You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Traceback (most recent call last):
File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/u4/jimmylin/pyserini/pyserini/search/lucene/ltr/__main__.py", line 291, in <module>
batch_info = searcher.search(dev, queries)
File "/u4/jimmylin/pyserini/pyserini/search/lucene/ltr/_search_msmarco.py", line 243, in search
for dev_extracted in self.batch_extract(dev, queries, self.fe):
File "/u4/jimmylin/pyserini/pyserini/search/lucene/ltr/_search_msmarco.py", line 208, in batch_extract
print(group.mean())
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/frame.py", line 11338, in mean
result = super().mean(axis, skipna, numeric_only, **kwargs)
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/generic.py", line 11969, in mean
return self._stat_function(
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/generic.py", line 11926, in _stat_function
return self._reduce(
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/frame.py", line 11207, in _reduce
res = df._mgr.reduce(blk_func)
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/internals/managers.py", line 1459, in reduce
nbs = blk.reduce(func)
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/internals/blocks.py", line 377, in reduce
result = func(self.values)
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/frame.py", line 11139, in blk_func
return op(values, axis=axis, skipna=skipna, **kwds)
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/nanops.py", line 147, in f
result = alt(values, axis=axis, skipna=skipna, **kwds)
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/nanops.py", line 404, in new_func
result = func(values, axis=axis, skipna=skipna, mask=mask, **kwargs)
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/nanops.py", line 720, in nanmean
the_sum = _ensure_numeric(the_sum)
File "/u4/jimmylin/virtualenv/pyserini-dev/lib/python3.10/site-packages/pandas/core/nanops.py", line 1678, in _ensure_numeric
raise TypeError(f"Could not convert {x} to numeric")
TypeError: Could not convert ['1000000100000410000061000017100003010000831000097100013100017010002010002321000272100031910004591000461000472100050910005191000574100058510006191000678100068110007981000864100090610009511000959100110810012791001381100139710014541001810100190310019261001981100199910020581002145100214810021971002238100225210022741002330100242610024821002501002554100258410025851002596100271610027371002887100288910029381002940100299710030031003006100301510030710031141003210100321310032391003277100329910033191003329100333410033511003359100344510034811003482100350710035571003561100359010036031003641003695100383110038491003875100388010038841003973100399710041671004191100419910042281004233100424010042431004254100425810043221004493100492110049401004949100511310051311005163100519110054751005476100550010055201005586100559510056531005678100579810058881005907100594910060001006161006199100645910064891006509100657810065801006611006751100679110068521006911100692210069871007242100738210074731007550100760610076281007673100769110076961007875100793410079591007972100820810085151008516100883010089111008947100895110089681008977100897910090231009109100918310092371009388100952710096101009668100969510097241009742100974910099591009961100999410100481010057101005910101511010173101027710102871010524101052710105371010607101061510106701010700101100310110181011021101104410111201011140101116610112481011328101138110113821011512101152910116181011663101171310117211011811101186010119251012026101232810123291012431101246410125471012780101286510128661013114101322910132671013304101336710134241013492101357010135791013592101361510137971013965101411510141311014132101421010142421014264101451101469710148841014885101491110150551015307101534710155561015641101571015766101601310160151016154101625410162811016406101646010165471016565101658310166111016676101670310167901016869101687910169151016943101720410172761017348101747610174981017524101752910175371017605101768710176921017706101773410177731017775101783010178921017952101796610179711018032101805610183591018525101865810188071018918101917910192001019236101926210193561019405101941410194331019470101960210196491019705101972410197831019787101983010201981020244102037610205102050010207101020724102090710209151020999102105310210651021170102124110212771021318102132410213271021446102153210215541021605102163910216791021682102169510217971021900102190710219311021971102202210221241022132102217810221981022359102237010224101022442102257710226201022621102263010227121022735102276210227691022782102283210229071022911102302510231111023363102378210238381023850102403410240691024166102417610242211024288102430010243051024312102452810245911024592102459910246671024669102467210247271024835102489310249041024950102506102518810252591025270102529010253481025483102562410257141025801102589510259911026098102614810262581026271026372102641026711102676810267751026789102679910269510269911027178102720910273731027610276501027669102778510278121027817102786510279191028098102813110281791028538102855510285981028608102865210286701028711102874210287521028753102875510287961029003102901610290301029031102905810291241029181102929110294021029492102954410295521029617102968110296941029772102979110299081029909103017610302151030230103027110303241030378103038110303881030446103045110306171030623103072210308231030924103103210310331031047103105410311181031173103121031240103125103145610315021031580103167910316821031684103186110319091031910103197610319991032011103201910320741032156103218210321981032281103234110327581032822103300710330921033205103324910332501033296103339810334431033534103358010336521033703103371810337251033759103391210339271033962103403910340501034136103417210342041034409103444610345871034595103466610346791034680103470310347611034839103484510350061035078103509810352281035247103527810353211035367103537910353831035410103553510357191035805103586110358741035931103600210360051036214103624410363801036385103654210366271036656103667510367821036784103680010369991037033103710410371161037188103725010373021037341103737310374071037662103768610376891037722103778110378171037826103787210378811038161103818410385271038592103867810386851038719103872410387551038830103884910388591038871103887910390021039052103919510392981039346103936110394951039521103958610397281039746104002210400301040038104006410400821040088104009910402381040312104035310404091040461104050710405321040684104069410407031040793104084810409591041043104105010411461041159104122610414731041520104170310417141041753104192410419481041951104209910421581042364104239910424261042488104250710426261042676104275210428001042901042978104306410433371043413104354510435681043587104365810437021043815104391410439551043969104399510440411044244104424910447551044809104507110450721045135104520310452081045227104522910453471045374104549410455271045540104555410455671045709104571710458261045853104585510460421046047104609310461611046384104638710464631046475104652010465671046569104664810467361046750104693110469521046969104701010470121047088104713810471521047160104716210472691047365104738610475481047556104759210475991047625104762910476421047662104770010477021047708104773810477941047833104784310478541047913104791710479871048185104828110482821048303104835910483611048363104837710483811048565104858510486421048876104891710489951049085104920010492211049329104936810494561049484104976710497741049791104986710498941049926104995510500071050033105023110502531050275105067010506951050747105077810508571050923105109510511081051112105121110512141051223105122910512571051279105128510513071051339105135210513721051422105147510515201051530105157110517231051755105180810518861051902105194210519431051990105208910521151052274105241410524211052427105256310525851052610105261510526401052717105294810529651052985105311110532191053253105361110537161053896105390110539311053992105399710540231054071105418610541891054328105433910544381054440105445010544511054468105459310545951054610105470710549231054958105496910549991055125105517610551971055351105549105550510557171055889105592110559401056057105606010561591056163105621110562651056303105640510564201056437105644610564821056548105658010566441056726105674210567581056850105695010570071057015105709105709810571121057139105716810572511057270105733410573671057446105747610574881057539105763110576561057708105775710579371057996105803610581001058140105814110581421058165105818210582711058284105832510584151058425105844210584701058515105860110586041058717105879210588221058853105888510589521058978105904510590771059253105928710594201059421105944210594961059504105960110596191059646105969810598011059820105997010600391060040106030510603421060391106046210604961060566106061610606231060795106086810608811061167106121010612371061251061324106138210614721061762106199410621901062223106223310623321062334106235010624571062511106258910626031062609106268710627441062784106292810629611063177106334910633711063461106347810636071063644106365910637021063709106375810637651063777106389210639741064140106415510641951064206'] to numeric
Traceback (most recent call last):
File "/u4/jimmylin/pyserini/tools/scripts/msmarco/msmarco_passage_eval.py", line 184, in <module>
main()
File "/u4/jimmylin/pyserini/tools/scripts/msmarco/msmarco_passage_eval.py", line 173, in main
metrics = compute_metrics_from_files(path_to_reference, path_to_candidate)
File "/u4/jimmylin/pyserini/tools/scripts/msmarco/msmarco_passage_eval.py", line 158, in compute_metrics_from_files
qids_to_ranked_candidate_passages = load_candidate(path_to_candidate)
File "/u4/jimmylin/pyserini/tools/scripts/msmarco/msmarco_passage_eval.py", line 75, in load_candidate
with open(path_to_candidate,'r') as f:
FileNotFoundError: [Errno 2] No such file or directory: 'ltr_test/run.ltr.msmarco-passage.test.tsv'
The critical line is:
File "/u4/jimmylin/pyserini/pyserini/search/lucene/ltr/_search_msmarco.py", line 208, in batch_extract
print(group.mean())
I believe this error had been there all along, but somehow it was being swallowed and ignored before, whereas (because of updated version of underlying library?) the error is manifested now.
Commenting out the above line appears to fix the problem.
For sparse, these were the failures:
Traceback (most recent call last):
File "/u4/jimmylin/pyserini/./scripts/classifier_prf/rank_trec_covid.py", line 315, in <module>
rank(args.new_qrels, args.base, args.tmp_base, args.qrels, args.index, R, args.output, args.alpha, args.clf, args.vectorizer, args.tag)
File "/u4/jimmylin/pyserini/./scripts/classifier_prf/rank_trec_covid.py", line 286, in rank
map_score,ndcg_score = evaluate(new_qrels, output_path)
File "/u4/jimmylin/pyserini/./scripts/classifier_prf/rank_trec_covid.py", line 204, in evaluate
ndcg_score = str(subprocess.check_output(cmd1, shell=True)).split('\\t')[-1].split('\\n')[0]
File "/usr/lib/python3.10/subprocess.py", line 421, in check_output
return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
File "/usr/lib/python3.10/subprocess.py", line 526, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '../anserini/tools/eval/trec_eval.9.0.4/trec_eval -c -M1000 -m all_trec ./tools/topics-and-qrels/qrels.covid-round5.txt integrations/tmp5548/runs/covidex.r5.d2q.1s.lr.tfidf.R12.A0.6.txt | grep 'ndcg_cut_20 '' returned non-zero exit status 1.
E
======================================================================
ERROR: test_cross_validation (test_clprf.TestSearchIntegration)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/u4/jimmylin/pyserini/integrations/clprf/test_clprf.py", line 108, in test_cross_validation
score = parse_score(stdout, 'map')
File "/u4/jimmylin/pyserini/integrations/utils.py", line 49, in parse_score
while 'Results' not in lines[0]:
IndexError: list index out of range
======================================================================
ERROR: test_bm25 (test_trec_covid_r3.TestSearchIntegration)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/u4/jimmylin/pyserini/integrations/clprf/test_trec_covid_r3.py", line 75, in test_bm25
with open(f'{self.tmp}/output.json') as json_file:
FileNotFoundError: [Errno 2] No such file or directory: './integrations/tmp2200/output.json'
======================================================================
ERROR: test_bm25 (test_trec_covid_r4.TestSearchIntegration)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/u4/jimmylin/pyserini/integrations/clprf/test_trec_covid_r4.py", line 81, in test_bm25
with open(f'{self.tmp}/output.json') as json_file:
FileNotFoundError: [Errno 2] No such file or directory: './integrations/tmp6202/output.json'
======================================================================
ERROR: test_round5 (test_trec_covid_r5.TestSearchIntegration)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/u4/jimmylin/pyserini/integrations/clprf/test_trec_covid_r5.py", line 83, in test_round5
with open(f'{self.tmp}/output.json') as json_file:
FileNotFoundError: [Errno 2] No such file or directory: './integrations/tmp5548/output.json'
----------------------------------------------------------------------
Ran 44 tests in 30207.120s
FAILED (errors=4)
For the first error, ../anserini/tools/ wasn't checked out/compiled. (We should change path.)
The remaining errors were flaky tests, network issues while downloading.
The text was updated successfully, but these errors were encountered:
At d8dc5b3 setting new env on
linux.cs
:Running integrations:
dense
andpapers
pass fine; getting failures forsparse
andclprf
.Failures for
sparse
:For
sparse
, these were the failures:To reproduce:
More detailed error trace:
The critical line is:
I believe this error had been there all along, but somehow it was being swallowed and ignored before, whereas (because of updated version of underlying library?) the error is manifested now.
Commenting out the above line appears to fix the problem.
For
sparse
, these were the failures:To reproduce:
For the first error,
../anserini/tools/
wasn't checked out/compiled. (We should change path.)The remaining errors were flaky tests, network issues while downloading.
The text was updated successfully, but these errors were encountered: