removing poster files, only adding the publicaiton
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import random
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import functions
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# Data Workers
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# http://www.algolit.net/index.php/Data_Workers
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# human learning machine learning human
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# humans learning machines learning humans
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subjects = ['humans', 'machines']
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actions = ['learning']
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relations = ['from', 'with']
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complexifiers = ['what could', 'when did', 'where should', 'why do'] # reffering to context
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# humans learning ()
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# learning machines
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# machines learning
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# learning humans
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# ---
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# humans learning from humans
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# humans learning from machines
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# machines learning from machines
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# machines learning from humans
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# humans learning with humans
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# humans learning with machines
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# machines learning with machines
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# machines learning with humans
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# ---
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# What could
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# humans learn from humans
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# humans learn from machines
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# machines learn from machines
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# machines learn from humans ?
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# When did
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# humans learn from humans
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# humans learn from machines
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# machines learn from machines
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# machines learn from humans ?
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# Where should
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# humans learn from humans
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# humans learn from machines
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# machines learn from machines
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# machines learn from humans ?
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# Why do
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# humans learn from humans
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# humans learn from machines
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# machines learn from machines
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# machines learn from humans ?
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# ---
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# What
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# could
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# humans learn from humans
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# humans learn with machines
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# machines learn from machines
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# machines learn with humans
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# humans learn from machines
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# machines learn with machines
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# machines learn from humans
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# humans learn with humans
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# ? ? ?
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import random
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import functions
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# Data Workers
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# http://www.algolit.net/index.php/Data_Workers
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# ---
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# My summary of the exhibition:
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#
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# exhibition, audio tour, introductions to machine learning processes
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# machine learning, learning with machines, learning about machines, machines learning about others
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# a learning situation (teaching/introducing others) after learning situations (studying/understanding together)
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# ---
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# Learning, understanding, co-operating, collaborating, reading ...
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# ... with, through, via ...
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# ... algorithms, models, stories.
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# ---
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subjects = ['humans', 'machines', 'machine learning scripts', 'languages', 'writers', 'readers', 'learners', 'collaborators']
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actions = ['learn', 'read', 'write']
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conditionals = ['while', 'if', 'or', 'as']
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relations = ['as', 'with', 'in']
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timing = ['']
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# ---
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# "can we challenge this classification somehow? for example by looking at the ambiguous elements: predicters can be writers too"
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# ---
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# Complexifiers as words that complexify objects/subjects.
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# Adding a dimension.
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# Suggesting a relation to another object/subject.
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# Maybe the one object is not so different to the other?
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# ---
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complexifiers = ['computers', 'readers', 'writers', 'processors', 'learners', 'readers', 'writers', 'programmers']
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# ---
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# Calculated randomness as the current selector algorithm ...
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# ---
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def get_random_from_list(list):
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list_length = len(list)
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random_num = random.randint(0, list_length) - 1 # Because len() always starts at 1
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random_item = list[random_num]
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return random_item
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# ---
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# Another algologic is possible ...
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# ---
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def draft1():
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for i, subject in enumerate(subjects):
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if i + 1 < len(subjects):
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print('---------')
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print(conditionals[i % len(conditionals)],
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subject,
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'({})'.format(complexifiers[i % len(complexifiers)]),
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actions[i % len(actions)],
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'...')
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print('---------')
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# draft1()
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# ---------
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# while humans (computers) learn ...
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# ---------
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# if machines (readers) read ...
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# ---------
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# or machine learning scripts (writers) write ...
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# ---------
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# as languages (processors) learn ...
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# ---------
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# while writers (learners) read ...
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# ---------
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# if readers (readers) write ...
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# ---------
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# or learners (writers) learn ...
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# ---------
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def draft2():
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for subject in subjects:
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print(
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get_random_from_list(conditionals),
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subject,
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'({})'.format(get_random_from_list(complexifiers)),
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get_random_from_list(actions),
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get_random_from_list(subjects),
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'...'
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)
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draft2()
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# if humans (writers) write machine learning scripts
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# as machines (writers) write machines
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# as machine learning scripts (writers) read readers
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# or languages (readers) read machine learning scripts
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# if writers (programmers) write humans
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# or readers (computers) write machines
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# if learners (readers) write learners
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# as collaborators (writers) write writers
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# ---
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# Selection of words from the Data Worker pads
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# What words are used to describe the exhibition, the projects, the intentions, the story?
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# ---
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padadj = ['voice', 'model', 'human', 'visionary', 'algorithmic', 'programming', 'editing', 'assisting']
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padsubjects = ['voices', 'models', 'humans', 'visionaries', 'algorithmic writers', 'programmers', 'editors', 'authors', 'assistants']
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padverbs = ['understanding', 'extracting', 'using', 'manipulating', 'plotting', 'writing']
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specifics = ['with intent']
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def draft3():
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for subject in padadj:
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print(subject)
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print(get_random_from_list(subjects))
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print('---')
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# draft3()
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# voice
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# humans
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# ---
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# model
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# collaborators
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# ---
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# human
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# learners
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# ---
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# visionary
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# machines
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# ---
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# algorithmic
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# readers
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# ---
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# programming
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# machine learning scripts
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# ---
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# editing
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# collaborators
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# ---
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# assisting
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# machine learning scripts
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# ---
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def draft4():
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for verb in padverbs:
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print(verb)
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print(get_random_from_list(subjects))
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print('(as {})'.format(get_random_from_list(padsubjects)))
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print('---')
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# draft4()
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# understanding
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# collaborators
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# (as editors)
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# ---
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# extracting
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# machine learning scripts
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# (as models)
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# ---
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# using
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# machines
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# (as visionaries)
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# ---
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# manipulating
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# collaborators
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# (as voices)
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# ---
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# plotting
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# machine learning scripts
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# (as humans)
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# ---
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# writing
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# machines
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# (as models)
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# ---
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# Using frames (sentences) to play with the subject words.
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# Nice how the sentences are already dynamic in itself,
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# it makes the game of exchanging words more interesting.
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#
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# But as a visual language it's perhaps a bit too much,
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# too subtle for something like a poster.
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#
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# clarity <-------------------> interesting wordplays
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# generated <-------------------> written
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#
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# ---
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# From: Course in General Linguistics - Ferdinand de Saussure
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frame = 'First something called "grammar" was studied. This study, initiated by the Greeks and continued mainly by the French, was based on logic.'
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def draft5():
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for i in range(5):
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frame = frame.replace('grammar', get_random_from_list(subjects))
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frame = frame.replace('Greeks', get_random_from_list(subjects))
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frame = frame.replace('French', get_random_from_list(subjects))
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print(frame)
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print('---')
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# draft5()
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# First something called "languages" was studied. This study, initiated by the readers and continued mainly by the collaborators, was based on logic.
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# ---
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# First something called "writers" was studied. This study, initiated by the collaborators and continued mainly by the humans, was based on logic.
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# ---
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# First something called "machine learning scripts" was studied. This study, initiated by the collaborators and continued mainly by the humans, was based on logic.
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# ---
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# First something called "readers" was studied. This study, initiated by the machine learning scripts and continued mainly by the collaborators, was based on logic.
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# ---
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# First something called "collaborators" was studied. This study, initiated by the machine learning scripts and continued mainly by the learners, was based on logic.
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# ---
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def draft2html():
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tmp = ''
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for subject in subjects:
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print(
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get_random_from_list(conditionals),
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subject,
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'({})'.format(get_random_from_list(complexifiers)),
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get_random_from_list(actions),
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get_random_from_list(subjects),
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'...'
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)
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row = '''
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<tr>
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<td>{}</td>
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<td>{}<sup>({})</sup></td>
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<td>{}</td>
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<td>{}</td>
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<td>{}</td>
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</tr>
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'''.format(
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get_random_from_list(conditionals),
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subject,
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get_random_from_list(complexifiers),
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get_random_from_list(actions),
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get_random_from_list(subjects),
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'...'
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)
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tmp += row
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html = '''
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<h1>Data Workers</h1>
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<br>
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<br>
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<table>
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{}
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<tfoot>
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<tr>
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<td></td>
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<td>Algolit</td>
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<td></td>
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<td>
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oracles<br><br>
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writers<br><br>
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cleaners<br><br>
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informants<br><br>
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readers<br><br>
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learners<br><br>
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</td>
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<td></td>
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</tr>
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</tfoot>
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</table>
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<small>The exhibition is open from the 28th of March untill the 28th of April, between 10:00h and 18:00h.</small>
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<br>
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<small>www.algolit.net</small>
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<small>www.mundaneum.org</small>
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'''.format(tmp)
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functions.write_html(html, 'data-workers.html')
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draft2html()
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<!DOCTYPE HTML>
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<html>
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<head>
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<meta charset="utf-8">
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<link rel="stylesheet" href="stylesheet.css">
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<title>Data Workers</title>
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</head>
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<body>
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<div id="wrapper">
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<h1>Data Workers</h1>
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<br>
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<br>
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<table>
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<tr>
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<td>or</td>
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<td>humans<sup>(readers)</sup></td>
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<td>write</td>
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<td>writers</td>
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<td>...</td>
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</tr>
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<tr>
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<td>as</td>
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<td>machines<sup>(processors)</sup></td>
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<td>read</td>
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<td>machine learning scripts</td>
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<td>...</td>
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</tr>
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<tr>
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<td>as</td>
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<td>machine learning scripts<sup>(processors)</sup></td>
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<td>write</td>
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<td>humans</td>
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<td>...</td>
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</tr>
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<tr>
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<td>as</td>
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<td>languages<sup>(programmers)</sup></td>
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<td>read</td>
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<td>readers</td>
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<td>...</td>
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</tr>
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<tr>
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<td>or</td>
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<td>writers<sup>(programmers)</sup></td>
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<td>read</td>
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<td>collaborators</td>
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<td>...</td>
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</tr>
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<tr>
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<td>as</td>
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<td>readers<sup>(programmers)</sup></td>
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<td>read</td>
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<td>machine learning scripts</td>
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<td>...</td>
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</tr>
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<tr>
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<td>as</td>
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<td>learners<sup>(readers)</sup></td>
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<td>write</td>
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<td>collaborators</td>
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<td>...</td>
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</tr>
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<tr>
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<td>if</td>
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<td>collaborators<sup>(readers)</sup></td>
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<td>write</td>
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<td>humans</td>
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<td>...</td>
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</tr>
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<tfoot>
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<tr>
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<td></td>
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<td>Algolit</td>
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<td></td>
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<td>
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oracles<br><br>
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writers<br><br>
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cleaners<br><br>
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informants<br><br>
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readers<br><br>
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learners<br><br>
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</td>
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<td></td>
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</tr>
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</tfoot>
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</table>
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<small>The exhibition is open from the 28th of March untill the 28th of April, between 10:00h and 18:00h.</small>
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<br>
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<small>www.algolit.net</small>
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<small>www.mundaneum.org</small>
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</div>
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</body>
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</html>
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def get_template(html):
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template = '''<!DOCTYPE HTML>
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<html>
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<head>
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<meta charset="utf-8">
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<link rel="stylesheet" href="stylesheet.css">
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<title>Data Workers</title>
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</head>
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<body>
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<div id="wrapper">{}</div>
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</body>
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</html>
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'''.format(html)
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return template
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def write_html(html, filename):
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html_template = get_template(html)
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out = open(filename, 'w+')
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out.write(html_template)
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out.close()
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print('*html file written*')
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# html = ''
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# write_html(html, 'data-workers.html')
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@font-face{
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font-family: 'fantasque';
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src:url('fonts/FantasqueSansMono-Regular.ttf');
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}
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body{
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margin:10mm;
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font-family: 'fantasque';
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font-size: 12pt;
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max-width: 210mm;
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}
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h1{
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font-size: 400%;
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width: 100%;
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text-align: center;
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}
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table{
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width: 100%;
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}
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table, td{
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border:1px solid;
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}
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tfoot td{
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border:0;
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font-weight: bold;
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vertical-align: top;
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}
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td{
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padding:10px 20px 50px;
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line-height: 1.4;
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}
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small{
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display: block;
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margin-top:1em;
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}
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