



'''simple docstring'''



import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							assert "mock" in _fsspec_registry
							assert "bz2" in _fsspec_registry



def   _A       (   ):



							"""simple docstring"""



							assert "mock" not in _fsspec_registry
							assert "bz2" in _fsspec_registry



def   _A       (   ):



							"""simple docstring"""



							__lowercase       	='mock-s3-bucket'
							__lowercase       	=f"""s3://{mock_bucket}"""
							__lowercase       	=extract_path_from_uri(_lowerCAmelCase					)
							assert dataset_path.startswith('s3://'					) is False

							__lowercase       	='./local/path'
							__lowercase       	=extract_path_from_uri(_lowerCAmelCase					)
							assert dataset_path == new_dataset_path



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	=is_remote_filesystem(_lowerCAmelCase					)
							assert is_remote is True

							__lowercase       	=fsspec.filesystem('file'					)

							__lowercase       	=is_remote_filesystem(_lowerCAmelCase					)
							assert is_remote is False



@pytest.mark.parametrize('compression_fs_class'  ,   _lowerCAmelCase					)
def   _A       (   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	={'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_file, 'bz2': bza_file, 'lz4': lza_file}
							__lowercase       	=input_paths[compression_fs_class.protocol]
							if input_path is None:
														__lowercase       	=f"""for '{compression_fs_class.protocol}' compression protocol, """
														if compression_fs_class.protocol == "lz4":
																					reason += require_lza.kwargs["reason"]
														elif compression_fs_class.protocol == "zstd":
																					reason += require_zstandard.kwargs["reason"]
														pytest.skip(_lowerCAmelCase					)
							__lowercase       	=fsspec.filesystem(compression_fs_class.protocol  ,   fo=_lowerCAmelCase					)
							assert isinstance(_lowerCAmelCase  ,   _lowerCAmelCase					)
							__lowercase       	=os.path.basename(_lowerCAmelCase					)
							__lowercase       	=expected_filename[: expected_filename.rindex('.'					)]
							assert fs.glob('*'					) == [expected_filename]
							with fs.open(_lowerCAmelCase  ,   'r'  ,   encoding='utf-8'					) as f, open(_lowerCAmelCase  ,   encoding='utf-8'					) as expected_file:
														assert f.read() == expected_file.read()



@pytest.mark.parametrize('protocol'  ,   ['zip', 'gzip']					)
def   _A       (   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	={'zip': zip_jsonl_path, 'gzip': jsonl_gz_path}
							__lowercase       	=compressed_file_paths[protocol]
							__lowercase       	='dataset.jsonl'
							__lowercase       	=f"""{protocol}://{member_file_path}::{compressed_file_path}"""
							__lowercase	,				*__lowercase       	=fsspec.get_fs_token_paths(_lowerCAmelCase					)
							assert fs.isfile(_lowerCAmelCase					)
							assert not fs.isfile('non_existing_' + member_file_path					)



@pytest.mark.integration
def   _A       (   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase					):



							"""simple docstring"""



							__lowercase       	=hf_api.dataset_info(_lowerCAmelCase  ,   token=_lowerCAmelCase					)
							__lowercase       	=HfFileSystem(repo_info=_lowerCAmelCase  ,   token=_lowerCAmelCase					)
							assert sorted(hffs.glob('*'					)					) == [".gitattributes", "data"]
							assert hffs.isdir('data'					)
							assert hffs.isfile('.gitattributes'					) and hffs.isfile('data/text_data.txt'					)
							with open(_lowerCAmelCase					) as f:
														assert hffs.open('data/text_data.txt'  ,   'r'					).read() == f.read()



def   _A       (   ):



							"""simple docstring"""



							__lowercase       	='bz2'

							# Import module
							import datasets.filesystems

							# Overwrite protocol and reload
							register_implementation(_lowerCAmelCase  ,   _lowerCAmelCase  ,   clobber=_lowerCAmelCase					)
							with pytest.warns(_lowerCAmelCase					) as warning_info:
														importlib.reload(datasets.filesystems					)

							assert len(_lowerCAmelCase					) == 1
							assert (
							    str(warning_info[0].message					)
							    == f"""A filesystem protocol was already set for {protocol} and will be overwritten."""
							)








'''simple docstring'''



from __future__ import annotations



def   _A       (   _lowerCAmelCase  ,   _lowerCAmelCase = None  ,   _lowerCAmelCase = None  ,   _lowerCAmelCase = False  ,   ):



							"""simple docstring"""



							__lowercase       	=cipher_alphabet or [chr(_lowerCAmelCase					) for i in range(97  ,   123					)]

							# If the argument is None or the user provided an empty dictionary
							if not frequencies_dict:
														# Frequencies of letters in the english language (how much they show up)
														__lowercase       	={
														    'a': 0.0_84_97,
														    'b': 0.0_14_92,
														    'c': 0.0_22_02,
														    'd': 0.0_42_53,
														    'e': 0.1_11_62,
														    'f': 0.0_22_28,
														    'g': 0.0_20_15,
														    'h': 0.0_60_94,
														    'i': 0.0_75_46,
														    'j': 0.0_01_53,
														    'k': 0.0_12_92,
														    'l': 0.0_40_25,
														    'm': 0.0_24_06,
														    'n': 0.0_67_49,
														    'o': 0.0_75_07,
														    'p': 0.0_19_29,
														    'q': 0.0_00_95,
														    'r': 0.0_75_87,
														    's': 0.0_63_27,
														    't': 0.0_93_56,
														    'u': 0.0_27_58,
														    'v': 0.0_09_78,
														    'w': 0.0_25_60,
														    'x': 0.0_01_50,
														    'y': 0.0_19_94,
														    'z': 0.0_00_77,
														}
							else:
														# Custom frequencies dictionary
														__lowercase       	=frequencies_dict

							if not case_sensitive:
														__lowercase       	=ciphertext.lower()

							# Chi squared statistic values
							__lowercase       	={}

							# cycle through all of the shifts
							for shift in range(len(_lowerCAmelCase					)					):
														__lowercase       	=''

														# decrypt the message with the shift
														for letter in ciphertext:
																					try:
																												# Try to index the letter in the alphabet
																												__lowercase       	=(alphabet_letters.index(letter.lower()					) - shift) % len(
																												    _lowerCAmelCase					)
																												decrypted_with_shift += (
																												    alphabet_letters[new_key].upper()
																												    if case_sensitive and letter.isupper()
																												    else alphabet_letters[new_key]
																												)
																					except ValueError:
																												# Append the character if it isn't in the alphabet
																												decrypted_with_shift += letter

														__lowercase       	=0.0

														# Loop through each letter in the decoded message with the shift
														for letter in decrypted_with_shift:
																					if case_sensitive:
																												__lowercase       	=letter.lower()
																												if letter in frequencies:
																																			# Get the amount of times the letter occurs in the message
																																			__lowercase       	=decrypted_with_shift.lower().count(_lowerCAmelCase					)

																																			# Get the excepcted amount of times the letter should appear based
																																			# on letter frequencies
																																			__lowercase       	=frequencies[letter] * occurrences

																																			# Complete the chi squared statistic formula
																																			__lowercase       	=((occurrences - expected) ** 2) / expected

																																			# Add the margin of error to the total chi squared statistic
																																			chi_squared_statistic += chi_letter_value
																					else:
																												if letter.lower() in frequencies:
																																			# Get the amount of times the letter occurs in the message
																																			__lowercase       	=decrypted_with_shift.count(_lowerCAmelCase					)

																																			# Get the excepcted amount of times the letter should appear based
																																			# on letter frequencies
																																			__lowercase       	=frequencies[letter] * occurrences

																																			# Complete the chi squared statistic formula
																																			__lowercase       	=((occurrences - expected) ** 2) / expected

																																			# Add the margin of error to the total chi squared statistic
																																			chi_squared_statistic += chi_letter_value

        # Add the data to the chi_squared_statistic_values dictionary
														__lowercase       	=(
														    chi_squared_statistic,
														    decrypted_with_shift,
														)

							# Get the most likely cipher by finding the cipher with the smallest chi squared
							# statistic
							def chi_squared_statistic_values_sorting_key(_lowerCAmelCase					) -> tuple[float, str]:
														return chi_squared_statistic_values[key]

							__lowercase       	=min(
							    _lowerCAmelCase  ,   key=_lowerCAmelCase  ,   )

							# Get all the data from the most likely cipher (key, decoded message)
							(
							    (
							    __lowercase
							)	,				(
							    __lowercase
							)	,				
							)       	=chi_squared_statistic_values[most_likely_cipher]

							# Return the data on the most likely shift
							return (
							    most_likely_cipher,
							    most_likely_cipher_chi_squared_value,
							    decoded_most_likely_cipher,
							)



