data-workers-publication/poster/data-workers-posters.py

import random
import functions

# Data Workers
# http://www.algolit.net/index.php/Data_Workers

# ---
# My summary of the exhibition:
# 
# exhibition, audio tour, introductions to machine learning processes
# machine learning, learning with machines, learning about machines, machines learning about others
# a learning situation (teaching/introducing others) after learning situations (studying/understanding together)
# ---
# Learning, understanding, co-operating, collaborating, reading ...
# ... with, through, via ...
# ... algorithms, models, stories.
# ---


subjects = ['humans', 'machines', 'machine learning scripts', 'languages', 'writers', 'readers', 'learners', 'collaborators']
actions = ['learn', 'read', 'write']
conditionals = ['while', 'if', 'or', 'as']
relations = ['as', 'with', 'in']
timing = ['']

# ---
# "can we challenge this classification somehow? for example by looking at the ambiguous elements: predicters can be writers too"
# ---
# Complexifiers as words that complexify objects/subjects.
# Adding a dimension.
# Suggesting a relation to another object/subject.
# Maybe the one object is not so different to the other?
# ---
complexifiers = ['computers', 'readers', 'writers', 'processors', 'learners', 'readers', 'writers', 'programmers']

# ---
# Calculated randomness as the current selector algorithm ... 
# ---
def get_random_from_list(list):
	list_length = len(list)
	random_num = random.randint(0, list_length) - 1 # Because len() always starts at 1
	random_item = list[random_num]
	return random_item
# ---
# Another algologic is possible ... 
# ---

def draft1():
	for i, subject in enumerate(subjects):
		if i + 1 < len(subjects):
			print('---------')
			print(conditionals[i % len(conditionals)], 
				subject, 
				'({})'.format(complexifiers[i % len(complexifiers)]),
				actions[i % len(actions)],
				'...')
	print('---------')

# draft1()

# ---------
# while humans (computers) learn ...
# ---------
# if machines (readers) read ...
# ---------
# or machine learning scripts (writers) write ...
# ---------
# as languages (processors) learn ...
# ---------
# while writers (learners) read ...
# ---------
# if readers (readers) write ...
# ---------
# or learners (writers) learn ...
# ---------


def draft2():
	for subject in subjects:
		print(
			get_random_from_list(conditionals),
			subject,
			'({})'.format(get_random_from_list(complexifiers)),
			get_random_from_list(actions),
			get_random_from_list(subjects), 
			'...'
			)

draft2()

# if humans (writers) write machine learning scripts
# as machines (writers) write machines
# as machine learning scripts (writers) read readers
# or languages (readers) read machine learning scripts
# if writers (programmers) write humans
# or readers (computers) write machines
# if learners (readers) write learners
# as collaborators (writers) write writers

# ---
# Selection of words from the Data Worker pads
# What words are used to describe the exhibition, the projects, the intentions, the story?
# ---
padadj = ['voice', 'model', 'human', 'visionary', 'algorithmic', 'programming', 'editing', 'assisting']
padsubjects = ['voices', 'models', 'humans', 'visionaries', 'algorithmic writers', 'programmers', 'editors', 'authors', 'assistants']
padverbs = ['understanding', 'extracting', 'using', 'manipulating', 'plotting', 'writing']
specifics = ['with intent']

def draft3():
	for subject in padadj:
		print(subject)
		print(get_random_from_list(subjects))
		print('---')
	
# draft3()

# voice
# humans
# ---
# model
# collaborators
# ---
# human
# learners
# ---
# visionary
# machines
# ---
# algorithmic
# readers
# ---
# programming
# machine learning scripts
# ---
# editing
# collaborators
# ---
# assisting
# machine learning scripts
# ---


def draft4():
	for verb in padverbs:
		print(verb)
		print(get_random_from_list(subjects))
		print('(as {})'.format(get_random_from_list(padsubjects)))
		print('---')

# draft4()

# understanding
# collaborators
# (as editors)
# ---
# extracting
# machine learning scripts
# (as models)
# ---
# using
# machines
# (as visionaries)
# ---
# manipulating
# collaborators
# (as voices)
# ---
# plotting
# machine learning scripts
# (as humans)
# ---
# writing
# machines
# (as models)



# ---
# Using frames (sentences) to play with the subject words.
# Nice how the sentences are already dynamic in itself, 
# it makes the game of exchanging words more interesting.
# 
# But as a visual language it's perhaps a bit too much, 
# too subtle for something like a poster.
# 
#   clarity <-------------------> interesting wordplays
# generated <-------------------> written
# 
# ---

# From: Course in General Linguistics - Ferdinand de Saussure
frame = 'First something called "grammar" was studied. This study, initiated by the Greeks and continued mainly by the French, was based on logic.'

def draft5():
	for i in range(5):
		frame = frame.replace('grammar', get_random_from_list(subjects))
		frame = frame.replace('Greeks', get_random_from_list(subjects))
		frame = frame.replace('French', get_random_from_list(subjects))
		print(frame)
		print('---')

# draft5()

# First something called "languages" was studied. This study, initiated by the readers and continued mainly by the collaborators, was based on logic.
# ---
# First something called "writers" was studied. This study, initiated by the collaborators and continued mainly by the humans, was based on logic.
# ---
# First something called "machine learning scripts" was studied. This study, initiated by the collaborators and continued mainly by the humans, was based on logic.
# ---
# First something called "readers" was studied. This study, initiated by the machine learning scripts and continued mainly by the collaborators, was based on logic.
# ---
# First something called "collaborators" was studied. This study, initiated by the machine learning scripts and continued mainly by the learners, was based on logic.
# ---

def draft2html():
	tmp = ''
	for subject in subjects:
		print(
			get_random_from_list(conditionals),
			subject,
			'({})'.format(get_random_from_list(complexifiers)),
			get_random_from_list(actions),
			get_random_from_list(subjects), 
			'...'
			)
		row = '''
				<tr>
					<td>{}</td>
					<td>{}<sup>({})</sup></td>
					<td>{}</td>
					<td>{}</td>
					<td>{}</td>
				</tr>
		'''.format(
				get_random_from_list(conditionals),
				subject,
				get_random_from_list(complexifiers),
				get_random_from_list(actions),
				get_random_from_list(subjects), 
				'...'
			)
		tmp += row
	html = '''
		<h1>Data Workers</h1>
		<br>
		<br>
		<table>
			{}
			<tfoot>
				<tr>
					<td></td>
					<td>Algolit</td>
					<td></td>
					<td>
						oracles<br><br>
						writers<br><br>
						cleaners<br><br>
						informants<br><br>
						readers<br><br>
						learners<br><br>
					</td>
					<td></td>
				</tr>
			</tfoot>
		</table>
		<small>The exhibition is open from the 28th of March untill the 28th of April, between 10:00h and 18:00h.</small>
		<br>
		<small>www.algolit.net</small>
		<small>www.mundaneum.org</small>
	'''.format(tmp)
	functions.write_html(html, 'data-workers.html')
	
draft2html()