



'''simple docstring'''







from .number_theory.prime_numbers import next_prime




class 				__lowerCAmelCase:






			def __init__(   self  :							Dict      ,       SCREAMING_SNAKE_CASE  :							int      ,       SCREAMING_SNAKE_CASE  :							int | None = None      ,       SCREAMING_SNAKE_CASE  :							float | None = None      ,       ):




					"""simple docstring"""







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






			def 				_lowercase	(   self  :							List[str]	):




					"""simple docstring"""







					return self._keys






			def 				_lowercase	(   self  :							List[str]	):




					"""simple docstring"""







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






			def 				_lowercase	(   self  :							int      ,       SCREAMING_SNAKE_CASE  :							Optional[int]	):




					"""simple docstring"""







					return key % self.size_table






			def 				_lowercase	(   self  :							Optional[Any]      ,       SCREAMING_SNAKE_CASE  :							Optional[Any]	):




					"""simple docstring"""







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






			def 				_lowercase	(   self  :							Optional[int]      ,       SCREAMING_SNAKE_CASE  :							int	):




					"""simple docstring"""







					SCREAMING_SNAKE_CASE_						:str										=      1
					SCREAMING_SNAKE_CASE_						:str										=      values
					for value in values:
							self.insert_data(SCREAMING_SNAKE_CASE	)
							self._step_by_step(SCREAMING_SNAKE_CASE	)
							i += 1






			def 				_lowercase	(   self  :							str      ,       SCREAMING_SNAKE_CASE  :							int      ,       SCREAMING_SNAKE_CASE  :							int	):




					"""simple docstring"""







					SCREAMING_SNAKE_CASE_						:Union[str, Any]										=      data
					SCREAMING_SNAKE_CASE_						:Any										=      data






			def 				_lowercase	(   self  :							Any      ,       SCREAMING_SNAKE_CASE  :							Optional[Any]      ,       SCREAMING_SNAKE_CASE  :							str=None	):




					"""simple docstring"""







					SCREAMING_SNAKE_CASE_						:Optional[Any]										=      self.hash_function(key + 1	)

					while self.values[new_key] is not None and self.values[new_key] != key:
							if self.values.count(SCREAMING_SNAKE_CASE	) > 0:
									SCREAMING_SNAKE_CASE_						:Union[str, Any]										=      self.hash_function(new_key + 1	)
							else:
									SCREAMING_SNAKE_CASE_						:Tuple										=      None
									break

					return new_key






			def 				_lowercase	(   self  :							Dict	):




					"""simple docstring"""







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






			def 				_lowercase	(   self  :							List[str]      ,       SCREAMING_SNAKE_CASE  :							List[Any]	):




					"""simple docstring"""







					SCREAMING_SNAKE_CASE_						:List[Any]										=      self.hash_function(SCREAMING_SNAKE_CASE	)

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

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

					else:
							SCREAMING_SNAKE_CASE_						:Optional[Any]										=      self._collision_resolution(SCREAMING_SNAKE_CASE      ,       SCREAMING_SNAKE_CASE	)
							if collision_resolution is not None:
									self._set_value(SCREAMING_SNAKE_CASE      ,       SCREAMING_SNAKE_CASE	)
							else:
									self.rehashing()
									self.insert_data(SCREAMING_SNAKE_CASE	)





'''simple docstring'''







from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__     : Dict				=   {"""configuration_detr""": ["""DETR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DetrConfig""", """DetrOnnxConfig"""]}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__     : List[Any]				=   ["""DetrFeatureExtractor"""]
							SCREAMING_SNAKE_CASE__     : str				=   ["""DetrImageProcessor"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__     : Optional[Any]				=   [
							    """DETR_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """DetrForObjectDetection""",
							    """DetrForSegmentation""",
							    """DetrModel""",
							    """DetrPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_detr import DetrFeatureExtractor
														from .image_processing_detr import DetrImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_detr import (
														    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
														    DetrForObjectDetection,
														    DetrForSegmentation,
														    DetrModel,
														    DetrPreTrainedModel,
														)

else:
							import sys

							SCREAMING_SNAKE_CASE__     : Optional[Any]				=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
