Keep cube's fill_value when resetting the cube's data in interpolation test#17
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bjlittle merged 1 commit intobjlittle:fill-value-and-dtypefrom Mar 14, 2017
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Fyi @pp-mo |
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lib/iris/tests/test_interpolation.py
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| # * scipy.interpolate.interp1d in 0.11.0 which is used in | ||
| # `Linear1dExtrapolator`. | ||
| cube_fill_val = cube.fill_value | ||
| print(cube._dtype, cube.dtype) |
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@lbdreyer Nuke the print ? ... and also those below ?
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lib/iris/tests/test_interpolation.py
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| self.assertCML(res, ('analysis', 'interpolation', 'linear', | ||
| 'real_circular_2dslice.cml'), checksum=False) | ||
| self.assertEqual('a', 'b') |
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@bjlittle I have removed all the unnecessary print statements now |
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In a test for the deprecated function
iris.analysis._interpolate_private.lineara cube with lazy unmasked pp data is interpolated. After the interpolation the fill value is kept, but the test then passes the cube throughnormalise_orderwhich resets the cube's data thereby losing the fill value.I have not done anything to
dtypeas cube._dtype is always None throughout the test.