Metadata-Version: 2.2
Name: pybes3
Version: 0.4.3
Summary: Unofficial Python module for BES3
Author-Email: Mingrun Li <mrun_lee@foxmail.com>
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Operating System :: OS Independent
Project-URL: Homepage, https://github.com/mrzimu/pybes3
Project-URL: Documentation, https://pybes3.readthedocs.io/en/stable/
Requires-Python: <3.15,>=3.9
Requires-Dist: uproot>=5.6.8
Requires-Dist: awkward
Requires-Dist: numba
Requires-Dist: vector!=1.7.0
Requires-Dist: uproot-custom==2.3.*
Description-Content-Type: text/markdown

# pybes3

`pybes3` is a Python module that aims to make BES3 users easier to work with Python.

> [!TIP]
> If you have any suggestions, questions, or issues, please feel free to open an [issue](https://github.com/mrzimu/pybes3/issues/new/choose).

It is highly recommended to take a look at these Python modules before using `pybes3`:

- [`awkward`](https://awkward-array.org/doc/stable/index.html): A Python module that can handle ragged-like array.
- [`uproot`](https://uproot.readthedocs.io/en/stable/): A ROOT I/O Python module. `pybes3` uses `uproot` to read BES3 ROOT files.

Visit the [documentation](https://pybes3.readthedocs.io/en/stable/) for more information about installation, usage, and examples.

## Installation

> [!NOTE]
> `pybes3` requires Python 3.9 or higher.

### Users on lxlogin server

"lxlogin server" means the login server of computation clusters of IHEP. If you are not using lxlogin server, please skip to [Install `pybes3` using pip](#install-pybes3-using-pip).

Since there is a quota limitation on user's home directory (`~/`), you need to create symbolinks for `~/.local` and `~/.cache`, which contains pip packages and caches that installed in "user mode":

```bash
# Check whether a `.local` directory and `.cache` already exists.
# If so, move it to somewhere else.
ls -a ~
mv ~/.local /path/to/somewhere/
mv ~/.cache /path/to/somewhere

# If no `.local` or `.cache` exists, create them
mkdir /path/to/somewhere/.local
mkdir /path/to/somewhere/.cache

# After moving or creating them, link them back to `~`
ln -s /path/to/somewhere/.local ~/.local
ln -s /path/to/somewhere/.cache ~/.cache
```

### Install `pybes3` using pip

```bash
pip install pybes3
```

### Using `pybes3` under `BOSS8` environment

If you are using `pybes3` under `BOSS8` environment, you MUST run following commands after setting up `BOSS8` environment:

```bash
export PYTHONPATH=`python -m site --user-site`:$PYTHONPATH
export PATH=`python -m site --user-base`/bin:$PATH
```

> [!WARNING]
> DO NOT add these commands to your shell configuration file (e.g. `~/.bashrc`), since they will conflict with the default python environment (without `BOSS8`).

## Features

At the moment, `pybes3` provides:

- BES3 data reading

    Read `rtraw`, `rec`, `dst`, and even `raw` files.

- Digi identifier

    Convert digi identifier id number to a human-readable format.

- Global ID

    Global ID numbers for each detector element in `pybes3`.

- Geometry

    Retrieve and compute geometry information of detectors.

- Helix operations

    Parse and transform helix parameters.

## Performance

`pybes3` is designed to be fast and efficient. It uses `numba` to accelerate some of the operations, such as helix operations, digi identifier conversion, etc. When `numba` is not available, `pybes3` will use C++ to accelerate the operations.

### Data reading

A simple benchmark is provided to compare the performance of `pybes3` and `BOSS8` in reading `dst` files:

- For `pybes3`, we directly read out the `Event` tree:

    ```python
    import uproot
    import pybes3

    n_evt = ... # number of events to read
    files = [...] # list of ROOT files to read

    data_array = uproot.concatenate({f: "Event" for f in files}, entry_stop=n_evt)
    ```

- For `BOSS8`, since when reading reconstruction data, it will load a `RecMakerAlg` algorithm for each event, which slows down the reading performance significantly (4~5 times slower than pure reading), we test 2 cases:

    - A loop on all events with default job-options (with `RecMakerAlg` algorithm):

        ```
        #include "$ROOTIOROOT/share/jobOptions_ReadRec.txt"
        #include "$OFFLINEEVENTLOOPMGRROOT/share/OfflineEventLoopMgr_Option.txt"

        EventCnvSvc.digiRootInputFile = { ... }; // list of ROOT files to read
        ApplicationMgr.EvtMax = ...; // number of events to read
        MessageSvc.OutputLevel = 7; // suppress messages
        ```

    - A loop on all events without loading `RecMakerAlg` algorithm. This is similar to reading `rtraw` files and is the closest case to raw `ROOT` reading:

        ```
        ApplicationMgr.ExtSvc += {"EvtPersistencySvc/EventPersistencySvc"};
        ApplicationMgr.ExtSvc +={"RootEvtSelector/EventSelector","RootCnvSvc/EventCnvSvc"};
        EventPersistencySvc.CnvServices += {"EventCnvSvc"};
        #include "$OFFLINEEVENTLOOPMGRROOT/share/OfflineEventLoopMgr_Option.txt"

        EventCnvSvc.digiRootInputFile = { ... }; // list of ROOT files to read
        ApplicationMgr.EvtMax = ...; // number of events to read
        MessageSvc.OutputLevel = 7; // suppress messages
        ```

The machine used for the benchmark is a `Intel i7-12700` with `Great Wall GW7000 4TB` SSD. The operating system is `AlmaLinuxOS9` on `WSL2`. The number of events is set to `1000`, `5000`, `10000`, `50000`, `100000`, `500000`, and `1000000`.

The results are shown below:

<div align="center">
    <picture>
        <source srcset="./docs/image/io-benchmarking-dark.svg" media="(prefers-color-scheme: dark)">
        <img src="./docs/image/io-benchmarking-light.svg" alt="Dummy Reading Performance">
    </picture>
</div>

The fitting results with a linear function is:

|                            | Initialization time (s) | Slope (s/10k-event) |
| :------------------------: | :---------------------: | :-----------------: |
| BOSS8 (with `RecMakerAlg`) | 0.615                   | 2.766               |
| BOSS8 (no `RecMakerAlg`)   | 0.451                   | 0.338               |
| pybes3                     | 1.135                   | 0.326               |

The result shows that `pybes3` is also comparable to `BOSS8` when `RecMakerAlg` is not loaded, which means that the reading performance of `pybes3` is close to the reading performance of `ROOT` itself. `pybes3` is several times faster than `BOSS8` with default settings, and slower when reading small number of events (~1000), since the module importing and initialization time is counted in the benchmark.

Since users may have to use the default settings of `BOSS` to read reconstruction data, `pybes3` is still several times faster in this case.
