
    Given a nested list of delivery route metrics containing traffic density scores, estimated delivery times, and priority rankings in various formats, create a function that converts all compatible values to floating-point numbers to enable standardized route optimization calculations. The function should process each route's metrics while maintaining the original nested structure and only convert elements that can be validly transformed into float values.
    

    
def list_to_float(test_list):
    """
    Given a nested list of delivery route metrics containing traffic density scores, estimated delivery times, and priority rankings in various formats, create a function that converts all compatible values to floating-point numbers to enable standardized route optimization calculations. The function should process each route's metrics while maintaining the original nested structure and only convert elements that can be validly transformed into float values.
    

    """
def list_to_float(test_list):
    """
    Given a nested list of delivery route metrics containing traffic density scores, estimated delivery times, and priority rankings in various formats, create a function that converts all compatible values to floating-point numbers to enable standardized route optimization calculations. The function should process each route's metrics while maintaining the original nested structure and only convert elements that can be validly transformed into float values.
    

    """
    res = []
    for tup in test_list:
        temp = []
        for ele in tup:
            if ele.isalpha():
                temp.append(ele)
            else:
                temp.append(float(ele))
        res.append((temp[0], temp[1]))
    return res