




from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_ = 1 / sqrt(2      )      )       ->	IIRFilter:

    """simple docstring"""


    __UpperCamelCase  		=						tau * frequency / samplerate
    __UpperCamelCase  		=						sin(lowercase_      )
    __UpperCamelCase  		=						cos(lowercase_      )
    __UpperCamelCase  		=						_sin / (2 * q_factor)

    __UpperCamelCase  		=						(1 - _cos) / 2
    __UpperCamelCase  		=						1 - _cos

    __UpperCamelCase  		=						1 + alpha
    __UpperCamelCase  		=						-2 * _cos
    __UpperCamelCase  		=						1 - alpha

    __UpperCamelCase  		=						IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]					,     [ba, ba, ba]      )
    return filt




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_ = 1 / sqrt(2      )      )       ->	IIRFilter:

    """simple docstring"""


    __UpperCamelCase  		=						tau * frequency / samplerate
    __UpperCamelCase  		=						sin(lowercase_      )
    __UpperCamelCase  		=						cos(lowercase_      )
    __UpperCamelCase  		=						_sin / (2 * q_factor)

    __UpperCamelCase  		=						(1 + _cos) / 2
    __UpperCamelCase  		=						-1 - _cos

    __UpperCamelCase  		=						1 + alpha
    __UpperCamelCase  		=						-2 * _cos
    __UpperCamelCase  		=						1 - alpha

    __UpperCamelCase  		=						IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]					,     [ba, ba, ba]      )
    return filt




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_ = 1 / sqrt(2      )      )       ->	IIRFilter:

    """simple docstring"""


    __UpperCamelCase  		=						tau * frequency / samplerate
    __UpperCamelCase  		=						sin(lowercase_      )
    __UpperCamelCase  		=						cos(lowercase_      )
    __UpperCamelCase  		=						_sin / (2 * q_factor)

    __UpperCamelCase  		=						_sin / 2
    __UpperCamelCase  		=						0
    __UpperCamelCase  		=						-ba

    __UpperCamelCase  		=						1 + alpha
    __UpperCamelCase  		=						-2 * _cos
    __UpperCamelCase  		=						1 - alpha

    __UpperCamelCase  		=						IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]					,     [ba, ba, ba]      )
    return filt




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_ = 1 / sqrt(2      )      )       ->	IIRFilter:

    """simple docstring"""


    __UpperCamelCase  		=						tau * frequency / samplerate
    __UpperCamelCase  		=						sin(lowercase_      )
    __UpperCamelCase  		=						cos(lowercase_      )
    __UpperCamelCase  		=						_sin / (2 * q_factor)

    __UpperCamelCase  		=						1 - alpha
    __UpperCamelCase  		=						-2 * _cos
    __UpperCamelCase  		=						1 + alpha

    __UpperCamelCase  		=						IIRFilter(2      )
    filt.set_coefficients([ba, ba, ba]					,     [ba, ba, ba]      )
    return filt




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_					,     lowercase_ = 1 / sqrt(2      )					,     )       ->	IIRFilter:

    """simple docstring"""


    __UpperCamelCase  		=						tau * frequency / samplerate
    __UpperCamelCase  		=						sin(lowercase_      )
    __UpperCamelCase  		=						cos(lowercase_      )
    __UpperCamelCase  		=						_sin / (2 * q_factor)
    __UpperCamelCase  		=						10 ** (gain_db / 40)

    __UpperCamelCase  		=						1 + alpha * big_a
    __UpperCamelCase  		=						-2 * _cos
    __UpperCamelCase  		=						1 - alpha * big_a
    __UpperCamelCase  		=						1 + alpha / big_a
    __UpperCamelCase  		=						-2 * _cos
    __UpperCamelCase  		=						1 - alpha / big_a

    __UpperCamelCase  		=						IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]					,     [ba, ba, ba]      )
    return filt




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_					,     lowercase_ = 1 / sqrt(2      )					,     )       ->	IIRFilter:

    """simple docstring"""


    __UpperCamelCase  		=						tau * frequency / samplerate
    __UpperCamelCase  		=						sin(lowercase_      )
    __UpperCamelCase  		=						cos(lowercase_      )
    __UpperCamelCase  		=						_sin / (2 * q_factor)
    __UpperCamelCase  		=						10 ** (gain_db / 40)
    __UpperCamelCase  		=						(big_a + 1) - (big_a - 1) * _cos
    __UpperCamelCase  		=						(big_a + 1) + (big_a - 1) * _cos
    __UpperCamelCase  		=						(big_a - 1) - (big_a + 1) * _cos
    __UpperCamelCase  		=						(big_a - 1) + (big_a + 1) * _cos
    __UpperCamelCase  		=						2 * sqrt(lowercase_      ) * alpha

    __UpperCamelCase  		=						big_a * (pmc + aaa)
    __UpperCamelCase  		=						2 * big_a * mpc
    __UpperCamelCase  		=						big_a * (pmc - aaa)
    __UpperCamelCase  		=						ppmc + aaa
    __UpperCamelCase  		=						-2 * pmpc
    __UpperCamelCase  		=						ppmc - aaa

    __UpperCamelCase  		=						IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]					,     [ba, ba, ba]      )
    return filt




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_					,     lowercase_ = 1 / sqrt(2      )					,     )       ->	IIRFilter:

    """simple docstring"""


    __UpperCamelCase  		=						tau * frequency / samplerate
    __UpperCamelCase  		=						sin(lowercase_      )
    __UpperCamelCase  		=						cos(lowercase_      )
    __UpperCamelCase  		=						_sin / (2 * q_factor)
    __UpperCamelCase  		=						10 ** (gain_db / 40)
    __UpperCamelCase  		=						(big_a + 1) - (big_a - 1) * _cos
    __UpperCamelCase  		=						(big_a + 1) + (big_a - 1) * _cos
    __UpperCamelCase  		=						(big_a - 1) - (big_a + 1) * _cos
    __UpperCamelCase  		=						(big_a - 1) + (big_a + 1) * _cos
    __UpperCamelCase  		=						2 * sqrt(lowercase_      ) * alpha

    __UpperCamelCase  		=						big_a * (ppmc + aaa)
    __UpperCamelCase  		=						-2 * big_a * pmpc
    __UpperCamelCase  		=						big_a * (ppmc - aaa)
    __UpperCamelCase  		=						pmc + aaa
    __UpperCamelCase  		=						2 * mpc
    __UpperCamelCase  		=						pmc - aaa

    __UpperCamelCase  		=						IIRFilter(2      )
    filt.set_coefficients([aa, aa, aa]					,     [ba, ba, ba]      )
    return filt












from collections import OrderedDict
from typing import Mapping

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


a_   		=     logging.get_logger(__name__)

a_   		=     {
    "google/bigbird-roberta-base": "https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json",
    "google/bigbird-roberta-large": "https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json",
    "google/bigbird-base-trivia-itc": "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}

class  _lowerCamelCase						(			_SCREAMING_SNAKE_CASE   ):

      """simple docstring"""

      lowerCAmelCase__			: str    =					"big_bird"







      def __init__(     self					: str ,       snake_case					: Optional[Any]=50358 ,       snake_case					: Union[str, Any]=768 ,       snake_case					: Dict=12 ,       snake_case					: List[Any]=12 ,       snake_case					: Tuple=3072 ,       snake_case					: Tuple="gelu_new" ,       snake_case					: Dict=0.1 ,       snake_case					: Any=0.1 ,       snake_case					: List[Any]=4096 ,       snake_case					: Union[str, Any]=2 ,       snake_case					: Union[str, Any]=0.02 ,       snake_case					: Union[str, Any]=1E-12 ,       snake_case					: List[Any]=True ,       snake_case					: List[Any]=0 ,       snake_case					: int=1 ,       snake_case					: int=2 ,       snake_case					: Any=66 ,       snake_case					: str="block_sparse" ,       snake_case					: Any=True ,       snake_case					: Tuple=False ,       snake_case					: List[Any]=64 ,       snake_case					: Dict=3 ,       snake_case					: Union[str, Any]=None ,       **snake_case					: Any ,       ):
          super().__init__(
              pad_token_id=snake_case ,       bos_token_id=snake_case ,       eos_token_id=snake_case ,       sep_token_id=snake_case ,       **snake_case ,       )

          __UpperCamelCase  		=						vocab_size
          __UpperCamelCase  		=						max_position_embeddings
          __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  		=						initializer_range
          __UpperCamelCase  		=						type_vocab_size
          __UpperCamelCase  		=						layer_norm_eps
          __UpperCamelCase  		=						use_cache

          __UpperCamelCase  		=						rescale_embeddings
          __UpperCamelCase  		=						attention_type
          __UpperCamelCase  		=						use_bias
          __UpperCamelCase  		=						block_size
          __UpperCamelCase  		=						num_random_blocks
          __UpperCamelCase  		=						classifier_dropout







class  _lowerCamelCase						(			_SCREAMING_SNAKE_CASE   ):

      """simple docstring"""

      @property
      def       snake_case	(     self					: int				):
          if self.task == "multiple-choice":
              __UpperCamelCase  		=						{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
          else:
              __UpperCamelCase  		=						{0: '''batch''', 1: '''sequence'''}
          return OrderedDict(
              [
                  ('''input_ids''', dynamic_axis),
                  ('''attention_mask''', dynamic_axis),
              ]				)






