<p>In <a href="https://github.com/mlpack/mlpack/pull/605#discussion_r58574468">src/mlpack/tests/lsh_test.cpp</a>:</p>
<pre style='color:#555'>&gt;      }
&gt; +    if ( !fail )
&gt; +    {
&gt; +      break; //if test passes one time, it is sufficient
&gt; +    }
&gt; +
&gt; +  }
&gt; +  BOOST_REQUIRE(fail == false);
&gt; +   
&gt; +  //Test: Run LSH with varying hash width, keeping all other parameters 
&gt; +  //constant. Compute the recall, i.e. the number of reported neighbors that
&gt; +  //are real neighbors of the query.
&gt; +  //LSH&#39;s property is that (with high probability), increasing the hash width
&gt; +  //will increase recall. Epsilon ensures that if noise lightly affects the 
&gt; +  //projections, the test will not fail.
</pre>
<p>We should probably make this a separate <code>BOOST_AUTO_TEST_CASE()</code>, even though we'll have to load the data twice.</p>

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