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61 lines
2.3 KiB
Python
61 lines
2.3 KiB
Python
$NetBSD: patch-python_aubio_bench_onset.py,v 1.1.1.1 2011/10/06 11:45:48 ryoon Exp $
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* After 2.6, with is reserved and must not be used as variable.
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--- python/aubio/bench/onset.py.orig 2006-07-26 23:27:19.000000000 +0000
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+++ python/aubio/bench/onset.py
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@@ -111,7 +111,7 @@ class benchonset(bench):
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for i in self.vlist:
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gd.append(i['GD'])
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fp.append(i['FP'])
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- d.append(Gnuplot.Data(fp, gd, with='linespoints',
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+ d.append(Gnuplot.Data(fp, gd, with_='linespoints',
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title="%s %s" % (plottitle,i['mode']) ))
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def plotplotroc(self,d,outplot=0,extension='ps'):
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@@ -147,7 +147,7 @@ class benchonset(bench):
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for i in self.vlist:
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x.append(i['prec'])
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y.append(i['recl'])
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- d.append(Gnuplot.Data(x, y, with='linespoints',
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+ d.append(Gnuplot.Data(x, y, with_='linespoints',
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title="%s %s" % (plottitle,i['mode']) ))
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def plotplotpr(self,d,outplot=0,extension='ps'):
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@@ -172,7 +172,7 @@ class benchonset(bench):
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for i in self.vlist:
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x.append(i['thres'])
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y.append(i['dist'])
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- d.append(Gnuplot.Data(x, y, with='linespoints',
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+ d.append(Gnuplot.Data(x, y, with_='linespoints',
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title="%s %s" % (plottitle,i['mode']) ))
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def plotplotfmeas(self,d,outplot="",extension='ps', title="F-measure"):
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@@ -205,7 +205,7 @@ class benchonset(bench):
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for i in self.vlist:
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x.append(i[var])
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y.append(i['dist'])
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- d.append(Gnuplot.Data(x, y, with='linespoints',
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+ d.append(Gnuplot.Data(x, y, with_='linespoints',
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title="%s %s" % (plottitle,i['mode']) ))
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def plotplotfmeasvar(self,d,var,outplot="",extension='ps', title="F-measure"):
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@@ -244,7 +244,7 @@ class benchonset(bench):
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total = v['Torig']
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for i in range(len(per)): per[i] /= total/100.
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- d.append(Gnuplot.Data(val, per, with='fsteps',
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+ d.append(Gnuplot.Data(val, per, with_='fsteps',
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title="%s %s" % (plottitle,v['mode']) ))
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#d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (mean,smean))
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#d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (amean,samean))
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@@ -275,7 +275,7 @@ class benchonset(bench):
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total = v['Torig']
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for i in range(len(per)): per[i] /= total/100.
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- d.append(Gnuplot.Data(val, per, with='fsteps',
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+ d.append(Gnuplot.Data(val, per, with_='fsteps',
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title="%s %s" % (plottitle,v['mode']) ))
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#d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (mean,smean))
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#d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (amean,samean))
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