



'''simple docstring'''


# 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 	UpperCAmelCase	(		__a):


 '''simple docstring'''




 __magic_name__					: int  =      "facebook/bart-large-mnli"
 __magic_name__					: Optional[Any]  =      (
     "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."
 )
 __magic_name__					: Dict  =      "text_classifier"
 __magic_name__					: str  =      AutoTokenizer
 __magic_name__					: List[str]  =      AutoModelForSequenceClassification

 __magic_name__					: str  =      ["text", ["text"]]
 __magic_name__					: List[Any]  =      ["text"]




 def       lowercase_  (   self) ->      int:



      """simple docstring"""







      super().setup()
      a_       		=self.model.config
      a_       		=-1
      for idx, label in config.idalabel.items():
           if label.lower().startswith("entail"):
                a_       		=int(lowerCAmelCase_)
      if self.entailment_id == -1:
           raise ValueError("Could not determine the entailment ID from the model config, please pass it at init.")




 def       lowercase_  (   self							,  lowerCAmelCase_							,  lowerCAmelCase_) ->      Any:



      """simple docstring"""







      a_       		=labels
      return self.pre_processor(
          [text] * len(lowerCAmelCase_)							,  [f"""This example is {label}""" for label in labels]							,  return_tensors="pt"							,  padding="max_length"							,  )




 def       lowercase_  (   self							,  lowerCAmelCase_) ->      Dict:



      """simple docstring"""







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







'''simple docstring'''


from __future__ import annotations

lowercase							       =			[]






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     for i in range(len(lowercase__       )       ):
          if board[row][i] == 1:
               return False
     for i in range(len(lowercase__       )       ):
          if board[i][column] == 1:
               return False
     for i, j in zip(range(lowercase__       ,	-1       ,	-1       )       ,	range(lowercase__       ,	-1       ,	-1       )       ):
          if board[i][j] == 1:
               return False
     for i, j in zip(range(lowercase__       ,	-1       ,	-1       )       ,	range(lowercase__       ,	len(lowercase__       )       )       ):
          if board[i][j] == 1:
               return False
     return True






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     if row >= len(lowercase__       ):
          solution.append(lowercase__       )
          printboard(lowercase__       )
          print()
          return True
     for i in range(len(lowercase__       )       ):
          if is_safe(lowercase__       ,	lowercase__       ,	lowercase__       ):
               a_       		=1
               solve(lowercase__       ,	row + 1       )
               a_       		=0
     return False






def  UpperCAmelCase_       (		lowercase__       ):


     '''simple docstring'''







     for i in range(len(lowercase__       )       ):
          for j in range(len(lowercase__       )       ):
               if board[i][j] == 1:
                    print("Q"       ,	end=" "       )
               else:
                    print("."       ,	end=" "       )
          print()


# n=int(input("The no. of queens"))
lowercase							       =			8
lowercase							       =			[[0 for i in range(n)] for j in range(n)]
solve(board, 0)

print('''The total no. of solutions are :''', len(solution))


