semvec/pypi-packages huggingface dataset:
Skoll 0.3
A brief description of your package
Requires Python: >=3.6

# SKOAL (scheduling kilonovae algebraic lightweight)
A lightweight, comprehensive scheduling package built for ultrafast follow-up observations of FERMI notices and LVC notices. I originally built this for the TURBO project so it's optimized for an array of telescope mounts requiring subsecond scheduling times.


PACKAGING IN PROGRESS,
email Borderbenja@gmail.com for questions

The code can currently:
- interact with gracedb to download and read skymaps
- read and produce telescope configuration files
- create an moc tiling for square and nonsquare telescope footprints of arbitrary dimensions
- produce probability ordered target list of observable targets for given FERMI and LVC notices
- divide target list based on clusters or probability for arbitrarily sized telescope array

Planned improvements:
- add other tiling methods(Shaon's method)
- coordination between multiple telescope arrays
- add option to use balltree and compare method times
- implement algebraic option for fermi notices


Related repositories:
- https://github.com/shaonghosh/sky_tiling.git 
- https://github.com/mcoughlin/gwemopt
flemopt 0.1
A brief description of your package
Requires Python: >=3.6

# FLEMOS (Fast lightweight EM observation scheduler)
A lightweight, comprehensive scheduling package built for ultrafast follow-up observations of FERMI notices and LVC notices. I originally built this for the TURBO project so it's optimized for an array of telescope mounts requiring subsecond scheduling times.


PACKAGING IN PROGRESS,
email Borderbenja@gmail.com for current (working)codebase

The code can currently:
- interact with gracedb to download and read skymaps
- read and produce telescope configuration files
- create an moc tiling for square and nonsquare telescope footprints of arbitrary dimensions
- produce probability ordered target list of observable targets for given FERMI and LVC notices
- divide target list based on clusters or probability for arbitrarily sized telescope array

Planned improvements:
- parallelize reverse field lookup using multithreading/CuPy
- add other tiling methods(Shaon's method)
- coordination between multiple telescope arrays


Related repositories:
- https://github.com/shaonghosh/sky_tiling.git 
- https://github.com/mcoughlin/gwemopt
cucumber-s 0.1.2
A Python library for creating various programs based on objectives
Requires Python: >=3.6


5. **Create a `LICENSE` file**: Choose a license for your project. Here is an example of the MIT license:

`LICENSE`:

```text
MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.