
from typing import List

from .keymap import KEYMAP, get_character




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    str)      ->					List[str]:






							'''simple docstring'''





							def decorator(_lowerCamelCase				:    List[str]):
														__UpperCamelCase			:     List[Any]         =      getattr(_lowerCamelCase		,						"handle_key"		,						[])
														handle += [key]
														setattr(_lowerCamelCase		,						"handle_key"		,						_lowerCamelCase)
														return func

							return decorator




def 			_SCREAMING_SNAKE_CASE      (	*_lowerCamelCase				:    List[str])      ->					Optional[int]:






							'''simple docstring'''





							def decorator(_lowerCamelCase				:    Optional[int]):
														__UpperCamelCase			:     Dict         =      getattr(_lowerCamelCase		,						"handle_key"		,						[])
														handle += keys
														setattr(_lowerCamelCase		,						"handle_key"		,						_lowerCamelCase)
														return func

							return decorator




class 				lowerCamelCase__							(       __lowercase):




	'''simple docstring'''




	def __new__(      cls	:Tuple  ,     a	:Any  ,     a	:str  ,     a	:List[str]		)	->				str:
								__UpperCamelCase			:     Dict         =      super().__new__(cls  ,     a  ,     a  ,     a		)
								if not hasattr(a  ,     "key_handler"		):
															setattr(a  ,     "key_handler"  ,     {}		)
								setattr(a  ,     "handle_input"  ,     KeyHandler.handle_input		)

								for value in attrs.values():
															__UpperCamelCase			:     Optional[int]         =      getattr(a  ,     "handle_key"  ,     []		)
															for key in handled_keys:
																						__UpperCamelCase			:     Optional[int]         =      value
								return new_cls







	@staticmethod
	def      _lowerCamelCase       (      cls	:List[Any]		)	->				List[Any]:
								__UpperCamelCase			:     Dict         =      get_character()
								if char != KEYMAP["undefined"]:
															__UpperCamelCase			:     Any         =      ord(a		)
								__UpperCamelCase			:     Union[str, Any]         =      cls.key_handler.get(a		)
								if handler:
															__UpperCamelCase			:     Optional[Any]         =      char
															return handler(cls		)
								else:
															return None




def 			_SCREAMING_SNAKE_CASE      (	cls				:    Optional[Any])      ->					Any:






							'''simple docstring'''





							return KeyHandler(cls.__name__		,						cls.__bases__		,						cls.__dict__.copy())

# 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__							(       __lowercase):




	'''simple docstring'''




	_A			=  'facebook/bart-large-mnli'
	_A			=  (
	    '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			=  'text_classifier'
	_A			=  AutoTokenizer
	_A			=  AutoModelForSequenceClassification

	_A			=  ['text', ['text']]
	_A			=  ['text']







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







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







	def      _lowerCamelCase       (      self	:Any  ,     a	:Any		)	->				Optional[int]:
								__UpperCamelCase			:     Optional[int]         =      outputs.logits
								__UpperCamelCase			:     Dict         =      torch.argmax(logits[:, 2]		).item()
								return self._labels[label_id]