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authorAlexis Ballier <aballier@gentoo.org>2015-11-01 11:17:23 +0100
committerAlexis Ballier <aballier@gentoo.org>2015-11-01 11:17:23 +0100
commit14bbc6a2259790692bec61a3d886a887e4752a02 (patch)
tree36b24a53d690fce5b469dfaca92dff565cafdcd8 /media-libs/aubio/files
parentMerge remote-tracking branch 'github/pr/268' (diff)
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media-libs/aubio: remove old.
Package-Manager: portage-2.2.23
Diffstat (limited to 'media-libs/aubio/files')
-rw-r--r--media-libs/aubio/files/aubio-0.3.2-multilib.patch11
-rw-r--r--media-libs/aubio/files/aubio-0.3.2-numarray-gnuplot.patch332
2 files changed, 0 insertions, 343 deletions
diff --git a/media-libs/aubio/files/aubio-0.3.2-multilib.patch b/media-libs/aubio/files/aubio-0.3.2-multilib.patch
deleted file mode 100644
index 7464fad6cacb..000000000000
--- a/media-libs/aubio/files/aubio-0.3.2-multilib.patch
+++ /dev/null
@@ -1,11 +0,0 @@
---- python/aubio/Makefile.am
-+++ python/aubio/Makefile.am
-@@ -68,7 +68,7 @@
- -L$(top_builddir)/ext -laubioext \
- -L$(top_builddir)/src -laubio
-
--pkgpython_LTLIBRARIES = _aubiowrapper.la
-+pkgpyexec_LTLIBRARIES = _aubiowrapper.la
-
- _aubiowrapper_la_LDFLAGS = -module -avoid-version $(AUBIO_LDFLAGS)
- _aubiowrapper_la_SOURCES = aubio_wrap.c
diff --git a/media-libs/aubio/files/aubio-0.3.2-numarray-gnuplot.patch b/media-libs/aubio/files/aubio-0.3.2-numarray-gnuplot.patch
deleted file mode 100644
index 48d1e76d3530..000000000000
--- a/media-libs/aubio/files/aubio-0.3.2-numarray-gnuplot.patch
+++ /dev/null
@@ -1,332 +0,0 @@
-http://pkgs.fedoraproject.org/gitweb/?p=aubio.git;a=tree
-
---- python/aubio/aubioclass.py
-+++ python/aubio/aubioclass.py
-@@ -42,8 +42,10 @@
- self.file = new_aubio_sndfile_wo(model.file,filename)
- else:
- self.file = new_aubio_sndfile_ro(filename)
-+ if self.file == None:
-+ raise(ValueError, "failed opening file %s" % filename)
- def __del__(self):
-- del_aubio_sndfile(self.file)
-+ if self.file != None: del_aubio_sndfile(self.file)
- def info(self):
- aubio_sndfile_info(self.file)
- def samplerate(self):
-@@ -126,7 +128,7 @@
- channels=1,samplerate=44100.,omode=aubio_pitchm_freq,yinthresh=0.1):
- self.pitchp = new_aubio_pitchdetection(bufsize,hopsize,channels,
- samplerate,mode,omode)
-- aubio_pitchdetection_set_yinthresh(self.pitchp,yinthresh)
-+ aubio_pitchdetection_set_yinthresh(self.pitchp,yinthresh)
- #self.filt = filter(srate,"adsgn")
- def __del__(self):
- del_aubio_pitchdetection(self.pitchp)
---- python/aubio/bench/onset.py
-+++ python/aubio/bench/onset.py
-@@ -111,7 +111,7 @@
- for i in self.vlist:
- gd.append(i['GD'])
- fp.append(i['FP'])
-- d.append(Gnuplot.Data(fp, gd, with='linespoints',
-+ d.append(Gnuplot.Data(fp, gd, with_='linespoints',
- title="%s %s" % (plottitle,i['mode']) ))
-
- def plotplotroc(self,d,outplot=0,extension='ps'):
-@@ -147,7 +147,7 @@
- for i in self.vlist:
- x.append(i['prec'])
- y.append(i['recl'])
-- d.append(Gnuplot.Data(x, y, with='linespoints',
-+ d.append(Gnuplot.Data(x, y, with_='linespoints',
- title="%s %s" % (plottitle,i['mode']) ))
-
- def plotplotpr(self,d,outplot=0,extension='ps'):
-@@ -172,7 +172,7 @@
- for i in self.vlist:
- x.append(i['thres'])
- y.append(i['dist'])
-- d.append(Gnuplot.Data(x, y, with='linespoints',
-+ d.append(Gnuplot.Data(x, y, with_='linespoints',
- title="%s %s" % (plottitle,i['mode']) ))
-
- def plotplotfmeas(self,d,outplot="",extension='ps', title="F-measure"):
-@@ -205,7 +205,7 @@
- for i in self.vlist:
- x.append(i[var])
- y.append(i['dist'])
-- d.append(Gnuplot.Data(x, y, with='linespoints',
-+ d.append(Gnuplot.Data(x, y, with_='linespoints',
- title="%s %s" % (plottitle,i['mode']) ))
-
- def plotplotfmeasvar(self,d,var,outplot="",extension='ps', title="F-measure"):
-@@ -244,7 +244,7 @@
- total = v['Torig']
- for i in range(len(per)): per[i] /= total/100.
-
-- d.append(Gnuplot.Data(val, per, with='fsteps',
-+ d.append(Gnuplot.Data(val, per, with_='fsteps',
- title="%s %s" % (plottitle,v['mode']) ))
- #d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (mean,smean))
- #d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (amean,samean))
-@@ -275,7 +275,7 @@
- total = v['Torig']
- for i in range(len(per)): per[i] /= total/100.
-
-- d.append(Gnuplot.Data(val, per, with='fsteps',
-+ d.append(Gnuplot.Data(val, per, with_='fsteps',
- title="%s %s" % (plottitle,v['mode']) ))
- #d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (mean,smean))
- #d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (amean,samean))
---- python/aubio/gnuplot.py
-+++ python/aubio/gnuplot.py
-@@ -23,7 +23,7 @@
-
- def audio_to_array(filename):
- import aubio.aubioclass
-- import numarray
-+ from numpy import arange
- hopsize = 2048
- filei = aubio.aubioclass.sndfile(filename)
- framestep = 1/(filei.samplerate()+0.)
-@@ -39,7 +39,7 @@
- while (curpos < readsize):
- data.append(myvec.get(curpos,i))
- curpos+=1
-- time = numarray.arange(len(data))*framestep
-+ time = arange(len(data))*framestep
- return time,data
-
- def plot_audio(filenames, g, options):
-@@ -143,29 +143,29 @@
-
- def downsample_audio(time,data,maxpoints=10000):
- """ resample audio data to last only maxpoints """
-- import numarray
-+ from numpy import array, resize
- length = len(time)
- downsample = length/maxpoints
- if downsample == 0: downsample = 1
-- x = numarray.array(time).resize(length)[0:-1:downsample]
-- y = numarray.array(data).resize(length)[0:-1:downsample]
-+ x = resize(array(time),length)[0:-1:downsample]
-+ y = resize(array(data),length)[0:-1:downsample]
- return x,y
-
- def make_audio_plot(time,data,maxpoints=10000):
- """ create gnuplot plot from an audio file """
- import Gnuplot, Gnuplot.funcutils
- x,y = downsample_audio(time,data,maxpoints=maxpoints)
-- return Gnuplot.Data(x,y,with='lines')
-+ return Gnuplot.Data(x,y,with_='lines')
-
- def make_audio_envelope(time,data,maxpoints=10000):
- """ create gnuplot plot from an audio file """
-- import numarray
-+ from numpy import array
- import Gnuplot, Gnuplot.funcutils
- bufsize = 500
-- x = [i.mean() for i in numarray.array(time).resize(len(time)/bufsize,bufsize)]
-- y = [i.mean() for i in numarray.array(data).resize(len(time)/bufsize,bufsize)]
-+ x = [i.mean() for i in resize(array(time), (len(time)/bufsize,bufsize))]
-+ y = [i.mean() for i in resize(array(data), (len(time)/bufsize,bufsize))]
- x,y = downsample_audio(x,y,maxpoints=maxpoints)
-- return Gnuplot.Data(x,y,with='lines')
-+ return Gnuplot.Data(x,y,with_='lines')
-
- def gnuplot_addargs(parser):
- """ add common gnuplot argument to OptParser object """
---- python/aubio/onsetcompare.py
-+++ python/aubio/onsetcompare.py
-@@ -106,7 +106,7 @@
- return orig, missed, merged, expc, bad, doubled, l, labs
-
- def notes_roc (la, lb, eps):
-- from numarray import transpose, add, resize
-+ from numpy import transpose, add, resize
- """ creates a matrix of size len(la)*len(lb) then look for hit and miss
- in it within eps tolerance windows """
- gdn,fpw,fpg,fpa,fdo,fdp = 0,0,0,0,0,0
---- python/aubio/task/beat.py
-+++ python/aubio/task/beat.py
-@@ -247,7 +247,7 @@
-
- def plot(self,oplots,results):
- import Gnuplot
-- oplots.append(Gnuplot.Data(results,with='linespoints',title="auto"))
-+ oplots.append(Gnuplot.Data(results,with_='linespoints',title="auto"))
-
- def plotplot(self,wplot,oplots,outplot=None,extension=None,xsize=1.,ysize=1.,spectro=False):
- import Gnuplot
-@@ -258,5 +258,5 @@
- #f = make_audio_plot(time,data)
-
- g = gnuplot_create(outplot=outplot, extension=extension)
-- oplots = [Gnuplot.Data(self.gettruth(),with='linespoints',title="orig")] + oplots
-+ oplots = [Gnuplot.Data(self.gettruth(),with_='linespoints',title="orig")] + oplots
- g.plot(*oplots)
---- python/aubio/task/notes.py
-+++ python/aubio/task/notes.py
-@@ -92,18 +92,17 @@
- return now, onset, freq, ifreq
-
- def plot(self,now,onset,freq,ifreq,oplots):
-- import numarray
- import Gnuplot
-
-- oplots.append(Gnuplot.Data(now,freq,with='lines',
-+ oplots.append(Gnuplot.Data(now,freq,with_='lines',
- title=self.params.pitchmode))
-- oplots.append(Gnuplot.Data(now,ifreq,with='lines',
-+ oplots.append(Gnuplot.Data(now,ifreq,with_='lines',
- title=self.params.pitchmode))
-
- temponsets = []
- for i in onset:
- temponsets.append(i*1000)
-- oplots.append(Gnuplot.Data(now,temponsets,with='impulses',
-+ oplots.append(Gnuplot.Data(now,temponsets,with_='impulses',
- title=self.params.pitchmode))
-
- def plotplot(self,wplot,oplots,outplot=None,multiplot = 0):
-@@ -117,10 +116,10 @@
- # check if ground truth exists
- #timet,pitcht = self.gettruth()
- #if timet and pitcht:
-- # oplots = [Gnuplot.Data(timet,pitcht,with='lines',
-+ # oplots = [Gnuplot.Data(timet,pitcht,with_='lines',
- # title='ground truth')] + oplots
-
-- t = Gnuplot.Data(0,0,with='impulses')
-+ t = Gnuplot.Data(0,0,with_='impulses')
-
- g = gnuplot_init(outplot)
- g('set title \'%s\'' % (re.sub('.*/','',self.input)))
---- python/aubio/task/onset.py
-+++ python/aubio/task/onset.py
-@@ -92,7 +92,7 @@
- import Gnuplot, Gnuplot.funcutils
- import aubio.txtfile
- import os.path
-- import numarray
-+ from numpy import arange, array, ones
- from aubio.onsetcompare import onset_roc
-
- x1,y1,y1p = [],[],[]
-@@ -102,8 +102,8 @@
- self.lenofunc = len(ofunc)
- self.maxofunc = max(ofunc)
- # onset detection function
-- downtime = numarray.arange(len(ofunc))*self.params.step
-- oplot.append(Gnuplot.Data(downtime,ofunc,with='lines',title=self.params.onsetmode))
-+ downtime = arange(len(ofunc))*self.params.step
-+ oplot.append(Gnuplot.Data(downtime,ofunc,with_='lines',title=self.params.onsetmode))
-
- # detected onsets
- if not nplot:
-@@ -111,11 +111,11 @@
- x1.append(i[0]*self.params.step)
- y1.append(self.maxofunc)
- y1p.append(-self.maxofunc)
-- #x1 = numarray.array(onsets)*self.params.step
-- #y1 = self.maxofunc*numarray.ones(len(onsets))
-+ #x1 = array(onsets)*self.params.step
-+ #y1 = self.maxofunc*ones(len(onsets))
- if x1:
-- oplot.append(Gnuplot.Data(x1,y1,with='impulses'))
-- wplot.append(Gnuplot.Data(x1,y1p,with='impulses'))
-+ oplot.append(Gnuplot.Data(x1,y1,with_='impulses'))
-+ wplot.append(Gnuplot.Data(x1,y1p,with_='impulses'))
-
- oplots.append((oplot,self.params.onsetmode,self.maxofunc))
-
-@@ -126,9 +126,9 @@
- self.title = "" #"(no ground truth)"
- else:
- t_onsets = aubio.txtfile.read_datafile(datafile)
-- x2 = numarray.array(t_onsets).resize(len(t_onsets))
-- y2 = self.maxofunc*numarray.ones(len(t_onsets))
-- wplot.append(Gnuplot.Data(x2,y2,with='impulses'))
-+ x2 = array(t_onsets).resize(len(t_onsets))
-+ y2 = self.maxofunc*ones(len(t_onsets))
-+ wplot.append(Gnuplot.Data(x2,y2,with_='impulses'))
-
- tol = 0.050
-
---- python/aubio/task/pitch.py
-+++ python/aubio/task/pitch.py
-@@ -156,7 +156,7 @@
-
- time = [ (i+self.params.pitchdelay)*self.params.step for i in range(len(pitch)) ]
- pitch = [aubio_freqtomidi(i) for i in pitch]
-- oplots.append(Gnuplot.Data(time,pitch,with='lines',
-+ oplots.append(Gnuplot.Data(time,pitch,with_='lines',
- title=self.params.pitchmode))
- titles.append(self.params.pitchmode)
-
-@@ -170,7 +170,7 @@
- if truth:
- timet,pitcht = self.gettruth()
- if timet and pitcht:
-- oplots = [Gnuplot.Data(timet,pitcht,with='lines',
-+ oplots = [Gnuplot.Data(timet,pitcht,with_='lines',
- title='ground truth')] + oplots
-
- g = gnuplot_create(outplot=outplot, extension=extension)
---- python/aubiofilter-notes
-+++ python/aubiofilter-notes
-@@ -78,7 +78,7 @@
-
- from aubio import notefilter,txtfile,gnuplot
- """ load midi and raw data """
-- from numarray import array
-+ from numpy import array
- notelist = array(txtfile.read_datafile(input))
- """ filter it out """
- notelist_filtered = notefilter.segraw_onsets4(notelist,winlength,eps)
---- python/aubionotes
-+++ python/aubionotes
-@@ -4,7 +4,6 @@
-
- import aubio.aubioclass
- import aubio.median
-- #from numarray import around
- from math import floor
- hopsize = 512
- bufsize = 4096
---- python/aubioplot-notes
-+++ python/aubioplot-notes
-@@ -18,7 +18,7 @@
- def main (sysargs) :
- from aubio.txtfile import read_datafile
- from aubio.gnuplot import plotnote,plotnote_do
-- from numarray import array
-+ from numpy import array
- filein,fileout = parse_args(sysargs)
- #print 'checking', fileerr, 'against', fileorg
- """ load midi and raw data """
---- python/aubioweb.py
-+++ python/aubioweb.py
-@@ -11,7 +11,7 @@
- sndfile-programs (sndfile-info)
- vorbis-tools (oggenc)
- python-gnuplot
--python-numarray
-+python-numpy
-
- Try the command line tools in aubio/python to test your installation.
-
---- python/aubio/plot/keyboard.py
-+++ python/aubio/plot/keyboard.py
-@@ -30,8 +30,8 @@
- yb = [y0+(y1-y0)*2/3. for i in range(len(xb))]
- ybdelta = [(y1-y0)*1/3. for i in range(len(xb))]
-
-- whites = Gnuplot.Data(xw,yw,xwdelta,ywdelta,with = 'boxxyerrorbars')
-- blacks = Gnuplot.Data(xb,yb,xbdelta,ybdelta,with = 'boxxyerrorbars fill solid')
-+ whites = Gnuplot.Data(xw,yw,xwdelta,ywdelta,with_ = 'boxxyerrorbars')
-+ blacks = Gnuplot.Data(xb,yb,xbdelta,ybdelta,with_ = 'boxxyerrorbars fill solid')
-
- return blacks,whites
-