






from typing import Dict

import numpy as np
import torch

from . import residue_constants as rc
from .tensor_utils import tensor_tree_map, tree_map

def      lowerCAmelCase__	(    _a       :			Dict[str, torch.Tensor]    ):
		snake_case_				:							Tuple						 =       []
		snake_case_				:							int						 =       []
		snake_case_				:							Optional[Any]						 =       []

		for rt in rc.restypes:
				snake_case_				:							Dict						 =       rc.restype_name_to_atomaa_names[rc.restype_atoa[rt]]
				restype_atomaa_to_atomaa_list.append([(rc.atom_order[name] if name else 0) for name in atom_names]    )
				snake_case_				:							Union[str, Any]						 =       {name: i for i, name in enumerate(_a    )}
				restype_atomaa_to_atomaa_list.append(
				    [(atom_name_to_idxaa[name] if name in atom_name_to_idxaa else 0) for name in rc.atom_types]    )

				restype_atomaa_mask_list.append([(1.0 if name else 0.0) for name in atom_names]    )

		# Add dummy mapping for restype 'UNK'
		restype_atomaa_to_atomaa_list.append([0] * 14    )
		restype_atomaa_to_atomaa_list.append([0] * 37    )
		restype_atomaa_mask_list.append([0.0] * 14    )

		snake_case_				:							Tuple						 =       torch.tensor(
		    _a  ,      dtype=torch.intaa  ,      device=protein["aatype"].device  ,      )
		snake_case_				:							str						 =       torch.tensor(
		    _a  ,      dtype=torch.intaa  ,      device=protein["aatype"].device  ,      )
		snake_case_				:							List[Any]						 =       torch.tensor(
		    _a  ,      dtype=torch.floataa  ,      device=protein["aatype"].device  ,      )
		snake_case_				:							int						 =       protein["aatype"].to(torch.long    )

		# create the mapping for (residx, atom14) --> atom37, i.e. an array
		# with shape (num_res, 14) containing the atom37 indices for this protein
		snake_case_				:							int						 =       restype_atomaa_to_atomaa[protein_aatype]
		snake_case_				:							int						 =       restype_atomaa_mask[protein_aatype]

		snake_case_				:							Union[str, Any]						 =       residx_atomaa_mask
		snake_case_				:							Tuple						 =       residx_atomaa_to_atomaa.long()

		# create the gather indices for mapping back
		snake_case_				:							List[str]						 =       restype_atomaa_to_atomaa[protein_aatype]
		snake_case_				:							Optional[Any]						 =       residx_atomaa_to_atomaa.long()

		# create the corresponding mask
		snake_case_				:							Dict						 =       torch.zeros([21, 37]  ,      dtype=torch.floataa  ,      device=protein["aatype"].device    )
		for restype, restype_letter in enumerate(rc.restypes    ):
				snake_case_				:							Dict						 =       rc.restype_atoa[restype_letter]
				snake_case_				:							int						 =       rc.residue_atoms[restype_name]
				for atom_name in atom_names:
						snake_case_				:							List[str]						 =       rc.atom_order[atom_name]
						snake_case_				:							Optional[Any]						 =       1

		snake_case_				:							Optional[Any]						 =       restype_atomaa_mask[protein_aatype]
		snake_case_				:							Optional[int]						 =       residx_atomaa_mask

		return protein







def      lowerCAmelCase__	(    _a       :			Dict[str, torch.Tensor]    ):
		snake_case_				:							str						 =       tree_map(lambda _a    : torch.tensor(_a  ,      device=batch["aatype"].device    )  ,      _a  ,      np.ndarray    )
		snake_case_				:							Optional[Any]						 =       tensor_tree_map(lambda _a    : np.array(_a    )  ,      make_atomaa_masks(_a    )    )
		return out








import math

def      lowerCAmelCase__	(    _a       :			int    ):

		if 1 < number < 4:
				# 2 and 3 are primes
				return True
		elif number < 2 or number % 2 == 0 or number % 3 == 0:
				# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
				return False

		# All primes number are in format of 6k +/- 1
		for i in range(5  ,      int(math.sqrt(_a    ) + 1    )  ,      6    ):
				if number % i == 0 or number % (i + 2) == 0:
						return False
		return True

def      lowerCAmelCase__	(    _a       :			float = 0.1    ):
		snake_case_				:							int						 =       3
		snake_case_				:							Optional[Any]						 =       3

		while primes / (2 * j - 1) >= ratio:
				for i in range(j * j + j + 1  ,      (j + 2) * (j + 2)  ,      j + 1    ):
						primes += is_prime(_a    )
				j += 2
		return j


if __name__ == "__main__":
							import doctest

							doctest.testmod()
