That's exactly what I was looking for, thanks Tim.
On Thursday, July 30, 2015 at 12:08:18 PM UTC-4, Tim Holy wrote:
Try the JLD package?
--Tim
On Thursday, July 30, 2015 08:57:23 AM Marc Gallant wrote:
Given the following types:
type Bar
x::Float64
y::Int
end
Given the following types:
type Bar
x::Float64
y::Int
end
type Foo
x::Vector{Float64}
y::Bar
z::Matrix{Float64}
end
and the following vector:
a = [Foo([1.1, 2.2], Bar(1.1, 4), rand(2, 2)), Foo([1.3, 2.4], Bar(-1.1,
2), rand(2, 2))]
Do you have any suggestions on how
The unique function doesn't appear to work using iterables of custom
composite types, e.g.,
julia type Foo
x::Int
end
julia import Base: ==
julia ==(f1::Foo, f2::Foo) = f1.x == f2.x
== (generic function with 85 methods)
julia unique(foos)
2-element Array{Foo,1}:
Foo(4)
Foo(4)
}:
Foo(4)
Foo(4)
julia unique(foos)[1] == unique(foos)[2]
true
On Thursday, July 16, 2015 at 9:33:26 AM UTC-4, milktrader wrote:
How did you get foos?
On Thursday, July 16, 2015 at 9:16:01 AM UTC-4, Marc Gallant wrote:
The unique function doesn't appear to work using iterables of custom
If I have an array of square matrices of different sizes; e.g.,
3-element Array{Array{Float64,2},1}:
2x2 Array{Float64,2}:
0.539932 0.429322
0.623487 0.0397795
2x2 Array{Float64,2}:
0.35508 0.700551
0.768214 0.954056
3x3 Array{Float64,2}:
0.953354 0.453831 0.991583
0.159975
I'm having some trouble figuring out the proper way to organize a project
in Julia. I understand how a *package* is organized (from the many
available examples), but now I am writing code that uses various packages
(my own and others) and I don't feel like I have a good idea on how a
*project*
Thanks for your input. I have some questions about your reply:
4. Yes, putting constants in global scope is fine. I believe there will
not be a performance issue is you mark the variables as const
How do I load the configuration file if Major Calculations is a package?
using
Suppose I have a type called MyType that has one floating point field x.
When constructed, if the value provided for x is greater than, let's say,
5, it has pi subtracted from it. For example,
a = MyType(4) # x = 4.0
b = MyType(-11) # x = 11.0
c = MyType(10) # x = 6.8584
d = MyType(-1.443) #
Thanks for your quick response! I have a couple questions/concerns about
your implementation:
- MyType(1, [2, 3], xyz) fails requirement #2
- MyType(1, [2, 10], xyz) throws InexactError()
- Does the declaration s::String cause the ambiguities described in the FAQ
here
Hi, I'm using Julia 0.3.1 and I feel like I'm seeing behaviour that is
different from what is indicated in the manual in the Modules section
(specifically, in the table) here:
http://docs.julialang.org/en/release-0.3/manual/modules/
I was playing around to learn the difference between using,
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