}

    @Override
    public void finalizeReferent() {
      finalizeReferentCalled = true;
    }
  }

  /**
   * Keeps a weak reference to the underlying reference queue. When this reference is cleared, we
   * know that the background thread has stopped and released its strong reference.
   */
  private WeakReference<ReferenceQueue<Object>> queueReference;

  @Test
  public void testThatFinalizerStops() {

        crawlingInfoHelper.putToInfoMap("error_count", "5");

        // Store with create=true
        crawlingInfoHelper.store(sessionId, true);

        // Verify infoMap is cleared
        assertNull(crawlingInfoHelper.infoMap);
    }

    public void test_store_existing() {
        final String sessionId = "existing-session";
        final CrawlingInfo existingInfo = new CrawlingInfo();

        for (WeakReference<Class<? extends Exception>> knownGood : validClasses) {
          if (exceptionClass.equals(knownGood.get())) {
            return;
          }
          // TODO(cpovirk): if reference has been cleared, remove it?
        }
        checkExceptionClassValidity(exceptionClass);

        /*
         * It's very unlikely that any loaded Futures class will see getChecked called with more

/// check

So, with the same Python type declaration, **FastAPI** gives you data validation.

Notice that the error also clearly states exactly the point where the validation didn't pass.

This is incredibly helpful while developing and debugging code that interacts with your API.

///

## Documentation { #documentation }

        assertSame(d, r1, "nextElement should return the same instance");
        // After first call isPrimary should be false
        assertFalse(d.getIsPrimary(), "isPrimary should be cleared after first call");
        // Second call keeps the same state
        SmbComTransactionResponse r2 = (SmbComTransactionResponse) d.nextElement();
        assertSame(d, r2, "Subsequent calls still return same instance");

        for (WeakReference<Class<? extends Exception>> knownGood : validClasses) {
          if (exceptionClass.equals(knownGood.get())) {
            return;
          }
          // TODO(cpovirk): if reference has been cleared, remove it?
        }
        checkExceptionClassValidity(exceptionClass);

        /*
         * It's very unlikely that any loaded Futures class will see getChecked called with more

        List<FileNotifyInformation> result = sut.watch();

        assertSame(info, result, "Should return same list instance");
        verify(info, times(1)).clear();
        assertTrue(result.isEmpty(), "List should be cleared");
    }

    // Parameterized test to exercise SMB2 with different recursive and filter values
    @ParameterizedTest(name = "SMB2 param: recursive={0}, filter={1}")
    @CsvSource({ "true, 0", "false, -1" })

    return new FilterReader(reader) {
      @Override
      public int read(char[] cbuf, int off, int len) throws IOException {
        // if a buffer isn't being cleared correctly, this method will eventually start being called
        // with a len of 0 forever
        if (len <= 0) {
          fail("read called with a len of " + len);
        }

    return new FilterReader(reader) {
      @Override
      public int read(char[] cbuf, int off, int len) throws IOException {
        // if a buffer isn't being cleared correctly, this method will eventually start being called
        // with a len of 0 forever
        if (len <= 0) {
          fail("read called with a len of " + len);
        }

* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**: