Package: python-tinyarray
Source: tinyarray
Version: 1.2.1-2
Architecture: amd64
Maintainer: Christoph Groth <christoph.groth@cea.fr>
Installed-Size: 169
Depends: python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~), libc6 (>= 2.4), libgcc1 (>= 1:4.0), libstdc++6 (>= 5.2)
Homepage: http://kwant-project.org/tinyarray/
Priority: optional
Section: python
Filename: pool/main/t/tinyarray/python-tinyarray_1.2.1-2_amd64.deb
Size: 45556
SHA256: 8c6d156bdebb30011d3d9f6ac85826859a4e8dde195d2e2348695db65a0a4605
SHA1: b167c485610f32bd9e2d65d1b75dd04e0497abf7
MD5sum: c3dafc639d88851c4bae95e83b69fd32
Description: Arrays of numbers, optimized for small sizes (Python 2)
 Tinyarray is a numerical array module for Python.  The multi-dimensional
 arrays it provides are best thought of as (possibly nested) tuples of numbers
 that, unlike Python's built-in tuples, support mathematical operations.  Like
 tuples, tinyarrays are hashable and immutable and thus can be used as
 dictionary keys.  The module's interface is a subset of that of NumPy and
 hence should be familiar to many Python programmers.  Tinyarray has been
 heavily optimized for small arrays: For example, common operations on 1-d
 arrays of length 3 run 3-7 times faster than with NumPy.  When storing many
 small arrays, memory consumption is reduced by a factor of 3.  In summary,
 Tinyarray is a more efficient alternative to NumPy when many separate small
 numerical arrays are to be used.
 .
 This package installs the library for Python 2.

Package: python-tinyarray-dbgsym
Source: tinyarray
Version: 1.2.1-2
Auto-Built-Package: debug-symbols
Architecture: amd64
Maintainer: Christoph Groth <christoph.groth@cea.fr>
Installed-Size: 262
Depends: python-tinyarray (= 1.2.1-2)
Priority: optional
Section: debug
Filename: pool/main/t/tinyarray/python-tinyarray-dbgsym_1.2.1-2_amd64.deb
Size: 232800
SHA256: fb3ec8aea0c97a30263b31476e8ed72eae0d70aefff983e40979e60da81ec9f4
SHA1: 052c8e2b9ae1f546f95edae7b801340eed6e156e
MD5sum: ae029914b875827d42be93729d25358a
Description: debug symbols for python-tinyarray
Build-Ids: d61153ffdb28bb2789bbc3602fc190e582cee021

Package: python3-tinyarray
Source: tinyarray
Version: 1.2.1-2
Architecture: amd64
Maintainer: Christoph Groth <christoph.groth@cea.fr>
Installed-Size: 142
Depends: python3 (<< 3.8), python3 (>= 3.7~), python3:any (>= 3.4~), libc6 (>= 2.4), libgcc1 (>= 1:4.0), libstdc++6 (>= 5.2)
Homepage: http://kwant-project.org/tinyarray/
Priority: optional
Section: python
Filename: pool/main/t/tinyarray/python3-tinyarray_1.2.1-2_amd64.deb
Size: 38128
SHA256: 05c93770b003467ae2708bc592560f304ed5fedc8bae04e58e9cc09411dbe0ed
SHA1: 1f7d05bfb6b73ca801af0c6690ca94b7b5942443
MD5sum: f57cd1df3cc4cd62749f2fdb5b7933b3
Description: Arrays of numbers, optimized for small sizes (Python 3)
 Tinyarray is a numerical array module for Python.  The multi-dimensional
 arrays it provides are best thought of as (possibly nested) tuples of numbers
 that, unlike Python's built-in tuples, support mathematical operations.  Like
 tuples, tinyarrays are hashable and immutable and thus can be used as
 dictionary keys.  The module's interface is a subset of that of NumPy and
 hence should be familiar to many Python programmers.  Tinyarray has been
 heavily optimized for small arrays: For example, common operations on 1-d
 arrays of length 3 run 3-7 times faster than with NumPy.  When storing many
 small arrays, memory consumption is reduced by a factor of 3.  In summary,
 Tinyarray is a more efficient alternative to NumPy when many separate small
 numerical arrays are to be used.
 .
 This package installs the library for Python 3.

Package: python3-tinyarray-dbgsym
Source: tinyarray
Version: 1.2.1-2
Auto-Built-Package: debug-symbols
Architecture: amd64
Maintainer: Christoph Groth <christoph.groth@cea.fr>
Installed-Size: 248
Depends: python3-tinyarray (= 1.2.1-2)
Priority: optional
Section: debug
Filename: pool/main/t/tinyarray/python3-tinyarray-dbgsym_1.2.1-2_amd64.deb
Size: 217728
SHA256: ac28929ba3ac21cf2ace75663d3bc86b5cf18ecb31d10ee97d92cef6e30e9ae4
SHA1: 7cd94d821212127c39b25e0c549555ae6a17ef0e
MD5sum: f035c37cf2a8f9b99c9f545878e144f3
Description: debug symbols for python3-tinyarray
Build-Ids: 45dd4e51e174011b40dd238e5514193bf0331e12