From d5c976289ae5aaf3a25944859628ad6ce3449f37 Mon Sep 17 00:00:00 2001 From: Alessandro Amici Date: Sun, 15 Oct 2023 18:52:43 +0200 Subject: [PATCH] Import cf2cdm from ecmwf/cfgrib --- LICENSE | 2 +- README.md | 4 +- cf2cdm/__init__.py | 11 +- cf2cdm/cfcoords.py | 198 +++++++++++++++++++++ cf2cdm/cfunits.py | 73 ++++++++ cf2cdm/datamodels.py | 42 +++++ tests/sample-data/era5-levels-members.grib | Bin 0 -> 2361600 bytes tests/sample-data/lambert_grid.grib | Bin 0 -> 56880 bytes tests/test_10_cfunits.py | 12 ++ tests/test_20_cfcoords.py | 156 ++++++++++++++++ tests/test_50_datamodels.py | 74 ++++++++ 11 files changed, 567 insertions(+), 5 deletions(-) create mode 100644 cf2cdm/cfcoords.py create mode 100644 cf2cdm/cfunits.py create mode 100644 cf2cdm/datamodels.py create mode 100644 tests/sample-data/era5-levels-members.grib create mode 100644 tests/sample-data/lambert_grid.grib create mode 100644 tests/test_10_cfunits.py create mode 100644 tests/test_20_cfcoords.py create mode 100644 tests/test_50_datamodels.py diff --git a/LICENSE b/LICENSE index 7295174..c70ff35 100644 --- a/LICENSE +++ b/LICENSE @@ -186,7 +186,7 @@ same "printed page" as the copyright notice for easier identification within third-party archives. - Copyright 2017, European Union. + Copyright YYYY, XXXX. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. diff --git a/README.md b/README.md index bde808f..36d3d14 100644 --- a/README.md +++ b/README.md @@ -31,7 +31,9 @@ Before pushing to GitHub, run the following commands: ## License ``` -Copyright 2017, European Union. +Copyright 2017-2021 European Centre for Medium-Range Weather Forecasts (ECMWF). +Copyright 2023 B-Open Solutions srl. + Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. diff --git a/cf2cdm/__init__.py b/cf2cdm/__init__.py index bc7fde9..e72c68e 100644 --- a/cf2cdm/__init__.py +++ b/cf2cdm/__init__.py @@ -1,12 +1,12 @@ """Translate xarray dataset to a custom data model.""" - -# Copyright 2017, European Union. +# +# Copyright 2017-2021 European Centre for Medium-Range Weather Forecasts (ECMWF). # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, @@ -23,3 +23,8 @@ __version__ = "999" __all__ = ["__version__"] + +from .cfcoords import translate_coords +from .datamodels import CDS, ECMWF + +__all__ = ["CDS", "ECMWF", "translate_coords"] diff --git a/cf2cdm/cfcoords.py b/cf2cdm/cfcoords.py new file mode 100644 index 0000000..9305a30 --- /dev/null +++ b/cf2cdm/cfcoords.py @@ -0,0 +1,198 @@ +# +# Copyright 2017-2021 European Centre for Medium-Range Weather Forecasts (ECMWF). +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Authors: +# Alessandro Amici - B-Open - https://bopen.eu +# + +import functools +import logging +import typing as T + +import xarray as xr + +from . import cfunits + +CoordModelType = T.Dict[str, T.Dict[str, str]] +CoordTranslatorType = T.Callable[[str, xr.Dataset, CoordModelType], xr.Dataset] + +COORD_MODEL: CoordModelType = {} +COORD_TRANSLATORS: T.Dict[str, CoordTranslatorType] = {} +LOG = logging.getLogger(__name__) + + +def match_values(match_value_func, mapping): + # type: (T.Callable[[T.Any], bool], T.Mapping[T.Hashable, T.Any]) -> T.List[str] + matched_names = [] + for name, value in mapping.items(): + if match_value_func(value): + matched_names.append(str(name)) + return matched_names + + +def translate_coord_direction(data, coord_name, stored_direction="increasing"): + # type: (xr.Dataset, str, str) -> xr.Dataset + if stored_direction not in ("increasing", "decreasing"): + raise ValueError("unknown stored_direction %r" % stored_direction) + if len(data.coords[coord_name].shape) == 0: + return data + values = data.coords[coord_name].values + if values[0] < values[-1] and stored_direction == "decreasing": + data = data.isel({coord_name: slice(None, None, -1)}) + elif values[0] > values[-1] and stored_direction == "increasing": + data = data.isel({coord_name: slice(None, None, -1)}) + return data + + +def coord_translator( + default_out_name: str, + default_units: str, + default_direction: str, + is_cf_type: T.Callable[[xr.IndexVariable], bool], + cf_type: str, + data: xr.Dataset, + coord_model: CoordModelType = COORD_MODEL, +) -> xr.Dataset: + out_name = coord_model.get(cf_type, {}).get("out_name", default_out_name) + units = coord_model.get(cf_type, {}).get("units", default_units) + stored_direction = coord_model.get(cf_type, {}).get("stored_direction", default_direction) + matches = match_values(is_cf_type, data.coords) + if len(matches) > 1: + raise ValueError("found more than one CF coordinate with type %r." % cf_type) + if not matches: + return data + match = matches[0] + for name in data.coords: + if name == out_name and name != match: + raise ValueError("found non CF compliant coordinate with type %r." % cf_type) + data = data.rename({match: out_name}) + coord = data.coords[out_name] + if "units" in coord.attrs: + data.coords[out_name] = cfunits.convert_units(coord, units, coord.attrs["units"]) + data.coords[out_name].attrs.update(coord.attrs) + data.coords[out_name].attrs["units"] = units + if out_name in data.dims: + data = translate_coord_direction(data, out_name, stored_direction) + return data + + +VALID_LAT_UNITS = ["degrees_north", "degree_north", "degree_N", "degrees_N", "degreeN", "degreesN"] + + +def is_latitude(coord: xr.IndexVariable) -> bool: + return coord.attrs.get("units") in VALID_LAT_UNITS + + +COORD_TRANSLATORS["latitude"] = functools.partial( + coord_translator, "latitude", "degrees_north", "decreasing", is_latitude +) + + +VALID_LON_UNITS = ["degrees_east", "degree_east", "degree_E", "degrees_E", "degreeE", "degreesE"] + + +def is_longitude(coord: xr.IndexVariable) -> bool: + return coord.attrs.get("units") in VALID_LON_UNITS + + +COORD_TRANSLATORS["longitude"] = functools.partial( + coord_translator, "longitude", "degrees_east", "increasing", is_longitude +) + + +def is_time(coord: xr.IndexVariable) -> bool: + return coord.attrs.get("standard_name") == "forecast_reference_time" + + +TIME_CF_UNITS = "seconds since 1970-01-01T00:00:00+00:00" + + +COORD_TRANSLATORS["time"] = functools.partial( + coord_translator, "time", TIME_CF_UNITS, "increasing", is_time +) + + +def is_step(coord: xr.IndexVariable) -> bool: + return coord.attrs.get("standard_name") == "forecast_period" + + +COORD_TRANSLATORS["step"] = functools.partial(coord_translator, "step", "h", "increasing", is_step) + + +def is_valid_time(coord: xr.IndexVariable) -> bool: + if coord.attrs.get("standard_name") == "time": + return True + elif str(coord.dtype) == "datetime64[ns]" and "standard_name" not in coord.attrs: + return True + return False + + +COORD_TRANSLATORS["valid_time"] = functools.partial( + coord_translator, "valid_time", TIME_CF_UNITS, "increasing", is_valid_time +) + + +def is_depth(coord: xr.IndexVariable) -> bool: + return coord.attrs.get("standard_name") == "depth" + + +COORD_TRANSLATORS["depthBelowLand"] = functools.partial( + coord_translator, "depthBelowLand", "m", "decreasing", is_depth +) + + +def is_isobaric(coord: xr.IndexVariable) -> bool: + return cfunits.are_convertible(coord.attrs.get("units", ""), "Pa") + + +COORD_TRANSLATORS["isobaricInhPa"] = functools.partial( + coord_translator, "isobaricInhPa", "hPa", "decreasing", is_isobaric +) + + +def is_number(coord: xr.IndexVariable) -> bool: + return coord.attrs.get("standard_name") == "realization" + + +COORD_TRANSLATORS["number"] = functools.partial( + coord_translator, "number", "1", "increasing", is_number +) + + +# CF-Conventions have no concept of leadtime expressed in months +def is_forecast_month(coord: xr.IndexVariable) -> bool: + return coord.attrs.get("long_name") == "months since forecast_reference_time" + + +COORD_TRANSLATORS["forecastMonth"] = functools.partial( + coord_translator, "forecastMonth", "1", "increasing", is_forecast_month +) + + +def translate_coords( + data, coord_model=COORD_MODEL, errors="warn", coord_translators=COORD_TRANSLATORS +): + # type: (xr.Dataset, CoordModelType, str, T.Dict[str, CoordTranslatorType]) -> xr.Dataset + for cf_name, translator in coord_translators.items(): + try: + data = translator(cf_name, data, coord_model) + except: + if errors == "ignore": + pass + elif errors == "raise": + raise RuntimeError("error while translating coordinate: %r" % cf_name) + else: + LOG.warning("error while translating coordinate: %r", cf_name) + return data diff --git a/cf2cdm/cfunits.py b/cf2cdm/cfunits.py new file mode 100644 index 0000000..121fb46 --- /dev/null +++ b/cf2cdm/cfunits.py @@ -0,0 +1,73 @@ +# +# Copyright 2017-2021 European Centre for Medium-Range Weather Forecasts (ECMWF). +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Authors: +# Alessandro Amici - B-Open - https://bopen.eu +# + +import typing as T + +PRESSURE_CONVERSION_RULES: T.Dict[T.Tuple[str, ...], float] = { + ("Pa", "pascal", "pascals"): 1.0, + ("hPa", "hectopascal", "hectopascals", "hpascal", "millibar", "millibars", "mbar"): 100.0, + ("decibar", "dbar"): 10000.0, + ("bar", "bars"): 100000.0, + ("atmosphere", "atmospheres", "atm"): 101325.0, +} + +LENGTH_CONVERSION_RULES: T.Dict[T.Tuple[str, ...], float] = { + ("m", "meter", "meters"): 1.0, + ("cm", "centimeter", "centimeters"): 0.01, + ("km", "kilometer", "kilometers"): 1000.0, +} + + +class ConversionError(Exception): + pass + + +def simple_conversion_factor(source_units, target_units, rules): + # type: (str, str, T.Dict[T.Tuple[str, ...], float]) -> float + conversion_factor = 1.0 + seen = 0 + for pressure_units, factor in rules.items(): + if source_units in pressure_units: + conversion_factor /= factor + seen += 1 + if target_units in pressure_units: + conversion_factor *= factor + seen += 1 + if seen != 2: + raise ConversionError("cannot convert from %r to %r." % (source_units, target_units)) + return conversion_factor + + +def convert_units(data: T.Any, target_units: str, source_units: str) -> T.Any: + if target_units == source_units: + return data + for rules in [PRESSURE_CONVERSION_RULES, LENGTH_CONVERSION_RULES]: + try: + return data * simple_conversion_factor(target_units, source_units, rules) + except ConversionError: + pass + raise ConversionError("cannot convert from %r to %r." % (source_units, target_units)) + + +def are_convertible(source_units: str, target_units: str) -> bool: + try: + convert_units(1, source_units, target_units) + except ConversionError: + return False + return True diff --git a/cf2cdm/datamodels.py b/cf2cdm/datamodels.py new file mode 100644 index 0000000..03e5640 --- /dev/null +++ b/cf2cdm/datamodels.py @@ -0,0 +1,42 @@ +# +# Copyright 2017-2021 European Centre for Medium-Range Weather Forecasts (ECMWF). +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Authors: +# Alessandro Amici - B-Open - https://bopen.eu +# + +CDS = { + # geography + "latitude": {"out_name": "lat", "stored_direction": "increasing"}, + "longitude": {"out_name": "lon", "stored_direction": "increasing"}, + # vertical + "depthBelowLand": {"out_name": "depth", "units": "m", "stored_direction": "increasing"}, + "isobaricInhPa": {"out_name": "plev", "units": "Pa", "stored_direction": "decreasing"}, + # ensemble + "number": {"out_name": "realization", "stored_direction": "increasing"}, + # time + "time": {"out_name": "forecast_reference_time", "stored_direction": "increasing"}, + "valid_time": {"out_name": "time", "stored_direction": "increasing"}, + "step": {"out_name": "leadtime", "stored_direction": "increasing"}, + "forecastMonth": {"out_name": "leadtime_month", "stored_direction": "increasing"}, +} + + +ECMWF = { + "depthBelowLand": {"out_name": "level", "units": "m", "stored_direction": "increasing"}, + "isobaricInhPa": {"out_name": "level", "units": "hPa", "stored_direction": "decreasing"}, + "isobaricInPa": {"out_name": "level", "units": "hPa", "stored_direction": "decreasing"}, + "hybrid": {"out_name": "level", "stored_direction": "increasing"}, +} diff --git a/tests/sample-data/era5-levels-members.grib b/tests/sample-data/era5-levels-members.grib new file mode 100644 index 0000000000000000000000000000000000000000..9ad18ded037c964968bab16d101fc36ed4c94bbd GIT binary patch literal 2361600 zcmd?RWq1@@)HR4ha7}ICqXW57k78NI2U)g!RLJQ 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zxC{cEofr5(1IqFa#lZZD9LuC>1&9;O?2JCpfO0_*g!yTrCWZ3R#NJjbnAzFcSus0f ziBrx?PGfh2)A7BCRKNh;f=$inUx#^8?W01ecLrItfV#lug%dC)ofh`Gn(VG#D6F%> zhn?LzZE#3@XPIH~?2Zpxp5L>_|GL}lUtRa~8(ms63+6o7^UHa0%EB}C#=21_mR_a> zlr_J^lIXO1s(nt8_%(J+5Dx5FdHD#yefcG(aICktq){z%*5ICFOYRg{;&hWRR|Rby zP{BmOX2FhQ-rMZ304+iiq-?n*fm+zJ%iHIa8m?Tj34P~C-8?+KlE3m{?R|bMsc=|!g{z@|)jP1;b<2mXXrT3HYO5i0RaF2b+ zjcTd?CX8m9I4Ia*-Y)mg3R1r?YZfQo!n zZBi}Y_qh($^TQlcxb0_kr;au&(eERe+R*N`5SyPDgHUH}s|jGAm-nGHUbbW1aUaM$ z$V8E87#I*D_cnM%g&jrwL3G6CBWT0DIr8T%svQ8Rik`P>o>mx_Gt6AdODwS None: + assert cfunits.are_convertible("K", "K") + assert cfunits.are_convertible("m", "meters") + assert cfunits.are_convertible("hPa", "Pa") + assert not cfunits.are_convertible("m", "Pa") diff --git a/tests/test_20_cfcoords.py b/tests/test_20_cfcoords.py new file mode 100644 index 0000000..ce866c4 --- /dev/null +++ b/tests/test_20_cfcoords.py @@ -0,0 +1,156 @@ +import sys +import typing as T + +import numpy as np +import pytest + +pytest.importorskip("xarray") # noqa + +import xarray as xr + +from cf2cdm import cfcoords + + +@pytest.fixture +def da1() -> xr.Dataset: + latitude = [0.5, 0.0] + longitude = [10.0, 10.5] + time = ["2017-12-01T00:00:00", "2017-12-01T12:00:00", "2017-12-02T00:00:00"] + level = [950, 500] + data = xr.DataArray( + np.zeros((2, 2, 3, 2), dtype="float32"), + coords=[ + ("lat", latitude, {"units": "degrees_north"}), + ("lon", longitude, {"units": "degrees_east"}), + ( + "ref_time", + np.array(time, dtype="datetime64[ns]"), + {"standard_name": "forecast_reference_time"}, + ), + ("level", np.array(level), {"units": "hPa"}), + ], + ) + return data.to_dataset(name="da1") + + +@pytest.fixture +def da2() -> xr.Dataset: + latitude = [0.5, 0.0] + longitude = [10.0, 10.5] + time = ["2017-12-01T00:00:00", "2017-12-01T12:00:00", "2017-12-02T00:00:00"] + level = [950, 500] + data = xr.DataArray( + np.zeros((2, 2, 3, 2), dtype="float32"), + coords=[ + ("lat", latitude, {"units": "degrees_north"}), + ("lon", longitude, {"units": "degrees_east"}), + ("time", np.array(time, dtype="datetime64[ns]")), + ("level", np.array(level), {"units": "hPa"}), + ], + ) + return data.to_dataset(name="da2") + + +@pytest.fixture +def da3() -> xr.Dataset: + latitude = [0.5, 0.0] + longitude = [10.0, 10.5] + step = [0, 24, 48] + time = ["2017-12-01T00:00:00", "2017-12-01T12:00:00"] + level = [950, 500] + data = xr.DataArray( + np.zeros((2, 2, 3, 2, 2), dtype="float32"), + coords=[ + ("lat", latitude, {"units": "degrees_north"}), + ("lon", longitude, {"units": "degrees_east"}), + ("step", np.array(step, dtype="timedelta64[h]"), {"standard_name": "forecast_period"}), + ( + "ref_time", + np.array(time, dtype="datetime64[ns]"), + {"standard_name": "forecast_reference_time"}, + ), + ("time", np.array(level), {"units": "hPa"}), + ], + ) + + return data.to_dataset(name="da3") + + +def test_match_values() -> None: + mapping = {"callable": len, "int": 1} # type: T.Dict[T.Hashable, T.Any] + res = cfcoords.match_values(callable, mapping) + + assert res == ["callable"] + + +def test_translate_coord_direction(da1: xr.Dataset) -> None: + res = cfcoords.translate_coord_direction(da1, "lat", "increasing") + assert res.lat.values[-1] > res.lat.values[0] + + res = cfcoords.translate_coord_direction(da1, "lat", "decreasing") + assert res.lat.values[-1] < res.lat.values[0] + + res = cfcoords.translate_coord_direction(da1, "lon", "decreasing") + assert res.lon.values[-1] < res.lon.values[0] + + res = cfcoords.translate_coord_direction(da1, "lon", "increasing") + assert res.lon.values[-1] > res.lon.values[0] + + res = cfcoords.translate_coord_direction(da1.isel(lon=0), "lon", "increasing") + assert len(res.lon.shape) == 0 + + with pytest.raises(ValueError): + cfcoords.translate_coord_direction(da1, "lat", "wrong") + + +def test_coord_translator(da1: xr.Dataset) -> None: + res = cfcoords.coord_translator("level", "hPa", "decreasing", lambda x: False, "lvl", da1) + assert da1.equals(res) + + with pytest.raises(ValueError): + cfcoords.coord_translator("level", "hPa", "decreasing", lambda x: True, "lvl", da1) + + res = cfcoords.coord_translator("level", "hPa", "decreasing", cfcoords.is_isobaric, "lvl", da1) + assert da1.equals(res) + + with pytest.raises(ValueError): + cfcoords.coord_translator("level", "hPa", "decreasing", cfcoords.is_latitude, "lvl", da1) + + res = cfcoords.coord_translator("level", "Pa", "decreasing", cfcoords.is_isobaric, "lvl", da1) + assert not da1.equals(res) + + res = cfcoords.coord_translator("step", "h", "increasing", cfcoords.is_step, "step", da1) + assert da1.equals(res) + + +def test_translate_coords(da1: xr.Dataset, da2: xr.Dataset, da3: xr.Dataset) -> None: + res = cfcoords.translate_coords(da1) + + assert "latitude" in res.coords + assert "longitude" in res.coords + assert "time" in res.coords + + res = cfcoords.translate_coords(da2) + + assert "latitude" in res.coords + assert "longitude" in res.coords + assert "valid_time" in res.coords + + res = cfcoords.translate_coords(da3, errors="ignore") + assert "latitude" in res.coords + assert "longitude" in res.coords + + +@pytest.mark.skipif(sys.version_info < (3, 6), reason="test needs stable dict's") +def test_translate_coords_errors(da3: xr.Dataset) -> None: + cfcoords.translate_coords(da3) + cfcoords.translate_coords(da3, errors="ignore") + with pytest.raises(RuntimeError): + cfcoords.translate_coords(da3, errors="raise") + + DATA_MODEL = {"config": {"preferred_time_dimension": "valid_time"}} + cfcoords.translate_coords(da3, DATA_MODEL) + + da3_fail = da3.drop_vars("time") + cfcoords.translate_coords(da3_fail, DATA_MODEL) + cfcoords.translate_coords(da3_fail, DATA_MODEL, errors="ignore") diff --git a/tests/test_50_datamodels.py b/tests/test_50_datamodels.py new file mode 100644 index 0000000..8845893 --- /dev/null +++ b/tests/test_50_datamodels.py @@ -0,0 +1,74 @@ +import os.path + +import pytest + +xr = pytest.importorskip("xarray") # noqa + +from cf2cdm import cfcoords, datamodels +from cfgrib import xarray_store + +SAMPLE_DATA_FOLDER = os.path.join(os.path.dirname(__file__), "sample-data") +TEST_DATA1 = os.path.join(SAMPLE_DATA_FOLDER, "era5-levels-members.grib") +TEST_DATA2 = os.path.join(SAMPLE_DATA_FOLDER, "lambert_grid.grib") + + +def test_cds() -> None: + ds = xarray_store.open_dataset(TEST_DATA1) + + res = cfcoords.translate_coords(ds, coord_model=datamodels.CDS) + + assert set(res.dims) == {"forecast_reference_time", "lat", "lon", "plev", "realization"} + assert set(res.coords) == { + "forecast_reference_time", + "lat", + "leadtime", + "lon", + "plev", + "realization", + "time", + } + + ds = xarray_store.open_dataset(TEST_DATA2) + + res = cfcoords.translate_coords(ds, coord_model=datamodels.CDS) + + assert set(res.dims) == {"x", "y"} + assert set(res.coords) == { + "forecast_reference_time", + "heightAboveGround", + "lat", + "leadtime", + "lon", + "time", + } + + +def test_ecmwf() -> None: + ds = xarray_store.open_dataset(TEST_DATA1) + + res = cfcoords.translate_coords(ds, coord_model=datamodels.ECMWF) + + assert set(res.dims) == {"latitude", "level", "longitude", "number", "time"} + assert set(res.coords) == { + "latitude", + "level", + "longitude", + "number", + "step", + "time", + "valid_time", + } + + ds = xarray_store.open_dataset(TEST_DATA2) + + res = cfcoords.translate_coords(ds, coord_model=datamodels.ECMWF) + + assert set(res.dims) == {"x", "y"} + assert set(res.coords) == { + "heightAboveGround", + "latitude", + "longitude", + "step", + "time", + "valid_time", + }

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