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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 vector_analysis(vector, coordinates, elements_vdw, increment=1.0):
 """Analyse a sampling vector's path for window analysis purpose."""

    # Calculate number of chunks if vector length is divided by increment.
    chunks = int(np.linalg.norm(vector) // increment)
    # Create a single chunk.
    chunk = vector / chunks
    # Calculate set of points on vector's path every increment.
    vector_pathway = np.array([chunk * i for i in range(chunks + 1)])
    analysed_vector = np.array([
        np.amin(
            euclidean_distances(coordinates, i.reshape(1, -1)) - elements_vdw)
        for i in vector_pathway
    ])
    if all(i > 0 for i in analysed_vector):
        pos = np.argmin(analysed_vector)
        # As first argument we need to give the distance from the origin.
        dist = np.linalg.norm(chunk * pos)
        return np.array(
            [dist, analysed_vector[pos] * 2, *chunk * pos, *vector])