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Currently, FlatLanguagePred and KeraLanguagePred spit out large blocks of problematic expressions when the input does not fit into the expected fragment. It is impossible to figure the root of the problem when running apalache on a real spec. They should point to the cause of the problem.
The text was updated successfully, but these errors were encountered:
Currently,
FlatLanguagePred
andKeraLanguagePred
spit out large blocks of problematic expressions when the input does not fit into the expected fragment. It is impossible to figure the root of the problem when running apalache on a real spec. They should point to the cause of the problem.The text was updated successfully, but these errors were encountered: