criminy

import java.io.Serializable;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;

import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.data.domain.Sort;

jexchan

Multiple SSH Keys settings for different github account

create different public key

create different ssh key according the article Mac Set-Up Git

$ ssh-keygen -t rsa -C "your_email@youremail.com"

jagtesh

---

Table of Contents

1. DISCLAIMER 2. Status 3. Introduction 4. Security issues 5. DNS

kontext-e

// Usage:
// Install LivePlugin http://plugins.jetbrains.com/plugin/7282
// Install this plugin into LivePlugin and run it
// In source code, create a method or constructor call and place the cursor into the empty braces
// Open the intentions drop down menu and select the "Create variables for method call parameters"
import com.intellij.codeInsight.intention.PsiElementBaseIntentionAction
import com.intellij.openapi.editor.Editor
import com.intellij.openapi.editor.Document
import com.intellij.openapi.project.Project
import com.intellij.psi.PsiCallExpression

renanccastro

from slacker import Slacker
# primeiro, instale com: pip install slacker
# deleta todos os arquivos
token = 'gere seu token em: https://api.slack.com/docs/oauth-test-tokens'
name = 'renan.castro'

slack = Slacker(token)


# Get users list

joseluisq

How to recover a dropped stash in Git?

1. Find the stash commits

git log --graph --oneline --decorate ( git fsck --no-reflog | awk '/dangling commit/ {print $3}' )

This will show you all the commits at the tips of your commit graph which are no longer referenced from any branch or tag – every lost commit, including every stash commit you’ve ever created, will be somewhere in that graph.

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp