def _check_if_features_can_be_aligned()

in src/datasets/features/features.py [0:0]

• 14 lines of code
• 15 McCabe index (conditional complexity)

def _check_if_features_can_be_aligned(features_list: list[Features]):
    """Check if the dictionaries of features can be aligned.

    Two dictonaries of features can be aligned if the keys they share have the same type or some of them is of type `Value("null")`.
    """
    name2feature = {}
    for features in features_list:
        for k, v in features.items():
            if k not in name2feature or (isinstance(name2feature[k], Value) and name2feature[k].dtype == "null"):
                name2feature[k] = v

    for features in features_list:
        for k, v in features.items():
            if isinstance(v, dict) and isinstance(name2feature[k], dict):
                # Deep checks for structure.
                _check_if_features_can_be_aligned([name2feature[k], v])
            elif not (isinstance(v, Value) and v.dtype == "null") and name2feature[k] != v:
                raise ValueError(
                    f'The features can\'t be aligned because the key {k} of features {features} has unexpected type - {v} (expected either {name2feature[k]} or Value("null").'
                )