





UpperCAmelCase_					:   List[Any] 							=						{
    """Pillow""": """Pillow""",
    """accelerate""": """accelerate>=0.11.0""",
    """compel""": """compel==0.1.8""",
    """black""": """black~=23.1""",
    """datasets""": """datasets""",
    """filelock""": """filelock""",
    """flax""": """flax>=0.4.1""",
    """hf-doc-builder""": """hf-doc-builder>=0.3.0""",
    """huggingface-hub""": """huggingface-hub>=0.13.2""",
    """requests-mock""": """requests-mock==1.10.0""",
    """importlib_metadata""": """importlib_metadata""",
    """invisible-watermark""": """invisible-watermark""",
    """isort""": """isort>=5.5.4""",
    """jax""": """jax>=0.2.8,!=0.3.2""",
    """jaxlib""": """jaxlib>=0.1.65""",
    """Jinja2""": """Jinja2""",
    """k-diffusion""": """k-diffusion>=0.0.12""",
    """torchsde""": """torchsde""",
    """note_seq""": """note_seq""",
    """librosa""": """librosa""",
    """numpy""": """numpy""",
    """omegaconf""": """omegaconf""",
    """parameterized""": """parameterized""",
    """protobuf""": """protobuf>=3.20.3,<4""",
    """pytest""": """pytest""",
    """pytest-timeout""": """pytest-timeout""",
    """pytest-xdist""": """pytest-xdist""",
    """ruff""": """ruff>=0.0.241""",
    """safetensors""": """safetensors""",
    """sentencepiece""": """sentencepiece>=0.1.91,!=0.1.92""",
    """scipy""": """scipy""",
    """onnx""": """onnx""",
    """regex""": """regex!=2019.12.17""",
    """requests""": """requests""",
    """tensorboard""": """tensorboard""",
    """torch""": """torch>=1.4""",
    """torchvision""": """torchvision""",
    """transformers""": """transformers>=4.25.1""",
    """urllib3""": """urllib3<=2.0.0""",
}







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

from .. import config
from .logging import get_logger


UpperCAmelCase_					:   int 							=						get_logger(__name__)





class      lowercase__    (							enum.Enum  ):
  __UpperCamelCase	     =  """all_checks"""
  __UpperCamelCase	     =  """basic_checks"""
  __UpperCamelCase	     =  """no_checks"""





class      lowercase__    (							__A  ):
  pass





class      lowercase__    (							__A  ):
  pass





class      lowercase__    (							__A  ):
  pass





class      lowercase__    (							__A  ):
  pass






def 							_lowerCAmelCase (  _a   :					Optional[dict]					,   _a   :					dict					,   _a   :					str=None			)	->			Optional[Any]:
     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			)			)			)
     lowerCAmelCase_					:       Union[str, Any]    =		[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
     lowerCAmelCase_					:       Optional[Any]    =		""" 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      lowercase__    (							__A  ):
  pass





class      lowercase__    (							__A  ):
  pass





class      lowercase__    (							__A  ):
  pass





class      lowercase__    (							__A  ):
  pass






def 							_lowerCAmelCase (  _a   :					Optional[dict]					,   _a   :					dict			)	->			str:
     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			)			)			)
     lowerCAmelCase_					:       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(_a			) > 0:
          raise NonMatchingSplitsSizesError(str(_a			)			)
     logger.info("""All the splits matched successfully."""			)






def 							_lowerCAmelCase (  _a   :					str					,   _a   :					bool = True			)	->			dict:
     if record_checksum:
          lowerCAmelCase_					:       int    =		shaaaa()
          with open(_a					,   """rb"""			) as f:
               for chunk in iter(lambda: f.read(1 << 20			)					,   B""""""			):
                    m.update(_a			)
               lowerCAmelCase_					:       List[str]    =		m.hexdigest()
     else:
          lowerCAmelCase_					:       Union[str, Any]    =		None
     return {"num_bytes": os.path.getsize(_a			), "checksum": checksum}







def 							_lowerCAmelCase (  _a   :					Tuple			)	->			Optional[int]:
     if dataset_size and config.IN_MEMORY_MAX_SIZE:
          return dataset_size < config.IN_MEMORY_MAX_SIZE
     else:
          return False
