





'''simple docstring'''




import numpy as np

__UpperCAmelCase         =   [
    ["""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__			:




					"""simple docstring"""


					def __init__(		self							:	Optional[Any]		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							List[Any]						=	np.array(lowerCamelCase_		)


					def lowerCamelCase_	(		self							:	str     ,		lowerCamelCase_							:	str		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							List[str]						=	np.where(letter == self.SQUARE		)
							SCREAMING_SNAKE_CASE				:							str						=	np.concatenate([indexa + 1, indexa + 1]		)
							return indexes


					def lowerCamelCase_	(		self							:	Union[str, Any]     ,		lowerCamelCase_							:	int     ,		lowerCamelCase_							:	int		):

							'''simple docstring'''



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


					def lowerCamelCase_	(		self							:	str     ,		lowerCamelCase_							:	str		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							Any						=	message.lower()
							SCREAMING_SNAKE_CASE				:							List[str]						=	message.replace("""j"""     ,		"""i"""		)

							SCREAMING_SNAKE_CASE				:							Any						=	""""""
							for letter_index in range(len(lowerCamelCase_		)		):
									if message[letter_index] != " ":
											SCREAMING_SNAKE_CASE				:							Union[str, Any]						=	self.letter_to_numbers(message[letter_index]		)
											SCREAMING_SNAKE_CASE				:							Any						=	encoded_message + str(numbers[0]		) + str(numbers[1]		)
									elif message[letter_index] == " ":
											SCREAMING_SNAKE_CASE				:							int						=	encoded_message + """ """

							return encoded_message



					def lowerCamelCase_	(		self							:	int     ,		lowerCamelCase_							:	str		):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE				:							List[str]						=	message.replace(""" """     ,		"""  """		)
							SCREAMING_SNAKE_CASE				:							int						=	""""""
							for numbers_index in range(int(len(lowerCamelCase_		) / 2		)		):
									if message[numbers_index * 2] != " ":
											SCREAMING_SNAKE_CASE				:							Any						=	message[numbers_index * 2]
											SCREAMING_SNAKE_CASE				:							List[str]						=	message[numbers_index * 2 + 1]

											SCREAMING_SNAKE_CASE				:							str						=	self.numbers_to_letter(int(lowerCamelCase_		)     ,		int(lowerCamelCase_		)		)
											SCREAMING_SNAKE_CASE				:							List[Any]						=	decoded_message + letter
									elif message[numbers_index * 2] == " ":
											SCREAMING_SNAKE_CASE				:							Any						=	decoded_message + """ """

							return decoded_message










'''simple docstring'''




import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


__UpperCAmelCase         =   logging.get_logger(__name__)




class       UpperCamelCase__			(			lowercase_	):




					"""simple docstring"""


					def __init__(		self							:	Dict     ,		*lowerCamelCase_							:	Optional[int]     ,		**lowerCamelCase_							:	Optional[int]		):

							'''simple docstring'''



							warnings.warn(
							    """The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
							    """ Please use DetrImageProcessor instead."""     ,		lowerCamelCase_     ,		)
							super().__init__(*lowerCamelCase_     ,		**lowerCamelCase_		)



