
from .number_theory.prime_numbers import next_prime



class 			UpperCamelCase_			:




							'''simple docstring'''

							def __init__(				self     ,						UpperCamelCase     ,						UpperCamelCase = None     ,						UpperCamelCase = None     ,						) ->	None:
										UpperCamelCase__    :		List[str]     =				size_table
										UpperCamelCase__    :		Optional[int]     =				[None] * self.size_table
										UpperCamelCase__    :		Optional[Any]     =				0.75 if lim_charge is None else lim_charge
										UpperCamelCase__    :		Tuple     =				1 if charge_factor is None else charge_factor
										UpperCamelCase__    :		list     =				[]
										UpperCamelCase__    :		dict     =				{}
							def        lowerCAmelCase__ (				self) ->	List[str]:
										return self._keys
							def        lowerCAmelCase__ (				self) ->	str:
										return sum(1 for slot in self.values if slot is not None) / (
										    self.size_table * self.charge_factor
										)
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	Any:
										return key % self.size_table
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	List[str]:
										print(F"""step {step_ord}""")
										print(list(range(len(self.values))))
										print(self.values)
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	List[Any]:
										UpperCamelCase__    :		List[str]     =				1
										UpperCamelCase__    :		int     =				values
										for value in values:
													self.insert_data(UpperCamelCase)
													self._step_by_step(UpperCamelCase)
													i += 1
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase     ,						UpperCamelCase) ->	List[Any]:
										UpperCamelCase__    :		List[str]     =				data
										UpperCamelCase__    :		Union[str, Any]     =				data
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase     ,						UpperCamelCase=None) ->	List[Any]:
										UpperCamelCase__    :		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(UpperCamelCase) > 0:
																UpperCamelCase__    :		List[Any]     =				self.hash_function(new_key + 1)
													else:
																UpperCamelCase__    :		Any     =				None
																break

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






							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	List[Any]:
										UpperCamelCase__    :		Optional[Any]     =				self.hash_function(UpperCamelCase)

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

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

										else:
													UpperCamelCase__    :		int     =				self._collision_resolution(UpperCamelCase     ,						UpperCamelCase)
													if collision_resolution is not None:
																self._set_value(UpperCamelCase     ,						UpperCamelCase)
													else:
																self.rehashing()
																self.insert_data(UpperCamelCase)





from typing import TYPE_CHECKING

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


UpperCAmelCase__				:  str       					=				{
    '''configuration_mobilevitv2''': [
        '''MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''MobileViTV2Config''',
        '''MobileViTV2OnnxConfig''',
    ],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__				:  List[Any]       					=				[
							    '''MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''MobileViTV2ForImageClassification''',
							    '''MobileViTV2ForSemanticSegmentation''',
							    '''MobileViTV2Model''',
							    '''MobileViTV2PreTrainedModel''',
							]

if TYPE_CHECKING:
							from .configuration_mobilevitva import (
							    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    MobileViTVaConfig,
							    MobileViTVaOnnxConfig,
							)

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mobilevitva import (
														    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MobileViTVaForImageClassification,
														    MobileViTVaForSemanticSegmentation,
														    MobileViTVaModel,
														    MobileViTVaPreTrainedModel,
														)

else:
							import sys

							UpperCAmelCase__				:  List[str]       					=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



