glenn-jocher

# Ultralytics YOLO 🚀, GPL-3.0 license
# https://gist.github.com/glenn-jocher/85b1fe5325d73971783e16b7721b81f7

import contextlib
import re
import warnings
from collections import Counter

import requests
from tqdm import tqdm

glenn-jocher

"""
Python Files Analyzer

This script analyzes Python files in a given GitHub repo, excluding specified sub-directories.
It counts and reports the following for each file:
- Total number of characters
- Total number of words
- Total number of lines
- Total number of functions (based on the 'def' keyword)
- Total number of classes (based on the 'class' keyword)

glenn-jocher

"""
This script recursively scans Python files within a specified directory to identify functions and classes 
that lack docstrings. 

Features:
- Can navigate deeply nested directory structures to analyze all `.py` files.
- Allows for specific directories (like `venv` or `runs`) to be excluded from the scan.
- For each missing docstring, the script outputs the file path and the specific function or class declaration.
- Provides a summary count of total functions/classes analyzed, how many have docstrings, and how many are missing them.
- Offers an overview of the number of missing docstrings categorized by the top-level directory.

glenn-jocher

"""
iOS App Store Preview Image Resizer

This script provides functionality to resize images for iOS app store previews. It offers two modes for resizing:
- "pad": This mode will pad the image with white space to fit the target dimensions without cropping.
- "crop": This mode will crop the image to match the target aspect ratio, then resize it to the exact target dimensions.

Usage:
- Modify the `input_dir` variable to point to the directory containing the images you want to resize.
- The script will create output directories named with the target dimensions and the device name.

glenn-jocher

# M3 Macbook Air results:
# Average Threading Time: 0.38 seconds
# Average Multiprocessing Time: 2.39 seconds
# Average Concurrent Futures (ThreadPool) Time: 0.34 seconds
# Average Concurrent Futures (ProcessPool) Time: 2.39 seconds


import time
import torch
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor