TestPartResult::Type type,
                       const string& substr);
  ~SingleFailureChecker();
 private:
  const TestPartResultArray* const results_;
  const TestPartResult::Type type_;
  const string substr_;

  GTEST_DISALLOW_COPY_AND_ASSIGN_(SingleFailureChecker);
};

}  // namespace internal

}  // namespace testing

        else:
            alias = field_info.alias or param_name
        field_info.alias = alias
        field = create_response_field(
            name=param_name,
            type_=use_annotation_from_field_info,
            default=field_info.default,
            alias=alias,
            required=field_info.default in (Required, Undefined),
            field_info=field_info,
        )

[source,java]
.Resource.java
----
include::{snippetsPath}/plugins/readOnlyNestedProperty/groovy/buildSrc/src/main/java/Resource.java[tags=resource]
----

A _named managed type_ is a managed type that additionally has an abstract property "name" of type `String`.

        //   However, because of the type of the object returned by `getArchiveFile()` is a `Property`,
        //   we assume it's mutable, even though the _return type_ is `Provider`.
        //   We will produce the correct message after https://github.com/gradle/gradle/issues/26141 is fixed.

func FPOP2S(m uint32, s uint32, type_ uint32, op uint32) uint32 {
	return m<<31 | s<<29 | 0x1E<<24 | type_<<22 | 1<<21 | op<<12 | 2<<10
}

func FPOP3S(m uint32, s uint32, type_ uint32, op uint32, op2 uint32) uint32 {
	return m<<31 | s<<29 | 0x1F<<24 | type_<<22 | op<<21 | op2<<15
}

func FPCVTI(sf uint32, s uint32, type_ uint32, rmode uint32, op uint32) uint32 {

Plus jamais vous ne vous tromperez en tapant le nom d'une clé, vous ne ferez des aller-retour entre votre code et la documentation ou vous ne scrollerez de haut en bas afin d'enfin savoir si vous devez taper `username` ou `user_name`.

### Court

#include "tensorflow/c/eager/c_api_unified_experimental_internal.h"
#include "tensorflow/c/eager/unified_api_testutil.h"
#include "tensorflow/c/experimental/gradients/grad_test_helper.h"
#include "tensorflow/c/experimental/gradients/tape/tape_context.h"
#include "tensorflow/c/experimental/ops/math_ops.h"
#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/core/platform/tensor_float_32_utils.h"
#include "tensorflow/core/platform/test.h"

	o1 := uint32(0)
	o2 := uint32(0)
	o3 := uint32(0)
	o4 := uint32(0)

	add := AADDU

	if c.ctxt.Arch.Family == sys.MIPS64 {
		add = AADDVU
	}
	switch o.type_ {
	default:
		c.ctxt.Diag("unknown type %d %v", o.type_)
		prasm(p)

	case 0: /* pseudo ops */
		break

	case 1: /* mov r1,r2 ==> OR r1,r0,r2 */
		a := AOR
		if p.As == AMOVW && c.ctxt.Arch.Family == sys.MIPS64 {

		# chop at first space.
		pc = int(str(pc).split(None, 1)[0], 16)
	return pc


#
#  For reference, this is what we're trying to do:
#  eface: p *(*(struct 'runtime.rtype'*)'main.e'->type_->data)->string
#  iface: p *(*(struct 'runtime.rtype'*)'main.s'->tab->Type->data)->string
#
# interface types can't be recognized by their name, instead we check

	o1 := uint32(0)
	o2 := uint32(0)
	o3 := uint32(0)
	o4 := uint32(0)
	o5 := uint32(0)

	add := AADDU
	add = AADDVU

	switch o.type_ {
	default:
		c.ctxt.Diag("unknown type %d %v", o.type_)
		prasm(p)

	case 0: // pseudo ops
		break

	case 1: // mov r1,r2 ==> OR r1,r0,r2
		a := AOR
		if p.As == AMOVW {
			a = ASLL
		}