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author | rgommers <ralf.gommers@googlemail.com> | 2011-03-07 09:12:50 +0800 |
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committer | rgommers <ralf.gommers@googlemail.com> | 2011-03-11 12:27:02 +0800 |
commit | 44ae46c70d0b9cb4909bfafe1e4dbef3cd90f5b9 (patch) | |
tree | 9c833c7eba8b72c3306218d2a86e3c184290dee4 /numpy/lib/benchmarks/bench_arraysetops.py | |
parent | f791984cf1d8aedaeaf4fa36db539744d88de051 (diff) | |
download | numpy-44ae46c70d0b9cb4909bfafe1e4dbef3cd90f5b9.tar.gz |
DEP: remove unique1d, setmember1d and intersect1d_nu.
Diffstat (limited to 'numpy/lib/benchmarks/bench_arraysetops.py')
-rw-r--r-- | numpy/lib/benchmarks/bench_arraysetops.py | 65 |
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 ) |