}
	}
	checkField(t, userSchema, reflectValue, newValues)

	newValues2 := map[string]interface{}{
		"id":            5,
		"name":          name + "rename2",
		"birthday":      time.Now(),
		"registered_at": time.Now(),
		"deleted_at":    time.Now(),
		"active":        true,
		"admin":         false,
	}

	for k, v := range newValues2 {

// histogram.
//
// `filterByLabels` is a map of label names to list of allowed label values to
// filter by. Note that this filtering happens before any renaming of labels.
//
// `renameLabels` is a map of label names to rename. The keys are the original
// label names and the values are the new label names.
//
// `bucketFilter` is a list of bucket values to filter. If this is non-empty,

- WinOverlay feature graduated to beta ([#94807](https://github.com/kubernetes/kubernetes/pull/94807), [@ksubrmnn](https://github.com/ksubrmnn)) [SIG Windows]

### Feature

    void testGetAction() throws SMBProtocolDecodingException {
        int expectedAction = FileNotifyInformation.FILE_ACTION_RENAMED_NEW_NAME;
        byte[] buffer = createValidNotificationBuffer("renamed.txt", expectedAction);

        notifyInfo.decode(buffer, 0, buffer.length);

        assertEquals(expectedAction, notifyInfo.getAction());
    }

    @Test

<img src="/img/tutorial/generate-clients/image06.png">

In this case, you have:

* `ItemsService`
* `UsersService`

### Client Method Names { #client-method-names }

Right now, the generated method names like `createItemItemsPost` don't look very clean:

```TypeScript
ItemsService.createItemItemsPost({name: "Plumbus", price: 5})
```

				stmt.DB.AddError(ErrModelValueRequired)
			} else if stmt.Schema.PrioritizedPrimaryField != nil {
				write(v.Raw, stmt.Schema.PrioritizedPrimaryField.DBName)
			} else if len(stmt.Schema.DBNames) > 0 {
				write(v.Raw, stmt.Schema.DBNames[0])
			} else {
				stmt.DB.AddError(ErrModelAccessibleFieldsRequired) //nolint:typecheck,errcheck
			}
		} else {
			write(v.Raw, v.Name)
		}

		if v.Alias != "" {

filegroup(
    name = "get_tensorflow_dll_import_lib",
    srcs = ["//tensorflow:tensorflow.dll"],
    output_group = "interface_library",
    visibility = ["//visibility:public"],
)

# Rename the import library for tensorflow.dll from tensorflow.dll.if.lib to tensorflow.lib
genrule(
    name = "tensorflow_dll_import_lib",
    srcs = [":get_tensorflow_dll_import_lib"],
    outs = ["tensorflow.lib"],

			}
			r.err = err
			return err
		}
		// Send it!
		if !fn(meta) {
			return nil
		}
	}
}

// readNames will return all the requested number of names in order
// or all if n < 0.
// Will return io.EOF if end of stream is reached.
func (r *metacacheReader) readNames(n int) ([]string, error) {
	r.checkInit()
	if r.err != nil {
		return nil, r.err
	}
	if n == 0 {
		return nil, nil
	}

			isZero                    bool
		)
		stmt.Settings.Delete("gorm:update_track_time")

		values = clause.Values{Columns: make([]clause.Column, 0, len(stmt.Schema.DBNames))}

		for _, db := range stmt.Schema.DBNames {
			if field := stmt.Schema.FieldsByDBName[db]; !field.HasDefaultValue || field.DefaultValueInterface != nil {

{* ../../docs_src/body/tutorial002_py310.py *}

/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

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

///