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#
# 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   a			(						lowerCamelCase_=None				):






				'''simple docstring'''
				if subparsers is not None:
								lowercase__    =			subparsers.add_parser('''env'''				)
				else:
								lowercase__    =			argparse.ArgumentParser('''Accelerate env command'''				)

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

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






def   a			(						lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			torch.__version__
				lowercase__    =			torch.cuda.is_available()
				lowercase__    =			is_xpu_available()
				lowercase__    =			is_npu_available()

				lowercase__    =			'''Not found'''
				# Get the default from the config file.
				if args.config_file is not None or os.path.isfile(lowerCamelCase_				):
								lowercase__    =			load_config_from_file(args.config_file				).to_dict()

				lowercase__    =			{
				    '''`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(lowerCamelCase_				),
				    '''PyTorch NPU available''': str(lowerCamelCase_				),
				    '''System RAM''': F"""{psutil.virtual_memory().total / 1024 ** 3:.2f} GB""",
				}
				if pt_cuda_available:
								lowercase__    =			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:'''				)
				lowercase__    =			(
				    '''\n'''.join([F"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]				)
				    if isinstance(lowerCamelCase_		,   lowerCamelCase_				)
				    else F"""\t{accelerate_config}"""
				)
				print(lowerCamelCase_				)

				lowercase__    =			accelerate_config

				return info






def   a			(						):






				'''simple docstring'''
				lowercase__    =			env_command_parser()
				lowercase__    =			parser.parse_args()
				env_command(lowerCamelCase_				)
				return 0


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












def   a			(						lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			[1]

				lowercase__ ,						lowercase__ ,						lowercase__    =			0, 0, 0
				lowercase__    =			ugly_nums[ia] * 2
				lowercase__    =			ugly_nums[ia] * 3
				lowercase__    =			ugly_nums[ia] * 5

				for _ in range(1		,   lowerCamelCase_				):
								lowercase__    =			min(lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_				)
								ugly_nums.append(lowerCamelCase_				)
								if next_num == next_a:
												ia += 1
												lowercase__    =			ugly_nums[ia] * 2
								if next_num == next_a:
												ia += 1
												lowercase__    =			ugly_nums[ia] * 3
								if next_num == next_a:
												ia += 1
												lowercase__    =			ugly_nums[ia] * 5
				return ugly_nums[-1]


if __name__ == "__main__":
							from doctest import testmod

							testmod(verbose=True)
							print(F"{ugly_numbers(2_00) = }")




