
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_						     =					{
    "facebook/levit-128S": "https://huggingface.co/facebook/levit-128S/resolve/main/config.json",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}




class      __A(    _UpperCAmelCase			):

  """simple docstring"""
  SCREAMING_SNAKE_CASE__         =      """levit"""







  def __init__(self	,      SCREAMING_SNAKE_CASE_=2_24	,      SCREAMING_SNAKE_CASE_=3	,      SCREAMING_SNAKE_CASE_=3	,      SCREAMING_SNAKE_CASE_=2	,      SCREAMING_SNAKE_CASE_=1	,      SCREAMING_SNAKE_CASE_=16	,      SCREAMING_SNAKE_CASE_=[1_28, 2_56, 3_84]	,      SCREAMING_SNAKE_CASE_=[4, 8, 12]	,      SCREAMING_SNAKE_CASE_=[4, 4, 4]	,      SCREAMING_SNAKE_CASE_=[16, 16, 16]	,      SCREAMING_SNAKE_CASE_=0	,      SCREAMING_SNAKE_CASE_=[2, 2, 2]	,      SCREAMING_SNAKE_CASE_=[2, 2, 2]	,      SCREAMING_SNAKE_CASE_=0.02	,      **SCREAMING_SNAKE_CASE_	,      ):
       super().__init__(**lowercase_						)
       UpperCamelCase__				=    image_size
       UpperCamelCase__				=    num_channels
       UpperCamelCase__				=    kernel_size
       UpperCamelCase__				=    stride
       UpperCamelCase__				=    padding
       UpperCamelCase__				=    hidden_sizes
       UpperCamelCase__				=    num_attention_heads
       UpperCamelCase__				=    depths
       UpperCamelCase__				=    key_dim
       UpperCamelCase__				=    drop_path_rate
       UpperCamelCase__				=    patch_size
       UpperCamelCase__				=    attention_ratio
       UpperCamelCase__				=    mlp_ratio
       UpperCamelCase__				=    initializer_range
       UpperCamelCase__				=    [
           ["""Subsample""", key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
           ["""Subsample""", key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
       ]






class      __A(    _UpperCAmelCase			):

  """simple docstring"""
  SCREAMING_SNAKE_CASE__         =      version.parse("""1.11"""			)







  @property
  def 	UpperCAmelCase_ (self						):
       return OrderedDict(
           [
               ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
           ]						)







  @property
  def 	UpperCAmelCase_ (self						):
       return 1E-4







import importlib
import inspect
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
lowerCamelCase_						     =					'''src/transformers'''


# This is to make sure the transformers module imported is the one in the repo.
lowerCamelCase_						     =					importlib.util.spec_from_file_location(
    '''transformers''',
    os.path.join(PATH_TO_TRANSFORMERS, '''__init__.py'''),
    submodule_search_locations=[PATH_TO_TRANSFORMERS],
)
lowerCamelCase_						     =					spec.loader.load_module()

lowerCamelCase_						     =					transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
lowerCamelCase_						     =					re.compile('''\[(.+?)\]\((https://huggingface\.co/.+?)\)''')


lowerCamelCase_						     =					{
    '''CLIPConfigMixin''',
    '''DecisionTransformerConfigMixin''',
    '''EncoderDecoderConfigMixin''',
    '''RagConfigMixin''',
    '''SpeechEncoderDecoderConfigMixin''',
    '''VisionEncoderDecoderConfigMixin''',
    '''VisionTextDualEncoderConfigMixin''',
}






def 						__magic_name__			(   ):



     '''simple docstring'''




     UpperCamelCase__				=    []

     for config_class in list(CONFIG_MAPPING.values()						):
          UpperCamelCase__				=    False

          # source code of `config_class`
          UpperCamelCase__				=    inspect.getsource(__a						)
          UpperCamelCase__				=    _re_checkpoint.findall(__a						)

          for checkpoint in checkpoints:
               # Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
               # For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
               UpperCamelCase__		,	UpperCamelCase__				=    checkpoint

               # verify the checkpoint name corresponds to the checkpoint link
               UpperCamelCase__				=    f"https://huggingface.co/{ckpt_name}"
               if ckpt_link == ckpt_link_from_name:
                    UpperCamelCase__				=    True
                    break

          UpperCamelCase__				=    config_class.__name__
          if not checkpoint_found and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
               configs_without_checkpoint.append(__a						)

     if len(__a						) > 0:
          UpperCamelCase__				=    """\n""".join(sorted(__a						)						)
          raise ValueError(f"The following configurations don't contain any valid checkpoint:\n{message}"						)


if __name__ == "__main__":
    check_config_docstrings_have_checkpoints()





