CODE: num_causal error

[daikitag]

Detect num_causal error in sim_trait function

[daikitag]

This is resolving #94

[codecov]

Codecov Report

Merging #99 (b0b0f80) into main (8bbf1be) will not change coverage.
The diff coverage is 100.00%.

@@            Coverage Diff            @@
##              main       #99   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files            8         8           
  Lines          300       302    +2     
  Branches        31        31           
=========================================
+ Hits           300       302    +2     

Files	Coverage Δ
tstrait/simulate_effect_size.py	100.00% <100.00%> (ø)

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[GertjanBisschop]

LGTM. Shall we do the same for the random_seed variable?

[daikitag]

For the random_seed variable, np.random.default_rng function https://numpy.org/doc/stable/reference/random/generator.html can have more inputs than integers, and I received a suggestion from Jerome saying that we shouldn't be trying to generate errors for that part.

[daikitag]

Thank you for your prompt feedback @GertjanBisschop

[GertjanBisschop]

cool!