
import argparse
from collections import defaultdict

import yaml


lowerCamelCase      ="docs/source/en/_toctree.yml"


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      UpperCamelCase__    :   List[str]					=				defaultdict(UpperCamelCase__		)
      for doc in model_doc:
            counts[doc["local"]] += 1
      UpperCamelCase__    :   List[Any]					=				[key for key, value in counts.items() if value > 1]

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


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

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

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

      UpperCamelCase__    :   Any					=				api_doc[model_idx]['''sections''']

      UpperCamelCase__    :   Union[str, Any]					=				[(idx, section) for idx, section in enumerate(UpperCamelCase__		) if '''sections''' in section]
      UpperCamelCase__    :   Union[str, Any]					=				False
      for idx, modality_doc in modalities_docs:
            UpperCamelCase__    :   Optional[Any]					=				modality_doc['''sections''']
            UpperCamelCase__    :   Optional[int]					=				clean_model_doc_toc(UpperCamelCase__		)

            if old_modality_doc != new_modality_doc:
                  UpperCamelCase__    :   Tuple					=				True
                  if overwrite:
                        UpperCamelCase__    :   Dict					=				new_modality_doc

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




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase      ={
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =["BlenderbotTokenizerFast"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
        "BlenderbotForCausalLM",
        "BlenderbotForConditionalGeneration",
        "BlenderbotModel",
        "BlenderbotPreTrainedModel",
    ]


try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "TFBlenderbotForConditionalGeneration",
        "TFBlenderbotModel",
        "TFBlenderbotPreTrainedModel",
    ]


try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase      =[
        "FlaxBlenderbotForConditionalGeneration",
        "FlaxBlenderbotModel",
        "FlaxBlenderbotPreTrainedModel",
    ]


if TYPE_CHECKING:
    from .configuration_blenderbot import (
        BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        BlenderbotConfig,
        BlenderbotOnnxConfig,
    )
    from .tokenization_blenderbot import BlenderbotTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_blenderbot import (
            BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BlenderbotForCausalLM,
            BlenderbotForConditionalGeneration,
            BlenderbotModel,
            BlenderbotPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_blenderbot import (
            TFBlenderbotForConditionalGeneration,
            TFBlenderbotModel,
            TFBlenderbotPreTrainedModel,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_blenderbot import (
            FlaxBlenderbotForConditionalGeneration,
            FlaxBlenderbotModel,
            FlaxBlenderbotPreTrainedModel,
        )

else:
    import sys

    lowerCamelCase      =_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


