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from itertools import product | |
from Goulib.itertools2 import ilen | |
ten = range(10) | |
def tenpow(p): | |
# p is the log of exponent | |
return product(ten, repeat=p) | |
def tenprint(iter): |
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import inspect | |
import re | |
regexes=[ | |
r"assert\((.*)(==|!=|>|<)(.*)\)", | |
#TODO: expand for test frameworks like unittest, nose ... | |
] | |
def _make_true(op,value): | |
# returns a value that satisfies comparizon |
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<!doctype html> | |
<html> | |
<head> | |
<meta charset="utf-8"/> | |
<title>D3Table</title> | |
<link rel="stylesheet" href="https://rawgit.com/goulu/Clusterize.js/master/clusterize.css"></script> | |
<script src="https://rawgit.com/goulu/Clusterize.js/master/clusterize.js"></script> | |
<script src='http://d3js.org/d3.v3.js' type='text/javascript'></script> | |
<script src="./table.js" type='text/javascript'></script> | |
</head> |
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const margin = {top: 20, right: 10, bottom: 20, left: 60}; | |
class Figure { | |
constructor(div,width,height) { | |
this.width = width; | |
this.height = height; | |
// Canvas is drawn first, and then SVG over the top. | |
this.canvas = div.append("canvas") |
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from fractions import gcd | |
s=9192631770 # number of caesium oscillations in a second | |
bestm=299792458 # fraction of a second in a meter | |
bestgcd=gcd(s,bestm) #14 . we want a larger one | |
for m in range(299792458, 300000000): | |
g=gcd(s,m) | |
if g>bestgcd: | |
bestm,bestgcd=m,g | |
print(bestgcd,bestm,s/bestgcd,m/bestgcd) |
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from Goulib.math2 import digits, identity | |
def mod_matmul(A,B, mod=0): | |
return [[sum(a*b for a,b in zip(A_row,B_col))%mod for B_col in zip(*B)] for A_row in A] | |
def mod_matpow(M, power, mod=0): | |
result = identity(2) | |
for power in digits(power,2,True): | |
if power: | |
result = mod_matmul(result, M, mod) |
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import itertools, math | |
def triples(): | |
""" generates Pythagorean triples sorted by z,y,x with x<y<z | |
""" | |
for z in itertools.count(5): | |
for y in range(z-1,3,-1): | |
x=math.sqrt(z*z-y*y) | |
if x<y and abs(x-round(x))<1e-12: | |
yield (int(x),y,z) |
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#!/usr/bin/env python | |
# coding: utf8 | |
""" | |
efficient search of Münchausen numbers | |
https://en.wikipedia.org/wiki/Munchausen_number | |
https://oeis.org/A046253 | |
motivated by http://www.johndcook.com/blog/2016/09/19/munchausen-numbers/ | |
""" | |
__author__ = "Philippe Guglielmetti" |
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from scipy.special import binom as binomial | |
def bernouilli_gen(init=1): | |
"""generator of Bernouilli numbers | |
:param init: int -1 or +1. | |
* -1 for "first Bernoulli numbers" with B1=-1/2 | |
* +1 for "second Bernoulli numbers" with B1=+1/2 | |
https://en.wikipedia.org/wiki/Bernoulli_number | |
https://rosettacode.org/wiki/Bernoulli_numbers#Python:_Optimised_task_algorithm | |
""" |
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