from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase__     						=			{
    'configuration_bridgetower': [
        'BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BridgeTowerConfig',
        'BridgeTowerTextConfig',
        'BridgeTowerVisionConfig',
    ],
    'processing_bridgetower': ['BridgeTowerProcessor'],
}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			['BridgeTowerImageProcessor']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			[
        'BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST',
        'BridgeTowerForContrastiveLearning',
        'BridgeTowerForImageAndTextRetrieval',
        'BridgeTowerForMaskedLM',
        'BridgeTowerModel',
        'BridgeTowerPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_bridgetower import (
        BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BridgeTowerConfig,
        BridgeTowerTextConfig,
        BridgeTowerVisionConfig,
    )
    from .processing_bridgetower import BridgeTowerProcessor

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .image_processing_bridgetower import BridgeTowerImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_bridgetower import (
            BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
            BridgeTowerForContrastiveLearning,
            BridgeTowerForImageAndTextRetrieval,
            BridgeTowerForMaskedLM,
            BridgeTowerModel,
            BridgeTowerPreTrainedModel,
        )


else:
    import sys

    lowerCAmelCase__     						=			_LazyModule(__name__, globals()['__file__'], _import_structure)

import argparse
from collections import defaultdict

import yaml


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






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

       lowerCAmelCase__					     = []
       for duplicate_key in duplicates:
              lowerCAmelCase__					     = list({doc['title'] for doc in model_doc if doc['local'] == duplicate_key}     )
              if len(lowerCAmelCase__     ) > 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(lowerCAmelCase__     ,  key=lambda lowerCAmelCase__     : s["title"].lower()     )






def 				__lowerCamelCase		(						lowerCAmelCase__=False     ):
       with open(lowerCAmelCase__     ,  encoding='utf-8'     ) as f:
              lowerCAmelCase__					     = yaml.safe_load(f.read()     )

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

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

       lowerCAmelCase__					     = api_doc[model_idx]['sections']

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

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

       if diff:
              if overwrite:
                     lowerCAmelCase__					     = model_doc
                     lowerCAmelCase__					     = api_doc
                     with open(lowerCAmelCase__     ,  'w'     ,  encoding='utf-8'     ) as f:
                            f.write(yaml.dump(lowerCAmelCase__     ,  allow_unicode=lowerCAmelCase__     )     )
              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)
