Tracking Examples: random module

[bmwoodruff]

I have a suspicion that this module is missing a bunch of submodules, and will need to be worked on more before we look at it. For completeness purposes, I'll put the tracking information here now, but don't start on this one yet.

• Claim a group by making a comment below.
• ~While Nebari is generating examples~ See the log files for the output from Llama3. Spend some time with the functions to see what they do.
• Some of these functions are NOT something we need to add examples to. You'll have to decide that.
• When you've finished the group of 10, check it off.

np.random

np.random Groups:

• [ ] Group 1
• [ ] Group 2
• [ ] Group 3
• [ ] Group 4
• [ ] Group 5
• [ ] Group 6

Group 1	Group 2	Group 3	Group 4	Group 5
beta	geometric	negative_binomial	randn	standard_cauchy
binomial	get_state	noncentral_chisquare	random	standard_exponential
bytes	gumbel	noncentral_f	random_integers	standard_gamma
chisquare	hypergeometric	normal	random_sample	standard_normal
choice	laplace	pareto	ranf	standard_t
default_rng	logistic	permutation	rayleigh	triangular
dirichlet	lognormal	poisson	sample	uniform
exponential	logseries	power	seed	vonmises
f	multinomial	rand	set_state	wald
gamma	multivariate_normal	randint	shuffle	weibull

Group 6
zipf

[bmwoodruff]

After discussion at the triage meeting, adding examples to every function in NumPy is not wanted. Focus on just the functions that don't have examples. After we review the prompt generator, and guarantee that the newly generated examples do indeed add something of more than just marginal value, we can revisit this topic. I'm closing this issue for now.