Update WebAudio layout tests for Android (arm32)

third_party/WebKit/LayoutTests/webaudio/panner-automation-position-expected.txt

 Test Automation of PannerNode Positions.
 
 On success, you will see a series of "PASS" messages, followed by "TEST COMPLETE".
 
 
-PASS 1-channel [0, 0, 1] -> [0, 0, 10000]: distanceModel: inverse, rolloff: 1, left channel equals [0.7071067690849304,0.013321999460458755,0.0067243436351418495,0.00449715182185173,0.0033782348036766052,0.002705172635614872,0.0022557489573955536,0.0019343806197866797,0.0016931620193645358,0.0015054333489388227,0.0013551785377785563,0.0012321951799094677,0.0011296762386336923,0.00104290631134063,0.0009685150580480695,0.0009040298755280674,...] with an element-wise tolerance of 0.
-PASS 1-channel [0, 0, 1] -> [0, 0, 10000]: distanceModel: inverse, rolloff: 1, right channel equals [0.7071067690849304,0.013321999460458755,0.0067243436351418495,0.00449715182185173,0.0033782348036766052,0.002705172635614872,0.0022557489573955536,0.0019343806197866797,0.0016931620193645358,0.0015054333489388227,0.0013551785377785563,0.0012321951799094677,0.0011296762386336923,0.00104290631134063,0.0009685150580480695,0.0009040298755280674,...] with an element-wise tolerance of 0.
-PASS 2-channel [0, 0, 1] -> [0, 0, 10000]: distanceModel: inverse, rolloff: 1, left channel equals [1,0.018840152770280838,0.009509658440947533,0.006359932944178581,0.0047775455750525,0.003825691994279623,0.003190110670402646,0.0027356273494660854,0.0023944927379488945,0.0021290043368935585,0.0019165119156241417,0.0017425871919840574,0.0015976035501807928,0.0014748922549188137,0.0013696871465072036,0.001278491341508925,...] with an element-wise tolerance of 0.
-PASS 2-channel [0, 0, 1] -> [0, 0, 10000]: distanceModel: inverse, rolloff: 1, right channel equals [2,0.037680305540561676,0.019019316881895065,0.012719865888357162,0.009555091150105,0.007651383988559246,0.006380221340805292,0.005471254698932171,0.004788985475897789,0.004258008673787117,0.0038330238312482834,0.003485174383968115,0.0031952071003615856,0.0029497845098376274,0.002739374293014407,0.00255698268301785,...] with an element-wise tolerance of 0.
-PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: inverse, rolloff: 1, left channel equals [0.7071067690849304,0.001196307479403913,0.0005938085960224271,0.0003949022793676704,0.0002958123222924769,0.00023647479247301817,0.00019696500385180116,0.00016876752488315105,0.00014763248327653855,0.0001312017993768677,0.00011806215479737148,0.00010731472139013931,0.00009836074605118483,0.00009078587027033791,0.00008429430454270914,0.00007866910891607404,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 4.8124e-7}.
-PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: inverse, rolloff: 1, right channel equals [0.7071067690849304,0.00498276436701417,0.002494250191375613,0.0016634686617180705,0.0012478390708565712,0.0009983853669837117,0.0008320511551573873,0.0007132254540920258,0.0006240977090783417,0.000554771046154201,0.0004993066540919244,0.00045392452739179134,0.00041610468178987503,0.00038410225533880293,0.000356670847395435,0.000332896423060447,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 4.8124e-7}.
-PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: inverse, rolloff: 1, left channel equals [1,0.002326501300558448,0.0011553276563063264,0.0007684475276619196,0.000575670157559216,0.0004602163680829108,0.0003833358350675553,0.0003284646081738174,0.00028733513318002224,0.00025535948225297034,0.0002297879836987704,0.00020887165737804025,0.00019144543330185115,0.00017670303350314498,0.00016406884242314845,0.00015312072355300188,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 4.3267e-7}.
-PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: inverse, rolloff: 1, right channel equals [2,0.014814520254731178,0.007416830863803625,0.004946674220263958,0.003710799152031541,0.002969020279124379,0.002474395092576742,0.0021210394334048033,0.001855994458310306,0.0016498314216732979,0.0014848907012492418,0.00134993193205446,0.0012374616926535964,0.001142291002906859,0.0010607137810438871,0.0009900116128847003,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 4.3267e-7}.
-PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: exponential, rolloff: 1.5, left channel equals [0.7071067690849304,0.00008563726441934705,0.000030067832994973287,0.000016328625861206092,0.000010593314073048532,0.000007574611117888708,0.000005759487976320088,0.0000045689607759413775,0.0000037386932945082663,0.0000031326046610047342,0.0000026742441150418017,0.0000023176937702373834,0.0000020338857211754657,0.0000018036150777334115,0.0000016137381635417114,0.0000014549860907209222,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 5.0783e-7}.
-PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: exponential, rolloff: 1.5, right channel equals [0.7071067690849304,0.00035668950295075774,0.00012629777484107763,0.00006878197018522769,0.000044686275941785425,0.000031979649065760896,0.00002433015288261231,0.00001930880534928292,0.000015804853319423273,0.000013245842637843452,0.000011309872206766158,0.00000980348249868257,0.00000860413729242282,0.00000763084153732052,0.0000068281406129244715,0.000006156923518574331,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 5.0783e-7}.
-PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: exponential, rolloff: 1.5, left channel equals [1,0.00016654180944897234,0.00005850067100254819,0.00003177416874677874,0.00002061528357444331,0.000014741360246262047,0.000011209189324290492,0.000008892362529877573,0.000007276568794623017,0.000006097022378526162,0.000005204963144933572,0.000004511035513132811,0.000003958673914894462,0.000003510504939185921,0.0000031409495022671763,0.0000028319695957179647,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 5.218e-7}.
-PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: exponential, rolloff: 1.5, right channel equals [2,0.0010604923591017723,0.0003755554498638958,0.0002045376895694062,0.00013288715854287148,0.00009510177915217355,0.00007235421799123287,0.00005742186840507202,0.00004700180943473242,0.00003939175803679973,0.00003363448922755197,0.00002915470213338267,0.000025588007702026516,0.000022693546270602383,0.0000203064064407954,0.000018310278392164037,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 5.218e-7}.
-PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: linear, rolloff: 1, left channel equals [0.7071067690849304,0.22892199456691742,0.22258761525154114,0.21748939156532288,0.21270129084587097,0.2080373466014862,0.2034355252981186,0.19886919856071472,0.19432516396045685,0.1897958517074585,0.18527695536613464,0.18076558411121368,0.1762598603963852,0.17175845801830292,0.1672605574131012,0.16276535391807556,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 0.0000065324}.
-PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: linear, rolloff: 1, right channel equals [0.7071067690849304,0.9534875750541687,0.9349632859230042,0.9161425232887268,0.8972479104995728,0.8783238530158997,0.8593849539756775,0.840437650680542,0.8214850425720215,0.8025290369987488,0.7835704684257507,0.7646101713180542,0.7456485629081726,0.7266858816146851,0.7077224254608154,0.6887583136558533,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 0.0000065324}.
-PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: linear, rolloff: 1, left channel equals [1,0.4451926648616791,0.4330716133117676,0.4232165515422821,0.41393065452575684,0.40487271547317505,0.39592882990837097,0.38705015182495117,0.37821245193481445,0.369401752948761,0.3606102168560028,0.35183247923851013,0.34306514263153076,0.3343057632446289,0.3255528211593628,0.31680476665496826,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 0.0000065756}.
-PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: linear, rolloff: 1, right channel equals [2,2.834864377975464,2.780179977416992,2.7243428230285645,2.6682181358337402,2.611978530883789,2.5556817054748535,2.499351978302002,2.4430017471313477,2.3866379261016846,2.3302643299102783,2.2738840579986572,2.217498540878296,2.16110897064209,2.1047163009643555,2.048321008682251,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 0.0000065756}.
+PASS 1-channel [0, 0, 1] -> [0, 0, 10000]: distanceModel: inverse, rolloff: 1, left channel equals [0.70711,0.013322,0.0067243,0.0044972,0.0033782,0.0027052,0.0022557,0.0019344,0.0016932,0.0015054,0.0013552,0.0012322,0.0011297,0.0010429,0.00096852,0.00090403,...] with an element-wise tolerance of 0.
+PASS 1-channel [0, 0, 1] -> [0, 0, 10000]: distanceModel: inverse, rolloff: 1, right channel equals [0.70711,0.013322,0.0067243,0.0044972,0.0033782,0.0027052,0.0022557,0.0019344,0.0016932,0.0015054,0.0013552,0.0012322,0.0011297,0.0010429,0.00096852,0.00090403,...] with an element-wise tolerance of 0.
+PASS 2-channel [0, 0, 1] -> [0, 0, 10000]: distanceModel: inverse, rolloff: 1, left channel equals [1.0000,0.018840,0.0095097,0.0063599,0.0047775,0.0038257,0.0031901,0.0027356,0.0023945,0.0021290,0.0019165,0.0017426,0.0015976,0.0014749,0.0013697,0.0012785,...] with an element-wise tolerance of 0.
+PASS 2-channel [0, 0, 1] -> [0, 0, 10000]: distanceModel: inverse, rolloff: 1, right channel equals [2.0000,0.037680,0.019019,0.012720,0.0095551,0.0076514,0.0063802,0.0054713,0.0047890,0.0042580,0.0038330,0.0034852,0.0031952,0.0029498,0.0027394,0.0025570,...] with an element-wise tolerance of 0.
+PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: inverse, rolloff: 1, left channel equals [0.70711,0.0011963,0.00059381,0.00039490,0.00029581,0.00023647,0.00019697,0.00016877,0.00014763,0.00013120,0.00011806,0.00010731,0.000098361,0.000090786,0.000084294,0.000078669,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 4.8124e-7}.
+PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: inverse, rolloff: 1, right channel equals [0.70711,0.0049828,0.0024943,0.0016635,0.0012478,0.00099839,0.00083205,0.00071323,0.00062410,0.00055477,0.00049931,0.00045392,0.00041610,0.00038410,0.00035667,0.00033290,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 4.8124e-7}.
+PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: inverse, rolloff: 1, left channel equals [1.0000,0.0023265,0.0011553,0.00076845,0.00057567,0.00046022,0.00038334,0.00032846,0.00028734,0.00025536,0.00022979,0.00020887,0.00019145,0.00017670,0.00016407,0.00015312,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 4.3267e-7}.
+PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: inverse, rolloff: 1, right channel equals [2.0000,0.014815,0.0074168,0.0049467,0.0037108,0.0029690,0.0024744,0.0021210,0.0018560,0.0016498,0.0014849,0.0013499,0.0012375,0.0011423,0.0010607,0.00099001,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 4.3267e-7}.
+PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: exponential, rolloff: 1.5, left channel equals [0.70711,0.000085637,0.000030068,0.000016329,0.000010593,0.0000075746,0.0000057595,0.0000045690,0.0000037387,0.0000031326,0.0000026742,0.0000023177,0.0000020339,0.0000018036,0.0000016137,0.0000014550,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 5.0783e-7}.
+PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: exponential, rolloff: 1.5, right channel equals [0.70711,0.00035669,0.00012630,0.000068782,0.000044686,0.000031980,0.000024330,0.000019309,0.000015805,0.000013246,0.000011310,0.0000098035,0.0000086041,0.0000076308,0.0000068281,0.0000061569,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 5.0783e-7}.
+PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: exponential, rolloff: 1.5, left channel equals [1.0000,0.00016654,0.000058501,0.000031774,0.000020615,0.000014741,0.000011209,0.0000088924,0.0000072766,0.0000060970,0.0000052050,0.0000045110,0.0000039587,0.0000035105,0.0000031409,0.0000028320,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 5.218e-7}.
+PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: exponential, rolloff: 1.5, right channel equals [2.0000,0.0010605,0.00037556,0.00020454,0.00013289,0.000095102,0.000072354,0.000057422,0.000047002,0.000039392,0.000033634,0.000029155,0.000025588,0.000022694,0.000020306,0.000018310,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 5.218e-7}.
+PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: linear, rolloff: 1, left channel equals [0.70711,0.22892,0.22259,0.21749,0.21270,0.20804,0.20344,0.19887,0.19433,0.18980,0.18528,0.18077,0.17626,0.17176,0.16726,0.16277,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 0.0000065324}.
+PASS 1-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: linear, rolloff: 1, right channel equals [0.70711,0.95349,0.93496,0.91614,0.89725,0.87832,0.85938,0.84044,0.82149,0.80253,0.78357,0.76461,0.74565,0.72669,0.70772,0.68876,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 0.0000065324}.
+PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: linear, rolloff: 1, left channel equals [1.0000,0.44519,0.43307,0.42322,0.41393,0.40487,0.39593,0.38705,0.37821,0.36940,0.36061,0.35183,0.34307,0.33431,0.32555,0.31680,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 0.0000065756}.
+PASS 2-channel [0, 0, 1] -> [20000, 30000, 10000]: distanceModel: linear, rolloff: 1, right channel equals [2.0000,2.8349,2.7802,2.7243,2.6682,2.6120,2.5557,2.4994,2.4430,2.3866,2.3303,2.2739,2.2175,2.1611,2.1047,2.0483,...] with an element-wise tolerance of {absoluteThreshold: 0, relativeThreshold: 0.0000065756}.
 PASS successfullyParsed is true
 
 TEST COMPLETE