}
		funcs = append(funcs, s)
		state.nfunc++
		if state.firstFunc == 0 {
			state.firstFunc = s
		}
		state.lastFunc = s

		// We need to keep track of all compilation units we see. Some symbols
		// (eg, go.buildid, _cgoexp_, etc) won't have a compilation unit.
		cu := ldr.SymUnit(s)
		if _, ok := seenCUs[cu]; cu != nil && !ok {
			seenCUs[cu] = struct{}{}
			cu.PclnIndex = len(compUnits)
			compUnits = append(compUnits, cu)

fmt.Printf format strings.

A "modular" analysis is one that inspects one package at a time but can
save information from a lower-level package and use it when inspecting a
higher-level package, analogous to separate compilation in a toolchain.
The printf checker is modular: when it discovers that a function such as
log.Fatalf delegates to fmt.Printf, it records this fact, and checks
calls to that function too, including calls made from another package.

	// linker, we need to reset the state machine that controls the
	// debug symbols. Do this using an end-of-sequence operator.
	//
	// Note: at one point in time, Delve did not support multiple end
	// sequence ops within a compilation unit (bug for this:
	// https://github.com/go-delve/delve/issues/1694), however the bug
	// has since been fixed (Oct 2019).
	//
	// Issue 38192: the DWARF standard specifies that when you issue

`compile__Variant__Swift` (e.g. `compileDebugSwift` and `compileReleaseSwift`)  - link:{groovyDslPath}/org.gradle.language.swift.tasks.SwiftCompile.html[SwiftCompile]::
Depends on: All tasks that contribute source files to the compilation
::
Compiles Swift source files using the selected compiler.

  // Parse the original compile metadata.
  Operation& compile = compile_launch.GetBody().front();
  auto metadata_str = compile.getAttrOfType<StringAttr>("metadata");
  assert(metadata_str && "Missing compilation metadata");
  tensorflow::tpu::TPUCompileMetadataProto metadata;
  metadata.ParseFromString(std::string(metadata_str.getValue()));
  int64_t num_replicas = replicate.getN();

    }

    @Issue("GRADLE-2973")
    @Requires(IntegTestPreconditions.IsParallelExecutor)
    @ToBeFixedForConfigurationCache
    def "releases cache lock when compilation fails with --parallel"() {
        def helloWorldApp = new CppHelloWorldApp()
        given:
        settingsFile << "include ':a', ':b'"
        buildFile << """
subprojects {
    apply plugin: 'cpp'

                        }
                   }
               }
           }
        }""".stripMargin()

        expect:
        fails ":test"
        failure.assertHasCause("Compilation failed; see the compiler error output for details.")
    }

    def "can toggle framework multiple times on default test task directly, outside of default test suite"() {
        given:
        buildFile << """

  }
  return variable_snapshots;
}

class PjRtExecutionUtilGpuTest : public OpsTestBase {
 public:
  PjRtExecutionUtilGpuTest() {
    // Set flag to use PJRT for device compilation and execution.
    auto& rollout_config = GetXlaOpsCommonFlags()->tf_xla_use_device_api;
    rollout_config.enabled_for_xla_launch_ = true;
    rollout_config.enabled_for_compile_on_demand_ = true;

// types section.
type typeReader interface {
	Seek(Offset)
	Next() (*Entry, error)
	clone() typeReader
	offset() Offset
	// AddressSize returns the size in bytes of addresses in the current
	// compilation unit.
	AddressSize() int
}

// Type reads the type at off in the DWARF “info” section.
func (d *Data) Type(off Offset) (Type, error) {
	return d.readType("info", d.Reader(), off, d.typeCache, nil)
}

using mlir::PassManager;
using mlir::func::FuncOp;

namespace {

void CreateReplicatedBridgePipelineV1(OpPassManager &pm) {
  pm.addPass(mlir::tf2xla::internal::CreateInferenceMetricsPass());

  // Convert to unified compilation and replication attributes.
  pm.addNestedPass<FuncOp>(
      mlir::TF::CreateCanonicalizeCompileAndReplicateAttributesPass());
  // Guarantee all functions have one use, which enables more exact shape
  // inference.