2166          ; mapped                 ; 0076 0069 0069 #1.1  ROMAN NUMERAL SEVEN
2167          ; mapped                 ; 0076 0069 0069 0069 #1.1 ROMAN NUMERAL EIGHT
2168          ; mapped                 ; 0069 0078     # 1.1  ROMAN NUMERAL NINE
2169          ; mapped                 ; 0078          # 1.1  ROMAN NUMERAL TEN
216A          ; mapped                 ; 0078 0069     # 1.1  ROMAN NUMERAL ELEVEN

    ```Python hl_lines="1  3"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="1  3"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="3-4"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an.py!}
    ```

    ```Python hl_lines="10"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="10"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="11"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an.py!}
    ```

    ```Python hl_lines="1  3"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="1  3"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="3-4"
    {!> ../../../docs_src/path_params_numeric_validations/tutorial001_an.py!}
    ```

## Pathのインポート

まず初めに、`fastapi`から`Path`をインポートします:

```Python hl_lines="1"
{!../../../docs_src/path_params_numeric_validations/tutorial001.py!}
```

## メタデータの宣言

パラメータは`Query`と同じものを宣言することができます。

例えば、パスパラメータ`item_id`に対して`title`のメタデータを宣言するには以下のようにします:

```Python hl_lines="8"
{!../../../docs_src/path_params_numeric_validations/tutorial001.py!}
```

!!! note "備考"
    パスの一部でなければならないので、パスパラメータは常に必須です。

    if (!outputs[i]) continue;

    AbstractTensorHandlePtr numerical_grad;
    {
      AbstractTensorHandle* numerical_grad_raw;
      s = CalcNumericalGrad(ctx, model, inputs,
                            /*input_index=*/i, use_function,
                            &numerical_grad_raw);
      ASSERT_EQ(errors::OK, s.code()) << s.message();
      numerical_grad.reset(numerical_grad_raw);
    }

    TF_Tensor* numerical_tensor;

    TF_DeleteTensor(grad_tensor);
    dtheta_approx[i] = grad_data[0];
  }

  // Populate *numerical_grad with the data from dtheta_approx.
  TF_RETURN_IF_ERROR(TestTensorHandleWithDims<float, TF_FLOAT>(
      ctx, dtheta_approx.data(), theta_dims.data(), num_dims, numerical_grad));
  TF_DeleteTensor(theta_tensor);
  return absl::OkStatus();
}

}  // namespace gradients

   *
   * <p>This is guaranteed to return zero if the dataset contains only exactly one finite value. It
   * is not guaranteed to return zero when the dataset consists of the same value multiple times,
   * due to numerical errors. However, it is guaranteed never to return a negative result.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link

      return routes[nextRouteIndex++]
    }
  }

  companion object {
    /** Obtain a host string containing either an actual host name or a numeric IP address. */
    val InetSocketAddress.socketHost: String get() {
      // The InetSocketAddress was specified with a string (either a numeric IP or a host name). If
      // it is a name, all IPs for that name should be tried. If it is an IP address, only that IP
      // address should be tried.

it is a <a href="#Type_definitions">defined type</a>.
</p>

<h3 id="Numeric_types">Numeric types</h3>

<p>
An <i>integer</i>, <i>floating-point</i>, or <i>complex</i> type
represents the set of integer, floating-point, or complex values, respectively.
They are collectively called <i>numeric types</i>.
The predeclared architecture-independent numeric types are:
</p>

<pre class="grammar">