


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

from .. import config
from .logging import get_logger


__UpperCamelCase				:  Tuple      					=							get_logger(__name__)





class  lowerCAmelCase__(    enum.Enum						):






    '''simple docstring'''





    A_  :     str			= 'all_checks'
    A_  :     List[str]			= 'basic_checks'
    A_  :     Optional[int]			= 'no_checks'





class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''










class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''










class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''










class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''










def      snake_case_						( __lowercase			,       __lowercase			,       __lowercase=None       ):
   if expected_checksums is None:
      logger.info('''Unable to verify checksums.'''       )
      return
   if len(set(__lowercase       ) - set(__lowercase       )       ) > 0:
      raise ExpectedMoreDownloadedFiles(str(set(__lowercase       ) - set(__lowercase       )       )       )
   if len(set(__lowercase       ) - set(__lowercase       )       ) > 0:
      raise UnexpectedDownloadedFile(str(set(__lowercase       ) - set(__lowercase       )       )       )
   UpperCAmelCase_							:      int						=   [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
   UpperCAmelCase_							:      List[str]						=   ''' for ''' + verification_name if verification_name is not None else ''''''
   if len(__lowercase       ) > 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  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''










class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''










class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''










class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''










def      snake_case_						( __lowercase			,       __lowercase       ):
   if expected_splits is None:
      logger.info('''Unable to verify splits sizes.'''       )
      return
   if len(set(__lowercase       ) - set(__lowercase       )       ) > 0:
      raise ExpectedMoreSplits(str(set(__lowercase       ) - set(__lowercase       )       )       )
   if len(set(__lowercase       ) - set(__lowercase       )       ) > 0:
      raise UnexpectedSplits(str(set(__lowercase       ) - set(__lowercase       )       )       )
   UpperCAmelCase_							:      Optional[int]						=   [
       {'''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(__lowercase       ) > 0:
      raise NonMatchingSplitsSizesError(str(__lowercase       )       )
   logger.info('''All the splits matched successfully.'''       )
def      snake_case_						( __lowercase			,       __lowercase = True       ):
   if record_checksum:
      UpperCAmelCase_							:      Dict						=   shaaaa()
      with open(__lowercase			,       '''rb'''       ) as f:
         for chunk in iter(lambda: f.read(1 << 2_0       )			,       B''''''       ):
            m.update(__lowercase       )
         UpperCAmelCase_							:      Any						=   m.hexdigest()
   else:
      UpperCAmelCase_							:      Optional[int]						=   None
   return {"num_bytes": os.path.getsize(__lowercase       ), "checksum": checksum}


def      snake_case_						( __lowercase       ):
   if dataset_size and config.IN_MEMORY_MAX_SIZE:
      return dataset_size < config.IN_MEMORY_MAX_SIZE
   else:
      return False



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


__UpperCamelCase				:  int      					=							logging.get_logger(__name__)

__UpperCamelCase				:  Union[str, Any]      					=							{
    'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/resolve/main/config.json',
}





class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''





    A_  :     str			= 'timesformer'





    def __init__(	self				:   int       ,   __snake_case				:   Any=224       ,   __snake_case				:   str=16       ,   __snake_case				:   Any=3       ,   __snake_case				:   List[Any]=8       ,   __snake_case				:   Dict=768       ,   __snake_case				:   Dict=12       ,   __snake_case				:   Tuple=12       ,   __snake_case				:   Dict=3_072       ,   __snake_case				:   str="gelu"       ,   __snake_case				:   Union[str, Any]=0.0       ,   __snake_case				:   List[Any]=0.0       ,   __snake_case				:   Tuple=0.02       ,   __snake_case				:   Optional[Any]=1E-6       ,   __snake_case				:   List[Any]=True       ,   __snake_case				:   List[str]="divided_space_time"       ,   __snake_case				:   Optional[int]=0       ,   **__snake_case				:   Dict       ,   ):





       '''simple docstring'''
       super().__init__(**__snake_case	)

       UpperCAmelCase_							:      Optional[int]						=   image_size
       UpperCAmelCase_							:      Optional[Any]						=   patch_size
       UpperCAmelCase_							:      Any						=   num_channels
       UpperCAmelCase_							:      int						=   num_frames

       UpperCAmelCase_							:      List[Any]						=   hidden_size
       UpperCAmelCase_							:      Any						=   num_hidden_layers
       UpperCAmelCase_							:      Dict						=   num_attention_heads
       UpperCAmelCase_							:      List[Any]						=   intermediate_size
       UpperCAmelCase_							:      str						=   hidden_act
       UpperCAmelCase_							:      List[str]						=   hidden_dropout_prob
       UpperCAmelCase_							:      List[str]						=   attention_probs_dropout_prob
       UpperCAmelCase_							:      Optional[int]						=   initializer_range
       UpperCAmelCase_							:      List[str]						=   layer_norm_eps
       UpperCAmelCase_							:      str						=   qkv_bias

       UpperCAmelCase_							:      Dict						=   attention_type
       UpperCAmelCase_							:      str						=   drop_path_rate