I added some functions controlling by random number to this patch in order to make the frequency graph as a motion graph. Also, it triggers the record option automatically in order to make more diversity by using different parts of the piece.

For this assignment I started by implementing the vocoder that was shared on the Facebook group. I was excited with the results and wanted to see if I could take the set pitch and set it relative to a pitch coming from my input. This led me to look into auto-tune and a method of implementing this.

Jesse shared with me the tool fzero~ and this helped translate speech into raw frequency. From there I used a trick where I translated to midi and then back again. Since midi values are ints the frequency got rounded down to the nearest midi value (an acceptable pitch), thus mimicking auto-tune effects.

Unfortunately, the fzero~ object can be erratic, and so the robotic voice that results is rather spazmatic and terrifying. I’m looking into how to smooth out this process and avoid the strange pitch spikes that occur, but for now it creates this beautiful glitchy robot voice.

ENJOY!

Code:

----------begin_max5_patcher----------
1024.3ocwYEsjaBBE84juBFeamIsCfnwsO025OPm9RmNcHJIgVErHtY21o62
dQPS110jnFR5KZffb3btWtbh4WymErR9HqJ.7NvmAyl8q4ylY6poiYssmETP
eLMmVYGVPAqphtgErv8cZ1iZa+xRlnqSQcAWjyz1m.21YIUmtkK17UEKU6PL
jfeKbA.E1bMbYyUroGvWNLOxZc2DgZ600k9oRlaVBB1+.7L2ZY02dClDzz2u
mOu4xhAxNChqXpd4A5D7HN1x.RRysH3YHB9nDYAHXEUroeBgC1uBTzBllo9J
SPWkaeZ3THKamYheUjjKziNPhQVA.E0b69noFIaftOtiVNkf45boA2QGLu2l
HFlPFUvbsTUPsSQ7jBuHxMJ7VnkqGslzFecI3gDutScRw1iPt0+jojOCdudq
hUsUlmALwOL38RQESWxMDCfFM4Q1DBDzVrBihOC6COF6M4ilLjEu3C8pGQdT
OnYoOOV9hidQl+YqJezhYU7MBZdCKa+TebcREoSkEErCEo1S1v6.ePBVQS+N
XsRV.J3YbfVZZv9QMSj9DfJx.OHSkYLfdK6EewNtdqsKohugaVs.tnrdOD4b
AKUVKr3PFodFm3pGFYugbpaL7nJJ70xT3RepS36.erVI.t3hgoFMpSqTFVl0
7AJHiUwUrLfcaSuJAdhJAD5TBWFV3nThPepDHiRnnhpbpl4h3N0nK20ebNNY
5TF4wBBUzcOCHD3TOg2cpXLdpm.bhZAXzMzwVRKCtpN1f2nizWqkESUAb6E8
7Q5njoDJWUq0RwXIBIt8GQDe37plqikHG2YFx2gwIZLs0Ghin2Liow9l814X
7tRHt5ngVdm.69giiML67d0abNdJIsanbwoISQctlmtkJDr7GnJN0cPB7rbk
rD0EiMbk.uDOX8y3H+Ga6+sCTooJ8NtHStarm7zZG08RBV525T26wSVynGwp
8oNU0XKHZeR8Y8Z2m4.Oxfx0q0OC9j0er5MlFiNT0l2FdguFfSXR3u7HXGf0
d1+7Jrrqsl9+aQnRVqR6.wE+W.Nr5LFd0Fu+Zt4PnCig3FSux7PwY4.vwX+4
kCRpLAAqJc0QFQ5GY3Egb7PPNwChaz..J1S3fOGgPd.Hx.HTz0HjMDfuJYoX
xMZi3+rI63TDco.AGBPK8.Rc6gNcwEnGDOzPJlr7ZjeLHjadA49eOAZHkWBu
JjdnHi9uvYTb+jFeYPiF59lCCpfmUJ4BcqIfFayFSUgP2arv3spq0kl+OjkV
zq1n4boPKKefopZGsECioruIsZVxBaStv0z5yKPwdf2MdqUo.px33RaraUqr
qqfGic+qAAEMV1D071rNC6LPZM7IL95qJoNhX8EN+2y+Cep3dw.
-----------end_max5_patcher-----------

PFFT:

----------begin_max5_patcher----------
454.3ocyU11SCBCDG+0vmBReoAWn7n5WEiwTY0YMrVRonXV19ra60MctsrUB
MK9FJ2w09+9cW35pv.zKhAZGJ5gnGiBBVEFD.tLNB1ZGfVRFpaHcPXHN8SwK
uihseRQGTf6VQiRTSja18Ed+RFugpfckt0YKQU+Fiu3YIsVYUMMCOKINJsrx
rTl.FoyRhd52CRzqN7jrtTe0RsGCpisfSZPw+71OG.aNjg5r91Jjw05vPyi3
oQ7MiG0zLftDKj2Oq3rnhu.pmBvROBntapD59534rLyfFNq3JzRK9OPLt59q
Gw4dj3WeUoShMQ3w+aK.YFN2rTjeAhSNFiL+hAiuIJ8jTfOCEU.EUPaKu5BP
j4ba67MvT+SNdrjiuqDHGeUIGuO4P.nFF+vKffz03+ukiNQurdmv1o4wQ+lw
yoc5RAQwD78hIyFyIK3iQGrC5fmnNkNvSkG3ovAdp7.OENvSoGzI2QclZcK0
AcJ7jNXGzYp0MrC7j6AdvNvS9Q7XGOPZa+fJ61FLHgdt36Bow7tXvjwslvkL
HI8C1t3gAfHhTO8SoG80KgzBMTliraULmJ48LH1PCbZIgYtbxRZWKwxALZNb
c32.XlllDB
-----------end_max5_patcher-----------

For this assignment, I created a patch which takes in an arbitrary sound file and uses it to convolve a video source. In my case, I used my web cam as the video source. The video is convolved at the color level, with the first bin of the sound fft being the first item in the red matrix, then the second is green, then blue, and then it repeats until there is a 5×5 matrix for each color of the video to be convolved with. The video is rendered at about 14 fps to keep the render from lagging, although this can probably be increased. The scale for the fft can also be increased. Each bin is normalized to cap at 1, but the scale multiplies this by some arbitrary factor. I’ve found that three works best in my dorm.

Video of patch in use: https://youtu.be/ySZOQbweElg

Top level patch: https://gist.github.com/TheDreadedAndy/81a7b759f354c176c8ff729a377cd441

fft patch: https://gist.github.com/TheDreadedAndy/7152747cdf6ef599fcdbdcd3f06cc878

I found the mesh distortion technique pretty interesting but I was overall unsatisfied with how… messy it looked. I wanted something a little more coherent so I tried something a little different: distorting several copies of the same object. I chose to use “discs” (really flat cylinders) stacked on top of each other. I scaled them evenly in two directions so they’d stay circular but kept their flatness the same.

Here is a video: (I added the audio separately from the video, so it might not be perfectly in sync) ((also oops I used copyrighted music, hopefully this stays on YouTube))

I will admit I would have liked to figure out a way to make the discs themselves look nicer but we can just enjoy some Moiré patterns instead 🙂

Here is my parent patch:

Here is my child patch:

For this assignment I wanted to mess around with more music and how I could change the output of the song. I took the song Distant Past from my favorite band, Everything Everything to use for the project.

First, I took the music video for the song Distant Past, and connected it to two submatrix windows which turned the footage from the music video into the fragmented lines of footage that you see on the patch below:

I then made a multislider which connected to the audio of the song. The multislider showed the movement of the video on the graph, so I used it to change the frequencies by EQ’ing it while both the video and the song played at the same time. I also added another window so you can watch the music video at the same time.

Also here is the picture of the subpatch in the pfft:

Basically all that’s left is a recording of the audio and video that I took on the patch, I hope you enjoy it!

Max Code:

<pre><code> ———-begin_max5_patcher———- 1708.3ocyYszjiZCD9rmeETbJoJOdPhG1Nm1jZNji4RNkJkKYP1i1UfXkDdl Y2Z2e6QuvFrAOXalM6ACF8p69q+5Vpgud2D+0rWvBeuey6e7lL4q2MYhoIcC SbOOwOG8RJEILCyOGKDnsX+o19j3Wjl1ERVYciEU4rJIEKMSA3Z01j70RrUd 99d+qqqRjL8IRw1Ubbpz1KbwrfodfnH8sPf9JDNKX+TTxfTTKBnqQRlQWXq+ 38K70M8s6tSeY5MZbOyIR7XZcwFCBL2XjgQWr0EeMVWA9Y0bOw39HQNaWJua yC1m4ol0pbjjSdwe5aYrPi8k.lEO0KJ37Fa3oFK3ZLVJYGd1VDo360F1NDu. ki6o2RDW0oDyWgKPqo3l911PRrqUwSrmqWvf9fIAYaAhpgnC+S+aCkgj5+PI B4AzSo9J3CUTfoorpBYq0lSvERjjvJZpbc.3f.nkdYvZP3RCKK4B3Wf3ZbQf 1gyVgjJO85JI9v+DNv2g9Z7kVgYapatt8lPKofHIJPvnk2Oeu9zZPJbkK62S 0Zr0HcPG8UoDlP9p0UF0w.xUXftu6M3zo8SYEaGnd3LrS4NGIPjgxp7D1NMb 55aWHAG+kLT5A5KGKpYGMXBgfXa9Sysn8W2SDVuMkQYb6nMzkCW.sILMBAB5 PpM4jTVp0K+1jTXxxdTs2jiBFwjfka1H+t2lxUp6ZUKxCdg46cw2mKQXcbYX n4lC.tj79fnqwl0Y3KelTjwd9Byx+l41saSGBRL2VZ7kv4f9LIPGlT3UsScE URDTRFletL3Air4FE4XqVO3hXq+Lpg8JHewrbv3jgh.vQd2bQIgR89fGEWrU 9j5vFP+2GbHzd.Ff082OStCiNLXjMZ6gQ7.dlsVCgZy1C79cplZHHzsI6kCA vk+jELGCWpOhl6jZKLFVRvkXQKFYmJe6ZHsJG8t6Fg.Sx34fK2KN+mSuHXto rhqwKlL14ipV6hN+PFI2KIJPEl9A1lMBrzKvK3c2651wEZOFzE4dAAiYgj6X z9L2qqPxPKicI7JKj7pRAIYa2RwW99t8ZhjB44sxflEJu+5fchIWcHJE8poB sNsmvAxPU+xHo5CIi3uND9paa0XSra3kD6FUqoYHI53JzRojx8urmlknMweC QcXg5Zcd3uEXt3gGQEDL82+CNtn.U7viXwmjrxGdTgGnBo2eopU06W.AKBJ8 9yG+0Y4Q61WZjcA+jJ+lMbfsif0szX.TFqrUoaJ8iUHUkSrRs9R795HanlFn trRlyxbPM3PIj1dWUaEJ2PURBLHHHDrzu0vTIgbyd5QKfhHh4ktpgZ0CpRxT 5EW1kb01RISMYwpbG.qKhp0XJYBRccRlRsZ0qjjiOL2SV7FRtcmYbzyR1wYJ 1OONtj08Ds.4JcloJNtqQnxU0Uybmu4eZVe3dAhsd7imjfmdfjqglomh8GHI cYMUBb6EoUuazof52XUmClTTutnca76y6Ivoh10BehWpq0238ZM2dDPObCTF prShky8zhTCh.FR871VgoN9CAF9H0YmNBBKHetpS8OSHeS2ixAzdXmDdnx3Q R22Ycet2wg9OtFupW2Qcl3u6e1WJ2fdAbseUbCL0rqb8qO0L78O0L39.nWy7 yyxKC6KoLpJivFkjxMXcqQBMGnUrohVhJjcmyfwIpPSD0VpZiPOULU5mDsWI Ash2HDrmkRhyKcYDAviGjQ+jpHghs063dTZZEOqy7ksTz7dhzEkXbV2VZIQQ oRYbMi5v1.GgTTJ64sT15VVQ6A84JDkHese71HHwSjM8.4ZDTGHqFU2Jgwc0 glNvHZyp4SUIbO5CKYBpntDwGByErJdZM+w9oaZjezOSorJf+fl39l.SqUoS RjLT4D+CRNfvAJH3sJnngaQ6+nB52flt1faRxKGffaqb4jrlaIFppSUWzp8v 8Qfkm9Txb6qdaQ8C2HZkby5LXtSUhapWwmBtAu6JJbvJJ..5WQA2jhNH5W34 zTGJBs5X378O7+hpFzcnxs4MCCFhngiPdG3PhJqUmaSRyGBEcY2vI3GfnWLD RWz7YP08X62K093X68gCw4GMFa5Lnc2.ikj.CQRfeH6uE+dPyFtnA8QybIdA I1O6W3gmFaRFXvrLvaDSj.renqjSd..seKykQ6e5V8tCIw3Qg6ik2cPhNY.I Q.Ilir3xgXd57dW6okQkk6T004DnQOUk+9Q6GlewTyijB6ilZy743cj5waaA wUkrJUmY289b7eIw91.M0mwKpHNfRgP2oq3TUZsttRQIxBFlJvu6a28e.UeP rZ. ———–end_max5_patcher———– </code></pre>

Sub Patch:

<pre><code> ———-begin_max5_patcher———- 708.3oc2WtrabBCEFdMySAhkUzHegqce6ptoqqpF4YFShSACBaRm1nLO60bL jlKjIPvUUpa3xwF+y4ym4+vb6Fufc0G4p.+O3+UeOua234Ag5C3MbuWPE639 RlBlVfj+i5cWGDZGRyOpgvk0rCUbkxWI9EWHUrpFkeLlLNwhZoten9IioWfF BK6pp6zkbMr33gn1P5e1vsuYAA9e6AqijUACD7YltdTfFld+UB4kaa4601Gi F2KjONCCmRx5OQht.c+pYjWHep5hCvhaxx2ioA8wtayl9CgqCQBo++Xb.bfZ ORVLLxGWaE6F9gslPlkdKSqaE65z1pHu6QhWP+Ha2WWUwkV..rzBSGgzccEE 71S9e7KepSdZb380k0s1bFcAJiXpCBMWEQwzT6UXbZRroj3AY+r1QHuzNRgo 9WGDZdiXxKWU0JAkCUqnnEuAQbY0ZCm+8yBVRJJNqGtjbCOyBgPQwn7LDMmf iSxmLzhYN97LeM+T.SRsrFedVSmf0XGx5RgRWzIk7R23OzudqBL4vwD5xKAQ NDKEEZSpcxGuHpfdCoMFA0A4PGhjWwZj77zN1gY86N4lh.k3RIq7sUFXpB5s GwfUDktXdD8eFOFpOdy7vseFwA9wy5LGgySPoYP+NRbLzwazmNMIJEkLYH24 LuFTmCzMMYVMAm.0D2Z.IjK0+g9JTIbhqVSQ4vwk+8bOpCF7TlFGxm9uA.g6 i+X7op6Z2OlYCecn+ez9.WYPGSKpkOXNltCvjlbGZtBEMCghMyAuRcnyTm0l OiP47jC6BklgPQVxMVC2dfC1Jn+5BSmVX7pDFOmMQB0ArE+nW+WlstPm4fRW nC40.2yzw5hvZZtg2pFlLHgwt8ZaCprP3VgzdK3gFzxuQLNeaDVqwtSa755Z slgGShBrOZsozP1IFpNLImQRvJu23T0vr4A33u4tM+FHqZ9C ———–end_max5_patcher———– </code></pre>

For this homework, I wanted to explore the possibility of scaling each independent frequency in a pfft instance independently, and I wanted to incorporate camera grabbing– I found our example of using the mean “difference” in camera objects to be an interesting thing to use. To do this, I created a subpatcher that takes in:

-a frequency bin

-a “width” that each randomly generated scale should not deviate from.

-a “random number generator speed” to indicate how often this recalculation should be performed.

My top level patcher looks like this:

As you can see, the “width” can be generated from the jitter objects, in addition to by with a dial. I got these from the Google Drive.

The end result of this patch was quite interesting. Its effect is most audible when humming a single pitch, and hearing it be scaled randomly. When using the patch, you may notice that certain frequencies will randomly be omitted or amplified.

Something I didn’t expect was that there wouldn’t be points where we hear pops because of the difference in scales between two points– I assumed I would need a line~ object. But we learned today in class that pfft accounts for this, so I actually didn’t need to do that.

Here is my patch for anyone interested!

Drawing inspiration from the in-class examples, I created a dual bandpass pfft~ resulting in outputting high, mid, and low frequencies. Then getting the amplitude of from each of those outputs, I altered the amplitude of the red, green, and blue of live captured video. In the patch you can change the crossover frequencies – as I showed in the video recording below. In Presentation View, there are three spectroscope~ objects, and when you change the crossover frequencies, it changes the bounds of the view. The video includes Babylon Sisters by Steely Dan, an  ATSC Recording Sample, and Centipede by Knife Party.

For this assignment, I took a portion of Queen’s “Under Pressure” and convolved it with 4 different IR.

Here they are:

1. Popping a balloon above water, and recording it with a Zoom recorder underwater.

1. Popping a balloon in the racquetball courts.

1. The sound of bacon frying.

1. The sound of horses galloping.

I then created a patch where as the song plays, the signal first is by itself, then is convolved with each of the four IR’s, then multiconvolved with 2 IR’s, and finally with all 4 at once.

Here’s a video of the patch:

and here’s the code:

<pre><code> ———-begin_max5_patcher———- 5747.3oc6ct0aiiik.94T+JLL1mVjJMuJRMXdX2GWfcvBLuMnPiBJ1JIpaaI 2xxUppaL0u8khjRVxwRh1QxVV4zEZGacijGcN7xg76v+5S2M+wjuGtc9r+1r uL6t69qOc2c5Ckef6r+9t4qC99hUAa0W170ga2F7b376MmKK76Y5iuML72mw X9HTwoh2sNJdUXl99H6OXxtrhihsGcSP1hWhhe9qogKxL4FOJ6Az8yHb+7+H n5ePd.M6Ws2SzRc5l73u8YLFWjnlGd1O1DZdLymWdCay9wJ8QmOO+.+6O8o7 Ot2wx8i6xxRhOZYCe5kMxCbUwAoKaDVwmGsrg7arr8XP7y8U4KN7UUx8lWqa lErZ0ITpQcVpoXTd4k19aTjX9aKVUe1go1Biszb27mhVE9svzsQpWS6ye2MO XylJG9tJ2RtH32RzOHw8kGJJ1bHZ4gRC+VTw8yKOZPppDloJd6RM4uuK8lu+ wjrLLMdWjNqXNn5kwmJdfEBEiVtxrI+OXlumVaW3sWrndw87pjE+d3xJxWkx vlv3n3MogaCiyBxr4txSuL7ofcqx95SIwYai9ScFDqD1G67OErHrwaNNXsoz 8emFETnIb27mSiVlDmmIpIqyObQx8kYXttTwqVXzWQbvlibypW7J4RCmbqpP ta6iAo4uJdznQPJNYVRxp5mp79VE9Tl8zahhiOPJlkro4SlF87KsbuOlnN45 1d15yr8q6hMm8qJisrutM3a0k1YJKLq0W8G+2ChiVGjElEYdEPPkmLLNPUPe Y6hzDk4Y0xq4Le6HmYoRKdQ3qQKydQmPUUFTWdzlBkn4kukWF8b31r5GKK34 s0OxarPUGZ2iVqzulEtdyJUon9ETqcmpljUqmp1wOn9JcEQklaGV4Dp9Ida0 xMUIE1pypsConhOK0eOndJJoZVn4FeZPNkezEIqWqLgeywihWF98J0dXqQ2V QxYJ0VE8svGVllroZJ8sfzRq7xK3Kzes50rLbgpBs7J0NTHdrFENhbmzgbm3 KMs2iM0DpE8dsH522nu8YlpJCYJENiEvg4l29t49279QYYt7qAYYoQpV6C2+ ssUjrUDs4RtU6BSdp5oqd9p4pUIwOeDoLlTULW6N19RRZVWuXpcGEkNVCmOJ tZMj6ulREqpe8xpsQtrZaHOSmtHtqsgl.ZamtxF4lQYq9.Sp2K1EqBCRarwB xY2XAwWqFgE5FMnhC6Raycl+Dau3FWNYM2NA4j3pKmNgJuvWzJuj9DsvjRbs tKDeJzRI5Tq7Bp4pYcHIZuaUbwdjcCYOdIMFEHyH2MCXvIiQxTvXjAFi8lwn .Y75CxUiQzU2Xrl2BqKjdb2SOEl9yY+O+yO+O8BTs8WO6tJJVYRtyLfWR+2y dJxzGClVl5apfi2rzzu8dZ7zpjfrbatZ9Z8pKY+eOhjsuFZj0qGLyPivcpO5 6MtjfENT4XhvejrKc1Vk52xsydILM7Ljen1keTkYL0W8erbgmoaubsDkzZqB yupxk+9eeFMc4LU0tY+XlwOrydJMY8rWxx1729ke40We8grWBeIZ61GRRe9W 5SK5NDnVGCQQjJxx7YOnIYo27qoQ5xvUA+XFuESyyuSald7y70VldztLLo7V MLGA0nsc11vLu92HzJo3Di.qSIEw+ppyj1tX3rclc9DLJUsRfnJCGeux5kLU s2p.gNl6hw+4Oym8Bd+agQ7XOHxmiRluwRqS4DtU4z1HUmmWMUkV14JwcgEZ jHrB+ykAK94YHPPcKPTZOLltEKtWwmMJP3yuLCa94fn3e153l0WwANxxQgB2 MsDouYh07M+pEoh26Z.xV0n6q9s7+urenqhxmRypIdRZT0IQu5iWMZ1WKjT0 d6WYh2qTX0cNY+GUWTGWiwpadqJNkwpenpxQGrNpgyuVovje9OK1O6xu8ZBz 5sdMdEQwQY4q0fBIZUIXsKbm5BKsZXWWeCnZAeFV8O8fytel4mDynfM+jVb1 .yuYEmNX.ZHqRK+DJtrkeJo69BwtY7tv.MDXomtlaFw3SObmhLL+1zGBCj7S nFiFuh7qydahY2Lxu06VkEsHI9aIq9V3OU1vrY+YXZRiBQViBQlaMaZG1a2t EjO+TaU7Me6BHZ2nFc7is3D0y2uUF4kmVYiZT8H9sL334c4k8n3rq8vieJWb 8SU6F+WA6VFkjuBGm8G6BCieX8F5YzpgaxvB2VIIc1Vgi5bsY3ZWrgyeSujL tgxgtH8Xv1nEYpNCjmHJCKV0NVL+ojUqRd84UIOFrJesnkbXGXTWQ55f3rEI o4hhCVIkkKlSS0m4IU0dGk22wmiTEyUgwOaVXceYFGSnzG3HpOR01+bUEF+9 1ZE+82VYNBm6dv7+SV8x1DodI0RF6O1ErJJ6GMj2xW3fayRCUOCamol8qs2y n8qSybu50vBzSq4je9iqcuMYW5hBc.qVxr5pPKUYKUounH8kxZvplCa015Ty CTGyCjgLOPFAYh7Ag6VlvaHyE3SIWfGpbg8g2ctfOz4Bjq4hA6MBaDXkxcUR fF3LgSJE3ALSj2kXmxEzg78AlOFxETmUK7GRCDmaBgMjuQP9NlMzqO5ALeHb NeLjFqkO8NyG9dCZ1v0Fz7EC5aEWkF5kgz.lOXNmOFz5uPt1kK7vZz5ZMX3g TZ36MFpMWa.3bt33c5Z+vTziirgwoT5X60+vLbyxjrbPmGMKmO96EIqRzK9r vzsgG0293CFV7iOquG6HoMWVtWWErhu4iO1coFT+px67XCusXD0yeNMXYT8U vQN9PkIJ5AhOB66kmdTjuDwLeScn2lx16DWbqRtpok7qWxHDl4aTDhQZ5NIU Jo09n90pF4uEVuClSf4aRS1jjVNr1Gn90tucYIkE37yWYfqUjeUQTTo27ORh CVnFOcEkl6qnolpdXGiBKia8plLGSSuTex3xl+UXtiE9L1U0pfEKBiyp89RR 3XQtnVHwRrVwh6yY72pmTkiyunI4j6iPxAtf9ZNfqyVmDmrcSNjnCpATMICV Jkj7KjHkXqhLGSo3NL7TVZRhOips4DRNWX9FgfIiVqOWqsntkmR8ASEHsZij H7n5aUoHoD.iGCw6a2.v4ZclGtJb8g2tPh7wlhMBQvRyShh8j16+8acXeFEO ft7M4ecNH0ZbNoEX1Riu13qcODteZeSi8Ew+ujnLY2NKMXwerKL6wSK..zRX Of4YV6dX6Rl2u8H..8zi6ASv.DfI9WnpBTO6FF9BXRDDe.f3C.De.ZYZ0LUZ L.quayZJkHXtEg.jyGWQ.fqAeKFLyvHri.tP+HBIKyfjGF4JFPX.Q1FWAODs 3CaBsRNPkmXBvjm3jg6GOAijDWR0LNgeZpYSgHVhbpR9YKKDGU2nU82b4L0e VUyOHNqIgcpBKho+D9cV4+0eMZdkorCw2SYmAxSfxt2Ekcl3wGUh+nSYmvSa 8wM3XOYnri2+FgVIkG5FhxN9.Dx3XrGDpphjx7gExAJ65Tf46qoriQj.kccJ sLUE6trZpCYmAt.toCS.icU0Q7j.hcWGD67.D6trH1wqiX2PzJUkl0ymxpxg avESGD53CEBcFe8xQ7oMBcCk7ySpIIuT9MkPnavclBGeZNSweLasd.vgD0+Z E3vyF9K6P9sN.n24M7VlsPNph+cA1BeOxPqu5.zB+vgV38iq.8ucHSH2lE+C hZmWt.8+fAjoKq.a4jGpmwAfSrw.c.iChy7GC7ZLRP8x0bwfRTjqbMMjvl4J pYC5aCW46ZH0KAP5AF1AF1G2jaOJXXeTPyu6zW1bkESW7KZeizD4iP841oIi a1vi7rKxzNXu.cSseZxrq8.W1OMKi26WosSyGCVjDOamZLeouFjEl1OR.JlU Dsv3GMnsWSDvAxZzzmXVgOX6pS2LWxdDIvVCvVCvVy0fsFgA1MSnB1AuxIFY v0LTaJoHCNCBGEKd2VaJoWi8+JprnERfHoFcQNS2FBAC.I0S6YeFA5GDdjv. 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Thanks! It was pretty fun and funky to make this.