

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

from .. import config
from .logging import get_logger


__UpperCAmelCase								=			get_logger(__name__)



class SCREAMING_SNAKE_CASE     (  enum.Enum			):
  lowerCamelCase   :      Dict										="""all_checks"""
  lowerCamelCase   :      List[Any]										="""basic_checks"""
  lowerCamelCase   :      Optional[int]										="""no_checks"""






class SCREAMING_SNAKE_CASE     (  a_			):
  pass






class SCREAMING_SNAKE_CASE     (  a_			):
  pass






class SCREAMING_SNAKE_CASE     (  a_			):
  pass






class SCREAMING_SNAKE_CASE     (  a_			):
  pass






def      snake_case_				(__A					:						Optional[dict] ,       __A					:						dict ,       __A					:						Union[str, Any]=None					)      ->     Optional[Any]:





   if expected_checksums is None:
      logger.info("""Unable to verify checksums."""					)
      return
   if len(set(UpperCAmelCase_					) - set(UpperCAmelCase_					)					) > 0:
      raise ExpectedMoreDownloadedFiles(str(set(UpperCAmelCase_					) - set(UpperCAmelCase_					)					)					)
   if len(set(UpperCAmelCase_					) - set(UpperCAmelCase_					)					) > 0:
      raise UnexpectedDownloadedFile(str(set(UpperCAmelCase_					) - set(UpperCAmelCase_					)					)					)
   __lowerCAmelCase  :      List[str]    =						[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
   __lowerCAmelCase  :      int    =						' for ' + verification_name if verification_name is not None else ''
   if len(UpperCAmelCase_					) > 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 SCREAMING_SNAKE_CASE     (  a_			):
  pass






class SCREAMING_SNAKE_CASE     (  a_			):
  pass






class SCREAMING_SNAKE_CASE     (  a_			):
  pass






class SCREAMING_SNAKE_CASE     (  a_			):
  pass






def      snake_case_				(__A					:						Optional[dict] ,       __A					:						dict					)      ->     str:





   if expected_splits is None:
      logger.info("""Unable to verify splits sizes."""					)
      return
   if len(set(UpperCAmelCase_					) - set(UpperCAmelCase_					)					) > 0:
      raise ExpectedMoreSplits(str(set(UpperCAmelCase_					) - set(UpperCAmelCase_					)					)					)
   if len(set(UpperCAmelCase_					) - set(UpperCAmelCase_					)					) > 0:
      raise UnexpectedSplits(str(set(UpperCAmelCase_					) - set(UpperCAmelCase_					)					)					)
   __lowerCAmelCase  :      Dict    =						[
       {'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(UpperCAmelCase_					) > 0:
      raise NonMatchingSplitsSizesError(str(UpperCAmelCase_					)					)
   logger.info("""All the splits matched successfully."""					)





def      snake_case_				(__A					:						str ,       __A					:						bool = True					)      ->     dict:





   if record_checksum:
      __lowerCAmelCase  :      Dict    =						shaaaa()
      with open(UpperCAmelCase_ ,       """rb"""					) as f:
         for chunk in iter(lambda: f.read(1 << 2_0					) ,       B""""""					):
            m.update(UpperCAmelCase_					)
         __lowerCAmelCase  :      List[str]    =						m.hexdigest()
   else:
      __lowerCAmelCase  :      Dict    =						None
   return {"num_bytes": os.path.getsize(UpperCAmelCase_					), "checksum": checksum}





def      snake_case_				(__A					:						Union[str, Any]					)      ->     Tuple:





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





import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate



@dataclass(frozen=a_			)
class SCREAMING_SNAKE_CASE     (  a_			):
  """simple docstring"""






  lowerCamelCase   :      str										=field(default="audio-classification"       ,							metadata={"include_in_asdict_even_if_is_default": True}			)
  lowerCamelCase   :      ClassVar[Features]										=Features({"audio": Audio()}			)
  lowerCamelCase   :      ClassVar[Features]										=Features({"labels": ClassLabel}			)
  lowerCamelCase   :      str										="audio"
  lowerCamelCase   :      str										="labels"







  def 	SCREAMING_SNAKE_CASE   (      self			:   List[Any]	,							lowerCAmelCase			:   Dict   )							->     Dict:






     """simple docstring"""







     if self.label_column not in features:
        raise ValueError(f'''Column {self.label_column} is not present in features.'''   )
     if not isinstance(features[self.label_column]	,							lowerCAmelCase   ):
        raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''   )
     __lowerCAmelCase  :      Tuple    =						copy.deepcopy(self   )
     __lowerCAmelCase  :      Tuple    =						self.label_schema.copy()
     __lowerCAmelCase  :      Union[str, Any]    =						features[self.label_column]
     __lowerCAmelCase  :      Any    =						label_schema
     return task_template







  @property
  def 	SCREAMING_SNAKE_CASE   (      self			:   str   )							->     Dict[str, str]:






     """simple docstring"""







     return {
         self.audio_column: "audio",
         self.label_column: "labels",
     }


