</module>

        <!-- Design -->
        <!--
        <module name="InterfaceIsType"/>
        -->

			Number:   9920,
			Location: "Shadyside",
			IsIntern: false,
		},
		CustomSerializerString: "world",
	}

	// first time insert record
	out := SerializerStruct{}
	if err := DB.Assign(data).FirstOrCreate(&out).Error; err != nil {
		t.Fatalf("failed to FirstOrCreate Assigned data, got error %v", err)
	}

	var result SerializerStruct
	if err := DB.First(&result, out.ID).Error; err != nil {

/// tip

You don't have to add metadata for all the tags that you use.

///

### Use your tags { #use-your-tags }

Use the `tags` parameter with your *path operations* (and `APIRouter`s) to assign them to different tags:

{* ../../docs_src/metadata/tutorial004_py39.py hl[21,26] *}

/// info

Read more about tags in [Path Operation Configuration](path-operation-configuration.md#tags){.internal-link target=_blank}.

     * which pages you deem most important for the crawlers.
     *
     * The default priority of a page is 0.5.
     *
     * Please note that the priority you assign to a page is not likely to
     * influence the position of your URLs in a search engine's result pages.
     * Search engines may use this information when selecting between URLs on

Then with `random.choice()` we can get a **random value** from the list, so, we get a tuple with `(id, name)`. It will be something like `("imdb-tt0371724", "The Hitchhiker's Guide to the Galaxy")`.

Then we **assign those two values** of the tuple to the variables `id` and `name`.

So, if the user didn't provide an item ID, they will still receive a random suggestion.

    std::unique_ptr<CSession> expected_csession(
        new CSession(expected_graph_, s_));

    std::vector<TF_Output> grad_outputs_vec;
    grad_outputs_vec.assign(grad_outputs, grad_outputs + 2);
    csession->SetOutputs(grad_outputs_vec);
    csession->Run(s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
    TF_Tensor* out0 = csession->output_tensor(0);

  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  TF_GraphCopyFunction(host_graph_, func_, grad_func2, s_);
  EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_));
  EXPECT_EQ(string("Cannot assign gradient function 'MyGrad2' to 'MyFunc' "
                   "because it already has gradient function 'MyGrad1'"),
            string(TF_Message(s_)));

  TF_DeleteFunction(grad_func1);

# História, Design e Futuro { #history-design-and-future }

Há algum tempo, <a href="https://github.com/fastapi/fastapi/issues/3#issuecomment-454956920" class="external-link" target="_blank">um usuário **FastAPI** perguntou</a>:

> Qual é a história desse projeto? Parece que surgiu do nada e se tornou incrível em poucas semanas [...]

Aqui está um pouco dessa história.

## Alternativas { #alternatives }

# Historia, Diseño y Futuro { #history-design-and-future }

Hace algún tiempo, <a href="https://github.com/fastapi/fastapi/issues/3#issuecomment-454956920" class="external-link" target="_blank">un usuario de **FastAPI** preguntó</a>:

> ¿Cuál es la historia de este proyecto? Parece haber surgido de la nada y ser increíble en pocas semanas [...]

Aquí hay un poquito de esa historia.

## Alternativas { #alternatives }

<p>
An <i>assignment</i> replaces the current value stored in a <a href="#Variables">variable</a>
with a new value specified by an <a href="#Expressions">expression</a>.
An assignment statement may assign a single value to a single variable, or multiple values to a
matching number of variables.
</p>

<pre class="ebnf">
Assignment = ExpressionList assign_op ExpressionList .