semvec/pypi-packages huggingface dataset:
robotframework-jinger 1.0.1
Generate data-driven Robot Framework testcases using Jinja templates
Requires Python: >= 3.8.2

# JingeR: Jinja generator for Robot Framework

Generate data-driven Robot Framework testcases using Jinja templates.

## Use Cases

- Generate tests for a REST API 
- Static test generation (as opposed to dynamic test generation using the [Listener interface](https://robotframework.org/robotframework/latest/RobotFrameworkUserGuide.html#listener-interface))

## How to use it

1. Install the package

```bash
pip install robotframework-jinger
```

2. Save the default template to the current directory


```bash
jinger init
```

**Hint**: In case your environment does not allow executing jinger, call the Python module directly:

```bash
python -m JingeR init
```

3. Modify the template and the testdata

**Notes**

- Each RF variable in the template that should be replaced by its value must be named according to the following pattern: `${T_foo}`.
- The template file is a valid .robot file in order to allow testing the template test case without having to first run Jinja to process the file. 

4. Generate a Robot Framework testsuite

```bash
jinger run testcase.jinja.robot testdata.py testcase.robot
```

**Note**: For debugging purposes the variables that were replaced in the template can be printed as comments in the generated .robot file by passing the option `--debug` to `jinger run`.

## How it works

1. The .robot template file is converted to a Jinja template. This involves uncommenting the Jinja for-loop and replacing all RF variables of the form `${T_var}` with `{{var}}`.
2. Jinja processes the template.
3. The resulting list of testcases is written to the .robot file passed as last argument to `jinger run`
auror 0.3.13
Parameter Checking
Requires Python: <3.12,>=3.8

# main/auror



## Getting Started

Download links:

SSH clone URL: ssh://git@git.jetbrains.space/odysseus/main/auror.git

HTTPS clone URL: https://git.jetbrains.space/odysseus/main/auror.git



These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

## Prerequisites

What things you need to install the software and how to install them.

```
Examples
```

## Deployment

Add additional notes about how to deploy this on a production system.

## Resources

Add links to external resources for this project, such as CI server, bug tracker, etc.
skriba 0.3.13
Messaging and logger module for astroVIPER, Dask based ecosystem.
Requires Python: <3.12,>=3.8

# main/skriba



## Getting Started

Download links:

SSH clone URL: ssh://git@git.jetbrains.space/odysseus/main/skriba.git

HTTPS clone URL: https://git.jetbrains.space/odysseus/main/skriba.git



These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

## Prerequisites

What things you need to install the software and how to install them.

```
Examples
```

## Deployment

Add additional notes about how to deploy this on a production system.

## Resources

Add links to external resources for this project, such as CI server, bug tracker, etc.
proxy-seller-user-api 1.0.4
Interaction with user api
Requires Python: >=3.7
Keywords: api client

# proxy-seller python api

Install from [pypi.org](https://pypi.org/project/proxy-seller-user-api)
```sh
pip3 install proxy-seller-user-api
```

Or manual install from [proxy-seller/user-api-python](https://bitbucket.org/proxy-seller/user-api-python) repository
```sh
pip3 install git+https://bitbucket.org/proxy-seller/user-api-python
```

## Quick start
Get API key [here](https://proxy-seller.com/personal/api/)
```py
from proxy_seller_user_api import Api
api = Api({'key':'YOUR_API_KEY'})
# api.setPaymentId(1)
# api.setGenerateAuth('N')
print(api.balance())
```

## Changelog
```
22.01.2024
Braking changes:
! remove targetId and targetSectionId from all calc/make requests
! add listId into proxyDownload method

New methods:
+ setPaymentId() - used in all calc/make requests (payment id=1(inner balance), id=43(subscribed card))
+ setGenerateAuth() - used in all calc/make requests (Y/N, default N)

+ authList
+ authActive
+ orderCalcResident
+ orderMakeResident
+ residentPackage
+ residentGeo
+ residentList
+ residentListRename
+ residentListDelete
```

## Methods available:
* authList
* authActive
* balance
* balanceAdd
* balancePaymentsList
* referenceList
* orderCalcIpv4
* orderCalcIsp
* orderCalcMix
* orderCalcIpv6
* orderCalcMobile
* orderCalcResident
* orderMakeIpv4
* orderMakeIsp
* orderMakeMix
* orderMakeIpv6
* orderMakeMobile
* orderMakeResident
* prolongCalc
* prolongMake
* proxyList
* proxyDownload
* proxyCommentSet
* proxyCheck
* ping
* residentPackage
* residentGeo
* residentList
* residentListRename
* residentListDelete
cbadc 0.3.2
A toolbox for simulating control-bounded converters.
Requires Python: >=3.9

![cbadc](https://github.com/hammal/cbadc/actions/workflows/develop.yml/badge.svg?branch=develop)![cbadc](https://github.com/hammal/cbadc/actions/workflows/develop.yml/badge.svg?branch=master)![pypi](https://github.com/hammal/cbadc/actions/workflows/pypi-deployment.yml/badge.svg)[![Documentation Status](https://readthedocs.org/projects/cbadc/badge/?version=latest)](https://cbadc.readthedocs.io/en/latest/?badge=latest)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

# Control-Bounded A/D Conversion (cbadc) Toolbox

This package is intended as a design tool for aiding the construction of control-bounded A/D converters.
Specifically, it is capable of:

- **Generating** transfer functions for analog systems and/or digital estimator parametrizations.
- **Estimating** samples from control signals.
- **Simulating** analog system and digital control interactions.

# Documentation

The project's official documentation can be found at [Read the Docs](https://cbadc.readthedocs.io/en/latest/).

<!-- # Background & References

For a in-depth description of the control-bounded conversion concept consider the following publications
- [Control-bounded analog-to-digital conversion, circuits, systems, and signal processing, 2021](https://doi.org/10.1007/s00034-021-01837-z)
- [Control-bounded converters, Ph.D. Thesis, 2020](https://doi.org/10.3929/ethz-b-000469192).
- [Control-bounded analog-to-digital conversion: transfer functions analysis, proof of concept, and digital filter implementation, arXiv:2001.05929, 2020](https://arxiv.org/abs/2001.05929)
- [Control-based analog-to-digital conversion without sampling and quantization, information theory & applications workshop, 2015](https://ieeexplore.ieee.org/document/7308975)
- [Analog-to-digital conversion using unstable filters, information theory & applications workshop, 2011](https://ieeexplore.ieee.org/abstract/document/5743620) -->

# Installation

Install [cbadc](https://pypi.org/project/cbadc/) by typing

```bash
pip install cbadc
```

into your console. Note that, currently cbadc is only supported for Python3.9 and later.

## Develop Version

Alternatively, the latest develop branch can be installed by

```bash
git clone --branch develop https://github.com/hammal/cbadc.git && \
cd cbadc && \
python -m pip install . && \
cd .. && \
rm -rf cbadc
```

# Source Code

The source code is hosted on [https://github.com/hammal/cbadc](https://github.com/hammal/cbadc).

# Bugs and Issues

Please report problems at [https://github.com/hammal/cbadc/issues](https://github.com/hammal/cbadc/issues)

# Changelog
see [CHANGELOG](./CHANGELOG.md)