Need modification to existing multiline Perl replacement code [closed] - perl

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I had a recent question earlier this month which was solved by #jm666 which involved multi line text replacement.
I have an issue in that, although this works perfectly as requested, it results in the removal of some text at the very end of the text file which I need to retain.
The line added to my process file which strips the blocks of text is below:
$contents = join '', grep { !/Layer\s*=\s*7\b/ } split /^(?=CHARTS)/m, $contents;
The data below shows what is being stripped. Each block of text commences with CHARTS and ends with [28]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
There is then a blank line and we are on to the next block, which again commences with CHARTS.
The line shown at the start of the question correctly strips each entire block (from start to finish) where Layer=7, which is in the 4th line of each block.
The very last block in the file is then followed by some information which formats things. That information commences with STACK. Below the sample code below I show that STACK info.
I have posted a 2 min video which describes the issue in detail
CHARTS
Position=574,1988,1013,2652,-1,-1
Color=14671839
Layer=7
[0] Font=MS SAN SERIF,10,0,F,F,
[1] Show=F,F,F,T,T,F,T,F,F,T,
[2] Scale=F,F,T,F,F,F,F,F,0,T,F,
[3] Grid=F,F,F,F,1,
[4] Paint=F,F,F,0,0,0,
[5] Bars=1,2000,1970,
[6] Colors=65793,0,0,8388608,32767,65793,0,0,
[7] Theme=6,0,255,65280,7566080,0,16777215,0,
[8] Candles=F,F,F,F,1,F,
[9] Filter=T,F,F,F,F,0,0
[10] Type=F,F,F,F,15,5083,
[11] Spacing=5,236,0,10,4,-7,73,
[12] Range=227.8,107.2,2.05,0.01
[13] Volume=0,100,0,0,0,0,
[14] Refresh=0,0,0,
[15] Feed=5,5,F,
[16] Template=
[17] Symbol=#OJ#.W
[18] SubSizes=0,0,0,0,0,0,0,0,0,0,
[19]= <<< Andrews Pitchfork 1 >>>
[20]=61,5085,0,1,192,0,0,0,0,0,0,0,0,0,0,0,0,
[21]=16711935,16711935,16711935,255,16711935,255,16711935,16711935,65793,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[22]=2,7,0,0,0,64.58475,226.99976,97.1011,35,2,0,0,25,38.2,50,61.8,75,100,0,0,0,0,0,0,0,0,
[23]=146,0,0,2,1120518,0,1120127,255,1090220,1,3,3,1,1,4,1,1,3,1,1,1,0,0,0,0,
[24]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[25]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[26]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[27]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[28]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[19]= <<< c:\XXXXX\Alerts\AUD.wav 103.47 672.59 >>>
[20]=65,5088,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,
[21]=65280,65280,8421376,0,255,255,16711680,16711680,65280,16744447,32767,0,0,0,0,0,0,0,0,0,0,0,0,0,
[22]=0,0,0,0,2730.6001,103.47184,672.59155,103.47184,5,0,0,0,0,0,0,1,0,0.1,0,0,0,0,0,0,0,0,
[23]=3,0,0,0,1120914,0,1170120,255,1120914,1,5,5,1,0,1,1,1,1,1,1,1,0,0,0,0,
[24]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,26,99,58,92,69,110,115,105,103,110,49,
[25]=48,92,65,108,101,114,116,115,92,65,85,68,46,119,97,118,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[26]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[27]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[28]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[19]= <<< Line t 160.65 729.77 >>>
[20]=65,5089,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[21]=16711935,16711680,8421376,0,255,255,16711680,16711680,65280,16744447,32767,0,0,0,0,0,0,0,0,0,0,0,0,0,
[22]=0,0,0,0,2892.6001,160.65494,729.77466,160.65494,5,0,0,0,0,0,0,1,0,0.1,0,0,0,0,0,0,0,0,
[23]=1,0,0,0,1151023,0,1170120,255,1151023,1,2,2,1,0,1,1,1,1,1,1,1,0,0,0,0,
[24]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[25]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[26]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[27]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[28]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
CHARTS
Position=-462,3460,-23,4124,-1,-1
Color=14671839
Layer=1
[0] Font=MS SAN SERIF,10,0,F,F,
[1] Show=F,F,F,T,T,F,T,F,F,T,
[2] Scale=F,F,T,F,F,F,F,F,0,T,F,
[3] Grid=F,F,F,F,1,
[4] Paint=F,F,F,0,0,0,
[5] Bars=1,2000,1970,
[6] Colors=65793,0,0,8388608,32767,65793,0,0,
[7] Theme=6,0,255,65280,7566080,0,16777215,0,
[8] Candles=F,F,F,F,1,F,
[9] Filter=T,F,F,F,F,0,0
[10] Type=F,F,F,F,15,43286,
[11] Spacing=5,183,0,10,4,-7,73,
[12] Range=148.5,89.1,0.01,0.01
[13] Volume=0,100,0,0,0,0,
[14] Refresh=0,0,0,
[15] Feed=5,2,F,
[16] Template=
[17] Symbol=SVXY.D
[18] SubSizes=0,0,0,0,0,0,0,0,0,0,
[19]= <<< Circle >>>
[20]=62,43296,0,0,576,0,0,0,0,0,0,0,0,0,0,0,0,
[21]=13959167,16711680,65280,255,255,5242880,16744192,12900,255,5242880,16727871,0,0,0,0,0,0,0,0,0,0,0,0,0,
[22]=2,7,0,0,-0.28571,134.64,135.71358,134.62071,15,0,0,0,25,38.2,50,61.8,75,100,150,161.8,200,0,0,0,0,0,
[23]=130,2,0,2,1170222,1,1170222,1,1170215,0,2,0,1,1,1,1,1,3,1,1,1,0,0,0,0,
[24]=176,0,0,0,0,0,0,0,0,0,0,177,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250,25,0,117,4,119,0,216,250,25,
[25]=0,64,202,15,5,4,182,73,0,168,233,105,179,2,0,0,0,117,4,119,0,176,120,64,0,64,202,15,5,32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[26]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[27]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[28]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[19]= <<< Circle >>>
[20]=62,43297,0,0,576,0,0,0,0,0,0,0,0,0,0,0,0,
[21]=13959167,16711680,65280,255,255,5242880,16744192,12900,255,5242880,16727871,0,0,0,0,0,0,0,0,0,0,0,0,0,
[22]=2,7,1.85714,-0.14286,1.57143,145.22144,146.31429,145.22144,15,0,0,0,25,38.2,50,61.8,75,100,150,161.8,200,0,0,0,0,0,
[23]=130,2,0,2,1170323,1,1170323,1,1170321,0,2,0,1,1,1,1,1,3,1,1,1,0,0,0,0,
[24]=176,0,0,0,0,0,0,0,0,0,0,177,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250,25,0,117,4,119,0,216,250,25,
[25]=0,64,202,15,5,4,182,73,0,168,233,105,179,2,0,0,0,117,4,119,0,176,120,64,0,64,202,15,5,32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[26]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[27]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[28]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[19]= <<< Circle >>>
[20]=62,44362,0,0,576,0,0,0,0,0,0,0,0,0,0,0,0,
[21]=13959167,16711680,65280,255,255,5242880,16744192,12900,255,5242880,16727871,0,0,0,0,0,0,0,0,0,0,0,0,0,
[22]=2,7,0.09091,0,0.09091,63.96,63.93712,63.93712,15,0,0,0,25,38.2,50,61.8,75,100,150,161.8,200,0,0,0,0,0,
[23]=130,2,0,2,1161108,1,1161108,1,1161104,0,2,0,1,1,1,1,1,3,1,1,1,0,0,0,0,
[24]=176,0,0,0,0,0,0,0,0,0,0,177,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,250,25,0,123,2,159,3,216,250,25,
[25]=0,64,202,15,5,4,182,73,0,168,233,105,179,2,0,0,0,123,2,159,3,176,120,64,0,64,202,15,5,32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[26]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[27]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[28]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
So, here below is the problem area. The first two lines below are the final two lines of the last block of CHARTS data in the file. As you can see, it is then followed by many smaller blocks which commence with STACK.
This question is simply looking for a modification to the line of code at the start of the question, replicated once more below, to not strip out the STACK blocks. Using the current solution it does remove all the Layer=7 blocks but it also removes all of the STACK blocks at the end of the file. This is despite the final block of text prior to the STACK blocks being Layer=1, not Layer=7.
$contents = join '', grep { !/Layer\s*=\s*7\b/ } split /^(?=CHARTS)/m, $contents;
[27]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
[28]=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
STACK
Position=399,390,888,1211,0,1048
Color=-16777201
Layer=6
ID=56729,56730,56731,56732,56733,56734,56735,
[1] Name=
[2] Index=1,
[3] Pinned=F,
[4] Font=8,-16777208,F,MS SANS SERIF
Window=Minimized
STACK
Position=399,684,888,1348,0,1048
Color=-16777201
Layer=1
ID=28487,9939,
[1] Name=
[2] Index=0,
[3] Pinned=F,
[4] Font=8,-16777208,F,MS SANS SERIF
Window=Minimized
STACK


Provided STACK blocks does only occur at the end of the file, you can try to also split out the STACK blocks:
$contents = join '', grep { /^STACK/ || !/Layer\s*=\s*7\b/ } split /^(?=CHARTS|STACK)/m, $contents;

Related

Convert Int64 array to Int8 in Julia gives InexactError: trunc(Int8, -9223372036854775808)

I try to convert a part of an julia df from Int64 to Int8.
input:
array = convert(Array{Int8} , array );
output:
InexactError: trunc(Int8, -9223372036854775808)
Stacktrace:
[1] throw_inexacterror(f::Symbol, #unused#::Type{Int8}, val::Int64)
# Core ./boot.jl:612
[2] checked_trunc_sint
# ./boot.jl:634 [inlined]
[3] toInt8
# ./boot.jl:649 [inlined]
[4] Int8
# ./boot.jl:759 [inlined]
[5] convert
# ./number.jl:7 [inlined]
[6] setindex!
# ./array.jl:903 [inlined]
[7] _unsafe_copyto!(dest::Vector{Int8}, doffs::Int64, src::Vector{Int64}, soffs::Int64, n::Int64)
# Base ./array.jl:253
[8] unsafe_copyto!
# ./array.jl:307 [inlined]
[9] _copyto_impl!
# ./array.jl:331 [inlined]
[10] copyto!
# ./array.jl:317 [inlined]
[11] copyto!
# ./array.jl:343 [inlined]
[12] copyto_axcheck!
# ./abstractarray.jl:1104 [inlined]
[13] Vector{Int8}(x::Vector{Int64})
# Base ./array.jl:563
[14] Array
# ./boot.jl:482 [inlined]
[15] convert(#unused#::Type{Array{Int8}}, a::Vector{Int64})
# Base ./array.jl:554
[16] top-level scope
# In[62]:1
[17] eval
# ./boot.jl:373 [inlined]
[18] include_string(mapexpr::typeof(REPL.softscope), mod::Module, code::String, filename::String)
# Base ./loading.jl:1196
Also:
Input:
maximum(array)
output:
11
So the bigges value of this is under 255 which is the max size of Int8.
thanks,
Bene

While the maximum value in your data is 11, the minimum value in your data is -9223372036854775808, also known as typemin(Int64), which cannot be converted to Int8 since that type can only represent values from -128 to 127.

Sometimes the typemin value in the array is used to indicate a null value or a missing value. This isn't the best practice in Julia, but it's possible your data source is using the value this way.
Say you have an array arr:
julia> arr = [1, 2, typemin(Int), 4]
4-element Vector{Int64}:
1
2
-9223372036854775808
4
If the typemin value is supposed to indicate missing data, you can do:
julia> [n == typemin(Int) ? missing : Int8(n) for n in arr]
4-element Vector{Union{Missing, Int8}}:
1
2
missing
4
Or if it's supposed to indicate null/invalid data, you can use nothing instead of missing above.

how to fix this roblox script unknown error

I'm getting a script error in the console saying I need a "}" near line 4.
The fifth parameter there is a error, and idk how to fix it:
local args = {
[1] = game:GetService("Players").LocalPlayer.Character,
[2] = workspace.NPCs["Harlow Auburn"],
[3] = "Ice Magic",
[4] = "3",
[5] = "["Blast Attack",1,90,100,false,"Two Hands","(None)","Blast","Ice","Ice"]",
[6] = 0,
}
game:GetService("ReplicatedStorage").RS.Remotes.Magic.DealAttackDamage:FireServer(unpack(args))

You've got a syntax error.
If [5] is supposed to be a single string, then you need to properly escape your string values :
[5] = "[\"Blast Attack\",1,90,100,false,\"Two Hands\",\"(None)\",\"Blast\",\"Ice\",\"Ice\"]",
If [5] is supposed to be an array of values, then you need to define it as a table.
[5] = {"Blast Attack",1,90,100,false,"Two Hands","(None)","Blast","Ice","Ice"},

How do I implement the termination of an ODE solution based on an event in Julia? Why am I getting a BoundsError?

I am trying to solve a coupled ODE using the DifferentialEquations package in Julia, and trying to implement a Continuous Callback to check when a certain variable becomes small enough, so I can terminate the integration. The functions xdot, ddot are defined earlier, and this is working fine without the cb = callback argument.
function w(x,d)
retval = p(x,d)./rho(x,d)
if isnan(retval)
return 0.0
end
return retval
end
function wsys!(dv,v,p,t)
x,d = v
dv[1] = xdot(x,d)
dv[2] = ddot(x,d)
end
function w_enough(t,v,integrator)
w(v[1],v[2]) - 0.0001
end
cb = ContinuousCallback(w_enough,terminate!)
init = [xi,di]
tspan = (0,log(1e4))
prob = ODEProblem(wsys!,init,tspan)
sol = solve(prob,callback=cb);
When I run the last line, I get the error:
BoundsError
Stacktrace:
[1] getindex at .\number.jl:78 [inlined]
[2] w_enough(::Array{Float64,1}, ::Float64, ::OrdinaryDiffEq.ODEIntegrator{CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},true,Array{Float64,1},Float64,DiffEqBase.NullParameters,Float64,Float64,Float64,Array{Array{Float64,1},1},OrdinaryDiffEq.ODECompositeSolution{Float64,2,Array{Array{Float64,1},1},Nothing,Nothing,Array{Float64,1},Array{Array{Array{Float64,1},1},1},ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,DiffEqBase.NullParameters,ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem},CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},OrdinaryDiffEq.CompositeInterpolationData{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Array{Float64,1},1},Array{Float64,1},Array{Array{Array{Float64,1},1},1},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23Tableau{Float64},DiffEqBase.TimeGradientWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},DiffEqBase.NullParameters},DiffEqBase.UJacobianWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,DiffEqBase.NullParameters},DefaultLinSolve,FiniteDiff.JacobianCache{Array{Float64,1},Array{Float64,1},Array{Float64,1},UnitRange{Int64},Nothing,Val{:forward},Float64},FiniteDiff.GradientCache{Nothing,Array{Float64,1},Array{Float64,1},Val{:forward},Float64,Val{true}}}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}}},DiffEqBase.DEStats},ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23Tableau{Float64},DiffEqBase.TimeGradientWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},DiffEqBase.NullParameters},DiffEqBase.UJacobianWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,DiffEqBase.NullParameters},DefaultLinSolve,FiniteDiff.JacobianCache{Array{Float64,1},Array{Float64,1},Array{Float64,1},UnitRange{Int64},Nothing,Val{:forward},Float64},FiniteDiff.GradientCache{Nothing,Array{Float64,1},Array{Float64,1},Val{:forward},Float64,Val{true}}}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},OrdinaryDiffEq.DEOptions{Float64,Float64,Float64,Float64,typeof(DiffEqBase.ODE_DEFAULT_NORM),typeof(LinearAlgebra.opnorm),CallbackSet{Tuple{ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}},Tuple{}},typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN),typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE),typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK),DataStructures.BinaryHeap{Float64,DataStructures.LessThan},DataStructures.BinaryHeap{Float64,DataStructures.LessThan},Nothing,Nothing,Int64,Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Float64,1},Float64,Nothing}) at .\In[15]:8
[3] find_callback_time(::OrdinaryDiffEq.ODEIntegrator{CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},true,Array{Float64,1},Float64,DiffEqBase.NullParameters,Float64,Float64,Float64,Array{Array{Float64,1},1},OrdinaryDiffEq.ODECompositeSolution{Float64,2,Array{Array{Float64,1},1},Nothing,Nothing,Array{Float64,1},Array{Array{Array{Float64,1},1},1},ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,DiffEqBase.NullParameters,ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem},CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},OrdinaryDiffEq.CompositeInterpolationData{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Array{Float64,1},1},Array{Float64,1},Array{Array{Array{Float64,1},1},1},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23Tableau{Float64},DiffEqBase.TimeGradientWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},DiffEqBase.NullParameters},DiffEqBase.UJacobianWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,DiffEqBase.NullParameters},DefaultLinSolve,FiniteDiff.JacobianCache{Array{Float64,1},Array{Float64,1},Array{Float64,1},UnitRange{Int64},Nothing,Val{:forward},Float64},FiniteDiff.GradientCache{Nothing,Array{Float64,1},Array{Float64,1},Val{:forward},Float64,Val{true}}}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}}},DiffEqBase.DEStats},ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23Tableau{Float64},DiffEqBase.TimeGradientWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},DiffEqBase.NullParameters},DiffEqBase.UJacobianWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,DiffEqBase.NullParameters},DefaultLinSolve,FiniteDiff.JacobianCache{Array{Float64,1},Array{Float64,1},Array{Float64,1},UnitRange{Int64},Nothing,Val{:forward},Float64},FiniteDiff.GradientCache{Nothing,Array{Float64,1},Array{Float64,1},Val{:forward},Float64,Val{true}}}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},OrdinaryDiffEq.DEOptions{Float64,Float64,Float64,Float64,typeof(DiffEqBase.ODE_DEFAULT_NORM),typeof(LinearAlgebra.opnorm),CallbackSet{Tuple{ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}},Tuple{}},typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN),typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE),typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK),DataStructures.BinaryHeap{Float64,DataStructures.LessThan},DataStructures.BinaryHeap{Float64,DataStructures.LessThan},Nothing,Nothing,Int64,Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Float64,1},Float64,Nothing}, ::ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}, ::Int64) at C:\Users\hganj\.julia\packages\DiffEqBase\mDFok\src\callbacks.jl:498
[4] find_first_continuous_callback at C:\Users\hganj\.julia\packages\DiffEqBase\mDFok\src\callbacks.jl:383 [inlined]
[5] handle_callbacks!(::OrdinaryDiffEq.ODEIntegrator{CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},true,Array{Float64,1},Float64,DiffEqBase.NullParameters,Float64,Float64,Float64,Array{Array{Float64,1},1},OrdinaryDiffEq.ODECompositeSolution{Float64,2,Array{Array{Float64,1},1},Nothing,Nothing,Array{Float64,1},Array{Array{Array{Float64,1},1},1},ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,DiffEqBase.NullParameters,ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem},CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},OrdinaryDiffEq.CompositeInterpolationData{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Array{Float64,1},1},Array{Float64,1},Array{Array{Array{Float64,1},1},1},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23Tableau{Float64},DiffEqBase.TimeGradientWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},DiffEqBase.NullParameters},DiffEqBase.UJacobianWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,DiffEqBase.NullParameters},DefaultLinSolve,FiniteDiff.JacobianCache{Array{Float64,1},Array{Float64,1},Array{Float64,1},UnitRange{Int64},Nothing,Val{:forward},Float64},FiniteDiff.GradientCache{Nothing,Array{Float64,1},Array{Float64,1},Val{:forward},Float64,Val{true}}}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}}},DiffEqBase.DEStats},ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23Tableau{Float64},DiffEqBase.TimeGradientWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},DiffEqBase.NullParameters},DiffEqBase.UJacobianWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,DiffEqBase.NullParameters},DefaultLinSolve,FiniteDiff.JacobianCache{Array{Float64,1},Array{Float64,1},Array{Float64,1},UnitRange{Int64},Nothing,Val{:forward},Float64},FiniteDiff.GradientCache{Nothing,Array{Float64,1},Array{Float64,1},Val{:forward},Float64,Val{true}}}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},OrdinaryDiffEq.DEOptions{Float64,Float64,Float64,Float64,typeof(DiffEqBase.ODE_DEFAULT_NORM),typeof(LinearAlgebra.opnorm),CallbackSet{Tuple{ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}},Tuple{}},typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN),typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE),typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK),DataStructures.BinaryHeap{Float64,DataStructures.LessThan},DataStructures.BinaryHeap{Float64,DataStructures.LessThan},Nothing,Nothing,Int64,Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Float64,1},Float64,Nothing}) at C:\Users\hganj\.julia\packages\OrdinaryDiffEq\8Pn99\src\integrators\integrator_utils.jl:247
[6] _loopfooter!(::OrdinaryDiffEq.ODEIntegrator{CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},true,Array{Float64,1},Float64,DiffEqBase.NullParameters,Float64,Float64,Float64,Array{Array{Float64,1},1},OrdinaryDiffEq.ODECompositeSolution{Float64,2,Array{Array{Float64,1},1},Nothing,Nothing,Array{Float64,1},Array{Array{Array{Float64,1},1},1},ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,DiffEqBase.NullParameters,ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem},CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},OrdinaryDiffEq.CompositeInterpolationData{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Array{Float64,1},1},Array{Float64,1},Array{Array{Array{Float64,1},1},1},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23Tableau{Float64},DiffEqBase.TimeGradientWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},DiffEqBase.NullParameters},DiffEqBase.UJacobianWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,DiffEqBase.NullParameters},DefaultLinSolve,FiniteDiff.JacobianCache{Array{Float64,1},Array{Float64,1},Array{Float64,1},UnitRange{Int64},Nothing,Val{:forward},Float64},FiniteDiff.GradientCache{Nothing,Array{Float64,1},Array{Float64,1},Val{:forward},Float64,Val{true}}}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}}},DiffEqBase.DEStats},ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23Tableau{Float64},DiffEqBase.TimeGradientWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},DiffEqBase.NullParameters},DiffEqBase.UJacobianWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,DiffEqBase.NullParameters},DefaultLinSolve,FiniteDiff.JacobianCache{Array{Float64,1},Array{Float64,1},Array{Float64,1},UnitRange{Int64},Nothing,Val{:forward},Float64},FiniteDiff.GradientCache{Nothing,Array{Float64,1},Array{Float64,1},Val{:forward},Float64,Val{true}}}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},OrdinaryDiffEq.DEOptions{Float64,Float64,Float64,Float64,typeof(DiffEqBase.ODE_DEFAULT_NORM),typeof(LinearAlgebra.opnorm),CallbackSet{Tuple{ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}},Tuple{}},typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN),typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE),typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK),DataStructures.BinaryHeap{Float64,DataStructures.LessThan},DataStructures.BinaryHeap{Float64,DataStructures.LessThan},Nothing,Nothing,Int64,Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Float64,1},Float64,Nothing}) at C:\Users\hganj\.julia\packages\OrdinaryDiffEq\8Pn99\src\integrators\integrator_utils.jl:202
[7] loopfooter! at C:\Users\hganj\.julia\packages\OrdinaryDiffEq\8Pn99\src\integrators\integrator_utils.jl:166 [inlined]
[8] solve!(::OrdinaryDiffEq.ODEIntegrator{CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},true,Array{Float64,1},Float64,DiffEqBase.NullParameters,Float64,Float64,Float64,Array{Array{Float64,1},1},OrdinaryDiffEq.ODECompositeSolution{Float64,2,Array{Array{Float64,1},1},Nothing,Nothing,Array{Float64,1},Array{Array{Array{Float64,1},1},1},ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,DiffEqBase.NullParameters,ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem},CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},OrdinaryDiffEq.CompositeInterpolationData{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Array{Float64,1},1},Array{Float64,1},Array{Array{Array{Float64,1},1},1},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23Tableau{Float64},DiffEqBase.TimeGradientWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},DiffEqBase.NullParameters},DiffEqBase.UJacobianWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,DiffEqBase.NullParameters},DefaultLinSolve,FiniteDiff.JacobianCache{Array{Float64,1},Array{Float64,1},Array{Float64,1},UnitRange{Int64},Nothing,Val{:forward},Float64},FiniteDiff.GradientCache{Nothing,Array{Float64,1},Array{Float64,1},Val{:forward},Float64,Val{true}}}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}}},DiffEqBase.DEStats},ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},OrdinaryDiffEq.CompositeCache{Tuple{OrdinaryDiffEq.Tsit5Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.Tsit5ConstantCache{Float64,Float64}},OrdinaryDiffEq.Rosenbrock23Cache{Array{Float64,1},Array{Float64,1},Array{Float64,1},Array{Float64,2},Array{Float64,2},OrdinaryDiffEq.Rosenbrock23Tableau{Float64},DiffEqBase.TimeGradientWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Float64,1},DiffEqBase.NullParameters},DiffEqBase.UJacobianWrapper{ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Float64,DiffEqBase.NullParameters},DefaultLinSolve,FiniteDiff.JacobianCache{Array{Float64,1},Array{Float64,1},Array{Float64,1},UnitRange{Int64},Nothing,Val{:forward},Float64},FiniteDiff.GradientCache{Nothing,Array{Float64,1},Array{Float64,1},Val{:forward},Float64,Val{true}}}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}},OrdinaryDiffEq.DEOptions{Float64,Float64,Float64,Float64,typeof(DiffEqBase.ODE_DEFAULT_NORM),typeof(LinearAlgebra.opnorm),CallbackSet{Tuple{ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}},Tuple{}},typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN),typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE),typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK),DataStructures.BinaryHeap{Float64,DataStructures.LessThan},DataStructures.BinaryHeap{Float64,DataStructures.LessThan},Nothing,Nothing,Int64,Array{Float64,1},Array{Float64,1},Array{Float64,1}},Array{Float64,1},Float64,Nothing}) at C:\Users\hganj\.julia\packages\OrdinaryDiffEq\8Pn99\src\solve.jl:403
[9] #__solve#328(::Base.Iterators.Pairs{Symbol,Any,Tuple{Symbol,Symbol,Symbol},NamedTuple{(:default_set, :second_time, :callback),Tuple{Bool,Bool,ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}}}}, ::typeof(DiffEqBase.__solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,DiffEqBase.NullParameters,ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem}, ::CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}}) at C:\Users\hganj\.julia\packages\OrdinaryDiffEq\8Pn99\src\solve.jl:5
[10] (::DiffEqBase.var"#kw##__solve")(::NamedTuple{(:default_set, :second_time, :callback),Tuple{Bool,Bool,ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}}}, ::typeof(DiffEqBase.__solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,DiffEqBase.NullParameters,ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem}, ::CompositeAlgorithm{Tuple{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType}},AutoSwitch{Tsit5,Rosenbrock23{0,false,DefaultLinSolve,DataType},Rational{Int64},Int64}}) at .\none:0
[11] #__solve#1(::Bool, ::Base.Iterators.Pairs{Symbol,Any,Tuple{Symbol,Symbol},NamedTuple{(:second_time, :callback),Tuple{Bool,ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}}}}, ::typeof(DiffEqBase.__solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,DiffEqBase.NullParameters,ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem}, ::Nothing) at C:\Users\hganj\.julia\packages\DifferentialEquations\hc2aQ\src\default_solve.jl:7
[12] #__solve at .\none:0 [inlined]
[13] #__solve#448 at C:\Users\hganj\.julia\packages\DiffEqBase\mDFok\src\solve.jl:185 [inlined]
[14] #__solve at .\none:0 [inlined]
[15] #solve_call#443(::Bool, ::Base.Iterators.Pairs{Symbol,ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing},Tuple{Symbol},NamedTuple{(:callback,),Tuple{ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}}}}, ::typeof(DiffEqBase.solve_call), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,DiffEqBase.NullParameters,ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem}) at C:\Users\hganj\.julia\packages\DiffEqBase\mDFok\src\solve.jl:44
[16] #solve_call at .\none:0 [inlined]
[17] #solve#444 at C:\Users\hganj\.julia\packages\DiffEqBase\mDFok\src\solve.jl:67 [inlined]
[18] (::DiffEqBase.var"#kw##solve")(::NamedTuple{(:callback,),Tuple{ContinuousCallback{typeof(w_enough),typeof(affect!),typeof(affect!),typeof(DiffEqBase.INITIALIZE_DEFAULT),Float64,Int64,Nothing}}}, ::typeof(solve), ::ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,DiffEqBase.NullParameters,ODEFunction{true,typeof(wsys!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem}) at .\none:0
[19] top-level scope at In[21]:1
Terminating at this event is important to this code, and I'm new to Julia. I'd really appreciate any help!

function w_enough(t,v,integrator)
w(v[1],v[2]) - 0.0001
end
is the incorrect argument ordering, the function as documented should be:
function w_enough(v,t,integrator)
w(v[1],v[2]) - 0.0001
end

Displaying human-readable text in perl Log::Report stack traces

A library that I'm using XML::Compile::Translate::Reader calls Log::Report's error method
or error __x"data for element or block starting with `{tag}' missing at {path}"
, tag => $label, path => $path, _class => 'misfit';
As I've got Log::Report set to debug mode, it returns a stack trace for an error.
[11 07 2014 22:17:39] [2804] error: data for element or block starting with `MSISDN' missing at {http://www.sigvalue.com/acc}TA
at /usr/local/share/perl5/XML/Compile/Translate/Reader.pm line 476
Log::Report::error("Log::Report::Message=HASH(0x2871cf8)") at /usr/local/share/perl5/XML/Compile/Translate/Reader.pm line 476
<snip>
XML::Compile::SOAP::Daemon::LWPutil::lwp_run_request("HTTP::Request=HASH(0x2882858)", "CODE(0x231ba38)", "HTTP::Daemon::ClientConn::SSL=GLOB(0x231b9c0)", undef) at /usr/local/share/perl5/XML/Compile/SOAP/Daemon/LWPutil.pm line 95
Any::Daemon::run("XML::Compile::SOAP::Daemon::AnyDaemon=HASH(0x7a3168)", "child_task", "CODE(0x2548128)", "max_childs", 36, "background", 1) at /usr/local/share/perl5/XML/Compile/SOAP/Daemon/AnyDaemon.pm line 75
XML::Compile::SOAP::Daemon::AnyDaemon::_run("XML::Compile::SOAP::Daemon::AnyDaemon=HASH(0x7a3168)", "HASH(0x18dda00)") at /usr/local/share/perl5/XML/Compile/SOAP/Daemon.pm line 99
(eval)("XML::Compile::SOAP::Daemon::AnyDaemon=HASH(0x7a3168)", "HASH(0x18dda00)") at /usr/local/share/perl5/XML/Compile/SOAP/Daemon.pm line 94
XML::Compile::SOAP::Daemon::run("XML::Compile::SOAP::Daemon::AnyDaemon=HASH(0x7a3168)", "name", "rizserver.pl", "background", 1, "max_childs", 36, "socket", [7 more]) at ./rizserver.pl line 95
There is lots of juicy data in those HASH, SCALAR, GLOB, and other elements that I want to get logged; as we are having trouble logging the original request in case it doesn't match.
I've explored using
Some leads that I don't know how to use are using Log::Dispatch, or some sort of Filter on Log::Report; but in the end, all I really want is to apply Data::Dumper to those elements.

How to merge numerical cell and char cell of binary values into 1 cell in matlab

I have a matlab cell of 7395X28 numerical values and i have a another character cell of 7395x8 in which there are binary values. I want the binary values cell merged into this numerical value cell without change.
For example let numerical cell be A and binary cell B i merged them like this
C=[A,B]
This gives me a error saying you cannot merge a character cell with numerical values cell. Please anybody help me with this how to solve
The output should be a merged cell and the last column of the cell should consist of binary values. Please help.

Code
a1 = num2cell(randi(5,2,3)) %%// cell array of numerical values
a2 = {'0' '1' '1'; '0' '1' '0' } %%// cell array of characters that are binary numbers
out = num2cell(cell2mat(a1)*10+cell2mat(a2)-'0')
Output
a1 =
[4] [3] [5]
[2] [4] [5]
a2 =
'0' '1' '1'
'0' '1' '0'
out =
[40] [31] [51]
[20] [41] [50]
Edit 1:
Code
A={1,2,3;
2,3,4;
4,5,6;
7,8,9;
0,9,9}
B={'0001'; '0011'; '0111' ;'1111' ;'0101'}
C = [A cellstr(cell2mat(B))]
Output
C =
[1] [2] [3] '0001'
[2] [3] [4] '0011'
[4] [5] [6] '0111'
[7] [8] [9] '1111'
[0] [9] [9] '0101'
Edit 2:
Code
A={1,2,3;
2,3,4;
4,5,6;
7,8,9;
0,9,9}
B = ['00000001';'00010001';'00000001';'10110001';'01010011']
C = [A cellstr(B)]
Output
C =
[1] [2] [3] '00000001'
[2] [3] [4] '00010001'
[4] [5] [6] '00000001'
[7] [8] [9] '10110001'
[0] [9] [9] '01010011'