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49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
#!/usr/bin/env python
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from __future__ import print_function
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import numpy as np
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from example import (
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create_rec_simple, create_rec_packed, create_rec_nested, print_format_descriptors,
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print_rec_simple, print_rec_packed, print_rec_nested
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)
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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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print_format_descriptors()
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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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for func, dtype in [(create_rec_simple, simple_dtype), (create_rec_packed, packed_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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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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if dtype == simple_dtype:
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print_rec_simple(arr)
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else:
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print_rec_packed(arr)
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nested_dtype = np.dtype([('a', simple_dtype), ('b', packed_dtype)])
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arr = create_rec_nested(0)
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assert arr.dtype == nested_dtype
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check_eq(arr, [], nested_dtype)
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arr = create_rec_nested(3)
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assert arr.dtype == nested_dtype
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check_eq(arr, [((False, 0, 0.0), (True, 1, 1.5)),
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((True, 1, 1.5), (False, 2, 3.0)),
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((False, 2, 3.0), (True, 3, 4.5))], nested_dtype)
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print_rec_nested(arr)
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