Qt Interface

class QtViewer:
    """
    Qt-based viewer implementation providing GUI functionality.
    Integrates the viewer model with Qt widgets and event handling.
    """
    
    def __init__(self, viewer, parent=None):
        """
        Create Qt viewer widget.
        
        Parameters:
        - viewer: ViewerModel instance
        - parent: Parent Qt widget
        """
    
    @property
    def viewer(self):
        """Access to underlying ViewerModel."""
    
    @property
    def canvas(self):
        """Access to the vispy canvas for rendering."""
    
    @property
    def controls(self):
        """Access to layer control widgets."""

class Window:
    """
    Main napari application window.
    Provides complete GUI with menus, docking widgets, and application controls.
    """
    
    def __init__(self, viewer=None, *, show=True):
        """
        Create main application window.
        
        Parameters:
        - viewer: ViewerModel instance (creates new if None)
        - show: Whether to show window immediately
        """
    
    @property
    def qt_viewer(self) -> QtViewer:
        """Access to the Qt viewer widget."""
    
    @property
    def viewer(self):
        """Access to the viewer model."""
    
    def add_dock_widget(self, widget, *, name=None, area='right'):
        """
        Add a widget to the window as a docked panel.
        
        Parameters:
        - widget: Qt widget to dock
        - name: Widget name for identification
        - area: Dock area ('left', 'right', 'top', 'bottom')
        """
    
    def remove_dock_widget(self, widget):
        """
        Remove a docked widget from the window.
        
        Parameters:
        - widget: Widget to remove
        """

class QtViewerButtons:
    """
    Qt widget providing viewer control buttons.
    Includes layer controls, view controls, and mode buttons.
    """

class QtToolTipLabel:
    """
    Qt widget for displaying contextual tooltip information.
    Provides rich text tooltips with formatting support.
    """

def create_worker(
    func,
    *args,
    _start_thread=None,
    _connect=None,
    **kwargs
):
    """
    Create a worker thread for running functions in the background.
    
    Parameters:
    - func: Function to run in worker thread
    - args: Arguments for the function
    - _start_thread: Whether to start thread immediately
    - _connect: Dictionary of signal connections
    - kwargs: Keyword arguments for the function
    
    Returns:
    Worker object with threading functionality
    """

def thread_worker(
    func=None,
    *,
    start_thread=None,
    connect=None
):
    """
    Decorator for creating worker thread functions.
    
    Parameters:
    - func: Function to decorate
    - start_thread: Whether to start thread on creation
    - connect: Signal connection configuration
    
    Returns:
    Decorated function that creates worker threads when called
    """

def get_qapp():
    """
    Get or create the Qt application instance.
    
    Returns:
    QApplication: The Qt application instance
    """

def run(
    *,
    force: bool = False,
    gui_exceptions: bool = False,
    max_loop_level: int = 1
):
    """
    Start the Qt event loop for GUI applications.
    
    Parameters:
    - force: Force running even if event loop exists
    - gui_exceptions: Show GUI dialogs for unhandled exceptions
    - max_loop_level: Maximum nesting level for event loop
    """

def get_stylesheet(theme: str = None):
    """
    Get napari stylesheet for a specific theme.
    
    Parameters:
    - theme: Theme name ('dark', 'light', etc.)
    
    Returns:
    str: CSS stylesheet content
    """

def get_current_stylesheet():
    """
    Get the currently active stylesheet.
    
    Returns:
    str: Current CSS stylesheet content
    """

import napari
import numpy as np

# Create data
image_data = np.random.random((100, 100))

# Create napari application (automatically creates Qt app)
viewer = napari.Viewer()
viewer.add_image(image_data, name='Sample')

# Start Qt event loop
napari.run()

import napari
from qtpy.QtWidgets import QLabel, QVBoxLayout, QWidget
import numpy as np

# Create custom widget
class InfoWidget(QWidget):
    def __init__(self):
        super().__init__()
        layout = QVBoxLayout()
        layout.addWidget(QLabel("Custom Info Panel"))
        layout.addWidget(QLabel("Layer count: 0"))
        self.setLayout(layout)

# Create viewer and window
viewer = napari.Viewer()
window = napari.qt.Window(viewer)

# Add custom docked widget
info_widget = InfoWidget()
window.add_dock_widget(info_widget, name='Info', area='right')

# Add some data
image_data = np.random.random((100, 100))
viewer.add_image(image_data, name='Sample')

napari.run()

import napari
import numpy as np
import time

# Define long-running function
def process_data(data):
    """Simulate expensive computation."""
    time.sleep(2)  # Simulate processing time
    return data * 2 + np.random.random(data.shape) * 0.1

# Create viewer
viewer = napari.Viewer()
original_data = np.random.random((100, 100))
viewer.add_image(original_data, name='Original')

# Create worker for background processing
worker = napari.qt.create_worker(process_data, original_data)

# Connect worker signals
def on_result(result):
    viewer.add_image(result, name='Processed')

def on_error(error):
    print(f"Processing failed: {error}")

worker.returned.connect(on_result)
worker.errored.connect(on_error)

# Start the worker
worker.start()

napari.run()

import napari
import numpy as np
import time

@napari.qt.thread_worker
def background_analysis(image_data):
    """Perform analysis in background thread."""
    # Simulate analysis
    time.sleep(1)
    
    # Calculate some statistics
    mean_val = np.mean(image_data)
    std_val = np.std(image_data)
    
    # Generate result
    result = {
        'mean': mean_val,
        'std': std_val,
        'processed': image_data > mean_val
    }
    
    return result

# Create viewer
viewer = napari.Viewer()
data = np.random.random((100, 100))
viewer.add_image(data, name='Original')

# Start background analysis
worker = background_analysis(data)

# Handle results
def show_results(result):
    print(f"Analysis complete - Mean: {result['mean']:.3f}, Std: {result['std']:.3f}")
    viewer.add_labels(result['processed'].astype(int), name='Above Mean')

worker.returned.connect(show_results)
worker.start()

napari.run()

import napari
from qtpy.QtWidgets import QApplication, QMainWindow, QWidget, QVBoxLayout, QPushButton
import numpy as np

# Create Qt application
app = napari.qt.get_qapp()

# Create custom main window
class CustomMainWindow(QMainWindow):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Custom Napari App")
        
        # Create central widget
        central_widget = QWidget()
        layout = QVBoxLayout()
        
        # Add napari viewer
        self.viewer = napari.Viewer()
        layout.addWidget(self.viewer.window.qt_viewer)
        
        # Add custom button
        button = QPushButton("Add Random Image")
        button.clicked.connect(self.add_random_image)
        layout.addWidget(button)
        
        central_widget.setLayout(layout)
        self.setCentralWidget(central_widget)
    
    def add_random_image(self):
        data = np.random.random((100, 100))
        self.viewer.add_image(data, name=f'Random {len(self.viewer.layers)}')

# Create and show window
window = CustomMainWindow()
window.show()

# Run application
app.exec_()

import napari

# Get current stylesheet
current_style = napari.qt.get_current_stylesheet()
print("Current theme active")

# Create viewer with specific styling
viewer = napari.Viewer()

# The viewer will use the current napari theme
# Themes can be changed through napari preferences or programmatically
# through the napari settings system

napari.run()