






"""simple docstring"""


from typing import TYPE_CHECKING

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


__SCREAMING_SNAKE_CASE      =      {
    'configuration_markuplm': ['MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MarkupLMConfig'],
    'feature_extraction_markuplm': ['MarkupLMFeatureExtractor'],
    'processing_markuplm': ['MarkupLMProcessor'],
    'tokenization_markuplm': ['MarkupLMTokenizer'],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE      =      ['MarkupLMTokenizerFast']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE      =      [
		    'MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'MarkupLMForQuestionAnswering',
		    'MarkupLMForSequenceClassification',
		    'MarkupLMForTokenClassification',
		    'MarkupLMModel',
		    'MarkupLMPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_markuplm import MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP, MarkupLMConfig
		from .feature_extraction_markuplm import MarkupLMFeatureExtractor
		from .processing_markuplm import MarkupLMProcessor
		from .tokenization_markuplm import MarkupLMTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_markuplm_fast import MarkupLMTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_markuplm import (
				    MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MarkupLMForQuestionAnswering,
				    MarkupLMForSequenceClassification,
				    MarkupLMForTokenClassification,
				    MarkupLMModel,
				    MarkupLMPreTrainedModel,
				)


else:
		import sys

		__SCREAMING_SNAKE_CASE      =      _LazyModule(__name__, globals()['__file__'], _import_structure)












"""simple docstring"""


from .number_theory.prime_numbers import next_prime




class 	__UpperCamelCase    :
					def __init__(       self       :  List[str]    ,   UpperCAmelCase       :  int    ,   UpperCAmelCase       :  int | None = None    ,   UpperCAmelCase       :  float | None = None    ,   )  ->					None:
											lowerCAmelCase      :Tuple				  = size_table
											lowerCAmelCase      :List[Any]				  = [None] * self.size_table
											lowerCAmelCase      :Tuple				  = 0.7_5 if lim_charge is None else lim_charge
											lowerCAmelCase      :str				  = 1 if charge_factor is None else charge_factor
											lowerCAmelCase      :list				  = []
											lowerCAmelCase      :dict				  = {}
					def 					UpperCAmelCase__   (       self       :  Optional[int]      )  ->					Union[str, Any]:
											return self._keys
					def 					UpperCAmelCase__   (       self       :  Dict      )  ->					Optional[Any]:
											return sum(1 for slot in self.values if slot is not None      ) / (
											    self.size_table * self.charge_factor
											)
					def 					UpperCAmelCase__   (       self       :  Any    ,   UpperCAmelCase       :  List[str]      )  ->					int:
											return key % self.size_table
					def 					UpperCAmelCase__   (       self       :  Dict    ,   UpperCAmelCase       :  Union[str, Any]      )  ->					int:
											print(f"""step {step_ord}"""      )
											print(list(range(len(self.values      )      )      )      )
											print(self.values      )
					def 					UpperCAmelCase__   (       self       :  Any    ,   UpperCAmelCase       :  Dict      )  ->					Any:
											lowerCAmelCase      :List[str]				  = 1
											lowerCAmelCase      :Union[str, Any]				  = values
											for value in values:
																	self.insert_data(UpperCAmelCase      )
																	self._step_by_step(UpperCAmelCase      )
																	i += 1
					def 					UpperCAmelCase__   (       self       :  str    ,   UpperCAmelCase       :  Dict    ,   UpperCAmelCase       :  Union[str, Any]      )  ->					Optional[Any]:
											lowerCAmelCase      :List[Any]				  = data
											lowerCAmelCase      :str				  = data
					def 					UpperCAmelCase__   (       self       :  Optional[int]    ,   UpperCAmelCase       :  str    ,   UpperCAmelCase       :  str=None      )  ->					Tuple:
											lowerCAmelCase      :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:
																							lowerCAmelCase      :Tuple				  = self.hash_function(new_key + 1      )
																	else:
																							lowerCAmelCase      :Union[str, Any]				  = None
																							break

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

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

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

											else:
																	lowerCAmelCase      :Tuple				  = self._collision_resolution(UpperCAmelCase    ,   UpperCAmelCase      )
																	if collision_resolution is not None:
																							self._set_value(UpperCAmelCase    ,   UpperCAmelCase      )
																	else:
																							self.rehashing()
																							self.insert_data(UpperCAmelCase      )