






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			(		snake_case__		)							->  List[str]:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE	      =  []
						_SCREAMING_SNAKE_CASE	      =  []
						_SCREAMING_SNAKE_CASE	      =  []

						for rt in rc.restypes:
												_SCREAMING_SNAKE_CASE	      =  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]		)
												_SCREAMING_SNAKE_CASE	      =  {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		)

						_SCREAMING_SNAKE_CASE	      =  torch.tensor(
						    __lowerCAmelCase       ,dtype=torch.intaa       ,device=protein["""aatype"""].device       ,)
						_SCREAMING_SNAKE_CASE	      =  torch.tensor(
						    __lowerCAmelCase       ,dtype=torch.intaa       ,device=protein["""aatype"""].device       ,)
						_SCREAMING_SNAKE_CASE	      =  torch.tensor(
						    __lowerCAmelCase       ,dtype=torch.floataa       ,device=protein["""aatype"""].device       ,)
						_SCREAMING_SNAKE_CASE	      =  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
						_SCREAMING_SNAKE_CASE	      =  restype_atomaa_to_atomaa[protein_aatype]
						_SCREAMING_SNAKE_CASE	      =  restype_atomaa_mask[protein_aatype]

						_SCREAMING_SNAKE_CASE	      =  residx_atomaa_mask
						_SCREAMING_SNAKE_CASE	      =  residx_atomaa_to_atomaa.long()

						# create the gather indices for mapping back
						_SCREAMING_SNAKE_CASE	      =  restype_atomaa_to_atomaa[protein_aatype]
						_SCREAMING_SNAKE_CASE	      =  residx_atomaa_to_atomaa.long()

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

						_SCREAMING_SNAKE_CASE	      =  restype_atomaa_mask[protein_aatype]
						_SCREAMING_SNAKE_CASE	      =  residx_atomaa_mask

						return protein




def        __lowerCamelCase			(		snake_case__		)							->  Tuple:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE	      =  tree_map(lambda snake_case__		: torch.tensor(__lowerCAmelCase       ,device=batch["""aatype"""].device		)       ,__lowerCAmelCase       ,np.ndarray		)
						_SCREAMING_SNAKE_CASE	      =  tensor_tree_map(lambda snake_case__		: np.array(__lowerCAmelCase		)       ,make_atomaa_masks(__lowerCAmelCase		)		)
						return out





import os
import random
import sys

from . import cryptomath_module as cryptoMath  # noqa: N812
from . import rabin_miller as rabinMiller  # noqa: N812






def 							__lowercase   ( ):
							print('Making key files...'   )
							make_key_files('rsa'					,    1_0_2_4   )
							print('Key files generation successful.'   )






def 							__lowercase   ( __lowerCAmelCase							:				int   ):
							print('Generating prime p...'   )
							a__             =     rabinMiller.generate_large_prime(__lowerCAmelCase   )
							print('Generating prime q...'   )
							a__             =     rabinMiller.generate_large_prime(__lowerCAmelCase   )
							a__             =     p * q

							print('Generating e that is relatively prime to (p - 1) * (q - 1)...'   )
							while True:
														a__             =     random.randrange(2 ** (key_size - 1)					,    2 ** (key_size)   )
														if cryptoMath.gcd(__lowerCAmelCase					,    (p - 1) * (q - 1)   ) == 1:
																					break

							print('Calculating d that is mod inverse of e...'   )
							a__             =     cryptoMath.find_mod_inverse(__lowerCAmelCase					,    (p - 1) * (q - 1)   )

							a__             =     (n, e)
							a__             =     (n, d)
							return (public_key, private_key)






def 							__lowercase   ( __lowerCAmelCase							:				str					,    __lowerCAmelCase							:				int   ):
							if os.path.exists(F'{name}_pubkey.txt'   ) or os.path.exists(F'{name}_privkey.txt'   ):
														print('\nWARNING:'   )
														print(
														    F'"{name}_pubkey.txt" or "{name}_privkey.txt" already exists. \n'
														    'Use a different name or delete these files and re-run this program.'   )
														sys.exit()

							a__      ,					a__             =     generate_key(__lowerCAmelCase   )
							print(F'\nWriting public key to file {name}_pubkey.txt...'   )
							with open(F'{name}_pubkey.txt'					,    'w'   ) as out_file:
														out_file.write(F'{key_size},{public_key[0]},{public_key[1]}'   )

							print(F'Writing private key to file {name}_privkey.txt...'   )
							with open(F'{name}_privkey.txt'					,    'w'   ) as out_file:
														out_file.write(F'{key_size},{private_key[0]},{private_key[1]}'   )


if __name__ == "__main__":
						main()




