andiac

#include <stdio.h>

struct stack {
  int v[100];
  int top;
} stacks[3];

int N;

void push(struct stack * a, int v) {

andiac

'''
c style python because of the consideration of efficiency, please use pypy3 instead of python3!

This is a replication of "Counting the Paths on a Grid" introduced in the paper "Coping with Finiteness"
(Donald E. Knuth, 1976). This program estimates the number of self-avoiding paths on a 10×10 grid, 
starting from the point(0, 0) and ending at the point(10, 10).

~ pypy3 count_path_grid.py
1.5810562057001226e+24

andiac

import glob
from PyPDF2 import PdfFileMerger

def merger(output_path, input_paths):
    pdf_merger = PdfFileMerger()
    file_handles = []

    for path in input_paths:
        pdf_merger.append(path)

andiac

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
 * **************************************************************************
 * Contributions to this work were made on behalf of the GÉANT project,
 * a project that has received funding from the European Union’s Framework
 * Programme 7 under Grant Agreements No. 238875 (GN3)
 * and No. 605243 (GN3plus), Horizon 2020 research and innovation programme
 * under Grant Agreements No. 691567 (GN4-1) and No. 731122 (GN4-2).
 * On behalf of the aforementioned projects, GEANT Association is

andiac

from collections import deque

class TrieNode:
    def __init__(self, endWord = False, parent = None, char = ''):
        # to record duplicate words
        self.count = int(endWord)
        self.children = dict()
        # fail pointer of Aho Corasick Automaton
        self.fail = None
        # recording the parent in order to output the matched concept

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andiac

andiac

import random
import sys
import time

# sys.setrecursionlimit(10000)

def qsort(a):
    if len(a) <= 1: return a
    pivot = random.choice(a)
    left = qsort([x for x in a if x < pivot])

andiac

/*
 *  Copyright (C) 2020-2021 Andi Zhang <me@andi.ac>
 */

#include <iostream>

using namespace std;

class MyInt {
public:

andiac

ai_service_enable = "false"
ai_service_mode = "0"
ai_service_pause = "false"
ai_service_source_lang = "0"
ai_service_target_lang = "0"
ai_service_url = "http://localhost:4404/"
all_users_control_menu = "true"
apply_cheats_after_load = "false"
apply_cheats_after_toggle = "false"
aspect_ratio_index = "0"