use of org.apache.sysml.runtime.controlprogram.caching.MatrixObject in project incubator-systemml by apache.
the class MLContextTest method testOutputListStringCSVSparsePYDML.
@Test
public void testOutputListStringCSVSparsePYDML() {
System.out.println("MLContextTest - output List String CSV Sparse PYDML");
String s = "M = full(0, rows=10, cols=10)\nM[0,0]=1\nM[0,1]=2\nM[1,0]=3\nM[1,1]=4\nprint(toString(M))";
Script script = pydml(s).out("M");
MLResults results = ml.execute(script);
MatrixObject mo = results.getMatrixObject("M");
List<String> lines = MLContextConversionUtil.matrixObjectToListStringCSV(mo);
Assert.assertEquals("1.0,2.0", lines.get(0));
Assert.assertEquals("3.0,4.0", lines.get(1));
}
use of org.apache.sysml.runtime.controlprogram.caching.MatrixObject in project incubator-systemml by apache.
the class MLContextTest method testOutputListStringIJVSparsePYDML.
@Test
public void testOutputListStringIJVSparsePYDML() {
System.out.println("MLContextTest - output List String IJV Sparse PYDML");
String s = "M = full(0, rows=10, cols=10)\nM[0,0]=1\nM[0,1]=2\nM[1,0]=3\nM[1,1]=4\nprint(toString(M))";
Script script = pydml(s).out("M");
MLResults results = ml.execute(script);
MatrixObject mo = results.getMatrixObject("M");
List<String> lines = MLContextConversionUtil.matrixObjectToListStringIJV(mo);
Assert.assertEquals("1 1 1.0", lines.get(0));
Assert.assertEquals("1 2 2.0", lines.get(1));
Assert.assertEquals("2 1 3.0", lines.get(2));
Assert.assertEquals("2 2 4.0", lines.get(3));
}
use of org.apache.sysml.runtime.controlprogram.caching.MatrixObject in project incubator-systemml by apache.
the class MLContextTest method testOutputListStringIJVSparseDML.
@Test
public void testOutputListStringIJVSparseDML() {
System.out.println("MLContextTest - output List String IJV Sparse DML");
String s = "M = matrix(0, rows=10, cols=10); M[1,1]=1; M[1,2]=2; M[2,1]=3; M[2,2]=4; print(toString(M));";
Script script = dml(s).out("M");
MLResults results = ml.execute(script);
MatrixObject mo = results.getMatrixObject("M");
List<String> lines = MLContextConversionUtil.matrixObjectToListStringIJV(mo);
Assert.assertEquals("1 1 1.0", lines.get(0));
Assert.assertEquals("1 2 2.0", lines.get(1));
Assert.assertEquals("2 1 3.0", lines.get(2));
Assert.assertEquals("2 2 4.0", lines.get(3));
}
use of org.apache.sysml.runtime.controlprogram.caching.MatrixObject in project incubator-systemml by apache.
the class MLContextTest method testOutputListStringCSVDenseDML.
@Test
public void testOutputListStringCSVDenseDML() {
System.out.println("MLContextTest - output List String CSV Dense DML");
String s = "M = matrix('1 2 3 4', rows=2, cols=2); print(toString(M));";
Script script = dml(s).out("M");
MLResults results = ml.execute(script);
MatrixObject mo = results.getMatrixObject("M");
List<String> lines = MLContextConversionUtil.matrixObjectToListStringCSV(mo);
Assert.assertEquals("1.0,2.0", lines.get(0));
Assert.assertEquals("3.0,4.0", lines.get(1));
}
use of org.apache.sysml.runtime.controlprogram.caching.MatrixObject in project incubator-systemml by apache.
the class MLContextTest method testOutputListStringIJVDensePYDML.
@Test
public void testOutputListStringIJVDensePYDML() {
System.out.println("MLContextTest - output List String IJV Dense PYDML");
String s = "M = full('1 2 3 4', rows=2, cols=2)\nprint(toString(M))";
Script script = pydml(s).out("M");
MLResults results = ml.execute(script);
MatrixObject mo = results.getMatrixObject("M");
List<String> lines = MLContextConversionUtil.matrixObjectToListStringIJV(mo);
Assert.assertEquals("1 1 1.0", lines.get(0));
Assert.assertEquals("1 2 2.0", lines.get(1));
Assert.assertEquals("2 1 3.0", lines.get(2));
Assert.assertEquals("2 2 4.0", lines.get(3));
}
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