



'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE :      Optional[Any]             =logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE :      Optional[int]             ={
    'uw-madison/nystromformer-512': 'https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}


class   SCREAMING_SNAKE_CASE__				(   snake_case_					):
 """simple docstring"""


 A__    :    Any						=				'''nystromformer'''


 def __init__(		self					,   A=3_00_00					,   A=7_68					,   A=12					,   A=12					,   A=30_72					,   A="gelu_new"					,   A=0.1					,   A=0.1					,   A=5_10					,   A=2					,   A=64					,   A=64					,   A=65					,   A=False					,   A=0.02					,   A=1e-5					,   A=1					,   A=0					,   A=2					,   **A					,   ) ->							str:
    A:      str														=   vocab_size
    A:      List[str]														=   max_position_embeddings
    A:      Dict														=   hidden_size
    A:      str														=   num_hidden_layers
    A:      str														=   num_attention_heads
    A:      int														=   intermediate_size
    A:      List[str]														=   hidden_act
    A:      str														=   hidden_dropout_prob
    A:      int														=   attention_probs_dropout_prob
    A:      str														=   initializer_range
    A:      List[str]														=   type_vocab_size
    A:      Union[str, Any]														=   segment_means_seq_len
    A:      List[str]														=   num_landmarks
    A:      Tuple														=   conv_kernel_size
    A:      Tuple														=   inv_coeff_init_option
    A:      Any														=   layer_norm_eps
    super().__init__(pad_token_id=A					,   bos_token_id=A					,   eos_token_id=A					,   **A			)










'''simple docstring'''
from .hash_table import HashTable
from .number_theory.prime_numbers import is_prime, next_prime


class   SCREAMING_SNAKE_CASE__				(   snake_case_					):
	"""simple docstring"""


	def __init__(		self					,   *A					,   **A			) ->							Dict:
				super().__init__(*A					,   **A			)


	def      a__ (		self					,   A					,   A			) ->							Dict:
				A:      int														=   (
				    next_prime(value % self.size_table			)
				    if not is_prime(value % self.size_table			)
				    else value % self.size_table
				)  # gt = bigger than
				return next_prime_gt - (data % next_prime_gt)


	def      a__ (		self					,   A					,   A					,   A			) ->							int:
				return (increment * self.__hash_function_a(A					,   A			)) % self.size_table





	def      a__ (		self					,   A					,   A=None			) ->							str:
				A:      Tuple														=   1
				A:      str														=   self.hash_function(A			)

				while self.values[new_key] is not None and self.values[new_key] != key:
							A:      int														=   (
							    self.__hash_double_function(A					,   A					,   A			)
							    if self.balanced_factor() >= self.lim_charge
							    else None
							)
							if new_key is None:
										break
							else:
										i += 1

				return new_key





