| /external/jdiff/src/jdiff/ |
| D | DiffMyers.java | 109 private int diag (int xoff, int xlim, int yoff, int ylim) in diag() argument
116 final int dmax = xlim - yoff; // Maximum valid diagonal. in diag()
118 final int bmid = xlim - ylim; // Center diagonal of bottom-up search. in diag()
126 bd[bdiagoff + bmid] = xlim; in diag()
152 while (x < xlim && y < ylim && xv[x] == yv[y]) { in diag()
246 if ((xlim - bd[bdiagoff + d])*2 + dd > 12 * (c + (dd > 0 ? dd : -dd))) in diag()
248 if ((xlim - bd[bdiagoff + d]) * 2 + dd > best in diag()
249 && xlim - bd[bdiagoff + d] > 20 in diag()
262 best = (xlim - bd[bdiagoff + d]) * 2 + dd; in diag()
288 private void compareseq (int xoff, int xlim, int yoff, int ylim) { in compareseq() argument
[all …]
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| /external/bart/bart/sched/ |
| D | SchedMultiAssert.py | 281 def plot(self, level="cpu", window=None, xlim=None): argument
287 if not xlim:
289 xlim = [0, self._ftrace.get_duration()]
291 xlim = list(window)
297 return trappy.EventPlot(events, names, xlim,
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| D | SchedAssert.py | 647 def plot(self, level="cpu", window=None, xlim=None): argument
653 if not xlim:
655 xlim = [0, self._ftrace.get_duration()]
657 xlim = list(window)
664 return trappy.EventPlot(events, names, xlim,
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| /external/trappy/trappy/ |
| D | plot_utils.py | 60 def set_xlim(ax, xlim): argument
65 set_lim(xlim, ax.get_xlim, ax.set_xlim)
102 def post_plot_setup(ax, title="", xlabel=None, ylabel=None, xlim="default", argument
122 set_xlim(ax, xlim)
177 def plot_hist(data, ax, title, unit, bins, xlabel, xlim, ylim): argument
186 post_plot_setup(ax, title=title, xlabel=xlabel, ylabel="count", xlim=xlim,
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| D | thermal.py | 114 xlim = (0, temps.max())
116 plot_hist(temps, ax, title, "C", 30, "Temperature", xlim, "default")
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| D | ftrace.py | 48 xlim = (0, allfreqs[actor].max())
51 "Frequency", xlim, "default")
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| /external/lisa/libs/utils/analysis/ |
| D | latency_analysis.py | 384 cdf.df.plot(ax=axes, legend=False, xlim=(0,None),
393 xlim=(0,ymax), legend=False,
583 cdf.df.plot(ax=axes, legend=False, xlim=(0,None),
592 xlim=(0,ymax), legend=False,
714 cdf.df.plot(ax=axes, legend=False, xlim=(0,None),
723 xlim=(0,ymax), legend=False,
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| D | eas_analysis.py | 306 plt.xlim(1.1*axes_min, 1.1*axes_max)
348 plt.xlim(1.1*axes_min, 1.1*axes_max)
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| /external/trappy/tests/ |
| D | test_plot_utils.py | 101 plot_utils.post_plot_setup(ax, xlim=(0, 100))
102 plot_utils.post_plot_setup(ax, xlim="default")
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| /external/ltp/testcases/realtime/tools/ |
| D | ftqviz.py | 114 xlim(xmin=-3000, xmax=3000)
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| /external/trappy/doc/ |
| D | InteractivePlotter.ipynb | 302 … plot. One way of fixing it is by limiting the period of time plotted using the `xlim` parameter:"
312 " xlim=(1, 4), # Only between seconds 1 and 4\n",
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| D | Plotter.ipynb | 164 …"It is possible to set the limits of the X and Y axes by means of the `xlim` and `ylim` parameters…
171 "l = trappy.LinePlot(trace1, signals=[\"thermal:temp\"], xlim=(2, 3), ylim=(69000, 70000))\n",
411 "`xlim` can be used to limit the X axes to focus on a given range for both plots:"
423 " xlim=(3.5,5.5))\n",
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