context.StroopContext
stroop_task.context.StroopContext(
language,
word_color_dict=dict(),
msgs=dict(),
startblock_mrk=64,
endblock_mrk=64,
starttrial_mrk=2,
endtrial_mrk=4,
congruent_mrk=0,
incongruent_mrk=0,
lift_off_mrk=8,
reaction_mrk=16,
timeout_mrk=16,
stimulus_time_s=3.0,
pre_stimulus_time_s=1.0,
wait_time_min_s=1.0,
wait_time_max_s=2.0,
instruction_time_s=1000.0,
results_show_time_s=5.0,
arrow_down_press_to_continue_s=0.5,
classical_timeout_s=45,
focus='color',
reactions=list(),
block_stimuli=list(),
known_stimuli=dict(),
current_stimulus_idx=0,
current_stimuli=list(),
white_y_offset_px=100,
font_size=36,
instruction_font_size=16,
fullscreen=False,
screen_width=800,
screen_height=600,
tic=0,
tic_down=0,
marker_writer=get_marker_writer(),
has_window_attached=False,
)A class to represent the context for the Stroop task.
Attributes
| Name | Type | Description |
|---|---|---|
| language | str | The language setting for the Stroop task. |
| word_color_dict | dict | A dictionary mapping words to their corresponding colors. See configs/ |
| msgs | dict | A dictionary containing messages for the Stroop task. See configs/ |
| startblock_mrk | int | Marker for the start of a block. See configs/task.yaml. |
| endblock_mrk | int | Marker for the end of a block. See configs/task.yaml. |
| starttrial_mrk | int | Marker for the start of a trial. See configs/task.yaml. |
| endtrial_mrk | int | Marker for the end of a trial. See configs/task.yaml. |
| congruent_mrk | int | Marker for congruent stimuli. See configs/task.yaml. |
| incongruent_mrk | int | Marker for incongruent stimuli. See configs/task.yaml. |
| lift_off_mrk | int | Marker for lift-off. See configs/task.yaml. |
| reaction_mrk | int | Marker for reaction. See configs/task.yaml. |
| timeout_mrk | int | Marker for timeout. See configs/task.yaml. |
| stimulus_time_s | float | Duration in seconds for stimulus presentation. See configs/task.yaml. |
| pre_stimulus_time_s | float | Duration in seconds for pre-stimulus interval. See configs/task.yaml. |
| wait_time_min_s | float | Minimum wait time in seconds. See configs/task.yaml. |
| wait_time_max_s | float | Maximum wait time in seconds. See configs/task.yaml. |
| instruction_time_s | float | Duration in seconds for instruction display. See configs/task.yaml. |
| results_show_time_s | float | Duration in seconds for results display. See configs/task.yaml. |
| arrow_down_press_to_continue_s | float | Duration in seconds for arrow down press to continue. See configs/task.yaml. |
| classical_timeout_s | float | Timeout duration in seconds for classical tasks. See configs/task.yaml. |
| focus | Literal['text', 'color'] | Focus of the Stroop task, either “text” or “color”. |
| reactions | list | List to track reactions. |
| block_stimuli | list | List of stimuli for the current block. |
| known_stimuli | dict | Dictionary of known stimuli. |
| current_stimulus_idx | int | Index of the current stimulus. |
| current_stimuli | list | List of current stimuli for drawing. |
| white_y_offset_px | int | Y-offset in pixels for white stimuli. See configs/gui. |
| font_size | int | Font size for stimuli. See configs/gui. |
| instruction_font_size | int | Font size for instructions. See configs/gui. |
| fullscreen | bool | Flag for fullscreen mode. See configs/gui. |
| screen_width | int | Width of the screen. See configs/gui. |
| screen_height | int | Height of the screen. See configs/gui. |
| tic | float | Time keeping variable. |
| tic_down | float | Time keeping variable for countdown. |
| marker_writer | MarkerWriter | Marker writer for the Stroop task. |
| has_window_attached | bool | Flag indicating if a window is attached. |
Methods
| Name | Description |
|---|---|
| add_instruction_screen_batch | Load all components and add them to an intro batch |
| close_context | Close the context stopping all pyglet elements |
| create_classical_examples_to_batch | Not the full table just a few examples for the instruction screen |
| create_classical_table_stimulus | Create a classical table stimulus for the Stroop task. |
| create_stimuli | Create stimuli for the stroop task using WORD_COLOR_PAIRS from self.word_color_dict |
| init_block_stimuli | Initialize a block of trials by modifying a context. The stimuli will |
add_instruction_screen_batch
stroop_task.context.StroopContext.add_instruction_screen_batch(
random_wait=False,
)Load all components and add them to an intro batch
close_context
stroop_task.context.StroopContext.close_context()Close the context stopping all pyglet elements
create_classical_examples_to_batch
stroop_task.context.StroopContext.create_classical_examples_to_batch(batch)Not the full table just a few examples for the instruction screen
create_classical_table_stimulus
stroop_task.context.StroopContext.create_classical_table_stimulus(
n_stimuli=60,
n_per_row=6,
perc_incongruent=0.33,
)Create a classical table stimulus for the Stroop task.
This method generates a table of stimuli for the Stroop task, where each stimulus is either congruent or incongruent based on the specified percentage. The stimuli are arranged in rows and columns, and the table is stored in the known_stimuli dictionary under the key “classical_batch”. The labels for each stimulus are also stored under the key “classical_labels”.
The generated table is saved as a CSV file in the stroop_task/assets directory to cache the layout. This will speed up the loading.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| n_stimuli | int | The total number of stimuli to generate. Default is 60. | 60 |
| n_per_row | int | The number of stimuli per row in the table. Default is 6. | 6 |
| perc_incongruent | float | The percentage of incongruent stimuli in the table. Default is 0.33. | 0.33 |
Returns
| Name | Type | Description |
|---|---|---|
| None |
create_stimuli
stroop_task.context.StroopContext.create_stimuli(random_wait=False)Create stimuli for the stroop task using WORD_COLOR_PAIRS from self.word_color_dict
init_block_stimuli
stroop_task.context.StroopContext.init_block_stimuli(n_trials)Initialize a block of trials by modifying a context. The stimuli will be accessible in ctx.block_stimuli as list of tuples (word, pyglet.text.Label, pyglet.shapes.Rectangle, pyglet.shapes.Rectangle, str) The shapes are the squares that will be shown left and right of the word, while the final string indicates the correct direction
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| n_trials | int | number of trials per block | required |