def recognize_shape_from_svg(input_text):
		# Step 1: Get the SVG path data from the input text and generate the extracted SVG path.
    paths = parse_path(input_text)
    print("SVG paths:\n ", paths)
		
		# Step 2: Initialize a coordinate map that maps each coordinate with the other connected coordinates and the connection type.
    coordinate_map = dict()

    # Step 3: Update the coordinate map referring to the each SVG path.
    for i, path in enumerate(paths):
      coordinate_map = update_coordinate_map(coordinate_map, path)
      print(f"Step {i} - path: {path}, updated coordinate map: {coordinate_map}")

		# Step 4: Conduct calculation to analyze each characteristic of the shape.
    analysis_results_dict = analyze_characteristics(coordinate_map)
    print(f"Anlysis results: {analysis_results_dict}")

		# Step 5: Identify a geometric shape with reasons using the completed coordinates map and the analysis results.
    reason_for_the_decision, name_of_the_shape = identify_shape_with_explanation(coordinate_map, analysis_results_dict)
    print(f"Reason for the decision: {reason_for_the_decision}")
    print(f"Thus, the shape of the path is {name_of_the_shape}.")

		# Step 6: Find the corresponding option from the given options and only output the label of the option as the final answer to the question.
    options = parse_options(input_text)
    print(f"Options: {options}")
    answer = None
    for option in options:
      if name_of_the_shape in option:
        answer = option[:3]
    
    return answer