Make initial tensor dimensions general

com.ibm.wala.cast.python.jython.test/.classpath

@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <classpath>
-	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/JavaSE-21">
+	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/JavaSE-25">
 		<attributes>
 			<attribute name="maven.pomderived" value="true"/>
 		</attributes>

com.ibm.wala.cast.python.jython.test/.settings/org.eclipse.jdt.core.prefs

@@ -10,15 +10,15 @@ org.eclipse.jdt.core.classpath.mainOnlyProjectHasTestOnlyDependency=error
 org.eclipse.jdt.core.classpath.multipleOutputLocations=enabled
 org.eclipse.jdt.core.classpath.outputOverlappingAnotherSource=error
 org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled
-org.eclipse.jdt.core.compiler.codegen.targetPlatform=21
-org.eclipse.jdt.core.compiler.compliance=21
+org.eclipse.jdt.core.compiler.codegen.targetPlatform=25
+org.eclipse.jdt.core.compiler.compliance=25
 org.eclipse.jdt.core.compiler.maxProblemPerUnit=100
 org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
 org.eclipse.jdt.core.compiler.problem.enablePreviewFeatures=disabled
 org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
 org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning
 org.eclipse.jdt.core.compiler.problem.reportPreviewFeatures=ignore
 org.eclipse.jdt.core.compiler.release=enabled
-org.eclipse.jdt.core.compiler.source=21
+org.eclipse.jdt.core.compiler.source=25
 org.eclipse.jdt.core.incompatibleJDKLevel=ignore
 org.eclipse.jdt.core.incompleteClasspath=error

com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TensorFlowTypesTest.java

@@ -0,0 +1,37 @@
+package com.ibm.wala.cast.python.ml.test;
+
+import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT32;
+import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.FLOAT64;
+import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT32;
+import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.INT64;
+import static com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType.STRING;
+import static org.junit.Assert.*;
+
+import com.ibm.wala.cast.python.ml.types.TensorFlowTypes.DType;
+import org.junit.Test;
+
+public class TensorFlowTypesTest {
+
+  @Test
+  public void testCanConvertTo() {
+    assertTrue(FLOAT32.canConvertTo(FLOAT32));
+    assertTrue(FLOAT32.canConvertTo(FLOAT64));
+    assertFalse(FLOAT64.canConvertTo(FLOAT32));
+    assertFalse(FLOAT64.canConvertTo(DType.STRING));
+    assertFalse(STRING.canConvertTo(FLOAT32));
+    assertTrue(STRING.canConvertTo(DType.STRING));
+    assertTrue(INT32.canConvertTo(DType.INT32));
+    assertTrue(INT32.canConvertTo(DType.FLOAT32));
+    assertFalse(INT32.canConvertTo(DType.STRING));
+    assertFalse(STRING.canConvertTo(DType.INT32));
+    assertTrue(INT64.canConvertTo(DType.FLOAT64));
+    assertFalse(INT64.canConvertTo(DType.FLOAT32));
+    assertFalse(INT64.canConvertTo(DType.INT32));
+    assertTrue(INT32.canConvertTo(DType.INT64));
+    assertTrue(FLOAT64.canConvertTo(DType.FLOAT64));
+    assertFalse(FLOAT32.canConvertTo(DType.INT32));
+    assertTrue(FLOAT32.canConvertTo(DType.FLOAT32));
+    assertFalse(FLOAT64.canConvertTo(DType.INT64));
+    assertFalse(FLOAT64.canConvertTo(DType.INT32));
+  }
+}