cast42’s gists

epicserve / timeit.py

Created November 5, 2025 14:02

Example of using the rich library for a timing context manager

	import time
	from contextlib import contextmanager
	from datetime import timedelta

	from rich.align import Align
	from rich.columns import Columns
	from rich.console import Console
	from rich.padding import Padding
	from rich.style import Style
	from rich.text import Text

awni / mem.py

Last active September 23, 2025 06:01

Remember with MLX LM

	import argparse
	import copy
	import mlx.core as mx
	from pathlib import Path

	from mlx_lm import load, stream_generate
	from mlx_lm.generate import generate_step
	from mlx_lm.models.cache import make_prompt_cache

	DEFAULT_MAX_TOKENS = 2048

pszemraj / async_pipeline.py

Last active August 6, 2025 17:08

Standalone Asynchronous RolmOCR Inference Script using vLLM and PyMuPDF.

	#!/usr/bin/env python
	# -- coding: utf-8 --
	"""
	Standalone Asynchronous RolmOCR Inference Script using vLLM and PyMuPDF.

	This script processes PDF files from an input directory using the
	reducto/RolmOCR model served locally by vLLM via its OpenAI-compatible API.
	It renders each page, sends API requests concurrently for OCR, extracts plain
	text, and saves the combined text for each PDF into a corresponding .txt file
	in the specified output directory.

grahama1970 / agent_bubble.py

Last active July 26, 2025 21:51

Dynamic, safe, self-contained Python execution environment using bubblewrap & uv. Generates code/requirements on-the-fly, creates an isolated persistent venv, and lays the groundwork for an LLM-driven adaptive system that installs only needed packages.

	#!/usr/bin/env python3
	"""
	Dynamic and Adaptive Python Environment in a Bubblewrap Sandbox

	Overview:
	This project demonstrates a minimal, safe, and self-contained Python execution
	environment using bubblewrap (bwrap) and uv. The goal is to provide a lightweight
	alternative to Docker for running agent code—in this case, dynamically generated
	Python code along with its dependencies—within an isolated sandbox.

RobertTLange / twitter.py

Last active November 15, 2024 17:09

Twitter API Example

	import tweepy
	import os
	from typing import List, Optional


	class TwitterClient:
	def __init__(
	self,
	consumer_key: str,
	consumer_secret: str,

kylemcdonald / function-calling.ipynb

Created June 14, 2023 01:10

Example of OpenAI function calling API to extract data from LAPD newsroom articles.

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ttomasz / google_sheets_example.py

Created May 24, 2023 19:16

Query Google Spreadsheet directly using Duckdb and Fabduckdb extension

	import duckdb
	import fabduckdb
	import gspread
	import pandas as pd


	def read_gsheet(service_account_json_path: str, gsheets_url: str, worksheet_name: str) -> pd.DataFrame:
	gc = gspread.service_account(filename=service_account_json_path, scopes=gspread.auth.READONLY_SCOPES)
	gsheet = gc.open_by_url(gsheets_url)
	data = gsheet.worksheet(worksheet_name).get_all_records()

shawwn / adam.py

Last active February 15, 2023 19:48

Reformulating Adam optimizer to gain an intuition about what it's doing.

	def lerp(a, b, t):
	return (b - a) * t + a

	def bias(i, x, beta):
	return 1 - jnp.asarray(beta, x.dtype) ** (i + 1)

	@optimizer
	def adam(step_size, b1=0.9, b2=0.999, eps=1e-8) -> OptimizerResult:
	"""Construct optimizer triple for Adam.

Olshansk / video_to_gif.sh

Last active January 12, 2023 13:35

A handy bash function to convert a video (e.g. a screen cap) to a gif using ffmpeg in your shell

	function video_to_gif {
	local input_video_path="$1"
	local output_gif_path="$2"
	local fps="${3:-10}"
	local scale="${4:-1080}"
	local loop="${5:-0}"

	ffmpeg -i "${input_video_path}" -vf "setpts=PTS/1,fps=${fps},scale=${scale}:-2:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" -loop $loop "${output_gif_path}"
	}

jakevdp / jax_vmap.ipynb

Last active January 12, 2023 01:57

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