






import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


a_		:						Union[str, Any]             =    logging.get_logger(__name__)

class 		_snake_case  :
			_lowercase		:    Optional[Any]			     =							None






@experimental
def 				lowerCamelCase__				(_UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase):
			if ParallelBackendConfig.backend_name is None:
						return _map_with_multiprocessing_pool(
						    _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase)

			return _map_with_joblib(_UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase)






def 				lowerCamelCase__				(_UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= num_proc if num_proc <= len(_UpperCAmelCase) else len(_UpperCAmelCase)
			SCREAMING_SNAKE_CASE						= []  # We organize the splits ourselve (contiguous splits)
			for index in range(_UpperCAmelCase):
						SCREAMING_SNAKE_CASE						= len(_UpperCAmelCase) // num_proc
						SCREAMING_SNAKE_CASE						= len(_UpperCAmelCase) % num_proc
						SCREAMING_SNAKE_CASE						= div * index + min(_UpperCAmelCase							,       _UpperCAmelCase)
						SCREAMING_SNAKE_CASE						= start + div + (1 if index < mod else 0)
						split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc))

			if len(_UpperCAmelCase) != sum(len(i[1]) for i in split_kwds):
						raise ValueError(
						    F'''Error dividing inputs iterable among processes. '''
						    F'''Total number of objects {len(_UpperCAmelCase)}, '''
						    F'''length: {sum(len(i[1]) for i in split_kwds)}''')

			logger.info(
			    F'''Spawning {num_proc} processes for {len(_UpperCAmelCase)} objects in slices of {[len(i[1]) for i in split_kwds]}''')
			SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= None, None
			if not disable_tqdm:
						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= (RLock(),), tqdm.set_lock
			with Pool(_UpperCAmelCase							,       initargs=_UpperCAmelCase							,       initializer=_UpperCAmelCase) as pool:
						SCREAMING_SNAKE_CASE						= pool.map(_UpperCAmelCase							,       _UpperCAmelCase)
			logger.info(F'''Finished {num_proc} processes''')
			SCREAMING_SNAKE_CASE						= [obj for proc_res in mapped for obj in proc_res]
			logger.info(F'''Unpacked {len(_UpperCAmelCase)} objects''')

			return mapped






def 				lowerCamelCase__				(_UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase):
			# progress bar is not yet supported for _map_with_joblib, because tqdm couldn't accurately be applied to joblib,
			# and it requires monkey-patching joblib internal classes which is subject to change
			import joblib

			with joblib.parallel_backend(ParallelBackendConfig.backend_name							,       n_jobs=_UpperCAmelCase):
						return joblib.Parallel()(
						    joblib.delayed(_UpperCAmelCase)((function, obj, types, None, True, None)) for obj in iterable)







@experimental
@contextlib.contextmanager
def 				lowerCamelCase__				(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= backend_name

			if backend_name == "spark":
						from joblibspark import register_spark

						register_spark()

						# TODO: call create_cache_and_write_probe if "download" in steps
						# TODO: raise NotImplementedError when Dataset.map etc is called

			try:
						yield
			finally:
						SCREAMING_SNAKE_CASE						= None












from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

a_		:						str             =    (
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
a_		:						list[int]             =    [ord(letter) for letter in string.ascii_lowercase]
a_		:						set[int]             =    {ord(char) for char in VALID_CHARS}

a_		:						list[str]             =    ["the", "be", "to", "of", "and", "in", "that", "have"]






def 				lowerCamelCase__				(_UpperCAmelCase							,       _UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= ""
			SCREAMING_SNAKE_CASE						= 42
			SCREAMING_SNAKE_CASE						= 42
			SCREAMING_SNAKE_CASE						= 42

			for keychar, cipherchar in zip(cycle(_UpperCAmelCase)							,       _UpperCAmelCase):
						SCREAMING_SNAKE_CASE						= cipherchar ^ keychar
						if decodedchar not in VALID_INTS:
									return None
						decoded += chr(_UpperCAmelCase)

			return decoded






def 				lowerCamelCase__				(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= []
			for key in product(_UpperCAmelCase							,       repeat=3):
						SCREAMING_SNAKE_CASE						= try_key(_UpperCAmelCase							,       _UpperCAmelCase)
						if encoded is not None:
									possibles.append(_UpperCAmelCase)
			return possibles






def 				lowerCamelCase__				(_UpperCAmelCase							,       _UpperCAmelCase):
			return [possible for possible in possibles if common_word in possible.lower()]






def 				lowerCamelCase__				(_UpperCAmelCase = "p059_cipher.txt"):
			SCREAMING_SNAKE_CASE						= 42
			SCREAMING_SNAKE_CASE						= 42
			SCREAMING_SNAKE_CASE						= 42
			SCREAMING_SNAKE_CASE						= 42
			SCREAMING_SNAKE_CASE						= Path(_UpperCAmelCase).parent.joinpath(_UpperCAmelCase).read_text(encoding='utf-8')

			SCREAMING_SNAKE_CASE						= [int(_UpperCAmelCase) for number in data.strip().split(',')]

			SCREAMING_SNAKE_CASE						= filter_valid_chars(_UpperCAmelCase)
			for common_word in COMMON_WORDS:
						SCREAMING_SNAKE_CASE						= filter_common_word(_UpperCAmelCase							,       _UpperCAmelCase)
						if len(_UpperCAmelCase) == 1:
									break

			SCREAMING_SNAKE_CASE						= possibles[0]
			return sum(ord(_UpperCAmelCase) for char in decoded_text)


if __name__ == "__main__":
				print(f"""{solution() = }""")




