





"""simple docstring"""


import argparse
from collections import defaultdict

import yaml


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




def        lowercase__     (       lowercase_      )       ->		Any:




      """simple docstring"""

      _UpperCamelCase   :						Any    =							defaultdict(lowercase_      )
      _UpperCamelCase   :						Union[str, Any]    =							[]
      _UpperCamelCase   :						Union[str, Any]    =							[]
      for doc in doc_list:
            if "local" in doc:
                  counts[doc["local"]] += 1

            if doc["title"].lower() == "overview":
                  overview_doc.append({"local": doc["local"], "title": doc["title"]}      )
            else:
                  new_doc_list.append(lowercase_      )

      _UpperCamelCase   :						Tuple    =							new_doc_list
      _UpperCamelCase   :						List[str]    =							[key for key, value in counts.items() if value > 1]

      _UpperCamelCase   :						List[Any]    =							[]
      for duplicate_key in duplicates:
            _UpperCamelCase   :						List[str]    =							list({doc["title"] for doc in doc_list if doc["local"] == duplicate_key}      )
            if len(lowercase_      ) > 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 doc_list if "local" not in counts or counts[doc["local"]] == 1]      )
      _UpperCamelCase   :						Union[str, Any]    =							sorted(lowercase_		,key=lambda lowercase_      : s["title"].lower()      )

      # "overview" gets special treatment and is always first
      if len(lowercase_      ) > 1:
            raise ValueError("{doc_list} has two 'overview' docs which is not allowed."      )

      overview_doc.extend(lowercase_      )

      # Sort
      return overview_doc




def        lowercase__     (       lowercase_=False      )       ->		Optional[int]:




      """simple docstring"""

      with open(lowercase_		,encoding="utf-8"      ) as f:
            _UpperCamelCase   :						Optional[Any]    =							yaml.safe_load(f.read()      )

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

      # Then to the model doc
      _UpperCamelCase   :						Dict    =							0
      while api_doc[scheduler_idx]["title"] != "Schedulers":
            scheduler_idx += 1

      _UpperCamelCase   :						Union[str, Any]    =							api_doc[scheduler_idx]["sections"]
      _UpperCamelCase   :						Tuple    =							clean_doc_toc(lowercase_      )

      _UpperCamelCase   :						Dict    =							False
      if new_scheduler_doc != scheduler_doc:
            _UpperCamelCase   :						Any    =							True
            if overwrite:
                  _UpperCamelCase   :						List[Any]    =							new_scheduler_doc

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




def        lowercase__     (       lowercase_=False      )       ->		int:




      """simple docstring"""

      with open(lowercase_		,encoding="utf-8"      ) as f:
            _UpperCamelCase   :						Any    =							yaml.safe_load(f.read()      )

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

      # Then to the model doc
      _UpperCamelCase   :						Any    =							0
      while api_doc[pipeline_idx]["title"] != "Pipelines":
            pipeline_idx += 1

      _UpperCamelCase   :						str    =							False
      _UpperCamelCase   :						int    =							api_doc[pipeline_idx]["sections"]
      _UpperCamelCase   :						Union[str, Any]    =							[]

      # sort sub pipeline docs
      for pipeline_doc in pipeline_docs:
            if "section" in pipeline_doc:
                  _UpperCamelCase   :						Optional[int]    =							pipeline_doc["section"]
                  _UpperCamelCase   :						Any    =							clean_doc_toc(lowercase_      )
                  if overwrite:
                        _UpperCamelCase   :						Union[str, Any]    =							new_sub_pipeline_doc
            new_pipeline_docs.append(lowercase_      )

      # sort overall pipeline doc
      _UpperCamelCase   :						str    =							clean_doc_toc(lowercase_      )

      if new_pipeline_docs != pipeline_docs:
            _UpperCamelCase   :						Optional[int]    =							True
            if overwrite:
                  _UpperCamelCase   :						int    =							new_pipeline_docs

      if diff:
            if overwrite:
                  _UpperCamelCase   :						int    =							api_doc
                  with open(lowercase_		,"w"		,encoding="utf-8"      ) as f:
                        f.write(yaml.dump(lowercase_		,allow_unicode=lowercase_      )      )
            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_scheduler_doc(args.fix_and_overwrite)
  check_pipeline_doc(args.fix_and_overwrite)







"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase__						= logging.get_logger(__name__)

lowerCamelCase__						= {
    "google/mobilenet_v1_1.0_224": "https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json",
    "google/mobilenet_v1_0.75_192": "https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}



class   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:int						  =       "mobilenet_v1"

  def __init__(		self :							Optional[int]       , __a :							List[str]=3       , __a :							Union[str, Any]=224       , __a :							Tuple=1.0       , __a :							List[Any]=8       , __a :							Union[str, Any]="relu6"       , __a :							Dict=True       , __a :							Tuple=0.9_99       , __a :							Dict=0.02       , __a :							Any=0.0_01       , **__a :							Any       , )		->					int:
        super().__init__(**__a						)

        if depth_multiplier <= 0:
              raise ValueError("depth_multiplier must be greater than zero."						)

        _UpperCamelCase   :						Any    =							num_channels
        _UpperCamelCase   :						Optional[Any]    =							image_size
        _UpperCamelCase   :						Optional[Any]    =							depth_multiplier
        _UpperCamelCase   :						int    =							min_depth
        _UpperCamelCase   :						List[str]    =							hidden_act
        _UpperCamelCase   :						Union[str, Any]    =							tf_padding
        _UpperCamelCase   :						int    =							classifier_dropout_prob
        _UpperCamelCase   :						Optional[int]    =							initializer_range
        _UpperCamelCase   :						Union[str, Any]    =							layer_norm_eps





class   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:List[Any]						  =       version.parse("1.11" )

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							List[str]						)		->					Mapping[str, Mapping[int, str]]:
        return OrderedDict([("pixel_values", {0: "batch"})]						)

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Optional[int]						)		->					Mapping[str, Mapping[int, str]]:
        if self.task == "image-classification":
              return OrderedDict([("logits", {0: "batch"})]						)
        else:
              return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]						)


  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Tuple						)		->					float:
        return 1e-4
