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Commit 29ec23f3 authored by stepan's avatar stepan
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Fix data frame tests

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com.oracle.truffle.r.test/src/com/oracle/truffle/r/test/ExpectedTestOutput.test
+ 187
− 14
View file @ 29ec23f3
......@@ -18489,32 +18489,205 @@ In format.data.frame(x, digits = digits, na.encode = FALSE) :
1 4
 
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dataframe.extractNormalDataFrame
#matcars['cyl']
Error: object 'matcars' not found
#mtcars['cyl']
cyl
Mazda RX4 6
Mazda RX4 Wag 6
Datsun 710 4
Hornet 4 Drive 6
Hornet Sportabout 8
Valiant 6
Duster 360 8
Merc 240D 4
Merc 230 4
Merc 280 6
Merc 280C 6
Merc 450SE 8
Merc 450SL 8
Merc 450SLC 8
Cadillac Fleetwood 8
Lincoln Continental 8
Chrysler Imperial 8
Fiat 128 4
Honda Civic 4
Toyota Corolla 4
Toyota Corona 4
Dodge Challenger 8
AMC Javelin 8
Camaro Z28 8
Pontiac Firebird 8
Fiat X1-9 4
Porsche 914-2 4
Lotus Europa 4
Ford Pantera L 8
Ferrari Dino 6
Maserati Bora 8
Volvo 142E 4
 
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dataframe.extractNormalDataFrame
#matcars[1,2,drop=0]
Error: object 'matcars' not found
#mtcars[-3]
mpg cyl hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 105 2.76 3.460 20.22 1 0 3 1
Duster 360 14.3 8 245 3.21 3.570 15.84 0 0 3 4
Merc 240D 24.4 4 62 3.69 3.190 20.00 1 0 4 2
Merc 230 22.8 4 95 3.92 3.150 22.90 1 0 4 2
Merc 280 19.2 6 123 3.92 3.440 18.30 1 0 4 4
Merc 280C 17.8 6 123 3.92 3.440 18.90 1 0 4 4
Merc 450SE 16.4 8 180 3.07 4.070 17.40 0 0 3 3
Merc 450SL 17.3 8 180 3.07 3.730 17.60 0 0 3 3
Merc 450SLC 15.2 8 180 3.07 3.780 18.00 0 0 3 3
Cadillac Fleetwood 10.4 8 205 2.93 5.250 17.98 0 0 3 4
Lincoln Continental 10.4 8 215 3.00 5.424 17.82 0 0 3 4
Chrysler Imperial 14.7 8 230 3.23 5.345 17.42 0 0 3 4
Fiat 128 32.4 4 66 4.08 2.200 19.47 1 1 4 1
Honda Civic 30.4 4 52 4.93 1.615 18.52 1 1 4 2
Toyota Corolla 33.9 4 65 4.22 1.835 19.90 1 1 4 1
Toyota Corona 21.5 4 97 3.70 2.465 20.01 1 0 3 1
Dodge Challenger 15.5 8 150 2.76 3.520 16.87 0 0 3 2
AMC Javelin 15.2 8 150 3.15 3.435 17.30 0 0 3 2
Camaro Z28 13.3 8 245 3.73 3.840 15.41 0 0 3 4
Pontiac Firebird 19.2 8 175 3.08 3.845 17.05 0 0 3 2
Fiat X1-9 27.3 4 66 4.08 1.935 18.90 1 1 4 1
Porsche 914-2 26.0 4 91 4.43 2.140 16.70 0 1 5 2
Lotus Europa 30.4 4 113 3.77 1.513 16.90 1 1 5 2
Ford Pantera L 15.8 8 264 4.22 3.170 14.50 0 1 5 4
Ferrari Dino 19.7 6 175 3.62 2.770 15.50 0 1 5 6
Maserati Bora 15.0 8 335 3.54 3.570 14.60 0 1 5 8
Volvo 142E 21.4 4 109 4.11 2.780 18.60 1 1 4 2
 
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dataframe.extractNormalDataFrame
#matcars[1,2]
Error: object 'matcars' not found
#mtcars[1,2,drop=0]
cyl
Mazda RX4 6
 
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dataframe.extractNormalDataFrame
#matcars[42]
Error: object 'matcars' not found
#mtcars[1,2]
[1] 6
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dataframe.extractNormalDataFrame
#mtcars[1:4,'cyl']
[1] 6 6 4 6
 
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dataframe.extractNormalDataFrame
#matcars[]
Error: object 'matcars' not found
#mtcars[4]
hp
Mazda RX4 110
Mazda RX4 Wag 110
Datsun 710 93
Hornet 4 Drive 110
Hornet Sportabout 175
Valiant 105
Duster 360 245
Merc 240D 62
Merc 230 95
Merc 280 123
Merc 280C 123
Merc 450SE 180
Merc 450SL 180
Merc 450SLC 180
Cadillac Fleetwood 205
Lincoln Continental 215
Chrysler Imperial 230
Fiat 128 66
Honda Civic 52
Toyota Corolla 65
Toyota Corona 97
Dodge Challenger 150
AMC Javelin 150
Camaro Z28 245
Pontiac Firebird 175
Fiat X1-9 66
Porsche 914-2 91
Lotus Europa 113
Ford Pantera L 264
Ferrari Dino 175
Maserati Bora 335
Volvo 142E 109
 
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dataframe.extractNormalDataFrame
#matcars[c(1,2,10,5)]
Error: object 'matcars' not found
#mtcars[]
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
 
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dataframe.extractNormalDataFrame
#matcars[matrix(c(1,2,10,5),nrow=2,ncol=2)]
Error: object 'matcars' not found
#mtcars[c(1,2,10,5)]
mpg cyl gear drat
Mazda RX4 21.0 6 4 3.90
Mazda RX4 Wag 21.0 6 4 3.90
Datsun 710 22.8 4 4 3.85
Hornet 4 Drive 21.4 6 3 3.08
Hornet Sportabout 18.7 8 3 3.15
Valiant 18.1 6 3 2.76
Duster 360 14.3 8 3 3.21
Merc 240D 24.4 4 4 3.69
Merc 230 22.8 4 4 3.92
Merc 280 19.2 6 4 3.92
Merc 280C 17.8 6 4 3.92
Merc 450SE 16.4 8 3 3.07
Merc 450SL 17.3 8 3 3.07
Merc 450SLC 15.2 8 3 3.07
Cadillac Fleetwood 10.4 8 3 2.93
Lincoln Continental 10.4 8 3 3.00
Chrysler Imperial 14.7 8 3 3.23
Fiat 128 32.4 4 4 4.08
Honda Civic 30.4 4 4 4.93
Toyota Corolla 33.9 4 4 4.22
Toyota Corona 21.5 4 3 3.70
Dodge Challenger 15.5 8 3 2.76
AMC Javelin 15.2 8 3 3.15
Camaro Z28 13.3 8 3 3.73
Pontiac Firebird 19.2 8 3 3.08
Fiat X1-9 27.3 4 4 4.08
Porsche 914-2 26.0 4 5 4.43
Lotus Europa 30.4 4 5 3.77
Ford Pantera L 15.8 8 5 4.22
Ferrari Dino 19.7 6 5 3.62
Maserati Bora 15.0 8 5 3.54
Volvo 142E 21.4 4 4 4.11
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dataframe.extractNormalDataFrame
#mtcars[matrix(c(1,2,10,5),nrow=2,ncol=2)]
[1] 4.0 3.9
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dataframe.undefinedColumnGivesError
#mtcars[42]
Error in `[.data.frame`(mtcars, 42) : undefined columns selected
 
##com.oracle.truffle.r.test.builtins.TestBuiltin_extract_dollar_assign_dataframe.testextract_dollar_assign_dataframe1
#argv <- structure(list(x = structure(list(hours = c(216.27793530786, 14.3454081012111, 16.2639155548331, 77.062914516272, 42.3463070611469, 8.07456175870417, 42.818290162948, 84.9982217741369, 6.97921341420927, 143.155918813582, 16.0908251257365, 214.204015006233)), .Names = 'hours', row.names = c('1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12'), class = 'data.frame'), name = 'hours', value = c(216.27793530786, 14.3454081012111, 16.2639155548331, 77.062914516272, 42.3463070611469, 8.07456175870417, 42.818290162948, 84.9982217741369, 6.97921341420927, 143.155918813582, 16.0908251257365, 214.204015006233)), .Names = c('x', 'name', 'value'));do.call('$<-.data.frame', argv)
com.oracle.truffle.r.test/src/com/oracle/truffle/r/test/builtins/TestBuiltin_extract_dataframe.java
+ 7
− 2
View file @ 29ec23f3
......@@ -40,8 +40,13 @@ public class TestBuiltin_extract_dataframe extends TestBase {
@Test
public void extractNormalDataFrame() {
String[] args = new String[]{"" /* empty */, "'cyl'", "42", "c(1,2,10,5)", "matrix(c(1,2,10,5),nrow=2,ncol=2)", "1,2", "1,2,drop=0"};
assertEval(template("matcars[%0]", args));
String[] args = new String[]{"" /* empty */, "'cyl'", "4", "c(1,2,10,5)", "matrix(c(1,2,10,5),nrow=2,ncol=2)", "1,2", "1,2,drop=0", "-3", "1:4,'cyl'"};
assertEval(template("mtcars[%0]", args));
}
@Test
public void undefinedColumnGivesError() {
assertEval(Output.ContainsError, "mtcars[42]");
}
@Test
......
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