from collections.abc import Callable


class 	lowerCamelCase_     :






    '''simple docstring'''






    def __init__(	self , __lowercase = None)       ->	None:
        # Stores actual heap items.
        __UpperCamelCase     :list			  =		[]
        # Stores indexes of each item for supporting updates and deletion.
        __UpperCamelCase     :dict			  =		{}
        # Stores current size of heap.
        __UpperCamelCase     :str			  =		0
        # Stores function used to evaluate the score of an item on which basis ordering
        # will be done.
        __UpperCamelCase     :int			  =		key or (lambda __lowercase: x)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	int | None:
        return int((i - 1) / 2) if i > 0 else None







    def 			UpperCamelCase__   (	self , __lowercase)       ->	int | None:
        __UpperCamelCase     :Union[str, Any]			  =		int(2 * i + 1)
        return left if 0 < left < self.size else None







    def 			UpperCamelCase__   (	self , __lowercase)       ->	int | None:
        __UpperCamelCase     :Optional[int]			  =		int(2 * i + 2)
        return right if 0 < right < self.size else None







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase)       ->	None:
        __UpperCamelCase  ,       __UpperCamelCase     :Optional[int]			  =		(
            self.pos_map[self.arr[j][0]],
            self.pos_map[self.arr[i][0]],
        )
        # Then swap the items in the list.
        __UpperCamelCase  ,       __UpperCamelCase     :List[Any]			  =		self.arr[j], self.arr[i]







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase)       ->	bool:
        return self.arr[i][1] < self.arr[j][1]







    def 			UpperCamelCase__   (	self , __lowercase)       ->	int:
        __UpperCamelCase     :List[str]			  =		self._left(__lowercase)
        __UpperCamelCase     :Tuple			  =		self._right(__lowercase)
        __UpperCamelCase     :List[str]			  =		i

        if left is not None and not self._cmp(__lowercase , __lowercase):
            __UpperCamelCase     :Optional[Any]			  =		left
        if right is not None and not self._cmp(__lowercase , __lowercase):
            __UpperCamelCase     :Optional[Any]			  =		right

        return valid_parent







    def 			UpperCamelCase__   (	self , __lowercase)       ->	None:
        __UpperCamelCase     :Optional[int]			  =		self._parent(__lowercase)
        while parent is not None and not self._cmp(__lowercase , __lowercase):
            self._swap(__lowercase , __lowercase)
            __UpperCamelCase  ,       __UpperCamelCase     :Union[str, Any]			  =		parent, self._parent(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	None:
        __UpperCamelCase     :List[str]			  =		self._get_valid_parent(__lowercase)
        while valid_parent != index:
            self._swap(__lowercase , __lowercase)
            __UpperCamelCase  ,       __UpperCamelCase     :Dict			  =		valid_parent, self._get_valid_parent(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase)       ->	None:
        if item not in self.pos_map:
            return
        __UpperCamelCase     :Any			  =		self.pos_map[item]
        __UpperCamelCase     :Union[str, Any]			  =		[item, self.key(__lowercase)]
        # Make sure heap is right in both up and down direction.
        # Ideally only one of them will make any change.
        self._heapify_up(__lowercase)
        self._heapify_down(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase)       ->	None:
        if item not in self.pos_map:
            return
        __UpperCamelCase     :Any			  =		self.pos_map[item]
        del self.pos_map[item]
        __UpperCamelCase     :Any			  =		self.arr[self.size - 1]
        __UpperCamelCase     :Optional[int]			  =		index
        self.size -= 1
        # Make sure heap is right in both up and down direction. Ideally only one
        # of them will make any change- so no performance loss in calling both.
        if self.size > index:
            self._heapify_up(__lowercase)
            self._heapify_down(__lowercase)







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase)       ->	None:
        __UpperCamelCase     :Optional[Any]			  =		len(self.arr)
        if arr_len == self.size:
            self.arr.append([item, self.key(__lowercase)])
        else:
            __UpperCamelCase     :Optional[Any]			  =		[item, self.key(__lowercase)]
        __UpperCamelCase     :List[Any]			  =		self.size
        self.size += 1
        self._heapify_up(self.size - 1)







    def 			UpperCamelCase__   (	self)       ->	tuple | None:
        return self.arr[0] if self.size else None







    def 			UpperCamelCase__   (	self)       ->	tuple | None:
        __UpperCamelCase     :Any			  =		self.get_top()
        if top_item_tuple:
            self.delete_item(top_item_tuple[0])
        return top_item_tuple



def lowerCamelCase  (   ):
    '''simple docstring'''









if __name__ == "__main__":
    import doctest

    doctest.testmod()






# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch

from ..models.auto import AutoModelForSequenceClassification, AutoTokenizer
from .base import PipelineTool


class 	lowerCamelCase_     (   UpperCAmelCase_ ):






    '''simple docstring'''






    a__	:						Optional[Any]						=      """facebook/bart-large-mnli"""
    a__	:						int						=      (
        """This is a tool that classifies an English text using provided labels. It takes two inputs: `text`, which """
        """should be the text to classify, and `labels`, which should be the list of labels to use for classification. """
        """It returns the most likely label in the list of provided `labels` for the input text."""
    )
    a__	:						Optional[Any]						=      """text_classifier"""
    a__	:						Any						=      AutoTokenizer
    a__	:						str						=      AutoModelForSequenceClassification

    a__	:						str						=      ["""text""", ["""text"""]]
    a__	:						Optional[int]						=      ["""text"""]







    def 			UpperCamelCase__   (	self)       ->	Union[str, Any]:
        super().setup()
        __UpperCamelCase     :int			  =		self.model.config
        __UpperCamelCase     :Optional[Any]			  =		-1
        for idx, label in config.idalabel.items():
            if label.lower().startswith('''entail'''):
                __UpperCamelCase     :List[Any]			  =		int(__lowercase)
        if self.entailment_id == -1:
            raise ValueError('''Could not determine the entailment ID from the model config, please pass it at init.''')







    def 			UpperCamelCase__   (	self , __lowercase , __lowercase)       ->	Union[str, Any]:
        __UpperCamelCase     :Any			  =		labels
        return self.pre_processor(
            [text] * len(__lowercase) , [f"""This example is {label}""" for label in labels] , return_tensors='''pt''' , padding='''max_length''' , )







    def 			UpperCamelCase__   (	self , __lowercase)       ->	Optional[Any]:
        __UpperCamelCase     :List[Any]			  =		outputs.logits
        __UpperCamelCase     :Any			  =		torch.argmax(logits[:, 2]).item()
        return self._labels[label_id]





