Randomizing from a written function

Builder
1

Hello,
I’m trying to convert my code from python using the PsychoPy library to the Builder.
I have a function (pasted below) I wrote to set-up specific numbers (for the experiment) in a list.

First, I need to run the function in the experiment and secondly, I need the list to be out-putted into excel so I can use the numbers in loading pictures.

Is it something possible to do?
and how?

thank you very much for the help
Gal

def random_options(a, steps, game_series) -> object:
    a_reversed = [x[::-1] for x in a]
    games = a + a_reversed

    output = []  # Final output of games

    # Number of 6-games
    for i in range(1, (steps // game_series) + 1):

        # Current 6-game
        curr_output = []

        # Copy game so we can remove from list and it will not remove from original list.
        curr_games = copy.deepcopy(games)

        # Loop for every 6-game
        while len(curr_output) < game_series:
            game = random.choice(curr_games)  # Choose randomly from list of 6 games

            # Left condition: First game of this 6-game. Need to check last game of last 6-games
            # Right condition: Only check this if not first game ever. If first game ever - don't check anything
            if len(curr_output) == 0 and len(output) > 0:
                if output[-1] == game or output[-1] == game[::-1]:
                    continue  # Randomly choose again

            # Check letter of last game in this current 6-game
            elif len(curr_output) > 0 and (curr_output[-1] == game or curr_output[-1] == game[::-1]):

                # We already chose 5/6 games and can't choose the last one.
                # It means we got stuck with 2 last games that can't be one after another
                if len(curr_output) == (game_series - 1):
                    # Start over this 6-list
                    curr_output = []
                    curr_games = copy.deepcopy(games)
                continue

            # Add game to current 6-list
            curr_output.append(game)

            # Remove game from current 6-list so won't get chosen again
            curr_games.remove(game)

        output.extend(curr_output)

     return output

 options = dict()
    options["block1"] = (random_options([(1, 3), (1, 2), (2, 3)], settings["timesteps"], settings["blockAvaliableOptions"] * 2), random_options([(1, 3), (1, 2), (2, 3)], settings["timesteps"], settings["blockAvaliableOptions"] * 2))
    options["block2"] = (random_options([(4, 5), (4, 6), (5, 6)], settings["timesteps"], settings["blockAvaliableOptions"] * 2), random_options([(4, 5), (4, 6), (5, 6)], settings["timesteps"], settings["blockAvaliableOptions"] * 2))
    options["block3"] = (random_options([(1, 4), (2, 5), (3, 6), (1, 6), (2, 6), (4, 3), (5, 3), (1, 5), (4, 2)], settings["timestepsTest"], settings["testAvaliableOptions"] * 2), random_options([(1, 4), (2, 5), (3, 6), (1, 6), (2, 6), (4, 3), (5, 3), (1, 5), (4, 2)], settings["timestepsTest"], settings["testAvaliableOptions"] * 2))
2

Hi @galaharon, here is a simplified version of what you want (note, this uses Python libs and will not work with online tasks). Add the code to a Begin Experiment tab, and you can use the csv file it creates in a loop, which can handle your randomisation.

import pandas as pd

options = dict()
options["block1"] = [(1, 3), (1, 2), (2, 3)]
options["block2"] = [(1, 3), (1, 2), (2, 3)]
options["block3"] = [(1, 3), (1, 2), (2, 3)]

df = pd.DataFrame.from_dict(options)
df.to_csv('newList.csv', index=False)

You can add “newList.csv” as a conditions file in a loop, and the variables / columns within the newly created csv file will be available for use in the experiment.