






import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


lowerCamelCase_				: List[str]    	=							logging.get_logger(__name__)
class    _SCREAMING_SNAKE_CASE							:


			'''simple docstring'''





			__a							:							List[Any]					     =					None







@experimental
def 	__magic_name__( _A						,      _A						,      _A						,      _A						,      _A						,      _A						,      _A					):
						'''simple docstring'''





						if ParallelBackendConfig.backend_name is None:
												return _map_with_multiprocessing_pool(
												    _A						,      _A						,      _A						,      _A						,      _A						,      _A						,      _A					)

						return _map_with_joblib(_A						,      _A						,      _A						,      _A						,      _A						,      _A						,      _A					)







def 	__magic_name__( _A						,      _A						,      _A						,      _A						,      _A						,      _A						,      _A					):
						'''simple docstring'''





						UpperCamelCase__         = num_proc if num_proc <= len(_A					) else len(_A					)
						UpperCamelCase__         = []  # We organize the splits ourselve (contiguous splits)
						for index in range(_A					):
												UpperCamelCase__         = len(_A					) // num_proc
												UpperCamelCase__         = len(_A					) % num_proc
												UpperCamelCase__         = div * index + min(_A						,      _A					)
												UpperCamelCase__         = start + div + (1 if index < mod else 0)
												split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc)					)

						if len(_A					) != sum(len(i[1]					) for i in split_kwds					):
												raise ValueError(
												    f"Error dividing inputs iterable among processes. "
												    f"Total number of objects {len(_A					)}, "
												    f"length: {sum(len(i[1]					) for i in split_kwds					)}"					)

						logger.info(
						    f"Spawning {num_proc} processes for {len(_A					)} objects in slices of {[len(i[1]					) for i in split_kwds]}"					)
						UpperCamelCase__    ,   UpperCamelCase__         = None, None
						if not disable_tqdm:
												UpperCamelCase__    ,   UpperCamelCase__         = (RLock(),), tqdm.set_lock
						with Pool(_A						,      initargs=_A						,      initializer=_A					) as pool:
												UpperCamelCase__         = pool.map(_A						,      _A					)
						logger.info(f"Finished {num_proc} processes"					)
						UpperCamelCase__         = [obj for proc_res in mapped for obj in proc_res]
						logger.info(f"Unpacked {len(_A					)} objects"					)

						return mapped







def 	__magic_name__( _A						,      _A						,      _A						,      _A						,      _A						,      _A						,      _A					):
						'''simple docstring'''





						import joblib

						with joblib.parallel_backend(ParallelBackendConfig.backend_name						,      n_jobs=_A					):
												return joblib.Parallel()(
												    joblib.delayed(_A					)((function, obj, types, None, True, None)					) for obj in iterable					)







@experimental
@contextlib.contextmanager
def 	__magic_name__( _A					):
						'''simple docstring'''





						UpperCamelCase__         = backend_name

						if backend_name == "spark":
												from joblibspark import register_spark

												register_spark()

												# TODO: call create_cache_and_write_probe if "download" in steps
												# TODO: raise NotImplementedError when Dataset.map etc is called

						try:
												yield
						finally:
												UpperCamelCase__         = None








'''simple docstring'''


from __future__ import annotations

from typing import Any
class    _SCREAMING_SNAKE_CASE							:


			'''simple docstring'''





			def __init__(   self							:						Union[str, Any] ,      lowercase							:						int			)							->    None:

									'''simple docstring'''







									UpperCamelCase__         = num_of_nodes
									UpperCamelCase__         = []
									UpperCamelCase__         = {}






			def 				A      (   self							:						Optional[Any] ,      lowercase							:						int ,      lowercase							:						int ,      lowercase							:						int			)							->    None:

									'''simple docstring'''







									self.m_edges.append([u_node, v_node, weight]			)






			def 				A      (   self							:						str ,      lowercase							:						int			)							->    int:

									'''simple docstring'''







									if self.m_component[u_node] == u_node:
															return u_node
									return self.find_component(self.m_component[u_node]			)






			def 				A      (   self							:						Union[str, Any] ,      lowercase							:						int			)							->    None:

									'''simple docstring'''







									if self.m_component[u_node] != u_node:
															for k in self.m_component:
																					UpperCamelCase__         = self.find_component(lowercase			)






			def 				A      (   self							:						Tuple ,      lowercase							:						list[int] ,      lowercase							:						int ,      lowercase							:						int			)							->    None:

									'''simple docstring'''







									if component_size[u_node] <= component_size[v_node]:
															UpperCamelCase__         = v_node
															component_size[v_node] += component_size[u_node]
															self.set_component(lowercase			)

									elif component_size[u_node] >= component_size[v_node]:
															UpperCamelCase__         = self.find_component(lowercase			)
															component_size[u_node] += component_size[v_node]
															self.set_component(lowercase			)







			def 				A      (   self							:						int			)							->    None:

									'''simple docstring'''







									UpperCamelCase__         = []
									UpperCamelCase__         = 0

									UpperCamelCase__         = [-1] * self.m_num_of_nodes

									# A list of components (initialized to all of the nodes)
									for node in range(self.m_num_of_nodes			):
															self.m_component.update({node: node}			)
															component_size.append(1			)

									UpperCamelCase__         = self.m_num_of_nodes

									while num_of_components > 1:
															for edge in self.m_edges:
																					UpperCamelCase__    ,   UpperCamelCase__    ,   UpperCamelCase__         = edge

																					UpperCamelCase__         = self.m_component[u]
																					UpperCamelCase__         = self.m_component[v]

																					if u_component != v_component:

																											for component in (u_component, v_component):
																																	if (
																																	    minimum_weight_edge[component] == -1
																																	    or minimum_weight_edge[component][2] > w
																																	):
																																							UpperCamelCase__         = [u, v, w]

															for edge in minimum_weight_edge:
																					if isinstance(lowercase ,      lowercase			):
																											UpperCamelCase__    ,   UpperCamelCase__    ,   UpperCamelCase__         = edge

																											UpperCamelCase__         = self.m_component[u]
																											UpperCamelCase__         = self.m_component[v]

																											if u_component != v_component:
																																	mst_weight += w
																																	self.union(lowercase ,      lowercase ,      lowercase			)
																																	print(f"Added edge [{u} - {v}]\nAdded weight: {w}\n"			)
																																	num_of_components -= 1

															UpperCamelCase__         = [-1] * self.m_num_of_nodes
									print(f"The total weight of the minimal spanning tree is: {mst_weight}"			)







def 	__magic_name__( ):
						'''simple docstring'''







if __name__ == "__main__":
					import doctest

					doctest.testmod()
