Closed abelsiqueira closed 3 years ago
Merging #154 (6c150de) into master (d12db21) will increase coverage by
0.03%
. The diff coverage is100.00%
.
@@ Coverage Diff @@
## master #154 +/- ##
==========================================
+ Coverage 90.76% 90.80% +0.03%
==========================================
Files 10 10
Lines 260 261 +1
==========================================
+ Hits 236 237 +1
Misses 24 24
Impacted Files | Coverage Δ | |
---|---|---|
src/auxiliary/logger.jl | 87.50% <100.00%> (+0.83%) |
:arrow_up: |
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It looks great, thanks! Here is an example with logs of what I get with intertwined loops:
[ Info: Tr 0 20 -1.9e+00 -1.7e+00 - 6.3e-01 - - success 4.0e-03 1.6e+01
[ Info: T 3 20 -1.9e+00 -1.7e+00 2.9e-07 6.3e-01 6.3e+01 7.6e-01 success - -
[ Info: F 0 21 - - - 2.8e-02 - - success 1.7e-01 1.0e+00
[ Info: N 1 22 -1.7e+00 -1.7e+00 2.5e-07 2.8e-02 6.3e+01 2.5e-02 success - -
[ Info: F 0 23 - - - 6.3e-05 - - success 7.9e-03 1.0e+00
[ Info: N 2 24 -1.7e+00 -1.7e+00 2.5e-07 6.3e-05 6.3e+01 1.0e-05 success - -
[ Info: F 0 25 - - - 3.3e-10 - - success 1.8e-05 1.0e+00
[ Info: N 3 26 -1.7e+00 -1.7e+00 2.5e-07 3.3e-10 6.3e+01 1.0e-05 success - -
"Execution stats: first-order stationary"
You could also add a line in the unit test to improve the coverage:
log_header([:col_float, :col_int, :col_symbol, :col_string], [Float64, Int, Symbol, String])
log_row([1.0, 1, :one, "one"])
log_row([Float64, Int, Symbol, String])
Thank you!
Related to #151
I ended up using
Type
instead ofVal{Type}
because it was easier.