



from string import ascii_uppercase


def 	_UpperCAmelCase       (   snake_case			,		snake_case			,		snake_case = False			,		snake_case = ascii_uppercase    ):





					"""simple docstring"""

					_lowerCAmelCase      			=					keyword.upper()
					_lowerCAmelCase      			=					plaintext.upper()
					_lowerCAmelCase      			=					set(snake_case    )

					# create a list of unique characters in the keyword - their order matters
					# it determines how we will map plaintext characters to the ciphertext
					_lowerCAmelCase      			=					[]
					for char in keyword:
										if char in alphabet_set and char not in unique_chars:
															unique_chars.append(snake_case    )
    # the number of those unique characters will determine the number of rows
					_lowerCAmelCase      			=					len(snake_case    )

					# create a shifted version of the alphabet
					_lowerCAmelCase      			=					unique_chars + [
					    char for char in alphabet if char not in unique_chars
					]

					# create a modified alphabet by splitting the shifted alphabet into rows
					_lowerCAmelCase      			=					[
					    shifted_alphabet[k : k + num_unique_chars_in_keyword]
					    for k in range(0			,		26			,		snake_case    )
					]

					# map the alphabet characters to the modified alphabet characters
					# going 'vertically' through the modified alphabet - consider columns first
					_lowerCAmelCase      			=					{}
					_lowerCAmelCase      			=					0
					for column in range(snake_case    ):
										for row in modified_alphabet:
															# if current row (the last one) is too short, break out of loop
															if len(snake_case    ) <= column:
																				break

															# map current letter to letter in modified alphabet
															_lowerCAmelCase      			=					row[column]
															letter_index += 1

					if verbose:
										print(snake_case    )
					# create the encrypted text by mapping the plaintext to the modified alphabet
					return "".join(mapping[char] if char in mapping else char for char in plaintext    )


if __name__ == "__main__":
	# example use
	print(mixed_keyword("""college""", """UNIVERSITY"""))








from typing import TYPE_CHECKING

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


A__			   = {
    """configuration_videomae""": ["""VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """VideoMAEConfig"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A__			   = [
	    """VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """VideoMAEForPreTraining""",
	    """VideoMAEModel""",
	    """VideoMAEPreTrainedModel""",
	    """VideoMAEForVideoClassification""",
	]

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A__			   = ["""VideoMAEFeatureExtractor"""]
	A__			   = ["""VideoMAEImageProcessor"""]

if TYPE_CHECKING:
	from .configuration_videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_videomae import (
		    VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
		    VideoMAEForPreTraining,
		    VideoMAEForVideoClassification,
		    VideoMAEModel,
		    VideoMAEPreTrainedModel,
		)

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_videomae import VideoMAEFeatureExtractor
		from .image_processing_videomae import VideoMAEImageProcessor

else:
	import sys

	A__			   = _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



