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/*
 By Andre LaBranche, with extensive help from your friend and mine, ChatGPT.
 In other words, assume this code eats babies.

 This program attempts to be a reasonably inexpensive replacement for
 /usr/bin/pidpersec.d in macOS, which still ships, but is broken by default
 (i.e. when SIP is enabled).

 compile with: clang -o pidpersec pidpersec.c
 */

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find /System/Library/LaunchDaemons /System/Library/LaunchAgents -name "*.plist" \
 | while read p ; do plutil -convert json -o - ${p} \
 | jq -r ' .. | objects | with_entries(select(.key == "Notification")) | select(. != {}).Notification'
 done | sort -u > ~/Desktop/all-launchd-notifications.txt

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#!/bin/zsh
#
# Batch transcribe audio files with whisper.cpp and ffmpeg
# This script wants:
# - ffmpeg installed and accessible via $PATH
# - whisper.cpp built locally:
#       git clone https://github.com/ggerganov/whisper.cpp
#       cd whisper.cpp
#       make
#   The compiled binary will be called 'main' in the whisper.cpp directory.

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#!/usr/bin/env python
import numpy as np

p1 = "portrait of a robot cyberpunk cat,"
p2 = "a cyborg steampunk dog,"
common = "octane render, 8k, high detail, global illumination, artstation, [out of frame]"
blendSteps = 300

f = open('prompts.txt', 'w')

dreness

Algodoo

... is pretty great. If you somehow arrived here without knowing what Algodoo is, I implore you to go try it right now.

I had a hard time finding good examples of Thyme code on ye interwebs, and this document tries to remedy that. I downloaded a bunch of public compositions by the talented matto and then made a Jupyter notebook to extract interesting Thyme snippets from the project files (which are just zip archives after all). For this purpose, I define "interesting" as:

dreness

#!python3

import re
import fileinput
import sys
import csv


# 2022-10-31 01:57:27 -0700 Wake Requests       	[*process=mDNSResponder request=Maintenance deltaSecs=7198 wakeAt=2022-10-31 03:57:25 info="upkeep wake"] [process=powerd request=TCPKATurnOff deltaSecs=316637 wakeAt=2022-11-03 17:54:44] [process=powerd request=UserWake deltaSecs=7850 wakeAt=2022-10-31 04:08:17 info="com.apple.alarm.user-visible-com.apple.CalendarNotification.EKTravelEngine.periodicRefreshTimer,14054"]           
# 2024-01-18 18:18:15 -0800 Wake Requests       	[process=mDNSResponder request=Maintenance deltaSecs=2648 wakeAt=2024-01-18 19:02:23 info="DHCP lease renewal"] [*process=dasd request=SleepService deltaSecs=950 wakeAt=2024-01-18 18:34:05 info="com.apple.dasd:501:com.apple.proactive.ProactiveHarvesting.Harvest.DelayedBudgeted"] [process=powerd request=TCPKATurnOff deltaSecs=316858 wakeAt=2024-01-22 10:19:13] [process=powerd request=CSPNEvaluation deltaSecs=7253 wakeAt=2024-01-18 20:19:08] [process=powerd request=UserWake del

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# ~/.logrc config for log(1) in macOS

show:
    --style compact
    --color always
    --last 4h

stream:
    --info
    --debug

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-- can't get `open -g` to work...

tell application "System Events"
	set prevApp to name of first process whose frontmost is true
end tell

tell application "mpv" to launch
tell application prevApp to activate

tell application "mpv"

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diff --git a/compiler/VuoCompiler.cc b/compiler/VuoCompiler.cc
index 6f281f04..2c7af1af 100644
--- a/compiler/VuoCompiler.cc
+++ b/compiler/VuoCompiler.cc
@@ -1731,7 +1731,7 @@ set<dispatch_group_t> VuoCompiler::Environment::compileModulesFromSourceCode(con
 			__block VuoModuleCompilationQueue::Item *queueItem = moduleCompilationQueue->next();
 			VUserLog("Compiling %s", queueItem->moduleKey.c_str());
 
-			dispatch_async(queue, ^{
+			dispatch_sync(queue, ^{

dreness

Context

macOS (MacBookPro18,2) and iOS (iphone 11 pro) claims the DNS service in my router is flaky, occasionally displaying a dialog accusing me of being offline.

(no, this isn't MaxMSP for iPhone - just a youtube video, settle down...)

This doesn't happen often, but when it does, it's always just after a wake or unlock. The problem is more than cosmetic, though - when it occurs, I am actaully offline on that device until it decides that I'm online again. Usually it doesn't take long, perhaps because I generally don't take this news quietly... OR, maybe recovery is hastened by a background heuristic tasked with mitigating and sharpening the other heuristics, taking a page from the generative adversarial network design... Maybe that sounds far fetched, but I would certainly like to opt into "shake to over-r