
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__			(  SCREAMING_SNAKE_CASE_     )				->		Dict[str, torch.Tensor]:
			lowerCAmelCase__      :      str         =		[]
			lowerCAmelCase__      :      Any         =		[]
			lowerCAmelCase__      :      Union[str, Any]         =		[]

			for rt in rc.restypes:
						lowerCAmelCase__      :      int         =		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]     )
						lowerCAmelCase__      :      List[str]         =		{name: i for i, name in enumerate(lowerCamelCase_     )}
						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     )

			lowerCAmelCase__      :      Any         =		torch.tensor(
			    lowerCamelCase_       ,							dtype=torch.intaa       ,							device=protein['aatype'].device       ,							)
			lowerCAmelCase__      :      List[str]         =		torch.tensor(
			    lowerCamelCase_       ,							dtype=torch.intaa       ,							device=protein['aatype'].device       ,							)
			lowerCAmelCase__      :      List[Any]         =		torch.tensor(
			    lowerCamelCase_       ,							dtype=torch.floataa       ,							device=protein['aatype'].device       ,							)
			lowerCAmelCase__      :      Optional[Any]         =		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
			lowerCAmelCase__      :      Union[str, Any]         =		restype_atomaa_to_atomaa[protein_aatype]
			lowerCAmelCase__      :      Any         =		restype_atomaa_mask[protein_aatype]

			lowerCAmelCase__      :      int         =		residx_atomaa_mask
			lowerCAmelCase__      :      List[str]         =		residx_atomaa_to_atomaa.long()

			# create the gather indices for mapping back
			lowerCAmelCase__      :      Any         =		restype_atomaa_to_atomaa[protein_aatype]
			lowerCAmelCase__      :      int         =		residx_atomaa_to_atomaa.long()

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

			lowerCAmelCase__      :      Tuple         =		restype_atomaa_mask[protein_aatype]
			lowerCAmelCase__      :      str         =		residx_atomaa_mask

			return protein







def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_     )				->		Dict[str, np.ndarray]:
			lowerCAmelCase__      :      Union[str, Any]         =		tree_map(lambda SCREAMING_SNAKE_CASE_     : torch.tensor(lowerCamelCase_       ,							device=batch['aatype'].device     )       ,							lowerCamelCase_       ,							np.ndarray     )
			lowerCAmelCase__      :      List[str]         =		tensor_tree_map(lambda SCREAMING_SNAKE_CASE_     : np.array(lowerCamelCase_     )       ,							make_atomaa_masks(lowerCamelCase_     )     )
			return out



import random
from typing import Any



def 				UpperCamelCase_(      lowerCamelCase_ )    ->						list[Any]:
    for _ in range(len(lowerCamelCase_ ) ):
        _lowercase       :							Optional[int]      		=		random.randint(0							, len(lowerCamelCase_ ) - 1 )
        _lowercase       :							str      		=		random.randint(0							, len(lowerCamelCase_ ) - 1 )
        _lowercase		,				_lowercase       :							Optional[int]      		=		data[b], data[a]
    return data


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE       :      str												= [0, 1, 2, 3, 4, 5, 6, 7]
 SCREAMING_SNAKE_CASE       :      int												= ["python", "says", "hello", "!"]
 print("Fisher-Yates Shuffle:")
 print("List", integers, strings)
 print("FY Shuffle", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))


