code: 
  
  
  
  
  
  from .number_theory.prime_numbers import next_prime
  
  
  
  
  class 				_lowerCamelCase :
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        def __init__( self				,						UpperCAmelCase				,						UpperCAmelCase = None				,						UpperCAmelCase = None				,						)       ->   None:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Tuple        =       size_table
          __snake_case   :				Dict        =       [None] * self.size_table
          __snake_case   :				Tuple        =       0.75 if lim_charge is None else lim_charge
          __snake_case   :				Optional[int]        =       1 if charge_factor is None else charge_factor
          __snake_case   :				list        =       []
          __snake_case   :				dict        =       {}
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self   )       ->   str:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          return self._keys
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self   )       ->   Dict:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          return sum(1 for slot in self.values if slot is not None   ) / (
              self.size_table * self.charge_factor
          )
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase   )       ->   Optional[int]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          return key % self.size_table
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase   )       ->   Tuple:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          print(F"""step {step_ord}"""   )
          print(list(range(len(self.values   )   )   )   )
          print(self.values   )
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase   )       ->   Union[str, Any]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Optional[int]        =       1
          __snake_case   :				Optional[Any]        =       values
          for value in values:
            self.insert_data(UpperCAmelCase   )
            self._step_by_step(UpperCAmelCase   )
            i += 1
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase				,						UpperCAmelCase   )       ->   int:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				str        =       data
          __snake_case   :				Dict        =       data
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase				,						UpperCAmelCase=None   )       ->   Optional[int]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Any        =       self.hash_function(key + 1   )
  
          while self.values[new_key] is not None and self.values[new_key] != key:
            if self.values.count(UpperCAmelCase   ) > 0:
              __snake_case   :				Optional[int]        =       self.hash_function(new_key + 1   )
            else:
              __snake_case   :				str        =       None
              break
  
          return new_key
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self   )       ->   List[Any]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Tuple        =       [value for value in self.values if value is not None]
          __snake_case   :				str        =       next_prime(self.size_table				,						factor=2   )
          self._keys.clear()
          __snake_case   :				Optional[int]        =       [None] * self.size_table  # hell's pointers D: don't DRY ;/
          for value in survivor_values:
            self.insert_data(UpperCAmelCase   )
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase   )       ->   Tuple:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Optional[Any]        =       self.hash_function(UpperCAmelCase   )
  
          if self.values[key] is None:
            self._set_value(UpperCAmelCase				,						UpperCAmelCase   )
  
          elif self.values[key] == data:
            pass
  
          else:
            __snake_case   :				List[str]        =       self._collision_resolution(UpperCAmelCase				,						UpperCAmelCase   )
            if collision_resolution is not None:
              self._set_value(UpperCAmelCase				,						UpperCAmelCase   )
            else:
              self.rehashing()
              self.insert_data(UpperCAmelCase   )
  
  
style_context: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  _UpperCamelCase       = {
      '''configuration_deta''': ['''DETA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetaConfig'''],
  }
  
  try:
       if not is_vision_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       _UpperCamelCase       = ['''DetaImageProcessor''']
  
  try:
       if not is_torch_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       _UpperCamelCase       = [
           '''DETA_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''DetaForObjectDetection''',
           '''DetaModel''',
           '''DetaPreTrainedModel''',
       ]
  
  
  if TYPE_CHECKING:
       from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
  
       try:
            if not is_vision_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .image_processing_deta import DetaImageProcessor
  
       try:
            if not is_torch_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .modeling_deta import (
                DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
                DetaForObjectDetection,
                DetaModel,
                DetaPreTrainedModel,
            )
  
  else:
       import sys
  
       _UpperCamelCase       = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  