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plotilleresample\n\nimport math\n\nfrom shutil import get_terminal_size\n\nfrom vtclear import clear_screen\n\nimport numpy as np\n\n\nw = get_terminal_size().columns - 20\nh = get_terminal_size().lines - 7\n\nr = 10000\nres = np.random.normal(size=r)\n\n# Here I'm testing stuffs with histograms.\n# input(\"Histogram:\")\n# print(plotille.histogram(res, bins=w*2, width=w, height=h))\n\nX = [i for i in range(r)]\nY = [math.sin(i / 100) * 100 for i in range(r)]\n\nprint(\" · Scatter...\")\nxs, ys = plotilleresample.dim_reduction_scatter(X, Y, w, h)\nprint(\" · Plot...\")\nxp, yp = plotilleresample.dim_reduction_plot(X, Y, w, h)\nprint(\" --- READY ---\")\n\nprint(f\"Len plot.x {len(xp)}\")\n\nprint(f\"Len scatter.x {len(xs)}\")\n\ninput(\"Plot:\")\nclear_screen()\nprint(plotille.plot(xp, yp, w, h))\n\ninput(\"Scatter:\")\nclear_screen()\nprint(plotille.plot(xs, ys, w, 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