code: 
  
  """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     __UpperCamelCase				:
  
  
  		def __init__(self				:	Union[str, Any]  ,  __SCREAMING_SNAKE_CASE				:	Union[str, Any]):
  							A    =      foo
  
  
  		def __call__(self				:	List[Any]):
  							return self.foo
  
  
  
  
  
  class     __UpperCamelCase				(     datasets.Dataset		):
  
  
  		@fingerprint_transform(inplace=__SCREAMING_SNAKE_CASE)
  		def       SCREAMING_SNAKE_CASE__     (self				:	List[Any]  ,  __SCREAMING_SNAKE_CASE				:	int  ,  *__SCREAMING_SNAKE_CASE				:	Optional[int]  ,  **__SCREAMING_SNAKE_CASE				:	Union[str, Any]):
  							return DatasetChild(self.data  ,  fingerprint=__SCREAMING_SNAKE_CASE)
  
  
  		@fingerprint_transform(inplace=__SCREAMING_SNAKE_CASE)
  		def       SCREAMING_SNAKE_CASE__     (self				:	Optional[Any]  ,  __SCREAMING_SNAKE_CASE				:	int  ,  *__SCREAMING_SNAKE_CASE				:	Union[str, Any]  ,  **__SCREAMING_SNAKE_CASE				:	List[str]):
  							return DatasetChild(self.data  ,  fingerprint=__SCREAMING_SNAKE_CASE)
  
  
  
  
  
  class     __UpperCamelCase				:
  
  
  		def __init__(self				:	Tuple  ,  __SCREAMING_SNAKE_CASE				:	Optional[int]):
  							A    =      callable
  
  
  		def __call__(self				:	Tuple  ,  *__SCREAMING_SNAKE_CASE				:	Tuple  ,  **__SCREAMING_SNAKE_CASE				:	Optional[Any]):
  							if self.callable is not None:
  												return self.callable(*__SCREAMING_SNAKE_CASE  ,  **__SCREAMING_SNAKE_CASE)
  
  
  		def __getstate__(self				:	Dict):
  							raise pickle.PicklingError()
  
  
  
  
  
  class     __UpperCamelCase				(     _A		):
  
  
  		@require_transformers
  		@pytest.mark.integration
  		def       SCREAMING_SNAKE_CASE__     (self				:	List[Any]):
  							from transformers import AutoTokenizer
  
  							def encode(__SCREAMING_SNAKE_CASE				:	str):
  												return tokenizer(__SCREAMING_SNAKE_CASE)
  
  							# TODO: add hash consistency tests across sessions
  							A    =      AutoTokenizer.from_pretrained("bert-base-uncased")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      mda(datasets.utils.py_utils.dumps(lambda __SCREAMING_SNAKE_CASE: tokenizer(__SCREAMING_SNAKE_CASE))).hexdigest()
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      AutoTokenizer.from_pretrained("bert-base-cased")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      mda(datasets.utils.py_utils.dumps(lambda __SCREAMING_SNAKE_CASE: tokenizer(__SCREAMING_SNAKE_CASE))).hexdigest()
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      AutoTokenizer.from_pretrained("bert-base-uncased")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      mda(datasets.utils.py_utils.dumps(lambda __SCREAMING_SNAKE_CASE: tokenizer(__SCREAMING_SNAKE_CASE))).hexdigest()
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		@require_transformers
  		@pytest.mark.integration
  		def       SCREAMING_SNAKE_CASE__     (self				:	str):
  							from transformers import AutoTokenizer
  
  							A    =      AutoTokenizer.from_pretrained("gpt2")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							tokenizer("Hello world !")  # call once to change the tokenizer's cache
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		@require_regex
  		def       SCREAMING_SNAKE_CASE__     (self				:	int):
  							import regex
  
  							A    =      regex.Regex("foo")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      regex.Regex("bar")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      regex.Regex("foo")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  
  
  
  class     __UpperCamelCase				(     _A		):
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Union[str, Any]):
  							def func():
  												return foo
  
  							A    =      [0]
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      [1]
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      [0]
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	List[str]):
  							def func():
  												pass
  
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  
  							def func():
  												pass
  
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Dict):
  							A    =      mda(datasets.utils.py_utils.dumps(Foo([0]))).hexdigest()
  							A    =      mda(datasets.utils.py_utils.dumps(Foo([1]))).hexdigest()
  							A    =      mda(datasets.utils.py_utils.dumps(Foo([0]))).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	str):
  							A    =      mda(datasets.utils.py_utils.dumps(Foo([0]).__call__)).hexdigest()
  							A    =      mda(datasets.utils.py_utils.dumps(Foo([1]).__call__)).hexdigest()
  							A    =      mda(datasets.utils.py_utils.dumps(Foo([0]).__call__)).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	str):
  							A    =      (
  							    "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(*__SCREAMING_SNAKE_CASE				:	str):
  												if hasattr(args[-3]  ,  "encode"):
  																	A    =      list(__SCREAMING_SNAKE_CASE)
  																	A    =      args[-3].encode()  # co_lnotab
  																	A    =      args[-1_0].encode()  # co_code
  												if hasattr(__SCREAMING_SNAKE_CASE  ,  "co_posonlyargcount"):
  																	if len(__SCREAMING_SNAKE_CASE) == 1_6:
  																						return CodeType(*__SCREAMING_SNAKE_CASE)
  																	elif len(__SCREAMING_SNAKE_CASE) == 1_5:
  																						return CodeType(args[0]  ,  0  ,  *args[1:])
  																	return CodeType(args[0]  ,  0  ,  0  ,  *args[1:])
  												elif hasattr(__SCREAMING_SNAKE_CASE  ,  "co_kwonlyargcount"):
  																	if len(__SCREAMING_SNAKE_CASE) == 1_6:
  																						return CodeType(args[0]  ,  *args[2:])
  																	elif len(__SCREAMING_SNAKE_CASE) == 1_5:
  																						return CodeType(*__SCREAMING_SNAKE_CASE)
  																	return CodeType(args[0]  ,  0  ,  *args[1:])
  												if len(__SCREAMING_SNAKE_CASE) == 1_6:
  																	return CodeType(args[0]  ,  *args[3:])
  												elif len(__SCREAMING_SNAKE_CASE) == 1_5:
  																	return CodeType(args[0]  ,  *args[2:])
  												return CodeType(*__SCREAMING_SNAKE_CASE)
  
  							def create_ipython_func(__SCREAMING_SNAKE_CASE				:	List[str]  ,  __SCREAMING_SNAKE_CASE				:	int):
  												def func():
  																	return returned_obj
  
  												A    =      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"):
  																	A    =      _create_code_pyaa(
  																	    *[getattr(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE) if k != "co_filename" else co_filename for k in code_args_pyaa])
  												else:
  																	A    =      code.replace(co_filename=__SCREAMING_SNAKE_CASE)
  												return FunctionType(__SCREAMING_SNAKE_CASE  ,  func.__globals__  ,  func.__name__  ,  func.__defaults__  ,  func.__closure__)
  
  							A    ,					A    =      "<ipython-input-2-e0383a102aae>", [0]
  							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
  							A    ,					A    =      "<ipython-input-2-e0383a102aae>", [1]
  							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
  							A    ,					A    =      "<ipython-input-5-713f6613acf3>", [0]
  							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  							A    ,					A    =      os.path.join(gettempdir()  ,  "ipykernel_12345"  ,  "321456789.py"), [0]
  							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
  							A    ,					A    =      os.path.join(gettempdir()  ,  "ipykernel_12345"  ,  "321456789.py"), [1]
  							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
  							A    ,					A    =      os.path.join(gettempdir()  ,  "ipykernel_12345"  ,  "654123987.py"), [0]
  							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Any):
  							A    ,					A    =      [0], [1]
  
  							def func():
  												return foo, bar
  
  							A    =      "__main__"
  
  							def globalvars_mocka_side_effect(__SCREAMING_SNAKE_CASE				:	Tuple  ,  *__SCREAMING_SNAKE_CASE				:	str  ,  **__SCREAMING_SNAKE_CASE				:	List[Any]):
  												return {"foo": foo, "bar": bar}
  
  							def globalvars_mocka_side_effect(__SCREAMING_SNAKE_CASE				:	Any  ,  *__SCREAMING_SNAKE_CASE				:	Any  ,  **__SCREAMING_SNAKE_CASE				:	Dict):
  												return {"bar": bar, "foo": foo}
  
  							with patch("dill.detect.globalvars"  ,  side_effect=__SCREAMING_SNAKE_CASE) as globalvars_mocka:
  												A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  												self.assertGreater(globalvars_mocka.call_count  ,  0)
  							with patch("dill.detect.globalvars"  ,  side_effect=__SCREAMING_SNAKE_CASE) as globalvars_mocka:
  												A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  												self.assertGreater(globalvars_mocka.call_count  ,  0)
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  
  
  
  class     __UpperCamelCase				(     _A		):
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Dict):
  							A    =      Hasher.hash("hello")
  							A    =      Hasher.hash("hello")
  							A    =      Hasher.hash("there")
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Any):
  							A    =      Hasher.hash(Foo("hello"))
  							A    =      Hasher.hash(Foo("hello"))
  							A    =      Hasher.hash(Foo("there"))
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	Tuple):
  							A    =      Hasher()
  							for x in ["hello", Foo("hello")]:
  												hasher.update(__SCREAMING_SNAKE_CASE)
  							A    =      hasher.hexdigest()
  							A    =      Hasher()
  							for x in ["hello", Foo("hello")]:
  												hasher.update(__SCREAMING_SNAKE_CASE)
  							A    =      hasher.hexdigest()
  							A    =      Hasher()
  							for x in ["there", Foo("there")]:
  												hasher.update(__SCREAMING_SNAKE_CASE)
  							A    =      hasher.hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	int):
  							with self.assertRaises(pickle.PicklingError):
  												Hasher.hash(UnpicklableCallable(Foo("hello")))
  
  
  		def       SCREAMING_SNAKE_CASE__     (self				:	List[str]):
  							A    =      "abc"
  							A    =      [string, string]  # two strings have the same ids
  							A    =      [string, string]
  							A    =      json.loads(F"""[\"{string}\", \"{string}\"]""")  # two strings have different ids
  							self.assertIs(obja[0]  ,  __SCREAMING_SNAKE_CASE)
  							self.assertIs(obja[0]  ,  obja[1])
  							self.assertIs(obja[0]  ,  __SCREAMING_SNAKE_CASE)
  							self.assertIs(obja[0]  ,  obja[1])
  							self.assertIsNot(obja[0]  ,  __SCREAMING_SNAKE_CASE)
  							self.assertIsNot(obja[0]  ,  obja[1])
  							A    =      Hasher.hash(__SCREAMING_SNAKE_CASE)
  							A    =      Hasher.hash(__SCREAMING_SNAKE_CASE)
  							A    =      Hasher.hash(__SCREAMING_SNAKE_CASE)
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		@require_tiktoken
  		def       SCREAMING_SNAKE_CASE__     (self				:	str):
  							import tiktoken
  
  							A    =      tiktoken.get_encoding("gpt2")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      tiktoken.get_encoding("r50k_base")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      tiktoken.get_encoding("gpt2")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		@require_torch
  		def       SCREAMING_SNAKE_CASE__     (self				:	List[str]):
  							import torch
  
  							A    =      torch.tensor([1.0])
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      torch.tensor([2.0])
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      torch.tensor([1.0])
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  
  		@require_spacy
  		@require_spacy_model("en_core_web_sm")
  		@require_spacy_model("fr_core_news_sm")
  		@pytest.mark.integration
  		def       SCREAMING_SNAKE_CASE__     (self				:	Union[str, Any]):
  							import spacy
  
  							A    =      spacy.load("en_core_web_sm")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      spacy.load("fr_core_news_sm")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							A    =      spacy.load("en_core_web_sm")
  							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
  							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
  
  @pytest.mark.integration
  def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
  					"""simple docstring"""
  					A    =      tmp_path / "dir1"
  					A    =      tmp_path / "dir2"
  					dira.mkdir()
  					dira.mkdir()
  					A    =      "script.py"
  					A    =      dedent(
  					    "\n    from datasets.fingerprint import Hasher\n    def foo():\n        pass\n    print(Hasher.hash(foo))\n    "   )
  					A    =      dira / script_filename
  					A    =      dira / script_filename
  					with script_patha.open("w"   ) as f:
  										f.write(lowercase__   )
  					with script_patha.open("w"   ) as f:
  										f.write(lowercase__   )
  					A    =      subprocess.check_output(["python", str(lowercase__   )]   )
  					A    =      subprocess.check_output(["python", str(lowercase__   )]   )
  					assert fingerprinta == fingerprinta
  def      __SCREAMING_SNAKE_CASE		(		):
  					"""simple docstring"""
  					A    =      {"a": [0, 1, 2]}
  					A    =      DatasetChild(InMemoryTable.from_pydict(lowercase__   )   )
  					A    =      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      __SCREAMING_SNAKE_CASE		(		):
  					"""simple docstring"""
  					A    =      {"a": [0, 1, 2]}
  
  
  
  
  
  					class     __UpperCamelCase				(     datasets.Dataset		):
  
  
  							@fingerprint_transform(inplace=__SCREAMING_SNAKE_CASE)
  							def       SCREAMING_SNAKE_CASE__     (self				:	List[Any]  ,  __SCREAMING_SNAKE_CASE				:	Dict):
  												return DummyDatasetChild(self.data  ,  fingerprint=__SCREAMING_SNAKE_CASE)
  
  					A    =      DummyDatasetChild(InMemoryTable.from_pydict(lowercase__   )   ).func()
  
  
  
  
  
  					class     __UpperCamelCase				(     datasets.Dataset		):
  
  
  							@fingerprint_transform(inplace=__SCREAMING_SNAKE_CASE  ,  version="1.0.0")
  							def       SCREAMING_SNAKE_CASE__     (self				:	Tuple  ,  __SCREAMING_SNAKE_CASE				:	int):
  												return DummyDatasetChild(self.data  ,  fingerprint=__SCREAMING_SNAKE_CASE)
  
  					A    =      DummyDatasetChild(InMemoryTable.from_pydict(lowercase__   )   ).func()
  
  
  
  
  
  					class     __UpperCamelCase				(     datasets.Dataset		):
  
  
  							@fingerprint_transform(inplace=__SCREAMING_SNAKE_CASE  ,  version="2.0.0")
  							def       SCREAMING_SNAKE_CASE__     (self				:	str  ,  __SCREAMING_SNAKE_CASE				:	Optional[Any]):
  												return DummyDatasetChild(self.data  ,  fingerprint=__SCREAMING_SNAKE_CASE)
  
  					A    =      DummyDatasetChild(InMemoryTable.from_pydict(lowercase__   )   ).func()
  
  					assert len({fingeprint_no_version, fingeprint_a, fingeprint_a}   ) == 3
  def      __SCREAMING_SNAKE_CASE		(		):
  					"""simple docstring"""
  					# AttributeError: module 'dill._dill' has no attribute 'stack'
  					A    =      Hasher()
  					hasher.update(lambda lowercase__   : x   )
  
  
  
  
  
  
style_context: 
  
  """simple docstring"""
  
  
  
  
  def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
  					"""simple docstring"""
  					if not isinstance(lowercase__    ,							lowercase__   ):
  										A    =      (
  										    "operation can not be conducted on a object of type "
  										    F"""{type(lowercase__   ).__name__}"""
  										)
  										raise TypeError(lowercase__   )
  					A    =      ""
  					for _ in range(0    ,							32   ):
  										bit_string += str(number % 2   )
  										A    =      number >> 1
  					return bit_string
  def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
  					"""simple docstring"""
  					if number < 0:
  										raise ValueError("the value of input must be positive"   )
  					elif isinstance(lowercase__    ,							lowercase__   ):
  										raise TypeError("Input value must be a 'int' type"   )
  					elif isinstance(lowercase__    ,							lowercase__   ):
  										raise TypeError("'<' not supported between instances of 'str' and 'int'"   )
  					A    =      0
  					# iterator over [1 to 32],since we are dealing with 32 bit integer
  					for _ in range(1    ,							33   ):
  										# left shift the bits by unity
  										A    =      result << 1
  										# get the end bit
  										A    =      number % 2
  										# right shift the bits by unity
  										A    =      number >> 1
  										# add that bit to our ans
  										A    =      result | end_bit
  					return get_reverse_bit_string(lowercase__   )
  
  
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  
  
  
  
  