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annotate src/LazyTensors/lazy_tensor.jl @ 1943:48c49c04f3b2 feature/grids/manifolds

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Merge feature/grids/parameter_spaces
author Jonatan Werpers <jonatan@werpers.com>
date Fri, 07 Feb 2025 15:29:40 +0100
parents dfb43fdac9fc
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1 """
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2 LazyTensor{T,R,D}
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3
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4 Describes a mapping of a `D` dimension tensor to an `R` dimension tensor.
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5 The action of the mapping is implemented through the method
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6 ```julia
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7 apply(t::LazyTensor{T,R,D}, v::AbstractArray{<:Any,D}, I::Vararg) where {R,D,T}
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8 ```
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10 The size of the range and domain that the operator works with should be returned by
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11 the functions
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12 ```julia
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13 range_size(::LazyTensor)
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14 domain_size(::LazyTensor)
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15 ```
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16 to allow querying for one or the other.
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18 Optionally the action of the transpose may be defined through
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19 ```julia
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20 apply_transpose(t::LazyTensor{T,R,D}, v::AbstractArray{T,D}, I::Vararg) where {R,D,T}
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21 ```
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22 """
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23 abstract type LazyTensor{T,R,D} end
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25 """
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26 apply(t::LazyTensor{T,R,D}, v::AbstractArray{<:Any,D}, I::Vararg) where {R,D,T}
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28 Return the result of the mapping for a given index.
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29 """
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30 function apply end
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32 """
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33 apply_transpose(t::LazyTensor{T,R,D}, v::AbstractArray{<:Any,R}, I::Vararg) where {R,D,T}
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35 Return the result of the transposed mapping for a given index.
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36 """
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37 function apply_transpose end
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39 """
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40 range_dim(::LazyTensor)
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41 Return the dimension of the range space of a given mapping
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42 """
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43 range_dim(::LazyTensor{T,R,D}) where {T,R,D} = R
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45 """
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46 domain_dim(::LazyTensor)
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47 Return the dimension of the domain space of a given mapping
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48 """
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49 domain_dim(::LazyTensor{T,R,D}) where {T,R,D} = D
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52 """
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53 range_size(M::LazyTensor)
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55 Return the range size for the mapping.
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56 """
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57 function range_size end
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59 """
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60 domain_size(M::LazyTensor)
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62 Return the domain size for the mapping.
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63 """
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64 function domain_size end
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67 """
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68 eltype(::LazyTensor{T})
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70 The type of elements the LazyTensor acts on.
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71 """
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72 Base.eltype(::LazyTensor{T}) where T = T
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