# Lint as: python3

import hashlib
from typing import Union






def    __lowercase (       _A     )       ->  bytes:
      if isinstance(SCREAMING_SNAKE_CASE_  ,      SCREAMING_SNAKE_CASE_     ):
            # Data already in bytes, returns as it as
            return hash_data
      elif isinstance(SCREAMING_SNAKE_CASE_  ,      SCREAMING_SNAKE_CASE_     ):
            # We keep the data as it as for it ot be later encoded to UTF-8
            # However replace `\\` with `/` for Windows compatibility
            SCREAMING_SNAKE_CASE	: Optional[Any]					       =				hash_data.replace("""\\"""  ,      """/"""     )
      elif isinstance(SCREAMING_SNAKE_CASE_  ,      SCREAMING_SNAKE_CASE_     ):
            SCREAMING_SNAKE_CASE	: Dict					       =				str(SCREAMING_SNAKE_CASE_     )
      else:
            # If data is not of the required type, raise error
            raise InvalidKeyError(SCREAMING_SNAKE_CASE_     )

      return hash_data.encode("""utf-8"""     )







class     a__    (				snake_case_    ):







  """simple docstring"""




  def __init__(     self      :	Tuple			,			UpperCAmelCase__      :	int						)   ->str:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: Tuple					       =				"\nFAILURE TO GENERATE DATASET: Invalid key type detected"
        SCREAMING_SNAKE_CASE	: Dict					       =				f"\nFound Key {hash_data} of type {type(UpperCAmelCase__						)}"
        SCREAMING_SNAKE_CASE	: str					       =				"\nKeys should be either str, int or bytes type"
        super().__init__(f"{self.prefix}{self.err_msg}{self.suffix}"						)







class     a__    (				snake_case_    ):







  """simple docstring"""




  def __init__(     self      :	int			,			UpperCAmelCase__      :	Optional[Any]			,			UpperCAmelCase__      :	Tuple			,			UpperCAmelCase__      :	str=""						)   ->str:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: List[str]					       =				key
        SCREAMING_SNAKE_CASE	: str					       =				duplicate_key_indices
        SCREAMING_SNAKE_CASE	: Union[str, Any]					       =				fix_msg
        SCREAMING_SNAKE_CASE	: Any					       =				"Found multiple examples generated with the same key"
        if len(UpperCAmelCase__						) <= 2_0:
              SCREAMING_SNAKE_CASE	: List[Any]					       =				f"\nThe examples at index {', '.join(UpperCAmelCase__						)} have the key {key}"
        else:
              SCREAMING_SNAKE_CASE	: Any					       =				f"\nThe examples at index {', '.join(duplicate_key_indices[:2_0]						)}... ({len(UpperCAmelCase__						) - 2_0} more) have the key {key}"
        SCREAMING_SNAKE_CASE	: str					       =				"\n" + fix_msg if fix_msg else ""
        super().__init__(f"{self.prefix}{self.err_msg}{self.suffix}"						)







class     a__    :







  """simple docstring"""




  def __init__(     self      :	int			,			UpperCAmelCase__      :	Any						)   ->str:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: int					       =				hashlib.mda(_as_bytes(UpperCAmelCase__						)						)




  def 	_lowercase (     self      :	List[Any]			,			UpperCAmelCase__      :	Union[str, Any]						)   ->int:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: List[str]					       =				self._split_mda.copy()
        SCREAMING_SNAKE_CASE	: int					       =				_as_bytes(UpperCAmelCase__						)
        mda.update(UpperCAmelCase__						)
        # Convert to integer with hexadecimal conversion
        return int(mda.hexdigest()			,			1_6						)







import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

UpperCAmelCase__	:       Dict			      =      [(1,)]






def    __lowercase (       )       ->  Tuple:
      SCREAMING_SNAKE_CASE	: Optional[Any]					       =				bool(os.getenv("""RUN_SLOW"""  ,      0     )     )
      if run_slow:
            assert True
      else:
            assert False, "should have been skipped"






def    __lowercase (       )       ->  Optional[Any]:
      SCREAMING_SNAKE_CASE	: Dict					       =				bool(os.getenv("""RUN_SLOW"""  ,      0     )     )
      if run_slow and torch_device == "cuda":
            assert True
      else:
            assert False, "should have been skipped"







@require_torch
class     a__    (				unittest.TestCase    ):







  """simple docstring"""




  @slow
  @require_torch_gpu
  def 	_lowercase (     self      :	Any						)   ->Optional[Any]:
        """simple docstring"""







        check_slow_torch_cuda()


  @require_torch_gpu
  @slow
  def 	_lowercase (     self      :	Optional[Any]						)   ->Any:
        """simple docstring"""







        check_slow_torch_cuda()




  @parameterized.expand(UpperCAmelCase__						)
  @slow
  def 	_lowercase (     self      :	Optional[int]			,			UpperCAmelCase__      :	Dict=None						)   ->Optional[Any]:
        """simple docstring"""







        check_slow()






@slow
@require_torch_gpu
def    __lowercase (       )       ->  Optional[int]:
      check_slow_torch_cuda()






@require_torch_gpu
@slow
def    __lowercase (       )       ->  int:
      check_slow_torch_cuda()






@slow
@pytest.mark.parametrize("""param"""  ,      [1]     )
def    __lowercase (       _A     )       ->  Optional[int]:
      check_slow()







@pytest.mark.parametrize("""param"""  ,      [1]     )
@slow
def    __lowercase (       _A     )       ->  str:
      check_slow()




