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



    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					Dict:
     SCREAMING_SNAKE_CASE__:   Tuple=      outputs.logits
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      torch.argmax(logits[:, 2]   ).item()
     return self._labels[label_id]


import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible






class 		_lowerCamelCase		(   unittest.TestCase    ):
    def 						UpperCamelCase_				(  self   )       ->					str:
     SCREAMING_SNAKE_CASE__:   List[Any]=      [
         '''safety_checker/pytorch_model.bin''',
         '''safety_checker/model.safetensors''',
         '''vae/diffusion_pytorch_model.bin''',
         '''vae/diffusion_pytorch_model.safetensors''',
         '''text_encoder/pytorch_model.bin''',
         '''text_encoder/model.safetensors''',
         '''unet/diffusion_pytorch_model.bin''',
         '''unet/diffusion_pytorch_model.safetensors''',
     ]
     self.assertTrue(is_safetensors_compatible(lowerCAmelCase   )   )
    def 						UpperCamelCase_				(  self   )       ->					int:
     SCREAMING_SNAKE_CASE__:   List[str]=      [
         '''unet/diffusion_pytorch_model.bin''',
         '''unet/diffusion_pytorch_model.safetensors''',
     ]
     self.assertTrue(is_safetensors_compatible(lowerCAmelCase   )   )
    def 						UpperCamelCase_				(  self   )       ->					Tuple:
     SCREAMING_SNAKE_CASE__:   Optional[int]=      [
         '''safety_checker/pytorch_model.bin''',
         '''safety_checker/model.safetensors''',
         '''vae/diffusion_pytorch_model.bin''',
         '''vae/diffusion_pytorch_model.safetensors''',
         '''text_encoder/pytorch_model.bin''',
         '''text_encoder/model.safetensors''',
         '''unet/diffusion_pytorch_model.bin''',
         # Removed: 'unet/diffusion_pytorch_model.safetensors',
     ]
     self.assertFalse(is_safetensors_compatible(lowerCAmelCase   )   )
    def 						UpperCamelCase_				(  self   )       ->					Dict:
     SCREAMING_SNAKE_CASE__:   str=      [
         '''text_encoder/pytorch_model.bin''',
         '''text_encoder/model.safetensors''',
     ]
     self.assertTrue(is_safetensors_compatible(lowerCAmelCase   )   )
    def 						UpperCamelCase_				(  self   )       ->					str:
     SCREAMING_SNAKE_CASE__:   List[str]=      [
         '''safety_checker/pytorch_model.bin''',
         '''safety_checker/model.safetensors''',
         '''vae/diffusion_pytorch_model.bin''',
         '''vae/diffusion_pytorch_model.safetensors''',
         '''text_encoder/pytorch_model.bin''',
         # Removed: 'text_encoder/model.safetensors',
         '''unet/diffusion_pytorch_model.bin''',
         '''unet/diffusion_pytorch_model.safetensors''',
     ]
     self.assertFalse(is_safetensors_compatible(lowerCAmelCase   )   )
    def 						UpperCamelCase_				(  self   )       ->					List[str]:
     SCREAMING_SNAKE_CASE__:   Optional[int]=      [
         '''safety_checker/pytorch_model.fp16.bin''',
         '''safety_checker/model.fp16.safetensors''',
         '''vae/diffusion_pytorch_model.fp16.bin''',
         '''vae/diffusion_pytorch_model.fp16.safetensors''',
         '''text_encoder/pytorch_model.fp16.bin''',
         '''text_encoder/model.fp16.safetensors''',
         '''unet/diffusion_pytorch_model.fp16.bin''',
         '''unet/diffusion_pytorch_model.fp16.safetensors''',
     ]
     SCREAMING_SNAKE_CASE__:   Any=      '''fp16'''
     self.assertTrue(is_safetensors_compatible(lowerCAmelCase , variant=lowerCAmelCase   )   )
    def 						UpperCamelCase_				(  self   )       ->					Any:
     SCREAMING_SNAKE_CASE__:   List[str]=      [
         '''unet/diffusion_pytorch_model.fp16.bin''',
         '''unet/diffusion_pytorch_model.fp16.safetensors''',
     ]
     SCREAMING_SNAKE_CASE__:   Dict=      '''fp16'''
     self.assertTrue(is_safetensors_compatible(lowerCAmelCase , variant=lowerCAmelCase   )   )
    def 						UpperCamelCase_				(  self   )       ->					Dict:
     # pass variant but use the non-variant filenames
     SCREAMING_SNAKE_CASE__:   List[str]=      [
         '''unet/diffusion_pytorch_model.bin''',
         '''unet/diffusion_pytorch_model.safetensors''',
     ]
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      '''fp16'''
     self.assertTrue(is_safetensors_compatible(lowerCAmelCase , variant=lowerCAmelCase   )   )
    def 						UpperCamelCase_				(  self   )       ->					List[Any]:
     SCREAMING_SNAKE_CASE__:   Dict=      [
         '''safety_checker/pytorch_model.fp16.bin''',
         '''safety_checker/model.fp16.safetensors''',
         '''vae/diffusion_pytorch_model.fp16.bin''',
         '''vae/diffusion_pytorch_model.fp16.safetensors''',
         '''text_encoder/pytorch_model.fp16.bin''',
         '''text_encoder/model.fp16.safetensors''',
         '''unet/diffusion_pytorch_model.fp16.bin''',
         # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
     ]
     SCREAMING_SNAKE_CASE__:   List[Any]=      '''fp16'''
     self.assertFalse(is_safetensors_compatible(lowerCAmelCase , variant=lowerCAmelCase   )   )
    def 						UpperCamelCase_				(  self   )       ->					List[str]:
     SCREAMING_SNAKE_CASE__:   int=      [
         '''text_encoder/pytorch_model.fp16.bin''',
         '''text_encoder/model.fp16.safetensors''',
     ]
     SCREAMING_SNAKE_CASE__:   Any=      '''fp16'''
     self.assertTrue(is_safetensors_compatible(lowerCAmelCase , variant=lowerCAmelCase   )   )
    def 						UpperCamelCase_				(  self   )       ->					Optional[Any]:
     # pass variant but use the non-variant filenames
     SCREAMING_SNAKE_CASE__:   Optional[int]=      [
         '''text_encoder/pytorch_model.bin''',
         '''text_encoder/model.safetensors''',
     ]
     SCREAMING_SNAKE_CASE__:   str=      '''fp16'''
     self.assertTrue(is_safetensors_compatible(lowerCAmelCase , variant=lowerCAmelCase   )   )



    def 						UpperCamelCase_				(  self   )       ->					Union[str, Any]:
     SCREAMING_SNAKE_CASE__:   Tuple=      [
         '''safety_checker/pytorch_model.fp16.bin''',
         '''safety_checker/model.fp16.safetensors''',
         '''vae/diffusion_pytorch_model.fp16.bin''',
         '''vae/diffusion_pytorch_model.fp16.safetensors''',
         '''text_encoder/pytorch_model.fp16.bin''',
         # 'text_encoder/model.fp16.safetensors',
         '''unet/diffusion_pytorch_model.fp16.bin''',
         '''unet/diffusion_pytorch_model.fp16.safetensors''',
     ]
     SCREAMING_SNAKE_CASE__:   str=      '''fp16'''
     self.assertFalse(is_safetensors_compatible(lowerCAmelCase , variant=lowerCAmelCase   )   )

