1999 Australian Individual Speedway Championship
The 1999 Australian Individual Speedway Championship was held at the Olympic Park Speedway in Mildura, Victoria on 13 February 1999.
1999 Australian Individual Speedway Championship | |||
Previous: | 1998 | Next: | 2000 |
Former World #3 Todd Wiltshire won his first Australian Championship defeating Jason Lyons in a runoff after both finished on 14 points. Adelaide's Nigel Sadler finished third after defeating Perth's Frank Smart and local youngster Travis McGowan in a runoff after all three riders finished on 10 points.
Despite the championship being run on his home track, defending champion Leigh Adams did not ride in the Australian Final for the first time since 1991 where he had been forced to withdraw after breaking his wrist in a crash in Adelaide three weeks before the event.
1999 Australian Solo Championship
- 13 February 1999
Mildura - Olympic Park Speedway - Referee:
- Qualification: The top four riders go through to the Overseas Final in King's Lynn, England.
Pos. | Rider | Total |
---|---|---|
1 | 14+3 | |
2 | 14+2 | |
3 | 10+3 | |
4 | 10+2 | |
5 | 10+1 | |
6 | 9 | |
7 | 9 | |
8 | 8 | |
9 | 8 | |
10 | 8 | |
11 | 6 | |
12 | 4 | |
13 | 4 | |
14 | 2 | |
15 | 1 | |
16 | 1 | |
17 | 1 | |
18 | 0 |
gollark: I tried that.
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)```
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References
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