semvec/pypi-packages huggingface dataset:
sshpass-wrapper 0.0.3
A wrapper for sshpass

# spw

A wrapper for `sshpass`

To install `spw`, use pip:  
`pip install sshpass-wrapper`  
then, run with `spw`  

```
Usage:spw [option] command host [parameters]

 option:

     -h or --help: show help info

     -f password-file, default is '~/.spw.pf'

     -o command-option

     -v verbose

 command: 
     set #set password
     get #get password
     ssh #wrap sshpass to exec ssh
     scp #wrap sshpass to exec scp

 host: 
     from ssh_config's Host 

 example:
     spw set localhost password  #set localhost's password
      -  set localhost  #remove localhost's password
      -  get localhost  #get localhost's password
      -  ssh localhost  #ssh connect localhost
      -  ssh localhost arg1 arg2    #ssh connect localhost with args
      -  -o '-p 22' ssh localhost arg1 arg2     #ssh connect localhost with options and args
      -  -vo '-p 22' ssh localhost arg1 arg2    #-v show verbose
```
oyb 0.1.7
Oy vey! So many orbit models. Here's another one.

oyb
===

Oy vey! So many orbit models. Here's another one.

Largely based on Howard Curtis' excellent text, *Orbital Mechanics for
Engineering Students*, second edition. Contains the minimum components needed to
model and propagate restricted two-body orbits, with time values leveraging the
core Python module *datetime*.

Primary components (modules) of the package are as follows:

anomaly
-------

Defines conversions between various anomalies.

earth
-----

Defines earth parameters and key earth-specific calculations (ECF/ENU frame
conversions, latitude/longitude, GMST, etc.).

orb
---

The heart of the *oyb* package; these module contents are imported with the top
package-level *oyb* object. Contains orbital models and conversions.

plot
----

Contains various plotting methods (both main plot functions and their specific
rendering and annotation behaviors) for Orbit-derived objects in 2d (i.e.,
ground track) and 3d (i.e., orbital) plots.

rot
---

Defines vector rotation (lower case) and frame tranformations (upper case). Both
transformations can be concatenated to be performed in right-to-left upon a
given vector operator. Note that the *dot()* method must be used, since these
functions return a 2d *numpy.array* object.