JuliaLang/julia

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  reshape(A, dims...) -> AbstractArray
  reshape(A, dims) -> AbstractArray

  Return an array with the same data as A, but with different dimension sizes or number of dimensions. The two arrays share the
  same underlying data, so that the result is mutable if and only if A is mutable, and setting elements of one alters the
  values of the other.

  The new dimensions may be specified either as a list of arguments or as a shape tuple. At most one dimension may be specified
  with a :, in which case its length is computed such that its product with all the specified dimensions is equal to the length
  of the original array A. The total number of elements must not change.

  Examples
  ≡≡≡≡≡≡≡≡≡≡

  julia> A = Vector(1:16)
  16-element Vector{Int64}:
    1
    2
    3
    4
    5
    6
    7
    8
    9
   10
   11
   12
   13
   14
   15
   16

  julia> reshape(A, (4, 4))
  4×4 Matrix{Int64}:
   1  5   9  13
   2  6  10  14
   3  7  11  15
   4  8  12  16

  julia> reshape(A, 2, :)
  2×8 Matrix{Int64}:
   1  3  5  7   9  11  13  15
   2  4  6  8  10  12  14  16

  julia> reshape(1:6, 2, 3)
  2×3 reshape(::UnitRange{Int64}, 2, 3) with eltype Int64:
   1  3  5
   2  4  6