
'''simple docstring'''






from collections import Counter
from pathlib import Path
from typing import Optional, Tuple

import yaml




class     __snake_case		(   yaml.SafeLoader):
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Any									= [self.constructed_objects[key_node] for key_node, _ in node.value]
									lowerCamelCase					:			Tuple									= [tuple(A      ) if isinstance(A,    A      ) else key for key in keys]
									lowerCamelCase					:			List[Any]									= Counter(A      )
									lowerCamelCase					:			int									= [key for key in counter if counter[key] > 1]
									if duplicate_keys:
													raise TypeError(F'''Got duplicate yaml keys: {duplicate_keys}'''      )




					def     UpperCAmelCase_							(     self,    A,    A=False      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[int]									= super().construct_mapping(A,    deep=A      )
									self._check_no_duplicates_on_constructed_node(A      )
									return mapping





def    UpperCAmelCase							(  UpperCAmelCase__							:							str):
				lowerCamelCase					:			Any									= list(readme_content.splitlines())
				if full_content and full_content[0] == "---" and "---" in full_content[1:]:
								lowerCamelCase					:			Optional[Any]									= full_content[1:].index('---') + 1
								lowerCamelCase					:			str									= '\n'.join(full_content[1:sep_idx])
								return yamlblock, "\n".join(full_content[sep_idx + 1 :])

				return None, "\n".join(UpperCAmelCase__)




class     __snake_case		(   a__):
					# class attributes
					_lowerCAmelCase			     =	{'''train_eval_index'''}  # train-eval-index in the YAML metadata
					@classmethod
					def     UpperCAmelCase_							(     cls,    A      ):

									"""simple docstring"""


									with open(A,    encoding='utf-8'      ) as readme_file:
													lowerCamelCase			, lowerCamelCase					:			Tuple									= _split_yaml_from_readme(readme_file.read()      )
									if yaml_string is not None:
													return cls.from_yaml_string(A      )
									else:
													return cls()
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									if path.exists():
													with open(A,    encoding='utf-8'      ) as readme_file:
																	lowerCamelCase					:			Union[str, Any]									= readme_file.read()
									else:
													lowerCamelCase					:			Union[str, Any]									= None
									lowerCamelCase					:			List[str]									= self._to_readme(A      )
									with open(A,    'w',    encoding='utf-8'      ) as readme_file:
													readme_file.write(A      )
					def     UpperCAmelCase_							(     self,    A = None      ):

									"""simple docstring"""


									if readme_content is not None:
													lowerCamelCase			, lowerCamelCase					:			Optional[int]									= _split_yaml_from_readme(A      )
													lowerCamelCase					:			List[Any]									= '---\n' + self.to_yaml_string() + '---\n' + content
									else:
													lowerCamelCase					:			Optional[int]									= '---\n' + self.to_yaml_string() + '---\n'
									return full_content
					@classmethod
					def     UpperCAmelCase_							(     cls,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			Dict									= yaml.load(A,    Loader=_NoDuplicateSafeLoader      ) or {}

									# Convert the YAML keys to DatasetMetadata fields
									lowerCamelCase					:			Union[str, Any]									= {
									    (key.replace('-',    '_'      ) if key.replace('-',    '_'      ) in cls._FIELDS_WITH_DASHES else key): value
									    for key, value in metadata_dict.items()
									}
									return cls(**A      )




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return yaml.safe_dump(
									    {
									        (key.replace('_',    '-'      ) if key in self._FIELDS_WITH_DASHES else key): value
									        for key, value in self.items()
									    },    sort_keys=A,    allow_unicode=A,    encoding='utf-8',    ).decode('utf-8'      )





A			      =      {
    'image-classification': [],
    'translation': [],
    'image-segmentation': [],
    'fill-mask': [],
    'automatic-speech-recognition': [],
    'token-classification': [],
    'sentence-similarity': [],
    'audio-classification': [],
    'question-answering': [],
    'summarization': [],
    'zero-shot-classification': [],
    'table-to-text': [],
    'feature-extraction': [],
    'other': [],
    'multiple-choice': [],
    'text-classification': [],
    'text-to-image': [],
    'text2text-generation': [],
    'zero-shot-image-classification': [],
    'tabular-classification': [],
    'tabular-regression': [],
    'image-to-image': [],
    'tabular-to-text': [],
    'unconditional-image-generation': [],
    'text-retrieval': [],
    'text-to-speech': [],
    'object-detection': [],
    'audio-to-audio': [],
    'text-generation': [],
    'conversational': [],
    'table-question-answering': [],
    'visual-question-answering': [],
    'image-to-text': [],
    'reinforcement-learning': [],
    'voice-activity-detection': [],
    'time-series-forecasting': [],
    'document-question-answering': [],
}


if __name__ == "__main__":
					from argparse import ArgumentParser

					A			      =      ArgumentParser(usage='Validate the yaml metadata block of a README.md file.')
					ap.add_argument('readme_filepath')
					A			      =      ap.parse_args()

					A			      =      Path(args.readme_filepath)
					A			      =      DatasetMetadata.from_readme(readme_filepath)
					print(dataset_metadata)
					dataset_metadata.to_readme(readme_filepath)


'''simple docstring'''






from manim import *




class     __snake_case		(   a__):
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[int]									= Rectangle(height=0.5,    width=0.5      )
									lowerCamelCase					:			List[Any]									= Rectangle(height=0.46,    width=0.46      ).set_stroke(width=0      )

									lowerCamelCase					:			List[str]									= [mem.copy() for i in range(6      )]
									lowerCamelCase					:			List[Any]									= [mem.copy() for i in range(6      )]
									lowerCamelCase					:			str									= VGroup(*A      ).arrange(A,    buff=0      )
									lowerCamelCase					:			Any									= VGroup(*A      ).arrange(A,    buff=0      )
									lowerCamelCase					:			Dict									= VGroup(A,    A      ).arrange(A,    buff=0      )
									lowerCamelCase					:			str									= Text('CPU',    font_size=24      )
									lowerCamelCase					:			int									= Group(A,    A      ).arrange(A,    buff=0.5,    aligned_edge=A      )
									cpu.move_to([-2.5, -0.5, 0]      )
									self.add(A      )

									lowerCamelCase					:			Optional[int]									= [mem.copy() for i in range(1      )]
									lowerCamelCase					:			Union[str, Any]									= VGroup(*A      ).arrange(A,    buff=0      )
									lowerCamelCase					:			Optional[Any]									= Text('GPU',    font_size=24      )
									lowerCamelCase					:			Tuple									= Group(A,    A      ).arrange(A,    buff=0.5,    aligned_edge=A      )
									gpu.align_to(A,    A      )
									gpu.set_x(gpu.get_x() - 1      )

									self.add(A      )

									lowerCamelCase					:			Optional[int]									= [mem.copy() for i in range(6      )]
									lowerCamelCase					:			Optional[Any]									= VGroup(*A      ).arrange(A,    buff=0      )

									lowerCamelCase					:			Any									= Text('Model',    font_size=24      )
									lowerCamelCase					:			Tuple									= Group(A,    A      ).arrange(A,    buff=0.5,    aligned_edge=A      )
									model.move_to([3, -1.0, 0]      )

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

									lowerCamelCase					:			str									= MarkupText(
									    F'''First, an empty model skeleton is loaded\ninto <span fgcolor=\'{YELLOW}\'>memory</span> without using much RAM.''',    font_size=24,    )

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

									lowerCamelCase					:			Tuple									= MarkupText(
									    F'''<b>Key:</b>\n\n<span fgcolor=\'{YELLOW}\'>●</span> Empty Model''',    font_size=18,    )

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

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

									self.add(A      )

									lowerCamelCase					:			str									= []
									lowerCamelCase					:			Optional[int]									= []
									lowerCamelCase					:			Optional[Any]									= []
									for i, rect in enumerate(A      ):
													lowerCamelCase					:			List[str]									= Rectangle(height=0.46,    width=0.46      ).set_stroke(width=0.0      ).set_fill(A,    opacity=0.7      )
													cpu_target.move_to(A      )
													cpu_target.generate_target()
													lowerCamelCase					:			int									= 0.46 / 4
													lowerCamelCase					:			Optional[int]									= 0.46 / 3

													if i == 0:
																	cpu_target.target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT      ),    buff=0.02,    direction=A      )
																	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=A,    buff=0.0      )
													else:
																	cpu_target.target.next_to(cpu_targs[i - 1].target,    direction=A,    buff=0.0      )
													cpu_targs.append(A      )

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

									self.play(*A      )
									self.play(*A      )

									self.wait()
