Cloudbandpy

Key Changes:

1. Fix Type Handling in detection_workflow:
Resolved a type conflict in the `+=` operation within `detection_workflow`.
Ensured compatibility between cloud_bands_map and intermediate computations by explicitly casting data to appropriate types (e.g., uint64).
Improved stability and reliability of cloud band detection across workflows.

2. Improve Visualization (Secondary Update):
Added normalization for large cloud band IDs to sequential integers during plotting.
Updated visualization functions (`plot_time_evolution_blobs`, `plot_time_evolution_inputvar_cloubdands`, etc.) to use normalized IDs for better clarity and distinction in outputs.

3. Increment the year of the copyright

This release introduces significant improvements and bug fixes to the `CloudBand` class in the `cloudbandPy` package, along with minor updates to configuration files. Key changes include:

**Changes in CloudBand Class**

- Updated how the longitude and latitude for cloud band centroids are set in the code.
- Revised the method for generating unique IDs for cloud bands to ensure accuracy and uniqueness.
- Added new variables to the class and its class methods to enhance functionality and usability.

**Other Updates**

- Fixed typos in configuration files for improved clarity.
- Bumped the package version to 1.2.1.

**Important Note**
Files created with version 1.2.0 or earlier are not compatible with version 1.2.1 due to changes in how centroids and IDs are handled. Users are advised to regenerate or update their files to align with this version.

This release introduces netCDF4 capability for saving files. Users can now save cloud bands and their characteristics to netCDF4 files.

CloudBand class has been optimized.

Simplify how the process with dates to lay the ground to further developments (transition to netcdf files)

In cloud band object, add 2 variables:
- connection to potential vorticity structure
- connection to equatorial wave