*   Add ellipsis (...) support for `tf.einsum()`.
    *   Add expand_composites argument to all `nest.*` methods.
    *   Added `strings.byte_split`.
    *   Add a new "result_type" parameter to `tf.strings.split`.
    *   Add name argument to `tf.string_split` and `tf.strings_split`.
    *   Extend `tf.strings.split` to support inputs with any rank.
    *   Added `tf.random.binomial`.

					dbName := DB.NamingStrategy.ColumnName("", name)
					resultType := reflect.ValueOf(first[dbName]).Type().Name()

					switch name {
					case "Name":
						if !strings.Contains(resultType, "string") {
							t.Errorf("invalid data type for %v, got %v %#v", dbName, resultType, first[dbName])
						}
					case "Age":
						if !strings.Contains(resultType, "int") {

        Descriptor descriptor = Descriptor.of(suite);

        try {
            // if the test suite failed, report all captured output
            if (result.getResultType().equals(TestResult.ResultType.FAILURE)) {
                EventWriter eventWriter = eventWriters.get(descriptor);

                if (eventWriter != null) {

        val store = SerializableTestResultStore(testBinaryResultsDir.toPath())
        if (store.hasResults()) {
            store.forEachResult { result ->
                if (result.innerResult.resultType == TestResult.ResultType.FAILURE) {
                    containingFailures = true
                }
            }
        }
        return containingFailures
    }

    /**