| { | |
| "workbench.iconTheme": "vscode-icons", | |
| "workbench.colorTheme": "One Dark Pro Darker", | |
| "editor.tabSize": 2, | |
| "editor.fontFamily": "'Fira Mono', Menlo, Monaco, 'Courier New', monospace", | |
| "files.exclude": { | |
| "**/.git": false | |
| }, | |
| "editor.bracketPairColorization.enabled": true, |
Syntax: cat <filename> | jq -c '.[] | select( .<key> | contains("<value>"))'
Example: To get json record having _id equal 611
cat my.json | jq -c '.[] | select( ._id | contains(611))'Remember: if JSON value has no double quotes (eg. for numeric) to do not supply in filter i.e. in contains(611)
OS: Ubuntu 18.04.4 LTS
Mainboads
├── iGPU
| ceph -w | |
| ceph health detail | |
| ceph osd df | |
| ceph osd find | |
| ceph osd blocked-by | |
| ceph osd pool ls detail | |
| ceph osd pool get rbd all | |
| ceph pg dump | grep pgid | |
| ceph pg pgid |
| #define エスティーディー std | |
| #define アイオーストリーム <iostream> | |
| #define ユージング using | |
| #define イフ if | |
| #define インクルード #include | |
| #define イント int | |
| #define シーアウト cout | |
| #define シーイン cin | |
| #define ネームスペース namespace | |
| #define ブール bool |
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs
Currently in no particular order. Most of these are kind of ancient.
Where's all the modern documentation? So much of what I've turned up searching is other folks complaining about having few options beyond reading source code.
The OREILLY books, while dated, seem to be some of the best available. Note that these can be read with a 7-day trial. Do this! At least get through the introduction section and first chapter of each to see if it's what you're after.
| #!/usr/bin/env python3 | |
| """ | |
| License: MIT License | |
| Copyright (c) 2023 Miel Donkers | |
| Very simple HTTP server in python for logging requests | |
| Usage:: | |
| ./server.py [<port>] | |
| """ | |
| from http.server import BaseHTTPRequestHandler, HTTPServer |
| #!/usr/bin/env python | |
| ''' | |
| Create an indexed tabix file from a Pandas dataframe | |
| via "pure" Python (i.e., no subprocess) | |
| ''' | |
| import os | |
| import io | |
| import pandas as pd |
