The function latLngDistanceMeter, present in vincenty.py, accepts two tuples as paramters where each tuple contains the coordinates (latitude,longitude) of a point on the Earth and performs the vincenty calculation.



How can I Develop  a function named buildingDistance that is passed two building IDs and determines the vincenty distance between two building IDs.



def latLngDistanceMeters(point1, point2):
    """
    Vincenty's formula (inverse method) to calculate the distance (in
    kilometers or miles) between two points on the surface of a spheroid

    Doctests:
    >>> vincenty((0.0, 0.0), (0.0, 0.0))  # coincident points
    0.0
    >>> vincenty((0.0, 0.0), (0.0, 1.0))
    111.319491
    >>> vincenty((0.0, 0.0), (1.0, 0.0))
    110.574389
    >>> vincenty((0.0, 0.0), (0.5, 179.5))  # slow convergence
    19936.288579
    >>> vincenty((0.0, 0.0), (0.5, 179.7))  # failure to converge
    >>> boston = (42.3541165, -71.0693514)
    >>> newyork = (40.7791472, -73.9680804)
    >>> vincenty(boston, newyork)
    298.396057
    >>> vincenty(boston, newyork, miles=True)
    185.414657
    """
    import math

    # WGS 84
    a = 6378137  # meters
    f = 1 / 298.257223563
    b = 6356752.314245  # meters; b = (1 - f)a


    MAX_ITERATIONS = 200
    CONVERGENCE_THRESHOLD = 1e-12  # .000,000,000,001
    # short-circuit coincident points
    if point1[0] == point2[0] and point1[1] == point2[1]:
        return 0.0

    U1 = math.atan((1 - f) * math.tan(math.radians(point1[0])))
    U2 = math.atan((1 - f) * math.tan(math.radians(point2[0])))
    L = math.radians(point2[1] - point1[1])
    Lambda = L

    sinU1 = math.sin(U1)
    cosU1 = math.cos(U1)
    sinU2 = math.sin(U2)
    cosU2 = math.cos(U2)

    for iteration in range(MAX_ITERATIONS):
        sinLambda = math.sin(Lambda)
        cosLambda = math.cos(Lambda)
        sinSigma = math.sqrt((cosU2 * sinLambda) ** 2 +
                             (cosU1 * sinU2 - sinU1 * cosU2 * cosLambda) ** 2)
        if sinSigma == 0:
            return 0.0  # coincident points
        cosSigma = sinU1 * sinU2 + cosU1 * cosU2 * cosLambda
        sigma = math.atan2(sinSigma, cosSigma)
        sinAlpha = cosU1 * cosU2 * sinLambda / sinSigma
        cosSqAlpha = 1 - sinAlpha ** 2
        try:
            cos2SigmaM = cosSigma - 2 * sinU1 * sinU2 / cosSqAlpha
        except ZeroDivisionError:
            cos2SigmaM = 0
        C = f / 16 * cosSqAlpha * (4 + f * (4 - 3 * cosSqAlpha))
        LambdaPrev = Lambda
        Lambda = L + (1 - C) * f * sinAlpha * (sigma + C * sinSigma *
                                               (cos2SigmaM + C * cosSigma *
                                                (-1 + 2 * cos2SigmaM ** 2)))
        if abs(Lambda - LambdaPrev) < CONVERGENCE_THRESHOLD:
            break  # successful convergence
    else:
        return None  # failure to converge

    uSq = cosSqAlpha * (a ** 2 - b ** 2) / (b ** 2)
    A = 1 + uSq / 16384 * (4096 + uSq * (-768 + uSq * (320 - 175 * uSq)))
    B = uSq / 1024 * (256 + uSq * (-128 + uSq * (74 - 47 * uSq)))
    deltaSigma = B * sinSigma * (cos2SigmaM + B / 4 * (cosSigma *
                 (-1 + 2 * cos2SigmaM ** 2) - B / 6 * cos2SigmaM *
                 (-3 + 4 * sinSigma ** 2) * (-3 + 4 * cos2SigmaM ** 2)))
    s = b * A * (sigma - deltaSigma)

    return s




umich_buildings = [{
        "address": "1000 Victors Way",
        "id": "1000v",
        "lat": 42.238815,
        "lng": -83.732150,
        "name": "1000 Victors Way"
    },
    {
        "address": "1032 Greene Street Ann Arbor, MI 48109-1402",
        "id": "grn",
        "lat": 42.268264,
        "lng": -83.747851,
        "name": "1032 Greene Building"
    },
    {
        "address": "523 South Division Street Ann Arbor, MI 48104",
        "id": "523di",
        "lat": 42.275507,
        "lng": -83.744046,
        "name": "523 South Division Building"
    }]