
    Given a list of paired route metrics where each pair contains travel time and fuel consumption for different delivery segments, find the most efficient route segment by determining which pair produces the lowest efficiency cost when its values are multiplied together. Each pair of metrics represents a potential route choice, and the goal is to identify the segment that minimizes the combined impact of time and fuel usage.
    

    
def min_product_tuple(list1):
    """
    Given a list of paired route metrics where each pair contains travel time and fuel consumption for different delivery segments, find the most efficient route segment by determining which pair produces the lowest efficiency cost when its values are multiplied together. Each pair of metrics represents a potential route choice, and the goal is to identify the segment that minimizes the combined impact of time and fuel usage.
    

    """
def min_product_tuple(list1):
    """
    Given a list of paired route metrics where each pair contains travel time and fuel consumption for different delivery segments, find the most efficient route segment by determining which pair produces the lowest efficiency cost when its values are multiplied together. Each pair of metrics represents a potential route choice, and the goal is to identify the segment that minimizes the combined impact of time and fuel usage.
    

    """
    result_min = min([abs(x * y) for (x, y) in list1])
    return result_min