semvec/pypi-packages huggingface dataset:
vietnamese 0.0.8
Basic resource for Vietnamese NLP.

This package provides a simple tool for preprocessing Vietnamese text. It includes the following functions:

`get_consonants()`: Returns a list of all Vietnamese consonants.

`get_vowels()`: Returns a list of all Vietnamese vowels.

`get_rhymes()`: Returns a list of all Vietnamese rhymes.

`normalize(input_str)`: Converts the input string from various Vietnamese encodings to Unicode.


## Installing
You can install the package using pip:
```
$ pip install vietnamese
```

## Usage
Here's an example of how to use the package:

```python
import vietnamese

consonants = vietnamese.get_consonants()
vowels = vietnamese.get_vowels()
rhymes = vietnamese.get_rhymes()

input_str = "Xin chµo, ®©y lµ mét dßng ch÷ bÞ lçi font"
normalized_str = vietnamese.normalize(input_str)

print("Consonants:", consonants)
print("Vowels:", vowels)
print("Rhymes:", rhymes)
print("Input string:", input_str)
print("Normalized string:", normalized_str)
```

## Contributing
If you find a bug or have a suggestion for a new feature, please open an issue on GitHub or submit a pull request.
strategy-api 1.3.0.2
仓位查询 API 添加

# strategy_api

### 介绍:
strategy_api 是关于量化策略的库，web3 大学推出的一款交易策略库，接通ex API，并且
打造策略框架，方便用户自定义实盘策略，更方便快捷的实现策略与APi的交互，目前接通交易
所：BINANCE、OKEX，包括U本位、币本位的api，

### [strategy_api 详细文档](./docs/detail_docs.md)
cvae-glrm 1.0.5
Conditional Variational AutoEncoder - Graph Laplacian Regularized Model
Requires Python: >=3.9.12

# CVAE-GLRM
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/cvae-glrm) ![GitHub release (latest by date)](https://img.shields.io/github/v/release/az7jh2/CVAE-GLRM) ![PyPI](https://img.shields.io/pypi/v/cvae-glrm) ![Conda](https://img.shields.io/conda/v/bioconda/cvae-glrm) ![Docker Image Version (latest by date)](https://img.shields.io/docker/v/az7jh2/cvae-glrm?label=docker) ![Read the Docs (version)](https://img.shields.io/readthedocs/cvae-glrm/latest)

CVAE-GLRM (**C**onditional **V**ariational **A**uto**E**ncoder - **G**raph **L**aplacian **R**egularized **M**odel) is a two-step **hybrid** machine learning and regression method considering platform effect, spatial information and sparsity in **deconvolution** of spatial transcriptomic data using reference single-cell RNA sequencing data from same tissue type.

**Full documentation** for CVAE-GLRM is available on [Read the Docs](https://cvae-glrm.readthedocs.io/en/latest/).

For Notebooks and results of running CVAE-GLRM on both Simulated and Real datasets, and Notebooks of Figure Panels in manuscript please refer Github repository [CVAE-GLRM_Analysis](https://github.com/az7jh2/CVAE-GLRM_Analysis).
testpypg 1.0.0
A sample Python project
Requires Python: >=3.7
Keywords: development,sample,setuptools

Copyright (c) 2018 The Python Packaging Authority

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
kusto-tool 0.4.2
A high-level API for querying Kusto.

![Lifecycle:Experimental](https://img.shields.io/badge/Lifecycle-Experimental-339999)

# kusto-tool

A high-level Python library and CLI to make it easier to use Azure Data Explorer
(aka Kusto), especially for data scientists.

Experimental, work-in-progress, unstable API.

[Documentation](https://kusto-tool.readthedocs.io/en/latest/overview.html)

## TODO

### Database API

#### Table management 

- [x] .set-or-append table
- [x] .set-or-replace table
- [x] .drop table
- [ ] .append table
- [ ] .create table
- [ ] .create-merge table
 
#### Function management

- [ ] .create-or-alter function
- [ ] .drop function

#### Query limit settings

- [ ] set notruncation etc.

#### Policy management

- [ ] retention policy
- [ ] sharding policy

#### Access management

- [ ] .show [table|database] principals
- [ ] .add [table|database] [users|admins]

### Query expression API

- [x] project
- [x] where
- [x] distinct
- [x] summarize
- [x] join
- [x] parenthesize or/and expressions
- [x] extend
- [x] order by, sort
- [x] asc, desc
- [x] evaluate
- [x] take, limit
- [x] mv-expand
- [x] Inspect columns from table by querying
- [x] sample
- [x] sample-distinct
- [ ] mv-apply
- [ ] datatable
- [ ] facet
- [ ] find
- [ ] fork
- [ ] getschema
- [ ] invoke
- [ ] lookup
- [ ] parse
- [ ] partition
- [ ] pivot
- [ ] range
- [ ] search
- [ ] serialize
- [ ] top, top-hitters
- [ ] Kusto prefix function translator class
- [ ] special types (datetime, timespan, dynamic)
- [ ] nice error messages when column not found in table etc.

### Agg functions

- [ ] sumif
- [ ] countif
- [ ] dcountif
- [ ] binary_all_and
- [ ] binary_all_or
- [ ] binary_all_xor
- [ ] make_bag / make_set / make_list
- [ ] arg_max, arg_min, take_any, take_anyif
- [ ] avgif
- [ ] hll, hll_merge
- [ ] max, maxif, min, minif
- [ ] percentiles, percentiles_array, percentilesw
- [ ] stdev, stdevif
- [ ] tdigest, tdigest_merge
- [ ] variance, variancep, varianceif

### Other functions and operators

- [x] [start|end]of[day|week|month|year]
- [x] between
- [x] typecasting: real(), long(), datetime() etc.
- [x] math functions: log, sin, cos etc.
- [ ] string functions: strlen etc.
- [ ] null
- [ ] date functions: getyear, getmonth etc.
- [ ] case / iff
- [ ] hash
- [ ] welch_test
- [ ] array_ functions
mmkg-vrd 0.2.0
MMKG Models

# 视觉关系检测使用说明

## 1. 算法描述
该算法用于图像中的视觉关系检测(VRD)。该算法基于PyTorch框架开发，输入一张图片，算法会检测图片中的视觉关系对。

## 2. 依赖及安装

CUDA版本: 11.3
其他依赖库的安装命令如下：

```bash
conda install pytorch==1.10.1 torchvision==0.11.2 torchaudio==0.10.1 cudatoolkit=11.3 -c pytorch -c conda-forge
```

可使用如下命令下载安装算法包：
```bash
pip install -U mmkg-vrd
```

## 3. 使用示例及运行参数说明

**需要准备 pretrained_ckpt, labelmap_file, freq_prior 三个文件，可以通过 [mmkg-vrd](https://github.com/xu7yue/mmkg-vrd) 上所提供的链接进行下载**

```python
from mmkg_vrd import VRD

vrd = VRD(
    pretrained_ckpt='custom_io/ckpt/RX152FPN_reldn_oi_best.pth',
    labelmap_file='custom_io/ji_vrd_labelmap.json', 
    freq_prior='custom_io/vrd_frequency_prior_include_background.npy', 
)

vrd.det_and_vis(
    img_file='custom_io/imgs/1024px-Gen_Robert_E_Lee_on_Traveler_at_Gettysburg_Pa.jpg',
    save_file='custom_io/out/1024px-Gen_Robert_E_Lee_on_Traveler_at_Gettysburg_Pa.reldn_relation.jpg')

print('all done')

```
pycombinators 1.0.2
Elementary combinators in Python inspired by LISP and Haskell. Mostly a convenience library for my sake.
Requires Python: >=3.10

# combinators.py
Elementary combinators in Python inspired by LISP and Haskell. Mostly a convenience library for my sake.

## Installation

```
pip install pycombinators
```

## Sample Usage
```py
from pycombinators import flip
from functools import partial

# returns true if all values in xs are numbers
def is_all_numbers(xs: list) -> bool:
    isinstanceof = flip(isinstance)
    return all(map(partial(isinstanceof, float), xs))
```
drunner 1.2.1
Python integration with Drunner
Requires Python: >=3.8

# Drunner


## Installation

```shell
$ pip install drunner
```


## Usage

### Server init

Run the following command in the terminal to initialize server.

```shell
drunner init --server <host> --server_name <name> --ukey <ukey>
```

### Deploy

Run the `deploy` subcommand to create job.

```shell
drunner deploy notebook <entrypoint> <args> <requirements.txt> --python_version <python_version> --server_name <name>
```


## Documentation

Please install the following version dependencies when send error: ['Click>=8.1.3', 'requests>=2.27.1']