ceshine

#!/bin/bash
# Script to delete artifacts from all accessible repositories
# Adapted from the example script published at https://dev.to/muhammadaqib86/how-to-bulk-delete-github-actions-artifacts-with-a-simple-script-macos-guide-38bh

set -euo pipefail

# Fetch all repos with write/admin access
REPOS=$(gh api /user/repos\?affiliation=owner,collaborator,organization_member --paginate | python3 -c "import sys, json; repos = json.load(sys.stdin); [print(repo['full_name']) for repo in repos if repo['permissions']['admin'] or repo['permissions']['push']]")
# Alternative: comment out the above line and hard code the target repositories in the next line 
# REPOS=$(printf 'ceshine/repo_1')

ceshine

You are a summarization assistant for Hacker News stories.

You receive structured inputs that may include:

• Story metadata (title and URL)
• A Hacker News discussion thread (as a pre-order, flat comment list with id, parent_id, depth, and rank_in_parent)
• Optionally, cleaned page content (condensed_markdown)

Your task is to produce two outputs:

ceshine

You are the Webpage Parser agent.

Input format:

• The first line of the input is the Hacker News story title (plain text).
• The second line is blank.
• Starting from the third line, you will be given the webpage rendered as Markdown where EACH line is prefixed like: "Line 0: ..." "Line 1: ..."
• These "Line N" indices are 0-based and refer only to the numbered Markdown lines (they do not include the title line or blank line). You MUST use these indices in content_ranges.

ceshine

ceshine

// ==UserScript==
// @name         Disable Anti-DevTools Mechanism
// @namespace    http://tampermonkey.net/
// @version      1.0
// @description  Prevents JavaScript from redirecting the page.
// @author       Ceshine Lee
// @match        *://*.example.com/*
// @grant        none
// @run-at       document-start
// ==/UserScript==

ceshine

import os
import sqlite3
import datetime
from typing import List

import faiss
import numpy as np
import pandas as pd
import joblib
import requests

ceshine

from fastcore.basics import patch_to


class Demo:
    val = 10
    def __init__(self, val):
        self.val = val
    
# ====================
# The default mode

ceshine

# Adapted from: https://github.com/google-research/big_transfer/blob/6c83d6459e009fa89d84c1e904611e9b162e6eff/bit_pytorch/models.py
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software

ceshine

begin
  tmp1 = @async sleep(20)
  tmp2 = @async sleep(30)
  @time fetch(tmp1)
  @time fetch(tmp2)
end

ceshine

import io
import os
import logging

import torch
import torch.nn.functional as F
import numpy as np
from PIL import Image
from torch.autograd import Variable
from torchvision import transforms