def check_attribute_being_used(config_class, attributes, default_value, source_strings):
    """Check if any name in `attributes` is used in one of the strings in `source_strings`

    Args:
        config_class (`type`):
            The configuration class for which the arguments in its `__init__` will be checked.
        attributes (`List[str]`):
            The name of an argument (or attribute) and its variant names if any.
        default_value (`Any`):
            A default value for the attribute in `attributes` assigned in the `__init__` of `config_class`.
        source_strings (`List[str]`):
            The python source code strings in the same modeling directory where `config_class` is defined. The file
            containing the definition of `config_class` should be excluded.
    """
    attribute_used = False
    for attribute in attributes:
        for modeling_source in source_strings:
            # check if we can find `config.xxx`, `getattr(config, "xxx", ...)` or `getattr(self.config, "xxx", ...)`
            if (
                f"config.{attribute}" in modeling_source
                or f'getattr(config, "{attribute}"' in modeling_source
                or f'getattr(self.config, "{attribute}"' in modeling_source
            ):
                attribute_used = True
            # Deal with multi-line cases
            elif (
                re.search(
                    rf'getattr[ \t\v\n\r\f]*\([ \t\v\n\r\f]*(self\.)?config,[ \t\v\n\r\f]*"{attribute}"',
                    modeling_source,
                )
                is not None
            ):
                attribute_used = True
            # `SequenceSummary` is called with `SequenceSummary(config)`
            elif attribute in [
                "summary_type",
                "summary_use_proj",
                "summary_activation",
                "summary_last_dropout",
                "summary_proj_to_labels",
                "summary_first_dropout",
            ]:
                if "SequenceSummary" in modeling_source:
                    attribute_used = True
            if attribute_used:
                break
        if attribute_used:
            break

    # common and important attributes, even if they do not always appear in the modeling files
    attributes_to_allow = [
        "bos_index",
        "eos_index",
        "pad_index",
        "unk_index",
        "mask_index",
        "image_size",
        "use_cache",
        "out_features",
        "out_indices",
        "sampling_rate",
    ]
    attributes_used_in_generation = ["encoder_no_repeat_ngram_size"]

    # Special cases to be allowed
    case_allowed = True
    if not attribute_used:
        case_allowed = False
        for attribute in attributes:
            # Allow if the default value in the configuration class is different from the one in `PretrainedConfig`
            if attribute in ["is_encoder_decoder"] and default_value is True:
                case_allowed = True
            elif attribute in ["tie_word_embeddings"] and default_value is False:
                case_allowed = True

            # Allow cases without checking the default value in the configuration class
            elif attribute in attributes_to_allow + attributes_used_in_generation:
                case_allowed = True
            elif attribute.endswith("_token_id"):
                case_allowed = True

            # configuration class specific cases
            if not case_allowed:
                allowed_cases = SPECIAL_CASES_TO_ALLOW.get(config_class.__name__, [])
                case_allowed = allowed_cases is True or attribute in allowed_cases

    return attribute_used or case_allowed
Check if any name in `attributes` is used in one of the strings in `source_strings`

    Args:
        config_class (`type`):
            The configuration class for which the arguments in its `__init__` will be checked.
        attributes (`List[str]`):
            The name of an argument (or attribute) and its variant names if any.
        default_value (`Any`):
            A default value for the attribute in `attributes` assigned in the `__init__` of `config_class`.
        source_strings (`List[str]`):
            The python source code strings in the same modeling directory where `config_class` is defined. The file
            containing the definition of `config_class` should be excluded.
    
dpkd/transformers/utils/check_config_attributes.py