third_party/WebKit/LayoutTests/webaudio/panner-automation-position-expected.txt - Issue 1820403002: Implement Automations for PannerNode and AutioListener

Side by Side Diff: third_party/WebKit/LayoutTests/webaudio/panner-automation-position-expected.txt

Issue 1820403002: Implement Automations for PannerNode and AutioListener (Closed) Base URL: https://chromium.googlesource.com/chromium/src.git@master

Patch Set: Rebase UseCounter.h Created 4 years, 8 months ago

Use n/p to move between diff chunks; N/P to move between comments. Draft comments are only viewable by you.

Jump to:

View unified diff | Download patch

« third_party/WebKit/LayoutTests/webaudio/panner-automation-basic.html ('K') | « third_party/WebKit/LayoutTests/webaudio/panner-automation-position.html ('k') | third_party/WebKit/LayoutTests/webaudio/panner-equalpower.html » ('j') | third_party/WebKit/LayoutTests/webaudio/resources/panner-model-testing.js » ('J')
Toggle Intra-line Diffs ('i') | Expand Comments ('e') | Collapse Comments ('c') | Hide Comments ('s')

OLD	NEW
(Empty)
	1 Test Automation of SpatialPannerNode Position.

	2

	3 On success, you will see a series of "PASS" messages, followed by "TEST COMPLETE ".

	4

	5

	6 PASS [0, 0, 1] -> [0, 0, 10000]: distanceModel: inverse, rolloff: 1, left channe l equals [1,0.018840152770280838,0.009509658440947533,0.006359932944178581,0.004 7775455750525,0.003825691994279623,0.003190110670402646,0.0027356273494660854,0. 0023944927379488945,0.0021290043368935585,0.0019165119156241417,0.00174258719198 40574,0.0015976035501807928,0.0014748922549188137,0.0013696871465072036,0.001278 491341508925,...] with an element-wise tolerance of 0.

	7 PASS [0, 0, 1] -> [0, 0, 10000]: distanceModel: inverse, rolloff: 1, right chann el equals [2,0.037680305540561676,0.019019316881895065,0.012719865888357162,0.00 9555091150105,0.007651383988559246,0.006380221340805292,0.005471254698932171,0.0 04788985475897789,0.004258008673787117,0.0038330238312482834,0.00348517438396811 5,0.0031952071003615856,0.0029497845098376274,0.002739374293014407,0.00255698268 301785,...] with an element-wise tolerance of 0.

	8 PASS [0, 0, 1] -> [20000, 20000, 20000]: distanceModel: inverse, rolloff: 1, lef t channel equals [1,0.0039252289570868015,0.0019611194729804993,0.00130707328207 79085,0.000980176730081439,0.0007840796606615186,0.0006533651612699032,0.0005600 061267614365,0.0004899915074929595,0.0004355384153313935,0.0003919776645489037,0 .00035633816150948405,0.0003266393905505538,0.0003015101538039744,0.000279971281 9978595,0.00026130457990802824,...] with an element-wise tolerance of {absoluteT hreshold: 0, relativeThreshold: 4.0842e-7}.

	9 PASS [0, 0, 1] -> [20000, 20000, 20000]: distanceModel: inverse, rolloff: 1, rig ht channel equals [2,0.014937937259674072,0.00748563464730978,0.0049941316246986 39,0.00374698918312788,0.002998259151354432,0.0024989203084260225,0.002142159035 4293585,0.0018745381385087967,0.0016663591377437115,0.0014997974503785372,0.0013 635075883939862,0.0012499239528551698,0.001153809018433094,0.0010714202653616667 ,0.0010000134352594614,...] with an element-wise tolerance of {absoluteThreshold : 0, relativeThreshold: 4.0842e-7}.

	10 PASS [0, 0, 1] -> [20000, 20000, 20000]: distanceModel: exponential, rolloff: 1. 5, left channel equals [1,0.00029176147654652596,0.00010315736290067434,0.000056 15216286969371,0.000036471996281761676,0.000026097268346347846,0.000019852877812 80931,0.000015754456399008632,0.000012894829524157103,0.000010806546015373897,0. 000009226791917171795,0.000007997638022061437,0.000007019060376478592,0.00000622 4948265298735,0.000005570045686908998,0.000005022431651013903,...] with an eleme nt-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 3.4117e-7}.

	11 PASS [0, 0, 1] -> [20000, 20000, 20000]: distanceModel: exponential, rolloff: 1. 5, right channel equals [2,0.001110333832912147,0.00039375387132167816,0.0002145 4902889672667,0.00013942400983069092,0.00009979391325032339,0.000075931129686068 74,0.000060264606872806326,0.000049331159971188754,0.00004134557457291521,0.0000 3530384856276214,0.00003060250310227275,0.000026859257559408434,0.00002382142338 3196816,0.000021315971025615,0.00001922086266858969,...] with an element-wise to lerance of {absoluteThreshold: 0, relativeThreshold: 3.4117e-7}.

	12 PASS [0, 0, 1] -> [20000, 20000, 20000]: distanceModel: linear, rolloff: 1, left channel equals [1,0.6976696252822876,0.6832321286201477,0.6699110269546509,0.65 68709015846252,0.6439432501792908,0.6310718655586243,0.6182326674461365,0.605413 6753082275,0.5926081538200378,0.5798119902610779,0.5670226216316223,0.5542384982 10907,0.5414581298828125,0.5286810398101807,0.5159065127372742,...] with an elem ent-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 0.0000065756}.

	13 PASS [0, 0, 1] -> [20000, 20000, 20000]: distanceModel: linear, rolloff: 1, righ t channel equals [2,2.655066728591919,2.6079115867614746,2.5596299171447754,2.51 1065721511841,2.462388753890991,2.4136552810668945,2.364889621734619,2.316103458 404541,2.267303943634033,2.2184951305389404,2.169679641723633,2.120858669281006, 2.0720338821411133,2.0232059955596924,1.97437584400177,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 0.0000065756}.

	14 PASS successfullyParsed is true

	15

	16 TEST COMPLETE

	17

OLD	NEW