Basat en el programet d'en Bernat Romagosa amb les rajoles de Truchet.
És part de la presentació d'una versió del projecte Enrajolem d'en Jordi Font i en Roger Grau per mostrar les possibilitats dels 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 en el programet d'en Bernat Romagosa amb les rajoles de Truchet.
És part de la presentació d'una versió del projecte Enrajolem d'en Jordi Font i en Roger Grau per mostrar les possibilitats dels enrajolats!de: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
}
elasticend time1000deltaXdeltaYde: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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QIECAgAD7AQIECBAgEAgIcIBukgABAgQIHLFxAWmhEwHPAAAAAElFTkSuQmCC