Hey @NHDaly , I wanted to re-start the discussion on the workflow for generating Notebooks and ".jl" files.

I am trying to get the JuliaAcademy resources all set up in their new repos.

#57

In my opinion, it seems easier to use ".jl" files to create notebooks rather than the other way around. I am open to hearing your thoughts!

@ViralBShah thoughts on either renaming and removing references to JuliaBox or renaming, removing references to JuliaBox, and transferring to JuliaAcademy?

With Julia 1.7.2 this notebook hangs with the following error in the console:

inpage.js:141 Uncaught TypeError: Cannot read properties of undefined (reading 'config')
at inpage.js:141:114697
at inpage.js:141:14027

This screenshot shows the error when the page is refreshed:

2

@xorJane
vgg = VGG19()
gives an error

EOFError: read end of file

Stacktrace:
  [1] read(s::IOStream, #unused#::Type{UInt8})
    @ Base ./iostream.jl:399
  [2] read
    @ ./Enums.jl:22 [inlined]
  [3] parse_doc(io::IOStream)
    @ BSON ~/.julia/packages/BSON/XAts7/src/read.jl:51
  [4] parse_tag(io::IOStream, tag::BSON.BSONType)
    @ BSON ~/.julia/packages/BSON/XAts7/src/read.jl:15
  [5] parse_doc(io::IOStream)
    @ BSON ~/.julia/packages/BSON/XAts7/src/read.jl:53
  [6] parse
    @ ~/.julia/packages/BSON/XAts7/src/read.jl:101 [inlined]
  [7] open(f::typeof(BSON.parse), args::String; kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
    @ Base ./io.jl:330
  [8] open
    @ ./io.jl:328 [inlined]
  [9] parse
    @ ~/.julia/packages/BSON/XAts7/src/read.jl:102 [inlined]
 [10] load
    @ ~/.julia/packages/BSON/XAts7/src/read.jl:104 [inlined]
 [11] weights(name::String)
    @ Metalhead ~/.julia/packages/Metalhead/qsJ7m/src/utils.jl:21
 [12] vgg19_layers()
    @ Metalhead ~/.julia/packages/Metalhead/qsJ7m/src/vgg19.jl:2
 [13] VGG19()
    @ Metalhead ~/.julia/packages/Metalhead/qsJ7m/src/vgg19.jl:39
 [14] top-level scope
    @ In[5]:1
 [15] eval
    @ ./boot.jl:360 [inlined]
 [16] include_string(mapexpr::typeof(REPL.softscope), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:1090

on Julia 1.6beta with Metalhead 0.5.1

We should update the metadata for these to be on the latest Julia Version since they are ~2 years old.

When I use eval(parse(ans)) in JuliaBox or Juno I get:

MethodError: no method matching parse(::Int64)
Closest candidates are:
  parse(!Matched::Type{LibGit2.GitCredential}, !Matched::AbstractString) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/LibGit2/src/gitcredential.jl:73
  parse(!Matched::Type{LibGit2.GitCredentialHelper}, !Matched::AbstractString) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/LibGit2/src/gitcredential.jl:163
  parse(!Matched::Type{Sockets.IPv4}, !Matched::AbstractString) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/Sockets/src/IPAddr.jl:166
  ...

Stacktrace:
 [1] top-level scope at In[4]:1

The link to download doesn't work, and gives an 404.

Wrong link:
https://github.com/JuliaComputing/JuliaBoxTutorials/archive/master.zip

Correct link:
https://github.com/JuliaAcademy/JuliaTutorials/archive/refs/heads/main.zip

I am using Julia version 1.5.0
In exercise 11.2, when I run
@assert A_eigv == [-128.49322764802145, -55.887784553056875, 42.7521672793189, 87.16111477514521, 542.4677301466143]

is true. But when I run the solution of exercise
eigdec = eigen(A)
eigdec.values
A_diag = Diagonal(eigdec.values)
@assert A_diag == [-128.493 0.0 0.0 0.0 0.0; 0.0 -55.8878 0.0 0.0 0.0; 0.0 0.0 42.7522 0.0 0.0; 0.0 0.0 0.0 87.1611 0.0; 0.0 0.0 0.0 0.0 542.468]
ther output is
AssertionError: A_diag == [-128.493 0.0 0.0 0.0 0.0; 0.0 -55.8878 0.0 0.0 0.0; 0.0 0.0 42.7522 0.0 0.0; 0.0 0.0 0.0 87.1611 0.0; 0.0 0.0 0.0 0.0 542.468] Stacktrace: [1] top-level scope at In[141]:1 [2] include_string(::Function, ::Module, ::String, ::String) at ./loading.jl:1091
I think the implementation is correct but want to confirm.
I am thinking if we need to increase the accuracy of the result or use other numbers.

In notebook 11. Basic linear algebra, the last line checks if cross_v is correct, but there is no instruction or anything to it.

When I try to do this line in the first tutorial (01):

sum = 3 + 7

Then I get this error

ERROR: cannot assign variable Base.sum from module Main

I guess because it's some sort of reserved word in Base.

Does sum need to be renamed?

The licensing issue identified to us by Software Carpentry is the Licensing.md file in this directory, which has a statement about copyright. Can we simply remove this material, or should we replace it with other licensing info making it clear this material is meant to be free and open? @ViralBShah @DeepakVinchhi

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.

On Julia Academy, Multiple Dispatch comes before "Julia is fast" so Multiple Dispatch should be 9 and "Julia is fast" should be 10 potentially.

I am trying to learn Julia and I come across this set of great tutorials.

However, when something in the tutorial went wrong, I am not yet equipped to fix it.

for the prefix notebook, the definition of DummyArray gave out an error syntax: extra token "DummyArray" after end of expression

the definition is as below:

isdefined(:DummyArray) || type DummyArray
    length :: Int
    read :: Vector
    history :: Vector{Any}
    DummyArray(length, read=[], history=[])=new(length, read, history)
end

I tried JuliaBox to run the same code, and it yielded the same error message. I am a bit lost as to what the example is trying to demonstrate and how exactly should I define a type in Julia? is it with type or struct keyword? I tried struct and no luck.

Hey @nassarhuda should we remove the DS notebooks from here: https://github.com/JuliaAcademy/JuliaTutorials/tree/main/introductory-tutorials/broader-topics-and-ecosystem/intro-to-julia-for-data-science in favor of the ones in the separate Repo you created?

While working through some of the tutorials I've been encountering AssertionError when checking my answer against the provided solution. For the most part, I belive the error occurs due to a difference in the number of decimals returned from my code compared to the provided solution. In these cases, the issue has been resolved by replacing == with ≈ (\approx) in the assertion line. However, this does not work in exercise 11.2 in tutorial 12. The exercise is to diagonalize an eigenvector and subsequently asserting it against a provided "solution" matrix. However, running the assertion line returns an AssertionError, when asserting both equality (==) and approximate equality (≈).

I've been reading through my code multiple times now, and I am at a loss at what causes the AssertionError. The values in my diagonal matrix (A_diag) are seemingly identical to the solution matrix, and setting the statement to approximately equal (\approx) renders the same error. My assumption is that I can count out decimal error here, so what may cause the error? Also, even if the assertion renders the statements unequal, why would this will return an error and not FALSE?

My code example:

julia> using LinearAlgebra;

julia> A =
[
 140   97   74  168  131
  97  106   89  131   36
  74   89  152  144   71
 168  131  144   54  142
 131   36   71  142   36
];

julia> A_eigv = eigen(A).values;

julia> A_diag = Diagonal(A_eigv)

5×5 Diagonal{Float64, Vector{Float64}}:
 -128.493     ⋅        ⋅        ⋅         ⋅ 
     ⋅     -55.8878    ⋅        ⋅         ⋅ 
     ⋅        ⋅      42.7522    ⋅         ⋅ 
     ⋅        ⋅        ⋅      87.1611     ⋅ 
     ⋅        ⋅        ⋅        ⋅      542.468

julia> @assert A_diag ==  [-128.493    0.0      0.0      0.0       0.0;
    0.0    -55.8878   0.0      0.0       0.0;
    0.0      0.0     42.7522   0.0       0.0;
    0.0      0.0      0.0     87.1611    0.0;
    0.0 0.0      0.0      0.0     542.468]

AssertionError: A_diag == [-128.493 0.0 0.0 0.0 0.0; 0.0 -55.8878 0.0 0.0 0.0; 0.0 0.0 42.7522 0.0 0.0; 0.0 0.0 0.0 87.1611 0.0; 0.0 0.0 0.0 0.0 542.468]

Stacktrace:
 [1] top-level scope
   @ In[90]:1
 [2] eval
   @ ./boot.jl:360 [inlined]
 [3] include_string(mapexpr::typeof(REPL.softscope), mod::Module, code::String, filename::String)
   @ Base ./loading.jl:1094

julia> @assert A_diag ≈ #\approx
[-128.493    0.0      0.0      0.0       0.0;
    0.0    -55.8878   0.0      0.0       0.0;
    0.0      0.0     42.7522   0.0       0.0;
    0.0      0.0      0.0     87.1611    0.0;
    0.0 0.0      0.0      0.0     542.468]

AssertionError: A_diag ≈ [-128.493 0.0 0.0 0.0 0.0; 0.0 -55.8878 0.0 0.0 0.0; 0.0 0.0 42.7522 0.0 0.0; 0.0 0.0 0.0 87.1611 0.0; 0.0 0.0 0.0 0.0 542.468]

Stacktrace:
 [1] top-level scope
   @ In[97]:1
 [2] eval
   @ ./boot.jl:360 [inlined]
 [3] include_string(mapexpr::typeof(REPL.softscope), mod::Module, code::String, filename::String)
   @ Base ./loading.jl:1094

FYI: I also posted this issue on StackOverflow.

How to add memory feature in this reserve calculation or add a global variable type in a Julia module structure-

Code-
function reserves_calc(projection::Projection)
max_t = policy_term(projection)* 12
annual_disc_rate = 0.08
#monthly_disc_rate = maximum(BasicTerm_ME.disc_rate(t,projection)) #0.0064

    res_l = zeros(max_t + 1)  # Preallocate array for inc_in_res

    for t in max_t:-1:0
        if t == max_t
            res_l[t+1] = 0#BasicTerm_ME.reserves(t, projection)
        elseif t > proj_len(projection)[] 
            res_l[t+1] = 0.0
        else
            res_l[t+1] = max(-10000000,(val_net_cashflow(t+1, projection) .+ res_l[t+2]) / (1 .+ maximum(disc_rate(t,projection))))#BasicTerm_ME.reserves(t, projection) #- BasicTerm_ME.reserves((t-1), projection)
        end
    end
    return res_l
end


function reserves(t,projection)#, projection::Projection)
    x = reserves_calc(projection)
    return x[t]
end    

I want to use the results of res_l array in reserves function without running reserves_calc function each time.

I think that https://github.com/JuliaComputing/JuliaBoxTutorials/blob/master/introductory-tutorials/intro-to-julia/04.%20Loops.ipynb should be adjusted to reverse the indexing order in the section for loops.

Maybe a brief note to the performance reasons behind this and a link to https://docs.julialang.org/en/v1/manual/performance-tips/#Access-arrays-in-memory-order,-along-columns-1 would be nice as well.

Hi there. It's my first day coding & I really appreciate this resource and I find it more or less easy to follow. However, I would recommend either providing a link to a glossary or simply having a glossary available for absolute beginners to explain terminology such as those referring to the various data types & examples given. Just to make the language a bit more accessible.

I'm enjoying the tutorial & like the small exercises. I believe the very first page should also include an exercise or two to make sure people understand how to search for documents. It was also unclear if the information was relevant because of the heading "Jupyter Notebook."

Thank you again for the hard work & service.

every time I run this codes
using Pkg
Pkg.add("ORCA")
Pkg.add("PlotlyJS")
using PlotlyJS
Pkg.build("WebIO")
Pkg.build("ORCA")
plotlyjs()
I get these error what I should do,

ORCA → C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\packages\ORCA\jdK40\deps\build.log
┌ Error: Error building ORCA:
│ internal/modules/cjs/loader.js:800
│ throw err;
│ ^
│
│ Error: Cannot find module './internal/streams/stream'
│ Require stack:
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\node_modules\readable-stream\lib_stream_readable.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\node_modules\readable-stream\readable.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\tracker-stream.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\tracker-group.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\index.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\npmlog\log.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\bin\npm-cli.js
│ at Function.Module._resolveFilename (internal/modules/cjs/loader.js:797:15)
│ at Function.Module._load (internal/modules/cjs/loader.js:690:27)
│ at Module.require (internal/modules/cjs/loader.js:852:19)
│ at require (internal/modules/cjs/helpers.js:74:18)
│ at Object. (C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\node_modules\readable-stream\lib_stream_readable.js:50:14)
│ at Module._compile (internal/modules/cjs/loader.js:959:30)
│ at Object.Module._extensions..js (internal/modules/cjs/loader.js:995:10)
│ at Module.load (internal/modules/cjs/loader.js:815:32)
│ at Function.Module._load (internal/modules/cjs/loader.js:727:14)
│ at Module.require (internal/modules/cjs/loader.js:852:19) {
│ code: 'MODULE_NOT_FOUND',
│ requireStack: [
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\node_modules\readable-stream\lib\_stream_readable.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\node_modules\readable-stream\readable.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\tracker-stream.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\tracker-group.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\index.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\npmlog\log.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\bin\npm-cli.js'
│ ]
│ }
│ internal/modules/cjs/loader.js:800
│ throw err;
│ ^
│
│ Error: Cannot find module './internal/streams/stream'
│ Require stack:
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\node_modules\readable-stream\lib_stream_readable.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\node_modules\readable-stream\readable.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\tracker-stream.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\tracker-group.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\index.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\npmlog\log.js
│ - C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\bin\npm-cli.js
│ at Function.Module._resolveFilename (internal/modules/cjs/loader.js:797:15)
│ at Function.Module._load (internal/modules/cjs/loader.js:690:27)
│ at Module.require (internal/modules/cjs/loader.js:852:19)
│ at require (internal/modules/cjs/helpers.js:74:18)
│ at Object. (C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\node_modules\readable-stream\lib_stream_readable.js:50:14)
│ at Module._compile (internal/modules/cjs/loader.js:959:30)
│ at Object.Module._extensions..js (internal/modules/cjs/loader.js:995:10)
│ at Module.load (internal/modules/cjs/loader.js:815:32)
│ at Function.Module._load (internal/modules/cjs/loader.js:727:14)
│ at Module.require (internal/modules/cjs/loader.js:852:19) {
│ code: 'MODULE_NOT_FOUND',
│ requireStack: [
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\node_modules\readable-stream\lib\_stream_readable.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\node_modules\readable-stream\readable.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\tracker-stream.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\tracker-group.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\are-we-there-yet\index.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\node_modules\npmlog\log.js',
│ 'C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\node_modules\npm\bin\npm-cli.js'
│ ]
│ }
│ ERROR: LoadError: failed process: Process('C:\Users\Acer\.juliapro\JuliaPro_v1.4.2-1\artifacts\345df2b824d1eacefab89d560a9e929ff24c0537\npm.cmd' config set scripts-prepend-node-path true, ProcessExited(1)) [1]
│
│ Stacktrace:
│ [1] pipeline_error at .\process.jl:525 [inlined]
│ [2] run(::Cmd; wait::Bool) at .\process.jl:440
│ [3] run at .\process.jl:438 [inlined]
│ [4] main() at C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\packages\ORCA\jdK40\deps\build.jl:4
│ [5] top-level scope at C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\packages\ORCA\jdK40\deps\build.jl:30
│ [6] include(::String) at .\client.jl:439
│ [7] top-level scope at none:5
│ in expression starting at C:\Users\Acer.juliapro\JuliaPro_v1.4.2-1\packages\ORCA\jdK40\deps\build.jl:30
└ @ Pkg.Operations C:\Users\julia\AppData\Local\Julia-1.4.2\share\julia\stdlib\v1.4\Pkg\src\Operations.jl:892

I'm learning Julia and trying to translate these tutorials into Chinese. What shoud I notice to do it properly?

PS: I'm a green hand in Github. I'm even not sure that is "Issues" the place to ask questions like this?

*_*

Hi there.

I also wanted to add separately that the validation results function doesn't really explain what is wrong or missing so it's a bit confusing. Also, it seems that given the information on the page, there is more than one "correct" answer so, perhaps, those can be taken into account somehow.

Nonetheless, I am enjoying the tutorial so I'm motivated to see it through. Thanks again.

Not sure if this is the right forum for this, but I have some issue with the last line in lesson 01. "Getting started". The line reads Please click on Validate on the top, once you are done with the exercises. However, I can not find any button, or any text for that matter, with this word. Am I doing something wrong, or is this line redundant?

Hey @bkamins, should we remove the DataFrames notebooks from here as the ones in the DataFrames JA repo seem to be the most up to date.

A minor typo is present in ./introductory-tutorials/intro-to-julia/03. Data structures.ipynb in the very last line.

Hi,

these are great examples/tutorials for everyone, who wants to start using Julia with Jupyter.
IMHO, it is required to have a license added to your repository to allow others to use/distribute your work.

Best,
Jens Henrik

I was working through the lectures for the Foundations of Machine Learning tutorial and cloned the Jupyter notebook into my local instance of VS Code. Simple fix is to add using Statistics before mean function is called. Will submit pull request shortly.

In the 11. Basic linear algebra
for #### Solving linear systems
The problem $Ax=b$ for square $A$ is solved by the \ function.
When I do the
A\b
I get this :
LinearAlgebra.SingularException(3)

Stacktrace:
[1] checknonsingular at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/LinearAlgebra/src/factorization.jl:12 [inlined]
[2] #lu!#99(::Bool, ::Function, ::Array{Float64,2}, ::Val{true}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/LinearAlgebra/src/lu.jl:41
[3] #lu! at ./none:0 [inlined]
[4] #lu#105(::Bool, ::Function, ::Array{Int64,2}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/LinearAlgebra/src/lu.jl:251
[5] lu at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/LinearAlgebra/src/lu.jl:242 [inlined]
[6] (::Array{Int64,2}, ::Array{Float64,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/LinearAlgebra/src/generic.jl:870
[7] top-level scope at In[10]:1