semvec/pypi-packages huggingface dataset:
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py4hy 0.0.1
Python libraries for University of Helsinki internal services
Requires Python: >=3.5

# Python interface to Helsingin yliopisto

Collection of tools to collect information from various University of Helsinki data sources via their public (unofficial) APIs.

## People search

This pulls data from the [People Finder](https://www.helsinki.fi/en/people/people-finder).

```
from pyhy import people
matti = people.search('Matti Nelimarkka')
print( "Call Matti", matti['mobileNumber'] )
print( "Matti works at", matti['researchOrganization'][-1]['name'])

csds_org_id = matti['researchOrganization'][-1]['id']
csds = people.by_organisation( csds_org_id  )

for member in csds:
  print('Also working at CSCS:', member['firstnames'] + ' ' + member['lastname'])
```
quisby 0.2
Quisby is a tool to provide first view into the results from various benchmarks such as linpack, streams, fio etc.
Requires Python: >=3.9,<4.0

## Quisby 

###### (Unoffical name) Quisby: An idler; one who does not or will not work. (noun)

Quisby is a tool to provide first view into the results from various benchmarks such as linpack, streams, fio etc. It doesn't aim to replace existing data viz tool but rather to provide a simplified view to the data with basic metric to understand the benchmark results from a higher level view. For detailed view, there are other tools such as pbench-dashboard, js-charts etc at hand.

Bechmarks currently supported:

|   Benchmark   |   Source data  |
|---|---|
| linpack | Benchmark result     |
| streams | Summary result       |
| uperf   | Summary csv result   |
| specjbb | Benchmark result     |
| pig     | Benchmark  result    |
| hammerDB| Benchmark  result    |
| fio     | pbench result        |
| autohpl | Summary  result      |
| aim     | Benchmark  result    |
| etcd    | pbench  result       |
| reboot  | Benchmark  result    |
| speccpu | Benchmark  result    |


### What it does

It extracts data from benchmark results file or summary results produced by wrapper benchmark programs and move that results to Google Sheet via sheets API V4. 

### Development 

```bash
#Clone the repo
git clone git@github.com:sourabhtk37/data-to-sheet.git

# Installation
source ./install.sh
(optional, for configuring aws and/or azure cli)
source ./install -aws -azure
```
#### config.py 

`config.py` is the only file you need to edit. Sample example have been provided in the file. 

####  quisby.py

This is the main driver program that will be called once you have edited `config.py` file accordingly. It takes in an input file with list of location to the test results.

The location file will look like:

``` 
test: results_linpack
</path/to/results>
...
test: pbench_fio
<http url with results>
...
```

```bash
quisby process --os-type <add-here> --os-release <add-here> --cloud-type <add-here>  location_file`
```
For more information on options, run:

    `quisby -h`

*That's it. It will return a google sheet. Visit the google sheet page and you will see a newly created spreadsheet with the data populated and graphed.*

### Comparison

If you want to compare two different OS release of similar system type then there are scripts that will help you to create a spreadsheet for the same. 

and then run:

```bash
quisby compare --test-name <benchmark-name-(optional)>  --spreadsheets <spreadsheet1,spreadsheet2>
```
and it would return a newly created spreadsheet with the comparison data.

## Contributing

Create issues and create a seperate feature branch to work on it. Push the changes to your clone repo and then create a pull request to the master branch of the origin repo.
disambigufile 0.3.2
Class with file-like interface to a file found in provided search path
Requires Python: >=3.7

=============
disambigufile
=============


.. image:: https://img.shields.io/pypi/v/disambigufile.svg
        :target: https://pypi.python.org/pypi/disambigufile

.. image:: https://img.shields.io/travis/datagazing/disambigufile.svg
        :target: https://travis-ci.com/datagazing/disambigufile

.. image:: https://readthedocs.org/projects/disambigufile/badge/?version=latest
        :target: https://disambigufile.readthedocs.io/en/latest/?version=latest
        :alt: Documentation Status



Class with file-like interface to a file found in provided search path

Features
--------

* Search a path for a file that matches a pattern
* Search a path for a file inside directories that match a pattern
* Basic file-like interfaces:
    * DisFile(...).open()
    * with DisFile(...) as f: ...
* Get path from config file (if optini module installed)

Examples
--------

Simple usage:

.. code-block:: python

  from disambigufile import DisFile
  path = '/bin:/usr/bin:/usr/local/bin'
  try:
      print(DisFile('^ls', path=path))
  except Exception as e:
      print(f"unable to disambiguate file; exception: {e}")

Using a `with` statement to open the disambiguated file:

.. code-block:: python

  from disambigufile import DisFile
  path = 'path1:path2'
  try:
      with DisFile(r'^asdf', path=path) as f:
          print(f.read())
  except Exception as e:
      print(f"unable to disambiguate file; exception: {e}")

With more specific exception handling:

.. code-block:: python

  from disambigufile import DisFile
  import disambigufile
  path = '/bin:/usr/bin:/usr/local/bin'
  try:
      print(DisFile('^ls', path=path))
  except disambigufile.Error as e:
      # will only catch module-specific exceptions
      print(f"unable to disambiguate file; exception: {e}")

Match a file inside of a matched directory:

.. code-block:: python

  from disambigufile import DisFile
  # search for unique file matching ~/Datasets/*2019-08-19*/data*
  path='~/Datasets'
  try:
      hit = DisFile(
          pattern='2019-08-19',
          path=path,
          subpattern='^data',
      )
      print(hit)
  except disambigufile.Error as e:
      print(f"unable to disambiguate file; exception: {e}")

License
-------

* Free software: MIT license

Documentation
-------------

* https://disambigufile.readthedocs.io/



Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
stormkitty 2.0.0
stormbound module
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

# stormkitty

Welcome to Stormkitty, the one and only open-source stormbound related python module!

To install Stormkitty use:

WINDOWS:
>py -m pip install stormkitty

MACOS:
>pip install stormkitty

LINUX:
>pip install stormkitty

PYPI SITE:
>https://pypi.org/project/stormkitty/

## import

To import stormkitty type:
```py
from stormkitty import stormkittyMain
```

## functions

The Stormkitty module defines these functions:
```py
skgen.generate_random_deck(faction)
```
```py
skgen.kitty_to_deck(link)
```