
'''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()




'''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() = }")


