(dim)
| 671 | random_seed(12345 * self.i + 4321) |
| 672 | |
| 673 | def generate(dim): |
| 674 | shape = random_int(1, 10, [dim]).tolist() |
| 675 | if self.as_tensor: |
| 676 | return random_array([self.batch_size] + shape) |
| 677 | else: |
| 678 | return [random_array(shape) for _ in range(self.batch_size)] |
| 679 | |
| 680 | if self.i < self.n: |
| 681 | self.i += 1 |
nothing calls this directly
no test coverage detected