



'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__:     Optional[int]										=    logging.get_logger(__name__)

UpperCamelCase__:     Optional[int]										=    {
    "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/config.json",
    "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/config.json"
    # See all FNet models at https://huggingface.co/models?filter=fnet
}

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	lowerCamelCase__    				= """fnet"""







	def __init__(		self    :  Union[str, Any]	,    __snake_case    :  Dict=32000	,    __snake_case    :  Tuple=768	,    __snake_case    :  Optional[int]=12	,    __snake_case    :  Dict=3072	,    __snake_case    :  Tuple="gelu_new"	,    __snake_case    :  int=0.1	,    __snake_case    :  Optional[int]=512	,    __snake_case    :  List[Any]=4	,    __snake_case    :  str=0.02	,    __snake_case    :  Optional[Any]=1E-12	,    __snake_case    :  Optional[int]=False	,    __snake_case    :  Any=512	,    __snake_case    :  List[Any]=3	,    __snake_case    :  Any=1	,    __snake_case    :  Union[str, Any]=2	,    **__snake_case    :  List[Any]	,    )    ->	str:
								super().__init__(pad_token_id=__snake_case	,    bos_token_id=__snake_case	,    eos_token_id=__snake_case	,    **__snake_case	)

								UpperCAmelCase				: Dict											=	vocab_size
								UpperCAmelCase				: Optional[int]											=	max_position_embeddings
								UpperCAmelCase				: Union[str, Any]											=	hidden_size
								UpperCAmelCase				: Optional[int]											=	num_hidden_layers
								UpperCAmelCase				: List[str]											=	intermediate_size
								UpperCAmelCase				: str											=	hidden_act
								UpperCAmelCase				: Union[str, Any]											=	hidden_dropout_prob
								UpperCAmelCase				: Union[str, Any]											=	initializer_range
								UpperCAmelCase				: List[Any]											=	type_vocab_size
								UpperCAmelCase				: int											=	layer_norm_eps
								UpperCAmelCase				: Any											=	use_tpu_fourier_optimizations
								UpperCAmelCase				: Optional[Any]											=	tpu_short_seq_length










'''simple docstring'''






import numpy as np

UpperCamelCase__:     Any										=    [
    ["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        SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	def __init__(		self    :  Any	)    ->	None:
								UpperCAmelCase				: Optional[int]											=	np.array(__snake_case	)







	def   A			(		self    :  str	,    __snake_case    :  str	)    ->	np.ndarray:
								UpperCAmelCase							,	UpperCAmelCase				: Dict											=	np.where(letter == self.SQUARE	)
								UpperCAmelCase				: Dict											=	np.concatenate([indexa + 1, indexa + 1]	)
								return indexes







	def   A			(		self    :  Union[str, Any]	,    __snake_case    :  int	,    __snake_case    :  int	)    ->	str:
								UpperCAmelCase				: int											=	self.SQUARE[indexa - 1, indexa - 1]
								return letter







	def   A			(		self    :  List[Any]	,    __snake_case    :  str	)    ->	str:
								UpperCAmelCase				: Any											=	message.lower()
								UpperCAmelCase				: List[Any]											=	message.replace(''' '''	,    ''''''	)
								UpperCAmelCase				: List[Any]											=	message.replace('''j'''	,    '''i'''	)

								UpperCAmelCase				: Tuple											=	np.empty((2, len(__snake_case	))	)
								for letter_index in range(len(__snake_case	)	):
															UpperCAmelCase				: str											=	self.letter_to_numbers(message[letter_index]	)

															UpperCAmelCase				: Any											=	numbers[0]
															UpperCAmelCase				: Optional[Any]											=	numbers[1]

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

								return encoded_message







	def   A			(		self    :  Optional[Any]	,    __snake_case    :  str	)    ->	str:
								UpperCAmelCase				: str											=	message.lower()
								message.replace(''' '''	,    ''''''	)
								UpperCAmelCase				: Optional[int]											=	np.empty(2 * len(__snake_case	)	)
								for letter_index in range(len(__snake_case	)	):
															UpperCAmelCase				: int											=	self.letter_to_numbers(message[letter_index]	)
															UpperCAmelCase				: Optional[Any]											=	numbers[0]
															UpperCAmelCase				: List[Any]											=	numbers[1]

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

								return decoded_message





