




import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
__lowerCAmelCase	:       Optional[int]     =	{
    '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,
}
__lowerCAmelCase	:       Tuple     =	'ETAOINSHRDLCUMWFGYPBVKJXQZ'
__lowerCAmelCase	:       Dict     =	'ABCDEFGHIJKLMNOPQRSTUVWXYZ'




def     __magic_name__       (				A	:      str     ):






			'''simple docstring'''







			a					=    {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     __magic_name__       (				A	:      tuple     ):






			'''simple docstring'''







			return x[0]




def     __magic_name__       (				A	:      str     ):






			'''simple docstring'''







			a					=    get_letter_count(A     )
			a					=    {
			    freq: [] for letter, freq in letter_to_freq.items()
			}
			for letter in LETTERS:
						freq_to_letter[letter_to_freq[letter]].append(A     )

			a					=    {}

			for freq in freq_to_letter:
						freq_to_letter[freq].sort(key=ETAOIN.find,						reverse=A     )
						a					=    "".join(freq_to_letter[freq]     )

			a					=    list(freq_to_letter_str.items()     )
			freq_pairs.sort(key=A,						reverse=A     )

			a					=    [freq_pair[1] for freq_pair in freq_pairs]

			return "".join(A     )




def     __magic_name__       (				A	:      str     ):






			'''simple docstring'''







			a					=    get_frequency_order(A     )
			a					=    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_tf_available,
    is_torch_available,
    is_vision_available,
)


__lowerCAmelCase	:       Dict     =	{
    'configuration_blip': [
        'BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BlipConfig',
        'BlipTextConfig',
        'BlipVisionConfig',
    ],
    'processing_blip': ['BlipProcessor'],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase	:       Optional[Any]     =	['BlipImageProcessor']


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase	:       List[Any]     =	[
		    'BLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'BlipModel',
		    'BlipPreTrainedModel',
		    'BlipForConditionalGeneration',
		    'BlipForQuestionAnswering',
		    'BlipVisionModel',
		    'BlipTextModel',
		    'BlipForImageTextRetrieval',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase	:       Any     =	[
		    'TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'TFBlipModel',
		    'TFBlipPreTrainedModel',
		    'TFBlipForConditionalGeneration',
		    'TFBlipForQuestionAnswering',
		    'TFBlipVisionModel',
		    'TFBlipTextModel',
		    'TFBlipForImageTextRetrieval',
		]

if TYPE_CHECKING:
		from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
		from .processing_blip import BlipProcessor

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_blip import BlipImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_blip import (
				    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BlipForConditionalGeneration,
				    BlipForImageTextRetrieval,
				    BlipForQuestionAnswering,
				    BlipModel,
				    BlipPreTrainedModel,
				    BlipTextModel,
				    BlipVisionModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_blip import (
				    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFBlipForConditionalGeneration,
				    TFBlipForImageTextRetrieval,
				    TFBlipForQuestionAnswering,
				    TFBlipModel,
				    TFBlipPreTrainedModel,
				    TFBlipTextModel,
				    TFBlipVisionModel,
				)

else:
		import sys

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






