

'''simple docstring'''






# Lint as: python3

import hashlib
from typing import Union


def 					__lowerCamelCase			(      SCREAMING_SNAKE_CASE_     :	Union[str, int, bytes]    )							->   bytes:
      """simple docstring"""

      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_      :			str     =       hash_data.replace("\\"  ,  "/"    )
      elif isinstance(SCREAMING_SNAKE_CASE_  ,  SCREAMING_SNAKE_CASE_    ):
            SCREAMING_SNAKE_CASE_      :			List[str]     =       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 	SCREAMING_SNAKE_CASE__			(				_UpperCAmelCase      ):




    def __init__(					self				,     lowercase__			):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_      :			Dict     =       "\nFAILURE TO GENERATE DATASET: Invalid key type detected"
          SCREAMING_SNAKE_CASE_      :			Dict     =       F"\nFound Key {hash_data} of type {type(lowercase__			)}"
          SCREAMING_SNAKE_CASE_      :			List[Any]     =       "\nKeys should be either str, int or bytes type"
          super().__init__(F"{self.prefix}{self.err_msg}{self.suffix}"			)






class 	SCREAMING_SNAKE_CASE__			(				_UpperCAmelCase      ):




    def __init__(					self				,     lowercase__				,     lowercase__				,     lowercase__=""			):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_      :			Dict     =       key
          SCREAMING_SNAKE_CASE_      :			Optional[Any]     =       duplicate_key_indices
          SCREAMING_SNAKE_CASE_      :			List[Any]     =       fix_msg
          SCREAMING_SNAKE_CASE_      :			Optional[int]     =       "Found multiple examples generated with the same key"
          if len(lowercase__			) <= 20:
                SCREAMING_SNAKE_CASE_      :			Any     =       F"\nThe examples at index {', '.join(lowercase__			)} have the key {key}"
          else:
                SCREAMING_SNAKE_CASE_      :			Tuple     =       F"\nThe examples at index {', '.join(duplicate_key_indices[:20]			)}... ({len(lowercase__			) - 20} more) have the key {key}"
          SCREAMING_SNAKE_CASE_      :			Optional[Any]     =       "\n" + fix_msg if fix_msg else ""
          super().__init__(F"{self.prefix}{self.err_msg}{self.suffix}"			)






class 	SCREAMING_SNAKE_CASE__			:




    def __init__(					self				,     lowercase__			):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_      :			Tuple     =       hashlib.mda(_as_bytes(lowercase__			)			)







    def   __lowerCamelCase      (					self				,     lowercase__			):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_      :			str     =       self._split_mda.copy()
          SCREAMING_SNAKE_CASE_      :			str     =       _as_bytes(lowercase__			)
          mda.update(lowercase__			)
          # Convert to integer with hexadecimal conversion
          return int(mda.hexdigest()				,     16			)







'''simple docstring'''


from dataclasses import dataclass
from typing import Callable, Optional

import datasets

@dataclass
class 			A    (		datasets.BuilderConfig    ):
							lowercase_							=				None
							lowercase_							=				None
							lowercase_							=				None







							def    __lowerCAmelCase			(  self       :  Dict					)			->							List[str]:


														"""simple docstring"""


														assert self.generator is not None, "generator must be specified"

														if self.gen_kwargs is None:
																					_a	     =				{}



class 			A    (		datasets.GeneratorBasedBuilder    ):
							lowercase_							=				GeneratorConfig







							def    __lowerCAmelCase			(  self       :  Any					)			->							List[str]:


														"""simple docstring"""


														return datasets.DatasetInfo(features=self.config.features					)







							def    __lowerCAmelCase			(  self       :  Dict							,			lowerCAmelCase_       :  Optional[int]					)			->							Optional[Any]:


														"""simple docstring"""


														return [datasets.SplitGenerator(name=datasets.Split.TRAIN							,			gen_kwargs=self.config.gen_kwargs					)]







							def    __lowerCAmelCase			(  self       :  str							,			**lowerCAmelCase_       :  int					)			->							List[str]:


														"""simple docstring"""


														for idx, ex in enumerate(self.config.generator(**lowerCAmelCase_					)					):
																					yield idx, ex

