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- Doctests fixes · 6 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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| 597085649 | https://github.com/pydata/xarray/pull/3846#issuecomment-597085649 | https://api.github.com/repos/pydata/xarray/issues/3846 | MDEyOklzc3VlQ29tbWVudDU5NzA4NTY0OQ== | keewis 14808389 | 2020-03-10T13:29:04Z | 2020-03-10T13:29:04Z | MEMBER | sounds good. By then I might also have the CLI ready so we hopefully could then use it the same way we use Also note that it currently requires valid doctest lines. There is at least one instance in the code where that is not true (a missing continuation line prompt ( |
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Doctests fixes 577283480 | |
| 596883896 | https://github.com/pydata/xarray/pull/3846#issuecomment-596883896 | https://api.github.com/repos/pydata/xarray/issues/3846 | MDEyOklzc3VlQ29tbWVudDU5Njg4Mzg5Ng== | max-sixty 5635139 | 2020-03-10T03:30:49Z | 2020-03-10T03:30:49Z | MEMBER | That's awesome @keewis ! Cool tool... Shall I merge this and then you do a PR with those changes on top? And from there we can start adding subset of the files to run in CI? |
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Doctests fixes 577283480 | |
| 596859274 | https://github.com/pydata/xarray/pull/3846#issuecomment-596859274 | https://api.github.com/repos/pydata/xarray/issues/3846 | MDEyOklzc3VlQ29tbWVudDU5Njg1OTI3NA== | keewis 14808389 | 2020-03-10T01:45:22Z | 2020-03-10T01:45:22Z | MEMBER | The tool is at https://github.com/keewis/black-doctest. It is still experimental and is missing a lot of the features changes for xarray/core/dataarray.py```diff diff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py index 7a95aedc..0fafd69b 100644 --- a/xarray/core/dataarray.py +++ b/xarray/core/dataarray.py @@ -875,8 +875,7 @@ class DataArray(AbstractArray, DataWithCoords): Shallow versus deep copy - >>> array = xr.DataArray([1, 2, 3], dims='x', - ... coords={'x': ['a', 'b', 'c']}) + >>> array = xr.DataArray([1, 2, 3], dims="x", coords={"x": ["a", "b", "c"]}) >>> array.copy() <xarray.DataArray (x: 3)> array([1, 2, 3]) @@ -1344,7 +1343,7 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> da = xr.DataArray([1, 3], [('x', np.arange(2))]) + >>> da = xr.DataArray([1, 3], [("x", np.arange(2))]) >>> da.interp(x=0.5) <xarray.DataArray ()> array(2.0) @@ -1475,8 +1474,9 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> arr = xr.DataArray(data=[0, 1], dims="x", - coords={"x": ["a", "b"], "y": ("x", [0, 1])}) + >>> arr = xr.DataArray( + ... data=[0, 1], dims="x", coords={"x": ["a", "b"], "y": ("x", [0, 1])} + ... ) >>> arr <xarray.DataArray (x: 2)> array([0, 1]) @@ -1589,12 +1589,11 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> arr = xr.DataArray(data=np.ones((2, 3)), - ... dims=['x', 'y'], - ... coords={'x': - ... range(2), 'y': - ... range(3), 'a': ('x', [3, 4]) - ... }) + >>> arr = xr.DataArray( + ... data=np.ones((2, 3)), + ... dims=["x", "y"], + ... coords={"x": range(2), "y": range(3), "a": ("x", [3, 4])}, + ... ) >>> arr <xarray.DataArray (x: 2, y: 3)> array([[1., 1., 1.], @@ -1603,7 +1602,7 @@ class DataArray(AbstractArray, DataWithCoords): * x (x) int64 0 1 * y (y) int64 0 1 2 a (x) int64 3 4 - >>> arr.set_index(x='a') + >>> arr.set_index(x="a") <xarray.DataArray (x: 2, y: 3)> array([[1., 1., 1.], [1., 1., 1.]]) @@ -1718,8 +1717,9 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> arr = DataArray(np.arange(6).reshape(2, 3), - ... coords=[('x', ['a', 'b']), ('y', [0, 1, 2])]) + >>> arr = DataArray( + ... np.arange(6).reshape(2, 3), coords=[("x", ["a", "b"]), ("y", [0, 1, 2])] + ... ) >>> arr <xarray.DataArray (x: 2, y: 3)> array([[0, 1, 2], @@ -1727,8 +1727,8 @@ class DataArray(AbstractArray, DataWithCoords): Coordinates: * x (x) |S1 'a' 'b' * y (y) int64 0 1 2 - >>> stacked = arr.stack(z=('x', 'y')) - >>> stacked.indexes['z'] + >>> stacked = arr.stack(z=("x", "y")) + >>> stacked.indexes["z"] MultiIndex(levels=[['a', 'b'], [0, 1, 2]], codes=[[0, 0, 0, 1, 1, 1], [0, 1, 2, 0, 1, 2]], names=['x', 'y']) @@ -1768,8 +1768,9 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> arr = DataArray(np.arange(6).reshape(2, 3), - ... coords=[('x', ['a', 'b']), ('y', [0, 1, 2])]) + >>> arr = DataArray( + ... np.arange(6).reshape(2, 3), coords=[("x", ["a", "b"]), ("y", [0, 1, 2])] + ... ) >>> arr <xarray.DataArray (x: 2, y: 3)> array([[0, 1, 2], @@ -1777,8 +1778,8 @@ class DataArray(AbstractArray, DataWithCoords): Coordinates: * x (x) |S1 'a' 'b' * y (y) int64 0 1 2 - >>> stacked = arr.stack(z=('x', 'y')) - >>> stacked.indexes['z'] + >>> stacked = arr.stack(z=("x", "y")) + >>> stacked.indexes["z"] MultiIndex(levels=[['a', 'b'], [0, 1, 2]], codes=[[0, 0, 0, 1, 1, 1], [0, 1, 2, 0, 1, 2]], names=['x', 'y']) @@ -1817,9 +1818,10 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- >>> import xarray as xr - >>> arr = DataArray(np.arange(6).reshape(2, 3), - ... coords=[('x', ['a', 'b']), ('y', [0, 1, 2])]) - >>> data = xr.Dataset({'a': arr, 'b': arr.isel(y=0)}) + >>> arr = DataArray( + ... np.arange(6).reshape(2, 3), coords=[("x", ["a", "b"]), ("y", [0, 1, 2])] + ... ) + >>> data = xr.Dataset({"a": arr, "b": arr.isel(y=0)}) >>> data <xarray.Dataset> Dimensions: (x: 2, y: 3) @@ -1829,12 +1831,12 @@ class DataArray(AbstractArray, DataWithCoords): Data variables: a (x, y) int64 0 1 2 3 4 5 b (x) int64 0 3 - >>> stacked = data.to_stacked_array("z", ['y']) - >>> stacked.indexes['z'] + >>> stacked = data.to_stacked_array("z", ["y"]) + >>> stacked.indexes["z"] MultiIndex(levels=[['a', 'b'], [0, 1, 2]], labels=[[0, 0, 0, 1], [0, 1, 2, -1]], names=['variable', 'y']) - >>> roundtripped = stacked.to_unstacked_dataset(dim='z') + >>> roundtripped = stacked.to_unstacked_dataset(dim="z") >>> data.identical(roundtripped) True @@ -2694,13 +2696,13 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> arr = xr.DataArray([5, 5, 6, 6], [[1, 2, 3, 4]], ['x']) - >>> arr.diff('x') + >>> arr = xr.DataArray([5, 5, 6, 6], [[1, 2, 3, 4]], ["x"]) + >>> arr.diff("x") <xarray.DataArray (x: 3)> array([0, 1, 0]) Coordinates: * x (x) int64 2 3 4 - >>> arr.diff('x', 2) + >>> arr.diff("x", 2) <xarray.DataArray (x: 2)> array([ 1, -1]) Coordinates: @@ -2750,7 +2752,7 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> arr = xr.DataArray([5, 6, 7], dims='x') + >>> arr = xr.DataArray([5, 6, 7], dims="x") >>> arr.shift(x=1) <xarray.DataArray (x: 3)> array([ nan, 5., 6.]) @@ -2800,7 +2802,7 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> arr = xr.DataArray([5, 6, 7], dims='x') + >>> arr = xr.DataArray([5, 6, 7], dims="x") >>> arr.roll(x=1) <xarray.DataArray (x: 3)> array([7, 5, 6]) @@ -2849,9 +2851,9 @@ class DataArray(AbstractArray, DataWithCoords): -------- >>> da_vals = np.arange(6 * 5 * 4).reshape((6, 5, 4)) - >>> da = DataArray(da_vals, dims=['x', 'y', 'z']) + >>> da = DataArray(da_vals, dims=["x", "y", "z"]) >>> dm_vals = np.arange(4) - >>> dm = DataArray(dm_vals, dims=['z']) + >>> dm = DataArray(dm_vals, dims=["z"]) >>> dm.dims ('z') @@ -2909,9 +2911,11 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> da = xr.DataArray(np.random.rand(5), - ... coords=[pd.date_range('1/1/2000', periods=5)], - ... dims='time') + >>> da = xr.DataArray( + ... np.random.rand(5), + ... coords=[pd.date_range("1/1/2000", periods=5)], + ... dims="time", + ... ) >>> da <xarray.DataArray (time: 5)> array([ 0.965471, 0.615637, 0.26532 , 0.270962, 0.552878]) @@ -3052,8 +3056,8 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> arr = xr.DataArray([5, 6, 7], dims='x') - >>> arr.rank('x') + >>> arr = xr.DataArray([5, 6, 7], dims="x") + >>> arr.rank("x") <xarray.DataArray (x: 3)> array([ 1., 2., 3.]) Dimensions without coordinates: x @@ -3093,8 +3097,11 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> da = xr.DataArray(np.arange(12).reshape(4, 3), dims=['x', 'y'], - ... coords={'x': [0, 0.1, 1.1, 1.2]}) + >>> da = xr.DataArray( + ... np.arange(12).reshape(4, 3), + ... dims=["x", "y"], + ... coords={"x": [0, 0.1, 1.1, 1.2]}, + ... ) >>> da <xarray.DataArray (x: 4, y: 3)> array([[ 0, 1, 2], @@ -3105,7 +3112,7 @@ class DataArray(AbstractArray, DataWithCoords): * x (x) float64 0.0 0.1 1.1 1.2 Dimensions without coordinates: y >>> - >>> da.differentiate('x') + >>> da.differentiate("x") <xarray.DataArray (x: 4, y: 3)> array([[30. , 30. , 30. ], [27.545455, 27.545455, 27.545455], @@ -3147,8 +3154,11 @@ class DataArray(AbstractArray, DataWithCoords): Examples -------- - >>> da = xr.DataArray(np.arange(12).reshape(4, 3), dims=['x', 'y'], - ... coords={'x': [0, 0.1, 1.1, 1.2]}) + >>> da = xr.DataArray( + ... np.arange(12).reshape(4, 3), + ... dims=["x", "y"], + ... coords={"x": [0, 0.1, 1.1, 1.2]}, + ... ) >>> da <xarray.DataArray (x: 4, y: 3)> array([[ 0, 1, 2], @@ -3159,7 +3169,7 @@ class DataArray(AbstractArray, DataWithCoords): * x (x) float64 0.0 0.1 1.1 1.2 Dimensions without coordinates: y >>> - >>> da.integrate('x') + >>> da.integrate("x") <xarray.DataArray (y: 3)> array([5.4, 6.6, 7.8]) Dimensions without coordinates: y ``` |
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Doctests fixes 577283480 | |
| 596199930 | https://github.com/pydata/xarray/pull/3846#issuecomment-596199930 | https://api.github.com/repos/pydata/xarray/issues/3846 | MDEyOklzc3VlQ29tbWVudDU5NjE5OTkzMA== | keewis 14808389 | 2020-03-08T12:25:27Z | 2020-03-08T12:25:27Z | MEMBER | I wouldn't vendor exactly that script since it looks more like a proof-of-concept. I'm currently trying to rewrite it so if that works out I'd propose to use that instead. In the future, we might be able to use the |
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Doctests fixes 577283480 | |
| 596159599 | https://github.com/pydata/xarray/pull/3846#issuecomment-596159599 | https://api.github.com/repos/pydata/xarray/issues/3846 | MDEyOklzc3VlQ29tbWVudDU5NjE1OTU5OQ== | max-sixty 5635139 | 2020-03-08T02:38:30Z | 2020-03-08T02:38:30Z | MEMBER |
For sure! I'm not sure there is a maintained tool... We could vendor the script? |
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Doctests fixes 577283480 | |
| 596151353 | https://github.com/pydata/xarray/pull/3846#issuecomment-596151353 | https://api.github.com/repos/pydata/xarray/issues/3846 | MDEyOklzc3VlQ29tbWVudDU5NjE1MTM1Mw== | keewis 14808389 | 2020-03-08T00:17:21Z | 2020-03-08T00:17:21Z | MEMBER | would it make sense to apply If we do want to use something like that, it would probably be good to find a maintained tool. |
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Doctests fixes 577283480 |
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