(size=10000, seed=0)
| 96 | |
| 97 | |
| 98 | def _test_dict(size=10000, seed=0): |
| 99 | np.random.seed(seed) |
| 100 | return { |
| 101 | 'uint8': _random_integers(size, np.uint8), |
| 102 | 'uint16': _random_integers(size, np.uint16), |
| 103 | 'uint32': _random_integers(size, np.uint32), |
| 104 | 'uint64': _random_integers(size, np.uint64), |
| 105 | 'int8': _random_integers(size, np.int8), |
| 106 | 'int16': _random_integers(size, np.int16), |
| 107 | 'int32': _random_integers(size, np.int32), |
| 108 | 'int64': _random_integers(size, np.int64), |
| 109 | 'float32': np.random.randn(size).astype(np.float32), |
| 110 | 'float64': np.arange(size, dtype=np.float64), |
| 111 | 'bool': np.random.randn(size) > 0, |
| 112 | 'strings': [util.rands(10) for i in range(size)], |
| 113 | 'all_none': [None] * size, |
| 114 | 'all_none_category': [None] * size |
| 115 | } |
| 116 | |
| 117 | |
| 118 | def _test_dataframe(size=10000, seed=0): |
no test coverage detected