






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


UpperCAmelCase__							  =						logging.get_logger(__name__)

UpperCAmelCase__							  =						{
    "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 						lowercase_   (      SCREAMING_SNAKE_CASE__  ):






      '''simple docstring'''




      __snake_case	    =    '''fnet'''







      def __init__( self :		Tuple					,   __UpperCAmelCase :		int=32_000					,   __UpperCAmelCase :		str=768					,   __UpperCAmelCase :		List[Any]=12					,   __UpperCAmelCase :		Optional[int]=3_072					,   __UpperCAmelCase :		Dict="gelu_new"					,   __UpperCAmelCase :		Optional[int]=0.1					,   __UpperCAmelCase :		int=512					,   __UpperCAmelCase :		Optional[int]=4					,   __UpperCAmelCase :		Optional[Any]=0.02					,   __UpperCAmelCase :		List[Any]=1e-1_2					,   __UpperCAmelCase :		int=False					,   __UpperCAmelCase :		Optional[Any]=512					,   __UpperCAmelCase :		Optional[Any]=3					,   __UpperCAmelCase :		Dict=1					,   __UpperCAmelCase :		Dict=2					,   **__UpperCAmelCase :		int					,   )       ->List[str]:




       """simple docstring"""


       super().__init__(pad_token_id=__UpperCAmelCase					,   bos_token_id=__UpperCAmelCase					,   eos_token_id=__UpperCAmelCase					,   **__UpperCAmelCase    )

       a						    = vocab_size
       a						    = max_position_embeddings
       a						    = hidden_size
       a						    = num_hidden_layers
       a						    = intermediate_size
       a						    = hidden_act
       a						    = hidden_dropout_prob
       a						    = initializer_range
       a						    = type_vocab_size
       a						    = layer_norm_eps
       a						    = use_tpu_fourier_optimizations
       a						    = tpu_short_seq_length








def lowercase    (  SCREAMING_SNAKE_CASE )			->							int:


			'''simple docstring'''







			if not numbers:
						return 0

			if not isinstance(SCREAMING_SNAKE_CASE       ,    (list, tuple) ) or not all(
			    isinstance(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE ) for number in numbers ):
						raise ValueError('numbers must be an iterable of integers' )

			SCREAMING_SNAKE_CASE_								=						SCREAMING_SNAKE_CASE_								=						SCREAMING_SNAKE_CASE_								=						numbers[0]

			for i in range(1       ,    len(SCREAMING_SNAKE_CASE ) ):
						# update the maximum and minimum subarray products
						SCREAMING_SNAKE_CASE_								=						numbers[i]
						if number < 0:
									SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						min_till_now, max_till_now
						SCREAMING_SNAKE_CASE_								=						max(SCREAMING_SNAKE_CASE       ,    max_till_now * number )
						SCREAMING_SNAKE_CASE_								=						min(SCREAMING_SNAKE_CASE       ,    min_till_now * number )

						# update the maximum product found till now
						SCREAMING_SNAKE_CASE_								=						max(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE )

			return max_prod
