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Duck array ops for all and any #18357

Duck array ops for all and any

Duck array ops for all and any #18357

GitHub Actions / Test Results failed Dec 13, 2024 in 0s

20 fail, 2 318 skipped, 18 832 pass in 1h 19m 53s

     11 files  +     11       11 suites  +11   1h 19m 53s ⏱️ + 1h 19m 53s
 21 170 tests + 21 170   18 832 ✅ + 18 832   2 318 💤 + 2 318   20 ❌ + 20 
180 104 runs  +180 104  155 800 ✅ +155 800  24 139 💤 +24 139  165 ❌ +165 

Results for commit f67c87d. ± Comparison against earlier commit b3cd8eb.

Annotations

Check warning on line 0 in xarray.tests.test_computation

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_polyval_integration[1D-simple-nodask] (xarray.tests.test_computation)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
use_dask = False
x = <xarray.DataArray (x: 3)> Size: 24B
array([0, 1, 2])
Dimensions without coordinates: x
y = <xarray.DataArray (x: 3)> Size: 24B
array([ 1,  6, 17])
Coordinates:
  * x        (x) int64 24B 0 1 2

    @pytest.mark.parametrize(
        "use_dask", [pytest.param(False, id="nodask"), pytest.param(True, id="dask")]
    )
    @pytest.mark.parametrize(
        "x",
        [
            pytest.param(xr.DataArray([0, 1, 2], dims="x"), id="simple"),
            pytest.param(
                xr.DataArray(pd.date_range("1970-01-01", freq="ns", periods=3), dims="x"),
                id="datetime",
            ),
            pytest.param(
                xr.DataArray(np.array([0, 1, 2], dtype="timedelta64[ns]"), dims="x"),
                id="timedelta",
            ),
        ],
    )
    @pytest.mark.parametrize(
        "y",
        [
            pytest.param(xr.DataArray([1, 6, 17], dims="x"), id="1D"),
            pytest.param(
                xr.DataArray([[1, 6, 17], [34, 57, 86]], dims=("y", "x")), id="2D"
            ),
        ],
    )
    def test_polyfit_polyval_integration(
        use_dask: bool, x: xr.DataArray, y: xr.DataArray
    ) -> None:
        y.coords["x"] = x
        if use_dask:
            if not has_dask:
                pytest.skip("requires dask")
            y = y.chunk({"x": 2})
    
>       fit = y.polyfit(dim="x", deg=2)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_computation.py#x1B[0m:2484: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (x: 3)> Size: 3B
array([False, False, False])
func = <function array_any at 0x00000195FDA7E7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_computation

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_polyval_integration[1D-datetime-nodask] (xarray.tests.test_computation)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
use_dask = False
x = <xarray.DataArray (x: 3)> Size: 24B
array(['1970-01-01T00:00:00.000000000', '1970-01-01T00:00:00.000000001',
       '1..., dtype='datetime64[ns]')
Coordinates:
  * x        (x) datetime64[ns] 24B 1970-01-01 ... 1970-01-01T00:00:00.000000002
y = <xarray.DataArray (x: 3)> Size: 24B
array([ 1,  6, 17])
Coordinates:
  * x        (x) datetime64[ns] 24B 1970-01-01 ... 1970-01-01T00:00:00.000000002

    @pytest.mark.parametrize(
        "use_dask", [pytest.param(False, id="nodask"), pytest.param(True, id="dask")]
    )
    @pytest.mark.parametrize(
        "x",
        [
            pytest.param(xr.DataArray([0, 1, 2], dims="x"), id="simple"),
            pytest.param(
                xr.DataArray(pd.date_range("1970-01-01", freq="ns", periods=3), dims="x"),
                id="datetime",
            ),
            pytest.param(
                xr.DataArray(np.array([0, 1, 2], dtype="timedelta64[ns]"), dims="x"),
                id="timedelta",
            ),
        ],
    )
    @pytest.mark.parametrize(
        "y",
        [
            pytest.param(xr.DataArray([1, 6, 17], dims="x"), id="1D"),
            pytest.param(
                xr.DataArray([[1, 6, 17], [34, 57, 86]], dims=("y", "x")), id="2D"
            ),
        ],
    )
    def test_polyfit_polyval_integration(
        use_dask: bool, x: xr.DataArray, y: xr.DataArray
    ) -> None:
        y.coords["x"] = x
        if use_dask:
            if not has_dask:
                pytest.skip("requires dask")
            y = y.chunk({"x": 2})
    
>       fit = y.polyfit(dim="x", deg=2)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_computation.py#x1B[0m:2484: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (x: 3)> Size: 3B
array([False, False, False])
func = <function array_any at 0x00000195FDA7E7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_computation

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_polyval_integration[1D-timedelta-nodask] (xarray.tests.test_computation)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
use_dask = False
x = <xarray.DataArray (x: 3)> Size: 24B
array([0, 1, 2], dtype='timedelta64[ns]')
Dimensions without coordinates: x
y = <xarray.DataArray (x: 3)> Size: 24B
array([ 1,  6, 17])
Coordinates:
  * x        (x) timedelta64[ns] 24B 00:00:00 ... 00:00:00.000000002

    @pytest.mark.parametrize(
        "use_dask", [pytest.param(False, id="nodask"), pytest.param(True, id="dask")]
    )
    @pytest.mark.parametrize(
        "x",
        [
            pytest.param(xr.DataArray([0, 1, 2], dims="x"), id="simple"),
            pytest.param(
                xr.DataArray(pd.date_range("1970-01-01", freq="ns", periods=3), dims="x"),
                id="datetime",
            ),
            pytest.param(
                xr.DataArray(np.array([0, 1, 2], dtype="timedelta64[ns]"), dims="x"),
                id="timedelta",
            ),
        ],
    )
    @pytest.mark.parametrize(
        "y",
        [
            pytest.param(xr.DataArray([1, 6, 17], dims="x"), id="1D"),
            pytest.param(
                xr.DataArray([[1, 6, 17], [34, 57, 86]], dims=("y", "x")), id="2D"
            ),
        ],
    )
    def test_polyfit_polyval_integration(
        use_dask: bool, x: xr.DataArray, y: xr.DataArray
    ) -> None:
        y.coords["x"] = x
        if use_dask:
            if not has_dask:
                pytest.skip("requires dask")
            y = y.chunk({"x": 2})
    
>       fit = y.polyfit(dim="x", deg=2)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_computation.py#x1B[0m:2484: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (x: 3)> Size: 3B
array([False, False, False])
func = <function array_any at 0x00000195FDA7E7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_computation

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_polyval_integration[2D-simple-nodask] (xarray.tests.test_computation)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
use_dask = False
x = <xarray.DataArray (x: 3)> Size: 24B
array([0, 1, 2])
Dimensions without coordinates: x
y = <xarray.DataArray (y: 2, x: 3)> Size: 48B
array([[ 1,  6, 17],
       [34, 57, 86]])
Coordinates:
  * x        (x) int64 24B 0 1 2
Dimensions without coordinates: y

    @pytest.mark.parametrize(
        "use_dask", [pytest.param(False, id="nodask"), pytest.param(True, id="dask")]
    )
    @pytest.mark.parametrize(
        "x",
        [
            pytest.param(xr.DataArray([0, 1, 2], dims="x"), id="simple"),
            pytest.param(
                xr.DataArray(pd.date_range("1970-01-01", freq="ns", periods=3), dims="x"),
                id="datetime",
            ),
            pytest.param(
                xr.DataArray(np.array([0, 1, 2], dtype="timedelta64[ns]"), dims="x"),
                id="timedelta",
            ),
        ],
    )
    @pytest.mark.parametrize(
        "y",
        [
            pytest.param(xr.DataArray([1, 6, 17], dims="x"), id="1D"),
            pytest.param(
                xr.DataArray([[1, 6, 17], [34, 57, 86]], dims=("y", "x")), id="2D"
            ),
        ],
    )
    def test_polyfit_polyval_integration(
        use_dask: bool, x: xr.DataArray, y: xr.DataArray
    ) -> None:
        y.coords["x"] = x
        if use_dask:
            if not has_dask:
                pytest.skip("requires dask")
            y = y.chunk({"x": 2})
    
>       fit = y.polyfit(dim="x", deg=2)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_computation.py#x1B[0m:2484: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (y: 2, x: 3)> Size: 6B
array([[False, False, False],
       [False, False, False]])
func = <function array_any at 0x00000195FDA7E7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_computation

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_polyval_integration[2D-datetime-nodask] (xarray.tests.test_computation)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
use_dask = False
x = <xarray.DataArray (x: 3)> Size: 24B
array(['1970-01-01T00:00:00.000000000', '1970-01-01T00:00:00.000000001',
       '1..., dtype='datetime64[ns]')
Coordinates:
  * x        (x) datetime64[ns] 24B 1970-01-01 ... 1970-01-01T00:00:00.000000002
y = <xarray.DataArray (y: 2, x: 3)> Size: 48B
array([[ 1,  6, 17],
       [34, 57, 86]])
Coordinates:
  * x        (x) datetime64[ns] 24B 1970-01-01 ... 1970-01-01T00:00:00.000000002
Dimensions without coordinates: y

    @pytest.mark.parametrize(
        "use_dask", [pytest.param(False, id="nodask"), pytest.param(True, id="dask")]
    )
    @pytest.mark.parametrize(
        "x",
        [
            pytest.param(xr.DataArray([0, 1, 2], dims="x"), id="simple"),
            pytest.param(
                xr.DataArray(pd.date_range("1970-01-01", freq="ns", periods=3), dims="x"),
                id="datetime",
            ),
            pytest.param(
                xr.DataArray(np.array([0, 1, 2], dtype="timedelta64[ns]"), dims="x"),
                id="timedelta",
            ),
        ],
    )
    @pytest.mark.parametrize(
        "y",
        [
            pytest.param(xr.DataArray([1, 6, 17], dims="x"), id="1D"),
            pytest.param(
                xr.DataArray([[1, 6, 17], [34, 57, 86]], dims=("y", "x")), id="2D"
            ),
        ],
    )
    def test_polyfit_polyval_integration(
        use_dask: bool, x: xr.DataArray, y: xr.DataArray
    ) -> None:
        y.coords["x"] = x
        if use_dask:
            if not has_dask:
                pytest.skip("requires dask")
            y = y.chunk({"x": 2})
    
>       fit = y.polyfit(dim="x", deg=2)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_computation.py#x1B[0m:2484: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (y: 2, x: 3)> Size: 6B
array([[False, False, False],
       [False, False, False]])
func = <function array_any at 0x00000195FDA7E7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_computation

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_polyval_integration[2D-timedelta-nodask] (xarray.tests.test_computation)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
use_dask = False
x = <xarray.DataArray (x: 3)> Size: 24B
array([0, 1, 2], dtype='timedelta64[ns]')
Dimensions without coordinates: x
y = <xarray.DataArray (y: 2, x: 3)> Size: 48B
array([[ 1,  6, 17],
       [34, 57, 86]])
Coordinates:
  * x        (x) timedelta64[ns] 24B 00:00:00 ... 00:00:00.000000002
Dimensions without coordinates: y

    @pytest.mark.parametrize(
        "use_dask", [pytest.param(False, id="nodask"), pytest.param(True, id="dask")]
    )
    @pytest.mark.parametrize(
        "x",
        [
            pytest.param(xr.DataArray([0, 1, 2], dims="x"), id="simple"),
            pytest.param(
                xr.DataArray(pd.date_range("1970-01-01", freq="ns", periods=3), dims="x"),
                id="datetime",
            ),
            pytest.param(
                xr.DataArray(np.array([0, 1, 2], dtype="timedelta64[ns]"), dims="x"),
                id="timedelta",
            ),
        ],
    )
    @pytest.mark.parametrize(
        "y",
        [
            pytest.param(xr.DataArray([1, 6, 17], dims="x"), id="1D"),
            pytest.param(
                xr.DataArray([[1, 6, 17], [34, 57, 86]], dims=("y", "x")), id="2D"
            ),
        ],
    )
    def test_polyfit_polyval_integration(
        use_dask: bool, x: xr.DataArray, y: xr.DataArray
    ) -> None:
        y.coords["x"] = x
        if use_dask:
            if not has_dask:
                pytest.skip("requires dask")
            y = y.chunk({"x": 2})
    
>       fit = y.polyfit(dim="x", deg=2)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_computation.py#x1B[0m:2484: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (y: 2, x: 3)> Size: 6B
array([[False, False, False],
       [False, False, False]])
func = <function array_any at 0x00000195FDA7E7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_dataset.TestDataset

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_output (xarray.tests.test_dataset.TestDataset)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_dataset.TestDataset object at 0x0000021790DAF310>

    def test_polyfit_output(self) -> None:
        ds = create_test_data(seed=1)
    
>       out = ds.polyfit("dim2", 2, full=False)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_dataset.py#x1B[0m:6676: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (dim1: 8, dim2: 9)> Size: 72B
array([[False, False, False, False, False, False, False, False, False],...se, False, False, False, False, False, False],
       [False, False, False, False, False, False, False, False, False]])
func = <function array_any at 0x00000217820CE7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_dataset.TestDataset

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_weighted (xarray.tests.test_dataset.TestDataset)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_dataset.TestDataset object at 0x0000021790DAF580>

    def test_polyfit_weighted(self) -> None:
        # Make sure weighted polyfit does not change the original object (issue #5644)
        ds = create_test_data(seed=1)
        ds_copy = ds.copy(deep=True)
    
>       ds.polyfit("dim2", 2, w=np.arange(ds.sizes["dim2"]))

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_dataset.py#x1B[0m:6691: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (dim1: 8, dim2: 9)> Size: 72B
array([[False, False, False, False, False, False, False, False, False],...se, False, False, False, False, False, False],
       [False, False, False, False, False, False, False, False, False]])
func = <function array_any at 0x00000217820CE7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_dataset.TestDataset

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_coord (xarray.tests.test_dataset.TestDataset)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_dataset.TestDataset object at 0x0000021790DAF7F0>

    def test_polyfit_coord(self) -> None:
        # Make sure polyfit works when given a non-dimension coordinate.
        ds = create_test_data(seed=1)
    
>       out = ds.polyfit("numbers", 2, full=False)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_dataset.py#x1B[0m:6698: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (dim3: 10, dim1: 8)> Size: 80B
array([[False, False, False, False, False, False, False, False],
     ...se, False, False, False, False, False, False, False],
       [False, False, False, False, False, False, False, False]])
func = <function array_any at 0x00000217820CE7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_dataset.TestDataset

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_coord_output (xarray.tests.test_dataset.TestDataset)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_dataset.TestDataset object at 0x0000021790DAFA60>

    def test_polyfit_coord_output(self) -> None:
        da = xr.DataArray(
            [1, 3, 2], dims=["x"], coords=dict(x=["a", "b", "c"], y=("x", [0, 1, 2]))
        )
>       out = da.polyfit("y", deg=1)["polyfit_coefficients"]

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_dataset.py#x1B[0m:6708: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (x: 3)> Size: 3B
array([False, False, False])
func = <function array_any at 0x00000217820CE7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_dataset.TestDataset

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_warnings (xarray.tests.test_dataset.TestDataset)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_dataset.TestDataset object at 0x0000021790DAFCD0>

    def test_polyfit_warnings(self) -> None:
        ds = create_test_data(seed=1)
    
        with warnings.catch_warnings(record=True) as ws:
>           ds.var1.polyfit("dim2", 10, full=False)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_dataset.py#x1B[0m:6716: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (dim1: 8, dim2: 9)> Size: 72B
array([[False, False, False, False, False, False, False, False, False],...se, False, False, False, False, False, False],
       [False, False, False, False, False, False, False, False, False]])
func = <function array_any at 0x00000217820CE7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_dataset.TestDataset

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit_polyval (xarray.tests.test_dataset.TestDataset)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_dataset.TestDataset object at 0x0000021790DAFFD0>

    def test_polyfit_polyval(self) -> None:
        da = xr.DataArray(
            np.arange(1, 10).astype(np.float64), dims=["x"], coords=dict(x=np.arange(9))
        )
    
>       out = da.polyfit("x", 3, full=False)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_dataset.py#x1B[0m:6727: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (x: 9)> Size: 9B
array([False, False, False, False, False, False, False, False, False])
func = <function array_any at 0x00000217820CE7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_dataset.TestDataset

See this annotation in the file changed.

@github-actions github-actions / Test Results

9 out of 10 runs failed: test_polyfit_polyval_cftime (xarray.tests.test_dataset.TestDataset)

artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_dataset.TestDataset object at 0x0000021790D8C1F0>

    @requires_cftime
    def test_polyfit_polyval_cftime(self) -> None:
        da = xr.DataArray(
            np.arange(1, 10).astype(np.float64),
            dims=["x"],
            coords=dict(
                x=xr.date_range("2001-01-01", periods=9, freq="YS", calendar="noleap")
            ),
        )
>       out = da.polyfit("x", 3, full=False)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_dataset.py#x1B[0m:6746: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (x: 9)> Size: 9B
array([False, False, False, False, False, False, False, False, False])
func = <function array_any at 0x00000217820CE7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_dataarray.TestDataArray

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit[True-False] (xarray.tests.test_dataarray.TestDataArray)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_dataarray.TestDataArray object at 0x000001958A4C6C50>
use_dask = False, use_datetime = True

    @pytest.mark.parametrize("use_dask", [True, False])
    @pytest.mark.parametrize("use_datetime", [True, False])
    @pytest.mark.filterwarnings("ignore:overflow encountered in multiply")
    def test_polyfit(self, use_dask, use_datetime) -> None:
        if use_dask and not has_dask:
            pytest.skip("requires dask")
        xcoord = xr.DataArray(
            pd.date_range("1970-01-01", freq="D", periods=10), dims=("x",), name="x"
        )
        x = xr.core.missing.get_clean_interp_index(xcoord, "x")
        if not use_datetime:
            xcoord = x
    
        da_raw = DataArray(
            np.stack((10 + 1e-15 * x + 2e-28 * x**2, 30 + 2e-14 * x + 1e-29 * x**2)),
            dims=("d", "x"),
            coords={"x": xcoord, "d": [0, 1]},
        )
    
        if use_dask:
            da = da_raw.chunk({"d": 1})
        else:
            da = da_raw
    
>       out = da.polyfit("x", 2)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_dataarray.py#x1B[0m:4276: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (d: 2, x: 10)> Size: 20B
array([[False, False, False, False, False, False, False, False, False,
        False],
       [False, False, False, False, False, False, False, False, False,
        False]])
func = <function array_any at 0x00000195FDA7E7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_dataarray.TestDataArray

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 10 runs failed: test_polyfit[False-False] (xarray.tests.test_dataarray.TestDataArray)

artifacts/Test results for Linux-3.10 bare-minimum/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12 all-but-numba/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 0s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 0s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_dataarray.TestDataArray object at 0x000001958C5DC310>
use_dask = False, use_datetime = False

    @pytest.mark.parametrize("use_dask", [True, False])
    @pytest.mark.parametrize("use_datetime", [True, False])
    @pytest.mark.filterwarnings("ignore:overflow encountered in multiply")
    def test_polyfit(self, use_dask, use_datetime) -> None:
        if use_dask and not has_dask:
            pytest.skip("requires dask")
        xcoord = xr.DataArray(
            pd.date_range("1970-01-01", freq="D", periods=10), dims=("x",), name="x"
        )
        x = xr.core.missing.get_clean_interp_index(xcoord, "x")
        if not use_datetime:
            xcoord = x
    
        da_raw = DataArray(
            np.stack((10 + 1e-15 * x + 2e-28 * x**2, 30 + 2e-14 * x + 1e-29 * x**2)),
            dims=("d", "x"),
            coords={"x": xcoord, "d": [0, 1]},
        )
    
        if use_dask:
            da = da_raw.chunk({"d": 1})
        else:
            da = da_raw
    
>       out = da.polyfit("x", 2)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_dataarray.py#x1B[0m:4276: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataarray.py#x1B[0m:5720: in polyfit
    return self._to_temp_dataset().polyfit(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\dataset.py#x1B[0m:9207: in polyfit
    skipna_da = bool(np.any(var.isnull()))
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2504: in any
    return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:179: in any
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable (d: 2, x: 10)> Size: 20B
array([[False, False, False, False, False, False, False, False, False,
        False],
       [False, False, False, False, False, False, False, False, False,
        False]])
func = <function array_any at 0x00000195FDA7E7A0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_sparse.TestSparseVariable

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 8 runs failed: test_missing_values (xarray.tests.test_sparse.TestSparseVariable)

artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.10/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
artifacts/Test results for Linux-3.12/pytest.xml [took 6s]
artifacts/Test results for Windows-3.10/pytest.xml [took 0s]
artifacts/Test results for Windows-3.12/pytest.xml [took 8s]
artifacts/Test results for macOS-3.10/pytest.xml [took 0s]
artifacts/Test results for macOS-3.12/pytest.xml [took 0s]
Raw output
TypeError: array_all() got an unexpected keyword argument 'out'
self = <xarray.tests.test_sparse.TestSparseVariable object at 0x000001CAE71CC490>

    def test_missing_values(self):
        a = np.array([0, 1, np.nan, 3])
        s = sparse.COO.from_numpy(a)
        var_s = Variable("x", s)
        assert np.all(var_s.fillna(2).data.todense() == np.arange(4))
>       assert np.all(var_s.count() == 3)

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\tests\test_sparse.py#x1B[0m:323: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:2601: in all
    return _wrapreduction_any_all(a, np.logical_and, 'all', axis, out,
#x1B[1m#x1B[31mC:\Users\runneradmin\micromamba\envs\xarray-tests\lib\site-packages\numpy\_core\fromnumeric.py#x1B[0m:100: in _wrapreduction_any_all
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\_aggregations.py#x1B[0m:126: in all
    return self.reduce(
#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\core\variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <xarray.Variable ()> Size: 1B
array(True)
func = <function array_all at 0x000001CAD6D9E710>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_all() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31mD:\a\xarray\xarray\xarray\namedarray\core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_units.TestDataArray

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 2 runs failed: test_aggregation[float64-function_all] (xarray.tests.test_units.TestDataArray)

artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
Raw output
TypeError: array_all() got an unexpected keyword argument 'out'
self = <xarray.tests.test_units.TestDataArray object at 0x7f5a4917a3b0>
func = function_all, dtype = dtype('float64')

    @pytest.mark.parametrize(
        "func",
        (
            function("all"),
            function("any"),
            pytest.param(
                function("argmax"),
                marks=pytest.mark.skip(
                    reason="calling np.argmax as a function on xarray objects is not "
                    "supported"
                ),
            ),
            pytest.param(
                function("argmin"),
                marks=pytest.mark.skip(
                    reason="calling np.argmin as a function on xarray objects is not "
                    "supported"
                ),
            ),
            function("max"),
            function("mean"),
            pytest.param(
                function("median"),
                marks=pytest.mark.skip(
                    reason="median does not work with dataarrays yet"
                ),
            ),
            function("min"),
            function("prod"),
            function("sum"),
            function("std"),
            function("var"),
            function("cumsum"),
            function("cumprod"),
            method("all"),
            method("any"),
            method("argmax", dim="x"),
            method("argmin", dim="x"),
            method("max"),
            method("mean"),
            method("median"),
            method("min"),
            method("prod"),
            method("sum"),
            method("std"),
            method("var"),
            method("cumsum"),
            method("cumprod"),
        ),
        ids=repr,
    )
    def test_aggregation(self, func, dtype):
        array = np.arange(10).astype(dtype) * (
            unit_registry.m if func.name != "cumprod" else unit_registry.dimensionless
        )
        data_array = xr.DataArray(data=array, dims="x")
    
        numpy_kwargs = func.kwargs.copy()
        if "dim" in numpy_kwargs:
            numpy_kwargs["axis"] = data_array.get_axis_num(numpy_kwargs.pop("dim"))
    
        # units differ based on the applied function, so we need to
        # first compute the units
        units = extract_units(func(array))
>       expected = attach_units(func(strip_units(data_array)), units)

#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/tests/test_units.py#x1B[0m:2409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/tests/test_units.py#x1B[0m:367: in __call__
    return self.func(*all_args, **all_kwargs)
#x1B[1m#x1B[31m<__array_function__ internals>#x1B[0m:200: in all
    ???
#x1B[1m#x1B[31m/home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/core/fromnumeric.py#x1B[0m:2515: in all
    return _wrapreduction(a, np.logical_and, 'all', axis, None, out,
#x1B[1m#x1B[31m/home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/core/fromnumeric.py#x1B[0m:84: in _wrapreduction
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/_aggregations.py#x1B[0m:2676: in all
    return self.reduce(
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/dataarray.py#x1B[0m:3875: in reduce
    var = self.variable.reduce(func, dim, axis, keep_attrs, keepdims, **kwargs)
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <xarray.Variable (x: 10)> Size: 80B
array([0., 1., 2., 3., 4., 5., 6., 7., 8., 9.])
func = <function array_all at 0x7f5a7873b760>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_all() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/namedarray/core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_units.TestDataArray

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 2 runs failed: test_aggregation[float64-function_any] (xarray.tests.test_units.TestDataArray)

artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_units.TestDataArray object at 0x7f5a4917a4d0>
func = function_any, dtype = dtype('float64')

    @pytest.mark.parametrize(
        "func",
        (
            function("all"),
            function("any"),
            pytest.param(
                function("argmax"),
                marks=pytest.mark.skip(
                    reason="calling np.argmax as a function on xarray objects is not "
                    "supported"
                ),
            ),
            pytest.param(
                function("argmin"),
                marks=pytest.mark.skip(
                    reason="calling np.argmin as a function on xarray objects is not "
                    "supported"
                ),
            ),
            function("max"),
            function("mean"),
            pytest.param(
                function("median"),
                marks=pytest.mark.skip(
                    reason="median does not work with dataarrays yet"
                ),
            ),
            function("min"),
            function("prod"),
            function("sum"),
            function("std"),
            function("var"),
            function("cumsum"),
            function("cumprod"),
            method("all"),
            method("any"),
            method("argmax", dim="x"),
            method("argmin", dim="x"),
            method("max"),
            method("mean"),
            method("median"),
            method("min"),
            method("prod"),
            method("sum"),
            method("std"),
            method("var"),
            method("cumsum"),
            method("cumprod"),
        ),
        ids=repr,
    )
    def test_aggregation(self, func, dtype):
        array = np.arange(10).astype(dtype) * (
            unit_registry.m if func.name != "cumprod" else unit_registry.dimensionless
        )
        data_array = xr.DataArray(data=array, dims="x")
    
        numpy_kwargs = func.kwargs.copy()
        if "dim" in numpy_kwargs:
            numpy_kwargs["axis"] = data_array.get_axis_num(numpy_kwargs.pop("dim"))
    
        # units differ based on the applied function, so we need to
        # first compute the units
        units = extract_units(func(array))
>       expected = attach_units(func(strip_units(data_array)), units)

#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/tests/test_units.py#x1B[0m:2409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/tests/test_units.py#x1B[0m:367: in __call__
    return self.func(*all_args, **all_kwargs)
#x1B[1m#x1B[31m<__array_function__ internals>#x1B[0m:200: in any
    ???
#x1B[1m#x1B[31m/home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/core/fromnumeric.py#x1B[0m:2423: in any
    return _wrapreduction(a, np.logical_or, 'any', axis, None, out,
#x1B[1m#x1B[31m/home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/core/fromnumeric.py#x1B[0m:84: in _wrapreduction
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/_aggregations.py#x1B[0m:2742: in any
    return self.reduce(
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/dataarray.py#x1B[0m:3875: in reduce
    var = self.variable.reduce(func, dim, axis, keep_attrs, keepdims, **kwargs)
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <xarray.Variable (x: 10)> Size: 80B
array([0., 1., 2., 3., 4., 5., 6., 7., 8., 9.])
func = <function array_any at 0x7f5a7873b7f0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/namedarray/core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_units.TestDataArray

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 2 runs failed: test_aggregation[int64-function_all] (xarray.tests.test_units.TestDataArray)

artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
Raw output
TypeError: array_all() got an unexpected keyword argument 'out'
self = <xarray.tests.test_units.TestDataArray object at 0x7fd0974601f0>
func = function_all, dtype = dtype('int64')

    @pytest.mark.parametrize(
        "func",
        (
            function("all"),
            function("any"),
            pytest.param(
                function("argmax"),
                marks=pytest.mark.skip(
                    reason="calling np.argmax as a function on xarray objects is not "
                    "supported"
                ),
            ),
            pytest.param(
                function("argmin"),
                marks=pytest.mark.skip(
                    reason="calling np.argmin as a function on xarray objects is not "
                    "supported"
                ),
            ),
            function("max"),
            function("mean"),
            pytest.param(
                function("median"),
                marks=pytest.mark.skip(
                    reason="median does not work with dataarrays yet"
                ),
            ),
            function("min"),
            function("prod"),
            function("sum"),
            function("std"),
            function("var"),
            function("cumsum"),
            function("cumprod"),
            method("all"),
            method("any"),
            method("argmax", dim="x"),
            method("argmin", dim="x"),
            method("max"),
            method("mean"),
            method("median"),
            method("min"),
            method("prod"),
            method("sum"),
            method("std"),
            method("var"),
            method("cumsum"),
            method("cumprod"),
        ),
        ids=repr,
    )
    def test_aggregation(self, func, dtype):
        array = np.arange(10).astype(dtype) * (
            unit_registry.m if func.name != "cumprod" else unit_registry.dimensionless
        )
        data_array = xr.DataArray(data=array, dims="x")
    
        numpy_kwargs = func.kwargs.copy()
        if "dim" in numpy_kwargs:
            numpy_kwargs["axis"] = data_array.get_axis_num(numpy_kwargs.pop("dim"))
    
        # units differ based on the applied function, so we need to
        # first compute the units
        units = extract_units(func(array))
>       expected = attach_units(func(strip_units(data_array)), units)

#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/tests/test_units.py#x1B[0m:2409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/tests/test_units.py#x1B[0m:367: in __call__
    return self.func(*all_args, **all_kwargs)
#x1B[1m#x1B[31m<__array_function__ internals>#x1B[0m:200: in all
    ???
#x1B[1m#x1B[31m/home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/core/fromnumeric.py#x1B[0m:2515: in all
    return _wrapreduction(a, np.logical_and, 'all', axis, None, out,
#x1B[1m#x1B[31m/home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/core/fromnumeric.py#x1B[0m:84: in _wrapreduction
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/_aggregations.py#x1B[0m:2676: in all
    return self.reduce(
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/dataarray.py#x1B[0m:3875: in reduce
    var = self.variable.reduce(func, dim, axis, keep_attrs, keepdims, **kwargs)
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <xarray.Variable (x: 10)> Size: 80B
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
func = <function array_all at 0x7fd0cea83760>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_all() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/namedarray/core.py#x1B[0m:921: TypeError

Check warning on line 0 in xarray.tests.test_units.TestDataArray

See this annotation in the file changed.

@github-actions github-actions / Test Results

All 2 runs failed: test_aggregation[int64-function_any] (xarray.tests.test_units.TestDataArray)

artifacts/Test results for Linux-3.10 min-all-deps/pytest.xml [took 0s]
artifacts/Test results for Linux-3.11 all-but-dask/pytest.xml [took 0s]
Raw output
TypeError: array_any() got an unexpected keyword argument 'out'
self = <xarray.tests.test_units.TestDataArray object at 0x7fd0974602b0>
func = function_any, dtype = dtype('int64')

    @pytest.mark.parametrize(
        "func",
        (
            function("all"),
            function("any"),
            pytest.param(
                function("argmax"),
                marks=pytest.mark.skip(
                    reason="calling np.argmax as a function on xarray objects is not "
                    "supported"
                ),
            ),
            pytest.param(
                function("argmin"),
                marks=pytest.mark.skip(
                    reason="calling np.argmin as a function on xarray objects is not "
                    "supported"
                ),
            ),
            function("max"),
            function("mean"),
            pytest.param(
                function("median"),
                marks=pytest.mark.skip(
                    reason="median does not work with dataarrays yet"
                ),
            ),
            function("min"),
            function("prod"),
            function("sum"),
            function("std"),
            function("var"),
            function("cumsum"),
            function("cumprod"),
            method("all"),
            method("any"),
            method("argmax", dim="x"),
            method("argmin", dim="x"),
            method("max"),
            method("mean"),
            method("median"),
            method("min"),
            method("prod"),
            method("sum"),
            method("std"),
            method("var"),
            method("cumsum"),
            method("cumprod"),
        ),
        ids=repr,
    )
    def test_aggregation(self, func, dtype):
        array = np.arange(10).astype(dtype) * (
            unit_registry.m if func.name != "cumprod" else unit_registry.dimensionless
        )
        data_array = xr.DataArray(data=array, dims="x")
    
        numpy_kwargs = func.kwargs.copy()
        if "dim" in numpy_kwargs:
            numpy_kwargs["axis"] = data_array.get_axis_num(numpy_kwargs.pop("dim"))
    
        # units differ based on the applied function, so we need to
        # first compute the units
        units = extract_units(func(array))
>       expected = attach_units(func(strip_units(data_array)), units)

#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/tests/test_units.py#x1B[0m:2409: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/tests/test_units.py#x1B[0m:367: in __call__
    return self.func(*all_args, **all_kwargs)
#x1B[1m#x1B[31m<__array_function__ internals>#x1B[0m:200: in any
    ???
#x1B[1m#x1B[31m/home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/core/fromnumeric.py#x1B[0m:2423: in any
    return _wrapreduction(a, np.logical_or, 'any', axis, None, out,
#x1B[1m#x1B[31m/home/runner/micromamba/envs/xarray-tests/lib/python3.10/site-packages/numpy/core/fromnumeric.py#x1B[0m:84: in _wrapreduction
    return reduction(axis=axis, out=out, **passkwargs)
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/_aggregations.py#x1B[0m:2742: in any
    return self.reduce(
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/dataarray.py#x1B[0m:3875: in reduce
    var = self.variable.reduce(func, dim, axis, keep_attrs, keepdims, **kwargs)
#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/core/variable.py#x1B[0m:1714: in reduce
    result = super().reduce(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <xarray.Variable (x: 10)> Size: 80B
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
func = <function array_any at 0x7fd0cea837f0>, dim = None, axis = None
keepdims = False, kwargs = {'out': None}

    def reduce(
        self,
        func: Callable[..., Any],
        dim: Dims = None,
        axis: int | Sequence[int] | None = None,
        keepdims: bool = False,
        **kwargs: Any,
    ) -> NamedArray[Any, Any]:
        """Reduce this array by applying `func` along some dimension(s).
    
        Parameters
        ----------
        func : callable
            Function which can be called in the form
            `func(x, axis=axis, **kwargs)` to return the result of reducing an
            np.ndarray over an integer valued axis.
        dim : "...", str, Iterable of Hashable or None, optional
            Dimension(s) over which to apply `func`. By default `func` is
            applied over all dimensions.
        axis : int or Sequence of int, optional
            Axis(es) over which to apply `func`. Only one of the 'dim'
            and 'axis' arguments can be supplied. If neither are supplied, then
            the reduction is calculated over the flattened array (by calling
            `func(x)` without an axis argument).
        keepdims : bool, default: False
            If True, the dimensions which are reduced are left in the result
            as dimensions of size one
        **kwargs : dict
            Additional keyword arguments passed on to `func`.
    
        Returns
        -------
        reduced : Array
            Array with summarized data and the indicated dimension(s)
            removed.
        """
        if dim == ...:
            dim = None
        if dim is not None and axis is not None:
            raise ValueError("cannot supply both 'axis' and 'dim' arguments")
    
        if dim is not None:
            axis = self.get_axis_num(dim)
    
        with warnings.catch_warnings():
            warnings.filterwarnings(
                "ignore", r"Mean of empty slice", category=RuntimeWarning
            )
            if axis is not None:
                if isinstance(axis, tuple) and len(axis) == 1:
                    # unpack axis for the benefit of functions
                    # like np.argmin which can't handle tuple arguments
                    axis = axis[0]
                data = func(self.data, axis=axis, **kwargs)
            else:
>               data = func(self.data, **kwargs)
#x1B[1m#x1B[31mE               TypeError: array_any() got an unexpected keyword argument 'out'#x1B[0m

#x1B[1m#x1B[31m/home/runner/work/xarray/xarray/xarray/namedarray/core.py#x1B[0m:921: TypeError

Check notice on line 0 in .github

See this annotation in the file changed.

@github-actions github-actions / Test Results

2318 skipped tests found (test 1 to 573)

There are 2318 skipped tests, see "Raw output" for the list of skipped tests 1 to 573.
Raw output
properties.test_encode_decode
properties.test_encode_decode ‑ test_CFMask_coder_decode
properties.test_index_manipulation
properties.test_index_manipulation ‑ test_unstack_object
properties.test_index_manipulation ‑ test_unstack_timedelta_index
properties.test_index_manipulation.DatasetTest ‑ runTest
properties.test_pandas_roundtrip
properties.test_pandas_roundtrip ‑ test_roundtrip_pandas_dataframe
properties.test_properties
xarray.tests.test_array_api
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-True-None-None]
xarray.tests.test_backends ‑ test_pickle_open_mfdataset_dataset[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_append_chunk_partial[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_closing_internal_zip_store[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_region[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_region_chunk_partial[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_region_chunk_partial_offset[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_safe_chunk_append_dim[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_safe_chunk_region[default_zarr_version0]
xarray.tests.test_backends.TestDask ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestEncodingInvalid ‑ test_extract_h5nc_encoding
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_roundtrip_mask_and_scale[dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_roundtrip_mask_and_scale[dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFData ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestH5NetCDFData ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestH5NetCDFData ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFData ‑ test_roundtrip_mask_and_scale[dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFData ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFData ‑ test_roundtrip_mask_and_scale[dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFFileObject ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestH5NetCDFFileObject ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestH5NetCDFFileObject ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFFileObject ‑ test_roundtrip_mask_and_scale[dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFFileObject ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFFileObject ‑ test_roundtrip_mask_and_scale[dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFViaDaskData ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestH5NetCDFViaDaskData ‑ test_dataset_caching
xarray.tests.test_backends.TestH5NetCDFViaDaskData ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestH5NetCDFViaDaskData ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFViaDaskData ‑ test_roundtrip_mask_and_scale[dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFViaDaskData ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestH5NetCDFViaDaskData ‑ test_roundtrip_mask_and_scale[dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF3ViaNetCDF4Data ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestNetCDF3ViaNetCDF4Data ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestNetCDF3ViaNetCDF4Data ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF3ViaNetCDF4Data ‑ test_roundtrip_mask_and_scale[dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF3ViaNetCDF4Data ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF3ViaNetCDF4Data ‑ test_roundtrip_mask_and_scale[dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF4ClassicViaNetCDF4Data ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestNetCDF4ClassicViaNetCDF4Data ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestNetCDF4ClassicViaNetCDF4Data ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF4ClassicViaNetCDF4Data ‑ test_roundtrip_mask_and_scale[dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF4ClassicViaNetCDF4Data ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF4ClassicViaNetCDF4Data ‑ test_roundtrip_mask_and_scale[dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF4Data ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestNetCDF4Data ‑ test_refresh_from_disk
xarray.tests.test_backends.TestNetCDF4Data ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestNetCDF4Data ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF4Data ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF4ViaDaskData ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestNetCDF4ViaDaskData ‑ test_dataset_caching
xarray.tests.test_backends.TestNetCDF4ViaDaskData ‑ test_refresh_from_disk
xarray.tests.test_backends.TestNetCDF4ViaDaskData ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestNetCDF4ViaDaskData ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestNetCDF4ViaDaskData ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestScipyFileObject ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestScipyFileObject ‑ test_pickle
xarray.tests.test_backends.TestScipyFileObject ‑ test_pickle_dataarray
xarray.tests.test_backends.TestScipyFileObject ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestScipyFileObject ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestScipyFileObject ‑ test_roundtrip_mask_and_scale[dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestScipyFileObject ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestScipyFileObject ‑ test_roundtrip_mask_and_scale[dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestScipyFilePath ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestScipyFilePath ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestScipyFilePath ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestScipyFilePath ‑ test_roundtrip_mask_and_scale[dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestScipyFilePath ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestScipyFilePath ‑ test_roundtrip_mask_and_scale[dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestScipyInMemoryData ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestScipyInMemoryData ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestScipyInMemoryData ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestScipyInMemoryData ‑ test_roundtrip_mask_and_scale[dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestScipyInMemoryData ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestScipyInMemoryData ‑ test_roundtrip_mask_and_scale[dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_overwrite_values[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_string_length_mismatch_raises[default_zarr_version0-S]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_string_length_mismatch_raises[default_zarr_version0-U]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_string_length_mismatch_works[2-S]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_string_length_mismatch_works[2-U]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_string_length_mismatch_works[default_zarr_version0-S]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_string_length_mismatch_works[default_zarr_version0-U]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_with_append_dim_no_overwrite[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_with_append_dim_not_set_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_with_existing_encoding_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_with_invalid_dim_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_with_mode_not_a_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_with_mode_rplus_fails[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_with_mode_rplus_success[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_with_new_variable[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_with_no_dims_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_append_write[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_array_type_after_indexing[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_attributes[default_zarr_version0-obj0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_attributes[default_zarr_version0-obj1]
xarray.tests.test_backends.TestZarrDictStore ‑ test_auto_chunk[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_check_encoding_is_consistent_after_append[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_chunk_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_chunk_encoding_with_dask[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_chunk_encoding_with_larger_dask_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_chunk_encoding_with_partial_dask_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_chunked_cftime_datetime[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_chunked_datetime64_or_timedelta64[default_zarr_version0-datetime64[ns]]
xarray.tests.test_backends.TestZarrDictStore ‑ test_chunked_datetime64_or_timedelta64[default_zarr_version0-timedelta64[ns]]
xarray.tests.test_backends.TestZarrDictStore ‑ test_compressor_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_coordinate_variables_after_dataset_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_coordinate_variables_after_iris_roundtrip[2]
xarray.tests.test_backends.TestZarrDictStore ‑ test_coordinate_variables_after_iris_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_coordinates_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_dataset_caching[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_dataset_compute[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_default_fill_value[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_deprecate_auto_chunk[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_dimension_names[2]
xarray.tests.test_backends.TestZarrDictStore ‑ test_dimension_names[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_drop_encoding[2]
xarray.tests.test_backends.TestZarrDictStore ‑ test_drop_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_dropna[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_encoding_chunksizes[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_encoding_kwarg[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_encoding_kwarg_dates[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_encoding_kwarg_fixed_width_string[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_encoding_same_dtype[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_explicitly_omit_fill_value[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_explicitly_omit_fill_value_in_coord[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_explicitly_omit_fill_value_in_coord_via_encoding_kwarg[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_explicitly_omit_fill_value_via_encoding_kwarg[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_grid_mapping_and_bounds_are_coordinates_after_dataarray_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_grid_mapping_and_bounds_are_not_coordinates_in_file[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_group[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_hidden_zarr_keys[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_invalid_dataarray_names_raise[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_isel_dataarray[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_load[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_manual_chunk[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_multiindex_not_implemented[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_no_warning_from_open_emptydim_with_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_non_existent_store[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_ondisk_after_print[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_open_zarr_use_cftime[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_orthogonal_indexing[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_outer_indexing_reversed[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_pickle[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_pickle_dataarray[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_read_non_consolidated_warning[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_None_variable[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_boolean_dtype[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_bytes_with_fill_value[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_cftime_datetime_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_consolidated[default_zarr_version0-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_consolidated[default_zarr_version0-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_consolidated[default_zarr_version0-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_coordinates[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_coordinates_with_space[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_empty_vlen_string_array[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_endian[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_example_1_netcdf[2]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_example_1_netcdf[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_float64_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_global_coordinates[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[2-dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[2-dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[2-dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[2-dtype1-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[2-dtype1-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[2-dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[2-dtype1-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_numpy_datetime_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_object_dtype[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_string_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_string_encoded_characters[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_string_with_fill_value_nchar[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_test_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_timedelta_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_unsigned[default_zarr_version0--1-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_unsigned[default_zarr_version0-255-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_unsigned[default_zarr_version0-fill_value0-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_roundtrip_unsigned[default_zarr_version0-fill_value1-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_save_emptydim[default_zarr_version0-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_save_emptydim[default_zarr_version0-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_string_object_warning[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_to_zarr_append_compute_false_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_to_zarr_compute_false_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_vectorized_indexing[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_vectorized_indexing_negative_step[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_warning_on_bad_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_with_chunkstore[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_persistence_modes[default_zarr_version0-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_persistence_modes[default_zarr_version0-group1]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_preexisting_override_metadata[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_read_select_write[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-False-False-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-False-False-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-False-False-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-False-True-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-False-True-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-False-True-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-True-False-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-True-False-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-True-False-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-True-True-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-True-True-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-False-True-True-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-False-False-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-False-False-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-False-False-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-False-True-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-False-True-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-False-True-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-True-False-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-True-False-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-True-False-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-True-True-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-True-True-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-None-True-True-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-False-False-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-False-False-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-False-False-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-False-True-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-False-True-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-False-True-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-True-False-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-True-False-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-True-False-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-True-True-False]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-True-True-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region[default_zarr_version0-True-True-True-True]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region_errors[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region_mode[default_zarr_version0-None]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region_mode[default_zarr_version0-a]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_region_mode[default_zarr_version0-r+]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_store[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_write_uneven_dask_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_zarr_mode_w_overwrites_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrDictStore ‑ test_zero_dimensional_variable[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_overwrite_values[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_string_length_mismatch_raises[default_zarr_version0-S]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_string_length_mismatch_raises[default_zarr_version0-U]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_string_length_mismatch_works[2-S]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_string_length_mismatch_works[2-U]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_string_length_mismatch_works[default_zarr_version0-S]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_string_length_mismatch_works[default_zarr_version0-U]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_with_append_dim_no_overwrite[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_with_append_dim_not_set_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_with_existing_encoding_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_with_invalid_dim_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_with_mode_not_a_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_with_mode_rplus_fails[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_with_mode_rplus_success[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_with_new_variable[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_with_no_dims_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_append_write[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_array_type_after_indexing[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_attributes[default_zarr_version0-obj0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_attributes[default_zarr_version0-obj1]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_auto_chunk[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_check_encoding_is_consistent_after_append[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_chunk_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_chunk_encoding_with_dask[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_chunk_encoding_with_larger_dask_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_chunk_encoding_with_partial_dask_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_chunked_cftime_datetime[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_chunked_datetime64_or_timedelta64[default_zarr_version0-datetime64[ns]]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_chunked_datetime64_or_timedelta64[default_zarr_version0-timedelta64[ns]]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_compressor_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_coordinate_variables_after_dataset_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_coordinate_variables_after_iris_roundtrip[2]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_coordinate_variables_after_iris_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_coordinates_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_dataset_caching[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_dataset_compute[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_default_fill_value[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_deprecate_auto_chunk[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_dimension_names[2]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_dimension_names[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_drop_encoding[2]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_drop_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_dropna[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_encoding_chunksizes[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_encoding_kwarg[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_encoding_kwarg_dates[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_encoding_kwarg_fixed_width_string[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_encoding_same_dtype[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_explicitly_omit_fill_value[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_explicitly_omit_fill_value_in_coord[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_explicitly_omit_fill_value_in_coord_via_encoding_kwarg[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_explicitly_omit_fill_value_via_encoding_kwarg[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_grid_mapping_and_bounds_are_coordinates_after_dataarray_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_grid_mapping_and_bounds_are_not_coordinates_in_file[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_group[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_hidden_zarr_keys[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_invalid_dataarray_names_raise[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_isel_dataarray[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_load[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_manual_chunk[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_multiindex_not_implemented[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_no_warning_from_open_emptydim_with_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_non_existent_store[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_ondisk_after_print[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_open_zarr_use_cftime[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_orthogonal_indexing[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_outer_indexing_reversed[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_pickle[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_pickle_dataarray[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_read_non_consolidated_warning[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_None_variable[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_boolean_dtype[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_bytes_with_fill_value[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_cftime_datetime_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_consolidated[default_zarr_version0-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_consolidated[default_zarr_version0-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_consolidated[default_zarr_version0-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_coordinates[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_coordinates_with_space[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_empty_vlen_string_array[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_endian[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_example_1_netcdf[2]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_example_1_netcdf[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_float64_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_global_coordinates[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[2-dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[2-dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[2-dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[2-dtype1-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[2-dtype1-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[2-dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[2-dtype1-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_numpy_datetime_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_object_dtype[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_string_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_string_encoded_characters[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_string_with_fill_value_nchar[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_test_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_timedelta_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_unsigned[default_zarr_version0--1-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_unsigned[default_zarr_version0-255-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_unsigned[default_zarr_version0-fill_value0-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_roundtrip_unsigned[default_zarr_version0-fill_value1-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_save_emptydim[default_zarr_version0-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_save_emptydim[default_zarr_version0-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_string_object_warning[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_to_zarr_append_compute_false_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_to_zarr_compute_false_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_vectorized_indexing[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_vectorized_indexing_negative_step[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_warning_on_bad_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_with_chunkstore[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_persistence_modes[default_zarr_version0-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_persistence_modes[default_zarr_version0-group1]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_preexisting_override_metadata[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_read_select_write[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-False-False-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-False-False-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-False-False-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-False-True-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-False-True-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-False-True-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-True-False-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-True-False-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-True-False-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-True-True-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-True-True-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-False-True-True-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-False-False-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-False-False-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-False-False-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-False-True-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-False-True-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-False-True-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-True-False-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-True-False-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-True-False-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-True-True-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-True-True-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-None-True-True-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-False-False-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-False-False-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-False-False-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-False-True-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-False-True-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-False-True-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-True-False-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-True-False-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-True-False-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-True-True-False]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-True-True-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region[default_zarr_version0-True-True-True-True]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region_errors[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region_mode[default_zarr_version0-None]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region_mode[default_zarr_version0-a]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_region_mode[default_zarr_version0-r+]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_store[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_write_uneven_dask_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_zarr_mode_w_overwrites_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrDirectoryStore ‑ test_zero_dimensional_variable[default_zarr_version0]
xarray.tests.test_backends.TestZarrRegionAuto ‑ test_zarr_region_append[default_zarr_version0]
xarray.tests.test_backends.TestZarrRegionAuto ‑ test_zarr_region_auto_all[default_zarr_version0]
xarray.tests.test_backends.TestZarrRegionAuto ‑ test_zarr_region_auto_mixed[default_zarr_version0]
xarray.tests.test_backends.TestZarrRegionAuto ‑ test_zarr_region_auto_new_coord_vals[default_zarr_version0]
xarray.tests.test_backends.TestZarrRegionAuto ‑ test_zarr_region_auto_noncontiguous[default_zarr_version0]
xarray.tests.test_backends.TestZarrRegionAuto ‑ test_zarr_region_index_write[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_overwrite_values[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_string_length_mismatch_raises[default_zarr_version0-S]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_string_length_mismatch_raises[default_zarr_version0-U]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_string_length_mismatch_works[2-S]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_string_length_mismatch_works[2-U]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_string_length_mismatch_works[default_zarr_version0-S]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_string_length_mismatch_works[default_zarr_version0-U]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_with_append_dim_no_overwrite[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_with_append_dim_not_set_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_with_existing_encoding_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_with_invalid_dim_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_with_mode_not_a_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_with_mode_rplus_fails[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_with_mode_rplus_success[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_with_new_variable[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_with_no_dims_raises[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_append_write[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_array_type_after_indexing[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_attributes[default_zarr_version0-obj0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_attributes[default_zarr_version0-obj1]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_auto_chunk[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_avoid_excess_metadata_calls[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_check_encoding_is_consistent_after_append[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_chunk_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_chunk_encoding_with_dask[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_chunk_encoding_with_larger_dask_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_chunk_encoding_with_partial_dask_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_chunked_cftime_datetime[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_chunked_datetime64_or_timedelta64[default_zarr_version0-datetime64[ns]]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_chunked_datetime64_or_timedelta64[default_zarr_version0-timedelta64[ns]]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_compressor_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_coordinate_variables_after_dataset_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_coordinate_variables_after_iris_roundtrip[2]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_coordinate_variables_after_iris_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_coordinates_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_dataset_caching[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_dataset_compute[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_default_fill_value[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_deprecate_auto_chunk[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_dimension_names[2]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_dimension_names[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_drop_encoding[2]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_drop_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_dropna[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_encoding_chunksizes[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_encoding_kwarg[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_encoding_kwarg_dates[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_encoding_kwarg_fixed_width_string[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_encoding_same_dtype[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_explicitly_omit_fill_value[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_explicitly_omit_fill_value_in_coord[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_explicitly_omit_fill_value_in_coord_via_encoding_kwarg[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_explicitly_omit_fill_value_via_encoding_kwarg[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_grid_mapping_and_bounds_are_coordinates_after_dataarray_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_grid_mapping_and_bounds_are_not_coordinates_in_file[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_group[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_hidden_zarr_keys[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_invalid_dataarray_names_raise[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_isel_dataarray[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_load[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_manual_chunk[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_multiindex_not_implemented[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_no_warning_from_open_emptydim_with_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_non_existent_store[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_ondisk_after_print[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_open_zarr_use_cftime[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_orthogonal_indexing[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_outer_indexing_reversed[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_pickle[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_pickle_dataarray[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_read_non_consolidated_warning[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_None_variable[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_boolean_dtype[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_bytes_with_fill_value[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_cftime_datetime_data[default_zarr_version0]

Check notice on line 0 in .github

See this annotation in the file changed.

@github-actions github-actions / Test Results

2318 skipped tests found (test 574 to 1283)

There are 2318 skipped tests, see "Raw output" for the list of skipped tests 574 to 1283.
Raw output
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_consolidated[default_zarr_version0-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_consolidated[default_zarr_version0-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_consolidated[default_zarr_version0-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_coordinates[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_coordinates_with_space[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_empty_vlen_string_array[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_endian[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_example_1_netcdf[2]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_example_1_netcdf[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_float64_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_global_coordinates[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[2-dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[2-dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[2-dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[2-dtype1-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[2-dtype1-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[2-dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[2-dtype1-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype0-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_mask_and_scale[default_zarr_version0-dtype1-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_numpy_datetime_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_object_dtype[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_string_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_string_encoded_characters[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_string_with_fill_value_nchar[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_test_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_timedelta_data[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_unsigned[default_zarr_version0--1-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_unsigned[default_zarr_version0-255-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_unsigned[default_zarr_version0-fill_value0-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_roundtrip_unsigned[default_zarr_version0-fill_value1-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_save_emptydim[default_zarr_version0-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_save_emptydim[default_zarr_version0-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_string_object_warning[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_to_zarr_append_compute_false_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_to_zarr_compute_false_roundtrip[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_vectorized_indexing[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_vectorized_indexing_negative_step[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_warning_on_bad_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_with_chunkstore[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_empty[default_zarr_version0-False-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_empty[default_zarr_version0-False-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_empty[default_zarr_version0-False-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_empty[default_zarr_version0-None-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_empty[default_zarr_version0-None-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_empty[default_zarr_version0-None-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_empty[default_zarr_version0-True-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_empty[default_zarr_version0-True-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_empty[default_zarr_version0-True-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_persistence_modes[default_zarr_version0-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_persistence_modes[default_zarr_version0-group1]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_preexisting_override_metadata[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_read_select_write[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-False-False-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-False-False-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-False-False-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-False-True-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-False-True-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-False-True-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-True-False-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-True-False-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-True-False-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-True-True-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-True-True-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-False-True-True-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-False-False-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-False-False-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-False-False-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-False-True-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-False-True-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-False-True-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-True-False-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-True-False-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-True-False-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-True-True-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-True-True-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-None-True-True-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-False-False-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-False-False-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-False-False-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-False-True-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-False-True-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-False-True-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-True-False-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-True-False-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-True-False-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-True-True-False]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-True-True-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region[default_zarr_version0-True-True-True-True]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region_errors[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region_mode[default_zarr_version0-None]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region_mode[default_zarr_version0-a]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_region_mode[default_zarr_version0-r+]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_store[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_write_uneven_dask_chunks[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_zarr_mode_w_overwrites_encoding[default_zarr_version0]
xarray.tests.test_backends.TestZarrWriteEmpty ‑ test_zero_dimensional_variable[default_zarr_version0]
xarray.tests.test_calendar_ops
xarray.tests.test_cftime_offsets
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1ME-2000-2000]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1ME-2000-2001]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1ME-2001-2000]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1ME-2001-2001]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1MS-2000-2000]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1MS-2000-2001]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1MS-2001-2000]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1MS-2001-2001]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1YE-2000-2000]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1YE-2000-2001]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1YE-2001-2000]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1YE-2001-2001]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1YS-2000-2000]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1YS-2000-2001]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1YS-2001-2000]
xarray.tests.test_cftime_offsets ‑ test_cftime_range_same_as_pandas[-1YS-2001-2001]
xarray.tests.test_cftimeindex ‑ test_cftimeindex_calendar_property[gregorian-]
xarray.tests.test_cftimeindex ‑ test_cftimeindex_calendar_property[standard-]
xarray.tests.test_cftimeindex ‑ test_cftimeindex_calendar_repr[gregorian-]
xarray.tests.test_cftimeindex ‑ test_cftimeindex_calendar_repr[standard-]
xarray.tests.test_cftimeindex ‑ test_cftimeindex_repr_formatting[101-CFTimeIndex([2000-01-01 00:00:00, 2000-01-02 00:00:00, 2000-01-03 00:00:00,\n             2000-01-04 00:00:00, 2000-01-05 00:00:00, 2000-01-06 00:00:00,\n             2000-01-07 00:00:00, 2000-01-08 00:00:00, 2000-01-09 00:00:00,\n             2000-01-10 00:00:00,\n             ...\n             2000-04-01 00:00:00, 2000-04-02 00:00:00, 2000-04-03 00:00:00,\n             2000-04-04 00:00:00, 2000-04-05 00:00:00, 2000-04-06 00:00:00,\n             2000-04-07 00:00:00, 2000-04-08 00:00:00, 2000-04-09 00:00:00,\n             2000-04-10 00:00:00],\n            dtype='object', length=101, calendar='', freq='D')]
xarray.tests.test_cftimeindex ‑ test_cftimeindex_repr_formatting[2-CFTimeIndex([2000-01-01 00:00:00, 2000-01-02 00:00:00],\n            dtype='object', length=2, calendar='', freq=None)]
xarray.tests.test_cftimeindex ‑ test_cftimeindex_repr_formatting[4-CFTimeIndex([2000-01-01 00:00:00, 2000-01-02 00:00:00, 2000-01-03 00:00:00,\n             2000-01-04 00:00:00],\n            dtype='object', length=4, calendar='', freq='D')]
xarray.tests.test_cftimeindex_resample
xarray.tests.test_coarsen ‑ test_coarsen_da_reduce[dask-max-1-2]
xarray.tests.test_coarsen ‑ test_coarsen_da_reduce[dask-mean-1-2]
xarray.tests.test_coarsen ‑ test_coarsen_da_reduce[dask-std-1-2]
xarray.tests.test_coarsen ‑ test_coarsen_da_reduce[dask-sum-1-2]
xarray.tests.test_coarsen ‑ test_coarsen_da_reduce[numpy-max-1-2]
xarray.tests.test_coarsen ‑ test_coarsen_da_reduce[numpy-mean-1-2]
xarray.tests.test_coarsen ‑ test_coarsen_da_reduce[numpy-std-1-2]
xarray.tests.test_coarsen ‑ test_coarsen_da_reduce[numpy-sum-1-2]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-D-nanoseconds]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-h-nanoseconds]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-min-nanoseconds]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-ms-nanoseconds]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-ns-days]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-ns-hours]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-ns-microseconds]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-ns-milliseconds]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-ns-minutes]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-ns-nanoseconds]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-ns-seconds]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-s-nanoseconds]
xarray.tests.test_coding_times ‑ test_encode_cf_datetime_defaults_to_correct_dtype[cftime_range-us-nanoseconds]
xarray.tests.test_combine.TestNestedCombine ‑ test_nested_concat_too_many_dims_at_once
xarray.tests.test_conventions.TestCFEncodedDataStore ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_conventions.TestCFEncodedDataStore ‑ test_roundtrip_coordinates
xarray.tests.test_conventions.TestCFEncodedDataStore ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_conventions.TestCFEncodedDataStore ‑ test_roundtrip_mask_and_scale[dtype0-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_conventions.TestCFEncodedDataStore ‑ test_roundtrip_mask_and_scale[dtype0-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_conventions.TestCFEncodedDataStore ‑ test_roundtrip_mask_and_scale[dtype1-create_bad_unsigned_masked_scaled_data-create_bad_encoded_unsigned_masked_scaled_data]
xarray.tests.test_conventions.TestCFEncodedDataStore ‑ test_roundtrip_mask_and_scale[dtype1-create_unsigned_false_masked_scaled_data-create_encoded_unsigned_false_masked_scaled_data]
xarray.tests.test_cupy
xarray.tests.test_dask
xarray.tests.test_dask.TestToDaskDataFrame ‑ test_to_dask_dataframe_2D_set_index
xarray.tests.test_dataarray.TestDataArray ‑ test_copy_coords[False-expected_orig1]
xarray.tests.test_dataarray.TestNumpyCoercion ‑ test_from_cupy
xarray.tests.test_dataarray.TestReduce1D ‑ test_idxmax[True-datetime]
xarray.tests.test_dataarray.TestReduce1D ‑ test_idxmin[True-datetime]
xarray.tests.test_dataarray.TestReduce2D ‑ test_idxmax[dask-datetime]
xarray.tests.test_dataarray.TestReduce2D ‑ test_idxmin[dask-datetime]
xarray.tests.test_dataset.TestDataset ‑ test_copy_coords[False-expected_orig1]
xarray.tests.test_dataset.TestNumpyCoercion ‑ test_from_cupy
xarray.tests.test_datatree.TestCopy ‑ test_copy_with_data
xarray.tests.test_datatree.TestGetItem ‑ test_getitem_dict_like_selection_access_to_dataset
xarray.tests.test_datatree.TestGetItem ‑ test_getitem_multiple_data_variables
xarray.tests.test_datatree.TestSetItem ‑ test_setitem_dataset_on_this_node
xarray.tests.test_datatree.TestUFuncs ‑ test_tree
xarray.tests.test_datatree_mapping.TestMapOverSubTree ‑ test_trees_with_different_node_names
xarray.tests.test_distributed
xarray.tests.test_distributed ‑ test_open_mfdataset_multiple_files_parallel[True]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-False-True-str-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-max-True-True-str-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-False-True-str-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-False-min-True-True-str-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-False-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-False-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-False-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-False-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-False-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-False-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-True-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-True-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-True-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-True-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-True-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-max-True-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-False-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-False-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-False-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-False-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-False-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-False-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-True-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-True-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-True-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-True-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-True-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[x-True-min-True-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-False-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-False-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-False-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-False-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-False-True-str-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-False-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-False-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-False-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-False-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-max-True-True-str-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-False-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-False-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-False-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-False-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-False-True-str-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-False-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-False-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-False-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-False-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-False-min-True-True-str-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-False-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-False-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-False-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-False-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-False-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-False-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-False-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-False-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-False-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-max-True-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-False-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-False-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-False-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-False-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-False-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-False-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-False-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-False-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-False-str-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-True-float-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-True-float-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-True-float32-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-True-float32-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-True-int-1]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-True-int-2]
xarray.tests.test_duck_array_ops ‑ test_argmin_max[y-True-min-True-True-str-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-max-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-max-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-max-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-max-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-mean-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-mean-False-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-mean-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-mean-False-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-mean-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-mean-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-mean-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-mean-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-min-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-min-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-min-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-min-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-sum-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-sum-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-sum-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-sum-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-var-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-var-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-var-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-False-var-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-True-mean-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-True-mean-False-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-True-mean-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-True-mean-False-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-True-mean-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-True-mean-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-True-mean-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[None-True-mean-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-max-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-max-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-max-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-max-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-mean-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-mean-False-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-mean-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-mean-False-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-mean-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-mean-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-mean-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-mean-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-min-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-min-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-min-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-min-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-sum-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-sum-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-sum-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-sum-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-var-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-var-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-var-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-False-var-True-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-True-mean-False-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-True-mean-False-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-True-mean-False-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-True-mean-False-bool_-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-True-mean-True-bool-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-True-mean-True-bool-2]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-True-mean-True-bool_-1]
xarray.tests.test_duck_array_ops ‑ test_reduce[x-True-mean-True-bool_-2]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_T[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_all[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_all[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_any[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_any[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmax[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmax[False-pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmax[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmax[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmax[True-pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmax[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmin[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmin[False-pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmin[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmin[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmin[True-pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argmin[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argsort[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argsort[dask.array]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argsort[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_argsort[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_astype[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_bfill[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_bfill[dask.array]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_bfill[jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_bfill[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_bfill[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_broadcast_like[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_clip[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_coarsen_construct[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_coarsen_construct[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_coarsen_reduce[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_coarsen_reduce[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_conj[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_conjugate[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_conjugate[dask.array]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_conjugate[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_count[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_count[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_count[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumprod[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumprod[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumprod[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumprod[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumsum[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumsum[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumsum[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumsum[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumulative_construct[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumulative_construct[jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumulative_construct[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumulative_iter[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumulative_reduce[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumulative_reduce[jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumulative_reduce[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_cumulative_reduce[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_diff[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_differentiate[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_differentiate[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_dot[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_dot[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_dot[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_dropna[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_ffill[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_ffill[dask.array]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_ffill[jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_ffill[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_ffill[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_fillna[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_groupby[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_groupby_bins[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmax[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmax[False-pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmax[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmax[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmax[True-pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmax[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmin[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmin[False-pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmin[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmin[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmin[True-pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_idxmin[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_imag[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_integrate[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_interp[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_interp[jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_interp[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_interp[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_interpolate_na[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_interpolate_na[dask.array]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_interpolate_na[jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_interpolate_na[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_interpolate_na[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_isel[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_isin[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_isin[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_isin[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_isnull[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_isnull[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_loc[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_map_blocks[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_max[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_max[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_mean[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_mean[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_median[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_median[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_median[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_median[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_min[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_min[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_notnull[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_notnull[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_pad[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_pad[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_polyfit[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_polyfit[jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_polyfit[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_polyfit[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_prod[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_prod[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_quantile[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_quantile[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_quantile[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_quantile[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rank[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rank[dask.array]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rank[jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rank[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rank[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_real[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_resample[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_roll[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_construct[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_construct[jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_construct[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_exp_reduce[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_exp_reduce[jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_exp_reduce[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_exp_reduce[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_iter[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_reduce[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_reduce[False-jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_reduce[False-pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_reduce[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_reduce[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_reduce[True-jax.numpy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_reduce[True-pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_rolling_reduce[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_round[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_searchsorted[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_searchsorted[dask.array]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_searchsorted[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_searchsorted[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_sel[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_shift[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_shift[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_sortby[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_squeeze[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_stack[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_std[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_std[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_std[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_std[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_sum[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_sum[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_transpose[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_unstack[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_var[False-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_var[False-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_var[True-cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_var[True-sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_weighted[cupy]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_weighted[pint]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_weighted[sparse]
xarray.tests.test_duck_array_wrapping.TestDataArrayMethods ‑ test_where[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_align[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_apply_ufunc[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_broadcast[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_concat[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_corr[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_corr[sparse]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_cov[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_cov[sparse]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_cross[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_cross[sparse]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_dot[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_dot[pint]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_dot[sparse]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_full_like[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_full_like[pint]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_map_blocks[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_merge[cupy]
xarray.tests.test_duck_array_wrapping.TestTopLevelMethods ‑ test_where[cupy]
xarray.tests.test_interp ‑ test_datetime[2000-01-01T12:00-0.5]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-0-False-cubic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-0-False-pchip]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-0-False-quintic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-0-True-cubic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-0-True-pchip]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-0-True-quintic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-1-False-cubic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-1-False-pchip]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-1-False-quintic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-1-True-cubic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-1-True-pchip]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-1-True-quintic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-2-False-cubic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-2-False-pchip]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-2-False-quintic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-2-True-cubic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-2-True-pchip]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-2-True-quintic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-3-False-cubic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-3-False-pchip]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-3-False-quintic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-3-True-cubic]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-3-True-pchip]
xarray.tests.test_interp ‑ test_interpolate_chunk_1d[3-3-3-True-quintic]
xarray.tests.test_missing ‑ test_interpolate_na_2d[None]
xarray.tests.test_namedarray.TestNamedArray ‑ test_init[expected1]
xarray.tests.test_plot.TestImshow ‑ test_3d_raises_valueerror
xarray.tests.test_plot.TestNcAxisNotInstalled ‑ test_ncaxis_notinstalled_line_plot
xarray.tests.test_plot.TestSurface ‑ test_cmap_and_color_both
xarray.tests.test_plot.TestSurface ‑ test_colorbar_kwargs
xarray.tests.test_plot.TestSurface ‑ test_dates_are_concise
xarray.tests.test_plot.TestSurface ‑ test_default_cmap
xarray.tests.test_plot.TestSurface ‑ test_diverging_color_limits
xarray.tests.test_plot.TestSurface ‑ test_xyincrease_false_changes_axes
xarray.tests.test_plot.TestSurface ‑ test_xyincrease_true_changes_axes
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-1-False-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-1-False-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-1-True-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-1-True-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-2-False-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-2-False-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-2-True-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-2-True-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-3-False-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-3-False-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-3-True-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-3-True-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-None-False-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-None-False-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-None-True-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[dask-std-1-None-True-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-1-False-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-1-False-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-1-True-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-1-True-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-2-False-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-2-False-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-2-True-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-2-True-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-3-False-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-3-False-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-3-True-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-3-True-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-None-False-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-None-False-2]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-None-True-1]
xarray.tests.test_rolling.TestDatasetRolling ‑ test_rolling_reduce[numpy-std-1-None-True-2]

Check notice on line 0 in .github

See this annotation in the file changed.

@github-actions github-actions / Test Results

2318 skipped tests found (test 1284 to 1981)

There are 2318 skipped tests, see "Raw output" for the list of skipped tests 1284 to 1981.
Raw output
xarray.tests.test_sparse
xarray.tests.test_sparse ‑ test_1d_variable_method[func1-False]
xarray.tests.test_sparse ‑ test_1d_variable_method[func2-False]
xarray.tests.test_sparse ‑ test_1d_variable_method[func3-True]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.argmax(*(), **{})-True]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.argmin(*(), **{})-True]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.argsort(*(), **{})-True]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.bfill(*(), **{'dim': 'x'})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.conjugate(*(), **{})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.cumprod(*(), **{})-True]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.cumsum(*(), **{})-True]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.differentiate(*('x',), **{})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.dropna(*('x',), **{})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.ffill(*('x',), **{})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.interp(*(), **{'coords': {'x': array([0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5])}})-True]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.interp_like(*(<xarray.DataArray 'test' (x: 10, y: 5)> Size: 120B\n<COO: shape=(10, 5), dtype=float64, nnz=5, fill_value=0.0>\nCoordinates:\n  * x        (x) float64 80B 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5\n  * y        (y) float64 40B 0.5 1.5 2.5 3.5 4.5,), **{})-True]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.interpolate_na(*('x',), **{})-True]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.isin(*([1, 2, 3],), **{})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.item(*((1, 1),), **{})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.median(*(), **{})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.quantile(*(), **{'q': 0.5})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.rank(*('x',), **{})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.reduce(*(), **{'func': 'sum', 'dim': 'x'})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.std(*(), **{})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.var(*(), **{})-False]
xarray.tests.test_sparse ‑ test_dataarray_method[obj.where(*(<xarray.DataArray 'test' (x: 10, y: 5)> Size: 85B\n<COO: shape=(10, 5), dtype=bool, nnz=5, fill_value=False>\nCoordinates:\n  * x        (x) int64 80B 0 1 2 3 4 5 6 7 8 9\n  * y        (y) int64 40B 0 1 2 3 4,), **{})-False]
xarray.tests.test_sparse ‑ test_datarray_1d_method[func1-False]
xarray.tests.test_sparse ‑ test_variable_method[obj.argmax(*(), **{})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.argmin(*(), **{})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.argsort(*(), **{})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.conjugate(*(), **{})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.cumprod(*(), **{})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.cumsum(*(), **{})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.item(*((1, 1),), **{})-False]
xarray.tests.test_sparse ‑ test_variable_method[obj.median(*(), **{})-False]
xarray.tests.test_sparse ‑ test_variable_method[obj.no_conflicts(*(), **{'other': <xarray.Variable (x: 10, y: 5)> Size: 120B\n<COO: shape=(10, 5), dtype=float64, nnz=5, fill_value=0.0>})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.pad(*(), **{'mode': 'constant', 'pad_widths': {'x': (1, 1)}, 'fill_value': 5})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.quantile(*(), **{'q': 0.5})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.rank(*(), **{'dim': 'x'})-False]
xarray.tests.test_sparse ‑ test_variable_method[obj.rolling_window(*(), **{'dim': 'x', 'window': 2, 'window_dim': 'x_win'})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.shift(*(), **{'x': 2})-True]
xarray.tests.test_sparse ‑ test_variable_method[obj.std(*(), **{})-False]
xarray.tests.test_sparse ‑ test_variable_method[obj.var(*(), **{})-False]
xarray.tests.test_sparse ‑ test_variable_property[values]
xarray.tests.test_sparse.TestSparseCoords ‑ test_sparse_coords
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_align_2d
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_dot
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_groupby
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_groupby_bins
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_groupby_first
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_merge
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_reindex
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_resample
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_rolling
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_rolling_exp
xarray.tests.test_sparse.TestSparseDataArrayAndDataset ‑ test_where
xarray.tests.test_strategies
xarray.tests.test_ufuncs.TestXarrayUfuncs ‑ test_ufunc_duck_dask_no_array_ufunc
xarray.tests.test_units
xarray.tests.test_units ‑ test_align_dataarray[float64-10-coords-compatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-10-coords-dimensionless]
xarray.tests.test_units ‑ test_align_dataarray[float64-10-coords-identical_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-10-coords-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-10-coords-no_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-10-dims-compatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-10-dims-dimensionless]
xarray.tests.test_units ‑ test_align_dataarray[float64-10-dims-identical_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-10-dims-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-10-dims-no_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-value1-coords-compatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-value1-coords-dimensionless]
xarray.tests.test_units ‑ test_align_dataarray[float64-value1-coords-identical_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-value1-coords-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-value1-dims-compatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-value1-dims-dimensionless]
xarray.tests.test_units ‑ test_align_dataarray[float64-value1-dims-identical_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-value1-dims-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[float64-value1-dims-no_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-10-coords-compatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-10-coords-dimensionless]
xarray.tests.test_units ‑ test_align_dataarray[int64-10-coords-identical_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-10-coords-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-10-coords-no_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-10-dims-compatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-10-dims-dimensionless]
xarray.tests.test_units ‑ test_align_dataarray[int64-10-dims-identical_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-10-dims-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-10-dims-no_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-value1-coords-compatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-value1-coords-dimensionless]
xarray.tests.test_units ‑ test_align_dataarray[int64-value1-coords-identical_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-value1-coords-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-value1-dims-compatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-value1-dims-dimensionless]
xarray.tests.test_units ‑ test_align_dataarray[int64-value1-dims-identical_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-value1-dims-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataarray[int64-value1-dims-no_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-10-coords-compatible_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-10-coords-dimensionless]
xarray.tests.test_units ‑ test_align_dataset[float64-10-coords-identical_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-10-coords-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-10-coords-no_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-10-dims-compatible_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-10-dims-dimensionless]
xarray.tests.test_units ‑ test_align_dataset[float64-10-dims-identical_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-10-dims-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-10-dims-no_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-value1-coords-compatible_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-value1-coords-dimensionless]
xarray.tests.test_units ‑ test_align_dataset[float64-value1-coords-identical_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-value1-coords-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-value1-dims-compatible_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-value1-dims-dimensionless]
xarray.tests.test_units ‑ test_align_dataset[float64-value1-dims-identical_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-value1-dims-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataset[float64-value1-dims-no_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-10-coords-compatible_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-10-coords-dimensionless]
xarray.tests.test_units ‑ test_align_dataset[int64-10-coords-identical_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-10-coords-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-10-coords-no_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-10-dims-compatible_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-10-dims-dimensionless]
xarray.tests.test_units ‑ test_align_dataset[int64-10-dims-identical_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-10-dims-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-10-dims-no_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-value1-coords-compatible_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-value1-coords-dimensionless]
xarray.tests.test_units ‑ test_align_dataset[int64-value1-coords-identical_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-value1-coords-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-value1-dims-compatible_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-value1-dims-dimensionless]
xarray.tests.test_units ‑ test_align_dataset[int64-value1-dims-identical_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-value1-dims-incompatible_unit]
xarray.tests.test_units ‑ test_align_dataset[int64-value1-dims-no_unit]
xarray.tests.test_units ‑ test_apply_ufunc_dataarray[float64-dims]
xarray.tests.test_units ‑ test_apply_ufunc_dataarray[int64-dims]
xarray.tests.test_units ‑ test_apply_ufunc_dataset[float64-dims]
xarray.tests.test_units ‑ test_apply_ufunc_dataset[int64-dims]
xarray.tests.test_units ‑ test_combine_by_coords[float64-dims-compatible_unit]
xarray.tests.test_units ‑ test_combine_by_coords[float64-dims-dimensionless]
xarray.tests.test_units ‑ test_combine_by_coords[float64-dims-identical_unit]
xarray.tests.test_units ‑ test_combine_by_coords[float64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_combine_by_coords[float64-dims-no_unit]
xarray.tests.test_units ‑ test_combine_by_coords[int64-dims-compatible_unit]
xarray.tests.test_units ‑ test_combine_by_coords[int64-dims-dimensionless]
xarray.tests.test_units ‑ test_combine_by_coords[int64-dims-identical_unit]
xarray.tests.test_units ‑ test_combine_by_coords[int64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_combine_by_coords[int64-dims-no_unit]
xarray.tests.test_units ‑ test_combine_nested[float64-dims-compatible_unit]
xarray.tests.test_units ‑ test_combine_nested[float64-dims-dimensionless]
xarray.tests.test_units ‑ test_combine_nested[float64-dims-identical_unit]
xarray.tests.test_units ‑ test_combine_nested[float64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_combine_nested[float64-dims-no_unit]
xarray.tests.test_units ‑ test_combine_nested[int64-dims-compatible_unit]
xarray.tests.test_units ‑ test_combine_nested[int64-dims-dimensionless]
xarray.tests.test_units ‑ test_combine_nested[int64-dims-identical_unit]
xarray.tests.test_units ‑ test_combine_nested[int64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_combine_nested[int64-dims-no_unit]
xarray.tests.test_units ‑ test_concat_dataarray[float64-dims-compatible_unit]
xarray.tests.test_units ‑ test_concat_dataarray[float64-dims-dimensionless]
xarray.tests.test_units ‑ test_concat_dataarray[float64-dims-identical_unit]
xarray.tests.test_units ‑ test_concat_dataarray[float64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_concat_dataarray[float64-dims-no_unit]
xarray.tests.test_units ‑ test_concat_dataarray[int64-dims-compatible_unit]
xarray.tests.test_units ‑ test_concat_dataarray[int64-dims-dimensionless]
xarray.tests.test_units ‑ test_concat_dataarray[int64-dims-identical_unit]
xarray.tests.test_units ‑ test_concat_dataarray[int64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_concat_dataarray[int64-dims-no_unit]
xarray.tests.test_units ‑ test_concat_dataset[float64-dims-compatible_unit]
xarray.tests.test_units ‑ test_concat_dataset[float64-dims-dimensionless]
xarray.tests.test_units ‑ test_concat_dataset[float64-dims-identical_unit]
xarray.tests.test_units ‑ test_concat_dataset[float64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_concat_dataset[float64-dims-no_unit]
xarray.tests.test_units ‑ test_concat_dataset[int64-dims-compatible_unit]
xarray.tests.test_units ‑ test_concat_dataset[int64-dims-dimensionless]
xarray.tests.test_units ‑ test_concat_dataset[int64-dims-identical_unit]
xarray.tests.test_units ‑ test_concat_dataset[int64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_concat_dataset[int64-dims-no_unit]
xarray.tests.test_units ‑ test_merge_dataarray[float64-dims-compatible_unit]
xarray.tests.test_units ‑ test_merge_dataarray[float64-dims-dimensionless]
xarray.tests.test_units ‑ test_merge_dataarray[float64-dims-identical_unit]
xarray.tests.test_units ‑ test_merge_dataarray[float64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_merge_dataarray[float64-dims-no_unit]
xarray.tests.test_units ‑ test_merge_dataarray[int64-dims-compatible_unit]
xarray.tests.test_units ‑ test_merge_dataarray[int64-dims-dimensionless]
xarray.tests.test_units ‑ test_merge_dataarray[int64-dims-identical_unit]
xarray.tests.test_units ‑ test_merge_dataarray[int64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_merge_dataarray[int64-dims-no_unit]
xarray.tests.test_units ‑ test_merge_dataset[float64-dims-compatible_unit]
xarray.tests.test_units ‑ test_merge_dataset[float64-dims-dimensionless]
xarray.tests.test_units ‑ test_merge_dataset[float64-dims-identical_unit]
xarray.tests.test_units ‑ test_merge_dataset[float64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_merge_dataset[float64-dims-no_unit]
xarray.tests.test_units ‑ test_merge_dataset[int64-dims-compatible_unit]
xarray.tests.test_units ‑ test_merge_dataset[int64-dims-dimensionless]
xarray.tests.test_units ‑ test_merge_dataset[int64-dims-identical_unit]
xarray.tests.test_units ‑ test_merge_dataset[int64-dims-incompatible_unit]
xarray.tests.test_units ‑ test_merge_dataset[int64-dims-no_unit]
xarray.tests.test_units ‑ test_replication_dataarray[float64-ones_like-dims]
xarray.tests.test_units ‑ test_replication_dataarray[float64-zeros_like-dims]
xarray.tests.test_units ‑ test_replication_dataarray[int64-ones_like-dims]
xarray.tests.test_units ‑ test_replication_dataarray[int64-zeros_like-dims]
xarray.tests.test_units ‑ test_replication_dataset[float64-ones_like-dims]
xarray.tests.test_units ‑ test_replication_dataset[float64-zeros_like-dims]
xarray.tests.test_units ‑ test_replication_dataset[int64-ones_like-dims]
xarray.tests.test_units ‑ test_replication_dataset[int64-zeros_like-dims]
xarray.tests.test_units ‑ test_replication_full_like_dataarray[float64-coords]
xarray.tests.test_units ‑ test_replication_full_like_dataarray[float64-dims]
xarray.tests.test_units ‑ test_replication_full_like_dataarray[int64-coords]
xarray.tests.test_units ‑ test_replication_full_like_dataarray[int64-dims]
xarray.tests.test_units ‑ test_replication_full_like_dataset[float64-coords]
xarray.tests.test_units ‑ test_replication_full_like_dataset[float64-dims]
xarray.tests.test_units ‑ test_replication_full_like_dataset[int64-coords]
xarray.tests.test_units ‑ test_replication_full_like_dataset[int64-dims]
xarray.tests.test_units.TestDataArray ‑ test_aggregation[float64-function_argmax]
xarray.tests.test_units.TestDataArray ‑ test_aggregation[float64-function_argmin]
xarray.tests.test_units.TestDataArray ‑ test_aggregation[float64-function_median]
xarray.tests.test_units.TestDataArray ‑ test_aggregation[int64-function_argmax]
xarray.tests.test_units.TestDataArray ‑ test_aggregation[int64-function_argmin]
xarray.tests.test_units.TestDataArray ‑ test_aggregation[int64-function_median]
xarray.tests.test_units.TestDataArray ‑ test_bivariate_ufunc[float64-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_bivariate_ufunc[int64-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_broadcast_like[float64-dims-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_broadcast_like[float64-dims-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_broadcast_like[float64-dims-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_broadcast_like[float64-dims-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_broadcast_like[float64-dims-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_broadcast_like[int64-dims-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_broadcast_like[int64-dims-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_broadcast_like[int64-dims-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_broadcast_like[int64-dims-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_broadcast_like[int64-dims-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_equals-dims-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_equals-dims-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_equals-dims-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_equals-dims-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_equals-dims-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-coords-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-coords-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-coords-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-coords-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-coords-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-data-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-data-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-data-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-data-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-data-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-dims-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-dims-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-dims-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-dims-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[float64-method_identical-dims-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_equals-dims-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_equals-dims-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_equals-dims-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_equals-dims-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_equals-dims-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-coords-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-coords-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-coords-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-coords-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-coords-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-data-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-data-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-data-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-data-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-data-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-dims-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-dims-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-dims-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-dims-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_comparisons[int64-method_identical-dims-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_computation[float64-method_diff-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_computation[float64-method_diff-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_computation[float64-method_dot-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_computation[float64-method_dot-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_computation[float64-method_quantile-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_computation[float64-method_quantile-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_computation[float64-method_reduce-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_computation[float64-method_reduce-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_computation[int64-method_diff-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_computation[int64-method_diff-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_computation[int64-method_dot-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_computation[int64-method_dot-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_computation[int64-method_quantile-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_computation[int64-method_quantile-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_computation[int64-method_reduce-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_computation[int64-method_reduce-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[float64-method_coarsen-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[float64-method_groupby-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[float64-method_groupby_bins-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[float64-method_rolling-data]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[float64-method_rolling-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[float64-method_rolling_exp-data]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[float64-method_rolling_exp-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[float64-method_weighted-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[int64-method_coarsen-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[int64-method_groupby-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[int64-method_groupby_bins-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[int64-method_rolling-data]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[int64-method_rolling-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[int64-method_rolling_exp-data]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[int64-method_rolling_exp-dims]
xarray.tests.test_units.TestDataArray ‑ test_computation_objects[int64-method_weighted-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_assign_attrs-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_assign_coords-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_astype-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_copy-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_drop_vars-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_expand_dims-coords]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_expand_dims-data]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_expand_dims-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_pipe-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_rename-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_reset_coords-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_swap_dims-coords]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_swap_dims-data]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[float64-method_swap_dims-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_assign_attrs-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_assign_coords-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_astype-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_copy-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_drop_vars-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_expand_dims-coords]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_expand_dims-data]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_expand_dims-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_pipe-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_rename-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_reset_coords-dims]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_swap_dims-coords]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_swap_dims-data]
xarray.tests.test_units.TestDataArray ‑ test_content_manipulation[int64-method_swap_dims-dims]
xarray.tests.test_units.TestDataArray ‑ test_differentiate_integrate[float64-method_cumulative_integrate-dims]
xarray.tests.test_units.TestDataArray ‑ test_differentiate_integrate[float64-method_differentiate-dims]
xarray.tests.test_units.TestDataArray ‑ test_differentiate_integrate[float64-method_integrate-dims]
xarray.tests.test_units.TestDataArray ‑ test_differentiate_integrate[int64-method_cumulative_integrate-dims]
xarray.tests.test_units.TestDataArray ‑ test_differentiate_integrate[int64-method_differentiate-dims]
xarray.tests.test_units.TestDataArray ‑ test_differentiate_integrate[int64-method_integrate-dims]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-compatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-dimensionless-single_value]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-identical_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-no_units-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-no_units-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[float64-no_units-single_value]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-compatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-dimensionless-single_value]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-identical_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-no_units-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-no_units-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_drop_sel[int64-no_units-single_value]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[float64-method_assign_coords-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[float64-method_assign_coords-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[float64-method_first-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[float64-method_first-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[float64-method_last-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[float64-method_last-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[float64-method_quantile-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[float64-method_quantile-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[int64-method_assign_coords-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[int64-method_assign_coords-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[int64-method_first-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[int64-method_first-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[int64-method_last-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[int64-method_last-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[int64-method_quantile-dims-None]
xarray.tests.test_units.TestDataArray ‑ test_grouped_operations[int64-method_quantile-dims-numbagg]
xarray.tests.test_units.TestDataArray ‑ test_init[float64-with_dims]
xarray.tests.test_units.TestDataArray ‑ test_init[int64-with_dims]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex[float64-method_interp-coords]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex[float64-method_interp-data]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex[int64-method_interp-coords]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex[int64-method_interp-data]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[float64-method_interp-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[float64-method_interp-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[float64-method_interp-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[float64-method_interp-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[float64-method_interp-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[float64-method_reindex-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[float64-method_reindex-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[float64-method_reindex-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[float64-method_reindex-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[float64-method_reindex-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[int64-method_interp-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[int64-method_interp-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[int64-method_interp-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[int64-method_interp-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[int64-method_interp-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[int64-method_reindex-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[int64-method_reindex-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[int64-method_reindex-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[int64-method_reindex-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_indexing[int64-method_reindex-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like[float64-method_interp_like-coords]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like[float64-method_interp_like-data]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like[int64-method_interp_like-coords]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like[int64-method_interp_like-data]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[float64-method_interp_like-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[float64-method_interp_like-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[float64-method_interp_like-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[float64-method_interp_like-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[float64-method_interp_like-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[float64-method_reindex_like-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[float64-method_reindex_like-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[float64-method_reindex_like-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[float64-method_reindex_like-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[float64-method_reindex_like-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[int64-method_interp_like-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[int64-method_interp_like-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[int64-method_interp_like-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[int64-method_interp_like-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[int64-method_interp_like-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[int64-method_reindex_like-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[int64-method_reindex_like-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[int64-method_reindex_like-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[int64-method_reindex_like-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_interp_reindex_like_indexing[int64-method_reindex_like-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_interpolate_na
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-compatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-dimensionless-single_value]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-identical_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-no_units-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-no_units-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[float64-no_units-single_value]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-compatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-dimensionless-single_value]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-identical_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-no_units-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-no_units-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_loc[int64-no_units-single_value]
xarray.tests.test_units.TestDataArray ‑ test_missing_value_filling[float64-method_bfill]
xarray.tests.test_units.TestDataArray ‑ test_missing_value_filling[float64-method_ffill]
xarray.tests.test_units.TestDataArray ‑ test_missing_value_filling[int64-method_bfill]
xarray.tests.test_units.TestDataArray ‑ test_missing_value_filling[int64-method_ffill]
xarray.tests.test_units.TestDataArray ‑ test_numpy_methods_with_args[float64-compatible_unit-function_clip]
xarray.tests.test_units.TestDataArray ‑ test_numpy_methods_with_args[float64-dimensionless-function_clip]
xarray.tests.test_units.TestDataArray ‑ test_numpy_methods_with_args[float64-identical_unit-function_clip]
xarray.tests.test_units.TestDataArray ‑ test_numpy_methods_with_args[float64-incompatible_unit-function_clip]
xarray.tests.test_units.TestDataArray ‑ test_numpy_methods_with_args[float64-no_unit-function_clip]
xarray.tests.test_units.TestDataArray ‑ test_numpy_methods_with_args[int64-compatible_unit-function_clip]
xarray.tests.test_units.TestDataArray ‑ test_numpy_methods_with_args[int64-dimensionless-function_clip]
xarray.tests.test_units.TestDataArray ‑ test_numpy_methods_with_args[int64-identical_unit-function_clip]
xarray.tests.test_units.TestDataArray ‑ test_numpy_methods_with_args[int64-incompatible_unit-function_clip]
xarray.tests.test_units.TestDataArray ‑ test_numpy_methods_with_args[int64-no_unit-function_clip]
xarray.tests.test_units.TestDataArray ‑ test_repr[float64-with_dims-repr]
xarray.tests.test_units.TestDataArray ‑ test_repr[float64-with_dims-str]
xarray.tests.test_units.TestDataArray ‑ test_repr[int64-with_dims-repr]
xarray.tests.test_units.TestDataArray ‑ test_repr[int64-with_dims-str]
xarray.tests.test_units.TestDataArray ‑ test_searchsorted[float64-function_searchsorted-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_searchsorted[float64-function_searchsorted-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_searchsorted[float64-function_searchsorted-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_searchsorted[float64-function_searchsorted-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_searchsorted[float64-function_searchsorted-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_searchsorted[int64-function_searchsorted-compatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_searchsorted[int64-function_searchsorted-dimensionless]
xarray.tests.test_units.TestDataArray ‑ test_searchsorted[int64-function_searchsorted-identical_unit]
xarray.tests.test_units.TestDataArray ‑ test_searchsorted[int64-function_searchsorted-incompatible_unit]
xarray.tests.test_units.TestDataArray ‑ test_searchsorted[int64-function_searchsorted-no_unit]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-compatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-dimensionless-single_value]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-identical_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-no_units-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-no_units-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[float64-no_units-single_value]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-compatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-dimensionless-single_value]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-identical_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-no_units-array_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-no_units-list_of_values]
xarray.tests.test_units.TestDataArray ‑ test_sel[int64-no_units-single_value]
xarray.tests.test_units.TestDataArray ‑ test_stacking_reordering[float64-method_rank]
xarray.tests.test_units.TestDataArray ‑ test_stacking_reordering[int64-method_rank]
xarray.tests.test_units.TestDataArray ‑ test_to_unstacked_dataset[float64]
xarray.tests.test_units.TestDataArray ‑ test_to_unstacked_dataset[int64]
xarray.tests.test_units.TestDataset ‑ test_broadcast_like[float64-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_broadcast_like[float64-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_broadcast_like[float64-dims-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_broadcast_like[float64-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_broadcast_like[float64-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_broadcast_like[int64-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_broadcast_like[int64-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_broadcast_like[int64-dims-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_broadcast_like[int64-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_broadcast_like[int64-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_combine_first[float64-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_combine_first[float64-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_combine_first[float64-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_combine_first[float64-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_combine_first[float64-dims-same_unit]
xarray.tests.test_units.TestDataset ‑ test_combine_first[int64-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_combine_first[int64-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_combine_first[int64-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_combine_first[int64-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_combine_first[int64-dims-same_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_equals-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_equals-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_equals-dims-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_equals-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_equals-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-coords-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-coords-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-coords-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-coords-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-coords-no_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-data-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-data-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-data-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-data-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-data-no_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-dims-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[float64-method_identical-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_equals-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_equals-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_equals-dims-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_equals-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_equals-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-coords-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-coords-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-coords-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-coords-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-coords-no_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-data-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-data-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-data-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-data-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-data-no_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-dims-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_comparisons[int64-method_identical-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_diff-None]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_diff-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_differentiate-None]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_differentiate-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_integrate-None]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_integrate-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_map-None]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_map-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_quantile-None]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_quantile-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_reduce-None]
xarray.tests.test_units.TestDataset ‑ test_computation[float64-dims-method_reduce-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_diff-None]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_diff-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_differentiate-None]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_differentiate-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_integrate-None]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_integrate-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_map-None]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_map-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_quantile-None]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_quantile-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_reduce-None]
xarray.tests.test_units.TestDataset ‑ test_computation[int64-dims-method_reduce-numbagg]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[float64-data-method_rolling]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[float64-data-method_rolling_exp]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[float64-dims-method_coarsen]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[float64-dims-method_groupby]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[float64-dims-method_groupby_bins]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[float64-dims-method_rolling]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[float64-dims-method_rolling_exp]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[float64-dims-method_weighted]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[int64-data-method_rolling]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[int64-data-method_rolling_exp]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[int64-dims-method_coarsen]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[int64-dims-method_groupby]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[int64-dims-method_groupby_bins]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[int64-dims-method_rolling]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[int64-dims-method_rolling_exp]
xarray.tests.test_units.TestDataset ‑ test_computation_objects[int64-dims-method_weighted]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-coords-method_expand_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-data-method_expand_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_assign]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_assign_attrs]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_assign_coords]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_copy]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_drop_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_drop_vars]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_expand_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_pipe]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_rename]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_rename_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_rename_vars]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_reset_coords]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_set_coords]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[float64-dims-method_swap_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-coords-method_expand_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-data-method_expand_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_assign]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_assign_attrs]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_assign_coords]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_copy]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_drop_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_drop_vars]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_expand_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_pipe]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_rename]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_rename_dims]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_rename_vars]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_reset_coords]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_set_coords]
xarray.tests.test_units.TestDataset ‑ test_content_manipulation[int64-dims-method_swap_dims]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-compatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-dimensionless-single_value]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-identical_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-no_units-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-no_units-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[float64-no_units-single_value]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-compatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-dimensionless-single_value]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-identical_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-no_units-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-no_units-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_drop_sel[int64-no_units-single_value]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[float64-dims-method_assign-None]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[float64-dims-method_assign-numbagg]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[float64-dims-method_assign_coords-None]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[float64-dims-method_assign_coords-numbagg]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[float64-dims-method_first-None]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[float64-dims-method_first-numbagg]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[float64-dims-method_last-None]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[float64-dims-method_last-numbagg]

Check notice on line 0 in .github

See this annotation in the file changed.

@github-actions github-actions / Test Results

2318 skipped tests found (test 1982 to 2318)

There are 2318 skipped tests, see "Raw output" for the list of skipped tests 1982 to 2318.
Raw output
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[float64-dims-method_quantile-None]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[float64-dims-method_quantile-numbagg]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[int64-dims-method_assign-None]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[int64-dims-method_assign-numbagg]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[int64-dims-method_assign_coords-None]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[int64-dims-method_assign_coords-numbagg]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[int64-dims-method_first-None]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[int64-dims-method_first-numbagg]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[int64-dims-method_last-None]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[int64-dims-method_last-numbagg]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[int64-dims-method_quantile-None]
xarray.tests.test_units.TestDataset ‑ test_grouped_operations[int64-dims-method_quantile-numbagg]
xarray.tests.test_units.TestDataset ‑ test_head_tail_thin[float64-dims-method_head]
xarray.tests.test_units.TestDataset ‑ test_head_tail_thin[float64-dims-method_tail]
xarray.tests.test_units.TestDataset ‑ test_head_tail_thin[float64-dims-method_thin]
xarray.tests.test_units.TestDataset ‑ test_head_tail_thin[int64-dims-method_head]
xarray.tests.test_units.TestDataset ‑ test_head_tail_thin[int64-dims-method_tail]
xarray.tests.test_units.TestDataset ‑ test_head_tail_thin[int64-dims-method_thin]
xarray.tests.test_units.TestDataset ‑ test_init[float64-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_init[float64-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_init[float64-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_init[float64-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_init[float64-dims-same_unit]
xarray.tests.test_units.TestDataset ‑ test_init[int64-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_init[int64-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_init[int64-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_init[int64-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_init[int64-dims-same_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex[float64-method_interp-coords]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex[float64-method_interp-data]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex[int64-method_interp-coords]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex[int64-method_interp-data]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[float64-method_interp-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[float64-method_interp-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[float64-method_interp-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[float64-method_interp-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[float64-method_interp-no_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[float64-method_reindex-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[float64-method_reindex-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[float64-method_reindex-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[float64-method_reindex-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[float64-method_reindex-no_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[int64-method_interp-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[int64-method_interp-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[int64-method_interp-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[int64-method_interp-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[int64-method_interp-no_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[int64-method_reindex-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[int64-method_reindex-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[int64-method_reindex-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[int64-method_reindex-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_indexing[int64-method_reindex-no_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like[float64-method_interp_like-coords]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like[float64-method_interp_like-data]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like[int64-method_interp_like-coords]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like[int64-method_interp_like-data]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[float64-method_interp_like-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[float64-method_interp_like-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[float64-method_interp_like-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[float64-method_interp_like-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[float64-method_interp_like-no_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[float64-method_reindex_like-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[float64-method_reindex_like-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[float64-method_reindex_like-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[float64-method_reindex_like-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[float64-method_reindex_like-no_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[int64-method_interp_like-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[int64-method_interp_like-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[int64-method_interp_like-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[int64-method_interp_like-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[int64-method_interp_like-no_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[int64-method_reindex_like-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[int64-method_reindex_like-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[int64-method_reindex_like-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[int64-method_reindex_like-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_interp_reindex_like_indexing[int64-method_reindex_like-no_unit]
xarray.tests.test_units.TestDataset ‑ test_interpolate_na[float64]
xarray.tests.test_units.TestDataset ‑ test_interpolate_na[int64]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-compatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-dimensionless-single_value]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-identical_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-no_units-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-no_units-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[float64-no_units-single_value]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-compatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-dimensionless-single_value]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-identical_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-no_units-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-no_units-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_loc[int64-no_units-single_value]
xarray.tests.test_units.TestDataset ‑ test_merge[float64-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_merge[float64-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_merge[float64-dims-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_merge[float64-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_merge[float64-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_merge[int64-dims-compatible_unit]
xarray.tests.test_units.TestDataset ‑ test_merge[int64-dims-dimensionless]
xarray.tests.test_units.TestDataset ‑ test_merge[int64-dims-identical_unit]
xarray.tests.test_units.TestDataset ‑ test_merge[int64-dims-incompatible_unit]
xarray.tests.test_units.TestDataset ‑ test_merge[int64-dims-no_unit]
xarray.tests.test_units.TestDataset ‑ test_missing_value_filling[float64-method_bfill]
xarray.tests.test_units.TestDataset ‑ test_missing_value_filling[float64-method_ffill]
xarray.tests.test_units.TestDataset ‑ test_missing_value_filling[int64-method_bfill]
xarray.tests.test_units.TestDataset ‑ test_missing_value_filling[int64-method_ffill]
xarray.tests.test_units.TestDataset ‑ test_repr[float64-dims-repr]
xarray.tests.test_units.TestDataset ‑ test_repr[float64-dims-str]
xarray.tests.test_units.TestDataset ‑ test_repr[int64-dims-repr]
xarray.tests.test_units.TestDataset ‑ test_repr[int64-dims-str]
xarray.tests.test_units.TestDataset ‑ test_resample[float64-dims]
xarray.tests.test_units.TestDataset ‑ test_resample[int64-dims]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-compatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-dimensionless-single_value]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-identical_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-no_units-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-no_units-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[float64-no_units-single_value]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-compatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-compatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-compatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-dimensionless-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-dimensionless-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-dimensionless-single_value]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-identical_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-identical_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-identical_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-incompatible_unit-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-incompatible_unit-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-incompatible_unit-single_value]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-no_units-array_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-no_units-list_of_values]
xarray.tests.test_units.TestDataset ‑ test_sel[int64-no_units-single_value]
xarray.tests.test_units.TestDataset ‑ test_stacking_reordering[float64-method_rank]
xarray.tests.test_units.TestDataset ‑ test_stacking_reordering[int64-method_rank]
xarray.tests.test_units.TestDataset ‑ test_stacking_stacked[float64-dims-method_reorder_levels]
xarray.tests.test_units.TestDataset ‑ test_stacking_stacked[float64-dims-method_reset_index]
xarray.tests.test_units.TestDataset ‑ test_stacking_stacked[float64-dims-method_unstack]
xarray.tests.test_units.TestDataset ‑ test_stacking_stacked[int64-dims-method_reorder_levels]
xarray.tests.test_units.TestDataset ‑ test_stacking_stacked[int64-dims-method_reset_index]
xarray.tests.test_units.TestDataset ‑ test_stacking_stacked[int64-dims-method_unstack]
xarray.tests.test_units.TestDataset ‑ test_to_stacked_array[float64]
xarray.tests.test_units.TestDataset ‑ test_to_stacked_array[int64]
xarray.tests.test_units.TestPlots ‑ test_units_in_line_plot_labels[coord_unit1-coord_attrs1]
xarray.tests.test_units.TestPlots ‑ test_units_in_slice_line_plot_labels_isel[coord_unit1-coord_attrs1]
xarray.tests.test_units.TestPlots ‑ test_units_in_slice_line_plot_labels_sel[coord_unit1-coord_attrs1]
xarray.tests.test_units.TestVariable ‑ test_comparisons[float64-method_identical-no_conversion-compatible_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[float64-method_identical-no_conversion-dimensionless]
xarray.tests.test_units.TestVariable ‑ test_comparisons[float64-method_identical-no_conversion-identical_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[float64-method_identical-no_conversion-incompatible_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[float64-method_identical-no_conversion-no_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[float64-method_identical-with_conversion-compatible_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[float64-method_identical-with_conversion-dimensionless]
xarray.tests.test_units.TestVariable ‑ test_comparisons[float64-method_identical-with_conversion-identical_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[float64-method_identical-with_conversion-incompatible_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[float64-method_identical-with_conversion-no_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[int64-method_identical-no_conversion-compatible_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[int64-method_identical-no_conversion-dimensionless]
xarray.tests.test_units.TestVariable ‑ test_comparisons[int64-method_identical-no_conversion-identical_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[int64-method_identical-no_conversion-incompatible_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[int64-method_identical-no_conversion-no_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[int64-method_identical-with_conversion-compatible_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[int64-method_identical-with_conversion-dimensionless]
xarray.tests.test_units.TestVariable ‑ test_comparisons[int64-method_identical-with_conversion-identical_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[int64-method_identical-with_conversion-incompatible_unit]
xarray.tests.test_units.TestVariable ‑ test_comparisons[int64-method_identical-with_conversion-no_unit]
xarray.tests.test_units.TestVariable ‑ test_computation[float64-method_rank-None]
xarray.tests.test_units.TestVariable ‑ test_computation[float64-method_rank-numbagg]
xarray.tests.test_units.TestVariable ‑ test_computation[int64-method_rank-None]
xarray.tests.test_units.TestVariable ‑ test_computation[int64-method_rank-numbagg]
xarray.tests.test_variable.TestIndexVariable ‑ test_coarsen_2d
xarray.tests.test_variable.TestIndexVariable ‑ test_getitem_advanced
xarray.tests.test_variable.TestIndexVariable ‑ test_getitem_error
xarray.tests.test_variable.TestIndexVariable ‑ test_getitem_fancy
xarray.tests.test_variable.TestIndexVariable ‑ test_getitem_uint
xarray.tests.test_variable.TestIndexVariable ‑ test_nd_rolling
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg0-np_arg0-edge]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg0-np_arg0-linear_ramp]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg0-np_arg0-maximum]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg0-np_arg0-mean]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg0-np_arg0-median]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg0-np_arg0-minimum]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg0-np_arg0-reflect]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg0-np_arg0-symmetric]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg0-np_arg0-wrap]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg1-np_arg1-edge]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg1-np_arg1-linear_ramp]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg1-np_arg1-maximum]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg1-np_arg1-mean]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg1-np_arg1-median]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg1-np_arg1-minimum]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg1-np_arg1-reflect]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg1-np_arg1-symmetric]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg1-np_arg1-wrap]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg2-np_arg2-edge]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg2-np_arg2-linear_ramp]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg2-np_arg2-maximum]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg2-np_arg2-mean]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg2-np_arg2-median]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg2-np_arg2-minimum]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg2-np_arg2-reflect]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg2-np_arg2-symmetric]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg2-np_arg2-wrap]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg3-np_arg3-edge]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg3-np_arg3-linear_ramp]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg3-np_arg3-maximum]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg3-np_arg3-mean]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg3-np_arg3-median]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg3-np_arg3-minimum]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg3-np_arg3-reflect]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg3-np_arg3-symmetric]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg3-np_arg3-wrap]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg4-np_arg4-edge]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg4-np_arg4-linear_ramp]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg4-np_arg4-maximum]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg4-np_arg4-mean]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg4-np_arg4-median]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg4-np_arg4-minimum]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg4-np_arg4-reflect]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg4-np_arg4-symmetric]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad[xr_arg4-np_arg4-wrap]
xarray.tests.test_variable.TestIndexVariable ‑ test_pad_constant_values
xarray.tests.test_variable.TestIndexVariable ‑ test_rolling_1d
xarray.tests.test_variable.TestIndexVariable ‑ test_rolling_window
xarray.tests.test_variable.TestIndexVariable ‑ test_rolling_window_errors
xarray.tests.test_variable.TestNumpyCoercion ‑ test_from_cupy[IndexVariable]
xarray.tests.test_variable.TestNumpyCoercion ‑ test_from_cupy[Variable]
xarray.tests.test_variable.TestNumpyCoercion ‑ test_from_sparse[IndexVariable]
xarray.tests.test_variable.TestVariableWithDask ‑ test_0d_object_array_with_list
xarray.tests.test_variable.TestVariableWithDask ‑ test_array_interface
xarray.tests.test_variable.TestVariableWithDask ‑ test_copy_index
xarray.tests.test_variable.TestVariableWithDask ‑ test_eq_all_dtypes
xarray.tests.test_variable.TestVariableWithDask ‑ test_pad[xr_arg0-np_arg0-median]
xarray.tests.test_variable.TestVariableWithDask ‑ test_pad[xr_arg1-np_arg1-median]
xarray.tests.test_variable.TestVariableWithDask ‑ test_pad[xr_arg2-np_arg2-median]
xarray.tests.test_variable.TestVariableWithDask ‑ test_pad[xr_arg2-np_arg2-reflect]
xarray.tests.test_variable.TestVariableWithDask ‑ test_pad[xr_arg3-np_arg3-median]
xarray.tests.test_variable.TestVariableWithDask ‑ test_pad[xr_arg3-np_arg3-reflect]
xarray.tests.test_variable.TestVariableWithDask ‑ test_pad[xr_arg4-np_arg4-median]
xarray.tests.test_variable.TestVariableWithDask ‑ test_pad[xr_arg4-np_arg4-reflect]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-False-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-False-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-False-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-False-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-False-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-False-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-True-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-True-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-True-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-True-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-True-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[hazen-True-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-False-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-False-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-False-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-False-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-False-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-False-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-True-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-True-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-True-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-True-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-True-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[interpolated_inverted_cdf-True-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-False-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-False-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-False-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-False-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-False-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-False-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-True-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-True-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-True-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-True-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-True-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[linear-True-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-False-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-False-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-False-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-False-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-False-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-False-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-True-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-True-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-True-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-True-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-True-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[median_unbiased-True-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-False-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-False-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-False-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-False-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-False-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-False-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-True-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-True-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-True-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-True-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-True-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[normal_unbiased2-True-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-False-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-False-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-False-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-False-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-False-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-False-q1-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-True-0.5-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-True-0.5-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-True-0.5-da2]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-True-q1-da0]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-True-q1-da1]
xarray.tests.test_weighted ‑ test_weighted_quantile_equal_weights_all_methods[weibull-True-q1-da2]

Check notice on line 0 in .github

See this annotation in the file changed.

@github-actions github-actions / Test Results

21170 tests found (test 1 to 867)

There are 21170 tests, see "Raw output" for the list of tests 1 to 867.
Raw output
properties.test_encode_decode
properties.test_encode_decode ‑ test_CFMask_coder_decode
properties.test_encode_decode ‑ test_CFMask_coder_roundtrip
properties.test_encode_decode ‑ test_CFScaleOffset_coder_roundtrip
properties.test_index_manipulation
properties.test_index_manipulation ‑ test_unstack_object
properties.test_index_manipulation ‑ test_unstack_timedelta_index
properties.test_index_manipulation.DatasetTest ‑ runTest
properties.test_pandas_roundtrip
properties.test_pandas_roundtrip ‑ test_roundtrip_1d_pandas_extension_array
properties.test_pandas_roundtrip ‑ test_roundtrip_dataarray
properties.test_pandas_roundtrip ‑ test_roundtrip_dataset
properties.test_pandas_roundtrip ‑ test_roundtrip_pandas_dataframe
properties.test_pandas_roundtrip ‑ test_roundtrip_pandas_dataframe_datetime
properties.test_pandas_roundtrip ‑ test_roundtrip_pandas_series
properties.test_properties
properties.test_properties ‑ test_assert_identical
xarray.tests.test_accessor_dt ‑ test_calendar_cftime[360_day]
xarray.tests.test_accessor_dt ‑ test_calendar_cftime[365_day]
xarray.tests.test_accessor_dt ‑ test_calendar_cftime[366_day]
xarray.tests.test_accessor_dt ‑ test_calendar_cftime[all_leap]
xarray.tests.test_accessor_dt ‑ test_calendar_cftime[gregorian]
xarray.tests.test_accessor_dt ‑ test_calendar_cftime[julian]
xarray.tests.test_accessor_dt ‑ test_calendar_cftime[proleptic_gregorian]
xarray.tests.test_accessor_dt ‑ test_calendar_dask_cftime
xarray.tests.test_accessor_dt ‑ test_calendar_datetime64_2d
xarray.tests.test_accessor_dt ‑ test_calendar_datetime64_3d_dask
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[360_day-False]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[360_day-True]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[365_day-False]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[365_day-True]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[366_day-False]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[366_day-True]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[all_leap-False]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[all_leap-True]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[gregorian-False]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[gregorian-True]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[julian-False]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[julian-True]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[proleptic_gregorian-False]
xarray.tests.test_accessor_dt ‑ test_cftime_ceil_accessor[proleptic_gregorian-True]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[360_day-False]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[360_day-True]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[365_day-False]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[365_day-True]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[366_day-False]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[366_day-True]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[all_leap-False]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[all_leap-True]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[gregorian-False]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[gregorian-True]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[julian-False]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[julian-True]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[proleptic_gregorian-False]
xarray.tests.test_accessor_dt ‑ test_cftime_floor_accessor[proleptic_gregorian-True]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[360_day-False]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[360_day-True]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[365_day-False]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[365_day-True]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[366_day-False]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[366_day-True]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[all_leap-False]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[all_leap-True]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[gregorian-False]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[gregorian-True]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[julian-False]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[julian-True]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[proleptic_gregorian-False]
xarray.tests.test_accessor_dt ‑ test_cftime_round_accessor[proleptic_gregorian-True]
xarray.tests.test_accessor_dt ‑ test_cftime_strftime_access[360_day]
xarray.tests.test_accessor_dt ‑ test_cftime_strftime_access[365_day]
xarray.tests.test_accessor_dt ‑ test_cftime_strftime_access[366_day]
xarray.tests.test_accessor_dt ‑ test_cftime_strftime_access[all_leap]
xarray.tests.test_accessor_dt ‑ test_cftime_strftime_access[gregorian]
xarray.tests.test_accessor_dt ‑ test_cftime_strftime_access[julian]
xarray.tests.test_accessor_dt ‑ test_cftime_strftime_access[proleptic_gregorian]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[360_day-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[360_day-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[360_day-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[360_day-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[360_day-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[360_day-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[365_day-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[365_day-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[365_day-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[365_day-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[365_day-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[365_day-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[366_day-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[366_day-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[366_day-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[366_day-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[366_day-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[366_day-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[all_leap-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[all_leap-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[all_leap-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[all_leap-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[all_leap-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[all_leap-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[gregorian-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[gregorian-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[gregorian-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[gregorian-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[gregorian-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[gregorian-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[julian-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[julian-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[julian-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[julian-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[julian-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[julian-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[proleptic_gregorian-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[proleptic_gregorian-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[proleptic_gregorian-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[proleptic_gregorian-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[proleptic_gregorian-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access[proleptic_gregorian-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[360_day-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[360_day-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[360_day-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[360_day-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[360_day-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[360_day-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[365_day-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[365_day-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[365_day-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[365_day-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[365_day-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[365_day-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[366_day-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[366_day-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[366_day-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[366_day-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[366_day-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[366_day-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[all_leap-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[all_leap-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[all_leap-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[all_leap-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[all_leap-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[all_leap-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[gregorian-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[gregorian-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[gregorian-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[gregorian-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[gregorian-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[gregorian-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[julian-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[julian-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[julian-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[julian-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[julian-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[julian-year]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[proleptic_gregorian-day]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[proleptic_gregorian-dayofweek]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[proleptic_gregorian-dayofyear]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[proleptic_gregorian-hour]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[proleptic_gregorian-month]
xarray.tests.test_accessor_dt ‑ test_dask_field_access_1d[proleptic_gregorian-year]
xarray.tests.test_accessor_dt ‑ test_date_cftime[360_day]
xarray.tests.test_accessor_dt ‑ test_date_cftime[365_day]
xarray.tests.test_accessor_dt ‑ test_date_cftime[366_day]
xarray.tests.test_accessor_dt ‑ test_date_cftime[all_leap]
xarray.tests.test_accessor_dt ‑ test_date_cftime[gregorian]
xarray.tests.test_accessor_dt ‑ test_date_cftime[julian]
xarray.tests.test_accessor_dt ‑ test_date_cftime[proleptic_gregorian]
xarray.tests.test_accessor_dt ‑ test_decimal_year[use_dask=False-use_cftime=False]
xarray.tests.test_accessor_dt ‑ test_decimal_year[use_dask=False-use_cftime=True]
xarray.tests.test_accessor_dt ‑ test_decimal_year[use_dask=True-use_cftime=False]
xarray.tests.test_accessor_dt ‑ test_decimal_year[use_dask=True-use_cftime=True]
xarray.tests.test_accessor_dt ‑ test_field_access[360_day-day]
xarray.tests.test_accessor_dt ‑ test_field_access[360_day-dayofweek]
xarray.tests.test_accessor_dt ‑ test_field_access[360_day-dayofyear]
xarray.tests.test_accessor_dt ‑ test_field_access[360_day-hour]
xarray.tests.test_accessor_dt ‑ test_field_access[360_day-month]
xarray.tests.test_accessor_dt ‑ test_field_access[360_day-year]
xarray.tests.test_accessor_dt ‑ test_field_access[365_day-day]
xarray.tests.test_accessor_dt ‑ test_field_access[365_day-dayofweek]
xarray.tests.test_accessor_dt ‑ test_field_access[365_day-dayofyear]
xarray.tests.test_accessor_dt ‑ test_field_access[365_day-hour]
xarray.tests.test_accessor_dt ‑ test_field_access[365_day-month]
xarray.tests.test_accessor_dt ‑ test_field_access[365_day-year]
xarray.tests.test_accessor_dt ‑ test_field_access[366_day-day]
xarray.tests.test_accessor_dt ‑ test_field_access[366_day-dayofweek]
xarray.tests.test_accessor_dt ‑ test_field_access[366_day-dayofyear]
xarray.tests.test_accessor_dt ‑ test_field_access[366_day-hour]
xarray.tests.test_accessor_dt ‑ test_field_access[366_day-month]
xarray.tests.test_accessor_dt ‑ test_field_access[366_day-year]
xarray.tests.test_accessor_dt ‑ test_field_access[all_leap-day]
xarray.tests.test_accessor_dt ‑ test_field_access[all_leap-dayofweek]
xarray.tests.test_accessor_dt ‑ test_field_access[all_leap-dayofyear]
xarray.tests.test_accessor_dt ‑ test_field_access[all_leap-hour]
xarray.tests.test_accessor_dt ‑ test_field_access[all_leap-month]
xarray.tests.test_accessor_dt ‑ test_field_access[all_leap-year]
xarray.tests.test_accessor_dt ‑ test_field_access[gregorian-day]
xarray.tests.test_accessor_dt ‑ test_field_access[gregorian-dayofweek]
xarray.tests.test_accessor_dt ‑ test_field_access[gregorian-dayofyear]
xarray.tests.test_accessor_dt ‑ test_field_access[gregorian-hour]
xarray.tests.test_accessor_dt ‑ test_field_access[gregorian-month]
xarray.tests.test_accessor_dt ‑ test_field_access[gregorian-year]
xarray.tests.test_accessor_dt ‑ test_field_access[julian-day]
xarray.tests.test_accessor_dt ‑ test_field_access[julian-dayofweek]
xarray.tests.test_accessor_dt ‑ test_field_access[julian-dayofyear]
xarray.tests.test_accessor_dt ‑ test_field_access[julian-hour]
xarray.tests.test_accessor_dt ‑ test_field_access[julian-month]
xarray.tests.test_accessor_dt ‑ test_field_access[julian-year]
xarray.tests.test_accessor_dt ‑ test_field_access[proleptic_gregorian-day]
xarray.tests.test_accessor_dt ‑ test_field_access[proleptic_gregorian-dayofweek]
xarray.tests.test_accessor_dt ‑ test_field_access[proleptic_gregorian-dayofyear]
xarray.tests.test_accessor_dt ‑ test_field_access[proleptic_gregorian-hour]
xarray.tests.test_accessor_dt ‑ test_field_access[proleptic_gregorian-month]
xarray.tests.test_accessor_dt ‑ test_field_access[proleptic_gregorian-year]
xarray.tests.test_accessor_dt ‑ test_isocalendar_cftime[360_day]
xarray.tests.test_accessor_dt ‑ test_isocalendar_cftime[365_day]
xarray.tests.test_accessor_dt ‑ test_isocalendar_cftime[366_day]
xarray.tests.test_accessor_dt ‑ test_isocalendar_cftime[all_leap]
xarray.tests.test_accessor_dt ‑ test_isocalendar_cftime[gregorian]
xarray.tests.test_accessor_dt ‑ test_isocalendar_cftime[julian]
xarray.tests.test_accessor_dt ‑ test_isocalendar_cftime[proleptic_gregorian]
xarray.tests.test_accessor_dt ‑ test_seasons[360_day]
xarray.tests.test_accessor_dt ‑ test_seasons[365_day]
xarray.tests.test_accessor_dt ‑ test_seasons[366_day]
xarray.tests.test_accessor_dt ‑ test_seasons[all_leap]
xarray.tests.test_accessor_dt ‑ test_seasons[gregorian]
xarray.tests.test_accessor_dt ‑ test_seasons[julian]
xarray.tests.test_accessor_dt ‑ test_seasons[proleptic_gregorian]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_accessor_method[ceil-D]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_accessor_method[floor-D]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_accessor_method[round-D]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_calendar
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_accessor_method[ceil-D]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_accessor_method[floor-D]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_accessor_method[round-D]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_accessor_method[strftime-%Y-%m-%d %H:%M:%S]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[date]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[day]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[dayofweek]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[dayofyear]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[days_in_year]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[hour]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[is_leap_year]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[is_month_end]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[is_month_start]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[is_quarter_end]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[is_quarter_start]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[is_year_end]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[is_year_start]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[microsecond]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[minute]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[month]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[nanosecond]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[quarter]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[second]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[time]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[week]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[weekday]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[weekofyear]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_dask_field_access[year]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_days_in_year[360_day-360]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_days_in_year[all_leap-366]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_days_in_year[noleap-365]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_days_in_year[standard-366]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[date]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[day]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[dayofweek]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[dayofyear]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[days_in_month]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[daysinmonth]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[hour]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[is_leap_year]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[is_month_end]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[is_month_start]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[is_quarter_end]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[is_quarter_start]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[is_year_end]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[is_year_start]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[microsecond]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[minute]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[month]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[nanosecond]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[quarter]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[second]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[time]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[week]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[weekday]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[weekofyear]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_field_access[year]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_isocalendar[week-week]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_isocalendar[weekday-day]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_isocalendar[year-year]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_isocalendar_dask[week]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_isocalendar_dask[weekday]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_isocalendar_dask[year]
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_not_datetime_type
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_seasons
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_strftime
xarray.tests.test_accessor_dt.TestDatetimeAccessor ‑ test_total_seconds
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_accessor_methods[ceil-D]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_accessor_methods[floor-D]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_accessor_methods[round-D]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_dask_accessor_method[ceil-D]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_dask_accessor_method[floor-D]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_dask_accessor_method[round-D]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_dask_field_access[days]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_dask_field_access[microseconds]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_dask_field_access[nanoseconds]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_dask_field_access[seconds]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_field_access[days]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_field_access[microseconds]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_field_access[nanoseconds]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_field_access[seconds]
xarray.tests.test_accessor_dt.TestTimedeltaAccessor ‑ test_not_datetime_type
xarray.tests.test_accessor_str ‑ test_case_bytes
xarray.tests.test_accessor_str ‑ test_case_str
xarray.tests.test_accessor_str ‑ test_cat_broadcast_both[bytes]
xarray.tests.test_accessor_str ‑ test_cat_broadcast_both[str]
xarray.tests.test_accessor_str ‑ test_cat_broadcast_left[bytes]
xarray.tests.test_accessor_str ‑ test_cat_broadcast_left[str]
xarray.tests.test_accessor_str ‑ test_cat_broadcast_right[bytes]
xarray.tests.test_accessor_str ‑ test_cat_broadcast_right[str]
xarray.tests.test_accessor_str ‑ test_cat_multi
xarray.tests.test_accessor_str ‑ test_cat_str[bytes]
xarray.tests.test_accessor_str ‑ test_cat_str[str]
xarray.tests.test_accessor_str ‑ test_cat_uniform[bytes]
xarray.tests.test_accessor_str ‑ test_cat_uniform[str]
xarray.tests.test_accessor_str ‑ test_contains[bytes]
xarray.tests.test_accessor_str ‑ test_contains[str]
xarray.tests.test_accessor_str ‑ test_contains_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_contains_broadcast[str]
xarray.tests.test_accessor_str ‑ test_count[bytes]
xarray.tests.test_accessor_str ‑ test_count[str]
xarray.tests.test_accessor_str ‑ test_count_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_count_broadcast[str]
xarray.tests.test_accessor_str ‑ test_dask
xarray.tests.test_accessor_str ‑ test_empty_str_methods
xarray.tests.test_accessor_str ‑ test_encode_decode
xarray.tests.test_accessor_str ‑ test_encode_decode_errors
xarray.tests.test_accessor_str ‑ test_extract_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_extract_broadcast[str]
xarray.tests.test_accessor_str ‑ test_extract_extractall_findall_case_re_raises[bytes]
xarray.tests.test_accessor_str ‑ test_extract_extractall_findall_case_re_raises[str]
xarray.tests.test_accessor_str ‑ test_extract_extractall_findall_empty_raises[bytes]
xarray.tests.test_accessor_str ‑ test_extract_extractall_findall_empty_raises[str]
xarray.tests.test_accessor_str ‑ test_extract_extractall_name_collision_raises[bytes]
xarray.tests.test_accessor_str ‑ test_extract_extractall_name_collision_raises[str]
xarray.tests.test_accessor_str ‑ test_extract_multi_None_raises[bytes]
xarray.tests.test_accessor_str ‑ test_extract_multi_None_raises[str]
xarray.tests.test_accessor_str ‑ test_extract_multi_case[bytes]
xarray.tests.test_accessor_str ‑ test_extract_multi_case[str]
xarray.tests.test_accessor_str ‑ test_extract_multi_nocase[bytes]
xarray.tests.test_accessor_str ‑ test_extract_multi_nocase[str]
xarray.tests.test_accessor_str ‑ test_extract_single_case[bytes]
xarray.tests.test_accessor_str ‑ test_extract_single_case[str]
xarray.tests.test_accessor_str ‑ test_extract_single_nocase[bytes]
xarray.tests.test_accessor_str ‑ test_extract_single_nocase[str]
xarray.tests.test_accessor_str ‑ test_extractall_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_extractall_broadcast[str]
xarray.tests.test_accessor_str ‑ test_extractall_multi_multi_case[bytes]
xarray.tests.test_accessor_str ‑ test_extractall_multi_multi_case[str]
xarray.tests.test_accessor_str ‑ test_extractall_multi_multi_nocase[bytes]
xarray.tests.test_accessor_str ‑ test_extractall_multi_multi_nocase[str]
xarray.tests.test_accessor_str ‑ test_extractall_multi_single_case[bytes]
xarray.tests.test_accessor_str ‑ test_extractall_multi_single_case[str]
xarray.tests.test_accessor_str ‑ test_extractall_multi_single_nocase[bytes]
xarray.tests.test_accessor_str ‑ test_extractall_multi_single_nocase[str]
xarray.tests.test_accessor_str ‑ test_extractall_single_multi_case[bytes]
xarray.tests.test_accessor_str ‑ test_extractall_single_multi_case[str]
xarray.tests.test_accessor_str ‑ test_extractall_single_multi_nocase[bytes]
xarray.tests.test_accessor_str ‑ test_extractall_single_multi_nocase[str]
xarray.tests.test_accessor_str ‑ test_extractall_single_single_case[bytes]
xarray.tests.test_accessor_str ‑ test_extractall_single_single_case[str]
xarray.tests.test_accessor_str ‑ test_extractall_single_single_nocase[bytes]
xarray.tests.test_accessor_str ‑ test_extractall_single_single_nocase[str]
xarray.tests.test_accessor_str ‑ test_find[bytes]
xarray.tests.test_accessor_str ‑ test_find[str]
xarray.tests.test_accessor_str ‑ test_find_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_find_broadcast[str]
xarray.tests.test_accessor_str ‑ test_findall_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_findall_broadcast[str]
xarray.tests.test_accessor_str ‑ test_findall_multi_multi_case[bytes]
xarray.tests.test_accessor_str ‑ test_findall_multi_multi_case[str]
xarray.tests.test_accessor_str ‑ test_findall_multi_multi_nocase[bytes]
xarray.tests.test_accessor_str ‑ test_findall_multi_multi_nocase[str]
xarray.tests.test_accessor_str ‑ test_findall_multi_single_case[bytes]
xarray.tests.test_accessor_str ‑ test_findall_multi_single_case[str]
xarray.tests.test_accessor_str ‑ test_findall_multi_single_nocase[bytes]
xarray.tests.test_accessor_str ‑ test_findall_multi_single_nocase[str]
xarray.tests.test_accessor_str ‑ test_findall_single_multi_case[bytes]
xarray.tests.test_accessor_str ‑ test_findall_single_multi_case[str]
xarray.tests.test_accessor_str ‑ test_findall_single_multi_nocase[bytes]
xarray.tests.test_accessor_str ‑ test_findall_single_multi_nocase[str]
xarray.tests.test_accessor_str ‑ test_findall_single_single_case[bytes]
xarray.tests.test_accessor_str ‑ test_findall_single_single_case[str]
xarray.tests.test_accessor_str ‑ test_findall_single_single_nocase[bytes]
xarray.tests.test_accessor_str ‑ test_findall_single_single_nocase[str]
xarray.tests.test_accessor_str ‑ test_format_broadcast
xarray.tests.test_accessor_str ‑ test_format_scalar
xarray.tests.test_accessor_str ‑ test_get[bytes]
xarray.tests.test_accessor_str ‑ test_get[str]
xarray.tests.test_accessor_str ‑ test_get_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_get_broadcast[str]
xarray.tests.test_accessor_str ‑ test_get_default[bytes]
xarray.tests.test_accessor_str ‑ test_get_default[str]
xarray.tests.test_accessor_str ‑ test_get_dummies[bytes]
xarray.tests.test_accessor_str ‑ test_get_dummies[str]
xarray.tests.test_accessor_str ‑ test_get_dummies_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_get_dummies_broadcast[str]
xarray.tests.test_accessor_str ‑ test_get_dummies_empty[bytes]
xarray.tests.test_accessor_str ‑ test_get_dummies_empty[str]
xarray.tests.test_accessor_str ‑ test_index[bytes]
xarray.tests.test_accessor_str ‑ test_index[str]
xarray.tests.test_accessor_str ‑ test_index_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_index_broadcast[str]
xarray.tests.test_accessor_str ‑ test_ismethods[bytes-isalnum]
xarray.tests.test_accessor_str ‑ test_ismethods[bytes-isalpha]
xarray.tests.test_accessor_str ‑ test_ismethods[bytes-isdigit]
xarray.tests.test_accessor_str ‑ test_ismethods[bytes-islower]
xarray.tests.test_accessor_str ‑ test_ismethods[bytes-isspace]
xarray.tests.test_accessor_str ‑ test_ismethods[bytes-istitle]
xarray.tests.test_accessor_str ‑ test_ismethods[bytes-isupper]
xarray.tests.test_accessor_str ‑ test_ismethods[str-isalnum]
xarray.tests.test_accessor_str ‑ test_ismethods[str-isalpha]
xarray.tests.test_accessor_str ‑ test_ismethods[str-isdigit]
xarray.tests.test_accessor_str ‑ test_ismethods[str-islower]
xarray.tests.test_accessor_str ‑ test_ismethods[str-isspace]
xarray.tests.test_accessor_str ‑ test_ismethods[str-istitle]
xarray.tests.test_accessor_str ‑ test_ismethods[str-isupper]
xarray.tests.test_accessor_str ‑ test_isnumeric
xarray.tests.test_accessor_str ‑ test_join_2d[bytes]
xarray.tests.test_accessor_str ‑ test_join_2d[str]
xarray.tests.test_accessor_str ‑ test_join_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_join_broadcast[str]
xarray.tests.test_accessor_str ‑ test_join_scalar[bytes]
xarray.tests.test_accessor_str ‑ test_join_scalar[str]
xarray.tests.test_accessor_str ‑ test_join_vector[bytes]
xarray.tests.test_accessor_str ‑ test_join_vector[str]
xarray.tests.test_accessor_str ‑ test_len[bytes]
xarray.tests.test_accessor_str ‑ test_len[str]
xarray.tests.test_accessor_str ‑ test_match[bytes]
xarray.tests.test_accessor_str ‑ test_match[str]
xarray.tests.test_accessor_str ‑ test_mod_broadcast_multi
xarray.tests.test_accessor_str ‑ test_mod_broadcast_single
xarray.tests.test_accessor_str ‑ test_mod_dict
xarray.tests.test_accessor_str ‑ test_mod_scalar
xarray.tests.test_accessor_str ‑ test_pad_center_ljust_rjust[bytes]
xarray.tests.test_accessor_str ‑ test_pad_center_ljust_rjust[str]
xarray.tests.test_accessor_str ‑ test_pad_center_ljust_rjust_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_pad_center_ljust_rjust_broadcast[str]
xarray.tests.test_accessor_str ‑ test_pad_center_ljust_rjust_fillchar[bytes]
xarray.tests.test_accessor_str ‑ test_pad_center_ljust_rjust_fillchar[str]
xarray.tests.test_accessor_str ‑ test_partition_comma[bytes]
xarray.tests.test_accessor_str ‑ test_partition_comma[str]
xarray.tests.test_accessor_str ‑ test_partition_empty[bytes]
xarray.tests.test_accessor_str ‑ test_partition_empty[str]
xarray.tests.test_accessor_str ‑ test_partition_whitespace[bytes]
xarray.tests.test_accessor_str ‑ test_partition_whitespace[str]
xarray.tests.test_accessor_str ‑ test_repeat[bytes]
xarray.tests.test_accessor_str ‑ test_repeat[str]
xarray.tests.test_accessor_str ‑ test_repeat_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_repeat_broadcast[str]
xarray.tests.test_accessor_str ‑ test_replace[bytes]
xarray.tests.test_accessor_str ‑ test_replace[str]
xarray.tests.test_accessor_str ‑ test_replace_callable
xarray.tests.test_accessor_str ‑ test_replace_compiled_regex[bytes]
xarray.tests.test_accessor_str ‑ test_replace_compiled_regex[str]
xarray.tests.test_accessor_str ‑ test_replace_literal[bytes]
xarray.tests.test_accessor_str ‑ test_replace_literal[str]
xarray.tests.test_accessor_str ‑ test_replace_unicode
xarray.tests.test_accessor_str ‑ test_slice[bytes]
xarray.tests.test_accessor_str ‑ test_slice[str]
xarray.tests.test_accessor_str ‑ test_slice_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_slice_broadcast[str]
xarray.tests.test_accessor_str ‑ test_slice_replace[bytes]
xarray.tests.test_accessor_str ‑ test_slice_replace[str]
xarray.tests.test_accessor_str ‑ test_slice_replace_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_slice_replace_broadcast[str]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[bytes-rsplit_10]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[bytes-rsplit_1]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[bytes-rsplit_full]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[bytes-split_10]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[bytes-split_1]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[bytes-split_full]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[str-rsplit_10]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[str-rsplit_1]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[str-rsplit_full]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[str-split_10]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[str-split_1]
xarray.tests.test_accessor_str ‑ test_split_comma_dim[str-split_full]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[bytes-rsplit_10]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[bytes-rsplit_1]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[bytes-rsplit_full]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[bytes-split_10]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[bytes-split_1]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[bytes-split_full]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[str-rsplit_10]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[str-rsplit_1]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[str-rsplit_full]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[str-split_10]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[str-split_1]
xarray.tests.test_accessor_str ‑ test_split_comma_nodim[str-split_full]
xarray.tests.test_accessor_str ‑ test_split_empty[bytes]
xarray.tests.test_accessor_str ‑ test_split_empty[str]
xarray.tests.test_accessor_str ‑ test_split_whitespace_dim[bytes-rsplit_1]
xarray.tests.test_accessor_str ‑ test_split_whitespace_dim[bytes-rsplit_full]
xarray.tests.test_accessor_str ‑ test_split_whitespace_dim[bytes-split_1]
xarray.tests.test_accessor_str ‑ test_split_whitespace_dim[bytes-split_full]
xarray.tests.test_accessor_str ‑ test_split_whitespace_dim[str-rsplit_1]
xarray.tests.test_accessor_str ‑ test_split_whitespace_dim[str-rsplit_full]
xarray.tests.test_accessor_str ‑ test_split_whitespace_dim[str-split_1]
xarray.tests.test_accessor_str ‑ test_split_whitespace_dim[str-split_full]
xarray.tests.test_accessor_str ‑ test_split_whitespace_nodim[bytes-rsplit_1]
xarray.tests.test_accessor_str ‑ test_split_whitespace_nodim[bytes-rsplit_full]
xarray.tests.test_accessor_str ‑ test_split_whitespace_nodim[bytes-split_1]
xarray.tests.test_accessor_str ‑ test_split_whitespace_nodim[bytes-split_full]
xarray.tests.test_accessor_str ‑ test_split_whitespace_nodim[str-rsplit_1]
xarray.tests.test_accessor_str ‑ test_split_whitespace_nodim[str-rsplit_full]
xarray.tests.test_accessor_str ‑ test_split_whitespace_nodim[str-split_1]
xarray.tests.test_accessor_str ‑ test_split_whitespace_nodim[str-split_full]
xarray.tests.test_accessor_str ‑ test_splitters_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_splitters_broadcast[str]
xarray.tests.test_accessor_str ‑ test_splitters_empty_str[bytes]
xarray.tests.test_accessor_str ‑ test_splitters_empty_str[str]
xarray.tests.test_accessor_str ‑ test_starts_ends_with[bytes]
xarray.tests.test_accessor_str ‑ test_starts_ends_with[str]
xarray.tests.test_accessor_str ‑ test_starts_ends_with_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_starts_ends_with_broadcast[str]
xarray.tests.test_accessor_str ‑ test_strip_lstrip_rstrip[bytes]
xarray.tests.test_accessor_str ‑ test_strip_lstrip_rstrip[str]
xarray.tests.test_accessor_str ‑ test_strip_lstrip_rstrip_args[bytes]
xarray.tests.test_accessor_str ‑ test_strip_lstrip_rstrip_args[str]
xarray.tests.test_accessor_str ‑ test_strip_lstrip_rstrip_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_strip_lstrip_rstrip_broadcast[str]
xarray.tests.test_accessor_str ‑ test_translate
xarray.tests.test_accessor_str ‑ test_wrap
xarray.tests.test_accessor_str ‑ test_wrap_kwargs_passed
xarray.tests.test_accessor_str ‑ test_zfill[bytes]
xarray.tests.test_accessor_str ‑ test_zfill[str]
xarray.tests.test_accessor_str ‑ test_zfill_broadcast[bytes]
xarray.tests.test_accessor_str ‑ test_zfill_broadcast[str]
xarray.tests.test_array_api
xarray.tests.test_array_api ‑ test_aggregation
xarray.tests.test_array_api ‑ test_aggregation_skipna
xarray.tests.test_array_api ‑ test_arithmetic
xarray.tests.test_array_api ‑ test_astype
xarray.tests.test_array_api ‑ test_broadcast
xarray.tests.test_array_api ‑ test_broadcast_during_arithmetic
xarray.tests.test_array_api ‑ test_concat
xarray.tests.test_array_api ‑ test_indexing
xarray.tests.test_array_api ‑ test_properties
xarray.tests.test_array_api ‑ test_reorganizing_operation
xarray.tests.test_array_api ‑ test_stack
xarray.tests.test_array_api ‑ test_unstack
xarray.tests.test_array_api ‑ test_where
xarray.tests.test_assertions ‑ test_allclose_regression
xarray.tests.test_assertions ‑ test_assert_allclose[DataArray]
xarray.tests.test_assertions ‑ test_assert_allclose[DataArray_with_character_dtype]
xarray.tests.test_assertions ‑ test_assert_allclose[Dataset]
xarray.tests.test_assertions ‑ test_assert_allclose[Variable]
xarray.tests.test_assertions ‑ test_assert_allclose_equal_transpose[assert_allclose]
xarray.tests.test_assertions ‑ test_assert_allclose_equal_transpose[assert_equal]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal[both arrays-dask]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal[both arrays-numpy]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal[both arrays-pint]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal[first scalar-dask]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal[first scalar-numpy]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal[first scalar-pint]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal[second scalar-dask]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal[second scalar-numpy]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal[second scalar-pint]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal_failing[both arrays-dask]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal_failing[both arrays-numpy]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal_failing[both arrays-pint]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal_failing[first scalar-dask]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal_failing[first scalar-numpy]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal_failing[first scalar-pint]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal_failing[second scalar-dask]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal_failing[second scalar-numpy]
xarray.tests.test_assertions ‑ test_assert_duckarray_equal_failing[second scalar-pint]
xarray.tests.test_assertions ‑ test_ensure_warnings_not_elevated[assert_allclose]
xarray.tests.test_assertions ‑ test_ensure_warnings_not_elevated[assert_duckarray_allclose]
xarray.tests.test_assertions ‑ test_ensure_warnings_not_elevated[assert_duckarray_equal]
xarray.tests.test_assertions ‑ test_ensure_warnings_not_elevated[assert_equal]
xarray.tests.test_assertions ‑ test_ensure_warnings_not_elevated[assert_identical]
xarray.tests.test_backends ‑ test_chunking_consintency[-1]
xarray.tests.test_backends ‑ test_chunking_consintency[auto]
xarray.tests.test_backends ‑ test_chunking_consintency[chunks2]
xarray.tests.test_backends ‑ test_chunking_consintency[chunks3]
xarray.tests.test_backends ‑ test_chunking_consintency[chunks4]
xarray.tests.test_backends ‑ test_chunking_consintency[chunks5]
xarray.tests.test_backends ‑ test_encode_zarr_attr_value
xarray.tests.test_backends ‑ test_extract_zarr_variable_encoding
xarray.tests.test_backends ‑ test_h5netcdf_entrypoint
xarray.tests.test_backends ‑ test_h5netcdf_storage_options
xarray.tests.test_backends ‑ test_invalid_netcdf_raises[netcdf4]
xarray.tests.test_backends ‑ test_invalid_netcdf_raises[scipy]
xarray.tests.test_backends ‑ test_load_single_value_h5netcdf
xarray.tests.test_backends ‑ test_netcdf4_entrypoint
xarray.tests.test_backends ‑ test_no_warning_from_dask_effective_get
xarray.tests.test_backends ‑ test_open_dataset_chunking_zarr[-1]
xarray.tests.test_backends ‑ test_open_dataset_chunking_zarr[auto]
xarray.tests.test_backends ‑ test_open_dataset_chunking_zarr[chunks2]
xarray.tests.test_backends ‑ test_open_dataset_chunking_zarr[chunks3]
xarray.tests.test_backends ‑ test_open_dataset_chunking_zarr[chunks4]
xarray.tests.test_backends ‑ test_open_dataset_chunking_zarr[chunks5]
xarray.tests.test_backends ‑ test_open_fsspec
xarray.tests.test_backends ‑ test_open_mfdataset_can_open_path_objects
xarray.tests.test_backends ‑ test_open_mfdataset_list_attr
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-1-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[h5netcdf-20-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-1-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[netcdf4-20-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-1-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[scipy-20-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-1-True-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-False-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-False-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-False-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-False-None-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-True-5-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-True-5-None]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-True-None-5]
xarray.tests.test_backends ‑ test_open_mfdataset_manyfiles[zarr-20-True-None-None]
xarray.tests.test_backends ‑ test_pickle_open_mfdataset_dataset[2]
xarray.tests.test_backends ‑ test_pickle_open_mfdataset_dataset[default_zarr_version0]
xarray.tests.test_backends ‑ test_scipy_entrypoint
xarray.tests.test_backends ‑ test_source_encoding_always_present
xarray.tests.test_backends ‑ test_source_encoding_always_present_with_fsspec
xarray.tests.test_backends ‑ test_source_encoding_always_present_with_pathlib
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[1500-360_day]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[1500-365_day]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[1500-366_day]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[1500-all_leap]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[1500-julian]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[1500-noleap]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2000-360_day]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2000-365_day]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2000-366_day]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2000-all_leap]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2000-julian]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2000-noleap]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2500-360_day]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2500-365_day]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2500-366_day]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2500-all_leap]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2500-julian]
xarray.tests.test_backends ‑ test_use_cftime_false_nonstandard_calendar[2500-noleap]
xarray.tests.test_backends ‑ test_use_cftime_false_standard_calendar_in_range[gregorian]
xarray.tests.test_backends ‑ test_use_cftime_false_standard_calendar_in_range[proleptic_gregorian]
xarray.tests.test_backends ‑ test_use_cftime_false_standard_calendar_in_range[standard]
xarray.tests.test_backends ‑ test_use_cftime_false_standard_calendar_out_of_range[1500-gregorian]
xarray.tests.test_backends ‑ test_use_cftime_false_standard_calendar_out_of_range[1500-proleptic_gregorian]
xarray.tests.test_backends ‑ test_use_cftime_false_standard_calendar_out_of_range[1500-standard]
xarray.tests.test_backends ‑ test_use_cftime_false_standard_calendar_out_of_range[2500-gregorian]
xarray.tests.test_backends ‑ test_use_cftime_false_standard_calendar_out_of_range[2500-proleptic_gregorian]
xarray.tests.test_backends ‑ test_use_cftime_false_standard_calendar_out_of_range[2500-standard]
xarray.tests.test_backends ‑ test_use_cftime_standard_calendar_default_in_range[gregorian]
xarray.tests.test_backends ‑ test_use_cftime_standard_calendar_default_in_range[proleptic_gregorian]
xarray.tests.test_backends ‑ test_use_cftime_standard_calendar_default_in_range[standard]
xarray.tests.test_backends ‑ test_use_cftime_standard_calendar_default_out_of_range[1500-gregorian]
xarray.tests.test_backends ‑ test_use_cftime_standard_calendar_default_out_of_range[1500-proleptic_gregorian]
xarray.tests.test_backends ‑ test_use_cftime_standard_calendar_default_out_of_range[1500-standard]
xarray.tests.test_backends ‑ test_use_cftime_standard_calendar_default_out_of_range[2500-gregorian]
xarray.tests.test_backends ‑ test_use_cftime_standard_calendar_default_out_of_range[2500-proleptic_gregorian]
xarray.tests.test_backends ‑ test_use_cftime_standard_calendar_default_out_of_range[2500-standard]
xarray.tests.test_backends ‑ test_use_cftime_true[1500-360_day]
xarray.tests.test_backends ‑ test_use_cftime_true[1500-365_day]
xarray.tests.test_backends ‑ test_use_cftime_true[1500-366_day]
xarray.tests.test_backends ‑ test_use_cftime_true[1500-all_leap]
xarray.tests.test_backends ‑ test_use_cftime_true[1500-gregorian]
xarray.tests.test_backends ‑ test_use_cftime_true[1500-julian]
xarray.tests.test_backends ‑ test_use_cftime_true[1500-noleap]
xarray.tests.test_backends ‑ test_use_cftime_true[1500-proleptic_gregorian]
xarray.tests.test_backends ‑ test_use_cftime_true[1500-standard]
xarray.tests.test_backends ‑ test_use_cftime_true[2000-360_day]
xarray.tests.test_backends ‑ test_use_cftime_true[2000-365_day]
xarray.tests.test_backends ‑ test_use_cftime_true[2000-366_day]
xarray.tests.test_backends ‑ test_use_cftime_true[2000-all_leap]
xarray.tests.test_backends ‑ test_use_cftime_true[2000-gregorian]
xarray.tests.test_backends ‑ test_use_cftime_true[2000-julian]
xarray.tests.test_backends ‑ test_use_cftime_true[2000-noleap]
xarray.tests.test_backends ‑ test_use_cftime_true[2000-proleptic_gregorian]
xarray.tests.test_backends ‑ test_use_cftime_true[2000-standard]
xarray.tests.test_backends ‑ test_use_cftime_true[2500-360_day]
xarray.tests.test_backends ‑ test_use_cftime_true[2500-365_day]
xarray.tests.test_backends ‑ test_use_cftime_true[2500-366_day]
xarray.tests.test_backends ‑ test_use_cftime_true[2500-all_leap]
xarray.tests.test_backends ‑ test_use_cftime_true[2500-gregorian]
xarray.tests.test_backends ‑ test_use_cftime_true[2500-julian]
xarray.tests.test_backends ‑ test_use_cftime_true[2500-noleap]
xarray.tests.test_backends ‑ test_use_cftime_true[2500-proleptic_gregorian]
xarray.tests.test_backends ‑ test_use_cftime_true[2500-standard]
xarray.tests.test_backends ‑ test_write_file_from_np_str[str]
xarray.tests.test_backends ‑ test_write_file_from_np_str[str_]
xarray.tests.test_backends ‑ test_zarr_append_chunk_partial[2]
xarray.tests.test_backends ‑ test_zarr_append_chunk_partial[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_closing_internal_zip_store[2]
xarray.tests.test_backends ‑ test_zarr_closing_internal_zip_store[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_region[2]
xarray.tests.test_backends ‑ test_zarr_region[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_region_chunk_partial[2]
xarray.tests.test_backends ‑ test_zarr_region_chunk_partial[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_region_chunk_partial_offset[2]
xarray.tests.test_backends ‑ test_zarr_region_chunk_partial_offset[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_safe_chunk_append_dim[2]
xarray.tests.test_backends ‑ test_zarr_safe_chunk_append_dim[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_safe_chunk_region[2]
xarray.tests.test_backends ‑ test_zarr_safe_chunk_region[default_zarr_version0]
xarray.tests.test_backends ‑ test_zarr_storage_options
xarray.tests.test_backends ‑ test_zarr_version_deprecated
xarray.tests.test_backends.TestCommon ‑ test_robust_getitem
xarray.tests.test_backends.TestDask ‑ test_array_type_after_indexing
xarray.tests.test_backends.TestDask ‑ test_attrs_mfdataset
xarray.tests.test_backends.TestDask ‑ test_dask_roundtrip
xarray.tests.test_backends.TestDask ‑ test_dataarray_compute
xarray.tests.test_backends.TestDask ‑ test_dataset_caching
xarray.tests.test_backends.TestDask ‑ test_dataset_compute
xarray.tests.test_backends.TestDask ‑ test_deterministic_names
xarray.tests.test_backends.TestDask ‑ test_dropna
xarray.tests.test_backends.TestDask ‑ test_encoding_mfdataset
xarray.tests.test_backends.TestDask ‑ test_inline_array
xarray.tests.test_backends.TestDask ‑ test_isel_dataarray
xarray.tests.test_backends.TestDask ‑ test_load
xarray.tests.test_backends.TestDask ‑ test_load_dataarray
xarray.tests.test_backends.TestDask ‑ test_load_dataset
xarray.tests.test_backends.TestDask ‑ test_ondisk_after_print
xarray.tests.test_backends.TestDask ‑ test_open_and_do_math
xarray.tests.test_backends.TestDask ‑ test_open_dataset
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_2
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_2d
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_2d_pathlib
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_attrs_file
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_attrs_file_path
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_auto_combine
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_concat_dim_default_none
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_concat_dim_none
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_no_files
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_pathlib
xarray.tests.test_backends.TestDask ‑ test_open_mfdataset_raise_on_bad_combine_args
xarray.tests.test_backends.TestDask ‑ test_open_multi_dataset
xarray.tests.test_backends.TestDask ‑ test_open_single_dataset
xarray.tests.test_backends.TestDask ‑ test_orthogonal_indexing
xarray.tests.test_backends.TestDask ‑ test_outer_indexing_reversed
xarray.tests.test_backends.TestDask ‑ test_pickle
xarray.tests.test_backends.TestDask ‑ test_pickle_dataarray
xarray.tests.test_backends.TestDask ‑ test_preprocess_mfdataset
xarray.tests.test_backends.TestDask ‑ test_roundtrip_None_variable
xarray.tests.test_backends.TestDask ‑ test_roundtrip_boolean_dtype
xarray.tests.test_backends.TestDask ‑ test_roundtrip_cftime_datetime_data
xarray.tests.test_backends.TestDask ‑ test_roundtrip_coordinates
xarray.tests.test_backends.TestDask ‑ test_roundtrip_coordinates_with_space
xarray.tests.test_backends.TestDask ‑ test_roundtrip_example_1_netcdf
xarray.tests.test_backends.TestDask ‑ test_roundtrip_float64_data
xarray.tests.test_backends.TestDask ‑ test_roundtrip_global_coordinates
xarray.tests.test_backends.TestDask ‑ test_roundtrip_numpy_datetime_data
xarray.tests.test_backends.TestDask ‑ test_roundtrip_object_dtype
xarray.tests.test_backends.TestDask ‑ test_roundtrip_string_data
xarray.tests.test_backends.TestDask ‑ test_roundtrip_string_encoded_characters
xarray.tests.test_backends.TestDask ‑ test_roundtrip_test_data
xarray.tests.test_backends.TestDask ‑ test_roundtrip_timedelta_data
xarray.tests.test_backends.TestDask ‑ test_save_mfdataset_compute_false_roundtrip
xarray.tests.test_backends.TestDask ‑ test_save_mfdataset_invalid
xarray.tests.test_backends.TestDask ‑ test_save_mfdataset_invalid_dataarray
xarray.tests.test_backends.TestDask ‑ test_save_mfdataset_pass_kwargs
xarray.tests.test_backends.TestDask ‑ test_save_mfdataset_pathlib_roundtrip
xarray.tests.test_backends.TestDask ‑ test_save_mfdataset_roundtrip
xarray.tests.test_backends.TestDask ‑ test_vectorized_indexing
xarray.tests.test_backends.TestDask ‑ test_vectorized_indexing_negative_step
xarray.tests.test_backends.TestDask ‑ test_write_store
xarray.tests.test_backends.TestDask ‑ test_zero_dimensional_variable
xarray.tests.test_backends.TestDataArrayToNetCDF ‑ test_dataarray_to_netcdf_coord_name_clash
xarray.tests.test_backends.TestDataArrayToNetCDF ‑ test_dataarray_to_netcdf_no_name
xarray.tests.test_backends.TestDataArrayToNetCDF ‑ test_dataarray_to_netcdf_no_name_pathlib
xarray.tests.test_backends.TestDataArrayToNetCDF ‑ test_dataarray_to_netcdf_return_bytes
xarray.tests.test_backends.TestDataArrayToNetCDF ‑ test_dataarray_to_netcdf_with_name
xarray.tests.test_backends.TestDataArrayToNetCDF ‑ test_open_dataarray_options
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_compute_false[Dict]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_compute_false[ZipStore]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_compute_false[tmp_path]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_coord_name_clash[Dict]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_coord_name_clash[ZipStore]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_coord_name_clash[tmp_path]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_no_name[Dict]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_no_name[ZipStore]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_no_name[tmp_path]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_with_name[Dict]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_with_name[ZipStore]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_dataarray_to_zarr_with_name[tmp_path]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_open_dataarray_options[Dict]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_open_dataarray_options[ZipStore]
xarray.tests.test_backends.TestDataArrayToZarr ‑ test_open_dataarray_options[tmp_path]
xarray.tests.test_backends.TestEncodingInvalid ‑ test_extract_h5nc_encoding
xarray.tests.test_backends.TestEncodingInvalid ‑ test_extract_nc4_variable_encoding
xarray.tests.test_backends.TestEncodingInvalid ‑ test_extract_nc4_variable_encoding_netcdf4
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_append_overwrite_values
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_append_with_invalid_dim_raises
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_append_write
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_array_type_after_indexing
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_coordinate_variables_after_dataset_roundtrip
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_coordinate_variables_after_iris_roundtrip
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_coordinates_encoding
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_cross_engine_read_write_netcdf3
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_dataset_caching
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_dataset_compute
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_default_fill_value
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_dropna
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_dtype_coercion_error
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_encoding_kwarg
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_encoding_kwarg_dates
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_encoding_kwarg_fixed_width_string
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_encoding_same_dtype
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_encoding_unlimited_dims
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_engine
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_explicitly_omit_fill_value
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_explicitly_omit_fill_value_in_coord
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_explicitly_omit_fill_value_in_coord_via_encoding_kwarg
xarray.tests.test_backends.TestGenericNetCDFData ‑ test_explicitly_omit_fill_value_via_encoding_kwarg