



"""simple docstring"""
import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
			__SCREAMING_SNAKE_CASE     :  Dict										=					[]

			__SCREAMING_SNAKE_CASE     :  Optional[Any]										=					os.path.join('''tests''', '''models''', '''**''', '''test_modeling_*.py''')
			__SCREAMING_SNAKE_CASE     :  List[str]										=					glob.glob(pattern)
			# TODO: deal with TF/Flax too
			__SCREAMING_SNAKE_CASE     :  Optional[Any]										=					[
			    x for x in test_files if not (x.startswith('''test_modeling_tf_''') or x.startswith('''test_modeling_flax_'''))
			]

			for test_file in test_files:
						__SCREAMING_SNAKE_CASE     :  Optional[Any]										=					get_tester_classes(test_file)
						for tester_class in tester_classes:
									# A few tester classes don't have `parent` parameter in `__init__`.
									# TODO: deal this better
									try:
												__SCREAMING_SNAKE_CASE     :  Optional[int]										=					tester_class(parent=None)
									except Exception:
												continue
									if hasattr(tester, '''get_config'''):
												__SCREAMING_SNAKE_CASE     :  str										=					tester.get_config()
												for k, v in config.to_dict().items():
															if isinstance(v, int):
																		__SCREAMING_SNAKE_CASE     :  List[str]										=					None
																		if k in ["vocab_size"]:
																					__SCREAMING_SNAKE_CASE     :  Optional[Any]										=					1_0_0
																		elif k in ["max_position_embeddings"]:
																					__SCREAMING_SNAKE_CASE     :  Any										=					1_2_8
																		elif k in ["hidden_size", "d_model"]:
																					__SCREAMING_SNAKE_CASE     :  int										=					4_0
																		elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
																					__SCREAMING_SNAKE_CASE     :  List[str]										=					5
																		if target is not None and v > target:
																					failures.append(
																					    F"""{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`"""
																					    F""" with config[\"{k}\"] = {v} which is too large for testing! Set its value to be smaller"""
																					    F""" than {target}."""
																					)

			if len(failures) > 0:
						raise Exception(F"""There were {len(failures)} failures:\n""" + '''\n'''.join(failures))





"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


__SCREAMING_SNAKE_CASE     :  Union[str, Any]										=					logging.get_logger(__name__)


class 							lowerCamelCase_(      A__			):





					'''simple docstring'''



					def __init__(			self ,				*lowerCamelCase__ ,				**lowerCamelCase__      ):
									warnings.warn(
									    '''The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
									    ''' Please use LayoutLMv3ImageProcessor instead.''' ,				lowerCamelCase__ ,				)
									super().__init__(*lowerCamelCase__ ,				**lowerCamelCase__      )
