Pierce Brooks PierceLBrooks

Introduction

A JSON compilation database is a very handy output format which is parsed and used by many development tools. Unfortunately for us Apple Developers, it is not straightforward to generate one from within Xcode, as it is (probably) not Apple's priority and therefore there is no toggle/switch/setting that can be easily enabled to get this information.

There is however a solution, thanks to Apple using Clang/LLVM as their main toolchain.

Implementation

The standard way to generate this with clang would be to use the -MJ flag and give it a file name that typically corresponds to the input file. Using this flag indirectly through Xcode is hard, given that we're not aware of all the other arguments when a compiler call is executed.

However, there is a second hidden/badly documented LLVM flag: -gen-cdb-fragment-path - it is implemented in terms of -MJ and has the same functionality, but it's argument in contrast is an output directory.

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Character Animation

[https://github.com/ethz-adrl/control-toolbox] Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
[https://github.com/davepagurek/DynamicKelvinlets] Dynamic Kelvinets to add secondary animation
[http://domedb.perception.cs.cmu.edu/monototalcapture.html] Yassar's group's monocular mocap
[https://arxiv.org/abs/1812.11103v3] Learning to Walk via Deep Reinforcement Learning
[https://arxiv.org/abs/1810.02363v4] Recurrent Transition Networks for Character Locomotion
[http://www.andreasaristidou.com/publications/papers/CUEDF-INFENG,%20TR-632.pdf] FABRIK
[https://github.com/dgriff777/a3c_continuous] A3 Continuous Character Controller

	{
	"name" : "Mixamo",
	"url" : "",

	"bones" : {
	"mixamorig:Hips" : "hips",
	"mixamorig:Spine" : "spine",
	"mixamorig:Spine1" : "spine-1",
	"mixamorig:Spine2" : "chest",
	"mixamorig:Neck" : "neck",

	#!/usr/bin/env bash
	# castanet.sh: Script to connect a chromecast to a WiFi network.
	#
	# Allows you to put your Chromecast on WiFi and do Chromecast initial setup
	# without using the Google Home app at all, just using a normal Linux computer.
	#
	# You do need your Chromecast to be on Ethernet, or (untested) to join its setup WiFi
	# network with your PC, and you also need to find out its IP yourself with e.g.
	# Wireshark.

	def create_facemaps(self, object):
	me = object.data
	bm = bmesh.new()
	bm.from_mesh(me)
	bm.select_mode = {'VERT', 'EDGE', 'FACE'}
	bm.verts.ensure_lookup_table()
	bm.faces.ensure_lookup_table()
	fm = bm.faces.layers.face_map.verify()

	group_names = ['InnerShell', 'OuterShell', 'UpperBearingEdge', 'LowerBearingEdge']

	from functools import wraps
	from .bounded_pool_executor import BoundedThreadPoolExecutor
	from .bounded_pool_executor import BoundedProcessPoolExecutor

	_DEFAULT_POOL = BoundedThreadPoolExecutor(max_workers=5)
	_PROCESS_POOL = BoundedProcessPoolExecutor(max_workers=5)

	def threadpool(f, executor=None):
	@wraps(f)
	def wrap(args, *kwargs):

	import multiprocessing
	import concurrent.futures
	import threading

	name = 'bounded_pool_executor'

	class _BoundedPoolExecutor:

	semaphore = None

	# Script for quickbms: https://aluigi.altervista.org/quickbms.htm
	# Extracts *.unity3d files
	# (c) 2021-07-21 by Lichtso

	endian big

	# Header
	idstring "UnityFS"
	Padding 5
	get FILE_VERSION byte

	use std::thread;
	use std::sync::mpsc::{self, TryRecvError};
	use std::io;
	use std::time::Instant;

	struct CircularIter<T> where T: Copy {
	data: Vec<T>,
	index: usize,
	}