tempit

Python decorator for precise measurement of function execution time

A new way for AI to search for data
View on GitHub
4GitHub stars
59commits on main
0forks
1.0.0latest release, 2026-10-13

Python 96.2%, Makefile 3.8% · created 2024-05-08 · last push 2026-10-13

What XERJ indexed

Snapshot

22 files · 231.2 KB

The whole repository at commit d710a171aa. It is the newest commit on main.

Selected work

Mario Crespo
@mcrespoae

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-29. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

benchmarkingdecorators-pythonpythontime-measurement

Example questions

The prompt

Paste it into your AI agent. It clones mcrespoae/tempit at the pinned commit and indexes it on your machine.

Search the GitHub repository mcrespoae/tempit with XERJ (https://hub.xerj.org/corpus/mcrespoae--tempit).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/mcrespoae/tempit tempit && git -C tempit checkout d710a171aaae35422ffa7a778d8a55b806db7b27
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./tempit --url http://127.0.0.1:9200 --prefix tempit --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.