
'''simple docstring'''





import numpy as np

a__		:   Dict            =       [
    ["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  UpperCamelCase__  :






 def __init__(			self  :List[str]			)				->			None:







       '''simple docstring'''



       __A       	=			np.array(_A			)






 def 	lowercase_						(			self  :List[Any]	,				_A  :str			)				->			np.ndarray:







       '''simple docstring'''



       __A	,      __A       	=			np.where(letter == self.SQUARE			)
       __A       	=			np.concatenate([indexa + 1, indexa + 1]			)
       return indexes






 def 	lowercase_						(			self  :Dict	,				_A  :int	,				_A  :int			)				->			str:







       '''simple docstring'''



       return self.SQUARE[indexa - 1, indexa - 1]






 def 	lowercase_						(			self  :str	,				_A  :str			)				->			str:







       '''simple docstring'''



       __A       	=			message.lower()
       __A       	=			message.replace('j'	,				'i'			)

       __A       	=			''
       for letter_index in range(len(_A			)			):
             if message[letter_index] != " ":
                   __A       	=			self.letter_to_numbers(message[letter_index]			)
                   __A       	=			encoded_message + str(numbers[0]			) + str(numbers[1]			)
             elif message[letter_index] == " ":
                   __A       	=			encoded_message + ' '

       return encoded_message






 def 	lowercase_						(			self  :Any	,				_A  :str			)				->			str:







       '''simple docstring'''



       __A       	=			message.replace(' '	,				'  '			)
       __A       	=			''
       for numbers_index in range(int(len(_A			) / 2			)			):
             if message[numbers_index * 2] != " ":
                   __A       	=			message[numbers_index * 2]
                   __A       	=			message[numbers_index * 2 + 1]

                   __A       	=			self.numbers_to_letter(int(_A			)	,				int(_A			)			)
                   __A       	=			decoded_message + letter
             elif message[numbers_index * 2] == " ":
                   __A       	=			decoded_message + ' '

       return decoded_message








'''simple docstring'''





from typing import TYPE_CHECKING

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


a__		:   Optional[Any]            =       {
    "configuration_mobilevitv2": [
        "MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MobileViTV2Config",
        "MobileViTV2OnnxConfig",
    ],
}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a__		:   Optional[int]            =       [
     "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
     "MobileViTV2ForImageClassification",
     "MobileViTV2ForSemanticSegmentation",
     "MobileViTV2Model",
     "MobileViTV2PreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_mobilevitva import (
     MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
     MobileViTVaConfig,
     MobileViTVaOnnxConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mobilevitva import (
      MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
      MobileViTVaForImageClassification,
      MobileViTVaForSemanticSegmentation,
      MobileViTVaModel,
      MobileViTVaPreTrainedModel,
  )

else:
 import sys

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






