9a7f0304bf18d33825913f522de8a90114d8c5ca,umap/plot.py,,connectivity,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,438

Before Change

            point_img = tf.dynspread(point_img, threshold=0.5, max_px=px_size)
        return tf.stack(edge_img, point_img, how="over")
    else:
        return edge_img


def diagnostic(
        umap_object,

After Change

        result = edge_img

    dpi = plt.rcParams["figure.dpi"]
    fig = plt.figure(figsize=(width / dpi, height / dpi))
    ax = fig.add_subplot(111)

    _embed_datashader_in_an_axis(result, ax)

    ax.set(xticks=[], yticks=[])
    ax.text(0.99,
            0.01,
            "UMAP: n_neighbors={}, min_dist={}".format(umap_object.n_neighbors,
                                                       umap_object.min_dist),
            transform=ax.transAxes,
            horizontalalignment="right")

    return ax


def diagnostic(
        umap_object,

Instances