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







  """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(__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			)

  SCREAMING_SNAKE_CASE__    							=   torch.tensor(
      __UpperCamelCase				,  dtype=torch.intaa				,  device=protein["""aatype"""].device				,  )
  SCREAMING_SNAKE_CASE__    							=   torch.tensor(
      __UpperCamelCase				,  dtype=torch.intaa				,  device=protein["""aatype"""].device				,  )
  SCREAMING_SNAKE_CASE__    							=   torch.tensor(
      __UpperCamelCase				,  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 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Dict[str, torch.Tensor]			)							->      Dict[str, np.ndarray]:







  """simple docstring"""





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

import enum
import shutil
import sys


__lowerCamelCase     ,		__lowerCamelCase    :				Optional[Any]							     =	shutil.get_terminal_size()

__lowerCamelCase    :				Any							     =	{'''UP''': '''A''', '''DOWN''': '''B''', '''RIGHT''': '''C''', '''LEFT''': '''D'''}







class __snake_case       (		enum.Enum	):
   lowerCAmelCase_														=							0
   lowerCAmelCase_														=							1





def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Optional[int]				,  __UpperCamelCase					: List[str]=""			)							->      int:







  """simple docstring"""





  sys.stdout.write(str(__UpperCamelCase			) + end			)
  sys.stdout.flush()



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: Optional[int]				,  __UpperCamelCase					: List[str]				,  __UpperCamelCase					: Optional[Any]=""			)							->      Dict:







  """simple docstring"""





  forceWrite(f"""\u001b[{color}m{content}\u001b[0m"""				,  __UpperCamelCase			)



def 			__SCREAMING_SNAKE_CASE						(      )							->      Optional[Any]:







  """simple docstring"""





  forceWrite("""\r"""			)



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: int				,  __UpperCamelCase					: str			)							->      str:







  """simple docstring"""





  forceWrite(f"""\033[{num_lines}{CURSOR_TO_CHAR[direction.upper()]}"""			)



def 			__SCREAMING_SNAKE_CASE						(      )							->      Dict:







  """simple docstring"""





  forceWrite(""" """ * TERMINAL_WIDTH			)
  reset_cursor()






def 			__SCREAMING_SNAKE_CASE						(      )							->      int:







  """simple docstring"""





  reset_cursor()
  forceWrite("""-""" * TERMINAL_WIDTH			)
