Platforms typically extend the features of other platforms to add this support.

By understanding the Gradle platforms and their relationships, you can get a feel for where in the Gradle source tree a particular feature is implemented.

See [Gradle platform architecture](platforms.md) for a list of the platforms and more details.

### Gradle runtimes

            throw new RuntimeException(e);
        }
    }

    // Utility: reflectively get a private/protected field (searches up the hierarchy)
    private static Object getField(Object target, String name) {
        try {
            Field f = findField(target.getClass(), name);
            f.setAccessible(true);
            return f.get(target);
        } catch (Exception e) {
            throw new RuntimeException(e);
        }

      @ParametricNullness K key, @ParametricNullness V value, boolean force) {
    checkKey(key);
    checkValue(value);
    boolean containedKey = containsKey(key);
    if (containedKey && Objects.equals(value, get(key))) {
      return value;
    }
    if (force) {
      inverse().remove(value);
    } else {
      checkArgument(!containsValue(value), "value already present: %s", value);
    }

func getTrace(traceLevel int) []string {
	var trace []string
	pc, file, lineNumber, ok := runtime.Caller(traceLevel)

	for ok && file != "" {
		// Clean up the common prefixes
		file = trimTrace(file)
		// Get the function name
		_, funcName := filepath.Split(runtime.FuncForPC(pc).Name())
		// Skip duplicate traces that start with file name, "<autogenerated>"
		// and also skip traces with function name that starts with "runtime."

    HISTORICAL_PERFORMANCE(
        "Historical Performance",
        "Once a week: Run performance tests for multiple Gradle versions",
        "HistoricalPerformance",
    ),
    ;

    val id: String
        get() = stageName.replace(" ", "").replace("-", "")
}

private val performanceRegressionTestCoverages =
    listOf(
        PerformanceTestCoverage(
            1,
            PerformanceTestType.PER_COMMIT,

            cb.query().addOrderBy_SortOrder_Asc();
        });
        if (list.isEmpty()) {
            return OptionalEntity.empty();
        }
        return OptionalEntity.of(list.get(0));
    }

    /**
     * Stores a file configuration in the database.
     * This method encrypts the configuration parameters before saving and

        /**
         * Returns the algorithm end result as string, never {@code null}. After invoking this method, this instance should
         * be discarded and not reused. For new checksum calculation you have to get new instance.
         */
        @Nonnull
        String checksum();
    }

#### A "professional" attack { #a-professional-attack }

Of course, the attackers would not try all this by hand, they would write a program to do it, possibly with thousands or millions of tests per second. And they would get just one extra correct letter at a time.

But doing that, in some minutes or hours the attackers would have guessed the correct username and password, with the "help" of our application, just using the time taken to answer.

	m.mu.RUnlock()
	if ok {
		return b.updateCacheEntry(update)
	}

	// We should have either a trashed bucket or this
	return metacache{}, errVolumeNotFound
}

// getBucket will get a bucket metacache or load it from disk if needed.
func (m *metacacheManager) getBucket(ctx context.Context, bucket string) *bucketMetacache {
	m.init.Do(m.initManager)

		reqRecorder := &xhttp.RequestRecorder{Reader: r.Body}
		r.Body = reqRecorder

		// Create tracing data structure and associate it to the request context
		tc := mcontext.TraceCtxt{
			AmzReqID:         w.Header().Get(xhttp.AmzRequestID),
			RequestRecorder:  reqRecorder,
			ResponseRecorder: respRecorder,
		}

		r = r.WithContext(context.WithValue(r.Context(), mcontext.ContextTraceKey, &tc))

		reqStartTime := time.Now().UTC()