


'''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
from ..auto import CONFIG_MAPPING


lowerCAmelCase				:List[str]        =      logging.get_logger(__name__)

lowerCAmelCase				:Optional[Any]        =      {
    '''microsoft/table-transformer-detection''': (
        '''https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json'''
    ),
}
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		A_     :      List[Any]				   =    """table-transformer"""
		A_     :      Union[str, Any]				   =    ["""past_key_values"""]
		A_     :      Any				   =    {
		    """hidden_size""": """d_model""",
		    """num_attention_heads""": """encoder_attention_heads""",
		}







		def __init__( self		:						str  ,					_A		:						List[Any]=True  ,					_A		:						Optional[int]=None  ,					_A		:						int=3  ,					_A		:						Dict=100  ,					_A		:						Tuple=6  ,					_A		:						Union[str, Any]=2048  ,					_A		:						Any=8  ,					_A		:						Any=6  ,					_A		:						Union[str, Any]=2048  ,					_A		:						str=8  ,					_A		:						List[Any]=0.0  ,					_A		:						Optional[int]=0.0  ,					_A		:						int=True  ,					_A		:						str="relu"  ,					_A		:						str=256  ,					_A		:						List[Any]=0.1  ,					_A		:						int=0.0  ,					_A		:						Union[str, Any]=0.0  ,					_A		:						Dict=0.02  ,					_A		:						List[str]=1.0  ,					_A		:						Union[str, Any]=False  ,					_A		:						List[str]="sine"  ,					_A		:						List[Any]="resnet50"  ,					_A		:						int=True  ,					_A		:						str=False  ,					_A		:						Any=1  ,					_A		:						Union[str, Any]=5  ,					_A		:						Union[str, Any]=2  ,					_A		:						Optional[Any]=1  ,					_A		:						Any=1  ,					_A		:						Tuple=5  ,					_A		:						Optional[int]=2  ,					_A		:						Union[str, Any]=0.1  ,					**_A		:						Optional[int]  ,					)  ->			int:
			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.'      )
					__magic_name__	:   Tuple					     =					CONFIG_MAPPING['resnet'](out_features=['stage4']      )
				elif isinstance(_A  ,					_A      ):
					__magic_name__	:   Union[str, Any]					     =					backbone_config.get('model_type'      )
					__magic_name__	:   str					     =					CONFIG_MAPPING[backbone_model_type]
					__magic_name__	:   Optional[int]					     =					config_class.from_dict(_A      )
				# set timm attributes to None
				__magic_name__     ,    __magic_name__     ,    __magic_name__	:   str					     =					None, None, None

			__magic_name__	:   int					     =					use_timm_backbone
			__magic_name__	:   Optional[Any]					     =					backbone_config
			__magic_name__	:   int					     =					num_channels
			__magic_name__	:   int					     =					num_queries
			__magic_name__	:   Any					     =					d_model
			__magic_name__	:   List[Any]					     =					encoder_ffn_dim
			__magic_name__	:   List[Any]					     =					encoder_layers
			__magic_name__	:   str					     =					encoder_attention_heads
			__magic_name__	:   Optional[Any]					     =					decoder_ffn_dim
			__magic_name__	:   Optional[int]					     =					decoder_layers
			__magic_name__	:   List[str]					     =					decoder_attention_heads
			__magic_name__	:   Optional[int]					     =					dropout
			__magic_name__	:   Optional[int]					     =					attention_dropout
			__magic_name__	:   Optional[int]					     =					activation_dropout
			__magic_name__	:   List[str]					     =					activation_function
			__magic_name__	:   Any					     =					init_std
			__magic_name__	:   Union[str, Any]					     =					init_xavier_std
			__magic_name__	:   Union[str, Any]					     =					encoder_layerdrop
			__magic_name__	:   List[str]					     =					decoder_layerdrop
			__magic_name__	:   List[Any]					     =					encoder_layers
			__magic_name__	:   Tuple					     =					auxiliary_loss
			__magic_name__	:   int					     =					position_embedding_type
			__magic_name__	:   Union[str, Any]					     =					backbone
			__magic_name__	:   Dict					     =					use_pretrained_backbone
			__magic_name__	:   Optional[int]					     =					dilation
			# Hungarian matcher
			__magic_name__	:   Tuple					     =					class_cost
			__magic_name__	:   List[Any]					     =					bbox_cost
			__magic_name__	:   int					     =					giou_cost
			# Loss coefficients
			__magic_name__	:   Any					     =					mask_loss_coefficient
			__magic_name__	:   Any					     =					dice_loss_coefficient
			__magic_name__	:   List[Any]					     =					bbox_loss_coefficient
			__magic_name__	:   Tuple					     =					giou_loss_coefficient
			__magic_name__	:   Union[str, Any]					     =					eos_coefficient
			super().__init__(is_encoder_decoder=_A  ,					**_A      )







		@property
		def        __lowerCAmelCase		( self		:						int      )  ->			int:
			return self.encoder_attention_heads







		@property
		def        __lowerCAmelCase		( self		:						Dict      )  ->			int:
			return self.d_model







class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







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







		@property
		def        __lowerCAmelCase		( self		:						Optional[Any]      )  ->			Mapping[str, Mapping[int, str]]:
			return OrderedDict(
			    [
			        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
			        ('pixel_mask', {0: 'batch'}),
			    ]      )







		@property
		def        __lowerCAmelCase		( self		:						Any      )  ->			float:
			return 1E-5







		@property
		def        __lowerCAmelCase		( self		:						List[str]      )  ->			int:
			return 12



'''simple docstring'''

# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import doctest
import sys
import warnings
from os.path import abspath, dirname, join

import _pytest

from transformers.testing_utils import HfDoctestModule, HfDocTestParser


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCAmelCase				:Optional[int]        =      abspath(join(dirname(__file__), '''src'''))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)





def lowerCamelCase      (      lowerCAmelCase    :     Tuple		):





	"""simple docstring"""







	config.addinivalue_line(
	    'markers'		,		'is_pt_tf_cross_test: mark test to run only when PT and TF interactions are tested'		)
	config.addinivalue_line(
	    'markers'		,		'is_pt_flax_cross_test: mark test to run only when PT and FLAX interactions are tested'		)
	config.addinivalue_line('markers'		,		'is_pipeline_test: mark test to run only when pipelines are tested'		)
	config.addinivalue_line('markers'		,		'is_staging_test: mark test to run only in the staging environment'		)
	config.addinivalue_line('markers'		,		'accelerate_tests: mark test that require accelerate'		)
	config.addinivalue_line('markers'		,		'tool_tests: mark the tool tests that are run on their specific schedule'		)





def lowerCamelCase      (      lowerCAmelCase    :     Any		):





	"""simple docstring"""







	from transformers.testing_utils import pytest_addoption_shared

	pytest_addoption_shared(lowerCAmelCase		)





def lowerCamelCase      (      lowerCAmelCase    :     Dict		):





	"""simple docstring"""







	from transformers.testing_utils import pytest_terminal_summary_main

	__magic_name__	:   Tuple					     =					terminalreporter.config.getoption('--make-reports'		)
	if make_reports:
		pytest_terminal_summary_main(lowerCAmelCase		,		id=lowerCAmelCase		)





def lowerCamelCase      (      lowerCAmelCase    :     List[Any]		,		lowerCAmelCase    :     Tuple		):





	"""simple docstring"""







	if exitstatus == 5:
		__magic_name__	:   Any					     =					0


# Doctest custom flag to ignore output.
lowerCAmelCase				:List[str]        =      doctest.register_optionflag('''IGNORE_RESULT''')

lowerCAmelCase				:Union[str, Any]        =      doctest.OutputChecker
class _lowerCamelCase	(						lowercase__							):



		'''simple docstring'''







		def        __lowerCAmelCase		( self		:						List[str]  ,					_A		:						Tuple  ,					_A		:						Tuple  ,					_A		:						str      )  ->			int:
			if IGNORE_RESULT & optionflags:
				return True
			return OutputChecker.check_output(self  ,					_A  ,					_A  ,					_A      )







lowerCAmelCase				:Optional[Any]        =      CustomOutputChecker
lowerCAmelCase				:int        =      HfDoctestModule





lowerCAmelCase				:Any        =      HfDocTestParser