Data.Scientific exception when parsing tensorflow/models

[joshvera]

Ran into this exception when generating a scope graph for tensorflow/models. I think the file in question might be global_objectives/loss_layers_test.py.

Unhandled internal exception: fromRational has been applied to a repeating decimal which can't be represented as a Scientific! It's better to avoid performing fractional operations on Scientifics and convert them to other fractional types like Double as early as possible.
CallStack (from HasCallStack):
  error, called at src/Data/Scientific.hs:311:23 in scientific-0.3.6.2-KIIlODNgUeO9twnHef2PBn:Data.Scientific