| #! /usr/bin/env python | |
| class Point(object): | |
| def __init__(self, _x, _y, _order = None): self.x, self.y, self.order = _x, _y, _order | |
| def calc(self, top, bottom, other_x): | |
| l = (top * inverse_mod(bottom)) % p | |
| x3 = (l * l - self.x - other_x) % p | |
| return Point(x3, (l * (self.x - x3) - self.y) % p) |
| /* | |
| * The following is an implementation of the finite field GF(2^8) as bit vectors of length 8, where the nth bit represents the | |
| * coefficient of the nth power of the generator in each element, and the generator satisfies the minimal polynomial | |
| * x^8 + x^4 + x ^3 + x^2 + 1 in the prime field Z_2, in which addition is equivalent to XOR and multiplication to AND. | |
| * The elements of GF(2^8) thus represent polynomials of degree < 8 in the generator x. Addition in this field is simply | |
| * bitwise XOR, but multiplication requires the elimination of powers of x <= 8. | |
| */ | |
| #include <stdio.h> | |
| #include <stdint.h> |
| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
| These commands are based on a askubuntu answer http://askubuntu.com/a/581497 | |
| To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below. | |
| USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING. | |
| ABSOLUTELY NO WARRANTY. | |
| If you are still reading let's carry on with the code. | |
| sudo apt-get update && \ | |
| sudo apt-get install build-essential software-properties-common -y && \ | |
| sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \ |
| #!/bin/bash | |
| # Example for the Docker Hub V2 API | |
| # Returns all images and tags associated with a Docker Hub organization account. | |
| # Requires 'jq': https://stedolan.github.io/jq/ | |
| # set username, password, and organization | |
| UNAME="" | |
| UPASS="" | |
| ORG="" |
| # Batch convert all .ppt/.pptx files encountered in folder and all its subfolders | |
| # The produced PDF files are stored in the invocation folder | |
| # | |
| # Adapted from http://stackoverflow.com/questions/16534292/basic-powershell-batch-convert-word-docx-to-pdf | |
| # Thanks to MFT, takabanana, ComFreek | |
| # | |
| # If PowerShell exits with an error, check if unsigned scripts are allowed in your system. | |
| # You can allow them by calling PowerShell as an Administrator and typing | |
| # ``` | |
| # Set-ExecutionPolicy Unrestricted |
| TEST_ONE=common-env-file | |
| TEST_TWO=common-env-file | |
| TEST_TREE=common-env-file | |
| TEST_FOUR=common-env-file |
| import tensorflow as tf | |
| import numpy as np | |
| import time | |
| N=10000 | |
| K=4 | |
| MAX_ITERS = 1000 | |
| start = time.time() |
| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
Warning This is SEVERELY outdated, the current jupyter version is > 6.X, please refer to your current jupyter notebook installation!
Disclaimer : I just copied those shortcuts from Jupyter Menú > Help > Keyboard Shortcuts, I didn't wrote them myself.
Check your current shortcuts in your Help, shortcuts coule have been modified by extensions or your past self.
