doctest failure in src/performance.md:228-312 ```jldoctest example1 @finch_code (C .= 0; for j=_, i=_; C[] += f(A[i, j], B[i, j]) end) # output quote C = (ex.bodies[1]).tns.bind A_lvl = ((ex.bodies[2]).body.body.rhs.args[1]).tns.bind.lvl A_lvl_2 = A_lvl.lvl A_lvl_ptr = A_lvl_2.ptr A_lvl_idx = A_lvl_2.idx A_lvl_2_val = A_lvl_2.lvl.val B = ((ex.bodies[2]).body.body.rhs.args[2]).tns.bind sugar_1 = size(B) B_mode1_stop = sugar_1[1] B_mode2_stop = sugar_1[2] B_mode1_stop == A_lvl_2.shape || throw(DimensionMismatch("mismatched dimension limits ($(B_mode1_stop) != $(A_lvl_2.shape))")) B_mode2_stop == A_lvl.shape || throw(DimensionMismatch("mismatched dimension limits ($(B_mode2_stop) != $(A_lvl.shape))")) C_val = 0 for j_4 = 1:B_mode2_stop sugar_2 = size(B) B_mode1_stop = sugar_2[1] A_lvl_q = (1 - 1) * A_lvl.shape + j_4 A_lvl_2_q = A_lvl_ptr[A_lvl_q] A_lvl_2_q_stop = A_lvl_ptr[A_lvl_q + 1] if A_lvl_2_q < A_lvl_2_q_stop A_lvl_2_i1 = A_lvl_idx[A_lvl_2_q_stop - 1] else A_lvl_2_i1 = 0 end phase_stop = min(B_mode1_stop, A_lvl_2_i1) if phase_stop >= 1 i = 1 if A_lvl_idx[A_lvl_2_q] < 1 A_lvl_2_q = Finch.scansearch(A_lvl_idx, 1, A_lvl_2_q, A_lvl_2_q_stop - 1) end while true A_lvl_2_i = A_lvl_idx[A_lvl_2_q] if A_lvl_2_i < phase_stop for i_6 = i:A_lvl_2_i - 1 val = B[i_6, j_4] C_val = f(0.0, val) + C_val end A_lvl_3_val = A_lvl_2_val[A_lvl_2_q] sugar_4 = size(B) B_mode1_stop = sugar_4[1] val = B[A_lvl_2_i, j_4] C_val = C_val + f(A_lvl_3_val, val) A_lvl_2_q += 1 i = A_lvl_2_i + 1 else phase_stop_3 = min(A_lvl_2_i, phase_stop) if A_lvl_2_i == phase_stop_3 for i_8 = i:phase_stop_3 - 1 val = B[i_8, j_4] C_val = C_val + f(0.0, val) end A_lvl_3_val = A_lvl_2_val[A_lvl_2_q] sugar_6 = size(B) B_mode1_stop = sugar_6[1] val = B[phase_stop_3, j_4] C_val = C_val + f(A_lvl_3_val, val) A_lvl_2_q += 1 else for i_10 = i:phase_stop_3 val = B[i_10, j_4] C_val = C_val + f(0.0, val) end end i = phase_stop_3 + 1 break end end end phase_start_3 = max(1, 1 + A_lvl_2_i1) if B_mode1_stop >= phase_start_3 for i_12 = phase_start_3:B_mode1_stop val = B[i_12, j_4] C_val = C_val + f(0.0, val) end end end (C = (Scalar){0.0, Float64}(C_val),) end ``` Subexpression: @finch_code (C .= 0; for j=_, i=_; C[] += f(A[i, j], B[i, j]) end) Evaluated output: quote C = (ex.bodies[1]).tns.bind A_lvl = ((ex.bodies[2]).body.body.rhs.args[1]).tns.bind.lvl A_lvl_2 = A_lvl.lvl A_lvl_ptr = A_lvl_2.ptr A_lvl_idx = A_lvl_2.idx A_lvl_2_val = A_lvl_2.lvl.val B = ((ex.bodies[2]).body.body.rhs.args[2]).tns.bind sugar_1 = size(B) B_mode1_stop = sugar_1[1] B_mode2_stop = sugar_1[2] B_mode1_stop == A_lvl_2.shape || throw(DimensionMismatch("mismatched dimension limits ($(B_mode1_stop) != $(A_lvl_2.shape))")) B_mode2_stop == A_lvl.shape || throw(DimensionMismatch("mismatched dimension limits ($(B_mode2_stop) != $(A_lvl.shape))")) C_val = 0 for j_4 = 1:B_mode2_stop sugar_2 = size(B) B_mode1_stop = sugar_2[1] B_mode2_stop = sugar_2[2]

doctest failure in src/index.md:61-79 ```jldoctest example1; setup=:(using Finch; A = rand(5, 5); s = Scalar(0)) julia> @finch_code for i=_, j=_ ; s[] += A[i, j] end quote s = ex.body.body.lhs.tns.bind s_val = s.val A = ex.body.body.rhs.tns.bind sugar_1 = size(A) A_mode1_stop = sugar_1[1] A_mode2_stop = sugar_1[2] @warn "Performance Warning: non-concordant traversal of A[i, j] (hint: most arrays prefer column major or first index fast, run in fast mode to ignore this warning)" for i_3 = 1:A_mode1_stop for j_3 = 1:A_mode2_stop val = A[i_3, j_3] s_val = val + s_val end end (s = (Scalar){0, Int64}(s_val),) end ``` Subexpression: @finch_code for i=_, j=_ ; s[] += A[i, j] end Evaluated output: quote s = ex.body.body.lhs.tns.bind s_val = s.val A = ex.body.body.rhs.tns.bind sugar_1 = size(A) A_mode1_stop = sugar_1[1] A_mode2_stop = sugar_1[2] @warn "Performance Warning: non-concordant traversal of A[i, j] (hint: most arrays prefer column major or first index fast, run in fast mode to ignore this warning)" for i_3 = 1:A_mode1_stop for j_3 = 1:A_mode2_stop sugar_3 = size(A) A_mode1_stop = sugar_3[1] A_mode2_stop = sugar_3[2] val = A[i_3, j_3] s_val = val + s_val end end (s = (Scalar){0, Int64}(s_val),) end Expected output: quote s = ex.body.body.lhs.tns.bind s_val = s.val A = ex.body.body.rhs.tns.bind sugar_1 = size(A) A_mode1_stop = sugar_1[1] A_mode2_stop = sugar_1[2] @warn "Performance Warning: non-concordant traversal of A[i, j] (hint: most arrays prefer column major or first index fast, run in fast mode to ignore this warning)" for i_3 = 1:A_mode1_stop for j_3 = 1:A_mode2_stop val = A[i_3, j_3] s_val = val + s_val end end (s = (Scalar){0, Int64}(s_val),) end diff = Warning: Diff output requires color. quote s = ex.body.body.lhs.tns.bind s_val = s.val A = ex.body.body.rhs.tns.bind sugar_1 = size(A) A_mode1_stop = sugar_1[1] A_mode2_stop = sugar_1[2] @warn "Performance Warning: non-concordant traversal of A[i, j] (hint: most arrays prefer column major or first index fast, run in fast mode to ignore this warning)" for i_3 = 1:A_mode1_stop for j_3 = 1:A_mode2_stop sugar_3 = size(A) A_mode1_stop = sugar_3[1] A_mode2_stop = sugar_3[2] val = A[i_3, j_3] s_val = val + s_val end end (s = (Scalar){0, Int64}(s_val),) end