cedricbellet

import numpy as np
from matplotlib import pyplot as plt


def plot_little_fermat(height, width, overlay_primes=False):
    """Plot a^(q-1) for ranges of integers a, q."""
    # Compute the values
    array = np.zeros([height, width])

    for i in range(height):

cedricbellet

from matplotlib import pyplot as plt

# http://oeis.org/wiki/Carmichael_numbers
CARMICHAEL_NUMBERS = [
    561, 1105, 1729, 2465, 2821, 6601, 8911, 10585, 15841, 29341, 41041, 46657,
    52633, 62745, 63973, 75361, 101101, 115921, 126217, 162401, 172081, 188461,
    252601, 278545, 294409, 314821, 334153
]

def prime_factors(n):

cedricbellet

from math import gcd

def test_property(candidate: int, max_progression: int=100):
    """Returns True if Fermat's little theorem's property is verified for a
    limited number of progressions."""
    test_progressions = range(2, max_progression)

    for progression in range(2, max_progression):
        if gcd(progression, candidate) != 1:
            # THIS IS DIFFERENT

cedricbellet

import numpy as np

def get_primes(n):
    """Returns  a list of primes < n
    https://stackoverflow.com/questions/2068372/fastest-way-to-list-all-primes-below-n
    """
    sieve = [True] * n
    for i in range(3, int(n ** 0.5) + 1, 2):
        if sieve[i]:
            sieve[i * i :: 2 * i] = [False] * ((n - i * i - 1) // (2 * i) + 1)

cedricbellet

"""A class for one-neuron nets."""
# -*- coding: utf-8 -*-
from __future__ import division
import numpy as np


class OneNeuronNet(object):
    """A neural network with a single neuron (but many incoming dendrons), for
    experiments with different activation functions, cost functions and training
    objectives."""

cedricbellet

'use strict';

(function (shs) {

  const H0 = [
    0x6a09e667, 0xbb67ae85, 0x3c6ef372, 0xa54ff53a, 0x510e527f, 0x9b05688c, 0x1f83d9ab, 0x5be0cd19,
  ];

  const K = [
    0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5, 0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5,

cedricbellet

for (i of [2, 3, 5, 7, 11, 13, 17, 19]) {
  input_block = parseInt((Math.sqrt(i) % 1).toString(2).slice(2, 34), 2);
  console.log(input_block.toString(16), input_block.toString(2).padStart(32, '0'));
}

cedricbellet

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cedricbellet

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