Sigmanificient

FROM archlinux:base-devel
RUN pacman -Syu meson ninja cmake csfml curl ncurses --noconfirm --needed
RUN curl -LO https://github.com/Snaipe/Criterion/releases/download/v2.4.1/criterion-2.4.1.tar.xz
RUN tar -xf criterion-2.4.1.tar.xz
RUN cd criterion-2.4.1 && arch-meson -Db_pie=false -Db_lto=false build
RUN cd criterion-2.4.1 && meson compile -C build -v --ninja-args=-n,-v,-d,explain

Sigmanificient

# Example use case
include check_cmd.mk

all: $(VENV)

VENV=VENV

$(VENV):
    $(call CHECK_CMD, python3)
    @ python3 -m venv $@

Sigmanificient

from selenium import webdriver
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.firefox.service import Service

URL = "https://www.google.com"


def main():
    options = Options()
    options.headless = True

Sigmanificient

git clone https://github.com/Epitech/banana-vera.git || exit 1
cd banana-vera

yay -Sy boost

cmake . -DVERA_LUA=OFF -DPANDOC=OFF -DVERA_USE_SYSTEM_BOOST=ON
make -j
sudo make install

Sigmanificient

print("Light out in 1 line, use A1 to E5 to play (A-E vertical, 1-5 horizontal)"*0,type('',((__:=setattr)and(BS:=5)and(r:=__import__('random'))and()),{'__init__':lambda s:(__(s,'b',[[0 for _ in range(BS)]for _ in range(BS)])or __(s,'ir',0)or s.sb())and None,'__iter__':lambda s: s,'__next__':lambda s: s.ir,'__repr__':lambda s:'\n'.join(' '.join('.x'[c]for c in line)for line in s.b),'main':lambda s:(__(s,'ir',0),[(print(s),(s.hp(),s.cw()))for _ in iter(s.__next__, 1)], "You won!")[2],'c':property(lambda s:sum(map(sum,s.b))),'cp':lambda _,cs:(len(cs) == 2 and cs[0]in'ABCDE'and cs[1] in '12345'),'cw':lambda s:(__(s,'ir',s.iw)),'iw':property(lambda s: (s.c==0)),'hp':lambda s:(s.cp(p:=input("Where to play? "))and(s.sl(*s.tc(p)))),'sb':lambda s:[s.sl(r.randrange(0,BS),r.randrange(0,BS))for _ in range(100)],'sl':(lambda s,x,y:[s.sw(x+dx,y+dy)for dx,dy in((0,0),(0,-1),(0,1),(-1,0),(1,0))if((0<=(x+dx)<BS)and(0<=(y+dy)<BS))]),'sw':lambda s,x,y:(__(s,'b',[[c if((cx!=x)or(cy!=y))else(not(s.b[y][x]))for cx,c in enumerate(l

Sigmanificient

import os

from github import Github

BASE_DIR = '...'
GITHUB_TOKEN = '...'

CWD = os.getcwd()

Sigmanificient

/* */

body {
    background: #0b0815;
}

header {
    background-color: #0b0815 !important;
}

Sigmanificient

from __future__ import annotations

from dataclasses import dataclass
from typing import Any, Optional, List, Generic, TypeVar, NoReturn, Callable, Union, Tuple

_K = TypeVar('_K')
_V = TypeVar('_V')


@dataclass

Sigmanificient

1 => 1 ------------------------------------------------------
< Min                   0.00001 |                         1 | 0.00x
> Max                   0.00003 |                         1 | 0.00x
~ Avg                   0.00001 |                       1.0 | 0.00x
2 => 1 ------------------------------------------------------
< Min                   0.00001 |                         1 | 1.00x
> Max                   0.00030 |                        30 | 29.07x
~ Avg                   0.00004 |                      8.48 | 4.17x
3 => 1 ------------------------------------------------------
< Min                   0.00003 |                         2 | 0.61x

Sigmanificient

all: start

PKG = 

VENV = venv
VBIN = $(VENV)/bin
TEST = tests

$(VBIN)/python:
	python3 -m venv venv