1 files changed, 0 insertions, 65 deletions
diff --git a/numpy/lib/benchmarks/bench_arraysetops.py b/numpy/lib/benchmarks/bench_arraysetops.py
deleted file mode 100644
index 2c77fb758..000000000
--- a/numpy/lib/benchmarks/bench_arraysetops.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import numpy as np
-import time
-from numpy.lib.arraysetops import *
-
-def bench_unique1d( plot_results = False ):
-    exponents = np.linspace( 2, 7, 9 )
-    ratios = []
-    nItems = []
-    dt1s = []
-    dt2s = []
-    for ii in exponents:
-
-        nItem = 10 ** ii
-        print 'using %d items:' % nItem
-        a = np.fix( nItem / 10 * np.random.random( nItem ) )
-
-        print 'unique:'
-        tt = time.clock()
-        b = np.unique( a )
-        dt1 = time.clock() - tt
-        print dt1
-
-        print 'unique1d:'
-        tt = time.clock()
-        c = unique1d( a )
-        dt2 = time.clock() - tt
-        print dt2
-
-
-        if dt1 < 1e-8:
-            ratio = 'ND'
-        else:
-            ratio = dt2 / dt1
-        print 'ratio:', ratio
-        print 'nUnique: %d == %d\n' % (len( b ), len( c ))
-
-        nItems.append( nItem )
-        ratios.append( ratio )
-        dt1s.append( dt1 )
-        dt2s.append( dt2 )
-
-        assert np.alltrue( b == c )
-
-    print nItems
-    print dt1s
-    print dt2s
-    print ratios
-
-    if plot_results:
-        import pylab
-
-        def plotMe( fig, fun, nItems, dt1s, dt2s ):
-            pylab.figure( fig )
-            fun( nItems, dt1s, 'g-o', linewidth = 2, markersize = 8 )
-            fun( nItems, dt2s, 'b-x', linewidth = 2, markersize = 8 )
-            pylab.legend( ('unique', 'unique1d' ) )
-            pylab.xlabel( 'nItem' )
-            pylab.ylabel( 'time [s]' )
-
-        plotMe( 1, pylab.loglog, nItems, dt1s, dt2s )
-        plotMe( 2, pylab.plot, nItems, dt1s, dt2s )
-        pylab.show()
-
-if __name__ == '__main__':
-    bench_unique1d( plot_results = True )