Manhattan Madness (1916 film)

Manhattan Madness is a 1916 silent film comedy directed by Allan Dwan and starring Douglas Fairbanks. It was produced by Fine Arts Film Company and distributed by Triangle Film Corporation.[1][2]

Manhattan Madness
Jewel Carmen and Douglas Fairbanks
Directed byAllan Dwan
Produced byFine Arts Film Company
Written byCharles T. Dazey
Frank Dazey
StarringDouglas Fairbanks
CinematographyVictor Fleming
Distributed byTriangle Film Corporation
Release date
October 1, 1916
Running time
50 minutes
CountryUSA
LanguageSilent..English titles

The film is preserved at George Eastman House and Museum of Modern Art.[3]

Cast

gollark: Enterprise-level, fully deterministic execution of random code. Totally secure!
gollark: ```pythonimport itertoolsimport multiprocessing as mchars = [chr(x) for x in range(32, 126)]chars.extend(["\t", "\n"])def generate_for_length(length): return map(lambda chars: "".join(chars),itertools.combinations(chars, length))def generate(): for i in itertools.count(): for s in generate_for_length(i): yield sif __name__ == "__main__": def start(func): proc = m.Process(target=func) proc.start() io_queue = m.Queue(maxsize=128) def printer(): while True: print(io_queue.get()) code_queue = m.Queue(maxsize=128) def generator(): for x in generate(): code_queue.put(x) def executor(): while True: code = code_queue.get() result = None try: result = repr(exec(code)) except Exception as e: result = repr(e) if result != None: io_queue.put(code + ": " + result) start(generator) for _ in range(4): start(executor) printer()```
gollark: Which do you think is slower: the execution or generation of strings?
gollark: ```pythonimport itertoolschars = [chr(x) for x in range(32, 126)]chars.extend(["\t", "\n"])def generate_for_length(length): return map(lambda chars: "".join(chars),itertools.combinations(chars, length))def generate(): for i in itertools.count(): for s in generate_for_length(i): yield sfor x in generate(): try: print(exec(x)) except Exception as e: print(f"{e} from {x}")```
gollark: I should multithread this!

References


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