# Installation

Requires Python 3.12 or 3.13.

```bash
pip install dyco
```

`dyco` has no dependency on `diive`. Everything it needs is bundled.

## From a checkout

Working on `dyco` itself, or running the bundled examples, needs the repository:

```bash
git clone https://github.com/holukas/dyco.git
cd dyco
uv sync
```

Prefix the commands below with `uv run` when working this way.

## Checking the install

```bash
dyco
```

That prints the list of workflows. `dyco --version` prints the installed version.

## Running without data

```bash
dyco tui --demo
```

The terminal UI runs a synthetic pipeline and needs no input files at all. A real 1-hour raw file
from CH-LAE (Lägeren) also ships with the repository — a checkout, not the PyPI package — so the
full pipeline can be exercised without supplying your own data:

```bash
uv run python examples/detect_remove_tlag_realdata.py
```

That detects and removes the tube delay for CO₂ and H₂O across two 30-minute chunks, and prints what
was detected against what was actually applied. Set `DYCO_OUT` to a path to keep the results. Expect
about a minute. `examples/detect_remove_tlag.py` is the synthetic counterpart, where the lag is known
in advance and can be checked.