openSUSE:Slowroll

Slowroll

https://en.opensuse.org/openSUSE:Slowroll = a derivative codestream of openSUSE:Factory that uses automated rules to limit the rate of change to the codebase Release manager: bmwiedemann https://www.zq1.de/~bernhard/linux/opensuse/slowroll/slowroll-vs-tumbleweed-updates.svg https://download.opensuse.org/update/slowroll/repo/oss/ openSUSE:Slowroll:Base

base snapshot from Tumbleweed

This provides an easy-to-use redirect for both sources and binaries in openSUSE:Slowroll:Base:N, switching every cycle (every month) https://download.opensuse.org/repositories/openSUSE:/Slowroll:/Base/standard/ openSUSE:Slowroll:Base:1

staging area for new Base snapshot from Tumbleweed

Before a version bump, I collect i586 and bootstrap binaries here. These are missing in released Tumbleweed snapshots, but are needed for building packages. Also binaries required for DVD builds, because product-builder cannot use those from download-on-demand (dod) https://download.opensuse.org/repositories/openSUSE:/Slowroll:/Base:/1/standard/ openSUSE:Tumbleweed

Tumbleweed

Tumbleweed is the openSUSE Rolling Release This OBS Project represents the content of the currently published snapshot. The newer repository for next publish can be found in openSUSE:Factory standard repository. https://download.opensuse.org/repositories/openSUSE:/Tumbleweed/slowroll/ python-tinyarray

Arrays of numbers for Python, optimized for small sizes

Tinyarrays are similar to NumPy arrays, but optimized for small sizes. Tinyarrays support mathematical operations like element-wise addition and matrix multiplication. Tinyarrays can be used as dictionary keys because they are hashable and immutable. Tinyarrays are useful if you need many small arrays of numbers, and cannot combine them into a few large ones. Common operations on very small arrays are faster than with NumPy, and less memory is used to store them.