fix docs

Makefile

@@ -0,0 +1,28 @@
+JL = julia --project
+
+default: init test
+
+init:
+	$(JL) -e 'using Pkg; Pkg.precompile()'
+init-docs:
+	$(JL) -e 'using Pkg; Pkg.activate("docs"); Pkg.develop(path="."), Pkg.precompile()'
+
+update:
+	$(JL) -e 'using Pkg; Pkg.update(); Pkg.precompile()'
+update-docs:
+	$(JL) -e 'using Pkg; Pkg.activate("docs"); Pkg.update(); Pkg.precompile()'
+
+test:
+	$(JL) -e 'using Pkg; Pkg.test("GenericTensorNetworks")'
+
+coverage:
+	$(JL) -e 'using Pkg; Pkg.test("GenericTensorNetworks"; coverage=true)'
+
+serve:
+	$(JL) -e 'using Pkg; Pkg.activate("docs"); using LiveServer; servedocs(;skip_dirs=["docs/src/assets", "docs/src/generated"], literate_dir="examples")'
+
+clean:
+	rm -rf docs/build
+	find . -name "*.cov" -type f -print0 | xargs -0 /bin/rm -f
+
+.PHONY: init test coverage serve clean init-docs update update-docs

examples/hard-core-lattice-gas/main.jl

@@ -39,7 +39,7 @@ show_graph(graph; locs=sites, texts=fill("", length(sites)))
 # The independent set problem involves finding a set of vertices in a graph such that no two vertices in the set are adjacent (i.e., there is no edge connecting them).
 # One can create a tensor network based modeling of an independent set problem with package [`GenericTensorNetworks.jl`](https://github.com/QuEraComputing/GenericTensorNetworks.jl).
 using GenericTensorNetworks
-problem = IndependentSet(graph; optimizer=GreedyMethod());
+problem = IndependentSet(graph)
 
 # There are plenty of discussions related to solution space properties in the `GenericTensorNetworks` [documentaion page](https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/IndependentSet/).
 # In this example, we show how to use `TensorInference` to use probabilistic inference for understand the finite temperature properties of this statistical model.