(scalar_validator, allow_stringlist=False, *,
n=None, doc=None)
| 124 | |
| 125 | @lru_cache |
| 126 | def _listify_validator(scalar_validator, allow_stringlist=False, *, |
| 127 | n=None, doc=None): |
| 128 | def f(s): |
| 129 | if isinstance(s, str): |
| 130 | try: |
| 131 | val = [scalar_validator(v.strip()) for v in s.split(',') |
| 132 | if v.strip()] |
| 133 | except Exception: |
| 134 | if allow_stringlist: |
| 135 | # Special handling for colors |
| 136 | val = _single_string_color_list(s, scalar_validator) |
| 137 | else: |
| 138 | raise |
| 139 | # Allow any ordered sequence type -- generators, np.ndarray, pd.Series |
| 140 | # -- but not sets, whose iteration order is non-deterministic. |
| 141 | elif np.iterable(s) and not isinstance(s, (set, frozenset)): |
| 142 | # The condition on this list comprehension will preserve the |
| 143 | # behavior of filtering out any empty strings (behavior was |
| 144 | # from the original validate_stringlist()), while allowing |
| 145 | # any non-string/text scalar values such as numbers and arrays. |
| 146 | val = [scalar_validator(v) for v in s |
| 147 | if not isinstance(v, str) or v] |
| 148 | else: |
| 149 | raise ValueError( |
| 150 | f"Expected str or other non-set iterable, but got {s}") |
| 151 | if n is not None and len(val) != n: |
| 152 | raise ValueError( |
| 153 | f"Expected {n} values, but there are {len(val)} values in {s}") |
| 154 | return val |
| 155 | |
| 156 | try: |
| 157 | f.__name__ = f"{scalar_validator.__name__}list" |
| 158 | except AttributeError: # class instance. |
| 159 | f.__name__ = f"{type(scalar_validator).__name__}List" |
| 160 | f.__qualname__ = f.__qualname__.rsplit(".", 1)[0] + "." + f.__name__ |
| 161 | f.__doc__ = doc if doc is not None else scalar_validator.__doc__ |
| 162 | return f |
| 163 | |
| 164 | |
| 165 | def validate_any(s): |
no outgoing calls
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