





# Copyright 2022 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
import platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available






def 	lowerCamelCase_		(							_UpperCamelCase=None					)						->		Optional[int]:






				"""simple docstring"""


				if subparsers is not None:
								snake_case_		:       Union[str, Any]           =    subparsers.add_parser('''env'''					)
				else:
								snake_case_		:       Optional[int]           =    argparse.ArgumentParser('''Accelerate env command'''					)

				parser.add_argument(
				    '''--config_file'''					,							default=_UpperCamelCase					,							help='''The config file to use for the default values in the launching script.'''					)

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






def 	lowerCamelCase_		(							_UpperCamelCase					)						->		Any:






				"""simple docstring"""


				snake_case_		:       Tuple           =    torch.__version__
				snake_case_		:       List[Any]           =    torch.cuda.is_available()
				snake_case_		:       str           =    is_xpu_available()
				snake_case_		:       List[Any]           =    is_npu_available()

				snake_case_		:       List[Any]           =    '''Not found'''
				# Get the default from the config file.
				if args.config_file is not None or os.path.isfile(_UpperCamelCase					):
								snake_case_		:       Any           =    load_config_from_file(args.config_file					).to_dict()

				snake_case_		:       Dict           =    {
				    '''`Accelerate` version''': version,
				    '''Platform''': platform.platform(),
				    '''Python version''': platform.python_version(),
				    '''Numpy version''': np.__version__,
				    '''PyTorch version (GPU?)''': f'''{pt_version} ({pt_cuda_available})''',
				    '''PyTorch XPU available''': str(_UpperCamelCase					),
				    '''PyTorch NPU available''': str(_UpperCamelCase					),
				    '''System RAM''': f'''{psutil.virtual_memory().total / 1_024 ** 3:.2f} GB''',
				}
				if pt_cuda_available:
								snake_case_		:       List[str]           =    torch.cuda.get_device_name()

				print('''\nCopy-and-paste the text below in your GitHub issue\n'''					)
				print('''\n'''.join([f'''- {prop}: {val}''' for prop, val in info.items()]					)					)

				print('''- `Accelerate` default config:''' if args.config_file is None else '''- `Accelerate` config passed:'''					)
				snake_case_		:       Union[str, Any]           =    (
				    '''\n'''.join([f'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]					)
				    if isinstance(_UpperCamelCase					,							_UpperCamelCase					)
				    else f'''\t{accelerate_config}'''
				)
				print(_UpperCamelCase					)

				snake_case_		:       Dict           =    accelerate_config

				return info






def 	lowerCamelCase_		(							)						->		int:






				"""simple docstring"""


				snake_case_		:       List[Any]           =    env_command_parser()
				snake_case_		:       int           =    parser.parse_args()
				env_command(_UpperCamelCase					)
				return 0


if __name__ == "__main__":
	raise SystemExit(main())


'''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 re

from ..utils import cached_file


# docstyle-ignore
lowercase     :							Tuple       						=     '\nHuman: <<task>>\n\nAssistant: '


lowercase     :							Union[str, Any]       						=     'huggingface-tools/default-prompts'
lowercase     :							int       						=     {'chat': 'chat_prompt_template.txt', 'run': 'run_prompt_template.txt'}







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__						,							snake_case__="run"		):




    '''simple docstring'''



    if prompt_or_repo_id is None:
        A			:  List[Any]   =		DEFAULT_PROMPTS_REPO

    # prompt is considered a repo ID when it does not contain any kind of space
    if re.search('''\\s'''						,							snake_case__		) is not None:
        return prompt_or_repo_id

    A			:  int   =		cached_file(
        snake_case__						,							PROMPT_FILES[mode]						,							repo_type='''dataset'''						,							user_agent={'''agent''': agent_name}		)
    with open(snake_case__						,							'''r'''						,							encoding='''utf-8'''		) as f:
        return f.read()




