code: 
  '''simple docstring'''
  import json
  import os
  from dataclasses import dataclass
  
  import numpy as np
  import pyarrow as pa
  
  import datasets
  from utils import get_duration
  
  
  lowercase__						=			1_0_0_0_0_0_0_0_0_0_0_0
  lowercase__						=			1_0_0_0_0
  
  lowercase__					,     lowercase__						=			os.path.split(__file__)
  lowercase__						=			os.path.join(RESULTS_BASEPATH, "results", RESULTS_FILENAME.replace(".py", ".json"))
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )     ->       datasets.Dataset:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Any     =	pa.Table.from_pydict({'''col''': [0] * chunk_size} )
  		snake_case     :					str     =	pa.concat_tables([table] * (num_examples // chunk_size) )
  		return datasets.Dataset(SCREAMING_SNAKE_CASE__   ,					fingerprint='''table_100B''' )
  
  
  
  
  
  
  @dataclass
  class   snake_case__					:
  
  
  
  
  
  
  
  		"""simple docstring"""
  
  		lowerCamelCase           =	42
  		lowerCamelCase           =	42
  		lowerCamelCase           =	42
  		lowerCamelCase           =	42
  
  
  
  		def 			lowerCAmelCase							(			self							: str			)	-> List[Any]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					int     =	np.random.default_rng(self.seed			)
  				snake_case     :					Any     =	rng.integers(low=self.low     ,  high=self.high     ,  size=self.size			).tolist()
  
  
  
  		def __iter__(			self							: str			)	-> Union[str, Any]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				return iter(self._sampled_values			)
  
  
  
  		def __len__(			self							: Union[str, Any]			)	-> List[Any]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				return self.size
  
  
  
  
  
  
  
  @get_duration
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       List[Any]:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Tuple     =	dataset[0]
  
  
  
  
  @get_duration
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       List[str]:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Tuple     =	dataset[-1]
  
  
  
  
  @get_duration
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       Tuple:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					List[str]     =	dataset[range(len(SCREAMING_SNAKE_CASE__ ) // 2   ,					len(SCREAMING_SNAKE_CASE__ ) // 2 + 1024 )]
  
  
  
  
  @get_duration
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       Tuple:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					List[str]     =	dataset[RandIter(0   ,					len(SCREAMING_SNAKE_CASE__ )   ,					1024   ,					seed=42 )]
  
  
  
  
  def       _UpperCamelCase	(					)     ->       Dict:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Optional[Any]     =	{'''num examples''': SPEED_TEST_N_EXAMPLES}
  		snake_case     :					Optional[Any]     =	(get_first_row, get_last_row, get_batch_of_aaaa_rows, get_batch_of_aaaa_random_rows)
  		print('''generating dataset''' )
  		snake_case     :					str     =	generate_100B_dataset(num_examples=SCREAMING_SNAKE_CASE__   ,					chunk_size=SCREAMING_SNAKE_CASE__ )
  		print('''Functions''' )
  		for func in functions:
  				print(func.__name__ )
  				snake_case     :					Tuple     =	func(SCREAMING_SNAKE_CASE__ )
  
  		with open(SCREAMING_SNAKE_CASE__   ,					'''wb''' ) as f:
  				f.write(json.dumps(SCREAMING_SNAKE_CASE__ ).encode('''utf-8''' ) )
  
  
  if __name__ == "__main__":  # useful to run the profiler
  						benchmark_table_100B()
  
  
  
style_context: 
  '''simple docstring'''
  import itertools
  from pathlib import Path
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       int:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Optional[Any]     =	[tuple(SCREAMING_SNAKE_CASE__ ) for login in logins]
  
  		snake_case     :					Dict     =	{char for login in split_logins for char in login}
  
  		for permutation in itertools.permutations(SCREAMING_SNAKE_CASE__ ):
  				snake_case     :					Optional[int]     =	True
  				for login in logins:
  						if not (
  						    permutation.index(login[0] )
  						    < permutation.index(login[1] )
  						    < permutation.index(login[2] )
  						):
  								snake_case     :					int     =	False
  								break
  
  				if satisfied:
  						return int(''''''.join(SCREAMING_SNAKE_CASE__ ) )
  
  		raise Exception('''Unable to find the secret passcode''' )
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ = "keylog.txt" )     ->       int:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Optional[Any]     =	Path(SCREAMING_SNAKE_CASE__ ).parent.joinpath(SCREAMING_SNAKE_CASE__ ).read_text().splitlines()
  
  		return find_secret_passcode(SCREAMING_SNAKE_CASE__ )
  
  
  if __name__ == "__main__":
  						print(f"{solution() = }")
  
  
  