TF_ShapeAndTypeList** shape_list_array, int num_items);

// Infer shapes for the given `op`. The arguments mimic the arguments of the
// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.

                "          frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" \n" +
                "          referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen> \n" +
                "        </iframe> \n" +
                "    </div> \n" +
                "  </div> \n" +

Sadece `Depends`'e verirsiniz ve gerisini **FastAPI** nasıl yapacağını bilir.

///

## `Annotated` Dependency'lerini Paylaşın { #share-annotated-dependencies }

Yukarıdaki örneklerde, ufak bir **kod tekrarı** olduğunu görüyorsunuz.

				// Reading first time on this disk, hence the buffer needs to be allocated.
				// Subsequent reads will reuse this buffer.
				p.buf[bufIdx] = make([]byte, p.shardSize)
			}
			// For the last shard, the shardsize might be less than previous shard sizes.
			// Hence the following statement ensures that the buffer size is reset to the right size.
			p.buf[bufIdx] = p.buf[bufIdx][:p.shardSize]
			n, err := rr.ReadAt(p.buf[bufIdx], p.offset)

   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *
   * In part because Cells are relatively large, we avoid creating

Você apenas envia para `Depends` e o **FastAPI** sabe como fazer o resto.

///

## Compartilhando dependências `Annotated` { #share-annotated-dependencies }

Nos exemplos acima, você pode ver que existe uma pequena **duplicação de código**.

```

这样，你只需编写一次共享代码，**FastAPI** 会在你的*路径操作*中为你调用它。

/// check | 检查

注意，无需创建专门的类并传给 **FastAPI** 去“注册”之类的操作。

只要把它传给 `Depends`，**FastAPI** 就知道该怎么做了。

///

## 共享 `Annotated` 依赖项 { #share-annotated-dependencies }

在上面的示例中，你会发现这里有一点点**代码重复**。

当你需要使用 `common_parameters()` 这个依赖时，你必须写出完整的带类型注解和 `Depends()` 的参数：

```Python
commons: Annotated[dict, Depends(common_parameters)]
```

            } else {
                repoMetadata.setMetadata(metadata);
                setRepository = true;
            }
        }
        return setRepository;
    }

    /*
     * TODO share with DefaultPluginMappingManager.
     */
    protected Metadata readMetadata(File mappingFile) throws RepositoryMetadataReadException {

        try (InputStream in = Files.newInputStream(mappingFile.toPath())) {

        try {
            return Class.forName(
                name,
                // Don't initialize the class to save time. Not needed for this test and this doesn't share a VM with any other tests.
                false,
                isolatedClassLoader
            );
        } catch (ClassNotFoundException e) {

        final Path baseDir = Files.createDirectories(tempDir.resolve("vardata"));
        System.setProperty("fess.var.path", baseDir.toString());

        // A directory that does NOT share the prefix
        final Path otherDir = Files.createDirectories(tempDir.resolve("other"));
        final File fileInOther = new File(otherDir.toFile(), "test.txt");
        fileInOther.createNewFile();