Wordle in Julia gist for use in my blogs

blog_julia_wordle_repl_session1.jl

julia> let_in_pos = Dict{Int,Char}(); 
julia> let_not_in_pos = Dict{Char,Vector{Int}}();
julia> let_not_in_word = Set{Char}();
julia> word_set = copy(words);
julia> word=rand(word_set)
"excel"
 
julia> update_constraints_by_response!(word, "00020", let_in_pos, let_not_in_pos, let_not_in_word)
julia> word_set_reduction!(word_set, let_in_pos, let_not_in_pos, let_not_in_word)
698-element Vector{String}:
 "other"
 "water"
 ⋮
 "assed"
 "osier"
 
julia> word=rand(word_set)
"buyer"
 
julia> update_constraints_by_response!(word, "02022", let_in_pos, let_not_in_pos, let_not_in_word)
julia> word_set_reduction!(word_set, let_in_pos, let_not_in_pos, let_not_in_word)
13-element Vector{String}:
 "outer"
 "super"
 ⋮
 "fumer"
 "muter"
 
julia> word=rand(word_set)
"fumer"
 
julia> update_constraints_by_response!(word, "02022", let_in_pos, let_not_in_pos, let_not_in_word)
julia> word_set_reduction!(word_set, let_in_pos, let_not_in_pos, let_not_in_word)
10-element Vector{String}:
 "outer"
 "super"
 ⋮
 "duper"
 "nuder"
 
julia> word=rand(word_set)
"purer"
 
julia> update_constraints_by_response!(word, "12022", let_in_pos, let_not_in_pos, let_not_in_word)
julia> word_set_reduction!(word_set, let_in_pos, let_not_in_pos, let_not_in_word)
2-element Vector{String}:
 "super"
 "duper"
 
julia> word=rand(word_set)
"super"

constraint_definition.jl

let_in_pos = Dict{Int,Char}()
let_not_in_pos = Dict{Char,Vector{Int}}()
let_not_in_word = Set{Char}()

update_constraints_by_response.jl

function update_constraints_by_response!(word, response, let_in_pos, let_not_in_pos, let_not_in_word)
    for i in eachindex(response)
        c = response[i]
        if c=='2'
            let_in_pos[i]=word[i]
        elseif c=='1'
            let_not_in_pos[word[i]] = push!(get(let_not_in_pos,word[i],Int[]),i)
        else
            push!(let_not_in_word,word[i]) 
        end
    end
end

word_dict.jl

julia> words = readlines(download("https://www-cs-faculty.stanford.edu/~knuth/sgb-words.txt"))
5757-element Vector{String}:
 "which"
 "there"
 ⋮
 "biffy"
 "pupal"

word_set_reduction.jl

function word_set_reduction!(word_set, let_in_pos, let_not_in_pos, let_not_in_word)
    filter!(w->all(w[r[1]]==r[2] for r in let_in_pos), word_set)
    filter!(w->all(occursin(s[1],w) && all(w[p]!=s[1] for p in s[2]) for s in let_not_in_pos), word_set)
    filter!(w->all(!occursin(c,w[setdiff(1:5,keys(let_in_pos))]) for c in setdiff(let_not_in_word,keys(let_not_in_pos))), word_set)
end