return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sau đó có thể được sử dụng:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像这样来使用：

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```


/// info

        }
        String prefix = (moduleName == null) ? "" : (moduleName + '=');
        StringJoiner joiner = new StringJoiner(File.pathSeparator, prefix, "");
        joiner.setEmptyValue("");
        for (Path p : paths) {
            joiner.add(p.toString());
        }
        String value = joiner.toString();
        if (value.isEmpty()) {
            return new String[0];
        }

      for (String separator : ImmutableList.of(",", "\n", ";;", "")) {
        testEncoding(
            encoding.withSeparator(separator, sepLength),
            decoded,
            Joiner.on(separator).join(Splitter.fixedLength(sepLength).split(encoded)));
      }
    }
  }

  private static void testEncoding(BaseEncoding encoding, String decoded, String encoded) {
    testEncodes(encoding, decoded, encoded);

 *
 * @author Ben Yu
 */
@ElementTypesAreNonnullByDefault
final class Types {

  /** Class#toString without the "class " and "interface " prefixes */
  private static final Joiner COMMA_JOINER = Joiner.on(", ").useForNull("null");

  /** Returns the array type of {@code componentType}. */
  static Type newArrayType(Type componentType) {
    if (componentType instanceof WildcardType) {

    return user_id


# Pydantic 모델
class User(BaseModel):
    id: int
    name: str
    joined: date
```

위의 코드는 다음과 같이 사용될 수 있습니다:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | "정보"

  server_def.set_protocol("grpc");
  server_def.set_job_name(job_name);
  server_def.set_task_index(0);
  tensorflow::ClusterDef* cluster_def = server_def.mutable_cluster();
  tensorflow::JobDef* job_def = cluster_def->add_job();
  job_def->set_name(job_name);
  for (int i = 0; i < num_tasks; i++) {
    int port = tensorflow::testing::PickUnusedPortOrDie();
    job_def->mutable_tasks()->insert(

Es wäre tatsächlich üblich, Requests *innerhalb* einer FastAPI-Anwendung zu verwenden.

Dennoch erhielt FastAPI von Requests einiges an Inspiration.

**Requests** ist eine Bibliothek zur *Interaktion* mit APIs (als Client), während **FastAPI** eine Bibliothek zum *Erstellen* von APIs (als Server) ist.

		t.Fatalf("Unexpected output for '%s %s'\n got: %q\nwant: %q", cmd.Name(),
			strings.Join(c.Args, " "), output, c.ExpectedOutput)
	}

	if c.ExpectedRegexp != nil && !c.ExpectedRegexp.MatchString(output) {
		t.Fatalf("Output didn't match for '%s %s'\n got %v\nwant: %v", cmd.Name(),
			strings.Join(c.Args, " "), output, c.ExpectedRegexp)
	}

	if c.GoldenFilename != "" {

Ben Leggett <******@****.***> 1722537494 -0400