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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 /examples/example_custom_data.py | |
| parent | cef87e2d8edc93722a3f773401115901835a9681 (diff) | |
| download | transivent-30586f9dbffd225bbd22be74356239d195d13eea.tar.gz transivent-30586f9dbffd225bbd22be74356239d195d13eea.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.
Diffstat (limited to 'examples/example_custom_data.py')
0 files changed, 0 insertions, 0 deletions