



from manim import *




class 					snake_case__						(       __UpperCamelCase     ):






     """simple docstring"""


     def    lowercase_   (       self  :  Dict					)   ->List[str]:
            snake_case__							:	List[Any]   	=	Rectangle(height=0.5, width=0.5					)
            snake_case__							:	Optional[Any]   	=	Rectangle(height=0.4_6, width=0.4_6					).set_stroke(width=0					)

            snake_case__							:	Optional[int]   	=	[mem.copy() for i in range(6					)]
            snake_case__							:	Union[str, Any]   	=	[mem.copy() for i in range(6					)]
            snake_case__							:	Any   	=	VGroup(*_snake_case					).arrange(_snake_case, buff=0					)
            snake_case__							:	Any   	=	VGroup(*_snake_case					).arrange(_snake_case, buff=0					)
            snake_case__							:	int   	=	VGroup(_snake_case, _snake_case					).arrange(_snake_case, buff=0					)
            snake_case__							:	List[Any]   	=	Text('CPU', font_size=2_4					)
            snake_case__							:	Union[str, Any]   	=	Group(_snake_case, _snake_case					).arrange(_snake_case, buff=0.5, aligned_edge=_snake_case					)
            cpu.move_to([-2.5, -0.5, 0]					)
            self.add(_snake_case					)

            snake_case__							:	List[Any]   	=	[mem.copy() for i in range(1					)]
            snake_case__							:	str   	=	VGroup(*_snake_case					).arrange(_snake_case, buff=0					)
            snake_case__							:	int   	=	Text('GPU', font_size=2_4					)
            snake_case__							:	Optional[Any]   	=	Group(_snake_case, _snake_case					).arrange(_snake_case, buff=0.5, aligned_edge=_snake_case					)
            gpu.align_to(_snake_case, _snake_case					)
            gpu.set_x(gpu.get_x() - 1					)

            self.add(_snake_case					)

            snake_case__							:	Optional[int]   	=	[mem.copy() for i in range(6					)]
            snake_case__							:	Tuple   	=	VGroup(*_snake_case					).arrange(_snake_case, buff=0					)

            snake_case__							:	Dict   	=	Text('Model', font_size=2_4					)
            snake_case__							:	Dict   	=	Group(_snake_case, _snake_case					).arrange(_snake_case, buff=0.5, aligned_edge=_snake_case					)
            model.move_to([3, -1.0, 0]					)

            self.play(
                Create(_snake_case, run_time=1					), Create(_snake_case, run_time=1					), Create(_snake_case, run_time=1					), )

            snake_case__							:	Dict   	=	MarkupText(
                F'''First, an empty model skeleton is loaded\ninto <span fgcolor=\'{YELLOW}\'>memory</span> without using much RAM.''', font_size=2_4, )

            snake_case__							:	Any   	=	Square(side_length=2.2					)
            key.move_to([-5, 2, 0]					)

            snake_case__							:	str   	=	MarkupText(
                F'''<b>Key:</b>\n\n<span fgcolor=\'{YELLOW}\'>●</span> Empty Model''', font_size=1_8, )

            key_text.move_to([-5, 2.4, 0]					)

            step_a.move_to([2, 2, 0]					)
            self.play(Write(_snake_case, run_time=2.5					), Write(_snake_case					), Write(_snake_case					)					)

            self.add(_snake_case					)

            snake_case__							:	int   	=	[]
            snake_case__							:	str   	=	[]
            snake_case__							:	Dict   	=	[]
            for i, rect in enumerate(_snake_case					):
                   snake_case__							:	Union[str, Any]   	=	Rectangle(height=0.4_6, width=0.4_6					).set_stroke(width=0.0					).set_fill(_snake_case, opacity=0.7					)
                   cpu_target.move_to(_snake_case					)
                   cpu_target.generate_target()
                   snake_case__							:	Dict   	=	0.4_6 / 4
                   snake_case__							:	List[str]   	=	0.4_6 / 3

                   if i == 0:
                          cpu_target.target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT					), buff=0.0_2, direction=_snake_case					)
                          cpu_target.target.set_x(cpu_target.target.get_x() + 0.1					)
                   elif i == 3:
                          cpu_target.target.next_to(cpu_targs[0].target, direction=_snake_case, buff=0.0					)
                   else:
                          cpu_target.target.next_to(cpu_targs[i - 1].target, direction=_snake_case, buff=0.0					)
                   cpu_targs.append(_snake_case					)

                   first_animations.append(rect.animate(run_time=0.5					).set_stroke(_snake_case					)					)
                   second_animations.append(MoveToTarget(_snake_case, run_time=1.5					)					)

            self.play(*_snake_case					)
            self.play(*_snake_case					)

            self.wait()













# 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.test_utils import execute_subprocess_async


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase=None )			->     Tuple:
    if subparsers is not None:
        lowerCamelCase__    :      Any					 =		subparsers.add_parser('test' )
    else:
        lowerCamelCase__    :      int					 =		argparse.ArgumentParser('Accelerate test command' )

    parser.add_argument(
        '--config_file'						,	default=_UpperCAmelCase						,	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=_UpperCAmelCase )
    return parser


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     Union[str, Any]:
    lowerCamelCase__    :      Tuple					 =		os.path.sep.join(__file__.split(os.path.sep )[:-2] + ['test_utils', 'scripts', 'test_script.py'] )

    if args.config_file is None:
        lowerCamelCase__    :      List[str]					 =		script_name
    else:
        lowerCamelCase__    :      List[Any]					 =		F"""--config_file={args.config_file} {script_name}"""

    lowerCamelCase__    :      str					 =		['accelerate-launch'] + test_args.split()
    lowerCamelCase__    :      Dict					 =		execute_subprocess_async(_UpperCAmelCase						,	env=os.environ.copy() )
    if result.returncode == 0:
        print('Test is a success! You are ready for your distributed training!' )


def        SCREAMING_SNAKE_CASE      (       )			->     Any:
    lowerCamelCase__    :      Any					 =		test_command_parser()
    lowerCamelCase__    :      List[Any]					 =		parser.parse_args()
    test_command(_UpperCAmelCase )


if __name__ == "__main__":
    main()





