


import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


__snake_case      = get_logger(__name__)




class  UpperCAmelCase       (							enum.Enum     ):
			lowercase						       =			"""all_checks"""
			lowercase						       =			"""basic_checks"""
			lowercase						       =			"""no_checks"""




class  UpperCAmelCase       (							__snake_case     ):
			pass




class  UpperCAmelCase       (							__snake_case     ):
			pass




class  UpperCAmelCase       (							__snake_case     ):
			pass




class  UpperCAmelCase       (							__snake_case     ):
			pass






def 				_lowercase     (		SCREAMING_SNAKE_CASE_ :		str							,	SCREAMING_SNAKE_CASE_ :		Union[str, Any]							,	SCREAMING_SNAKE_CASE_ :		Tuple=None						):





			"""simple docstring"""




			if expected_checksums is None:
						logger.info("""Unable to verify checksums."""						)
						return
			if len(set(a__						) - set(a__						)						) > 0:
						raise ExpectedMoreDownloadedFiles(str(set(a__						) - set(a__						)						)						)
			if len(set(a__						) - set(a__						)						) > 0:
						raise UnexpectedDownloadedFile(str(set(a__						) - set(a__						)						)						)
			UpperCamelCase								=       [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
			UpperCamelCase								=       """ for """ + verification_name if verification_name is not None else """"""
			if len(a__						) > 0:
						raise NonMatchingChecksumError(
						    f'Checksums didn\'t match{for_verification_name}:\n'
						    f'{bad_urls}\n'
						    """Set `verification_mode='no_checks'` to skip checksums verification and ignore this error"""						)
			logger.info("""All the checksums matched successfully""" + for_verification_name						)




class  UpperCAmelCase       (							__snake_case     ):
			pass




class  UpperCAmelCase       (							__snake_case     ):
			pass




class  UpperCAmelCase       (							__snake_case     ):
			pass




class  UpperCAmelCase       (							__snake_case     ):
			pass






def 				_lowercase     (		SCREAMING_SNAKE_CASE_ :		List[Any]							,	SCREAMING_SNAKE_CASE_ :		Any						):





			"""simple docstring"""




			if expected_splits is None:
						logger.info("""Unable to verify splits sizes."""						)
						return
			if len(set(a__						) - set(a__						)						) > 0:
						raise ExpectedMoreSplits(str(set(a__						) - set(a__						)						)						)
			if len(set(a__						) - set(a__						)						) > 0:
						raise UnexpectedSplits(str(set(a__						) - set(a__						)						)						)
			UpperCamelCase								=       [
			    {"""expected""": expected_splits[name], """recorded""": recorded_splits[name]}
			    for name in expected_splits
			    if expected_splits[name].num_examples != recorded_splits[name].num_examples
			]
			if len(a__						) > 0:
						raise NonMatchingSplitsSizesError(str(a__						)						)
			logger.info("""All the splits matched successfully."""						)






def 				_lowercase     (		SCREAMING_SNAKE_CASE_ :		Optional[int]							,	SCREAMING_SNAKE_CASE_ :		int = True						):





			"""simple docstring"""




			if record_checksum:
						UpperCamelCase								=       shaaaa()
						with open(a__							,	"""rb"""						) as f:
									for chunk in iter(lambda: f.read(1 << 20						)							,	b""""""						):
												m.update(a__						)
									UpperCamelCase								=       m.hexdigest()
			else:
						UpperCamelCase								=       None
			return {"num_bytes": os.path.getsize(a__						), "checksum": checksum}






def 				_lowercase     (		SCREAMING_SNAKE_CASE_ :		str						):





			"""simple docstring"""




			if dataset_size and config.IN_MEMORY_MAX_SIZE:
						return dataset_size < config.IN_MEMORY_MAX_SIZE
			else:
						return False







'''simple docstring'''



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


UpperCAmelCase					:			Union[str, Any]       =	logging.get_logger(__name__)

UpperCAmelCase					:			Any       =	{
    'uw-madison/mra-base-512-4': 'https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json',
}







class 		lowerCAmelCase__  ( a   ):



 """simple docstring"""



 lowerCAmelCase__       = "mra"
 def __init__(						self   :			Tuple   ,				__SCREAMING_SNAKE_CASE   :			Dict=50_265   ,				__SCREAMING_SNAKE_CASE   :			Union[str, Any]=768   ,				__SCREAMING_SNAKE_CASE   :			int=12   ,				__SCREAMING_SNAKE_CASE   :			List[Any]=12   ,				__SCREAMING_SNAKE_CASE   :			Union[str, Any]=3_072   ,				__SCREAMING_SNAKE_CASE   :			Optional[Any]="gelu"   ,				__SCREAMING_SNAKE_CASE   :			List[str]=0.1   ,				__SCREAMING_SNAKE_CASE   :			List[Any]=0.1   ,				__SCREAMING_SNAKE_CASE   :			List[Any]=512   ,				__SCREAMING_SNAKE_CASE   :			Union[str, Any]=1   ,				__SCREAMING_SNAKE_CASE   :			Any=0.02   ,				__SCREAMING_SNAKE_CASE   :			Optional[Any]=1E-5   ,				__SCREAMING_SNAKE_CASE   :			str="absolute"   ,				__SCREAMING_SNAKE_CASE   :			List[Any]=4   ,				__SCREAMING_SNAKE_CASE   :			Optional[Any]="full"   ,				__SCREAMING_SNAKE_CASE   :			str=0   ,				__SCREAMING_SNAKE_CASE   :			Dict=0   ,				__SCREAMING_SNAKE_CASE   :			Optional[Any]=1   ,				__SCREAMING_SNAKE_CASE   :			Dict=0   ,				__SCREAMING_SNAKE_CASE   :			Dict=2   ,				**__SCREAMING_SNAKE_CASE   :			Optional[int]   ,				)    ->					Tuple:


      """simple docstring"""




      super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE   ,				bos_token_id=__SCREAMING_SNAKE_CASE   ,				eos_token_id=__SCREAMING_SNAKE_CASE   ,				**__SCREAMING_SNAKE_CASE     )

      __SCREAMING_SNAKE_CASE      = vocab_size
      __SCREAMING_SNAKE_CASE      = max_position_embeddings
      __SCREAMING_SNAKE_CASE      = hidden_size
      __SCREAMING_SNAKE_CASE      = num_hidden_layers
      __SCREAMING_SNAKE_CASE      = num_attention_heads
      __SCREAMING_SNAKE_CASE      = intermediate_size
      __SCREAMING_SNAKE_CASE      = hidden_act
      __SCREAMING_SNAKE_CASE      = hidden_dropout_prob
      __SCREAMING_SNAKE_CASE      = attention_probs_dropout_prob
      __SCREAMING_SNAKE_CASE      = initializer_range
      __SCREAMING_SNAKE_CASE      = type_vocab_size
      __SCREAMING_SNAKE_CASE      = layer_norm_eps
      __SCREAMING_SNAKE_CASE      = position_embedding_type
      __SCREAMING_SNAKE_CASE      = block_per_row
      __SCREAMING_SNAKE_CASE      = approx_mode
      __SCREAMING_SNAKE_CASE      = initial_prior_first_n_blocks
      __SCREAMING_SNAKE_CASE      = initial_prior_diagonal_n_blocks






