semvec/pypi-packages huggingface dataset:
findMin 11.0.0
Find the minimum in array using as few comparisons as possible
Requires Python: >=3.6

Given an array of elements that provide a less than operator, find the minimum using as few comparisons as possible. The array shall be given such that the first few elements are strictly monotonically decreasing, the remaining elements are strictly monotonically increasing. The less than operator be defined as the operator that works on such arrays where a < b if min(a,b) == a.
dpixiv 4.2.0
Tool to simple use pixiv api of site (Python >= 3.5)

# dpixiv
Tool to simple use pixiv api of site

### Install
```
pip install dpixiv
```

### Example of using

```python
from dpixiv import DPixivIllusts

pix = DPixivIllusts(session=None, proxy=None)

### Attributes: ###

pix.is_auth  #(True|False)
pix.session  #session
pix.proxy    #http proxy 'http://{ip}:{port}'

### Methods:    ###

# Auth
pix.auth(login, password, captcha_token)
# To get capthca_token go to https://accounts.pixiv.net/login
# and write in browser console command:
# document.getElementById('recaptcha-v3-token').value
# Do it fast and save pix.session

# Get lists of ids that recommended to user by pixiv
pictures_ids = pix.recommender(sample_illusts=None, count=100)

# Get list(or not) of short information of pictures (fast speed)
short_pictures_info = pix.illust_list(illusts)

# Get full information of picture (not so fast)
full_picture_info = pix.info(id, token=False)

# Use next method for a lot of pictures(much faster then one by one)
# Get list of full information of picture (medium speed)
full_pictures_info = pix.info_packs(ids, token=False)

# Get lists of ids of pictures that similar to picture with id (fast speed)
similar_pictures_ids = pix.similar(id, limit=10)

# Get list of bookmarks
bookmarks_ids = pix.bookmarks(page=None, from_page=1, to_page=1000000, step_count=10)
# Use page to show only one page

# Get list of following
following_ids = pix.new_work_following(page=None, from_page=1, to_page=1000000, step_count=10)
# Use page to show only one page

# Search by name
search_ids = pix.search(word, page=None, from_page=1, to_page=1000000, step_count=10)
# Use page to show only one page

# Add tag (set token=True to info and get by 'token' key)
response = pix.add_tag(pic_id, tag, token)

# Delete tag
response = pix.del_tag(pic_id, tag, token)

```