Kivy ScreenManager This code creates a Kivy ScreenManager, generates a random screen, and displays a welcome message on the screen. The type of code 2024-12-16 12:17:08 17 views
Kivy Kivy This function uses Kivy's Builder module to dynamically create a widget with a random color. The function first defines an internal function `generate_random_color` to generate a random hexadecimal color value, then uses Kivy's Builder module to create a `ColorWidget` class, which has a size of 100x100 and a random color. Kivy UI component generator function 2024-12-16 12:14:43 8 views
Kivy Builder This function creates a simple screen manager with two screens and uses Kivy's Builder language to define button events. Kivy GUI Application 2024-12-16 11:28:54 5 views
kivy Label This function takes a button object as an argument, creates a label with random text, styles it using Kivy's KV language, and returns it. Function 2024-12-16 11:23:30 4 views
venv random This function creates a random Python virtual environment and installs two specified packages into it. Function 2024-12-07 16:19:39 3 views
Kivy ScreenManager Create a custom ScreenManager based on Kivy that manages multiple Screens. The number of Screens is specified by the parameter num_of_screens. Kivy UI Component 2024-12-07 16:11:19 4 views
Kivy Builder This function creates a Kivy screen manager, adds a new screen with a label, and randomly selects a screen transition effect. Kivy UI Application 2024-12-07 16:04:39 3 views
venv This function creates a new virtual environment and randomly selects a Python version. It uses the EnvBuilder class from the venv library to create the environment. Python function 2024-12-07 15:46:03 4 views
The package This function accepts message content, severity, and timestamp as parameters to build a JSON formatted log message that conforms to the Graylog format. If no timestamp is provided, it uses the current UTC time. Function 2024-12-07 15:38:35 5 views
Keras TensorFlow This function builds a randomly initialized neural network model with an input layer, two hidden layers, and an output layer. It uses ReLU activation function, Dropout layers to prevent overfitting, Adam optimizer, and categorical crossentropy loss function. Function 2024-11-30 16:00:15 4 views
