"""simple docstring"""






from collections import Counter
from functools import total_ordering

from data_structures.heap.heap import Heap
@total_ordering
class   UpperCAmelCase__				:


	"""simple docstring"""







	def __init__(			self       ,     _SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE )    ->	None:
							a_							:			str     		=					word
							a_							:			str     		=					count







	def __eq__(			self       ,     _SCREAMING_SNAKE_CASE )    ->	bool:
							if not isinstance(_SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE ):
													return NotImplemented
							return self.count == other.count







	def __lt__(			self       ,     _SCREAMING_SNAKE_CASE )    ->	bool:
							if not isinstance(_SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE ):
													return NotImplemented
							return self.count < other.count




def  lowerCAmelCase_      (_SCREAMING_SNAKE_CASE	:list[str]		,			_SCREAMING_SNAKE_CASE	:int  )				-> list[str]:
						a_							:			Heap[WordCount]     		=					Heap()
						a_							:			str     		=					Counter(_SCREAMING_SNAKE_CASE  )
						heap.build_max_heap(
						    [WordCount(_SCREAMING_SNAKE_CASE		,			_SCREAMING_SNAKE_CASE  ) for word, count in count_by_word.items()]  )
						return [heap.extract_max().word for _ in range(min(_SCREAMING_SNAKE_CASE		,			len(_SCREAMING_SNAKE_CASE  )  )  )]


if __name__ == "__main__":
				import doctest

				doctest.testmod()





"""simple docstring"""






from typing import TYPE_CHECKING

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


UpperCamelCase     					=     {'configuration_levit': ['LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LevitConfig', 'LevitOnnxConfig']}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase     					=     ['LevitFeatureExtractor']
				UpperCamelCase     					=     ['LevitImageProcessor']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase     					=     [
				    'LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'LevitForImageClassification',
				    'LevitForImageClassificationWithTeacher',
				    'LevitModel',
				    'LevitPreTrainedModel',
				]


if TYPE_CHECKING:
				from .configuration_levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig, LevitOnnxConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_levit import LevitFeatureExtractor
								from .image_processing_levit import LevitImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_levit import (
								    LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    LevitForImageClassification,
								    LevitForImageClassificationWithTeacher,
								    LevitModel,
								    LevitPreTrainedModel,
								)
else:
				import sys

				UpperCamelCase     					=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




