semvec/pypi-packages huggingface dataset:
windows-path-adder 1.0.4
add environment path in windows.
License: MIT

# windows-path-adder

open cmd in windows
```bat
echo %PATH%
:: C:\foo;D:\boo

python -m windowspathadder "D:/new/path"
:: or python -m windowspathadder "D:\new\path"

echo %PATH%
:: D:\new\path;C:\foo;D:\boo

:: the previous path is backed up with timestamp.
echo %PATH_{timestamp}%
:: C:\foo;D:\boo
```
metis 0.2a5
METIS wrapper using ctypes
License: MIT

METIS for Python
================

Wrapper for the METIS library for partitioning graphs (and other stuff).

This library is unrelated to PyMetis, except that they wrap the same library.
PyMetis is a Boost Python extension, while this library is pure python and will
run under PyPy and interpreters with similarly compatible ctypes libraries.

NetworkX_ is recommended for representing graphs for use with this wrapper,
but it isn't required. Simple adjacency lists are supported as well.

.. _NetworkX: http://networkx.lanl.gov/

Please see the full documentation_ for examples or the GitHub repository_ for bug reports

.. _documentation: http://metis.readthedocs.org
.. _repository: https://github.com/kw/metis-python
io-pulse 1.0.1
An analytic for 1st IO pulse data
License: MIT
Keywords: pulse io twitter crawl vk facebook telegram

Pulse Data Analysis

### DECLARATIONS ###

imports:
    import json, gzip, os, datetime
    import pandas as pd
    import numpy as np
    from wordcloud import WordCloud, STOPWORDS
    from typing import Dict
    import matplotlib.pyplot as plt


post_types = ['tweet_traptor', 
              'crawl', 
              ['vk_comment', 'vk_post'], 
              ['fbgraph_comment', 'fbgraph_post'], 
              'telegram_stream_message']

### FUNCTIONS ###

## Read gz compressed data into string ##
def read_data(filename) -> list

## Converts gathered datetimes to same format ##
def date_conversion(post_type, date)

# Collapses twitter posts into simplified objects #
def flatten_tweet(tweet: Dict) -> Dict

# Collapses crawl posts into simplified objects #
def flatten_crawl_or_telegram(post: Dict) -> Dict

# Collapses vk posts into simplified objects #
def flatten_vk(vk: Dict) -> Dict

# Collapses facebook posts into simplified objects #
def flatten_facebook(facebook: Dict) -> Dict

## Sorts posts and flattens them based on their respective type ##
def sort_posts(posts: list) -> list

## Retuns the count of each type of post in respective array ##
def type_len(posts: list) -> list

# Combines the results of two separate counts #
def type_join(list1: list, list2: list) -> list

# Get all words from tweet #
def select_twitter_text(tweets: list) -> list

## Get all words from post ##
def select_text(posts: list) -> list

## Making the word cloud ##
def make_wordcloud(text_list: list) -> None

# Get listing of twitter usernames #
def select_twitter_usernames(tweets: list) -> list

## Get listing of usernames ##
def select_usernames(posts: list) -> list

## Get the statistics on a list of usernames ##
def get_username_stats(users: list) -> pd.Series

## Retrieves the timestamps ##
def select_timestamps(posts: list) -> list

## Fucntion that takes a time unit, a min and max date bound, and a list of timestamp lists ##
def graph_timeline(time_unit: str, date_min: str, date_max: str, **timestamp_lists) -> None