{* ../../docs_src/handling_errors/tutorial006.py hl[2:5,15,21] *}

{* ../../docs_src/handling_errors/tutorial006.py hl[2:5,15,21] *}

        emptyMappingFile.manager(dictionaryManager);

        PagingList<CharMappingItem> result = emptyMappingFile.selectList(0, 10);

        // Debug: print what we actually got
        if (result.size() > 0) {
            for (CharMappingItem item : result) {
                System.out.println("Unexpected item: " + item.toLineString());
            }
        }

            // Test PRINT share type
            setPrivateField(response, "shareType", Smb2TreeConnectResponse.SMB2_SHARE_TYPE_PRINT);
            assertEquals(Smb2TreeConnectResponse.SMB2_SHARE_TYPE_PRINT, response.getShareType(), "Should handle PRINT share type");
        }

        @Test
        @DisplayName("Should handle share flags")

	ast1, err := parser.ParseFile(fset, name, src, flags)
	if err != nil {
		if list, ok := err.(scanner.ErrorList); ok {
			// If err is a scanner.ErrorList, its String will print just
			// the first error and then (+n more errors).
			// Instead, turn it into a new Error that will return
			// details for all the errors.
			for _, e := range list {
				fmt.Fprintln(os.Stderr, e)
			}

{* ../../docs_src/handling_errors/tutorial006.py hl[2:5,15,21] *}

  \"-Dmaven.multiModuleProjectDirectory=$MAVEN_PROJECTBASEDIR\" \
  $LAUNCHER_CLASS \
  $MAVEN_ARGS"
# Add remaining arguments with proper quoting
for arg in "$@"; do
    cmd="$cmd \"$arg\""
done

# Debug: print the command that will be executed
#echo "About to execute:"
#echo "$cmd"

e depois chamarmos:

```Python
user_dict = user_in.dict()
```

agora temos um `dict` com os dados na variável `user_dict` (é um `dict` em vez de um objeto de modelo Pydantic).

E se chamarmos:

```Python
print(user_dict)
```

teríamos um `dict` Python com:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

```Python
user_dict = user_in.dict()
```

то теперь у нас есть `dict` с данными модели в переменной `user_dict` (это `dict` вместо объекта Pydantic-модели).

И если мы вызовем:

```Python
print(user_dict)
```

мы можем получить `dict` с такими данными:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

!important;\n    display: inline-flex !important;\n  }\n}\n\n@media print {\n  .d-print-none {\n    display: none !important;\n  }\n  .d-print-inline {\n    display: inline !important;\n  }\n  .d-print-inline-block {\n    display: inline-block !important;\n  }\n  .d-print-block {\n    display: block !important;\n  }\n  .d-print-table {\n    display: table !important;\n  }\n  .d-print-table-row {\n    display: table-row !important;\n  }\n  .d-print-table-cell {\n    display: table-cell !important;\n  }\n  .d-print-flex...