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require "spec_helper"
describe "Solutions when using the ruby solver" do
before do
Solve.engine = :ruby
end
it "chooses the correct artifact for the demands" do
graph = Solve::Graph.new
graph.artifact("mysql", "2.0.0")
graph.artifact("mysql", "1.2.0")
graph.artifact("nginx", "1.0.0").depends("mysql", "= 1.2.0")
result = Solve.it!(graph, [["nginx", "= 1.0.0"], ["mysql"]])
result.should eql("nginx" => "1.0.0", "mysql" => "1.2.0")
end
it "chooses the best artifact for the demands" do
graph = Solve::Graph.new
graph.artifact("mysql", "2.0.0")
graph.artifact("mysql", "1.2.0")
graph.artifact("nginx", "1.0.0").depends("mysql", ">= 1.2.0")
result = Solve.it!(graph, [["nginx", "= 1.0.0"], ["mysql"]])
result.should eql("nginx" => "1.0.0", "mysql" => "2.0.0")
end
it "raises NoSolutionError when a solution cannot be found" do
graph = Solve::Graph.new
graph.artifact("mysql", "1.2.0")
lambda {
Solve.it!(graph, ["mysql", ">= 2.0.0"])
}.should raise_error(Solve::Errors::NoSolutionError)
end
it "find the correct solution when backtracking in variables introduced via demands" do
graph = Solve::Graph.new
graph.artifact("D", "1.2.0")
graph.artifact("D", "1.3.0")
graph.artifact("D", "1.4.0")
graph.artifact("D", "2.0.0")
graph.artifact("D", "2.1.0")
graph.artifact("C", "2.0.0").depends("D", "= 1.2.0")
graph.artifact("C", "2.1.0").depends("D", ">= 2.1.0")
graph.artifact("C", "2.2.0").depends("D", "> 2.0.0")
graph.artifact("B", "1.0.0").depends("D", "= 1.0.0")
graph.artifact("B", "1.1.0").depends("D", "= 1.0.0")
graph.artifact("B", "2.0.0").depends("D", ">= 1.3.0")
graph.artifact("B", "2.1.0").depends("D", ">= 2.0.0")
graph.artifact("A", "1.0.0").depends("B", "> 2.0.0")
graph.artifact("A", "1.0.0").depends("C", "= 2.1.0")
graph.artifact("A", "1.0.1").depends("B", "> 1.0.0")
graph.artifact("A", "1.0.1").depends("C", "= 2.1.0")
graph.artifact("A", "1.0.2").depends("B", "> 1.0.0")
graph.artifact("A", "1.0.2").depends("C", "= 2.0.0")
result = Solve.it!(graph, [["A", "~> 1.0.0"], ["D", ">= 2.0.0"]])
result.should eql("A" => "1.0.1",
"B" => "2.1.0",
"C" => "2.1.0",
"D" => "2.1.0")
end
it "rejects a circular dependency with a circular dep error" do
graph = Solve::Graph.new
graph.artifact("A", "1.0.0").depends("B", "1.0.0")
graph.artifact("B", "1.0.0").depends("C", "1.0.0")
graph.artifact("C", "1.0.0").depends("A", "1.0.0")
expect { Solve.it!(graph, [["A", "1.0.0"]]) }.to raise_error(Solve::Errors::NoSolutionError)
end
it "rejects a p shaped depenency chain with a circular dep error" do
graph = Solve::Graph.new
graph.artifact("A", "1.0.0").depends("B", "1.0.0")
graph.artifact("B", "1.0.0").depends("C", "1.0.0")
graph.artifact("C", "1.0.0").depends("B", "1.0.0")
expect { Solve.it!(graph, [["A", "1.0.0"]]) }.to raise_error(Solve::Errors::NoSolutionError)
end
it "finds the correct solution when there is a diamond shaped dependency" do
graph = Solve::Graph.new
graph.artifact("A", "1.0.0")
.depends("B", "1.0.0")
.depends("C", "1.0.0")
graph.artifact("B", "1.0.0")
.depends("D", "1.0.0")
graph.artifact("C", "1.0.0")
.depends("D", "1.0.0")
graph.artifact("D", "1.0.0")
result = Solve.it!(graph, [["A", "1.0.0"]])
result.should eql("A" => "1.0.0",
"B" => "1.0.0",
"C" => "1.0.0",
"D" => "1.0.0")
end
it "solves when packages and constraints have prerelease elements" do
graph = Solve::Graph.new
graph.artifact("A", "1.0.0")
.depends("B", ">= 1.0.0-alpha")
graph.artifact("B", "1.0.0-alpha")
.depends("C", "1.0.0")
graph.artifact("C", "1.0.0")
result = Solve.it!(graph, [["A", "1.0.0"]])
result.should eql("A" => "1.0.0",
"B" => "1.0.0-alpha",
"C" => "1.0.0")
end
it "solves when packages and constraints have build elements" do
graph = Solve::Graph.new
graph.artifact("A", "1.0.0")
.depends("B", ">= 1.0.0+build")
graph.artifact("B", "1.0.0+build")
.depends("C", "1.0.0")
graph.artifact("C", "1.0.0")
result = Solve.it!(graph, [["A", "1.0.0"]])
result.should eql("A" => "1.0.0",
"B" => "1.0.0+build",
"C" => "1.0.0")
end
it "fails with a self dependency" do
graph = Solve::Graph.new
graph.artifact("bottom", "1.0.0")
graph.artifact("middle", "1.0.0").depends("top", "= 1.0.0").depends("middle")
demands = [["bottom", "1.0.0"], ["middle", "1.0.0"]]
expect { Solve.it!(graph, demands, { sorted: true } ) }.to raise_error do |error|
error.should be_a(Solve::Errors::NoSolutionError)
end
end
it "gives an empty solution when there are no demands" do
graph = Solve::Graph.new
result = Solve.it!(graph, [])
result.should eql({})
end
it "tries all combinations until it finds a solution" do
graph = Solve::Graph.new
graph.artifact("A", "1.0.0").depends("B", "~> 1.0.0")
graph.artifact("A", "1.0.1").depends("B", "~> 1.0.0")
graph.artifact("A", "1.0.2").depends("B", "~> 1.0.0")
graph.artifact("B", "1.0.0").depends("C", "~> 1.0.0")
graph.artifact("B", "1.0.1").depends("C", "~> 1.0.0")
graph.artifact("B", "1.0.2").depends("C", "~> 1.0.0")
graph.artifact("C", "1.0.0").depends("D", "1.0.0")
graph.artifact("C", "1.0.1").depends("D", "1.0.0")
graph.artifact("C", "1.0.2").depends("D", "1.0.0")
# Note:
# This test previously used two circular dependencies:
# (D 1.0.0) -> A < 0.0.0
# (D 0.0.0) -> A = 0.0.0
# But Molinillo doesn't support circular dependencies at all.
# ensure we can't find a solution in the above
graph.artifact("D", "1.0.0").depends("E", "< 0.0.0")
# Add a solution to the graph that should be reached only after all of the
# others have been tried
graph.artifact("A", "0.0.0").depends("B", "0.0.0")
graph.artifact("B", "0.0.0").depends("C", "0.0.0")
graph.artifact("C", "0.0.0").depends("D", "0.0.0")
graph.artifact("D", "0.0.0")
demands = [["A"]]
result = Solve.it!(graph, demands)
result.should eql({ "A" => "0.0.0",
"B" => "0.0.0",
"C" => "0.0.0",
"D" => "0.0.0" })
end
it "correctly resolves when a resolution exists but it is not the latest" do
graph = Solve::Graph.new
graph.artifact("get-the-old-one", "1.0.0")
.depends("locked-mid-1", ">= 0.0.0")
.depends("locked-mid-2", ">= 0.0.0")
graph.artifact("get-the-old-one", "0.5.0")
graph.artifact("locked-mid-1", "2.0.0").depends("old-bottom", "= 2.0.0")
graph.artifact("locked-mid-1", "1.3.0").depends("old-bottom", "= 0.5.0")
graph.artifact("locked-mid-1", "1.0.0")
graph.artifact("locked-mid-2", "2.0.0").depends("old-bottom", "= 2.1.0")
graph.artifact("locked-mid-2", "1.4.0").depends("old-bottom", "= 0.5.0")
graph.artifact("locked-mid-2", "1.0.0")
graph.artifact("old-bottom", "2.1.0")
graph.artifact("old-bottom", "2.0.0")
graph.artifact("old-bottom", "1.0.0")
graph.artifact("old-bottom", "0.5.0")
demands = [["get-the-old-one"]]
result = Solve.it!(graph, demands)
# Note: Gecode solver is different. It picks:
#
# "get-the-old-one" => "1.0.0",
# "locked-mid-1" => "1.0.0",
# "locked-mid-2" => "2.0.0",
# "old-bottom" => "2.1.0"
result.should eql({
"get-the-old-one" => "1.0.0",
"locked-mid-1" => "2.0.0",
"locked-mid-2" => "1.0.0",
"old-bottom" => "2.0.0",
})
end
describe "when options[:sorted] is true" do
describe "with a simple list of dependencies" do
it "returns a sorted list of dependencies" do
graph = Solve::Graph.new
graph.artifact("A", "1.0.0").depends("B", "= 1.0.0")
graph.artifact("B", "1.0.0").depends("C", "= 1.0.0")
graph.artifact("C", "1.0.0")
demands = [["A"]]
result = Solve.it!(graph, demands, { sorted: true })
result.should eql([
["C", "1.0.0"],
["B", "1.0.0"],
["A", "1.0.0"],
])
end
end
# The order that the demands come in determines the order of artifacts
# in the solver's variable_table. This must not determine the sort order
describe "with a constraint that depends upon an earlier constrained artifact" do
it "returns a sorted list of dependencies" do
graph = Solve::Graph.new
graph.artifact("B", "1.0.0").depends("A", "= 1.0.0")
graph.artifact("A", "1.0.0").depends("C", "= 1.0.0")
graph.artifact("C", "1.0.0")
demands = [["A"], ["B"]]
result = Solve.it!(graph, demands, { sorted: true } )
result.should eql([
["C", "1.0.0"],
["A", "1.0.0"],
["B", "1.0.0"],
])
end
end
describe "when the solution is cyclic" do
it "raises a Solve::Errors::NoSolutionError because Molinillo doesn't support circular deps" do
graph = Solve::Graph.new
graph.artifact("A", "1.0.0").depends("B", "= 1.0.0")
graph.artifact("B", "1.0.0").depends("C", "= 1.0.0")
graph.artifact("C", "1.0.0").depends("A", "= 1.0.0")
demands = [["A"]]
expect { Solve.it!(graph, demands, { sorted: true } ) }.to raise_error(Solve::Errors::NoSolutionError)
end
end
end
end
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