// to, the EncodeVersioner outputs the gvk the object will be
	// converted to before persisted in etcd.
	EncodeVersioner runtime.GroupVersioner
	// Transformer allows the value to be transformed prior to persisting into etcd.
	Transformer value.Transformer

	// CompactionInterval is an interval of requesting compaction from apiserver.
	// If the value is 0, no compaction will be issued.
	CompactionInterval time.Duration

func (f exprFlags) Assignable() bool      { return f&64 != 0 }
func (f exprFlags) HasOk() bool           { return f&128 != 0 }
func (f exprFlags) IsRuntimeHelper() bool { return f&256 != 0 } // a runtime function called from transformed syntax

func (f *exprFlags) SetIsVoid()          { *f |= 1 }
func (f *exprFlags) SetIsType()          { *f |= 2 }
func (f *exprFlags) SetIsBuiltin()       { *f |= 4 }
func (f *exprFlags) SetIsValue()         { *f |= 8 }

                        continue;
                    }
                    Object[] transformed = argsTransformer.transform(method.getParameterTypes(), arguments);
                    if (transformed == arguments) {
                        continue;
                    }
                    return DynamicInvokeResult.found(method.doMethodInvoke(bean, transformed));
                }
            }

Status SetShapeAttribute(absl::string_view name, mlir::ShapedType shape,
                         AttrValueMap* values);

// Returns true if the given instruction is an mlir::TF::LegacyCallOp or the
// result of such an operation transformed by the
// ExecutorToControlDialectConversion pass.
//
// TODO(b/145706023): When the ExecutorToControlDialectConversion pass runs
// before the exporter, it mutates an mlir::TF::LegacyCallOp instruction to

    def "reuses file from its origin cache when transform is none"() {
        given:
        def file = testDir.file("other/thing.jar")
        _ * globalCacheLocations.isInsideGlobalCache(file.absolutePath) >> true
        jar(file)
        def classpath = DefaultClassPath.of(file)
        transformer.transform(classpath, None)

        when:
        def cachedClasspath = transformer.transform(classpath, None)

        then:

        output.cancel(false);
        throw new MyRuntimeException();
      }
    }
    Transformer transformer = new Transformer();
    SettableFuture<Object> input = SettableFuture.create();

    ListenableFuture<Object> output = transform(input, transformer, directExecutor());
    transformer.output = output;

    input.set("foo");
    assertTrue(output.isCancelled());
  }

        output.cancel(false);
        throw new MyRuntimeException();
      }
    }
    Transformer transformer = new Transformer();
    SettableFuture<Object> input = SettableFuture.create();

    ListenableFuture<Object> output = transform(input, transformer, directExecutor());
    transformer.output = output;

    input.set("foo");
    assertTrue(output.isCancelled());
  }

 The super model is where we place all the values which we believe to be standard, values that can be shared and
 utilized across all your Maven projects.

+-----+
 m0 <- m1 <- m2
+-----+

 which is transformed into

+-----+
 super model <- m0 <- m1 <- m2
+-----+

+-----+
<project>
 <modelVersion>4.0.0</modelVersion>
 <parent>
   <groupId></groupId>
   <artifactId></artifactId>
   <version></version>

    ```

    `SpaceToDepthOp` can be called on the host to perform the transform.

1.  Weight Transformation

    Weight Transformation is similar to Input Transform. Weight transform is
    needed to apply space to depth optimization for a model that needs to load a
    pre-train checkpoint. This transform can be done on the host or TPU device

        when:
        fails ":resolve"

        then:
        failure.assertHasCause("Failed to transform bad-b.jar to match attributes {artifactType=size}")
        failure.assertHasCause("Failed to transform bad-c.jar to match attributes {artifactType=size}")
    }

    def "only one transformer execution per workspace"() {

        createDirs("lib", "app1", "app2")
        settingsFile << """