





from manim import *





class  lowerCAmelCase							(       _a ):







  def   UpperCAmelCase					(      self  :Dict ):






     '''simple docstring'''





     lowercase__			       =  Rectangle(height=0.5   ,							width=0.5 )
     lowercase__			       =  Rectangle(height=0.46   ,							width=0.46 ).set_stroke(width=0 )

     lowercase__			       =  [mem.copy() for i in range(6 )]
     lowercase__			       =  [mem.copy() for i in range(6 )]
     lowercase__			       =  VGroup(*_a ).arrange(_a   ,							buff=0 )
     lowercase__			       =  VGroup(*_a ).arrange(_a   ,							buff=0 )
     lowercase__			       =  VGroup(_a   ,							_a ).arrange(_a   ,							buff=0 )
     lowercase__			       =  Text("CPU"   ,							font_size=24 )
     lowercase__			       =  Group(_a   ,							_a ).arrange(_a   ,							buff=0.5   ,							aligned_edge=_a )
     cpu.move_to([-2.5, -0.5, 0] )
     self.add(_a )

     lowercase__			       =  [mem.copy() for i in range(4 )]
     lowercase__			       =  VGroup(*_a ).arrange(_a   ,							buff=0 )
     lowercase__			       =  Text("GPU"   ,							font_size=24 )
     lowercase__			       =  Group(_a   ,							_a ).arrange(_a   ,							buff=0.5   ,							aligned_edge=_a )
     gpu.move_to([-1, -1, 0] )
     self.add(_a )

     lowercase__			       =  [mem.copy() for i in range(6 )]
     lowercase__			       =  VGroup(*_a ).arrange(_a   ,							buff=0 )

     lowercase__			       =  Text("Model"   ,							font_size=24 )
     lowercase__			       =  Group(_a   ,							_a ).arrange(_a   ,							buff=0.5   ,							aligned_edge=_a )
     model.move_to([3, -1.0, 0] )
     self.add(_a )

     lowercase__			       =  []
     for i, rect in enumerate(_a ):
        rect.set_stroke(_a )
        # target = fill.copy().set_fill(YELLOW, opacity=0.7)
        # target.move_to(rect)
        # self.add(target)

        lowercase__			       =  Rectangle(height=0.46 / 4   ,							width=0.46 / 3 ).set_stroke(width=0.0 ).set_fill(_a   ,							opacity=0.7 )

        if i == 0:
           cpu_target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT )   ,							buff=0.02   ,							direction=_a )
           cpu_target.set_x(cpu_target.get_x() + 0.1 )
        elif i == 3:
           cpu_target.next_to(cpu_targs[0]   ,							direction=_a   ,							buff=0.0 )
        else:
           cpu_target.next_to(cpu_targs[i - 1]   ,							direction=_a   ,							buff=0.0 )
        self.add(_a )
        cpu_targs.append(_a )

     lowercase__			       =  [mem.copy() for i in range(6 )]
     lowercase__			       =  VGroup(*_a ).arrange(_a   ,							buff=0 )

     lowercase__			       =  Text("Loaded Checkpoint"   ,							font_size=24 )
     lowercase__			       =  Group(_a   ,							_a ).arrange(_a   ,							aligned_edge=_a   ,							buff=0.4 )
     checkpoint.move_to([3, 0.5, 0] )

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

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

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

     self.add(_a   ,							_a )

     lowercase__			       =  MarkupText(
         f'''<span fgcolor=\'{BLUE}\'>●</span> Checkpoint'''   ,							font_size=18   ,							)

     blue_text.next_to(_a   ,							DOWN * 2.4   ,							aligned_edge=key_text.get_left() )

     lowercase__			       =  MarkupText(
         f'''Next, a <i><span fgcolor=\"{BLUE}\">second</span></i> model is loaded into memory,\nwith the weights of a <span fgcolor=\"{BLUE}\">single shard</span>.'''   ,							font_size=24   ,							)
     step_a.move_to([2, 2, 0] )
     self.play(Write(_a )   ,							Write(_a ) )

     self.play(Write(_a   ,							run_time=1 )   ,							Create(_a   ,							run_time=1 ) )

     lowercase__			       =  []
     lowercase__			       =  []
     for i, rect in enumerate(_a ):
        lowercase__			       =  fill.copy().set_fill(_a   ,							opacity=0.7 )
        target.move_to(_a )
        first_animations.append(GrowFromCenter(_a   ,							run_time=1 ) )

        lowercase__			       =  target.copy()
        cpu_target.generate_target()
        if i < 5:
           cpu_target.target.move_to(cpu_left_col_base[i + 1] )
        else:
           cpu_target.target.move_to(cpu_right_col_base[i - 5] )
        second_animations.append(MoveToTarget(_a   ,							run_time=1.5 ) )

     self.play(*_a )
     self.play(*_a )
     self.wait()













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

import yaml





class  lowerCAmelCase							(       yaml.SafeLoader ):







  def   UpperCAmelCase					(      self  :Optional[Any]   ,							_lowercase  :Any ):






     '''simple docstring'''





     lowercase__			       =  [self.constructed_objects[key_node] for key_node, _ in node.value]
     lowercase__			       =  [tuple(_lowercase ) if isinstance(_lowercase   ,							_lowercase ) else key for key in keys]
     lowercase__			       =  Counter(_lowercase )
     lowercase__			       =  [key for key in counter if counter[key] > 1]
     if duplicate_keys:
        raise TypeError(f'''Got duplicate yaml keys: {duplicate_keys}''' )







  def   UpperCAmelCase					(      self  :Any   ,							_lowercase  :str   ,							_lowercase  :Dict=False ):






     '''simple docstring'''





     lowercase__			       =  super().construct_mapping(_lowercase   ,							deep=_lowercase )
     self._check_no_duplicates_on_constructed_node(_lowercase )
     return mapping


def _A       (   __magic_name__	):
   lowercase__			       =  list(readme_content.splitlines()	)
   if full_content and full_content[0] == "---" and "---" in full_content[1:]:
      lowercase__			       =  full_content[1:].index("---"	) + 1
      lowercase__			       =  "\n".join(full_content[1:sep_idx]	)
      return yamlblock, "\n".join(full_content[sep_idx + 1 :]	)

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





class  lowerCAmelCase							(       lowercase_ ):
  # class attributes
  __lowerCamelCase		=      {'train_eval_index'}  # train-eval-index in the YAML metadata







  @classmethod
  def   UpperCAmelCase					(      cls  :Dict   ,							_lowercase  :Path ):






     '''simple docstring'''





     with open(_lowercase   ,							encoding="utf-8" ) as readme_file:
        lowercase__       ,							lowercase__			       =  _split_yaml_from_readme(readme_file.read() )
     if yaml_string is not None:
        return cls.from_yaml_string(_lowercase )
     else:
        return cls()







  def   UpperCAmelCase					(      self  :Any   ,							_lowercase  :Path ):






     '''simple docstring'''





     if path.exists():
        with open(_lowercase   ,							encoding="utf-8" ) as readme_file:
           lowercase__			       =  readme_file.read()
     else:
        lowercase__			       =  None
     lowercase__			       =  self._to_readme(_lowercase )
     with open(_lowercase   ,							"w"   ,							encoding="utf-8" ) as readme_file:
        readme_file.write(_lowercase )







  def   UpperCAmelCase					(      self  :List[str]   ,							_lowercase  :Optional[str] = None ):






     '''simple docstring'''





     if readme_content is not None:
        lowercase__       ,							lowercase__			       =  _split_yaml_from_readme(_lowercase )
        lowercase__			       =  "---\n" + self.to_yaml_string() + "---\n" + content
     else:
        lowercase__			       =  "---\n" + self.to_yaml_string() + "---\n"
     return full_content







  @classmethod
  def   UpperCAmelCase					(      cls  :Any   ,							_lowercase  :str ):






     '''simple docstring'''





     lowercase__			       =  yaml.load(_lowercase   ,							Loader=_NoDuplicateSafeLoader ) or {}

     # Convert the YAML keys to DatasetMetadata fields
     lowercase__			       =  {
         (key.replace("-"   ,							"_" ) if key.replace("-"   ,							"_" ) in cls._FIELDS_WITH_DASHES else key): value
         for key, value in metadata_dict.items()
     }
     return cls(**_lowercase )







  def   UpperCAmelCase					(      self  :Union[str, Any] ):






     '''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=_lowercase   ,							allow_unicode=_lowercase   ,							encoding="utf-8"   ,							).decode("utf-8" )
_snake_case           =			{
    """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

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

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






