jverzani / implicitequations.jl Goto Github PK
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License: Other
Julia package to facilitate graphing of implicit equations and inequalities
License: Other
applying the examples which are given in the docs I am no able to change the color of the plots.
Hi, congratulations for the package! Excellent work.
I am trying to use it for some computations for an article and it seems that there are some version errors with other packages I have to use.
(src) pkg> add ImplicitEquations
Resolving package versions...
ERROR: Unsatisfiable requirements detected for package IntervalArithmetic [d1acc4aa]:
IntervalArithmetic [d1acc4aa] log:
├─possible versions are: 0.14.0-0.20.5 or uninstalled
├─restricted by compatibility requirements with IntervalLinearAlgebra [92cbe1ac] to versions: 0.19.1-0.20.5
│ └─IntervalLinearAlgebra [92cbe1ac] log:
│ ├─possible versions are: 0.1.0-0.1.5 or uninstalled
│ └─restricted to versions * by an explicit requirement, leaving only versions 0.1.0-0.1.5
└─restricted by compatibility requirements with ImplicitEquations [95701278] to versions: 0.15.0-0.17.8 — no versions left
└─ImplicitEquations [95701278] log:
├─possible versions are: 0.5.0-1.0.6 or uninstalled
└─restricted to versions * by an explicit requirement, leaving only versions 0.5.0-1.0.6
Is this solvable? Thanks
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Test log:
>>> 'Pkg.add("ImplicitEquations")' log
INFO: Cloning cache of ImplicitEquations from git://github.com/jverzani/ImplicitEquations.jl.git
INFO: Cloning cache of ValidatedNumerics from git://github.com/dpsanders/ValidatedNumerics.jl.git
INFO: Installing FactCheck v0.2.8
INFO: Installing ImplicitEquations v0.0.1
INFO: Installing Polynomials v0.0.3
INFO: Installing Requires v0.1.2
INFO: Installing ValidatedNumerics v0.1.0
INFO: Package database updated
INFO: METADATA is out-of-date — you may not have the latest version of ImplicitEquations
INFO: Use `Pkg.update()` to get the latest versions of your packages
>>> 'Pkg.test("ImplicitEquations")' log
Julia Version 0.3.10
Commit c8ceeef* (2015-06-24 13:54 UTC)
Platform Info:
System: Linux (x86_64-unknown-linux-gnu)
CPU: Intel(R) Xeon(R) CPU E5-2650 0 @ 2.00GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Nehalem)
LAPACK: libopenblas
LIBM: libopenlibm
LLVM: libLLVM-3.3
INFO: Testing ImplicitEquations
Warning: Method definition floor(Interval{T<:Real},) in module ValidatedNumerics at /home/vagrant/.julia/v0.3/ValidatedNumerics/src/intervals/interval_arithmetic.jl:129 overwritten in module ImplicitEquations at /home/vagrant/.julia/v0.3/ImplicitEquations/src/intervals.jl:18.
Warning: Method definition ceil(Interval{T<:Real},) in module ValidatedNumerics at /home/vagrant/.julia/v0.3/ValidatedNumerics/src/intervals/interval_arithmetic.jl:130 overwritten in module ImplicitEquations at /home/vagrant/.julia/v0.3/ImplicitEquations/src/intervals.jl:19.
ERROR: `make_interval` has no method matching make_interval(
in OInterval at no file
in GRAPH at /home/vagrant/.julia/v0.3/ImplicitEquations/src/tupper.jl:52
in include at ./boot.jl:245
in include_from_node1 at loading.jl:128
in process_options at ./client.jl:285
in _start at ./client.jl:354fatal: error thrown and no exception handler available.
Base.MethodError(f=make_interval, args=(Int64, ValidatedNumerics.Interval{Int64}(lo=0, hi=16)))
==========================[ ERROR: ImplicitEquations ]==========================
failed process: Process(`/home/vagrant/julia/bin/julia /home/vagrant/.julia/v0.3/ImplicitEquations/test/runtests.jl`, ProcessExited(1)) [1]
================================================================================
INFO: No packages to install, update or remove
ERROR: ImplicitEquations had test errors
in error at error.jl:21
in test at pkg/entry.jl:718
in anonymous at pkg/dir.jl:28
in cd at ./file.jl:20
in cd at pkg/dir.jl:28
in test at pkg.jl:67
in process_options at ./client.jl:213
in _start at ./client.jl:354
>>> End of log
using SpecialFunctions
f(x,y) = abs(zeta(x + y*im))
r = Eq(f, 1)
plot(r)
ERROR: MethodError: no method matching AbstractFloat(::ImplicitEquations.OInterval)
Closest candidates are:
AbstractFloat(::Real, ::RoundingMode) where T<:AbstractFloat at rounding.jl:185
AbstractFloat(::T<:Number) where T<:Number at boot.jl:725
AbstractFloat(::Bool) at float.jl:250
...
Stacktrace:
[1] float(::ImplicitEquations.OInterval) at ./float.jl:269
[2] float(::Complex{ImplicitEquations.OInterval}) at ./complex.jl:967
[3] zeta(::Complex{ImplicitEquations.OInterval}) at /home/rulatir/.julia/packages/SpecialFunctions/fvheQ/src/gamma.jl:512
[4] f(::ImplicitEquations.OInterval, ::ImplicitEquations.OInterval) at ./REPL[84]:1
[5] compute_fxy(::ImplicitEquations.Pred, ::ImplicitEquations.Region, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64) at /home/rulatir/.julia/packages/ImplicitEquations/0nm3T/src/intervals.jl:307
[6] compute(::ImplicitEquations.Pred, ::ImplicitEquations.Region, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64) at /home/rulatir/.julia/packages/ImplicitEquations/0nm3T/src/intervals.jl:316
[7] RefinePixels(::ImplicitEquations.Pred, ::Array{ImplicitEquations.Region,1}, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{ImplicitEquations.Region,1}, ::Array{ImplicitEquations.Region,1}, ::Array{ImplicitEquations.Region,1}) at /home/rulatir/.julia/packages/ImplicitEquations/0nm3T/src/tupper.jl:80
[8] GRAPH(::ImplicitEquations.Pred, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64) at /home/rulatir/.julia/packages/ImplicitEquations/0nm3T/src/tupper.jl:69
[9] macro expansion at /home/rulatir/.julia/packages/ImplicitEquations/0nm3T/src/plot_recipe.jl:152 [inlined]
[10] apply_recipe(::Dict{Symbol,Any}, ::ImplicitEquations.Pred) at /home/rulatir/.julia/packages/RecipesBase/Uz5AO/src/RecipesBase.jl:275
[11] _process_userrecipes(::Plots.Plot{Plots.PyPlotBackend}, ::Dict{Symbol,Any}, ::Tuple{ImplicitEquations.Pred}) at /home/rulatir/.julia/packages/Plots/PGn1u/src/pipeline.jl:83
[12] _plot!(::Plots.Plot{Plots.PyPlotBackend}, ::Dict{Symbol,Any}, ::Tuple{ImplicitEquations.Pred}) at /home/rulatir/.julia/packages/Plots/PGn1u/src/plot.jl:178
[13] #plot#132(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::Function, ::ImplicitEquations.Pred) at /home/rulatir/.julia/packages/Plots/PGn1u/src/plot.jl:57
[14] plot(::ImplicitEquations.Pred) at /home/rulatir/.julia/packages/Plots/PGn1u/src/plot.jl:51
[15] top-level scope at none:0
This example from the tutorial no longer works due to changes in Plots
. Perhaps there is a workaround:
f(x,y) = x
plot(f ≧ 1/2, map=z -> 1/z)
What I was trying is:
Pkg.add("ImplicitEquations)
But it gives me an error with "unsatisfiable" requirements:
ERROR: Unsatisfiable requirements detected for package ImplicitEquations [95701278]:
ImplicitEquations [95701278] log:
├─possible versions are: [0.0.1, 0.0.3, 0.1.0, 0.2.0, 0.3.0, 0.4.0] or uninstalled
├─restricted to versions * by an explicit requirement, leaving only versions [0.0.1, 0.0.3, 0.1.0, 0.2.0, 0.3.0, 0.4.0]
└─restricted by julia compatibility requirements to versions: uninstalled — no versions left
Great work on this package; I've found it quite useful.
Is it feasible/desirable under the current architecture to enable plotting the image of some implicitly defined region under a given map? For example, to plot the image of a circle x^2 + y^2 ⩵ 1
under a map, say z ↦ exp(z)
.
In https://discourse.julialang.org/t/implicitequations-plot-return-empty-plot/94117/5 the issue of xlims and ylims arises:
using Plots, ImplicitEquations
f(x, y) = y^2 - 3y - 4 - x; g(x,y) = x + y
plot(f ⩵ 0, xtick=-7:1:5, xlims=(-7,5), ylims=(-5,5))
plot!(g ⩵ 0); plot!((f ≦ 0) & (g ≦ 0))
The plot!
call uses (-5,5) x (-5,5) and not the (-7,5) x (-5,5)
The current recipe uses xlims = get(plotattributes, :xlims, (-5,5))
. It seems to be suggested that xlims --> (-5,5)
should work (but it doesnt). The use of xlims = get!(plotattributes, :xlims, (-5,5))
doesn't see the initial xlims specification.
Such as <(f::Function, x::Real)
. This should be done with unicode, not the logical operators
Lt(f::Function, x::Real) ...
\ll[tab](f::Function, x::Real) = Lt(F, x)
Check recipe for convention adherence
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