def recognize_shape_from_svg(input_text):
    # Step 1: Extract the 'd' attribute from the SVG path element and split it into a list of commands and parameters. Output the SVG path and the list of commands and parameters.
    svg_path = extract_svg_path(input_text)
    commands_and_parameters = split_commands_and_parameters(svg_path)
    print(f"SVG path: {svg_path}\nCommands and parameters: {commands_and_parameters}")

    # Step 2: For each command in the list, extract the parameters (which represent points in the path) and add them to a set to remove duplicates. This will give us the number of unique points in the path. Output the set of unique points.
    unique_points = set()
    for command in commands_and_parameters:
        parameters = extract_parameters(command)
        unique_points.update(parameters)
    print(f"Unique points: {unique_points}")

    # Step 3: Based on the number of unique points, determine the shape. For example, three points form a triangle, four points form a rectangle or a kite, five points form a pentagon, and so on. Output the determined shape.
    shape = determine_shape(len(unique_points))
    print(f"Determined shape: {shape}")

    # Step 4: [Variables tracking] Use print() function to log the SVG path, the list of commands and parameters, the set of unique points, and the determined shape.
    print(f"SVG path: {svg_path}\nCommands and parameters: {commands_and_parameters}\nUnique points: {unique_points}\nDetermined shape: {shape}")

    # Step 5: Finally, match the determined shape with the provided options to identify the correct answer. Output the matched option.
    options = extract_options(input_text)
    matched_option = match_shape_with_options(shape, options)
    print(f"Matched option: {matched_option}")

    # Step 6: Return the matched option as the final answer to the question.
    return matched_option