Returns a flat list of (dtype, count, offset) tuples of all the scalar fields in the dtype "dt", including nested fields, in left to right order.
(dt, offset=0)
| 849 | return np.dtype((a.type, dt)) |
| 850 | |
| 851 | def _get_fields_and_offsets(dt, offset=0): |
| 852 | """ |
| 853 | Returns a flat list of (dtype, count, offset) tuples of all the |
| 854 | scalar fields in the dtype "dt", including nested fields, in left |
| 855 | to right order. |
| 856 | """ |
| 857 | |
| 858 | # counts up elements in subarrays, including nested subarrays, and returns |
| 859 | # base dtype and count |
| 860 | def count_elem(dt): |
| 861 | count = 1 |
| 862 | while dt.shape != (): |
| 863 | for size in dt.shape: |
| 864 | count *= size |
| 865 | dt = dt.base |
| 866 | return dt, count |
| 867 | |
| 868 | fields = [] |
| 869 | for name in dt.names: |
| 870 | field = dt.fields[name] |
| 871 | f_dt, f_offset = field[0], field[1] |
| 872 | f_dt, n = count_elem(f_dt) |
| 873 | |
| 874 | if f_dt.names is None: |
| 875 | fields.append((np.dtype((f_dt, (n,))), n, f_offset + offset)) |
| 876 | else: |
| 877 | subfields = _get_fields_and_offsets(f_dt, f_offset + offset) |
| 878 | size = f_dt.itemsize |
| 879 | |
| 880 | for i in range(n): |
| 881 | if i == 0: |
| 882 | # optimization: avoid list comprehension if no subarray |
| 883 | fields.extend(subfields) |
| 884 | else: |
| 885 | fields.extend([(d, c, o + i*size) for d, c, o in subfields]) |
| 886 | return fields |
| 887 | |
| 888 | def _common_stride(offsets, counts, itemsize): |
| 889 | """ |
no test coverage detected