Fix typos [skip ci]

Author: lkdvos

src/tensors/tensor.jl

@@ -124,7 +124,7 @@ _Tensor{T, A}(::UndefInitializer, V::TensorSpace) where {T, A} = _TensorMap{T, A
     TensorMap{T}(data::DenseVector{T}, codomain ← domain)
     TensorMap{T}(data::DenseVector{T}, domain → codomain)
 
-Constrct a `TensorMap` from the given raw data.
+Construct a `TensorMap` from the given raw data.
 """
 TensorMap{T}(data::DenseVector{T}, V::TensorMapSpace) where {T} =
     _TensorMap{T, typeof(data)}(data, V)
@@ -136,7 +136,7 @@ TensorMap{T}(data::DenseVector{T}, codomain::TensorSpace, domain::TensorSpace) w
     (TensorMap{T, S, N₁, N₂, A} where {S, N₁, N₂})(data::DenseVector{T}, codomain ← domain) where {T, A}
     (TensorMap{T, S, N₁, N₂, A} where {S, N₁, N₂})(data::DenseVector{T}, domain → codomain) where {T, A}
 
-Constrct a `TensorMap` from the given raw data.
+Construct a `TensorMap` from the given raw data.
 """
 function _TensorMap{T, A}(data::DenseVector{T}, V::TensorMapSpace) where {T, A}
     length(data) == dim(V) || throw(DimensionMismatch("invalid length of data"))
@@ -180,7 +180,7 @@ Here, `data` can be specified in three ways:
 3) `data` can be an `AbstractArray` of rank `N₁ + N₂` with a size matching that of the domain
    and codomain spaces, i.e. `size(data) == (dims(codomain)..., dims(domain)...)`
 
-In case 2 and 3, the `TensorMap` constructor will reconstruct the tensor data such that the
+In cases 2 and 3, the `TensorMap` constructor will reconstruct the tensor data such that the
 resulting tensor `t` satisfies `data == convert(Array, t)`, up to an error specified by `tol`.
 For the case where `sectortype(S) == Trivial` and `data isa DenseArray`, the `data` array is
 simply reshaped into a vector and used as in case 1 so that the memory will still be shared.