public void testAnalyzeWithDifferentFields() {
        // Test analyze with different field settings
        String text = "test content";
        String lang = "en";

        // Test with different field names
        List<AnalyzeToken> tokensContent = analyzer.analyze(text, "content", lang);
        assertNotNull(tokensContent);
        assertEquals(2, tokensContent.size());

			}
		}
	}
}

type importMetaReport struct {
	madmin.BucketMetaImportErrs
}

func (i *importMetaReport) SetStatus(bucket, fname string, err error) {
	st := i.Buckets[bucket]
	var errMsg string
	if err != nil {
		errMsg = err.Error()
	}
	switch fname {
	case bucketPolicyConfig:
		st.Policy = madmin.MetaStatus{IsSet: true, Err: errMsg}
	case bucketNotificationConfig:

struct {
	T1        // field name is T1
	*T2       // field name is T2
	P.T3      // field name is T3
	*P.T4     // field name is T4
	x, y int  // field names are x and y
}
</pre>

<p>
The following declaration is illegal because field names must be unique
in a struct type:
</p>

<pre>
struct {
	T     // conflicts with embedded field *T and *P.T

errors.design_jsp_file_does_not_exist = The JSP file does not exist.
errors.design_file_name_is_not_found = The file name is not specified.
errors.failed_to_write_design_image_file = Failed to upload an image file.
errors.failed_to_update_jsp_file = Failed to update the JSP file.
errors.design_file_name_is_invalid = The file name is invalid.
errors.design_file_is_unsupported_type = This file type is unsupported.

errors.design_jsp_file_does_not_exist = The JSP file does not exist.
errors.design_file_name_is_not_found = The file name is not specified.
errors.failed_to_write_design_image_file = Failed to upload an image file.
errors.failed_to_update_jsp_file = Failed to update the JSP file.
errors.design_file_name_is_invalid = The file name is invalid.
errors.design_file_is_unsupported_type = This file type is unsupported.

def main(user_id: str):
    return user_id


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

That can then be used like:

```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

     * @param name The name of the field.
     * @param value The value of the field.
     * @return The result data body.
     */
    protected String getResultDataBody(final String name, final String value) {
        // TODO: Support other XML footer types
        // TODO: Support other field types and trimming options

    }

  private fun applyLogger(fn: Logger.() -> Unit) {
    Logger.getLogger(OkHttpClient::class.java.`package`.name).fn()
    Logger.getLogger(OkHttpClient::class.java.name).fn()
    Logger.getLogger(Http2::class.java.name).fn()
    Logger.getLogger(TaskRunner::class.java.name).fn()
    Logger.getLogger("javax.net.ssl").fn()
  }

        writeTimeout = checkDuration("duration", duration)
      }

    /**
     * Sets the interval between HTTP/2 and web socket pings initiated by this client. Use this to
     * automatically send ping frames until either the connection fails or it is closed. This keeps
     * the connection alive and may detect connectivity failures.
     *

Debido a eso, las versiones de FastAPI anteriores a 0.99.0 todavía usaban versiones de OpenAPI menores a 3.1.0.

///

### `examples` de Pydantic y FastAPI

Cuando añades `examples` dentro de un modelo de Pydantic, usando `schema_extra` o `Field(examples=["algo"])`, ese ejemplo se añade al **JSON Schema** para ese modelo de Pydantic.