// cgo -godefs -objdir=/tmp/sparc64/cgo -- -Wall -Werror -static -I/tmp/sparc64/include linux/types.go | go run mkpost.go
// Code generated by the command above; see README.md. DO NOT EDIT.

//go:build sparc64 && linux

package unix

const (
	SizeofPtr  = 0x8
	SizeofLong = 0x8
)

type (
	_C_long int64
)

type Timespec struct {
	Sec  int64
	Nsec int64
}

type Timeval struct {
	Sec  int64
	Usec int32

// cgo -godefs -objdir=/tmp/amd64/cgo -- -Wall -Werror -static -I/tmp/amd64/include -m64 linux/types.go | go run mkpost.go
// Code generated by the command above; see README.md. DO NOT EDIT.

//go:build amd64 && linux

package unix

const (
	SizeofPtr  = 0x8
	SizeofLong = 0x8
)

type (
	_C_long int64
)

type Timespec struct {
	Sec  int64
	Nsec int64
}

type Timeval struct {
	Sec  int64
	Usec int64
}

// because they have global effect. It should also not call [B.Run].
//
// RunParallel reports ns/op values as wall time for the benchmark as a whole,
// not the sum of wall time or CPU time over each parallel goroutine.
func (b *B) RunParallel(body func(*PB)) {
	if b.N == 0 {
		return // Nothing to do when probing.
	}
	// Calculate grain size as number of iterations that take ~100µs.

	re(`-D([A-Za-z_][A-Za-z0-9_]*)(=[^@\-]*)?`),
	re(`-U([A-Za-z_][A-Za-z0-9_]*)`),
	re(`-F([^@\-].*)`),
	re(`-I([^@\-].*)`),
	re(`-O`),
	re(`-O([^@\-].*)`),
	re(`-W`),
	re(`-W([^@,]+)`), // -Wall but not -Wa,-foo.
	re(`-Wa,-mbig-obj`),
	re(`-Wp,-D([A-Za-z_][A-Za-z0-9_]*)(=[^@,\-]*)?`),
	re(`-Wp,-U([A-Za-z_][A-Za-z0-9_]*)`),
	re(`-ansi`),
	re(`-f(no-)?asynchronous-unwind-tables`),
	re(`-f(no-)?blocks`),

        /* metric description */ "status" /* metric label */);

auto* phase2_bridge_compilation_time = tsl::monitoring::Sampler<1>::New(
    {"/tensorflow/core/tf2xla/api/v1/phase2_compilation_time",
     "The wall-clock time spent on executing graphs in milliseconds.",
     "configuration"},
    // Power of 1.5 with bucket count 45 (> 23 hours)
    {tsl::monitoring::Buckets::Exponential(1, 1.5, 45)});

utilize multiple agents. With parallel pipelines you can measure the wall-clock time it takes for a set of changes to go from having been pushed to version control to being built, verified and deployed. The build cache's effect in this case can be measured in the reduction of the time developers have to wait for feedback from CI.

You can also measure the cumulative time your build agents spent building a changeset, which will give you a sense of the amount of work the CI infrastructure has to...

        long finish = System.currentTimeMillis();

        long time = finish - session.getRequest().getStartTime().getTime();

        String wallClock = session.getRequest().getDegreeOfConcurrency() > 1 ? " (Wall Clock)" : "";

        logger.info("Total time:  {}{}", formatDuration(time), wallClock);

        logger.info("Finished at: {}", formatTimestamp(finish));
    }

    @Override

        """
        buildFile << """
            apply plugin: 'cpp-library'

            library {
                binaries.configureEach {
                    compileTask.get().compilerArgs.add("-Wall")
                    compileTask.get().compilerArgs.add("-Werror")
                }
            }
         """

        expect:
        succeeds "assemble"

		}
	}

	return nil
}

// HasFunctions determines if all locations in this profile have
// symbolized function information.
func (p *Profile) HasFunctions() bool {
	for _, l := range p.Location {
		if l.Mapping == nil || !l.Mapping.HasFunctions {
			return false
		}
	}
	return true
}

// HasFileLines determines if all locations in this profile have
// symbolized file and line number information.

	f2(3.14) /* ERROR "not enough arguments in call to f2\n\thave (number)\n\twant (float32, string)" */
	f2(3.14, "foo")
	f2(x /* ERRORx `cannot use .* in argument` */ , "foo")
	f2(g0 /* ERROR "used as value" */ ()) /* ERROR "not enough arguments in call to f2\n\thave (func())\n\twant (float32, string)" */