// Create 2 resources and initialize them with dummy values.
  TF_CHECK_OK(device->resource_manager()->Create(
      container, "var1", new tensorflow::Var(tensorflow::DataType::DT_FLOAT)));
  TF_CHECK_OK(device->resource_manager()->Create(
      container, "var2", new tensorflow::Var(tensorflow::DataType::DT_FLOAT)));
}

Status FakeSession::Create(const tensorflow::GraphDef& graph) {

    func.return %4 : tensor<100x50xf32>
  }
  // CHECK: "tf.VarHandleOp"
  // CHECK-SAME: shared_name = "var1"
  // CHECK-SAME: _is_initialized = true
  // CHECK: "tf.VarHandleOp"
  // CHECK-SAME: shared_name = "var2"
  // CHECK-SAME: _is_initialized = true
  // CHECK: "tf.VarHandleOp"

    // CHECK: %[[VAR0:.*]] = "tf.VarHandleOp"()
    %0 = "tf.VarHandleOp"() {container = "", shared_name = "var0"} : () -> tensor<!tf_type.resource<tensor<!tf_type.string>>>

    // CHECK: "tf.AssignVariableOp"(%[[VAR0]], %[[ASSET0]])
    "tf.AssignVariableOp"(%0, %arg0) : (tensor<!tf_type.resource<tensor<!tf_type.string>>>, tensor<!tf_type.string>) -> ()

    // CHECK: %[[VAR1:.*]] = "tf.VarHandleOp"()

from tensorflow.compiler.mlir.tensorflow.tests.tf_saved_model import common_v1

# CHECK: "tf_saved_model.global_tensor"() <{is_mutable, sym_name = "[[VAR0:[a-zA-Z_0-9]+]]", type = tensor<5x3xf32>, value = {{.*}} : tensor<5x3xf32>}> : () -> ()
# CHECK: "tf_saved_model.global_tensor"() <{is_mutable, sym_name = "[[VAR1:[a-zA-Z_0-9]+]]", type = tensor<3x5xf32>, value = {{.*}} : tensor<3x5xf32>}> : () -> ()
# CHECK:      func {{@[a-zA-Z_0-9]+}}(

VariableInfo::VariableInfo(
    int index, absl::string_view name, Var* var,
    const std::optional<ManagedStackTrace>& definition_stack_trace)
    : index_(index),
      name_(name),
      var_(var),
      definition_stack_trace_(definition_stack_trace) {}

VariableInfo::VariableInfo(VariableInfo&& other)
    : index_(other.index_),
      var_(other.var_),
      definition_stack_trace_(other.definition_stack_trace_),

            [jar1: jar(1234), jar2: jar(3456), jar3: jar(4568), jar4: jar(5678)]
        ) == [modified("jar2"), modified("jar3")]
    }

    def "jar never modified for different paths"() {
        expect:
        changes(
            [jar1: jar(1234), 'new-jar2': jar(2345), jar3: jar(4567), jar4: jar(5678)],

                id("base")
            }

            task jar1(type: Jar) {}
            task jar2(type: Jar) {}

            configurations {
                named("default") {
                    outgoing.artifact(tasks.jar1)
                }
                archives {
                    outgoing.artifact(tasks.jar2)
                }
            }
        """

        expect:

			args:         []Arg{{Name: "foo", Value: "bar1"}, {Name: "foo", Value: "bar2"}},
			name:         "foo",
			value:        "zz",
			nArgs:        -1,
			expectedArgs: []Arg{{Name: "foo", Value: "zz"}, {Name: "foo", Value: "zz"}},
		},
		{
			testName:     "add new argument",
			args:         []Arg{{Name: "foo", Value: "bar1"}, {Name: "foo", Value: "bar2"}},
			name:         "z",
			value:        "zz",
			nArgs:        -1,

    def "creates manifest classpath with relative urls"() {
        when:
        def classpathFiles = [tmpDir.file('mydir/jar1.jar'), tmpDir.file('mydir/nested/jar2.jar')]

        then:
        ManifestUtil.createManifestClasspath(jarFile, classpathFiles) == "jar1.jar nested/jar2.jar";
    }

    def "creates manifest classpath with absolute urls"() {
        when:
        def tmpDirPath = tmpDir.testDirectory.toURI().rawPath

		if uint(i) >= uint(s.Len) || uint(j) >= uint(s.Len) {
			panic("reflect: slice index out of range")
		}
		val1 := arrayAt(s.Data, i, size, "i < s.Len")
		val2 := arrayAt(s.Data, j, size, "j < s.Len")
		typedmemmove(typ, tmp, val1)
		typedmemmove(typ, val1, val2)
		typedmemmove(typ, val2, tmp)
	}