






from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np





class      __a    (       A__			):







 def    __lowercase   (						self   :  int				,  SCREAMING_SNAKE_CASE   :  Optional[int]		):


      '''simple docstring'''






      return 0.0







def 						SCREAMING_SNAKE_CASE				(   __lowerCAmelCase   ,       __lowerCAmelCase     )					->      tuple[int | float, int | float]:
     UpperCamelCase__     :  List[Any]										=    min([-20, np.min(fft_results[1 : samplerate // 2 - 1]     )]     )
     UpperCamelCase__     :  Optional[int]										=    max([20, np.max(fft_results[1 : samplerate // 2 - 1]     )]     )
     return lowest, highest







def 						SCREAMING_SNAKE_CASE				(   __lowerCAmelCase   ,       __lowerCAmelCase     )					->      None:
     UpperCamelCase__     :  List[Any]										=    512
     UpperCamelCase__     :  Optional[int]										=    [1] + [0] * (size - 1)
     UpperCamelCase__     :  Tuple										=    [filter_type.process(UpperCAmelCase_     ) for item in inputs]

     UpperCamelCase__     :  Any										=    [0] * (samplerate - size)  # zero-padding
     outputs += filler
     UpperCamelCase__     :  str										=    np.abs(np.fft.fft(UpperCAmelCase_     )     )
     UpperCamelCase__     :  Dict										=    20 * np.logaa(UpperCAmelCase_     )

     # Frequencies on log scale from 24 to nyquist frequency
     plt.xlim(24   ,       samplerate / 2 - 1     )
     plt.xlabel("Frequency (Hz)"     )
     plt.xscale("log"     )

     # Display within reasonable bounds
     UpperCamelCase__     :  List[Any]										=    get_bounds(UpperCAmelCase_   ,       UpperCAmelCase_     )
     plt.ylim(max([-80, bounds[0]]     )   ,       min([80, bounds[1]]     )     )
     plt.ylabel("Gain (dB)"     )

     plt.plot(UpperCAmelCase_     )
     plt.show()







def 						SCREAMING_SNAKE_CASE				(   __lowerCAmelCase   ,       __lowerCAmelCase     )					->      None:
     UpperCamelCase__     :  List[Any]										=    512
     UpperCamelCase__     :  Optional[Any]										=    [1] + [0] * (size - 1)
     UpperCamelCase__     :  str										=    [filter_type.process(UpperCAmelCase_     ) for item in inputs]

     UpperCamelCase__     :  str										=    [0] * (samplerate - size)  # zero-padding
     outputs += filler
     UpperCamelCase__     :  List[str]										=    np.angle(np.fft.fft(UpperCAmelCase_     )     )

     # Frequencies on log scale from 24 to nyquist frequency
     plt.xlim(24   ,       samplerate / 2 - 1     )
     plt.xlabel("Frequency (Hz)"     )
     plt.xscale("log"     )

     plt.ylim(-2 * pi   ,       2 * pi     )
     plt.ylabel("Phase shift (Radians)"     )
     plt.plot(np.unwrap(UpperCAmelCase_   ,       -2 * pi     )     )
     plt.show()

from dataclasses import asdict, dataclass
from typing import Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowercase											=    logging.get_logger(__name__)

# TODO Update this
_lowercase											=    {
    """facebook/esm-1b""": """https://huggingface.co/facebook/esm-1b/resolve/main/config.json""",
    # See all ESM models at https://huggingface.co/models?filter=esm
}


class 			lowercase_		(      A       ):
       __lowerCamelCase				       =						"esm"


       def __init__(    self						,       __A=None						,       __A=None						,       __A=None						,       __A=768						,       __A=12						,       __A=12						,       __A=3_072						,       __A=0.1						,       __A=0.1						,       __A=1_026						,       __A=0.02						,       __A=1e-1_2						,       __A="absolute"						,       __A=True						,       __A=None						,       __A=False						,       __A=False						,       __A=None						,       __A=None						,       **__A						,       )						->    int:
              super().__init__(pad_token_id=__A						,       mask_token_id=__A						,       **__A				)

              SCREAMING_SNAKE_CASE_							:				Any		=vocab_size
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=hidden_size
              SCREAMING_SNAKE_CASE_							:				int		=num_hidden_layers
              SCREAMING_SNAKE_CASE_							:				int		=num_attention_heads
              SCREAMING_SNAKE_CASE_							:				List[str]		=intermediate_size
              SCREAMING_SNAKE_CASE_							:				int		=hidden_dropout_prob
              SCREAMING_SNAKE_CASE_							:				int		=attention_probs_dropout_prob
              SCREAMING_SNAKE_CASE_							:				List[Any]		=max_position_embeddings
              SCREAMING_SNAKE_CASE_							:				List[Any]		=initializer_range
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=layer_norm_eps
              SCREAMING_SNAKE_CASE_							:				str		=position_embedding_type
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=use_cache
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=emb_layer_norm_before
              SCREAMING_SNAKE_CASE_							:				Tuple		=token_dropout
              SCREAMING_SNAKE_CASE_							:				List[Any]		=is_folding_model
              if is_folding_model:
                     if esmfold_config is None:
                            logger.info('''No esmfold_config supplied for folding model, using default values.'''				)
                            SCREAMING_SNAKE_CASE_							:				Optional[int]		=EsmFoldConfig()
                     elif isinstance(__A						,       __A				):
                            SCREAMING_SNAKE_CASE_							:				List[Any]		=EsmFoldConfig(**__A				)
                     SCREAMING_SNAKE_CASE_							:				Optional[int]		=esmfold_config
                     if vocab_list is None:
                            logger.warning('''No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!'''				)
                            SCREAMING_SNAKE_CASE_							:				Tuple		=get_default_vocab_list()
                     else:
                            SCREAMING_SNAKE_CASE_							:				Optional[Any]		=vocab_list
              else:
                     SCREAMING_SNAKE_CASE_							:				List[str]		=None
                     SCREAMING_SNAKE_CASE_							:				Optional[int]		=None
              if self.esmfold_config is not None and getattr(self.esmfold_config						,       '''use_esm_attn_map'''						,       __A				):
                     raise ValueError('''The HuggingFace port of ESMFold does not support use_esm_attn_map at this time!'''				)





       def 	_snake_case				(    self				)						->    List[Any]:
              SCREAMING_SNAKE_CASE_							:				str		=super().to_dict()
              if isinstance(self.esmfold_config						,       __A				):
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=self.esmfold_config.to_dict()
              return output






@dataclass
class 			lowercase_		:
       __lowerCamelCase				       =						None
       __lowerCamelCase				       =						True
       __lowerCamelCase				       =						False
       __lowerCamelCase				       =						False
       __lowerCamelCase				       =						False
       __lowerCamelCase				       =						0

       __lowerCamelCase				       =						True
       __lowerCamelCase				       =						False

       __lowerCamelCase				       =						1_2_8
       __lowerCamelCase				       =						None


       def 	_snake_case				(    self				)						->    Optional[Any]:
              if self.trunk is None:
                     SCREAMING_SNAKE_CASE_							:				Tuple		=TrunkConfig()
              elif isinstance(self.trunk						,       __A				):
                     SCREAMING_SNAKE_CASE_							:				List[str]		=TrunkConfig(**self.trunk				)





       def 	_snake_case				(    self				)						->    List[Any]:
              SCREAMING_SNAKE_CASE_							:				int		=asdict(self				)
              SCREAMING_SNAKE_CASE_							:				Tuple		=self.trunk.to_dict()
              return output






@dataclass
class 			lowercase_		:
       __lowerCamelCase				       =						4_8
       __lowerCamelCase				       =						1_0_2_4
       __lowerCamelCase				       =						1_2_8
       __lowerCamelCase				       =						3_2
       __lowerCamelCase				       =						3_2
       __lowerCamelCase				       =						3_2
       __lowerCamelCase				       =						0
       __lowerCamelCase				       =						0
       __lowerCamelCase				       =						False
       __lowerCamelCase				       =						4
       __lowerCamelCase				       =						1_2_8
       __lowerCamelCase				       =						None


       def 	_snake_case				(    self				)						->    int:
              if self.structure_module is None:
                     SCREAMING_SNAKE_CASE_							:				Dict		=StructureModuleConfig()
              elif isinstance(self.structure_module						,       __A				):
                     SCREAMING_SNAKE_CASE_							:				Optional[Any]		=StructureModuleConfig(**self.structure_module				)

              if self.max_recycles <= 0:
                     raise ValueError(F'`max_recycles` should be positive, got {self.max_recycles}.'				)
              if self.sequence_state_dim % self.sequence_state_dim != 0:
                     raise ValueError(
                         '''`sequence_state_dim` should be a round multiple of `sequence_state_dim`, got'''
                         F' {self.sequence_state_dim} and {self.sequence_state_dim}.'				)
              if self.pairwise_state_dim % self.pairwise_state_dim != 0:
                     raise ValueError(
                         '''`pairwise_state_dim` should be a round multiple of `pairwise_state_dim`, got'''
                         F' {self.pairwise_state_dim} and {self.pairwise_state_dim}.'				)

              SCREAMING_SNAKE_CASE_							:				Tuple		=self.sequence_state_dim // self.sequence_head_width
              SCREAMING_SNAKE_CASE_							:				str		=self.pairwise_state_dim // self.pairwise_head_width

              if self.sequence_state_dim != sequence_num_heads * self.sequence_head_width:
                     raise ValueError(
                         '''`sequence_state_dim` should be equal to `sequence_num_heads * sequence_head_width, got'''
                         F' {self.sequence_state_dim} != {sequence_num_heads} * {self.sequence_head_width}.'				)
              if self.pairwise_state_dim != pairwise_num_heads * self.pairwise_head_width:
                     raise ValueError(
                         '''`pairwise_state_dim` should be equal to `pairwise_num_heads * pairwise_head_width, got'''
                         F' {self.pairwise_state_dim} != {pairwise_num_heads} * {self.pairwise_head_width}.'				)
              if self.pairwise_state_dim % 2 != 0:
                     raise ValueError(F'`pairwise_state_dim` should be even, got {self.pairwise_state_dim}.'				)

              if self.dropout >= 0.4:
                     raise ValueError(F'`dropout` should not be greater than 0.4, got {self.dropout}.'				)





       def 	_snake_case				(    self				)						->    int:
              SCREAMING_SNAKE_CASE_							:				str		=asdict(self				)
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=self.structure_module.to_dict()
              return output






@dataclass
class 			lowercase_		:
       __lowerCamelCase				       =						3_8_4
       __lowerCamelCase				       =						1_2_8
       __lowerCamelCase				       =						1_6
       __lowerCamelCase				       =						1_2_8
       __lowerCamelCase				       =						1_2
       __lowerCamelCase				       =						4
       __lowerCamelCase				       =						8
       __lowerCamelCase				       =						0.1
       __lowerCamelCase				       =						8
       __lowerCamelCase				       =						1
       __lowerCamelCase				       =						2
       __lowerCamelCase				       =						7
       __lowerCamelCase				       =						1_0
       __lowerCamelCase				       =						1E-8
       __lowerCamelCase				       =						1E5


       def 	_snake_case				(    self				)						->    str:
              return asdict(self				)






def 							SCREAMING_SNAKE_CASE_	(					)			->						int:
       return (
           "<cls>",
           "<pad>",
           "<eos>",
           "<unk>",
           "L",
           "A",
           "G",
           "V",
           "S",
           "E",
           "R",
           "T",
           "I",
           "D",
           "P",
           "K",
           "Q",
           "N",
           "F",
           "Y",
           "M",
           "H",
           "W",
           "C",
           "X",
           "B",
           "U",
           "Z",
           "O",
           ".",
           "-",
           "<null_1>",
           "<mask>",
       )
