semvec/pypi-packages huggingface dataset:
miniwdl-backend-bare 0.0.1
miniwdl bare backend
Requires Python: >=3.6

# miniwdl-backend-bare

This bare [container backend](https://miniwdl.readthedocs.io/en/latest/runner_backends.html) plugin for [miniwdl](https://github.com/chanzuckerberg/miniwdl) runs WDL task natively within the host enviroment. This plugin proves particularly advantageous for containerizing WDL workflows using Docker.

To install and apply this plugin:

```bash
pip3 install miniwdl-backend-bare
## Or 
# pip3 install git+https://github.com/ghbore/miniwdl-backend-bare
export MINIWDL__SCHEDULER__CONTAINER_BACKEND=bare
```
cld-media-library 0.1.0
Import Cloudinary's Media Library Widget as a compoent
Requires Python: >=3.7

# streamlit_cld_media_library

Import Cloudinary's [Media Library Widget](https://cloudinary.com/documentation/media_library_widget) as a component in Streamlit application.

## Installation instructions 

```sh
pip install cld_media_library
```

## Usage instructions

```python
import streamlit as st

from streamlit_cld_media_library import cld_media_library

value = streamlit_cld_media_library(cloud_name="<<your cloudinary account name>>", api_key="<<your api key>>")

st.write(value)
```

## Detailed Usage

Media Library Widget is a method to embed Cloudinary's Digital Asset Management (DAM) capability into your application. The widget has a bunch of [configuration parameters](https://cloudinary.com/documentation/media_library_widget#2_set_the_configuration_options). For simplicity, this python module exposes the following:

| Parameter      | Purpose                                                                                                                                                            | Default Value                                |
| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------- |
| cloud_name     | This is your Cloudinary account name. To retrieve it, you may have to login to the Cloudinary's console and get the details from \`Programmable Media\` dashboard. | demo                                         |
| api_key        | This is part of your access credentials to Cloudinary. You can get this information from the same place as \`cloud_name\`.                                         | 123456 - this is an invalid value by design. |
| remove_header  | When the widget loads, it has the Cloudinary logo on top. You can suppress this by setting a value to \`True\`                                                     | False (i.e. display the logo)                |
| max_files      | Users can choose one or more files. Set this parameter to control the number of files that a user can select.                                                      | 5                                            |
| button_caption | ML Widget is invoked on clicking a button. This option controls the name of this button.                                                                           | "Select Image or Video"                      |
| insert_caption | When a user selects an image/video on the ML widget, a call to action button is activated. This controls the name of this call-to-action button.                   | "Insert"                                     |
streamlit-cld-media-library 0.1.0
Import Cloudinary's Media Library Widget as a compoent
Requires Python: >=3.7

# streamlit_cld_media_library

Import Cloudinary's Media Library Widget as a compoent

## Installation instructions 

```sh
pip install streamlit_cld_media_library
```

## Usage instructions

```python
import streamlit as st

from streamlit_cld_media_library import streamlit_cld_media_library

value = streamlit_cld_media_library()

st.write(value)
testproject-121212 0.1
A package for working with Riemannian manifolds in Python

# Riemannian Manifold

The Riemannian Manifold package provides tools and utilities for working with Riemannian manifolds in Python. It includes functionality for computing geodesics, defining metrics, and performing various operations on Riemannian manifolds.

## Features

- **Geometric Objects**: Efficiently compute the Christoffel symbols, Riemann tensor and derived quantities symbolically
- **Geodesics**: Compute geodesics on Riemannian manifolds numerically
- **Transport**: Implement parallel transport operations on Riemannian manifolds numerically.

## Installation

You can install the Riemannian Manifold package using pip:

```bash
pip install riemannian-manifold
````
jfkldjf-lk 0.1
A package for working with Riemannian manifolds in Python

# Riemannian Manifold

The Riemannian Manifold package provides tools and utilities for working with Riemannian manifolds in Python. It includes functionality for computing geodesics, defining metrics, and performing various operations on Riemannian manifolds.

## Features

- **Geometric Objects**: Efficiently compute the Christoffel symbols, Riemann tensor and derived quantities symbolically
- **Geodesics**: Compute geodesics on Riemannian manifolds numerically
- **Transport**: Implement parallel transport operations on Riemannian manifolds numerically.

## Installation

You can install the Riemannian Manifold package using pip:

```bash
pip install riemannian-manifold
````
myprojectinpythodjfklajf-lkasjn 0.1
A package for working with Riemannian manifolds in Python

# Riemannian Manifold

The Riemannian Manifold package provides tools and utilities for working with Riemannian manifolds in Python. It includes functionality for computing geodesics, defining metrics, and performing various operations on Riemannian manifolds.

## Features

- **Geometric Objects**: Efficiently compute the Christoffel symbols, Riemann tensor and derived quantities symbolically
- **Geodesics**: Compute geodesics on Riemannian manifolds numerically
- **Transport**: Implement parallel transport operations on Riemannian manifolds numerically.

## Installation

You can install the Riemannian Manifold package using pip:

```bash
pip install riemannian-manifold
````