






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 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase      )			->     Optional[int]:
					UpperCamelCase__      :       List[str]	    =  []
					UpperCamelCase__      :       Any	    =  []
					UpperCamelCase__      :       List[Any]	    =  []

					for rt in rc.restypes:
										UpperCamelCase__      :       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]      )
										UpperCamelCase__      :       Optional[int]	    =  {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      )

					UpperCamelCase__      :       Optional[Any]	    =  torch.tensor(
					    a__ ,   dtype=torch.intaa ,   device=protein["aatype"].device ,   )
					UpperCamelCase__      :       Dict	    =  torch.tensor(
					    a__ ,   dtype=torch.intaa ,   device=protein["aatype"].device ,   )
					UpperCamelCase__      :       str	    =  torch.tensor(
					    a__ ,   dtype=torch.floataa ,   device=protein["aatype"].device ,   )
					UpperCamelCase__      :       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
					UpperCamelCase__      :       Dict	    =  restype_atomaa_to_atomaa[protein_aatype]
					UpperCamelCase__      :       int	    =  restype_atomaa_mask[protein_aatype]

					UpperCamelCase__      :       List[Any]	    =  residx_atomaa_mask
					UpperCamelCase__      :       Any	    =  residx_atomaa_to_atomaa.long()

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

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

					UpperCamelCase__      :       str	    =  restype_atomaa_mask[protein_aatype]
					UpperCamelCase__      :       Union[str, Any]	    =  residx_atomaa_mask

					return protein







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase      )			->     int:
					UpperCamelCase__      :       str	    =  tree_map(lambda __lowerCAmelCase      : torch.tensor(a__ ,   device=batch["aatype"].device      ) ,   a__ ,   np.ndarray      )
					UpperCamelCase__      :       int	    =  tensor_tree_map(lambda __lowerCAmelCase      : np.array(a__      ) ,   make_atomaa_masks(a__      )      )
					return out







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase      )			->     list:
     UpperCamelCase__      :       Tuple	    =  False
     while is_sorted is False:  # Until all the indices are traversed keep looping
          UpperCamelCase__      :       Tuple	    =  True
          for i in range(0 ,   len(__lowerCAmelCase      ) - 1 ,   2      ):  # iterating over all even indices
               if input_list[i] > input_list[i + 1]:
                    UpperCamelCase__    ,					UpperCamelCase__      :       Dict	    =  input_list[i + 1], input_list[i]
                    # swapping if elements not in order
                    UpperCamelCase__      :       List[str]	    =  False

          for i in range(1 ,   len(__lowerCAmelCase      ) - 1 ,   2      ):  # iterating over all odd indices
               if input_list[i] > input_list[i + 1]:
                    UpperCamelCase__    ,					UpperCamelCase__      :       Optional[int]	    =  input_list[i + 1], input_list[i]
                    # swapping if elements not in order
                    UpperCamelCase__      :       List[Any]	    =  False
     return input_list


if __name__ == "__main__":
 print('''Enter list to be sorted''')
 lowerCamelCase     :							Any    =[int(x) for x in input().split()]
 # inputing elements of the list in one line
 lowerCamelCase     :							Optional[int]    =odd_even_sort(input_list)
 print('''The sorted list is''')
 print(sorted_list)