ddd.py

# ddd.py

import os
import web_gpu_library as ddd  # Assuming web_gpu_library is the library you want to use

def process_ddd_file(file_path):
    # Custom code to read and process the .ddd file
    with open(file_path, 'r') as file:
        data = file.read()
    return data

def main():
    # Replace 'path_to_your_file.ddd' with the actual file path of your .ddd file or use default created ddd directory
    default_ddd_directory = "ddd"
    ddd_file_path = os.path.join(default_ddd_directory, "your_file.ddd")

    if not os.path.exists(default_ddd_directory):
        os.makedirs(default_ddd_directory)

    # Assume ddd is your web_gpu_library function that interacts with WebGPU
    if ddd.is_local_server:
        processed_data = process_ddd_file(ddd_file_path)
        # Call the WebGPU interaction function with the processed data
        output = ddd.webgpu_interaction(processed_data)
        print(output)  # Display the output from WebGPU
    else:
        print("Error: WebGPU interface must be running on a local server.")

if __name__ == "__main__":
    main()