meretciel

name: learn-github-actions
run-name: ${{ github.actor }} is learning GitHub Actions
on: [push]
env:
  ARTIFACT_NAME: GithubActionDemo.${{ github.ref_name }}.${{ github.sha }}.zip
  AWS_REGION: us-east-1

permissions:
  id-token: write   # This is required for requesting the JWT
  contents: read    # This is required for actions/checkout

meretciel

import os
from os import path
import sys

PROJECT_NAME = "FlaskSetupDemo"

MAIN_SCRIPT = """
from flask import Flask
from flask import render_template

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def removeNoisyData(data):
    output = {}
    for k, v in data.items():
        if not k in SNAPSHOT and not hasattr(v, "__call__") and k != "SNAPSHOT":
            output[k] = v
    return output

def expr(s, data=None):
    if data is None:
        _data = removeNoisyData(globals())

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def KL_distance(p, q, bottom=None):
    _s = lambda x, d: sum(x, bottom = bottom, data=d)
    A = _s(r'`p \cdot log \frac{`p}{`q}', locals())
    B = _s(r"`p \cdot log `p", locals())
    C = _s(r"`p \cdot log `q", locals())
    return expr("`A = `B - `C", data=locals())

Mq = "\mathcal{M}_{q}(t)"
Md = "\mathcal{M}_{d}(t)"
print(KL_distance(p = Mq, q = Md, bottom="t \in V"))

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class Point {
    public:
    int coordinate;
    int typeId;

    Point(int coordinate, int typeId): coordinate(coordinate), typeId(typeId) {}
};

class Solution {

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import multiprocessing as mp
import threading
import time
from os import path
from abc import abstractmethod, ABCMeta
import json

import sys
import logging

meretciel

import RPi.GPIO as gpio
import time

gpio.setmode(gpio.BOARD)


in_1 = 3
in_2 = 5
in_3 = 7