joho

Steps to install and run PostgreSQL 9.2 using Homebrew (Mac OS X)
(if you aren't using version 9.1.5, change line 6 with the correct version)

1. launchctl unload -w ~/Library/LaunchAgents/homebrew.mxcl.postgresql.plist
2. mv /usr/local/var/postgres /usr/local/var/postgres91
3. brew update
4. brew upgrade postgresql
5. initdb /usr/local/var/postgres -E utf8
6. pg_upgrade -b /usr/local/Cellar/postgresql/9.1.5/bin -B /usr/local/Cellar/postgresql/9.2.0/bin -d /usr/local/var/postgres91 -D /usr/local/var/postgres
7. cp /usr/local/Cellar/postgresql/9.2.0/homebrew.mxcl.postgresql.plist ~/Library/LaunchAgents/

kevin-smets

Default

Powerlevel10k

daxadax

#!/usr/bin/env ruby

# modified from https://gist.github.com/pbock/3ab260f3862c350e6b5f #

require 'watir-webdriver'

class BurgerBot

  def initialize
    @attempt_count = 0

pgorczak

#! /usr/bin/env python

import argparse
import itertools

import cv2
import numpy as np

if __name__=='__main__':
    parser = argparse.ArgumentParser(

480

MacOS X + oh my zsh + powerline fonts + visual studio code (vscode) terminal settings

Thank you everybody, Your comments makes it better

Install oh my zsh

http://ohmyz.sh/

sh -c "$(curl -fsSL https://raw.github.com/ohmyzsh/ohmyzsh/master/tools/install.sh)"

trygvebw

import torch
import numpy as np
import k_diffusion as K

from PIL import Image
from torch import autocast
from einops import rearrange, repeat

def pil_img_to_torch(pil_img, half=False):
    image = np.array(pil_img).astype(np.float32) / 255.0

shawwn

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
{"seed": 374894, "temp": 0.7, "top_p": 0.0, "top_k": 40, "repetition_penalty": 1.1764705882352942, "max_seq_len": 512, "max_gen_len": 511}
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Loading
Loaded in 8.72 seconds

============== sample 1 =================

I believe the meaning of life is to grow, learn and give.

lapp0

import urllib.request
import json


def bits_to_gb(bits):
    return bits / (8 * 1024**3)


def calculate_train_vram_requirements(
        batch_size, seq_len, params, precision, num_layers, num_attn_heads, hidden_size, **ignored

Maximilian-Winter

import inspect
import json
import re
import typing
from inspect import isclass, getdoc
from types import NoneType

from pydantic import BaseModel, Field
from pydantic.fields import FieldInfo
from typing import Any, Type, List, get_args, get_origin, Tuple, Union, Optional