notbugAs an Amazon Associate I earn from qualifying purchases.
Want a good read? Try FreeBSD Mastery: Jails (IT Mastery Book 15)
Want a good monitor light? See my photosAll times are UTC
Ukraine
This referral link gives you 10% off a Fastmail.com account and gives me a discount on my Fastmail account.

Get notified when packages are built

A new feature has been added. FreshPorts already tracks package built by the FreeBSD project. This information is displayed on each port page. You can now get an email when FreshPorts notices a new package is available for something on one of your watch lists. However, you must opt into that. Click on Report Subscriptions on the right, and New Package Notification box, and click on Update.

Finally, under Watch Lists, click on ABI Package Subscriptions to select your ABI (e.g. FreeBSD:14:amd64) & package set (latest/quarterly) combination for a given watch list. This is what FreshPorts will look for.

non port: devel/py-tinyarray/distinfo

Number of commits found: 6

Friday, 24 Dec 2021
07:13 Wen Heping (wen) search for other commits by this committer
devel/py-tinyarray: Update to 1.2.4
commit hash: 2565d3548ed1fe8ae92bcf3ff4d59f1c7c1a37eb commit hash: 2565d3548ed1fe8ae92bcf3ff4d59f1c7c1a37eb commit hash: 2565d3548ed1fe8ae92bcf3ff4d59f1c7c1a37eb commit hash: 2565d3548ed1fe8ae92bcf3ff4d59f1c7c1a37eb 2565d35
Monday, 28 Sep 2020
01:39 wen search for other commits by this committer
- Update to 1.2.3
Original commitRevision:550388 
Tuesday, 18 Feb 2020
09:23 wen search for other commits by this committer
- Update to 1.2.2
Original commitRevision:526445 
Friday, 28 Sep 2018
12:05 wen search for other commits by this committer
- Update to 1.2.1
Original commitRevision:480855 
Monday, 15 May 2017
00:26 wen search for other commits by this committer
- Update to 1.2.0
Original commitRevision:440906 
Friday, 26 Feb 2016
01:59 wen search for other commits by this committer
Tinyarrays are similar to NumPy arrays, but optimized for small
sizes. Common operations on very small arrays are to 3-7 times
faster than with NumPy (with NumPy 1.6 it used to be up to 35
times), and 3 times less memory is used to store them. Tinyarrays
are useful if you need many small arrays of numbers, and cannot
combine them into a few large ones. (The resulting code is still
much slower than C, but it may now be fast enough.)

WWW: https://gitlab.kwant-project.org/kwant/tinyarray
Original commitRevision:409572 

Number of commits found: 6