166 lines
3.8 KiB
Python
166 lines
3.8 KiB
Python
#!/usr/bin/python
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import subprocess
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import os.path
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from renderlib import *
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# URL to Schedule-XML
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scheduleUrl = 'https://raw.githubusercontent.com/pydataberlin/pydataberlin.github.io/master/utils/pydata_berlin_voc.xml'
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# For (really) too long titles
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titlemap = {
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69233462: 'pyData Berlin 2015: keynote'
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}
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def introFrames(parameters):
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frames = int(.5*fps)
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for i in range(0, frames):
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yield (
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('name', 'style', 'fill-opacity', 0),
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('title', 'style', 'fill-opacity', 0),
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)
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frames = 1*fps
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for i in range(0, frames):
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yield (
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('name', 'style', 'fill-opacity', '%.4f' % easeInCubic(i, 0, 1, 3*fps)),
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('title', 'style', 'fill-opacity', 0),
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)
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frames = 2*fps
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for i in range(0, frames):
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yield (
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('name', 'style', 'fill-opacity', '%.4f' % easeInCubic(i+1*fps, 0, 1, 3*fps)),
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('title', 'style', 'fill-opacity', '%.4f' % easeInCubic(i, 0, 1, 3*fps)),
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)
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frames = 1*fps
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for i in range(0, frames):
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yield (
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('name', 'style', 'fill-opacity', 1),
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('title', 'style', 'fill-opacity', '%.4f' % easeInCubic(i+2*fps, 0, 1, 3*fps)),
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)
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frames = 3*fps
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for i in range(0, frames):
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yield (
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('name', 'style', 'fill-opacity', 1),
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('title', 'style', 'fill-opacity', 1),
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)
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frames = 2*fps
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for i in range(0, frames):
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yield (
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('name', 'style', 'fill-opacity', easeLinear(i, 1, -1, frames)),
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('title', 'style', 'fill-opacity', easeLinear(i, 1, -1, frames)),
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)
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def outroFrames(parameters):
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frames = 1*fps
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for i in range(0, frames):
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yield (
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('plate', 'style', 'opacity', '%.4f' % easeInCubic(i, 0, 1, 3*fps)),
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('text', 'style', 'opacity', 0),
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)
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frames = 2*fps
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for i in range(0, frames):
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yield (
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('plate', 'style', 'opacity', '%.4f' % easeInCubic(i+1*fps, 0, 1, 3*fps)),
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('text', 'style', 'opacity', '%.4f' % easeInCubic(i, 0, 1, 3*fps)),
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)
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frames = 1*fps
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for i in range(0, frames):
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yield (
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('plate', 'style', 'opacity', 1),
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('text', 'style', 'opacity', '%.4f' % easeInCubic(i+2*fps, 0, 1, 3*fps)),
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)
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frames = 3*fps
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for i in range(0, frames):
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yield (
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('plate', 'style', 'opacity', 1),
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('text', 'style', 'opacity', 1),
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)
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frames = 2*fps
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for i in range(0, frames):
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yield (
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('plate', 'style', 'opacity', easeLinear(i, 1, -1, frames)),
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('text', 'style', 'opacity', easeLinear(i, 1, -1, frames)),
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)
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def pauseFrames(parameters):
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frames = 10*fps
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for i in range(0, frames):
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yield (
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('pause1', 'attr', 'x', '%.4f' % easeLinear(i, -268, 1295, frames)),
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('pause1', 'style', 'opacity', 1),
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('pause2', 'style', 'opacity', 0),
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)
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frames = 10*fps
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for i in range(0, frames):
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yield (
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('pause2', 'attr', 'x', '%.4f' % easeLinear(i, -268, 1295, frames)),
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('pause2', 'style', 'opacity', 1),
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('pause1', 'style', 'opacity', 0),
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)
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def debug():
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render(
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'pause.svg',
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'../pause.dv',
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pauseFrames
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)
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render(
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'outro.svg',
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'../outro.dv',
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outroFrames
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)
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render(
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'intro.svg',
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'../intro.dv',
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introFrames,
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{
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'$id': 20227,
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'$title': "Driving Moore's Law with Python-Powered Machine Learning: An Insider's Perspective",
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'$subtitle': '',
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'$personnames': 'Felix Marczinowski, Philipp Mack, Sönke Niekamp'
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}
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)
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def tasks(queue, parameters):
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# iterate over all events extracted from the schedule xml-export
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for event in events(scheduleUrl):
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# generate a task description and put it into the queue
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queue.put(Rendertask(
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infile = 'intro.svg',
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outfile = str(event['id'])+".dv",
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sequence = introFrames,
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parameters = {
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'$id': event['id'],
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'$title': event['title'],
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'$subtitle': event['subtitle'],
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'$personnames': event['personnames']
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}
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))
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# generate a task description and put it into the queue
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queue.put(Rendertask(
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infile = 'outro.svg',
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outfile = 'outro.dv',
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sequence = outroFrames
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))
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# generate a task description and put it into the queue
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queue.put(Rendertask(
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infile = 'pause.svg',
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outfile = 'pause.dv',
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sequence = pauseFrames
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))
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