| """ | |
| WebKitGTK evaluate_javascript leak test -- v2. | |
| Fixes from v1: | |
| - Properly calls evaluate_javascript_finish() via a GAsyncReadyCallback | |
| (v1 passed None, which left GTask results unconsumed) | |
| - Supports --static-js flag to test with identical JS each eval | |
| (v1 embedded a unique ID in each eval, polluting JSC bytecode cache) | |
| Tests four combinations to isolate the cause: |
Two-file setup that surfaces Claude Code's context window usage as a status line in your terminal and writes it to /tmp so the agent itself can read it.
| File | Location |
|---|---|
~/.claude/settings.json |
Claude Code settings — enables the status line |
~/.claude/statusline-command.sh |
Script that parses and renders context usage |
| <artifacts_info> | |
| The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity. | |
| # Good artifacts are... | |
| - Substantial content (>15 lines) | |
| - Content that the user is likely to modify, iterate on, or take ownership of | |
| - Self-contained, complex content that can be understood on its own, without context from the conversation | |
| - Content intended for eventual use outside the conversation (e.g., reports, emails, presentations) | |
| - Content likely to be referenced or reused multiple times |
| requirements: | |
| host: | |
| - pip | |
| - python >=3.6 | |
| run: | |
| - python >=3.6 | |
| - requests >=2.20.0 | |
| - six >=1.10.0 |
| {% set name = "spotipy" %} | |
| {% set version = "2.16.1" %} | |
| package: | |
| name: {{ name|lower }} | |
| version: {{ version }} | |
| source: | |
| url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spotipy-{{ version }}.tar.gz | |
| sha256: 4564a6b05959deb82acc96a3fe6883db1ad9f8c73b7ff3b9f1f44db43feba0b8 |
| {% set name = "spotipy" %} | |
| {% set version = "2.16.1" %} | |
| package: | |
| name: {{ name|lower }} | |
| version: {{ version }} | |
| source: | |
| url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spotipy-{{ version }}.tar.gz |
| # Note: there are many handy hints in comments in this example -- remove them when you've finalized your recipe | |
| # Jinja variables help maintain the recipe as you'll update the version only here. | |
| # Using the name variable with the URL in line 14 is convenient | |
| # when copying and pasting from another recipe, but not really needed. | |
| {% set name = "simplejson" %} | |
| {% set version = "3.8.2" %} | |
| package: | |
| name: {{ name|lower }} |
| import requests | |
| from bs4 import BeautifulSoup | |
| # open Audible Matchmaker page locally | |
| # (see accompanying Jupyter notebook for details) | |
| infile = open(file='audible_matchmaker.html', mode='r') | |
| # parse the page with BeautifulSoup | |
| soup = BeautifulSoup(markup=infile, features='html.parser') |
| # find all of the spans containing the audiobook price | |
| # (see accompanying Jupyter notebook for details) | |
| upgrade_prices = soup.findAll(name='span', attrs={'class' : 'a-size-base a-color-price a-text-bold'}) | |
| # iterate over each of the book prices | |
| for book in upgrade_prices: | |
| # convert the span price data to a string | |
| price_string = book.string | |
| # remove the dollar sign from the price string | |
| price_string = price_string.replace('$', '') |
| import requests | |
| from bs4 import BeautifulSoup | |
| # open Audible Matchmaker page locally | |
| # (see accompanying Jupyter notebook for details) | |
| infile = open(file='audible_matchmaker.html', mode='r') | |
| # parse the page with BeautifulSoup | |
| soup = BeautifulSoup(markup=infile, features='html.parser') |