error with an infeasible diet problem

[chkwon]

using JuMP, Clp, LinearAlgebra
solver = Clp.Optimizer

# Nutrition guidelines
numCategories = 4
categories = ["calories", "protein", "fat", "sodium"]
minNutrition = [1800, 91, 0, 0]
maxNutrition = [2200, Inf, 65, 1779]

# Foods
numFoods = 9
foods = ["hamburger", "chicken", "hot dog", "fries",
                 "macaroni", "pizza", "salad", "milk", "ice cream"]
cost = [2.49, 2.89, 1.50, 1.89, 2.09, 1.99, 2.49, 0.89, 1.59]
nutritionValues = [410 24 26 730;
                   420 32 10 1190;
                   560 20 32 1800;
                   380  4 19 270;
                   320 12 10 930;
                   320 15 12 820;
                   320 31 12 1230;
                   100  8 2.5 125;
                   330  8 10 180]

# Build model
m = Model(with_optimizer(solver))

# Variables for nutrition info
@variable(m, minNutrition[i] <= nutrition[i=1:numCategories] <= maxNutrition[i])
# Variables for which foods to buy
@variable(m, buy[i=1:numFoods] >= 0)

# Objective - minimize cost
@objective(m, Min, dot(cost, buy))

# Nutrition constraints
for j = 1:numCategories
    @constraint(m, sum(nutritionValues[i,j]*buy[i] for i=1:numFoods) == nutrition[j])
end

@constraint(m, buy[8] + buy[9] <= 6)

# Solve
JuMP.optimize!(m)

The above code generates an error in Julia v1.0

Coin0506I Presolve 5 (0) rows, 9 (-4) columns and 38 (-4) elements
Clp0006I 0  Obj 0 Primal inf 16.526772 (2)
Clp0006I 5  Obj 11.828861 Primal inf 2.9401859 (2)
Clp0006I 5  Obj 11.828861 Primal inf 2.9401859 (2)
Clp0001I Primal infeasible - objective value 11.828861
Coin0505I Presolved problem not optimal, resolve after postsolve
Coin0511I After Postsolve, objective 11.828861, infeasibilities - dual 0 (0), primal 3.5614582 (1)
Clp0032I PrimalInfeasible objective 11.82886111 - 5 iterations time 0.002, Presolve 0.00
ERROR: MethodError: no method matching Array{Float64,N} where N(::Int64)
Closest candidates are:
  Array{Float64,N} where N(::UndefInitializer, ::Int64) where T at boot.jl:408
  Array{Float64,N} where N(::UndefInitializer, ::Int64, ::Int64) where T at boot.jl:409
  Array{Float64,N} where N(::UndefInitializer, ::Int64, ::Int64, ::Int64) where T at boot.jl:410
  ...
Stacktrace:
 [1] infeasibility_ray(::Clp.ClpCInterface.ClpModel) at /Users/chkwon/.julia/packages/Clp/qWiux/src/ClpCInterface.jl:879
 [2] get_farkas_dual!(::Clp.Optimizer, ::Array{Float64,1}) at /Users/chkwon/.julia/packages/Clp/qWiux/src/MOIWrapper.jl:305
 [3] optimize!(::Clp.Optimizer) at /Users/chkwon/.julia/packages/LinQuadOptInterface/RY8jg/src/solve.jl:57
 [4] optimize!(::MathOptInterface.Utilities.CachingOptimizer{MathOptInterface.AbstractOptimizer,MathOptInterface.Utilities.UniversalFallback{JuMP.JuMPMOIModel{Float64}}}) at /Users/chkwon/.julia/packages/MathOptInterface/62rhX/src/Utilities/cachingoptimizer.jl:162
 [5] optimize!(::MathOptInterface.Bridges.LazyBridgeOptimizer{MathOptInterface.Utilities.CachingOptimizer{MathOptInterface.AbstractOptimizer,MathOptInterface.Utilities.UniversalFallback{JuMP.JuMPMOIModel{Float64}}},MathOptInterface.Bridges.AllBridgedConstraints{Float64}}) at /Users/chkwon/.julia/packages/MathOptInterface/62rhX/src/Bridges/bridgeoptimizer.jl:73
 [6] #optimize!#94(::Bool, ::Function, ::Model, ::Nothing) at /Users/chkwon/.julia/packages/JuMP/LjMor/src/optimizer_interface.jl:65
 [7] optimize! at /Users/chkwon/.julia/packages/JuMP/LjMor/src/optimizer_interface.jl:42 [inlined] (repeats 2 times)
 [8] top-level scope at none:0

When the same code is run at Julia v0.7:

┌ Warning: `Array{T}(m::Int) where T` is deprecated, use `Array{T}(undef, m)` instead.
│   caller = infeasibility_ray(::Clp.ClpCInterface.ClpModel) at ClpCInterface.jl:879
└ @ Clp.ClpCInterface ~/.julia/packages/Clp/qWiux/src/ClpCInterface.jl:879