* See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import static com.google.common.graph.GraphConstants.ENDPOINTS_MISMATCH;
import static com.google.common.graph.TestUtil.assertEdgeNotInGraphErrorMessage;
import static com.google.common.truth.Truth.assertThat;
import static com.google.common.truth.TruthJUnit.assume;

Mas o **FastAPI** saberá que precisa solucionar `query_extractor` primeiro, para passar o resultado para `query_or_cookie_extractor` enquanto chama a função.

///

```mermaid
graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

query_extractor --> query_or_cookie_extractor --> read_query
```

/// tip

👆 🔜 👀 ⚫️❔ 🎏 "👜", ↖️ ⚪️➡️ 🔢, 💪 ⚙️ 🔗 ⏭ 📃.

///

🕐❔ 🆕 📨 🛬, **FastAPI** 🔜 ✊ 💅:

* 🤙 👆 🔗 ("☑") 🔢 ⏮️ ☑ 🔢.
* 🤚 🏁 ⚪️➡️ 👆 🔢.
* 🛠️ 👈 🏁 🔢 👆 *➡ 🛠️ 🔢*.

```mermaid
graph TB

common_parameters(["common_parameters"])
read_items["/items/"]
read_users["/users/"]

common_parameters --> read_items
common_parameters --> read_users
```

TF_CAPI_EXPORT extern TF_Buffer* TF_CreateRunOptions(
    unsigned char enable_full_trace);

// Returns the graph content in a human-readable format, with length set in
// `len`. The format is subject to change in the future.
// The returned string is heap-allocated, and caller should call free() on it.
TF_CAPI_EXPORT extern const char* TF_GraphDebugString(TF_Graph* graph,
                                                      size_t* len);

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import com.google.common.base.Optional;

/**
 * A base class for builders that construct graphs with user-defined properties.
 *
 * @author James Sexton
 */
abstract class AbstractGraphBuilder<N> {
  final boolean directed;
  boolean allowsSelfLoops = false;

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing...

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import static com.google.common.graph.GraphConstants.ENDPOINTS_MISMATCH;
import static com.google.common.truth.Truth.assertThat;
import static com.google.common.truth.TruthJUnit.assume;
import static org.junit.Assert.assertThrows;

/// info

👀 👈 👥 🕴 📣 1️⃣ 🔗 *➡ 🛠️ 🔢*, `query_or_cookie_extractor`.

✋️ **FastAPI** 🔜 💭 👈 ⚫️ ✔️ ❎ `query_extractor` 🥇, 🚶‍♀️ 🏁 👈 `query_or_cookie_extractor` ⏪ 🤙 ⚫️.

///

```mermaid
graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

query_extractor --> query_or_cookie_extractor --> read_query
```

## ⚙️ 🎏 🔗 💗 🕰

programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
Since models are practically programs that TensorFlow executes, using untrusted
models or graphs is equivalent to running untrusted code.

If you need to run untrusted models, execute them inside a

///

새로운 요청이 도착할 때마다, **FastAPI**는 다음을 처리합니다:

* 올바른 매개변수를 가진 의존성("디펜더블") 함수를 호출합니다.
* 함수에서 결과를 받아옵니다.
* *경로 작동 함수*에 있는 매개변수에 그 결과를 할당합니다

```mermaid
graph TB

common_parameters(["common_parameters"])
read_items["/items/"]
read_users["/users/"]

common_parameters --> read_items
common_parameters --> read_users
```