semvec/pypi-packages huggingface dataset:
igtools 0.0.1.9
Instagram Scraping tools and bot
License: MIT
Keywords: instagram,python,tools

Create A Login Session :

ex : 

a=igtools.Session()

a.login("username","pass") #login to instagram

print (a.is_login) #Return True If Succed login

a.follow("Username") #Following People

a.unfollow("username") #unfollowing people

a.likes("username") #like the first post of user

a.comments("username","comment") #comment first post of user

a.changepass("newpassword") #change your password

a.changemail("newemail") # change your email

a.changephone("newphone") # change your phone number

a.changebio("newbio") # change your biography

Instagram Scraping :

ex :

igtools.get_followers("username",max=1000) #Generator object,use it in loop
  ex: for i in igtools.get_followers("username",max=1000):
	  print u

igtools.getbyhashtag("hashtagname",max=1000) #Generator object too

igtools.get_followings("username",max=max) #generator object

igtools.getuserpost("username",max=10) #getting post id by username

igtools.search("username") #getting search list in instagram

igtools.getuserid("username") #getting username numeric id

igtools.login("Username","password",print_=False) # return true if login success



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replacy-article-agreer 0.2.2
A replaCy component to manage indirect article agreement, that is, to deal with making "a" and "an" be correct so you don't have to think about them in your matches.
License: MIT
Requires Python: >=3.8,<4.0
Keywords: replacy,spacy,nlp,languagetool

# replaCy Article Agreer

A replaCy component to manage indirect article agreement, that is, to deal with making "a" and "an" be correct so you don't have to think about them in your matches.

## Warning

This replaCy component touches `suggestions` (`span._.suggestions`) generated by replaCy, and *assumes that they are text*. This means you MUST attach add this component to the pipeline **after the joiner**. Otherwise, this component tries to raise `ReplacyPipelineOrderError` to tell you this.

## Install

`poetry add replacy_article_agreer`

or

`pip install replacy_article_agreer`

## Usage

```python
import en_core_web_sm
from replacy import ReplaceMatcher
from replacy.db import load_json
from replacy_article_agreer import ArticleAgreer
from spacy.util import filter_spans


nlp = en_core_web_sm.load()
replaCy = ReplaceMatcher(nlp, load_json('path to match dict(s)'))

aa = ArticleAgreer()

# filtering spans first isn't strictly necessary, but recommended
replaCy.add_pipe(filter_spans, name="filter_spans", before="joiner")
replaCy.add_pipe(aa, name="article_agreer", after="joiner")
```