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Add benchmarks (#148)
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Add asv based benchmarks to guide future optimisation work.
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adriangb authored Sep 19, 2020
1 parent 0028cc3 commit a3f5f21
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1 change: 1 addition & 0 deletions .gitignore
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.DS_Store
.tox
.venv
.asv
157 changes: 157 additions & 0 deletions asv.conf.json
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{
// The version of the config file format. Do not change, unless
// you know what you are doing.
"version": 1,

// The name of the project being benchmarked
"project": "python-betterproto",

// The project's homepage
"project_url": "https://github.com/danielgtaylor/python-betterproto",

// The URL or local path of the source code repository for the
// project being benchmarked
"repo": ".",

// The Python project's subdirectory in your repo. If missing or
// the empty string, the project is assumed to be located at the root
// of the repository.
// "repo_subdir": "",

// Customizable commands for building, installing, and
// uninstalling the project. See asv.conf.json documentation.
//
"install_command": ["python -m pip install ."],
"uninstall_command": ["return-code=any python -m pip uninstall -y {project}"],
"build_command": ["python -m pip wheel -w {build_cache_dir} {build_dir}"],

// List of branches to benchmark. If not provided, defaults to "master"
// (for git) or "default" (for mercurial).
// "branches": ["master"], // for git
// "branches": ["default"], // for mercurial

// The DVCS being used. If not set, it will be automatically
// determined from "repo" by looking at the protocol in the URL
// (if remote), or by looking for special directories, such as
// ".git" (if local).
// "dvcs": "git",

// The tool to use to create environments. May be "conda",
// "virtualenv" or other value depending on the plugins in use.
// If missing or the empty string, the tool will be automatically
// determined by looking for tools on the PATH environment
// variable.
"environment_type": "virtualenv",

// timeout in seconds for installing any dependencies in environment
// defaults to 10 min
//"install_timeout": 600,

// the base URL to show a commit for the project.
// "show_commit_url": "http://github.com/owner/project/commit/",

// The Pythons you'd like to test against. If not provided, defaults
// to the current version of Python used to run `asv`.
// "pythons": ["2.7", "3.6"],

// The list of conda channel names to be searched for benchmark
// dependency packages in the specified order
// "conda_channels": ["conda-forge", "defaults"],

// The matrix of dependencies to test. Each key is the name of a
// package (in PyPI) and the values are version numbers. An empty
// list or empty string indicates to just test against the default
// (latest) version. null indicates that the package is to not be
// installed. If the package to be tested is only available from
// PyPi, and the 'environment_type' is conda, then you can preface
// the package name by 'pip+', and the package will be installed via
// pip (with all the conda available packages installed first,
// followed by the pip installed packages).
//
// "matrix": {
// "numpy": ["1.6", "1.7"],
// "six": ["", null], // test with and without six installed
// "pip+emcee": [""], // emcee is only available for install with pip.
// },

// Combinations of libraries/python versions can be excluded/included
// from the set to test. Each entry is a dictionary containing additional
// key-value pairs to include/exclude.
//
// An exclude entry excludes entries where all values match. The
// values are regexps that should match the whole string.
//
// An include entry adds an environment. Only the packages listed
// are installed. The 'python' key is required. The exclude rules
// do not apply to includes.
//
// In addition to package names, the following keys are available:
//
// - python
// Python version, as in the *pythons* variable above.
// - environment_type
// Environment type, as above.
// - sys_platform
// Platform, as in sys.platform. Possible values for the common
// cases: 'linux2', 'win32', 'cygwin', 'darwin'.
//
// "exclude": [
// {"python": "3.2", "sys_platform": "win32"}, // skip py3.2 on windows
// {"environment_type": "conda", "six": null}, // don't run without six on conda
// ],
//
// "include": [
// // additional env for python2.7
// {"python": "2.7", "numpy": "1.8"},
// // additional env if run on windows+conda
// {"platform": "win32", "environment_type": "conda", "python": "2.7", "libpython": ""},
// ],

// The directory (relative to the current directory) that benchmarks are
// stored in. If not provided, defaults to "benchmarks"
// "benchmark_dir": "benchmarks",

// The directory (relative to the current directory) to cache the Python
// environments in. If not provided, defaults to "env"
"env_dir": ".asv/env",

// The directory (relative to the current directory) that raw benchmark
// results are stored in. If not provided, defaults to "results".
"results_dir": ".asv/results",

// The directory (relative to the current directory) that the html tree
// should be written to. If not provided, defaults to "html".
"html_dir": ".asv/html",

// The number of characters to retain in the commit hashes.
// "hash_length": 8,

// `asv` will cache results of the recent builds in each
// environment, making them faster to install next time. This is
// the number of builds to keep, per environment.
// "build_cache_size": 2,

// The commits after which the regression search in `asv publish`
// should start looking for regressions. Dictionary whose keys are
// regexps matching to benchmark names, and values corresponding to
// the commit (exclusive) after which to start looking for
// regressions. The default is to start from the first commit
// with results. If the commit is `null`, regression detection is
// skipped for the matching benchmark.
//
// "regressions_first_commits": {
// "some_benchmark": "352cdf", // Consider regressions only after this commit
// "another_benchmark": null, // Skip regression detection altogether
// },

// The thresholds for relative change in results, after which `asv
// publish` starts reporting regressions. Dictionary of the same
// form as in ``regressions_first_commits``, with values
// indicating the thresholds. If multiple entries match, the
// maximum is taken. If no entry matches, the default is 5%.
//
// "regressions_thresholds": {
// "some_benchmark": 0.01, // Threshold of 1%
// "another_benchmark": 0.5, // Threshold of 50%
// },
}
1 change: 1 addition & 0 deletions benchmarks/__init__.py
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63 changes: 63 additions & 0 deletions benchmarks/benchmarks.py
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import betterproto
from dataclasses import dataclass


@dataclass
class TestMessage(betterproto.Message):
foo: int = betterproto.uint32_field(0)
bar: str = betterproto.string_field(1)
baz: float = betterproto.float_field(2)

class BenchMessage:
"""Test creation and usage a proto message.
"""

def setup(self):
self.cls = TestMessage
self.instance = TestMessage()
self.instance_filled = TestMessage(0, "test", 0.0)

def time_overhead(self):
"""Overhead in class definition.
"""
@dataclass
class Message(betterproto.Message):
foo: int = betterproto.uint32_field(0)
bar: str = betterproto.string_field(1)
baz: float = betterproto.float_field(2)

def time_instantiation(self):
"""Time instantiation
"""
self.cls()

def time_attribute_access(self):
"""Time to access an attribute
"""
self.instance.foo
self.instance.bar
self.instance.baz

def time_init_with_values(self):
"""Time to set an attribute
"""
self.cls(0, "test", 0.0)

def time_attribute_setting(self):
"""Time to set attributes
"""
self.instance.foo = 0
self.instance.bar = "test"
self.instance.baz = 0.0

def time_serialize(self):
"""Time serializing a message to wire."""
bytes(self.instance_filled)


class MemSuite:
def setup(self):
self.cls = TestMessage

def mem_instance(self):
return self.cls()
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