checked with prospector, adopted mainly docstrings
This commit is contained in:
Martin Diehl
parent
f13ba71f6e
commit
24391b5398
|
|
@ -5,11 +5,12 @@ import math,numpy as np
|
|||
### --- COLOR CLASS --------------------------------------------------
|
||||
|
||||
class Color():
|
||||
'''
|
||||
Conversion of colors between different color-spaces. Colors should be given in the form
|
||||
"""Conversion of colors between different color-spaces.
|
||||
|
||||
Colors should be given in the form
|
||||
Color('model',[vector]).To convert and copy color from one space to other, use the methods
|
||||
convertTo('model') and expressAs('model')spectively
|
||||
'''
|
||||
"""
|
||||
|
||||
__slots__ = [
|
||||
'model',
|
||||
|
|
@ -17,7 +18,7 @@ class Color():
|
|||
]
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------
|
||||
def __init__(self,
|
||||
model = 'RGB',
|
||||
color = np.zeros(3,'d')):
|
||||
|
|
@ -45,17 +46,19 @@ class Color():
|
|||
self.color = np.array(color,'d')
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------
|
||||
def __repr__(self):
|
||||
"""Color model and values"""
|
||||
return 'Model: %s Color: %s'%(self.model,str(self.color))
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------
|
||||
def __str__(self):
|
||||
"""Color model and values"""
|
||||
return self.__repr__()
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------
|
||||
def convertTo(self,toModel = 'RGB'):
|
||||
toModel = toModel.upper()
|
||||
if toModel not in self.__transforms__.keys(): return
|
||||
|
|
@ -73,17 +76,19 @@ class Color():
|
|||
return self
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------
|
||||
def expressAs(self,asModel = 'RGB'):
|
||||
return self.__class__(self.model,self.color).convertTo(asModel)
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# convert H(ue) S(aturation) L(uminance) to R(red) G(reen) B(lue)
|
||||
# with S,L,H,R,G,B running from 0 to 1
|
||||
# from http://en.wikipedia.org/wiki/HSL_and_HSV
|
||||
def _HSL2RGB(self):
|
||||
|
||||
def _HSL2RGB(self):
|
||||
"""
|
||||
convert H(ue) S(aturation) L(uminance) to R(red) G(reen) B(lue)
|
||||
|
||||
with S,L,H,R,G,B running from 0 to 1
|
||||
from http://en.wikipedia.org/wiki/HSL_and_HSV
|
||||
"""
|
||||
if self.model != 'HSL': return
|
||||
|
||||
sextant = self.color[0]*6.0
|
||||
|
|
@ -103,12 +108,13 @@ class Color():
|
|||
self.color = converted.color
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# convert R(ed) G(reen) B(lue) to H(ue) S(aturation) L(uminance)
|
||||
# with S,L,H,R,G,B running from 0 to 1
|
||||
# from http://130.113.54.154/~monger/hsl-rgb.html
|
||||
def _RGB2HSL(self):
|
||||
"""
|
||||
convert R(ed) G(reen) B(lue) to H(ue) S(aturation) L(uminance)
|
||||
|
||||
with S,L,H,R,G,B running from 0 to 1
|
||||
from http://130.113.54.154/~monger/hsl-rgb.html
|
||||
"""
|
||||
if self.model != 'RGB': return
|
||||
|
||||
HSL = np.zeros(3,'d')
|
||||
|
|
@ -129,7 +135,7 @@ class Color():
|
|||
HSL[0] = 2.0 + (self.color[2] - self.color[0])/(maxcolor - mincolor)
|
||||
elif (maxcolor == self.color[2]):
|
||||
HSL[0] = 4.0 + (self.color[0] - self.color[1])/(maxcolor - mincolor)
|
||||
HSL[0] = HSL[0]*60.0 # is it necessary to scale to 360 hue values? might be dangerous for small values <1..!
|
||||
HSL[0] = HSL[0]*60.0 # scaling to 360 might be dangerous for small values
|
||||
if (HSL[0] < 0.0):
|
||||
HSL[0] = HSL[0] + 360.0
|
||||
for i in xrange(2):
|
||||
|
|
@ -141,12 +147,14 @@ class Color():
|
|||
self.color = converted.color
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# convert R(ed) G(reen) B(lue) to CIE XYZ
|
||||
# with all values in the range of 0 to 1
|
||||
# from http://www.cs.rit.edu/~ncs/color/t_convert.html
|
||||
def _RGB2XYZ(self):
|
||||
|
||||
def _RGB2XYZ(self):
|
||||
"""
|
||||
convert R(ed) G(reen) B(lue) to CIE XYZ
|
||||
|
||||
with all values in the range of 0 to 1
|
||||
from http://www.cs.rit.edu/~ncs/color/t_convert.html
|
||||
"""
|
||||
if self.model != 'RGB': return
|
||||
|
||||
XYZ = np.zeros(3,'d')
|
||||
|
|
@ -168,12 +176,14 @@ class Color():
|
|||
self.color = converted.color
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# convert CIE XYZ to R(ed) G(reen) B(lue)
|
||||
# with all values in the range of 0 to 1
|
||||
# from http://www.cs.rit.edu/~ncs/color/t_convert.html
|
||||
def _XYZ2RGB(self):
|
||||
|
||||
def _XYZ2RGB(self):
|
||||
"""
|
||||
convert CIE XYZ to R(ed) G(reen) B(lue)
|
||||
|
||||
with all values in the range of 0 to 1
|
||||
from http://www.cs.rit.edu/~ncs/color/t_convert.html
|
||||
"""
|
||||
if self.model != 'XYZ': return
|
||||
|
||||
convert = np.array([[ 3.240479,-1.537150,-0.498535],
|
||||
|
|
@ -197,12 +207,14 @@ class Color():
|
|||
self.color = converted.color
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# convert CIE Lab to CIE XYZ
|
||||
# with XYZ in the range of 0 to 1
|
||||
# from http://www.easyrgb.com/index.php?X=MATH&H=07#text7
|
||||
def _CIELAB2XYZ(self):
|
||||
|
||||
def _CIELAB2XYZ(self):
|
||||
"""
|
||||
convert CIE Lab to CIE XYZ
|
||||
|
||||
with XYZ in the range of 0 to 1
|
||||
from http://www.easyrgb.com/index.php?X=MATH&H=07#text7
|
||||
"""
|
||||
if self.model != 'CIELAB': return
|
||||
|
||||
ref_white = np.array([.95047, 1.00000, 1.08883],'d') # Observer = 2, Illuminant = D65
|
||||
|
|
@ -220,13 +232,13 @@ class Color():
|
|||
self.model = converted.model
|
||||
self.color = converted.color
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# convert CIE XYZ to CIE Lab
|
||||
# with XYZ in the range of 0 to 1
|
||||
# from http://en.wikipedia.org/wiki/Lab_color_space, http://www.cs.rit.edu/~ncs/color/t_convert.html
|
||||
def _XYZ2CIELAB(self):
|
||||
"""
|
||||
convert CIE XYZ to CIE Lab
|
||||
|
||||
with XYZ in the range of 0 to 1
|
||||
from http://en.wikipedia.org/wiki/Lab_color_space, http://www.cs.rit.edu/~ncs/color/t_convert.html
|
||||
"""
|
||||
if self.model != 'XYZ': return
|
||||
|
||||
ref_white = np.array([.95047, 1.00000, 1.08883],'d') # Observer = 2, Illuminant = D65
|
||||
|
|
@ -243,11 +255,12 @@ class Color():
|
|||
self.color = converted.color
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# convert CIE Lab to Msh colorspace
|
||||
# from http://www.cs.unm.edu/~kmorel/documents/ColorMaps/DivergingColorMapWorkshop.xls
|
||||
def _CIELAB2MSH(self):
|
||||
"""
|
||||
convert CIE Lab to Msh colorspace
|
||||
|
||||
from http://www.cs.unm.edu/~kmorel/documents/ColorMaps/DivergingColorMapWorkshop.xls
|
||||
"""
|
||||
if self.model != 'CIELAB': return
|
||||
|
||||
Msh = np.zeros(3,'d')
|
||||
|
|
@ -262,12 +275,13 @@ class Color():
|
|||
self.color = converted.color
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# convert Msh colorspace to CIE Lab
|
||||
# s,h in radians
|
||||
# from http://www.cs.unm.edu/~kmorel/documents/ColorMaps/DivergingColorMapWorkshop.xls
|
||||
def _MSH2CIELAB(self):
|
||||
"""
|
||||
convert Msh colorspace to CIE Lab
|
||||
|
||||
s,h in radians
|
||||
from http://www.cs.unm.edu/~kmorel/documents/ColorMaps/DivergingColorMapWorkshop.xls
|
||||
"""
|
||||
if self.model != 'MSH': return
|
||||
|
||||
Lab = np.zeros(3,'d')
|
||||
|
|
@ -280,13 +294,8 @@ class Color():
|
|||
self.color = converted.color
|
||||
|
||||
|
||||
|
||||
### --- COLORMAP CLASS -----------------------------------------------
|
||||
|
||||
class Colormap():
|
||||
'''
|
||||
perceptually uniform diverging or sequential colormaps.
|
||||
'''
|
||||
"""perceptually uniform diverging or sequential colormaps."""
|
||||
|
||||
__slots__ = [
|
||||
'left',
|
||||
|
|
@ -294,20 +303,40 @@ class Colormap():
|
|||
'interpolate',
|
||||
]
|
||||
__predefined__ = {
|
||||
'gray': {'left': Color('HSL',[0,1,1]), 'right': Color('HSL',[0,0,0.15]), 'interpolate': 'perceptualuniform'},
|
||||
'grey': {'left': Color('HSL',[0,1,1]), 'right': Color('HSL',[0,0,0.15]), 'interpolate': 'perceptualuniform'},
|
||||
'red': {'left': Color('HSL',[0,1,0.14]), 'right': Color('HSL',[0,0.35,0.91]), 'interpolate': 'perceptualuniform'},
|
||||
'green': {'left': Color('HSL',[0.33333,1,0.14]), 'right': Color('HSL',[0.33333,0.35,0.91]), 'interpolate': 'perceptualuniform'},
|
||||
'blue': {'left': Color('HSL',[0.66,1,0.14]), 'right': Color('HSL',[0.66,0.35,0.91]), 'interpolate': 'perceptualuniform'},
|
||||
'seaweed': {'left': Color('HSL',[0.78,1.0,0.1]), 'right': Color('HSL',[0.40000,0.1,0.9]), 'interpolate': 'perceptualuniform'},
|
||||
'bluebrown': {'left': Color('HSL',[0.65,0.53,0.49]), 'right': Color('HSL',[0.11,0.75,0.38]), 'interpolate': 'perceptualuniform'},
|
||||
'redgreen': {'left': Color('HSL',[0.97,0.96,0.36]), 'right': Color('HSL',[0.33333,1.0,0.14]), 'interpolate': 'perceptualuniform'},
|
||||
'bluered': {'left': Color('HSL',[0.65,0.53,0.49]), 'right': Color('HSL',[0.97,0.96,0.36]), 'interpolate': 'perceptualuniform'},
|
||||
'blueredrainbow':{'left': Color('HSL',[2.0/3.0,1,0.5]), 'right': Color('HSL',[0,1,0.5]), 'interpolate': 'linear' },
|
||||
'gray': {'left': Color('HSL',[0,1,1]),
|
||||
'right': Color('HSL',[0,0,0.15]),
|
||||
'interpolate': 'perceptualuniform'},
|
||||
'grey': {'left': Color('HSL',[0,1,1]),
|
||||
'right': Color('HSL',[0,0,0.15]),
|
||||
'interpolate': 'perceptualuniform'},
|
||||
'red': {'left': Color('HSL',[0,1,0.14]),
|
||||
'right': Color('HSL',[0,0.35,0.91]),
|
||||
'interpolate': 'perceptualuniform'},
|
||||
'green': {'left': Color('HSL',[0.33333,1,0.14]),
|
||||
'right': Color('HSL',[0.33333,0.35,0.91]),
|
||||
'interpolate': 'perceptualuniform'},
|
||||
'blue': {'left': Color('HSL',[0.66,1,0.14]),
|
||||
'right': Color('HSL',[0.66,0.35,0.91]),
|
||||
'interpolate': 'perceptualuniform'},
|
||||
'seaweed': {'left': Color('HSL',[0.78,1.0,0.1]),
|
||||
'right': Color('HSL',[0.40000,0.1,0.9]),
|
||||
'interpolate': 'perceptualuniform'},
|
||||
'bluebrown': {'left': Color('HSL',[0.65,0.53,0.49]),
|
||||
'right': Color('HSL',[0.11,0.75,0.38]),
|
||||
'interpolate': 'perceptualuniform'},
|
||||
'redgreen': {'left': Color('HSL',[0.97,0.96,0.36]),
|
||||
'right': Color('HSL',[0.33333,1.0,0.14]),
|
||||
'interpolate': 'perceptualuniform'},
|
||||
'bluered': {'left': Color('HSL',[0.65,0.53,0.49]),
|
||||
'right': Color('HSL',[0.97,0.96,0.36]),
|
||||
'interpolate': 'perceptualuniform'},
|
||||
'blueredrainbow':{'left': Color('HSL',[2.0/3.0,1,0.5]),
|
||||
'right': Color('HSL',[0,1,0.5]),
|
||||
'interpolate': 'linear' },
|
||||
}
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------
|
||||
def __init__(self,
|
||||
left = Color('RGB',[1,1,1]),
|
||||
right = Color('RGB',[0,0,0]),
|
||||
|
|
@ -330,26 +359,27 @@ class Colormap():
|
|||
self.interpolate = interpolate
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------
|
||||
def __repr__(self):
|
||||
"""left and right value of colormap"""
|
||||
return 'Left: %s Right: %s'%(self.left,self.right)
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------
|
||||
def invert(self):
|
||||
(self.left, self.right) = (self.right, self.left)
|
||||
return self
|
||||
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------
|
||||
def color(self,fraction = 0.5):
|
||||
|
||||
def interpolate_Msh(lo, hi, frac):
|
||||
|
||||
def rad_diff(a,b):
|
||||
return abs(a[2]-b[2])
|
||||
|
||||
def adjust_hue(Msh_sat, Msh_unsat): # if saturation of one of the two colors is too less than the other, hue of the less
|
||||
# if saturation of one of the two colors is too less than the other, hue of the less
|
||||
def adjust_hue(Msh_sat, Msh_unsat):
|
||||
if Msh_sat[0] >= Msh_unsat[0]:
|
||||
return Msh_sat[2]
|
||||
else:
|
||||
|
|
@ -375,10 +405,11 @@ class Colormap():
|
|||
return Color('MSH',Msh)
|
||||
|
||||
def interpolate_linear(lo, hi, frac):
|
||||
'''
|
||||
linearly interpolate color at given fraction between lower and higher color in model of lower color
|
||||
'''
|
||||
"""
|
||||
linearly interpolate color at given fraction between lower and
|
||||
|
||||
higher color in model of lower color
|
||||
"""
|
||||
interpolation = (1.0 - frac) * np.array(lo.color[:]) \
|
||||
+ frac * np.array(hi.expressAs(lo.model).color[:])
|
||||
|
||||
|
|
@ -393,21 +424,21 @@ class Colormap():
|
|||
else:
|
||||
raise NameError('unknown color interpolation method')
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# ------------------------------------------------------------------
|
||||
def export(self,name = 'uniformPerceptualColorMap',\
|
||||
format = 'paraview',\
|
||||
steps = 2,\
|
||||
crop = [-1.0,1.0],
|
||||
model = 'RGB'):
|
||||
'''
|
||||
"""
|
||||
[RGB] colormap for use in paraview or gmsh, or as raw string, or array.
|
||||
|
||||
arguments: name, format, steps, crop.
|
||||
format is one of (paraview, gmsh, raw, list).
|
||||
crop selects a (sub)range in [-1.0,1.0].
|
||||
generates sequential map if one limiting color is either white or black,
|
||||
diverging map otherwise.
|
||||
'''
|
||||
|
||||
"""
|
||||
format = format.lower() # consistent comparison basis
|
||||
frac = 0.5*(np.array(crop) + 1.0) # rescale crop range to fractions
|
||||
colors = [self.color(float(i)/(steps-1)*(frac[1]-frac[0])+frac[0]).expressAs(model).color for i in xrange(steps)]
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@
|
|||
|
||||
# $Id$
|
||||
|
||||
import os,sys,string,re,subprocess,shlex
|
||||
import os,subprocess,shlex
|
||||
|
||||
class Environment():
|
||||
__slots__ = [ \
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
# -*- coding: UTF-8 no BOM -*-
|
||||
|
||||
# $Id$
|
||||
"""Test functionality"""
|
||||
|
||||
from .test import Test
|
||||
from .test import Test "noqa
|
||||
|
|
|
|||
|
|
@ -2,17 +2,19 @@
|
|||
|
||||
# $Id$
|
||||
|
||||
import os, sys, shlex, inspect
|
||||
import subprocess,shutil,string
|
||||
import logging, logging.config
|
||||
import os,sys,shutil
|
||||
import logging,logging.config
|
||||
import damask
|
||||
import numpy as np
|
||||
from collections import Iterable
|
||||
from optparse import OptionParser
|
||||
|
||||
class Test():
|
||||
'''
|
||||
"""
|
||||
General class for testing.
|
||||
|
||||
Is sub-classed by the individual tests.
|
||||
'''
|
||||
"""
|
||||
|
||||
variants = []
|
||||
|
||||
|
|
@ -52,9 +54,7 @@ class Test():
|
|||
accept=False)
|
||||
|
||||
def execute(self):
|
||||
'''
|
||||
Run all variants and report first failure.
|
||||
'''
|
||||
"""Run all variants and report first failure."""
|
||||
if self.options.debug:
|
||||
for variant in xrange(len(self.variants)):
|
||||
try:
|
||||
|
|
@ -84,15 +84,11 @@ class Test():
|
|||
return 0
|
||||
|
||||
def testPossible(self):
|
||||
'''
|
||||
Check if test is possible or not (e.g. no license available).
|
||||
'''
|
||||
"""Check if test is possible or not (e.g. no license available)."""
|
||||
return True
|
||||
|
||||
def clean(self):
|
||||
'''
|
||||
Delete directory tree containing current results.
|
||||
'''
|
||||
"""Delete directory tree containing current results."""
|
||||
status = True
|
||||
|
||||
try:
|
||||
|
|
@ -110,103 +106,77 @@ class Test():
|
|||
return status
|
||||
|
||||
def prepareAll(self):
|
||||
'''
|
||||
Do all necessary preparations for the whole test
|
||||
'''
|
||||
"""Do all necessary preparations for the whole test"""
|
||||
return True
|
||||
|
||||
def prepare(self,variant):
|
||||
'''
|
||||
Do all necessary preparations for the run of each test variant
|
||||
'''
|
||||
"""Do all necessary preparations for the run of each test variant"""
|
||||
return True
|
||||
|
||||
|
||||
def run(self,variant):
|
||||
'''
|
||||
Execute the requested test variant.
|
||||
'''
|
||||
"""Execute the requested test variant."""
|
||||
return True
|
||||
|
||||
|
||||
def postprocess(self,variant):
|
||||
'''
|
||||
Perform post-processing of generated results for this test variant.
|
||||
'''
|
||||
"""Perform post-processing of generated results for this test variant."""
|
||||
return True
|
||||
|
||||
|
||||
def compare(self,variant):
|
||||
'''
|
||||
Compare reference to current results.
|
||||
'''
|
||||
"""Compare reference to current results."""
|
||||
return True
|
||||
|
||||
|
||||
def update(self,variant):
|
||||
'''
|
||||
Update reference with current results.
|
||||
'''
|
||||
"""Update reference with current results."""
|
||||
logging.debug('Update not necessary')
|
||||
return True
|
||||
|
||||
|
||||
def dirReference(self):
|
||||
'''
|
||||
Directory containing reference results of the test.
|
||||
'''
|
||||
"""Directory containing reference results of the test."""
|
||||
return os.path.normpath(os.path.join(self.dirBase,'reference/'))
|
||||
|
||||
|
||||
def dirCurrent(self):
|
||||
'''
|
||||
Directory containing current results of the test.
|
||||
'''
|
||||
"""Directory containing current results of the test."""
|
||||
return os.path.normpath(os.path.join(self.dirBase,'current/'))
|
||||
|
||||
|
||||
def dirProof(self):
|
||||
'''
|
||||
Directory containing human readable proof of correctness for the test.
|
||||
'''
|
||||
"""Directory containing human readable proof of correctness for the test."""
|
||||
return os.path.normpath(os.path.join(self.dirBase,'proof/'))
|
||||
|
||||
|
||||
def fileInRoot(self,dir,file):
|
||||
'''
|
||||
Path to a file in the root directory of DAMASK.
|
||||
'''
|
||||
"""Path to a file in the root directory of DAMASK."""
|
||||
return os.path.join(damask.Environment().rootDir(),dir,file)
|
||||
|
||||
|
||||
def fileInReference(self,file):
|
||||
'''
|
||||
Path to a file in the refrence directory for the test.
|
||||
'''
|
||||
"""Path to a file in the refrence directory for the test."""
|
||||
return os.path.join(self.dirReference(),file)
|
||||
|
||||
|
||||
def fileInCurrent(self,file):
|
||||
'''
|
||||
Path to a file in the current results directory for the test.
|
||||
'''
|
||||
"""Path to a file in the current results directory for the test."""
|
||||
return os.path.join(self.dirCurrent(),file)
|
||||
|
||||
|
||||
def fileInProof(self,file):
|
||||
'''
|
||||
Path to a file in the proof directory for the test.
|
||||
'''
|
||||
"""Path to a file in the proof directory for the test."""
|
||||
return os.path.join(self.dirProof(),file)
|
||||
|
||||
|
||||
def copy(self, mapA, mapB,
|
||||
A = [], B = []):
|
||||
'''
|
||||
"""
|
||||
copy list of files from (mapped) source to target.
|
||||
mapA/B is one of self.fileInX.
|
||||
'''
|
||||
|
||||
mapA/B is one of self.fileInX.
|
||||
"""
|
||||
if not B or len(B) == 0: B = A
|
||||
|
||||
for source,target in zip(map(mapA,A),map(mapB,B)):
|
||||
|
|
@ -328,7 +298,8 @@ class Test():
|
|||
logging.info('comparing ASCII Tables\n %s \n %s'%(file0,file1))
|
||||
if normHeadings == '': normHeadings = headings0
|
||||
|
||||
if len(headings0) == len(headings1) == len(normHeadings): #check if comparison is possible and determine lenght of columns
|
||||
# check if comparison is possible and determine lenght of columns
|
||||
if len(headings0) == len(headings1) == len(normHeadings):
|
||||
dataLength = len(headings0)
|
||||
length = [1 for i in xrange(dataLength)]
|
||||
shape = [[] for i in xrange(dataLength)]
|
||||
|
|
@ -431,15 +402,11 @@ class Test():
|
|||
meanTol = 1.0e-4,
|
||||
stdTol = 1.0e-6,
|
||||
preFilter = 1.0e-9):
|
||||
|
||||
'''
|
||||
"""
|
||||
calculate statistics of tables
|
||||
|
||||
threshold can be used to ignore small values (a negative number disables this feature)
|
||||
'''
|
||||
|
||||
import numpy as np
|
||||
from collections import Iterable
|
||||
|
||||
"""
|
||||
if not (isinstance(files, Iterable) and not isinstance(files, str)): # check whether list of files is requested
|
||||
files = [str(files)]
|
||||
|
||||
|
|
@ -491,15 +458,11 @@ class Test():
|
|||
preFilter = -1.0,
|
||||
postFilter = -1.0,
|
||||
debug = False):
|
||||
|
||||
'''
|
||||
"""
|
||||
compare tables with np.allclose
|
||||
|
||||
threshold can be used to ignore small values (a negative number disables this feature)
|
||||
'''
|
||||
|
||||
import numpy as np
|
||||
from collections import Iterable
|
||||
|
||||
"""
|
||||
if not (isinstance(files, Iterable) and not isinstance(files, str)): # check whether list of files is requested
|
||||
files = [str(files)]
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue