class CustomTrust {
  // PEM files for root certificates of Comodo and Entrust. These two CAs are sufficient to view
  // https://publicobject.com (Comodo) and https://squareup.com (Entrust). But they aren't
  // sufficient to connect to most HTTPS sites including https://godaddy.com and https://visa.com.
  // Typically developers will need to get a PEM file from their organization's TLS administrator.
  val comodoRsaCertificationAuthority =
    """

     */
    @ParameterizedTest
    @MethodSource("provideErrorClassAndCodeForGetErrorString")
    @DisplayName("getErrorString should return correct messages for all defined error classes and codes")
    void testGetErrorString(int errorClass, int errorCode, String expectedMessage) {
        assertEquals(expectedMessage, NbtException.getErrorString(errorClass, errorCode),

Let's look at how we can make that work.

## pytest.mark.anyio { #pytest-mark-anyio }

        NdrLong ndrLong = new NdrLong(testValue);

        // Call the encode method
        ndrLong.encode(mockNdrBuffer);

        // Verify that enc_ndr_long was called exactly once with the correct value
        verify(mockNdrBuffer, times(1)).enc_ndr_long(testValue);
        // Verify that no other interactions occurred with the mock buffer
        verifyNoMoreInteractions(mockNdrBuffer);
    }

    @Test

```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.

### 5. (optional) Any other info / logs

Because we can trust it to receive the `username` and `password`, as we control it.

But if you are building an OAuth2 application that others would connect to (i.e., if you are building an authentication provider equivalent to Facebook, Google, GitHub, etc.) you should use one of the other flows.

The most common is the implicit flow.

     * encoded as four 0xFF bytes by {@code writeUTime}.
     */
    @ParameterizedTest(name = "fid={0}, lastWriteTime={1}")
    @MethodSource("validParams")
    @DisplayName("happy: writeParameterWordsWireFormat writes correct bytes")
    void testWriteParameterWordsWireFormat(int fid, long lastWriteTime, byte[] expected) {
        SmbComClose close = new SmbComClose(fid, lastWriteTime);
        byte[] buffer = new byte[10];

## About Starlette { #about-starlette }

You shouldn't pin the version of `starlette`.

Different versions of **FastAPI** will use a specific newer version of Starlette.

So, you can just let **FastAPI** use the correct Starlette version.

## About Pydantic { #about-pydantic }

Pydantic includes the tests for **FastAPI** with its own tests, so new versions of Pydantic (above `1.0.0`) are always compatible with FastAPI.

      "https://tls13.akamai.io/",
      "https://swifttls.org/",
      "https://www.googleapis.com/robots.txt",
      "https://graph.facebook.com/robots.txt",
      "https://api.twitter.com/robots.txt",
      "https://connect.squareup.com/robots.txt",
    )

  println("TLS1.3+TLS1.2")
  testClient(urls, buildClient(ConnectionSpec.RESTRICTED_TLS))

  println("\nTLS1.3 only")
  testClient(urls, buildClient(TLS_13))

fields with incorrect case will no longer be valid. You must correct these files before upgrading.** When specifying keys in JSON resource definitions during direct API server communication, the keys are case-sensitive. A bug introduced in Kubernetes 1.8 caused the API server to accept a request with incorrect case and coerce it to correct case, but this behaviour has been fixed in 1.11 and the API server will once again be enforcing the correct case. It’s worth noting that during this time, the `kubectl`...