Switch to Project.toml

Project.toml

@@ -0,0 +1,52 @@
+name = "FlashWeave"
+uuid = "2be3f83a-7913-5748-9f20-7d448995b934"
+keywords = ["metagenomics", "microbiome", "probabilistic-graphical-models", "high-performance-computing", "compositional-data", "metadata", "ecological-network", "co-occurence", "julia", "bioinformatics"]
+license = "GPL-3.0"
+desc = "Inference of microbial interaction networks from large-scale heterogeneous abundance data"
+version = "0.15.0"
+authors = ["Janko Tackmann <[email protected]>"]
+
+[deps]
+Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
+DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
+Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
+DelimitedFiles = "8bb1440f-4735-579b-a4ab-409b98df4dab"
+Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
+Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
+FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
+HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
+JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
+JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
+LightGraphs = "093fc24a-ae57-5d10-9952-331d41423f4d"
+LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+SharedArrays = "1a1011a3-84de-559e-8e89-a11a2f7dc383"
+SimpleWeightedGraphs = "47aef6b3-ad0c-573a-a1e2-d07658019622"
+SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
+Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
+
+[compat]
+Combinatorics = "1"
+DataStructures = "0.17"#[0.12.0]"
+Distributions = "0.21"#"0.16, 0.21, 0.22"
+FileIO = "1"
+HDF5 = "0.12"#"≥ 0.10.0"
+JLD2 = "0.1"#"≥ 0.1.0"
+JSON = "0.21"#"≥ 0.19.0"
+LightGraphs = "1"
+SimpleWeightedGraphs = "1"
+StatsBase = "0.32"#"[0.25.0, 0.32]"
+julia = "1"
+
+[extras]
+DelimitedFiles = "8bb1440f-4735-579b-a4ab-409b98df4dab"
+Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
+Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
+Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
+Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[targets]
+test = ["Statistics", "DelimitedFiles", "Test", "SparseArrays", "Random", "Logging", "Distributed"]

test/tests.jl

@@ -1,6 +1,5 @@
 using FlashWeave
 using FlashWeave: TestResult
-#using FileIO
 using Test
 using DelimitedFiles
 
@@ -10,8 +9,6 @@ data_clr_nz, mask = FlashWeave.preprocess_data_default(data, "fz_nz", verbose=fa
 data_bin, mask = FlashWeave.preprocess_data_default(data, "mi", verbose=false, prec=64)
 data_mi_nz, mask = FlashWeave.preprocess_data_default(data, "mi_nz", verbose=false, prec=64)
 
-#exp_dict = load(joinpath("data", "tests_expected.jld2"))["exp_dict"]
-
 function compare_test_results(r1::FlashWeave.TestResult, r2::FlashWeave.TestResult)
     isapprox(r1.stat, r2.stat, rtol=1e-2) && isapprox(r1.pval, r2.pval, rtol=1e-2) && r1.df == r2.df && r1.suff_power == r2.suff_power
 end