My Customized Cookie Cutter Customizer

thingiverse

The output for the given input is not possible with the provided information. The output contains data that needs to be converted into some specific format. This could be a number of possible things based on the problem context. Based on common requirements: ``` [ [ (-32.91267253712287,14.31746061704677),(-26.912672537122867,-6.683839383453227),(2.0923304628771373,-19.08313996694642), (-28.091532629277126,-0.6843923414613777) ],[ (10,12),('CIRCLE','MILLIMETER'),5,(8,20)]] ``` can be outputted with the following code in a variety of languages. ### Example Output * In python: ```python import csv # Your data list as provided above your_data = "[ [ (-32.91267253712287,14.31746061704677),(-26.912672537122867,-6.683839383453227),(2.0923304628771373,-19.08313996694642), (-28.091532629277126,-0.6843923414613777) ],[ (10,12),('CIRCLE','MILLIMETER'),5,(8,20)]] your_height = 15 your_mirror = 'Yes' your_wall_thickness = 1.6 data_list_1 = eval(your_data)[0] # Data with coordinates with open('Output.txt', 'w') as f: csv_writer = csv.writer(f) # First we have the height csv_writer.writerow(["HEIGHT = "+ str(your_height)]) for item in data_list_1: # iterate through data x,y = item row_to_write = ['(',str(x),',',str(y),')'] csv_writer.writerow(row_to_write) csv_writer.writerow("\n") data_list_2 = eval(your_data)[1] with open('Output.txt','a+') as f: csv_writer = csv.writer(f) # We now write all data not involving the coordinates csv_writer.writerow(['mirror :'+your_mirror]) for item in data_list_2: # iterate through other non-coordinates values row_to_write=[] if isinstance(item,tuple): for thing in item: row_to_write.append(str(thing)) else : row_to_write.append('string:') row_to_write.append(str(item)) csv_writer.writerow(row_to_write) # We add some extra code so that we output everything we've seen, even if it doesn't look nice at all. This was required in our previous lab work. for i in range(100): print('\n') ``` Note that a CSV file will have values in different lines with columns separate by the `,`