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profile.txt
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profile.txt
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Wed Apr 20 22:42:42 2016 restats
7305283 function calls (7196137 primitive calls) in 280.444 seconds
Ordered by: cumulative time
List reduced from 6426 to 100 due to restriction <100>
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.060 0.060 280.457 280.457 localricci.py:1(<module>)
1564 0.203 0.000 193.855 0.124 Ricci.py:47(coarseRicci)
7820 127.421 0.016 127.421 0.016 {method 'dot' of 'numpy.ndarray' objects}
1565 0.043 0.000 51.461 0.033 tools.py:229(sanitize)
3128 49.387 0.016 49.601 0.016 Ricci.py:9(add_AB_to_C)
1565 0.036 0.000 46.944 0.030 tools.py:166(metricize_fw)
1565 43.227 0.028 43.283 0.028 tools.py:137(floyd_warshall)
21899 37.895 0.002 38.616 0.002 necompiler.py:691(evaluate)
81 0.009 0.000 13.131 0.162 tools.py:46(graph)
1564 0.157 0.000 9.283 0.006 Laplacian.py:7(computeLaplaceMatrix)
81 0.002 0.000 8.865 0.109 pyplot.py:266(pause)
1564 0.034 0.000 7.763 0.005 Ricci.py:25(applyRicci)
81 0.092 0.001 7.755 0.096 {method 'draw' of '_macosx.FigureCanvas' objects}
6723/81 0.021 0.000 7.753 0.096 artist.py:59(draw_wrapper)
81 0.003 0.000 7.752 0.096 figure.py:1075(draw)
81 0.004 0.000 7.673 0.095 _base.py:2205(draw)
2725/2061 0.055 0.000 4.195 0.002 axis.py:67(__init__)
162 0.005 0.000 3.742 0.023 axis.py:1098(draw)
81 0.001 0.000 3.740 0.046 collections.py:812(draw)
81 0.003 0.000 3.735 0.046 collections.py:257(draw)
81 0.001 0.000 3.683 0.045 backend_macosx.py:66(draw_path_collection)
81 3.674 0.045 3.674 0.045 {method 'draw_path_collection' of '_macosx.GraphicsContext' objects}
83 0.013 0.000 3.328 0.040 _base.py:905(cla)
82 0.001 0.000 3.275 0.040 pyplot.py:3537(cla)
504 0.010 0.000 2.806 0.006 axis.py:711(cla)
8175 0.213 0.000 2.742 0.000 lines.py:252(__init__)
836/504 0.006 0.000 2.732 0.005 axis.py:749(reset_ticks)
82 0.000 0.000 2.373 0.029 pyplot.py:227(show)
82 0.001 0.000 2.372 0.029 backend_bases.py:148(__call__)
162 0.009 0.000 2.300 0.014 axis.py:941(_update_ticks)
1 0.000 0.000 2.212 2.212 backend_macosx.py:28(mainloop)
1 2.211 2.211 2.212 2.212 {matplotlib.backends._macosx.show}
1403/1071 0.008 0.000 2.195 0.002 axis.py:1670(_get_tick)
1539 0.005 0.000 2.178 0.001 axis.py:888(iter_ticks)
332 0.001 0.000 2.150 0.006 spines.py:166(cla)
164 0.005 0.000 2.124 0.013 axis.py:1287(get_major_ticks)
40154 0.202 0.000 2.023 0.000 markers.py:184(_recache)
1322/990 0.007 0.000 2.013 0.002 axis.py:1995(_get_tick)
1649 0.007 0.000 1.924 0.001 fromnumeric.py:1680(clip)
1649 1.917 0.001 1.917 0.001 {method 'clip' of 'numpy.ndarray' objects}
1891 1.496 0.001 1.496 0.001 {numpy.core.multiarray.copyto}
20077 0.088 0.000 1.238 0.000 markers.py:233(set_marker)
1215 0.013 0.000 1.215 0.001 axis.py:235(draw)
11902 0.018 0.000 1.140 0.000 markers.py:148(__init__)
11236/8244 0.031 0.000 1.052 0.000 spines.py:404(get_spine_transform)
11572/8244 0.006 0.000 1.023 0.000 spines.py:148(_ensure_position_is_set)
336 0.003 0.000 1.019 0.003 spines.py:359(set_position)
61915 1.015 0.000 1.015 0.000 {method 'reduce' of 'numpy.ufunc' objects}
20077 0.034 0.000 1.006 0.000 markers.py:208(set_fillstyle)
81 0.945 0.012 0.947 0.012 {method 'start_event_loop' of '_macosx.FigureCanvas' objects}
2430 0.087 0.000 0.855 0.000 lines.py:705(draw)
6540 0.007 0.000 0.830 0.000 _methods.py:25(_amax)
2409 0.008 0.000 0.829 0.000 {method 'max' of 'numpy.ndarray' objects}
1403/1237 0.012 0.000 0.798 0.001 axis.py:394(_get_tick1line)
45654 0.149 0.000 0.795 0.000 path.py:103(__init__)
1403/1237 0.011 0.000 0.738 0.001 axis.py:405(_get_tick2line)
1322/1156 0.011 0.000 0.728 0.001 axis.py:528(_get_tick1line)
1322/1156 0.011 0.000 0.699 0.001 axis.py:543(_get_tick2line)
82 0.001 0.000 0.699 0.009 __init__.py:1733(inner)
82 0.006 0.000 0.697 0.008 _axes.py:3710(scatter)
96880 0.147 0.000 0.676 0.000 transforms.py:86(__init__)
8175 0.015 0.000 0.630 0.000 lines.py:1056(set_marker)
77581 0.091 0.000 0.605 0.000 transforms.py:1640(__init__)
1215 0.009 0.000 0.556 0.000 axis.py:1251(_copy_tick_props)
8175 0.014 0.000 0.539 0.000 lines.py:484(set_fillstyle)
12795/5355 0.012 0.000 0.538 0.000 _base.py:632(get_xaxis_transform)
18355 0.071 0.000 0.536 0.000 transforms.py:1950(scale)
96885 0.379 0.000 0.529 0.000 weakref.py:47(__init__)
12066/4950 0.011 0.000 0.527 0.000 _base.py:709(get_yaxis_transform)
1 0.001 0.001 0.527 0.527 data.py:5(<module>)
45654 0.218 0.000 0.523 0.000 path.py:212(_update_values)
3645 0.021 0.000 0.496 0.000 lines.py:1212(update_from)
1403 0.015 0.000 0.459 0.000 axis.py:420(_get_gridline)
28559 0.056 0.000 0.448 0.000 transforms.py:1786(__init__)
1322 0.014 0.000 0.432 0.000 axis.py:557(_get_gridline)
1576 0.020 0.000 0.425 0.000 artist.py:657(set_clip_path)
166 0.002 0.000 0.417 0.003 axis.py:848(set_clip_path)
24085 0.051 0.000 0.404 0.000 transforms.py:127(invalidate)
302470/268765 0.233 0.000 0.380 0.000 artist.py:256(stale)
21913 0.328 0.000 0.369 0.000 necompiler.py:486(getContext)
82 0.002 0.000 0.363 0.004 _base.py:1662(add_collection)
29602/24085 0.119 0.000 0.354 0.000 transforms.py:138(_invalidate_internal)
2226 0.008 0.000 0.344 0.000 patches.py:192(get_transform)
664 0.002 0.000 0.334 0.001 axis.py:177(set_clip_path)
82 0.002 0.000 0.331 0.004 collections.py:183(get_datalim)
1782 0.051 0.000 0.311 0.000 text.py:734(draw)
1740 0.001 0.000 0.292 0.000 patches.py:671(get_patch_transform)
26 0.072 0.003 0.291 0.011 __init__.py:1(<module>)
1740 0.018 0.000 0.290 0.000 patches.py:655(_update_patch_transform)
145110 0.124 0.000 0.290 0.000 numeric.py:406(asarray)
197995 0.277 0.000 0.279 0.000 {numpy.core.multiarray.array}
8133 0.055 0.000 0.274 0.000 font_manager.py:656(__init__)
59561 0.229 0.000 0.266 0.000 cbook.py:696(is_string_like)
5155 0.086 0.000 0.264 0.000 lines.py:606(recache)
82 0.001 0.000 0.263 0.003 path.py:960(get_path_collection_extents)
82 0.214 0.003 0.259 0.003 {matplotlib._path.get_path_collection_extents}
3 0.002 0.001 0.253 0.084 __init__.py:5(<module>)
1403 0.011 0.000 0.245 0.000 axis.py:361(_get_text1)
1 0.002 0.002 0.243 0.243 tools.py:1(<module>)
1 0.000 0.000 0.242 0.242 decorators.py:156(wrapper)