MultiMatch comparison¶

Install the optional feature first with pip install "pyxations[multimatch]". This example generates BIDS data from the committed EyeLink source example and compares two trials from its single subject/session.

In [1]:

from pathlib import Path

from pyxations import (
    VisualSearchExperiment,
    compute_derivatives_for_dataset,
    dataset_to_bids,
)

repo = next(
    path
    for path in (Path.cwd(), *Path.cwd().parents)
    if (path / "pyproject.toml").is_file()
)
files_folder_path = repo / "examples" / "eyelink_visual_search"
output_folder = repo / "generated"
bids_dataset_folder = dataset_to_bids(
    output_folder, files_folder_path, "example_dataset", overwrite=True
)


msg_keywords = ["begin", "end", "press"]
start_msgs = {"search": ["beginning_of_stimuli"]}
end_msgs = {"search": ["end_of_stimuli"]}
detection_algorithm = "eyelink"
dataset_format = "eyelink"
derivatives_path = compute_derivatives_for_dataset(
    bids_dataset_folder,
    dataset_format,
    detection_algorithm,
    msg_keywords=msg_keywords,
    start_msgs=start_msgs,
    end_msgs=end_msgs,
    overwrite=True,
)

from pathlib import Path from pyxations import ( VisualSearchExperiment, compute_derivatives_for_dataset, dataset_to_bids, ) repo = next( path for path in (Path.cwd(), *Path.cwd().parents) if (path / "pyproject.toml").is_file() ) files_folder_path = repo / "examples" / "eyelink_visual_search" output_folder = repo / "generated" bids_dataset_folder = dataset_to_bids( output_folder, files_folder_path, "example_dataset", overwrite=True ) msg_keywords = ["begin", "end", "press"] start_msgs = {"search": ["beginning_of_stimuli"]} end_msgs = {"search": ["end_of_stimuli"]} detection_algorithm = "eyelink" dataset_format = "eyelink" derivatives_path = compute_derivatives_for_dataset( bids_dataset_folder, dataset_format, detection_algorithm, msg_keywords=msg_keywords, start_msgs=start_msgs, end_msgs=end_msgs, overwrite=True, )

In [2]:

exp = VisualSearchExperiment(bids_dataset_folder, "search", "mem")
exp.load_data("eyelink")

exp = VisualSearchExperiment(bids_dataset_folder, "search", "mem") exp.load_data("eyelink")

In [3]:

# Compare two trials from the bundled subject/session
session = exp["0001"]["second"]
trial_one = session[0]
trial_two = session[1]

# Compute multimatch
multimatch = trial_one.compute_multimatch(trial_two, 1080, 1920)
print(multimatch)

# Compare two trials from the bundled subject/session session = exp["0001"]["second"] trial_one = session[0] trial_two = session[1] # Compute multimatch multimatch = trial_one.compute_multimatch(trial_two, 1080, 1920) print(multimatch)

[np.float64(0.9859759308048632), np.float64(0.33305162534908994), np.float64(0.9826406452134908), np.float64(0.9266035869922108), np.float64(0.636785733411878)]