
import functools
from math import sqrt
from time import time
def        __lowercase(							__snake_case				:		Optional[Any]    ,*__snake_case				:		List[Any]    ,**__snake_case				:		Any					)       ->   Any:
       __snake_case						       =   time()
       __snake_case						       =   func(*__snake_case    ,**__snake_case					)
       __snake_case						       =   time()
       if int(end - start					) > 0:
              print(f'''{func.__name__} runtime: {(end - start):0.4f} s'''					)
       else:
              print(f'''{func.__name__} runtime: {(end - start) * 10_00:0.4f} ms'''					)
       return output
def        __lowercase(							__snake_case				:		int					)       ->   list[int]:
       if n < 0:
              raise Exception('n is negative'					)
       if n == 0:
              return [0]
       __snake_case						       =   [0, 1]
       for _ in range(n - 1					):
              fib.append(fib[-1] + fib[-2]					)
       return fib
def        __lowercase(							__snake_case				:		int					)       ->   list[int]:

       def fib_recursive_term(__snake_case				:		int					) -> int:
              if i < 0:
                     raise Exception('n is negative'					)
              if i < 2:
                     return i
              return fib_recursive_term(i - 1					) + fib_recursive_term(i - 2					)

       if n < 0:
              raise Exception('n is negative'					)
       return [fib_recursive_term(__snake_case					) for i in range(n + 1					)]
def        __lowercase(							__snake_case				:		int					)       ->   list[int]:

       @functools.cache
       def fib_recursive_term(__snake_case				:		int					) -> int:
              if i < 0:
                     raise Exception('n is negative'					)
              if i < 2:
                     return i
              return fib_recursive_term(i - 1					) + fib_recursive_term(i - 2					)

       if n < 0:
              raise Exception('n is negative'					)
       return [fib_recursive_term(__snake_case					) for i in range(n + 1					)]
def        __lowercase(							__snake_case				:		int					)       ->   list[int]:
       if n < 0:
              raise Exception('n is negative'					)
       # Cache must be outside recursuive function
       # other it will reset every time it calls itself.
       __snake_case						       =   {0: 0, 1: 1, 2: 1}  # Prefilled cache

       def rec_fn_memoized(__snake_case				:		int					) -> int:
              if num in cache:
                     return cache[num]

              __snake_case						       =   rec_fn_memoized(num - 1					) + rec_fn_memoized(num - 2					)
              __snake_case						       =   value
              return value

       return [rec_fn_memoized(__snake_case					) for i in range(n + 1					)]
def        __lowercase(							__snake_case				:		int					)       ->   list[int]:
       if n < 0:
              raise Exception('n is negative'					)
       if n >= 14_75:
              raise Exception('n is too large'					)
       __snake_case						       =   sqrt(5					)
       __snake_case						       =   (1 + sqrt_a) / 2
       return [round(phi**i / sqrt_a					) for i in range(n + 1					)]


if __name__ == "__main__":
 lowerCamelCase_				:							Optional[Any]       =    30
 time_func(fib_iterative, num)
 time_func(fib_recursive, num)  # Around 3s runtime
 time_func(fib_recursive_cached, num)  # Around 0ms runtime
 time_func(fib_memoization, num)
 time_func(fib_binet, num)


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_				:							Any       =    logging.get_logger(__name__)

lowerCamelCase_				:							Optional[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  _lowerCamelCase			(lowerCamelCase					):
     lowercase__				  =			"""deberta"""

     def __init__(  self							,       SCREAMING_SNAKE_CASE_=50_265							,       SCREAMING_SNAKE_CASE_=768							,       SCREAMING_SNAKE_CASE_=12							,       SCREAMING_SNAKE_CASE_=12							,       SCREAMING_SNAKE_CASE_=3_072							,       SCREAMING_SNAKE_CASE_="gelu"							,       SCREAMING_SNAKE_CASE_=0.1							,       SCREAMING_SNAKE_CASE_=0.1							,       SCREAMING_SNAKE_CASE_=512							,       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_							,       ):
            super().__init__(**SCREAMING_SNAKE_CASE_    )

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

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

            __snake_case						       =   pos_att_type
            __snake_case						       =   vocab_size
            __snake_case						       =   layer_norm_eps

            __snake_case						       =   kwargs.get('pooler_hidden_size'							,       SCREAMING_SNAKE_CASE_    )
            __snake_case						       =   pooler_dropout
            __snake_case						       =   pooler_hidden_act







class  _lowerCamelCase			(lowerCamelCase					):

     @property
     def 						__lowerCamelCase				(  self    ):
            if self.task == "multiple-choice":
                   __snake_case						       =   {0: 'batch', 1: 'choice', 2: 'sequence'}
            else:
                   __snake_case						       =   {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    ):
            return 12

     def 						__lowerCamelCase				(  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							,       ):
            __snake_case						       =   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
