},
		config.HelpKV{
			Key:         ClaimUserinfo,
			Description: `Enable fetching claims from UserInfo Endpoint for authenticated user` + defaultHelpPostfix(ClaimUserinfo),
			Optional:    true,
			Type:        "on|off",
		},
		config.HelpKV{
			Key:         KeyCloakRealm,

@echo off

setlocal
%~d0
cd %~p0
call _project.bat

:: tilde to remove double quotation
set FIRST_ARG=%~1
if "%FIRST_ARG%"=="" set FIRST_ARG=""
set SECOND_ARG=%2
if "%SECOND_ARG%"=="" set SECOND_ARG=""

call %DBFLUTE_HOME%\etc\cmd\_df-manage.cmd %MY_PROPERTIES_PATH% "%FIRST_ARG%" %SECOND_ARG%

if "%pause_at_end%"=="y" (
  pause

  private static class Control extends AbstractNonStreamingHashFunction {
    @Override
    public HashCode hashBytes(byte[] input, int off, int len) {
      return HashCode.fromBytes(Arrays.copyOfRange(input, off, off + len));
    }

    @Override
    public int bits() {
      throw new UnsupportedOperationException();
    }
  }

```
mc admin config set myminio identity_tls --env
KEY:
identity_tls  enable X.509 TLS certificate SSO support

ARGS:
MINIO_IDENTITY_TLS_SKIP_VERIFY  (on|off)    trust client certificates without verification. Defaults to "off" (verify)
```

The MinIO TLS STS API is disabled by default. However, it can be *enabled* by setting environment variable:

```
export MINIO_IDENTITY_TLS_ENABLE=on
```

    }

    @Override
    protected void update(byte b) {
      checkNotDone();
      digest.update(b);
    }

    @Override
    protected void update(byte[] b, int off, int len) {
      checkNotDone();
      digest.update(b, off, len);
    }

    @Override
    protected void update(ByteBuffer bytes) {
      checkNotDone();
      digest.update(bytes);
    }

    private void checkNotDone() {

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

          hasher.putBytes(bytes);
        }
        return this;
      }

      @Override
      public Hasher putBytes(byte[] bytes, int off, int len) {
        for (Hasher hasher : hashers) {
          hasher.putBytes(bytes, off, len);
        }
        return this;
      }

      @Override
      public Hasher putBytes(ByteBuffer bytes) {
        int pos = bytes.position();

                    it.associateWith { CheckSeverity.OFF }
                }

                nullaway {
                    checkContracts = true
                    isJSpecifyMode = true
                    severity = errorproneExtension.nullawayEnabled.map { if (it) CheckSeverity.ERROR else CheckSeverity.OFF }
                }
            }
        }
    }
}

  /**
   * Shortcut for {@code newHasher().putBytes(input, off, len).hash()}. The implementation
   * <i>might</i> perform better than its longhand equivalent, but should not perform worse.
   *
   * @throws IndexOutOfBoundsException if {@code off < 0} or {@code off + len > bytes.length} or
   *     {@code len < 0}
   */
  HashCode hashBytes(byte[] input, int off, int len);

  /**

  /**
   * Shortcut for {@code newHasher().putBytes(input, off, len).hash()}. The implementation
   * <i>might</i> perform better than its longhand equivalent, but should not perform worse.
   *
   * @throws IndexOutOfBoundsException if {@code off < 0} or {@code off + len > bytes.length} or
   *     {@code len < 0}
   */
  HashCode hashBytes(byte[] input, int off, int len);

  /**