



import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate

@dataclass(frozen=UpperCamelCase_	)
class        UpperCAmelCase_  (       UpperCamelCase_	):

						'''simple docstring'''




						UpperCamelCase__      :			str      =  field(default='''image-classification'''   ,   metadata={'''include_in_asdict_even_if_is_default''': True}	)
						UpperCamelCase__      :			ClassVar[Features]      =  Features({'''image''': Image()}	)
						UpperCamelCase__      :			ClassVar[Features]      =  Features({'''labels''': ClassLabel}	)
						UpperCamelCase__      :			str      =  "image"
						UpperCamelCase__      :			str      =  "labels"






						def 	_A     (   self				,							_A		):







													'''simple docstring'''

													if self.label_column not in features:
																				raise ValueError(f"""Column {self.label_column} is not present in features."""		)
													if not isinstance(features[self.label_column]				,							_A		):
																				raise ValueError(f"""Column {self.label_column} is not a ClassLabel."""		)
													__SCREAMING_SNAKE_CASE									= copy.deepcopy(self		)
													__SCREAMING_SNAKE_CASE									= self.label_schema.copy()
													__SCREAMING_SNAKE_CASE									= features[self.label_column]
													__SCREAMING_SNAKE_CASE									= label_schema
													return task_template






						@property
						def 	_A     (   self		):







													'''simple docstring'''

													return {
													    self.image_column: "image",
													    self.label_column: "labels",
													}











from collections import deque

from .hash_table import HashTable

class        UpperCAmelCase_  (       UpperCamelCase_	):

						'''simple docstring'''




						def __init__(   self				,							*_A				,							**_A		):







													'''simple docstring'''

													super().__init__(*_A				,							**_A		)






						def 	_A     (   self				,							_A				,							_A		):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE									= deque([]		) if self.values[key] is None else self.values[key]
													self.values[key].appendleft(_A		)
													__SCREAMING_SNAKE_CASE									= self.values[key]






						def 	_A     (   self		):







													'''simple docstring'''

													return (
													    sum(self.charge_factor - len(_A		) for slot in self.values		)
													    / self.size_table
													    * self.charge_factor
													)






						def 	_A     (   self				,							_A				,							_A=None		):







													'''simple docstring'''

													if not (
													    len(self.values[key]		) == self.charge_factor and self.values.count(_A		) == 0
													):
																				return key
													return super()._collision_resolution(_A				,							_A		)






