

from .number_theory.prime_numbers import next_prime



class 		a_	:



      """simple docstring"""







      def __init__(				self					:							int      ,snake_case					:							int      ,snake_case					:							int | None = None      ,snake_case					:							float | None = None      ,):
           SCREAMING_SNAKE_CASE										=size_table
           SCREAMING_SNAKE_CASE										=[None] * self.size_table
           SCREAMING_SNAKE_CASE										=0.75 if lim_charge is None else lim_charge
           SCREAMING_SNAKE_CASE										=1 if charge_factor is None else charge_factor
           SCREAMING_SNAKE_CASE										=[]
           SCREAMING_SNAKE_CASE										={}
      def 	_lowerCAmelCase					(				self					:							Tuple    ):
           return self._keys
      def 	_lowerCAmelCase					(				self					:							Optional[int]    ):
           return sum(1 for slot in self.values if slot is not None    ) / (
               self.size_table * self.charge_factor
           )
      def 	_lowerCAmelCase					(				self					:							Optional[Any]      ,snake_case					:							List[str]    ):
           return key % self.size_table
      def 	_lowerCAmelCase					(				self					:							List[str]      ,snake_case					:							Any    ):
           print(f'step {step_ord}'    )
           print(list(range(len(self.values    )    )    )    )
           print(self.values    )
      def 	_lowerCAmelCase					(				self					:							Dict      ,snake_case					:							Tuple    ):
           SCREAMING_SNAKE_CASE										=1
           SCREAMING_SNAKE_CASE										=values
           for value in values:
                self.insert_data(snake_case    )
                self._step_by_step(snake_case    )
                i += 1
      def 	_lowerCAmelCase					(				self					:							str      ,snake_case					:							List[str]      ,snake_case					:							List[Any]    ):
           SCREAMING_SNAKE_CASE										=data
           SCREAMING_SNAKE_CASE										=data
      def 	_lowerCAmelCase					(				self					:							Union[str, Any]      ,snake_case					:							Dict      ,snake_case					:							Union[str, Any]=None    ):
           SCREAMING_SNAKE_CASE										=self.hash_function(key + 1    )

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

           return new_key
      def 	_lowerCAmelCase					(				self					:							List[str]    ):
           SCREAMING_SNAKE_CASE										=[value for value in self.values if value is not None]
           SCREAMING_SNAKE_CASE										=next_prime(self.size_table      ,factor=2    )
           self._keys.clear()
           SCREAMING_SNAKE_CASE										=[None] * self.size_table  # hell's pointers D: don't DRY ;/
           for value in survivor_values:
                self.insert_data(snake_case    )


      def 	_lowerCAmelCase					(				self					:							Optional[int]      ,snake_case					:							Optional[int]    ):
           SCREAMING_SNAKE_CASE										=self.hash_function(snake_case    )

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

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

           else:
                SCREAMING_SNAKE_CASE										=self._collision_resolution(snake_case      ,snake_case    )
                if collision_resolution is not None:
                     self._set_value(snake_case      ,snake_case    )
                else:
                     self.rehashing()
                     self.insert_data(snake_case    )




from typing import TYPE_CHECKING

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


_lowerCamelCase								={
    "configuration_xlm_prophetnet": ["XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMProphetNetConfig"],
}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _lowerCamelCase								=["XLMProphetNetTokenizer"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _lowerCamelCase								=[
     "XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
     "XLMProphetNetDecoder",
     "XLMProphetNetEncoder",
     "XLMProphetNetForCausalLM",
     "XLMProphetNetForConditionalGeneration",
     "XLMProphetNetModel",
     "XLMProphetNetPreTrainedModel",
 ]


if TYPE_CHECKING:
 from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_xlm_prophetnet import (
      XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
      XLMProphetNetDecoder,
      XLMProphetNetEncoder,
      XLMProphetNetForCausalLM,
      XLMProphetNetForConditionalGeneration,
      XLMProphetNetModel,
      XLMProphetNetPreTrainedModel,
  )

else:
 import sys

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

