See https://forum.snap.berkeley.edu/t/4998data:image/png;base64,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 https://forum.snap.berkeley.edu/t/4998de:animiere Setter _ Getter _ Delta _ über _ Sek. beschleunigt _
ca:modifica setter _ i getter _ amb delta _ en _ segons de forma _
pt:anima com modificador _ e inspector _ de _ em _ s de forma _
501de:Grad _
ca:graus de _ radians
pt:_ radianos em graus
0.5de:Fehler _
pt:assinala o erro _
de:gleite _ in _ Sek. beschleunigt: _
ca:llisca _ en _ segons de forma _
fr:glisser _ en _ sec. accélérer _
pt:desliza _ em _ s de forma _
501linearlinear
quadratic={
quadratic-in
quadratic-out
quadratic-in-out
}
cubic={
cubic-in
cubic-out
cubic-in-out
}
quart={
quart-in
quart-out
quart-in-out
}
sinusoidal={
sine-in
sine-out
sine-in-out
}
elasticde:animiere _ um _ in _ Sek. beschleunigt: _
ca:modifica _ amb _ en _ segons de forma _
pt:anima _ de _ em _ s de forma _
x positionx position
y position
direction
size
ghost effect
color effect
saturation effect
brightness effect
fisheye effect
whirl effect
pixelate effect
mosaic effect
negative effect
tempo
volume
balance501linearlinear
quadratic={
quadratic-in
quadratic-out
quadratic-in-out
}
cubic={
cubic-in
cubic-out
cubic-in-out
}
quart={
quart-in
quart-out
quart-in-out
}
sinusoidal={
sine-in
sine-out
sine-in-out
}
elasticy positiondirectionsizetempovolumebalance112de:Beschleunigung _
ca:de forma _
pt:a forma _
linearlinear
quadratic={
quadratic-in
quadratic-out
quadratic-in-out
}
cubic={
cubic-in
cubic-out
cubic-in-out
}
quart={
quart-in
quart-out
quart-in-out
}
sinusoidal={
sine-in
sine-out
sine-in-out
}
elasticquadratic-inquadratic-outquadratic-in-outcubic-incubic-outcubic-in-outquart-inquart-outquart-in-outsine-insine-outsine-in-outelasticunknown easing function ""de:für _ = _ bis _ _ in _ Sek. beschleunigt: _ _
ca:per _ = _ fins _ _ en _ segons de forma _ _
pt:para _ de _ a _ _ em _ s de forma _ _
01001linearlinear
quadratic={
quadratic-in
quadratic-out
quadratic-in-out
}
cubic={
cubic-in
cubic-out
cubic-in-out
}
quart={
quart-in
quart-out
quart-in-out
}
sinusoidal={
sine-in
sine-out
sine-in-out
}
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