semvec/pypi-packages huggingface dataset:
sari-sparql-parser 0.0.6
A library for parsing SPARQL queries and updates
Requires Python: >=3.6

# SARI Sparql Parser

A parser for SPARQL queries and updates.

Note: This parser is very experimental and may not function very reliably.

## Installation

install using pip


```sh
pip install sari-sparql-parser
```

## Usage

Parse a SPARQL query:

```python
from sariSparqlParser import parser

query = """PREFIX crm: <http://www.cidoc-crm.org/cidoc/crm>
    SELECT ?subject ?identifier WHERE {
        ?subject crm:P1_is_identified_by ?identifier .
        ?identifier a ?type .
        VALUES (?type) {
            (crm:E41_Appellation)
            (crm:E42_Identifier)
        }
    }
"""
p = parser()
p.parseQuery(query)
```

This will output:
```python
{
    'prefixes': {'crm': 'http://www.cidoc-crm.org/cidoc/crm'},
    'select': ['subject', 'identifier'],
    'where': [{
        's': {'type': rdflib.term.Variable, 'value': 'subject'},
        'p': {'type': rdflib.term.URIRef, 'value': 'http://www.cidoc-crm.org/cidoc/crmP1_is_identified_by'},
        'o': {'type': rdflib.term.Variable, 'value': 'identifier'}
    },
    {
        's': {'type': rdflib.term.Variable, 'value': 'identifier'},
        'p': {'type': rdflib.term.URIRef, 'value': 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type'},
        'o': {'type': rdflib.term.Variable, 'value': 'type'}
    }],
    'values': [{
        'type': {'type': rdflib.term.URIRef, 'value': 'http://www.cidoc-crm.org/cidoc/crmE41_Appellation'}
    },
    {
        'type': {'type': rdflib.term.URIRef,'value': 'http://www.cidoc-crm.org/cidoc/crmE42_Identifier'}
    }]
}
```
pyplutchik 0.0.11
A library for visualizing emotions detected in corpora according to Plutchik's model.
Keywords: python,dataviz,emotions,plutchik

PyPlutchik is a library specifically designed for the visualisation of Plutchik’s emotions in texts or in corpora. PyPlutchik draws the Plutchik’s flower with each emotion petal sized after how much that emotion is detected or annotated in the corpus, also representing three degrees of intensity for each of them. PyPlutchik allows users to display also primary, secondary, tertiary and opposite dyads.
StrikePyalfa 1.0
A package for observability and identifiability analysis of non-linear systems
Requires Python: >=3.7

# About StrikePy

StrikePy is a Python implementation of the MATLAB toolbox STRIKE-GOLDD that analyses nonlinear models of ordinary differential equations. It performs a simultaneous assessment of:
- state **observability**,
- parameter structural **identifiability**,  
- unknown **input observability**

The analysis is performed symbolically, and yields results that are valid **locally** for all values of the variables, except for a set of measure zero. 

The aim of StrikePy is to provide a free software tool that provides correct results for the different models to be analysed. 
Python is not an optimised language for symbolic computation so for faster execution speed we recommend the use of the Matlab version (STRIKE-GOLDD).  
-->More information about STRIKE-GOLDD can be found at https://github.com/afvillaverde/strike-goldd

StrikePy was created by [David Rey Rostro], <davidreyrostro@gmail.com>

## Recommended IDE
PyCharm IDE and Python 3.9 (StrikePy was tested under these conditions)

## Dependencies: 
Install the dependent packages using pip as shown below:
	pip install numpy sympy symbtools

## Getting started
To use StrikePy you have two options: 
	1. pip install method:
		- Create a new PyCharm proyect or use an existing one.
		- Type in your terminal 'pip install StrikePy' or search for StrikePy in the PyCharm installer.
		- Import the library by typing 'from StrikePy.strike_goldd import strike_goldd'.
		- Look for the 'StrikePy' folder in the pip installation path and define the problem by editing 'options.py' or creating a custom options file inside the 'custom_options' folder. 
		- Call the function by typing 'strike_goldd()' or 'strike_goldd('my_custom_options_file')'.
	2. GitHub method:
		- Download the GitHub files from 'https://github.com/afvillaverde/strike-goldd/StrikePy'. 
		- Define the problem by editing 'options.py' or creating a custom options file inside the 'custom_options' folder. 
		- Run the file 'RunModels.py' for a test or follow the instructions in the file to analyse other models.
 
***The results of the analysed models as well as the observability/identifiability matrix will be saved in a .txt file in the results folder (inside the StrikePy folder)

The detailed StrikePy guide can be found in the [StrikePy_MANUAL](https://github.com/afvillaverde/strike-goldd/StrikePy)

## Disclaimer

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License.
    
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  
See the GNU General Public License for more details.
 
You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.
readme-generator 0.0.2
Very simple readme generator
Requires Python: >=3.6


<h1 align="center">
  README.md generator :page_with_curl:
</h1>
<br />

this just generates README.md's like that, just

```
pip install readme_generator
```

and

```python
from readme_generator import generate_readme

generate_readme(title, description, repo_name, github_handle)
```

and it generates `GENERATED.md`

<br />
<div align="center">
  <a href="https://github.com/piotrostr/readme_generator/blob/HEAD/MIT">
    <img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="mit" />
  </a>
  <a href="https://github.com/piotrostr/readme_generator/actions/workflows/main.yml">
    <img src="https://github.com/piotrostr/readme_generator/actions/workflows/main.yml/badge.svg" />
  </a>
  <a href="https://www.codefactor.io/repository/github/piotrostr/readme_generator">
    <img src="https://www.codefactor.io/repository/github/piotrostr/readme_generator/badge" alt="CodeFactor" />
  </a>
  <a href="https://codecov.io/gh/piotrostr/readme_generator">
    <img src="https://codecov.io/gh/piotrostr/readme_generator/branch/main/graph/badge.svg?token=HqRHjhWOXT"/>
  </a>
  <a href="https://en.cryptobadges.io/donate/0x2eD29d982B0120d49899a7cC7AfE7f5d5435bC97">
    <img src="https://camo.githubusercontent.com/e96ba7a90d666c76a314e022e072252435a4b271d63b5959e0d4cd7fdbb1032e/68747470733a2f2f656e2e63727970746f6261646765732e696f2f62616467652f6d6963726f2f307865386364663032656664386162306134393064376232636231333535333338396339626339333265" alt="donate-eth" />
  </a>
</div>