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diff --git a/test/fminer.rb b/test/fminer.rb
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+++ b/test/fminer.rb
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+require_relative "setup.rb"
+
+class FminerTest < MiniTest::Test
+
+  def test_fminer_bbrc
+    dataset = OpenTox::Dataset.from_csv_file File.join(DATA_DIR,"hamster_carcinogenicity.csv")
+    refute_nil dataset.id
+    feature_dataset = OpenTox::Algorithm::Fminer.bbrc dataset
+    feature_dataset = Dataset.find feature_dataset.id
+    assert_equal dataset.compounds.size, feature_dataset.compounds.size
+    # TODO: fminer calculates 62 instead of 54 features
+    # it is unclear which commit changed the numbers (occurs with old libraries/mongodb branch too
+    # modification of Compound to use smiles instead of inchis seems to have no effect
+    #assert_equal 54, feature_dataset.features.size
+    #assert_equal "C-C-C=C", feature_dataset.features.first.smarts
+    compounds = feature_dataset.compounds
+    smarts = feature_dataset.features
+    smarts.each do |smart|
+      assert smart.p_value.round(2) >= 0.95
+    end
+    match = OpenTox::Algorithm::Descriptor.smarts_match compounds, smarts
+    feature_dataset.data_entries.each_with_index do |fingerprint,i|
+      assert_equal match[i], fingerprint
+    end
+
+    dataset.delete
+    feature_dataset.delete
+  end
+
+  def test_fminer_last
+    skip "last features have to be activated"
+    dataset = OpenTox::Dataset.new
+    dataset.upload File.join(DATA_DIR,"hamster_carcinogenicity.csv")
+    feature_dataset = OpenTox::Algorithm::Fminer.last :dataset => dataset
+    assert_equal dataset.compounds.size, feature_dataset.compounds.size
+    assert_equal 21, feature_dataset.features.size
+    assert_equal '[#6&A]-[#6&a]:[#6&a]:[#6&a]:[#6&a]:[#6&a]', feature_dataset.features.first.smarts
+
+    compounds = feature_dataset.compounds
+    smarts = feature_dataset.features.collect{|f| f.smarts}
+    match = OpenTox::Algorithm::Descriptor.smarts_match compounds, smarts
+    compounds.each_with_index do |c,i|
+      smarts.each_with_index do |s,j|
+        assert_equal match[i][j], feature_dataset.data_entries[i][j].to_i
+      end
+    end
+
+    dataset.delete
+    feature_dataset.delete
+  end
+
+end