* Вызове вашей зависимости («dependable») с корректными параметрами.
* Получении результата из вашей функции.
* Присваивании этого результата параметру в вашей *функции обработки пути*.

```mermaid
graph TB

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

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

use a term commonly used by machine learning practitioners) are expressed as
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

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import java.util.Set;
import org.jspecify.annotations.Nullable;

/**
 * A class to allow {@link Network} implementations to be backed by a provided delegate. This is not

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import static com.google.common.truth.Truth.assertThat;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Random;
import java.util.RandomAccess;

import org.apache.maven.project.artifact.InvalidDependencyVersionException;
import org.apache.maven.project.artifact.ProjectArtifactsCache;
import org.eclipse.aether.graph.Dependency;
import org.eclipse.aether.graph.DependencyFilter;
import org.eclipse.aether.graph.DependencyNode;
import org.eclipse.aether.util.filter.AndDependencyFilter;
import org.eclipse.aether.util.filter.ScopeDependencyFilter;
import org.slf4j.Logger;

namespace tensorflow {

// Abstract interface to a Tensor handle in either tracing or immediate
// execution mode.
class AbstractTensorHandle : public core::RefCounted {
 protected:
  enum AbstractTensorHandleKind { kGraph, kMlir, kEager, kTfrt, kCustomDevice };
  explicit AbstractTensorHandle(AbstractTensorHandleKind kind) : kind_(kind) {}
  ~AbstractTensorHandle() override {}

 public:
  // Returns tensor dtype.

Но **FastAPI** будет знать, что сначала он должен выполнить `query_extractor`, чтобы передать результаты этого в `query_or_cookie_extractor` при его вызове.

///

```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
```

      "https://mew.org/",
      "https://tls13.baishancloud.com/",
      "https://tls13.akamai.io/",
      "https://swifttls.org/",
      "https://www.googleapis.com/robots.txt",
      "https://graph.facebook.com/robots.txt",
      "https://api.twitter.com/robots.txt",
      "https://connect.squareup.com/robots.txt",
    )

  println("TLS1.3+TLS1.2")
  testClient(urls, buildClient(ConnectionSpec.RESTRICTED_TLS))

                                       TF_Status* status);

// Enables only graph collection in RunMetadata on the functions executed from
// this context.
TF_CAPI_EXPORT extern void TFE_ContextEnableGraphCollection(TFE_Context* ctx);

// Disables only graph collection in RunMetadata on the functions executed from
// this context.

    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "graph-isolation",
    "path": "platforms/core-configuration/graph-isolation",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "graph-serialization",
    "path": "platforms/core-configuration/graph-serialization",
    "unitTests": false,
    "functionalTests": false,