| 1 |
- {"v":"5.5.7","meta":{"g":"LottieFiles AE 0.1.20","a":"","k":"","d":"","tc":""},"fr":24,"ip":0,"op":72,"w":900,"h":900,"nm":"690 [Converted] copy","ddd":0,"assets":[{"id":"image_0","w":224,"h":311,"u":"","p":"data:image/png;base64,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","e":1},{"id":"image_1","w":224,"h":311,"u":"","p":"data:image/png;base64,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","e":1},{"id":"image_2","w":224,"h":311,"u":"","p":"data:image/png;base64,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","e":1},{"id":"comp_0","layers":[{"ddd":0,"ind":1,"ty":4,"nm":"267690-P6K6RJ-260 Outlines","sr":1,"ks":{"o":{"a":0,"k":100,"ix":11},"r":{"a":0,"k":0,"ix":10},"p":{"a":0,"k":[250,250,0],"ix":2},"a":{"a":0,"k":[250,250,0],"ix":1},"s":{"a":0,"k":[100,100,100],"ix":6}},"ao":0,"shapes":[{"ty":"gr","it":[{"ind":0,"ty":"sh","ix":1,"ks":{"a":0,"k":{"i":[[0.545,0],[0.423,0.43],[15.165,14.857],[-0.834,0.852],[-0.85,-0.833],[-14.944,-15.226],[0.851,-0.836]],"o":[[-0.56,0],[-14.924,-15.208],[-0.852,-0.833],[0.835,-0.852],[15.186,14.875],[0.834,0.851],[-0.42,0.411]],"v":[[22.69,24.934],[21.148,24.288],[-24.198,-21.018],[-24.229,-24.07],[-21.177,-24.101],[24.229,21.264],[24.201,24.317]],"c":true},"ix":2},"nm":"Path 1","mn":"ADBE Vector Shape - Group","hd":false},{"ty":"fl","c":{"a":0,"k":[1,1,1,1],"ix":4},"o":{"a":0,"k":100,"ix":5},"r":1,"bm":0,"nm":"Fill 1","mn":"ADBE Vector Graphic - Fill","hd":false},{"ty":"tr","p":{"a":0,"k":[333.601,346.922],"ix":2},"a":{"a":0,"k":[0,0],"ix":1},"s":{"a":0,"k":[100,100],"ix":3},"r":{"a":0,"k":0,"ix":6},"o":{"a":0,"k":100,"ix":7},"sk":{"a":0,"k":0,"ix":4},"sa":{"a":0,"k":0,"ix":5},"nm":"Transform"}],"nm":"Group 1","np":2,"cix":2,"bm":0,"ix":1,"mn":"ADBE Vector Group","hd":false},{"ty":"gr","it":[{"ind":0,"ty":"sh","ix":1,"ks":{"a":0,"k":{"i":[[0.552,0],[0.421,0.421],[0,0],[-0.843,0.842],[-0.843,-0.843],[0,0],[0.843,-0.843]],"o":[[-0.552,0],[0,0],[-0.843,-0.841],[0.843,-0.843],[0,0],[0.843,0.842],[-0.421,0.421]],"v":[[6.591,8.853],[5.065,8.221],[-8.116,-4.96],[-8.116,-8.01],[-5.065,-8.01],[8.116,5.17],[8.116,8.221]],"c":true},"ix":2},"nm":"Path 1","mn":"ADBE Vector Shape - Group","hd":false},{"ty":"fl","c":{"a":0,"k":[1,1,1,1],"ix":4},"o":{"a":0,"k":100,"ix":5},"r":1,"bm":0,"nm":"Fill 1","mn":"ADBE Vector Graphic - Fill","hd":false},{"ty":"tr","p":{"a":0,"k":[368.121,381.465],"ix":2},"a":{"a":0,"k":[0,0],"ix":1},"s":{"a":0,"k":[100,100],"ix":3},"r":{"a":0,"k":0,"ix":6},"o":{"a":0,"k":100,"ix":7},"sk":{"a":0,"k":0,"ix":4},"sa":{"a":0,"k":0,"ix":5},"nm":"Transform"}],"nm":"Group 2","np":2,"cix":2,"bm":0,"ix":2,"mn":"ADBE Vector Group","hd":false},{"ty":"gr","it":[{"ind":0,"ty":"sh","ix":1,"ks":{"a":0,"k":{"i":[[5.386,0],[4.108,4.109],[0,0],[-8.217,8.217],[-8.217,-8.22],[0,0],[8.219,-8.218]],"o":[[-5.384,0],[0,0],[-8.217,-8.218],[8.218,-8.22],[0,0],[8.219,8.218],[-4.109,4.109]],"v":[[31.897,53.968],[17.02,47.805],[-46.779,-15.992],[-46.779,-45.749],[-17.023,-45.749],[46.776,18.049],[46.776,47.805]],"c":true},"ix":2},"nm":"Path 1","mn":"ADBE Vector Shape - Group","hd":false},{"ty":"fl","c":{"a":0,"k":[0.5,0.533333361149,0.858823537827,1],"ix":4},"o":{"a":0,"k":100,"ix":5},"r":1,"bm":0,"nm":"Fill 1","mn":"ADBE Vector Graphic - Fill","hd":false},{"ty":"tr","p":{"a":0,"k":[334.852,363.196],"ix":2},"a":{"a":0,"k":[0,0],"ix":1},"s":{"a":0,"k":[100,100],"ix":3},"r":{"a":0,"k":0,"ix":6},"o":{"a":0,"k":100,"ix":7},"sk":{"a":0,"k":0,"ix":4},"sa":{"a":0,"k":0,"ix":5},"nm":"Transform"}],"nm":"Group 3","np":2,"cix":2,"bm":0,"ix":3,"mn":"ADBE Vector Group","hd":false},{"ty":"gr","it":[{"ind":0,"ty":"sh","ix":1,"ks":{"a":0,"k":{"i":[[0,0],[0,0],[0,0],[0,0]],"o":[[0,0],[0,0],[0,0],[0,0]],"v":[[44.406,54.326],[-54.326,-44.407],[-44.406,-54.326],[54.326,44.405]],"c":true},"ix":2},"nm":"Path 1","mn":"ADBE Vector Shape - Group","hd":false},{"ty":"fl","c":{"a":0,"k":[0.5,0.5,0.5,1],"ix":4},"o":{"a":0,"k":100,"ix":5},"r":1,"bm":0,"nm":"Fill 1","mn":"ADBE Vector Graphic - Fill","hd":false},{"ty":"tr","p":{"a":0,"k":[326.96,356.334],"ix":2},"a":{"a":0,"k":[0,0],"ix":1},"s":{"a":0,"k":[100,100],"ix":3},"r":{"a":0,"k":0,"ix":6},"o":{"a":0,"k":100,"ix":7},"sk":{"a":0,"k":0,"ix":4},"sa":{"a":0,"k":0,"ix":5},"nm":"Transform"}],"nm":"Group 4","np":2,"cix":2,"bm":0,"ix":4,"mn":"ADBE Vector Group","hd":false},{"ty":"gr","it":[{"ind":0,"ty":"sh","ix":1,"ks":{"a":0,"k":{"i":[[0.521,0],[0.665,1.705],[25.994,0],[0,2.383],[-2.384,0],[-10.742,-27.553],[2.222,-0.866]],"o":[[-1.727,0],[-9.441,-24.213],[-2.384,0],[0,-2.384],[29.578,0],[0.866,2.22],[-0.515,0.201]],"v":[[30.892,25.62],[26.87,22.872],[-31.462,-16.988],[-35.778,-21.303],[-31.462,-25.62],[34.912,19.736],[32.458,25.325]],"c":true},"ix":2},"nm":"Path 1","mn":"ADBE Vector Shape - Group","hd":false},{"ty":"fl","c":{"a":0,"k":[1,1,1,1],"ix":4},"o":{"a":0,"k":100,"ix":5},"r":1,"bm":0,"nm":"Fill 1","mn":"ADBE Vector Graphic - Fill","hd":false},{"ty":"tr","p":{"a":0,"k":[239.091,191.285],"ix":2},"a":{"a":0,"k":[0,0],"ix":1},"s":{"a":0,"k":[100,100],"ix":3},"r":{"a":0,"k":0,"ix":6},"o":{"a":0,"k":100,"ix":7},"sk":{"a":0,"k":0,"ix":4},"sa":{"a":0,"k":0,"ix":5},"nm":"Transform"}],"nm":"Group 5","np":2,"cix":2,"bm":0,"ix":5,"mn":"ADBE Vector Group","hd":false},{"ty":"gr","it":[{"ind":0,"ty":"sh","ix":1,"ks":{"a":0,"k":{"i":[[2.383,0],[0,2.383],[0.871,4.188],[-2.335,0.485],[-0.486,-2.333],[0,-4.903]],"o":[[-2.384,0],[0,-4.313],[-0.485,-2.334],[2.334,-0.488],[0.99,4.765],[0,2.383]],"v":[[0.899,11.359],[-3.417,7.044],[-4.73,-5.767],[-1.382,-10.871],[3.722,-7.525],[5.215,7.044]],"c":true},"ix":2},"nm":"Path 1","mn":"ADBE Vector Shape - Group","hd":false},{"ty":"fl","c":{"a":0,"k":[1,1,1,1],"ix":4},"o":{"a":0,"k":100,"ix":5},"r":1,"bm":0,"nm":"Fill 1","mn":"ADBE Vector Graphic - Fill","hd":false},{"ty":"tr","p":{"a":0,"k":[273.631,229.838],"ix":2},"a":{"a":0,"k":[0,0],"ix":1},"s":{"a":0,"k":[100,100],"ix":3},"r":{"a":0,"k":0,"ix":6},"o":{"a":0,"k":100,"ix":7},"sk":{"a":0,"k":0,"ix":4},"sa":{"a":0,"k":0,"ix":5},"nm":"Transform"}],"nm":"Group 6","np":2,"cix":2,"bm":0,"ix":6,"mn":"ADBE Vector Group","hd":false},{"ty":"gr","it":[{"ind":0,"ty":"sh","ix":1,"ks":{"a":0,"k":{"i":[[47.673,0],[0,-47.673],[-47.673,0],[0,47.673]],"o":[[-47.673,0],[0,47.673],[47.673,0],[0,-47.673]],"v":[[0,-86.458],[-86.458,0],[0,86.457],[86.458,0]],"c":true},"ix":2},"nm":"Path 1","mn":"ADBE Vector Shape - Group","hd":false},{"ind":1,"ty":"sh","ix":2,"ks":{"a":0,"k":{"i":[[55.408,0],[0,55.407],[-55.407,0],[0,-55.408]],"o":[[-55.407,0],[0,-55.408],[55.408,0],[0,55.407]],"v":[[0,100.485],[-100.485,0],[0,-100.485],[100.485,0]],"c":true},"ix":2},"nm":"Path 2","mn":"ADBE Vector Shape - Group","hd":false},{"ty":"fl","c":{"a":0,"k":[0.501960813999,0.533333361149,0.858823597431,1],"ix":4},"o":{"a":0,"k":100,"ix":5},"r":1,"bm":0,"nm":"Fill 1","mn":"ADBE Vector Graphic - Fill","hd":false},{"ty":"tr","p":{"a":0,"k":[207.629,236.881],"ix":2},"a":{"a":0,"k":[0,0],"ix":1},"s":{"a":0,"k":[100,100],"ix":3},"r":{"a":0,"k":0,"ix":6},"o":{"a":0,"k":100,"ix":7},"sk":{"a":0,"k":0,"ix":4},"sa":{"a":0,"k":0,"ix":5},"nm":"Transform"}],"nm":"Group 7","np":3,"cix":2,"bm":0,"ix":7,"mn":"ADBE Vector Group","hd":false}],"ip":0,"op":288,"st":0,"bm":0}]}],"layers":[{"ddd":0,"ind":1,"ty":0,"nm":"267690-P6K6RJ-260","refId":"comp_0","sr":1,"ks":{"o":{"a":0,"k":100,"ix":11},"r":{"a":0,"k":0,"ix":10},"p":{"a":1,"k":[{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":0,"s":[512,597.718,0],"to":[17.167,-33.5,0],"ti":[8.167,37.5,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":7,"s":[615,396.718,0],"to":[-8.167,-37.5,0],"ti":[27.5,-8.88,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":15,"s":[463,372.718,0],"to":[-27.5,8.88,0],"ti":[-9.833,-0.88,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":24,"s":[450,450,0],"to":[9.833,0.88,0],"ti":[-8,8.667,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":32,"s":[522,378,0],"to":[8,-8.667,0],"ti":[11.333,-17.333,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":44,"s":[498,398,0],"to":[-11.333,17.333,0],"ti":[-7.333,-19.333,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":55.571,"s":[454,482,0],"to":[7.333,19.333,0],"ti":[-9.667,-19.286,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":64.571,"s":[542,514,0],"to":[9.667,19.286,0],"ti":[5,-13.953,0]},{"t":71,"s":[512,597.718,0]}],"ix":2,"x":"var $bm_rt;\nvar n, n, t, t, v, amp, freq, decay;\n$bm_rt = n = 0;\nif (numKeys > 0) {\n $bm_rt = n = nearestKey(time).index;\n if (key(n).time > time) {\n n--;\n }\n}\nif (n == 0) {\n $bm_rt = t = 0;\n} else {\n $bm_rt = t = $bm_sub(time, key(n).time);\n}\nif (n > 0 && t < 1) {\n v = velocityAtTime($bm_sub(key(n).time, $bm_div(thisComp.frameDuration, 10)));\n amp = 0.05;\n freq = 4;\n decay = 8;\n $bm_rt = $bm_sum(value, $bm_div($bm_mul($bm_mul(v, amp), Math.sin($bm_mul($bm_mul($bm_mul(freq, t), 2), Math.PI))), Math.exp($bm_mul(decay, t))));\n} else {\n $bm_rt = value;\n}"},"a":{"a":0,"k":[250,250,0],"ix":1},"s":{"a":0,"k":[100,100,100],"ix":6}},"ao":0,"w":500,"h":500,"ip":0,"op":288,"st":0,"bm":0},{"ddd":0,"ind":2,"ty":2,"nm":"Layer 3","refId":"image_0","sr":1,"ks":{"o":{"a":0,"k":100,"ix":11},"r":{"a":0,"k":0,"ix":10},"p":{"a":1,"k":[{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":0,"s":[449.279,449.877,0],"to":[9.167,0,0],"ti":[-9.167,0,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":12,"s":[504.279,449.877,0],"to":[0,0,0],"ti":[0,0,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":35,"s":[504.279,449.877,0],"to":[-9.167,0,0],"ti":[9.167,0,0]},{"t":47,"s":[449.279,449.877,0]}],"ix":2,"x":"var $bm_rt;\nvar n, n, t, t, v, amp, freq, decay;\n$bm_rt = n = 0;\nif (numKeys > 0) {\n $bm_rt = n = nearestKey(time).index;\n if (key(n).time > time) {\n n--;\n }\n}\nif (n == 0) {\n $bm_rt = t = 0;\n} else {\n $bm_rt = t = $bm_sub(time, key(n).time);\n}\nif (n > 0 && t < 1) {\n v = velocityAtTime($bm_sub(key(n).time, $bm_div(thisComp.frameDuration, 10)));\n amp = 0.05;\n freq = 4;\n decay = 8;\n $bm_rt = $bm_sum(value, $bm_div($bm_mul($bm_mul(v, amp), Math.sin($bm_mul($bm_mul($bm_mul(freq, t), 2), Math.PI))), Math.exp($bm_mul(decay, t))));\n} else {\n $bm_rt = value;\n}"},"a":{"a":1,"k":[{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":0,"s":[111.531,155.42,0],"to":[61.995,0,0],"ti":[-61.995,0,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":12,"s":[483.5,155.42,0],"to":[0,0,0],"ti":[0,0,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":35,"s":[483.5,155.42,0],"to":[-61.995,0,0],"ti":[61.995,0,0]},{"t":47,"s":[111.531,155.42,0]}],"ix":1},"s":{"a":1,"k":[{"i":{"x":[0.833,0.833,0.833],"y":[0.833,0.833,0.833]},"o":{"x":[0.167,0.167,0.167],"y":[0.167,0.167,0.167]},"t":0,"s":[150,150,100]},{"i":{"x":[0.833,0.833,0.833],"y":[0.833,0.833,0.833]},"o":{"x":[0.167,0.167,0.167],"y":[0.167,0.167,0.167]},"t":12,"s":[100,100,100]},{"i":{"x":[0.833,0.833,0.833],"y":[0.833,0.833,0.833]},"o":{"x":[0.167,0.167,0.167],"y":[0.167,0.167,0.167]},"t":35,"s":[100,100,100]},{"t":47,"s":[150,150,100]}],"ix":6,"x":"var $bm_rt;\nvar n, n, t, t, v, amp, freq, decay;\n$bm_rt = n = 0;\nif (numKeys > 0) {\n $bm_rt = n = nearestKey(time).index;\n if (key(n).time > time) {\n n--;\n }\n}\nif (n == 0) {\n $bm_rt = t = 0;\n} else {\n $bm_rt = t = $bm_sub(time, key(n).time);\n}\nif (n > 0 && t < 1) {\n v = velocityAtTime($bm_sub(key(n).time, $bm_div(thisComp.frameDuration, 10)));\n amp = 0.05;\n freq = 4;\n decay = 8;\n $bm_rt = $bm_sum(value, $bm_div($bm_mul($bm_mul(v, amp), Math.sin($bm_mul($bm_mul($bm_mul(freq, t), 2), Math.PI))), Math.exp($bm_mul(decay, t))));\n} else {\n $bm_rt = value;\n}"}},"ao":0,"ip":0,"op":288,"st":0,"bm":0},{"ddd":0,"ind":3,"ty":2,"nm":"Layer 2","refId":"image_1","sr":1,"ks":{"o":{"a":0,"k":100,"ix":11},"r":{"a":0,"k":0,"ix":10},"p":{"a":1,"k":[{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":0,"s":[410.74,449.9,0],"to":[-81.833,0,0],"ti":[81.833,0,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":12,"s":[-80.26,449.9,0],"to":[0,0,0],"ti":[0,0,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":35,"s":[-80.26,449.9,0],"to":[81.833,0,0],"ti":[-81.833,0,0]},{"t":47,"s":[410.74,449.9,0]}],"ix":2,"x":"var $bm_rt;\nvar n, n, t, t, v, amp, freq, decay;\n$bm_rt = n = 0;\nif (numKeys > 0) {\n $bm_rt = n = nearestKey(time).index;\n if (key(n).time > time) {\n n--;\n }\n}\nif (n == 0) {\n $bm_rt = t = 0;\n} else {\n $bm_rt = t = $bm_sub(time, key(n).time);\n}\nif (n > 0 && t < 1) {\n v = velocityAtTime($bm_sub(key(n).time, $bm_div(thisComp.frameDuration, 10)));\n amp = 0.05;\n freq = 4;\n decay = 8;\n $bm_rt = $bm_sum(value, $bm_div($bm_mul($bm_mul(v, amp), Math.sin($bm_mul($bm_mul($bm_mul(freq, t), 2), Math.PI))), Math.exp($bm_mul(decay, t))));\n} else {\n $bm_rt = value;\n}"},"a":{"a":0,"k":[-241.531,155.42,0],"ix":1},"s":{"a":1,"k":[{"i":{"x":[0.833,0.833,0.833],"y":[0.833,0.833,0.833]},"o":{"x":[0.167,0.167,0.167],"y":[0.167,0.167,0.167]},"t":0,"s":[100,100,100]},{"i":{"x":[0.833,0.833,0.833],"y":[0.833,0.833,0.833]},"o":{"x":[0.167,0.167,0.167],"y":[0.167,0.167,0.167]},"t":12,"s":[150,150,100]},{"i":{"x":[0.833,0.833,0.833],"y":[0.833,0.833,0.833]},"o":{"x":[0.167,0.167,0.167],"y":[0.167,0.167,0.167]},"t":35,"s":[150,150,100]},{"t":47,"s":[100,100,100]}],"ix":6,"x":"var $bm_rt;\nvar n, n, t, t, v, amp, freq, decay;\n$bm_rt = n = 0;\nif (numKeys > 0) {\n $bm_rt = n = nearestKey(time).index;\n if (key(n).time > time) {\n n--;\n }\n}\nif (n == 0) {\n $bm_rt = t = 0;\n} else {\n $bm_rt = t = $bm_sub(time, key(n).time);\n}\nif (n > 0 && t < 1) {\n v = velocityAtTime($bm_sub(key(n).time, $bm_div(thisComp.frameDuration, 10)));\n amp = 0.05;\n freq = 4;\n decay = 8;\n $bm_rt = $bm_sum(value, $bm_div($bm_mul($bm_mul(v, amp), Math.sin($bm_mul($bm_mul($bm_mul(freq, t), 2), Math.PI))), Math.exp($bm_mul(decay, t))));\n} else {\n $bm_rt = value;\n}"}},"ao":0,"ip":0,"op":288,"st":0,"bm":0},{"ddd":0,"ind":4,"ty":2,"nm":"Layer 5","refId":"image_2","sr":1,"ks":{"o":{"a":0,"k":100,"ix":11},"r":{"a":0,"k":0,"ix":10},"p":{"a":1,"k":[{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":0,"s":[1551.366,449.9,0],"to":[-69.333,0,0],"ti":[69.333,0,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":12,"s":[1135.366,449.9,0],"to":[0,0,0],"ti":[0,0,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":35,"s":[1135.366,449.9,0],"to":[69.333,0,0],"ti":[-69.333,0,0]},{"t":47,"s":[1551.366,449.9,0]}],"ix":2,"x":"var $bm_rt;\nvar n, n, t, t, v, amp, freq, decay;\n$bm_rt = n = 0;\nif (numKeys > 0) {\n $bm_rt = n = nearestKey(time).index;\n if (key(n).time > time) {\n n--;\n }\n}\nif (n == 0) {\n $bm_rt = t = 0;\n} else {\n $bm_rt = t = $bm_sub(time, key(n).time);\n}\nif (n > 0 && t < 1) {\n v = velocityAtTime($bm_sub(key(n).time, $bm_div(thisComp.frameDuration, 10)));\n amp = 0.05;\n freq = 4;\n decay = 8;\n $bm_rt = $bm_sum(value, $bm_div($bm_mul($bm_mul(v, amp), Math.sin($bm_mul($bm_mul($bm_mul(freq, t), 2), Math.PI))), Math.exp($bm_mul(decay, t))));\n} else {\n $bm_rt = value;\n}"},"a":{"a":0,"k":[483.531,155.42,0],"ix":1},"s":{"a":0,"k":[100,100,100],"ix":6}},"ao":0,"ip":0,"op":288,"st":0,"bm":0},{"ddd":0,"ind":5,"ty":2,"nm":"Layer 4","refId":"image_2","sr":1,"ks":{"o":{"a":0,"k":100,"ix":11},"r":{"a":0,"k":0,"ix":10},"p":{"a":1,"k":[{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":0,"s":[505.74,449.9,0],"to":[-60.833,0,0],"ti":[60.833,0,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":12,"s":[140.74,449.9,0],"to":[0,0,0],"ti":[0,0,0]},{"i":{"x":0.833,"y":0.833},"o":{"x":0.167,"y":0.167},"t":35,"s":[140.74,449.9,0],"to":[60.833,0,0],"ti":[-60.833,0,0]},{"t":47,"s":[505.74,449.9,0]}],"ix":2,"x":"var $bm_rt;\nvar n, n, t, t, v, amp, freq, decay;\n$bm_rt = n = 0;\nif (numKeys > 0) {\n $bm_rt = n = nearestKey(time).index;\n if (key(n).time > time) {\n n--;\n }\n}\nif (n == 0) {\n $bm_rt = t = 0;\n} else {\n $bm_rt = t = $bm_sub(time, key(n).time);\n}\nif (n > 0 && t < 1) {\n v = velocityAtTime($bm_sub(key(n).time, $bm_div(thisComp.frameDuration, 10)));\n amp = 0.05;\n freq = 4;\n decay = 8;\n $bm_rt = $bm_sum(value, $bm_div($bm_mul($bm_mul(v, amp), Math.sin($bm_mul($bm_mul($bm_mul(freq, t), 2), Math.PI))), Math.exp($bm_mul(decay, t))));\n} else {\n $bm_rt = value;\n}"},"a":{"a":0,"k":[483.531,155.42,0],"ix":1},"s":{"a":0,"k":[100,100,100],"ix":6}},"ao":0,"ip":0,"op":288,"st":0,"bm":0},{"ddd":0,"ind":6,"ty":4,"nm":"Shape Layer 1","sr":1,"ks":{"o":{"a":0,"k":100,"ix":11},"r":{"a":0,"k":0,"ix":10},"p":{"a":0,"k":[450,450,0],"ix":2},"a":{"a":0,"k":[46,-30,0],"ix":1},"s":{"a":0,"k":[100,100,100],"ix":6}},"ao":0,"shapes":[{"ty":"gr","it":[{"ind":0,"ty":"sh","ix":1,"ks":{"a":0,"k":{"i":[[134.757,0],[0,-134.757],[-134.757,0],[0,134.757]],"o":[[-134.757,0],[0,134.757],[134.757,0],[0,-134.757]],"v":[[0,-244],[-244,0],[0,244],[244,0]],"c":true},"ix":2},"nm":"Path 1","mn":"ADBE Vector Shape - Group","hd":false},{"ty":"fl","c":{"a":0,"k":[0.462745098039,0.705882352941,1,1],"ix":4},"o":{"a":0,"k":100,"ix":5},"r":1,"bm":0,"nm":"Fill 1","mn":"ADBE Vector Graphic - Fill","hd":false},{"ty":"tr","p":{"a":0,"k":[46,-30],"ix":2},"a":{"a":0,"k":[0,0],"ix":1},"s":{"a":0,"k":[100,100],"ix":3},"r":{"a":0,"k":0,"ix":6},"o":{"a":0,"k":100,"ix":7},"sk":{"a":0,"k":0,"ix":4},"sa":{"a":0,"k":0,"ix":5},"nm":"Transform"}],"nm":"Ellipse 1","np":2,"cix":2,"bm":0,"ix":1,"mn":"ADBE Vector Group","hd":false}],"ip":0,"op":288,"st":0,"bm":0}],"markers":[]}
|
