Julia 1.6.0-rc3

runtests.jl:

using Test

d = Dict("hello" => "world")
@test keys(d) == ["hello"]

Test output:

     Testing Running tests...
Test Failed at /Users/fons/Documents/Pluto.jl/test/runtests.jl:4
  Expression: keys(d) == ["hello"]
   Evaluated: ["hello"] == ["hello"]
ERROR: LoadError: There was an error during testing
in expression starting at /Users/

In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.

E

Besides being a great interactive programming environment, Pluto is also a carefully engineered.... web server? That's right! To make Pluto work, we spent a lot of time into making a static asset server + websocket server. They are actually pretty good! We might want to split it into its own package one day.

As part of making Pluto a good web server (which benefits the project in numerous ways)

Support containers in VectorConstraints: https://discourse.julialang.org/t/adding-a-sos2-constraint-for-a-variable-which-is-defined-over-a-denseaxisarray/59637/2

This means doing something other than collect here:
https://github.com/jump-dev/JuMP.jl/blob/e2b6ee959c827d60f0c8178a813fddb6e21048b2/src/constraints.jl#L481-L486

Perhaps something like

function VectorConstraint( 
 

Matplotlib is able to handle canvas events https://matplotlib.org/stable/users/event_handling.html
Perhaps, after mouse clicking or panning the ticks handling could be delegated back to matplotlib?
So this could perhaps elimate the need in ticks=:native for pyplot backend

I found that function mod2pi is not implemented yet, but mod works. Is there any list of implemented functions? Minimal working example is:

using Zygote

# This is working
gradient(x -> mod(x, 2pi), 1.)

# This is not
gradient(x -> mod2pi(x), 1.)

the following
to_colormap((Reverse(:plasma), 0.6))
gives this error.

StackOverflowError:

Stacktrace:
[1] copy
@ ./broadcast.jl:930 [inlined]
[2] materialize
@ ./broadcast.jl:883 [inlined]
[3] convert_attribute(cm::Vector{Any}, ::AbstractPlotting.Key{:colormap}, n::Int64)
@ AbstractPlotting ~/.julia/packages/AbstractPlotting/FPbrI/src/conversio

In Exercises 10.1, the outer product in Take the outer product of a vector v with itself and assign it to variable cross_v should be cross product.