
import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


__lowerCAmelCase    :	int						=						logging.get_logger(__name__)


class   __lowerCAmelCase		:



      """simple docstring"""







      A__		:	Optional[int]         =			None






@experimental
def 			UpperCAmelCase_     (  __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		)       ->  Dict:






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

    return _map_with_joblib(_snake_case		,    _snake_case		,    _snake_case		,    _snake_case		,    _snake_case		,    _snake_case		,    _snake_case		)


def 			UpperCAmelCase_     (  __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		)       ->  int:
    __lowercase						:	str					=				num_proc if num_proc <= len(_snake_case		) else len(_snake_case		)
    __lowercase						:	Union[str, Any]					=				[]  # We organize the splits ourselve (contiguous splits)
    for index in range(_snake_case		):
        __lowercase						:	Any					=				len(_snake_case		) // num_proc
        __lowercase						:	Optional[int]					=				len(_snake_case		) % num_proc
        __lowercase						:	Any					=				div * index + min(_snake_case		,    _snake_case		)
        __lowercase						:	Dict					=				start + div + (1 if index < mod else 0)
        split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc)		)

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

    logger.info(
        F'Spawning {num_proc} processes for {len(_snake_case		)} objects in slices of {[len(i[1]		) for i in split_kwds]}'		)
    __lowercase			,					__lowercase						:	str					=				None, None
    if not disable_tqdm:
        __lowercase			,					__lowercase						:	List[Any]					=				(RLock(),), tqdm.set_lock
    with Pool(_snake_case		,    initargs=_snake_case		,    initializer=_snake_case		) as pool:
        __lowercase						:	Optional[Any]					=				pool.map(_snake_case		,    _snake_case		)
    logger.info(F'Finished {num_proc} processes'		)
    __lowercase						:	int					=				[obj for proc_res in mapped for obj in proc_res]
    logger.info(F'Unpacked {len(_snake_case		)} objects'		)

    return mapped


def 			UpperCAmelCase_     (  __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		,    __lowerCAmelCase		)       ->  Tuple:
    import joblib

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





@experimental
@contextlib.contextmanager
def 			UpperCAmelCase_     (  __lowerCAmelCase		)       ->  Optional[Any]:
    __lowercase						:	List[str]					=				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:
        __lowercase						:	Any					=				None





# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.






def        UpperCamelCase_(							_snake_case   :  Tuple	):




			"""simple docstring"""






			__a        =[False] * len(_snake_case	)
			__a        =[-1] * len(_snake_case	)

			def dfs(_snake_case   :  Dict       ,     _snake_case   :  Any	):
						__a        =True
						__a        =c
						for u in graph[v]:
									if not visited[u]:
												dfs(_snake_case       ,     1 - c	)

			for i in range(len(_snake_case	)	):
						if not visited[i]:
									dfs(_snake_case       ,     0	)

			for i in range(len(_snake_case	)	):
						for j in graph[i]:
									if color[i] == color[j]:
												return False

			return True


# Adjacency list of graph
_lowerCAmelCase					:			int  				=			{0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}


print(check_bipartite_dfs(graph))






