semvec/pypi-packages huggingface dataset:
hippocamp 0.5.8
A geospatial AI inference library.
License: MIT
Requires Python: >=3.7.0,<4.0.0

===================
Hippocamp
===================


Utility package for satellite machine learning inference


* Free software: MIT license
* Documentation: hippocamp.granular.ai.

Dependencies
------------

* poetry
* twine
* bumpversion
* coverage

Features
--------

* Sensor registry and sensor specific loading and preprocessing
* General preprocessing
* Inference output management


TODO
----

* Shift build logic from cloudbuild to github actions


Build Details
-------------

* packages are managed using poetry
* packages poetry maintains pyproject.toml
* PRs and commits to `develop` branch trigger a google cloudbuild (image: cloudbuild.yaml, docs: cloudbuild_docs.yaml)
* Dockerfile builds image by exporting poetry dependencies as tmp_requirements.txt and installing them

Tests
-----

>>> make install
>>> make test
scratchhh 0.2.8
Scratch API wrapper
License: MIT
Requires Python: >=3.6

# scratchhh
[![img](https://shields.io/badge/view-on%20github-black?logo=github)](https://github.com/themysticsavages/scratchhh)
[![img](https://shields.io/badge/view-on%20pypi-blue?logo=pypi)](https://pypi.org/project/scratchhh)

[![scratch](https://scratch.mit.edu/images/logo_sm.png)](https://scratch.mit.edu)

scratchhh is a kinda thin wrapper for the Scratch API. It makes things easier to fetch and use.

## Installation
With pip:
```
python -m pip install scratchhh
```
Or manually:
```
python setup.py install
```

## Usage
### getUserProj
```py
# Get projects from a specific user
from scratchhh.scratchhh import Scratch
Scratch.getUserProj(user, num)
```
### getThumb
```py
# Get a project thumbnail
from scratchhh.scratchhh import Scratch
Scratch.getThumb(id, url, file)
```
### searchProj
```py
# Search for projects
from scratchhh.scratchhh import Scratch
Scratch.searchProj(query, num)
```
### getInfo
```py
# Get project information
from scratchhh.scratchhh import Scratch
Scratch.getInfo(id)
```
### getUserAv
```py
# Get a user avatar
from scratchhh.scratchhh import Scratch
Scratch.getUserAv(user, url, file)
```
### exists
```py
# Check if a user or project exists
from scratchhh.scratchhh import Scratch
Scratch.getUserAv(ini)
```
### getProjComments
```py
# Get project comments
from scratchhh.scratchhh import Scratch
Scratch.getProjComments(id, num)
```
### getUserComments
```py
# Get user comments
from scratchhh.scratchhh import Scratch
Scratch.getProjComments(user, num)
```
### cloneProj
```py
# Get a project as an sb3 file
from scratchhh.scratchhh import Scratch
Scratch.cloneProj(id, file)
```


More features will be added as project development moves!

## Examples
```py
from scratchhh.scratchhh import Scratch
import os

ids = Scratch.getUserProj('Scratchteam', 10)
print('Getting some thumbnails :P')
os.chdir('thumbs')

for i in range(0, 10):
  Scratch.getThumb(ids[i], 'thumbnail{}.png'.format(i))
```
```py
from scratchhh.scratchhh import Scratch

project = Scratch.searchProj('minecraft', 1)[0]
loves = Scratch.getInfo(project)['stats']['loves']

print('This project has {} loves. WOW!'.format(loves))
```
```py
from scratchhh.scratchhh import Scratch

users = ['Za-Chary', 'Scratchteam', 'Paddle2See']
print('Getting some user pfps...')

for i in range(0, len(users)):
  Scratch.getUserAv(users[i], '{}.png'.format(users[i]))
```
```py
from scratchhh.scratchhh import Scratch

ids = ['658095', '142', '943855']

for i in range(0, len(ids)):
  print(Scratch.getProjComments(ids[i], 3))
```

## Why scratchhh?
scratchhh offers simpler command syntax and results and a few more features than other modules, I guess.
SOLARNET 2.2
A python 3 client to access the RESTfull API of the SOLARNET Virtual Observatory
License: MIT
Requires Python: >=3.4
Keywords: sun,astronomy,SOLARNET,RESTful

SOLARNET Virtual Observatory (SVO)
==================================
The SVO is a service first supported by the [SOLARNET](http://solarnet-east.eu/) project, funded by the European Commission’s FP7 Capacities Programme under the Grant Agreement 312495. Then made operational thanks to the [SOLARNET2](https://solarnet-project.eu) project, funded by the the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement 824135.

It's purpose is to collect metadata from as many solar observations as possible, especially those made thanks to the SOLARNET projects, in a common catalog and make them available to the scientific community.

A first prototype version was released in February 2016, and the operational version is available now at https://solarnet2.oma.be

The SVO code is split in several parts:
- A [web server](https://github.com/bmampaey/SOLARNET-server)
- A [web client](https://github.com/bmampaey/SOLARNET-web-client)
- A [python client](https://github.com/bmampaey/SOLARNET-python-client)
- An [IDL client](https://github.com/bmampaey/SOLARNET-IDL-client)
- [Data provider tools](https://github.com/bmampaey/SOLARNET-provider-tools)

SOLARNET API python client
==========================

This package can be used as a client or as an example how to work with the API using Python 3

Example usage
-------------

```python

from SOLARNET import datasets

# See all available datasets
for dataset in datasets:
	print(dataset)

# Get a specific dataset
aia_lev1 = datasets['AIA level 1']

# Filter the record in that dataset for June 2012 the 6th with a wavelength of 171A
filtered_aia_lev1 = aia_lev1.filter('DATE-OBS', '2012 June 6', WAVELNTH = 171)

# Display the date of observation and the wavelength in that filtered dataset
for record in filtered_aia_lev1:
	print(record.metadata['DATE-OBS'], record.metadata['WAVELNTH'])

# Download the data from a record
record = filtered_aia_lev1[0]
record.download('/tmp')

# Get the data as a BytesIO [1] without saving to disk
data = record.data()

# Open the data as a fits file (see astropy.io.fits [2])
hdus = record.HDUs()


```
[1] [BytesIO](https://docs.python.org/3/library/io.html#io.BytesIO)
[2] [astropy.io.fits](https://docs.astropy.org/en/stable/io/fits/)
xubib 1.0.7
this is my first test
License: MIT

# bib 
bib is a special library, which aims to organize and standardize bib files, so as to facilitate relevant personnel to read and find the information in the files.

The following modules are available. These contain some functions, that can be used by your own codebase.

  - bibcopy.PythonList - 如何如何。
  - bibcopy.qiyuhanshu - 如何如
  
We build and maintain bib, so if we encounter bugs in the process of using it, we can provide relevant information to 937207118@qq.com.

See the [storehouse](https://gitee.com/chen-kun19/summer-program) for guidelines and code references for using bib.

## [Compatibility]

bib 1.0.6 supports Python3.

## [Installing Bib]
We provide complete source code, so you can download all the relevant information of bib.

Instructions are as follows：

    pip install Test

Then in py file, through instruction：

    from fb inmport bibcopy
In this way, you can use the functions described above.

## [Contributing]
Are you a developer? Do you want to integrate bib into your project and contribute back? Great! Just do it and if you have any questions, please contact me through [it](937207118@qq.com).