
"""simple docstring"""

def     lowercase__						(					lowerCAmelCase				:					list[list[int]] ,				lowerCAmelCase				:					int ,				lowerCAmelCase				:					int ,				lowerCAmelCase				:					list[int] ) ->      bool:






    """simple docstring"""




    if graph[path[curr_ind - 1]][next_ver] == 0:
        return False

    # 2. Validate that next vertex is not already in path
    return not any(vertex == next_ver for vertex in path )




def     lowercase__						(					lowerCAmelCase				:					list[list[int]] ,				lowerCAmelCase				:					list[int] ,				lowerCAmelCase				:					int ) ->      bool:






    """simple docstring"""




    if curr_ind == len(lowerCAmelCase ):
        # return whether path exists between current and starting vertices
        return graph[path[curr_ind - 1]][path[0]] == 1

    # Recursive Step
    for next_ver in range(0 ,				len(lowerCAmelCase ) ):
        if valid_connection(lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ):
            # Insert current vertex  into path as next transition
            UpperCAmelCase									=					next_ver
            # Validate created path
            if util_hamilton_cycle(lowerCAmelCase ,				lowerCAmelCase ,				curr_ind + 1 ):
                return True
            # Backtrack
            UpperCAmelCase									=					-1
    return False







def     lowercase__						(					lowerCAmelCase				:					list[list[int]] ,				lowerCAmelCase				:					int = 0 ) ->      list[int]:






    """simple docstring"""




    UpperCAmelCase									=					[-1] * (len(lowerCAmelCase ) + 1)
    # initialize start and end of path with starting index
    UpperCAmelCase									=					UpperCAmelCase									=					start_index
    # evaluate and if we find answer return path either return empty array
    return path if util_hamilton_cycle(lowerCAmelCase ,				lowerCAmelCase ,				1 ) else []





"""simple docstring"""

from __future__ import annotations

import numpy as np




def     lowercase__						(					lowerCAmelCase				:					list[float] ) ->      Dict:






    """simple docstring"""




    return np.maximum(0 ,				lowerCAmelCase )


if __name__ == "__main__":
   print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]



