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Development Tips : Profiler Output

S.Y. Lee edited this page Mar 4, 2019 · 1 revision

This page lists the results of running SymPy's unit tests with cProfile. It might be useful for eliminating bottlenecks.

With caching enabled

Total time

Total time (excluding subcalls), t > 1 shown.

20088743             50.955     0.000      50.957     0.000      {isinstance}
96807/94799          32.788     0.000      98.988     0.001      mul.py:8(flatten)
3447927/3447134      22.638     0.000      46.705     0.000      basic.py:193(sympify)
1055757/695354       20.587     0.000      57.501     0.000      basic_methods.py:394(compare)
593995               19.217     0.000      55.967     0.000      assumptions.py:179(assume)
4380253/4133305      16.076     0.000      21.712     0.000      basic_methods.py:277(__hash__)
6618919              14.897     0.000      14.897     0.000      basic_methods.py:215(__getattr__)
1654915/1443663      14.171     0.000      30.896     0.000      basic_methods.py:262(__getattr__)
982775/331303        12.947     0.000      335.521    0.001      basic_methods.py:111(wrapper)
857433/776697        12.812     0.000      40.272     0.000      basic.py:121(wrapper)
1984206              12.437     0.000      17.349     0.000      basic_methods.py:271(__setattr__)
1654915/1443663      11.740     0.000      18.251     0.000      assumptions.py:129(_get_assumption)
576328               8.638      0.000      72.016     0.000      basic.py:186(__new__)
373203               7.261      0.000      17.866     0.000      basic_methods.py:221(__cmp__)
21737/21736          7.255      0.000      49.021     0.002      add.py:10(flatten)
997815/988100        6.621      0.000      20.185     0.000      {getattr}
155931               6.454      0.000      11.864     0.000      decimal.py:516(__new__)
3331921/3331664      6.227      0.000      6.228      0.000      {len}
2469042/1732880      6.103      0.000      23.275     0.000      {cmp}
403005/403004        6.040      0.000      63.260     0.000      methods.py:115(__eq__)
416755               5.409      0.000      53.404     0.000      relational.py:17(__new__)
229385/212693        5.359      0.000      37.457     0.000      numbers.py:451(__mul__)
571224               5.234      0.000      7.564      0.000      assumptions.py:167(_change_assumption)
2032776              5.014      0.000      5.014      0.000      {method 'startswith' of 'str' objects}
403022               4.940      0.000      43.091     0.000      relational.py:54(__nonzero__)
124264/77110         3.802      0.000      23.620     0.000      basic.py:410(has)
106495/104838        3.746      0.000      15.388     0.000      numbers.py:464(__add__)
1897746              3.740      0.000      3.740      0.000      {method 'items' of 'dict' objects}
356515/297584        3.698      0.000      21.835     0.000      {map}
511471               3.644      0.000      10.042     0.000      float_.py:79(normalize)
1544693              3.515      0.000      4.041      0.000      {method 'has_key' of 'dict' objects}
142838/120750        3.314      0.000      164.623    0.001      operations.py:13(__new__)
359127               3.200      0.000      7.234      0.000      symbol.py:51(_hashable_content)
177702               3.191      0.000      5.842      0.000      power.py:213(as_base_exp)
1433307              3.033      0.000      3.494      0.000      {method 'get' of 'dict' objects}
1258409              2.932      0.000      2.932      0.000      {built-in method __new__ of type object at 0x1E1E6DD0}
508016               2.882      0.000      4.450      0.000      utils_.py:5(bitcount)
302941               2.854      0.000      3.718      0.000      basic.py:1287(__new__)
755007/678245        2.710      0.000      21.588     0.000      {method 'index' of 'list' objects}
153492/149676        2.652      0.000      23.578     0.000      methods.py:53(__pow__)
39183/19641          2.610      0.000      61.485     0.003      mul.py:298(_eval_expand_basic)
12057                2.588      0.000      7.042      0.001      decimal.py:1186(_divide)
656894               2.218      0.000      2.218      0.000      basic_methods.py:286(_hashable_content)
41033/26443          2.196      0.000      27.667     0.001      power.py:245(_eval_expand_basic)
331660               2.131      0.000      10.033     0.000      float_.py:108(makefloat)
84206/79679          2.118      0.000      67.146     0.001      methods.py:40(__mul__)
310460/97159         2.079      0.000      4.598      0.000      basic_methods.py:77(mycopy)
99612/81676          1.893      0.000      4.342      0.000      matrices.py:127(__getitem__)
65497                1.823      0.000      13.146     0.000      numbers.py:531(__eq__)
179018               1.806      0.000      5.630      0.000      float_.py:299(__new__)
488146/488145        1.775      0.000      3.538      0.000      {hasattr}
590324               1.746      0.000      1.746      0.000      {zip}
542421               1.672      0.000      1.672      0.000      basic.py:323(args)
529159               1.628      0.000      1.995      0.000      {math.log}
345377/345347        1.604      0.000      23.452     0.000      {method 'sort' of 'list' objects}
521416               1.544      0.000      1.544      0.000      power.py:64(base)
37314/36990          1.534      0.000      8.998      0.000      basic.py:530(matches)
8687/4664            1.473      0.000      125.643    0.027      order.py:83(__new__)
678952               1.441      0.000      1.441      0.000      {method 'pop' of 'list' objects}
57559/56108          1.399      0.000      40.121     0.001      methods.py:69(__div__)
120423               1.398      0.000      1.583      0.000      decimal.py:2875(__init__)
3829                 1.387      0.000      2.778      0.001      transformer.py:105(__init__)
41715/25859          1.378      0.000      4.536      0.000      simplify.py:122(separate)
131861               1.369      0.000      2.019      0.000      assumptions.py:302(_assume_hashable_content)
22055/19795          1.335      0.000      73.301     0.004      mul.py:461(_eval_subs)
666919               1.333      0.000      1.333      0.000      {method 'append' of 'list' objects}
416904               1.291      0.000      1.291      0.000      relational.py:28(lhs)
264409               1.256      0.000      1.256      0.000      float_.py:40(rshift)
97481/78950          1.215      0.000      86.530     0.001      basic_methods.py:90(wrapper)
642478               1.214      0.000      1.214      0.000      basic.py:105(<lambda>)
102135/21755         1.214      0.000      87.128     0.004      basic.py:379(subs)
23563/7407           1.207      0.000      57.416     0.008      operations.py:56(_matches_commutative)
416823               1.201      0.000      1.201      0.000      relational.py:32(rhs)
128894/39336         1.195      0.000      86.698     0.002      basic.py:733(expand)
152267/148341        1.162      0.000      6.756      0.000      float_.py:580(__mul__)
203748               1.147      0.000      1.147      0.000      base.py:163(__getattribute__)
129530/113341        1.147      0.000      5.221      0.000      float_.py:545(__add__)
6                    1.124      0.187      1.530      0.255      __init__.py:2(<module>)
160475               1.120      0.000      1.120      0.000      utils_.py:17(trailing_zeros)
90809/15329          1.068      0.000      14.958     0.001      basic.py:719(_eval_expand_trig)
144274               1.006      0.000      1.545      0.000      matrices.py:80(key2ij)

Cumulative time

Cumulative time (including subcalls), t > 10 shown.

1                    0.000      0.000      507.191    507.191    cmdline.py:7(main)
1                    0.000      0.000      507.067    507.067    session.py:55(main)
797/1                0.022      0.000      507.008    507.008    session.py:71(runtraced)
797/1                0.022      0.000      507.008    507.008    session.py:101(run)
652                  0.008      0.000      500.562    0.768      item.py:64(run)
652                  0.006      0.000      500.459    0.768      item.py:69(execute)
982775/331303        12.947     0.000      335.521    0.001      basic_methods.py:111(wrapper)
142838/120750        3.314      0.000      164.623    0.001      operations.py:13(__new__)
6844/686             0.411      0.000      157.411    0.229      basic.py:1088(oseries)
8687/4664            1.473      0.000      125.643    0.027      order.py:83(__new__)
48/47                0.142      0.003      113.397    2.413      risch.py:83(heurisch)
10602/6348           0.355      0.000      108.909    0.017      order.py:290(contains)
6146/165             0.031      0.000      105.287    0.638      limits.py:117(<lambda>)
1122/233             0.033      0.000      104.237    0.447      limits.py:393(mrv_leadterm)
96807/94799          32.788     0.000      98.988     0.001      mul.py:8(flatten)
1960/780             0.083      0.000      98.723     0.127      mul.py:480(_eval_oseries)
482/238              0.009      0.000      90.317     0.379      limits.py:305(limitinf)
102135/21755         1.214      0.000      87.128     0.004      basic.py:379(subs)
128894/39336         1.195      0.000      86.698     0.002      basic.py:733(expand)
97481/78950          1.215      0.000      86.530     0.001      basic_methods.py:90(wrapper)
9196/8484            0.313      0.000      83.328     0.010      order.py:192(_get_cache_index)
395                  0.021      0.000      81.985     0.208      limits.py:335(calculate_series)
51                   0.020      0.000      75.476     1.480      risch.py:269(integrate)
22055/19795          1.335      0.000      73.301     0.004      mul.py:461(_eval_subs)
576328               8.638      0.000      72.016     0.000      basic.py:186(__new__)
392/339              0.056      0.000      71.603     0.211      basic.py:1143(_compute_oseries)
1795                 0.090      0.000      68.094     0.038      simplify.py:994(simplify)
84206/79679          2.118      0.000      67.146     0.001      methods.py:40(__mul__)
78                   0.002      0.000      63.895     0.819      limits.py:476(limit)
1240/1008            0.060      0.000      63.456     0.063      power.py:432(_eval_oseries)
403005/403004        6.040      0.000      63.260     0.000      methods.py:115(__eq__)
39183/19641          2.610      0.000      61.485     0.003      mul.py:298(_eval_expand_basic)
4043/3340            0.053      0.000      59.574     0.018      basic.py:1176(limit)
1786/1385            0.150      0.000      59.077     0.043      limits_series.py:19(__new__)
7404                 0.073      0.000      57.681     0.008      basic.py:608(match)
1055757/695354       20.587     0.000      57.501     0.000      basic_methods.py:394(compare)
23563/7407           1.207      0.000      57.416     0.008      operations.py:56(_matches_commutative)
1165/1046            0.056      0.000      57.300     0.055      add.py:276(extract_leading_order)
79                   0.003      0.000      56.387     0.714      basic.py:1065(series)
593995               19.217     0.000      55.967     0.000      assumptions.py:179(assume)
1330/845             0.179      0.000      55.292     0.065      limits_series.py:83(__new__)
416755               5.409      0.000      53.404     0.000      relational.py:17(__new__)
9917/3438            0.250      0.000      52.353     0.015      basic.py:1187(as_leading_term)
687/360              0.095      0.000      51.650     0.143      limits_series.py:140(mrv_inflimit)
7056/6653            0.153      0.000      51.442     0.008      order.py:228(find_limit)
20088743             50.955     0.000      50.957     0.000      {isinstance}
21737/21736          7.255      0.000      49.021     0.002      add.py:10(flatten)
1142/892             0.026      0.000      48.658     0.055      add.py:273(_eval_oseries)
3447927/3447134      22.638     0.000      46.705     0.000      basic.py:193(sympify)
17666/9398           0.319      0.000      45.182     0.005      mul.py:332(matches)
403022               4.940      0.000      43.091     0.000      relational.py:54(__nonzero__)
1795                 0.174      0.000      42.998     0.024      simplify.py:786(radsimp)
163803/74959         0.887      0.000      40.535     0.001      basic.py:695(_eval_expand_basic)
512/461              0.041      0.000      40.477     0.088      add.py:295(_eval_as_leading_term)
857433/776697        12.812     0.000      40.272     0.000      basic.py:121(wrapper)
57559/56108          1.399      0.000      40.121     0.001      methods.py:69(__div__)
70                   0.036      0.001      39.180     0.560      solvers.py:19(solve)
9575                 0.264      0.000      38.333     0.004      base.py:104(__new__)
229385/212693        5.359      0.000      37.457     0.000      numbers.py:451(__mul__)
801                  0.107      0.000      37.236     0.046      div_.py:5(div)
4700/4256            0.246      0.000      36.171     0.008      add.py:256(_eval_subs)
223                  0.003      0.000      32.355     0.145      wrapper.py:9(div)
55                   0.001      0.000      31.578     0.574      pytest.py:80(func_wrapper)
1654915/1443663      14.171     0.000      30.896     0.000      basic_methods.py:262(__getattr__)
1                    0.000      0.000      30.812     30.812     test_recurr.py:18(test_rsolve_ratio)
1                    0.001      0.001      30.769     30.769     recurr.py:298(rsolve_ratio)
2898/194             0.068      0.000      30.109     0.155      limits.py:173(mrv)
196                  0.001      0.000      28.966     0.148      wrapper.py:23(quo)
41033/26443          2.196      0.000      27.667     0.001      power.py:245(_eval_expand_basic)
59                   0.160      0.003      27.557     0.467      solvers.py:114(solve_linear_system)
18                   0.001      0.000      25.789     1.433      quad.py:321(nintegrate)
17141/16510          0.725      0.000      25.574     0.002      power.py:198(_eval_subs)
56                   0.002      0.000      24.142     0.431      integrals.py:86(doit)
52                   0.001      0.000      24.117     0.464      integrals.py:234(integrate)
1372                 0.026      0.000      23.943     0.017      quad.py:52(__call__)
7584/6991            0.140      0.000      23.851     0.003      function.py:79(__new__)
1                    0.000      0.000      23.788     23.788     test_risch.py:76(test_heurisch_radicals)
60/58                0.004      0.000      23.759     0.410      integrals.py:120(_eval_integral)
124264/77110         3.802      0.000      23.620     0.000      basic.py:410(has)
153492/149676        2.652      0.000      23.578     0.000      methods.py:53(__pow__)
345377/345347        1.604      0.000      23.452     0.000      {method 'sort' of 'list' objects}
2469042/1732880      6.103      0.000      23.275     0.000      {cmp}
1365/13              0.029      0.000      22.874     1.760      quad.py:64(adaptive)
32975/9352           0.211      0.000      22.173     0.002      basic.py:1050(evalf)
1365                 0.018      0.000      22.146     0.016      quad.py:178(_eval)
2730                 0.348      0.000      22.031     0.008      quad.py:160(_eval)
356515/297584        3.698      0.000      21.835     0.000      {map}
401                  0.013      0.000      21.833     0.054      basic.py:484(subs_dict)
1                    0.001      0.001      21.816     21.816     test_geometry.py:249(test_polygon)
4380253/4133305      16.076     0.000      21.712     0.000      basic_methods.py:277(__hash__)
755007/678245        2.710      0.000      21.588     0.000      {method 'index' of 'list' objects}
29944                0.431      0.000      20.258     0.001      quad.py:48(g)
997815/988100        6.621      0.000      20.185     0.000      {getattr}
1                    0.000      0.000      19.998     19.998     test_risch.py:52(test_heurisch_trigonometric)
1654915/1443663      11.740     0.000      18.251     0.000      assumptions.py:129(_get_assumption)
1                    0.000      0.000      18.189     18.189     test_series.py:251(test_issue159)
1                    0.001      0.001      18.076     18.076     test_geometry.py:58(test_line)
373203               7.261      0.000      17.866     0.000      basic_methods.py:221(__cmp__)
3926                 0.169      0.000      17.642     0.004      basic.py:816(as_coefficient)
1984206              12.437     0.000      17.349     0.000      basic_methods.py:271(__setattr__)
53645                0.424      0.000      16.866     0.000      basic.py:374(_eval_subs)
6863/5137            0.122      0.000      16.032     0.003      basic.py:1039(_seq_eval_evalf)
21694/18717          0.650      0.000      15.774     0.001      power.py:51(__new__)
8839/8793            0.142      0.000      15.694     0.002      function.py:183(_eval_evalf)
106495/104838        3.746      0.000      15.388     0.000      numbers.py:464(__add__)
53/50                0.000      0.000      15.191     0.304      entity.py:21(do_intersection)
57/56                0.015      0.000      15.094     0.270      line.py:206(intersection)
75/69                0.002      0.000      15.081     0.219      limits.py:163(compare)
19881/19880          0.344      0.000      14.983     0.001      methods.py:20(__add__)
90809/15329          1.068      0.000      14.958     0.001      basic.py:719(_eval_expand_trig)
6618919              14.897     0.000      14.897     0.000      basic_methods.py:215(__getattr__)
1                    0.001      0.001      14.504     14.504     test_demidovich.py:90(test_f1b)
5271/5263            0.045      0.000      14.485     0.003      function.py:322(_eval_apply_evalf)
235                  0.007      0.000      14.413     0.061      point.py:197(__add__)
1                    0.000      0.000      14.014     14.014     test_quad.py:7(test_nintegrate)
92                   0.005      0.000      13.828     0.150      line.py:356(__contains__)
401/325              0.039      0.000      13.487     0.041      limits.py:227(rewrite)
65497                1.823      0.000      13.146     0.000      numbers.py:531(__eq__)
1989                 0.016      0.000      13.071     0.007      simplify.py:179(together)
401                  0.023      0.000      12.883     0.032      limits_series.py:301(rewrite_expr)
3439/2745            0.081      0.000      12.808     0.005      mul.py:275(_expandsums)
206                  0.002      0.000      12.755     0.062      point.py:211(__sub__)
1                    0.001      0.001      12.107     12.107     test_geometry.py:168(test_ellipse)
1                    0.000      0.000      12.069     12.069     test_limit.py:146(test_mrv_leadterm2)
155931               6.454      0.000      11.864     0.000      decimal.py:516(__new__)
18974                0.104      0.000      11.673     0.001      mul.py:311(<genexpr>)
1                    0.000      0.000      11.605     11.605     test_risch.py:95(test_issue510)
10046/953            0.283      0.000      11.351     0.012      function.py:401(__new__)
9669/904             0.335      0.000      11.265     0.012      basic.py:997(diff)
3059/2567            0.293      0.000      11.197     0.004      simplify.py:345(collect)
1                    0.000      0.000      10.841     10.841     test_demidovich.py:22(test_Limits_simple_0)
4017                 0.049      0.000      10.739     0.003      add.py:128(_matches_simple)
10370/1989           0.672      0.000      10.703     0.005      simplify.py:231(_together)
4479                 0.181      0.000      10.453     0.002      base.py:830(coefficients2sympy)
39322                0.538      0.000      10.222     0.000      methods.py:30(__sub__)
7390                 0.433      0.000      10.193     0.001      simplify.py:10(fraction)
1                    0.000      0.000      10.155     10.155     test_quad.py:19(test_nintegrate_infinite)
807                  0.039      0.000      10.096     0.013      basic.py:1206(as_coeff_exponent)
511471               3.644      0.000      10.042     0.000      float_.py:79(normalize)
331660               2.131      0.000      10.033     0.000      float_.py:108(makefloat)
17551/17550          0.322      0.000      10.016     0.001      methods.py:16(__neg__)

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