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#
# 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 		_snake_case  (  A__					):
			_lowercase		:    str			     =							'''facebook/bart-large-mnli'''
			_lowercase		:    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.'''
			)
			_lowercase		:    Dict			     =							'''text_classifier'''
			_lowercase		:    Optional[Any]			     =							AutoTokenizer
			_lowercase		:    List[Any]			     =							AutoModelForSequenceClassification

			_lowercase		:    Union[str, Any]			     =							['''text''', ['''text''']]
			_lowercase		:    List[str]			     =							['''text''']






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Optional[int]:
						super().setup()
						SCREAMING_SNAKE_CASE						= self.model.config
						SCREAMING_SNAKE_CASE						= -1
						for idx, label in config.idalabel.items():
									if label.lower().startswith('entail'):
												SCREAMING_SNAKE_CASE						= 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    SCREAMING_SNAKE_CASE__    (       self		,					a		,					a)      ->       List[Any]:
						SCREAMING_SNAKE_CASE						= labels
						return self.pre_processor(
						    [text] * len(a)		,					[f'''This example is {label}''' for label in labels]		,					return_tensors='pt'		,					padding='max_length'		,					)







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












a_		:						Tuple             =    {
    'A': '.-', 'B': '-...', 'C': '-.-.', 'D': '-..', 'E': '.', 'F': '..-.', 'G': '--.',
    'H': '....', 'I': '..', 'J': '.---', 'K': '-.-', 'L': '.-..', 'M': '--', 'N': '-.',
    'O': '---', 'P': '.--.', 'Q': '--.-', 'R': '.-.', 'S': '...', 'T': '-', 'U': '..-',
    'V': '...-', 'W': '.--', 'X': '-..-', 'Y': '-.--', 'Z': '--..', '1': '.----',
    '2': '..---', '3': '...--', '4': '....-', '5': '.....', '6': '-....', '7': '--...',
    '8': '---..', '9': '----.', '0': '-----', '&': '.-...', '@': '.--.-.',
    ':': '---...', ',': '--..--', '.': '.-.-.-', '\'': '.----.', '"': '.-..-.',
    '?': '..--..', '/': '-..-.', '=': '-...-', '+': '.-.-.', '-': '-....-',
    '(': '-.--.', ')': '-.--.-', '!': '-.-.--', ' ': '/'
}  # Exclamation mark is not in ITU-R recommendation
# fmt: on
a_		:						List[Any]             =    {value: key for key, value in MORSE_CODE_DICT.items()}






def 				lowerCamelCase__				(_UpperCAmelCase):
			return " ".join(MORSE_CODE_DICT[char] for char in message.upper())






def 				lowerCamelCase__				(_UpperCAmelCase):
			return "".join(REVERSE_DICT[char] for char in message.split())






def 				lowerCamelCase__				():
			SCREAMING_SNAKE_CASE						= 'Morse code here!'
			print(_UpperCAmelCase)
			SCREAMING_SNAKE_CASE						= encrypt(_UpperCAmelCase)
			print(_UpperCAmelCase)
			SCREAMING_SNAKE_CASE						= decrypt(_UpperCAmelCase)
			print(_UpperCAmelCase)


if __name__ == "__main__":
				main()




