




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 							__UpperCamelCase			( _A  ):





				'''simple docstring'''



				__a							: int										="""esm"""



				def __init__( self       , UpperCAmelCase_=None       , UpperCAmelCase_=None       , UpperCAmelCase_=None       , UpperCAmelCase_=7_68       , UpperCAmelCase_=12       , UpperCAmelCase_=12       , UpperCAmelCase_=30_72       , UpperCAmelCase_=0.1       , UpperCAmelCase_=0.1       , UpperCAmelCase_=10_26       , UpperCAmelCase_=0.02       , UpperCAmelCase_=1E-1_2       , UpperCAmelCase_="absolute"       , UpperCAmelCase_=True       , UpperCAmelCase_=None       , UpperCAmelCase_=False       , UpperCAmelCase_=False       , UpperCAmelCase_=None       , UpperCAmelCase_=None       , **UpperCAmelCase_       , ):
											super().__init__(pad_token_id=__lowerCamelCase       , mask_token_id=__lowerCamelCase       , **__lowerCamelCase						)

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






				def       __snake_case		( self						):
											lowerCAmelCase   =		super().to_dict()
											if isinstance(self.esmfold_config       , __lowerCamelCase						):
																		lowerCAmelCase   =		self.esmfold_config.to_dict()
											return output




@dataclass
class 							__UpperCamelCase			:





				'''simple docstring'''



				__a							: Any										=None
				__a							: int										=True
				__a							: Any										=False
				__a							: Optional[int]										=False
				__a							: int										=False
				__a							: int										=0

				__a							: Optional[Any]										=True
				__a							: Union[str, Any]										=False

				__a							: Optional[Any]										=1_2_8
				__a							: int										=None



				def       __snake_case		( self						):
											if self.trunk is None:
																		lowerCAmelCase   =		TrunkConfig()
											elif isinstance(self.trunk       , __lowerCamelCase						):
																		lowerCAmelCase   =		TrunkConfig(**self.trunk						)






				def       __snake_case		( self						):
											lowerCAmelCase   =		asdict(self						)
											lowerCAmelCase   =		self.trunk.to_dict()
											return output




@dataclass
class 							__UpperCamelCase			:





				'''simple docstring'''



				__a							: Union[str, Any]										=4_8
				__a							: List[Any]										=1_0_2_4
				__a							: List[Any]										=1_2_8
				__a							: List[Any]										=3_2
				__a							: int										=3_2
				__a							: Optional[int]										=3_2
				__a							: str										=0
				__a							: Any										=0
				__a							: Optional[Any]										=False
				__a							: Union[str, Any]										=4
				__a							: Dict										=1_2_8
				__a							: Optional[int]										=None



				def       __snake_case		( self						):
											if self.structure_module is None:
																		lowerCAmelCase   =		StructureModuleConfig()
											elif isinstance(self.structure_module       , __lowerCamelCase						):
																		lowerCAmelCase   =		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}."""						)

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




@dataclass
class 							__UpperCamelCase			:





				'''simple docstring'''



				__a							: Optional[int]										=3_8_4
				__a							: Optional[int]										=1_2_8
				__a							: List[Any]										=1_6
				__a							: str										=1_2_8
				__a							: Optional[int]										=1_2
				__a							: Union[str, Any]										=4
				__a							: List[str]										=8
				__a							: int										=0.1
				__a							: int										=8
				__a							: Optional[int]										=1
				__a							: Optional[int]										=2
				__a							: Optional[Any]										=7
				__a							: List[str]										=1_0
				__a							: List[str]										=1e-8
				__a							: Tuple										=1e5



				def       __snake_case		( self						):
											return asdict(self						)




def       UpperCAmelCase       (     ):
							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>",
							)









import math

import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute



def       UpperCAmelCase       (     _snake_case = 3							):
							if isinstance(_snake_case						, _snake_case							):
														raise TypeError('''number of qubits must be a integer.'''							)
							if number_of_qubits <= 0:
														raise ValueError('''number of qubits must be > 0.'''							)
							if math.floor(_snake_case							) != number_of_qubits:
														raise ValueError('''number of qubits must be exact integer.'''							)
							if number_of_qubits > 10:
														raise ValueError('''number of qubits too large to simulate(>10).'''							)

							lowerCAmelCase   =		QuantumRegister(_snake_case						, '''qr'''							)
							lowerCAmelCase   =		ClassicalRegister(_snake_case						, '''cr'''							)

							lowerCAmelCase   =		QuantumCircuit(_snake_case						, _snake_case							)

							lowerCAmelCase   =		number_of_qubits

							for i in range(_snake_case							):
														quantum_circuit.h(number_of_qubits - i - 1							)
														counter -= 1
														for j in range(_snake_case							):
																					quantum_circuit.cp(np.pi / 2 ** (counter - j)						, _snake_case						, _snake_case							)

							for k in range(number_of_qubits // 2							):
														quantum_circuit.swap(_snake_case						, number_of_qubits - k - 1							)

							# measure all the qubits
							quantum_circuit.measure(_snake_case						, _snake_case							)
							# simulate with 10000 shots
							lowerCAmelCase   =		Aer.get_backend('''qasm_simulator'''							)
							lowerCAmelCase   =		execute(_snake_case						, _snake_case						, shots=10000							)

							return job.result().get_counts(_snake_case							)


if __name__ == "__main__":
		print(
		    F'''Total count for quantum fourier transform state is: \
    {quantum_fourier_transform(3)}'''
		)



