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oyiadin / istio-gen-envoy-config.yaml
Created December 10, 2023 08:29
istio-gen-envoy-config.yaml
This file has been truncated, but you can view the full file.
{
"config_dump": {
"configs": [
{
"@type": "type.googleapis.com/envoy.admin.v3.BootstrapConfigDump",
"bootstrap": {
"admin": {
"access_log": [
{
"name": "envoy.access_loggers.file",
@oyiadin
oyiadin / config.json
Created October 14, 2023 13:50
docker-oci-config.json
{
"ociVersion": "1.0.2-dev",
"process": {
"user": { /* ... */ },
"args": [
"/bin/sleep",
"10000"
],
"env": [
"PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
#!/bin/bash
CHAP_NUM=0
TMUX_SESSION=bash-classroom
TMUX_TEXT_PANE="-t ${TMUX_SESSION}.0"
TMUX_CODE_PANE="-t ${TMUX_SESSION}.1"
QUOTE="'"
CODE_NO_ECHO=
@oyiadin
oyiadin / keybase.md
Created March 12, 2020 14:45
keybase.md

Keybase proof

I hereby claim:

  • I am oyiadin on github.
  • I am oyiadin (https://keybase.io/oyiadin) on keybase.
  • I have a public key ASClkPruhFSrrXH99REEoJ3sTA8ZMmoGy2EwNQCJrwqEmQo

To claim this, I am signing this object:

@oyiadin
oyiadin / min-char-rnn.py
Created February 25, 2019 07:32 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
// Author: Chen Xiaoyuan
// 2018-01-26
#include <stdio.h>
#define lambda(type, function_body) \
({ type fn function_body fn; })
#define call(type, f, ...) \
lambda(type, (void(*pf)(), ...) { \
import re
import time
import random
import requests
from bs4 import BeautifulSoup
url = "http://jxgl.hdu.edu.cn/jxrwcx.aspx"
session = requests.Session()
r = requests.get(url)
import urllib.request
import os
import re
import time
import random
t = time.time()
bx = input('必修几?')
try:
from docx import Document
from docx.shared import Inches
import time
import os
t = time.time()
char = ['一', '二', '三', '四', '五', '六']
subject = input('科目?')
max_bx = input('必修一至必修几?')
@oyiadin
oyiadin / books.md
Last active December 27, 2015 19:59
书单整理