transivent/src, branch v2.1.1High-level analysis and plotting of waveform transient/transit eventshttp://git.samsci.com/cgit.cgi/transivent/atom?h=v2.1.12025-10-28T03:22:50ZRemove redundant monotonic time array check2025-10-28T03:22:50ZSam Scholten2025-10-28T03:22:50Zurn:sha1:30586f9dbffd225bbd22be74356239d195d13eea
Time arrays are generated deterministically using np.linspace,
so checking for monotonicity is redundant and causes issues
with very large arrays due to float32 precision limits.
This removes the check entirely since any non-monotonic
time array would indicate a fundamental issue with numpy
itself, not our code.
Bump version to 2.1.12025-10-28T03:02:28ZSam Scholten2025-10-28T03:02:28Zurn:sha1:cef87e2d8edc93722a3f773401115901835a9681Fix time array monotonicity for very large arrays2025-10-28T02:57:55ZSam Scholten2025-10-28T02:57:55Zurn:sha1:1c33fe6e84dd2dc732f2c56064494388bdee7bb2
- Generate time arrays with float64 precision before converting to float32
- This prevents precision loss that causes non-monotonic time arrays
- Affects datasets with >10 million samples (e.g., 200M points at 20 MHz)
- Changed empty time array warning to raise RuntimeError for better error handling
- Applied fix to both rd() and rd_chunked() functions
Remove time array tolerance check2025-10-28T02:48:42ZSam Scholten2025-10-28T02:48:42Zurn:sha1:a6770b50fcbc49bbbdd25ed4b7511fdd1498e864
- Simplified monotonic check to just require positive differences
- Removed machine epsilon tolerance that was too strict for ns-scale timing
- Increased marker size in diffusion scatter plots
- Added version bump to 2.1.0
- Fixed edge cases in ACF calculation and diffusion processing
drop loguru2025-10-27T09:17:05ZSam Scholten2025-10-27T09:09:25Zurn:sha1:20320a87d98c8517869f5e7c0fcd66bfdc090713Fix 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