}

    /**
     * Returns whether the content is cached in memory.
     *
     * @return true if the content is in memory, false if it is in a file
     */
    public boolean isInMemory() {
        return data != null;
    }

    /**
     * Returns the content as a byte array.
     * If the content is cached in memory, a clone of the data is returned.

        // requireNonNull is safe because we always have either `file` or `memory`.
        requireNonNull(memory);
        return new ByteArrayInputStream(memory.getBuffer(), 0, memory.getCount());
      }
    }

    synchronized void reset() throws IOException {
      try {
        close();
      } finally {
        if (memory == null) {
          memory = new MemoryOutput();
        } else {
          memory.reset();

        cos.close();
        assertTrue(file.exists());
    }

    @Test
    public void testThresholdOne() throws IOException {
        // With threshold 1, writing 1 byte should stay in memory
        ContentOutputStream cos = new ContentOutputStream(1, Curl.tmpDir);
        cos.write(new byte[] { 1 });
        assertTrue(cos.isInMemory());
        assertFalse(cos.done);
        cos.close();
    }

        // Test that constructor accepts Error as cause (verifies Throwable parameter change)
        String message = "SSO login failed due to memory error";
        OutOfMemoryError error = new OutOfMemoryError("Not enough memory for SSO login");
        SsoLoginException exception = new SsoLoginException(message, error);

        assertEquals(message, exception.getMessage());

          "build-cache",
          "flow-services",
          "input-tracking",
          "internal-integ-testing",
          "model-core",
          "persistent-cache",
          "process-memory-services",
          "scala",
          "snapshots",
          "testing-base-infrastructure"
        ],
        "parallelizationMethod": {
          "name": "TestDistribution"
        }
      },

        long memory1 = MemoryUtil.getUsedMemory();
        assertTrue(memory1 >= 0);

        // Create some objects to change memory usage
        @SuppressWarnings("unused")
        String[] largeArray = new String[1000];
        for (int i = 0; i < 1000; i++) {
            largeArray[i] = "test" + i;
        }

        long memory2 = MemoryUtil.getUsedMemory();

        searchEngineClient = new SearchEngineClient() {
            @Override
            public long deleteByQuery(String index, QueryBuilder query) {
                throw new OutOfMemoryError("Out of memory");
            }
        };
        ComponentUtil.register(searchEngineClient, "searchEngineClient");

        // OutOfMemoryError is an Error, not Exception, so it will not be caught

        byte[] data = "Hello, World!".getBytes();
        ContentCache cache = new ContentCache(data);

        // Memory-based cache close should not throw exception
        cache.close();

        // Should still be able to get input stream after close for memory cache
        try (InputStream stream = cache.getInputStream()) {
            assertNotNull(stream);
        }
    }

    @Test

# ADR-0002 - Avoid using Java serialization

## Status

- ACCEPTED on 2023-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

 * }
 * public void testFooLeak() {
 *   GcFinalization.awaitClear(fooWeakRef());
 * }
 * }
 *
 * <p>This class cannot currently be used to test soft references, since this class does not try to
 * create the memory pressure required to cause soft references to be cleared.
 *
 * <p>This class only provides testing utilities. It is not designed for direct use in production or
 * for benchmarking.
 *
 * @author mike nonemacher