From e2f9a87794443bfe61f896bcbe460656cf63827e Mon Sep 17 00:00:00 2001 From: linlin Date: Tue, 6 Oct 2020 17:25:22 +0200 Subject: [PATCH] New translations draw_datasize_vs_chunksize.py (Chinese Simplified) --- .../notebooks/utils/draw_datasize_vs_chunksize.py | 77 ++++++++++++++++++++++ 1 file changed, 77 insertions(+) create mode 100644 lang/zh/notebooks/utils/draw_datasize_vs_chunksize.py diff --git a/lang/zh/notebooks/utils/draw_datasize_vs_chunksize.py b/lang/zh/notebooks/utils/draw_datasize_vs_chunksize.py new file mode 100644 index 0000000..79da4c7 --- /dev/null +++ b/lang/zh/notebooks/utils/draw_datasize_vs_chunksize.py @@ -0,0 +1,77 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +Draw data size v.s. chunksize. +Created on Mon Oct 8 12:00:45 2018 + +@author: ljia +""" +import numpy as np +import matplotlib.pyplot as plt + +def loadmin(file): + result = np.load(file) + return np.argmin(result), np.min(result), result + +def idx2chunksize(idx): + if idx < 9: + return idx * 10 + 10 + elif idx < 18: + return (idx - 8) * 100 + elif idx < 27: + return (idx - 17) * 1000 + else: + return (idx - 26) * 10000 + +def idx2chunksize2(idx): + if idx < 5: + return idx * 20 + 10 + elif idx < 10: + return (idx - 5) * 200 + 100 + elif idx < 15: + return (idx - 10) * 2000 + 1000 + else: + return (idx - 15) * 20000 * 10000 + +idx, mrlt, rlt = loadmin('../test_parallel/myria/ENZYMES.npy') +csize = idx2chunksize2(idx) + +#dsize = np.array([183, 150, 68, 94, 188, 2250, 600]) +dsize = np.array([183, 150, 68, 94, 188, 2250]) +dsize = dsize * (dsize + 1) / 2 +#cs_sp_laptop = [900, 400, 70, 900, 2000, 8000, 300] +#cs_sp_myria = [900, 500, 500, 300, 400, 4000, 300] +cs_sp_laptop = [900, 400, 70, 900, 2000, 8000] +cs_sp_myria = [900, 500, 500, 300, 400, 4000] +cd_ssp_laptop = [500, 700, 500, 70, 3000, 3000] +cd_ssp_myria = [100, 90, 700, 30, 3000, 5000] + +cs_sp_laptop = [x for _, x in sorted(zip(dsize, cs_sp_laptop))] +cs_sp_myria = [x for _, x in sorted(zip(dsize, cs_sp_myria))] +cd_ssp_laptop = [x for _, x in sorted(zip(dsize[0:6], cd_ssp_laptop))] +cd_ssp_myria = [x for _, x in sorted(zip(dsize[0:6], cd_ssp_myria))] +dsize.sort() +cd_mean = np.mean([cs_sp_laptop[0:6], cs_sp_myria[0:6], cd_ssp_laptop, cd_ssp_myria], + axis=0) +#np.append(cd_mean, [6000]) + +fig, ax = plt.subplots() +##p1 = ax.plot(dsize, cs_sp_laptop, 'o-', label='sp laptop') +#p2 = ax.plot(dsize, cs_sp_myria, 'o-', label='sp CRIANN') +##p3 = ax.plot(dsize[0:6], cd_ssp_laptop, 'o-', label='ssp laptop') +#p4 = ax.plot(dsize[0:6], cd_ssp_myria, 'o-', label='ssp CRIANN') +#p5 = ax.plot(dsize[0:6], cd_mean, 'o-', label='mean') + +#p1 = ax.plot(dsize[0:5], cs_sp_laptop[0:5], 'o-', label='sp laptop') +p2 = ax.plot(dsize[0:5], cs_sp_myria[0:5], 'o-', label='sp CRIANN') +#p3 = ax.plot(dsize[0:5], cd_ssp_laptop[0:5], 'o-', label='ssp laptop') +p4 = ax.plot(dsize[0:5], cd_ssp_myria[0:5], 'o-', label='ssp CRIANN') +p5 = ax.plot(dsize[0:5], cd_mean[0:5], 'o-', label='mean') + + +#ax.set_xscale('log', nonposx='clip') +#ax.set_yscale('log', nonposy='clip') +ax.set_xlabel('data sizes') +ax.set_ylabel('chunksizes for the fastest computation') +ax.legend(loc='upper left') +plt.show() \ No newline at end of file