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
from ..auto import CONFIG_MAPPING


UpperCamelCase__    							= logging.get_logger(__name__)

UpperCamelCase__    							= {
    'microsoft/table-transformer-detection': (
        'https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json'
    ),
}





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			List[Any]              =      'table-transformer'
   __UpperCAmelCase			:			Optional[Any]              =      ['past_key_values']
   __UpperCAmelCase			:			List[Any]              =      {
       'hidden_size': 'd_model',
       'num_attention_heads': 'encoder_attention_heads',
   }


   def __init__(self					:						Any	,  __UpperCAmelCase					:						str=True	,  __UpperCAmelCase					:						Any=None	,  __UpperCAmelCase					:						Optional[int]=3	,  __UpperCAmelCase					:						int=1_0_0	,  __UpperCAmelCase					:						List[Any]=6	,  __UpperCAmelCase					:						List[str]=2_0_4_8	,  __UpperCAmelCase					:						Union[str, Any]=8	,  __UpperCAmelCase					:						Optional[Any]=6	,  __UpperCAmelCase					:						List[Any]=2_0_4_8	,  __UpperCAmelCase					:						Union[str, Any]=8	,  __UpperCAmelCase					:						List[str]=0.0	,  __UpperCAmelCase					:						Union[str, Any]=0.0	,  __UpperCAmelCase					:						Any=True	,  __UpperCAmelCase					:						List[str]="relu"	,  __UpperCAmelCase					:						Optional[Any]=2_5_6	,  __UpperCAmelCase					:						List[Any]=0.1	,  __UpperCAmelCase					:						int=0.0	,  __UpperCAmelCase					:						Dict=0.0	,  __UpperCAmelCase					:						List[Any]=0.02	,  __UpperCAmelCase					:						Union[str, Any]=1.0	,  __UpperCAmelCase					:						Any=False	,  __UpperCAmelCase					:						Optional[int]="sine"	,  __UpperCAmelCase					:						int="resnet50"	,  __UpperCAmelCase					:						Any=True	,  __UpperCAmelCase					:						Optional[Any]=False	,  __UpperCAmelCase					:						List[Any]=1	,  __UpperCAmelCase					:						Optional[int]=5	,  __UpperCAmelCase					:						Optional[int]=2	,  __UpperCAmelCase					:						List[str]=1	,  __UpperCAmelCase					:						Optional[int]=1	,  __UpperCAmelCase					:						List[Any]=5	,  __UpperCAmelCase					:						Union[str, Any]=2	,  __UpperCAmelCase					:						Union[str, Any]=0.1	,  **__UpperCAmelCase					:						str	,  )						->    Any:
         """simple docstring"""



         if backbone_config is not None and use_timm_backbone:
               raise ValueError("You can't specify both `backbone_config` and `use_timm_backbone`."		)

         if not use_timm_backbone:
               if backbone_config is None:
                     logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."		)
                     UpperCAmelCase__								=  CONFIG_MAPPING["resnet"](out_features=["stage4"]		)
               elif isinstance(__UpperCAmelCase	,  __UpperCAmelCase		):
                     UpperCAmelCase__								=  backbone_config.get("model_type"		)
                     UpperCAmelCase__								=  CONFIG_MAPPING[backbone_model_type]
                     UpperCAmelCase__								=  config_class.from_dict(__UpperCAmelCase		)
               # set timm attributes to None
               UpperCAmelCase__		,				UpperCAmelCase__		,				UpperCAmelCase__								=  None, None, None

         UpperCAmelCase__								=  use_timm_backbone
         UpperCAmelCase__								=  backbone_config
         UpperCAmelCase__								=  num_channels
         UpperCAmelCase__								=  num_queries
         UpperCAmelCase__								=  d_model
         UpperCAmelCase__								=  encoder_ffn_dim
         UpperCAmelCase__								=  encoder_layers
         UpperCAmelCase__								=  encoder_attention_heads
         UpperCAmelCase__								=  decoder_ffn_dim
         UpperCAmelCase__								=  decoder_layers
         UpperCAmelCase__								=  decoder_attention_heads
         UpperCAmelCase__								=  dropout
         UpperCAmelCase__								=  attention_dropout
         UpperCAmelCase__								=  activation_dropout
         UpperCAmelCase__								=  activation_function
         UpperCAmelCase__								=  init_std
         UpperCAmelCase__								=  init_xavier_std
         UpperCAmelCase__								=  encoder_layerdrop
         UpperCAmelCase__								=  decoder_layerdrop
         UpperCAmelCase__								=  encoder_layers
         UpperCAmelCase__								=  auxiliary_loss
         UpperCAmelCase__								=  position_embedding_type
         UpperCAmelCase__								=  backbone
         UpperCAmelCase__								=  use_pretrained_backbone
         UpperCAmelCase__								=  dilation
         # Hungarian matcher
         UpperCAmelCase__								=  class_cost
         UpperCAmelCase__								=  bbox_cost
         UpperCAmelCase__								=  giou_cost
         # Loss coefficients
         UpperCAmelCase__								=  mask_loss_coefficient
         UpperCAmelCase__								=  dice_loss_coefficient
         UpperCAmelCase__								=  bbox_loss_coefficient
         UpperCAmelCase__								=  giou_loss_coefficient
         UpperCAmelCase__								=  eos_coefficient
         super().__init__(is_encoder_decoder=__UpperCAmelCase	,  **__UpperCAmelCase		)


   @property
   def       lowercase_				(self					:						List[Any]		)						->    int:
         """simple docstring"""



         return self.encoder_attention_heads





   @property
   def       lowercase_				(self					:						Dict		)						->    int:
         """simple docstring"""



         return self.d_model





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			Any              =      version.parse('1.11'					)


   @property
   def       lowercase_				(self					:						Tuple		)						->    Mapping[str, Mapping[int, str]]:
         """simple docstring"""



         return OrderedDict(
             [
                 ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
                 ("pixel_mask", {0: "batch"}),
             ]		)


   @property
   def       lowercase_				(self					:						Optional[int]		)						->    float:
         """simple docstring"""



         return 1E-5





   @property
   def       lowercase_				(self					:						Union[str, Any]		)						->    int:
         """simple docstring"""



         return 1_2




# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse

from .config import config_command_parser
from .config_args import default_config_file, load_config_from_file  # noqa: F401
from .default import default_command_parser
from .update import update_command_parser




def        lowerCAmelCase_			(					__A=None							)					->    str:







      '''simple docstring'''


      UpperCAmelCase__								=  argparse.ArgumentParser(add_help=__A,  allow_abbrev=__A							)
      # The main config parser
      UpperCAmelCase__								=  config_command_parser(__A							)
      # The subparser to add commands to
      UpperCAmelCase__								=  config_parser.add_subparsers(title="subcommands",  dest="subcommand"							)

      # Then add other parsers with the parent parser
      default_command_parser(__A,  parents=[parent_parser]							)
      update_command_parser(__A,  parents=[parent_parser]							)

      return config_parser




def        lowerCAmelCase_			(					)					->    Any:







      '''simple docstring'''


      UpperCAmelCase__								=  get_config_parser()
      UpperCAmelCase__								=  config_parser.parse_args()

      if not hasattr(__A,  "func"							):
            config_parser.print_help()
            exit(1							)

      # Run
      args.func(__A							)


if __name__ == "__main__":
      main()



