Volleyball at the 1996 Summer Paralympics

Volleyball at the 1996 Summer Paralympics consisted of two events, men's standing and sitting volleyball.

Volleyball
at the X Paralympic Games
Paralympic Volleyball
Medalists
 Iran (IRI) (sitting)
 Germany (GER) (standing)
 Norway (NOR) (sitting)
 Slovakia (SVK) (standing)
 Finland (FIN) (sitting)
 Poland (POL) (standing

Medal summary

Event Gold Silver Bronze
Sitting volleyball
Men's team
 Iran (IRI)

Gholam Akhavan
Ahmad Shivani
Hadi Rezaei
Parviz Firouzi
Hassan Shahi
Farshid Ashouri
Ali Akbar Salavatian
Ali Golkar
Majid Soleimani
Ali Kashfia
Mohsen Barati
Jalil Imeri

 Norway (NOR)

Lars Jensen
Oeivind Olsen
Andreas Vennesland
Erik Halvorsen
Kaare Lyse
Tomas Nesheim
Ole Hodnemyr
Oeyvind Strand
Gaute Rostrup
Bjarne Abrahamsen

 Finland (FIN)

Veli-Matti Tuominen
Matti Pulli
Lauri Venalainen
Esa Liukkonen
Jari Heino
Lauri Melanen
Sami Tervo
Pekka Norola
Keijo Hanninen
Reijo Salonen
Jukka Laine
Petri Kapiainen

Standing volleyball
Men's team
 Germany (GER)

Rudolf Schwietering
Pavo Grgic
Manfred Kohl
Elmar Sommer
Jens Altmann
Stefan Kaiser
Josef Weissenfels
Oliver Mueller
Andreas Johann
Bernard Schmidl
Josef Giebel

 Slovakia (SVK)

Michal Csader
Pavol Betin
Michal Nestorik
Richard Kovac
Jaroslav Makovnik
Peter Moravcik
Andrej Marcin
Pavol Sedlak
Marek Tomsik
Lubomir Novosad
Jozef Mihalco

 Poland (POL)

Adam Zawislak
Tomasz Wozny
K. Mozdzynski
Roman Wanecki
Jan Maliszak
Czeslaw Humerski
Marian Warda
Andrzej Iwaniak
Stanislaw Leja
Piotr Moszczynski
Tadeusz Bogusz
Jerzy Kruszelnicki

gollark: `False`
gollark: `True`
gollark: ```pythonimport requestsimport randomimport fileinputdef weighted_choice(choices): total = sum(weight for choice, weight in choices) r = random.uniform(0, total) upto = 0 for choice, weight in choices: if upto + weight >= r: return choice upto += weight assert False, "Shouldn't get here"def get_rhymes(word, extra_params={}): default_params = { "rel_rhy": word, "max": 20, "md": "pf" } return requests.get("https://api.datamuse.com/words/", params={**default_params, **extra_params}).json()def get_frequency(word_object): for tag in word_object["tags"]: if tag.startswith("f:"): return float(tag[2:]) return 0def get_rhyme(word, params): options = get_rhymes(word, params) options = list(map(lambda word_object: (word_object["word"], get_frequency(word_object)), options)) if len(options) == 0: return word return weighted_choice(options)last = Nonefor line in fileinput.input(): line = line.replace("\n", "") if last != None: print(line + " " + get_rhyme(last, {})) last = None else: last = line.replace(".", "").split(" ")[-1] print(line)```
gollark: My automated rap generatorIs far superior to puny human rappers laterIt is backed by the entire resourcesOf this random online dictionary and word relation query API resource isTechnically it still relies on human interventionTo produce the input text to turn into rap intentionAnd due to the limitations of current natural language processingIt is unable to significantly transform the input text reprocessingThis is because spoken human languagesAre mostly not designed with machine-parseability language isor ease of understandingas major goals expandingand were we using better-designed languages, automated rapwould surely be much easier. app
gollark: Does that even rhyme?Um... BLIME!

References

    This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.