fix JET warnings

Author: royess

src/decoders/belief_propagation.jl

@@ -44,7 +44,7 @@ struct BeliefPropagationDecoder <: AbstractDecoder
   scratch::BeliefPropagationScratchSpace
 end
 
-function BeliefPropagationDecoder(H, per::Float64, max_iters::Int)
+function BeliefPropagationDecoder(H::Union{SparseArrays.SparseMatrixCSC{Bool,Int}, BitMatrix}, per::Float64, max_iters::Int)
   s, n = size(H)
   sparse_H = sparse(H)
   sparse_HT = sparse(H')
@@ -108,7 +108,7 @@ true
 function decode!(decoder::BeliefPropagationDecoder, syndrome::AbstractVector) # TODO check if casting to bitarrays helps with performance -- if it does, set up warnings to the user for cases where they have not done the casting
   reset!(decoder)
   rows::Vector{Int} = rowvals(decoder.sparse_H);
-  rowsT::Vector{Int} = rowvals(decoder.sparse_HT); 
+  rowsT::Vector{Int} = rowvals(decoder.sparse_HT);
   setup = decoder.scratch
 
   for j in 1:decoder.n
@@ -138,7 +138,7 @@ function decode!(decoder::BeliefPropagationDecoder, syndrome::AbstractVector) #
 
     for j in 1:decoder.n
       temp::Float64 = setup.channel_probs[j] / (1 - setup.channel_probs[j])
-      
+
       for k in nzrange(decoder.sparse_H, j)
         setup.bit_2_check[rows[k],j] = temp
         temp *= setup.check_2_bit[rows[k],j]
@@ -166,7 +166,7 @@ function decode!(decoder::BeliefPropagationDecoder, syndrome::AbstractVector) #
 
     syndrome_decoded = (decoder.sparse_H * setup.err) .% 2
     if all(syndrome_decoded .== syndrome)
-      converged = true 
+      converged = true
       break # Break if converged
     end
   end

src/decoders/belief_propagation_osd.jl

@@ -7,7 +7,7 @@ struct BeliefPropagationOSDDecoder <: AbstractDecoder
     osd_order::Int
 end
 
-function BeliefPropagationOSDDecoder(H, per::Float64, max_iters::Int; osd_order::Int=0)
+function BeliefPropagationOSDDecoder(H::BitMatrix, per::Float64, max_iters::Int; osd_order::Int=0)
     bp_decoder = BeliefPropagationDecoder(H, per, max_iters)
     return BeliefPropagationOSDDecoder(bp_decoder, H, osd_order)
 end
@@ -90,7 +90,9 @@ function osd(H, syndrome, bp_err, osd_order)
         # try all possible errors on the first `osd_order` bits within `most_reliable_cols`
         if x != 0
             trial_err = BitArray([x >> i & 1 for i in 0:osd_order-1])
-            err[most_reliable_cols[1:osd_order]] = trial_err
+            for j in 1:osd_order
+                err[most_reliable_cols[j]] = trial_err[j]
+            end
         end
         # then based on the `most_reliable_cols` part of errors, compute the `least_reliable_cols` part of errors
         for (i, j) in zip(least_reliable_rows, least_reliable_cols)