antonputra

FROM golang:1.23.0-bookworm AS build

ARG upx_version=4.2.4

RUN apt-get update && apt-get install -y --no-install-recommends xz-utils && \
  curl -Ls https://github.com/upx/upx/releases/download/v${upx_version}/upx-${upx_version}-amd64_linux.tar.xz -o - | tar xvJf - -C /tmp && \
  cp /tmp/upx-${upx_version}-amd64_linux/upx /usr/local/bin/ && \
  chmod +x /usr/local/bin/upx && \
  apt-get remove -y xz-utils && \
  rm -rf /var/lib/apt/lists/*

NickCrews

"""coalesce_parquets.py

gist of how to coalesce small row groups into larger row groups.
Solves the problem described in https://issues.apache.org/jira/browse/PARQUET-1115
"""
from __future__ import annotations

from pathlib import Path
from typing import Callable, Iterable, TypeVar

anandkunal

AWS SigV4 & SES Walkthrough in Go

A few years ago, I helped a non-profit organization build and deploy a series of web applications and micro-services on top of AWS. One of the services was responsible for sending out email notifications to people via AWS SES.

Back then, I wrote a really simple program in Go that made direct calls to the AWS API. Instead of using an official library, I read the API specification, learned how to authenticate requests, and implemented a fairly trivial SDK. The code was succinct, readable, and worked perfectly for 3 years without any issues.

That is until this past week…

AWS recently updated the specification, we’re now at Signature Version 4 (SigV4), for how API requests must be formed and signed by clients. In this walkthrough, I’ll share the full Go source code (~130 LOC) that I put together to make valid authenticated calls to AWS for SES. You don’t need to be knowledgeable about Go to grok code in this post. In fact, code in this post will translate pretty cleanly to

wfng92

from fastapi import FastAPI, Body
from pydantic import BaseModel

app = FastAPI()


class Number(BaseModel):
    value: int

sanchezzzhak

SELECT table,
    formatReadableSize(sum(bytes)) as size,
    min(min_date) as min_date,
    max(max_date) as max_date
    FROM system.parts
    WHERE active
GROUP BY table

knibals

package main
import (
    "net/http"
)

func redirect(w http.ResponseWriter, req *http.Request) {
    http.Redirect(w, req,
            "https://" + req.Host + req.URL.String(),
            http.StatusMovedPermanently)
}

gboudreau

Exporting your 2FA tokens from Authy to transfer them into another 2FA application

IMPORTANT - Update regarding deprecation of Authy desktop apps

Past August 2024, Authy stopped supported the desktop version of their apps:
See Authy is shutting down its desktop app | The 2FA app Authy will only be available on Android and iOS starting in August for details.

And indeed, after a while, Authy changed something in their backend which now prevents the old desktop app from logging in. If you are already logged in, then you are in luck, and you can follow the instructions below to export to tokens.

If you are not logged in anymore, but can find a backup of the necessary files, then restore those files, and re-install Authy 2.2.3 following the instructions below, and it should work as expected.

ravibhure

In your local clone of your forked repository, you can add the original GitHub repository as a "remote". ("Remotes" are like nicknames for the URLs of repositories - origin is one, for example.) Then you can fetch all the branches from that upstream repository, and rebase your work to continue working on the upstream version. In terms of commands that might look like:

Add the remote, call it "upstream":

git remote add upstream https://github.com/whoever/whatever.git

Fetch all the branches of that remote into remote-tracking branches, such as upstream/master:

git fetch upstream

zmagg

f = open("sowpods.txt", "r")
canonized_words = {}
word1 = ""
word2 = ""
max_len = 0

for line in f:
    if len(line) > max_len:
        sorted_word = ''.join(sorted(line))

heewa

def diff_data(d1, d2, d1_name='d1', d2_name='d2'):
    """Return fields in one but not the other, or None if they're the same.
    """
    if d1 == d2:
        return None
    elif type(d1) != type(d2):
        return {d1_name: d1, d2_name: d2}
    elif isinstance(d1, dict):
        diff = {}
        for key, v1 in d1.iteritems():