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[pre-commit.ci] pre-commit autoupdate (#8710)
* [pre-commit.ci] pre-commit autoupdate updates: - [github.com/astral-sh/ruff-pre-commit: v0.1.9 → v0.2.0](astral-sh/ruff-pre-commit@v0.1.9...v0.2.0) - [github.com/psf/black-pre-commit-mirror: 23.12.1 → 24.1.1](psf/black-pre-commit-mirror@23.12.1...24.1.1) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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‎.pre-commit-config.yaml

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- id: mixed-line-ending
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- repo: https://github.com/astral-sh/ruff-pre-commit
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# Ruff version.
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rev: 'v0.1.9'
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rev: 'v0.2.0'
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hooks:
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- id: ruff
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args: ["--fix", "--show-fixes"]
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# https://github.com/python/black#version-control-integration
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- repo: https://github.com/psf/black-pre-commit-mirror
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rev: 23.12.1
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rev: 24.1.1
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hooks:
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- id: black-jupyter
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- repo: https://github.com/keewis/blackdoc
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rev: v0.3.9
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hooks:
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- id: blackdoc
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exclude: "generate_aggregations.py"
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additional_dependencies: ["black==23.12.1"]
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additional_dependencies: ["black==24.1.1"]
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- id: blackdoc-autoupdate-black
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- repo: https://github.com/pre-commit/mirrors-mypy
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rev: v1.8.0

‎doc/contributing.rst

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.. code-block:: python
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class TestReallyCoolFeature:
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...
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class TestReallyCoolFeature: ...
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Going forward, we are moving to a more *functional* style using the
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`pytest <http://doc.pytest.org/en/latest/>`__ framework, which offers a richer
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.. code-block:: python
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def test_really_cool_feature():
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...
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def test_really_cool_feature(): ...
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Using ``pytest``
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~~~~~~~~~~~~~~~~

‎doc/gallery/plot_cartopy_facetgrid.py

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.. _this discussion: https://github.com/pydata/xarray/issues/1397#issuecomment-299190567
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"""
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import cartopy.crs as ccrs
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import matplotlib.pyplot as plt
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‎doc/gallery/plot_control_colorbar.py

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Use ``cbar_kwargs`` keyword to specify the number of ticks.
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The ``spacing`` kwarg can be used to draw proportional ticks.
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"""
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import matplotlib.pyplot as plt
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import xarray as xr

‎properties/test_encode_decode.py

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These ones pass, just as you'd hope!
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"""
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import pytest
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pytest.importorskip("hypothesis")

‎properties/test_pandas_roundtrip.py

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"""
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Property-based tests for roundtripping between xarray and pandas objects.
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"""
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from functools import partial
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import numpy as np

‎xarray/backends/__init__.py

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DataStores provide a uniform interface for saving and loading data in different
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formats. They should not be used directly, but rather through Dataset objects.
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"""
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from xarray.backends.common import AbstractDataStore, BackendArray, BackendEntrypoint
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from xarray.backends.file_manager import (
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CachingFileManager,

‎xarray/backends/api.py

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def open_mfdataset(
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paths: str | NestedSequence[str | os.PathLike],
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chunks: T_Chunks | None = None,
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concat_dim: str
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| DataArray
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| Index
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| Sequence[str]
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| Sequence[DataArray]
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| Sequence[Index]
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| None = None,
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concat_dim: (
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str
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| DataArray
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| Index
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| Sequence[str]
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| Sequence[DataArray]
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| Sequence[Index]
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| None
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) = None,
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compat: CompatOptions = "no_conflicts",
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preprocess: Callable[[Dataset], Dataset] | None = None,
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engine: T_Engine | None = None,
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*,
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multifile: Literal[True],
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invalid_netcdf: bool = False,
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) -> tuple[ArrayWriter, AbstractDataStore]:
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...
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) -> tuple[ArrayWriter, AbstractDataStore]: ...
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# path=None writes to bytes
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multifile: Literal[False] = False,
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invalid_netcdf: bool = False,
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) -> bytes:
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) -> bytes: ...
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# compute=False returns dask.Delayed
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invalid_netcdf: bool = False,
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) -> Delayed:
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...
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) -> Delayed: ...
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# default return None
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invalid_netcdf: bool = False,
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) -> None:
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...
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) -> None: ...
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# if compute cannot be evaluated at type check time
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multifile: Literal[False] = False,
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invalid_netcdf: bool = False,
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) -> Delayed | None:
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...
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) -> Delayed | None: ...
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multifile: bool = False,
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invalid_netcdf: bool = False,
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) -> tuple[ArrayWriter, AbstractDataStore] | Delayed | None:
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...
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) -> tuple[ArrayWriter, AbstractDataStore] | Delayed | None: ...
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# Any
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compute: bool = False,
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invalid_netcdf: bool = False,
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) -> tuple[ArrayWriter, AbstractDataStore] | bytes | Delayed | None:
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...
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) -> tuple[ArrayWriter, AbstractDataStore] | bytes | Delayed | None: ...
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def to_netcdf(
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zarr_version: int | None = None,
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write_empty_chunks: bool | None = None,
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chunkmanager_store_kwargs: dict[str, Any] | None = None,
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) -> backends.ZarrStore:
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) -> backends.ZarrStore: ...
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chunkmanager_store_kwargs: dict[str, Any] | None = None,
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) -> Delayed:
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def to_zarr(

‎xarray/backends/locks.py

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The creation of locks is itself not threadsafe.
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"""
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_locks: ClassVar[
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] = WeakValueDictionary()
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_locks: ClassVar[WeakValueDictionary[Hashable, threading.Lock]] = (
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WeakValueDictionary()
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)
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token: Hashable
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‎xarray/coding/cftime_offsets.py

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"""Time offset classes for use with cftime.datetime objects"""
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# The offset classes and mechanisms for generating time ranges defined in
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# this module were copied/adapted from those defined in pandas. See in
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# particular the objects and methods defined in pandas.tseries.offsets

‎xarray/coding/cftimeindex.py

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"""DatetimeIndex analog for cftime.datetime objects"""
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# use with cftime.datetime objects based on the source code defining
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# pandas.DatetimeIndex.

‎xarray/coding/frequencies.py

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"""FrequencyInferer analog for cftime.datetime objects"""
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# subclass defined here were copied and adapted for
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# use with cftime.datetime objects based on the source code in

‎xarray/coding/strings.py

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"""Coders for strings."""
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from __future__ import annotations
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from functools import partial

‎xarray/coding/variables.py

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"""Coders for individual Variable objects."""
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import warnings

‎xarray/convert.py

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"""Functions for converting to and from xarray objects
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"""
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from collections import Counter
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import numpy as np

‎xarray/core/_aggregations.py

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"""Mixin classes with reduction operations."""
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# This file was generated using xarray.util.generate_aggregations. Do not edit manually.
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from __future__ import annotations

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