CypherpunkSamurai

Make Reddit clients Alive again !!

Reddit has imposed paid API limits and that compelled developers to shutodwn their clients.
But There is a way you can Keep using your favourite reddit Client.

Obtaining Client ID

Step 1: Navigate to this page.

CypherpunkSamurai

Fonts for Programming

• Fira Code
• Plex
• Pragmata Pro
• Iosevka

CypherpunkSamurai

git change author for all commit

change author from

git filter-branch -f --env-filter "GIT_AUTHOR_NAME='me' GIT_AUTHOR_EMAIL='me@gmail.com' GIT_COMMITTER_NAME='me_old' GIT_COMMITTER_EMAIL='me_old@gmail.com'" HEAD

CypherpunkSamurai

Find Subclasses from a .py file without importing it using ast

We have .py file that has source code which includes inherited classes. We want to properly parse the file and determine the inherited classes are correct before we import the file.

How to approach the problem?

We have ast module in python which provides utility to parse the program as a tree and traverse through it. The ast.parse(source_code) returns a ast.Module object that is a tree of objects. We then traverse the tree to find ast.ClassDef objects that are classes. We then check for class.bases[] which is an array of superclass references for that class. We iterate though that to find ast.Attribute objects that are package attributes of the class package etc (unittest.Test here unittest is an attribute). We then find ast.Name object that contains the superclass name.

Using recursion (suggested)

CypherpunkSamurai

Decrypt a PDF on Windows

1. Go to https://soft.rubypdf.com/software/qpdf
2. Download the zip build
3. Copy the PDF to the folder where you extracted this
4. Type the command in cmd.exe qpdf.exe encrypted.pdf decrypted.pdf --decrypt --password="PasswordHere123"

Credit:

• https://gist.github.com/kjlubick/5e17c905b64dd545af81

CypherpunkSamurai

A good commit message looks like this:

Header line: explain the commit in one line (use the imperative)

Body of commit message is a few lines of text, explaining things
in more detail, possibly giving some background about the issue
being fixed, etc.

The body of the commit message can be several paragraphs, and

please do proper word-wrap and keep columns shorter than about

CypherpunkSamurai

OpenSUSE

# https://www.cyberciti.biz/faq/set-up-a-firewall-using-firewalld-on-opensuse-linux/

# If Not Installed
sudo zypper ref
sudo zypper update
sudo zypper install firewalld
sudo systemctl enable firewalld

CypherpunkSamurai

https://stackoverflow.com/questions/5495492/random-byte-string-in-python

CypherpunkSamurai

# Install bitsandbytes:
# `nvcc --version` to get CUDA version.
# `pip install -i https://test.pypi.org/simple/ bitsandbytes-cudaXXX` to install for current CUDA.
# Example Usage:
# Single GPU: torchrun --nproc_per_node=1 trainer/diffusers_trainer.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam=True --gradient_checkpointing=True --batch_size=1 --fp16=True --image_log_steps=250 --epochs=20 --resolution=768 --use_ema=True
# Multiple GPUs: torchrun --nproc_per_node=N trainer/diffusers_trainer.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam=True --gradient_checkpointing=True --batch_size=10 --fp16=True --image_log_steps=250 --epochs=20 --resolution=768 --use_ema=True

import argparse
import socket
import torch

CypherpunkSamurai

# Install bitsandbytes:
# `nvcc --version` to get CUDA version.
# `pip install -i https://test.pypi.org/simple/ bitsandbytes-cudaXXX` to install for current CUDA.
# Example Usage:
# Single GPU: torchrun --nproc_per_node=1 trainer/diffusers_trainer.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam=True --gradient_checkpointing=True --batch_size=1 --fp16=True --image_log_steps=250 --epochs=20 --resolution=768 --use_ema=True
# Multiple GPUs: torchrun --nproc_per_node=N trainer/diffusers_trainer.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam=True --gradient_checkpointing=True --batch_size=10 --fp16=True --image_log_steps=250 --epochs=20 --resolution=768 --use_ema=True

import argparse
import socket
import sys