Rename internal methods to _something; reformat code

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 ### Added
 - Sub-hourly unit commitment
-- Added function `UnitCommitment.write(filename, solution)` to simplify saving the solution to a file
+- Added function `UnitCommitment.write(filename, solution)`
 - Added mathematical formulation to the documentation
 
 ### Changed
@@ -18,7 +18,8 @@
     - `model.isf` becomes `model[:isf]`
     - `model.lodf` becomes `model[:lodf]`
 - The function `UnitCommitment.get_solution` has been renamed to `UnitCommitment.solution`
-- The function `UnitCommitment.fix!(instance)`, which attempts to repair an invalid instance, has been renamed to `UnitCommitment.repair!(instance)`
+- All function that do not appear in the documentation have been renamed to `_something`.
+  These functions are not part of the public API and may change without notice.
 
 ## [0.1.1] - 2020-11-16
 

benchmark/run.jl

@@ -10,6 +10,8 @@ using Logging
 using Printf
 using LinearAlgebra
 
+UnitCommitment._setup_logger()
+
 function main()
     basename, suffix = split(ARGS[1], ".")
     solution_filename = "results/$basename.$suffix.sol.json"
@@ -18,7 +20,6 @@ function main()
     time_limit = 60 * 20
 
     BLAS.set_num_threads(4)
-    global_logger(TimeLogger(initial_time = time()))
 
     total_time = @elapsed begin
         @info "Reading: $basename"

src/convert.jl

@@ -4,7 +4,7 @@
 
 using DataStructures, JSON, GZip
 
-function read_json(path::String)::OrderedDict
+function _read_json(path::String)::OrderedDict
     if endswith(path, ".gz")
         file = GZip.gzopen(path)
     else
@@ -13,8 +13,8 @@ function read_json(path::String)::OrderedDict
     return JSON.parse(file, dicttype=()->DefaultOrderedDict(nothing))
 end
 
-function read_egret_solution(path::String)::OrderedDict
-    egret = read_json(path)
+function _read_egret_solution(path::String)::OrderedDict
+    egret = _read_json(path)
     T = length(egret["system"]["time_keys"])
     
     solution = OrderedDict()

src/initcond.jl

@@ -11,8 +11,10 @@ Generates feasible initial conditions for the given instance, by constructing
 and solving a single-period mixed-integer optimization problem, using the given
 optimizer. The instance is modified in-place.
 """
-function generate_initial_conditions!(instance::UnitCommitmentInstance,
-                                      optimizer)
+function generate_initial_conditions!(
+    instance::UnitCommitmentInstance,
+    optimizer,
+)::Nothing
     G = instance.units
     B = instance.buses
     t = 1
@@ -73,4 +75,5 @@ function generate_initial_conditions!(instance::UnitCommitmentInstance,
             g.initial_status = -24
         end
     end
+    return
 end

src/instance.jl

@@ -5,8 +5,8 @@
 using Printf
 using JSON
 using DataStructures
+using GZip
 import Base: getindex, time
-import GZip
 
 
 mutable struct Bus
@@ -116,18 +116,19 @@ end
 
 function read(path::AbstractString)::UnitCommitmentInstance
     if endswith(path, ".gz")
-        return read(GZip.gzopen(path))
+        return _read(gzopen(path))
     else
-        return read(open(path))
+        return _read(open(path))
     end
 end
 
 
-function read(file::IO)::UnitCommitmentInstance
-    return from_json(JSON.parse(file, dicttype=()->DefaultOrderedDict(nothing)))
+function _read(file::IO)::UnitCommitmentInstance
+    return _from_json(JSON.parse(file, dicttype=()->DefaultOrderedDict(nothing)))
 end
     
-function from_json(json; repair=true)
+
+function _from_json(json; repair=true)
     units = Unit[]
     buses = Bus[]
     contingencies = Contingency[]
@@ -160,16 +161,20 @@ function from_json(json; repair=true)
     end
     
     # Read parameters
-    power_balance_penalty = timeseries(json["Parameters"]["Power balance penalty (\$/MW)"],
-                                       default=[1000.0 for t in 1:T])
+    power_balance_penalty = timeseries(
+        json["Parameters"]["Power balance penalty (\$/MW)"],
+        default=[1000.0 for t in 1:T],
+    )
     
     # Read buses
     for (bus_name, dict) in json["Buses"]
-        bus = Bus(bus_name,
+        bus = Bus(
+            bus_name,
             length(buses),
             timeseries(dict["Load (MW)"]),
             Unit[],
-                  PriceSensitiveLoad[])
+            PriceSensitiveLoad[],
+        )
         name_to_bus[bus_name] = bus
         push!(buses, bus)
     end
@@ -251,25 +256,35 @@ function from_json(json; repair=true)
     # Read reserves
     reserves = Reserves(zeros(T))
     if "Reserves" in keys(json)
-        reserves.spinning = timeseries(json["Reserves"]["Spinning (MW)"],
-                                       default=zeros(T))
+        reserves.spinning = timeseries(
+            json["Reserves"]["Spinning (MW)"],
+            default=zeros(T),
+        )
     end
     
     # Read transmission lines
     if "Transmission lines" in keys(json)
         for (line_name, dict) in json["Transmission lines"]
-            line = TransmissionLine(line_name,
+            line = TransmissionLine(
+                line_name,
                 length(lines) + 1,
                 name_to_bus[dict["Source bus"]],
                 name_to_bus[dict["Target bus"]],
                 scalar(dict["Reactance (ohms)"]),
                 scalar(dict["Susceptance (S)"]),
-                                    timeseries(dict["Normal flow limit (MW)"],
-                                               default=[1e8 for t in 1:T]),
-                                    timeseries(dict["Emergency flow limit (MW)"],
-                                               default=[1e8 for t in 1:T]),
-                                    timeseries(dict["Flow limit penalty (\$/MW)"],
-                                               default=[5000.0 for t in 1:T]))
+                timeseries(
+                    dict["Normal flow limit (MW)"],
+                    default=[1e8 for t in 1:T],
+                ),
+                timeseries(
+                    dict["Emergency flow limit (MW)"],
+                    default=[1e8 for t in 1:T],
+                ),
+                timeseries(
+                    dict["Flow limit penalty (\$/MW)"],
+                    default=[5000.0 for t in 1:T],
+                ),
+            )
             name_to_line[line_name] = line
             push!(lines, line)
         end
@@ -295,7 +310,8 @@ function from_json(json; repair=true)
     if "Price-sensitive loads" in keys(json)
         for (load_name, dict) in json["Price-sensitive loads"]
             bus = name_to_bus[dict["Bus"]]
-            load = PriceSensitiveLoad(load_name,
+            load = PriceSensitiveLoad(
+                load_name,
                 bus,
                 timeseries(dict["Demand (MW)"]),
                 timeseries(dict["Revenue (\$/MW)"]),
@@ -305,14 +321,16 @@ function from_json(json; repair=true)
         end
     end
     
-    instance = UnitCommitmentInstance(T,
+    instance = UnitCommitmentInstance(
+        T,
         power_balance_penalty,
         units,
         buses,
         lines,
         reserves,
         contingencies,
-                                      loads)
+        loads,
+    )
     if repair
         UnitCommitment.repair!(instance)
     end
@@ -335,7 +353,10 @@ Example
     modified = UnitCommitment.slice(instance, 1:2)
 
 """
-function slice(instance::UnitCommitmentInstance, range::UnitRange{Int})::UnitCommitmentInstance
+function slice(
+    instance::UnitCommitmentInstance,
+    range::UnitRange{Int},
+)::UnitCommitmentInstance
     modified = deepcopy(instance)
     modified.time = length(range)
     modified.power_balance_penalty = modified.power_balance_penalty[range]

src/log.jl

@@ -56,9 +56,7 @@ function handle_message(logger::TimeLogger,
     end
 end
 
-function setup_logger()
+function _setup_logger()
     initial_time = time()
     global_logger(TimeLogger(initial_time=initial_time))
 end
-
-export TimeLogger

src/model.jl

@@ -50,7 +50,7 @@ function build_model(;
         if isf === nothing
             @info "Computing injection shift factors..."
             time_isf = @elapsed begin
-                isf = UnitCommitment.injection_shift_factors(
+                isf = UnitCommitment._injection_shift_factors(
                     lines=instance.lines,
                     buses=instance.buses,
                 )
@@ -59,7 +59,7 @@ function build_model(;
             
             @info "Computing line outage factors..."
             time_lodf = @elapsed begin
-                lodf = UnitCommitment.line_outage_factors(
+                lodf = UnitCommitment._line_outage_factors(
                     lines=instance.lines,
                     buses=instance.buses,
                     isf=isf,
@@ -439,7 +439,7 @@ function _build_reserve_eqs!(model::JuMP.Model)
 end
 
 
-function enforce_transmission(
+function _enforce_transmission(
     ;
     model::JuMP.Model,
     violation::Violation,
@@ -667,7 +667,7 @@ function optimize!(
         
         has_transmission || break
         
-        violations = find_violations(model)
+        violations = _find_violations(model)
         if isempty(violations)
             @info "No violations found" 
             if large_gap
@@ -677,7 +677,7 @@ function optimize!(
                 break
             end
         else
-            enforce_transmission(model, violations)
+            _enforce_transmission(model, violations)
         end
     end
     
@@ -685,7 +685,7 @@ function optimize!(
 end
 
 
-function find_violations(model::JuMP.Model)
+function _find_violations(model::JuMP.Model)
     instance = model[:instance]
     net_injection = model[:net_injection]
     overflow = model[:overflow]
@@ -702,7 +702,7 @@ function find_violations(model::JuMP.Model)
             value(overflow[lm.name, t])
             for lm in instance.lines, t in 1:instance.time
         ]
-        violations = UnitCommitment.find_violations(
+        violations = UnitCommitment._find_violations(
             instance=instance,
             net_injections=net_injection_values,
             overflow=overflow_values,
@@ -715,12 +715,12 @@ function find_violations(model::JuMP.Model)
 end
 
 
-function enforce_transmission(
+function _enforce_transmission(
     model::JuMP.Model,
     violations::Vector{Violation},
 )::Nothing
     for v in violations
-        enforce_transmission(
+        _enforce_transmission(
             model=model,
             violation=v,
             isf=model[:isf],

src/screening.jl

@@ -42,7 +42,7 @@ function ViolationFilter(;
 end
 
 
-function offer(filter::ViolationFilter, v::Violation)::Nothing
+function _offer(filter::ViolationFilter, v::Violation)::Nothing
     if v.monitored_line.offset ∉ keys(filter.queues)
         filter.queues[v.monitored_line.offset] = PriorityQueue{Violation, Float64}()
     end
@@ -59,7 +59,7 @@ function offer(filter::ViolationFilter, v::Violation)::Nothing
 end
 
 
-function query(filter::ViolationFilter)::Array{Violation, 1}
+function _query(filter::ViolationFilter)::Array{Violation, 1}
     violations = Array{Violation,1}()
     time_queue = PriorityQueue{Violation, Float64}()
     for l in keys(filter.queues)
@@ -85,7 +85,8 @@ end
 
 """
 
-    function find_violations(instance::UnitCommitmentInstance,
+    function _find_violations(
+        instance::UnitCommitmentInstance,
         net_injections::Array{Float64, 2};
         isf::Array{Float64,2},
         lodf::Array{Float64,2},
@@ -93,15 +94,18 @@ end
         max_per_period::Int = 5,
     )::Array{Violation, 1}
 
-Find transmission constraint violations (both pre-contingency, as well as post-contingency).
+Find transmission constraint violations (both pre-contingency, as well as
+post-contingency).
 
-The argument `net_injection` should be a (B-1) x T matrix, where B is the number of buses
-and T is the number of time periods. The arguments `isf` and `lodf` can be computed using
-UnitCommitment.injection_shift_factors and UnitCommitment.line_outage_factors.
-The argument `overflow` specifies how much flow above the transmission limits (in MW) is allowed.
-It should be an L x T matrix, where L is the number of transmission lines.
+The argument `net_injection` should be a (B-1) x T matrix, where B is the
+number of buses and T is the number of time periods. The arguments `isf` and
+`lodf` can be computed using UnitCommitment.injection_shift_factors and
+UnitCommitment.line_outage_factors. The argument `overflow` specifies how much
+flow above the transmission limits (in MW) is allowed. It should be an L x T
+matrix, where L is the number of transmission lines.
 """
-function find_violations(;
+function _find_violations(
+    ;
     instance::UnitCommitmentInstance,
     net_injections::Array{Float64, 2},
     overflow::Array{Float64, 2},
@@ -120,20 +124,28 @@ function find_violations(;
     size(isf) == (L, B) || error("isf has incorrect size")
     size(lodf) == (L, L) || error("lodf has incorrect size")
     
-    filters = Dict(t => ViolationFilter(max_total=max_per_period,
-                                        max_per_line=max_per_line)
-                   for t in 1:T)
+    filters = Dict(
+        t => ViolationFilter(
+            max_total=max_per_period,
+            max_per_line=max_per_line,
+        )
+        for t in 1:T
+    )
     
     pre_flow::Array{Float64} = zeros(L, K)           # pre_flow[lm, thread]
     post_flow::Array{Float64} = zeros(L, L, K)       # post_flow[lm, lc, thread]
     pre_v::Array{Float64} = zeros(L, K)              # pre_v[lm, thread]
     post_v::Array{Float64} = zeros(L, L, K)          # post_v[lm, lc, thread]
     
-    normal_limits::Array{Float64,2} = [l.normal_flow_limit[t] + overflow[l.offset, t]
-                                       for l in instance.lines, t in 1:T]
+    normal_limits::Array{Float64,2} = [
+        l.normal_flow_limit[t] + overflow[l.offset, t]
+        for l in instance.lines, t in 1:T
+    ]
     
-    emergency_limits::Array{Float64,2} = [l.emergency_flow_limit[t] + overflow[l.offset, t]
-                                          for l in instance.lines, t in 1:T]
+    emergency_limits::Array{Float64,2} = [
+        l.emergency_flow_limit[t] + overflow[l.offset, t]
+        for l in instance.lines, t in 1:T
+    ]
     
     is_vulnerable::Array{Bool} = zeros(Bool, L)
     for c in instance.contingencies
@@ -153,46 +165,57 @@ function find_violations(;
         
         # Pre-contingency violations
         for lm in 1:L
-            pre_v[lm, k] = max(0.0,
+            pre_v[lm, k] = max(
+                0.0,
                 pre_flow[lm, k] - normal_limits[lm, t],
-                               - pre_flow[lm, k] - normal_limits[lm, t])
+                - pre_flow[lm, k] - normal_limits[lm, t],
+            )
         end
         
         # Post-contingency violations
         for lc in 1:L, lm in 1:L
-            post_v[lm, lc, k] = max(0.0,
+            post_v[lm, lc, k] = max(
+                0.0,
                 post_flow[lm, lc, k] - emergency_limits[lm, t],
-                                    - post_flow[lm, lc, k] - emergency_limits[lm, t])
+                - post_flow[lm, lc, k] - emergency_limits[lm, t],
+            )
         end
         
         # Offer pre-contingency violations
         for lm in 1:L
             if pre_v[lm, k] > 1e-5
-                offer(filters[t], Violation(time=t,
+                _offer(
+                    filters[t],
+                    Violation(
+                        time=t,
                         monitored_line=instance.lines[lm],
                         outage_line=nothing,
-                                            amount=pre_v[lm, k]))
+                        amount=pre_v[lm, k],
+                    ),
+                )
             end
         end
         
         # Offer post-contingency violations
         for lm in 1:L, lc in 1:L
             if post_v[lm, lc, k] > 1e-5 && is_vulnerable[lc]
-                offer(filters[t], Violation(time=t,
+                _offer(
+                    filters[t],
+                    Violation(
+                        time=t,
                         monitored_line=instance.lines[lm],
                         outage_line=instance.lines[lc],
-                                            amount=post_v[lm, lc, k]))
+                        amount=post_v[lm, lc, k],
+                    ),
+                )
             end
         end
     end
     
     violations = Violation[]
     for t in 1:instance.time
-        append!(violations, query(filters[t]))
+        append!(violations, _query(filters[t]))
     end
     
     return violations
 end
-
-
-export Violation, ViolationFilter, offer, query, find_violations

src/sensitivity.jl

@@ -5,16 +5,17 @@
 using SparseArrays, Base.Threads, LinearAlgebra, JuMP
 
 """
-    injection_shift_factors(; buses, lines)
+    _injection_shift_factors(; buses, lines)
 
-Returns a (B-1)xL matrix M, where B is the number of buses and L is the number of transmission
-lines. For a given bus b and transmission line l, the entry M[l.offset, b.offset] indicates
-the amount of power (in MW) that flows through transmission line l when 1 MW of power is
-injected at the slack bus (the bus that has offset zero) and withdrawn from b.
+Returns a (B-1)xL matrix M, where B is the number of buses and L is the number
+of transmission lines. For a given bus b and transmission line l, the entry
+M[l.offset, b.offset] indicates the amount of power (in MW) that flows through
+transmission line l when 1 MW of power is injected at the slack bus (the bus
+that has offset zero) and withdrawn from b.
 """
-function injection_shift_factors(; buses, lines)
-    susceptance = susceptance_matrix(lines)
-    incidence = reduced_incidence_matrix(lines = lines, buses = buses)
+function _injection_shift_factors(; buses::Array{Bus}, lines::Array{TransmissionLine})
+    susceptance = _susceptance_matrix(lines)
+    incidence = _reduced_incidence_matrix(lines=lines, buses=buses)
     laplacian = transpose(incidence) * susceptance * incidence
     isf = susceptance * incidence * inv(Array(laplacian))
     return isf
@@ -22,14 +23,15 @@ end
 
 
 """
-    reduced_incidence_matrix(; buses::Array{Bus}, lines::Array{TransmissionLine})
+    _reduced_incidence_matrix(; buses::Array{Bus}, lines::Array{TransmissionLine})
 
-Returns the incidence matrix for the network, with the column corresponding to the slack
-bus is removed. More precisely, returns a (B-1) x L matrix, where B is the number of buses
-and L is the number of lines. For each row, there is a 1 element and a -1 element, indicating
-the source and target buses, respectively, for that line.
+Returns the incidence matrix for the network, with the column corresponding to
+the slack bus is removed. More precisely, returns a (B-1) x L matrix, where B
+is the number of buses and L is the number of lines. For each row, there is a 1
+element and a -1 element, indicating the source and target buses, respectively,
+for that line.
 """
-function reduced_incidence_matrix(; buses::Array{Bus}, lines::Array{TransmissionLine})
+function _reduced_incidence_matrix(; buses::Array{Bus}, lines::Array{TransmissionLine})
     matrix = spzeros(Float64, length(lines), length(buses) - 1)
     for line in lines
         if line.source.offset > 0
@@ -43,33 +45,37 @@ function reduced_incidence_matrix(; buses::Array{Bus}, lines::Array{Transmission
 end
 
 """
-    susceptance_matrix(lines::Array{TransmissionLine})
+    _susceptance_matrix(lines::Array{TransmissionLine})
 
-Returns a LxL diagonal matrix, where each diagonal entry is the susceptance of the
-corresponding transmission line.
+Returns a LxL diagonal matrix, where each diagonal entry is the susceptance of
+the corresponding transmission line.
 """
-function susceptance_matrix(lines::Array{TransmissionLine})
+function _susceptance_matrix(lines::Array{TransmissionLine})
     return Diagonal([l.susceptance for l in lines])
 end
 
 
 """
 
-    line_outage_factors(; buses, lines, isf)
+    _line_outage_factors(; buses, lines, isf)
 
-Returns a LxL matrix containing the Line Outage Distribution Factors (LODFs) for the
-given network. This matrix how does the pre-contingency flow change when each individual
-transmission line is removed.
+Returns a LxL matrix containing the Line Outage Distribution Factors (LODFs)
+for the given network. This matrix how does the pre-contingency flow change
+when each individual transmission line is removed.
 """
-function line_outage_factors(;
+function _line_outage_factors(
+    ;
     buses::Array{Bus, 1},
     lines::Array{TransmissionLine, 1},
     isf::Array{Float64,2},
 ) :: Array{Float64,2}
-
     n_lines, n_buses = size(isf)
-    incidence = Array(reduced_incidence_matrix(lines=lines,
-                                               buses=buses))
+    incidence = Array(
+        _reduced_incidence_matrix(
+            lines=lines,
+            buses=buses,
+        ),
+    )
     lodf::Array{Float64,2} = isf * transpose(incidence)
     m, n = size(lodf)
     for i in 1:n

src/sysimage.jl

@@ -10,7 +10,8 @@ using JuMP
 using MathOptInterface
 using SparseArrays
 
-pkg = [:DataStructures,
+pkg = [
+    :DataStructures,
     :JSON,
     :JuMP,
     :MathOptInterface,
@@ -18,6 +19,8 @@ pkg = [:DataStructures,
 ]
 
 @info "Building system image..."
-create_sysimage(pkg,
+create_sysimage(
+    pkg,
     precompile_statements_file="build/precompile.jl",
-                sysimage_path="build/sysimage.so")
+    sysimage_path="build/sysimage.so",
+)

src/validate.jl

@@ -9,9 +9,10 @@ bin(x) = [xi > 0.5 for xi in x]
 """
     repair!(instance)
 
-Verifies that the given unit commitment instance is valid and automatically fixes
-some validation errors if possible, issuing a warning for each error found.
-If a validation error cannot be automatically fixed, issues an exception.
+Verifies that the given unit commitment instance is valid and automatically
+fixes some validation errors if possible, issuing a warning for each error
+found. If a validation error cannot be automatically fixed, issues an
+exception.
 
 Returns the number of validation errors found.
 """
@@ -86,16 +87,17 @@ Verifies that the given solution is feasible for the problem. If feasible,
 silently returns true. In infeasible, returns false and prints the validation
 errors to the screen.
 
-This function is implemented independently from the optimization model in `model.jl`, and
-therefore can be used to verify that the model is indeed producing valid solutions. It
-can also be used to verify the solutions produced by other optimization packages.
+This function is implemented independently from the optimization model in
+`model.jl`, and therefore can be used to verify that the model is indeed
+producing valid solutions. It can also be used to verify the solutions produced
+by other optimization packages.
 """
 function validate(instance::UnitCommitmentInstance,
                   solution::Union{Dict,OrderedDict};
                  )::Bool
     err_count = 0
-    err_count += validate_units(instance, solution)
-    err_count += validate_reserve_and_demand(instance, solution)
+    err_count += _validate_units(instance, solution)
+    err_count += _validate_reserve_and_demand(instance, solution)
     
     if err_count > 0
         @error "Found $err_count validation errors"
@@ -106,7 +108,7 @@ function validate(instance::UnitCommitmentInstance,
 end
 
 
-function validate_units(instance, solution; tol=0.01)
+function _validate_units(instance, solution; tol=0.01)
     err_count = 0
     
     for unit in instance.units
@@ -300,7 +302,7 @@ function validate_units(instance, solution; tol=0.01)
 end
 
 
-function validate_reserve_and_demand(instance, solution, tol=0.01)
+function _validate_reserve_and_demand(instance, solution, tol=0.01)
     err_count = 0
     for t in 1:instance.time
         load_curtail = 0

test/convert_test.jl

@@ -6,7 +6,7 @@ using UnitCommitment
 
 @testset "convert" begin
     @testset "EGRET solution" begin
-        solution = UnitCommitment.read_egret_solution("fixtures/egret_output.json.gz")
+        solution = UnitCommitment._read_egret_solution("fixtures/egret_output.json.gz")
         for attr in ["Is on", "Production (MW)", "Production cost (\$)"]
             @test attr in keys(solution)
             @test "115_STEAM_1" in keys(solution[attr])

test/runtests.jl

@@ -5,7 +5,7 @@
 using Test
 using UnitCommitment
 
-UnitCommitment.setup_logger()
+UnitCommitment._setup_logger()
 
 @testset "UnitCommitment" begin
     include("instance_test.jl")

test/screening_test.jl

@@ -3,51 +3,83 @@
 # Released under the modified BSD license. See COPYING.md for more details.
 
 using UnitCommitment, Test, LinearAlgebra
+import UnitCommitment: Violation, _offer, _query
 
 @testset "Screening" begin
     @testset "Violation filter" begin
         instance = UnitCommitment.read_benchmark("test/case14")
-        filter = ViolationFilter(max_per_line=1, max_total=2)
+        filter = UnitCommitment.ViolationFilter(max_per_line=1, max_total=2)
 
-        offer(filter, Violation(time=1,
+        _offer(
+            filter,
+            Violation(
+                time=1,
                 monitored_line=instance.lines[1],
                 outage_line=nothing,
-                                amount=100.))
-        
-        offer(filter, Violation(time=1,
+                amount=100.,
+            ),
+        )
+        _offer(
+            filter,
+            Violation(
+                time=1,
                 monitored_line=instance.lines[1],
                 outage_line=instance.lines[1],
-                                amount=300.))
-        
-        offer(filter, Violation(time=1,
+                amount=300.,
+            ),
+        )
+        _offer(
+            filter,
+            Violation(
+                time=1,
                 monitored_line=instance.lines[1],
                 outage_line=instance.lines[5],
-                                amount=500.))
-        
-        offer(filter, Violation(time=1,
+                amount=500.,
+            ),
+        )
+        _offer(
+            filter,
+            Violation(
+                time=1,
                 monitored_line=instance.lines[1],
                 outage_line=instance.lines[4],
-                                amount=400.))
-        
-        offer(filter, Violation(time=1,
+                amount=400.,
+            ),
+        )
+        _offer(
+            filter,
+            Violation(
+                time=1,
                 monitored_line=instance.lines[2],
                 outage_line=instance.lines[1],
-                                amount=200.))
-        
-        offer(filter, Violation(time=1,
+                amount=200.,
+            ),
+        )
+        _offer(
+            filter,
+            Violation(
+                time=1,
                 monitored_line=instance.lines[2],
                 outage_line=instance.lines[8],
-                                amount=100.))
+                amount=100.,
+            )
+        )
 
-        actual = query(filter)
-        expected = [Violation(time=1,
+        actual = _query(filter)
+        expected = [
+            Violation(
+                time=1,
                 monitored_line=instance.lines[2],
                 outage_line=instance.lines[1],
-                              amount=200.),
-                    Violation(time=1,
+                amount=200.,
+            ),
+            Violation(
+                time=1,
                 monitored_line=instance.lines[1],
                 outage_line=instance.lines[5],
-                              amount=500.)]
+                amount=500.,
+            ),
+        ]
         @test actual == expected
     end
     
@@ -57,19 +89,24 @@ using UnitCommitment, Test, LinearAlgebra
             line.normal_flow_limit[t] = 1.0
             line.emergency_flow_limit[t] = 1.0
         end
-        isf = UnitCommitment.injection_shift_factors(lines=instance.lines,
-                                                     buses=instance.buses)
-        lodf = UnitCommitment.line_outage_factors(lines=instance.lines,
+        isf = UnitCommitment._injection_shift_factors(
+            lines=instance.lines,
+            buses=instance.buses,
+        )
+        lodf = UnitCommitment._line_outage_factors(
+            lines=instance.lines,
             buses=instance.buses,
-                                                  isf=isf)
+            isf=isf,
+        )
         inj = [1000.0 for b in 1:13, t in 1:instance.time]
         overflow = [0.0 for l in instance.lines, t in 1:instance.time]
-        violations = UnitCommitment.find_violations(instance=instance,
+        violations = UnitCommitment._find_violations(
+            instance=instance,
             net_injections=inj,
             overflow=overflow,
             isf=isf,
-                                                    lodf=lodf)
-        
+            lodf=lodf,
+        )
         @test length(violations) == 20
     end
 end

test/sensitivity_test.jl

@@ -7,7 +7,7 @@ using UnitCommitment, Test, LinearAlgebra
 @testset "Sensitivity" begin
     @testset "Susceptance matrix" begin
         instance = UnitCommitment.read_benchmark("test/case14")
-        actual = UnitCommitment.susceptance_matrix(instance.lines)
+        actual = UnitCommitment._susceptance_matrix(instance.lines)
         @test size(actual) == (20, 20)
         expected = Diagonal([29.5,  7.83,  8.82, 9.9,  10.04,
                              10.2,  41.45, 8.35, 3.14, 6.93,
@@ -18,8 +18,10 @@ using UnitCommitment, Test, LinearAlgebra
     
     @testset "Reduced incidence matrix" begin
         instance = UnitCommitment.read_benchmark("test/case14")
-        actual = UnitCommitment.reduced_incidence_matrix(lines=instance.lines,
-                                                         buses=instance.buses)
+        actual = UnitCommitment._reduced_incidence_matrix(
+            lines=instance.lines,
+            buses=instance.buses,
+        )
         @test size(actual) == (20, 13)
         @test actual[1,   1]  == -1.0
         @test actual[3,   1]  ==  1.0
@@ -63,8 +65,10 @@ using UnitCommitment, Test, LinearAlgebra
     
     @testset "Injection Shift Factors (ISF)" begin
         instance = UnitCommitment.read_benchmark("test/case14")
-        actual = UnitCommitment.injection_shift_factors(lines=instance.lines,
-                                                        buses=instance.buses)
+        actual = UnitCommitment._injection_shift_factors(
+            lines=instance.lines,
+            buses=instance.buses,
+        )
         @test size(actual) == (20, 13)
         @test round.(actual, digits=2) == [
             -0.84 -0.75 -0.67 -0.61 -0.63 -0.66 -0.66 -0.65 -0.65 -0.64 -0.63 -0.63 -0.64;
@@ -91,17 +95,23 @@ using UnitCommitment, Test, LinearAlgebra
 
     @testset "Line Outage Distribution Factors (LODF)" begin
         instance = UnitCommitment.read_benchmark("test/case14")
-        isf_before = UnitCommitment.injection_shift_factors(lines=instance.lines,
-                                                            buses=instance.buses)
-        lodf = UnitCommitment.line_outage_factors(lines=instance.lines,
+        isf_before = UnitCommitment._injection_shift_factors(
+            lines=instance.lines,
             buses=instance.buses,
-                                                  isf=isf_before)
+        )
+        lodf = UnitCommitment._line_outage_factors(
+            lines=instance.lines,
+            buses=instance.buses,
+            isf=isf_before,
+        )
         for contingency in instance.contingencies
             for lc in contingency.lines
                 prev_susceptance = lc.susceptance
                 lc.susceptance = 0.0
-                isf_after =  UnitCommitment.injection_shift_factors(lines=instance.lines,
-                                                                    buses=instance.buses)
+                isf_after =  UnitCommitment._injection_shift_factors(
+                    lines=instance.lines,
+                    buses=instance.buses,
+                )
                 lc.susceptance = prev_susceptance
                 for lm in instance.lines
                     expected = isf_after[lm.offset, :]

test/validate_test.jl

@@ -14,7 +14,7 @@ parse_case14() = JSON.parse(GZip.gzopen("../instances/test/case14.json.gz"),
             json = parse_case14()
             json["Generators"]["g1"]["Production cost curve (MW)"] = [100, 150, 200]
             json["Generators"]["g1"]["Production cost curve (\$)"] = [10, 25, 30]
-            instance = UnitCommitment.from_json(json, repair=false)
+            instance = UnitCommitment._from_json(json, repair=false)
             @test UnitCommitment.repair!(instance) == 4
         end
         
@@ -23,7 +23,7 @@ parse_case14() = JSON.parse(GZip.gzopen("../instances/test/case14.json.gz"),
             json["Generators"]["g1"]["Production cost curve (MW)"] = [100, 150]
             json["Generators"]["g1"]["Production cost curve (\$)"] = [100, 150]
             json["Generators"]["g1"]["Startup limit (MW)"] = 80
-            instance = UnitCommitment.from_json(json, repair=false)
+            instance = UnitCommitment._from_json(json, repair=false)
             @test UnitCommitment.repair!(instance) == 1
         end
         
@@ -31,7 +31,7 @@ parse_case14() = JSON.parse(GZip.gzopen("../instances/test/case14.json.gz"),
             json = parse_case14()
             json["Generators"]["g1"]["Startup costs (\$)"] = [300, 200, 100]
             json["Generators"]["g1"]["Startup delays (h)"] = [8, 4, 2]
-            instance = UnitCommitment.from_json(json, repair=false)
+            instance = UnitCommitment._from_json(json, repair=false)
             @test UnitCommitment.repair!(instance) == 4
         end