transivent/src, branch v2.1.0High-level analysis and plotting of waveform transient/transit eventshttp://git.samsci.com/cgit.cgi/transivent/atom?h=v2.1.02025-10-24T05:10:56ZFix import of downsample_to_interval in analysis.py2025-10-24T05:10:56ZSam Scholten2025-10-24T05:10:56Zurn:sha1:6355d2cdadfc4f3f6b9d6fd3f78249a3b776cc50Add resample subpackage with downsampling support2025-10-24T05:05:53ZSam Scholten2025-10-24T05:05:53Zurn:sha1:bb9a461f9933401599c05f87328f835f65faaee0
- Add transivent.resample subpackage for signal preprocessing
- Implement average_downsample() for block averaging downsampling
- Add downsample_to_interval() for interval-based downsampling
- Add target_sampling_interval parameter to detect_from_wfm()
- Preserves signal amplitude and improves SNR through averaging
- Creates uniform time arrays to avoid validation warnings
Fix: Ensure data_path is correctly passed to get_waveform_params() in rd()2025-10-24T01:16:31ZSam Scholten2025-10-24T01:16:31Zurn:sha1:89aab509ccb0a30aa7f02c154a2a91506db7ba6d
When rd() is called with a data_path, it needs to pass this through to
get_waveform_params() so the XML sidecar file can be found. Previously,
if the filename was already an absolute path, data_path would be ignored,
causing FileNotFoundError when XML sidecar was in a different directory.
This fix ensures that:
- If data_path is provided, it's always used with the basename
- If data_path is None, the file's directory is used as data_path
- This maintains backward compatibility while fixing the path resolution
Fix: Add configure_logging back to public API2025-10-23T05:58:09ZSam Scholten2025-10-23T05:58:09Zurn:sha1:d671e06c561337ca5a82fd9aa78a3cb089e90efc
The configure_logging function was accidentally removed from the public API
in __init__.py but was still being used in examples. This restores it to
maintain backward compatibility.
Fixes issue where examples would fail with ImportError.
Release v2.0.02025-10-23T05:22:54ZSam Scholten2025-10-23T05:06:25Zurn:sha1:307bf648d8e3fe852d7daf2fa1567d1896e50f7e
Major API refactoring with simplified public interface.
- Added EventProcessor for high-level event processing workflow
- New utility functions for data preprocessing
- Additional example scripts for different use cases
- Comprehensive test suite
- Updated documentation with migration guide
Initial release v1.0.02025-10-23T05:01:40ZSam Scholten2025-10-23T05:01:40Zurn:sha1:4a7026759e099e5c81cc9c77f19182a23d2f0275
Event detection and analysis pipeline for transient events in time-series data.
- Event detection based on SNR thresholds
- Configurable background estimation and noise analysis
- Visualization with scopekit integration
- Chunked processing for large files