Goxpyriment Example Experiments¶
Psychological Experiments¶
| Attention-Posner-Task Arrow cue directs covert attention; measure cost/benefit on reaction time to a peripheral target Posner (1980) ▶ Run in browser |
Attentional-Blink RSVP stream; participant detects two targets embedded in a stream of distractors — the second target is often missed within ~500 ms of the first Raymond et al. (1992) ▶ Run in browser |
Change-Blindness Flicker paradigm: alternating original and modified scenes separated by blanks; participant detects what changed Rensink et al. (1997) ▶ Run in browser |
| Classification-Posner-Mitchell Classify letter pairs at three levels (physical, name, rule identity); RT increases with depth of processing required Posner & Mitchell (1967) ▶ Run in browser |
Contrast-Detection-QUEST 2-IFC adaptive staircase estimating the contrast detection threshold for a Gabor patch; converges on the 82 % correct point Watson & Pelli (1983) ▶ Run in browser |
Finger-Tapping Patterned finger-tapping: memorise a key sequence then reproduce it 6 times consecutively as fast as possible; only error-free runs recorded Povel & Collard (1982) ▶ Run in browser |
| Finger-Tracking Number-to-position task: drag the finger (or mouse, button held) from a bottom box up to an unmarked 0-40 number line, aiming at a target number; the full trajectory, endpoint, bias, and movement time are recorded Dotan & Dehaene (2013) ▶ Run in browser |
Geometry-consistency Two concurrent streams of geometric figures test 7-month-olds' detection of shape changes (relative length, angle) over variation in size, position, orientation and sense; experimenter codes looking direction in real time Dillon, Izard & Spelke (2020) ▶ Run in browser |
Geometry-LoT1 Geometric intruder task — click the odd one out among six quadrilaterals (five copies of one of 11 shapes from square to irregular, plus one with a displaced vertex); error rates track geometric regularity Sablé-Meyer, Fagot, Caparos, van Kerkoerle, Amalric & Dehaene (2021), Experiment 2 ▶ Run in browser |
| Geometry-Triangle-Completion Two-task study of intuitive Euclidean geometry — verbal judgements about the missing corner of a fragmented triangle, then mouse localization of that corner; yields the scaling exponent of visual extrapolation Hart, Mahadevan & Dillon (2022) ▶ Run in browser |
Go-NoGo Stop-signal task: respond to letters on go-trials; withhold response when a stop-signal tone is played at variable delays Logan et al. (1984) ▶ Run in browser |
Hemispheric-differences-word-processing Continuous recognition memory with lateralised study words (LVF/RVF) and central old/new probes, at nine study-test lags Federmeier & Benjamin (2005) ▶ Run in browser |
| Language-Localizer Bilingual auditory language localizer for fMRI; spoken sentences in French, Mandarin, and Wolof are played on a fixed onset schedule started by the scanner trigger, while the participant fixates and listens Lin, E. (2016), after Pallier et al. (2011) auditory language localizer ▶ Run in browser |
Language-Localizer-French-audio auditory language localizer; spoken sentences in French, and their temporally reversed versions, are played on a fixed onset schedule started by the scanner trigger, while the participant fixates and listens Pallier C. (unpublished) |
Language-Localizer-Reading-English EvLab visual language localizer for fMRI: the participant reads 12-word sentences and matched nonword sequences presented word by word (RSVP, 450 ms per word, no gap) on a fixed onset schedule started by the scanner ('t') trigger. 48 trials in 16 blocks of 3 (8 sentence, 8 nonword), separated by five 14 s fixation periods; a disc at the end of each trial prompts a button press that keeps the participant alert. The sentences > nonwords contrast localizes the high-level language network. Port of the Psychtoolbox evlab_langloc_2conds.m, using its stimulus tables unchanged (2 runs x 5 sets, selected with -run and -set). Fedorenko, E., Hsieh, P.-J., Nieto-Castañón, A., Whitfield-Gabrieli, S., & Kanwisher, N. (2010). New method for fMRI investigations of language: defining ROIs functionally in individual subjects. Journal of Neurophysiology, 104(2), 1177-1194. Psychtoolbox implementation by T. Scott (MIT, 2013). ▶ Run in browser |
| Letter-size-illusion Compare heights of letters vs. mirror/pseudo-letters; replicates the letter height superiority illusion (two experiments) New et al. (2015) ▶ Run in browser |
lexical_decision Decide whether a letter string is a word or a non-word (F / J keys); stimuli loaded from a CSV file ▶ Run in browser |
LoT-geometry Comprehension of geometric primitives and rules; reproduces Amalric et al. (2017) Amalric et al. (2017) ▶ Run in browser |
| Magnitude-Estimation-Luminosity Stevens' magnitude estimation of luminance: assign a number to perceived brightness of grey disks Stevens (1957) ▶ Run in browser |
MEG-localizer Multimodal MEG localizer — table-driven RSVP of faces, houses, words, consonant strings, equations, retinotopic wedges/rings/disks, and natural sounds ▶ Run in browser |
MEG-localizer2 Finger and tone MEG localizer — 4 hand pictures with one finger coloured red, an empty (fixation-only) trial, and 5 tones one octave apart, one trial per second (SOA jittered ±100 ms), 160 trials ▶ Run in browser |
| Memory-for-binary-sequences Memory and reproduction of auditory binary sequences of varying complexity Planton et al. (2021) ▶ Run in browser |
Memory-Iconic-Sperling Partial-report procedure measuring capacity and duration of iconic (visual sensory) memory Sperling (1960) ▶ Run in browser |
Memory-Scanning Hold a set of digits in memory; decide whether a probe was in the set — RT scales with set size Sternberg (1966) ▶ Run in browser |
| Memory_span Adaptive staircase measuring immediate serial recall span for digits, letters, or words ▶ Run in browser |
Mental-Logic-Card-Game Mental logic and inference task using a card-game paradigm ▶ Run in browser |
Mental-Rotation-2D Decide whether two 3-D figures are identical or mirror images; RT increases linearly with angular disparity Shepard & Metzler (1971) ▶ Run in browser |
| Mental-Rotation-3D Decide whether two 3D figures (procedurally generated assemblies of cubes) are identical or mirror images; RT increases linearly with angular disparity. Shepard & Metzler (1971) |
Mouse-tracking Mouse-trajectory paradigm (written-word adaptation of Spivey et al.): click the labelled box matching a written target word that appears 500 ms after onset, while the cursor path is sampled at ~36 Hz, revealing continuous attraction toward phonological cohort competitors Spivey et al. (2005) ▶ Run in browser |
Multiple-Object-Tracking Track a subset of identical moving targets among distractors; evidence for a parallel tracking mechanism Pylyshyn & Storm (1988) ▶ Run in browser |
| Naming-Stroop Vocal-response Stroop task — a colour word is named aloud while a microphone voice key measures RT from word onset; per-trial WAV files are saved for offline verification Stroop (1935) ▶ Run in browser |
Number-Change-Detection Two concurrent dot-array streams (5 vs 20 dots) test infants' preference for numerosity change; experimenter codes looking direction in real time Decarli, Piazza & Izard (2023) ▶ Run in browser |
Number-Comparison Compare numerical magnitudes of digits and dot patterns; stimulus group (digits / regular / irregular / random) selected via GetParticipantInfo UI Buckley & Gillman (1974) ▶ Run in browser |
| Number-Double-Digits-Comparison Compare two-digit numbers against a fixed standard (55 or 65); two experiments with different response-key mappings Dehaene et al. (1990) ▶ Run in browser |
parity_decision Classify single digits (0–9) as even or odd (F / J keys) ▶ Run in browser |
Perception-of-Temporal-Patterns Reproduction of isochronous and non-isochronous rhythmic patterns; tests internal clock induction and coding complexity Povel & Essens (1985) ▶ Run in browser |
| picture_naming Vocal naming-latency task: a picture is named aloud while a microphone voice key measures RT from image onset; per-trial WAV files are saved for offline verification ▶ Run in browser |
Posner-ANT Attention Network Task (vertical variant): flanker arrows above/below fixation measure alerting, orienting, and executive attention networks Fan et al. (2009) ▶ Run in browser |
Psychological-Refractory-Period Two tasks presented in rapid succession; the second response is delayed when the SOA is short Welford (1952) ▶ Run in browser |
| Reading-1 Lexical decision on a 5-letter string flashed for 200 ms in four 50 ms windows, with each letter's contrast sampled independently in every window (5 positions x 4 windows = 20 randomised visibility values per trial) ▶ Run in browser |
Reasoning-ConceptARC ConceptARC (the concept-organised ARC benchmark) as a self-paced grid-editing task: each trial shows the demonstrations of one ARC task and a test input, and the participant paints the output grid with the mouse — palette, click/drag, resize, copy-input, reset — and submits it, three attempts per test input. The default session follows the paper's human study (2 training + 3 minimal attention-check + 12 corpus tasks drawn from 12 concept groups, one random test input each, seeded by subject ID); -concept runs one whole concept group, -tests 3 presents all three test inputs, -explain asks for a typed explanation after each task. Every palette choice, cell edit, resize and submission is logged with the full grid, so each answer's editing history can be replayed. The 176 tasks (16 concepts x 10 + 16 minimal) are embedded Moskvichev, Odouard & Mitchell (2023), The ConceptARC Benchmark, arXiv:2305.07141 ▶ Run in browser |
Retinotopy HCP retinotopic mapping paradigm (ported from Python); flickering wedge/ring/bar stimuli for visual cortex mapping; run type selected via GetParticipantInfo UI ▶ Run in browser |
| Retinotopy-multifocal Multifocal retinotopic mapping — 24 visual-field regions driven by orthogonal quadratic-residue sequences, pattern-onset with a linear contrast fade; MEG/fMRI sync by flag Kurki, Hyvärinen, Henriksson & Vanni (2022), NeuroImage 263:119643 ▶ Run in browser |
RSVP-Images RSVP oddball-detection task replicating Hebart et al. (2023, THINGS-data). Object images are shown in rapid serial visual presentation on a mid-gray background with a central black fixation dot; the participant presses SPACE whenever a pixelated oddball appears. Timings are read from a design CSV (onset,duration,trial_type,file_path); companion tool cmd/gen-design produces the MEG (SOA 1500±200 ms) and fMRI (SOA 4.5 s) designs. Oddballs are pixelated at runtime; results add a reaction_time column. Hebart, M. N. et al. (2023). THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior. eLife 12:e82580. |
RSVP-Images-OneBack One-back RSVP picture task: images from images/ flash by in random order (200 ms on, 100 ms blank); ~10% are immediate repeats and the participant presses SPACE on repeats, with a buzzer on misses. VSYNC-locked, with per-image onset/offset, response, and hit/false-alarm logging |
| RSVP-MathLang MathLang RSVP paradigm for fMRI: sentences are presented word by word (300 ms per word, no blank between words) on a fixed onset schedule started by the scanner ('t') trigger. Nine sentence types (pseudoword lists, word lists, meaningless sentences, factual/contextual knowledge, theory of mind, arithmetic principles, calculation, geometry) in true and false variants contrast the language and mathematical reasoning networks. The participant judges each statement's veracity (1 = vrai, 2 = faux); percent correct and median RT are reported per condition at the end of the bloc. Onsets are read from the per-subject table stim_lists/sub-NNN_task-MathLang.csv; each of the 5 blocs is a separate run, selected with -b. Amalric, M. & Dehaene, S. (2016). Origins of the brain networks for advanced mathematics in expert mathematicians. PNAS 113(18), 4909-4917. ▶ Run in browser |
RSVP-multimodal Multimodal fMRI localizer driven by a stimulus table: rapid serial visual presentation of words, flashing checkerboards, and spoken sentences are presented on a fixed absolute onset schedule started by the scanner ('t') trigger. The bundled protocols implement the French Pinel functional localizer — reading/listening to sentences, reading/listening to mentally-solved subtractions, reading/hearing an instruction to press the left or right button three times, and passively viewing horizontal/vertical checkerboards — contrasting the language, number, motor and visual networks in one five-minute run. The schedule is not hardcoded: protocols/.tsv give onset_time, duration, type (TEXT, BOX, IMAGE, SOUND, TEXT_STREAM, IMAGE_STREAM, SOUND_STREAM), cond and stimuli, so the same program plays any multimodal script. Select a run with -p (instructions, run1..run4). Scheduled and achieved onsets are both written to the data file. Pinel, P., Thirion, B., Meriaux, S., Jobert, A., Serres, J., Le Bihan, D., Poline, J.-B., & Dehaene, S. (2007). Fast reproducible identification and large-scale databasing of individual functional cognitive networks. BMC Neuroscience, 8, 91.* ▶ Run in browser |
Rush-Hour Rush Hour sliding-block puzzle as a problem-solving task: on each trial the participant frees the red car from a 6x6 traffic jam by clicking the blocking vehicles one cell at a time, and every mouse click is logged, so the whole solution path — moves, dead ends, and latencies — can be reconstructed offline. The embedded library holds 49 boards ordered from 3 to 51 moves, each carrying the exact length of its shortest solution, so excess moves over the optimum is a per-trial measure; -n limits a session to the first N puzzles Fogleman (2018), Rush Hour puzzle database; ThinkFun "Rush Hour" (Nob Yoshigahara, 1996) ▶ Run in browser |
| Sensory-Threshold-Estimation-Auditory 1-up/2-down adaptive staircase with 2-IFC to estimate pure-tone hearing thresholds across multiple frequencies Levitt (1971) ▶ Run in browser |
shadowing Vocal shadowing-latency task: repeat a played sound aloud while a microphone voice key measures the delay between audio onset and speech onset ▶ Run in browser |
Simon_task Identify colour of a square regardless of its screen position; congruent trials are faster Simon (1969) ▶ Run in browser |
| simple_reaction_times 20-trial simple RT task: press any key as quickly as possible when a target appears ▶ Run in browser |
SNARC-effect Parity judgment on digits 0–9 with reversed key mappings across blocks; demonstrates the SNARC effect Dehaene, Bossini & Giraux (1993) ▶ Run in browser |
Statistical-Learning-Auditory Statistical learning of tone sequences: exposure to a continuous tone stream with structured transitional probabilities, probed with 2AFC or head-turn preference Saffran et al. (1999) ▶ Run in browser |
| Statistical-Learning-Community-Structure Implicit learning of community structure in a continuous visual sequence, with random-walk exposure and spacebar-based event segmentation Schapiro et al. (2013) ▶ Run in browser |
Statistical-Learning-Visual Implicit learning of statistical regularities in a shape stream, probed with forced-choice and RT tests Turk-Browne et al. (2005) ▶ Run in browser |
Stroop_task Name the ink colour of colour words; incongruent trials (e.g. RED in blue ink) are slower Stroop (1935) ▶ Run in browser |
| Subliminal-Priming Masked word priming: words rendered invisible by surrounding masks still influence processing Dehaene et al. (2004) ▶ Run in browser |
Temporal-Integration-Word-Recognition Alternating odd/even letter components at variable SOA; Exp 1 (subjective report: 0/1/2 words perceived) and Exp 2 (lexical decision with RT); experiment selected via GetParticipantInfo UI Forget et al. (2010) ▶ Run in browser |
Trubutschek_Unconscious_Working_Memory Probe access to briefly presented stimuli below and above the threshold of consciousness Trübutschek et al. (2017) ▶ Run in browser |
| Typing-Speed Typing-performance task: on each trial a target sentence is shown and the participant copies it into a framed input box below (with a blinking cursor). Every keystroke onset is recorded with a hardware-precision timestamp — its time from target onset, the interval since the previous key, and one of three categories (correct character, incorrect character, or movement/editing key). A trial advances only on an exact copy followed by ENTER. At the end, percent correct keystrokes and typing speed in characters/second (mean, P10, P50, P90) for correct keystrokes are reported. Built-in sentences can be overridden with -file. ▶ Run in browser |
Visual-Illusion-Lilac-Chaser Lilac chaser illusion: a ring of disappearing disks produces a rotating green afterimage ▶ Run in browser |
Visual-Search Feature vs. conjunction visual search across set sizes (4/12/24), measuring how reaction time scales with the number of distractors Treisman & Gelade (1980) ▶ Run in browser |
Programs that open a GetParticipantInfo dialog collect all setup interactively (subject ID, monitor dimensions, fullscreen toggle, and any experiment-specific options). Pass -headless on the command line to skip the dialog and use field defaults — useful for scripted runs and automated testing. Programs that do not use the dialog still accept -w for windowed mode, -d N to select a monitor, and -s <id> for a subject ID.
Note: These experiments record and save behavioural data to an .csv file in goxpy_data/.
Demonstrations¶
Visual illusions, interactive showcases, and minimal templates. Most do not write a data file.
| demo_bouncing_gv_movies Two .gv movies bounce around the screen, additively blend on overlap, fire beep tones at frame markers, and log full state to the data file on every key press; demonstrates every runtime mutator media.Movie exposes (Pause, PauseWithLoop, SetRate, SeekFrame, SetPosition, SetSize, SetBlendMode) with the multi-movie synchrony invariant preserved via BeginBurst/EndBurst |
demo_canvas Drawing on an off-screen Canvas surface before presenting it in one frame▶ Run in browser |
demo_follow_mouse A white dot follows the mouse cursor every frame — minimal real-time input loop ▶ Run in browser |
| demo_getinfo Demonstrates the GetParticipantInfo dialog: collects participant demographics and monitor characteristics before the experiment window opens▶ Run in browser |
demo_hello_world Simplest possible goxpyriment program — good starting point for new users ▶ Run in browser |
demo_images Loads every PNG file in the current directory and displays each one centered for one second |
| demo_images_embedded Displays embeded images sequentially, each one centered for one second ▶ Run in browser |
demo_joystick Move a cursor with a controller's analog stick (gamepad API with raw-joystick fallback, dead zone, live axis readout) — analog input handling ▶ Run in browser |
demo_keyboard Demonstrates every keyboard input method provided by the framework, section by section ▶ Run in browser |
| demo_menu Demonstrates the stimuli.Menu widget ▶ Run in browser |
demo_Motion-Blur Motion blur vs. phantom array demo: animated bar demonstrates retinal blur and the strobe effect at 60 Hz ▶ Run in browser |
demo_mouse_audio_feedback Left/right mouse clicks trigger ping/buzzer audio; useful for testing sound output ▶ Run in browser |
| demo_MovingGrating Presents 10 drifting sinusoidal gratings, orientation +45°/-45° in random order ▶ Run in browser |
demo_naming Vocal digit-naming task ("one".."ten") with a live VU-meter microphone calibration screen that auto-sets the voice-key threshold from observed min/max levels ▶ Run in browser |
demo_play_gv_videos Plays a single .gv video through the control facade |
| demo_play_two_gvvideos Plays two .gv videos side by side, synchronised, logging keypresses with their time relative to video onset |
demo_play_two_videos Plays two MPEG videos side by side, synchronised, logging keypresses with their time relative to video onset |
demo_play_videos Plays a sequence of MPEG video files found in the assets folder |
| demo_random-dot-stereogram Random-dot stereogram that reveals a 3-D shape when fused binocularly ▶ Run in browser |
demo_simple-rt-example Minimal 10-trial reaction-time loop using ShowTS / GetKeyEventTS for hardware-timestamped RT ▶ Run in browser |
demo_simple_audio_visual_stim Simultaneous tone and rectangle with a keypress response — shows audio preloading and the silent-tone sink warm-up ▶ Run in browser |
| demo_spritesheet Cut one image into a grid of stimuli sharing a single GPU texture, drawn by source rectangle (Psychtoolbox's DrawTexture sourceRect) ▶ Run in browser |
demo_stimuli_extras Showcase of advanced stimuli: visual mask, Gabor patch, dot cloud, stimulus circle, thermometer ▶ Run in browser |
demo_stream_callback Per-frame FrameCallback for stream overlays and real-time feedback (PresentStreamOfStimuliFunc) ▶ Run in browser |
| demo_stream_images High-precision RSVP loop streaming a sequence of images (PresentStreamOfImages) |
demo_stream_mixed Heterogeneous stream mixing visual and audio stimuli via PresentStreamOfStimuli ▶ Run in browser |
demo_stream_text High-precision RSVP loop streaming a sequence of text strings ▶ Run in browser |
| demo_stream_tones Sequential auditory stream playing a regular sequence of pure tones with timing logs ▶ Run in browser |
demo_sync_two_gv_movies Two .gv movies played side by side under a shared MasterClock; demonstrates media.MovieManager multi-movie sync, burst-pause, Movie[At]/Movie[AtDisplay], and Display[Onset/Offset] events with optional TTL-trigger wiring |
demo_text_input Demonstration of the TextInput stimulus collecting free-text keyboard input▶ Run in browser |
| demo_Visual-Angle-Calibration Draws concentric rings at 2°, 5°, and 10° of visual angle for a quick sanity-check of the units.Monitor calibration▶ Run in browser |
demo_Visual-Illusion-Ebbginghaus Animated Ebbinghaus (Titchener circles) size-contrast illusion ▶ Run in browser |
demo_Visual-Illusion-Kanizsa Kanizsa illusory-contour square: a square is perceived where none is drawn ▶ Run in browser |
| demo_Visual-Persistence Persistence-of-vision illusion: an image seen only through moving vertical slits integrates into a whole when the eyes track a moving dot ▶ Run in browser |
Technical Tests¶
Hardware, timing, and feature tests live in the tests/ directory at the repository root (separate Go module). Build them with make tests.
| GvFiles Plays sequences of .gv movies while flashing a white square and pulsing DLP-IO8 line 0 at frame markers, for photodiode+oscilloscope display/TTL synchrony checks (port of PsyScope WhiteSquareSync) |
set_fullscreen Minimal SDL program that toggles exclusive fullscreen mode — sanity check for the fullscreen video path |
test_audio_drift Measures the audio clock's rate error against the system clock in ppm, by regressing frames consumed on monotonic time over a long tone |
| test_av_sync Verifies PlaySyncedWithFlip aligns audio onset with the VSYNC flip (icon flash + 1 kHz tone each second) |
test_clear_only_frames Presents frames whose only content is a clear (no draw calls) to verify the library defence against the compositor clear-only presentation bug |
test_dlpio20 Exercises a DLP-IO20 as an 8-bit TTL trigger device (output + input loopback), with static hold/set modes for multimeter probing |
| test_dlpio8 Square-wave output on a DLP-IO8-G pin with rising/falling edge jitter statistics; characterises the trigger box against an oscilloscope |
test_eyelink Checks an SR Research EyeLink through the Python bridge, and measures what a bridge message costs against a TTL fired at the same flip |
test_ft232h Exercises an Adafruit FT232H breakout as an 8-bit TTL trigger device (output + input loopback) |
| test_fullscreen Sanity check for fullscreen rendering through the control facade |
test_gv_sync Plays a synthesised .gv flash train with a TTL pulse at each bright onset; measures whether PlayGvFunc puts frames on screen when it claims to |
test_labjackt4 Exercises a LabJack T4 as an 8-bit TTL trigger device (output + input loopback) |
| test_linuxgpio Exercises a Linux GPIO character-device (v2) trigger as an 8-bit TTL device (output + input loopback) |
test_megttlbox Exercises the NeuroSpin Arduino Mega TTL box — firmware identification, TTL outputs on D30–D37, response inputs on D22–D29, and an optional jumpered loopback check. |
test_mmbts Exercises a NEUROSPEC MMBT-S interface box as an 8-bit TTL trigger device over USB-CDC serial — whole-port patterns, per-line writes, pulses, and a square wave. |
| test_netstation Exercises an EGI/NetStation EEG host over TCP/IP (ECI) — connect, synchronize, record, and send event markers |
test_parallel_port Reads and writes a Linux LPT parallel port via the ppdev kernel interface |
test_photodiode_latency Measures the delay between the timestamp ShowTS returns and light actually leaving the screen, by firing a DLP-IO8 TTL synchronously on the flip thread and letting an AD3 or BBTK time the TTL against a photodiode |
| test_stream_trigger Post-flip onset hooks fire a per-stimulus TTL aligned to TimingLog.OnsetNS (PresentStreamOfStimuliHooks + PlayStreamOfSoundsHook) |
test_tearing Full-height white bar sweeping horizontally to reveal screen tearing; prints frame-interval statistics on exit |
test_tobii Checks a Tobii Pro tracker through the Python bridge, and measures the coordinate origin, sample rate and clock offset |
| test_triggers Fires the same pulse train on two or more TTL output devices at once, on one absolute schedule, so an oscilloscope (or a MEG TTL box acting as witness) can measure the skew between their edges |
test_vblank_drift Measures whether Screen.FlipTS drifts against the display, using the kernel's DRM vblank timestamps as a reference instead of a photodiode |
test_videorecorder Exercises the BEL_video networked video recorder over TCP/IP — start/stop recording and send overlay labels |
| test_vsync_blocking Reports nominal, unaided and paced frame periods to show whether the platform/driver blocks on VSYNC or drops frames |
Timing-Tests Hardware timing verification suite: six sub-tests selected with -test |
Binaries¶
If you have followed the installation instructions, running the script build-all.sh has created binaries for all examples in the subfolder _build. You can just open this folder and launch the executables.
Else, you can download pre-built executable programs for all examples.
Alternatively, you can read the next section if you want to compile these experiments on your computer.
Building from source¶
If you have installed go on your computer, you can run any example directly from a local clone of the goxpyriment repository:
Or build and run from inside the example directory:
cd examples/hello_world
go run . # fullscreen by default
go run . -w # windowed 1024×768
go run . -w -s 1 # windowed, subject ID = 1
go run . -d 1 # fullscreen on monitor 1
go run . -w -d 1 # windowed on monitor 1
go build . # build a standalone binary
To build all examples (and tests) at once (binaries go to _build/):
(On Linux/macOS you can also use make examples or make all.)