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aSample= class=Sample name=a good sample implementation=class=SampleImplementation name=a good sample size=3 dimension=4 description=[X1,X2,X3,X4] data=[[-1.2,2.3,3.4,-4.5],[5.6,-6.7,7.8,8.9],[-0.1,3.2,5.1,7.5]]
aSample= class=Sample name=a good sample implementation=class=SampleImplementation name=a good sample size=3 dimension=4 description=[X1,X2,X3,X4] data=[[-1.2,2.3,3.4,-4.5],[5.6,-6.7,7.8,8.9],[-0.1,3.2,5.1,7.5]]
aSample= class=Sample name=a good coma separated sample implementation=class=SampleImplementation name=a good coma separated sample size=3 dimension=4 description=[X1,X2,X3,X4] data=[[-1.2,2.3,3.4,-4.5],[5.6,-6.7,7.8,8.9],[-0.1,3.2,5.1,7.5]]
aSample= class=Sample name=a good coma separated sample implementation=class=SampleImplementation name=a good coma separated sample size=3 dimension=4 description=[X1,X2,X3,X4] data=[[-1.2,2.3,3.4,-4.5],[5.6,-6.7,7.8,8.9],[-0.1,3.2,5.1,7.5]]
"X1";"X2";"X3";"X4"
-1.2000000000000000e+00;2.2999999999999998e+00;3.3999999999999999e+00;-4.5000000000000000e+00
5.5999999999999996e+00;-6.7000000000000002e+00;7.7999999999999998e+00;8.9000000000000004e+00
-1.0000000000000001e-01;3.2000000000000002e+00;5.0999999999999996e+00;7.5000000000000000e+00
import with quotes: class=Sample name=sample.csv implementation=class=SampleImplementation name=sample.csv size=3 dimension=4 description=[X1,X2,X3,X4] data=[[-1.2,2.3,3.4,-4.5],[5.6,-6.7,7.8,8.9],[-0.1,3.2,5.1,7.5]]
import with spaces: class=Sample name=sample.csv implementation=class=SampleImplementation name=sample.csv size=1 dimension=10 description=[nos,sbef,saft,sbeaf,mid,qnos,qsbef,qsaft,qsbeaf,mid mid] data=[[1,2,3,4,5,6,7,8,9,10]]
import with spaces semicolon: class=Sample name=sample.csv implementation=class=SampleImplementation name=sample.csv size=1 dimension=10 description=[nos,sbef,saft,sbeaf,mid mid,qnos,qsbef,qsaft,qsbeaf,mid mid] data=[[1,2,3,4,5,6,7,8,9,10]]
aSample= class=Sample name=a good sample with spaces implementation=class=SampleImplementation name=a good sample with spaces size=3 dimension=4 description=[X1,X2,X3,X4] data=[[-1.2,2.3,3.4,-4.5],[5.6,-6.7,7.8,8.9],[-0.1,3.2,5.1,7.5]]
aSample with bad entries (see log)= class=Sample name=a sample with bad entries implementation=class=SampleImplementation name=a sample with bad entries size=2 dimension=4 description=[data_0,data_1,data_2,data_3] data=[[-1.2,2.3,3.4,-4.5],[0.9,9.8,8.4,5.4]]
aSample with bad entries (see log)= class=Sample name=a sample with bad entries implementation=class=SampleImplementation name=a sample with bad entries size=2 dimension=4 description=[data_0,data_1,data_2,data_3] data=[[-1.2,2.3,3.4,-4.5],[0.9,9.8,8.4,5.4]]
aSample with missing entries (see log)= class=Sample name=a sample with missing entries implementation=class=SampleImplementation name=a sample with missing entries size=2 dimension=4 description=[data_0,data_1,data_2,data_3] data=[[-1.2,2.3,3.4,-4.5],[6.5,9,7.3,-3.7]]
aSample with missing entries (see log)= class=Sample name=a sample with missing entries implementation=class=SampleImplementation name=a sample with missing entries size=2 dimension=4 description=[data_0,data_1,data_2,data_3] data=[[-1.2,2.3,3.4,-4.5],[6.5,9,7.3,-3.7]]
aSample with special chars (see log)= class=Sample name=a sample with special chars implementation=class=SampleImplementation name=a sample with special chars size=2 dimension=3 description=[X1;,X2!()#{}%&<=>^$+-*./:\|`?,X3 [unit]] data=[[5.6,-6.7,7.8],[-0.1,3.2,7.5]]
aSample with special chars (see log)= class=Sample name=a sample with special chars implementation=class=SampleImplementation name=a sample with special chars size=2 dimension=3 description=[X1;,X2!()#{}%&<=>^$+-*./:\|`?,X3 [unit]] data=[[5.6,-6.7,7.8],[-0.1,3.2,7.5]]
aSample with comments= class=Sample name=sample.csv implementation=class=SampleImplementation name=sample.csv size=3 dimension=4 description=[h1,h2,h3,h4] data=[[-1.2,2.3,3.4,-4.5],[5.6,-6.7,7.8,8.9],[-0.1,3.2,5.1,7.5]]
aSample from CRLF file= class=Sample name=sample.csv implementation=class=SampleImplementation name=sample.csv size=3 dimension=4 description=[data_0,data_1,data_2,data_3] data=[[-1.2,2.3,3.4,-4.5],[5.6,-6.7,7.8,8.9],[-0.1,3.2,7.5,4.6]]
import with skipped lines= class=Sample name=sample.csv implementation=class=SampleImplementation name=sample.csv size=2 dimension=4 description=[data_0,data_1,data_2,data_3] data=[[5.6,-6.7,7.8,8.9],[-0.1,3.2,7.5,4.6]]
aSample description empty component= [ data_0 data_1 data_2 ]
0 : [ 1 2 3 ]
aSample description empty component= [ data_0 data_1 data_2 ]
0 : [ 1 2 3 ]
-2.4000000000000000e-08
nan
nan
nan
inf
inf
inf
-inf
aSample with nan/inf (text)= class=Sample name=sample.csv implementation=class=SampleImplementation name=sample.csv size=8 dimension=1 description=[data_0] data=[[-2.4e-08],[nan],[nan],[nan],[inf],[inf],[inf],[-inf]]
aSample with nan/inf (csv)= class=Sample name=sample.csv implementation=class=SampleImplementation name=sample.csv size=8 dimension=1 description=[data_0] data=[[-2.4e-08],[nan],[nan],[nan],[inf],[inf],[inf],[-inf]]
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