






'''simple docstring'''







from __future__ import annotations





def 		_UpperCAmelCase   (							__A							:   str						,		__A							:   list[str] | None = None						,		__A							:   dict[str, float] | None = None						,		__A							:   bool = False						,		):
				a_		:  Union[str, Any]											=      cipher_alphabet or [chr(__A      ) for i in range(97						,		1_23      )]

				# 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)
								a_		:  Tuple											=      {
								    '''a''': 0.08497,
								    '''b''': 0.01492,
								    '''c''': 0.02202,
								    '''d''': 0.04253,
								    '''e''': 0.11162,
								    '''f''': 0.02228,
								    '''g''': 0.02015,
								    '''h''': 0.06094,
								    '''i''': 0.07546,
								    '''j''': 0.00153,
								    '''k''': 0.01292,
								    '''l''': 0.04025,
								    '''m''': 0.02406,
								    '''n''': 0.06749,
								    '''o''': 0.07507,
								    '''p''': 0.01929,
								    '''q''': 0.00095,
								    '''r''': 0.07587,
								    '''s''': 0.06327,
								    '''t''': 0.09356,
								    '''u''': 0.02758,
								    '''v''': 0.00978,
								    '''w''': 0.02560,
								    '''x''': 0.00150,
								    '''y''': 0.01994,
								    '''z''': 0.00077,
								}
				else:
								# Custom frequencies dictionary
								a_		:  Optional[Any]											=      frequencies_dict

				if not case_sensitive:
								a_		:  Tuple											=      ciphertext.lower()

				# Chi squared statistic values
				a_		:  dict[int, tuple[float, str]]											=      {}

				# cycle through all of the shifts
				for shift in range(len(__A      )      ):
								a_		:  Union[str, Any]											=      ''''''

								# decrypt the message with the shift
								for letter in ciphertext:
												try:
																# Try to index the letter in the alphabet
																a_		:  Tuple											=      (alphabet_letters.index(letter.lower()      ) - shift) % len(
																    __A      )
																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

								a_		:  int											=      0.0

								# Loop through each letter in the decoded message with the shift
								for letter in decrypted_with_shift:
												if case_sensitive:
																a_		:  List[Any]											=      letter.lower()
																if letter in frequencies:
																				# Get the amount of times the letter occurs in the message
																				a_		:  Tuple											=      decrypted_with_shift.lower().count(__A      )

																				# Get the excepcted amount of times the letter should appear based
																				# on letter frequencies
																				a_		:  List[Any]											=      frequencies[letter] * occurrences

																				# Complete the chi squared statistic formula
																				a_		:  str											=      ((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
																				a_		:  Optional[int]											=      decrypted_with_shift.count(__A      )

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

																				# Complete the chi squared statistic formula
																				a_		:  List[str]											=      ((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
								a_		:  Any											=      (
								    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(__A							:   int      ) -> tuple[float, str]:
								return chi_squared_statistic_values[key]

				a_		:  int											=      min(
				    __A						,		key=__A						,		)

				# Get all the data from the most likely cipher (key, decoded message)
				(
				    (
				    a_
				)				,			(
				    a_
				)				,			
				)		:  Optional[int]											=      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,
				)












'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase       		=      {
    'configuration_git': ['GIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GitConfig', 'GitVisionConfig'],
    'processing_git': ['GitProcessor'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase       		=      [
		    'GIT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'GitForCausalLM',
		    'GitModel',
		    'GitPreTrainedModel',
		    'GitVisionModel',
		]

if TYPE_CHECKING:
		from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
		from .processing_git import GitProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_git import (
				    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    GitForCausalLM,
				    GitModel,
				    GitPreTrainedModel,
				    GitVisionModel,
				)

else:
		import sys

		__lowerCAmelCase       		=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




