The Fourflusher
The Fourflusher is a 1928 silent film directed by Wesley Ruggles and starring George J. Lewis and Marion Nixon. It was produced and distributed by the Universal Pictures. It is a surviving film.[1][2]
| The Fourflusher | |
|---|---|
| Directed by | Wesley Ruggles |
| Produced by | Carl Laemmle |
| Written by | Earl Snell Albert DeMond(titles) |
| Starring | Marion Nixon George J. Lewis |
| Cinematography | Ben F. Reynolds |
| Edited by | Robert Carlisle |
| Distributed by | Universal Pictures |
Release date | January 8, 1928 |
Running time | 60 minutes |
Cast
- George J. Lewis - Andy Wittaker
- Marion Nixon - June Allen
- Eddie Phillips - Robert Riggs
- Churchill Ross - Jerry
- Jimmie Ayre - Toni
- Burr McIntosh - Ira Wittaker
- Otto Hoffman - Mr. Riggs
- Wilfrid North - Mr. Stone
- Knute Erickson - Jeweler
- Patricia Caron - Cashier
- Miriam Fouche -
- Hayden Stevenson -
Preservation status
- This film is preserved in the EYE Institut Filmmuseum Netherlands collection.[3]
gollark: https://aphyr.com/posts/342-typing-the-technical-interview
gollark: If this worked as expected, in theory you could do```pythonraise quibble("abcd")```but alas, no.
gollark: But which runs much faster.
gollark: ```pythonfrom requests_futures.sessions import FuturesSessionimport concurrent.futures as futuresimport randomtry: import cPickle as pickleexcept ImportError: import pickletry: words_to_synonyms = pickle.load(open(".wtscache")) synonyms_to_words = pickle.load(open(".stwcache"))except: words_to_synonyms = {} synonyms_to_words = {}def add_to_key(d, k, v): d[k] = d.get(k, set()).union(set(v))def add_synonyms(syns, word): for syn in syns: add_to_key(synonyms_to_words, syn, [word]) add_to_key(words_to_synonyms, word, syns)def concat(list_of_lists): return sum(list_of_lists, [])def add_words(words): s = FuturesSession(max_workers=100) future_to_word = {s.get("https://api.datamuse.com/words", params={"ml": word}): word for word in words} future_to_word.update({s.get("https://api.datamuse.com/words", params={"ml": word, "v": "enwiki"}): word for word in words}) for future in futures.as_completed(future_to_word): word = future_to_word[future] try: data = future.result().json() except Exception as exc: print(f"{exc} fetching {word}") else: add_synonyms([w["word"] for w in data], word)def getattr_hook(obj, key): results = list(synonyms_to_words.get(key, set()).union(words_to_synonyms.get(key, set()))) if len(results) > 0: return obj.__getattribute__(random.choice(results)) else: raise AttributeError(f"Attribute {key} not found.")def wrap(obj): add_words(dir(obj)) obj.__getattr__ = lambda key: getattr_hook(obj, key)wrap(__builtins__)print(words_to_synonyms["Exception"])```New version which tends to reduce weirder output.
gollark: https://github.com/joelgrus/fizz-buzz-tensorflow/blob/master/Fizz%20Buzz%20in%20Tensorflow.ipynb
References
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