machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference...

                if (e.getNtStatus() == NtStatus.NT_STATUS_INVALID_PARAMETER) {
                    // Silently ignore invalid parameter errors - these may occur with certain server configurations
                    if (log.isDebugEnabled()) {
                        log.debug("Invalid parameter error.", e);
                    }
                    return;
                }

`OAuth2PasswordBearer` makes **FastAPI** know that it is a security scheme. So it is added that way to OpenAPI.

But `OAuth2PasswordRequestForm` is just a class dependency that you could have written yourself, or you could have declared `Form` parameters directly.

But as it's a common use case, it is provided by **FastAPI** directly, just to make it easier.

///

### Use the form data { #use-the-form-data }

/// tip

    /**
     * Retrieves data config settings with pagination support.
     *
     * @param body the search body containing pagination and filter parameters
     * @return JSON response containing list of data config settings
     */
    // GET /api/admin/dataconfig/settings
    // PUT /api/admin/dataconfig/settings
    @Execute

            searchPaging(data, form);
        });
    }

    /**
     * Returns to the failure URL list page with the current search form.
     *
     * @param form the search form containing current search parameters
     * @return HTML response for the failure URL list page
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse back(final SearchForm form) {

В примере выше модель входных данных — это модель Pydantic v1, а модель выходных данных (указанная в `response_model=ItemV2`) — это модель Pydantic v2.

### Параметры Pydantic v1 { #pydantic-v1-parameters }

     * actually read. Incedentally this is important to the
     * AndXServerMessageBlock class that needs to potentially
     * read in another smb's parameter words and bytes based on
     * information in it's andxCommand, andxOffset, ...etc.
     */

    /**
     * Writes the parameter words portion of the SMB message to the wire format.
     *
     * @param dst the destination buffer

        // Query parameter 'server' takes precedence
        UniAddress a1 = mock(UniAddress.class);
        when(nsc.getByName("srv-from-query")).thenReturn(a1);
        SmbResourceLocatorImpl l1 = locator("smb://host/share?server=srv-from-query");
        assertSame(a1, l1.getAddress());

        // Query parameter 'address' builds UniAddress from IP

          <version>${maven-compiler-plugin.version}</version>
          <configuration>
            <source>1.8</source>
            <target>1.8</target>
            <encoding>UTF-8</encoding>
            <parameters>true</parameters>
            <compilerArgs combine.children="override">
              <!-- https://errorprone.info/docs/installation#maven -->
              <arg>-XDcompilePolicy=simple</arg>

            });
        } catch (Exception e) {
            // Expected in test environment without proper SearchEngineClient
            // The important thing is that the method exists and accepts the correct parameters
        }

        // Verify that the scroll method exists with correct signature
        try {
            SearchEngineUtil.class.getMethod("scroll", String.class, java.util.function.Function.class);