16873766683

Committed 11 Aug 2025 07:29AM UTC coverage: 0.0% (-70.9%) from 70.933%

Build # 16873766683

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github

Committed by

kunzaatko

Commit Message

feat: Add `ReflectedArray` type

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/src/transfer-function-interface.jl

using InterfaceFunctions

"""
    TransferFunction
Super type for all transfer functions

A transfer function in microscopy is an object specifying the response in the image plane to the light coming from the
object plane.
There are several characteristics of a transfer functions which can influence the character of the response. Most
commonly we are concerned with its spatial variance/invariance, i.e. whether the response is dependent of the objects
position in the object plane, and linearity (which is almost always satisfied).

See also [`LinearTransferFunction`](@ref), [`ImpulseResponseMapping`](@ref)
"""
abstract type TransferFunction end
@interface transfer(t::TransferFunction, ::SpatialMatrix{<:Real})
@interface restore(t::TransferFunction, ::SpatialMatrix{<:Real})

# NOTE: Taken from Distributions.jl <kunzaatko> 
for func in (:(==), :isequal, :isapprox)
    @eval function Base.$func(tf1::A, tf2::B; kwargs...) where {A<:TransferFunction,B<:TransferFunction}
        nameof(A) === nameof(B) || return false
        fields = fieldnames(A)
        fields === fieldnames(B) || return false

        for f in fields
            isdefined(tf1, f) && isdefined(tf2, f) || return false
            # perform equivalence check to support types that have no defined equality, such
            # as `missing`
            getfield(tf1, f) === getfield(tf2, f) || $func(getfield(tf1, f), getfield(tf2, f); kwargs...) || return false
        end

        return true
    end
end

# NOTE: Taken from Distributions.jl <kunzaatko> 
function Base.hash(tf::TransferFunction, h::UInt)
    hashed = hash(TransferFunction, h)
    hashed = hash(nameof(typeof(tf)), hashed)

    for f in fieldnames(typeof(tf))
        hashed = hash(getfield(tf, f), hashed)
    end

    return hashed
end

export transfer, restore

1	using InterfaceFunctions
2
3	"""
4	TransferFunction
5	Super type for all transfer functions
6
7	A transfer function in microscopy is an object specifying the response in the image plane to the light coming from the
8	object plane.
9	There are several characteristics of a transfer functions which can influence the character of the response. Most
10	commonly we are concerned with its spatial variance/invariance, i.e. whether the response is dependent of the objects
11	position in the object plane, and linearity (which is almost always satisfied).
12
13	See also [`LinearTransferFunction`](@ref), [`ImpulseResponseMapping`](@ref)
14	"""
15	abstract type TransferFunction end
16	@interface transfer(t::TransferFunction, ::SpatialMatrix{<:Real})
17	@interface restore(t::TransferFunction, ::SpatialMatrix{<:Real})
18
19	# NOTE: Taken from Distributions.jl <kunzaatko>
20	for func in (:(==), :isequal, :isapprox)
UNCOV 21	@eval function Base.$func(tf1::A, tf2::B; kwargs...) where {A<:TransferFunction,B<:TransferFunction}	×
UNCOV 22	nameof(A) === nameof(B) \|\| return false	×
UNCOV 23	fields = fieldnames(A)	×
UNCOV 24	fields === fieldnames(B) \|\| return false	×
25
UNCOV 26	for f in fields	×
UNCOV 27	isdefined(tf1, f) && isdefined(tf2, f) \|\| return false	×
28	# perform equivalence check to support types that have no defined equality, such
29	# as `missing`
UNCOV 30	getfield(tf1, f) === getfield(tf2, f) \|\| $func(getfield(tf1, f), getfield(tf2, f); kwargs...) \|\| return false	×
UNCOV 31	end	×
32
UNCOV 33	return true	×
34	end
35	end
36
37	# NOTE: Taken from Distributions.jl <kunzaatko>
UNCOV 38	function Base.hash(tf::TransferFunction, h::UInt)	×
UNCOV 39	hashed = hash(TransferFunction, h)	×
UNCOV 40	hashed = hash(nameof(typeof(tf)), hashed)	×
41
UNCOV 42	for f in fieldnames(typeof(tf))	×
UNCOV 43	hashed = hash(getfield(tf, f), hashed)	×
UNCOV 44	end	×
45
UNCOV 46	return hashed	×
47	end
48
49	export transfer, restore

kunzaatko / TransferFunctions.jl / 16873766683

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