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#!/usr/bin/env python3 | |
""" cryptogram.py | |
A small tool to help you solve your cryptogram for Python 3. | |
Usage: | |
./cryptogram.py <cryptogram_text> | |
From there you'll get a prompt until you've solved the puzzle at hand |
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# Have 1d array-likes y_true and y_pred. | |
# y_true is expected to be 0/1, | |
# and y_pred is expected to have floats in [0, 1]. | |
# | |
# I learned how to do this from here: | |
# https://scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html | |
from sklearn.metrics import average_precision_score | |
from sklearn.metrics import precision_recall_curve |
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#!/bin/bash | |
# | |
# Convert all new Jupyter notebooks to straight Python files for easier code | |
# reviews. | |
# | |
for file in $(git diff --cached --name-only); do | |
if [[ $file == *.ipynb ]]; then | |
jupyter nbconvert --to script $file | |
git add ${file%.*}.py |
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# -*- coding: utf-8 -*- | |
""" rwlock.py | |
A class to implement read-write locks on top of the standard threading | |
library. | |
This is implemented with two mutexes (threading.Lock instances) as per this | |
wikipedia pseudocode: | |
https://en.wikipedia.org/wiki/Readers%E2%80%93writer_lock#Using_two_mutexes |
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# wordvec_example.py | |
# | |
# This file shows one way to work with word2vec data in Python. | |
# | |
# Setup: | |
# | |
# 1. Install gensim: | |
# | |
# pip install gensim | |
# |
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// A Lua module written in C. | |
// | |
// This module enables terminal-based ASCII art | |
// of a loquacious bovine nature. | |
// | |
#include <stdio.h> | |
#include <stdlib.h> | |
#include "lua.h" |
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// A bare-bones Lua interpreter, in C. | |
#include <stdio.h> | |
#include <string.h> | |
#include "lua.h" | |
#include "lauxlib.h" | |
#include "lualib.h" | |
int main() { |
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import itertools, os, sys | |
it, chars = 20, '.-=*x#X' | |
sys.stdout.write('\x1b[?25l') | |
w = int(os.popen('tput cols').read()) | |
h = int(os.popen('tput lines').read()) - 1 | |
x_max, y_max = float(w) / (2.0 * h) * 1.2, 1.2 | |
for j in itertools.count(1): | |
sys.stdout.write('\x1b[1;1H') |
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""" A function that can read MNIST's idx file format into numpy arrays. | |
The MNIST data files can be downloaded from here: | |
http://yann.lecun.com/exdb/mnist/ | |
This relies on the fact that the MNIST dataset consistently uses | |
unsigned char types with their data segments. | |
""" |