DAMASK_EICMD/lib/damask/test/test.py

458 lines
17 KiB
Python

# -*- coding: UTF-8 no BOM -*-
# $Id$
import os, sys, shlex, inspect
import subprocess,shutil,string
import logging, logging.config
import damask
from optparse import OptionParser
class Test():
'''
General class for testing.
Is sub-classed by the individual tests.
'''
variants = []
def __init__(self,test_description):
logger = logging.getLogger()
logger.setLevel(0)
fh = logging.FileHandler('test.log') # create file handler which logs even debug messages
fh.setLevel(logging.DEBUG)
full = logging.Formatter('%(asctime)s - %(levelname)s: \n%(message)s')
fh.setFormatter(full)
ch = logging.StreamHandler(stream=sys.stdout) # create console handler with a higher log level
ch.setLevel(logging.INFO)
# create formatter and add it to the handlers
plain = logging.Formatter('%(message)s')
ch.setFormatter(plain)
# add the handlers to the logger
logger.addHandler(fh)
logger.addHandler(ch)
logging.info('!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n\n' \
+'----------------------------------------------------------------\n' \
+'| '+test_description+'\n' \
+'----------------------------------------------------------------')
self.dirBase = os.path.dirname(os.path.realpath(sys.modules[self.__class__.__module__].__file__))
self.parser = OptionParser(
description = test_description+' (using class: $Id run_test.py 1285 2012-02-09 08:54:09Z MPIE\m.diehl $)',
usage='./test.py [options]')
self.updateRequested = False
def execute(self):
'''
Run all variants and report first failure.
'''
if not self.testPossible(): return -1
self.clean()
self.prepareAll()
for variant in xrange(len(self.variants)):
try:
self.prepare(variant)
self.run(variant)
self.postprocess(variant)
if self.updateRequested: # update requested
self.update(variant)
elif not self.compare(variant): # no update, do comparison
return variant+1 # return culprit
except Exception as e :
logging.critical('\nWARNING:\n %s\n'%e)
return variant+1 # return culprit
return 0
def testPossible(self):
'''
Check if test is possible or not (e.g. no license available).
'''
return True
def clean(self):
'''
Delete directory tree containing current results.
'''
status = True
try:
shutil.rmtree(self.dirCurrent())
except:
logging.warning('removal of directory "%s" not possible...'%(self.dirCurrent()))
status = status and False
try:
os.mkdir(self.dirCurrent())
except:
logging.critical('creation of directory "%s" failed...'%(self.dirCurrent()))
status = status and False
return status
def prepareAll(self):
'''
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
'''
return True
def run(self,variant):
'''
Execute the requested test variant.
'''
return True
def postprocess(self,variant):
'''
Perform post-processing of generated results for this test variant.
'''
return True
def compare(self,variant):
'''
Compare reference to current results.
'''
return True
def update(self,variant):
'''
Update reference with current results.
'''
logging.debug('Update not necessary')
return True
def dirReference(self):
'''
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.
'''
return os.path.normpath(os.path.join(self.dirBase,'current/'))
def dirProof(self):
'''
Directory containing human readable proof of correctness for the test.
'''
return os.path.normpath(os.path.join(self.dirBase,'proof/'))
def fileInReference(self,file):
'''
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.
'''
return os.path.join(self.dirCurrent(),file)
def fileInProof(self,file):
'''
Path to a file in the proof directory for the test.
'''
return os.path.join(self.dirProof(),file)
def copy_Reference2Current(self,sourcefiles=[],targetfiles=[]):
if len(targetfiles) == 0: targetfiles = sourcefiles
for i,file in enumerate(sourcefiles):
try:
shutil.copy2(self.fileInReference(file),self.fileInCurrent(targetfiles[i]))
except:
logging.critical('Reference2Current: Unable to copy file %s'%file)
def copy_Base2Current(self,sourceDir,sourcefiles=[],targetfiles=[]):
source=os.path.normpath(os.path.join(self.dirBase,'../../'+sourceDir))
if len(targetfiles) == 0: targetfiles = sourcefiles
for i,file in enumerate(sourcefiles):
try:
shutil.copy2(os.path.join(source,file),self.fileInCurrent(targetfiles[i]))
except:
logging.error(os.path.join(source,file))
logging.critical('Base2Current: Unable to copy file %s'%file)
def copy_Current2Reference(self,sourcefiles=[],targetfiles=[]):
if len(targetfiles) == 0: targetfiles = sourcefiles
for i,file in enumerate(sourcefiles):
try:
shutil.copy2(self.fileInCurrent(file),self.fileInReference(targetfiles[i]))
except:
logging.critical('Current2Reference: Unable to copy file %s'%file)
def copy_Proof2Current(self,sourcefiles=[],targetfiles=[]):
if len(targetfiles) == 0: targetfiles = sourcefiles
for i,file in enumerate(sourcefiles):
try:
shutil.copy2(self.fileInProof(file),self.fileInCurrent(targetfiles[i]))
except:
logging.critical('Proof2Current: Unable to copy file %s'%file)
def copy_Current2Current(self,sourcefiles=[],targetfiles=[]):
for i,file in enumerate(sourcefiles):
try:
shutil.copy2(self.fileInReference(file),self.fileInCurrent(targetfiles[i]))
except:
logging.critical('Current2Current: Unable to copy file %s'%file)
def execute_inCurrentDir(self,cmd,streamIn=None):
logging.info(cmd)
out,error = damask.util.execute(cmd,streamIn,self.dirCurrent())
logging.info(error)
logging.debug(out)
return out,error
def compare_Array(self,File1,File2):
import numpy as np
logging.info('comparing\n '+File1+'\n '+File2)
table1 = damask.ASCIItable(File1,readonly=True)
table1.head_read()
len1=len(table1.info)+2
table2 = damask.ASCIItable(File2,readonly=True)
table2.head_read()
len2=len(table2.info)+2
refArray = np.nan_to_num(np.genfromtxt(File1,missing_values='n/a',skip_header = len1,autostrip=True))
curArray = np.nan_to_num(np.genfromtxt(File2,missing_values='n/a',skip_header = len2,autostrip=True))
if len(curArray) == len(refArray):
refArrayNonZero = refArray[refArray.nonzero()]
curArray = curArray[refArray.nonzero()]
max_err=np.max(abs(refArrayNonZero[curArray.nonzero()]/curArray[curArray.nonzero()]-1.))
max_loc=np.argmax(abs(refArrayNonZero[curArray.nonzero()]/curArray[curArray.nonzero()]-1.))
refArrayNonZero = refArrayNonZero[curArray.nonzero()]
curArray = curArray[curArray.nonzero()]
print(' ********\n * maximum relative error %e for %e and %e\n ********'
%(max_err, refArrayNonZero[max_loc],curArray[max_loc]))
return max_err
else:
raise Exception('mismatch in array size to compare')
def compare_ArrayRefCur(self,ref,cur=''):
if cur =='': cur = ref
refName = self.fileInReference(ref)
curName = self.fileInCurrent(cur)
return self.compare_Array(refName,curName)
def compare_ArrayCurCur(self,cur0,cur1):
cur0Name = self.fileInCurrent(cur0)
cur1Name = self.fileInCurrent(cur1)
return self.compare_Array(cur0Name,cur1Name)
def compare_Table(self,headings0,file0,headings1,file1,normHeadings='',normType=None,\
absoluteTolerance=False,perLine=False,skipLines=[]):
import numpy as np
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
dataLength = len(headings0)
length = [1 for i in xrange(dataLength)]
shape = [[] for i in xrange(dataLength)]
data = [[] for i in xrange(dataLength)]
maxError = [0.0 for i in xrange(dataLength)]
absTol = [absoluteTolerance for i in xrange(dataLength)]
column = [[1 for i in xrange(dataLength)] for j in xrange(2)]
norm = [[] for i in xrange(dataLength)]
normLength = [1 for i in xrange(dataLength)]
normShape = [[] for i in xrange(dataLength)]
normColumn = [1 for i in xrange(dataLength)]
for i in xrange(dataLength):
if headings0[i]['shape'] != headings1[i]['shape']:
raise Exception('shape mismatch when comparing %s with %s '%(headings0[i]['label'],headings1[i]['label']))
shape[i] = headings0[i]['shape']
for j in xrange(np.shape(shape[i])[0]):
length[i] *= shape[i][j]
normShape[i] = normHeadings[i]['shape']
for j in xrange(np.shape(normShape[i])[0]):
normLength[i] *= normShape[i][j]
else:
raise Exception('trying to compare %i with %i normed by %i data sets'%(len(headings0),len(headings1),len(normHeadings)))
table0 = damask.ASCIItable(file0,readonly=True)
table0.head_read()
table1 = damask.ASCIItable(file1,readonly=True)
table1.head_read()
for i in xrange(dataLength):
key0 = {True :'1_%s',
False:'%s' }[length[i]>1]%headings0[i]['label']
key1 = {True :'1_%s',
False:'%s' }[length[i]>1]%headings1[i]['label']
normKey = {True :'1_%s',
False:'%s' }[normLength[i]>1]%normHeadings[i]['label']
if key0 not in table0.labels:
raise Exception('column %s not found in 1. table...\n'%key0)
elif key1 not in table1.labels:
raise Exception('column %s not found in 2. table...\n'%key1)
elif normKey not in table0.labels:
raise Exception('column %s not found in 1. table...\n'%normKey)
else:
column[0][i] = table0.labels.index(key0) # remember columns of requested data
column[1][i] = table1.labels.index(key1) # remember columns of requested data in second column
normColumn[i] = table0.labels.index(normKey) # remember columns of requested data in second column
line0 = 0
while table0.data_read(): # read next data line of ASCII table
if line0 not in skipLines:
for i in xrange(dataLength):
myData = np.array(map(float,table0.data[column[0][i]:\
column[0][i]+length[i]]),'d')
normData = np.array(map(float,table0.data[normColumn[i]:\
normColumn[i]+normLength[i]]),'d')
data[i] = np.append(data[i],np.reshape(myData,shape[i]))
if normType == 'pInf':
norm[i] = np.append(norm[i],np.max(np.abs(normData)))
else:
norm[i] = np.append(norm[i],np.linalg.norm(np.reshape(normData,normShape[i]),normType))
line0 +=1
for i in xrange(dataLength):
if not perLine: norm[i] = [np.max(norm[i]) for j in xrange(line0-len(skipLines))]
data[i] = np.reshape(data[i],[line0-len(skipLines),length[i]])
if any(norm[i]) == 0.0 or absTol[i]:
norm[i] = [1.0 for j in xrange(line0-len(skipLines))]
absTol[i] = True
if perLine:
logging.warning('At least one norm of %s in 1. table is 0.0, using absolute tolerance'%headings0[i]['label'])
else:
logging.warning('Maximum norm of %s in 1. table is 0.0, using absolute tolerance'%headings0[i]['label'])
line1 = 0
while table1.data_read(): # read next data line of ASCII table
if line1 not in skipLines:
for i in xrange(dataLength):
myData = np.array(map(float,table1.data[column[1][i]:\
column[1][i]+length[i]]),'d')
maxError[i] = max(maxError[i],np.linalg.norm(np.reshape(myData-data[i][line1-len(skipLines),:],shape[i]))/
norm[i][line1-len(skipLines)])
line1 +=1
if (line0 != line1): raise Exception('found %s lines in 1. table and %s in 2. table'%(line0,line1))
logging.info(' ********')
for i in xrange(dataLength):
if absTol[i]:
logging.info(' * maximum absolute error %e for %s and %s'%(maxError[i],headings0[i]['label'],headings1[i]['label']))
else:
logging.info(' * maximum relative error %e for %s and %s'%(maxError[i],headings0[i]['label'],headings1[i]['label']))
logging.info(' ********')
return maxError
def compare_Table2(self,file0,file1,headings0=None,headings1=None,rtol=1e-5,atol=1e-8,threshold = -1.0,debug=False):
'''
compare two tables with np.allclose
threshold can be used to ignore small values (put any negative number to disable)
table will be row-wise normalized
'''
#http://stackoverflow.com/questions/8904694/how-to-normalize-a-2-dimensional-numpy-array-in-python-less-verbose
import numpy as np
logging.info('comparing ASCII Tables\n %s \n %s'%(file0,file1))
if headings1 == None: headings1=headings0
table0 = damask.ASCIItable(file0,readonly=True)
table0.head_read()
table0.data_readArray(headings0)
row_sums0 = table0.data.sum(axis=1)*table0.data.shape[0]
table0.data /= row_sums0[:,np.newaxis]
table1 = damask.ASCIItable(file1,readonly=True)
table1.head_read()
table1.data_readArray(headings1)
row_sums1 = table1.data.sum(axis=1)*table1.data.shape[0]
table1.data /= row_sums1[:,np.newaxis]
if debug:
t0 = np.where(np.abs(table0.data)<threshold,0.0,table0.data)
t1 = np.where(np.abs(table1.data)<threshold,0.0,table1.data)
print np.amin(np.abs(t1)*rtol+atol-np.abs(t0-t1))
i = np.argmin(np.abs(t1)*rtol+atol-np.abs(t0-t1))
print t0.flatten()[i],t1.flatten()[i]
return np.allclose(np.where(np.abs(table0.data)<threshold,0.0,table0.data),
np.where(np.abs(table1.data)<threshold,0.0,table1.data),rtol,atol)
def compare_TableRefCur(self,headingsRef,ref,headingsCur='',cur='',normHeadings='',normType=None,\
absoluteTolerance=False,perLine=False,skipLines=[]):
if cur == '': cur = ref
if headingsCur == '': headingsCur = headingsRef
refName = self.fileInReference(ref)
curName = self.fileInCurrent(cur)
return self.compare_Table(headingsRef,refName,headingsCur,curName,normHeadings,normType,
absoluteTolerance,perLine,skipLines)
def compare_TableCurCur(self,headingsCur0,Cur0,Cur1,headingsCur1='',normHeadings='',normType=None,\
absoluteTolerance=False,perLine=False,skipLines=[]):
if headingsCur1 == '': headingsCur1 = headingsCur0
cur0Name = self.fileInCurrent(Cur0)
cur1Name = self.fileInCurrent(Cur1)
return self.compare_Table(headingsCur0,cur0Name,headingsCur1,cur1Name,normHeadings,normType,
absoluteTolerance,perLine,skipLines)
def report_Success(self,culprit):
if culprit == 0:
logging.critical('%s passed.'%({False: 'The test',
True: 'All %i tests'%(len(self.variants))}[len(self.variants) > 1]))
logging.critical('\n!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n')
return 0
if culprit == -1:
logging.warning('Warning: Could not start test')
return 0
else:
logging.critical(' ********\n * Test %i failed...\n ********'%(culprit))
logging.critical('\n!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n')
return culprit