# 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 						A__							(		_a  ):
						UpperCAmelCase             =						"facebook/bart-large-mnli"
						UpperCAmelCase             =						(
						    "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."
						)
						UpperCAmelCase             =						"text_classifier"
						UpperCAmelCase             =						AutoTokenizer
						UpperCAmelCase             =						AutoModelForSequenceClassification

						UpperCAmelCase             =						["text", ["text"]]
						UpperCAmelCase             =						["text"]




						def 							__UpperCamelCase				(       self					:      Union[str, Any]  )							->     Dict:


										"""simple docstring"""





										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 							__UpperCamelCase				(       self					:      Dict				,    _a					:      Optional[Any]				,    _a					:      Dict  )							->     List[str]:


										"""simple docstring"""





										_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 							__UpperCamelCase				(       self					:      str				,    _a					:      Any  )							->     Tuple:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =outputs.logits
										_SCREAMING_SNAKE_CASE			  =torch.argmax(logits[:, 2]  ).item()
										return self._labels[label_id]



snake_case_						:			dict[tuple[int, int, int], int]													=							{}







def 						lowerCamelCase(   a__	,a__	,a__):

				# if we are absent twice, or late 3 consecutive days,
				# no further prize strings are possible
				if late == 3 or absent == 2:
								return 0

				# if we have no days left, and have not failed any other rules,
				# we have a prize string
				if days == 0:
								return 1

				# No easy solution, so now we need to do the recursive calculation

				# First, check if the combination is already in the cache, and
				# if yes, return the stored value from there since we already
				# know the number of possible prize strings from this point on
				_SCREAMING_SNAKE_CASE			  =(days, absent, late)
				if key in cache:
								return cache[key]

				# now we calculate the three possible ways that can unfold from
				# this point on, depending on our attendance today

				# 1) if we are late (but not absent), the "absent" counter stays as
				# it is, but the "late" counter increases by one
				_SCREAMING_SNAKE_CASE			  =_calculate(days - 1	,a__	,late + 1)

				# 2) if we are absent, the "absent" counter increases by 1, and the
				# "late" counter resets to 0
				_SCREAMING_SNAKE_CASE			  =_calculate(days - 1	,absent + 1	,0)

				# 3) if we are on time, this resets the "late" counter and keeps the
				# absent counter
				_SCREAMING_SNAKE_CASE			  =_calculate(days - 1	,a__	,0)

				_SCREAMING_SNAKE_CASE			  =state_late + state_absent + state_ontime

				_SCREAMING_SNAKE_CASE			  =prizestrings
				return prizestrings







def 						lowerCamelCase(   a__ = 30):
				return _calculate(a__	,absent=0	,late=0)


if __name__ == "__main__":
							print(solution())