




"""simple docstring"""






import numpy as np

lowercase__     						=						[
    ["""a""", """b""", """c""", """d""", """e"""],
    ["""f""", """g""", """h""", """i""", """k"""],
    ["""l""", """m""", """n""", """o""", """p"""],
    ["""q""", """r""", """s""", """t""", """u"""],
    ["""v""", """w""", """x""", """y""", """z"""],
]






class lowerCAmelCase__	:






			'''simple docstring'''



			def __init__(  self  ):
							_lowerCamelCase     :			Dict    =    np.array(lowercase  )
			def 					A_    (  self  ,      lowercase  ):
							_lowerCamelCase, _lowerCamelCase     :			Any    =    np.where(letter == self.SQUARE  )
							_lowerCamelCase     :			Tuple    =    np.concatenate([indexa + 1, indexa + 1]  )
							return indexes
			def 					A_    (  self  ,      lowercase  ,      lowercase  ):
							_lowerCamelCase     :			Tuple    =    self.SQUARE[indexa - 1, indexa - 1]
							return letter
			def 					A_    (  self  ,      lowercase  ):
							_lowerCamelCase     :			int    =    message.lower()
							_lowerCamelCase     :			Optional[int]    =    message.replace(' '  ,      ''  )
							_lowerCamelCase     :			List[str]    =    message.replace('j'  ,      'i'  )

							_lowerCamelCase     :			Any    =    np.empty((2, len(lowercase  ))  )
							for letter_index in range(len(lowercase  )  ):
											_lowerCamelCase     :			Dict    =    self.letter_to_numbers(message[letter_index]  )

											_lowerCamelCase     :			str    =    numbers[0]
											_lowerCamelCase     :			Union[str, Any]    =    numbers[1]

							_lowerCamelCase     :			str    =    first_step.reshape(2 * len(lowercase  )  )
							_lowerCamelCase     :			Dict    =    ''
							for numbers_index in range(len(lowercase  )  ):
											_lowerCamelCase     :			str    =    int(second_step[numbers_index * 2]  )
											_lowerCamelCase     :			List[Any]    =    int(second_step[(numbers_index * 2) + 1]  )
											_lowerCamelCase     :			List[Any]    =    self.numbers_to_letter(lowercase  ,      lowercase  )
											_lowerCamelCase     :			Any    =    encoded_message + letter

							return encoded_message






			def 					A_    (  self  ,      lowercase  ):
							_lowerCamelCase     :			Tuple    =    message.lower()
							message.replace(' '  ,      ''  )
							_lowerCamelCase     :			List[str]    =    np.empty(2 * len(lowercase  )  )
							for letter_index in range(len(lowercase  )  ):
											_lowerCamelCase     :			str    =    self.letter_to_numbers(message[letter_index]  )
											_lowerCamelCase     :			Tuple    =    numbers[0]
											_lowerCamelCase     :			int    =    numbers[1]

							_lowerCamelCase     :			Union[str, Any]    =    first_step.reshape((2, len(lowercase  ))  )
							_lowerCamelCase     :			List[str]    =    ''
							for numbers_index in range(len(lowercase  )  ):
											_lowerCamelCase     :			Tuple    =    int(second_step[0, numbers_index]  )
											_lowerCamelCase     :			Any    =    int(second_step[1, numbers_index]  )
											_lowerCamelCase     :			Optional[Any]    =    self.numbers_to_letter(lowercase  ,      lowercase  )
											_lowerCamelCase     :			List[str]    =    decoded_message + letter

							return decoded_message





"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__     						=						{"""configuration_vit_msn""": ["""VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTMSNConfig"""]}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase__     						=						[
			    """VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """ViTMSNModel""",
			    """ViTMSNForImageClassification""",
			    """ViTMSNPreTrainedModel""",
			]

if TYPE_CHECKING:
			from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vit_msn import (
						    VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ViTMSNForImageClassification,
						    ViTMSNModel,
						    ViTMSNPreTrainedModel,
						)

else:
			import sys

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