Jonas Sander hallojs

## Working GDB on macOS 11.md

      
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                mike-myers-tob
                / Working GDB on macOS 11.md
            
            
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                Steps to get GDB actually working in April 2021 on macOS (Intel x86-64 only)
              
          
    Debug with GDB on macOS 11

The big reason to do this is that LLDB has no ability to "follow-fork-mode child", in other words, a multi-process target that doesn't have a single-process mode (or, a bug that only manifests when in multi-process mode) is going to be difficult or impossible to debug, especially if you have to run the target over and over in order to make the bug manifest. If you have a repeatable bug, no big deal, break on the fork from the parent process and attach to the child in a second lldb instance. Otherwise, read on.
Install GDB

Don't make the mistake of thinking you can just brew install gdb. Currently this is version 10.2 and it's mostly broken, with at least two annoying bugs as of April 29th 2021, but the big one is https://sourceware.org/bugzilla/show_bug.cgi?id=24069
$ xcode-select install  # install the XCode command-line tools

  
## brew-bundle-brewfile-tips.md

      
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                ChristopherA
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                Brew Bundle Brewfile Tips
              
          
    Brew Bundle Brewfile Tips

Copyright & License


Unless otherwise noted (either in this file or in a file's copyright section) the contents of this gist are Copyright ©️2020 by Christopher Allen, and are shared under spdx:Creative Commons Attribution Share Alike 4.0 International (CC-BY-SA-4.) open-source license.

Sponsor


If you more tips and advice like these, you can become a monthly patron on my GitHub Sponsor Page for as little as $5 a month; and your contributions will be multipled, as GitHub is matching the first $5,000!
This gist is all about Homebrew, so if you like it you can support it by donating to them or becoming one of their Github Sponsors.


## encoding_decoding_ckks.ipynb

      
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                dhuynh95
                / encoding_decoding_ckks.ipynb
            
            
              Created
              June 22, 2020 08:57
            
              
                Encoding and decoding in CKKS
              
          
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## installing_nvidia_driver_cuda_cudnn_linux.md

      
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                kmhofmann
                / installing_nvidia_driver_cuda_cudnn_linux.md
            
            
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              May 10, 2024 03:37
            
              
                Installing the NVIDIA driver, CUDA and cuDNN on Linux
              
          
    Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source.
In particular, the aim is to install the following pieces of software

NVIDIA graphics card driver (v450.57)
CUDA (v11.0.2)
cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

  
## rlwe_he_scheme.py
"""A basic homomorphic encryption scheme inspired from BFV https://eprint.iacr.org/2012/144.pdf

You can read my blog post explaining the implementation details here: https://www.ayoub-benaissa.com/blog/build-he-scheme-from-scratch-python/

Disclaimer: This implementation doesn’t neither claim to be secure nor does it follow software engineering best practices,
it is designed as simple as possible for the reader to understand the concepts behind homomorphic encryption schemes.
"""

import numpy as np
from numpy.polynomial import polynomial as poly

## conv2d_as_matmul.ipynb

      
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                hsm207
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                Code to accompany my blog post at https://bit.ly/2KfmQ76
              
          
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## Flake8.txt
How to manually setup flake8 as PyCharm external tool

File / Settings / Tools / External Tools / Add
Name: Flake8
Program: $PyInterpreterDirectory$/python
Parameters: -m flake8 --max-complexity 10 --ignore E501 $FilePath$
Working directory: $ProjectFileDir$

Output Filters / Add
Name: Filter 1

## configure_cuda_p70.md

      
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                alexlee-gk
                / configure_cuda_p70.md
            
            
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              March 19, 2024 17:47
            
              
                Use integrated graphics for display and NVIDIA GPU for CUDA on Ubuntu 14.04
              
          
    This was tested on a ThinkPad P70 laptop with an Intel integrated graphics and an NVIDIA GPU:
lspci | egrep 'VGA|3D'
00:02.0 VGA compatible controller: Intel Corporation Device 191b (rev 06)
01:00.0 VGA compatible controller: NVIDIA Corporation GM204GLM [Quadro M3000M] (rev a1)

A reason to use the integrated graphics for display is if installing the NVIDIA drivers causes the display to stop working properly.
In my case, Ubuntu would get stuck in a login loop after installing the NVIDIA drivers.
This happened regardless if I installed the drivers from the "Additional Drivers" tab in "System Settings" or the ppa:graphics-drivers/ppa in the command-line.

  
## Makefile
CC := g++
CFLAGS := -Wall -g
TARGET := test

# $(wildcard *.cpp /xxx/xxx/*.cpp): get all .cpp files from the current directory and dir "/xxx/xxx/"
SRCS := $(wildcard *.cpp)
# $(patsubst %.cpp,%.o,$(SRCS)): substitute all ".cpp" file name strings to ".o" file name strings
OBJS := $(patsubst %.cpp,%.o,$(SRCS))

all: $(TARGET)

## iterm2.md

      
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                squarism
                / iterm2.md
            
            
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              May 19, 2024 21:32
            
              
                An iTerm2 Cheatsheet
              
          
    Tabs and Windows


Function
Shortcut


New Tab
⌘ + T


Close Tab or Window
⌘ + W  (same as many mac apps)


Go to Tab
⌘ + Number Key  (ie: ⌘2 is 2nd tab)


Go to Split Pane by Direction
⌘ + Option + Arrow Key


Cycle iTerm Windows
⌘ + backtick (true of all mac apps and works with desktops/mission control)
	"""A basic homomorphic encryption scheme inspired from BFV https://eprint.iacr.org/2012/144.pdf

	You can read my blog post explaining the implementation details here: https://www.ayoub-benaissa.com/blog/build-he-scheme-from-scratch-python/

	Disclaimer: This implementation doesn’t neither claim to be secure nor does it follow software engineering best practices,
	it is designed as simple as possible for the reader to understand the concepts behind homomorphic encryption schemes.
	"""

	import numpy as np
	from numpy.polynomial import polynomial as poly
	How to manually setup flake8 as PyCharm external tool

	File / Settings / Tools / External Tools / Add
	Name: Flake8
	Program: $PyInterpreterDirectory$/python
	Parameters: -m flake8 --max-complexity 10 --ignore E501 $FilePath$
	Working directory: $ProjectFileDir$

	Output Filters / Add
	Name: Filter 1
	CC := g++
	CFLAGS := -Wall -g
	TARGET := test

	# $(wildcard .cpp /xxx/xxx/.cpp): get all .cpp files from the current directory and dir "/xxx/xxx/"
	SRCS := $(wildcard *.cpp)
	# $(patsubst %.cpp,%.o,$(SRCS)): substitute all ".cpp" file name strings to ".o" file name strings
	OBJS := $(patsubst %.cpp,%.o,$(SRCS))

	all: $(TARGET)
Function	Shortcut
New Tab	`⌘` + `T`
Close Tab or Window	`⌘` + `W` (same as many mac apps)
Go to Tab	`⌘` + `Number Key` (ie: `⌘2` is 2nd tab)
Go to Split Pane by Direction	`⌘` + `Option` + `Arrow Key`
Cycle iTerm Windows	`⌘` + `backtick` (true of all mac apps and works with desktops/mission control)