from __future__ import annotations
def       A	(    _lowercase		,  _lowercase = None		,  _lowercase = None		,  _lowercase = False		,  ):
						SCREAMING_SNAKE_CASE							:    Any							=							cipher_alphabet or [chr(_lowercase						) 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)
												SCREAMING_SNAKE_CASE							:    int							=							{
												    '''a''': 0.0_8497,
												    '''b''': 0.0_1492,
												    '''c''': 0.0_2202,
												    '''d''': 0.0_4253,
												    '''e''': 0.1_1162,
												    '''f''': 0.0_2228,
												    '''g''': 0.0_2015,
												    '''h''': 0.0_6094,
												    '''i''': 0.0_7546,
												    '''j''': 0.0_0153,
												    '''k''': 0.0_1292,
												    '''l''': 0.0_4025,
												    '''m''': 0.0_2406,
												    '''n''': 0.0_6749,
												    '''o''': 0.0_7507,
												    '''p''': 0.0_1929,
												    '''q''': 0.0_0095,
												    '''r''': 0.0_7587,
												    '''s''': 0.0_6327,
												    '''t''': 0.0_9356,
												    '''u''': 0.0_2758,
												    '''v''': 0.0_0978,
												    '''w''': 0.0_2560,
												    '''x''': 0.0_0150,
												    '''y''': 0.0_1994,
												    '''z''': 0.0_0077,
												}
						else:
												# Custom frequencies dictionary
												SCREAMING_SNAKE_CASE							:    List[str]							=							frequencies_dict

						if not case_sensitive:
												SCREAMING_SNAKE_CASE							:    str							=							ciphertext.lower()

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

						# cycle through all of the shifts
						for shift in range(len(_lowercase						)						):
												SCREAMING_SNAKE_CASE							:    Dict							=							''''''

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

												SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							0.0

												# Loop through each letter in the decoded message with the shift
												for letter in decrypted_with_shift:
																		if case_sensitive:
																								SCREAMING_SNAKE_CASE							:    Any							=							letter.lower()
																								if letter in frequencies:
																														# Get the amount of times the letter occurs in the message
																														SCREAMING_SNAKE_CASE							:    Optional[int]							=							decrypted_with_shift.lower().count(_lowercase						)

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

																														# Complete the chi squared statistic formula
																														SCREAMING_SNAKE_CASE							:    Optional[int]							=							((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
																														SCREAMING_SNAKE_CASE							:    List[Any]							=							decrypted_with_shift.count(_lowercase						)

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

																														# Complete the chi squared statistic formula
																														SCREAMING_SNAKE_CASE							:    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
												SCREAMING_SNAKE_CASE							:    Tuple							=							(
												    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(_lowercase						) -> tuple[float, str]:
												return chi_squared_statistic_values[key]

						SCREAMING_SNAKE_CASE							:    int							=							min(
						    _lowercase		,  key=_lowercase		,  )

						# Get all the data from the most likely cipher (key, decoded message)
						(
						    (
						    SCREAMING_SNAKE_CASE
						)				,  (
						    SCREAMING_SNAKE_CASE
						)				,  
						)							:    Tuple							=							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,
						)






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCamelCase		:       List[Any]									=     {'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       Optional[Any]									=     ['GLPNFeatureExtractor']
					__UpperCamelCase		:       List[str]									=     ['GLPNImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       str									=     [
					    'GLPN_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'GLPNForDepthEstimation',
					    'GLPNLayer',
					    'GLPNModel',
					    'GLPNPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_glpn import GLPNFeatureExtractor
										from .image_processing_glpn import GLPNImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_glpn import (
										    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GLPNForDepthEstimation,
										    GLPNLayer,
										    GLPNModel,
										    GLPNPreTrainedModel,
										)


else:
					import sys

					__UpperCamelCase		:       Optional[Any]									=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





