semvec/pypi-packages huggingface dataset:
jupiter-platform-data-source-csg-core 2.3.0.post1
Jupiter Platform Data Source CSG Core
Requires Python: >=3.7,<4.0
Keywords: Development Status :: 5 - Production/Stable,Intended Audience :: Developers,License :: Other/Proprietary License,Operating System :: OS Independent,Programming Language :: Python :: 3,Programming Language :: Python :: 3.7,Topic :: Utilities

# CSG Data Source Schema

## Requirements/Use-cases:

- strong type
- smart type
- singleton
- serialization
- map meta value or name to enum
- extendable:
  - new metrics: loss ...
  - new values: score ...
  - API: unit conversion, report ...
  - ? inheritance
  
## Todo

- generate language specific bindings from a schema
- BaseMeta move common methods to base class or use decorator
- aliases
- to/from: dict, yaml, json
- Metric
  - ? peril scope
- Unit
  - category
  - system
  - integration and conversion with other libraries: pint ...
- ? pydantic integration
  - https://koxudaxi.github.io/datamodel-code-generator/

## References

- CSG
  - https://jupiterintel.atlassian.net/wiki/spaces/CSGv1/pages/872579318/S3+File+System+Organization
  - https://jupiterintel.atlassian.net/wiki/spaces/CSGv1/pages/872579335/Official+Product+Names
- https://gitlab.com/jupiterintel/platform-cs/-/wikis/14_2-CSG-Schema
- Units
  - https://pint.readthedocs.io
- Implementations
  - https://gitlab.com/jupiterintel/climatescoreglobal/-/blob/master/csg/validation/jcs/jcs_definitions.py
  - https://gitlab.com/jupiterintel/climatescoreglobal/-/blob/master/query/releases/selector.py
  - https://gitlab.com/jupiterintel/jupiter_gis/-/tree/master/jupiter/csg
maas-api 0.1.1
An api client library for MAAS.io
Requires Python: >=3.9,<4.0


# Table of Contents

1.  [Quickstart](#orgc1e985f)
    1.  [Installing](#org8a0e592)
    2.  [Using](#org155b2b6)
2.  [Why?](#org5d3a245)
3.  [How?](#orgfb84d69)



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# Quickstart


<a id="org8a0e592"></a>

## Installing

You can install using pip.

    pip install maas-api


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## Using

You can use the api client the same way you would use the CLI.

    from maas_api import Client
    
    client = Client("http://192.0.2.10:/MAAS", api_key="your:api:key")
    
    # allocate a machine
    machine = client.machines.allocate()
    # start deploy
    client.machine.deploy(system_id=machine["system_id"])
    # release the machine
    client.machine.release(system_id=machine["system_id"])


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# Why?

The official MAAS api client library [python-libmaas](https://pypi.org/project/python-libmaas/) did not receive any new
functionality that is available with MAAS.
There is however a [CLI](https://github.com/maas/maas/tree/master/src) written in python. This allows all the functionality to
be used.


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# How?

By using the same technique as the official CLI. By using the API description
available at [/MAAS/api/2.0/describe](file:///MAAS/api/2.0/describe). This allows us to expose the full API
exposed by the MAAS server and to keep functional parity with the CLI.
Sidraapi 0.0.1
Iran Account Cracker
Requires Python: >=2.7

![](https://img.shields.io/badge/SidraELEzz-SidraTools-orange?style=for-the-badge&logo=python.svg) 
<p align="center">
<a href="#"><img title="Made in UAE" src="https://img.shields.io/badge/MADE%20IN-UAE-red.svg?style=for-the-badge&logo=github"></a>

</p>
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  <img alt="SidraELEzz' Github Stats" src="https://github-readme-stats.vercel.app/api?username=SidraELEzz&show_icons=true&include_all_commits=true&hide_border=true" />
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<a href="https://github.com/SidraELEzz"><img title="Author" src="https://img.shields.io/badge/Author-SidraELEzz-red.svg?style=for-the-badge&logo=github"></a>
</p>
transferPyobjects 1.1.1
transfers a PyObject

hello, you may use this program

it was originally intended for transfer of AIs between computers,
but this functionaly allows for variables to be stored in disk, and not ram
this can be built on to allow the transfer of veriables in say a hosted
python notebook. this means you can build and save a value easily. just
remember to import all required modules for the pyobject, otherwise
it will not work.

Functions:
  read_obj(filename)
    takes a filename as input and returns a pyobject contained in the file
    
   write_obj(content, filename)
     takes 2 args, the filename, and the content. the content is the variable to be written, the filename
     is the location of the file to write.