

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_						:     str			  =				logging.get_logger(__name__)

A_						:     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    A_				( _a  ):


    '''simple docstring'''






    a__       							=    "deberta"


    def __init__(self       , lowercase__=50_265       , lowercase__=768       , lowercase__=12       , lowercase__=12       , lowercase__=3_072       , lowercase__="gelu"       , lowercase__=0.1       , lowercase__=0.1       , lowercase__=512       , lowercase__=0       , lowercase__=0.02       , lowercase__=1E-7       , lowercase__=False       , lowercase__=-1       , lowercase__=0       , lowercase__=True       , lowercase__=None       , lowercase__=0       , lowercase__="gelu"       , **lowercase__       , )       -> Any:
        super().__init__(**lowercase__					)

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

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

        __UpperCAmelCase			   =     pos_att_type
        __UpperCAmelCase			   =     vocab_size
        __UpperCAmelCase			   =     layer_norm_eps

        __UpperCAmelCase			   =     kwargs.get('''pooler_hidden_size'''       , lowercase__					)
        __UpperCAmelCase			   =     pooler_dropout
        __UpperCAmelCase			   =     pooler_hidden_act






class    A_				( _a  ):


    '''simple docstring'''






    @property
    def        lowerCAmelCase_  (self					)       -> Mapping[str, Mapping[int, str]]:
        if self.task == "multiple-choice":
            __UpperCAmelCase			   =     {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
        else:
            __UpperCAmelCase			   =     {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        lowerCAmelCase_  (self					)       -> int:
        return 12






    def        lowerCAmelCase_  (self       , lowercase__       , lowercase__ = -1       , lowercase__ = -1       , lowercase__ = -1       , lowercase__ = False       , lowercase__ = None       , lowercase__ = 3       , lowercase__ = 40       , lowercase__ = 40       , lowercase__ = None       , )       -> Mapping[str, Any]:
        __UpperCAmelCase			   =     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







def  __a    (				SCREAMING_SNAKE_CASE ) ->       float:






    '''simple docstring'''
    return -num if num < 0 else num


def  __a    (				SCREAMING_SNAKE_CASE ) ->       int:






    '''simple docstring'''
    if len(SCREAMING_SNAKE_CASE ) == 0:
        raise ValueError('''abs_min() arg is an empty sequence''' )
    __UpperCAmelCase			   =     x[0]
    for i in x:
        if abs_val(SCREAMING_SNAKE_CASE ) < abs_val(SCREAMING_SNAKE_CASE ):
            __UpperCAmelCase			   =     i
    return j


def  __a    (				SCREAMING_SNAKE_CASE ) ->       int:






    '''simple docstring'''
    if len(SCREAMING_SNAKE_CASE ) == 0:
        raise ValueError('''abs_max() arg is an empty sequence''' )
    __UpperCAmelCase			   =     x[0]
    for i in x:
        if abs(SCREAMING_SNAKE_CASE ) > abs(SCREAMING_SNAKE_CASE ):
            __UpperCAmelCase			   =     i
    return j


def  __a    (				SCREAMING_SNAKE_CASE ) ->       int:






    '''simple docstring'''
    if len(SCREAMING_SNAKE_CASE ) == 0:
        raise ValueError('''abs_max_sort() arg is an empty sequence''' )
    return sorted(SCREAMING_SNAKE_CASE    ,				key=SCREAMING_SNAKE_CASE )[-1]


def  __a    (				) ->       Union[str, Any]:






    '''simple docstring'''
    assert abs_val(0 ) == 0
    assert abs_val(3_4 ) == 3_4
    assert abs_val(-1_0_0_0_0_0_0_0_0_0_0_0 ) == 1_0_0_0_0_0_0_0_0_0_0_0

    __UpperCAmelCase			   =     [-3, -1, 2, -1_1]
    assert abs_max(SCREAMING_SNAKE_CASE ) == -1_1
    assert abs_max_sort(SCREAMING_SNAKE_CASE ) == -1_1
    assert abs_min(SCREAMING_SNAKE_CASE ) == -1


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       test_abs_val()
       print(abs_val(-34))  # --> 34




