semvec/pypi-packages huggingface dataset:
pydict-surf 0.7.28
Performs a walk over all fields of json and python dictionary. Works almost same as os.walk
Requires Python: >=3.7

# pydict_surf
Performs a walk over all fields of json and python dictionary.  Works almost same as `os.walk`

A toolkit to route inside a nested dictionary and list.
The item is specifically designed for routing inside a json dictionary. It can route inside a
key, outside it, and to a specific address. The class is also capable of updating and reading
keys. The usage of this class is almost like the os command system as it has `chdict` (instead of
chdir), `pwdict` (instead of pwd), etc
iot-amqp-adapter 0.2
utility for iot

## Зависимости:
- pytz
- uvloop
- asyncio
- aio_pika

## Пример использования:
```
from fastapi.encoders import jsonable_encoder
from iot_amqp.iot_amqp_adapter import create_consumer
import os


async def get_monitoring_station_list():
    service = MonitoringStationsService()
    result = await service.get_available_monitoring_stations_list()
    return jsonable_encoder(result)


consumer = create_consumer(app_id='city_air', queue='city_air', amqp_uri=os.getenv('AMQP_URI'))
consumer.add_method(test=get_monitoring_station_list)
GMDN 1.0.1
A python implementation of XKCD''s Geothmetic Meandian ( https://xkcd.com/2435/ )
Requires Python: >=3.8
Keywords: XKCD,GMDN,Geothmetic meandian,Math

# GMDN
A python implementation of XKCD's Geothmetic Meandian ( https://xkcd.com/2435/ )

Simply run 
```python
>>> from GMDN import GMDN
>>> GMDN([1, 1, 2, 3, 5])
2.0890566336242085

```

One can optionally include a limit, for how close the highest and lowest mean/median should be to accept the answer. The limit defaults to 0.00001. Note that the function returns the median of the result.
```python
>>> from GMDN import GMDN
>>> GMDN([1, 1, 2, 3, 5], 1)
2

```

GMDN can also be used to get a tuple of (arithmetic mean, geometric mean, median), using geothmetic_mean found in GMDN.helpers:
```python
>>> from GMDN.helpers import geothmetic_meandian
>>> geothmetic_meandian([1, 1, 2, 3, 5])
(2.4, 1.97435048583482, 2)

```