[How To] Install Pyfhel in macOS

 

• Tested on Intel-based (x86_64) MacBook, not tested on M1/M2 (ARM)
• Apple Clang does not support -fopenmp and -libseal, use GCC or CLANG

1. % git clone --recursive https://github.com/ibarrond/Pyfhel

2.a) create requirements.txt file

  "setuptools<=60.9",
  "wheel",
  "cython>=3.0.0a9",
  "numpy>=1.20",
  "cmake>=3.15",
  "toml>=0.10"

2.b) % pip3 install -r requirements.txt

3. edit pyproject.toml

Line #111 [Afhel]

extra_compile_args

• {Darwin = ["-std=c++17","-O3","-fopenmp"]},

extra_link_args

• {Darwin = ["-fopenmp","-dynamiclib"]},

Repeat the above for [CYTHON EXTENSIONS]

[Solved] Jupyter notebook raises Module Not Found Error

I recently ran into issues on my MacBook with Jupyter notebooks, where it could not find any packages and was throwing "ModuleNotFoundError: No module named ****" for several libraries. I already had these packages installed but somehow Jupyter python kernel could not find it. I tried to install these packages in the notebook cells with the command !pip install **** but this did not help either. I also tried %brew reinstall jupyterlab and that did not work as well.

Finally, I found a fix.

Solution:

Step-1: Install/upgrade jupyter packages:

% pip3 install --upgrade jupyter notebook jupyterlab

Step-2: Run jupyter with this command:

% jupyter-lab

[Solved] ld: library not found for -lntl

NTL: A Library for doing Number Theory

NTL is a high-performance, portable C++ library providing data structures and algorithms for manipulating signed, arbitrary length integers and for vectors, matrices, and polynomials over the integers and over finite fields.

You might face a linking error with NTL in macOS using the Apple Clang compiler:

% make                               

Consolidate compiler generated dependencies of target degrees

[ 25%] Linking CXX executable degrees

ld: library not found for -lntl

clang: error: linker command failed with exit code 1 (use -v to see invocation)

Solution:

% brew install NTL

% export LIBRARY_PATH=/usr/local/lib

% make

[How To] Run MinimaxComp_degrees in macOS

MinimaxComp_degrees

This algorithm finds optimized degrees for comparison/max/ReLU algorithms using minimax composite polynomial on the RNS-CKKS scheme, which was proposed in https://ieeexplore.ieee.org/document/9517029 and https://eprint.iacr.org/2021/1215.

How to run on macOS using the Apple Clang compiler:

1. % brew install NTL

2. % export LIBRARY_PATH=/usr/local/lib

3. % git clone https://github.com/eslee3209/MinimaxComp_degrees

4. % cd MinimaxComp_degrees

5. % cmake -S . -B build

6. % cd build

7. % make

8. % ./degrees

Output:

------------------------------------

alpha: 20

epsilon: 0.2002716064453125e-4

mintime: 162

depth: 22

0.39825903512705770933e-4

7 13 15 15 59 

[How To] Install CRC RevEng on macOS

CRC RevEng

CRC RevEng is a portable, arbitrary-precision CRC calculator and algorithm finder. It calculates CRCs using any 111 preset algorithms or a user-specified algorithm to any width. It calculates reversed CRCs to give the bit pattern that produces a desired forward CRC. CRC RevEng also reverse-engineers any CRC algorithm from good, correctly formatted message-CRC pairs and optional known parameters. It comprises powerful input interpretation options.

Installation instructions for macOS:

1. Download reveng from SourceForge: https://sourceforge.net/projects/reveng/files/

2. Unzip the downloaded reveng zip file

3. % cd Downloads/reveng-3.0.3

4. % make

gcc -O3 -Wall -ansi -fomit-frame-pointer -DPRESETS -DBMPTST -o bmptst bmpbit.c

( ./bmptst && touch bmptst ) || ( rm bmptst bmptst.exe && false )

reveng: configuration fault.  Update config.h with these definitions and recompile:

#define BMP_BIT   64

#define BMP_SUB   32

rm: bmptst.exe: No such file or directory

make: *** [bmptst] Error 1

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[Solved] frame.append method is deprecated and will be removed from pandas

Code:

all_results = all_results.append(current_result)

Error:

/var/folders/wh/tdg0ff9s1wl59234d5l27_gc0000gn/T/ipykernel_98654/2691205834.py:15: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
  all_results = all_results.append(current_result)

Fix:

all_results = pd.concat([all_results, current_result])

[Solved] seaborn: decrease the size of the markers

Code:

ax = sns.swarmplot(y="time_taken", x="dtype", data=all_results, color=".25")

Error:

/usr/local/Cellar/jupyterlab/3.3.2/libexec/lib/python3.9/site-packages/seaborn/categorical.py:1296: UserWarning: 35.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

Fix:

ax = sns.swarmplot(y="time_taken", x="dtype", data=all_results, color=".25", size=3.25)