from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter
def 					_snake_case	(  __snake_case  ,     __snake_case  ,     __snake_case = 1 / sqrt(2						)						):
					_UpperCamelCase			     =     tau * frequency / samplerate
					_UpperCamelCase			     =     sin(__snake_case						)
					_UpperCamelCase			     =     cos(__snake_case						)
					_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 					_snake_case	(  __snake_case  ,     __snake_case  ,     __snake_case = 1 / sqrt(2						)						):
					_UpperCamelCase			     =     tau * frequency / samplerate
					_UpperCamelCase			     =     sin(__snake_case						)
					_UpperCamelCase			     =     cos(__snake_case						)
					_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 					_snake_case	(  __snake_case  ,     __snake_case  ,     __snake_case = 1 / sqrt(2						)						):
					_UpperCamelCase			     =     tau * frequency / samplerate
					_UpperCamelCase			     =     sin(__snake_case						)
					_UpperCamelCase			     =     cos(__snake_case						)
					_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 					_snake_case	(  __snake_case  ,     __snake_case  ,     __snake_case = 1 / sqrt(2						)						):
					_UpperCamelCase			     =     tau * frequency / samplerate
					_UpperCamelCase			     =     sin(__snake_case						)
					_UpperCamelCase			     =     cos(__snake_case						)
					_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 					_snake_case	(  __snake_case  ,     __snake_case  ,     __snake_case  ,     __snake_case = 1 / sqrt(2						)  ,     ):
					_UpperCamelCase			     =     tau * frequency / samplerate
					_UpperCamelCase			     =     sin(__snake_case						)
					_UpperCamelCase			     =     cos(__snake_case						)
					_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 					_snake_case	(  __snake_case  ,     __snake_case  ,     __snake_case  ,     __snake_case = 1 / sqrt(2						)  ,     ):
					_UpperCamelCase			     =     tau * frequency / samplerate
					_UpperCamelCase			     =     sin(__snake_case						)
					_UpperCamelCase			     =     cos(__snake_case						)
					_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(__snake_case						) * 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 					_snake_case	(  __snake_case  ,     __snake_case  ,     __snake_case  ,     __snake_case = 1 / sqrt(2						)  ,     ):
					_UpperCamelCase			     =     tau * frequency / samplerate
					_UpperCamelCase			     =     sin(__snake_case						)
					_UpperCamelCase			     =     cos(__snake_case						)
					_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(__snake_case						) * 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 ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCAmelCase       =		logging.get_logger(__name__)

_lowerCAmelCase       =		{
    "microsoft/trocr-base-handwritten": (
        "https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json"
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}
class     lowerCAmelCase_     (       __lowercase ):
							UpperCAmelCase				   =     "trocr"
							UpperCAmelCase				   =     ["past_key_values"]
							UpperCAmelCase				   =     {
							    "num_attention_heads": "decoder_attention_heads",
							    "hidden_size": "d_model",
							    "num_hidden_layers": "decoder_layers",
							}







							def __init__(   self      :     List[str] ,			_A      :     Optional[Any]=5_0265 ,			_A      :     Optional[Any]=1024 ,			_A      :     Optional[Any]=12 ,			_A      :     Any=16 ,			_A      :     Any=4096 ,			_A      :     Optional[Any]="gelu" ,			_A      :     Union[str, Any]=512 ,			_A      :     Dict=0.1 ,			_A      :     List[str]=0.0 ,			_A      :     Optional[Any]=0.0 ,			_A      :     Union[str, Any]=2 ,			_A      :     Any=0.02 ,			_A      :     List[str]=0.0 ,			_A      :     List[str]=True ,			_A      :     str=False ,			_A      :     List[str]=True ,			_A      :     Optional[Any]=True ,			_A      :     Optional[int]=1 ,			_A      :     int=0 ,			_A      :     Any=2 ,			**_A      :     Optional[int] ,			):
												_UpperCamelCase			     =     vocab_size
												_UpperCamelCase			     =     d_model
												_UpperCamelCase			     =     decoder_layers
												_UpperCamelCase			     =     decoder_attention_heads
												_UpperCamelCase			     =     decoder_ffn_dim
												_UpperCamelCase			     =     activation_function
												_UpperCamelCase			     =     max_position_embeddings
												_UpperCamelCase			     =     dropout
												_UpperCamelCase			     =     attention_dropout
												_UpperCamelCase			     =     activation_dropout
												_UpperCamelCase			     =     init_std
												_UpperCamelCase			     =     decoder_layerdrop
												_UpperCamelCase			     =     use_cache
												_UpperCamelCase			     =     scale_embedding
												_UpperCamelCase			     =     use_learned_position_embeddings
												_UpperCamelCase			     =     layernorm_embedding

												super().__init__(
												    pad_token_id=_A ,			bos_token_id=_A ,			eos_token_id=_A ,			decoder_start_token_id=_A ,			**_A ,			)
