Name : python-Biggus
| |
Version : 0.10.0
| Vendor : obs://build_opensuse_org/home:smarty12
|
Release : lp150.1.1
| Date : 2018-05-01 20:37:55
|
Group : Development/Languages/Python
| Source RPM : python-Biggus-0.10.0-lp150.1.1.src.rpm
|
Size : 0.57 MB
| |
Packager : (none)
| |
Summary : Virtual large arrays and lazy evaluation
|
Description :
Virtual large arrays and lazy evaluation.
For example, we can combine multiple array data sources into a single virtual array::
>>> first_time_series = OrthoArrayAdapter(hdf_var_a) >>> second_time_series = OrthoArrayAdapater(hdf_var_b) >>> print first_time_series.shape, second_time_series.shape (52000, 800, 600) (56000, 800, 600) >>> time_series = biggus.LinearMosaic([first_time_series, second_time_series], axis=0) >>> time_series < LinearMosaic shape=(108000, 800, 600) dtype=dtype(\'float32\')>
*Any* biggus Array can then be indexed, independent of underlying data sources::
>>> time_series[51999:52001, 10, 12] < LinearMosaic shape=(2,) dtype=dtype(\'float32\')>
And an Array can be converted to a numpy ndarray on demand::
>>> time_series[51999:52001, 10, 12].ndarray() array([ 0.72151309, 0.54654914], dtype=float32)
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/home:/smarty12:/Python/openSUSE_Leap_15.0/noarch |
Hmm ... It's impossible ;-) This RPM doesn't exist on any FTP server
Provides :
python-Biggus
Requires :