// Represents a (partially-defined) shape.
typedef struct TF_Shape {
  int num_dims;  // Must be >= -1; -1 represents unknown rank.
  int64_t* dim_sizes;
} TF_Shape;

// Add a new parameter to a TensorFlow Function.
TF_AbstractTensor* TF_AddFunctionParameter(TF_ExecutionContext* func,
                                           TF_DataType dtype, TF_Shape shape,
                                           TF_Status* s);

            }

            try {
                return send0(loc, request, response, params);
            } catch (final SmbException smbe) {
                // Retrying only makes sense if the invalid parameter is an tree id. If we have a stale file descriptor
                // retrying make no sense, as it will never become available again.
                if (params.contains(RequestParam.NO_RETRY)

# Cookie 参数模型 { #cookie-parameter-models }

如果您有一组相关的 **cookie**，您可以创建一个 **Pydantic 模型**来声明它们。🍪

这将允许您在**多个地方**能够**重用模型**，并且可以一次性声明所有参数的验证方式和元数据。😎

/// note | 注意

自 FastAPI 版本 `0.115.0` 起支持此功能。🤓

///

/// tip | 提示

此技术同样适用于 `Query` 、 `Cookie` 和 `Header` 。😎

///

## 带有 Pydantic 模型的 Cookie { #cookies-with-a-pydantic-model }

在 **Pydantic** 模型中声明所需的 **cookie** 参数，然后将参数声明为 `Cookie` ：

   * @param numElements the number of elements to be waited for
   * @param timeout how long to wait before giving up, in units of {@code unit}
   * @param unit a {@code TimeUnit} determining how to interpret the timeout parameter
   * @return the number of elements transferred
   * @throws InterruptedException if interrupted while waiting
   */
  @CanIgnoreReturnValue
  @J2ktIncompatible
  @GwtIncompatible // BlockingQueue

It is designed to have functions that receive two parameters, one "request" and one "response". Then you "read" parts from the request, and "write" parts to the response. Because of this design, it is not possible to declare request parameters and bodies with standard Python type hints as function parameters.

    TypeToken<Holder<?>> type = new TypeToken<Holder<?>>() {};
    ImmutableList<Parameter> parameters =
        type.method(Holder.class.getDeclaredMethod("setList", List.class)).getParameters();
    assertThat(parameters).hasSize(1);
    TypeToken<?> parameterType = parameters.get(0).getType();
    assertEquals(List.class, parameterType.getRawType());
    assertFalse(

   * equal to any other equality groups added to this tester.
   *
   * <p>The {@code @Nullable} annotations on the {@code equalityGroup} parameter imply that the
   * objects, and the array itself, can be null. That is for programmer convenience, when the
   * objects come from factory methods that are themselves {@code @Nullable}. In reality neither the

        regularMap.put("key1", "value1");

        Map<String, Object> result = DataStoreParams.getDataMap(regularMap);
        assertSame(regularMap, result);
    }

    // Test protected constructor with Map parameter
    @Test
    public void test_protectedConstructor() {
        Map<String, Object> inputMap = new HashMap<>();
        inputMap.put("key1", "value1");
        inputMap.put("key2", 456);

        },
        "HashMap w/out null values",
        ALLOWS_NULL_KEYS);
  }

  /**
   * Map generator that verifies that {@code setUp()} methods are called in all the test cases. The
   * {@code setUpRan} parameter is set true by the {@code setUp} that every test case is supposed to
   * have registered, and set false by the {@code tearDown}. We use a dynamic proxy to intercept all

import jakarta.annotation.PostConstruct;
import jakarta.annotation.PreDestroy;

/**
 * Groovy script engine implementation that extends AbstractScriptEngine.
 * This class provides support for executing Groovy scripts with parameter binding
 * and DI container integration.
 *
 * <p>Thread Safety: This class is thread-safe. Each cached entry holds its own
 * GroovyClassLoader. The cache uses Guava Cache with segment-based locking for