detail::SideEffectAnalysisInfo> {
 public:
  // Constructs analysis by analyzing the given module operation. Because no
  // parallel_ids are given, the program has sequential memory semantics.
  explicit SideEffectAnalysis(ModuleOp module_op);

  // Constructs analysis by analyzing the given module operation where
  // `op_to_parallel_ids` supplies the group to branch map. This is the map

						for _, r := range readers {
							files = append(files, r.Name)
						}
						fmt.Fprintf(cmd.ErrOrStderr(), "\u2714 No validation issues found when analyzing %s.\n", strings.Join(files, "\n"))
					} else {
						fmt.Fprintf(cmd.ErrOrStderr(), "\u2714 No validation issues found when analyzing %s.\n", analyzeTargetAsString())
					}
				} else {
					fileOrFiles := "files"
					if parseErrors == 1 {
						fileOrFiles = "file"
					}

 private:
  // Returns the analysis for the given region (analyzing the region if it has
  // not yet been analyzed).
  const InfoT& GetOrCreateAnalysis(Region& region) {
    auto it = info_map_.find(&region);
    if (it == info_map_.end()) {
      // Note: Keep object construction and insertion separate. If we use
      // emplace() to construct and insert in a single shot, when analyzing

        Set<String> types = isAccessible(access) ? accessibleTypes : privateTypes;
        maybeAddClassTypesFromSignature(signature, types);
        if (superName != null) {
            // superName can be null if what we are analyzing is `java.lang.Object`
            // which can happen when a custom Java SDK is on classpath (typically, android.jar)
            Type type = Type.getObjectType(superName);
            maybeAddDependentType(types, type);

            operand58,
            operand59,
            operand60,
            operand61
        ] as Set)


        expect:
        operation
    }

    @Ignore("to be used adhoc when analyzing specific issue")
    def 'replay content from shared json formatted log'() {
        def input = new File('/path/to/log.json')
        def converter = new ExcludeJsonLogToCode()

        def slurper = new JsonSlurper()

	method map[string]*methodType // registered methods
}

// Request is a header written before every RPC call. It is used internally
// but documented here as an aid to debugging, such as when analyzing
// network traffic.
type Request struct {
	ServiceMethod string   // format: "Service.Method"
	Seq           uint64   // sequence number chosen by client
	next          *Request // for free list in Server
}

		}
	}
}

func expectNoMessages(t test.Failer, g *GomegaWithT, output []string) {
	t.Helper()
	g.Expect(output).To(HaveLen(1))
	g.Expect(output[0]).To(ContainSubstring("No validation issues found when analyzing"))
}

func expectJSONMessages(t test.Failer, g *GomegaWithT, output string, expected ...*diag.MessageType) {
	t.Helper()

	var j []map[string]any
	if err := json.Unmarshal([]byte(output), &j); err != nil {

				instAlt = p.Inst[*p_A_Alt]
				if !(instAlt.Op == syntax.InstAlt || instAlt.Op == syntax.InstAltMatch) {
					continue
				}
			}
			instOther := p.Inst[*p_A_Other]
			// Analyzing both legs pointing to Alts is for another day
			if instOther.Op == syntax.InstAlt || instOther.Op == syntax.InstAltMatch {
				// too complicated
				continue
			}
			// simple empty transition loop

 * If invoked as `-Dorg.gradle.internal.operations.trace`, a base value of "operations" will be used.
 * <p>
 * The “trace” produced here is different to the trace produced by Gradle Profiler.
 * There, the focus is analyzing the performance profile.
 * Here, the focus is debugging/developing the information structure of build operations.
 *
 * @since 4.0
 */
@ServiceScope(Scope.CrossBuildSession.class)

=== Evaluating cache performance over time

Consider recording execution times of your builds, generating graphs, and analyzing the results.
Keep an eye out for certain patterns, like a build recompiling everything even though you expected compilation to be cached.