semvec/pypi-packages huggingface dataset:
bfexec 3.1.0
A BrainF**k interpreter written in Python.
License: MIT
Requires Python: >=3.8,<4.0
Keywords: Brainf**k,Interpreter

# bfexec

[![Codacy Badge](https://api.codacy.com/project/badge/Grade/97d726aca2da45709e8ec6c2375ecc44)](https://www.codacy.com/manual/anishjewalikar/bfexec?utm_source=github.com&utm_medium=referral&utm_content=NightShade256/bfexec&utm_campaign=Badge_Grade)

A simple BrainF\*\*k interpreter written in Python.

## Installation

The preferred way to install bfexec is through `pip`.

`pip install -U bfexec`

## Usage

You can use bfexec through the command line (assuming your Python Scripts folder is in PATH).
`bf <filename here>`

Please only use files with `.b` or `.bf` extension.

You can also import `bfexec` in your code and use it in your application.

Example:

```python
import sys

import bfexec


code = "SOME BF CODE"


compiler = bfexec.Compiler(code)
program = compiler.compile_code()
interp = bfexec.BFInterpreter(program, sys.stdin, sys.stdout)
interp.run()
```

Please see the documentation for more.

You can find example BrainF\*\*k programs in the `examples/` subdirectory.
All the credit for making the above mentioned programs go to there respective authors.

This interpreter is quite slow. You may notice that by running the Hanoi and Mandelbrot Set programs.
This is because Python itself is an interpreted language, and there are massive overheads in function calls
dropping off the performance.

## Changelog

v3.0.3

1. Added Multiply Loop optimization support. Now it takes the Towers of Hanoi example only ~3.5 minutes to finish!
   Speed in other programs is also greatly improved!

## Contributing

Just open a pull request.

## Acknowledgements

This is inspired by an earlier BF interpreter written in Python that you can find [here](https://github.com/Shubbler/PyFuck).
I have added few of my own modifications that seek to make the interpreter better.

## License

This project is licensed under MIT license.

## Support

Please feel free to contact me on Discord, if you have any query regarding bfexec.
Username: `__NightShade256__#5169`
faker-ids 0.0.9
Fake id generator. Fetches upto 5 MILLION fake details like firstname, lastnam, emailid and mobile number.
License: MIT
Keywords: fakeid,indians,indian fake ids,faker,fakes,fake ids,python,fake-ids python,fake indian ids python

Hey There !!!

This is the simple python package for generating fake id's. You can fetch upto 5 MILLION fake id's. The id generated contains 4 elements 'First Name', 'Last Name', 'Email Id' and 'Mobile Number'. This package provides indian id's.


Input:

n: Number of required fake id's

0 < n < 5000000


Output:

List: List of Json objects which contain the details of the id i.e. first name, last name, email id and mobile number.


Installation:

pip install faker-ids


Code: 

import faker_ids

print(faker_ids.get_ids(n))
sqlpipe 0.2.1
A simple way to run multiple SQL script pipelines in parallel.
License: MIT
Keywords: sql pipeline etl parallel redshift postgres postgresql mysql

## SQLPipe - Easy way to build SQL pipelines

With **SQLPipe** it is possible to create a full pipeline and orchestrate dependencies in a simplified way using SQL. The task management uses the **asyncio** library, so execution is done with the python coroutine system for parallel executions.
![image](https://raw.githubusercontent.com/mariotaddeucci/sqlpipe/master/assets/diagram.png)
**Installation:** 

    pip install sqlpipe

## Basic Example
**Using SqlPipeBuilder**. 
Once the object has been instantiated, use the add_task method to add the scripts to be executed, you must specify a different id for each task, if one task depends on another, use the parent_id parameter to configure the dependency.

	from sqlpipe import SqlPipeBuilder

	con_str =  'postgres://user:pass@host:port/dbname'
	pipe =  SqlPipeBuilder(con_str, connections_limit=5)
  
	# Add custom script
	pipe.add_task(id='id_2', script='truncate table t1;', parent_id='id_1')
  
	# Add SQL file script
	pipe.add_task(id='id_1', script='queries/tables/t1.sql', file=True)
  
	# Add all .sql in directory
	pipe.map_directory('queries')
	
	# Execute all pipeline
	pipe.execute()
	# Start from specifc task
	pipe.execute('id_2')
	
**Using CLI**
Call the CLI and pass the directory (-d or --directory) parameter, after that all `.sql` files in the directory and subdirectories will be started. To configure a dependency just put the dependency in a comment on script file, example `/* @parent=my-parent-task */`.

    python -m sqlpipe -d queries
It's possible to call specific task passing the task parameter (-t or --task).

    python -m sqlpipe -d queries -t task-id


**Supported Databases**
 - MySQL
 - PostgreSQL
 - Redshift

**Licence 📜**
Code released under [the MIT license](https://github.com/mariotaddeucci/sqlpipe/blob/master/LICENSE).
flask-fantasy 0.4.2
A lazy web-framework based on Flask
License: MIT
Keywords: fantasy,flask

# Fantasy

![](https://secure.travis-ci.org/wangwenpei/fantasy.png?branch=master)
![](https://codecov.io/github/wangwenpei/fantasy/coverage.svg?branch=master)

A lazy web-framework based on  [Flask](http://flask.pocoo.org/).


## Why use Fantasy

[Flask](http://flask.pocoo.org/) is a **micro-service** style framework.
It's awesome.

But micro-service framework often cause another problem,
that is make the code reusability not very well.

So can we keep the micro-service architecture and also keep code reusability?

that's why we create fantasy.


Happy Coding with Flask tech-stack, and keep code reusability.



## ChangeLog

before v0.5.x, we don't plan submit a human-readable changelog.
current is 0.3.x.

and we don't use it in our production level project, 
just for experiment project.