While using OK Grader via Otter Grader and data science tables, the OK grader client-side tests are receiving additional floating point values from Python. In one specific Data 8 Lab, values are passed from a table column after sorting and while the table output shows 4-5 points of precision, the output for one of the three array range values randomly add 9 additional points of precision and a 5 (64.4455000000000005, vise 64.445500, which OK grader expects).
Attempts to rectify this coercing the set_format formatter on the problem column does not work. Changing the format of the input file to eliminate encoding issues does not work. There seems to be no way to eliminate the floating point precision issue.
While using OK Grader via Otter Grader and data science tables, the OK grader client-side tests are receiving additional floating point values from Python. In one specific Data 8 Lab, values are passed from a table column after sorting and while the table output shows 4-5 points of precision, the output for one of the three array range values randomly add 9 additional points of precision and a 5 (64.4455000000000005, vise 64.445500, which OK grader expects).
Attempts to rectify this coercing the set_format formatter on the problem column does not work. Changing the format of the input file to eliminate encoding issues does not work. There seems to be no way to eliminate the floating point precision issue.