




"""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       SCREAMING_SNAKE_CASE__					(					_a					):
						_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   __lowercase (							self				:			int					):
										super().setup()
										lowerCAmelCase  =				self.model.config
										lowerCAmelCase  =				-1
										for idx, label in config.idalabel.items():
														if label.lower().startswith("""entail"""					):
																		lowerCAmelCase  =				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				:			Optional[Any]						,						lowerCAmelCase				:			List[Any]						,						lowerCAmelCase				:			List[str]					):
										lowerCAmelCase  =				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				:			Any						,						lowerCAmelCase				:			Optional[int]					):
										lowerCAmelCase  =				outputs.logits
										lowerCAmelCase  =				torch.argmax(logits[:, 2]					).item()
										return self._labels[label_id]











"""simple docstring"""







# Copyright 2021 The HuggingFace 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 argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


a      =							'Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine'





def 							lowercase					()     ->  Optional[Any]:


				'''simple docstring'''






				lowerCAmelCase  =				_ask_options(
				    """In which compute environment are you running?"""      ,       ["""This machine""", """AWS (Amazon SageMaker)"""]      ,       _convert_compute_environment      ,       )
				if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
								lowerCAmelCase  =				get_sagemaker_input()
				else:
								lowerCAmelCase  =				get_cluster_input()
				return config





def 							lowercase					(snake_case__   : List[str]=None )     ->  int:


				'''simple docstring'''






				if subparsers is not None:
								lowerCAmelCase  =				subparsers.add_parser("""config"""      ,       description=snake_case__ )
				else:
								lowerCAmelCase  =				argparse.ArgumentParser("""Accelerate config command"""      ,       description=snake_case__ )

				parser.add_argument(
				    """--config_file"""      ,       default=snake_case__      ,       help=(
				        """The path to use to store the config file. Will default to a file named default_config.yaml in the cache """
				        """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
				        """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
				        """with 'huggingface'."""
				    )      ,       )

				if subparsers is not None:
								parser.set_defaults(func=snake_case__ )
				return parser





def 							lowercase					(snake_case__   : str )     ->  Optional[Any]:


				'''simple docstring'''






				lowerCAmelCase  =				get_user_input()
				if args.config_file is not None:
								lowerCAmelCase  =				args.config_file
				else:
								if not os.path.isdir(snake_case__ ):
												os.makedirs(snake_case__ )
								lowerCAmelCase  =				default_yaml_config_file

				if config_file.endswith(""".json""" ):
								config.to_json_file(snake_case__ )
				else:
								config.to_yaml_file(snake_case__ )
				print(f'''accelerate configuration saved at {config_file}''' )





def 							lowercase					()     ->  Optional[int]:


				'''simple docstring'''






				lowerCAmelCase  =				config_command_parser()
				lowerCAmelCase  =				parser.parse_args()
				config_command(snake_case__ )


if __name__ == "__main__":
		main()





