



'''simple docstring'''





from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase    					=   logging.get_logger(__name__)

UpperCAmelCase    					=   {
    """MIT/ast-finetuned-audioset-10-10-0.4593""": (
        """https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593/resolve/main/config.json"""
    ),
}

class 						a   (				_lowerCAmelCase    ):
				_snake_case		    = 'audio-spectrogram-transformer'




				def __init__(							self	:				Any,    SCREAMING_SNAKE_CASE_	:				Optional[Any]=7_68,    SCREAMING_SNAKE_CASE_	:				Tuple=12,    SCREAMING_SNAKE_CASE_	:				Optional[Any]=12,    SCREAMING_SNAKE_CASE_	:				Optional[Any]=30_72,    SCREAMING_SNAKE_CASE_	:				int="gelu",    SCREAMING_SNAKE_CASE_	:				Union[str, Any]=0.0,    SCREAMING_SNAKE_CASE_	:				int=0.0,    SCREAMING_SNAKE_CASE_	:				str=0.02,    SCREAMING_SNAKE_CASE_	:				List[Any]=1e-12,    SCREAMING_SNAKE_CASE_	:				Any=16,    SCREAMING_SNAKE_CASE_	:				Any=True,    SCREAMING_SNAKE_CASE_	:				List[Any]=10,    SCREAMING_SNAKE_CASE_	:				Dict=10,    SCREAMING_SNAKE_CASE_	:				Optional[Any]=10_24,    SCREAMING_SNAKE_CASE_	:				Optional[int]=1_28,    **SCREAMING_SNAKE_CASE_	:				Optional[Any],    ):
										super().__init__(**_lowerCAmelCase      )

										snake_case       :     Tuple =    hidden_size
										snake_case       :     List[str] =    num_hidden_layers
										snake_case       :     List[Any] =    num_attention_heads
										snake_case       :     Dict =    intermediate_size
										snake_case       :     Optional[Any] =    hidden_act
										snake_case       :     Dict =    hidden_dropout_prob
										snake_case       :     int =    attention_probs_dropout_prob
										snake_case       :     List[str] =    initializer_range
										snake_case       :     Union[str, Any] =    layer_norm_eps
										snake_case       :     Optional[int] =    patch_size
										snake_case       :     Union[str, Any] =    qkv_bias
										snake_case       :     Dict =    frequency_stride
										snake_case       :     Tuple =    time_stride
										snake_case       :     int =    max_length
										snake_case       :     List[str] =    num_mel_bins



'''simple docstring'''





import inspect
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
UpperCAmelCase    					=   "src/transformers"


# This is to make sure the transformers module imported is the one in the repo.
UpperCAmelCase    					=   direct_transformers_import(PATH_TO_TRANSFORMERS)

UpperCAmelCase    					=   transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
UpperCAmelCase    					=   re.compile(r"\[(.+?)\]\((https://huggingface\.co/.+?)\)")


UpperCAmelCase    					=   {
    "DecisionTransformerConfig",
    "EncoderDecoderConfig",
    "MusicgenConfig",
    "RagConfig",
    "SpeechEncoderDecoderConfig",
    "TimmBackboneConfig",
    "VisionEncoderDecoderConfig",
    "VisionTextDualEncoderConfig",
    "LlamaConfig",
}

def      A (       A_							:					Union[str, Any]       ):
						snake_case       :     Tuple =    None

						# source code of `config_class`
						snake_case       :     Union[str, Any] =    inspect.getsource(A_       )
						snake_case       :     List[Any] =    _re_checkpoint.findall(A_       )

						# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
						# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
						for ckpt_name, ckpt_link in checkpoints:
												# allow the link to end with `/`
												if ckpt_link.endswith('''/'''       ):
																		snake_case       :     Optional[int] =    ckpt_link[:-1]

												# verify the checkpoint name corresponds to the checkpoint link
												snake_case       :     Dict =    F"""https://huggingface.co/{ckpt_name}"""
												if ckpt_link == ckpt_link_from_name:
																		snake_case       :     Dict =    ckpt_name
																		break

						return checkpoint

def      A (       ):
						snake_case       :     List[str] =    []

						for config_class in list(CONFIG_MAPPING.values()       ):
												# Skip deprecated models
												if "models.deprecated" in config_class.__module__:
																		continue
												snake_case       :     Tuple =    get_checkpoint_from_config_class(A_       )

												snake_case       :     Optional[Any] =    config_class.__name__
												if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
																		configs_without_checkpoint.append(A_       )

						if len(A_       ) > 0:
												snake_case       :     Optional[int] =    '''\n'''.join(sorted(A_       )       )
												raise ValueError(F"""The following configurations don't contain any valid checkpoint:\n{message}"""       )


if __name__ == "__main__":
						check_config_docstrings_have_checkpoints()

