semvec/pypi-packages huggingface dataset:
tree2structure 0.1.1
Convert tree-style folder structure into real files and folders with comments
License: MIT
Requires Python: >=3.8
Keywords: parser, project scaffolding, file generator

# tree2structure

Convert a textual tree-style folder structure into nested Python dicts and generate real files/folders with inline comments.

## Install

```bash
  pip install tree2structure
```

## Usage

```python
from tree2structure.parser import parse_structure
from tree2structure.generator import create_from_structure

structure = parse_structure(your_string_raw_tree)
create_from_structure(structure, base_path="your_project/")
```
foo-cv 0.2.3
Separate content and style for CV generation
License: MIT
Requires Python: <4.0,>=3.11

# FOO CV

[![codecov](https://codecov.io/gh/drorata/foo-cv/branch/main/graph/badge.svg?token=N44MD6UJ3Z)](https://codecov.io/gh/drorata/foo-cv)
![PyPI](https://img.shields.io/pypi/v/foo-cv)
![GitHub](https://img.shields.io/github/license/drorata/foo-cv)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/foo-cv)
![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/drorata/foo-cv/test_code.yml)

> Separate content and design for CV

We provide two files:
- Content given as JSON and
- a Jinja2 LaTeX template.

The provided Python script merely connects the two and generates a TeX file that can then be processed using PDFLaTeX.

[`json_resume`](https://github.com/prat0318/json_resume) is the main source of inspiration for this.

## Try this out

You can easily try this out once you have [`task`](https://taskfile.dev/) and [`podman`](https://podman.io/) installed.
You will need to:
1. Get the environment ready; run `poetry install` for that.
1. Build a helper docker image: `task build-LaTeX-image` will take care of that. Next,
2. Run the full flow: `task build-cv` which will generate a PDF.

## The profile picture

The [picture](./profile-pic.jpg) was created using [Dalle](https://labs.openai.com/) given the description:

> Create a portrait of Elrond mixed with Worf