# 0. Disable built-in Apache
sudo apachectl stop
sudo launchctl unload -w /System/Library/LaunchDaemons/org.apache.httpd.plist 2>/dev/null
# 1. Install httpd
brew install httpd
Discover gists
Shared memory is an efficient means of passing data between programs. Because two or more processes can use the same memory space, it has been discovered that, since shared memory is, by default, mounted as read/write
, the /run/shm
space can be easily exploited.
That translates to a weakened state of security.
If you’re unaware, shared memory can be used in an attack against a running service. Because of this, you’ll want to secure that portion of system memory.
This module implements some utility functions to search some shapes (formulas, symbols) inside a Tex (or MathTex) mobject.
The approach is to compare the shapes (bezier curves) of the symbols, instead of the particular strings that produced them.
This approach is generic and avoids the use of other manim mechanisms that would break under some circunstances, such as
the presence of \frac{}{}
in a formula.
The function you would probably want to use is group_shapes_in_tex()
. Despite the confusing name, the goal is to
find all the occurences of a given symbol (or group of symbols, or list of symbols) inside a Tex mobject, and return a VGroup containing them
Visual Studio 2022 | |
Enterprise : | |
VHF9H-NXBBB-638P6-6JHCY-88JWH | |
Professional: | |
TD244-P4NB7-YQ6XK-Y8MMM-YWV2J |
Note: I have moved this list to a proper repository. I'll leave this gist up, but it won't be updated. To submit an idea, open a PR on the repo.
Note that I have not tried all of these personally, and cannot and do not vouch for all of the tools listed here. In most cases, the descriptions here are copied directly from their code repos. Some may have been abandoned. Investigate before installing/using.
The ones I use regularly include: bat, dust, fd, fend, hyperfine, miniserve, ripgrep, just, cargo-audit and cargo-wipe.
You can run this program on any LMC emulator, such as http://peterhigginson.co.uk/LMC/
LMC, which stands for Little Man Computer is a model of a computer, used to teach students how CPUs work. Read More.
Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggerganov/llama.cpp#5962
In the meantime, use the largest that fully fits in your GPU. If you can comfortably fit Q4_K_S, try using a model with more parameters.
See the wiki upstream: https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix
[loggers] | |
keys=root,app,uvicorn | |
[handlers] | |
keys=console,file,uvicorn | |
[formatters] | |
keys=console,file | |
[logger_root] |
FILE SPACING: | |
# double space a file | |
sed G | |
# double space a file which already has blank lines in it. Output file | |
# should contain no more than one blank line between lines of text. | |
sed '/^$/d;G' |
const RANDOM_MEMO_SETTINGS = { | |
// Amount of memos to cache | |
memoAmount: 100, | |
// Kinds of memos to cache: PUBLIC = visible to everyone, PROTECTED = logged in users, PRIVATE = only the creator | |
memoKinds: ["PUBLIC", "PROTECTED", "PRIVATE"], | |
// Time in minutes to cache the memos | |
memoCacheTimeMinutes: 60, | |
// Username of the memo creator to filter the memos | |
memoCreatorUsername: "", | |
// Button text |