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https://bitbucket.org/cosmicvoids/vide_public.git
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cleaned up vide toolkit calls
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parent
288e2263b6
commit
438407be74
4 changed files with 4 additions and 8 deletions
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@ -27,8 +27,7 @@ VOID_GSL=os.environ.get('VOID_GSL')
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setup(
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name='vide',
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version='1.0',
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# cmdclass = {'build_ext': build_ext},
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version='3.0',
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include_dirs = [np.get_include()],
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packages=
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['vide','vide.backend','vide.voidUtil'],
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@ -37,7 +37,6 @@ from netCDF4 import Dataset
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from vide.backend.classes import *
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from vide.backend.cosmologyTools import *
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import pickle
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import vide.apTools as vp
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import scipy.interpolate as interpolate
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NetCDFFile = Dataset
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@ -274,7 +273,7 @@ def launchPrep(sample, binPath, workDir=None, inputDataDir=None,
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# add to sample info file
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if sample.dataType == "observation":
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(boxVol, nbar) = vp.getSurveyProps(sample.maskFile, sample.zRange[0],
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(boxVol, nbar) = getSurveyProps(sample.maskFile, sample.zRange[0],
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sample.zRange[1], sample.zRange[0], sample.zRange[1], "all",
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useComoving=useComoving)
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else:
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@ -24,7 +24,6 @@ import numpy as np
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from netCDF4 import Dataset
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import sys
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from vide.backend import *
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import vide.apTools as vp
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import pickle
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from .periodic_kdtree import PeriodicCKDTree
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import os
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@ -123,7 +122,7 @@ def loadPart(sampleDir):
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# else:
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# maskFile = sampleDir+"/"+os.path.basename(sample.maskFile)
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# print "Using maskfile found in:", maskFile
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# props = vp.getSurveyProps(maskFile, sample.zBoundary[0],
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# props = getSurveyProps(maskFile, sample.zBoundary[0],
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# sample.zBoundary[1],
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# sample.zBoundary[0],
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# sample.zBoundary[1], "all",
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@ -173,7 +172,7 @@ def getVolNorm(sampleDir):
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# else:
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# maskFile = sampleDir+"/"+os.path.basename(sample.maskFile)
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# print "Using maskfile found in:", maskFile
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# props = vp.getSurveyProps(maskFile, sample.zBoundary[0],
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# props = getSurveyProps(maskFile, sample.zBoundary[0],
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# sample.zBoundary[1],
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# sample.zBoundary[0],
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# sample.zBoundary[1], "all",
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@ -24,7 +24,6 @@ from vide.voidUtil import *
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from .plotDefs import *
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import numpy as np
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import os
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import vide.apTools as vp
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from scipy.optimize import curve_fit
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from scipy.interpolate import interp1d
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