





"""simple docstring"""






import argparse
from collections import defaultdict

import yaml


lowerCAmelCase_			=							'''docs/source/en/_toctree.yml'''

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE							)		->       Any:






       """simple docstring"""




       _UpperCAmelCase     =     defaultdict(SCREAMING_SNAKE_CASE							)
       for doc in model_doc:
              counts[doc["local"]] += 1
       _UpperCAmelCase     =     [key for key, value in counts.items() if value > 1]

       _UpperCAmelCase     =     []
       for duplicate_key in duplicates:
              _UpperCAmelCase     =     list({doc['title'] for doc in model_doc if doc['local'] == duplicate_key}							)
              if len(SCREAMING_SNAKE_CASE							) > 1:
                     raise ValueError(
                         F"""{duplicate_key} is present several times in the documentation table of content at """
                         '`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '
                         'others.'							)
              # Only add this once
              new_doc.append({'local': duplicate_key, 'title': titles[0]}							)

       # Add none duplicate-keys
       new_doc.extend([doc for doc in model_doc if counts[doc['local']] == 1]							)

       # Sort
       return sorted(SCREAMING_SNAKE_CASE,key=lambda SCREAMING_SNAKE_CASE							: s["title"].lower()							)

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE=False							)		->       List[str]:






       """simple docstring"""




       with open(SCREAMING_SNAKE_CASE,encoding='utf-8'							) as f:
              _UpperCAmelCase     =     yaml.safe_load(f.read()							)

       # Get to the API doc
       _UpperCAmelCase     =     0
       while content[api_idx]["title"] != "API":
              api_idx += 1
       _UpperCAmelCase     =     content[api_idx]['sections']

       # Then to the model doc
       _UpperCAmelCase     =     0
       while api_doc[model_idx]["title"] != "Models":
              model_idx += 1

       _UpperCAmelCase     =     api_doc[model_idx]['sections']

       _UpperCAmelCase     =     [(idx, section) for idx, section in enumerate(SCREAMING_SNAKE_CASE							) if 'sections' in section]
       _UpperCAmelCase     =     False
       for idx, modality_doc in modalities_docs:
              _UpperCAmelCase     =     modality_doc['sections']
              _UpperCAmelCase     =     clean_model_doc_toc(SCREAMING_SNAKE_CASE							)

              if old_modality_doc != new_modality_doc:
                     _UpperCAmelCase     =     True
                     if overwrite:
                            _UpperCAmelCase     =     new_modality_doc

       if diff:
              if overwrite:
                     _UpperCAmelCase     =     model_doc
                     _UpperCAmelCase     =     api_doc
                     with open(SCREAMING_SNAKE_CASE,'w',encoding='utf-8'							) as f:
                            f.write(yaml.dump(SCREAMING_SNAKE_CASE,allow_unicode=SCREAMING_SNAKE_CASE							)							)
              else:
                     raise ValueError(
                         'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'							)


if __name__ == "__main__":
    lowerCAmelCase_			=							argparse.ArgumentParser()
    parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
    lowerCAmelCase_			=							parser.parse_args()

    check_model_doc(args.fix_and_overwrite)













"""simple docstring"""






from datetime import datetime

import matplotlib.pyplot as plt
import torch

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE							)		->       Any:






       """simple docstring"""




       for param in module.parameters():
              _UpperCAmelCase     =     False

def       __lowerCamelCase    (       )		->       Dict:






       """simple docstring"""




       _UpperCAmelCase     =     'cuda' if torch.cuda.is_available() else 'cpu'
       if torch.backends.mps.is_available() and torch.backends.mps.is_built():
              _UpperCAmelCase     =     'mps'
       if device == "mps":
              print(
                  'WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'
                  ' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'
                  ' with generations.'							)
       return device

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE							)		->       str:






       """simple docstring"""




       _UpperCAmelCase     =     plt.imshow(SCREAMING_SNAKE_CASE							)
       fig.axes.get_xaxis().set_visible(SCREAMING_SNAKE_CASE							)
       fig.axes.get_yaxis().set_visible(SCREAMING_SNAKE_CASE							)
       plt.show()


def       __lowerCamelCase    (       )		->       Dict:






       """simple docstring"""




       _UpperCAmelCase     =     datetime.now()
       _UpperCAmelCase     =     current_time.strftime('%H:%M:%S'							)
       return timestamp






