The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

### About `**user_in.dict()` { #about-user-in-dict }

#### Pydantic's `.dict()` { #pydantics-dict }

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

import org.lastaflute.web.validation.theme.conversion.ValidateTypeFailure;

/**
 * Form class for editing job log entries in the admin interface.
 * This form handles the editing of system job execution logs,
 * providing details about scheduled tasks and their execution status.
 */
public class EditForm {

    /**
     * Creates a new EditForm instance.
     */
    public EditForm() {
        // Default constructor
    }

    /**

    /**
     * Replaces the entry with key in the cache map with this referral
     */
    void replaceCache();

    /**
     * Not exactly sure what that is all about, certainly legacy stuff
     *
     * @return resolveHashes
     */
    boolean isResolveHashes();

    /**
     * Check if this referral needs to be resolved further
     *

import jcifs.internal.util.SMBUtil;

/**
 * SMB1 NetShareEnum response message for enumerating network shares on a server.
 * This class handles the response data from a NetShareEnum RPC call, which returns
 * information about all available shares on the target server.
 */
public class NetShareEnumResponse extends SmbComTransactionResponse {

    private static final Logger log = LoggerFactory.getLogger(NetShareEnumResponse.class);

title: "import/path: issue title"

body:
  - type: markdown
    attributes:
      value: |
        Thanks for helping us improve! 🙏 Please answer these questions and provide as much information as possible about your problem.

  - type: input
    id: go-version
    attributes:
      label: Go version
      description: |
        What version of Go are you using (`go version`)?

import org.apache.maven.api.model.Model;

/**
 * Collects problems that are encountered during model building. The primary purpose of this component is to account for
 * the fact that the problem reporter has/should not have information about the calling context and hence cannot provide
 * an expressive source hint for the model problem. Instead, the source hint is configured by the model builder before

---
name: TensorFlow Lite Converter Issue
about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

import jcifs.internal.smb1.AndXServerMessageBlock;
import jcifs.internal.smb1.ServerMessageBlock;
import jcifs.internal.util.SMBUtil;

/**
 * SMB1 Session Setup AndX Response message.
 *
 * This response contains information about the established session,
 * including native OS, LAN manager, and primary domain information.
 */
public class SmbComSessionSetupAndXResponse extends AndXServerMessageBlock {

    private String nativeOs = "";

#**##foreach ( $license in $project.licenses )
#*  *##set ( $groupId = $project.artifact.groupId )
#*  *##set ( $directory = 'lib' )
#*  *##if ( !$apacheMavenGroupIds.contains( $groupId ) )
#*    *### advertise about each non-Maven dependency
#*    *###
#*    *### infer SPDX license id
#*    *##if ( $MITLicenseNames.contains( $license.name ) )
#*      *##set ( $spdx = 'MIT' )

///

This is a very simple and short tutorial, if you want to learn about databases in general, about SQL, or more advanced features, go to the <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel docs</a>.

## Install `SQLModel` { #install-sqlmodel }