



"""simple docstring"""







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				(							UpperCAmelCase_ :       Dict[str, torch.Tensor]     )	-> Dict[str, torch.Tensor]:






	"""simple docstring"""





	A__											=					[]
	A__											=					[]
	A__											=					[]

	for rt in rc.restypes:
		A__											=					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]     )
		A__											=					{name: i for i, name in enumerate(UpperCAmelCase_     )}
		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     )

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

	A__											=					residx_atomaa_mask
	A__											=					residx_atomaa_to_atomaa.long()

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

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

	A__											=					restype_atomaa_mask[protein_aatype]
	A__											=					residx_atomaa_mask

	return protein




def       _lowerCamelCase				(							UpperCAmelCase_ :       Dict[str, torch.Tensor]     )	-> Dict[str, np.ndarray]:






	"""simple docstring"""





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









def        __a			(   __lowerCAmelCase   )     ->     List[str]:
					stooge(__lowerCAmelCase      ,	0      ,	len(__lowerCAmelCase   ) - 1   )
					return arr

def        __a			(   __lowerCAmelCase      ,	__lowerCAmelCase      ,	__lowerCAmelCase   )     ->     int:
					if i >= h:
										return

					# If first element is smaller than the last then swap them
					if arr[i] > arr[h]:
										SCREAMING_SNAKE_CASE					,  SCREAMING_SNAKE_CASE							:     Any						=				arr[h], arr[i]

					# If there are more than 2 elements in the array
					if h - i + 1 > 2:
										SCREAMING_SNAKE_CASE							:     Union[str, Any]						=				(int)((h - i + 1) / 3   )

										# Recursively sort first 2/3 elements
										stooge(__lowerCAmelCase      ,	__lowerCAmelCase      ,	(h - t)   )

										# Recursively sort last 2/3 elements
										stooge(__lowerCAmelCase      ,	i + t      ,	(__lowerCAmelCase)   )

										# Recursively sort first 2/3 elements
										stooge(__lowerCAmelCase      ,	__lowerCAmelCase      ,	(h - t)   )


if __name__ == "__main__":
			_lowerCamelCase    :		List[str]		      =    input("""Enter numbers separated by a comma:\n""").strip()
			_lowerCamelCase    :		List[Any]		      =    [int(item) for item in user_input.split(""",""")]
			print(stooge_sort(unsorted))