Correct some typos

README.md

@@ -159,7 +159,7 @@ julia> filter(isodd, dict)
  "c" │ 3
 ```
 
-The `filterview` function is provided to lazily filter a dictionary, which may occassionally
+The `filterview` function is provided to lazily filter a dictionary, which may occasionally
 be more performant when working with larger containers.
 
 The `pairs` function allows access to both the index (key) and value when iterating.
@@ -396,7 +396,7 @@ julia> zeros(UInt8, dict)
  "c" │ 0x00
 ```
 
-Note that the *indices* of the output are not guaranteed to be mutable/insertable - in fact, in the current implementation inserting or deleting indices to the output of the above can corrupt the input container (Julia suffers similar restrictions with `AbstractArray`s with mutable indices, for example changing the size of the indices of a `SubArray` can lead to corruption and segfaults). This also holds true for the output of `map`, `broadcast`, `getindices`, `similar`, `zeros`, `ones`, `falses` and `trues`. If you want a new container with indices you can insert, by sure to `copy` the indices furst, or use `empty` instead.
+Note that the *indices* of the output are not guaranteed to be mutable/insertable - in fact, in the current implementation inserting or deleting indices to the output of the above can corrupt the input container (Julia suffers similar restrictions with `AbstractArray`s with mutable indices, for example changing the size of the indices of a `SubArray` can lead to corruption and segfaults). This also holds true for the output of `map`, `broadcast`, `getindices`, `similar`, `zeros`, `ones`, `falses` and `trues`. If you want a new container with indices you can insert, by sure to `copy` the indices first, or use `empty` instead.
 
 #### Empty, insertable dictionaries indices
 
@@ -478,7 +478,7 @@ To make operations on dictionaries fast, we need to avoid unnecessary lookups in
 
 #### Implementing the token interface for `AbstractIndices`
 
-A token is a more efficient way of refering to an element of `indices`. Using tokens may
+A token is a more efficient way of referring to an element of `indices`. Using tokens may
 help avoid multiple index lookups for a single operation.
 
 A tokenizable indices must implement:
@@ -536,15 +536,15 @@ julia> @btime map(+, d1, d2);
 ```
 
 The `copy` below makes `keys(d1) !== keys(d2)`, disabling token co-iteration. It still uses
-an iterative approach rather than using mulitple hash-table lookups per element, so it's
+an iterative approach rather than using multiple hash-table lookups per element, so it's
 relatively snappy.
 
 ```julia
 julia> @btime map(+, d1, $(Dictionary(copy(keys(d2)), d2)));
   61.615 ms (20 allocations: 76.29 MiB)
 ```
 
-For a comparitive baseline benchmark, we can try the same with dense vectors.
+For a comparative baseline benchmark, we can try the same with dense vectors.
 
 ```julia
 julia> v1 = collect(10_000_000:-1:1);
@@ -557,7 +557,7 @@ julia> @btime map(+, v1, v2);
 
 Here, the vector results are in line with the dictionary co-iteration!
 
-Using insertion, instead of preserving the existing indices, is comparitively slow.
+Using insertion, instead of preserving the existing indices, is comparatively slow.
 
 ```julia
 julia> function f(d1, d2)

contrib/DenseHashDictionaries.jl

@@ -36,7 +36,7 @@ function rehash!(indices::DenseHashIndices{I}, newsize::Integer) where {I}
             else
                 trial_slot = trial_slot & bit_mask
             end
-            # This is potentially an infinte loop and care must be taken by the callee not
+            # This is potentially an infinite loop and care must be taken by the callee not
             # to overfill the container
         end
     end
@@ -84,7 +84,7 @@ function Dictionaries.gettoken(indices::DenseHashIndices{I}, i::I) where {I}
         end
 
         trial_slot = trial_slot & bit_mask
-        # This is potentially an infinte loop and care must be taken upon insertion not
+        # This is potentially an infinite loop and care must be taken upon insertion not
         # to completely fill the container
     end
 end
@@ -119,7 +119,7 @@ function Dictionaries.gettoken!(indices::DenseHashIndices{I}, i::I) where {I}
         end
 
         trial_slot = trial_slot & bit_mask
-        # This is potentially an infinte loop and care must be taken upon insertion not
+        # This is potentially an infinite loop and care must be taken upon insertion not
         # to completely fill the container
     end
 

src/AbstractDictionary.jl

@@ -180,7 +180,7 @@ function isdictequal(d1::AbstractDictionary, d2::AbstractDictionary)
     return out
 end
 
-# Lexical ordering based on iteration (of pairs - lesser key takes priority over lesser value, as implmeneted in `cmp(::Pair)`)
+# Lexical ordering based on iteration (of pairs - lesser key takes priority over lesser value, as implemented in `cmp(::Pair)`)
 function Base.isless(dict1::AbstractDictionary, dict2::AbstractDictionary)
     if sharetokens(dict1, dict2)
         @inbounds for t in tokens(dict1)
@@ -310,7 +310,7 @@ indices). The mutable interface requires the dictionary to implement:
  * `setindex!(dict::AbstractDictionary{I, T}, value::I, index::T)`
 
 New settable dictionaries are primarily created through the `similar` function (for
-unitialized values), as well as `fill`, `zeros`, `ones`, `trues` and `falses` (for
+uninitialized values), as well as `fill`, `zeros`, `ones`, `trues` and `falses` (for
 initialized values).
 
 See also `isinsertable`.
@@ -350,7 +350,7 @@ end
     similar(d::AbstractDictionary, [T=eltype(d)])
 
 Construct a new `issettable` dictionary with identical `keys` as `d` and an element type of
-`T`. The initial values are3unitialized/undefined.
+`T`. The initial values are uninitialized/undefined.
 """
 Base.similar(d::AbstractDictionary) = similar(keys(d), eltype(d))
 Base.similar(d::AbstractDictionary, ::Type{T}) where {T} = similar(keys(d), T)

src/ArrayDictionary.jl

@@ -14,7 +14,7 @@
 
     @inline function ArrayDictionary{I, T, Indices, Values}(indices::Indices, values::Values) where {I, T, Indices <: ArrayIndices{I}, Values <: AbstractArray{T}}
         @boundscheck if LinearIndices(parent(indices)) != LinearIndices(values)
-            error("Dictinary indices and values inputs do not match")
+            error("Dictionary indices and values inputs do not match")
         end
         return new(indices, values)
     end

src/Indices.jl

@@ -107,7 +107,7 @@ function Indices{I}(values::Vector{I}) where {I}
                 end
             end
             trial_slot = trial_slot & bit_mask
-            # This is potentially an infinte loop and care must be taken not to overfill the container
+            # This is potentially an infinite loop and care must be taken not to overfill the container
         end
     end
     return Indices{I}(slots, hashes, values, 0)
@@ -150,7 +150,7 @@ function Base.convert(::Type{Indices{I}}, inds::AbstractIndices) where {I}
                 end
             end
             trial_slot = trial_slot & bit_mask
-            # This is potentially an infinte loop and care must be taken not to overfill the container
+            # This is potentially an infinite loop and care must be taken not to overfill the container
         end
     end
     return Indices{I}(slots, hashes, values, 0)
@@ -224,7 +224,7 @@ function rehash!(indices::Indices{I}, newsize::Int, values = (), include_last_va
                 else
                     trial_slot = trial_slot & bit_mask
                 end
-                # This is potentially an infinte loop and care must be taken not to overfill the container
+                # This is potentially an infinite loop and care must be taken not to overfill the container
             end
         end
     else
@@ -358,7 +358,7 @@ function gettoken(indices::Indices{I}, i) where {I}
         end
 
         trial_slot = trial_slot & bit_mask
-        # This is potentially an infinte loop and care must be taken upon insertion not
+        # This is potentially an infinite loop and care must be taken upon insertion not
         # to completely fill the container
     end
 end
@@ -403,7 +403,7 @@ function gettoken!(indices::Indices{I}, i::I, values = ()) where {I}
         end
 
         trial_slot = trial_slot & bit_mask
-        # This is potentially an infinte loop and care must be taken upon insertion not
+        # This is potentially an infinite loop and care must be taken upon insertion not
         # to completely fill the container
     end
 

src/UnorderedDictionary.jl

@@ -25,7 +25,7 @@ UnorderedDictionary() = UnorderedDictionary{Any}()
     UnorderedDictionary{I, T}(indices, undef::UndefInitializer)
 
 Construct a `UnorderedDictionary` with index type `I` and element type `T`. The container is
-initialized with `keys` that match the values of `indices`, but the values are unintialized.
+initialized with `keys` that match the values of `indices`, but the values are uninitialized.
 """
 function UnorderedDictionary{I, T}(indices, ::UndefInitializer) where {I, T} 
     return UnorderedDictionary{I, T}(UnorderedIndices{I}(indices), undef)
@@ -70,7 +70,7 @@ function UnorderedDictionary{I, T}(indices, values) where {I, T}
 end
 function UnorderedDictionary{I}(indices, values) where {I}
     if Base.IteratorEltype(values) === Base.EltypeUnknown()
-        # TODO: implement automatic widening from iterators of Base.EltypeUnkown
+        # TODO: implement automatic widening from iterators of Base.EltypeUnknown
         values = collect(values)
     end
 
@@ -79,7 +79,7 @@ end
 
 function UnorderedDictionary(indices, values)
     if Base.IteratorEltype(indices) === Base.EltypeUnknown()
-        # TODO: implement automatic widening from iterators of Base.EltypeUnkown
+        # TODO: implement automatic widening from iterators of Base.EltypeUnknown
         indices = collect(indices)
     end
 

src/UnorderedIndices.jl

@@ -36,7 +36,7 @@ Construct a `UnorderedIndices` with indices from iterable container `iter`.
 """
 function UnorderedIndices(iter)
     if Base.IteratorEltype(iter) === Base.EltypeUnknown()
-        # TODO: implement automatic widening from iterators of Base.EltypeUnkown
+        # TODO: implement automatic widening from iterators of Base.EltypeUnknown
         iter = collect(iter)
     end
 

src/indexing.jl

@@ -120,4 +120,4 @@ end
 end
 
 # TODO accelerate view(::Union{Dictionary, Indices}, ::Indices) to fetch not compute the intermediate `hash`
-# (similary a sort-based index could take advantage of sort-merge algorithms on iteration?)
+# (similarly a sort-based index could take advantage of sort-merge algorithms on iteration?)

src/show.jl

@@ -80,7 +80,7 @@
         for i in Iterators.reverse(keys(d))
             if bottom_full
                 if isequal(i, top_last_index[])
-                    bottom_full = false # overide this, we don't need the ⋮
+                    bottom_full = false # override this, we don't need the ⋮
                 else
                     bottom_ind_strs[end] = "⋮"
                 end
@@ -170,7 +170,7 @@
         for i in Iterators.reverse(keys(d))
             if bottom_full
                 if isequal(i, top_last_index[])
-                    bottom_full = false # overide this, we don't need the ⋮
+                    bottom_full = false # override this, we don't need the ⋮
                 else
                     bottom_ind_strs[end] = "⋮"
                     bottom_val_strs[end] = "⋮"

src/tokens.jl

@@ -5,7 +5,7 @@
 
 Return `true` if the indices `indices` obeys the token interface, or `false` otherwise.
 
-A token is a more efficient way of refering to an element of `indices`. Using tokens may
+A token is a more efficient way of referring to an element of `indices`. Using tokens may
 help avoid multiple index lookups for a single operation.
 
 A tokenizable indices must implement:
@@ -24,7 +24,7 @@ An `isinsertable` tokenizable indices must implement
 
 Return `true` if the dictionary `dict` obeys the token interface, or `false` otherwise.
 
-A token is a more efficient way of refering to an element of `dict`. Using tokens may
+A token is a more efficient way of referring to an element of `dict`. Using tokens may
 help avoid multiple index lookups for a single operation.
 
 An tokenizable dictionary must implement:

test/Indices.jl

@@ -97,7 +97,7 @@
         @test (i5 == Indices([1,2,missing])) === missing
     end
 
-    @testset "Adapated from Dict tests from Base" begin
+    @testset "Adapted from Dict tests from Base" begin
         h = Indices{Int}()
         N = 10000
 

test/UnorderedIndices.jl

@@ -67,7 +67,7 @@
         @test issetequal(i2, i2)
     end
 
-    @testset "Adapated from Dict tests from Base" begin
+    @testset "Adapted from Dict tests from Base" begin
         h = UnorderedIndices{Int}()
         N = 10000