(dim)
| 129 | random_seed(12345 * self.i + 4321) |
| 130 | |
| 131 | def generate(dim): |
| 132 | if self.as_tensor: |
| 133 | shape = random_int(1, 10, [dim]).tolist() |
| 134 | return random_array([self.batch_size] + shape) |
| 135 | else: |
| 136 | return [ |
| 137 | random_array(random_int(1, 10, [dim]).tolist()) for _ in range(self.batch_size) |
| 138 | ] |
| 139 | |
| 140 | if self.i < self.n: |
| 141 | self.i += 1 |
no test coverage detected