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Add packed recarray tests
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@ -2,23 +2,24 @@
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from __future__ import print_function
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import numpy as np
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from example import create_rec_simple
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from example import create_rec_simple, create_rec_packed
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def check_eq(arr, data, dtype):
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np.testing.assert_equal(arr, np.array(data, dtype=dtype))
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dtype = np.dtype({'names': ['x', 'y', 'z'],
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'formats': ['?', 'u4', 'f4'],
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'offsets': [0, 4, 8]})
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base_dtype = np.dtype([('x', '?'), ('y', 'u4'), ('z', 'f4')])
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simple_dtype = np.dtype({'names': ['x', 'y', 'z'],
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'formats': ['?', 'u4', 'f4'],
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'offsets': [0, 4, 8]})
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packed_dtype = np.dtype([('x', '?'), ('y', 'u4'), ('z', 'f4')])
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arr = create_rec_simple(3)
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assert arr.dtype == dtype
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check_eq(arr, [(False, 0, 0.0), (True, 1, 1.5), (False, 2, 3.0)], dtype)
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check_eq(arr, [(False, 0, 0.0), (True, 1, 1.5), (False, 2, 3.0)], base_dtype)
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for func, dtype in [(create_rec_simple, simple_dtype), (create_rec_packed, packed_dtype)]:
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arr = func(3)
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assert arr.dtype == dtype
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check_eq(arr, [(False, 0, 0.0), (True, 1, 1.5), (False, 2, 3.0)], simple_dtype)
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check_eq(arr, [(False, 0, 0.0), (True, 1, 1.5), (False, 2, 3.0)], packed_dtype)
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arr = create_rec_simple(0)
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assert arr.dtype == dtype
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check_eq(arr, [], dtype)
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check_eq(arr, [], base_dtype)
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arr = func(0)
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assert arr.dtype == dtype
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check_eq(arr, [], simple_dtype)
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check_eq(arr, [], packed_dtype)
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