Skip to content

Instantly share code, notes, and snippets.

@cgdangelo

cgdangelo/feels.pstat

Created March 13, 2018 08:24
Show Gist options
  • Save cgdangelo/c0bd0487156b3b7ec523b834f844e894 to your computer and use it in GitHub Desktop.
Save cgdangelo/c0bd0487156b3b7ec523b834f844e894 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
feels.pstat
18092467 function calls (18074190 primitive calls) in 12.546 seconds
Ordered by: internal time
ncalls tottime percall cumtime percall filename:lineno(function)
153964 0.703 0.000 1.388 0.000 action.py:251(_speed)
832903 0.562 0.000 0.562 0.000 aura.py:119(remains)
1 0.543 0.543 12.544 12.544 simulator.py:215(run)
245845 0.474 0.000 1.523 0.000 bard.py:69(decide)
155307 0.416 0.000 0.923 0.000 error.py:6(__init__)
2025694 0.408 0.000 0.408 0.000 {built-in method math.floor}
730294 0.393 0.000 0.882 0.000 aura.py:108(up)
190322 0.384 0.000 3.684 0.000 action.py:67(perform)
154034 0.326 0.000 0.938 0.000 simulator.py:179(schedule)
1242197 0.285 0.000 0.416 0.000 enum.py:579(__hash__)
26118 0.271 0.000 0.974 0.000 event.py:338(damage)
1444384 0.260 0.000 0.260 0.000 event.py:30(__lt__)
44705 0.253 0.000 6.136 0.000 event.py:144(execute)
152997 0.250 0.000 0.412 0.000 {built-in method _heapq.heappop}
328159 0.225 0.000 0.225 0.000 {method 'format' of 'str' objects}
333716 0.222 0.000 0.222 0.000 {built-in method builtins.format}
19212 0.205 0.000 0.719 0.000 event.py:463(damage)
654721 0.199 0.000 0.199 0.000 {method 'total_seconds' of 'datetime.timedelta' objects}
45530 0.196 0.000 0.272 0.000 common_math.py:154(get_base_stats_by_job)
139963 0.194 0.000 0.194 0.000 {method 'uniform' of 'mtrand.RandomState' objects}
154034 0.172 0.000 0.270 0.000 {built-in method _heapq.heappush}
333724 0.159 0.000 0.236 0.000 __init__.py:1542(isEnabledFor)
132447 0.149 0.000 0.219 0.000 event.py:278(critical_hit_chance)
135990 0.145 0.000 0.215 0.000 event.py:308(direct_hit_chance)
4291 0.136 0.000 0.136 0.000 {built-in method numpy.core.multiarray.concatenate}
190322 0.135 0.000 4.047 0.000 bard.py:156(perform)
1242653 0.131 0.000 0.131 0.000 {built-in method builtins.hash}
333718 0.128 0.000 0.363 0.000 __init__.py:1284(debug)
400191 0.125 0.000 0.125 0.000 action.py:218(on_cooldown)
19212 0.114 0.000 1.044 0.000 event.py:438(execute)
2223 0.108 0.000 0.108 0.000 {pandas._libs.lib.isnaobj}
521442 0.105 0.000 0.187 0.000 {built-in method builtins.isinstance}
1399 0.104 0.000 0.210 0.000 internals.py:4858(_merge_blocks)
153964 0.104 0.000 0.307 0.000 bard.py:173(type_ii_speed_mod)
209869 0.098 0.000 0.155 0.000 action.py:222(cooldown_remains)
34689 0.093 0.000 0.146 0.000 event.py:552(execute)
109071 0.090 0.000 0.354 0.000 event.py:291(is_critical_hit)
107464 0.082 0.000 0.340 0.000 bard.py:138(song)
27159 0.079 0.000 0.721 0.000 action.py:158(schedule_damage_event)
38608 0.078 0.000 0.093 0.000 action.py:318(base_recast_time)
163961 0.077 0.000 0.223 0.000 actor.py:368(__str__)
333724 0.076 0.000 0.076 0.000 __init__.py:1528(getEffectiveLevel)
94937 0.069 0.000 0.983 0.000 action.py:134(animation_execute_time)
90660 0.069 0.000 0.328 0.000 event.py:321(is_direct_hit)
9900 0.065 0.000 0.225 0.000 event.py:577(execute)
104048 0.063 0.000 0.959 0.000 action.py:226(cast_time)
3132 0.063 0.000 0.063 0.000 {pandas._libs.lib.maybe_convert_objects}
163427 0.061 0.000 0.137 0.000 action.py:299(__str__)
1992 0.061 0.000 0.061 0.000 {pandas._libs.algos.take_2d_axis0_object_object}
26118 0.061 0.000 1.050 0.000 event.py:266(execute)
34102 0.060 0.000 0.239 0.000 action.py:233(recast_time)
45999 0.059 0.000 0.077 0.000 event.py:234(__init__)
154034 0.058 0.000 0.058 0.000 event.py:20(__init__)
11210 0.058 0.000 0.058 0.000 {built-in method numpy.core.multiarray.empty}
232321/231921 0.050 0.000 0.051 0.000 actor.py:164(target_data)
308547/291517 0.048 0.000 0.060 0.000 {built-in method builtins.len}
40942 0.047 0.000 1.181 0.000 action.py:309(perform)
113434/113380 0.047 0.000 0.047 0.000 {built-in method builtins.getattr}
149074 0.046 0.000 0.047 0.000 {built-in method builtins.max}
26537 0.045 0.000 0.117 0.000 bard.py:193(_buff_multipliers)
26133 0.045 0.000 0.273 0.000 action.py:240(gcd)
101766 0.043 0.000 0.043 0.000 {built-in method builtins.hasattr}
1623 0.041 0.000 0.043 0.000 generic.py:3616(__setattr__)
90377 0.040 0.000 0.046 0.000 frame.py:6400(<genexpr>)
307279 0.039 0.000 0.039 0.000 {built-in method builtins.abs}
153964 0.039 0.000 0.039 0.000 {built-in method math.ceil}
2037 0.038 0.000 0.080 0.000 internals.py:3114(_rebuild_blknos_and_blklocs)
26537 0.037 0.000 0.042 0.000 bard.py:181(_trait_multipliers)
65046 0.035 0.000 0.069 0.000 dtypes.py:85(is_dtype)
19212 0.035 0.000 1.186 0.000 bard.py:228(execute)
45554 0.033 0.000 0.575 0.000 bard.py:664(perform)
10718 0.033 0.000 0.033 0.000 {method 'reduce' of 'numpy.ufunc' objects}
44924 0.032 0.000 0.049 0.000 event.py:133(__init__)
96401 0.030 0.000 0.072 0.000 generic.py:7(_check)
603 0.030 0.000 0.873 0.001 internals.py:5170(concatenate_block_managers)
38213/38186 0.029 0.000 0.047 0.000 common.py:1773(_get_dtype_type)
34717 0.028 0.000 0.041 0.000 event.py:545(__init__)
2684/2168 0.028 0.000 0.129 0.000 base.py:181(__new__)
3444 0.025 0.000 0.247 0.000 algorithms.py:1287(take_nd)
26361 0.023 0.000 0.184 0.000 action.py:143(schedule_resource_consumption)
1005 0.022 0.000 0.054 0.000 internals.py:5345(get_mgr_concatenation_plan)
19839 0.022 0.000 0.058 0.000 event.py:426(__init__)
25 0.022 0.001 0.022 0.001 {method 'get_labels' of 'pandas._libs.hashtable.StringHashTable' objects}
8654 0.021 0.000 0.041 0.000 error.py:21(__init__)
27531 0.020 0.000 0.023 0.000 action.py:173(set_recast_at)
26561 0.020 0.000 0.047 0.000 simulator.py:310(relative_timestamp)
551 0.020 0.000 0.020 0.000 {method 'copy' of 'numpy.ndarray' objects}
400 0.020 0.000 0.020 0.000 {pandas._libs.lib.dicts_to_array}
5611 0.020 0.000 0.087 0.000 internals.py:2921(make_block)
1993 0.019 0.000 0.077 0.000 internals.py:5230(get_empty_dtype_and_na)
90377 0.018 0.000 0.028 0.000 frame.py:6401(<genexpr>)
25383 0.018 0.000 0.281 0.000 bard.py:660(recast_time)
6206 0.017 0.000 0.152 0.000 action.py:193(schedule_aura_events)
20842/20841 0.017 0.000 0.017 0.000 {built-in method numpy.core.multiarray.array}
5545 0.017 0.000 0.136 0.000 cast.py:935(maybe_cast_to_datetime)
123915 0.017 0.000 0.017 0.000 {method 'append' of 'list' objects}
3237 0.017 0.000 0.161 0.000 missing.py:123(_isna_ndarraylike)
607 0.016 0.000 0.151 0.000 internals.py:4645(form_blocks)
19735 0.016 0.000 0.888 0.000 bard.py:257(perform)
400 0.016 0.000 0.062 0.000 {pandas._libs.lib.fast_unique_multiple_list_gen}
99 0.016 0.000 0.016 0.000 {built-in method pandas._libs.tslib.array_to_timedelta64}
22164 0.015 0.000 0.214 0.000 bard.py:308(perform)
19085 0.015 0.000 0.068 0.000 event.py:459(create_tick_event)
2331 0.015 0.000 0.017 0.000 {pandas._libs.lib.infer_dtype}
5332 0.015 0.000 0.106 0.000 cast.py:838(maybe_infer_to_datetimelike)
2803 0.014 0.000 0.052 0.000 event.py:180(execute)
36854 0.014 0.000 0.014 0.000 {built-in method builtins.min}
103595 0.013 0.000 0.013 0.000 {built-in method builtins.issubclass}
4872 0.013 0.000 0.206 0.000 internals.py:5550(is_na)
599 0.013 0.000 0.013 0.000 {pandas._libs.algos.take_2d_axis0_int64_int64}
400 0.013 0.000 0.013 0.000 {built-in method pandas._libs.tslib.array_to_datetime}
20733 0.013 0.000 0.013 0.000 simulator.py:86(in_execute)
3801 0.012 0.000 0.020 0.000 internals.py:5424(combine_concat_plans)
31290 0.012 0.000 0.012 0.000 bard.py:558(up)
3184 0.012 0.000 0.022 0.000 internals.py:5530(needs_filling)
3412 0.012 0.000 0.048 0.000 cast.py:252(maybe_promote)
400 0.012 0.000 0.012 0.000 frame.py:6406(<listcomp>)
1894 0.011 0.000 0.056 0.000 concat.py:25(get_dtype_kinds)
24337 0.011 0.000 0.075 0.000 common.py:223(is_datetimetz)
14652 0.011 0.000 0.017 0.000 event.py:75(__init__)
27630 0.011 0.000 0.039 0.000 common.py:478(is_categorical_dtype)
27031 0.010 0.000 0.040 0.000 common.py:334(is_datetime64tz_dtype)
5611 0.010 0.000 0.042 0.000 internals.py:107(__init__)
3642 0.010 0.000 0.046 0.000 bard.py:212(execute)
3284 0.010 0.000 0.256 0.000 internals.py:5579(get_reindexed_values)
4501 0.009 0.000 0.042 0.000 {built-in method builtins.any}
600 0.009 0.000 0.461 0.001 concat.py:221(__init__)
9601 0.009 0.000 0.009 0.000 {built-in method numpy.core.multiarray.arange}
3188 0.009 0.000 0.113 0.000 series.py:3136(_sanitize_array)
8435 0.009 0.000 0.017 0.000 dtypes.py:678(is_dtype)
6710 0.009 0.000 0.026 0.000 internals.py:3058(shape)
2112 0.009 0.000 0.017 0.000 numeric.py:621(require)
3899 0.008 0.000 0.008 0.000 {built-in method pandas._libs.lib.infer_datetimelike_array}
1307 0.008 0.000 0.020 0.000 internals.py:4801(_stack_arrays)
200 0.008 0.000 0.014 0.000 actor.py:254(apply_gear_attribute_bonuses)
1633 0.008 0.000 0.115 0.000 internals.py:3017(__init__)
200 0.008 0.000 0.036 0.000 actor.py:113(arise)
4697 0.008 0.000 0.016 0.000 simulator.py:112(unschedule)
599 0.007 0.000 0.007 0.000 {pandas._libs.algos.take_2d_axis0_bool_bool}
2687 0.007 0.000 0.206 0.000 internals.py:5221(<listcomp>)
15098 0.007 0.000 0.029 0.000 common.py:85(is_object_dtype)
7129 0.007 0.000 0.008 0.000 internals.py:311(ftype)
5625 0.007 0.000 0.024 0.000 internals.py:226(mgr_locs)
22114 0.007 0.000 0.025 0.000 <frozen importlib._bootstrap>:997(_handle_fromlist)
1618 0.007 0.000 0.025 0.000 internals.py:3239(_verify_integrity)
9888 0.007 0.000 0.007 0.000 bard.py:396(name)
9699 0.007 0.000 0.007 0.000 bard.py:337(name)
3781 0.007 0.000 0.014 0.000 event.py:100(execute)
606 0.007 0.000 0.009 0.000 {pandas._libs.lib.clean_index_list}
176 0.007 0.000 0.007 0.000 {method 'acquire' of '_thread.lock' objects}
2787 0.007 0.000 0.218 0.000 internals.py:5210(is_uniform_join_units)
3501 0.006 0.000 0.180 0.000 missing.py:51(_isna_new)
1400 0.006 0.000 0.025 0.000 bard.py:524(execute)
610 0.006 0.000 0.036 0.000 frame.py:6176(extract_index)
89984 0.006 0.000 0.006 0.000 {method 'keys' of 'dict' objects}
600 0.006 0.000 0.907 0.002 concat.py:365(get_result)
1992 0.006 0.000 0.006 0.000 {built-in method pandas._libs.lib.is_bool_array}
2213 0.006 0.000 0.021 0.000 internals.py:2076(__init__)
9541 0.006 0.000 0.010 0.000 abc.py:178(__instancecheck__)
8342 0.006 0.000 0.012 0.000 common.py:1722(_get_dtype)
4716 0.006 0.000 0.012 0.000 dtypes.py:556(is_dtype)
121 0.006 0.000 0.006 0.000 {built-in method nt.stat}
1615 0.005 0.000 0.025 0.000 missing.py:255(array_equivalent)
1993 0.005 0.000 0.423 0.000 internals.py:5320(concatenate_join_units)
2081 0.005 0.000 0.016 0.000 common.py:375(_asarray_tuplesafe)
2287 0.005 0.000 0.010 0.000 base.py:396(_simple_new)
16633/16631 0.005 0.000 0.007 0.000 base.py:557(__len__)
9922 0.005 0.000 0.005 0.000 {method 'ravel' of 'numpy.ndarray' objects}
8621 0.005 0.000 0.005 0.000 {built-in method pandas._libs.lib.isscalar}
26537 0.005 0.000 0.005 0.000 action.py:295(_trait_multipliers)
9275 0.005 0.000 0.005 0.000 {method 'view' of 'numpy.ndarray' objects}
31893 0.005 0.000 0.005 0.000 internals.py:189(mgr_locs)
6088 0.005 0.000 0.007 0.000 internals.py:4990(_get_blkno_placements)
9597 0.005 0.000 0.030 0.000 common.py:191(is_categorical)
9653 0.005 0.000 0.005 0.000 _weakrefset.py:70(__contains__)
607 0.005 0.000 0.089 0.000 frame.py:6452(_homogenize)
20130 0.005 0.000 0.018 0.000 internals.py:3060(<genexpr>)
2144 0.005 0.000 0.048 0.000 base.py:2021(equals)
6584 0.005 0.000 0.005 0.000 aura.py:63(apply)
6829 0.005 0.000 0.013 0.000 common.py:297(is_datetime64_dtype)
4489 0.004 0.000 0.004 0.000 {built-in method pandas._libs.algos.ensure_int64}
6507 0.004 0.000 0.057 0.000 base.py:4155(_ensure_index)
2116 0.004 0.000 0.191 0.000 bard.py:463(perform)
3444 0.004 0.000 0.006 0.000 algorithms.py:1254(_get_take_nd_function)
6750 0.004 0.000 0.026 0.000 {method 'any' of 'numpy.ndarray' objects}
600 0.004 0.000 0.654 0.001 frame.py:1062(from_records)
1291 0.004 0.000 0.082 0.000 concat.py:102(_concat_compat)
4542 0.004 0.000 0.024 0.000 common.py:511(is_string_dtype)
90 0.004 0.000 0.004 0.000 socket.py:333(send)
3089 0.004 0.000 0.069 0.000 series.py:3153(_try_cast)
6733 0.004 0.000 0.012 0.000 common.py:372(is_timedelta64_dtype)
798 0.004 0.000 0.004 0.000 internals.py:4872(<listcomp>)
1229 0.004 0.000 0.012 0.000 frame.py:316(__init__)
7022 0.004 0.000 0.009 0.000 base.py:588(values)
8435 0.004 0.000 0.021 0.000 common.py:442(is_interval_dtype)
2661 0.004 0.000 0.156 0.000 bard.py:497(perform)
400 0.004 0.000 0.270 0.001 frame.py:6398(_list_of_dict_to_arrays)
6177 0.004 0.000 0.005 0.000 aura.py:91(expire)
5275 0.004 0.000 0.006 0.000 range.py:469(__len__)
9118 0.004 0.000 0.019 0.000 inference.py:234(is_list_like)
3000 0.004 0.000 0.135 0.000 frame.py:6423(convert)
401 0.004 0.000 0.224 0.001 internals.py:4841(_consolidate)
26537 0.004 0.000 0.004 0.000 action.py:291(_buff_multipliers)
1633 0.004 0.000 0.015 0.000 internals.py:3532(_consolidate_check)
612 0.004 0.000 0.004 0.000 {built-in method pandas._libs.lib.list_to_object_array}
1922 0.004 0.000 0.008 0.000 event.py:116(execute)
2979 0.003 0.000 0.009 0.000 aura.py:190(ticks)
8726 0.003 0.000 0.006 0.000 internals.py:3241(<genexpr>)
2815 0.003 0.000 0.006 0.000 event.py:175(__init__)
1305 0.003 0.000 0.003 0.000 {built-in method pandas._libs.lib.array_equivalent_object}
598 0.003 0.000 0.054 0.000 concat.py:470(_concat_index_asobject)
2610 0.003 0.000 0.003 0.000 bard.py:387(duration)
15948 0.003 0.000 0.003 0.000 internals.py:307(dtype)
2596 0.003 0.000 0.003 0.000 bard.py:328(duration)
3276 0.003 0.000 0.018 0.000 common.py:1545(is_bool_dtype)
1452 0.003 0.000 0.010 0.000 event.py:219(execute)
119 0.003 0.000 0.003 0.000 nanops.py:266(_wrap_results)
6757 0.003 0.000 0.021 0.000 _methods.py:37(_any)
3184 0.003 0.000 0.027 0.000 internals.py:5539(dtype)
29 0.003 0.000 0.003 0.000 {built-in method pandas._libs.algos.ensure_float64}
2519 0.003 0.000 0.201 0.000 bard.py:289(perform)
200 0.003 0.000 0.007 0.000 actor.py:332(calculate_base_stats)
104 0.003 0.000 0.003 0.000 {method 'take' of 'numpy.ndarray' objects}
2225 0.003 0.000 0.011 0.000 aura.py:185(apply)
10620 0.003 0.000 0.004 0.000 internals.py:3062(ndim)
5192 0.003 0.000 0.004 0.000 internals.py:122(_consolidate_key)
8028 0.003 0.000 0.010 0.000 numeric.py:424(asarray)
2787 0.003 0.000 0.003 0.000 internals.py:5219(<listcomp>)
3642 0.003 0.000 0.005 0.000 bard.py:207(__init__)
1992 0.003 0.000 0.009 0.000 internals.py:2084(is_bool)
9047 0.003 0.000 0.022 0.000 common.py:118(is_sparse)
6681 0.003 0.000 0.003 0.000 {method 'get' of 'dict' objects}
3197 0.003 0.000 0.003 0.000 base.py:1726(__getitem__)
1500 0.003 0.000 0.003 0.000 generic.py:120(__init__)
22 0.003 0.000 0.003 0.000 {pandas._libs.groupby.group_add_float64}
1993 0.003 0.000 0.259 0.000 internals.py:5330(<listcomp>)
798 0.003 0.000 0.075 0.000 internals.py:4911(_vstack)
3294 0.003 0.000 0.004 0.000 <frozen importlib._bootstrap>:416(parent)
3088 0.003 0.000 0.003 0.000 cast.py:826(maybe_castable)
600 0.003 0.000 0.122 0.000 concat.py:422(_get_new_axes)
4716 0.003 0.000 0.014 0.000 common.py:409(is_period_dtype)
832 0.003 0.000 0.003 0.000 {method 'argsort' of 'numpy.ndarray' objects}
600 0.002 0.000 1.374 0.002 frame.py:5073(append)
4768 0.002 0.000 0.002 0.000 {built-in method builtins.next}
1995 0.002 0.000 0.004 0.000 shape_base.py:63(atleast_2d)
999 0.002 0.000 0.009 0.000 internals.py:2468(__init__)
27 0.002 0.000 0.006 0.000 sorting.py:384(safe_sort)
1309 0.002 0.000 0.003 0.000 base.py:733(_get_attributes_dict)
1633 0.002 0.000 0.011 0.000 internals.py:3533(<listcomp>)
10596 0.002 0.000 0.002 0.000 bard.py:368(shares_recast_with)
4203 0.002 0.000 0.002 0.000 {method 'fill' of 'numpy.ndarray' objects}
1462 0.002 0.000 0.085 0.000 bard.py:629(perform)
5283 0.002 0.000 0.002 0.000 internals.py:5518(__init__)
600 0.002 0.000 1.370 0.002 concat.py:21(concat)
607 0.002 0.000 0.192 0.000 internals.py:4634(create_block_manager_from_arrays)
4224 0.002 0.000 0.003 0.000 numeric.py:692(<genexpr>)
603 0.002 0.000 0.076 0.000 base.py:1760(append)
2824 0.002 0.000 0.008 0.000 {built-in method builtins.sum}
2806 0.002 0.000 0.003 0.000 __init__.py:200(iteritems)
407 0.002 0.000 0.018 0.000 internals.py:4769(_multi_blockify)
600 0.002 0.000 0.274 0.000 frame.py:6262(_to_arrays)
3411 0.002 0.000 0.015 0.000 {method 'all' of 'numpy.ndarray' objects}
223 0.002 0.000 0.002 0.000 {pandas._libs.algos.take_1d_int64_int64}
786 0.002 0.000 0.003 0.000 format.py:2311(just)
607 0.002 0.000 0.319 0.001 frame.py:6156(_arrays_to_mgr)
999 0.002 0.000 0.004 0.000 bard.py:273(expire)
1307 0.002 0.000 0.010 0.000 internals.py:218(make_block_same_class)
1253 0.002 0.000 0.004 0.000 dtypes.py:372(__new__)
10 0.002 0.000 0.002 0.000 sorting.py:55(loop)
2446 0.002 0.000 0.021 0.000 common.py:1596(is_extension_type)
271 0.002 0.000 0.042 0.000 series.py:155(__init__)
3013 0.002 0.000 0.007 0.000 internals.py:4804(_asarray_compat)
2110 0.002 0.000 0.043 0.000 bard.py:514(perform)
5192 0.002 0.000 0.006 0.000 internals.py:4847(<lambda>)
454 0.002 0.000 0.016 0.000 bard.py:568(perform)
1255 0.002 0.000 0.318 0.000 generic.py:3661(_protect_consolidate)
377 0.002 0.000 0.031 0.000 bard.py:164(schedule_dot)
2722 0.002 0.000 0.002 0.000 {method 'reshape' of 'numpy.ndarray' objects}
3353 0.002 0.000 0.006 0.000 {pandas._libs.lib.values_from_object}
408 0.002 0.000 0.005 0.000 {built-in method builtins.sorted}
4768 0.002 0.000 0.004 0.000 internals.py:5449(_next_or_none)
794 0.002 0.000 0.031 0.000 internals.py:318(concat_same_type)
609 0.002 0.000 0.007 0.000 numeric.py:35(__new__)
2272 0.002 0.000 0.003 0.000 common.py:824(is_signed_integer_dtype)
13542 0.002 0.000 0.002 0.000 event.py:43(execute)
1633 0.002 0.000 0.004 0.000 internals.py:3018(<listcomp>)
1255 0.002 0.000 0.315 0.000 generic.py:3674(f)
510 0.002 0.000 0.006 0.000 range.py:56(__new__)
1452 0.002 0.000 0.004 0.000 event.py:214(__init__)
1253 0.002 0.000 0.005 0.000 dtypes.py:430(construct_from_string)
1407 0.002 0.000 0.002 0.000 generic.py:346(_get_axis_number)
377 0.002 0.000 0.021 0.000 action.py:206(schedule_dot)
3184 0.002 0.000 0.002 0.000 internals.py:169(get_values)
510 0.002 0.000 0.003 0.000 range.py:119(_simple_new)
2012 0.002 0.000 0.002 0.000 bard.py:634(potency)
7108 0.002 0.000 0.002 0.000 internals.py:299(shape)
9828 0.002 0.000 0.002 0.000 {method 'items' of 'dict' objects}
9016 0.002 0.000 0.002 0.000 {built-in method builtins.all}
1099 0.002 0.000 0.003 0.000 bard.py:268(apply)
1 0.002 0.002 0.002 0.002 {pandas._libs.lib.scalar_compare}
1005 0.002 0.000 0.002 0.000 {pandas._libs.lib.get_blkno_indexers}
598 0.002 0.000 0.029 0.000 base.py:441(_shallow_copy_with_infer)
838 0.002 0.000 0.004 0.000 numeric.py:2460(seterr)
3501 0.002 0.000 0.182 0.000 missing.py:26(isna)
29 0.002 0.000 0.043 0.001 groupby.py:2185(_cython_operation)
265 0.002 0.000 0.002 0.000 {built-in method pandas._libs.algos.ensure_platform_int}
2869 0.002 0.000 0.003 0.000 common.py:1493(is_float_dtype)
6178 0.002 0.000 0.002 0.000 {method 'remove' of 'list' objects}
900 0.002 0.000 0.003 0.000 bard.py:414(expire)
1043 0.002 0.000 0.243 0.000 internals.py:3829(_consolidate_inplace)
1900 0.001 0.000 0.082 0.000 bard.py:425(perform)
100 0.001 0.000 0.003 0.000 bard.py:19(create_actions)
1200 0.001 0.000 0.319 0.000 generic.py:3679(_consolidate)
2197 0.001 0.000 0.011 0.000 common.py:1009(is_datetime64_any_dtype)
1253 0.001 0.000 0.001 0.000 {method 'search' of '_sre.SRE_Pattern' objects}
3948 0.001 0.000 0.001 0.000 {method 'startswith' of 'str' objects}
2903 0.001 0.000 0.001 0.000 base.py:551(_reset_identity)
1000 0.001 0.000 0.004 0.000 bard.py:478(potency)
4 0.001 0.000 0.001 0.000 {method 'get_labels_groupby' of 'pandas._libs.hashtable.Int64HashTable' objects}
1770 0.001 0.000 0.001 0.000 dtypes.py:269(construct_from_string)
900 0.001 0.000 0.035 0.000 internals.py:4755(_simple_blockify)
600 0.001 0.000 0.079 0.000 concat.py:456(_get_concat_axis)
6681 0.001 0.000 0.001 0.000 {built-in method pandas._libs.algos.ensure_object}
406 0.001 0.000 0.030 0.000 api.py:61(_union_indexes)
1400 0.001 0.000 0.003 0.000 bard.py:521(__init__)
838 0.001 0.000 0.001 0.000 numeric.py:2560(geterr)
600 0.001 0.000 0.002 0.000 common.py:655(_get_distinct_objs)
603 0.001 0.000 0.073 0.000 base.py:1789(_concat)
500 0.001 0.000 0.008 0.000 common.py:207(_default_index)
3411 0.001 0.000 0.013 0.000 _methods.py:40(_all)
600 0.001 0.000 0.040 0.000 concat.py:446(_get_comb_axis)
1222 0.001 0.000 0.002 0.000 generic.py:162(_init_mgr)
600 0.001 0.000 0.033 0.000 api.py:45(_get_combined_index)
200 0.001 0.000 0.002 0.000 function_base.py:1851(diff)
1417 0.001 0.000 0.002 0.000 internals.py:4885(_extend_blocks)
2576 0.001 0.000 0.002 0.000 generic.py:440(ndim)
3440 0.001 0.000 0.001 0.000 {method 'rpartition' of 'str' objects}
600 0.001 0.000 0.005 0.000 concat.py:292(<listcomp>)
2165 0.001 0.000 0.002 0.000 base.py:531(is_)
2226 0.001 0.000 0.002 0.000 common.py:1456(is_string_like_dtype)
3243 0.001 0.000 0.002 0.000 format.py:295(len)
1122 0.001 0.000 0.002 0.000 common.py:1412(is_numeric_dtype)
1255 0.001 0.000 0.273 0.000 internals.py:3813(consolidate)
2305 0.001 0.000 0.006 0.000 base.py:762(_values)
3230 0.001 0.000 0.004 0.000 base.py:593(get_values)
1000 0.001 0.000 0.046 0.000 bard.py:617(perform)
1200 0.001 0.000 0.004 0.000 frame.py:543(shape)
1 0.001 0.001 0.001 0.001 {built-in method builtins.compile}
2687 0.001 0.000 0.001 0.000 internals.py:5223(<listcomp>)
6 0.001 0.000 0.052 0.009 {method 'get_result' of 'pandas._libs.lib.SeriesGrouper' objects}
200 0.001 0.000 0.003 0.000 actor.py:143(calculate_resources)
18 0.001 0.000 0.050 0.003 reporting.py:39(pct_total)
6 0.001 0.000 0.001 0.000 {pandas._libs.algos.groupsort_indexer}
400 0.001 0.000 0.136 0.000 frame.py:6429(<listcomp>)
1212 0.001 0.000 0.002 0.000 generic.py:359(_get_axis_name)
121 0.001 0.000 0.008 0.000 <frozen importlib._bootstrap_external>:1233(find_spec)
1291 0.001 0.000 0.002 0.000 concat.py:127(<listcomp>)
7 0.001 0.000 0.001 0.000 {pandas._libs.groupby.group_mean_float64}
200 0.001 0.000 0.001 0.000 internals.py:5487(trim_join_unit)
401 0.001 0.000 0.001 0.000 numerictypes.py:1013(<listcomp>)
265 0.001 0.000 0.001 0.000 base.py:1692(__contains__)
2582 0.001 0.000 0.002 0.000 concat.py:138(<genexpr>)
600 0.001 0.000 0.005 0.000 generic.py:334(_from_axes)
1162 0.001 0.000 0.004 0.000 common.py:1136(is_datetime_or_timedelta_dtype)
2909 0.001 0.000 0.001 0.000 {built-in method __new__ of type object at 0x627427B8}
2582 0.001 0.000 0.001 0.000 concat.py:121(is_nonempty)
110 0.001 0.000 0.002 0.000 base.py:1315(is_unique)
401 0.001 0.000 0.002 0.000 numerictypes.py:962(find_common_type)
798 0.001 0.000 0.072 0.000 shape_base.py:182(vstack)
536 0.001 0.000 0.001 0.000 {method 'astype' of 'numpy.ndarray' objects}
405 0.001 0.000 0.001 0.000 api.py:103(_sanitize_and_check)
5805 0.001 0.000 0.001 0.000 {method 'add' of 'set' objects}
120 0.001 0.000 0.020 0.000 series.py:2560(_reduce)
798 0.001 0.000 0.005 0.000 shape_base.py:234(<listcomp>)
106 0.001 0.000 0.001 0.000 {method 'get_indexer' of 'pandas._libs.index.IndexEngine' objects}
1665 0.001 0.000 0.002 0.000 common.py:873(is_unsigned_integer_dtype)
12 0.001 0.000 0.001 0.000 {method 'writelines' of '_io._IOBase' objects}
621 0.001 0.000 0.002 0.000 config.py:78(_get_single_key)
603 0.001 0.000 0.055 0.000 internals.py:5183(<listcomp>)
798 0.001 0.000 0.004 0.000 fromnumeric.py:851(argsort)
2524 0.001 0.000 0.002 0.000 numeric.py:495(asanyarray)
600 0.001 0.000 0.038 0.000 api.py:35(_get_objs_combined_axis)
198/99 0.001 0.000 0.021 0.000 timedeltas.py:158(_convert_listlike)
6 0.001 0.000 0.073 0.012 groupby.py:2355(agg_series)
1205 0.001 0.000 0.001 0.000 bard.py:379(name)
120 0.001 0.000 0.016 0.000 nanops.py:69(_f)
1255 0.001 0.000 0.319 0.000 generic.py:3671(_consolidate_inplace)
1900 0.001 0.000 0.001 0.000 action.py:51(__init__)
5146 0.001 0.000 0.001 0.000 {method 'copy' of 'dict' objects}
1015 0.001 0.000 0.001 0.000 range.py:72(_ensure_int)
908 0.001 0.000 0.001 0.000 internals.py:3102(_is_single_block)
1206 0.001 0.000 0.003 0.000 generic.py:372(_get_axis)
119 0.001 0.000 0.006 0.000 nanops.py:202(_get_values)
600 0.001 0.000 0.077 0.000 concat.py:512(_concat_indexes)
1197 0.001 0.000 0.001 0.000 bard.py:320(name)
36 0.001 0.000 0.005 0.000 format.py:1949(get_result_as_array)
299 0.001 0.000 0.001 0.000 api.py:125(<listcomp>)
27 0.001 0.000 0.037 0.001 algorithms.py:438(factorize)
3199/3187 0.001 0.000 0.001 0.000 {built-in method builtins.iter}
848 0.001 0.000 0.047 0.000 bard.py:345(perform)
39 0.001 0.000 0.001 0.000 {built-in method numpy.core.multiarray.putmask}
598 0.001 0.000 0.005 0.000 concat.py:485(<listcomp>)
200 0.001 0.000 0.001 0.000 common_math.py:41(get_racial_attribute_bonuses)
600 0.001 0.000 0.003 0.000 api.py:39(<listcomp>)
601 0.001 0.000 0.009 0.000 algorithms.py:1087(wrapper)
200 0.001 0.000 0.001 0.000 common_math.py:363(get_base_resources_by_job)
1181 0.001 0.000 0.002 0.000 bard.py:285(guarantee_crit)
400 0.001 0.000 0.001 0.000 bard.py:608(apply)
801 0.001 0.000 0.003 0.000 fromnumeric.py:50(_wrapfunc)
300 0.001 0.000 0.001 0.000 {built-in method now}
271 0.001 0.000 0.003 0.000 internals.py:4363(__init__)
135 0.001 0.000 0.008 0.000 format.py:2294(_make_fixed_width)
595 0.001 0.000 0.001 0.000 config.py:547(_get_root)
106 0.001 0.000 0.004 0.000 base.py:2662(get_indexer)
1 0.001 0.001 0.172 0.172 reporting.py:29(report)
1206 0.001 0.000 0.001 0.000 _validators.py:221(validate_bool_kwarg)
400 0.001 0.000 0.137 0.000 frame.py:6413(_convert_object_array)
3243 0.001 0.000 0.001 0.000 __init__.py:270(strlen)
3513 0.001 0.000 0.001 0.000 {built-in method pandas._libs.lib.is_float}
1307 0.001 0.000 0.003 0.000 internals.py:4810(_shape_compat)
600 0.001 0.000 0.002 0.000 concat.py:89(_get_frame_result_type)
1309 0.001 0.000 0.001 0.000 base.py:735(<listcomp>)
600 0.001 0.000 0.033 0.000 bard.py:441(perform)
100 0.001 0.000 0.001 0.000 bard.py:43(create_buffs)
2582 0.001 0.000 0.001 0.000 concat.py:139(<genexpr>)
1043 0.001 0.000 0.005 0.000 common.py:1371(needs_i8_conversion)
299 0.001 0.000 0.002 0.000 api.py:121(_get_consensus_names)
3789 0.001 0.000 0.001 0.000 concat.py:95(<genexpr>)
1216 0.001 0.000 0.001 0.000 config.py:562(_get_deprecated_option)
62 0.001 0.000 0.001 0.000 numeric.py:2319(within_tol)
200 0.001 0.000 0.001 0.000 actor.py:134(create_actions)
198/99 0.001 0.000 0.022 0.000 timedeltas.py:17(to_timedelta)
2275 0.001 0.000 0.001 0.000 internals.py:3524(is_consolidated)
534 0.001 0.000 0.002 0.000 bard.py:645(__str__)
1945 0.001 0.000 0.001 0.000 base.py:578(dtype)
100 0.001 0.000 0.011 0.000 nanops.py:343(nanmean)
103 0.001 0.000 0.008 0.000 base.py:2946(reindex)
1 0.001 0.001 12.545 12.545 example.py:1(<module>)
10 0.001 0.000 0.003 0.000 sorting.py:20(get_group_index)
3319 0.001 0.000 0.001 0.000 {method 'values' of 'dict' objects}
600 0.001 0.000 0.002 0.000 inference.py:102(is_iterator)
526 0.001 0.000 0.046 0.000 bard.py:404(perform)
2814 0.001 0.000 0.001 0.000 {method 'pop' of 'dict' objects}
12 0.001 0.000 0.037 0.003 format.py:498(_to_str_columns)
99 0.001 0.000 0.003 0.000 timedeltas.py:185(__new__)
192 0.001 0.000 0.002 0.000 fromnumeric.py:2222(amax)
300 0.001 0.000 0.001 0.000 bard.py:590(apply)
216 0.001 0.000 0.001 0.000 format.py:1923(base_formatter)
36 0.001 0.000 0.003 0.000 format.py:1964(format_values_with)
332 0.001 0.000 0.001 0.000 series.py:336(name)
737 0.001 0.000 0.002 0.000 common.py:657(is_dtype_equal)
1100 0.001 0.000 0.001 0.000 aura.py:33(__init__)
594 0.001 0.000 0.004 0.000 config.py:96(_get_option)
271 0.001 0.000 0.001 0.000 series.py:300(_set_axis)
101 0.001 0.000 0.018 0.000 generic.py:7301(stat_func)
838 0.000 0.000 0.000 0.000 {built-in method numpy.core.umath.seterrobj}
610 0.000 0.000 0.001 0.000 generic.py:376(_get_block_manager_axis)
1741 0.000 0.000 0.000 0.000 internals.py:3135(_get_items)
400 0.000 0.000 0.014 0.000 cast.py:879(try_datetime)
100 0.000 0.000 0.037 0.000 event.py:54(execute)
2130 0.000 0.000 0.000 0.000 {method 'upper' of 'str' objects}
33 0.000 0.000 0.002 0.000 printing.py:12(adjoin)
137 0.000 0.000 0.001 0.000 base.py:1594(_engine)
714 0.000 0.000 0.007 0.000 base.py:1623(inferred_type)
600 0.000 0.000 0.000 0.000 concat.py:488(<listcomp>)
348 0.000 0.000 0.001 0.000 frozen.py:38(__getitem__)
419 0.000 0.000 0.003 0.000 numeric.py:2857(__enter__)
100 0.000 0.000 0.001 0.000 bard.py:55(create_target_data)
23 0.000 0.000 0.003 0.000 groupby.py:2778(_get_grouper)
600 0.000 0.000 0.001 0.000 concat.py:416(_get_result_dim)
41 0.000 0.000 0.006 0.000 cast.py:69(maybe_downcast_to_dtype)
210 0.000 0.000 0.001 0.000 printing.py:158(pprint_thing)
300 0.000 0.000 0.030 0.000 bard.py:599(perform)
482 0.000 0.000 0.001 0.000 common.py:777(is_integer_dtype)
271 0.000 0.000 0.000 0.000 series.py:326(_set_subtyp)
623 0.000 0.000 0.000 0.000 base.py:1112(_get_names)
419 0.000 0.000 0.000 0.000 numeric.py:2853(__init__)
794 0.000 0.000 0.000 0.000 internals.py:5225(<listcomp>)
244 0.000 0.000 0.004 0.000 base.py:799(tolist)
2477 0.000 0.000 0.000 0.000 {built-in method pandas._libs.lib.is_integer}
9 0.000 0.000 0.004 0.000 multi.py:960(format)
802 0.000 0.000 0.000 0.000 numerictypes.py:939(_can_coerce_all)
71 0.000 0.000 0.001 0.000 internals.py:3865(iget)
57 0.000 0.000 0.012 0.000 format.py:1787(format_array)
400 0.000 0.000 0.002 0.000 range.py:157(_data)
419 0.000 0.000 0.002 0.000 numeric.py:2862(__exit__)
273 0.000 0.000 0.000 0.000 generic.py:3600(__getattr__)
1800 0.000 0.000 0.000 0.000 common.py:227(<genexpr>)
99 0.000 0.000 0.003 0.000 cast.py:39(maybe_convert_platform)
126 0.000 0.000 0.001 0.000 format.py:349(_get_formatter)
605 0.000 0.000 0.001 0.000 <frozen importlib._bootstrap_external>:57(_path_join)
2 0.000 0.000 0.000 0.000 {method 'get_labels' of 'pandas._libs.hashtable.Int64HashTable' objects}
210 0.000 0.000 0.001 0.000 printing.py:187(as_escaped_unicode)
404 0.000 0.000 0.000 0.000 generic.py:1931(_clear_item_cache)
293 0.000 0.000 0.001 0.000 multi.py:537(__len__)
120 0.000 0.000 0.013 0.000 nanops.py:103(f)
244 0.000 0.000 0.003 0.000 common.py:612(is_datetimelike)
197 0.000 0.000 0.000 0.000 internals.py:4506(internal_values)
605 0.000 0.000 0.001 0.000 <frozen importlib._bootstrap_external>:59(<listcomp>)
405 0.000 0.000 0.000 0.000 range.py:224(dtype)
57 0.000 0.000 0.021 0.000 format.py:702(_format_col)
1676 0.000 0.000 0.000 0.000 {built-in method numpy.core.umath.geterrobj}
1 0.000 0.000 0.000 0.000 {pandas._libs.algos.take_2d_axis1_object_object}
516 0.000 0.000 0.000 0.000 dtypes.py:645(construct_from_string)
598 0.000 0.000 0.002 0.000 concat.py:477(<listcomp>)
794 0.000 0.000 0.000 0.000 internals.py:322(<listcomp>)
99 0.000 0.000 0.000 0.000 timedeltas.py:305(_simple_new)
609 0.000 0.000 0.000 0.000 base.py:717(_coerce_to_ndarray)
48 0.000 0.000 0.006 0.000 groupby.py:487(__init__)
798 0.000 0.000 0.000 0.000 internals.py:4873(<listcomp>)
1204 0.000 0.000 0.000 0.000 internals.py:185(fill_value)
1454 0.000 0.000 0.000 0.000 {built-in method pandas._libs.lib.is_bool}
99 0.000 0.000 0.022 0.000 cast.py:899(try_timedelta)
600 0.000 0.000 0.000 0.000 common.py:225(_not_none)
13 0.000 0.000 0.009 0.001 <frozen importlib._bootstrap_external>:1117(_get_spec)
595 0.000 0.000 0.004 0.000 config.py:223(__call__)
603 0.000 0.000 0.000 0.000 base.py:1784(<listcomp>)
313 0.000 0.000 0.000 0.000 series.py:340(name)
634 0.000 0.000 0.000 0.000 generic.py:3583(__finalize__)
201 0.000 0.000 0.019 0.000 base.py:1797(_concat_same_dtype)
100 0.000 0.000 0.001 0.000 nanops.py:695(_get_counts)
608 0.000 0.000 0.000 0.000 {method 'split' of 'str' objects}
62 0.000 0.000 0.002 0.000 numeric.py:2260(isclose)
57 0.000 0.000 0.003 0.000 frame.py:2041(_ixs)
100 0.000 0.000 0.000 0.000 event.py:49(__init__)
717 0.000 0.000 0.000 0.000 {method 'update' of 'dict' objects}
200 0.000 0.000 0.000 0.000 copy.py:66(copy)
54 0.000 0.000 0.005 0.000 indexing.py:1024(_getitem_nested_tuple)
13 0.000 0.000 0.009 0.001 <frozen importlib._bootstrap>:870(_find_spec)
400 0.000 0.000 0.000 0.000 internals.py:4479(dtype)
379 0.000 0.000 0.001 0.000 nanops.py:72(<genexpr>)
1459 0.000 0.000 0.000 0.000 {method 'extend' of 'list' objects}
100 0.000 0.000 0.013 0.000 api.py:72(_unique_indices)
113 0.000 0.000 0.001 0.000 base.py:433(_shallow_copy)
100 0.000 0.000 0.000 0.000 {pandas._libs.lib.fast_unique_multiple_list}
405 0.000 0.000 0.000 0.000 api.py:104(<listcomp>)
135 0.000 0.000 0.001 0.000 format.py:2302(<listcomp>)
90 0.000 0.000 0.005 0.000 iostream.py:195(schedule)
106 0.000 0.000 0.000 0.000 base.py:2829(_maybe_promote)
37 0.000 0.000 0.004 0.000 ops.py:713(wrapper)
861 0.000 0.000 0.000 0.000 internals.py:4409(_block)
2 0.000 0.000 0.000 0.000 function_base.py:4703(delete)
2025 0.000 0.000 0.000 0.000 {built-in method builtins.id}
138 0.000 0.000 0.000 0.000 printing.py:52(<listcomp>)
1259 0.000 0.000 0.000 0.000 {method 'rstrip' of 'str' objects}
33 0.000 0.000 0.004 0.000 base.py:1959(_format_with_header)
400 0.000 0.000 0.001 0.000 series.py:347(dtype)
713 0.000 0.000 0.000 0.000 internals.py:4773(<lambda>)
149 0.000 0.000 0.000 0.000 multi.py:540(_get_names)
135 0.000 0.000 0.003 0.000 format.py:2317(<listcomp>)
12 0.000 0.000 0.005 0.000 format.py:741(_get_formatted_column_labels)
879 0.000 0.000 0.000 0.000 {method 'join' of 'str' objects}
85 0.000 0.000 0.000 0.000 {built-in method _thread.allocate_lock}
595 0.000 0.000 0.001 0.000 config.py:603(_warn_if_deprecated)
54 0.000 0.000 0.001 0.000 algorithms.py:39(_ensure_data)
238 0.000 0.000 0.002 0.000 {method 'sum' of 'numpy.ndarray' objects}
794 0.000 0.000 0.000 0.000 internals.py:5200(<listcomp>)
26 0.000 0.000 0.039 0.002 groupby.py:2759(_make_labels)
171 0.000 0.000 0.000 0.000 printing.py:56(<listcomp>)
51 0.000 0.000 0.001 0.000 fromnumeric.py:2456(prod)
966 0.000 0.000 0.000 0.000 {method 'ljust' of 'str' objects}
200 0.000 0.000 0.000 0.000 actor.py:137(create_buffs)
621 0.000 0.000 0.000 0.000 config.py:529(_select_options)
604 0.000 0.000 0.000 0.000 {method 'clear' of 'dict' objects}
505 0.000 0.000 0.000 0.000 common.py:238(_all_none)
309 0.000 0.000 0.001 0.000 printing.py:47(justify)
17 0.000 0.000 0.007 0.000 threading.py:263(wait)
58 0.000 0.000 0.010 0.000 indexing.py:1358(__getitem__)
625 0.000 0.000 0.000 0.000 common.py:246(_any_not_none)
197 0.000 0.000 0.001 0.000 series.py:400(_values)
100 0.000 0.000 0.001 0.000 bard.py:62(calculate_resources)
25/13 0.000 0.000 0.010 0.001 <frozen importlib._bootstrap>:966(_find_and_load)
186 0.000 0.000 0.001 0.000 fromnumeric.py:2021(all)
57 0.000 0.000 0.005 0.000 indexing.py:1799(_getitem_axis)
600 0.000 0.000 0.000 0.000 concat.py:504(_maybe_check_integrity)
788 0.000 0.000 0.000 0.000 {method 'rjust' of 'str' objects}
6 0.000 0.000 0.072 0.012 groupby.py:2361(_aggregate_series_fast)
200 0.000 0.000 0.003 0.000 api.py:73(conv)
26 0.000 0.000 0.049 0.002 groupby.py:911(_cython_agg_general)
57 0.000 0.000 0.001 0.000 indexing.py:223(_is_nested_tuple_indexer)
621 0.000 0.000 0.000 0.000 config.py:590(_translate_key)
259 0.000 0.000 0.000 0.000 nanops.py:64(check)
19 0.000 0.000 0.000 0.000 {method 'nonzero' of 'numpy.ndarray' objects}
309 0.000 0.000 0.001 0.000 format.py:298(justify)
12 0.000 0.000 0.003 0.000 format.py:643(_join_multiline)
27 0.000 0.000 0.001 0.000 groupby.py:2625(__init__)
29 0.000 0.000 0.043 0.001 groupby.py:2312(aggregate)
23 0.000 0.000 0.016 0.001 groupby.py:2055(_get_compressed_labels)
33 0.000 0.000 0.001 0.000 base.py:1970(<listcomp>)
505 0.000 0.000 0.000 0.000 range.py:146(_validate_dtype)
37 0.000 0.000 0.001 0.000 ops.py:672(na_op)
57 0.000 0.000 0.001 0.000 indexing.py:199(_has_valid_tuple)
12 0.000 0.000 0.011 0.001 format.py:374(__init__)
99 0.000 0.000 0.000 0.000 _decorators.py:87(wrapper)
213 0.000 0.000 0.000 0.000 inference.py:397(is_sequence)
605 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:222(_verbose_message)
246 0.000 0.000 0.001 0.000 missing.py:192(notna)
108 0.000 0.000 0.000 0.000 threading.py:1104(is_alive)
19 0.000 0.000 0.000 0.000 {built-in method _operator.truediv}
55 0.000 0.000 0.001 0.000 frame.py:2115(__getitem__)
24 0.000 0.000 0.000 0.000 {pandas._libs.algos.take_1d_object_object}
4 0.000 0.000 0.001 0.000 sorting.py:364(_reorder_by_uniques)
36 0.000 0.000 0.001 0.000 format.py:1975(<listcomp>)
18 0.000 0.000 0.053 0.003 __init__.py:329(getMessage)
12 0.000 0.000 0.053 0.004 frame.py:616(__unicode__)
36 0.000 0.000 0.004 0.000 iostream.py:366(write)
35 0.000 0.000 0.001 0.000 base.py:1825(take)
651 0.000 0.000 0.000 0.000 {method 'replace' of 'str' objects}
114 0.000 0.000 0.001 0.000 indexing.py:1658(_has_valid_type)
175 0.000 0.000 0.001 0.000 common.py:184(is_bool_indexer)
23 0.000 0.000 0.006 0.000 generic.py:5105(groupby)
71 0.000 0.000 0.001 0.000 series.py:273(from_array)
114 0.000 0.000 0.001 0.000 indexing.py:1707(_is_valid_integer)
200 0.000 0.000 0.000 0.000 aura.py:180(__init__)
54 0.000 0.000 0.000 0.000 groupby.py:2144(_get_cython_function)
244 0.000 0.000 0.000 0.000 {method 'tolist' of 'numpy.ndarray' objects}
12 0.000 0.000 0.006 0.001 format.py:791(_get_formatted_index)
70 0.000 0.000 0.001 0.000 format.py:332(_get_adjustment)
300 0.000 0.000 0.000 0.000 {method 'clear' of 'list' objects}
2 0.000 0.000 0.000 0.000 {built-in method io.open}
18 0.000 0.000 0.009 0.000 __init__.py:969(flush)
100 0.000 0.000 0.000 0.000 __init__.py:814(step)
18 0.000 0.000 0.009 0.000 iostream.py:327(flush)
90 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.zeros}
108 0.000 0.000 0.000 0.000 indexing.py:2123(is_nested_tuple)
12 0.000 0.000 0.041 0.003 format.py:581(to_string)
380 0.000 0.000 0.000 0.000 bard.py:383(potency)
27 0.000 0.000 0.000 0.000 common.py:1903(pandas_dtype)
23 0.000 0.000 0.000 0.000 {built-in method pandas._libs.lib.is_datetime_array}
6 0.000 0.000 0.000 0.000 __init__.py:251(__init__)
1 0.000 0.000 0.000 0.000 {built-in method nt.listdir}
169 0.000 0.000 0.000 0.000 internals.py:4503(external_values)
38 0.000 0.000 0.006 0.000 groupby.py:871(_try_cast)
18 0.000 0.000 0.007 0.000 threading.py:533(wait)
3 0.000 0.000 0.001 0.000 internals.py:3898(delete)
100 0.000 0.000 0.000 0.000 actor.py:140(create_target_data)
18 0.000 0.000 0.000 0.000 threading.py:215(__init__)
62 0.000 0.000 0.003 0.000 numeric.py:2189(allclose)
40 0.000 0.000 0.001 0.000 expressions.py:59(_evaluate_standard)
13 0.000 0.000 0.001 0.000 console.py:46(get_console_size)
57 0.000 0.000 0.000 0.000 indexing.py:250(_convert_scalar_indexer)
25 0.000 0.000 0.000 0.000 {method 'to_array' of 'pandas._libs.hashtable.ObjectVector' objects}
6 0.000 0.000 0.075 0.012 groupby.py:931(_python_agg_general)
57 0.000 0.000 0.006 0.000 indexing.py:963(_getitem_lowerdim)
171 0.000 0.000 0.000 0.000 indexing.py:1360(<genexpr>)
380 0.000 0.000 0.000 0.000 bard.py:400(potency)
27 0.000 0.000 0.001 0.000 algorithms.py:132(_reconstruct_data)
123 0.000 0.000 0.000 0.000 __init__.py:206(itervalues)
374 0.000 0.000 0.000 0.000 bard.py:341(potency)
54 0.000 0.000 0.000 0.000 groupby.py:2148(get_func)
12 0.000 0.000 0.000 0.000 {method 'getvalue' of '_io.StringIO' objects}
57 0.000 0.000 0.010 0.000 format.py:1841(get_result)
261 0.000 0.000 0.002 0.000 _methods.py:25(_amax)
37 0.000 0.000 0.001 0.000 ops.py:697(safe_na_op)
100 0.000 0.000 0.000 0.000 bard.py:315(__init__)
4 0.000 0.000 0.000 0.000 indexing.py:2065(maybe_convert_indices)
23 0.000 0.000 0.018 0.001 groupby.py:2038(group_info)
57 0.000 0.000 0.000 0.000 format.py:537(<listcomp>)
3 0.000 0.000 0.095 0.032 reporting.py:44(get_damage_grouping)
33 0.000 0.000 0.002 0.000 format.py:301(adjoin)
12 0.000 0.000 0.052 0.004 frame.py:1651(to_string)
145 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap_external>:1080(_path_importer_cache)
100 0.000 0.000 0.000 0.000 nanops.py:805(_ensure_numeric)
119 0.000 0.000 0.001 0.000 cast.py:167(maybe_upcast_putmask)
119 0.000 0.000 0.001 0.000 nanops.py:260(_view_if_needed)
432 0.000 0.000 0.000 0.000 {method 'endswith' of 'str' objects}
202 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.normalize_axis_index}
238 0.000 0.000 0.001 0.000 _methods.py:31(_sum)
18 0.000 0.000 0.066 0.004 __init__.py:980(emit)
4 0.000 0.000 0.002 0.001 sorting.py:343(compress_group_index)
57 0.000 0.000 0.000 0.000 indexing.py:1680(_is_scalar_access)
23 0.000 0.000 0.031 0.001 groupby.py:2076(result_index)
15/3 0.000 0.000 0.081 0.027 groupby.py:3114(aggregate)
4 0.000 0.000 0.000 0.000 sorting.py:127(decons_group_index)
53 0.000 0.000 0.001 0.000 base.py:1123(set_names)
36 0.000 0.000 0.001 0.000 {method 'get_loc' of 'pandas._libs.index.IndexEngine' objects}
189 0.000 0.000 0.000 0.000 inference.py:365(is_hashable)
25 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:157(_get_module_lock)
374 0.000 0.000 0.000 0.000 bard.py:324(potency)
13 0.000 0.000 0.000 0.000 multi.py:543(_set_names)
12 0.000 0.000 0.001 0.000 internals.py:3251(apply)
119 0.000 0.000 0.000 0.000 common.py:961(is_int_or_datetime_dtype)
71 0.000 0.000 0.000 0.000 generic.py:1851(_set_as_cached)
66 0.000 0.000 0.000 0.000 _validators.py:130(validate_kwargs)
130 0.000 0.000 0.000 0.000 base.py:1597(<lambda>)
198 0.000 0.000 0.000 0.000 timedeltas.py:128(_validate_timedelta_unit)
254 0.000 0.000 0.000 0.000 internals.py:159(internal_values)
66 0.000 0.000 0.000 0.000 _validators.py:114(_check_for_invalid_keys)
9 0.000 0.000 0.000 0.000 multi.py:2789(_sparsify)
100 0.000 0.000 0.000 0.000 bard.py:374(__init__)
32 0.000 0.000 0.003 0.000 groupby.py:3209(_wrap_output)
100 0.000 0.000 0.003 0.000 api.py:78(<listcomp>)
109 0.000 0.000 0.000 0.000 missing.py:590(clean_reindex_fill_method)
55 0.000 0.000 0.001 0.000 generic.py:1837(_get_item_cache)
106 0.000 0.000 0.001 0.000 base.py:1324(is_boolean)
25/13 0.000 0.000 0.010 0.001 <frozen importlib._bootstrap>:936(_find_and_load_unlocked)
3 0.000 0.000 0.081 0.027 groupby.py:3153(_aggregate_multiple_funcs)
12 0.000 0.000 0.002 0.000 generic.py:3837(dtypes)
60 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.copyto}
16 0.000 0.000 0.000 0.000 {method 'add' of 'pandas._libs.lib.BlockPlacement' objects}
12 0.000 0.000 0.001 0.000 format.py:652(<listcomp>)
119 0.000 0.000 0.000 0.000 nanops.py:256(_na_ok_dtype)
334 0.000 0.000 0.000 0.000 multi.py:289(_get_labels)
21 0.000 0.000 0.000 0.000 {built-in method _operator.mul}
71 0.000 0.000 0.000 0.000 internals.py:341(iget)
36 0.000 0.000 0.000 0.000 format.py:2337(<listcomp>)
37 0.000 0.000 0.001 0.000 ops.py:331(get_op)
12 0.000 0.000 0.010 0.001 common.py:128(_stringify_path)
169 0.000 0.000 0.000 0.000 series.py:367(values)
100 0.000 0.000 0.000 0.000 bard.py:365(__init__)
123 0.000 0.000 0.000 0.000 function.py:38(__call__)
421 0.000 0.000 0.000 0.000 multi.py:541(<genexpr>)
22 0.000 0.000 0.047 0.002 groupby.py:1233(f)
12 0.000 0.000 0.000 0.000 format.py:2486(_binify)
57 0.000 0.000 0.000 0.000 format.py:1827(__init__)
21 0.000 0.000 0.000 0.000 format.py:2037(<listcomp>)
25 0.000 0.000 0.001 0.000 base.py:239(__getitem__)
57 0.000 0.000 0.007 0.000 indexing.py:1735(_getitem_tuple)
121 0.000 0.000 0.006 0.000 <frozen importlib._bootstrap_external>:75(_path_stat)
58 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.empty_like}
100 0.000 0.000 0.000 0.000 bard.py:553(__init__)
13 0.000 0.000 0.000 0.000 common.py:613(in_ipython_frontend)
19 0.000 0.000 0.003 0.000 generic.py:7279(stat_func)
36 0.000 0.000 0.005 0.000 format.py:2025(_format_strings)
64 0.000 0.000 0.000 0.000 groupby.py:816(_iterate_slices)
171 0.000 0.000 0.000 0.000 format.py:531(<genexpr>)
21 0.000 0.000 0.000 0.000 common.py:550(is_period_arraylike)
58 0.000 0.000 0.000 0.000 numeric.py:83(zeros_like)
36 0.000 0.000 0.000 0.000 format.py:2328(_cond)
18 0.000 0.000 0.053 0.003 __init__.py:562(format)
60 0.000 0.000 0.001 0.000 generic.py:1073(__contains__)
128 0.000 0.000 0.000 0.000 {built-in method _imp.release_lock}
62 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.result_type}
100 0.000 0.000 0.000 0.000 event.py:64(execute)
111 0.000 0.000 0.000 0.000 frame.py:535(axes)
252 0.000 0.000 0.000 0.000 format.py:2004(<genexpr>)
6 0.000 0.000 0.001 0.000 base.py:2276(intersection)
15 0.000 0.000 0.000 0.000 base.py:1246(is_monotonic_increasing)
33 0.000 0.000 0.004 0.000 base.py:1944(format)
255 0.000 0.000 0.000 0.000 printing.py:59(_join_unicode)
12 0.000 0.000 0.000 0.000 format.py:421(_chk_truncate)
27 0.000 0.000 0.005 0.000 algorithms.py:217(_get_data_algo)
55 0.000 0.000 0.001 0.000 frame.py:2141(_getitem_column)
112 0.000 0.000 0.000 0.000 generic.py:1804(_indexer)
4 0.000 0.000 0.003 0.001 internals.py:4243(take)
36 0.000 0.000 0.000 0.000 format.py:2361(_has_names)
6 0.000 0.000 0.001 0.000 sorting.py:316(get_group_index_sorter)
37 0.000 0.000 0.001 0.000 ops.py:652(_construct_result)
7 0.000 0.000 0.003 0.000 frame.py:408(_init_dict)
57 0.000 0.000 0.000 0.000 base.py:1360(_convert_scalar_indexer)
90 0.000 0.000 0.000 0.000 iostream.py:93(_event_pipe)
108 0.000 0.000 0.000 0.000 threading.py:1062(_wait_for_tstate_lock)
170 0.000 0.000 0.000 0.000 common.py:464(_apply_if_callable)
13 0.000 0.000 0.001 0.000 multi.py:110(__new__)
111 0.000 0.000 0.000 0.000 common.py:428(is_null_slice)
12 0.000 0.000 0.000 0.000 sorting.py:88(maybe_lift)
25 0.000 0.000 0.001 0.000 groupby.py:4295(_gotitem)
70 0.000 0.000 0.000 0.000 format.py:292(__init__)
264 0.000 0.000 0.000 0.000 {built-in method pandas._libs.lib.checknull}
27 0.000 0.000 0.000 0.000 groupby.py:2975(_convert_grouper)
39 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:861(_find_spec_legacy)
19 0.000 0.000 0.002 0.000 nanops.py:328(nansum)
36 0.000 0.000 0.000 0.000 format.py:2329(<listcomp>)
73 0.000 0.000 0.000 0.000 internals.py:3224(__len__)
18 0.000 0.000 0.066 0.004 __init__.py:850(handle)
33 0.000 0.000 0.001 0.000 printing.py:33(<listcomp>)
40 0.000 0.000 0.001 0.000 expressions.py:188(evaluate)
36 0.000 0.000 0.000 0.000 format.py:2330(<listcomp>)
1 0.000 0.000 0.000 0.000 {pandas._libs.algos.take_2d_axis1_bool_bool}
27 0.000 0.000 0.000 0.000 groupby.py:2908(is_in_obj)
36 0.000 0.000 0.000 0.000 format.py:1898(__init__)
1 0.000 0.000 12.546 12.546 py3compat.py:182(execfile)
36 0.000 0.000 0.000 0.000 numeric.py:1917(isscalar)
18 0.000 0.000 0.003 0.000 fromnumeric.py:1778(sum)
12 0.000 0.000 0.000 0.000 format.py:771(<listcomp>)
401 0.000 0.000 0.000 0.000 numerictypes.py:1014(<listcomp>)
96 0.000 0.000 0.000 0.000 groupby.py:3060(_selection_name)
57 0.000 0.000 0.000 0.000 indexing.py:224(<listcomp>)
12 0.000 0.000 0.001 0.000 multi.py:901(_get_level_values)
13 0.000 0.000 0.002 0.000 internals.py:1200(take_nd)
23 0.000 0.000 0.006 0.000 groupby.py:1839(groupby)
25 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:103(release)
121 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap_external>:37(_relax_case)
25 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:78(acquire)
320 0.000 0.000 0.000 0.000 base.py:1108(nlevels)
103 0.000 0.000 0.000 0.000 base.py:4222(_ensure_has_len)
6 0.000 0.000 0.066 0.011 __init__.py:1498(callHandlers)
348 0.000 0.000 0.000 0.000 {function FrozenList.__getitem__ at 0x10A7A660}
12 0.000 0.000 0.001 0.000 format.py:807(<listcomp>)
3 0.000 0.000 0.000 0.000 index_tricks.py:247(__getitem__)
3 0.000 0.000 0.002 0.001 frame.py:3590(sort_values)
63 0.000 0.000 0.000 0.000 indexing.py:2137(is_list_like_indexer)
57 0.000 0.000 0.000 0.000 internals.py:4509(formatting_values)
13 0.000 0.000 0.000 0.000 multi.py:183(_set_levels)
84 0.000 0.000 0.000 0.000 generic.py:420(_info_axis)
12 0.000 0.000 0.000 0.000 {method 'find_loader' of 'zipimport.zipimporter' objects}
200 0.000 0.000 0.000 0.000 actor.py:304(decide)
57 0.000 0.000 0.003 0.000 indexing.py:147(_get_loc)
3 0.000 0.000 0.002 0.001 base.py:3087(join)
54 0.000 0.000 0.000 0.000 indexing.py:225(<listcomp>)
6 0.000 0.000 0.000 0.000 internals.py:4463(get_slice)
36 0.000 0.000 0.000 0.000 format.py:2322(_trim_zeros)
15 0.000 0.000 0.000 0.000 internals.py:3836(get)
18 0.000 0.000 0.000 0.000 __init__.py:390(format)
6 0.000 0.000 0.000 0.000 {pandas._libs.hashtable.duplicated_int64}
8 0.000 0.000 0.000 0.000 argparse.py:1303(add_argument)
66 0.000 0.000 0.000 0.000 _validators.py:32(_check_for_default_values)
2/1 0.000 0.000 12.547 12.547 {built-in method builtins.exec}
8 0.000 0.000 0.000 0.000 ntpath.py:199(split)
57 0.000 0.000 0.000 0.000 series.py:405(_formatting_values)
29 0.000 0.000 0.000 0.000 missing.py:237(_isna_compat)
258 0.000 0.000 0.000 0.000 multi.py:180(_get_levels)
36 0.000 0.000 0.000 0.000 frame.py:817(__len__)
1 0.000 0.000 12.546 12.546 interactiveshell.py:2445(safe_execfile)
23 0.000 0.000 0.000 0.000 base.py:1635(is_all_dates)
3 0.000 0.000 0.002 0.001 generic.py:839(rename)
32 0.000 0.000 0.003 0.000 groupby.py:3221(_wrap_aggregated_output)
1 0.000 0.000 0.000 0.000 base.py:868(_format_data)
1 0.000 0.000 0.000 0.000 {method 'read' of '_io.BufferedReader' objects}
12 0.000 0.000 0.001 0.000 internals.py:3155(get_dtypes)
19 0.000 0.000 0.000 0.000 nanops.py:709(_maybe_null_out)
53 0.000 0.000 0.001 0.000 base.py:1182(rename)
6 0.000 0.000 0.001 0.000 series.py:2734(_take)
44 0.000 0.000 0.001 0.000 base.py:817(__iter__)
3 0.000 0.000 0.004 0.001 merge.py:577(get_result)
109 0.000 0.000 0.000 0.000 missing.py:73(clean_fill_method)
3 0.000 0.000 0.004 0.001 groupby.py:3635(_cython_agg_blocks)
26 0.000 0.000 0.000 0.000 groupby.py:667(__getattr__)
18 0.000 0.000 0.000 0.000 threading.py:498(__init__)
13 0.000 0.000 0.000 0.000 multi.py:292(_set_labels)
57 0.000 0.000 0.000 0.000 base.py:3482(_validate_indexer)
99 0.000 0.000 0.000 0.000 frequencies.py:391(to_offset)
12 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap_external>:1102(_legacy_get_spec)
36 0.000 0.000 0.050 0.001 groupby.py:933(<lambda>)
34 0.000 0.000 0.001 0.000 base.py:2518(get_loc)
36 0.000 0.000 0.000 0.000 iostream.py:300(_is_master_process)
18 0.000 0.000 0.000 0.000 multi.py:2676(_convert_can_do_setop)
23 0.000 0.000 0.000 0.000 groupby.py:1892(__init__)
12 0.000 0.000 0.000 0.000 {built-in method _imp.is_builtin}
111 0.000 0.000 0.000 0.000 format.py:2036(<lambda>)
13 0.000 0.000 0.053 0.004 base.py:50(__str__)
29 0.000 0.000 0.000 0.000 missing.py:360(_maybe_fill)
6 0.000 0.000 0.000 0.000 __init__.py:1374(findCaller)
3 0.000 0.000 0.000 0.000 {pandas._libs.join.inner_join_indexer_object}
25 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:58(__init__)
25 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:369(__init__)
6 0.000 0.000 0.000 0.000 argparse.py:157(__init__)
29 0.000 0.000 0.004 0.000 groupby.py:2319(_aggregate)
200 0.000 0.000 0.000 0.000 actor.py:22(__init__)
46 0.000 0.000 0.000 0.000 groupby.py:2875(<genexpr>)
6 0.000 0.000 0.001 0.000 series.py:729(_get_values)
69 0.000 0.000 0.000 0.000 {method 'max' of 'numpy.ndarray' objects}
36 0.000 0.000 0.000 0.000 __init__.py:807(acquire)
7 0.000 0.000 0.003 0.000 internals.py:4113(reindex_indexer)
3 0.000 0.000 0.000 0.000 merge.py:505(__init__)
21 0.000 0.000 0.000 0.000 __init__.py:125(lzip)
14 0.000 0.000 0.000 0.000 frame.py:2493(_box_item_values)
3 0.000 0.000 0.000 0.000 sorting.py:230(nargsort)
6 0.000 0.000 0.001 0.000 multi.py:731(is_monotonic_increasing)
40 0.000 0.000 0.000 0.000 expressions.py:169(_bool_arith_check)
39 0.000 0.000 0.000 0.000 multi.py:302(<genexpr>)
3 0.000 0.000 0.000 0.000 internals.py:3590(combine)
1 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap_external>:1281(_fill_cache)
3 0.000 0.000 0.000 0.000 {method 'cumsum' of 'numpy.ndarray' objects}
131 0.000 0.000 0.000 0.000 numeric.py:99(is_all_dates)
213 0.000 0.000 0.000 0.000 {built-in method builtins.callable}
37 0.000 0.000 0.000 0.000 ops.py:321(__init__)
36 0.000 0.000 0.001 0.000 iostream.py:313(_schedule_flush)
53 0.000 0.000 0.000 0.000 base.py:1115(_set_names)
18 0.000 0.000 0.000 0.000 multi.py:2585(union)
6 0.000 0.000 0.000 0.000 generic.py:299(_construct_axes_from_arguments)
6 0.000 0.000 0.000 0.000 multi.py:813(duplicated)
4 0.000 0.000 0.000 0.000 argparse.py:1222(__init__)
18 0.000 0.000 0.000 0.000 multi.py:2817(_get_na_rep)
39 0.000 0.000 0.000 0.000 multi.py:197(<genexpr>)
22 0.000 0.000 0.000 0.000 groupby.py:631(_set_group_selection)
12 0.000 0.000 0.000 0.000 {built-in method nt.getcwd}
9 0.000 0.000 0.000 0.000 ntpath.py:121(splitdrive)
6 0.000 0.000 0.066 0.011 __init__.py:1296(info)
51 0.000 0.000 0.001 0.000 _methods.py:34(_prod)
26 0.000 0.000 0.000 0.000 config.py:170(get_default_val)
28 0.000 0.000 0.000 0.000 base.py:1843(_assert_take_fillable)
8 0.000 0.000 0.000 0.000 concat.py:561(_concat_rangeindex_same_dtype)
3 0.000 0.000 0.001 0.000 internals.py:4156(_slice_take_blocks_ax0)
26 0.000 0.000 0.000 0.000 {built-in method pandas._libs.algos.ensure_int8}
200 0.000 0.000 0.000 0.000 actor.py:27(__init__)
25 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:147(__enter__)
119 0.000 0.000 0.000 0.000 nanops.py:179(_get_fill_value)
26 0.000 0.000 0.000 0.000 frozen.py:145(_ensure_frozen)
31 0.000 0.000 0.000 0.000 {method 'put' of 'numpy.ndarray' objects}
3 0.000 0.000 0.002 0.001 frame.py:3042(set_index)
169 0.000 0.000 0.000 0.000 internals.py:155(external_values)
62 0.000 0.000 0.028 0.000 groupby.py:2753(group_index)
21 0.000 0.000 0.000 0.000 frozen.py:49(__eq__)
23 0.000 0.000 0.011 0.000 groupby.py:2056(<listcomp>)
12 0.000 0.000 0.000 0.000 frame.py:610(_info_repr)
3 0.000 0.000 0.000 0.000 internals.py:1273(eval)
25 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:176(cb)
78 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:847(__exit__)
18 0.000 0.000 0.053 0.003 __init__.py:827(format)
12 0.000 0.000 0.000 0.000 format.py:649(<listcomp>)
24 0.000 0.000 0.000 0.000 format.py:783(has_index_names)
23 0.000 0.000 0.030 0.001 groupby.py:2065(ngroups)
10 0.000 0.000 0.000 0.000 sorting.py:47(_int64_cut_off)
57 0.000 0.000 0.000 0.000 internals.py:165(formatting_values)
18 0.000 0.000 0.000 0.000 __init__.py:387(usesTime)
8 0.000 0.000 0.000 0.000 groupby.py:1902(shape)
50 0.000 0.000 0.000 0.000 groupby.py:2868(<genexpr>)
21 0.000 0.000 0.000 0.000 format.py:2035(_format_strings)
40 0.000 0.000 0.000 0.000 expressions.py:159(_has_bool_dtype)
12 0.000 0.000 0.010 0.001 {built-in method builtins.__import__}
6 0.000 0.000 0.000 0.000 multi.py:389(copy)
13 0.000 0.000 0.009 0.001 <frozen importlib._bootstrap_external>:1149(find_spec)
49 0.000 0.000 0.000 0.000 groupby.py:2870(<genexpr>)
1 0.000 0.000 0.002 0.002 ops.py:827(wrapper)
78 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:843(__enter__)
42 0.000 0.000 0.000 0.000 {built-in method nt.getpid}
128 0.000 0.000 0.000 0.000 {built-in method _imp.acquire_lock}
14 0.000 0.000 0.000 0.000 frame.py:2500(_box_col_values)
3 0.000 0.000 0.001 0.000 generic.py:2981(reindex)
80 0.000 0.000 0.000 0.000 {method 'lower' of 'str' objects}
165 0.000 0.000 0.000 0.000 base.py:707(ndim)
18 0.000 0.000 0.000 0.000 __init__.py:540(usesTime)
13 0.000 0.000 0.000 0.000 __init__.py:23(find_module)
27 0.000 0.000 0.000 0.000 {method 'find' of 'str' objects}
36 0.000 0.000 0.000 0.000 __init__.py:814(release)
26 0.000 0.000 0.000 0.000 cast.py:593(coerce_indexer_dtype)
3 0.000 0.000 0.001 0.000 generic.py:3124(_reindex_with_indexers)
36 0.000 0.000 0.000 0.000 format.py:1908(_value_formatter)
3 0.000 0.000 0.000 0.000 internals.py:5637(_fast_count_smallints)
8 0.000 0.000 0.000 0.000 argparse.py:1440(_get_optional_kwargs)
23 0.000 0.000 0.000 0.000 groupby.py:1995(names)
107 0.000 0.000 0.000 0.000 {method 'append' of 'collections.deque' objects}
6 0.000 0.000 0.066 0.011 __init__.py:1419(_log)
4 0.000 0.000 0.002 0.000 internals.py:4148(<listcomp>)
38 0.000 0.000 0.000 0.000 {method 'acquire' of '_thread.RLock' objects}
46 0.000 0.000 0.011 0.000 groupby.py:2747(labels)
20 0.000 0.000 0.000 0.000 base.py:899(_extend_line)
3 0.000 0.000 0.000 0.000 multi.py:1440(take)
18 0.000 0.000 0.000 0.000 os.py:664(__getitem__)
108 0.000 0.000 0.000 0.000 threading.py:506(is_set)
8 0.000 0.000 0.000 0.000 range.py:479(__getitem__)
27 0.000 0.000 0.000 0.000 algorithms.py:164(_ensure_arraylike)
40 0.000 0.000 0.000 0.000 missing.py:594(fill_zeros)
7 0.000 0.000 0.006 0.001 groupby.py:1118(mean)
26 0.000 0.000 0.000 0.000 six.py:184(find_module)
25 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:151(__exit__)
23 0.000 0.000 0.000 0.000 groupby.py:611(_selected_obj)
18 0.000 0.000 0.000 0.000 internals.py:732(copy)
6 0.000 0.000 0.000 0.000 internals.py:3066(set_axis)
1 0.000 0.000 0.002 0.002 generic.py:2141(_take)
3 0.000 0.000 0.000 0.000 groupby.py:4374(_wrap_agged_blocks)
18 0.000 0.000 0.000 0.000 ops.py:101(<lambda>)
13 0.000 0.000 0.000 0.000 generic.py:148(_validate_dtype)
45 0.000 0.000 0.000 0.000 argparse.py:1274(register)
4 0.000 0.000 0.001 0.000 groupby.py:2069(recons_labels)
3 0.000 0.000 0.000 0.000 base.py:4115(_ensure_index_from_sequences)
37 0.000 0.000 0.000 0.000 ops.py:631(_align_method_SERIES)
5 0.000 0.000 0.000 0.000 range.py:248(_shallow_copy)
3 0.000 0.000 0.004 0.001 frame.py:5318(_join_compat)
12 0.000 0.000 0.000 0.000 internals.py:3156(<listcomp>)
6 0.000 0.000 0.000 0.000 {method 'sort' of 'numpy.ndarray' objects}
100 0.000 0.000 0.000 0.000 actor.py:17(__init__)
17 0.000 0.000 0.000 0.000 threading.py:251(_acquire_restore)
6 0.000 0.000 0.000 0.000 __init__.py:1404(makeRecord)
6 0.000 0.000 0.066 0.011 __init__.py:1444(handle)
2 0.000 0.000 0.000 0.000 actor.py:246(equip_gear)
8 0.000 0.000 0.000 0.000 argparse.py:1360(_add_action)
6 0.000 0.000 0.000 0.000 internals.py:660(_try_cast_result)
55 0.000 0.000 0.000 0.000 series.py:284(_constructor)
6 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.lexsort}
6 0.000 0.000 0.000 0.000 ntpath.py:43(normcase)
24 0.000 0.000 0.000 0.000 __init__.py:703(filter)
27 0.000 0.000 0.001 0.000 groupby.py:2898(is_in_axis)
3 0.000 0.000 0.004 0.001 groupby.py:3606(_cython_agg_general)
6 0.000 0.000 0.001 0.000 internals.py:3639(copy)
3 0.000 0.000 0.000 0.000 ops.py:1198(na_op)
6 0.000 0.000 0.000 0.000 genericpath.py:117(_splitext)
6 0.000 0.000 0.001 0.000 multi.py:739(<listcomp>)
2 0.000 0.000 0.000 0.000 actor.py:79(__init__)
18 0.000 0.000 0.000 0.000 threading.py:242(__exit__)
62 0.000 0.000 0.000 0.000 {built-in method _thread.get_ident}
6 0.000 0.000 0.000 0.000 argparse.py:576(_format_args)
18 0.000 0.000 0.000 0.000 __init__.py:546(formatMessage)
1 0.000 0.000 0.000 0.000 argparse.py:1771(_parse_known_args)
24 0.000 0.000 0.000 0.000 groupby.py:1904(<genexpr>)
6 0.000 0.000 0.000 0.000 base.py:809(_validate_names)
3 0.000 0.000 0.002 0.001 frame.py:2945(rename)
3 0.000 0.000 0.001 0.000 generic.py:2070(__delitem__)
1 0.000 0.000 0.000 0.000 argparse.py:1600(__init__)
3 0.000 0.000 0.000 0.000 gettext.py:466(find)
50 0.000 0.000 0.000 0.000 groupby.py:2869(<genexpr>)
21 0.000 0.000 0.000 0.000 base.py:65(<lambda>)
12 0.000 0.000 0.000 0.000 generic.py:1047(__iter__)
2 0.000 0.000 0.000 0.000 {pandas._libs.algos.take_2d_axis1_float64_float64}
26 0.000 0.000 0.000 0.000 base.py:102(_reset_cache)
6 0.000 0.000 0.000 0.000 _validators.py:230(validate_axis_style_args)
24 0.000 0.000 0.000 0.000 base.py:1085(_assert_can_do_setop)
18 0.000 0.000 0.000 0.000 {method 'pop' of 'list' objects}
6 0.000 0.000 0.000 0.000 multi.py:758(is_unique)
3 0.000 0.000 0.000 0.000 gettext.py:205(_expand_lang)
13 0.000 0.000 0.000 0.000 common.py:558(in_interactive_session)
26 0.000 0.000 0.000 0.000 multi.py:1377(nlevels)
8 0.000 0.000 0.001 0.000 range.py:466(_concat_same_dtype)
3 0.000 0.000 0.004 0.001 merge.py:47(merge)
3 0.000 0.000 0.000 0.000 {pandas._libs.lib.get_reverse_indexer}
3 0.000 0.000 0.000 0.000 generic.py:4037(_convert)
34 0.000 0.000 0.000 0.000 {method 'insert' of 'list' objects}
25 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:143(__init__)
12 0.000 0.000 0.010 0.001 <frozen importlib._bootstrap>:211(_call_with_frames_removed)
13 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:707(find_spec)
7 0.000 0.000 0.000 0.000 function.py:326(validate_groupby_func)
16 0.000 0.000 0.000 0.000 groupby.py:2734(ngroups)
18 0.000 0.000 0.000 0.000 threading.py:239(__enter__)
3 0.000 0.000 0.001 0.000 groupby.py:4334(_get_data_to_aggregate)
1 0.000 0.000 0.000 0.000 {method 'delete' of 'pandas._libs.lib.BlockPlacement' objects}
6 0.000 0.000 0.000 0.000 ntpath.py:222(splitext)
12 0.000 0.000 0.000 0.000 enum.py:735(__and__)
3 0.000 0.000 0.000 0.000 argparse.py:1529(__init__)
6 0.000 0.000 0.000 0.000 fromnumeric.py:734(sort)
21 0.000 0.000 0.000 0.000 multi.py:2523(equals)
3 0.000 0.000 0.001 0.000 frame.py:2883(_reindex_columns)
10 0.000 0.000 0.000 0.000 random.py:223(_randbelow)
18 0.000 0.000 0.000 0.000 fromnumeric.py:2725(size)
27 0.000 0.000 0.000 0.000 groupby.py:2970(_is_label_like)
6 0.000 0.000 0.001 0.000 multi.py:723(is_monotonic)
8 0.000 0.000 0.000 0.000 sorting.py:119(is_int64_overflow_possible)
3 0.000 0.000 0.001 0.000 frame.py:2921(reindex)
3 0.000 0.000 0.000 0.000 internals.py:3596(<listcomp>)
3 0.000 0.000 0.002 0.001 merge.py:729(_get_join_info)
8 0.000 0.000 0.000 0.000 argparse.py:789(__init__)
1 0.000 0.000 0.000 0.000 argparse.py:1736(parse_known_args)
71 0.000 0.000 0.000 0.000 multi.py:1088(is_all_dates)
18 0.000 0.000 0.000 0.000 base.py:745(size)
3 0.000 0.000 0.001 0.000 generic.py:4007(copy)
27 0.000 0.000 0.000 0.000 config.py:579(_get_registered_option)
62 0.000 0.000 0.000 0.000 cast.py:77(trans)
23 0.000 0.000 0.000 0.000 groupby.py:1997(<listcomp>)
12 0.000 0.000 0.000 0.000 common.py:102(_expand_user)
18 0.000 0.000 0.000 0.000 os.py:734(encodekey)
6 0.000 0.000 0.000 0.000 internals.py:260(_slice)
32 0.000 0.000 0.000 0.000 {built-in method nt.fspath}
3 0.000 0.000 0.000 0.000 base.py:1587(_cleanup)
3 0.000 0.000 0.000 0.000 frame.py:3984(_combine_const)
6 0.000 0.000 0.000 0.000 internals.py:200(make_block)
3 0.000 0.000 0.000 0.000 internals.py:5064(_transform_index)
2 0.000 0.000 0.000 0.000 {pandas._libs.algos.take_2d_axis1_int64_int64}
6 0.000 0.000 0.000 0.000 __init__.py:157(<lambda>)
26 0.000 0.000 0.000 0.000 frozen.py:101(_shallow_copy)
3 0.000 0.000 0.001 0.000 ops.py:1254(f)
38 0.000 0.000 0.000 0.000 {method 'release' of '_thread.RLock' objects}
7 0.000 0.000 0.000 0.000 ntpath.py:233(basename)
12 0.000 0.000 0.000 0.000 base.py:626(_is_cython_func)
3 0.000 0.000 0.000 0.000 internals.py:693(_try_coerce_args)
12 0.000 0.000 0.001 0.000 internals.py:3659(<lambda>)
1 0.000 0.000 0.000 0.000 ntpath.py:471(normpath)
12 0.000 0.000 0.000 0.000 _collections_abc.py:657(get)
16 0.000 0.000 0.000 0.000 re.py:286(_compile)
3 0.000 0.000 0.001 0.000 base.py:228(_obj_with_exclusions)
6 0.000 0.000 0.003 0.000 _decorators.py:125(wrapper)
7 0.000 0.000 0.000 0.000 base.py:737(view)
1 0.000 0.000 0.000 0.000 multi.py:605(_get_grouper_for_level)
3 0.000 0.000 0.001 0.000 internals.py:3078(rename_axis)
12 0.000 0.000 0.000 0.000 format.py:344(should_show_dimensions)
9 0.000 0.000 0.000 0.000 {method 'match' of '_sre.SRE_Pattern' objects}
5 0.000 0.000 0.000 0.000 indexing.py:93(__init__)
3 0.000 0.000 0.000 0.000 internals.py:1326(get_result)
3 0.000 0.000 0.000 0.000 internals.py:3580(get_numeric_data)
2 0.000 0.000 0.000 0.000 {method 'to_array' of 'pandas._libs.hashtable.Int64Vector' objects}
1 0.000 0.000 0.000 0.000 config.py:104(_set_option)
15 0.000 0.000 0.000 0.000 frame.py:422(<genexpr>)
1 0.000 0.000 0.000 0.000 internals.py:354(delete)
3 0.000 0.000 0.000 0.000 internals.py:1835(_can_hold_element)
8 0.000 0.000 0.000 0.000 argparse.py:1551(_add_action)
13 0.000 0.000 0.000 0.000 series.py:483(__len__)
1 0.000 0.000 0.000 0.000 simulator.py:46(__init__)
13 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap>:780(find_spec)
4 0.000 0.000 0.003 0.001 groupby.py:2081(<listcomp>)
15 0.000 0.000 0.000 0.000 base.py:1241(is_monotonic)
18 0.000 0.000 0.000 0.000 {method '__enter__' of '_thread.lock' objects}
32 0.000 0.000 0.000 0.000 {method 'partition' of 'str' objects}
18 0.000 0.000 0.000 0.000 {method 'rfind' of 'str' objects}
12 0.000 0.000 0.000 0.000 {built-in method builtins.setattr}
3 0.000 0.000 0.000 0.000 common.py:1202(is_numeric_v_string_like)
1 0.000 0.000 0.000 0.000 simulator.py:334(__set_logger)
3 0.000 0.000 0.000 0.000 internals.py:5648(_preprocess_slice_or_indexer)
17 0.000 0.000 0.000 0.000 threading.py:254(_is_owned)
12 0.000 0.000 0.000 0.000 equipment.py:44(__init__)
37 0.000 0.000 0.000 0.000 ops.py:318(<lambda>)
3 0.000 0.000 0.000 0.000 merge.py:648(_maybe_add_join_keys)
1 0.000 0.000 0.000 0.000 {pandas._libs.algos.take_2d_axis0_float64_float64}
13 0.000 0.000 0.000 0.000 {built-in method _imp.is_frozen}
1 0.000 0.000 0.000 0.000 __init__.py:778(__init__)
17 0.000 0.000 0.000 0.000 threading.py:248(_release_save)
15 0.000 0.000 0.000 0.000 groupby.py:3168(<genexpr>)
12 0.000 0.000 0.000 0.000 format.py:787(has_column_names)
6 0.000 0.000 0.000 0.000 common.py:35(_ensure_float)
12 0.000 0.000 0.000 0.000 common.py:447(_get_callable_name)
4 0.000 0.000 0.000 0.000 sorting.py:147(decons_obs_group_ids)
3 0.000 0.000 0.000 0.000 internals.py:709(_try_coerce_and_cast_result)
12 0.000 0.000 0.000 0.000 enum.py:515(__new__)
1 0.000 0.000 0.000 0.000 threading.py:74(RLock)
16 0.000 0.000 0.000 0.000 argparse.py:1278(_registry_get)
6 0.000 0.000 0.000 0.000 common.py:262(_count_not_none)
1 0.000 0.000 0.000 0.000 base.py:828(__unicode__)
6 0.000 0.000 0.000 0.000 multi.py:434(view)
3 0.000 0.000 0.000 0.000 generic.py:2250(xs)
3 0.000 0.000 0.000 0.000 internals.py:3464(convert)
3 0.000 0.000 0.001 0.000 internals.py:5013(items_overlap_with_suffix)
3 0.000 0.000 0.000 0.000 fromnumeric.py:1534(nonzero)
1 0.000 0.000 0.002 0.002 indexing.py:1572(_getitem_axis)
3 0.000 0.000 0.000 0.000 merge.py:769(_get_merge_keys)
18 0.000 0.000 0.000 0.000 {built-in method _imp.lock_held}
16 0.000 0.000 0.000 0.000 re.py:231(compile)
6 0.000 0.000 0.000 0.000 threading.py:1230(current_thread)
10 0.000 0.000 0.000 0.000 random.py:253(choice)
19 0.000 0.000 0.000 0.000 frame.py:303(_constructor)
1 0.000 0.000 0.002 0.002 indexing.py:1384(_getbool_axis)
12 0.000 0.000 0.000 0.000 enum.py:265(__call__)
8 0.000 0.000 0.000 0.000 argparse.py:1709(_add_action)
1 0.000 0.000 0.000 0.000 indexing.py:2012(check_bool_indexer)
9 0.000 0.000 0.000 0.000 merge.py:1557(_any)
11 0.000 0.000 0.000 0.000 text.py:271(<genexpr>)
3 0.000 0.000 0.000 0.000 gettext.py:572(dgettext)
3 0.000 0.000 0.000 0.000 groupby.py:4392(_reindex_output)
1 0.000 0.000 0.000 0.000 multi.py:2285(_get_level_indexer)
3 0.000 0.000 0.000 0.000 generic.py:3008(<listcomp>)
3 0.000 0.000 0.000 0.000 internals.py:3434(eval)
6 0.000 0.000 0.001 0.000 internals.py:3660(<listcomp>)
8 0.000 0.000 0.000 0.000 ntpath.py:33(_get_bothseps)
1 0.000 0.000 0.000 0.000 ntpath.py:308(expanduser)
18 0.000 0.000 0.000 0.000 numerictypes.py:948(<listcomp>)
3 0.000 0.000 0.000 0.000 gettext.py:506(translation)
2 0.000 0.000 0.000 0.000 base.py:910(<listcomp>)
6 0.000 0.000 0.000 0.000 generic.py:331(<listcomp>)
6 0.000 0.000 0.000 0.000 {method 'transpose' of 'numpy.ndarray' objects}
56 0.000 0.000 0.000 0.000 {method 'setdefault' of 'dict' objects}
18 0.000 0.000 0.000 0.000 os.py:728(check_str)
8 0.000 0.000 0.000 0.000 argparse.py:1476(_pop_action_class)
6 0.000 0.000 0.000 0.000 argparse.py:2348(_get_formatter)
3 0.000 0.000 0.000 0.000 groupby.py:4406(<listcomp>)
1 0.000 0.000 0.002 0.002 ops.py:751(_comp_method_OBJECT_ARRAY)
3 0.000 0.000 0.000 0.000 generic.py:3045(_needs_reindex_multi)
1 0.000 0.000 12.547 12.547 <string>:1(<module>)
4 0.000 0.000 0.000 0.000 argparse.py:1480(_get_handler)
3 0.000 0.000 0.000 0.000 __init__.py:122(lrange)
6 0.000 0.000 0.000 0.000 groupby.py:2137(_is_builtin_func)
3 0.000 0.000 0.000 0.000 base.py:3380(_join_monotonic)
3 0.000 0.000 0.000 0.000 generic.py:558(_set_axis)
12 0.000 0.000 0.000 0.000 internals.py:4470(index)
23 0.000 0.000 0.000 0.000 internals.py:4533(is_consolidated)
6 0.000 0.000 0.000 0.000 {built-in method time.time}
6 0.000 0.000 0.000 0.000 {built-in method sys._getframe}
6 0.000 0.000 0.000 0.000 __init__.py:120(getLevelName)
4 0.000 0.000 0.000 0.000 common.py:267(_try_sort)
8 0.000 0.000 0.000 0.000 concat.py:573(<listcomp>)
1 0.000 0.000 0.000 0.000 base.py:979(_format_attrs)
3 0.000 0.000 0.000 0.000 base.py:2272(_wrap_union_result)
6 0.000 0.000 0.000 0.000 multi.py:470(dtype)
3 0.000 0.000 0.004 0.001 frame.py:5196(join)
1 0.000 0.000 0.000 0.000 indexing.py:1975(convert_to_index_sliceable)
2 0.000 0.000 0.000 0.000 internals.py:4513(get_values)
6 0.000 0.000 0.000 0.000 threading.py:1076(name)
3 0.000 0.000 0.000 0.000 locale.py:379(normalize)
3 0.000 0.000 0.000 0.000 argparse.py:831(__init__)
3 0.000 0.000 0.000 0.000 fromnumeric.py:1934(any)
18 0.000 0.000 0.000 0.000 __init__.py:254(u)
6 0.000 0.000 0.000 0.000 base.py:630(_is_builtin_func)
6 0.000 0.000 0.000 0.000 {method 'swapaxes' of 'numpy.ndarray' objects}
6 0.000 0.000 0.000 0.000 groupby.py:1909(nkeys)
1 0.000 0.000 0.000 0.000 base.py:1720(__hash__)
3 0.000 0.000 0.000 0.000 ops.py:1152(_align_method_FRAME)
1 0.000 0.000 0.000 0.000 multi.py:449(__contains__)
6 0.000 0.000 0.000 0.000 numeric.py:174(_assert_safe_casting)
3 0.000 0.000 0.000 0.000 internals.py:5080(<listcomp>)
3 0.000 0.000 0.000 0.000 merge.py:880(_maybe_coerce_merge_keys)
2 0.000 0.000 0.000 0.000 numeric.py:146(ones)
6 0.000 0.000 0.000 0.000 argparse.py:202(__init__)
8 0.000 0.000 0.000 0.000 argparse.py:1489(_check_conflict)
18 0.000 0.000 0.000 0.000 common.py:264(<genexpr>)
3 0.000 0.000 0.000 0.000 multi.py:1452(_assert_take_fillable)
3 0.000 0.000 0.001 0.000 frame.py:2858(_reindex_axes)
6 0.000 0.000 0.000 0.000 indexing.py:2143(is_label_like)
3 0.000 0.000 0.000 0.000 merge.py:936(_validate_specification)
17 0.000 0.000 0.000 0.000 {method 'release' of '_thread.lock' objects}
13 0.000 0.000 0.000 0.000 interactiveshell.py:510(get_ipython)
1 0.000 0.000 0.000 0.000 syspathcontext.py:48(__enter__)
1 0.000 0.000 0.000 0.000 syspathcontext.py:55(__exit__)
1 0.000 0.000 0.000 0.000 base.py:927(<listcomp>)
1 0.000 0.000 0.000 0.000 multi.py:2013(get_loc)
12 0.000 0.000 0.000 0.000 internals.py:3310(<genexpr>)
3 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.bincount}
1 0.000 0.000 0.000 0.000 {built-in method _locale._getdefaultlocale}
18 0.000 0.000 0.000 0.000 {method '__exit__' of '_thread.lock' objects}
1 0.000 0.000 0.000 0.000 <frozen importlib._bootstrap_external>:1310(<setcomp>)
12 0.000 0.000 0.000 0.000 enum.py:727(__bool__)
1 0.000 0.000 0.000 0.000 text.py:254(random_string)
1 0.000 0.000 0.000 0.000 __init__.py:769(__init__)
6 0.000 0.000 0.000 0.000 argparse.py:569(format)
4 0.000 0.000 0.000 0.000 argparse.py:866(__init__)
1 0.000 0.000 0.000 0.000 base.py:942(<listcomp>)
1 0.000 0.000 0.000 0.000 equipment.py:80(__init__)
1 0.000 0.000 0.000 0.000 reporting.py:15(__init__)
2 0.000 0.000 0.000 0.000 argparse.py:1350(add_argument_group)
1 0.000 0.000 0.000 0.000 builtin_trap.py:46(__exit__)
1 0.000 0.000 0.002 0.002 ops.py:773(na_op)
3 0.000 0.000 0.000 0.000 multi.py:1471(<listcomp>)
12 0.000 0.000 0.000 0.000 generic.py:860(f)
16 0.000 0.000 0.000 0.000 internals.py:3931(<genexpr>)
14 0.000 0.000 0.000 0.000 {method 'getrandbits' of '_random.Random' objects}
1 0.000 0.000 0.000 0.000 ntpath.py:538(abspath)
1 0.000 0.000 0.000 0.000 __init__.py:958(__init__)
2 0.000 0.000 0.000 0.000 argparse.py:889(__init__)
1 0.000 0.000 0.000 0.000 argparse.py:1916(consume_positionals)
6 0.000 0.000 0.000 0.000 base.py:1590(_constructor)
3 0.000 0.000 0.000 0.000 generic.py:857(_get_rename_function)
1 0.000 0.000 0.000 0.000 _bootlocale.py:11(getpreferredencoding)
2 0.000 0.000 0.000 0.000 __init__.py:219(_acquireLock)
1 0.000 0.000 0.000 0.000 __init__.py:470(__init__)
6 0.000 0.000 0.000 0.000 argparse.py:560(_metavar_formatter)
6 0.000 0.000 0.000 0.000 process.py:35(current_process)
6 0.000 0.000 0.000 0.000 process.py:146(name)
3 0.000 0.000 0.000 0.000 cast.py:486(maybe_infer_dtype_type)
3 0.000 0.000 0.000 0.000 base.py:209(_selection_list)
1 0.000 0.000 0.000 0.000 base.py:928(<listcomp>)
5 0.000 0.000 0.000 0.000 range.py:165(_get_data_as_items)
12 0.000 0.000 0.000 0.000 generic.py:1165(to_dense)
1 0.000 0.000 0.000 0.000 generic.py:1957(_set_is_copy)
1 0.000 0.000 0.000 0.000 series.py:288(_constructor_expanddim)
1 0.000 0.000 0.000 0.000 series.py:1176(to_frame)
3 0.000 0.000 0.000 0.000 reporting.py:38(create_pct_total)
4 0.000 0.000 0.000 0.000 equipment.py:20(__init__)
6 0.000 0.000 0.000 0.000 {method 'lstrip' of 'str' objects}
1 0.000 0.000 0.000 0.000 __init__.py:750(_addHandlerRef)
1 0.000 0.000 0.000 0.000 missing.py:369(na_value_for_dtype)
1 0.000 0.000 0.000 0.000 nanops.py:288(_na_for_min_count)
1 0.000 0.000 0.000 0.000 base.py:943(<listcomp>)
3 0.000 0.000 0.000 0.000 base.py:2041(identical)
2 0.000 0.000 0.000 0.000 series.py:411(get_values)
2 0.000 0.000 0.000 0.000 {built-in method numpy.core.multiarray.can_cast}
3 0.000 0.000 0.000 0.000 inference.py:51(is_string_like)
1 0.000 0.000 0.000 0.000 base.py:841(<listcomp>)
1 0.000 0.000 0.000 0.000 __init__.py:1454(addHandler)
1 0.000 0.000 0.000 0.000 argparse.py:1007(__init__)
2 0.000 0.000 0.000 0.000 argparse.py:1568(_add_action)
9 0.000 0.000 0.000 0.000 common.py:422(_maybe_make_list)
2 0.000 0.000 0.000 0.000 base.py:908(best_len)
1 0.000 0.000 0.000 0.000 {built-in method nt._getfullpathname}
2 0.000 0.000 0.000 0.000 __init__.py:228(_releaseLock)
1 0.000 0.000 0.000 0.000 argparse.py:1355(add_mutually_exclusive_group)
3 0.000 0.000 0.000 0.000 gettext.py:611(gettext)
4 0.000 0.000 0.000 0.000 groupby.py:2072(<genexpr>)
6 0.000 0.000 0.000 0.000 base.py:1209(_has_complex_internals)
2 0.000 0.000 0.000 0.000 internals.py:178(to_dense)
3 0.000 0.000 0.000 0.000 internals.py:644(convert)
3 0.000 0.000 0.000 0.000 internals.py:4902(_block_shape)
1 0.000 0.000 0.000 0.000 __init__.py:798(createLock)
1 0.000 0.000 0.000 0.000 __init__.py:1278(setLevel)
1 0.000 0.000 0.000 0.000 traitlets.py:545(__get__)
2 0.000 0.000 0.000 0.000 argparse.py:906(__init__)
1 0.000 0.000 0.000 0.000 argparse.py:1563(__init__)
1 0.000 0.000 0.000 0.000 argparse.py:2067(_match_arguments_partial)
2 0.000 0.000 0.000 0.000 base.py:3467(_maybe_cast_indexer)
1 0.000 0.000 0.000 0.000 series.py:493(__array__)
1 0.000 0.000 0.000 0.000 {method 'isatty' of '_io._IOBase' objects}
1 0.000 0.000 0.000 0.000 __init__.py:888(__exit__)
1 0.000 0.000 0.000 0.000 ntpath.py:240(dirname)
2 0.000 0.000 0.000 0.000 __init__.py:190(_checkLevel)
1 0.000 0.000 0.000 0.000 __init__.py:683(__init__)
1 0.000 0.000 0.000 0.000 argparse.py:1721(_get_positional_actions)
1 0.000 0.000 0.000 0.000 argparse.py:1729(parse_args)
3 0.000 0.000 0.000 0.000 base.py:2927(_can_reindex)
4 0.000 0.000 0.000 0.000 frame.py:459(<listcomp>)
1 0.000 0.000 0.000 0.000 internals.py:1925(fill_value)
3 0.000 0.000 0.000 0.000 internals.py:3588(<listcomp>)
3 0.000 0.000 0.000 0.000 {method 'clear_mapping' of 'pandas._libs.index.IndexEngine' objects}
1 0.000 0.000 0.000 0.000 codecs.py:259(__init__)
1 0.000 0.000 0.000 0.000 __init__.py:384(__init__)
1 0.000 0.000 0.000 0.000 traitlets.py:526(get)
3 0.000 0.000 0.000 0.000 argparse.py:591(<listcomp>)
1 0.000 0.000 0.000 0.000 builtin_trap.py:39(__enter__)
1 0.000 0.000 0.000 0.000 iostream.py:309(closed)
1 0.000 0.000 0.000 0.000 config.py:786(inner)
1 0.000 0.000 0.000 0.000 common.py:1655(is_complex_dtype)
1 0.000 0.000 0.000 0.000 base.py:1712(contains)
3 0.000 0.000 0.000 0.000 base.py:4242(_validate_join_method)
1 0.000 0.000 0.000 0.000 indexing.py:1548(_get_partial_string_timestamp_match_key)
3 0.000 0.000 0.000 0.000 internals.py:705(_try_coerce_result)
6 0.000 0.000 0.000 0.000 internals.py:1313(<lambda>)
1 0.000 0.000 0.000 0.000 {method 'index' of 'list' objects}
10 0.000 0.000 0.000 0.000 {method 'bit_length' of 'int' objects}
1 0.000 0.000 0.000 0.000 __init__.py:867(clear)
1 0.000 0.000 0.000 0.000 argparse.py:1722(<listcomp>)
1 0.000 0.000 0.000 0.000 syspathcontext.py:45(__init__)
1 0.000 0.000 0.000 0.000 base.py:563(__array__)
1 0.000 0.000 0.000 0.000 base.py:861(_formatter_func)
3 0.000 0.000 0.000 0.000 numeric.py:151(inferred_type)
1 0.000 0.000 0.000 0.000 __init__.py:880(__enter__)
1 0.000 0.000 0.000 0.000 __init__.py:868(setFormatter)
1 0.000 0.000 0.000 0.000 __init__.py:1836(getLogger)
1 0.000 0.000 0.000 0.000 argparse.py:1207(__init__)
1 0.000 0.000 0.000 0.000 base.py:851(_format_space)
1 0.000 0.000 0.000 0.000 {built-in method _heapq.heapify}
1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects}
3 0.000 0.000 0.000 0.000 {method 'reverse' of 'list' objects}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment