semvec/pypi-packages huggingface dataset:
mkdocs-timetoread-zh 0.2.0
Estimated Time To Read generator for MkDocs with multiple language support
License: MIT
Requires Python: >=3.9
Keywords: mkdocs, plugin, readtime, chinese

# mkdocs-timetoread-zh

mkdocs-timetoread-zh is a fork of @ntt4's [mkdocs-timetoread-plugin](https://github.com/ntt4/mkdocs-timetoread-plugin) with multiple language support.

## Setup

Install the plugin using pip:

`pip install mkdocs-timetoread-zh`

Activate the plugin in `mkdocs.yml`:

```yaml
plugins:
  - search
  - timetoread-zh
```

> **Note:** If you have no `plugins` entry in your config file yet, you'll likely also want to add the `search` plugin. MkDocs enables it by default if there is no `plugins` entry set, but now you have to enable it explicitly.

## mkdocs.yml Configuration

* `wpm` - Sets the 'words per minute' value for calculating estimated read time.
  * Default value is `255`
  * Possible value range: `1` - `999`

* `language` - Sets the language for the reading time message.
  * Default value is `en`
  * Possible values: `en`, `zh`

* `textColor` - Sets the CSS color for styling the 'Estimated read time:' text.
  * Default value is `bdbdbd`
  * Possible value range: `000000` - `ffffff`

* `template` - Sets the template for the reading time message.
  * Default value is `Estimated read time: {minutes} minutes`
  * Possible values: `Estimated read time: {minutes} minutes`, `预计阅读时长: {minutes} 分钟`

* `min_time` - Sets the minimum time for the reading time message to be displayed.
  * Default value is `1`
  * Possible value range: `1` - `999` (minutes)

* `round_method` - Sets the method for rounding the reading time.
  * Default value is `ceil`
  * Possible values: `ceil`, `floor`, `round`

* `allPages` - Sets all markdown files to have their read times' calculated unless explicitly disabled in the files' Front Matter.
  * Default value is `True`
  * Possible values: `True` or `False`

### Example Configuration

```yaml
plugins:
  - timetoread-zh:
      wpm: 300
      language: "zh"
      textColor: "666666"
      template: "阅读时间：{minutes}分钟"
      min_time: 1
      round_method: "ceil"
```

## Front Matter

Other configuration options are available by defining the following in a YAML front matter block in each markdown file.

```yaml
# Disable timetoread on a per file basis if `allPages` is set to True
timetoread: False
```

```yaml
# Enable timetoread on a per file basis if `allPages` is set to False
timetoread: True
```

## Usage

Once activated `mkdocs-timetoread-zh` will automatically add a new line, with the estimated time to read the document, after the `</h1>` tag in the HTML output generated by MkDocs.
shodo 1.1.0
Shodo Python CLI
License: MIT
Requires Python: >=3.8

# Shodo Python

The Shodo Python help you, lint Japanese text and download posts and images.

## Installation

Normal installation provides only Shodo Python CLI. To use the Shodo Python CLI.  
Install Shodo Python CLI using pip:

```bash
$ pip install shodo
```

Or, to include the optional asyncio support for programming, use:

```bash
$ pip install shodo[async]
```

## Usage

Installing the CLI provides access to the `shodo` command.

```bash
$ shodo [COMMAND]

# Run `--help` for more information about CLI commands
$ shodo [COMMAND] --help
```

## Commands

The Shodo Python CLI provides the following commands:

* [`login`](https://developer.shodo.ink/docs/shodo-cli-reference#shodo-login)
* [`lint`](https://developer.shodo.ink/docs/shodo-cli-reference#shodo-lint)
* [`download`](https://developer.shodo.ink/docs/shodo-cli-reference#shodo-download)

## Documentation

For additional information, please refer to the [Shodo Python CLI documentation](https://developer.shodo.ink/docs/shodo-cli-reference).
lib4gd 0.2.9
A comprehensive library for image handling, MongoDB, and Google Drive file management.
License: MIT
Requires Python: >=3.7

# lib4gd

**lib4gd** is a Python library designed for efficient image handling, Google Drive, and SFTP file downloading. It also provides resource management for consistent concurrency control.

## Features

- **Image Handling:** 
  - Convert images between Base64, PIL, and OpenCV formats.
  - Batch process images with efficient concurrency.

- **File Downloading:**
  - Download files from Google Drive using service account credentials.
  - Download files from SFTP servers with parallel processing.

- **Resource Management:**
  - Centralized control of thread pools and semaphores for consistent concurrency management across the library.

## Installation

### Install via SSH
```bash
pip install git+ssh://git@github.com/4dg-ai/lib4gd.git
```

### Install via HTTPS with Personal Access Token
```bash
pip install git+https://<username>:<token>@github.com/4dg-ai/lib4gd.git
```

Replace `<username>` with your GitHub username and `<token>` with your Personal Access Token.

## Submodules

- [Image Handling](lib4gd/image_handling/README.md)
- [Google Drive Downloading](lib4gd/image_downloading/README.md#google-drive-downloading)
- [SFTP Downloading](lib4gd/image_downloading/README.md#sftp-downloading)
rvc-infer 2024.6.7.1
Python wrapper for inference with rvc
License: MIT
Requires Python: >=3.10


# **RVC INFER**


[



[![Open In Collab](https://img.shields.io/badge/google_colab-F9AB00?style=flat-square&logo=googlecolab&logoColor=white)](https://colab.research.google.com/drive/1bM1LB2__WNFxX8pyZmUPQZYq7dg58YWG?usp=sharing)






---

A streamlined Python wrapper for inference with RVC. Specifically designed for inference tasks.

---


# how to install


```
pip install rvc_infer

```



# How to Use

### download online models

```
from rvc_infer import download_rvc_model



output = download_online_model(
    url,
    dir_name
)


print(output)


```


### Infernece

```

from rvc_infer import infer_audio


result = infer_audio(
    model_name,
    audio_path,
    f0_change=0,
    f0_method="rmvpe+",
    min_pitch="50",
    max_pitch="1100",
    crepe_hop_length=128,
    index_rate=0.75,
    filter_radius=3,
    rms_mix_rate=0.25,
    protect=0.33,
    split_infer=False,
    min_silence=500,
    silence_threshold=-50,
    seek_step=1,
    keep_silence=100,
    do_formant=False,
    quefrency=0,
    timbre=1,
    f0_autotune=False,
    audio_format="wav",
    resample_sr=0,
    hubert_model_path="hubert_base.pt",
    rmvpe_model_path="rmvpe.pt",
    fcpe_model_path="fcpe.pt"
    )


```

# little note

the `model_name` It will automaticly search a folder containing the pth file and index file.