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| from operator import mul | |
| def euler8(digits, n=4): | |
| i = 0 | |
| _max = 0 | |
| while i <= len(digits)-n: | |
| _r = reduce(mul, [int(x) for x in digits[i:i+n]]) | |
| if _r > _max: | |
| _max = _r | |
| i += 1 |
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| def genprimes(upto): | |
| primes = {} | |
| q = 2 | |
| i = 0 | |
| while i < upto: | |
| if q not in primes: | |
| yield q | |
| i += 1 | |
| primes[q*q] = [q] | |
| else: |
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| def retry_task(name, max_retries=3, ignore_result=True, queue="celery", countdown=10, exceptions=[]): | |
| """ | |
| This decorator allows you to retry a celery task if it raised an exception of type defined in <exceptions>. | |
| Tasks are also wrapped by a commit_on_success decorator to avoid incomplete data in the database. | |
| arguments are : | |
| name: The name of the task | |
| max_retries: The number of retries before giving up [default: 3] | |
| ignore_result: Should celery ignores the result [default: True] | |
| queue: The queue name [default: "celery"] |
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| function randomRange(lowerBound, upperBound){ | |
| return lowerBound + Math.random() * (upperBound-lowerBound); | |
| } | |
| function draw() { | |
| var canvas = document.getElementById("canvas"); | |
| var c = canvas.getContext("2d"); | |
| function drawBranch(l, direction) { | |
| c.save(); | |
| c.fillRect(-1, 0, 2, -l); |
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| class NullProxy(object): | |
| """Pretend you have a model object with three attributes: | |
| class Person(object): | |
| name = String(40) | |
| age = Integer() | |
| email = Email() | |
| And have a sub-class adding extra attributes: |
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| str = 'a string' | |
| binary_representation = ''.join([bin(ord(c))[2:].zfill(8) for c in str]) |
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| str = '01001000011000010111000001110000011110010010000001001110011001010111011100100000010110010110010101100001011100100111001100100001' | |
| print ''.join([chr(int(str[i:i+8],2)) for i in range(len(str)) if i % 8 ==0]) |