
import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
lowercase						:      Tuple									= {
    'E': 1_2.7_0,
    'T': 9.0_6,
    'A': 8.1_7,
    'O': 7.5_1,
    'I': 6.9_7,
    'N': 6.7_5,
    'S': 6.3_3,
    'H': 6.0_9,
    'R': 5.9_9,
    'D': 4.2_5,
    'L': 4.0_3,
    'C': 2.7_8,
    'U': 2.7_6,
    'M': 2.4_1,
    'W': 2.3_6,
    'F': 2.2_3,
    'G': 2.0_2,
    'Y': 1.9_7,
    'P': 1.9_3,
    'B': 1.2_9,
    'V': 0.9_8,
    'K': 0.7_7,
    'J': 0.1_5,
    'X': 0.1_5,
    'Q': 0.1_0,
    'Z': 0.0_7,
}
lowercase						:      List[str]									= 'ETAOINSHRDLCUMWFGYPBVKJXQZ'
lowercase						:      Any									= 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    str)      ->					dict[str, int]:






							'''simple docstring'''





							__UpperCamelCase			:     Tuple         =      {letter: 0 for letter in string.ascii_uppercase}
							for letter in message.upper():
														if letter in LETTERS:
																					letter_count[letter] += 1

							return letter_count




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    tuple)      ->					str:






							'''simple docstring'''





							return x[0]




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    str)      ->					str:






							'''simple docstring'''





							__UpperCamelCase			:     Optional[int]         =      get_letter_count(_lowerCamelCase)
							__UpperCamelCase			:     dict[int, list[str]]         =      {
							    freq: [] for letter, freq in letter_to_freq.items()
							}
							for letter in LETTERS:
														freq_to_letter[letter_to_freq[letter]].append(_lowerCamelCase)

							__UpperCamelCase			:     dict[int, str]         =      {}

							for freq in freq_to_letter:
														freq_to_letter[freq].sort(key=ETAOIN.find		,						reverse=_lowerCamelCase)
														__UpperCamelCase			:     List[str]         =      "".join(freq_to_letter[freq])

							__UpperCamelCase			:     List[str]         =      list(freq_to_letter_str.items())
							freq_pairs.sort(key=_lowerCamelCase		,						reverse=_lowerCamelCase)

							__UpperCamelCase			:     list[str]         =      [freq_pair[1] for freq_pair in freq_pairs]

							return "".join(_lowerCamelCase)




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    str)      ->					int:






							'''simple docstring'''





							__UpperCamelCase			:     Dict         =      get_frequency_order(_lowerCamelCase)
							__UpperCamelCase			:     Optional[int]         =      0
							for common_letter in ETAOIN[:6]:
														if common_letter in freq_order[:6]:
																					match_score += 1

							for uncommon_letter in ETAOIN[-6:]:
														if uncommon_letter in freq_order[-6:]:
																					match_score += 1

							return match_score


if __name__ == "__main__":
		import doctest

		doctest.testmod()

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowercase						:      str									= {
    'configuration_vision_encoder_decoder': ['VisionEncoderDecoderConfig', 'VisionEncoderDecoderOnnxConfig']
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      str									= ['VisionEncoderDecoderModel']

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      List[Any]									= ['TFVisionEncoderDecoderModel']

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      int									= ['FlaxVisionEncoderDecoderModel']

if TYPE_CHECKING:
		from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
		import sys

		lowercase						:      Dict									= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)