


'''simple docstring'''



from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

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


if TYPE_CHECKING:
      from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


A__		: List[Any]												=  logging.get_logger(__name__)

A__		: List[Any]												=  {
    """microsoft/deberta-base""": """https://huggingface.co/microsoft/deberta-base/resolve/main/config.json""",
    """microsoft/deberta-large""": """https://huggingface.co/microsoft/deberta-large/resolve/main/config.json""",
    """microsoft/deberta-xlarge""": """https://huggingface.co/microsoft/deberta-xlarge/resolve/main/config.json""",
    """microsoft/deberta-base-mnli""": """https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/config.json""",
    """microsoft/deberta-large-mnli""": """https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/config.json""",
    """microsoft/deberta-xlarge-mnli""": """https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/config.json""",
}





class        UpperCAmelCase_  (_UpperCAmelCase  ):





    """simple docstring"""






    lowerCamelCase  : int												=      'deberta'







    def __init__(							self      ,					SCREAMING_SNAKE_CASE_=5_02_65      ,					SCREAMING_SNAKE_CASE_=7_68      ,					SCREAMING_SNAKE_CASE_=12      ,					SCREAMING_SNAKE_CASE_=12      ,					SCREAMING_SNAKE_CASE_=30_72      ,					SCREAMING_SNAKE_CASE_="gelu"      ,					SCREAMING_SNAKE_CASE_=0.1      ,					SCREAMING_SNAKE_CASE_=0.1      ,					SCREAMING_SNAKE_CASE_=5_12      ,					SCREAMING_SNAKE_CASE_=0      ,					SCREAMING_SNAKE_CASE_=0.0_2      ,					SCREAMING_SNAKE_CASE_=1E-7      ,					SCREAMING_SNAKE_CASE_=False      ,					SCREAMING_SNAKE_CASE_=-1      ,					SCREAMING_SNAKE_CASE_=0      ,					SCREAMING_SNAKE_CASE_=True      ,					SCREAMING_SNAKE_CASE_=None      ,					SCREAMING_SNAKE_CASE_=0      ,					SCREAMING_SNAKE_CASE_="gelu"      ,					**SCREAMING_SNAKE_CASE_      ,					)    ->					Any:
         super().__init__(**SCREAMING_SNAKE_CASE_     )

         __lowerCamelCase       :     Any        =		hidden_size
         __lowerCamelCase       :     Dict        =		num_hidden_layers
         __lowerCamelCase       :     Union[str, Any]        =		num_attention_heads
         __lowerCamelCase       :     Optional[int]        =		intermediate_size
         __lowerCamelCase       :     Optional[Any]        =		hidden_act
         __lowerCamelCase       :     str        =		hidden_dropout_prob
         __lowerCamelCase       :     Tuple        =		attention_probs_dropout_prob
         __lowerCamelCase       :     str        =		max_position_embeddings
         __lowerCamelCase       :     List[str]        =		type_vocab_size
         __lowerCamelCase       :     int        =		initializer_range
         __lowerCamelCase       :     Optional[int]        =		relative_attention
         __lowerCamelCase       :     Any        =		max_relative_positions
         __lowerCamelCase       :     Tuple        =		pad_token_id
         __lowerCamelCase       :     Union[str, Any]        =		position_biased_input

         # Backwards compatibility
         if type(SCREAMING_SNAKE_CASE_     ) == str:
              __lowerCamelCase       :     Optional[int]        =		[x.strip() for x in pos_att_type.lower().split('|'     )]

         __lowerCamelCase       :     List[str]        =		pos_att_type
         __lowerCamelCase       :     Optional[int]        =		vocab_size
         __lowerCamelCase       :     Dict        =		layer_norm_eps

         __lowerCamelCase       :     Dict        =		kwargs.get('pooler_hidden_size'      ,					SCREAMING_SNAKE_CASE_     )
         __lowerCamelCase       :     List[Any]        =		pooler_dropout
         __lowerCamelCase       :     Union[str, Any]        =		pooler_hidden_act







class        UpperCAmelCase_  (_UpperCAmelCase  ):





    """simple docstring"""






    @property
    def 				lowercase_    (							self     )    ->					Mapping[str, Mapping[int, str]]:
         if self.task == "multiple-choice":
              __lowerCamelCase       :     Any        =		{0: 'batch', 1: 'choice', 2: 'sequence'}
         else:
              __lowerCamelCase       :     List[Any]        =		{0: 'batch', 1: 'sequence'}
         if self._config.type_vocab_size > 0:
              return OrderedDict(
                  [('input_ids', dynamic_axis), ('attention_mask', dynamic_axis), ('token_type_ids', dynamic_axis)]     )
         else:
              return OrderedDict([('input_ids', dynamic_axis), ('attention_mask', dynamic_axis)]     )







    @property
    def 				lowercase_    (							self     )    ->					int:
         return 12







    def 				lowercase_    (							self      ,					SCREAMING_SNAKE_CASE_      ,					SCREAMING_SNAKE_CASE_ = -1      ,					SCREAMING_SNAKE_CASE_ = -1      ,					SCREAMING_SNAKE_CASE_ = -1      ,					SCREAMING_SNAKE_CASE_ = False      ,					SCREAMING_SNAKE_CASE_ = None      ,					SCREAMING_SNAKE_CASE_ = 3      ,					SCREAMING_SNAKE_CASE_ = 40      ,					SCREAMING_SNAKE_CASE_ = 40      ,					SCREAMING_SNAKE_CASE_ = None      ,					)    ->					Mapping[str, Any]:
         __lowerCamelCase       :     Tuple        =		super().generate_dummy_inputs(preprocessor=SCREAMING_SNAKE_CASE_      ,					framework=SCREAMING_SNAKE_CASE_     )
         if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
              del dummy_inputs["token_type_ids"]
         return dummy_inputs




'''simple docstring'''



import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
      A__		: Optional[int]												=  []

      A__		: List[Any]												=  os.path.join("""tests""", """models""", """**""", """test_modeling_*.py""")
      A__		: Optional[int]												=  glob.glob(pattern)
      # TODO: deal with TF/Flax too
      A__		: List[str]												=  [
          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:
            A__		: Tuple												=  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:
                        A__		: Tuple												=  tester_class(parent=None)
                  except Exception:
                        continue
                  if hasattr(tester, """get_config"""):
                        A__		: Any												=  tester.get_config()
                        for k, v in config.to_dict().items():
                              if isinstance(v, int):
                                    A__		: List[Any]												=  None
                                    if k in ["vocab_size"]:
                                          A__		: Any												=  100
                                    elif k in ["max_position_embeddings"]:
                                          A__		: List[Any]												=  128
                                    elif k in ["hidden_size", "d_model"]:
                                          A__		: List[str]												=  40
                                    elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
                                          A__		: 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))






