"""simple docstring"""
import dataclasses
import re
import string
from typing import Any, Dict, Iterator, List, Mapping, Optional, Sequence, Tuple

import numpy as np

from . import residue_constants


SCREAMING_SNAKE_CASE__					  =     Mapping[str, np.ndarray]
SCREAMING_SNAKE_CASE__					  =     Mapping[str, Any]  # Is a nested dict.
SCREAMING_SNAKE_CASE__					  =     0.01



@dataclasses.dataclass(frozen=lowerCAmelCase_    )
class      lowerCAmelCase_			:



				"""simple docstring"""
				_lowerCAmelCase   :			Dict	     =  42  # [num_res, num_atom_type, 3]

				# Amino-acid type for each residue represented as an integer between 0 and
				# 20, where 20 is 'X'.
				_lowerCAmelCase   :			Optional[Any]	     =  42  # [num_res]

				# Binary float mask to indicate presence of a particular atom. 1.0 if an atom
				# is present and 0.0 if not. This should be used for loss masking.
				_lowerCAmelCase   :			str	     =  42  # [num_res, num_atom_type]

				# Residue index as used in PDB. It is not necessarily continuous or 0-indexed.
				_lowerCAmelCase   :			int	     =  42  # [num_res]

				# B-factors, or temperature factors, of each residue (in sq. angstroms units),
				# representing the displacement of the residue from its ground truth mean
				# value.
				_lowerCAmelCase   :			Tuple	     =  42  # [num_res, num_atom_type]

				# Chain indices for multi-chain predictions
				_lowerCAmelCase   :			Union[str, Any]	     =  None

				# Optional remark about the protein. Included as a comment in output PDB
				# files
				_lowerCAmelCase   :			str	     =  None

				# Templates used to generate this protein (prediction-only)
				_lowerCAmelCase   :			List[Any]	     =  None

				# Chain corresponding to each parent
				_lowerCAmelCase   :			int	     =  None





def       lowerCAmelCase__			(	_UpperCamelCase				: str    )    -> List[Any]:





						"""simple docstring"""






						snake_case	    =	r'(\[[A-Z]+\]\n)'
						snake_case	    =	[tag.strip() for tag in re.split(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE    ) if len(_SCREAMING_SNAKE_CASE    ) > 0]
						snake_case	    =	zip(tags[0::2]       ,	[l.split('\n'    ) for l in tags[1::2]]    )

						snake_case	    =	["N", "CA", "C"]
						snake_case	    =	None
						snake_case	    =	None
						snake_case	    =	None
						for g in groups:
												if "[PRIMARY]" == g[0]:
																		snake_case	    =	g[1][0].strip()
																		for i in range(len(_SCREAMING_SNAKE_CASE    )    ):
																								if seq[i] not in residue_constants.restypes:
																														snake_case	    =	'X'  # FIXME: strings are immutable
																		snake_case	    =	np.array(
																		    [residue_constants.restype_order.get(_SCREAMING_SNAKE_CASE       ,	residue_constants.restype_num    ) for res_symbol in seq]    )
												elif "[TERTIARY]" == g[0]:
																		snake_case	    =	[]
																		for axis in range(3    ):
																								tertiary.append(list(map(_SCREAMING_SNAKE_CASE       ,	g[1][axis].split()    )    )    )
																		snake_case	    =	np.array(_SCREAMING_SNAKE_CASE    )
																		snake_case	    =	np.zeros((len(tertiary[0]    ) // 3, residue_constants.atom_type_num, 3)    ).astype(np.floataa    )
																		for i, atom in enumerate(_SCREAMING_SNAKE_CASE    ):
																								snake_case	    =	np.transpose(tertiary_np[:, i::3]    )
																		atom_positions *= PICO_TO_ANGSTROM
												elif "[MASK]" == g[0]:
																		snake_case	    =	np.array(list(map({'-': 0, '+': 1}.get       ,	g[1][0].strip()    )    )    )
																		snake_case	    =	np.zeros(
																		    (
																		        len(_SCREAMING_SNAKE_CASE    ),
																		        residue_constants.atom_type_num,
																		    )    ).astype(np.floataa    )
																		for i, atom in enumerate(_SCREAMING_SNAKE_CASE    ):
																								snake_case	    =	1
																		atom_mask *= mask[..., None]

						assert aatype is not None

						return Protein(
						    atom_positions=_SCREAMING_SNAKE_CASE       ,	atom_mask=_SCREAMING_SNAKE_CASE       ,	aatype=_SCREAMING_SNAKE_CASE       ,	residue_index=np.arange(len(_SCREAMING_SNAKE_CASE    )    )       ,	b_factors=_SCREAMING_SNAKE_CASE       ,	)





def       lowerCAmelCase__			(	_UpperCamelCase				: Protein       ,	_UpperCamelCase				: int = 0    )    -> Optional[int]:





						"""simple docstring"""






						snake_case	    =	[]

						snake_case	    =	prot.remark
						if remark is not None:
												pdb_headers.append(f"""REMARK {remark}"""    )

						snake_case	    =	prot.parents
						snake_case	    =	prot.parents_chain_index
						if parents is not None and parents_chain_index is not None:
												snake_case	    =	[p for i, p in zip(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE    ) if i == chain_id]

						if parents is None or len(_SCREAMING_SNAKE_CASE    ) == 0:
												snake_case	    =	['N/A']

						pdb_headers.append(f"""PARENT {" ".join(_SCREAMING_SNAKE_CASE    )}"""    )

						return pdb_headers





def       lowerCAmelCase__			(	_UpperCamelCase				: Protein       ,	_UpperCamelCase				: str    )    -> List[Any]:





						"""simple docstring"""






						snake_case	    =	[]
						snake_case	    =	pdb_str.split('\n'    )

						snake_case	    =	prot.remark
						if remark is not None:
												out_pdb_lines.append(f"""REMARK {remark}"""    )

						snake_case	    =	42
						if prot.parents is not None and len(prot.parents    ) > 0:
												snake_case	    =	[]
												if prot.parents_chain_index is not None:
																		snake_case	    =	{}
																		for p, i in zip(prot.parents       ,	prot.parents_chain_index    ):
																								parent_dict.setdefault(str(_SCREAMING_SNAKE_CASE    )       ,	[]    )
																								parent_dict[str(_SCREAMING_SNAKE_CASE    )].append(_SCREAMING_SNAKE_CASE    )

																		snake_case	    =	max([int(_SCREAMING_SNAKE_CASE    ) for chain_idx in parent_dict]    )
																		for i in range(max_idx + 1    ):
																								snake_case	    =	parent_dict.get(str(_SCREAMING_SNAKE_CASE    )       ,	['N/A']    )
																								parents_per_chain.append(_SCREAMING_SNAKE_CASE    )
												else:
																		parents_per_chain.append(list(prot.parents    )    )
						else:
												snake_case	    =	[['N/A']]

						def make_parent_line(_UpperCamelCase				: Sequence[str]    ) -> str:
												return f"""PARENT {" ".join(_SCREAMING_SNAKE_CASE    )}"""

						out_pdb_lines.append(make_parent_line(parents_per_chain[0]    )    )

						snake_case	    =	0
						for i, l in enumerate(_SCREAMING_SNAKE_CASE    ):
												if "PARENT" not in l and "REMARK" not in l:
																		out_pdb_lines.append(_SCREAMING_SNAKE_CASE    )
												if "TER" in l and "END" not in lines[i + 1]:
																		chain_counter += 1
																		if not chain_counter >= len(_SCREAMING_SNAKE_CASE    ):
																								snake_case	    =	parents_per_chain[chain_counter]
																		else:
																								snake_case	    =	['N/A']

																		out_pdb_lines.append(make_parent_line(_SCREAMING_SNAKE_CASE    )    )

						return "\n".join(_SCREAMING_SNAKE_CASE    )





def       lowerCAmelCase__			(	_UpperCamelCase				: Protein    )    -> Optional[int]:





						"""simple docstring"""






						snake_case	    =	residue_constants.restypes + ['X']

						def res_atoa(_UpperCamelCase				: int    ) -> str:
												return residue_constants.restype_atoa.get(restypes[r]       ,	'UNK'    )

						snake_case	    =	residue_constants.atom_types

						snake_case	    =	[]

						snake_case	    =	prot.atom_mask
						snake_case	    =	prot.aatype
						snake_case	    =	prot.atom_positions
						snake_case	    =	prot.residue_index.astype(np.intaa    )
						snake_case	    =	prot.b_factors
						snake_case	    =	prot.chain_index

						if np.any(aatype > residue_constants.restype_num    ):
												raise ValueError('Invalid aatypes.'    )

						snake_case	    =	get_pdb_headers(_SCREAMING_SNAKE_CASE    )
						if len(_SCREAMING_SNAKE_CASE    ) > 0:
												pdb_lines.extend(_SCREAMING_SNAKE_CASE    )

						snake_case	    =	aatype.shape[0]
						snake_case	    =	1
						snake_case	    =	0
						snake_case	    =	string.ascii_uppercase
						snake_case	    =	None
						# Add all atom sites.
						for i in range(_SCREAMING_SNAKE_CASE    ):
												snake_case	    =	res_atoa(aatype[i]    )
												for atom_name, pos, mask, b_factor in zip(_SCREAMING_SNAKE_CASE       ,	atom_positions[i]       ,	atom_mask[i]       ,	b_factors[i]    ):
																		if mask < 0.5:
																								continue

																		snake_case	    =	'ATOM'
																		snake_case	    =	atom_name if len(_SCREAMING_SNAKE_CASE    ) == 4 else f""" {atom_name}"""
																		snake_case	    =	''
																		snake_case	    =	''
																		snake_case	    =	1.00
																		snake_case	    =	atom_name[0]  # Protein supports only C, N, O, S, this works.
																		snake_case	    =	''

																		snake_case	    =	'A'
																		if chain_index is not None:
																								snake_case	    =	chain_tags[chain_index[i]]

																		# PDB is a columnar format, every space matters here!
																		snake_case	    =	(
																		    f"""{record_type:<6}{atom_index:>5} {name:<4}{alt_loc:>1}"""
																		    f"""{res_name_a:>3} {chain_tag:>1}"""
																		    f"""{residue_index[i]:>4}{insertion_code:>1}   """
																		    f"""{pos[0]:>8.3f}{pos[1]:>8.3f}{pos[2]:>8.3f}"""
																		    f"""{occupancy:>6.2f}{b_factor:>6.2f}          """
																		    f"""{element:>2}{charge:>2}"""
																		)
																		pdb_lines.append(_SCREAMING_SNAKE_CASE    )
																		atom_index += 1

												snake_case	    =	i == n - 1
												if chain_index is not None:
																		if i != n - 1 and chain_index[i + 1] != prev_chain_index:
																								snake_case	    =	True
																								snake_case	    =	chain_index[i + 1]

												if should_terminate:
																		# Close the chain.
																		snake_case	    =	'TER'
																		snake_case	    =	(
																		    f"""{chain_end:<6}{atom_index:>5}      {res_atoa(aatype[i]    ):>3} {chain_tag:>1}{residue_index[i]:>4}"""
																		)
																		pdb_lines.append(_SCREAMING_SNAKE_CASE    )
																		atom_index += 1

																		if i != n - 1:
																								# "prev" is a misnomer here. This happens at the beginning of
																								# each new chain.
																								pdb_lines.extend(get_pdb_headers(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE    )    )

						pdb_lines.append('END'    )
						pdb_lines.append(''    )
						return "\n".join(_SCREAMING_SNAKE_CASE    )





def       lowerCAmelCase__			(	_UpperCamelCase				: Protein    )    -> List[str]:





						"""simple docstring"""






						return residue_constants.STANDARD_ATOM_MASK[prot.aatype]





def       lowerCAmelCase__			(	_UpperCamelCase				: FeatureDict       ,	_UpperCamelCase				: ModelOutput       ,	_UpperCamelCase				: Optional[np.ndarray] = None       ,	_UpperCamelCase				: Optional[np.ndarray] = None       ,	_UpperCamelCase				: Optional[str] = None       ,	_UpperCamelCase				: Optional[Sequence[str]] = None       ,	_UpperCamelCase				: Optional[Sequence[int]] = None       ,	)    -> List[Any]:





						"""simple docstring"""






						return Protein(
						    aatype=features['aatype']       ,	atom_positions=result['final_atom_positions']       ,	atom_mask=result['final_atom_mask']       ,	residue_index=features['residue_index'] + 1       ,	b_factors=b_factors if b_factors is not None else np.zeros_like(result['final_atom_mask']    )       ,	chain_index=_SCREAMING_SNAKE_CASE       ,	remark=_SCREAMING_SNAKE_CASE       ,	parents=_SCREAMING_SNAKE_CASE       ,	parents_chain_index=_SCREAMING_SNAKE_CASE       ,	)






'''simple docstring'''



import requests
from bsa import BeautifulSoup






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   str = "https://www.worldometers.info/coronavirus"   ):
					__a			:       List[Any]					    =  BeautifulSoup(requests.get(_SCREAMING_SNAKE_CASE   ).text						,      'html.parser'   )
					__a			:       Union[str, Any]					    =  soup.findAll('h1'   )
					__a			:       int					    =  soup.findAll('div'						,      {'class': 'maincounter-number'}   )
					keys += soup.findAll('span'						,      {'class': 'panel-title'}   )
					values += soup.findAll('div'						,      {'class': 'number-table-main'}   )
					return {key.text.strip(): value.text.strip() for key, value in zip(_SCREAMING_SNAKE_CASE						,      _SCREAMING_SNAKE_CASE   )}


if __name__ == "__main__":
	print('\033[1m' + 'COVID-19 Status of the World' + '\033[0m\n')
	for key, value in world_covidaa_stats().items():
		print(f'''{key}\n{value}\n''')



