# Get Current User { #get-current-user }

In the previous chapter the security system (which is based on the dependency injection system) was giving the *path operation function* a `token` as a `str`:

{* ../../docs_src/security/tutorial001_an_py310.py hl[12] *}

But that is still not that useful.

Let's make it give us the current user.

## Create a user model { #create-a-user-model }

First, let's create a Pydantic user model.

      OkHttpClient
        .Builder()
        .trustMockServer()
        .dispatcher(Dispatcher(newVirtualThreadPerTaskExecutor()))
        .build()

    executor = newVirtualThreadPerTaskExecutor()

    // Capture non-deterministic but probable sysout warnings of pinned threads
    // https://docs.oracle.com/en/java/javase/21/core/virtual-threads.html
    System.setOut(PrintStream(capturedOut))
  }

  @AfterEach

         * negative so it with NT_STATUS_SUCCESS (0) the binary search will not be
         * performed properly. The effect is that the code at index 1 is never found
         * (NT_STATUS_UNSUCCESSFUL). So here we factor out NT_STATUS_SUCCESS
         * as a special case (which it is).
         */
        if (errcode == 0) {
            return "NT_STATUS_SUCCESS";
        }
        if ((errcode & 0xC0000000) == 0xC0000000) {

      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3
        if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }}
        with:
          limit-access-to-actor: true
        env:
          GITHUB_TOKEN: ${{ secrets.FASTAPI_TRANSLATIONS }}
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
      - name: FastAPI Translate
        run: |

        // Verify
        assertNull(result, "Authentication result should be null");

        // Capture the header value to verify its contents
        ArgumentCaptor<String> headerCaptor = ArgumentCaptor.forClass(String.class);
        verify(mockResponse).setHeader(eq("WWW-Authenticate"), headerCaptor.capture());
        String headerValue = headerCaptor.getValue();

		} else if fwd := r.Header.Get(forwarded); fwd != "" {
			// match should contain at least two elements if the protocol was
			// specified in the Forwarded header. The first element will always be
			// the 'for=' capture, which we ignore. In the case of multiple IP
			// addresses (for=8.8.8.8, 8.8.4.4, 172.16.1.20 is valid) we only
			// extract the first, which should be the client IP.

    }

    /**
     * Converts a Lucene BooleanQuery to an OpenSearch BoolQueryBuilder.
     * @param context The query context.
     * @param booleanQuery The boolean query to convert.
     * @param boost The boost factor to apply.
     * @return The converted BoolQueryBuilder.
     */
    protected QueryBuilder convertBooleanQuery(final QueryContext context, final BooleanQuery booleanQuery, final float boost) {

- Already compressed objects are not fit for compression since they do not have compressible patterns.
Such objects do not produce efficient [`LZ compression`](https://en.wikipedia.org/wiki/LZ77_and_LZ78)
which is a fitness factor for a lossless data compression.

Pre-compressed input typically compresses in excess of 2GiB/s per core,
so performance impact should be minimal even if precompressed data is re-compressed.

void TF_OutputListPushBack(TF_OutputList* o, TF_AbstractTensor* tensor,
                           TF_Status*);

// TF_ExecuteOperation will, if in eager mode, execute, if in graph mode, maybe
// capture some inputs and then add a node in the graph. The output tensors are
// returned through the provided TF_OutputList.
// Any active tape will observe the effects of this execution.

 * </p>
 * <p>
 * If no pattern is specified, the pattern used for conversion depends on the locale as follows:
 * </p>
 * <table border="1">
 * <caption>Conversion Patterns</caption>
 * <tr>
 * <th>Category</th>
 * <th>Pattern</th>
 * <th>Example for {@link Locale#JAPANESE}</th>
 * </tr>
 * <tr>
 * <td rowspan="4">Standard formats of {@link DateFormat}</td>