semvec/pypi-packages huggingface dataset:
tgzr.nice 0.100
Components and tools for TGZR nice apps
Requires Python: >=3.9

# tgzr.nice
Components and tools for TGZR Nice apps

# Usage

## Static Files

### Register the assets and medias folders

```python
import tgzr.nice.static_files

tgzr.nice.static_files.register()

```
then, use like this:
```
# TODO: write this
```

Note: if you're using a tgzr.nice component which rely on static files to be
registered, it will have call `register()` and you won't need to do it. 

### Get a static file

```python
import tgzr.nice.static_files

tgz_thumbnail_path = tgzr.nice.static_files.get_asset_path(group='tgzr', name='tgzr_thumbnail.png')
tgzr_logo_svg_content = tgzr.nice.static_files.get_asset_content(group='tgzr', name='tgzr_logo_bgblack.svg')

some_video = tgzr.nice.static_files.get_media_path(group='group-name', name='video-name.mp4')

```
lloyd-python 0.1.1
# Lloyd-Python
Requires Python: >=3.6

# Lloyd-Python (0.1.1)

A modular command-line tool for terminal automation, file management, and custom math.

## Installation
If you are developing locally:
\`\`\`bash
pip install -e .
\`\`\`

## Commands & Syntax
Lloyd uses a specific syntax: `lloyd {command} {argument}`.

### 1. System & Info
* **info**: Lists all available words. 
  * Usage: `lloyd info`
* **ex / execute**: Runs a standard terminal command.
  * Usage: `lloyd ex {ls -la}`

### 2. Math & Memory (Core 2)
* **ma / math**: Solves math or stores values in memory. Supports `+`, `-`, `×`, `÷`, `%`.
  * Store a value: `lloyd ma {credits = 500}`
  * Solve with variables: `lloyd ma {credits * 2}`
  * Standard math: `lloyd ma {10 * 5}`

### 3. File Management
* **sea / search**: Lists files in a path.
  * Usage: `lloyd sea {tgt}` or `lloyd sea {/sdcard}`
* **dl / download**: Copies a file into the project `tgt` folder.
  * Usage: `lloyd dl {/path/to/file}`
* **ac / access**: Reads the text content of a file inside `tgt`.
  * Usage: `lloyd ac {notes.txt}`
* **name / rename**: Renames a file inside the `tgt` folder.
  * Usage: `lloyd name {old.txt > new.txt}`

### 4. Maintenance
* **bk / backup**: Triggers the tmux-resurrect backup script.
  * Usage: `lloyd bk`

## Directory Structure
- `src/lloyd/core1.py`: Command Manager.
- `src/lloyd/core2.py`: Math & Memory Specialist.
- `tgt/`: Default target folder for downloads and renames.
ngrok-api 0.19.0
ngrok HTTP API client library
Requires Python: >=3.7

<!-- Code generated for API Clients. DO NOT EDIT. -->

# ngrok API client library for Python

This library wraps the [ngrok HTTP API](https://ngrok.com/docs/api) to make it
easier to consume in Python.

## Installation

This library is published on [PyPi](https://pypi.org/project/ngrok-api/):

    pip install ngrok-api

## Support

The best place to get support using this library is through the [ngrok Slack Community](https://ngrok.com/slack). If you find any bugs, please contribute by opening a new GitHub issue.

## Documentation

A quickstart guide and a full API reference are included in the [ngrok python API documentation](https://python-api.docs.ngrok.com).

## Quickstart

Please consult the [documentation](https://python-api.docs.ngrok.com) for additional examples.

    import ngrok

    # Construct the API client
    client = ngrok.Client("<API KEY>")

    # List all online tunnels
    for t in client.tunnels.list():
        print(t)

    # Create an IP policy that allows traffic from some subnets
    policy = client.ip_policies.create()
    for cidr in ["24.0.0.0/8", "12.0.0.0/8"]:
        client.ip_policy_rules.create(cidr=cidr, ip_policy_id=policy.id, action="allow")
gnnepcsaftcli 0.5.2
CLI for GNNePCSAFT
Requires Python: >=3.10

# GNNPCSAFT CLI

The GNNPCSAFT CLI is an implementation of [our project](https://github.com/wildsonbbl/gnnepcsaft/) that focuses on using Graph Neural Networks ([GNN](https://en.wikipedia.org/wiki/Graph_neural_network)) to estimate the pure-component parameters of the Equation of State [PC-SAFT](https://en.wikipedia.org/wiki/PC-SAFT). We developed this CLI so the scientific community can access the model's results easily.

You can usually find an app for the project at [SourceForge](https://sourceforge.net/projects/gnnepcsaft/).

The CLI can installed with [pipx](https://github.com/pypa/pipx):

```bash
pipx install gnnepcsaftcli
```

## CLI

GNNPCSAFT CLI tool

**Usage**:

```console
gnnepcsaftcli [OPTIONS] COMMAND [ARGS]...
```

**Options**:

- `--install-completion`: Install completion for the current shell.
- `--show-completion`: Show completion for the current shell, to copy it or customize the installation.
- `--help`: Show this message and exit.

**Commands**:

- `pred`: Predict PCSAFT parameters from SMILES...

## `pred`

Predict PCSAFT parameters from SMILES with a GNNPCSAFT model

**Usage**:

```console
pred [OPTIONS]
```

**Options**:

- `--help`: Show this message and exit.