(values, *, return_inverse, return_counts)
| 169 | |
| 170 | |
| 171 | def _unique_python(values, *, return_inverse, return_counts): |
| 172 | # Only used in `_uniques`, see docstring there for details |
| 173 | try: |
| 174 | uniques_set = set(values) |
| 175 | uniques_set, missing_values = _extract_missing(uniques_set) |
| 176 | |
| 177 | uniques = sorted(uniques_set) |
| 178 | uniques.extend(missing_values.to_list()) |
| 179 | uniques = np.array(uniques, dtype=values.dtype) |
| 180 | except TypeError: |
| 181 | types = sorted(t.__qualname__ for t in set(type(v) for v in values)) |
| 182 | raise TypeError( |
| 183 | "Encoders require their input argument must be uniformly " |
| 184 | f"strings or numbers. Got {types}" |
| 185 | ) |
| 186 | ret = (uniques,) |
| 187 | |
| 188 | if return_inverse: |
| 189 | ret += (_map_to_integer(values, uniques),) |
| 190 | |
| 191 | if return_counts: |
| 192 | ret += (_get_counts(values, uniques),) |
| 193 | |
| 194 | return ret[0] if len(ret) == 1 else ret |
| 195 | |
| 196 | |
| 197 | def _encode(values, *, uniques, check_unknown=True): |
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