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34 lines
1.1 KiB
34 lines
1.1 KiB
#!/usr/bin/env python
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from __future__ import print_function
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import sys
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sys.path.append('.')
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import example
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try:
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import numpy as np
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except ImportError:
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print('NumPy missing')
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exit(0)
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from example import vectorized_func
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from example import vectorized_func2
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from example import vectorized_func3
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print(vectorized_func3(np.array(3+7j)))
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for f in [vectorized_func, vectorized_func2]:
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print(f(1, 2, 3))
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print(f(np.array(1), np.array(2), 3))
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print(f(np.array([1, 3]), np.array([2, 4]), 3))
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print(f(np.array([[1, 3, 5], [7, 9, 11]]), np.array([[2, 4, 6], [8, 10, 12]]), 3))
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print(np.array([[1, 3, 5], [7, 9, 11]])* np.array([[2, 4, 6], [8, 10, 12]])*3)
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print(f(np.array([[1, 2, 3], [4, 5, 6]]), np.array([2, 3, 4]), 2))
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print(np.array([[1, 2, 3], [4, 5, 6]])* np.array([2, 3, 4])* 2)
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print(f(np.array([[1, 2, 3], [4, 5, 6]]), np.array([[2], [3]]), 2))
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print(np.array([[1, 2, 3], [4, 5, 6]])* np.array([[2], [3]])* 2)
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from example import selective_func
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selective_func(np.array([1], dtype=np.int32))
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selective_func(np.array([1.0], dtype=np.float32))
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selective_func(np.array([1.0j], dtype=np.complex64))
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