'''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


_lowercase		:					Dict													=		logging.get_logger(__name__)

_lowercase		:					Tuple													=		{
    "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        __magic_name__		(       _UpperCAmelCase):
			UpperCamelCase__							=			'''deberta'''







			def __init__(      self							:    Union[str, Any]							,     lowercase_							:    str=50265							,     lowercase_							:    str=768							,     lowercase_							:    Optional[int]=12							,     lowercase_							:    Optional[Any]=12							,     lowercase_							:    Optional[int]=3072							,     lowercase_							:    Optional[Any]="gelu"							,     lowercase_							:    Tuple=0.1							,     lowercase_							:    int=0.1							,     lowercase_							:    Tuple=512							,     lowercase_							:    Any=0							,     lowercase_							:    Dict=0.02							,     lowercase_							:    Tuple=1E-7							,     lowercase_							:    Dict=False							,     lowercase_							:    Tuple=-1							,     lowercase_							:    List[Any]=0							,     lowercase_							:    Optional[Any]=True							,     lowercase_							:    str=None							,     lowercase_							:    List[Any]=0							,     lowercase_							:    Optional[Any]="gelu"							,     **lowercase_							:    Tuple							,     ):
										super().__init__(**lowercase_       )

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

										# Backwards compatibility
										if type(lowercase_       ) == str:
																	lowercase_   :     List[str]									=			[x.strip() for x in pos_att_type.lower().split("""|"""       )]

										lowercase_   :     int									=			pos_att_type
										lowercase_   :     List[Any]									=			vocab_size
										lowercase_   :     int									=			layer_norm_eps

										lowercase_   :     int									=			kwargs.get("""pooler_hidden_size"""							,     lowercase_       )
										lowercase_   :     Union[str, Any]									=			pooler_dropout
										lowercase_   :     Union[str, Any]									=			pooler_hidden_act





class        __magic_name__		(       _UpperCAmelCase):







			@property
			def       SCREAMING_SNAKE_CASE_	(      self							:    List[str]       ):
										if self.task == "multiple-choice":
																	lowercase_   :     Any									=			{0: """batch""", 1: """choice""", 2: """sequence"""}
										else:
																	lowercase_   :     str									=			{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       SCREAMING_SNAKE_CASE_	(      self							:    List[Any]       ):
										return 12







			def       SCREAMING_SNAKE_CASE_	(      self							:    List[Any]							,     lowercase_							:    Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]							,     lowercase_							:    int = -1							,     lowercase_							:    int = -1							,     lowercase_							:    int = -1							,     lowercase_							:    bool = False							,     lowercase_							:    Optional["TensorType"] = None							,     lowercase_							:    int = 3							,     lowercase_							:    int = 40							,     lowercase_							:    int = 40							,     lowercase_							:    "PreTrainedTokenizerBase" = None							,     ):
										lowercase_   :     str									=			super().generate_dummy_inputs(preprocessor=lowercase_							,     framework=lowercase_       )
										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 os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

_lowercase		:					int													=		[(1,)]




def 				lowerCamelCase      ( )     -> Dict:
							lowercase_   :     Union[str, Any]									=			bool(os.getenv("""RUN_SLOW""" , 0					)					)
							if run_slow:
														assert True
							else:
														assert False, "should have been skipped"




def 				lowerCamelCase      ( )     -> List[str]:
							lowercase_   :     Union[str, Any]									=			bool(os.getenv("""RUN_SLOW""" , 0					)					)
							if run_slow and torch_device == "cuda":
														assert True
							else:
														assert False, "should have been skipped"





@require_torch
class        __magic_name__		(       unittest.TestCase):







			@slow
			@require_torch_gpu
			def       SCREAMING_SNAKE_CASE_	(      self							:    Dict       ):
										check_slow_torch_cuda()







			@require_torch_gpu
			@slow
			def       SCREAMING_SNAKE_CASE_	(      self							:    List[str]       ):
										check_slow_torch_cuda()







			@parameterized.expand(lowercase_       )
			@slow
			def       SCREAMING_SNAKE_CASE_	(      self							:    Tuple							,     lowercase_							:    Dict=None       ):
										check_slow()




@slow
@require_torch_gpu
def 				lowerCamelCase      ( )     -> Union[str, Any]:
							check_slow_torch_cuda()




@require_torch_gpu
@slow
def 				lowerCamelCase      ( )     -> Any:
							check_slow_torch_cuda()




@slow
@pytest.mark.parametrize("""param""" , [1]					)
def 				lowerCamelCase      ( UpperCAmelCase__			:   List[str]					)     -> List[Any]:
							check_slow()




@pytest.mark.parametrize("""param""" , [1]					)
@slow
def 				lowerCamelCase      ( UpperCAmelCase__			:   Optional[Any]					)     -> Any:
							check_slow()





