diff --git a/.dockerignore b/.dockerignore index a27c7dc1b..3e886ee50 100644 --- a/.dockerignore +++ b/.dockerignore @@ -1,4 +1,4 @@ .env .git .github -.idea +.idea \ No newline at end of file diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 55cf5780f..11d314e70 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -1,2 +1,2 @@ -* @jgpruitt @cevian @avthars +* @jgpruitt @cevian @avthars @timescale/ts-vector /.github/ @jgpruitt @cevian @avthars diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 000000000..13ef61a2d --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,62 @@ +name: CI + +on: [push, pull_request, workflow_dispatch] +permissions: + contents: read + +jobs: + build-and-test: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v3 + + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: "3.10" + cache: "pip" # caching pip dependencies + + - run: pip install -r requirements-dev.txt + + - name: Verify Docker installation + run: | + docker --version + docker info + + - name: Build Docker image + run: make docker-build + + - name: Run Docker container + run: make docker-run + + - name: Build + run: docker exec pgai make build + + - name: Lint SQL and Python + run: docker exec pgai make lint + + - name: Check Python Formatting + run: docker exec pgai make format-py + + - name: Install extension and vectorizer + run: | + docker exec pgai make install + docker exec pgai make install-vec + + - name: Run test server + run: docker exec -d pgai make test-server + + - name: Run tests + run: docker exec pgai make test + + - name: Run vectorizer tests + run: make test-vectorizer + + - name: Run type check + run: make type-check-py + + - name: Stop and remove Docker container + run: | + make docker-stop + make docker-rm diff --git a/.gitignore b/.gitignore index b3b8fdf27..e422676b6 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,13 @@ .env .idea .venv +build +*.egg-info +__pycache__ +projects/extension/sql/ai--*.sql +projects/extension/tests/dump_restore/describe_objects.sql +projects/extension/tests/dump_restore/describe_schemas.sql +projects/extension/tests/dump_restore/dump.sql +projects/extension/tests/dump_restore/src.snapshot +projects/extension/tests/dump_restore/dst.snapshot +projects/extension/tests/*/*.actual diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md index 8486f709b..b2452ebd8 100644 --- a/DEVELOPMENT.md +++ b/DEVELOPMENT.md @@ -1,126 +1,237 @@ -# Develop and test changes to the pgai extension +# Develop and test changes to pgai -Want to contribute to the pgai project? Start here. +pgai brings embedding and generation AI models closer to the database. Want to contribute to the pgai project? +Start here. This page shows you: -This page shows you how to: +- [The pgai development workflow](#the-pgai-development-workflow): build, run and test pgai in a Docker container. +- [How to test pgai](#test-pgai): use the psql script to test your changes to pgai. +- [The pgai build architecture](#the-pgai-build-architecture): work with multiple versions of pgai in the same environment. -- [Set up a pgai development environment in Docker](#set-up-a-pgai-development-environment-in-docker): all necessary software and extensions to - develop pgai in a container. -- [Make changes to pgai](#make-changes-to-pgai): edit the pgai source and reflect the changes in the database -- [Test your pgai changes](#test-your-pgai-changes): use the tests.sql script to test your pgai changes. ## pgai Prerequisites -Before you start working with pgai, you need: +To make changes to the pgai extension, do the following in your developer environment: -* The pgai source on your local machine: +* Install: + * [Python3](https://www.python.org/downloads/). + * [Docker](https://docs.docker.com/get-docker/). + * A Postgres client like [psql](https://www.timescale.com/blog/how-to-install-psql-on-mac-ubuntu-debian-windows/) or [PopSQL](https://docs.timescale.com/use-timescale/latest/popsql/). +* Retrieve the API Keys for the LLM cloud providers you are working with. +* Clone the pgai source: ```bash git clone git@github.com:timescale/pgai.git + cd pgai ``` -* [Docker](https://docs.docker.com/get-docker/) -* If you will be working with OpenAI, you will need an [OpenAI API Key](https://platform.openai.com/api-keys). -* If you will be working with Ollama, you will need it [running somewhere accessible](https://github.com/ollama/ollama/blob/main/README.md#quickstart). - * [pull](https://github.com/ollama/ollama/blob/main/README.md#pull-a-model) the `llama3` model - * [pull](https://github.com/ollama/ollama/blob/main/README.md#pull-a-model) the `llava:7b` model -* You may want a Postgres client on your host machine like [Psql](https://www.timescale.com/blog/how-to-install-psql-on-mac-ubuntu-debian-windows/) or [PopSQL](https://docs.timescale.com/use-timescale/latest/popsql/) +* Ollama only: + * [Run Ollama somewhere accessible from your developer environment](https://github.com/ollama/ollama/blob/main/README.md#quickstart). + * [Pull the `llama3` and `llava:7b` models](https://github.com/ollama/ollama/blob/main/README.md#pull-a-model): + ```shell + ollama pull llama3 + ollama pull llava:7b + ``` -## Set up a pgai development environment in Docker +## The pgai development workflow -The pgai Docker container has all the software you need preinstalled. To build and run the -pgai Docker container, then connect to it: - -1. Navigate to the folder you cloned this pgai repository to. - -2. Build the Docker image: +To make changes to pgai: +1. Navigate to directory where you cloned the repo. +2. Build the docker image ```bash - make docker_build + make docker-build ``` - 3. Run the container: - ```bash - make docker_run + make docker-run ``` The repo directory is mounted to `/pgai` in the running container. -4. To get a shell inside the container, run - - ```bash - make docker_shell - ``` - You are logged in as root. +4. Work inside the container: + * **Docker shell**: + 1. Open get a shell session in the container: -5. Connect to the database: + ```bash + make docker-shell + ``` + You are logged in as root. - To connect from outside the container: - ```bash - psql -d "postgres://postgres@localhost:9876/postgres" - ``` - To connect from a shell within the container: - ```bash - su postgres - - psql - ``` + 2. Install the extension -6. Later, to stop and delete the container, run: - - ```bash - make docker_stop - ``` - - ```bash - make docker_rm - ``` + ```bash + make install + ``` -## Make changes to pgai + 3. Run the unit tests -The repo is mounted to `/pgai` in the docker container. You may edit the source -from either inside the docker container or from the host machine. + ```bash + make test + ``` -If you have updated the [unit tests](./tests) accordingly, you may simply -[test your changes](#test-your-pgai-changes), or you can manually update the -database with your changes. + 4. Clean build artifacts -To reflect your changes in the database manually, do the following from within -the docker container/virtual machine. + ```bash + make clean + ``` + + 5. Uninstall the extension -1. Copy the edited sources to the appropriate postgres directory: - ```bash - make install_extension - ``` -2. From a psql session, run: - ```bash - DROP EXTENSION IF EXISTS ai CASCADE; - CREATE EXTENSION ai CASCADE; + ```bash + make uninstall + ``` + + * **psql shell**: + 1. To get a psql shell to the database in the docker container: + + ```shell + make psql-shell + ``` + +7. Stop and delete the container: + + ```shell + # Stop the container + make docker-stop + # Delete the container + make docker-rm ``` -## Test your pgai changes -The [tests](./tests) directory contains unit tests in psql scripts. The -[test.sql](./test.sql) script drives test runs. +## Test pgai + +The [tests](./tests) directory contains the unit tests. -1. Create a .env file to store environment variables needed for testing: - - ENABLE_OPENAI_TESTS - a [boolean](https://www.postgresql.org/docs/current/app-psql.html#PSQL-METACOMMAND-IF) flag to enable/disable OpenAI unit tests - - ENABLE_OLLAMA_TESTS - a [boolean](https://www.postgresql.org/docs/current/app-psql.html#PSQL-METACOMMAND-IF) flag to enable/disable Ollama unit tests - - ENABLE_ANTHROPIC_TESTS - a [boolean](https://www.postgresql.org/docs/current/app-psql.html#PSQL-METACOMMAND-IF) flag to enable/disable Anthropic unit tests - - ENABLE_COHERE_TESTS - a [boolean](https://www.postgresql.org/docs/current/app-psql.html#PSQL-METACOMMAND-IF) flag to enable/disable Cohere unit tests - - OPENAI_API_KEY - an [OpenAI API Key](https://platform.openai.com/api-keys) to use for OpenAI unit testing - - OLLAMA_HOST - the URL to the Ollama instance to use for testing (e.g. `http://host.docker.internal:11434`) - - ANTHROPIC_API_KEY - an [Anthropic API Key](https://docs.anthropic.com/en/docs/quickstart#set-your-api-key) to use for Anthropic unit testing - - COHERE_API_KEY - a [Cohere API Key](https://docs.cohere.com/docs/rate-limits) to use for Cohere unit testing +To set up the pgai tests: -2. Run the tests +1. In a [.env](https://saurabh-kumar.com/python-dotenv/) file, add the variables associated with the component(s) you want to test: + - **OpenAI**: + - ENABLE_OPENAI_TESTS - set to `1` to enable OpenAI unit tests. + - OPENAI_API_KEY - an [OpenAI API Key](https://platform.openai.com/api-keys) for OpenAI unit testing. + - **Ollama**: + - ENABLE_OLLAMA_TESTS - set to `1` to enable Ollama unit tests. + - OLLAMA_HOST - the URL to the Ollama instance to use for testing. For example, `http://host.docker.internal:11434`. + - **Anthropic**: + - ENABLE_ANTHROPIC_TESTS - set to `1` to enable Anthropic unit tests. + - ANTHROPIC_API_KEY - an [Anthropic API Key](https://docs.anthropic.com/en/docs/quickstart#set-your-api-key) for Anthropic unit testing. + - **Cohere**: + - ENABLE_COHERE_TESTS - set to `1` to enable Cohere unit tests. + - COHERE_API_KEY - a [Cohere API Key](https://docs.cohere.com/docs/rate-limits) for Cohere unit testing. + +2. If you have made changes to the source, from a Docker shell, install the extension: + ```bash + make docker-shell + make install + ``` + You are in a Docker shell. + +3. Run the tests ```bash make test ``` - This will: - 1. run `make install_extension` to copy the sources from the `/pgai` directory to the correct postgres directory - 2. drop the "test" database if it exists - 3. create a "test" database - 4. create a database user named "tester" if it doesn't exist - 5. run [test.sh](./test.sh) to execute the unit tests against the "test" database + This runs pytest against the unit tests in the [./tests](./tests) directory: + 1. Drops the `test` database. + 2. Creates the `test` database. + 3. Creates the `test` database user. + 4. Runs the tests against the `test` database. + 5. The `test` database and `test` user are left after the tests run for debugging Best practice is to add new tests when you commit new functionality. + +## The pgai architecture + +pgai consists of [SQL](./sql) scripts and a [Python](./src) package. + +* [Develop SQL in pgai](#develop-sql-in-pgai) +* [Develop Python in pgai](#develop-python-in-pgai) +* [Versions prior to 0.4.0](#versions-prior-to-040): + + +### Develop SQL in pgai + +SQL code used by pgai is maintained in [./sql](./sql). + +The SQL is organized into: + +* **Idempotent scripts**: maintained in [./sql/idempotent](./sql/idempotent). + + Idempotent scripts consist of `CREATE OR REPLACE` style statements, usually as + functions. They are executed in alphanumeric order every time you install or + upgrade pgai. In general, it is safe to rename these scripts from one version to + the next. + +* **Incremental scripts**: maintained in [./sql/incremental](./sql/incremental). + + Incremental files create tables and other stateful-structures that should not be + dropped when you upgrade from one version to another. Each incremental script + migrates your environment from one version of pgai to the next. You execute each + incremental script exactly once. It is separate unit-of-work that either succeeds + or fails. + + Incremental scripts are executed in alphanumeric order on file name. Once an incremental script is published + in a release, you must not rename it. To facilitate migration, each incremental file is + [wrapped](./sql/migration.sql). Each migration id is tracked in the `migration` table. For more information, + see [./sql/head.sql](./sql/head.sql). + +* **Built scripts**: `./sql/ai--*.sql` + + `make build-sql` "compiles" the idempotent and incremental scripts into the final + form that is installed into a postgres environment as an extension. A script + named `./sql/ai--.sql` is built. For every prior version + (other than 0.1.0, 0.2.0, and 0.3.0), the file is copied to + `./sql/ai----.sql` to give postgres an upgrade + path from prior versions. The `./sql/ai.control` is also ensured to have the + correct version listed in it. + + When you release a new version, add the `./sql/ai--*.sql` scripts to this repo with your + pull request. The scripts from prior versions are checked in and should not be modified after + having been released. + +If you are exclusively working on SQL, you may want to forego the high-level make +targets in favor of the SQL-specific make targets: + +1. **Clean your environment**: run `make clean-sql` to delete `./sql/ai--*.sql`. + + The `` is defined in `versions()` in [./build.py](./build.py). + +1. **Build pgai**: run `make build-sql` to compile idempotent and incremental scripts + into `./sql/ai--*.sql`. +1. **Install pgai**: run `make install-sql` to install `./sql/ai--*.sql` and `./sql/ai*.control` into your local + environment. + + +### Develop Python in pgai + +Python code used by the pgai is maintained in [./src](./src). + +Database functions +written in [plpython3u](https://www.postgresql.org/docs/current/plpython.html) +can import the modules in this package and any dependencies specified in +[./src/pyproject.toml](./src/pyproject.toml). Including the following line at the +beginning of the database function body will allow you to import. The +build process replaces this comment line with Python code that makes this +possible. Note that the leading four spaces are required. + +```python + #ADD-PYTHON-LIB-DIR +``` + +In order to support multiple versions of pgai in the same Postgres installation, each version of the Python code and +its associated dependencies is installed in `/usr/local/lib/pgai/` + +If you are exclusively working on Python, you may want to forego the high-level make +targets in favor of the Python-specific make targets: + +1. **Clean your environment**: run `make clean-py` to remove build artifacts from your developer environment. +1. **Install pgai**: + To compile and install the python package with its associated dependencies. + * Current version: run `make install-py`. + * Versions prior to 0.4.0: run `make install-prior-py`. +1. **Uninstall pgai**: run `make uninstall-py` and delete all versions of the Python code from + `/usr/local/lib/pgai`. + + +### Versions prior to 0.4.0 + +Prior to pgai v0.4.0, Python dependencies were installed system-wide. Until pgai versions 0.1 - 0.3 are deprecated +[old dependencies](./src/old_requirements.txt) are installed system-wide. + diff --git a/Dockerfile b/Dockerfile index 2178f2bbd..4bf02854f 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,25 +1,71 @@ # syntax=docker/dockerfile:1.3-labs -FROM postgres:16 +ARG PG_MAJOR +FROM postgres:${PG_MAJOR} + ENV WHERE_AM_I=docker ENV DEBIAN_FRONTEND=noninteractive USER root -RUN set -eux; \ +RUN set -e; \ apt-get update; \ apt-get upgrade -y; \ apt-get install -y --no-install-recommends \ - postgresql-16 \ - postgresql-plpython3-16 \ - postgresql-16-pgvector \ + postgresql-plpython3-${PG_MAJOR} \ + postgresql-${PG_MAJOR}-pgvector \ + postgresql-${PG_MAJOR}-pgextwlist \ + postgresql-server-dev-${PG_MAJOR} \ python3-pip \ + build-essential \ + pkg-config \ make \ + cmake \ + clang \ + git \ + curl \ vim -COPY requirements.txt /tmp/ -RUN pip install --break-system-packages -r /tmp/requirements.txt +# install timescaledb +RUN set -e; \ + mkdir -p /build/timescaledb; \ + git clone https://github.com/timescale/timescaledb.git --branch 2.16.1 /build/timescaledb; \ + cd /build/timescaledb; \ + bash ./bootstrap; \ + cd build && make; \ + make install; \ + rm -rf /build/timescaledb + +# install pgvectorscale +ARG RUSTFLAGS +RUN curl https://sh.rustup.rs -sSf | sh -s -- -y +ENV PATH="/root/.cargo/bin:${PATH}" +RUN set -e; \ + rustup install stable; \ + cargo install cargo-pgrx --version 0.11.4 --locked; \ + cargo pgrx init --pg${PG_MAJOR} pg_config; \ + mkdir -p /build/pgvectorscale; \ + git clone --branch 0.3.0 https://github.com/timescale/pgvectorscale /build/pgvectorscale; \ + cd /build/pgvectorscale/pgvectorscale; \ + if [ -n "$RUSTFLAGS" ]; then \ + export RUSTFLAGS=${RUSTFLAGS}; \ + fi; \ + cargo pgrx install --release --features pg${PG_MAJOR}; \ + rm -rf /build/pgvectorscale + +# install pgspot +ENV PIP_BREAK_SYSTEM_PACKAGES=1 +RUN set -eux; \ + git clone https://github.com/timescale/pgspot.git /build/pgspot; \ + pip install /build/pgspot; \ + rm -rf /build/pgspot + +# install our dev/test python dependencies +ENV PIP_BREAK_SYSTEM_PACKAGES=1 +COPY requirements-test.txt /build/requirements-test.txt +RUN pip install -r /build/requirements-test.txt +COPY projects/pgai/requirements.txt /build/requirements-pgai.txt +RUN pip install -r /build/requirements-pgai.txt -COPY ./ai.control /usr/share/postgresql/16/extension/ -COPY ./ai--*.sql /usr/share/postgresql/16/extension/ -RUN chmod -R go+w /usr/share/postgresql/16/extension/ -RUN chmod -R go+w /usr/lib/postgresql/16/lib/ WORKDIR /pgai + +COPY . . +RUN make install diff --git a/Makefile b/Makefile index 8acc3b94f..7e536ffca 100644 --- a/Makefile +++ b/Makefile @@ -1,62 +1,156 @@ -# Makefile for installing the ai extension +PG_MAJOR?=16 +PG_BIN?="/usr/lib/postgresql/$(PG_MAJOR)/bin" -# Extension name -PGAI_EXTENSION := ai +.PHONY: default +default: help + +.PHONY: help +help: + @./build.py help + @echo "- docker-shell launches a bash shell in the container" + @echo "- docker-psql launches a psql shell in the container" -# Find the PostgreSQL extension directory -PG_SHAREDIR := $(shell pg_config --sharedir) -EXTENSION_DIR := $(PG_SHAREDIR)/extension +.PHONY: clean +clean: + @./build.py clean -# Files to be installed -SQL_FILES := $(wildcard $(PGAI_EXTENSION)--*.sql) -CONTROL_FILE := $(PGAI_EXTENSION).control +.PHONY: clean-sql +clean-sql: + @./build.py clean-sql -# Default target -default: help +.PHONY: clean-py +clean-py: + @./build.py clean-py + +.PHONY: clean-vec +clean-vec: + @./build.py clean-vec + +.PHONY: build +build: + @PG_BIN=$(PG_BIN) ./build.py build + +.PHONY: install +install: + @PG_BIN=$(PG_BIN) ./build.py install + +.PHONY: build-install +build-install: + @PG_BIN=$(PG_BIN) ./build.py build-install + +.PHONY: install-sql +install-sql: + @PG_BIN=$(PG_BIN) ./build.py install-sql + +.PHONY: install-prior-py +install-prior-py: + @./build.py install-prior-py + +.PHONY: install-py +install-py: + @./build.py install-py + +.PHONY: install-vec +install-vec: + @./build.py install-vec + +.PHONY: uninstall +uninstall: + @PG_BIN=$(PG_BIN) ./build.py uninstall + +.PHONY: uninstall-sql +uninstall-sql: + @PG_BIN=$(PG_BIN) ./build.py uninstall-sql -# Install target -install: install_extension install_python_packages +.PHONY: uninstall-py +uninstall-py: + @./build.py uninstall-py -# Install the extension files -install_extension: - @cp $(SQL_FILES) $(EXTENSION_DIR) - @cp $(CONTROL_FILE) $(EXTENSION_DIR) +.PHONY: uninstall-vec +uninstall-vec: + @./build.py uninstall-vec -export PIP_BREAK_SYSTEM_PACKAGES=1 +.PHONY: build-sql +build-sql: + @./build.py build-sql -# Install the required Python packages -install_python_packages: - @pip3 install -r requirements.txt +.PHONY: test-server +test-server: + @./build.py test-server -test: install_extension - @./test.sh +.PHONY: vectorizer +vectorizer: + @./build.py vectorizer -docker_build: - @docker build -t pgai . +.PHONY: test-vectorizer +test-vectorizer: + @cd projects/pgai && pytest -docker_run: - @docker run -d --name pgai -p 127.0.0.1:9876:5432 -e POSTGRES_HOST_AUTH_METHOD=trust --mount type=bind,src=$(shell pwd),dst=/pgai pgai +.PHONY: test +test: + @./build.py test -docker_stop: - @docker stop pgai +.PHONY: lint-sql +lint-sql: + @./build.py lint-sql -docker_rm: - @docker rm pgai +.PHONY: lint-py +lint-py: type-check-py + @./build.py lint-py -docker_shell: +.PHONY: lint +lint: type-check-py + @./build.py lint + +.PHONY: type-check-py +type-check-py: + pyright + +.PHONY: format-py +format-py: + @./build.py format-py + +.PHONY: docker-build +docker-build: + @PG_MAJOR=$(PG_MAJOR) ./build.py docker-build + +.PHONY: docker-build-vec +docker-build-vec: + @./build.py docker-build-vec + +.PHONY: docker-run +docker-run: + @./build.py docker-run + +.PHONY: docker-run-vec +docker-run-vec: + @./build.py docker-run-vec + +.PHONY: docker-stop +docker-stop: + @./build.py docker-stop + +.PHONY: docker-stop-vec +docker-stop-vec: + @./build.py docker-stop-vec + +.PHONY: docker-rm +docker-rm: + @./build.py docker-rm + +.PHONY: docker-rm-vec +docker-rm-vec: + @./build.py docker-rm-vec + +.PHONY: run +run: + @PG_MAJOR=$(PG_MAJOR) PG_BIN=$(PG_BIN) ./build.py run + @docker exec -it -u postgres pgai /bin/bash -c "set -e; if [ -f .env ]; then set -a; source .env; set +a; fi; psql" + +.PHONY: docker-shell +docker-shell: @docker exec -it -u root pgai /bin/bash -# Display help message with available targets -help: - @echo "Available targets:" - @echo " install Install the pgai extension and Python dependencies" - @echo " install_extension Install the pgai extension files" - @echo " install_python_packages Install required Python packages" - @echo " test Runs the unit tests in the database" - @echo " docker_build Builds a Docker image for a development container" - @echo " docker_run Runs a Docker container for development" - @echo " docker_stop Stops the docker container" - @echo " docker_rm Deletes the Docker container" - @echo " docker_shell Gets a shell inside the development Docker container" - -.PHONY: default install install_extension install_python_packages test docker_build docker_run docker_delete docker_shell help +.PHONY: psql-shell +psql-shell: + @docker exec -it -u postgres pgai /bin/bash -c "set -e; if [ -f .env ]; then set -a; source .env; set +a; fi; psql" diff --git a/README.md b/README.md index 2f9390960..52eb5f233 100644 --- a/README.md +++ b/README.md @@ -11,13 +11,12 @@ pgai simplifies the process of building [search](https://en.wikipedia.org/wiki/Similarity_search), and -[Retrieval Augmented Generation](https://en.wikipedia.org/wiki/Prompt_engineering#Retrieval-augmented_generation)(RAG) AI applications with PostgreSQL. +[Retrieval Augmented Generation](https://en.wikipedia.org/wiki/Prompt_engineering#Retrieval-augmented_generation) (RAG) AI applications with PostgreSQL. pgai brings embedding and generation AI models closer to the database. With pgai, you can now do the following directly from within PostgreSQL in a SQL query: -* Create [embeddings](#embed) for your data. -* Retrieve LLM [chat completions](#chat-complete) from models like OpenAI GPT4o and Llama 3. -* Generate responses for models such as Ollama. +* Create vector [embeddings](#embed) for your data. +* Retrieve LLM [chat completions](#chat-complete) from models like Claude Sonnet 3.5, OpenAI GPT4o, Cohere Command, and Llama 3 (via Ollama). * Reason over your data and facilitate use cases like [classification, summarization, and data enrichment](docs/advanced.md) on your existing relational data in PostgreSQL. Here's how to get started with pgai: @@ -25,7 +24,7 @@ Here's how to get started with pgai: * **Everyone**: Use pgai in your PostgreSQL database. 1. [Install pgai](#installation). 1. Use pgai to integrate AI from your provider: - * [Ollama](./docs/ollama.md) - configure pgai for Ollama, then use the model to embed, chat complete and generate. + * [Ollama](./docs/ollama.md) - configure pgai for Ollama, then use the model to embed, chat complete and generate. * [OpenAI](./docs/openai.md) - configure pgai for OpenAI, then use the model to tokenize, embed, chat complete and moderate. This page also includes advanced examples. * [Anthropic](./docs/anthropic.md) - configure pgai for Anthropic, then use the model to generate content. * [Cohere](./docs/cohere.md) - configure pgai for Cohere, then use the model to tokenize, embed, chat complete, classify, and rerank. @@ -41,8 +40,8 @@ The fastest ways to run PostgreSQL with the pgai extension are to: 1. Create your database environment. Either: * [Use a pre-built Docker container](#use-a-pre-built-docker-container). - * [Install from source](#install-from-source). * [Use a Timescale Cloud service](#use-a-timescale-cloud-service). + * [Install from source](#install-from-source). 2. [Enable the pgai extension](#enable-the-pgai-extension-in-your-database). @@ -50,94 +49,58 @@ The fastest ways to run PostgreSQL with the pgai extension are to: ### Use a pre-built Docker container -[Run the TimescaleDB Docker image](https://docs.timescale.com/self-hosted/latest/install/installation-docker/). - - -### Install from source - -You can install pgai from source on an existing PostgreSQL server. Ensure you -have [Python3][python3] and [pip][pip] installed system-wide. You can check if -they are already installed with: - -```bash -python3 --version -pip --version -``` - -Additionally, you will need to install the [plpython3][plpython3u] and -[pgvector][pgvector] extensions. To check if the extensions are already -available in your database, run the query: +[Run the TimescaleDB Docker image](https://docs.timescale.com/self-hosted/latest/install/installation-docker/), then +[enable the pgai extension](#enable-the-pgai-extension-in-your-database). -```sql -select * from pg_available_extensions where name in ('vector', 'plpython3u') -``` - -You should have one row per extension: - -``` --[ RECORD 1 ]------------------------- -name | plpython3u -default_version | 1.0 -installed_version | 1.0 -comment | PL/Python3U untrusted procedural language --[ RECORD 2 ]------------------------- -name | vector -default_version | 0.7.2 -installed_version | 0.7.2 -comment | vector data type and ivfflat and hnsw access methods -``` - -To install them, run the queries: +### Use a Timescale Cloud service -```sql -create extension plpython3u; -create extension vector; -``` +pgai is available for [new][create-a-new-service] or existing Timescale Cloud services. For any service, +[enable the pgai extension](#enable-the-pgai-extension-in-your-database). -Otherwise, for pgvector you can follow the [install -instructions][pgvector-install] from the official repository. -For plpython3, follow the [How to install Postgres 16 with plpython3u: Recipes -for macOS, Ubuntu, Debian, CentOS, Docker][pgai-plpython] instructions from the -postgres-ai repository. +### Install from source -> [!NOTE] -> For macOS users, unfortunately the standard brew the standard postgresql -> formula in Homebrew is missing the `plpython3` extension. The instructions -> above suggest an alternative brew formula. +To install pgai from source on a PostgreSQL server: -If you are installing PostgreSQL using the [Postgresql plugin][asdf-postgres] -for the [asdf][asdf] version manager, set the --with-python option during -installation: +1. **Install the prerequisite software system-wide** + - **Python3**: if running `python3 --version` in Terminal returns `command + not found`, download and install the latest version of [Python3][python3]. -```bash -POSTGRES_EXTRA_CONFIGURE_OPTIONS=--with-python asdf install postgres 16.3 -``` + - **Pip**: if running `pip --version` in Terminal returns `command not found`: + - **Standard installation**: use one of the pip [supported methods][pip]. + - **Virtual environment**: usually, pip is automatically installed if you are working in a + [Python virtual environment][python-virtual-environment]. If you are running PostgreSQL in a virtual + environment, pgai requires several python packages. Set the `PYTHONPATH` and `VIRTUAL_ENV` + environment variables before you start your PostgreSQL server. -After installing these prerequisites, run: + ```bash + PYTHONPATH=/path/to/venv/lib/python3.12/site-packages \ + VIRTUAL_ENV=/path/to/venv \ + pg_ctl -D /path/to/data -l logfile start + ``` + - **PL/Python**: follow [How to install Postgres 16 with plpython3u: Recipes for macOS, Ubuntu, Debian, CentOS, Docker][pgai-plpython]. -```bash -make install -``` + _macOS_: the standard PostgreSQL brew in Homebrew does not include the `plpython3` extension. These instructions show + how to install from an alternate tap. -#### Python virtual environment + - **[Postgresql plugin][asdf-postgres] for the [asdf][asdf] version manager**: set the `--with-python` option + when installing PostgreSQL: -The extension requires several python packages, if you prefer working with -python virtual environments, set the `PYTHONPATH` and `VIRTUAL_ENV` environment -variables when starting your PostgreSQL server. + ```bash + POSTGRES_EXTRA_CONFIGURE_OPTIONS=--with-python asdf install postgres 16.3 + ``` -```bash -PYTHONPATH=/path/to/venv/lib/python3.12/site-packages \ -VIRTUAL_ENV=/path/to/venv \ -pg_ctl -D /path/to/data -l logfile start -``` + - **pgvector**: follow the [install instructions][pgvector-install] from the official repository. -### Use a Timescale Cloud service + These extensions are automatically added to your PostgreSQL database when you + [Enable the pgai extension](#enable-the-pgai-extension-in-your-database). -Create a new [Timescale Service](https://console.cloud.timescale.com/dashboard/create_services). +1. Make this `pgai` extension: -If you want to use an existing service, pgai is added as an available extension on the first maintenance window -after the pgai release date. + ```bash + make install + ``` +1. [Enable the pgai extension](#enable-the-pgai-extension-in-your-database). ### Enable the pgai extension in your database @@ -181,7 +144,9 @@ for the most demanding AI, time-series, analytics, and event workloads. Timescal [asdf-postgres]: https://github.com/smashedtoatoms/asdf-postgres [asdf]: https://github.com/asdf-vm/asdf [python3]: https://www.python.org/downloads/ -[pip]: https://pip.pypa.io/en/stable/ +[pip]: https://pip.pypa.io/en/stable/installation/#supported-methods [plpython3u]: https://www.postgresql.org/docs/current/plpython.html [pgvector]: https://github.com/pgvector/pgvector [pgvector-install]: https://github.com/pgvector/pgvector?tab=readme-ov-file#installation +[python-virtual-environment]: https://packaging.python.org/en/latest/tutorials/installing-packages/#creating-and-using-virtual-environments +[create-a-new-service]: https://console.cloud.timescale.com/dashboard/create_services diff --git a/build.py b/build.py new file mode 100755 index 000000000..908d1f821 --- /dev/null +++ b/build.py @@ -0,0 +1,729 @@ +#!/usr/bin/env python3 +import os +import platform +import shutil +import subprocess +import sys +import tempfile +from pathlib import Path + +HELP = """Available targets: +- help displays this message and exits +- build-install runs build followed by install +- install installs the project +- install-sql installs the sql files into the postgres installation +- install-prior-py installs the extension's python package for prior versions +- install-py installs the extension's python package +- install-vec installs the vectorizer python tool +- uninstall uninstalls the project +- uninstall-sql removes the sql extension from the postgres installation +- uninstall-py removes the extension's python package from the system +- uninstall-vec removes the vectorizer python tool from the system +- build alias for build-sql +- build-sql constructs the sql files for the extension +- clean removes python build artifacts from the src dir +- clean-sql removes sql file artifacts from the sql dir +- clean-py removes python build artifacts from the extension src dir +- clean-vec removes python build artifacts from the vectorizer src dir +- test runs the tests in the docker container +- test-server runs the test http server in the docker container +- vectorizer runs the vectorizer python tool in the docker container +- lint-sql runs pgspot against the `ai--.sql` file +- lint-py runs ruff linter against the python source files +- lint runs both sql and python linters +- format-py runs ruff to check formatting of the python source files +- docker-build builds the dev docker image +- docker-run launches a container in docker using the docker image +- docker-stop stops the container +- docker-rm deletes the dev container +- docker-build-vec builds the docker image for the vectorizer tool +- docker-run-vec runs a docker container for the vectorizer tool +- docker-stop-vec stops the docker container for the vectorizer tool +- docker-rm-vec deletes the docker container for the vectorizer tool +- run builds+runs the dev container and installs the extension""" + + +def versions() -> list[str]: + return [ + "0.4.0", + "0.3.0", + "0.2.0", + "0.1.0", + ] # ADD NEW VERSIONS TO THE FRONT OF THIS LIST! STAY SORTED PLEASE + + +def this_version() -> str: + return versions()[0] + + +def prior_versions() -> list[str]: + return versions()[1:] if len(versions()) > 1 else [] + + +def pg_major() -> str | None: + return os.getenv("PG_MAJOR") + + +def root_dir() -> Path: + return Path(__file__).resolve().parent + + +def sql_dir() -> Path: + return project_extension_dir().joinpath("sql").resolve() + + +def projects_dir() -> Path: + return root_dir().joinpath("projects").resolve() + + +def project_extension_dir() -> Path: + return projects_dir().joinpath("extension").resolve() + + +def project_pgai_dir() -> Path: + return projects_dir().joinpath("pgai").resolve() + + +def incremental_sql_dir() -> Path: + return sql_dir().joinpath("incremental") + + +def idempotent_sql_dir() -> Path: + return sql_dir().joinpath("idempotent") + + +def idempotent_sql_files() -> list[Path]: + paths = [x for x in idempotent_sql_dir().glob("*.sql")] + paths.sort() + return paths + + +def check_idempotent_sql_files(paths: list[Path]) -> None: + prev = 0 + for path in paths: + this = int(path.name[0:3]) + if this != 999 and this != prev + 1: + print( + f"idempotent sql files must be strictly ordered. this: {this} prev: {prev}", + file=sys.stderr, + ) + sys.exit(1) + prev = this + + +def incremental_sql_files() -> list[Path]: + paths = [x for x in incremental_sql_dir().glob("*.sql")] + paths.sort() + return paths + + +def check_incremental_sql_files(paths: list[Path]) -> None: + prev = 0 + for path in paths: + this = int(path.name[0:3]) + if this != prev + 1: + print( + f"incremental sql files must be strictly ordered. this: {this} prev: {prev}", + file=sys.stderr, + ) + sys.exit(1) + prev = this + + +def output_sql_file() -> Path: + return sql_dir().joinpath(f"ai--{this_version()}.sql") + + +def tests_dir() -> Path: + return project_extension_dir().joinpath("tests").absolute() + + +def where_am_i() -> str: + if "WHERE_AM_I" in os.environ and os.environ["WHERE_AM_I"] == "docker": + return "docker" + return "host" + + +def build_sql_control_file() -> None: + ctl_file = sql_dir().joinpath("ai.control") + content = ctl_file.read_text() + lines = [] + for line in content.splitlines(keepends=True): + if line.startswith("default_version"): + lines.append(f"default_version='{this_version()}'\n") + else: + lines.append(line) + ctl_file.write_text("".join(lines)) + + +def build_incremental_sql_file(input_file: Path) -> str: + template = sql_dir().joinpath("migration.sql").read_text() + migration_name = input_file.name + migration_body = input_file.read_text() + version = this_version() + migration_body = migration_body.replace("@extversion@", version) + return template.format( + migration_name=migration_name, migration_body=migration_body, version=version + ) + + +def build_idempotent_sql_file(input_file: Path) -> str: + inject = f""" + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '{python_install_dir()}') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("{this_version()}") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("{this_version()}" == ai_version) + GD["ai.version"] = "{this_version()}" + else: + if GD["ai.version"] != "{this_version()}": + plpy.fatal("the pgai extension version has changed. start a new session") + """ + # keep leading indentation + # remove first and last (blank) lines + inject = "".join(inject.splitlines(keepends=True)[1:-1]) + code = input_file.read_text() + code = code.replace("@extversion@", this_version()) + return code.replace( + """ #ADD-PYTHON-LIB-DIR\n""", inject + ) # leading 4 spaces is intentional + + +def build_sql() -> None: + build_sql_control_file() + hr = "".rjust(80, "-") + osf = output_sql_file() + osf.unlink(missing_ok=True) + with osf.open("w") as wf: + wf.write(f"{hr}\n-- {this_version()}\n\n\n") + with sql_dir().joinpath("head.sql").open("r") as rf: + shutil.copyfileobj(rf, wf) + wf.write("\n\n\n") + files = incremental_sql_files() + check_incremental_sql_files(files) + for inc_file in files: + code = build_incremental_sql_file(inc_file) + wf.write(code) + wf.write("\n\n\n") + files = idempotent_sql_files() + check_idempotent_sql_files(files) + for idm_file in files: + wf.write(f"{hr}\n-- {idm_file.name}\n") + wf.write(build_idempotent_sql_file(idm_file)) + wf.write("\n\n\n") + wf.flush() + wf.close() + for prior_version in prior_versions(): + if prior_version in { + "0.3.0", + "0.2.0", + "0.1.0", + }: # we don't allow upgrades from these versions + continue + dest = sql_dir().joinpath(f"ai--{prior_version}--{this_version()}.sql") + dest.unlink(missing_ok=True) + shutil.copyfile(osf, dest) + + +def clean_sql() -> None: + for f in sql_dir().glob(f"ai--*.*.*--{this_version()}.sql"): + f.unlink(missing_ok=True) + sql_dir().joinpath(f"ai--{this_version()}.sql").unlink(missing_ok=True) + + +def postgres_bin_dir() -> Path: + bin_dir = os.getenv("PG_BIN") + if bin_dir: + return Path(bin_dir).resolve() + else: + bin_dir = Path(f"/usr/lib/postgresql/{pg_major()}/bin") + if bin_dir.exists(): + return bin_dir.absolute() + else: + p = shutil.which("pg_config") + if not p: + print("pg_config not found", file=sys.stderr) + sys.exit(1) + return Path(p).parent.resolve() + + +def pg_config() -> Path: + return postgres_bin_dir().joinpath("pg_config") + + +def extension_install_dir() -> Path: + proc = subprocess.run( + f"{pg_config()} --sharedir", + check=True, + shell=True, + env=os.environ, + text=True, + capture_output=True, + ) + return Path(str(proc.stdout).strip()).resolve().joinpath("extension") + + +def install_sql() -> None: + ext_dir = extension_install_dir() + if not ext_dir.exists(): + print(f"extension directory does not exist: {ext_dir}", file=sys.stderr) + sys.exit(1) + this_sql_file = sql_dir().joinpath(f"ai--{this_version()}.sql") + if not this_sql_file.exists(): + print(f"required sql file is missing: {this_sql_file}", file=sys.stderr) + sys.exit(1) + for src in sql_dir().glob("ai*.control"): + dest = ext_dir.joinpath(src.name) + shutil.copyfile(src, dest) + for src in sql_dir().glob("ai--*.sql"): + dest = ext_dir.joinpath(src.name) + shutil.copyfile(src, dest) + + +def uninstall_sql() -> None: + ext_dir = extension_install_dir() + if not ext_dir.exists(): + return + for f in ext_dir.glob("ai*.control"): + f.unlink() + for f in ext_dir.glob("ai--*.sql"): + f.unlink() + + +def python_install_dir() -> Path: + # think long and hard before you change this path + # don't do it. i'm warning you + # seriously. + # you'll wreck old versions. look at build_idempotent_sql_file() + return Path( + "/usr/local/lib/pgai" + ).resolve() # CONTROLS WHERE THE PYTHON LIB AND DEPS ARE INSTALLED + + +def install_old_py_deps() -> None: + # this is necessary for versions prior to 0.4.0 + # we will deprecate these versions and then get rid of this function + old_reqs_file = project_extension_dir().joinpath("old_requirements.txt").resolve() + if old_reqs_file.exists(): + env = {k: v for k, v in os.environ.items()} + env["PIP_BREAK_SYSTEM_PACKAGES"] = "1" + subprocess.run( + f"pip3 install -v --compile -r {old_reqs_file}", + shell=True, + check=True, + env=env, + cwd=str(project_extension_dir()), + ) + + +def install_prior_py() -> None: + install_old_py_deps() + for version in prior_versions(): + if version in { + "0.3.0", + "0.2.0", + "0.1.0", + }: # these are handled by install_old_py_deps() + continue + if os.sep in version: + print( + f"'{os.sep}' in version {version}. this is not supported", + file=sys.stderr, + ) + sys.exit(1) + version_target_dir = python_install_dir().joinpath(version) + if version_target_dir.exists(): + continue + tmp_dir = Path(tempfile.gettempdir()).joinpath("pgai", version) + tmp_dir.mkdir(parents=True, exist_ok=True) + subprocess.run( + f"git clone https://github.com/timescale/pgai.git --branch {version} {tmp_dir}", + shell=True, + check=True, + env=os.environ, + ) + tmp_src_dir = tmp_dir.joinpath("src").resolve() + subprocess.run( + f'pip3 install -v --compile -t "{version_target_dir}" "{tmp_src_dir}"', + check=True, + shell=True, + env=os.environ, + cwd=str(tmp_src_dir), + ) + shutil.rmtree(tmp_dir) + + +def build_init_py() -> None: + # ai/__init__.py is checked in to version control. So, all the previous + # versions will have the file with the correct version already in it. This + # function just ensures that you can't screw up the current version. The + # only place you have to update the version when starting a new release is + # in the versions() function. + init_py = project_extension_dir().joinpath("ai", "__init__.py").resolve() + content = init_py.read_text() + lines = [] + for line in content.splitlines(keepends=True): + if line.startswith("__version__"): + lines.append(f'__version__ = "{this_version()}"\n') + else: + lines.append(line) + init_py.write_text("".join(lines)) + + +def install_py() -> None: + build_init_py() + python_install_dir().mkdir(exist_ok=True) + version = this_version() + version_target_dir = python_install_dir().joinpath(version) + if version_target_dir.exists(): + # if it already exists, assume the dependencies have already been installed + # and just install *our* code. this is for development workflow speed + d = version_target_dir.joinpath("ai") # delete module if exists + if d.exists(): + shutil.rmtree(d) + for d in version_target_dir.glob( + "pgai-*.dist-info" + ): # delete package info if exists + shutil.rmtree(d) + subprocess.run( + f'pip3 install -v --no-deps --compile -t "{version_target_dir}" "{project_extension_dir()}"', + check=True, + shell=True, + env=os.environ, + cwd=str(project_extension_dir()), + ) + else: + version_target_dir.mkdir(exist_ok=True) + subprocess.run( + f'pip3 install -v --compile -t "{version_target_dir}" "{project_extension_dir()}"', + check=True, + shell=True, + env=os.environ, + cwd=str(project_extension_dir()), + ) + + +def clean_py() -> None: + d = project_extension_dir().joinpath("build") + if d.exists(): + shutil.rmtree(d, ignore_errors=True) + d = project_extension_dir().joinpath("pgai.egg-info") + if d.exists(): + shutil.rmtree(d, ignore_errors=True) + + +def uninstall_py() -> None: + shutil.rmtree(python_install_dir(), ignore_errors=True) + + +def build_pgai_init_py() -> None: + # pgai/__init__.py is checked in to version control. So, all the previous + # versions will have the file with the correct version already in it. This + # function just ensures that you can't screw up the current version. The + # only place you have to update the version when starting a new release is + # in the versions() function. + init_py = project_pgai_dir().joinpath("pgai", "__init__.py").resolve() + content = init_py.read_text() + lines = [] + for line in content.splitlines(keepends=True): + if line.startswith("__version__"): + lines.append(f'__version__ = "{this_version()}"\n') + else: + lines.append(line) + init_py.write_text("".join(lines)) + + +def install_vectorizer() -> None: + build_pgai_init_py() + subprocess.run( + f'pip3 install -v --compile "{project_pgai_dir()}"', + check=True, + shell=True, + env=os.environ, + cwd=str(project_pgai_dir()), + ) + + +def clean_vectorizer() -> None: + d = project_pgai_dir().joinpath("build") + if d.exists(): + shutil.rmtree(d, ignore_errors=True) + d = project_pgai_dir().joinpath("vectorizer.egg-info") + if d.exists(): + shutil.rmtree(d, ignore_errors=True) + + +def uninstall_vectorizer() -> None: + subprocess.run( + "pip3 uninstall -v -y vectorizer", + check=True, + shell=True, + env=os.environ, + cwd=str(project_pgai_dir()), + ) + + +def uninstall() -> None: + uninstall_sql() + uninstall_py() + uninstall_vectorizer() + + +def build() -> None: + build_sql() + + +def install() -> None: + install_prior_py() + install_py() + install_sql() + # installing the vectorizer cli tool should be explicit + + +def build_install() -> None: + build() + install() + + +def clean() -> None: + clean_sql() + clean_py() + clean_vectorizer() + + +def test_server() -> None: + if where_am_i() == "host": + cmd = "docker exec -it -w /pgai/projects/extension/tests/vectorizer pgai fastapi dev server.py" + subprocess.run(cmd, shell=True, check=True, env=os.environ, cwd=root_dir()) + else: + cmd = "fastapi dev server.py" + subprocess.run( + cmd, + shell=True, + check=True, + env=os.environ, + cwd=tests_dir().joinpath("vectorizer"), + ) + + +def vectorizer() -> None: + if where_am_i() == "host": + cmd = "docker exec -it pgai vectorizer --version" + subprocess.run(cmd, shell=True, check=True, env=os.environ, cwd=root_dir()) + else: + cmd = "vectorizer --version" + subprocess.run( + cmd, + shell=True, + check=True, + env=os.environ, + cwd=root_dir(), + ) + + +def test() -> None: + subprocess.run("pytest", shell=True, check=True, env=os.environ, cwd=tests_dir()) + + +def lint_sql() -> None: + sql = sql_dir().joinpath(f"ai--{this_version()}.sql") + cmd = " ".join( + [ + "pgspot --ignore-lang=plpython3u", + '--proc-without-search-path "ai._vectorizer_job(job_id integer,config jsonb)"', + f"{sql}", + ] + ) + subprocess.run(cmd, shell=True, check=True, env=os.environ) + + +def lint_py() -> None: + subprocess.run( + f"ruff check {projects_dir()}", shell=True, check=True, env=os.environ + ) + + +def lint() -> None: + lint_py() + lint_sql() + + +def format_py() -> None: + subprocess.run( + f"ruff format --diff {projects_dir()}", shell=True, check=True, env=os.environ + ) + + +def docker_build() -> None: + if platform.machine().lower() in {"i386", "i686", "x86_64"}: + rust_flags = "--build-arg RUSTFLAGS='-C target-feature=+avx2,+fma'" + else: + rust_flags = "" + subprocess.run( + f"""docker build --build-arg PG_MAJOR={pg_major()} {rust_flags} -t pgai .""", + shell=True, + check=True, + env=os.environ, + text=True, + cwd=root_dir(), + ) + + +def docker_build_vectorizer() -> None: + subprocess.run( + f"""docker build -t pgai/vectorizer:latest -t pgai/vectorizer:{this_version()} .""", + shell=True, + check=True, + env=os.environ, + text=True, + cwd=project_pgai_dir(), + ) + + +def docker_run() -> None: + # Set TESTCONTAINERS_HOST_OVERRIDE when running on MacOS. + env_var = "" + if platform.system() == "Darwin": + env_var = "-e TESTCONTAINERS_HOST_OVERRIDE=host.docker.internal" + cmd = " ".join( + [ + "docker run -d --name pgai -p 127.0.0.1:5432:5432 -e POSTGRES_HOST_AUTH_METHOD=trust", + "-v /var/run/docker.sock:/var/run/docker.sock", + f"--mount type=bind,src={root_dir()},dst=/pgai", + env_var, # Include the environment variable if on macOS + "pgai", + "-c shared_preload_libraries='timescaledb, pgextwlist'", + "-c extwlist.extensions='ai,vector'", + ] + ) + subprocess.run(cmd, shell=True, check=True, env=os.environ, text=True) + + +def docker_run_vectorizer() -> None: + cmd = " ".join( + [ + f"docker run -d --name vectorizer pgai/vectorizer:{this_version()}", + ] + ) + subprocess.run(cmd, shell=True, check=True, env=os.environ, text=True) + + +def docker_stop() -> None: + subprocess.run( + """docker stop pgai""", shell=True, check=True, env=os.environ, text=True + ) + + +def docker_stop_vectorizer() -> None: + subprocess.run( + """docker stop vectorizer""", shell=True, check=True, env=os.environ, text=True + ) + + +def docker_rm() -> None: + subprocess.run( + """docker rm --force --volumes pgai""", + shell=True, + check=True, + env=os.environ, + text=True, + ) + + +def docker_rm_vectorizer() -> None: + subprocess.run( + """docker rm --force --volumes vectorizer""", + shell=True, + check=True, + env=os.environ, + text=True, + ) + + +def run() -> None: + docker_build() + docker_run() + cmd = "docker exec pgai make build-install" + subprocess.run(cmd, shell=True, check=True, env=os.environ, cwd=root_dir()) + cmd = 'docker exec -u postgres pgai psql -c "create extension ai cascade"' + subprocess.run(cmd, shell=True, check=True, env=os.environ, cwd=root_dir()) + cmd = "docker exec -it -d -w /pgai/tests pgai fastapi dev server.py" + subprocess.run(cmd, shell=True, check=True, env=os.environ, cwd=root_dir()) + + +if __name__ == "__main__": + if len(sys.argv) <= 1 or "help" in sys.argv[1:]: + print(HELP) + sys.exit(0) + for action in sys.argv[1:]: + if action == "install": + install() + elif action == "build": + build() + elif action == "build-install": + build_install() + elif action == "install-prior-py": + install_prior_py() + elif action == "install-py": + install_py() + elif action == "install-vec": + install_vectorizer() + elif action == "install-sql": + install_sql() + elif action == "build-sql": + build_sql() + elif action == "clean-sql": + clean_sql() + elif action == "clean-py": + clean_py() + elif action == "clean-vec": + clean_vectorizer() + elif action == "clean": + clean() + elif action == "uninstall-py": + uninstall_py() + elif action == "uninstall-vec": + uninstall_vectorizer() + elif action == "uninstall-sql": + uninstall_sql() + elif action == "uninstall": + uninstall() + elif action == "test-server": + test_server() + elif action == "vectorizer": + vectorizer() + elif action == "test": + test() + elif action == "lint-sql": + lint_sql() + elif action == "lint-py": + lint_py() + elif action == "lint": + lint() + elif action == "format-py": + format_py() + elif action == "docker-build": + docker_build() + elif action == "docker-build-vec": + docker_build_vectorizer() + elif action == "docker-run": + docker_run() + elif action == "docker-run-vec": + docker_run_vectorizer() + elif action == "docker-stop": + docker_stop() + elif action == "docker-stop-vec": + docker_stop_vectorizer() + elif action == "docker-rm": + docker_rm() + elif action == "docker-rm-vec": + docker_rm_vectorizer() + elif action == "run": + run() + else: + print(f"{action} is not a valid action", file=sys.stderr) + sys.exit(1) diff --git a/compose-init.sql b/compose-init.sql new file mode 100644 index 000000000..9147d6afa --- /dev/null +++ b/compose-init.sql @@ -0,0 +1,26 @@ +create extension if not exists ai cascade; + +create schema website; +create table website.blog +( id int not null generated always as identity +, title text not null +, published timestamptz +, body text not null +, primary key (title, published) +); +insert into website.blog(title, published, body) +values + ('how to cook a hot dog', '2024-01-06'::timestamptz, 'put it on a hot grill') +, ('how to make a sandwich', '2023-01-06'::timestamptz, 'put a slice of meat between two pieces of bread') +, ('how to make stir fry', '2022-01-06'::timestamptz, 'pick up the phone and order takeout') +; + +-- create a vectorizer +select ai.create_vectorizer +( 'website.blog'::regclass +, embedding=>ai.embedding_openai('text-embedding-3-small', 1536) +, chunking=>ai.chunking_recursive_character_text_splitter('body') +, formatting=>ai.formatting_python_template('title: $title published: $published $chunk') +, scheduling=>ai.scheduling_none() +, indexing=>ai.indexing_none() +) as vectorizer_id diff --git a/compose.yaml b/compose.yaml new file mode 100644 index 000000000..52b4708a1 --- /dev/null +++ b/compose.yaml @@ -0,0 +1,30 @@ +services: + db: + build: + context: . + args: + PG_MAJOR: "16" + ports: + - "5432:5432" + healthcheck: + test: ["CMD", "pg_isready", "-U", "postgres"] + interval: 10s + timeout: 10s + retries: 3 + start_period: 10s + start_interval: 10s + environment: + POSTGRES_USER: postgres + POSTGRES_PASSWORD: postgres + POSTGRES_DB: postgres + volumes: + - ./compose-init.sql:/docker-entrypoint-initdb.d/init.sql + vectorizer: + build: projects/pgai + environment: + OPENAI_API_KEY: ${OPENAI_API_KEY} + VECTORIZER_DB_URL: "postgresql://postgres:postgres@db:5432/postgres" + VECTORIZER_LOG_LEVEL: DEBUG + depends_on: + db: + condition: service_healthy diff --git a/docs/anthropic.md b/docs/anthropic.md index 7ae67df07..37d5cddac 100644 --- a/docs/anthropic.md +++ b/docs/anthropic.md @@ -40,7 +40,7 @@ to run your AI queries: `ai.anthropic_api_key` is set for the duration of your psql session, you do not need to specify it for pgai functions. ```sql - select anthropic_generate + select ai.anthropic_generate ( 'claude-3-5-sonnet-20240620' , jsonb_build_array ( jsonb_build_object @@ -73,7 +73,7 @@ to run your AI queries: 4. Pass your API key to your parameterized query: ```sql - SELECT anthropic_generate + SELECT ai.anthropic_generate ( 'claude-3-5-sonnet-20240620' , jsonb_build_array ( jsonb_build_object @@ -126,7 +126,7 @@ to run your AI queries: with conn.cursor() as cur: # pass the API key as a parameter to the query. don't use string manipulations cur.execute(""" - SELECT anthropic_generate + SELECT ai.anthropic_generate ( 'claude-3-5-sonnet-20240620' , %s , _api_key=>%s @@ -155,7 +155,7 @@ This section shows you how to use AI directly from your database using SQL. select jsonb_extract_path_text ( - anthropic_generate + ai.anthropic_generate ( 'claude-3-5-sonnet-20240620' , jsonb_build_array ( jsonb_build_object diff --git a/docs/cohere.md b/docs/cohere.md index 40a66d7a1..fcbfdeceb 100644 --- a/docs/cohere.md +++ b/docs/cohere.md @@ -40,7 +40,7 @@ to run your AI queries: `ai.cohere_api_key` is set for the duration of your psql session, you do not need to specify it for pgai functions. ```sql - SELECT cohere_chat_complete + SELECT ai.cohere_chat_complete ( 'command-r-plus' , 'How much wood would a woodchuck chuck if a woodchuck could chuck wood?' , _seed=>42 @@ -70,7 +70,7 @@ to run your AI queries: 4. Pass your API key to your parameterized query: ```sql - SELECT cohere_chat_complete + SELECT ai.cohere_chat_complete ( 'command-r-plus' , 'How much wood would a woodchuck chuck if a woodchuck could chuck wood?' , _api_key=>$1 @@ -116,7 +116,7 @@ to run your AI queries: with conn.cursor() as cur: # pass the API key as a parameter to the query. don't use string manipulations cur.execute(""" - SELECT cohere_chat_complete + SELECT ai.cohere_chat_complete ( 'command-r-plus' , 'How much wood would a woodchuck chuck if a woodchuck could chuck wood?' , _api_key=>%s @@ -148,7 +148,7 @@ This section shows you how to use AI directly from your database using SQL. ```sql select * - from cohere_list_models() + from ai.cohere_list_models() ; ``` @@ -182,7 +182,7 @@ This section shows you how to use AI directly from your database using SQL. ```sql select * - from cohere_list_models(_endpoint=>'embed') + from ai.cohere_list_models(_endpoint=>'embed') ; ``` @@ -205,7 +205,7 @@ This section shows you how to use AI directly from your database using SQL. ```sql select * - from cohere_list_models(_endpoint=>'generate', _default_only=>true); + from ai.cohere_list_models(_endpoint=>'generate', _default_only=>true); ``` Results @@ -222,7 +222,7 @@ This section shows you how to use AI directly from your database using SQL. Tokenize text content. ```sql -select cohere_tokenize +select ai.cohere_tokenize ( 'command' , 'One of the best programming skills you can have is knowing when to walk away for awhile.' ); @@ -242,7 +242,7 @@ Results: Reverse the tokenize process. ```sql -select cohere_detokenize +select ai.cohere_detokenize ( 'command' , array[14485,38374,2630,2060,2252,5164,4905,21,2744,2628,1675,3094,23407,21] ); @@ -262,7 +262,7 @@ Results: Embed content. ```sql -select cohere_embed +select ai.cohere_embed ( 'embed-english-light-v3.0' , 'if a woodchuck could chuck wood, a woodchuck would chuck as much wood as he could' , _input_type=>'search_document' @@ -296,7 +296,7 @@ with examples(example, label) as select * from jsonb_to_recordset ( - cohere_classify + ai.cohere_classify ( 'embed-english-light-v3.0' , array['bird', 'airplane', 'corn'] --inputs we want to classify , _examples=>(select jsonb_agg(jsonb_build_object('text', examples.example, 'label', examples.label)) from examples) @@ -332,7 +332,7 @@ with examples(example, label) as , ('broccoli', 'food') ) select * -from cohere_classify_simple +from ai.cohere_classify_simple ( 'embed-english-light-v3.0' , array['bird', 'airplane', 'corn'] , _examples=>(select jsonb_agg(jsonb_build_object('text', examples.example, 'label', examples.label)) from examples) @@ -362,7 +362,7 @@ select , x.relevance_score from jsonb_to_recordset ( - cohere_rerank + ai.cohere_rerank ( 'rerank-english-v3.0' , 'How long does it take for two programmers to work on something?' , jsonb_build_array @@ -396,7 +396,7 @@ A simpler interface to rerank. ```sql select * -from cohere_rerank_simple +from ai.cohere_rerank_simple ( 'rerank-english-v3.0' , 'How long does it take for two programmers to work on something?' , jsonb_build_array @@ -427,7 +427,7 @@ Results: Complete chat prompts ```sql -select cohere_chat_complete +select ai.cohere_chat_complete ( 'command-r-plus' , 'How much wood would a woodchuck chuck if a woodchuck could chuck wood?' , _seed=>42 diff --git a/docs/delayed_embed.md b/docs/delayed_embed.md index a99c0936f..9519ea860 100644 --- a/docs/delayed_embed.md +++ b/docs/delayed_embed.md @@ -92,7 +92,7 @@ BEGIN api_key := config->>'api_key'; FOR r IN select id, contents from document_embedding where embedding IS NULL LIMIT 1 FOR UPDATE SKIP LOCKED LOOP update document_embedding - set embedding = openai_embed('text-embedding-ada-002', r.contents, api_key) + set embedding = ai.openai_embed('text-embedding-ada-002', r.contents, api_key) SELECT id where id = r.id; END LOOP; diff --git a/docs/moderate.md b/docs/moderate.md index 17d2b753b..42316e146 100644 --- a/docs/moderate.md +++ b/docs/moderate.md @@ -69,7 +69,7 @@ CREATE OR REPLACE FUNCTION moderate_comment() RETURNS TRIGGER AS $$ declare out jsonb; BEGIN - select openai_moderate( + select ai.openai_moderate( 'text-moderation-stable', NEW.body, _api_key=>current_setting('ai.openai_api_key', false) -- fail if setting not available @@ -133,7 +133,7 @@ BEGIN select current_setting('ai.openai_api_key', false) into api_key; -- Call OpenAI moderation endpoint - select openai_moderate( 'text-moderation-stable', + select ai.openai_moderate( 'text-moderation-stable', body, _api_key => api_key)->'results'->0 into result; diff --git a/docs/ollama.md b/docs/ollama.md index ec7185895..9d9e14eed 100644 --- a/docs/ollama.md +++ b/docs/ollama.md @@ -18,7 +18,7 @@ You set the network for your Ollama configuration either: * Explicitly with the `_host` parameter: ```sql - select ollama_generate + select ai.ollama_generate ( 'llama3' , 'what is the typical weather like in Alabama in June' , _host=>'http://host.for.ollama:port' -- tells pgai that Ollama is running on the host when pgai is in a docker container @@ -43,7 +43,7 @@ running pgai, the ollama host address is `http://host.docker.internal:11434`. This section shows you how to use AI directly from your database using SQL. -- [List_models](#list-models): list the models supported by OpenAI functions in pgai. +- [List_models](#list-models): list the models supported by Ollama functions in pgai. - [Embed](#embed): generate [embeddings](https://platform.openai.com/docs/guides/embeddings) using a specified model. - [Chat_complete](#chat-complete): generate text or complete a chat. @@ -56,7 +56,7 @@ List the models supported by your AI provider in pgai: ```sql SELECT * -FROM ollama_list_models() +FROM ai.ollama_list_models() ORDER BY size DESC ; ``` @@ -76,7 +76,7 @@ your Ollama instance: Generate [embeddings](https://github.com/ollama/ollama/blob/main/docs/api.md#generate-embeddings) using a specified model: ```sql -select ollama_embed +select ai.ollama_embed ( 'llama3' , 'the purple elephant sits on a red mushroom' ); @@ -104,7 +104,7 @@ You specify custom parameters to the LLM using optional `_options` argument: \pset format unaligned select jsonb_pretty( - ollama_chat_complete + ai.ollama_chat_complete ( 'llama3' , jsonb_build_array ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') @@ -147,7 +147,7 @@ to manipulate the jsonb object returned from `ollama_chat_complete`: \pset tuples_only on \pset format unaligned -select ollama_chat_complete +select ai.ollama_chat_complete ( 'llama3' , jsonb_build_array ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') @@ -194,7 +194,7 @@ In summary, a large language model is a powerful AI tool capable of processing a \pset tuples_only on \pset format unaligned -select ollama_generate +select ai.ollama_generate ( 'llava:7b' , 'Please describe this image.' , _images=> array[pg_read_binary_file('/pgai/tests/postgresql-vs-pinecone.jpg')] @@ -223,7 +223,7 @@ You [list the models currently running in Ollama](https://github.com/ollama/olla ```sql select * -from ollama_ps() +from ai.ollama_ps() ; ``` diff --git a/docs/openai.md b/docs/openai.md index a592cd2b3..fbf55f8ef 100644 --- a/docs/openai.md +++ b/docs/openai.md @@ -42,7 +42,7 @@ to run your AI queries: ```sql SELECT * - FROM openai_list_models() + FROM ai.openai_list_models() ORDER BY created DESC ; ``` @@ -70,7 +70,7 @@ to run your AI queries: 4. Pass your API key to your parameterized query: ```sql SELECT * - FROM openai_list_models(_api_key=>$1) + FROM ai.openai_list_models(_api_key=>$1) ORDER BY created DESC \bind :openai_api_key \g @@ -111,7 +111,7 @@ to run your AI queries: with psycopg2.connect(DB_URL) as conn: with conn.cursor() as cur: # pass the API key as a parameter to the query. don't use string manipulations - cur.execute("SELECT * FROM openai_list_models(_api_key=>%s) ORDER BY created DESC", (OPENAI_API_KEY,)) + cur.execute("SELECT * FROM ai.openai_list_models(_api_key=>%s) ORDER BY created DESC", (OPENAI_API_KEY,)) records = cur.fetchall() ``` @@ -136,7 +136,7 @@ List the models supported by your AI provider in pgai: ```sql SELECT * - FROM openai_list_models() + FROM ai.openai_list_models() ORDER BY created DESC ; ``` @@ -161,7 +161,7 @@ To encode content and count the number of tokens returned: * Encode content into an array of tokens: ```sql - SELECT openai_tokenize + SELECT ai.openai_tokenize ( 'text-embedding-ada-002' , 'Timescale is Postgres made Powerful' ); @@ -178,7 +178,7 @@ To encode content and count the number of tokens returned: ```sql SELECT array_length - ( openai_tokenize + ( ai.openai_tokenize ( 'text-embedding-ada-002' , 'Timescale is Postgres made Powerful' ) @@ -198,7 +198,7 @@ To encode content and count the number of tokens returned: Turn tokenized content into natural language: ```sql -SELECT openai_detokenize('text-embedding-ada-002', array[1820,25977,46840,23874,389,264,2579,58466]); +SELECT ai.openai_detokenize('text-embedding-ada-002', array[1820,25977,46840,23874,389,264,2579,58466]); ``` The data returned looks like: @@ -216,7 +216,7 @@ Generate [embeddings](https://platform.openai.com/docs/guides/embeddings) using - Request an embedding using a specific model: ```sql - SELECT openai_embed + SELECT ai.openai_embed ( 'text-embedding-ada-002' , 'the purple elephant sits on a red mushroom' ); @@ -234,7 +234,7 @@ Generate [embeddings](https://platform.openai.com/docs/guides/embeddings) using - Specify the number of dimensions you want in the returned embedding: ```sql - SELECT openai_embed + SELECT ai.openai_embed ( 'text-embedding-ada-002' , 'the purple elephant sits on a red mushroom' , _dimensions=>768 @@ -245,7 +245,7 @@ Generate [embeddings](https://platform.openai.com/docs/guides/embeddings) using - Pass a user identifier: ```sql - SELECT openai_embed + SELECT ai.openai_embed ( 'text-embedding-ada-002' , 'the purple elephant sits on a red mushroom' , _user=>'bac1aaf7-4460-42d3-bba5-2957b057f4a5' @@ -255,7 +255,7 @@ Generate [embeddings](https://platform.openai.com/docs/guides/embeddings) using - Pass an array of text inputs: ```sql - SELECT openai_embed + SELECT ai.openai_embed ( 'text-embedding-ada-002' , array['Timescale is Postgres made Powerful', 'the purple elephant sits on a red mushroom'] ); @@ -264,7 +264,7 @@ Generate [embeddings](https://platform.openai.com/docs/guides/embeddings) using - Provide tokenized input: ```sql - select openai_embed + select ai.openai_embed ( 'text-embedding-ada-002' , array[1820,25977,46840,23874,389,264,2579,58466] ); @@ -285,7 +285,7 @@ Generate text or complete a chat: SELECT jsonb_pretty ( - openai_chat_complete + ai.openai_chat_complete ( 'gpt-4o' , jsonb_build_array ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') @@ -333,7 +333,7 @@ Generate text or complete a chat: \pset tuples_only on \pset format unaligned - select openai_chat_complete + select ai.openai_chat_complete ( 'gpt-4o' , jsonb_build_array ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') @@ -371,7 +371,7 @@ Check if content is classified as potentially harmful: select jsonb_pretty ( - openai_moderate + ai.openai_moderate ( 'text-moderation-stable' , 'I want to kill them.' ) @@ -491,7 +491,7 @@ create table commit_history_embed insert into commit_history_embed (id, embedding) select id -, openai_embed +, ai.openai_embed ( 'text-embedding-3-small' -- create a single text string representation of the commit , format('author: %s date: %s commit: %s summary: %s detail: %s', author, "date", "commit", summary, detail) @@ -529,7 +529,7 @@ from id , detail -- call the openai api using the pgai extension. the result is jsonb - , openai_moderate('text-moderation-stable', detail) as moderation + , ai.openai_moderate('text-moderation-stable', detail) as moderation from commit_history ) x where (x.moderation->'results'->0->>'flagged')::bool -- only the ones that were flagged @@ -552,7 +552,7 @@ uses jsonb operators to pull out the content of the [response](https://platform. \pset format unaligned -- summarize and categorize git commits to produce a release notes document -select openai_chat_complete +select ai.openai_chat_complete ( 'gpt-4o' , jsonb_build_array ( jsonb_build_object diff --git a/docs/privileges.md b/docs/privileges.md new file mode 100644 index 000000000..0d6175ddb --- /dev/null +++ b/docs/privileges.md @@ -0,0 +1,103 @@ + +The ai.grant_ai_usage function is an important security and access control tool +in the pgai extension. Its primary purpose is to grant the necessary permissions +for a specified user or role to use the pgai functionality effectively and +safely. This function simplifies the process of setting up appropriate access +rights, ensuring that users can interact with the AI features without +compromising database security. + +Purpose: +1. Grant appropriate permissions to a specified user or role for using pgai features. +2. Provide a streamlined way to manage access control for the AI functionality. +3. Allow for different levels of access (regular usage vs. administrative access). + +Usage: +```sql +SELECT ai.grant_ai_usage(to_user name, admin bool DEFAULT false) +``` + +Parameters: +1. to_user: The name of the user or role to whom permissions will be granted. +2. admin: A boolean flag indicating whether to grant administrative privileges (default is false). + +The function doesn't return a value, but it performs several grant operations. + +Key actions performed by ai.grant_ai_usage: + +1. Grants permissions on the 'ai' schema. +2. Grants permissions on tables, sequences, and views within the 'ai' schema. +3. Grants execute permissions on functions and procedures in the 'ai' schema. +4. If admin is true, grants more extensive permissions, including the ability to grant permissions to others. + +Examples: + +1. Granting regular usage permissions: +```sql +SELECT ai.grant_ai_usage('analyst_role'); +``` +This grants basic usage permissions to the 'analyst_role'. + +2. Granting administrative permissions: +```sql +SELECT ai.grant_ai_usage('ai_admin_role', admin => true); +``` +This grants administrative permissions to the 'ai_admin_role'. + +Key points about ai.grant_ai_usage: + +1. Regular usage (admin = false): + - Grants USAGE and CREATE on the 'ai' schema. + - Grants SELECT, INSERT, UPDATE, DELETE on tables. + - Grants USAGE, SELECT, UPDATE on sequences. + - Grants SELECT on views. + - Grants EXECUTE on functions and procedures. + +2. Administrative usage (admin = true): + - Grants ALL PRIVILEGES on the 'ai' schema, tables, sequences, views, functions, and procedures. + - Includes WITH GRANT OPTION, allowing the admin to grant permissions to others. + +3. The function is designed to be idempotent, meaning it can be run multiple times without causing issues. + +4. It automatically handles the different types of database objects (tables, views, functions, etc.) without requiring separate grant statements for each. + +5. The function is security definer, meaning it runs with the privileges of its owner (typically a superuser), allowing it to grant permissions that the calling user might not directly have. + +Use cases: + +1. Setting up a new analyst: +```sql +CREATE ROLE new_analyst; +SELECT ai.grant_ai_usage('new_analyst'); +``` + +2. Promoting a user to an AI administrator: +```sql +SELECT ai.grant_ai_usage('experienced_user', admin => true); +``` + +3. Ensuring all members of a role have appropriate access: +```sql +SELECT ai.grant_ai_usage('data_science_team'); +``` + +4. Granting temporary admin access for maintenance: +```sql +CREATE ROLE temp_admin; +SELECT ai.grant_ai_usage('temp_admin', admin => true); +-- After maintenance +DROP ROLE temp_admin; +``` + +Best practices: + +1. Use this function instead of manually granting permissions to ensure consistency and completeness of access rights. +2. Be cautious with granting admin privileges, as this gives extensive control over the pgai functionality. +3. Regularly review who has been granted access, especially admin access, as part of security audits. +4. Consider creating roles for different levels of pgai usage and granting permissions to these roles rather than individual users. + +The ai.grant_ai_usage function is a crucial tool for managing access to pgai +features. It ensures that users have the permissions they need to work with AI +functionality in the database while maintaining security and control over these +powerful features. By providing a simple interface for granting permissions, it +helps database administrators manage access effectively and reduce the risk of +misconfiguration. diff --git a/docs/vectorizer.md b/docs/vectorizer.md new file mode 100644 index 000000000..090e37b5c --- /dev/null +++ b/docs/vectorizer.md @@ -0,0 +1,983 @@ + +# Vectorizers + +A vectorizer provides users with a powerful and automated way to generate and +manage LLM embeddings for their PostgreSQL data. Here's a summary of what users +gain from this feature: + +1. Automated Embedding Generation: Users can create a vectorizer for a specified + table, which automatically generates embeddings for the data in that table. + +2. Configurable Embedding Process: The vectorizer is highly configurable, + allowing users to specify: + - The embedding model and dimensions (e.g., OpenAI's text-embedding-3-small) + - Chunking strategies for text data + - Formatting templates for combining multiple fields + - Indexing options for efficient similarity searches + - Scheduling for background processing + +3. Integration with Multiple AI Providers: The vectorizer supports different + embedding providers, initially including OpenAI, with more planned for the + future. + +5. Automatic Updates: The vectorizer creates triggers on the source table, + ensuring that embeddings are automatically updated when the source data + changes. + +6. Efficient Storage and Retrieval: Embeddings are stored in a separate table + with appropriate indexing, optimizing for vector similarity searches. + +7. Background Processing: The vectorizer can be scheduled to run as a background + job, minimizing impact on regular database operations. + +8. View Creation: A view is automatically created to join the original data with + its embeddings, making it easy to query and use the embedded data. + +9. Scalability: The vectorizer includes options for batch processing and + concurrency control, allowing it to handle large datasets efficiently. + +10. Fine-grained Access Control: Users can specify which roles should have + access to the vectorizer and its related objects. + +11. Monitoring and Management: The extension provides functions to monitor the + vectorizer's queue, enable/disable scheduling, and manage the vectorizer + lifecycle. + +This feature significantly simplifies the process of incorporating AI-powered +semantic search and analysis capabilities into existing PostgreSQL databases, +making it easier for users to leverage the power of LLMs in their data +workflows. + +Initially, vectorizers only work on the Timescale cloud platform, however +support for self-hosted installations will be added quickly. + + +## Creating vectorizers + +The `ai.create_vectorizer` function is a key component of the pgai extension's +vectorizer feature. Its purpose is to set up and configure an automated system +for generating and managing embeddings for a specified table in the database. +Here's an explanation of its purpose and usage: + +Purpose: +1. Automate the process of creating embeddings for table data +2. Set up necessary infrastructure (tables, views, triggers) for embedding management +3. Configure the embedding generation process according to user specifications +4. Integrate with AI providers for embedding creation +5. Set up scheduling for background processing of embeddings + +Usage: +The function takes several parameters to customize the vectorizer: + +1. source: The source table (as a regclass) for which embeddings will be generated. +2. embedding: Configuration for the embedding process, using `ai.embedding_openai()` to specify the model and dimensions. +3. chunking: Configuration for how to split text data, using functions like `ai.chunking_character_text_splitter()`. +4. indexing: Specifies how to index the embeddings, e.g., `ai.indexing_diskann()` or `ai.indexing_hnsw()`. +5. formatting: Defines how to format the data before embedding, using `ai.formatting_python_template()`. +6. scheduling: Sets up when and how often to run the vectorizer, e.g., `ai.scheduling_timescaledb()`. +7. processing: Configures how to process the embeddings, like `ai.processing_cloud_functions()`. +8. target_schema, target_table, view_schema, view_name: Optional parameters to specify where to store embeddings and create views. +9. queue_schema, queue_table: Optional parameters for the queue used in background processing. +10. grant_to: An array of role names to grant permissions to. +11. enqueue_existing: Boolean to determine if existing rows should be immediately queued for embedding. + +Example usage: +```sql +SELECT ai.create_vectorizer( + 'website.blog'::regclass, + embedding => ai.embedding_openai('text-embedding-3-small', 768), + chunking => ai.chunking_character_text_splitter('body', 128, 10), + formatting => ai.formatting_python_template('title: $title published: $published $chunk'), + scheduling => ai.scheduling_timescaledb( + interval '5m', + initial_start => '2050-01-06'::timestamptz, + timezone => 'America/Chicago' + ), + grant_to => array['bob', 'alice'] +); +``` + +This function call would: +1. Set up a vectorizer for the 'website.blog' table +2. Use OpenAI's text-embedding-3-small model to create 768-dimensional embeddings +3. Chunk the 'body' column into 128-character pieces with 10-character overlap +4. Format each chunk with title and published date +5. Schedule the vectorizer to run every 5 minutes starting from a future date +6. Grant necessary permissions to roles 'bob' and 'alice' + +The function returns an integer identifier for the created vectorizer, which can +be used in other management functions. + +By using `ai.create_vectorizer`, users can quickly set up a sophisticated +embedding system tailored to their specific needs, without having to manually +create and manage all the necessary database objects and processes. + +## Chunking configuration + +The chunking configuration functions in the pgai extension serve the important +purpose of defining how text data should be split into smaller, manageable +pieces before being processed for embeddings. This is crucial because many +embedding models have input size limitations, and chunking allows for processing +of larger text documents while maintaining context. + +There are two main chunking functions provided: + +1. ai.chunking_character_text_splitter +2. ai.chunking_recursive_character_text_splitter + +Let's examine each of these: + +1. ai.chunking_character_text_splitter: + +Purpose: +- Split text into chunks based on a specified separator +- Control the size of chunks and amount of overlap between chunks + +Usage: +```sql +SELECT ai.chunking_character_text_splitter( + chunk_column name, + chunk_size int DEFAULT 800, + chunk_overlap int DEFAULT 400, + separator text DEFAULT E'\n\n', + is_separator_regex bool DEFAULT false +) +``` + +Parameters: +- chunk_column: The name of the column containing the text to be chunked +- chunk_size: Maximum number of characters per chunk +- chunk_overlap: Number of characters to overlap between chunks +- separator: The string or character used to split the text +- is_separator_regex: Whether the separator is a regular expression + +Example: +```sql +SELECT ai.chunking_character_text_splitter('body', 128, 10, E'\n;') +``` +This would split the 'body' column into chunks of 128 characters, with 10 +character overlap, using '\n;' as the separator. + +2. ai.chunking_recursive_character_text_splitter: + +Purpose: +- Recursively split text into chunks using multiple separators +- Provides more fine-grained control over the chunking process + +Usage: +```sql +SELECT ai.chunking_recursive_character_text_splitter( + chunk_column name, + chunk_size int DEFAULT 800, + chunk_overlap int DEFAULT 400, + separators text[] DEFAULT array[E'\n\n', E'\n', '.', '?', '!', ' ', ''], + is_separator_regex bool DEFAULT false +) +``` + +Parameters: +- chunk_column, chunk_size, chunk_overlap, is_separator_regex: Same as above +- separators: An array of separators to use, applied in order + +Example: +```sql +SELECT ai.chunking_recursive_character_text_splitter( + 'content', + 256, + 20, + separators => array[E'\n;', ' '] +) +``` +This would recursively split the 'content' column into chunks of 256 characters, +with 20 character overlap, first trying to split on '\n;', then on spaces. + +The key difference between these functions is that the recursive version allows +for a more sophisticated splitting strategy, potentially preserving more +semantic meaning in the chunks. + +Both of these functions return a JSON configuration object that can be used in +the `ai.create_vectorizer` function: + +```sql +SELECT ai.create_vectorizer( + 'my_table'::regclass, + chunking => ai.chunking_character_text_splitter('body', 128, 10), + -- other parameters... +); +``` + +By using these chunking functions, users can fine-tune how their text data is +prepared for embedding, ensuring that the chunks are appropriately sized and +maintain necessary context for their specific use case. This is particularly +important for maintaining the quality and relevance of the generated embeddings, +especially when dealing with long-form content or documents with specific +structural elements. + +## Embedding configuration + +The `ai.embedding_openai` function is a configuration function within the pgai +extension that specifies settings for using OpenAI's embedding models. Its +purpose is to create a standardized configuration object that can be used by +other pgai functions, particularly `ai.create_vectorizer`, to set up embedding +generation using OpenAI's API. + +Purpose: +1. Define which OpenAI embedding model to use +2. Specify the dimensionality of the embeddings +3. Configure optional parameters like the user identifier for API calls +4. Set the name of the environment variable that contains the OpenAI API key + +Usage: +The function takes several parameters to customize the OpenAI embedding +configuration: + +1. model (text, required): Specifies the name of the OpenAI embedding model to use, e.g., 'text-embedding-3-small'. +2. dimensions (int, required): Defines the number of dimensions for the embedding vectors. This should match the output dimensions of the chosen model. +3. chat_user (text, optional): An identifier for the user making the API call. This can be useful for tracking API usage or for OpenAI's monitoring purposes. +4. api_key_name (text, optional, default 'OPENAI_API_KEY'): The name of the environment variable that contains the OpenAI API key. This allows for flexible API key management without hardcoding keys in the database. + +Example usage: + +```sql +SELECT ai.embedding_openai( + 'text-embedding-3-small', + 768, + chat_user => 'bob', + api_key_name => 'MY_OPENAI_API_KEY' +); +``` + +This function call would return a JSON configuration object that looks something like this: + +```json +{ + "implementation": "openai", + "config_type": "embedding", + "model": "text-embedding-3-small", + "dimensions": 768, + "user": "bob", + "api_key_name": "MY_OPENAI_API_KEY" +} +``` + +This configuration object is typically used as an argument to ai.create_vectorizer: + +```sql +SELECT ai.create_vectorizer( + 'my_table'::regclass, + embedding => ai.embedding_openai('text-embedding-3-small', 768), + -- other parameters... +); +``` + +By using `ai.embedding_openai`, users can easily specify which OpenAI model they +want to use for generating embeddings, ensure the correct dimensionality is set, +and configure API access details. This function encapsulates the OpenAI-specific +configuration, making it easier to switch between different embedding providers +or models in the future by using a different configuration function. + +The function also provides a layer of abstraction, allowing the pgai extension +to handle the details of interacting with the OpenAI API based on this +configuration, simplifying the process for users who may not be familiar with +the specifics of the OpenAI API. + +## Formatting configuration + +The `ai.formatting_python_template` function in the pgai extension is used to +configure how data from the source table should be formatted before being sent +for embedding. Its primary purpose is to allow users to combine multiple fields +or add context to the text that will be embedded, which can significantly +enhance the quality and usefulness of the resulting embeddings. + +Purpose: +1. Define a template for formatting the data before embedding +2. Allow combination of multiple fields from the source table +3. Add consistent context or structure to the text being embedded +4. Customize the input for the embedding model to improve relevance and searchability + +Usage: +The function takes a single parameter: + +```sql +SELECT ai.formatting_python_template(template text DEFAULT '$chunk') +``` + +Parameter: +- template: A string that defines how the data should be formatted. It uses +- Python's string formatting syntax with $-prefixed variables. + +The function returns a JSON configuration object that can be used in the +`ai.create_vectorizer` function. + +Key points about the template: +1. The $chunk placeholder is required and represents the text chunk that will be embedded. +2. Other placeholders can be used to reference columns from the source table. +3. The template allows for adding static text or structuring the input in a specific way. + +Examples: + +1. Basic usage (default): +```sql +SELECT ai.formatting_python_template() +``` +This uses the default template '$chunk', which simply uses the chunked text as-is. + +2. Adding context from other columns: +```sql +SELECT ai.formatting_python_template('Title: $title\nDate: $published\nContent: $chunk') +``` +This template adds the title and publication date to each chunk, providing more context for the embedding. + +3. Combining multiple fields: +```sql +SELECT ai.formatting_python_template('Author: $author\nCategory: $category\n$chunk') +``` +This template prepends author and category information to each chunk. + +4. Adding consistent structure: +```sql +SELECT ai.formatting_python_template('BEGIN DOCUMENT\n$chunk\nEND DOCUMENT') +``` +This adds start and end markers to each chunk, which could be useful for certain +types of embeddings or retrieval tasks. + +Example usage within ai.create_vectorizer: + +```sql +SELECT ai.create_vectorizer( + 'blog_posts'::regclass, + embedding => ai.embedding_openai('text-embedding-3-small', 768), + chunking => ai.chunking_character_text_splitter('content', 1000, 100), + formatting => ai.formatting_python_template('Title: $title\nAuthor: $author\nDate: $published\nContent: $chunk'), + -- other parameters... +); +``` + +In this example, each chunk of the 'content' column will be formatted with the +title, author, and publication date before being sent for embedding. This can +make the embeddings more informative and improve the accuracy of similarity +searches or other downstream tasks. + +The `ai.formatting_python_template` function provides a flexible way to +structure the input for embedding models, allowing users to incorporate relevant +metadata or add consistent formatting to their text data. This can significantly +enhance the quality and usefulness of the generated embeddings, especially in +scenarios where context from multiple fields is important for understanding or +searching the content. + +## Indexing configuration + +The indexing configuration functions in the pgai extension are designed to +specify how the generated embeddings should be indexed for efficient similarity +searches. These functions allow users to choose and configure the indexing +method that best suits their needs in terms of performance, accuracy, and +resource usage. Let's examine each of these functions: + +1. ai.indexing_none + +Purpose: +- Specify that no special indexing should be used for the embeddings. +- Useful when you don't need fast similarity searches or when you're dealing + with a small amount of data. + +Usage: +```sql +SELECT ai.indexing_none() +``` + +This function takes no parameters and simply returns a configuration object +indicating that no indexing should be used. + +2. ai.indexing_diskann + +Purpose: +- Configure indexing using the DiskANN algorithm, which is designed for high-performance approximate nearest neighbor search on large-scale datasets. +- Suitable for very large datasets that need to be stored on disk. + +Usage: +```sql +SELECT ai.indexing_diskann( + min_rows int DEFAULT 100000, + storage_layout text DEFAULT null, + num_neighbors int DEFAULT null, + search_list_size int DEFAULT null, + max_alpha float8 DEFAULT null, + num_dimensions int DEFAULT null, + num_bits_per_dimension int DEFAULT null +) +``` + +Parameters: +- min_rows: Minimum number of rows before creating the index +- storage_layout: Can be 'memory_optimized' or 'plain' +- num_neighbors, search_list_size, max_alpha, num_dimensions, num_bits_per_dimension: Advanced DiskANN parameters + +Example: +```sql +SELECT ai.indexing_diskann(min_rows => 500000, storage_layout => 'memory_optimized') +``` + +3. ai.indexing_hnsw + +Purpose: +- Configure indexing using the Hierarchical Navigable Small World (HNSW) algorithm, which is known for fast and accurate approximate nearest neighbor search. +- Suitable for in-memory datasets and scenarios where query speed is crucial. + +Usage: +```sql +SELECT ai.indexing_hnsw( + min_rows int DEFAULT 100000, + opclass text DEFAULT 'vector_cosine_ops', + m int DEFAULT null, + ef_construction int DEFAULT null +) +``` + +Parameters: +- min_rows: Minimum number of rows before creating the index +- opclass: The operator class for the index ('vector_cosine_ops', 'vector_l2_ops', or 'vector_ip_ops') +- m, ef_construction: Advanced HNSW parameters + +Example: +```sql +SELECT ai.indexing_hnsw(min_rows => 50000, opclass => 'vector_l2_ops') +``` + +Usage in ai.create_vectorizer: + +These indexing configuration functions are typically used as arguments to the +`ai.create_vectorizer` function: + +```sql +SELECT ai.create_vectorizer( + 'my_embeddings'::regclass, + embedding => ai.embedding_openai('text-embedding-3-small', 768), + chunking => ai.chunking_character_text_splitter('text_column'), + indexing => ai.indexing_hnsw(min_rows => 10000), + -- other parameters... +); +``` + +Key points about indexing: + +1. The choice of indexing method depends on your dataset size, query performance requirements, and available resources. + +2. DiskANN is generally better for very large datasets that don't fit in memory, while HNSW is often faster for in-memory datasets. + +3. The 'min_rows' parameter allows you to delay index creation until you have enough data to justify the overhead. + +4. No index (ai.indexing_none) might be suitable for small datasets or when you're more concerned with insertion speed than query speed. + +5. These indexing methods are designed for approximate nearest neighbor search, which trades a small amount of accuracy for significant speed improvements in similarity searches. + +By providing these indexing options, pgai allows users to optimize their +embedding storage and retrieval based on their specific use case and performance +requirements. This flexibility is crucial for scaling AI-powered search and +analysis capabilities within a PostgreSQL database. + +## Scheduling configuration + +The scheduling functions in the pgai extension are designed to configure when +and how often the vectorizer should run to process new or updated data. These +functions allow users to set up automated, periodic execution of the embedding +generation process. Let's examine each of these functions: + +1. ai.scheduling_none + +Purpose: +- Specify that no automatic scheduling should be set up for the vectorizer. +- Useful when you want to manually control when the vectorizer runs or when you're using an external scheduling system. + +Usage: +```sql +SELECT ai.scheduling_none() +``` + +This function takes no parameters and simply returns a configuration object +indicating that no scheduling should be used. + +2. ai.scheduling_timescaledb + +Purpose: +- Configure automated scheduling using TimescaleDB's job scheduling system. +- Allow periodic execution of the vectorizer to process new or updated data. +- Provide fine-grained control over when and how often the vectorizer runs. + +Usage: +```sql +SELECT ai.scheduling_timescaledb( + schedule_interval interval DEFAULT interval '10m', + initial_start timestamptz DEFAULT null, + fixed_schedule bool DEFAULT null, + timezone text DEFAULT null +) +``` + +Parameters: +- schedule_interval: How often the vectorizer should run (default is every 10 minutes) +- initial_start: When the first run should occur (optional) +- fixed_schedule: Whether to use a fixed schedule (true) or a sliding window (false) +- timezone: The timezone for the schedule (optional) + +Examples: + +1. Basic usage (run every 10 minutes): +```sql +SELECT ai.scheduling_timescaledb() +``` + +2. Custom interval (run every hour): +```sql +SELECT ai.scheduling_timescaledb(interval '1 hour') +``` + +3. Specific start time and timezone: +```sql +SELECT ai.scheduling_timescaledb( + interval '30 minutes', + initial_start => '2023-12-01 00:00:00'::timestamptz, + timezone => 'America/New_York' +) +``` + +4. Fixed schedule: +```sql +SELECT ai.scheduling_timescaledb( + interval '1 day', + fixed_schedule => true, + timezone => 'UTC' +) +``` + +Usage in `ai.create_vectorizer`: + +These scheduling configuration functions are typically used as arguments to the +`ai.create_vectorizer` function: + +```sql +SELECT ai.create_vectorizer( + 'my_table'::regclass, + embedding => ai.embedding_openai('text-embedding-3-small', 768), + chunking => ai.chunking_character_text_splitter('text_column'), + scheduling => ai.scheduling_timescaledb(interval '15 minutes'), + -- other parameters... +); +``` + +Key points about scheduling: + +1. ai.scheduling_none is useful when you want manual control over when the vectorizer runs. + +2. ai.scheduling_timescaledb leverages TimescaleDB's robust job scheduling system, which is designed for reliability and scalability. + +3. The schedule_interval determines how frequently the vectorizer checks for new or updated data to process. + +4. The initial_start parameter allows you to delay the start of scheduling, which can be useful for coordinating with other system processes or maintenance windows. + +5. The fixed_schedule option determines whether the job runs at fixed times (e.g., every day at midnight) or on a sliding window (e.g., every 24 hours from the last run). + +6. The timezone parameter ensures that schedules are interpreted correctly, especially important for fixed schedules or when coordinating with business hours. + +By providing these scheduling options, pgai allows users to automate the process +of keeping their embeddings up-to-date with minimal manual intervention. This is +crucial for maintaining the relevance and accuracy of AI-powered search and +analysis capabilities, especially in systems where data is frequently updated or +added. The flexibility in scheduling also allows users to balance the freshness +of embeddings against system resource usage and other operational +considerations. + +## Enabling/Disabling vectorizer schedules + +The `ai.enable_vectorizer_schedule` and `ai.disable_vectorizer_schedule` +functions are management tools in the pgai extension that allow users to control +the execution of scheduled vectorizer jobs. These functions provide a way to +temporarily pause or resume the automatic processing of embeddings without +having to delete or recreate the vectorizer configuration. Let's examine each of +these functions: + +1. ai.enable_vectorizer_schedule + +Purpose: +- Activate or reactivate the scheduled job for a specific vectorizer. +- Allow the vectorizer to resume automatic processing of new or updated data. + +Usage: +```sql +SELECT ai.enable_vectorizer_schedule(vectorizer_id int) +``` + +Parameter: +- vectorizer_id: The identifier of the vectorizer whose schedule you want to enable. + +2. ai.disable_vectorizer_schedule + +Purpose: +- Deactivate the scheduled job for a specific vectorizer. +- Temporarily stop the automatic processing of new or updated data. + +Usage: +```sql +SELECT ai.disable_vectorizer_schedule(vectorizer_id int) +``` + +Parameter: +- vectorizer_id: The identifier of the vectorizer whose schedule you want to disable. + +Example usage: + +1. Disabling a vectorizer schedule: +```sql +SELECT ai.disable_vectorizer_schedule(1); +``` +This would stop the automatic scheduling for the vectorizer with ID 1. + +2. Enabling a vectorizer schedule: +```sql +SELECT ai.enable_vectorizer_schedule(1); +``` +This would resume the automatic scheduling for the vectorizer with ID 1. + +Key points about these functions: + +1. They provide fine-grained control over individual vectorizer schedules without affecting other vectorizers or the overall system configuration. + +2. Disabling a schedule does not delete the vectorizer or its configuration; it simply stops the automatic execution of the job. + +3. These functions are particularly useful in scenarios such as: + - System maintenance windows where you want to reduce database load + - Temporarily pausing processing during data migrations or large bulk updates + - Debugging or troubleshooting issues related to the vectorizer + - Implementing manual control over when embeddings are updated + +4. When a schedule is disabled, new or updated data will not be automatically processed. However, the data will still be queued, and will be processed when the schedule is re-enabled or when the vectorizer is manually run. + +5. These functions only affect vectorizers that use scheduled processing (i.e., those configured with ai.scheduling_timescaledb). Vectorizers configured with ai.scheduling_none are not affected. + +6. After re-enabling a schedule, the next run will occur based on the original scheduling configuration (e.g., if it was set to run every hour, it will run at the next hour mark after being enabled). + +Usage example in a maintenance scenario: + +```sql +-- Before starting system maintenance +SELECT ai.disable_vectorizer_schedule(1); +SELECT ai.disable_vectorizer_schedule(2); + +-- Perform maintenance tasks... + +-- After maintenance is complete +SELECT ai.enable_vectorizer_schedule(1); +SELECT ai.enable_vectorizer_schedule(2); +``` + +These functions provide an important layer of operational control for managing +pgai vectorizers in production environments. They allow database administrators +and application developers to balance the need for up-to-date embeddings with +other system priorities and constraints, enhancing the overall flexibility and +manageability of the pgai extension. + +## Processing configuration + +The processing configuration functions in the pgai extension are used to specify +how the vectorizer should process data when generating embeddings. These +functions allow users to choose between different processing strategies, +balancing factors like performance, scalability, and infrastructure +requirements. Let's examine each of these functions: + +1. ai.processing_none + +Purpose: +- Indicate that no special processing configuration is needed. +- Use the default in-database processing for generating embeddings. + +Usage: +```sql +SELECT ai.processing_none() +``` + +This function takes no parameters and returns a configuration object indicating +that default processing should be used. + +2. ai.processing_cloud_functions + +Purpose: +- Configure the vectorizer to use cloud functions for processing embeddings. +- Enable distributed and scalable processing of embeddings outside the database. +- Allow for potential performance improvements and reduced load on the database server. + +Usage: +```sql +SELECT ai.processing_cloud_functions( + batch_size int DEFAULT null, + concurrency int DEFAULT null +) +``` + +Parameters: +- batch_size: The number of items to process in each batch (optional, default determined by the system) +- concurrency: The number of concurrent processing tasks to run (optional, default determined by the system) + +Examples: + +1. Basic usage (use system defaults): +```sql +SELECT ai.processing_cloud_functions() +``` + +2. Specifying batch size: +```sql +SELECT ai.processing_cloud_functions(batch_size => 100) +``` + +3. Specifying both batch size and concurrency: +```sql +SELECT ai.processing_cloud_functions(batch_size => 50, concurrency => 5) +``` + +Usage in `ai.create_vectorizer`: + +These processing configuration functions are used as arguments to the +`ai.create_vectorizer` function: + +```sql +SELECT ai.create_vectorizer( + 'my_table'::regclass, + embedding => ai.embedding_openai('text-embedding-3-small', 768), + chunking => ai.chunking_character_text_splitter('text_column'), + processing => ai.processing_cloud_functions(batch_size => 200), + -- other parameters... +); +``` + +Key points about these processing functions: + +1. ai.processing_none: + - Uses the default in-database processing. + - Suitable for smaller datasets or when you want to keep all processing within the database. + - Simpler setup as it doesn't require additional infrastructure. + +2. ai.processing_cloud_functions: + - Enables distributed processing using cloud functions. + - Can improve performance and scalability, especially for large datasets. + - Reduces load on the database server by offloading embedding generation. + - Requires additional setup and infrastructure for cloud functions. + - Allows for fine-tuning of batch size and concurrency to optimize performance. + +3. The batch_size parameter in ai.processing_cloud_functions: + - Controls how many items are processed in each cloud function invocation. + - Larger batch sizes can improve efficiency but may increase memory usage. + - The optimal batch size depends on your data and cloud function configuration. + +4. The concurrency parameter in ai.processing_cloud_functions: + - Determines how many cloud functions can run simultaneously. + - Higher concurrency can speed up processing but may increase costs and resource usage. + - The optimal concurrency depends on your cloud infrastructure and rate limits. + +5. When using ai.processing_cloud_functions, you need to ensure that: + - Your cloud functions are properly set up and configured. + - The database can communicate with the cloud function service. + - You have considered security implications of sending data to cloud functions. + +By providing these processing options, pgai allows users to choose the most appropriate strategy for their specific use case, infrastructure, and performance requirements. The ai.processing_none option offers simplicity and keeps everything within the database, while ai.processing_cloud_functions provides a way to scale out the embedding generation process for larger datasets or higher throughput requirements. + +## Dropping a vectorizer + +The ai.drop_vectorizer function is a management tool in the pgai extension +designed to remove a previously created vectorizer and clean up associated +resources. Its primary purpose is to provide a controlled way to delete a +vectorizer when it's no longer needed or when you want to reconfigure it from +scratch. + +Purpose: +1. Remove a specific vectorizer configuration from the system. +2. Clean up associated database objects and scheduled jobs. +3. Provide a safe way to undo the creation of a vectorizer. + +Usage: +```sql +SELECT ai.drop_vectorizer(vectorizer_id int) +``` + +Parameter: +- vectorizer_id: The identifier of the vectorizer you want to drop. + +This function doesn't return a value, but it performs several cleanup operations. + +Key actions performed by ai.drop_vectorizer: + +1. Deletes the scheduled job associated with the vectorizer (if any). +2. Drops the trigger from the source table that was used to queue changes. +3. Drops the trigger function that backed the source table trigger. +4. Drops the queue table used for managing updates to be processed. +5. Deletes the vectorizer row from the ai.vectorizer table. + +Important notes: + +1. It does NOT drop the target table containing the embeddings. +2. It does NOT drop the view joining the target and source tables. + +This design allows you to keep the generated embeddings and the convenient view +even after dropping the vectorizer, which can be useful if you want to stop +automatic updates but still use the existing embeddings. + +Example usage: + +```sql +-- Assuming we have a vectorizer with ID 1 +SELECT ai.drop_vectorizer(1); +``` + +This would remove the vectorizer with ID 1 and clean up its associated resources. + +Typical scenarios for using ai.drop_vectorizer: + +1. Reconfiguration: When you want to significantly change the configuration of a vectorizer, it's often easier to drop the old one and create a new one. + +```sql +-- Drop the old vectorizer +SELECT ai.drop_vectorizer(old_vectorizer_id); + +-- Create a new vectorizer with different configuration +SELECT ai.create_vectorizer( + 'my_table'::regclass, + embedding => ai.embedding_openai('text-embedding-3-large', 1536), -- Using a different model + chunking => ai.chunking_character_text_splitter('content', 256, 20), -- Different chunking + -- other parameters... +); +``` + +2. Cleanup: When a table or feature is no longer needed, you can remove its associated vectorizer. + +3. Troubleshooting: If you're experiencing issues with a vectorizer, sometimes it's helpful to drop it and recreate it. + +4. Resource management: If you need to free up resources (like scheduled job slots), you might drop vectorizers that are no longer actively used. + +Best practices: + +1. Before dropping a vectorizer, ensure that you won't need the automatic embedding updates it provides. +2. If you want to preserve the embeddings, make sure to backup or rename the target table before dropping the vectorizer, especially if you plan to create a new vectorizer with the same name. +3. After dropping a vectorizer, you may want to manually clean up the target table and view if they're no longer needed. +4. Keep track of your vectorizer IDs, possibly by querying the ai.vectorizer table, to ensure you're dropping the correct one. + +The ai.drop_vectorizer function provides a clean way to remove vectorizers from +your system, allowing for easy management and reconfiguration of your +AI-enhanced database setup. It's an important tool for maintaining and evolving +your pgai-powered applications over time. + +## Viewing vectorizer status + +The ai.vectorizer_status view and the ai.vectorizer_queue_pending function are +monitoring tools in the pgai extension that provide insights into the state and +performance of vectorizers. Let's examine each of these: + +1. ai.vectorizer_status view + +Purpose: +- Provide a high-level overview of all vectorizers in the system +- Display key information about each vectorizer's configuration and current state +- Offer a quick way to check the status of pending items for each vectorizer + +Usage: +```sql +SELECT * FROM ai.vectorizer_status; +``` + +Columns: +- id: The unique identifier of the vectorizer +- source_table: The fully qualified name of the source table +- target_table: The fully qualified name of the table storing the embeddings +- view: The fully qualified name of the view joining source and target tables +- pending_items: The number of items waiting to be processed by the vectorizer + +Example: +```sql +SELECT * FROM ai.vectorizer_status WHERE pending_items > 0; +``` +This query would show all vectorizers that have items waiting to be processed. + +2. ai.vectorizer_queue_pending function + +Purpose: +- Provide a detailed count of pending items for a specific vectorizer +- Allow for more granular monitoring of individual vectorizer queues + +Usage: +```sql +SELECT ai.vectorizer_queue_pending(vectorizer_id int) RETURNS bigint +``` + +Parameter: +- vectorizer_id: The identifier of the vectorizer you want to check + +Returns: +- The number of items in the queue for the specified vectorizer + +Example: +```sql +SELECT ai.vectorizer_queue_pending(1); +``` +This would return the number of pending items for the vectorizer with ID 1. + +Key points about these monitoring tools: + +1. The ai.vectorizer_status view: + - Provides a comprehensive overview of all vectorizers in one query + - Useful for regular monitoring and health checks of the entire system + - The pending_items column gives a quick indication of processing backlogs + +2. The ai.vectorizer_queue_pending function: + - Offers more detailed information about a specific vectorizer's queue + - Useful when you need to focus on a particular vectorizer or troubleshoot issues + +3. These tools can be used together for effective monitoring: + ```sql + -- First, get an overview of all vectorizers + SELECT * FROM ai.vectorizer_status; + + -- Then, if you see a vectorizer with many pending items, you can investigate further + SELECT ai.vectorizer_queue_pending(vectorizer_id_with_many_pending_items); + ``` + +4. The pending items count can help you: + - Identify bottlenecks in processing + - Determine if you need to adjust scheduling or processing configurations + - Monitor the impact of large data imports or updates on your vectorizers + +5. Regular monitoring using these tools can help ensure that your vectorizers are keeping up with data changes and that embeddings remain up-to-date. + +Use cases: + +1. System health monitoring: + ```sql + -- Alert if any vectorizer has more than 1000 pending items + SELECT id, source_table, pending_items + FROM ai.vectorizer_status + WHERE pending_items > 1000; + ``` + +2. Performance tuning: + ```sql + -- Check if recent configuration changes have reduced the backlog + SELECT ai.vectorizer_queue_pending(vectorizer_id); + -- Run this query before and after configuration changes to compare + ``` + +3. Operational reporting: + ```sql + -- Get a daily summary of vectorizer performance + SELECT + id, + source_table, + pending_items, + CASE + WHEN pending_items = 0 THEN 'Up to date' + WHEN pending_items < 100 THEN 'Minor backlog' + WHEN pending_items < 1000 THEN 'Moderate backlog' + ELSE 'Significant backlog' + END AS status + FROM ai.vectorizer_status; + ``` + +These monitoring tools are crucial for maintaining the health and performance of +your pgai-enhanced database. They allow you to proactively manage your +vectorizers, ensure timely processing of embeddings, and quickly identify and +address any issues that may arise in your AI-powered data pipelines. diff --git a/examples/bg_worker_moderate.sql b/examples/bg_worker_moderate.sql index 6e1d48475..0b893fd2d 100644 --- a/examples/bg_worker_moderate.sql +++ b/examples/bg_worker_moderate.sql @@ -16,7 +16,7 @@ DECLARE category TEXT; BEGIN -- Call OpenAI moderation endpoint - select openai_moderate( 'text-moderation-stable', body, api_key)->'results'->0 into result; + select ai.openai_moderate( 'text-moderation-stable', body, api_key)->'results'->0 into result; -- Check if any category is flagged IF result->>'flagged' = 'true' THEN diff --git a/examples/delayed_embed.sql b/examples/delayed_embed.sql index 5f446d170..fbd9c5ea6 100644 --- a/examples/delayed_embed.sql +++ b/examples/delayed_embed.sql @@ -32,7 +32,7 @@ begin api_key := config->>'api_key'; for r in select id, contents from document_embedding where embedding is null limit 1 for update skip locked loop update document_embedding - set embedding = openai_embed('text-embedding-ada-002', r.contents, api_key) + set embedding = ai.openai_embed('text-embedding-ada-002', r.contents, api_key) where id = r.id; end loop; end; diff --git a/examples/rag_report_demo_why_some_customers_donot_like_pizza.sql b/examples/rag_report_demo_why_some_customers_donot_like_pizza.sql new file mode 100644 index 000000000..db6cc61ef --- /dev/null +++ b/examples/rag_report_demo_why_some_customers_donot_like_pizza.sql @@ -0,0 +1,207 @@ + +---------------------------------------------------------------------------------- +-- This sql is the script of blog of Improving Customer Satisfaction in Pizza Shops With RAG: A Pgai Case Study +-- https://www.timescale.com/blog/improving-customer-satisfaction + +---------------------------------------------------------------------------------- +-- The demo of AI RAG by generate a why customer don't like pizza report. +-- The input is 3 records of customer comments to pizza food +-- the output is ai result table with 3 columns:send_message, chat_completion, final_report +-- the final report columns are markdown formatted business analysis report to why customer don't like pizza + +-- the process/tools: + --- vector database: pgai container for run an store the input, output data + --- ai model service: openai 'gpt-4o-mini','text-embedding-3-small' + --- the RAG concept of the process + + +---------------------------------------------------------------------------------- +-- Step 1. Preconfig & Check environment +---------------------------------------------------------------------------------- +-- clean the history test table +DROP TABLE IF EXISTS PUBLIC.pizza_reviews CASCADE; -- CUSTOMER FEEDBACK STORED HERE +DROP TABLE IF EXISTS PUBLIC.pizza_reviews_embeddings CASCADE; -- CUSTOMER FEEDBACK EMBEDDED +DROP TABLE IF EXISTS PUBLIC.ai_report CASCADE; -- THE AI GENERATED BUSINESS REPORT + +CREATE EXTENSION IF NOT EXISTS ai CASCADE; + +-- use openai-4o-mini and text-embedding-3-small models for demo purpose. You can use local ollama based on business case +-- make sure the model connection and availability +-- temporary set the api_key +set ai.openai_api_key = 'replace you api key here or use pgai default api_key environment'; +select pg_catalog.current_setting('ai.openai_api_key', true) as api_key; + + +---------------------------------------------------------------------------------- +---- step 2 create customer feedback data table and insert the demo data. +---------------------------------------------------------------------------------- + +--- the original customer feedback message to food +CREATE TABLE public.pizza_reviews ( +id bigserial NOT NULL, +product text NOT NULL, +customer_message text NULL, +text_length INTEGER GENERATED ALWAYS AS (LENGTH(customer_message)) stored, +CONSTRAINT pizza_reviews_pkey PRIMARY KEY (id) +); + +--- insert data of pizza_reviews +INSERT INTO public.pizza_reviews (product,customer_message) VALUES + ('pizza','The best pizza I''ve ever eaten. The sauce was so tangy!'), + ('pizza','The pizza was disgusting. I think the pepperoni was made from rats.'), + ('pizza','I ordered a hot-dog and was given a pizza, but I ate it anyway.'), + ('pizza','I hate pineapple on pizza. It is a disgrace. Somehow, it worked well on this izza though.'), + ('pizza','I ate 11 slices and threw up. The pizza was tasty in both directions.'); + +-- the data of embedding result +CREATE TABLE public.pizza_reviews_embeddings ( +id bigserial NOT NULL, +text_id text NOT NULL, +text_content text NOT NULL, -- it is same as pizza_reviews +model_name text NOT NULL, +ntoken int4 NULL, +nlength int4 NULL, +embedding public.vector(1536) NOT NULL, +CONSTRAINT pizza_reviews_embeddings_pkey PRIMARY KEY (id) +); + + +-- the ai report for store final customer satisfaction report build by ai. +CREATE TABLE public.ai_report ( + send_message text NULL, + chat_completion jsonb NULL, + final_report text NULL, + create_time timestamptz NULL +); + +---------------------------------------------------------------------------------- +-- step 3. Convert the original customer message to food into vector +---------------------------------------------------------------------------------- +-- get embedding result and insert into the embedding table +with tmp as ( +select + tt.id, tt.customer_message, + 'text-embedding-3-small'::text as model_name, + openai_embed('text-embedding-3-small',customer_message) as embedding +from + pizza_reviews as tt +) +insert into pizza_reviews_embeddings + (text_id, text_content, model_name, embedding ) + select + id, customer_message, model_name, embedding + from + tmp; + +--- create index for query speed optimization. It is optional for small data demo +CREATE INDEX ON pizza_reviews_embeddings USING ivfflat (embedding vector_cosine_ops) WITH (lists='5'); + + +---------------------------------------------------------------------------------- +-- step 4. Using AI chat_completion and Database to fast answer busines Question +---------------------------------------------------------------------------------- + +-- After make the history data into vector table, the new business question could be answered via RAG mod +-- RAG mean convert question to vector and compare it to history data which vectored, find the most similar record. +--- and send to chat_completion for generate business insight report. +--- show the top3 relevant customer message to business question. +with +business_question as ( + select question + from + (values + ('why customer do not like our pizza?') + )as t(question) +) +, embedding_question as ( + select + question, openai_embed('text-embedding-3-small',question) as embedding + from + business_question +) +select + eqt.question, + emt.text_content , + emt.embedding <-> eqt.embedding as similarity +from pizza_reviews_embeddings emt cross join embedding_question eqt +order by emt.embedding <-> eqt.embedding +limit 3; +-- note +-- in demo case, limit 3 is used as criteria of select history data, +-- in real business, the criteria value should be choice with business needs. + + +---------------------------------------------------------------------------------- +-- step 5. Final step, let's generate a nice business report based on above finding by chat_completion +---------------------------------------------------------------------------------- +-- create a build_pizza_report function to put a ai instruction in it, and call it by one sql command. +CREATE OR REPLACE FUNCTION build_pizza_report(_question text, _n_criteria smallint) +RETURNS SETOF ai_report AS +$$ +BEGIN +RETURN QUERY + +with +embedding_question as ( + select + _question as question, openai_embed('text-embedding-3-small',_question) as embedding + ), +reasons as ( + select + eqt.question, + emt.text_content , + emt.embedding <-> eqt.embedding as similarity + from pizza_reviews_embeddings emt cross join embedding_question eqt + order by + emt.embedding <-> eqt.embedding + limit _n_criteria + ) +,agg_resons as ( + select + question, jsonb_pretty(jsonb_agg(text_content)) as reasons + from reasons + group by question + ) +,report_needs as ( + select + chr(10)||'// 1. requirements: + // 1.1 generate a business report to answer user question with provided data. + // 1.2 The report should be markdown format and less than 300 words' || chr(10) as report_needs, + chr(10)||'// 2. data' || chr(10)as data_needs, + chr(10)||'// 3. user question'|| chr(10)as user_question + ) +,ai_report as ( + select + report_needs || data_needs || reasons ||user_question || question as send_message, + openai_chat_complete( + 'gpt-4o-mini', + jsonb_build_array( + jsonb_build_object( + 'role', 'user', 'content', + report_needs || data_needs || reasons ||user_question || question) + )) as chat_completion + from + agg_resons cross join report_needs + +) +select + send_message, chat_completion, + replace(chat_completion['choices'][0]['message']['content']::text,'\n',chr(10)) as final_report, + now() as create_time +--into ai_report +from ai_report; + + +END; +$$ +LANGUAGE plpgsql; + +---- call the build_pizza_report now + +insert into ai_report (send_message, chat_completion,final_report,create_time) +select + send_message, chat_completion,final_report,create_time +from + build_pizza_report('why customer dont like our pizza'::text,3::int2); +select * from ai_report ; + diff --git a/examples/trigger_moderate.sql b/examples/trigger_moderate.sql index 112cd5422..eb599bb33 100644 --- a/examples/trigger_moderate.sql +++ b/examples/trigger_moderate.sql @@ -34,7 +34,7 @@ CREATE OR REPLACE FUNCTION moderate_comment() RETURNS TRIGGER AS $$ declare out jsonb; BEGIN - select openai_moderate( + select ai.openai_moderate( 'text-moderation-stable', NEW.body )->'results'->0 into out; diff --git a/projects/extension/ai/__init__.py b/projects/extension/ai/__init__.py new file mode 100644 index 000000000..6a9beea82 --- /dev/null +++ b/projects/extension/ai/__init__.py @@ -0,0 +1 @@ +__version__ = "0.4.0" diff --git a/projects/extension/ai/anthropic.py b/projects/extension/ai/anthropic.py new file mode 100644 index 000000000..f502b3582 --- /dev/null +++ b/projects/extension/ai/anthropic.py @@ -0,0 +1,28 @@ +from typing import Optional +from anthropic import Anthropic + + +def find_api_key(plpy) -> str: + r = plpy.execute( + "select pg_catalog.current_setting('ai.anthropic_api_key', true) as api_key" + ) + if len(r) == 0: + plpy.error("missing api key") + return r[0]["api_key"] + + +def make_client( + plpy, + api_key: Optional[str] = None, + base_url: Optional[str] = None, + timeout: Optional[float] = None, + max_retries: Optional[int] = None, +) -> Anthropic: + if api_key is None: + api_key = find_api_key(plpy) + args = {} + if timeout is not None: + args["timeout"] = timeout + if max_retries is not None: + args["max_retries"] = max_retries + return Anthropic(api_key=api_key, base_url=base_url, **args) diff --git a/projects/extension/ai/cohere.py b/projects/extension/ai/cohere.py new file mode 100644 index 000000000..6b1ac18c5 --- /dev/null +++ b/projects/extension/ai/cohere.py @@ -0,0 +1,17 @@ +from typing import Optional +from cohere import Client + + +def find_api_key(plpy) -> str: + r = plpy.execute( + "select pg_catalog.current_setting('ai.cohere_api_key', true) as api_key" + ) + if len(r) == 0: + plpy.error("missing api key") + return r[0]["api_key"] + + +def make_client(plpy, api_key: Optional[str]) -> Client: + if api_key is None: + api_key = find_api_key(plpy) + return Client(api_key) diff --git a/projects/extension/ai/ollama.py b/projects/extension/ai/ollama.py new file mode 100644 index 000000000..f729292cd --- /dev/null +++ b/projects/extension/ai/ollama.py @@ -0,0 +1,19 @@ +from typing import Optional +from ollama import Client + + +def get_ollama_host(plpy) -> str: + r = plpy.execute( + "select pg_catalog.current_setting('ai.ollama_host', true) as ollama_host" + ) + if len(r) == 0: + host = "http://localhost:11434" + plpy.warning(f"defaulting Ollama host to: {host}") + return host + return r[0]["ollama_host"] + + +def make_client(plpy, host: Optional[str] = None) -> Client: + if host is None: + host = get_ollama_host(plpy) + return Client(host) diff --git a/projects/extension/ai/openai.py b/projects/extension/ai/openai.py new file mode 100644 index 000000000..191121d2a --- /dev/null +++ b/projects/extension/ai/openai.py @@ -0,0 +1,64 @@ +import openai +from datetime import datetime +from typing import Optional, Generator, Union + + +def get_openai_api_key(plpy) -> str: + r = plpy.execute( + "select pg_catalog.current_setting('ai.openai_api_key', true) as api_key" + ) + if len(r) == 0: + plpy.error("missing api key") + return r[0]["api_key"] + + +def get_openai_base_url(plpy) -> Optional[str]: + r = plpy.execute( + "select pg_catalog.current_setting('ai.openai_base_url', true) as base_url" + ) + if len(r) == 0: + return None + return r[0]["base_url"] + + +def make_client( + plpy, api_key: Optional[str] = None, base_url: Optional[str] = None +) -> openai.Client: + if api_key is None: + api_key = get_openai_api_key(plpy) + if base_url is None: + base_url = get_openai_base_url(plpy) + return openai.Client(api_key=api_key, base_url=base_url) + + +def list_models( + plpy, api_key: Optional[str] = None, base_url: Optional[str] = None +) -> Generator[tuple[str, datetime, str], None, None]: + client = make_client(plpy, api_key, base_url) + from datetime import datetime, timezone + + for model in client.models.list(): + created = datetime.fromtimestamp(model.created, timezone.utc) + yield model.id, created, model.owned_by + + +def embed( + plpy, + model: str, + input: Union[str, list[str], list[int]], + api_key: Optional[str] = None, + base_url: Optional[str] = None, + dimensions: Optional[int] = None, + user: Optional[str] = None, +) -> Generator[tuple[int, list[float]], None, None]: + client = make_client(plpy, api_key, base_url) + args = {} + if dimensions is not None: + args["dimensions"] = dimensions + if user is not None: + args["user"] = user + response = client.embeddings.create(input=input, model=model, **args) + if not hasattr(response, "data"): + return None + for obj in response.data: + yield obj.index, obj.embedding diff --git a/projects/extension/ai/vectorizer.py b/projects/extension/ai/vectorizer.py new file mode 100644 index 000000000..2d5b8d70d --- /dev/null +++ b/projects/extension/ai/vectorizer.py @@ -0,0 +1,72 @@ +import json +from urllib.parse import urljoin + +import backoff +import httpx +from backoff._typing import Details + +GUC_VECTORIZER_URL = "ai.external_functions_executor_url" +DEFAULT_VECTORIZER_URL = "http://localhost:8000" + +GUC_VECTORIZER_PATH = "ai.external_functions_executor_events_path" +DEFAULT_VECTORIZER_PATH = "/api/v1/events" + + +def get_guc_value(plpy, setting: str, default: str) -> str: + plan = plpy.prepare("select pg_catalog.current_setting($1, true) as val", ["text"]) + result = plan.execute([setting], 1) + val: str | None = None + if len(result) != 0: + val = result[0]["val"] + if val is None: + val = default + return val + + +def execute_vectorizer(plpy, vectorizer_id: int) -> None: + plan = plpy.prepare( + """ + select pg_catalog.to_jsonb(v) as vectorizer + from ai.vectorizer v + where v.id operator(pg_catalog.=) $1 + """, + ["int"], + ) + result = plan.execute([vectorizer_id], 1) + if not result: + plpy.error(f"vectorizer {vectorizer_id} not found") + + vectorizer = json.loads(result[0]["vectorizer"]) + + embedding_api_key = ( + vectorizer.get("config", {}).get("embedding", {}).get("api_key_name", None) + ) + vectorizer["secrets"] = [embedding_api_key] if embedding_api_key else [] + + the_url = urljoin( + get_guc_value(plpy, GUC_VECTORIZER_URL, DEFAULT_VECTORIZER_URL), + get_guc_value(plpy, GUC_VECTORIZER_PATH, DEFAULT_VECTORIZER_PATH), + ) + plpy.debug(f"posting execution request to {the_url}") + + def on_backoff(detail: Details): + plpy.warning( + f"{vectorizer_id} retry: {detail['tries']} elapsed: {detail['elapsed']} wait: {detail['wait']}..." + ) + + @backoff.on_exception( + backoff.expo, + httpx.HTTPError, + max_tries=10, + max_time=120, + on_backoff=on_backoff, + raise_on_giveup=True, + ) + def post() -> httpx.Response: + return httpx.post(the_url, json=vectorizer) + + r = post() + if r.status_code != httpx.codes.OK: + plpy.error( + f"failed to signal vectorizer execution: {r.status_code}", detail=r.text + ) diff --git a/requirements.txt b/projects/extension/old_requirements.txt similarity index 84% rename from requirements.txt rename to projects/extension/old_requirements.txt index 88877525f..5f8cee1f2 100644 --- a/requirements.txt +++ b/projects/extension/old_requirements.txt @@ -1,6 +1,5 @@ openai==1.30.2 tiktoken==0.7.0 -httpx==0.27.0 ollama==0.2.1 anthropic==0.29.0 cohere==5.5.8 \ No newline at end of file diff --git a/projects/extension/pyproject.toml b/projects/extension/pyproject.toml new file mode 100644 index 000000000..29af55d8e --- /dev/null +++ b/projects/extension/pyproject.toml @@ -0,0 +1,15 @@ +[build-system] +requires = ["setuptools"] +build-backend = "setuptools.build_meta" + +[project] +name = "pgai" +dynamic = ["version", "dependencies"] +requires-python = ">=3.10" + +[tool.setuptools.dynamic] +version = {attr = "ai.__version__"} +dependencies = {file = ["requirements.txt"]} + +[tool.setuptools] +packages = ["ai"] diff --git a/projects/extension/requirements.txt b/projects/extension/requirements.txt new file mode 100644 index 000000000..e679411f1 --- /dev/null +++ b/projects/extension/requirements.txt @@ -0,0 +1,6 @@ +openai==1.44.0 +tiktoken==0.7.0 +ollama==0.2.1 +anthropic==0.29.0 +cohere==5.5.8 +backoff==2.2.1 \ No newline at end of file diff --git a/projects/extension/setup.cfg b/projects/extension/setup.cfg new file mode 100644 index 000000000..9b89b5932 --- /dev/null +++ b/projects/extension/setup.cfg @@ -0,0 +1,15 @@ +[metadata] +name = pgai +version = attr: ai.__version__ + +[options] +python_requires = >=3.10 +packages = ai +# unfortunately, we cannot refer to the requirements.txt file with python 3.10 +install_requires = + openai==1.44.0 + tiktoken==0.7.0 + ollama==0.2.1 + anthropic==0.29.0 + cohere==5.5.8 + backoff==2.2.1 diff --git a/ai--0.1.0--0.2.0.sql b/projects/extension/sql/ai--0.1.0--0.2.0.sql similarity index 100% rename from ai--0.1.0--0.2.0.sql rename to projects/extension/sql/ai--0.1.0--0.2.0.sql diff --git a/ai--0.1.0.sql b/projects/extension/sql/ai--0.1.0.sql similarity index 100% rename from ai--0.1.0.sql rename to projects/extension/sql/ai--0.1.0.sql diff --git a/ai--0.2.0--0.3.0.sql b/projects/extension/sql/ai--0.2.0--0.3.0.sql similarity index 100% rename from ai--0.2.0--0.3.0.sql rename to projects/extension/sql/ai--0.2.0--0.3.0.sql diff --git a/projects/extension/sql/ai--0.4.0.sql b/projects/extension/sql/ai--0.4.0.sql new file mode 100644 index 000000000..8232e247d --- /dev/null +++ b/projects/extension/sql/ai--0.4.0.sql @@ -0,0 +1,3259 @@ +-------------------------------------------------------------------------------- +-- 0.4.0 + + + +set local search_path = pg_catalog, pg_temp; + +/* +make sure that the user doing the install/upgrade is the same user who owns the +schema and migration table. abort the upgrade if different. +*/ +do $bootstrap_extension$ +declare + _current_user_id oid = null; + _schema_owner_id oid = null; + _migration_table_owner_id oid = null; +begin + select pg_catalog.to_regrole('@extowner@')::oid + into strict _current_user_id; + + select pg_namespace.nspowner into strict _schema_owner_id + from pg_catalog.pg_namespace + where pg_namespace.nspname operator(pg_catalog.=) 'ai'; + + if _schema_owner_id is null then + -- this should NEVER happen + -- we have `schema=ai` in the control file, so postgres creates the schema automatically + -- but this line makes pgspot happy + create schema ai; + elseif _schema_owner_id operator(pg_catalog.!=) _current_user_id then + raise exception 'only the owner of the ai schema may install/upgrade this extension'; + return; + end if; + + select k.relowner into _migration_table_owner_id + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace = n.oid) + where k.relname operator(pg_catalog.=) 'migration' + and n.nspname operator(pg_catalog.=) 'ai'; + + if _migration_table_owner_id is not null + and _migration_table_owner_id is distinct from _current_user_id then + raise exception 'only the owner of the ai.migration table can install/upgrade this extension'; + return; + end if; + + if _migration_table_owner_id is null then + create table ai.migration + ( "name" text not null primary key + , applied_at_version text not null + , applied_at timestamptz not null default pg_catalog.clock_timestamp() + , body text not null + ); + end if; +end; +$bootstrap_extension$; + + + + +------------------------------------------------------------------------------- +-- 001-vectorizer.sql +do $outer_migration_block$ /*001-vectorizer.sql*/ +declare + _sql text; + _migration record; + _migration_name text = $migration_name$001-vectorizer.sql$migration_name$; + _migration_body text = +$migration_body$ + +create table ai.vectorizer +( id int not null primary key generated by default as identity +, source_schema name not null +, source_table name not null +, source_pk jsonb not null +, target_schema name not null +, target_table name not null +, view_schema name not null +, view_name name not null +, trigger_name name not null +, queue_schema name +, queue_table name +, config jsonb not null +, unique (target_schema, target_table) +); +perform pg_catalog.pg_extension_config_dump('ai.vectorizer'::pg_catalog.regclass, ''); +perform pg_catalog.pg_extension_config_dump('ai.vectorizer_id_seq'::pg_catalog.regclass, ''); + +create table ai.vectorizer_errors +( id int not null references ai.vectorizer (id) on delete cascade +, message text +, details jsonb +, recorded timestamptz not null default now() +); +create index on ai.vectorizer_errors (id, recorded); +perform pg_catalog.pg_extension_config_dump('ai.vectorizer'::pg_catalog.regclass, ''); + + +$migration_body$; +begin + select * into _migration from ai.migration where "name" operator(pg_catalog.=) _migration_name; + if _migration is not null then + raise notice 'migration %s already applied. skipping.', _migration_name; + if _migration.body operator(pg_catalog.!=) _migration_body then + raise warning 'the contents of migration "%s" have changed', _migration_name; + end if; + return; + end if; + _sql = pg_catalog.format(E'do /*%s*/ $migration_body$\nbegin\n%s\nend;\n$migration_body$;', _migration_name, _migration_body); + execute _sql; + insert into ai.migration ("name", body, applied_at_version) + values (_migration_name, _migration_body, $version$0.4.0$version$); +end; +$outer_migration_block$; + + +-------------------------------------------------------------------------------- +-- 001-openai.sql + +------------------------------------------------------------------------------- +-- openai_tokenize +-- encode text as tokens for a given model +-- https://github.com/openai/tiktoken/blob/main/README.md +create or replace function ai.openai_tokenize(_model text, _text text) returns int[] +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import tiktoken + encoding = tiktoken.encoding_for_model(_model) + tokens = encoding.encode(_text) + return tokens +$python$ +language plpython3u strict immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_detokenize +-- decode tokens for a given model back into text +-- https://github.com/openai/tiktoken/blob/main/README.md +create or replace function ai.openai_detokenize(_model text, _tokens int[]) returns text +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import tiktoken + encoding = tiktoken.encoding_for_model(_model) + content = encoding.decode(_tokens) + return content +$python$ +language plpython3u strict immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_list_models +-- list models supported on the openai platform +-- https://platform.openai.com/docs/api-reference/models/list +create or replace function ai.openai_list_models(_api_key text default null, _base_url text default null) +returns table +( id text +, created timestamptz +, owned_by text +) +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.openai + for tup in ai.openai.list_models(plpy, _api_key, _base_url): + yield tup +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_embed +-- generate an embedding from a text value +-- https://platform.openai.com/docs/api-reference/embeddings/create +create or replace function ai.openai_embed +( _model text +, _input text +, _api_key text default null +, _base_url text default null +, _dimensions int default null +, _user text default null +) returns @extschema:vector@.vector +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.openai + for tup in ai.openai.embed(plpy, _model, _input, api_key=_api_key, base_url=_base_url, dimensions=_dimensions, user=_user): + return tup[1] +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_embed +-- generate embeddings from an array of text values +-- https://platform.openai.com/docs/api-reference/embeddings/create +create or replace function ai.openai_embed +( _model text +, _input text[] +, _api_key text default null +, _base_url text default null +, _dimensions int default null +, _user text default null +) returns table +( "index" int +, embedding @extschema:vector@.vector +) +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.openai + for tup in ai.openai.embed(plpy, _model, _input, api_key=_api_key, base_url=_base_url, dimensions=_dimensions, user=_user): + yield tup +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_embed +-- generate embeddings from an array of tokens +-- https://platform.openai.com/docs/api-reference/embeddings/create +create or replace function ai.openai_embed +( _model text +, _input int[] +, _api_key text default null +, _base_url text default null +, _dimensions int default null +, _user text default null +) returns @extschema:vector@.vector +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.openai + for tup in ai.openai.embed(plpy, _model, _input, api_key=_api_key, base_url=_base_url, dimensions=_dimensions, user=_user): + return tup[1] +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_chat_complete +-- text generation / chat completion +-- https://platform.openai.com/docs/api-reference/chat/create +create or replace function ai.openai_chat_complete +( _model text +, _messages jsonb +, _api_key text default null +, _base_url text default null +, _frequency_penalty float8 default null +, _logit_bias jsonb default null +, _logprobs boolean default null +, _top_logprobs int default null +, _max_tokens int default null +, _n int default null +, _presence_penalty float8 default null +, _response_format jsonb default null +, _seed int default null +, _stop text default null +, _temperature float8 default null +, _top_p float8 default null +, _tools jsonb default null +, _tool_choice jsonb default null +, _user text default null +) returns jsonb +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.openai + client = ai.openai.make_client(plpy, _api_key, _base_url) + import json + + _messages_1 = json.loads(_messages) + if not isinstance(_messages_1, list): + plpy.error("_messages is not an array") + + _logit_bias_1 = None + if _logit_bias is not None: + _logit_bias_1 = json.loads(_logit_bias) + + _response_format_1 = None + if _response_format is not None: + _response_format_1 = json.loads(_response_format) + + _tools_1 = None + if _tools is not None: + _tools_1 = json.loads(_tools) + + _tool_choice_1 = None + if _tool_choice is not None: + _tool_choice_1 = json.loads(_tool_choice) + + response = client.chat.completions.create( + model=_model + , messages=_messages_1 + , frequency_penalty=_frequency_penalty + , logit_bias=_logit_bias_1 + , logprobs=_logprobs + , top_logprobs=_top_logprobs + , max_tokens=_max_tokens + , n=_n + , presence_penalty=_presence_penalty + , response_format=_response_format_1 + , seed=_seed + , stop=_stop + , stream=False + , temperature=_temperature + , top_p=_top_p + , tools=_tools_1 + , tool_choice=_tool_choice_1 + , user=_user + ) + + return response.model_dump_json() +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------------ +-- openai_chat_complete_simple +-- simple chat completion that only requires a message and only returns the response +create or replace function ai.openai_chat_complete_simple +( _message text +, _api_key text default null +) returns text +as $$ +declare + model text := 'gpt-4o'; + messages jsonb; +begin + messages := pg_catalog.jsonb_build_array( + pg_catalog.jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant'), + pg_catalog.jsonb_build_object('role', 'user', 'content', _message) + ); + return ai.openai_chat_complete(model, messages, _api_key) + operator(pg_catalog.->)'choices' + operator(pg_catalog.->)0 + operator(pg_catalog.->)'message' + operator(pg_catalog.->>)'content'; +end; +$$ language plpgsql volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_moderate +-- classify text as potentially harmful or not +-- https://platform.openai.com/docs/api-reference/moderations/create +create or replace function ai.openai_moderate +( _model text +, _input text +, _api_key text default null +, _base_url text default null +) returns jsonb +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.openai + client = ai.openai.make_client(plpy, _api_key, _base_url) + moderation = client.moderations.create(input=_input, model=_model) + return moderation.model_dump_json() +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + + + +-------------------------------------------------------------------------------- +-- 002-ollama.sql + +------------------------------------------------------------------------------- +-- ollama_list_models +-- https://github.com/ollama/ollama/blob/main/docs/api.md#list-local-models +-- +create or replace function ai.ollama_list_models(_host text default null) +returns table +( "name" text +, model text +, size bigint +, digest text +, family text +, format text +, families jsonb +, parent_model text +, parameter_size text +, quantization_level text +, modified_at timestamptz +) +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.ollama + client = ai.ollama.make_client(plpy, _host) + import json + resp = client.list() + models = resp.get("models") + if models is None: + raise StopIteration + for m in models: + d = m.get("details") + yield ( m.get("name") + , m.get("model") + , m.get("size") + , m.get("digest") + , d.get("family") if d is not None else None + , d.get("format") if d is not None else None + , json.dumps(d.get("families")) if d is not None else None + , d.get("parent_model") if d is not None else None + , d.get("parameter_size") if d is not None else None + , d.get("quantization_level") if d is not None else None + , m.get("modified_at") + ) +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- ollama_ps +-- https://github.com/ollama/ollama/blob/main/docs/api.md#list-running-models +create or replace function ai.ollama_ps(_host text default null) +returns table +( "name" text +, model text +, size bigint +, digest text +, parent_model text +, format text +, family text +, families jsonb +, parameter_size text +, quantization_level text +, expires_at timestamptz +, size_vram bigint +) +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.ollama + client = ai.ollama.make_client(plpy, _host) + import json + resp = client.ps() + models = resp.get("models") + if models is None: + raise StopIteration + for m in models: + d = m.get("details") + yield ( m.get("name") + , m.get("model") + , m.get("size") + , m.get("digest") + , d.get("parent_model") if d is not None else None + , d.get("format") if d is not None else None + , d.get("family") if d is not None else None + , json.dumps(d.get("families")) if d is not None else None + , d.get("parameter_size") if d is not None else None + , d.get("quantization_level") if d is not None else None + , m.get("expires_at") + , m.get("size_vram") + ) +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- ollama_embed +-- https://github.com/ollama/ollama/blob/main/docs/api.md#generate-embeddings +create or replace function ai.ollama_embed +( _model text +, _input text +, _host text default null +, _keep_alive float8 default null +, _options jsonb default null +) returns @extschema:vector@.vector +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.ollama + client = ai.ollama.make_client(plpy, _host) + _options_1 = None + if _options is not None: + import json + _options_1 = {k: v for k, v in json.loads(_options).items()} + resp = client.embeddings(_model, _input, options=_options, keep_alive=_keep_alive) + return resp.get("embedding") +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- ollama_generate +-- https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-completion +create or replace function ai.ollama_generate +( _model text +, _prompt text +, _host text default null +, _images bytea[] default null +, _keep_alive float8 default null +, _options jsonb default null +, _system text default null +, _template text default null +, _context int[] default null +) returns jsonb +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.ollama + client = ai.ollama.make_client(plpy, _host) + + import json + args = {} + + if _keep_alive is not None: + args["keep_alive"] = _keep_alive + + if _options is not None: + args["options"] = {k: v for k, v in json.loads(_options).items()} + + if _system is not None: + args["system"] = _system + + if _template is not None: + args["template"] = _template + + if _context is not None: + args["context"] = _context + + _images_1 = None + if _images is not None: + import base64 + _images_1 = [] + for image in _images: + _images_1.append(base64.b64encode(image).decode('utf-8')) + args["images"] = _images_1 + + resp = client.generate(_model, _prompt, stream=False, **args) + return json.dumps(resp) +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- ollama_chat_complete +-- https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-chat-completion +create or replace function ai.ollama_chat_complete +( _model text +, _messages jsonb +, _host text default null +, _keep_alive float8 default null +, _options jsonb default null +) returns jsonb +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.ollama + client = ai.ollama.make_client(plpy, _host) + + import json + import base64 + args = {} + + if _keep_alive is not None: + args["keep_alive"] = _keep_alive + + if _options is not None: + args["options"] = {k: v for k, v in json.loads(_options).items()} + + _messages_1 = json.loads(_messages) + if not isinstance(_messages_1, list): + plpy.error("_messages is not an array") + + # the python api expects bytes objects for images + # decode the base64 encoded images into raw binary + for message in _messages_1: + if 'images' in message: + decoded = [base64.b64decode(image) for image in message["images"]] + message["images"] = decoded + + resp = client.chat(_model, _messages_1, stream=False, **args) + + return json.dumps(resp) +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + + + +-------------------------------------------------------------------------------- +-- 003-anthropic.sql + +------------------------------------------------------------------------------- +-- anthropic_generate +-- https://docs.anthropic.com/en/api/messages +create or replace function ai.anthropic_generate +( _model text +, _messages jsonb +, _max_tokens int default 1024 +, _api_key text default null +, _base_url text default null +, _timeout float8 default null +, _max_retries int default null +, _system text default null +, _user_id text default null +, _stop_sequences text[] default null +, _temperature float8 default null +, _tool_choice jsonb default null +, _tools jsonb default null +, _top_k int default null +, _top_p float8 default null +) returns jsonb +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.anthropic + client = ai.anthropic.make_client(plpy, api_key=_api_key, base_url=_base_url, timeout=_timeout, max_retries=_max_retries) + + import json + _messages_1 = json.loads(_messages) + + args = {} + if _system is not None: + args["system"] = _system + if _user_id is not None: + args["metadata"] = {"user_id", _user_id} + if _stop_sequences is not None: + args["stop_sequences"] = _stop_sequences + if _temperature is not None: + args["temperature"] = _temperature + if _tool_choice is not None: + args["tool_choice"] = json.dumps(_tool_choice) + if _tools is not None: + args["tools"] = json.dumps(_tools) + if _top_k is not None: + args["top_k"] = _top_k + if _top_p is not None: + args["top_p"] = _top_p + + message = client.messages.create(model=_model, messages=_messages_1, max_tokens=_max_tokens, **args) + return message.to_json() +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + + + +-------------------------------------------------------------------------------- +-- 004-cohere.sql + +------------------------------------------------------------------------------- +-- cohere_list_models +-- https://docs.cohere.com/reference/list-models +create or replace function ai.cohere_list_models +( _api_key text default null +, _endpoint text default null +, _default_only bool default null +) +returns table +( "name" text +, endpoints text[] +, finetuned bool +, context_length int +, tokenizer_url text +, default_endpoints text[] +) +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + args = {} + if _endpoint is not None: + args["endpoint"] = _endpoint + if _default_only is not None: + args["default_only"] = _default_only + page_token = None + while True: + resp = client.models.list(page_size=1000, page_token=page_token, **args) + for model in resp.models: + yield (model.name, model.endpoints, model.finetuned, model.context_length, model.tokenizer_url, model.default_endpoints) + page_token = resp.next_page_token + if page_token is None: + break +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_tokenize +-- https://docs.cohere.com/reference/tokenize +create or replace function ai.cohere_tokenize(_model text, _text text, _api_key text default null) returns int[] +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + response = client.tokenize(text=_text, model=_model) + return response.tokens +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_detokenize +-- https://docs.cohere.com/reference/detokenize +create or replace function ai.cohere_detokenize(_model text, _tokens int[], _api_key text default null) returns text +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + response = client.detokenize(tokens=_tokens, model=_model) + return response.text +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_embed +-- https://docs.cohere.com/reference/embed-1 +create or replace function ai.cohere_embed +( _model text +, _input text +, _api_key text default null +, _input_type text default null +, _truncate text default null +) returns @extschema:vector@.vector +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + args={} + if _input_type is not None: + args["input_type"] = _input_type + if _truncate is not None: + args["truncate"] = _truncate + response = client.embed(texts=[_input], model=_model, **args) + return response.embeddings[0] +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_classify +-- https://docs.cohere.com/reference/classify +create or replace function ai.cohere_classify +( _model text +, _inputs text[] +, _api_key text default null +, _examples jsonb default null +, _truncate text default null +) returns jsonb +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + import json + args = {} + if _examples is not None: + args["examples"] = json.loads(_examples) + if _truncate is not None: + args["truncate"] = _truncate + + response = client.classify(inputs=_inputs, model=_model, **args) + return response.json() +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_classify_simple +-- https://docs.cohere.com/reference/classify +create or replace function ai.cohere_classify_simple +( _model text +, _inputs text[] +, _api_key text default null +, _examples jsonb default null +, _truncate text default null +) returns table +( input text +, prediction text +, confidence float8 +) +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + import json + args = {} + if _examples is not None: + args["examples"] = json.loads(_examples) + if _truncate is not None: + args["truncate"] = _truncate + response = client.classify(inputs=_inputs, model=_model, **args) + for x in response.classifications: + yield x.input, x.prediction, x.confidence +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_rerank +-- https://docs.cohere.com/reference/rerank +create or replace function ai.cohere_rerank +( _model text +, _query text +, _documents jsonb +, _api_key text default null +, _top_n integer default null +, _rank_fields text[] default null +, _return_documents bool default null +, _max_chunks_per_doc int default null +) returns jsonb +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + import json + args = {} + if _top_n is not None: + args["top_n"] = _top_n + if _rank_fields is not None: + args["rank_fields"] = _rank_fields + if _return_documents is not None: + args["return_documents"] = _return_documents + if _max_chunks_per_doc is not None: + args["max_chunks_per_doc"] = _max_chunks_per_doc + _documents_1 = json.loads(_documents) + response = client.rerank(model=_model, query=_query, documents=_documents_1, **args) + return response.json() +$python$ language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_rerank_simple +-- https://docs.cohere.com/reference/rerank +create or replace function ai.cohere_rerank_simple +( _model text +, _query text +, _documents jsonb +, _api_key text default null +, _top_n integer default null +, _max_chunks_per_doc int default null +) returns table +( "index" int +, "document" jsonb +, relevance_score float8 +) +as $func$ +select * +from pg_catalog.jsonb_to_recordset +( + ai.cohere_rerank + ( _model + , _query + , _documents + , _api_key=>_api_key + , _top_n=>_top_n + , _return_documents=>true + , _max_chunks_per_doc=>_max_chunks_per_doc + ) operator(pg_catalog.->) 'results' +) x("index" int, "document" jsonb, relevance_score float8) +$func$ language sql immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_chat_complete +-- https://docs.cohere.com/reference/chat +create or replace function ai.cohere_chat_complete +( _model text +, _message text +, _api_key text default null +, _preamble text default null +, _chat_history jsonb default null +, _conversation_id text default null +, _prompt_truncation text default null +, _connectors jsonb default null +, _search_queries_only bool default null +, _documents jsonb default null +, _citation_quality text default null +, _temperature float8 default null +, _max_tokens int default null +, _max_input_tokens int default null +, _k int default null +, _p float8 default null +, _seed int default null +, _stop_sequences text[] default null +, _frequency_penalty float8 default null +, _presence_penalty float8 default null +, _tools jsonb default null +, _tool_results jsonb default null +, _force_single_step bool default null +) returns jsonb +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + import json + args = {} + if _preamble is not None: + args["preamble"] = _preamble + if _chat_history is not None: + args["chat_history"] = json.loads(_chat_history) + if _conversation_id is not None: + args["conversation_id"] = _conversation_id + if _prompt_truncation is not None: + args["prompt_truncation"] = _prompt_truncation + if _connectors is not None: + args["connectors"] = json.loads(_connectors) + if _search_queries_only is not None: + args["search_queries_only"] = _search_queries_only + if _documents is not None: + args["documents"] = json.loads(_documents) + if _citation_quality is not None: + args["citation_quality"] = _citation_quality + if _temperature is not None: + args["temperature"] = _temperature + if _max_tokens is not None: + args["max_tokens"] = _max_tokens + if _max_input_tokens is not None: + args["max_input_tokens"] = _max_input_tokens + if _k is not None: + args["k"] = _k + if _p is not None: + args["p"] = _p + if _seed is not None: + args["seed"] = _seed + if _stop_sequences is not None: + args["stop_sequences"] = _stop_sequences + if _frequency_penalty is not None: + args["frequency_penalty"] = _frequency_penalty + if _presence_penalty is not None: + args["presence_penalty"] = _presence_penalty + if _tools is not None: + args["tools"] = json.loads(_tools) + if _tool_results is not None: + args["tool_results"] = json.loads(_tool_results) + if _force_single_step is not None: + args["force_single_step"] = _force_single_step + + response = client.chat(model=_model, message=_message, **args) + return response.json() +$python$ language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + + + +-------------------------------------------------------------------------------- +-- 005-chunking.sql + +------------------------------------------------------------------------------- +-- chunking_character_text_splitter +create or replace function ai.chunking_character_text_splitter +( chunk_column name +, chunk_size int default 800 +, chunk_overlap int default 400 +, separator text default E'\n\n' +, is_separator_regex bool default false +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'character_text_splitter' + , 'config_type': 'chunking' + , 'chunk_column': chunk_column + , 'chunk_size': chunk_size + , 'chunk_overlap': chunk_overlap + , 'separator': separator + , 'is_separator_regex': is_separator_regex + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- chunking_recursive_character_text_splitter +create or replace function ai.chunking_recursive_character_text_splitter +( chunk_column name +, chunk_size int default 800 +, chunk_overlap int default 400 +, separators text[] default array[E'\n\n', E'\n', '.', '?', '!', ' ', ''] +, is_separator_regex bool default false +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'recursive_character_text_splitter' + , 'config_type': 'chunking' + , 'chunk_column': chunk_column + , 'chunk_size': chunk_size + , 'chunk_overlap': chunk_overlap + , 'separators': separators + , 'is_separator_regex': is_separator_regex + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_chunking +create or replace function ai._validate_chunking +( config jsonb +, source_schema name +, source_table name +) returns void +as $func$ +declare + _config_type text; + _implementation text; + _chunk_column text; + _found bool; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'chunking config is not a jsonb object'; + end if; + + _config_type = config operator(pg_catalog.->>) 'config_type'; + if _config_type is null or _config_type != 'chunking' then + raise exception 'invalid config_type for chunking config'; + end if; + + _implementation = config operator(pg_catalog.->>) 'implementation'; + if _implementation is null or _implementation not in ('character_text_splitter', 'recursive_character_text_splitter') then + raise exception 'invalid chunking config implementation'; + end if; + + _chunk_column = config operator(pg_catalog.->>) 'chunk_column'; + + select count(*) > 0 into strict _found + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + inner join pg_catalog.pg_attribute a on (k.oid operator(pg_catalog.=) a.attrelid) + inner join pg_catalog.pg_type y on (a.atttypid operator(pg_catalog.=) y.oid) + where n.nspname operator(pg_catalog.=) source_schema + and k.relname operator(pg_catalog.=) source_table + and a.attnum operator(pg_catalog.>) 0 + and a.attname operator(pg_catalog.=) _chunk_column + and y.typname in ('text', 'varchar', 'char', 'bpchar') + ; + if not _found then + raise exception 'chunk column in config does not exist in the table: %', _chunk_column; + end if; +end +$func$ language plpgsql stable security invoker +set search_path to pg_catalog, pg_temp +; + + + +-------------------------------------------------------------------------------- +-- 006-formatting.sql + +------------------------------------------------------------------------------- +-- formatting_python_template +create or replace function ai.formatting_python_template(template text default '$chunk') returns jsonb +as $func$ + select json_object + ( 'implementation': 'python_template' + , 'config_type': 'formatting' + , 'template': template + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_formatting_python_template +create or replace function ai._validate_formatting_python_template +( config jsonb +, source_schema name +, source_table name +) returns void +as $func$ +declare + _template text; + _found bool; +begin + select config operator(pg_catalog.->>) 'template' + into strict _template + ; + if not pg_catalog.like(_template, '%$chunk%') then + raise exception 'template must contain $chunk placeholder'; + end if; + + -- check that no columns on the source table are named "chunk" + select count(*) > 0 into strict _found + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace = n.oid) + inner join pg_catalog.pg_attribute a on (k.oid = a.attrelid) + where n.nspname operator(pg_catalog.=) source_schema + and k.relname operator(pg_catalog.=) source_table + and a.attnum operator(pg_catalog.>) 0 + and a.attname operator(pg_catalog.=) 'chunk' + ; + if _found then + raise exception 'formatting_python_template may not be used when source table has a column named "chunk"'; + end if; +end +$func$ language plpgsql stable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_formatting +create or replace function ai._validate_formatting +( config jsonb +, source_schema name +, source_table name +) returns void +as $func$ +declare + _config_type text; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'formatting config is not a jsonb object'; + end if; + + _config_type = config operator ( pg_catalog.->> ) 'config_type'; + if _config_type is null or _config_type != 'formatting' then + raise exception 'invalid config_type for formatting config'; + end if; + case config operator(pg_catalog.->>) 'implementation' + when 'python_template' then + perform ai._validate_formatting_python_template + ( config + , source_schema + , source_table + ); + else + raise exception 'unrecognized formatting implementation'; + end case; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; + + + +-------------------------------------------------------------------------------- +-- 007-scheduling.sql + +------------------------------------------------------------------------------- +-- scheduling_none +create or replace function ai.scheduling_none() returns jsonb +as $func$ + select pg_catalog.jsonb_build_object + ( 'implementation', 'none' + , 'config_type', 'scheduling' + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- scheduling_timescaledb +create or replace function ai.scheduling_timescaledb +( schedule_interval interval default interval '5m' +, initial_start timestamptz default null +, fixed_schedule bool default null +, timezone text default null +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'timescaledb' + , 'config_type': 'scheduling' + , 'schedule_interval': schedule_interval + , 'initial_start': initial_start + , 'fixed_schedule': fixed_schedule + , 'timezone': timezone + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + + +------------------------------------------------------------------------------- +-- _validate_scheduling +create or replace function ai._validate_scheduling(config jsonb) returns void +as $func$ +declare + _config_type text; + _implementation text; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'scheduling config is not a jsonb object'; + end if; + + _config_type = config operator ( pg_catalog.->> ) 'config_type'; + if _config_type is null or _config_type != 'scheduling' then + raise exception 'invalid config_type for scheduling config'; + end if; + _implementation = config operator(pg_catalog.->>) 'implementation'; + case _implementation + when 'none' then + -- ok + when 'timescaledb' then + -- ok + else + if _implementation is null then + raise exception 'scheduling implementation not specified'; + else + raise exception 'unrecognized scheduling implementation: "%"', _implementation; + end if; + end case; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; + + + +-------------------------------------------------------------------------------- +-- 008-embedding.sql + +------------------------------------------------------------------------------- +-- embedding_openai +create or replace function ai.embedding_openai +( model text +, dimensions int +, chat_user text default null +, api_key_name text default 'OPENAI_API_KEY' +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'openai' + , 'config_type': 'embedding' + , 'model': model + , 'dimensions': dimensions + , 'user': chat_user + , 'api_key_name': api_key_name + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_embedding +create or replace function ai._validate_embedding(config jsonb) returns void +as $func$ +declare + _config_type text; + _implementation text; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'embedding config is not a jsonb object'; + end if; + + _config_type = config operator ( pg_catalog.->> ) 'config_type'; + if _config_type is null or _config_type != 'embedding' then + raise exception 'invalid config_type for embedding config'; + end if; + _implementation = config operator(pg_catalog.->>) 'implementation'; + case _implementation + when 'openai' then + -- ok + else + if _implementation is null then + raise exception 'embedding implementation not specified'; + else + raise exception 'invalid embedding implementation: "%"', _implementation; + end if; + end case; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; + + + +-------------------------------------------------------------------------------- +-- 009-indexing.sql + +------------------------------------------------------------------------------- +-- indexing_none +create or replace function ai.indexing_none() returns jsonb +as $func$ + select jsonb_build_object + ( 'implementation', 'none' + , 'config_type', 'indexing' + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- indexing_diskann +create or replace function ai.indexing_diskann +( min_rows int default 100000 +, storage_layout text default null +, num_neighbors int default null +, search_list_size int default null +, max_alpha float8 default null +, num_dimensions int default null +, num_bits_per_dimension int default null +, create_when_queue_empty boolean default true +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'diskann' + , 'config_type': 'indexing' + , 'min_rows': min_rows + , 'storage_layout': storage_layout + , 'num_neighbors': num_neighbors + , 'search_list_size': search_list_size + , 'max_alpha': max_alpha + , 'num_dimensions': num_dimensions + , 'num_bits_per_dimension': num_bits_per_dimension + , 'create_when_queue_empty': create_when_queue_empty + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_indexing_diskann +create or replace function ai._validate_indexing_diskann(config jsonb) returns void +as $func$ +declare + _storage_layout text; +begin + _storage_layout = config operator(pg_catalog.->>) 'storage_layout'; + if _storage_layout is not null and not (_storage_layout operator(pg_catalog.=) any(array['memory_optimized', 'plain'])) then + raise exception 'invalid storage_layout'; + end if; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- indexing_hnsw +create or replace function ai.indexing_hnsw +( min_rows int default 100000 +, opclass text default 'vector_cosine_ops' +, m int default null +, ef_construction int default null +, create_when_queue_empty boolean default true +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'hnsw' + , 'config_type': 'indexing' + , 'min_rows': min_rows + , 'opclass': opclass + , 'm': m + , 'ef_construction': ef_construction + , 'create_when_queue_empty': create_when_queue_empty + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_indexing_hnsw +create or replace function ai._validate_indexing_hnsw(config jsonb) returns void +as $func$ +declare + _opclass text; +begin + _opclass = config operator(pg_catalog.->>) 'opclass'; + if _opclass is not null + and not (_opclass operator(pg_catalog.=) any(array['vector_ip_ops', 'vector_cosine_ops', 'vector_l1_ops'])) then + raise exception 'invalid opclass'; + end if; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_indexing +create or replace function ai._validate_indexing(config jsonb) returns void +as $func$ +declare + _config_type text; + _implementation text; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'indexing config is not a jsonb object'; + end if; + + _config_type = config operator ( pg_catalog.->> ) 'config_type'; + if _config_type is null or _config_type != 'indexing' then + raise exception 'invalid config_type for indexing config'; + end if; + _implementation = config operator(pg_catalog.->>) 'implementation'; + case _implementation + when 'none' then + -- ok + when 'diskann' then + perform ai._validate_indexing_diskann(config); + when 'hnsw' then + perform ai._validate_indexing_hnsw(config); + else + if _implementation is null then + raise exception 'indexing implementation not specified'; + else + raise exception 'invalid indexing implementation: "%"', _implementation; + end if; + end case; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; + + + + +-------------------------------------------------------------------------------- +-- 010-processing.sql + +------------------------------------------------------------------------------- +-- processing_default +create or replace function ai.processing_default +( batch_size int default null +, concurrency int default null +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'default' + , 'config_type': 'processing' + , 'batch_size': batch_size + , 'concurrency': concurrency + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_processing +create or replace function ai._validate_processing(config jsonb) returns void +as $func$ +declare + _config_type text; + _implementation text; + _val jsonb; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'processing config is not a jsonb object'; + end if; + + _config_type = config operator ( pg_catalog.->> ) 'config_type'; + if _config_type is null or _config_type != 'processing' then + raise exception 'invalid config_type for processing config'; + end if; + _implementation = config operator(pg_catalog.->>) 'implementation'; + case _implementation + when 'default' then + _val = pg_catalog.jsonb_extract_path(config, 'batch_size'); + if _val is not null then + if pg_catalog.jsonb_typeof(_val) operator(pg_catalog.!=) 'number' then + raise exception 'batch_size must be a number'; + end if; + if cast(_val as int) > 2048 then + raise exception 'batch_size must be less than or equal to 2048'; + end if; + if cast(_val as int) < 1 then + raise exception 'batch_size must be greater than 0'; + end if; + end if; + + _val = pg_catalog.jsonb_extract_path(config, 'concurrency'); + if _val is not null then + if pg_catalog.jsonb_typeof(_val) operator(pg_catalog.!=) 'number' then + raise exception 'concurrency must be a number'; + end if; + if cast(_val as int) > 50 then + raise exception 'concurrency must be less than or equal to 50'; + end if; + if cast(_val as int) < 1 then + raise exception 'concurrency must be greater than 0'; + end if; + end if; + else + if _implementation is null then + raise exception 'processing implementation not specified'; + else + raise exception 'unrecognized processing implementation: "%"', _implementation; + end if; + end case; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; + + + +-------------------------------------------------------------------------------- +-- 011-vectorizer-int.sql + +------------------------------------------------------------------------------- +-- _vectorizer_source_pk +create or replace function ai._vectorizer_source_pk(source_table regclass) returns jsonb as +$func$ + select pg_catalog.jsonb_agg(x) + from + ( + select e.attnum, e.pknum, a.attname, y.typname + from pg_catalog.pg_constraint k + cross join lateral pg_catalog.unnest(k.conkey) with ordinality e(attnum, pknum) + inner join pg_catalog.pg_attribute a + on (k.conrelid operator(pg_catalog.=) a.attrelid + and e.attnum operator(pg_catalog.=) a.attnum) + inner join pg_catalog.pg_type y on (a.atttypid operator(pg_catalog.=) y.oid) + where k.conrelid operator(pg_catalog.=) source_table + and k.contype operator(pg_catalog.=) 'p' + ) x +$func$ +language sql stable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_grant_to_source +create or replace function ai._vectorizer_grant_to_source +( source_schema name +, source_table name +, grant_to name[] +) returns void as +$func$ +declare + _sql text; +begin + if grant_to is not null then + -- grant usage on source schema to grant_to roles + select pg_catalog.format + ( $sql$grant usage on schema %I to %s$sql$ + , source_schema + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + + -- grant select on source table to grant_to roles + select pg_catalog.format + ( $sql$grant select on %I.%I to %s$sql$ + , source_schema + , source_table + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + end if; +end; +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_grant_to_vectorizer +create or replace function ai._vectorizer_grant_to_vectorizer(grant_to name[]) returns void as +$func$ +declare + _sql text; +begin + if grant_to is not null then + -- grant usage on schema ai to grant_to roles + select pg_catalog.format + ( $sql$grant usage on schema ai to %s$sql$ + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + + -- grant select on vectorizer table to grant_to roles + select pg_catalog.format + ( $sql$grant select on ai.vectorizer to %s$sql$ + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + end if; +end; +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_create_target_table +create or replace function ai._vectorizer_create_target_table +( source_schema name +, source_table name +, source_pk jsonb +, target_schema name +, target_table name +, dimensions int +, grant_to name[] +) returns void as +$func$ +declare + _pk_cols text; + _sql text; +begin + select pg_catalog.string_agg(pg_catalog.format('%I', x.attname), ', ' order by x.pknum) + into strict _pk_cols + from pg_catalog.jsonb_to_recordset(source_pk) x(pknum int, attname name) + ; + select pg_catalog.format + ( $sql$ + create table %I.%I + ( embedding_uuid uuid not null primary key default pg_catalog.gen_random_uuid() + , %s + , chunk_seq int not null + , chunk text not null + , embedding @extschema:vector@.vector(%L) not null + , unique (%s, chunk_seq) + , foreign key (%s) references %I.%I (%s) on delete cascade + ) + $sql$ + , target_schema, target_table + , ( + select pg_catalog.string_agg + ( + pg_catalog.format + ( '%I %s not null' + , x.attname + , x.typname + ) + , E'\n, ' + order by x.attnum + ) + from pg_catalog.jsonb_to_recordset(source_pk) + x(attnum int, attname name, typname name) + ) + , dimensions + , _pk_cols + , _pk_cols + , source_schema, source_table + , _pk_cols + ) into strict _sql + ; + execute _sql; + + if grant_to is not null then + -- grant usage on target schema to grant_to roles + select pg_catalog.format + ( $sql$grant usage on schema %I to %s$sql$ + , target_schema + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + + -- grant select, insert, update on target table to grant_to roles + select pg_catalog.format + ( $sql$grant select, insert, update on %I.%I to %s$sql$ + , target_schema + , target_table + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + end if; +end; +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_create_view +create or replace function ai._vectorizer_create_view +( view_schema name +, view_name name +, source_schema name +, source_table name +, source_pk jsonb +, target_schema name +, target_table name +, grant_to name[] +) returns void as +$func$ +declare + _sql text; +begin + select pg_catalog.format + ( $sql$ + create view %I.%I as + select + t.embedding_uuid + , t.chunk_seq + , t.chunk + , t.embedding + , %s + from %I.%I t + left outer join %I.%I s + on (%s) + $sql$ + , view_schema, view_name + , ( + -- take primary keys from the target table and other columns from source + -- this allows for join removal optimization + select pg_catalog.string_agg + ( + pg_catalog.format + ( '%s.%I' + , case when x.attnum is not null then 't' else 's' end + , a.attname + ) + , E'\n , ' + order by a.attnum + ) + from pg_catalog.pg_attribute a + left outer join pg_catalog.jsonb_to_recordset(source_pk) x(attnum int) on (a.attnum operator(pg_catalog.=) x.attnum) + where a.attrelid operator(pg_catalog.=) pg_catalog.format('%I.%I', source_schema, source_table)::regclass::oid + and a.attnum operator(pg_catalog.>) 0 + ) + , target_schema, target_table + , source_schema, source_table + , ( + select pg_catalog.string_agg + ( + pg_catalog.format + ( 't.%s = s.%s' + , x.attname + , x.attname + ) + , ' and ' + order by x.pknum + ) + from pg_catalog.jsonb_to_recordset(source_pk) + x(pknum int, attname name) + ) + ) into strict _sql; + execute _sql; + + if grant_to is not null then + -- grant usage on view schema to grant_to roles + select pg_catalog.format + ( $sql$grant usage on schema %I to %s$sql$ + , view_schema + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + + -- grant select on view to grant_to roles + select pg_catalog.format + ( $sql$grant select on %I.%I to %s$sql$ + , view_schema + , view_name + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + end if; +end +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_create_queue_table +create or replace function ai._vectorizer_create_queue_table +( queue_schema name +, queue_table name +, source_pk jsonb +, grant_to name[] +) returns void as +$func$ +declare + _sql text; +begin + -- create the table + select pg_catalog.format + ( $sql$create table %I.%I(%s, queued_at timestamptz not null default now())$sql$ + , queue_schema, queue_table + , ( + select pg_catalog.string_agg + ( + pg_catalog.format + ( '%I %s not null' + , x.attname + , x.typname + ) + , E'\n, ' + order by x.attnum + ) + from pg_catalog.jsonb_to_recordset(source_pk) x(attnum int, attname name, typname name) + ) + ) into strict _sql + ; + execute _sql; + + -- create the index + select pg_catalog.format + ( $sql$create index on %I.%I (%s)$sql$ + , queue_schema, queue_table + , ( + select pg_catalog.string_agg(pg_catalog.format('%I', x.attname), ', ' order by x.pknum) + from pg_catalog.jsonb_to_recordset(source_pk) x(pknum int, attname name) + ) + ) into strict _sql + ; + execute _sql; + + if grant_to is not null then + -- grant usage on queue schema to grant_to roles + select pg_catalog.format + ( $sql$grant usage on schema %I to %s$sql$ + , queue_schema + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + + -- grant select, update, delete on queue table to grant_to roles + select pg_catalog.format + ( $sql$grant select, insert, update, delete on %I.%I to %s$sql$ + , queue_schema + , queue_table + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + end if; +end; +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_create_source_trigger +create or replace function ai._vectorizer_create_source_trigger +( trigger_name name +, queue_schema name +, queue_table name +, source_schema name +, source_table name +, source_pk jsonb +) returns void as +$func$ +declare + _sql text; +begin + -- create the trigger function + -- the trigger function is security definer + -- the owner of the source table is creating the trigger function + -- so the trigger function is run as the owner of the source table + -- who also owns the queue table + -- this means anyone with insert/update on the source is able + -- to enqueue rows in the queue table automatically + -- since the trigger function only does inserts, this should be safe + select pg_catalog.format + ( $sql$ + create function %I.%I() returns trigger + as $plpgsql$ + begin + insert into %I.%I (%s) + values (%s); + return null; + end; + $plpgsql$ language plpgsql volatile parallel safe security definer + set search_path to pg_catalog, pg_temp + $sql$ + , queue_schema, trigger_name + , queue_schema, queue_table + , ( + select pg_catalog.string_agg(pg_catalog.format('%I', x.attname), ', ' order by x.attnum) + from pg_catalog.jsonb_to_recordset(source_pk) x(attnum int, attname name) + ) + , ( + select pg_catalog.string_agg(pg_catalog.format('new.%I', x.attname), ', ' order by x.attnum) + from pg_catalog.jsonb_to_recordset(source_pk) x(attnum int, attname name) + ) + ) into strict _sql + ; + execute _sql; + + -- revoke all on trigger function from public + select pg_catalog.format + ( $sql$ + revoke all on function %I.%I() from public + $sql$ + , queue_schema, trigger_name + ) into strict _sql + ; + execute _sql; + + -- create the trigger on the source table + select pg_catalog.format + ( $sql$ + create trigger %I + after insert or update + on %I.%I + for each row execute function %I.%I(); + $sql$ + , trigger_name + , source_schema, source_table + , queue_schema, trigger_name + ) into strict _sql + ; + execute _sql; +end; +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_vector_index_exists +create or replace function ai._vectorizer_vector_index_exists +( target_schema name +, target_table name +, indexing jsonb +) returns bool as +$func$ +declare + _implementation text; + _found bool; +begin + _implementation = pg_catalog.jsonb_extract_path_text(indexing, 'implementation'); + if _implementation not in ('diskann', 'hnsw') then + raise exception 'unrecognized index implementation: %s', _implementation; + end if; + + -- look for an index on the target table where the indexed column is the "embedding" column + -- and the index is using the correct implementation + select pg_catalog.count(*) filter + ( where pg_catalog.pg_get_indexdef(i.indexrelid) + ilike pg_catalog.concat('% using ', _implementation, ' %') + ) > 0 into _found + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + inner join pg_index i on (k.oid operator(pg_catalog.=) i.indrelid) + inner join pg_catalog.pg_attribute a + on (k.oid operator(pg_catalog.=) a.attrelid + and a.attname operator(pg_catalog.=) 'embedding' + and a.attnum operator(pg_catalog.=) i.indkey[0] + ) + where n.nspname operator(pg_catalog.=) target_schema + and k.relname operator(pg_catalog.=) target_table + ; + return coalesce(_found, false); +end +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_should_create_vector_index +create or replace function ai._vectorizer_should_create_vector_index(vectorizer ai.vectorizer) returns boolean +as $func$ +declare + _indexing jsonb; + _implementation text; + _create_when_queue_empty bool; + _sql text; + _count bigint; + _min_rows bigint; +begin + -- grab the indexing config + _indexing = pg_catalog.jsonb_extract_path(vectorizer.config, 'indexing'); + if _indexing is null then + return false; + end if; + + -- grab the indexing config's implementation + _implementation = pg_catalog.jsonb_extract_path_text(_indexing, 'implementation'); + -- if implementation is missing or none, exit + if _implementation is null or _implementation = 'none' then + return false; + end if; + + -- see if the index already exists. if so, exit + if ai._vectorizer_vector_index_exists(vectorizer.target_schema, vectorizer.target_table, _indexing) then + return false; + end if; + + -- if flag set, only attempt to create the vector index if the queue table is empty + _create_when_queue_empty = coalesce(pg_catalog.jsonb_extract_path(_indexing, 'create_when_queue_empty')::boolean, true); + if _create_when_queue_empty then + -- count the rows in the queue table + select pg_catalog.format + ( $sql$select pg_catalog.count(1) from %I.%I limit 1$sql$ + , vectorizer.queue_schema + , vectorizer.queue_table + ) into strict _sql + ; + execute _sql into _count; + if _count operator(pg_catalog.>) 0 then + raise notice 'queue for %.% is not empty. skipping vector index creation', vectorizer.target_schema, vectorizer.target_table; + return false; + end if; + end if; + + -- if min_rows has a value + _min_rows = coalesce(pg_catalog.jsonb_extract_path_text(_indexing, 'min_rows')::bigint, 0); + if _min_rows > 0 then + -- count the rows in the target table + select pg_catalog.format + ( $sql$select pg_catalog.count(*) from (select 1 from %I.%I limit %L) x$sql$ + , vectorizer.target_schema + , vectorizer.target_table + , _min_rows + ) into strict _sql + ; + execute _sql into _count; + end if; + + -- if we have met or exceeded min_rows, create the index + return coalesce(_count, 0) >= _min_rows; +end +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_create_vector_index +create or replace function ai._vectorizer_create_vector_index +( target_schema name +, target_table name +, indexing jsonb +) returns void as +$func$ +declare + _key1 int = 1982010642; + _key2 int; + _implementation text; + _with_count bigint; + _with text; + _ext_schema name; + _sql text; +begin + + -- use the target table's oid as the second key for the advisory lock + select k.oid::int into strict _key2 + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + where k.relname operator(pg_catalog.=) target_table + and n.nspname operator(pg_catalog.=) target_schema + ; + + -- try to grab a transaction-level advisory lock specific to the target table + -- if we get it, no one else is building the vector index. proceed + -- if we don't get it, someone else is already working on it. abort + if not pg_catalog.pg_try_advisory_xact_lock(_key1, _key2) then + raise warning 'another process is already building a vector index on %.%', target_schema, target_table; + return; + end if; + + -- double-check that the index doesn't exist now that we're holding the advisory lock + -- nobody likes redundant indexes + if ai._vectorizer_vector_index_exists(target_table, target_schema, indexing) then + raise notice 'the vector index on %.% already exists', target_schema, target_table; + return; + end if; + + _implementation = pg_catalog.jsonb_extract_path_text(indexing, 'implementation'); + case _implementation + when 'diskann' then + select + pg_catalog.count(*) + , pg_catalog.string_agg + ( case w.key + when 'storage_layout' then pg_catalog.format('%s=%L', w.key, w.value) + when 'max_alpha' then pg_catalog.format('%s=%s', w.key, w.value::float8) + else pg_catalog.format('%s=%s', w.key, w.value::int) + end + , ', ' + ) + into strict + _with_count + , _with + from pg_catalog.jsonb_each_text(indexing) w + where w.key in + ( 'storage_layout' + , 'num_neighbors' + , 'search_list_size' + , 'max_alpha' + , 'num_dimensions' + , 'num_bits_per_dimension' + ) + ; + + select pg_catalog.format + ( $sql$create index on %I.%I using diskann (embedding)%s$sql$ + , target_schema, target_table + , case when _with_count operator(pg_catalog.>) 0 + then pg_catalog.format(' with (%s)', _with) + else '' + end + ) into strict _sql; + execute _sql; + when 'hnsw' then + select + pg_catalog.count(*) + , pg_catalog.string_agg(pg_catalog.format('%s=%s', w.key, w.value::int), ', ') + into strict + _with_count + , _with + from pg_catalog.jsonb_each_text(indexing) w + where w.key in ('m', 'ef_construction') + ; + + select n.nspname into strict _ext_schema + from pg_catalog.pg_extension x + inner join pg_catalog.pg_namespace n on (x.extnamespace operator(pg_catalog.=) n.oid) + where x.extname operator(pg_catalog.=) 'vector' + ; + + select pg_catalog.format + ( $sql$create index on %I.%I using hnsw (embedding %I.%s)%s$sql$ + , target_schema, target_table + , _ext_schema + , indexing operator(pg_catalog.->>) 'opclass' + , case when _with_count operator(pg_catalog.>) 0 + then pg_catalog.format(' with (%s)', _with) + else '' + end + ) into strict _sql; + execute _sql; + else + raise exception 'unrecognized index implementation: %s', _implementation; + end case; +end +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_job +create or replace procedure ai._vectorizer_job +( job_id int default null +, config jsonb default null +) as +$func$ +declare + _vectorizer_id int; + _vec ai.vectorizer%rowtype; + _sql text; + _found bool; + _count bigint; +begin + set local search_path = pg_catalog, pg_temp; + if config is null then + raise exception 'config is null'; + end if; + + -- get the vectorizer id from the config + select pg_catalog.jsonb_extract_path_text(config, 'vectorizer_id')::int + into strict _vectorizer_id + ; + + -- get the vectorizer + select * into strict _vec + from ai.vectorizer v + where v.id operator(pg_catalog.=) _vectorizer_id + ; + + commit; + set local search_path = pg_catalog, pg_temp; + + -- if the conditions are right, create the vectorizer index + if ai._vectorizer_should_create_vector_index(_vec) then + commit; + set local search_path = pg_catalog, pg_temp; + perform ai._vectorizer_create_vector_index + (_vec.target_schema + , _vec.target_table + , pg_catalog.jsonb_extract_path(_vec.config, 'indexing') + ); + end if; + + commit; + set local search_path = pg_catalog, pg_temp; + + -- if there is at least one item in the queue, we need to execute the vectorizer + select pg_catalog.format + ( $sql$ + select true + from %I.%I + for update skip locked + limit 1 + $sql$ + , _vec.queue_schema, _vec.queue_table + ) into strict _sql + ; + execute _sql into _found; + commit; + set local search_path = pg_catalog, pg_temp; + if coalesce(_found, false) is true then + -- count total items in the queue + select pg_catalog.format + ( $sql$select pg_catalog.count(1) from (select 1 from %I.%I limit 501) $sql$ + , _vec.queue_schema, _vec.queue_table + ) into strict _sql + ; + execute _sql into strict _count; + commit; + set local search_path = pg_catalog, pg_temp; + -- for every 50 items in the queue, execute a vectorizer max out at 10 vectorizers + _count = least(pg_catalog.ceil(_count::float8 / 50.0::float8), 10::float8)::bigint; + raise debug 'job_id %: executing % vectorizers...', job_id, _count; + while _count > 0 loop + -- execute the vectorizer + perform ai.execute_vectorizer(_vectorizer_id); + _count = _count - 1; + end loop; + end if; + commit; + set local search_path = pg_catalog, pg_temp; +end +$func$ +language plpgsql security invoker +; + +------------------------------------------------------------------------------- +-- _vectorizer_schedule_job +create or replace function ai._vectorizer_schedule_job +( vectorizer_id int +, scheduling jsonb +) returns bigint as +$func$ +declare + _implementation text; + _sql text; + _extension_schema name; + _job_id bigint; +begin + select pg_catalog.jsonb_extract_path_text(scheduling, 'implementation') + into strict _implementation + ; + case + when _implementation = 'timescaledb' then + -- look up schema/name of the extension for scheduling. may be null + select n.nspname into _extension_schema + from pg_catalog.pg_extension x + inner join pg_catalog.pg_namespace n on (x.extnamespace operator(pg_catalog.=) n.oid) + where x.extname operator(pg_catalog.=) _implementation + ; + if _extension_schema is null then + raise exception 'timescaledb extension not found'; + end if; + when _implementation = 'none' then + return null; + else + raise exception 'scheduling implementation not recognized'; + end case; + + -- schedule the job using the implementation chosen + case _implementation + when 'timescaledb' then + -- schedule the work proc with timescaledb background jobs + select pg_catalog.format + ( $$select %I.add_job('ai._vectorizer_job'::regproc, %s, config=>%L)$$ + , _extension_schema + , ( -- gather up the arguments + select string_agg + ( pg_catalog.format('%s=>%L', s.key, s.value) + , ', ' + order by x.ord + ) + from pg_catalog.jsonb_each_text(scheduling) s + inner join + unnest(array['schedule_interval', 'initial_start', 'fixed_schedule', 'timezone']) with ordinality x(key, ord) + on (s.key = x.key) + ) + , pg_catalog.jsonb_build_object('vectorizer_id', vectorizer_id)::text + ) into strict _sql + ; + execute _sql into strict _job_id; + end case; + return _job_id; +end +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + + + +-------------------------------------------------------------------------------- +-- 012-vectorizer-api.sql + + +------------------------------------------------------------------------------- +-- execute_vectorizer +create or replace function ai.execute_vectorizer(vectorizer_id int) returns void +as $python$ + if "ai.version" not in GD: + r = plpy.execute("select coalesce(pg_catalog.current_setting('ai.python_lib_dir', true), '/usr/local/lib/pgai') as python_lib_dir") + python_lib_dir = r[0]["python_lib_dir"] + from pathlib import Path + python_lib_dir = Path(python_lib_dir).joinpath("0.4.0") + import site + site.addsitedir(str(python_lib_dir)) + from ai import __version__ as ai_version + assert("0.4.0" == ai_version) + GD["ai.version"] = "0.4.0" + else: + if GD["ai.version"] != "0.4.0": + plpy.fatal("the pgai extension version has changed. start a new session") + import ai.vectorizer + ai.vectorizer.execute_vectorizer(plpy, vectorizer_id) +$python$ +language plpython3u volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- create_vectorizer +create or replace function ai.create_vectorizer +( source regclass +, embedding jsonb +, chunking jsonb +, indexing jsonb default ai.indexing_diskann() +, formatting jsonb default ai.formatting_python_template() +, scheduling jsonb default ai.scheduling_timescaledb() +, processing jsonb default ai.processing_default() +, target_schema name default null +, target_table name default null +, view_schema name default null +, view_name name default null +, queue_schema name default null +, queue_table name default null +, grant_to name[] default array['tsdbadmin'] +, enqueue_existing bool default true +) returns int +as $func$ +declare + _missing_roles name[]; + _source_table name; + _source_schema name; + _trigger_name name; + _is_owner bool; + _dimensions int; + _source_pk jsonb; + _vectorizer_id int; + _sql text; + _job_id bigint; +begin + -- make sure all the roles listed in _grant_to exist + if grant_to is not null then + select + pg_catalog.array_agg(r) filter (where pg_catalog.to_regrole(r) is null) -- missing + , pg_catalog.array_agg(r) filter (where pg_catalog.to_regrole(r) is not null) -- real roles + into strict + _missing_roles + , grant_to + from pg_catalog.unnest(grant_to) r + ; + if pg_catalog.array_length(_missing_roles, 1) > 0 then + raise warning 'one or more grant_to roles do not exist: %', _missing_roles; + end if; + end if; + + -- get source table name and schema name + select k.relname, n.nspname, k.relowner operator(pg_catalog.=) current_user::regrole + into strict _source_table, _source_schema, _is_owner + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + where k.oid operator(pg_catalog.=) source + ; + -- TODO: consider allowing (in)direct members of the role that owns the source table + if not _is_owner then + raise exception 'only the owner of the source table may create a vectorizer on it'; + end if; + + select (embedding operator(pg_catalog.->) 'dimensions')::int into _dimensions; + if _dimensions is null then + raise exception '_dimensions argument is required'; + end if; + + -- get the source table's primary key definition + select ai._vectorizer_source_pk(source) into strict _source_pk; + if _source_pk is null or pg_catalog.jsonb_array_length(_source_pk) = 0 then + raise exception 'source table must have a primary key constraint'; + end if; + + _vectorizer_id = pg_catalog.nextval('ai.vectorizer_id_seq'::pg_catalog.regclass); + target_schema = coalesce(target_schema, _source_schema); + target_table = coalesce(target_table, pg_catalog.concat(_source_table, '_embedding_store')); + view_schema = coalesce(view_schema, _source_schema); + view_name = coalesce(view_name, pg_catalog.concat(_source_table, '_embedding')); + _trigger_name = pg_catalog.concat('_vectorizer_src_trg_', _vectorizer_id); + queue_schema = coalesce(queue_schema, 'ai'); + queue_table = coalesce(queue_table, pg_catalog.concat('_vectorizer_q_', _vectorizer_id)); + + -- make sure target table name is available + if pg_catalog.to_regclass(pg_catalog.format('%I.%I', target_schema, target_table)) is not null then + raise exception 'an object named %.% already exists. specify an alternate target_table explicitly', target_schema, target_schema; + end if; + + -- make sure queue table name is available + if pg_catalog.to_regclass(pg_catalog.format('%I.%I', queue_schema, queue_table)) is not null then + raise exception 'an object named %.% already exists. specify an alternate queue_table explicitly', queue_schema, queue_table; + end if; + + -- make sure view name is available + if pg_catalog.to_regclass(pg_catalog.format('%I.%I', view_schema, view_name)) is not null then + raise exception 'an object named %.% already exists. specify an alternate view_name explicitly', view_schema, view_name; + end if; + + -- validate the embedding config + perform ai._validate_embedding(embedding); + + -- validate the chunking config + perform ai._validate_chunking(chunking, _source_schema, _source_table); + + -- validate the indexing config + perform ai._validate_indexing(indexing); + + -- validate the formatting config + perform ai._validate_formatting(formatting, _source_schema, _source_table); + + -- validate the scheduling config + perform ai._validate_scheduling(scheduling); + + -- validate the processing config + perform ai._validate_processing(processing); + + -- if scheduling is none then indexing must also be none + if scheduling operator(pg_catalog.->>) 'implementation' = 'none' + and indexing operator(pg_catalog.->>) 'implementation' != 'none' then + raise exception 'automatic indexing is not supported without scheduling. set indexing=>ai.indexing_none() when scheduling=>ai.scheduling_none()'; + end if; + + -- grant select to source table + perform ai._vectorizer_grant_to_source + ( _source_schema + , _source_table + , grant_to + ); + + -- create the target table + perform ai._vectorizer_create_target_table + ( _source_schema + , _source_table + , _source_pk + , target_schema + , target_table + , _dimensions + , grant_to + ); + + -- create queue table + perform ai._vectorizer_create_queue_table + ( queue_schema + , queue_table + , _source_pk + , grant_to + ); + + -- create trigger on source table to populate queue + perform ai._vectorizer_create_source_trigger + ( _trigger_name + , queue_schema + , queue_table + , _source_schema + , _source_table + , _source_pk + ); + + -- create view + perform ai._vectorizer_create_view + ( view_schema + , view_name + , _source_schema + , _source_table + , _source_pk + , target_schema + , target_table + , grant_to + ); + + -- schedule the async ext job + select ai._vectorizer_schedule_job + (_vectorizer_id + , scheduling + ) into _job_id + ; + if _job_id is not null then + scheduling = pg_catalog.jsonb_insert(scheduling, array['job_id'], to_jsonb(_job_id)); + end if; + + insert into ai.vectorizer + ( id + , source_schema + , source_table + , source_pk + , target_schema + , target_table + , view_schema + , view_name + , trigger_name + , queue_schema + , queue_table + , config + ) + values + ( _vectorizer_id + , _source_schema + , _source_table + , _source_pk + , target_schema + , target_table + , view_schema + , view_name + , _trigger_name + , queue_schema + , queue_table + , pg_catalog.jsonb_build_object + ( 'version', '0.4.0' + , 'embedding', embedding + , 'chunking', chunking + , 'indexing', indexing + , 'formatting', formatting + , 'scheduling', scheduling + , 'processing', processing + ) + ); + + -- grant select on the vectorizer table + perform ai._vectorizer_grant_to_vectorizer(grant_to); + + -- insert into queue any existing rows from source table + if enqueue_existing is true then + select pg_catalog.format + ( $sql$ + insert into %I.%I (%s) + select %s + from %I.%I x + ; + $sql$ + , queue_schema, queue_table + , ( + select pg_catalog.string_agg(pg_catalog.format('%I', x.attname), ', ' order by x.attnum) + from pg_catalog.jsonb_to_recordset(_source_pk) x(attnum int, attname name) + ) + , ( + select pg_catalog.string_agg(pg_catalog.format('x.%I', x.attname), ', ' order by x.attnum) + from pg_catalog.jsonb_to_recordset(_source_pk) x(attnum int, attname name) + ) + , _source_schema, _source_table + ) into strict _sql + ; + execute _sql; + end if; + return _vectorizer_id; +end +$func$ language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- disable_vectorizer_schedule +create or replace function ai.disable_vectorizer_schedule(vectorizer_id int) returns void +as $func$ +declare + _vec ai.vectorizer%rowtype; + _schedule jsonb; + _job_id bigint; + _sql text; +begin + select * into strict _vec + from ai.vectorizer v + where v.id operator(pg_catalog.=) vectorizer_id + ; + -- enable the scheduled job if exists + _schedule = _vec.config operator(pg_catalog.->) 'scheduling'; + if _schedule is not null then + case _schedule operator(pg_catalog.->>) 'implementation' + when 'none' then -- ok + when 'timescaledb' then + _job_id = (_schedule operator(pg_catalog.->) 'job_id')::bigint; + select pg_catalog.format + ( $$select %I.alter_job(job_id, scheduled=>false) from timescaledb_information.jobs where job_id = %L$$ + , n.nspname + , _job_id + ) into _sql + from pg_catalog.pg_extension x + inner join pg_catalog.pg_namespace n on (x.extnamespace = n.oid) + where x.extname = 'timescaledb' + ; + if _sql is not null then + execute _sql; + end if; + end case; + end if; +end; +$func$ language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- enable_vectorizer_schedule +create or replace function ai.enable_vectorizer_schedule(vectorizer_id int) returns void +as $func$ +declare + _vec ai.vectorizer%rowtype; + _schedule jsonb; + _job_id bigint; + _sql text; +begin + select * into strict _vec + from ai.vectorizer v + where v.id operator(pg_catalog.=) vectorizer_id + ; + -- enable the scheduled job if exists + _schedule = _vec.config operator(pg_catalog.->) 'scheduling'; + if _schedule is not null then + case _schedule operator(pg_catalog.->>) 'implementation' + when 'none' then -- ok + when 'timescaledb' then + _job_id = (_schedule operator(pg_catalog.->) 'job_id')::bigint; + select pg_catalog.format + ( $$select %I.alter_job(job_id, scheduled=>true) from timescaledb_information.jobs where job_id = %L$$ + , n.nspname + , _job_id + ) into _sql + from pg_catalog.pg_extension x + inner join pg_catalog.pg_namespace n on (x.extnamespace = n.oid) + where x.extname = 'timescaledb' + ; + if _sql is not null then + execute _sql; + end if; + end case; + end if; +end; +$func$ language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- drop_vectorizer +create or replace function ai.drop_vectorizer(vectorizer_id int) returns void +as $func$ +/* drop_vectorizer +This function does the following: +1. deletes the scheduled job if any +2. drops the trigger from the source table +3. drops the trigger function +4. drops the queue table +5. deletes the vectorizer row + +It does NOT: +1. drop the target table containing the embeddings +2. drop the view joining the target and source +*/ +declare + _vec ai.vectorizer%rowtype; + _schedule jsonb; + _job_id bigint; + _trigger pg_catalog.pg_trigger%rowtype; + _sql text; +begin + -- grab the vectorizer we need to drop + select v.* into strict _vec + from ai.vectorizer v + where v.id operator(pg_catalog.=) vectorizer_id + ; + + -- delete the scheduled job if exists + _schedule = _vec.config operator(pg_catalog.->) 'scheduling'; + if _schedule is not null then + case _schedule operator(pg_catalog.->>) 'implementation' + when 'none' then -- ok + when 'timescaledb' then + _job_id = (_schedule operator(pg_catalog.->) 'job_id')::bigint; + select pg_catalog.format + ( $$select %I.delete_job(job_id) from timescaledb_information.jobs where job_id = %L$$ + , n.nspname + , _job_id + ) into _sql + from pg_catalog.pg_extension x + inner join pg_catalog.pg_namespace n on (x.extnamespace = n.oid) + where x.extname = 'timescaledb' + ; + if _sql is not null then + execute _sql; + end if; + end case; + end if; + + -- look up the trigger so we can find the function/procedure backing the trigger + select * into strict _trigger + from pg_catalog.pg_trigger g + where g.tgname operator(pg_catalog.=) _vec.trigger_name + and g.tgrelid operator(pg_catalog.=) pg_catalog.format('%I.%I', _vec.source_schema, _vec.source_table)::regclass::oid + ; + + -- drop the trigger on the source table + select pg_catalog.format + ( $sql$drop trigger %I on %I.%I$sql$ + , _trigger.tgname + , _vec.source_schema + , _vec.source_table + ) into strict _sql + ; + execute _sql; + + -- drop the function/procedure backing the trigger + select pg_catalog.format + ( $sql$drop %s %I.%I()$sql$ + , case p.prokind when 'f' then 'function' when 'p' then 'procedure' end + , n.nspname + , p.proname + ) into strict _sql + from pg_catalog.pg_proc p + inner join pg_catalog.pg_namespace n on (n.oid operator(pg_catalog.=) p.pronamespace) + where p.oid operator(pg_catalog.=) _trigger.tgfoid + ; + execute _sql; + + -- drop the queue table + select pg_catalog.format + ( $sql$drop table %I.%I$sql$ + , n.nspname + , k.relname + ) into strict _sql + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + where k.relname operator(pg_catalog.=) _vec.queue_table + and n.nspname operator(pg_catalog.=) _vec.queue_schema + ; + execute _sql; + + -- delete the vectorizer row + delete from ai.vectorizer v + where v.id operator(pg_catalog.=) vectorizer_id + ; + +end; +$func$ language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- vectorizer_queue_pending +create or replace function ai.vectorizer_queue_pending(vectorizer_id int) returns bigint +as $func$ +declare + _queue_schema name; + _queue_table name; + _sql text; + _queue_depth bigint; +begin + select v.queue_schema, v.queue_table into _queue_schema, _queue_table + from ai.vectorizer v + where v.id operator(pg_catalog.=) vectorizer_id + ; + if _queue_schema is null or _queue_table is null then + raise exception 'vectorizer has no queue table'; + end if; + select format + ( $sql$select count(*) from %I.%I$sql$ + , _queue_schema, _queue_table + ) into strict _sql + ; + execute _sql into strict _queue_depth; + return _queue_depth; +end; +$func$ language plpgsql stable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- vectorizer_status +create or replace view ai.vectorizer_status as +select + v.id +, pg_catalog.format('%I.%I', v.source_schema, v.source_table) as source_table +, pg_catalog.format('%I.%I', v.target_schema, v.target_table) as target_table +, pg_catalog.format('%I.%I', v.view_schema, v.view_name) as "view" +, case when v.queue_table is not null then + ai.vectorizer_queue_pending(v.id) + else 0 + end as pending_items +from ai.vectorizer v +; + + + +-------------------------------------------------------------------------------- +-- 999-privileges.sql + +------------------------------------------------------------------------------- +-- grant_ai_usage +create or replace function ai.grant_ai_usage(to_user name, admin bool default false) returns void +as $func$ +declare + _sql text; +begin + -- schema + select pg_catalog.format + ( 'grant %s on schema ai to %I%s' + , case when admin then 'all privileges' else 'usage, create' end + , to_user + , case when admin then ' with grant option' else '' end + ) into strict _sql + ; + raise debug '%', _sql; + execute _sql; + + -- tables, sequences, and views + for _sql in + ( + select pg_catalog.format + ( 'grant %s on %s %I.%I to %I%s' + , case + when admin then 'all privileges' + else + case + when k.relkind in ('r', 'p') then 'select, insert, update, delete' + when k.relkind in ('S') then 'usage, select, update' + when k.relkind in ('v') then 'select' + end + end + , case + when k.relkind in ('r', 'p') then 'table' + when k.relkind in ('S') then 'sequence' + when k.relkind in ('v') then '' + end + , n.nspname + , k.relname + , to_user + , case when admin then ' with grant option' else '' end + ) + from pg_catalog.pg_depend d + inner join pg_catalog.pg_extension e on (d.refobjid operator(pg_catalog.=) e.oid) + inner join pg_catalog.pg_class k on (d.objid operator(pg_catalog.=) k.oid) + inner join pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + where d.refclassid operator(pg_catalog.=) 'pg_catalog.pg_extension'::pg_catalog.regclass + and d.deptype operator(pg_catalog.=) 'e' + and e.extname operator(pg_catalog.=) 'ai' + and k.relkind in ('r', 'p', 'S', 'v') -- tables, sequences, and views + and (admin, n.nspname, k.relname) not in + ( + (false, 'ai', 'migration') -- only admins get any access to this table + ) + order by n.nspname, k.relname + ) + loop + raise debug '%', _sql; + execute _sql; + end loop; + + -- procedures and functions + for _sql in + ( + select pg_catalog.format + ( 'grant %s on %s %I.%I(%s) to %I%s' + , case when admin then 'all privileges' else 'execute' end + , case k.prokind + when 'f' then 'function' + when 'p' then 'procedure' + end + , n.nspname + , k.proname + , pg_catalog.pg_get_function_identity_arguments(k.oid) + , to_user + , case when admin then ' with grant option' else '' end + ) + from pg_catalog.pg_depend d + inner join pg_catalog.pg_extension e on (d.refobjid operator(pg_catalog.=) e.oid) + inner join pg_catalog.pg_proc k on (d.objid operator(pg_catalog.=) k.oid) + inner join pg_namespace n on (k.pronamespace operator(pg_catalog.=) n.oid) + where d.refclassid operator(pg_catalog.=) 'pg_catalog.pg_extension'::pg_catalog.regclass + and d.deptype operator(pg_catalog.=) 'e' + and e.extname operator(pg_catalog.=) 'ai' + and k.prokind in ('f', 'p') + and case + when k.proname operator(pg_catalog.=) 'grant_ai_usage' then admin -- only admins get this function + else true + end + ) + loop + raise debug '%', _sql; + execute _sql; + end loop; +end +$func$ language plpgsql volatile +security invoker -- gotta have privs to give privs +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- grant admin usage to session user and pg_database_owner +select ai.grant_ai_usage(pg_catalog."session_user"(), admin=>true); +select ai.grant_ai_usage('pg_database_owner', admin=>true); + +------------------------------------------------------------------------------- +-- revoke everything from public +do language plpgsql $func$ +declare + _sql text; +begin + -- schema + revoke all privileges on schema ai from public; + + -- tables, sequences, and views + for _sql in + ( + select pg_catalog.format + ( 'revoke all privileges on %s %I.%I from public' + , case + when k.relkind in ('r', 'p') then 'table' + when k.relkind in ('S') then 'sequence' + when k.relkind in ('v') then '' + end + , n.nspname + , k.relname + ) + from pg_catalog.pg_depend d + inner join pg_catalog.pg_extension e on (d.refobjid operator(pg_catalog.=) e.oid) + inner join pg_catalog.pg_class k on (d.objid operator(pg_catalog.=) k.oid) + inner join pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + where d.refclassid operator(pg_catalog.=) 'pg_catalog.pg_extension'::pg_catalog.regclass + and d.deptype operator(pg_catalog.=) 'e' + and e.extname operator(pg_catalog.=) 'ai' + and k.relkind in ('r', 'p', 'S', 'v') -- tables, sequences, and views + order by n.nspname, k.relname + ) + loop + raise debug '%', _sql; + execute _sql; + end loop; + + -- procedures and functions + for _sql in + ( + select pg_catalog.format + ( 'revoke all privileges on %s %I.%I(%s) from public' + , case k.prokind + when 'f' then 'function' + when 'p' then 'procedure' + end + , n.nspname + , k.proname + , pg_catalog.pg_get_function_identity_arguments(k.oid) + ) + from pg_catalog.pg_depend d + inner join pg_catalog.pg_extension e on (d.refobjid operator(pg_catalog.=) e.oid) + inner join pg_catalog.pg_proc k on (d.objid operator(pg_catalog.=) k.oid) + inner join pg_namespace n on (k.pronamespace operator(pg_catalog.=) n.oid) + where d.refclassid operator(pg_catalog.=) 'pg_catalog.pg_extension'::pg_catalog.regclass + and d.deptype operator(pg_catalog.=) 'e' + and e.extname operator(pg_catalog.=) 'ai' + and k.prokind in ('f', 'p') + ) + loop + raise debug '%', _sql; + execute _sql; + end loop; +end +$func$; + + + + diff --git a/ai.control b/projects/extension/sql/ai.control similarity index 79% rename from ai.control rename to projects/extension/sql/ai.control index e3b86efa7..74265e916 100644 --- a/ai.control +++ b/projects/extension/sql/ai.control @@ -1,6 +1,7 @@ # pgai extension comment='helper functions for ai workflows' -default_version='0.3.0' +default_version='0.4.0' requires='vector,plpython3u' relocatable=false +schema=ai no_relocate='vector' \ No newline at end of file diff --git a/projects/extension/sql/head.sql b/projects/extension/sql/head.sql new file mode 100644 index 000000000..b63067728 --- /dev/null +++ b/projects/extension/sql/head.sql @@ -0,0 +1,53 @@ + +set local search_path = pg_catalog, pg_temp; + +/* +make sure that the user doing the install/upgrade is the same user who owns the +schema and migration table. abort the upgrade if different. +*/ +do $bootstrap_extension$ +declare + _current_user_id oid = null; + _schema_owner_id oid = null; + _migration_table_owner_id oid = null; +begin + select pg_catalog.to_regrole('@extowner@')::oid + into strict _current_user_id; + + select pg_namespace.nspowner into strict _schema_owner_id + from pg_catalog.pg_namespace + where pg_namespace.nspname operator(pg_catalog.=) 'ai'; + + if _schema_owner_id is null then + -- this should NEVER happen + -- we have `schema=ai` in the control file, so postgres creates the schema automatically + -- but this line makes pgspot happy + create schema ai; + elseif _schema_owner_id operator(pg_catalog.!=) _current_user_id then + raise exception 'only the owner of the ai schema may install/upgrade this extension'; + return; + end if; + + select k.relowner into _migration_table_owner_id + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace = n.oid) + where k.relname operator(pg_catalog.=) 'migration' + and n.nspname operator(pg_catalog.=) 'ai'; + + if _migration_table_owner_id is not null + and _migration_table_owner_id is distinct from _current_user_id then + raise exception 'only the owner of the ai.migration table can install/upgrade this extension'; + return; + end if; + + if _migration_table_owner_id is null then + create table ai.migration + ( "name" text not null primary key + , applied_at_version text not null + , applied_at timestamptz not null default pg_catalog.clock_timestamp() + , body text not null + ); + end if; +end; +$bootstrap_extension$; + diff --git a/projects/extension/sql/idempotent/001-openai.sql b/projects/extension/sql/idempotent/001-openai.sql new file mode 100644 index 000000000..49790a6a2 --- /dev/null +++ b/projects/extension/sql/idempotent/001-openai.sql @@ -0,0 +1,246 @@ + +------------------------------------------------------------------------------- +-- openai_tokenize +-- encode text as tokens for a given model +-- https://github.com/openai/tiktoken/blob/main/README.md +create or replace function ai.openai_tokenize(_model text, _text text) returns int[] +as $python$ + #ADD-PYTHON-LIB-DIR + import tiktoken + encoding = tiktoken.encoding_for_model(_model) + tokens = encoding.encode(_text) + return tokens +$python$ +language plpython3u strict immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_detokenize +-- decode tokens for a given model back into text +-- https://github.com/openai/tiktoken/blob/main/README.md +create or replace function ai.openai_detokenize(_model text, _tokens int[]) returns text +as $python$ + #ADD-PYTHON-LIB-DIR + import tiktoken + encoding = tiktoken.encoding_for_model(_model) + content = encoding.decode(_tokens) + return content +$python$ +language plpython3u strict immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_list_models +-- list models supported on the openai platform +-- https://platform.openai.com/docs/api-reference/models/list +create or replace function ai.openai_list_models(_api_key text default null, _base_url text default null) +returns table +( id text +, created timestamptz +, owned_by text +) +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.openai + for tup in ai.openai.list_models(plpy, _api_key, _base_url): + yield tup +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_embed +-- generate an embedding from a text value +-- https://platform.openai.com/docs/api-reference/embeddings/create +create or replace function ai.openai_embed +( _model text +, _input text +, _api_key text default null +, _base_url text default null +, _dimensions int default null +, _user text default null +) returns @extschema:vector@.vector +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.openai + for tup in ai.openai.embed(plpy, _model, _input, api_key=_api_key, base_url=_base_url, dimensions=_dimensions, user=_user): + return tup[1] +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_embed +-- generate embeddings from an array of text values +-- https://platform.openai.com/docs/api-reference/embeddings/create +create or replace function ai.openai_embed +( _model text +, _input text[] +, _api_key text default null +, _base_url text default null +, _dimensions int default null +, _user text default null +) returns table +( "index" int +, embedding @extschema:vector@.vector +) +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.openai + for tup in ai.openai.embed(plpy, _model, _input, api_key=_api_key, base_url=_base_url, dimensions=_dimensions, user=_user): + yield tup +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_embed +-- generate embeddings from an array of tokens +-- https://platform.openai.com/docs/api-reference/embeddings/create +create or replace function ai.openai_embed +( _model text +, _input int[] +, _api_key text default null +, _base_url text default null +, _dimensions int default null +, _user text default null +) returns @extschema:vector@.vector +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.openai + for tup in ai.openai.embed(plpy, _model, _input, api_key=_api_key, base_url=_base_url, dimensions=_dimensions, user=_user): + return tup[1] +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_chat_complete +-- text generation / chat completion +-- https://platform.openai.com/docs/api-reference/chat/create +create or replace function ai.openai_chat_complete +( _model text +, _messages jsonb +, _api_key text default null +, _base_url text default null +, _frequency_penalty float8 default null +, _logit_bias jsonb default null +, _logprobs boolean default null +, _top_logprobs int default null +, _max_tokens int default null +, _n int default null +, _presence_penalty float8 default null +, _response_format jsonb default null +, _seed int default null +, _stop text default null +, _temperature float8 default null +, _top_p float8 default null +, _tools jsonb default null +, _tool_choice jsonb default null +, _user text default null +) returns jsonb +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.openai + client = ai.openai.make_client(plpy, _api_key, _base_url) + import json + + _messages_1 = json.loads(_messages) + if not isinstance(_messages_1, list): + plpy.error("_messages is not an array") + + _logit_bias_1 = None + if _logit_bias is not None: + _logit_bias_1 = json.loads(_logit_bias) + + _response_format_1 = None + if _response_format is not None: + _response_format_1 = json.loads(_response_format) + + _tools_1 = None + if _tools is not None: + _tools_1 = json.loads(_tools) + + _tool_choice_1 = None + if _tool_choice is not None: + _tool_choice_1 = json.loads(_tool_choice) + + response = client.chat.completions.create( + model=_model + , messages=_messages_1 + , frequency_penalty=_frequency_penalty + , logit_bias=_logit_bias_1 + , logprobs=_logprobs + , top_logprobs=_top_logprobs + , max_tokens=_max_tokens + , n=_n + , presence_penalty=_presence_penalty + , response_format=_response_format_1 + , seed=_seed + , stop=_stop + , stream=False + , temperature=_temperature + , top_p=_top_p + , tools=_tools_1 + , tool_choice=_tool_choice_1 + , user=_user + ) + + return response.model_dump_json() +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------------ +-- openai_chat_complete_simple +-- simple chat completion that only requires a message and only returns the response +create or replace function ai.openai_chat_complete_simple +( _message text +, _api_key text default null +) returns text +as $$ +declare + model text := 'gpt-4o'; + messages jsonb; +begin + messages := pg_catalog.jsonb_build_array( + pg_catalog.jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant'), + pg_catalog.jsonb_build_object('role', 'user', 'content', _message) + ); + return ai.openai_chat_complete(model, messages, _api_key) + operator(pg_catalog.->)'choices' + operator(pg_catalog.->)0 + operator(pg_catalog.->)'message' + operator(pg_catalog.->>)'content'; +end; +$$ language plpgsql volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- openai_moderate +-- classify text as potentially harmful or not +-- https://platform.openai.com/docs/api-reference/moderations/create +create or replace function ai.openai_moderate +( _model text +, _input text +, _api_key text default null +, _base_url text default null +) returns jsonb +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.openai + client = ai.openai.make_client(plpy, _api_key, _base_url) + moderation = client.moderations.create(input=_input, model=_model) + return moderation.model_dump_json() +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; diff --git a/projects/extension/sql/idempotent/002-ollama.sql b/projects/extension/sql/idempotent/002-ollama.sql new file mode 100644 index 000000000..5a4843e8a --- /dev/null +++ b/projects/extension/sql/idempotent/002-ollama.sql @@ -0,0 +1,214 @@ + +------------------------------------------------------------------------------- +-- ollama_list_models +-- https://github.com/ollama/ollama/blob/main/docs/api.md#list-local-models +-- +create or replace function ai.ollama_list_models(_host text default null) +returns table +( "name" text +, model text +, size bigint +, digest text +, family text +, format text +, families jsonb +, parent_model text +, parameter_size text +, quantization_level text +, modified_at timestamptz +) +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.ollama + client = ai.ollama.make_client(plpy, _host) + import json + resp = client.list() + models = resp.get("models") + if models is None: + raise StopIteration + for m in models: + d = m.get("details") + yield ( m.get("name") + , m.get("model") + , m.get("size") + , m.get("digest") + , d.get("family") if d is not None else None + , d.get("format") if d is not None else None + , json.dumps(d.get("families")) if d is not None else None + , d.get("parent_model") if d is not None else None + , d.get("parameter_size") if d is not None else None + , d.get("quantization_level") if d is not None else None + , m.get("modified_at") + ) +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- ollama_ps +-- https://github.com/ollama/ollama/blob/main/docs/api.md#list-running-models +create or replace function ai.ollama_ps(_host text default null) +returns table +( "name" text +, model text +, size bigint +, digest text +, parent_model text +, format text +, family text +, families jsonb +, parameter_size text +, quantization_level text +, expires_at timestamptz +, size_vram bigint +) +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.ollama + client = ai.ollama.make_client(plpy, _host) + import json + resp = client.ps() + models = resp.get("models") + if models is None: + raise StopIteration + for m in models: + d = m.get("details") + yield ( m.get("name") + , m.get("model") + , m.get("size") + , m.get("digest") + , d.get("parent_model") if d is not None else None + , d.get("format") if d is not None else None + , d.get("family") if d is not None else None + , json.dumps(d.get("families")) if d is not None else None + , d.get("parameter_size") if d is not None else None + , d.get("quantization_level") if d is not None else None + , m.get("expires_at") + , m.get("size_vram") + ) +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- ollama_embed +-- https://github.com/ollama/ollama/blob/main/docs/api.md#generate-embeddings +create or replace function ai.ollama_embed +( _model text +, _input text +, _host text default null +, _keep_alive float8 default null +, _options jsonb default null +) returns @extschema:vector@.vector +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.ollama + client = ai.ollama.make_client(plpy, _host) + _options_1 = None + if _options is not None: + import json + _options_1 = {k: v for k, v in json.loads(_options).items()} + resp = client.embeddings(_model, _input, options=_options, keep_alive=_keep_alive) + return resp.get("embedding") +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- ollama_generate +-- https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-completion +create or replace function ai.ollama_generate +( _model text +, _prompt text +, _host text default null +, _images bytea[] default null +, _keep_alive float8 default null +, _options jsonb default null +, _system text default null +, _template text default null +, _context int[] default null +) returns jsonb +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.ollama + client = ai.ollama.make_client(plpy, _host) + + import json + args = {} + + if _keep_alive is not None: + args["keep_alive"] = _keep_alive + + if _options is not None: + args["options"] = {k: v for k, v in json.loads(_options).items()} + + if _system is not None: + args["system"] = _system + + if _template is not None: + args["template"] = _template + + if _context is not None: + args["context"] = _context + + _images_1 = None + if _images is not None: + import base64 + _images_1 = [] + for image in _images: + _images_1.append(base64.b64encode(image).decode('utf-8')) + args["images"] = _images_1 + + resp = client.generate(_model, _prompt, stream=False, **args) + return json.dumps(resp) +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- ollama_chat_complete +-- https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-chat-completion +create or replace function ai.ollama_chat_complete +( _model text +, _messages jsonb +, _host text default null +, _keep_alive float8 default null +, _options jsonb default null +) returns jsonb +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.ollama + client = ai.ollama.make_client(plpy, _host) + + import json + import base64 + args = {} + + if _keep_alive is not None: + args["keep_alive"] = _keep_alive + + if _options is not None: + args["options"] = {k: v for k, v in json.loads(_options).items()} + + _messages_1 = json.loads(_messages) + if not isinstance(_messages_1, list): + plpy.error("_messages is not an array") + + # the python api expects bytes objects for images + # decode the base64 encoded images into raw binary + for message in _messages_1: + if 'images' in message: + decoded = [base64.b64decode(image) for image in message["images"]] + message["images"] = decoded + + resp = client.chat(_model, _messages_1, stream=False, **args) + + return json.dumps(resp) +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; diff --git a/projects/extension/sql/idempotent/003-anthropic.sql b/projects/extension/sql/idempotent/003-anthropic.sql new file mode 100644 index 000000000..619199962 --- /dev/null +++ b/projects/extension/sql/idempotent/003-anthropic.sql @@ -0,0 +1,53 @@ + +------------------------------------------------------------------------------- +-- anthropic_generate +-- https://docs.anthropic.com/en/api/messages +create or replace function ai.anthropic_generate +( _model text +, _messages jsonb +, _max_tokens int default 1024 +, _api_key text default null +, _base_url text default null +, _timeout float8 default null +, _max_retries int default null +, _system text default null +, _user_id text default null +, _stop_sequences text[] default null +, _temperature float8 default null +, _tool_choice jsonb default null +, _tools jsonb default null +, _top_k int default null +, _top_p float8 default null +) returns jsonb +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.anthropic + client = ai.anthropic.make_client(plpy, api_key=_api_key, base_url=_base_url, timeout=_timeout, max_retries=_max_retries) + + import json + _messages_1 = json.loads(_messages) + + args = {} + if _system is not None: + args["system"] = _system + if _user_id is not None: + args["metadata"] = {"user_id", _user_id} + if _stop_sequences is not None: + args["stop_sequences"] = _stop_sequences + if _temperature is not None: + args["temperature"] = _temperature + if _tool_choice is not None: + args["tool_choice"] = json.dumps(_tool_choice) + if _tools is not None: + args["tools"] = json.dumps(_tools) + if _top_k is not None: + args["top_k"] = _top_k + if _top_p is not None: + args["top_p"] = _top_p + + message = client.messages.create(model=_model, messages=_messages_1, max_tokens=_max_tokens, **args) + return message.to_json() +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; diff --git a/projects/extension/sql/idempotent/004-cohere.sql b/projects/extension/sql/idempotent/004-cohere.sql new file mode 100644 index 000000000..93edcbf74 --- /dev/null +++ b/projects/extension/sql/idempotent/004-cohere.sql @@ -0,0 +1,308 @@ + +------------------------------------------------------------------------------- +-- cohere_list_models +-- https://docs.cohere.com/reference/list-models +create or replace function ai.cohere_list_models +( _api_key text default null +, _endpoint text default null +, _default_only bool default null +) +returns table +( "name" text +, endpoints text[] +, finetuned bool +, context_length int +, tokenizer_url text +, default_endpoints text[] +) +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + args = {} + if _endpoint is not None: + args["endpoint"] = _endpoint + if _default_only is not None: + args["default_only"] = _default_only + page_token = None + while True: + resp = client.models.list(page_size=1000, page_token=page_token, **args) + for model in resp.models: + yield (model.name, model.endpoints, model.finetuned, model.context_length, model.tokenizer_url, model.default_endpoints) + page_token = resp.next_page_token + if page_token is None: + break +$python$ +language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_tokenize +-- https://docs.cohere.com/reference/tokenize +create or replace function ai.cohere_tokenize(_model text, _text text, _api_key text default null) returns int[] +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + response = client.tokenize(text=_text, model=_model) + return response.tokens +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_detokenize +-- https://docs.cohere.com/reference/detokenize +create or replace function ai.cohere_detokenize(_model text, _tokens int[], _api_key text default null) returns text +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + response = client.detokenize(tokens=_tokens, model=_model) + return response.text +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_embed +-- https://docs.cohere.com/reference/embed-1 +create or replace function ai.cohere_embed +( _model text +, _input text +, _api_key text default null +, _input_type text default null +, _truncate text default null +) returns @extschema:vector@.vector +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + args={} + if _input_type is not None: + args["input_type"] = _input_type + if _truncate is not None: + args["truncate"] = _truncate + response = client.embed(texts=[_input], model=_model, **args) + return response.embeddings[0] +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_classify +-- https://docs.cohere.com/reference/classify +create or replace function ai.cohere_classify +( _model text +, _inputs text[] +, _api_key text default null +, _examples jsonb default null +, _truncate text default null +) returns jsonb +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + import json + args = {} + if _examples is not None: + args["examples"] = json.loads(_examples) + if _truncate is not None: + args["truncate"] = _truncate + + response = client.classify(inputs=_inputs, model=_model, **args) + return response.json() +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_classify_simple +-- https://docs.cohere.com/reference/classify +create or replace function ai.cohere_classify_simple +( _model text +, _inputs text[] +, _api_key text default null +, _examples jsonb default null +, _truncate text default null +) returns table +( input text +, prediction text +, confidence float8 +) +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + import json + args = {} + if _examples is not None: + args["examples"] = json.loads(_examples) + if _truncate is not None: + args["truncate"] = _truncate + response = client.classify(inputs=_inputs, model=_model, **args) + for x in response.classifications: + yield x.input, x.prediction, x.confidence +$python$ +language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_rerank +-- https://docs.cohere.com/reference/rerank +create or replace function ai.cohere_rerank +( _model text +, _query text +, _documents jsonb +, _api_key text default null +, _top_n integer default null +, _rank_fields text[] default null +, _return_documents bool default null +, _max_chunks_per_doc int default null +) returns jsonb +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + import json + args = {} + if _top_n is not None: + args["top_n"] = _top_n + if _rank_fields is not None: + args["rank_fields"] = _rank_fields + if _return_documents is not None: + args["return_documents"] = _return_documents + if _max_chunks_per_doc is not None: + args["max_chunks_per_doc"] = _max_chunks_per_doc + _documents_1 = json.loads(_documents) + response = client.rerank(model=_model, query=_query, documents=_documents_1, **args) + return response.json() +$python$ language plpython3u immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_rerank_simple +-- https://docs.cohere.com/reference/rerank +create or replace function ai.cohere_rerank_simple +( _model text +, _query text +, _documents jsonb +, _api_key text default null +, _top_n integer default null +, _max_chunks_per_doc int default null +) returns table +( "index" int +, "document" jsonb +, relevance_score float8 +) +as $func$ +select * +from pg_catalog.jsonb_to_recordset +( + ai.cohere_rerank + ( _model + , _query + , _documents + , _api_key=>_api_key + , _top_n=>_top_n + , _return_documents=>true + , _max_chunks_per_doc=>_max_chunks_per_doc + ) operator(pg_catalog.->) 'results' +) x("index" int, "document" jsonb, relevance_score float8) +$func$ language sql immutable parallel safe security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- cohere_chat_complete +-- https://docs.cohere.com/reference/chat +create or replace function ai.cohere_chat_complete +( _model text +, _message text +, _api_key text default null +, _preamble text default null +, _chat_history jsonb default null +, _conversation_id text default null +, _prompt_truncation text default null +, _connectors jsonb default null +, _search_queries_only bool default null +, _documents jsonb default null +, _citation_quality text default null +, _temperature float8 default null +, _max_tokens int default null +, _max_input_tokens int default null +, _k int default null +, _p float8 default null +, _seed int default null +, _stop_sequences text[] default null +, _frequency_penalty float8 default null +, _presence_penalty float8 default null +, _tools jsonb default null +, _tool_results jsonb default null +, _force_single_step bool default null +) returns jsonb +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.cohere + client = ai.cohere.make_client(plpy, _api_key) + + import json + args = {} + if _preamble is not None: + args["preamble"] = _preamble + if _chat_history is not None: + args["chat_history"] = json.loads(_chat_history) + if _conversation_id is not None: + args["conversation_id"] = _conversation_id + if _prompt_truncation is not None: + args["prompt_truncation"] = _prompt_truncation + if _connectors is not None: + args["connectors"] = json.loads(_connectors) + if _search_queries_only is not None: + args["search_queries_only"] = _search_queries_only + if _documents is not None: + args["documents"] = json.loads(_documents) + if _citation_quality is not None: + args["citation_quality"] = _citation_quality + if _temperature is not None: + args["temperature"] = _temperature + if _max_tokens is not None: + args["max_tokens"] = _max_tokens + if _max_input_tokens is not None: + args["max_input_tokens"] = _max_input_tokens + if _k is not None: + args["k"] = _k + if _p is not None: + args["p"] = _p + if _seed is not None: + args["seed"] = _seed + if _stop_sequences is not None: + args["stop_sequences"] = _stop_sequences + if _frequency_penalty is not None: + args["frequency_penalty"] = _frequency_penalty + if _presence_penalty is not None: + args["presence_penalty"] = _presence_penalty + if _tools is not None: + args["tools"] = json.loads(_tools) + if _tool_results is not None: + args["tool_results"] = json.loads(_tool_results) + if _force_single_step is not None: + args["force_single_step"] = _force_single_step + + response = client.chat(model=_model, message=_message, **args) + return response.json() +$python$ language plpython3u volatile parallel safe security invoker +set search_path to pg_catalog, pg_temp +; diff --git a/projects/extension/sql/idempotent/005-chunking.sql b/projects/extension/sql/idempotent/005-chunking.sql new file mode 100644 index 000000000..1c8c2ffce --- /dev/null +++ b/projects/extension/sql/idempotent/005-chunking.sql @@ -0,0 +1,97 @@ + +------------------------------------------------------------------------------- +-- chunking_character_text_splitter +create or replace function ai.chunking_character_text_splitter +( chunk_column name +, chunk_size int default 800 +, chunk_overlap int default 400 +, separator text default E'\n\n' +, is_separator_regex bool default false +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'character_text_splitter' + , 'config_type': 'chunking' + , 'chunk_column': chunk_column + , 'chunk_size': chunk_size + , 'chunk_overlap': chunk_overlap + , 'separator': separator + , 'is_separator_regex': is_separator_regex + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- chunking_recursive_character_text_splitter +create or replace function ai.chunking_recursive_character_text_splitter +( chunk_column name +, chunk_size int default 800 +, chunk_overlap int default 400 +, separators text[] default array[E'\n\n', E'\n', '.', '?', '!', ' ', ''] +, is_separator_regex bool default false +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'recursive_character_text_splitter' + , 'config_type': 'chunking' + , 'chunk_column': chunk_column + , 'chunk_size': chunk_size + , 'chunk_overlap': chunk_overlap + , 'separators': separators + , 'is_separator_regex': is_separator_regex + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_chunking +create or replace function ai._validate_chunking +( config jsonb +, source_schema name +, source_table name +) returns void +as $func$ +declare + _config_type text; + _implementation text; + _chunk_column text; + _found bool; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'chunking config is not a jsonb object'; + end if; + + _config_type = config operator(pg_catalog.->>) 'config_type'; + if _config_type is null or _config_type != 'chunking' then + raise exception 'invalid config_type for chunking config'; + end if; + + _implementation = config operator(pg_catalog.->>) 'implementation'; + if _implementation is null or _implementation not in ('character_text_splitter', 'recursive_character_text_splitter') then + raise exception 'invalid chunking config implementation'; + end if; + + _chunk_column = config operator(pg_catalog.->>) 'chunk_column'; + + select count(*) > 0 into strict _found + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + inner join pg_catalog.pg_attribute a on (k.oid operator(pg_catalog.=) a.attrelid) + inner join pg_catalog.pg_type y on (a.atttypid operator(pg_catalog.=) y.oid) + where n.nspname operator(pg_catalog.=) source_schema + and k.relname operator(pg_catalog.=) source_table + and a.attnum operator(pg_catalog.>) 0 + and a.attname operator(pg_catalog.=) _chunk_column + and y.typname in ('text', 'varchar', 'char', 'bpchar') + ; + if not _found then + raise exception 'chunk column in config does not exist in the table: %', _chunk_column; + end if; +end +$func$ language plpgsql stable security invoker +set search_path to pg_catalog, pg_temp +; diff --git a/projects/extension/sql/idempotent/006-formatting.sql b/projects/extension/sql/idempotent/006-formatting.sql new file mode 100644 index 000000000..d78efab6b --- /dev/null +++ b/projects/extension/sql/idempotent/006-formatting.sql @@ -0,0 +1,85 @@ + +------------------------------------------------------------------------------- +-- formatting_python_template +create or replace function ai.formatting_python_template(template text default '$chunk') returns jsonb +as $func$ + select json_object + ( 'implementation': 'python_template' + , 'config_type': 'formatting' + , 'template': template + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_formatting_python_template +create or replace function ai._validate_formatting_python_template +( config jsonb +, source_schema name +, source_table name +) returns void +as $func$ +declare + _template text; + _found bool; +begin + select config operator(pg_catalog.->>) 'template' + into strict _template + ; + if not pg_catalog.like(_template, '%$chunk%') then + raise exception 'template must contain $chunk placeholder'; + end if; + + -- check that no columns on the source table are named "chunk" + select count(*) > 0 into strict _found + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace = n.oid) + inner join pg_catalog.pg_attribute a on (k.oid = a.attrelid) + where n.nspname operator(pg_catalog.=) source_schema + and k.relname operator(pg_catalog.=) source_table + and a.attnum operator(pg_catalog.>) 0 + and a.attname operator(pg_catalog.=) 'chunk' + ; + if _found then + raise exception 'formatting_python_template may not be used when source table has a column named "chunk"'; + end if; +end +$func$ language plpgsql stable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_formatting +create or replace function ai._validate_formatting +( config jsonb +, source_schema name +, source_table name +) returns void +as $func$ +declare + _config_type text; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'formatting config is not a jsonb object'; + end if; + + _config_type = config operator ( pg_catalog.->> ) 'config_type'; + if _config_type is null or _config_type != 'formatting' then + raise exception 'invalid config_type for formatting config'; + end if; + case config operator(pg_catalog.->>) 'implementation' + when 'python_template' then + perform ai._validate_formatting_python_template + ( config + , source_schema + , source_table + ); + else + raise exception 'unrecognized formatting implementation'; + end case; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; diff --git a/projects/extension/sql/idempotent/007-scheduling.sql b/projects/extension/sql/idempotent/007-scheduling.sql new file mode 100644 index 000000000..97e192f60 --- /dev/null +++ b/projects/extension/sql/idempotent/007-scheduling.sql @@ -0,0 +1,69 @@ + +------------------------------------------------------------------------------- +-- scheduling_none +create or replace function ai.scheduling_none() returns jsonb +as $func$ + select pg_catalog.jsonb_build_object + ( 'implementation', 'none' + , 'config_type', 'scheduling' + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- scheduling_timescaledb +create or replace function ai.scheduling_timescaledb +( schedule_interval interval default interval '5m' +, initial_start timestamptz default null +, fixed_schedule bool default null +, timezone text default null +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'timescaledb' + , 'config_type': 'scheduling' + , 'schedule_interval': schedule_interval + , 'initial_start': initial_start + , 'fixed_schedule': fixed_schedule + , 'timezone': timezone + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + + +------------------------------------------------------------------------------- +-- _validate_scheduling +create or replace function ai._validate_scheduling(config jsonb) returns void +as $func$ +declare + _config_type text; + _implementation text; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'scheduling config is not a jsonb object'; + end if; + + _config_type = config operator ( pg_catalog.->> ) 'config_type'; + if _config_type is null or _config_type != 'scheduling' then + raise exception 'invalid config_type for scheduling config'; + end if; + _implementation = config operator(pg_catalog.->>) 'implementation'; + case _implementation + when 'none' then + -- ok + when 'timescaledb' then + -- ok + else + if _implementation is null then + raise exception 'scheduling implementation not specified'; + else + raise exception 'unrecognized scheduling implementation: "%"', _implementation; + end if; + end case; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; diff --git a/projects/extension/sql/idempotent/008-embedding.sql b/projects/extension/sql/idempotent/008-embedding.sql new file mode 100644 index 000000000..9514dc9e2 --- /dev/null +++ b/projects/extension/sql/idempotent/008-embedding.sql @@ -0,0 +1,54 @@ + +------------------------------------------------------------------------------- +-- embedding_openai +create or replace function ai.embedding_openai +( model text +, dimensions int +, chat_user text default null +, api_key_name text default 'OPENAI_API_KEY' +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'openai' + , 'config_type': 'embedding' + , 'model': model + , 'dimensions': dimensions + , 'user': chat_user + , 'api_key_name': api_key_name + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_embedding +create or replace function ai._validate_embedding(config jsonb) returns void +as $func$ +declare + _config_type text; + _implementation text; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'embedding config is not a jsonb object'; + end if; + + _config_type = config operator ( pg_catalog.->> ) 'config_type'; + if _config_type is null or _config_type != 'embedding' then + raise exception 'invalid config_type for embedding config'; + end if; + _implementation = config operator(pg_catalog.->>) 'implementation'; + case _implementation + when 'openai' then + -- ok + else + if _implementation is null then + raise exception 'embedding implementation not specified'; + else + raise exception 'invalid embedding implementation: "%"', _implementation; + end if; + end case; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; diff --git a/projects/extension/sql/idempotent/009-indexing.sql b/projects/extension/sql/idempotent/009-indexing.sql new file mode 100644 index 000000000..2a77278c2 --- /dev/null +++ b/projects/extension/sql/idempotent/009-indexing.sql @@ -0,0 +1,136 @@ + +------------------------------------------------------------------------------- +-- indexing_none +create or replace function ai.indexing_none() returns jsonb +as $func$ + select jsonb_build_object + ( 'implementation', 'none' + , 'config_type', 'indexing' + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- indexing_diskann +create or replace function ai.indexing_diskann +( min_rows int default 100000 +, storage_layout text default null +, num_neighbors int default null +, search_list_size int default null +, max_alpha float8 default null +, num_dimensions int default null +, num_bits_per_dimension int default null +, create_when_queue_empty boolean default true +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'diskann' + , 'config_type': 'indexing' + , 'min_rows': min_rows + , 'storage_layout': storage_layout + , 'num_neighbors': num_neighbors + , 'search_list_size': search_list_size + , 'max_alpha': max_alpha + , 'num_dimensions': num_dimensions + , 'num_bits_per_dimension': num_bits_per_dimension + , 'create_when_queue_empty': create_when_queue_empty + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_indexing_diskann +create or replace function ai._validate_indexing_diskann(config jsonb) returns void +as $func$ +declare + _storage_layout text; +begin + _storage_layout = config operator(pg_catalog.->>) 'storage_layout'; + if _storage_layout is not null and not (_storage_layout operator(pg_catalog.=) any(array['memory_optimized', 'plain'])) then + raise exception 'invalid storage_layout'; + end if; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- indexing_hnsw +create or replace function ai.indexing_hnsw +( min_rows int default 100000 +, opclass text default 'vector_cosine_ops' +, m int default null +, ef_construction int default null +, create_when_queue_empty boolean default true +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'hnsw' + , 'config_type': 'indexing' + , 'min_rows': min_rows + , 'opclass': opclass + , 'm': m + , 'ef_construction': ef_construction + , 'create_when_queue_empty': create_when_queue_empty + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_indexing_hnsw +create or replace function ai._validate_indexing_hnsw(config jsonb) returns void +as $func$ +declare + _opclass text; +begin + _opclass = config operator(pg_catalog.->>) 'opclass'; + if _opclass is not null + and not (_opclass operator(pg_catalog.=) any(array['vector_ip_ops', 'vector_cosine_ops', 'vector_l1_ops'])) then + raise exception 'invalid opclass'; + end if; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_indexing +create or replace function ai._validate_indexing(config jsonb) returns void +as $func$ +declare + _config_type text; + _implementation text; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'indexing config is not a jsonb object'; + end if; + + _config_type = config operator ( pg_catalog.->> ) 'config_type'; + if _config_type is null or _config_type != 'indexing' then + raise exception 'invalid config_type for indexing config'; + end if; + _implementation = config operator(pg_catalog.->>) 'implementation'; + case _implementation + when 'none' then + -- ok + when 'diskann' then + perform ai._validate_indexing_diskann(config); + when 'hnsw' then + perform ai._validate_indexing_hnsw(config); + else + if _implementation is null then + raise exception 'indexing implementation not specified'; + else + raise exception 'invalid indexing implementation: "%"', _implementation; + end if; + end case; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; + diff --git a/projects/extension/sql/idempotent/010-processing.sql b/projects/extension/sql/idempotent/010-processing.sql new file mode 100644 index 000000000..171e06a82 --- /dev/null +++ b/projects/extension/sql/idempotent/010-processing.sql @@ -0,0 +1,75 @@ + +------------------------------------------------------------------------------- +-- processing_default +create or replace function ai.processing_default +( batch_size int default null +, concurrency int default null +) returns jsonb +as $func$ + select json_object + ( 'implementation': 'default' + , 'config_type': 'processing' + , 'batch_size': batch_size + , 'concurrency': concurrency + absent on null + ) +$func$ language sql immutable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _validate_processing +create or replace function ai._validate_processing(config jsonb) returns void +as $func$ +declare + _config_type text; + _implementation text; + _val jsonb; +begin + if pg_catalog.jsonb_typeof(config) != 'object' then + raise exception 'processing config is not a jsonb object'; + end if; + + _config_type = config operator ( pg_catalog.->> ) 'config_type'; + if _config_type is null or _config_type != 'processing' then + raise exception 'invalid config_type for processing config'; + end if; + _implementation = config operator(pg_catalog.->>) 'implementation'; + case _implementation + when 'default' then + _val = pg_catalog.jsonb_extract_path(config, 'batch_size'); + if _val is not null then + if pg_catalog.jsonb_typeof(_val) operator(pg_catalog.!=) 'number' then + raise exception 'batch_size must be a number'; + end if; + if cast(_val as int) > 2048 then + raise exception 'batch_size must be less than or equal to 2048'; + end if; + if cast(_val as int) < 1 then + raise exception 'batch_size must be greater than 0'; + end if; + end if; + + _val = pg_catalog.jsonb_extract_path(config, 'concurrency'); + if _val is not null then + if pg_catalog.jsonb_typeof(_val) operator(pg_catalog.!=) 'number' then + raise exception 'concurrency must be a number'; + end if; + if cast(_val as int) > 50 then + raise exception 'concurrency must be less than or equal to 50'; + end if; + if cast(_val as int) < 1 then + raise exception 'concurrency must be greater than 0'; + end if; + end if; + else + if _implementation is null then + raise exception 'processing implementation not specified'; + else + raise exception 'unrecognized processing implementation: "%"', _implementation; + end if; + end case; +end +$func$ language plpgsql immutable security invoker +set search_path to pg_catalog, pg_temp +; diff --git a/projects/extension/sql/idempotent/011-vectorizer-int.sql b/projects/extension/sql/idempotent/011-vectorizer-int.sql new file mode 100644 index 000000000..a82e7c52b --- /dev/null +++ b/projects/extension/sql/idempotent/011-vectorizer-int.sql @@ -0,0 +1,807 @@ + +------------------------------------------------------------------------------- +-- _vectorizer_source_pk +create or replace function ai._vectorizer_source_pk(source_table regclass) returns jsonb as +$func$ + select pg_catalog.jsonb_agg(x) + from + ( + select e.attnum, e.pknum, a.attname, y.typname + from pg_catalog.pg_constraint k + cross join lateral pg_catalog.unnest(k.conkey) with ordinality e(attnum, pknum) + inner join pg_catalog.pg_attribute a + on (k.conrelid operator(pg_catalog.=) a.attrelid + and e.attnum operator(pg_catalog.=) a.attnum) + inner join pg_catalog.pg_type y on (a.atttypid operator(pg_catalog.=) y.oid) + where k.conrelid operator(pg_catalog.=) source_table + and k.contype operator(pg_catalog.=) 'p' + ) x +$func$ +language sql stable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_grant_to_source +create or replace function ai._vectorizer_grant_to_source +( source_schema name +, source_table name +, grant_to name[] +) returns void as +$func$ +declare + _sql text; +begin + if grant_to is not null then + -- grant usage on source schema to grant_to roles + select pg_catalog.format + ( $sql$grant usage on schema %I to %s$sql$ + , source_schema + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + + -- grant select on source table to grant_to roles + select pg_catalog.format + ( $sql$grant select on %I.%I to %s$sql$ + , source_schema + , source_table + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + end if; +end; +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_grant_to_vectorizer +create or replace function ai._vectorizer_grant_to_vectorizer(grant_to name[]) returns void as +$func$ +declare + _sql text; +begin + if grant_to is not null then + -- grant usage on schema ai to grant_to roles + select pg_catalog.format + ( $sql$grant usage on schema ai to %s$sql$ + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + + -- grant select on vectorizer table to grant_to roles + select pg_catalog.format + ( $sql$grant select on ai.vectorizer to %s$sql$ + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + end if; +end; +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_create_target_table +create or replace function ai._vectorizer_create_target_table +( source_schema name +, source_table name +, source_pk jsonb +, target_schema name +, target_table name +, dimensions int +, grant_to name[] +) returns void as +$func$ +declare + _pk_cols text; + _sql text; +begin + select pg_catalog.string_agg(pg_catalog.format('%I', x.attname), ', ' order by x.pknum) + into strict _pk_cols + from pg_catalog.jsonb_to_recordset(source_pk) x(pknum int, attname name) + ; + select pg_catalog.format + ( $sql$ + create table %I.%I + ( embedding_uuid uuid not null primary key default pg_catalog.gen_random_uuid() + , %s + , chunk_seq int not null + , chunk text not null + , embedding @extschema:vector@.vector(%L) not null + , unique (%s, chunk_seq) + , foreign key (%s) references %I.%I (%s) on delete cascade + ) + $sql$ + , target_schema, target_table + , ( + select pg_catalog.string_agg + ( + pg_catalog.format + ( '%I %s not null' + , x.attname + , x.typname + ) + , E'\n, ' + order by x.attnum + ) + from pg_catalog.jsonb_to_recordset(source_pk) + x(attnum int, attname name, typname name) + ) + , dimensions + , _pk_cols + , _pk_cols + , source_schema, source_table + , _pk_cols + ) into strict _sql + ; + execute _sql; + + if grant_to is not null then + -- grant usage on target schema to grant_to roles + select pg_catalog.format + ( $sql$grant usage on schema %I to %s$sql$ + , target_schema + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + + -- grant select, insert, update on target table to grant_to roles + select pg_catalog.format + ( $sql$grant select, insert, update on %I.%I to %s$sql$ + , target_schema + , target_table + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + end if; +end; +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_create_view +create or replace function ai._vectorizer_create_view +( view_schema name +, view_name name +, source_schema name +, source_table name +, source_pk jsonb +, target_schema name +, target_table name +, grant_to name[] +) returns void as +$func$ +declare + _sql text; +begin + select pg_catalog.format + ( $sql$ + create view %I.%I as + select + t.embedding_uuid + , t.chunk_seq + , t.chunk + , t.embedding + , %s + from %I.%I t + left outer join %I.%I s + on (%s) + $sql$ + , view_schema, view_name + , ( + -- take primary keys from the target table and other columns from source + -- this allows for join removal optimization + select pg_catalog.string_agg + ( + pg_catalog.format + ( '%s.%I' + , case when x.attnum is not null then 't' else 's' end + , a.attname + ) + , E'\n , ' + order by a.attnum + ) + from pg_catalog.pg_attribute a + left outer join pg_catalog.jsonb_to_recordset(source_pk) x(attnum int) on (a.attnum operator(pg_catalog.=) x.attnum) + where a.attrelid operator(pg_catalog.=) pg_catalog.format('%I.%I', source_schema, source_table)::regclass::oid + and a.attnum operator(pg_catalog.>) 0 + ) + , target_schema, target_table + , source_schema, source_table + , ( + select pg_catalog.string_agg + ( + pg_catalog.format + ( 't.%s = s.%s' + , x.attname + , x.attname + ) + , ' and ' + order by x.pknum + ) + from pg_catalog.jsonb_to_recordset(source_pk) + x(pknum int, attname name) + ) + ) into strict _sql; + execute _sql; + + if grant_to is not null then + -- grant usage on view schema to grant_to roles + select pg_catalog.format + ( $sql$grant usage on schema %I to %s$sql$ + , view_schema + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + + -- grant select on view to grant_to roles + select pg_catalog.format + ( $sql$grant select on %I.%I to %s$sql$ + , view_schema + , view_name + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + end if; +end +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_create_queue_table +create or replace function ai._vectorizer_create_queue_table +( queue_schema name +, queue_table name +, source_pk jsonb +, grant_to name[] +) returns void as +$func$ +declare + _sql text; +begin + -- create the table + select pg_catalog.format + ( $sql$create table %I.%I(%s, queued_at timestamptz not null default now())$sql$ + , queue_schema, queue_table + , ( + select pg_catalog.string_agg + ( + pg_catalog.format + ( '%I %s not null' + , x.attname + , x.typname + ) + , E'\n, ' + order by x.attnum + ) + from pg_catalog.jsonb_to_recordset(source_pk) x(attnum int, attname name, typname name) + ) + ) into strict _sql + ; + execute _sql; + + -- create the index + select pg_catalog.format + ( $sql$create index on %I.%I (%s)$sql$ + , queue_schema, queue_table + , ( + select pg_catalog.string_agg(pg_catalog.format('%I', x.attname), ', ' order by x.pknum) + from pg_catalog.jsonb_to_recordset(source_pk) x(pknum int, attname name) + ) + ) into strict _sql + ; + execute _sql; + + if grant_to is not null then + -- grant usage on queue schema to grant_to roles + select pg_catalog.format + ( $sql$grant usage on schema %I to %s$sql$ + , queue_schema + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + + -- grant select, update, delete on queue table to grant_to roles + select pg_catalog.format + ( $sql$grant select, insert, update, delete on %I.%I to %s$sql$ + , queue_schema + , queue_table + , ( + select pg_catalog.string_agg(pg_catalog.quote_ident(x), ', ') + from pg_catalog.unnest(grant_to) x + ) + ) into strict _sql; + execute _sql; + end if; +end; +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_create_source_trigger +create or replace function ai._vectorizer_create_source_trigger +( trigger_name name +, queue_schema name +, queue_table name +, source_schema name +, source_table name +, source_pk jsonb +) returns void as +$func$ +declare + _sql text; +begin + -- create the trigger function + -- the trigger function is security definer + -- the owner of the source table is creating the trigger function + -- so the trigger function is run as the owner of the source table + -- who also owns the queue table + -- this means anyone with insert/update on the source is able + -- to enqueue rows in the queue table automatically + -- since the trigger function only does inserts, this should be safe + select pg_catalog.format + ( $sql$ + create function %I.%I() returns trigger + as $plpgsql$ + begin + insert into %I.%I (%s) + values (%s); + return null; + end; + $plpgsql$ language plpgsql volatile parallel safe security definer + set search_path to pg_catalog, pg_temp + $sql$ + , queue_schema, trigger_name + , queue_schema, queue_table + , ( + select pg_catalog.string_agg(pg_catalog.format('%I', x.attname), ', ' order by x.attnum) + from pg_catalog.jsonb_to_recordset(source_pk) x(attnum int, attname name) + ) + , ( + select pg_catalog.string_agg(pg_catalog.format('new.%I', x.attname), ', ' order by x.attnum) + from pg_catalog.jsonb_to_recordset(source_pk) x(attnum int, attname name) + ) + ) into strict _sql + ; + execute _sql; + + -- revoke all on trigger function from public + select pg_catalog.format + ( $sql$ + revoke all on function %I.%I() from public + $sql$ + , queue_schema, trigger_name + ) into strict _sql + ; + execute _sql; + + -- create the trigger on the source table + select pg_catalog.format + ( $sql$ + create trigger %I + after insert or update + on %I.%I + for each row execute function %I.%I(); + $sql$ + , trigger_name + , source_schema, source_table + , queue_schema, trigger_name + ) into strict _sql + ; + execute _sql; +end; +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_vector_index_exists +create or replace function ai._vectorizer_vector_index_exists +( target_schema name +, target_table name +, indexing jsonb +) returns bool as +$func$ +declare + _implementation text; + _found bool; +begin + _implementation = pg_catalog.jsonb_extract_path_text(indexing, 'implementation'); + if _implementation not in ('diskann', 'hnsw') then + raise exception 'unrecognized index implementation: %s', _implementation; + end if; + + -- look for an index on the target table where the indexed column is the "embedding" column + -- and the index is using the correct implementation + select pg_catalog.count(*) filter + ( where pg_catalog.pg_get_indexdef(i.indexrelid) + ilike pg_catalog.concat('% using ', _implementation, ' %') + ) > 0 into _found + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + inner join pg_index i on (k.oid operator(pg_catalog.=) i.indrelid) + inner join pg_catalog.pg_attribute a + on (k.oid operator(pg_catalog.=) a.attrelid + and a.attname operator(pg_catalog.=) 'embedding' + and a.attnum operator(pg_catalog.=) i.indkey[0] + ) + where n.nspname operator(pg_catalog.=) target_schema + and k.relname operator(pg_catalog.=) target_table + ; + return coalesce(_found, false); +end +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_should_create_vector_index +create or replace function ai._vectorizer_should_create_vector_index(vectorizer ai.vectorizer) returns boolean +as $func$ +declare + _indexing jsonb; + _implementation text; + _create_when_queue_empty bool; + _sql text; + _count bigint; + _min_rows bigint; +begin + -- grab the indexing config + _indexing = pg_catalog.jsonb_extract_path(vectorizer.config, 'indexing'); + if _indexing is null then + return false; + end if; + + -- grab the indexing config's implementation + _implementation = pg_catalog.jsonb_extract_path_text(_indexing, 'implementation'); + -- if implementation is missing or none, exit + if _implementation is null or _implementation = 'none' then + return false; + end if; + + -- see if the index already exists. if so, exit + if ai._vectorizer_vector_index_exists(vectorizer.target_schema, vectorizer.target_table, _indexing) then + return false; + end if; + + -- if flag set, only attempt to create the vector index if the queue table is empty + _create_when_queue_empty = coalesce(pg_catalog.jsonb_extract_path(_indexing, 'create_when_queue_empty')::boolean, true); + if _create_when_queue_empty then + -- count the rows in the queue table + select pg_catalog.format + ( $sql$select pg_catalog.count(1) from %I.%I limit 1$sql$ + , vectorizer.queue_schema + , vectorizer.queue_table + ) into strict _sql + ; + execute _sql into _count; + if _count operator(pg_catalog.>) 0 then + raise notice 'queue for %.% is not empty. skipping vector index creation', vectorizer.target_schema, vectorizer.target_table; + return false; + end if; + end if; + + -- if min_rows has a value + _min_rows = coalesce(pg_catalog.jsonb_extract_path_text(_indexing, 'min_rows')::bigint, 0); + if _min_rows > 0 then + -- count the rows in the target table + select pg_catalog.format + ( $sql$select pg_catalog.count(*) from (select 1 from %I.%I limit %L) x$sql$ + , vectorizer.target_schema + , vectorizer.target_table + , _min_rows + ) into strict _sql + ; + execute _sql into _count; + end if; + + -- if we have met or exceeded min_rows, create the index + return coalesce(_count, 0) >= _min_rows; +end +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_create_vector_index +create or replace function ai._vectorizer_create_vector_index +( target_schema name +, target_table name +, indexing jsonb +) returns void as +$func$ +declare + _key1 int = 1982010642; + _key2 int; + _implementation text; + _with_count bigint; + _with text; + _ext_schema name; + _sql text; +begin + + -- use the target table's oid as the second key for the advisory lock + select k.oid::int into strict _key2 + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + where k.relname operator(pg_catalog.=) target_table + and n.nspname operator(pg_catalog.=) target_schema + ; + + -- try to grab a transaction-level advisory lock specific to the target table + -- if we get it, no one else is building the vector index. proceed + -- if we don't get it, someone else is already working on it. abort + if not pg_catalog.pg_try_advisory_xact_lock(_key1, _key2) then + raise warning 'another process is already building a vector index on %.%', target_schema, target_table; + return; + end if; + + -- double-check that the index doesn't exist now that we're holding the advisory lock + -- nobody likes redundant indexes + if ai._vectorizer_vector_index_exists(target_table, target_schema, indexing) then + raise notice 'the vector index on %.% already exists', target_schema, target_table; + return; + end if; + + _implementation = pg_catalog.jsonb_extract_path_text(indexing, 'implementation'); + case _implementation + when 'diskann' then + select + pg_catalog.count(*) + , pg_catalog.string_agg + ( case w.key + when 'storage_layout' then pg_catalog.format('%s=%L', w.key, w.value) + when 'max_alpha' then pg_catalog.format('%s=%s', w.key, w.value::float8) + else pg_catalog.format('%s=%s', w.key, w.value::int) + end + , ', ' + ) + into strict + _with_count + , _with + from pg_catalog.jsonb_each_text(indexing) w + where w.key in + ( 'storage_layout' + , 'num_neighbors' + , 'search_list_size' + , 'max_alpha' + , 'num_dimensions' + , 'num_bits_per_dimension' + ) + ; + + select pg_catalog.format + ( $sql$create index on %I.%I using diskann (embedding)%s$sql$ + , target_schema, target_table + , case when _with_count operator(pg_catalog.>) 0 + then pg_catalog.format(' with (%s)', _with) + else '' + end + ) into strict _sql; + execute _sql; + when 'hnsw' then + select + pg_catalog.count(*) + , pg_catalog.string_agg(pg_catalog.format('%s=%s', w.key, w.value::int), ', ') + into strict + _with_count + , _with + from pg_catalog.jsonb_each_text(indexing) w + where w.key in ('m', 'ef_construction') + ; + + select n.nspname into strict _ext_schema + from pg_catalog.pg_extension x + inner join pg_catalog.pg_namespace n on (x.extnamespace operator(pg_catalog.=) n.oid) + where x.extname operator(pg_catalog.=) 'vector' + ; + + select pg_catalog.format + ( $sql$create index on %I.%I using hnsw (embedding %I.%s)%s$sql$ + , target_schema, target_table + , _ext_schema + , indexing operator(pg_catalog.->>) 'opclass' + , case when _with_count operator(pg_catalog.>) 0 + then pg_catalog.format(' with (%s)', _with) + else '' + end + ) into strict _sql; + execute _sql; + else + raise exception 'unrecognized index implementation: %s', _implementation; + end case; +end +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- _vectorizer_job +create or replace procedure ai._vectorizer_job +( job_id int default null +, config jsonb default null +) as +$func$ +declare + _vectorizer_id int; + _vec ai.vectorizer%rowtype; + _sql text; + _found bool; + _count bigint; +begin + set local search_path = pg_catalog, pg_temp; + if config is null then + raise exception 'config is null'; + end if; + + -- get the vectorizer id from the config + select pg_catalog.jsonb_extract_path_text(config, 'vectorizer_id')::int + into strict _vectorizer_id + ; + + -- get the vectorizer + select * into strict _vec + from ai.vectorizer v + where v.id operator(pg_catalog.=) _vectorizer_id + ; + + commit; + set local search_path = pg_catalog, pg_temp; + + -- if the conditions are right, create the vectorizer index + if ai._vectorizer_should_create_vector_index(_vec) then + commit; + set local search_path = pg_catalog, pg_temp; + perform ai._vectorizer_create_vector_index + (_vec.target_schema + , _vec.target_table + , pg_catalog.jsonb_extract_path(_vec.config, 'indexing') + ); + end if; + + commit; + set local search_path = pg_catalog, pg_temp; + + -- if there is at least one item in the queue, we need to execute the vectorizer + select pg_catalog.format + ( $sql$ + select true + from %I.%I + for update skip locked + limit 1 + $sql$ + , _vec.queue_schema, _vec.queue_table + ) into strict _sql + ; + execute _sql into _found; + commit; + set local search_path = pg_catalog, pg_temp; + if coalesce(_found, false) is true then + -- count total items in the queue + select pg_catalog.format + ( $sql$select pg_catalog.count(1) from (select 1 from %I.%I limit 501) $sql$ + , _vec.queue_schema, _vec.queue_table + ) into strict _sql + ; + execute _sql into strict _count; + commit; + set local search_path = pg_catalog, pg_temp; + -- for every 50 items in the queue, execute a vectorizer max out at 10 vectorizers + _count = least(pg_catalog.ceil(_count::float8 / 50.0::float8), 10::float8)::bigint; + raise debug 'job_id %: executing % vectorizers...', job_id, _count; + while _count > 0 loop + -- execute the vectorizer + perform ai.execute_vectorizer(_vectorizer_id); + _count = _count - 1; + end loop; + end if; + commit; + set local search_path = pg_catalog, pg_temp; +end +$func$ +language plpgsql security invoker +; + +------------------------------------------------------------------------------- +-- _vectorizer_schedule_job +create or replace function ai._vectorizer_schedule_job +( vectorizer_id int +, scheduling jsonb +) returns bigint as +$func$ +declare + _implementation text; + _sql text; + _extension_schema name; + _job_id bigint; +begin + select pg_catalog.jsonb_extract_path_text(scheduling, 'implementation') + into strict _implementation + ; + case + when _implementation = 'timescaledb' then + -- look up schema/name of the extension for scheduling. may be null + select n.nspname into _extension_schema + from pg_catalog.pg_extension x + inner join pg_catalog.pg_namespace n on (x.extnamespace operator(pg_catalog.=) n.oid) + where x.extname operator(pg_catalog.=) _implementation + ; + if _extension_schema is null then + raise exception 'timescaledb extension not found'; + end if; + when _implementation = 'none' then + return null; + else + raise exception 'scheduling implementation not recognized'; + end case; + + -- schedule the job using the implementation chosen + case _implementation + when 'timescaledb' then + -- schedule the work proc with timescaledb background jobs + select pg_catalog.format + ( $$select %I.add_job('ai._vectorizer_job'::regproc, %s, config=>%L)$$ + , _extension_schema + , ( -- gather up the arguments + select string_agg + ( pg_catalog.format('%s=>%L', s.key, s.value) + , ', ' + order by x.ord + ) + from pg_catalog.jsonb_each_text(scheduling) s + inner join + unnest(array['schedule_interval', 'initial_start', 'fixed_schedule', 'timezone']) with ordinality x(key, ord) + on (s.key = x.key) + ) + , pg_catalog.jsonb_build_object('vectorizer_id', vectorizer_id)::text + ) into strict _sql + ; + execute _sql into strict _job_id; + end case; + return _job_id; +end +$func$ +language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; diff --git a/projects/extension/sql/idempotent/012-vectorizer-api.sql b/projects/extension/sql/idempotent/012-vectorizer-api.sql new file mode 100644 index 000000000..e804e49e1 --- /dev/null +++ b/projects/extension/sql/idempotent/012-vectorizer-api.sql @@ -0,0 +1,486 @@ + + +------------------------------------------------------------------------------- +-- execute_vectorizer +create or replace function ai.execute_vectorizer(vectorizer_id int) returns void +as $python$ + #ADD-PYTHON-LIB-DIR + import ai.vectorizer + ai.vectorizer.execute_vectorizer(plpy, vectorizer_id) +$python$ +language plpython3u volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- create_vectorizer +create or replace function ai.create_vectorizer +( source regclass +, embedding jsonb +, chunking jsonb +, indexing jsonb default ai.indexing_diskann() +, formatting jsonb default ai.formatting_python_template() +, scheduling jsonb default ai.scheduling_timescaledb() +, processing jsonb default ai.processing_default() +, target_schema name default null +, target_table name default null +, view_schema name default null +, view_name name default null +, queue_schema name default null +, queue_table name default null +, grant_to name[] default array['tsdbadmin'] +, enqueue_existing bool default true +) returns int +as $func$ +declare + _missing_roles name[]; + _source_table name; + _source_schema name; + _trigger_name name; + _is_owner bool; + _dimensions int; + _source_pk jsonb; + _vectorizer_id int; + _sql text; + _job_id bigint; +begin + -- make sure all the roles listed in _grant_to exist + if grant_to is not null then + select + pg_catalog.array_agg(r) filter (where pg_catalog.to_regrole(r) is null) -- missing + , pg_catalog.array_agg(r) filter (where pg_catalog.to_regrole(r) is not null) -- real roles + into strict + _missing_roles + , grant_to + from pg_catalog.unnest(grant_to) r + ; + if pg_catalog.array_length(_missing_roles, 1) > 0 then + raise warning 'one or more grant_to roles do not exist: %', _missing_roles; + end if; + end if; + + -- get source table name and schema name + select k.relname, n.nspname, k.relowner operator(pg_catalog.=) current_user::regrole + into strict _source_table, _source_schema, _is_owner + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + where k.oid operator(pg_catalog.=) source + ; + -- TODO: consider allowing (in)direct members of the role that owns the source table + if not _is_owner then + raise exception 'only the owner of the source table may create a vectorizer on it'; + end if; + + select (embedding operator(pg_catalog.->) 'dimensions')::int into _dimensions; + if _dimensions is null then + raise exception '_dimensions argument is required'; + end if; + + -- get the source table's primary key definition + select ai._vectorizer_source_pk(source) into strict _source_pk; + if _source_pk is null or pg_catalog.jsonb_array_length(_source_pk) = 0 then + raise exception 'source table must have a primary key constraint'; + end if; + + _vectorizer_id = pg_catalog.nextval('ai.vectorizer_id_seq'::pg_catalog.regclass); + target_schema = coalesce(target_schema, _source_schema); + target_table = coalesce(target_table, pg_catalog.concat(_source_table, '_embedding_store')); + view_schema = coalesce(view_schema, _source_schema); + view_name = coalesce(view_name, pg_catalog.concat(_source_table, '_embedding')); + _trigger_name = pg_catalog.concat('_vectorizer_src_trg_', _vectorizer_id); + queue_schema = coalesce(queue_schema, 'ai'); + queue_table = coalesce(queue_table, pg_catalog.concat('_vectorizer_q_', _vectorizer_id)); + + -- make sure target table name is available + if pg_catalog.to_regclass(pg_catalog.format('%I.%I', target_schema, target_table)) is not null then + raise exception 'an object named %.% already exists. specify an alternate target_table explicitly', target_schema, target_schema; + end if; + + -- make sure queue table name is available + if pg_catalog.to_regclass(pg_catalog.format('%I.%I', queue_schema, queue_table)) is not null then + raise exception 'an object named %.% already exists. specify an alternate queue_table explicitly', queue_schema, queue_table; + end if; + + -- make sure view name is available + if pg_catalog.to_regclass(pg_catalog.format('%I.%I', view_schema, view_name)) is not null then + raise exception 'an object named %.% already exists. specify an alternate view_name explicitly', view_schema, view_name; + end if; + + -- validate the embedding config + perform ai._validate_embedding(embedding); + + -- validate the chunking config + perform ai._validate_chunking(chunking, _source_schema, _source_table); + + -- validate the indexing config + perform ai._validate_indexing(indexing); + + -- validate the formatting config + perform ai._validate_formatting(formatting, _source_schema, _source_table); + + -- validate the scheduling config + perform ai._validate_scheduling(scheduling); + + -- validate the processing config + perform ai._validate_processing(processing); + + -- if scheduling is none then indexing must also be none + if scheduling operator(pg_catalog.->>) 'implementation' = 'none' + and indexing operator(pg_catalog.->>) 'implementation' != 'none' then + raise exception 'automatic indexing is not supported without scheduling. set indexing=>ai.indexing_none() when scheduling=>ai.scheduling_none()'; + end if; + + -- grant select to source table + perform ai._vectorizer_grant_to_source + ( _source_schema + , _source_table + , grant_to + ); + + -- create the target table + perform ai._vectorizer_create_target_table + ( _source_schema + , _source_table + , _source_pk + , target_schema + , target_table + , _dimensions + , grant_to + ); + + -- create queue table + perform ai._vectorizer_create_queue_table + ( queue_schema + , queue_table + , _source_pk + , grant_to + ); + + -- create trigger on source table to populate queue + perform ai._vectorizer_create_source_trigger + ( _trigger_name + , queue_schema + , queue_table + , _source_schema + , _source_table + , _source_pk + ); + + -- create view + perform ai._vectorizer_create_view + ( view_schema + , view_name + , _source_schema + , _source_table + , _source_pk + , target_schema + , target_table + , grant_to + ); + + -- schedule the async ext job + select ai._vectorizer_schedule_job + (_vectorizer_id + , scheduling + ) into _job_id + ; + if _job_id is not null then + scheduling = pg_catalog.jsonb_insert(scheduling, array['job_id'], to_jsonb(_job_id)); + end if; + + insert into ai.vectorizer + ( id + , source_schema + , source_table + , source_pk + , target_schema + , target_table + , view_schema + , view_name + , trigger_name + , queue_schema + , queue_table + , config + ) + values + ( _vectorizer_id + , _source_schema + , _source_table + , _source_pk + , target_schema + , target_table + , view_schema + , view_name + , _trigger_name + , queue_schema + , queue_table + , pg_catalog.jsonb_build_object + ( 'version', '@extversion@' + , 'embedding', embedding + , 'chunking', chunking + , 'indexing', indexing + , 'formatting', formatting + , 'scheduling', scheduling + , 'processing', processing + ) + ); + + -- grant select on the vectorizer table + perform ai._vectorizer_grant_to_vectorizer(grant_to); + + -- insert into queue any existing rows from source table + if enqueue_existing is true then + select pg_catalog.format + ( $sql$ + insert into %I.%I (%s) + select %s + from %I.%I x + ; + $sql$ + , queue_schema, queue_table + , ( + select pg_catalog.string_agg(pg_catalog.format('%I', x.attname), ', ' order by x.attnum) + from pg_catalog.jsonb_to_recordset(_source_pk) x(attnum int, attname name) + ) + , ( + select pg_catalog.string_agg(pg_catalog.format('x.%I', x.attname), ', ' order by x.attnum) + from pg_catalog.jsonb_to_recordset(_source_pk) x(attnum int, attname name) + ) + , _source_schema, _source_table + ) into strict _sql + ; + execute _sql; + end if; + return _vectorizer_id; +end +$func$ language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- disable_vectorizer_schedule +create or replace function ai.disable_vectorizer_schedule(vectorizer_id int) returns void +as $func$ +declare + _vec ai.vectorizer%rowtype; + _schedule jsonb; + _job_id bigint; + _sql text; +begin + select * into strict _vec + from ai.vectorizer v + where v.id operator(pg_catalog.=) vectorizer_id + ; + -- enable the scheduled job if exists + _schedule = _vec.config operator(pg_catalog.->) 'scheduling'; + if _schedule is not null then + case _schedule operator(pg_catalog.->>) 'implementation' + when 'none' then -- ok + when 'timescaledb' then + _job_id = (_schedule operator(pg_catalog.->) 'job_id')::bigint; + select pg_catalog.format + ( $$select %I.alter_job(job_id, scheduled=>false) from timescaledb_information.jobs where job_id = %L$$ + , n.nspname + , _job_id + ) into _sql + from pg_catalog.pg_extension x + inner join pg_catalog.pg_namespace n on (x.extnamespace = n.oid) + where x.extname = 'timescaledb' + ; + if _sql is not null then + execute _sql; + end if; + end case; + end if; +end; +$func$ language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- enable_vectorizer_schedule +create or replace function ai.enable_vectorizer_schedule(vectorizer_id int) returns void +as $func$ +declare + _vec ai.vectorizer%rowtype; + _schedule jsonb; + _job_id bigint; + _sql text; +begin + select * into strict _vec + from ai.vectorizer v + where v.id operator(pg_catalog.=) vectorizer_id + ; + -- enable the scheduled job if exists + _schedule = _vec.config operator(pg_catalog.->) 'scheduling'; + if _schedule is not null then + case _schedule operator(pg_catalog.->>) 'implementation' + when 'none' then -- ok + when 'timescaledb' then + _job_id = (_schedule operator(pg_catalog.->) 'job_id')::bigint; + select pg_catalog.format + ( $$select %I.alter_job(job_id, scheduled=>true) from timescaledb_information.jobs where job_id = %L$$ + , n.nspname + , _job_id + ) into _sql + from pg_catalog.pg_extension x + inner join pg_catalog.pg_namespace n on (x.extnamespace = n.oid) + where x.extname = 'timescaledb' + ; + if _sql is not null then + execute _sql; + end if; + end case; + end if; +end; +$func$ language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- drop_vectorizer +create or replace function ai.drop_vectorizer(vectorizer_id int) returns void +as $func$ +/* drop_vectorizer +This function does the following: +1. deletes the scheduled job if any +2. drops the trigger from the source table +3. drops the trigger function +4. drops the queue table +5. deletes the vectorizer row + +It does NOT: +1. drop the target table containing the embeddings +2. drop the view joining the target and source +*/ +declare + _vec ai.vectorizer%rowtype; + _schedule jsonb; + _job_id bigint; + _trigger pg_catalog.pg_trigger%rowtype; + _sql text; +begin + -- grab the vectorizer we need to drop + select v.* into strict _vec + from ai.vectorizer v + where v.id operator(pg_catalog.=) vectorizer_id + ; + + -- delete the scheduled job if exists + _schedule = _vec.config operator(pg_catalog.->) 'scheduling'; + if _schedule is not null then + case _schedule operator(pg_catalog.->>) 'implementation' + when 'none' then -- ok + when 'timescaledb' then + _job_id = (_schedule operator(pg_catalog.->) 'job_id')::bigint; + select pg_catalog.format + ( $$select %I.delete_job(job_id) from timescaledb_information.jobs where job_id = %L$$ + , n.nspname + , _job_id + ) into _sql + from pg_catalog.pg_extension x + inner join pg_catalog.pg_namespace n on (x.extnamespace = n.oid) + where x.extname = 'timescaledb' + ; + if _sql is not null then + execute _sql; + end if; + end case; + end if; + + -- look up the trigger so we can find the function/procedure backing the trigger + select * into strict _trigger + from pg_catalog.pg_trigger g + where g.tgname operator(pg_catalog.=) _vec.trigger_name + and g.tgrelid operator(pg_catalog.=) pg_catalog.format('%I.%I', _vec.source_schema, _vec.source_table)::regclass::oid + ; + + -- drop the trigger on the source table + select pg_catalog.format + ( $sql$drop trigger %I on %I.%I$sql$ + , _trigger.tgname + , _vec.source_schema + , _vec.source_table + ) into strict _sql + ; + execute _sql; + + -- drop the function/procedure backing the trigger + select pg_catalog.format + ( $sql$drop %s %I.%I()$sql$ + , case p.prokind when 'f' then 'function' when 'p' then 'procedure' end + , n.nspname + , p.proname + ) into strict _sql + from pg_catalog.pg_proc p + inner join pg_catalog.pg_namespace n on (n.oid operator(pg_catalog.=) p.pronamespace) + where p.oid operator(pg_catalog.=) _trigger.tgfoid + ; + execute _sql; + + -- drop the queue table + select pg_catalog.format + ( $sql$drop table %I.%I$sql$ + , n.nspname + , k.relname + ) into strict _sql + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + where k.relname operator(pg_catalog.=) _vec.queue_table + and n.nspname operator(pg_catalog.=) _vec.queue_schema + ; + execute _sql; + + -- delete the vectorizer row + delete from ai.vectorizer v + where v.id operator(pg_catalog.=) vectorizer_id + ; + +end; +$func$ language plpgsql volatile security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- vectorizer_queue_pending +create or replace function ai.vectorizer_queue_pending(vectorizer_id int) returns bigint +as $func$ +declare + _queue_schema name; + _queue_table name; + _sql text; + _queue_depth bigint; +begin + select v.queue_schema, v.queue_table into _queue_schema, _queue_table + from ai.vectorizer v + where v.id operator(pg_catalog.=) vectorizer_id + ; + if _queue_schema is null or _queue_table is null then + raise exception 'vectorizer has no queue table'; + end if; + select format + ( $sql$select count(*) from %I.%I$sql$ + , _queue_schema, _queue_table + ) into strict _sql + ; + execute _sql into strict _queue_depth; + return _queue_depth; +end; +$func$ language plpgsql stable security invoker +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- vectorizer_status +create or replace view ai.vectorizer_status as +select + v.id +, pg_catalog.format('%I.%I', v.source_schema, v.source_table) as source_table +, pg_catalog.format('%I.%I', v.target_schema, v.target_table) as target_table +, pg_catalog.format('%I.%I', v.view_schema, v.view_name) as "view" +, case when v.queue_table is not null then + ai.vectorizer_queue_pending(v.id) + else 0 + end as pending_items +from ai.vectorizer v +; diff --git a/projects/extension/sql/idempotent/999-privileges.sql b/projects/extension/sql/idempotent/999-privileges.sql new file mode 100644 index 000000000..e9693c312 --- /dev/null +++ b/projects/extension/sql/idempotent/999-privileges.sql @@ -0,0 +1,172 @@ + +------------------------------------------------------------------------------- +-- grant_ai_usage +create or replace function ai.grant_ai_usage(to_user name, admin bool default false) returns void +as $func$ +declare + _sql text; +begin + -- schema + select pg_catalog.format + ( 'grant %s on schema ai to %I%s' + , case when admin then 'all privileges' else 'usage, create' end + , to_user + , case when admin then ' with grant option' else '' end + ) into strict _sql + ; + raise debug '%', _sql; + execute _sql; + + -- tables, sequences, and views + for _sql in + ( + select pg_catalog.format + ( 'grant %s on %s %I.%I to %I%s' + , case + when admin then 'all privileges' + else + case + when k.relkind in ('r', 'p') then 'select, insert, update, delete' + when k.relkind in ('S') then 'usage, select, update' + when k.relkind in ('v') then 'select' + end + end + , case + when k.relkind in ('r', 'p') then 'table' + when k.relkind in ('S') then 'sequence' + when k.relkind in ('v') then '' + end + , n.nspname + , k.relname + , to_user + , case when admin then ' with grant option' else '' end + ) + from pg_catalog.pg_depend d + inner join pg_catalog.pg_extension e on (d.refobjid operator(pg_catalog.=) e.oid) + inner join pg_catalog.pg_class k on (d.objid operator(pg_catalog.=) k.oid) + inner join pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + where d.refclassid operator(pg_catalog.=) 'pg_catalog.pg_extension'::pg_catalog.regclass + and d.deptype operator(pg_catalog.=) 'e' + and e.extname operator(pg_catalog.=) 'ai' + and k.relkind in ('r', 'p', 'S', 'v') -- tables, sequences, and views + and (admin, n.nspname, k.relname) not in + ( + (false, 'ai', 'migration') -- only admins get any access to this table + ) + order by n.nspname, k.relname + ) + loop + raise debug '%', _sql; + execute _sql; + end loop; + + -- procedures and functions + for _sql in + ( + select pg_catalog.format + ( 'grant %s on %s %I.%I(%s) to %I%s' + , case when admin then 'all privileges' else 'execute' end + , case k.prokind + when 'f' then 'function' + when 'p' then 'procedure' + end + , n.nspname + , k.proname + , pg_catalog.pg_get_function_identity_arguments(k.oid) + , to_user + , case when admin then ' with grant option' else '' end + ) + from pg_catalog.pg_depend d + inner join pg_catalog.pg_extension e on (d.refobjid operator(pg_catalog.=) e.oid) + inner join pg_catalog.pg_proc k on (d.objid operator(pg_catalog.=) k.oid) + inner join pg_namespace n on (k.pronamespace operator(pg_catalog.=) n.oid) + where d.refclassid operator(pg_catalog.=) 'pg_catalog.pg_extension'::pg_catalog.regclass + and d.deptype operator(pg_catalog.=) 'e' + and e.extname operator(pg_catalog.=) 'ai' + and k.prokind in ('f', 'p') + and case + when k.proname operator(pg_catalog.=) 'grant_ai_usage' then admin -- only admins get this function + else true + end + ) + loop + raise debug '%', _sql; + execute _sql; + end loop; +end +$func$ language plpgsql volatile +security invoker -- gotta have privs to give privs +set search_path to pg_catalog, pg_temp +; + +------------------------------------------------------------------------------- +-- grant admin usage to session user and pg_database_owner +select ai.grant_ai_usage(pg_catalog."session_user"(), admin=>true); +select ai.grant_ai_usage('pg_database_owner', admin=>true); + +------------------------------------------------------------------------------- +-- revoke everything from public +do language plpgsql $func$ +declare + _sql text; +begin + -- schema + revoke all privileges on schema ai from public; + + -- tables, sequences, and views + for _sql in + ( + select pg_catalog.format + ( 'revoke all privileges on %s %I.%I from public' + , case + when k.relkind in ('r', 'p') then 'table' + when k.relkind in ('S') then 'sequence' + when k.relkind in ('v') then '' + end + , n.nspname + , k.relname + ) + from pg_catalog.pg_depend d + inner join pg_catalog.pg_extension e on (d.refobjid operator(pg_catalog.=) e.oid) + inner join pg_catalog.pg_class k on (d.objid operator(pg_catalog.=) k.oid) + inner join pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + where d.refclassid operator(pg_catalog.=) 'pg_catalog.pg_extension'::pg_catalog.regclass + and d.deptype operator(pg_catalog.=) 'e' + and e.extname operator(pg_catalog.=) 'ai' + and k.relkind in ('r', 'p', 'S', 'v') -- tables, sequences, and views + order by n.nspname, k.relname + ) + loop + raise debug '%', _sql; + execute _sql; + end loop; + + -- procedures and functions + for _sql in + ( + select pg_catalog.format + ( 'revoke all privileges on %s %I.%I(%s) from public' + , case k.prokind + when 'f' then 'function' + when 'p' then 'procedure' + end + , n.nspname + , k.proname + , pg_catalog.pg_get_function_identity_arguments(k.oid) + ) + from pg_catalog.pg_depend d + inner join pg_catalog.pg_extension e on (d.refobjid operator(pg_catalog.=) e.oid) + inner join pg_catalog.pg_proc k on (d.objid operator(pg_catalog.=) k.oid) + inner join pg_namespace n on (k.pronamespace operator(pg_catalog.=) n.oid) + where d.refclassid operator(pg_catalog.=) 'pg_catalog.pg_extension'::pg_catalog.regclass + and d.deptype operator(pg_catalog.=) 'e' + and e.extname operator(pg_catalog.=) 'ai' + and k.prokind in ('f', 'p') + ) + loop + raise debug '%', _sql; + execute _sql; + end loop; +end +$func$; + diff --git a/projects/extension/sql/idempotent/README.md b/projects/extension/sql/idempotent/README.md new file mode 100644 index 000000000..9fcdaecc8 --- /dev/null +++ b/projects/extension/sql/idempotent/README.md @@ -0,0 +1,8 @@ +# Idempotent SQL Files + +This directory contains SQL files which are idempotent. Any code in these +scripts will be executed on EVERY install and/or upgrade. Therefore, it must be +safe to (re)run multiple times. A good rule of thumb is that `CREATE OR REPLACE` +statements are safe in these files. + +The files are executed in alphanumeric order by filename. diff --git a/projects/extension/sql/incremental/001-vectorizer.sql b/projects/extension/sql/incremental/001-vectorizer.sql new file mode 100644 index 000000000..2605ab31c --- /dev/null +++ b/projects/extension/sql/incremental/001-vectorizer.sql @@ -0,0 +1,28 @@ + +create table ai.vectorizer +( id int not null primary key generated by default as identity +, source_schema name not null +, source_table name not null +, source_pk jsonb not null +, target_schema name not null +, target_table name not null +, view_schema name not null +, view_name name not null +, trigger_name name not null +, queue_schema name +, queue_table name +, config jsonb not null +, unique (target_schema, target_table) +); +perform pg_catalog.pg_extension_config_dump('ai.vectorizer'::pg_catalog.regclass, ''); +perform pg_catalog.pg_extension_config_dump('ai.vectorizer_id_seq'::pg_catalog.regclass, ''); + +create table ai.vectorizer_errors +( id int not null references ai.vectorizer (id) on delete cascade +, message text +, details jsonb +, recorded timestamptz not null default now() +); +create index on ai.vectorizer_errors (id, recorded); +perform pg_catalog.pg_extension_config_dump('ai.vectorizer'::pg_catalog.regclass, ''); + diff --git a/projects/extension/sql/incremental/README.md b/projects/extension/sql/incremental/README.md new file mode 100644 index 000000000..284e9dd8d --- /dev/null +++ b/projects/extension/sql/incremental/README.md @@ -0,0 +1,7 @@ +# Incremental SQL Files + +This directory contains SQL files which are incremental. Any code in these +scripts will be executed on EXACTLY once regardless of install/upgrade path. +These are typically referred to as database migrations. + +The files are executed in alphanumeric order by filename. diff --git a/projects/extension/sql/migration.sql b/projects/extension/sql/migration.sql new file mode 100644 index 000000000..942ac73a2 --- /dev/null +++ b/projects/extension/sql/migration.sql @@ -0,0 +1,26 @@ +------------------------------------------------------------------------------- +-- {migration_name} +do $outer_migration_block$ /*{migration_name}*/ +declare + _sql text; + _migration record; + _migration_name text = $migration_name${migration_name}$migration_name$; + _migration_body text = +$migration_body$ +{migration_body} +$migration_body$; +begin + select * into _migration from ai.migration where "name" operator(pg_catalog.=) _migration_name; + if _migration is not null then + raise notice 'migration %s already applied. skipping.', _migration_name; + if _migration.body operator(pg_catalog.!=) _migration_body then + raise warning 'the contents of migration "%s" have changed', _migration_name; + end if; + return; + end if; + _sql = pg_catalog.format(E'do /*%s*/ $migration_body$\nbegin\n%s\nend;\n$migration_body$;', _migration_name, _migration_body); + execute _sql; + insert into ai.migration ("name", body, applied_at_version) + values (_migration_name, _migration_body, $version${version}$version$); +end; +$outer_migration_block$; \ No newline at end of file diff --git a/projects/extension/tests/__init__.py b/projects/extension/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/projects/extension/tests/conftest.py b/projects/extension/tests/conftest.py new file mode 100644 index 000000000..64af17ca4 --- /dev/null +++ b/projects/extension/tests/conftest.py @@ -0,0 +1,63 @@ +import dotenv +import psycopg +import pytest + +dotenv.load_dotenv() + + +def does_test_user_exist(cur: psycopg.Cursor) -> bool: + cur.execute(""" + select count(*) > 0 + from pg_catalog.pg_roles + where rolname = 'test' + """) + return cur.fetchone()[0] + + +def create_test_user(cur: psycopg.Cursor) -> None: + if not does_test_user_exist(cur): + cur.execute("create user test password 'test'") + + +def does_test_db_exist(cur: psycopg.Cursor) -> bool: + cur.execute(""" + select count(*) > 0 + from pg_catalog.pg_database + where datname = 'test' + """) + return cur.fetchone()[0] + + +def drop_test_db(cur: psycopg.Cursor) -> None: + cur.execute( + "select pg_terminate_backend(pid) from pg_stat_activity where datname = 'test'" + ) + cur.execute("drop database test with (force)") + + +def create_test_db(cur: psycopg.Cursor) -> None: + if does_test_db_exist(cur): + drop_test_db(cur) + cur.execute("create database test owner test") + + +@pytest.fixture(scope="session", autouse=True) +def set_up_test_db() -> None: + # create a test user and test database owned by the test user + with psycopg.connect( + "postgres://postgres@127.0.0.1:5432/postgres", autocommit=True + ) as con: + with con.cursor() as cur: + create_test_user(cur) + create_test_db(cur) + # grant some things to the test user in the test database + with psycopg.connect( + "postgres://postgres@127.0.0.1:5432/test", autocommit=True + ) as con: + with con.cursor() as cur: + cur.execute("grant execute on function pg_read_binary_file(text) to test") + cur.execute("grant pg_read_server_files to test") + # use the test user to create the extension in the test database + with psycopg.connect("postgres://test@127.0.0.1:5432/test") as con: + with con.cursor() as cur: + cur.execute("create extension ai cascade") diff --git a/projects/extension/tests/contents/__init__.py b/projects/extension/tests/contents/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/projects/extension/tests/contents/init.sql b/projects/extension/tests/contents/init.sql new file mode 100644 index 000000000..670055929 --- /dev/null +++ b/projects/extension/tests/contents/init.sql @@ -0,0 +1,12 @@ + +drop database if exists toc with (force); +create database toc; +\c toc + +create extension ai cascade; + +-- display the contents of the extension +\dx+ ai + +-- verbose display of the objects in the ai schema +\d+ ai.* diff --git a/projects/extension/tests/contents/output.expected b/projects/extension/tests/contents/output.expected new file mode 100644 index 000000000..9daa51ddb --- /dev/null +++ b/projects/extension/tests/contents/output.expected @@ -0,0 +1,172 @@ +DROP DATABASE +CREATE DATABASE +CREATE EXTENSION + Objects in extension "ai" + Object description +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- + function ai.anthropic_generate(text,jsonb,integer,text,text,double precision,integer,text,text,text[],double precision,jsonb,jsonb,integer,double precision) + function ai.chunking_character_text_splitter(name,integer,integer,text,boolean) + function ai.chunking_recursive_character_text_splitter(name,integer,integer,text[],boolean) + function ai.cohere_chat_complete(text,text,text,text,jsonb,text,text,jsonb,boolean,jsonb,text,double precision,integer,integer,integer,double precision,integer,text[],double precision,double precision,jsonb,jsonb,boolean) + function ai.cohere_classify_simple(text,text[],text,jsonb,text) + function ai.cohere_classify(text,text[],text,jsonb,text) + function ai.cohere_detokenize(text,integer[],text) + function ai.cohere_embed(text,text,text,text,text) + function ai.cohere_list_models(text,text,boolean) + function ai.cohere_rerank_simple(text,text,jsonb,text,integer,integer) + function ai.cohere_rerank(text,text,jsonb,text,integer,text[],boolean,integer) + function ai.cohere_tokenize(text,text,text) + function ai.create_vectorizer(regclass,jsonb,jsonb,jsonb,jsonb,jsonb,jsonb,name,name,name,name,name,name,name[],boolean) + function ai.disable_vectorizer_schedule(integer) + function ai.drop_vectorizer(integer) + function ai.embedding_openai(text,integer,text,text) + function ai.enable_vectorizer_schedule(integer) + function ai.execute_vectorizer(integer) + function ai.formatting_python_template(text) + function ai.grant_ai_usage(name,boolean) + function ai.indexing_diskann(integer,text,integer,integer,double precision,integer,integer,boolean) + function ai.indexing_hnsw(integer,text,integer,integer,boolean) + function ai.indexing_none() + function ai.ollama_chat_complete(text,jsonb,text,double precision,jsonb) + function ai.ollama_embed(text,text,text,double precision,jsonb) + function ai.ollama_generate(text,text,text,bytea[],double precision,jsonb,text,text,integer[]) + function ai.ollama_list_models(text) + function ai.ollama_ps(text) + function ai.openai_chat_complete_simple(text,text) + function ai.openai_chat_complete(text,jsonb,text,text,double precision,jsonb,boolean,integer,integer,integer,double precision,jsonb,integer,text,double precision,double precision,jsonb,jsonb,text) + function ai.openai_detokenize(text,integer[]) + function ai.openai_embed(text,integer[],text,text,integer,text) + function ai.openai_embed(text,text,text,text,integer,text) + function ai.openai_embed(text,text[],text,text,integer,text) + function ai.openai_list_models(text,text) + function ai.openai_moderate(text,text,text,text) + function ai.openai_tokenize(text,text) + function ai.processing_default(integer,integer) + function ai.scheduling_none() + function ai.scheduling_timescaledb(interval,timestamp with time zone,boolean,text) + function ai._validate_chunking(jsonb,name,name) + function ai._validate_embedding(jsonb) + function ai._validate_formatting(jsonb,name,name) + function ai._validate_formatting_python_template(jsonb,name,name) + function ai._validate_indexing_diskann(jsonb) + function ai._validate_indexing_hnsw(jsonb) + function ai._validate_indexing(jsonb) + function ai._validate_processing(jsonb) + function ai._validate_scheduling(jsonb) + function ai._vectorizer_create_queue_table(name,name,jsonb,name[]) + function ai._vectorizer_create_source_trigger(name,name,name,name,name,jsonb) + function ai._vectorizer_create_target_table(name,name,jsonb,name,name,integer,name[]) + function ai._vectorizer_create_vector_index(name,name,jsonb) + function ai._vectorizer_create_view(name,name,name,name,jsonb,name,name,name[]) + function ai._vectorizer_grant_to_source(name,name,name[]) + function ai._vectorizer_grant_to_vectorizer(name[]) + function ai._vectorizer_job(integer,jsonb) + function ai.vectorizer_queue_pending(integer) + function ai._vectorizer_schedule_job(integer,jsonb) + function ai._vectorizer_should_create_vector_index(ai.vectorizer) + function ai._vectorizer_source_pk(regclass) + function ai._vectorizer_vector_index_exists(name,name,jsonb) + sequence ai.vectorizer_id_seq + table ai.migration + table ai.vectorizer + table ai.vectorizer_errors + view ai.vectorizer_status +(67 rows) + + Table "ai.migration" + Column | Type | Collation | Nullable | Default | Storage | Compression | Stats target | Description +--------------------+--------------------------+-----------+----------+-------------------+----------+-------------+--------------+------------- + name | text | | not null | | extended | | | + applied_at_version | text | | not null | | extended | | | + applied_at | timestamp with time zone | | not null | clock_timestamp() | plain | | | + body | text | | not null | | extended | | | +Indexes: + "migration_pkey" PRIMARY KEY, btree (name) +Access method: heap + + Index "ai.migration_pkey" + Column | Type | Key? | Definition | Storage | Stats target +--------+------+------+------------+----------+-------------- + name | text | yes | name | extended | +primary key, btree, for table "ai.migration" + + Table "ai.vectorizer" + Column | Type | Collation | Nullable | Default | Storage | Compression | Stats target | Description +---------------+---------+-----------+----------+----------------------------------+----------+-------------+--------------+------------- + id | integer | | not null | generated by default as identity | plain | | | + source_schema | name | | not null | | plain | | | + source_table | name | | not null | | plain | | | + source_pk | jsonb | | not null | | extended | | | + target_schema | name | | not null | | plain | | | + target_table | name | | not null | | plain | | | + view_schema | name | | not null | | plain | | | + view_name | name | | not null | | plain | | | + trigger_name | name | | not null | | plain | | | + queue_schema | name | | | | plain | | | + queue_table | name | | | | plain | | | + config | jsonb | | not null | | extended | | | +Indexes: + "vectorizer_pkey" PRIMARY KEY, btree (id) + "vectorizer_target_schema_target_table_key" UNIQUE CONSTRAINT, btree (target_schema, target_table) +Referenced by: + TABLE "ai.vectorizer_errors" CONSTRAINT "vectorizer_errors_id_fkey" FOREIGN KEY (id) REFERENCES ai.vectorizer(id) ON DELETE CASCADE +Access method: heap + + Table "ai.vectorizer_errors" + Column | Type | Collation | Nullable | Default | Storage | Compression | Stats target | Description +----------+--------------------------+-----------+----------+---------+----------+-------------+--------------+------------- + id | integer | | not null | | plain | | | + message | text | | | | extended | | | + details | jsonb | | | | extended | | | + recorded | timestamp with time zone | | not null | now() | plain | | | +Indexes: + "vectorizer_errors_id_recorded_idx" btree (id, recorded) +Foreign-key constraints: + "vectorizer_errors_id_fkey" FOREIGN KEY (id) REFERENCES ai.vectorizer(id) ON DELETE CASCADE +Access method: heap + + Index "ai.vectorizer_errors_id_recorded_idx" + Column | Type | Key? | Definition | Storage | Stats target +----------+--------------------------+------+------------+---------+-------------- + id | integer | yes | id | plain | + recorded | timestamp with time zone | yes | recorded | plain | +btree, for table "ai.vectorizer_errors" + + Sequence "ai.vectorizer_id_seq" + Type | Start | Minimum | Maximum | Increment | Cycles? | Cache +---------+-------+---------+------------+-----------+---------+------- + integer | 1 | 1 | 2147483647 | 1 | no | 1 +Sequence for identity column: ai.vectorizer.id + + Index "ai.vectorizer_pkey" + Column | Type | Key? | Definition | Storage | Stats target +--------+---------+------+------------+---------+-------------- + id | integer | yes | id | plain | +primary key, btree, for table "ai.vectorizer" + + View "ai.vectorizer_status" + Column | Type | Collation | Nullable | Default | Storage | Description +---------------+---------+-----------+----------+---------+----------+------------- + id | integer | | | | plain | + source_table | text | C | | | extended | + target_table | text | C | | | extended | + view | text | C | | | extended | + pending_items | bigint | | | | plain | +View definition: + SELECT id, + format('%I.%I'::text, source_schema, source_table) AS source_table, + format('%I.%I'::text, target_schema, target_table) AS target_table, + format('%I.%I'::text, view_schema, view_name) AS view, + CASE + WHEN queue_table IS NOT NULL THEN ai.vectorizer_queue_pending(id) + ELSE 0::bigint + END AS pending_items + FROM ai.vectorizer v; + + Index "ai.vectorizer_target_schema_target_table_key" + Column | Type | Key? | Definition | Storage | Stats target +---------------+---------+------+---------------+---------+-------------- + target_schema | cstring | yes | target_schema | plain | + target_table | cstring | yes | target_table | plain | +unique, btree, for table "ai.vectorizer" + diff --git a/projects/extension/tests/contents/test_contents.py b/projects/extension/tests/contents/test_contents.py new file mode 100644 index 000000000..c5d0c1f5a --- /dev/null +++ b/projects/extension/tests/contents/test_contents.py @@ -0,0 +1,52 @@ +import os +import subprocess +from pathlib import Path + +import pytest + + +# skip tests in this module if disabled +enable_contents_tests = os.getenv("ENABLE_CONTENTS_TESTS") +if enable_contents_tests == "0": + pytest.skip(allow_module_level=True) + + +def db_url(user: str, dbname: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/{dbname}" + + +def where_am_i() -> str: + if "WHERE_AM_I" in os.environ and os.environ["WHERE_AM_I"] == "docker": + return "docker" + return "host" + + +def docker_dir() -> str: + return "/pgai/projects/extension/tests/contents" + + +def host_dir() -> Path: + return Path(__file__).parent.absolute() + + +def init() -> None: + cmd = " ".join( + [ + "psql", + f'''-d "{db_url("postgres", "postgres")}"''', + "-v ON_ERROR_STOP=1", + "-X", + f"-o {docker_dir()}/output.actual", + f"-f {docker_dir()}/init.sql", + ] + ) + if where_am_i() != "docker": + cmd = f"docker exec -w {docker_dir()} pgai {cmd}" + subprocess.run(cmd, check=True, shell=True, env=os.environ, cwd=str(host_dir())) + + +def test_contents() -> None: + init() + actual = host_dir().joinpath("output.actual").read_text() + expected = host_dir().joinpath("output.expected").read_text() + assert actual == expected diff --git a/projects/extension/tests/dump_restore/__init__.py b/projects/extension/tests/dump_restore/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/projects/extension/tests/dump_restore/after.sql b/projects/extension/tests/dump_restore/after.sql new file mode 100644 index 000000000..3abf292bf --- /dev/null +++ b/projects/extension/tests/dump_restore/after.sql @@ -0,0 +1,20 @@ + +create schema wiki; +create table wiki.post +( id serial not null primary key +, title text not null +, published timestamptz +, category text +, tags text[] +, content text not null +); + +select ai.create_vectorizer +( 'wiki.post'::regclass +, embedding=>ai.embedding_openai('text-embedding-3-small', 768) +, chunking=>ai.chunking_character_text_splitter('content', 128, 10) +, scheduling=>ai.scheduling_none() +, indexing=>ai.indexing_none() +, grant_to=>null +); + diff --git a/projects/extension/tests/dump_restore/init.sql b/projects/extension/tests/dump_restore/init.sql new file mode 100644 index 000000000..8e720802c --- /dev/null +++ b/projects/extension/tests/dump_restore/init.sql @@ -0,0 +1,28 @@ +create extension if not exists ai cascade; + +create table blog +( id int not null primary key generated always as identity +, title text not null +, published timestamptz +, content text not null +, category text not null +, tags jsonb +); + +insert into blog (title, published, content, category, tags) +values + ('how to cook a hot dog', '2024-01-06'::timestamptz, 'put it on a hot grill', 'easy', '["grill"]'::jsonb) +, ('how to make a sandwich', '2023-01-06'::timestamptz, 'put a slice of meat between two pieces of bread', 'easy', '["no cook"]'::jsonb) +, ('how to make stir fry', '2022-01-06'::timestamptz, 'pick up the phone and order takeout', 'easy', '["phone-required"]'::jsonb) +; + +select ai.create_vectorizer +( 'blog'::regclass +, embedding=>ai.embedding_openai('text-embedding-3-small', 768) +, chunking=>ai.chunking_character_text_splitter('content', 128, 10) +, formatting=>ai.formatting_python_template('title: $title published: $published $chunk') +, scheduling=>ai.scheduling_none() +, indexing=>ai.indexing_none() +, grant_to=>null +); + diff --git a/projects/extension/tests/dump_restore/snapshot.sql b/projects/extension/tests/dump_restore/snapshot.sql new file mode 100644 index 000000000..bfa07f568 --- /dev/null +++ b/projects/extension/tests/dump_restore/snapshot.sql @@ -0,0 +1,65 @@ +\pset pager off + +select version(); + +-- Lists schemas +\dn+ +-- Lists installed extensions. +\dx +-- all the objects belonging to each matching extension are listed. +\dx+ ai +-- Lists default access privilege settings. +\ddp + +-- dynamically generate meta commands to describe schemas +\! rm -f describe_schemas.sql +select format('%s %s', c.c, s.s) +from unnest(array +[ 'public' +, 'ai' +]) s(s) +cross join unnest(array +[ '\dp+' -- Lists tables, views and sequences with their associated access privileges +, '\ddp' -- Lists default access privilege settings. An entry is shown for each role (and schema, if applicable) for which the default privilege settings have been changed from the built-in defaults. +]) c(c) +order by c.c, s.s +\g (tuples_only=on format=csv) describe_schemas.sql +\i describe_schemas.sql + +-- dynamically generate meta commands to describe objects in the schemas +\! rm -f describe_objects.sql +select format('%s %s', c.c, s.s) +from unnest(array +[ 'public.*' +, 'ai.*' +]) s(s) +cross join unnest(array +[ '\d+' -- Describe each relation +, '\df+' -- Describe functions +, '\dp+' -- Lists tables, views and sequences with their associated access privileges. +, '\di' -- Describe indexes +, '\do' -- Lists operators with their operand and result types +, '\dT' -- Lists data types. +]) c(c) +order by c.c, s.s +\g (tuples_only=on format=csv) describe_objects.sql +\i describe_objects.sql + +-- snapshot the data from all the tables and views +select + format($$select '%I.%I' as table_snapshot;$$, n.nspname, k.relname), + case + -- we don't care about comparing the applied_at_version and applied_at columns of the migration table + when n.nspname = 'ai'::name and k.relname = 'migration'::name + then 'select name, body from ai.migration order by name, body;' + else format('select * from %I.%I tbl order by tbl;', n.nspname, k.relname) + end +from pg_namespace n +inner join pg_class k on (n.oid = k.relnamespace) +where k.relkind in ('r', 'p', 'v') +and n.nspname in +( 'public' +, 'ai' +) +order by n.nspname, k.relname +\gexec diff --git a/projects/extension/tests/dump_restore/test_dump_restore.py b/projects/extension/tests/dump_restore/test_dump_restore.py new file mode 100644 index 000000000..15af03ae6 --- /dev/null +++ b/projects/extension/tests/dump_restore/test_dump_restore.py @@ -0,0 +1,164 @@ +import os +import subprocess +from pathlib import Path + +import psycopg +import pytest + +# skip tests in this module if disabled +enable_dump_restore_tests = os.getenv("ENABLE_DUMP_RESTORE_TESTS") +if enable_dump_restore_tests == "0": + pytest.skip(allow_module_level=True) + + +USER = "jane" # NOT a superuser + + +def db_url(user: str, dbname: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/{dbname}" + + +def where_am_i() -> str: + if "WHERE_AM_I" in os.environ and os.environ["WHERE_AM_I"] == "docker": + return "docker" + return "host" + + +def docker_dir() -> str: + return "/pgai/projects/extension/tests/dump_restore" + + +def host_dir() -> Path: + return Path(__file__).parent.absolute() + + +def create_user() -> None: + with psycopg.connect( + db_url(user="postgres", dbname="postgres"), autocommit=True + ) as con: + with con.cursor() as cur: + cur.execute( + """ + select count(*) > 0 + from pg_catalog.pg_roles + where rolname = %s + """, + (USER,), + ) + exists: bool = cur.fetchone()[0] + if not exists: + cur.execute(f"create user {USER}") # NOT a superuser + + +def create_database(dbname: str) -> None: + with psycopg.connect( + db_url(user="postgres", dbname="postgres"), autocommit=True + ) as con: + with con.cursor() as cur: + cur.execute(f"drop database if exists {dbname} with (force)") + cur.execute(f"create database {dbname} with owner {USER}") + + +def dump_db() -> None: + host_dir().joinpath("dump.sql").unlink(missing_ok=True) + cmd = " ".join( + [ + "pg_dump -Fp", + f'''-d "{db_url(USER, "src")}"''', + f"""-f {docker_dir()}/dump.sql""", + ] + ) + if where_am_i() != "docker": + cmd = f"docker exec -w {docker_dir()} pgai {cmd}" + subprocess.run(cmd, check=True, shell=True, env=os.environ, cwd=str(host_dir())) + + +def restore_db() -> None: + with psycopg.connect(db_url(user=USER, dbname="dst")) as con: + with con.cursor() as cur: + cur.execute("create extension ai cascade") + cmd = " ".join( + [ + "psql", + f'''-d "{db_url(USER, "dst")}"''', + "-v VERBOSITY=verbose", + f"-f {docker_dir()}/dump.sql", + ] + ) + if where_am_i() != "docker": + cmd = f"docker exec -w {docker_dir()} pgai {cmd}" + subprocess.run(cmd, check=True, shell=True, env=os.environ, cwd=str(host_dir())) + + +def snapshot_db(dbname: str) -> None: + host_dir().joinpath(f"{dbname}.snapshot").unlink(missing_ok=True) + cmd = " ".join( + [ + "psql", + f'''-d "{db_url("postgres", dbname)}"''', + "-v ON_ERROR_STOP=1", + "-X", + f"-o {docker_dir()}/{dbname}.snapshot", + f"-f {docker_dir()}/snapshot.sql", + ] + ) + if where_am_i() != "docker": + cmd = f"docker exec -w {docker_dir()} pgai {cmd}" + subprocess.run(cmd, check=True, shell=True, env=os.environ, cwd=str(host_dir())) + + +def init_src() -> None: + cmd = " ".join( + [ + "psql", + f'''-d "{db_url(USER, "src")}"''', + "-v ON_ERROR_STOP=1", + f"-f {docker_dir()}/init.sql", + ] + ) + if where_am_i() != "docker": + cmd = f"docker exec -w {docker_dir()} pgai {cmd}" + subprocess.run(cmd, check=True, shell=True, env=os.environ, cwd=str(host_dir())) + + +def read_file(filename: str) -> str: + with open(filename, "r") as f: + return f.read() + + +def after_dst() -> None: + cmd = " ".join( + [ + "psql", + f'''-d "{db_url(USER, "dst")}"''', + "-v ON_ERROR_STOP=1", + f"-f {docker_dir()}/after.sql", + ] + ) + if where_am_i() != "docker": + cmd = f"docker exec -w {docker_dir()} pgai {cmd}" + subprocess.run(cmd, check=True, shell=True, env=os.environ, cwd=str(host_dir())) + + +def count_vectorizers() -> int: + with psycopg.connect(db_url(user=USER, dbname="dst"), autocommit=True) as con: + with con.cursor() as cur: + cur.execute("select count(*) from ai.vectorizer") + count: int = cur.fetchone()[0] + return count + + +def test_dump_restore(): + create_user() + create_database("src") + create_database("dst") + init_src() + snapshot_db("src") + dump_db() + restore_db() + snapshot_db("dst") + src = read_file(str(host_dir().joinpath("src.snapshot"))) + dst = read_file(str(host_dir().joinpath("dst.snapshot"))) + assert dst == src + after_dst() # make sure we can USE the restored db + assert count_vectorizers() == 2 diff --git a/tests/postgresql-vs-pinecone.jpg b/projects/extension/tests/postgresql-vs-pinecone.jpg similarity index 100% rename from tests/postgresql-vs-pinecone.jpg rename to projects/extension/tests/postgresql-vs-pinecone.jpg diff --git a/projects/extension/tests/privileges/__init__.py b/projects/extension/tests/privileges/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/projects/extension/tests/privileges/function.expected b/projects/extension/tests/privileges/function.expected new file mode 100644 index 000000000..cba031e11 --- /dev/null +++ b/projects/extension/tests/privileges/function.expected @@ -0,0 +1,256 @@ + prokind | user | privilege | granted | schema | func +---------+-------+-----------+---------+--------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ + f | alice | execute | YES | ai | _validate_chunking(config jsonb, source_schema name, source_table name) + f | bob | execute | no | ai | _validate_chunking(config jsonb, source_schema name, source_table name) + f | fred | execute | no | ai | _validate_chunking(config jsonb, source_schema name, source_table name) + f | jill | execute | YES | ai | _validate_chunking(config jsonb, source_schema name, source_table name) + f | alice | execute | YES | ai | _validate_embedding(config jsonb) + f | bob | execute | no | ai | _validate_embedding(config jsonb) + f | fred | execute | no | ai | _validate_embedding(config jsonb) + f | jill | execute | YES | ai | _validate_embedding(config jsonb) + f | alice | execute | YES | ai | _validate_formatting(config jsonb, source_schema name, source_table name) + f | bob | execute | no | ai | _validate_formatting(config jsonb, source_schema name, source_table name) + f | fred | execute | no | ai | _validate_formatting(config jsonb, source_schema name, source_table name) + f | jill | execute | YES | ai | _validate_formatting(config jsonb, source_schema name, source_table name) + f | alice | execute | YES | ai | _validate_formatting_python_template(config jsonb, source_schema name, source_table name) + f | bob | execute | no | ai | _validate_formatting_python_template(config jsonb, source_schema name, source_table name) + f | fred | execute | no | ai | _validate_formatting_python_template(config jsonb, source_schema name, source_table name) + f | jill | execute | YES | ai | _validate_formatting_python_template(config jsonb, source_schema name, source_table name) + f | alice | execute | YES | ai | _validate_indexing(config jsonb) + f | bob | execute | no | ai | _validate_indexing(config jsonb) + f | fred | execute | no | ai | _validate_indexing(config jsonb) + f | jill | execute | YES | ai | _validate_indexing(config jsonb) + f | alice | execute | YES | ai | _validate_indexing_diskann(config jsonb) + f | bob | execute | no | ai | _validate_indexing_diskann(config jsonb) + f | fred | execute | no | ai | _validate_indexing_diskann(config jsonb) + f | jill | execute | YES | ai | _validate_indexing_diskann(config jsonb) + f | alice | execute | YES | ai | _validate_indexing_hnsw(config jsonb) + f | bob | execute | no | ai | _validate_indexing_hnsw(config jsonb) + f | fred | execute | no | ai | _validate_indexing_hnsw(config jsonb) + f | jill | execute | YES | ai | _validate_indexing_hnsw(config jsonb) + f | alice | execute | YES | ai | _validate_processing(config jsonb) + f | bob | execute | no | ai | _validate_processing(config jsonb) + f | fred | execute | no | ai | _validate_processing(config jsonb) + f | jill | execute | YES | ai | _validate_processing(config jsonb) + f | alice | execute | YES | ai | _validate_scheduling(config jsonb) + f | bob | execute | no | ai | _validate_scheduling(config jsonb) + f | fred | execute | no | ai | _validate_scheduling(config jsonb) + f | jill | execute | YES | ai | _validate_scheduling(config jsonb) + f | alice | execute | YES | ai | _vectorizer_create_queue_table(queue_schema name, queue_table name, source_pk jsonb, grant_to name[]) + f | bob | execute | no | ai | _vectorizer_create_queue_table(queue_schema name, queue_table name, source_pk jsonb, grant_to name[]) + f | fred | execute | no | ai | _vectorizer_create_queue_table(queue_schema name, queue_table name, source_pk jsonb, grant_to name[]) + f | jill | execute | YES | ai | _vectorizer_create_queue_table(queue_schema name, queue_table name, source_pk jsonb, grant_to name[]) + f | alice | execute | YES | ai | _vectorizer_create_source_trigger(trigger_name name, queue_schema name, queue_table name, source_schema name, source_table name, source_pk jsonb) + f | bob | execute | no | ai | _vectorizer_create_source_trigger(trigger_name name, queue_schema name, queue_table name, source_schema name, source_table name, source_pk jsonb) + f | fred | execute | no | ai | _vectorizer_create_source_trigger(trigger_name name, queue_schema name, queue_table name, source_schema name, source_table name, source_pk jsonb) + f | jill | execute | YES | ai | _vectorizer_create_source_trigger(trigger_name name, queue_schema name, queue_table name, source_schema name, source_table name, source_pk jsonb) + f | alice | execute | YES | ai | _vectorizer_create_target_table(source_schema name, source_table name, source_pk jsonb, target_schema name, target_table name, dimensions integer, grant_to name[]) + f | bob | execute | no | ai | _vectorizer_create_target_table(source_schema name, source_table name, source_pk jsonb, target_schema name, target_table name, dimensions integer, grant_to name[]) + f | fred | execute | no | ai | _vectorizer_create_target_table(source_schema name, source_table name, source_pk jsonb, target_schema name, target_table name, dimensions integer, grant_to name[]) + f | jill | execute | YES | ai | _vectorizer_create_target_table(source_schema name, source_table name, source_pk jsonb, target_schema name, target_table name, dimensions integer, grant_to name[]) + f | alice | execute | YES | ai | _vectorizer_create_vector_index(target_schema name, target_table name, indexing jsonb) + f | bob | execute | no | ai | _vectorizer_create_vector_index(target_schema name, target_table name, indexing jsonb) + f | fred | execute | no | ai | _vectorizer_create_vector_index(target_schema name, target_table name, indexing jsonb) + f | jill | execute | YES | ai | _vectorizer_create_vector_index(target_schema name, target_table name, indexing jsonb) + f | alice | execute | YES | ai | _vectorizer_create_view(view_schema name, view_name name, source_schema name, source_table name, source_pk jsonb, target_schema name, target_table name, grant_to name[]) + f | bob | execute | no | ai | _vectorizer_create_view(view_schema name, view_name name, source_schema name, source_table name, source_pk jsonb, target_schema name, target_table name, grant_to name[]) + f | fred | execute | no | ai | _vectorizer_create_view(view_schema name, view_name name, source_schema name, source_table name, source_pk jsonb, target_schema name, target_table name, grant_to name[]) + f | jill | execute | YES | ai | _vectorizer_create_view(view_schema name, view_name name, source_schema name, source_table name, source_pk jsonb, target_schema name, target_table name, grant_to name[]) + f | alice | execute | YES | ai | _vectorizer_grant_to_source(source_schema name, source_table name, grant_to name[]) + f | bob | execute | no | ai | _vectorizer_grant_to_source(source_schema name, source_table name, grant_to name[]) + f | fred | execute | no | ai | _vectorizer_grant_to_source(source_schema name, source_table name, grant_to name[]) + f | jill | execute | YES | ai | _vectorizer_grant_to_source(source_schema name, source_table name, grant_to name[]) + f | alice | execute | YES | ai | _vectorizer_grant_to_vectorizer(grant_to name[]) + f | bob | execute | no | ai | _vectorizer_grant_to_vectorizer(grant_to name[]) + f | fred | execute | no | ai | _vectorizer_grant_to_vectorizer(grant_to name[]) + f | jill | execute | YES | ai | _vectorizer_grant_to_vectorizer(grant_to name[]) + p | alice | execute | YES | ai | _vectorizer_job(IN job_id integer, IN config jsonb) + p | bob | execute | no | ai | _vectorizer_job(IN job_id integer, IN config jsonb) + p | fred | execute | no | ai | _vectorizer_job(IN job_id integer, IN config jsonb) + p | jill | execute | YES | ai | _vectorizer_job(IN job_id integer, IN config jsonb) + f | alice | execute | YES | ai | _vectorizer_schedule_job(vectorizer_id integer, scheduling jsonb) + f | bob | execute | no | ai | _vectorizer_schedule_job(vectorizer_id integer, scheduling jsonb) + f | fred | execute | no | ai | _vectorizer_schedule_job(vectorizer_id integer, scheduling jsonb) + f | jill | execute | YES | ai | _vectorizer_schedule_job(vectorizer_id integer, scheduling jsonb) + f | alice | execute | YES | ai | _vectorizer_should_create_vector_index(vectorizer ai.vectorizer) + f | bob | execute | no | ai | _vectorizer_should_create_vector_index(vectorizer ai.vectorizer) + f | fred | execute | no | ai | _vectorizer_should_create_vector_index(vectorizer ai.vectorizer) + f | jill | execute | YES | ai | _vectorizer_should_create_vector_index(vectorizer ai.vectorizer) + f | alice | execute | YES | ai | _vectorizer_source_pk(source_table regclass) + f | bob | execute | no | ai | _vectorizer_source_pk(source_table regclass) + f | fred | execute | no | ai | _vectorizer_source_pk(source_table regclass) + f | jill | execute | YES | ai | _vectorizer_source_pk(source_table regclass) + f | alice | execute | YES | ai | _vectorizer_src_trg_1() + f | bob | execute | no | ai | _vectorizer_src_trg_1() + f | fred | execute | no | ai | _vectorizer_src_trg_1() + f | jill | execute | no | ai | _vectorizer_src_trg_1() + f | alice | execute | YES | ai | _vectorizer_vector_index_exists(target_schema name, target_table name, indexing jsonb) + f | bob | execute | no | ai | _vectorizer_vector_index_exists(target_schema name, target_table name, indexing jsonb) + f | fred | execute | no | ai | _vectorizer_vector_index_exists(target_schema name, target_table name, indexing jsonb) + f | jill | execute | YES | ai | _vectorizer_vector_index_exists(target_schema name, target_table name, indexing jsonb) + f | alice | execute | YES | ai | anthropic_generate(_model text, _messages jsonb, _max_tokens integer, _api_key text, _base_url text, _timeout double precision, _max_retries integer, _system text, _user_id text, _stop_sequences text[], _temperature double precision, _tool_choice jsonb, _tools jsonb, _top_k integer, _top_p double precision) + f | bob | execute | no | ai | anthropic_generate(_model text, _messages jsonb, _max_tokens integer, _api_key text, _base_url text, _timeout double precision, _max_retries integer, _system text, _user_id text, _stop_sequences text[], _temperature double precision, _tool_choice jsonb, _tools jsonb, _top_k integer, _top_p double precision) + f | fred | execute | no | ai | anthropic_generate(_model text, _messages jsonb, _max_tokens integer, _api_key text, _base_url text, _timeout double precision, _max_retries integer, _system text, _user_id text, _stop_sequences text[], _temperature double precision, _tool_choice jsonb, _tools jsonb, _top_k integer, _top_p double precision) + f | jill | execute | YES | ai | anthropic_generate(_model text, _messages jsonb, _max_tokens integer, _api_key text, _base_url text, _timeout double precision, _max_retries integer, _system text, _user_id text, _stop_sequences text[], _temperature double precision, _tool_choice jsonb, _tools jsonb, _top_k integer, _top_p double precision) + f | alice | execute | YES | ai | chunking_character_text_splitter(chunk_column name, chunk_size integer, chunk_overlap integer, separator text, is_separator_regex boolean) + f | bob | execute | no | ai | chunking_character_text_splitter(chunk_column name, chunk_size integer, chunk_overlap integer, separator text, is_separator_regex boolean) + f | fred | execute | no | ai | chunking_character_text_splitter(chunk_column name, chunk_size integer, chunk_overlap integer, separator text, is_separator_regex boolean) + f | jill | execute | YES | ai | chunking_character_text_splitter(chunk_column name, chunk_size integer, chunk_overlap integer, separator text, is_separator_regex boolean) + f | alice | execute | YES | ai | chunking_recursive_character_text_splitter(chunk_column name, chunk_size integer, chunk_overlap integer, separators text[], is_separator_regex boolean) + f | bob | execute | no | ai | chunking_recursive_character_text_splitter(chunk_column name, chunk_size integer, chunk_overlap integer, separators text[], is_separator_regex boolean) + f | fred | execute | no | ai | chunking_recursive_character_text_splitter(chunk_column name, chunk_size integer, chunk_overlap integer, separators text[], is_separator_regex boolean) + f | jill | execute | YES | ai | chunking_recursive_character_text_splitter(chunk_column name, chunk_size integer, chunk_overlap integer, separators text[], is_separator_regex boolean) + f | alice | execute | YES | ai | cohere_chat_complete(_model text, _message text, _api_key text, _preamble text, _chat_history jsonb, _conversation_id text, _prompt_truncation text, _connectors jsonb, _search_queries_only boolean, _documents jsonb, _citation_quality text, _temperature double precision, _max_tokens integer, _max_input_tokens integer, _k integer, _p double precision, _seed integer, _stop_sequences text[], _frequency_penalty double precision, _presence_penalty double precision, _tools jsonb, _tool_results jsonb, _force_single_step boolean) + f | bob | execute | no | ai | cohere_chat_complete(_model text, _message text, _api_key text, _preamble text, _chat_history jsonb, _conversation_id text, _prompt_truncation text, _connectors jsonb, _search_queries_only boolean, _documents jsonb, _citation_quality text, _temperature double precision, _max_tokens integer, _max_input_tokens integer, _k integer, _p double precision, _seed integer, _stop_sequences text[], _frequency_penalty double precision, _presence_penalty double precision, _tools jsonb, _tool_results jsonb, _force_single_step boolean) + f | fred | execute | no | ai | cohere_chat_complete(_model text, _message text, _api_key text, _preamble text, _chat_history jsonb, _conversation_id text, _prompt_truncation text, _connectors jsonb, _search_queries_only boolean, _documents jsonb, _citation_quality text, _temperature double precision, _max_tokens integer, _max_input_tokens integer, _k integer, _p double precision, _seed integer, _stop_sequences text[], _frequency_penalty double precision, _presence_penalty double precision, _tools jsonb, _tool_results jsonb, _force_single_step boolean) + f | jill | execute | YES | ai | cohere_chat_complete(_model text, _message text, _api_key text, _preamble text, _chat_history jsonb, _conversation_id text, _prompt_truncation text, _connectors jsonb, _search_queries_only boolean, _documents jsonb, _citation_quality text, _temperature double precision, _max_tokens integer, _max_input_tokens integer, _k integer, _p double precision, _seed integer, _stop_sequences text[], _frequency_penalty double precision, _presence_penalty double precision, _tools jsonb, _tool_results jsonb, _force_single_step boolean) + f | alice | execute | YES | ai | cohere_classify(_model text, _inputs text[], _api_key text, _examples jsonb, _truncate text) + f | bob | execute | no | ai | cohere_classify(_model text, _inputs text[], _api_key text, _examples jsonb, _truncate text) + f | fred | execute | no | ai | cohere_classify(_model text, _inputs text[], _api_key text, _examples jsonb, _truncate text) + f | jill | execute | YES | ai | cohere_classify(_model text, _inputs text[], _api_key text, _examples jsonb, _truncate text) + f | alice | execute | YES | ai | cohere_classify_simple(_model text, _inputs text[], _api_key text, _examples jsonb, _truncate text) + f | bob | execute | no | ai | cohere_classify_simple(_model text, _inputs text[], _api_key text, _examples jsonb, _truncate text) + f | fred | execute | no | ai | cohere_classify_simple(_model text, _inputs text[], _api_key text, _examples jsonb, _truncate text) + f | jill | execute | YES | ai | cohere_classify_simple(_model text, _inputs text[], _api_key text, _examples jsonb, _truncate text) + f | alice | execute | YES | ai | cohere_detokenize(_model text, _tokens integer[], _api_key text) + f | bob | execute | no | ai | cohere_detokenize(_model text, _tokens integer[], _api_key text) + f | fred | execute | no | ai | cohere_detokenize(_model text, _tokens integer[], _api_key text) + f | jill | execute | YES | ai | cohere_detokenize(_model text, _tokens integer[], _api_key text) + f | alice | execute | YES | ai | cohere_embed(_model text, _input text, _api_key text, _input_type text, _truncate text) + f | bob | execute | no | ai | cohere_embed(_model text, _input text, _api_key text, _input_type text, _truncate text) + f | fred | execute | no | ai | cohere_embed(_model text, _input text, _api_key text, _input_type text, _truncate text) + f | jill | execute | YES | ai | cohere_embed(_model text, _input text, _api_key text, _input_type text, _truncate text) + f | alice | execute | YES | ai | cohere_list_models(_api_key text, _endpoint text, _default_only boolean) + f | bob | execute | no | ai | cohere_list_models(_api_key text, _endpoint text, _default_only boolean) + f | fred | execute | no | ai | cohere_list_models(_api_key text, _endpoint text, _default_only boolean) + f | jill | execute | YES | ai | cohere_list_models(_api_key text, _endpoint text, _default_only boolean) + f | alice | execute | YES | ai | cohere_rerank(_model text, _query text, _documents jsonb, _api_key text, _top_n integer, _rank_fields text[], _return_documents boolean, _max_chunks_per_doc integer) + f | bob | execute | no | ai | cohere_rerank(_model text, _query text, _documents jsonb, _api_key text, _top_n integer, _rank_fields text[], _return_documents boolean, _max_chunks_per_doc integer) + f | fred | execute | no | ai | cohere_rerank(_model text, _query text, _documents jsonb, _api_key text, _top_n integer, _rank_fields text[], _return_documents boolean, _max_chunks_per_doc integer) + f | jill | execute | YES | ai | cohere_rerank(_model text, _query text, _documents jsonb, _api_key text, _top_n integer, _rank_fields text[], _return_documents boolean, _max_chunks_per_doc integer) + f | alice | execute | YES | ai | cohere_rerank_simple(_model text, _query text, _documents jsonb, _api_key text, _top_n integer, _max_chunks_per_doc integer) + f | bob | execute | no | ai | cohere_rerank_simple(_model text, _query text, _documents jsonb, _api_key text, _top_n integer, _max_chunks_per_doc integer) + f | fred | execute | no | ai | cohere_rerank_simple(_model text, _query text, _documents jsonb, _api_key text, _top_n integer, _max_chunks_per_doc integer) + f | jill | execute | YES | ai | cohere_rerank_simple(_model text, _query text, _documents jsonb, _api_key text, _top_n integer, _max_chunks_per_doc integer) + f | alice | execute | YES | ai | cohere_tokenize(_model text, _text text, _api_key text) + f | bob | execute | no | ai | cohere_tokenize(_model text, _text text, _api_key text) + f | fred | execute | no | ai | cohere_tokenize(_model text, _text text, _api_key text) + f | jill | execute | YES | ai | cohere_tokenize(_model text, _text text, _api_key text) + f | alice | execute | YES | ai | create_vectorizer(source regclass, embedding jsonb, chunking jsonb, indexing jsonb, formatting jsonb, scheduling jsonb, processing jsonb, target_schema name, target_table name, view_schema name, view_name name, queue_schema name, queue_table name, grant_to name[], enqueue_existing boolean) + f | bob | execute | no | ai | create_vectorizer(source regclass, embedding jsonb, chunking jsonb, indexing jsonb, formatting jsonb, scheduling jsonb, processing jsonb, target_schema name, target_table name, view_schema name, view_name name, queue_schema name, queue_table name, grant_to name[], enqueue_existing boolean) + f | fred | execute | no | ai | create_vectorizer(source regclass, embedding jsonb, chunking jsonb, indexing jsonb, formatting jsonb, scheduling jsonb, processing jsonb, target_schema name, target_table name, view_schema name, view_name name, queue_schema name, queue_table name, grant_to name[], enqueue_existing boolean) + f | jill | execute | YES | ai | create_vectorizer(source regclass, embedding jsonb, chunking jsonb, indexing jsonb, formatting jsonb, scheduling jsonb, processing jsonb, target_schema name, target_table name, view_schema name, view_name name, queue_schema name, queue_table name, grant_to name[], enqueue_existing boolean) + f | alice | execute | YES | ai | disable_vectorizer_schedule(vectorizer_id integer) + f | bob | execute | no | ai | disable_vectorizer_schedule(vectorizer_id integer) + f | fred | execute | no | ai | disable_vectorizer_schedule(vectorizer_id integer) + f | jill | execute | YES | ai | disable_vectorizer_schedule(vectorizer_id integer) + f | alice | execute | YES | ai | drop_vectorizer(vectorizer_id integer) + f | bob | execute | no | ai | drop_vectorizer(vectorizer_id integer) + f | fred | execute | no | ai | drop_vectorizer(vectorizer_id integer) + f | jill | execute | YES | ai | drop_vectorizer(vectorizer_id integer) + f | alice | execute | YES | ai | embedding_openai(model text, dimensions integer, chat_user text, api_key_name text) + f | bob | execute | no | ai | embedding_openai(model text, dimensions integer, chat_user text, api_key_name text) + f | fred | execute | no | ai | embedding_openai(model text, dimensions integer, chat_user text, api_key_name text) + f | jill | execute | YES | ai | embedding_openai(model text, dimensions integer, chat_user text, api_key_name text) + f | alice | execute | YES | ai | enable_vectorizer_schedule(vectorizer_id integer) + f | bob | execute | no | ai | enable_vectorizer_schedule(vectorizer_id integer) + f | fred | execute | no | ai | enable_vectorizer_schedule(vectorizer_id integer) + f | jill | execute | YES | ai | enable_vectorizer_schedule(vectorizer_id integer) + f | alice | execute | YES | ai | execute_vectorizer(vectorizer_id integer) + f | bob | execute | no | ai | execute_vectorizer(vectorizer_id integer) + f | fred | execute | no | ai | execute_vectorizer(vectorizer_id integer) + f | jill | execute | YES | ai | execute_vectorizer(vectorizer_id integer) + f | alice | execute | YES | ai | formatting_python_template(template text) + f | bob | execute | no | ai | formatting_python_template(template text) + f | fred | execute | no | ai | formatting_python_template(template text) + f | jill | execute | YES | ai | formatting_python_template(template text) + f | alice | execute | YES | ai | grant_ai_usage(to_user name, admin boolean) + f | bob | execute | no | ai | grant_ai_usage(to_user name, admin boolean) + f | fred | execute | no | ai | grant_ai_usage(to_user name, admin boolean) + f | jill | execute | no | ai | grant_ai_usage(to_user name, admin boolean) + f | alice | execute | YES | ai | indexing_diskann(min_rows integer, storage_layout text, num_neighbors integer, search_list_size integer, max_alpha double precision, num_dimensions integer, num_bits_per_dimension integer, create_when_queue_empty boolean) + f | bob | execute | no | ai | indexing_diskann(min_rows integer, storage_layout text, num_neighbors integer, search_list_size integer, max_alpha double precision, num_dimensions integer, num_bits_per_dimension integer, create_when_queue_empty boolean) + f | fred | execute | no | ai | indexing_diskann(min_rows integer, storage_layout text, num_neighbors integer, search_list_size integer, max_alpha double precision, num_dimensions integer, num_bits_per_dimension integer, create_when_queue_empty boolean) + f | jill | execute | YES | ai | indexing_diskann(min_rows integer, storage_layout text, num_neighbors integer, search_list_size integer, max_alpha double precision, num_dimensions integer, num_bits_per_dimension integer, create_when_queue_empty boolean) + f | alice | execute | YES | ai | indexing_hnsw(min_rows integer, opclass text, m integer, ef_construction integer, create_when_queue_empty boolean) + f | bob | execute | no | ai | indexing_hnsw(min_rows integer, opclass text, m integer, ef_construction integer, create_when_queue_empty boolean) + f | fred | execute | no | ai | indexing_hnsw(min_rows integer, opclass text, m integer, ef_construction integer, create_when_queue_empty boolean) + f | jill | execute | YES | ai | indexing_hnsw(min_rows integer, opclass text, m integer, ef_construction integer, create_when_queue_empty boolean) + f | alice | execute | YES | ai | indexing_none() + f | bob | execute | no | ai | indexing_none() + f | fred | execute | no | ai | indexing_none() + f | jill | execute | YES | ai | indexing_none() + f | alice | execute | YES | ai | ollama_chat_complete(_model text, _messages jsonb, _host text, _keep_alive double precision, _options jsonb) + f | bob | execute | no | ai | ollama_chat_complete(_model text, _messages jsonb, _host text, _keep_alive double precision, _options jsonb) + f | fred | execute | no | ai | ollama_chat_complete(_model text, _messages jsonb, _host text, _keep_alive double precision, _options jsonb) + f | jill | execute | YES | ai | ollama_chat_complete(_model text, _messages jsonb, _host text, _keep_alive double precision, _options jsonb) + f | alice | execute | YES | ai | ollama_embed(_model text, _input text, _host text, _keep_alive double precision, _options jsonb) + f | bob | execute | no | ai | ollama_embed(_model text, _input text, _host text, _keep_alive double precision, _options jsonb) + f | fred | execute | no | ai | ollama_embed(_model text, _input text, _host text, _keep_alive double precision, _options jsonb) + f | jill | execute | YES | ai | ollama_embed(_model text, _input text, _host text, _keep_alive double precision, _options jsonb) + f | alice | execute | YES | ai | ollama_generate(_model text, _prompt text, _host text, _images bytea[], _keep_alive double precision, _options jsonb, _system text, _template text, _context integer[]) + f | bob | execute | no | ai | ollama_generate(_model text, _prompt text, _host text, _images bytea[], _keep_alive double precision, _options jsonb, _system text, _template text, _context integer[]) + f | fred | execute | no | ai | ollama_generate(_model text, _prompt text, _host text, _images bytea[], _keep_alive double precision, _options jsonb, _system text, _template text, _context integer[]) + f | jill | execute | YES | ai | ollama_generate(_model text, _prompt text, _host text, _images bytea[], _keep_alive double precision, _options jsonb, _system text, _template text, _context integer[]) + f | alice | execute | YES | ai | ollama_list_models(_host text) + f | bob | execute | no | ai | ollama_list_models(_host text) + f | fred | execute | no | ai | ollama_list_models(_host text) + f | jill | execute | YES | ai | ollama_list_models(_host text) + f | alice | execute | YES | ai | ollama_ps(_host text) + f | bob | execute | no | ai | ollama_ps(_host text) + f | fred | execute | no | ai | ollama_ps(_host text) + f | jill | execute | YES | ai | ollama_ps(_host text) + f | alice | execute | YES | ai | openai_chat_complete(_model text, _messages jsonb, _api_key text, _base_url text, _frequency_penalty double precision, _logit_bias jsonb, _logprobs boolean, _top_logprobs integer, _max_tokens integer, _n integer, _presence_penalty double precision, _response_format jsonb, _seed integer, _stop text, _temperature double precision, _top_p double precision, _tools jsonb, _tool_choice jsonb, _user text) + f | bob | execute | no | ai | openai_chat_complete(_model text, _messages jsonb, _api_key text, _base_url text, _frequency_penalty double precision, _logit_bias jsonb, _logprobs boolean, _top_logprobs integer, _max_tokens integer, _n integer, _presence_penalty double precision, _response_format jsonb, _seed integer, _stop text, _temperature double precision, _top_p double precision, _tools jsonb, _tool_choice jsonb, _user text) + f | fred | execute | no | ai | openai_chat_complete(_model text, _messages jsonb, _api_key text, _base_url text, _frequency_penalty double precision, _logit_bias jsonb, _logprobs boolean, _top_logprobs integer, _max_tokens integer, _n integer, _presence_penalty double precision, _response_format jsonb, _seed integer, _stop text, _temperature double precision, _top_p double precision, _tools jsonb, _tool_choice jsonb, _user text) + f | jill | execute | YES | ai | openai_chat_complete(_model text, _messages jsonb, _api_key text, _base_url text, _frequency_penalty double precision, _logit_bias jsonb, _logprobs boolean, _top_logprobs integer, _max_tokens integer, _n integer, _presence_penalty double precision, _response_format jsonb, _seed integer, _stop text, _temperature double precision, _top_p double precision, _tools jsonb, _tool_choice jsonb, _user text) + f | alice | execute | YES | ai | openai_chat_complete_simple(_message text, _api_key text) + f | bob | execute | no | ai | openai_chat_complete_simple(_message text, _api_key text) + f | fred | execute | no | ai | openai_chat_complete_simple(_message text, _api_key text) + f | jill | execute | YES | ai | openai_chat_complete_simple(_message text, _api_key text) + f | alice | execute | YES | ai | openai_detokenize(_model text, _tokens integer[]) + f | bob | execute | no | ai | openai_detokenize(_model text, _tokens integer[]) + f | fred | execute | no | ai | openai_detokenize(_model text, _tokens integer[]) + f | jill | execute | YES | ai | openai_detokenize(_model text, _tokens integer[]) + f | alice | execute | YES | ai | openai_embed(_model text, _input integer[], _api_key text, _base_url text, _dimensions integer, _user text) + f | bob | execute | no | ai | openai_embed(_model text, _input integer[], _api_key text, _base_url text, _dimensions integer, _user text) + f | fred | execute | no | ai | openai_embed(_model text, _input integer[], _api_key text, _base_url text, _dimensions integer, _user text) + f | jill | execute | YES | ai | openai_embed(_model text, _input integer[], _api_key text, _base_url text, _dimensions integer, _user text) + f | alice | execute | YES | ai | openai_embed(_model text, _input text, _api_key text, _base_url text, _dimensions integer, _user text) + f | bob | execute | no | ai | openai_embed(_model text, _input text, _api_key text, _base_url text, _dimensions integer, _user text) + f | fred | execute | no | ai | openai_embed(_model text, _input text, _api_key text, _base_url text, _dimensions integer, _user text) + f | jill | execute | YES | ai | openai_embed(_model text, _input text, _api_key text, _base_url text, _dimensions integer, _user text) + f | alice | execute | YES | ai | openai_embed(_model text, _input text[], _api_key text, _base_url text, _dimensions integer, _user text) + f | bob | execute | no | ai | openai_embed(_model text, _input text[], _api_key text, _base_url text, _dimensions integer, _user text) + f | fred | execute | no | ai | openai_embed(_model text, _input text[], _api_key text, _base_url text, _dimensions integer, _user text) + f | jill | execute | YES | ai | openai_embed(_model text, _input text[], _api_key text, _base_url text, _dimensions integer, _user text) + f | alice | execute | YES | ai | openai_list_models(_api_key text, _base_url text) + f | bob | execute | no | ai | openai_list_models(_api_key text, _base_url text) + f | fred | execute | no | ai | openai_list_models(_api_key text, _base_url text) + f | jill | execute | YES | ai | openai_list_models(_api_key text, _base_url text) + f | alice | execute | YES | ai | openai_moderate(_model text, _input text, _api_key text, _base_url text) + f | bob | execute | no | ai | openai_moderate(_model text, _input text, _api_key text, _base_url text) + f | fred | execute | no | ai | openai_moderate(_model text, _input text, _api_key text, _base_url text) + f | jill | execute | YES | ai | openai_moderate(_model text, _input text, _api_key text, _base_url text) + f | alice | execute | YES | ai | openai_tokenize(_model text, _text text) + f | bob | execute | no | ai | openai_tokenize(_model text, _text text) + f | fred | execute | no | ai | openai_tokenize(_model text, _text text) + f | jill | execute | YES | ai | openai_tokenize(_model text, _text text) + f | alice | execute | YES | ai | processing_default(batch_size integer, concurrency integer) + f | bob | execute | no | ai | processing_default(batch_size integer, concurrency integer) + f | fred | execute | no | ai | processing_default(batch_size integer, concurrency integer) + f | jill | execute | YES | ai | processing_default(batch_size integer, concurrency integer) + f | alice | execute | YES | ai | scheduling_none() + f | bob | execute | no | ai | scheduling_none() + f | fred | execute | no | ai | scheduling_none() + f | jill | execute | YES | ai | scheduling_none() + f | alice | execute | YES | ai | scheduling_timescaledb(schedule_interval interval, initial_start timestamp with time zone, fixed_schedule boolean, timezone text) + f | bob | execute | no | ai | scheduling_timescaledb(schedule_interval interval, initial_start timestamp with time zone, fixed_schedule boolean, timezone text) + f | fred | execute | no | ai | scheduling_timescaledb(schedule_interval interval, initial_start timestamp with time zone, fixed_schedule boolean, timezone text) + f | jill | execute | YES | ai | scheduling_timescaledb(schedule_interval interval, initial_start timestamp with time zone, fixed_schedule boolean, timezone text) + f | alice | execute | YES | ai | vectorizer_queue_pending(vectorizer_id integer) + f | bob | execute | no | ai | vectorizer_queue_pending(vectorizer_id integer) + f | fred | execute | no | ai | vectorizer_queue_pending(vectorizer_id integer) + f | jill | execute | YES | ai | vectorizer_queue_pending(vectorizer_id integer) +(252 rows) + diff --git a/projects/extension/tests/privileges/function.sql b/projects/extension/tests/privileges/function.sql new file mode 100644 index 000000000..1cd332aac --- /dev/null +++ b/projects/extension/tests/privileges/function.sql @@ -0,0 +1,17 @@ +\set users {bob,fred,alice,jill} + +-- check function privileges +\! rm -f function.actual +select + f.prokind +, u as "user" +, p as "privilege" +, case has_function_privilege(u, f.oid, p) when true then 'YES' else 'no' end as granted +, n.nspname as "schema" +, format('%s(%s)', f.proname, pg_get_function_identity_arguments(f.oid)) as func +from unnest(:'users'::text[]) u +inner join pg_namespace n on (n.nspname = any(array['ai'])) +inner join pg_proc f on (n.oid = f.pronamespace) +cross join unnest(array['execute']) p +order by n.nspname, 6, p, u +\g (format=aligned) function.actual diff --git a/projects/extension/tests/privileges/init0.sql b/projects/extension/tests/privileges/init0.sql new file mode 100644 index 000000000..cd3c9c353 --- /dev/null +++ b/projects/extension/tests/privileges/init0.sql @@ -0,0 +1,17 @@ + +-- psql var for users +\set users {bob,fred,alice,jill} + +drop database if exists privs with (force); + +-- (re)create some test users +select + format('drop user if exists %I', u, u) +, format('create user %I', u, u) +from unnest(:'users'::text[]) u +\gexec + +grant alice to current_user; +create database privs owner alice; + + diff --git a/projects/extension/tests/privileges/init1.sql b/projects/extension/tests/privileges/init1.sql new file mode 100644 index 000000000..2405a7bfa --- /dev/null +++ b/projects/extension/tests/privileges/init1.sql @@ -0,0 +1,30 @@ + +create extension ai cascade; + +create schema wiki; +grant usage on schema wiki to jill; + +create table wiki.post +( id serial not null primary key +, title text not null +, published timestamptz +, category text +, tags text[] +, content text not null +); +grant select on wiki.post to jill; + +select ai.grant_ai_usage('jill'); + +select ai.create_vectorizer +( 'wiki.post'::regclass +, embedding=>ai.embedding_openai('text-embedding-3-small', 768) +, chunking=>ai.chunking_character_text_splitter('content', 128, 10) +, scheduling=>ai.scheduling_none() +, indexing=>ai.indexing_none() +, grant_to=>array['fred', 'jill'] +); + + + + diff --git a/projects/extension/tests/privileges/jill.sql b/projects/extension/tests/privileges/jill.sql new file mode 100644 index 000000000..03ade9ce4 --- /dev/null +++ b/projects/extension/tests/privileges/jill.sql @@ -0,0 +1,36 @@ + +select count(*) +from wiki.post +; + +select count(*) +from wiki.post_embedding +; + +select count(*) +from wiki.post_embedding_store +; + +select ai.vectorizer_queue_pending(1); + +select count(*) +from ai._vectorizer_q_1 +; + +select count(*) +from ai.vectorizer_status +; + +select count(*) +from ai.vectorizer_errors +; + +select id as vectorizer_id +from ai.vectorizer +where source_table = 'post' +\gset + +select ai.disable_vectorizer_schedule(:vectorizer_id); + +select ai.enable_vectorizer_schedule(:vectorizer_id); + diff --git a/projects/extension/tests/privileges/schema.expected b/projects/extension/tests/privileges/schema.expected new file mode 100644 index 000000000..c018574db --- /dev/null +++ b/projects/extension/tests/privileges/schema.expected @@ -0,0 +1,20 @@ + schema | user | privilege | granted +--------+-------+-----------+--------- + ai | alice | create | YES + ai | bob | create | no + ai | fred | create | no + ai | jill | create | YES + ai | alice | usage | YES + ai | bob | usage | no + ai | fred | usage | YES + ai | jill | usage | YES + wiki | alice | create | YES + wiki | bob | create | no + wiki | fred | create | no + wiki | jill | create | no + wiki | alice | usage | YES + wiki | bob | usage | no + wiki | fred | usage | YES + wiki | jill | usage | YES +(16 rows) + diff --git a/projects/extension/tests/privileges/schema.sql b/projects/extension/tests/privileges/schema.sql new file mode 100644 index 000000000..1d471d187 --- /dev/null +++ b/projects/extension/tests/privileges/schema.sql @@ -0,0 +1,14 @@ +\set users {bob,fred,alice,jill} + +-- check schema privileges +\! rm -f schema.actual +select + n as "schema" +, u as "user" +, p as "privilege" +, case has_schema_privilege(u, n, p) when true then 'YES' else 'no' end as granted +from unnest(:'users'::text[]) u +cross join unnest(array['ai', 'wiki']) n +cross join unnest(array['create', 'usage']) p +order by n, p, u +\g (format=aligned) schema.actual diff --git a/projects/extension/tests/privileges/sequence.expected b/projects/extension/tests/privileges/sequence.expected new file mode 100644 index 000000000..cf80e5abc --- /dev/null +++ b/projects/extension/tests/privileges/sequence.expected @@ -0,0 +1,20 @@ + schema | table | user | privilege | granted +--------+-------------------+-------+-----------+--------- + ai | vectorizer_id_seq | alice | select | YES + ai | vectorizer_id_seq | alice | update | YES + ai | vectorizer_id_seq | bob | select | no + ai | vectorizer_id_seq | bob | update | no + ai | vectorizer_id_seq | fred | select | no + ai | vectorizer_id_seq | fred | update | no + ai | vectorizer_id_seq | jill | select | YES + ai | vectorizer_id_seq | jill | update | YES + wiki | post_id_seq | alice | select | YES + wiki | post_id_seq | alice | update | YES + wiki | post_id_seq | bob | select | no + wiki | post_id_seq | bob | update | no + wiki | post_id_seq | fred | select | no + wiki | post_id_seq | fred | update | no + wiki | post_id_seq | jill | select | no + wiki | post_id_seq | jill | update | no +(16 rows) + diff --git a/projects/extension/tests/privileges/sequence.sql b/projects/extension/tests/privileges/sequence.sql new file mode 100644 index 000000000..bb4691b5d --- /dev/null +++ b/projects/extension/tests/privileges/sequence.sql @@ -0,0 +1,16 @@ +\set users {bob,fred,alice,jill} + +-- check sequence privileges +\! rm -f sequence.actual +select + n.nspname as "schema" +, k.relname as "table" +, u as "user" +, p as "privilege" +, case has_table_privilege(u, k.oid, p) when true then 'YES' else 'no' end as granted +from unnest(:'users'::text[]) u +inner join pg_namespace n on (n.nspname = any(array['ai', 'wiki'])) +inner join pg_class k on (n.oid = k.relnamespace and k.relkind in ('S')) +cross join unnest(array['select', 'update']) p +order by n.nspname, k.relname, u, p +\g (format=aligned) sequence.actual diff --git a/projects/extension/tests/privileges/table.expected b/projects/extension/tests/privileges/table.expected new file mode 100644 index 000000000..8a244c0fb --- /dev/null +++ b/projects/extension/tests/privileges/table.expected @@ -0,0 +1,100 @@ + schema | table | user | privilege | granted +--------+----------------------+-------+-----------+--------- + ai | _vectorizer_q_1 | alice | delete | YES + ai | _vectorizer_q_1 | alice | insert | YES + ai | _vectorizer_q_1 | alice | select | YES + ai | _vectorizer_q_1 | alice | update | YES + ai | _vectorizer_q_1 | bob | delete | no + ai | _vectorizer_q_1 | bob | insert | no + ai | _vectorizer_q_1 | bob | select | no + ai | _vectorizer_q_1 | bob | update | no + ai | _vectorizer_q_1 | fred | delete | YES + ai | _vectorizer_q_1 | fred | insert | YES + ai | _vectorizer_q_1 | fred | select | YES + ai | _vectorizer_q_1 | fred | update | YES + ai | _vectorizer_q_1 | jill | delete | YES + ai | _vectorizer_q_1 | jill | insert | YES + ai | _vectorizer_q_1 | jill | select | YES + ai | _vectorizer_q_1 | jill | update | YES + ai | migration | alice | delete | YES + ai | migration | alice | insert | YES + ai | migration | alice | select | YES + ai | migration | alice | update | YES + ai | migration | bob | delete | no + ai | migration | bob | insert | no + ai | migration | bob | select | no + ai | migration | bob | update | no + ai | migration | fred | delete | no + ai | migration | fred | insert | no + ai | migration | fred | select | no + ai | migration | fred | update | no + ai | migration | jill | delete | no + ai | migration | jill | insert | no + ai | migration | jill | select | no + ai | migration | jill | update | no + ai | vectorizer | alice | delete | YES + ai | vectorizer | alice | insert | YES + ai | vectorizer | alice | select | YES + ai | vectorizer | alice | update | YES + ai | vectorizer | bob | delete | no + ai | vectorizer | bob | insert | no + ai | vectorizer | bob | select | no + ai | vectorizer | bob | update | no + ai | vectorizer | fred | delete | no + ai | vectorizer | fred | insert | no + ai | vectorizer | fred | select | YES + ai | vectorizer | fred | update | no + ai | vectorizer | jill | delete | YES + ai | vectorizer | jill | insert | YES + ai | vectorizer | jill | select | YES + ai | vectorizer | jill | update | YES + ai | vectorizer_errors | alice | delete | YES + ai | vectorizer_errors | alice | insert | YES + ai | vectorizer_errors | alice | select | YES + ai | vectorizer_errors | alice | update | YES + ai | vectorizer_errors | bob | delete | no + ai | vectorizer_errors | bob | insert | no + ai | vectorizer_errors | bob | select | no + ai | vectorizer_errors | bob | update | no + ai | vectorizer_errors | fred | delete | no + ai | vectorizer_errors | fred | insert | no + ai | vectorizer_errors | fred | select | no + ai | vectorizer_errors | fred | update | no + ai | vectorizer_errors | jill | delete | YES + ai | vectorizer_errors | jill | insert | YES + ai | vectorizer_errors | jill | select | YES + ai | vectorizer_errors | jill | update | YES + wiki | post | alice | delete | YES + wiki | post | alice | insert | YES + wiki | post | alice | select | YES + wiki | post | alice | update | YES + wiki | post | bob | delete | no + wiki | post | bob | insert | no + wiki | post | bob | select | no + wiki | post | bob | update | no + wiki | post | fred | delete | no + wiki | post | fred | insert | no + wiki | post | fred | select | YES + wiki | post | fred | update | no + wiki | post | jill | delete | no + wiki | post | jill | insert | no + wiki | post | jill | select | YES + wiki | post | jill | update | no + wiki | post_embedding_store | alice | delete | YES + wiki | post_embedding_store | alice | insert | YES + wiki | post_embedding_store | alice | select | YES + wiki | post_embedding_store | alice | update | YES + wiki | post_embedding_store | bob | delete | no + wiki | post_embedding_store | bob | insert | no + wiki | post_embedding_store | bob | select | no + wiki | post_embedding_store | bob | update | no + wiki | post_embedding_store | fred | delete | no + wiki | post_embedding_store | fred | insert | YES + wiki | post_embedding_store | fred | select | YES + wiki | post_embedding_store | fred | update | YES + wiki | post_embedding_store | jill | delete | no + wiki | post_embedding_store | jill | insert | YES + wiki | post_embedding_store | jill | select | YES + wiki | post_embedding_store | jill | update | YES +(96 rows) + diff --git a/projects/extension/tests/privileges/table.sql b/projects/extension/tests/privileges/table.sql new file mode 100644 index 000000000..331959677 --- /dev/null +++ b/projects/extension/tests/privileges/table.sql @@ -0,0 +1,16 @@ +\set users {bob,fred,alice,jill} + +-- check table privileges +\! rm -f schema.actual +select + n.nspname as "schema" +, k.relname as "table" +, u as "user" +, p as "privilege" +, case has_table_privilege(u, k.oid, p) when true then 'YES' else 'no' end as granted +from unnest(:'users'::text[]) u +inner join pg_namespace n on (n.nspname = any(array['ai', 'wiki'])) +inner join pg_class k on (n.oid = k.relnamespace and k.relkind in ('r', 'p')) +cross join unnest(array['select', 'insert', 'update', 'delete']) p +order by n.nspname, k.relname, u, p +\g (format=aligned) table.actual diff --git a/projects/extension/tests/privileges/test_privileges.py b/projects/extension/tests/privileges/test_privileges.py new file mode 100644 index 000000000..727ced178 --- /dev/null +++ b/projects/extension/tests/privileges/test_privileges.py @@ -0,0 +1,86 @@ +import os +import subprocess +from pathlib import Path + +import pytest + +# skip tests in this module if disabled +enable_privileges_tests = os.getenv("ENABLE_PRIVILEGES_TESTS") +if enable_privileges_tests == "0": + pytest.skip(allow_module_level=True) + + +def db_url(user: str, dbname: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/{dbname}" + + +def where_am_i() -> str: + if "WHERE_AM_I" in os.environ and os.environ["WHERE_AM_I"] == "docker": + return "docker" + return "host" + + +def docker_dir() -> str: + return "/pgai/projects/extension/tests/privileges" + + +def host_dir() -> Path: + return Path(__file__).parent.absolute() + + +def read_file(filename: str) -> str: + filename = Path(__file__).parent.absolute() / filename + with open(filename, "r") as f: + return f.read() + + +def psql_file(user, dbname, file: str) -> None: + cmd = " ".join( + [ + "psql", + f'''-d "{db_url(user, dbname)}"''', + "-v ON_ERROR_STOP=1", + "-X", + f"-f {docker_dir()}/{file}", + ] + ) + if where_am_i() != "docker": + cmd = f"docker exec -w {docker_dir()} pgai {cmd}" + subprocess.run(cmd, check=True, shell=True, env=os.environ, cwd=str(host_dir())) + + +@pytest.fixture(scope="module", autouse=True) +def init(): + psql_file("postgres", "postgres", "init0.sql") + psql_file("alice", "privs", "init1.sql") + + +def run_test(kind: str) -> None: + psql_file("postgres", "privs", f"{kind}.sql") + expected = read_file(f"{kind}.expected") + actual = read_file(f"{kind}.actual") + assert actual == expected + + +def test_schema_privileges(): + run_test("schema") + + +def test_table_privileges(): + run_test("table") + + +def test_sequence_privileges(): + run_test("sequence") + + +def test_view_privileges(): + run_test("view") + + +def test_function_privileges(): + run_test("function") + + +def test_jill_privileges(): + psql_file("jill", "privs", "jill.sql") diff --git a/projects/extension/tests/privileges/view.expected b/projects/extension/tests/privileges/view.expected new file mode 100644 index 000000000..c333ec898 --- /dev/null +++ b/projects/extension/tests/privileges/view.expected @@ -0,0 +1,12 @@ + schema | view | user | privilege | granted +--------+-------------------+-------+-----------+--------- + ai | vectorizer_status | alice | select | YES + ai | vectorizer_status | bob | select | no + ai | vectorizer_status | fred | select | no + ai | vectorizer_status | jill | select | YES + wiki | post_embedding | alice | select | YES + wiki | post_embedding | bob | select | no + wiki | post_embedding | fred | select | YES + wiki | post_embedding | jill | select | YES +(8 rows) + diff --git a/projects/extension/tests/privileges/view.sql b/projects/extension/tests/privileges/view.sql new file mode 100644 index 000000000..332e2defd --- /dev/null +++ b/projects/extension/tests/privileges/view.sql @@ -0,0 +1,16 @@ +\set users {bob,fred,alice,jill} + +-- check view privileges +\! rm -f view.actual +select + n.nspname as "schema" +, k.relname as "view" +, u as "user" +, p as "privilege" +, case has_table_privilege(u, k.oid, p) when true then 'YES' else 'no' end as granted +from unnest(:'users'::text[]) u +inner join pg_namespace n on (n.nspname = any(array['ai', 'wiki'])) +inner join pg_class k on (n.oid = k.relnamespace and k.relkind in ('v')) +cross join unnest(array['select']) p +order by n.nspname, k.relname, u, p +\g (format=aligned) view.actual diff --git a/projects/extension/tests/test_anthropic.py b/projects/extension/tests/test_anthropic.py new file mode 100644 index 000000000..22a4ab9d3 --- /dev/null +++ b/projects/extension/tests/test_anthropic.py @@ -0,0 +1,81 @@ +import os + +import psycopg +import pytest + + +# skip tests in this module if disabled +enable_anthropic_tests = os.getenv("ENABLE_ANTHROPIC_TESTS") +if not enable_anthropic_tests or enable_anthropic_tests == "0": + pytest.skip(allow_module_level=True) + + +@pytest.fixture() +def anthropic_api_key() -> str: + anthropic_api_key = os.environ["ANTHROPIC_API_KEY"] + return anthropic_api_key + + +@pytest.fixture() +def cur() -> psycopg.Cursor: + with psycopg.connect("postgres://test@127.0.0.1:5432/test") as con: + with con.cursor() as cur: + yield cur + + +@pytest.fixture() +def cur_with_api_key(anthropic_api_key, cur) -> psycopg.Cursor: + with cur: + cur.execute( + "select set_config('ai.anthropic_api_key', %s, false) is not null", + (anthropic_api_key,), + ) + yield cur + + +def test_anthropic_generate(cur, anthropic_api_key): + cur.execute( + """ + with x as + ( + select ai.anthropic_generate + ( 'claude-3-5-sonnet-20240620' + , jsonb_build_array + ( jsonb_build_object + ( 'role', 'user' + , 'content', 'Name five famous people from Birmingham, Alabama.' + ) + ) + , _api_key=>%s + ) as actual + ) + select jsonb_extract_path_text(x.actual, 'content', '0', 'text') is not null + and x.actual->>'stop_reason' = 'end_turn' + from x + """, + (anthropic_api_key,), + ) + actual = cur.fetchone()[0] + assert actual is True + + +def test_anthropic_generate_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + with x as + ( + select ai.anthropic_generate + ( 'claude-3-5-sonnet-20240620' + , jsonb_build_array + ( jsonb_build_object + ( 'role', 'user' + , 'content', 'Name five famous people from Birmingham, Alabama.' + ) + ) + ) as actual + ) + select jsonb_extract_path_text(x.actual, 'content', '0', 'text') is not null + and x.actual->>'stop_reason' = 'end_turn' + from x + """) + actual = cur_with_api_key.fetchone()[0] + assert actual is True diff --git a/projects/extension/tests/test_cohere.py b/projects/extension/tests/test_cohere.py new file mode 100644 index 000000000..0186e742e --- /dev/null +++ b/projects/extension/tests/test_cohere.py @@ -0,0 +1,309 @@ +import os + +import psycopg +import pytest + + +# skip tests in this module if disabled +enable_cohere_tests = os.getenv("ENABLE_COHERE_TESTS") +if not enable_cohere_tests or enable_cohere_tests == "0": + pytest.skip(allow_module_level=True) + + +@pytest.fixture() +def cohere_api_key() -> str: + cohere_api_key = os.environ["COHERE_API_KEY"] + return cohere_api_key + + +@pytest.fixture() +def cur() -> psycopg.Cursor: + with psycopg.connect("postgres://test@127.0.0.1:5432/test") as con: + with con.cursor() as cur: + yield cur + + +@pytest.fixture() +def cur_with_api_key(cohere_api_key, cur) -> psycopg.Cursor: + with cur: + cur.execute( + "select set_config('ai.cohere_api_key', %s, false) is not null", + (cohere_api_key,), + ) + yield cur + + +def test_cohere_list_models(cur, cohere_api_key): + cur.execute( + """ + select count(*) > 0 + from ai.cohere_list_models(_api_key=>%s) + """, + (cohere_api_key,), + ) + actual = cur.fetchone()[0] + assert actual is True + + +def test_cohere_list_models_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + select count(*) > 0 + from ai.cohere_list_models() + """) + actual = cur_with_api_key.fetchone()[0] + assert actual is True + + +def test_cohere_list_models_endpoint(cur_with_api_key): + cur_with_api_key.execute(""" + select count(*) > 0 + from ai.cohere_list_models(_endpoint=>'embed') + """) + actual = cur_with_api_key.fetchone()[0] + assert actual is True + + +def test_cohere_tokenize(cur, cohere_api_key): + cur.execute( + """ + select array_length + ( + ai.cohere_tokenize + ( 'command' + , 'What one programmer can do in one month, two programmers can do in two months.' + , _api_key=>%s + ) + , 1 + ) + """, + (cohere_api_key,), + ) + actual = cur.fetchone()[0] + assert actual == 17 + + +def test_cohere_tokenize_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + select ai.cohere_tokenize + ( 'command' + , 'One of the best programming skills you can have is knowing when to walk away for awhile.' + )::text + """) + actual = cur_with_api_key.fetchone()[0] + assert ( + actual + == "{5256,1707,1682,2383,9461,4696,1739,1863,1871,1740,9397,2112,1705,4066,3465,1742,38700,21}" + ) + + +def test_detokenize(cur, cohere_api_key): + cur.execute( + """ + select ai.cohere_detokenize + ( 'command' + , array[5171,2011,36613,1863,1978,1703,2011,2812,19,2253,38374,1863,1978,1703,2253,3784,21] + , _api_key=>%s + ) + """, + (cohere_api_key,), + ) + actual = cur.fetchone()[0] + assert ( + actual + == "What one programmer can do in one month, two programmers can do in two months." + ) + + +def test_cohere_detokenize_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + select ai.cohere_detokenize + ( 'command' + , array[14485,38374,2630,2060,2252,5164,4905,21,2744,2628,1675,3094,23407,21] + ) + """) + actual = cur_with_api_key.fetchone()[0] + assert ( + actual + == "Good programmers don't just write programs. They build a working vocabulary." + ) + + +def test_cohere_list_models_default_only(cur_with_api_key): + cur_with_api_key.execute(""" + select count(*) > 0 + from ai.cohere_list_models(_endpoint=>'generate', _default_only=>true) + """) + actual = cur_with_api_key.fetchone()[0] + assert actual is True + + +def test_cohere_embed(cur, cohere_api_key): + cur.execute( + """ + select vector_dims + ( + ai.cohere_embed + ( 'embed-english-light-v3.0' + , 'how much wood would a woodchuck chuck if a woodchuck could chuck wood?' + , _api_key=>%s + , _input_type=>'search_document' + ) + ) + """, + (cohere_api_key,), + ) + actual = cur.fetchone()[0] + assert actual == 384 + + +def test_cohere_embed_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + select vector_dims + ( + ai.cohere_embed + ( 'embed-english-light-v3.0' + , 'if a woodchuck could chuck wood, a woodchuck would chuck as much wood as he could' + , _input_type=>'search_document' + , _truncate=>'end' + ) + ) + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == 384 + + +def test_cohere_classify(cur_with_api_key): + cur_with_api_key.execute(""" + with examples(example, label) as + ( + values + ('cat', 'animal') + , ('dog', 'animal') + , ('car', 'machine') + , ('truck', 'machine') + , ('apple', 'food') + , ('broccoli', 'food') + ) + select jsonb_object_agg(x.input, x.prediction)::text + from jsonb_to_recordset + (( + select ai.cohere_classify + ( 'embed-english-light-v3.0' + , array['bird', 'airplane', 'corn'] + , _examples=>(select jsonb_agg(jsonb_build_object('text', examples.example, 'label', examples.label)) from examples) + )->'classifications' + )) x(input text, prediction text) + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == """{"bird": "animal", "corn": "food", "airplane": "machine"}""" + + +def test_cohere_classify_simple(cur_with_api_key): + cur_with_api_key.execute(""" + with examples(example, label) as + ( + values + ('cat', 'animal') + , ('dog', 'animal') + , ('car', 'machine') + , ('truck', 'machine') + , ('apple', 'food') + , ('broccoli', 'food') + ) + select jsonb_object_agg(x.input, x.prediction)::text + from ai.cohere_classify_simple + ( 'embed-english-light-v3.0' + , array['bird', 'airplane', 'corn'] + , _examples=>(select jsonb_agg(jsonb_build_object('text', examples.example, 'label', examples.label)) from examples) + ) x + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == """{"bird": "animal", "corn": "food", "airplane": "machine"}""" + + +def test_cohere_rerank(cur_with_api_key): + cur_with_api_key.execute(""" + with x as + ( + select ai.cohere_rerank + ( 'rerank-english-v3.0' + , 'How long does it take for two programmers to work on something?' + , jsonb_build_array + ( $$Good programmers don't just write programs. They build a working vocabulary.$$ + , 'One of the best programming skills you can have is knowing when to walk away for awhile.' + , 'What one programmer can do in one month, two programmers can do in two months.' + , 'how much wood would a woodchuck chuck if a woodchuck could chuck wood?' + ) + , _return_documents=>true + ) as actual + ) + select y."index" as actual + from x + cross join lateral jsonb_to_recordset(x.actual->'results') y("index" int, "document" jsonb, relevance_score float8) + order by y.relevance_score desc + limit 1 + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == 2 + + +def test_cohere_rerank_advanced(cur_with_api_key): + cur_with_api_key.execute(""" + with docs(id, quote, author) as + ( + values + (1, $$Good programmers don't just write programs. They build a working vocabulary.$$, 'Guy Steele') + , (2, 'One of the best programming skills you can have is knowing when to walk away for awhile.', 'Oscar Godson') + , (3, 'What one programmer can do in one month, two programmers can do in two months.', 'Frederick P. Brooks') + , (4, 'how much wood would a woodchuck chuck if a woodchuck could chuck wood?', 'some joker') + ) + , x as + ( + select ai.cohere_rerank + ( 'rerank-english-v3.0' + , 'How long does it take for two programmers to work on something?' + , (select jsonb_agg(x) from docs x) + , _rank_fields=>array['quote'] + , _return_documents=>true + ) as actual + ) + select y."document"->>'author' as actual + from x + cross join lateral jsonb_to_recordset(x.actual->'results') y("index" int, "document" jsonb, relevance_score float8) + order by y.relevance_score desc + limit 1 + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == "Frederick P. Brooks" + + +def test_cohere_rerank_simple(cur_with_api_key): + cur_with_api_key.execute(""" + select x."index" as actual + from ai.cohere_rerank_simple + ( 'rerank-english-v3.0' + , 'How long does it take for two programmers to work on something?' + , jsonb_build_array + ( $$Good programmers don't just write programs. They build a working vocabulary.$$ + , 'One of the best programming skills you can have is knowing when to walk away for awhile.' + , 'What one programmer can do in one month, two programmers can do in two months.' + , 'how much wood would a woodchuck chuck if a woodchuck could chuck wood?' + ) + ) x + order by relevance_score asc + limit 1 + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == 3 + + +def test_cohere_chat_complete(cur_with_api_key): + cur_with_api_key.execute(""" + select ai.cohere_chat_complete + ( 'command-r-plus' + , 'How much wood would a woodchuck chuck if a woodchuck could chuck wood?' + , _seed=>42 + )->>'text' is not null + """) + actual = cur_with_api_key.fetchone()[0] + assert actual is True diff --git a/projects/extension/tests/test_ollama.py b/projects/extension/tests/test_ollama.py new file mode 100644 index 000000000..bd409481a --- /dev/null +++ b/projects/extension/tests/test_ollama.py @@ -0,0 +1,243 @@ +import os + +import psycopg +import pytest + + +# skip tests in this module if disabled +enable_ollama_tests = os.getenv("ENABLE_OLLAMA_TESTS") +if not enable_ollama_tests or enable_ollama_tests == "0": + pytest.skip(allow_module_level=True) + + +@pytest.fixture() +def ollama_host() -> str: + ollama_host = os.environ["OLLAMA_HOST"] + return ollama_host + + +@pytest.fixture() +def cur() -> psycopg.Cursor: + with psycopg.connect("postgres://test@127.0.0.1:5432/test") as con: + with con.cursor() as cur: + yield cur + + +@pytest.fixture() +def cur_with_ollama_host(ollama_host, cur) -> psycopg.Cursor: + with cur: + cur.execute( + "select set_config('ai.ollama_host', %s, false) is not null", + (ollama_host,), + ) + yield cur + + +def test_ollama_list_models_no_host(cur_with_ollama_host): + cur_with_ollama_host.execute("select count(*) > 0 from ai.ollama_list_models()") + actual = cur_with_ollama_host.fetchone()[0] + assert actual is True + + +def test_ollama_list_models(cur, ollama_host): + cur.execute( + "select count(*) > 0 from ai.ollama_list_models(_host=>%s)", (ollama_host,) + ) + actual = cur.fetchone()[0] + assert actual is True + + +def test_ollama_embed(cur, ollama_host): + cur.execute( + """ + select vector_dims + ( + ai.ollama_embed + ( 'llama3' + , 'the purple elephant sits on a red mushroom' + , _host=>%s + ) + ) + """, + (ollama_host,), + ) + actual = cur.fetchone()[0] + assert actual == 4096 + + +def test_ollama_embed_no_host(cur_with_ollama_host): + cur_with_ollama_host.execute(""" + select vector_dims + ( + ai.ollama_embed + ( 'llama3' + , 'the purple elephant sits on a red mushroom' + ) + ) + """) + actual = cur_with_ollama_host.fetchone()[0] + assert actual == 4096 + + +def test_ollama_embed_via_openai(cur, ollama_host): + cur.execute( + """ + select vector_dims + ( + ai.openai_embed + ( 'llama3' + , 'the purple elephant sits on a red mushroom' + , _api_key=>'this is a garbage api key' + , _base_url=>concat(%s::text, '/v1/') + ) + ) + """, + (ollama_host,), + ) + actual = cur.fetchone()[0] + assert actual == 4096 + + +def test_ollama_generate(cur, ollama_host): + cur.execute( + """ + select ai.ollama_generate + ( 'llama3' + , 'what is the typical weather like in Alabama in June' + , _system=>'you are a helpful assistant' + , _host=>%s + , _options=> jsonb_build_object + ( 'seed', 42 + , 'temperature', 0.6 + ) + ) + """, + (ollama_host,), + ) + actual = cur.fetchone()[0] + assert "response" in actual and "done" in actual and actual["done"] is True + + +def test_ollama_generate_no_host(cur_with_ollama_host): + cur_with_ollama_host.execute(""" + select ai.ollama_generate + ( 'llama3' + , 'what is the typical weather like in Alabama in June' + , _system=>'you are a helpful assistant' + , _options=> jsonb_build_object + ( 'seed', 42 + , 'temperature', 0.6 + ) + ) + """) + actual = cur_with_ollama_host.fetchone()[0] + assert "response" in actual and "done" in actual and actual["done"] is True + + +def test_ollama_image(cur_with_ollama_host): + cur_with_ollama_host.execute(""" + select ai.ollama_generate + ( 'llava:7b' + , 'Please describe this image.' + , _images=> array[pg_read_binary_file('/pgai/projects/extension/tests/postgresql-vs-pinecone.jpg')] + , _system=>'you are a helpful assistant' + , _options=> jsonb_build_object + ( 'seed', 42 + , 'temperature', 0.9 + ) + ) + """) + actual = cur_with_ollama_host.fetchone()[0] + assert "response" in actual and "done" in actual and actual["done"] is True + + +def test_ollama_chat_complete(cur, ollama_host): + cur.execute( + """ + select ai.ollama_chat_complete + ( 'llama3' + , jsonb_build_array + ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') + , jsonb_build_object('role', 'user', 'content', 'what is the typical weather like in Alabama in June') + ) + , _host=>%s + , _options=> jsonb_build_object + ( 'seed', 42 + , 'temperature', 0.6 + ) + ) + """, + (ollama_host,), + ) + actual = cur.fetchone()[0] + assert ( + "message" in actual + and "content" in actual["message"] + and "done" in actual + and actual["done"] is True + ) + + +def test_ollama_chat_complete_no_host(cur_with_ollama_host): + cur_with_ollama_host.execute(""" + select ai.ollama_chat_complete + ( 'llama3' + , jsonb_build_array + ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') + , jsonb_build_object('role', 'user', 'content', 'what is the typical weather like in Alabama in June') + ) + , _options=> jsonb_build_object + ( 'seed', 42 + , 'temperature', 0.6 + ) + ) + """) + actual = cur_with_ollama_host.fetchone()[0] + assert ( + "message" in actual + and "content" in actual["message"] + and "done" in actual + and actual["done"] is True + ) + + +def test_ollama_chat_complete_image(cur_with_ollama_host): + cur_with_ollama_host.execute(""" + select ai.ollama_chat_complete + ( 'llava:7b' + , jsonb_build_array + ( jsonb_build_object + ( 'role', 'user' + , 'content', 'describe this image' + , 'images', jsonb_build_array(encode(pg_read_binary_file('/pgai/projects/extension/tests/postgresql-vs-pinecone.jpg'), 'base64')) + ) + ) + , _options=> jsonb_build_object + ( 'seed', 42 + , 'temperature', 0.9 + ) + )->'message'->>'content' + """) + actual = cur_with_ollama_host.fetchone()[0] + assert actual is not None + + +def test_ollama_ps(cur, ollama_host): + cur.execute( + """ + select count(*) filter (where "name" = 'llava:7b') as actual + from ai.ollama_ps(_host=>%s) + """, + (ollama_host,), + ) + actual = cur.fetchone()[0] + assert actual > 0 + + +def test_ollama_ps_no_host(cur_with_ollama_host): + cur_with_ollama_host.execute(""" + select count(*) filter (where "name" = 'llava:7b') as actual + from ai.ollama_ps() + """) + actual = cur_with_ollama_host.fetchone()[0] + assert actual > 0 diff --git a/projects/extension/tests/test_openai.py b/projects/extension/tests/test_openai.py new file mode 100644 index 000000000..dea63b3f8 --- /dev/null +++ b/projects/extension/tests/test_openai.py @@ -0,0 +1,321 @@ +import os + +import psycopg +import pytest + + +# skip tests in this module if disabled +enable_openai_tests = os.getenv("ENABLE_OPENAI_TESTS") +if not enable_openai_tests or enable_openai_tests == "0": + pytest.skip(allow_module_level=True) + + +@pytest.fixture() +def openai_api_key() -> str: + openai_api_key = os.environ["OPENAI_API_KEY"] + return openai_api_key + + +@pytest.fixture() +def cur() -> psycopg.Cursor: + with psycopg.connect("postgres://test@127.0.0.1:5432/test") as con: + with con.cursor() as cur: + yield cur + + +@pytest.fixture() +def cur_with_api_key(openai_api_key, cur) -> psycopg.Cursor: + with cur: + cur.execute( + "select set_config('ai.openai_api_key', %s, false) is not null", + (openai_api_key,), + ) + yield cur + + +def test_openai_list_models(cur, openai_api_key): + cur.execute( + """ + select count(*) > 0 as actual + from ai.openai_list_models(_api_key=>%s) + """, + (openai_api_key,), + ) + actual = cur.fetchone()[0] + assert actual > 0 + + +def test_openai_list_models_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + select count(*) > 0 as actual + from ai.openai_list_models() + """) + actual = cur_with_api_key.fetchone()[0] + assert actual > 0 + + +def test_openai_tokenize(cur): + cur.execute(""" + select ai.openai_tokenize('text-embedding-ada-002', 'the purple elephant sits on a red mushroom')::text as actual + """) + actual = cur.fetchone()[0] + assert actual == "{1820,25977,46840,23874,389,264,2579,58466}" + + +def test_openai_detokenize(cur): + cur.execute(""" + select ai.openai_detokenize('text-embedding-ada-002', array[1820,25977,46840,23874,389,264,2579,58466]) as actual + """) + actual = cur.fetchone()[0] + assert actual == "the purple elephant sits on a red mushroom" + + +def test_openai_embed(cur, openai_api_key): + cur.execute( + """ + select vector_dims + ( + ai.openai_embed + ( 'text-embedding-ada-002' + , 'the purple elephant sits on a red mushroom' + , _api_key=>%s + ) + ) + """, + (openai_api_key,), + ) + actual = cur.fetchone()[0] + assert actual == 1536 + + +def test_openai_embed_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + select vector_dims + ( + ai.openai_embed + ( 'text-embedding-ada-002' + , 'the purple elephant sits on a red mushroom' + ) + ) + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == 1536 + + +def test_openai_embed_2(cur, openai_api_key): + cur.execute( + """ + select vector_dims + ( + ai.openai_embed + ( 'text-embedding-3-large' + , 'the purple elephant sits on a red mushroom' + , _api_key=>%s + , _dimensions=>768 + ) + ) + """, + (openai_api_key,), + ) + actual = cur.fetchone()[0] + assert actual == 768 + + +def test_openai_embed_2_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + select vector_dims + ( + ai.openai_embed + ( 'text-embedding-3-large' + , 'the purple elephant sits on a red mushroom' + , _dimensions=>768 + ) + ) + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == 768 + + +def test_openai_embed_3(cur, openai_api_key): + cur.execute( + """ + select vector_dims + ( + ai.openai_embed + ( 'text-embedding-3-large' + , 'the purple elephant sits on a red mushroom' + , _api_key=>%s + , _user=>'bob' + ) + ) + """, + (openai_api_key,), + ) + actual = cur.fetchone()[0] + assert actual == 3072 + + +def test_openai_embed_3_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + select vector_dims + ( + ai.openai_embed + ( 'text-embedding-3-large' + , 'the purple elephant sits on a red mushroom' + , _user=>'bob' + ) + ) + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == 3072 + + +def test_openai_embed_4(cur_with_api_key): + cur_with_api_key.execute(""" + select sum(vector_dims(embedding)) as actual + from ai.openai_embed + ( 'text-embedding-3-large' + , array['the purple elephant sits on a red mushroom', 'timescale is postgres made powerful'] + ) + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == 6144 + + +def test_openai_embed_5(cur, openai_api_key): + cur.execute( + """ + select vector_dims + ( + ai.openai_embed + ( 'text-embedding-ada-002' + , array[1820,25977,46840,23874,389,264,2579,58466] + , _api_key=>%s + ) + ) + """, + (openai_api_key,), + ) + actual = cur.fetchone()[0] + assert actual == 1536 + + +def test_openai_embed_5_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + select vector_dims + ( + ai.openai_embed + ( 'text-embedding-ada-002' + , array[1820,25977,46840,23874,389,264,2579,58466] + ) + ) + """) + actual = cur_with_api_key.fetchone()[0] + assert actual == 1536 + + +def test_openai_chat_complete(cur, openai_api_key): + cur.execute( + """ + with x as + ( + select ai.openai_chat_complete + ( 'gpt-4o' + , jsonb_build_array + ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') + , jsonb_build_object('role', 'user', 'content', 'what is the typical weather like in Alabama in June') + ) + , _api_key=>%s + ) as actual + ) + select jsonb_extract_path_text(x.actual, 'choices', '0', 'message', 'content') is not null + from x + """, + (openai_api_key,), + ) + actual = cur.fetchone()[0] + assert actual is True + + +def test_openai_chat_complete_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + with x as + ( + select ai.openai_chat_complete + ( 'gpt-4o' + , jsonb_build_array + ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') + , jsonb_build_object('role', 'user', 'content', 'what is the typical weather like in Alabama in June') + ) + ) as actual + ) + select jsonb_extract_path_text(x.actual, 'choices', '0', 'message', 'content') is not null + from x + """) + actual = cur_with_api_key.fetchone()[0] + assert actual is True + + +def test_openai_chat_complete_simple(cur, openai_api_key): + cur.execute( + """ + with x as + ( + select ai.openai_chat_complete_simple('what is the typical weather like in Alabama in June', _api_key=>%s) as actual + ) + select x.actual is not null + from x + """, + (openai_api_key,), + ) + actual = cur.fetchone()[0] + assert actual is True + + +def test_openai_chat_complete_simple_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + with x as + ( + select ai.openai_chat_complete_simple('what is the typical weather like in Alabama in June') as actual + ) + select x.actual is not null + from x + """) + actual = cur_with_api_key.fetchone()[0] + assert actual is True + + +def test_openai_moderate(cur, openai_api_key): + cur.execute( + """ + with x as + ( + select ai.openai_moderate + ( 'text-moderation-stable' + , 'I want to kill them.' + , _api_key=>%s + ) as actual + ) + select jsonb_extract_path_text(x.actual, 'results', '0', 'flagged')::bool + from x + """, + (openai_api_key,), + ) + actual = cur.fetchone()[0] + assert actual is True + + +def test_openai_moderate_no_key(cur_with_api_key): + cur_with_api_key.execute(""" + with x as + ( + select ai.openai_moderate + ( 'text-moderation-stable' + , 'I want to kill them.' + ) as actual + ) + select jsonb_extract_path_text(x.actual, 'results', '0', 'flagged')::bool + from x + """) + actual = cur_with_api_key.fetchone()[0] + assert actual is True diff --git a/projects/extension/tests/vectorizer/__init__.py b/projects/extension/tests/vectorizer/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/projects/extension/tests/vectorizer/server.py b/projects/extension/tests/vectorizer/server.py new file mode 100644 index 000000000..4bfdc0c44 --- /dev/null +++ b/projects/extension/tests/vectorizer/server.py @@ -0,0 +1,170 @@ +from fastapi import FastAPI, Request, status +from fastapi.encoders import jsonable_encoder +from fastapi.exceptions import RequestValidationError +from fastapi.responses import JSONResponse +from pydantic import BaseModel, Field +import psycopg +from typing import Union, Literal +from datetime import datetime + +app = FastAPI() + +DB_URL = "postgres://postgres@127.0.0.1:5432/test" + + +class ChunkingCharacterTextSplitter(BaseModel): + implementation: Literal["character_text_splitter"] + config_type: Literal["chunking"] + chunk_column: str + chunk_size: int + chunk_overlap: int + separator: str | None + is_separator_regex: bool | None + + +class ChunkingRecursiveCharacterTextSplitter(BaseModel): + implementation: Literal["recursive_character_text_splitter"] + config_type: Literal["chunking"] + chunk_column: str + chunk_size: int + chunk_overlap: int + separators: list[str] | None + is_separator_regex: bool | None + + +class EmbeddingOpenAI(BaseModel): + implementation: Literal["openai"] + config_type: Literal["embedding"] + model: str + dimensions: int + user: str | None = None + api_key_name: str | None = "OPENAI_API_KEY" + + +class FormattingPythonTemplate(BaseModel): + implementation: Literal["python_template"] + config_type: Literal["formatting"] + template: str + + +class IndexingNone(BaseModel): + implementation: Literal["none"] + config_type: Literal["indexing"] + + +class IndexingDiskANN(BaseModel): + implementation: Literal["diskann"] + config_type: Literal["indexing"] + min_rows: int + storage_layout: Literal["memory_optimized"] | Literal["plain"] | None = None + num_neighbors: int | None = None + search_list_size: int | None = None + max_alpha: float | None = None + num_dimensions: int | None = None + num_bits_per_dimension: int | None = None + + +class IndexingHNSW(BaseModel): + implementation: Literal["hnsw"] + config_type: Literal["indexing"] + min_rows: int + opclass: ( + Literal["vector_ip_ops"] + | Literal["vector_cosine_ops"] + | Literal["vector_l1_ops"] + | None + ) = None + m: int | None = None + ef_construction: int | None = None + + +class SchedulingNone(BaseModel): + implementation: Literal["none"] + config_type: Literal["scheduling"] + + +class SchedulingPgCron(BaseModel): + implementation: Literal["pg_cron"] + config_type: Literal["scheduling"] + schedule: str + + +class SchedulingTimescaledb(BaseModel): + implementation: Literal["timescaledb"] + config_type: Literal["scheduling"] + schedule_interval: str | None = None + initial_start: datetime | None = None + fixed_schedule: bool | None = None + timezone: str | None = None + + +class ProcessingDefault(BaseModel): + implementation: Literal["default"] + config_type: Literal["processing"] + batch_size: int | None = None + concurrency: int | None = None + + +class Config(BaseModel): + version: str + indexing: Union[IndexingNone, IndexingDiskANN, IndexingHNSW] = Field( + ..., discriminator="implementation" + ) + formatting: FormattingPythonTemplate + embedding: EmbeddingOpenAI + scheduling: Union[SchedulingNone, SchedulingPgCron, SchedulingTimescaledb] = Field( + ..., discriminator="implementation" + ) + chunking: Union[ + ChunkingCharacterTextSplitter, ChunkingRecursiveCharacterTextSplitter + ] = Field(..., discriminator="implementation") + processing: Union[ProcessingDefault] = Field(..., discriminator="implementation") + + +class PrimaryKeyColumn(BaseModel): + attnum: int + pknum: int + attname: str + typname: str + + +class Vectorizer(BaseModel): + id: int + source_schema: str + source_table: str + source_pk: list[PrimaryKeyColumn] + target_schema: str + target_table: str + trigger_name: str + queue_schema: str | None = None + queue_table: str | None = None + config: Config + + +def vectorize(v: Vectorizer) -> int: + # pretend to work the queue + with psycopg.connect(DB_URL) as con: + while True: + with con.cursor() as cur: + cur.execute(f""" + delete from {v.queue_schema}.{v.queue_table} + """) + return cur.rowcount + + +@app.exception_handler(RequestValidationError) +async def validation_exception_handler(request: Request, exc: RequestValidationError): + return JSONResponse( + status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, + content=jsonable_encoder({"detail": exc.errors(), "body": exc.body}), + ) + + +@app.post("/api/v1/events") +async def execute_vectorizer(vectorizer: Vectorizer): + print(f"execute vectorizer: {vectorizer.id}") + # do this in a blocking manner to make the tests easier + # we KNOW that when the HTTP request has returned that the work has been done + deleted = vectorize(vectorizer) + print(f"queue emptied: {deleted} rows deleted") + return {"id": vectorizer.id} diff --git a/projects/extension/tests/vectorizer/test_chunking.py b/projects/extension/tests/vectorizer/test_chunking.py new file mode 100644 index 000000000..de78f4f74 --- /dev/null +++ b/projects/extension/tests/vectorizer/test_chunking.py @@ -0,0 +1,214 @@ +import os + +import psycopg +import pytest + +# skip tests in this module if disabled +enable_vectorizer_tests = os.getenv("ENABLE_VECTORIZER_TESTS") +if enable_vectorizer_tests == "0": + pytest.skip(allow_module_level=True) + + +def db_url(user: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/test" + + +def test_chunking_character_text_splitter(): + tests = [ + ( + "select ai.chunking_character_text_splitter('body')", + { + "separator": "\n\n", + "is_separator_regex": False, + "chunk_size": 800, + "chunk_column": "body", + "chunk_overlap": 400, + "implementation": "character_text_splitter", + "config_type": "chunking", + }, + ), + ( + "select ai.chunking_character_text_splitter('body', 128, 10)", + { + "separator": "\n\n", + "is_separator_regex": False, + "chunk_size": 128, + "chunk_column": "body", + "chunk_overlap": 10, + "implementation": "character_text_splitter", + "config_type": "chunking", + }, + ), + ( + "select ai.chunking_character_text_splitter('content', 256, 20, separator=>E'\n;')", + { + "separator": "\n;", + "is_separator_regex": False, + "chunk_size": 256, + "chunk_column": "content", + "chunk_overlap": 20, + "implementation": "character_text_splitter", + "config_type": "chunking", + }, + ), + ( + r""" + select ai.chunking_character_text_splitter + ( 'content' + , 256 + , 20 + , separator=>'(\s+)' + , is_separator_regex=>true + ) + """, + { + "separator": r"(\s+)", + "is_separator_regex": True, + "chunk_size": 256, + "chunk_column": "content", + "chunk_overlap": 20, + "implementation": "character_text_splitter", + "config_type": "chunking", + }, + ), + ] + with psycopg.connect(db_url("test")) as con: + with con.cursor() as cur: + for query, expected in tests: + cur.execute(query) + actual = cur.fetchone()[0] + assert actual.keys() == expected.keys() + for k, v in actual.items(): + assert k in expected and v == expected[k] + + +def test_chunking_recursive_character_text_splitter(): + tests = [ + ( + "select ai.chunking_recursive_character_text_splitter('body')", + { + "separators": ["\n\n", "\n", ".", "?", "!", " ", ""], + "is_separator_regex": False, + "chunk_size": 800, + "chunk_column": "body", + "chunk_overlap": 400, + "implementation": "recursive_character_text_splitter", + "config_type": "chunking", + }, + ), + ( + "select ai.chunking_recursive_character_text_splitter('body', 128, 10)", + { + "separators": ["\n\n", "\n", ".", "?", "!", " ", ""], + "is_separator_regex": False, + "chunk_size": 128, + "chunk_column": "body", + "chunk_overlap": 10, + "implementation": "recursive_character_text_splitter", + "config_type": "chunking", + }, + ), + ( + "select ai.chunking_recursive_character_text_splitter('content', 256, 20, separators=>array[E'\n;', ' '])", + { + "separators": ["\n;", " "], + "is_separator_regex": False, + "chunk_size": 256, + "chunk_column": "content", + "chunk_overlap": 20, + "implementation": "recursive_character_text_splitter", + "config_type": "chunking", + }, + ), + ( + r""" + select ai.chunking_recursive_character_text_splitter + ( 'content' + , 256 + , 20 + , separators=>array['(\s+)'] + , is_separator_regex=>true + ) + """, + { + "separators": [r"(\s+)"], + "is_separator_regex": True, + "chunk_size": 256, + "chunk_column": "content", + "chunk_overlap": 20, + "implementation": "recursive_character_text_splitter", + "config_type": "chunking", + }, + ), + ] + with psycopg.connect(db_url("test")) as con: + with con.cursor() as cur: + for query, expected in tests: + cur.execute(query) + actual = cur.fetchone()[0] + assert actual.keys() == expected.keys() + for k, v in actual.items(): + assert k in expected and v == expected[k] + + +def test_validate_chunking(): + ok = [ + """ + select ai._validate_chunking + ( ai.chunking_character_text_splitter('body', 128, 10) + , 'public', 'thing' + ) + """, + """ + select ai._validate_chunking + ( ai.chunking_recursive_character_text_splitter('body', 128, 10) + , 'public', 'thing' + ) + """, + ] + bad = [ + ( + """ + select ai._validate_chunking + ( ai.chunking_character_text_splitter('content', 128, 10) + , 'public', 'thing' + ) + """, + "chunk column in config does not exist in the table: content", + ), + ( + """ + select ai._validate_chunking + ( ai.chunking_recursive_character_text_splitter('content', 128, 10) + , 'public', 'thing' + ) + """, + "chunk column in config does not exist in the table: content", + ), + ( + """ + select ai._validate_chunking + ( ai.scheduling_none() + , 'public', 'thing' + ) + """, + "invalid config_type for chunking config", + ), + ] + with psycopg.connect(db_url("test"), autocommit=True) as con: + with con.cursor() as cur: + cur.execute("drop table if exists public.thing;") + cur.execute( + "create table public.thing (id int, color text, weight float, body text)" + ) + for query in ok: + cur.execute(query) + assert True + for query, err in bad: + try: + cur.execute(query) + except psycopg.ProgrammingError as ex: + msg = str(ex.args[0]) + assert len(msg) >= len(err) and msg[: len(err)] == err + else: + pytest.fail(f"expected exception: {err}") diff --git a/projects/extension/tests/vectorizer/test_embedding.py b/projects/extension/tests/vectorizer/test_embedding.py new file mode 100644 index 000000000..030f570cf --- /dev/null +++ b/projects/extension/tests/vectorizer/test_embedding.py @@ -0,0 +1,90 @@ +import os + +import psycopg +import pytest + +# skip tests in this module if disabled +enable_vectorizer_tests = os.getenv("ENABLE_VECTORIZER_TESTS") +if enable_vectorizer_tests == "0": + pytest.skip(allow_module_level=True) + + +def db_url(user: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/test" + + +def test_embedding_openai(): + tests = [ + ( + "select ai.embedding_openai('text-embedding-3-small', 128)", + { + "implementation": "openai", + "config_type": "embedding", + "model": "text-embedding-3-small", + "dimensions": 128, + "api_key_name": "OPENAI_API_KEY", + }, + ), + ( + """select ai.embedding_openai('text-embedding-3-small', 128, chat_user=>'bob')""", + { + "implementation": "openai", + "config_type": "embedding", + "model": "text-embedding-3-small", + "dimensions": 128, + "user": "bob", + "api_key_name": "OPENAI_API_KEY", + }, + ), + ( + "select ai.embedding_openai('text-embedding-3-small', 128, api_key_name=>'DEV_API_KEY')", + { + "implementation": "openai", + "config_type": "embedding", + "model": "text-embedding-3-small", + "dimensions": 128, + "api_key_name": "DEV_API_KEY", + }, + ), + ] + with psycopg.connect(db_url("test")) as con: + with con.cursor() as cur: + for query, expected in tests: + cur.execute(query) + actual = cur.fetchone()[0] + assert actual.keys() == expected.keys() + for k, v in actual.items(): + assert k in expected and v == expected[k] + + +def test_validate_embedding(): + ok = [ + "select ai._validate_embedding( ai.embedding_openai('text-embedding-3-small', 756))", + ] + bad = [ + ( + "select ai._validate_embedding(ai.chunking_character_text_splitter('content', 128, 10))", + "invalid config_type for embedding config", + ), + ( + """select ai._validate_embedding('{"config_type": "embedding"}')""", + "embedding implementation not specified", + ), + ( + """select ai._validate_embedding('{"config_type": "embedding", "implementation": "bob"}')""", + 'invalid embedding implementation: "bob"', + ), + ] + with psycopg.connect(db_url("test"), autocommit=True) as con: + with con.cursor() as cur: + for query in ok: + cur.execute(query) + assert True + for query, err in bad: + try: + cur.execute(query) + except psycopg.ProgrammingError as ex: + msg = str(ex.args[0]) + assert len(msg) >= len(err) and msg[: len(err)] == err + else: + pytest.fail(f"expected exception: {err}") diff --git a/projects/extension/tests/vectorizer/test_formatting.py b/projects/extension/tests/vectorizer/test_formatting.py new file mode 100644 index 000000000..1c36f01c0 --- /dev/null +++ b/projects/extension/tests/vectorizer/test_formatting.py @@ -0,0 +1,134 @@ +import os + +import psycopg +import pytest + +# skip tests in this module if disabled +enable_vectorizer_tests = os.getenv("ENABLE_VECTORIZER_TESTS") +if enable_vectorizer_tests == "0": + pytest.skip(allow_module_level=True) + + +def db_url(user: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/test" + + +def test_formatting_python_template(): + tests = [ + ( + """ + select ai.formatting_python_template() + """, + { + "implementation": "python_template", + "config_type": "formatting", + "template": "$chunk", + }, + ), + ( + """ + select ai.formatting_python_template + ( 'size: $size shape: $shape $chunk' + ) + """, + { + "implementation": "python_template", + "config_type": "formatting", + "template": "size: $size shape: $shape $chunk", + }, + ), + ] + with psycopg.connect(db_url("test")) as con: + with con.cursor() as cur: + for query, expected in tests: + cur.execute(query) + actual = cur.fetchone()[0] + assert actual.keys() == expected.keys() + for k, v in actual.items(): + assert k in expected and v == expected[k] + + +def test_validate_formatting(): + ok = [ + """ + select ai._validate_formatting + ( ai.formatting_python_template() + , 'public', 'thing' + ) + """, + """ + select ai._validate_formatting + ( ai.formatting_python_template('color: $color weight: $weight $chunk') + , 'public', 'thing' + ) + """, + ] + bad = [ + ( + """ + select ai._validate_formatting + ( ai.scheduling_none() + , 'public', 'thing' + ) + """, + "invalid config_type for formatting config", + ), + ( + """ + select ai._validate_formatting + ( '{"implementation": "jinja2", "config_type": "formatting"}'::jsonb + , 'public', 'thing' + ) + """, + "unrecognized formatting implementation", + ), + ( + """ + select ai._validate_formatting + ( ai.formatting_python_template + ( 'color: $color weight: $weight height: $height' -- no $chunk + ) + , 'public', 'thing' + ) + """, + "template must contain $chunk placeholder", + ), + ( + """ + select ai._validate_formatting + ( ai.formatting_python_template + ( 'color: $color weight: $weight height: $height $chunk' + ) + , 'public', 'thing2' -- has a column named "chunk" + ) + """, + 'formatting_python_template may not be used when source table has a column named "chunk"', + ), + ( + """ + select ai._validate_formatting + ( ai.scheduling_none() + , 'public', 'thing2' -- has a column named "chunk" + ) + """, + "invalid config_type for formatting config", + ), + ] + with psycopg.connect(db_url("test"), autocommit=True) as con: + with con.cursor() as cur: + cur.execute("drop table if exists public.thing;") + cur.execute("create table public.thing (id int, color text, weight float)") + cur.execute("drop table if exists public.thing2;") + cur.execute( + "create table public.thing2 (id int, color text, weight float, chunk text)" + ) + for query in ok: + cur.execute(query) + for query, err in bad: + try: + cur.execute(query) + except psycopg.ProgrammingError as ex: + msg = str(ex.args[0]) + assert len(msg) >= len(err) and msg[: len(err)] == err + else: + pytest.fail(f"expected exception: {err}") diff --git a/projects/extension/tests/vectorizer/test_indexing.py b/projects/extension/tests/vectorizer/test_indexing.py new file mode 100644 index 000000000..5ec08f6dd --- /dev/null +++ b/projects/extension/tests/vectorizer/test_indexing.py @@ -0,0 +1,244 @@ +import os + +import psycopg +import pytest + +# skip tests in this module if disabled +enable_vectorizer_tests = os.getenv("ENABLE_VECTORIZER_TESTS") +if enable_vectorizer_tests == "0": + pytest.skip(allow_module_level=True) + + +def db_url(user: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/test" + + +def test_indexing_none(): + tests = [ + ( + "select ai.indexing_none()", + { + "implementation": "none", + "config_type": "indexing", + }, + ), + ] + with psycopg.connect(db_url("test")) as con: + with con.cursor() as cur: + for query, expected in tests: + cur.execute(query) + actual = cur.fetchone()[0] + assert actual.keys() == expected.keys() + for k, v in actual.items(): + assert k in expected and v == expected[k] + + +def test_indexing_diskann(): + tests = [ + ( + "select ai.indexing_diskann()", + { + "implementation": "diskann", + "config_type": "indexing", + "min_rows": 100_000, + "create_when_queue_empty": True, + }, + ), + ( + "select ai.indexing_diskann(min_rows=>500)", + { + "implementation": "diskann", + "config_type": "indexing", + "min_rows": 500, + "create_when_queue_empty": True, + }, + ), + ( + "select ai.indexing_diskann(storage_layout=>'plain')", + { + "implementation": "diskann", + "config_type": "indexing", + "min_rows": 100_000, + "storage_layout": "plain", + "create_when_queue_empty": True, + }, + ), + ( + "select ai.indexing_diskann(storage_layout=>'plain', create_when_queue_empty=>false)", + { + "implementation": "diskann", + "config_type": "indexing", + "min_rows": 100_000, + "storage_layout": "plain", + "create_when_queue_empty": False, + }, + ), + ( + """ + select ai.indexing_diskann + ( storage_layout=>'memory_optimized' + , num_neighbors=>50 + , search_list_size=>150 + , max_alpha=>1.2 + , num_dimensions=>768 + , num_bits_per_dimension=>2 + ) + """, + { + "implementation": "diskann", + "config_type": "indexing", + "min_rows": 100_000, + "storage_layout": "memory_optimized", + "num_neighbors": 50, + "search_list_size": 150, + "max_alpha": 1.2, + "num_dimensions": 768, + "num_bits_per_dimension": 2, + "create_when_queue_empty": True, + }, + ), + ( + """ + select ai.indexing_diskann + ( storage_layout=>'memory_optimized' + , num_neighbors=>50 + , search_list_size=>150 + , max_alpha=>1.2 + , num_dimensions=>768 + , num_bits_per_dimension=>2 + , create_when_queue_empty=>false + ) + """, + { + "implementation": "diskann", + "config_type": "indexing", + "min_rows": 100_000, + "storage_layout": "memory_optimized", + "num_neighbors": 50, + "search_list_size": 150, + "max_alpha": 1.2, + "num_dimensions": 768, + "num_bits_per_dimension": 2, + "create_when_queue_empty": False, + }, + ), + ] + with psycopg.connect(db_url("test")) as con: + with con.cursor() as cur: + for query, expected in tests: + cur.execute(query) + actual = cur.fetchone()[0] + assert actual.keys() == expected.keys() + for k, v in actual.items(): + assert k in expected and v == expected[k] + + +def test_indexing_hnsw(): + tests = [ + ( + "select ai.indexing_hnsw()", + { + "implementation": "hnsw", + "config_type": "indexing", + "min_rows": 100_000, + "opclass": "vector_cosine_ops", + "create_when_queue_empty": True, + }, + ), + ( + "select ai.indexing_hnsw(min_rows=>500)", + { + "implementation": "hnsw", + "config_type": "indexing", + "min_rows": 500, + "opclass": "vector_cosine_ops", + "create_when_queue_empty": True, + }, + ), + ( + "select ai.indexing_hnsw(opclass=>'vector_l1_ops')", + { + "implementation": "hnsw", + "config_type": "indexing", + "min_rows": 100_000, + "opclass": "vector_l1_ops", + "create_when_queue_empty": True, + }, + ), + ( + "select ai.indexing_hnsw(m=>10, ef_construction=>100)", + { + "implementation": "hnsw", + "config_type": "indexing", + "min_rows": 100_000, + "m": 10, + "ef_construction": 100, + "opclass": "vector_cosine_ops", + "create_when_queue_empty": True, + }, + ), + ( + "select ai.indexing_hnsw(m=>10, ef_construction=>100, create_when_queue_empty=>false)", + { + "implementation": "hnsw", + "config_type": "indexing", + "min_rows": 100_000, + "m": 10, + "ef_construction": 100, + "opclass": "vector_cosine_ops", + "create_when_queue_empty": False, + }, + ), + ] + with psycopg.connect(db_url("test")) as con: + with con.cursor() as cur: + for query, expected in tests: + cur.execute(query) + actual = cur.fetchone()[0] + assert actual.keys() == expected.keys() + for k, v in actual.items(): + assert k in expected and v == expected[k] + + +def test_validate_indexing(): + ok = [ + "select ai._validate_indexing(ai.indexing_none())", + "select ai._validate_indexing(ai.indexing_hnsw())", + "select ai._validate_indexing(ai.indexing_hnsw(opclass=>'vector_ip_ops'))", + "select ai._validate_indexing(ai.indexing_hnsw(opclass=>'vector_cosine_ops'))", + "select ai._validate_indexing(ai.indexing_hnsw(opclass=>'vector_l1_ops'))", + "select ai._validate_indexing(ai.indexing_hnsw(opclass=>null))", + "select ai._validate_indexing(ai.indexing_hnsw(create_when_queue_empty=>false))", + "select ai._validate_indexing(ai.indexing_diskann())", + "select ai._validate_indexing(ai.indexing_diskann(storage_layout=>'plain'))", + "select ai._validate_indexing(ai.indexing_diskann(storage_layout=>'memory_optimized'))", + "select ai._validate_indexing(ai.indexing_diskann(storage_layout=>null))", + "select ai._validate_indexing(ai.indexing_diskann(create_when_queue_empty=>false))", + ] + bad = [ + ( + "select ai._validate_indexing(ai.indexing_hnsw(opclass=>'peter'))", + "invalid opclass", + ), + ( + "select ai._validate_indexing(ai.indexing_diskann(storage_layout=>'super_advanced'))", + "invalid storage", + ), + ( + "select ai._validate_indexing(ai.scheduling_none())", + "invalid config_type for indexing config", + ), + ] + with psycopg.connect(db_url("test"), autocommit=True) as con: + with con.cursor() as cur: + for query in ok: + cur.execute(query) + assert True + for query, err in bad: + try: + cur.execute(query) + except psycopg.ProgrammingError as ex: + msg = str(ex.args[0]) + assert len(msg) >= len(err) and msg[: len(err)] == err + else: + pytest.fail(f"expected exception: {err}") diff --git a/projects/extension/tests/vectorizer/test_processing.py b/projects/extension/tests/vectorizer/test_processing.py new file mode 100644 index 000000000..056cc47d4 --- /dev/null +++ b/projects/extension/tests/vectorizer/test_processing.py @@ -0,0 +1,131 @@ +import os + +import psycopg +import pytest + +# skip tests in this module if disabled +enable_vectorizer_tests = os.getenv("ENABLE_VECTORIZER_TESTS") +if enable_vectorizer_tests == "0": + pytest.skip(allow_module_level=True) + + +def db_url(user: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/test" + + +def test_processing_default(): + tests = [ + ( + "select ai.processing_default()", + { + "implementation": "default", + "config_type": "processing", + }, + ), + ( + "select ai.processing_default(batch_size=>500)", + { + "implementation": "default", + "config_type": "processing", + "batch_size": 500, + }, + ), + ( + "select ai.processing_default(concurrency=>3)", + { + "implementation": "default", + "config_type": "processing", + "concurrency": 3, + }, + ), + ( + "select ai.processing_default(batch_size=>500, concurrency=>3)", + { + "implementation": "default", + "config_type": "processing", + "batch_size": 500, + "concurrency": 3, + }, + ), + ] + with psycopg.connect(db_url("test")) as con: + with con.cursor() as cur: + for query, expected in tests: + cur.execute(query) + actual = cur.fetchone()[0] + assert actual.keys() == expected.keys() + for k, v in actual.items(): + assert k in expected and v == expected[k] + + +def test_validate_processing(): + ok = [ + "select ai._validate_processing(ai.processing_default())", + "select ai._validate_processing(ai.processing_default(batch_size=>500))", + "select ai._validate_processing(ai.processing_default(batch_size=>2048))", + "select ai._validate_processing(ai.processing_default(batch_size=>2048, concurrency=>1))", + "select ai._validate_processing(ai.processing_default(concurrency=>10))", + ] + bad = [ + ( + "select ai._validate_processing(ai.indexing_hnsw())", + "invalid config_type for processing config", + ), + ( + """select ai._validate_processing('{"config_type": "processing"}'::jsonb)""", + "processing implementation not specified", + ), + ( + """ + select ai._validate_processing + ( '{"config_type": "processing", "implementation": "grandfather clock"}'::jsonb + ) + """, + 'unrecognized processing implementation: "grandfather clock"', + ), + ( + """ + select ai._validate_processing + ( ai.processing_default(batch_size=>2049) + ) + """, + "batch_size must be less than or equal to 2048", + ), + ( + """ + select ai._validate_processing + ( ai.processing_default(batch_size=>0) + ) + """, + "batch_size must be greater than 0", + ), + ( + """ + select ai._validate_processing + ( ai.processing_default(concurrency=>0) + ) + """, + "concurrency must be greater than 0", + ), + ( + """ + select ai._validate_processing + ( ai.processing_default(concurrency=>51) + ) + """, + "concurrency must be less than or equal to 50", + ), + ] + with psycopg.connect(db_url("test"), autocommit=True) as con: + with con.cursor() as cur: + for query in ok: + cur.execute(query) + assert True + for query, err in bad: + try: + cur.execute(query) + except psycopg.ProgrammingError as ex: + msg = str(ex.args[0]) + assert len(msg) >= len(err) and msg[: len(err)] == err + else: + pytest.fail(f"expected exception: {err}") diff --git a/projects/extension/tests/vectorizer/test_scheduling.py b/projects/extension/tests/vectorizer/test_scheduling.py new file mode 100644 index 000000000..d11ce8abb --- /dev/null +++ b/projects/extension/tests/vectorizer/test_scheduling.py @@ -0,0 +1,137 @@ +import os + +import psycopg +import pytest + +# skip tests in this module if disabled +enable_vectorizer_tests = os.getenv("ENABLE_VECTORIZER_TESTS") +if enable_vectorizer_tests == "0": + pytest.skip(allow_module_level=True) + + +def db_url(user: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/test" + + +def test_scheduling_none(): + tests = [ + ( + "select ai.scheduling_none()", + { + "implementation": "none", + "config_type": "scheduling", + }, + ), + ] + with psycopg.connect(db_url("test")) as con: + with con.cursor() as cur: + for query, expected in tests: + cur.execute(query) + actual = cur.fetchone()[0] + assert actual.keys() == expected.keys() + for k, v in actual.items(): + assert k in expected and v == expected[k] + + +def test_scheduling_timescaledb(): + tests = [ + ( + "select ai.scheduling_timescaledb()", + { + "implementation": "timescaledb", + "config_type": "scheduling", + "schedule_interval": "00:05:00", + }, + ), + ( + "select ai.scheduling_timescaledb(interval '10m')", + { + "implementation": "timescaledb", + "config_type": "scheduling", + "schedule_interval": "00:10:00", + }, + ), + ( + "select ai.scheduling_timescaledb(interval '1h', timezone=>'America/Chicago')", + { + "implementation": "timescaledb", + "config_type": "scheduling", + "schedule_interval": "01:00:00", + "timezone": "America/Chicago", + }, + ), + ( + "select ai.scheduling_timescaledb(interval '10m', fixed_schedule=>true, timezone=>'America/Chicago')", + { + "implementation": "timescaledb", + "config_type": "scheduling", + "schedule_interval": "00:10:00", + "timezone": "America/Chicago", + "fixed_schedule": True, + }, + ), + ( + """ + select ai.scheduling_timescaledb + ( interval '15m' + , initial_start=>'2025-01-06 America/Chicago'::timestamptz + , fixed_schedule=>false + , timezone=>'America/Chicago' + ) + """, + { + "implementation": "timescaledb", + "config_type": "scheduling", + "schedule_interval": "00:15:00", + "timezone": "America/Chicago", + "fixed_schedule": False, + "initial_start": "2025-01-06T06:00:00+00:00", + }, + ), + ] + with psycopg.connect(db_url("test")) as con: + with con.cursor() as cur: + for query, expected in tests: + cur.execute(query) + actual = cur.fetchone()[0] + assert actual.keys() == expected.keys() + for k, v in actual.items(): + assert k in expected and v == expected[k] + + +def test_validate_scheduling(): + ok = [ + "select ai._validate_scheduling(ai.scheduling_none())", + "select ai._validate_scheduling(ai.scheduling_timescaledb())", + ] + bad = [ + ( + "select ai._validate_scheduling(ai.indexing_hnsw(opclass=>'peter'))", + "invalid config_type for scheduling config", + ), + ( + """select ai._validate_scheduling('{"config_type": "scheduling"}'::jsonb)""", + "scheduling implementation not specified", + ), + ( + """ + select ai._validate_scheduling + ( '{"config_type": "scheduling", "implementation": "grandfather clock"}'::jsonb + ) + """, + 'unrecognized scheduling implementation: "grandfather clock"', + ), + ] + with psycopg.connect(db_url("test"), autocommit=True) as con: + with con.cursor() as cur: + for query in ok: + cur.execute(query) + assert True + for query, err in bad: + try: + cur.execute(query) + except psycopg.ProgrammingError as ex: + msg = str(ex.args[0]) + assert len(msg) >= len(err) and msg[: len(err)] == err + else: + pytest.fail(f"expected exception: {err}") diff --git a/projects/extension/tests/vectorizer/test_vectorizer.py b/projects/extension/tests/vectorizer/test_vectorizer.py new file mode 100644 index 000000000..1ad1ee14c --- /dev/null +++ b/projects/extension/tests/vectorizer/test_vectorizer.py @@ -0,0 +1,1170 @@ +import json +import os +import subprocess + +import psycopg +import pytest +from psycopg.rows import namedtuple_row + +# skip tests in this module if disabled +enable_vectorizer_tests = os.getenv("ENABLE_VECTORIZER_TESTS") +if enable_vectorizer_tests == "0": + pytest.skip(allow_module_level=True) + + +VECTORIZER_ROW = r""" +{ + "id": 1, + "config": { + "chunking": { + "separator": "\n\n", + "chunk_size": 128, + "config_type": "chunking", + "chunk_column": "body", + "chunk_overlap": 10, + "implementation": "character_text_splitter", + "is_separator_regex": false + }, + "indexing": { + "min_rows": 100000, + "config_type": "indexing", + "create_when_queue_empty": true, + "implementation": "diskann" + }, + "embedding": { + "model": "text-embedding-3-small", + "dimensions": 768, + "config_type": "embedding", + "api_key_name": "OPENAI_API_KEY", + "implementation": "openai" + }, + "formatting": { + "template": "title: $title published: $published $chunk", + "config_type": "formatting", + "implementation": "python_template" + }, + "processing": { + "config_type": "processing", + "implementation": "default" + }, + "scheduling": { + "job_id": 1000, + "timezone": "America/Chicago", + "config_type": "scheduling", + "initial_start": "2050-01-06T00:00:00+00:00", + "implementation": "timescaledb", + "schedule_interval": "00:05:00" + } + }, + "source_pk": [ + { + "pknum": 1, + "attnum": 2, + "attname": "title", + "typname": "text" + }, + { + "pknum": 2, + "attnum": 3, + "attname": "published", + "typname": "timestamptz" + } + ], + "view_name": "blog_embedding", + "queue_table": "_vectorizer_q_1", + "view_schema": "website", + "queue_schema": "ai", + "source_table": "blog", + "target_table": "blog_embedding_store", + "trigger_name": "_vectorizer_src_trg_1", + "source_schema": "website", + "target_schema": "website" +} +""" + + +SOURCE_TABLE = """ + Table "website.blog" + Column | Type | Collation | Nullable | Default | Storage | Compression | Stats target | Description +-----------+--------------------------+-----------+----------+------------------------------+----------+-------------+--------------+------------- + id | integer | | not null | generated always as identity | plain | | | + title | text | | not null | | extended | | | + published | timestamp with time zone | | not null | | plain | | | + body | text | | not null | | extended | | | +Indexes: + "blog_pkey" PRIMARY KEY, btree (title, published) +Referenced by: + TABLE "website.blog_embedding_store" CONSTRAINT "blog_embedding_store_title_published_fkey" FOREIGN KEY (title, published) REFERENCES website.blog(title, published) ON DELETE CASCADE +Triggers: + _vectorizer_src_trg_1 AFTER INSERT OR UPDATE ON website.blog FOR EACH ROW EXECUTE FUNCTION ai._vectorizer_src_trg_1() +Access method: heap +""".strip() + + +SOURCE_TRIGGER_FUNC = """ + List of functions + Schema | Name | Result data type | Argument data types | Type | Volatility | Parallel | Owner | Security | Access privileges | Language | Internal name | Description +--------+-----------------------+------------------+---------------------+------+------------+----------+-------+----------+-------------------+----------+---------------+------------- + ai | _vectorizer_src_trg_1 | trigger | | func | volatile | safe | test | definer | test=X/test | plpgsql | | +(1 row) +""".strip() + + +TARGET_TABLE = """ + Table "website.blog_embedding_store" + Column | Type | Collation | Nullable | Default | Storage | Compression | Stats target | Description +----------------+--------------------------+-----------+----------+-------------------+----------+-------------+--------------+------------- + embedding_uuid | uuid | | not null | gen_random_uuid() | plain | | | + title | text | | not null | | extended | | | + published | timestamp with time zone | | not null | | plain | | | + chunk_seq | integer | | not null | | plain | | | + chunk | text | | not null | | extended | | | + embedding | vector(768) | | not null | | external | | | +Indexes: + "blog_embedding_store_pkey" PRIMARY KEY, btree (embedding_uuid) + "blog_embedding_store_title_published_chunk_seq_key" UNIQUE CONSTRAINT, btree (title, published, chunk_seq) +Foreign-key constraints: + "blog_embedding_store_title_published_fkey" FOREIGN KEY (title, published) REFERENCES website.blog(title, published) ON DELETE CASCADE +Access method: heap +""".strip() + + +QUEUE_TABLE = """ + Table "ai._vectorizer_q_1" + Column | Type | Collation | Nullable | Default | Storage | Compression | Stats target | Description +-----------+--------------------------+-----------+----------+---------+----------+-------------+--------------+------------- + title | text | | not null | | extended | | | + published | timestamp with time zone | | not null | | plain | | | + queued_at | timestamp with time zone | | not null | now() | plain | | | +Indexes: + "_vectorizer_q_1_title_published_idx" btree (title, published) +Access method: heap +""".strip() + + +VIEW = """ + View "website.blog_embedding" + Column | Type | Collation | Nullable | Default | Storage | Description +----------------+--------------------------+-----------+----------+---------+----------+------------- + embedding_uuid | uuid | | | | plain | + chunk_seq | integer | | | | plain | + chunk | text | | | | extended | + embedding | vector(768) | | | | external | + id | integer | | | | plain | + title | text | | | | extended | + published | timestamp with time zone | | | | plain | + body | text | | | | extended | +View definition: + SELECT t.embedding_uuid, + t.chunk_seq, + t.chunk, + t.embedding, + s.id, + t.title, + t.published, + s.body + FROM website.blog_embedding_store t + LEFT JOIN website.blog s ON t.title = s.title AND t.published = s.published; +""".strip() + + +def db_url(user: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/test" + + +def psql_cmd(cmd: str) -> str: + cmd = f'''psql -X -d "{db_url('test')}" -c "{cmd}"''' + proc = subprocess.run(cmd, shell=True, check=True, text=True, capture_output=True) + return str(proc.stdout).strip() + + +def test_vectorizer_timescaledb(): + with psycopg.connect( + db_url("postgres"), autocommit=True, row_factory=namedtuple_row + ) as con: + with con.cursor() as cur: + cur.execute("create extension if not exists timescaledb") + cur.execute("select to_regrole('bob') is null") + if cur.fetchone()[0] is True: + cur.execute("create user bob") + cur.execute("select to_regrole('adelaide') is null") + if cur.fetchone()[0] is True: + cur.execute("create user adelaide") + with psycopg.connect( + db_url("test"), autocommit=True, row_factory=namedtuple_row + ) as con: + with con.cursor() as cur: + cur.execute("drop schema if exists website cascade") + cur.execute("create schema website") + cur.execute("drop table if exists website.blog") + cur.execute(""" + create table website.blog + ( id int not null generated always as identity + , title text not null + , published timestamptz + , body text not null + , primary key (title, published) + ) + """) + cur.execute( + """grant select, insert, update, delete on website.blog to bob, adelaide""" + ) + cur.execute("""grant usage on schema website to adelaide""") + cur.execute(""" + insert into website.blog(title, published, body) + values + ('how to cook a hot dog', '2024-01-06'::timestamptz, 'put it on a hot grill') + , ('how to make a sandwich', '2023-01-06'::timestamptz, 'put a slice of meat between two pieces of bread') + , ('how to make stir fry', '2022-01-06'::timestamptz, 'pick up the phone and order takeout') + """) + + # create a vectorizer for the blog table + # language=PostgreSQL + cur.execute(""" + select ai.create_vectorizer + ( 'website.blog'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 768) + , chunking=>ai.chunking_character_text_splitter('body', 128, 10) + , formatting=>ai.formatting_python_template('title: $title published: $published $chunk') + , scheduling=>ai.scheduling_timescaledb + ( interval '5m' + , initial_start=>'2050-01-06'::timestamptz + , timezone=>'America/Chicago' + ) + , grant_to=>array['bob', 'fernando'] -- bob is good. fernando doesn't exist. don't grant to adelaide + ); + """) + vectorizer_id = cur.fetchone()[0] + + # check the vectorizer that was created + cur.execute( + """ + select jsonb_pretty(to_jsonb(x) #- array['config', 'version']) + from ai.vectorizer x + where x.id = %s + """, + (vectorizer_id,), + ) + actual = json.dumps(json.loads(cur.fetchone()[0]), sort_keys=True, indent=2) + expected = json.dumps(json.loads(VECTORIZER_ROW), sort_keys=True, indent=2) + assert actual == expected + + cur.execute("select * from ai.vectorizer where id = %s", (vectorizer_id,)) + vec = cur.fetchone() + + # check that the queue has 3 rows + cur.execute("select ai.vectorizer_queue_pending(%s)", (vectorizer_id,)) + actual = cur.fetchone()[0] + assert actual == 3 + + # bob should have select on the source table + cur.execute("select has_table_privilege('bob', 'website.blog', 'select')") + actual = cur.fetchone()[0] + assert actual + + # bob should have select, update, delete on the queue table + cur.execute( + f"select has_table_privilege('bob', '{vec.queue_schema}.{vec.queue_table}', 'select, update, delete')" + ) + actual = cur.fetchone()[0] + assert actual + + # bob should have select, insert, update on the target table + cur.execute( + f"select has_table_privilege('bob', '{vec.target_schema}.{vec.target_table}', 'select, insert, update')" + ) + actual = cur.fetchone()[0] + assert actual + + # bob should have select on the view + cur.execute( + f"select has_table_privilege('bob', '{vec.view_schema}.{vec.view_name}', 'select')" + ) + actual = cur.fetchone()[0] + assert actual + + # bob should have select on the vectorizer table + cur.execute("select has_table_privilege('bob', 'ai.vectorizer', 'select')") + actual = cur.fetchone()[0] + assert actual + + # get timescaledb job's job_id + cur.execute( + """ + select (x.config->'scheduling'->>'job_id')::int + from ai.vectorizer x + where x.id = %s + """, + (vectorizer_id,), + ) + job_id = cur.fetchone()[0] + + # check the timescaledb job that was created + cur.execute( + """ + select j.schedule_interval = interval '5m' + and j.proc_schema = 'ai' + and j.proc_name = '_vectorizer_job' + and j.scheduled = true + and j.fixed_schedule = true + as is_ok + from timescaledb_information.jobs j + where j.job_id = %s + """, + (job_id,), + ) + actual = cur.fetchone()[0] + assert actual is True + + # run the timescaledb background job explicitly + cur.execute("call public.run_job(%s)", (job_id,)) + + # check that the queue has 0 rows + cur.execute("select ai.vectorizer_queue_pending(%s)", (vectorizer_id,)) + actual = cur.fetchone()[0] + assert actual == 0 + + # make sure bob can modify the source table and the trigger works + with psycopg.connect(db_url("bob"), autocommit=False) as con2: + with con2.cursor() as cur2: + # insert a row into the source + cur2.execute(""" + insert into website.blog(title, published, body) + values + ('how to make ramen', '2021-01-06'::timestamptz, 'boil water. cook ramen in the water') + """) + # make sure adelaide can modify the source table and the trigger works + with psycopg.connect(db_url("adelaide"), autocommit=False) as con2: + with con2.cursor() as cur2: + # update a row into the source + cur2.execute(""" + update website.blog set published = now() + where title = 'how to cook a hot dog' + """) + + # check that the queue has 2 rows + cur.execute( + "select pending_items from ai.vectorizer_status where id = %s", + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual == 2 + + # run the underlying function explicitly + # language=PostgreSQL + cur.execute( + "call ai._vectorizer_job(null, jsonb_build_object('vectorizer_id', %s))", + (vectorizer_id,), + ) + + # check that the queue has 0 rows + cur.execute("select ai.vectorizer_queue_pending(%s)", (vectorizer_id,)) + actual = cur.fetchone()[0] + assert actual == 0 + + # update a row into the source + cur.execute(""" + update website.blog set published = now() + where title = 'how to make ramen' + """) + + # check that the queue has 1 rows + cur.execute("select ai.vectorizer_queue_pending(%s)", (vectorizer_id,)) + actual = cur.fetchone()[0] + assert actual == 1 + + # check that using the GUCs work + cur.execute( + "select set_config('ai.external_functions_executor_url', 'http://localhost:8000', false)" + ) + cur.execute( + "select set_config('ai.external_functions_executor_events_path', '/api/v1/events', false)" + ) + + # ping the external job explicitly + # language=PostgreSQL + cur.execute("select ai.execute_vectorizer(%s)", (vectorizer_id,)) + + # check that the queue has 0 rows + cur.execute("select ai.vectorizer_queue_pending(%s)", (vectorizer_id,)) + actual = cur.fetchone()[0] + assert actual == 0 + + # insert 2 rows into the source + cur.execute(""" + insert into website.blog(title, published, body) + values + ('how to grill a steak', '2020-01-06'::timestamptz, 'put it on a hot grill') + , ('how to make pizza', '2019-01-06'::timestamptz, 'pick up the phone and order delivery') + """) + + # lock 1 row in the queue and check the queue depth + with psycopg.connect(db_url("test"), autocommit=False) as con2: + with con2.cursor() as cur2: + cur2.execute("begin transaction") + # lock 1 row from the queue + cur2.execute( + f"select * from {vec.queue_schema}.{vec.queue_table} where title = 'how to grill a steak' for update" + ) + cur2.fetchone() + # check that vectorizer queue depth still gets the correct count + cur.execute( + "select ai.vectorizer_queue_pending(%s)", (vectorizer_id,) + ) + actual = cur.fetchone()[0] + assert actual == 2 + con2.rollback() + + # disable the schedule + cur.execute("select ai.disable_vectorizer_schedule(%s)", (vectorizer_id,)) + + # check that the timescaledb job is disabled + cur.execute( + """ + select scheduled + from timescaledb_information.jobs j + where j.job_id = %s + """, + (vec.config["scheduling"]["job_id"],), + ) + actual = cur.fetchone()[0] + assert actual is False + + # enable the schedule + cur.execute("select ai.enable_vectorizer_schedule(%s)", (vectorizer_id,)) + + # check that the timescaledb job is enabled + cur.execute( + """ + select scheduled + from timescaledb_information.jobs j + where j.job_id = %s + """, + (vec.config["scheduling"]["job_id"],), + ) + actual = cur.fetchone()[0] + assert actual is True + + # does the source table look right? + actual = psql_cmd(r"\d+ website.blog") + assert actual == SOURCE_TABLE + + # does the source trigger function look right? + actual = psql_cmd(r"\df+ ai._vectorizer_src_trg_1()") + assert actual == SOURCE_TRIGGER_FUNC + + # does the target table look right? + actual = psql_cmd(r"\d+ website.blog_embedding_store") + assert actual == TARGET_TABLE + + # does the queue table look right? + actual = psql_cmd(r"\d+ ai._vectorizer_q_1") + assert actual == QUEUE_TABLE + + # does the view look right? + actual = psql_cmd(r"\d+ website.blog_embedding") + assert actual == VIEW + + +def test_drop_vectorizer(): + with psycopg.connect( + db_url("test"), autocommit=True, row_factory=namedtuple_row + ) as con: + with con.cursor() as cur: + cur.execute("create extension if not exists ai cascade") + cur.execute("create extension if not exists timescaledb") + cur.execute("drop schema if exists wiki cascade") + cur.execute("create schema wiki") + cur.execute("drop table if exists wiki.post") + cur.execute(""" + create table wiki.post + ( id serial not null primary key + , title text not null + , published timestamptz + , category text + , tags text[] + , content text not null + ) + """) + cur.execute(""" + insert into wiki.post(title, published, category, tags, content) + values + ( 'how to cook a hot dog' + , '2024-01-06'::timestamptz + , 'recipies' + , array['grill', 'fast'] + , 'put it on a hot grill' + ) + """) + + # create a vectorizer for the blog table + # language=PostgreSQL + cur.execute(""" + select ai.create_vectorizer + ( 'wiki.post'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 768) + , chunking=>ai.chunking_character_text_splitter('content', 128, 10) + , scheduling=>ai.scheduling_timescaledb() + , grant_to=>null + ); + """) + vectorizer_id = cur.fetchone()[0] + + cur.execute("select * from ai.vectorizer where id = %s", (vectorizer_id,)) + vectorizer = cur.fetchone() + + # does the target table exist? (it should) + cur.execute( + f"select to_regclass('{vectorizer.target_schema}.{vectorizer.target_table}') is not null" + ) + actual = cur.fetchone()[0] + assert actual is True + + # does the queue table exist? (it should) + cur.execute( + f"select to_regclass('{vectorizer.queue_schema}.{vectorizer.queue_table}') is not null" + ) + actual = cur.fetchone()[0] + assert actual is True + + # does the view exist? (it should) + cur.execute( + f"select to_regclass('{vectorizer.view_schema}.{vectorizer.view_name}') is not null" + ) + actual = cur.fetchone()[0] + assert actual is True + + # do the trigger and backing function exist? (it should) + cur.execute(f""" + select g.tgfoid + from pg_trigger g + where g.tgname = '{vectorizer.trigger_name}' + and g.tgrelid = '{vectorizer.source_schema}.{vectorizer.source_table}'::regclass::oid + ; + """) + assert cur.rownumber is not None + pg_proc_oid = cur.fetchone()[0] + + # drop the vectorizer + cur.execute("select ai.drop_vectorizer(%s)", (vectorizer_id,)) + + # does the target table exist? (it SHOULD) + cur.execute( + f"select to_regclass('{vectorizer.target_schema}.{vectorizer.target_table}') is not null" + ) + actual = cur.fetchone()[0] + assert actual is True + + # does the queue table exist? (it should not) + cur.execute( + f"select to_regclass('{vectorizer.queue_schema}.{vectorizer.queue_table}') is not null" + ) + actual = cur.fetchone()[0] + assert actual is False + + # does the view exist? (it SHOULD) + cur.execute( + f"select to_regclass('{vectorizer.view_schema}.{vectorizer.view_name}') is not null" + ) + actual = cur.fetchone()[0] + assert actual is True + + # does the trigger exist? (it should not) + cur.execute(f""" + select count(*) + from pg_trigger g + where g.tgname = '{vectorizer.trigger_name}' + and g.tgrelid = '{vectorizer.source_schema}.{vectorizer.source_table}'::regclass::oid + ; + """) + actual = cur.fetchone()[0] + assert actual == 0 + + # does the func that backed the trigger exist? (it should not) + cur.execute( + """ + select count(*) + from pg_proc + where oid = %s + """, + (pg_proc_oid,), + ) + actual = cur.fetchone()[0] + assert actual == 0 + + # does the timescaledb job exist? (it should not) + cur.execute( + """ + select count(*) + from timescaledb_information.jobs + where job_id = %s + """, + (vectorizer.config["scheduling"]["job_id"],), + ) + actual = cur.fetchone()[0] + assert actual == 0 + + +def index_creation_tester(cur: psycopg.Cursor, vectorizer_id: int) -> None: + cur.execute("select * from ai.vectorizer where id = %s", (vectorizer_id,)) + vectorizer = cur.fetchone() + + # make sure the index does NOT exist + cur.execute( + """ + select ai._vectorizer_vector_index_exists(v.target_schema, v.target_table, v.config->'indexing') + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual is False + + # run the job + cur.execute( + "call ai._vectorizer_job(null, jsonb_build_object('vectorizer_id', %s))", + (vectorizer_id,), + ) + + # make sure the index does NOT exist + cur.execute( + """ + select ai._vectorizer_vector_index_exists(v.target_schema, v.target_table, v.config->'indexing') + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual is False + + # insert 5 rows into the target + cur.execute(f""" + insert into {vectorizer.target_schema}.{vectorizer.target_table} + ( embedding_uuid + , id + , chunk_seq + , chunk + , embedding + ) + select + gen_random_uuid() + , x + , 0 + , 'i am a chunk' + , (select array_agg(random()) from generate_series(1, 3))::vector(3) + from generate_series(1,5) x + """) + + # run the job + cur.execute( + "call ai._vectorizer_job(null, jsonb_build_object('vectorizer_id', %s))", + (vectorizer_id,), + ) + + # make sure the index does NOT exist (min_rows = 10) + cur.execute( + """ + select ai._vectorizer_vector_index_exists(v.target_schema, v.target_table, v.config->'indexing') + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual is False + + # insert 5 rows into the target + cur.execute(f""" + insert into {vectorizer.target_schema}.{vectorizer.target_table} + ( embedding_uuid + , id + , chunk_seq + , chunk + , embedding + ) + select + gen_random_uuid() + , x + , 1 + , 'i am a chunk' + , (select array_agg(random()) from generate_series(1, 3))::vector(3) + from generate_series(1,5) x + """) + + # insert some rows into the queue. this should prevent the index from being created + cur.execute( + f"insert into {vectorizer.queue_schema}.{vectorizer.queue_table}(id) select generate_series(1, 5)" + ) + + # should NOT create index + cur.execute( + """ + select ai._vectorizer_should_create_vector_index(v) + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual is False + + # run the job + cur.execute( + "call ai._vectorizer_job(null, jsonb_build_object('vectorizer_id', %s))", + (vectorizer_id,), + ) + + # make sure the index does NOT exist (queue table is NOT empty) + cur.execute( + """ + select ai._vectorizer_vector_index_exists(v.target_schema, v.target_table, v.config->'indexing') + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual is False + + # empty the queue + cur.execute(f"delete from {vectorizer.queue_schema}.{vectorizer.queue_table}") + + # SHOULD create index + cur.execute( + """ + select ai._vectorizer_should_create_vector_index(v) + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual is True + + # run the job + cur.execute( + "call ai._vectorizer_job(null, jsonb_build_object('vectorizer_id', %s))", + (vectorizer_id,), + ) + + # make sure the index ****DOES**** exist (min_rows = 10 and 10 rows exist AND queue table is empty) + cur.execute( + """ + select ai._vectorizer_vector_index_exists(v.target_schema, v.target_table, v.config->'indexing') + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual is True + + +def test_diskann_index(): + # pgvectorscale must be installed by a superuser + with psycopg.connect( + db_url("postgres"), autocommit=True, row_factory=namedtuple_row + ) as con: + with con.cursor() as cur: + cur.execute("create extension if not exists vectorscale cascade") + with psycopg.connect( + db_url("test"), autocommit=True, row_factory=namedtuple_row + ) as con: + with con.cursor() as cur: + cur.execute("create extension if not exists ai cascade") + cur.execute("create extension if not exists timescaledb") + cur.execute("create schema if not exists vec") + cur.execute("drop table if exists vec.note0") + cur.execute(""" + create table vec.note0 + ( id bigint not null primary key generated always as identity + , note text not null + ) + """) + # insert 5 rows into source + cur.execute(""" + insert into vec.note0 (note) + select 'i am a note' + from generate_series(1, 5) + """) + + # create a vectorizer for the table + # language=PostgreSQL + cur.execute(""" + select ai.create_vectorizer + ( 'vec.note0'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=> + ai.scheduling_timescaledb + ( interval '5m' + , initial_start=>'2050-01-06'::timestamptz + , timezone=>'America/Chicago' + ) + , indexing=>ai.indexing_diskann(min_rows=>10) + , grant_to=>null + , enqueue_existing=>false + ); + """) + vectorizer_id = cur.fetchone()[0] + + index_creation_tester(cur, vectorizer_id) + + +def test_hnsw_index(): + with psycopg.connect( + db_url("test"), autocommit=True, row_factory=namedtuple_row + ) as con: + with con.cursor() as cur: + cur.execute("create extension if not exists ai cascade") + cur.execute("create extension if not exists timescaledb") + cur.execute("create schema if not exists vec") + cur.execute("drop table if exists vec.note1") + cur.execute(""" + create table vec.note1 + ( id bigint not null primary key generated always as identity + , note text not null + ) + """) + # insert 5 rows into source + cur.execute(""" + insert into vec.note1 (note) + select 'i am a note' + from generate_series(1, 5) + """) + + # create a vectorizer for the table + # language=PostgreSQL + cur.execute(""" + select ai.create_vectorizer + ( 'vec.note1'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=> + ai.scheduling_timescaledb + ( interval '5m' + , initial_start=>'2050-01-06'::timestamptz + , timezone=>'America/Chicago' + ) + , indexing=>ai.indexing_hnsw(min_rows=>10, m=>20) + , grant_to=>null + , enqueue_existing=>false + ); + """) + vectorizer_id = cur.fetchone()[0] + + index_creation_tester(cur, vectorizer_id) + + +def test_index_create_concurrency(): + # pgvectorscale must be installed by a superuser + with psycopg.connect( + db_url("postgres"), autocommit=True, row_factory=namedtuple_row + ) as con: + with con.cursor() as cur: + cur.execute("create extension if not exists vectorscale cascade") + with psycopg.connect( + db_url("test"), autocommit=True, row_factory=namedtuple_row + ) as con: + with con.cursor() as cur: + cur.execute("create extension if not exists ai cascade") + cur.execute("create extension if not exists timescaledb") + cur.execute("create schema if not exists vec") + cur.execute("drop table if exists vec.note2") + cur.execute(""" + create table vec.note2 + ( id bigint not null primary key generated always as identity + , note text not null + ) + """) + # insert 10 rows into source + cur.execute(""" + insert into vec.note2 (note) + select 'i am a note' + from generate_series(1, 10) + """) + + # create a vectorizer for the table + # language=PostgreSQL + cur.execute(""" + select ai.create_vectorizer + ( 'vec.note2'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=> + ai.scheduling_timescaledb + ( interval '5m' + , initial_start=>'2050-01-06'::timestamptz + , timezone=>'America/Chicago' + ) + , indexing=> + ai.indexing_diskann + ( min_rows=>10 + , num_neighbors=>25 + , search_list_size=>50 + , create_when_queue_empty=>false + ) + , grant_to=>null + , enqueue_existing=>false + ); + """) + vectorizer_id = cur.fetchone()[0] + + cur.execute("select * from ai.vectorizer where id = %s", (vectorizer_id,)) + vectorizer = cur.fetchone() + + # make sure the index does NOT exist (min_rows = 10) + cur.execute( + """ + select ai._vectorizer_vector_index_exists(v.target_schema, v.target_table, v.config->'indexing') + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual is False + + # insert 10 rows into the target + cur.execute(f""" + insert into {vectorizer.target_schema}.{vectorizer.target_table} + ( embedding_uuid + , id + , chunk_seq + , chunk + , embedding + ) + select + gen_random_uuid() + , x + , 0 + , 'i am a chunk' + , (select array_agg(random()) from generate_series(1, 3))::vector(3) + from generate_series(1,10) x + """) + + # explicitly create the index but hold the transaction open and run the job in another transaction + with psycopg.connect(db_url("test"), autocommit=False) as con2: + with con2.cursor() as cur2: + cur2.execute( + """ + select ai._vectorizer_create_vector_index(v.target_schema, v.target_table, v.config->'indexing') + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + # hold the transaction open + # try to explicitly create the index on the other connection + cur.execute( + """ + select ai._vectorizer_create_vector_index(v.target_schema, v.target_table, v.config->'indexing') + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + con2.commit() + + # make sure the index DOES exist (min_rows = 10) + cur.execute( + """ + select ai._vectorizer_vector_index_exists(v.target_schema, v.target_table, v.config->'indexing') + from ai.vectorizer v + where v.id = %s + """, + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual is True + + # make sure there is only ONE index + cur.execute( + """ + select pg_catalog.count(*) filter + ( where pg_catalog.pg_get_indexdef(i.indexrelid) + ilike '%% using diskann %%' + ) + from pg_catalog.pg_class k + inner join pg_catalog.pg_namespace n on (k.relnamespace operator(pg_catalog.=) n.oid) + inner join pg_index i on (k.oid operator(pg_catalog.=) i.indrelid) + inner join pg_catalog.pg_attribute a + on (k.oid operator(pg_catalog.=) a.attrelid + and a.attname operator(pg_catalog.=) 'embedding' + and a.attnum operator(pg_catalog.=) i.indkey[0] + ) + inner join ai.vectorizer v + on (n.nspname operator(pg_catalog.=) v.target_schema + and k.relname operator(pg_catalog.=) v.target_table) + where v.id = %s + """, + (vectorizer_id,), + ) + actual = cur.fetchone()[0] + assert actual == 1 + + +def test_naming_collisions(): + with psycopg.connect( + db_url("test"), autocommit=True, row_factory=namedtuple_row + ) as con: + with con.cursor() as cur: + cur.execute("create extension if not exists ai cascade") + cur.execute("create extension if not exists timescaledb") + cur.execute("create schema if not exists vec") + cur.execute("drop table if exists vec.note4") + cur.execute(""" + create table vec.note4 + ( id bigint not null primary key generated always as identity + , note text not null + ) + """) + + # create a vectorizer for the table + # language=PostgreSQL + cur.execute(""" + select ai.create_vectorizer + ( 'vec.note4'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=>ai.scheduling_none() + , indexing=>ai.indexing_none() + , grant_to=>null + , enqueue_existing=>false + ); + """) + + # try to create another one, fail on target_table name collision + # language=PostgreSQL + with pytest.raises( + psycopg.errors.RaiseException, + match=".*specify an alternate target_table explicitly*", + ): + cur.execute(""" + select ai.create_vectorizer + ( 'vec.note4'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=>ai.scheduling_none() + , indexing=>ai.indexing_none() + , grant_to=>null + , enqueue_existing=>false + ); + """) + + # try to create another one, fail on queue_table name collision + # language=PostgreSQL + with pytest.raises( + psycopg.errors.RaiseException, + match=".*specify an alternate queue_table explicitly*", + ): + cur.execute(""" + select ai.create_vectorizer + ( 'vec.note4'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=>ai.scheduling_none() + , indexing=>ai.indexing_none() + , grant_to=>null + , enqueue_existing=>false + , target_schema=>'vec' + , target_table=>'note4_embedding_store2' + , queue_schema=>'ai' + , queue_table=>'_vectorizer_q_1' + ); + """) + + # try to create another one, fail on view name collision + # language=PostgreSQL + with pytest.raises( + psycopg.errors.RaiseException, + match=".*specify an alternate view_name explicitly*", + ): + cur.execute(""" + select ai.create_vectorizer + ( 'vec.note4'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=>ai.scheduling_none() + , indexing=>ai.indexing_none() + , grant_to=>null + , enqueue_existing=>false + , target_schema=>'vec' + , target_table=>'note4_embedding_store2' + , queue_schema=>'ai' + , queue_table=>'this_is_a_queue_table' + ); + """) + + # try to create another one, this should work + # language=PostgreSQL + cur.execute(""" + select ai.create_vectorizer + ( 'vec.note4'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=>ai.scheduling_none() + , indexing=>ai.indexing_none() + , grant_to=>null + , enqueue_existing=>false + , target_schema=>'vec' + , target_table=>'note4_embedding_store2' + , queue_schema=>'ai' + , queue_table=>'this_is_a_queue_table' + , view_schema=>'vec' + , view_name=>'note4_embedding2' + ); + """) + assert True + + +def test_none_index_scheduling(): + with psycopg.connect( + db_url("test"), autocommit=True, row_factory=namedtuple_row + ) as con: + with con.cursor() as cur: + cur.execute("create extension if not exists ai cascade") + cur.execute("create extension if not exists timescaledb") + cur.execute("create schema if not exists vec") + cur.execute("drop table if exists vec.note3") + cur.execute(""" + create table vec.note3 + ( id bigint not null primary key generated always as identity + , note text not null + ) + """) + + # create a vectorizer for the table. this should fail + # language=PostgreSQL + with pytest.raises( + psycopg.errors.RaiseException, + match=".*automatic indexing is not supported without scheduling", + ): + cur.execute(""" + select ai.create_vectorizer + ( 'vec.note3'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=> ai.scheduling_none() + , indexing=>ai.indexing_hnsw(min_rows=>10, m=>20) + , grant_to=>null + , enqueue_existing=>false + ); + """) + + # create a vectorizer for the table. this should succeed + # language=PostgreSQL + cur.execute(""" + select ai.create_vectorizer + ( 'vec.note3'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=> ai.scheduling_none() + , indexing=>ai.indexing_none() + , grant_to=>null + , enqueue_existing=>false + ); + """) + assert True diff --git a/projects/extension/tests/vectorizer_tool/__init__.py b/projects/extension/tests/vectorizer_tool/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/projects/extension/tests/vectorizer_tool/test_cli.py b/projects/extension/tests/vectorizer_tool/test_cli.py new file mode 100644 index 000000000..52726381d --- /dev/null +++ b/projects/extension/tests/vectorizer_tool/test_cli.py @@ -0,0 +1,173 @@ +import os +import subprocess +from pathlib import Path + +import psycopg +import pytest +from psycopg.rows import namedtuple_row + +# skip tests in this module if disabled +enable_vectorizer_tool_tests = os.getenv("ENABLE_VECTORIZER_TOOL_TESTS") +if not enable_vectorizer_tool_tests or enable_vectorizer_tool_tests == "0": + pytest.skip(allow_module_level=True) + + +def db_url(user: str, dbname: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/{dbname}" + + +def create_database(dbname: str) -> None: + with psycopg.connect( + db_url(user="postgres", dbname="postgres"), autocommit=True + ) as con: + with con.cursor() as cur: + cur.execute(f"drop database if exists {dbname} with (force)") + cur.execute(f"create database {dbname}") + + +def vectorizer_src_dir() -> Path: + p = Path(__file__).parent.parent.parent.parent.joinpath("pgai").resolve() + return p + + +def tiktoken_cache_dir() -> Path: + return vectorizer_src_dir().parent.joinpath("pgai", "tiktoken_cache").resolve() + + +@pytest.fixture(scope="module", autouse=True) +def create_tiktoken_cache_dir_if_missing() -> None: + d = tiktoken_cache_dir() + if not d.is_dir(): + d.mkdir(exist_ok=True, parents=True) + + +def test_bad_db_url(): + _db_url = db_url("postgres", "this_is_not_a_db") + env = os.environ.copy() + env["VECTORIZER_DB_URL"] = _db_url + env["TIKTOKEN_CACHE_DIR"] = str(tiktoken_cache_dir()) + env["OPENAI_API_KEY"] = "this_is_not_a_key" + p = subprocess.run( + "python3 -m pgai", + shell=True, + text=True, + capture_output=True, + env=env, + cwd=vectorizer_src_dir(), + ) + assert p.returncode == 1 + assert 'FATAL: database "this_is_not_a_db" does not exist' in str(p.stderr) + env.pop("VECTORIZER_DB_URL") + p = subprocess.run( + f"python3 -m pgai -d '{_db_url}'", + shell=True, + text=True, + capture_output=True, + env=env, + cwd=vectorizer_src_dir(), + ) + assert p.returncode == 1 + assert 'FATAL: database "this_is_not_a_db" does not exist' in str(p.stderr) + + +def test_pgai_not_installed(): + db = "vcli1" + create_database(db) + _db_url = db_url("postgres", db) + env = os.environ.copy() + env["VECTORIZER_DB_URL"] = _db_url + env["TIKTOKEN_CACHE_DIR"] = str(tiktoken_cache_dir()) + env["OPENAI_API_KEY"] = "this_is_not_a_key" + p = subprocess.run( + "python3 -m pgai", + shell=True, + capture_output=True, + text=True, + env=env, + cwd=vectorizer_src_dir(), + ) + assert p.returncode == 1 + assert "the pgai extension is not installed" in str(p.stdout) + env.pop("VECTORIZER_DB_URL") + p = subprocess.run( + f"python3 -m pgai -d '{_db_url}'", + shell=True, + capture_output=True, + text=True, + env=env, + cwd=vectorizer_src_dir(), + ) + assert p.returncode == 1 + assert "the pgai extension is not installed" in str(p.stdout) + + +def test_vectorizer_cli(): + db = "vcli2" + create_database(db) + _db_url = db_url("postgres", db) + with psycopg.connect(_db_url, autocommit=True, row_factory=namedtuple_row) as con: + with con.cursor() as cur: + cur.execute("create extension if not exists vectorscale cascade") + cur.execute("create extension if not exists ai cascade") + cur.execute("create extension if not exists timescaledb") + cur.execute("drop table if exists note0") + cur.execute(""" + create table note0 + ( id bigint not null primary key generated always as identity + , note text not null + ) + """) + # insert 5 rows into source + cur.execute(""" + insert into note0 (note) + select 'how much wood would a woodchuck chuck if a woodchuck could chuck wood' + from generate_series(1, 5) + """) + # insert 5 rows into source + cur.execute(""" + insert into note0 (note) + select 'if a woodchuck could chuck wood, a woodchuck would chuck as much wood as he could' + from generate_series(1, 5) + """) + # create a vectorizer for the table + cur.execute(""" + select ai.create_vectorizer + ( 'note0'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=> + ai.scheduling_timescaledb + ( interval '5m' + , initial_start=>'2050-01-06'::timestamptz + , timezone=>'America/Chicago' + ) + , indexing=>ai.indexing_diskann(min_rows=>10) + , grant_to=>null + , enqueue_existing=>true + ) + """) + vectorizer_id = cur.fetchone()[0] + cur.execute("select * from ai.vectorizer where id = %s", (vectorizer_id,)) + vectorizer = cur.fetchone() + + env = os.environ.copy() + env["TIKTOKEN_CACHE_DIR"] = str(tiktoken_cache_dir()) + env["VECTORIZER_DB_URL"] = _db_url + subprocess.run( + f"python3 -m pgai -i {vectorizer_id}", + shell=True, + check=True, + capture_output=True, + text=True, + env=env, + cwd=vectorizer_src_dir(), + ) + + with psycopg.connect(_db_url, autocommit=True, row_factory=namedtuple_row) as con: + with con.cursor() as cur: + cur.execute(f""" + select count(*) + from {vectorizer.target_schema}.{vectorizer.target_table} + """) + count = cur.fetchone()[0] + assert count == 10 diff --git a/projects/pgai/.dockerignore b/projects/pgai/.dockerignore new file mode 100644 index 000000000..ca36436cd --- /dev/null +++ b/projects/pgai/.dockerignore @@ -0,0 +1,6 @@ +build +pgai.egg-info +Dockerfile +__pycache__ +pytest.ini +dist diff --git a/projects/pgai/Dockerfile b/projects/pgai/Dockerfile new file mode 100644 index 000000000..a12cbf767 --- /dev/null +++ b/projects/pgai/Dockerfile @@ -0,0 +1,21 @@ +FROM python:3.12-slim + +ENV PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 + +WORKDIR /app + +RUN useradd -ms /bin/bash pgaiuser + +RUN mkdir /app/tiktoken_cache && chown -R pgaiuser:pgaiuser /app/tiktoken_cache + +COPY ./requirements.txt /app/ +RUN pip3 install --no-cache-dir --disable-pip-version-check --compile --root-user-action=ignore -r requirements.txt + +USER pgaiuser + +COPY pyproject.toml /app +COPY pgai /app/pgai + +ENTRYPOINT [ "python", "-m", "pgai" ] +CMD ["-c", "4"] diff --git a/projects/pgai/pgai/__init__.py b/projects/pgai/pgai/__init__.py new file mode 100644 index 000000000..6a9beea82 --- /dev/null +++ b/projects/pgai/pgai/__init__.py @@ -0,0 +1 @@ +__version__ = "0.4.0" diff --git a/projects/pgai/pgai/__main__.py b/projects/pgai/pgai/__main__.py new file mode 100644 index 000000000..b86163982 --- /dev/null +++ b/projects/pgai/pgai/__main__.py @@ -0,0 +1,4 @@ +from .cli import run + +if __name__ == "__main__": + run(auto_envvar_prefix="VECTORIZER") diff --git a/projects/pgai/pgai/cli.py b/projects/pgai/pgai/cli.py new file mode 100644 index 000000000..c7fa7640e --- /dev/null +++ b/projects/pgai/pgai/cli.py @@ -0,0 +1,163 @@ +import asyncio +import logging +import os +import random +import sys +from collections.abc import Sequence +from pathlib import Path + +import click +import psycopg +import structlog +from dotenv import load_dotenv +from psycopg.rows import dict_row, namedtuple_row + +from .__init__ import __version__ +from .vectorizer.secrets import Secrets +from .vectorizer.vectorizer import Vectorizer, Worker + +load_dotenv() + +structlog.configure(wrapper_class=structlog.make_filtering_bound_logger(logging.INFO)) +log = structlog.get_logger() + + +def get_pgai_version(cur: psycopg.Cursor) -> str | None: + cur.execute("select extversion from pg_catalog.pg_extension where extname = 'ai'") + row = cur.fetchone() + return row[0] if row is not None else None + + +def get_vectorizer_ids( + cur: psycopg.Cursor, vectorizer_ids: Sequence[int] | None = None +) -> list[int]: + valid_vectorizer_ids: list[int] = [] + if vectorizer_ids is None or len(vectorizer_ids) == 0: + cur.execute("select id from ai.vectorizer") + else: + cur.execute( + "select id from ai.vectorizer where id = any(%s)", + [ + list(vectorizer_ids), + ], + ) + for row in cur.fetchall(): + valid_vectorizer_ids.append(row[0]) + random.shuffle(valid_vectorizer_ids) + return valid_vectorizer_ids + + +def get_vectorizer(db_url: str, vectorizer_id: int) -> Vectorizer | None: + with ( + psycopg.Connection.connect(db_url) as con, + con.cursor(row_factory=dict_row) as cur, + ): + cur.execute( + "select pg_catalog.to_jsonb(v) as vectorizer from ai.vectorizer v where v.id = %s", # noqa + (vectorizer_id,), + ) + row = cur.fetchone() + if row is None: + log.warning("vectorizer not found", vectorizer_id=vectorizer_id) + return None + vectorizer = row["vectorizer"] + embedding = vectorizer["config"]["embedding"] + api_key_name = embedding["api_key_name"] + api_key = os.getenv(api_key_name, None) + if api_key is None: + log.error( + "API key not found", + api_key_name=api_key_name, + vectorizer_id=vectorizer_id, + ) + return None + secrets = Secrets(OPENAI_API_KEY=api_key) + vectorizer = Vectorizer(**vectorizer) + vectorizer.config.embedding.set_api_key(secrets) + return vectorizer + + +def run_vectorizer(db_url: str, vectorizer: Vectorizer, concurrency: int) -> None: + async def run_workers( + db_url: str, vectorizer: Vectorizer, concurrency: int + ) -> list[int]: + tasks = [ + asyncio.create_task(Worker(db_url, vectorizer).run()) + for _ in range(concurrency) + ] + return await asyncio.gather(*tasks) + + results = asyncio.run(run_workers(db_url, vectorizer, concurrency)) + items = sum(results) + log.info("finished processing vectorizer", items=items, vectorizer_id=vectorizer.id) + + +@click.command() +@click.version_option(version=__version__) +@click.option( + "-d", + "--db-url", + type=click.STRING, + default="postgres://postgres@localhost:5432/postgres", + show_default=True, +) +@click.option( + "--tiktoken-cache-dir", + envvar="TIKTOKEN_CACHE_DIR", + type=click.Path(), + default=lambda: Path.cwd().joinpath("tiktoken_cache"), + show_default=True, +) +@click.option("-i", "--vectorizer-id", "vectorizer_ids", type=click.INT, multiple=True) +@click.option( + "-c", "--concurrency", type=click.IntRange(1), default=1, show_default=True +) +@click.option( + "--log-level", + type=click.Choice( + ["DEBUG", "INFO", "WARN", "ERROR", "FATAL", "CRITICAL"], case_sensitive=False + ), + default="INFO", +) +def run( + db_url: str, + tiktoken_cache_dir: Path, + vectorizer_ids: Sequence[int] | None = None, + concurrency: int = 1, + log_level: str = "INFO", +) -> None: + log_level_: int = logging.getLevelNamesMapping()[log_level.upper()] + structlog.configure(wrapper_class=structlog.make_filtering_bound_logger(log_level_)) + + if not tiktoken_cache_dir: + log.critical("tiktoken_cache_dir not provided") + sys.exit(1) + if isinstance(tiktoken_cache_dir, str): + tiktoken_cache_dir = Path(tiktoken_cache_dir) + if not tiktoken_cache_dir.is_dir(): + log.critical( + "tiktoken_cache_dir is not a directory", + tiktoken_cache_dir=tiktoken_cache_dir, + ) + sys.exit(1) + os.environ["TIKTOKEN_CACHE_DIR"] = str(tiktoken_cache_dir.resolve()) + + with ( + psycopg.Connection.connect(db_url) as con, + con.cursor(row_factory=namedtuple_row) as cur, + ): + pgai_version = get_pgai_version(cur) + if pgai_version is None: + log.critical("the pgai extension is not installed") + sys.exit(1) + vectorizer_ids = get_vectorizer_ids(cur, vectorizer_ids) + if len(vectorizer_ids) == 0: + log.warning("no vectorizers found") + return + + for vectorizer_id in vectorizer_ids: + vectorizer = get_vectorizer(db_url, vectorizer_id) + if vectorizer is None: + continue + log.info("running vectorizer", vectorizer_id=vectorizer_id) + run_vectorizer(db_url, vectorizer, concurrency) diff --git a/projects/pgai/pgai/vectorizer/__init__.py b/projects/pgai/pgai/vectorizer/__init__.py new file mode 100644 index 000000000..7c6b93948 --- /dev/null +++ b/projects/pgai/pgai/vectorizer/__init__.py @@ -0,0 +1,3 @@ +from .vectorizer import Vectorizer, Worker + +__all__ = ["Vectorizer", "Worker"] diff --git a/projects/pgai/pgai/vectorizer/chunking.py b/projects/pgai/pgai/vectorizer/chunking.py new file mode 100644 index 000000000..d13a3b364 --- /dev/null +++ b/projects/pgai/pgai/vectorizer/chunking.py @@ -0,0 +1,60 @@ +from abc import ABC, abstractmethod +from functools import cached_property +from typing import Any, Literal + +from langchain_text_splitters import ( + CharacterTextSplitter, + RecursiveCharacterTextSplitter, +) +from pydantic import BaseModel +from typing_extensions import override + + +class Chunker(ABC): + @abstractmethod + def into_chunks(self, item: dict[str, Any]) -> list[str]: + pass + + +class LangChainCharacterTextSplitter(BaseModel, Chunker): + implementation: Literal["character_text_splitter"] + separator: str + chunk_size: int + chunk_column: str + chunk_overlap: int + is_separator_regex: bool + + @cached_property + def _chunker(self) -> CharacterTextSplitter: + return CharacterTextSplitter( + separator=self.separator, + chunk_size=self.chunk_size, + chunk_overlap=self.chunk_overlap, + is_separator_regex=self.is_separator_regex, + ) + + @override + def into_chunks(self, item: dict[str, Any]) -> list[str]: + return self._chunker.split_text(item[self.chunk_column]) + + +class LangChainRecursiveCharacterTextSplitter(BaseModel, Chunker): + implementation: Literal["recursive_character_text_splitter"] + separators: list[str] + chunk_size: int + chunk_column: str + chunk_overlap: int + is_separator_regex: bool + + @cached_property + def _chunker(self) -> RecursiveCharacterTextSplitter: + return RecursiveCharacterTextSplitter( + separators=self.separators, + chunk_size=self.chunk_size, + chunk_overlap=self.chunk_overlap, + is_separator_regex=self.is_separator_regex, + ) + + @override + def into_chunks(self, item: dict[str, Any]) -> list[str]: + return self._chunker.split_text(item[self.chunk_column]) diff --git a/projects/pgai/pgai/vectorizer/db.py b/projects/pgai/pgai/vectorizer/db.py new file mode 100644 index 000000000..36771a028 --- /dev/null +++ b/projects/pgai/pgai/vectorizer/db.py @@ -0,0 +1,15 @@ +from dataclasses import dataclass + + +@dataclass +class ConnInfo: + host: str + port: int + role: str + password: str + db_name: str + ssl_mode: str = "require" + + @property + def url(self) -> str: + return f"postgres://{self.role}:{self.password}@{self.host}:{self.port}/{self.db_name}?sslmode={self.ssl_mode}" diff --git a/projects/pgai/pgai/vectorizer/embeddings.py b/projects/pgai/pgai/vectorizer/embeddings.py new file mode 100644 index 000000000..6df8c66ca --- /dev/null +++ b/projects/pgai/pgai/vectorizer/embeddings.py @@ -0,0 +1,269 @@ +import math +import re +import time +from abc import ABC, abstractmethod +from collections.abc import Sequence +from functools import cached_property +from typing import Any, Literal, TypeAlias + +import openai +import structlog +import tiktoken +from ddtrace import tracer +from openai import resources +from pydantic import BaseModel +from pydantic.dataclasses import dataclass +from typing_extensions import override + +from .secrets import Secrets + +MAX_RETRIES = 3 + +TOKEN_CONTEXT_LENGTH_ERROR = "chunk exceeds model context length" +OPENAI_MAX_CHUNKS_PER_BATCH = 2048 + +openai_token_length_regex = re.compile( + r"This model's maximum context length is (\d+) tokens" +) + +logger = structlog.get_logger() + + +@dataclass +class ChunkEmbeddingError: + error: str = "" + error_details: str = "" + + +EmbeddingVector: TypeAlias = list[float] + + +class Embedder(ABC): + @abstractmethod + async def embed( + self, documents: list[str] + ) -> Sequence[EmbeddingVector | ChunkEmbeddingError]: + pass + + +class ApiKeyMixin: + api_key_name: str + _api_key_: str | None = None + + @property + def _api_key(self) -> str: + if self._api_key_ is None: + raise ValueError("API key not set") + return self._api_key_ + + def set_api_key(self, secrets: Secrets): + api_key = getattr(secrets, self.api_key_name) + if api_key is None: + raise ValueError(f"missing API key: {self.api_key_name}") + self._api_key_ = api_key + + +class EmbeddingStats: + total_request_time: float + total_chunks: int + wall_time: float + wall_start: float + + def __new__(cls): + if not hasattr(cls, "_instance"): + cls._instance = super().__new__(cls) + + cls._instance.total_request_time = 0.0 + cls._instance.total_chunks = 0 + cls._instance.wall_time = 0 + cls._instance.wall_start = time.perf_counter() + return cls._instance + + def add_request_time(self, duration: float, chunk_count: int): + self.total_request_time += duration + self.total_chunks += chunk_count + + def chunks_per_second(self): + return ( + self.total_chunks / self.total_request_time + if self.total_request_time > 0 + else 0 + ) + + async def print_stats(self): + self.wall_time = time.perf_counter() - self.wall_start + await logger.adebug( + "Embedding stats", + total_request_time=self.total_request_time, + wall_time=self.wall_time, + total_chunks=self.total_chunks, + chunks_per_second=self.chunks_per_second(), + ) + + +class OpenAI(ApiKeyMixin, BaseModel, Embedder): + implementation: Literal["openai"] + model: str + dimensions: int | None = None + user: str | None = None + + @cached_property + def _openai_dimensions(self) -> int | openai.NotGiven: + return self.dimensions if self.dimensions is not None else openai.NOT_GIVEN + + @cached_property + def _openai_user(self) -> str | openai.NotGiven: + return self.user if self.user is not None else openai.NOT_GIVEN + + @cached_property + def _embedder(self) -> resources.AsyncEmbeddings: + return openai.AsyncOpenAI( + api_key=self._api_key, max_retries=MAX_RETRIES + ).embeddings + + @override + async def embed( + self, documents: list[str] + ) -> Sequence[EmbeddingVector | ChunkEmbeddingError]: + encoded_documents = await self._encode(documents) + await logger.adebug(f"Chunks produced: {len(documents)}") + try: + return await self._do_embed(encoded_documents) + except openai.BadRequestError as e: + body = e.body + if not isinstance(body, dict): + raise e + if "message" not in body: + raise e + msg: Any = body["message"] + if not isinstance(msg, str): + raise e + + m = openai_token_length_regex.match(msg) + if not m: + raise e + model_token_length = int(m.group(1)) + return await self._filter_by_length_and_embed( + model_token_length, encoded_documents + ) + + async def _do_embed( + self, encoded_documents: list[list[int]] + ) -> list[EmbeddingVector]: + response: list[list[float]] = [] + num_of_batches = math.ceil(len(encoded_documents) / OPENAI_MAX_CHUNKS_PER_BATCH) + total_duration = 0.0 + embedding_stats = EmbeddingStats() + with tracer.trace("embeddings.do"): + current_span = tracer.current_span() + if current_span: + current_span.set_tag("batches.total", num_of_batches) + for i in range(0, len(encoded_documents), OPENAI_MAX_CHUNKS_PER_BATCH): + batch_num = i // OPENAI_MAX_CHUNKS_PER_BATCH + 1 + batch = encoded_documents[i : i + OPENAI_MAX_CHUNKS_PER_BATCH] + + await logger.adebug(f"Batch {batch_num} of {num_of_batches}") + await logger.adebug(f"Chunks for this batch: {len(batch)}") + await logger.adebug( + f"OpenAI Request {batch_num} of {num_of_batches} initiated" + ) + with tracer.trace("embeddings.do.embedder.create"): + current_span = tracer.current_span() + if current_span: + current_span.set_tag("batch.id", batch_num) + current_span.set_tag("batch.chunks.total", len(batch)) + start_time = time.perf_counter() + response_ = await self._embedder.create( + input=batch, + model=self.model, + dimensions=self._openai_dimensions, + user=self._openai_user, + encoding_format="float", + ) + request_duration = time.perf_counter() - start_time + if current_span: + current_span.set_metric( + "embeddings.embedder.create_request.time.seconds", + request_duration, + ) + + await logger.adebug( + f"OpenAI Request {batch_num} of {num_of_batches} " + f"ended after: {request_duration} seconds. " + f"Tokens usage: {response_.usage}" + ) + total_duration += request_duration + + response += [r.embedding for r in response_.data] + + embedding_stats.add_request_time(total_duration, len(encoded_documents)) + await embedding_stats.print_stats() + current_span = tracer.current_span() + if current_span: + current_span.set_metric( + "embeddings.embedder.all_create_requests.time.seconds", + embedding_stats.total_request_time, + ) + current_span.set_metric( + "embeddings.embedder.all_create_requests.wall_time.seconds", + embedding_stats.wall_time, + ) + current_span.set_metric( + "embeddings.embedder.all_create_requests.chunks.rate", + embedding_stats.chunks_per_second(), + ) + + return response + + async def _filter_by_length_and_embed( + self, model_token_length: int, encoded_documents: list[list[int]] + ) -> Sequence[EmbeddingVector | ChunkEmbeddingError]: + valid_documents: list[list[int]] = [] + invalid_documents_idxs: list[int] = [] + for i, doc in enumerate(encoded_documents): + if len(doc) > model_token_length: + invalid_documents_idxs.append(i) + else: + valid_documents.append(doc) + + assert len(valid_documents) + len(invalid_documents_idxs) == len( + encoded_documents + ) + + response = await self._embedder.create( + input=valid_documents, + model=self.model, + dimensions=self._openai_dimensions, + encoding_format="float", + ) + + embeddings: list[ChunkEmbeddingError | list[float]] = [] + for i in range(len(encoded_documents)): + if i in invalid_documents_idxs: + embedding = ChunkEmbeddingError( + error=TOKEN_CONTEXT_LENGTH_ERROR, + error_details=f"chunk exceeds the {self.model} model context length of {model_token_length} tokens", # noqa + ) + else: + embedding = response.data.pop(0).embedding + embeddings.append(embedding) + + return embeddings + + async def _encode(self, documents: list[str]) -> list[list[int]]: + total_tokens = 0 + encoded_documents: list[list[int]] = [] + for document in documents: + if self.model.endswith("001"): + # See: https://github.com/openai/openai-python/issues/418#issuecomment-1525939500 + # replace newlines, which can negatively affect performance. + document = document.replace("\n", " ") + tokenized = self._encoder.encode_ordinary(document) + total_tokens += len(tokenized) + encoded_documents.append(tokenized) + await logger.adebug(f"Total tokens in batch: {total_tokens}") + return encoded_documents + + @cached_property + def _encoder(self) -> tiktoken.Encoding: + return tiktoken.encoding_for_model(self.model) diff --git a/projects/pgai/pgai/vectorizer/formatting.py b/projects/pgai/pgai/vectorizer/formatting.py new file mode 100644 index 000000000..5050e5cb6 --- /dev/null +++ b/projects/pgai/pgai/vectorizer/formatting.py @@ -0,0 +1,31 @@ +from abc import ABC, abstractmethod +from functools import cached_property +from string import Template +from typing import Any, Literal + +from pydantic import BaseModel + + +class Formatter(ABC): + @abstractmethod + def format(self, chunk: str, item: dict[str, Any]) -> str: + pass + + +class ChunkValue(BaseModel, Formatter): + implementation: Literal["chunk_value"] + + def format(self, chunk: str, item: dict[str, Any]) -> str: # noqa + return chunk + + +class PythonTemplate(BaseModel, Formatter): + implementation: Literal["python_template"] + template: str + + def format(self, chunk: str, item: dict[str, Any]) -> str: + return self._template.substitute(chunk=chunk, **item) + + @cached_property + def _template(self) -> Template: + return Template(self.template) diff --git a/projects/pgai/pgai/vectorizer/lambda_handler.py b/projects/pgai/pgai/vectorizer/lambda_handler.py new file mode 100644 index 000000000..a153cfa6d --- /dev/null +++ b/projects/pgai/pgai/vectorizer/lambda_handler.py @@ -0,0 +1,82 @@ +import asyncio +import logging +import os +from typing import Any + +import structlog +from pydantic import AliasChoices, Field, ValidationError +from pydantic.dataclasses import dataclass + +from . import db +from .processing import ProcessingDefault +from .secrets import Secrets +from .vectorizer import Vectorizer, Worker + +TIKTOKEN_CACHE_DIR = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "tiktoken_cache" +) +structlog.configure(wrapper_class=structlog.make_filtering_bound_logger(logging.INFO)) +logger = structlog.get_logger() + + +@dataclass +class UpdateEmbeddings: + db: db.ConnInfo + secrets: Secrets + + +@dataclass +class Event: + update_embeddings: UpdateEmbeddings + vectorizer: Vectorizer = Field(validation_alias=AliasChoices("payload")) + + +async def run_workers( + concurrency: int, + conn_info: db.ConnInfo, + vectorizer: Vectorizer, +) -> list[int]: + """Runs the embedding tasks and wait for them to finish.""" + # TODO: handle timeout so that lambdas are not killed by AWS + tasks = [ + asyncio.create_task(Worker(conn_info.url, vectorizer).run()) + for _ in range(concurrency) + ] + return await asyncio.gather(*tasks) + + +def set_log_level(cf: ProcessingDefault): + level = logging.getLevelName(cf.log_level) # type: ignore + if cf.log_level != "INFO" and isinstance(level, int): + structlog.configure(wrapper_class=structlog.make_filtering_bound_logger(level)) + + +def lambda_handler(raw_event: dict[str, Any], _: Any) -> dict[str, int]: + """Lambda entry point. Validates the config given via the event, and + starts the embedding tasks. + + Args: + raw_event (dict): maps to the `Event` dataclass. + """ + try: + event = Event(**raw_event) + except ValidationError as e: + raise e + + # The type error we are ignoring is because there's only one type available + # for Config.processing. We keep the check to signal intent, in case we add + # other types in the future. + if isinstance(event.vectorizer.config.processing, ProcessingDefault): # type: ignore + set_log_level(event.vectorizer.config.processing) + + event.vectorizer.config.embedding.set_api_key(event.update_embeddings.secrets) + + os.environ["TIKTOKEN_CACHE_DIR"] = TIKTOKEN_CACHE_DIR + results = asyncio.run( + run_workers( + event.vectorizer.config.processing.concurrency, + event.update_embeddings.db, + event.vectorizer, + ) + ) + return {"statusCode": 200, "processed_tasks": sum(results)} diff --git a/projects/pgai/pgai/vectorizer/processing.py b/projects/pgai/pgai/vectorizer/processing.py new file mode 100644 index 000000000..38fd42478 --- /dev/null +++ b/projects/pgai/pgai/vectorizer/processing.py @@ -0,0 +1,19 @@ +from typing import Annotated, Literal + +from annotated_types import Gt, Le +from pydantic import BaseModel + + +class ProcessingDefault(BaseModel): + implementation: Literal["default"] + batch_size: Annotated[int, Gt(gt=0), Le(le=2048)] = 50 + concurrency: Annotated[int, Gt(gt=0), Le(le=10)] = 1 + log_level: Literal[ + "CRITICAL", + "FATAL", + "ERROR", + "WARN", + "WARNING", + "INFO", + "DEBUG", + ] = "INFO" diff --git a/projects/pgai/pgai/vectorizer/secrets.py b/projects/pgai/pgai/vectorizer/secrets.py new file mode 100644 index 000000000..ee58267ef --- /dev/null +++ b/projects/pgai/pgai/vectorizer/secrets.py @@ -0,0 +1,8 @@ +from pydantic.dataclasses import dataclass + + +@dataclass +class Secrets: + """Secrets to be mapped into the event payload.""" + + OPENAI_API_KEY: str | None = None diff --git a/projects/pgai/pgai/vectorizer/tiktoken_cache/0ea1e91bbb3a60f729a8dc8f777fd2fc07cd8df4 b/projects/pgai/pgai/vectorizer/tiktoken_cache/0ea1e91bbb3a60f729a8dc8f777fd2fc07cd8df4 new file mode 100644 index 000000000..3480e077d --- /dev/null +++ b/projects/pgai/pgai/vectorizer/tiktoken_cache/0ea1e91bbb3a60f729a8dc8f777fd2fc07cd8df4 @@ -0,0 +1,50256 @@ +IQ== 0 +Ig== 1 +Iw== 2 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"\u0120medic": 6924, "hent": 6925, "\u0120Women": 6926, "><": 6927, "\u0120replaced": 6928, "\u0120Prem": 6929, "\u0120Thanks": 6930, "\u0120renew": 6931, "\u0120Ball": 6932, "iform": 6933, "\u0120shots": 6934, "Comm": 6935, "\u0120armed": 6936, "\u0120constant": 6937, "\u0120taste": 6938, "\u0120realized": 6939, "\u0120buff": 6940, "\u0120mo": 6941, "\u0120efficient": 6942, "Most": 6943, "oration": 6944, "ifies": 6945, "\u0120communication": 6946, "\u0120flood": 6947, "\u0120consequences": 6948, "\u0120anyway": 6949, "igg": 6950, "\u0120GM": 6951, "\u0120Thank": 6952, "\u0120iron": 6953, "\u0120evolution": 6954, "\u0120Cop": 6955, "twitter": 6956, "\u012095": 6957, "\u0120relationships": 6958, "adel": 6959, "\u0120Young": 6960, "\u0120proposal": 6961, "ayers": 6962, "uilding": 6963, "\u0120Hot": 6964, "ORE": 6965, "cos": 6966, "\u0120collabor": 6967, "PG": 6968, "axy": 6969, "\u0120knowing": 6970, "\u0120supports": 6971, "owed": 6972, "\u0120controls": 6973, "\u0120merely": 6974, "umer": 6975, "\u0120athlet": 6976, "\u0120fashion": 6977, "path": 6978, "\u0120gift": 6979, "\u0120era": 6980, "AND": 6981, "\u0120kinds": 6982, "\u0120Korean": 6983, "\u0120legit": 6984, "ulous": 6985, "\u0120essentially": 6986, "\u0120therap": 6987, "nic": 6988, "\u0120suffered": 6989, "\u0120hur": 6990, "\u0120promise": 6991, "\u0120excess": 6992, "\u0120overw": 6993, "\u0120prime": 6994, "\u0120Houston": 6995, "erry": 6996, "\u0120Ms": 6997, "RS": 6998, "2012": 6999, "\u0120stores": 7000, "\u0120Olymp": 7001, "\u0120journey": 7002, "Although": 7003, "Sub": 7004, "\u0120Educ": 7005, "\u0120Chapter": 7006, "\u0120requests": 7007, "\u0120consumers": 7008, "\u0120tiny": 7009, "\u0120isol": 7010, "\u0120Fair": 7011, "ba": 7012, "\u0120YOU": 7013, "\u0120crash": 7014, "celer": 7015, "\u0120emotional": 7016, "\u0120goods": 7017, "\u0120elected": 7018, "\u0120moder": 7019, "\u0120Linux": 7020, "\u0120blocks": 7021, "\u0120island": 7022, "\u0120Society": 7023, "\u0120elections": 7024, "\u0120broadcast": 7025, "\u0120cheap": 7026, "\u0120nations": 7027, "\u0120seasons": 7028, "400": 7029, "\u0120waste": 7030, "\u0120Sat": 7031, "\u0120fields": 7032, "employ": 7033, "\u0120profile": 7034, "\u0120authors": 7035, "ALL": 7036, "\u0120Gra": 7037, "west": 7038, "\u0120Ty": 7039, "\u0120deaths": 7040, "\u0120vacc": 7041, "\u0120formed": 7042, "\u0120du": 7043, "\u0120ongoing": 7044, "\u0120Muslims": 7045, "elf": 7046, "igure": 7047, "\u0120assume": 7048, "\u0120Ukraine": 7049, "water": 7050, "\u0120coast": 7051, "\u0120voted": 7052, "gor": 7053, "\u0120AS": 7054, "\u0120Michigan": 7055, "aza": 7056, "\u0120Arm": 7057, "iro": 7058, "\u0120flex": 7059, "asters": 7060, "''": 7061, "\u0120welcome": 7062, "arl": 7063, "\u0120locations": 7064, "igation": 7065, "\u0120Fil": 7066, "\u0120buying": 7067, "\u0120architect": 7068, "\u0120harder": 7069, "\u0120Cub": 7070, "\u0120interface": 7071, "\u0120restaurant": 7072, "\u0120discover": 7073, "\u0120exceed": 7074, "\u0120favour": 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"\u0120Core": 7231, "\u0120Ent": 7232, "inent": 7233, "uce": 7234, "\u0120Blood": 7235, "\u0120Never": 7236, "\u0120emails": 7237, "\u0120highlight": 7238, "\u0120confront": 7239, "atus": 7240, "uted": 7241, "\u0120unus": 7242, "\u0120topic": 7243, "\u0120Adam": 7244, "\u0120ble": 7245, "ati": 7246, "\u0120understood": 7247, "Set": 7248, "struct": 7249, "TP": 7250, "\u0120mob": 7251, "aa": 7252, "\u0120Start": 7253, "pected": 7254, "sell": 7255, "\u0120dedicated": 7256, "\u0120CA": 7257, "uan": 7258, "\u0120songs": 7259, "escription": 7260, "\u0120tech": 7261, "\u0120rape": 7262, "\u0120aside": 7263, "\u0120grant": 7264, "\u012056": 7265, "sub": 7266, "\u0120argue": 7267, "\u0120containing": 7268, "\u0120schedule": 7269, "\u0120liberal": 7270, "\u0120publicly": 7271, "\u0120heavily": 7272, "\u0120Ut": 7273, "iner": 7274, "\u0120Section": 7275, "\u0120Care": 7276, "weet": 7277, "ls": 7278, "Dis": 7279, "\u00e2\u0136\u0122": 7280, "\u0120Follow": 7281, "Back": 7282, "\u0120IT": 7283, 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"\u0120boxes": 10559, "\u0120DR": 10560, "\u0120manifest": 10561, "atre": 10562, "\u0120^": 10563, "\u0120dies": 10564, "leton": 10565, "\u0120missions": 10566, "ethe": 10567, "\u0120resolve": 10568, "\u0120followers": 10569, "\u0120asc": 10570, "\u0120km": 10571, "lord": 10572, "ammed": 10573, "\u0120silent": 10574, "\u0120Associated": 10575, "\u0120timing": 10576, "\u0120prisoners": 10577, "\u0120Kings": 10578, "\u0120Five": 10579, "\u0120tower": 10580, "\u0120approaches": 10581, "\u0120precisely": 10582, "\u0120bureau": 10583, "\u0120Mother": 10584, "\u0120Iss": 10585, "\u0120keyboard": 10586, "itual": 10587, "\u0120funded": 10588, "\u0120staying": 10589, "\u0120psychological": 10590, "\u0120mile": 10591, "\u0120Leon": 10592, "\u0120Barb": 10593, "will": 10594, "\u0120wider": 10595, "\u0120Atlantic": 10596, "\u0120till": 10597, "\u0120Rome": 10598, "rot": 10599, "\u0120accompan": 10600, "\u0120flour": 10601, "aco": 10602, "World": 10603, "\u0120Express": 10604, "\u0120Yu": 10605, "Cor": 10606, "\u0120pleased": 10607, "party": 10608, "\u0120pointing": 10609, "\u0120inflation": 10610, "\u0120roy": 10611, "\u0120),": 10612, "ainer": 10613, "\u0120wedding": 10614, "ormon": 10615, "\u0120requiring": 10616, "\u0120qualified": 10617, "\u0120segment": 10618, "END": 10619, "\u0120sizes": 10620, "eals": 10621, "\u0120corrupt": 10622, "assador": 10623, "\u0120celeb": 10624, "\u0120dreams": 10625, "\u0120Mess": 10626, "\u0120checking": 10627, "\u0120Version": 10628, "\u0120preparing": 10629, "\u0120actively": 10630, "\u0120Diff": 10631, "\u0120lux": 10632, "\u0120Winter": 10633, "acteria": 10634, "\u0120NE": 10635, "\u0120deputy": 10636, "\u0120transgender": 10637, "\u0120summary": 10638, "\u0120inher": 10639, "eries": 10640, "char": 10641, "\u0120Yan": 10642, "\u0120knock": 10643, "\u0120Path": 10644, "\u0120lip": 10645, "roller": 10646, "\u0120impression": 10647, "\u0120celebrate": 10648, "\u0120slide": 10649, "\u0120guests": 10650, "\u0120clip": 10651, "FS": 10652, "\u0120savings": 10653, "\u0120captain": 10654, "\u0120legacy": 10655, "\u0120Denver": 10656, "\u0120wounded": 10657, "taboola": 10658, "ACT": 10659, "\u0120pursue": 10660, "\u0120oxy": 10661, "\u0120q": 10662, "\u0120semi": 10663, "\u0120Need": 10664, "\u0120Affairs": 10665, "\u0120obsc": 10666, "\u0120checked": 10667, "\u0120dual": 10668, "Code": 10669, "\u0120MD": 10670, "lem": 10671, "ulty": 10672, "\u0120\u00c2\u00a9": 10673, "\u0120Elizabeth": 10674, "\u0120centuries": 10675, "arded": 10676, "src": 10677, "\u0120evident": 10678, "ennis": 10679, "atin": 10680, "\u0120unemployment": 10681, "\u0120Mario": 10682, "\u0120intim": 10683, "Christ": 10684, "\u0120biological": 10685, "\u0120soldier": 10686, "\u0120Added": 10687, "\u0120math": 10688, "\u0120Gil": 10689, "\u0120bias": 10690, "\u0120dating": 10691, "\u0120Ocean": 10692, "\u0120mice": 10693, "Mus": 10694, "hire": 10695, "\u0120Tes": 10696, "Server": 10697, "limited": 10698, "Size": 10699, "\u0120meters": 10700, "\u0120rocket": 10701, "essee": 10702, "\u0120certificate": 10703, "\u0120Iranian": 10704, "ASS": 10705, "\u0120grid": 10706, "Dec": 10707, "\u0120rolling": 10708, "commun": 10709, "\u0120Sweden": 10710, "bury": 10711, "\u0120tissue": 10712, "\u0120racism": 10713, "\u0120Local": 10714, "\u0120mystery": 10715, "\u0120examine": 10716, "\u0120stem": 10717, "\u0120sits": 10718, "\u0120hoped": 10719, "oting": 10720, "\u0120dialogue": 10721, "\u0120persu": 10722, "Watch": 10723, "lay": 10724, "MAN": 10725, "\u0120chronic": 10726, "\u0120Portland": 10727, "market": 10728, "\u0120SEC": 10729, "\u0120parallel": 10730, "\u0120scandal": 10731, "\u0120carries": 10732, "\u0120phenomenon": 10733, "human": 10734, "acker": 10735, "\u0120Ox": 10736, "\u0120retirement": 10737, "tainment": 10738, "ovie": 10739, "\u0120Gear": 10740, "\u0120duties": 10741, "\u0120dose": 10742, "\u0120scroll": 10743, "MB": 10744, "inf": 10745, "\u0120sauce": 10746, "\u0120landscape": 10747, "reddit": 10748, "\u0120Championship": 10749, "\u0120Reddit": 10750, "alid": 10751, "\u0120coin": 10752, "\u0120overs": 10753, "\u0120posting": 10754, "about": 10755, "\u0120fel": 10756, "andy": 10757, "\u0120bold": 10758, "\u0120focusing": 10759, "effect": 10760, "GR": 10761, "\u0120deemed": 10762, "\u0120recommendations": 10763, "\u0120stepped": 10764, "\u0120voter": 10765, "\u0120Deep": 10766, "\u0120Instagram": 10767, "\u0120moderate": 10768, "\u0120Maryland": 10769, "\u0120restricted": 10770, "\u0120MB": 10771, "\u0120Chall": 10772, "\u0120tob": 10773, "\u0120cir": 10774, "\u0120Occ": 10775, "\u0120Ever": 10776, "\u0120collaps": 10777, "INFO": 10778, "=-": 10779, "\u0120Pict": 10780, "\u0120Account": 10781, "nc": 10782, "\u0120ought": 10783, "\u0120export": 10784, "\u0120drunk": 10785, "('": 10786, "\u0120wise": 10787, "\u0120Mort": 10788, "necess": 10789, "\u0120ancest": 10790, "\u0120Incre": 10791, "\u0120frequent": 10792, "mir": 10793, "\u0120interpretation": 10794, "\u0120dependent": 10795, "\u0120coins": 10796, "\u0120Bol": 10797, "Video": 10798, "\u0120Justin": 10799, "\u0120fatal": 10800, "\u0120cooking": 10801, "\u0120confusion": 10802, "ipher": 10803, "\u0120custody": 10804, "\u0120Morgan": 10805, "omach": 10806, "\u0120Governor": 10807, "\u0120restaurants": 10808, "eling": 10809, "\u0120acknowledged": 10810, "\u0120ther": 10811, "\u0120genes": 10812, "ching": 10813, "Hey": 10814, "\u0120tactics": 10815, "\u0120Mexican": 10816, "\u0120vend": 10817, "\u0120hes": 10818, "quer": 10819, "\u0120noting": 10820, "\u0120Cameron": 10821, "\u0120targeting": 10822, "rock": 10823, "\u0120credits": 10824, "\u0120emotions": 10825, "\u0120representatives": 10826, "news": 10827, "\u0120legislative": 10828, "\u0120removing": 10829, "\u0120tweeted": 10830, "\u0120Carter": 10831, "\u0120Fixed": 10832, "\u0120forcing": 10833, "\u0120speaker": 10834, "\u0120males": 10835, "\u0120Vietnam": 10836, "lined": 10837, "\u0120concepts": 10838, "\u0120voices": 10839, "oir": 10840, "\u0120Trib": 10841, "Whe": 10842, "\u0120Jerusalem": 10843, "\u0120Sant": 10844, "\u0120cul": 10845, "\u0120lady": 10846, "\u0120Hawai": 10847, "\u0120arts": 10848, "\u0120Inn": 10849, "\u0120Machine": 10850, "\u0120Emperor": 10851, "\u0120slot": 10852, "gly": 10853, "\u0120Process": 10854, "III": 10855, "\u0120athletes": 10856, "\u0120Temple": 10857, "\u0120Represent": 10858, "\u0120presc": 10859, "\u0120tons": 10860, "\u0120golden": 10861, "\u0120punch": 10862, "\u0120GR": 10863, "iverpool": 10864, "\u0120enact": 10865, "\u0120lobby": 10866, "\u0120mos": 10867, "\u0120picking": 10868, "\u0120lifetime": 10869, "\u0120cognitive": 10870, "Each": 10871, "zo": 10872, "\u0120dub": 10873, "\u0120consists": 10874, "oln": 10875, "\u0120festival": 10876, "amous": 10877, "\u0120intellig": 10878, "words": 10879, "\u0120Smart": 10880, "\u0120dele": 10881, "\u0120lapt": 10882, "\u0120magical": 10883, "\u0120Sin": 10884, "bus": 10885, "urities": 10886, "ighth": 10887, "\u0120Ruby": 10888, "\u0120Sure": 10889, "olving": 10890, "\u0120jun": 10891, "OST": 10892, "\u0120imposed": 10893, "\u0120astron": 10894, "\u0120correl": 10895, "\u0120NS": 10896, "\u0120Kit": 10897, "\u0120Future": 10898, "burn": 10899, "\u0120immune": 10900, "ocus": 10901, "\u0120courses": 10902, "\u0120String": 10903, "\u0120lean": 10904, "\u0120ghost": 10905, "\u0120outcomes": 10906, "\u0120expense": 10907, "\u0120everyday": 10908, "\u0120acceptable": 10909, "Ah": 10910, "\u0120equipped": 10911, "\u0120orange": 10912, "FR": 10913, "\u0120Dutch": 10914, "Though": 10915, "\u0120Rank": 10916, "QU": 10917, "\u0120Roberts": 10918, "what": 10919, "rend": 10920, "\u0120disappear": 10921, "\u0120spawn": 10922, "\u0120Lam": 10923, "ois": 10924, "\u0120deserve": 10925, "\u0120minimal": 10926, "\u0120nervous": 10927, "\u0120Would": 10928, "\u0120rook": 10929, "\u0120Vancouver": 10930, "\u0120resign": 10931, "shire": 10932, "\u0120Works": 10933, "\u0120Build": 10934, "\u0120affordable": 10935, "\u0120Gary": 10936, "\u0120Arena": 10937, "\u0120hanging": 10938, "\u0120implications": 10939, "\u0120Song": 10940, "\u0120maintaining": 10941, "\u0120guards": 10942, "CON": 10943, "\u0120derived": 10944, "\u0120executed": 10945, "\u0120theories": 10946, "\u0120quoted": 10947, "\u0120Andre": 10948, "oga": 10949, "seless": 10950, "info": 10951, "\u0120Belg": 10952, "\u0120tears": 10953, "\u0120Surv": 10954, "\u0120birthday": 10955, "igious": 10956, "immer": 10957, "\u0120spectrum": 10958, "\u0120architecture": 10959, "\u0120recruit": 10960, "arma": 10961, "Table": 10962, "\u0120monsters": 10963, "\u0120Gov": 10964, "\u0120destination": 10965, "\u0120attractive": 10966, "\u0120foss": 10967, "\u0120Moreover": 10968, "\u0120presents": 10969, "THE": 10970, "\u0120reply": 10971, "pton": 10972, "\u0120cum": 10973, "\u0120delight": 10974, "\u0120affects": 10975, "\u0120donations": 10976, "\u0120Toy": 10977, "\u0120Him": 10978, "MENT": 10979, "\u0120overcome": 10980, "itched": 10981, "\u0120Fantasy": 10982, "\u0120Hat": 10983, "\u0120Beast": 10984, "bott": 10985, "\u0120investigations": 10986, "Run": 10987, "\u0120hunting": 10988, "di": 10989, "fund": 10990, "\u0120sessions": 10991, "estyle": 10992, "\u0120portray": 10993, "oids": 10994, "Yeah": 10995, "\u0120communicate": 10996, "\u0120comedy": 10997, "\u0120Yang": 10998, "\u0120belt": 10999, "\u0120Marine": 11000, "\u0120predicted": 11001, "Play": 11002, "\u0120importantly": 11003, "\u0120remarkable": 11004, "\u0120eliminate": 11005, "David": 11006, "\u0120bind": 11007, "VID": 11008, "\u0120advocates": 11009, "\u0120Gaza": 11010, "imp": 11011, "DB": 11012, "\u0120Na": 11013, "\u0120Similar": 11014, "IES": 11015, "\u0120charity": 11016, "vas": 11017, "math": 11018, "\u0120\u00e2\u0138": 11019, "oker": 11020, "ndum": 11021, "\u0120caps": 11022, "\u0120Hal": 11023, "2000": 11024, "ean": 11025, "\u0120fleet": 11026, "\u0120recre": 11027, "Right": 11028, "\u0120sleeping": 11029, "ijing": 11030, "kind": 11031, "\u0120designated": 11032, "\u00c3\u00a4": 11033, "\u0120animation": 11034, "kee": 11035, "\u0120Introdu": 11036, "\u0120/>": 11037, "\u0120delayed": 11038, "\u0120tremend": 11039, "\u0120curious": 11040, "Use": 11041, "\u0120lect": 11042, "dam": 11043, "\u0120innovation": 11044, "\u0120Points": 11045, "\u0120loading": 11046, "\u0120dispute": 11047, "ctic": 11048, "irds": 11049, "\u0120BY": 11050, "\u0120nurs": 11051, "\u0120Value": 11052, "IONS": 11053, "\u0120Hum": 11054, "\u0120template": 11055, "mers": 11056, "\u0120appearances": 11057, "\u0120Entertainment": 11058, "\u0120translation": 11059, "\u0120sake": 11060, "\u0120beneath": 11061, "\u0120inhib": 11062, "\u0120euro": 11063, "abetes": 11064, "\u0120studying": 11065, "\u0120Mas": 11066, "\u0120perceived": 11067, "\u0120examined": 11068, "\u0120eager": 11069, "\u0120coaches": 11070, "\u0120imper": 11071, "chi": 11072, "\u0120produces": 11073, "\").": 11074, "\u0120Everyone": 11075, "\u0120municip": 11076, "\u0120girlfriend": 11077, "\u0120hire": 11078, "\u0120Vice": 11079, "\u0120suitable": 11080, "opy": 11081, "\u0120inequ": 11082, "\u0120Duke": 11083, "fish": 11084, "first": 11085, "\u0120Obs": 11086, "\u0120interior": 11087, "\u0120Bruce": 11088, "\u0120Ry": 11089, "\u0120analys": 11090, "\u0120considerable": 11091, "\u0120forecast": 11092, "\u0120fert": 11093, "orship": 11094, "\u0120Drug": 11095, "\u0120ALL": 11096, ":\"": 11097, "thur": 11098, "\u0120Mail": 11099, "\u0120ballot": 11100, "\u0120instantly": 11101, "\u0120Channel": 11102, "\u0120picks": 11103, "\u01201989": 11104, "\u0120tent": 11105, "oli": 11106, "\u0120civilian": 11107, "bling": 11108, "ello": 11109, "bu": 11110, "\u0120inch": 11111, "\u0120logo": 11112, "\u0120cooperation": 11113, "\u0120walks": 11114, "\u0120investments": 11115, "\u0120imprison": 11116, "\u0120Festival": 11117, "\u0120Ky": 11118, "\u0120legally": 11119, "\u0120gri": 11120, "charg": 11121, "Sl": 11122, "\u0120threatening": 11123, "duction": 11124, "flow": 11125, "\u0120dismissed": 11126, "ibraries": 11127, "cap": 11128, "ele": 11129, "\u0120McG": 11130, "\u0120Harvard": 11131, "\u0120Conservative": 11132, "\u0120CBS": 11133, "png": 11134, "\u0120roots": 11135, "\u0120Having": 11136, "umbled": 11137, "\u0120Fun": 11138, "\\/": 11139, "\u0120Search": 11140, "plex": 11141, "\u0120discussing": 11142, "\u0120continu": 11143, "\u0120Tai": 11144, "\u0120Wik": 11145, "Free": 11146, "fit": 11147, "\u0120refuse": 11148, "\u0120managing": 11149, "\u0120synd": 11150, "ipedia": 11151, "walk": 11152, "\u0120professionals": 11153, "\u0120guidance": 11154, "\u0120universities": 11155, "\u0120assemb": 11156, "untu": 11157, "Finally": 11158, "ASE": 11159, "\u0120Auto": 11160, "\u0120Had": 11161, "\u0120anniversary": 11162, "LD": 11163, "\u0120Dur": 11164, "\u0120Ultimate": 11165, "ihad": 11166, "product": 11167, "\u0120transit": 11168, "\u0120restore": 11169, "\u0120explaining": 11170, "\u0120asset": 11171, "\u0120transferred": 11172, "\u0120burst": 11173, "apolis": 11174, "\u0120Magazine": 11175, "\u0120Cra": 11176, "\u0120BR": 11177, "gged": 11178, "\u0120HE": 11179, "Mich": 11180, "bet": 11181, "\u0120Lady": 11182, "ylum": 11183, "erves": 11184, "\u0120meets": 11185, "white": 11186, "Log": 11187, "\u0120corresponding": 11188, "\u0120insisted": 11189, "GG": 11190, "\u0120surrounded": 11191, "\u0120tens": 11192, "\u0120lane": 11193, "\u0120coinc": 11194, "home": 11195, "\u0120existed": 11196, "ected": 11197, "\u0120Double": 11198, "lamm": 11199, "\u0120skept": 11200, "exp": 11201, "\u0120perception": 11202, "iev": 11203, "\u0120Being": 11204, "oft": 11205, "\u0120adopt": 11206, ".:": 11207, "];": 11208, "Windows": 11209, "\u0120satellite": 11210, "ASH": 11211, "\u0120infant": 11212, "description": 11213, "\u0120Meanwhile": 11214, "cm": 11215, "oca": 11216, "\u0120Treat": 11217, "actor": 11218, "\u0120tobacco": 11219, "\u0120Norm": 11220, "emption": 11221, "\u0120flesh": 11222, "\u0120je": 11223, "oop": 11224, "\u0120Heaven": 11225, "\u0120beating": 11226, "anim": 11227, "\u0120gathering": 11228, "\u0120cultiv": 11229, "GO": 11230, "abe": 11231, "\u0120Jonathan": 11232, "\u0120Safety": 11233, "\u0120badly": 11234, "prot": 11235, "\u0120choosing": 11236, "\u0120contacted": 11237, "\u0120quit": 11238, "\u0120distur": 11239, "\u0120stir": 11240, "\u0120token": 11241, "Det": 11242, "\u0120Pa": 11243, "\u0120functionality": 11244, "003": 11245, "some": 11246, "\u0120limitations": 11247, "\u0120meth": 11248, "build": 11249, "config": 11250, "NT": 11251, "rell": 11252, "blem": 11253, "\u0120Mom": 11254, "\u0120veterans": 11255, "\u0120Hu": 11256, "\u0120trends": 11257, "arer": 11258, "\u0120Given": 11259, "\u0120Caption": 11260, "may": 11261, "AST": 11262, "\u0120wondering": 11263, "\u0120Clark": 11264, "normal": 11265, "\u0120separated": 11266, "\u0120desp": 11267, "stic": 11268, "brew": 11269, "\u0120relating": 11270, "\u0120Nik": 11271, "\u0120Farm": 11272, "\u0120enthusi": 11273, "good": 11274, "deb": 11275, "\u0120activist": 11276, "\u0120mart": 11277, "\u0120explosion": 11278, "\u0120Economic": 11279, "Link": 11280, "\u0120insight": 11281, "\u0120convenient": 11282, "\u0120counterpart": 11283, "support": 11284, "\u0120Virt": 11285, "agen": 11286, "\u0120Tennessee": 11287, "\u0120Simon": 11288, "\u0120Award": 11289, "OCK": 11290, "\u0120Figure": 11291, "\u0120overseas": 11292, "\u0120pride": 11293, "\u0120Cas": 11294, "note": 11295, "mg": 11296, "Current": 11297, "\u0120displays": 11298, "content": 11299, "\u0120traveling": 11300, "\u0120hospitals": 11301, "\u0120Financial": 11302, "\u0120Past": 11303, "\u0120defendant": 11304, "\u0120streaming": 11305, "mble": 11306, "\u0120Berlin": 11307, "uki": 11308, "\u0120distribut": 11309, "\u0120antib": 11310, "\u0120chocolate": 11311, "\u0120Castle": 11312, "\u0120interrupt": 11313, "\u0120Row": 11314, "\u0120conversion": 11315, "\u0120bugs": 11316, "\u0120Rather": 11317, "liest": 11318, "LY": 11319, "\u0120Jean": 11320, "common": 11321, "akh": 11322, "\u0120130": 11323, "otton": 11324, "\u0120Dean": 11325, 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11374, "\u0120conviction": 11375, "\u0120garden": 11376, "public": 11377, "\u0120satisfied": 11378, "fold": 11379, "OK": 11380, "\u0120inhab": 11381, "\u0120Think": 11382, "\u0120programme": 11383, "\u0120stomach": 11384, "\u0120coordin": 11385, "\u0120holy": 11386, "\u0120threshold": 11387, "\u0120rhet": 11388, "\u0120serial": 11389, "\u0120employers": 11390, "\u0120Everything": 11391, "rah": 11392, "\u0120bother": 11393, "\u0120brands": 11394, "Value": 11395, "\u0120Ted": 11396, "\u0120Planet": 11397, "\u0120pink": 11398, "\u0120Furthermore": 11399, "sa": 11400, "PE": 11401, "reck": 11402, "\u0120USD": 11403, "otte": 11404, "\u0120&&": 11405, "\u0120landed": 11406, "gets": 11407, "\u0120producers": 11408, "\u0120healthcare": 11409, "\u0120dominant": 11410, "\u0120destro": 11411, "\u0120amended": 11412, "chron": 11413, "\u0120fits": 11414, "\u0120Syd": 11415, "\u0120Authority": 11416, "ATCH": 11417, "\u0120fights": 11418, "\u0120LLC": 11419, "\u0120---": 11420, "\u0120Corp": 11421, 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"\u0120Crown": 12223, "\u0120Reserve": 12224, "\u0120stopping": 12225, "\u0120excuse": 12226, "second": 12227, "\u0120operated": 12228, "\u0120reaches": 12229, "\u0120Malays": 12230, "\u0120pollution": 12231, "\u0120Brooklyn": 12232, "\u0120delete": 12233, "\u0120hash": 12234, "Block": 12235, "aha": 12236, "\u00e2\u0122\u00b3": 12237, "\u0120shorter": 12238, "piece": 12239, ">>>": 13163, "\u0120Mormon": 13164, "tor": 13165, "\u0120particles": 13166, "\u0120Bart": 13167, "ryption": 13168, "\u0120admin": 13169, "\u0120squee": 13170, "VIDIA": 13171, "\u0120creator": 13172, "iameter": 13173, "icular": 13174, "NBC": 13175, "\u0120grabbed": 13176, "\u0120nodd": 13177, "\u0120rated": 13178, "\u0120rotation": 13179, "\u0120grasp": 13180, "\u0120excessive": 13181, "\u0120EC": 13182, "\u0120Whit": 13183, "\u0120inventory": 13184, "aults": 13185, "\u0120FB": 13186, "\u0120ecosystem": 13187, "\u0120billions": 13188, "\u0120venture": 13189, "named": 13190, "\u0120defender": 13191, "oute": 13192, "Instead": 13193, "irable": 13194, "War": 13195, "\u0120assumption": 13196, "\u0120bite": 13197, "\u0120earthqu": 13198, "tail": 13199, "space": 13200, "\u0120gifts": 13201, "boys": 13202, "\u0120inevitable": 13203, "\u0120structural": 13204, "\u0120beneficial": 13205, "\u0120compelling": 13206, "hole": 13207, "ervation": 13208, "\u0120coat": 13209, "oj": 13210, "incarn": 13211, "\u0120Years": 13212, "\u0120determining": 13213, "\u0120rhetoric": 13214, "\u0120boundaries": 13215, "\u0120whites": 13216, "Ant": 13217, "addy": 13218, ")-": 13219, "raham": 13220, "etermin": 13221, "\u0120harvest": 13222, "\u0120Conc": 13223, "\u0120laptop": 13224, "\u0120Match": 13225, "\u0120enjoying": 13226, "cca": 13227, "ollar": 13228, "\u0120trips": 13229, "\u0120addiction": 13230, "\u0120Sak": 13231, "\u0120powered": 13232, "\u0120cous": 13233, "\u0120Russians": 13234, "iere": 13235, "\u0120retrie": 13236, "quality": 13237, "\u0120differ": 13238, "\u0120kingdom": 13239, "\u0120Laur": 13240, "\u0120Capitol": 13241, "\u0120conclusions": 13242, "\u0120Altern": 13243, "\u0120Nav": 13244, "\u0120transparent": 13245, "BER": 13246, "Group": 13247, "\u0120Complete": 13248, "\u0120infer": 13249, "\u0120intrig": 13250, "\u0120insane": 13251, "RO": 13252, "ophob": 13253, "isen": 13254, "qual": 13255, "Michael": 13256, "\u0120museum": 13257, "\u0120Pope": 13258, "\u0120reset": 13259, "rative": 13260, "five": 13261, "\u0120aggreg": 13262, "ittees": 13263, "ository": 13264, "\u0120carb": 13265, "\u0120Record": 13266, "\u0120decides": 13267, "\u0120Fix": 13268, "\u0120exceptions": 13269, "\u0120Commissioner": 13270, "uns": 13271, "\u0120Environmental": 13272, "\u0120legendary": 13273, "istence": 13274, "\u0120tunnel": 13275, "km": 13276, "\u0120insult": 13277, "\u0120troll": 13278, "\u0120shake": 13279, "\u0120detention": 13280, "ques": 13281, "\u0120Chrome": 13282, "\u0120Files": 13283, "\u0120subt": 13284, "\u0120prospects": 13285, "\u0120prol": 13286, "render": 13287, "proof": 13288, "\u0120performances": 13289, "Str": 13290, "\u0120href": 13291, "ername": 13292, "\u0120achievement": 13293, "\u0120fut": 13294, "Full": 13295, "\u0120Leban": 13296, "google": 13297, "\u00e3\u0125\u012a": 13298, "ampa": 13299, "Maybe": 13300, "\u0120projected": 13301, "\u0120Emb": 13302, "\u0120colleg": 13303, "\u0120awards": 13304, "\u0120\u00e2\u0136": 13305, "Gold": 13306, "\u0120Blake": 13307, "\u0120Raj": 13308, "ifting": 13309, "\u0120pending": 13310, "\u0120instinct": 13311, "\u0120developments": 13312, "Connect": 13313, "\u0120Mand": 13314, "\u0120WITH": 13315, "\u0120Philippines": 13316, "profile": 13317, "\u0120altogether": 13318, "\u0120Bund": 13319, "\u0120TD": 13320, "oooo": 13321, "amped": 13322, "iph": 13323, "\u0120steam": 13324, "\u0120oldest": 13325, "\u0120detection": 13326, "ulpt": 13327, "\u0120\u00e7": 13328, "\u0120Wayne": 13329, "2006": 13330, "fa": 13331, "\u0120circles": 13332, "\u0120Fu": 13333, "\u0120donors": 13334, "appropriate": 13335, "\u0120Dakota": 13336, "jamin": 13337, "\u0120motivated": 13338, "\u0120purchases": 13339, "\u0120Louisiana": 13340, "\u0120Spl": 13341, "\u0120globe": 13342, "\u0120105": 13343, "zip": 13344, "call": 13345, "\u0120departments": 13346, "\u0120sustainable": 13347, "105": 13348, "\u0120OP": 13349, "ifiers": 13350, "\u0120prevented": 13351, "\u0120incomp": 13352, "\u0120Commander": 13353, "\u0120dominated": 13354, "\u0120\u00c2\u00bb": 13355, "\u0120invested": 13356, "\u0120complexity": 13357, "\u0120incl": 13358, "\u0120ensuring": 13359, "\u0120realm": 13360, "ync": 13361, "\u0120Independent": 13362, "rained": 13363, "\u0120Jen": 13364, "\u0120Flight": 13365, "\u0120athe": 13366, "\u0120speculation": 13367, "\u0120TE": 13368, "ocate": 13369, "tic": 13370, "\u0120plaint": 13371, "herry": 13372, "\u0120toy": 13373, "\u0120111": 13374, "\u0120plates": 13375, "status": 13376, "\u0120Isa": 13377, "\u0120devoted": 13378, "Cop": 13379, "\u0120ES": 13380, "255": 13381, "urrency": 13382, "Main": 13383, "\u0120slaves": 13384, "\u0120pepper": 13385, "\u0120quotes": 13386, "\u0120ceiling": 13387, "\u0120Fish": 13388, "\u0120transformation": 13389, "\u0120fraction": 13390, "\u0120advantages": 13391, "\u0120toile": 13392, "\u0120stunning": 13393, "\u0120moist": 13394, "breaking": 13395, "si": 13396, "\u0120Location": 13397, "\u0120Medium": 13398, "\u0120texts": 13399, "\u0120ugly": 13400, "\u0120bio": 13401, ".\u00e2\u0122\u0136": 13402, "\u0120Based": 13403, "\u0120trains": 13404, "\u0120Wing": 13405, "\u0120Ancient": 13406, "\u0120Records": 13407, "\u0120Hope": 13408, "Special": 13409, "adesh": 13410, "obi": 13411, "[/": 13412, "\u0120temporarily": 13413, "Ver": 13414, "hu": 13415, "oser": 13416, "\u0120overnight": 13417, "\u0120mamm": 13418, "\u0120Treasury": 13419, "\u0120Venezuel": 13420, "\u0120Mega": 13421, "\u0120tar": 13422, "\u0120expects": 13423, "black": 13424, "orph": 13425, "\\\\\\\\": 13426, "\u0120acceptance": 13427, "\u0120radar": 13428, "sis": 13429, "\u0120junior": 13430, "\u0120frames": 13431, "\u0120observation": 13432, "acies": 13433, "Power": 13434, "\u0120Advanced": 13435, "Mag": 13436, "ologically": 13437, "\u0120Mechan": 13438, "\u0120sentences": 13439, "\u0120analysts": 13440, "aughters": 13441, "forcement": 13442, "\u0120vague": 13443, "\u0120clause": 13444, "\u0120directors": 13445, "\u0120evaluate": 13446, "\u0120cabinet": 13447, "Matt": 13448, "\u0120Classic": 13449, "Ang": 13450, "\u0120cler": 13451, "\u0120Buck": 13452, "\u0120researcher": 13453, "\u0120160": 13454, "\u0120poorly": 13455, "\u0120experiencing": 13456, "\u0120Ped": 13457, "\u0120Manhattan": 13458, "\u0120freed": 13459, "\u0120themes": 13460, "advant": 13461, "\u0120nin": 13462, "\u0120praise": 13463, "104": 13464, "\u0120Libya": 13465, "best": 13466, "\u0120trusted": 13467, "\u0120cease": 13468, "\u0120dign": 13469, "Direct": 13470, "\u0120bombing": 13471, "\u0120migration": 13472, "\u0120Sciences": 13473, "\u0120municipal": 13474, "\u0120Average": 13475, "\u0120glory": 13476, "\u0120revealing": 13477, "\u0120arena": 13478, "\u0120uncertainty": 13479, "\u0120battlefield": 13480, "iao": 13481, "God": 13482, "\u0120cinem": 13483, "rape": 13484, "elle": 13485, "apons": 13486, "\u0120listing": 13487, "\u0120waited": 13488, "\u0120spotted": 13489, "keley": 13490, "\u0120Audio": 13491, "eor": 13492, "arding": 13493, "idding": 13494, "igma": 13495, "\u0120Neg": 13496, "\u0120lone": 13497, "\u0120----": 13498, "exe": 13499, "deg": 13500, "\u0120transf": 13501, "\u0120wash": 13502, "\u0120slavery": 13503, "\u0120exploring": 13504, "\u0120WW": 13505, "atson": 13506, "\u0120encl": 13507, "lies": 13508, "\u0120Creek": 13509, "\u0120wooden": 13510, "Manager": 13511, "\u0120Brand": 13512, "ummy": 13513, "\u0120Arthur": 13514, "\u0120bureaucr": 13515, "\u0120blend": 13516, "arians": 13517, "Further": 13518, "\u0120supposedly": 13519, "\u0120winds": 13520, "\u01201979": 13521, "\u0120gravity": 13522, "\u0120analyses": 13523, "\u0120Travel": 13524, "\u0120Veter": 13525, "\u0120dumb": 13526, "\u0120alternate": 13527, "gal": 13528, "\u0120consumed": 13529, "\u0120effectiveness": 13530, ".''": 13531, "\u0120paths": 13532, "onda": 13533, "LA": 13534, "\u0120Strong": 13535, "\u0120enables": 13536, "\u0120escaped": 13537, "\u0120\"\"": 13538, "\u0120112": 13539, "\u01201983": 13540, "\u0120smiled": 13541, "\u0120tendency": 13542, "Fire": 13543, "\u0120pars": 13544, "\u0120Roc": 13545, "\u0120lake": 13546, "\u0120fitness": 13547, "\u0120Ath": 13548, "\u0120Horn": 13549, "\u0120hier": 13550, "\u0120impose": 13551, "mother": 13552, "\u0120pension": 13553, "icut": 13554, "borne": 13555, "iciary": 13556, "._": 13557, "\u0120SU": 13558, "\u0120polar": 13559, "isy": 13560, "engu": 13561, "itialized": 13562, "ATA": 13563, "write": 13564, "\u0120exercises": 13565, "\u0120Diamond": 13566, "otypes": 13567, "\u0120harmful": 13568, "onz": 13569, "\u0120printing": 13570, "story": 13571, "\u0120expertise": 13572, "\u0120Ger": 13573, "\u0120tragedy": 13574, "\u0120Fly": 13575, "\u0120divid": 13576, "ampire": 13577, "stock": 13578, "Mem": 13579, "\u0120reign": 13580, "\u0120unve": 13581, "\u0120amend": 13582, "\u0120Prophet": 13583, "\u0120mutual": 13584, "\u0120Fac": 13585, "\u0120replacing": 13586, "Har": 13587, "\u0120Circuit": 13588, "\u0120throat": 13589, "\u0120Shot": 13590, "\u0120batteries": 13591, "\u0120toll": 13592, "\u0120addressing": 13593, "\u0120Medicaid": 13594, "\u0120pupp": 13595, "\u0120Nar": 13596, "olk": 13597, "\u0120equity": 13598, "MR": 13599, "\u0120Hispan": 13600, "\u0120Large": 13601, "mid": 13602, "Dev": 13603, "\u0120exped": 13604, "\u0120demo": 13605, "\u0120Marshall": 13606, "ergus": 13607, "\u0120fiber": 13608, "\u0120divorce": 13609, "\u0120Create": 13610, "\u0120slower": 13611, "\u0120Parker": 13612, "\u0120Student": 13613, "\u0120Training": 13614, "Return": 13615, "\u0120Tru": 13616, "\u0120cub": 13617, "\u0120Reached": 13618, "\u0120panic": 13619, "\u0120quarters": 13620, "\u0120rect": 13621, "\u0120treating": 13622, "\u0120rats": 13623, "\u0120Christianity": 13624, "oler": 13625, "\u0120sacred": 13626, "\u0120declare": 13627, "ulative": 13628, "eting": 13629, "\u0120delivering": 13630, "estone": 13631, "\u0120tel": 13632, "\u0120Larry": 13633, "\u0120meta": 13634, "accept": 13635, "artz": 13636, "\u0120Roger": 13637, "handed": 13638, "\u0120header": 13639, "\u0120trapped": 13640, "\u0120Century": 13641, "\u0120knocked": 13642, "\u0120Oxford": 13643, "\u0120survivors": 13644, "bot": 13645, "\u0120demonstration": 13646, "\u0120dirt": 13647, "\u0120assists": 13648, "OME": 13649, "\u0120Draft": 13650, "ortunate": 13651, "folio": 13652, "pered": 13653, "usters": 13654, "gt": 13655, "\u0120Lock": 13656, "\u0120judicial": 13657, "verted": 13658, "\u0120secured": 13659, "outing": 13660, "\u0120Books": 13661, "\u0120hosting": 13662, "\u0120lifted": 13663, "length": 13664, "\u0120jer": 13665, "\u0120wheels": 13666, "\u0120Range": 13667, "umbnails": 13668, "\u0120diagnosis": 13669, "tech": 13670, "\u0120Stewart": 13671, "\u0120Pract": 13672, "\u0120nationwide": 13673, "\u0120dear": 13674, "\u0120obligations": 13675, "\u0120grows": 13676, "\u0120mandatory": 13677, "\u0120suspicious": 13678, "!'": 13679, "Apr": 13680, "Great": 13681, "\u0120mortgage": 13682, "\u0120prosecutor": 13683, "\u0120editorial": 13684, "\u0120Kr": 13685, "\u0120processed": 13686, "ungle": 13687, "\u0120flexibility": 13688, "Earlier": 13689, "\u0120Cart": 13690, "\u0120Sug": 13691, "\u0120focuses": 13692, "\u0120startup": 13693, "\u0120breach": 13694, "\u0120Tob": 13695, "cycle": 13696, "\u00e3\u0122\u012e": 13697, "rose": 13698, "\u0120bizarre": 13699, "\u00e3\u0122\u012f": 13700, "\u0120vegetables": 13701, "$$": 13702, "\u0120retreat": 13703, "oshi": 13704, "\u0120Shop": 13705, "\u0120Ground": 13706, "\u0120Stop": 13707, "\u0120Hawaii": 13708, "\u0120Ay": 13709, "Perhaps": 13710, "\u0120Beaut": 13711, "uffer": 13712, "enna": 13713, "\u0120productivity": 13714, "Fixed": 13715, "control": 13716, "\u0120absent": 13717, "\u0120Campaign": 13718, "Green": 13719, "\u0120identifying": 13720, "\u0120regret": 13721, "\u0120promoted": 13722, "\u0120Seven": 13723, "\u0120eru": 13724, "neath": 13725, "aughed": 13726, "\u0120Pin": 13727, "\u0120Living": 13728, "Cost": 13729, "omatic": 13730, "mega": 13731, "\u0120Nig": 13732, "ocy": 13733, "\u0120inbox": 13734, "\u0120empire": 13735, "\u0120horizont": 13736, "\u0120branches": 13737, "\u0120metaph": 13738, "Active": 13739, "edi": 13740, "\u0120Film": 13741, "\u0120Something": 13742, "\u0120mods": 13743, "incial": 13744, "\u0120Original": 13745, "Gen": 13746, "\u0120spirits": 13747, "\u0120earning": 13748, "Hist": 13749, "\u0120riders": 13750, "\u0120sacrific": 13751, "MT": 13752, "\u0120VA": 13753, "\u0120Salt": 13754, "\u0120occupation": 13755, "\u0120Mi": 13756, "\u0120disg": 13757, "lict": 13758, "\u0120nit": 13759, "\u0120nodes": 13760, "eem": 13761, "\u0120Pier": 13762, "\u0120hatred": 13763, "psy": 13764, "\u00e3\u0125\u012b": 13765, "\u0120theater": 13766, "\u0120sophisticated": 13767, "\u0120defended": 13768, "\u0120besides": 13769, "\u0120thoroughly": 13770, "\u0120Medicare": 13771, "\u0120blamed": 13772, "arently": 13773, "\u0120crying": 13774, "FOR": 13775, "priv": 13776, "\u0120singing": 13777, "\u0120Il": 13778, "\u0120cute": 13779, "oided": 13780, "olitical": 13781, "\u0120Neuro": 13782, "\u00e5\u00a4": 13783, "\u0120donation": 13784, "\u0120Eagles": 13785, "\u0120Give": 13786, "Tom": 13787, "\u0120substantially": 13788, "\u0120License": 13789, "\u0120Ja": 13790, "\u0120grey": 13791, "\u0120Animal": 13792, "\u0120ER": 13793, "\u0120Und": 13794, "\u0120keen": 13795, "\u0120conclude": 13796, "\u0120Mississippi": 13797, "Engine": 13798, "\u0120Studios": 13799, "Press": 13800, "overs": 13801, "llers": 13802, "\u0120350": 13803, "\u0120Rangers": 13804, "\u0120rou": 13805, "erto": 13806, "Ep": 13807, "issa": 13808, "ivan": 13809, "\u0120seal": 13810, "\u0120Regist": 13811, "display": 13812, "\u0120weaken": 13813, "uum": 13814, "\u0120Commons": 13815, "\u0120Say": 13816, "\u0120cultures": 13817, "\u0120laughed": 13818, "\u0120slip": 13819, "\u0120treatments": 13820, "izable": 13821, "mart": 13822, "\u0120Rice": 13823, "\u0120beast": 13824, "\u0120obesity": 13825, "\u0120Laure": 13826, "iga": 13827, "Which": 13828, "holder": 13829, "\u0120elderly": 13830, "\u0120pays": 13831, "\u0120complained": 13832, "\u0120crop": 13833, "\u0120proc": 13834, "\u0120explosive": 13835, "\u0120Fan": 13836, "\u0120Arsenal": 13837, "Author": 13838, "eful": 13839, "\u0120meals": 13840, "\u0120(-": 13841, "idays": 13842, "\u0120imagination": 13843, "\u0120annually": 13844, "\u0120ms": 13845, "asures": 13846, "Head": 13847, "ikh": 13848, "matic": 13849, "\u0120boyfriend": 13850, "\u0120Computer": 13851, "\u0120bump": 13852, "\u0120surge": 13853, "\u0120Craig": 13854, "\u0120Kirk": 13855, "Del": 13856, "mediate": 13857, "\u0120scenarios": 13858, "\u0120Mut": 13859, "\u0120Stream": 13860, "\u0120competitors": 13861, "\u00d9\u0126": 13862, "\u0120Stanford": 13863, "\u0120Resources": 13864, "azed": 13865, "bage": 13866, "\u0120organis": 13867, "\u0120Release": 13868, "\u0120separately": 13869, "\u0120habits": 13870, "\u0120measurements": 13871, "\u0120Close": 13872, "\u0120accompany": 13873, "\u0120gly": 13874, "\u0120tang": 13875, "\u0120Rou": 13876, "\u0120plugin": 13877, "\u0120convey": 13878, "\u0120Challenge": 13879, "oots": 13880, "jan": 13881, "\u0120curs": 13882, "\u0120Relations": 13883, "keeper": 13884, "\u0120approaching": 13885, "ping": 13886, "Speaking": 13887, "\u0120arrangement": 13888, "\u0120VI": 13889, "arettes": 13890, "\u0120affecting": 13891, "\u0120permits": 13892, "because": 13893, "\u0120useless": 13894, "\u0120Hus": 13895, "!!!!": 13896, "\u0120destroying": 13897, "Unfortunately": 13898, "\u0120fascinating": 13899, "Sem": 13900, "\u0120electoral": 13901, "\u0120transparency": 13902, "\u0120Chaos": 13903, "\u0120volunteer": 13904, "\u0120statistical": 13905, "\u0120activated": 13906, "rox": 13907, "Web": 13908, "HE": 13909, "\u0120Hampshire": 13910, "isive": 13911, "Map": 13912, "\u0120trash": 13913, "\u0120Lawrence": 13914, "stick": 13915, "Cr": 13916, "\u0120rings": 13917, "EXT": 13918, "\u0120operational": 13919, "opes": 13920, "Does": 13921, "\u0120Evans": 13922, "\u0120witnessed": 13923, "Port": 13924, "\u0120launching": 13925, "econom": 13926, "wear": 13927, "\u0120Particip": 13928, "umm": 13929, "cules": 13930, "\u0120RAM": 13931, "\u0120Tun": 13932, "\u0120assured": 13933, "\u0120binary": 13934, "\u0120betray": 13935, "\u0120exploration": 13936, "\u0120Fel": 13937, "\u0120admission": 13938, "itated": 13939, "Sy": 13940, "\u0120avoided": 13941, "\u0120Simulator": 13942, "\u0120celebrated": 13943, "\u0120Electric": 13944, "\u00a5\u0140": 13945, "\u0120cluster": 13946, "itzerland": 13947, "health": 13948, "Line": 13949, "\u0120Nash": 13950, "aton": 13951, "\u0120spare": 13952, "\u0120enterprise": 13953, "\u0120DIS": 13954, "cludes": 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"\u00e2\u012a\u0134": 14095, "\u0120bottles": 14096, "ppy": 14097, "\u0120padd": 14098, "\u00e3\u0124\u00af": 14099, "million": 14100, "\u0120devastating": 14101, "\u0120compiled": 14102, "\u0120medication": 14103, "\u0120twelve": 14104, "\u0120Perry": 14105, "Space": 14106, "imb": 14107, "your": 14108, "\u0120leaked": 14109, "\u0120Tar": 14110, "\u0120unity": 14111, "\u0120infected": 14112, "\u0120traveled": 14113, "IDE": 14114, "\u0120McDonald": 14115, "txt": 14116, "\u0120Princ": 14117, "\u0120interven": 14118, "\u0120Taiwan": 14119, "\u0120Pow": 14120, "\u0120bearing": 14121, "\u0120Thread": 14122, "\u0120zones": 14123, "izards": 14124, "unks": 14125, "Chapter": 14126, "llor": 14127, "\u0120\u00c2\u00b7": 14128, "\u0120wounds": 14129, "\u0120discretion": 14130, "\u0120succeeded": 14131, "iking": 14132, "\u0120iconic": 14133, "Call": 14134, "\u0120screening": 14135, "\u0120Mis": 14136, "icts": 14137, "\u0120ministers": 14138, "\u0120separation": 14139, "Player": 14140, "\u0120bip": 14141, "\u0120beloved": 14142, "\u0120counting": 14143, "\u0120Eye": 14144, "around": 14145, "inging": 14146, "\u0120tablet": 14147, "\u0120offence": 14148, "inance": 14149, "have": 14150, "\u0120Info": 14151, "\u0120Ninja": 14152, "\u0120protective": 14153, "\u0120Cass": 14154, "Mac": 14155, "\u0120Quality": 14156, "North": 14157, "\u0120ic": 14158, "\u0120Cuba": 14159, "\u0120Chronicle": 14160, "\u0120Property": 14161, "\u0120fastest": 14162, "otos": 14163, "\u0120Germ": 14164, "OWN": 14165, "\u0120boom": 14166, "\u0120Stanley": 14167, "erguson": 14168, "\u0120clever": 14169, "\u0120enters": 14170, "mode": 14171, "terior": 14172, "\u0120Sens": 14173, "\u0120linear": 14174, "ARK": 14175, "\u0120comparing": 14176, "\u0120purely": 14177, "\u0120safer": 14178, "\u0120Potter": 14179, "\u0120cups": 14180, "RT": 14181, "\u0120gluc": 14182, "\u0120attributed": 14183, "\u0120dupl": 14184, "\u0120Pap": 14185, "\u0120precious": 14186, "\u0120pa": 14187, "ictionary": 14188, "\u0120Tig": 14189, "\u0120Too": 14190, "olutions": 14191, "stan": 14192, "\u0120robots": 14193, "\u0120lobb": 14194, "\u0120statute": 14195, "\u0120prevention": 14196, "western": 14197, "160": 14198, "\u0120Active": 14199, "\u0120Maria": 14200, "hal": 14201, "None": 14202, "ellar": 14203, "\u0120KB": 14204, "\u0120Partners": 14205, "\u0120Single": 14206, "\u0120Following": 14207, "ango": 14208, "acious": 14209, "\u0120thou": 14210, "\u0120kg": 14211, "\u0120influential": 14212, "\u0120Friends": 14213, "Sur": 14214, "ainted": 14215, "\u0120forums": 14216, "\u0120starter": 14217, "\u0120citizenship": 14218, "\u0120Election": 14219, "onge": 14220, "otation": 14221, "osph": 14222, ";;;;": 14223, "utical": 14224, "pur": 14225, "eren": 14226, "\u0120accusations": 14227, "bitious": 14228, "abbit": 14229, "\u0120Ord": 14230, "Posted": 14231, "irk": 14232, "\u0120sensitivity": 14233, "iche": 14234, "\u0120Amy": 14235, "\u0120Fab": 14236, "\u0120summit": 14237, "\u0120pedest": 14238, "\u0120rubber": 14239, "\u0120agricultural": 14240, "\u0120cancel": 14241, "AE": 14242, "\u0120inaug": 14243, "\u0120contam": 14244, "\u0120firmly": 14245, "iw": 14246, "stage": 14247, "\u0120Kan": 14248, "\u0120tier": 14249, "\u0120invention": 14250, "\u0120translated": 14251, "\u0120Rules": 14252, "Box": 14253, "Twitter": 14254, "IDS": 14255, "\u0120pizza": 14256, "\u0120debug": 14257, "\u0120Drop": 14258, "vs": 14259, "\u0120horses": 14260, "big": 14261, "\u0120boring": 14262, "\u0120hood": 14263, "\u0120McCain": 14264, "atched": 14265, "\u0120Bros": 14266, "\u0120skip": 14267, "\u0120essay": 14268, "stat": 14269, "\u0120Legends": 14270, "\u0120ammunition": 14271, "auc": 14272, "\u0120shooter": 14273, "\u0120unh": 14274, "\u0120supplied": 14275, "\u0120generic": 14276, "\u0120SK": 14277, "iban": 14278, "yrics": 14279, "\u0120255": 14280, "\u0120climbing": 14281, "Former": 14282, "\u0120flip": 14283, "\u0120jumping": 14284, "\u0120frustration": 14285, "\u0120Terry": 14286, "\u0120neighborhoods": 14287, "\u0120median": 14288, "bean": 14289, "\u0120brains": 14290, "Following": 14291, "\u0120shaped": 14292, "\u0120draws": 14293, "\u0120altered": 14294, "Jack": 14295, "\u0120recipes": 14296, "\u0120skilled": 14297, "wealth": 14298, "achi": 14299, "election": 14300, "\u0120behaviors": 14301, "deals": 14302, "\u0120Until": 14303, "Fe": 14304, "\u0120declaration": 14305, "marks": 14306, "\u0120Between": 14307, "celona": 14308, "\u0120reson": 14309, "\u0120bubble": 14310, "Among": 14311, "\u0120imperial": 14312, "GS": 14313, "\u0120feminist": 14314, "2005": 14315, "\u0120Kyle": 14316, "\u0120accounting": 14317, "\u0120Tele": 14318, "\u0120Tyr": 14319, "\u0120connecting": 14320, "\u0120rehab": 14321, "\u0120Pred": 14322, "sim": 14323, "\u0120meantime": 14324, "\u0120physician": 14325, "MW": 14326, "\u0120Campbell": 14327, "\u0120Brandon": 14328, "\u0120contributing": 14329, "\u0120Rule": 14330, "\u0120Weight": 14331, "\u0120Nap": 14332, "\u0120interactive": 14333, "\u0120vag": 14334, "\u0120helmet": 14335, "\u0120Comb": 14336, "four": 14337, "\u0120shipped": 14338, "\u0120completing": 14339, "\u0120PD": 14340, "PDATE": 14341, "\u0120spreading": 14342, "\u0120scary": 14343, "erving": 14344, "\u0120Gas": 14345, "\u0120frank": 14346, "school": 14347, "\u0120romantic": 14348, "\u0120stabil": 14349, "Rob": 14350, "\u0120accurately": 14351, "\u0120acute": 14352, "\u0120Hann": 14353, "\u0120symbols": 14354, "\u0120civilization": 14355, "\u0120AW": 14356, "\u0120lightning": 14357, "\u0120considers": 14358, "\u0120venue": 14359, "\u0120\u00d7": 14360, "\u0120oven": 14361, "\u0120SF": 14362, "his": 14363, "\u0120nu": 14364, "\u0120Learn": 14365, "\u0120peoples": 14366, "\u0120std": 14367, "\u0120slee": 14368, "\u0120slic": 14369, "\u0120Statistics": 14370, "\u0120corners": 14371, "\u0120Baker": 14372, "\u0120:)": 14373, "mentation": 14374, "olver": 14375, "\u0120laughing": 14376, "\u0120Todd": 14377, "onde": 14378, "\u0120Hills": 14379, "\u0120nuts": 14380, "\u0120Woman": 14381, "plane": 14382, "\u0120liver": 14383, "\u0120Inside": 14384, "Sorry": 14385, "\u0120agrees": 14386, "\u0120fundament": 14387, "\u0120Fisher": 14388, "\u0120auction": 14389, "\u0120threads": 14390, "glas": 14391, "\u0120Basic": 14392, "\u0120Nat": 14393, "\u0120lacking": 14394, "\u0120celebration": 14395, "ju": 14396, "\u0120silly": 14397, "Euro": 14398, "\u0120tatt": 14399, "ighty": 14400, "controlled": 14401, "Test": 14402, "\u0120Singh": 14403, "\u0120rage": 14404, "\u0120rhyth": 14405, "offic": 14406, "\u0120Phantom": 14407, "\u0120headlines": 14408, "\u0120responding": 14409, "\u0120Morning": 14410, "\u0120vitamin": 14411, "\u0120boots": 14412, "\u0120Site": 14413, "alin": 14414, "pi": 14415, "\u0120viral": 14416, "\u0120UC": 14417, "DER": 14418, "\u0120Sex": 14419, "\u0120stocks": 14420, "current": 14421, "\u0120churches": 14422, "\u0120Rare": 14423, "\u0120Murphy": 14424, "\u0120denial": 14425, "\u0120Gaming": 14426, "\u0120toug": 14427, "\u0120nick": 14428, "\u0120makers": 14429, "\u0120Ronald": 14430, "\u0120generous": 14431, "\u0120Doc": 14432, "\u0120Morris": 14433, "\u0120transformed": 14434, "\u0120Normal": 14435, "\u0120104": 14436, "\u0120Kickstarter": 14437, "\u0120Upon": 14438, "Online": 14439, "\u0120IRS": 14440, "\u0120wrap": 14441, "\u0120loving": 14442, "\u0120arrives": 14443, "\u0120Due": 14444, "\u0120heter": 14445, "\u0120Made": 14446, "\u0120rental": 14447, "\u0120belongs": 14448, "\u0120attorneys": 14449, "\u0120crops": 14450, "\u0120matched": 14451, "ulum": 14452, "oline": 14453, "109": 14454, "\u0120dispar": 14455, "\u0120buyers": 14456, "\u0120Cambridge": 14457, "\u0120ethics": 14458, "roups": 14459, "\u0120justified": 14460, "\u0120marginal": 14461, "\u0120respected": 14462, "winning": 14463, "\u0120nodded": 14464, "\u0120Serge": 14465, "\u0120Former": 14466, "Craft": 14467, "################": 14468, "\u0120Warner": 14469, "\u0120dash": 14470, "ete": 14471, "\u0120entert": 14472, "\u0120Escape": 14473, "outheast": 14474, "\u0120knees": 14475, "\u0120Bomb": 14476, "\u0120rug": 14477, "Pass": 14478, "\u0120attitudes": 14479, "government": 14480, "\u0120Prior": 14481, "\u0120qualities": 14482, "\u0120notification": 14483, "\u0120Phone": 14484, "lie": 14485, "\u0120anticipated": 14486, "\u0120Combat": 14487, "\u0120Barry": 14488, "\u01201982": 14489, "Users": 14490, "oner": 14491, "\u0120computing": 14492, "\u0120Connecticut": 14493, "\u0120lesser": 14494, "\u0120peers": 14495, "\u0120Cu": 14496, "\u0120technically": 14497, "\u0120submission": 14498, "\u0120Universal": 14499, "\u0120manually": 14500, "ourge": 14501, "\u0120respondents": 14502, "\u0120BTC": 14503, "\u0120Host": 14504, "\u0120fare": 14505, "\u0120Bird": 14506, "\u0120receipt": 14507, "also": 14508, "\u0120jack": 14509, "\u0120agriculture": 14510, "\u0120skull": 14511, "\u0120!=": 14512, "\u0120passive": 14513, "\u0120CI": 14514, "\u0120societies": 14515, "\u0120reminded": 14516, "\u0120interference": 14517, "Buy": 14518, "\u0120\u00e2\u013e": 14519, "gon": 14520, "\u0120scrutiny": 14521, "\u0120Witch": 14522, "\u0120conducting": 14523, "\u0120\u00e3\u0125": 14524, "\u0120exchanges": 14525, "\u0120Mitchell": 14526, "\u0120inhabit": 14527, "\u0120twist": 14528, "BD": 14529, "\u0120wherever": 14530, "groupon": 14531, "\u0120jokes": 14532, "\u0120Benjamin": 14533, "\u0120Random": 14534, "frame": 14535, "\u0120Lions": 14536, "\u0120highlighted": 14537, "\u0120Arkansas": 14538, "Ent": 14539, "\u0120pile": 14540, "\u0120prelim": 14541, "gs": 14542, "minded": 14543, "\u0120felony": 14544, "\u0120GA": 14545, "\u0120Luck": 14546, "\u0120practically": 14547, "\u0120Bos": 14548, "\u0120actress": 14549, "Dam": 14550, "\u0120Bou": 14551, "\u0120visa": 14552, "\u0120embedded": 14553, "\u0120hybrid": 14554, "\u0120earliest": 14555, "\u0120sooner": 14556, "social": 14557, "\u0120HA": 14558, "\u0120steep": 14559, "\u0120disadvant": 14560, "\u0120exploit": 14561, "\u0120Egg": 14562, "\u0120Ultra": 14563, "\u0120necessity": 14564, "Local": 14565, "iege": 14566, "\u0120dated": 14567, "\u0120masses": 14568, "\u0120subscription": 14569, "pless": 14570, "\u0120anonym": 14571, "\u0120presumably": 14572, "Blue": 14573, "Their": 14574, "asketball": 14575, "\u0120Philip": 14576, "\u0120comed": 14577, "loaded": 14578, "rane": 14579, "\u0120reflection": 14580, "China": 14581, "\u0120extends": 14582, "\u0120forming": 14583, "\u0120unders": 14584, "2001": 14585, "\u0120grat": 14586, "\u0120concentrations": 14587, "\u0120insulin": 14588, "\u0120secular": 14589, "\u0120whilst": 14590, "\u0120winners": 14591, "Advertisements": 14592, "\u0120deliberately": 14593, "\u0120Working": 14594, "\u0120sink": 14595, "etics": 14596, "dale": 14597, "\u0120mandate": 14598, "\u0120gram": 14599, "\u0120vacation": 14600, "\u0120warnings": 14601, "ripp": 14602, "\u0120THAT": 14603, "\u0120commentary": 14604, "\u0120intu": 14605, "\u0120aest": 14606, "\u0120reasoning": 14607, "\u0120breakdown": 14608, "\u0120Zombie": 14609, "\u0120-->": 14610, "\u0120Political": 14611, "cott": 14612, "\u0120thrust": 14613, "\u0120technological": 14614, "\u0120deciding": 14615, "\u0120trafficking": 14616, "Long": 14617, "Welcome": 14618, "prising": 14619, "\u0120Communications": 14620, "\u0120endors": 14621, "\u0120swift": 14622, "\u0120metabol": 14623, "coins": 14624, "resa": 14625, "\u0120HTTP": 14626, "\u0120enroll": 14627, "\u0120Happy": 14628, "usr": 14629, "intage": 14630, "\u0120[\"": 14631, "uably": 14632, "\u0120Material": 14633, "\u0120repeal": 14634, "Sept": 14635, "kh": 14636, "\u0120Modi": 14637, "\u0120underneath": 14638, "\u0120IL": 14639, "shore": 14640, "\u0120diagnosed": 14641, "aceutical": 14642, "\u0120shower": 14643, "aux": 14644, "\u0120Switch": 14645, "\u0120Strength": 14646, "\u0120jihad": 14647, "national": 14648, "\u0120trauma": 14649, "ussy": 14650, "oni": 14651, "\u0120consolid": 14652, "\u0120calories": 14653, "\u0120Flynn": 14654, "agged": 14655, "168": 14656, "\u0120Pink": 14657, "\u0120fulfill": 14658, "\u0120chains": 14659, "\u0120notably": 14660, "\u0120AV": 14661, "Life": 14662, "\u0120Chuck": 14663, "mus": 14664, "\u0120Urban": 14665, "\u0120Hend": 14666, "\u0120deposit": 14667, "\u0120Sad": 14668, "\u0120affair": 14669, "ORK": 14670, "ieval": 14671, "\u0120FDA": 14672, "\u0120trop": 14673, "\u0120Overall": 14674, "\u0120virtue": 14675, "\u0120satisfaction": 14676, "aund": 14677, "\u0120lun": 14678, "\u0120Switzerland": 14679, "\u0120Operation": 14680, "process": 14681, "\u0120shook": 14682, "\u0120counties": 14683, "leased": 14684, "\u0120Charlotte": 14685, "112": 14686, "\u0120transcript": 14687, "\u0120redd": 14688, "push": 14689, "\u0120Hey": 14690, "\u0120Analysis": 14691, "[\"": 14692, "\u0120alternatives": 14693, "ardless": 14694, "\u0120eleph": 14695, "\u0120prejud": 14696, "\u0120Leaf": 14697, "Having": 14698, "\u0120Hub": 14699, "\u0120expressions": 14700, "\u0120Volume": 14701, "\u0120shocking": 14702, "\u0120Reds": 14703, "\u0120readily": 14704, "\u0120planets": 14705, "adata": 14706, "\u0120collapsed": 14707, "\u0120Madrid": 14708, "\u0120irrit": 14709, "ipper": 14710, "\u0120Enc": 14711, "\u0120Wire": 14712, "\u0120buzz": 14713, "\u0120GP": 14714, "asha": 14715, "\u0120accidentally": 14716, "uru": 14717, "\u0120frustrated": 14718, "\u0120SA": 14719, "\u0120hungry": 14720, "\u0120Huff": 14721, "\u0120labels": 14722, "anto": 14723, "\u0120EP": 14724, "\u0120barriers": 14725, ")|": 14726, "\u0120Berkeley": 14727, "\u0120Jets": 14728, "\u0120pairs": 14729, "\u0120Lan": 14730, "James": 14731, "\u0120Bear": 14732, "\u0120humor": 14733, "\u0120Liberty": 14734, "\u0120magnitude": 14735, "\u0120aging": 14736, "\u0120Mason": 14737, "\u0120friendship": 14738, "umbling": 14739, "\u0120emerge": 14740, "\u0120newspapers": 14741, "\u0120ambitious": 14742, "\u0120Richards": 14743, "aternal": 14744, "\u01201981": 14745, "\u0120cookies": 14746, "\u0120sculpt": 14747, "\u0120pursuit": 14748, "Location": 14749, "\u0120scripts": 14750, "pc": 14751, "\u0120arrangements": 14752, "\u0120diameter": 14753, "\u0120loses": 14754, "amation": 14755, "\u0120liqu": 14756, "\u0120Jake": 14757, "arette": 14758, "\u0120understands": 14759, "\u0120Zen": 14760, "vm": 14761, "\u0120approve": 14762, "\u0120wip": 14763, "\u0120ultra": 14764, "\u0120intend": 14765, "\u0120DI": 14766, "ascular": 14767, "\u0120stays": 14768, "\u0120Kor": 14769, "\u0120Kl": 14770, "\u0120investing": 14771, "La": 14772, "\u0120believing": 14773, "bad": 14774, "mouth": 14775, "\u0120taxpayer": 14776, "\u00e3\u0125\u0125": 14777, "\u0120Quebec": 14778, "\u0120lap": 14779, "\u0120Swiss": 14780, "drop": 14781, "\u0120drain": 14782, "iri": 14783, "etc": 14784, "ften": 14785, "\u0120Nex": 14786, "\u0120straw": 14787, "\u0120screaming": 14788, "\u0120counted": 14789, "\u0120damaging": 14790, "\u0120ambassador": 14791, "century": 14792, "\u0120prox": 14793, "\u0120arrests": 14794, "uv": 14795, "ilateral": 14796, "\u0120Charg": 14797, "\u0120prescribed": 14798, "\u0120independently": 14799, "\u0120fierce": 14800, "\u0120Baby": 14801, "\u0120brave": 14802, "\u0120suits": 14803, "=>": 14804, "\u0120baseline": 14805, "\u0120Rate": 14806, "\u0120islands": 14807, "\u0120((": 14808, "green": 14809, "ixels": 14810, "\u0120namely": 14811, "\u0120Village": 14812, "than": 14813, "amy": 14814, "Version": 14815, "gmail": 14816, "entials": 14817, "\u0120Sud": 14818, "\u0120Melbourne": 14819, "\u0120arriving": 14820, "\u0120quantum": 14821, "eff": 14822, "ropolitan": 14823, "Tri": 14824, "\u0120funeral": 14825, "\u0120IR": 14826, "\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124": 14827, "\u0120Cob": 14828, "itably": 14829, "\u0120turb": 14830, "\u0120combo": 14831, "Review": 14832, "\u0120deployment": 14833, "uity": 14834, "\u0120Bott": 14835, "\u0120invisible": 14836, "\u0120rendering": 14837, "\u0120unlocked": 14838, "\u0120aqu": 14839, "\u0120Vladimir": 14840, "\u0120pad": 14841, "\u0120Brain": 14842, "\u0120Legacy": 14843, "dragon": 14844, "\u0120Kurdish": 14845, "\u0120sounded": 14846, "\u0120detained": 14847, "\u0120DM": 14848, "gary": 14849, "\u0120daughters": 14850, "\u0120disturbing": 14851, "uka": 14852, "\u0120Parad": 14853, "\u0120tast": 14854, "\u0120unfortunate": 14855, "\u0120ul": 14856, "emin": 14857, "\u0120attendance": 14858, "trl": 14859, "\u0120parks": 14860, "\u0120Memorial": 14861, "\u0120Alice": 14862, "othy": 14863, "guard": 14864, "\u0120Dise": 14865, "\u0120Shan": 14866, "\u0120Forum": 14867, "Rich": 14868, "\u0120shifted": 14869, "uez": 14870, "\u0120lighter": 14871, "\u0120Magn": 14872, "\u0120cod": 14873, "Sch": 14874, "hammad": 14875, "Pub": 14876, "350": 14877, "\u0120Pokemon": 14878, "\u0120prototype": 14879, "\u0120unre": 14880, "Base": 14881, "\u0120Students": 14882, "\u0120Reply": 14883, "\u0120Communist": 14884, "\u0120gau": 14885, "\u0120Tyler": 14886, "IZ": 14887, "\u0120participated": 14888, "\u0120suprem": 14889, "\u0120Details": 14890, "\u0120vessels": 14891, "rod": 14892, "\u0120tribe": 14893, "keep": 14894, "\u0120assumptions": 14895, "\u0120pound": 14896, "\u0120crude": 14897, "\u0120Available": 14898, "\u0120swimming": 14899, "\u0120inclusion": 14900, "\u0120advances": 14901, "culation": 14902, "\u0120conservation": 14903, "\u0120overd": 14904, "\u0120Buffalo": 14905, "Article": 14906, "edge": 14907, "\u0120awa": 14908, "\u0120Madison": 14909, "\u0120sidew": 14910, "\u0120catast": 14911, "\u0120Krist": 14912, "ucle": 14913, "\u0120Highway": 14914, "\u0120Terror": 14915, "\u0120activation": 14916, "\u0120unconscious": 14917, "\u0120Satan": 14918, "\u0120Susan": 14919, "illery": 14920, "\u0120arranged": 14921, "iop": 14922, "\u0120rumors": 14923, "urring": 14924, "think": 14925, "\u0120Keith": 14926, "\u0120Kind": 14927, "\u0120avoiding": 14928, "byn": 14929, "nut": 14930, "\u0120Speaker": 14931, "rus": 14932, "names": 14933, "\u0120guilt": 14934, "\u0120Olympics": 14935, "\u0120sail": 14936, "\u0120Mes": 14937, "levant": 14938, "\u0120Columbus": 14939, "aft": 14940, "City": 14941, "South": 14942, "\u0120Harvey": 14943, "\u0120Pun": 14944, "Several": 14945, "\u0120mentally": 14946, "\u0120impress": 14947, "mount": 14948, "\u0120Ubuntu": 14949, "\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136": 14950, "\u0120Superman": 14951, "\u0120MPs": 14952, "\u0120intentions": 14953, "\u0120Racing": 14954, "\u0120likelihood": 14955, "\u0120240": 14956, "Total": 14957, "\u0120toys": 14958, "\u0120Watson": 14959, "\u0120urge": 14960, "Lear": 14961, "\u0120Paper": 14962, "\u0120occurring": 14963, "\u0120Beng": 14964, "\u0120Cert": 14965, "\u0120stones": 14966, "Tim": 14967, "\u0120Twin": 14968, "zb": 14969, "\u0120Dynam": 14970, "\u0120politician": 14971, "kens": 14972, "\u0120Enterprise": 14973, "UTERS": 14974, "\u0120abol": 14975, "\u0120refresh": 14976, "\u0120arbitrary": 14977, "pection": 14978, "\u0120troubles": 14979, "\u0120});": 14980, "tv": 14981, "\u0120pilots": 14982, "\u0120distribute": 14983, "\u0120audit": 14984, "\u0120pause": 14985, "original": 14986, "\u0120rivals": 14987, "\u00c2\u00a3": 14988, "Fig": 14989, "TL": 14990, "abil": 14991, "rying": 14992, "Lin": 14993, "ioned": 14994, "lon": 14995, "\u0120fancy": 14996, "\u0120crashed": 14997, "\u0120tract": 14998, "\u0120shed": 14999, "\u0120consume": 15000, "Based": 15001, "download": 15002, "init": 15003, "\u0120voltage": 15004, "Introdu": 15005, "\u0120condemned": 15006, "\u0120Finance": 15007, "respect": 15008, "\u0120excluded": 15009, "\u0120establishing": 15010, "heric": 15011, "\u0120heritage": 15012, "\u0120spectacular": 15013, "\u0120unst": 15014, "\u0120Snowden": 15015, "\u0120Lane": 15016, "San": 15017, "\u0120protections": 15018, "struction": 15019, "incinn": 15020, "\u0120macro": 15021, "Custom": 15022, "iosity": 15023, "\u0120esp": 15024, "\u0120functioning": 15025, "\u0120mush": 15026, "\u0120puzzle": 15027, "\u0120ethical": 15028, "Mal": 15029, "\u0120governing": 15030, "\u0120Ferguson": 15031, "\u0120restored": 15032, "\u0120stressed": 15033, "\u0120Counter": 15034, "\u0120Kas": 15035, "clip": 15036, "ANS": 15037, "\u0120seiz": 15038, "UK": 15039, "byss": 15040, "oldown": 15041, "api": 15042, "\u0120permanently": 15043, "ounters": 15044, "West": 15045, "Through": 15046, "Light": 15047, "atoes": 15048, "\u0120neat": 15049, "\u0120cord": 15050, "urer": 15051, "\u0120severely": 15052, "\u0120Aven": 15053, "\u0120interrog": 15054, "\u0120triple": 15055, "Given": 15056, "Number": 15057, "\u0120arise": 15058, "\u0120sher": 15059, "plant": 15060, "\u0120flower": 15061, "\u0120Cou": 15062, "\u0120ate": 15063, "\u0120newer": 15064, "bul": 15065, "\u0120meanwhile": 15066, "\u0120Lair": 15067, "\u0120adjustment": 15068, "\u0120Copyright": 15069, "\u0120divers": 15070, "iological": 15071, "\u0120gamers": 15072, "oat": 15073, "\u0120historically": 15074, "\u0120analog": 15075, "\u0120longtime": 15076, "\u0120prescription": 15077, "\u0120Mist": 15078, "\u0120Hyper": 15079, "\u0120Maine": 15080, "\u0120Deity": 15081, "\u0120multipl": 15082, "\u0120Reincarn": 15083, "\u0120Hyd": 15084, "\u0120Pic": 15085, "Sil": 15086, "rants": 15087, "\u0120Cris": 15088, ".;": 15089, "({": 15090, "ependence": 15091, "\u0120recy": 15092, "ateur": 15093, "\u0120quad": 15094, "\u0120glob": 15095, "\u0120conced": 15096, "team": 15097, "\u0120capitalist": 15098, "\u0120Lot": 15099, "\u0120royal": 15100, "\u0120Cyber": 15101, "\u0120blacks": 15102, "metic": 15103, "riv": 15104, "\u0120Danny": 15105, "\u0120spo": 15106, "\u0120RO": 15107, "\u0120animated": 15108, "rypted": 15109, "\u0120Deputy": 15110, "\u0120rendered": 15111, "FE": 15112, "\u0120streak": 15113, "\u0120clouds": 15114, "\u0120Doug": 15115, "~~~~~~~~": 15116, "\u0120discour": 15117, "\u0120Veh": 15118, "\u0120psychology": 15119, "\u0120Journey": 15120, "\u0120crystal": 15121, "\u0120Frost": 15122, "\u0120suspicion": 15123, "\u0120relate": 15124, "orus": 15125, "\u0120Crypt": 15126, "\u0120NVIDIA": 15127, "comed": 15128, "uting": 15129, "incinnati": 15130, "\u0120vulnerability": 15131, "ostic": 15132, "\u0120isolation": 15133, "\u0120cooling": 15134, "\u0120Coalition": 15135, "\u0120119": 15136, "Four": 15137, "\u0120Deal": 15138, "\u0120\u00e2\u012b": 15139, "semble": 15140, "rament": 15141, "\u0120Barcelona": 15142, "\u0120102": 15143, "\u0120cocaine": 15144, "ocalypse": 15145, "Feb": 15146, "ogenic": 15147, "\u0120mutation": 15148, "\u0120cryptoc": 15149, "\u0120Kel": 15150, "\u0120Git": 15151, "ais": 15152, "\u0120sisters": 15153, "ANK": 15154, "\u0120activate": 15155, "Ter": 15156, "\u0120dread": 15157, "ylon": 15158, "\u0120propri": 15159, "Aust": 15160, "\u0120Default": 15161, "\u0120outdoor": 15162, "\u0120sheer": 15163, "ceive": 15164, "\u0120gently": 15165, "\u00d0\u00be": 15166, "Program": 15167, "\u0120\u00e2\u0128\u0134": 15168, "\u0120vegan": 15169, "\u0120Crus": 15170, "\u0120responsibilities": 15171, "\u0120HR": 15172, "OLD": 15173, "\u0120prevents": 15174, "\u0120stiff": 15175, "\u0120Were": 15176, "\u0120athletic": 15177, "\u0120Score": 15178, "\u0120):": 15179, "\u0120columns": 15180, "\u0120Loc": 15181, "available": 15182, "\u0120Fram": 15183, "\u0120Sessions": 15184, "\u0120companion": 15185, "\u0120packs": 15186, "140": 15187, "\u0120Knights": 15188, "\u0120fart": 15189, "\u0120streams": 15190, "\u0120shore": 15191, "\u0120appeals": 15192, "\u0120Performance": 15193, "haul": 15194, "\u0120Stra": 15195, "\u0120Nag": 15196, "103": 15197, "\u0120Transportation": 15198, "BB": 15199, "Ev": 15200, "zan": 15201, "Public": 15202, "\u0120twin": 15203, "ulsion": 15204, "Mult": 15205, "\u0120electro": 15206, "\u0120statue": 15207, "ationally": 15208, "\u0120Nort": 15209, "\u0120inspection": 15210, "/*": 15211, "igue": 15212, "\u0120compassion": 15213, "\u0120Tales": 15214, "\u0120Stein": 15215, "\u0120Screen": 15216, "\u0120Bug": 15217, "\u0120Lion": 15218, "girl": 15219, "\u0120withdrawal": 15220, "\u0120objectives": 15221, "\u0120bloody": 15222, "\u0120preliminary": 15223, "\u0120jacket": 15224, "\u0120dimensions": 15225, "\u0120Cool": 15226, "\u0120Occup": 15227, "\u0120wreck": 15228, "\u0120doubled": 15229, "anking": 15230, "\u01201975": 15231, "\u0120glasses": 15232, "\u0120Wang": 15233, "prov": 15234, "Path": 15235, "connected": 15236, "\u0120Multi": 15237, "\u0120Norway": 15238, "agonist": 15239, "\u0120feared": 15240, "\u0120touching": 15241, "\u0120arguably": 15242, "\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af": 15243, "\u0120NCAA": 15244, "chem": 15245, "\u0120spat": 15246, "\u0120WWE": 15247, "\u0120Cel": 15248, "igger": 15249, "\u0120attacker": 15250, "\u0120Join": 15251, "object": 15252, "etta": 15253, "\u0120eliminated": 15254, "det": 15255, "\u0120destruct": 15256, "\u0120Lucas": 15257, "ctuary": 15258, "180": 15259, "\u0120Brady": 15260, "\u0120Blues": 15261, "Bay": 15262, "aukee": 15263, "\u0120timeline": 15264, "\u0120delegates": 15265, "written": 15266, "ufficient": 15267, "\u0120shapes": 15268, "Copyright": 15269, "ouble": 15270, "service": 15271, "\u0120pione": 15272, "\u0120colleges": 15273, "\u0120rows": 15274, "\u0120spite": 15275, "\u0120assessed": 15276, "360": 15277, "\u0120lease": 15278, "\u0120confidential": 15279, "cker": 15280, "\u0120Manning": 15281, "\u0120Voice": 15282, "\u0120sealed": 15283, "\u0120calculate": 15284, "NO": 15285, "\u0120Assistant": 15286, "\u0120teenager": 15287, "ulent": 15288, "atherine": 15289, "\u0120mock": 15290, "\u0120diamond": 15291, "\u0120fest": 15292, "\u0120switched": 15293, "\u0120resume": 15294, "\u0120Puerto": 15295, "\u0120lanes": 15296, "iration": 15297, "\u0120Similarly": 15298, "\u0120rod": 15299, "\u0120Sel": 15300, "\u0120Palace": 15301, "\u0120Limited": 15302, "eous": 15303, "\u0120variant": 15304, "\u0120ward": 15305, "\u0120))": 15306, "Show": 15307, "OOK": 15308, "Alex": 15309, "\u0120Nep": 15310, "bris": 15311, "\u0120Wikipedia": 15312, "\u0120exceptional": 15313, "\u0120manages": 15314, "\u0120Draw": 15315, "Again": 15316, "\u0120copper": 15317, "utt": 15318, "\u0120exports": 15319, "\u0120portfolio": 15320, "\u0120elevated": 15321, "Rated": 15322, "\u0120Otherwise": 15323, "\u0120Tact": 15324, "\u0120Shel": 15325, "\u0120TX": 15326, "\"\u00e2\u0122\u0136": 15327, "\u0120resur": 15328, "\u0120Wa": 15329, "venant": 15330, "\u0120monetary": 15331, "people": 15332, "Email": 15333, "\u0120fifty": 15334, "\u0120Sweet": 15335, "\u0120Malaysia": 15336, "\u0120confusing": 15337, "\u0120Rio": 15338, "uda": 15339, "utenant": 15340, "\");": 15341, "\u0120praised": 15342, "\u0120volumes": 15343, "turn": 15344, "\u0120mature": 15345, "\u0120nonprofit": 15346, "\u0120passionate": 15347, "\u0120Private": 15348, "\u0120103": 15349, "\u0120descend": 15350, "\u00e7\u00a5\u0140": 15351, "uffy": 15352, "headed": 15353, "Whether": 15354, "rien": 15355, "zech": 15356, "beit": 15357, "\u0120chrom": 15358, "\u0120McM": 15359, "\u0120dancing": 15360, "\u0120eleg": 15361, "\u0120Noticed": 15362, "115": 15363, "\u0120advocacy": 15364, "ENTS": 15365, "ambling": 15366, "\u0120Minor": 15367, "\u0120Finn": 15368, "\u0120priorities": 15369, "\u0120thereof": 15370, "\u0120Stage": 15371, "\u0120Rogers": 15372, "\u0120substitute": 15373, "\u0120Jar": 15374, "\u0120Jefferson": 15375, "\u0120lightly": 15376, "102": 15377, "\u0120Lisa": 15378, "uits": 15379, "ysical": 15380, "\u0120shifts": 15381, "\u0120drones": 15382, "\u0120workplace": 15383, "\u0120resid": 15384, "ensed": 15385, "ahn": 15386, "\u0120preferences": 15387, "server": 15388, "\u0120debates": 15389, "doc": 15390, "\u0120Gods": 15391, "\u0120helicopter": 15392, "\u0120honour": 15393, "\u0120considerably": 15394, "eded": 15395, "\u0120Female": 15396, "\u0120Anne": 15397, "\u0120reun": 15398, "\u0120Face": 15399, "\u0120Hallow": 15400, "\u0120Budget": 15401, "\u0120condemn": 15402, "\u0120tender": 15403, "Prof": 15404, "ocratic": 15405, "\u0120Turner": 15406, "\u0120Agric": 15407, "\u01201976": 15408, "\u0120apt": 15409, "disc": 15410, "\u0120Fighter": 15411, "\u0120Aur": 15412, "\u0120garbage": 15413, "input": 15414, "\u0120Karl": 15415, "\u0120Oliver": 15416, "\u0120Language": 15417, "kn": 15418, "Non": 15419, "\u0120Clar": 15420, "\u0120traditions": 15421, "\u0120advertisement": 15422, "\u0120Sor": 15423, "\u0120archive": 15424, "\u0120villages": 15425, "750": 15426, "\u0120implementing": 15427, "waukee": 15428, "\u0120dietary": 15429, "\u0120switching": 15430, "Republic": 15431, "\u0120velocity": 15432, "\u0120cit": 15433, "\u0120Awards": 15434, "\u0120financing": 15435, "\u0120lasted": 15436, ")]": 15437, "\u0120reminder": 15438, "Person": 15439, "\u0120precision": 15440, "\u0120designers": 15441, "\u0120Fried": 15442, "\u0120Border": 15443, "\u0120tragic": 15444, "\u0120wield": 15445, "\u0120initiatives": 15446, "\u0120Tank": 15447, "wer": 15448, "\u0120joins": 15449, "Ro": 15450, "inery": 15451, "\u0120arrow": 15452, "\u0120generating": 15453, "founder": 15454, "\u0120searches": 15455, "\u0120randomly": 15456, "Access": 15457, "\u0120batch": 15458, "\u0120posed": 15459, "lat": 15460, "\u0120pursuing": 15461, "asa": 15462, "\u0120testified": 15463, "forming": 15464, "\u0120Shar": 15465, "wiki": 15466, "\u0120Either": 15467, "Sometimes": 15468, "\u0120senators": 15469, "\u0120Johnny": 15470, "\u0120Taliban": 15471, "\u0120GPS": 15472, "\":\"/": 15473, "\u00e3\u0123\u00ae\u00e5": 15474, "\u0120analyzed": 15475, "\u0120Rubio": 15476, "\u0120Movement": 15477, "opard": 15478, "iii": 15479, "Stand": 15480, "fight": 15481, "\u0120ignoring": 15482, "iang": 15483, "\u0120GN": 15484, "soever": 15485, "\u0120STAT": 15486, "\u0120refusing": 15487, "\u0120sweat": 15488, "\u0120bay": 15489, "PORT": 15490, "irmed": 15491, "aky": 15492, "\u0120dispro": 15493, "\u0120labeled": 15494, "\u0120108": 15495, "Hello": 15496, "\u0120pleasant": 15497, "aba": 15498, "\u0120triumph": 15499, "\u0120aboard": 15500, "\u0120incom": 15501, "\u0120Crow": 15502, "lett": 15503, "\u0120folk": 15504, "\u0120chase": 15505, "``": 15506, "\u0120Brus": 15507, "\u0120teens": 15508, "cue": 15509, "\u0120terrain": 15510, "hyd": 15511, "ilight": 15512, "ORY": 15513, "Support": 15514, "ews": 15515, "lli": 15516, "raints": 15517, "\u0120Cand": 15518, "\u0120abused": 15519, "achment": 15520, "larg": 15521, "Bas": 15522, "\u0120Cancer": 15523, "\u01201978": 15524, "\u0120supporter": 15525, "access": 15526, "\u0120Termin": 15527, "\u0120Tampa": 15528, "\u0120ANY": 15529, "\u0120newest": 15530, "\u0120Criminal": 15531, "edu": 15532, "\u01201930": 15533, "\u0120admits": 15534, "\u0120ende": 15535, "\u0120failures": 15536, "urate": 15537, "fulness": 15538, "cycl": 15539, "\u0120Subject": 15540, "\u0120infinite": 15541, "three": 15542, "WA": 15543, "pit": 15544, "\u0120Install": 15545, "Rad": 15546, "iliation": 15547, "GM": 15548, "\u0120continent": 15549, "\u0120accommodate": 15550, "\u0120Clay": 15551, "\u0120pup": 15552, "\u0120Function": 15553, "\u0120hammer": 15554, "\u0120Alberta": 15555, "\u0120revised": 15556, "\u0120minorities": 15557, "\u0120measurement": 15558, "Connell": 15559, "\u0120disable": 15560, "\u0120Mix": 15561, "Incre": 15562, "\u0120fork": 15563, "\u0120Rosen": 15564, "\u0120implies": 15565, "umblr": 15566, "ANG": 15567, "\u0120proteins": 15568, "\u0120aggression": 15569, "\u0120facilitate": 15570, "SN": 15571, "\u0120illegally": 15572, "uer": 15573, "\u0120academ": 15574, "\u0120puzz": 15575, "\u0120Shift": 15576, "pay": 15577, "ollo": 15578, "\u0120audiences": 15579, "Build": 15580, "\u0120noble": 15581, "\u0120syntax": 15582, "\u00e2\u013a\u0127": 15583, "\u0120beam": 15584, "\u0120Bed": 15585, "\u0120Ald": 15586, "\u0120origins": 15587, "video": 15588, "\u01201977": 15589, "\u0120Assault": 15590, "\u0120garage": 15591, "Team": 15592, "\u0120verdict": 15593, "\u0120dwar": 15594, "\u0120Virtual": 15595, "event": 15596, "Keep": 15597, "\u0120sentiment": 15598, "\u0120wildlife": 15599, "shirt": 15600, "\u0120burg": 15601, "\u0120recommendation": 15602, "represent": 15603, "\u0120gallery": 15604, "owners": 15605, "\u0120scholar": 15606, "\u0120convenience": 15607, "\u0120Swift": 15608, "\u0120convinc": 15609, "Cap": 15610, "\u0120warfare": 15611, "\u0120Visual": 15612, "\u0120constitute": 15613, "\u0120abort": 15614, "\u0120Weather": 15615, "\u0120Looking": 15616, "\u0120Hem": 15617, "\u0120martial": 15618, "\u0120incoming": 15619, "etition": 15620, "\u0120tolerance": 15621, "\u0120Created": 15622, "\u0120flows": 15623, "\u0120Elder": 15624, "\u0120souls": 15625, "\u0120foul": 15626, "\u0120Pain": 15627, "\u0120CAN": 15628, "\u0120220": 15629, "bc": 15630, "hend": 15631, "\u0120genius": 15632, "Real": 15633, "\u0120Wr": 15634, "ometer": 15635, "pad": 15636, "\u0120limiting": 15637, "\u0120Si": 15638, "\u0120Lore": 15639, "\u0120Adventures": 15640, "\u0120varied": 15641, "Disc": 15642, "fin": 15643, "\u0120Personal": 15644, "Chris": 15645, "\u0120invented": 15646, "\u0120dive": 15647, "\u0120Rise": 15648, "\u0120oz": 15649, "\u0120Comics": 15650, "\u0120expose": 15651, "\u0120Reb": 15652, "letters": 15653, "site": 15654, "imated": 15655, "\u0120hacking": 15656, "\u0120educated": 15657, "\u0120Nobody": 15658, "\u0120depri": 15659, "\u0120incentive": 15660, "\u00e3\u0124\u00b7": 15661, "\u0120oversight": 15662, "\u0120tribes": 15663, "\u0120Belgium": 15664, "\u0120licensing": 15665, "ourt": 15666, "Product": 15667, "ahl": 15668, "\u0120Gem": 15669, "\u0120specialist": 15670, "\u0120cra": 15671, "anners": 15672, "\u0120Corbyn": 15673, "\u01201973": 15674, "READ": 15675, "\u0120summar": 15676, "\u0120overlook": 15677, "\u0120Application": 15678, "\u0120inappropriate": 15679, "\u0120downloaded": 15680, "Que": 15681, "\u0120Bears": 15682, "\u0120thumb": 15683, "\u0120Character": 15684, "\u0120Reincarnated": 15685, "\u0120Sid": 15686, "\u0120demonstrates": 15687, "sky": 15688, "\u0120Bloomberg": 15689, "\u0120Array": 15690, "\u0120Results": 15691, "\u0120Fourth": 15692, "\u0120EDT": 15693, "\u0120Oscar": 15694, "cend": 15695, "\u0120106": 15696, "\u0120NULL": 15697, "\u0120HERE": 15698, "match": 15699, "\u0120Brun": 15700, "\u0120glucose": 15701, "ieg": 15702, "egu": 15703, "\u0120certified": 15704, "\u0120relie": 15705, "\u0120humanitarian": 15706, "\u0120prayers": 15707, "King": 15708, "\u0120nan": 15709, "hou": 15710, "108": 15711, "ulu": 15712, "\u0120renewable": 15713, "\u0120distinguish": 15714, "\u0120dense": 15715, "\u0120Vent": 15716, "\u0120Package": 15717, "\u0120Boss": 15718, "\u0120editors": 15719, "\u0120migr": 15720, "Tra": 15721, "\u0120Peters": 15722, "\u0120Arctic": 15723, "2004": 15724, "\u0120Cape": 15725, "\u0120locally": 15726, "\u0120lasting": 15727, "\u0120handy": 15728, ".).": 15729, "Pan": 15730, "\u0120RES": 15731, "Index": 15732, "\u0120tensions": 15733, "\u0120formerly": 15734, "\u0120ideological": 15735, "\u0120sensors": 15736, "\u0120dealers": 15737, "\u0120defines": 15738, "Sk": 15739, "\u0120proceeds": 15740, "\u0120proxy": 15741, "azines": 15742, "\u0120Bash": 15743, "\u0120Pad": 15744, "\u0120Craft": 15745, "ealous": 15746, "\u0120sheets": 15747, "ometry": 15748, "June": 15749, "clock": 15750, "TT": 15751, "\u0120Theatre": 15752, "\u0120Buzz": 15753, "\u0120chapters": 15754, "\u0120millenn": 15755, "\u0120dough": 15756, "\u0120Congressional": 15757, "\u0120imagined": 15758, "avior": 15759, "\u0120clinic": 15760, "\u01201945": 15761, "\u0120holder": 15762, "root": 15763, "olester": 15764, "\u0120restart": 15765, "BN": 15766, "\u0120Hamas": 15767, "\u0120Job": 15768, "\u0120orb": 15769, "\u0120ram": 15770, "\u0120disclose": 15771, "\u0120translate": 15772, "\u0120immigrant": 15773, "\u0120annoying": 15774, "\u0120treaty": 15775, "anium": 15776, "\u0120Tea": 15777, "\u0120Legion": 15778, "\u0120crowds": 15779, "\u0120Bec": 15780, "\u0120Aer": 15781, "ohyd": 15782, "Bro": 15783, "Looking": 15784, "\u0120lbs": 15785, "\u0120aggress": 15786, "\u0120seam": 15787, "\u0120intercept": 15788, "\u0120MI": 15789, "mercial": 15790, "activ": 15791, "\u0120Cit": 15792, "\u0120dimension": 15793, "\u0120consistency": 15794, "\u0120rushing": 15795, "\u0120Douglas": 15796, "\u0120trim": 15797, "Install": 15798, "icker": 15799, "\u0120shy": 15800, "106": 15801, "\u0120mentions": 15802, "pelled": 15803, "\u0120Tak": 15804, "cost": 15805, "\u0120classroom": 15806, "\u0120fortune": 15807, "driven": 15808, "\u0120unle": 15809, "\u0120Wheel": 15810, "\u0120investor": 15811, "\u0120Masters": 15812, "kit": 15813, "\u0120associations": 15814, "\u0120Evolution": 15815, "oping": 15816, "uscript": 15817, "\u0120provincial": 15818, "\u0120Walter": 15819, "avi": 15820, "SO": 15821, "\u0120unlimited": 15822, "English": 15823, "\u0120Cards": 15824, "\u0120Ebola": 15825, "nered": 15826, "\u0120revenge": 15827, "\u0120outright": 15828, "umper": 15829, "\u0120fitting": 15830, "\u0120Solid": 15831, "\u0120formally": 15832, "\u0120problematic": 15833, "\u0120hazard": 15834, "\u0120encryption": 15835, "\u0120straightforward": 15836, "\u0120AK": 15837, "\u0120pse": 15838, "\u0120Orb": 15839, "\u0120Chamber": 15840, "\u0120Mak": 15841, "Contents": 15842, "\u0120loyalty": 15843, "\u0120lyrics": 15844, "\u0120Sym": 15845, "\u0120welcomed": 15846, "\u0120cooked": 15847, "\u0120monop": 15848, "\u0120nurse": 15849, "\u0120misleading": 15850, "\u0120eternal": 15851, "\u0120shifting": 15852, "\u0120+=": 15853, "Vis": 15854, "\u0120institutional": 15855, "illary": 15856, "\u0120pant": 15857, "VERT": 15858, "\u0120ACC": 15859, "\u0120Enh": 15860, "\u0120incon": 15861, "\u0120REUTERS": 15862, "\u0120donated": 15863, "\u00e2\u0122\u00a6\u00e2\u0122\u00a6\u00e2\u0122\u00a6\u00e2\u0122\u00a6": 15864, "Intern": 15865, "\u0120exhibit": 15866, "\u0120tire": 15867, "\u0120Ric": 15868, "\u0120Champion": 15869, "\u0120Muhammad": 15870, "NING": 15871, "\u0120Soccer": 15872, "\u0120mobility": 15873, "\u0120varying": 15874, "\u0120Movie": 15875, "\u0120lord": 15876, "oak": 15877, "Field": 15878, "\u0120vector": 15879, "usions": 15880, "\u0120scrap": 15881, "\u0120enabling": 15882, "make": 15883, "Tor": 15884, ".*": 15885, "||": 15886, "\u0120Website": 15887, "\u0120NPC": 15888, "\u0120socialist": 15889, "\u0120Billy": 15890, "\u0120Additional": 15891, "\u0120cargo": 15892, "\u0120farms": 15893, "\u0120Soon": 15894, "\u0120Prize": 15895, "\u0120midnight": 15896, "\u0120900": 15897, "seen": 15898, "\u0120Spot": 15899, "\u0120sheep": 15900, "\u0120sponsored": 15901, "\u0120Hi": 15902, "\u0120Jump": 15903, "\u01201967": 15904, "Microsoft": 15905, "\u0120Agent": 15906, "\u0120charts": 15907, "dir": 15908, "\u0120adjacent": 15909, "\u0120tricks": 15910, "\u0120manga": 15911, "\u0120exagger": 15912, "/>": 15913, "football": 15914, "\u0120FCC": 15915, "GC": 15916, "\u0120Tier": 15917, "andra": 15918, "OUND": 15919, "%),": 15920, "\u0120fruits": 15921, "VC": 15922, "\u0120AA": 15923, "Rober": 15924, "\u0120midst": 15925, "\u00e2\u0139": 15926, "anka": 15927, "\u0120legislature": 15928, "\u0120Neil": 15929, "\u0120tourists": 15930, "\"\"": 15931, "\u0120Warning": 15932, "\u0120Nevertheless": 15933, "\u0120Official": 15934, "\u0120Whatever": 15935, "\u0120mold": 15936, "\u0120drafted": 15937, "\u0120substances": 15938, "\u0120breed": 15939, "\u0120tags": 15940, "\u0120Task": 15941, "\u0120verb": 15942, "\u0120manufactured": 15943, "comments": 15944, "\u0120Polish": 15945, "Prov": 15946, "\u0120determines": 15947, "Obama": 15948, "kers": 15949, "\u0120utterly": 15950, "\u0120sect": 15951, "sche": 15952, "\u0120Gates": 15953, "\u0120Chap": 15954, "\u0120aluminum": 15955, "\u0120zombie": 15956, "\u0120Touch": 15957, "\u0120UP": 15958, "\u0120satisfy": 15959, "\u0120predomin": 15960, "ascript": 15961, "\u0120elaborate": 15962, "\u01201968": 15963, "\u0120measuring": 15964, "\u0120Vari": 15965, "anyahu": 15966, "\u0120sir": 15967, "ulates": 15968, "idges": 15969, "ickets": 15970, "\u0120Spencer": 15971, "TM": 15972, "oubted": 15973, "\u0120prey": 15974, "\u0120installing": 15975, "\u0120Cab": 15976, "reed": 15977, "reated": 15978, "Supp": 15979, "\u0120wrist": 15980, "\u0120Kerry": 15981, "107": 15982, "\u0120Kle": 15983, "\u0120Rachel": 15984, "\u0120cotton": 15985, "\u0120ARE": 15986, "\u0120Ele": 15987, "Control": 15988, "\u0120loads": 15989, "\u0120Dod": 15990, "anas": 15991, "bone": 15992, "\u0120classical": 15993, "\u0120Regional": 15994, "\u0120Integ": 15995, "VM": 15996, "\u0120desires": 15997, "\u0120autism": 15998, "supported": 15999, "\u0120Message": 16000, "\u0120compact": 16001, "writer": 16002, "\u0120109": 16003, "\u0120Hurricane": 16004, "cision": 16005, "\u0120cycles": 16006, "\u0120drill": 16007, "\u0120colleague": 16008, "\u0120maker": 16009, "German": 16010, "\u0120mistaken": 16011, "Sun": 16012, "\u0120Gay": 16013, "\u0120whatsoever": 16014, "\u0120sells": 16015, "\u0120Airl": 16016, "liv": 16017, "\u0120Option": 16018, "\u0120solved": 16019, "\u0120sectors": 16020, "\u0120horizontal": 16021, "\u0120equation": 16022, "\u0120Skill": 16023, "\u0120Bio": 16024, "gement": 16025, "\u0120Snap": 16026, "\u0120Legal": 16027, "\u0120trademark": 16028, "\u0120makeup": 16029, "\u0120assembled": 16030, "\u0120saves": 16031, "\u0120Halloween": 16032, "\u0120Vermont": 16033, "\u0120FROM": 16034, "\u0120farming": 16035, "\u0120Podcast": 16036, "acceptable": 16037, "\u0120Higher": 16038, "\u0120asleep": 16039, "ullivan": 16040, "\u0120referen": 16041, "\u0120Lev": 16042, "\u0120bullets": 16043, "oko": 16044, "HC": 16045, "\u0120stairs": 16046, "\u0120maintains": 16047, "\u0120Lower": 16048, "\u0120Vi": 16049, "\u0120marine": 16050, "\u0120acres": 16051, "\u0120coordinator": 16052, "\u0120Joh": 16053, "\u0120counterparts": 16054, "\u0120Brothers": 16055, "\u0120indict": 16056, "bra": 16057, "\u0120chunk": 16058, "\u0120cents": 16059, "Home": 16060, "\u0120Month": 16061, "\u0120accordingly": 16062, "ifles": 16063, "\u0120Germans": 16064, "\u0120Syn": 16065, "Hub": 16066, "\u0120eyeb": 16067, "\u00e2\u0136\u0122\u00e2\u0136\u0122\u00e2\u0136\u0122\u00e2\u0136\u0122": 16068, "\u0120ranges": 16069, "\u0120Holland": 16070, "\u0120Robot": 16071, "fc": 16072, "Mike": 16073, "\u0120plasma": 16074, "\u0120swap": 16075, "\u0120athlete": 16076, "\u0120Rams": 16077, ",'\"": 16078, "\u0120infections": 16079, "\u0120corrid": 16080, "\u0120vib": 16081, "\u0120patches": 16082, "\u0120traditionally": 16083, "\u0120revelation": 16084, "\u0120sweep": 16085, "\u0120glance": 16086, "\u0120inex": 16087, "2003": 16088, "\u0120Raw": 16089, "working": 16090, "osures": 16091, "\u0120Dat": 16092, "\u0120Lynch": 16093, "\u0120leverage": 16094, "\u0120Reid": 16095, "\u0120correlation": 16096, "iances": 16097, "avascript": 16098, "\u0120repository": 16099, "retty": 16100, "\u01201972": 16101, "240": 16102, "\u0120oun": 16103, "pol": 16104, "\u0120Reed": 16105, "\u0120tactical": 16106, "isite": 16107, "Apple": 16108, "\u0120Quinn": 16109, "\u0120raped": 16110, "illo": 16111, "Europe": 16112, "\u0120algorithms": 16113, "\u0120Rodrig": 16114, "iu": 16115, "\u0120illum": 16116, "\u0120fame": 16117, "\u0120introducing": 16118, "\u0120delays": 16119, "\u0120Raiders": 16120, "\u0120whistle": 16121, "\u0120novels": 16122, "\u0120Really": 16123, "\u0120deriv": 16124, "\u0120publications": 16125, "\u0120Neither": 16126, "\u0120Commerce": 16127, "\u0120aston": 16128, "language": 16129, "Notes": 16130, "\u0120Roth": 16131, "\u0120Fear": 16132, "\u0120mate": 16133, "\u0120parade": 16134, "\u0120QB": 16135, "\u0120maneu": 16136, "\u0120Cincinnati": 16137, "mitting": 16138, "\u0120waist": 16139, "\u0120Rew": 16140, "\u0120discont": 16141, "\u00d0\u00b0": 16142, "\u0120staring": 16143, "\u0120alias": 16144, "\u0120securities": 16145, "\u0120toilet": 16146, "\u0120Jedi": 16147, "\u0120unlaw": 16148, "vised": 16149, "////////": 16150, "](": 16151, "\u0120Weiss": 16152, "\u0120prest": 16153, "\u0120Compan": 16154, "\u0120memo": 16155, "\u0120Grace": 16156, "July": 16157, "\u0120Elite": 16158, "center": 16159, "\u0120Stay": 16160, "\u0120galaxy": 16161, "\u0120tooth": 16162, "\u0120Settings": 16163, "\u0120subjected": 16164, "\u00e3\u0124\u00a6": 16165, "\u0120lineback": 16166, "\u0120retailers": 16167, "\u0120Want": 16168, "\u0120dangers": 16169, "Air": 16170, "\u0120voluntary": 16171, "eway": 16172, "\u0120interpreted": 16173, "otine": 16174, "\u00c3\u00a7": 16175, "\u0120pel": 16176, "Service": 16177, "\u0120Eventually": 16178, "\u0120careers": 16179, "\u0120threaten": 16180, "\u0120memor": 16181, "\u0120Bradley": 16182, "ancies": 16183, "sn": 16184, "\u0120Unknown": 16185, "National": 16186, "\u0120shadows": 16187, "ailand": 16188, "\u0120Dash": 16189, "Everyone": 16190, "izzard": 16191, "March": 16192, "=(": 16193, "\u0120pulls": 16194, "\u0120stranger": 16195, "\u0120backwards": 16196, "\u0120Bernard": 16197, "imensional": 16198, "\u0120chron": 16199, "\u0120theoretical": 16200, "ktop": 16201, "\u0120ware": 16202, "\u0120Investig": 16203, "\u0120Initi": 16204, "\u0120Operations": 16205, "oven": 16206, "ocide": 16207, "*/": 16208, "\u0120flames": 16209, "\u0120Cash": 16210, "shit": 16211, "\u0120cab": 16212, "\u0120Analy": 16213, "\u0120Seah": 16214, "\u0120defining": 16215, "\u0120ordering": 16216, "\u0120immun": 16217, "\u0120persistent": 16218, "ACH": 16219, "Russian": 16220, "mans": 16221, "\u0120hind": 16222, "\u0120photography": 16223, "\u00c2\u00a9": 16224, "\u0120hug": 16225, "\u0120107": 16226, "\u0120Hence": 16227, "iots": 16228, "udeau": 16229, "\u0120subsidies": 16230, "\u0120routinely": 16231, "\u0120Device": 16232, "itic": 16233, "\u0120disgust": 16234, "lander": 16235, "\u01201940": 16236, "\u0120assignment": 16237, "\u0120Besides": 16238, "wick": 16239, "\u0120Dust": 16240, "usc": 16241, "structed": 16242, "111": 16243, "develop": 16244, "\u0120fond": 16245, "\u0120intersection": 16246, "\u0120dignity": 16247, "\u0120commissioner": 16248, "Without": 16249, "reach": 16250, "\u0120cartoon": 16251, "\u0120scales": 16252, "\u00e3\u0125\u0143": 16253, "FIG": 16254, "\u0120surveys": 16255, "\u0120Indonesia": 16256, "\u0120artwork": 16257, "\u0120unch": 16258, "\u0120cycling": 16259, "unct": 16260, "auer": 16261, "orate": 16262, "\u0120Obviously": 16263, "\u0120characterized": 16264, "feld": 16265, "\u0120affirm": 16266, "\u0120innings": 16267, "\u0120\u00e9": 16268, "\u0120aliens": 16269, "\u0120cloth": 16270, "etooth": 16271, "\u0120Certain": 16272, "\u00c2\u00a7": 16273, "\u0120digest": 16274, "know": 16275, "\u0120XL": 16276, "\u0120predictions": 16277, "\u0120din": 16278, "WAR": 16279, "\u0120aftermath": 16280, "Example": 16281, "\u0120Success": 16282, "\u0120Thr": 16283, "IGN": 16284, "\u0120miner": 16285, "Bus": 16286, "\u0120clarity": 16287, "heimer": 16288, "\u0120OUT": 16289, "\u0120Send": 16290, "\u0120Circle": 16291, "\u0120Diet": 16292, "\u0120pronounced": 16293, "\u0120creators": 16294, "\u0120earthquake": 16295, "attery": 16296, "geons": 16297, "\u0120od": 16298, "\u0120laying": 16299, "orp": 16300, "Ult": 16301, "project": 16302, "\u0120undermin": 16303, "\u0120sequel": 16304, "Sam": 16305, "\u0120Darkness": 16306, "\u0120reception": 16307, "bull": 16308, "YS": 16309, "\u0120Vir": 16310, "\u0120sequences": 16311, "\u0120Coin": 16312, "\u0120outfit": 16313, "\u0120Wait": 16314, "119": 16315, "\u0120delivers": 16316, "......": 16317, "\u0120blown": 16318, "\u0120Esc": 16319, "\u0120Math": 16320, "perm": 16321, "\u0120Ul": 16322, "\u0120glim": 16323, "\u0120facial": 16324, "\u0120greenhouse": 16325, "\u0120tokens": 16326, "/-": 16327, "\u0120Annual": 16328, "\u0120ONE": 16329, "\u0120teenage": 16330, "\u0120Physical": 16331, "\u0120Lang": 16332, "\u0120Celt": 16333, "\u0120sued": 16334, "ividually": 16335, "\u0120patience": 16336, "chair": 16337, "regular": 16338, "\u0120aug": 16339, "inv": 16340, "except": 16341, "\u0120Lil": 16342, "\u0120nest": 16343, "fd": 16344, "sum": 16345, "\u0120Chase": 16346, "Russia": 16347, "\u0120Jennifer": 16348, "\u0120offseason": 16349, "Overall": 16350, "Fore": 16351, "\u0120riot": 16352, "Aud": 16353, "former": 16354, "\u0120defenders": 16355, "\u0120CT": 16356, "iotic": 16357, "ribly": 16358, "\u0120automated": 16359, "\u0120penis": 16360, "\u0120insist": 16361, "\u0120diagram": 16362, "\u0120SQL": 16363, "\u0120Garc": 16364, "\u0120witch": 16365, "client": 16366, "ierra": 16367, "ambers": 16368, "\u0120recount": 16369, "far": 16370, "Very": 16371, "osterone": 16372, "\u0120appreciated": 16373, "\u0120Perfect": 16374, "Section": 16375, "\u0120doses": 16376, "ocaust": 16377, "\u0120costly": 16378, "\u0120grams": 16379, "\u0120Shi": 16380, "\u0120wrestling": 16381, "\u01201971": 16382, "\u0120trophy": 16383, "\u0120nerve": 16384, "\u0120Kaz": 16385, "\u0120Experience": 16386, "\u0120pledged": 16387, "\u0120playback": 16388, "\u0120creativity": 16389, "bye": 16390, "\u0120attackers": 16391, "\u0120holders": 16392, "\u0120Coach": 16393, "\u0120PhD": 16394, "\u0120transfers": 16395, "\u0120colored": 16396, "\u0120Hindu": 16397, "\u0120drown": 16398, "\u0120listened": 16399, "\u0120WA": 16400, "iasm": 16401, "PO": 16402, "\u0120appealing": 16403, "\u0120disclosed": 16404, "\u0120Chicken": 16405, "agging": 16406, "\u0120pleaded": 16407, "\u0120navigation": 16408, "\u0120Returns": 16409, "\u0120[[": 16410, "ROR": 16411, "EA": 16412, "\u0120photographer": 16413, "\u0120Rider": 16414, "ippers": 16415, "\u0120slice": 16416, "\u0120erect": 16417, "\u0120hed": 16418, "issance": 16419, "\u0120Vikings": 16420, "urious": 16421, "\u0120appet": 16422, "oubtedly": 16423, "Child": 16424, "\u0120authentic": 16425, "oos": 16426, "\u0120Making": 16427, "\u0120announcing": 16428, "\u0120bod": 16429, "\u0120meter": 16430, "\u0120Nine": 16431, "\u0120Rogue": 16432, "\u0120workforce": 16433, "\u0120renewed": 16434, "\u0120organisations": 16435, "acs": 16436, "PLE": 16437, "Short": 16438, "\u0120compounds": 16439, "\u0120Visit": 16440, "\u0120envelop": 16441, "earth": 16442, "\u0120supportive": 16443, "ggle": 16444, "\u0120Brussels": 16445, "\u0120Guild": 16446, "Create": 16447, "REL": 16448, "\u0120averaged": 16449, "\u01201969": 16450, "riages": 16451, "\u0120lengthy": 16452, "\u0120forgot": 16453, "Okay": 16454, "\u0120Erd": 16455, "\u0120dealer": 16456, "\u0120recession": 16457, "DD": 16458, "\u0120desperately": 16459, "\u0120hunger": 16460, "\u0120sticks": 16461, "\u0120mph": 16462, "\u0120Faith": 16463, "\u0120intentionally": 16464, "\u0120demol": 16465, "ueller": 16466, "\u0120Sale": 16467, "\u0120debris": 16468, "spring": 16469, "\u0120leap": 16470, ">>>>": 16471, "\u0120containers": 16472, "selling": 16473, "ranean": 16474, "attering": 16475, "\u0120commented": 16476, "\u0120CM": 16477, "onut": 16478, "\u0120woods": 16479, "especially": 16480, "\u0120organize": 16481, "ivic": 16482, "\u0120Woods": 16483, "anga": 16484, "squ": 16485, "\u0120maj": 16486, "amon": 16487, "\u0120axis": 16488, "\u01201974": 16489, "\u0120Denmark": 16490, "\u0120warrior": 16491, "\u0120Pand": 16492, "\u0120outlined": 16493, "\u0120BO": 16494, "insula": 16495, "zilla": 16496, "ebook": 16497, "\u0120dare": 16498, "\u0120searched": 16499, "\u0120navigate": 16500, "Sn": 16501, "writing": 16502, "\u0120united": 16503, "Japan": 16504, "\u0120Hebrew": 16505, "\u0120flame": 16506, "\u0120relies": 16507, "\u0120catching": 16508, "\u0120Sho": 16509, "\u0120imprisonment": 16510, "\u0120pockets": 16511, "\u0120closure": 16512, "\u0120Fam": 16513, "tim": 16514, "adequ": 16515, "Activity": 16516, "\u0120recruiting": 16517, "\u0120WATCH": 16518, "\u0120Argentina": 16519, "dest": 16520, "\u0120apologize": 16521, "oro": 16522, "\u0120lacks": 16523, "\u0120tuned": 16524, "\u0120Griffin": 16525, "\u0120infamous": 16526, "\u0120celebrity": 16527, "sson": 16528, "\u0120----------------------------------------------------------------": 16529, "\u0120Isis": 16530, "\u0120Display": 16531, "\u0120credibility": 16532, "\u0120economies": 16533, "\u0120headline": 16534, "\u0120Cowboys": 16535, "\u0120indef": 16536, "\u0120lately": 16537, "\u0120incentives": 16538, "button": 16539, "\u0120Mob": 16540, "Aut": 16541, "\u0120resigned": 16542, "\u0120Om": 16543, "camp": 16544, "\u0120profiles": 16545, "\u0120schemes": 16546, "olphins": 16547, "ayed": 16548, "Clinton": 16549, "enh": 16550, "\u0120Yahoo": 16551, "\u0120abst": 16552, "\u0120ank": 16553, "suits": 16554, "\u0120wished": 16555, "\u0120Marco": 16556, "udden": 16557, "\u0120sphere": 16558, "\u0120Bishop": 16559, "\u0120incorporated": 16560, "\u0120Plant": 16561, "114": 16562, "\u0120hated": 16563, "pic": 16564, "\u0120donate": 16565, "\u0120lined": 16566, "\u0120beans": 16567, "\u0120stealing": 16568, "\u0120costume": 16569, "\u0120sheriff": 16570, "\u0120forty": 16571, "\u0120intact": 16572, "\u0120adapted": 16573, "\u0120travelling": 16574, "bart": 16575, "\u0120nicely": 16576, "\u0120dried": 16577, "\u0120scal": 16578, "osity": 16579, "NOTE": 16580, "\u0120Bh": 16581, "\u0120Broncos": 16582, "\u0120Ign": 16583, "\u0120intimate": 16584, "\u0120chemistry": 16585, "\u0120optimal": 16586, "Deb": 16587, "\u0120Generation": 16588, "\u0120],": 16589, "ichi": 16590, "\u0120Wii": 16591, "\u0120YOUR": 16592, "ventions": 16593, "Write": 16594, "\u0120popul": 16595, "unning": 16596, "\u0120Wor": 16597, "Vol": 16598, "\u0120queen": 16599, "heads": 16600, "KK": 16601, "\u0120analyze": 16602, "opic": 16603, "earchers": 16604, "\u0120dot": 16605, "legraph": 16606, "astically": 16607, "\u0120upgrades": 16608, "\u0120cares": 16609, "\u0120extending": 16610, "\u0120freeze": 16611, "\u0120inability": 16612, "\u0120organs": 16613, "\u0120pretend": 16614, "\u0120outlet": 16615, "113": 16616, "olan": 16617, "\u0120Mall": 16618, "uling": 16619, "talk": 16620, "\u0120expressing": 16621, "\u0120Always": 16622, "\u0120Begin": 16623, "files": 16624, "\u0120licenses": 16625, "%%": 16626, "\u0120Mitt": 16627, "\u0120filters": 16628, "\u0120Milwaukee": 16629, "GN": 16630, "\u0120unfold": 16631, "Mo": 16632, "\u0120nutrition": 16633, "ppo": 16634, "Bo": 16635, "\u0120founding": 16636, "\u0120undermine": 16637, "\u0120easiest": 16638, "\u0120Czech": 16639, "\u0120Mack": 16640, "\u0120sexuality": 16641, "\u0120Nixon": 16642, "Win": 16643, "\u0120Arn": 16644, "\u0120Kin": 16645, "\u00e3\u0124\u00a3": 16646, "icer": 16647, "\u0120fortun": 16648, "\u0120surfaces": 16649, "aghd": 16650, "\u0120carriers": 16651, "\u0120PART": 16652, "\u0120Tib": 16653, "\u0120interval": 16654, "\u0120frustrating": 16655, "\u0120Ship": 16656, "\u0120Armed": 16657, "ffe": 16658, "\u0120boats": 16659, "\u0120Abraham": 16660, "inis": 16661, "\u0120suited": 16662, "thread": 16663, "iov": 16664, "abul": 16665, "\u0120Venezuela": 16666, "\u0120tom": 16667, "super": 16668, "\u0120castle": 16669, "although": 16670, "ioxide": 16671, "eches": 16672, "\u0120evolutionary": 16673, "\u0120negotiate": 16674, "\u0120confronted": 16675, "Remember": 16676, "\u0120170": 16677, "Such": 16678, "\u0120911": 16679, "mult": 16680, "\u0120Abyss": 16681, "urry": 16682, "kees": 16683, "spec": 16684, "\u0120Barbara": 16685, "\u0120belonging": 16686, "\u0120villain": 16687, "istani": 16688, "\u0120accountable": 16689, "\u0120portions": 16690, "\u0120Decl": 16691, "Ur": 16692, "\u0120Kate": 16693, "gre": 16694, "\u0120magazines": 16695, "UCK": 16696, "\u0120regulate": 16697, "omon": 16698, "\u0120Almost": 16699, "\u0120overview": 16700, "\u0120scram": 16701, "\u0120loot": 16702, "\u0120Fitz": 16703, "\u0120characteristic": 16704, "\u0120Snake": 16705, "say": 16706, "\u0120Rico": 16707, "\u0120trait": 16708, "\u0120Joined": 16709, "aucus": 16710, "\u0120adaptation": 16711, "\u0120Airlines": 16712, "\u0120archae": 16713, "\u0120Ide": 16714, "\u0120bikes": 16715, "\u0120literary": 16716, "\u0120influences": 16717, "\u0120Used": 16718, "Creat": 16719, "\u0120plea": 16720, "\u0120Defence": 16721, "\u0120Assass": 16722, "\u0120pond": 16723, "ULT": 16724, ")\"": 16725, "\u0120evaluated": 16726, "\u0120obtaining": 16727, "\u0120demographic": 16728, "\u0120vigil": 16729, "aley": 16730, "\u0120spouse": 16731, "\u0120Seahawks": 16732, "respons": 16733, "\u0120Belt": 16734, "umatic": 16735, "\u0120rises": 16736, "runner": 16737, "\u0120Michelle": 16738, "\u0120potent": 16739, "race": 16740, "\u0120PAC": 16741, "Find": 16742, "olesterol": 16743, "ISS": 16744, "\u0120Introduced": 16745, "resses": 16746, "ignment": 16747, "Os": 16748, "\u0120Tu": 16749, "\u0120Dex": 16750, "icides": 16751, "\u0120sparked": 16752, "\u0120Laura": 16753, "\u0120Bryant": 16754, "\u0120smiling": 16755, "\u0120Nexus": 16756, "\u0120defendants": 16757, "\u0120Catal": 16758, "\u0120dishes": 16759, "shaped": 16760, "\u0120prolong": 16761, "mt": 16762, "($": 16763, "\u00e3\u0122\u0124": 16764, "\u0120calculations": 16765, "\u0120Same": 16766, "\u0120piv": 16767, "HH": 16768, "\u0120cancelled": 16769, "\u0120grin": 16770, "\u0120territories": 16771, "istically": 16772, "Come": 16773, "\u0120Parent": 16774, "Project": 16775, "\u0120neglig": 16776, "\u0120Privacy": 16777, "\u0120ammo": 16778, "LECT": 16779, "olutely": 16780, "\u0120Epic": 16781, "\u0120misunder": 16782, "wal": 16783, "April": 16784, "mos": 16785, "pathy": 16786, "\u0120Carson": 16787, "\u0120albums": 16788, "\u0120Easy": 16789, "\u0120pistol": 16790, "<<": 16791, "\u0120\\(": 16792, "target": 16793, "help": 16794, "\u0120interpre": 16795, "conscious": 16796, "\u0120Housing": 16797, "\u0120Joint": 16798, "127": 16799, "\u0120beers": 16800, "science": 16801, "\u0120Firefox": 16802, "effective": 16803, "\u0120Cabin": 16804, "\u0120Okay": 16805, "\u0120Applic": 16806, "\u0120spacecraft": 16807, "\u0120SR": 16808, "vet": 16809, "\u0120Strange": 16810, "SB": 16811, "\u0120corps": 16812, "iberal": 16813, "efficient": 16814, "\u0120prevalence": 16815, "\u0120economists": 16816, "118": 16817, "Thread": 16818, "ordable": 16819, "ODE": 16820, "\u0120Cant": 16821, "=-=-": 16822, "ifiable": 16823, "\u0120Around": 16824, "\u0120pole": 16825, "\u0120willingness": 16826, "CLA": 16827, "\u0120Kid": 16828, "\u0120complement": 16829, "\u0120scattered": 16830, "\u0120inmates": 16831, "\u0120bleeding": 16832, "every": 16833, "\u0120queue": 16834, "\u0120Train": 16835, "\u0120hij": 16836, "\u0120melee": 16837, "pleted": 16838, "\u0120digit": 16839, "\u0120gem": 16840, "official": 16841, "\u0120lifting": 16842, "\u00d0\u00b5": 16843, "Requ": 16844, "itutes": 16845, "\u0120packaging": 16846, "\u0120Workers": 16847, "hran": 16848, "\u0120Lebanon": 16849, "olesc": 16850, "\u0120punished": 16851, "\u0120Juan": 16852, "\u0120jam": 16853, "\u0120Document": 16854, "\u0120mapping": 16855, "icates": 16856, "\u0120inevitably": 16857, "\u0120vanilla": 16858, "\u0120Ton": 16859, "\u0120watches": 16860, "\u0120leagues": 16861, "\u0120initiated": 16862, "degree": 16863, "portion": 16864, "\u0120recalls": 16865, "\u0120ruin": 16866, "\u0120melt": 16867, "IAN": 16868, "\u0120hem": 16869, "Exp": 16870, "\u0120baking": 16871, "\u0120Colomb": 16872, "atible": 16873, "\u0120radius": 16874, "plug": 16875, "\u0120IF": 16876, "etically": 16877, "\u0120fict": 16878, "HER": 16879, "\u0120Tap": 16880, "atinum": 16881, "\u0120ink": 16882, "\u0120coh": 16883, "\u0120Wizard": 16884, "both": 16885, "tex": 16886, "\u0120spends": 16887, "\u0120Currently": 16888, "\u0120Pit": 16889, "\u0120neurons": 16890, "ignt": 16891, "\u0120rall": 16892, "\u0120buses": 16893, "building": 16894, "\u0120adjustments": 16895, "\u0120cried": 16896, "iblical": 16897, "atted": 16898, "\u0120Zion": 16899, "\u0120Matter": 16900, "\u0120meditation": 16901, "\u0120Dennis": 16902, "\u0120ours": 16903, "\u0120Tab": 16904, "\u0120rankings": 16905, "ortal": 16906, "\u0120advers": 16907, "\u0120surrender": 16908, "\u0120Gob": 16909, "cium": 16910, "omas": 16911, "imeter": 16912, "\u0120multiplayer": 16913, "\u0120heroin": 16914, "\u0120optimistic": 16915, "\u0120indicator": 16916, "\u0120Brig": 16917, "\u0120grocery": 16918, "\u0120applicant": 16919, "\u0120Rocket": 16920, "vid": 16921, "Exception": 16922, "pent": 16923, "\u0120organizing": 16924, "\u0120encounters": 16925, "\u0120TOD": 16926, "\u0120jewel": 16927, "Save": 16928, "\u0120Christie": 16929, "\u0120heating": 16930, "\u0120lazy": 16931, "\u0120CP": 16932, "\u0120cousin": 16933, "Config": 16934, "\u0120regener": 16935, "\u0120nearest": 16936, "\u0120achieving": 16937, "ENS": 16938, "throw": 16939, "\u0120Richmond": 16940, "antle": 16941, "2002": 16942, "\u0120anten": 16943, "bird": 16944, "133": 16945, "\u0120narc": 16946, "raint": 16947, "unny": 16948, "\u0120Hispanic": 16949, "ournaments": 16950, "\u0120prophe": 16951, "\u0120Thailand": 16952, "\u0120Ti": 16953, "\u0120injection": 16954, "\u0120inherit": 16955, "ravis": 16956, "\u0120medi": 16957, "\u0120whoever": 16958, "\u0120DEBUG": 16959, "GP": 16960, "\u0120Hud": 16961, "Card": 16962, "prom": 16963, "\u0120por": 16964, "\u0120overhead": 16965, "Law": 16966, "\u0120violate": 16967, "\u0120heated": 16968, "\u0120descriptions": 16969, "\u0120achievements": 16970, "\u0120Beer": 16971, "\u0120Quant": 16972, "Was": 16973, "\u0120eighth": 16974, "\u0120Iv": 16975, "\u0120specialized": 16976, "UPDATE": 16977, "\u0120Delta": 16978, "Pop": 16979, "Jul": 16980, "\u0120Ask": 16981, "ophy": 16982, "\u0120newsletters": 16983, "\u0120Tool": 16984, "\u0120gard": 16985, "\u0120Confeder": 16986, "\u0120GMT": 16987, "\u0120Abbott": 16988, "\u0120immunity": 16989, "\u0120VM": 16990, "Islam": 16991, "\u0120implicit": 16992, "wd": 16993, "\u01201944": 16994, "ravity": 16995, "ometric": 16996, "\u0120surviving": 16997, "urai": 16998, "\u0120Prison": 16999, "\u0120rust": 17000, "\u0120Sketch": 17001, "\u0120bees": 17002, "\u0120Theory": 17003, "\u0120merit": 17004, "Tex": 17005, "chat": 17006, "\u0120mim": 17007, "\u0120paste": 17008, "\u0120Koch": 17009, "\u0120ignorance": 17010, "\u0120Shoot": 17011, "\u0120basement": 17012, "United": 17013, "\u0120Advis": 17014, "height": 17015, "\u0120foster": 17016, "\u0120detain": 17017, "information": 17018, "\u0120neural": 17019, "';": 17020, "\u0120proves": 17021, "allery": 17022, "\u0120invitation": 17023, "umbers": 17024, "\u0120cattle": 17025, "\u0120bicycle": 17026, "zi": 17027, "\u0120consultant": 17028, "\u0120apology": 17029, "\u0120Tiger": 17030, "\u0120123": 17031, "999": 17032, "\u0120individually": 17033, "rt": 17034, "igion": 17035, "\u0120Brazilian": 17036, "\u0120disturb": 17037, "\u0120entrepreneurs": 17038, "\u0120forests": 17039, "cerpt": 17040, "plates": 17041, "pher": 17042, "clipse": 17043, "\u0120twitter": 17044, "\u0120acids": 17045, "ographical": 17046, "hum": 17047, "\u0120Bald": 17048, "ifully": 17049, "\u0120compiler": 17050, "\u0120DA": 17051, "\u0120donor": 17052, "asi": 17053, "\u0120tribal": 17054, "lash": 17055, "\u0120Config": 17056, "\u0120applicants": 17057, "\u0120salaries": 17058, "135": 17059, "Putin": 17060, "\u0120Focus": 17061, "irs": 17062, "\u0120misconduct": 17063, "\u0120Haz": 17064, "\u0120eaten": 17065, "Mobile": 17066, "Muslim": 17067, "\u0120Marcus": 17068, "viol": 17069, "\u0120favorable": 17070, "\u0120stub": 17071, "adin": 17072, "\u0120Hob": 17073, "\u0120faithful": 17074, "\u0120electronics": 17075, "\u0120vacuum": 17076, "wait": 17077, "backed": 17078, "economic": 17079, "dist": 17080, "\u0120tenure": 17081, "\u0120sincere": 17082, "\u0120Together": 17083, "\u0120Wave": 17084, "\u0120progression": 17085, "\u0120denying": 17086, "\u0120distress": 17087, "braska": 17088, "third": 17089, "\u0120mixing": 17090, "\u0120colonial": 17091, "\u0120privately": 17092, "\u0120unrest": 17093, "aternity": 17094, "\u0120premises": 17095, "anti": 17096, "gregation": 17097, "\u0120licence": 17098, "\u0120Hind": 17099, "\u0120Samuel": 17100, "\u0120convincing": 17101, "\u0120Ace": 17102, "\u0120Rust": 17103, "\u0120Netanyahu": 17104, "\u0120handles": 17105, "\u0120Patch": 17106, "oriented": 17107, "aho": 17108, "\u0120Gonz": 17109, "\u0120hackers": 17110, "claimer": 17111, "\u0120customs": 17112, "\u0120Gran": 17113, "fighters": 17114, "\u0120luc": 17115, "\u0120manuscript": 17116, "arenthood": 17117, "\u0120devil": 17118, "\u0120warriors": 17119, "\u0120offenders": 17120, "William": 17121, "\u0120holidays": 17122, "\u0120nightmare": 17123, "\u0120lever": 17124, "ifferent": 17125, "Stat": 17126, "\u0120exhibition": 17127, "puted": 17128, "\u0120Pure": 17129, "\u0120alpha": 17130, "\u0120enthusiasm": 17131, "\u0120Representatives": 17132, "EAR": 17133, "\u0120Typ": 17134, "\u0120wheat": 17135, "\u0120Alf": 17136, "\u0120correction": 17137, "\u0120evangel": 17138, "ATT": 17139, "Miss": 17140, "\u0120soup": 17141, "\u0120implied": 17142, "param": 17143, "\u0120sexy": 17144, "\u0120Lux": 17145, "\u0120republic": 17146, "patch": 17147, "ablish": 17148, "\u0120icons": 17149, "\u0120fathers": 17150, "\u0120GET": 17151, "\u0120Carib": 17152, "\u0120regulated": 17153, "\u0120Cohen": 17154, "\u0120Bobby": 17155, "\u0120ner": 17156, "\u0120bent": 17157, "ventory": 17158, "\u0120Along": 17159, "\u0120EST": 17160, "\u0120Wallace": 17161, "\u0120murders": 17162, "rise": 17163, "kell": 17164, "\u0120Commonwealth": 17165, "\u0120nasty": 17166, "eta": 17167, "\u0120MIT": 17168, "\u0120administered": 17169, "\u0120genuinely": 17170, "Editor": 17171, "nick": 17172, "\u0120hydro": 17173, "********************************": 17174, "\u0120Ble": 17175, "\u0120fines": 17176, "\u0120gorge": 17177, "ausible": 17178, "rh": 17179, "\u0120apple": 17180, "mentioned": 17181, "\u0120rope": 17182, "otyp": 17183, "HR": 17184, "\u0120disappointing": 17185, "\u0120cage": 17186, "nik": 17187, "\u0120doubts": 17188, "\u0120FREE": 17189, "prints": 17190, "\u0120MUST": 17191, "\u0120vendors": 17192, "\u0120Inqu": 17193, "\u0120liberals": 17194, "\u0120contractor": 17195, "\u0120upside": 17196, "children": 17197, "\u0120tricky": 17198, "\u0120regulators": 17199, "charged": 17200, "liter": 17201, "\u0120***": 17202, "\u0120rebell": 17203, "lang": 17204, "\u0120locals": 17205, "\u0120physicians": 17206, "\u0120hey": 17207, "arse": 17208, "tm": 17209, "\u0120Lex": 17210, "\u0120behavioral": 17211, "successful": 17212, "FX": 17213, "\u0120brick": 17214, "ovic": 17215, "\u0120conform": 17216, "\u0120reviewing": 17217, "\u0120insights": 17218, "\u0120biology": 17219, "\u0120Remove": 17220, "\u0120Extra": 17221, "\u0120committing": 17222, "induced": 17223, "ignty": 17224, "igm": 17225, "\u0120atomic": 17226, "Common": 17227, "\u0120EM": 17228, "\u0120Pere": 17229, "\u0120Items": 17230, "eh": 17231, "\u0120preserved": 17232, "\u0120Hood": 17233, "\u0120prisoner": 17234, "\u0120bankruptcy": 17235, "\u0120gren": 17236, "ushes": 17237, "\u0120exploitation": 17238, "\u0120signatures": 17239, "\u0120finan": 17240, "],\"": 17241, "\u0120MR": 17242, "\u0120meg": 17243, "remlin": 17244, "\u0120musicians": 17245, "\u0120selecting": 17246, "\u0120examining": 17247, "INK": 17248, "lated": 17249, "Hi": 17250, "\u0120artic": 17251, "\u0120pets": 17252, "\u0120impair": 17253, "\u0120MAN": 17254, "\u0120tablets": 17255, "include": 17256, "Range": 17257, "\u0120caut": 17258, "\u0120logs": 17259, "\u0120mounting": 17260, "\u0120unaware": 17261, "\u0120dynamics": 17262, "\u0120Palestine": 17263, "\u0120Quarter": 17264, "\u0120Purple": 17265, "\u0120ma": 17266, "\u0120Import": 17267, "\u0120collections": 17268, "ciation": 17269, "\u0120successor": 17270, "\u0120clone": 17271, "\u0120aiming": 17272, "\u0120possessed": 17273, "\u0120sticking": 17274, "\u0120shaking": 17275, "\u0120locate": 17276, "\u0120Hockey": 17277, "Turn": 17278, "170": 17279, "\u0120fifteen": 17280, "\u0120Harrison": 17281, "\u0120continuously": 17282, "\u0120TC": 17283, "\u0120Valent": 17284, "\u0120Rescue": 17285, "\u0120bypass": 17286, "amount": 17287, "\u0120mast": 17288, "\u0120protects": 17289, "\u0120artistic": 17290, "\u0120sometime": 17291, "\u0120shoe": 17292, "\u0120shouted": 17293, "ificant": 17294, "etitive": 17295, "\u0120Register": 17296, "\u0120Jin": 17297, "\u0120concentrated": 17298, "lington": 17299, "onies": 17300, "\u0120generator": 17301, "yrim": 17302, "\u0120Armen": 17303, "\u0120clearing": 17304, "ido": 17305, "\u0120TW": 17306, "alph": 17307, "\u0120ladies": 17308, "Hard": 17309, "\u0120dialog": 17310, "\u0120inputs": 17311, "\u00e6\u013e": 17312, "\u0120poses": 17313, "\u0120slots": 17314, "\u0120Premium": 17315, "\u0120leaks": 17316, "\u0120bosses": 17317, "\u0120113": 17318, "course": 17319, "Acc": 17320, "\u0120Newton": 17321, "\u0120Austria": 17322, "\u0120Mage": 17323, "\u0120teaches": 17324, "abad": 17325, "\u0120wears": 17326, "\u0120cyl": 17327, "\u0120curse": 17328, "\u0120Sales": 17329, "\u0120Wings": 17330, "\u0120psy": 17331, "\u0120gaps": 17332, "\u0120Iceland": 17333, "\u0120Pinterest": 17334, "\u0120landlord": 17335, "\u0120definitions": 17336, "\u0120Ker": 17337, "\u0120sufficiently": 17338, "\u0120Pence": 17339, "\u0120Architect": 17340, "\u0120surpass": 17341, "\u0120114": 17342, "\u0120superhero": 17343, "\u0120Disease": 17344, "\u0120priests": 17345, "\u0120Culture": 17346, "\u0120definitive": 17347, "\u0120secretly": 17348, "\u0120Dance": 17349, "install": 17350, "chief": 17351, "\u0120Jessica": 17352, "Would": 17353, "Updated": 17354, "\u0120locker": 17355, "\u0120Kay": 17356, "\u0120memorial": 17357, "\u00e8\u00a6": 17358, "fat": 17359, "\u0120disgu": 17360, "\u0120flavors": 17361, "\u0120Baseball": 17362, "\u0120Resistance": 17363, "\u0120kicks": 17364, "\u0120env": 17365, "\u0120teenagers": 17366, "Dark": 17367, "\u0120CAR": 17368, "\u0120halt": 17369, "\u0120LG": 17370, "\u0120Gabriel": 17371, "\u0120fever": 17372, "\u0120satur": 17373, "\u0120mall": 17374, "\u0120affiliate": 17375, "\u0120Sleep": 17376, "\u0120Specific": 17377, "\u0120Vel": 17378, "\u0120jar": 17379, "\u0120Sacred": 17380, "\u0120Edwards": 17381, "\u0120ACL": 17382, "\u0120retained": 17383, "\u0120Giant": 17384, "\u0120limitation": 17385, "inces": 17386, "\u0120refusal": 17387, "\u0120Tale": 17388, "\u0120Butler": 17389, "\u0120accidents": 17390, "\u0120CSS": 17391, "\u0120imported": 17392, "\u0120Copy": 17393, "\u00ce\u00b1": 17394, "ERT": 17395, "zel": 17396, "\u0120divisions": 17397, "hots": 17398, "\u0120Alb": 17399, "\u0120DS": 17400, "Loader": 17401, "Washington": 17402, "atisf": 17403, "\u0120Creative": 17404, "\\.": 17405, "\u0120Autom": 17406, "redict": 17407, "\u0120receptor": 17408, "\u0120Carlos": 17409, "Method": 17410, "oka": 17411, "\u0120malicious": 17412, "\u0120stepping": 17413, ",[": 17414, "\u0120Dad": 17415, "\u0120attraction": 17416, "\u0120Effects": 17417, "\u0120Pirate": 17418, "\u0120Cer": 17419, "\u0120Industry": 17420, "\u0120Rud": 17421, "\u0120charter": 17422, "\u0120dining": 17423, "\u0120insists": 17424, "\u0120configure": 17425, "\u0120(#": 17426, "\u0120Simple": 17427, "\u0120Scroll": 17428, "UTC": 17429, "175": 17430, "\u0120Kon": 17431, "\u0120marketplace": 17432, "\u0120\u00e3\u0124": 17433, "\u0120refres": 17434, "\u0120gates": 17435, "erred": 17436, "\u0120Pod": 17437, "\u0120behave": 17438, "Frank": 17439, "node": 17440, "\u0120endorsed": 17441, "hett": 17442, "asive": 17443, "\u0120Homeland": 17444, "\u0120rides": 17445, "\u0120Leave": 17446, "erness": 17447, "\u0120flooding": 17448, "AFP": 17449, "\u0120risen": 17450, "\u0120continually": 17451, "\u0120unanim": 17452, "\u0120Contract": 17453, "\u0120Pas": 17454, "\u0120guided": 17455, "\u0120Chile": 17456, "bd": 17457, "\u0120succ": 17458, "ptic": 17459, "\u0120committees": 17460, "\u0120Luther": 17461, "\u0120Anyone": 17462, "\u0120sab": 17463, "124": 17464, "\u0120pixel": 17465, "\u0120Bak": 17466, "\u0120Tag": 17467, "\u0120Bennett": 17468, "Enter": 17469, "small": 17470, "\u0120Presidential": 17471, "\u0120pul": 17472, "\u0120contrace": 17473, "archive": 17474, "\u0120coastal": 17475, "\u0120Kids": 17476, "192": 17477, "\u00e2\u0122\u00b2": 17478, "icky": 17479, "INGTON": 17480, "\u0120wolf": 17481, "\u0120Stalin": 17482, "Tur": 17483, "idget": 17484, "amas": 17485, "\u0120Unless": 17486, "\u0120sponsor": 17487, "\u0120morph": 17488, "\u0120Choose": 17489, "\u0120runner": 17490, "\u0120unbel": 17491, "\u0120mud": 17492, "\u0120Mana": 17493, "\u0120dubbed": 17494, "\u0120godd": 17495, "urers": 17496, "window": 17497, "\u0120relied": 17498, "\u0120celebrating": 17499, "osc": 17500, "\u0120135": 17501, "\u0120lobbying": 17502, "\u0120incomplete": 17503, "\u0120restriction": 17504, "\u0120incap": 17505, "itus": 17506, "\u0120expectation": 17507, "\u0120Apollo": 17508, "\u0120intens": 17509, "\u0120sync": 17510, "GH": 17511, "\u0120manipulation": 17512, "BY": 17513, "\u0120spear": 17514, "\u0120breasts": 17515, "\u0120volcan": 17516, "ilia": 17517, "Material": 17518, "\u0120formats": 17519, "\u0120Bast": 17520, "\u0120parliamentary": 17521, "\u0120snake": 17522, "\u0120servants": 17523, "\u0120Trudeau": 17524, "\u0120Grim": 17525, "\u0120Arabic": 17526, "\u0120SCP": 17527, "\u0120Boys": 17528, "station": 17529, "\u0120prospective": 17530, "orde": 17531, "initialized": 17532, "\u0120bored": 17533, "ABLE": 17534, "\u0120accessed": 17535, "\u0120taxi": 17536, "\u0120Shell": 17537, "aiden": 17538, "ursed": 17539, "inates": 17540, "\u0120Insurance": 17541, "\u0120Pete": 17542, "September": 17543, "650": 17544, "\u0120adventures": 17545, "\u0120Cover": 17546, "\u0120tribute": 17547, "\u0120sketch": 17548, "\u0120empower": 17549, "\u0120\u00d8": 17550, "\u0120Glenn": 17551, "\u0120Daw": 17552, "=\\\"": 17553, "\u0120Politics": 17554, "\u0120guides": 17555, "\u0120dioxide": 17556, "\u0120Gore": 17557, "\u0120Bright": 17558, "\u0120Sierra": 17559, "\u0120valued": 17560, "cond": 17561, "\u0120pointer": 17562, "Select": 17563, "\u0120risky": 17564, "\u0120absorb": 17565, "images": 17566, "\u0120refuses": 17567, "\u0120bonuses": 17568, "___": 17569, "\u0120hilar": 17570, "\u0120Features": 17571, "220": 17572, "\u0120Collector": 17573, "Foot": 17574, "\u01201964": 17575, "culus": 17576, "\u0120dawn": 17577, "\u0120workout": 17578, "\u0120LO": 17579, "\u0120philosophical": 17580, "\u0120Sandy": 17581, "\u0120Youth": 17582, "\u0120liable": 17583, "Af": 17584, "blue": 17585, "\u0120overturn": 17586, "lessness": 17587, "\u0120Tribune": 17588, "\u0120Ing": 17589, "\u0120factories": 17590, "\u0120catches": 17591, "\u0120prone": 17592, "\u0120matrix": 17593, "\u0120login": 17594, "\u0120inacc": 17595, "\u0120exert": 17596, "sys": 17597, "\u0120needle": 17598, "\u0120Qur": 17599, "\u0120notified": 17600, "oulder": 17601, "tx": 17602, "\u0120reminds": 17603, "\u0120publishers": 17604, "\u0120nort": 17605, "\u0120git": 17606, "\u0120flies": 17607, "\u0120Emily": 17608, "\u0120flowing": 17609, "\u0120Alien": 17610, "\u0120Strateg": 17611, "\u0120hardest": 17612, "\u0120modification": 17613, "API": 17614, "\u0120MY": 17615, "\u0120crashes": 17616, "stairs": 17617, "number": 17618, "\u0120urging": 17619, "channel": 17620, "\u0120Falcon": 17621, "\u0120inhabitants": 17622, "\u0120terrifying": 17623, "\u0120utilize": 17624, "\u0120banner": 17625, "\u0120cigarettes": 17626, "\u0120senses": 17627, "\u0120Holmes": 17628, "\u0120practition": 17629, "\u0120Phillips": 17630, "otto": 17631, "\u0120compile": 17632, "Model": 17633, "\u0120Ko": 17634, "\u0120[]": 17635, "Americans": 17636, "\u0120Terms": 17637, "\u0120medications": 17638, "\u0120Ana": 17639, "\u0120fundamentally": 17640, "\u0120Notice": 17641, "\u0120weaker": 17642, "\u01200000": 17643, "\u0120garlic": 17644, "\u0120outbreak": 17645, "\u0120economist": 17646, "\u0120Birth": 17647, "\u0120obstacles": 17648, "arcer": 17649, "\u0120Orthodox": 17650, "\u0120placebo": 17651, "\u0120Crew": 17652, "aspberry": 17653, "\u0120Angels": 17654, "\u0120discharge": 17655, "\u0120destructive": 17656, "117": 17657, "\u0120Rising": 17658, "\u0120dairy": 17659, "late": 17660, "\u0120collision": 17661, "\u0120Tigers": 17662, "eanor": 17663, "ocumented": 17664, "\u0120Invalid": 17665, "\u0120dont": 17666, "\u0120Liter": 17667, "\u0120Va": 17668, "\u0120hydrogen": 17669, "\u0120variants": 17670, "\u0120Browns": 17671, "\u01201965": 17672, "\u0120indigenous": 17673, "\u0120trades": 17674, "\u0120remainder": 17675, "\u0120swept": 17676, "\u0120Impact": 17677, "\u0120redist": 17678, "\u0120unint": 17679, "graduate": 17680, "\u00e3\u0125\u0137": 17681, "\u0120WILL": 17682, "\u00e3\u0123\u00ae\u00e7": 17683, "\u0120Critical": 17684, "\u0120fisher": 17685, "\u0120vicious": 17686, "\u0120reversed": 17687, "Year": 17688, "\u0120Sox": 17689, "\u0120shootings": 17690, "\u0120filming": 17691, "\u0120touchdowns": 17692, "aires": 17693, "mel": 17694, "\u0120grandfather": 17695, "\u0120affection": 17696, "ingle": 17697, "\u0120overly": 17698, "Additional": 17699, "\u0120supreme": 17700, "\u0120Grad": 17701, "\u0120sporting": 17702, "\u0120mercy": 17703, "\u0120Brooks": 17704, "ounty": 17705, "\u0120performs": 17706, "\u0120tightly": 17707, "\u0120demons": 17708, "\u0120killings": 17709, "\u0120faction": 17710, "\u0120Nova": 17711, "auts": 17712, "\u0120undoubtedly": 17713, "arin": 17714, "\u0120underway": 17715, "rak": 17716, "\u0120liv": 17717, "\u0120Region": 17718, "\u0120briefing": 17719, "sers": 17720, "cloud": 17721, "\u0120Mik": 17722, "usp": 17723, "\u0120prediction": 17724, "azor": 17725, "\u0120portable": 17726, "\u0120Gand": 17727, "\u0120presenting": 17728, "\u01201080": 17729, "\u00c2\u00bb": 17730, "ushi": 17731, "\u0120Spark": 17732, "thereum": 17733, "\u0120justification": 17734, "\u0120Ny": 17735, "\u0120contractors": 17736, "mingham": 17737, "\u0120Style": 17738, "\u00e5\u0127": 17739, "\u0120Chronicles": 17740, "\u0120Picture": 17741, "\u0120proving": 17742, "\u0120wives": 17743, "sett": 17744, "\u0120molecules": 17745, "\u0120Fairy": 17746, "\u0120consisting": 17747, "\u0120pier": 17748, "alone": 17749, "inition": 17750, "\u0120nucle": 17751, "json": 17752, "\u0120gotta": 17753, "\u0120mobil": 17754, "\u0120verbal": 17755, "arium": 17756, "\u0120monument": 17757, "ucked": 17758, "\u0120256": 17759, "Tech": 17760, "minecraft": 17761, "\u0120Track": 17762, "\u0120tile": 17763, "\u0120compatibility": 17764, "asis": 17765, "\u0120sadd": 17766, "\u0120instructed": 17767, "\u0120Mueller": 17768, "\u0120lethal": 17769, "\u0120hormone": 17770, "\u0120orche": 17771, "else": 17772, "\u0120skelet": 17773, "\u0120entertaining": 17774, "\u0120minimize": 17775, "again": 17776, "\u0120undergo": 17777, "\u0120constraints": 17778, "\u0120cigarette": 17779, "\u0120Islamist": 17780, "\u0120travels": 17781, "\u0120Panthers": 17782, "lings": 17783, "Care": 17784, "\u0120lawsuits": 17785, "uras": 17786, "\u0120cryst": 17787, "\u0120lowered": 17788, "\u0120aerial": 17789, "\u0120combinations": 17790, "\u0120haun": 17791, "\u0120cha": 17792, "\u0120vine": 17793, "\u0120quantities": 17794, "\u0120linking": 17795, "bank": 17796, "\u0120soy": 17797, "Bill": 17798, "\u0120Angela": 17799, "\u0120recipient": 17800, "\u0120Protest": 17801, "\u0120socket": 17802, "\u0120solidarity": 17803, "\u0120\u00e2\u0128": 17804, "mill": 17805, "\u0120varies": 17806, "\u0120Pakistani": 17807, "Dragon": 17808, "\u0120une": 17809, "\u0120horizon": 17810, "\u00c2\u0142\u00c2\u0142\u00c2\u0142\u00c2\u0142\u00c2\u0142\u00c2\u0142\u00c2\u0142\u00c2\u0142": 17811, "\u0120provinces": 17812, "\u0120frankly": 17813, "\u0120enacted": 17814, "notes": 17815, "['": 17816, "\u0120192": 17817, "ocracy": 17818, "\u0120endorsement": 17819, "\u0120overtime": 17820, "True": 17821, "Lab": 17822, "licted": 17823, "\u0120DNC": 17824, "\u0120beats": 17825, "\u0120Jamie": 17826, "152": 17827, "\u0120INT": 17828, "Contact": 17829, "\u0120accounted": 17830, "hash": 17831, "\u0120Packers": 17832, "pires": 17833, "\u0120lesbian": 17834, "\u0120amendments": 17835, "\u0120hopeful": 17836, "\u0120Finland": 17837, "\u0120spotlight": 17838, "\u0120configured": 17839, "\u0120troubled": 17840, "\u0120gaze": 17841, "\u0120Calgary": 17842, "\u0120reliability": 17843, "\u0120insurg": 17844, "swer": 17845, "buy": 17846, "\u0120Skin": 17847, "\u0120pixels": 17848, "\u0120handgun": 17849, "\u0120paras": 17850, "\u0120categor": 17851, "\u0120EL": 17852, "\u0120Rex": 17853, "Indeed": 17854, "\u0120kinda": 17855, "\u0120conjunction": 17856, "\u0120Bryan": 17857, "\u0120Manufact": 17858, "yang": 17859, "Plus": 17860, "SQL": 17861, "ishment": 17862, "\u0120dominate": 17863, "\u0120nail": 17864, "\u0120oath": 17865, "\u0120erupt": 17866, "\u0120Fine": 17867, "itbart": 17868, "\u0120Chip": 17869, "\u0120Abd": 17870, "\u0120Nam": 17871, "\u0120buyer": 17872, "\u0120dissent": 17873, "Leaks": 17874, "Contin": 17875, "\u0120rider": 17876, "\u0120Someone": 17877, "\u0120illusion": 17878, "cin": 17879, "\u0120Boeing": 17880, "\u0120inadequ": 17881, "ovation": 17882, "iants": 17883, "\u0120rebuild": 17884, "450": 17885, "\u0120Destiny": 17886, "SW": 17887, "\u0120Till": 17888, "Hit": 17889, "iaz": 17890, "\u0120Bangl": 17891, "achers": 17892, "\u0120Reform": 17893, "\u0120segments": 17894, "\u0120systematic": 17895, "dc": 17896, "\u0120Conservatives": 17897, "\u0120portal": 17898, "hor": 17899, "\u0120Dragonbound": 17900, "\u0120dragged": 17901, "omo": 17902, "\u0120thee": 17903, "advert": 17904, "\u0120Reports": 17905, "\u0120Et": 17906, "\u0120barrels": 17907, "August": 17908, "\u0120comparisons": 17909, "\u0120hex": 17910, "\u0120anthrop": 17911, "\"[": 17912, "borough": 17913, "abi": 17914, "\u0120pictured": 17915, "playing": 17916, "\u0120Address": 17917, "\u0120Mirror": 17918, "Smith": 17919, "\u0120tires": 17920, "\u0120NPR": 17921, "AAAA": 17922, "\u0120classification": 17923, "\u0120Than": 17924, "\u0120Harm": 17925, "\u0120RA": 17926, "\u0120rejection": 17927, "mination": 17928, "\u0120ranged": 17929, "\u0120Falls": 17930, "DI": 17931, "Host": 17932, "\u00e3\u0124\u00b4": 17933, "\u0120Example": 17934, "listed": 17935, "thirds": 17936, "\u0120safegu": 17937, "brand": 17938, "\u0120probable": 17939, "Canada": 17940, "ITION": 17941, "\u0120Qaeda": 17942, "\u0120chick": 17943, "\u0120imports": 17944, "hit": 17945, "loc": 17946, "WW": 17947, "\u0120blew": 17948, "\u0120anytime": 17949, "\u0120wholes": 17950, "iked": 17951, "\u0120calculation": 17952, "create": 17953, "\u0120Ori": 17954, "\u0120upgraded": 17955, "\u0120appar": 17956, "utory": 17957, "\u0120Mol": 17958, "Brit": 17959, "\u0120Jong": 17960, "INAL": 17961, "\u0120Starting": 17962, "\u0120dice": 17963, "urtle": 17964, "\u0120relying": 17965, "closure": 17966, "\u0120profitable": 17967, "\u0120slaughter": 17968, "\u0120Manual": 17969, "caster": 17970, "\u0120\"$": 17971, "\u0120feather": 17972, "\u0120Simply": 17973, "ieves": 17974, "\u0120deterior": 17975, "\u0120PCI": 17976, "\u0120stamp": 17977, "\u0120flaws": 17978, "\u0120shade": 17979, "hammer": 17980, "\u0120passport": 17981, "\u0120conting": 17982, "amel": 17983, "\u0120observers": 17984, "\u0120neglect": 17985, "\u0120RB": 17986, "\u0120Brotherhood": 17987, "\u0120skeptical": 17988, "family": 17989, "usk": 17990, "\u0120emotionally": 17991, "\u00e2\u013b": 17992, "\u0120Beta": 17993, "asonable": 17994, "idity": 17995, "\u0120Mul": 17996, "\u0120kicking": 17997, "\u0120Carm": 17998, "ollah": 17999, "VERTIS": 18000, "\u0120Athen": 18001, "\u0120ladder": 18002, "\u0120Bullet": 18003, "\u00e5\u00a3": 18004, "0001": 18005, "\u0120Wildlife": 18006, "\u0120Mask": 18007, "\u0120Nan": 18008, "Rev": 18009, "\u0120unacceptable": 18010, "legal": 18011, "\u0120crowded": 18012, "agi": 18013, "\u0120Cox": 18014, "je": 18015, "\u0120morality": 18016, "\u0120fuels": 18017, "\u0120cables": 18018, "\u0120mankind": 18019, "\u0120Caribbean": 18020, "\u0120anchor": 18021, "\u0120byte": 18022, "\u0120Often": 18023, "\u0120Oz": 18024, "\u0120crafted": 18025, "\u0120historian": 18026, "\u0120Wu": 18027, "\u0120towers": 18028, "\u0120Citizens": 18029, "\u0120helm": 18030, "\u0120credentials": 18031, "\u0120singular": 18032, "\u0120Jesse": 18033, "\u0120tackles": 18034, "\u0120contempt": 18035, "\u0120afore": 18036, "\u0120Shadows": 18037, "\u0120nil": 18038, "\u0120urgent": 18039, "apple": 18040, "blood": 18041, "\u0120von": 18042, "\u0120offline": 18043, "\u0120breathe": 18044, "\u0120jumps": 18045, "\u0120irrelevant": 18046, "oxic": 18047, "omal": 18048, "important": 18049, "Jim": 18050, "\u0120gloves": 18051, "arming": 18052, "depth": 18053, "\u0120talents": 18054, "ookie": 18055, "\u0120SB": 18056, "\u0120palm": 18057, "uffs": 18058, "esta": 18059, "IGH": 18060, "\u0120canon": 18061, "\u0120Verizon": 18062, "\u0120Ple": 18063, "\u0120coupled": 18064, "velt": 18065, "\u0120fundraising": 18066, "\u0120Getting": 18067, "\u0120DLC": 18068, "\u0120mathematical": 18069, "\u0120HS": 18070, "\u0120Cardinals": 18071, "telling": 18072, "\u0120sponsors": 18073, "\u0120\u00cf": 18074, "\u0120Bulls": 18075, "option": 18076, "\u0120propose": 18077, "\u0120memorable": 18078, "\u0120embraced": 18079, "\u0120declining": 18080, "Health": 18081, "eda": 18082, "\u0120};": 18083, "\u0120spam": 18084, "mile": 18085, "\u0120pitcher": 18086, "\u0120Eight": 18087, "\u0120caring": 18088, "utic": 18089, "role": 18090, "\u0120airline": 18091, "ernandez": 18092, "\u0120Athlet": 18093, "\u0120certification": 18094, "uxe": 18095, "riger": 18096, "\u0120empir": 18097, "\u0120sensation": 18098, "\u0120dism": 18099, "\u0120bolt": 18100, "\u0120evolve": 18101, "House": 18102, "\u0120consultation": 18103, "\u0120Duty": 18104, "\u0120touches": 18105, "\u0120Nathan": 18106, "\u0120faint": 18107, "had": 18108, "\"(": 18109, "\u0120Consumer": 18110, "\u0120Extreme": 18111, "\u0120127": 18112, "\u0120Herm": 18113, "\u0120Sacrament": 18114, "izoph": 18115, "\u0120anxious": 18116, "ulously": 18117, "\u0120socially": 18118, "\u0120UTC": 18119, "\u0120solving": 18120, "\u0120Letter": 18121, "History": 18122, "educ": 18123, "Price": 18124, "));": 18125, "\u0120reload": 18126, "amic": 18127, "\u0120pork": 18128, "\u0120discourse": 18129, "\u0120tournaments": 18130, "airo": 18131, "\u0120Kur": 18132, "\u0120Costa": 18133, "\u0120violating": 18134, "\u0120interfere": 18135, "\u0120recreational": 18136, "uffle": 18137, "\u0120speeches": 18138, "\u0120needing": 18139, "\u0120remembers": 18140, "\u0120credited": 18141, "nia": 18142, "focused": 18143, "amera": 18144, "\u0120bru": 18145, "umbs": 18146, "\u0120Cuban": 18147, "\u0120preceding": 18148, "\u0120nonsense": 18149, "acial": 18150, "\u0120smartphones": 18151, "\u0120Stories": 18152, "Sports": 18153, "\u0120Emergency": 18154, "ouncing": 18155, "efined": 18156, "\u0120ber": 18157, "\u0120consulting": 18158, "\u0120masters": 18159, "heastern": 18160, ".\"[": 18161, "\u0120Running": 18162, "\u0120suscept": 18163, "\u0120Feng": 18164, "America": 18165, "prises": 18166, "stitial": 18167, "\u0120Weekly": 18168, "\u0120Greater": 18169, "modules": 18170, "ifter": 18171, "Graphics": 18172, "uler": 18173, "\u0120wholly": 18174, "\u0120suppress": 18175, "\u0120concealed": 18176, "\u0120happily": 18177, "\u0120accepts": 18178, "\u0120Enjoy": 18179, "\u0120rivers": 18180, "\u0120Except": 18181, "225": 18182, "\u0120NHS": 18183, "\u0120McConnell": 18184, "\u0120pussy": 18185, "ferred": 18186, "utable": 18187, "\u0120attain": 18188, "\u0120>=": 18189, "\u0120deposits": 18190, "rophic": 18191, "\u0120notorious": 18192, "\u0120Shaw": 18193, "ilitation": 18194, "\u0120epidemic": 18195, "allic": 18196, "\u0120smallest": 18197, "ovich": 18198, "\u0120accessories": 18199, "perties": 18200, "\u0120surplus": 18201, "\u0120Mech": 18202, "\u0120ambig": 18203, "\u0120Immigration": 18204, "\u0120chim": 18205, "eval": 18206, "\u0120practicing": 18207, "\u0120Mystery": 18208, "\u0120domains": 18209, "\u0120Silicon": 18210, "apps": 18211, "\u0120kilometers": 18212, "ea": 18213, "\u0120Smash": 18214, "\u0120warranty": 18215, "\u0120nost": 18216, "sil": 18217, "rev": 18218, "Jon": 18219, "\u0120Dublin": 18220, "\u0120tastes": 18221, "\u0120bout": 18222, "great": 18223, "error": 18224, "\u0120switches": 18225, "\u0120Bapt": 18226, "DO": 18227, "oki": 18228, "\u0120sourced": 18229, "produ": 18230, "\u0120attachment": 18231, "\u0120Issue": 18232, "\u0120Question": 18233, "Join": 18234, "\u0120fitted": 18235, "\u0120unlawful": 18236, "^^": 18237, "erek": 18238, "\u0120authentication": 18239, "\u0120stole": 18240, "\u0120accountability": 18241, "label": 18242, "Search": 18243, "\u0120albeit": 18244, "atican": 18245, "funded": 18246, "\u0120Adding": 18247, "\u0120IQ": 18248, "\u0120submar": 18249, "lit": 18250, "aque": 18251, "\u0120Learning": 18252, "\u0120integer": 18253, "Master": 18254, "\u0120Chrom": 18255, "\u0120premier": 18256, "Op": 18257, "\u0120Liu": 18258, "\u0120blessed": 18259, "\u0120Globe": 18260, "\u0120Response": 18261, "\u0120legitim": 18262, "\u0120Merkel": 18263, "\u0120disposal": 18264, "\u00c2\u00b4": 18265, "\u0120gauge": 18266, "peat": 18267, "\u0120induced": 18268, "\u0120questionable": 18269, "arthy": 18270, "\u0120Vit": 18271, "\u0120Feed": 18272, "Until": 18273, "Ut": 18274, "worthy": 18275, "RY": 18276, "\u0120Herald": 18277, "\u0120Hammer": 18278, "\u0120medal": 18279, "\u0120Rivers": 18280, "\u0120Hack": 18281, "\u0120clarify": 18282, "\u0120tracked": 18283, "\u0120autonomous": 18284, "\u0120tenant": 18285, "\u0120Qatar": 18286, "erie": 18287, "\u0120grim": 18288, "\u0120Monitor": 18289, "\u0120resistant": 18290, "\u0120Spec": 18291, "\u0120Wells": 18292, "NAS": 18293, "148": 18294, "\u0120miners": 18295, "iotics": 18296, "\u0120misses": 18297, "116": 18298, "gian": 18299, "git": 18300, "\u0120Eyes": 18301, "pres": 18302, "\u0120graduated": 18303, "\u0120angel": 18304, "\u0120synchron": 18305, "\u0120efficiently": 18306, "\u0120transmitted": 18307, "Harry": 18308, "\u0120globally": 18309, "ENCE": 18310, "\u0120Montana": 18311, "raged": 18312, "\u0120Prevention": 18313, "\u0120piss": 18314, "\u0120Ll": 18315, "\u0120shelf": 18316, "\u0120BJP": 18317, "\u0120Testament": 18318, "\u0120Late": 18319, "iker": 18320, "\u0120Happ": 18321, "\u0120Julian": 18322, "hall": 18323, "\u0120spont": 18324, "\u0120shutdown": 18325, "\u0120inconsistent": 18326, "\u0120subscribers": 18327, "\u0120skeleton": 18328, "\u0120Nebraska": 18329, "\u0120inspire": 18330, "\u0120Void": 18331, "Feed": 18332, "\u0120angles": 18333, "\u0120Springs": 18334, "\u0120benchmark": 18335, "\u0120vaccines": 18336, "izophren": 18337, "sexual": 18338, "uffed": 18339, "\u0120shine": 18340, "\u0120Kath": 18341, "\u0120gesture": 18342, "inea": 18343, "\u0120rip": 18344, "\u0120oppression": 18345, "\u0120conscience": 18346, "bt": 18347, "\u0120Lum": 18348, "\u0120incidence": 18349, "\u0120Fa": 18350, "wr": 18351, "\u0120mineral": 18352, "\u0120Spurs": 18353, "alky": 18354, "\u0120thunder": 18355, "\u0120opio": 18356, "Being": 18357, "\u0120Palm": 18358, "\u0120wasted": 18359, "\u0120lb": 18360, "iaries": 18361, "\u0120Initiative": 18362, "\u0120curric": 18363, "\u0120marker": 18364, "\u0120McL": 18365, "\u0120extensions": 18366, "\u0120Pv": 18367, "\u0120Arms": 18368, "\u0120offerings": 18369, "\u0120defenses": 18370, "\u0120vendor": 18371, "\u0120contradict": 18372, "\u0120Colin": 18373, "\u0120reddit": 18374, "\u0120peripher": 18375, "122": 18376, "\u0120sins": 18377, "Edit": 18378, "ICT": 18379, "Soft": 18380, "\u0120Shah": 18381, "\u0120administrator": 18382, "\u0120Trip": 18383, "\u0120pornography": 18384, "\u0120tuition": 18385, "inence": 18386, "\u0120Progress": 18387, "\u0120catalog": 18388, "\u0120suite": 18389, "\u0120hike": 18390, "\u0120reproductive": 18391, "engine": 18392, "\u0120drought": 18393, "\u0120Noah": 18394, "\u0120230": 18395, "\u0120dude": 18396, "\u0120relaxed": 18397, "\u0120partition": 18398, "\u0120participant": 18399, "\u0120telesc": 18400, "\u0120feas": 18401, "\u0120FF": 18402, "owner": 18403, "\u0120sweeping": 18404, "\u0120lenses": 18405, "\u0120matchup": 18406, "\u0120Repl": 18407, "ournals": 18408, "\u0120credible": 18409, "\u0120grandmother": 18410, "\u0120thermal": 18411, "\u0120subscribing": 18412, "\u0120identities": 18413, "colm": 18414, "UCT": 18415, "\u0120reluctant": 18416, "users": 18417, "\u0120Cort": 18418, "\u0120assisted": 18419, "OSS": 18420, "ATIONS": 18421, "ISH": 18422, "\u0120pharmaceutical": 18423, "icable": 18424, "adian": 18425, "\u0120Sonic": 18426, "\u0120Fury": 18427, "\u0120Mong": 18428, "AH": 18429, "\u0120Psychology": 18430, "\u0120phosph": 18431, "\u0120treats": 18432, "\u0143\u0136": 18433, "\u0120steadily": 18434, "\u0120Hello": 18435, "\u0120relates": 18436, "\u0120clue": 18437, "Expl": 18438, "auth": 18439, "\u0120revision": 18440, "\u0120eld": 18441, "osion": 18442, "\u0120bron": 18443, "144": 18444, "rikes": 18445, "\u0120mines": 18446, "\u0120blanket": 18447, "\u0120Fail": 18448, "eled": 18449, "\u0120Imagine": 18450, "\u0120Planned": 18451, "aic": 18452, "Request": 18453, "Mad": 18454, "\u0120Horse": 18455, "\u0120Eagle": 18456, "\u0120capac": 18457, "157": 18458, "\u0120ling": 18459, "\u0120Nice": 18460, "\u0120Parenthood": 18461, "minster": 18462, "ogs": 18463, "ensitive": 18464, "Nothing": 18465, "\u0120carn": 18466, "Fin": 18467, "\u0120PE": 18468, "\u0120rifles": 18469, "\u0120LP": 18470, "Sand": 18471, "\u0120guiActive": 18472, "\u0120tourist": 18473, "CNN": 18474, "\u0120unveiled": 18475, "\u0120predecessor": 18476, "}{": 18477, "uber": 18478, "\u0120offshore": 18479, "\u0120optical": 18480, "\u0120Rot": 18481, "\u0120Pearl": 18482, "eton": 18483, "\u0120stared": 18484, "\u0120farther": 18485, "atility": 18486, "contin": 18487, "\u0120Gy": 18488, "\u0120Foster": 18489, "\u0120Coc": 18490, "rients": 18491, "\u0120designing": 18492, "\u0120Economy": 18493, "ONG": 18494, "Women": 18495, "\u0120Nancy": 18496, "erver": 18497, "\u0120mascul": 18498, "\u0120casualties": 18499, "\u0120225": 18500, "\u0120Sullivan": 18501, "\u0120Choice": 18502, "\u0120aster": 18503, "ws": 18504, "\u0120hotels": 18505, "\u0120considerations": 18506, "\u0120couch": 18507, "\u0120Strip": 18508, "\u0120Gn": 18509, "\u0120manipulate": 18510, "lied": 18511, "\u0120synthetic": 18512, "\u0120assaulted": 18513, "\u0120offenses": 18514, "\u0120Drake": 18515, "\u0120impe": 18516, "October": 18517, "\u0120Heritage": 18518, "hl": 18519, "\u0120Blair": 18520, "Unlike": 18521, "\u0120grief": 18522, "\u0120450": 18523, "\u0120opted": 18524, "\u0120resignation": 18525, "ilo": 18526, "\u0120verse": 18527, "\u0120Tomb": 18528, "\u0120upt": 18529, "\u0120aired": 18530, "\u0120Hook": 18531, "\u0120MLB": 18532, "\u0120assumes": 18533, "outed": 18534, "\u0120Vers": 18535, "\u0120inferior": 18536, "\u0120bundle": 18537, "\u0120DNS": 18538, "ographer": 18539, "\u0120multip": 18540, "\u0120Souls": 18541, "\u0120illustrated": 18542, "\u0120tactic": 18543, "\u0120dressing": 18544, "\u0120duo": 18545, "Conf": 18546, "\u0120relent": 18547, "\u0120cant": 18548, "\u0120scarce": 18549, "\u0120candy": 18550, "\u0120CF": 18551, "\u0120affiliated": 18552, "\u0120sprint": 18553, "ylan": 18554, "\u0120Garcia": 18555, "\u0120junk": 18556, "Print": 18557, "exec": 18558, "Crit": 18559, "\u0120portrait": 18560, "iries": 18561, "\u0120OFF": 18562, "\u0120disputes": 18563, "WR": 18564, "Love": 18565, "\u00e3\u0123\u0126": 18566, "\u0120Reyn": 18567, "\u0120hipp": 18568, "opath": 18569, "\u0120floors": 18570, "\u0120Feel": 18571, "\u0120worries": 18572, "\u0120settlements": 18573, "\u0120Pos": 18574, "\u0120mosque": 18575, "\u0120finals": 18576, "\u0120crushed": 18577, "\u0120Probably": 18578, "\u0120Bot": 18579, "\u0120Mans": 18580, "\u0120Period": 18581, "\u0120sovereignty": 18582, "\u0120seller": 18583, "\u0120apost": 18584, "\u0120amateur": 18585, "\u0120dorm": 18586, "\u0120consuming": 18587, "\u0120armour": 18588, "\u0120Roose": 18589, "\u0120intensive": 18590, "\u0120eliminating": 18591, "\u0120Sunni": 18592, "\u0120Aleppo": 18593, "jin": 18594, "\u0120advise": 18595, "pal": 18596, "\u0120Halo": 18597, "\u0120descent": 18598, "\u0120simpler": 18599, "\u0120booth": 18600, "STR": 18601, "Later": 18602, "\u0120Cave": 18603, "===": 18604, "\u0120mol": 18605, "\u0120fist": 18606, "\u0120shotgun": 18607, "supp": 18608, "\u0120robbery": 18609, "Effect": 18610, "\u0120obscure": 18611, "\u0120Professional": 18612, "\u0120embassy": 18613, "\u0120militant": 18614, "\u0120incarcer": 18615, "\u0120generates": 18616, "\u0120launches": 18617, "\u0120administrators": 18618, "\u0120shaft": 18619, "\u0120circular": 18620, "\u0120freshman": 18621, "\u0120Wes": 18622, "\u0120Joel": 18623, "\u0120Drew": 18624, "\u0120Duncan": 18625, "\u0120Apparently": 18626, "sight": 18627, "\u0120Internal": 18628, "\u0120Individual": 18629, "\u0120FE": 18630, "\u0120bore": 18631, "\u0120Mt": 18632, "\u0120broadly": 18633, "\u0120Options": 18634, "ountain": 18635, "ipes": 18636, "\u0120Videos": 18637, "204": 18638, "\u0120hills": 18639, "\u0120simulation": 18640, "\u0120disappointment": 18641, "itan": 18642, "\u0120Laboratory": 18643, "\u0120upward": 18644, "\u0120boundary": 18645, "\u0120darker": 18646, "hart": 18647, "\u0120dominance": 18648, "Cong": 18649, "\u0120Oracle": 18650, "\u0120Lords": 18651, "\u0120scholarship": 18652, "\u0120Vincent": 18653, "ede": 18654, "\u0120Rah": 18655, "\u0120encourages": 18656, "rov": 18657, "\u0120quo": 18658, "\u0120premise": 18659, "\u0120Crisis": 18660, "\u0120Holocaust": 18661, "\u0120rhythm": 18662, "\u0120metric": 18663, "club": 18664, "\u0120transported": 18665, "\u0120nod": 18666, "\u0120Pist": 18667, "\u0120ancestors": 18668, "\u0120Freder": 18669, "thumbnails": 18670, "\u0120CE": 18671, "OND": 18672, "Phil": 18673, "venge": 18674, "\u0120Products": 18675, "castle": 18676, "\u0120qualifying": 18677, "\u0120Karen": 18678, "VERTISEMENT": 18679, "\u0120mighty": 18680, "\u0120explanations": 18681, "\u0120fixing": 18682, "Di": 18683, "\u0120declaring": 18684, "\u0120anonymity": 18685, "\u0120juven": 18686, "\u0120Nord": 18687, "\u0120Doom": 18688, "\u0120Actually": 18689, "Ok": 18690, "phis": 18691, "\u0120Desert": 18692, "\u0120116": 18693, "IK": 18694, "\u0120FM": 18695, "\u0120incomes": 18696, "VEL": 18697, "okers": 18698, "\u0120pecul": 18699, "\u0120lightweight": 18700, "gue": 18701, "\u0120accent": 18702, "\u0120increment": 18703, "\u0120Chan": 18704, "\u0120complaining": 18705, "\u0120Baghd": 18706, "\u0120midfielder": 18707, "\u0120overhaul": 18708, "Process": 18709, "\u0120Hollow": 18710, "\u0120Titans": 18711, "Small": 18712, "manuel": 18713, "\u0120Unity": 18714, "\u0120Events": 18715, "Sty": 18716, "\u0120disproportion": 18717, "nesty": 18718, "enes": 18719, "\u0120Cod": 18720, "\u0120demonstrations": 18721, "\u0120Crimson": 18722, "\u0120OH": 18723, "\u0120enrolled": 18724, "\u0120cel": 18725, "\u0120Brett": 18726, "\u0120aide": 18727, "\u0120heels": 18728, "\u0120broadband": 18729, "\u0120marking": 18730, "\u0120wizard": 18731, "\u0120NJ": 18732, "\u0120Chiefs": 18733, "\u0120ingredient": 18734, "\u0120dug": 18735, "\u0120Shut": 18736, "urchase": 18737, "endor": 18738, "\u0120farmer": 18739, "\u0120Goldman": 18740, "129": 18741, "155": 18742, "Order": 18743, "\u0120lion": 18744, "iably": 18745, "\u0120stain": 18746, "array": 18747, "ilitary": 18748, "\u0120FAQ": 18749, "\u0120exploded": 18750, "\u0120McCarthy": 18751, "\u0120Tweet": 18752, "\u0120Greens": 18753, "eking": 18754, "ln": 18755, "ensen": 18756, "\u0120motorcycle": 18757, "\u0120particle": 18758, "\u0120cholesterol": 18759, "Bron": 18760, "\u0120stair": 18761, "\u0120oxid": 18762, "\u0120desirable": 18763, "ibles": 18764, "\u0120theor": 18765, "forcing": 18766, "\u0120promotional": 18767, "ovo": 18768, "boot": 18769, "\u0120Bonus": 18770, "rawling": 18771, "\u0120shortage": 18772, "\u0120Psy": 18773, "\u0120recruited": 18774, "\u0120infants": 18775, "\u0120testosterone": 18776, "\u0120deduct": 18777, "\u0120distinctive": 18778, "\u0120firmware": 18779, "built": 18780, "145": 18781, "\u0120explored": 18782, "\u0120factions": 18783, "\u0120vide": 18784, "\u0120tattoo": 18785, "\u0120financially": 18786, "\u0120fatigue": 18787, "\u0120proceeding": 18788, "constitutional": 18789, "\u0120miser": 18790, "\u0120chairs": 18791, "gging": 18792, "ipple": 18793, "\u0120dent": 18794, "\u0120disreg": 18795, "\u00e7\u0136": 18796, "stant": 18797, "llo": 18798, "bps": 18799, "akening": 18800, "\u0120abnormal": 18801, "\u0120ERA": 18802, "\u00e5\u00a3\u00ab": 18803, "\u0120HBO": 18804, "\u0120MAR": 18805, "\u0120concess": 18806, "\u0120servant": 18807, "\u0120aspir": 18808, "lav": 18809, "\u0120Panel": 18810, "amo": 18811, "\u0120precip": 18812, "\u0120recordings": 18813, "\u0120proceeded": 18814, "\u0120colony": 18815, "\u0120Tang": 18816, "ablo": 18817, "\u0120stripped": 18818, "Left": 18819, "too": 18820, "\u0120potatoes": 18821, "\u0120finest": 18822, "%).": 18823, "\u0120crap": 18824, "\u0120Zach": 18825, "abases": 18826, "\u0120Goth": 18827, "\u0120billionaire": 18828, "wolf": 18829, "\u0120sanction": 18830, "SK": 18831, "\u0120logged": 18832, "Po": 18833, "eyed": 18834, "unal": 18835, "\u0120cricket": 18836, "\u0120armies": 18837, "\u0120uncovered": 18838, "Cloud": 18839, "\u00c3\u00b3n": 18840, "\u0120rebounds": 18841, "\u0120mes": 18842, "Oper": 18843, "Pac": 18844, "\u0120nationally": 18845, "\u0120inserted": 18846, "pict": 18847, "\u0120governance": 18848, "\u00d0\u00b8": 18849, "\u0120privileges": 18850, "GET": 18851, "\u0120favorites": 18852, "imity": 18853, "\u0120lover": 18854, "them": 18855, "empl": 18856, "\u0120gorgeous": 18857, "Ann": 18858, "\u0120slipped": 18859, "\u0120veto": 18860, "Bob": 18861, "\u0120slim": 18862, "ucc": 18863, "\u0120Fame": 18864, "uddenly": 18865, "\u0120denies": 18866, "\u0120Maur": 18867, "\u0120distances": 18868, "\u0120wanna": 18869, "tar": 18870, "\u0120SER": 18871, "\u0120\u00e2\u012a": 18872, "\u0120lemon": 18873, "athetic": 18874, "\u0120literal": 18875, "\u0120distinguished": 18876, "\u0120answering": 18877, "GI": 18878, "\u0120religions": 18879, "\u0120Philos": 18880, "\u0120Lay": 18881, "\u0120compos": 18882, "irements": 18883, "\u0120Kos": 18884, "inez": 18885, "rolling": 18886, "\u0120youngest": 18887, "andise": 18888, "\u0120Born": 18889, "\u0120altar": 18890, "amina": 18891, "\u0120Boot": 18892, "voc": 18893, "\u0120digging": 18894, "\u0120pressures": 18895, "\u0120len": 18896, "264": 18897, "\u0120assassination": 18898, "\u0120Birmingham": 18899, "\u0120Myth": 18900, "\u0120sovereign": 18901, "\u0120Artist": 18902, "\u0120Photograph": 18903, "\u0120depicted": 18904, "\u0120dispens": 18905, "orthy": 18906, "\u0120ambul": 18907, "integ": 18908, "\u0120Cele": 18909, "\u0120Tibet": 18910, "\u0120hierarchy": 18911, "\u0120cu": 18912, "\u0120preseason": 18913, "\u0120Peterson": 18914, "\u0120colours": 18915, "\u0120worrying": 18916, "\u0120backers": 18917, "\u0120Palmer": 18918, "\u0120\u00ce\u00bc": 18919, "\u0120contributor": 18920, "\u0120hearings": 18921, "\u0120urine": 18922, "\u0120\u00d9": 18923, "ourgeois": 18924, "Similar": 18925, "\u0120Zimmer": 18926, "something": 18927, "\u0120USC": 18928, "\u0120strengths": 18929, "\u0120FI": 18930, "\u0120logging": 18931, "Asked": 18932, "\u0120Thai": 18933, "inqu": 18934, "\u0120Walt": 18935, "\u0120crews": 18936, "itism": 18937, "301": 18938, "\u0120sharply": 18939, "umed": 18940, "\u0120redirect": 18941, "rators": 18942, "Inf": 18943, "\u0120Weapons": 18944, "\u0120teasp": 18945, "1999": 18946, "Live": 18947, "\u0120Especially": 18948, "\u0120Ster": 18949, "\u0120Veterans": 18950, "\u0120intro": 18951, "otherapy": 18952, "\u0120malware": 18953, "\u0120breeding": 18954, "\u0120molecular": 18955, "\u0120Route": 18956, "\u0120Comment": 18957, "ochem": 18958, "\u0120ain": 18959, "Season": 18960, "\u0120linebacker": 18961, "\u00c4\u00ab": 18962, "\u0120Economics": 18963, "esar": 18964, "\u0120Lives": 18965, "\u0120Emma": 18966, "\u0120kin": 18967, "\u0120Territ": 18968, "\u0120planted": 18969, "oton": 18970, "\u0120Butter": 18971, "\u0120Spons": 18972, "PER": 18973, "\u0120dungeon": 18974, "\u0120symbolic": 18975, "\u0120filmed": 18976, "\u0120diets": 18977, "\u0120concludes": 18978, "\u0120certainty": 18979, "\u0120Format": 18980, "\u0120strangers": 18981, "format": 18982, "\u0120Phase": 18983, "\u0120copied": 18984, "\u0120metres": 18985, "lda": 18986, "\u0120Users": 18987, "\u0120deliberate": 18988, "\u0120washed": 18989, "\u0120Lance": 18990, "imation": 18991, "\u0120improper": 18992, "\u0120Genesis": 18993, "ickr": 18994, "\u0120Kush": 18995, "\u0120realise": 18996, "\u0120embarrassing": 18997, "alking": 18998, "bucks": 18999, "\u0120verified": 19000, "\u0120outline": 19001, "years": 19002, "\u0120Income": 19003, "202": 19004, "\u0120zombies": 19005, "Final": 19006, "\u0120Millenn": 19007, "\u0120modifications": 19008, "\u0120Vision": 19009, "\u0120Moses": 19010, "verb": 19011, "iterranean": 19012, "\u0120Jet": 19013, "\u0120naval": 19014, "\u0120Agg": 19015, "\u0120url": 19016, "\u0120victories": 19017, "\u0120nonetheless": 19018, "\u0120injust": 19019, "\u0120Fact": 19020, "\u00e7\u013c": 19021, "\u0120insufficient": 19022, "review": 19023, "facebook": 19024, "\u0120negotiating": 19025, "\u0120guarantees": 19026, "imen": 19027, "utenberg": 19028, "\u0120gambling": 19029, "\u0120congr": 19030, "Loading": 19031, "\u0120nevertheless": 19032, "\u0120presidents": 19033, "\u0120Industrial": 19034, "\u0120118": 19035, "\u0120poured": 19036, "\u0120Tory": 19037, "\u0120175": 19038, "\u0120:=": 19039, "Scott": 19040, "angered": 19041, "Tok": 19042, "\u0120organizers": 19043, "Mat": 19044, "\u0120Growth": 19045, "\u0120adul": 19046, "\u0120ensures": 19047, "\u0120117": 19048, "\u00e9\u00be\u012f\u00e5": 19049, "\u0120massacre": 19050, "\u0120grades": 19051, "before": 19052, "ADVERTISEMENT": 19053, "\u0120Slow": 19054, "\u0120MMA": 19055, "\u00e2\u0122\u0136\"": 19056, "\u0120Vatican": 19057, "Qaeda": 19058, "\u0120owe": 19059, "6666": 19060, "\u0120Sorry": 19061, "\u0120Grass": 19062, "\u0120backgrounds": 19063, "\u0120exhausted": 19064, "\u0120clan": 19065, "\u0120compromised": 19066, "\u0120Elf": 19067, "\u0120Isaac": 19068, "enson": 19069, "Invest": 19070, "IFA": 19071, "\u0120interrupted": 19072, "\u00e3\u0125\u012b\u00e3\u0125\u00a9": 19073, "\u0120twisted": 19074, "\u0120Dragons": 19075, "Mode": 19076, "\u0120Kremlin": 19077, "\u0120fertil": 19078, "heres": 19079, "phan": 19080, "\u0120Node": 19081, "fed": 19082, "\u0120Orc": 19083, "\u0120unwilling": 19084, "Cent": 19085, "\u0120priorit": 19086, "\u0120graduates": 19087, "\u0120subjective": 19088, "\u0120issuing": 19089, "\u0120Lt": 19090, "\u0120viewer": 19091, "\u0120woke": 19092, "Thus": 19093, "brook": 19094, "\u0120depressed": 19095, "\u0120bracket": 19096, "\u0120Gor": 19097, "\u0120Fighting": 19098, "\u0120striker": 19099, "Report": 19100, "\u0120Portugal": 19101, "\u0120neo": 19102, "wed": 19103, "199": 19104, "\u0120fleeing": 19105, "shadow": 19106, "identified": 19107, "USE": 19108, "Steam": 19109, "\u0120stretched": 19110, "\u0120revelations": 19111, "arted": 19112, "\u0120Dw": 19113, "\u0120alignment": 19114, "eston": 19115, "\u0120Jared": 19116, "Sep": 19117, "\u0120blogs": 19118, "update": 19119, "gom": 19120, "risk": 19121, "\u0120clash": 19122, "\u0120Hour": 19123, "\u0120runtime": 19124, "\u0120unwanted": 19125, "\u0120scam": 19126, "\u0120rack": 19127, "\u0120enlight": 19128, "onest": 19129, "\u0120Ferr": 19130, "\u0120convictions": 19131, "\u0120piano": 19132, "\u0120circulation": 19133, "\u0120Welcome": 19134, "\u0120backlash": 19135, "\u0120Wade": 19136, "\u0120receivers": 19137, "otive": 19138, "Jeff": 19139, "\u0120networking": 19140, "\u0120Prep": 19141, "\u0120Explorer": 19142, "\u0120lecture": 19143, "\u0120uploaded": 19144, "\u0120Meat": 19145, "BLE": 19146, "\u0120Nazis": 19147, "\u0120Synd": 19148, "stud": 19149, "roots": 19150, "rians": 19151, "\u0120portrayed": 19152, "\u0120??": 19153, "\u0120Buddha": 19154, "sun": 19155, "Robert": 19156, "\u0120Complex": 19157, "\u0120oversee": 19158, "\u0120stealth": 19159, "Title": 19160, "\u0120Jobs": 19161, "\u0120Kum": 19162, "\u0120appreciation": 19163, "\u0120MOD": 19164, "\u0120basics": 19165, "\u0120clips": 19166, "\u0120nursing": 19167, "\u0120proposition": 19168, "\u0120realised": 19169, "\u0120NYC": 19170, "\u0120allocated": 19171, "rium": 19172, "aran": 19173, "\u0120Production": 19174, "\u0120Vote": 19175, "\u0120smugg": 19176, "\u0120hunter": 19177, "azer": 19178, "\u0120Changes": 19179, "\u0120fluct": 19180, "yon": 19181, "Array": 19182, "\u0120kits": 19183, "Water": 19184, "\u0120uncommon": 19185, "\u0120resting": 19186, "ells": 19187, "would": 19188, "\u0120pursued": 19189, "\u0120assertion": 19190, "ometown": 19191, "\u0120Mosul": 19192, "\u0120Platform": 19193, "iolet": 19194, "\u0120shareholders": 19195, "\u0120trails": 19196, "Pay": 19197, "\u0120Enforcement": 19198, "types": 19199, "\u0120Anonymous": 19200, "\u0120satisfying": 19201, "ilogy": 19202, "\u0120('": 19203, "wave": 19204, "city": 19205, "Steve": 19206, "\u0120confrontation": 19207, "\u0120Eld": 19208, "Capt": 19209, "ahan": 19210, "htm": 19211, "\u0120Ctrl": 19212, "ONS": 19213, "230": 19214, "ifa": 19215, "holding": 19216, "\u0120delicate": 19217, "\u0120jaw": 19218, "\u0120Going": 19219, "orum": 19220, "Sal": 19221, "\u0120dull": 19222, "\u0120Beth": 19223, "\u0120prisons": 19224, "\u0120ego": 19225, "\u0120Elsa": 19226, "avorite": 19227, "\u0120Gang": 19228, "\u0120Nuclear": 19229, "\u0120spider": 19230, "atsu": 19231, "\u0120sampling": 19232, "\u0120absorbed": 19233, "\u0120Pharm": 19234, "ieth": 19235, "\u0120bucket": 19236, "\u0120Recomm": 19237, "OF": 19238, "\u0120Factory": 19239, "ANCE": 19240, "\u0120bacter": 19241, "Has": 19242, "\u0120Observ": 19243, "121": 19244, "\u0120premiere": 19245, "Develop": 19246, "\u0120currencies": 19247, "Cast": 19248, "\u0120accompanying": 19249, "\u0120Nashville": 19250, "\u0120fatty": 19251, "\u0120Brend": 19252, "\u0120locks": 19253, "\u0120centered": 19254, "\u0120UT": 19255, "aughs": 19256, "orie": 19257, "\u0120Affordable": 19258, "vance": 19259, "DL": 19260, "emet": 19261, "\u0120throne": 19262, "\u0120Bluetooth": 19263, "\u0120naming": 19264, "ifts": 19265, "ADE": 19266, "\u0120corrected": 19267, "\u0120promptly": 19268, "\u0120STR": 19269, "\u0120genome": 19270, "\u0120cope": 19271, "\u0120valley": 19272, "\u0120rounded": 19273, "\u0120Kend": 19274, "alion": 19275, "pers": 19276, "\u0120tourism": 19277, "\u0120stark": 19278, "vl": 19279, "\u0120blowing": 19280, "\u0120Schedule": 19281, "std": 19282, "\u0120unhappy": 19283, "\u0120litigation": 19284, "cedes": 19285, "\u0120android": 19286, "\u0120integral": 19287, "erers": 19288, "uded": 19289, "tax": 19290, "\u0120reiter": 19291, "\u0120Motors": 19292, "ociated": 19293, "\u0120wonders": 19294, "\u0120Apost": 19295, "ucking": 19296, "\u0120Roosevelt": 19297, "fram": 19298, "\u0120yields": 19299, "\u0120constitutes": 19300, "awk": 19301, "Interest": 19302, "\u0120interim": 19303, "\u0120breakthrough": 19304, "\u0120Cher": 19305, "\u0120prosec": 19306, "\u0120Dj": 19307, "\u0120MT": 19308, "Resp": 19309, "\u0120PT": 19310, "\u0120sperm": 19311, "edit": 19312, "BT": 19313, "Linux": 19314, "country": 19315, "league": 19316, "\u0120dick": 19317, "\u0120oct": 19318, "\u0120inserting": 19319, "\u0120scra": 19320, "\u0120Brewing": 19321, "\u01201966": 19322, "\u0120runners": 19323, "\u0120plun": 19324, "idy": 19325, "\u0120Dian": 19326, "\u0120dysfunction": 19327, "\u0120exclusion": 19328, "\u0120disgr": 19329, "\u0120incorporate": 19330, "\u0120reconc": 19331, "\u0120nominated": 19332, "\u0120Archer": 19333, "draw": 19334, "achelor": 19335, "\u0120writings": 19336, "\u0120shallow": 19337, "\u0120hast": 19338, "\u0120BMW": 19339, "\u0120RS": 19340, "\u0120thigh": 19341, "\u01201963": 19342, "\u0120lamb": 19343, "\u0120favored": 19344, "agle": 19345, "\u0120cooler": 19346, "\u0120Hours": 19347, "\u0120GU": 19348, "\u0120Origin": 19349, "\u0120glimpse": 19350, "--------------------": 19351, "Lim": 19352, "\u0120cheek": 19353, "\u0120jealous": 19354, "-'": 19355, "\u0120harness": 19356, "\u0120Poison": 19357, "\u0120disabilities": 19358, "neapolis": 19359, "\u0120outlook": 19360, "\u0120notify": 19361, "\u0120Indianapolis": 19362, "\u0120abrupt": 19363, "nsic": 19364, "\u0120encrypted": 19365, "\u0120forfe": 19366, "reath": 19367, "\u0120rabb": 19368, "\u0120foundations": 19369, "\u0120compliment": 19370, "\u0120Interview": 19371, "\u0120Swe": 19372, "\u0120adolesc": 19373, "\u0120monitors": 19374, "\u0120Sacramento": 19375, "\u0120timely": 19376, "\u0120contempl": 19377, "\u0120positioned": 19378, "\u0120posters": 19379, "phies": 19380, "iovascular": 19381, "void": 19382, "\u0120Fifth": 19383, "\u0120investigative": 19384, "OUN": 19385, "\u0120integrate": 19386, "\u0120INC": 19387, "isha": 19388, "iblings": 19389, "\u0120Request": 19390, "\u0120Rodriguez": 19391, "\u0120slides": 19392, "\u0120DX": 19393, "\u0120feminism": 19394, "\u0120datas": 19395, "\u0120bend": 19396, "irus": 19397, "\u0120Nigeria": 19398, "Fox": 19399, "Change": 19400, "\u0120airplane": 19401, "\u0120Laden": 19402, "\u0120publicity": 19403, "ixty": 19404, "\u0120commitments": 19405, "\u0120aggregate": 19406, "\u0120displaying": 19407, "\u0120Arrow": 19408, "\u0120122": 19409, "\u0120respects": 19410, "android": 19411, "six": 19412, "\u0120Sha": 19413, "\u0120restoration": 19414, ")\\": 19415, "WS": 19416, "oys": 19417, "\u0120illustrate": 19418, "without": 19419, "126": 19420, "\u0120\u00e2\u0136\u0124": 19421, "\u0120pickup": 19422, "nels": 19423, "\u0120....": 19424, "food": 19425, "\u0120Fen": 19426, ")?": 19427, "\u0120phenomena": 19428, "\u0120companions": 19429, "\u0120Write": 19430, "\u0120spill": 19431, "\u0120bridges": 19432, "\u0120Updated": 19433, "\u0120Fo": 19434, "\u0120insects": 19435, "ASHINGTON": 19436, "\u0120scare": 19437, "iltr": 19438, "\u0120Zhang": 19439, "\u0120severity": 19440, "\u0120indul": 19441, "149": 19442, "\u0120Coffee": 19443, "\u0120norms": 19444, "\u0120pulse": 19445, "\u0120FT": 19446, "\u0120horrific": 19447, "\u0120Destroy": 19448, "\u0120JSON": 19449, "\u0120olive": 19450, "\u0120discusses": 19451, "Rest": 19452, "Elect": 19453, "\u0120Winn": 19454, "\u0120Surviv": 19455, "\u0120Hait": 19456, "Sure": 19457, "oped": 19458, "\u0120rooted": 19459, "\u0120Ske": 19460, "\u0120Bronze": 19461, "\u0120lol": 19462, "Default": 19463, "\u0120commodity": 19464, "redited": 19465, "\u0120libertarian": 19466, "\u0120forbidden": 19467, "\u0120gran": 19468, "\u00e0\u00a8": 19469, "\u0120lag": 19470, "enz": 19471, "drive": 19472, "\u0120mathematics": 19473, "\u0120wires": 19474, "\u0120critically": 19475, "\u0120carbohyd": 19476, "\u0120Chancellor": 19477, "\u0120Eddie": 19478, "\u0120banning": 19479, "\u0120Fri": 19480, "\u0120complications": 19481, "etric": 19482, "\u0120Bangladesh": 19483, "\u0120bandwidth": 19484, "Stop": 19485, "\u0120Originally": 19486, "\u0120halfway": 19487, "ynasty": 19488, "shine": 19489, "\u0120tales": 19490, "rities": 19491, "avier": 19492, "\u0120spinning": 19493, "\u0120WHO": 19494, "\u0120neighbourhood": 19495, "bach": 19496, "\u0120commerce": 19497, "\u0120Sle": 19498, "BU": 19499, "\u0120entrepreneur": 19500, "\u0120peculiar": 19501, "\u0120Comments": 19502, "fre": 19503, "320": 19504, "ICS": 19505, "\u0120imagery": 19506, "\u0120Canon": 19507, "\u0120Electronic": 19508, "short": 19509, "((": 19510, "Dig": 19511, "\u0120commem": 19512, "uced": 19513, "\u0120inclined": 19514, "\u0120Summon": 19515, "\u0120cliff": 19516, "\u0120Mediterranean": 19517, "\u0120poetry": 19518, "\u0120prosperity": 19519, "\u0120Rece": 19520, "\u0120pills": 19521, "member": 19522, "\u0120finale": 19523, "unc": 19524, "\u0120Gig": 19525, "\u00e4\u00bd": 19526, "\u0120lod": 19527, "\u0120backward": 19528, "-+": 19529, "\u0120Forward": 19530, "\u0120thri": 19531, "sure": 19532, "\u0120soap": 19533, "\u0120FX": 19534, "RES": 19535, "\u0120Sexual": 19536, "oulos": 19537, "\u0120foolish": 19538, "\u0120righteous": 19539, "\u0120coff": 19540, "terrorism": 19541, "ustain": 19542, "oter": 19543, "\u0120abuses": 19544, "next": 19545, "\u0120abusive": 19546, "\u0120thereafter": 19547, "\u0120prohibition": 19548, "\u0120SUP": 19549, "\u0120dip": 19550, "\u0120ripped": 19551, "\u0120inherited": 19552, "\u0120bats": 19553, "stru": 19554, "GT": 19555, "\u0120flawed": 19556, "phabet": 19557, "\u0120fog": 19558, "doors": 19559, "\u0120imaging": 19560, "\u0120digits": 19561, "\u0120Hungary": 19562, "\u0120arrog": 19563, "\u0120teachings": 19564, "\u0120protocols": 19565, "\u0120Banks": 19566, "\u00e0\u00b8": 19567, "pound": 19568, "\u0120Curt": 19569, ".\")": 19570, "./": 19571, "\u0120exemption": 19572, "endix": 19573, "\u0120Mull": 19574, "\u0120improves": 19575, "\u0120Gamer": 19576, "dimensional": 19577, "Icon": 19578, "\u0120Margaret": 19579, "Status": 19580, "dates": 19581, "\u0120intends": 19582, "\u0120depict": 19583, "\u0120parked": 19584, "Joe": 19585, "\u0120Marines": 19586, "chnology": 19587, "!).": 19588, "\u0120judged": 19589, "\u0120weights": 19590, "Ray": 19591, "\u0120apartments": 19592, "hester": 19593, "\u0120reinforce": 19594, "\u0120offender": 19595, "occup": 19596, "\u0120sore": 19597, "ept": 19598, "\u0120PHP": 19599, "\u0120Brow": 19600, "\u0120authorization": 19601, "\u0120Risk": 19602, "\u0120Delaware": 19603, "\u0120QU": 19604, "\u0120notifications": 19605, "\u0120sunlight": 19606, "\u0120exclude": 19607, "dat": 19608, "\u0120mesh": 19609, "\u0120Sudan": 19610, "\u0120belonged": 19611, "\u0120subway": 19612, "\u0120noon": 19613, "\u0120Interior": 19614, "olics": 19615, "\u0120Lakers": 19616, "\u0120coding": 19617, "Disclaimer": 19618, "Calif": 19619, "Old": 19620, "\u0120disl": 19621, "?????": 19622, "\u0120confirms": 19623, "\u0120recruitment": 19624, "\u0120homicide": 19625, "Consider": 19626, "\u0120Jeffrey": 19627, "fty": 19628, "};": 19629, "\u0120objection": 19630, "doing": 19631, "\u0120Leo": 19632, "Want": 19633, "\u0120glow": 19634, "\u0120Clarke": 19635, "\u0120Norman": 19636, "\u0120verification": 19637, "\u0120packet": 19638, "\u0120Formula": 19639, "\u0120plag": 19640, "esville": 19641, "\u0120shouting": 19642, "\u0120ov": 19643, "\u0120REC": 19644, "\u0120Bub": 19645, "\u0120ninth": 19646, "\u0120energ": 19647, "\u0120validity": 19648, "\u0120ups": 19649, "jack": 19650, "\u0120neighboring": 19651, "\u0120Nec": 19652, "eworks": 19653, "\u0120Hab": 19654, "arez": 19655, "\u0120spine": 19656, "\u0120eventual": 19657, "\u0120Leaders": 19658, "\u0120Carn": 19659, "\u0120probation": 19660, "\u0120romance": 19661, "msg": 19662, "\u0120Mechanical": 19663, "ERY": 19664, "Rock": 19665, "\u0120partisan": 19666, "Node": 19667, "assets": 19668, "minent": 19669, "\u0120foreigners": 19670, "\u0120testify": 19671, "\u0120Usually": 19672, "lords": 19673, "\u0120Gren": 19674, "\u0120Powell": 19675, "BIL": 19676, "\u0120sr": 19677, "\u0120addict": 19678, "\u0120shells": 19679, "\u0120sigh": 19680, "\u0120Yale": 19681, "ternity": 19682, "\u0120750": 19683, "EU": 19684, "\u0120Rifle": 19685, "\u0120patron": 19686, "ema": 19687, "\u0120Bannon": 19688, "anity": 19689, "\u0120tropical": 19690, "\u0120VII": 19691, "cross": 19692, "Everything": 19693, "\u0120ISO": 19694, "\u0120humble": 19695, "assing": 19696, "\u0120FIG": 19697, "\u0120updating": 19698, "yson": 19699, "\u0120calcium": 19700, "\u0120competent": 19701, "\u0120steering": 19702, "Prot": 19703, "\u0120SY": 19704, "\u0120Finals": 19705, "\u0120Rug": 19706, "159": 19707, "137": 19708, "\u0120Golf": 19709, "\u0120126": 19710, "\u0120accommodation": 19711, "\u0120Hughes": 19712, "\u0120aesthetic": 19713, "artisan": 19714, "\u0120Twilight": 19715, "\u0120prince": 19716, "\u0120Agriculture": 19717, "\u0120Disco": 19718, "\u0120precedent": 19719, "\u0120typing": 19720, "authorized": 19721, "Option": 19722, "\u0120Aub": 19723, "lishes": 19724, "acht": 19725, "mag": 19726, "Peter": 19727, "\u0120UFO": 19728, "monton": 19729, "\u0120Lith": 19730, "\u0120arom": 19731, "\u0120securing": 19732, "\u0120confined": 19733, "private": 19734, "\u0120swords": 19735, "\u0120markers": 19736, "\u0120metabolic": 19737, "select": 19738, "\u0120Curse": 19739, "\u0120Ot": 19740, "gressive": 19741, "\u0120incumb": 19742, "\u0120Saga": 19743, "\u0120priced": 19744, "\u0120clearance": 19745, "Content": 19746, "\u0120drilling": 19747, "\u0120notices": 19748, "\u0120bourgeois": 19749, "\u0120vest": 19750, "\u0120cookie": 19751, "\u0120Guardians": 19752, "rys": 19753, "inyl": 19754, "\u0120124": 19755, "\u0120plausible": 19756, "ongh": 19757, "\u0120Odin": 19758, "\u0120conception": 19759, "\u0120Yuk": 19760, "\u0120Baghdad": 19761, "\u0120Flag": 19762, "Austral": 19763, "\u0120IBM": 19764, "\u0120internationally": 19765, "\u0120WikiLeaks": 19766, "IED": 19767, "\u0120cyn": 19768, "\u0120chooses": 19769, "\u0120Pill": 19770, "\u0120combining": 19771, "\u0120radi": 19772, "\u0120Mohammed": 19773, "defense": 19774, "atching": 19775, "Subject": 19776, "iciency": 19777, "Frame": 19778, "\u0120{\"": 19779, "\u0120chess": 19780, "\u0120timer": 19781, "190": 19782, "\u0120tin": 19783, "\u0120ordinance": 19784, "emetery": 19785, "\u0120accusing": 19786, "\u0120noticeable": 19787, "\u0120centres": 19788, "\u0120lid": 19789, "\u0120Mills": 19790, "imgur": 19791, "\u0120zoom": 19792, "ergic": 19793, "\u0120compression": 19794, "prim": 19795, "find": 19796, "\u0120surg": 19797, "\u0120pand": 19798, "\u0120Kee": 19799, "\u0120Chad": 19800, "cellence": 19801, "oyle": 19802, "\u0120socialism": 19803, "\u0120Travis": 19804, "\u0120MHz": 19805, "\u0120guild": 19806, "ALLY": 19807, "\u0120Subscribe": 19808, "\u0120Related": 19809, "\u0120occurrence": 19810, "itching": 19811, "\u0120fictional": 19812, "\u0120crush": 19813, "\u0120EA": 19814, "cod": 19815, "mix": 19816, "\u0120Triple": 19817, "\u0120retrieve": 19818, "\u0120stimulus": 19819, "\u0120psychiat": 19820, "\u0120Door": 19821, "\u0120homosexuality": 19822, "\u0120elementary": 19823, "\u0120cellular": 19824, "idian": 19825, "\u0120Laun": 19826, "\u0120intriguing": 19827, "\u0120foam": 19828, "\u0120Bass": 19829, "idi": 19830, "itsu": 19831, "\u0120assure": 19832, "\u0120congrat": 19833, "\u0120businessman": 19834, "\u0120Boost": 19835, "close": 19836, "\u0120lied": 19837, "\u0120sciences": 19838, "\u0120Omega": 19839, "\u0120Graphics": 19840, "\u0120<=": 19841, "spoken": 19842, "\u0120connectivity": 19843, "Saturday": 19844, "\u0120Avengers": 19845, "\u0120toggle": 19846, "\u0120ankle": 19847, "\u0120nationalist": 19848, "model": 19849, "\u0120Pool": 19850, "ophobia": 19851, "Var": 19852, "\u0120Mons": 19853, "atories": 19854, "\u0120aggressively": 19855, "Clear": 19856, "Forge": 19857, "acters": 19858, "\u0120hedge": 19859, "\u0120pipes": 19860, "\u0120blunt": 19861, "\u0120sq": 19862, "\u0120remotely": 19863, "Wed": 19864, "asers": 19865, "\u0120refriger": 19866, "\u0120tiles": 19867, "\u0120rescued": 19868, "\u0120comprised": 19869, "insky": 19870, "\u0120manif": 19871, "avanaugh": 19872, "\u0120prolifer": 19873, "\u0120aligned": 19874, "xml": 19875, "\u0120triv": 19876, "\u0120coordination": 19877, "\u0120PER": 19878, "\u0120Quote": 19879, "134": 19880, "bf": 19881, "\u0120Saw": 19882, "\u0120termination": 19883, "\u0120190": 19884, "\u0120additions": 19885, "\u0120trio": 19886, "\u0120projections": 19887, "\u0120positively": 19888, "\u0120inclusive": 19889, "\u0120membr": 19890, "1990": 19891, "older": 19892, "\u0120practiced": 19893, "inkle": 19894, "Arch": 19895, "\u0120starters": 19896, "arius": 19897, "\u0120intermediate": 19898, "\u0120Benef": 19899, "\u0120Killer": 19900, "\u0120interventions": 19901, "\u0120Kil": 19902, "\u0120Flying": 19903, "Inv": 19904, "\u0120premature": 19905, "\u0120psychiatric": 19906, "\u0120indie": 19907, "\u0120collar": 19908, "\u0120Rainbow": 19909, "afi": 19910, "\u0120disruption": 19911, "\u0120FOX": 19912, "casting": 19913, "\u0120misdem": 19914, "cro": 19915, "\u0120wipe": 19916, "ardon": 19917, "\u0120bast": 19918, "\u0120Tommy": 19919, "\u0120Representative": 19920, "\u0120belly": 19921, "\u0120PO": 19922, "\u0120Breitbart": 19923, "132": 19924, "\u0120messaging": 19925, "Should": 19926, "References": 19927, "\u0120GRE": 19928, "istical": 19929, "LP": 19930, "\u0120Cav": 19931, "\u0120Crazy": 19932, "\u0120intuitive": 19933, "keeping": 19934, "\u0120Moss": 19935, "\u0120discontin": 19936, "\u0120Module": 19937, "\u0120unrelated": 19938, "\u0120Practice": 19939, "\u0120Transport": 19940, "\u0120statistically": 19941, "orns": 19942, "\u0120sized": 19943, "pu": 19944, "\u0120caf": 19945, "\u0120Worlds": 19946, "\u0120Rodgers": 19947, "\u0120Lun": 19948, "\u0120Comic": 19949, "living": 19950, "\u0120cared": 19951, "\u0120climbed": 19952, "){": 19953, "\u0120consisted": 19954, "\u0120medieval": 19955, "folk": 19956, "\u0120hacked": 19957, "\u0120dire": 19958, "\u0120Hermione": 19959, "\u0120tended": 19960, "ceans": 19961, "Daniel": 19962, "went": 19963, "\u0120legislators": 19964, "\u0120redes": 19965, "games": 19966, "\u0120gn": 19967, "amiliar": 19968, "\u0120++": 19969, "ggy": 19970, "threat": 19971, "\u0120magnet": 19972, "\u0120perceive": 19973, "\u0120zip": 19974, "\u0120indictment": 19975, "\u0120critique": 19976, "gard": 19977, "\u0120Safe": 19978, "\u0120Cream": 19979, "\u0120advent": 19980, "oba": 19981, "\u0120vowed": 19982, "ousands": 19983, "\u0120ski": 19984, "\u0120abortions": 19985, "uart": 19986, "\u0120stunned": 19987, "\u0120advancing": 19988, "\u0120lacked": 19989, "\u0120\\\"": 19990, "\u0120schizophren": 19991, "\u0120elegant": 19992, "\u0120conferences": 19993, "\u0120canceled": 19994, "\u0120Hudson": 19995, "\u0120Hopefully": 19996, "\u0120trump": 19997, "\u0120frequencies": 19998, "\u0120meteor": 19999, "\u0120Junior": 20000, "\u0120Fleet": 20001, "\u0120Malcolm": 20002, "\u0120Tools": 20003, "\u0120........": 20004, "\u0120hobby": 20005, "\u0120Europeans": 20006, "\u01201500": 20007, "\u0120Into": 20008, "\u0120sway": 20009, "\u0120Appro": 20010, "\u0120Compl": 20011, "Community": 20012, "\u0120tide": 20013, "\u0120Summit": 20014, "\u00e4\u00bb": 20015, "\u0120intervals": 20016, "\u0120Ether": 20017, "\u0120habitat": 20018, "\u0120Stevens": 20019, "lishing": 20020, "\u0120Domain": 20021, "\u0120triggers": 20022, "\u0120chasing": 20023, "\u0120charm": 20024, "\u0120Flower": 20025, "itored": 20026, "\u0120blessing": 20027, "\u0120textures": 20028, "Five": 20029, "\u0120liquor": 20030, "RP": 20031, "FIN": 20032, "\u01201962": 20033, "CAR": 20034, "Unknown": 20035, "\u0120resil": 20036, "\u0120Lily": 20037, "\u0120abundance": 20038, "\u0120predictable": 20039, "rar": 20040, "\u0120bullshit": 20041, "leen": 20042, "chet": 20043, "Mor": 20044, "Much": 20045, "\u00e4\u00b9": 20046, "\u0120emphasized": 20047, "\u0120crust": 20048, "\u0120primitive": 20049, "\u0120enjoyable": 20050, "\u0120Pictures": 20051, "\u0120teammate": 20052, "pler": 20053, "\u0120Tol": 20054, "\u0120Kane": 20055, "\u0120summoned": 20056, "thy": 20057, "rama": 20058, "\u0120Honda": 20059, "\u0120realizing": 20060, "\u0120quicker": 20061, "\u0120concentrate": 20062, "clear": 20063, "\u0120210": 20064, "\u0120Erdogan": 20065, "aris": 20066, "\u0120responds": 20067, "\u0120BI": 20068, "\u0120eligibility": 20069, "\u0120pushes": 20070, "\u0120Idaho": 20071, "\u0120aggrav": 20072, "\u0120ruins": 20073, "urations": 20074, "\u0120bans": 20075, "\u0120anat": 20076, "share": 20077, "\u0120grind": 20078, "hin": 20079, "umen": 20080, "\u0120utilities": 20081, "\u0120Yankees": 20082, "\u0120databases": 20083, "\u0120DD": 20084, "\u0120displaced": 20085, "\u0120dependencies": 20086, "\u0120stimulation": 20087, "hun": 20088, "houses": 20089, "\u0120Pretty": 20090, "\u0120Ravens": 20091, "\u0120TODAY": 20092, "\u0120associates": 20093, "\u0120therape": 20094, "cled": 20095, "\u0120deer": 20096, "\u0120repairs": 20097, "rentice": 20098, "\u0120receptors": 20099, "\u0120remed": 20100, "\u0120Ce": 20101, "\u0120marriages": 20102, "\u0120ballots": 20103, "\u0120Soldier": 20104, "\u0120hilarious": 20105, "opl": 20106, "138": 20107, "\u0120inherently": 20108, "\u0120ignorant": 20109, "\u0120bounce": 20110, "\u0120Easter": 20111, "RELATED": 20112, "\u0120Currency": 20113, "EV": 20114, "\u00e3\u0125\u0140": 20115, "\u0120Lead": 20116, "\u0120deceased": 20117, "Brien": 20118, "\u0120Musk": 20119, "JS": 20120, "\u0120merge": 20121, "hearted": 20122, "creat": 20123, "mitt": 20124, "mund": 20125, "\u0120\u00e2\u0122\u012d": 20126, "\u0120Bag": 20127, "\u0120projection": 20128, "\u0120java": 20129, "\u0120Standards": 20130, "\u0120Leonard": 20131, "\u0120coconut": 20132, "\u0120Population": 20133, "\u0120traject": 20134, "\u0120imply": 20135, "\u0120curiosity": 20136, "\u0120DB": 20137, "\u0120Fresh": 20138, "\u0120Por": 20139, "\u0120heavier": 20140, "neys": 20141, "gomery": 20142, "\u0120deserved": 20143, "\u0120phrases": 20144, "\u0120GC": 20145, "\u0120yeast": 20146, "desc": 20147, "Death": 20148, "\u0120reboot": 20149, "\u0120metadata": 20150, "ICAL": 20151, "\u0120repay": 20152, "\u0120Independence": 20153, "\u0120suburban": 20154, "icals": 20155, "\u0120atop": 20156, "\u0120allocation": 20157, "generation": 20158, "\u0120Gram": 20159, "\u0120moisture": 20160, "\u0120pine": 20161, "\u0120Liberals": 20162, "\u0120aides": 20163, "\u0120underest": 20164, "\u0120Berry": 20165, "\u0120ceremon": 20166, "370": 20167, "astrous": 20168, "\u0120Pirates": 20169, "\u0120tense": 20170, "\u0120Industries": 20171, "\u0120Appeals": 20172, "\u0120Near": 20173, "\u0120\u00e8\u00a3\u0131\u00e7": 20174, "\u0120lovers": 20175, "\u0120CAP": 20176, "\u0120Craw": 20177, "\u0120giants": 20178, "\u0120efficacy": 20179, "Element": 20180, "\u0120Behavior": 20181, "\u0120Toyota": 20182, "\u0120intest": 20183, "Priv": 20184, "AI": 20185, "\u0120maneuver": 20186, "\u0120perfection": 20187, "\u0120bang": 20188, "paper": 20189, "rill": 20190, "George": 20191, "border": 20192, "inters": 20193, "\u0120Seth": 20194, "\u0120clues": 20195, "\u0120Levi": 20196, "\u0120Revenue": 20197, "147": 20198, "\u0120vapor": 20199, "\u0120fortunate": 20200, "\u0120threatens": 20201, "\u0120vet": 20202, "\u0120dependency": 20203, "ersed": 20204, "article": 20205, "\u0120Blizzard": 20206, "\u0120chlor": 20207, "\u0120minus": 20208, "\u0120Bills": 20209, "\u0120cryptocurrency": 20210, "\u0120metabolism": 20211, "tering": 20212, "\u0120pestic": 20213, "steps": 20214, "\u0120Treasure": 20215, "racted": 20216, "\u0120Constant": 20217, "\u0120temp": 20218, "139": 20219, "\u0120Detective": 20220, "urally": 20221, "\u0120recovering": 20222, "\u0120cortex": 20223, "\u0120144": 20224, "closed": 20225, "\u0120prejudice": 20226, "aunted": 20227, "\u0120storms": 20228, "\u0120NOW": 20229, "\u0120machinery": 20230, "Address": 20231, "\u0120compelled": 20232, "270": 20233, "\u0120despair": 20234, "bane": 20235, "\u0120vegetable": 20236, "\u0120beds": 20237, "Learn": 20238, "\u0120colorful": 20239, "\u0120spike": 20240, "\u0120margins": 20241, "\u0120sympathy": 20242, "\u0120workshop": 20243, "\u0120CBC": 20244, "Sat": 20245, "\u0120burns": 20246, "\u0120Gender": 20247, "\u0120129": 20248, "\u0120Cable": 20249, "\u0120debts": 20250, "\u0120Theresa": 20251, "\u0120reflecting": 20252, "\u0120airst": 20253, "\u0120rim": 20254, "ramid": 20255, "\u0120weaknesses": 20256, "Writ": 20257, "oggle": 20258, "ti": 20259, "\u0120Charge": 20260, "\u0120weighed": 20261, "\u0120(.": 20262, "\u0120laughter": 20263, "\u0120router": 20264, "\u0120Democracy": 20265, "Dear": 20266, "\u0120hasht": 20267, "\u0120dy": 20268, "\u0120hints": 20269, "running": 20270, "\u0120finishes": 20271, "arus": 20272, "Mass": 20273, "result": 20274, "ascus": 20275, "\u0120vintage": 20276, "\u0120conqu": 20277, "\u0120wildly": 20278, "acist": 20279, "\u0120lingu": 20280, "\u0120protagonist": 20281, "strom": 20282, "teenth": 20283, "\u0120Solo": 20284, "mac": 20285, "filled": 20286, "\u0120renown": 20287, "itives": 20288, "\u0120motive": 20289, "\u0120Antar": 20290, "\u0120Mann": 20291, "\u0120Adjust": 20292, "\u0120rockets": 20293, "\u0120troubling": 20294, "ei": 20295, "\u0120organisms": 20296, "assis": 20297, "Christian": 20298, "\u0120145": 20299, "\u0120Hass": 20300, "\u0120swall": 20301, "\u0120wax": 20302, "\u0120Survival": 20303, "VS": 20304, "\u0120Murd": 20305, "vd": 20306, "standard": 20307, "\u0120dragons": 20308, "\u0120acceleration": 20309, "rational": 20310, "final": 20311, "\u0120paired": 20312, "\u0120Ethereum": 20313, "\u0120interfaces": 20314, "\u0120resent": 20315, "\u0120artifacts": 20316, "\u00c5\u00ab": 20317, "arel": 20318, "\u0120competitor": 20319, "\u0120Nicholas": 20320, "\u0120Surface": 20321, "cpp": 20322, "\u0120Tot": 20323, "\u0120economically": 20324, "\u0120organised": 20325, "\u0120enforced": 20326, "inho": 20327, "\u0120varieties": 20328, "\u0120abdom": 20329, "\u0120Bailey": 20330, "idav": 20331, "\u0120Salv": 20332, "paid": 20333, "\u0120altitude": 20334, "essert": 20335, "\u0120Gutenberg": 20336, "area": 20337, "opoulos": 20338, "\u0120professors": 20339, "iggs": 20340, "\u0120Fate": 20341, "hey": 20342, "\u01203000": 20343, "Dist": 20344, "\u0120twins": 20345, "cill": 20346, "\u0120Maps": 20347, "\u0120traps": 20348, "\u0120weed": 20349, "\u0120Kiss": 20350, "\u0120yoga": 20351, "\u0120recipients": 20352, "\u0120Westminster": 20353, "\u0120pools": 20354, "\u0120Walmart": 20355, "188": 20356, "\u0120Schools": 20357, "attack": 20358, "\u0120ARM": 20359, "paragraph": 20360, "Warning": 20361, "jl": 20362, "\u0120selfish": 20363, "anchez": 20364, "\u0120Heights": 20365, "Fre": 20366, "\u0120Soph": 20367, "\u0120--------------------------------": 20368, "tml": 20369, "333": 20370, "\u0120raids": 20371, "\u0120satellites": 20372, "KEY": 20373, "\u0120lasts": 20374, "\u00d1\u0124": 20375, "Ins": 20376, "\u0120Dame": 20377, "\u0120unpredict": 20378, "///": 20379, "ghai": 20380, "\u0120artillery": 20381, "\u0120cruise": 20382, "\u0120gel": 20383, "\u0120Cabinet": 20384, "\u0120blows": 20385, "\u0120Esp": 20386, "\u0120proximity": 20387, "othe": 20388, "\u0120Skills": 20389, "\u0120Upper": 20390, "obo": 20391, "\u0120NDP": 20392, "\u0120enjoys": 20393, "\u0120repeating": 20394, "\u0120Construction": 20395, "\u0120Questions": 20396, "Hillary": 20397, "\u0120uint": 20398, "\u0120processors": 20399, "\u0120Gibson": 20400, "\u0120Multiple": 20401, "qa": 20402, "\u0120Bom": 20403, "\u0120Miles": 20404, "ventional": 20405, "\u0120hurts": 20406, "skin": 20407, "\u0120AIDS": 20408, "\u0120advisers": 20409, "\u0120Root": 20410, "\u0120methodology": 20411, "\u0120Dale": 20412, "\u0120deton": 20413, "\u0120Knowledge": 20414, "sequently": 20415, "\u0120121": 20416, "\u0120connects": 20417, "Cy": 20418, "\u0120Danger": 20419, "\u0120contributors": 20420, "\u0120Bent": 20421, "\u0120brass": 20422, "\u0120Guns": 20423, "into": 20424, "\u0120Fortune": 20425, "\u0120broker": 20426, "balance": 20427, "\u0120lengths": 20428, "\u0120vic": 20429, "\u0120averaging": 20430, "\u0120appropriately": 20431, "\u0120Camera": 20432, "\u0120sandwich": 20433, "\u0120CDC": 20434, "\u0120coordinate": 20435, "\u0120navig": 20436, "\u0120goodness": 20437, "laim": 20438, "\u0120brake": 20439, "\u0120extremist": 20440, "\u0120Wake": 20441, "\u0120Mend": 20442, "\u0120Tiny": 20443, "\u0120COL": 20444, "\u0120RF": 20445, "\u0120Dual": 20446, "\u0120Wine": 20447, "Case": 20448, "\u0120refined": 20449, "\u0120lamp": 20450, "Lead": 20451, "\u0120bapt": 20452, "\u0120Carb": 20453, "\u0120Sadd": 20454, "\u0120Minneapolis": 20455, "PDF": 20456, "Early": 20457, "\u0120Hidden": 20458, "Its": 20459, "\u0120TIME": 20460, "\u0120pap": 20461, "\u0120commissioned": 20462, "\u0120Few": 20463, "\u0120Colts": 20464, "\u0120Bren": 20465, "\u0120bothered": 20466, "\u0120likewise": 20467, "Exper": 20468, "\u0120Schw": 20469, "cry": 20470, "nn": 20471, "\u0120Mitch": 20472, "imon": 20473, "MG": 20474, "bm": 20475, "UMP": 20476, "rays": 20477, "\u0120registry": 20478, "\u0120270": 20479, "achine": 20480, "rella": 20481, "anting": 20482, "00000": 20483, "\u0120ruined": 20484, "spot": 20485, "\u0120ta": 20486, "\u0120maximize": 20487, "\u0120inconven": 20488, "Dead": 20489, "Human": 20490, "Enabled": 20491, "\u0120Marie": 20492, "\u0120chill": 20493, "\u0120Paradise": 20494, "\u0120starring": 20495, "\u0120Latino": 20496, "\u0120Protocol": 20497, "\u0120EVER": 20498, "\u0120suppliers": 20499, "message": 20500, "\u0120Brock": 20501, "\u0120serum": 20502, "\u00e2\u0138\u012a\u00e2\u0138\u012a\u00e2\u0138\u012a\u00e2\u0138\u012a": 20503, "\u0120encomp": 20504, "\u0120ambition": 20505, "uese": 20506, "\u0120arrows": 20507, "Andrew": 20508, "\u0120antenna": 20509, "\u01201961": 20510, "\u0120Bark": 20511, "\u0120bool": 20512, "\u00e3\u0124\u00aa": 20513, "\u0120Storage": 20514, "\u0120railway": 20515, "\u0120tougher": 20516, "\u0120Cad": 20517, "\u0120washing": 20518, "Py": 20519, "']": 20520, "embed": 20521, "\u0120Memphis": 20522, "ackle": 20523, "\u0120famously": 20524, "\u0120Fortunately": 20525, "ovies": 20526, "\u0120mindset": 20527, "\u0120sneak": 20528, "\u0120Dh": 20529, "RAW": 20530, "\u0120Simpson": 20531, "\u0120livest": 20532, "\u0120landmark": 20533, "\u0120cement": 20534, "Low": 20535, "\u0120thrilled": 20536, "\u0120Course": 20537, "inel": 20538, "\u0120chuck": 20539, "idate": 20540, "global": 20541, "\u0120whit": 20542, "\u0120\u00ef\u00bf\u00bd": 20543, "adays": 20544, "ski": 20545, "\u0120SV": 20546, "\u0120viruses": 20547, "306": 20548, "\u0120Respons": 20549, "\u0120theaters": 20550, "\u0120Branch": 20551, "\u0120Geneva": 20552, "\u0120MK": 20553, "\u0120unbeliev": 20554, "\u0120communist": 20555, "Original": 20556, "\u0120Received": 20557, "\u0120Transfer": 20558, "\u0120Arg": 20559, "Input": 20560, "\u0120Strategy": 20561, "\u0120palace": 20562, "thening": 20563, "Dri": 20564, "\u0120sentencing": 20565, "umbnail": 20566, "\u0120pins": 20567, "recy": 20568, "\u0120siblings": 20569, "Getting": 20570, "\u0120BU": 20571, "\u0120Northwest": 20572, "\u0120prolonged": 20573, "\u0120Sakura": 20574, "Comb": 20575, "\u0120Bour": 20576, "\u0120inadequate": 20577, "\u0120Kash": 20578, "\u0120username": 20579, "\u0120Improve": 20580, "\u0120battling": 20581, "\u0120MAC": 20582, "\u0120curriculum": 20583, "\u0120soda": 20584, "\u0120Cannon": 20585, "\u0120sensible": 20586, "spons": 20587, "December": 20588, "\u0120wicked": 20589, "\u0120Pengu": 20590, "\u0120dictators": 20591, "\u0120Hearts": 20592, "ogyn": 20593, "\u0120similarities": 20594, "\u0120Stats": 20595, "\u0120hollow": 20596, "itations": 20597, "\":[": 20598, "\u0120hover": 20599, "\u0120Listen": 20600, "sch": 20601, "Sund": 20602, "\u0120cad": 20603, "\u0120Parks": 20604, "\u0120lur": 20605, "\u0120hype": 20606, "\u0120Lem": 20607, "NAME": 20608, "isure": 20609, "Friday": 20610, "\u0120shoots": 20611, "\u0120closes": 20612, "\u0120db": 20613, "\u0120Ridge": 20614, "\u0120Different": 20615, "\u0120replies": 20616, "\u0120Broadway": 20617, "opers": 20618, "\u0120intoler": 20619, "\u0120Zeus": 20620, "akespe": 20621, "\u0120proprietary": 20622, "\u0120requesting": 20623, "\u0120controllers": 20624, "\u0120MIN": 20625, "imedia": 20626, "becca": 20627, "\u0120expans": 20628, "\u0120oils": 20629, "Bot": 20630, "\u0120Chand": 20631, "\u0120printer": 20632, "\u0120topped": 20633, "\u0120POL": 20634, "\u0120Earlier": 20635, "Social": 20636, "avin": 20637, "\u0120decreases": 20638, "\u0120Seb": 20639, "\u0120specifications": 20640, "\u0120Blast": 20641, "\u0120Kurt": 20642, "\u0120freel": 20643, "Brown": 20644, "\u0120dilig": 20645, "roe": 20646, "\u0120Problem": 20647, "\u0120Quad": 20648, "\u0120decentral": 20649, "\u0120Vector": 20650, "anut": 20651, "\u0120plugins": 20652, "\u0120Gregory": 20653, "\u0120fucked": 20654, "elines": 20655, "\u0120Ambassador": 20656, "take": 20657, "\u0120cleans": 20658, "ongyang": 20659, "Anonymous": 20660, "stro": 20661, "\"}": 20662, "aline": 20663, "\u0120Odd": 20664, "\u0120Eug": 20665, "216": 20666, "\u0120boil": 20667, "\u0120Powers": 20668, "\u0120nurses": 20669, "Obviously": 20670, "\u0120Technical": 20671, "\u0120exceeded": 20672, "ORS": 20673, "\u0120extremists": 20674, "\u0120traces": 20675, "expl": 20676, "\u0120comr": 20677, "\u0120Sach": 20678, ")/": 20679, "\u0120masks": 20680, "\u0120sci": 20681, "Bon": 20682, "\u0120regression": 20683, "wegian": 20684, "\u0120advisor": 20685, "itures": 20686, "\u0120Vo": 20687, "example": 20688, "\u0120Instruct": 20689, "\u0120siege": 20690, "\u0120reductions": 20691, "ptr": 20692, "\u0120statutory": 20693, "\u0120removes": 20694, "\u0120puck": 20695, "redits": 20696, "\u0120bee": 20697, "\u0120salad": 20698, "\u0120promotions": 20699, "\u0120Joshua": 20700, "withstanding": 20701, "ETH": 20702, "\u0120Cha": 20703, "imus": 20704, "\u0120expenditure": 20705, "aunting": 20706, "\u0120delighted": 20707, "\u0120155": 20708, "beh": 20709, "\u0120carpet": 20710, "\u0120Spart": 20711, "\u0120jungle": 20712, "lists": 20713, "\u0120bullying": 20714, "\u0120Nobel": 20715, "\u0120Glen": 20716, "\u0120referenced": 20717, "\u0120introduces": 20718, "sein": 20719, "\u0120chopped": 20720, "glass": 20721, "\u0120Wrest": 20722, "\u0120neutrality": 20723, "\u0120\u00e2\u013b": 20724, "\u0120investigator": 20725, "\u0120shelves": 20726, "\u0120unconstitutional": 20727, "\u0120reproduction": 20728, "\u0120merchant": 20729, "mia": 20730, "\u0120metrics": 20731, "\u0120explosives": 20732, "\u0120Sonia": 20733, "\u0120bodily": 20734, "\u0120thickness": 20735, "\u0120predominantly": 20736, "\u0120Ability": 20737, "\u0120monitored": 20738, "ICH": 20739, "\u0120].": 20740, "\u0120Martinez": 20741, "\u0120visibility": 20742, "\u0120queries": 20743, "\u0120genocide": 20744, "\u0120Warfare": 20745, "Query": 20746, "\u0120studios": 20747, "\u0120embry": 20748, "\u0120corridor": 20749, "\u0120cleaned": 20750, "complete": 20751, "\u0120MH": 20752, "\u0120enrollment": 20753, "INGS": 20754, "\u0120impacted": 20755, "\u0120disastrous": 20756, "\u0120Yun": 20757, "\u0120Claire": 20758, "\u0120Basically": 20759, "yt": 20760, "usterity": 20761, "\u0120indirectly": 20762, "wik": 20763, "\u0120dod": 20764, "\u0120Carr": 20765, "\u0120amp": 20766, "\u0120prohibit": 20767, "\u0120Initial": 20768, "\u0120Rd": 20769, "iji": 20770, "\u0120educate": 20771, "corn": 20772, "iott": 20773, "\u0120Beauty": 20774, "\u0120detective": 20775, "\u0120Conn": 20776, "since": 20777, "\u0120stagger": 20778, "\u0120obese": 20779, "\u0120bree": 20780, "ologic": 20781, "isse": 20782, "walker": 20783, "\u0120blades": 20784, "\u0120lawful": 20785, "func": 20786, "\u0120Behind": 20787, "\u0120appetite": 20788, "\u0120(*": 20789, "\u0120tennis": 20790, "\u0120offspring": 20791, "\u0120jets": 20792, "\u0120structured": 20793, "\u0120aforementioned": 20794, "Nov": 20795, "\u0120scaling": 20796, "fill": 20797, "\u0120stew": 20798, "\u0120curb": 20799, "\u0120Stephan": 20800, "edIn": 20801, "SF": 20802, "obic": 20803, "\u00e9\u0143\u0136": 20804, "oug": 20805, "\u0120MM": 20806, "\u0120genetically": 20807, "opez": 20808, "136": 20809, "\u0120umb": 20810, "ancers": 20811, "\u0120cohort": 20812, "\u0120merchandise": 20813, "\u0120imposing": 20814, "\u0120Legislature": 20815, "\u0120Archive": 20816, "ivia": 20817, "\u0120Naval": 20818, "\u0120offences": 20819, "\u0120miracle": 20820, "\u0120snapped": 20821, "\u0120foes": 20822, "\u0120extensively": 20823, "\u0120Raf": 20824, "\u0120cater": 20825, "edience": 20826, "Kit": 20827, "\u0120Bin": 20828, "\u0120recommends": 20829, "\u0120Cities": 20830, "\u0120rigid": 20831, "\u0120READ": 20832, "\u0120Noble": 20833, "\u0120Tian": 20834, "\u0120certificates": 20835, "antis": 20836, "oiler": 20837, "\u0120Buddhist": 20838, "did": 20839, "\u0120surveyed": 20840, "\u0120downward": 20841, "\u0120prints": 20842, "\u0120Motion": 20843, "ronics": 20844, "\u0120Sans": 20845, "ossibly": 20846, "uctions": 20847, "\u0120colonies": 20848, "\u0120Danish": 20849, "unit": 20850, "\u0120spoil": 20851, "\u0120advisory": 20852, "berries": 20853, "Plan": 20854, "\u0120specification": 20855, "ophers": 20856, "\u0120Resource": 20857, "\u0120shirts": 20858, "prisingly": 20859, "communications": 20860, "\u0120trivial": 20861, "\u0120mentioning": 20862, "isexual": 20863, "\u0120supplements": 20864, "\u0120supervision": 20865, "BP": 20866, "vor": 20867, "\u0120wit": 20868, "\u0120cooldown": 20869, "\u0120plaintiff": 20870, "\u0120Reviews": 20871, "\u0120Sri": 20872, "\u0120Mint": 20873, "\u0120Sugar": 20874, "\u0120afterward": 20875, "\u0120Priest": 20876, "\u0120Investment": 20877, "ogene": 20878, "\u0120Taking": 20879, "\u0120stretching": 20880, "\u0120inflammation": 20881, "\u0120Tehran": 20882, "\u0120lining": 20883, "\u0120freezing": 20884, "\u0120Entity": 20885, "\u0120inspiring": 20886, "special": 20887, "price": 20888, "\u0120sue": 20889, "\u0120Porter": 20890, "ounge": 20891, "ETA": 20892, "\u0120Derek": 20893, "\u0120Luis": 20894, "uo": 20895, "ymph": 20896, "\u0120exterior": 20897, "ihil": 20898, "\u0120Ashley": 20899, "inator": 20900, "\u0120nutrients": 20901, "\u0120Thrones": 20902, "\u0120finances": 20903, "\u0120Inspect": 20904, "\u0120specially": 20905, "\u0120Required": 20906, "\u0120PTS": 20907, "\u0120Violence": 20908, "ointed": 20909, "shots": 20910, "\u0120excerpt": 20911, "coon": 20912, "INS": 20913, "\u0120Gri": 20914, "\u0120recognised": 20915, "Week": 20916, "Young": 20917, "\u0120vom": 20918, "isle": 20919, "\u0120Curry": 20920, "\u0120Buddh": 20921, "\u0120notebook": 20922, "\u0120durable": 20923, "/?": 20924, "\u0120Gad": 20925, "\u0120Pupp": 20926, "\u0120forgive": 20927, "park": 20928, "\u0120personalities": 20929, "analysis": 20930, "clamation": 20931, "\u0120elevator": 20932, "\u0120warehouse": 20933, "\u0120Role": 20934, "unn": 20935, "\u0120illustration": 20936, "\u0120Scan": 20937, "\u0120atmospheric": 20938, "Import": 20939, "ANC": 20940, "ricted": 20941, "fu": 20942, "010": 20943, "\u0120arche": 20944, "\u0120rewarded": 20945, "akespeare": 20946, "\u0120internally": 20947, "\u0120RBI": 20948, "alker": 20949, "\u0120elephant": 20950, "owitz": 20951, "\u0120Pizza": 20952, "\u0120bipartisan": 20953, "\u00c3\u00a9s": 20954, "\u0120slowed": 20955, "\u0120Stark": 20956, "\u0120override": 20957, "OUS": 20958, "\u0120320": 20959, "undreds": 20960, "\u0120Deck": 20961, "\u0120Census": 20962, "bee": 20963, "146": 20964, "otor": 20965, "\u0120ip": 20966, "\u0120ub": 20967, "ocations": 20968, "\u0120Button": 20969, "rice": 20970, "\u0120cripp": 20971, "fff": 20972, "\u0120originated": 20973, "\u0120overwhelmed": 20974, "appa": 20975, "\u0120foremost": 20976, "\u00e2\u0122\u0133": 20977, "\u0120LEG": 20978, "release": 20979, "eatured": 20980, "atches": 20981, "\u0120reps": 20982, "\u0120lending": 20983, "\u0120Reference": 20984, "\u0120Client": 20985, "165": 20986, "venth": 20987, "Complete": 20988, "\u0120Patrol": 20989, "\u0120sworn": 20990, "cam": 20991, "\u0120shuttle": 20992, "\u0120Ralph": 20993, "\u0120hometown": 20994, "-,": 20995, "onal": 20996, "\u0120BP": 20997, "\u00e5\u0131": 20998, "\u0120persuade": 20999, "\u0120Alexand": 21000, "\u0120combines": 21001, "\u0120vivid": 21002, "\u0120Lag": 21003, "\u0120encoding": 21004, "\u0120salvation": 21005, "wen": 21006, "\u0120Recovery": 21007, "iya": 21008, "University": 21009, "\u0120Biden": 21010, "\u0120budgets": 21011, "\u0120Texans": 21012, "fits": 21013, "\u0120honored": 21014, "\u0120python": 21015, "TD": 21016, "###": 21017, "clone": 21018, "\u0120blink": 21019, "\u0120Liquid": 21020, "\u0120unemployed": 21021, "\u0120clashes": 21022, "\u0120Counsel": 21023, "\u0120directing": 21024, "\u0120punct": 21025, "\u0120Falcons": 21026, "\u0120shark": 21027, "\u0120Damascus": 21028, "\u0120jeans": 21029, "\u0120embark": 21030, "\u0120seize": 21031, "\u0120upwards": 21032, "280": 21033, "\u0120Ez": 21034, "\u0120Anything": 21035, "\u0120exotic": 21036, "lower": 21037, "\u0120Creator": 21038, "\u0120Um": 21039, "\u0120suburbs": 21040, "berger": 21041, "\u0120Wend": 21042, "\u0120mint": 21043, "\u0120XX": 21044, "\u0120Dro": 21045, "\u0120suffers": 21046, "\u0120herb": 21047, "tree": 21048, "\u0120fragile": 21049, "\u0120flooded": 21050, "\u0120Alcohol": 21051, "olean": 21052, "nyder": 21053, "\u0120KO": 21054, "Fram": 21055, "\u0120136": 21056, "\u0120owed": 21057, "\u0120Melee": 21058, "\u0120Hash": 21059, "\u0120whisk": 21060, "\u0120sudo": 21061, "rr": 21062, "Quick": 21063, "appro": 21064, "\u0120ii": 21065, "\u0120Examples": 21066, "hee": 21067, "\u0120promotes": 21068, "perature": 21069, "kar": 21070, "\u0120Honor": 21071, "\u0120sodium": 21072, "\u0120Lif": 21073, "rosso": 21074, "intendent": 21075, "\u0120correspondent": 21076, "Found": 21077, "secret": 21078, "\u0120identifies": 21079, "agne": 21080, "\u0120lou": 21081, "\u0120PP": 21082, "\u0120coincidence": 21083, "move": 21084, "\u0120militia": 21085, "\u0120infiltr": 21086, "\u0120Primary": 21087, "\u0120pitching": 21088, "\u0120Ib": 21089, "\u0120GOOD": 21090, "\u00e3\u0124\u00b8": 21091, "\u0120Wizards": 21092, "iral": 21093, "\u0120Venus": 21094, "RR": 21095, "\u0120\u00e2\u0122\u0137": 21096, "\u0120Casey": 21097, "\u0120sadly": 21098, "\u0120admire": 21099, "\u0120embarrassed": 21100, "cb": 21101, "Mel": 21102, "\u0120tubes": 21103, "\u0120beautifully": 21104, "\u0120Queensland": 21105, "Below": 21106, "rez": 21107, "quet": 21108, "pleasant": 21109, "\u0120\u00c2\u00ab": 21110, "Camp": 21111, "\u0120decisive": 21112, "1998": 21113, "\u0120Lamb": 21114, "utton": 21115, "hn": 21116, "\u0120Jagu": 21117, "aunder": 21118, "\u0120Cord": 21119, "\u0120clerk": 21120, "\u0120caffe": 21121, "\u0120wiped": 21122, "\u0120reim": 21123, "\u0120Mountains": 21124, "\u0120imprisoned": 21125, "\u0120develops": 21126, "\u0120Pra": 21127, "\u0120modeling": 21128, "Anyone": 21129, "ancel": 21130, "\u0120Sit": 21131, "\u0120shields": 21132, "\u0120lawn": 21133, "\u0120cardiovascular": 21134, "\u0120demonstrating": 21135, "\u0120parse": 21136, "\u0120Israelis": 21137, "\u0120euros": 21138, "143": 21139, "\u0120glorious": 21140, "inski": 21141, "ecd": 21142, "\u0120conditioning": 21143, "\u0120helpless": 21144, "\u0120microsc": 21145, "\u0120Harbor": 21146, "\u0120stakes": 21147, "\u0120260": 21148, "\u0120unequ": 21149, "\u0120Floyd": 21150, "\u0120damp": 21151, "\u0120apparatus": 21152, "\u0120Laws": 21153, "\u0120counters": 21154, "\u0120induce": 21155, "atable": 21156, "\u0120Ahmed": 21157, "\u0120slam": 21158, "November": 21159, "\u0120persist": 21160, "\u0120imminent": 21161, "\u00c3\u00a1n": 21162, "\u0120shred": 21163, "\u0120phases": 21164, "\u0120Edmonton": 21165, "\u0120Armstrong": 21166, "\u0120Meet": 21167, "\u0120Kitty": 21168, "\u00d1\u0122": 21169, "circ": 21170, "\u0120Adult": 21171, "\u0120arose": 21172, "\u0120Xen": 21173, "Dan": 21174, "gow": 21175, "\u0120superf": 21176, "\u0120Admir": 21177, "\u0120endure": 21178, "\u0120keyword": 21179, "yrus": 21180, "\u0120yarn": 21181, "\u0120pathway": 21182, "\u0120Hopkins": 21183, "midt": 21184, "\u0120censorship": 21185, "dependent": 21186, "\u0120instructor": 21187, "Sources": 21188, "\u0120toe": 21189, "\u0120balloon": 21190, "Nob": 21191, "\u0120swear": 21192, "\u0120Castro": 21193, "\u0120gloss": 21194, "\u0120Kavanaugh": 21195, "\u0120remarkably": 21196, "Photos": 21197, "\u0120Nom": 21198, "\u0120Southeast": 21199, "yers": 21200, "\u0120validation": 21201, "\u0120cannon": 21202, "\u0120Victory": 21203, "\u0120Pierre": 21204, "\u0120cautious": 21205, "Audio": 21206, "\u0120fetch": 21207, "\u0120Gift": 21208, "\u0120Hyp": 21209, "\u0120remedy": 21210, "ZE": 21211, "\u0120scent": 21212, "\u0120beard": 21213, "\u0120Rut": 21214, "-\"": 21215, "\u0120patents": 21216, "Hy": 21217, "\u0120unjust": 21218, "\u0120potato": 21219, "\u0120forthcoming": 21220, "\u0120chef": 21221, "\u0120Rift": 21222, "affe": 21223, "\u0120ROM": 21224, "\u0120Launch": 21225, "\u0120pads": 21226, "\u0120Neo": 21227, "\u0120onset": 21228, "\u0120squeeze": 21229, "safe": 21230, "\u0120prefix": 21231, "\u0120TM": 21232, "\u0120Nearly": 21233, "\u0120Clinical": 21234, "\u0120Mental": 21235, "otiation": 21236, "\u0120Unic": 21237, "antry": 21238, "\u0120Cir": 21239, "\u0120epit": 21240, "\u00c3\u00a6": 21241, "\u0120extracted": 21242, "versely": 21243, "riad": 21244, "\u0120strains": 21245, "\u0120tops": 21246, "\u0120poem": 21247, "\u0120Randy": 21248, "\u0120Maple": 21249, "THER": 21250, "upiter": 21251, "\u0120SSD": 21252, "\u013c\u00e9": 21253, "\u0120uncon": 21254, "pering": 21255, "\u0120slept": 21256, "iners": 21257, "\u0120underwater": 21258, "\u0120Evidence": 21259, "gone": 21260, "205": 21261, "\u0120historians": 21262, "\u0120synthesis": 21263, "\u0120frog": 21264, "basketball": 21265, "\u0120vibrant": 21266, "\u0120subord": 21267, "\u0120365": 21268, "\u0120Dial": 21269, "\u0120cooperate": 21270, "HAHA": 21271, "\u0120greeted": 21272, "158": 21273, "\u0120jazz": 21274, "\u0120intox": 21275, "\u0120Walking": 21276, "\u0120supervisor": 21277, "\u0120Fusion": 21278, "\u0120Mercedes": 21279, "send": 21280, "Ham": 21281, "sd": 21282, "nl": 21283, "\u0120tours": 21284, "\u0120FIFA": 21285, "\u0120culp": 21286, "gd": 21287, "304": 21288, "\u0120pleas": 21289, "\u0120illustrates": 21290, "\u0120Colombia": 21291, "\u0120highlighting": 21292, "\u0120Summary": 21293, "\u0120exposing": 21294, "\u0120Dru": 21295, "\u0120irony": 21296, "ritional": 21297, "\u0120Carroll": 21298, "\u0120Ellis": 21299, "Pict": 21300, "\u0120Rapt": 21301, "\u0120adapter": 21302, "\u0120unm": 21303, "\u0120corpse": 21304, "\u0120celebrities": 21305, "Den": 21306, "atum": 21307, "\u0120Apocalypse": 21308, "\u0120Wag": 21309, "lining": 21310, "\u0120hormones": 21311, "Rub": 21312, "\u0120Xi": 21313, "\u0120Vaults": 21314, "208": 21315, "alkyrie": 21316, "inosaur": 21317, "\u0120feeds": 21318, "vity": 21319, "\u0120defeating": 21320, "Wait": 21321, "\u0120emphasize": 21322, "\u0120Steelers": 21323, "yrinth": 21324, "leys": 21325, "\u0120Whenever": 21326, "Currently": 21327, "\u0120Clock": 21328, "\u0120collectively": 21329, "anyon": 21330, "\u0120JP": 21331, "\u0120mentality": 21332, "\u0120downloads": 21333, "\u0120surroundings": 21334, "\u0120Barnes": 21335, "\u0120flagship": 21336, "\u0120indicators": 21337, "\u0120grapp": 21338, "January": 21339, "\u0120Elemental": 21340, "\u0120Athena": 21341, "ibal": 21342, "\u0120sights": 21343, "\u0120capita": 21344, "\u0120Treaty": 21345, "\u0120voiced": 21346, "\u0120Gaz": 21347, "lette": 21348, "\u0120ya": 21349, "\u0120expired": 21350, "Legend": 21351, "Hot": 21352, "nature": 21353, "\u0120unstable": 21354, "\u0120280": 21355, "\u00c3\u00ba": 21356, "Comment": 21357, "ALE": 21358, "\u0120quests": 21359, "\u0120handler": 21360, "nis": 21361, "\u0120versatile": 21362, "\u0120conceal": 21363, "engeance": 21364, "\u0120Interactive": 21365, "\u0120obsessed": 21366, "\u0120Dogs": 21367, "\u0120cracked": 21368, "Sound": 21369, "sv": 21370, "\u0120Dylan": 21371, "roads": 21372, "fx": 21373, "\u0120Catholics": 21374, "\u0120Hag": 21375, "\u0120slammed": 21376, "\u0120glowing": 21377, "sale": 21378, "\u0120tissues": 21379, "\u0120Chi": 21380, "nee": 21381, "\u0120cher": 21382, "sic": 21383, "urrection": 21384, "\u0120bacon": 21385, "ulatory": 21386, ").\"": 21387, "\u0120irregular": 21388, "FORM": 21389, "assed": 21390, "\u0120intentional": 21391, "\u0120compensate": 21392, "\u0120Speaking": 21393, "\u0120Sets": 21394, "153": 21395, "\u0120conventions": 21396, "bands": 21397, "emade": 21398, "\u0120ecc": 21399, "\u0120Winston": 21400, "\u0120Assassin": 21401, "\u0120Belgian": 21402, "\u0120dependence": 21403, "\u0120niche": 21404, "\u0120bark": 21405, "\u0120Jazz": 21406, "\u0120disadvantage": 21407, "\u0120gasoline": 21408, "\u0120165": 21409, "\u00e7\u013c\u0126": 21410, "essa": 21411, "module": 21412, "angular": 21413, "OY": 21414, "\u0120Treatment": 21415, "itas": 21416, "olation": 21417, "\u0120Arnold": 21418, "\u0120feud": 21419, "\u0120Nest": 21420, "\u0120theatre": 21421, "ewater": 21422, "\u0120minors": 21423, "olicy": 21424, "\u0120Haven": 21425, "division": 21426, "\u0120trunk": 21427, "Far": 21428, "\u0120Pull": 21429, "\u0120capturing": 21430, "\u01201800": 21431, "\u0120Teen": 21432, "\u0120exempl": 21433, "\u0120clinics": 21434, "\u0120Burg": 21435, "\u0120substit": 21436, "\u0120payload": 21437, "\u0120Lav": 21438, "\u0120Troy": 21439, "\u0120Witness": 21440, "\u0120fragments": 21441, "\u0120passwords": 21442, "\u0120gospel": 21443, "\u0120Gin": 21444, "\u0120tenants": 21445, "olith": 21446, "Six": 21447, "Previous": 21448, "\u0120Ages": 21449, "\u0120Darwin": 21450, "\u0120blat": 21451, "\u0120empathy": 21452, "smith": 21453, "bag": 21454, "\u0120Echo": 21455, "\u0120Camb": 21456, "\u0120Madd": 21457, "\u0120Boo": 21458, "\u0120rede": 21459, "\u0120Burning": 21460, "\u0120smoothly": 21461, "\u0120Adrian": 21462, "\u0120Vampire": 21463, "\u0120Monsters": 21464, "steam": 21465, "Style": 21466, "Ma": 21467, "rea": 21468, "\u0120Dwar": 21469, "alyst": 21470, "ursor": 21471, "\u0120elimination": 21472, "\u0120crypto": 21473, "cht": 21474, "\u0120Eternal": 21475, "\u00e2\u0122\u00a6]": 21476, "\u0120Sorce": 21477, "Ill": 21478, "NER": 21479, "\u0120uh": 21480, "Conclusion": 21481, "wage": 21482, "\u0120respir": 21483, "\u0120reminis": 21484, "hetical": 21485, "\u0120gy": 21486, "\u0120utilized": 21487, "icidal": 21488, "\u01201900": 21489, "\u0120hunters": 21490, "\u0120Swan": 21491, "\u0120React": 21492, "\u0120visitor": 21493, "\u0120Thanksgiving": 21494, "308": 21495, "Posts": 21496, "\u0120hips": 21497, "1997": 21498, "omers": 21499, "\u0120knocking": 21500, "\u0120Vehicle": 21501, "\u0120til": 21502, "\u0120138": 21503, "\u0120mi": 21504, "\u0120Investigation": 21505, "\u0120Kenya": 21506, "\u0120casino": 21507, "\u0120motives": 21508, "\u0120regain": 21509, "rex": 21510, "\u0120weekends": 21511, "\u0120stabbed": 21512, "boro": 21513, "\u0120exploited": 21514, "\u0120HAVE": 21515, "\u0120Television": 21516, "cock": 21517, "\u0120preparations": 21518, "\u0120endeav": 21519, "\u0120Remote": 21520, "\u0120Maker": 21521, "\u0120Produ": 21522, "\u0120Evan": 21523, "\u0120informational": 21524, "\u0120Louisville": 21525, "154": 21526, "\u0120Dreams": 21527, "\u0120plots": 21528, "\u0120Runner": 21529, "\u0120hurting": 21530, "\u0120academy": 21531, "\u0120Montgomery": 21532, "nm": 21533, "\u0120Lanc": 21534, "\u0120Alz": 21535, "210": 21536, "elong": 21537, "\u0120retailer": 21538, "\u0120arising": 21539, "\u0120rebellion": 21540, "\u0120blonde": 21541, "played": 21542, "\u0120instrumental": 21543, "Cross": 21544, "\u0120retention": 21545, "\u0120therapeutic": 21546, "\u0120seas": 21547, "\u0120infantry": 21548, "\u0120Clint": 21549, "\u0120prompting": 21550, "\u0120bitch": 21551, "\u0120stems": 21552, "\u0120Kra": 21553, "\u0120thesis": 21554, "\u0120Bog": 21555, "rued": 21556, "\u0120kings": 21557, "\u0120clay": 21558, "ificent": 21559, "\u0120YES": 21560, "\u0120Thing": 21561, "\u0120Cubs": 21562, "veyard": 21563, "elsh": 21564, "inarily": 21565, "\u0120Ey": 21566, "\u0120Rolling": 21567, "\u0120evolving": 21568, "India": 21569, "\u0120recognizes": 21570, "\u0120graduation": 21571, "isers": 21572, "\u0120fertility": 21573, "\u0120Milan": 21574, "Command": 21575, "\u0120boxing": 21576, "\u01201943": 21577, "\u0120gluten": 21578, "\u0120Emir": 21579, "\u0120idol": 21580, "\u0120conceived": 21581, "\u0120Creation": 21582, "Merit": 21583, "uddy": 21584, "ussions": 21585, "\u0120Lieutenant": 21586, "ietal": 21587, "\u0120unchanged": 21588, "\u0120Scale": 21589, "\u0120Crimea": 21590, "balls": 21591, "atorial": 21592, "\u0120depths": 21593, "\u0120empirical": 21594, "\u0120transm": 21595, "\u0120unsafe": 21596, "missible": 21597, "comfort": 21598, "156": 21599, "\u0120mechanic": 21600, "002": 21601, "lins": 21602, "\u0120smoked": 21603, "Pos": 21604, "\u0120slowing": 21605, "\u0120lav": 21606, "Texas": 21607, "\u0120cheating": 21608, "\u0120Metropolitan": 21609, "ethyl": 21610, "\u0120discovering": 21611, "asse": 21612, "\u0120pencil": 21613, "\u0120Pyongyang": 21614, "\u0120closet": 21615, "\u0120Sheet": 21616, "\u0120Entry": 21617, "oustic": 21618, "\u0120myst": 21619, "erate": 21620, "ariat": 21621, "\u0120minerals": 21622, "\u0120musician": 21623, "\u0120Pul": 21624, "\u0120Maz": 21625, "249": 21626, "\u0120permissions": 21627, "\u0120iv": 21628, "enary": 21629, "ickers": 21630, "\u0120Bing": 21631, "hea": 21632, "enable": 21633, "\u0120griev": 21634, "\u0120asserted": 21635, "\u0120Colonel": 21636, "\u0120affidav": 21637, "wo": 21638, "\u0120seated": 21639, "\u0120Ride": 21640, "\u0120paintings": 21641, "\u0120Pix": 21642, "\u0120137": 21643, "ishi": 21644, "umbai": 21645, "gotten": 21646, "\u0120Earl": 21647, "\u0120inning": 21648, "\u0120census": 21649, "\u0120travelled": 21650, "\u0120Consult": 21651, "185": 21652, "bind": 21653, "\u0120simplicity": 21654, "\u0120overlooked": 21655, "\u0120Helpful": 21656, "\u0120monkey": 21657, "\u0120overwhelmingly": 21658, "Blood": 21659, "\u0120Flint": 21660, "\u0120Jama": 21661, "\u0120Present": 21662, "\u0120Rage": 21663, "\u0120TA": 21664, "ptive": 21665, "\u0120turnout": 21666, "wald": 21667, "\u0120Dolphins": 21668, "\u0120VPN": 21669, "\u0120onion": 21670, "\u0120crafting": 21671, "mma": 21672, "\u0120Mercury": 21673, "\u0120arrange": 21674, "\u0120alerts": 21675, "\u0120OT": 21676, "zbollah": 21677, "\u0120gases": 21678, "\u0120Richardson": 21679, "sal": 21680, "lar": 21681, "\u0120frost": 21682, "\u0120lowering": 21683, "\u0120acclaim": 21684, "\u0120startups": 21685, "\u0120Gain": 21686, "essment": 21687, "\u0120guardian": 21688, "\u00e4\u00ba\u00ba": 21689, "\u0120Pie": 21690, "\u0120Links": 21691, "\u0120merits": 21692, "\u0120awake": 21693, "\u0120parental": 21694, "\u0120exceeds": 21695, "\u0120idle": 21696, "\u0120Pilot": 21697, "\u0120eBay": 21698, "\u0120Accept": 21699, "ipeg": 21700, "Cam": 21701, "\u0120Kot": 21702, "\u0120traders": 21703, "olitics": 21704, "unker": 21705, "\u0120Pale": 21706, "osi": 21707, "anmar": 21708, "\u01201947": 21709, "\u0120Fell": 21710, "estial": 21711, "itating": 21712, "GF": 21713, "\u0120Sr": 21714, "ifted": 21715, "\u0120connector": 21716, "\u0120Bone": 21717, "illes": 21718, "260": 21719, "hma": 21720, "\u0120overlap": 21721, "\u0120GitHub": 21722, "\u0120cleaner": 21723, "\u0120Baptist": 21724, "\u0120WAS": 21725, "\u0120lungs": 21726, "\u00d1\u0123": 21727, "\u0120BUT": 21728, "\u0120cite": 21729, "\u0120pitched": 21730, "reatment": 21731, "\u0120trophies": 21732, "\u0120Nu": 21733, "386": 21734, "\u0120Pride": 21735, "\u0120attendees": 21736, "[]": 21737, "179": 21738, "\u0120spatial": 21739, "\u0120prizes": 21740, "\u0120Religion": 21741, "\u0120showcase": 21742, "\u0120Category": 21743, "vidia": 21744, "Target": 21745, "Property": 21746, "?,": 21747, "\u0120fusion": 21748, "pie": 21749, "\u0120UCLA": 21750, "\u0120soundtrack": 21751, "\u0120princess": 21752, "\u0120Caval": 21753, "should": 21754, "\u0120limbs": 21755, "Background": 21756, "\u0120lonely": 21757, "\u0120cores": 21758, "\u0120Tail": 21759, "sheet": 21760, "\u0120132": 21761, "Ra": 21762, "\u00e3\u0124\u00ab": 21763, "\u0120Bolt": 21764, "\u0120booked": 21765, "\u0120administer": 21766, "\u0120equals": 21767, "wy": 21768, "\u0120observing": 21769, "\u0120Baron": 21770, "\u0120Adobe": 21771, "\u0120virgin": 21772, "\u0120Socialist": 21773, "Move": 21774, "ghazi": 21775, "\u0120Linda": 21776, "212": 21777, "\u0120brewing": 21778, "\u0120merchants": 21779, "burse": 21780, "\u0120divor": 21781, "\u0120metals": 21782, "\u0120Ner": 21783, "\u0120sums": 21784, "\u0120Enemy": 21785, "\u0120envision": 21786, "\u0120granting": 21787, "\u0120Honey": 21788, "\u0120Skyrim": 21789, "\u0120socio": 21790, "graded": 21791, "\u0120selective": 21792, "WASHINGTON": 21793, "\u01201948": 21794, "\u0120Sirius": 21795, "\u0120Gross": 21796, "activity": 21797, "\u0120Ivan": 21798, "\u0120furious": 21799, "BSD": 21800, "\u0120Previous": 21801, "\u0120responsive": 21802, "\u0120charitable": 21803, "\u0120leaning": 21804, "\u0120Pew": 21805, "\u0120violates": 21806, "\\\\\\\\\\\\\\\\": 21807, "\u0120Coming": 21808, "wire": 21809, "\u0120poet": 21810, "\u0120resolutions": 21811, "command": 21812, "\u0120Portuguese": 21813, "\u0120nickname": 21814, "\u0120deaf": 21815, "February": 21816, "\u0120recognise": 21817, "\u0120entirety": 21818, "\u0120seasonal": 21819, "placed": 21820, "\u0120Telegraph": 21821, "\u0120microphone": 21822, "ouring": 21823, "\u0120grains": 21824, "\u0120governed": 21825, "\u0120postp": 21826, "\u0120Waters": 21827, "inement": 21828, "\u0120undocumented": 21829, "\u0120Comcast": 21830, "\u0120fox": 21831, "\u0120assaults": 21832, "reon": 21833, "many": 21834, "\u0120Jenkins": 21835, "\u0120Anyway": 21836, "\u0120assessments": 21837, "\u0120downs": 21838, "\u0120Mouse": 21839, "\u0120superb": 21840, "kt": 21841, "\u0120Dow": 21842, "\u0120taxation": 21843, "401": 21844, "\u0120smiles": 21845, "\u0120undertaken": 21846, "\u0120exh": 21847, "\u0120enthusiastic": 21848, "\u0120twent": 21849, "\u0120governmental": 21850, "\u0120autonomy": 21851, "\u0120Technologies": 21852, "\u0120Chain": 21853, "\u0120prevalent": 21854, "fb": 21855, "\u0120nicotine": 21856, "ogram": 21857, "job": 21858, "\u0120awaiting": 21859, "\u0120Menu": 21860, "\u0120deputies": 21861, "kov": 21862, "ishops": 21863, "Button": 21864, "\u0120Shanghai": 21865, "\u0120diesel": 21866, "\u0120Duck": 21867, "Ryan": 21868, "\u0120PCs": 21869, "NF": 21870, "jury": 21871, "ente": 21872, "\u0120inaccurate": 21873, "eddy": 21874, "Whatever": 21875, "\u0120showc": 21876, "\u0120Nad": 21877, "odus": 21878, "etr": 21879, "\u0120plaintiffs": 21880, "\u0120WOR": 21881, "\u0120Assange": 21882, "\u0120privat": 21883, "\u0120premiums": 21884, "\u0120tam": 21885, "URL": 21886, "\u0120elites": 21887, "\u0120Ranger": 21888, "ottenham": 21889, "\u0120Hoff": 21890, "\u0120Athens": 21891, "\u0120definite": 21892, "\u0120sighed": 21893, "\u0120evenly": 21894, "211": 21895, "\u0120Amber": 21896, "akia": 21897, "\u0120mailing": 21898, "\u0120crashing": 21899, "\u0120Confederate": 21900, "rugged": 21901, "Wal": 21902, "\u0120Depths": 21903, "\u0120juvenile": 21904, "\u0120reactor": 21905, "Introduction": 21906, "\u0120Deluxe": 21907, "1995": 21908, "\u0120Sanchez": 21909, "\u0120Mead": 21910, "ivable": 21911, ":-": 21912, "\u0120Planning": 21913, "\u0120Trap": 21914, "quin": 21915, "\u0120Protect": 21916, "vered": 21917, "Information": 21918, "\u0120kidney": 21919, "innamon": 21920, "las": 21921, "\u0120policing": 21922, "\u0120tolerate": 21923, "\u0120Qi": 21924, "\u0120biased": 21925, "Fort": 21926, "\u0120Ki": 21927, "save": 21928, "\u0120privileged": 21929, "\u0120beasts": 21930, "\u0120Glas": 21931, "\u0120Cinem": 21932, "\u0120comeback": 21933, "Sunday": 21934, "\u0120extinction": 21935, "hops": 21936, "\u0120transmit": 21937, "\u0120doubles": 21938, "\u0120Flat": 21939, "167": 21940, 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"gay": 22744, "207": 22745, "\u0120rabbit": 22746, "Third": 22747, "owntown": 22748, "\u0120glue": 22749, "\u0120volatile": 22750, "\u0120shining": 22751, "\u0120foll": 22752, "\u0120impaired": 22753, "\u0120supers": 22754, "\u00e6\u012a": 22755, "\u0120clutch": 22756, "\u013c\u00e9\u0128\u0134": 22757, "\u0120prolet": 22758, "\u0120(!": 22759, "\u0120yelled": 22760, "\u0120Kiev": 22761, "\u0120Ern": 22762, "\u0120Shock": 22763, "KB": 22764, "\u0120situated": 22765, "query": 22766, "\u0120Nas": 22767, "\u0120annex": 22768, "character": 22769, "\u0120Holiday": 22770, "\u0120automation": 22771, "\u0120Jill": 22772, "\u0120Remastered": 22773, "\u0120linem": 22774, "\u0120wilderness": 22775, "\u0120Horizon": 22776, "\u0120Guinea": 22777, "AZ": 22778, "\u0120mainland": 22779, "\u0120secrecy": 22780, "LEASE": 22781, "\u0120punk": 22782, "\u0120Province": 22783, "(),": 22784, "Speed": 22785, "\u0120handing": 22786, "\u0120Sebast": 22787, "Sir": 22788, "rase": 22789, "\u0120journals": 22790, "\u0120congest": 22791, "\u0120Tut": 22792, "irrel": 22793, "\u0120schizophrenia": 22794, "\u0120misogyn": 22795, "healthy": 22796, "Iron": 22797, "\u0120reacted": 22798, "-$": 22799, "252": 22800, "\u0120plural": 22801, "\u0120plum": 22802, "\u0120bargain": 22803, "\u0120grounded": 22804, "finder": 22805, "\u0120disse": 22806, "\u0120Laz": 22807, "OOD": 22808, "\u0120atroc": 22809, "Factory": 22810, "\u0120minions": 22811, "\u0120ori": 22812, "\u0120Brave": 22813, "\u0120PRE": 22814, "\u0120Myanmar": 22815, "\u0120Hod": 22816, "\u0120expedition": 22817, "\u0120explode": 22818, "\u0120Coord": 22819, "\u0120extr": 22820, "\u0120Brief": 22821, "\u0120ADHD": 22822, "\u0120hardcore": 22823, "feeding": 22824, "\u0120dile": 22825, "\u0120Fruit": 22826, "\u0120vaccination": 22827, "\u0120Mao": 22828, "osphere": 22829, "\u0120contests": 22830, "-|": 22831, "\u0120fren": 22832, "isphere": 22833, "Rom": 22834, "\u0120Sharp": 22835, "\u0120Trend": 22836, "\u0120disconnect": 22837, "\u00e2\u0122\u00a2\u00e2\u0122\u00a2": 22838, "\u0120persecution": 22839, "Earth": 22840, "\u0120healthier": 22841, "384": 22842, "\u0120cob": 22843, "\u0120Trinity": 22844, "OWS": 22845, "ANN": 22846, "\u0120specialty": 22847, "\u0120gru": 22848, "\u0120cooperative": 22849, "why": 22850, "Starting": 22851, "\u0120Issues": 22852, "stre": 22853, "ensor": 22854, "\u0120185": 22855, "Adv": 22856, "!?": 22857, "\u0120Revel": 22858, "emia": 22859, "\u0120Hulk": 22860, "\u0120celebrations": 22861, "\u0120Sou": 22862, "raud": 22863, "\u0120Klein": 22864, "\u0120unreal": 22865, "context": 22866, "\u0120partnerships": 22867, "\u0120adopting": 22868, "tical": 22869, "\u0120splash": 22870, "\u0120Hezbollah": 22871, "category": 22872, "cyclop": 22873, "xton": 22874, "\u0120Dot": 22875, "urdy": 22876, "tz": 22877, "\u0120envelope": 22878, "\u0120NL": 22879, "\u00e2\u0137": 22880, "\u0120wherein": 22881, "Spec": 22882, "184": 22883, "\u0120telev": 22884, "aliation": 22885, "\u0120myths": 22886, "\u00e5\u00b0": 22887, "\u0120rigorous": 22888, "\u0120communicating": 22889, "\u0120observer": 22890, "\u0120rehe": 22891, "\u0120Wash": 22892, "\u0120apologized": 22893, "\u0120Tin": 22894, "\u0120expenditures": 22895, "workers": 22896, "document": 22897, "\u0120hesitate": 22898, "\u0120Lenin": 22899, "\u0120unpredictable": 22900, "\u0120renewal": 22901, "cler": 22902, "okia": 22903, "\u0120CONT": 22904, "\u0120postseason": 22905, "Tokens": 22906, "\u0120exacerb": 22907, "\u0120betting": 22908, "\u0120147": 22909, "\u0120elevation": 22910, "Wood": 22911, "\u0120Solomon": 22912, "194": 22913, "004": 22914, "output": 22915, "\u0120redund": 22916, "\u0120Mumbai": 22917, "\u0120pH": 22918, "\u0120reproduce": 22919, "\u0120Duration": 22920, "MAX": 22921, "\u0120bog": 22922, "CBS": 22923, "\u0120Balance": 22924, "\u0120Sgt": 22925, "\u0120Recent": 22926, "\u0120cd": 22927, "\u0120popped": 22928, "\u0120incompet": 22929, "prop": 22930, "ayan": 22931, "guy": 22932, "Pacific": 22933, "\u0120tyr": 22934, "\u0120{{": 22935, "\u0120Mystic": 22936, "\u0120Dana": 22937, "\u0120masturb": 22938, "\u0120geometry": 22939, "\u00c3\u00a2": 22940, "\u0120Correct": 22941, "\u0120trajectory": 22942, "\u0120distracted": 22943, "\u0120foo": 22944, "\u0120Welsh": 22945, "Luc": 22946, "mith": 22947, "\u0120rugby": 22948, "\u0120respiratory": 22949, "\u0120triangle": 22950, "\u0120215": 22951, "\u0120undergraduate": 22952, "\u0120Superior": 22953, "changing": 22954, "_-": 22955, "\u0120rightly": 22956, "\u0120referee": 22957, "\u0120lucrative": 22958, "\u0120unauthorized": 22959, "\u0120resembles": 22960, "\u0120GNU": 22961, "\u0120Derby": 22962, "\u0120pathways": 22963, "\u0120Led": 22964, "\u0120endurance": 22965, "\u0120stint": 22966, "\u0120collector": 22967, "Fast": 22968, "\u0120dots": 22969, "\u0120nationals": 22970, "\u0120Securities": 22971, "\u0120whip": 22972, "Param": 22973, "\u0120learns": 22974, "Magic": 22975, "\u0120detailing": 22976, "moon": 22977, "\u0120broadcasting": 22978, "\u0120baked": 22979, "265": 22980, "holm": 22981, "\u0120Sah": 22982, "\u0120Hussein": 22983, "\u0120Courtesy": 22984, "174": 22985, "\u0120146": 22986, "\u0120geographic": 22987, "peace": 22988, "\u0120judging": 22989, "\u0120Stern": 22990, "Bur": 22991, "\u0120storyline": 22992, "Gun": 22993, "\u0120Stick": 22994, "245": 22995, "307": 22996, "\u00e3\u0124\u00b4\u00e3\u0125\u00b3": 22997, "\u0120Administrator": 22998, "\u0120burnt": 22999, "\u0120pave": 23000, "choes": 23001, "Exec": 23002, "\u0120campuses": 23003, "Result": 23004, "\u0120mutations": 23005, "\u0120Charter": 23006, "\u0120captures": 23007, "\u0120compares": 23008, "\u0120badge": 23009, "Scient": 23010, "\u0120erad": 23011, "iery": 23012, "oi": 23013, "ettes": 23014, "\u0120Estate": 23015, "\u0120strap": 23016, "\u0120proudly": 23017, "\u0120fried": 23018, "\u0120withdrawn": 23019, "\u0120Voy": 23020, "phony": 23021, "Items": 23022, "\u0120Pierce": 23023, "bard": 23024, "\u0120annotation": 23025, "anton": 23026, "illon": 23027, "Impro": 23028, "...)": 23029, "\u0120happier": 23030, "------": 23031, "adjust": 23032, "\u0120staffers": 23033, "\u0120activism": 23034, "\u0120perf": 23035, "\u0120alright": 23036, "Need": 23037, "\u0120commence": 23038, "\u0120opioid": 23039, "\u0120Amanda": 23040, "Es": 23041, "\u0120Pars": 23042, "\u0120Kaw": 23043, "Works": 23044, "248": 23045, "\u0120indo": 23046, "tc": 23047, "endant": 23048, "\u0120Moto": 23049, "\u0120legalization": 23050, "OTE": 23051, "\u0120tasked": 23052, "\u0120tsp": 23053, "\u0120ACTIONS": 23054, "166": 23055, "\u0120refreshing": 23056, "\u0120NR": 23057, "\u0120Perez": 23058, "\u0120infringement": 23059, "SY": 23060, "Listen": 23061, "inning": 23062, "ku": 23063, "\u0120rotate": 23064, "program": 23065, "arah": 23066, "Design": 23067, "\u0120(\u00c2\u00a3": 23068, "\u0120storing": 23069, "\u0120warrants": 23070, "\u0120judgement": 23071, "\u0120Brist": 23072, "usually": 23073, "photo": 23074, "\u0120Ran": 23075, "\u0120Pine": 23076, "\u0120outrageous": 23077, "\u0120Valentine": 23078, "luence": 23079, "\u0120Everybody": 23080, "Altern": 23081, "\u0120relevance": 23082, "\u0120terminated": 23083, "\u0120dessert": 23084, "\u0120fulfilled": 23085, "\u0120prosecuted": 23086, "\u0120Words": 23087, "\u0120migrant": 23088, "\u0120cultivation": 23089, "\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124": 23090, "idelity": 23091, "\u0120Vern": 23092, "\u0120Login": 23093, "\u0120metaphor": 23094, "\u0120Tip": 23095, "\u0120recruits": 23096, "\u0120Pig": 23097, "ribing": 23098, "\u0120enthusiasts": 23099, "exper": 23100, "\u0120frightening": 23101, "\u0120Hair": 23102, "anson": 23103, "strate": 23104, "\u0120hi": 23105, "Height": 23106, "\u0120owning": 23107, "none": 23108, "\u0120dislike": 23109, "\u0120knives": 23110, "pherd": 23111, "\u0120loudly": 23112, "\u0120APIs": 23113, "Display": 23114, "\u0120Lac": 23115, "\u0120USS": 23116, "abl": 23117, "verages": 23118, "Jew": 23119, "\u0120172": 23120, "\u0120Historical": 23121, "atoon": 23122, "\u0120Physics": 23123, "intern": 23124, "\u0120warmth": 23125, "\u0120topp": 23126, "DM": 23127, "\u0120gunman": 23128, "\u0120emperor": 23129, "odi": 23130, "\u00e3\u0125\u00a3": 23131, "inatory": 23132, "\u0120Rib": 23133, "\u0120131": 23134, "\u0120Saturn": 23135, "\u0120Shining": 23136, "\u0120waking": 23137, "Quotes": 23138, "\u0120comedian": 23139, "enberg": 23140, "\u00c2\u00bd": 23141, "\u0120believers": 23142, "\u0120paperwork": 23143, "custom": 23144, "\u0120lev": 23145, "\u0120lament": 23146, "\u0120pouring": 23147, "222": 23148, "political": 23149, "\u0120Supplement": 23150, "maid": 23151, "\u0120cruelty": 23152, "\u0120tread": 23153, "ysics": 23154, "Aw": 23155, "rites": 23156, "\u0120modifier": 23157, "\u0120Position": 23158, "Adam": 23159, "lb": 23160, "ubs": 23161, "\u0120imperfect": 23162, "\u0120clusters": 23163, "\u0120Engineer": 23164, "\u0120Cherry": 23165, "\u0120inauguration": 23166, "\u0120Sau": 23167, "\u0120embodiment": 23168, "\u0120Uncle": 23169, "\u0120overr": 23170, "\u0120explosions": 23171, "cule": 23172, "\u0120Princeton": 23173, "\u0120Andrea": 23174, "\u0120incorrectly": 23175, "\u0120earnest": 23176, "\u0120pilgr": 23177, "\u0120Sprint": 23178, "\u0120sleeve": 23179, "\u0120hears": 23180, "\u0120Amazing": 23181, "\u0120browsing": 23182, "agin": 23183, "\u0120homeland": 23184, "\u0120haw": 23185, "\u0120diving": 23186, "istered": 23187, "178": 23188, "\u0120bargaining": 23189, "\u0120Arcade": 23190, "\u0120delegate": 23191, "terson": 23192, "................................................................": 23193, "\u0120Jacksonville": 23194, "275": 23195, "\u0120stagn": 23196, "\u0120adam": 23197, "\u0120Sherman": 23198, "CB": 23199, "\u0120suburb": 23200, "\u0120Foods": 23201, "\u0120converting": 23202, "\u0120Arist": 23203, "\u0120chambers": 23204, "love": 23205, "\u0120amino": 23206, "\u0120Gan": 23207, "\u0120madness": 23208, "mc": 23209, "\u0120USE": 23210, "defined": 23211, "\u0120ultr": 23212, "indust": 23213, "\u0120wolves": 23214, "lance": 23215, "Additionally": 23216, "\u0120cracks": 23217, "asia": 23218, "\u0120Reason": 23219, "\u0120Pump": 23220, "\u0120accidental": 23221, "\u0120Laser": 23222, "\u0120Rid": 23223, "\u0120initialized": 23224, "elli": 23225, "\u0120unnamed": 23226, "\u0120noun": 23227, "\u0120Passed": 23228, "\u0120hostage": 23229, "\u0120Ethiop": 23230, "shirts": 23231, "\u0120unrel": 23232, "\u0120Embassy": 23233, "\u01201941": 23234, "\u0120atoms": 23235, "\u0120purported": 23236, "164": 23237, "\u0120Fi": 23238, "\u0120gallons": 23239, "\u0120Monica": 23240, "\u0120pg": 23241, "enment": 23242, "\u0120sorted": 23243, "\u0120Gospel": 23244, "\u0120heights": 23245, "\u0120traced": 23246, "\u0120undergoing": 23247, "Shell": 23248, "\u0120sacks": 23249, "\u0120proportions": 23250, "\u0120halluc": 23251, "Font": 23252, "acet": 23253, "\u0120warmer": 23254, "\u0120INTER": 23255, "\u0120grabbing": 23256, "Plug": 23257, "\u0120realization": 23258, "\u0120Burke": 23259, "\u0120enchant": 23260, "ATER": 23261, "\u0120Seed": 23262, "\u0120abundant": 23263, "FM": 23264, "\u0120civic": 23265, "Vs": 23266, "isi": 23267, "\u0120vow": 23268, "\u0120reper": 23269, "\u0120Partnership": 23270, "\u0120penetration": 23271, "\u0120axe": 23272, "\u0120shattered": 23273, "\u0120Zombies": 23274, "\u0120vinyl": 23275, "\u0120Alert": 23276, "eon": 23277, "\u0120obliged": 23278, "\u0120Illust": 23279, "\u0120Plaza": 23280, "\u0120Frontier": 23281, "\u0120davidjl": 23282, "\u0120Serial": 23283, "\u0120Hav": 23284, "\u0120Nutrition": 23285, "Bi": 23286, "\u0120\u00e2\u0138\u012a": 23287, "\u0120Jays": 23288, "linux": 23289, "\u0120hurry": 23290, "\u0120voy": 23291, "\u0120hopeless": 23292, "\u0120Stealth": 23293, "\u0120\u00e3\u0123": 23294, "essors": 23295, "ttle": 23296, "borg": 23297, "\u0120Safari": 23298, "fell": 23299, "\u0120wary": 23300, "due": 23301, "\u0120Above": 23302, "Ha": 23303, "ELL": 23304, "\u0120notor": 23305, "\u0120Won": 23306, "Too": 23307, "\u0120occupations": 23308, "\u0120possessions": 23309, "\u0120inviting": 23310, "\u0120predators": 23311, "\u0120accelerated": 23312, "\u0120157": 23313, "uterte": 23314, "\u0120Cube": 23315, "east": 23316, "account": 23317, "Give": 23318, "\u0120transplant": 23319, "redients": 23320, "idable": 23321, "\u0120screenshots": 23322, "\u0120Gund": 23323, "\u0120FS": 23324, "\u0120travelers": 23325, "\u0120sensory": 23326, "\u0120Fiat": 23327, "\u0120Rockets": 23328, "\u0130\u012d": 23329, "_{": 23330, "Friend": 23331, "\u0120charming": 23332, "ALS": 23333, "\u0120enjoyment": 23334, "mph": 23335, "\u01205000": 23336, "\u0120REG": 23337, "\u00d9\u0128": 23338, "bia": 23339, "\u0120compilation": 23340, "rost": 23341, "\u0120VP": 23342, "\u0120Schne": 23343, "2019": 23344, "\u0120copying": 23345, "MORE": 23346, "\u0120Flore": 23347, "falls": 23348, "215": 23349, "total": 23350, "\u0120disciples": 23351, "double": 23352, "\u0120exceeding": 23353, "\u0120smashed": 23354, "\u0120conceptual": 23355, "\u0120Romania": 23356, "\u0120Brent": 23357, "\u0120ICE": 23358, "\u0120Tou": 23359, "\u0120grap": 23360, "\u0120nails": 23361, "189": 23362, "\u00e3\u0125\u013a": 23363, "\u0120procure": 23364, "eur": 23365, "\u0120confirming": 23366, "\u0120Cec": 23367, "awi": 23368, "\u0120Eden": 23369, "\u0120ng": 23370, "\u0120engineered": 23371, "atics": 23372, "\u0120hooked": 23373, "\u0120disgusting": 23374, "\u0120Murder": 23375, "\u00e3\u0124\u00bf": 23376, "Library": 23377, "\u0120168": 23378, "Almost": 23379, "hematic": 23380, "Menu": 23381, "\u0120Notre": 23382, "\u0120Jur": 23383, "\u0120kidnapped": 23384, "\u0120hacker": 23385, "\u0120Jade": 23386, "\u0120creepy": 23387, "\u0120drawings": 23388, "\u0120Sponsor": 23389, "\u0120cyclists": 23390, "\u0120Goblin": 23391, "\u0120optimized": 23392, "\u0120staged": 23393, "\u0120McD": 23394, "between": 23395, "Age": 23396, "eno": 23397, "Sex": 23398, "\u0120Wide": 23399, "nings": 23400, "avis": 23401, "\u0120incapable": 23402, "\u0120Kob": 23403, "\u0120rewarding": 23404, "\u0120Lone": 23405, "olescent": 23406, "\u0120contracted": 23407, "\u0120sticky": 23408, "Jose": 23409, "Ball": 23410, "fest": 23411, "\u0120Input": 23412, "\u0120Recently": 23413, "\u0120tomat": 23414, "square": 23415, "Application": 23416, "\u0120nitrogen": 23417, "\u0120duplicate": 23418, "\u0120Recon": 23419, "\u0120Dear": 23420, "London": 23421, "\u0120intra": 23422, "\u0120dock": 23423, "\u0120outreach": 23424, "\u0120Million": 23425, "\u0120mammals": 23426, "ampton": 23427, "VAL": 23428, "\u0120snaps": 23429, "\u0120dos": 23430, "\u0120Whole": 23431, "\u0120Ready": 23432, "Try": 23433, "\u0120Winnipeg": 23434, "earance": 23435, "\u0120incurred": 23436, "renched": 23437, "\u0120NSW": 23438, "ilot": 23439, "raine": 23440, "\u0120cube": 23441, "got": 23442, "\u0120runway": 23443, "etermined": 23444, "\u0120Hawks": 23445, "\u0120survivor": 23446, "\u0120Wish": 23447, "\u0120Din": 23448, "\u0120DEF": 23449, "\u0120Vault": 23450, "187": 23451, "\u0120mushrooms": 23452, "\u0120crisp": 23453, "bey": 23454, "\u0120Discovery": 23455, "\u0120developmental": 23456, "\u0120paradigm": 23457, "\u0120chaotic": 23458, "\u0120Tsu": 23459, "\u0120333": 23460, "bons": 23461, "\u0120bacterial": 23462, "\u0120commits": 23463, "\u0120cosmic": 23464, "\u0120mega": 23465, "ocative": 23466, "\u0120Paint": 23467, "ophobic": 23468, "\u0120vain": 23469, "\u0120carved": 23470, "\u0120Thief": 23471, "\u0120Gul": 23472, "owship": 23473, "\u0120cites": 23474, "\u0120Edinburgh": 23475, "\u0120diminished": 23476, "\u0120acknowledges": 23477, "\u0120Kills": 23478, "\u0120microw": 23479, "\u0120Hera": 23480, "\u0120seniors": 23481, "\u0120whereby": 23482, "Hop": 23483, "atron": 23484, "\u0120unavailable": 23485, "\u0120Nate": 23486, "\u0120480": 23487, "\u0120slated": 23488, "\u0120Rebecca": 23489, "\u0120Battery": 23490, "\u0120grammar": 23491, "\u0120headset": 23492, "\u0120cursor": 23493, "\u0120excluding": 23494, "anye": 23495, "aundering": 23496, "ebin": 23497, "\u0120feasible": 23498, "\u0120Publishing": 23499, "\u0120Labs": 23500, "\u0120Cliff": 23501, "\u0120Ferrari": 23502, "\u0120pac": 23503, "visible": 23504, "marked": 23505, "pell": 23506, "\u0120polite": 23507, "\u0120staggering": 23508, "\u0120Galactic": 23509, "\u0120superst": 23510, "\u0120paran": 23511, "\u0120Officers": 23512, "\u00e3\u0122\u0123": 23513, "\u0120specifics": 23514, "ulus": 23515, "239": 23516, "\u0120Paste": 23517, "AMP": 23518, "\u0120Panama": 23519, "\u0120Delete": 23520, "anguard": 23521, "restrial": 23522, "\u0120heroic": 23523, "\u0120Dy": 23524, "\u00d8\u00a7\u00d9\u0126": 23525, "\u0120incumbent": 23526, "\u0120crunch": 23527, "tro": 23528, "\u0120scoop": 23529, "\u0120blogger": 23530, "\u0120sellers": 23531, "uren": 23532, "\u0120medicines": 23533, "\u0120Caps": 23534, "\u0120Animation": 23535, "oxy": 23536, "\u0120outward": 23537, "\u0120inquiries": 23538, "229": 23539, "\u0120psychologist": 23540, "\u0120Sask": 23541, "evil": 23542, "\u0120contaminated": 23543, "\u00e3\u0124\u00a8": 23544, "herence": 23545, "\u0120branded": 23546, "\u0120Abdul": 23547, "zh": 23548, "\u0120paragraphs": 23549, "\u0120mins": 23550, "\u0120correlated": 23551, "erb": 23552, "\u0120impart": 23553, "\u0120milestone": 23554, "\u0120Solutions": 23555, "otle": 23556, "\u0120undercover": 23557, "\u0120marched": 23558, "\u0120Chargers": 23559, "fax": 23560, "\u0120Secrets": 23561, "\u0120ruth": 23562, "weather": 23563, "\u0120feminine": 23564, "\u0120sham": 23565, "\u0120prestigious": 23566, "iggins": 23567, "\u0120sung": 23568, "history": 23569, "ettle": 23570, "ggie": 23571, "\u0120outdated": 23572, "oland": 23573, "\u0120perceptions": 23574, "\u0120Session": 23575, "\u0120Dodgers": 23576, "uj": 23577, "\u0120END": 23578, "Doc": 23579, "\u0120deficiency": 23580, "Grand": 23581, "\u0120Joker": 23582, "\u0120retrospect": 23583, "\u0120diagnostic": 23584, "\u0120harmless": 23585, "\u0120rogue": 23586, "\u0120Aval": 23587, "Equ": 23588, "\u0120transc": 23589, "\u0120Robertson": 23590, "\u0120Depending": 23591, "\u0120Burns": 23592, "ivo": 23593, "\u0120hostility": 23594, "Features": 23595, "\u0135\u013a": 23596, "\u0120discomfort": 23597, "\u0120LCD": 23598, "specified": 23599, "\u0120Expect": 23600, "340": 23601, "\u0120imperative": 23602, "\u0120Regular": 23603, "Chinese": 23604, "\u0120statewide": 23605, "\u0120symm": 23606, "\u0120loops": 23607, "\u0120autumn": 23608, "Nick": 23609, "\u0120shaping": 23610, "\u0120quot": 23611, "\u0120cherry": 23612, "\u0120Crossref": 23613, "\u00e8\u00a6\u013c\u00e9\u0128\u0134": 23614, "Standard": 23615, "heed": 23616, "\u0120Dell": 23617, "\u0120Vietnamese": 23618, "\u0120ost": 23619, "\u0120Valkyrie": 23620, "OA": 23621, "Assad": 23622, "\u0120rebound": 23623, "\u0120Traffic": 23624, "places": 23625, "\u00e6\u013a": 23626, "\u0120Buc": 23627, "172": 23628, "\u0120shelters": 23629, "\u0120insisting": 23630, "\u0120Certainly": 23631, "\u0120Kenneth": 23632, "\u0120TCP": 23633, "\u0120penal": 23634, "\u0120Replay": 23635, "heard": 23636, "\u0120dialect": 23637, "iza": 23638, "\u0120FY": 23639, "itcher": 23640, "\u0120DL": 23641, "\u0120spiral": 23642, "\u0120quarterbacks": 23643, "\u0120hull": 23644, "\u0120google": 23645, "\u0120todd": 23646, "\u0120Sterling": 23647, "\u0120Plate": 23648, "\u0120spying": 23649, "mbol": 23650, "\u0120Realm": 23651, "\u0120Proced": 23652, "\u0120Crash": 23653, "\u0120terminate": 23654, "\u0120protesting": 23655, "Center": 23656, "guided": 23657, "\u0120uncover": 23658, "\u0120boycott": 23659, "\u0120realizes": 23660, "sound": 23661, "\u0120pretending": 23662, "\u0120Vas": 23663, "1980": 23664, "\u0120framed": 23665, "\u0120139": 23666, "\u0120descended": 23667, "\u0120rehabilitation": 23668, "\u0120borrowing": 23669, "\u0120Buch": 23670, "\u0120blur": 23671, "Ron": 23672, "\u0120Frozen": 23673, "enza": 23674, "Chief": 23675, "\u0120Poor": 23676, "\u0120translates": 23677, "MIN": 23678, "\u0120212": 23679, "JECT": 23680, "\u0120erupted": 23681, "\u0120successes": 23682, "SEC": 23683, "\u0120plague": 23684, "\u0120gems": 23685, "doms": 23686, "\u0120stretches": 23687, "\u0120Spy": 23688, "\u0120storytelling": 23689, "Credit": 23690, "\u0120Push": 23691, "\u0120traction": 23692, "\u0120ineffective": 23693, "\u0120Luna": 23694, "\u0120tapes": 23695, "\u0120analytics": 23696, "ercise": 23697, "\u0120programmes": 23698, "\u0120Carbon": 23699, "\u0120behold": 23700, "heavy": 23701, "\u0120Conservation": 23702, "\u0120FIR": 23703, "\u0120sack": 23704, "termin": 23705, "ricks": 23706, "\u0120housed": 23707, "\u0120unusually": 23708, "Ice": 23709, "\u0120executing": 23710, "\u0120Moroc": 23711, "eday": 23712, "\u0120editions": 23713, "\u0120smarter": 23714, "\u0120BA": 23715, "\u0120outlaw": 23716, "\u0120vanished": 23717, "iba": 23718, "ALSE": 23719, "\u0120Silva": 23720, "238": 23721, "Could": 23722, "\u0120philosopher": 23723, "\u0120evacuated": 23724, "Secret": 23725, "142": 23726, "\u0120visas": 23727, "\u00e3\u0124\u00ac": 23728, "\u0120Malt": 23729, "\u0120Clearly": 23730, "\u0120Niger": 23731, "\u0120Cairo": 23732, "\u0120Fist": 23733, "380": 23734, "\u0120XML": 23735, "auto": 23736, "itant": 23737, "\u0120reinforced": 23738, "Record": 23739, "\u0120Survivor": 23740, "GHz": 23741, "\u0120screws": 23742, "parents": 23743, "\u0120oceans": 23744, "mares": 23745, "\u0120brakes": 23746, "vasive": 23747, "\u0120hello": 23748, "\u0120SIM": 23749, "rimp": 23750, "\u0120ore": 23751, "\u0120Armour": 23752, "247": 23753, "\u0120terrific": 23754, "\u0120tones": 23755, "141": 23756, "\u0120Minutes": 23757, "Episode": 23758, "\u0120curves": 23759, "\u0120inflammatory": 23760, "\u0120batting": 23761, "\u0120Beautiful": 23762, "Lay": 23763, "\u0120unpop": 23764, "vable": 23765, "\u0120riots": 23766, "\u0120Tactics": 23767, "baugh": 23768, "\u0120Cock": 23769, "\u0120orgasm": 23770, "\u0120Sas": 23771, "\u0120constructor": 23772, "etz": 23773, "Gov": 23774, "\u0120antagon": 23775, "\u0120theat": 23776, "\u0120deeds": 23777, "hao": 23778, "cuts": 23779, "\u0120McCl": 23780, "\u0120um": 23781, "\u0120Scientists": 23782, "\u0120grassroots": 23783, "yssey": 23784, "\"]=>": 23785, "\u0120surfaced": 23786, "\u0120shades": 23787, "\u0120neighbours": 23788, "\u0120advertis": 23789, "oya": 23790, "\u0120merged": 23791, "Upon": 23792, "\u0120gad": 23793, "\u0120anticipate": 23794, "Anyway": 23795, "\u0120slogan": 23796, "\u0120disrespect": 23797, "Iran": 23798, "\u0120TB": 23799, "acted": 23800, "\u0120subpoen": 23801, "mediately": 23802, "OOOO": 23803, "\u0120waiver": 23804, "\u0120vulnerabilities": 23805, "ottesville": 23806, "\u0120Huffington": 23807, "Josh": 23808, "\u0120DH": 23809, "Monday": 23810, "\u0120Ellen": 23811, "Know": 23812, "xon": 23813, "items": 23814, "228": 23815, "\u0120fills": 23816, "\u0120Nike": 23817, "\u0120cumulative": 23818, "andals": 23819, "Ir": 23820, "\u0120\u00ec": 23821, "\u0120friction": 23822, "igator": 23823, "\u0120scans": 23824, "\u0120Vienna": 23825, "ldom": 23826, "\u0120performers": 23827, "Prim": 23828, "\u0120bidding": 23829, "Mur": 23830, "\u0120leaned": 23831, "\u0120Prix": 23832, "alks": 23833, "\u0120[\u00e2\u0122\u00a6]": 23834, "\u0120Twitch": 23835, "\u0120Developer": 23836, "\u0120Gir": 23837, "\u0120callback": 23838, "Abstract": 23839, "\u0120accustomed": 23840, "\u0120freedoms": 23841, "\u0120PG": 23842, "uracy": 23843, "\u0120lump": 23844, "isman": 23845, ",,,,": 23846, "1992": 23847, "\u0120RED": 23848, "\u0120worm": 23849, "Match": 23850, "\u0120Platinum": 23851, "IJ": 23852, "\u0120Owner": 23853, "Trivia": 23854, "compl": 23855, "\u0120newborn": 23856, "\u0120fantas": 23857, "Own": 23858, "\u01201959": 23859, "\u0120sympath": 23860, "\u0120ubiqu": 23861, "\u0120outputs": 23862, "\u0120allev": 23863, "\u0120prag": 23864, "Kevin": 23865, "\u0120favors": 23866, "\u0120burial": 23867, "\u0120nurt": 23868, "solete": 23869, "cache": 23870, "\u0120156": 23871, "\u0120unlocks": 23872, "techn": 23873, "Making": 23874, "\u0120conquer": 23875, "adic": 23876, "\u00e6\u0138": 23877, "\u0120elf": 23878, "\u0120electorate": 23879, "\u0120Kurds": 23880, "\u0120Stack": 23881, "\u0120Samurai": 23882, "\u0120\u00e2\u013a\u0127": 23883, "\u0120{}": 23884, "\u0120Said": 23885, "\u0120Fallout": 23886, "\u0120kindness": 23887, "\u0120Customs": 23888, "\u0120Boulevard": 23889, "\u0120helicopters": 23890, "otics": 23891, "\u0120Veget": 23892, "comment": 23893, "\u0120criticised": 23894, "\u0120polished": 23895, "\u0120Remix": 23896, "\u0120Cultural": 23897, "\u0120recons": 23898, "\u0120doi": 23899, "atem": 23900, "Screen": 23901, "\u0120barred": 23902, "Comments": 23903, "\u0120Generally": 23904, "\u0120slap": 23905, "720": 23906, "Vari": 23907, "pine": 23908, "\u0120empt": 23909, "\u0120hats": 23910, "\u0120Playing": 23911, "lab": 23912, "average": 23913, "forms": 23914, "\u0120Cotton": 23915, "\u0120cans": 23916, "\u0120DON": 23917, "\u0120Somalia": 23918, "Crypt": 23919, "\u0120Increases": 23920, "Ever": 23921, "modern": 23922, "\u0120surgeon": 23923, "3000": 23924, "\u0120randomized": 23925, "================================================================": 23926, "Bern": 23927, "impl": 23928, "\u0120COR": 23929, "\u0120proclaim": 23930, "thouse": 23931, "\u0120toes": 23932, "\u0120ample": 23933, "\u0120preserving": 23934, "\u0120disbel": 23935, "grand": 23936, "Besides": 23937, "\u0120silk": 23938, "\u0120Pattern": 23939, "hm": 23940, "\u0120enterprises": 23941, "\u0120affidavit": 23942, "\u0120Advisory": 23943, "\u0120advertised": 23944, "\u0120Religious": 23945, "sections": 23946, "psych": 23947, "\u0120Fields": 23948, "aways": 23949, "\u0120hashtag": 23950, "\u0120Nightmare": 23951, "\u0120vampire": 23952, "\u0120forensic": 23953, "rossover": 23954, "nar": 23955, "\u0120navy": 23956, "\u0120vacant": 23957, "\u0120Duel": 23958, "\u0120hallway": 23959, "\u0120facebook": 23960, "identally": 23961, "\u0120NRA": 23962, "\u0120matt": 23963, "\u0120hurricane": 23964, "\u0120Kirby": 23965, "\u0120Puzzle": 23966, "\u0120skirt": 23967, "oust": 23968, "dullah": 23969, "\u0120analogy": 23970, "inion": 23971, "\u0120tomatoes": 23972, "\u0120NV": 23973, "\u0120Peak": 23974, "\u0120Meyer": 23975, "\u0120appointments": 23976, "\u0120masc": 23977, "\u0120alley": 23978, "rehend": 23979, "\u0120charities": 23980, "\u0120undo": 23981, "\u0120destinations": 23982, "\u0120Testing": 23983, "\">\"": 24618, "cats": 24619, "*.": 24620, "\u0120gestures": 24621, "general": 24622, "League": 24623, "\u0120packets": 24624, "\u0120Inspector": 24625, "\u0120Berg": 24626, "\u0120fraudulent": 24627, "\u0120criticize": 24628, "Fun": 24629, "\u0120blaming": 24630, "ndra": 24631, "\u0120slash": 24632, "\u0120Eston": 24633, "\u0120proposing": 24634, "\u0120whales": 24635, "\u0120therapist": 24636, "\u0120subset": 24637, "\u0120leisure": 24638, "ELD": 24639, "\u0120CVE": 24640, "\u0120Activity": 24641, "\u0120culmin": 24642, "shop": 24643, "\u0120DAY": 24644, "ischer": 24645, "\u0120Admiral": 24646, "\u0120Attacks": 24647, "\u01201958": 24648, "\u0120memoir": 24649, "\u0120folded": 24650, "\u0120sexist": 24651, "\u0120153": 24652, "\u0120LI": 24653, "\u0120readings": 24654, "\u0120embarrassment": 24655, "\u0120Employment": 24656, "wart": 24657, "chin": 24658, "\u0120continuation": 24659, "lia": 24660, "Recently": 24661, "\u0120duel": 24662, "\u0120evacuation": 24663, "\u0120Kashmir": 24664, "\u0120disposition": 24665, "\u0120Rig": 24666, "\u0120bolts": 24667, "\u0120insurers": 24668, "467": 24669, "Mex": 24670, "\u0120retaliation": 24671, "\u0120misery": 24672, "\u0120unreasonable": 24673, "raining": 24674, "Imm": 24675, "\u0120PU": 24676, "emer": 24677, "\u0120genital": 24678, "\u00e3\u0124\u00b3": 24679, "\u0120Candy": 24680, "\u0120onions": 24681, "\u0120Patt": 24682, "liner": 24683, "\u0120conceded": 24684, "\u0120fa": 24685, "\u0120forc": 24686, "\u0120Hernandez": 24687, "\u0120Geoff": 24688, "debian": 24689, "\u0120Teams": 24690, "\u0120cries": 24691, "\u0120homeowners": 24692, "237": 24693, "ABC": 24694, "\u0120stitch": 24695, "\u0120statistic": 24696, "\u0120headers": 24697, "\u0120Biology": 24698, "\u0120motors": 24699, "\u0120GEN": 24700, "\u0120Lip": 24701, "\u0120hates": 24702, "\u0120heel": 24703, "Self": 24704, "ipl": 24705, "EDIT": 24706, "orting": 24707, "\u0120annot": 24708, "\u0120Speech": 24709, "oldemort": 24710, "\u0120Javascript": 24711, "\u0120LeBron": 24712, "\u0120footprint": 24713, "\u0120fn": 24714, "\u0120seizures": 24715, "nas": 24716, "hide": 24717, "\u01201954": 24718, "\u0120Bee": 24719, "\u0120Declaration": 24720, "\u0120Katie": 24721, "\u0120reservations": 24722, "NR": 24723, "female": 24724, "\u0120saturated": 24725, "\u0120biblical": 24726, "\u0120trolls": 24727, "Device": 24728, "photos": 24729, "\u0120drums": 24730, "\u00e3\u0125\u012b\u00e3\u0125\u00a9\u00e3\u0124\u00b4\u00e3\u0125\u00b3": 24731, "Night": 24732, "fighter": 24733, "\u0120Hak": 24734, "riber": 24735, "\u0120cush": 24736, "\u0120disciplinary": 24737, "baum": 24738, "\u0120GH": 24739, "\u0120Schmidt": 24740, "ilibrium": 24741, "\u0120sixty": 24742, "\u0120Kushner": 24743, "rots": 24744, "\u0120pund": 24745, "\u0120Rac": 24746, "\u0120springs": 24747, "\u0120conve": 24748, "Business": 24749, "Fall": 24750, "\u0120qualifications": 24751, "\u0120verses": 24752, "\u0120narciss": 24753, "\u0120Koh": 24754, "\u0120Wow": 24755, "\u0120Charlottesville": 24756, "edo": 24757, "\u0120interrogation": 24758, "\u0120Wool": 24759, "365": 24760, "Brian": 24761, "\u0120\u00e2\u013e\u0135": 24762, "\u0120alleges": 24763, "onds": 24764, "idation": 24765, "\u0120Jackie": 24766, "yu": 24767, "\u0120lakes": 24768, "\u0120worthwhile": 24769, "\u0120crystals": 24770, "\u0120Juda": 24771, "\u0120comprehend": 24772, "\u0120flush": 24773, "\u0120absorption": 24774, "\u0120OC": 24775, "\u0120frightened": 24776, "\u0120Chocolate": 24777, "Martin": 24778, "\u0120buys": 24779, "\u0120bucks": 24780, "\u0120appell": 24781, "\u0120Championships": 24782, "\u0120listener": 24783, "\u0120Defensive": 24784, "\u0120cz": 24785, "uds": 24786, "\u0120Mate": 24787, "\u0120replay": 24788, "\u0120decorated": 24789, "\u0120sunk": 24790, "\u0120VIP": 24791, "\u0120Ank": 24792, "\u0120195": 24793, "aaaa": 24794, "Nobody": 24795, "\u0120Milk": 24796, "\u0120Gur": 24797, "\u0120Mk": 24798, "\u0120Sara": 24799, "\u0120seating": 24800, "\u0120Wid": 24801, "Track": 24802, "\u0120employs": 24803, "\u0120gigantic": 24804, "APP": 24805, "\u00e3\u0124\u00a7": 24806, "inventory": 24807, "\u0120towel": 24808, "atche": 24809, "lasting": 24810, "\u0120TL": 24811, "\u0120latency": 24812, "\u0120kne": 24813, "Ber": 24814, "meaning": 24815, "\u0120upheld": 24816, "\u0120playground": 24817, "\u0120mant": 24818, "Side": 24819, "\u0120stereo": 24820, "\u0120northwest": 24821, "\u0120exceptionally": 24822, "\u0120rays": 24823, "\u0120recurring": 24824, "Drive": 24825, "\u0120upright": 24826, "\u0120abduct": 24827, "\u0120Marathon": 24828, "\u0120goodbye": 24829, "\u0120alphabet": 24830, "hp": 24831, "\u0120courtroom": 24832, "rington": 24833, "othing": 24834, "Tag": 24835, "\u0120diplomats": 24836, "\u0120barbar": 24837, "\u0120Aqua": 24838, "183": 24839, "3333": 24840, "\u0120maturity": 24841, "\u0120instability": 24842, "\u0120Apache": 24843, "\u0120===": 24844, "\u0120fasting": 24845, "\u0120Grid": 24846, "ModLoader": 24847, "\u0120152": 24848, "Abs": 24849, "\u0120Operating": 24850, "etti": 24851, "\u0120acquaint": 24852, "Donnell": 24853, "\u0120Kem": 24854, "\u0120Forge": 24855, "\u0120armored": 24856, "Mil": 24857, "\u0120philosophers": 24858, "invest": 24859, "Players": 24860, "\u00e2\u012a": 24861, "\u0120myriad": 24862, "\u0120comrades": 24863, "Rot": 24864, "\u0120remembering": 24865, "\u0120corresponds": 24866, "\u0120programmers": 24867, "\u0120Lynn": 24868, "\u0120olig": 24869, "\u0120coherent": 24870, "ynchron": 24871, "\u0120Chemical": 24872, "\u0120jugg": 24873, "pair": 24874, "posts": 24875, "Eye": 24876, "\u0120Inner": 24877, "\u0120semester": 24878, "ottest": 24879, "\u0120Emirates": 24880, "ricanes": 24881, "orously": 24882, "mits": 24883, "\u0120Wis": 24884, "\u0120dodge": 24885, "location": 24886, "\u0120faded": 24887, "Amazon": 24888, "\u0120Proceed": 24889, "\u0120INFO": 24890, "journal": 24891, "\u0120Truck": 24892, "Ten": 24893, "\u0120217": 24894, "\u0120statutes": 24895, "mobile": 24896, "\u0120Types": 24897, "Recomm": 24898, "buster": 24899, "pex": 24900, "\u0120legends": 24901, "\u0120headache": 24902, "faced": 24903, "\u0120WiFi": 24904, "ifty": 24905, "\u0120HER": 24906, "\u0120circuits": 24907, "ERROR": 24908, "226": 24909, "olin": 24910, "\u0120cylinder": 24911, "ospace": 24912, "ikers": 24913, "Prem": 24914, "Quant": 24915, "\u0120conflicting": 24916, "\u0120slightest": 24917, "\u0120forged": 24918, "ionage": 24919, "Stephen": 24920, "\u0120Kub": 24921, "\u0120Opportun": 24922, "\u0120Heal": 24923, "\u0120blo": 24924, "\u0120rulers": 24925, "\u0120huh": 24926, "\u0120submarine": 24927, "fy": 24928, "asser": 24929, "\u0120allowance": 24930, "\u0120Kasich": 24931, "\u0120Tas": 24932, "\u0120Australians": 24933, "ForgeModLoader": 24934, "\u0120\u00e2\u0128\u0133": 24935, "\u0120Matrix": 24936, "amins": 24937, "\u01201200": 24938, "\u0120Acqu": 24939, "236": 24940, "Document": 24941, "\u0120Breaking": 24942, "193": 24943, "\u0120Subst": 24944, "\u0120Roller": 24945, "\u0120Properties": 24946, "\u0120NI": 24947, "tier": 24948, "\u0120crushing": 24949, "\u0120advocating": 24950, "Furthermore": 24951, "keepers": 24952, "\u0120sexism": 24953, "xd": 24954, "\u0120caller": 24955, "\u0120Sense": 24956, "chieve": 24957, "\u0120TF": 24958, "\u0120fueled": 24959, "\u0120reminiscent": 24960, "\u0120obsess": 24961, "urst": 24962, "\u0120uphold": 24963, "\u0120Fans": 24964, "hetics": 24965, "\u0120\u00e2\u0139": 24966, "\u0120Bath": 24967, "\u0120beverage": 24968, "\u0120oscill": 24969, "254": 24970, "\u0120poles": 24971, "\u0120gradual": 24972, "\u0120exting": 24973, "\u0120Suff": 24974, "\u0120Suddenly": 24975, "\u0120liking": 24976, "\u01201949": 24977, "unciation": 24978, "amination": 24979, "\u0120Omar": 24980, "\u0120LV": 24981, "\u0120Consequently": 24982, "\u0120synthes": 24983, "\u0120GIF": 24984, "\u0120pains": 24985, "\u0120interacting": 24986, "uously": 24987, "incre": 24988, "\u0120rumor": 24989, "\u0120Scientology": 24990, "197": 24991, "\u0120Zig": 24992, "\u0120spelling": 24993, "\u0120ASS": 24994, "\u0120extingu": 24995, "mson": 24996, "\u0120gh": 24997, "\u0120remarked": 24998, "\u0120Strategic": 24999, "\u0120MON": 25000, "\u00e5\u00a5": 25001, "gae": 25002, "\u0120WHAT": 25003, "Eric": 25004, "\u0120Campus": 25005, "\u0120methane": 25006, "\u0120imagin": 25007, "JUST": 25008, "\u0120Alm": 25009, "XT": 25010, "iq": 25011, "\u0120RSS": 25012, "\u0120wrongdoing": 25013, "atta": 25014, "\u0120bigot": 25015, "\u0120demonstrators": 25016, "\u0120Calvin": 25017, "\u0120Villa": 25018, "\u0120membrane": 25019, "\u0120Awesome": 25020, "\u0120benefic": 25021, "268": 25022, "\u0120magnificent": 25023, "\u0120Lots": 25024, "Greg": 25025, "\u0120Boris": 25026, "\u0120detainees": 25027, "\u0120Herman": 25028, "\u0120whispered": 25029, "\u0120awe": 25030, "Professor": 25031, "funding": 25032, "\u0120physiological": 25033, "\u0120Destruction": 25034, "\u0120limb": 25035, "\u0120manipulated": 25036, "\u0120bubbles": 25037, "\u0120pseud": 25038, "\u0120hydra": 25039, "\u0120Bristol": 25040, "\u0120stellar": 25041, "\u0120Expansion": 25042, "\u0120Kell": 25043, "\u0120Interestingly": 25044, "\u0120mans": 25045, "\u0120dragging": 25046, "\u0120ecological": 25047, "\u0120Fit": 25048, "\u0120gent": 25049, "\u0120benefited": 25050, "\u0120Haiti": 25051, "\u0120polyg": 25052, "\u00e3\u0125\u0130": 25053, "\u01202030": 25054, "\u0120prow": 25055, "\u0120reconstruction": 25056, "\u0120wast": 25057, "\u0120psychic": 25058, "\u0120Greeks": 25059, "Handler": 25060, "162": 25061, "\u0120Pulse": 25062, "\u0120solicit": 25063, "\u0120sys": 25064, "\u0120influx": 25065, "\u0120Gentle": 25066, "percent": 25067, "\u0120proliferation": 25068, "\u0120taxable": 25069, "\u0120disregard": 25070, "\u0120escaping": 25071, "\u0120ginger": 25072, "\u0120withstand": 25073, "\u0120devastated": 25074, "\u0120Dew": 25075, "series": 25076, "\u0120injected": 25077, "elaide": 25078, "\u0120turnover": 25079, "heat": 25080, "\u013b\u0124": 25081, "Happy": 25082, "\u0120Silent": 25083, "\u00e3\u0124\u0143": 25084, "ivism": 25085, "\u0120irrational": 25086, "AMA": 25087, "\u0120reef": 25088, "rub": 25089, "\u0120162": 25090, "\u0120bankers": 25091, "\u0120Ethics": 25092, "vv": 25093, "\u0120criticisms": 25094, "Kn": 25095, "186": 25096, "Movie": 25097, "\u0120Tories": 25098, "\u0120nood": 25099, "\u0120distortion": 25100, "False": 25101, "odore": 25102, "\u0120tasty": 25103, "Research": 25104, "\u0120UID": 25105, "-)": 25106, "\u0120divorced": 25107, "\u0120MU": 25108, "\u0120Hayes": 25109, "\u0120Isn": 25110, "iani": 25111, "\u0120HQ": 25112, "\u0120\"#": 25113, "ignant": 25114, "\u0120traumatic": 25115, "\u0120Ling": 25116, "Hun": 25117, "\u0120sabot": 25118, "online": 25119, "random": 25120, "\u0120renamed": 25121, "rared": 25122, "KA": 25123, "dead": 25124, "\u00c3\u00a9t": 25125, "\u0120Assistance": 25126, "\u0120seaf": 25127, "++++++++": 25128, "\u0120seldom": 25129, "\u0120Webb": 25130, "\u0120boolean": 25131, "ulet": 25132, "\u0120refrain": 25133, "\u0120DIY": 25134, "rule": 25135, "\u0120shutting": 25136, "\u0120utilizing": 25137, "loading": 25138, "\u0120Param": 25139, "coal": 25140, "ooter": 25141, "\u0120attracting": 25142, "\u0120Dol": 25143, "\u0120hers": 25144, "agnetic": 25145, "\u0120Reach": 25146, "imo": 25147, "\u0120discarded": 25148, "\u0120Pip": 25149, "015": 25150, "\u00c3\u00bcr": 25151, "\u0120mug": 25152, "Imagine": 25153, "COL": 25154, "\u0120cursed": 25155, "\u0120Shows": 25156, "\u0120Curtis": 25157, "\u0120Sachs": 25158, "speaking": 25159, "\u0120Vista": 25160, "\u0120Framework": 25161, "ongo": 25162, "\u0120subreddit": 25163, "\u0120crus": 25164, "\u0120Oval": 25165, "Row": 25166, "growing": 25167, "\u0120installment": 25168, "\u0120glac": 25169, "\u0120Advance": 25170, "ECK": 25171, "\u0120LGBTQ": 25172, "LEY": 25173, "\u0120acet": 25174, "\u0120successive": 25175, "\u0120Nicole": 25176, "\u01201957": 25177, "Quote": 25178, "\u0120circumstance": 25179, "ackets": 25180, "\u0120142": 25181, "ortium": 25182, "\u0120guessed": 25183, "\u0120Frame": 25184, "\u0120perpetrators": 25185, "\u0120Aviation": 25186, "\u0120Bench": 25187, "\u0120handc": 25188, "Ap": 25189, "\u01201956": 25190, "259": 25191, "rand": 25192, "NetMessage": 25193, "din": 25194, "urtles": 25195, "hig": 25196, "\u0120VIII": 25197, "ffiti": 25198, "\u0120Swords": 25199, "bial": 25200, "\u0120kidnapping": 25201, "device": 25202, "\u0120barn": 25203, "\u0120Eli": 25204, "aucas": 25205, "Send": 25206, "Constructed": 25207, "\u0120\u00c2\u00bd": 25208, "\u0120needles": 25209, "\u0120advertisements": 25210, "\u0120vou": 25211, "\u0120exhibited": 25212, "\u0120Fortress": 25213, "Ask": 25214, "Berry": 25215, "TYPE": 25216, "\u0120cancers": 25217, "umping": 25218, "\u0120Territory": 25219, "\u0120prud": 25220, "\u0120nas": 25221, "\u0120atheist": 25222, "\u0120balances": 25223, "\u00e3\u0123\u0141": 25224, "\u0120Shawn": 25225, "&&": 25226, "\u0120landsc": 25227, "\u0120RGB": 25228, "\u0120petty": 25229, "\u0120excellence": 25230, "\u0120translations": 25231, "\u0120parcel": 25232, "\u0120Chev": 25233, "East": 25234, "\u0120Output": 25235, "imi": 25236, "\u0120ambient": 25237, "\u0120Threat": 25238, "\u0120villains": 25239, "\u0120550": 25240, "ICA": 25241, "\u0120taller": 25242, "\u0120leaking": 25243, "cup": 25244, "\u0120polish": 25245, "\u0120infectious": 25246, "\u0120KC": 25247, "\u0120@@": 25248, "background": 25249, "\u0120bureaucracy": 25250, "\u0120Sai": 25251, "unless": 25252, "itious": 25253, "\u0120Skype": 25254, "Atl": 25255, "IDENT": 25256, "008": 25257, "\u0120hypocr": 25258, "\u0120pitchers": 25259, "\u0120guessing": 25260, "\u0120FINAL": 25261, "Between": 25262, "\u0120villagers": 25263, "\u0120252": 25264, "fashion": 25265, "\u0120Tunis": 25266, "Beh": 25267, "\u0120Exc": 25268, "\u0120MID": 25269, "288": 25270, "\u0120Haskell": 25271, "196": 25272, "\u0120NOR": 25273, "\u0120specs": 25274, "\u0120invari": 25275, "\u0120glut": 25276, "\u0120Cars": 25277, "\u0120impulse": 25278, "\u0120honors": 25279, "gel": 25280, "\u0120jurisdictions": 25281, "\u0120Bundle": 25282, "ulas": 25283, "California": 25284, "\u0120Increase": 25285, "\u0120pear": 25286, "\u0120singles": 25287, "\u0120cues": 25288, "\u0120underwent": 25289, "\u0120WS": 25290, "\u0120exaggerated": 25291, "\u0120dubious": 25292, "\u0120flashing": 25293, "LOG": 25294, ")].": 25295, "Journal": 25296, "tg": 25297, "Van": 25298, "\u0120Istanbul": 25299, "\u0120Insp": 25300, "\u0120Franken": 25301, "Draw": 25302, "\u0120sadness": 25303, "\u0120ironic": 25304, "\u0120Fry": 25305, "xc": 25306, "\u0120164": 25307, "isch": 25308, "Way": 25309, "\u0120Protestant": 25310, "horn": 25311, "\u0120unaff": 25312, "\u0120Viv": 25313, "illas": 25314, "\u0120Productions": 25315, "\u0120Hogan": 25316, "\u0120perimeter": 25317, "\u0120Sisters": 25318, "\u0120spontaneous": 25319, "\u0120downside": 25320, "\u0120descendants": 25321, "\u0120orn": 25322, "worm": 25323, "Japanese": 25324, "\u01201955": 25325, "\u0120151": 25326, "\u0120Doing": 25327, "elsen": 25328, "umbles": 25329, "\u0120radically": 25330, "\u0120Drum": 25331, "\u0120Bach": 25332, "\u0120liabilities": 25333, "\u0120OB": 25334, "\u0120Elementary": 25335, "\u0120meme": 25336, "ynes": 25337, "\u0120fingerprint": 25338, "\u0120Grab": 25339, "\u0120undertake": 25340, "Members": 25341, "\u0120Reader": 25342, "\u0120Sims": 25343, "god": 25344, "\u0120hypothetical": 25345, "scient": 25346, "\u0120AJ": 25347, "\u0120charism": 25348, "\u0120admissions": 25349, "\u0120Missile": 25350, "trade": 25351, "\u0120exercising": 25352, "\u0120Background": 25353, "Written": 25354, "\u0120vocals": 25355, "whether": 25356, "\u0120vi": 25357, "\u0120Winner": 25358, "\u0120litter": 25359, "\u0120Shooting": 25360, "STEM": 25361, "\u00e3\u0124\u00a1": 25362, "\u0120AFL": 25363, "\u0120variability": 25364, "\u0120eats": 25365, "\u0120DPS": 25366, "brow": 25367, "\u0120elephants": 25368, "\u0120strat": 25369, "\u0120\u00c5": 25370, "\u0120settlers": 25371, "Matthew": 25372, "\u0120inadvert": 25373, "HI": 25374, "\u0120IMF": 25375, "\u0120Goal": 25376, "\u0120nerves": 25377, "Johnson": 25378, "eye": 25379, "ablishment": 25380, "Thursday": 25381, "BILITY": 25382, "Had": 25383, "amoto": 25384, "hetamine": 25385, "eps": 25386, "\u0120mitochond": 25387, "\u0120compressed": 25388, "\u0120Trevor": 25389, "\u0120Animals": 25390, "Tool": 25391, "Lock": 25392, "\u0120tweak": 25393, "\u0120pinch": 25394, "\u0120cancellation": 25395, "Pot": 25396, "\u0120focal": 25397, "\u0120Astron": 25398, "173": 25399, "\u0120ASC": 25400, "\u0120OTHER": 25401, "umni": 25402, "\u0120demise": 25403, "dl": 25404, "\u00d9\u0127": 25405, "Semitism": 25406, "\u0120cracking": 25407, "\u0120collaborative": 25408, "\u0120explores": 25409, "sql": 25410, "\u0120herbs": 25411, "\u0120configurations": 25412, "mis": 25413, "\u0120Result": 25414, "acey": 25415, "\u0120Smoke": 25416, "\u0120sanct": 25417, "elia": 25418, "\u0120degener": 25419, "\u0120deepest": 25420, "\u0120screamed": 25421, "\u0120nap": 25422, "Software": 25423, "\u0120STAR": 25424, "EF": 25425, "\u0120Xin": 25426, "sponsored": 25427, "manship": 25428, "233": 25429, "\u0120primaries": 25430, "\u0120filtering": 25431, "\u0120assemble": 25432, "mil": 25433, "\u0120Myers": 25434, "bows": 25435, "\u0120punched": 25436, "Mic": 25437, "\u0120innovations": 25438, "\u0120func": 25439, "ando": 25440, "\u0120fracking": 25441, "\u0120Vul": 25442, "\u00d0\u00be\u00d0": 25443, "oshop": 25444, "\u0120Immun": 25445, "\u0120settling": 25446, "\u0120adolescents": 25447, "\u0120rebuilding": 25448, "\u0120transforming": 25449, "\u0120parole": 25450, "\u0120harbor": 25451, "\u0120booking": 25452, "otional": 25453, "ongevity": 25454, "\u0120Yo": 25455, "bug": 25456, "\u0120emerges": 25457, "\u0120Methods": 25458, "\u0120Chu": 25459, "Pres": 25460, "\u0120Dungeons": 25461, "\u0120trailing": 25462, "\u0120Rum": 25463, "\u0120Hugh": 25464, "\u00e5\u00a4\u00a9": 25465, "\u0120Era": 25466, "\u0120Battles": 25467, "Results": 25468, "\u0120Trading": 25469, "\u0120versa": 25470, "css": 25471, "axies": 25472, "heet": 25473, "\u0120greed": 25474, "1989": 25475, "\u0120gardens": 25476, "\u0120contingent": 25477, "Park": 25478, "\u0120Leafs": 25479, "hook": 25480, "robe": 25481, "\u0120diplomacy": 25482, "\u0120Fuel": 25483, "\u0120Invasion": 25484, "\u0120upgrading": 25485, "Male": 25486, "\u0120elic": 25487, "\u0120relentless": 25488, "\u0120Covenant": 25489, "apesh": 25490, "\u0120Trop": 25491, "Ty": 25492, "production": 25493, "arty": 25494, "\u0120punches": 25495, "ako": 25496, "cyclopedia": 25497, "\u0120Rabbit": 25498, "\u0120HDMI": 25499, "\u0120141": 25500, "\u0120foil": 25501, "ItemImage": 25502, "\u0120FG": 25503, "\u0120implementations": 25504, "\u0120Pom": 25505, "ixtures": 25506, "\u0120await": 25507, "\u0120330": 25508, "amus": 25509, "\u0120umbrella": 25510, "\u0120foresee": 25511, "separ": 25512, "\u0120circumcision": 25513, "\u0120peripheral": 25514, "Say": 25515, "\u0120Expert": 25516, "Inc": 25517, "\u0120withdrew": 25518, "\u0120Anders": 25519, "fried": 25520, "\u0120radioactive": 25521, "\u0120Opening": 25522, "\u0120boarding": 25523, "\u0120ND": 25524, "\u0120overthrow": 25525, "Activ": 25526, "WP": 25527, "\u0120Acts": 25528, "\u00d7\u013b": 25529, "\u0120motions": 25530, "vic": 25531, "\u0120Mighty": 25532, "\u0120Defender": 25533, "aer": 25534, "\u0120thankful": 25535, "\u0120Killing": 25536, "\u0120Bris": 25537, "moil": 25538, "\u0120predicting": 25539, "266": 25540, "choice": 25541, "\u0120killers": 25542, "\u0120incub": 25543, "\u0120Chest": 25544, "athering": 25545, "\u0120proclaimed": 25546, "flower": 25547, "ossom": 25548, "umbledore": 25549, "\u0120Cycling": 25550, "\u0120Occupy": 25551, "AGES": 25552, "Pen": 25553, "\u0120Yug": 25554, "\u0120packaged": 25555, "\u0120heightened": 25556, "cot": 25557, "stack": 25558, "Cond": 25559, "\u0120stamps": 25560, "mage": 25561, "\u0120persuaded": 25562, "\u0120ensl": 25563, "\u0120Cardinal": 25564, "\u0120solitary": 25565, "\u0120possessing": 25566, "\u0120Cork": 25567, "\u0120evid": 25568, "\u0120Tay": 25569, "\u0120blues": 25570, "\u0120extremism": 25571, "\u0120lunar": 25572, "\u0120clown": 25573, "Techn": 25574, "\u0120festivals": 25575, "\u0120PvP": 25576, "\u0120Lar": 25577, "\u0120consequently": 25578, "present": 25579, "\u0120someday": 25580, "\u00e7\u0130\u012d": 25581, "\u0120Meteor": 25582, "\u0120touring": 25583, "culture": 25584, "\u0120beaches": 25585, "Ship": 25586, "cause": 25587, "\u0120Flood": 25588, "\u00e3\u0125\u00af": 25589, "\u0120purity": 25590, "those": 25591, "\u0120emission": 25592, "bolt": 25593, "\u0120chord": 25594, "\u0120Scripture": 25595, "Lu": 25596, "\u0120${": 25597, "created": 25598, "Others": 25599, "258": 25600, "\u0120elemental": 25601, "\u0120annoyed": 25602, "\u0120AE": 25603, "dan": 25604, "\u0120Sag": 25605, "Researchers": 25606, "\u0120fairy": 25607, "\u00e2\u0122\u0135\u00e2\u0122\u0135": 25608, "============": 25609, "Smart": 25610, "GGGG": 25611, "\u0120skeletons": 25612, "\u0120pupils": 25613, "linked": 25614, "\u0120urgency": 25615, "enabled": 25616, "\u0120Fuck": 25617, "\u0120councill": 25618, "rab": 25619, "UAL": 25620, "TI": 25621, "\u0120lifes": 25622, "\u0120confessed": 25623, "Bug": 25624, "\u0120harmon": 25625, "\u0120CONFIG": 25626, "\u0120Neutral": 25627, "Double": 25628, "\u0120staple": 25629, "\u0120SHA": 25630, "British": 25631, "\u0120SNP": 25632, "ATOR": 25633, "oco": 25634, "\u0120swinging": 25635, "gex": 25636, "oleon": 25637, "plain": 25638, "\u0120Missing": 25639, "\u0120Trophy": 25640, "vari": 25641, "ranch": 25642, "\u0120301": 25643, "440": 25644, "0000000000000000": 25645, "\u0120restoring": 25646, "\u0120haul": 25647, "ucing": 25648, "nerg": 25649, "\u0120futures": 25650, "\u0120strategist": 25651, "question": 25652, "\u0120lateral": 25653, "\u0120Bard": 25654, "\u0120sor": 25655, "\u0120Rhodes": 25656, "\u0120Downtown": 25657, "?????-": 25658, "\u0120Lit": 25659, "\u0120Bened": 25660, "\u0120coil": 25661, "street": 25662, "\u0120Portal": 25663, "FILE": 25664, "\u0120Gru": 25665, "*,": 25666, "231": 25667, "neum": 25668, "\u0120sucked": 25669, "\u0120rapper": 25670, "\u0120tendencies": 25671, "\u0120Lauren": 25672, "cellaneous": 25673, "267": 25674, "\u0120browse": 25675, "\u0120overc": 25676, "header": 25677, "oise": 25678, "\u0120beet": 25679, "\u0120Gle": 25680, "Stay": 25681, "\u0120mum": 25682, "\u0120typed": 25683, "\u0120discounts": 25684, "Talk": 25685, "\u0120Og": 25686, "existing": 25687, "\u0120Sell": 25688, "uph": 25689, "CI": 25690, "\u0120Austrian": 25691, "\u0120Warm": 25692, "\u0120dismissal": 25693, "\u0120averages": 25694, "camera": 25695, "\u0120allegiance": 25696, "LAN": 25697, "=\"#": 25698, "\u0120commentators": 25699, "\u0120Setting": 25700, "\u0120Midwest": 25701, "\u0120pharmac": 25702, "\u0120EXP": 25703, "\u0120stainless": 25704, "Chicago": 25705, "\u0120tan": 25706, "244": 25707, "\u0120countryside": 25708, "\u0120Vac": 25709, "295": 25710, "\u0120pinned": 25711, "\u0120crises": 25712, "\u0120standardized": 25713, "Task": 25714, "\u0120Jail": 25715, "\u0120Docker": 25716, "colored": 25717, "forth": 25718, "\"},": 25719, "\u0120patrons": 25720, "\u0120spice": 25721, "\u0120mourn": 25722, "\u0120Mood": 25723, "\u0120laundry": 25724, "\u0120equip": 25725, "\u0120Mole": 25726, "yll": 25727, "\u0120THC": 25728, "nation": 25729, "\u0120Sherlock": 25730, "\u0120issu": 25731, "\u0120Kre": 25732, "\u0120Americas": 25733, "\u0120AAA": 25734, "\u0120systematically": 25735, "\u0120contra": 25736, "\u0120Sally": 25737, "\u0120rationale": 25738, "\u0120carriage": 25739, "\u0120peaks": 25740, "\u0120contradiction": 25741, "ensation": 25742, "\u0120Failure": 25743, "\u0120props": 25744, "\u0120namespace": 25745, "\u0120cove": 25746, "fields": 25747, "\u00e3\u0124\u012d": 25748, "\u0120wool": 25749, "\u0120Catch": 25750, "\u0120presumed": 25751, "\u0120Diana": 25752, "ragon": 25753, "igi": 25754, "\u0120hamm": 25755, "\u0120stunt": 25756, "\u0120GUI": 25757, "\u0120Observatory": 25758, "\u0120Shore": 25759, "\u0120smells": 25760, "annah": 25761, "\u0120cockpit": 25762, "\u0120Duterte": 25763, "850": 25764, "\u0120oppressed": 25765, "breaker": 25766, "\u0120Contribut": 25767, "\u0120Peru": 25768, "\u0120Monsanto": 25769, "\u0120Attempt": 25770, "\u0120commanding": 25771, "\u0120fridge": 25772, "\u0120Rin": 25773, "\u0120Chess": 25774, "uality": 25775, "\u0120ol": 25776, "Republican": 25777, "\u0120Glory": 25778, "\u0120WIN": 25779, ".......": 25780, "agent": 25781, "reading": 25782, "\u0120inh": 25783, "Jones": 25784, "\u0120clicks": 25785, "alan": 25786, "\u0120[];": 25787, "\u0120Majesty": 25788, "\u0120Ced": 25789, "opus": 25790, "atel": 25791, "\u00c3\u00aa": 25792, "ARC": 25793, "\u0120Ecuador": 25794, "\u00e3\u0125\u0142": 25795, "\u0120Kuro": 25796, "\u0120rituals": 25797, "\u0120captive": 25798, "\u0120ounce": 25799, "\u0120disagreement": 25800, "\u0120slog": 25801, "fuel": 25802, "Pet": 25803, "Mail": 25804, "\u0120exercised": 25805, "\u0120solic": 25806, "\u0120rainfall": 25807, "\u0120devotion": 25808, "\u0120Assessment": 25809, "\u0120robotic": 25810, "options": 25811, "\u0120RP": 25812, "\u0120Families": 25813, "\u0120Flames": 25814, "\u0120assignments": 25815, "007": 25816, "akedown": 25817, "\u0120vocabulary": 25818, "Reilly": 25819, "\u0120caval": 25820, "gars": 25821, "\u0120suppressed": 25822, "\u0120SET": 25823, "\u0120Johns": 25824, "\u0120warp": 25825, "broken": 25826, "\u0120statues": 25827, "\u0120advocated": 25828, "\u0120275": 25829, "\u0120peril": 25830, "omorph": 25831, "\u0120Femin": 25832, "perfect": 25833, "\u0120hatch": 25834, "Lib": 25835, "512": 25836, "\u0120lifelong": 25837, "313": 25838, "\u0120cheeks": 25839, "\u0120numbered": 25840, "\u0120Mug": 25841, "Body": 25842, "ravel": 25843, "Weight": 25844, "\u0120Jak": 25845, "\u0120Heath": 25846, "\u0120kissing": 25847, "\u0120JUST": 25848, "\u0120waving": 25849, "upload": 25850, "\u0120insider": 25851, "\u0120Progressive": 25852, "\u0120Filter": 25853, "tta": 25854, "\u0120Beam": 25855, "\u0120violently": 25856, "ipation": 25857, "\u0120skepticism": 25858, "\u01201918": 25859, "\u0120Annie": 25860, "\u0120SI": 25861, "\u0120genetics": 25862, "\u0120onboard": 25863, "atl": 25864, "\u0120Friedman": 25865, "\u0120Bri": 25866, "ceptive": 25867, "\u0120pirate": 25868, "\u0120Reporter": 25869, "278": 25870, "\u0120mythology": 25871, "\u0120eclipse": 25872, "\u0120skins": 25873, "\u0120glyph": 25874, "ingham": 25875, "Files": 25876, "Cour": 25877, "women": 25878, "\u0120regimes": 25879, "\u0120photographed": 25880, "Kat": 25881, "\u0120MAX": 25882, "Officials": 25883, "\u0120unexpectedly": 25884, "\u0120impressions": 25885, "Front": 25886, ";;;;;;;;": 25887, "\u0120supremacy": 25888, "\u0120sang": 25889, "\u0120aggravated": 25890, "\u0120abruptly": 25891, "\u0120Sector": 25892, "\u0120excuses": 25893, "\u0120costing": 25894, "idepress": 25895, "Stack": 25896, "\u0120RNA": 25897, "obil": 25898, "\u0120ghosts": 25899, "ldon": 25900, "atibility": 25901, "Topics": 25902, "\u0120reimburse": 25903, "\u0120HM": 25904, "\u0120Deg": 25905, "\u0120thief": 25906, "yet": 25907, "ogenesis": 25908, "leaning": 25909, "\u0120Kol": 25910, "\u0120Basketball": 25911, "\u0120fi": 25912, "\u0120Seeing": 25913, "\u0120recycling": 25914, "\u0120[-": 25915, "Congress": 25916, "\u0120lectures": 25917, "Psy": 25918, "\u0120nep": 25919, "\u0120maid": 25920, "\u0120oriented": 25921, "AX": 25922, "\u0120respectful": 25923, "rene": 25924, "flush": 25925, "\u0120Unloaded": 25926, "request": 25927, "grid": 25928, "\u0120Alternatively": 25929, "\u0120Hugo": 25930, "\u0120decree": 25931, "\u0120Buddhism": 25932, "andum": 25933, "Android": 25934, "\u0120Congo": 25935, "\u0120Joyce": 25936, "\u0120acknowledging": 25937, "hesive": 25938, "\u0120Tomorrow": 25939, "\u0120Hiro": 25940, "thren": 25941, "\u0120Maced": 25942, "\u0120hoax": 25943, "\u0120Increased": 25944, "\u0120Pradesh": 25945, "Wild": 25946, "______": 25947, "161": 25948, "\u0120aunt": 25949, "\u0120distributing": 25950, "\u0120Tucker": 25951, "\u0120SSL": 25952, "\u0120Wolves": 25953, "Building": 25954, "oult": 25955, "\u0120Luo": 25956, "\u0120Yas": 25957, "\u0120Spir": 25958, "\u0120Shape": 25959, "\u0120Cambod": 25960, "\u0120IPv": 25961, "\u0120ml": 25962, "\u0120extrad": 25963, "390": 25964, "\u0120Penny": 25965, "dream": 25966, "\u0120stationed": 25967, "optional": 25968, "eworthy": 25969, ".": 26700, "\u0120Workshop": 26701, "\u0120Retail": 26702, "\u0120Avatar": 26703, "625": 26704, "Na": 26705, "\u0120VC": 26706, "\u0120Secure": 26707, "MY": 26708, "1988": 26709, "ossip": 26710, "\u0120prostate": 26711, "\u0120unden": 26712, "\u0120gamer": 26713, "\u0120Contents": 26714, "\u0120Warhammer": 26715, "\u0120Sentinel": 26716, "310": 26717, "\u0120segregation": 26718, "\u0120Flex": 26719, "\u0120MAY": 26720, "\u0120drills": 26721, "\u0120Drugs": 26722, "Islamic": 26723, "\u0120spur": 26724, "\u0120cafe": 26725, "\u0120imaginary": 26726, "\u0120guiding": 26727, "\u0120swings": 26728, "\u0120Theme": 26729, "oby": 26730, "\u0120nud": 26731, "\u0120begging": 26732, "\u0120strongh": 26733, "\u0120rejecting": 26734, "\u0120pedestrians": 26735, "\u0120Prospect": 26736, "Rare": 26737, "sle": 26738, "\u0120concessions": 26739, "\u0120Constitutional": 26740, "\u0120beams": 26741, "\u0120fibers": 26742, "poon": 26743, "\u0120instincts": 26744, "property": 26745, "\u0120BIG": 26746, "Sanders": 26747, "imates": 26748, "\u0120coating": 26749, "\u0120corpses": 26750, "\u0120TRUE": 26751, "checked": 26752, "\u0120166": 26753, "Ash": 26754, "\u0120JS": 26755, "\u0120Fiction": 26756, "\u0120communal": 26757, "\u0120energetic": 26758, "oooooooo": 26759, "\u0120nowadays": 26760, "ILD": 26761, "ibo": 26762, "\u0120SUV": 26763, "Ren": 26764, "\u0120dwelling": 26765, "Silver": 26766, "\u0120tally": 26767, "\u0120Moving": 26768, "\u0120coward": 26769, "\u0120generals": 26770, "\u0120horns": 26771, "\u0120circulated": 26772, "\u0120robbed": 26773, "\u0120Unlimited": 26774, "\u0120harassed": 26775, "\u0120inhibit": 26776, "\u0120composer": 26777, "\u0120Spotify": 26778, "\u0120spreads": 26779, "364": 26780, "\u0120suicidal": 26781, "\u0120noises": 26782, "\u0120Stur": 26783, "\u0120saga": 26784, "\u0120Kag": 26785, "iso": 26786, "\u0120theoretically": 26787, "Money": 26788, "\u0120similarity": 26789, "\u0120sliced": 26790, "utils": 26791, "inges": 26792, "\"-": 26793, "\u0120anth": 26794, "\u0120imped": 26795, "Module": 26796, "Throughout": 26797, "\u0120menus": 26798, "committee": 26799, "andi": 26800, "obj": 26801, "inav": 26802, "fired": 26803, "\u0120Abdullah": 26804, "\u0120undead": 26805, "\u0120fonts": 26806, "Hold": 26807, "ENG": 26808, "\u0120sustainability": 26809, "\u0120flick": 26810, "\u0120razor": 26811, "\u0120Fest": 26812, "\u0120Characters": 26813, "\u0120wording": 26814, "\u0120populist": 26815, "\u0120criticizing": 26816, "\u0120muse": 26817, "vine": 26818, "\u0120cardboard": 26819, "\u0120kindly": 26820, "\u0120fringe": 26821, "\u0120Theft": 26822, "icultural": 26823, "\u0120governors": 26824, "\u0120\u00ef\u00bf\u00bd\u00ef\u00bf\u00bd\u00ef\u00bf\u00bd\u00ef\u00bf\u00bd": 26825, "\u0120163": 26826, "\u0120timeout": 26827, "\u0120Auth": 26828, "Children": 26829, "AU": 26830, "\u0120redemption": 26831, "\u0120Alger": 26832, "\u01201914": 26833, "\u0120waved": 26834, "\u0120astronauts": 26835, "ograms": 26836, "\u0120swamp": 26837, "\u0120Finnish": 26838, "\u0120candle": 26839, "\u0120tonnes": 26840, "utm": 26841, "\u0120ray": 26842, "\u0120spun": 26843, "\u0120fearful": 26844, "articles": 26845, "\u0120caus": 26846, "orically": 26847, "\u0120Requires": 26848, "\u0120Gol": 26849, "\u0120pope": 26850, "\u0120inaugural": 26851, "\u0120gle": 26852, "ADA": 26853, "\u0120ISIL": 26854, "\u0120Offensive": 26855, "\u0120watchdog": 26856, "\u0120balcon": 26857, "entity": 26858, "\u0120Hoo": 26859, "\u0120gallon": 26860, "ACC": 26861, "\u0120doubling": 26862, "\u0120implication": 26863, "\u0120Sight": 26864, "\u0120doctr": 26865, "-------": 26866, "\u0120\\\\": 26867, "\u0120malt": 26868, "Roll": 26869, "\u0120\u00e2\u012b\u00a5": 26870, "\u0120recap": 26871, "adding": 26872, "uces": 26873, "\u0120Bend": 26874, "figure": 26875, "\u0120turkey": 26876, "\u0120societal": 26877, "\u0120Tickets": 26878, "\u0120commercially": 26879, "\u0120spicy": 26880, "\u0120216": 26881, "\u0120Ramp": 26882, "\u0120superiority": 26883, "\u00c3\u00af": 26884, "\u0120Tracker": 26885, "Carl": 26886, "\u0120Coy": 26887, "\u0120Patriot": 26888, "\u0120consulted": 26889, "\u0120listings": 26890, "\u0120slew": 26891, "reenshot": 26892, "\u0120Gone": 26893, "\u0120[...]": 26894, "309": 26895, "\u0120hottest": 26896, "\u00d8\u00b1": 26897, "\u0120rocky": 26898, "\u0120Diaz": 26899, "\u0120massage": 26900, "\u0120paraly": 26901, "\u0120pony": 26902, "Az": 26903, "\u0120cartridge": 26904, "\u0120NZ": 26905, "\u0120snack": 26906, "\u0120Lamar": 26907, "plement": 26908, "\u0120Leslie": 26909, "\u0120mater": 26910, "\u0120snipp": 26911, "246": 26912, "\u0120jointly": 26913, "\u0120Brisbane": 26914, "\u0120iPod": 26915, "\u0120pumping": 26916, "\u0120goat": 26917, "\u0120Sharon": 26918, "ealing": 26919, "\u0120coron": 26920, "\u0120anomal": 26921, "rahim": 26922, "\u0120Connection": 26923, "\u0120sculpture": 26924, "\u0120scheduling": 26925, "\u0120Daddy": 26926, "athing": 26927, "\u0120eyebrows": 26928, "\u0120curved": 26929, "\u0120sentiments": 26930, "\u0120drafting": 26931, "Drop": 26932, "([": 26933, "\u0120nominal": 26934, "\u0120Leadership": 26935, "\u0120Grow": 26936, "\u0120176": 26937, "\u0120constructive": 26938, "ivation": 26939, "\u0120corrupted": 26940, "gerald": 26941, "\u0120Cros": 26942, "\u0120Chester": 26943, "\u0120Lap": 26944, "\u00e3\u0123\u00aa": 26945, "OTH": 26946, "DATA": 26947, "\u0120almond": 26948, "probably": 26949, "Imp": 26950, "\u0120feast": 26951, "\u0120Warcraft": 26952, "Flor": 26953, "\u0120checkpoint": 26954, "\u0120transcription": 26955, "\u0120204": 26956, "\u0120tweaks": 26957, "\u0120relieve": 26958, "Science": 26959, "\u0120performer": 26960, "Zone": 26961, "\u0120turmoil": 26962, "igated": 26963, "hibit": 26964, "\u0120Cafe": 26965, "themed": 26966, "\u0120fluor": 26967, "bench": 26968, "\u0120decom": 26969, "\u0120Unt": 26970, "\u0120Barrett": 26971, "\u0120Facts": 26972, "\u0120tasting": 26973, "\u0120PTSD": 26974, "\u0120Seal": 26975, "\u0120Judaism": 26976, "\u0120Dynamic": 26977, "\u0120Cors": 26978, "Ve": 26979, "\u0120Ming": 26980, "\u0120Transform": 26981, "von": 26982, "\u0120Defenders": 26983, "\u0120Tactical": 26984, "\u0120Von": 26985, "\u0120Univers": 26986, "\u0120distorted": 26987, "\u0120Breath": 26988, "?'\"": 26989, "\u0120agon": 26990, "\u0120Deadly": 26991, "\u0120lan": 26992, "\u0120Cycle": 26993, "orned": 26994, "\u0120reliably": 26995, "\u0120glor": 26996, "\u0120Monkey": 26997, "\u00e3\u0125\u00a1": 26998, "\u0120adren": 26999, "\u0120microwave": 27000, "\u0120Alban": 27001, "ircraft": 27002, "digit": 27003, "smart": 27004, "\u0120Dread": 27005, "\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af\u00c2\u00af": 27006, "{{": 27007, "\u0120Rochester": 27008, "\u0120simplified": 27009, "\u0120inflicted": 27010, "\u0120takeover": 27011, "\u0120yourselves": 27012, "aditional": 27013, "\u0120muscular": 27014, "KS": 27015, "\u0120ingen": 27016, "Tax": 27017, "\u0120Feature": 27018, "277": 27019, "\u0120cruc": 27020, "\u0120crate": 27021, "\u0120unidentified": 27022, "\u0120acclaimed": 27023, "\u0120Manga": 27024, "\u0120Frances": 27025, "\u0120Nepal": 27026, "\u0120Gerald": 27027, "\u0120Kuwait": 27028, "\u0120slain": 27029, "\u0120Heb": 27030, "\u0120Goku": 27031, "\u00e3\u0123\u00ae\u00e6": 27032, "286": 27033, "Mrs": 27034, "\u0120Cody": 27035, "\u0120Sanctuary": 27036, "016": 27037, "\u0120dismant": 27038, "\u0120dataset": 27039, "\u0120Hond": 27040, "buck": 27041, "\u0120Patterson": 27042, "\u0120palette": 27043, "\u0120GD": 27044, "icol": 27045, "\u0120Lodge": 27046, "\u0120planetary": 27047, "akin": 27048, "\u0120Registered": 27049, "abwe": 27050, "\u0120Petersburg": 27051, "\u0120hailed": 27052, "\u0120Piece": 27053, "Sche": 27054, "\u0120DOJ": 27055, "\u0120enumer": 27056, "181": 27057, "\u0120Observer": 27058, "\u0120Bold": 27059, "founded": 27060, "commerce": 27061, "\u0120exploits": 27062, "\u0120Finding": 27063, "URN": 27064, "\u0120Sne": 27065, "\u0120Acid": 27066, "ayette": 27067, "\u0120Values": 27068, "\u0120drastic": 27069, "\u0120architectural": 27070, "\u0120\".": 27071, "\u00d7\u0137": 27072, "umped": 27073, "\u0120wrapping": 27074, "\u0120widow": 27075, "\u0120Slayer": 27076, "lace": 27077, "once": 27078, "Germany": 27079, "avoid": 27080, "\u0120temples": 27081, "PAR": 27082, "\u00c3\u00b4": 27083, "\u0120Lucifer": 27084, "\u0120Flickr": 27085, "lov": 27086, "forces": 27087, "\u0120scouting": 27088, "\u0120louder": 27089, "tesy": 27090, "\u0120beforehand": 27091, "\u00c4\u0135": 27092, "\u0120Neon": 27093, "\u0120Wol": 27094, "\u0120Typically": 27095, "\u0120Politico": 27096, "-+-+": 27097, "\u0120builder": 27098, "\u0120derive": 27099, "Kill": 27100, "\u0120poker": 27101, "\u0120ambiguous": 27102, "\u0120lifts": 27103, "\u0120cyt": 27104, "\u0120ribs": 27105, "oodle": 27106, "\u0120Sounds": 27107, "hair": 27108, "\u0120Syndrome": 27109, "tf": 27110, "\u0120proportional": 27111, "uid": 27112, "\u0120pertaining": 27113, "\u0120Kindle": 27114, "\u0120Negro": 27115, "\u0120reiterated": 27116, "\u0120Tonight": 27117, "oths": 27118, "\u0120Cornell": 27119, "\u0120owing": 27120, "\u0120208": 27121, "elfare": 27122, "ocating": 27123, "\u0120Birds": 27124, "Subscribe": 27125, "\u0120essays": 27126, "\u0120burdens": 27127, "\u0120illustrations": 27128, "arious": 27129, "ERAL": 27130, "\u0120Calcul": 27131, "\u0120xen": 27132, "\u0120LinkedIn": 27133, "\u0120Jung": 27134, "\u0120redesign": 27135, "Connor": 27136, "296": 27137, "\u0120reversal": 27138, "\u0120Adelaide": 27139, "\u0120LL": 27140, "\u0120sinking": 27141, "\u0120gum": 27142, "USH": 27143, "capt": 27144, "\u0120Grimm": 27145, "\u0120footsteps": 27146, "\u0120CBD": 27147, "ispers": 27148, "\u0120prose": 27149, "Wednesday": 27150, "\u0120Movies": 27151, "edin": 27152, "\u0120overturned": 27153, "\u0120contentious": 27154, "USB": 27155, "~~~~~~~~~~~~~~~~": 27156, "\u0120Copper": 27157, "\u0120pointless": 27158, "NV": 27159, "values": 27160, "olphin": 27161, "dain": 27162, "\u0120deposited": 27163, "\u0120GW": 27164, "\u0120preceded": 27165, "\u0120Cla": 27166, "\u0120Golem": 27167, "\u0120Nim": 27168, "\u0120\u00ce\u00b2": 27169, "\u0120Engineers": 27170, "middle": 27171, "\u0120flatt": 27172, "operative": 27173, "\u0120councils": 27174, "imbabwe": 27175, "elin": 27176, "\u0120stressful": 27177, "\u0120LD": 27178, "\u0120resh": 27179, "lake": 27180, "\u0120wheelchair": 27181, "\u0120Alternative": 27182, "\u0120optimize": 27183, "operation": 27184, "\u0120peek": 27185, "\u0120oneself": 27186, "igil": 27187, "\u0120transitions": 27188, "opathy": 27189, "blank": 27190, "\u0120169": 27191, "171": 27192, "________________________________________________________________": 27193, "\u0120laundering": 27194, "Enc": 27195, "\u0120DEC": 27196, "\u0120workouts": 27197, "\u0120spikes": 27198, "\u0120dinosaurs": 27199, "\u0120discriminatory": 27200, "Pool": 27201, "Rather": 27202, "385": 27203, "RNA": 27204, "testers": 27205, "eto": 27206, "\u0120Identity": 27207, "\u0120vein": 27208, "\u0120Burton": 27209, "\u0120arcade": 27210, "420": 27211, "Ultimately": 27212, "\u0120Sadly": 27213, "\u00c3\u00b0": 27214, "pill": 27215, "\u0120cubic": 27216, "\u0120Spectrum": 27217, "these": 27218, "states": 27219, "\u0120unofficial": 27220, "hawks": 27221, "\u0120EVERY": 27222, "\u0120rainbow": 27223, "\u0120incarceration": 27224, "anding": 27225, "\u0120syll": 27226, "\u0120Everton": 27227, "\u0120179": 27228, "\u0120Serbia": 27229, "\u0120189": 27230, "meter": 27231, "\u0120Mickey": 27232, "\u0120antiqu": 27233, "\u0120factual": 27234, "neck": 27235, "\u0120Nare": 27236, "norm": 27237, "must": 27238, "\u0120highways": 27239, "\u0120glam": 27240, "\u0120dividing": 27241, "\u0120Squadron": 27242, "\u0120Martha": 27243, "\u0120births": 27244, "Cover": 27245, "////////////////": 27246, "\u0120Wong": 27247, "Phot": 27248, "\u0120ALS": 27249, "rio": 27250, "\u0120Nonetheless": 27251, "\u0120Lemon": 27252, "\u0120206": 27253, "\u0120EE": 27254, "\u0120derivative": 27255, "\u0120WWII": 27256, "vote": 27257, "\u0120therein": 27258, "\u0120separating": 27259, "446": 27260, "sync": 27261, "\u0120Streets": 27262, "\u0120ratt": 27263, "\u0120municipality": 27264, "\u0120Shortly": 27265, "\u0120monk": 27266, "),\"": 27267, "\u0120scrub": 27268, "\u0120operatives": 27269, "Neither": 27270, "Place": 27271, "\u0120Limit": 27272, "Female": 27273, "\u0120Actor": 27274, "Character": 27275, "\u0120constituted": 27276, "357": 27277, "\u0120protested": 27278, "\u0120Straw": 27279, "\u0120Height": 27280, "ilda": 27281, "\u0120Typh": 27282, "\u0120floods": 27283, "\u0120cosmetic": 27284, "WAY": 27285, "perture": 27286, "upon": 27287, "tons": 27288, "essing": 27289, "\u0120Pocket": 27290, "\u0120rooft": 27291, "\u0120Caucas": 27292, "\u0120antidepress": 27293, "\u0120incompatible": 27294, "ECD": 27295, "\u0120opera": 27296, "\u0120Contest": 27297, "\u0120generators": 27298, "lime": 27299, "Defense": 27300, "1987": 27301, "forum": 27302, "\u0120savage": 27303, "\u0120Hungarian": 27304, "nz": 27305, "\u0120metallic": 27306, "\u0120expelled": 27307, "\u0120residency": 27308, "\u0120dresses": 27309, "666": 27310, "\u0120Clement": 27311, "fires": 27312, "Category": 27313, "\u0120geek": 27314, "alis": 27315, "\u0120cemetery": 27316, "educated": 27317, "\u0120crawl": 27318, "\u0120Unable": 27319, "\u0120Tyson": 27320, "akis": 27321, "\u0120pardon": 27322, "\u0120Wra": 27323, "\u0120strengthened": 27324, "\u0120Fors": 27325, "335": 27326, "\u0120HC": 27327, "\u0120Mond": 27328, "\u0120visuals": 27329, "\u0120Beatles": 27330, "ettlement": 27331, "\u0120\u00ef": 27332, "gro": 27333, "\u0120bash": 27334, "\u0120poorest": 27335, "\u0120excel": 27336, "\u0120aspirations": 27337, "\u0120Municip": 27338, "ensible": 27339, "\u0120ceremonies": 27340, "\u0120intimidation": 27341, "\u0120CONTR": 27342, "beck": 27343, "\u0120Kap": 27344, "asu": 27345, "\u0120trademarks": 27346, "\u0120Sew": 27347, "\u0120Competition": 27348, "network": 27349, "\u0120Arri": 27350, "\u0120Tet": 27351, "Roaming": 27352, "WC": 27353, "Dat": 27354, "\u0120sob": 27355, "\u0120pairing": 27356, "\u0120overdose": 27357, "SAY": 27358, "aber": 27359, "\u0120revolt": 27360, "\u0120Fah": 27361, "acting": 27362, "eq": 27363, "estation": 27364, "Fight": 27365, "\u0120Marks": 27366, "273": 27367, "\u0120178": 27368, "Raw": 27369, "\u00e3\u0123\u012d": 27370, "349": 27371, "blocks": 27372, "\u0120verge": 27373, "estine": 27374, "\u0120Podesta": 27375, "\u0120invasive": 27376, "\u0120profoundly": 27377, "\u0120Ao": 27378, "each": 27379, "\u0120lest": 27380, "interpret": 27381, "\u0120shrinking": 27382, "\u0120errone": 27383, "\u0120chees": 27384, "lys": 27385, "\u0120Ivy": 27386, "\u0120Directory": 27387, "\u0120hinted": 27388, "VICE": 27389, "\u0120contacting": 27390, "\u0120Gent": 27391, "hei": 27392, "\u0120labeling": 27393, "\u0120mercury": 27394, "\u0120Lite": 27395, "\u0120expires": 27396, "\u0120destabil": 27397, "ritis": 27398, "cu": 27399, "\u0120feathers": 27400, "\u0120steer": 27401, "\u0120programmed": 27402, "\u0120Vader": 27403, "Going": 27404, "\u0120Elim": 27405, "\u0120yo": 27406, "\u0120Miche": 27407, "\u0120203": 27408, "\u0120sleeves": 27409, "\u0120bully": 27410, "\u0120Humans": 27411, "368": 27412, "\u0120compress": 27413, "\u0120Banner": 27414, "ARS": 27415, "\u0120awhile": 27416, "\u0120calib": 27417, "\u0120sponsorship": 27418, "\u0120Difficulty": 27419, "\u0120Papers": 27420, "\u0120identifier": 27421, "}.": 27422, "\u0120yog": 27423, "\u0120Shia": 27424, "\u0120cleanup": 27425, "\u0120vibe": 27426, "introdu": 27427, "imming": 27428, "Australia": 27429, "\u0120outlines": 27430, "\u0120Youtube": 27431, "train": 27432, "\u0120Makes": 27433, "\u0120deported": 27434, "\u0120centr": 27435, "\u0120Dug": 27436, "\u0120Boulder": 27437, "\u0120Buffy": 27438, "\u0120injunction": 27439, "\u0120Harley": 27440, "\u0120Groups": 27441, "\u0120Dumbledore": 27442, "\u0120Clara": 27443, "\u0120\"-": 27444, "\u0120sacrificed": 27445, "eph": 27446, "Shadow": 27447, "ibling": 27448, "\u0120freelance": 27449, "\u0120evidently": 27450, "phal": 27451, "\u0120retains": 27452, "Mir": 27453, "\u0120finite": 27454, "dar": 27455, "\u0120Cous": 27456, "\u0120repaired": 27457, "\u0120periodic": 27458, "\u0120championships": 27459, "\u0120asteroid": 27460, "blind": 27461, "\u0120expressly": 27462, "\u0120Astros": 27463, "\u0120scaled": 27464, "\u0120geographical": 27465, "\u0120Rapids": 27466, "Enjoy": 27467, "\u0120elastic": 27468, "\u0120Mohamed": 27469, "Market": 27470, "begin": 27471, "\u0120discovers": 27472, "\u0120telecommunications": 27473, "\u0120scanner": 27474, "\u0120enlarge": 27475, "\u0120sharks": 27476, "\u0120psychedel": 27477, "\u0120Rouge": 27478, "\u0120snapshot": 27479, "isine": 27480, "XP": 27481, "\u0120pesticides": 27482, "\u0120LSD": 27483, "\u0120Distribution": 27484, "really": 27485, "\u0120degradation": 27486, "\u0120disguise": 27487, "\u0120biom": 27488, "\u0120EXT": 27489, "\u0120equations": 27490, "\u0120hazards": 27491, "\u0120Compared": 27492, ")*": 27493, "\u0120virtues": 27494, "\u0120elders": 27495, "\u0120enhancing": 27496, "\u0120Across": 27497, "eros": 27498, "angling": 27499, "\u0120combust": 27500, "ucci": 27501, "\u0120concussion": 27502, "\u0120contraception": 27503, "\u0120Kang": 27504, "\u0120expresses": 27505, "\u0120aux": 27506, "\u0120Pione": 27507, "\u0120exhibits": 27508, "Debug": 27509, "OTAL": 27510, "\u0120Already": 27511, "\u0120Wheeler": 27512, "\u0120expands": 27513, "?:": 27514, "\u0120reconciliation": 27515, "\u0120pirates": 27516, "\u0120purse": 27517, "\u0120discourage": 27518, "\u0120spectacle": 27519, "Rank": 27520, "\u0120wraps": 27521, "\u0120Thought": 27522, "\u0120impending": 27523, "Opp": 27524, "\u0120Anglo": 27525, "\u0120EUR": 27526, "\u0120screwed": 27527, "retched": 27528, "\u0120encouragement": 27529, "models": 27530, "\u0120confuse": 27531, "mmm": 27532, "\u0120Vitamin": 27533, "\u00e2\u0138\u0133\u00e2\u0138\u0133": 27534, "Cru": 27535, "\u0120knights": 27536, "\u0120discard": 27537, "\u0120bishops": 27538, "\u0120Wear": 27539, "\u0120Garrett": 27540, "kan": 27541, "\u00e3\u0125\u0141": 27542, "\u0120masculine": 27543, "capital": 27544, "\u0120Aus": 27545, "\u0120fatally": 27546, "thanks": 27547, "\u0120AU": 27548, "\u0120Gut": 27549, "1200": 27550, "\u012000000000": 27551, "\u0120surrog": 27552, "\u0120BIOS": 27553, "raits": 27554, "\u0120Watts": 27555, "\u0120resurrection": 27556, "\u0120Electoral": 27557, "\u0120Tips": 27558, "4000": 27559, "\u0120nutrient": 27560, "\u0120depicting": 27561, "\u0120sprink": 27562, "\u0120muff": 27563, "\u0120LIM": 27564, "\u0120Sample": 27565, "psc": 27566, "ibi": 27567, "generated": 27568, "\u0120specimens": 27569, "\u0120dissatisf": 27570, "\u0120tailored": 27571, "\u0120holdings": 27572, "\u0120Monthly": 27573, "\u0120Eat": 27574, "poons": 27575, "\u0120nec": 27576, "\u0120Cage": 27577, "\u0120Lotus": 27578, "\u0120Lantern": 27579, "\u0120frontier": 27580, "\u0120pensions": 27581, "\u0120joked": 27582, "\u0120Hardy": 27583, "=-=-=-=-": 27584, "rade": 27585, "UID": 27586, "\u0120rails": 27587, "\u0120emit": 27588, "\u0120slate": 27589, "\u0120smug": 27590, "\u0120spit": 27591, "\u0120Calls": 27592, "\u0120Jacobs": 27593, "feat": 27594, "\u0120UE": 27595, "\u0120restruct": 27596, "\u0120regeneration": 27597, "\u0120energies": 27598, "\u0120Connor": 27599, "OHN": 27600, "\u0120Cheese": 27601, "\u0120ger": 27602, "\u0120resurrect": 27603, "management": 27604, "NW": 27605, "\u0120presently": 27606, "\u0120Bruins": 27607, "Member": 27608, "\u0120Mang": 27609, "idan": 27610, "\u0120boosting": 27611, "wyn": 27612, "+.": 27613, "requisite": 27614, "\u0120NYPD": 27615, "\u0120Megan": 27616, "\u0120Conditions": 27617, "\u0120pics": 27618, "nesium": 27619, "\u0120Rash": 27620, "\u0120174": 27621, "\u0120Ducks": 27622, "\u0120embro": 27623, "zu": 27624, "onian": 27625, "religious": 27626, "\u0120craz": 27627, "\u0120ACA": 27628, "\u0120Zucker": 27629, "EMA": 27630, "\u0120Pros": 27631, "Weapon": 27632, "\u0120Knox": 27633, "\u0120Arduino": 27634, "\u0120stove": 27635, "\u0120heavens": 27636, "\u0120Purchase": 27637, "\u0120herd": 27638, "\u0120fundraiser": 27639, "Digital": 27640, "5000": 27641, "\u0120proponents": 27642, "/\u00e2\u0122\u012d": 27643, "\u0120jelly": 27644, "\u0120Visa": 27645, "\u0120monks": 27646, "\u0120advancement": 27647, "\u0120Wer": 27648, "\u0120187": 27649, "eus": 27650, "ertility": 27651, "\u0120fetal": 27652, "\u01201936": 27653, "Lo": 27654, "\u0120outfits": 27655, "\u0120staircase": 27656, "bomb": 27657, "\u0120customized": 27658, "clair": 27659, "Tree": 27660, "\u0120mapped": 27661, "\u0120Considering": 27662, "\u0120Torres": 27663, "\u0120methyl": 27664, "\u0120approximate": 27665, "\u0120doom": 27666, "\u0120Hansen": 27667, "\u0120crossover": 27668, "\u0120standalone": 27669, "\u00e4\u00bc": 27670, "\u0120invites": 27671, "\u0120graveyard": 27672, "\u0120hp": 27673, "DonaldTrump": 27674, "\u0120escort": 27675, "Gar": 27676, "\u0120predecessors": 27677, "\u0120hay": 27678, "\u0120enzyme": 27679, "\u0120Straight": 27680, "visors": 27681, "Ing": 27682, "aneously": 27683, "\u0120Applied": 27684, "\u0120fec": 27685, "\u0120Durant": 27686, "\u0120outspoken": 27687, "orb": 27688, "\u0120zeal": 27689, "\u0120disgrace": 27690, "').": 27691, "\u0120Cheng": 27692, "289": 27693, "\u0120Rena": 27694, "\u0120Suicide": 27695, "294": 27696, "\u0120outraged": 27697, "\u0120Newman": 27698, "\u0120Nvidia": 27699, "\u0120Aber": 27700, "\u0120Bers": 27701, "\u0120recreation": 27702, "Window": 27703, "\u0120DP": 27704, "xe": 27705, "\u0120pedoph": 27706, "\u0120fallout": 27707, "amboo": 27708, "\u0120presentations": 27709, "\u0120Apps": 27710, "\u0120html": 27711, "345": 27712, "\u0120XXX": 27713, "\u0120rubbing": 27714, "\u0120Leather": 27715, "\u0120humidity": 27716, "seys": 27717, "established": 27718, "\u0120Units": 27719, "646": 27720, "\u0120respectable": 27721, "Auto": 27722, "\u0120thriving": 27723, "\u0120Innovation": 27724, "angs": 27725, "Extra": 27726, "regulation": 27727, "298": 27728, "pick": 27729, "Examples": 27730, "\u0120CJ": 27731, "Attack": 27732, "\u0120dracon": 27733, "LT": 27734, "\u0120sticker": 27735, "rers": 27736, "\u0120sunny": 27737, "Iss": 27738, "regulated": 27739, "dim": 27740, "\u0120Abstract": 27741, "\u0120husbands": 27742, "Office": 27743, "omination": 27744, "itars": 27745, "ANGE": 27746, "ascal": 27747, "\u0120Kris": 27748, "\u0120Infantry": 27749, "\u0120malf": 27750, "\u0120Athe": 27751, "\u0120Rally": 27752, "balanced": 27753, "........................": 27754, "OUP": 27755, "\u0120molecule": 27756, "metics": 27757, "\u0120Split": 27758, "\u0120Instructions": 27759, "\u0120Nights": 27760, "cards": 27761, "\u0120tug": 27762, "\u0120cone": 27763, "\u00e5\u0143": 27764, "\u0120tx": 27765, "\u0120Discussion": 27766, "\u0120catastrophe": 27767, "ppe": 27768, "gio": 27769, "\u0120communism": 27770, "\u0120halted": 27771, "\u0120Guant": 27772, "clean": 27773, "\u0120Sched": 27774, "\u0120Kanye": 27775, "\u0120wander": 27776, "\u0120Seriously": 27777, "\u0120188": 27778, "ennial": 27779, "follow": 27780, "productive": 27781, "\u0120Flow": 27782, "\u0120Sail": 27783, "\u0120craw": 27784, "\u0120simulations": 27785, "oru": 27786, "angles": 27787, "\u0120Nolan": 27788, "\u0120menstru": 27789, "470": 27790, "\u0120207": 27791, "aja": 27792, "\u0120casually": 27793, "boarding": 27794, "\u0120222": 27795, "ovy": 27796, "\u0120Numbers": 27797, "umat": 27798, "OE": 27799, "287": 27800, "\u0120Clemson": 27801, "\u0120certs": 27802, "\u0120slid": 27803, "\u0120Tribe": 27804, "\u0120toast": 27805, "\u0120fortunes": 27806, "\u0120fals": 27807, "\u0120Committees": 27808, "\u0120gp": 27809, "\u0120fiery": 27810, "\u0120Nets": 27811, "\u0120Anime": 27812, "Package": 27813, "\u0120Compare": 27814, "laughter": 27815, "infect": 27816, "\u0120atrocities": 27817, "\u0120justices": 27818, "\u0120insults": 27819, "\u0120Vernon": 27820, "\u0120shaken": 27821, "\u0120persona": 27822, "estamp": 27823, "367": 27824, "brain": 27825, "\u0120experimenting": 27826, "Ken": 27827, "\u0120Electronics": 27828, "\u0120161": 27829, "domain": 27830, "\u0120graphical": 27831, "bishop": 27832, "\u0120whopping": 27833, "\u0120Evangel": 27834, "\u0120advertisers": 27835, "\u0120Spear": 27836, "\u0120bids": 27837, "\u0120destroys": 27838, "utz": 27839, "\u0120undersc": 27840, "\u0120ADD": 27841, "\u0120ants": 27842, "\u0120Cum": 27843, "ipples": 27844, "\u0120Fill": 27845, "\u0120glanced": 27846, "\u0120indicted": 27847, "\u0120Eff": 27848, "\u0120miscon": 27849, "\u0120Desktop": 27850, "\u0120abide": 27851, "\u00e3\u0125\u0122": 27852, "\u0120Io": 27853, "\u0120Coul": 27854, "\u0120capsule": 27855, "\u0120Chrys": 27856, "MON": 27857, "\u0120undes": 27858, "\u0120IRA": 27859, "\u0120citation": 27860, "\u0120dictate": 27861, "\u0120Networks": 27862, "\u0120Conflict": 27863, "\u0120Stuff": 27864, "xa": 27865, "isec": 27866, "\u0120Chemistry": 27867, "\u0120quarterly": 27868, "Williams": 27869, "anan": 27870, "Opt": 27871, "\u0120Alexandria": 27872, "outheastern": 27873, "\u0120Springfield": 27874, "\u0120Blacks": 27875, "\u0120geography": 27876, "242": 27877, "\u0120utmost": 27878, "\u0120Exxon": 27879, "abouts": 27880, "EVA": 27881, "\u0120Enable": 27882, "\u0120Barr": 27883, "\u0120disagreed": 27884, "\u0120Cyprus": 27885, "\u0120dementia": 27886, "\u0120labs": 27887, "\u0120ubiquitous": 27888, "\u0120LOVE": 27889, "\u0120consolidated": 27890, "sr": 27891, "\u0120creamy": 27892, "\u0120Timber": 27893, "Regardless": 27894, "\u0120Certificate": 27895, "\u0120\"...": 27896, "ogenous": 27897, "Captain": 27898, "\u0120insulting": 27899, "\u0120Soros": 27900, "\u0120Instr": 27901, "\u0120Bulgaria": 27902, "better": 27903, "\u0120sucking": 27904, "\u0120Davidson": 27905, "atz": 27906, "\u0120collateral": 27907, "gif": 27908, "\u0120plagued": 27909, "\u0120Cancel": 27910, "\u0120Gardner": 27911, "RB": 27912, "\u0120sixteen": 27913, "Remove": 27914, "uristic": 27915, "cook": 27916, "Rod": 27917, "\u0120comprising": 27918, "fle": 27919, ")\u00e2\u0122\u0136": 27920, "\u0120Viking": 27921, "growth": 27922, "agonal": 27923, "\u0120srf": 27924, "afety": 27925, "mot": 27926, "Nearly": 27927, "stown": 27928, "\u0120Factor": 27929, "\u0120automobile": 27930, "\u0120procedural": 27931, "mask": 27932, "ampires": 27933, "\u0120disappears": 27934, "jab": 27935, "315": 27936, "\u01201951": 27937, "needed": 27938, "\u0120daring": 27939, "leader": 27940, "\u0120podium": 27941, "\u0120unhealthy": 27942, "\u0120mund": 27943, "\u0120pyramid": 27944, "ocre": 27945, "\u0120kissed": 27946, "\u0120dreamed": 27947, "\u0120Fantastic": 27948, "\u0120Gly": 27949, "\u00e5\u012c": 27950, "\u0120greatness": 27951, "\u0120spices": 27952, "\u0120metropolitan": 27953, "\u0120compuls": 27954, "iets": 27955, "1016": 27956, "\u0120Sham": 27957, "\u0120Pyr": 27958, "flies": 27959, "\u0120Midnight": 27960, "\u0120swallowed": 27961, "\u0120genres": 27962, "\u0120Lucky": 27963, "\u0120Rewards": 27964, "\u0120dispatch": 27965, "\u0120IPA": 27966, "\u0120Apply": 27967, "\u0120aven": 27968, "alities": 27969, "312": 27970, "things": 27971, "\u0120().": 27972, "\u0120mates": 27973, "\u0120Sz": 27974, "\u0120COP": 27975, "olate": 27976, "OFF": 27977, "\u0120recharge": 27978, "caps": 27979, "\u0120Yorker": 27980, "icone": 27981, "\u0120galaxies": 27982, "ileaks": 27983, "Dave": 27984, "\u0120Puzz": 27985, "\u0120Celtic": 27986, "\u0120AFC": 27987, "276": 27988, "\u0120Sons": 27989, "\u0120affirmative": 27990, "Hor": 27991, "\u0120tutorials": 27992, "\u0120CITY": 27993, "\u0120Rosa": 27994, "\u0120Extension": 27995, "Series": 27996, "\u0120fats": 27997, "\u0120rab": 27998, "lis": 27999, "\u0120unic": 28000, "\u0120eve": 28001, "\u0120Spin": 28002, "\u0120adulthood": 28003, "typ": 28004, "\u0120sectarian": 28005, "\u0120checkout": 28006, "\u0120Cycl": 28007, "Single": 28008, "\u0120martyr": 28009, "\u0120chilling": 28010, "888": 28011, "oufl": 28012, "\u0120];": 28013, "\u0120congestion": 28014, "mk": 28015, "\u0120Whereas": 28016, "\u01201938": 28017, "urrencies": 28018, "erion": 28019, "\u0120boast": 28020, "\u0120Patients": 28021, "\u0120chap": 28022, "\u0120BD": 28023, "realDonaldTrump": 28024, "\u0120examines": 28025, "hov": 28026, "\u0120startling": 28027, "\u0120Babylon": 28028, "wid": 28029, "omew": 28030, "brance": 28031, "\u0120Odyssey": 28032, "wig": 28033, "\u0120torch": 28034, "\u0120Vox": 28035, "\u0120Moz": 28036, "\u0120Troll": 28037, "\u0120Ans": 28038, "Similarly": 28039, "\u0120Ful": 28040, "006": 28041, "Unless": 28042, "\u0120Alone": 28043, "stead": 28044, "\u0120Publisher": 28045, "rights": 28046, "tu": 28047, "\u0120Doesn": 28048, "\u0120professionally": 28049, "\u0120clo": 28050, "icz": 28051, "\u0120steals": 28052, "\u0120\u00e1": 28053, "1986": 28054, "\u0120sturdy": 28055, "\u0120Johann": 28056, "\u0120medals": 28057, "\u0120filings": 28058, "\u0120Fraser": 28059, "done": 28060, "\u0120multinational": 28061, "\u0120feder": 28062, "\u0120worthless": 28063, "\u0120pest": 28064, "Yesterday": 28065, "ankind": 28066, "\u0120gays": 28067, "\u0120borne": 28068, "\u0120POS": 28069, "Picture": 28070, "\u0120percentages": 28071, "251": 28072, "rame": 28073, "\u0120potions": 28074, "AMD": 28075, "\u0120Lebanese": 28076, "\u0120rang": 28077, "\u0120LSU": 28078, "ongs": 28079, "\u0120peninsula": 28080, "\u0120Clause": 28081, "ALK": 28082, "oha": 28083, "\u0120MacBook": 28084, "\u0120unanimous": 28085, "\u0120lenders": 28086, "\u0120hangs": 28087, "\u0120franchises": 28088, "orers": 28089, "\u0120Updates": 28090, "\u0120isolate": 28091, "andro": 28092, "Soon": 28093, "\u0120disruptive": 28094, "\u0120Surve": 28095, "\u0120stitches": 28096, "\u0120Scorp": 28097, "\u0120Dominion": 28098, "\u0120supplying": 28099, "Arg": 28100, "\u0120turret": 28101, "\u0120Luk": 28102, "\u0120brackets": 28103, "*)": 28104, "\u0120Revolutionary": 28105, "\u0120Honest": 28106, "\u0120noticing": 28107, "\u0120Shannon": 28108, "\u0120afforded": 28109, "\u0120tha": 28110, "\u0120Janet": 28111, "!--": 28112, "\u0120Narendra": 28113, "\u0120Plot": 28114, "Hol": 28115, "sever": 28116, "eenth": 28117, "\u0120obstruction": 28118, "\u01201024": 28119, "staff": 28120, "jas": 28121, "orget": 28122, "scenes": 28123, "laughs": 28124, "\u0120Fargo": 28125, "crime": 28126, "\u0120orchestr": 28127, "\u0120delet": 28128, "iliary": 28129, "rieved": 28130, "\u0120militar": 28131, "\u0120Greene": 28132, "\u00e2\u0139\u0131": 28133, "\u00e3\u0123\u00a6": 28134, "\u0120Guards": 28135, "\u0120unleashed": 28136, "\u0120Weber": 28137, "\u0120adjustable": 28138, "\u0120caliber": 28139, "\u0120motivations": 28140, "\u0120\u00c3\u0142": 28141, "mAh": 28142, "\u0120Lanka": 28143, "handle": 28144, "\u0120pent": 28145, "\u0120Rav": 28146, "\u0120Angular": 28147, "\u0120Kau": 28148, "umbing": 28149, "\u0120philanthrop": 28150, "\u0120dehyd": 28151, "\u0120toxicity": 28152, "eer": 28153, "\u0120YORK": 28154, "witz": 28155, "\u00e5\u00bc": 28156, "\u0120IE": 28157, "community": 28158, "\u0120AH": 28159, "\u0120retali": 28160, "\u0120massively": 28161, "\u0120Daniels": 28162, "\u0120DEL": 28163, "\u0120carcin": 28164, "Url": 28165, "\u0120routing": 28166, "\u0120NPCs": 28167, "\u0120RAF": 28168, "ryce": 28169, "\u0120waived": 28170, "\u0120Guatem": 28171, "Everybody": 28172, "\u0120covenant": 28173, "\u0120173": 28174, "\u0120relaxing": 28175, "\u0120quart": 28176, "almost": 28177, "\u0120guarded": 28178, "\u0120Soldiers": 28179, "\u0120PLAY": 28180, "\u0120outgoing": 28181, "LAND": 28182, "\u0120rewrite": 28183, "\u0120MOV": 28184, "\u0120Imper": 28185, "\u0120Solution": 28186, "\u0120phenomenal": 28187, "\u0120longevity": 28188, "\u0120impat": 28189, "\u0120Nissan": 28190, "irie": 28191, "\u0120odor": 28192, "\u0120Zar": 28193, "oks": 28194, "\u0120militias": 28195, "\u0120SPEC": 28196, "\u0120tolerated": 28197, "arser": 28198, "\u0120Bradford": 28199, "+,": 28200, "\u0120surreal": 28201, "sf": 28202, "Canadian": 28203, "\u0120resemblance": 28204, "\u0120carbohydrate": 28205, "VIEW": 28206, "\u0120accessory": 28207, "meal": 28208, "largest": 28209, "iegel": 28210, "Someone": 28211, "\u0120toughest": 28212, "oso": 28213, "\u0120funnel": 28214, "\u0120condemnation": 28215, "luent": 28216, "\u0120wired": 28217, "\u0120Sunset": 28218, "Jesus": 28219, "\u0120PST": 28220, "\u0120Pages": 28221, "\u0120Tycoon": 28222, "\u0120PF": 28223, "\u0120selections": 28224, "\u0120\u00e0\u00a4": 28225, "partisan": 28226, "\u0120highs": 28227, "\u0120Rune": 28228, "\u0120crafts": 28229, "lead": 28230, "\u0120Parents": 28231, "\u0120reclaim": 28232, "eker": 28233, "\u0120Allied": 28234, "aeper": 28235, "\u0120looming": 28236, "\u0120beneficiaries": 28237, "\u0120Hull": 28238, "Students": 28239, "Jewish": 28240, "dj": 28241, "\u0120pact": 28242, "template": 28243, "\u0120Officials": 28244, "\u0120Baylor": 28245, "\u0120hemp": 28246, "\u0120youths": 28247, "\u0120Levels": 28248, "\u0120Xiao": 28249, "\u0120Ches": 28250, "\u0120endeavor": 28251, "\u0120Removed": 28252, "\u0120hippocamp": 28253, "Hell": 28254, "\u00e3\u0124\u012c": 28255, "805": 28256, "\u0120dinosaur": 28257, "\u0120Wrath": 28258, "\u0120Indonesian": 28259, "\u0120calculator": 28260, "\u0120Dictionary": 28261, "\u0120420": 28262, "\u0120MAG": 28263, "(_": 28264, "!,": 28265, "tarians": 28266, "\u0120restricting": 28267, "racuse": 28268, "\u0120weekday": 28269, "OUNT": 28270, "\u0120shrugged": 28271, "leground": 28272, "\u0120bald": 28273, "\u0120Doctors": 28274, "\u0120touted": 28275, "\u0120Maxwell": 28276, "\u0120214": 28277, "\u0120diplomat": 28278, "\u0120repression": 28279, "\u0120constituency": 28280, "vice": 28281, "ranked": 28282, "\u0120Napoleon": 28283, "gang": 28284, "\u0120Forever": 28285, "tun": 28286, "\u0120bulb": 28287, "\u0120PDT": 28288, "\u0120Cisco": 28289, "VEN": 28290, "\u0120resumed": 28291, "Steven": 28292, "\u0120Manitoba": 28293, "\u0120fabulous": 28294, "\u0120Agents": 28295, "1984": 28296, "\u0120amusing": 28297, "\u0120Mysteries": 28298, "\u0120orthodox": 28299, "floor": 28300, "\u0120questionnaire": 28301, "\u0120penetrate": 28302, "\u0120filmmakers": 28303, "\u0120Unc": 28304, "\u0120stamped": 28305, "\u0120thirteen": 28306, "\u0120outfield": 28307, "\u0120forwarded": 28308, "\u0120appra": 28309, "\u0120aided": 28310, "try": 28311, "\u0120unfocused": 28312, "\u0120Liz": 28313, "\u0120Wendy": 28314, "\u0120Scene": 28315, "Charg": 28316, "\u0120rejects": 28317, "\u0120leftist": 28318, "\u0120Providence": 28319, "\u0120Brid": 28320, "regn": 28321, "\u0120prophecy": 28322, "\u0120LIVE": 28323, "499": 28324, "\u0120forge": 28325, "\u0120FML": 28326, "\u0120intrinsic": 28327, "\u0120Frog": 28328, "\u0120wont": 28329, "\u0120Holt": 28330, "\u0120famed": 28331, "CLUS": 28332, "aepernick": 28333, "\u0120Hate": 28334, "\u0120Cay": 28335, "\u0120registering": 28336, "ortality": 28337, "ropy": 28338, "ocalyptic": 28339, "aan": 28340, "nav": 28341, "\u0120fascist": 28342, "IFIED": 28343, "\u0120implicated": 28344, "\u0120Resort": 28345, "\u0120Chandler": 28346, "\u0120Brick": 28347, "Pin": 28348, "ysc": 28349, "Usage": 28350, "\u0120Helm": 28351, "usra": 28352, "\u00e2\u013a\u0127\u00e2\u013a\u0127": 28353, "\u0120Abbas": 28354, "\u0120unanimously": 28355, "\u0120keeper": 28356, "\u0120addicted": 28357, "???": 28358, "\u0120helmets": 28359, "\u0120antioxid": 28360, "apsed": 28361, "808": 28362, "giene": 28363, "\u0120waits": 28364, "\u0120minion": 28365, "raved": 28366, "\u0120Porsche": 28367, "\u0120dreaming": 28368, "\u0120171": 28369, "\u0120Cain": 28370, "\u0120unfor": 28371, "asso": 28372, "\u0120Configuration": 28373, "kun": 28374, "hardt": 28375, "\u0120nested": 28376, "\u0120LDS": 28377, "LES": 28378, "\u0120tying": 28379, "enos": 28380, "\u0120cue": 28381, "\u0120Marqu": 28382, "skirts": 28383, "\u0120clicked": 28384, "\u0120expiration": 28385, "\u0120Accordingly": 28386, "\u0120WC": 28387, "\u0120blessings": 28388, "\u0120addictive": 28389, "\u0120Narr": 28390, "yx": 28391, "\u0120Jaguars": 28392, "\u0120rents": 28393, "\u0120Siber": 28394, "\u0120tipped": 28395, "ousse": 28396, "\u0120Fitzgerald": 28397, "\u0120hierarch": 28398, "outine": 28399, "\u0120wavelength": 28400, ">.": 28401, "chid": 28402, "\u0120Processing": 28403, "/+": 28404, "ranking": 28405, "Easy": 28406, "\u0120Construct": 28407, "\u0120tet": 28408, "insured": 28409, "HUD": 28410, "\u0120quoting": 28411, "\u0120communicated": 28412, "inx": 28413, "\u0120inmate": 28414, "\u0120erected": 28415, "\u0120Absolutely": 28416, "\u0120Surely": 28417, "\u0120unim": 28418, "\u0120Throne": 28419, "heid": 28420, "\u0120claws": 28421, "\u0120superstar": 28422, "\u0120Lenn": 28423, "\u0120Whis": 28424, "Uk": 28425, "abol": 28426, "\u0120sket": 28427, "\u0120Niet": 28428, "\u0120perks": 28429, "\u0120affinity": 28430, "\u0120openings": 28431, "phasis": 28432, "\u0120discriminate": 28433, "Tip": 28434, "vc": 28435, "\u0120grinding": 28436, "\u0120Jenny": 28437, "\u0120asthma": 28438, "holes": 28439, "\u0120Homer": 28440, "\u0120registers": 28441, "\u0120Glad": 28442, "\u0120creations": 28443, "\u0120lithium": 28444, "\u0120applause": 28445, "until": 28446, "Justice": 28447, "\u0120Turks": 28448, "\u0120scandals": 28449, "\u0120bake": 28450, "tank": 28451, "Mech": 28452, "\u0120Means": 28453, "\u0120Maid": 28454, "Republicans": 28455, "isal": 28456, "windows": 28457, "\u0120Santos": 28458, "\u0120vegetation": 28459, "338": 28460, "tri": 28461, "\u0120flux": 28462, "insert": 28463, "\u0120clarified": 28464, "\u0120mortg": 28465, "\u0120Chim": 28466, "\u0120Tort": 28467, "\u0120disclaim": 28468, "metal": 28469, "\u0120Aside": 28470, "\u0120induction": 28471, "\u0120infl": 28472, "\u0120atheists": 28473, "amph": 28474, "\u0120ether": 28475, "\u0120Vital": 28476, "\u0120Built": 28477, "Mind": 28478, "\u0120weaponry": 28479, "SET": 28480, "\u0120186": 28481, "admin": 28482, "gam": 28483, "contract": 28484, "afa": 28485, "\u0120derivatives": 28486, "\u0120snacks": 28487, "\u0120churn": 28488, "Econom": 28489, "\u0120capped": 28490, "\u0120Understanding": 28491, "\u0120Hers": 28492, "\u0120Iz": 28493, "\u0120duct": 28494, "IENT": 28495, "aughty": 28496, "\u0120\u00e2\u013e\u0136": 28497, "\u0120NP": 28498, "\u0120sailing": 28499, "Initialized": 28500, "\u0120ted": 28501, "\u0120reactors": 28502, "\u0120Lomb": 28503, "\u0120choke": 28504, "\u0120Worm": 28505, "\u0120admiration": 28506, "\u0120swung": 28507, "ensibly": 28508, "\u0120rash": 28509, "\u0120Goals": 28510, "\u0120Important": 28511, "Shot": 28512, "\u0120Ras": 28513, "\u0120trainers": 28514, "\u0120Bun": 28515, "Working": 28516, "\u0120harmed": 28517, "\u0120Pandora": 28518, "\u0120LTE": 28519, "\u0120mushroom": 28520, "\u0120CHAR": 28521, "\u0120Fee": 28522, "\u0120Moy": 28523, "Born": 28524, "oliberal": 28525, "\u0120Martial": 28526, "\u0120gentlemen": 28527, "\u0120lingering": 28528, "Official": 28529, "\u0120graffiti": 28530, "\u0120Names": 28531, "Der": 28532, "\u0120quint": 28533, "istrate": 28534, "azeera": 28535, "\u0120NOTICE": 28536, "\u0120Florence": 28537, "\u0120payable": 28538, "\u0120depicts": 28539, "\u0120Species": 28540, "Heart": 28541, "\u00e2\u0136\u0122\u00e2\u0136\u0122\u00e2\u0136\u0122\u00e2\u0136\u0122\u00e2\u0136\u0122\u00e2\u0136\u0122\u00e2\u0136\u0122\u00e2\u0136\u0122": 28542, "\u0120enclosed": 28543, "Increases": 28544, "Daily": 28545, "\u0120Lis": 28546, "\u0120enactment": 28547, "\u0120Bacon": 28548, "\u0120Steele": 28549, "demand": 28550, "\u0120183": 28551, "\u0120mouths": 28552, "\u0120stranded": 28553, "\u0120enhancement": 28554, "011": 28555, "\u0120Whats": 28556, "\u0120healed": 28557, "eny": 28558, "\u0120Rab": 28559, "\u0120340": 28560, "\u0120Labyrinth": 28561, "roach": 28562, "\u0120Yosh": 28563, "\u0120Clippers": 28564, "\u0120concerts": 28565, "Internet": 28566, "355": 28567, "\u0120stickers": 28568, "\u0120termed": 28569, "\u0120Axe": 28570, "\u0120grandparents": 28571, "France": 28572, "\u0120Clim": 28573, "\u0120Uh": 28574, "ulic": 28575, "\u0120thrill": 28576, "centric": 28577, "\u0120Overview": 28578, "\u0120Conduct": 28579, "\u0120substantive": 28580, "\u0120182": 28581, "mur": 28582, "\u0120stray": 28583, "\u0120Coff": 28584, "\u0120repetitive": 28585, "\u0120Forgotten": 28586, "\u0120qualification": 28587, "ewitness": 28588, "\u0120Zimbabwe": 28589, "\u0120simulated": 28590, "\u0120JD": 28591, "253": 28592, "\u0120Ware": 28593, "\u0120unsc": 28594, "Times": 28595, "\u0120summons": 28596, "\u0120disconnected": 28597, "\u0120184": 28598, "cius": 28599, "\u0120Gujar": 28600, "odka": 28601, "\u0120erase": 28602, "\u0120Tobacco": 28603, "elected": 28604, "\u0120uncont": 28605, "\u0120Shepard": 28606, "\u0120Lamp": 28607, "\u0120alerted": 28608, "\u0120operative": 28609, "arna": 28610, "uint": 28611, "\u0120negligence": 28612, "acements": 28613, "\u0120supra": 28614, "\u0120prevail": 28615, "\u0120Shark": 28616, "\u0120belts": 28617, "\u00e3\u0123\u00ab": 28618, "\u0120tighter": 28619, "Engineers": 28620, "\u0120inactive": 28621, "\u0120exponent": 28622, "\u0120Willie": 28623, "aples": 28624, "\u0120heir": 28625, "\u0120Hits": 28626, "iann": 28627, "\u0120Says": 28628, "\u0120currents": 28629, "\u0120Bengal": 28630, "\u0120arist": 28631, "Buffer": 28632, "\u0120breeze": 28633, "\u0120Wesley": 28634, "Cola": 28635, "\u0120pronoun": 28636, "\u0120deed": 28637, "\u0120Kling": 28638, "\u0120oft": 28639, "\u0120inflict": 28640, "\u0120punishing": 28641, "\u0120nm": 28642, "iku": 28643, "ODUCT": 28644, "014": 28645, "\u0120subsidy": 28646, "\u0120DEA": 28647, "\u0120Herbert": 28648, "\u0120Jal": 28649, "Bank": 28650, "\u0120deferred": 28651, "\u0120shipment": 28652, "Bott": 28653, "\u0120alle": 28654, "bearing": 28655, "HTML": 28656, "Offline": 28657, "\u0120213": 28658, "\u0120scrolling": 28659, "\u0120scanned": 28660, "\u0120Libyan": 28661, "\u0120TOP": 28662, "chrom": 28663, "dt": 28664, "column": 28665, "PsyNetMessage": 28666, "Zero": 28667, "\u0120torso": 28668, "050": 28669, "\u00e2\u0137\u0132": 28670, "\u0120imperson": 28671, "\u0120Schwartz": 28672, "udic": 28673, "\u0120pissed": 28674, "\u0120Sapp": 28675, "257": 28676, "\u0120ISPs": 28677, "ogl": 28678, "\u0120supervised": 28679, "\u0120adolescent": 28680, "\u0120attained": 28681, "\u0120Delivery": 28682, "\u0120Bunny": 28683, "\u01201937": 28684, "\u0120miniature": 28685, "\u0120os": 28686, "\u0120370": 28687, "608": 28688, "\u0120Mourinho": 28689, "\u0120innate": 28690, "\u0120tempo": 28691, "\u0120NM": 28692, "\u0120Fallen": 28693, "009": 28694, "\u0120provocative": 28695, "Streamer": 28696, "\u0120Benedict": 28697, "\u0120Bolshe": 28698, "\u0120turtle": 28699, "\u0120PCB": 28700, "\u0120Equal": 28701, "Director": 28702, "\u0120Rend": 28703, "\u0120fluids": 28704, "Authorities": 28705, "\u0120cousins": 28706, "requency": 28707, "\u0120Neighbor": 28708, "sets": 28709, "shared": 28710, "Charles": 28711, "password": 28712, "\u0120gears": 28713, "\u0120211": 28714, "\u0120Hardware": 28715, "rika": 28716, "\u0120upstream": 28717, "Hom": 28718, "\u0120disproportionately": 28719, "ivities": 28720, "\u0120undefined": 28721, "\u0120electrons": 28722, "\u0120commemor": 28723, "Eventually": 28724, "\u0120><": 28725, "\u0120irresponsible": 28726, "218": 28727, "\u0120Released": 28728, "\u0120OVER": 28729, "\u0120IGN": 28730, "\u0120Bread": 28731, "stellar": 28732, "\u0120Sage": 28733, "tted": 28734, "damage": 28735, "edition": 28736, "\u0120Prec": 28737, "\u0120lime": 28738, "\u0120confinement": 28739, "\u0120calorie": 28740, "weapon": 28741, "\u0120differing": 28742, "\u0120Sina": 28743, "mys": 28744, "amd": 28745, "\u0120intricate": 28746, "kk": 28747, "\u0120PAT": 28748, "\u00c3\u00a3o": 28749, "stones": 28750, "links": 28751, "\u0120ranch": 28752, "Semitic": 28753, "\u0120differentiate": 28754, "\u0120Singer": 28755, "occupied": 28756, "\u0120fortress": 28757, "cmd": 28758, "\u0120interception": 28759, "\u0120Ankara": 28760, "\u0120rept": 28761, "\u0120Solitaire": 28762, "\u0120remake": 28763, "pred": 28764, "\u0120dared": 28765, "autions": 28766, "\u0120BACK": 28767, "Running": 28768, "\u0120debugging": 28769, "\u0120graphs": 28770, "399": 28771, "\u0120Nigel": 28772, "\u0120bun": 28773, "\u0120pillow": 28774, "\u0120progressed": 28775, "fashioned": 28776, "\u0120obedience": 28777, "ERN": 28778, "\u0120rehears": 28779, "Cell": 28780, "tl": 28781, "Sher": 28782, "\u0120herald": 28783, "\u0120Payment": 28784, "\u0120Cory": 28785, "\u0120Dept": 28786, "\u0120repent": 28787, "\u0120Weak": 28788, "uckland": 28789, "\u0120pleasing": 28790, "\u0120shortages": 28791, "\u0120jurors": 28792, "\u0120Kab": 28793, "qqa": 28794, "Anti": 28795, "\u0120wow": 28796, "\u0120RCMP": 28797, "\u0120tsun": 28798, "\u0120Sic": 28799, "\u0120comprises": 28800, "\u0120spies": 28801, "\u0120precinct": 28802, "nu": 28803, "\u0120urges": 28804, "\u0120timed": 28805, "\u0120stripes": 28806, "\u0120Boots": 28807, "\u0120yen": 28808, "Advanced": 28809, "\u0120discrete": 28810, "\u0120Archangel": 28811, "employment": 28812, "Diff": 28813, "\u0120monuments": 28814, "\u0120209": 28815, "worker": 28816, "\u0120196": 28817, "\u0120Ig": 28818, "utterstock": 28819, "TPS": 28820, "Jac": 28821, "\u0120homelessness": 28822, "\u0120commentator": 28823, "\u0120racially": 28824, "fing": 28825, "seed": 28826, "Ele": 28827, "ellation": 28828, "\u0120ethanol": 28829, "\u0120parish": 28830, "\u0120Dong": 28831, "\u0120Awakening": 28832, "\u0120deviation": 28833, "\u0120Bearing": 28834, "\u0120Tsuk": 28835, "\u0120recess": 28836, "\u0120lymph": 28837, "\u0120Cannabis": 28838, "\u00e5\u013e": 28839, "\u0120NEWS": 28840, "\u0120dra": 28841, "\u0120Stefan": 28842, "\u0120Wrong": 28843, "\u0120SAM": 28844, "\u0120loosely": 28845, "\u0120interpreter": 28846, "\u0120Plain": 28847, "Government": 28848, "\u0120bigotry": 28849, "\u0120grenades": 28850, "avez": 28851, "pictured": 28852, "\u0120mandated": 28853, "\u0120Monk": 28854, "\u0120Pedro": 28855, "\u0120lava": 28856, "274": 28857, "\u0120cynical": 28858, "\u0120Scrolls": 28859, "locks": 28860, "Mp": 28861, "\u0120congregation": 28862, "ornings": 28863, "phil": 28864, "\u0120Ibid": 28865, "\u0120ferv": 28866, "\u0120disappearing": 28867, "\u0120arrogant": 28868, "syn": 28869, "\u0120Maver": 28870, "\u0120Suit": 28871, "241": 28872, "\u0120abbre": 28873, "ackers": 28874, "Pa": 28875, "\u0120Yel": 28876, "Whenever": 28877, "\u0120235": 28878, "\u0120Vine": 28879, "\u0120Anat": 28880, "\u0120extinct": 28881, "LET": 28882, "\u0120executable": 28883, "VERS": 28884, "oxide": 28885, "DNA": 28886, "\u0120Prel": 28887, "\u0120resentment": 28888, "\u0120comprise": 28889, "\u0120Aviv": 28890, "\u0120interceptions": 28891, "\u0120prolific": 28892, "INA": 28893, "\u0120Erin": 28894, "thought": 28895, "219": 28896, "\u0120Psychiatry": 28897, "unky": 28898, "chemist": 28899, "Ho": 28900, "\u0120McCoy": 28901, "\u0120bricks": 28902, "Los": 28903, "rily": 28904, "\u0120USSR": 28905, "\u0120rud": 28906, "\u0120laud": 28907, "\u0120Wise": 28908, "\u0120Emerald": 28909, "\u0120revived": 28910, "\u0120damned": 28911, "\u0120Repair": 28912, "idem": 28913, "ctica": 28914, "\u0120patriarch": 28915, "\u0120Nurs": 28916, "meg": 28917, "\u0120cheapest": 28918, "reements": 28919, "empty": 28920, "\u0120Celebr": 28921, "\u0120deprivation": 28922, "chanted": 28923, "\u0120Thumbnails": 28924, "Energy": 28925, "\u0120Ethan": 28926, "\u0120Qing": 28927, "\u0120opposes": 28928, "WIND": 28929, "vik": 28930, "\u0120Mau": 28931, "\u0120SUB": 28932, "667": 28933, "GRE": 28934, "\u0120Volunte": 28935, "nton": 28936, "Cook": 28937, "\u00e5\u0132": 28938, "esque": 28939, "\u0120plummet": 28940, "\u0120suing": 28941, "\u0120pronounce": 28942, "\u0120resisting": 28943, "\u0120Fishing": 28944, "\u0120Trials": 28945, "\u0120yell": 28946, "\u0120310": 28947, "\u0120induct": 28948, "\u0120personalized": 28949, "often": 28950, "Reb": 28951, "EMBER": 28952, "\u0120viewpoint": 28953, "\u0120existential": 28954, "())": 28955, "remove": 28956, "MENTS": 28957, "lasses": 28958, "\u0120evapor": 28959, "\u0120aisle": 28960, "meta": 28961, "\u0120reflective": 28962, "\u0120entitlement": 28963, "\u0120devised": 28964, "music": 28965, "ascade": 28966, "\u0120winding": 28967, "offset": 28968, "\u0120accessibility": 28969, "kered": 28970, "Better": 28971, "\u0120Johnston": 28972, "thinking": 28973, "Snow": 28974, "\u0120Croatia": 28975, "\u0120Atomic": 28976, "271": 28977, "348": 28978, "\u0120textbook": 28979, "\u0120Sixth": 28980, "\u0120\u00d8\u00a7\u00d9\u0126": 28981, "\u0120slider": 28982, "\u0120Burger": 28983, "bol": 28984, "Sync": 28985, "\u0120grandchildren": 28986, "\u0120cerv": 28987, "+)": 28988, "\u0120eternity": 28989, "\u0120tweeting": 28990, "\u0120speculative": 28991, "\u0120pivotal": 28992, "\u0120WP": 28993, "\u0120TER": 28994, "ynamic": 28995, "\u0120upl": 28996, "\u0120Cats": 28997, "perhaps": 28998, "\u0120classmates": 28999, "\u0120blatant": 29000, "'-": 29001, "\u0120lakh": 29002, "antine": 29003, "\u0120Borg": 29004, "iom": 29005, "/(": 29006, "\u0120Athletic": 29007, "\u0120sar": 29008, "OTA": 29009, "\u0120Hoffman": 29010, "Nevertheless": 29011, "\u0120adorable": 29012, "\u0120spawned": 29013, "Associated": 29014, "\u0120Domestic": 29015, "\u0120implant": 29016, "\u0120Luxem": 29017, "\u0120Kens": 29018, "\u0120pumps": 29019, "\u0120SAT": 29020, "Attributes": 29021, "509": 29022, "avour": 29023, "\u0120centralized": 29024, "\u0120TN": 29025, "\u0120freshly": 29026, "\u0120Achieve": 29027, "\u0120outsiders": 29028, "herty": 29029, "\u0120Ree": 29030, "\u0120Towers": 29031, "\u0120Dart": 29032, "akable": 29033, "\u0120mp": 29034, "\u0120Heavenly": 29035, "\u0120ripe": 29036, "\u0120Caroline": 29037, "ryan": 29038, "\u0120classics": 29039, "\u0120retiring": 29040, "\u0120228": 29041, "\u0120ah": 29042, "\u0120dealings": 29043, "\u0120punching": 29044, "\u0120Chapman": 29045, "Options": 29046, "maxwell": 29047, "volume": 29048, "\u0120stal": 29049, "\u0120exported": 29050, "\u0120Quite": 29051, "\u0120numerical": 29052, "Burn": 29053, "Fact": 29054, "\u0120Keystone": 29055, "\u0120trending": 29056, "\u0120altering": 29057, "\u0120Africans": 29058, "478": 29059, "\u0120MN": 29060, "\u0120Knock": 29061, "\u0120temptation": 29062, "\u0120prestige": 29063, "Overview": 29064, "\u0120Traditional": 29065, "\u0120Bahrain": 29066, "Private": 29067, "\u0120HOU": 29068, "\u0120barr": 29069, "\u0120Tat": 29070, "Cube": 29071, "USD": 29072, "\u0120Grande": 29073, "\u0120Gat": 29074, "\u0120Flo": 29075, "\u0120resides": 29076, "\u0120indec": 29077, "volent": 29078, "\u0120perpetual": 29079, "ubes": 29080, "\u0120worldview": 29081, "\u0120Quantum": 29082, "\u0120filtered": 29083, "\u0120ensu": 29084, "orgetown": 29085, "ERSON": 29086, "\u0120Mild": 29087, "379": 29088, "OTT": 29089, "\u00c3\u00a5": 29090, "\u0120vitamins": 29091, "\u0120ribbon": 29092, "\u0120sincerely": 29093, "\u0120Hin": 29094, "\u0120eighteen": 29095, "\u0120contradictory": 29096, "\u0120glaring": 29097, "\u0120expectancy": 29098, "\u0120conspir": 29099, "\u0120monstrous": 29100, "\u0120380": 29101, "reci": 29102, "\u0120handic": 29103, "\u0120pumped": 29104, "\u0120indicative": 29105, "\u0120rapp": 29106, "\u0120avail": 29107, "\u0120LEGO": 29108, "\u0120Marijuana": 29109, "1985": 29110, "erton": 29111, "\u0120twentieth": 29112, "################################": 29113, "\u0120Swamp": 29114, "\u0120valuation": 29115, "\u0120affiliates": 29116, "adjusted": 29117, "\u0120Facility": 29118, "262": 29119, "\u0120enzymes": 29120, "itudinal": 29121, "\u0120imprint": 29122, "Site": 29123, "\u0120installer": 29124, "\u0120TRA": 29125, "mology": 29126, "linear": 29127, "\u0120Collective": 29128, "igating": 29129, "\u0120Token": 29130, "\u0120speculated": 29131, "KN": 29132, "\u0120Cly": 29133, "ority": 29134, "\u0120defer": 29135, "\u0120inspectors": 29136, "approved": 29137, "RM": 29138, "\u0120Suns": 29139, "\u0120informing": 29140, "\u0120Syracuse": 29141, "ibli": 29142, "765": 29143, "\u0120glove": 29144, "\u0120authorize": 29145, "\u00e2\u0122\u00a6\u00e2\u0122\u00a6\u00e2\u0122\u00a6\u00e2\u0122\u00a6\u00e2\u0122\u00a6\u00e2\u0122\u00a6\u00e2\u0122\u00a6\u00e2\u0122\u00a6": 29146, "\u0120Cruise": 29147, "\u0120contracting": 29148, "shell": 29149, "IFE": 29150, "\u0120Jewel": 29151, "pract": 29152, "\u0120Photoshop": 29153, "\u0120Knowing": 29154, "harm": 29155, "\u0120attractions": 29156, "adan": 29157, "etus": 29158, "018": 29159, "wagen": 29160, "Alt": 29161, "\u0120multiply": 29162, "\u0120equilibrium": 29163, ":{": 29164, "\u0120Fighters": 29165, "\u0120Edgar": 29166, "\u0120fourteen": 29167, "Govern": 29168, "\u0120misuse": 29169, "\u0120abusing": 29170, "\u0120ancestry": 29171, "ramer": 29172, "644": 29173, "\u0120worms": 29174, "\u0120thicker": 29175, "\u0120Combine": 29176, "\u0120peasants": 29177, "\u0120vind": 29178, "\u0120conquest": 29179, "\u0120mocked": 29180, "\u0120cinnamon": 29181, "\u0120Cald": 29182, "\u0120Gallup": 29183, "\u0120avoidance": 29184, "\u0120incarnation": 29185, "\u0120Strat": 29186, "\u0120tasted": 29187, "enta": 29188, "\u0120Neal": 29189, "pared": 29190, "\u0120terminology": 29191, "jection": 29192, "Scientists": 29193, "\u0120INS": 29194, "\u0120Dee": 29195, "\u0120directories": 29196, "Road": 29197, "\u0120Shap": 29198, "bright": 29199, "\u0120Directors": 29200, "\u0120Column": 29201, "\u0120bob": 29202, "\u0120preferably": 29203, "\u0120glitch": 29204, "furt": 29205, "\u0120eg": 29206, "idis": 29207, "CBC": 29208, "\u0120surrendered": 29209, "\u0120testament": 29210, "336": 29211, "uggest": 29212, "\u0120Nil": 29213, "another": 29214, "\u0120pathetic": 29215, "\u0120Donna": 29216, "\u0120218": 29217, "\u0120Avery": 29218, "\u0120whiskey": 29219, "\u0120fixture": 29220, "\u0120Conquest": 29221, "\u0120bets": 29222, "Occ": 29223, "\u0120Leicester": 29224, "].\"": 29225, "\u0120));": 29226, "\u0120flashes": 29227, "456": 29228, "\u0120masked": 29229, "gebra": 29230, "\u0120computed": 29231, "chel": 29232, "auder": 29233, "\u0120defeats": 29234, "\u0120Liberation": 29235, "\u0120Osama": 29236, "\u0120Vive": 29237, "Changes": 29238, "Channel": 29239, "\u0120tariffs": 29240, "\u0120mage": 29241, "\u0120Sax": 29242, "\u0120inadvertently": 29243, "\u0120CRE": 29244, "\u0120Reaper": 29245, "inky": 29246, "grading": 29247, "\u0120stereotyp": 29248, "\u0120curl": 29249, "\u0120FANT": 29250, "\u0120frameworks": 29251, "Mom": 29252, "\u0120Anch": 29253, "\u0120flavour": 29254, "carbon": 29255, "\u0120permitting": 29256, "letcher": 29257, "\u0120Mozilla": 29258, "\u0120Parking": 29259, "\u0120Champ": 29260, "Scroll": 29261, "\u0120murderer": 29262, "\u0120rested": 29263, "\u0120owes": 29264, "\u0120Poss": 29265, "ADD": 29266, "IFF": 29267, "resolution": 29268, "\u0120Mining": 29269, "\u0120comparative": 29270, "Dim": 29271, "\u0120neighbouring": 29272, "\u0120AST": 29273, "\u0120Toxic": 29274, "\u0120biases": 29275, "\u0120gunfire": 29276, "urous": 29277, "\u0120Moment": 29278, "1983": 29279, "\u0120pervasive": 29280, "ttp": 29281, "\u0120Normally": 29282, "rir": 29283, "Sarah": 29284, "\u0120Albany": 29285, "\u0120unsett": 29286, "\u0120SMS": 29287, "ipers": 29288, "layer": 29289, "\u0120Whites": 29290, "uple": 29291, "\u0120turbo": 29292, "\u0120Leeds": 29293, "\u0120thats": 29294, "\u0120Miner": 29295, "MER": 29296, "\u0120Reign": 29297, "\u0120perme": 29298, "\u0120Blitz": 29299, "\u01201934": 29300, "\u0120intimidating": 29301, "tube": 29302, "\u0120eccentric": 29303, "abolic": 29304, "boxes": 29305, "\u0120Associates": 29306, "votes": 29307, "\u0120simulate": 29308, "umbo": 29309, "astery": 29310, "\u0120shipments": 29311, "FFFF": 29312, "anth": 29313, "\u0120seasoned": 29314, "\u0120experimentation": 29315, "\u00e2\u0138\u0142": 29316, "laws": 29317, "Meet": 29318, "iddles": 29319, "antics": 29320, "Rating": 29321, "ISIS": 29322, "hift": 29323, "\u0120fronts": 29324, "buf": 29325, "017": 29326, "\u0120unatt": 29327, "\u0120Dil": 29328, "leases": 29329, "\u0120Gardens": 29330, "777": 29331, "touch": 29332, "vell": 29333, "458": 29334, "\u0120=====": 29335, "saving": 29336, "\u0120erosion": 29337, "\u0120Quin": 29338, "\u0120earns": 29339, "\u0120accomplishment": 29340, "\u0120Wei": 29341, "\u0120<[": 29342, "_____": 29343, "\u0120irrig": 29344, "\u0120Teddy": 29345, "\u0120conquered": 29346, "\u0120Armored": 29347, "\u0120asserts": 29348, "\u0120manipulating": 29349, "r\u00c3\u00a9": 29350, "\u0120transcripts": 29351, "Gallery": 29352, "\u0120plotting": 29353, "Neil": 29354, "\u0120betrayal": 29355, "loader": 29356, "\u0120Sul": 29357, "\u0120displacement": 29358, "\u0120royalty": 29359, "\u0120WI": 29360, "heit": 29361, "\u0120Devices": 29362, "allel": 29363, "\u0120municipalities": 29364, "\u0120canal": 29365, "Stars": 29366, "\u0120UAE": 29367, "\u0120\"\u00e2\u0122\u00a6": 29368, "\u0120CU": 29369, "above": 29370, "\u0120resonance": 29371, "\u0120guiActiveUn": 29372, "added": 29373, "\u0120Braves": 29374, "\u0120Ibn": 29375, "\u0120hereby": 29376, "\u0120BRE": 29377, "\u0120shareholder": 29378, "\u0120Hir": 29379, "\u0120Ji": 29380, "\u0120strangely": 29381, "\u0120admired": 29382, "\u0120plight": 29383, "\u0120bachelor": 29384, "\u0120Pole": 29385, "ciplinary": 29386, "Tony": 29387, "\u0120Armenian": 29388, "\u0120unman": 29389, "\u0120Zionist": 29390, "Stage": 29391, "iscover": 29392, "\u0120automotive": 29393, "\u0120sidelines": 29394, "\u0120slick": 29395, "\u0120Renaissance": 29396, "\u0120FUN": 29397, "Images": 29398, "\u0120Haj": 29399, "\u0120ping": 29400, "\u0120shortcut": 29401, "\u0120Blvd": 29402, "\u0120Looks": 29403, "\u0120bursts": 29404, "\u0120clamp": 29405, "\u0120mish": 29406, "\u0120sorting": 29407, "\u0120patriot": 29408, "\u0120correctness": 29409, "\u0120Scandinav": 29410, "\u0120Cavaliers": 29411, "python": 29412, "azar": 29413, "\u0120375": 29414, "\u0120Jaune": 29415, "409": 29416, "\u0120detrimental": 29417, "\u0120stabbing": 29418, "\u0120poisoned": 29419, "\u0120fountain": 29420, "ocent": 29421, "orst": 29422, "\u0120Mari": 29423, "\u0120rains": 29424, "\u0120Overs": 29425, "\u0120Institution": 29426, "udget": 29427, "AMY": 29428, "tale": 29429, "\u0120KR": 29430, "\u0120Prices": 29431, "\u0120headaches": 29432, "\u0120landsl": 29433, "\u0120Aura": 29434, "Bonus": 29435, "\u0120Zhao": 29436, "\u0120Hip": 29437, "\u0120hops": 29438, "\u0120Kurdistan": 29439, "\u0120exploiting": 29440, "ryn": 29441, "\u0120hypocrisy": 29442, "opening": 29443, "\u0120gunshot": 29444, "\u0120wed": 29445, "interstitial": 29446, "Interstitial": 29447, "\u0120amen": 29448, "Breaking": 29449, "\u0120marketed": 29450, "Wire": 29451, "\u0120Crowd": 29452, "Continue": 29453, "\u0120Known": 29454, "\u0120Effective": 29455, "orean": 29456, "izons": 29457, "Joseph": 29458, "\u0120escalation": 29459, "username": 29460, "\u0120curtain": 29461, "ATES": 29462, "\u0120PAR": 29463, "\u0120Miy": 29464, "\u0120counterfe": 29465, "lene": 29466, "\u0120contenders": 29467, "daily": 29468, "\u0120Asc": 29469, "\u0120Phillip": 29470, "mostly": 29471, "\u0120filename": 29472, "hene": 29473, "\u0120resembling": 29474, "\u0120staging": 29475, "\u0120Chloe": 29476, "\u0120wiring": 29477, "Hon": 29478, "\u0120Renew": 29479, "ottage": 29480, "\u0120Hybrid": 29481, "much": 29482, "\u0120strokes": 29483, "\u0120policymakers": 29484, "APTER": 29485, "\u0120Arkham": 29486, "plot": 29487, "\u0120assistants": 29488, "\u0120deport": 29489, "\u0120Sega": 29490, "\u0120influenza": 29491, "\u0120Cursed": 29492, "\u0120Kobe": 29493, "\u0120skinny": 29494, "Provider": 29495, "\u0120Rip": 29496, "\u0120incremental": 29497, "products": 29498, "BF": 29499, "\u0120dome": 29500, "\u0120Credits": 29501, "\u0120losers": 29502, "ints": 29503, "\u0120Betty": 29504, "\u0120Talent": 29505, "\u0120DAM": 29506, "Lv": 29507, "Ess": 29508, "\u0120dens": 29509, "temp": 29510, "Judge": 29511, "odic": 29512, "\u0120'(": 29513, "URES": 29514, "etsk": 29515, "VO": 29516, "\u0120retrieved": 29517, "\u0120architects": 29518, "\u00d9\u0129": 29519, "\u0120ethic": 29520, "\u0120Secondary": 29521, "stocks": 29522, "adia": 29523, "\u0120325": 29524, "\u0120Opinion": 29525, "\u0120simultaneous": 29526, "\u0120dizz": 29527, "ulp": 29528, "\u0120smuggling": 29529, "ippery": 29530, "Random": 29531, "facing": 29532, "\u0120Das": 29533, "\u0120stockp": 29534, "\u0120disclosures": 29535, "pointer": 29536, "\u0120coral": 29537, "\u0120Selection": 29538, "\u0120Pike": 29539, "ivalent": 29540, "\u0120ruthless": 29541, "\u0120Rim": 29542, "\u0120ensuing": 29543, "\u0120Experiment": 29544, "\u0120congressman": 29545, "\u0120believer": 29546, "\u0120unspecified": 29547, "\u0120Mord": 29548, "\u0120knowledgeable": 29549, "\u0120VERY": 29550, "TX": 29551, "\u0120straps": 29552, "\u0120turf": 29553, "apeshifter": 29554, "\u0120marital": 29555, "\u0120flock": 29556, "\u00e3\u0123\u0128": 29557, "263": 29558, "AMES": 29559, "\u0120Opposition": 29560, "\u0120treasures": 29561, "\u0120GOD": 29562, "\u0120modeled": 29563, "\u0120WORLD": 29564, "\u0120([": 29565, "\u0120Usage": 29566, "HF": 29567, "\u0120$(": 29568, "ussed": 29569, "\u0120pioneer": 29570, "Eight": 29571, "parse": 29572, "bread": 29573, "ritz": 29574, "\u0120Miranda": 29575, "\u0120Kant": 29576, "++)": 29577, "oren": 29578, "\u0120provoked": 29579, "\u0120breeds": 29580, "\u0120Includes": 29581, "\u0120Pastebin": 29582, "\u0120Flip": 29583, "Java": 29584, "\u0120brink": 29585, "\u0120rumored": 29586, "\u0120unseen": 29587, "\u0120garnered": 29588, "\u0120Defin": 29589, "alted": 29590, "\u0120tattoos": 29591, "\u0120hesitation": 29592, "isitions": 29593, "\u0120Weaver": 29594, "\u0120Reporting": 29595, "\u0120therapies": 29596, "\u0120consultants": 29597, "\u0120residual": 29598, "\u0120Mali": 29599, "\u0120Roma": 29600, "iago": 29601, "\u0120Residents": 29602, "ubi": 29603, "\u0120remedies": 29604, "\u0120adaptive": 29605, "\u0120Alive": 29606, "\u0120Barcl": 29607, "\u0120wallets": 29608, "crypt": 29609, "etermination": 29610, "\u0120Pelosi": 29611, "\u0120slipping": 29612, "otonin": 29613, "\u0120alliances": 29614, "patrick": 29615, "iris": 29616, "\u0120orth": 29617, "\u0120Perkins": 29618, "\u0120DeV": 29619, "\u0120Gets": 29620, "\u0120drying": 29621, "gee": 29622, "forest": 29623, "\u0120Forget": 29624, "orem": 29625, "339": 29626, "\u0120vaguely": 29627, "\u0120Dion": 29628, "\u0120Porn": 29629, "\u0120HOW": 29630, "\u0120pneum": 29631, "\u0120rubble": 29632, "\u0120Taste": 29633, "encia": 29634, "\u0120Gel": 29635, "\u0120dst": 29636, "\u0120245": 29637, "\u0120Morocco": 29638, "inflamm": 29639, "\u0120Twins": 29640, "\u0120bots": 29641, "daughter": 29642, "\u0120Balk": 29643, "\u0120brethren": 29644, "\u0120logos": 29645, "\u0120gobl": 29646, "fps": 29647, "\u0120subdivision": 29648, "\u0120pawn": 29649, "\u0120squeezed": 29650, "\u0120morale": 29651, "\u0120DW": 29652, "'\"": 29653, "\u0120knot": 29654, "ooky": 29655, "\u0120divisive": 29656, "\u0120boosted": 29657, "chy": 29658, "\u00e3\u0125\u0132": 29659, "ifact": 29660, "\u0120newcomers": 29661, "\u0120Wrestling": 29662, "\u0120scouts": 29663, "wolves": 29664, "Rat": 29665, "\u0120nineteenth": 29666, "\u0120Osborne": 29667, "Stats": 29668, "\u0120empowered": 29669, "\u0120psychopath": 29670, "\u0120OEM": 29671, "uggage": 29672, "\u0120PK": 29673, "\u0120Mohammad": 29674, "Pak": 29675, "\u0120anarchists": 29676, "\u0120Extract": 29677, "esthes": 29678, "\u0120Stockholm": 29679, "loo": 29680, "\u0120Graph": 29681, "\u0120deploying": 29682, "\u0120Stranger": 29683, "\u0120Mold": 29684, "\u0120staffer": 29685, "\u0120discounted": 29686, "uckle": 29687, "please": 29688, "\u0120Landing": 29689, "\u00c3\u0143a": 29690, "\u0120193": 29691, "\u0120ante": 29692, "\u0120repetition": 29693, "\u0120+/-": 29694, "\u0120parody": 29695, "\u0120lively": 29696, "AAA": 29697, "\u0120Horus": 29698, "\u0120pits": 29699, "inders": 29700, "LOC": 29701, "\u0120Venice": 29702, "406": 29703, "\u0120Discover": 29704, "\u00e2\u0128": 29705, "ellectual": 29706, "\u0120pens": 29707, "\u0120eyel": 29708, "iguous": 29709, "Impl": 29710, "\u0120joking": 29711, "\u0120inval": 29712, "\u0120Belfast": 29713, "\u0120creditors": 29714, "\u0120Skywalker": 29715, "ovsky": 29716, "\u0120ceasefire": 29717, "\u0120seals": 29718, "isoft": 29719, ")).": 29720, "\u0120Felix": 29721, "ITS": 29722, "\u0120tresp": 29723, "\u0120Blockchain": 29724, "eware": 29725, "\u0120Schwar": 29726, "enne": 29727, "mounted": 29728, "\u0120Beacon": 29729, "lesh": 29730, "\u0120immensely": 29731, "\u0120cheering": 29732, "Employ": 29733, "scene": 29734, "ishly": 29735, "atchewan": 29736, "\u0120Nicolas": 29737, "\u0120drained": 29738, "\u0120Exit": 29739, "\u0120Azerb": 29740, "jun": 29741, "\u0120floated": 29742, "uania": 29743, "Deep": 29744, "\u0120superv": 29745, "\u0120mystical": 29746, "\u0120Dollar": 29747, "\u0120Apostle": 29748, "\u0120REL": 29749, "\u0120Provided": 29750, "\u0120Bucks": 29751, "\u00e3\u0125\u00b4": 29752, "cutting": 29753, "\u0120enhancements": 29754, "\u0120Penguins": 29755, "\u0120Isaiah": 29756, "\u0120jerk": 29757, "\u0120Wyn": 29758, "\u0120stalled": 29759, "\u0120cryptocurrencies": 29760, "\u0120Roland": 29761, "single": 29762, "\u0120lumin": 29763, "\u0120Fellow": 29764, "\u0120Capacity": 29765, "\u0120Kazakh": 29766, "WN": 29767, "\u0120financed": 29768, "389": 29769, "\u0120tid": 29770, "\u0120collusion": 29771, "\u0120Myr": 29772, "\u00ee\u0122": 29773, "Senator": 29774, "\u0120pediatric": 29775, "\u0120neatly": 29776, "\u0120sandwiches": 29777, "\u0120Architecture": 29778, "\u0120tucked": 29779, "\u0120balcony": 29780, "\u0120earthquakes": 29781, "quire": 29782, "Future": 29783, "\u0120hefty": 29784, "\u00e9\u0139": 29785, "\u0120specializes": 29786, "\u0120stresses": 29787, "\u0120sender": 29788, "\u0120misunderstanding": 29789, "\u0120epile": 29790, "\u0120provoke": 29791, "\u0120Colors": 29792, "\u0120dismay": 29793, "uko": 29794, "[_": 29795, "586": 29796, "neutral": 29797, "\u0120donating": 29798, "\u0120Randall": 29799, "Multi": 29800, "\u0120conveniently": 29801, "\u0120Sung": 29802, "\u0120Coca": 29803, "\u0120tents": 29804, "\u0120Acceler": 29805, "\u0120partnered": 29806, "272": 29807, "irming": 29808, "\u0120BAS": 29809, "sometimes": 29810, "\u0120objected": 29811, "ubric": 29812, "posed": 29813, "LCS": 29814, "grass": 29815, "\u0120attributable": 29816, "VIS": 29817, "Israeli": 29818, "\u0120repeats": 29819, "\u0120RM": 29820, "vag": 29821, "uta": 29822, "inous": 29823, "\u0120inert": 29824, "\u0120Miguel": 29825, "\u00e6\u0143": 29826, "\u0120Hawaiian": 29827, "Board": 29828, "\u0120artific": 29829, "\u0120Azerbai": 29830, "asio": 29831, "\u0120Rent": 29832, "AIN": 29833, "\u0120appliances": 29834, "\u0120nationality": 29835, "\u0120asshole": 29836, "\u0120Neb": 29837, "\u0120notch": 29838, "hani": 29839, "\u0120Bride": 29840, "Availability": 29841, "\u0120intercepted": 29842, "\u0120continental": 29843, "\u0120swelling": 29844, "\u0120Perspect": 29845, "bies": 29846, ".<": 29847, "ithmetic": 29848, "\u0120Lara": 29849, "\u0120tempting": 29850, "addr": 29851, "\u0120overseeing": 29852, "clad": 29853, "\u0120DV": 29854, "\u0120Gingrich": 29855, "\u0120mun": 29856, "\u0120Appropri": 29857, "\u0120alterations": 29858, "\u0120Patreon": 29859, "\u0120havoc": 29860, "\u0120disciplines": 29861, "\u0120notoriously": 29862, "akuya": 29863, "ieri": 29864, "?).": 29865, "\u0120Went": 29866, "\u0120silicon": 29867, "\u0120tremb": 29868, "Container": 29869, "Known": 29870, "\u0120mortar": 29871, "este": 29872, "icka": 29873, "Arthur": 29874, "\u0120Previously": 29875, "\u0120Marty": 29876, "\u0120sparse": 29877, "gins": 29878, "\u0120inward": 29879, "\u0120Participant": 29880, "Copy": 29881, "\u0120Misc": 29882, "\u0120antibiotic": 29883, "\u0120Retro": 29884, "\u0120elusive": 29885, "\u0120assail": 29886, "\u0120Battalion": 29887, "\u0120Bought": 29888, "\u0120diminish": 29889, "\u0120Europa": 29890, "session": 29891, "\u0120Dangerous": 29892, "iesel": 29893, "\u0120disbelief": 29894, "\u0120blasts": 29895, "extreme": 29896, "\u0120Boyd": 29897, "\u0120Projects": 29898, "\u0120Guys": 29899, "\u0120undergone": 29900, "\u0120grill": 29901, "\u0120Dwight": 29902, "\u0120197": 29903, "USER": 29904, "\u0120filesystem": 29905, "\u0120clocks": 29906, "Taylor": 29907, "\u0120wrapper": 29908, "\u0120folding": 29909, "ousand": 29910, "\u0120Philippine": 29911, "ATIONAL": 29912, "\u0120Perth": 29913, "\u0120ashes": 29914, "\u0120accumulate": 29915, "\u0120Gateway": 29916, "Shop": 29917, "orkshire": 29918, "Han": 29919, "\u0120Barrel": 29920, "\u0120Leh": 29921, "\u0120XV": 29922, "\u0120whim": 29923, "\u0120repo": 29924, "\u0120CG": 29925, "\u0120Mam": 29926, "\u0120incorporating": 29927, "\u0120bailout": 29928, "\u0120linguistic": 29929, "\u0120disinteg": 29930, "CLE": 29931, "\u0120cinematic": 29932, "\u0120Fiber": 29933, "Syn": 29934, "ilion": 29935, "\u0120Compos": 29936, "chens": 29937, "\u0120neoc": 29938, "\u0120boiled": 29939, "FINE": 29940, "ono": 29941, "uncle": 29942, "iken": 29943, "\u0120BM": 29944, "\u00ce\u00b9": 29945, "\u0120receipts": 29946, "\u0120disposed": 29947, "\u0120Thirty": 29948, "\u0120Rough": 29949, "\u0120ABS": 29950, "\u0120notwithstanding": 29951, "ollen": 29952, "#$": 29953, "\u0120unreliable": 29954, "\u0120bloom": 29955, "\u0120mediocre": 29956, "\u0120tram": 29957, "\u0120Tasman": 29958, "\u0120shakes": 29959, "\u0120manifesto": 29960, "\u0120MW": 29961, "\u0120satisfactory": 29962, "\u0120shores": 29963, "\u0120computation": 29964, "\u0120assertions": 29965, "ormons": 29966, "arag": 29967, "abit": 29968, "Democrats": 29969, "\u0120Loot": 29970, "\u0120Volks": 29971, "haired": 29972, "\u0120gravitational": 29973, "Sing": 29974, "\u0120Miz": 29975, "\u0120throttle": 29976, "\u0120tyranny": 29977, "\u0120Views": 29978, "\u0120robber": 29979, "\u0120Minority": 29980, "\u0120shrine": 29981, "scope": 29982, "purpose": 29983, "\u0120nucleus": 29984, "ourcing": 29985, "\u0120USDA": 29986, "\u0120DHS": 29987, "wra": 29988, "\u0120Bowie": 29989, "Scale": 29990, "\u0120BEL": 29991, "xi": 29992, "Iter": 29993, "\u0120(),": 29994, "wright": 29995, "\u0120sailors": 29996, "oused": 29997, "NASA": 29998, "\u0120Proof": 29999, "\u0120Mineral": 30000, "token": 30001, "\u0120FD": 30002, "Rew": 30003, "\u0120ell": 30004, "630": 30005, "\u0120chancellor": 30006, "\u0120Gos": 30007, "\u0120amounted": 30008, "\u0120Recre": 30009, "omez": 30010, "\u0120Optim": 30011, "\u0120Olive": 30012, "\u0120tracker": 30013, "owler": 30014, "\u0120Unique": 30015, "Root": 30016, "\u0120maritime": 30017, "\u0120Quran": 30018, "\u0120Adapt": 30019, "\u0120ecosystems": 30020, "\u0120Repeat": 30021, "\u0120Soy": 30022, "\u0120IMP": 30023, "\u0120graduating": 30024, "andem": 30025, "Pur": 30026, "\u0120Reset": 30027, "\u0120Trick": 30028, "\u0120Philly": 30029, "\u0120Tue": 30030, "\u0120Malaysian": 30031, "\u0120climax": 30032, "\u0120bury": 30033, "\u0120conspic": 30034, "\u0120Southampton": 30035, "\u0120Flowers": 30036, "\u0120escorted": 30037, "\u0120Educational": 30038, "\u0120IRC": 30039, "\u0120brutally": 30040, "eating": 30041, "\u0120pillar": 30042, "\u0120Sang": 30043, "\u0120Jude": 30044, "arling": 30045, "\u0120Amnesty": 30046, "\u0120reminding": 30047, "\u0120Administrative": 30048, "hesda": 30049, "\u0120flashed": 30050, "\u0120PBS": 30051, "perate": 30052, "feature": 30053, "\u0120swipe": 30054, "\u0120graves": 30055, "oultry": 30056, "261": 30057, "breaks": 30058, "\u0120Guer": 30059, "\u0120shrimp": 30060, "\u0120Voting": 30061, "quist": 30062, "\u0120analytical": 30063, "\u0120tablespoons": 30064, "\u0120SOU": 30065, "\u0120researched": 30066, "\u0120disrupted": 30067, "\u0120jour": 30068, "\u0120replica": 30069, "\u0120cartoons": 30070, "bians": 30071, "})": 30072, "copy": 30073, "Got": 30074, "ouched": 30075, "PUT": 30076, "\u0120swarm": 30077, "notations": 30078, "said": 30079, "\u0120rebuilt": 30080, "\u0120collaborate": 30081, "\u0120raging": 30082, "\u0120nar": 30083, "\u0120demographics": 30084, "\u0120DDR": 30085, "\u0120distrust": 30086, "ossier": 30087, "\u0120Kro": 30088, "\u0120pumpkin": 30089, "\u0120regrets": 30090, "\u0120fatalities": 30091, "\u0120Lens": 30092, "\u0120Ole": 30093, "pd": 30094, "\u0120puppet": 30095, "\u0120Outlook": 30096, "\u0120Stam": 30097, "Ol": 30098, "Fair": 30099, "UU": 30100, "\u0120rewritten": 30101, "\u00c4\u00b1": 30102, "\u0120fascinated": 30103, "\u0120vectors": 30104, "\u0120tribunal": 30105, "uay": 30106, "\u0120Mats": 30107, "\u0120Coins": 30108, "[[": 30109, "\u0120181": 30110, "\u0120renders": 30111, "\u0120Kaepernick": 30112, "\u0120espionage": 30113, "\u0120summ": 30114, "\u0120ditch": 30115, "Account": 30116, "\u0120spreadsheet": 30117, "\u0120mutant": 30118, "past": 30119, "407": 30120, "\u0120dye": 30121, "\u0120initiation": 30122, "\u01204000": 30123, "\u0120punishable": 30124, "\u0120thinner": 30125, "\u0120Khal": 30126, "\u0120intermedi": 30127, "Dun": 30128, "\u0120Gotham": 30129, "\u0120eagerly": 30130, "\u0120vaginal": 30131, "powers": 30132, "VW": 30133, "\u0120WATCHED": 30134, "\u0120predator": 30135, "amsung": 30136, "\u0120disparity": 30137, "\u0120[*": 30138, "\u0120amph": 30139, "\u0120outskirts": 30140, "\u0120Spirits": 30141, "\u0120skeletal": 30142, "\u00d0\u00bb": 30143, "\u0120Rear": 30144, "\u0120issuance": 30145, "\u0120Logic": 30146, "released": 30147, "ZZ": 30148, "\u0120Bound": 30149, "Entry": 30150, "\u0120exits": 30151, "isol": 30152, "\u0120Founder": 30153, "\u0120wre": 30154, "\u0120Greenland": 30155, "\u0120MMO": 30156, "taker": 30157, "INC": 30158, "\u00e3\u0123\u00be": 30159, "\u0120hourly": 30160, "henko": 30161, "\u0120fantasies": 30162, "\u0120disob": 30163, "\u0120demolition": 30164, "\u00e3\u0125\u012d": 30165, "\u0120enlisted": 30166, "ratulations": 30167, "\u0120misguided": 30168, "\u0120ensured": 30169, "\u0120discouraged": 30170, "mort": 30171, "\u0120flank": 30172, "\u0120cess": 30173, "\u0120reacts": 30174, "\u0120Sere": 30175, "sensitive": 30176, "\u0120Serpent": 30177, "assad": 30178, "\u0120247": 30179, "\u0120calmly": 30180, "busters": 30181, "\u0120bleed": 30182, "\u0120Stro": 30183, "\u0120amusement": 30184, "\u0120Antarctica": 30185, "\u0120scept": 30186, "\u0120Gaw": 30187, "aq": 30188, "asonic": 30189, "\u0120sprawling": 30190, "native": 30191, "aturated": 30192, "\u0120Battlefield": 30193, "IVERS": 30194, "EB": 30195, "\u0120Gems": 30196, "\u0120Northwestern": 30197, "\u0120Films": 30198, "\u0120Automatic": 30199, "\u0120apprehend": 30200, "\u00e3\u0123\u00a8": 30201, "\u0120guiName": 30202, "\u0120backend": 30203, "\u0120evidenced": 30204, "geant": 30205, "012": 30206, "\u0120Siege": 30207, "\u0120externalTo": 30208, "\u0120unfocusedRange": 30209, "\u0120guiActiveUnfocused": 30210, "\u0120guiIcon": 30211, "\u0120externalToEVA": 30212, "\u0120externalToEVAOnly": 30213, "Fri": 30214, "chard": 30215, "enaries": 30216, "\u0120chiefs": 30217, "\u0120cf": 30218, "\u0120HUD": 30219, "\u0120corrobor": 30220, "\u0120dB": 30221, "\u0120Taken": 30222, "\u0120Patricia": 30223, "rail": 30224, "\u0120Charm": 30225, "\u0120Libertarian": 30226, "rieve": 30227, "Personal": 30228, "\u0120OUR": 30229, "geries": 30230, "\u0120dumping": 30231, "\u0120neurological": 30232, "itimate": 30233, "\u0120Clintons": 30234, "rafted": 30235, "\u0120Molly": 30236, "\u0120terminals": 30237, "register": 30238, "\u0120flare": 30239, "\u0120encoded": 30240, "\u0120autopsy": 30241, "pel": 30242, "machine": 30243, "\u0120exemptions": 30244, "\u0120Royals": 30245, "distance": 30246, "\u0120drafts": 30247, "\u0120lame": 30248, "\u0120Cunning": 30249, "\u0120spouses": 30250, "\u0120Markets": 30251, "\u0120Carrier": 30252, "\u0120implying": 30253, "\u0120Yak": 30254, "sid": 30255, "\u0120loser": 30256, "\u0120vigilant": 30257, "\u0120impeachment": 30258, "\u0120augmented": 30259, "\u0120Employees": 30260, "\u0120unintended": 30261, "ternally": 30262, "\u0120Watt": 30263, "\u0120recognizable": 30264, "essim": 30265, "\u00e6\u013f": 30266, "\u0120coated": 30267, "rha": 30268, "\u0120lieutenant": 30269, "\u0120Legislation": 30270, "published": 30271, "444": 30272, "013": 30273, "\u0120ideally": 30274, "\u0120Password": 30275, "\u0120simplify": 30276, "\u0120Meta": 30277, "\u0120MRI": 30278, "\u0120pleading": 30279, "organized": 30280, "handler": 30281, "\u0120unravel": 30282, "correct": 30283, "\u0120icy": 30284, "\u0120paranoid": 30285, "\u0120passer": 30286, "\u0120inspections": 30287, "ofer": 30288, "\u0120Healthcare": 30289, "283": 30290, "\u0120Brut": 30291, "iola": 30292, "forge": 30293, "\u0120Medieval": 30294, "MSN": 30295, "ievers": 30296, "\u0120Programming": 30297, "\u00e5\u012b": 30298, "\u0120223": 30299, "mu": 30300, "\u0120CLE": 30301, "uga": 30302, "\u0120shoppers": 30303, "\u0120informative": 30304, "\u0120Plans": 30305, "\u0120supplementation": 30306, "\u0120Tests": 30307, "tyard": 30308, "ocytes": 30309, "\u0120Vega": 30310, "\u0120Gujarat": 30311, "ermanent": 30312, "Except": 30313, "\u0120LOT": 30314, "alla": 30315, "\u0120Cumm": 30316, "\u0120Osw": 30317, "\u0120venom": 30318, "\u0120Debt": 30319, "\u0120DOWN": 30320, "\u0120reunion": 30321, "\u0120muc": 30322, "\u0120Relief": 30323, "\u0120geop": 30324, "\u0120\u00f0\u0141\u013a": 30325, "alogue": 30326, "Anth": 30327, "echo": 30328, "\u0120corros": 30329, "\u0120replication": 30330, "\u0120Blazing": 30331, "\u0120Daughter": 30332, "\u0120inflic": 30333, "\u0120Lindsey": 30334, "\u00d9\u012a": 30335, "284": 30336, "Exit": 30337, "\u0120gloom": 30338, "TAIN": 30339, "\u0120undermining": 30340, "\u0120advising": 30341, "hidden": 30342, "\u0120overflow": 30343, "\u0120gor": 30344, "urdue": 30345, "\u0120echoes": 30346, "enhagen": 30347, "\u0120impuls": 30348, "drug": 30349, "cash": 30350, "\u0120async": 30351, "\u0120mirac": 30352, "atts": 30353, "punk": 30354, "\u0120pivot": 30355, "\u0120Legislative": 30356, "\u0120bloggers": 30357, "\u0120Claw": 30358, "sburg": 30359, "dyl": 30360, "\u0120Recommend": 30361, "\u0120verte": 30362, "\u0120prohibiting": 30363, "\u0120Panther": 30364, "Jonathan": 30365, "\u0120omin": 30366, "\u0120hateful": 30367, "281": 30368, "\u0120Orche": 30369, "\u0120Murdoch": 30370, "downs": 30371, "\u0120asymm": 30372, "GER": 30373, "Always": 30374, "\u0120informs": 30375, "\u0120WM": 30376, "\u0120Pony": 30377, "\u0120Appendix": 30378, "\u0120Arlington": 30379, "Jam": 30380, "\u0120medicinal": 30381, "\u0120Slam": 30382, "ITIES": 30383, "\u0120reaff": 30384, "\u0120Ri": 30385, "FG": 30386, "Spring": 30387, "bool": 30388, "\u0120thighs": 30389, "\u0120markings": 30390, "\u0120Raqqa": 30391, "\u0120Lak": 30392, "poll": 30393, "tsky": 30394, "\u0120Morty": 30395, "\u0120Definition": 30396, "\u0120debunk": 30397, "endered": 30398, "\u0120Leone": 30399, "avers": 30400, "\u0120mortgages": 30401, "Apparently": 30402, "Nic": 30403, "haus": 30404, "\u0120Thousands": 30405, "auld": 30406, "\u0120mash": 30407, "shoot": 30408, "\u0120diarr": 30409, "\u0120consciously": 30410, "Hero": 30411, "eas": 30412, "\u0120Naturally": 30413, "\u0120Destroyer": 30414, "\u0120dashboard": 30415, "services": 30416, "Rog": 30417, "\u0120millennials": 30418, "\u0120invade": 30419, "-(": 30420, "\u0120commissions": 30421, "\u0120Auckland": 30422, "\u0120broadcasts": 30423, "\u0120frontal": 30424, "\u0120crank": 30425, "\u0120Historic": 30426, "\u0120rumours": 30427, "CTV": 30428, "\u0120steril": 30429, "\u0120booster": 30430, "rocket": 30431, "\u00e3\u0124\u00bc": 30432, "utsche": 30433, "\u0120PI": 30434, "\u0120233": 30435, "\u0120Producer": 30436, "\u0120Analytics": 30437, "\u0120invaluable": 30438, "\u0120unintention": 30439, "\u0120CY": 30440, "\u0120scrutin": 30441, "\u0120gigg": 30442, "\u0120engulf": 30443, "\u0120proletariat": 30444, "\u0120hacks": 30445, "\u0120Hew": 30446, "arak": 30447, "\u0120Slime": 30448, "ielding": 30449, "agher": 30450, "\u0120Elliot": 30451, "\u0120telecom": 30452, "\u0120219": 30453, "ultan": 30454, "\u0120Arbor": 30455, "\u0120Scouts": 30456, "Ban": 30457, "\u0120lifespan": 30458, "\u0120blasp": 30459, "388": 30460, "\u0120judiciary": 30461, "\u0120Continental": 30462, "asking": 30463, "McC": 30464, "LED": 30465, "\u0120baggage": 30466, "\u0120Sorcerer": 30467, "\u0120remnants": 30468, "\u0120Griffith": 30469, "etsu": 30470, "\u0120Subaru": 30471, "\u0120Personality": 30472, "designed": 30473, "ushima": 30474, "agnar": 30475, "\u0120recoil": 30476, "\u0120passions": 30477, "\\\":": 30478, "\u0120tee": 30479, "\u0120abolition": 30480, "\u0120Creating": 30481, "jac": 30482, "\u0120194": 30483, "019": 30484, "\u0120pillars": 30485, "riched": 30486, "/\"": 30487, "tk": 30488, "\u0120livelihood": 30489, "\u0120roasted": 30490, "ahon": 30491, "\u0120Hutch": 30492, "assert": 30493, "\u0120dividend": 30494, "\u0120knit": 30495, "\u0120daunting": 30496, "\u0120disturbance": 30497, "\u0120shale": 30498, "\u0120cultivated": 30499, "\u0120refrigerator": 30500, "LB": 30501, "\u0120NET": 30502, "\u0120commercials": 30503, "\u0120thinkers": 30504, "455": 30505, "\u0120chop": 30506, "Broad": 30507, "\u0120suspicions": 30508, "\u0120tagged": 30509, "lifting": 30510, "\u0120stylish": 30511, "\u0120Shields": 30512, "Shortly": 30513, "\u0120tails": 30514, "Auth": 30515, "STE": 30516, "\u0120GAME": 30517, "\u0120seism": 30518, "\u0120Kis": 30519, "ologne": 30520, "\u0120cowork": 30521, "\u0120forcibly": 30522, "\u0120thyroid": 30523, "\u0120PB": 30524, "ANE": 30525, "married": 30526, "horse": 30527, "\u0120polymer": 30528, "\u0120Chal": 30529, "odor": 30530, "DEBUG": 30531, "\u0120Context": 30532, "\u0120bliss": 30533, "\u0120pinpoint": 30534, "\u0120Mathemat": 30535, "legram": 30536, "\u0120Weekend": 30537, "\u0120labelled": 30538, "\u0120bart": 30539, "itles": 30540, "\u0120estrogen": 30541, "\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136\u00e2\u0122\u0136": 30542, "\"'": 30543, "\u0120visibly": 30544, "\u0120outsider": 30545, "aida": 30546, "Area": 30547, "\u0120dissemin": 30548, "\u0120dishonest": 30549, "\u0120Closed": 30550, "\u0120Bulletin": 30551, "\u0120Ramsey": 30552, "sword": 30553, "\u0120XI": 30554, "ourced": 30555, "Same": 30556, "346": 30557, "\u0120Repe": 30558, "\u0120Kou": 30559, "cake": 30560, "emis": 30561, "Cache": 30562, "\u0120Meaning": 30563, "\u0120Enlight": 30564, "onomy": 30565, "\u0120manifestation": 30566, "sworth": 30567, "Jay": 30568, "\u0120chore": 30569, "\u00c3\u00b6r": 30570, "Dream": 30571, "\u0120sanctioned": 30572, "\u0120culturally": 30573, "\u0120Ara": 30574, "Nav": 30575, "\u0120theological": 30576, "\u0120strut": 30577, "\u0120VO": 30578, "\u0120Handbook": 30579, "\u0120constructing": 30580, "\u0120\u00c2\u00b6": 30581, "\u0120Benefits": 30582, "\u0120Psychological": 30583, "sac": 30584, "\u00e5\u00b8": 30585, "policy": 30586, "\u0120Matters": 30587, "\u0120Reported": 30588, "\u0120Byte": 30589, "\u0120vitro": 30590, "\u0120Maiden": 30591, "\u0120lam": 30592, "\u0120Jennings": 30593, "\u0120garment": 30594, "\u0120Rutgers": 30595, "\u0120Stafford": 30596, "\u0120Wellington": 30597, "\u0120intermitt": 30598, "\u0120npm": 30599, "\u0120ordeal": 30600, "\u0120plugged": 30601, "ooming": 30602, "inished": 30603, "framework": 30604, "\u0120timber": 30605, "\u0120cass": 30606, "\u0120850": 30607, "iless": 30608, "\u0120Redux": 30609, "768": 30610, "Stre": 30611, "\u0120surpassed": 30612, "whel": 30613, "\u0120parallels": 30614, "\u0120veil": 30615, "\u0120GI": 30616, "\u0120REST": 30617, "\u0120readiness": 30618, "sort": 30619, "\u0120modifying": 30620, "\u0120Slate": 30621, "ruff": 30622, "\u0120marble": 30623, "\u0120infrared": 30624, "\u0120auditor": 30625, "\u0120FANTASY": 30626, "\u0120Poverty": 30627, "\u0120SPD": 30628, "\u0120\"(": 30629, "Ky": 30630, "RAY": 30631, "\u0120executions": 30632, "\u0120Beverly": 30633, "\u0120Marxism": 30634, "\u0120Burst": 30635, "\u0120Kali": 30636, "estones": 30637, "Clearly": 30638, "Ell": 30639, "\u00e3\u0123\u00a7": 30640, "\u0120Proceedings": 30641, "Token": 30642, "IFIC": 30643, "\u00c3\u00b1a": 30644, "Central": 30645, "\u0120Haley": 30646, "\u0120Drama": 30647, "\u0120formations": 30648, "ORN": 30649, "Books": 30650, "\u0120dominating": 30651, "\u0120Flyers": 30652, "\u0120Companion": 30653, "\u0120disciplined": 30654, "\u0120Yugoslav": 30655, "\u0120Spells": 30656, "\u0120vengeance": 30657, "\u0120landlords": 30658, "Len": 30659, "\u0120Ogre": 30660, "anoia": 30661, "\u0120piercing": 30662, "\u0120congreg": 30663, "\u0120scorer": 30664, "obia": 30665, "\u0120nickel": 30666, "\u0120Learns": 30667, "\u0120rejo": 30668, "\u0120masterpiece": 30669, "Flash": 30670, "\u0120inhabited": 30671, "\u0120OpenGL": 30672, "\u0120Dud": 30673, "\u0120ICO": 30674, "\u0120arter": 30675, "\u0120plur": 30676, "\u0120mastery": 30677, "\u0120longstanding": 30678, "sted": 30679, "\u0120wines": 30680, "\u0120televised": 30681, "\u0120Shrine": 30682, "\u0120Bayern": 30683, "\u0120\u00e2\u0135\u013a": 30684, "\u0120enclosure": 30685, "john": 30686, "\u0120prophets": 30687, "\u0120Resurrection": 30688, "\u0120Orders": 30689, "\u0120uneven": 30690, "rals": 30691, "\u0120dwind": 30692, "\u0120Lah": 30693, "\u0120Sloven": 30694, "378": 30695, "\u0120insistence": 30696, "affle": 30697, "\u0120Clone": 30698, "\u0120hardship": 30699, "\u0120Congressman": 30700, "\u0120plead": 30701, "\u0120reviewers": 30702, "\u0120cured": 30703, "\u01201935": 30704, "asley": 30705, "fake": 30706, "\u0120Thinking": 30707, "ydia": 30708, "PART": 30709, "\u0120Dota": 30710, "oit": 30711, "\u0120whipped": 30712, "\u0120bouncing": 30713, "\u0120Hispanics": 30714, "comings": 30715, "\u0120cannabin": 30716, "\u0120Chambers": 30717, "\u0120Zack": 30718, "Optional": 30719, "\u0120coats": 30720, "\u0120prowess": 30721, "\u0120Norton": 30722, "\u0120plainly": 30723, "\u0120freight": 30724, "\u0120inhibition": 30725, "\u0120clam": 30726, "\u0120303": 30727, "kef": 30728, "aleigh": 30729, "Luke": 30730, "\u0120psycho": 30731, "atorium": 30732, "MED": 30733, "\u0120treaties": 30734, "\u0120indisc": 30735, "\u0120dc": 30736, "OPS": 30737, "\u0120resilient": 30738, "\u0120Interstate": 30739, "\u0120slack": 30740, "\u0120mundane": 30741, "\u0120establishes": 30742, "359": 30743, "\u0120strained": 30744, "\u0120nond": 30745, "Sus": 30746, "\u0120caste": 30747, "arate": 30748, "ieving": 30749, "\u0120unfairly": 30750, "\u0120parser": 30751, "onial": 30752, "ursive": 30753, "Via": 30754, "\u0120Otto": 30755, "\u0120Authorities": 30756, "stroke": 30757, "KR": 30758, "\u0120Mercy": 30759, "\u0120furnished": 30760, "\u0120outset": 30761, "\u0120metic": 30762, "1982": 30763, "olithic": 30764, "\u0120Tent": 30765, "ogical": 30766, "\u0120Aircraft": 30767, "\u0120hides": 30768, "\u0120Became": 30769, "\u0120educators": 30770, "reaching": 30771, "\u0120volatility": 30772, "\u0120toddler": 30773, "\u0120NASCAR": 30774, "\u0120Twelve": 30775, "\u0120Highlights": 30776, "\u0120grape": 30777, "\u0120splits": 30778, "\u0120peasant": 30779, "\u0120reneg": 30780, "\u0120MSI": 30781, "Temp": 30782, "stars": 30783, "\u0120trek": 30784, "\u0120Hyde": 30785, "binding": 30786, "\u0120realism": 30787, "\u0120oxide": 30788, "\u0120Hos": 30789, "\u0120mounts": 30790, "\u0120biting": 30791, "\u0120collapsing": 30792, "\u0120postal": 30793, "\u0120museums": 30794, "\u0120detached": 30795, "\u0120respecting": 30796, "\u0120monopol": 30797, "\u0120workflow": 30798, "\u0120Cake": 30799, "Template": 30800, "\u0120Organisation": 30801, "\u0120persistence": 30802, "369": 30803, "Coming": 30804, "Brad": 30805, "\u0120redundant": 30806, "\u0120GTA": 30807, "\u0120bending": 30808, "\u0120revoked": 30809, "\u0120offending": 30810, "\u0120framing": 30811, "\u0120printf": 30812, "Commun": 30813, "members": 30814, "Outside": 30815, "\u0120construed": 30816, "\u0120coded": 30817, "FORE": 30818, "\u0120chast": 30819, "Chat": 30820, "Indian": 30821, "\u0120Yard": 30822, "?!\"": 30823, "\u0120Ports": 30824, "\u0120Xavier": 30825, "\u0120RET": 30826, "'.\"": 30827, "\u0120Boat": 30828, "ivated": 30829, "icht": 30830, "umerable": 30831, "Ds": 30832, "\u0120Dunn": 30833, "\u0120coffin": 30834, "\u0120securely": 30835, "\u0120Raptors": 30836, "\u0120Bes": 30837, "Installation": 30838, "\u0120inception": 30839, "\u0120Healthy": 30840, "endants": 30841, "\u0120psychologists": 30842, "\u0120Sheikh": 30843, "cultural": 30844, "\u0120BlackBerry": 30845, "shift": 30846, "Fred": 30847, "oche": 30848, "\u0120cakes": 30849, "\u0120SEO": 30850, "\u0120Gian": 30851, "\u0120Asians": 30852, "ogging": 30853, "element": 30854, "\u0120pundits": 30855, "\u0120Vaugh": 30856, "\u0120Gavin": 30857, "\u0120hitter": 30858, "\u0120drowned": 30859, "\u0120chalk": 30860, "\u0120Zika": 30861, "\u0120measles": 30862, "802": 30863, "\u00e2\u0122\u00a6..": 30864, "\u0120AWS": 30865, "]\"": 30866, "\u0120distort": 30867, "\u0120Mast": 30868, "\u0120antibodies": 30869, "\u0120Mash": 30870, "Memory": 30871, "\u0120Uganda": 30872, "\u0120Prob": 30873, "\u0120vomiting": 30874, "\u0120Turns": 30875, "\u0120occupying": 30876, "\u0120evasion": 30877, "\u0120Therapy": 30878, "\u0120promo": 30879, "\u0120electr": 30880, "\u0120blueprint": 30881, "\u0120Dre": 30882, "priced": 30883, "\u0120Depot": 30884, "\u0120alleviate": 30885, "\u0120Somali": 30886, "marg": 30887, "nine": 30888, "\u0120nostalgia": 30889, "\u0120Shepherd": 30890, "\u0120cavalry": 30891, "\u0120torped": 30892, "\u0120Bloody": 30893, "xb": 30894, "\u0120sank": 30895, "\u0120goalt": 30896, "reportprint": 30897, "embedreportprint": 30898, "cloneembedreportprint": 30899, "\u0120Initially": 30900, "\u0120Fischer": 30901, "\u0120noteworthy": 30902, "cern": 30903, "\u0120inefficient": 30904, "rawdownload": 30905, "rawdownloadcloneembedreportprint": 30906, "cation": 30907, "\u0120Dynasty": 30908, "lag": 30909, "DES": 30910, "\u0120distinctly": 30911, "\u0120Estonia": 30912, "\u0120openness": 30913, "\u0120gossip": 30914, "ruck": 30915, "Width": 30916, "\u0120Ibrahim": 30917, "\u0120petroleum": 30918, "\u0120avatar": 30919, "\u0120Hed": 30920, "atha": 30921, "\u0120Hogwarts": 30922, "\u0120caves": 30923, "678": 30924, "\u0120safeguard": 30925, "\u0120Mog": 30926, "isson": 30927, "\u0120Durham": 30928, "slaught": 30929, "\u0120Graduate": 30930, "\u0120subconscious": 30931, "\u0120Excellent": 30932, "\u0120Dum": 30933, "-----": 30934, "\u0120piles": 30935, "\u0120WORK": 30936, "\u0120Garn": 30937, "\u0120Fol": 30938, "\u0120ATM": 30939, "\u0120avoids": 30940, "\u0120Tul": 30941, "\u0120bleak": 30942, "ELY": 30943, "ivist": 30944, "lightly": 30945, "Pers": 30946, "\u0120Dob": 30947, "\u0120LS": 30948, "\u0120insanity": 30949, "\u00ce\u00b5": 30950, "atalie": 30951, "Enlarge": 30952, "\u0120twists": 30953, "\u0120faulty": 30954, "\u0120piracy": 30955, "\u0120impover": 30956, "\u0120rugged": 30957, "\u0120Fashion": 30958, "\u0120sands": 30959, "'?": 30960, "swick": 30961, "\u0120natives": 30962, "\u0120hen": 30963, "\u0120Noise": 30964, "\u00e3\u0125\u0139": 30965, "\u0120greens": 30966, "\u0120freezer": 30967, "\u0120dynasty": 30968, "\u0120Fathers": 30969, "\u0120Newark": 30970, "\u0120archaeological": 30971, "\u0120ot": 30972, "obar": 30973, "\u0120blockade": 30974, "\u0120allerg": 30975, "LV": 30976, "\u0120debit": 30977, "\u0120RFC": 30978, "\u0120Milton": 30979, "\u0120Pressure": 30980, "\u0120willingly": 30981, "\u0120disproportionate": 30982, "\u0120oppressive": 30983, "\u0120diamonds": 30984, "\u0120belongings": 30985, "1970": 30986, "\u0120bells": 30987, "\u0120imperialism": 30988, "\u0120227": 30989, "\u0120exploding": 30990, "\u0120Eclipse": 30991, "\u01201919": 30992, "\u0120rant": 30993, "\u0120nominations": 30994, "347": 30995, "\u0120peacefully": 30996, "rica": 30997, "\u0120FUCK": 30998, "\u0120vibration": 30999, "malink": 31000, "\u0120ropes": 31001, "\u0120Ivanka": 31002, "\u0120Brewery": 31003, "\u0120Booker": 31004, "\u0120Owens": 31005, "goers": 31006, "Services": 31007, "\u0120Snape": 31008, "\u0120191": 31009, "395": 31010, "\u0120299": 31011, "justice": 31012, "\u0120bri": 31013, "\u0120discs": 31014, "\u0120prominently": 31015, "\u0120vulgar": 31016, "\u0120skipping": 31017, "lves": 31018, "\u0120tsunami": 31019, "374": 31020, "\u0120Urug": 31021, "\u0120Eid": 31022, "recated": 31023, "phen": 31024, "\u0120faults": 31025, "\u0120Started": 31026, "950": 31027, "\u0120pi": 31028, "\u0120detector": 31029, "\u0120bastard": 31030, "\u0120validated": 31031, "SpaceEngineers": 31032, "OURCE": 31033, "\u0120(~": 31034, "\u0120unsur": 31035, "\u0120affirmed": 31036, "\u0120fascism": 31037, "\u0120resolving": 31038, "\u0120Chavez": 31039, "\u0120Cyn": 31040, "\u0120detract": 31041, "Lost": 31042, "\u0120rigged": 31043, "\u0120homage": 31044, "\u0120Bruno": 31045, "555": 31046, "eca": 31047, "\u0120presses": 31048, "\u0120humour": 31049, "\u0120spacing": 31050, "\u0120'/": 31051, "olkien": 31052, "Coun": 31053, "OPER": 31054, "Tre": 31055, "Son": 31056, "\u0120Cambodia": 31057, "ierre": 31058, "mong": 31059, "ozy": 31060, "\u0120liquidity": 31061, "\u0120Soviets": 31062, "\u0120Fernando": 31063, "\u0120229": 31064, "\u0120slug": 31065, "\u0120Catalan": 31066, "electric": 31067, "\u0120scenery": 31068, "\u0120Hearth": 31069, "\u0120constrained": 31070, "\u0120goalie": 31071, "\u0120Guidelines": 31072, "\u0120Ammo": 31073, "\u0120Pearson": 31074, "\u0120taxed": 31075, "\u0120fetus": 31076, "Response": 31077, "\u0120Alexis": 31078, "thia": 31079, "Guy": 31080, "\u0120reconstruct": 31081, "\u0120extremes": 31082, "\u0120concluding": 31083, "\u0120Peg": 31084, "ooks": 31085, "\u0120deductions": 31086, "Rose": 31087, "\u0120groundbreaking": 31088, "\u0120Targ": 31089, "\u00e3\u0125\u0123": 31090, "\u0120Reve": 31091, "resource": 31092, "\u0120moons": 31093, "\u0120electromagnetic": 31094, "\u0120amidst": 31095, "\u0120Viktor": 31096, "NESS": 31097, "BACK": 31098, "\u0120commute": 31099, "\u0120Anaheim": 31100, "\u0120fluctuations": 31101, "640": 31102, "\u0120noodles": 31103, "\u0120Copenhagen": 31104, "\u0120Tide": 31105, "\u0120Grizz": 31106, "\u0120SEE": 31107, "\u0120pipelines": 31108, "\u0120scars": 31109, "endo": 31110, "agus": 31111, "\u0120ETF": 31112, "/#": 31113, "\u0120Become": 31114, "448": 31115, "\u0120visc": 31116, "\u0120Recommended": 31117, "\u0120jumper": 31118, "\u0120cognition": 31119, "\u0120assassin": 31120, "\u0120witnessing": 31121, "\u0120Setup": 31122, "\u0120lac": 31123, "vim": 31124, "ISM": 31125, "pages": 31126, "SSL": 31127, "358": 31128, "\u0120adject": 31129, "industrial": 31130, "lore": 31131, "chery": 31132, "\u0120glitter": 31133, "\u0120calf": 31134, "Florida": 31135, "\u0120spoilers": 31136, "\u0120succeeds": 31137, "\u0120chanting": 31138, "\u0120slogans": 31139, "\u0120Tracy": 31140, "Visit": 31141, "rology": 31142, "\u0120mornings": 31143, "\u0120lineage": 31144, "\u0120sip": 31145, "\u0120intensely": 31146, "\u0120flourish": 31147, "\u0120Sleeping": 31148, "\u0120Fem": 31149, "orpor": 31150, "\u0120Klan": 31151, "\u0120Darth": 31152, "hack": 31153, "\u0120Nielsen": 31154, "\u0120tumors": 31155, "\u0120procurement": 31156, "\u0120Yorkshire": 31157, "\u0120raided": 31158, "KY": 31159, "Anna": 31160, "\u0120//[": 31161, "\u0120Disorder": 31162, "\u0120Mustang": 31163, "\u0120Wen": 31164, "\u0120Trying": 31165, "sq": 31166, "\u0120deliveries": 31167, "\u0120shutter": 31168, "\u0120cerebral": 31169, "\u0120bipolar": 31170, "\u0120CN": 31171, "lass": 31172, "jet": 31173, "\u0120debating": 31174, ">:": 31175, "\u0120eagle": 31176, "grades": 31177, "\u0120Dixon": 31178, "UGC": 31179, "MAS": 31180, "\u0120Draco": 31181, "\u0120Machines": 31182, "affer": 31183, "\u0120eman": 31184, "\u00c2\u00b2": 31185, "pron": 31186, "\u0120Gym": 31187, "\u0120comparatively": 31188, "\u0120Tribunal": 31189, "PRO": 31190, "\u0120lex": 31191, "\u0120fertile": 31192, "\u0120depressing": 31193, "\u0120superficial": 31194, "essential": 31195, "\u0120Hunters": 31196, "gp": 31197, "\u0120prominence": 31198, "Liber": 31199, "\u0120Ancest": 31200, "otechnology": 31201, "\u0120mocking": 31202, "\u0120Traff": 31203, "\u0138\u013c": 31204, "Medium": 31205, "Iraq": 31206, "\u0120psychiatrist": 31207, "Quantity": 31208, "\u0120Lect": 31209, "\u0120noisy": 31210, "520": 31211, "GY": 31212, "\u0120slapped": 31213, "\u0120MTV": 31214, "\u0120para": 31215, "pull": 31216, "Multiple": 31217, "asher": 31218, "\u0120nour": 31219, "\u0120Seg": 31220, "Spell": 31221, "vous": 31222, "ordial": 31223, "Senior": 31224, "\u0120Goldberg": 31225, "\u0120Plasma": 31226, "need": 31227, "\u0120messenger": 31228, "eret": 31229, "\u0120teamed": 31230, "\u0120literacy": 31231, "\u0120Leah": 31232, "\u0120Doyle": 31233, "\u0120emitted": 31234, "UX": 31235, "\u0120evade": 31236, "\u0120maze": 31237, "\u0120wrongly": 31238, "\u0120Lars": 31239, "\u0120stereotype": 31240, "\u0120pledges": 31241, "\u0120aroma": 31242, "\u0120MET": 31243, "\u0120acre": 31244, "\u0120OD": 31245, "\u0120ff": 31246, "\u0120breweries": 31247, "\u0120Hilton": 31248, "undle": 31249, "\u0120Kak": 31250, "\u0120Thankfully": 31251, "\u0120Canucks": 31252, "inctions": 31253, "\u0120Appears": 31254, "\u0120coer": 31255, "\u0120undermined": 31256, "rovers": 31257, "Andre": 31258, "\u0120blaze": 31259, "umers": 31260, "\u0120famine": 31261, "amphetamine": 31262, "ulkan": 31263, "Amount": 31264, "\u0120desperation": 31265, "wikipedia": 31266, "development": 31267, "\u0120Corinth": 31268, "ussia": 31269, "Jackson": 31270, "LI": 31271, "Native": 31272, "Rs": 31273, "Ohio": 31274, "\u0120Kathleen": 31275, "Fortunately": 31276, "\u0120attendant": 31277, "\u0120Preferred": 31278, "\u0120Didn": 31279, "\u0120Vs": 31280, "Mis": 31281, "\u0120respondent": 31282, "\u0120boun": 31283, "stable": 31284, "\u0120paved": 31285, "\u0120unexpl": 31286, "\u0120Cheney": 31287, "LM": 31288, "\u0120Cull": 31289, "blown": 31290, "\u0120confronting": 31291, "ocese": 31292, "serving": 31293, "Wi": 31294, "\u0120Lithuania": 31295, "anni": 31296, "\u0120stalk": 31297, "hd": 31298, "\u0120vener": 31299, "APH": 31300, "ynchronous": 31301, "URR": 31302, "umably": 31303, "historic": 31304, "Half": 31305, "Hay": 31306, "\u0120resilience": 31307, "spection": 31308, "\u0120abandoning": 31309, "Obs": 31310, "\u0120Debbie": 31311, "\u0120gradient": 31312, "\u0120Plaint": 31313, "\u0120Canal": 31314, "ARCH": 31315, "\u0120expansive": 31316, "\u0120fung": 31317, "\u0120bounced": 31318, "Und": 31319, "\u0120precautions": 31320, "\u0120clarification": 31321, "\u0120dagger": 31322, "\u0120grips": 31323, "\u0120\u00c2\u00b5": 31324, "\u0120Rivera": 31325, "\u0120Undead": 31326, "isites": 31327, "\u0120FIRST": 31328, "\u00c3\u00b1o": 31329, "audi": 31330, "\u0120hostages": 31331, "\u0120compliant": 31332, "\u0120alumni": 31333, "Seven": 31334, "\u0120cybersecurity": 31335, "either": 31336, "Collect": 31337, "\u0120invariably": 31338, "\u0120Soci": 31339, "\u0120lawmaker": 31340, "\u0120ale": 31341, "\u0120Personally": 31342, "Nazi": 31343, "\u0120customization": 31344, "\u0120Proc": 31345, "\u0120Saskatchewan": 31346, "eaturing": 31347, "\u0120spared": 31348, "\u0120discontinued": 31349, "\u0120computational": 31350, "\u0120Motorola": 31351, "\u0120supremacist": 31352, "governmental": 31353, "\u0120paradise": 31354, "\u0120Downing": 31355, "\u0120Nikon": 31356, "\u0120catalyst": 31357, "berra": 31358, "Toronto": 31359, "875": 31360, "beta": 31361, "\u0120Macron": 31362, "\u0120unrealistic": 31363, "vector": 31364, "\u0120Vehicles": 31365, "itiveness": 31366, "\u0120RV": 31367, "\u0120Colbert": 31368, "sin": 31369, "oji": 31370, "entin": 31371, "\u0120Krish": 31372, "hello": 31373, "ffield": 31374, "oky": 31375, "\u0120Tate": 31376, "\u0120maple": 31377, "\u0120aids": 31378, "chemical": 31379, "334": 31380, "nuts": 31381, "\u0120Warp": 31382, "\u0120xx": 31383, "\u0120Robb": 31384, "umerous": 31385, "_-_": 31386, "ftime": 31387, "\u0120VW": 31388, "\u0120winger": 31389, "\u0120Dome": 31390, "tools": 31391, "\u0120PV": 31392, "\u0120Georgetown": 31393, "\u0120geared": 31394, "\u0120jihadists": 31395, "\u0120cp": 31396, "\u0120steroids": 31397, "Mother": 31398, "clerosis": 31399, "\u0120DRM": 31400, "nesia": 31401, "\u0120linger": 31402, "\u0120immersive": 31403, "\u0120COUN": 31404, "\u0120outweigh": 31405, "ensual": 31406, "Band": 31407, "\u0120transforms": 31408, "matched": 31409, "psons": 31410, "\u0120Judicial": 31411, "factor": 31412, "\u0120referral": 31413, "\u0120oddly": 31414, "\u0120Wenger": 31415, "Bring": 31416, "\u0120Bows": 31417, "602": 31418, "ICLE": 31419, "\u0120lions": 31420, "\u0120Academic": 31421, "\u0120Thorn": 31422, "\u0120Raider": 31423, "kefeller": 31424, "Storage": 31425, "Lower": 31426, "\u0120Ort": 31427, "\u0120Equality": 31428, "ALT": 31429, "\u0120SOC": 31430, "Types": 31431, "\u0120lyn": 31432, "\u0120Asset": 31433, "coat": 31434, "TPP": 31435, "CVE": 31436, "\u0120Pioneer": 31437, "application": 31438, "Modern": 31439, "\u0120HK": 31440, "Environment": 31441, "Alright": 31442, "Rain": 31443, "IPP": 31444, "\u0120Shiite": 31445, "\u0120mound": 31446, "\u0120Abilities": 31447, "condition": 31448, "Staff": 31449, "\u0120competence": 31450, "\u0120Moor": 31451, "\u0120Diablo": 31452, "\u0120withheld": 31453, "\u0120ostensibly": 31454, "\u0120Brom": 31455, "\u0120msg": 31456, "\u0120denomin": 31457, "\u0120References": 31458, "\u0120FP": 31459, "\u0120plunged": 31460, "\u0120pamph": 31461, "moving": 31462, "central": 31463, "\u0120downright": 31464, "\u0120fading": 31465, "Tal": 31466, "Typ": 31467, "\u0120Thy": 31468, "ukes": 31469, "ithe": 31470, "\u0120ove": 31471, "\u0120battled": 31472, "\u0120seafood": 31473, "\u0120figur": 31474, "\u0120RD": 31475, "crop": 31476, "\u0120squads": 31477, "{\\": 31478, "\u00e0\u00b9": 31479, "\u0120Eh": 31480, "\u0120interviewing": 31481, "\u0120Qin": 31482, "\u0120aspiring": 31483, "PLIC": 31484, "\u0120clauses": 31485, "\u0120Gast": 31486, "\u0120Nir": 31487, "\u0120luggage": 31488, "\u0120hose": 31489, "\u0120systemd": 31490, "\u0120descending": 31491, "\u0120Revised": 31492, "\u0120Rails": 31493, "align": 31494, "709": 31495, "337": 31496, "\u0120fug": 31497, "charging": 31498, "tags": 31499, "\u0120uter": 31500, "kish": 31501, "WARNING": 31502, "490": 31503, "profits": 31504, "\u0120voyage": 31505, "\u0120ace": 31506, "\u0120Vanguard": 31507, "\u0120Tanks": 31508, "\u0120Muk": 31509, "\u0120226": 31510, "Safe": 31511, "Armor": 31512, "\u0120volcanic": 31513, "\u0120womb": 31514, "\u0120MIL": 31515, "\u0120beginner": 31516, "\u0120Recogn": 31517, "\u0120AAP": 31518, "PLAY": 31519, ")!": 31520, "\u0120detecting": 31521, "cn": 31522, "\u0120breaches": 31523, "Basically": 31524, "\u0120Pag": 31525, "\u0120Municipal": 31526, "\u0120Indie": 31527, "\u0120Laf": 31528, "\u0120Disable": 31529, "\u0120Olson": 31530, "\u0120restrained": 31531, "\u0120rulings": 31532, "\u0120humane": 31533, "events": 31534, "\u0120Cinema": 31535, "displayText": 31536, "\u0120Hatch": 31537, "actionDate": 31538, "onnaissance": 31539, "\u0120assaulting": 31540, "\u0120Lug": 31541, "CHAT": 31542, "\u0120vigorous": 31543, "\u0120Perse": 31544, "\u0120intolerance": 31545, "\u0120Snapchat": 31546, "\u0120Sharks": 31547, "\u0120dummy": 31548, "\u0120Diagn": 31549, "\u0120Guitar": 31550, "imeters": 31551, "403": 31552, "REG": 31553, "Ax": 31554, "\u0120separates": 31555, "\u0120Mahm": 31556, "\u0120tv": 31557, "jah": 31558, "OOL": 31559, "Circ": 31560, "\u0120Windsor": 31561, "ussian": 31562, "\u0120intuition": 31563, "\u0120disdain": 31564, "\u0120Donovan": 31565, "\u0120221": 31566, "Emb": 31567, "\u0120condemning": 31568, "\u0120generosity": 31569, "zzy": 31570, "\u0120panties": 31571, "\u0120Prevent": 31572, "ActionCode": 31573, "ANA": 31574, "342": 31575, "externalActionCode": 31576, "\u0120specifying": 31577, "\u0120crystall": 31578, "Jere": 31579, "\u0120rupt": 31580, "\u0120Apprentice": 31581, "\u0120profiling": 31582, "\u00d0\u00ba": 31583, "Strike": 31584, "\u0120sideline": 31585, "\u0120obligated": 31586, "\u0120occult": 31587, "\u0120bureaucratic": 31588, "antically": 31589, "rupted": 31590, "negative": 31591, "\u0120Ethiopia": 31592, "\u0120Civic": 31593, "\u0120insiders": 31594, "eligible": 31595, "\u0120TVs": 31596, "\u0120BAR": 31597, "\u0120TI": 31598, "iologist": 31599, "\u0120AIR": 31600, "\u0120substituted": 31601, "Arab": 31602, "\u0120Saul": 31603, "\u0120Yog": 31604, "prem": 31605, "\u0120builders": 31606, "\u0120stationary": 31607, "\u0120doubtful": 31608, "\u0120vigorously": 31609, "\u0120thrilling": 31610, "Physical": 31611, "\u0120Carey": 31612, "\u0120Hydra": 31613, "geoning": 31614, "\u0120Sly": 31615, "yton": 31616, "\u0120borrowers": 31617, "\u0120Parkinson": 31618, "\u0120\u00eb": 31619, "\u0120Jamaica": 31620, "\u0120satir": 31621, "\u0120insurgents": 31622, "\u0120Firm": 31623, "\u0120isot": 31624, "\u0120Karn": 31625, "ourning": 31626, "akens": 31627, "docs": 31628, "little": 31629, "\u0120Monaco": 31630, "CLASS": 31631, "Turkey": 31632, "Ly": 31633, "\u0120Conan": 31634, "assic": 31635, "\u0120starred": 31636, "\u0120Pacers": 31637, "eties": 31638, "\u0120tipping": 31639, "Moon": 31640, "\u0120Rw": 31641, "same": 31642, "\u0120cavity": 31643, "\u0120goof": 31644, "\u0120Zo": 31645, "Shock": 31646, "ummer": 31647, "\u0120emphasizes": 31648, "\u0120regrett": 31649, "\u0120novelty": 31650, "\u0120envy": 31651, "\u0120Passive": 31652, "rw": 31653, "505": 31654, "\u0120indifferent": 31655, "\u0120Rica": 31656, "\u0120Himself": 31657, "\u0120Freddie": 31658, "\u0120adip": 31659, "\u00e4\u00b8\u0122": 31660, "\u0120breakout": 31661, "\u0120hurried": 31662, "\u0120Huang": 31663, "\u0120Disk": 31664, "\u0120roaming": 31665, "?????-?????-": 31666, "UV": 31667, "\u0120Ricky": 31668, "\u0120Sigma": 31669, "\u0120marginalized": 31670, "\u0120edits": 31671, "\u0120304": 31672, "memory": 31673, "\u0120specimen": 31674, "293": 31675, "\u00e3\u0123\u00af": 31676, "\u0120vertically": 31677, "\u0120audition": 31678, "\u0120Heck": 31679, "\u0120caster": 31680, "\u0120Holdings": 31681, "adal": 31682, "\u0120Cron": 31683, "\u0120Liam": 31684, "\u0120deflect": 31685, "Pick": 31686, "\u0120Debug": 31687, "REF": 31688, "\u0120versatility": 31689, "othes": 31690, "classified": 31691, "\u0120Mahar": 31692, "\u0120Hort": 31693, "Counter": 31694, "stasy": 31695, "noticed": 31696, "331": 31697, "\u0120Shim": 31698, "fuck": 31699, "\u0120Bie": 31700, "\u0120airing": 31701, "\u0120Protein": 31702, "\u0120Holding": 31703, "\u0120spectators": 31704, "iliated": 31705, "\u0120Thatcher": 31706, "nosis": 31707, "\u00e3\u0125\u00bc\u00e3\u0125\u00b3": 31708, "Tele": 31709, "Boston": 31710, "\u0120Templ": 31711, "stay": 31712, "\u0120declarations": 31713, "479": 31714, "Volume": 31715, "\u0120Designer": 31716, "\u0120Overwatch": 31717, "idae": 31718, "\u0120onwards": 31719, "\u0120nets": 31720, "\u0120Manila": 31721, "particularly": 31722, "\u0120politic": 31723, "oother": 31724, "\u0120portraits": 31725, "\u0120pavement": 31726, "cffff": 31727, "\u0120saints": 31728, "\u0120beginners": 31729, "ESPN": 31730, "\u0120shortcomings": 31731, "\u00e2\u0137\u0132\u00e2\u0137\u0132": 31732, "\u0120comet": 31733, "\u0120Organic": 31734, "quel": 31735, "\u0120hospitalized": 31736, "Break": 31737, "\u0120peel": 31738, "dylib": 31739, "aspx": 31740, "urances": 31741, "\u0120TIM": 31742, "Pg": 31743, "\u0120readable": 31744, "\u0120Malik": 31745, "\u0120muzzle": 31746, "\u0120benchmarks": 31747, "dal": 31748, "\u0120Vacc": 31749, "\u0120Hicks": 31750, "609": 31751, "\u0120Biblical": 31752, "heng": 31753, "\u0120overload": 31754, "\u0120Civilization": 31755, "\u0120immoral": 31756, "\u0120fries": 31757, "\u00e3\u0124\u0134": 31758, "\u0120reproduced": 31759, "\u0120formulation": 31760, "jug": 31761, "irez": 31762, "gear": 31763, "\u0120coached": 31764, "MpServer": 31765, "\u0120SJ": 31766, "\u0120Kw": 31767, "Init": 31768, "deal": 31769, "\u0120Oro": 31770, "\u0120Loki": 31771, "\u0120Songs": 31772, "\u0120232": 31773, "\u0120Louise": 31774, "asionally": 31775, "\u0120uncond": 31776, "ollywood": 31777, "\u0120progressives": 31778, "\u0120Enough": 31779, "\u0120Doe": 31780, "\u0120wreckage": 31781, "\u0120brushed": 31782, "\u0120BaseType": 31783, "\u0120zoning": 31784, "ishable": 31785, "hetically": 31786, "\u0120Caucus": 31787, "\u0120Hue": 31788, "\u0120karma": 31789, "\u0120Sporting": 31790, "\u0120trader": 31791, "\u0120seeming": 31792, "\u0120Capture": 31793, "430": 31794, "bish": 31795, "\u0120tunes": 31796, "\u0120indoors": 31797, "\u0120Sphere": 31798, "\u0120Dancing": 31799, "TERN": 31800, "\u0120nob": 31801, "\u0120GST": 31802, "maps": 31803, "\u0120peppers": 31804, "Fit": 31805, "\u0120oversees": 31806, "\u0120Rabbi": 31807, "\u0120Ruler": 31808, "vertising": 31809, "office": 31810, "xxx": 31811, "\u0120raft": 31812, "Changed": 31813, "\u0120textbooks": 31814, "Links": 31815, "\u0120Omn": 31816, "\u00e3\u0122\u0133": 31817, "\u0120inconvenience": 31818, "\u0120Donetsk": 31819, "=~": 31820, "\u0120implicitly": 31821, "\u0120boosts": 31822, "\u0120Bones": 31823, "\u0120Boom": 31824, "Courtesy": 31825, "\u0120sensational": 31826, "ANY": 31827, "\u0120greedy": 31828, "eden": 31829, "\u0120inexper": 31830, "\u0120Ler": 31831, "\u0120Vale": 31832, "\u0120tighten": 31833, "\u0120EAR": 31834, "\u0120Num": 31835, "\u0120ancestor": 31836, "Sent": 31837, "\u0120Horde": 31838, "urgical": 31839, "allah": 31840, "\u0120sap": 31841, "amba": 31842, "\u0120Spread": 31843, "twitch": 31844, "\u0120grandson": 31845, "\u0120fracture": 31846, "\u0120moderator": 31847, "\u0120Seventh": 31848, "\u0120Reverse": 31849, "\u0120estimation": 31850, "Choose": 31851, "\u0120parach": 31852, "\u0120barric": 31853, "\u00e3\u0122\u0132": 31854, "\u0120compass": 31855, "\u0120allergic": 31856, "\u00e2\u0122\u0137": 31857, "OTHER": 31858, "errilla": 31859, "\u0120wagon": 31860, "\u0120zinc": 31861, "\u0120rubbed": 31862, "\u0120Fuller": 31863, "\u0120Luxembourg": 31864, "\u0120Hoover": 31865, "\u0120liar": 31866, "\u0120Evening": 31867, "\u0120Cobb": 31868, "esteem": 31869, "\u0120selector": 31870, "\u0120Brawl": 31871, "isance": 31872, "\u0120Ek": 31873, "\u0120troop": 31874, "\u0120guts": 31875, "\u0120Appeal": 31876, "\u0120Tibetan": 31877, "\u0120routines": 31878, "\u0120Ment": 31879, "\u0120summarized": 31880, "steamapps": 31881, "\u0120tranqu": 31882, "\u01201929": 31883, "oran": 31884, "\u0120Authent": 31885, "\u0120gmaxwell": 31886, "\u0120apprehens": 31887, "\u0120poems": 31888, "\u0120sausage": 31889, "\u0120Webster": 31890, "urus": 31891, "\u0120themed": 31892, "\u0120lounge": 31893, "\u0120charger": 31894, "Spoiler": 31895, "\u0120spilled": 31896, "hog": 31897, "\u0120Sunder": 31898, "\u0120Ain": 31899, "\u0120Angry": 31900, "\u0120disqual": 31901, "\u0120Frequency": 31902, "\u0120Ethernet": 31903, "\u0120helper": 31904, "Percent": 31905, "\u0120horrifying": 31906, "\u0120ail": 31907, "\u0120Allan": 31908, "EEE": 31909, "\u0120Crossing": 31910, "449": 31911, "\u0120holog": 31912, "\u0120Puzzles": 31913, "\u0120Goes": 31914, "erenn": 31915, "604": 31916, "\u00e3\u0123\u0131": 31917, "\u0120Rafael": 31918, "\u0120atten": 31919, "\u0120Emanuel": 31920, "\u0120upro": 31921, "\u0120Susp": 31922, "Psych": 31923, "\u0120Trainer": 31924, "\u0120NES": 31925, "\u0120Hunts": 31926, "becue": 31927, "\u0120counselor": 31928, "Rule": 31929, "\u0120toxins": 31930, "\u0120banners": 31931, "rifice": 31932, "\u0120greeting": 31933, "\u0120frenzy": 31934, "\u0120allocate": 31935, "\u0120*)": 31936, "expr": 31937, "503": 31938, "\u0120Chick": 31939, "\u0120Torn": 31940, "\u0120consolidation": 31941, "\u0120Fletcher": 31942, "switch": 31943, "frac": 31944, "clips": 31945, "\u0120McKin": 31946, "\u0120Lunar": 31947, "Month": 31948, "ITCH": 31949, "\u0120scholarly": 31950, "raped": 31951, "398": 31952, "\u01201910": 31953, "\u0120egreg": 31954, "\u0120insecure": 31955, "\u0120victorious": 31956, "cffffcc": 31957, "\u0120singled": 31958, "\u0120elves": 31959, "\u0120Wond": 31960, "burst": 31961, "\u0120camoufl": 31962, "\u0120BLACK": 31963, "\u0120conditioned": 31964, "\u00e7\u012b": 31965, "answered": 31966, "\u0120compulsory": 31967, "ascist": 31968, "\u0120podcasts": 31969, "\u0120Frankfurt": 31970, "bnb": 31971, "\u0120neoliberal": 31972, "\u0120Keyboard": 31973, "\u0120Belle": 31974, "warm": 31975, "\u0120trusts": 31976, "\u0120insured": 31977, "\u0120Bucc": 31978, "usable": 31979, "607": 31980, "\u0120Plains": 31981, "\u01201890": 31982, "\u0120sabotage": 31983, "\u0120lodged": 31984, "felt": 31985, "\u0120ga": 31986, "\u0120Narc": 31987, "\u0120Salem": 31988, "\u0120seventy": 31989, "\u0120Blank": 31990, "pocket": 31991, "\u0120whisper": 31992, "\u0120mating": 31993, "omics": 31994, "\u0120Salman": 31995, "\u0120Kad": 31996, "\u0120angered": 31997, "\u0120collisions": 31998, "\u0120extraordinarily": 31999, "\u0120coercion": 32000, "Ghost": 32001, "birds": 32002, "\u00e8\u0122": 32003, "kok": 32004, "\u0120permissible": 32005, "avorable": 32006, "\u0120pointers": 32007, "\u0120dissip": 32008, "aci": 32009, "\u0120theatrical": 32010, "\u0120Cosmic": 32011, "\u0120forgetting": 32012, "\u0120finalized": 32013, "\u00e5\u00a4\u00a7": 32014, "yout": 32015, "library": 32016, "\u0120booming": 32017, "\u0120Believe": 32018, "\u0120Teacher": 32019, "\u0120Liv": 32020, "\u0120GOODMAN": 32021, "\u0120Dominican": 32022, "ORED": 32023, "\u0120Parties": 32024, "\u0120precipitation": 32025, "\u0120Slot": 32026, "Roy": 32027, "\u0120Combined": 32028, "\u0120integrating": 32029, "\u0120chrome": 32030, "\u0120intestinal": 32031, "\u0120Rebell": 32032, "\u0120matchups": 32033, "\u0120blockbuster": 32034, "\u0120Loren": 32035, "\u0120Levy": 32036, "\u0120preaching": 32037, "\u0120Sending": 32038, "\u0120Purpose": 32039, "rax": 32040, "fif": 32041, "\u0120authoritative": 32042, "\u0120PET": 32043, "astical": 32044, "\u0120dishon": 32045, "\u0120chatting": 32046, "\u0120\"$:/": 32047, "Connection": 32048, "\u0120recreate": 32049, "\u0120delinqu": 32050, "\u0120broth": 32051, "\u0120Dirty": 32052, "\u0120Admin": 32053, "zman": 32054, "\u0120scholarships": 32055, "\u0120253": 32056, "contact": 32057, "alsa": 32058, "767": 32059, "creen": 32060, "abbage": 32061, "\u01201915": 32062, "\u0120blended": 32063, "\u0120alarmed": 32064, "Language": 32065, "356": 32066, "\u0120blends": 32067, "\u0120Changed": 32068, "Wolf": 32069, "\u0120hepat": 32070, "Creating": 32071, "\u0120persecut": 32072, "\u0120sweetness": 32073, "arte": 32074, "\u0120forfeiture": 32075, "\u0120Roberto": 32076, "impro": 32077, "NFL": 32078, "\u0120Magnet": 32079, "Detailed": 32080, "\u0120insignificant": 32081, "\u0120POLIT": 32082, "\u0120BBQ": 32083, "\u0120CPS": 32084, "\u0120seaw": 32085, "aminer": 32086, "mL": 32087, "endif": 32088, "finals": 32089, "\u0120265": 32090, "uish": 32091, "\u0120})": 32092, "\u0120Problems": 32093, "\u0120emblem": 32094, "\u0120seriousness": 32095, "\u0120parsing": 32096, "\u0120substitution": 32097, "\u0120pressured": 32098, "\u0120recycled": 32099, "aleb": 32100, "Ruby": 32101, "\u0120proficiency": 32102, "Driver": 32103, "\u0120Wester": 32104, ":'": 32105, "AFTA": 32106, "\u0120mantle": 32107, "\u0120Clayton": 32108, "flag": 32109, "\u0120practitioner": 32110, "covered": 32111, "\u0120Struct": 32112, "addafi": 32113, "425": 32114, "\u0120Township": 32115, "\u0120Hydro": 32116, "Louis": 32117, "343": 32118, "\u0120condo": 32119, "\u0120Tao": 32120, "\u0120utilization": 32121, "\u0120nausea": 32122, "\u0120Dems": 32123, "ridges": 32124, "pause": 32125, "\u0120formulas": 32126, "\u0120challenger": 32127, "376": 32128, "\u0120defective": 32129, "\u0120Railway": 32130, "\u0120PubMed": 32131, "\u0120yogurt": 32132, "lbs": 32133, "\u0120Norfolk": 32134, "OPE": 32135, "\u0120Moody": 32136, "\u0120distributor": 32137, "\u0120scrolls": 32138, "\u0120extracts": 32139, "Stan": 32140, "\u0120viability": 32141, "\u0120exposes": 32142, "\u0120starvation": 32143, "\u0120Steps": 32144, "\u0120Dodd": 32145, "few": 32146, "STD": 32147, "332": 32148, "\u0120closures": 32149, "\u0120complementary": 32150, "\u0120Sasha": 32151, "umpy": 32152, "\u0120monet": 32153, "\u0120articulate": 32154, "\u0120Doct": 32155, "killer": 32156, "\u0120scrim": 32157, "\u0120264": 32158, "\u0120prostitutes": 32159, "\u0120severed": 32160, "\u0120attachments": 32161, "\u0120cooled": 32162, "Lev": 32163, "\u0120Falk": 32164, "fail": 32165, "\u0120policeman": 32166, "\u0120Dag": 32167, "\u0120prayed": 32168, "\u0120Kernel": 32169, "\u0120clut": 32170, "\u0120cath": 32171, "\u0120anomaly": 32172, "Storm": 32173, "emaker": 32174, "\u0120Breakfast": 32175, "uli": 32176, "oire": 32177, "JJ": 32178, "hz": 32179, "Operation": 32180, "\u0120Sick": 32181, "354": 32182, "\u0120Guatemala": 32183, "Rate": 32184, "\u0120exposures": 32185, "faces": 32186, "\u0120Archae": 32187, "raf": 32188, "\u0120Mia": 32189, "\u01202025": 32190, "\u0120opaque": 32191, "\u0120disguised": 32192, "\u0120Headquarters": 32193, "Sah": 32194, "\u0120pots": 32195, "978": 32196, "\u0120Malf": 32197, "\u0120frowned": 32198, "\u0120poisonous": 32199, "\u0120Convers": 32200, "eeks": 32201, "\u0120crab": 32202, ".\"\"": 32203, "\u0120treason": 32204, "\u0120ranc": 32205, "\u0120escalating": 32206, "\u0120warr": 32207, "\u0120mobs": 32208, "\u0120lamps": 32209, "\u0120Sunshine": 32210, "\u0120Brunswick": 32211, "Phones": 32212, "\u0120spelled": 32213, "\u0120Skip": 32214, "\u01202050": 32215, "\u01201911": 32216, "\u0120Pluto": 32217, "\u0120Amend": 32218, "\u0120meats": 32219, "387": 32220, "\u0120stomp": 32221, "\u0120Zhou": 32222, "\u0120Leviathan": 32223, "\u0120Hazard": 32224, "adv": 32225, "\u0120Orwell": 32226, "\u0120aloud": 32227, "\u0120bumper": 32228, "\u0120Anarch": 32229, "ubuntu": 32230, "\u0120Serious": 32231, "fitting": 32232, "\u0120Optional": 32233, "\u0120Cecil": 32234, "REAM": 32235, "\u0120serotonin": 32236, "\u0120cultivate": 32237, "agogue": 32238, "}\\": 32239, "\u0120mosques": 32240, "\u0120Sunny": 32241, "\u0120reactive": 32242, "revolution": 32243, "\u0120Lup": 32244, "\u0120Fedora": 32245, "\u0120defenseman": 32246, "\u0120VID": 32247, "istine": 32248, "\u0120drowning": 32249, "\u0120Broadcasting": 32250, "\u0120thriller": 32251, "\u0120Scy": 32252, "\u0120accelerating": 32253, "\u0120directs": 32254, "odied": 32255, "bike": 32256, "duration": 32257, "\u0120painfully": 32258, "Redd": 32259, "\u0120productions": 32260, "\u0120gag": 32261, "\u0120whist": 32262, "\u0120sock": 32263, "\u0120infinitely": 32264, "\u0120Concern": 32265, "\u0120Citadel": 32266, "\u0120lieu": 32267, "\u0120candles": 32268, "ogeneous": 32269, "arger": 32270, "\u0120heavenly": 32271, "inflammatory": 32272, "Performance": 32273, "Cs": 32274, "ructose": 32275, "azaki": 32276, "\u0120pessim": 32277, "\u0120inference": 32278, "\u0120powd": 32279, "\u0120Zoe": 32280, "\u0120paints": 32281, "\u0120dazz": 32282, "pta": 32283, "-----------": 32284, "\u0120inspir": 32285, "\u0120Experimental": 32286, "\u0120Knife": 32287, "regor": 32288, "bors": 32289, "\u0120showers": 32290, "romeda": 32291, "\u0120saint": 32292, "\u0120benign": 32293, "\u0120Jiang": 32294, "\u0120envisioned": 32295, "\u0120shroud": 32296, "IFT": 32297, "HO": 32298, "\u0120shuff": 32299, "\u0120ICC": 32300, "\u0120segreg": 32301, "\u0120revisit": 32302, "ighthouse": 32303, "Li": 32304, "\u0120substrate": 32305, "\u0120Seas": 32306, "\u0120Reward": 32307, "\u0120Hep": 32308, "\u0120Brass": 32309, "sbm": 32310, "\u0120eliminates": 32311, "\u0120stamina": 32312, "\u0120VAT": 32313, "\u0120Loan": 32314, "\u0120constraint": 32315, "\u0120appropriated": 32316, "\u0120pes": 32317, "\u0120ALE": 32318, "ranging": 32319, "\u0120404": 32320, "392": 32321, "\u0120intellectuals": 32322, "achu": 32323, "\u0120restructuring": 32324, "\u0120Levin": 32325, "\u0120runes": 32326, "\u0120delightful": 32327, "\u0120carbohydrates": 32328, "\u0120Models": 32329, "\u0120Expo": 32330, "\u0120transporting": 32331, "alloc": 32332, "\u0120ringing": 32333, "Samsung": 32334, "\u0120scarcely": 32335, "\u0120URLs": 32336, "\u0120MAS": 32337, "\u0120prototypes": 32338, "\u0120narrator": 32339, "\u0120CPUs": 32340, "cdn": 32341, "\u0120Barton": 32342, "\u0120decidedly": 32343, "\u0120Shu": 32344, "ixir": 32345, "ocious": 32346, "\u0120Myst": 32347, "Nintendo": 32348, "\u0120reuse": 32349, "\u0120forgiven": 32350, "Few": 32351, "inical": 32352, "nat": 32353, "\u0120seamless": 32354, "\u0120Eva": 32355, "\u0120EVE": 32356, "\u0120JO": 32357, "landers": 32358, "\u0120softer": 32359, "negie": 32360, "\u0120transient": 32361, "\u0120orbital": 32362, "\u0120fulfil": 32363, "\u0120Kom": 32364, "Hopefully": 32365, "\u0120dynamically": 32366, "\u0120Hunger": 32367, "\u00e5\u013d": 32368, "\u0120Armenia": 32369, "elman": 32370, "berto": 32371, "\u0120pige": 32372, "\u0120IDs": 32373, "limit": 32374, "\u0120veins": 32375, "\u0120soaring": 32376, "packs": 32377, "Golden": 32378, "\u0120Crab": 32379, "istor": 32380, "\u0120RPM": 32381, "\u0120$$": 32382, "gression": 32383, "\u0120jihadist": 32384, "\u0120gamble": 32385, "\u0120careg": 32386, "\u0120inflated": 32387, "Face": 32388, "\u0120Firearms": 32389, "\u0120Emmanuel": 32390, "\u00e2\u013f": 32391, "\u0120shocks": 32392, "grab": 32393, "\u0120splend": 32394, "\u0120HPV": 32395, "abortion": 32396, "Above": 32397, "Entity": 32398, "players": 32399, "\u0120commenced": 32400, "ulence": 32401, "\u0120fulfillment": 32402, "\u0120embodiments": 32403, "\u0120Welfare": 32404, "\u0120hail": 32405, "\u0120<@": 32406, "tten": 32407, "\u0120catcher": 32408, "\u0120Jazeera": 32409, "\u0120volcano": 32410, "\u0120stabilize": 32411, "\u0120Handler": 32412, "\u0120intensified": 32413, "\u0120Abrams": 32414, "\u0120humiliation": 32415, "paced": 32416, "605": 32417, "\u0120CentOS": 32418, "Specific": 32419, "\u0120heed": 32420, "\u0120CAM": 32421, "\u0120Galile": 32422, "Die": 32423, "\u0120abolished": 32424, "\u0120Thomson": 32425, "\u0120Teachers": 32426, "\u0120Wass": 32427, "jong": 32428, "\u0120ISBN": 32429, "\u0120Allies": 32430, "shake": 32431, "\u00e5\u00b7": 32432, "vict": 32433, "Howard": 32434, "\u0120deem": 32435, "\u0120exceedingly": 32436, "\u0120Smartstocks": 32437, "ibe": 32438, "\u0120doorway": 32439, "\u0120competed": 32440, "igmat": 32441, "\u0120nationalists": 32442, "\u0120groom": 32443, "\u0120Keen": 32444, "\u0120disposable": 32445, "decl": 32446, "\u0120Tolkien": 32447, "\u0120Scheme": 32448, "\u0120biod": 32449, "\u0120avid": 32450, "\u0120Elon": 32451, "agar": 32452, "\u0120TSA": 32453, "Roman": 32454, "\u0120artificially": 32455, "\u0120advisors": 32456, "XL": 32457, "\u0120Inferno": 32458, "366": 32459, "\u0120tedious": 32460, "\u0120Photography": 32461, "\u0120Carrie": 32462, "\u0120trope": 32463, "\u0120Sandra": 32464, "\u0120decimal": 32465, "Queen": 32466, "\u0120Gundam": 32467, "\u0120OM": 32468, "otech": 32469, "NBA": 32470, "\u01201932": 32471, "\u0120entrenched": 32472, "\u0120Marion": 32473, "\u0120fraternity": 32474, "Labour": 32475, "Henry": 32476, "\u0120latitude": 32477, "Either": 32478, "\u0120enhances": 32479, "\u0120Potential": 32480, "\u0120shines": 32481, "idad": 32482, "\u0120breadth": 32483, "\u0120capacities": 32484, "\u0120\u00f0\u0141\u013b\u0124": 32485, "\u0120Bronx": 32486, "\u0120sexes": 32487, "\u0120differentiation": 32488, "\u0120heavyweight": 32489, "\u0120Taj": 32490, "dra": 32491, "\u0120migrate": 32492, "\u0120exhaustion": 32493, "\u0120RUN": 32494, "elsius": 32495, "\u0120Cuomo": 32496, "\u0120guitars": 32497, "\u0120clones": 32498, "\u0120Somew": 32499, "\u0120Pry": 32500, "-------------": 32501, "\u0120warranted": 32502, "cycles": 32503, "\u0120salvage": 32504, "\u0120disks": 32505, "RANT": 32506, "\u0120NGOs": 32507, "\u0120Martian": 32508, "\":[{\"": 32509, "\u0120addicts": 32510, "ojure": 32511, "illet": 32512, "\u0120amazingly": 32513, "artments": 32514, "pixel": 32515, "\u0120GPUs": 32516, "Layout": 32517, "\u00e8\u00a3": 32518, "\u0120Tamil": 32519, "\u0120Basil": 32520, "\u0120impartial": 32521, "\u0120Structure": 32522, "fork": 32523, "bryce": 32524, "\u0120ridge": 32525, "\u0120Hamburg": 32526, "rious": 32527, "\u0120blitz": 32528, "cigarettes": 32529, "\u0120canned": 32530, "402": 32531, "\u0120ironically": 32532, "\u0120compassionate": 32533, "\u0120Hawkins": 32534, ".#": 32535, "\u0120Cathedral": 32536, "\u0120rallied": 32537, "internal": 32538, "\u0120quota": 32539, "stakes": 32540, "TEXT": 32541, "mom": 32542, "\u0120completes": 32543, "\u0120238": 32544, "\u0120shrug": 32545, "\u00e3\u0125\u0133": 32546, "\u0120Ninth": 32547, "\u0120revise": 32548, "\u0120Provider": 32549, "\u0120treacher": 32550, "\u0120quasi": 32551, "\u0120PRES": 32552, "\u0120deposition": 32553, "\u0120confidentiality": 32554, "issors": 32555, "\u0120imbalance": 32556, "\u0120spanning": 32557, "\u0120angular": 32558, "\u0120Cul": 32559, "communication": 32560, "\u0120Nora": 32561, "\u0120Genius": 32562, "opter": 32563, "\u0120sacked": 32564, "Spot": 32565, "\u0120finely": 32566, "\u0120CHR": 32567, "282": 32568, "waves": 32569, "Palest": 32570, "\u0120Rohing": 32571, "NL": 32572, "\u00e8\u00bf": 32573, "\u0120shitty": 32574, "\u0120Scalia": 32575, "475": 32576, "Progress": 32577, "\u0120referencing": 32578, "\u0120classrooms": 32579, "abee": 32580, "\u0120sod": 32581, "hesion": 32582, "708": 32583, "\u0120Zuckerberg": 32584, "\u0120Finish": 32585, "\u0120Scotia": 32586, "\u0120Savior": 32587, "\u0120Installation": 32588, "antha": 32589, "(-": 32590, "\u0120302": 32591, "\u0120Punk": 32592, "\u0120crater": 32593, "youtu": 32594, "\u0120roast": 32595, "\u0120influencing": 32596, "\u0120dup": 32597, "\u0120JR": 32598, "\u0120Grav": 32599, "\u0120stature": 32600, "\u0120bathrooms": 32601, "Aside": 32602, "Wiki": 32603, "mean": 32604, "\u0120Zak": 32605, "\u0120Ones": 32606, "\u0120Nath": 32607, "\u0120hypert": 32608, "\u0120commencement": 32609, "Civil": 32610, "\u0120moderately": 32611, "\u0120distributors": 32612, "\u0120breastfeeding": 32613, "\u0120980": 32614, "\u0120Sik": 32615, "\u0120Cig": 32616, "\u0120AMER": 32617, "RIP": 32618, "\u0120Career": 32619, "usting": 32620, "\u0120messed": 32621, "\u0120eh": 32622, "\u0120Jensen": 32623, "/$": 32624, "\u0120blackmail": 32625, "\u0120conversions": 32626, "\u0120scientifically": 32627, "\u0120mantra": 32628, "paying": 32629, "\u0120ivory": 32630, "\u0120Courts": 32631, "OUGH": 32632, "auntlet": 32633, "Serial": 32634, "Brow": 32635, "\u0120Hundreds": 32636, "323": 32637, "\u0120pee": 32638, "\u0120linux": 32639, "\u0120submer": 32640, "\u0120Principal": 32641, "485": 32642, "\u0120DSL": 32643, "\u0120Cousins": 32644, "\u0120doctrines": 32645, "\u0120Athletics": 32646, "\u0120315": 32647, "\u0120Karma": 32648, "\u0120attent": 32649, "urger": 32650, "\u0120prescribe": 32651, "\u0120encaps": 32652, "\u0120Came": 32653, "\u0120secretive": 32654, "\u0120Crimes": 32655, "dn": 32656, "Clean": 32657, "\u0120Egyptians": 32658, "\u0120Carpenter": 32659, "\u0120ll": 32660, "Hum": 32661, "\u0120Milo": 32662, "\u0120capitalists": 32663, "\u0120briefed": 32664, "Twe": 32665, "\u0120Basin": 32666, "elvet": 32667, "Mos": 32668, "\u0120plunge": 32669, "\u0120Kaiser": 32670, "\u0120Fuj": 32671, "illin": 32672, "\u0120safeguards": 32673, "\u0120oste": 32674, "\u0120Opportunity": 32675, "\u0120Mafia": 32676, "\u0120Calling": 32677, "apa": 32678, "urban": 32679, "brush": 32680, "illard": 32681, "c\u00c3\u00a9": 32682, "intelligence": 32683, "\u0120Lob": 32684, "\u0120Druid": 32685, "\u0120smoother": 32686, "\u0120footing": 32687, "\u0120motorists": 32688, "arcity": 32689, "\u0120masculinity": 32690, "\u0120mism": 32691, "\u0120abdominal": 32692, "\u0120Tavern": 32693, "\u0120Roh": 32694, "\u0120escapes": 32695, "signed": 32696, "Anthony": 32697, "\u0120sacrificing": 32698, "\u0120intimacy": 32699, "\u0120anterior": 32700, "\u0120Kod": 32701, "\u0120motif": 32702, "\u0120graz": 32703, "\u0120visualization": 32704, "\u0120guitarist": 32705, "\u0120Trotsky": 32706, "magic": 32707, "Dar": 32708, "\u0120Mori": 32709, "\u0120wards": 32710, "\u0120toilets": 32711, "lest": 32712, "\u0120teleport": 32713, "\u0120Sundays": 32714, "\u0120Plat": 32715, "ETS": 32716, "\u0120eSports": 32717, "Patrick": 32718, "\u0120Katherine": 32719, "enko": 32720, "\u0120hassle": 32721, "\u0120Mick": 32722, "ggles": 32723, "\u0120hob": 32724, "aintain": 32725, "\u0120airborne": 32726, "\u0120spans": 32727, "\u0120chili": 32728, "\u0120aperture": 32729, "\u0120volunteered": 32730, "\u0120Incident": 32731, "\u0120Fres": 32732, "\u0120Veteran": 32733, "aughtered": 32734, "ingo": 32735, "\u0120uninsured": 32736, "CLOSE": 32737, "\u0120fuse": 32738, "\u0120erotic": 32739, "\u0120advertise": 32740, "raising": 32741, "Texture": 32742, "\u0120attends": 32743, "\u0120REAL": 32744, "uddled": 32745, "\u0120smoot": 32746, "\u0120305": 32747, "\u0120Willis": 32748, "\u0120blond": 32749, "Analysis": 32750, "\u0120VT": 32751, "onica": 32752, "\u0120stronghold": 32753, "RF": 32754, "NM": 32755, ".>>": 32756, "\u0120prosperous": 32757, "\u0120boasted": 32758, "292": 32759, "\u0120Manufacturing": 32760, "PRESS": 32761, "gren": 32762, "\u0120pharmacy": 32763, "\u0120Rockefeller": 32764, "kai": 32765, "\u0120thumbs": 32766, "\u0120Hut": 32767, "\u0120motherboard": 32768, "\u0120guardians": 32769, "\u0120Alter": 32770, "llular": 32771, "\u0120shack": 32772, "\u0120wisely": 32773, "\u0120backbone": 32774, "erva": 32775, "\u0120suicides": 32776, "\u0120McGregor": 32777, "ijah": 32778, "Emer": 32779, "\u0120Brav": 32780, "\u0120designate": 32781, "POST": 32782, "produced": 32783, "\u0120cleansing": 32784, "irlwind": 32785, "existent": 32786, "\u0120Humph": 32787, "\u0120Payne": 32788, "\u0120vested": 32789, "\u00c5\u00a1": 32790, "\u0120stringent": 32791, "iona": 32792, "\u0120unsub": 32793, "\u0120summed": 32794, "\u0120Hercules": 32795, "subject": 32796, "\u0120Ragnar": 32797, "\u0120Nos": 32798, "\u0120characterization": 32799, "\u0120savvy": 32800, "\u0120Dawson": 32801, "\u0120Casino": 32802, "\u0120fri": 32803, "\u0120Barrier": 32804, "\u0120misinformation": 32805, "\u0120insulation": 32806, "\u0120corridors": 32807, "\u0120airplanes": 32808, "\u0120Noct": 32809, "ahi": 32810, "\u01201916": 32811, "kb": 32812, "armac": 32813, "\u0120shun": 32814, "\u0120schema": 32815, "\u0120horrified": 32816, "\u0120239": 32817, "aunders": 32818, "NB": 32819, "iates": 32820, "erity": 32821, "\u0120Shard": 32822, "\u0120rarity": 32823, "\u0120grouped": 32824, "\u0120Ghana": 32825, "against": 32826, "\u0120Biological": 32827, "\u0120Aware": 32828, "owell": 32829, "\u00cf\u0126": 32830, "\u0120Beau": 32831, "shaw": 32832, "Hack": 32833, "\u0120Julius": 32834, "USS": 32835, "olson": 32836, "auna": 32837, "cru": 32838, "\u0120Maurice": 32839, "\u0120Ik": 32840, "\u0120sequencing": 32841, "\u0120radicals": 32842, "\u0120(?,": 32843, "virtual": 32844, "\u0120anyways": 32845, "\u0120reperc": 32846, "\u0120handlers": 32847, "\u0120hesitant": 32848, "\u00e9\u0125": 32849, "\u0120MF": 32850, "plementation": 32851, "associated": 32852, "\u0120campaigned": 32853, "\u0120Yue": 32854, "utations": 32855, "\u0120Yoga": 32856, "\u0120simmer": 32857, "\u0120rods": 32858, "\u0120melody": 32859, "\u0120convoy": 32860, "videos": 32861, "\u0120screened": 32862, "Neg": 32863, "ochemical": 32864, "\u0120())": 32865, "\u0120ultras": 32866, "\u0120antip": 32867, "\u0120Islanders": 32868, "704": 32869, "\u0120fetish": 32870, "\u0120ridiculously": 32871, "\u0120Kart": 32872, "\u0120mitochondrial": 32873, "\u0120interfering": 32874, "Builder": 32875, "\u0120overfl": 32876, "\u0120acne": 32877, "\u0120Mud": 32878, "\u0120Kerr": 32879, "flex": 32880, "\u0120Postal": 32881, "\u0120Baltic": 32882, "477": 32883, "\u0120Persons": 32884, "ourage": 32885, "HB": 32886, "\u0120Muse": 32887, "\u0120Immortal": 32888, "\u0120Driving": 32889, "\u0120petitions": 32890, "\u0120subscript": 32891, "\u0120sorce": 32892, "\u0120Processor": 32893, "uton": 32894, "Sony": 32895, "\u0120phon": 32896, "\u0120raced": 32897, "\u0120Anthrop": 32898, "\u0120daytime": 32899, "\u0120Exercise": 32900, "Adding": 32901, "\u0120engages": 32902, "\u0120Qualcomm": 32903, "\u0120miracles": 32904, "\u0120memes": 32905, "\u0120Drink": 32906, "\u0120Orioles": 32907, "\u0120hairs": 32908, "\u0120Polar": 32909, "athom": 32910, "\u0120slippery": 32911, "\u0120Remy": 32912, "\u0120caramel": 32913, "\u0120YEAR": 32914, "\u0120alk": 32915, "Ign": 32916, "aution": 32917, "\u0120Merlin": 32918, "\u0120Cran": 32919, "\u0120apologies": 32920, "\u0120410": 32921, "\u0120outing": 32922, "\u0120Memories": 32923, "appointed": 32924, "\u0120countered": 32925, "uld": 32926, "posing": 32927, "\u0120firewall": 32928, "\u0120Wast": 32929, "\u0120Wet": 32930, "worked": 32931, "seller": 32932, "\u0120repealed": 32933, "ereo": 32934, "assuming": 32935, "BLIC": 32936, "mite": 32937, "\u0120CEOs": 32938, "\u0120Chapel": 32939, "elligent": 32940, "________________________": 32941, "Dog": 32942, "\u0120wart": 32943, "\u0120subscriber": 32944, "sports": 32945, "\u0120begged": 32946, "\u0120MV": 32947, "\u0120semif": 32948, "ethical": 32949, "\u0120preach": 32950, "\u0120revital": 32951, "\u0120punitive": 32952, "\u0120shortcuts": 32953, "\u0120instituted": 32954, "\u0120Warsaw": 32955, "\u0120abdomen": 32956, "\u0120KING": 32957, "\u0120superintendent": 32958, "\u0120fry": 32959, "\u0120Geo": 32960, "TOR": 32961, "\u0120contradictions": 32962, "aptic": 32963, "\u0120landscapes": 32964, "bugs": 32965, "\u0120clust": 32966, "\u0120volley": 32967, "cribed": 32968, "\u0120tandem": 32969, "\u0120robes": 32970, "WHAT": 32971, "\u0120promoter": 32972, "\u0120eloqu": 32973, "reviewed": 32974, "\u0120DK": 32975, "\u0120Plato": 32976, "\u0120fps": 32977, "Tank": 32978, "\u0120Derrick": 32979, "\u0120prioritize": 32980, "asper": 32981, "\u0120Honduras": 32982, "\u0120Completed": 32983, "nec": 32984, "\u0120mog": 32985, "nir": 32986, "\u0120Mayo": 32987, "DEF": 32988, "stall": 32989, "inness": 32990, "\u0120Volkswagen": 32991, "\u0120precaution": 32992, "\u0120Mell": 32993, "iak": 32994, "istries": 32995, "\u0120248": 32996, "\u0120overlapping": 32997, "Senate": 32998, "\u0120Enhance": 32999, "resy": 33000, "racial": 33001, "ORTS": 33002, "\u0120Mormons": 33003, "Strong": 33004, "\u0120Coch": 33005, "Mexico": 33006, "\u0120Maduro": 33007, "\u0120jars": 33008, "\u0120cane": 33009, "Wik": 33010, "olla": 33011, "ifference": 33012, "\u0120physicist": 33013, "\u0120Maggie": 33014, "\u0120285": 33015, "\u0120depiction": 33016, "\u0120McLaren": 33017, "Ju": 33018, "\u0120slows": 33019, "\u0120commissioners": 33020, "\u0120Willow": 33021, "\u0120Explos": 33022, "hovah": 33023, "\u0120technician": 33024, "\u0120homicides": 33025, "\u0120Flav": 33026, "\u0120Truman": 33027, "\u012010000": 33028, "uctor": 33029, "\u0120shader": 33030, "Newsletter": 33031, "457": 33032, "\u0120rever": 33033, "\u0120hardened": 33034, "\u0120whereabouts": 33035, "\u0120redevelop": 33036, "\u0120carbs": 33037, "\u0120travers": 33038, "\u0120squirrel": 33039, "\u0120follower": 33040, "\u0120sings": 33041, "508": 33042, "\u0120rabbits": 33043, "emonium": 33044, "\u0120documenting": 33045, "\u0120misunderstood": 33046, ")'": 33047, "Rick": 33048, "ggies": 33049, "\u0120premie": 33050, "\u0120skating": 33051, "\u0120passports": 33052, "\u0120fists": 33053, "ageddon": 33054, "Haw": 33055, "ACP": 33056, "080": 33057, "\u0120Thoughts": 33058, "\u0120Carlson": 33059, "\u0120priesthood": 33060, "hua": 33061, "\u0120dungeons": 33062, "\u0120Loans": 33063, "\u0120antis": 33064, "\u0120familiarity": 33065, "\u0120Sabb": 33066, "opal": 33067, "\u0120Ink": 33068, "strike": 33069, "\u0120cram": 33070, "\u0120legalized": 33071, "\u0120cuisine": 33072, "\u0120fibre": 33073, "Travel": 33074, "\u0120Monument": 33075, "ODY": 33076, "ethy": 33077, "\u0120interstate": 33078, "\u0120PUR": 33079, "emporary": 33080, "\u0120Arabian": 33081, "developed": 33082, "\u0120saddle": 33083, "\u0120github": 33084, "\u0120Offer": 33085, "\u0120ISP": 33086, "rolet": 33087, "\u0120SUPER": 33088, "\u0120Denis": 33089, "\u0120multiplier": 33090, "\u0120stirred": 33091, "Interestingly": 33092, "\u0120customary": 33093, "\u0120billed": 33094, "hex": 33095, "\u0120multiplied": 33096, "\u0120flipping": 33097, "\u0120Crosby": 33098, "\u0120fundamentals": 33099, "iae": 33100, "\u0120Played": 33101, "\u0120Atom": 33102, "amazon": 33103, "\u0120Flam": 33104, "eez": 33105, "activated": 33106, "\u0120tablespoon": 33107, "\u0120liberalism": 33108, "\u0120Palin": 33109, "\u0120Patel": 33110, "Num": 33111, "\u0120TAM": 33112, "\u0120surn": 33113, "\u0120Reloaded": 33114, "\u0120coined": 33115, "\"],": 33116, "\u0120Clash": 33117, "\u0120Agu": 33118, "\u0120pragmatic": 33119, "\u0120Activate": 33120, "\u0120802": 33121, "\u0120trailers": 33122, "\u0120silhou": 33123, "\u0120probes": 33124, "\u0120circus": 33125, "\u0120Bain": 33126, "\u0120Lindsay": 33127, "\u0120Abbey": 33128, "Delivery": 33129, "\u0120concession": 33130, "\u0120gastro": 33131, "\u0120Sprite": 33132, "\u00c4\u0141": 33133, "andel": 33134, "\u0120gimm": 33135, "\u0120autobi": 33136, "\u0120Turtle": 33137, "\u0120wonderfully": 33138, "\u0120Haram": 33139, "\u0120Worldwide": 33140, "\u0120Handle": 33141, "\u0120theorists": 33142, "\u0120sleek": 33143, "\u0120Zhu": 33144, "ographically": 33145, "EGA": 33146, "\u0120Owners": 33147, "aths": 33148, "\u0120Antarctic": 33149, "natal": 33150, "=\"\"": 33151, "flags": 33152, "````": 33153, "\u0120sul": 33154, "Kh": 33155, "\u0120potassium": 33156, "\u0120lineman": 33157, "\u0120cereal": 33158, "\u0120Seasons": 33159, "\u01202022": 33160, "\u0120mathematic": 33161, "\u0120astronomers": 33162, "professional": 33163, "\u0120fares": 33164, "cknowled": 33165, "\u0120chi": 33166, "\u0120youngsters": 33167, "\u0120mistakenly": 33168, "\u0120hemisphere": 33169, "\u0120Divinity": 33170, "rone": 33171, "\u0120\",": 33172, "rings": 33173, "\u0120attracts": 33174, "vana": 33175, "\u00e5\u00b9": 33176, "CAP": 33177, "\u0120playlist": 33178, "\u0120porch": 33179, "\u00e3\u0123\u00a3": 33180, "\u0120incorporates": 33181, "\u0120soak": 33182, "\u0120asserting": 33183, "\u0120Terrorism": 33184, "\u0120Pablo": 33185, "Ja": 33186, "cester": 33187, "\u0120fearing": 33188, "\u0120Prayer": 33189, "\u0120escalated": 33190, "GW": 33191, "\u0120robe": 33192, "\u0120Brighton": 33193, "acists": 33194, "\u0120Symphony": 33195, "\u0120Dwarf": 33196, "\u0120Parade": 33197, "\u0120Lego": 33198, "\u0120inexpl": 33199, "\u0120lords": 33200, "leaf": 33201, "RAG": 33202, "liber": 33203, "\u0120cigars": 33204, "\u0120Jehovah": 33205, "606": 33206, "WINDOWS": 33207, "\u0120Liberia": 33208, "ebus": 33209, "Heavy": 33210, "\u0120lubric": 33211, "\u0120RW": 33212, "anguages": 33213, "\u0120narrowed": 33214, "computer": 33215, "\u0120Ember": 33216, "\u0120murdering": 33217, "\u0120downstream": 33218, "\u0120Tuls": 33219, "\u0120Tables": 33220, "Topic": 33221, "\u0120Accuracy": 33222, "=/": 33223, "lost": 33224, "\u0120Rei": 33225, "\u0120progresses": 33226, "bear": 33227, "\u0120establishments": 33228, "Justin": 33229, "\u0120Peach": 33230, "\u0120Gomez": 33231, "\u00e5\u00bf": 33232, "\u0120Triangle": 33233, "Ident": 33234, "\u0120Hive": 33235, "Resources": 33236, "\u0120mixes": 33237, "\u0120Assuming": 33238, "Mu": 33239, "\u0120hypoc": 33240, "\u0120sane": 33241, "\u0120Wan": 33242, "idious": 33243, "Success": 33244, "\u0120io": 33245, "Angel": 33246, "\u0120dangerously": 33247, "\u0120Creature": 33248, "WORK": 33249, ":[": 33250, "\u0120Katrina": 33251, "Listener": 33252, "Miller": 33253, "\u0120Idlib": 33254, "hang": 33255, "\u0120circumvent": 33256, "href": 33257, "\u0120celestial": 33258, "\u0120Weeks": 33259, "\u0120Pug": 33260, "\u0120Dalton": 33261, "\u0120subpoena": 33262, "uku": 33263, "\u0120persisted": 33264, "pei": 33265, "olding": 33266, "\u0120Documents": 33267, "\u0120Hast": 33268, "\u0120CENT": 33269, "\u0120primer": 33270, "\u0120synonymous": 33271, "\u0120nib": 33272, "ombs": 33273, "\u0120notation": 33274, "\u0120Dish": 33275, "\u0120Atmosp": 33276, "\u0120forbid": 33277, "\u0120ANG": 33278, "pattern": 33279, "los": 33280, "\u0120projectiles": 33281, "brown": 33282, ".\",": 33283, "\u0120Venom": 33284, "\u0120fiercely": 33285, "ublished": 33286, "\u0120Uran": 33287, "\u0120Nicarag": 33288, "410": 33289, "\u0120CAL": 33290, "OTOS": 33291, "\u0120Miracle": 33292, "\u0120Enchant": 33293, "\u0120guarding": 33294, "append": 33295, "Attach": 33296, "\u0120leveled": 33297, "\u0120condoms": 33298, "ihilation": 33299, "649": 33300, "\u0120nightmares": 33301, "\u0120THEY": 33302, "\u0120START": 33303, "\u0120Kinn": 33304, "\u0120roommate": 33305, "\u0120hygiene": 33306, "opping": 33307, "Job": 33308, "\u0120lvl": 33309, "\u0120VER": 33310, "\u0120Keeping": 33311, "abetic": 33312, "\u0120formatting": 33313, "erala": 33314, "\u0120revisions": 33315, "\u0120resurg": 33316, "Tel": 33317, "\u0120Goodman": 33318, "353": 33319, "pod": 33320, "\u0120indisp": 33321, "\u0120Translation": 33322, "\u0120gown": 33323, "\u0120Mund": 33324, "\u0120cis": 33325, "\u0120bystand": 33326, "collect": 33327, "\u0120Punjab": 33328, "actively": 33329, "\u0120Gamb": 33330, "tell": 33331, "\u0120importing": 33332, "gencies": 33333, "\u0120locom": 33334, "\u0120Brill": 33335, "Holy": 33336, "\u0120Berger": 33337, "\u0120showdown": 33338, "\u0120responders": 33339, "ILY": 33340, "\u0120takedown": 33341, "leted": 33342, "\u0120mattered": 33343, "\u0120predictive": 33344, "\u0120overlay": 33345, "GPU": 33346, "\u0120Vick": 33347, "\u0120conveyed": 33348, "Tab": 33349, "peer": 33350, "Scan": 33351, "\u0120defensively": 33352, "vae": 33353, "\u0120approving": 33354, "\u0120tiers": 33355, "\u0120Via": 33356, "querade": 33357, "\u0120Saudis": 33358, "\u0120demolished": 33359, "\u0120Prophe": 33360, "\u0120mono": 33361, "\u0120hospitality": 33362, "HAM": 33363, "\u0120Ariel": 33364, "MOD": 33365, "\u0120Torah": 33366, "\u0120blah": 33367, "\u0120Belarus": 33368, "erential": 33369, "\u0120Tuc": 33370, "\u0120banker": 33371, "397": 33372, "\u0120mosquit": 33373, "\u0120Scientist": 33374, "\u0120Musical": 33375, "\u0120hust": 33376, "Shift": 33377, "\u0120torment": 33378, "\u0120standoff": 33379, "Educ": 33380, "\u0120Fog": 33381, "\u0120amplifier": 33382, "Shape": 33383, "Instance": 33384, "\u0120Critics": 33385, "\u0120daemon": 33386, "Houston": 33387, "\u0120mattress": 33388, "\u0120IDF": 33389, "\u0120obscene": 33390, "\u0120Amer": 33391, "hetti": 33392, "\u0120compiling": 33393, "352": 33394, "verett": 33395, "\u0120Reduction": 33396, "istration": 33397, "\u0120Blessed": 33398, "\u0120Bachelor": 33399, "316": 33400, "\u0120prank": 33401, "\u0120Vulcan": 33402, "dding": 33403, "\u0120mourning": 33404, "\u0120Quint": 33405, "\u0120Blaster": 33406, "testing": 33407, "\u0120sediment": 33408, ">>>": 33409, "\u0120Eternity": 33410, "\u0120WHERE": 33411, "\u0120Maze": 33412, "\u0120reacting": 33413, "\u0120Alv": 33414, "omsday": 33415, "\u0120CRA": 33416, "\u0120translator": 33417, "\u0120bogus": 33418, "atu": 33419, "Website": 33420, "olls": 33421, "\u0120baptism": 33422, "\u0120sibling": 33423, "\u0120Autumn": 33424, "vez": 33425, "\u00e3\u0123\u00ae\u00e9": 33426, "guards": 33427, "Georg": 33428, "assadors": 33429, "\u0120Freud": 33430, "\u0120continents": 33431, "\u0120Registry": 33432, "Bernie": 33433, "\u0138\u013c\u00e5\u00a3\u00ab": 33434, "\u0120tolerant": 33435, "\u0120UW": 33436, "\u0120horribly": 33437, "995": 33438, "\u0120MIDI": 33439, "\u0120impatient": 33440, "ocado": 33441, "eri": 33442, "\u0120Worst": 33443, "\u0120Norris": 33444, "\u0120Talking": 33445, "\u0120defends": 33446, "ensable": 33447, "\u01202021": 33448, "\u0120anatomy": 33449, "Lew": 33450, "\u0120drawer": 33451, "\u0120Canberra": 33452, "\u0120patriotic": 33453, "\u00e9\u00be\u012f\u00e5\u0138\u013c\u00e5\u00a3\u00ab": 33454, "\u0120Avg": 33455, "ARM": 33456, "\u0120undisclosed": 33457, "\u0120farewell": 33458, "459": 33459, "bable": 33460, "\u0120Allison": 33461, "OLOG": 33462, "\u0120conco": 33463, "tight": 33464, "\u0120ACPI": 33465, "\u0120Mines": 33466, "lich": 33467, "\u0120\u00e2\u0136\u013e": 33468, "represented": 33469, "200000": 33470, "\u0120enthusiast": 33471, "OTS": 33472, "bil": 33473, "\u0120Ingredients": 33474, "\u0120inventor": 33475, "\u0120MySQL": 33476, "\u00c2\u0142\u00c2\u0142\u00c2\u0142": 33477, "\u0120ABOUT": 33478, "within": 33479, "\u0120mk": 33480, "Bul": 33481, "\u0120Fake": 33482, "\u0120draconian": 33483, "Wa": 33484, "helm": 33485, "\u0120Terran": 33486, "erville": 33487, "\u0120commonplace": 33488, "SIZE": 33489, "\u0120\"<": 33490, "replace": 33491, "ographs": 33492, "\u0120SELECT": 33493, "incible": 33494, "\u0120Mostly": 33495, "\u0120Sheffield": 33496, "\u0120IDE": 33497, "uggle": 33498, "\u0120citations": 33499, "hurst": 33500, "\u0120Unix": 33501, "\u0120unleash": 33502, "\u0120Piper": 33503, "\u0120Nano": 33504, "\u0120succumb": 33505, "\u0120reluctance": 33506, "\u01202500": 33507, "\u0120Merchant": 33508, "\u0120wiret": 33509, "\u0120combos": 33510, "\u0120Birthday": 33511, "\u0120charcoal": 33512, "\u0120UPS": 33513, "\u0120Fairfax": 33514, "\u0120driveway": 33515, "\u0120Tek": 33516, "\u0120Pitch": 33517, "overe": 33518, "\u0120technicians": 33519, "\u0120Actual": 33520, "flation": 33521, "\u0120Fiscal": 33522, "\u0120Empty": 33523, "anamo": 33524, "\u0120magnesium": 33525, "\u0120slut": 33526, "\u0120growers": 33527, "Investigators": 33528, "():": 33529, "\u0120Satellite": 33530, "\u0120Keynes": 33531, "missive": 33532, "lane": 33533, "\u0120borough": 33534, "344": 33535, "\u0120TEAM": 33536, "\u0120Bethesda": 33537, "CV": 33538, "hower": 33539, "\u0120RAD": 33540, "\u0120chant": 33541, "\u0120Riy": 33542, "\u0120compositions": 33543, "\u0120mildly": 33544, "\u0120meddling": 33545, "\u0120agility": 33546, "aneers": 33547, "501": 33548, "\u0120synth": 33549, "linger": 33550, "291": 33551, "\u0120exclaimed": 33552, "Party": 33553, "\u0120contamin": 33554, "\u0120Manor": 33555, "\u0120Respond": 33556, "\u0120praising": 33557, "\u0120manners": 33558, "fleet": 33559, "Summer": 33560, "\u0120Lynd": 33561, "\u0120Definitely": 33562, "grim": 33563, "\u0120bowling": 33564, "stri": 33565, "\u00e7\u013d": 33566, "ynt": 33567, "\u0120mandates": 33568, "DIV": 33569, "\u0120reconcile": 33570, "views": 33571, "\u0120Damon": 33572, "vette": 33573, "Flo": 33574, "\u0120Greatest": 33575, "ilon": 33576, "icia": 33577, "\u0120portrayal": 33578, "\u0120cushion": 33579, "504": 33580, "1979": 33581, "ossal": 33582, "Applic": 33583, "scription": 33584, "\u0120mitigation": 33585, "ATS": 33586, "pac": 33587, "\u0120erased": 33588, "\u0120deficiencies": 33589, "\u0120Hollande": 33590, "\u0120Xu": 33591, "\u0120bred": 33592, "\u0120pregnancies": 33593, "femin": 33594, "\u0120emph": 33595, "\u0120planners": 33596, "\u0120outper": 33597, "uttering": 33598, "\u0120perpetrator": 33599, "\u0120motto": 33600, "\u0120Ellison": 33601, "\u0120NEVER": 33602, "\u0120admittedly": 33603, "ARI": 33604, "\u0120Azerbaijan": 33605, "\u0120millisec": 33606, "\u0120combustion": 33607, "\u0120Bottle": 33608, "\u0120Lund": 33609, "\u0120Ps": 33610, "\u0120Dress": 33611, "\u0120fabricated": 33612, "\u0120battered": 33613, "\u0120sidel": 33614, "\u0120Notting": 33615, "Foreign": 33616, "\u0120Jerome": 33617, "020": 33618, "\u0120Arbit": 33619, "\u0120knots": 33620, "\u0120RIGHT": 33621, "Moving": 33622, "\u00e3\u0123\u013b": 33623, "\u0120surgeries": 33624, "\u0120courthouse": 33625, "\u0120mastered": 33626, "\u0120hovering": 33627, "\u0120Bran": 33628, "\u0120Alison": 33629, "\u0120safest": 33630, "military": 33631, "\u0120bullied": 33632, "\u0120barrage": 33633, "Reader": 33634, "ESE": 33635, "\u0120Geographic": 33636, "Tools": 33637, "314": 33638, "\u0120Geek": 33639, "roth": 33640, "glers": 33641, "\u0120FIN": 33642, "\u00cf\u0123": 33643, "\u0120Aston": 33644, "altern": 33645, "488": 33646, "\u0120veterin": 33647, "Gamer": 33648, "\u0120intel": 33649, "renches": 33650, "Shield": 33651, "\u0120amnesty": 33652, "\u0120Bhar": 33653, "\u0120piled": 33654, "\u0120honorable": 33655, "\u0120Institutes": 33656, "\u0120soaked": 33657, "\u0120coma": 33658, "\u0120EFF": 33659, "341": 33660, "bytes": 33661, "\u0120Gmail": 33662, "lein": 33663, "\u0120Canadiens": 33664, "material": 33665, "Il": 33666, "\u0120instructors": 33667, "\u0120KY": 33668, "\u0120conceive": 33669, "ubb": 33670, "\u0120Possible": 33671, "\u0120easing": 33672, "\u0120Christina": 33673, "\u0120caric": 33674, "\u0120HDR": 33675, "ROM": 33676, "\u0120shovel": 33677, "delete": 33678, "\u0120puff": 33679, "\u0120Changing": 33680, "\u0120seamlessly": 33681, "Attribute": 33682, "\u0120acquisitions": 33683, "akery": 33684, "\u0120EF": 33685, "\u0120autistic": 33686, "\u0120Takes": 33687, "\u0120Powder": 33688, "\u0120Stir": 33689, "510": 33690, "\u0120Bubble": 33691, "settings": 33692, "\u0120Fowler": 33693, "\u0120mustard": 33694, "\u0120moreover": 33695, "\u0120copyrighted": 33696, "\u0120LEDs": 33697, "1500": 33698, "\u00e6\u012b": 33699, "\u0120HIS": 33700, "enf": 33701, "\u0120custod": 33702, "\u0120Huck": 33703, "Gi": 33704, "\u0120img": 33705, "Answer": 33706, "Ct": 33707, "jay": 33708, "\u0120Infrastructure": 33709, "\u0120federally": 33710, "Loc": 33711, "\u0120microbes": 33712, "\u0120overrun": 33713, "dds": 33714, "otent": 33715, "adiator": 33716, ">>>>>>>>": 33717, "\u0120tornado": 33718, "\u0120adjud": 33719, "\u0120intrigued": 33720, "\u0120si": 33721, "\u0120Revelation": 33722, "progress": 33723, "\u0120burglary": 33724, "\u0120Saiyan": 33725, "\u0120Kathy": 33726, "\u0120serpent": 33727, "\u0120Andreas": 33728, "\u0120compel": 33729, "essler": 33730, "\u0120Plastic": 33731, "\u0120Advent": 33732, "\u0120Positive": 33733, "\u0120Qt": 33734, "\u0120Hindus": 33735, "registered": 33736, "ularity": 33737, "\u0120righteousness": 33738, "\u0120demonic": 33739, "uitive": 33740, "\u0120BDS": 33741, "\u0120Gregg": 33742, "cia": 33743, "\u0120Crusade": 33744, "\u0120Sinai": 33745, "WARE": 33746, "+(": 33747, "\u0120mell": 33748, "\u0120derail": 33749, "yards": 33750, "Ast": 33751, "\u0120noticeably": 33752, "\u0120Ober": 33753, "Ram": 33754, "\u0120unnoticed": 33755, "\u0120seq": 33756, "avage": 33757, "Ts": 33758, "\u0120640": 33759, "\u0120concede": 33760, "\u0120])": 33761, "Fill": 33762, "\u0120captivity": 33763, "\u0120Improvement": 33764, "\u0120Crusader": 33765, "araoh": 33766, "MAP": 33767, "\u00e6\u0139": 33768, "\u0120stride": 33769, "always": 33770, "Fly": 33771, "Nit": 33772, "\u0120algae": 33773, "\u0120Cooking": 33774, "\u0120Doors": 33775, "Malley": 33776, "\u0120policemen": 33777, "\u00e3\u0123\u012f": 33778, "\u0120astronaut": 33779, "accessible": 33780, "495": 33781, "\u0120RAW": 33782, "cliffe": 33783, "udicrous": 33784, "\u0120depended": 33785, "alach": 33786, "\u0120ventures": 33787, "rake": 33788, "\u0120tits": 33789, "\u0120Hou": 33790, "\u0120condom": 33791, "ormonal": 33792, "\u0120indent": 33793, "\u0120uploading": 33794, "Footnote": 33795, "Important": 33796, "\u0120271": 33797, "\u0120mindful": 33798, "\u0120contends": 33799, "Cra": 33800, "\u0120calibr": 33801, "\u0120OECD": 33802, "plugin": 33803, "Fat": 33804, "\u0120ISS": 33805, "\u0120Dynamics": 33806, "ansen": 33807, "686": 33808, "'),": 33809, "\u0120sprite": 33810, "\u0120handheld": 33811, "\u0120Hipp": 33812, "=~=~": 33813, "Trust": 33814, "\u0120semantics": 33815, "\u0120Bundes": 33816, "\u0120Reno": 33817, "\u0120Literature": 33818, "sense": 33819, "Gary": 33820, "\u0120Aeg": 33821, "\u0120Trin": 33822, "EEK": 33823, "\u0120cleric": 33824, "\u0120SSH": 33825, "\u0120christ": 33826, "\u0120invading": 33827, "ibu": 33828, "\u0120enum": 33829, "aura": 33830, "\u0120allege": 33831, "\u0120Incredible": 33832, "BBC": 33833, "\u0120thru": 33834, "\u0120sailed": 33835, "\u0120emulate": 33836, "\u0120insecurity": 33837, "\u0120crou": 33838, "\u0120accommodations": 33839, "\u0120incompetent": 33840, "\u0120slips": 33841, "\u0120Earthqu": 33842, "sama": 33843, "ILLE": 33844, "\u0120iPhones": 33845, "asaki": 33846, "\u0120bye": 33847, "\u0120ard": 33848, "\u0120extras": 33849, "\u0120slaughtered": 33850, "\u0120crowdfunding": 33851, "resso": 33852, "\u0120filib": 33853, "\u0120ERROR": 33854, "\u0120TLS": 33855, "egg": 33856, "\u0120Ital": 33857, "\u0120enlist": 33858, "\u0120Catalonia": 33859, "\u0120Scots": 33860, "\u0120sergeant": 33861, "\u0120dissolve": 33862, "NH": 33863, "\u0120standings": 33864, "rique": 33865, "IQ": 33866, "\u0120beneficiary": 33867, "\u0120aquarium": 33868, "YouTube": 33869, "\u0120PowerShell": 33870, "\u0120brightest": 33871, "\u0120Warrant": 33872, "Sold": 33873, "Writing": 33874, "\u0120beginnings": 33875, "\u0120Reserved": 33876, "\u0120Latinos": 33877, "heading": 33878, "\u0120440": 33879, "\u0120rooftop": 33880, "ATING": 33881, "\u0120390": 33882, "VPN": 33883, "Gs": 33884, "kernel": 33885, "turned": 33886, "\u0120preferable": 33887, "\u0120turnovers": 33888, "\u0120Hels": 33889, "Sa": 33890, "\u0120Shinji": 33891, "veh": 33892, "\u0120MODULE": 33893, "Viol": 33894, "\u0120exiting": 33895, "\u0120jab": 33896, "\u0120Vanilla": 33897, "\u0120acron": 33898, "\u0120Gap": 33899, "bern": 33900, "Ak": 33901, "\u0120McGu": 33902, "\u0120endlessly": 33903, "\u0120Farage": 33904, "\u0120Noel": 33905, "Va": 33906, "MK": 33907, "\u0120brute": 33908, "\u0120Kru": 33909, "\u0120ESV": 33910, "\u0120Olivia": 33911, "\u00e2\u0122\u0142": 33912, "\u0120Kaf": 33913, "\u0120trusting": 33914, "\u0120hots": 33915, "324": 33916, "\u0120malaria": 33917, "\u0120json": 33918, "\u0120pounding": 33919, "ortment": 33920, "Country": 33921, "\u0120postponed": 33922, "\u0120unequiv": 33923, "?),": 33924, "\u0120Rooney": 33925, "udding": 33926, "\u0120Leap": 33927, "urrence": 33928, "shapeshifter": 33929, "\u0120HAS": 33930, "osate": 33931, "\u0120cavern": 33932, "\u0120conservatism": 33933, "\u0120BAD": 33934, "\u0120mileage": 33935, "\u0120arresting": 33936, "Vaults": 33937, "\u0120mixer": 33938, "Democratic": 33939, "\u0120Benson": 33940, "\u0120authored": 33941, "8000": 33942, "\u0120proactive": 33943, "\u0120Spiritual": 33944, "tre": 33945, "\u0120incarcerated": 33946, "\u0120Sort": 33947, "\u0120peaked": 33948, "\u0120wielding": 33949, "reciation": 33950, "\u00d7\u013b\u00d7": 33951, "Patch": 33952, "\u0120Emmy": 33953, "\u0120exqu": 33954, "tto": 33955, "\u0120Ratio": 33956, "\u0120Picks": 33957, "\u0120Gry": 33958, "phant": 33959, "\u0120fret": 33960, "\u0120ethn": 33961, "\u0120archived": 33962, "%-": 33963, "cases": 33964, "\u0120Blaze": 33965, "\u0120imb": 33966, "cv": 33967, "yss": 33968, "imony": 33969, "\u0120countdown": 33970, "\u0120awakening": 33971, "\u0120Tunisia": 33972, "\u0120Refer": 33973, "\u0120MJ": 33974, "\u0120unnatural": 33975, "\u0120Carnegie": 33976, "izen": 33977, "\u0120Nuggets": 33978, "hess": 33979, "\u0120evils": 33980, "647": 33981, "\u0120introductory": 33982, "loving": 33983, "\u0120McMahon": 33984, "\u0120ambiguity": 33985, "Label": 33986, "\u0120Almighty": 33987, "\u0120coloring": 33988, "\u0120Claus": 33989, "setting": 33990, "NULL": 33991, "\u0120Favorite": 33992, "\u0120SIG": 33993, ">(": 33994, "\u0120Shiva": 33995, "\u0120Mayer": 33996, "\u0120stormed": 33997, "\u0120Coverage": 33998, "weapons": 33999, "igham": 34000, "\u0120unanswered": 34001, "\u0120leve": 34002, "\u0120coy": 34003, "cas": 34004, "bags": 34005, "asured": 34006, "Seattle": 34007, "\u0120Santorum": 34008, "serious": 34009, "\u0120courageous": 34010, "\u0120Soup": 34011, "\u0120confiscated": 34012, "\u0120///": 34013, "\u0120unconventional": 34014, "\u0120moms": 34015, "\u0120Rohingya": 34016, "\u0120Orchestra": 34017, "\u0120Potion": 34018, "\u0120discredit": 34019, "\u0120FIL": 34020, "fixed": 34021, "\u0120Deer": 34022, "doi": 34023, "\u0120Dimension": 34024, "\u0120bureaucrats": 34025, "eteen": 34026, "\u0120actionGroup": 34027, "ohm": 34028, "\u0120bumps": 34029, "\u0120Utility": 34030, "\u0120submarines": 34031, "renheit": 34032, "research": 34033, "\u0120Shapiro": 34034, "\u0120sketches": 34035, "\u0120deceptive": 34036, "\u0120Vil": 34037, "esame": 34038, "\u0120Essentially": 34039, "\u0120rampage": 34040, "isky": 34041, "\u0120muttered": 34042, "thritis": 34043, "\u0120236": 34044, "fet": 34045, "bars": 34046, "\u0120pupil": 34047, "\u0120Thou": 34048, "oS": 34049, "song": 34050, "\u0120fractured": 34051, "\u0120revert": 34052, "picture": 34053, "\u0120criterion": 34054, "usher": 34055, "\u0120repercussions": 34056, "\u0120Vintage": 34057, "\u0120Superintendent": 34058, "Officers": 34059, "\u0120flagged": 34060, "\u0120blames": 34061, "\u0120inverse": 34062, "ographers": 34063, "\u0120makeshift": 34064, "\u0120devoid": 34065, "\u0120fossils": 34066, "\u0120Aristotle": 34067, "\u0120Funds": 34068, "\u0120depleted": 34069, "\u0120Flu": 34070, "\u0120Yuan": 34071, "\u0120woes": 34072, "\u0120lipid": 34073, "\u0120situ": 34074, "requisites": 34075, "\u0120furnish": 34076, "\u0120Samar": 34077, "\u0120shameful": 34078, "\u0120adversely": 34079, "\u0120adept": 34080, "\u0120remorse": 34081, "\u0120murderous": 34082, "uckles": 34083, "\u0120ESL": 34084, "\u0120314": 34085, "sent": 34086, "\u0120redef": 34087, "\u0120Cache": 34088, "\u0120Purs": 34089, "igans": 34090, "\u0120460": 34091, "\u0120prescriptions": 34092, "\u0120fres": 34093, "Fuck": 34094, "ocrates": 34095, "Twenty": 34096, "\u0120Weird": 34097, "\u0120Toggle": 34098, "\u0120Called": 34099, "itizens": 34100, "\u0120poultry": 34101, "\u0120harvesting": 34102, "\u00e3\u0124\u00a6\u00e3\u0124\u00b9": 34103, "Bottom": 34104, "\u0120cautioned": 34105, "tn": 34106, "396": 34107, "\u0120Nikki": 34108, "\u0120evaluations": 34109, "\u0120harassing": 34110, "\u0120bindings": 34111, "\u0120Monetary": 34112, "\u0120hitters": 34113, "\u0120adversary": 34114, "unts": 34115, "\u0120setback": 34116, "\u0120encrypt": 34117, "\u0120Cait": 34118, "\u0120lows": 34119, "enges": 34120, "\u0120Norn": 34121, "\u0120bulbs": 34122, "\u0120bottled": 34123, "\u0120Voyager": 34124, "317": 34125, "\u0120spheres": 34126, "politics": 34127, "\u0120subtract": 34128, "\u0120sensations": 34129, "\u0120appalling": 34130, "\u0120316": 34131, "\u0120environmentally": 34132, "\u0120STEM": 34133, "\u0120publishes": 34134, "560": 34135, "\u0120diligence": 34136, "484": 34137, "\u0120advises": 34138, "\u0120petrol": 34139, "\u0120imagining": 34140, "\u0120patrols": 34141, "\u0120Integer": 34142, "\u0120Ashes": 34143, "actus": 34144, "\u0120Radiant": 34145, "\u0120LT": 34146, "itability": 34147, "htaking": 34148, "Setting": 34149, "\u0120nuanced": 34150, "\u0120Reef": 34151, "\u0120Developers": 34152, "Ni": 34153, "pieces": 34154, "990": 34155, "License": 34156, "\u0120lowers": 34157, "\u0120Ottoman": 34158, "327": 34159, "ooo": 34160, "\u0120quitting": 34161, "markets": 34162, "Behind": 34163, "\u0120basin": 34164, "\u0120docs": 34165, "anie": 34166, "flash": 34167, "ctl": 34168, "\u0120civilized": 34169, "\u0120Fukushima": 34170, "\"],\"": 34171, "\u0120KS": 34172, "\u0120Honestly": 34173, "arat": 34174, "\u0120constructs": 34175, "\u0120Lans": 34176, "\u0120Dire": 34177, "\u0120LIKE": 34178, "\u0120Trouble": 34179, "\u0120withholding": 34180, "\u0120Oblivion": 34181, "\u0120sanity": 34182, "anya": 34183, "Const": 34184, "\u0120grocer": 34185, "\u0120Celsius": 34186, "\u0120recounted": 34187, "\u0120Wife": 34188, "Border": 34189, "atered": 34190, "happy": 34191, "\u0120spoiler": 34192, "\u0120logically": 34193, "Hall": 34194, "\u0120succeeding": 34195, "\u0120polymorph": 34196, "\u0120axes": 34197, "\u0120Shotgun": 34198, "\u0120Slim": 34199, "\u0120Principles": 34200, "\u0120Leth": 34201, "arta": 34202, "\u0120scor": 34203, "Screenshot": 34204, "\u0120relaxation": 34205, "#$#$": 34206, "\u0120deterrent": 34207, "iddy": 34208, "\u0120powerless": 34209, "\u0120lesbians": 34210, "\u0120chords": 34211, "\u0120Edited": 34212, "selected": 34213, "\u0120separatists": 34214, "0002": 34215, "\u0120airspace": 34216, "\u0120turnaround": 34217, "\u0120cunning": 34218, "PATH": 34219, "Poly": 34220, "\u0120bombed": 34221, "\u0120tion": 34222, "xs": 34223, "\u0120withhold": 34224, "\u0120waged": 34225, "\u0120Liberties": 34226, "Flag": 34227, "\u0120comforting": 34228, "454": 34229, "\u0120Iris": 34230, "arers": 34231, "\u0120rag": 34232, "\u0120relocated": 34233, "\u0120Guarant": 34234, "\u0120strategically": 34235, "\u0120gamma": 34236, "uberty": 34237, "\u0120Lockheed": 34238, "gres": 34239, "\u0120grilled": 34240, "\u0120Lowe": 34241, "stats": 34242, "\u0120Rocks": 34243, "\u0120sensing": 34244, "\u0120renting": 34245, "\u0120Geological": 34246, "\u00d8\u00a7\u00d8": 34247, "otrop": 34248, "\u0120sew": 34249, "\u0120improperly": 34250, "486": 34251, "\u0120\u00e2\u0138\u0142": 34252, "\u0120starving": 34253, "\u0120Bj": 34254, "Discussion": 34255, "328": 34256, "\u0120Combo": 34257, "\u0120Fixes": 34258, "NAT": 34259, "\u0120striving": 34260, "thora": 34261, "\u0120harvested": 34262, "\u0120Ping": 34263, "\u0120playful": 34264, "\u0120avenues": 34265, "\u0120occupational": 34266, "\u0120wakes": 34267, "\u0120Courier": 34268, "\u0120drummer": 34269, "\u0120Browser": 34270, "\u0120Houth": 34271, "itu": 34272, "\u0120apparel": 34273, "paste": 34274, "\u0120hunted": 34275, "\u0120Secondly": 34276, "lain": 34277, "XY": 34278, "\u0120PIN": 34279, "icons": 34280, "\u0120cocktails": 34281, "\u0120sizable": 34282, "\u0120hurdles": 34283, "estinal": 34284, "\u0120Recreation": 34285, "\u0120eco": 34286, "648": 34287, "\u0120Died": 34288, "mint": 34289, "\u0120fingerprints": 34290, "\u0120dispose": 34291, "\u0120Bosnia": 34292, "tsy": 34293, "2200": 34294, "\u0120inspected": 34295, "\u0120Fou": 34296, "\u0120fuss": 34297, "\u0120ambush": 34298, "\u0120Rak": 34299, "\u0120manifested": 34300, "Prosecut": 34301, "\u0120suffice": 34302, "rences": 34303, "\u0120compensated": 34304, "\u0120Cyrus": 34305, "\u0120genus": 34306, "\u0120Wolverine": 34307, "\u0120Trends": 34308, "\u0120hikes": 34309, "\u0120Seen": 34310, "\u0120enrol": 34311, "Cold": 34312, "\u0120politely": 34313, "\u0120Slav": 34314, "\u0120Rupert": 34315, "\u0120eyewitness": 34316, "\u0120Alto": 34317, "\u0120uncomp": 34318, "\u0120posterior": 34319, "Must": 34320, "\u0120Herz": 34321, "\u0120progressively": 34322, "\u0120234": 34323, "\u0120indifference": 34324, "\u0120Cunningham": 34325, "\u0120academia": 34326, "\u0120sewer": 34327, "\u0120astounding": 34328, "\u0120AES": 34329, "rather": 34330, "\u0120eldest": 34331, "\u0120climbs": 34332, "\u0120Adds": 34333, "\u0120outcry": 34334, "\u0120contag": 34335, "\u0120Houses": 34336, "\u0120pept": 34337, "\u0120Melania": 34338, "interested": 34339, "\u0120UCH": 34340, "\u0120Roots": 34341, "\u0120Hubbard": 34342, "\u0120TBD": 34343, "\u0120Romanian": 34344, "filename": 34345, "Stone": 34346, "\u0120Impl": 34347, "\u0120chromosome": 34348, "Cle": 34349, "dx": 34350, "\u0120scrambled": 34351, "\u0120Pt": 34352, "\u0120242": 34353, "OPLE": 34354, "\u0120tremendously": 34355, "Street": 34356, "\u0120craving": 34357, "\u0120bundled": 34358, "\u0120RG": 34359, "pipe": 34360, "\u0120injuring": 34361, "\u0120arcane": 34362, "Particip": 34363, "\u0120Heroic": 34364, "sty": 34365, "\u0120topping": 34366, "\u0120Tempest": 34367, "rentices": 34368, "bh": 34369, "\u0120paranoia": 34370, "\u0120Unicode": 34371, "\u0120egregious": 34372, "\u0120\\'": 34373, "\u0120Oswald": 34374, "\u0120gravel": 34375, "\u0120Simpsons": 34376, "\u0120bland": 34377, "\u0120Guantanamo": 34378, "Writer": 34379, "liners": 34380, "\u0120Dice": 34381, "JC": 34382, "\u0120parity": 34383, "\u0120sided": 34384, "\u0120237": 34385, "\u0120Pyrrha": 34386, "atters": 34387, "dk": 34388, "Fine": 34389, "compan": 34390, "\u0120formulated": 34391, "\u0120Idol": 34392, "ilers": 34393, "hemoth": 34394, "\u0120Fav": 34395, "\u0120intrusion": 34396, "\u0120carrots": 34397, "\u0120Layer": 34398, "\u0120Hacker": 34399, "\u0120----------------": 34400, "\u0120moderation": 34401, "\u00e9\u0123": 34402, "ococ": 34403, "\u0120characterize": 34404, "\u0120Teresa": 34405, "\u0120socioeconomic": 34406, "\u0120perk": 34407, "\u0120Participation": 34408, "training": 34409, "\u0120Paulo": 34410, "phys": 34411, "\u0120trustworthy": 34412, "\u0120embodied": 34413, "\u0120Merch": 34414, "currency": 34415, "\u0120Priority": 34416, "\u0120teasing": 34417, "\u0120absorbing": 34418, "\u0120unfinished": 34419, "\u0120Comparison": 34420, "\u0120disple": 34421, "writers": 34422, "\u0120professions": 34423, "\u0120Penguin": 34424, "\u0120angrily": 34425, "\u0120LINK": 34426, "688": 34427, "\u0120Correspond": 34428, "\u0120prevailed": 34429, "\u0120cartel": 34430, "lp": 34431, "asms": 34432, "\u0120Redemption": 34433, "\u0120Islamists": 34434, "effects": 34435, "dose": 34436, "\u0120Latter": 34437, "\u0120Halifax": 34438, "\u0120vas": 34439, "\u0120Topics": 34440, "\u0120Named": 34441, "advertising": 34442, "zza": 34443, "ICES": 34444, "\u0120retarded": 34445, "achable": 34446, "\u0120Puppet": 34447, "\u0120ItemLevel": 34448, "\u0120retract": 34449, "\u0120identifiable": 34450, "Aaron": 34451, "\u0120Buster": 34452, "sol": 34453, "helle": 34454, "assemb": 34455, "Hope": 34456, "ranged": 34457, "Ba": 34458, "\u0120Purch": 34459, "\u00e9\u0122": 34460, "\u0120Siri": 34461, "\u0120arrivals": 34462, "\u01201912": 34463, "\u0120shortened": 34464, "\u0120312": 34465, "\u0120discrepancy": 34466, "\u0120Temperature": 34467, "\u0120Walton": 34468, "\u0120kinderg": 34469, "polit": 34470, "\u0120remix": 34471, "\u0120connectors": 34472, "\u00e3\u0125\u013a\u00e3\u0125\u00a9": 34473, "\u0120Kazakhstan": 34474, "dominated": 34475, "\u0120sugars": 34476, "imble": 34477, "\u0120Panic": 34478, "\u0120Demand": 34479, "\u0120Colony": 34480, "onen": 34481, "\u0120MER": 34482, "775": 34483, "uria": 34484, "azaar": 34485, "\u0120Degree": 34486, "Pri": 34487, "\u0120sunshine": 34488, "\u0120251": 34489, "\u0120psychedelic": 34490, "\u0120digitally": 34491, "\u0120Braun": 34492, "\u0120shimmer": 34493, "\u0120shave": 34494, "\u0120Telesc": 34495, "\u0120Astral": 34496, "\u0120Venezuelan": 34497, "\u0120OG": 34498, "\u0120crawling": 34499, "Integ": 34500, "\u0120Feather": 34501, "\u0120unfolding": 34502, "\u0120appropriation": 34503, "\u0120\u00e8\u00a3\u0131\u00e8": 34504, "\u0120Mobility": 34505, "\u0120Ney": 34506, "-.": 34507, "bilt": 34508, "LIN": 34509, "\u0120Tube": 34510, "\u0120Conversely": 34511, "\u0120keyboards": 34512, "\u0120Cao": 34513, "\u0120overth": 34514, "\u0120laure": 34515, ">>\\": 34516, "\u0120Viper": 34517, "acha": 34518, "Offset": 34519, "\u0120Raleigh": 34520, "\u0120Jae": 34521, "Jordan": 34522, "jp": 34523, "\u0120totalitarian": 34524, "Connector": 34525, "\u0120observes": 34526, "\u0120Spartan": 34527, "\u0120Immediately": 34528, "\u0120Scal": 34529, "Cool": 34530, "\u0120taps": 34531, "\u0120roar": 34532, "Past": 34533, "\u0120chars": 34534, "\u0120Bender": 34535, "\u0120Sheldon": 34536, "\u0120painter": 34537, "\u0120beacon": 34538, "\u0120Creatures": 34539, "\u0120downturn": 34540, "\u0120hinder": 34541, "\u0120Andromeda": 34542, "\u00c3\u013d": 34543, "ccoli": 34544, "\u0120Fitness": 34545, "etrical": 34546, "\u0120utilizes": 34547, "\u0120senate": 34548, "\u0120ensemble": 34549, "\u0120cheers": 34550, "TW": 34551, "\u0120affluent": 34552, "kil": 34553, "rylic": 34554, "ordering": 34555, "Computer": 34556, "\u0120gruesome": 34557, "ostics": 34558, "\u0120Ubisoft": 34559, "\u0120Kelley": 34560, "\u0120wrench": 34561, "\u0120bourgeoisie": 34562, "IBLE": 34563, "\u0120Preston": 34564, "worn": 34565, "arist": 34566, "reating": 34567, "\u0120stained": 34568, "arine": 34569, "\u0120slime": 34570, "ENN": 34571, "\u0120chests": 34572, "\u0120groundwater": 34573, "annot": 34574, "\u0120Tray": 34575, "\u0120Locke": 34576, "\u0120CTR": 34577, "\u0120dudes": 34578, "\u0120External": 34579, "\u0120Decoder": 34580, "\u0120paramed": 34581, "\u0120Medline": 34582, "809": 34583, "\u0120Dinner": 34584, "rupal": 34585, "gz": 34586, "\u0120Gum": 34587, "\u0120Demo": 34588, "jee": 34589, "\u0120dh": 34590, "berman": 34591, "archs": 34592, "\u0120enqu": 34593, "\u0120Epstein": 34594, "\u0120devastation": 34595, "\u0120friendships": 34596, "\u0120Ard": 34597, "\u0120231": 34598, "\u0120Rubin": 34599, "\u0120Distance": 34600, "\u0120spurred": 34601, "\u0120dossier": 34602, "\u0120overlooking": 34603, "\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": 34604, "Forest": 34605, "\u0120Comes": 34606, "\\\",": 34607, "\u0120Iranians": 34608, "\u0120fixtures": 34609, "Laughs": 34610, "\u0120curry": 34611, "\u0120Kingston": 34612, "\u0120squash": 34613, "\u0120catalogue": 34614, "\u0120abnormalities": 34615, "\u0120digestive": 34616, ".........": 34617, "\u0120subordinate": 34618, "ogly": 34619, "\u0120249": 34620, "Middle": 34621, "\u0120massac": 34622, "\u0120burgers": 34623, "\u0120downstairs": 34624, "\u01201931": 34625, "394": 34626, "\u0120VG": 34627, "\u0120lasers": 34628, "\u0120Sikh": 34629, "\u0120Alexa": 34630, "derived": 34631, "\u0120cyclist": 34632, "\u00e3\u0123\u00ae\u00e9\u0143\u0136": 34633, "oneliness": 34634, "!!!!!!!!": 34635, "\u0120buffs": 34636, "legate": 34637, "\u0120raping": 34638, "\u0120recommending": 34639, "rored": 34640, "\u0120multicultural": 34641, "unique": 34642, "\u0120businessmen": 34643, "\u0120uneasy": 34644, "\u0120MAP": 34645, "\u0120dispersed": 34646, "cipline": 34647, "Jess": 34648, "\u0120Kerala": 34649, "\u00e5\u00a7": 34650, "\u0120abstraction": 34651, "Surv": 34652, "Uh": 34653, "\u0120printers": 34654, "ija": 34655, "owder": 34656, "\u0120analogous": 34657, "\u0120ASP": 34658, "afer": 34659, "\u0120unfolded": 34660, "\u0120leveling": 34661, "\u0120breached": 34662, "\u0120Hearing": 34663, "\u0120nat": 34664, "\u0120translating": 34665, "critical": 34666, "\u0120antagonist": 34667, "\u0120Yesterday": 34668, "\u0120fuzzy": 34669, "wash": 34670, "mere": 34671, "\u0120bewild": 34672, "\u0120Mae": 34673, "Virgin": 34674, "phrase": 34675, "\u0120signaled": 34676, "\u0120HIGH": 34677, "\u0120protester": 34678, "\u0120garner": 34679, "unknown": 34680, "\u0120kay": 34681, "\u0120abducted": 34682, "\u0120stalking": 34683, "amn": 34684, "\u0120deserving": 34685, "\u0120Riv": 34686, "\u0120Jorge": 34687, "\u0120scratching": 34688, "\u0120Saving": 34689, "iping": 34690, "\u0120tease": 34691, "\u0120missionary": 34692, "\u0120Morrow": 34693, "TIME": 34694, "Present": 34695, "\u0120chemotherapy": 34696, "terness": 34697, "\u0120Homes": 34698, "\u0120Purdue": 34699, "\u0120staunch": 34700, "\u0120Whitney": 34701, "\u0120THERE": 34702, "\u00ce\u00bc": 34703, "iatus": 34704, "\u0120Ernest": 34705, "\u0120Deploy": 34706, "\u0120coveted": 34707, "FML": 34708, "\u0120Dialogue": 34709, "\u0120exited": 34710, "fruit": 34711, "\u0120nerd": 34712, "\":\"\",\"": 34713, "\u0120vivo": 34714, "ruly": 34715, "460": 34716, "\u0120Amen": 34717, "rehensible": 34718, "\u0120\u00e2\u013a": 34719, "DIR": 34720, "\u0120adherence": 34721, "\u0120chew": 34722, "\u0120Coke": 34723, "\u0120Sergei": 34724, "digital": 34725, "\u0120Neck": 34726, "gently": 34727, "enthal": 34728, "/)": 34729, "\u0120weary": 34730, "\u0120guise": 34731, "\u0120Concord": 34732, "\u0120Onion": 34733, "atcher": 34734, "\u0120binge": 34735, "\u0120Directive": 34736, "\u0120manned": 34737, "ansk": 34738, "\u0120illusions": 34739, "\u0120billionaires": 34740, "383": 34741, "olyn": 34742, "odynamic": 34743, "\u0120Wheat": 34744, "\u0120Alic": 34745, "\u0120coloured": 34746, "\u0120NAFTA": 34747, "abo": 34748, "\u0120macros": 34749, "independent": 34750, "sweet": 34751, "\u0120spac": 34752, "\u0120Kabul": 34753, "\u0120\u00c4": 34754, "eme": 34755, "\u0120dictated": 34756, "\u0120shouts": 34757, "={": 34758, "\u0120ripping": 34759, "\u0120Shay": 34760, "\u0120Cricket": 34761, "directed": 34762, "\u0120analysed": 34763, "\u0120WARRANT": 34764, "agons": 34765, "\u0120Blazers": 34766, "\u0120cheered": 34767, "\u0120arithmetic": 34768, "\u0120Tanz": 34769, "373": 34770, "\u0120Flags": 34771, "\u0120295": 34772, "\u0120witches": 34773, "\u0120Included": 34774, "\u0120Gained": 34775, "\u0120Blades": 34776, "Gam": 34777, "\u0120Samantha": 34778, "\u0120Atlantis": 34779, "\u0120Pratt": 34780, "\u0120spoiled": 34781, "\u0120IB": 34782, "\u0120Ramirez": 34783, "Probably": 34784, "rero": 34785, "\u0120Ng": 34786, "\u0120Warlock": 34787, "tp": 34788, "\u0120overhe": 34789, "\u0120administrations": 34790, "\u0120tint": 34791, "\u0120regiment": 34792, "\u0120pistols": 34793, "\u0120blankets": 34794, "\u0120epist": 34795, "\u0120bowls": 34796, "\u0120hydraulic": 34797, "\u0120dean": 34798, "\u0120jung": 34799, "\u0120ascend": 34800, "705": 34801, "\u0120Santiago": 34802, "\u00c3\u00ae": 34803, "\u0120unavoid": 34804, "\u0120Shaman": 34805, "reb": 34806, "\u0120stemming": 34807, "998": 34808, "\u0120MG": 34809, "sticks": 34810, "esthesia": 34811, "ERO": 34812, "\u0120morbid": 34813, "\u0120Grill": 34814, "\u0120Poe": 34815, "anyl": 34816, "\u0120deleting": 34817, "\u0120Surveillance": 34818, "\u0120directives": 34819, "\u0120iterations": 34820, "\u0120Rox": 34821, "\u0120Milky": 34822, "Father": 34823, "\u0120patented": 34824, "447": 34825, "\u0120precursor": 34826, "\u0120maiden": 34827, "\u0120Phen": 34828, "\u0120Vegan": 34829, "\u0120Patent": 34830, "Kelly": 34831, "Redditor": 34832, "\u0120nods": 34833, "\u0120ventilation": 34834, "\u0120Schwarz": 34835, "\u0120wizards": 34836, "\u0120ominous": 34837, "\u0120Heads": 34838, "\u0120BG": 34839, "\u0120lumber": 34840, "\u0120Spiel": 34841, "\u0120isEnabled": 34842, "\u0120ancestral": 34843, "\u0120Ships": 34844, "\u0120wrestler": 34845, "phi": 34846, "\u0120yuan": 34847, "\u0120Rebellion": 34848, "\u0120iceberg": 34849, "\u0120magically": 34850, "\u0120diversion": 34851, "arro": 34852, "ythm": 34853, "\u0120Riders": 34854, "\u0120Robbie": 34855, "\u0120Kara": 34856, "\u0120Maintenance": 34857, "\u0120Herb": 34858, "\u0120harms": 34859, "packed": 34860, "\u0120Feinstein": 34861, "\u0120marrying": 34862, "\u0120blending": 34863, "\u0120Rates": 34864, "\u01201880": 34865, "\u0120wrink": 34866, "\u0120Unch": 34867, "\u0120Torch": 34868, "described": 34869, "\u0120humanoid": 34870, "ilitating": 34871, "\u0120Conv": 34872, "\u0120Feld": 34873, "IGHTS": 34874, "\u0120whistleblower": 34875, "ortmund": 34876, "etsy": 34877, "arrett": 34878, "\u0120Mono": 34879, "\u0120Ike": 34880, "\u0120CNBC": 34881, "\u0120WAY": 34882, "\u0120MDMA": 34883, "\u0120Individuals": 34884, "\u0120supplemental": 34885, "\u0120powerhouse": 34886, "\u0120Stru": 34887, "Focus": 34888, "aphael": 34889, "\u0120Colleg": 34890, "atti": 34891, "ZA": 34892, "\u0120perenn": 34893, "\u0120Signature": 34894, "\u0120Rodney": 34895, "\u0120cubes": 34896, "iddled": 34897, "\u0120Dante": 34898, "\u0120INV": 34899, "ilingual": 34900, "\u0120Cth": 34901, "\u0120sofa": 34902, "\u0120intimidate": 34903, "\u0120Roe": 34904, "\u0120Diplom": 34905, "\u0120Countries": 34906, "ayson": 34907, "\u0120extradition": 34908, "\u0120disabling": 34909, "\u0120Cardiff": 34910, "\u0120memorandum": 34911, "\u0120Trace": 34912, "\u0120???": 34913, "sector": 34914, "\u0120Rouhani": 34915, "\u0120Yates": 34916, "\u0120Freeze": 34917, "\u0120bladder": 34918, "Motor": 34919, "\u0120Promise": 34920, "antasy": 34921, "\u0120foreseeable": 34922, "\u0120Cologne": 34923, "container": 34924, "\u0120Trees": 34925, "\u0120Gors": 34926, "\u0120Sinclair": 34927, "\u0120barring": 34928, "keye": 34929, "\u0120slashed": 34930, "\u0120Statistical": 34931, "\u00e9\u0129": 34932, "\u0120\u00e2\u0138\u00ba": 34933, "Allows": 34934, "\u0120humility": 34935, "\u0120drilled": 34936, "\u0120Furn": 34937, "443": 34938, "\u0120sewage": 34939, "\u0120homepage": 34940, "\u0120courtyard": 34941, "\u0120vile": 34942, "\u0120subsidiaries": 34943, "ajo": 34944, "directory": 34945, "\u0120ammon": 34946, "Vers": 34947, "charges": 34948, "\u0120}}": 34949, "\u0120Chains": 34950, "\u0120246": 34951, "nob": 34952, "\u0120percept": 34953, "\u0120grit": 34954, "\u0120fishermen": 34955, "\u0120Iraqis": 34956, "\u0120DISTR": 34957, "\u0120FULL": 34958, "\u0120Evaluation": 34959, "graph": 34960, "atial": 34961, "\u0120cooperating": 34962, "\u0120melan": 34963, "\u0120enlightened": 34964, "\u0120ali": 34965, "tailed": 34966, "\u0120salute": 34967, "\u0120weakest": 34968, "\u0120Bulldogs": 34969, "UA": 34970, "\u0120Alloy": 34971, "\u0120semen": 34972, "ocene": 34973, "\u0120Williamson": 34974, "spr": 34975, ",\u00e2\u0122\u0136": 34976, "\u0120GF": 34977, "ittens": 34978, "Beat": 34979, "\u0120Junk": 34980, "iphate": 34981, "\u0120Farmers": 34982, "\u0120Bitcoins": 34983, "igers": 34984, "dh": 34985, "\u0120Loyal": 34986, "payer": 34987, "\u0120entertained": 34988, "\u0120penned": 34989, "\u0120coupon": 34990, "Queue": 34991, "\u0120weakening": 34992, "carry": 34993, "\u0120underestimate": 34994, "\u0120shootout": 34995, "\u0120charismatic": 34996, "\u0120Procedure": 34997, "\u0120prudent": 34998, "inances": 34999, "\u0120riches": 35000, "\u0120cortical": 35001, "\u0120strides": 35002, "\u0120drib": 35003, "\u0120Oilers": 35004, "540": 35005, "\u0120Perform": 35006, "\u0120Bangkok": 35007, "\u0120euth": 35008, "SER": 35009, "\u0120simplistic": 35010, "tops": 35011, "campaign": 35012, "Quality": 35013, "\u0120impoverished": 35014, "\u0120Eisenhower": 35015, "\u0120augment": 35016, "\u0120Harden": 35017, "\u0120intervened": 35018, "\u0120listens": 35019, "\u0120Kok": 35020, "\u0120sage": 35021, "\u0120rubbish": 35022, "\u0120Ded": 35023, "\u0120mull": 35024, "pelling": 35025, "\u0120videot": 35026, "Production": 35027, "DJ": 35028, "miah": 35029, "\u0120adaptations": 35030, "\u0120medically": 35031, "\u0120boarded": 35032, "\u0120arrogance": 35033, "\u0120scrapped": 35034, "\u0120oppress": 35035, "FORMATION": 35036, "\u0120junction": 35037, "415": 35038, "EEEE": 35039, "Skill": 35040, "\u0120subdu": 35041, "\u0120Suggest": 35042, "\u0120Pett": 35043, "\u0120lett": 35044, "\u0120Manip": 35045, "\u0120Caf": 35046, "\u0120Cooperation": 35047, "Ther": 35048, "\u0120regained": 35049, "\u00b6\u00e6": 35050, "reflect": 35051, "\u0120thugs": 35052, "\u0120Shelby": 35053, "\u0120dictates": 35054, "\u0120Weiner": 35055, "\u0120Hale": 35056, "\u0120battleground": 35057, "schild": 35058, "\u0120condol": 35059, "hunt": 35060, "ositories": 35061, "\u0120accuses": 35062, "Filename": 35063, "\u0120shri": 35064, "\u0120motivate": 35065, "\u0120reflections": 35066, "Null": 35067, "\u0120Lobby": 35068, "\u00a5\u00b5": 35069, "\u0120SATA": 35070, "\u0120Backup": 35071, "\u00d1\u0125": 35072, "nin": 35073, "\u0120Correction": 35074, "\u0120juicy": 35075, "utra": 35076, "\u0120Pric": 35077, "\u0120restraining": 35078, "\u0120Airbnb": 35079, "\u0120Arrest": 35080, "\u0120appropriations": 35081, "\u0120slopes": 35082, "\u0120manslaughter": 35083, "\u0120workings": 35084, "\u0120Huss": 35085, "\u0120Frey": 35086, "Leave": 35087, "\u0120Harmony": 35088, "\u0120Feder": 35089, "\u0120430": 35090, "\u0120trench": 35091, "\u0120gladly": 35092, "\u0120bullpen": 35093, "\u0120Gau": 35094, "bones": 35095, "\u0120groove": 35096, "\u0120pretext": 35097, "\u00e3\u0127\u012d": 35098, "\u0120transmitter": 35099, "\u0120Component": 35100, "\u0120underage": 35101, "\u0120Empires": 35102, "Tile": 35103, "\u0120oy": 35104, "\u0120Marvin": 35105, "\u0120CAS": 35106, "\u0120bloss": 35107, "\u0120replicated": 35108, "\u0120Mariners": 35109, "Marcus": 35110, "\u0120Blocks": 35111, "\u0120liberated": 35112, "\u0120butterfly": 35113, "Feel": 35114, "\u0120fermentation": 35115, "\u0120youtube": 35116, "\u0120offend": 35117, "\u0120Term": 35118, "resist": 35119, "\u0120cessation": 35120, "\u0120insurgency": 35121, "\u0120bir": 35122, "\u0120Raise": 35123, "595": 35124, "\u0120hypotheses": 35125, "502": 35126, "\u0120plaque": 35127, "ocrat": 35128, "\u0120jackets": 35129, "\u0120HuffPost": 35130, "among": 35131, "\u0120confer": 35132, "487": 35133, "\u0120Lilly": 35134, "\u0120adapting": 35135, "\u0120Fay": 35136, "\u0120shoved": 35137, "vec": 35138, "\u0120refine": 35139, "\u0120gon": 35140, "\u0120gunmen": 35141, "zai": 35142, "\u0120Shuttle": 35143, "\u0120Izan": 35144, "\u01201913": 35145, "\u0120plethora": 35146, "\u00c2\u00b7\u00c2\u00b7": 35147, "\u0120510": 35148, "\u0120puberty": 35149, "\u0120241": 35150, "\u0120Wealth": 35151, "\u0120Alma": 35152, "\u0120MEM": 35153, "\u0120Adults": 35154, "Cas": 35155, "prison": 35156, "Race": 35157, "\u0120waterproof": 35158, "\u0120athleticism": 35159, "\u0120capitalize": 35160, "\u0120Juice": 35161, "\u0120illuminated": 35162, "\u0120Pascal": 35163, "\u0120irritation": 35164, "\u0120Witnesses": 35165, "adle": 35166, "\u0120Astro": 35167, "\u0120fax": 35168, "\u0120Elvis": 35169, "Primary": 35170, "\u0120Lich": 35171, "\u0120Elves": 35172, "\u0120residing": 35173, "\u0120stumble": 35174, "319": 35175, "\u0120PKK": 35176, "\u0120adversaries": 35177, "DOS": 35178, "\u0120Ritual": 35179, "\u0120smear": 35180, "\u0120arson": 35181, "idental": 35182, "\u0120scant": 35183, "\u0120monarchy": 35184, "\u0120halftime": 35185, "\u0120residue": 35186, "\u0120indign": 35187, "\u0120Shaun": 35188, "\u0120Elm": 35189, "auri": 35190, "Aff": 35191, "WATCH": 35192, "\u0120Lyon": 35193, "helps": 35194, "361": 35195, "\u0120lobbyist": 35196, "\u0120diminishing": 35197, "\u0120outbreaks": 35198, "\u0120goats": 35199, "favorite": 35200, "\u0120Nah": 35201, "sonian": 35202, "\u0120Booster": 35203, "\u0120sandbox": 35204, "\u0120Fare": 35205, "\u0120Malta": 35206, "\u0120attRot": 35207, "\u0120MOR": 35208, "lde": 35209, "\u0120navigating": 35210, "Touch": 35211, "\u0120untrue": 35212, "\u0120Disaster": 35213, "\u0120ludicrous": 35214, "Password": 35215, "\u0120JFK": 35216, "blogspot": 35217, "416": 35218, "\u0120UNDER": 35219, "ernal": 35220, "\u0120delaying": 35221, "TOP": 35222, "\u0120implants": 35223, "\u0120AVG": 35224, "\u0120Huge": 35225, "attr": 35226, "\u0120journalistic": 35227, "\u0120Peyton": 35228, "\u0120IA": 35229, "Rap": 35230, "goal": 35231, "\u0120Programme": 35232, "\u0120smashing": 35233, "wives": 35234, "println": 35235, "\u0120Plague": 35236, "inus": 35237, "EEP": 35238, "\u0120cruiser": 35239, "\u0120Parish": 35240, "uminium": 35241, "\u0120occupants": 35242, "\u0120Jihad": 35243, "mop": 35244, "\u0120pint": 35245, "\u0120hect": 35246, "\u0120Mecca": 35247, "director": 35248, "\u0120Funding": 35249, "\u0120Mixed": 35250, "\u0120stag": 35251, "Tier": 35252, "\u0120gust": 35253, "\u0120brightly": 35254, "orsi": 35255, "\u0120uphill": 35256, "RD": 35257, "\u0120lesions": 35258, "\u0120Bundy": 35259, "livious": 35260, "\u0120biologist": 35261, "\u0120Faculty": 35262, "\u0120Authorization": 35263, "\u0120244": 35264, "Allow": 35265, "\u00ef\u00b8": 35266, "\u0120Giul": 35267, "\u0120pertinent": 35268, "otaur": 35269, "esse": 35270, "\u0120Roof": 35271, "\u0120unmanned": 35272, "351": 35273, "\u0120Shak": 35274, "\u0120Orient": 35275, "\u0120endanger": 35276, "Dir": 35277, "\u0120replen": 35278, "edient": 35279, "\u0120tailor": 35280, "\u0120gadgets": 35281, "\u0120audible": 35282, "\u00e2\u013a\u0128": 35283, "Nice": 35284, "\u0120bombard": 35285, "\u0120Rape": 35286, "\u0120defiance": 35287, "\u0120TWO": 35288, "\u0120Filipino": 35289, "\u0120unaffected": 35290, "ervatives": 35291, "\u0120soared": 35292, "\u0120Bolton": 35293, "\u0120compromising": 35294, "\u0120Brewers": 35295, "RAL": 35296, "\u0120AHL": 35297, "icycle": 35298, "\u0120vampires": 35299, "\u0120dipped": 35300, "oyer": 35301, "\u0120XIII": 35302, "\u0120sideways": 35303, "\u0120Waste": 35304, "\u0120Diss": 35305, "\u0120\u00e2\u0136\u013e\u00e2\u0136\u0122\u00e2\u0136\u0122": 35306, "$.": 35307, "\u0120habitats": 35308, "\u0120Beef": 35309, "truth": 35310, "trained": 35311, "split": 35312, "Rus": 35313, "Andy": 35314, "\u0120Bram": 35315, "REP": 35316, "pid": 35317, "\u00e8\u00a3\u0127": 35318, "\u0120Mutant": 35319, "Anim": 35320, "\u0120Marina": 35321, "\u0120futile": 35322, "highest": 35323, "frequency": 35324, "\u0120epilepsy": 35325, "\u0120coping": 35326, "\u0120concise": 35327, "\u0120tracing": 35328, "\u0120SUN": 35329, "panel": 35330, "\u0120Sophie": 35331, "\u0120Crowley": 35332, "\u0120Adolf": 35333, "\u0120Shooter": 35334, "\u0120shaky": 35335, "\u0120IG": 35336, "\u0120Lies": 35337, "\u0120Barber": 35338, "pkg": 35339, "\u0120uptake": 35340, "\u0120predatory": 35341, "ULTS": 35342, "/**": 35343, "\u0120intoxicated": 35344, "\u0120Westbrook": 35345, "odder": 35346, "hement": 35347, "\u0120baseman": 35348, "APD": 35349, "storage": 35350, "\u0120Fifty": 35351, "editor": 35352, "GEN": 35353, "UTION": 35354, "irting": 35355, "\u0120sewing": 35356, "rift": 35357, "\u0120agony": 35358, "\u0120Sands": 35359, "\u0120254": 35360, "Cash": 35361, "\u0120lodge": 35362, "\u0120punt": 35363, "Natural": 35364, "\u0120Ideas": 35365, "\u0120erroneous": 35366, "\u0120Sensor": 35367, "\u0120Hannity": 35368, "\u01201921": 35369, "\u0120mould": 35370, "\u0120Gon": 35371, "kaya": 35372, "\u0120anonymously": 35373, "\u0120KEY": 35374, "\u0120simulator": 35375, "Winter": 35376, "\u0120streamed": 35377, "507": 35378, "?\",": 35379, "\u0120teased": 35380, "\u0120coefficient": 35381, "\u0120wartime": 35382, "\u0120THR": 35383, "''.": 35384, "\u0120Banking": 35385, "mpire": 35386, "\u0120fandom": 35387, "\u0120lia": 35388, "Ga": 35389, "\u0120downhill": 35390, "\u0120interpreting": 35391, "Individual": 35392, "Norm": 35393, "\u0120jealousy": 35394, "bitcoin": 35395, "\u0120pleasures": 35396, "\u0120Toys": 35397, "\u0120Chevrolet": 35398, "\u0120Advisor": 35399, "IZE": 35400, "\u0120receptions": 35401, "706": 35402, "Cro": 35403, "\u0120262": 35404, "\u0120citrus": 35405, "iru": 35406, "Reviewer": 35407, "jected": 35408, "UES": 35409, "anz": 35410, "1981": 35411, "\u0120Worker": 35412, "\u0120complied": 35413, "orescent": 35414, "continental": 35415, "Ton": 35416, "\u0120Prism": 35417, "\u0120Sheep": 35418, "\u0120288": 35419, "nox": 35420, "\u0120Vog": 35421, "Ord": 35422, "\u0120realms": 35423, "tek": 35424, "\u0120irrigation": 35425, "\u0120bicycles": 35426, "\u0120electronically": 35427, "poly": 35428, "tall": 35429, "());": 35430, "\u0120aesthetics": 35431, "\u0120Integrated": 35432, "Explore": 35433, "\u0120dunk": 35434, "476": 35435, "pain": 35436, "\u0120Jacques": 35437, "\u0120Dmit": 35438, "Frames": 35439, "\u0120reunited": 35440, "\u0120humid": 35441, "Dro": 35442, "Political": 35443, "\u0120youthful": 35444, "\u0120entails": 35445, "\u0120mosquito": 35446, "363": 35447, "species": 35448, "\u0120coordinating": 35449, "\u0120Mayhem": 35450, "\u0120Magnus": 35451, "Mount": 35452, "Improved": 35453, "\u0120STATE": 35454, "ATTLE": 35455, "\u0120flowed": 35456, "\u0120tackled": 35457, "\u0120fashioned": 35458, "\u0120reorgan": 35459, "ivari": 35460, "finger": 35461, "\u0120reluctantly": 35462, "etting": 35463, "\u0120Vand": 35464, "young": 35465, "\u0120Garland": 35466, "\u0120presumption": 35467, "\u0120amenities": 35468, "\u0120Pleasant": 35469, "onential": 35470, "\u0120Oxy": 35471, "\u0120morals": 35472, "\u0120Yah": 35473, "Ready": 35474, "Simon": 35475, "Enh": 35476, "Demon": 35477, "\u0120clich": 35478, "Monitor": 35479, "\u0120DU": 35480, "\u0120welcomes": 35481, "\u0120standout": 35482, "\u0120dreadful": 35483, "\u0120bananas": 35484, "\u0120balloons": 35485, "hooting": 35486, "basic": 35487, "\u0120suffix": 35488, "\u0120duly": 35489, "cano": 35490, "Chain": 35491, "atos": 35492, "\u0120geopolitical": 35493, "\u0120(&": 35494, "\u0120Gemini": 35495, "\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124\u00c3\u0125\u00c3\u0124": 35496, "\u0120acquitted": 35497, "Luck": 35498, "protect": 35499, "1024": 35500, "\u0120scarcity": 35501, "\u0120mindfulness": 35502, "ecided": 35503, "DN": 35504, "prime": 35505, "\u0120Presidents": 35506, "\u0120VIDEO": 35507, "\u0120(\u00e2\u012a\u0134": 35508, "addock": 35509, "NOR": 35510, "\u0120Pru": 35511, "pun": 35512, "\u0120LOL": 35513, "))))": 35514, "\u0120Liqu": 35515, "\u0120SAS": 35516, "\u0120styling": 35517, "\u0120punishments": 35518, "\u0120numb": 35519, "\u0120ascertain": 35520, "\u0120Rockies": 35521, "flu": 35522, "Thumbnail": 35523, "\u0120perpetrated": 35524, "\u0120Semi": 35525, "\u0120disarm": 35526, "\u0120Older": 35527, "\u0120Exception": 35528, "\u0120exponentially": 35529, "\u0120Communities": 35530, "\u0120abolish": 35531, "\u0120Partner": 35532, "ptoms": 35533, "\u0120777": 35534, "\u0120Foley": 35535, "\u0120Cases": 35536, "\u0120grease": 35537, "\u0120Rebirth": 35538, "Ground": 35539, "\u0120;)": 35540, "\u0120Doctrine": 35541, "ikini": 35542, "Ye": 35543, "\u0120Blossom": 35544, "\u0120persists": 35545, "bill": 35546, "\u0120infusion": 35547, "\u0120buddies": 35548, "911": 35549, "\u0120Patient": 35550, "\u0120demos": 35551, "\u0120acquaintance": 35552, "\u0120Paw": 35553, "atari": 35554, "\u0120xml": 35555, "\u0120fascination": 35556, "\u0120Serve": 35557, "\u00cf\u0124": 35558, "branded": 35559, "\u0120az": 35560, "Returns": 35561, "\u0120overshadow": 35562, "\u0120roam": 35563, "\u0120speedy": 35564, "numbered": 35565, "helial": 35566, "\u0120disciple": 35567, "\u0120assurances": 35568, "given": 35569, "pecting": 35570, "\u0120Natalie": 35571, "\u00e7\u0136\u00b0": 35572, "\u0120mosquitoes": 35573, "rotein": 35574, "\u0120numeric": 35575, "\u0120independents": 35576, "\u0120transitional": 35577, "\u0120reactionary": 35578, "\u0120Mechdragon": 35579, "doctor": 35580, "\u0120shortest": 35581, "\u0120sequential": 35582, "\u0120Bac": 35583, "\u0120Accounts": 35584, "\u00e3\u0123\u012e": 35585, "achy": 35586, "ractive": 35587, "\u0120Regiment": 35588, "\u0120breathtaking": 35589, "fficiency": 35590, "\u0120Bates": 35591, "\u0120311": 35592, "\u0120wardrobe": 35593, "fts": 35594, "\u0120Berk": 35595, "Simply": 35596, "\u0120Riverside": 35597, "ivering": 35598, "idential": 35599, "lucent": 35600, "\u0120enriched": 35601, "\u0120Conver": 35602, "\u0120Giving": 35603, "\u00e3\u0125\u013b": 35604, "\u0120legalize": 35605, "\u0120FTC": 35606, "\u0120freaking": 35607, "Mix": 35608, "\u0120terrestrial": 35609, "esian": 35610, "cients": 35611, "Wing": 35612, "LOAD": 35613, "\u0120ledge": 35614, "\u0120Violent": 35615, "\u0120Metall": 35616, "\u0120308": 35617, "\u0120southeastern": 35618, "hetto": 35619, "Meat": 35620, "\u0120slowdown": 35621, "\u0120retreated": 35622, "Jeremy": 35623, "endas": 35624, "*****": 35625, "eric": 35626, "\u0120reins": 35627, "oppable": 35628, "\u0120Humanity": 35629, "earances": 35630, "rigan": 35631, "Camera": 35632, "\u0120waivers": 35633, "soc": 35634, "\u0120alteration": 35635, "transform": 35636, "\u0120Cemetery": 35637, "506": 35638, "\u0120indefinite": 35639, "\u0120stimulating": 35640, "yg": 35641, "603": 35642, "\u0120Sop": 35643, "\u0120descriptive": 35644, "Phase": 35645, "\u0120Edmund": 35646, "\u0120pneumonia": 35647, "ventus": 35648, "Amb": 35649, "\u0120laboratories": 35650, "\u0120Exclusive": 35651, "ugar": 35652, "Were": 35653, "\u0120malfunction": 35654, "\u0120homosexuals": 35655, "\u0120-------": 35656, "uni": 35657, "\u0120turbines": 35658, "\u0120Equity": 35659, "Du": 35660, "\u0120minded": 35661, "\u0120RH": 35662, "\u0120Blackhawks": 35663, "\u0120feats": 35664, "\u01201700": 35665, "repl": 35666, "362": 35667, "laden": 35668, "\u0120indispensable": 35669, "lyss": 35670, "tti": 35671, "\u0120reel": 35672, "\u0120diverted": 35673, "\u0120likeness": 35674, "\u0120subscriptions": 35675, "\u0120fingert": 35676, "\u0120filthy": 35677, "destruct": 35678, "draft": 35679, "\u0120Bernardino": 35680, "launch": 35681, "\u0120perplex": 35682, "\u0120SUM": 35683, "carb": 35684, "\u0120sweater": 35685, "\u0120Venture": 35686, "\u0120Jag": 35687, "\u0120Celeb": 35688, "\u0120Voters": 35689, "\u0120steadfast": 35690, "\u0120athletics": 35691, "\u0120Hanson": 35692, "\u0120Drac": 35693, "Tracker": 35694, "\u0120commend": 35695, "\u0120Presidency": 35696, "\u0120DID": 35697, "informed": 35698, "\u0120webpage": 35699, "Pretty": 35700, "\u0120forcefully": 35701, "\u00e3\u0125\u0125\u00e3\u0124\u00af": 35702, "\u0120relocation": 35703, "\u0120satire": 35704, "\u00e2\u012b": 35705, "\u0120Sunderland": 35706, "\u00e6\u0126": 35707, "Voice": 35708, "????????": 35709, "\u0120informant": 35710, "\u0120bowel": 35711, "\u0120Uniform": 35712, "\u0120...\"": 35713, "\u0120purge": 35714, "\u0120picnic": 35715, "\u0120Umb": 35716, "\u0120UPDATE": 35717, "\u0120Sapphire": 35718, "\u0120Stall": 35719, "learn": 35720, "\u0120objectively": 35721, "\u0120obliter": 35722, "\u0120loophole": 35723, "\u0120journeys": 35724, "\u0120omission": 35725, "Pros": 35726, "\u0120Sidney": 35727, "ploma": 35728, "\u0120sprayed": 35729, "\u0120guru": 35730, "\u0120traitor": 35731, "\u0120timet": 35732, "\u0120snapping": 35733, "\u0120Sevent": 35734, "urnal": 35735, "\u0120Ukip": 35736, "\u0120bowed": 35737, "poral": 35738, "liberal": 35739, "Ros": 35740, "Questions": 35741, "iOS": 35742, "\u0120summarize": 35743, "STAT": 35744, "\u01201850": 35745, "apest": 35746, "\u0120lender": 35747, "\u0120Variable": 35748, "bringing": 35749, "\u0120LORD": 35750, ",)": 35751, "\u0120collapses": 35752, "xiety": 35753, "\u0120Ned": 35754, "YD": 35755, "\u0120Scha": 35756, "\u0120antibody": 35757, "\u0120disband": 35758, "yre": 35759, "illusion": 35760, "\u0120rover": 35761, "shed": 35762, "\u0120Hirosh": 35763, "cci": 35764, "\u0120calam": 35765, "\u0120Morton": 35766, "Pinterest": 35767, "\u01201928": 35768, "\u0120Euras": 35769, "ordes": 35770, "\u0120fences": 35771, "\u0120Inventory": 35772, "\u0120Valencia": 35773, "\u0120Ud": 35774, "\u0120Tiff": 35775, "\u0120sque": 35776, "\u0120quotation": 35777, "\u0120troublesome": 35778, "erker": 35779, "QUEST": 35780, "\u0120Kingdoms": 35781, "south": 35782, "\u0120levy": 35783, "Prince": 35784, "\u0120Sting": 35785, "\u0120nicknamed": 35786, "\u0120appe": 35787, "\u0120photographic": 35788, "\u0120corpus": 35789, "reference": 35790, "\u0120Trog": 35791, "Unt": 35792, ")=(": 35793, "\u0120Latvia": 35794, "\u0120activating": 35795, "\u0120licensee": 35796, "\u0120disparities": 35797, "\u0120Newsletter": 35798, "\u00e3\u0125\u0125\u00e3\u0125\u012a": 35799, "\u0120freeing": 35800, "\u0120Jeep": 35801, "\u0120Perception": 35802, "insk": 35803, "\u0120silicone": 35804, "\u0120Hayden": 35805, "Lean": 35806, "\u0120Suzuki": 35807, "ibrarian": 35808, "668": 35809, "\u0120spor": 35810, "\u0120correlations": 35811, "aghetti": 35812, "\u0120tuber": 35813, "\u0120IPCC": 35814, "ilus": 35815, "\u0120Vu": 35816, "\u0120wealthiest": 35817, "\u0120Carbuncle": 35818, "anza": 35819, "\u0120fooled": 35820, "\u0120Zur": 35821, "\u0120daddy": 35822, "rano": 35823, "ilian": 35824, "\u0120knockout": 35825, "fman": 35826, "required": 35827, "\u0120Wikileaks": 35828, "\u0120Duffy": 35829, "ONT": 35830, "\u0120insol": 35831, "\u0120Objects": 35832, "\u0120bou": 35833, "\u0120Nordic": 35834, "\u0120Insert": 35835, "scan": 35836, "\u0120dancers": 35837, "\u0120idiots": 35838, "majority": 35839, "\u0120Neville": 35840, "\u0120FreeBSD": 35841, "\u0120tart": 35842, "panic": 35843, "690": 35844, "\u0120cocoa": 35845, "\u0120sampled": 35846, "\u0120lookup": 35847, "Indust": 35848, "\u0120injections": 35849, "genre": 35850, "\u0120au": 35851, "\u0120roadway": 35852, "\u0120genitals": 35853, "Kind": 35854, "\u0120Examiner": 35855, "\u0120Yaz": 35856, "Fresh": 35857, "\u0120paralysis": 35858, "\u0120Aluminum": 35859, "\u0120reap": 35860, "ok\u00c3\u00a9": 35861, "\u0120sloppy": 35862, "\u0120Tunnel": 35863, "posium": 35864, "nery": 35865, "enic": 35866, "\u0120herbal": 35867, "\u0120Outer": 35868, "\u0120Builder": 35869, "\u0120incur": 35870, "\u0120ideologies": 35871, "\u0120backups": 35872, "consuming": 35873, "\u0120Detect": 35874, "deck": 35875, "\u0120KNOW": 35876, "\u0120Gret": 35877, "\u0120MIC": 35878, "\u0120toughness": 35879, "\u0120Exhibit": 35880, "\u0120hive": 35881, "Les": 35882, "\u0120SCHOOL": 35883, "\u0120Atari": 35884, "alde": 35885, "\u0120Null": 35886, "andestine": 35887, "mouse": 35888, "\u0120brigade": 35889, "489": 35890, "\u0120revol": 35891, "\u0120Lawson": 35892, "\u0120Wah": 35893, "opoly": 35894, "ebted": 35895, "\u0120Saunders": 35896, "\u0120313": 35897, "\u0120Winc": 35898, "\u0120taboo": 35899, "\u0120Helmet": 35900, "\u0120wedge": 35901, "chip": 35902, "\u0120Tina": 35903, "bg": 35904, "\u0120infuri": 35905, "rn": 35906, "\u0120anomalies": 35907, "\u0120Sync": 35908, "\u0120Exam": 35909, "\u0120Commit": 35910, "\u0120Diary": 35911, "\u0120ALSO": 35912, "\u0120Debor": 35913, "omedical": 35914, "\u0120comprehension": 35915, "655": 35916, "\u0120empowering": 35917, "\u0120ire": 35918, "\u0120juices": 35919, "\u0120ETH": 35920, "\u0120Boxing": 35921, "=\"/": 35922, "\u0120facilitated": 35923, "poke": 35924, "\u0120Parsons": 35925, "\u0120Moder": 35926, "travel": 35927, "\u0120civilizations": 35928, "\u0120libertarians": 35929, "\u0120rune": 35930, "\u0120Clarks": 35931, "athed": 35932, "\u0120campaigners": 35933, "\u0120Dispatch": 35934, "\u0120Fahrenheit": 35935, "\u0120Capcom": 35936, "----------": 35937, "\u0120lace": 35938, "\u0120draining": 35939, "\u0120liner": 35940, "\u0120Artificial": 35941, "\u00c3\u00a9n": 35942, "task": 35943, "]).": 35944, "\u0120GMO": 35945, "\u0120Operator": 35946, "ordinary": 35947, "\u0120Influence": 35948, "\u0120Ups": 35949, "\u0120potency": 35950, "ussen": 35951, "ospons": 35952, "\u0120Swim": 35953, "\u0120Deadline": 35954, "Unity": 35955, "\u0120culinary": 35956, "\u0120enlightenment": 35957, "\u0120wearer": 35958, "\u0120mined": 35959, "\u0120ply": 35960, "\u0120incest": 35961, "\u0120DVDs": 35962, "Walk": 35963, "BTC": 35964, "Trade": 35965, "\u0120deval": 35966, "iband": 35967, "\u0120Oversight": 35968, "Palestinian": 35969, "\u0120dart": 35970, "\u0120mul": 35971, "LR": 35972, "\u0120removable": 35973, "\u0120Realms": 35974, "\u00ec\u013f": 35975, "\u0120miscar": 35976, "\u0120Vulkan": 35977, "685": 35978, "\u00c3\u00a8re": 35979, "\u0120Sap": 35980, "\u0120merging": 35981, "\u0120Carly": 35982, "chester": 35983, "\u0120brisk": 35984, "\u0120luxurious": 35985, "\u0120Generator": 35986, "\u0120bitterness": 35987, "\u0120edible": 35988, "\u0120243": 35989, "TG": 35990, "\u0120rectangle": 35991, "WithNo": 35992, "below": 35993, "Jenn": 35994, "\u0120darkest": 35995, "\u0120hitch": 35996, "\u0120dosage": 35997, "\u0120scaven": 35998, "\u0120Keller": 35999, "\u0120Illustrated": 36000, "Certainly": 36001, "\u0120Mavericks": 36002, "Marginal": 36003, "\u0120diarrhea": 36004, "\u0120enormously": 36005, "\u0120999": 36006, "shr": 36007, "quart": 36008, "\u0120adamant": 36009, "\u0120Mew": 36010, "\u0120renovation": 36011, "\u0120cervical": 36012, "\u0120Percentage": 36013, "eners": 36014, "\u0120Kimber": 36015, "\u0120floats": 36016, "\u0120dex": 36017, "\u0120Witcher": 36018, "\u0120Swansea": 36019, "dm": 36020, "\u0120salty": 36021, "yellow": 36022, "\u0120cape": 36023, "\u0120Drain": 36024, "\u0120Paula": 36025, "\u0120Toledo": 36026, "lesi": 36027, "Magazine": 36028, "\u0120Wick": 36029, "\u0120Mn": 36030, "\u0120Ack": 36031, "\u0120Riding": 36032, "ASON": 36033, "\u0120homophobic": 36034, "ARP": 36035, "\u0120wandered": 36036, "CPU": 36037, "oodoo": 36038, "\u0120Pipe": 36039, "\u0120tightening": 36040, "\u0120Butt": 36041, "318": 36042, "\u0120deserted": 36043, "Session": 36044, "\u0120facilitating": 36045, "Jump": 36046, "\u0120emergencies": 36047, "OWER": 36048, "\u0120exhaustive": 36049, "\u0120AFTER": 36050, "\u0120heartbeat": 36051, "\u0120Label": 36052, "acky": 36053, "\u0120Certified": 36054, "iltration": 36055, "Ze": 36056, "\u0120Utt": 36057, "\u01201300": 36058, "\u0120presume": 36059, "\u0120Disp": 36060, "\u0120surged": 36061, "\u0120dolls": 36062, "Columb": 36063, "\u0120chimpan": 36064, "\u0120Razor": 36065, "\u0120ticks": 36066, "\u0120councillor": 36067, "\u0120pilgrimage": 36068, "\u0120Rebels": 36069, "\u0120QC": 36070, "\u0120Auction": 36071, "xia": 36072, "ikk": 36073, "bred": 36074, "\u0120insertion": 36075, "\u0120coarse": 36076, "dB": 36077, "SEE": 36078, "\u0120Zap": 36079, "\u0120Foo": 36080, "\u0120contempor": 36081, "\u0120Quarterly": 36082, "otions": 36083, "\u0120Alchemist": 36084, "\u0120Trey": 36085, "\u0120Duo": 36086, "Sweet": 36087, "804": 36088, "\u0120Giov": 36089, "\u0120funn": 36090, "Nin": 36091, "hoff": 36092, "\u0120ramifications": 36093, "\u01201922": 36094, "\u0120Experts": 36095, "azes": 36096, "\u0120garments": 36097, "arial": 36098, "\u0120Nab": 36099, "\u0120257": 36100, "\u0120Ved": 36101, "\u0120humorous": 36102, "\u0120Pompe": 36103, "\u0120nylon": 36104, "\u0120lurking": 36105, "\u0120Sergey": 36106, "\u0120Mattis": 36107, "\u0120misogyny": 36108, "\u0120Components": 36109, "\u0120Watching": 36110, "\u0120Folk": 36111, "ractical": 36112, "Bush": 36113, "\u0120taped": 36114, "\u0120grouping": 36115, "\u0120beads": 36116, "\u01202048": 36117, "\u0120condu": 36118, "querque": 36119, "Reading": 36120, "\u0120grievances": 36121, "Ultra": 36122, "\u0120endpoint": 36123, "Hig": 36124, "\u0120Static": 36125, "\u0120Scarborough": 36126, "Lua": 36127, "\u0120Messi": 36128, "aqu": 36129, "\u0120PsyNet": 36130, "\u0120Rudd": 36131, "\u0120avenue": 36132, "vp": 36133, "Jer": 36134, "\u0120shady": 36135, "\u0120Resist": 36136, "\u0120Artemis": 36137, "\u0120careless": 36138, "\u0120brokers": 36139, "\u0120temperament": 36140, "\u0120520": 36141, "Tags": 36142, "\u0120Turning": 36143, "\u0120uttered": 36144, "\u0120pedd": 36145, "\u0120improvised": 36146, "\u0120:(": 36147, "\u0120tabl": 36148, "\u0120plains": 36149, "1600": 36150, "pressure": 36151, "\u0120Essence": 36152, "margin": 36153, "friends": 36154, "\u0120Restoration": 36155, "\u0120pollut": 36156, "\u0120Poker": 36157, "\u0120Augustine": 36158, "\u0120CIS": 36159, "\u0120SEAL": 36160, "orama": 36161, "\u0120thwart": 36162, "seek": 36163, "\u0120pagan": 36164, "\u00c2\u00ba": 36165, "cpu": 36166, "\u0120garn": 36167, "\u0120assortment": 36168, "\u0120ILCS": 36169, "tower": 36170, "Recommended": 36171, "\u0120unborn": 36172, "\u0120RandomRedditor": 36173, "\u0120RandomRedditorWithNo": 36174, "\u0120paralyzed": 36175, "\u0120eruption": 36176, "\u0120intersect": 36177, "\u0120Stoke": 36178, "\u0120Sco": 36179, "Bind": 36180, "\u00e5\u00be": 36181, "\u0120PNG": 36182, "\u0120Negative": 36183, "\u0120NOAA": 36184, "Leon": 36185, "\u0120alloy": 36186, "\u0120Lama": 36187, "\u0120Diversity": 36188, "575": 36189, "\u0120underestimated": 36190, "\u0120Scor": 36191, "\u0120mural": 36192, "\u0120busted": 36193, "soon": 36194, "lif": 36195, "\u0120nonex": 36196, "\u0120allergy": 36197, "\u0120Underworld": 36198, "\u0120Rays": 36199, "\u0120Blasio": 36200, "\u0120hrs": 36201, "\u0120Dir": 36202, "\u0120327": 36203, "byter": 36204, "\u0120replacements": 36205, "\u0120activates": 36206, "rived": 36207, "MH": 36208, "\u0120pans": 36209, "\u0120HI": 36210, "\u0120longitudinal": 36211, "\u0120nuisance": 36212, "aler": 36213, "\u0120swell": 36214, "\u0120Signed": 36215, "sci": 36216, "\u0120Isles": 36217, "\u0120AGA": 36218, "\u0120defiant": 36219, "\u0120sonic": 36220, "ocon": 36221, "KC": 36222, "\u0120Aim": 36223, "tie": 36224, "ahah": 36225, "\u0120mL": 36226, "DX": 36227, "\u0120bisc": 36228, "\u0120Billboard": 36229, "\u0120SYSTEM": 36230, "NEY": 36231, "gaard": 36232, "\u0120distressed": 36233, "formerly": 36234, "Alan": 36235, "\u0120chefs": 36236, "\u0120optics": 36237, "\u0120Comet": 36238, "\u0120AMC": 36239, "\u0120redesigned": 36240, "irmation": 36241, "\u0120sightings": 36242, "382": 36243, "311": 36244, "\u0120WB": 36245, "\u0120contraction": 36246, "\u0120TOTAL": 36247, "Dual": 36248, "\u0120startled": 36249, "\u0120understandably": 36250, "\u0120sunglasses": 36251, "ETHOD": 36252, "\u0120docker": 36253, "\u0120surfing": 36254, "\u0120HEL": 36255, "\u0120Slack": 36256, "tones": 36257, "\u0120shalt": 36258, "Visual": 36259, "498": 36260, "Department": 36261, "cussion": 36262, "\u0120unrestricted": 36263, "\u0120tad": 36264, "\u0120rename": 36265, "employed": 36266, "\u0120educating": 36267, "\u0120grinned": 36268, "bedroom": 36269, "\u0120Activities": 36270, "\u0120Velvet": 36271, "\u0120SWAT": 36272, "\u0120shuffle": 36273, "igor": 36274, "\u0120saturation": 36275, "Finding": 36276, "cream": 36277, "icter": 36278, "\u0120vodka": 36279, "tracking": 36280, "tec": 36281, "\u0120foreground": 36282, "iesta": 36283, "\u0120vehement": 36284, "\u0120ECB": 36285, "\u0120Tie": 36286, "Ey": 36287, "\u0120turtles": 36288, "\u0120Railroad": 36289, "\u0120Katz": 36290, "\u0120Frames": 36291, "\u0120menace": 36292, "\u0120Fellowship": 36293, "\u0120Essential": 36294, "uggish": 36295, "\u0120drip": 36296, "chwitz": 36297, "\u0120Kyoto": 36298, "sb": 36299, "\u0120Nina": 36300, "Parameter": 36301, "\u0120alarms": 36302, "\u0120Claud": 36303, "\u0120pioneering": 36304, "\u0120chiefly": 36305, "\u0120Scream": 36306, "Collection": 36307, "\u0120thankfully": 36308, "\u0120Ronaldo": 36309, "\u00e5\u0143\u0132": 36310, "strip": 36311, "\u0120Disneyland": 36312, "commercial": 36313, "Seeing": 36314, "Soul": 36315, "\u0120evacuate": 36316, "\u0120civ": 36317, "\u0120Ashe": 36318, "\u0120divides": 36319, "\u0120Dagger": 36320, "rehensive": 36321, "\u0120berries": 36322, "\u0120DF": 36323, "\u0120sushi": 36324, "\u0120plurality": 36325, "WI": 36326, "\u0120disadvantaged": 36327, "\u0120battalion": 36328, "obiles": 36329, "451": 36330, "\u0120cling": 36331, "\u0120undeniable": 36332, "\u0120Lounge": 36333, "\u0120haunt": 36334, "phe": 36335, "\u0120quantify": 36336, "\u0120differed": 36337, "\u0120[*]": 36338, "\u0120Viz": 36339, "cum": 36340, "slave": 36341, "\u0120videog": 36342, "\u0120quar": 36343, "\u0120bundles": 36344, "\u0120Alonso": 36345, "tackle": 36346, "\u0120neuronal": 36347, "\u0120landslide": 36348, "confirmed": 36349, "\u0120Depth": 36350, "\u0120renewables": 36351, "Bear": 36352, "\u0120Macedonia": 36353, "\u0120jerseys": 36354, "\u0120bunk": 36355, "\u0120Spawn": 36356, "\u0120Controls": 36357, "\u0120Buchanan": 36358, "\u0120robotics": 36359, "\u0120emphasizing": 36360, "\u0120Tutorial": 36361, "hyp": 36362, "iston": 36363, "\u0120monumental": 36364, "\u00e6\u00b0": 36365, "\u0120Carry": 36366, "\u0120tbsp": 36367, "enance": 36368, "Hill": 36369, "arthed": 36370, "\u0120rotten": 36371, "Dean": 36372, "\u0120twisting": 36373, "\u0120goodwill": 36374, "\u0120immersion": 36375, "Living": 36376, "\u0120brushes": 36377, "\u0120CGI": 36378, "\u0120Atk": 36379, "traditional": 36380, "\u0120phantom": 36381, "\u0120Stamina": 36382, "\u0120expansions": 36383, "\u0120Marin": 36384, "\u0120embarked": 36385, "\u0120Eg": 36386, "intestinal": 36387, "\u0120PEOPLE": 36388, "\u0120Booth": 36389, "\u0120Appalach": 36390, "\u0120relegated": 36391, "VT": 36392, "MIT": 36393, "\u0120muster": 36394, "\u0120withdrawing": 36395, "\u0120microscope": 36396, "\u0120Gathering": 36397, "\u0120Crescent": 36398, "\u0120Argentine": 36399, "\u0120Decre": 36400, "\u0120Dominic": 36401, "\u0120buds": 36402, "antage": 36403, "\u0120Ion": 36404, "\u0120widened": 36405, "ONSORED": 36406, "\u0120Gloves": 36407, "iannopoulos": 36408, "razen": 36409, "feel": 36410, "\u0120repayment": 36411, "\u0120hindsight": 36412, "\u0120REALLY": 36413, "\u0120Pistol": 36414, "\u0120Brah": 36415, "\u0120watts": 36416, "\u0120survives": 36417, "\u0120flurry": 36418, "issy": 36419, "Alert": 36420, "\u0120Uruguay": 36421, "Phoenix": 36422, "Slow": 36423, "\u0120Grave": 36424, "\u0120Fir": 36425, "\u0120manageable": 36426, "\u0120tariff": 36427, "\u0120UDP": 36428, "\u0120Pistons": 36429, "\u0120Nigerian": 36430, "\u0120strikeouts": 36431, "\u0120cosmetics": 36432, "whelming": 36433, "fab": 36434, "cape": 36435, "proxy": 36436, "\u0120rethink": 36437, "\u0120overcoming": 36438, "simple": 36439, "\u0120woo": 36440, "\u0120distracting": 36441, "\u0120Stanton": 36442, "\u0120Tulsa": 36443, "\u0120Dock": 36444, "659": 36445, "\u0120discord": 36446, "\u0120Emacs": 36447, "\u0120Ves": 36448, "\u0120ROB": 36449, "\u0120reassuring": 36450, "\u0120consortium": 36451, "Muslims": 36452, "321": 36453, "\u0120prompts": 36454, "sei": 36455, "\u0120Hitch": 36456, "imposed": 36457, "\u0120Fool": 36458, "\u0120indiscrim": 36459, "wrong": 36460, "buquerque": 36461, "Davis": 36462, "!]": 36463, "\u0120timeless": 36464, "\u0120NEED": 36465, "\u0120pesticide": 36466, "\u0120rallying": 36467, "\u0120Calder": 36468, "\u0120\u00e5\u00a4": 36469, "\u0120xp": 36470, "\u0120Unle": 36471, "\u0120Export": 36472, "luaj": 36473, "Buff": 36474, ")[": 36937, "\u0120sqor": 36938, "Saudi": 36939, "\u0120istg": 36940, "\u0120indulge": 36941, "proc": 36942, "\u0120disgusted": 36943, "\u0120compounded": 36944, "\u0120nem": 36945, "\u0120schooling": 36946, "\u0120Cure": 36947, "processing": 36948, "Sol": 36949, "\u0120proverb": 36950, "itized": 36951, "\u0120Alvarez": 36952, "\u0120scarf": 36953, "\u0120rectangular": 36954, "reve": 36955, "\u0120hormonal": 36956, "\u0120Stress": 36957, "itizen": 36958, "\u0120425": 36959, "girls": 36960, "\u0120Noir": 36961, "\u0120Rapp": 36962, "\u0120marches": 36963, "church": 36964, "\u0120Uses": 36965, "\u0120405": 36966, "\u0120Berm": 36967, "\u0120ordinances": 36968, "\u0120Judgment": 36969, "Charges": 36970, "\u0120Zin": 36971, "\u0120dusty": 36972, "\u0120strawberries": 36973, "\u0120perce": 36974, "\u0120Thur": 36975, "\u0120Deborah": 36976, "netflix": 36977, "\u0120Lambert": 36978, "\u0120amused": 36979, "\u0120Guang": 36980, "YOU": 36981, "RGB": 36982, "\u0120CCTV": 36983, "\u0120fiat": 36984, "rang": 36985, "\u0120federation": 36986, "\u0120Mant": 36987, "\u0120Bust": 36988, "\u0120Mare": 36989, "respective": 36990, "\u0120Migration": 36991, "\u0120BIT": 36992, "590": 36993, "\u0120patriotism": 36994, "\u0120outlining": 36995, "region": 36996, "\u0120Jos\u00c3\u00a9": 36997, "\u0120blasting": 36998, "\u0120Ezra": 36999, "Bs": 37000, "\u0120undermines": 37001, "\u0120Smooth": 37002, "\u0120clashed": 37003, "radio": 37004, "\u0120transitioning": 37005, "\u0120Buccaneers": 37006, "\u0120Owl": 37007, "\u0120plugs": 37008, "\u0120hiatus": 37009, "\u0120Pinball": 37010, "\u0120mig": 37011, "\u0120Nutr": 37012, "\u0120Wolfe": 37013, "\u0120integers": 37014, "\u0120orbits": 37015, "\u0120Edwin": 37016, "\u0120DirectX": 37017, "bite": 37018, "\u0120blazing": 37019, "vr": 37020, "Edge": 37021, "\u0120PID": 37022, "exit": 37023, "\u0120Comed": 37024, "\u0120Pathfinder": 37025, "\u0120Guid": 37026, "\u0120Signs": 37027, "\u0120Zer": 37028, "\u0120Agenda": 37029, "\u0120reimbursement": 37030, "Mesh": 37031, "iPhone": 37032, "\u0120Marcos": 37033, "\u0120Sites": 37034, "hate": 37035, "enburg": 37036, "\u0120sockets": 37037, "pend": 37038, "Batman": 37039, "vir": 37040, "\u0120SHOW": 37041, "\u0120provisional": 37042, "conn": 37043, "\u0120Deaths": 37044, "ATIVE": 37045, "Profile": 37046, "sym": 37047, "JA": 37048, "\u0120ninja": 37049, "installed": 37050, "idates": 37051, "ebra": 37052, "\u0120Omaha": 37053, "\u0120seizing": 37054, "\u0120Beasts": 37055, "\u0120salts": 37056, "Mission": 37057, "Generally": 37058, "\u0120Trilogy": 37059, "heon": 37060, "legates": 37061, "\u0120dime": 37062, "\u0120faire": 37063, "parable": 37064, "Graph": 37065, "\u0120totaling": 37066, "\u0120diagrams": 37067, "\u0120Yanuk": 37068, "plet": 37069, "\u0120Meh": 37070, "\u0120mythical": 37071, "\u0120Stephens": 37072, "autical": 37073, "ochemistry": 37074, "\u0120kilograms": 37075, "\u0120elbows": 37076, "ancock": 37077, "\u0120BCE": 37078, "\u0120Prague": 37079, "\u0120improv": 37080, "\u0120Devin": 37081, "\u0120\"\\": 37082, "paralle": 37083, "\u0120supremacists": 37084, "\u0120Billion": 37085, "\u0120regimen": 37086, "innacle": 37087, "\u0120requisite": 37088, "angan": 37089, "\u0120Burlington": 37090, "ainment": 37091, "\u0120Objective": 37092, "omsky": 37093, "GV": 37094, "\u0120unilateral": 37095, "\u0120tc": 37096, "\u0120hires": 37097, "mental": 37098, "\u0120involuntary": 37099, "\u0120transpl": 37100, "\u0120ASCII": 37101, "\u00c2\u00a8": 37102, "Events": 37103, "\u0120doubted": 37104, "\u0120Kaplan": 37105, "\u0120Courage": 37106, "igon": 37107, "\u0120Managing": 37108, "\u0120Tart": 37109, "\u0120falsehood": 37110, "\u0120Violet": 37111, "\u0120airs": 37112, "\u0120fertilizer": 37113, "Britain": 37114, "\u0120aquatic": 37115, "ouf": 37116, "Words": 37117, "\u0120Hartford": 37118, "\u0120evenings": 37119, "\u0120Vengeance": 37120, "quite": 37121, "Gall": 37122, "\u0120Pret": 37123, "\u0120pdf": 37124, "\u0120LM": 37125, "\u0120Sochi": 37126, "\u0120Intercept": 37127, "920": 37128, "\u0120profitability": 37129, "\u0120Idle": 37130, "\u0120MacDonald": 37131, "\u0120Establishment": 37132, "umsy": 37133, "\u0120gatherings": 37134, "\u0120Naj": 37135, "Charlie": 37136, "\u0120ascent": 37137, "\u0120Protector": 37138, "\u0120algebra": 37139, "\u0120bios": 37140, "forums": 37141, "ELS": 37142, "Introduced": 37143, "\u0120335": 37144, "\u0120astronomy": 37145, "Contribut": 37146, "\u0120Polic": 37147, "Platform": 37148, "\u0120containment": 37149, "wrap": 37150, "\u0120coronary": 37151, "\u0120Jelly": 37152, "manager": 37153, "\u0120heartbreaking": 37154, "cair": 37155, "\u0120Chero": 37156, "cgi": 37157, "Medical": 37158, "\u0120Accountability": 37159, "!!\"": 37160, "ophile": 37161, "\u0120psychotic": 37162, "\u0120Restrict": 37163, "\u0120equitable": 37164, "issues": 37165, "\u01201905": 37166, "\u0120Nek": 37167, "cised": 37168, "\u0120Tracking": 37169, "\u0120ozone": 37170, "\u0120cooker": 37171, "rosis": 37172, "\u0120reopen": 37173, "\u0120infinity": 37174, "\u0120Pharmaceutical": 37175, "ensional": 37176, "Attempt": 37177, "\u0120Rory": 37178, "Marco": 37179, "\u0120awaits": 37180, "HOW": 37181, "treated": 37182, "\u0120bolst": 37183, "\u0120revered": 37184, "\u0120pods": 37185, "oppers": 37186, "0010": 37187, "\u0120amplitude": 37188, "rican": 37189, "SPONSORED": 37190, "\u0120trousers": 37191, "\u0120halves": 37192, "\u0120Kaine": 37193, "\u0120Cutler": 37194, "\u0120AUTH": 37195, "\u0120splendid": 37196, "\u0120preventive": 37197, "\u0120Dudley": 37198, "ifacts": 37199, "uminati": 37200, "\u0120Yin": 37201, "\u0120admon": 37202, "\u0120Vag": 37203, "\u0120inverted": 37204, "\u0120hastily": 37205, "\u0120Hague": 37206, "Lyn": 37207, "\u0120ledger": 37208, "\u0120astronomical": 37209, "getting": 37210, "\u0120circa": 37211, "\u0120Cic": 37212, "\u0120Tennis": 37213, "Limited": 37214, "\u0120dru": 37215, "\u0120BYU": 37216, "\u0120travellers": 37217, "\u0120pane": 37218, "\u0120Intro": 37219, "\u0120patiently": 37220, "\u0120aiding": 37221, "\u0120loos": 37222, "\u0120Tough": 37223, "\u0120293": 37224, "\u0120consumes": 37225, "SourceFile": 37226, "\u0120\"\"\"": 37227, "\u0120bonding": 37228, "\u0120tilted": 37229, "\u0120menstrual": 37230, "\u0120Celestial": 37231, "ULAR": 37232, "Plugin": 37233, "\u0120risking": 37234, "Naz": 37235, "\u0120Riyadh": 37236, "\u0120accredited": 37237, "\u0120skirm": 37238, "\u00e9\u013d": 37239, "\u0120examiner": 37240, "\u0120messing": 37241, "\u0120nearing": 37242, "\u0120Chern": 37243, "\u0120Beckham": 37244, "\u0120swapped": 37245, "\u0120goose": 37246, "Kay": 37247, "\u0120lofty": 37248, "\u0120Wallet": 37249, "\u0120['": 37250, "\u0120apocalypse": 37251, "\u0120bamboo": 37252, "\u0120SPACE": 37253, "\u0120Elena": 37254, "\u0120306": 37255, "acons": 37256, "\u0120tightened": 37257, "\u0120adolescence": 37258, "\u0120rainy": 37259, "\u0120vandalism": 37260, "\u0120Newtown": 37261, "\u0120conject": 37262, "cakes": 37263, "\u0120cheated": 37264, "\u0120moderators": 37265, "params": 37266, "EFF": 37267, "\u0120deceit": 37268, "\u0120STL": 37269, "\u0120Tanzania": 37270, "\u0120RI": 37271, "\u01201923": 37272, "\u0120Exile": 37273, "thel": 37274, "\u0120theolog": 37275, "\u0120quirky": 37276, "\u0120Irvine": 37277, "\u0120needy": 37278, "oris": 37279, "Um": 37280, "Ka": 37281, "\u0120mailbox": 37282, "322": 37283, "\u0120bos": 37284, "\u0120Petra": 37285, "KING": 37286, "\u0120enlarged": 37287, "Often": 37288, "\u0120badass": 37289, "\u0120343": 37290, "\u0120Places": 37291, "\u0120CAD": 37292, "\u0120pristine": 37293, "\u0120intervening": 37294, "direction": 37295, "\u0120laz": 37296, "\u0120DSM": 37297, "\u0120projecting": 37298, "\u0120Funk": 37299, "agog": 37300, "payment": 37301, "nov": 37302, "\u0120chatter": 37303, "ARB": 37304, "\u0120examinations": 37305, "\u0120Household": 37306, "\u0120Gus": 37307, "Ford": 37308, "414": 37309, "Boss": 37310, "\u0120mystic": 37311, "\u0120leaps": 37312, "\u0120Bav": 37313, "ulz": 37314, "budget": 37315, "Football": 37316, "\u0120subsidized": 37317, "\u0120firsthand": 37318, "\u0120coincide": 37319, "ocular": 37320, "Conn": 37321, "\u0120Collabor": 37322, "\u0120fools": 37323, "amura": 37324, "ahar": 37325, "rists": 37326, "\u0120swollen": 37327, "\u0120expended": 37328, "\u0120Pau": 37329, "sup": 37330, "\u0120spar": 37331, "\u0120keynote": 37332, "suff": 37333, "\u0120unequal": 37334, "\u0120progressing": 37335, "strings": 37336, "\u0120Gamergate": 37337, "Disney": 37338, "\u0120Eleven": 37339, "omnia": 37340, "\u0120scripted": 37341, "\u0120earners": 37342, "brother": 37343, "\u0120Enabled": 37344, "\u00e6\u00b3": 37345, "\u0120larvae": 37346, "\u0120LOC": 37347, "mess": 37348, "Wilson": 37349, "\u0120Template": 37350, "successfully": 37351, "\u0120paramount": 37352, "\u0120camouflage": 37353, "\u0120binds": 37354, "\u0120Quiet": 37355, "\u0120Shutterstock": 37356, "rush": 37357, "\u0120mascot": 37358, "fortune": 37359, "\u0120Colt": 37360, "\u0120Beyon": 37361, "habi": 37362, "\u0120hairc": 37363, "\u0120267": 37364, "\u0120Deus": 37365, "\u0120twitch": 37366, "\u0120concentrating": 37367, "\u0120nipples": 37368, "cible": 37369, "\u0120gir": 37370, "NZ": 37371, "Math": 37372, "nih": 37373, "Required": 37374, "\u0120ponder": 37375, "\u0120SAN": 37376, "\u0120weddings": 37377, "\u0120loneliness": 37378, "NES": 37379, "\u0120Mahjong": 37380, "695": 37381, "addle": 37382, "\u0120Garner": 37383, "\u0120COUR": 37384, "Bridge": 37385, "\u0120spree": 37386, "\u0120Caldwell": 37387, "\u0120bribery": 37388, "\u0120\u00ef\u00bf\u00bd\u00ef\u00bf\u00bd\u00ef\u00bf\u00bd\u00ef\u00bf\u00bd\u00ef\u00bf\u00bd\u00ef\u00bf\u00bd\u00ef\u00bf\u00bd\u00ef\u00bf\u00bd": 37389, "plugins": 37390, "\u0120racket": 37391, "\u0120champagne": 37392, "versible": 37393, "Vote": 37394, "\u0120modifiers": 37395, "Mayor": 37396, "680": 37397, "\u0120assemblies": 37398, "\u0120Sultan": 37399, "\u0120Ning": 37400, "\u0120Ladies": 37401, "\u0120sulfur": 37402, "\u0120orbs": 37403, "\u0120-----": 37404, "_______": 37405, "\u0120Journalism": 37406, "\u0120esports": 37407, "\u0120lush": 37408, "\u0120hue": 37409, "\u0120spectral": 37410, "Honest": 37411, "\u00e3\u0125\u0131": 37412, "\u0120bushes": 37413, "\u0120reinforcement": 37414, "\u0120reopened": 37415, "\u0120Wheels": 37416, "\u0120Morg": 37417, "rieving": 37418, "\u0120auxiliary": 37419, "\u0120jQuery": 37420, "\u0120BAT": 37421, "tesque": 37422, "\u0120vertex": 37423, "pure": 37424, "frey": 37425, "\u00e3\u0124\u00ba": 37426, "dos": 37427, "\u0120typh": 37428, "\u0120cull": 37429, "\u0120eq": 37430, "\u0120decon": 37431, "\u0120tossing": 37432, "\u0120disparate": 37433, "\u0120Brigham": 37434, "printf": 37435, "ledged": 37436, "\u0120sund": 37437, "\u0120cozy": 37438, "\u0120hepatitis": 37439, "performing": 37440, "\u0120aval": 37441, "\u0120GG": 37442, "future": 37443, "\u0120petertodd": 37444, "\u0120Kosovo": 37445, "\u0120magnets": 37446, "Already": 37447, "\u0120Edison": 37448, "\u0120Ceres": 37449, "\u0120RAID": 37450, "\u0120brilliance": 37451, "576": 37452, "\u0120derives": 37453, "\u0120hypertension": 37454, "\u0120\u00ce\u0136": 37455, "\u0120lambda": 37456, "\u0120flair": 37457, "\u0120missionaries": 37458, "\u0120rapes": 37459, "\u0120Starter": 37460, "\u0120Months": 37461, "\u0120defy": 37462, "\u0120seismic": 37463, "\u0120Raphael": 37464, "\u0120eurozone": 37465, "656": 37466, "zsche": 37467, "\u0120scratched": 37468, "\u0120bows": 37469, "\u0120Lennon": 37470, "\u0120Gaia": 37471, "\u0120dripping": 37472, "facts": 37473, "Ale": 37474, "\u0120frogs": 37475, "\u0120Breast": 37476, "ogeneity": 37477, "\u0120Prosecutor": 37478, "\u0120amplified": 37479, "\u0120Hodg": 37480, "\u0120Fn": 37481, "Thousands": 37482, "\u0120NIH": 37483, "\u0120Monitoring": 37484, "FTWARE": 37485, "\u0120Priebus": 37486, "\u0120Growing": 37487, "hunter": 37488, "\u0120diagnose": 37489, "\u0120Mald": 37490, "\u0120LR": 37491, "\u0120crowned": 37492, "\u0120bursting": 37493, "\u0120dissolution": 37494, "javascript": 37495, "\u0120usefulness": 37496, "\u0120Execution": 37497, ":(": 37498, "\u0120Ivory": 37499, "aah": 37500, "\u0120persecuted": 37501, "violence": 37502, "istas": 37503, "\u0120Crate": 37504, "\u0120impulses": 37505, "\u0120Spani": 37506, "edes": 37507, "Handle": 37508, "\u0120Zerg": 37509, "thinkable": 37510, "Lastly": 37511, "\u0120spontaneously": 37512, "\u0120inconvenient": 37513, "\u0120dismissing": 37514, "\u0120plotted": 37515, "\u0120eighty": 37516, "\u0120737": 37517, "rish": 37518, "\u0120Thornton": 37519, "atham": 37520, "\u0120sitcom": 37521, "Ven": 37522, "Recipe": 37523, "tel": 37524, "lund": 37525, "\u0120clears": 37526, "\u0120Sasuke": 37527, "\u0120258": 37528, "\u0120opting": 37529, "\u0120enraged": 37530, "esthetic": 37531, "\u0120Ae": 37532, "uchs": 37533, "Prep": 37534, "Flow": 37535, "\u0120runoff": 37536, "\u0120Eating": 37537, "\u0120Giles": 37538, "\u0120Acting": 37539, "resources": 37540, "ibaba": 37541, "\u0120rpm": 37542, "\u0120skewed": 37543, "\u0120Blanc": 37544, "\u0120Sakuya": 37545, "\u0120hotter": 37546, "\u01201924": 37547, "opian": 37548, "cko": 37549, "\u0120crumbling": 37550, "\u0120captains": 37551, "\u0120Appropriations": 37552, "leaders": 37553, "dropping": 37554, "anuts": 37555, "\u0120reversing": 37556, "\u0120Pose": 37557, "\u0120Sek": 37558, "Scot": 37559, "\u0120Idea": 37560, "cise": 37561, "\u0120Slovenia": 37562, "\u0120317": 37563, "Doctor": 37564, "\u0120crocod": 37565, "aldi": 37566, "Sea": 37567, "\u0120Farrell": 37568, "\u0120mercenaries": 37569, "\u0120RNC": 37570, "\u0120Guess": 37571, "\u0120pacing": 37572, "Machine": 37573, "StreamerBot": 37574, "\u0120Charity": 37575, "\u0120298": 37576, "\u0120cannons": 37577, "\u0120Toby": 37578, "TPPStreamerBot": 37579, "\u0120Passion": 37580, "cfg": 37581, "Thom": 37582, "\u0120badges": 37583, "\u0120Bernstein": 37584, ".\u00e2\u0122\u0135": 37585, "\u0120POP": 37586, "\u0120Conj": 37587, "\u0120initialization": 37588, "\u0120biodiversity": 37589, "Dub": 37590, "\u0120feudal": 37591, "\u0120disclaimer": 37592, "\u0120crow": 37593, "\u0120ignition": 37594, "arf": 37595, "SHA": 37596, "\u0120kHz": 37597, "hazard": 37598, "\u0120Artists": 37599, "oeuv": 37600, "679": 37601, "\u0120Rudy": 37602, "Nine": 37603, "\u0120Ramadan": 37604, "\u00e5\u00bd": 37605, "itto": 37606, "\u0120adrenaline": 37607, "Cert": 37608, "\u0120smelled": 37609, "\u0120impunity": 37610, "\u0120agendas": 37611, "\u0120Reborn": 37612, "\u0120Concent": 37613, "\u0120Seems": 37614, "\u0120omega": 37615, "\u0120Dustin": 37616, "\u0120backer": 37617, "\u0120Sauce": 37618, "\u0120Boyle": 37619, "WIN": 37620, "\u0120spins": 37621, "\u0120pauses": 37622, "upt": 37623, "\u0120shredded": 37624, "\u0120strapped": 37625, "\u0120Corruption": 37626, "\u0120scratches": 37627, "\u0120ni": 37628, "\u0120attire": 37629, "\u0120SAF": 37630, "FactoryReloaded": 37631, "\u0120IPS": 37632, "\u0120(%": 37633, "\u0120seminar": 37634, "focus": 37635, "civil": 37636, "\u01201860": 37637, "intosh": 37638, "\u0120continual": 37639, "\u0120abbrevi": 37640, "\u0120Sok": 37641, "ocobo": 37642, "XM": 37643, "\u0120frantic": 37644, "\u0120unavoidable": 37645, "\u0120artery": 37646, "\u0120annotations": 37647, "bath": 37648, "Climate": 37649, "\u0120dors": 37650, "\u0120Slide": 37651, "coord": 37652, "\u0120Reload": 37653, "\u0120LDL": 37654, "\u0120Lovecraft": 37655, "\u0120unimagin": 37656, "\u0120resembled": 37657, "\u0120barracks": 37658, "np": 37659, "\u0120surrogate": 37660, "\u0120categorized": 37661, "\u00e3\u0124\u00a9": 37662, "\u0120vaccinated": 37663, "\u0120drainage": 37664, "\u0120indist": 37665, "\u0120WhatsApp": 37666, "\u01201870": 37667, "olerance": 37668, "invoke": 37669, "amorph": 37670, "\u0120reconnect": 37671, "\u0120emanc": 37672, "\u0120blindness": 37673, "\u01201280": 37674, "internet": 37675, "collar": 37676, "\u0120altru": 37677, "\u0120abyss": 37678, "\u0120TRI": 37679, "657": 37680, "\u0120infused": 37681, "HEAD": 37682, "\u0120forestry": 37683, "\u0120Woody": 37684, "\u0120Ci": 37685, "wi": 37686, "sam": 37687, "784": 37688, "holiday": 37689, "\u0120mogul": 37690, "\u0120Fees": 37691, "\u0120DEN": 37692, "Internal": 37693, "urbed": 37694, "fusc": 37695, "atom": 37696, "\u0120Illusion": 37697, "\u0120polled": 37698, "\u0120flap": 37699, "\u0120coax": 37700, "LGBT": 37701, "Analy": 37702, "\u0120Sections": 37703, "\u0120Californ": 37704, "emn": 37705, "\u0120hither": 37706, "\u0120NIGHT": 37707, "\u0120nailed": 37708, "\u0120Pipeline": 37709, "391": 37710, "oof": 37711, "\u0120Primal": 37712, "verend": 37713, "\u0120slashing": 37714, "\u0120retri": 37715, "aviour": 37716, "\u0120departing": 37717, "gil": 37718, "ISC": 37719, "\u0120midway": 37720, "\u0120ultrasound": 37721, "\u0120behaving": 37722, "\u0120Tara": 37723, "classes": 37724, "Virtual": 37725, "\u0120Colonial": 37726, "\u0120stripping": 37727, "\u0120orchestrated": 37728, "\u0120Graves": 37729, "452": 37730, "\u0120Ironically": 37731, "\u0120Writers": 37732, "\u0120lends": 37733, "\u0120Manz": 37734, "\u0120raven": 37735, "\u0120oxidative": 37736, "\u0120266": 37737, "ELF": 37738, "actually": 37739, "ascar": 37740, "Draft": 37741, "\u0120favourable": 37742, "\u0120humiliating": 37743, "\u0120fidelity": 37744, "\u0120Hof": 37745, "\u0120Xuan": 37746, "496": 37747, "\u0120layered": 37748, "atis": 37749, "790": 37750, "\u0120paycheck": 37751, "iton": 37752, "Kar": 37753, "\u0120VMware": 37754, "\u0120Farmer": 37755, "\u0120servic": 37756, "glomer": 37757, "\u0120slump": 37758, "\u0120Fabric": 37759, "\u0120DOC": 37760, "esting": 37761, "\u0120reassure": 37762, "\u0120phyl": 37763, "volt": 37764, "itory": 37765, "Rules": 37766, "\u0120oxidation": 37767, "\u0120prized": 37768, "\u0120mistress": 37769, "\u0120Django": 37770, "WARN": 37771, "\u00e5\u0133": 37772, "\u0120encode": 37773, "\u0120Feedback": 37774, "\u0120stupidity": 37775, "Ian": 37776, "\u0120Yugoslavia": 37777, "\u00d7\u00a8": 37778, "acl": 37779, "UTE": 37780, "1977": 37781, "\u0120qualifies": 37782, "\u0120pulses": 37783, "pretty": 37784, "\u0120froze": 37785, "\u0120ss": 37786, "Iterator": 37787, "\u0120urgently": 37788, "\u0120mailed": 37789, "\u0120Cham": 37790, "\u0120sustaining": 37791, "\u0120basil": 37792, "\u0120puppies": 37793, "ilant": 37794, "\u0120PLEASE": 37795, "lap": 37796, "aceous": 37797, "Fear": 37798, "\u0120Mastery": 37799, "automatic": 37800, "\u0120TAG": 37801, "\u0120antim": 37802, "agles": 37803, "473": 37804, "frames": 37805, "\u0120whispers": 37806, "\u0120Whoever": 37807, "\u0120bravery": 37808, "\u0120UKIP": 37809, "ractions": 37810, "\"\"\"": 37811, "\u0120tame": 37812, "\u0120parted": 37813, "everything": 37814, "CONT": 37815, "\u0120indebted": 37816, "\u0120addr": 37817, "rek": 37818, "IRED": 37819, "\u0120eminent": 37820, "clinton": 37821, "\u0120ousted": 37822, "\u0120reviewer": 37823, "\u0120meltdown": 37824, "\u0120rearr": 37825, "\u0120Yao": 37826, "thereal": 37827, "abyte": 37828, "\u0120stumbling": 37829, "\u0120batches": 37830, "\u0120259": 37831, "\u0120contraceptive": 37832, "\u0120prostitute": 37833, "ensis": 37834, "Decl": 37835, "\u0120Strikes": 37836, "Military": 37837, "\u0120Oath": 37838, "vacc": 37839, "ppings": 37840, "052": 37841, "\u0120partName": 37842, "amping": 37843, "Reports": 37844, "KI": 37845, "CHR": 37846, "\u0120subtly": 37847, "swers": 37848, "Blake": 37849, "usual": 37850, "\u0120contestants": 37851, "\u0120cartridges": 37852, "\u0120GREAT": 37853, "\u0120blush": 37854, "\u0120\u00e2\u0122\u00ba": 37855, "472": 37856, "\u0120reasoned": 37857, "\u00e3\u0125\u00a4": 37858, "paralleled": 37859, "\u0120dyn": 37860, "agate": 37861, "\u0120nightly": 37862, "\u00e5\u0128": 37863, "556": 37864, "\u0120semantic": 37865, "\u0120Advoc": 37866, "\u0120!!": 37867, "\u0120disagrees": 37868, "\u0120BW": 37869, "Veh": 37870, "\u0120harming": 37871, "\u0120embraces": 37872, "\u0120strives": 37873, "\u0120inland": 37874, "\u0120Kard": 37875, "\u0120heats": 37876, "\u0120Ginny": 37877, "utan": 37878, "ernaut": 37879, "ylene": 37880, "\u0120Elev": 37881, "JD": 37882, "\u0120hars": 37883, "\u0120Starr": 37884, "\u0120skysc": 37885, "\u0120collaborators": 37886, "Usually": 37887, "\u0120revolutions": 37888, "\u0120STATS": 37889, "\u0120dismantle": 37890, "\u0120confidently": 37891, "\u0120kinetic": 37892, "Ali": 37893, "\u0120percentile": 37894, "\u0120extracting": 37895, "illian": 37896, "estead": 37897, "\u0120physicists": 37898, "\u0120Marshal": 37899, "\u0120fellowship": 37900, "\u0120dashed": 37901, "\u0120UR": 37902, "\u0120Sioux": 37903, "\u0120Compact": 37904, "amide": 37905, "Python": 37906, "\u0120Leigh": 37907, "\u0120Pharmac": 37908, "istrates": 37909, "herical": 37910, "\u0120fue": 37911, "\u0120Emin": 37912, "\u0120({": 37913, "\u0120Neighborhood": 37914, "\u0120disrupting": 37915, "\u0120Dup": 37916, "\u0120gland": 37917, "\u0120Sev": 37918, "\u0120Marian": 37919, "argon": 37920, "\u0120Dund": 37921, "\u0120": 46904, "\u0120Philips": 46905, "\u0120Kafka": 46906, "\u0120upheaval": 46907, "\u0120sentimental": 46908, "\u0120sax": 46909, "\u0120Akira": 46910, "serial": 46911, "Matrix": 46912, "\u0120electing": 46913, "\u0120commenter": 46914, "\u0120Nebula": 46915, "plets": 46916, "\u0120Nadu": 46917, "\u0120Adren": 46918, "\u0120enshr": 46919, "\u0120RAND": 46920, "financial": 46921, "\u0120Clyde": 46922, "utherford": 46923, "\u0120signage": 46924, "\u0120deline": 46925, "\u0120phosphate": 46926, "roversial": 46927, "fascist": 46928, "\u0120Vall": 46929, "\u0120Bethlehem": 46930, "\u0120fors": 46931, "\u0120english": 46932, "Solid": 46933, "Nature": 46934, "\u0120va": 46935, "\u0120Guests": 46936, "\u0120tantal": 46937, "\u0120autoimmune": 46938, ";;;;;;;;;;;;": 46939, "\u0120Totally": 46940, "\u0120Ov": 46941, "\u0120defences": 46942, "\u0120Coconut": 46943, "\u0120tranquil": 46944, "\u0120ploy": 46945, "\u0120flavours": 46946, "\u0120Flask": 46947, "\u00e3\u0124\u00a8\u00e3\u0125\u00ab": 46948, "\u0120Weston": 46949, "\u0120Volvo": 46950, "870": 46951, "\u0120microphones": 46952, "verbal": 46953, "RPG": 46954, "\u0120iii": 46955, ";}": 46956, "028": 46957, "\u0120headlined": 46958, "\u0120primed": 46959, "\u0120hoard": 46960, "\u0120Shad": 46961, "\u0120ENTER": 46962, "\u0120triangular": 46963, "\u0120capit": 46964, "lik": 46965, "\u0120Ancients": 46966, "\u0120lash": 46967, "\u0120convol": 46968, "\u0120colonel": 46969, "enemy": 46970, "Gra": 46971, "\u0120pubs": 46972, "utters": 46973, "\u0120assigns": 46974, "\u0120Penet": 46975, "\u0120Monstrous": 46976, "\u0120Bowen": 46977, "ilver": 46978, "Haunted": 46979, "\u0120Ding": 46980, "started": 46981, "plin": 46982, "\u0120contaminants": 46983, "\u0120DOE": 46984, "ffen": 46985, "\u0120Technician": 46986, "Ry": 46987, "\u0120robbers": 46988, "\u0120hotline": 46989, "\u0120Guardiola": 46990, "\u0120Kaufman": 46991, "rower": 46992, "\u0120Dresden": 46993, "\u0120Alpine": 46994, "Elf": 46995, "\u0120fmt": 46996, "\u0120Sard": 46997, "urses": 46998, "gpu": 46999, "Unix": 47000, "\u0120unequivocally": 47001, "\u0120Citizenship": 47002, "quad": 47003, "mire": 47004, "\u0120Sweeney": 47005, "Battery": 47006, "615": 47007, "\u0120pancakes": 47008, "\u0120oats": 47009, "Maps": 47010, "\u0120Contrast": 47011, "mbudsman": 47012, "\u0120EPS": 47013, "\u0120subcommittee": 47014, "\u0120sourcing": 47015, "\u0120sizing": 47016, "\u0120Buffer": 47017, "\u0120Mandatory": 47018, "\u0120moderates": 47019, "\u0120Patterns": 47020, "\u0120Chocobo": 47021, "\u0120Zan": 47022, "\u0120STATES": 47023, "\u0120Judging": 47024, "\u0120Inher": 47025, "*:": 47026, "\u0120bil": 47027, "\u0120Yen": 47028, "\u0120exhilar": 47029, "ollower": 47030, "zers": 47031, "\u0120snug": 47032, "maximum": 47033, "\u0120despicable": 47034, "\u0120PACK": 47035, "\u0120Annex": 47036, "\u0120sarcastic": 47037, "\u0120latex": 47038, "\u0120tamp": 47039, "\u0120Sao": 47040, "bah": 47041, "\u0120Reverend": 47042, "\u0120Chinatown": 47043, "\u0120AUT": 47044, "documented": 47045, "\u0120GABA": 47046, "\u0120Canaan": 47047, "\u0120\u00d9\u0127": 47048, "\u0120governs": 47049, "prev": 47050, "Esc": 47051, "\u0120Estimates": 47052, "OSP": 47053, "\u0120endeavour": 47054, "\u0120Closing": 47055, "ometime": 47056, "everyone": 47057, "\u0120worsen": 47058, "\u0120scanners": 47059, "\u0120deviations": 47060, "\u0120Robotics": 47061, "\u0120Compton": 47062, "\u0120sorcerer": 47063, "\u0120endogenous": 47064, "\u0120emulation": 47065, "\u0120Piercing": 47066, "\u0120Aph": 47067, "\u0120Socket": 47068, "\u0120bould": 47069, "\u0120OU": 47070, "\u0120Borderlands": 47071, "\u01201863": 47072, "Gordon": 47073, "\u0120WTO": 47074, "\u0120restricts": 47075, "\u0120mosaic": 47076, "\u0120melodies": 47077, "\u00e7\u0126": 47078, "Tar": 47079, "\u0120disson": 47080, "\u0120Provides": 47081, "\u0120......": 47082, "bek": 47083, "FIX": 47084, "\u0120broom": 47085, "anship": 47086, "Doctors": 47087, "\u0120nerds": 47088, "\u0120Regions": 47089, "naissance": 47090, "\u0120mete": 47091, "\u0120crept": 47092, "plings": 47093, "\u0120girlfriends": 47094, "knit": 47095, "igent": 47096, "owe": 47097, "\u0120ushered": 47098, "\u0120Baz": 47099, "Mobil": 47100, "434": 47101, "\u0120Presents": 47102, "origin": 47103, "\u0120insomnia": 47104, "\u0120Aux": 47105, "439": 47106, "\u0120Chili": 47107, "irsch": 47108, "GAME": 47109, "\u0120gestation": 47110, "algia": 47111, "romising": 47112, "$,": 47113, "crow": 47114, "\u0120Inspection": 47115, "atomic": 47116, "Relations": 47117, "JOHN": 47118, "roman": 47119, "\u0120Clockwork": 47120, "\u0120Bakr": 47121, "mone": 47122, "MET": 47123, "\u0120thirsty": 47124, "\u0120bc": 47125, "\u0120faculties": 47126, "Rum": 47127, "\u0120nuance": 47128, "\u0120Darius": 47129, "pleting": 47130, "fters": 47131, "etchup": 47132, "Registration": 47133, "\u0120KE": 47134, "Rah": 47135, "\u0120preferential": 47136, "\u0120Lash": 47137, "\u0120HH": 47138, "Valid": 47139, "\u0120NAV": 47140, "\u0120starve": 47141, "\u0120Gong": 47142, "zynski": 47143, "\u0120Actress": 47144, "\u0120wik": 47145, "\u0120unaccompanied": 47146, "lvl": 47147, "Bride": 47148, "ADS": 47149, "\u0120Commando": 47150, "\u0120Vaughn": 47151, "Wallet": 47152, "\u0120hopping": 47153, "\u0120Vie": 47154, "\u0120caveats": 47155, "\u0120alas": 47156, "ifled": 47157, "abuse": 47158, "661": 47159, "\u0120ibn": 47160, "\u0120gul": 47161, "\u0120robbing": 47162, "til": 47163, "ILA": 47164, "\u0120mitigating": 47165, "\u0120aptly": 47166, "\u0120tyrant": 47167, "\u0120midday": 47168, "\u0120Gilmore": 47169, "\u0120Decker": 47170, "\u0120\u00c2\u00a7\u00c2\u00a7": 47171, "partial": 47172, "Exactly": 47173, "\u0120phenotype": 47174, "\u0120[+]": 47175, "\u0120Plex": 47176, "\u0120Ips": 47177, "versions": 47178, "\u0120ebook": 47179, "\u0120chic": 47180, "gross": 47181, "\":\"\"},{\"": 47182, "\u0120Surprisingly": 47183, "Morgan": 47184, "\u0120residues": 47185, "\u0120Confederation": 47186, "infeld": 47187, "\u0120lyr": 47188, "moderate": 47189, "\u0120perpendicular": 47190, "VK": 47191, "\u0120synchronized": 47192, "\u0120refreshed": 47193, "\u0120adore": 47194, "\u0120Torment": 47195, "olina": 47196, "\u01202600": 47197, "ItemTracker": 47198, "\u0120pies": 47199, "\u0120FAT": 47200, "\u0120RHP": 47201, "048": 47202, "\u0120RESP": 47203, "\u0120BJ": 47204, "allows": 47205, "Pand": 47206, "\u0120unwelcome": 47207, "\u0120Voc": 47208, "\u0120Bastard": 47209, "\u0120OW": 47210, "\u0120LAR": 47211, "\u0120Healer": 47212, "Environmental": 47213, "\u0120Kenyan": 47214, "\u0120Trance": 47215, "\u0120Pats": 47216, "\u0120aliases": 47217, "\u0120Garfield": 47218, "\u0120campaigner": 47219, "\u0120advancements": 47220, "\u0120Okinawa": 47221, "\u0120Coh": 47222, "owsky": 47223, "\u0120starved": 47224, "\u0120sizeable": 47225, "\u0120:-)": 47226, "\u0120mRNA": 47227, "\u0120suspensions": 47228, "istar": 47229, "Scotland": 47230, "Prin": 47231, "------------------------------------------------": 47232, "\u0120502": 47233, "\u0120teaspoons": 47234, "\u01201050": 47235, "\u0120coercive": 47236, "\u0120Masonic": 47237, "edded": 47238, "\u0120Passenger": 47239, "\u0120latt": 47240, "\u0120braces": 47241, "\u0120Steal": 47242, "\u0120NYT": 47243, "\u0120Kats": 47244, "\u0120Celest": 47245, "aez": 47246, "Tu": 47247, "\u0120Coulter": 47248, "\u00f0\u0141\u013a": 47249, "Flickr": 47250, "\u0120Wilmington": 47251, "iths": 47252, "++;": 47253, "\u0120vending": 47254, "\u0120negro": 47255, "\u0120Phi": 47256, "\u0120Yellowstone": 47257, "Callback": 47258, "\u0120shampoo": 47259, "\u0120Shades": 47260, "wat": 47261, "\u0120superhuman": 47262, "\u0120ridiculed": 47263, "\u0120holiest": 47264, "ombo": 47265, "\u0120interns": 47266, "\u0120hone": 47267, "\u0120Paragu": 47268, "URI": 47269, "\u0120dangling": 47270, "\u00e3\u0124\u00bb": 47271, "sov": 47272, "ictional": 47273, "availability": 47274, "\u0120revocation": 47275, "\u0120dow": 47276, "inic": 47277, "\u0120THEIR": 47278, "\u0120iso": 47279, "\u0120outings": 47280, "\u0120Lethal": 47281, "\u0120)))": 47282, "\u0120inaccur": 47283, "\u0120outlandish": 47284, "\u0120anus": 47285, "letico": 47286, "idon": 47287, "lol": 47288, "\u0120unregulated": 47289, "\u0120succumbed": 47290, "\u0120cuff": 47291, "\u0120Wasteland": 47292, "letal": 47293, "\u0120substr": 47294, "\u0120coffers": 47295, "\u0120automakers": 47296, "ovi": 47297, "\u0120Xue": 47298, "\u0120Daytona": 47299, "\u0120jarring": 47300, "\u0120fumes": 47301, "\u0120disbanded": 47302, "zik": 47303, "itton": 47304, "\u0120strikingly": 47305, "\u0120spores": 47306, "Adapter": 47307, ".):": 47308, "\u0120Lyndon": 47309, "ivalry": 47310, "\u0120orally": 47311, "\u0120tumultuous": 47312, "\u0120displeasure": 47313, "\u0120cones": 47314, "orrect": 47315, "\u0120appease": 47316, "\u0120derby": 47317, "\u0120Tripoli": 47318, "\u0120Aless": 47319, "\u0120poked": 47320, "\u0120Guilty": 47321, "vP": 47322, "Enough": 47323, "\u0120originals": 47324, "699": 47325, "\u0120rabbi": 47326, "\u0120proverbial": 47327, "\u0120postpone": 47328, "elope": 47329, "\u0120Misty": 47330, "\u0120staffed": 47331, "\u0120Unemployment": 47332, "reditary": 47333, "\u0120diligent": 47334, "recomm": 47335, "measures": 47336, "asin": 47337, "825": 47338, "\u0120ponds": 47339, "\u0120mmol": 47340, "\u0120SAR": 47341, "\u0120CARE": 47342, "\u0120371": 47343, "\u0120clenched": 47344, "\u0120Corsair": 47345, "\u0120caricature": 47346, "zn": 47347, "attach": 47348, "\u0120Schro": 47349, "speak": 47350, "painted": 47351, "\u0120Suc": 47352, "\u0120ENT": 47353, "\u0120cellul": 47354, "\u0120Paid": 47355, "diagn": 47356, "WHERE": 47357, "\u0120texted": 47358, "Barn": 47359, "\u0120retracted": 47360, "\u0120Referred": 47361, "Sav": 47362, "\u0120upkeep": 47363, "\u0120workplaces": 47364, "\u0120Tokens": 47365, "\u0120amplify": 47366, "clinical": 47367, "\u0120multic": 47368, "mberg": 47369, "\u0120convoluted": 47370, "Region": 47371, "565": 47372, "\u0120Topic": 47373, "\u0120snail": 47374, "\u0120saline": 47375, "\u0120insurrection": 47376, "\u0120Petr": 47377, "forts": 47378, "BAT": 47379, "\u0120Navajo": 47380, "\u0120rudimentary": 47381, "\u0120Laksh": 47382, "ONDON": 47383, "Measure": 47384, "\u0120transformer": 47385, "\u0120Goddard": 47386, "\u0120coincides": 47387, "irin": 47388, "Rex": 47389, "\u0120Bok": 47390, "quit": 47391, "\u0120shotguns": 47392, "\u0120proletarian": 47393, "\u0120scorp": 47394, "\u0120Ada": 47395, "514": 47396, "\u0120slander": 47397, "recorded": 47398, "\u0120embell": 47399, "risome": 47400, "\u0120apologizing": 47401, "\u0120Mulcair": 47402, "\u0120Gibraltar": 47403, "Cla": 47404, "\u0120allot": 47405, "\u0120Attention": 47406, "\u0120433": 47407, "leave": 47408, "\u0120whine": 47409, "\u0120Issa": 47410, "\u0120Faust": 47411, "\u0120Barron": 47412, "heny": 47413, "\u0120victimized": 47414, "Jews": 47415, "\u0120nurturing": 47416, "ettel": 47417, "Winged": 47418, "\u0120Subtle": 47419, "\u0120flavorful": 47420, "\u0120Reps": 47421, "enged": 47422, "callback": 47423, "\u0120directional": 47424, "\u0120clasp": 47425, "\u0120Directions": 47426, "planet": 47427, "iculture": 47428, "Helper": 47429, "icion": 47430, "acia": 47431, "\u0120\u00e7\u00a5\u0140": 47432, "\u0120surges": 47433, "\u0120canoe": 47434, "\u0120Premiership": 47435, "been": 47436, "\u0120defied": 47437, "\u0120Trooper": 47438, "\u0120tripod": 47439, "\u0120gasp": 47440, "\u0120Euph": 47441, "\u0120Ads": 47442, "vernight": 47443, "highly": 47444, "Role": 47445, "\u0120entangled": 47446, "\u0120Zeit": 47447, "618": 47448, "\u0120Rusty": 47449, "\u0120havens": 47450, "\u0120Vaughan": 47451, "HAEL": 47452, "\u0120SERVICE": 47453, "/,": 47454, "\u0120stricken": 47455, "\u0120delusions": 47456, "\u0120bis": 47457, "\u0120Haf": 47458, "\u0120gratification": 47459, "\u0120enticing": 47460, "UNCH": 47461, "Adams": 47462, "\u0120OLED": 47463, "\u0120Beetle": 47464, "\u01201899": 47465, "\u0120SOFTWARE": 47466, "ategor": 47467, "VL": 47468, "\u0120Totem": 47469, "\u0120Gators": 47470, "ATURES": 47471, "\u0120impedance": 47472, "Registered": 47473, "\u0120Cary": 47474, "\u0120Aerial": 47475, "onne": 47476, "enium": 47477, "\u0120dred": 47478, "\u0120Beg": 47479, "\u0120concurrently": 47480, "\u0120superpower": 47481, "\u0120Xan": 47482, "jew": 47483, "imester": 47484, "\u0120Dickinson": 47485, "\u00e2\u0136\u0123": 47486, "Fla": 47487, "\u0120pree": 47488, "\u0120Rollins": 47489, "\u00a9\u00b6\u00e6": 47490, "\u0120denomination": 47491, "\u0120Lana": 47492, "516": 47493, "\u0120inciting": 47494, "scribed": 47495, "juries": 47496, "\u0120Wonders": 47497, "approximately": 47498, "\u0120suspending": 47499, "\u0120mountainous": 47500, "\u0120Laugh": 47501, "oidal": 47502, "Ns": 47503, "Detect": 47504, ")=": 47505, "\u0120Luthor": 47506, "\u0120Schwarzenegger": 47507, "\u0120Muller": 47508, "\u0120Devi": 47509, "ecycle": 47510, "Jar": 47511, "613": 47512, "\u0120Longh": 47513, "Bah": 47514, "\u0120SPORTS": 47515, "nw": 47516, "\u0120refinement": 47517, "\u0120waterways": 47518, "\u0120diner": 47519, "Blade": 47520, "683": 47521, "Fac": 47522, "\u0120initials": 47523, "\u0120rog": 47524, "\u0120paranormal": 47525, "BUT": 47526, "\u0120[(": 47527, "\u0120Swanson": 47528, "\u0120Mesh": 47529, "\u00e2\u0138\u00ac": 47530, "Improve": 47531, "\u0120Radiation": 47532, "\u0120Esther": 47533, "\u0120Esk": 47534, "\u0120Aly": 47535, "iky": 47536, "\u0120irrad": 47537, "\u0120Buckingham": 47538, "\u0120refill": 47539, "\u0120._": 47540, "Repe": 47541, "CONCLUS": 47542, "\u0120differentiated": 47543, "\u0120chirop": 47544, "\u0120Atkins": 47545, "Pattern": 47546, "\u0120excise": 47547, "\u0120cabal": 47548, "NSA": 47549, "\u0120STA": 47550, "\u0120SIL": 47551, "\u0120Paraly": 47552, "\u0120rye": 47553, "\u0120Howell": 47554, "\u0120Countdown": 47555, "nesses": 47556, "alysed": 47557, "\u0120resize": 47558, "\u00e3\u0124\u00bd": 47559, "\u0120budgetary": 47560, "\u0120Stras": 47561, "wang": 47562, "\u0120apiece": 47563, "\u0120precincts": 47564, "\u0120peach": 47565, "\u0120skyline": 47566, "\u0120353": 47567, "popular": 47568, "Appearances": 47569, "\u0120Mechanics": 47570, "\u0120DevOnline": 47571, "Sullivan": 47572, "Zen": 47573, "\u0120pu": 47574, "opolis": 47575, "544": 47576, "\u0120deform": 47577, "\u0120counteract": 47578, "\u0120Lange": 47579, "\u0120417": 47580, "Console": 47581, "774": 47582, "\u0120nodding": 47583, "\u0120populism": 47584, "\u0120hep": 47585, "\u0120counselling": 47586, "compliance": 47587, "UFF": 47588, "\u0120undeniably": 47589, "\u0120railing": 47590, "\u0120Horowitz": 47591, "\u0120Simone": 47592, "\u0120Bungie": 47593, "\u0120ak": 47594, "\u0120Talks": 47595, "xff": 47596, "flake": 47597, "Crash": 47598, "\u0120sweaty": 47599, "\u0120banquet": 47600, "\u0120OFFIC": 47601, "\u0120inventive": 47602, "\u0120astronomer": 47603, "\u0120Stamford": 47604, "\u0120Scare": 47605, "\u0120GREEN": 47606, "olicited": 47607, "\u0120rusher": 47608, "\u0120centrist": 47609, "ighting": 47610, "\u0120subclass": 47611, "\u0120disav": 47612, "\u0120defund": 47613, "\u0120Nanto": 47614, "ociate": 47615, "mast": 47616, "\u0120pacif": 47617, "\u0120mend": 47618, "eers": 47619, "immigration": 47620, "ESSION": 47621, "\u0120numbering": 47622, "\u0120laughable": 47623, "\u0120Ended": 47624, "viation": 47625, "emark": 47626, "Pitt": 47627, "\u0120meticulous": 47628, "\u0120LF": 47629, "\u0120congratulated": 47630, "\u0120Birch": 47631, "\u0120swayed": 47632, "\u0120semifinals": 47633, "\u0120humankind": 47634, "matter": 47635, "\u0120Equip": 47636, "opausal": 47637, "Said": 47638, "\u0120Layout": 47639, "\u0120voicing": 47640, "\u0120thug": 47641, "\u0120pornographic": 47642, "IPS": 47643, "\u0120moaning": 47644, "\u0120grievance": 47645, "\u0120confessions": 47646, "escal": 47647, "TEXTURE": 47648, "Authent": 47649, "osaurus": 47650, "Purchase": 47651, "\u0120relegation": 47652, "alter": 47653, "\u0120\u00c2\u0142\u00c2\u0142": 47654, "\u0120riddled": 47655, "\u0120ogre": 47656, "\u0120Lowell": 47657, "Occup": 47658, "Eat": 47659, "\u0120Hyder": 47660, "\u0120Adviser": 47661, "Commerce": 47662, "Hunt": 47663, "\u0120Orth": 47664, "\u0120Competitive": 47665, "\u0120CLA": 47666, "CDC": 47667, "\u0120salads": 47668, "Fle": 47669, "\u0120industrialized": 47670, "`,": 47671, "\u0120OWN": 47672, "\u0120beck": 47673, "\u0120Particularly": 47674, "oubt": 47675, "\u0120mM": 47676, "\u0120Hussain": 47677, "\u0120Chennai": 47678, "\u0120920": 47679, "\u0120appointing": 47680, "\u0120Cullen": 47681, ",,,,,,,,": 47682, "\u0120pores": 47683, "verified": 47684, "\u0120biochemical": 47685, "emate": 47686, "\u0120cowardly": 47687, "\u0120Helsinki": 47688, "\u0120Ethiopian": 47689, "SOURCE": 47690, "ERC": 47691, "estro": 47692, "\u0120biotech": 47693, "\u0120Sour": 47694, "\u0120brewer": 47695, "Bloomberg": 47696, "\u0120intensify": 47697, "Glass": 47698, "anco": 47699, "\u0120FDR": 47700, "greSQL": 47701, "\u0120Fires": 47702, "\u00a9\u00b6\u00e6\u00a5\u00b5": 47703, "eco": 47704, "1001": 47705, "\u0120Homeless": 47706, "\u0120instantaneous": 47707, "\u0120Haste": 47708, "igel": 47709, "Diamond": 47710, "\u0120paving": 47711, "\u0120landfill": 47712, "\u0120dads": 47713, "houn": 47714, ":]": 47715, "\u0120incendiary": 47716, "\u0120Livingston": 47717, "\u0120Hilbert": 47718, "\u0120Checks": 47719, "styles": 47720, "inators": 47721, "\u0120Clive": 47722, "phrine": 47723, "\u0120chimpanzees": 47724, "\u0120pall": 47725, "\u0120JM": 47726, "\u0120Aadhaar": 47727, "\u00f0\u013f": 47728, "\u0120achievable": 47729, "disabled": 47730, "PET": 47731, "OOOOOOOO": 47732, "Mot": 47733, "\u0120intangible": 47734, "\u0120ballet": 47735, "\u0120Webs": 47736, "\u0120Estimated": 47737, "Effects": 47738, "\u0120bailed": 47739, "Joshua": 47740, "\u0120turbulence": 47741, "\u0120occupant": 47742, "\u0120Daylight": 47743, "\u0120361": 47744, "meet": 47745, "\u0120statically": 47746, "\u0120onlook": 47747, "\u0120ki": 47748, "illegal": 47749, "\u0120velvet": 47750, "\u0120dehydration": 47751, "\u0120acquies": 47752, "\u0120Rez": 47753, "akura": 47754, "\u0120Upton": 47755, "atro": 47756, "\u0120incomprehensible": 47757, "\u0120backdoor": 47758, "\u0120Rhino": 47759, "727": 47760, "\u0120maths": 47761, ")+": 47762, "\u0120heresy": 47763, "\u0120df": 47764, "\u0120Roche": 47765, "\u0120Lydia": 47766, "\u0120pancreat": 47767, "reply": 47768, "arrell": 47769, "\u0120solicitation": 47770, "\u0120circadian": 47771, "BIP": 47772, "\u0120foray": 47773, "\u0120cryptic": 47774, "izu": 47775, "imeo": 47776, "\u0120Tomato": 47777, "\u0120Homs": 47778, "examination": 47779, "\u0120quarry": 47780, "\u0120Valiant": 47781, "\u0120Jericho": 47782, "\u0120INCLUD": 47783, "\u01201840": 47784, "519": 47785, "\u0120resists": 47786, "\u0120snapshots": 47787, "\u0120Spur": 47788, "\u0120Antiqu": 47789, "Login": 47790, "\u0120bestselling": 47791, "\u0120antic": 47792, "\u0120Sutherland": 47793, "\u00e3\u0124\u00a2\u00e3\u0125\u00ab": 47794, "\u0120~/": 47795, "\u0120Parm": 47796, "\u00e8\u0125": 47797, "Pages": 47798, "intensity": 47799, "\u0120immobil": 47800, "\u01201865": 47801, "zzo": 47802, "\u0120nifty": 47803, "\u0120fentanyl": 47804, 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47852, "FOX": 47853, "\u0120Thro": 47854, "\u0120rusty": 47855, "\u0120bedrock": 47856, "\u0120Oprah": 47857, "JB": 47858, "\u0120manipulative": 47859, "\u0120willful": 47860, "\u0120relapse": 47861, "\u0120extant": 47862, "Theme": 47863, "Sensor": 47864, "\u0120Stability": 47865, "govern": 47866, "\u0120poppy": 47867, "\u0120knack": 47868, "\u0120insulated": 47869, "\u0120Tile": 47870, "\u0120Extrem": 47871, "\u0120untold": 47872, "\u0120converge": 47873, "\u0120refuel": 47874, "igroup": 47875, "\u0120distortions": 47876, "\u0120ravaged": 47877, "\u0120mechanically": 47878, "\u0120Reilly": 47879, "\u0120Nose": 47880, "\u0120Incarnation": 47881, "\u0120Becky": 47882, "abbling": 47883, "\u0120taco": 47884, "\u0120rake": 47885, "\u0120melancholy": 47886, "\u0120illustrious": 47887, "\u0120Dartmouth": 47888, "Guide": 47889, "\u0120Razer": 47890, "\u0120Benz": 47891, "Ultimate": 47892, "\u0120Surprise": 47893, "\u0120pageant": 47894, "offer": 47895, "Whoever": 47896, "\u0120wiser": 47897, "\u0120chemist": 47898, "\u0120HELL": 47899, "\u0120Bulk": 47900, "\u0120plutonium": 47901, "\u0120COVER": 47902, "\u00d6\u00bc": 47903, "failed": 47904, "\u0120tirelessly": 47905, "\u0120infertility": 47906, "\u0120Trident": 47907, "\u0120Showtime": 47908, "\u0120Civ": 47909, "Vice": 47910, "requires": 47911, "ittance": 47912, "\u0120uncontrolled": 47913, "interesting": 47914, "561": 47915, "\u0120innovate": 47916, "ategic": 47917, "Lie": 47918, "\u0120Selling": 47919, "Ul": 47920, "\u0120savior": 47921, "\u0120Tosh": 47922, "\u0120swast": 47923, "PASS": 47924, "\u0120rink": 47925, "\u0120cardio": 47926, "\u0120Iro": 47927, "udi": 47928, "\u0120vantage": 47929, "\u0120vans": 47930, "\u0120Ni\u00c3\u00b1o": 47931, "+=": 47932, "\u0120propagate": 47933, "": 49029, "\u0120leukemia": 49030, "\u0120eluc": 49031, "\u0120announcer": 49032, "\u0120Lithuan": 49033, "\u0120Armageddon": 49034, "\u00e5\u0129": 49035, "Lenin": 49036, "\u0120Ruk": 49037, "\u0120pepp": 49038, "\u0120Romantic": 49039, "\u0120PIT": 49040, "\u0120Interstellar": 49041, "\u0120Atkinson": 49042, "Raid": 49043, "Js": 49044, "Goal": 49045, "Course": 49046, "\u0120vanishing": 49047, "esley": 49048, "\u0120Rounds": 49049, "Elsa": 49050, "593": 49051, "\u0120redundancy": 49052, "\u0120STAND": 49053, "\u0120prophetic": 49054, "\u0120habitable": 49055, "ryu": 49056, "\u0120faintly": 49057, "MODE": 49058, "\u0120flanked": 49059, "IRC": 49060, "Awesome": 49061, "\u0120spurious": 49062, "\u0120Zah": 49063, "\u0120MSG": 49064, "\u0120shading": 49065, "\u0120motivational": 49066, "\u0120Santana": 49067, "\u0120SPR": 49068, "\u0120excruciating": 49069, "omial": 49070, "\u0120Miko": 49071, "\u0120Leopard": 49072, "Abyss": 49073, "\u0120[|": 49074, "dirty": 49075, "\u0120baths": 49076, "\u0120demoral": 49077, "andre": 49078, "PB": 49079, "\u0120unification": 49080, "\u0120sacrament": 49081, "\u0120[&": 49082, "\u0120priceless": 49083, "\u0120gelatin": 49084, "\u0120emanating": 49085, "\u0120Allaah": 49086, "986": 49087, "\u0120outburst": 49088, "\u0120eras": 49089, "\u0120XVI": 49090, "\u0120SPI": 49091, "Ott": 49092, "\u0120Lazarus": 49093, "PLIED": 49094, "Flying": 49095, "blogs": 49096, "Wisconsin": 49097, "Raven": 49098, "\u0120rebate": 49099, "\u0120creeps": 49100, "\u0120Span": 49101, "\u0120Painter": 49102, "\u0120Kira": 49103, "\u0120Amos": 49104, "\u0120Corvette": 49105, "Consumer": 49106, "\u0120Recover": 49107, "cki": 49108, "\u0120pesky": 49109, "\u0120Invention": 49110, "Companies": 49111, "\u0120challengers": 49112, "ademic": 49113, "\u0120Ukrainians": 49114, "\u0120Neurolog": 49115, "\u0120Forsaken": 49116, "\u0120entrants": 49117, "\u0120embattled": 49118, "\u0120defunct": 49119, "\u0120Glacier": 49120, "\u0120poisons": 49121, "\u0120Horses": 49122, "makes": 49123, "\u0120Dirt": 49124, "\u0120423": 49125, "hhh": 49126, "\u0120Transformation": 49127, "QUIRE": 49128, "..................": 49129, "\u0120traveller": 49130, "\u0120Sexy": 49131, "\u0120Kern": 49132, "ipolar": 49133, "\u0120ransomware": 49134, "oooooooooooooooo": 49135, "Ec": 49136, "ruby": 49137, "Professional": 49138, "\u0120Outbreak": 49139, "argument": 49140, "Grey": 49141, "\u0120Fifa": 49142, "\u0120CHO": 49143, "\u0120FORM": 49144, "\u0120Amtrak": 49145, "-[": 49146, "\u0120cradle": 49147, "\u0120antioxidants": 49148, "\u00e3\u0123\u00ae\u00e5\u00ae": 49149, "736": 49150, "\u0120NASL": 49151, "\u0120Contributions": 49152, "Indiana": 49153, "\u0120STEP": 49154, "CSS": 49155, "\u0120salient": 49156, "\u0120allocations": 49157, "yrights": 49158, "\u0120mashed": 49159, "\u0120Cutter": 49160, "Sexual": 49161, "\u0120pounded": 49162, "\u0120fanbase": 49163, "\u0120casc": 49164, "\u0120Transparency": 49165, "\u0120analytic": 49166, "\u0120Summoner": 49167, "\u00d7\u0140": 49168, "\u0120ADC": 49169, "detail": 49170, "\u0120vanquished": 49171, "\u0120crabs": 49172, "arie": 49173, "Destroy": 49174, "\u0120Sack": 49175, "\u0120transistor": 49176, "Alabama": 49177, "\u0120Koen": 49178, "\u0120Fisheries": 49179, "cone": 49180, "\u0120annexed": 49181, "\u0120MGM": 49182, "esa": 49183, "\u0120faked": 49184, "\u0120Congratulations": 49185, "\u0120hindered": 49186, "\u0120correctional": 49187, "\u0120ITV": 49188, "leeve": 49189, "\u0120inappropriately": 49190, "licks": 49191, "\u0120trespass": 49192, "\u0120paws": 49193, "\u0120negotiator": 49194, "\u0120Christensen": 49195, "limits": 49196, "\u0120Dianne": 49197, "\u0120elegance": 49198, "\u0120Contracts": 49199, "anke": 49200, "Obj": 49201, "\u0120vigilance": 49202, "\u0120castles": 49203, "\u0120NAD": 49204, "\u0120Holo": 49205, "\u0120emphatically": 49206, "\u0120Titus": 49207, "\u0120Serving": 49208, "\u0120Richie": 49209, "\u0120Pigs": 49210, "568": 49211, "\u0120animosity": 49212, "\u0120Attributes": 49213, "\u0120Uriel": 49214, "MQ": 49215, "myra": 49216, "\u0120Applicant": 49217, "\u0120psychiatrists": 49218, "\u0120Vij": 49219, "\u0120Abby": 49220, "agree": 49221, "Push": 49222, "\u0120kWh": 49223, "hiba": 49224, "\u0120incite": 49225, "\u0120Weasley": 49226, "\u0120Taxi": 49227, "ministic": 49228, "hyper": 49229, "\u0120Farn": 49230, "\u0120601": 49231, "\u0120Nationwide": 49232, "Fake": 49233, "952": 49234, "\u0120maize": 49235, "\u0120interacted": 49236, "\u0120transitioned": 49237, "\u0120parasitic": 49238, "\u0120harmonic": 49239, "\u0120decaying": 49240, "\u0120baseless": 49241, "nsics": 49242, "\u0120transpired": 49243, "\u0120abundantly": 49244, "\u0120Forensic": 49245, "\u0120treadmill": 49246, "\u0120Jav": 49247, "aband": 49248, "\u0120sshd": 49249, "\u0120frontman": 49250, "\u0120Jakarta": 49251, "oller": 49252, "drops": 49253, "\u0120SERVICES": 49254, "romptu": 49255, "ophical": 49256, "hospital": 49257, "bledon": 49258, "645": 49259, "\u0120midrange": 49260, "\u0120EVENT": 49261, "culated": 49262, "rawled": 49263, "\u0120perched": 49264, "\u0120overboard": 49265, "\u0120Peel": 49266, "\u0120Pwr": 49267, "\u0120Carth": 49268, "\u0120COMPLE": 49269, "coe": 49270, "shall": 49271, "\u0120deterrence": 49272, "METHOD": 49273, "\u0120Absent": 49274, "MEN": 49275, "\u0120sill": 49276, "\u0120LEVEL": 49277, "York": 49278, "\u0120sinners": 49279, "\u0120OPEC": 49280, "\u0120Nur": 49281, "\u0120Designs": 49282, "selection": 49283, "\u0120unworthy": 49284, "CHA": 49285, "\u0120strengthens": 49286, "883": 49287, "edly": 49288, "\u0120slicing": 49289, "\u0120malnutrition": 49290, "\u0120filmmaking": 49291, "\u0120Polk": 49292, "urated": 49293, "\u0120421": 49294, "breakers": 49295, "!'\"": 49296, "\u0120wetlands": 49297, "\u0120Discrimination": 49298, "\u0120allowable": 49299, "\u0120steered": 49300, "\u0120Sicily": 49301, "SAM": 49302, "\u0120mustache": 49303, "\u0120mids": 49304, "\u0120clipped": 49305, "\u0120circulate": 49306, "\u0120brittle": 49307, "\u0120Buildings": 49308, "raised": 49309, "\u0120Roundup": 49310, "\u0120wealthier": 49311, "\u0120overwrite": 49312, "\u0120overpowered": 49313, "\u0120Gerrard": 49314, "sites": 49315, "PDATED": 49316, "\u0120acutely": 49317, "\u0120Gamble": 49318, "\u0120pim": 49319, "\u0120Kus": 49320, "Typically": 49321, "Deploy": 49322, "\u0120Moroccan": 49323, "potion": 49324, "combe": 49325, "\u0120vigilante": 49326, "\u0120363": 49327, "Stew": 49328, "\u0120Bagg": 49329, "\u0120resided": 49330, "\u0120Spo": 49331, "\u0120remnant": 49332, "\u0120emptiness": 49333, "brainer": 49334, "\u0120outpatient": 49335, "priority": 49336, "\u0120leptin": 49337, "\u0120Payton": 49338, "\u0120Gleaming": 49339, "\u0120Shed": 49340, "\u0120Polo": 49341, "\u0120Mormonism": 49342, "restricted": 49343, "arlane": 49344, "wx": 49345, "\u0120creatine": 49346, "\u0120Anon": 49347, "\u0120STUD": 49348, "\u0120JUL": 49349, "\u0120Tee": 49350, "528": 49351, "089": 49352, "\u0120hatched": 49353, "Dispatch": 49354, "\u0120Composite": 49355, "\u0120451": 49356, "puff": 49357, "\u0120XCOM": 49358, "\u0120Orn": 49359, "\u0120THANK": 49360, "ENDED": 49361, "\u0120Asheville": 49362, "\u0120\u00c3\u013e": 49363, "\u0120mango": 49364, "\u0120Slightly": 49365, "worldly": 49366, "\u0120Wander": 49367, "\u0120Expand": 49368, "\u0120Chr": 49369, "Mist": 49370, "\u0120orthodoxy": 49371, "\u0120UNESCO": 49372, "regate": 49373, "Elsewhere": 49374, "kie": 49375, "irled": 49376, "\u0120topple": 49377, "\u0120adoptive": 49378, "\u0120Legs": 49379, "dress": 49380, "\u0120Sagan": 49381, "bare": 49382, "\u0120Glou": 49383, "Crunch": 49384, "\u0120helpers": 49385, "\u0120chronically": 49386, "\u0120Huma": 49387, "10000": 49388, "\u0120accommodating": 49389, "\u00e4\u00ba\u0136": 49390, "\u0120wrinkles": 49391, "\u0120dodged": 49392, "fourth": 49393, "\u0120precon": 49394, "\u0120compressor": 49395, "\u0120Kare": 49396, "\u0120evict": 49397, "\u0120Warwick": 49398, "imar": 49399, "\u0120modernization": 49400, "\u0120bandwagon": 49401, "\u0120refuted": 49402, "\u0120netted": 49403, "\u0120Naples": 49404, "\u0120Genie": 49405, "perors": 49406, "\u0120fielded": 49407, "\u0120dere": 49408, "\u0120Parables": 49409, "lees": 49410, "\u0120trout": 49411, "aspers": 49412, "\u0120nihil": 49413, "\u0120happiest": 49414, "\u0120floppy": 49415, "\u0120Loft": 49416, "\u0120Heard": 49417, "\u0120unison": 49418, "\u0120lug": 49419, "\u0120Redmond": 49420, "classic": 49421, "Supporters": 49422, "SHIP": 49423, "GMT": 49424, "\u0120fuelled": 49425, "\u00e7\u0132": 49426, "\u0120dd": 49427, "\u0120Eminem": 49428, "\u01201897": 49429, "NYSE": 49430, "\u0120secretaries": 49431, "\u0120FIA": 49432, "\u0120Canaveral": 49433, "Favorite": 49434, "\u0120pomp": 49435, "\u0120detainee": 49436, "ership": 49437, "aimon": 49438, "iour": 49439, "\u0120Apex": 49440, "\u0120plantations": 49441, "amia": 49442, "acion": 49443, "Rust": 49444, "\u0120towed": 49445, "\u0120Truly": 49446, "577": 49447, "\u0120sheltered": 49448, "rider": 49449, "Wo": 49450, "\u0120lair": 49451, "\u0120Intelligent": 49452, "improve": 49453, "matically": 49454, "\u0120etiquette": 49455, "adra": 49456, "allo": 49457, "\u0120Juno": 49458, "anything": 49459, "\u0120Struggle": 49460, "\u0120Predict": 49461, "\u0120Grimes": 49462, "\u0120AMERICA": 49463, "ctx": 49464, "\u0120Situation": 49465, "WOOD": 49466, "\u0120soluble": 49467, "meier": 49468, "\u0120intolerable": 49469, "angering": 49470, "\u0120uninterrupted": 49471, "\u0120tooltip": 49472, "\u0120interrogated": 49473, "\u0120gunned": 49474, "\u0120Sneak": 49475, "\u00e6\u0143\u00a6": 49476, "\u0120tether": 49477, "\u0120crumble": 49478, "Lens": 49479, "\u0120clustered": 49480, "\u0120Syl": 49481, "\u0120Hasan": 49482, "\u0120dystopian": 49483, "wana": 49484, "\u0120joystick": 49485, "\u0120Thib": 49486, "ammu": 49487, "Tomorrow": 49488, "546": 49489, "\u0120overcame": 49490, "\u0120minimized": 49491, "ceptor": 49492, "Runner": 49493, "ENGTH": 49494, "\u0120Brenda": 49495, "\u0120Achievements": 49496, "\u0120torches": 49497, "\u0120rapport": 49498, "\u0120Investigator": 49499, "\u0120Handling": 49500, "relation": 49501, "grey": 49502, "815": 49503, "\u0120kcal": 49504, "\u0120Commands": 49505, "dq": 49506, "\u0120curls": 49507, "\u0120bearer": 49508, "\u0120cynicism": 49509, "itri": 49510, "\u0120Useful": 49511, "Bee": 49512, "DCS": 49513, "\u0120abras": 49514, "Pract": 49515, "BILITIES": 49516, "712": 49517, "\u0120debugger": 49518, "\u0120debtor": 49519, "\u0120Lia": 49520, "\u0120Kers": 49521, "\u0120exacerbate": 49522, "\u0120Stacy": 49523, "\u0120Bland": 49524, "\u0120Scenes": 49525, "\u0120branching": 49526, "\u00e2\u0138\u012a\u00e2\u0138\u012a\u00e2\u0138\u012a\u00e2\u0138\u012a\u00e2\u0138\u012a\u00e2\u0138\u012a\u00e2\u0138\u012a\u00e2\u0138\u012a": 49527, "apeake": 49528, "\u0120salsa": 49529, "\u0120mishand": 49530, "\u0120Konami": 49531, "\u0120Nib": 49532, "\u0120anecdote": 49533, "\u0120agreeable": 49534, "\u00cf\u012b": 49535, "\u0120Nathaniel": 49536, "\u0120Heisman": 49537, "\u0120Beware": 49538, "\u01201886": 49539, "spective": 49540, "691": 49541, "522": 49542, "\u0120inhibits": 49543, "\u0120hashing": 49544, "\u01201889": 49545, "\u00e5\u00b0\u0128": 49546, "vich": 49547, "Pure": 49548, "\u0120solidly": 49549, "\u0120aspirin": 49550, "imaru": 49551, "\u0120streetcar": 49552, "\u0120UCS": 49553, "\u0120Judd": 49554, "\u0120flashbacks": 49555, "pins": 49556, "\u01201440": 49557, "\u0120UNHCR": 49558, "\u0120Symptoms": 49559, "TIT": 49560, "538": 49561, "Fra": 49562, "%);": 49563, "\u0120ooz": 49564, "\u0120curfew": 49565, "\u0120calmed": 49566, "\u0120participates": 49567, "TeX": 49568, "\u0120nonsensical": 49569, "\u0120fullback": 49570, "\u0120DeL": 49571, "monkey": 49572, "hari": 49573, "\u0120metabolites": 49574, "\u0120looted": 49575, "\u0120ALWAYS": 49576, "\u0120BCC": 49577, "Lt": 49578, "ochet": 49579, "Bone": 49580, "\u0120vetoed": 49581, "\u0120gcc": 49582, "\u0120CLICK": 49583, "\u01201888": 49584, "saf": 49585, "\u0120stiffness": 49586, "\u0120lowly": 49587, "\u0120Geh": 49588, "verson": 49589, "orset": 49590, "\u0120unforeseen": 49591, "\u0120anesthesia": 49592, "\u0120Optical": 49593, 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1717 +INij 1718 +ZXRz 1719 +X0M= 1720 +IGZpbmFs 1721 +zrw= 1722 +NDA= 1723 +IGFycg== 1724 +ICYm 1725 +15E= 1726 +zrs= 1727 +5pe2 1728 +IHJlYWQ= 1729 +w6s= 1730 +16k= 1731 +4Lit 1732 +b3JsZA== 1733 +dWM= 1734 +XTsK 1735 +aGVk 1736 +LkY= 1737 +cmVhaw== 1738 +ZnI= 1739 +YXR1cw== 1740 +IGdl 1741 +0L7QuQ== 1742 +IHZl 1743 +dGluZw== 1744 +JzsK 1745 +IHRlc3Q= 1746 +w6fDo28= 1747 +Kys= 1748 +5Zs= 1749 +bm8= 1750 +Ymw= 1751 +T2JqZWN0 1752 +IGV2ZXJ5 1753 +IEFy 1754 +IHNwZWM= 1755 +w6lz 1756 +IHNob3VsZA== 1757 +cG9uZW50 1758 +RVM= 1759 +Lmo= 1760 +IGtub3c= 1761 +b29k 1762 +aWxpdHk= 1763 +RXhjZXB0aW9u 1764 +IHNt 1765 +16A= 1766 +IG1vbg== 1767 +W2k= 1768 +IGNy 1769 +IHNoZQ== 1770 +IEV4 1771 +d24= 1772 +CXB1YmxpYw== 1773 +IOo= 1774 +IHdlbGw= 1775 +dXNo 1776 +xbw= 1777 +dXg= 1778 +INo= 1779 +IHByZXM= 1780 +IHNjaA== 1781 +bXM= 1782 +0LTQsA== 1783 +IHNp 1784 +eXA= 1785 +IGRlbg== 1786 +dHJh 1787 +aXZlcg== 1788 +4LS+4LQ= 1789 +YWdlcg== 1790 +INmG 1791 +4LK+ 1792 +IGls 1793 +IGV4cGVy 1794 +06k= 1795 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121682 +IGphdW5l 121683 +0L7RiNGC 121684 +PHY= 121685 +IGRyYWFpdA== 121686 +IOCyleCzjeCyt+Czh+CypOCzjeCysA== 121687 +KHJlZ2lzdGVy 121688 +W3JhbmRvbQ== 121689 +LWFjdGlvbnM= 121690 +d2lqZA== 121691 +xLxh 121692 +IFNlcGFyYXRl 121693 +TElNSVQ= 121694 +IHRyYXRhZG8= 121695 +IGVzdHVkYXI= 121696 +IGludmVydGVy 121697 +IHNlbmFkb3I= 121698 +5L2g55qE 121699 +IOCmhuCmm+Cmv+Cmsg== 121700 +IOC0uOC0ueC0vuC0rw== 121701 +5q6W 121702 +IHB1aXNzYW50 121703 +T1RJT04= 121704 +LnByaXZhdGU= 121705 +IG1vdGl2YXRpb25hbA== 121706 +INin2YTYp9mH 121707 +INGA0LDRgdGC0LLQvtGA 121708 +dWZ1bmE= 121709 +aXdpbGw= 121710 +IEVsb24= 121711 +IEdvdXJtZXQ= 121712 +KCgpPT57Cg== 121713 +X3RleA== 121714 +IE9uYQ== 121715 +b25hdGlvbg== 121716 +IGVtYWlsaW5n 121717 +IGdhaXQ= 121718 +IOGDmOGDpeGDnA== 121719 +O3A= 121720 +b3R0aWU= 121721 +IExpdGVyYXJ5 121722 +L3Nob3A= 121723 +INCx0L7Qu9GM0YjQuNC1 121724 +cGFh 121725 +aGlsZW5n 121726 +KGV4YW1wbGU= 121727 +IHByZXNldHM= 121728 +IG1vbmtleXM= 121729 +UHJpanM= 121730 +IHdpeg== 121731 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121831 +IGRpYXBlcnM= 121832 +INGP0pk= 121833 +INee16rXldea 121834 +c2VxdWVsaXpl 121835 +IOCkueCkvuCkuOCkv+Cksg== 121836 +IHNpeWFuZw== 121837 +IHZvcnM= 121838 +IGRva3Rlcg== 121839 +INem15k= 121840 +U2lnaHQ= 121841 +bmlrb20= 121842 +INGB0LLQsNC0 121843 +JGl0ZW0= 121844 +J2FsdA== 121845 +INGA0LDQt9Cy0LjRgtC4 121846 +LWRpc3BsYXk= 121847 +dWxpZg== 121848 +IGV4aWI= 121849 +bGllYmVu 121850 +4Kid 121851 +Z3LDtg== 121852 +IFdpbGxlbQ== 121853 +IGNlc3Nl 121854 +IGVpbmlnZXM= 121855 +4YOa4YOU4YOR4YOh 121856 +INC/0YDQuNGB0YLRg9C/ 121857 +VGVhY2hpbmc= 121858 +IHByb3RhZ29uaXN0YXM= 121859 +IGZha2Vy 121860 +IHBhcnRpY2lwYQ== 121861 +X1RDUA== 121862 +Sm9n 121863 +LkdS 121864 +IHV0YWs= 121865 +0YDTmdGC 121866 +4oCZaMOpc2l0ZXo= 121867 +IEdPTEQ= 121868 +55Sa6Iez 121869 +IHNsb2I= 121870 +0YjQutCw 121871 +IM+Ez4zPg86/ 121872 +IGFsZ29k 121873 +SG9uZw== 121874 +IG1lbnNhbA== 121875 +IHBpbmM= 121876 +IGRlY3JlbWVudA== 121877 +aWNraQ== 121878 +4LC/4LCh 121879 +Q2hhcmdlcw== 121880 +IOmVhw== 121881 +cG9zaWNpw7Nu 121882 +TG93ZXN0 121883 +KCk8 121884 +44Gg44GR 121885 +YW1pbHlh 121886 +IHBhbGNv 121887 +ZGVzY3I= 121888 +IHVubWFy 121889 +IGZlbmNlcw== 121890 +IGtlZXNzYWE= 121891 +IGFsYm8= 121892 +LuC0juC0uOC1jQ== 121893 +IGRldWk= 121894 +IFp1Z3JpZmY= 121895 +w6FiYW1vcw== 121896 +X2hp 121897 +15XXpteQ15XXqg== 121898 +IOeUteivnQ== 121899 +X3dheQ== 121900 +IOGDmOGDoA== 121901 +IGdlbm9jaWRl 121902 +R1JFRU4= 121903 +Q29uZmlndXJhdG9y 121904 +4LOL4LKX4LON4LKv 121905 +zrLOv867 121906 +IFplaXR1bmc= 121907 +IDsKCgo= 121908 +YWlzbQ== 121909 +0YLQsNGA0LTRi9Kj 121910 +IOGDoeGDkOGDpeGDm+GDlA== 121911 +b3Bjb2Rl 121912 +LnNsaWRlcg== 121913 +INGC0LDQvdKz0L4= 121914 +yZlyyZlr 121915 +IEhPUg== 121916 +UHJvY2Vzc2Vz 121917 +amVubw== 121918 +INqp2LHYpw== 121919 +IFBSSQ== 121920 +IE51bGxhYmxl 121921 +aXN0ZXJu 121922 +0LHQsNC10LI= 121923 +X3JvbGw= 121924 +YXJ0b24= 121925 +b25pY3M= 121926 +Lm1u 121927 +QWxpYXNlcw== 121928 +5omr5LiA5omr 121929 +IFdpeg== 121930 +RVNTQUdFUw== 121931 +CWZpZWxkcw== 121932 +dXJldGhhbmU= 121933 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121986 +bWFyY2E= 121987 +INC/0YDQvtC50YLQuA== 121988 +IGZvcm11bGFy 121989 +X3NvY2lhbA== 121990 +J29l 121991 +aWrFsw== 121992 +IEVpbmZsdXNz 121993 +IHNpYXA= 121994 +INK30L7QuQ== 121995 +IHJhd3M= 121996 +xYJhdw== 121997 +Lmdlbw== 121998 +IG9udHN0YWF0 121999 +IElDb21tYW5k 122000 +INCa0YPRgA== 122001 +IGhvZg== 122002 +VmlzYQ== 122003 +Ii4u 122004 +IFBpcGVy 122005 +aG9seg== 122006 +zrnOus+Mz4I= 122007 +aWNoaWVy 122008 +0pPQsNGC 122009 +YW1hY2FyZQ== 122010 +IGVsc2tlcg== 122011 +INeR16LXnNeZ 122012 +IGTDqWNsYXJhdGlvbg== 122013 +IG7JmXRpYw== 122014 +IOCwsuCxh+CwlQ== 122015 +4LKw4LOB4LKk4LON4LKk 122016 +LmF3YWl0 122017 +INaE1aHVtdWs 122018 +IOCmrOCng+CmpuCnjeCmpw== 122019 +X3Bp 122020 +CU9wdGlvbmFs 122021 +SGc= 122022 +PSdf 122023 +IGTDqXRlcm1pbmVy 122024 +IHdoaW1z 122025 +IHNvbGxpYw== 122026 +0Y3RgtGF0Y3Qsw== 122027 +IFBob3RvZ3JhcGhlcg== 122028 +b3Zhbmll 122029 +INi52YrYrw== 122030 +dWRkZQ== 122031 +IGZydWl0eQ== 122032 +INGF0YPQtNCw0LvQtNCw 122033 +IFRJTUVS 122034 +bcOh 122035 +IHRhdm8= 122036 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128100 +IGdlYnJ1aWt0ZQ== 128101 +IOCysOCyvuCyt+CzjeCynw== 128102 +IG92ZXJzZWVpbmc= 128103 +IHRlY2lkbw== 128104 +UGVzc29h 128105 +IGRhZHM= 128106 +IFllbmk= 128107 +IE1ldGhvZGVu 128108 +UmQ= 128109 +IGludml0w6lz 128110 +IOCwheCwrg== 128111 +Ymx5Z3U= 128112 +IGJsb3Nzb20= 128113 +2LPYsdin2KbZitmE2Yo= 128114 +16LXqNeb16o= 128115 +IOyDiQ== 128116 +5LiA6IKW5Lit54m5 128117 +IMW+YWw= 128118 +IENQSQ== 128119 +IG3DpnI= 128120 +IGVtYmFycmFzc21lbnQ= 128121 +IENBUlQ= 128122 +0YDQsNC60YI= 128123 +IHVudG91Y2hlZA== 128124 +L3NvdXJjZQ== 128125 +2YrZhNmF 128126 +INmF2LHZiNix 128127 +IOC0leC1iuC0o+C1jeC0n+C1jQ== 128128 +IMOpcXVpcMOpZQ== 128129 +0LXQutGB0LA= 128130 +LC0KCg== 128131 +IFBEUA== 128132 +INC90L7Qs9C4 128133 +IGluZGly 128134 +KHZlcmJvc2U= 128135 +IOCkreClgeCklw== 128136 +IENvdXJpZXI= 128137 +dXR1cmVz 128138 +IFBlcnNwZWN0aXZl 128139 +IG5lZ2F0aXZlcw== 128140 +INCd0LDRgdGC 128141 +IGhhdW50aW5n 128142 +IOCwl+CxgeCwsOCxjeCwpA== 128143 +IOCksOCkueCkpOCkvg== 128144 +IGZsYXZvcmZ1bA== 128145 +IEthbm8= 128146 +IGlubGFuZA== 128147 +LnJ0 128148 +INm+2YTYpw== 128149 +IOi2ow== 128150 +LWNvbHM= 128151 +IOCkruCkv+CkqOCknw== 128152 +VHJpdHVy 128153 +IGRldGVybWluYWRvcw== 128154 +SGFtYg== 128155 +SUND 128156 +IFJvb3Rz 128157 +bWluZXI= 128158 +b2tvbg== 128159 +IOCkquCljeCksOCkrQ== 128160 +LlN0b3JlZA== 128161 +IGthcHNhbQ== 128162 +YXNrZWQ= 128163 +Zno= 128164 +b3Jyb3M= 128165 +25Xbiw== 128166 +IGl6bA== 128167 +aWJpbGl0w6A= 128168 +4YCU4YCy 128169 +IEvDpHVmZXI= 128170 +a2FydGVu 128171 +IExhdW5jaGVy 128172 +IHJ1aWRv 128173 +aXBhbg== 128174 +IHNwb2lsZXI= 128175 +RW5kZXJlY28= 128176 +INmK2YjZhtmK2Yg= 128177 +IGV4Y2VwY2lvbmFs 128178 +Y2FsYXI= 128179 +aWzJmQ== 128180 +yZl0bMmZcg== 128181 +LmxuZw== 128182 +KEdyYXBo 128183 +IHZhaXLEgWs= 128184 +IGRyaXZlcidz 128185 +IFsu 128186 +5pu05paw5pe26Ze0 128187 +8Y6UinBw 128188 +cXVhcnRh 128189 +IGludGVydmVuZQ== 128190 +INC60YvQt9GL 128191 +YW1rYQ== 128192 +IGFzcGlyZQ== 128193 +44G8 128194 +xLHEn8SxbsSxeg== 128195 +IGdldGFu 128196 +IHByZXN0YQ== 128197 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128393 +IEdMZmxvYXQ= 128394 +Sm9uYXRoYW4= 128395 +IGJ1bGxpc2g= 128396 +KS4q 128397 +IElWQQ== 128398 +INmF2LTYp9mH2K/YqQ== 128399 +IOWQjeS6ug== 128400 +IHVudHJlYXRlZA== 128401 +INio2KfYug== 128402 +INmB2KXZhtmH 128403 +KHJlZ2V4 128404 +IFdoZWF0 128405 +4YCZ4YCU4YC5 128406 +4Ka+4Kef4KeA 128407 +yZlzaW5p 128408 +IGhvc3BpdGFsaXplZA== 128409 +IOC0tuC0leC1jeC0pA== 128410 +LXJlZ2lzdGVy 128411 +IEJveGluZw== 128412 +IHNrdXQ= 128413 +IGtow6E= 128414 +IHJlZ3Jlc3M= 128415 +15nXpNeZ150= 128416 +1aHWhNWh1bbVuQ== 128417 +Y2xlYW51cA== 128418 +IGpvZ2dpbmc= 128419 +YnVsaw== 128420 +INmD2YTYp9mF 128421 +0L7QstGW 128422 +dW5ueQ== 128423 +IGvDvHNpbQ== 128424 +IGhlZGVm 128425 +LWJ1dA== 128426 +IHNwaWxscw== 128427 +4K6+4K6j4K+N4K6f 128428 +IHZhbXBpcmVz 128429 +IOCqpeCri+CqoQ== 128430 +IGdyYXBoaXF1ZQ== 128431 +IGbDtmw= 128432 +xaF0dQ== 128433 +IHBpZXJkZQ== 128434 +IGFjdGlm 128435 +IGfDtm4= 128436 +aWxhcml0eQ== 128437 +IHbDqWN1 128438 +4oCZw6lwb3F1ZQ== 128439 +IGxhbw== 128440 +INio2YXYuQ== 128441 +0LjRj9C80Lg= 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151702 +INCx0LjRgNC+0Lo= 151703 +LnVucmVnaXN0ZXI= 151704 +IFdpbms= 151705 +INmF2YbYp9io2Lk= 151706 +L3BsYXllcg== 151707 +fD0K 151708 +dXZpYWw= 151709 +0L7RgNCw0YU= 151710 +IGlubnVtZXI= 151711 +INCV0LrQsNGC 151712 +IOCmruCmv+CmqA== 151713 +IGRvxZt3aWFkYw== 151714 +IGdyw7hu 151715 +dWlkZW4= 151716 +5aSa5Lq6 151717 +CWluaXRpYWw= 151718 +2LfYsdit 151719 +aWJpw6fDo28= 151720 +IV0= 151721 +X0NPTk4= 151722 +IHByZW5kcw== 151723 +IHNlbWFuYWw= 151724 +LVNlbWl0 151725 +INCy0L/RgNCw0LI= 151726 +IGJvb3M= 151727 +IHR1cm1lcmlj 151728 +INmI2KfYsdmI 151729 +INC00LjRgdGG0LjQvw== 151730 +IGNvbGzDqGd1ZXM= 151731 +INix2YXYsg== 151732 +6YKu5Lu2 151733 +bmF5 151734 +77yj 151735 +L3BhY2thZ2U= 151736 +4Lij4Lix4LiB 151737 +IHPDpHJzaw== 151738 +INqp2r7bjNmE 151739 +IG5vbmZpY3Rpb24= 151740 +IE1hc3Rlcidz 151741 +2KjYt9in2YQ= 151742 +amFuamU= 151743 +INC40LfQvNC10L3QuNGC0Yw= 151744 +KGNvb3Jkcw== 151745 +TWVuc2FnZW0= 151746 +IHNjYXJjaXR5 151747 +INC90Y4= 151748 +IOCkquCkueCksg== 151749 +INmF2LnYp9mF2YTYp9iq 151750 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151797 +IOCmsOCmvuCmqA== 151798 +IFN1aWNpZGU= 151799 +4LeK4Lap 151800 +INin2YTYqNin2Kg= 151801 +YWdvbmE= 151802 +4KSm4KS/4KSo 151803 +0YLRg9GA0YPRiA== 151804 +IFNlbnRlbmNl 151805 +IE1hcmlhbmE= 151806 +IG13ZXpp 151807 +LnBlZXI= 151808 +IOCmruCngQ== 151809 +cGllY3plxYQ= 151810 +YWRlcmFz 151811 +IGluYW4= 151812 +IOGDouGDmOGDng== 151813 +X3N1aXRl 151814 +Qmli 151815 +5Yig 151816 +w7RuaWNvcw== 151817 +IHB1Yw== 151818 +44CA56ys 151819 +YWdi 151820 +IGZyb250ZXJh 151821 +INi52KfZhNuM 151822 +IHF1ZXN0aW9ubmFpcmVz 151823 +CWVu 151824 +bHZs 151825 +INC40YjRgtC40YA= 151826 +IGh1d2VsaWpr 151827 +LmxhbmQ= 151828 +IHJpZGQ= 151829 +X3N1YnBsb3Q= 151830 +IOCksOCkluClh+Ckgg== 151831 +4Z+G4Z6g 151832 +T0dP 151833 +IGRlbGVnYWRv 151834 +4LS/4LSa4LWN4LSa4LS/4LSw4LWB4LSo4LWN4LSo4LWB 151835 +IGNyaXTDqXJpb3M= 151836 +VG9yb250bw== 151837 +5Yqg5YuS5q+U 151838 +IFRpZW1wbw== 151839 +INC60L7QvNC80YPQvdC40LrQsA== 151840 +KGRvdA== 151841 +4YCx4YCh 151842 +IEt1bmE= 151843 +X3VuaWNvZGU= 151844 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151892 +6ZaJ 151893 +5a2m5Y6G 151894 +YWphZGE= 151895 +IHlhdMSxcg== 151896 +Y29uc3RyYWludHM= 151897 +X3llcw== 151898 +INC80LjQu9C70LjQsNGA0LQ= 151899 +IEV2ZXJldHQ= 151900 +IOC0uOC1jeC0qg== 151901 +INin2YTYrdiz2KfYqA== 151902 +LUV1cm9wZQ== 151903 +IFpodQ== 151904 +IHV0aWxpc2VudA== 151905 +IMO2w7BydW0= 151906 +U2ltaWxhcmx5 151907 +0LXQtNC10LvRjA== 151908 +IM68zr/OvQ== 151909 +INin2YTYqti52Kg= 151910 +IGN1c2hpb25pbmc= 151911 +INCy0LjRhQ== 151912 +IHNjaGVycA== 151913 +SW52YWxpZGF0ZQ== 151914 +2KfYr9mK2YU= 151915 +IGJ1ZGRo 151916 +c3Vic3Q= 151917 +INCz0LvQsNCy0LA= 151918 +IFZvY2FidWxhcnk= 151919 +IHByb2NsYW0= 151920 +X3VuaW9u 151921 +amFyYQ== 151922 +VGllbXBv 151923 +IFdpbGRlcm5lc3M= 151924 +IHRlbGV2aXNpb25z 151925 +bWFpbGVy 151926 +44Gq44Gf 151927 +IFRhaXBlaQ== 151928 +VkY= 151929 +LXRhbA== 151930 +LlBsYWNl 151931 +QnJhbmNoZXM= 151932 +YXJrZXVu 151933 +IHBj6JuL6JuL 151934 +IHRlbWl6 151935 +VHVu 151936 +IG3Ekw== 151937 +INWN1aE= 151938 +LlBPUw== 151939 +IG1heXJvb24= 151940 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161184 +IGVyc3Rh 161185 +4YOQ4YOT4YOQ4YOT 161186 +IGdhc2U= 161187 +yZlseGFscQ== 161188 +LlBhc3M= 161189 +7JWE7ISc 161190 +IGPhu5luZw== 161191 +IHJhYWt0 161192 +IHNuYWJidA== 161193 +IGNpZGFkw6Nv 161194 +X2luY29tZQ== 161195 +IGdhbHVlZ2E= 161196 +IHd1c3N0ZQ== 161197 +INC90LDRg9C6 161198 +IOCkpuCli+CkuOCljeCkpOCli+Ckgg== 161199 +0L3TmdGA 161200 +PFR1cGxl 161201 +INGA0LDRgdGC0LXQvdC40LU= 161202 +IGjDtmttw7xuZGU= 161203 +aGFtcHRvbg== 161204 +IEZW 161205 +IHJhYWs= 161206 +IHdpZcSnZWQ= 161207 +IHZlbmR1 161208 +eyEh 161209 +IGZ1eno= 161210 +csOt 161211 +X2ZvbnRz 161212 +IGRydWdv 161213 +IOGDm+GDlOGDouGDkOGDkw== 161214 +IFBvcnR1Zw== 161215 +IHdyaXN0cw== 161216 +7ZqM7JuQ 161217 +IGNvbmR1Y2U= 161218 +IOC5guC4ow== 161219 +IFRhY3RpY2Fs 161220 +IEFtbW8= 161221 +5aGY 161222 +5LuY5qy+ 161223 +INGH0YPQstGB0YLQstCw 161224 +VkFMVQ== 161225 +IEZhaXJmYXg= 161226 +IGJsb2Nv 161227 +INC/0YDQuNC10YU= 161228 +IHdlaWc= 161229 +CUJsb2Nr 161230 +IE5MUA== 161231 +IHNjb3V0aW5n 161232 +IOeugA== 161233 +5bC4 161234 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+IFByw6RzZW50 161332 +X1BVTEw= 161333 +IGNvbXDDqXRlbmNl 161334 +IGRpc2PDrXA= 161335 +4oaTCgo= 161336 +IM67zr/OuQ== 161337 +IGlua29tc3Rlbg== 161338 +5aSn6YeP 161339 +IG9ic2Vzc2l2ZQ== 161340 +YmluZGVy 161341 +IGppcmU= 161342 +INC805nSl9Cx0YPRgA== 161343 +INC40YHQv9C+0LvRjNC30YPRjw== 161344 +IG9iaWw= 161345 +IM6zz4XOvc6x 161346 +INCx0YvQstCw0Y7Rgg== 161347 +IHRlbGx1cw== 161348 +KFJlbQ== 161349 +ICJ9 161350 +dXNzZWds 161351 +IGZyZWRhZw== 161352 +IGVyZmFyZW4= 161353 +INC00L7Qu9Cz0L7Qsg== 161354 +YW5jaWVubmU= 161355 +2LfYsdmB 161356 +IFNvY2lvbG9neQ== 161357 +IOCkrOCksuCljeCksg== 161358 +dW1pc2U= 161359 +IHJlY29nZXI= 161360 +4KSF4KS44KSy 161361 +IOGemOGfiQ== 161362 +VEVNUA== 161363 +5aWX6aSQ 161364 +PFRhZw== 161365 +IGfDtm5k 161366 +IGFwYXLDqm5jaWE= 161367 +4pWd 161368 +ICkuCg== 161369 +4oCcKQ== 161370 +IFBoaWxoYXJt 161371 +IHJlcHJlbmQ= 161372 +IG5lcmdlbnM= 161373 +ho0= 161374 +IOebuA== 161375 +6KaG55uW 161376 +RVk= 161377 +IMOeYXI= 161378 +IGVpbnNldHplbg== 161379 +5ruL 161380 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161523 +IG9uc2U= 161524 +IHBvbmE= 161525 +IG5hc3p5bQ== 161526 +6K2m5pa5 161527 +QFJlcXVpcmVk 161528 +KGNhcmRz 161529 +INmH2YXYpw== 161530 +IGRyYWFp 161531 +IEJldGhlc2Rh 161532 +IGxhcmdhcw== 161533 +INC70LXQutCw0YDRgdGC0LLQsA== 161534 +LWRpc2M= 161535 +INeh16LXqA== 161536 +cnllcg== 161537 +YWdkYWdhbg== 161538 +KFJFRw== 161539 +INmB2YM= 161540 +dGV4dHVyZXM= 161541 +IHd5bmlr 161542 +15DXqdeb15XXnA== 161543 +44OZ44Or 161544 +4Kqo4Kq/4KqV 161545 +IGFjb3JkZQ== 161546 +IHRvdsOhYmI= 161547 +b290aQ== 161548 +LXw= 161549 +6IWw 161550 +5YW25qyh 161551 +emllbnM= 161552 +CXJvd3M= 161553 +0YDRi9C3 161554 +w6lkaWFpcmU= 161555 +IFByaW5z 161556 +1aXVtNW2 161557 +IERvbWluaW9u 161558 +IOS/oeaBrw== 161559 +RHJlc3M= 161560 +64+I 161561 +IEFVRw== 161562 +IOGDm+GDluGDkOGDkw== 161563 +4piFCgo= 161564 +15vXoteo 161565 +IHNww7hyZ3Ntw6Vs 161566 +IHN0YWxsZWQ= 161567 +IHdhyZc= 161568 +IGR1aXplbmRlbg== 161569 +IOCouOCorQ== 161570 +IOCymuCzhg== 161571 +0YDQsNC80L8= 161572 +5by65YyW 161573 +4LWI4LSx4LWN4LSx 161574 +5L+x 161575 +IGZ1cmVudA== 161576 +IGNvbXB1dGVyaXplZA== 161577 +IHlhc2E= 161578 +5byX 161579 +IGdlcmVrbGk= 161580 +1YjWgg== 161581 +QWRqdXN0ZWQ= 161582 +15nXmdeS158= 161583 +IEJvaWxlcnM= 161584 +Y2hhbmdpbmc= 161585 +INin2YTYqNi02LHYqQ== 161586 +wq1uZQ== 161587 +INGD0Y7RiA== 161588 +IGF5dWRhcw== 161589 +XENvbW1hbmQ= 161590 +c3R1cg== 161591 +5oCn6Imy 161592 +IGVrdGU= 161593 +IHNjaGzDpA== 161594 +IFNob290ZXI= 161595 +IOCkuOCkv+CkuOCljeCkn+Ckrg== 161596 +CVN0YXRl 161597 +Q29sbGFib3I= 161598 +LmFyZQ== 161599 +5YWs6ZaL 161600 +IFJlZHVj 161601 +IENDUA== 161602 +0LDQu9GM0L3QsNC5 161603 +IOCkruCkguCkmg== 161604 +IOColeCov+CouA== 161605 +INC80ZbRgdGC 161606 +4Z6O4Z+S4Z6M 161607 +IFJhaHVs 161608 +Y2hlY2twb2ludA== 161609 +IHdha2hv 161610 +0LvQsNGP 161611 +IEFtdHM= 161612 +INem16jXmdeb15nXnQ== 161613 +15XXldeZ150= 161614 +IEdhcmU= 161615 +4oCcVA== 161616 +IHVuZ2Vmw6Rocg== 161617 +4YC74YCB 161618 +IG15dGhpY2Fs 161619 +IC8vLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0t 161620 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161671 +IGxhYmlvcw== 161672 +IGl0Y2h5 161673 +INWh1bk= 161674 +dXR0ZXJpbmc= 161675 +V2lubmluZw== 161676 +YXNoaXJl 161677 +IGVrc3Bs 161678 +aXNidXJ5 161679 +IGlzdMmZeQ== 161680 +INC/0LDRgtC+0LvQvtCz 161681 +15zXldec 161682 +TWVyc2k= 161683 +IG3DrW5pbW9z 161684 +c25z 161685 +IOCkhuCkj+CkleCkvg== 161686 +IGdldHJlbg== 161687 +4KS+4KSh4KS84KS/4KSv4KWL4KSC 161688 +55yf5q2j 161689 +5LqM5YiG5b2p 161690 +IG1pZGU= 161691 +4YCP 161692 +bWFydGVz 161693 +KGJw 161694 +77y/5qyn576O 161695 +IOCksuCkvuCkl+CkpA== 161696 +IE1hcmRp 161697 +ZnVuemk= 161698 +IGFtYml0 161699 +IGFub3Jl 161700 +IOC4ouC4seC4mQ== 161701 +IENsaXBz 161702 +Lmhpa2FyaQ== 161703 +IGJsYXN0ZWQ= 161704 +INC20YPQvA== 161705 +0L3QuNC60LDRhQ== 161706 +IGtlbGk= 161707 +aWxlc3dp 161708 +X0VSUk9SUw== 161709 +LkRyYXdhYmxl 161710 +J2F2YW50 161711 +RG9vcnM= 161712 +SE9VU0U= 161713 +WHBhdGg= 161714 +IGlzaWtoYXRoaQ== 161715 +X2RpYWc= 161716 +INC90LDQvdC+0YE= 161717 +4LWD4LS34LWN4LSj 161718 +c2Fz 161719 +IHRlbmRyZW1vcw== 161720 +UGxhdGZvcm1z 161721 +IGxpZMOt 161722 +YmlibGk= 161723 +SUZT 161724 +U1NGV29ya2Jvb2s= 161725 +aWNpZW1icmU= 161726 +IHBvbGFyaXR5 161727 +IEJsb2dnaW5n 161728 +bWHDn25haG1lbg== 161729 +X1RFUg== 161730 +IGlyZ2VuZHdv 161731 +5Li65L2V 161732 +7KCE7LK0 161733 +IENsZWFyaW5n 161734 +0JDQnA== 161735 +INC30LDQtNGD0Lw= 161736 +4Kq54KuH4Kq1 161737 +INCw0rPTmQ== 161738 +aXJtacWf 161739 +IHRvZWdlcGFzdA== 161740 +IHdpcGluZw== 161741 +IGVycmVpY2hiYXI= 161742 +INC/0L7Qu9C+0LbQtdC90LjRjw== 161743 +IGxvY2FsaWRhZGVz 161744 +KHh4 161745 +IHNlbG8= 161746 +INGB0ZbQvA== 161747 +IOaJi+acuuS4iueahA== 161748 +LWN1cg== 161749 +Z3VhcmRz 161750 +INCy0LjQtg== 161751 +VGhpbg== 161752 +2YHYp9i52YQ= 161753 +UENN 161754 +IHBhcmFsbGVscw== 161755 +IHN0cmF0ZWdpc3Q= 161756 +Y2h1cmU= 161757 +4YOU4YOt 161758 +IHJvYWR3YXk= 161759 +IHZlcnN0ZWh0 161760 +X2luaWNpbw== 161761 +4bulZ2jhu4s= 161762 +IHJ3bw== 161763 +776c772v776B772u772y 161764 +IEHDsW8= 161765 +Z2VsdA== 161766 +INiq2KPYqtmK 161767 +IGluc2lzdGluZw== 161768 +c3ByZWNocGFydG5lcg== 161769 +IHJhdmVu 161770 +IG1vbm94aWRl 161771 +KSkpKQoK 161772 +eWxlZnQ= 161773 +IGtpdGNoZW5ldHRl 161774 +IGFscGluZQ== 161775 +IFd5bmRoYW0= 161776 +INeU15PXqNea 161777 +IGZvZXM= 161778 +IGhvyrtp 161779 +TnRo 161780 +L2dhbGxlcnk= 161781 +0LvQuNGA0LjQtNC40L0= 161782 +IHN0YXJm 161783 +YXphcmQ= 161784 +c3Rhc3k= 161785 +44Kt44Oj44Oz 161786 +Y29tcGFy 161787 +15XXodeZ16M= 161788 +6K+E57qn 161789 +0pfQuA== 161790 +IG51YW5jZQ== 161791 +VmlldG5hbQ== 161792 +4KWN4KSv4KS14KS+4KSm 161793 +IG1hcmF2aWxob3Nv 161794 +INC60L7QvNC/0LXQvdGB0LA= 161795 +INin2YTYs9ik2KfZhA== 161796 +RGVuZ2Fu 161797 +SEFTSA== 161798 +IHpvdw== 161799 +IGRlc2NyZQ== 161800 +dGVybWluYXRlZA== 161801 +LkhpZGRlbg== 161802 +KFRZUEU= 161803 +bWVpZGE= 161804 +2YXYp9i0 161805 +IGxhbmRlbGlqa2U= 161806 +IHNhdm9ucw== 161807 +cmVzZW50ZXI= 161808 +IMO8aGVuZA== 161809 +2KfZhNiu 161810 +QUdO 161811 +IHZpb2xh 161812 +4Ka/4Kaf4Ka/4Kaw 161813 +IG9wb3Npw6fDo28= 161814 +J10iKSku 161815 +IGZhbmRlbg== 161816 +IG9pa2Vpbg== 161817 +z4zOvM61zr3Ovw== 161818 +IEVudW1lcmF0b3I= 161819 +INGB0L7Qv9GA0L7QstC+0LY= 161820 +INC60YDQsNGB0LDQsg== 161821 +LlZvbHVtZQ== 161822 +IEhvbmVzdA== 161823 +IHNhbW96 161824 +IGtvbmRpc3lvbg== 161825 +IOC0suC1iw== 161826 +IGR1c2s= 161827 +IG9yZGVybHk= 161828 +IOCksuCkvuCkiA== 161829 +IG3JmcWf 161830 +IHFhYWRheQ== 161831 +c29ydGFibGU= 161832 +44OI44OD44OX 161833 +IENNUA== 161834 +INC+0L/RgNC10LTQtdC70LXQvdC40Y8= 161835 +cGVyaw== 161836 +Q0VOVA== 161837 +IGl6dnI= 161838 +INiv2LnZiNiq 161839 +INCR0LjRiNC6 161840 +LnJh 161841 +cmFzxLE= 161842 +IHR5cGVu 161843 +INec16TXl9eV16o= 161844 +2K/YrtmE 161845 +IGhpdHRlcg== 161846 +0LDQvdCx0LA= 161847 +4YOU4YOg4YOq 161848 +4YOV4YOU4YOo 161849 +INCy0L7QtNC40YLQtdC70Yw= 161850 +INGD0L/RgNCw0LLQu9GP 161851 +IHByZW5z 161852 +6Kej6Zmk 161853 +IERhYXJtZWU= 161854 +INiq2YLYsduM 161855 +IHBvbWFn 161856 +IHNxdWlycmVs 161857 +IOGelw== 161858 +Q3Vpc2luZQ== 161859 +IHRpdGFu 161860 +IE9jdWx1cw== 161861 +IGxpYnM= 161862 +INWm1bjVsA== 161863 +IHNjb3V0cw== 161864 +IEFxdWFyaXVz 161865 +IEJyZW5uYW4= 161866 +IGxpc2ViZWxpc29h 161867 +IHN0cm5jcHk= 161868 +IOS/rg== 161869 +4KSV4KSw4KWN4KSk4KS+4KST4KSC 161870 +IHdlYQ== 161871 +Y2xhc3NuYW1l 161872 +L2Vs 161873 +IEJheWxvcg== 161874 +X0VsZW1lbnQ= 161875 +6IO95o+Q546w 161876 +cHJvdGVpbg== 161877 +IFDDqHJl 161878 +4Lii4Lix4LiZ 161879 +IE3DvG5zdGVy 161880 +4oCZb8O5 161881 +INio24zZudq+ 161882 +ICghIQ== 161883 +ZGV1cg== 161884 +2qnYqtuM 161885 +INCz0YDRg9C/0L/QtQ== 161886 +IGNyaXRpY2E= 161887 +LWhlYWx0aA== 161888 +IOCqruCqguCqpuCqv+CqsA== 161889 +w6Fzw6F0 161890 +LlRocm93cw== 161891 +bGFsbw== 161892 +IEV4aGF1c3Q= 161893 +IHByZWNlZGVudGU= 161894 +IENvbnN1bXB0aW9u 161895 +IGRvZWxncm9lcA== 161896 +IG5ndW0= 161897 +cm9pZGlzbQ== 161898 +IENoZXZyb24= 161899 +IGN1b3Rh 161900 +IOCmieCmpuCnjeCmr+Cni+Cmlw== 161901 +IEphaHJodW5kZXJ0cw== 161902 +LWRldA== 161903 +X29wdGltaXplcg== 161904 +4LmC4LiI 161905 +INC00q/QudC9 161906 +IOC2veC2tuC3jw== 161907 +IHZvb3Jrb210 161908 +CUNvcHlyaWdodA== 161909 +0J/QsNGA 161910 +X1NDT1JF 161911 +X3Jlc3RvcmU= 161912 +IG5hZGU= 161913 +IHR1ZXI= 161914 +IOCqnOCrgeCqkw== 161915 +L2tlcm5lbA== 161916 +INC60LvRg9Cx0LA= 161917 +IEJhY2t5YXJk 161918 +RkZB 161919 +IGltbWFjdWxhdGU= 161920 +IOCkuOCljeCkteCkpOCkguCkpOCljeCksA== 161921 +YWJhaQ== 161922 +IGRpYmFuZGluZw== 161923 +IHBlbmdndW5hYW4= 161924 +CUZpZWxk 161925 +INC00LjSsw== 161926 +4Lia4Lij4Li04Lip4Lix4LiX 161927 +IGVzcHVtYQ== 161928 +0pPRg9C9 161929 +IG5hcXVlbGE= 161930 +IGxlaXN1cmVseQ== 161931 +IGJ1cnU= 161932 +IOCmpuCnh+CmrA== 161933 +IHdlaXN0 161934 +w48= 161935 +INen15DWt9ee 161936 +dmlydGk= 161937 +IGFmZmx1ZW50 161938 +IGF0b2E= 161939 +YWxsZXJpYQ== 161940 +IGZhcmtv 161941 +INC70YPRh9GI0LjQuQ== 161942 +X3N1cHBseQ== 161943 +IOGDlOGDpeGDmOGDmw== 161944 +IHBlcmRpw7M= 161945 +YWthbG8= 161946 +w6Rpdg== 161947 +IE1EQg== 161948 +IOCmhuCmtuCmvg== 161949 +IOCwleCxi+CwsA== 161950 +IERyZWk= 161951 +IEJlYXJk 161952 +5omx 161953 +IFdoaXRlcw== 161954 +LWJveQ== 161955 +4Liy4LiW 161956 +bmV6ZQ== 161957 +IERpcmVpdG9z 161958 +PFJvdXRl 161959 +IE1pbGl0 161960 +IOCmhuCmpw== 161961 +aXRhdHVk 161962 +IGN0eHQ= 161963 +w6FuZG9sbw== 161964 +4Lij4Li44LmI4LiH4LiZ4Li14LmJ 161965 +dGVycml0 161966 +INC60L7Qug== 161967 +IHVjemVzdA== 161968 +dWxvc2U= 161969 +INC/0L7RgtC10L3RhtC40LDQu9GM 161970 +IGVtbQ== 161971 +YW1hcmNh 161972 +INec15TXkdeZ158= 161973 +IGRpbmd3ZQ== 161974 +z4TOt86z 161975 +IExlYmFuZXNl 161976 +0YfQvdGL 161977 +IHp2YWthcmU= 161978 +IG9saXZh 161979 +IGRoYXU= 161980 +IGtvbW1lbnRhcmVy 161981 +INCt0LzQvtC80LDQu9Oj 161982 +IHJldW5pdGVk 161983 +IE5kemk= 161984 +1bjVrNW41aM= 161985 +UVJTVA== 161986 +YXZpYXI= 161987 +IHVuZmF2b3JhYmxl 161988 +5Y+U 161989 +IGV4cGFuc2nDs24= 161990 +c2NhdHRlcg== 161991 +7LCu 161992 +CW9wdGlvbg== 161993 +0J3QsNGH 161994 +YW5ndWxv 161995 +X2hvdXNl 161996 +INC+0YHRgtCw0YI= 161997 +IHByb2R1dGl2aWRhZGU= 161998 +xb5lbsOt 161999 +IGRlamU= 162000 +Q29udHJvbGxlZA== 162001 +IG11aGk= 162002 +IHdldGxhbmRz 162003 +IGltcHJlc2lvbmFudGU= 162004 +IHRhcmloaQ== 162005 +INC00LDQudGL0L0= 162006 +aW5lcmllcw== 162007 +IGhla3Q= 162008 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162056 +IEt1Zg== 162057 +IHNwcA== 162058 +IGLDoWM= 162059 +UXJ5 162060 +INC80LDRgdGI0YLQsNCx 162061 +IOCkheCkueCkrg== 162062 +IFByb3RlY3RpdmU= 162063 +IHByb2dlc3Rlcg== 162064 +KE5BTUU= 162065 +J2ljaQ== 162066 +IEV4aGliaXQ= 162067 +IHlk 162068 +INWk1oDVodW21oE= 162069 +bcOtbg== 162070 +KHZvbHVtZQ== 162071 +IGlud2VzdA== 162072 +IOqxsOydmA== 162073 +ZXJub29p 162074 +INGB0L/QuNGB0LrQsA== 162075 +IOCktuCkqOCkv+CkteCkvuCksA== 162076 +INC+0YLQtNC10LvRjNC90YvRhQ== 162077 +IFBhbmM= 162078 +IFJJUA== 162079 +LlJvbGw= 162080 +INiq2LPYqNio 162081 +ID09Jw== 162082 +0YfQuNGC0LDRgtGM 162083 +IEFsdGU= 162084 +IGFyYW4= 162085 +IEFQUExZ 162086 +IOGDpOGDmOGDnOGDkOGDnOGDoQ== 162087 +IGNpdXRhZA== 162088 +aW9tYW5pcA== 162089 +IENFUA== 162090 +Q29uY2x1cw== 162091 +CXJlY3Q= 162092 +LmRzbA== 162093 +IOCkr+Cli+Ckl+CljeCkrw== 162094 +SGFsbG93ZWVu 162095 +CW1hdA== 162096 +IHBlcnZhc2l2ZQ== 162097 +INmF2YLYsdix 162098 +w6hsZW1lbnQ= 162099 +4Lir4Lil4Lix4LiB 162100 +INin2YTZhdmC2KjZhNip 162101 +0YvQvdOh0LA= 162102 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162828 +0LjRgdGB0LXRgA== 162829 +4KSV4KS+4KSu 162830 +5rib 162831 +IFZlcnNvcmd1bmc= 162832 +IFBuZQ== 162833 +RFE= 162834 +IE1haWRlbg== 162835 +dWJsaXNoaW5n 162836 +Z2lvcw== 162837 +INCb0YPQutCw0Yg= 162838 +INmF2K/YqQ== 162839 +PEd1aWQ= 162840 +IEtpbWJlcmx5 162841 +IFBlZQ== 162842 +4oKsLA== 162843 +IOCqpOCrh+CqqOCrgeCqgg== 162844 +IElOVEVSTkFM 162845 +IGZhY2VyZQ== 162846 +IFRlcndpamw= 162847 +w6Fzaw== 162848 +65+s7Iqk 162849 +IGNhcmnDsW8= 162850 +INGB0LvQtdC00YPRjtGJ0LjRhQ== 162851 +0LLQsNC90L3QtQ== 162852 +SlNJbXBvcnQ= 162853 +IGpvdXJuYWxpc3Rlcw== 162854 +Q29yb25h 162855 +IGRhcXVlbGE= 162856 +RE9ORQ== 162857 +INmH2KfZhQ== 162858 +4LC+4LCV4LGN4LC3 162859 +IEJsb25k 162860 +54KS 162861 +IHVuYW5zd2VyZWQ= 162862 +2LHZitit2Kk= 162863 +IM66zrU= 162864 +IHZvaWVz 162865 +IEbDqWTDqXJhdGlvbg== 162866 +546p55qE 162867 +Tm90aWNpYXM= 162868 +INeg157XpteQ 162869 +IERUTw== 162870 +ZmFocmVy 162871 +INC30LXQvNC70Y8= 162872 +6YCA5qy+ 162873 +IHBob3Rvdm9sdGFpYw== 162874 +4KSh4KWH4KSf 162875 +dW1haGE= 162876 +5q+b54mH6auY5riF5YWN6LS56KeG6aKR 162877 +IHJlbmFpc3NhbmNl 162878 +IHNwb3J0aWZz 162879 +LWly 162880 +IHN3ZWF0ZXJz 162881 +IHZ1aWw= 162882 +U2l0dWF0aW9u 162883 +INCe0YLQstC10YI= 162884 +b2tlc3Q= 162885 +0L7Qs9GA0LDQvNC8 162886 +0L3QsNC50Ys= 162887 +IGFzZW50 162888 +IGRlcHJlY2lhdGlvbg== 162889 +IGN1YW50 162890 +IFRPTw== 162891 +IM60z4k= 162892 +IGdlc2Nobg== 162893 +IEhPVVJT 162894 +IGVzdGFjaW9uYW1lbnRv 162895 +IMO2bsO8bQ== 162896 +INC+0YXRiNCw0Yg= 162897 +PXVybA== 162898 +IFdoaXRlbmluZw== 162899 +X1JT 162900 +QWN0aXZv 162901 +IOC4meC5ieC4sw== 162902 +IFNlcmk= 162903 +IM61zr3OtM65zrE= 162904 +aWxpdGFyeQ== 162905 +cGF1 162906 +IGZvbmRhbWVudGFsZQ== 162907 +LkV4ZWN1dG9y 162908 +L2NvbXBhbnk= 162909 +YW1icmE= 162910 +INKb0YvQt9GL 162911 +IHJlZ3Jlc2Fy 162912 +5LqL5oOF 162913 +Zm9ydHVuZQ== 162914 +W3JhbmQ= 162915 +ICoqLwoK 162916 +CXNjYWxl 162917 +INGe0L8= 162918 +IERlbHBoaQ== 162919 +2YXbjNmE 162920 +IFl1bQ== 162921 +IHJlc2lkZW50ZQ== 162922 +IHBo4bun 162923 +INmE2K3Yp9i4 162924 +yJlh 162925 +IEZhemVy 162926 +IGNzcg== 162927 +0LjRgdGC0L7Qsg== 162928 +IMWfyZlraWxkyZk= 162929 +cHRlc3Q= 162930 +4Ka/4Kam4KeH4Kaw 162931 +LnRvb2xib3g= 162932 +IE11ZmY= 162933 +X3N1YnNldA== 162934 +b2tlbw== 162935 +SW5kb25lc2lh 162936 +RENG 162937 +IGd1cmx1xZ8= 162938 +UHVyY2hhc2Vk 162939 +IGRlY2xhcmFy 162940 +4oCM4LCs 162941 +5oiR5YCR 162942 +4KWr4KWm 162943 +e3N1cA== 162944 +2LnYqNiv 162945 +IGZlcm1lcg== 162946 +IEJvb2tlcg== 162947 +aXJvbmQ= 162948 +4KeA4Kaq 162949 +LmxvZ2ljYWw= 162950 +4YOg4YOd4YOR4YOQ 162951 +PENvbnRhY3Q= 162952 +Z2lkZQ== 162953 +LWRpdmlkZXI= 162954 +INi02LnYp9ix 162955 +4KS+4KSw4KWN4KSh 162956 +IHNramVy 162957 +L01BWA== 162958 +ZXRyb2ZpdA== 162959 +IFBpY2tlcg== 162960 +IEdyb29t 162961 +IGppc3RnxKd1 162962 +IHRyb3V2ZXo= 162963 +YXNvYW5p 162964 +4K6/4K6y4K+I4K6v4K6/4K6y4K+N 162965 +INeZ16jXldep15zXmded 162966 +QkNE 162967 +IEJlZ2Vnbg== 162968 +IGJhcnJhZ2U= 162969 +SUNLRVQ= 162970 +IFJvaw== 162971 +IEV4YW1pbmU= 162972 +O2FtcA== 162973 +IGFsbG93YW5jZXM= 162974 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163020 +asOzcm4= 163021 +TWljaGlnYW4= 163022 +X1Nob3VsZA== 163023 +4YOU4YOU4YOR4YOh 163024 +INC+0YHQvtCx0L4= 163025 +ZXRpbWVz 163026 +INio2YrYpw== 163027 +INC/0q/Rgg== 163028 +rZU= 163029 +INGC0YDQtdCy 163030 +IHVtZ2VzZXR6dA== 163031 +INmF2KrYudiv2K8= 163032 +IHByaXZhY2lkYWQ= 163033 +INGE0LDRgNKz 163034 +5Zy+ 163035 +IGNhbGxlcnM= 163036 +IFByZXNsZXk= 163037 +IG1lc29z 163038 +dWdhdGVk 163039 +IEludmlzaWJsZQ== 163040 +IEJlbGVkaXll 163041 +aXNheW8= 163042 +IO2MrA== 163043 +INee15DXlg== 163044 +IGFjw6E= 163045 +emFubw== 163046 +LmNoYXB0ZXI= 163047 +IGNoYWlkaA== 163048 +c3NjaHV0eg== 163049 +WmVyb3M= 163050 +INec157Xkw== 163051 +IGNpdWRhZGFubw== 163052 +IGhvbWVy 163053 +dW1uaQ== 163054 +YWxjb24= 163055 +2LnYr9mK2K8= 163056 +IGFzY2VudA== 163057 +IGFlc3RoZXRpY2FsbHk= 163058 +cm9yZQ== 163059 +RWxm 163060 +IGRpYXBocg== 163061 +IEFicmFt 163062 +X211bHRpcGxpZXI= 163063 +X2V2ZXJ5 163064 +LmZpcnN0bmFtZQ== 163065 +TE9WRQ== 163066 +INin2YTYrtin2YXYsw== 163067 +IEh1ZmZpbmd0b24= 163068 +0YPRgNCw0Ls= 163069 +RW50aWRhZA== 163070 +IEZyZWlzcGllbGU= 163071 +IEJhdWVybg== 163072 +IGFwcHJvdmluZw== 163073 +IGdseWM= 163074 +IGdlZGFjaHRl 163075 +IG9sbWFx 163076 +LWZlZA== 163077 +IHNrdWx1 163078 +INGB0YDQtdC00YHRgtCy0LDQvNC4 163079 +4YOY4YOZ4YOQ4YOo4YOY 163080 +IFdpc2hlcw== 163081 +LnB1cmNoYXNl 163082 +IHdlcnM= 163083 +IOqzoOugpA== 163084 +aW5kYW4= 163085 +IEZvcnR5 163086 +IOyVnuycvOuhnA== 163087 +YWFqdQ== 163088 +dHhu 163089 +QW56ZWlnZQ== 163090 +Zm9ybXVsaWVy 163091 +LmNvcnJlY3Q= 163092 +IGV4aGliaXRvcnM= 163093 +IG1hYW11bGth 163094 +cm95YQ== 163095 +bmllbmll 163096 +INmG2qnZhA== 163097 +IOCqmuCqvuCqsuCrgA== 163098 +INiz2LnZiNiv2Yo= 163099 +6YCa6K6v 163100 +IEVseQ== 163101 +xLFsxLFi 163102 +TmVu 163103 +IG5lZ2F0ZQ== 163104 +16LXlg== 163105 +IGVmZmV0dGk= 163106 +IGxpc2E= 163107 +Z3lt 163108 +6LeD 163109 +5YyF6KOF 163110 +INC90LXQvNCw 163111 +IEdzdA== 163112 +INC00LXQv9GD0YI= 163113 +IEFwb3RoZQ== 163114 +IMmZbcmZaw== 163115 +IGRvdWJ0ZnVs 163116 +INGB0L/QvtGB0L7QsdGB0YLQstGD0LXRgg== 163117 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164320 +Vmlld2luZw== 164321 +YXJkxLE= 164322 +IGRlcml2YQ== 164323 +IENvdXJzZXdvcms= 164324 +IOCmqOCmvuCmlw== 164325 +IOCmh+CmpOCmv+CmueCmvuCmuA== 164326 +IGxhcnZhZQ== 164327 +aW50dmFs 164328 +INGE0LDQsQ== 164329 +4LGH4LCo4LC/ 164330 +IERpc2N1c3Npb25z 164331 +IOCwmw== 164332 +IHNpbGlrb24= 164333 +IGtpamtqZQ== 164334 +Ymhh 164335 +ZW52b3Vk 164336 +INC/0LDRgNC70LA= 164337 +IGF2YWlz 164338 +IE5BVElPTkFM 164339 +IOCmnOCmvuCnn+Cmlw== 164340 +IEdyZWVud29vZA== 164341 +Z2FydGVu 164342 +IHBlcnNlYw== 164343 +IFBlcXU= 164344 +IGFoYXlk 164345 +X2Jz 164346 +X0ZJWEVE 164347 +4K6/4K6v4K6u4K+N 164348 +IHZlc3RlZA== 164349 +IOCqquCqsOCqpeCrgA== 164350 +INCe0KE= 164351 +0LDRj9Cy 164352 +15vXnteU 164353 +4Kq/4Kq44KuN4Kqf 164354 +4YOg4YOU4YOi 164355 +bG9jaA== 164356 +IGV4cGVkaXRlZA== 164357 +aW5jacOzbg== 164358 +IOC2veC2guC2mg== 164359 +IG1lcmdlcnM= 164360 +IFBhdHR5 164361 +ZHBp 164362 +IG1hdXJpcw== 164363 +4YOU4YOc4YOU4YOR4YOa 164364 +INmG2LPYrtmH 164365 +IOWkqeWkqeS4reW9qeelqOS8mg== 164366 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+IHTJmWzJmWI= 164414 +IFNjYW0= 164415 +0Z7Qu9GP 164416 +IEp1Ymls 164417 +INm+2qk= 164418 +IFNoZWxsZXk= 164419 +INin2YTZg9mH2LHYqNin2KbZitip 164420 +IGtvbnNh 164421 +IElzcmFlbGlz 164422 +IMOubA== 164423 +L3BsYWNl 164424 +IOCuteCuv+Curg== 164425 +Lm5paA== 164426 +z4DPjM69 164427 +IOCkuOCkruCljeCkruClh+CksuCkqA== 164428 +IOWkqeWkqeS4reW9qeelqOWumOaWuQ== 164429 +IGZlbWVuaW5v 164430 +4K+B4K614K6k4K+B 164431 +IG5vcm1hbGVtZW50 164432 +IGV4Y2VwdGlvbm5lbGxl 164433 +LXNjcmlwdA== 164434 +Q3Jlbw== 164435 +IHJhaW5mb3Jlc3Q= 164436 +IOCkhuCkluCkv+CksA== 164437 +IGNsYWQ= 164438 +IOydtOuKlA== 164439 +INKb0Lg= 164440 +IHbDpGx0 164441 +IEthbXBhbGE= 164442 +INC00LXQudC00ZY= 164443 +Z3JhcGhz 164444 +IFZlcnNpb25z 164445 +4LKk4LON4LK1 164446 +IGZvcmJpZA== 164447 +YXRhZQ== 164448 +IGRldmFu 164449 +IGdlZ24= 164450 +IOqzteuPmQ== 164451 +IGdlc2NoYWZmZW4= 164452 +J10uIic= 164453 +44GM44GC44KK44G+44GZ 164454 +U3BvdGlmeQ== 164455 +IExlYWRwYWdlcw== 164456 +IGJvb3R5 164457 +IOCqqOCqueCqvw== 164458 +5oCO5LmI5LiL6L29 164459 +R3JpcA== 164460 +IOCqneCqoeCqqg== 164461 +IGFhbnNwcmFr 164462 +4Ka/4Kag 164463 +INi02qnYs9iq 164464 +4KS/4KSs4KS+4KSw 164465 +bm9r 164466 +IG11bHRpbGluZ3VhbA== 164467 +IHbDpHJsZGVu 164468 +LkFjdGlvbnM= 164469 +LXNldmVu 164470 +JnBhZ2U= 164471 +aWpza2lo 164472 +IE91dHJv 164473 +IFRlYXI= 164474 +IHByaW5jaXBhbGx5 164475 +77yM5L2/ 164476 +UHJvamV0 164477 +IOCksuCkl+CkvuCkr+CkpA== 164478 +6YCf5aCx 164479 +INC80YPRgdGD0Ls= 164480 +IGNvbnNvbGF0aW9u 164481 +aGVhbA== 164482 +4YOt4YOY4YOg4YOT4YOU4YOR4YOQ 164483 +IGluc3VsdGluZw== 164484 +4oKs4oCd 164485 +fS4NCg== 164486 +LHJpZ2h0 164487 +IGdlYm9vcnRl 164488 +yZl0bMmZ 164489 +a3RpbWU= 164490 +IEFibGF1Zg== 164491 +X2RpZQ== 164492 +IHVuZGVyc3RhdGVk 164493 +INKb0LDQttC10YLRgtGW 164494 +IGRlYXJseQ== 164495 +LlNu 164496 +IG1hbG9z 164497 +TmVpbg== 164498 +IGVzcGFuaG9s 164499 +IEFyY2hpdg== 164500 +VHJpYWxz 164501 +IOCqueCqnOCrgQ== 164502 +IHN0w7Zk 164503 +wq1y 164504 +IGJyYXpv 164505 +IHRoaeG6v3U= 164506 +IGJyYXppbA== 164507 +IEthdGVnb3JpZW4= 164508 +IM60z4HOsQ== 164509 +YXJyaQ== 164510 +X3NwYWNpbmc= 164511 +IENyaWFu 164512 +INC/0YDQvtC90LjQug== 164513 +aXJ0aWVz 164514 +IGhvbm4= 164515 +IHBhcmHDrnQ= 164516 +QnJlYWQ= 164517 +44Kk44Oz44OB 164518 +INCx0LDRiNC60LDRgA== 164519 +Rmli 164520 +dW1hYg== 164521 +IGh1bWFuZQ== 164522 +0LfQsNGC 164523 +IG1wbA== 164524 +a3Rlcw== 164525 +IETDoQ== 164526 +4LiK4LmI4Lin4Lii 164527 +IHByw6lub20= 164528 +IGphaQ== 164529 +IGFuZ3VuaQ== 164530 +d2VjaHNsdW5ncw== 164531 +LlByZWZlcmVuY2U= 164532 +KXQ= 164533 +X3NoYXBlcw== 164534 +IHRyYWJhbGhhZG9y 164535 +IEVuYQ== 164536 +IM6zzq/Ovc61z4TOsc65 164537 +cnVtcA== 164538 +INGB0Y/QvA== 164539 +LnJhYmJpdA== 164540 +IGNhbXBlw6Nv 164541 +5YWx5Lit5aSu 164542 +4oCd77yb 164543 +L3Byb3BlcnR5 164544 +IGZvcmRlbA== 164545 +J2xpc2g= 164546 +c3R1bmRlbg== 164547 +ICAgIAkNCg== 164548 +IEVJ 164549 +IHN0ZXdhcmRzaGlw 164550 +7IaM64WE 164551 +0LHQsNGA0LDRgg== 164552 +IExvb20= 164553 +IGRpY3Rh 164554 +L3RhZw== 164555 +IHNla3N1ZWxl 164556 +IGthdWc= 164557 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+IC4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4uLi4= 164601 +aWJpbGl0w6R0 164602 +IOC0h+C0qOC1jeC0pOC1jeC0r+C0qOC1jQ== 164603 +w6RocnVuZ2Vu 164604 +T3Ji 164605 +YW5kdXM= 164606 +IG9iamVjdCdz 164607 +IOaWsOWkqeWkqeW9qeelqA== 164608 +44OW44Op 164609 +IM+Dz44= 164610 +IGV4cGxpcXU= 164611 +X2lvY3Rs 164612 +IM6yzrnOsg== 164613 +IHZlcnN0YWFu 164614 +c3Rpbg== 164615 +4LOG4LKv4LK+4LKX 164616 +IFRvbWF0bw== 164617 +IGplZG5vdGxpdg== 164618 +PT0k 164619 +w6ZyaW5n 164620 +IFNjaG9sYXJzaGlwcw== 164621 +IGJvZg== 164622 +IOqwkuydhA== 164623 +IG5ld2JpZXM= 164624 +4K+A4K6w4K+N 164625 +IEh1bnRlcnM= 164626 +IGVuZGVyZWNv 164627 +15nXmNec 164628 +2pHYpw== 164629 +IG1tZXThu6V0YQ== 164630 +bWVhc3VyZW1lbnQ= 164631 +KGRlcA== 164632 +IENvbXVuaWNhY2nDs24= 164633 +IFVtZmFuZw== 164634 +bGljdGluZw== 164635 +dW5jdHVhdGlvbg== 164636 +5YiG6aGe 164637 +KENvbnRyb2w= 164638 +2YXYsdin2YY= 164639 +IEhvcnQ= 164640 +IHloZGVzc8Ok 164641 +IHJlc2V0dGluZw== 164642 +IETDpA== 164643 +IHZpYWdnaW8= 164644 +IGd5w7Nn 164645 +IOWNmuS5kA== 164646 +IGdhcmRlbmVy 164647 +IHBvZXPDrWE= 164648 +xZ9kaXI= 164649 +IG9ubmlzdA== 164650 +ZXBp 164651 +IHZlcsOkbmRlcm4= 164652 +IEjDtHRlbA== 164653 +IFnDtm5ldA== 164654 +IE11Y2hvcw== 164655 +IGRvY3VtZW50ZW4= 164656 +VHlwaWNhbA== 164657 +IHJlc3RvcmF0aXZl 164658 +4KSo4KWH4KSq4KS+4KSy 164659 +IExlZWZ0aWpk 164660 +IGZhbWluZQ== 164661 +KCl9LA== 164662 +IOyEnOuhnA== 164663 +QlVZ 164664 +INGA0YvRiA== 164665 +a29yYg== 164666 +LmdtYWls 164667 +IEFMRVJU 164668 +YmxlbmQ= 164669 +IHNlbnRhZG8= 164670 +ZG93 164671 +IOCkteCkv+CknOCljeCknuCkvuCkqA== 164672 +UmI= 164673 +IOCkruClgeCkq+CljeCkpA== 164674 +IGRlYm91bmNl 164675 +X0luamVjdGVk 164676 +0LDRgtGB0Y8= 164677 +4Z+B4Z6P4Z+S4Z6P 164678 +INC/0YDQtdC00LvQsNCz0LDQtdC8 164679 +15nXnNeZ 164680 +IGRlcHJlc3NpdmU= 164681 +IGludGVyZmVyaW5n 164682 +SW5mcmFzdHJ1Y3R1cmU= 164683 +IHBvc2FtZQ== 164684 +IG1lZGFyYmU= 164685 +INqp2LHYp9qG24w= 164686 +2YPZjg== 164687 +Olwi 164688 +LkV4Y2Vs 164689 +IOODmg== 164690 +aGxp 164691 +LlBpeGVs 164692 +IHphbmc= 164693 +CSANCg== 164694 +0YfQvdGL0Lw= 164695 +X3lhbWw= 164696 +IHVycmFpbm4= 164697 +IOaMhw== 164698 +U2VwYXI= 164699 +IHVyxI0= 164700 +LmRyaXZl 164701 +INGA0LDQt9Cy0L7QtA== 164702 +4LGG4LCo4LGN 164703 +INC/0YDQuNCz0L7RgtC+0LLQuNGC0Yw= 164704 +X21hZ2lj 164705 +IGFjY2VwdGU= 164706 +Z2V0dGV4dA== 164707 +IG5kZWdl 164708 +IEV4dHJhcw== 164709 +IGFsbG9jYXRpbmc= 164710 +INiz2YXbjNiq 164711 +TWlzdA== 164712 +IGVpZ2lu 164713 +IERFQUQ= 164714 +INek15DWtw== 164715 +Q0o= 164716 +QUdJTkc= 164717 +LnJhaXNl 164718 +a29uYQ== 164719 +INC30L7QvdGL 164720 +LlNN 164721 +LXRlc3RlZA== 164722 +IGLhurk= 164723 +LnJlcA== 164724 +4Ka44Kau4Kef 164725 +0L7Qu9C+0LbQtdC90LjQtQ== 164726 +IElzaQ== 164727 +IHLDrWc= 164728 +IHplbWxqaQ== 164729 +IFJoaW4= 164730 +IEp1ZGdlcw== 164731 +IGRhcmJh 164732 +IGNvbGxlY3Rl 164733 +IENvbnR1ZG8= 164734 +TmFjaGRlbQ== 164735 +Lk5ld3M= 164736 +IEd1YXJkcw== 164737 +LnNheA== 164738 +IHRoeW0= 164739 +INio2KfYudiq 164740 +INC00LDRgtGL 164741 +LmludGVncg== 164742 +RkxJQ1Q= 164743 +IEVsaXNl 164744 +INCy0LjRgdGC 164745 +LVBhdWw= 164746 +INC90ZbRhw== 164747 +IEFyY2hl 164748 +RXN0b3k= 164749 +INGB0YLRgNGD0LrRgtGD0YDQsA== 164750 +ICVb 164751 +IHRlZ2Vuc3RlbGxpbmc= 164752 +IFN0YXJy 164753 +IFdpeA== 164754 +IENvbnRyYXN0 164755 +IGJlZ2Vn 164756 +0LDRgtC10LvRjNGB0YLQstC+ 164757 +0LXQu9GW0Lo= 164758 +INC70YM= 164759 +IHJ1d2E= 164760 +4YOj4YOX4YOu 164761 +YW5hc2Fu 164762 +IGRvY2VudA== 164763 +IOCquOCqruCquA== 164764 +IHjDqXQ= 164765 +IGZvZ3k= 164766 +YmxleQ== 164767 +X0xpbms= 164768 +IHDDug== 164769 +RU5URVM= 164770 +4LS14LWB4LSu4LS+4LSv4LS/ 164771 +IEphaQ== 164772 +bWFuxLE= 164773 +IEhPU0k= 164774 +cmVlaw== 164775 +aWZhaA== 164776 +QVRPTQ== 164777 +IOC0leC0ruC1jeC0ruC0v+C0seC1jeC0seC0vw== 164778 +b3Jlbw== 164779 +4KS24KWN4KS14KSw 164780 +IGVuZW1pZ28= 164781 +INmG2LPYqg== 164782 +IGVubmVt 164783 +IMOcYmVyZw== 164784 +IHdlcmtlbGlqa2hlaWQ= 164785 +aXN0aXQ= 164786 +ICcsJyw= 164787 +IHLDqWFsaXPDqXM= 164788 +R1JJRA== 164789 +IGludGVycHJldGE= 164790 +IGltcGVkYW5jZQ== 164791 +IGFubmlo 164792 +4LSn4LS/4LSV 164793 +INC00L7RgdGC0LjQttC10L3QuNGP 164794 +RGVjbGFyYXRpb25z 164795 +LmF0Z3VpZ3U= 164796 +KilfXw== 164797 +IExO 164798 +INC/0YDQvtGB0Yw= 164799 +IHBlcnN1bmFz 164800 +L3Jlc2V0 164801 +6aqX5bGA5o+t56eY 164802 +57uE5YWt 164803 +Rmlt 164804 +5Ymv5Lmm6K6w 164805 +IOCqteCrgA== 164806 +INiq2YXYp9mF24w= 164807 +0YHQvdGL 164808 +Il0o 164809 +IGV4cGxvZGluZw== 164810 +IG92ZXJsb2FkZWQ= 164811 +IOS4ieWbvQ== 164812 +IEltYWdlbg== 164813 +INGC06nRgNGC 164814 +IHNlbWJsYWl0 164815 +b2dvbg== 164816 +KE5vdGlmaWNhdGlvbg== 164817 +IHBvaXNzb25z 164818 +cm9vbmc= 164819 +7ZiE7J6s 164820 +INGC05nQvA== 164821 +dXNlcmluZm8= 164822 +IOuCoOynnA== 164823 +IGFkYXB0YWNpw7Nu 164824 +IGNhdXNhZG8= 164825 +INCw0LvQutC+0LPQvtC70Yw= 164826 +IHRlaXM= 164827 +IHN5Z2RvbQ== 164828 +IHZlcmhpbmRlcnQ= 164829 +dXNjaHQ= 164830 +W2xldmVs 164831 +IHBlcnNlbg== 164832 +4Kq44Kq+ 164833 +IFJlbW9kZWxpbmc= 164834 +IHdheWE= 164835 +6r+I 164836 +SmFjb2I= 164837 +IHDFmWlq 164838 +dW1hY2hlcg== 164839 +KGNvbW1pdA== 164840 +IGJlb29yZGVsaW5nZW4= 164841 +IGlob3A= 164842 +YXBvc3Q= 164843 +T3V0Ym91bmQ= 164844 +INCw0YHQv9C10LrRgg== 164845 +5Y2a5aOr 164846 +LWNoaXA= 164847 +IG7Do2VzdGU= 164848 +INii2YXYr9mH 164849 +IGZlbGx5 164850 +IHZlcndhY2h0aW5n 164851 +IOe7j+e6rA== 164852 +UGFydGU= 164853 +IG3FsWvDtg== 164854 +RGFzcw== 164855 +Lkl0b2E= 164856 +IE11a2FtYQ== 164857 +INW41oLVvdW41oLVtNW2 164858 +2K7Yp9mG 164859 +IHp1c2FtbWVuZw== 164860 +LnRlbXBlcmF0dXJl 164861 +IHNlbHZmw7hsZ2VsaWc= 164862 +IEVyaWNr 164863 +4LGC4LCw4LGN 164864 +VG91Y2hlcw== 164865 +YmFzb2tl 164866 +Lm5vdGlmaWNhdGlvbnM= 164867 +IGZvbGdlbmQ= 164868 +5aSN5p2C 164869 +44GZ44KL44Go 164870 +IOCkleCljeCkt+Clh+CkpOCljeCksOCli+Ckgg== 164871 +L3dpZGdldA== 164872 +IHBlbml0 164873 +IHByb2plY3Rpbmc= 164874 +INmF2YPYp9mB2K3YqQ== 164875 +dWFi 164876 +IFpvbmVz 164877 +15nXk9ef 164878 +IGNveQ== 164879 +Lm1vYg== 164880 +IHDFjQ== 164881 +IHBhbmTDqW1pZQ== 164882 +IGxhdWs= 164883 +IGJhdGk= 164884 +44OG44Oz 164885 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171826 +INin2YTYudmG2KfYtdix 171827 +IOCwpOCwpg== 171828 +UmVtYWlu 171829 +INC10LjSrdC10LjSs9OZ0LXQuNGC 171830 +KCco 171831 +2LHYqtmH2Kc= 171832 +INGF0YPQtg== 171833 +IEd3eW4= 171834 +IFZhbG9yZXM= 171835 +YXV0b2xvYWQ= 171836 +IExvbWJhcmRpYQ== 171837 +INC/0YDQtdCy0YDQsNGJ 171838 +INC20L7RgdC/0LDRgA== 171839 +U29i 171840 +INC40YHRgdC70LXQtNC+0LLQsNC90LjQuQ== 171841 +LmZpZw== 171842 +0LjSm9C4 171843 +YWRpbGxh 171844 +0LHQsNGA0q3QsA== 171845 +b2xhaXM= 171846 +IGhvbGE= 171847 +IG1hcmNoZXI= 171848 +aWplbnQ= 171849 +LkRhdGFzZXQ= 171850 +LXJlc2V0 171851 +X29wY29kZQ== 171852 +IOeOqeWutg== 171853 +aW5ub24= 171854 +IHZ1ZWxvcw== 171855 +U1VW 171856 +IGFsbG93YWJsZQ== 171857 +InRleHQ= 171858 +IOCyqOCyrg== 171859 +aXN0aWth 171860 +Y29ubmV4aW9u 171861 +4KSf4KWH 171862 +0LLQvtC4 171863 +INCx0LjQvQ== 171864 +VGxz 171865 +KFRv 171866 +IHN0cnVjdHM= 171867 +0JrRgNCw0YE= 171868 +IG1vdXJpcg== 171869 +ZW1icmll 171870 +IM6gzrHOvQ== 171871 +IMO+asOzbg== 171872 +dGhvcg== 171873 +YW5ncmlqaw== 171874 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171969 +IOCmueCniOCmm+Cmv+Cmsg== 171970 +IGlsbHVtaW5hdGluZw== 171971 +bWVya3Q= 171972 +IFRob3U= 171973 +IHBvbmllbmRv 171974 +0ZbQt9Cw0YbRi9GW 171975 +INS11b7WgNW41bo= 171976 +0YjQsNCz0LA= 171977 +IE1BTkFHRU1FTlQ= 171978 +zq/Ots6/z4XOvQ== 171979 +CVByb2R1Y3Q= 171980 +IOGDmOGDp+GDlQ== 171981 +IHZyaWpibGlqdmVuZA== 171982 +0LjRhtGD 171983 +INC+0YnQtQ== 171984 +4LGB4LC14LGB 171985 +cGNp 171986 +IGZyZXNoZXN0 171987 +IHN3YWxsb3dpbmc= 171988 +IGFjY2w= 171989 +INGB0LjQvdC0 171990 +bHVuZA== 171991 +IOCmueCmvuCmgQ== 171992 +IHNvbGl0YWlyZQ== 171993 +IGdlbGRpZw== 171994 +IOyeiOyWtOyEnA== 171995 +UmVsZXZhbnQ= 171996 +IGVhZw== 171997 +Y2hpZA== 171998 +IHNhbWxh 171999 +IHBlcmRlcmU= 172000 +IHR1cm5vdmVycw== 172001 +INin2LnYqtix2KfYtg== 172002 +IGxlYmFrYQ== 172003 +0JjRgdGC0L7Rh9C90LjQug== 172004 +INCz0YDQuA== 172005 +IEthdGhyeW4= 172006 +IHN3ZWF0eQ== 172007 +INmI2YXZhtmH2Kc= 172008 +IHRhbnRhbA== 172009 +IGJhbHNl 172010 +5YyX5Lqs5b+r 172011 +IGV2YXBvcmF0aW9u 172012 +INCw0YHQvtCx 172013 +IGVsZWt0cmlj 172014 +IGFzdHJvbmF1dHM= 172015 +LURlYw== 172016 +IHVncg== 172017 +Vml6 172018 +IEV4aXN0cw== 172019 +INC/0YDQtdC00YHRgtCw0LLQuNGC0Yw= 172020 +YmNj 172021 +IFNtYWxsZXI= 172022 +b3JlaQ== 172023 +IHBzZQ== 172024 +SUFN 172025 +IOCmheCmpOCmv+CmpQ== 172026 +KSkt 172027 +IOCkuOCkguCktg== 172028 +a2Vpbg== 172029 +xb5ub3N0 172030 +IG1vYmllbA== 172031 +YW1lbGVvbg== 172032 +V3Q= 172033 +IEtpbmRlcw== 172034 +IHR1cGU= 172035 +0JTQow== 172036 +IEVNQQ== 172037 +IElIdHRw 172038 +KCl7fQo= 172039 +IHVubmE= 172040 +amlyYQ== 172041 +b2xpY2E= 172042 +IHNhbGFt 172043 +CWZ1bGw= 172044 +V29ya3NoZWV0 172045 +IE1NTw== 172046 +LuCqhg== 172047 +IGNvbnRyYWNlcHRpb24= 172048 +IFBlcmZpbA== 172049 +IHJlZ3VsYXJtZW50ZQ== 172050 +wrAu 172051 +RkhJUg== 172052 +LWZhbW91cw== 172053 +IFTJmQ== 172054 +IFBlYW51dA== 172055 +0LLQtdC7 172056 +IOesrOS6jA== 172057 +IHN5bmNlZA== 172058 +Q2xhcg== 172059 +IM60z4HOrA== 172060 +X2RlcGFydA== 172061 +1aHWgdaA1aXVrA== 172062 +IHByZW9jdXBhcg== 172063 +INCQ0LHRgNC4 172064 +IHJlbnRhYmxl 172065 +bWlxdWVz 172066 +IG1vaXN0dXJpemluZw== 172067 +IGludGVycHJldGHDp8Ojbw== 172068 +ZWJseQ== 172069 +0LDQu9C40Lg= 172070 +INin2YTYo9mF2YrYsdmD2YrYqQ== 172071 +IOCyuOCyruCyuOCzjeCyrw== 172072 +dmVlZG9yZXM= 172073 +IG5ldXJvc2NpZW5jZQ== 172074 +d2FyZGVu 172075 +U1NJ 172076 +INC40LfQvw== 172077 +CWhpZGU= 172078 +IEJlemly 172079 +IEZyYW0= 172080 +IHNhcGVyZQ== 172081 +PEVudHJ5 172082 +cG93ZXJz 172083 +INC+0L/Rg9Cx0LvQuNC6 172084 +IHt9DQoNCg== 172085 +IGJ5Z2dl 172086 +77yu 172087 +z4TOuc66z4zPhM63z4TOsQ== 172088 +IGVuZW1pZ29z 172089 +IGNoaWxkcw== 172090 +IHBvxYI= 172091 +INCw0LvQsNK7 172092 +IHdoYWthbWFo 172093 +IGplZGh1 172094 +2KfYsdmK2YY= 172095 +INiq2LnZhNmK2YI= 172096 +4oCZ4Kaw 172097 +0LbQtdC7 172098 +IGthxbxkZWdv 172099 +IHJla2xh 172100 +IFBhcmQ= 172101 +INeh15w= 172102 +VmlydXM= 172103 +IOCmuOCmquCnjeCmpOCmvuCmuQ== 172104 +IFNoYW1l 172105 +LkNPTVA= 172106 +IHNla3TDtnI= 172107 +IM6/z43PhM61 172108 +IMSRYXU= 172109 +LkFsaWdu 172110 +INin2YTZhdiz2YTZhQ== 172111 +2KzYp9io2Kk= 172112 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172205 +IGNvbm9jZW4= 172206 +c2VtaW4= 172207 +aMOkbmc= 172208 +IOygnO2VnA== 172209 +CVZlYw== 172210 +INm+2YTYp9mG 172211 +IGfDs3A= 172212 +ZXJnZXM= 172213 +INmF2LPYqtmC2YQ= 172214 +IHRpbHM= 172215 +INiq2LnYsduM2YE= 172216 +IHPDs2M= 172217 +LOWkp+mmmeiViQ== 172218 +IOCkpuClh+CkluCkleCksA== 172219 +IHN1c3BlbnNpw7Nu 172220 +Q0xF 172221 +IEFOR0U= 172222 +IOC4meC4tA== 172223 +IEthcmxzcnVoZQ== 172224 +IFJpZnQ= 172225 +SVpa 172226 +IEhs 172227 +IOWco+S6mg== 172228 +YXN0aWE= 172229 +IOCquOCqruCqr+CqruCqvuCqgg== 172230 +LkludGVydmFs 172231 +4Z624Z6C 172232 +INCx0LDQudC0 172233 +IFNvY2llZGFkZQ== 172234 +IHBlag== 172235 +IHBhc3Npb25hdGVseQ== 172236 +VW5zZXQ= 172237 +IOCqnOCqvuCqqA== 172238 +IHJ1bW8= 172239 +X0VMRU1FTlRT 172240 +IG1vY2hpbGE= 172241 +IHRlY3Q= 172242 +Y2FzdGluZw== 172243 +4oCZw65sZQ== 172244 +IGVudHTDpA== 172245 +RW1pc3Npb24= 172246 +IM6yzrvOrQ== 172247 +dWZmbWFu 172248 +5oqV5rOo56uZ 172249 +2YHYsdmG2LM= 172250 +cGFnaW5n 172251 +IG9wZHJhY2h0ZW4= 172252 +Z2Vib3V3 172253 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180889 +IGthd2c= 180890 +IHJhcHBvcnRl 180891 +RnVuY2lvbmVz 180892 +INW/1aHVtg== 180893 +IGluZmxpY3RlZA== 180894 +IEFuYW5k 180895 +bWl0Z2xpZWQ= 180896 +Z2hhbmlzdGFu 180897 +INCd0LDRhtC40L7QvQ== 180898 +7KCV67aA 180899 +INin2ZPYptuM 180900 +w7NuYcOt 180901 +fV0sCg== 180902 +57Ku 180903 +INGI0YLQsNCx 180904 +d2VuZHVuZ3M= 180905 +IGFwcm9wcmk= 180906 +IOCkreCkj+CksA== 180907 +LXdvdw== 180908 +KGluZmxhdGVy 180909 +X2Vy 180910 +PWVtYWls 180911 +IERhYXJkb29y 180912 +IGthcmFt 180913 +0LPQsNC00LA= 180914 +IFRhdXI= 180915 +15fXqNeZ 180916 +cGVyaQ== 180917 +4LK+4LKo4LON4LKv 180918 +IGtyZWRpZXQ= 180919 +0L7Qt9GP0Lk= 180920 +INC/0L7QstC10YfQtQ== 180921 +INmF2YbYuNix 180922 +INmG2YjZig== 180923 +7qS07qS0 180924 +LWludGVncg== 180925 +d2VsYQ== 180926 +IO2KueynlQ== 180927 +IHBhZ21pbWluYQ== 180928 +S290 180929 +IEV4cHJlc3Npb25z 180930 +5ru/ 180931 +IGdsYWNpZXJz 180932 +aXJw 180933 +w7xuw7x6 180934 +IG15c3TDqXJpZQ== 180935 +IG9sdWw= 180936 +IGJlZHJhYWd0 180937 +aWdubw== 180938 +IGRvYXJl 180939 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180985 +IGTDqWNyZXQ= 180986 +KFBvcw== 180987 +IHR1bmdzdGVu 180988 +b2hhbnk= 180989 +IOCkpuCksOCljeCktuCkqA== 180990 +IFRibA== 180991 +IOCkueCli+CksuCkvg== 180992 +RWF0aW5n 180993 +5YiG6ZCY 180994 +INCy0LXQu9C40LrQvtC70LXQvw== 180995 +IEtvbnRyb2xs 180996 +IHNtYXNoaW5n 180997 +LW55xYg= 180998 +IHN5bmRpYw== 180999 +T3Bwb25lbnQ= 181000 +IOC0h+C0qOC1jeC0pOC1jeC0r+C1uw== 181001 +0LXQutCy0LDRgg== 181002 +ZmVhcg== 181003 +LmFnZ3JlZ2F0ZQ== 181004 +IOCmruCnjA== 181005 +INC30LTRltC50YE= 181006 +IHBvdWNlcw== 181007 +IOCksOCkleCkrg== 181008 +IHN0cmNocg== 181009 +IOCypOCyquCzjeCyqg== 181010 +4KaV4KeN4Ka34KeH4Kaq 181011 +INC/0L7RgNC+0LQ= 181012 +IHjhuqN5 181013 +5rig6YGT 181014 +INC+0LzTr9C3 181015 +5Y2x6Zmp 181016 +X0hE 181017 +WmltYmFid2U= 181018 +IEhq 181019 +INin2YTYrtmE2YE= 181020 +INC/0YDQvtCz0YPQuw== 181021 +IGFsY29ob2xpc20= 181022 +TW9tZW50dW0= 181023 +6LSh54yu 181024 +IHBsYXRlZm9ybWVz 181025 +IHN1c3U= 181026 +4KSw4KWH4KS24KSo 181027 +IEJpdGU= 181028 +IOCqruCqueCqv+CqqA== 181029 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181080 +IOW+ruS/oeWFrOS8l+WPt+WkqeWkqeS4reW9qeelqA== 181081 +IFBhZHM= 181082 +INC30LDQtNCw0L3QuNGP 181083 +IG5nYWdhZHVoYW4= 181084 +LWxoZXM= 181085 +0LTTqdOp 181086 +INCz0YDQsNC80L7Rgg== 181087 +IEFjdXRl 181088 +c2NoZWR1bGVk 181089 +5piv55yf55qE5LmI 181090 +IG1vbHRlbg== 181091 +INiq2LHYutio 181092 +IG1pc2E= 181093 +5pS55Y2V 181094 +IGNvbXB1dGFkb3Jlcw== 181095 +0YDQvtC2 181096 +INmD2LHZitmF 181097 +INCx0LDQudCz0YPRgw== 181098 +CUNvbW1hbmQ= 181099 +w4dP 181100 +IEJvdXJuZW1vdXRo 181101 +U01BUlQ= 181102 +KSkvKA== 181103 +IHNwcmFuZw== 181104 +X3Rocg== 181105 +Q2c= 181106 +IHltdw== 181107 +IERSRUFN 181108 +T0RN 181109 +QkFDS0dST1VORA== 181110 +IOC4q+C4suC4gQ== 181111 +INCw0L3QsNC/0YU= 181112 +L0xpbnV4 181113 +0JzQvdC1 181114 +Q0xPQ0s= 181115 +IGdldnVsZA== 181116 +IGthdWY= 181117 +IE1mdW1v 181118 +IGJsYWNrb3V0 181119 +INmK2YjYs9mB 181120 +IOCkuOCkguCksOCkleCljeCkt+Ckow== 181121 +IOCkquClgOCkj+Ckrg== 181122 +IHByaW5jZXNh 181123 +77yM5a+55LqO 181124 +LG5vZGU= 181125 +KGVuYWJsZWQ= 181126 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181318 +INiq2YjYp9mB2YI= 181319 +LlJlZ2V4 181320 +w6RzZXI= 181321 +CXBheWxvYWQ= 181322 +IGVsZWN0cm9seXRl 181323 +IGdzbQ== 181324 +IGxsYW1hbg== 181325 +IOC0leC0v+C0n+C1jeC0nw== 181326 +IGRvam8= 181327 +IEVyb3Rpc2s= 181328 +IGFkb3Jv 181329 +IG9wbG9zc2Vu 181330 +0YHQuNCw 181331 +Q29uc3VtZXM= 181332 +IGZhb2w= 181333 +IHNjYXJ2ZXM= 181334 +IHZlY2lubw== 181335 +INix2pg= 181336 +4KaG4Kac 181337 +IFPEhQ== 181338 +IHN1cmdlZA== 181339 +IOCkquCkueCkv+CksuClhw== 181340 +LS0tLS0tLS0tLS0tLS0KCg== 181341 +IHN1Y2VkaWRv 181342 +ZXhjZWxsZW50 181343 +RWFy 181344 +IOC0pOC0r+C1jeC0r+C0vuC0sQ== 181345 +IHZpcm91 181346 +IFJlbWFpbmluZw== 181347 +INC+0YLQutCw0LfQsNGC0YzRgdGP 181348 +IEFsZ3VuYXM= 181349 +VWRw 181350 +IGRoaWc= 181351 +cmV0cm8= 181352 +w4lz 181353 +IFhhbg== 181354 +IEJ1bQ== 181355 +0rPTmdGL0YE= 181356 +5oSf44GY 181357 +YmFzZXM= 181358 +IHBoZA== 181359 +44K244Kk44Oz 181360 +5Liq5bmz5Y+w 181361 +4LCo4LGA 181362 +X2dlbmVy 181363 +RWtz 181364 +IHN1bW1h 181365 +5Zuw6Zq+ 181366 +IEdvacOhcw== 181367 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181615 +IGNsw6F1cw== 181616 +dWVuemE= 181617 +44K444Oj44Oz 181618 +77yeCg== 181619 +IGNyw6lhdGl2aXTDqQ== 181620 +IGt5ZQ== 181621 +YW5lbmc= 181622 +w6HFmWU= 181623 +IGJvZGFz 181624 +IOC0huC0rQ== 181625 +IGJlZW5kZXQ= 181626 +IE1vcmk= 181627 +IOafsw== 181628 +bWFrZXM= 181629 +IHZlcmdlZXQ= 181630 +Ki8pCg== 181631 +55qE6L2v5Lu2 181632 +w6J0cw== 181633 +IGFsZW5l 181634 +CW5vZGVz 181635 +INmC2KjYsQ== 181636 +IOC0leC1geC0nuC1jeC0ng== 181637 +IFN1bmRlcmxhbmQ= 181638 +4K+N4K6k4K+N4K6k4K+B 181639 +INC40YfQutC4 181640 +IGxkYQ== 181641 +IGFsbGVnZXM= 181642 +IGRydWtrZW4= 181643 +aWNvcnA= 181644 +INi52LTZgg== 181645 +LS0tLS0tCgo= 181646 +LWZldGNo 181647 +L29wZXJhdG9y 181648 +IG1hbmNoZXM= 181649 +Vm9sbGV5 181650 +INC/0L7QtNCw0YfQuA== 181651 +1ZI= 181652 +z4fPjg== 181653 +IER1bW5lemU= 181654 +INC90LDQs9GA0YPQt9C60Lg= 181655 +IGFkZ2FuZw== 181656 +INC90LDQvNCw0LnQuNGI 181657 +IOq4iOyctQ== 181658 +0YrQvw== 181659 +LWl3ZQ== 181660 +LnBrZw== 181661 +amV1 181662 +YWfEpw== 181663 +IFdpbGxrb21tZW4= 181664 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181808 +INC+0YLRhdC+0LQ= 181809 +L3Byb2Nlc3M= 181810 +KGRpY3Rpb25hcnk= 181811 +4YOU4YOg4YOe 181812 +15XXoteU 181813 +S2VpdGg= 181814 +IGRhcmJ1 181815 +IGthdWR1 181816 +IEhlbmRyaXg= 181817 +IG9iZXJlbg== 181818 +IGJhY2hlbG9ycw== 181819 +4L2m 181820 +LW1hc2s= 181821 +IGN1bm5pbmc= 181822 +IHRhbGVudG9z 181823 +IFJhaW0= 181824 +INCw0pvRiNCw 181825 +aGxhaGlzb2E= 181826 +INC/0L7QutGD0L/QutC1 181827 +IEFCTw== 181828 +KCk9Pg== 181829 +0KHRgtC+0LjQvNC+0YHRgtGM 181830 +YmVyZWQ= 181831 +INin2LPaqg== 181832 +X2ZsdXg= 181833 +JnV1bWw= 181834 +LWRyaXZlcg== 181835 +Rk9SRA== 181836 +IOCuruCvh+Cusg== 181837 +IGluZmFudGlsZXM= 181838 +IOC3gOC3mg== 181839 +LkNydWQ= 181840 +KEhhdmU= 181841 +INS01bjWgtaE 181842 +Q1VEQQ== 181843 +LmZlZWRiYWNr 181844 +IG1lZXN0ZXI= 181845 +KGFjY291bnRz 181846 +IGZvc3RlcnM= 181847 +IMOubmNlcHV0 181848 +IM66z4HOrA== 181849 +15nXptef 181850 +IG1hdXZhaXNlcw== 181851 +IFBJUg== 181852 +INm+2KfZhtqG 181853 +4LKy4LKo 181854 +2YHYsdmC 181855 +IGVya2VubnQ= 181856 +IFVJR3JhcGhpY3M= 181857 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182552 +IGJldGVpbA== 182553 +VU5EUw== 182554 +IEJldG9u 182555 +IHdpbGRmaXJl 182556 +IHVuY2Fubnk= 182557 +IE55ZQ== 182558 +4oCZRW4= 182559 +4Lit4Lif 182560 +INis2Yraqtin 182561 +IHppcmNvbg== 182562 +IHJpZmZz 182563 +LlVp 182564 +IHloZGVu 182565 +0YPRgtGC0YPQug== 182566 +IHlrbg== 182567 +5YyZ 182568 +ZXN0ZXM= 182569 +5oOz5Yiw 182570 +15vXqteV15E= 182571 +IHdlZGdlcw== 182572 +INeR15TXqA== 182573 +amFsZQ== 182574 +4YOd4YOT4YOc4YOU4YOc 182575 +aWxpYW5v 182576 +IOCwquCxjeCwsOCwuA== 182577 +IERhdGFz 182578 +IHJpbXdl 182579 +INeR16rXmQ== 182580 +X2FycmF5cw== 182581 +IFNJU1Q= 182582 +5oiQ6ZW/ 182583 +54Ot6L+Z6YeM5Y+q5pyJ57K+5ZOB 182584 +IG9ncmFuaWM= 182585 +b2RoYQ== 182586 +Q2lzY28= 182587 +INeQ15XXnQ== 182588 +IHNpcGg= 182589 +KE1vY2tpdG8= 182590 +IHJhenZvamE= 182591 +IER1bWI= 182592 +INCQ0LPQsNGA 182593 +IGNvbnRhY3Rl 182594 +bGHFn2TEsXI= 182595 +INem15HXog== 182596 +Q1VT 182597 +2LbYsdin2LE= 182598 +IGJsb2Nz 182599 +IG5la3U= 182600 +KHNlcGFyYXRvcg== 182601 +IHl1Yg== 182602 +IG1vb25z 182603 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182704 +IG5naW54 182705 +INCT0LXRgNC80LDQvdC40Y8= 182706 +IGNvbnNlcnZhw6fDo28= 182707 +Tm9uZXRoZWxlc3M= 182708 +IHJlbm92YWNpw7Nu 182709 +IOyhsOyngQ== 182710 +2KbZiQ== 182711 +IHphxaHEjQ== 182712 +KGp3dA== 182713 +IEJsb29keQ== 182714 +INGB0LM= 182715 +IEFOR0VMRVM= 182716 +IHBhcmFuZA== 182717 +IOCquOCrh+CqtQ== 182718 +0Y/QtNC+0Lw= 182719 +0LXRgNC/ 182720 +IHNvc3RpZW5l 182721 +4LKV4LK+4LKw4LK/ 182722 +IGphYsOzbg== 182723 +ZWxvemU= 182724 +SUVWRQ== 182725 +INeV15XXmdeh158= 182726 +aXNzZWQ= 182727 +INKb0LjRgNKT0LjQvQ== 182728 +IEhlcnR6 182729 +Y2llcm9u 182730 +LdGD0LzQuA== 182731 +INC/0LXRh9C10L3QuA== 182732 +IOCyhuCyuQ== 182733 +X3NlcnZlcnM= 182734 +xKt0aQ== 182735 +LmZpbmlzaGVk 182736 +IOC3g+C3jw== 182737 +QVJP 182738 +UEJT 182739 +IGludmVzdHM= 182740 +IGNvcGk= 182741 +IHBhdHNp 182742 +dXR0ZXQ= 182743 +INCy0L7Qt9C90LjQutCw0Y7Rgg== 182744 +dW13ZXJ1 182745 +Jyk7Ly8= 182746 +LlNoZQ== 182747 +INCx0LDSuw== 182748 +IOCkl+CkvuCkgeCktQ== 182749 +IHBlcm1pc29z 182750 +4YOU4YOR4YOT4YOc4YOU4YOc 182751 +0L7QstC10LQ= 182752 +c2hvZQ== 182753 +cHJlaXNl 182754 +LlZBTFVF 182755 +LmNvbGxpZGVy 182756 +IHp1Z2Vz 182757 +INC/0YDQvtCy0L7QtNGP0YI= 182758 +4KWN4KSy4KS/4KSu 182759 +IOGDmOGDrg== 182760 +IE5vb3I= 182761 +IEhpc3RvcmljYWxseQ== 182762 +IGNhdXNhbmRv 182763 +UXVpZXJlcw== 182764 +IGxpamY= 182765 +IHRvdXJub2k= 182766 +4oW8 182767 +IMOpbGV2w6lz 182768 +LlBvcGVu 182769 +IOi2o+i1og== 182770 +INGD0LzRg9C8 182771 +5ZCI5rOV5LmI 182772 +IHNweWluZw== 182773 +yZltaXl5yZl0 182774 +4KSq4KWC4KSw 182775 +IOCkrOCkv+Cknw== 182776 +IHN0cmlwc2xhc2hlcw== 182777 +IG1hdHVtaXpp 182778 +IOC0teC0vuC0meC1jeC0mQ== 182779 +IG51YmU= 182780 +4oCZb2w= 182781 +IG1hc3NpbW8= 182782 +INGA0LDQt9C+0LHRgNCw0YLRjNGB0Y8= 182783 +IOCmuOCmq+Cmsg== 182784 +IFJlZ2nDs24= 182785 +IHJlZHVjdA== 182786 +IHRlZGR5 182787 +IGJlbGVpZHM= 182788 +IiwiXA== 182789 +IG1pY3JvZmliZXI= 182790 +4oCM2LTZiNmG2K8= 182791 +IENoZWVz 182792 +5pS55Y+Y 182793 +IGFzaWFra2E= 182794 +VmV0 182795 +INC00LXRgNC10LLQvg== 182796 +INCU0LXQuw== 182797 +IHlm 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187624 +IFBlZHJh 187625 +QmFydA== 187626 +4LmA4Lie4Lil4LiH 187627 +LnJ2 187628 +CXByaXY= 187629 +CXZlcnRleA== 187630 +L2pvYnM= 187631 +0YfRi9GB0Ys= 187632 +IGhvbm9yYXJ5 187633 +ICIqKio= 187634 +IOCyteCypOCyv+Cyr+Cyv+CyguCypg== 187635 +X2VuY29kZWQ= 187636 +aGlsYW5nYW4= 187637 +IFdBTEs= 187638 +CUNTdHJpbmc= 187639 +INin2YTYqtmH2KfYqA== 187640 +IENSRURJVA== 187641 +6ZuV 187642 +5a6i6YKm 187643 +INW41oDWhNWh1bY= 187644 +IGNvbWJpbmFkbw== 187645 +TWVzaGVz 187646 +d8O8cmRpZ2tlaXRlbg== 187647 +UmVwcmVzZW50YXRpdmU= 187648 +dGFuaw== 187649 +LnByb2JsZW0= 187650 +X2l0ZXJz 187651 +5a+55Yi3 187652 +1bXVodW21avVtg== 187653 +TlNB 187654 +amRr 187655 +XSE9Jw== 187656 +b3Row6lyYXBpZQ== 187657 +IEFRVQ== 187658 +4Keo4Kep 187659 +INix2qnavtiq25I= 187660 +KHR1cm4= 187661 +IOqwgOuKpe2VqeuLiOuLpA== 187662 +IHRyZWludGE= 187663 +KGJsb2c= 187664 +IE5vaQ== 187665 +IG91dHNvbGU= 187666 +d8Op 187667 +CWVuZGlm 187668 +INGF0LjRgtCw0LnSk9Cw 187669 +4YOj4YOg4YOj4YOa4YOY 187670 +INKz0LDQt9C+0YA= 187671 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187718 +IGVsZW1lbnR1bQ== 187719 +cOG7pXRhcmE= 187720 +QVJUQQ== 187721 +INCx0LDRgdGC0LA= 187722 +IHNhbnRp 187723 +w6hycmE= 187724 +IGphcmVubGFuZw== 187725 +IGNpYXM= 187726 +IOCkqOCkv+CksOCljeCkruCkvuCkpOCkvg== 187727 +IEFXRVNPTUU= 187728 +YWZpbGU= 187729 +INGF0YPQttC1 187730 +CVZlcnNpb24= 187731 +KGNhbmNlbA== 187732 +IGthdHU= 187733 +LWhlbHBlcg== 187734 +CQkJCQkJCSAgIA== 187735 +VU5P 187736 +xaFuw60= 187737 +IENvbW1vZGl0eQ== 187738 +V2FsbHM= 187739 +VUJMSVNIRUQ= 187740 +IGludmVu 187741 +aW5hcmU= 187742 +INGB0L/Rg9GC 187743 +IFRhYmxh 187744 +LdGA0LDQtw== 187745 +INC40LDQtA== 187746 +INin2YTarw== 187747 +w6lobmE= 187748 +IGtvcnRpbmdz 187749 +4KSC4KSk4KWB 187750 +5oC75Luj55CG6IGU57O7 187751 +IGxldHRlcmU= 187752 +IFppZA== 187753 +IOC0heC0reC0v+C0qOC0rw== 187754 +bHRyZQ== 187755 +IENPTkRJVElPTg== 187756 +IG1hZHU= 187757 +INCf0LDRgNC4 187758 +IOC0uOC0vuC0ruC1jeC0qg== 187759 +5Y+45rOV 187760 +4KuH4Kqy4KuL 187761 +IGZ1dGlsZQ== 187762 +4K614K6x4K+N4K6x 187763 +b2dpY2Fs 187764 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190707 +IE1hbGFnYXN5 190708 +IOq1rO2YhA== 190709 +IOCkmuCli+CksOClgA== 190710 +64WE64+E 190711 +Oml0ZW0= 190712 +IHJvc3k= 190713 +4Ka+4Ka54Kak 190714 +IEJDcnlwdA== 190715 +Pj4oKTsKCg== 190716 +IGludGVudHM= 190717 +4LmA4Lin4LmH4Lia4LmE4LiL4LiV4LmM 190718 +IEtlZW4= 190719 +4LGW 190720 +J10uJyI= 190721 +IHJlc3RydWN0dXJl 190722 +IHPDqWN1cmlzw6k= 190723 +INeT15DXoA== 190724 +LdCw0Lk= 190725 +U3VjY2Vz 190726 +b25jZXI= 190727 +IHByb2Z1bmRhcw== 190728 +IGV5ZXNpZ2h0 190729 +IEhvbGFuZGE= 190730 +X2JsZQ== 190731 +aWV4cHJlc3M= 190732 +4oCZRXNw 190733 +Q0VG 190734 +IHJlY29tYW5k 190735 +IGhhbG9y 190736 +b2lkYWw= 190737 +IHNpY3VyYW1lbnRl 190738 +IEVzY3I= 190739 +4LS/4LSo4LWN4LSx 190740 +INC60L7QvdC60YPRgNGB0LA= 190741 +0LPQsNKb05nQsA== 190742 +ZXJlZ2lzdGVy 190743 +IMSNaW0= 190744 +cHN5b24= 190745 +2oHZhw== 190746 +IGZpaQ== 190747 +IGxlZ2VuZGE= 190748 +w6dpbGVy 190749 +INW01aw= 190750 +IEFwcGFy 190751 +IGdyYWR1YcOnw6Nv 190752 +4oCcSG93 190753 +IGZpbG1tYWtpbmc= 190754 +IHJhw6dh 190755 +IGFib25k 190756 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191093 +0LDRgtC10LvRjNC90LDRjw== 191094 +YWxhaQ== 191095 +IHRhbWFtZW4= 191096 +IM66zqzPhM+J 191097 +IHNoZWF0aA== 191098 +IHZpZHM= 191099 +INCw0LvQsNK70LjQtNOZ 191100 +SlNHbG9iYWw= 191101 +R292ZXJub3I= 191102 +KGt3YXJncw== 191103 +LuC0n+C0vw== 191104 +Lkluc3RhbGw= 191105 +aGVsdQ== 191106 +4YOd4YOR4YOU4YOR4YOY 191107 +IOC4reC4ouC4ueC5iA== 191108 +V3U= 191109 +w6RtbQ== 191110 +ZG5h 191111 +INit2YXZhNip 191112 +IHJpbmd0b25l 191113 +IOCml+CmrOCnh+Cmtw== 191114 +Yml5 191115 +cXVlZGFz 191116 +JWU= 191117 +CXBlcnNvbg== 191118 +IHRlZ2Vtb2V0 191119 +X2NvdXJzZXM= 191120 +IGRvbm9z 191121 +IEdlbnVzcw== 191122 +IHN2w6lobw== 191123 +4LCq4LGA 191124 +YWt1cw== 191125 +IEJleW9uY2U= 191126 +IExhdHRl 191127 +KHRvbHVh 191128 +L21hYw== 191129 +4Z6a4Z6A 191130 +IGxpY2tpbmc= 191131 +IG1pY3Jvdw== 191132 +INCy0ZbQtNC6 191133 +UHLDqXNlbnRhdGlvbg== 191134 +IFJhdWNo 191135 +INGC0LDRgNCw0LHRi9C90LDQvQ== 191136 +aXN0aW5l 191137 +IHZyYWNodA== 191138 +LXNhdg== 191139 +bmV3bGluZQ== 191140 +IO2OvA== 191141 +c3ByZWtlbmQ= 191142 +IGludGltaWRhdGlvbg== 191143 +aWZmaWc= 191144 +PllvdXI= 191145 +Lm1pbnV0ZXM= 191146 +IE5ndW5pdA== 191147 +IHNob3J0aGFuZA== 191148 +aW5zdGVsbHVuZw== 191149 +IHdldGVuc2NoYXA= 191150 +w69u 191151 +Ly4uLg== 191152 +IENvbXVuaWM= 191153 +IHN2xa9q 191154 +INCw0YDQutGL0LvRg9GD 191155 +IE1pbms= 191156 +b2Jpcw== 191157 +RHVmZg== 191158 +IOC0pOC1hw== 191159 +IGNodsOt 191160 +cHJvY2Vk 191161 +b2Zhcg== 191162 +IOWIpOaWrQ== 191163 +U3luY2hyb25pemF0aW9u 191164 +INWi1aXWgNWl1aw= 191165 +L3Nvbmc= 191166 +IGJsaWprZW4= 191167 +IFBsw6R0emU= 191168 +INCz0L7Qu9GD0LE= 191169 +Zmxha2Vz 191170 +Cg0K 191171 +J2FudA== 191172 +0LvRi9Cz0Ys= 191173 +IHZyb3V3ZWxpamtl 191174 +c2Vlcg== 191175 +0YvSoQ== 191176 +IGludGVsbGVjdHVhbGx5 191177 +IFBhbG1laXJhcw== 191178 +IOWkp+WPkeW/q+S4ieaAjuS5iOeciw== 191179 +IGZhYnJpa2FudA== 191180 +Q29udmVyc2lvbnM= 191181 +INGC0L7RgNCz0L7QstC70Lg= 191182 +IEVkYWQ= 191183 +IFTDtGk= 191184 +LXJlZ2lzdHJhdGlvbg== 191185 +ZXJhYW4= 191186 +4Z6Y4Z+S4Z6U4Z64 191187 +Y2l2aWw= 191188 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191235 +5Zub5LiN5YOP 191236 +IOWMuw== 191237 +IOC0sOC0nA== 191238 +X25vbWU= 191239 +4Kq+4Kq14Kqw4Kqj 191240 +1LHUvw== 191241 +IGNvbnRlbmRv 191242 +IHByZWNpb3Nh 191243 +IOCkheCkreCkv+CkqOClh+CkpOCljeCksOClgA== 191244 +2Kfaqg== 191245 +0YDQuNC3 191246 +IGdld29obnQ= 191247 +6LW0 191248 +IGtvcmVhbg== 191249 +IHNoYWNhYmth 191250 +44O7772A 191251 +IG9pdA== 191252 +TXVzZXVt 191253 +2K7bjNi1 191254 +IeKAnS4= 191255 +IFJpZ2E= 191256 +INC80LDQsNKt 191257 +IHR4YXd2 191258 +0L7QsdCw0YA= 191259 +IGtlaGlsYW5nYW4= 191260 +IOC5gOC4iOC5iQ== 191261 +bGVkZW0= 191262 +77yM6LCi6LCi 191263 +INCy0LDQu9C1 191264 +ZHJhbQ== 191265 +dW5wcm9jZXNzYWJsZQ== 191266 +4KS+4KS44KSk 191267 +UlVMRQ== 191268 +0LbTmdC6 191269 +INin2LA= 191270 +IEVyd2FjaHNlbmVu 191271 +0JLQvtC30YDQsNGB0YI= 191272 +WWVuaQ== 191273 +IGRhcnRz 191274 +IOCqluCrgeCqsg== 191275 +4Kao4KeN4Kaf4Ka+4Kaw 191276 +7LyA7YyF 191277 +LXdpcmU= 191278 +R2Fueg== 191279 +YWthbmFuaQ== 191280 +eXN0YQ== 191281 +IOCwueCxhg== 191282 +IMWfaW1kaQ== 191283 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195532 +IG5ha29uZw== 195533 +IExWUw== 195534 +LHRtcA== 195535 +IGHDsWFkacOz 195536 +a2l0dHk= 195537 +4Lij4LmI4Lin4Lih 195538 +IHBoaWxhbnRocm9waWM= 195539 +IOCyqOCyv+Cypw== 195540 +c3Nzcw== 195541 +IHJlbWFycXVhYmxl 195542 +IGdoYXI= 195543 +ZXJ0b3du 195544 +IOCkmuClh+CkueCksOClhw== 195545 +IE9TWA== 195546 +IOCosuCpi+ColQ== 195547 +IE1pbm5pZQ== 195548 +4LiT4Liw4LiX4Li14LmI 195549 +IFBBTkVM 195550 +Ozs7Ozs7Ozs7Ozs7Ozs7Ow== 195551 +INCw0YXRjNGL 195552 +amVsZQ== 195553 +IMWfw7Z5bGU= 195554 +IG1pbnV0cw== 195555 +c3RpbWU= 195556 +77yM5LiA5Liq 195557 +IHPDvHJk 195558 +YWxhZA== 195559 +IGdhc2s= 195560 +w6ZraQ== 195561 +IEFuemVpZ2Vu 195562 +INC/0ZbQutGW0YA= 195563 +IGltcHJpbWU= 195564 +IGFjb250ZWNpbWVudG9z 195565 +IHBvcnRhZGE= 195566 +27PbsA== 195567 +bW9kdXM= 195568 +IEdlbnJlcw== 195569 +77+9JiY= 195570 +0LbRi9C8 195571 +IMOgdGk= 195572 +0LDQu9C70LA= 195573 +S2luaQ== 195574 +IER1bmRlZQ== 195575 +IFRSVVNU 195576 +w61vbWg= 195577 +IGNoYXJsYQ== 195578 +INCy0L7RgNC+0YI= 195579 +b2tzaWE= 195580 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195674 +7IaM65Oc 195675 +INGC0LDQsdC70LXRgtC60Lg= 195676 +b3N0YXI= 195677 +IEpvYw== 195678 +INC/0YPQt9GL0YA= 195679 +IM60z43Pgw== 195680 +LnNhbQ== 195681 +5pGE5b2x 195682 +IENvcm91dGluZQ== 195683 +IG3DuHRlcg== 195684 +L3F1ZXN0aW9u 195685 +4KWB4KSP 195686 +5b2p5rOo5YaM 195687 +IM+Azq3Pgc6x 195688 +LmRlcg== 195689 +IG92ZXJjYW1l 195690 +JGo= 195691 +YXNpYmxl 195692 +INqp2YjYr9qp 195693 +ZmVyZW5jaW5n 195694 +IOCkuOCkleCkvuCksOCkvuCkpOCljeCkruCklQ== 195695 +77yM5LiN6L+H 195696 +LmNvbmRpdGlvbnM= 195697 +6KOV 195698 +IG90ZXY= 195699 +IEtpbmVjdA== 195700 +INCz0LDQuQ== 195701 +IHNrb3Jhag== 195702 +RVhQRUNURUQ= 195703 +KHJy 195704 +IHJlZmVyw6puY2lhcw== 195705 +IG9sbWFkxLHEn8Sx 195706 +IGhhbW1vY2s= 195707 +IM6zz4HOrA== 195708 +U2VlbXM= 195709 +0LrRltGI 195710 +aWRkYQ== 195711 +d2lzaGxpc3Q= 195712 +Lm1udQ== 195713 +IOCyhuCyuOCzjeCyquCypOCzjeCysOCzhuCyl+Czhg== 195714 +IGTDqWfDonRz 195715 +IG1hd2FsYQ== 195716 +IHLDoXBpZGFz 195717 +Q29udGVuaWRv 195718 +IHN1yrs= 195719 +IOCkq+Ckv+Cknw== 195720 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195766 +2KLZvg== 195767 +Q29uZHVjdA== 195768 +0LXQvdC40Lw= 195769 +IGVzcGVjaWZpY2FtZW50ZQ== 195770 +Lm1vdG9y 195771 +IHBlbGxlbnRlc3F1ZQ== 195772 +IOCkl+ClgeCksOClgQ== 195773 +IOCqreCql+CqteCqvuCqqA== 195774 +X21pbm9y 195775 +IGRoYWF3 195776 +IG9wdGltaXNlcg== 195777 +0LjRh9GM 195778 +5raT 195779 +b3RvbQ== 195780 +5YWt56CB 195781 +INiv2YTahg== 195782 +IG3Em2xp 195783 +YW1pcXVlcw== 195784 +IOCmruCmueCmv+CmsuCmvg== 195785 +YXRpY29u 195786 +IHNrcmV2ZXQ= 195787 +SW50ZXJlc3M= 195788 +bmnDug== 195789 +IGNyYW5lcw== 195790 +W25vdw== 195791 +IGFkZXY= 195792 +IO2ZleuztA== 195793 +LHRvdGFs 195794 +IENsaW5pY3M= 195795 +eXNpemU= 195796 +4Kya 195797 +5rKq 195798 +IE1hY2JldGg= 195799 +IHJlbmRlbGtleg== 195800 +5bm06ZaT 195801 +IOyYiOygleydtOuLpA== 195802 +IOODjg== 195803 +0YnRgw== 195804 +IENvbnN1bWU= 195805 +IGRpc3Bhcml0aW9u 195806 +IERlZmVuZGFudA== 195807 +Ki8pLA== 195808 +w7xja3M= 195809 +IOCumuCvgeCuseCvjeCusQ== 195810 +IHdpbGxz 195811 +bGljYXI= 195812 +X2ZpeHR1cmU= 195813 +KGVmZmVjdA== 195814 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195860 +IGvFq3Bvbm8= 195861 +QnJha2U= 195862 +IFdpdGhkcmF3YWw= 195863 +IHVuZGVuaWFibHk= 195864 +IGdlbm9tZXM= 195865 +IEF1dG9tYXRlbg== 195866 +IER1YnJvdg== 195867 +IGNyZWFu 195868 +YXZub20= 195869 +b3BsYXNt 195870 +IGFubnVlbGxl 195871 +IOCqleCqv+CqguCqruCqpA== 195872 +INC/0YDQuNC00LXRgNC2 195873 +IO2Gte2VnA== 195874 +IENvbnZleQ== 195875 +IOu2gO2DgQ== 195876 +5LyB6bmF 195877 +15nXmNeV16o= 195878 +LmNhcGl0YWxpemU= 195879 +44CC44CNCg== 195880 +INKh0LDRgtGL0L0= 195881 +IGZhcmlu 195882 +INm+2LHYqtmH 195883 +4K+K4K6j4K+N4K6f 195884 +LVVQ 195885 +YXZvaWU= 195886 +QVdB 195887 +INCy0L7Qu9C9 195888 +IHTDpGxs 195889 +4LKo4LON4LKv 195890 +VGVhY2g= 195891 +IOOCreODow== 195892 +4LSq4LWN4LSq4LWL4LW+ 195893 +LkVkZ2U= 195894 +IGNpbnR1cg== 195895 +IGJlcmFkaQ== 195896 +IFJlbWVkeQ== 195897 +IExhbnM= 195898 +INW91a/VvdWl1aw= 195899 +ZG9k 195900 +INGC0YPRgNGD 195901 +IFRhcms= 195902 +LUNocmlzdGlhbg== 195903 +xI1pbG8= 195904 +IOGDqOGDlOGDl+GDkOGDnOGDruGDmw== 195905 +Y3Vu 195906 +TWVjaGFuaWNhbA== 195907 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195954 +4Lik4Lio4LiI 195955 +INWv1aHVptW01bjWgtW0 195956 +IGRyxb5hdmE= 195957 +Y2xhc3NpZmllcg== 195958 +K3NlbGY= 195959 +INin2KrYrNin2Yc= 195960 +IG5hand5 195961 +IG1ldGFib2xpdGVz 195962 +IOC0sOC1gOC0pA== 195963 +IGdldG9wdA== 195964 +X1VM 195965 +INGB0L/QtdGA 195966 +ICstLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0t 195967 +JywnPScsJw== 195968 +IENhcHJp 195969 +INGB0L7QsdC70Y7QtNCw0YLRjA== 195970 +LXNjaGVtYQ== 195971 +44CR44CQ44CC44CRCgo= 195972 +L05hdg== 195973 +X3NwZWNz 195974 +0LjRgNC1 195975 +6JKy 195976 +U2tpcHBpbmc= 195977 +Lm9wZW5j 195978 +b3BhdXNl 195979 +LCRf 195980 +KFNpemU= 195981 +IGtvamlo 195982 +4oCN4LSl 195983 +L2NvbnRyb2w= 195984 +IEvFqw== 195985 +0L7QvNGL 195986 +LUZyaWVuZGx5 195987 +IOCktuCliOCksuClgA== 195988 +IEdhbw== 195989 +IHJvbw== 195990 +IMOhcnM= 195991 +fScpOwo= 195992 +2YjYstuM2LTZhg== 195993 +IEJobw== 195994 +IGJveg== 195995 +IOCyieCyquCyuOCzjeCypQ== 195996 +X1JHQ1RY 195997 +IFNrYWw= 195998 +IHRlcm1pdGU= 195999 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196329 +IGdhemVibw== 196330 +INC10LjQtw== 196331 +aW5kZXJlZA== 196332 +LmlvdA== 196333 +15XXm9eg15nXqg== 196334 +IMOpcno= 196335 +IOGDqeGDkOGDlQ== 196336 +4KSV4KWN4KSV4KS+ 196337 +IHNheWluZ3M= 196338 +IOCknOCkv+CkuOCkqOClhw== 196339 +0LjQu9Cz0YvQvQ== 196340 +Q29tdW4= 196341 +IGFzc29jaWFkbw== 196342 +dWp1c3M= 196343 +IOCnsOCnguCmqg== 196344 +LXRhaWw= 196345 +LVVTQQ== 196346 +KHBn 196347 +Iu+8jA== 196348 +IGRvYmI= 196349 +IGFybW9yZWQ= 196350 +INCy0YvRhdC+0LTQuNGC 196351 +aWdvdA== 196352 +X2VsYXBzZWQ= 196353 +X3Vucw== 196354 +KFVQREFURUQ= 196355 +c3BpcmFjeQ== 196356 +L2V4dA== 196357 +LkNlcnRpZmljYXRl 196358 +IOCmhuCnn+Cni+CmnOCmqA== 196359 +IGNob2tpbmc= 196360 +bWFudWZhY3Q= 196361 +1bjWgtW/1aLVuNWs 196362 +IGx1c2Npb3Vz 196363 +5qe9 196364 +Lkd1aQ== 196365 +IFJhdGhhdXM= 196366 +IEJhcmJhcg== 196367 +44CR44CQ44CC44CR44CQ4oCd44CR44CQ 196368 +4LeT4La6 196369 +4LGA4LCc4LGH4LCq 196370 +INm82qnbjA== 196371 +QXJyYW5nZW1lbnQ= 196372 +YWZhZWw= 196373 +7Lu1 196374 +0LzQsNC3 196375 +aGFzaWxhbg== 196376 +IHd5dGhub3M= 196377 +LkdyYXk= 196378 +IOCyleCyoeCzhg== 196379 +2YXZhtqB 196380 +IGFrdWtobw== 196381 +IGNvbGxlZ2Encw== 196382 +IOycoOuqhQ== 196383 +IGRvY2Vz 196384 +IHNvaWduZQ== 196385 +IFNvdGhl 196386 +157Xlden 196387 +4LS+4LSw4LS+4LS34LWN4LSf4LWN4LSw 196388 +IGNoZWFwbHk= 196389 +IFNoaWxsb25n 196390 +IGh1bXA= 196391 +IGRhcnBhcnU= 196392 +a3Dhu6U= 196393 +c3TDpWVuZGU= 196394 +IOCoteCov+ColQ== 196395 +IGRvY3VtZW50YcOnw6Nv 196396 +IOCmpuCmsOCnjeCmtg== 196397 +IM6zz40= 196398 +Il19Cg== 196399 +IEFrdGll 196400 +dWFo 196401 +4Z6T4Z+S4Z6b 196402 +6Ieq5Li7 196403 +ZmZla3Q= 196404 +INin2YTYqNmK2LbYp9ih 196405 +IFR5bQ== 196406 +IEJhdHRlcmll 196407 +X2luZGVudA== 196408 +IGlkZW50aWZpw6k= 196409 +XT0k 196410 +IOC0leC0vuC1vA== 196411 +IFZWRA== 196412 +IFZhY2FuY3k= 196413 +INCy0L7RgdC60YDQtdGB 196414 +4Z+S4Z6Y4Z+C4Z6a 196415 +dXN0ZWxl 196416 +INin2YTZhdis2KfZhNin2Ko= 196417 +LmNhc3NhbmRyYQ== 196418 +Z3JvdGU= 196419 +IGdlYmxldmVu 196420 +4LKD 196421 +IGNvbmZsaXRz 196422 +U3RhbmRhbG9uZQ== 196423 +IENvbW11bmU= 196424 +IOCwheCwqg== 196425 +IG1hZ25p 196426 +IOCkuOCljeCkpeCksg== 196427 +SURFUw== 196428 +X0hQ 196429 +INCx0YDQtdC90LQ= 196430 +INCT0LU= 196431 +IGlraXBl 196432 +IOCkleCkvuCkgg== 196433 +66W06rOg 196434 +IGZlbmQ= 196435 +X0FMUkVBRFk= 196436 +QVJUSUNMRQ== 196437 +IGFhbnRyZWtrZWxpamtl 196438 +Ono= 196439 +IGNvbXByb21pcw== 196440 +IFNjdWxwdHVyZQ== 196441 +IGJpb21hcmtlcnM= 196442 +cmVzdHJpYWw= 196443 +SWRpb21h 196444 +5qCR5p6X 196445 +IHNlbGVzYWk= 196446 +4Kmw4Kih 196447 +LmNvbWJpbmU= 196448 +KHBlcmNlbnQ= 196449 +2YrYttin 196450 +IOGDoeGDkOGDm+GDruGDoA== 196451 +Li4uJyw= 196452 +IOCqleCqsOCrgOCqjw== 196453 +aW5pc2k= 196454 +IEppZw== 196455 +Lkdlbw== 196456 +4KSt4KWC4KSu 196457 +LW1pZA== 196458 +IGlpbms= 196459 +IHZlY2thbg== 196460 +aW5kw6RraQ== 196461 +aXRsZW1lbnRz 196462 +IEdlbnRsZW1hbg== 196463 +INC60ZbQvA== 196464 +bWFuYWdlYWJsZQ== 196465 +IGtvamlt 196466 +IFZvcnRyYWc= 196467 +ZmlldHM= 196468 +IOWkqeWkqeS4reW9qeelqOW9qemHkQ== 196469 +QUFQ 196470 +IExpYW5n 196471 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+4KSo4KS+4KSu 196619 +IFhYWFg= 196620 +IG5nYW5n 196621 +X21hcmtz 196622 +OiI8PA== 196623 +IHJlbmV3aW5n 196624 +IGhhbGFnYQ== 196625 +IFByb2Zlc29y 196626 +IHN5bmFnb2d1ZQ== 196627 +IFZhdGljYW5v 196628 +IE51aQ== 196629 +IENPTVBVVEVS 196630 +YW5hbHl0aWM= 196631 +5YCh 196632 +b2dnaQ== 196633 +INC60L7Qu9C+0L0= 196634 +KHBrdA== 196635 +IGd1YXJhbnQ= 196636 +IGZhdm9yaXRhcw== 196637 +IOWkqeWkqeW9qeelqOi9r+S7tg== 196638 +4LK/4LKv4LKo4LON 196639 +IFDFqw== 196640 +IHp1dmVybMOkc3NpZw== 196641 +IGludGVybmF6aW9uYWxl 196642 +w61uY2lh 196643 +INin2YTYrdmI2Ks= 196644 +IHRzb2E= 196645 +SW50ZWdyYXRvcg== 196646 +2K/Ysdis2Kk= 196647 +IMO8YmVybGVnZW4= 196648 +IFJpdGU= 196649 +IGVtcHJlZ2Fkbw== 196650 +xLBS 196651 +6KOP 196652 +R3JpbmRpbmc= 196653 +a2xhbg== 196654 +IGRlc2VydHM= 196655 +INW+1aXWgNWh1aTVodaA1bE= 196656 +IOCmquCnjeCmsOCmr+CngeCmleCnjeCmpA== 196657 +IFNpdHp1bmc= 196658 +INGB0YrQtA== 196659 +aXJnw60= 196660 +IGJhZG1pbnRvbg== 196661 +56eY5Lmm 196662 +bmFubw== 196663 +bMO2c2Vu 196664 +INeU157Xp9eV154= 196665 +4Lik4Lip4Lig 196666 +0rHRgQ== 196667 +5Ye65ZSu 196668 +5pS25Yiw 196669 +IOCouOCovuCouQ== 196670 +CXJvb20= 196671 +aXJkcw== 196672 +IGNvbnN0aXR1w6k= 196673 +IFJhY2V3YXk= 196674 +IEdlaWdl 196675 +IEVzcMOtcml0dQ== 196676 +Q2hhbmc= 196677 +IENvbnN0YW50aW5l 196678 +IGtlaW5lbQ== 196679 +XHZpZXdz 196680 +57q5 196681 +IHNmcg== 196682 +IEJsYW5rZXQ= 196683 +2orZitmI 196684 +5aSa5pWw 196685 +IEJlcmlrdXQ= 196686 +IG1lbsOpZQ== 196687 +IM+AzrnOuM6xzr0= 196688 +INmI2YrYrQ== 196689 +X2VtaXQ= 196690 +VGhhbmtmdWxseQ== 196691 +IOCqquCrjeCqsOCqteCqvuCquA== 196692 +7KSA64uk 196693 +IHdlZ2dl 196694 +IGJlcnJp 196695 +INCV0Z4= 196696 +eXN0YWxsaW5l 196697 +IG11bnRodQ== 196698 +bGluZXJz 196699 +IOCknOClgeCkoeCkvOClhw== 196700 +IHJlbXVu 196701 +SUhF 196702 +IGFhbmxlZw== 196703 +IOyngOq4iQ== 196704 +IGR1aGE= 196705 +IE1haW5sYW5k 196706 +2KfYrNiv 196707 +aWNvZXM= 196708 +IOyCrOuhgA== 196709 +IEZpbGk= 196710 +ZHNu 196711 +IG1pbmRzdA== 196712 +IFN1YnN0aXR1dGU= 196713 +IHByb3BvbmVudHM= 196714 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+IOCmheCmnuCnjeCmmuCmsg== 196762 +YXJiZXRl 196763 +77yM6ZyA6KaB 196764 +INqv2LHbjA== 196765 +IGRpw6FtZXRybw== 196766 +IGNvbXBhZ25vbg== 196767 +IFN3ZWVwc3Rha2Vz 196768 +IFNlbWFwaG9yZQ== 196769 +INCz0LDQt9C10YI= 196770 +LWZsZWRnZWQ= 196771 +YmFueWVnaOG7iw== 196772 +IHN1cmZlcg== 196773 +IGNvbW11bmljZXJlbg== 196774 +TmltYnVz 196775 +YWNyaXQ= 196776 +YWJzY2hsdXNz 196777 +QW5o 196778 +INW61aHWgNWm1aHVutWl1b0= 196779 +5bee5omR5YWL 196780 +IHXDsWFz 196781 +1aXWgdW21aXVrA== 196782 +IOC5hOC4pQ== 196783 +INmI2YrZg9mK2KjZitiv2YrYpw== 196784 +IGZvb3RwcmludHM= 196785 +LlR1cGxl 196786 +KGNsaWVudGU= 196787 +IGJvbm5ldA== 196788 +TW9udG8= 196789 +X3N0cmVuZ3Ro 196790 +LlN5bnRheA== 196791 +KioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioqKioK 196792 +IMOhYnlyZw== 196793 +IGZyb250YWdl 196794 +IOC0uOC0guC0teC0v+C0p+C0vuC0rw== 196795 +IGF0dWFsaXphZG8= 196796 +IM6W 196797 +cGFkcw== 196798 +ZW1x 196799 +IOCwquCwqOCwvw== 196800 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196990 +CWd1aQ== 196991 +LmZhbHNl 196992 +44GV44KM44Gm44GE44G+44GZ 196993 +IExldHRyZQ== 196994 +IHBlcmNlbnR1YWw= 196995 +IGlibg== 196996 +5LiN5LuF 196997 +IHN0b3J5dGVsbGVy 196998 +T250YXJpbw== 196999 +bWFrcw== 197000 +zrvOtc+C 197001 +IHRldHQ= 197002 +IGthcGNzb2xhdA== 197003 +INC80YPQsNC5 197004 +INWv1bjWgtW21aXVtg== 197005 +IFdhcnA= 197006 +6Kit5YKZ 197007 +4oCZYWlkZXI= 197008 +SW5kaWNl 197009 +IOeQhg== 197010 +aXR1ZW4= 197011 +O1RaSUQ= 197012 +IGt1c2VtYQ== 197013 +IFNsaWNr 197014 +16DXmdeU15U= 197015 +IGluaGFsZQ== 197016 +IHVtZ2VoZW4= 197017 +INqp2KfYqA== 197018 +IHByemVjaQ== 197019 +INKT0LDRgdGL0YA= 197020 +IGFkbg== 197021 +IHdhcmRyb2Jlcw== 197022 +IFRn 197023 +X2xpbnV4 197024 +CXBt 197025 +INCz0LvQsNCy0L3Ri9C8 197026 +INGB0LDSm9GC0LDRgw== 197027 +INix2K3ZhNip 197028 +Il1dLAo= 197029 +IHBhcsOn 197030 +INC30LDQtdC8 197031 +IHsv 197032 +LnRlbGw= 197033 +z4POsc68zrU= 197034 +IFJldmVhbA== 197035 +4KSs4KWI 197036 +IGJlbGlydA== 197037 +IHdob2xlaGVhcnRlZGx5 197038 +bm9zdGlj 197039 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197086 +IHZpcmFy 197087 +WWVy 197088 +SGFzaGVy 197089 +fX1dLAo= 197090 +KG10 197091 +IGl6cmF6 197092 +R2ly 197093 +IGhhdW0= 197094 +0LXQvNC+0L0= 197095 +IOGDluGDneGDkuGDmA== 197096 +IERlYmlkbw== 197097 +CWN0cmw= 197098 +Lm9mZmljZQ== 197099 +c2Vydm8= 197100 +LXZpc2libGU= 197101 +INeq15XXk9eU 197102 +IHJlbW9yc2U= 197103 +YW1paW4= 197104 +S2F6 197105 +IEJPUg== 197106 +IEFpcnBvcnRz 197107 +IHBvc3RhZ2Vt 197108 +IHNhaGE= 197109 +S3Vyeg== 197110 +IEVpbmthdWZz 197111 +IHNjaGxlY2g= 197112 +IHNlZGF0aW9u 197113 +IGxlYWZsZXQ= 197114 +dHJpcw== 197115 +IHBpdGvDpA== 197116 +5Y2i 197117 +IGFqw6Fu 197118 +2LLZitin2KE= 197119 +INC40L3RgdGC0YDRg9C60YbQuNGP 197120 +IGNvZ25pdA== 197121 +0LDQvdCw0Lw= 197122 +L0Fib3V0 197123 +INGH0LXRgdGC0Yw= 197124 +xaFuaQ== 197125 +CVByb2Nlc3M= 197126 +IFBrdw== 197127 +IFZhcA== 197128 +5a656YeP 197129 +IH19Ij48 197130 +ICghWw== 197131 +IEJ1cmd1bmR5 197132 +IHRhd3M= 197133 +IEJheXM= 197134 +IGxhbmdsZWI= 197135 +cHJldMOp 197136 +IHN0cmVudW91cw== 197137 +IEViZW5zbw== 197138 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+5LiK57q/ 197186 +IGNvdXZyaXI= 197187 +IHJ1c28= 197188 +LnNvZnRtYXg= 197189 +INio2LHYtNmE2YjZhtip 197190 +4LSk4LWN4LSk4LS/4LSo4LWB 197191 +IOCqteCqv+Cql+CqpOCriw== 197192 +IFBpeGFiYXk= 197193 +IHBoacOqbg== 197194 +IEJFTkVG 197195 +2LfYpw== 197196 +IHd5asSFdGs= 197197 +cmVzYXI= 197198 +IG5hYmk= 197199 +IHBvZHA= 197200 +IOCmtuCmvuCmuQ== 197201 +IHNhYXZhZA== 197202 +IEVxdWl2YWxlbnQ= 197203 +IGV0cmVl 197204 +5om26LSr 197205 +Q3VkYQ== 197206 +24zaqdin2LE= 197207 +IGJhbGxhc3Q= 197208 +IFNBRQ== 197209 +dHJpemVz 197210 +IGRldGFpbmU= 197211 +4oCZaXI= 197212 +IHRhw71kYW4= 197213 +0JPQkA== 197214 +0q3QtdC4 197215 +INeV15zXog== 197216 +LVdpdGg= 197217 +QVJSSUVS 197218 +IG1lZWs= 197219 +INm+2LHZiNmG 197220 +J2F1dGFudA== 197221 +cG9zdGk= 197222 +X3Jlc2VydmVk 197223 +0LDQutGB 197224 +7JWk 197225 +IE5JQ0U= 197226 +INin2YTYrNmF2YfZiNix 197227 +IGVyemllbHQ= 197228 +IGdlY29udHJvbGU= 197229 +1aHWgdW41oLVtNWo 197230 +INC+0LzQsA== 197231 +44CL44CCCgo= 197232 +QURWRVJUSVNFTUVOVA== 197233 +IGN1cnJpY3VsYQ== 197234 +IEF1w58= 197235 +TEVHRQ== 197236 +INGA0ZbRiNC10L3QvdGP 197237 +IGNvbWFuZG9z 197238 +INec15TXmw== 197239 +0LHRgNC1 197240 +b3NpdmU= 197241 +Rm9uZA== 197242 +IGFpc2xhbWllbnRv 197243 +X3JlbHU= 197244 +IFRTUg== 197245 +IExpbmllbg== 197246 +IHJhbWU= 197247 +IEVudmVsb3Bl 197248 +IGluamVjdGFibGU= 197249 +bGljZW5zZXM= 197250 +IGRyZWhlbg== 197251 +RGFr 197252 +ZsO4cmVy 197253 +INC/0L7QstC10LTQtdC90LjRjw== 197254 +IE51bWVyaWNhbA== 197255 +IG15YWth 197256 +IHZ6dA== 197257 +IHdoYWthdGE= 197258 +IFN0w6Rya2U= 197259 +Z2hh 197260 +INec16TXqg== 197261 +IHBvbW1l 197262 +IGRhYQ== 197263 +LXBhaW50ZWQ= 197264 +5p2l5Lmf 197265 +SVJJVA== 197266 +LWFuZw== 197267 +IHRyaHU= 197268 +IWltcG9ydGFudA== 197269 +RmFx 197270 +IELDvG5k 197271 +4LK/4LK44LOB4LKk4LON4LKk4LKm4LOG 197272 +IFNwaXR6 197273 +IHRha3k= 197274 +RGVjb21waWxlcg== 197275 +KSc6 197276 +bGllZ2VuZGVu 197277 +IGF04bq5 197278 +77yM5L6L5aaC 197279 +w7ZobnQ= 197280 +IOCkh+CksuCkvuCkleClhw== 197281 +IHRpbHRhaw== 197282 +IHRhbmd1 197283 +IOCyrOCysOCzgeCypOCzjeCypA== 197284 +bnNrZQ== 197285 +INi12YbYp9uM2Lk= 197286 +IOCkquClgeCksOCkvuCkqOClhw== 197287 +Z2V0d2lqZmVsZA== 197288 +IEFjY3JlZGl0ZWQ= 197289 +4oCZbmRl 197290 +0LvQvtCz0L4= 197291 +IG1pY3JvcA== 197292 +IHN2b2c= 197293 +X2R1ZQ== 197294 +0LvQvtGJ0LDQtA== 197295 +IERvcm4= 197296 +IOCymuCyv+CyleCyv+CypOCzjeCyuOCzhg== 197297 +IOCoqOCovg== 197298 +INek16DXmQ== 197299 +IGdlcsOnZWt0ZW4= 197300 +INGA0LDQt9Cy0LXQtA== 197301 +w6lwZQ== 197302 +IGhzdg== 197303 +IENsZWFyd2F0ZXI= 197304 +IG5hcQ== 197305 +5ouJ54m5 197306 +IGTDqXRvdXI= 197307 +X0xlbmd0aA== 197308 +IFpvZHJh 197309 +IGNhc3VhbHR5 197310 +IHp1c2FtbWVuc2No 197311 +IG1hbmRp 197312 +IOGDqOGDlOGDoeGDkOGDq+GDmuGDlOGDkeGDlOGDmuGDmOGDkA== 197313 +IFRyYXZlbHM= 197314 +YXRpa2E= 197315 +IOCuqOCvgOCupA== 197316 +4KSu4KSk4KWA 197317 +IHByZXNlbnRhbW9z 197318 +IGhpbmdlZA== 197319 +IFJvdG9y 197320 +IOGDrOGDp+GDkOGDmg== 197321 +TsOt 197322 +IHNleHZpZGVv 197323 +INC60YDQuNGC0LXRgA== 197324 +LVNoYWJhYWI= 197325 +IOqzteyXsA== 197326 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197507 +emlucw== 197508 +IHNwZWVsZ29lZA== 197509 +7ZWc64uk6rOg 197510 +4LWB4LSV4LWN4LSk 197511 +IFBlcnNpYQ== 197512 +77yg44GK44O844G344KT 197513 +bHlneW55xYg= 197514 +IG5pZGE= 197515 +IGF1c3RyYWw= 197516 +06/Qt9C4 197517 +IFJlc2lkZW5jeQ== 197518 +INGE0L7QvdC00LA= 197519 +IGp1cms= 197520 +XENNUw== 197521 +IGRlcm1hdG9sb2dpc3Q= 197522 +6K235aOr 197523 +TmFtdW4= 197524 +IFRlcnJpdG9yaWVz 197525 +INi12KfYr9ix2KfYqg== 197526 +VG91cnM= 197527 +INC+0LrQsNC30YvQstCw0LXRgtGB0Y8= 197528 +IGJhbWJpbm8= 197529 +IHJvYnVzdG5lc3M= 197530 +IHNlY29uZGx5 197531 +IOiCoeelqA== 197532 +IGd1ZXN0cm9vbXM= 197533 +INmC2KjYtg== 197534 +4LWN4LSw4LSu 197535 +IHNvbnVjdQ== 197536 +IGjGoWk= 197537 +IGNvbnNpZ2E= 197538 +IHNjaG5laWRlbg== 197539 +QWR1bHRz 197540 +YW5nZ2lo 197541 +RVJUQQ== 197542 +YWt0eQ== 197543 +UFJJU0U= 197544 +INC60YDQsNGB0LjQstC+ 197545 +IEpM 197546 +IGFhcXFpc3N1 197547 +INqG24zZgQ== 197548 +4LKj4LKm4LKy4LON4LKy4LK/ 197549 +U3ViZGl2aXNpb24= 197550 +15nXpteY 197551 +IFZvcnN0ZWxsdW5nZW4= 197552 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197648 +INio2LHZgtix2KfYsQ== 197649 +INmI2YLZiNi5 197650 +IG11dg== 197651 +0L3RltGI 197652 +IFN0YWZmaW5n 197653 +IFBhbGF2cmE= 197654 +IFBBUkFNRVRFUlM= 197655 +IGdhbGx3Y2g= 197656 +IEF1dGV1cg== 197657 +IGZyaXZvbA== 197658 +IHNldHRpbWFuZQ== 197659 +IGVuY2xhdmU= 197660 +IG9zdm9q 197661 +bGVzenQ= 197662 +INmI2KfYttit2Kk= 197663 +15XXkdeZ 197664 +IFBSRVNJREVOVA== 197665 +YW1hbQ== 197666 +5qm5 197667 +4Liq4Li54LiV4Lij 197668 +IOCwteCxh+Cwsg== 197669 +LWNoYXZl 197670 +IHF14bqjbmc= 197671 +5LiI5aSr 197672 +IFBDUA== 197673 +RHJvcHM= 197674 +U3VjdXJzYWw= 197675 +TU9R 197676 +INC+0YHQstGW 197677 +INC60q/RgtOZ0YA= 197678 +bW91c2VlbnRlcg== 197679 +IERpdmluZw== 197680 +bsOhdg== 197681 +INKX05nRgA== 197682 +ID09PT0= 197683 +aXNtZXQ= 197684 +c3RyYWlnaHQ= 197685 +INC40LTQsNGA 197686 +IG1uaWVq 197687 +zqDOsQ== 197688 +IOCkhuCksuCliw== 197689 +KCIuIik7Cg== 197690 +IGJhbHQ= 197691 +dmVyc2NobHVzcw== 197692 +IOCkueCkvuCksuCkpA== 197693 +aW5zcA== 197694 +X0hFQURFUlM= 197695 +INC/0YDQuNGF0L7QtNC40YI= 197696 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197744 +IG53YW554buL 197745 +IHN5cmluZ2U= 197746 +IEF2ZW50 197747 +INiz2YrYp9iz2Kk= 197748 +IHd5cG9zYcW8 197749 +X3d3dw== 197750 +PmQ= 197751 +LkVtcA== 197752 +IHPDsm5yYWljaHRl 197753 +LmZ1dHVyZQ== 197754 +6LaK5p2l6LaK 197755 +IHRoYWly 197756 +aXp1bmd1bXph 197757 +INGB0L7QstGA0LXQvNC10L3QvdGL0LU= 197758 +IGRpY3RhdG9yc2hpcA== 197759 +KENoYW5nZQ== 197760 +IGhpa2Vycw== 197761 +4LK+4LKC4LKk4LKw 197762 +INCx0LjQu9C00q/RgNCz05nQvQ== 197763 +4YOb4YOn4YOd4YOk 197764 +INGY0LDQsg== 197765 +ZWRlbnQ= 197766 +IGRpc3Byb3BvcnRpb25hdGVseQ== 197767 +4LK+4LKm4LON 197768 +IG5ld2ZvdW5k 197769 +54Ot5LmF5LmF57K+5ZOB 197770 +IEFjY29yZGlvbg== 197771 +INiu2KjYsdmK 197772 +IFdlc2Vu 197773 +4oCZZW8= 197774 +IGNvcnRpY2Fs 197775 +6KOF5aSH 197776 +IFdlaXRlcmJpbGR1bmc= 197777 +VW5uYW1lZA== 197778 +IFBhY2g= 197779 +IGNvbGxhYm9yYXRvcg== 197780 +S2Fuc2Fz 197781 +INmI2YXYs9iq 197782 +IGNvbnNjaWVudGlvdXM= 197783 +INC80LDSm9C+0LzQvtGC0Lg= 197784 +INiz2YfZhNip 197785 +fHJlcXVpcmVk 197786 +cGxvaXQ= 197787 +Q2FyZ2E= 197788 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198353 +4LSx4LSj 198354 +xbg= 198355 +WlU= 198356 +4Kq+4Kqo4KuN4Kq4 198357 +xLFzxLF5bGE= 198358 +IGludGVydmp1 198359 +77yJLA== 198360 +R3Jhdw== 198361 +IGNhdXNhZGE= 198362 +IGNvbnZleW9ycw== 198363 +0YbQuNGP0YLQsA== 198364 +IHJvdWxhbnQ= 198365 +IOCwquCwsOCxgeCwlw== 198366 +IEJvZ2E= 198367 +KGlucGxhY2U= 198368 +U0VNQg== 198369 +IOC4o+C4sOC4muC4mg== 198370 +IGFzc3VyaW5n 198371 +YWNoYWVs 198372 +IHTDoW1vZ2F0 198373 +IGVsZWl0b3I= 198374 +INW61aHVv9Wl1oDVodWm1bTVqw== 198375 +IHVsaW0= 198376 +15XXqNeQ 198377 +IMW+aXZsamVuamU= 198378 +aWdpYQ== 198379 +IEdlcnM= 198380 +INiq2LXYp9mI24zYsQ== 198381 +TG9hbnM= 198382 +INGF0YPRgdGD0YE= 198383 +4Kyb 198384 +aXphY2ph 198385 +UHVlcnRv 198386 +44CB5a6J5YWo 198387 +IDsKLy8= 198388 +LmV1bGVy 198389 +LlZlaGljbGU= 198390 +IGlzaXQ= 198391 +IEJyaXRhbm5pY2E= 198392 +X3BlcmY= 198393 +IGNvbm5lY3RpdmU= 198394 +IG5pdG9yaW5hYQ== 198395 +IE1VTA== 198396 +IikrIg== 198397 +ZW1ibw== 198398 +IFJlY2s= 198399 +IFJlZGVz 198400 +IEtvbnRleHQ= 198401 +aHBw 198402 +CXJlcGx5 198403 +IGdsYXVjb21h 198404 +aXNzYW5p 198405 +INmI2LHagduQ 198406 +2LXYsdmK 198407 +Z2FyaA== 198408 +b3ZhbsO9Y2g= 198409 +ZGV0ZXJt 198410 +INCw0pk= 198411 +IOCwpOCwrw== 198412 +IH0pDQoNCg== 198413 +4LSV4LWN4LSV4LWB4LSo4LWN4LSo 198414 +IGJhdG9u 198415 +0LDSm9OZ0LXQuA== 198416 +IOGDlOGDoOGDl+GDm+GDkOGDnOGDlOGDl+GDoQ== 198417 +IyMjIwo= 198418 +SMOkcg== 198419 +INCc0LXQvA== 198420 +LUNPTg== 198421 +IFJlc3VycmVjdGlvbg== 198422 +INCa0YA= 198423 +IGxsZWdhcsOh 198424 +IEV1cm9wZSdz 198425 +IE1lbG8= 198426 +IGNoZXJjaGVudA== 198427 +IHByYXdh 198428 +IGNsdXN0ZXJlZA== 198429 +IOCmuOCmvuCmleCnjeCmtw== 198430 +IGxvdW5naW5n 198431 +INWl1oDVr9aA1bbVpdaA1as= 198432 +INGB0L7RgNGC0LA= 198433 +KGZsYXQ= 198434 +IGJsb2NrYWRl 198435 +INGF06nQs9C2 198436 +IOC5geC4mQ== 198437 +IGtydWlz 198438 +INmE2YXYsw== 198439 +4LSq4LWN4LSq4LWG4LSf4LWB4LSk4LWN4LSk4LS/4LSv 198440 +IG9keg== 198441 +IOS5heS5heeDrQ== 198442 +aGF2YQ== 198443 +IEZsZXNo 198444 +IGzhu4U= 198445 +IGRpbHV0ZQ== 198446 +IHVuZm9y 198447 +IEF0dGVtcHRz 198448 +ZGVjbHR5cGU= 198449 +YW1iaXNh 198450 +IGdlZGVlbHQ= 198451 +IG1hbmdhcw== 198452 +IGtvamVn 198453 +IGphdW5lcw== 198454 +IEpOSQ== 198455 +157XoteY 198456 +IG1hc2N1bGlu 198457 +cXFhYXQ= 198458 +IHBsbA== 198459 +YWxwaGFiZXQ= 198460 +IOCujuCuqeCvjeCuquCupOCviA== 198461 +IGdlcmluZ2U= 198462 +INiz2YjYsduM 198463 +IEluc3BpcmF0aW9ucw== 198464 +YXZpZXN0 198465 +IHJlbGF0YQ== 198466 +IG5hY2s= 198467 +IHRlamlkb3M= 198468 +IGluZGlrYXRvcg== 198469 +ZG9w 198470 +IFNjaHdhbno= 198471 +b3dhbmk= 198472 +IHRlcmFzYQ== 198473 +2ZHZiQ== 198474 +IEZNSQ== 198475 +IGt1c2hv 198476 +IOC0quC0tA== 198477 +IOaBkuS4gA== 198478 +IMW+ZW5l 198479 +IHNrYg== 198480 +YWR3eQ== 198481 +IGFnZW5jaWFz 198482 +4K+B4K6V4K+N4K6V4K6z4K+N 198483 +IGludGVyc2VjdHM= 198484 +IGVtb3o= 198485 +IHJveWF1bWU= 198486 +ICgpLAo= 198487 +IOaoqg== 198488 +QkND 198489 +IGVvZg== 198490 +OmdyaWQ= 198491 +4LKX4LK+4LKX4LK/ 198492 +4LS+4LSv4LWN 198493 +UHJldA== 198494 +IGluY3Jlw61ibGVz 198495 +dWx0bw== 198496 +IG92ZXJsaWpkZW4= 198497 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198771 +INi52KjYp9ix2Ko= 198772 +INin2YTZiNir 198773 +INCy0LDQttC90YvRhQ== 198774 +INij2K3Yr9in2Ks= 198775 +LWJ1ZGdldA== 198776 +INeY15XXmA== 198777 +LnNjYWxhcg== 198778 +INix2LPZhduM 198779 +IFdheGFhbg== 198780 +QFw= 198781 +zrrPjM+D 198782 +IGxldmk= 198783 +INC/0L7QutCw0LfQsNGC0LXQu9GM 198784 +IGJvcQ== 198785 +4Z6J4Z+S4Z6H 198786 +IHBlcmln 198787 +IGFmd2lqaw== 198788 +IFBhcm1h 198789 +ZXRlbQ== 198790 +IHJlZ2VsZ2V2aW5n 198791 +7J2066m0 198792 +IGF1c2dlc3Byb2NoZW4= 198793 +KCcuJyk7Cg== 198794 +X3dyaXR0ZW4= 198795 +KHRvZ2dsZQ== 198796 +IGF1bWVudGFkbw== 198797 +IGpvcm5haXM= 198798 +5bCk54mp 198799 +INC90LDQvNC+0Y/QvQ== 198800 +2YjYr9ix 198801 +V2hpdA== 198802 +IGxpdmVsbGk= 198803 +LlBORw== 198804 +IElnbml0ZQ== 198805 +IElJUw== 198806 +YWplbg== 198807 +IGxldHRlbg== 198808 +IHNob3BwZW4= 198809 +IOCkh+CkpOCkqOClhw== 198810 +bWFya3Vw 198811 +IGJzcA== 198812 +IHByb21lc3Nh 198813 +IOCyquCzjeCysOCytuCzjeCyqA== 198814 +IFNhYmFo 198815 +IENvbcOpcmNpbw== 198816 +YW1hbnpp 198817 +IEF1c2JhdQ== 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+KToo 199990 +IFByb2R1aXQ= 199991 +QWlyY3JhZnQ= 199992 +aWZmZW4= 199993 +IHBhdHJvbmVz 199994 +IHBhcsOibWV0cm9z 199995 +Q3Vyc29z 199996 +IGNvY29z 199997 diff --git a/projects/pgai/pgai/vectorizer/vectorizer.py b/projects/pgai/pgai/vectorizer/vectorizer.py new file mode 100644 index 000000000..c1e225b6a --- /dev/null +++ b/projects/pgai/pgai/vectorizer/vectorizer.py @@ -0,0 +1,553 @@ +import asyncio +import threading +import time +from functools import cached_property +from itertools import repeat +from typing import Any, TypeAlias + +import numpy as np +import psycopg +import structlog +from ddtrace import tracer +from pgvector.psycopg import register_vector_async # type: ignore +from psycopg import AsyncConnection, sql +from psycopg.rows import dict_row +from psycopg.types.json import Jsonb +from pydantic.dataclasses import dataclass +from pydantic.fields import Field + +from .chunking import ( + LangChainCharacterTextSplitter, + LangChainRecursiveCharacterTextSplitter, +) +from .embeddings import ChunkEmbeddingError, OpenAI +from .formatting import ChunkValue, PythonTemplate +from .processing import ProcessingDefault + +logger = structlog.get_logger() + +VectorizerErrorRecord: TypeAlias = tuple[int, str, Jsonb] +EmbeddingRecord: TypeAlias = list[Any] +SourceRow: TypeAlias = dict[str, Any] + +DEFAULT_CONCURRENCY = 1 + +VECTORIZER_FAILED = "vectorizer failed with unexpected error" + + +class EmbeddingProviderError(Exception): + msg = "embedding provider failed" + + +@dataclass +class PkAtt: + attname: str + typname: str + + +@dataclass +class Config: + version: str + embedding: OpenAI + processing: ProcessingDefault + chunking: ( + LangChainCharacterTextSplitter | LangChainRecursiveCharacterTextSplitter + ) = Field(..., discriminator="implementation") + formatting: PythonTemplate | ChunkValue = Field(..., discriminator="implementation") + + +@dataclass +class Vectorizer: + id: int + config: Config + queue_table: str + queue_schema: str + source_schema: str + source_table: str + target_schema: str + target_table: str + source_pk: list[PkAtt] + errors_schema: str = "ai" + errors_table: str = "vectorizer_errors" + + +class VectorizerQueryBuilder: + def __init__(self, vectorizer: Vectorizer): + self.vectorizer = vectorizer + + @property + def pk_fields_sql(self) -> sql.Composed: + return sql.SQL(" ,").join( + [sql.Identifier(a.attname) for a in self.vectorizer.source_pk] + ) + + @cached_property + def pk_attnames(self) -> list[str]: + return [a.attname for a in self.vectorizer.source_pk] + + @property + def pk_fields(self) -> list[sql.Identifier]: + return [sql.Identifier(a.attname) for a in self.vectorizer.source_pk] + + @property + def target_table_ident(self) -> sql.Identifier: + return sql.Identifier( + self.vectorizer.target_schema, self.vectorizer.target_table + ) + + @property + def errors_table_ident(self) -> sql.Identifier: + return sql.Identifier( + self.vectorizer.errors_schema, self.vectorizer.errors_table + ) + + @property + def queue_table_ident(self) -> sql.Identifier: + return sql.Identifier(self.vectorizer.queue_schema, self.vectorizer.queue_table) + + @cached_property + def fetch_work_query(self) -> sql.Composed: + return sql.SQL(""" + WITH selected_rows AS ( + SELECT {pk_fields} + FROM {queue_table} + LIMIT %s + FOR UPDATE SKIP LOCKED + ), + locked_items AS ( + SELECT + {pk_fields}, + pg_try_advisory_xact_lock( + %s, + hashtext(concat_ws('|', {lock_fields})) + ) AS locked + FROM ( + SELECT DISTINCT {pk_fields} + FROM selected_rows + ORDER BY {pk_fields} + ) as ids + ), + deleted_rows AS ( + DELETE FROM {queue_table} AS w + USING locked_items AS l + WHERE locked = true + AND {delete_join_predicates} + ) + SELECT {source_table}.* + FROM locked_items + LEFT JOIN {source_schema}.{source_table} USING ({pk_fields}) + WHERE locked = true + ORDER BY {pk_fields} + """).format( + pk_fields=self.pk_fields_sql, + queue_table=sql.Identifier( + self.vectorizer.queue_schema, self.vectorizer.queue_table + ), + lock_fields=sql.SQL(" ,").join( + [ + xs + for x in self.vectorizer.source_pk + for xs in [ + sql.Literal(x.attname), + sql.Identifier(x.attname), + ] + ] + ), + delete_join_predicates=sql.SQL(" AND ").join( + [ + sql.SQL("w.{} = l.{}").format( + sql.Identifier(x.attname), + sql.Identifier(x.attname), + ) + for x in self.vectorizer.source_pk + ] + ), + source_schema=sql.Identifier(self.vectorizer.source_schema), + source_table=sql.Identifier(self.vectorizer.source_table), + ) + + @cached_property + def fetch_queue_table_oid_query(self) -> sql.Composed: + return sql.SQL("SELECT to_regclass('{}')::oid").format( + sql.Identifier(self.vectorizer.queue_schema, self.vectorizer.queue_table) + ) + + def delete_embeddings_query(self, items_count: int) -> sql.Composed: + return sql.SQL("DELETE FROM {} WHERE ({}) IN ({})").format( + self.target_table_ident, + self.pk_fields_sql, + self._pks_placeholders_tuples(items_count), + ) + + @cached_property + def copy_types(self) -> list[str]: + types = [a.typname for a in self.vectorizer.source_pk] + types.extend(["int4", "text", "vector"]) + return types + + @cached_property + def copy_embeddings_query(self) -> sql.Composed: + return sql.SQL( + "COPY {} ({}, chunk_seq, chunk, embedding) FROM STDIN WITH (FORMAT BINARY)" + ).format( + self.target_table_ident, + self.pk_fields_sql, + ) + + @cached_property + def insert_embeddings_query(self) -> sql.Composed: + return sql.SQL( + "INSERT INTO {} ({}, chunk_seq, chunk, embedding) VALUES ({}, %s, %s, %s)" + ).format( + self.target_table_ident, + self.pk_fields_sql, + sql.SQL(" ,").join(list(repeat(sql.SQL("%s"), len(self.pk_fields)))), + ) + + @cached_property + def insert_errors_query(self) -> sql.Composed: + return sql.SQL( + "INSERT INTO {} (id, message, details) VALUES (%s, %s, %s)" + ).format( + self.errors_table_ident, + ) + + def _pks_placeholders_tuples(self, items_count: int) -> sql.Composed: + """Generates a comma separated list of tuples with placeholders for the + primary key fields of the source table. + + If the primary key has 2 fields, and we want to generate the + placeholders to match against 3 items: + + self._pks_placeholders_tuples(3) + # => "(%s, %s), (%s, %s), (%s, %s)" + + This can be used for queries like: + + DELETE FROM table WHERE (pk1, pk2) IN ((%s, %s), (%s, %s), (%s, %s)) + + We cannot use ANY = %s because Postgres doesn't allow it for anonymous + composite values. + """ + placeholder_tuple = sql.SQL(", ").join( + sql.Placeholder() for _ in range(len(self.vectorizer.source_pk)) + ) + + tuples = sql.SQL(",").join( + sql.SQL("({})").format(placeholder_tuple) for _ in range(items_count) + ) + return tuples + + +class ProcessingStats: + total_processing_time: float + total_chunks: int + wall_time: float + wall_start: float + + def __new__(cls): + if not hasattr(cls, "_instance"): + cls._instance = super().__new__(cls) + + logger.debug( + "ProcessingStats initialized", + thread_id=threading.get_native_id(), + active_count=threading.active_count(), + task=id(asyncio.current_task()), + ) + cls._instance.total_processing_time = 0.0 + cls._instance.total_chunks = 0 + cls._instance.wall_start = time.perf_counter() + return cls._instance + + def add_request_time(self, duration: float, chunk_count: int): + self.total_processing_time += duration + self.total_chunks += chunk_count + + async def print_stats(self): + chunks_per_second_per_thread = ( + self.total_chunks / self.total_processing_time + if self.total_processing_time > 0 + else 0 + ) + wall_time = time.perf_counter() - self.wall_start + chunks_per_second = self.total_chunks / wall_time if wall_time > 0 else 0 + await logger.adebug( + "Processing stats", + wall_time=wall_time, + total_processing_time=self.total_processing_time, + total_chunks=self.total_chunks, + chunks_per_second=chunks_per_second, + chunks_per_second_per_thread=chunks_per_second_per_thread, + task=id(asyncio.current_task()), + ) + + +class Worker: + _queue_table_oid = None + + def __init__(self, db_url: str, vectorizer: Vectorizer): + self.db_url = db_url + self.vectorizer = vectorizer + self.queries = VectorizerQueryBuilder(vectorizer) + + async def run(self) -> int: + """Embedding loop. Fetches tasks from the work queue, processes them in the + context of a transaction. + + Returns: + The number of tasks processed from the work queue. + """ + res = 0 + + async with await psycopg.AsyncConnection.connect(self.db_url) as conn: + await register_vector_async(conn) + while True: + items_processed = await self._do_batch(conn) + if items_processed == 0: + return res + res += items_processed + + @tracer.wrap() + async def _do_batch(self, conn: AsyncConnection) -> int: + processing_stats = ProcessingStats() + try: + start_time = time.perf_counter() + async with conn.transaction(): + items = await self._fetch_work(conn) + + current_span = tracer.current_span() + if current_span: + current_span.set_tag("items_from_queue.pulled", len(items)) + await logger.adebug(f"Items pulled from queue: {len(items)}") + + # Filter out items that were deleted from the source table. + # We use the first primary key column, since they can only + # be null if the LEFT JOIN didn't find a match. + items = [ + i + for i in items + if i[self.vectorizer.source_pk[0].attname] is not None + ] + + if len(items) == 0: + return 0 + + num_chunks = await self._embed_and_write(conn, items) + + processing_stats.add_request_time( + time.perf_counter() - start_time, num_chunks + ) + await processing_stats.print_stats() + + return len(items) + except EmbeddingProviderError as e: + async with conn.transaction(): + await self._insert_vectorizer_error( + conn, + ( + self.vectorizer.id, + e.msg, + Jsonb( + { + "provider": self.vectorizer.config.embedding.implementation, # noqa + "error_reason": str(e.__cause__), + } + ), + ), + ) + # This is to make the traceback not as verbose by removing + # the lines about our wrapper exception being casused by + # the actual exception. + if e.__cause__ is not None: + raise e.__cause__ # noqa + raise e + except Exception as e: + async with conn.transaction(): + await self._insert_vectorizer_error( + conn, + ( + self.vectorizer.id, + VECTORIZER_FAILED, + Jsonb({"error_reason": str(e)}), + ), + ) + raise e + + async def _fetch_work(self, conn: AsyncConnection) -> list[SourceRow]: + """Fetches a batch of tasks from the work queue table. It's safe for + concurrent use. + + Follows the approach described in: + + https://www.timescale.com/blog/how-we-designed-a-resilient-vector-embedding-creation-system-for-postgresql-data/ + + Args: + conn: connection to the database. + + Returns: + The rows from the source table that need to be embedded. + """ + queue_table_oid = await self._get_queue_table_oid(conn) + async with conn.cursor(row_factory=dict_row) as cursor: + # TODO: What if the transaction is rolled back? Are we going to keep + # processing the same task over an over. Do we abort? Move the work + # tasks to a dead letter queue ? Retry many times? + await cursor.execute( + self.queries.fetch_work_query, + ( + self.vectorizer.config.processing.batch_size, + queue_table_oid, + ), + ) + return await cursor.fetchall() + + async def _get_queue_table_oid(self, conn: AsyncConnection) -> int: + if self._queue_table_oid is not None: + return self._queue_table_oid + + async with conn.cursor(row_factory=dict_row) as cursor: + await cursor.execute( + self.queries.fetch_queue_table_oid_query, + ) + row = await cursor.fetchone() + if not row: + # TODO: if the work queue table doesn't exists how do we handle it? + # We should have a specific code for errors of this kind. Tables + # not existing, columns not existing, etc. + raise Exception("work queue table doesn't exist") + self._queue_table_oid = row["to_regclass"] + return self._queue_table_oid + + @tracer.wrap() + async def _embed_and_write(self, conn: AsyncConnection, items: list[SourceRow]): + """Embeds the items and writes them to the database: + + - Deletes items from the embdedding table that are going to be updated. + - Generates the documents to embedded. Generates the chunks from the + source column, and formats the chunks based on the formatting + configuration. + - Sends the documents to the embeddings provider to generate the + embeddings. + - Writes the embeddings to the database. + - Write any non-fatal errors, like individual chunks that couldn't be + embed. + """ + + await self._delete_embeddings(conn, items) + records, errors = await self._generate_embeddings(items) + # await self._insert_embeddings(conn, records) + await self._copy_embeddings(conn, records) + if errors: + await self._insert_vectorizer_errors(conn, errors) + + return len(records) + + async def _delete_embeddings(self, conn: AsyncConnection, items: list[SourceRow]): + """Deletes the embeddings for the given item.""" + ids = [item[pk] for item in items for pk in self.queries.pk_attnames] + async with conn.cursor() as cursor: + await cursor.execute(self.queries.delete_embeddings_query(len(items)), ids) + + @tracer.wrap() + async def _insert_embeddings( + self, + conn: AsyncConnection, + records: list[EmbeddingRecord], + ): + """Inserts embeddings into the embedding table""" + async with conn.cursor() as cursor: + await cursor.executemany(self.queries.insert_embeddings_query, records) + + @tracer.wrap() + async def _copy_embeddings( + self, + conn: AsyncConnection, + records: list[EmbeddingRecord], + ): + """Inserts embeddings into the embedding table using + COPY FROM STDIN WITH (FORMAT BINARY)""" + async with ( + conn.cursor(binary=True) as cursor, + cursor.copy(self.queries.copy_embeddings_query) as copy, + ): + copy.set_types(self.queries.copy_types) + for record in records: + await copy.write_row(record) + + async def _insert_vectorizer_errors( + self, + conn: AsyncConnection, + records: list[VectorizerErrorRecord], + ): + """Inserts vectorizer errors into the errors table""" + async with conn.cursor() as cursor: + await cursor.executemany(self.queries.insert_errors_query, records) + + async def _insert_vectorizer_error( + self, + conn: AsyncConnection, + record: VectorizerErrorRecord, + ): + """Inserts a vectorizer error into the errors table""" + async with conn.cursor() as cursor: + await cursor.execute(self.queries.insert_errors_query, record) + + def _get_item_pk_values(self, item: SourceRow) -> list[Any]: + return [item[pk] for pk in self.queries.pk_attnames] + + async def _generate_embeddings( + self, items: list[SourceRow] + ) -> tuple[list[EmbeddingRecord], list[VectorizerErrorRecord]]: + """Generates the embeddings for the items.""" + records_without_embeddings: list[EmbeddingRecord] = [] + documents: list[str] = [] + for item in items: + pk = self._get_item_pk_values(item) + chunks = self.vectorizer.config.chunking.into_chunks(item) + records_without_embeddings.extend( + [pk + [chunk_id, chunk] for chunk_id, chunk in enumerate(chunks, 1)] + ) + documents.extend( + [ + self.vectorizer.config.formatting.format(chunk, item) + for chunk in chunks + ] + ) + + try: + embeddings = await self.vectorizer.config.embedding.embed(documents) + except Exception as e: + raise EmbeddingProviderError() from e + + assert len(embeddings) == len(records_without_embeddings) + + records: list[EmbeddingRecord] = [] + errors: list[VectorizerErrorRecord] = [] + for record, embedding in zip( + records_without_embeddings, embeddings, strict=True + ): + if isinstance(embedding, ChunkEmbeddingError): + errors.append(self._vectorizer_error_record(record, embedding)) + else: + records.append(record + [np.array(embedding)]) + return records, errors + + def _vectorizer_error_record( + self, record: EmbeddingRecord, chunk_error: ChunkEmbeddingError + ) -> VectorizerErrorRecord: + return ( + self.vectorizer.id, + chunk_error.error, + Jsonb( + { + "pk": { + pk_attname: record[i] + for i, pk_attname in enumerate(self.queries.pk_attnames) + }, + "chunk_id": record[-2], + "chunk": record[-1], + "error_reason": chunk_error.error_details, + } + ), + ) diff --git a/projects/pgai/pyproject.toml b/projects/pgai/pyproject.toml new file mode 100644 index 000000000..cda45e750 --- /dev/null +++ b/projects/pgai/pyproject.toml @@ -0,0 +1,140 @@ +[build-system] +requires = ["setuptools"] +build-backend = "setuptools.build_meta" + +[project] +name = "pgai" +dynamic = ["version", "dependencies"] +requires-python = ">=3.10" + +[tool.setuptools.dynamic] +version = {attr = "pgai.__version__"} +dependencies = {file = "requirements.txt"} + +[tool.setuptools.packages.find] +where = ["."] # list of folders that contain the packages (["."] by default) +include = ["pgai*"] # package names should match these glob patterns (["*"] by default) +namespaces = false # to disable scanning PEP 420 namespaces (true by default) + +[project.scripts] +vectorizer = "pgai.cli:run" + +[tool.pytest.ini_options] +addopts = [ + "--import-mode=importlib", +] + +[tool.pyright] +# this enables practically every flag given by pyright. +# there are a couple of flags that are still disabled by +# default in strict mode as they are experimental and niche. +typeCheckingMode = "strict" + +reportImplicitOverride = true +exclude = [ + "**/.bzr", + "**/.direnv", + "**/.eggs", + "**/.git", + "**/.git-rewrite", + "**/.hg", + "**/.ipynb_checkpoints", + "**/.mypy_cache", + "**/.nox", + "**/.pants.d", + "**/.pyenv", + "**/.pytest_cache", + "**/.pytype", + "**/.ruff_cache", + "**/.svn", + "**/.tox", + "**/.venv", + "**/.vscode", + "**/__pypackages__", + "**/_build", + "**/buck-out", + "pgai/build", + "**/dist", + "**/node_modules", + "**/site-packages", + "**/venv", +] + + +[tool.ruff] +line-length = 88 +indent-width = 4 +output-format = "grouped" +target-version = "py310" + +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".vscode", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", +] + +[tool.ruff.format] +docstring-code-format = true + +# Like Black, use double quotes for strings. +quote-style = "double" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" + +[tool.ruff.lint] + +select = [ + # pycodestyle + "E", + # Pyflakes + "F", + # pyupgrade + "UP", + # flake8-bugbear + "B", + # flake8-simplify + "SIM", + # isort + "I", + # unused arguments + "ARG", + # trailing whitespace + "W291", + # print statements + "PIE", + # flakes8-quote + "Q" +] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" diff --git a/projects/pgai/pytest.ini b/projects/pgai/pytest.ini new file mode 100644 index 000000000..0ee949b89 --- /dev/null +++ b/projects/pgai/pytest.ini @@ -0,0 +1,2 @@ +[pytest] +python_files = test_*.py diff --git a/projects/pgai/requirements.txt b/projects/pgai/requirements.txt new file mode 100644 index 000000000..ffa5d500f --- /dev/null +++ b/projects/pgai/requirements.txt @@ -0,0 +1,12 @@ +click==8.1.7 +psycopg[binary]==3.2.1 +langchain-openai==0.1.23 +langchain-text-splitters==0.2.4 +pydantic==2.9.1 +openai==1.44.0 +python-dotenv==1.0.1 +structlog==24.4.0 +datadog-lambda +pgvector==0.3.3 +tiktoken==0.7.0 +typing_extensions==4.12.2 diff --git a/projects/pgai/tests/__init__.py b/projects/pgai/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/projects/pgai/tests/vectorizer/__init__.py b/projects/pgai/tests/vectorizer/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/projects/pgai/tests/vectorizer/cassettes/openai-character_text_splitter-chunk_value-items=1-batch_size=1.yaml b/projects/pgai/tests/vectorizer/cassettes/openai-character_text_splitter-chunk_value-items=1-batch_size=1.yaml new file mode 100644 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The + # lambda function sets an evironment variable for using the secrets. We + # need to clear the environment after a test runs. + original_env = os.environ.copy() + + # OpenAI uses tiktoken to get the model encoding specification to use when + # tokenizing. The model spec is fetched with a GET request and stored in a + # cache directory. We need to create a temp dir as cache, to trigger a + # request on every test. + monkeypatch.setenv("TIKTOKEN_CACHE_DIR", "") # type:ignore + yield + + tiktoken.registry.ENCODINGS = {} + + os.environ.clear() + os.environ.update(original_env) + + +@pytest.fixture(scope="session") +def vcr_(): + cassette_library_dir = Path(__file__).parent.joinpath("cassettes") + cassette_library_dir.mkdir(exist_ok=True) + return vcr.VCR( + serializer="yaml", + cassette_library_dir=str(cassette_library_dir), + record_mode=vcr.mode.ONCE, + filter_headers=["authorization"], + match_on=["method", "scheme", "host", "port", "path", "query", "body"], + ) + + +@pytest.fixture(scope="session") +def postgres_container(): + with PostgresContainer("timescale/timescaledb-ha:pg16", driver=None) as postgres: + yield postgres + + +@pytest.fixture +def embedding_table_config(): + return { + "source_schema": "public", + "source_table": "blog", + "source_pk": [ + {"attname": "id", "pknum": 1, "attnum": 1, "typname": "int4"}, + {"attname": "id2", "pknum": 2, "attnum": 2, "typname": "int4"}, + ], + "embeddings_table": "blog_embedding", + "queue_schema": "ai", + "queue_table": "work_queue", + "target_schema": "ai", + "target_table": "embeddings", + } + + +@pytest.fixture +def db( + postgres_container: PostgresContainer, embedding_table_config: dict[str, Any] +) -> Any: + role = "tsdbquerier" + password = "my-password" + db_host = postgres_container._docker.host() # type: ignore + with psycopg.connect( + postgres_container.get_connection_url(host=db_host), + autocommit=True, + ) as conn: + conn.execute( + sql.SQL("DROP USER IF EXISTS {}").format( + sql.Identifier(role), + ) + ) + conn.execute( + sql.SQL("CREATE USER {} WITH SUPERUSER PASSWORD {}").format( + sql.Identifier(role), + password, + ) + ) + schema = sql.Identifier(embedding_table_config["target_schema"]) + conn.execute(sql.SQL("DROP SCHEMA IF EXISTS {} CASCADE").format(schema)) + conn.execute(sql.SQL("CREATE SCHEMA {}").format(schema)) + conn.execute("DROP SCHEMA public CASCADE;") + conn.execute("CREATE SCHEMA public") + conn.execute("CREATE EXTENSION vector") + + conn.execute( + sql.SQL(""" + CREATE TABLE {0}.{1} ( + {2} SERIAL NOT NULL, + {3} SERIAL NOT NULL, + content TEXT NOT NULL, + PRIMARY KEY ({2}, {3}) + )""").format( + sql.Identifier(embedding_table_config["source_schema"]), + sql.Identifier(embedding_table_config["source_table"]), + sql.Identifier(embedding_table_config["source_pk"][0]["attname"]), + sql.Identifier(embedding_table_config["source_pk"][1]["attname"]), + ) + ) + + conn.execute( + sql.SQL("CREATE TABLE {} ({} INT, {} INT, queued_at timestamptz)").format( + sql.Identifier( + embedding_table_config["queue_schema"], + embedding_table_config["queue_table"], + ), + sql.Identifier(embedding_table_config["source_pk"][0]["attname"]), + sql.Identifier(embedding_table_config["source_pk"][1]["attname"]), + ) + ) + + conn.execute( + sql.SQL("CREATE INDEX ON {}({}, {})").format( + sql.Identifier( + embedding_table_config["queue_schema"], + embedding_table_config["queue_table"], + ), + sql.Identifier(embedding_table_config["source_pk"][0]["attname"]), + sql.Identifier(embedding_table_config["source_pk"][1]["attname"]), + ) + ) + + conn.execute( + sql.SQL(""" + CREATE TABLE {0} ( + chunk_id UUID PRIMARY KEY default gen_random_uuid(), + {1} INT NOT NULL, + {2} INT NOT NULL, + chunk_seq INT NOT NULL, + chunk TEXT, + embedding VECTOR({3}), + UNIQUE ({1}, {2}, chunk_seq), + FOREIGN KEY ({1}, {2}) REFERENCES {4}.{5} ({6}, {7}) + ) + """).format( + sql.Identifier( + embedding_table_config["target_schema"], + embedding_table_config["target_table"], + ), + sql.Identifier(embedding_table_config["source_pk"][0]["attname"]), + sql.Identifier(embedding_table_config["source_pk"][1]["attname"]), + DIMENSION_COUNT, + sql.Identifier(embedding_table_config["source_schema"]), + sql.Identifier(embedding_table_config["source_table"]), + sql.Identifier(embedding_table_config["source_pk"][0]["attname"]), + sql.Identifier(embedding_table_config["source_pk"][1]["attname"]), + ) + ) + + conn.execute(""" + create table ai.vectorizer_errors + ( id int not null + , message text + , details jsonb + , recorded timestamptz not null default now() + ); + """) + + yield { + "container": postgres_container, + "conn": conn, + "event_db_config": { + "host": postgres_container._docker.host(), # type: ignore + "port": int( + postgres_container.get_exposed_port(postgres_container.port) + ), + "db_name": postgres_container.dbname, + "ssl_mode": "disable", + "role": role, + "password": password, + }, + } + + +@dataclass +class ItemFixture: + pk_att_1: int + pk_att_2: int + content: str + + +@pytest.fixture +def items_fixtures(request: pytest.FixtureRequest) -> list[ItemFixture]: + items_count = getattr(request, "param", 1) + return [ItemFixture(i, i, f"post_{i}") for i in range(1, items_count + 1)] + + +@pytest.fixture +def db_with_data( + db: dict[str, Any], + embedding_table_config: dict[str, Any], + items_fixtures: list[ItemFixture], +) -> dict[str, Any]: + with db["conn"].cursor() as cursor: + items = [[i.pk_att_1, i.pk_att_2, i.content] for i in items_fixtures] + insert_source_query = sql.SQL( + "INSERT INTO {}.{} ({}, {}, content) VALUES (%s, %s, %s)" + ).format( + sql.Identifier(embedding_table_config["source_schema"]), + sql.Identifier(embedding_table_config["source_table"]), + sql.Identifier(embedding_table_config["source_pk"][0]["attname"]), + sql.Identifier(embedding_table_config["source_pk"][1]["attname"]), + ) + if items: + cursor.executemany(insert_source_query, items) + + work_items = [[i.pk_att_1, i.pk_att_2] for i in items_fixtures] + if work_items: + cursor.executemany( + sql.SQL("INSERT INTO {} ({}, {}) values (%s, %s)").format( + sql.Identifier( + embedding_table_config["queue_schema"], + embedding_table_config["queue_table"], + ), + sql.Identifier(embedding_table_config["source_pk"][0]["attname"]), + sql.Identifier(embedding_table_config["source_pk"][1]["attname"]), + ), + work_items, + ) + + # This won't be put on the queue + cursor.execute(insert_source_query, (-1, -1, "post_-1")) + + return db + + +@pytest.fixture(params=["openai"]) +def embedding(request: pytest.FixtureRequest) -> dict[str, Any]: + implementation = request.param + embeddings = { + "openai": { + "implementation": "openai", + "model": "text-embedding-ada-002", + "api_key_name": "OPENAI_API_KEY", + }, + } + + try: + return embeddings[implementation] + except KeyError as e: + raise ValueError(f"Unknown embedding implementation: {implementation}") from e + + +@pytest.fixture(params=["character_text_splitter", "recursive_character_text_splitter"]) +def chunking(request: pytest.FixtureRequest) -> dict[str, Any]: + implementation = request.param + chunkers = { + "character_text_splitter": { + "implementation": "character_text_splitter", + "separator": "\n\n", + "chunk_size": 128, + "chunk_column": "content", + "chunk_overlap": 10, + "is_separator_regex": False, + }, + "recursive_character_text_splitter": { + "implementation": "recursive_character_text_splitter", + "separators": ["\n\n"], + "chunk_size": 128, + "chunk_column": "content", + "chunk_overlap": 10, + "is_separator_regex": False, + }, + } + + try: + return chunkers[implementation] + except KeyError as e: + raise ValueError(f"Unknown chunking implementation: {implementation}") from e + + +@pytest.fixture(params=["chunk_value", "python_template"]) +def formatting(request: pytest.FixtureRequest) -> dict[str, Any]: + implementation = request.param + formatters = { + "python_template": { + "implementation": "python_template", + "template": "id: $id id2: $id2 $chunk", + }, + "chunk_value": {"implementation": "chunk_value"}, + } + + try: + return formatters[implementation] + except KeyError as e: + raise ValueError(f"Unknown formatting implementation: {implementation}") from e + + +@pytest.fixture +def concurrency(): + return 1 + + +@pytest.fixture +def batch_size(): + return 1 + + +@pytest.fixture +def base_event( + embedding_table_config: dict[str, Any], + embedding: dict[str, Any], + chunking: dict[str, Any], + formatting: dict[str, Any], + concurrency: int, + batch_size: int, +) -> dict[str, Any]: + return { + "payload": { + "id": 1, + "config": { + "version": "0.1.0", + "embedding": embedding, + "chunking": chunking, + "formatting": formatting, + # We are not directly using scheduling but it helps us tests + # that pydantic doesn't fail with the extra information in the + # event payload. + "scheduling": { + "job_id": 1000, + "timezone": "America/Chicago", + "config_type": "scheduling", + "initial_start": "2050-01-06T00:00:00+00:00", + "implementation": "timescaledb", + "schedule_interval": "00:05:00", + }, + "processing": { + "config_type": "processing", + "implementation": "default", + "batch_size": batch_size, + "concurrency": concurrency, + "log_level": "INFO", + }, + }, + **embedding_table_config, + }, + "update_embeddings": { + "db": { + "host": "localhost", + "port": 5432, + "role": "tsdbquerier", + "db_name": "tsdb", + "password": "my-password", + }, + "secrets": { + "OPENAI_API_KEY": os.environ.get("OPENAI_API_KEY", "my-secret"), + }, + }, + } + + +@pytest.fixture +def event( + db: dict[str, Any], + base_event: dict[str, Any], +) -> dict[str, Any]: + event = base_event.copy() + event["update_embeddings"]["db"] = db["event_db_config"] + return event diff --git a/projects/pgai/tests/vectorizer/expected.py b/projects/pgai/tests/vectorizer/expected.py new file mode 100644 index 000000000..8a65c3c91 --- /dev/null +++ b/projects/pgai/tests/vectorizer/expected.py @@ -0,0 +1,15 @@ +# flake8: noqa +embeddings = { + "openai-character_text_splitter-python_template-1-1": 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I", +} diff --git a/projects/pgai/tests/vectorizer/test_lambda.py b/projects/pgai/tests/vectorizer/test_lambda.py new file mode 100644 index 000000000..674ca7d4c --- /dev/null +++ b/projects/pgai/tests/vectorizer/test_lambda.py @@ -0,0 +1,324 @@ +from datetime import datetime, timedelta, timezone +from typing import Any +from uuid import UUID + +import openai +import pytest +from psycopg import sql +from psycopg.rows import dict_row +from pydantic import ValidationError + +from pgai.vectorizer.lambda_handler import lambda_handler + +from . import expected +from .conftest import DIMENSION_COUNT, ItemFixture + + +def id_from_fixtures(request: pytest.FixtureRequest) -> str: + embeddings = request.getfixturevalue("embedding")["implementation"] + chunking = request.getfixturevalue("chunking")["implementation"] + # Both will give us the same results for our small texts. + if chunking.endswith("character_text_splitter"): + chunking = "character_text_splitter" + formatting = request.getfixturevalue("formatting")["implementation"] + return f"{embeddings}-{chunking}-{formatting}" + + +def cassete_from_fixtures(request: pytest.FixtureRequest) -> str: + items_count = len(request.getfixturevalue("items_fixtures")) + batch_size = request.getfixturevalue("batch_size") + return f"{id_from_fixtures(request)}-items={items_count}-batch_size={batch_size}" + + +@pytest.mark.usefixtures("db") +def test_handler_no_tasks_ok(event: dict[str, Any]): + response = lambda_handler(event, None) + expected_response = {"statusCode": 200, "processed_tasks": 0} + assert expected_response == response + + +@pytest.mark.parametrize( + ("items_fixtures", "concurrency", "batch_size"), + [(1, 1, 1), (4, 2, 2)], + indirect=["items_fixtures"], +) +def test_handler_ok( + db_with_data: dict[str, Any], + vcr_: Any, + embedding_table_config: dict[str, Any], + items_fixtures: list[ItemFixture], + request: pytest.FixtureRequest, + event: dict[str, Any], +): + # Given some documents to be embedded. + # + # And one of the documents has an existing embeddings. + with db_with_data["conn"].cursor() as cur: + cur.execute( + sql.SQL("INSERT INTO {}({}, {}, chunk_seq) VALUES (1, 1, 1) ").format( + sql.Identifier( + embedding_table_config["target_schema"], + embedding_table_config["target_table"], + ), + sql.Identifier(embedding_table_config["source_pk"][0]["attname"]), + sql.Identifier(embedding_table_config["source_pk"][1]["attname"]), + ), + ) + + # When the lambda is invoked. + with vcr_.use_cassette(f"{cassete_from_fixtures(request)}.yaml"): + response = lambda_handler(event, None) + + # Then the lambda processes all documents. + expected_response = { + "statusCode": 200, + "processed_tasks": len(items_fixtures), + } + assert expected_response == response + + with db_with_data["conn"].cursor(row_factory=dict_row) as cur: + cur.execute( + sql.SQL("SELECT * FROM {} ORDER BY {}, {}").format( + sql.Identifier( + embedding_table_config["target_schema"], + embedding_table_config["target_table"], + ), + sql.Identifier(embedding_table_config["source_pk"][0]["attname"]), + sql.Identifier(embedding_table_config["source_pk"][1]["attname"]), + ) + ) + records = cur.fetchall() + + # And all the documents have a corresponding embedding. + # Adn the existing embedding is no longer in the table. + assert len(items_fixtures) == len(records) + + id_att = embedding_table_config["source_pk"][0]["attname"] + id2_att = embedding_table_config["source_pk"][1]["attname"] + + # The fixtures are sorted by id as well so they should match the result + # from the database. + for i, record in enumerate(records): + expected_item = items_fixtures[i] + embedding = record.pop("embedding") + chunk_id = record.pop("chunk_id") + assert isinstance(chunk_id, UUID) + assert record == { + id_att: expected_item.pk_att_1, + id2_att: expected_item.pk_att_2, + "chunk": expected_item.content, + "chunk_seq": 1, + } + + assert ( + expected.embeddings[ + f"{id_from_fixtures(request)}-{expected_item.pk_att_1}-{expected_item.pk_att_2}" + ] + == embedding + ) + + +def test_event_validation(): + event: dict[str, Any] = {} + with pytest.raises(ValidationError): + lambda_handler(event, None) + + +@pytest.mark.parametrize( + ("chunking", "formatting", "embedding"), + [("character_text_splitter", "chunk_value", "openai")], + indirect=True, +) +def test_invalid_function_arguments( + vcr_: Any, + event: dict[str, Any], + db_with_data: dict[str, Any], +): + # Given an event with invalid arguments for the embedding model. + event["payload"]["config"]["embedding"]["dimensions"] = DIMENSION_COUNT + + with ( + vcr_.use_cassette("test_invalid_function_arguments.yaml"), + pytest.raises(openai.BadRequestError), + ): + # When the lambda is invokded. + # Then it raises an exception. + lambda_handler(event, None) + + # And an entry in the errors table is stored. + with db_with_data["conn"].cursor(row_factory=dict_row) as cur: + cur.execute(sql.SQL("SELECT * FROM ai.vectorizer_errors")) + records = cur.fetchall() + recorded = records[0].pop("recorded") + assert datetime.now(timezone.utc) - recorded < timedelta(minutes=5) + assert records == [ + { + "id": 1, + "message": "embedding provider failed", + "details": { + "error_reason": "Error code: 400 - {'error': {'message': 'This model does not support specifying dimensions.', 'type': 'invalid_request_error', 'param': None, 'code': None}}", # noqa: E501 + "provider": "openai", + }, + }, + ] + + +@pytest.mark.parametrize( + ("items_fixtures", "batch_size", "chunking", "formatting"), + [(2, 2, "recursive_character_text_splitter", "chunk_value")], + indirect=["items_fixtures", "chunking", "formatting"], +) +def test_document_in_batch_exceeds_model_context_length( + db_with_data: dict[str, Any], + vcr_: Any, + embedding_table_config: dict[str, Any], + items_fixtures: list[ItemFixture], + request: pytest.FixtureRequest, + event: dict[str, Any], +): + # Given two documents that will be embedded in the same batch. + # + # And one of the documents exceeds the models token length. + with db_with_data["conn"].cursor() as cur: + long_document = "AGI" * 5000 + cur.execute( + sql.SQL("UPDATE {} SET content = %s WHERE {} = %s AND {} = %s").format( + sql.Identifier( + embedding_table_config["source_schema"], + embedding_table_config["source_table"], + ), + sql.Identifier(embedding_table_config["source_pk"][0]["attname"]), + sql.Identifier(embedding_table_config["source_pk"][1]["attname"]), + ), + (long_document, 2, 2), + ) + + # When the lambda is invoked. + with vcr_.use_cassette("test_document_in_batch_too_long.yaml"): + response = lambda_handler(event, None) + + # Then the lamda processes both documents. + expected_response = { + "statusCode": 200, + "processed_tasks": 2, + } + assert expected_response == response + + with db_with_data["conn"].cursor(row_factory=dict_row) as cur: + cur.execute( + sql.SQL("SELECT * FROM {}").format( + sql.Identifier( + embedding_table_config["target_schema"], + embedding_table_config["target_table"], + ), + ) + ) + records = cur.fetchall() + + id_att = embedding_table_config["source_pk"][0]["attname"] + id2_att = embedding_table_config["source_pk"][1]["attname"] + + # And only the first document, which is withing the model's token + # length is embedded. + assert len(records) == 1 + record = records[0] + expected_item = items_fixtures[0] + embedding = record.pop("embedding") + chunk_id = record.pop("chunk_id") + assert isinstance(chunk_id, UUID) + assert record == { + id_att: expected_item.pk_att_1, + id2_att: expected_item.pk_att_2, + "chunk": expected_item.content, + "chunk_seq": 1, + } + + assert ( + expected.embeddings[ + f"{id_from_fixtures(request)}-{expected_item.pk_att_1}-{expected_item.pk_att_2}" + ] + == embedding + ) + + # And there's an error for the chunk that exceeded the model's context + # length. + cur.execute(sql.SQL("SELECT * FROM ai.vectorizer_errors").format()) + records = cur.fetchall() + recorded = records[0].pop("recorded") + assert datetime.now(timezone.utc) - recorded < timedelta(minutes=5) + chunk = records[0]["details"].pop("chunk") + assert chunk == expected.chunks["exceeds_model_context_length"] + assert records == [ + { + "details": { + "chunk_id": 1, + "error_reason": "chunk exceeds the text-embedding-ada-002 model context length of 8192 tokens", # noqa + "pk": { + "id": 2, + "id2": 2, + }, + }, + "id": 1, + "message": "chunk exceeds model context length", + }, + ] + + +@pytest.mark.parametrize( + ("items_fixtures", "batch_size", "chunking", "formatting"), + [(2, 2, "recursive_character_text_splitter", "chunk_value")], + indirect=["items_fixtures", "chunking", "formatting"], +) +def test_invalid_api_key_error( + vcr_: Any, + db_with_data: dict[str, Any], + event: dict[str, Any], +): + # Given two documents that will be embedded in the same batch. + # And an event with an invalid API key. + event["update_embeddings"]["secrets"]["OPENAI_API_KEY"] = "invalid" + + # When the lambda is invoked. + # Then it returns an exception + with ( + vcr_.use_cassette("test_invalid_api_key_error.yaml"), + pytest.raises(openai.AuthenticationError), + ): + lambda_handler(event, None) + + # And there's an entry in the errors table for it. + with db_with_data["conn"].cursor(row_factory=dict_row) as cur: + cur.execute(sql.SQL("SELECT * FROM ai.vectorizer_errors")) + records = cur.fetchall() + recorded = records[0].pop("recorded") + assert datetime.now(timezone.utc) - recorded < timedelta(minutes=5) + assert records == [ + { + "id": 1, + "message": "embedding provider failed", + "details": { + "provider": "openai", + "error_reason": "Error code: 401 - {'error': {'message': 'Incorrect API key provided: invalid. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}", # noqa: E501 + }, + }, + ] + + +@pytest.mark.parametrize( + ("chunking", "formatting"), + [("recursive_character_text_splitter", "chunk_value")], + indirect=["chunking", "formatting"], +) +def test_no_api_key_error( + base_event: dict[str, Any], + embedding: dict[str, Any], +): + # Given two documents that will be embedded in the same batch. + # And an event without the required API key for the embeddings. + api_key_name = embedding["api_key_name"] + del base_event["update_embeddings"]["secrets"][api_key_name] + + # When the lambda is invoked. + # Then it returns an exception + with pytest.raises(ValueError, match=f"missing API key: {api_key_name}"): + lambda_handler(base_event, None) diff --git a/projects/pgai/tests/vectorizer/test_vectorizer.py b/projects/pgai/tests/vectorizer/test_vectorizer.py new file mode 100644 index 000000000..98c0870b7 --- /dev/null +++ b/projects/pgai/tests/vectorizer/test_vectorizer.py @@ -0,0 +1,123 @@ +import os + +import psycopg +import pytest +from psycopg.rows import namedtuple_row +from psycopg.sql import SQL, Identifier + +from pgai import cli + +# skip tests in this module if disabled +enable_vectorizer_tool_tests = os.getenv("ENABLE_VECTORIZER_TOOL_TESTS") +if not enable_vectorizer_tool_tests or enable_vectorizer_tool_tests == "0": + pytest.skip(allow_module_level=True) + + +def db_url(user: str, dbname: str) -> str: + return f"postgres://{user}@127.0.0.1:5432/{dbname}" + + +def create_database(dbname: str) -> None: + with ( + psycopg.connect( + db_url(user="postgres", dbname="postgres"), autocommit=True + ) as con, + con.cursor() as cur, + ): + cur.execute( + SQL("drop database if exists {dbname} with (force)").format( + dbname=Identifier(dbname) + ) + ) + cur.execute(SQL("create database {dbname}").format(dbname=Identifier(dbname))) + + +def test_vectorizer_internal(): + db = "vcli0" + create_database(db) + _db_url = db_url("postgres", db) + with ( + psycopg.connect(_db_url, autocommit=True, row_factory=namedtuple_row) as con, + con.cursor() as cur, + ): + cur.execute("create extension if not exists vectorscale cascade") + pgai_version = cli.get_pgai_version(cur) + assert pgai_version is None + cur.execute("create extension if not exists ai cascade") + pgai_version = cli.get_pgai_version(cur) + assert pgai_version is not None + assert len(cli.get_vectorizer_ids(cur)) == 0 + assert len(cli.get_vectorizer_ids(cur, [42, 19])) == 0 + cur.execute("create extension if not exists timescaledb") + cur.execute("drop table if exists note0") + cur.execute(""" + create table note0 + ( id bigint not null primary key generated always as identity + , note text not null + ) + """) + # insert 5 rows into source + cur.execute(""" + insert into note0 (note) + select 'how much wood would a woodchuck chuck if a woodchuck could chuck wood' + from generate_series(1, 5) + """) # noqa + # insert 5 rows into source + cur.execute(""" + insert into note0 (note) + select 'if a woodchuck could chuck wood, a woodchuck would chuck as much wood as he could' + from generate_series(1, 5) + """) # noqa + # create a vectorizer for the table + cur.execute(""" + select ai.create_vectorizer + ( 'note0'::regclass + , embedding=>ai.embedding_openai('text-embedding-3-small', 3) + , chunking=>ai.chunking_character_text_splitter('note') + , scheduling=> + ai.scheduling_timescaledb + ( interval '5m' + , initial_start=>'2050-01-06'::timestamptz + , timezone=>'America/Chicago' + ) + , indexing=>ai.indexing_diskann(min_rows=>10) + , grant_to=>null + , enqueue_existing=>true + ) + """) + row = cur.fetchone() + if row is None: + raise ValueError("vectorizer_id is None") + vectorizer_id = row[0] + if not isinstance(vectorizer_id, int): + raise ValueError("vectorizer_id is not an integer") + + cur.execute("select * from ai.vectorizer where id = %s", (vectorizer_id,)) + vectorizer_expected = cur.fetchone() + + # test cli.get_vectorizer_ids + assert len(cli.get_vectorizer_ids(cur)) == 1 + assert len(cli.get_vectorizer_ids(cur, [42, 19])) == 0 + assert len(cli.get_vectorizer_ids(cur, [vectorizer_id, 19])) == 1 + assert len(cli.get_vectorizer_ids(cur, [vectorizer_id])) == 1 + + # test cli.get_vectorizer + vectorizer_actual = cli.get_vectorizer(_db_url, vectorizer_id) + assert vectorizer_actual is not None + assert vectorizer_expected.source_table == vectorizer_actual.source_table # type: ignore + + # run the vectorizer + cli.run_vectorizer(_db_url, vectorizer_actual, 1) + + cur.execute("select ai.vectorizer_queue_pending(%s)", (vectorizer_id,)) + actual = cur.fetchone()[0] # type: ignore + assert actual == 0 + + cur.execute( + SQL("select count(*) from {target_schema}.{target_table}").format( + target_schema=Identifier(vectorizer_expected.target_schema), # type: ignore + target_table=Identifier(vectorizer_expected.target_table), # type: ignore + ) + ) + actual = cur.fetchone()[0] # type: ignore + assert actual == 10 diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 000000000..2f0f3e493 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,103 @@ +[project] +version = "0.6.0" +name = "pgai" + +[tool.pyright] +# this enables practically every flag given by pyright. +# there are a couple of flags that are still disabled by +# default in strict mode as they are experimental and niche. +typeCheckingMode = "strict" + +exclude = [ + "./build.py", + "projects/extension/", + "**/.bzr", + "**/.direnv", + "**/.eggs", + "**/.git", + "**/.git-rewrite", + "**/.hg", + "**/.ipynb_checkpoints", + "**/.mypy_cache", + "**/.nox", + "**/.pants.d", + "**/.pyenv", + "**/.pytest_cache", + "**/.pytype", + "**/.ruff_cache", + "**/.svn", + "**/.tox", + "**/.venv", + "**/.vscode", + "**/__pypackages__", + "**/_build", + "**/buck-out", + "**/build", + "**/dist", + "**/node_modules", + "**/site-packages", + "**/venv", +] + +[tool.ruff] +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".git-rewrite", + ".hg", + ".ipynb_checkpoints", + ".mypy_cache", + ".nox", + ".pants.d", + ".pyenv", + ".pytest_cache", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + ".vscode", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "site-packages", + "venv", +] + +# Same as Black. +line-length = 88 +indent-width = 4 + +# Assume Python 3.11 +target-version = "py311" + +[tool.ruff.format] +# Like Black, use double quotes for strings. +quote-style = "double" + +# Like Black, indent with spaces, rather than tabs. +indent-style = "space" + +# Like Black, respect magic trailing commas. +skip-magic-trailing-comma = false + +# Like Black, automatically detect the appropriate line ending. +line-ending = "auto" + +[tool.ruff.lint] +# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default. +select = ["E4", "E7", "E9", "F"] +ignore = [] + +# Allow fix for all enabled rules (when `--fix`) is provided. +fixable = ["ALL"] +unfixable = [] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" diff --git a/requirements-dev.txt b/requirements-dev.txt new file mode 100644 index 000000000..5f8622bdf --- /dev/null +++ b/requirements-dev.txt @@ -0,0 +1,7 @@ +# this requirements file is optional +# if you are editing python on your host machine (as opposed to inside the docker container) +# you may use this on your host to aid your IDE's code completion etc. capabilities + +-r requirements-test.txt +-r projects/extension/requirements.txt +-r projects/pgai/requirements.txt diff --git a/requirements-test.txt b/requirements-test.txt new file mode 100644 index 000000000..ec5a4743a --- /dev/null +++ b/requirements-test.txt @@ -0,0 +1,12 @@ +# this requirements file is used in the development docker image for running tests, linting, etc. +# it is also referred to from requirements-dev.txt for use on host development machines + +ruff==0.6.9 +pytest==8.3.2 +python-dotenv==1.0.1 +fastapi==0.112.0 +fastapi-cli==0.0.5 +vcrpy==6.0.1 +pyright==1.1.384 +psycopg[binary]==3.2.1 +testcontainers==4.8.1 diff --git a/test.sh b/test.sh deleted file mode 100755 index f46f62040..000000000 --- a/test.sh +++ /dev/null @@ -1,19 +0,0 @@ -#!/usr/bin/env bash -set -e - -# if a .env file exists, load and export the variables in it -if [ -f .env ]; then - set -a - source .env - set +a -fi - -if [ -n "$WHERE_AM_I" ] && [ "$WHERE_AM_I" == "docker" ]; then - if [ "$(whoami)" == "root" ]; then - echo switching to postgres user... - su postgres - - fi - psql -d postgres -f test.sql -else - psql --no-psqlrc -d 'postgres://postgres@127.0.0.1:9876/postgres' -f test.sql -fi diff --git a/test.sql b/test.sql deleted file mode 100644 index df89b28f8..000000000 --- a/test.sql +++ /dev/null @@ -1,226 +0,0 @@ -------------------------------------------------------------------------------- --- pgai tests -\set VERBOSITY verbose -\set SHOW_CONTEXT errors -\x auto -\set ON_ERROR_ROLLBACK off -\set ON_ERROR_STOP on - -------------------------------------------------------------------------------- --- drop (if exists), recreate, and connect to the "test" database -select current_database() != 'postgres' as switch_db -\gset -\if :switch_db -\c postgres -\endif - -select count(*) > 0 as drop_test_db -from pg_catalog.pg_database -where datname = 'test' -\gset - -\if :drop_test_db -drop database test; -\endif - -create database test; -\c test - -create extension if not exists ai cascade; - -------------------------------------------------------------------------------- --- use an unprivileged user "tester" -reset role; -- just in case - -select count(1) filter (where rolname = 'tester') = 0 as create_tester -from pg_roles -\gset - -\if :create_tester -create user tester; - -\endif - -select not has_schema_privilege('tester', 'public', 'create') as grant_public -\gset - -\if :grant_public -grant create on schema public to tester; -\endif - -select not pg_has_role(current_user, 'tester', 'member') as grant_tester -\gset - -\if :grant_tester -select format('grant tester to %I', current_user) -\gexec -\endif - -select not has_function_privilege('tester', 'pg_read_binary_file(text)', 'execute') as grant_pg_read_server_files -\gset - -\if :grant_pg_read_server_files -grant execute on function pg_read_binary_file(text) to tester; -\endif - -select not pg_has_role('tester', 'pg_read_server_files', 'member') as grant_tester -\gset - -\if :grant_tester -grant pg_read_server_files to tester; -\endif - -set role tester; - -------------------------------------------------------------------------------- --- test table -drop table if exists tests; -create table tests -( test text not null primary key -, expected text -, actual text -, passed boolean generated always as (actual = expected) stored -); - -------------------------------------------------------------------------------- --- convenience function for recording test results -create function result(_test text, _expected text, _actual text) returns bool -as $func$ -merge into tests as t -using (select _test as test, _expected as expected, _actual as actual) x -on (t.test = x.test) -when matched then update set expected = x.expected, actual = x.actual -when not matched then insert (test, actual) values (x.test, x.actual) -; -select passed from tests where test = _test; -$func$ language sql; - -\pset tuples_only on -------------------------------------------------------------------------------- --- openai tests -\getenv enable_openai_tests ENABLE_OPENAI_TESTS -\if :{?enable_openai_tests} -\else -\set enable_openai_tests 0 -\endif -\if :enable_openai_tests -\set ON_ERROR_ROLLBACK on -\set ON_ERROR_STOP off -\i tests/openai.sql -\set ON_ERROR_ROLLBACK off -\set ON_ERROR_STOP on -\else -\echo Skipped OpenAI tests -\endif - -------------------------------------------------------------------------------- --- ollama tests -\getenv enable_ollama_tests ENABLE_OLLAMA_TESTS -\if :{?enable_ollama_tests} -\else -\set enable_ollama_tests 0 -\endif -\if :enable_ollama_tests -\set ON_ERROR_ROLLBACK on -\set ON_ERROR_STOP off -\i tests/ollama.sql -\set ON_ERROR_ROLLBACK off -\set ON_ERROR_STOP on -\else -\echo Skipped Ollama tests -\endif - -------------------------------------------------------------------------------- --- anthropic tests -\getenv enable_anthropic_tests ENABLE_ANTHROPIC_TESTS -\if :{?enable_anthropic_tests} -\else -\set enable_anthropic_tests 0 -\endif -\if :enable_anthropic_tests -\set ON_ERROR_ROLLBACK on -\set ON_ERROR_STOP off -\i tests/anthropic.sql -\set ON_ERROR_ROLLBACK off -\set ON_ERROR_STOP on -\else -\echo Skipped Anthropic tests -\endif - -------------------------------------------------------------------------------- --- cohere tests -\getenv enable_cohere_tests ENABLE_COHERE_TESTS -\if :{?enable_cohere_tests} -\else -\set enable_cohere_tests 0 -\endif -\if :enable_cohere_tests -\set ON_ERROR_ROLLBACK on -\set ON_ERROR_STOP off -\i tests/cohere.sql -\set ON_ERROR_ROLLBACK off -\set ON_ERROR_STOP on -\else -\echo Skipped Cohere tests -\endif - -\pset tuples_only off -------------------------------------------------------------------------------- --- test results -\echo -\echo -\echo -\echo -\echo - -\set ON_ERROR_STOP on -\set ON_ERROR_ROLLBACK off - --- we should fail if no tests were run -select count(*) > 0 as result -from tests -\gset - -\if :result - - \echo test results - select test, passed - from tests - ; - - \echo failed tests - select * - from tests - where passed is distinct from true - ; - - \echo test stats - select - count(*) as total - , count(*) filter (where passed = true) as passed - , count(*) filter (where passed is distinct from true) as failed - from tests - ; - - select count(*) filter (where passed is distinct from true) = 0 as result - from tests - \gset - -\else -\warn NO TESTS WERE RUN! -\endif - - -reset role; -- no longer tester - -\if :result -\echo PASSED! -\else -\warn FAILED! -do $$ -begin -raise exception 'FAILED!'; -end; -$$; -\endif -\q diff --git a/tests/anthropic.sql b/tests/anthropic.sql deleted file mode 100644 index d61acd99e..000000000 --- a/tests/anthropic.sql +++ /dev/null @@ -1,76 +0,0 @@ -------------------------------------------------------------------------------- --- get our anthropic api key - -\getenv anthropic_api_key ANTHROPIC_API_KEY -\if :{?anthropic_api_key} -\else -\warn Anthropic tests are enabled but ANTHROPIC_API_KEY is not set! -do $$ -begin -raise exception 'Anthropic tests are enabled but ANTHROPIC_API_KEY is not set!'; -end; -$$; -\q -\endif - --- set our session local GUC -select set_config('ai.anthropic_api_key', $1, false) is not null as set_anthropic_api_key -\bind :anthropic_api_key -\g - -------------------------------------------------------------------------------- --- register our tests -insert into tests (test) -values - ('anthropic_generate') -, ('anthropic_generate-no-key') --- add entries for new tests here! -; - -------------------------------------------------------------------------------- --- anthropic_generate -\set testname anthropic_generate -\set expected t -\echo :testname -select anthropic_generate -( 'claude-3-5-sonnet-20240620' -, jsonb_build_array - ( jsonb_build_object - ( 'role', 'user' - , 'content', 'Name five famous people from Birmingham, Alabama.' - ) - ) -, _api_key=>$1 -) as actual -\bind :anthropic_api_key -\gset - -\if :{?actual} -select jsonb_extract_path_text(:'actual'::jsonb, 'content', '0', 'text') is not null and (:'actual'::jsonb)->>'stop_reason' = 'end_turn' as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- anthropic_generate-no-key -\set testname anthropic_generate-no-key -\set expected t -\echo :testname -select anthropic_generate -( 'claude-3-5-sonnet-20240620' -, jsonb_build_array - ( jsonb_build_object - ( 'role', 'user' - , 'content', 'Name five famous people from Birmingham, Alabama.' - ) - ) -) as actual -\gset - -\if :{?actual} -select jsonb_extract_path_text(:'actual'::jsonb, 'content', '0', 'text') is not null and (:'actual'::jsonb)->>'stop_reason' = 'end_turn' as actual -\gset -\endif - -\ir eval.sql diff --git a/tests/cohere.sql b/tests/cohere.sql deleted file mode 100644 index fcba6db2d..000000000 --- a/tests/cohere.sql +++ /dev/null @@ -1,316 +0,0 @@ -------------------------------------------------------------------------------- --- get our cohere api key -\getenv cohere_api_key COHERE_API_KEY -\if :{?cohere_api_key} -\else -\warn Cohere tests are enabled but COHERE_API_KEY is not set! -do $$ -begin -raise exception 'Cohere tests are enabled but COHERE_API_KEY is not set!'; -end; -$$; -\q -\endif - --- set our session local GUC -select set_config('ai.cohere_api_key', $1, false) is not null as set_cohere_api_key -\bind :cohere_api_key -\g - -------------------------------------------------------------------------------- --- register our tests -insert into tests (test) -values - ('cohere_list_models') -, ('cohere_list_models-no-key') -, ('cohere_list_models-endpoint') -, ('cohere_list_models-default-only') -, ('cohere_tokenize') -, ('cohere_tokenize-no-key') -, ('cohere_detokenize') -, ('cohere_detokenize-no-key') -, ('cohere_embed') -, ('cohere_embed-no-key') -, ('cohere_classify') -, ('cohere_classify_simple') -, ('cohere_rerank') -, ('cohere_rerank_simple') -, ('cohere_chat_complete') --- add entries for new tests here! -; - -------------------------------------------------------------------------------- --- cohere_list_models -\set testname cohere_list_models -\set expected t -\echo :testname - -select count(*) > 0 as actual -from cohere_list_models(_api_key=>$1) -\bind :cohere_api_key -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_list_models-no-key -\set testname cohere_list_models-no-key -\set expected t -\echo :testname - -select count(*) > 0 as actual -from cohere_list_models() -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_list_models-endpoint -\set testname cohere_list_models-endpoint -\set expected t -\echo :testname - -select count(*) > 0 as actual -from cohere_list_models(_endpoint=>'embed') -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_tokenize -\set testname cohere_tokenize -\set expected 17 -\echo :testname - -select array_length -( - cohere_tokenize - ( 'command' - , 'What one programmer can do in one month, two programmers can do in two months.' - , _api_key=>$1 - ) -, 1 -) as actual -\bind :cohere_api_key -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_tokenize-no-key -\set testname cohere_tokenize-no-key -\set expected {5256,1707,1682,2383,9461,4696,1739,1863,1871,1740,9397,2112,1705,4066,3465,1742,38700,21} -\echo :testname - -select cohere_tokenize -( 'command' -, 'One of the best programming skills you can have is knowing when to walk away for awhile.' -) as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_detokenize -\set testname cohere_detokenize -select 'What one programmer can do in one month, two programmers can do in two months.' as expected \gset -\echo :testname - -select cohere_detokenize -( 'command' -, array[5171,2011,36613,1863,1978,1703,2011,2812,19,2253,38374,1863,1978,1703,2253,3784,21] -, _api_key=>$1 -) as actual -\bind :cohere_api_key -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_detokenize-no-key -\set testname cohere_detokenize-no-key -select $$Good programmers don't just write programs. They build a working vocabulary.$$ as expected \gset -\echo :testname - -select cohere_detokenize -( 'command' -, array[14485,38374,2630,2060,2252,5164,4905,21,2744,2628,1675,3094,23407,21] -) as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_list_models-default-only -\set testname cohere_list_models-default-only -\set expected t -\echo :testname - -select count(*) > 0 as actual -from cohere_list_models(_endpoint=>'generate', _default_only=>true) -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_embed -\set testname cohere_embed -\set expected 384 -\echo :testname - -select vector_dims -( - cohere_embed - ( 'embed-english-light-v3.0' - , 'how much wood would a woodchuck chuck if a woodchuck could chuck wood?' - , _api_key=>$1 - , _input_type=>'search_document' - ) -) as actual -\bind :cohere_api_key -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_embed-no-key -\set testname cohere_embed-no-key -\set expected 384 -\echo :testname - -select vector_dims -( - cohere_embed - ( 'embed-english-light-v3.0' - , 'if a woodchuck could chuck wood, a woodchuck would chuck as much wood as he could' - , _input_type=>'search_document' - , _truncate=>'end' - ) -) as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_classify -\set testname cohere_classify -select '{"bird": "animal", "corn": "food", "airplane": "machine"}'::jsonb::text as expected \gset -\echo :testname - -with examples(example, label) as -( - values - ('cat', 'animal') - , ('dog', 'animal') - , ('car', 'machine') - , ('truck', 'machine') - , ('apple', 'food') - , ('broccoli', 'food') -) -select jsonb_object_agg(x.input, x.prediction) as actual -from jsonb_to_recordset -(( - select cohere_classify - ( 'embed-english-light-v3.0' - , array['bird', 'airplane', 'corn'] - , _examples=>(select jsonb_agg(jsonb_build_object('text', examples.example, 'label', examples.label)) from examples) - )->'classifications' -)) x(input text, prediction text) -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_classify_simple -\set testname cohere_classify_simple -select '{"bird": "animal", "corn": "food", "airplane": "machine"}'::jsonb::text as expected \gset -\echo :testname - -with examples(example, label) as -( - values - ('cat', 'animal') - , ('dog', 'animal') - , ('car', 'machine') - , ('truck', 'machine') - , ('apple', 'food') - , ('broccoli', 'food') -) -select jsonb_object_agg(x.input, x.prediction) as actual -from cohere_classify_simple -( 'embed-english-light-v3.0' -, array['bird', 'airplane', 'corn'] -, _examples=>(select jsonb_agg(jsonb_build_object('text', examples.example, 'label', examples.label)) from examples) -) x -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_rerank -\set testname cohere_rerank -\set expected 2 -\echo :testname - -select cohere_rerank -( 'rerank-english-v3.0' -, 'How long does it take for two programmers to work on something?' -, jsonb_build_array - ( $$Good programmers don't just write programs. They build a working vocabulary.$$ - , 'One of the best programming skills you can have is knowing when to walk away for awhile.' - , 'What one programmer can do in one month, two programmers can do in two months.' - , 'how much wood would a woodchuck chuck if a woodchuck could chuck wood?' - ) -, _return_documents=>true -) as actual -\gset - -\if :{?actual} -select x."index" as actual -from jsonb_to_recordset((:'actual'::jsonb)->'results') x("index" int, "document" jsonb, relevance_score float8) -order by relevance_score desc -limit 1 -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_rerank_simple -\set testname cohere_rerank_simple -\set expected 3 -\echo :testname - -select x."index" as actual -from cohere_rerank_simple -( 'rerank-english-v3.0' -, 'How long does it take for two programmers to work on something?' -, jsonb_build_array - ( $$Good programmers don't just write programs. They build a working vocabulary.$$ - , 'One of the best programming skills you can have is knowing when to walk away for awhile.' - , 'What one programmer can do in one month, two programmers can do in two months.' - , 'how much wood would a woodchuck chuck if a woodchuck could chuck wood?' - ) -) x -order by relevance_score asc -limit 1 -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- cohere_chat_complete -\set testname cohere_chat_complete -\set expected t -\echo :testname - -select cohere_chat_complete -( 'command-r-plus' -, 'How much wood would a woodchuck chuck if a woodchuck could chuck wood?' -, _seed=>42 -)->>'text' is not null as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- diff --git a/tests/eval.sql b/tests/eval.sql deleted file mode 100644 index 0fc53429d..000000000 --- a/tests/eval.sql +++ /dev/null @@ -1,6 +0,0 @@ -\if :{?actual} -select result(:'testname', :'expected', :'actual'); -\else -select result(:'testname', :'expected', null); -\endif -\unset actual diff --git a/tests/ollama.sql b/tests/ollama.sql deleted file mode 100644 index 33a67bd5b..000000000 --- a/tests/ollama.sql +++ /dev/null @@ -1,282 +0,0 @@ -------------------------------------------------------------------------------- --- get our ollama host --- grab our ollama host from the environment as a psql variable -\getenv ollama_host OLLAMA_HOST -\if :{?ollama_host} -\else -\warn Ollama tests are enabled but OLLAMA_HOST is not set! -do $$ -begin -raise exception 'Ollama tests are enabled but OLLAMA_HOST is not set!'; -end; -$$; -\q -\endif - --- set our session local GUC -select set_config('ai.ollama_host', $1, false) is not null as set_ollama_host -\bind :ollama_host -\g - -------------------------------------------------------------------------------- --- register our tests -insert into tests (test) -values - ('ollama_list_models') -, ('ollama_list_models-no-host') -, ('ollama_embed') -, ('ollama_embed-no-host') -, ('ollama_generate') -, ('ollama_generate-no-host') -, ('ollama_generate-image') -, ('ollama_chat_complete') -, ('ollama_chat_complete-no-host') -, ('ollama_chat_complete-image') -, ('ollama_ps') -, ('ollama_ps-no-host') --- add entries for new tests here! -; - -------------------------------------------------------------------------------- --- ollama_list_models -\set testname ollama_list_models -\set expected t -\echo :testname - -select count(*) > 0 as actual -from ollama_list_models(_host=>$1) -\bind :ollama_host -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_list_models-no-host -\set testname ollama_list_models-no-host -\set expected t -\echo :testname - -select count(*) > 0 as actual -from ollama_list_models() -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_embed -\set testname ollama_embed -\set expected 4096 -\echo :testname - -select vector_dims -( - ollama_embed - ( 'llama3' - , 'the purple elephant sits on a red mushroom' - , _host=>$1 - ) -) as actual -\bind :ollama_host -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_embed-no-host -\set testname ollama_embed-no-host -\set expected 4096 -\echo :testname - -select vector_dims -( - ollama_embed - ( 'llama3' - , 'the purple elephant sits on a red mushroom' - ) -) as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_generate -\set testname ollama_generate -\set expected t -\echo :testname - -select ollama_generate -( 'llama3' -, 'what is the typical weather like in Alabama in June' -, _system=>'you are a helpful assistant' -, _host=>$1 -, _options=> jsonb_build_object - ( 'seed', 42 - , 'temperature', 0.6 - ) -) as actual -\bind :ollama_host -\gset - -\if :{?actual} -select (:'actual'::jsonb)->>'response' is not null and ((:'actual'::jsonb)->>'done')::boolean as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_generate-no-host -\set testname ollama_generate-no-host -\set expected t -\echo :testname - -select ollama_generate -( 'llama3' -, 'what is the typical weather like in Alabama in June' -, _system=>'you are a helpful assistant' -, _options=> jsonb_build_object - ( 'seed', 42 - , 'temperature', 0.6 - ) -) as actual -\gset - -\if :{?actual} -select (:'actual'::jsonb)->>'response' is not null and ((:'actual'::jsonb)->>'done')::boolean as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_generate-image -\set testname ollama_generate-image -select 'an elephant with boxing gloves on, ready for a fight' as expected \gset -\echo :testname - -select ollama_generate -( 'llava:7b' -, 'Please describe this image.' -, _images=> array[pg_read_binary_file('/pgai/tests/postgresql-vs-pinecone.jpg')] -, _system=>'you are a helpful assistant' -, _options=> jsonb_build_object - ( 'seed', 42 - , 'temperature', 0.9 - ) -)->>'response' as actual -\gset - -\if :{?actual} -select substring(:'actual' from 152 for 52) as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_chat_complete -\set testname ollama_chat_complete -\set expected t -\echo :testname - -select ollama_chat_complete -( 'llama3' -, jsonb_build_array - ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') - , jsonb_build_object('role', 'user', 'content', 'what is the typical weather like in Alabama in June') - ) -, _host=>$1 -, _options=> jsonb_build_object - ( 'seed', 42 - , 'temperature', 0.6 - ) -) as actual -\bind :ollama_host -\gset - -\if :{?actual} -select (:'actual'::jsonb)->'message'->>'content' is not null and ((:'actual'::jsonb)->>'done')::boolean as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_chat_complete-no-host -\set testname ollama_chat_complete-no-host -\set expected t -\echo :testname - -select ollama_chat_complete -( 'llama3' -, jsonb_build_array - ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') - , jsonb_build_object('role', 'user', 'content', 'what is the typical weather like in Alabama in June') - ) -, _options=> jsonb_build_object - ( 'seed', 42 - , 'temperature', 0.6 - ) -) as actual -\gset - -\if :{?actual} -select (:'actual'::jsonb)->'message'->>'content' is not null and ((:'actual'::jsonb)->>'done')::boolean as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_chat_complete-image -\set testname ollama_chat_complete-image -\set expected t -\echo :testname - -select ollama_chat_complete -( 'llava:7b' -, jsonb_build_array - ( jsonb_build_object - ( 'role', 'user' - , 'content', 'describe this image' - , 'images', jsonb_build_array(encode(pg_read_binary_file('/pgai/tests/postgresql-vs-pinecone.jpg'), 'base64')) - ) - ) -, _options=> jsonb_build_object - ( 'seed', 42 - , 'temperature', 0.9 - ) -)->'message'->>'content' as actual -\gset - -\if :{?actual} -select starts_with(:'actual'::text, ' This is a digitally manipulated image') as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_ps -\set testname ollama_ps -\set expected 1 -\echo :testname - -select count(*) filter (where "name" = 'llava:7b') as actual -from ollama_ps(_host=>$1) -\bind :ollama_host -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- ollama_ps-no-host -\set testname ollama_ps-no-host -\set expected 1 -\echo :testname - -select count(*) filter (where "name" = 'llava:7b') as actual -from ollama_ps() -\gset - -\ir eval.sql diff --git a/tests/openai.sql b/tests/openai.sql deleted file mode 100644 index 48be64440..000000000 --- a/tests/openai.sql +++ /dev/null @@ -1,359 +0,0 @@ -------------------------------------------------------------------------------- --- get our openai api key --- grab our api key from the environment as a psql variable -\getenv openai_api_key OPENAI_API_KEY -\if :{?openai_api_key} -\else -\warn OpenAI tests are enabled but OPENAI_API_KEY is not set! -do $$ -begin -raise exception 'OpenAI tests are enabled but OPENAI_API_KEY is not set!'; -end; -$$; -\q -\endif - --- set our session local GUC -select set_config('ai.openai_api_key', $1, false) is not null as set_openai_api_key -\bind :openai_api_key -\g - -------------------------------------------------------------------------------- --- register our tests -insert into tests (test) -values - ('openai_list_models') -, ('openai_list_models-no-key') -, ('openai_tokenize') -, ('openai_detokenize') -, ('openai_embed-1') -, ('openai_embed-1-no-key') -, ('openai_embed-2') -, ('openai_embed-2-no-key') -, ('openai_embed-3') -, ('openai_embed-3-no-key') -, ('openai_embed-4') -, ('openai_embed-4-no-key') -, ('openai_embed-5') -, ('openai_embed-5-no-key') -, ('openai_chat_complete') -, ('openai_chat_complete-no-key') -, ('openai_moderate') -, ('openai_moderate-no-key') --- add entries for new tests here! -; - -------------------------------------------------------------------------------- --- openai_list_models -\set testname openai_list_models -\set expected t -\echo :testname - -select count(*) > 0 as actual -from openai_list_models(_api_key=>$1) -\bind :openai_api_key -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_list_models-no-key -\set testname openai_list_models-no-key -\set expected t -\echo :testname - -select count(*) > 0 as actual -from openai_list_models() -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_tokenize -\set testname openai_tokenize -select array[1820,25977,46840,23874,389,264,2579,58466]::text as expected \gset -\echo :testname - -select openai_tokenize('text-embedding-ada-002', 'the purple elephant sits on a red mushroom')::text as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_detokenize -\set testname openai_detokenize -select 'the purple elephant sits on a red mushroom' as expected \gset -\echo :testname - -select openai_detokenize('text-embedding-ada-002', array[1820,25977,46840,23874,389,264,2579,58466]) as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_embed-1 -\set testname openai_embed-1 -\set expected 1536 -\echo :testname - -select vector_dims -( - openai_embed - ( 'text-embedding-ada-002' - , 'the purple elephant sits on a red mushroom' - , _api_key=>$1 - ) -) as actual -\bind :openai_api_key -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_embed-1-no-key -\set testname openai_embed-1-no-key -\set expected 1536 -\echo :testname - -select vector_dims -( - openai_embed - ( 'text-embedding-ada-002' - , 'the purple elephant sits on a red mushroom' - ) -) as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_embed-2 -\set testname openai_embed-2 -\set expected 768 -\echo :testname - -select vector_dims -( - openai_embed - ( 'text-embedding-3-large' - , 'the purple elephant sits on a red mushroom' - , _api_key=>$1 - , _dimensions=>768 - ) -) as actual -\bind :openai_api_key -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_embed-2-no-key -\set testname openai_embed-2-no-key -\set expected 768 -\echo :testname - -select vector_dims -( - openai_embed - ( 'text-embedding-3-large' - , 'the purple elephant sits on a red mushroom' - , _dimensions=>768 - ) -) as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_embed-3 -\set testname openai_embed-3 -\set expected 3072 -\echo :testname - -select vector_dims -( - openai_embed - ( 'text-embedding-3-large' - , 'the purple elephant sits on a red mushroom' - , _api_key=>$1 - , _user=>'bob' - ) -) as actual -\bind :openai_api_key -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_embed-3-no-key -\set testname openai_embed-3-no-key -\set expected 3072 -\echo :testname - -select vector_dims -( - openai_embed - ( 'text-embedding-3-large' - , 'the purple elephant sits on a red mushroom' - , _user=>'bob' - ) -) as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_embed-4 -\set testname openai_embed-4 -\set expected 6144 -\echo :testname - -select sum(vector_dims(embedding)) as actual -from openai_embed -( 'text-embedding-3-large' -, array['the purple elephant sits on a red mushroom', 'timescale is postgres made powerful'] -, _api_key=>$1 -) -\bind :openai_api_key -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_embed-4-no-key -\set testname openai_embed-4-no-key -\set expected 6144 -\echo :testname - -select sum(vector_dims(embedding)) as actual -from openai_embed -( 'text-embedding-3-large' -, array['the purple elephant sits on a red mushroom', 'timescale is postgres made powerful'] -) -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_embed-5 -\set testname openai_embed-5 -\set expected 1536 -\echo :testname - -select vector_dims -( - openai_embed - ( 'text-embedding-ada-002' - , array[1820,25977,46840,23874,389,264,2579,58466] - , _api_key=>$1 - ) -) as actual -\bind :openai_api_key -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_embed-5-no-key -\set testname openai_embed-5-no-key -\set expected 1536 -\echo :testname - -select vector_dims -( - openai_embed - ( 'text-embedding-ada-002' - , array[1820,25977,46840,23874,389,264,2579,58466] - ) -) as actual -\gset - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_chat_complete -\set testname openai_chat_complete -\set expected t -\echo :testname - -select openai_chat_complete -( 'gpt-4o' -, jsonb_build_array - ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') - , jsonb_build_object('role', 'user', 'content', 'what is the typical weather like in Alabama in June') - ) -, _api_key=>$1 -) as actual -\bind :openai_api_key -\gset - -\if :{?actual} -select jsonb_extract_path_text(:'actual'::jsonb, 'choices', '0', 'message', 'content') is not null as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_chat_complete-no-key -\set testname openai_chat_complete-no-key -\set expected t -\echo :testname - -select openai_chat_complete -( 'gpt-4o' -, jsonb_build_array - ( jsonb_build_object('role', 'system', 'content', 'you are a helpful assistant') - , jsonb_build_object('role', 'user', 'content', 'what is the typical weather like in Alabama in June') - ) -) as actual -\gset - -\if :{?actual} -select jsonb_extract_path_text(:'actual'::jsonb, 'choices', '0', 'message', 'content') is not null as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_moderate -\set testname openai_moderate -\set expected t -\echo :testname - -select openai_moderate -( 'text-moderation-stable' -, 'I want to kill them.' -, _api_key=>$1 -) as actual -\bind :openai_api_key -\gset - -\if :{?actual} -select jsonb_extract_path_text(:'actual'::jsonb, 'results', '0', 'flagged')::bool as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- --- openai_moderate-no-key -\set testname openai_moderate-no-key -\set expected t -\echo :testname - -select openai_moderate -( 'text-moderation-stable' -, 'I want to kill them.' -) as actual -\gset - -\if :{?actual} -select jsonb_extract_path_text(:'actual'::jsonb, 'results', '0', 'flagged')::bool as actual -\gset -\endif - -\ir eval.sql - -------------------------------------------------------------------------------- diff --git a/vm.sh b/vm.sh deleted file mode 100755 index d3f384782..000000000 --- a/vm.sh +++ /dev/null @@ -1,34 +0,0 @@ -#!/usr/bin/env bash -# creates a virtual machine using multipass for development use -set -eux -multipass launch --name pgai lts -multipass stop pgai -multipass mount -t native . pgai:/pgai -multipass start pgai -multipass exec pgai -- /bin/bash <