How to Install and Uninstall python2-lazyarray Package on openSUSE Leap
Last updated: February 01,2025
Deprecated! Installation of this package may no longer be supported.
1. Install "python2-lazyarray" package
This tutorial shows how to install python2-lazyarray on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python2-lazyarray
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2. Uninstall "python2-lazyarray" package
Learn how to uninstall python2-lazyarray on openSUSE Leap:
$
sudo zypper remove
python2-lazyarray
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3. Information about the python2-lazyarray package on openSUSE Leap
Information for package python2-lazyarray:
------------------------------------------
Repository : Main Repository
Name : python2-lazyarray
Version : 0.3.3-bp153.1.17
Arch : noarch
Vendor : openSUSE
Installed Size : 69,9 KiB
Installed : No
Status : not installed
Source package : python-lazyarray-0.3.3-bp153.1.17.src
Summary : Lazily-evaluated numerical array class, compatible with NumPy arrays
Description :
lazyarray is a Python package that provides a lazily-evaluated numerical array
class, larray, based on and compatible with NumPy arrays.
Lazy evaluation means that any operations on the array (potentially including
array construction) are not performed immediately, but are delayed until
evaluation is specifically requested. Evaluation of only parts of the array is
also possible.
Use of an larray`can potentially save considerable computation time
and memory in cases where:
* arrays are used conditionally (i.e. there are cases in which the array is
never used)
* only parts of an array are used (for example in distributed computation,
in which each MPI node operates on a subset of the elements of the array)
------------------------------------------
Repository : Main Repository
Name : python2-lazyarray
Version : 0.3.3-bp153.1.17
Arch : noarch
Vendor : openSUSE
Installed Size : 69,9 KiB
Installed : No
Status : not installed
Source package : python-lazyarray-0.3.3-bp153.1.17.src
Summary : Lazily-evaluated numerical array class, compatible with NumPy arrays
Description :
lazyarray is a Python package that provides a lazily-evaluated numerical array
class, larray, based on and compatible with NumPy arrays.
Lazy evaluation means that any operations on the array (potentially including
array construction) are not performed immediately, but are delayed until
evaluation is specifically requested. Evaluation of only parts of the array is
also possible.
Use of an larray`can potentially save considerable computation time
and memory in cases where:
* arrays are used conditionally (i.e. there are cases in which the array is
never used)
* only parts of an array are used (for example in distributed computation,
in which each MPI node operates on a subset of the elements of the array)