semvec/pypi-packages huggingface dataset:
ddstable 0.2.0
DDS table for contract bridge
Requires Python: >=3.6

# Introduction

A DDS (double-dummy solver) function is available through [Bo Haglund's DDS 2.9.0](http://privat.bahnhof.se/wb758135/bridge/dll.html). For Windows, the DDS DLL is distributed with  are distributed together.

The solution used here is copied from below two opensource project, credit to them

* https://github.com/Afwas/python-dds 
* https://github.com/anntzer/redeal

this project focus on DDS table only like below

````
$ ./ddstable.py
          S     H     D     C    NT
    N     -     4     2     -     3
    S     -     4     2     -     3
    E     3     -     -     -     -
    W     3     -     -     -     -
````

How to use it

````
from ddstable import ddstable
PBN = b"E:QJT5432.T.6.QJ82 .J97543.K7532.94 87.A62.QJT4.AT75 AK96.KQ8.A98.K63"
all = ddstable.get_ddstable(PBN)
print("{:>5} {:>5} {:>5} {:>5} {:>5} {:>5}".format("", "S", "H", "D", "C", "NT"))
# may use  card_suit=["C", "D", "H", "S", "NT"]
for each in all.keys():
    print("{:>5}".format(each),end='')
    for suit in ddstable.dcardSuit:
        trick=all[each][suit]
        if trick>7:
            print(" {:5}".format(trick - 6),end='')
        else:
            print(" {:>5}".format("-"),end='')
    print("")
````

or 

````
>>> from ddstable import ddstable
>>> PBN = b"E:QJT5432.T.6.QJ82 .J97543.K7532.94 87.A62.QJT4.AT75 AK96.KQ8.A98.K63"
>>> ddstable.get_ddstable(PBN)
{'N': {'S': 4, 'H': 10, 'D': 8, 'C': 6, 'NT': 9}, 'S': {'S': 4, 'H': 10, 'D': 8, 'C': 6, 'NT': 9}, 'E': {'S': 9, 'H': 2, 'D': 3, 'C': 7, 'NT': 3}, 'W': {'S': 9, 'H': 2, 'D': 3, 'C': 7, 'NT': 3}}
````

# Reference

* https://github.com/Afwas/python-dds 
* https://github.com/anntzer/redeal
cachingalg 0.0.1
Package consists of implementation of caching algorithms and request generation modules
Keywords: LFU,LFU-Lite,WLFU,LRU,LRUm,fLRU,CB-MPS,CB-SI,CB-SILite

# cachingAlg

This project contains implementation different caching algorithms and request generation module to analyze the caching algorithms

## Installation

Run the following to install:

```python
pip install cachingalg
```

### Usage

```python
to be updated in the future
```