semvec/pypi-packages huggingface dataset:
vplotly 0.0.4
A small package for plotting based on plotly. This package is accompanying the package vstats.
License: MIT
Requires Python: >=3.8.1,<4.0

# vplotly

A small Python package for plotting based on Plotly.
This package is accompanying the package `vstats`.

## Installation

```bash
$ pip install vplotly
```

## License

`vplotly` is licensed under the terms of the MIT license.

## Credits

`vplotly` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
vstats 0.0.4
A small Python package providing tools for statistics
License: MIT
Requires Python: >=3.8.1,<4.0

# vstats

A small Python package providing tools for statistics. An accompanying package for visualization is `vplotly`.

## Installation

```bash
$ pip install vstats
```

## License

`vstats` is licensed under the terms of the MIT license.

## Credits

`vstats` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
rs-bytepiece 0.2.2
bytepiece-rs Python binding
License: MIT
Requires Python: >=3.7
Keywords: NLP,tokenizer,bytepiece,Deep Learning

# rs-bytepiece

## Install

```bash
pip install rs_bytepiece
```

## Usage

```python
from rs_bytepiece import Tokenizer

tokenizer = Tokenizer()
# a custom model
tokenizer = Tokenizer("/path/to/model")
ids = tokenizer.encode("今天天气不错")
text = tokenizer.decode(ids)
```

## Performance

The performance is a bit faster than the original implementation. I've tested (on my M2 16G) the《鲁迅全集》which has 625890 chars. The time unit is millisecond.

| length | jieba    | aho_py  | aho_cy | aho_rs |
| ------ | -------- | ------- | ------ | ------ |
| 100    | 17062.12 | 1404.37 | 564.31 | 112.94 |
| 1000   | 17104.38 | 1424.6  | 573.32 | 113.18 |
| 10000  | 17432.58 | 1429.0  | 574.93 | 110.03 |
| 100000 | 17228.17 | 1401.01 | 574.5  | 110.44 |
| 625890 | 17305.95 | 1419.79 | 567.78 | 108.54  |
gpt-review-with-precondition 0.3.8
GPT review with precondition from Notion
License: MIT
Requires Python: >=3.11,<3.12

# gpt-review-with-precondition

## summery

notion 上にある技術文書を前提とした PR レビューを行います

## for user

### Envioronment Variables

### install

```shell
pip install gpt-review-with-precondition
```

### save-precondition コマンド

```shell
save-precondition ${NOTION_DATABASE_ID}
```

notion document を取得して前提条件のためのデータを保存します。

- NOTION_DATABASE_ID
  指定した id の Notion Database から ドキュメントを取得します。`inputs/notion_database_query.json` で取得条件を指定できます。`inputs/notion_document_ids.json` に指定された id のドキュメントも併せて取得します。

```json
// example notion_database_query
{
  "filter": {
    "or": [
      {"property": "status", "select": {"equals": "approved"}},
      {"property": "status", "select": {"equals": "posted"}},
    ]
  }
}
```

```json
// example notion_document_ids
["id1","id2"]
```

### gpt-review-with-precondition コマンド

```shell
gpt-review-with-precondition
```

前提条件付きで `inputs/prompt.md` に記載されたプロンプトを実行します。

## for developer setup

```shell
pip install poetry
make install
```