Package: python-tinyarray
Source: tinyarray
Version: 1.2.1-2
Architecture: i386
Maintainer: Christoph Groth <christoph.groth@cea.fr>
Installed-Size: 173
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_i386.deb
Size: 47572
SHA256: 27358899b1854d2b7ed2fa486154ac3c42e07d3261b41d99b7b090a4c7995b66
SHA1: bfbf7bd80c4c5fd5e52dc0e9bc8b030d5c4bd9e1
MD5sum: 53d2fb008833c099f2b579e653d00be0
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: i386
Maintainer: Christoph Groth <christoph.groth@cea.fr>
Installed-Size: 240
Depends: python-tinyarray (= 1.2.1-2)
Priority: optional
Section: debug
Filename: pool/main/t/tinyarray/python-tinyarray-dbgsym_1.2.1-2_i386.deb
Size: 214128
SHA256: cdd9e233eaf1f50de788a1ab565ec82878f75eaa4a698b53f0d9e25290fbca26
SHA1: 138ac7bcfd18fac068f5ddc4684e0fc2df1b6208
MD5sum: dd1bb1e3b7d407daa802a2aa781e4735
Description: debug symbols for python-tinyarray
Build-Ids: 85c021598e9ce092f48a132881afc906559a9016

Package: python3-tinyarray
Source: tinyarray
Version: 1.2.1-2
Architecture: i386
Maintainer: Christoph Groth <christoph.groth@cea.fr>
Installed-Size: 138
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_i386.deb
Size: 40960
SHA256: 42c717a6db3c2c8a96495c58f78cb62aff9f5c3343383e4baafc95332ada33ed
SHA1: 972ce1de26d175085b1f2ceadb7bed314ed94076
MD5sum: 59d80654737e427737b6227df88b2554
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: i386
Maintainer: Christoph Groth <christoph.groth@cea.fr>
Installed-Size: 230
Depends: python3-tinyarray (= 1.2.1-2)
Priority: optional
Section: debug
Filename: pool/main/t/tinyarray/python3-tinyarray-dbgsym_1.2.1-2_i386.deb
Size: 203412
SHA256: b5f7da16cd9b4a7c1be05aa6ead17ec1a55b296f69362644611ce7eb9f73b024
SHA1: 4a00e4b75d4c602da2e1782fc0439f3cd7a22b42
MD5sum: 03362585b25ad07276933a0bb6577c65
Description: debug symbols for python3-tinyarray
Build-Ids: 6da576c9019e83f24bd23f5a59d465d1c392ed45