semvec/pypi-packages huggingface dataset:
cameo-cache 0.2
Google cloud storage cache for any slow web API.


pip install cameo_cache
import cameo_cache

#這是roy方便呼叫的方法
bool_exist=cameo_cache.exist(dic_key_value) #判斷是否快取存在
dic_values=cameo_cache.read(dic_key_value) #讀出快取並轉為python dic
cameo_cache.write(dic_key_value, dic_content) #根據一串keys寫入python dic

cameo_cache.set_bucket("gs://cameo_cache_taiwan_public")
cameo_cache.set_bucket("gs://cameo_cache_taiwan_private")
cameo_cache.set_bucket("gs://cameo_cache_korea")

#這是 panda caro 方便呼叫的網址
https://iotai-dev.cameo.tw/api/v2/iot/events?start_time=2020-04-01 00:00:00&end_time=2020-04-29 23:59:59&min_lat=22.43422&max_lat=22.89&min_lon=120.1393&max_lon=120.4398

import cameo_cache
cameo_cache.set_bucket("gs://cameo_cache_taiwan_public")
cameo_cache.cache_url("https://iotai-dev.cameo.tw/api/v2/iot/events?start_time=2020-04-01 00:00:00&end_time=2020-04-29 23:59:59&min_lat=22.43422&max_lat=22.89&min_lon=120.1393&max_lon=120.4398")
#這樣就可以直接把問號後面的東西儲存在設定好的 bucket, 問號前面的東西不會儲存，這樣可以確保 cameo_cache.write, 當中指定的 dic_key_value 兩邊都是一致的
byase 1.0.2
A library that uses Bayesian inference to identify gene-level and isoform-level ASE
Requires Python: >=3.6

# BYASE

A library that uses Bayesian inference to identify gene-level 
and isoform-level ASE (Allele-specific expression) in polyploid 
(diploid or higher) organisms from single-end or 
paired-end RNA-seq data.

## Installation

BYASE is released as a Python package and can be installed by:
```shell
pip3 install --user byase
```
BYASE will automatically install some package dependencies, 
such as `numpy`, `scipy`, `pandas`, `pymc3`, `htseq` and 
`pyarrow`. In order to avoid possible installation problems 
on the server or cluster system, BYASE does not automatically 
install the package `matplotlib`. 
To use the **plotting module**, `matplotlib` should be 
installed manually on the computer:
```shell
pip3 install --user matplotlib
```

## Documentation

The documentation of BYASE can be found 
[here](https://byase-doc.readthedocs.io/en/latest/).