New features:

 - Added functions to download xtalk data file from git repo, removed dependency for setting env

Other changes:

 - Added default path for cli `pycwb xtalk` and fix the suffix support for xbin and more

New features:

 - Added functions for sigmoid fit and merging evt/inj
 - Added more controls for ploting and output in config
 - Added shift support in JobSegment

New features:

 - Added lag support
 - Added new cli `pycwb batch` as standard entrypoint
 - Added new cli `pycwb xtalk` to convert to .npz format

Other changes:

 - Optimized code structures
 - Optimized coding style
 - Allow subflow run in parallel
 - Added limited support for dask_jobqueue
 - Added support to extract non whitened strain
 - Minor bugs fixed

New Features:

 - Pythonized the supercluster module
 - Migrated the workflow to Prefect + Dask
 - Added new cli `pycwb flow` to replace `pycwb run`

Other Changes:

 - Restructured read_data to optimize the workflow
 - Loading Xtalk from .bin will dump .npz file by default to reduce future loading time
 - Added support in monster.load_catalog for loading from .npz directly
 - Changed some functions from logging to print for Prefect compatible logging
 - Changed the functio name _coherence_single_res to coherence_single_res for external prefect flow use
 - Fixed minor bugs and typos
 - Fixed dependencies

Performance improvement:
 - improve the plotting performance significantly
 - remove legacy deepcopy to improve the performance

New Features:
 - unify the cli tool to single entry point - pycwb
 - add support for converting short wavearray to numpy array
 - add Pythonized XTalk (monster) module
 - add gwdatafind support in data reading module
 - add superlag module
 - add module to plot the hrss efficiency from cwb text file
 - add likelihoodWP module (developing/experiment)
 - add prototype: prefect + dask workflow management

 - add error catch to tersorflow code to prevent interruption
 - optimize the conversion to speedup sky statistics extraction
 - remove the legacy deepcopy to increase the performance
 - fix the legend position to significantly increase the plotting performance
 - minor update

 - Fix minor bugs causing mismatch
 - Add more option support for pycwb_search
 - Switching pycbc resample to cwb native resampling
 - Fix the conversion for tdAmp in class Pixel
 - Remove embeded xtalk file to reduce the size, giving prompt instead
 - Speedup plots with numpy
 - Fix thread error by disable the multithreading in plotting
 - Fix missing deps

fix version mismatch problem by removing numba

fix the include search path for debian/ubuntu

fix the extension search path for debian/ubuntu

fix CI issue for deploying to PyPi

Decoupled the conversions from pycwb.types to pycwb.modules.cwb_conversions
Converted classes Pixel, Cluster and related classes to dataclass for better supports of python packages like orjson
Rewrote the waveform reconstruction from calling cwb code to pure python to speedup 5 times
Changed the output to pickle with json
Added support for loading dataclass from json
Rearanged search code to support postproduct each cluster in parallel
Added more options for pycwb_search

Fix doc generation problem on CI

removed unused c files to remove the dependencies on FrameL
Fixed issues for colab
Switch from conda to binaries to speedup the CI

removed unused c files to remove the dependencies on FrameL

switching the WAT core code from O4 to public version

Added support for saving and plotting skymap statistics

Fixed minor issues
Added a server script to prevent CORS error
Added map plot module
Added support for lal timeseries
Added example for pyseobnr

Added waveform reconstruction to search
Added autoencoder glitch classifier to search function
Optimized speed for waveform reconstruction and ROOT conversion
Added support for module dependencies check

Added more log information
Fixed the deps
Fixed likelihood issues when running real event
some minor updates