diff options
Diffstat (limited to 'vespajlib/src/test/java/com/yahoo/tensor/TensorParserTestCase.java')
| -rw-r--r-- | vespajlib/src/test/java/com/yahoo/tensor/TensorParserTestCase.java | 47 |
1 files changed, 46 insertions, 1 deletions
diff --git a/vespajlib/src/test/java/com/yahoo/tensor/TensorParserTestCase.java b/vespajlib/src/test/java/com/yahoo/tensor/TensorParserTestCase.java index 04ea118280c..313cca833f1 100644 --- a/vespajlib/src/test/java/com/yahoo/tensor/TensorParserTestCase.java +++ b/vespajlib/src/test/java/com/yahoo/tensor/TensorParserTestCase.java @@ -9,13 +9,58 @@ import static org.junit.Assert.fail; public class TensorParserTestCase { @Test - public void testParsing() { + public void testSparseParsing() { assertEquals(Tensor.Builder.of(TensorType.fromSpec("tensor()")).build(), Tensor.from("{}")); assertEquals(Tensor.Builder.of(TensorType.fromSpec("tensor(x{})")).cell(1.0, 0).build(), Tensor.from("{{x:0}:1.0}")); assertEquals(Tensor.Builder.of(TensorType.fromSpec("tensor(x{})")).cell().label("x", "l0").value(1.0).build(), Tensor.from("{{x:l0}:1.0}")); + assertEquals("If the type is specified, a dense tensor can be created from the sparse text form", + Tensor.Builder.of(TensorType.fromSpec("tensor(x[1])")).cell(1.0, 0).build(), + Tensor.from("tensor(x[1]):{{x:0}:1.0}")); + } + + @Test + public void testDenseParsing() { + assertEquals(Tensor.Builder.of(TensorType.fromSpec("tensor()")).build(), + Tensor.from("tensor():[]")); + assertEquals(Tensor.Builder.of(TensorType.fromSpec("tensor(x[1])")).cell(1.0, 0).build(), + Tensor.from("tensor(x[1]):[1.0]")); + assertEquals(Tensor.Builder.of(TensorType.fromSpec("tensor(x[2])")).cell(1.0, 0).cell(2.0, 1).build(), + Tensor.from("tensor(x[2]):[1.0, 2.0]")); + assertEquals(Tensor.Builder.of(TensorType.fromSpec("tensor(x[2],y[3])")) + .cell(1.0, 0, 0) + .cell(2.0, 1, 0) + .cell(3.0, 0, 1) + .cell(4.0, 1, 1) + .cell(5.0, 0, 2) + .cell(6.0, 1, 2).build(), + Tensor.from("tensor(x[2],y[3]):[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]")); + assertEquals(Tensor.Builder.of(TensorType.fromSpec("tensor(x[1],y[2],z[3])")) + .cell(1.0, 0, 0, 0) + .cell(2.0, 0, 1, 0) + .cell(3.0, 0, 0, 1) + .cell(4.0, 0, 1, 1) + .cell(5.0, 0, 0, 2) + .cell(6.0, 0, 1, 2).build(), + Tensor.from("tensor(x[1],y[2],z[3]):[[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]")); + assertEquals(Tensor.Builder.of(TensorType.fromSpec("tensor(x[3],y[2],z[1])")) + .cell(1.0, 0, 0, 0) + .cell(2.0, 1, 0, 0) + .cell(3.0, 2, 0, 0) + .cell(4.0, 0, 1, 0) + .cell(5.0, 1, 1, 0) + .cell(6.0, 2, 1, 0).build(), + Tensor.from("tensor(x[3],y[2],z[1]):[[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]]")); + assertEquals(Tensor.Builder.of(TensorType.fromSpec("tensor(x[3],y[2],z[1])")) + .cell(1.0, 0, 0, 0) + .cell(2.0, 1, 0, 0) + .cell(3.0, 2, 0, 0) + .cell(4.0, 0, 1, 0) + .cell(5.0, 1, 1, 0) + .cell(6.0, 2, 1, 0).build(), + Tensor.from("tensor( x[3],y[2],z[1]) : [ [ [1.0, 2.0, 3.0] , [4.0, 5,6.0] ] ]")); } @Test |