@ -1,6 +1,7 @@
# plain text workflow# plain text workflow
Files for the publication & poster for Data Workers, an exhibition by Algolit at the Mundaneum in Mons from 28 March until 28 April 2019. Files for the publication & poster for Data Workers, an exhibition by Algolit at the Mundaneum in Mons from 28 March until 28 April 2019.
< http: / / www . algolit . net / index . php / Data_Workers > < http: / / www . algolit . net / index . php / Data_Workers >
@ -15,14 +16,23 @@ line width: 110 char
lines per page: 70lines per page: 70
7070
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@ -35,13 +45,18 @@ options ...
### enscript### enscript
(using postscript to create pdf)(using postscript to create pdf)
`$ enscript --word-wrap --margins=40:10:10:20 --fancy-header writers.intro.txt -o - | ps2pdf - test.pdf` `$ enscript --word-wrap --margins=40:10:10:20 --fancy-header writers.intro.txt -o - | ps2pdf - test.pdf`
`$ cat writers.intro.txt | iconv -c -f utf-8 -t ISO-8859-1 | enscript --word-wrap --margins=40:10:10:20 --fancy-header -o - | ps2pdf - test.pdf` `$ cat writers.intro.txt | iconv -c -f utf-8 -t ISO-8859-1 | enscript --word-wrap --margins=40:10:10:20 --fancy-header -o - | ps2pdf - test.pdf`
### txt2pdf### txt2pdf
(uses reportlab)(uses reportlab)
< https: / / github . com / baruchel / txt2pdf > < https: / / github . com / baruchel / txt2pdf >
`$ python3 txt2pdf/txt2pdf.py -T 1 -B 2 -L 2 -R 1 writers.intro.txt -o test.pdf` `$ python3 txt2pdf/txt2pdf.py -T 1 -B 2 -L 2 -R 1 writers.intro.txt -o test.pdf`
`$ python3 txt2pdf/txt2pdf.py -m A4 -f fonts/fantasque/TTF/FantasqueSansMono-Regular.ttf -s 10 -v 0 -T 1 -B 1 -L 1.5 -R 1.5 data-workers.txt -o test.pdf` `$ python3 txt2pdf/txt2pdf.py -m A4 -f fonts/fantasque/TTF/FantasqueSansMono-Regular.ttf -s 10 -v 0 -T 1 -B 1 -L 1.5 -R 1.5 data-workers.txt -o test.pdf`
currently using:currently using:
@ -49,8 +64,10 @@ currently using:
### PDF2txt miner### PDF2txt miner
The inverted tool of this processThe inverted tool of this process
https://www.unixuser.org/~euske/python/pdfminer/
"What's It? PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows one to obtain the exact location of text in a page, as well as other information such as fonts or lines."< https: / / www . unixuser . org / ~ euske / python / pdfminer / >
*"What's It? PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows one to obtain the exact location of text in a page, as well as other information such as fonts or lines."*
## --- hyphenation ---## --- hyphenation ---
@ -65,23 +82,32 @@ https://www.unixuser.org/~euske/python/pdfminer/
## --- commands ---## --- commands ---
Generate the publication to PDF:Generate the publication to PDF:
`$ python3 create_all.py && python3 txt2pdf/txt2pdf.py -m A4 -f fonts/unifont-11.0.03.ttf -s 9 -v 0.05 -T 1 -B 0.9 -L 1.6 -R 1.4 data-workers.en.txt -o data-workers.en.pdf` `$ python3 create_all.py && python3 txt2pdf/txt2pdf.py -m A4 -f fonts/unifont-11.0.03.ttf -s 9 -v 0.05 -T 1 -B 0.9 -L 1.6 -R 1.4 data-workers.en.txt -o data-workers.en.pdf`
Add logos.pdf on last page with PDFTKAdd logos.pdf on last page with PDFTK
`$ pdftk data-workers.en.pdf A=data-workers.en.pdf cat A52 output data-workers.en.backcover.pdf` `$ pdftk data-workers.en.pdf A=data-workers.en.pdf cat A52 output data-workers.en.backcover.pdf`
`$ pdftk data-workers.en.backcover.pdf multistamp logos.pdf output data-workers.en.logos.pdf ` `$ pdftk data-workers.en.backcover.pdf multistamp logos.pdf output data-workers.en.logos.pdf `
`$ pdftk A=data-workers.en.pdf B=data-workers.en.backcover.logos.pdf cat A1-51 B output data-workers.en.logos.pdf` `$ pdftk A=data-workers.en.pdf B=data-workers.en.backcover.logos.pdf cat A1-51 B output data-workers.en.logos.pdf`
PDFTK in one command:PDFTK in one command:
`$ pdftk data-workers.en.pdf A=data-workers.en.pdf cat A52 output data-workers.en.backcover.pdf && pdftk data-workers.en.backcover.pdf multistamp logos.pdf output data-workers.en.logos.pdf && pdftk A=data-workers.en.pdf B=data-workers.en.backcover.logos.pdf cat A1-51 B output data-workers.en.logos.pdf` `$ pdftk data-workers.en.pdf A=data-workers.en.pdf cat A52 output data-workers.en.backcover.pdf && pdftk data-workers.en.backcover.pdf multistamp logos.pdf output data-workers.en.logos.pdf && pdftk A=data-workers.en.pdf B=data-workers.en.backcover.logos.pdf cat A1-51 B output data-workers.en.logos.pdf`
## --- ASCII/UNICODE fonts ---## --- ASCII/UNICODE fonts ---
Unicode art :)Unicode art :)
< http: / / xahlee . info / comp / unicode_ascii_art . html > < http: / / xahlee . info / comp / unicode_ascii_art . html >
< http: / / qaz . wtf / u / convert . cgi ? text = This+is+pretty+fun+too.+Do+something+for+your+group+tag > < http: / / qaz . wtf / u / convert . cgi ? text = This+is+pretty+fun+too.+Do+something+for+your+group+tag >
< https: / / coolsymbol . com / cool-fancy-text-generator . html > < https: / / coolsymbol . com / cool-fancy-text-generator . html >
< http: / / www . alanwood . net / unicode / > < http: / / www . alanwood . net / unicode / >
@ -91,8 +117,10 @@ Unicode art :)
## --- DUMP ---## --- DUMP ---
[\/\]\<\?\'\)\(\[\\\"\w]`[\/\]\<\?\'\)\(\[\\\"\w]`
░
`░`
work work
@ -123,98 +151,98 @@ Unicode art :)
------
Writers write Writers write
░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ ▒▒▒▒▒▒▒▒▒▒▒▒▒▒ ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ ▒▒▒▒▒▒▒▒▒▒▒▒▒▒
Data workers ░░░░░░░░░░░░ need data to ▒▒▒▒ with. work Data workers ░░░░░░░░░░░░ need data to ▒▒▒▒ with. work
The data that is used in the context The data that is used in the context
of Algolit, is written language. of Algolit, is written language.
Machine learning relies on many types Machine learning relies on many types
Many authors of writing. ░░░░░░░░░░░░ ▒▒▒▒▒ in the write Many authors of writing. ░░░░░░░░░░░░ ▒▒▒▒▒ in the write
form of publications, like books or form of publications, like books or
articles. These are part of organised articles. These are part of organised
archives and are sometimes digitized. archives and are sometimes digitized.
But there are other kinds of writing But there are other kinds of writing
every human too. We could say that ░░░░░░░░░░░░ every human too. We could say that ░░░░░░░░░░░░
being who has access to the internet ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ being who has access to the internet ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
is a writer each time they ▒▒▒▒▒▒▒▒▒ interact is a writer each time they ▒▒▒▒▒▒▒▒▒ interact
with algorithms. with algorithms.
We ░░ ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒. chat, write, We ░░ ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒. chat, write,
click, like click, like
and share and share
we In return for free services, ░░ ▒▒▒▒▒ leave we In return for free services, ░░ ▒▒▒▒▒ leave
▒▒▒▒▒▒▒▒ that is compiled into profiles our data ▒▒▒▒▒▒▒▒ that is compiled into profiles our data
and sold for advertisement and research. and sold for advertisement and research.
Machine learning algorithms are not Machine learning algorithms are not
critics: they take whatever they're critics: they take whatever they're
given, no matter the writing style, given, no matter the writing style,
no matter the CV of the author, no no matter the CV of the author, no
matter their spelling mistakes. In matter their spelling mistakes. In
fact, mistakes make it better: the fact, mistakes make it better: the
more variety, the better they learn more variety, the better they learn
to anticipate unexpected text. But to anticipate unexpected text. But
often, human authors are not aware often, human authors are not aware
of what happens to their work. of what happens to their work.
Most of the writing we use is in Most of the writing we use is in
English, some is in French, some in English, some is in French, some in
Dutch. Most often we find ourselves Dutch. Most often we find ourselves
writing in Python, the programming writing in Python, the programming
language we use. language we use.
Algorithms can be writers too. Some Algorithms can be writers too. Some
neural networks write their own rules neural networks write their own rules
and generate their own texts. And for and generate their own texts. And for
the models that are still wrestling with the models that are still wrestling with
the ambiguities of natural language, the ambiguities of natural language,
there are human editors to assist them. there are human editors to assist them.
Poets, playwrights or novelists start Poets, playwrights or novelists start
their new careers as assistants of AI. their new careers as assistants of AI.
------
P r o g r a mm e r s are wr iting the datawork P r o g r a mm e r s are wr iting the datawork
P r o g r am m e rs are writing the dataworker P r o g r am m e rs are writing the dataworker
P r o g ra m mers are writing the dataworke P r o g ra m mers are writing the dataworke
P r o g r ammers a re writing the datawor P r o g r ammers a re writing the datawor
P r o g r ammers are writing the dataw P r o g r ammers are writing the dataw
P r o gram mers a re writing the data P r o gram mers a re writing the data
P r ogra m mer s are writing the d P r ogra m mer s are writing the d
P r o gramm e r s are writing the d P r o gramm e r s are writing the d
P r ogram m ers a re writing the d P r ogram m ers a re writing the d
P r o g ram m e rs a re writing the P r o g ram m e rs a re writing the
P r o g r a m m ers a r e writing the P r o g r a m m ers a r e writing the
P r o g r a m m e rs are writing the d P r o g r a m m e rs are writing the d
P r o g r a m m e r s a r e wr i ting the dat P r o g r a m m e r s a r e wr i ting the dat
P r o g r a mme r s ar e writ ing the dataw P r o g r a mme r s ar e writ ing the dataw
P r o g r amm e r s are writing the datawo P r o g r amm e r s are writing the datawo
P r o g r amm e r s are writing t he datawo P r o g r amm e r s are writing t he datawo
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P r o g r a m m e rs are writing the datawo P r o g r a m m e rs are writing the datawo
P r o gra m m e rs are w riting the datawork P r o gra m m e rs are w riting the datawork
P r og r a m mers a re writing the datawor P r og r a m mers a re writing the datawor
P r o g r a mmers a re writing the datawo P r o g r a mmers a re writing the datawo
P r o g r ammers a r e writing the dataw P r o g r ammers a r e writing the dataw
P r o g ra mmers a re writing the dat P r o g ra mmers a re writing the dat
P r o g ramm ers a re writing the da P r o g ramm ers a re writing the da
P r ogramm e rs a r e writing the da P r ogramm e rs a r e writing the da
P r o gramm e r s a r e writing the d P r o gramm e r s a r e writing the d
P r o g ram m e rs a r e writing the d P r o g ram m e rs a r e writing the d
P r o g r a m m e rs are writing the d P r o g r a m m e rs are writing the d
P r o g r a m m e r s a r e w r iting the da P r o g r a m m e r s a r e w r iting the da
P r o g r a mme r s ar e writ ing the dataw P r o g r a mme r s ar e writ ing the dataw
P r o g ramme r s are writing the datawo P r o g ramme r s are writing the datawo
P r o g r ammer s a re w riting th e datawor P r o g r ammer s a re w riting th e datawor
P r o g r a m mers a r e writ ing the datawork P r o g r a m mers a r e writ ing the datawork
P r o g r am me r s are wr iting the datawork P r o g r am me r s are wr iting the datawork
