code: 
  '''simple docstring'''
  
  
  
  
  
  import json
  from typing import List, Optional, Tuple
  
  from tokenizers import pre_tokenizers, processors
  
  from ...tokenization_utils_base import AddedToken, BatchEncoding
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_longformer import LongformerTokenizer
  
  
  A           =   logging.get_logger(__name__)
  
  A           =   {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}
  
  A           =   {
      'vocab_file': {
          'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json',
          'allenai/longformer-large-4096': (
              'https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'
          ),
          'allenai/longformer-large-4096-finetuned-triviaqa': (
              'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'
          ),
          'allenai/longformer-base-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'
          ),
          'allenai/longformer-large-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'
          ),
      },
      'merges_file': {
          'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt',
          'allenai/longformer-large-4096': (
              'https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'
          ),
          'allenai/longformer-large-4096-finetuned-triviaqa': (
              'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'
          ),
          'allenai/longformer-base-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'
          ),
          'allenai/longformer-large-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'
          ),
      },
      'tokenizer_file': {
          'allenai/longformer-base-4096': (
              'https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json'
          ),
          'allenai/longformer-large-4096': (
              'https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json'
          ),
          'allenai/longformer-large-4096-finetuned-triviaqa': (
              'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json'
          ),
          'allenai/longformer-base-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json'
          ),
          'allenai/longformer-large-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json'
          ),
      },
  }
  
  A           =   {
      'allenai/longformer-base-4096': 4_0_9_6,
      'allenai/longformer-large-4096': 4_0_9_6,
      'allenai/longformer-large-4096-finetuned-triviaqa': 4_0_9_6,
      'allenai/longformer-base-4096-extra.pos.embd.only': 4_0_9_6,
      'allenai/longformer-large-4096-extra.pos.embd.only': 4_0_9_6,
  }
  
  
  
  class  lowerCAmelCase__   (       UpperCamelCase       ):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  		_UpperCamelCase						= VOCAB_FILES_NAMES
  		_UpperCamelCase						= PRETRAINED_VOCAB_FILES_MAP
  		_UpperCamelCase						= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  		_UpperCamelCase						= ['input_ids', 'attention_mask']
  		_UpperCamelCase						= LongformerTokenizer
  
  		def __init__(self  : List[Any]	, lowerCAmelCase_  : int=None	, lowerCAmelCase_  : List[Any]=None	, lowerCAmelCase_  : Union[str, Any]=None	, lowerCAmelCase_  : Union[str, Any]="replace"	, lowerCAmelCase_  : Tuple="<s>"	, lowerCAmelCase_  : Any="</s>"	, lowerCAmelCase_  : Tuple="</s>"	, lowerCAmelCase_  : int="<s>"	, lowerCAmelCase_  : Union[str, Any]="<unk>"	, lowerCAmelCase_  : Dict="<pad>"	, lowerCAmelCase_  : List[str]="<mask>"	, lowerCAmelCase_  : Optional[Any]=False	, lowerCAmelCase_  : Optional[int]=True	, **lowerCAmelCase_  : Union[str, Any]	, )   ->       List[Any]:
  								super().__init__(
  								    lowerCAmelCase_	, lowerCAmelCase_	, tokenizer_file=lowerCAmelCase_	, errors=lowerCAmelCase_	, bos_token=lowerCAmelCase_	, eos_token=lowerCAmelCase_	, sep_token=lowerCAmelCase_	, cls_token=lowerCAmelCase_	, unk_token=lowerCAmelCase_	, pad_token=lowerCAmelCase_	, mask_token=lowerCAmelCase_	, add_prefix_space=lowerCAmelCase_	, trim_offsets=lowerCAmelCase_	, **lowerCAmelCase_	, )
  
  								snake_case_						       =							json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
  								if pre_tok_state.get("add_prefix_space"	, lowerCAmelCase_    ) != add_prefix_space:
  														snake_case_						       =							getattr(lowerCAmelCase_	, pre_tok_state.pop("type"    )    )
  														snake_case_						       =							add_prefix_space
  														snake_case_						       =							pre_tok_class(**lowerCAmelCase_    )
  
  								snake_case_						       =							add_prefix_space
  
  								snake_case_						       =							'''post_processor'''
  								snake_case_						       =							getattr(self.backend_tokenizer	, lowerCAmelCase_	, lowerCAmelCase_    )
  								if tokenizer_component_instance:
  														snake_case_						       =							json.loads(tokenizer_component_instance.__getstate__()    )
  
  														# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
  														if "sep" in state:
  																				snake_case_						       =							tuple(state["sep"]    )
  														if "cls" in state:
  																				snake_case_						       =							tuple(state["cls"]    )
  
  														snake_case_						       =							False
  
  														if state.get("add_prefix_space"	, lowerCAmelCase_    ) != add_prefix_space:
  																				snake_case_						       =							add_prefix_space
  																				snake_case_						       =							True
  
  														if state.get("trim_offsets"	, lowerCAmelCase_    ) != trim_offsets:
  																				snake_case_						       =							trim_offsets
  																				snake_case_						       =							True
  
  														if changes_to_apply:
  																				snake_case_						       =							getattr(lowerCAmelCase_	, state.pop("type"    )    )
  																				snake_case_						       =							component_class(**lowerCAmelCase_    )
  																				setattr(self.backend_tokenizer	, lowerCAmelCase_	, lowerCAmelCase_    )
  
  		@property
  		def 		_lowerCamelCase	(self  : str    )   ->       str:
  								if self._mask_token is None:
  														if self.verbose:
  																				logger.error("Using mask_token, but it is not set yet."    )
  														return None
  								return str(self._mask_token    )
  
  		@mask_token.setter
  		def 		_lowerCamelCase	(self  : Any	, lowerCAmelCase_  : Optional[Any]    )   ->       Dict:
  								snake_case_						       =							AddedToken(lowerCAmelCase_	, lstrip=lowerCAmelCase_	, rstrip=lowerCAmelCase_    ) if isinstance(lowerCAmelCase_	, lowerCAmelCase_    ) else value
  								snake_case_						       =							value
  
  		def 		_lowerCamelCase	(self  : Any	, *lowerCAmelCase_  : Any	, **lowerCAmelCase_  : Union[str, Any]    )   ->       BatchEncoding:
  								snake_case_						       =							kwargs.get("is_split_into_words"	, lowerCAmelCase_    )
  								assert self.add_prefix_space or not is_split_into_words, (
  								    f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
  								    "to use it with pretokenized inputs."
  								)
  
  								return super()._batch_encode_plus(*lowerCAmelCase_	, **lowerCAmelCase_    )
  
  		def 		_lowerCamelCase	(self  : List[str]	, *lowerCAmelCase_  : List[Any]	, **lowerCAmelCase_  : Dict    )   ->       BatchEncoding:
  								snake_case_						       =							kwargs.get("is_split_into_words"	, lowerCAmelCase_    )
  
  								assert self.add_prefix_space or not is_split_into_words, (
  								    f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
  								    "to use it with pretokenized inputs."
  								)
  
  								return super()._encode_plus(*lowerCAmelCase_	, **lowerCAmelCase_    )
  
  		def 		_lowerCamelCase	(self  : Any	, lowerCAmelCase_  : Tuple	, lowerCAmelCase_  : List[str] = None    )   ->       Tuple[str]:
  								snake_case_						       =							self._tokenizer.model.save(lowerCAmelCase_	, name=lowerCAmelCase_    )
  								return tuple(lowerCAmelCase_    )
  
  		def 		_lowerCamelCase	(self  : List[str]	, lowerCAmelCase_  : Optional[Any]	, lowerCAmelCase_  : Optional[int]=None    )   ->       Union[str, Any]:
  								snake_case_						       =							[self.bos_token_id] + token_ids_a + [self.eos_token_id]
  								if token_ids_a is None:
  														return output
  
  								return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]
  
  
  		def 		_lowerCamelCase	(self  : Tuple	, lowerCAmelCase_  : Any	, lowerCAmelCase_  : Union[str, Any] = None    )   ->       List[int]:
  								snake_case_						       =							[self.sep_token_id]
  								snake_case_						       =							[self.cls_token_id]
  
  								if token_ids_a is None:
  														return len(cls + token_ids_a + sep    ) * [0]
  								return len(cls + token_ids_a + sep + sep + token_ids_a + sep    ) * [0]
  
  
style_context: 
  '''simple docstring'''
  
  
  
  
  
  import json
  import os
  import pickle
  import subprocess
  from hashlib import mda
  from pathlib import Path
  from tempfile import gettempdir
  from textwrap import dedent
  from types import CodeType, FunctionType
  from unittest import TestCase
  from unittest.mock import patch
  
  import pytest
  from multiprocess import Pool
  from packaging import version
  
  import datasets
  from datasets.fingerprint import Hasher, fingerprint_transform
  from datasets.table import InMemoryTable
  
  from .utils import (
      require_regex,
      require_spacy,
      require_spacy_model,
      require_tiktoken,
      require_torch,
      require_transformers,
  )
  
  
  
  class  lowerCAmelCase__   :
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    def __init__(self  : int	, lowerCAmelCase_  : Optional[Any]    )   ->       Tuple:
          snake_case_						       =							foo
  
  
    def __call__(self  : List[Any]    )   ->       Optional[int]:
          return self.foo
  
  
  
  class  lowerCAmelCase__   (       datasets.Dataset       ):
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    @fingerprint_transform(inplace=lowerCAmelCase_    )
    def 		_lowerCamelCase	(self  : Tuple	, lowerCAmelCase_  : Any	, *lowerCAmelCase_  : Union[str, Any]	, **lowerCAmelCase_  : Any    )   ->       str:
          return DatasetChild(self.data	, fingerprint=lowerCAmelCase_    )
  
  
    @fingerprint_transform(inplace=lowerCAmelCase_    )
    def 		_lowerCamelCase	(self  : str	, lowerCAmelCase_  : Optional[Any]	, *lowerCAmelCase_  : List[Any]	, **lowerCAmelCase_  : Any    )   ->       List[str]:
          return DatasetChild(self.data	, fingerprint=lowerCAmelCase_    )
  
  
  
  class  lowerCAmelCase__   :
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    def __init__(self  : int	, lowerCAmelCase_  : List[str]    )   ->       Dict:
          snake_case_						       =							callable
  
    def __call__(self  : List[str]	, *lowerCAmelCase_  : Any	, **lowerCAmelCase_  : Tuple    )   ->       Dict:
          if self.callable is not None:
                return self.callable(*lowerCAmelCase_	, **lowerCAmelCase_    )
  
  
    def __getstate__(self  : List[str]    )   ->       Tuple:
          raise pickle.PicklingError()
  
  
  
  class  lowerCAmelCase__   (       UpperCamelCase       ):
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    @require_transformers
    @pytest.mark.integration
    def 		_lowerCamelCase	(self  : str    )   ->       str:
          from transformers import AutoTokenizer
  
          def encode(lowerCAmelCase_  : str    ):
                return tokenizer(lowerCAmelCase_    )
  
          # TODO: add hash consistency tests across sessions
          snake_case_						       =							AutoTokenizer.from_pretrained("bert-base-uncased"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lambda lowerCAmelCase_    : tokenizer(lowerCAmelCase_    )    )    ).hexdigest()
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							AutoTokenizer.from_pretrained("bert-base-cased"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lambda lowerCAmelCase_    : tokenizer(lowerCAmelCase_    )    )    ).hexdigest()
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							AutoTokenizer.from_pretrained("bert-base-uncased"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lambda lowerCAmelCase_    : tokenizer(lowerCAmelCase_    )    )    ).hexdigest()
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
    @require_transformers
    @pytest.mark.integration
    def 		_lowerCamelCase	(self  : Optional[Any]    )   ->       Optional[int]:
          from transformers import AutoTokenizer
  
          snake_case_						       =							AutoTokenizer.from_pretrained("gpt2"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          tokenizer("Hello world !"    )  # call once to change the tokenizer's cache
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
  
    @require_regex
    def 		_lowerCamelCase	(self  : Union[str, Any]    )   ->       Optional[int]:
          import regex
  
          snake_case_						       =							regex.Regex("foo"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							regex.Regex("bar"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							regex.Regex("foo"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
  
  
  class  lowerCAmelCase__   (       UpperCamelCase       ):
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    def 		_lowerCamelCase	(self  : Dict    )   ->       Optional[Any]:
          def func():
                return foo
  
          snake_case_						       =							[0]
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							[1]
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							[0]
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
    def 		_lowerCamelCase	(self  : str    )   ->       Tuple:
          def func():
                pass
  
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
  
          def func():
                pass
  
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
    def 		_lowerCamelCase	(self  : List[Any]    )   ->       Union[str, Any]:
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(Foo([0]    )    )    ).hexdigest()
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(Foo([1]    )    )    ).hexdigest()
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(Foo([0]    )    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
    def 		_lowerCamelCase	(self  : Union[str, Any]    )   ->       int:
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(Foo([0]    ).__call__    )    ).hexdigest()
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(Foo([1]    ).__call__    )    ).hexdigest()
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(Foo([0]    ).__call__    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
    def 		_lowerCamelCase	(self  : int    )   ->       Optional[Any]:
          snake_case_						       =							(
              "co_argcount",
              "co_kwonlyargcount",
              "co_nlocals",
              "co_stacksize",
              "co_flags",
              "co_code",
              "co_consts",
              "co_names",
              "co_varnames",
              "co_filename",
              "co_name",
              "co_firstlineno",
              "co_lnotab",
              "co_freevars",
              "co_cellvars",
          )
  
          def _create_code_pyaa(*lowerCAmelCase_  : Any    ):
                if hasattr(args[-3]	, "encode"    ):
                      snake_case_						       =							list(lowerCAmelCase_    )
                      snake_case_						       =							args[-3].encode()  # co_lnotab
                      snake_case_						       =							args[-10].encode()  # co_code
                if hasattr(lowerCAmelCase_	, "co_posonlyargcount"    ):
                      if len(lowerCAmelCase_    ) == 16:
                            return CodeType(*lowerCAmelCase_    )
                      elif len(lowerCAmelCase_    ) == 15:
                            return CodeType(args[0]	, 0	, *args[1:]    )
                      return CodeType(args[0]	, 0	, 0	, *args[1:]    )
                elif hasattr(lowerCAmelCase_	, "co_kwonlyargcount"    ):
                      if len(lowerCAmelCase_    ) == 16:
                            return CodeType(args[0]	, *args[2:]    )
                      elif len(lowerCAmelCase_    ) == 15:
                            return CodeType(*lowerCAmelCase_    )
                      return CodeType(args[0]	, 0	, *args[1:]    )
                if len(lowerCAmelCase_    ) == 16:
                      return CodeType(args[0]	, *args[3:]    )
                elif len(lowerCAmelCase_    ) == 15:
                      return CodeType(args[0]	, *args[2:]    )
                return CodeType(*lowerCAmelCase_    )
  
          def create_ipython_func(lowerCAmelCase_  : Tuple	, lowerCAmelCase_  : Any    ):
                def func():
                      return returned_obj
  
                snake_case_						       =							func.__code__
                # Use _create_code from dill in order to make it work for different python versions
                if datasets.config.PY_VERSION < version.parse("3.8"    ):
                      snake_case_						       =							_create_code_pyaa(
                          *[getattr(lowerCAmelCase_	, lowerCAmelCase_    ) if k != "co_filename" else co_filename for k in code_args_pyaa]    )
                else:
                      snake_case_						       =							code.replace(co_filename=lowerCAmelCase_    )
                return FunctionType(lowerCAmelCase_	, func.__globals__	, func.__name__	, func.__defaults__	, func.__closure__    )
  
          snake_case_       ,	snake_case_						       =							"<ipython-input-2-e0383a102aae>", [0]
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(create_ipython_func(lowerCAmelCase_	, lowerCAmelCase_    )    )    ).hexdigest()
          snake_case_       ,	snake_case_						       =							"<ipython-input-2-e0383a102aae>", [1]
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(create_ipython_func(lowerCAmelCase_	, lowerCAmelCase_    )    )    ).hexdigest()
          snake_case_       ,	snake_case_						       =							"<ipython-input-5-713f6613acf3>", [0]
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(create_ipython_func(lowerCAmelCase_	, lowerCAmelCase_    )    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
          snake_case_       ,	snake_case_						       =							os.path.join(gettempdir()	, "ipykernel_12345"	, "321456789.py"    ), [0]
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(create_ipython_func(lowerCAmelCase_	, lowerCAmelCase_    )    )    ).hexdigest()
          snake_case_       ,	snake_case_						       =							os.path.join(gettempdir()	, "ipykernel_12345"	, "321456789.py"    ), [1]
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(create_ipython_func(lowerCAmelCase_	, lowerCAmelCase_    )    )    ).hexdigest()
          snake_case_       ,	snake_case_						       =							os.path.join(gettempdir()	, "ipykernel_12345"	, "654123987.py"    ), [0]
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(create_ipython_func(lowerCAmelCase_	, lowerCAmelCase_    )    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
  
    def 		_lowerCamelCase	(self  : int    )   ->       List[Any]:
          snake_case_       ,	snake_case_						       =							[0], [1]
  
          def func():
                return foo, bar
  
          snake_case_						       =							"__main__"
  
          def globalvars_mocka_side_effect(lowerCAmelCase_  : str	, *lowerCAmelCase_  : Tuple	, **lowerCAmelCase_  : List[Any]    ):
                return {"foo": foo, "bar": bar}
  
          def globalvars_mocka_side_effect(lowerCAmelCase_  : List[str]	, *lowerCAmelCase_  : List[str]	, **lowerCAmelCase_  : Optional[Any]    ):
                return {"bar": bar, "foo": foo}
  
          with patch("dill.detect.globalvars"	, side_effect=lowerCAmelCase_    ) as globalvars_mocka:
                snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
                self.assertGreater(globalvars_mocka.call_count	, 0    )
          with patch("dill.detect.globalvars"	, side_effect=lowerCAmelCase_    ) as globalvars_mocka:
                snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
                self.assertGreater(globalvars_mocka.call_count	, 0    )
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
  
  
  class  lowerCAmelCase__   (       UpperCamelCase       ):
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    def 		_lowerCamelCase	(self  : Union[str, Any]    )   ->       Tuple:
          snake_case_						       =							Hasher.hash("hello"    )
          snake_case_						       =							Hasher.hash("hello"    )
          snake_case_						       =							Hasher.hash("there"    )
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
    def 		_lowerCamelCase	(self  : Any    )   ->       int:
          snake_case_						       =							Hasher.hash(Foo("hello"    )    )
          snake_case_						       =							Hasher.hash(Foo("hello"    )    )
          snake_case_						       =							Hasher.hash(Foo("there"    )    )
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
    def 		_lowerCamelCase	(self  : List[Any]    )   ->       List[Any]:
          snake_case_						       =							Hasher()
          for x in ["hello", Foo("hello"    )]:
                hasher.update(lowerCAmelCase_    )
          snake_case_						       =							hasher.hexdigest()
          snake_case_						       =							Hasher()
          for x in ["hello", Foo("hello"    )]:
                hasher.update(lowerCAmelCase_    )
          snake_case_						       =							hasher.hexdigest()
          snake_case_						       =							Hasher()
          for x in ["there", Foo("there"    )]:
                hasher.update(lowerCAmelCase_    )
          snake_case_						       =							hasher.hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
    def 		_lowerCamelCase	(self  : str    )   ->       List[Any]:
          with self.assertRaises(pickle.PicklingError    ):
                Hasher.hash(UnpicklableCallable(Foo("hello"    )    )    )
  
    def 		_lowerCamelCase	(self  : Dict    )   ->       Optional[int]:
          snake_case_						       =							"abc"
          snake_case_						       =							[string, string]  # two strings have the same ids
          snake_case_						       =							[string, string]
          snake_case_						       =							json.loads(f'''["{string}", "{string}"]'''    )  # two strings have different ids
          self.assertIs(obja[0]	, lowerCAmelCase_    )
          self.assertIs(obja[0]	, obja[1]    )
          self.assertIs(obja[0]	, lowerCAmelCase_    )
          self.assertIs(obja[0]	, obja[1]    )
          self.assertIsNot(obja[0]	, lowerCAmelCase_    )
          self.assertIsNot(obja[0]	, obja[1]    )
          snake_case_						       =							Hasher.hash(lowerCAmelCase_    )
          snake_case_						       =							Hasher.hash(lowerCAmelCase_    )
          snake_case_						       =							Hasher.hash(lowerCAmelCase_    )
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
    @require_tiktoken
    def 		_lowerCamelCase	(self  : Union[str, Any]    )   ->       Union[str, Any]:
          import tiktoken
  
          snake_case_						       =							tiktoken.get_encoding("gpt2"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							tiktoken.get_encoding("r50k_base"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							tiktoken.get_encoding("gpt2"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
    @require_torch
    def 		_lowerCamelCase	(self  : Optional[int]    )   ->       str:
          import torch
  
          snake_case_						       =							torch.tensor([1.0]    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							torch.tensor([2.0]    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							torch.tensor([1.0]    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
  
    @require_spacy
    @require_spacy_model("en_core_web_sm"    )
    @require_spacy_model("fr_core_news_sm"    )
    @pytest.mark.integration
    def 		_lowerCamelCase	(self  : int    )   ->       Union[str, Any]:
          import spacy
  
          snake_case_						       =							spacy.load("en_core_web_sm"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							spacy.load("fr_core_news_sm"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          snake_case_						       =							spacy.load("en_core_web_sm"    )
          snake_case_						       =							mda(datasets.utils.py_utils.dumps(lowerCAmelCase_    )    ).hexdigest()
          self.assertEqual(lowerCAmelCase_	, lowerCAmelCase_    )
          self.assertNotEqual(lowerCAmelCase_	, lowerCAmelCase_    )
  
  @pytest.mark.integration
  def   snake_case_       (							_a     :							Path			):
        snake_case_						       =							tmp_path / "dir1"
        snake_case_						       =							tmp_path / "dir2"
        dira.mkdir()
        dira.mkdir()
        snake_case_						       =							"script.py"
        snake_case_						       =							dedent(
            "\n    from datasets.fingerprint import Hasher\n    def foo():\n        pass\n    print(Hasher.hash(foo))\n    "			)
        snake_case_						       =							dira / script_filename
        snake_case_						       =							dira / script_filename
        with script_patha.open("w"			) as f:
              f.write(_a			)
        with script_patha.open("w"			) as f:
              f.write(_a			)
        snake_case_						       =							subprocess.check_output(["python", str(_a			)]			)
        snake_case_						       =							subprocess.check_output(["python", str(_a			)]			)
        assert fingerprinta == fingerprinta
  def   snake_case_       (							):
        snake_case_						       =							{"a": [0, 1, 2]}
        snake_case_						       =							DatasetChild(InMemoryTable.from_pydict(_a			)			)
        snake_case_						       =							dataset.funca()._fingerprint
        assert expected_fingerprint == dataset.funca()._fingerprint
        assert expected_fingerprint != dataset.funca()._fingerprint
  
        with Pool(2			) as p:
              assert expected_fingerprint == p.apply_async(dataset.funca			).get()._fingerprint
              assert expected_fingerprint != p.apply_async(dataset.funca			).get()._fingerprint
  def   snake_case_       (							):
        snake_case_						       =							{"a": [0, 1, 2]}
  
  
  
        class  lowerCAmelCase__   (       datasets.Dataset       ):
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          @fingerprint_transform(inplace=lowerCAmelCase_    )
          def 		_lowerCamelCase	(self  : int	, lowerCAmelCase_  : str    )   ->       List[Any]:
                return DummyDatasetChild(self.data	, fingerprint=lowerCAmelCase_    )
  
        snake_case_						       =							DummyDatasetChild(InMemoryTable.from_pydict(_a			)			).func()
  
  
  
        class  lowerCAmelCase__   (       datasets.Dataset       ):
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          @fingerprint_transform(inplace=lowerCAmelCase_	, version="1.0.0"    )
          def 		_lowerCamelCase	(self  : Dict	, lowerCAmelCase_  : Any    )   ->       Any:
                return DummyDatasetChild(self.data	, fingerprint=lowerCAmelCase_    )
  
        snake_case_						       =							DummyDatasetChild(InMemoryTable.from_pydict(_a			)			).func()
  
  
  
        class  lowerCAmelCase__   (       datasets.Dataset       ):
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          @fingerprint_transform(inplace=lowerCAmelCase_	, version="2.0.0"    )
          def 		_lowerCamelCase	(self  : Union[str, Any]	, lowerCAmelCase_  : Any    )   ->       int:
                return DummyDatasetChild(self.data	, fingerprint=lowerCAmelCase_    )
  
        snake_case_						       =							DummyDatasetChild(InMemoryTable.from_pydict(_a			)			).func()
  
        assert len({fingeprint_no_version, fingeprint_a, fingeprint_a}			) == 3
  
  
  
  
  def   snake_case_       (							):
        # AttributeError: module 'dill._dill' has no attribute 'stack'
        snake_case_						       =							Hasher()
        hasher.update(lambda _a			: x			)
  
  