The shell being used is:  /bin/bash
Running pipeline...
Running the pipeline with manual routes.
Elaborating compound: Cn1ncc(NC(=O)CC#N)c1NC(=O)C1CCCO1
┌──────────────────────────────────────────────────────────────────────────────┐
│                                 PyRosetta-4                                  │
│              Created in JHU by Sergey Lyskov and PyRosetta Team              │
│              (C) Copyright Rosetta Commons Member Institutions               │
│                                                                              │
│ NOTE: USE OF PyRosetta FOR COMMERCIAL PURPOSES REQUIRE PURCHASE OF A LICENSE │
│         See LICENSE.PyRosetta.md or email license@uw.edu for details         │
└──────────────────────────────────────────────────────────────────────────────┘
PyRosetta-4 2024 [Rosetta PyRosetta4.conda.linux.cxx11thread.serialization.CentOS.python312.Release 2024.16+release.bc4dfa1b240a4138da057c7de791d08506956c8d 2024-04-16T10:39:11] retrieved from: http://www.pyrosetta.org
Step 1 in this route using Amidation
Looking for analogue library .pkl.gz if already created...
Found /opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/tests/profiling/outputs/LXINEYASRREWNB-UHFFFAOYSA-N/extra/LXINEYASRREWNB-UHFFFAOYSA-N_Amidation_r1_1of3.pkl.gz as the analogue library .pkl from previous step.
Removing chirality from analogues...
Removing repeat analogues...
Removed 0 invalid or repeated molecules (0.0%) of r1 analogues.
Checking if analogues contain SMARTS pattern of original reactant...
Checking if analogues contain SMARTS pattern of other reactant...
Saving r1 analogue library to /opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/tests/profiling/outputs/LXINEYASRREWNB-UHFFFAOYSA-N/extra/LXINEYASRREWNB-UHFFFAOYSA-N_Amidation_r1_1of3.pkl.gz 

Looking for analogue library .pkl.gz if already created...
Found /opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/tests/profiling/outputs/LXINEYASRREWNB-UHFFFAOYSA-N/extra/LXINEYASRREWNB-UHFFFAOYSA-N_Amidation_r2_1of3.pkl.gz as the analogue library .pkl from previous step.
Removing chirality from analogues...
Removing repeat analogues...
Removed 0 invalid or repeated molecules (0.0%) of r2 analogues.
Checking if analogues contain SMARTS pattern of original reactant...
Checking if analogues contain SMARTS pattern of other reactant...
Saving r2 analogue library to /opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/tests/profiling/outputs/LXINEYASRREWNB-UHFFFAOYSA-N/extra/LXINEYASRREWNB-UHFFFAOYSA-N_Amidation_r2_1of3.pkl.gz 

Filtering analogues of reactants on SMARTS...
Filtered 100 rows (36.5%) from r1 dataframe.
Ordering analogues of r1 before finding products...
Filtering analogues of reactants on SMARTS...
Filtered 2 rows (20.0%) from r2 dataframe.
Ordering analogues of r2 before finding products...
Adding metadata to products...
Since these products are not the final products they will be saved in the /extra folder. 

Saving products to /opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/tests/profiling/outputs/LXINEYASRREWNB-UHFFFAOYSA-N/extra/LXINEYASRREWNB-UHFFFAOYSA-N_Amidation_products_1of3.pkl.gz 

Step 2 in this route using N-Boc_deprotection
Since this is an internal or final step looking for the products .pkl from previous step...
Found /opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/tests/profiling/outputs/LXINEYASRREWNB-UHFFFAOYSA-N/extra/LXINEYASRREWNB-UHFFFAOYSA-N_Amidation_products_1of3.pkl.gz as the products .pkl from previous step.
Removing chirality from analogues...
Removing repeat analogues...
Removed 0 invalid or repeated molecules (0.0%) of r1 analogues.
Checking if analogues contain SMARTS pattern of original reactant...
Saving r1 analogue library to /opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/tests/profiling/outputs/LXINEYASRREWNB-UHFFFAOYSA-N/extra/LXINEYASRREWNB-UHFFFAOYSA-N_N-Boc_deprotection_r1_2of3.pkl.gz 

Filtering analogues of reactants on SMARTS...
Filtered 0 rows (0.0%) from r1 dataframe.
Ordering analogues of r1 before finding products...
Adding metadata to products...
Found 1448 unique products.
Since these products are not the final products they will be saved in the /extra folder. 

Saving products to /opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/tests/profiling/outputs/LXINEYASRREWNB-UHFFFAOYSA-N/extra/LXINEYASRREWNB-UHFFFAOYSA-N_N-Boc_deprotection_products_2of3.pkl.gz 

Step 3 in this route using Amidation
Since this is an internal or final step looking for the products .pkl from previous step...
Running superstructure search for N#CCC(=O)O. Only searching for building blocks.
An error occurred in the route elaboration: 403 Client Error: Forbidden for url: https://api.postera.ai/api/v1/superstructure/
Traceback (most recent call last):
  File "/opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/cobblers_workshop/CobblersWorkshop.py", line 64, in get_final_library
    current_library = cobbler_bench.find_analogues()
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/cobblers_workshop/CobblerBench.py", line 85, in find_analogues
    self.library.create_library()
  File "/opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/cobblers_workshop/Library.py", line 58, in create_library
    df, analogue_columns = self.process_reactant(reactant, reactant_smarts, analogue_prefix)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/cobblers_workshop/Library.py", line 75, in process_reactant
    analogues_full: Dict[str, float] = postera_search.perform_database_search(reactant)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/Postera.py", line 40, in perform_database_search
    hits: List[Tuple[str, float]] = self.perform_superstructure_search(smiles)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/Postera.py", line 54, in perform_superstructure_search
    superstructure_hits: List[Dict] = Postera.get_search_results(
                                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/Postera.py", line 167, in get_search_results
    response = Postera.get_resp_json(url, api_key, data)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/xchem-fragalysis-2/kfieseler/syndirella/syndirella/Postera.py", line 110, in get_resp_json
    response.raise_for_status()
  File "/opt/xchem-fragalysis-2/kfieseler/conda/envs/syndirella/lib/python3.12/site-packages/requests/models.py", line 1021, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://api.postera.ai/api/v1/superstructure/

Could not get the final library for compound Cn1ncc(NC(=O)CC#N)c1NC(=O)C1CCCO1. Skipping...
Finished elaborating compound Cn1ncc(NC(=O)CC#N)c1NC(=O)C1CCCO1 after 0:00:22.227829

Pipeline complete.
Done!
         12118318 function calls (11917242 primitive calls) in 22.236 seconds

   Ordered by: internal time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
  3183329    8.241    0.000    8.241    0.000 __init__.py:33(FingerprintSimilarity)
     31/1    1.295    0.042    1.614    1.614 {built-in method time.sleep}
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       25    0.401    0.016    1.925    0.077 {method 'poll' of 'select.poll' objects}
1863190/1837252    0.375    0.000    0.605    0.000 {built-in method builtins.isinstance}
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        2    0.189    0.094    0.189    0.094 {method 'read' of '_ssl._SSLSocket' objects}
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        2    0.055    0.027    3.215    1.608 SlipperSynthesizer.py:480(assign_names_based_on_groups)
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     4232    0.045    0.000    2.644    0.001 series.py:1261(__setitem__)
    22089    0.045    0.000    0.144    0.000 take.py:564(_take_preprocess_indexer_and_fill_value)
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     8805    0.039    0.000    0.051    0.000 managers.py:1012(iget)
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    22089    0.037    0.000    0.336    0.000 take.py:59(take_nd)
        3    0.037    0.012    0.037    0.012 Library.py:135(check_analogue_contains_smarts_pattern)
       23    0.035    0.002    0.035    0.002 {built-in method _io.open}
    25799    0.035    0.000    0.086    0.000 config.py:127(_get_single_key)
     1732    0.035    0.000    0.166    0.000 Fairy.py:199(_remove_chirality_from_mol)
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        1    0.000    0.000    0.000    0.000 ssl.py:1087(_check_connected)
        1    0.000    0.000    0.000    0.000 fromnumeric.py:3104(_cumprod_dispatcher)
        1    0.000    0.000    0.000    0.000 traceback.py:673(<lambda>)
        1    0.000    0.000    0.000    0.000 base_pool.py:41(__enter__)
        1    0.000    0.000    0.000    0.000 SlipperFitter.py:188(<lambda>)
        1    0.000    0.000    0.000    0.000 models.py:216(<genexpr>)
        1    0.000    0.000    0.000    0.000 multiarray.py:85(empty_like)
        1    0.000    0.000    0.000    0.000 sessions.py:453(__enter__)





         12118318 function calls (11917242 primitive calls) in 22.236 seconds

   Ordered by: cumulative time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1    0.000    0.000   19.989   19.989 pipeline.py:89(_elaborate_from_cobbler_workshops)
        1    0.001    0.001   19.988   19.988 CobblersWorkshop.py:44(get_final_library)
        2    0.000    0.000   14.869    7.434 Slipper.py:49(get_products)
        2    0.000    0.000   14.482    7.241 SlipperSynthesizer.py:50(get_products)
        2    0.000    0.000   10.186    5.093 SlipperSynthesizer.py:499(add_metadata)
  3183329    8.241    0.000    8.241    0.000 __init__.py:33(FingerprintSimilarity)
        1    0.000    0.000    7.436    7.436 SlipperSynthesizer.py:252(find_products_from_reactants)
        1    0.001    0.001    7.020    7.020 SlipperSynthesizer.py:276(get_products_from_single_reactant)
        2    0.664    0.332    6.174    3.087 SlipperSynthesizer.py:424(find_similarity_groups)
        3    0.000    0.000    5.108    1.703 CobblerBench.py:69(find_analogues)
        3    0.000    0.000    5.099    1.700 Library.py:50(create_library)
        4    0.004    0.001    5.099    1.275 Library.py:63(process_reactant)
        8    0.000    0.000    4.352    0.544 frame.py:10170(apply)
        8    0.004    0.001    4.352    0.544 apply.py:864(apply)
        8    0.000    0.000    4.347    0.543 apply.py:1061(apply_standard)
        8    0.109    0.014    4.132    0.517 apply.py:1070(apply_series_generator)
        3    0.372    0.124    3.873    1.291 Library.py:88(process_analogues)
     7128    0.059    0.000    3.424    0.000 indexing.py:882(__setitem__)
        3    0.437    0.146    3.290    1.097 Fairy.py:168(remove_repeat_mols)
        2    0.055    0.027    3.215    1.608 SlipperSynthesizer.py:480(assign_names_based_on_groups)
       17    0.000    0.000    3.074    0.181 process.py:222(process_next_message)
       17    0.000    0.000    3.072    0.181 process.py:357(receive)
       17    0.000    0.000    3.071    0.181 channel.py:46(unix_poll)
     7128    0.045    0.000    2.706    0.000 indexing.py:1785(_setitem_with_indexer)
     4232    0.045    0.000    2.644    0.001 series.py:1261(__setitem__)
     1392    0.292    0.000    2.101    0.002 SlipperSynthesizer.py:336(apply_reaction)
        1    0.000    0.000    2.035    2.035 SlipperFitter.py:191(_place_base)
     4232    0.123    0.000    1.963    0.000 indexing.py:2221(_setitem_with_indexer_missing)
       25    0.401    0.016    1.925    0.077 {method 'poll' of 'select.poll' objects}
        1    0.000    0.000    1.808    1.808 _place.py:79(place)
        1    0.000    0.000    1.806    1.806 _base.py:224(__call__)
        1    0.000    0.000    1.786    1.786 base_pool.py:44(__exit__)
      2/1    0.000    0.000    1.786    1.786 base_pool.py:65(join)
        1    0.000    0.000    1.786    1.786 process.py:80(_stop_pool)
     1448    0.473    0.000    1.692    0.001 SlipperSynthesizer.py:299(apply_reaction_single)
        3    0.000    0.000    1.620    0.540 threading.py:1115(join)
        3    0.000    0.000    1.620    0.540 threading.py:1153(_wait_for_tstate_lock)
    57/32    0.000    0.000    1.620    0.051 {method 'acquire' of '_thread.lock' objects}
      3/1    0.000    0.000    1.619    1.619 threading.py:1016(_bootstrap)
      3/1    0.005    0.002    1.619    1.619 threading.py:1056(_bootstrap_inner)
      3/1    0.000    0.000    1.614    1.614 threading.py:999(run)
        1    0.000    0.000    1.614    1.614 process.py:176(pool_manager_loop)
     31/1    1.295    0.042    1.614    1.614 {built-in method time.sleep}
        1    0.000    0.000    1.589    1.589 process.py:187(message_manager_loop)
17235/17225    0.181    0.000    1.314    0.000 series.py:389(__init__)
     8808    0.034    0.000    1.106    0.000 frame.py:4062(__getitem__)
        7    0.000    0.000    0.955    0.136 _decorators.py:325(wrapper)
     2910    0.013    0.000    0.871    0.000 frame.py:4130(_getitem_bool_array)
        5    0.000    0.000    0.744    0.149 generic.py:3100(to_pickle)
        5    0.000    0.000    0.744    0.149 pickle.py:33(to_pickle)
        1    0.000    0.000    0.706    0.706 Postera.py:30(perform_database_search)
        1    0.000    0.000    0.706    0.706 Postera.py:46(perform_superstructure_search)
        1    0.000    0.000    0.706    0.706 Postera.py:151(get_search_results)
        1    0.000    0.000    0.706    0.706 Postera.py:82(get_resp_json)
        1    0.000    0.000    0.706    0.706 api.py:103(post)
        1    0.000    0.000    0.706    0.706 api.py:14(request)
        1    0.000    0.000    0.705    0.705 sessions.py:502(request)
        1    0.000    0.000    0.702    0.702 sessions.py:673(send)
        1    0.000    0.000    0.701    0.701 adapters.py:434(send)
        1    0.000    0.000    0.700    0.700 connectionpool.py:598(urlopen)
        1    0.000    0.000    0.700    0.700 connectionpool.py:380(_make_request)
       21    0.000    0.000    0.688    0.033 series.py:4789(apply)
       21    0.000    0.000    0.687    0.033 apply.py:1409(apply)
       21    0.000    0.000    0.687    0.033 apply.py:1482(apply_standard)
        5    0.229    0.046    0.684    0.137 {built-in method _pickle.dump}
       23    0.000    0.000    0.684    0.030 base.py:891(_map_values)
       23    0.007    0.000    0.684    0.030 algorithms.py:1667(map_array)
        2    0.000    0.000    0.681    0.341 SlipperSynthesizer.py:417(calculate_fingerprints)
     5810    0.008    0.000    0.663    0.000 common.py:62(new_method)
     2906    0.009    0.000    0.662    0.000 generic.py:4142(_take_with_is_copy)
     2896    0.014    0.000    0.647    0.000 indexing.py:1946(_setitem_with_indexer_split_path)
     5794    0.006    0.000    0.640    0.000 arraylike.py:38(__eq__)
     5798    0.019    0.000    0.635    0.000 series.py:6110(_cmp_method)
     2908    0.017    0.000    0.629    0.000 generic.py:4027(take)
1863190/1837252    0.375    0.000    0.605    0.000 {built-in method builtins.isinstance}
     7128    0.032    0.000    0.594    0.000 indexing.py:744(_get_setitem_indexer)
     2896    0.027    0.000    0.586    0.000 indexing.py:2111(_setitem_single_column)
4287/4286    0.053    0.000    0.574    0.000 base.py:6956(insert)
     2913    0.011    0.000    0.572    0.000 managers.py:869(take)
    22080    0.131    0.000    0.548    0.000 construction.py:517(sanitize_array)
    10024    0.041    0.000    0.512    0.000 indexing.py:1452(_convert_to_indexer)
        1    0.000    0.000    0.509    0.509 connectionpool.py:1091(_validate_conn)
        1    0.000    0.000    0.509    0.509 connection.py:614(connect)
      146    0.000    0.000    0.455    0.003 gzip.py:129(write)
      146    0.001    0.000    0.455    0.003 gzip.py:302(_write_raw)
      146    0.001    0.000    0.455    0.003 gzip.py:291(write)
  342/200    0.000    0.000    0.453    0.002 {method 'write' of '_io.BufferedWriter' objects}
     3117    0.031    0.000    0.453    0.000 managers.py:623(reindex_indexer)
      146    0.450    0.003    0.450    0.003 {method 'compress' of 'zlib.Compress' objects}
     5810    0.022    0.000    0.449    0.000 series.py:6201(_construct_result)
     2896    0.438    0.000    0.443    0.000 SlipperSynthesizer.py:419(<lambda>)
     5992    0.016    0.000    0.443    0.000 indexing.py:1176(__getitem__)
    22053    0.039    0.000    0.402    0.000 blocks.py:1287(take_nd)
        2    0.000    0.000    0.387    0.193 SlipperSynthesizer.py:554(save_products)
    28700    0.285    0.000    0.375    0.000 base.py:3777(get_loc)
        3    0.000    0.000    0.363    0.121 Library.py:267(save_library)
     4301    0.033    0.000    0.351    0.000 base.py:674(_with_infer)
     5919    0.023    0.000    0.339    0.000 frame.py:3983(_ixs)
    22089    0.037    0.000    0.336    0.000 take.py:59(take_nd)
        1    0.000    0.000    0.335    0.335 connection.py:732(_ssl_wrap_socket_and_match_hostname)
     2928    0.333    0.000    0.333    0.000 SlipperSynthesizer.py:376(can_be_sanitized)
        1    0.000    0.000    0.333    0.333 ssl_.py:392(ssl_wrap_socket)
     4642    0.027    0.000    0.332    0.000 base.py:3820(get_indexer)
     4744    0.045    0.000    0.328    0.000 base.py:475(__new__)
     5801    0.022    0.000    0.325    0.000 indexing.py:1719(_getitem_axis)
        1    0.000    0.000    0.324    0.324 ssl_.py:493(_ssl_wrap_socket_impl)
        1    0.000    0.000    0.324    0.324 ssl.py:449(wrap_socket)
        1    0.000    0.000    0.324    0.324 ssl.py:956(_create)
        1    0.000    0.000    0.324    0.324 ssl.py:1313(do_handshake)
        1    0.324    0.324    0.324    0.324 {method 'do_handshake' of '_ssl._SSLSocket' objects}
    59982    0.176    0.000    0.319    0.000 generic.py:6301(__setattr__)
     5815    0.014    0.000    0.313    0.000 indexing.py:2632(check_bool_indexer)
     2900    0.009    0.000    0.293    0.000 generic.py:6432(dtypes)
    22089    0.097    0.000    0.292    0.000 take.py:120(_take_nd_ndarray)
651809/487122    0.149    0.000    0.245    0.000 {built-in method builtins.len}
     2896    0.010    0.000    0.242    0.000 indexing.py:985(_convert_tuple)
     5815    0.026    0.000    0.234    0.000 utils.py:419(check_array_indexer)
     5792    0.023    0.000    0.234    0.000 managers.py:1298(column_setitem)
     2896    0.168    0.000    0.230    0.000 SlipperSynthesizer.py:421(<lambda>)
       24    0.000    0.000    0.228    0.010 frame.py:694(__init__)
        1    0.000    0.000    0.227    0.227 container.py:415(__call__)
        1    0.000    0.000    0.227    0.227 container.py:285(validate)
        1    0.000    0.000    0.227    0.227 container.py:385(_validate)
        1    0.000    0.000    0.227    0.227 container.py:40(validate)
        1    0.000    0.000    0.224    0.224 container.py:126(run_checks_and_handle_errors)
        1    0.000    0.000    0.224    0.224 container.py:184(run_schema_component_checks)
        3    0.000    0.000    0.224    0.075 components.py:142(validate)
        3    0.000    0.000    0.224    0.075 components.py:35(validate)
        3    0.000    0.000    0.223    0.074 components.py:68(validate_column)
       16    0.004    0.000    0.223    0.014 construction.py:423(dict_to_mgr)
        3    0.000    0.000    0.223    0.074 array.py:37(validate)
        3    0.000    0.000    0.223    0.074 array.py:100(run_checks_and_handle_errors)
     11/8    0.000    0.000    0.219    0.027 <frozen importlib._bootstrap>:1349(_find_and_load)
     11/8    0.000    0.000    0.219    0.027 <frozen importlib._bootstrap>:1304(_find_and_load_unlocked)
        3    0.000    0.000    0.215    0.072 array.py:287(check_dtype)
        8    0.000    0.000    0.215    0.027 apply.py:1102(wrap_results)
        3    0.000    0.000    0.213    0.071 apply.py:1337(wrap_results_for_axis)
        4    0.000    0.000    0.213    0.053 <frozen importlib._bootstrap>:911(_load_unlocked)
        2    0.000    0.000    0.213    0.106 apply.py:1358(infer_to_same_shape)
        4    0.000    0.000    0.213    0.053 <frozen importlib._bootstrap_external>:989(exec_module)
       15    0.213    0.014    0.213    0.014 {method '__exit__' of '_io._IOBase' objects}
        4    0.000    0.000    0.212    0.053 <frozen importlib._bootstrap_external>:1062(get_code)
        2    0.000    0.000    0.211    0.106 frame.py:1204(__repr__)
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        2    0.000    0.000    0.211    0.105 format.py:939(to_string)
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   236915    0.090    0.000    0.200    0.000 generic.py:42(_instancecheck)
       19    0.000    0.000    0.199    0.010 construction.py:96(arrays_to_mgr)
82613/76797    0.051    0.000    0.195    0.000 {built-in method numpy.asarray}
        1    0.000    0.000    0.190    0.190 connection.py:440(getresponse)
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        1    0.000    0.000    0.175    0.175 connection.py:27(create_connection)
     2906    0.080    0.000    0.169    0.000 managers.py:958(fast_xs)
     7352    0.019    0.000    0.167    0.000 series.py:1095(__getitem__)
        3    0.001    0.000    0.167    0.056 Fairy.py:207(remove_chirality)
     1732    0.035    0.000    0.166    0.000 Fairy.py:199(_remove_chirality_from_mol)
    17225    0.051    0.000    0.166    0.000 managers.py:1863(from_array)
     5714    0.012    0.000    0.162    0.000 generic.py:6662(copy)
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     4646    0.010    0.000    0.152    0.000 base.py:6394(_should_compare)
       19    0.008    0.000    0.147    0.008 construction.py:596(_homogenize)
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     4286    0.064    0.000    0.142    0.000 function_base.py:5369(insert)
     8646    0.032    0.000    0.141    0.000 managers.py:317(apply)
34758/31915    0.023    0.000    0.140    0.000 {built-in method builtins.all}
     5798    0.028    0.000    0.139    0.000 array_ops.py:288(comparison_op)
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     5929    0.013    0.000    0.124    0.000 frame.py:4626(_get_item_cache)
     2842    0.003    0.000    0.122    0.000 series.py:5136(reindex)
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        2    0.018    0.009    0.102    0.051 Library.py:243(_find_products_pkl_name)
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     4836    0.006    0.000    0.100    0.000 __init__.py:1660(_log)
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