zitterbewegung

#!/bin/bash

# Make the script executable
chmod +x install.sh

# Install Python dependencies
echo "Installing Python dependencies from requirements.txt..."
pip install -r requirements.txt

# Check and install Ghidra if needed

zitterbewegung

#!/bin/bash
sudo apt update
sudo apt install fuse libfuse3-dev libicu-dev bzip2 libbz2-dev cmake git libattr1-dev zlib1g-dev g++
sudo snap install cmake --classic

git clone https://github.com/sgan81/apfs-fuse.git
cd apfs-fuse
git submodule init
git submodule update

zitterbewegung

zitterbewegung

$(: !550 ) idle3.10
2023-04-24 14:24:52.856 Python[69630:507872] +[CATransaction synchronize] called within transaction
2023-04-24 14:24:53.243 Python[69630:507872] +[CATransaction synchronize] called within transaction
2023-04-24 14:32:36.062 Python[69630:507872] +[CATransaction synchronize] called within transaction
2023-04-24 14:32:36.076 Python[69630:507872] +[CATransaction synchronize] called within transaction
2023-04-24 14:32:36.168 Python[69630:507872] +[CATransaction synchronize] called within transaction
2023-04-24 14:32:36.179 Python[69630:507872] +[CATransaction synchronize] called within transaction
2023-04-24 14:32:36.184 Python[69630:507872] +[CATransaction synchronize] called within transaction
2023-04-24 14:32:36.195 Python[69630:507872] +[CATransaction synchronize] called within transaction
2023-04-24 14:32:36.201 Python[69630:507872] +[CATransaction synchronize] called within transaction

zitterbewegung

Spanish American French Toast Pizza with a Chinese Twist is an interesting fusion dish that combines elements from different cuisines. Here's a recipe to create this unique dish:

Ingredients:

6 slices of white bread or French baguette
3 eggs
1 cup milk
1/4 cup granulated sugar
1 teaspoon vanilla extract
1/2 teaspoon cinnamon

zitterbewegung

(venv) # Exit:0 2023-03-12 16:59:27  [r2q2@Reformer#[:~/opt/llama.cpp]
$(: !605 ) ./main -m ./models/65B/ggml-model-q4_0.bin -t 8 -n 128
main: seed = 1678658429
llama_model_load: loading model from './models/65B/ggml-model-q4_0.bin' - please wait ...
llama_model_load: n_vocab = 32000
llama_model_load: n_ctx   = 512
llama_model_load: n_embd  = 8192
llama_model_load: n_mult  = 256
llama_model_load: n_head  = 64
llama_model_load: n_layer = 80

zitterbewegung

#!/usr/bin/env python3
from mastodon import Mastodon
import re
import json


def main(api_base_url: str, client_id: str, secret: str,username: str, password:str, tweets= 'tweets.js': str, listed=True: bool)-> str:
	Mastodon.create_app(
		'pytooterapp',
		api_base_url = api_base_url,

zitterbewegung

#!/usr/bin/env python3

from transformers import pipeline                                                                    
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM                                         
import os                                                                                             
import time                                                                                           
import speech_recognition as sr                                                                       
import pyttsx3

zitterbewegung

{
  "query": "http://10.1.10.182:8000/engines/completions?prompt=Create%20a%20story%20about%20The%20virginity%20of%20the%20world%E2%80%99s%20greatest%20gamers.&max_tokens=5000&temperature=0.9&top_p=1&top_k=40&n=1&stream=false&echo=false&presence_penalty=0.0001&frequency_penalty=0.0001&best_of=1&recursive_depth=0&recursive_refresh=0
",
  "id": "",
  "object": "text_completion",
  "created": "",
  "model": "GPT-J-6B",
  "choices": [
    {
      "prompt": "Create a story about The virginity of the world’s greatest gamers.",

zitterbewegung

from transformers import BertModel, BertTokenizer, BertConfig
import torch
import coremltools as ct
import torch
import torchvision


enc = BertTokenizer.from_pretrained("bert-base-uncased")

# Tokenizing input text