code: 
  
  '''simple docstring'''
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  lowerCAmelCase   :List[Any]								=    logging.get_logger(__name__)
  
  lowerCAmelCase   :Optional[int]								=    {
      '''openbmb/cpm-ant-10b''': '''https://huggingface.co/openbmb/cpm-ant-10b/blob/main/config.json'''
      # See all CPMAnt models at https://huggingface.co/models?filter=cpmant
  }
  class _lowerCamelCase (		UpperCamelCase__							):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		A_			:    Optional[int]   					=       """cpmant"""
  
  
  
  
  
  
  
  		def __init__(      self	:		int						,  _A	:		Any = 30720						,  _A	:		Optional[int] = 4096						,  _A	:		Dict = 32						,  _A	:		Optional[Any] = 128						,  _A	:		Dict = 10240						,  _A	:		List[str] = 48						,  _A	:		Dict = 0.0						,  _A	:		Optional[Any] = 512						,  _A	:		Tuple = 2048						,  _A	:		List[str] = 1E-6						,  _A	:		List[str] = 1.0						,  _A	:		str = 32						,  _A	:		Optional[int] = 32						,  _A	:		str = 32						,  _A	:		Any = True						,  **_A	:		int						,  )						->				Union[str, Any]:
  			super().__init__(**snake_case_    )
  			__magic_name__ :					Tuple  			=  prompt_types
  			__magic_name__ :					Tuple  			=  prompt_length
  			__magic_name__ :					Optional[Any]  			=  segment_types
  			__magic_name__ :					Tuple  			=  hidden_size
  			__magic_name__ :					Optional[Any]  			=  num_attention_heads
  			__magic_name__ :					str  			=  dim_head
  			__magic_name__ :					Tuple  			=  dim_ff
  			__magic_name__ :					Any  			=  num_hidden_layers
  			__magic_name__ :					Tuple  			=  position_bias_num_buckets
  			__magic_name__ :					Tuple  			=  position_bias_max_distance
  			__magic_name__ :					Optional[int]  			=  dropout_p
  			__magic_name__ :					int  			=  eps
  			__magic_name__ :					Any  			=  use_cache
  			__magic_name__ :					Optional[int]  			=  vocab_size
  			__magic_name__ :					List[Any]  			=  init_std
style_context: 
  
  
  '''simple docstring'''
  
  from .number_theory.prime_numbers import next_prime
  class _lowerCamelCase :
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		def __init__(      self	:		Dict						,  _A	:		int						,  _A	:		int | None = None						,  _A	:		float | None = None						,  )						->				None:
  			__magic_name__ :					Optional[int]  			=  size_table
  			__magic_name__ :					int  			=  [None] * self.size_table
  			__magic_name__ :					int  			=  0.75 if lim_charge is None else lim_charge
  			__magic_name__ :					int  			=  1 if charge_factor is None else charge_factor
  			__magic_name__ :					list  			=  []
  			__magic_name__ :					dict  			=  {}
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[str]    )						->				str:
  			return self._keys
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Dict    )						->				Optional[Any]:
  			return sum(1 for slot in self.values if slot is not None    ) / (
  			    self.size_table * self.charge_factor
  			)
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		int						,  _A	:		int    )						->				List[Any]:
  			return key % self.size_table
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[Any]						,  _A	:		Tuple    )						->				Optional[int]:
  			print(F'step {step_ord}'    )
  			print(list(range(len(self.values    )    )    )    )
  			print(self.values    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		str						,  _A	:		Optional[Any]    )						->				Optional[int]:
  			__magic_name__ :					int  			=  1
  			__magic_name__ :					Optional[int]  			=  values
  			for value in values:
  				self.insert_data(_A    )
  				self._step_by_step(_A    )
  				i += 1
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[Any]						,  _A	:		List[str]						,  _A	:		List[Any]    )						->				Dict:
  			__magic_name__ :					str  			=  data
  			__magic_name__ :					Optional[int]  			=  data
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Union[str, Any]						,  _A	:		List[Any]						,  _A	:		Union[str, Any]=None    )						->				int:
  			__magic_name__ :					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:
  					__magic_name__ :					Dict  			=  self.hash_function(new_key + 1    )
  				else:
  					__magic_name__ :					Tuple  			=  None
  					break
  
  			return new_key
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[str]    )						->				Tuple:
  			__magic_name__ :					Dict  			=  [value for value in self.values if value is not None]
  			__magic_name__ :					int  			=  next_prime(self.size_table						,  factor=2    )
  			self._keys.clear()
  			__magic_name__ :					Tuple  			=  [None] * self.size_table  # hell's pointers D: don't DRY ;/
  			for value in survivor_values:
  				self.insert_data(_A    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Tuple						,  _A	:		Union[str, Any]    )						->				Tuple:
  			__magic_name__ :					Tuple  			=  self.hash_function(_A    )
  
  			if self.values[key] is None:
  				self._set_value(_A						,  _A    )
  
  			elif self.values[key] == data:
  				pass
  
  			else:
  				__magic_name__ :					str  			=  self._collision_resolution(_A						,  _A    )
  				if collision_resolution is not None:
  					self._set_value(_A						,  _A    )
  				else:
  					self.rehashing()
  					self.insert_data(_A    )