"""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


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

lowerCAmelCase_:       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  a__     ( _a						):
   snake_case_				=   "deberta"


   def __init__(  self,					_UpperCAmelCase=5_0265,					_UpperCAmelCase=768,					_UpperCAmelCase=12,					_UpperCAmelCase=12,					_UpperCAmelCase=3072,					_UpperCAmelCase="gelu",					_UpperCAmelCase=0.1,					_UpperCAmelCase=0.1,					_UpperCAmelCase=512,					_UpperCAmelCase=0,					_UpperCAmelCase=0.02,					_UpperCAmelCase=1E-7,					_UpperCAmelCase=False,					_UpperCAmelCase=-1,					_UpperCAmelCase=0,					_UpperCAmelCase=True,					_UpperCAmelCase=None,					_UpperCAmelCase=0,					_UpperCAmelCase="gelu",					**_UpperCAmelCase,					):
        '''simple docstring'''



        super().__init__(**_UpperCAmelCase	)

        lowercase__								=				hidden_size
        lowercase__								=				num_hidden_layers
        lowercase__								=				num_attention_heads
        lowercase__								=				intermediate_size
        lowercase__								=				hidden_act
        lowercase__								=				hidden_dropout_prob
        lowercase__								=				attention_probs_dropout_prob
        lowercase__								=				max_position_embeddings
        lowercase__								=				type_vocab_size
        lowercase__								=				initializer_range
        lowercase__								=				relative_attention
        lowercase__								=				max_relative_positions
        lowercase__								=				pad_token_id
        lowercase__								=				position_biased_input

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

        lowercase__								=				pos_att_type
        lowercase__								=				vocab_size
        lowercase__								=				layer_norm_eps

        lowercase__								=				kwargs.get("pooler_hidden_size",					_UpperCAmelCase	)
        lowercase__								=				pooler_dropout
        lowercase__								=				pooler_hidden_act






class  a__     ( _a						):


   @property
   def 						snake_case__						(  self	):
        '''simple docstring'''



        if self.task == "multiple-choice":
             lowercase__								=				{0: "batch", 1: "choice", 2: "sequence"}
        else:
             lowercase__								=				{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 						snake_case__						(  self	):
        '''simple docstring'''



        return 12


   def 						snake_case__						(  self,					_UpperCAmelCase,					_UpperCAmelCase = -1,					_UpperCAmelCase = -1,					_UpperCAmelCase = -1,					_UpperCAmelCase = False,					_UpperCAmelCase = None,					_UpperCAmelCase = 3,					_UpperCAmelCase = 40,					_UpperCAmelCase = 40,					_UpperCAmelCase = None,					):
        '''simple docstring'''



        lowercase__								=				super().generate_dummy_inputs(preprocessor=_UpperCAmelCase,					framework=_UpperCAmelCase	)
        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 platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand







def        __a (		A   ):






     '''simple docstring'''



     return EnvironmentCommand()






class  a__     ( _a						):


   @staticmethod
   def 						snake_case__						(  _UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				parser.add_parser("env",					help="Print relevant system environment info."	)
        download_parser.set_defaults(func=_UpperCAmelCase	)


   def 						snake_case__						(  self	):
        '''simple docstring'''



        lowercase__								=				{
            "`datasets` version": version,
            "Platform": platform.platform(),
            "Python version": platform.python_version(),
            "Huggingface_hub version": huggingface_hub.__version__,
            "PyArrow version": pyarrow.__version__,
            "Pandas version": pandas.__version__,
        }

        print("\nCopy-and-paste the text below in your GitHub issue.\n"	)
        print(self.format_dict(_UpperCAmelCase	)	)

        return info


   @staticmethod
   def 						snake_case__						(  _UpperCAmelCase	):
        '''simple docstring'''



        return "\n".join([F'''- {prop}: {val}''' for prop, val in d.items()]	) + "\n"




