from .number_theory.prime_numbers import next_prime



class 					snake_case__       :



			def __init__(				self   :   List[str]			,	A__   :   Optional[int]			,	A__   :   Dict = None			,	A__   :   Tuple = None			,	)							->     None:




									'''simple docstring'''




									snake_case_     :			Union[str, Any]       =       size_table
									snake_case_     :			Tuple       =       [None] * self.size_table
									snake_case_     :			List[str]       =       0.75 if lim_charge is None else lim_charge
									snake_case_     :			Tuple       =       1 if charge_factor is None else charge_factor
									snake_case_     :			list       =       []
									snake_case_     :			dict       =       {}



			def 					UpperCAmelCase__       (				self   :   str   )							->     Dict:




									'''simple docstring'''




									return self._keys



			def 					UpperCAmelCase__       (				self   :   Optional[int]   )							->     int:




									'''simple docstring'''




									return sum(1 for slot in self.values if slot is not None   ) / (
									    self.size_table * self.charge_factor
									)



			def 					UpperCAmelCase__       (				self   :   List[Any]			,	A__   :   Any   )							->     Optional[int]:




									'''simple docstring'''




									return key % self.size_table



			def 					UpperCAmelCase__       (				self   :   Union[str, Any]			,	A__   :   Any   )							->     Union[str, Any]:




									'''simple docstring'''




									print(f"step {step_ord}"   )
									print(list(range(len(self.values   )   )   )   )
									print(self.values   )



			def 					UpperCAmelCase__       (				self   :   Optional[int]			,	A__   :   Any   )							->     int:




									'''simple docstring'''




									snake_case_     :			Tuple       =       1
									snake_case_     :			Optional[Any]       =       values
									for value in values:
															self.insert_data(A__   )
															self._step_by_step(A__   )
															i += 1



			def 					UpperCAmelCase__       (				self   :   Optional[int]			,	A__   :   Optional[int]			,	A__   :   Any   )							->     Optional[Any]:




									'''simple docstring'''




									snake_case_     :			int       =       data
									snake_case_     :			Dict       =       data



			def 					UpperCAmelCase__       (				self   :   Union[str, Any]			,	A__   :   Optional[Any]			,	A__   :   Dict=None   )							->     List[Any]:




									'''simple docstring'''




									snake_case_     :			Optional[int]       =       self.hash_function(key + 1   )

									while self.values[new_key] is not None and self.values[new_key] != key:
															if self.values.count(A__   ) > 0:
																					snake_case_     :			int       =       self.hash_function(new_key + 1   )
															else:
																					snake_case_     :			Any       =       None
																					break

									return new_key



			def 					UpperCAmelCase__       (				self   :   List[Any]   )							->     Union[str, Any]:




									'''simple docstring'''




									snake_case_     :			int       =       [value for value in self.values if value is not None]
									snake_case_     :			Optional[Any]       =       next_prime(self.size_table			,	factor=2   )
									self._keys.clear()
									snake_case_     :			Any       =       [None] * self.size_table  # hell's pointers D: don't DRY ;/
									for value in survivor_values:
															self.insert_data(A__   )



			def 					UpperCAmelCase__       (				self   :   List[str]			,	A__   :   Any   )							->     str:




									'''simple docstring'''




									snake_case_     :			Union[str, Any]       =       self.hash_function(A__   )

									if self.values[key] is None:
															self._set_value(A__			,	A__   )

									elif self.values[key] == data:
															pass

									else:
															snake_case_     :			str       =       self._collision_resolution(A__			,	A__   )
															if collision_resolution is not None:
																					self._set_value(A__			,	A__   )
															else:
																					self.rehashing()
																					self.insert_data(A__   )




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase							=       {
    "configuration_nystromformer": ["NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "NystromformerConfig"],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase							=       [
         "NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
         "NystromformerForMaskedLM",
         "NystromformerForMultipleChoice",
         "NystromformerForQuestionAnswering",
         "NystromformerForSequenceClassification",
         "NystromformerForTokenClassification",
         "NystromformerLayer",
         "NystromformerModel",
         "NystromformerPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_nystromformer import (
              NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
              NystromformerForMaskedLM,
              NystromformerForMultipleChoice,
              NystromformerForQuestionAnswering,
              NystromformerForSequenceClassification,
              NystromformerForTokenClassification,
              NystromformerLayer,
              NystromformerModel,
              NystromformerPreTrainedModel,
          )


else:
     import sys

     UpperCAmelCase							=       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



