semvec/pypi-packages huggingface dataset:
Amphitryon 0.0.0
Ἀμφιτρύωνος
Requires Python: >=3.6

Ἀμφιτρύωνος

```Python
me@amadeus:~$ python3
Python 3.8.10 (default, Mar 15 2022, 12:22:08) 
[GCC 9.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> 1/9
0.1111111111111111
>>> 1/99
0.010101010101010102
>>> 1/999
0.001001001001001001
>>> print(f"{1/9:.30}")
0.111111111111111104943205418749
>>> 
me@amadeus:~$ 
```
pdc-session 0.1.19
simple shopee session manager
Requires Python: >=3.9,<4.0

# Shopee Session

simple shopee session manager

### Install
`$ python -m pip install pdc-session`

### configure

 ```python
from pdc_session.session_config import configure_client

api_uri = 'http://localhost:51016'
api_key = '0234a45a4d4c34f1849638f****'
botname = 'test'


configure_client(
    api_uri = api_uri, # api_uri default http://localhost:4000
    api_key = api_key, # api_key format string hex
    botname = botname # botname format string
)

```

### A Simple Example

```python
from requests import Session
from pdc_session.session_persist import SessionPersist

# SessionPersist need username to run
SessionPersist.username = 'test'


with SessionPersist() as sp:
    # when entering class will find available sessions and lock them
    
    # create new session
    session = Session() # session from requests
    sp.create(lock=True) # lock is optional, defaults as True

    # get avaliable session
    # by default it is called when on enter
    sp.get_session()
    sp.session_id # when id is not 0, then session is valid
    sp.session_valid # or check with session_valid

    # if get_session() is falied, method all_locked() will be called

    # lock session
    # by default you need to change the session_id property and call lock_session()
    sp.session_id = 'someid'
    sp.lock_session() # but this is not recommended

    # release session
    # set session to unlocked
    sp.release_session()

    # update session
    # by default it is called when on exit
    sp.session.cookies.set('test', 'test')
    sp.update_session()
```

### Best Practice

```python
from pdc_session.session_persist import SessionPersist

class Auth(SessionPersist):
    
    username: str
    password:str

    def __init__(self, username, password):
        self.username = username
        self.password = password


with Auth('test', 'test') as auth:
    auth.session.get('/getinfo')
    auth.session.get('/product')
    auth.session.post('/upload_product')
```

### Blocking Code

```python
from pdc_session.session_persist import SessionPersist

class Auth(SessionPersist):
    
    username: str
    password:str

    def __init__(self, username, password):
        self.username = username
        self.password = password

user = Auth('test', 'test')
user._acquire()
auth.session.get('/getinfo')
auth.session.get('/product')
auth.session.post('/upload_product')
user._release()
```
mlfields 0.0.9
UI system to manage ML input
Requires Python: >=3.6

# MLFields: ML input management 

## Why I develop this
I feel it is hard to manage features in ML projects;
- During experiment phase, I often do many experiments and lose track of feature history
- During oepration phase, I need to build monitoring system each time

## The solution I want to build in this library
System manages features in following structure
- Project: unit of managing features
    - Set of feature definitions
    - Generated features 
    - Experiments (evaluation of generated features)