
'''simple docstring'''
from collections import Counter
from functools import total_ordering

from data_structures.heap.heap import Heap






@total_ordering
class   snake_case__					:







		"""simple docstring"""

		def __init__(			self							: Optional[Any]     ,  UpperCamelCase__							: str     ,  UpperCamelCase__							: int			)	-> None:






				"""simple docstring"""







				snake_case     :					Union[str, Any]     =	word
				snake_case     :					Optional[Any]     =	count



		def __eq__(			self							: Dict     ,  UpperCamelCase__							: object			)	-> bool:






				"""simple docstring"""







				if not isinstance(UpperCamelCase__     ,  UpperCamelCase__			):
						return NotImplemented
				return self.count == other.count



		def __lt__(			self							: Optional[int]     ,  UpperCamelCase__							: object			)	-> bool:






				"""simple docstring"""







				if not isinstance(UpperCamelCase__     ,  UpperCamelCase__			):
						return NotImplemented
				return self.count < other.count







def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )     ->       list[str]:


		'''simple docstring'''


		snake_case     :					Heap[WordCount]     =	Heap()
		snake_case     :					int     =	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


lowercase__						=			{
    "configuration_flava": [
        "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "FlavaConfig",
        "FlavaImageCodebookConfig",
        "FlavaImageConfig",
        "FlavaMultimodalConfig",
        "FlavaTextConfig",
    ],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						=			["FlavaFeatureExtractor"]
						lowercase__						=			["FlavaImageProcessor"]
						lowercase__						=			["FlavaProcessor"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						=			[
						    "FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "FlavaForPreTraining",
						    "FlavaImageCodebook",
						    "FlavaImageModel",
						    "FlavaModel",
						    "FlavaMultimodalModel",
						    "FlavaPreTrainedModel",
						    "FlavaTextModel",
						]

if TYPE_CHECKING:
						from .configuration_flava import (
						    FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    FlavaConfig,
						    FlavaImageCodebookConfig,
						    FlavaImageConfig,
						    FlavaMultimodalConfig,
						    FlavaTextConfig,
						)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_flava import FlavaFeatureExtractor
												from .image_processing_flava import FlavaImageProcessor
												from .processing_flava import FlavaProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flava import (
												    FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
												    FlavaForPreTraining,
												    FlavaImageCodebook,
												    FlavaImageModel,
												    FlavaModel,
												    FlavaMultimodalModel,
												    FlavaPreTrainedModel,
												    FlavaTextModel,
												)

else:
						import sys

						lowercase__						=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


