added mark8e.py for epic poetry lookalike
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import markovify
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import nltk
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import json
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import re
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import time
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import os
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import random
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import language_check
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import textwrap
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# Modified mark8.py to generate something that looks like epic poetry. still this does not
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# handle rhyming schemes and other poetics.
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# This generates latex/markdown jumble instead of plain text.
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#
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# notes:
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# the time.sleep() lines below are there just to slow down the processing to keep
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# the server burden below 100% on one or more CPUs. These were added, when the supernice
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# alias just wasn't enough (in my opinion) to run on tilde.team without possibly affecting
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# other users. The time.sleep() lines are not necessary, they are there for shared pubnix love.
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#
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# there are probably one or more import lines above that do not need to be there.
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#
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# the lines toward the end are messy and difficult to read. And they insert some
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# indicators and numbers into the printed text that were added for debugging when
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# language-check kept crashing if markovify would return a blank sentence and language-check
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# doesn't like variables of type None. So the product of the markovify call was str()'d, and
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# the call itself was placed in a while loop until it actually returned something that isn't 'None'
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# an intermediate 'matches' variable was reintroduced.
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# all that code is subject to change.
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#
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tool = None
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text = None
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matches = None
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combined_model = None
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model_json = None
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#couplets = random.randint(5,14) # use this var to generate a random number of couplets between X,Y
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quatrains = random.randint(14,28) # use this var to generate a random number of quatrains between X,Y
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title = None # generate a title for the poem/song
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wrapper = textwrap.TextWrapper(width=69, subsequent_indent=" ")
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# these commented-out blocks left here for possible future use for the himinvagn Bragi cosmic.voyage
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# if i can figure out how to automate the generation of these headers while garbling some text below,
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# and semirandomly changing what frequenceis are listed, and signals quality/reconstr conf.%
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#
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#def genHeaders():
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# head1 = '''\
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# [processing by miniVISR.autoComms @ relay station VHE-0j0-η ]
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# [recv'd on 100Hz+-15Hz, 112.358Hz, 112.358KHz, 33.33MHz, 66.66MHz ]
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# [radio 112.358MHz, 121.5MHz, 130.167MHz, 143.625MHz, 244.30MHz ]
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# [freqs. 358.13MHz, 581.321MHz, 633.9MHz, 922.7MHz, 2113.853MHz ]
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# [signals quality: poor. signals reconstuction confidence: 65% ]
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# [message transcription relayed to Earthsys QEC for general delivery ]
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# [begin transcript ]
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# '''.format()
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# head2 = '''\
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#
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# ...able, animal, and mineral,
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# I know the skalds of old Solsys, and I quote the verse atypical
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# Synechdoche and kenna til, disorder quite limerickal;
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# I'm very well disposed as well, to matters a-esthetical,
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# I sing love songs to moons both in circle and elliptical,
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# About their craters and their phases with my lyrics I'm quite loose,
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# Bragi's here in your system to sing, and to share whatever you choose.
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# '''.format()
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# return 0
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#def genFooters():
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# countid = str(125925)#{file open stuff - keep a counter in a file?}
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#
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# foot = '''\
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# Bragi's here in your system to sing, and to share whatever you choose.
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# Broadcasting on many frequencies every 86,400 seconds. Bragi-{ordinal}
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# out.
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#
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# [end transcript ]
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# END MESSAGE."
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# '''.format(ordinal=countid)
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# print()
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# print(foot)
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# return 0
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def genTitle():
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word_list = str(combined_model.make_short_sentence(150, min_chars=80)).split()
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wtitle = ""
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for x in range(random.randint(1,3)):
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wtitle = wtitle + random.choice(word_list) + " "
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return str(wtitle).strip(' ,:"')
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def genLongLine(minl, maxl):
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"""
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give me a min length and a max length and i'll return a short
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sentence between those lengths, hopefully. and check it for grammar
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errors, and if some found, run it through language-check.correct()
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"""
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text = None
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while (str(text) == 'None'):
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text = str(combined_model.make_short_sentence(maxl, min_chars=minl))
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time.sleep(1)
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matches = tool.check(text)
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if len(matches) == 0:
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line = str(" " + text)
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else:
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line = str(" " + language_check.correct(text, matches))
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return line
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def genShortLine(minl, maxl):
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"""
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give me a min length and a max length and i'll return a short
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sentence between those lengths, hopefully. and check it for grammar
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errors, and if some found, run it through language-check.correct()
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"""
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text = None
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while (str(text) == 'None'):
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text = str(combined_model.make_short_sentence(maxl, min_chars=minl))
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time.sleep(1)
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matches = tool.check(text)
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if len(matches) == 0:
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line = str(" " + text)
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else:
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line = str(" " + language_check.correct(text, matches))
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return line
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# same basic structure as in markchainer.py, but this uses saved models
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# (model generation procedure separate from verse generation procedure
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# for shared pubnix love and) to be able to work with growing corpora
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# this searches a fixed relative path for already-created models.
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# reads the model(json) in, converts from json, combines the models
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# together.
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for file in os.listdir("./corpus/prose/chains/"):
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if file.endswith(".mkdch"):
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with open("./corpus/prose/chains/" + file) as f:
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model = markovify.Text.from_json(json.load(f))
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time.sleep(5)
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if combined_model:
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time.sleep(5)
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combined_model = markovify.combine(models=[combined_model, model])
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else:
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combined_model = model
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tool = language_check.LanguageTool('en-US')
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# disabling spellchecking, didn't like some of the 'fixes' from testing. using archaic language in testing, will use novel words in the future. to re-enable spellchecking, comment out the following line:
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tool.disable_spellchecking()
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#print("~*~") # This start delimeter is here for testing each run
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# doubled \\ to escape out some reserved symbols like \n and \m and \b
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print("\\newpage")
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ptitle = genTitle()
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print("\poemtitle{" + ptitle + "}")
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print("\\begin{verse}")
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print("\indentpattern{0010}")
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print("\\begin{patverse*}")
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for x in range(quatrains):
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print(genLongLine(30,80) + " \\" + "\\")
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print(genLongLine(30,80) + " \\" + "\\")
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print(genLongLine(30,80) + " \\" + "\\")
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print(genLongLine(30,80) + " \\" + "\\")
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print("\\medskip")
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print("\end{patverse*}")
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print("\end{verse}")
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