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| author | Sam Scholten | 2025-10-28 13:22:50 +1000 |
|---|---|---|
| committer | Sam Scholten | 2025-10-28 13:22:50 +1000 |
| commit | 30586f9dbffd225bbd22be74356239d195d13eea (patch) | |
| tree | ca9e686ab45b3fcf72327f4d651f864b28b8a9db | |
| parent | cef87e2d8edc93722a3f773401115901835a9681 (diff) | |
| download | transivent-main.tar.gz transivent-main.zip | |
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.
| -rw-r--r-- | src/transivent/utils.py | 8 |
1 files changed, 1 insertions, 7 deletions
diff --git a/src/transivent/utils.py b/src/transivent/utils.py index 96874c5..afe5a99 100644 --- a/src/transivent/utils.py +++ b/src/transivent/utils.py @@ -93,13 +93,7 @@ def validate_detection_inputs( "Validation Warning: Input arrays are empty. This may lead to unexpected behaviour." ) - # Check that time is monotonic - if len(time) > 1: - if not np.all(np.diff(time) > 0): - raise ValueError( - f"Time array is not monotonic increasing. " - f"This indicates a bug in time array generation." - ) + # Time array is generated deterministically, so no need to check monotonicity # Check parameter validity if snr_threshold <= 0: |