Coverage increased (+0.05%) to 72.36% when pulling 82b02097acc8991e663ff5710764f3cbe72c11f0 on christianbrodbeck:movietimes into 4edbe61e55b13f3e8af9ff26597a1311b49bf8de on nipy:master.
Coverage increased (+0.05%) to 72.36% when pulling 82b02097acc8991e663ff5710764f3cbe72c11f0 on christianbrodbeck:movietimes into 4edbe61e55b13f3e8af9ff26597a1311b49bf8de on nipy:master.
Coverage increased (+0.05%) to 72.36% when pulling 00aec62b5cd4092ab688c3d2fec679bafe34b0ee on christianbrodbeck:movietimes into 4edbe61e55b13f3e8af9ff26597a1311b49bf8de on nipy:master.
Coverage increased (+0.05%) to 72.36% when pulling 00aec62b5cd4092ab688c3d2fec679bafe34b0ee on christianbrodbeck:movietimes into 4edbe61e55b13f3e8af9ff26597a1311b49bf8de on nipy:master.
Coverage increased (+0.05%) to 72.36% when pulling b99732fcde1a476c3a4f9deab106edbfdd9706b0 on christianbrodbeck:movietimes into 4edbe61e55b13f3e8af9ff26597a1311b49bf8de on nipy:master.
np.arange() sometimes returns values larger than
stop
due to floating point round-off, which becomes relevant with largetime_dilation
values.I hope that's the last fix for determining movie times :)