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 | 45 |
1 files changed, 32 insertions, 13 deletions
diff --git a/vespajlib/src/test/java/com/yahoo/tensor/TensorParserTestCase.java b/vespajlib/src/test/java/com/yahoo/tensor/TensorParserTestCase.java index 63fe40565bd..1928971820c 100644 --- a/vespajlib/src/test/java/com/yahoo/tensor/TensorParserTestCase.java +++ b/vespajlib/src/test/java/com/yahoo/tensor/TensorParserTestCase.java @@ -23,37 +23,42 @@ public class TensorParserTestCase { @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])")) + assertDense(Tensor.Builder.of(TensorType.fromSpec("tensor()")).build(), + "tensor():{0.0}"); + assertDense(Tensor.Builder.of(TensorType.fromSpec("tensor()")).cell(1.3).build(), + "tensor():{1.3}"); + assertDense(Tensor.Builder.of(TensorType.fromSpec("tensor(x[])")).cell(1.0, 0).build(), + "tensor(x[]):{{x:0}:1.0}"); + assertDense(Tensor.Builder.of(TensorType.fromSpec("tensor(x[1])")).cell(1.0, 0).build(), + "tensor(x[1]):[1.0]"); + assertDense(Tensor.Builder.of(TensorType.fromSpec("tensor(x[2])")).cell(1.0, 0).cell(2.0, 1).build(), + "tensor(x[2]):[1.0, 2.0]"); + assertDense(Tensor.Builder.of(TensorType.fromSpec("tensor(x[2],y[3])")) .cell(1.0, 0, 0) .cell(2.0, 0, 1) .cell(3.0, 0, 2) .cell(4.0, 1, 0) .cell(5.0, 1, 1) .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])")) + "tensor(x[2],y[3]):[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]"); + assertDense(Tensor.Builder.of(TensorType.fromSpec("tensor(x[1],y[2],z[3])")) .cell(1.0, 0, 0, 0) .cell(2.0, 0, 0, 1) .cell(3.0, 0, 0, 2) .cell(4.0, 0, 1, 0) .cell(5.0, 0, 1, 1) .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])")) + "tensor(x[1],y[2],z[3]):[[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]]"); + assertDense(Tensor.Builder.of(TensorType.fromSpec("tensor(x[3],y[2],z[1])")) .cell(1.0, 0, 0, 0) .cell(2.0, 0, 1, 0) .cell(3.0, 1, 0, 0) .cell(4.0, 1, 1, 0) .cell(5.0, 2, 0, 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])")) + "tensor(x[3],y[2],z[1]):[[[1.0], [2.0]], [[3.0], [4.0]], [[5.0], [6.0]]]"); + assertEquals("Messy input", + Tensor.Builder.of(TensorType.fromSpec("tensor(x[3],y[2],z[1])")) .cell( 1.0, 0, 0, 0) .cell( 2.0, 0, 1, 0) .cell( 3.0, 1, 0, 0) @@ -61,6 +66,20 @@ public class TensorParserTestCase { .cell( 5.0, 2, 0, 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] ] ]")); + assertEquals("Skipping syntactic sugar", + Tensor.Builder.of(TensorType.fromSpec("tensor(x[3],y[2],z[1])")) + .cell( 1.0, 0, 0, 0) + .cell( 2.0, 0, 1, 0) + .cell( 3.0, 1, 0, 0) + .cell( 4.0, 1, 1, 0) + .cell( 5.0, 2, 0, 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]")); + } + + private void assertDense(Tensor expectedTensor, String denseFormat) { + assertEquals(denseFormat, expectedTensor, Tensor.from(denseFormat)); + assertEquals(denseFormat, expectedTensor.toString()); } @Test |