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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def dimap(D, I):
 """ Function to map directions to x,y pairs in equal area projection Parameters D : list or array of declinations (as float) I : list or array or inclinations (as float) Returns ------- XY : x, y values of directions for equal area projection [x,y] """

    try:
        D = float(D)
        I = float(I)
    except TypeError:  # is an array
        return dimap_V(D, I)
# DEFINE FUNCTION VARIABLES
    # initialize equal area projection x,y
    XY = [0., 0.]

# GET CARTESIAN COMPONENTS OF INPUT DIRECTION
    X = dir2cart([D, I, 1.])

# CHECK IF Z = 1 AND ABORT
    if X[2] == 1.0:
        return XY                       # return [0,0]

# TAKE THE ABSOLUTE VALUE OF Z
    if X[2] < 0:
        # this only works on lower hemisphere projections
        X[2] = -X[2]

# CALCULATE THE X,Y COORDINATES FOR THE EQUAL AREA PROJECTION
    # from Collinson 1983
    R = old_div(np.sqrt(1. - X[2]), (np.sqrt(X[0]**2 + X[1]**2)))
    XY[1], XY[0] = X[0] * R, X[1] * R

# RETURN XY[X,Y]
    return XY