sp1ke23 sp1ke23

AI Git Commit Attribution Reference

GitHub Copilot

Application	Co-authored-by	GitHub API
GitHub Copilot Cloud Agent	`Co-authored-by: copilot-swe-agent[bot] <198982749+copilot@users.noreply.github.com>`	copilot-swe-agent[bot]
GitHub Copilot Chat	`Co-authored-by: Copilot <167198135+copilot[bot]@users.noreply.github.com>`	copilot[bot]
GitHub Copilot CLI	`Co-authored-by: Copilot <167198135+copilot[bot]@u

Make Ubuntu packages 90% faster by rebuilding them

TL;DR

You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.

Setting

I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is

类别	药品通用名	原研品牌
抗生素类	头孢克洛	希刻劳
	头孢呋辛	西力欣
	左氧氟沙星	可乐必妥
	莫西沙星	拜复乐
	阿奇霉素	希舒美
	头孢妥仑匹酯	美爱克
抗真菌类	盐酸特比萘芬	兰美抒
	奥美拉唑	洛赛克

edge tts

获取语音列表：

https://speech.platform.bing.com/consumer/speech/synthesize/readaloud/voices/list?trustedclienttoken=6A5AA1D4EAFF4E9FB37E23D68491D6F4

tts接口

wss://speech.platform.bing.com/consumer/speech/synthesize/readaloud/edge/v1?TrustedClientToken=6A5AA1D4EAFF4E9FB37E23D68491D6F4&Sec-MS-GEC=C14242292B2241ECB17DD93BD17E481FADED759D70DCE83CA526064D9E90420C&Sec-MS-GEC-Version=1-114.0.1823.67&ConnectionId=373cb9fe3c926de352de8ad4c800b24c HTTP/1.1
Host: speech.platform.bing.com

🐘 Postgres Standalone

Why?

Localize your database into one single folder of your choosing.
No sudo / root requirement.
Run multiple Postgres at the same time on the same machine- Full bare metal performance.
Postgres is a great starter before moving to "slow single machine but horizontal scale": CockroachDB, ScyllaDB, etc.

	#!/usr/bin/env python3

	from __future__ import annotations

	import argparse
	import json
	import re
	import struct
	import sys
	from collections import Counter

	You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

	## Core Principles

	1. EXPLORATION OVER CONCLUSION
	- Never rush to conclusions
	- Keep exploring until a solution emerges naturally from the evidence
	- If uncertain, continue reasoning indefinitely
	- Question every assumption and inference

	-Xms128m
	-Xmx8182m
	-XX:ReservedCodeCacheSize=512m
	-XX:CICompilerCount=2
	-XX:+HeapDumpOnOutOfMemoryError
	-XX:-OmitStackTraceInFastThrow
	-XX:+UnlockExperimentalVMOptions -XX:+UseZGC
	-XX:ZCollectionInterval=120 -XX:ZAllocationSpikeTolerance=5
	-XX:+UnlockDiagnosticVMOptions -XX:-ZProactive

	// import tls "github.com/refraction-networking/utls"
	tcpConn, err := net.Dial("tcp", "tlsfingerprint.io:443")
	if err != nil {
	fmt.Printf("net.Dial() failed: %+v\n", err)
	return
	}

	config := tls.Config{ServerName: "tlsfingerprint.io"}
	tlsConn := tls.Client(tcpConn, &tlsConfig, utls.HelloCustom)
	clientHelloSpec := tls.ClientHelloSpec {