



from dataclasses import asdict, dataclass
from typing import Optional

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


UpperCAmelCase							 =					logging.get_logger(__name__)

# TODO Update this
UpperCAmelCase							 =					{
    """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  __snake_case      (   SCREAMING_SNAKE_CASE):







							'''simple docstring'''






							UpperCamelCase__				:      Any         =					"""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_  ,  ):
											super().__init__(pad_token_id=a_  ,  mask_token_id=a_  ,  **a_		)

											a__				      =		vocab_size
											a__				      =		hidden_size
											a__				      =		num_hidden_layers
											a__				      =		num_attention_heads
											a__				      =		intermediate_size
											a__				      =		hidden_dropout_prob
											a__				      =		attention_probs_dropout_prob
											a__				      =		max_position_embeddings
											a__				      =		initializer_range
											a__				      =		layer_norm_eps
											a__				      =		position_embedding_type
											a__				      =		use_cache
											a__				      =		emb_layer_norm_before
											a__				      =		token_dropout
											a__				      =		is_folding_model
											if is_folding_model:
															if esmfold_config is None:
																			logger.info("""No esmfold_config supplied for folding model, using default values."""		)
																			a__				      =		EsmFoldConfig()
															elif isinstance(a_  ,  a_		):
																			a__				      =		EsmFoldConfig(**a_		)
															a__				      =		esmfold_config
															if vocab_list is None:
																			logger.warning("""No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!"""		)
																			a__				      =		get_default_vocab_list()
															else:
																			a__				      =		vocab_list
											else:
															a__				      =		None
															a__				      =		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 _a      (							self		):
											a__				      =		super().to_dict()
											if isinstance(self.esmfold_config  ,  a_		):
															a__				      =		self.esmfold_config.to_dict()
											return output




@dataclass
class  __snake_case      :







							'''simple docstring'''






							UpperCamelCase__				:      str         =					None
							UpperCamelCase__				:      bool         =					True
							UpperCamelCase__				:      bool         =					False
							UpperCamelCase__				:      bool         =					False
							UpperCamelCase__				:      bool         =					False
							UpperCamelCase__				:      float         =					0

							UpperCamelCase__				:      bool         =					True
							UpperCamelCase__				:      bool         =					False

							UpperCamelCase__				:      int         =					1_2_8
							UpperCamelCase__				:      "TrunkConfig"         =					None


							def _a      (							self		):
											if self.trunk is None:
															a__				      =		TrunkConfig()
											elif isinstance(self.trunk  ,  a_		):
															a__				      =		TrunkConfig(**self.trunk		)



							def _a      (							self		):
											a__				      =		asdict(self		)
											a__				      =		self.trunk.to_dict()
											return output




@dataclass
class  __snake_case      :







							'''simple docstring'''






							UpperCamelCase__				:      int         =					4_8
							UpperCamelCase__				:      int         =					1_0_2_4
							UpperCamelCase__				:      int         =					1_2_8
							UpperCamelCase__				:      int         =					3_2
							UpperCamelCase__				:      int         =					3_2
							UpperCamelCase__				:      int         =					3_2
							UpperCamelCase__				:      float         =					0
							UpperCamelCase__				:      float         =					0
							UpperCamelCase__				:      bool         =					False
							UpperCamelCase__				:      int         =					4
							UpperCamelCase__				:      Optional[int]         =					1_2_8
							UpperCamelCase__				:      "StructureModuleConfig"         =					None


							def _a      (							self		):
											if self.structure_module is None:
															a__				      =		StructureModuleConfig()
											elif isinstance(self.structure_module  ,  a_		):
															a__				      =		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}.'''		)

											a__				      =		self.sequence_state_dim // self.sequence_head_width
											a__				      =		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 _a      (							self		):
											a__				      =		asdict(self		)
											a__				      =		self.structure_module.to_dict()
											return output




@dataclass
class  __snake_case      :







							'''simple docstring'''






							UpperCamelCase__				:      int         =					3_8_4
							UpperCamelCase__				:      int         =					1_2_8
							UpperCamelCase__				:      int         =					1_6
							UpperCamelCase__				:      int         =					1_2_8
							UpperCamelCase__				:      int         =					1_2
							UpperCamelCase__				:      int         =					4
							UpperCamelCase__				:      int         =					8
							UpperCamelCase__				:      float         =					0.1
							UpperCamelCase__				:      int         =					8
							UpperCamelCase__				:      int         =					1
							UpperCamelCase__				:      int         =					2
							UpperCamelCase__				:      int         =					7
							UpperCamelCase__				:      int         =					1_0
							UpperCamelCase__				:      float         =					1e-8
							UpperCamelCase__				:      float         =					1e5


							def _a      (							self		):
											return asdict(self		)




def 			A_      (	):

				"""simple docstring"""
				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>",
				)






from math import sqrt

import numpy as np
from sympy import symbols

# Coefficient
# Speed of light (m/s)
UpperCAmelCase							 =					299_792_458

# Symbols
UpperCAmelCase ,       UpperCAmelCase ,       UpperCAmelCase ,       UpperCAmelCase							 =					symbols("""ct x y z""")

def 			A_      (	__a     :				float		):

				"""simple docstring"""
				if velocity > c:
								raise ValueError("""Speed must not exceed light speed 299,792,458 [m/s]!"""		)
				elif velocity < 1:
								# Usually the speed should be much higher than 1 (c order of magnitude)
								raise ValueError("""Speed must be greater than or equal to 1!"""		)

				return velocity / c

def 			A_      (	__a     :				float		):

				"""simple docstring"""
				return 1 / sqrt(1 - beta(__a		) ** 2		)

def 			A_      (	__a     :				float		):

				"""simple docstring"""
				return np.array(
				    [
				        [gamma(__a		), -gamma(__a		) * beta(__a		), 0, 0],
				        [-gamma(__a		) * beta(__a		), gamma(__a		), 0, 0],
				        [0, 0, 1, 0],
				        [0, 0, 0, 1],
				    ]		)

def 			A_      (	__a     :				float ,		__a     :				np.ndarray | None = None		):

				"""simple docstring"""
				# Ensure event is not empty
				if event is None:
								a__				      =		np.array([ct, x, y, z]		)  # Symbolic four vector
				else:
								event[0] *= c  # x0 is ct (speed of light * time)

				return transformation_matrix(__a		) @ event


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	# Example of symbolic vector:
	UpperCAmelCase							 =					transform(29_979_245)
	print("""Example of four vector: """)
	print(f"""ct' = {four_vector[0]}""")
	print(f"""x' = {four_vector[1]}""")
	print(f"""y' = {four_vector[2]}""")
	print(f"""z' = {four_vector[3]}""")

	# Substitute symbols with numerical values
	UpperCAmelCase							 =					{ct: c, x: 1, y: 1, z: 1}
	UpperCAmelCase							 =					[four_vector[i].subs(sub_dict) for i in range(4)]

	print(f"""\n{numerical_vector}""")

