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3ab0e590479fabb024937e52eab02e2311033448 | Implement a function to map chord segments to STFT blocks. | bzamecnik/tfr,bzamecnik/tfr | time_intervals.py | time_intervals.py | import pandas as pd
import numpy as np
import collections
def block_labels(df_blocks, df_labels):
'''
Given fixed-size overlapping blocks and variable-sized non-overlapping
labels select most suitable label for each block.
This can be useful eg. to assign chord labels to audio blocks.
All times are measured in samples and represented by integers.
Inputs:
- df_blocks: pandas DataFrame with columns start, end (in samples)
- df_labels: pandas DataFrame with columns start, label
Outputs:
- df_blocks: pandas DataFrame with columns start, end, label
In case multiple labels span a single block the label with most coverage is
selected.
'''
def merge_events(df_blocks, df_labels):
df_events = pd.merge(
pd.concat([df_blocks[['start']], df_blocks[['end']].rename(columns={'end': 'start'})]).drop_duplicates(),
df_labels, how='outer')
df_events.sort('start', inplace=True)
df_events.fillna(method='pad', inplace=True)
df_events['duration'] = abs(df_events['start'].diff(-1))
df_events.set_index('start', inplace=True)
return df_events.dropna()
df_events = merge_events(df_blocks, df_labels)
def label_for_block(start, end):
labels = df_events['label'].ix[start:end]
unique_labels = set(labels)
if len(unique_labels) > 1:
durations = df_events['duration'].ix[start:end]
cnt = collections.Counter()
for l, d in zip(labels, durations):
cnt[l] += d
return cnt.most_common(1)[0][0]
else:
return labels.iloc[0]
def add_labels(df_blocks):
block_labels = (label_for_block(start, end) for (i, start, end) in df_blocks.itertuples())
df_block_labels = pd.DataFrame(block_labels, columns=['label'])
return df_blocks.join(df_block_labels)
return add_labels(df_blocks)
def test():
block_size = 10
hop_size = 5
sample_count = 90
block_count = (sample_count - block_size) / hop_size
block_starts = hop_size * np.arange(block_count + 1).astype(np.int32)
block_ends = block_starts + block_size
blocks = list(zip(block_starts, block_ends))
df_blocks = pd.DataFrame(blocks, columns=['start', 'end'])
# label segment start times (the last element is the end of the last segment)
label_times = [0, 25, 38, 50, 60, 64, 68, 80, 81, 84, 89]
labels = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'H', 'N']
df_labels = pd.DataFrame({'start': label_times, 'label': labels}, columns=['start', 'label'])
df_labelled_blocks = block_labels(df_blocks, df_labels)
expected_labels = ['A','A','A','A','B','B','B','C','C','D','D','D','G','G','G','H','H']
actual_labels = list(df_labelled_blocks['label'])
for s, e, a in zip(block_starts, expected_labels, actual_labels):
print(s, e, a, '*' if e != a else '')
assert actual_labels == expected_labels
| mit | Python |
|
fbaca2f2a0ceaa77606d9c24846a1a1b045dc460 | remove deleted files from manifest | hassoon3/odoo,jesramirez/odoo,cysnake4713/odoo,OpenUpgrade-dev/OpenUpgrade,nitinitprof/odoo,jusdng/odoo,markeTIC/OCB,shingonoide/odoo,ShineFan/odoo,abstract-open-solutions/OCB,CubicERP/odoo,nagyistoce/odoo-dev-odoo,naousse/odoo,SerpentCS/odoo,feroda/odoo,colinnewell/odoo,lightcn/odoo,poljeff/odoo,syci/OCB,cpyou/odoo,factorlibre/OCB,hbrunn/OpenUpgrade,apanju/GMIO_Odoo,pedrobaeza/OpenUpgrade,guerrerocarlos/odoo,dalegregory/odoo,hanicker/odoo,osvalr/odoo,havt/odoo,kirca/OpenUpgrade,cdrooom/odoo,addition-it-solutions/project-all,arthru/OpenUpgrade,FlorianLudwig/odoo,VielSoft/odoo,kifcaliph/odoo,joshuajan/odoo,naousse/odoo,vrenaville/ngo-addons-backport,javierTerry/odoo,bguillot/OpenUpgrade,odoo-turkiye/odoo,frouty/odoogoeen,hopeall/odoo,Codefans-fan/odoo,cdrooom/odoo,cysnake4713/odoo,rschnapka/odoo,naousse/odoo,zchking/odoo,tvibliani/odoo,Elico-Corp/odoo_OCB,sysadminmatmoz/OCB,poljeff/odoo,Noviat/odoo,hip-odoo/odoo,joshuajan/odoo,tarzan0820/odoo,hmen89/odoo,rgeleta/odoo,sve-odoo/odoo,tangyiyong/odoo,Daniel-CA/odoo,OpenPymeMx/OCB,Bachaco-ve/odoo,frouty/odoo_oph,jusdng/odoo,bakhtout/odoo-educ,apocalypsebg/odoo,papouso/odoo,MarcosCommunity/odoo,Nowheresly/odoo,slevenhagen/odoo-npg,waytai/odoo,hoatle/odoo,jiachenning/odoo,PongPi/isl-odoo,shivam1111/odoo,brijeshkesariya/odoo,storm-computers/odoo,nuuuboo/odoo,florian-dacosta/OpenUpgrade,rubencabrera/odoo,takis/odoo,cloud9UG/odoo,n0m4dz/odoo,realsaiko/odoo,BT-rmartin/odoo,jfpla/odoo,patmcb/odoo,charbeljc/OCB,ThinkOpen-Solutions/odoo,ramadhane/odoo,stonegithubs/odoo,synconics/odoo,odootr/odoo,hubsaysnuaa/odoo,VielSoft/odoo,xzYue/odoo,charbeljc/OCB,bobisme/odoo,ehirt/odoo,lsinfo/odoo,ovnicraft/odoo,gdgellatly/OCB1,jaxkodex/odoo,gsmartway/odoo,ovnicraft/odoo,vnsofthe/odoo,aviciimaxwell/odoo,prospwro/odoo,ShineFan/odoo,credativUK/OCB,brijeshkesariya/odoo,ovnicraft/odoo,damdam-s/OpenUpgrade,spadae22/odoo,nagyistoce/odoo-dev-odoo,naousse/odoo,odootr/odoo,cedk/odoo,x111ong/odoo,nuuuboo/odoo,nhomar/odoo,factorlibre/OCB,markeTIC/OCB,addition-it-solutions/project-all,numerigraphe/odoo,papouso/odoo,apocalypsebg/odoo,CatsAndDogsbvba/odoo,dsfsdgsbngfggb/odoo,fgesora/odoo,cdrooom/odoo,highco-groupe/odoo,naousse/odoo,OpenUpgrade-dev/OpenUpgrade,guewen/OpenUpgrade,dsfsdgsbngfggb/odoo,savoirfairelinux/odoo,virgree/odoo,gvb/odoo,gvb/odoo,bwrsandman/OpenUpgrade,datenbetrieb/odoo,chiragjogi/odoo,CatsAndDogsbvba/odoo,Antiun/odoo,grap/OCB,mlaitinen/odoo,pedrobaeza/odoo,CatsAndDogsbvba/odoo,microcom/odoo,deKupini/erp,fossoult/odoo,oasiswork/odoo,aviciimaxwell/odoo,credativUK/OCB,srsman/odoo,christophlsa/odoo,sadleader/odoo,kybriainfotech/iSocioCRM,oasiswork/odoo,lightcn/odoo,odoo-turkiye/odoo,florian-dacosta/OpenUpgrade,dariemp/odoo,NeovaHealth/odoo,FlorianLudwig/odoo,osvalr/odoo,ovnicraft/odoo,gavin-feng/odoo,funkring/fdoo,diagramsoftware/odoo,pedrobaeza/odoo,csrocha/OpenUpgrade,Endika/OpenUpgrade,hubsaysnuaa/odoo,ccomb/OpenUpgrade,FlorianLudwig/odoo,patmcb/odoo,ApuliaSoftware/odoo,odoousers2014/odoo,KontorConsulting/odoo,rowemoore/odoo,jfpla/odoo,dalegregory/odoo,bkirui/odoo,Adel-Magebinary/odoo,shingonoide/odoo,VielSoft/odoo,kittiu/odoo,Bachaco-ve/odoo,jesramirez/odoo,cedk/odoo,Noviat/odoo,VielSoft/odoo,pplatek/odoo,hanicker/odoo,addition-it-solutions/project-all,dfang/odoo,pedrobaeza/odoo,Daniel-CA/odoo,jaxkodex/odoo,Codefans-fan/odoo,tangyiyong/odoo,jiachenning/odoo,aviciimaxwell/odoo,slevenhagen/odoo-npg,fgesora/odoo,naousse/odoo,apanju/odoo,oihane/odoo,pplatek/odoo,abstract-open-solutions/OCB,eino-makitalo/odoo,mkieszek/odoo,NeovaHealth/odoo,abstract-open-solutions/OCB,mkieszek/odoo,guewen/OpenUpgrade,demon-ru/iml-crm,joshuajan/odoo,shaufi/odoo,klunwebale/odoo,damdam-s/OpenUpgrade,VitalPet/odoo,agrista/odoo-saas,patmcb/odoo,rgeleta/odoo,jiachenning/odoo,gdgellatly/OCB1,Antiun/odoo,optima-ict/odoo,sysadminmatmoz/OCB,Eric-Zhong/odoo,OpenUpgrade/OpenUpgrade,hopeall/odoo,feroda/odoo,Endika/OpenUpgrade,makinacorpus/odoo,fevxie/odoo,datenbetrieb/odoo,joariasl/odoo,dgzurita/odoo,rschnapka/odoo,sysadminmatmoz/OCB,apocalypsebg/odoo,frouty/odoogoeen,joariasl/odoo,QianBIG/odoo,gorjuce/odoo,dfang/odoo,mlaitinen/odoo,Ichag/odoo,bobisme/odoo,jeasoft/odoo,sergio-incaser/odoo,ehirt/odoo,minhtuancn/odoo,nhomar/odoo-mirror,fuselock/odoo,slevenhagen/odoo,takis/odoo,gavin-feng/odoo,lombritz/odoo,tinkhaven-organization/odoo,fevxie/odoo,guerrerocarlos/odoo,thanhacun/odoo,bobisme/odoo,FlorianLudwig/odoo,csrocha/OpenUpgrade,savoirfairelinux/odoo,gvb/odoo,idncom/odoo,dgzurita/odoo,lsinfo/odoo,Danisan/odoo-1,spadae22/odoo,virgree/odoo,ccomb/OpenUpgrade,camptocamp/ngo-addons-backport,0k/odoo,Ernesto99/odoo,tvibliani/odoo,rowemoore/odoo,odooindia/odoo,rubencabrera/odoo,Elico-Corp/odoo_OCB,kirca/OpenUpgrade,Bachaco-ve/odoo,podemos-info/odoo,cysnake4713/odoo,nuncjo/odoo,pedrobaeza/odoo,mvaled/OpenUpgrade,Danisan/odoo-1,vnsofthe/odoo,prospwro/odoo,hip-odoo/odoo,shaufi/odoo,nhomar/odoo,thanhacun/odoo,takis/odoo,AuyaJackie/odoo,lgscofield/odoo,mmbtba/odoo,papouso/odoo,SerpentCS/odoo,jfpla/odoo,leorochael/odoo,BT-fgarbely/odoo,OSSESAC/odoopubarquiluz,kirca/OpenUpgrade,Antiun/odoo,jiangzhixiao/odoo,rahuldhote/odoo,BT-fgarbely/odoo,NeovaHealth/odoo,ChanduERP/odoo,nitinitprof/odoo,simongoffin/website_version,fdvarela/odoo8,CubicERP/odoo,inspyration/odoo,apanju/odoo,rahuldhote/odoo,laslabs/odoo,minhtuancn/odoo,nhomar/odoo,fevxie/odoo,mszewczy/odoo,OpenUpgrade-dev/OpenUpgrade,RafaelTorrealba/odoo,JGarcia-Panach/odoo,tvtsoft/odoo8,blaggacao/OpenUpgrade,Endika/OpenUpgrade,dariemp/odoo,Endika/OpenUpgrade,ojengwa/odoo,inspyration/odoo,fevxie/odoo,gsmartway/odoo,SerpentCS/odoo,credativUK/OCB,rubencabrera/odoo,frouty/odoo_oph,damdam-s/OpenUpgrade,collex100/odoo,optima-ict/odoo,storm-computers/odoo,sysadminmatmoz/OCB,kifcaliph/odoo,sebalix/OpenUpgrade,Maspear/odoo,tinkerthaler/odoo,rschnapka/odoo,numerigraphe/odoo,ApuliaSoftware/odoo,jiangzhixiao/odoo,rowemoore/odoo,prospwro/odoo,OpenUpgrade/OpenUpgrade,tvibliani/odoo,collex100/odoo,credativUK/OCB,slevenhagen/odoo,VielSoft/odoo,tvibliani/odoo,salaria/odoo,pplatek/odoo,AuyaJackie/odoo,dkubiak789/odoo,jusdng/odoo,alhashash/odoo,pedrobaeza/odoo,codekaki/odoo,bkirui/odoo,bkirui/odoo,AuyaJackie/odoo,stonegithubs/odoo,fuhongliang/odoo,kirca/OpenUpgrade,0k/OpenUpgrade,ecosoft-odoo/odoo,hoatle/odoo,fdvarela/odoo8,hifly/OpenUpgrade,realsaiko/odoo,javierTerry/odoo,blaggacao/OpenUpgrade,wangjun/odoo,elmerdpadilla/iv,dalegregory/odoo,ujjwalwahi/odoo,jfpla/odoo,avoinsystems/odoo,OpenPymeMx/OCB,makinacorpus/odoo,draugiskisprendimai/odoo,vnsofthe/odoo,BT-rmartin/odoo,thanhacun/odoo,hubsaysnuaa/odoo,christophlsa/odoo,jiangzhixiao/odoo,jeasoft/odoo,tangyiyong/odoo,vrenaville/ngo-addons-backport,hoatle/odoo,frouty/odoogoeen,addition-it-solutions/project-all,bealdav/OpenUpgrade,lgscofield/odoo,jpshort/odoo,srimai/odoo,ChanduERP/odoo,n0m4dz/odoo,fuhongliang/odoo,luiseduardohdbackup/odoo,aviciimaxwell/odoo,datenbetrieb/odoo,mustafat/odoo-1,Gitlab11/odoo,mszewczy/odoo,apocalypsebg/odoo,draugiskisprendimai/odoo,Nowheresly/odoo,glovebx/odoo,savoirfairelinux/OpenUpgrade,JCA-Developpement/Odoo,CubicERP/odoo,salaria/odoo,microcom/odoo,hassoon3/odoo,colinnewell/odoo,savoirfairelinux/odoo,gorjuce/odoo,guewen/OpenUpgrade,Ichag/odoo,fossoult/odoo,srimai/odoo,florian-dacosta/OpenUpgrade,apanju/GMIO_Odoo,doomsterinc/odoo,factorlibre/OCB,havt/odoo,florian-dacosta/OpenUpgrade,podemos-info/odoo,luistorresm/odoo,Ernesto99/odoo,havt/odoo,rubencabrera/odoo,makinacorpus/odoo,ojengwa/odoo,dalegregory/odoo,rowemoore/odoo,realsaiko/odoo,highco-groupe/odoo,damdam-s/OpenUpgrade,odooindia/odoo,tvtsoft/odoo8,stonegithubs/odoo,Endika/odoo,QianBIG/odoo,rgeleta/odoo,papouso/odoo,ccomb/OpenUpgrade,lgscofield/odoo,fuhongliang/odoo,slevenhagen/odoo-npg,grap/OCB,lgscofield/odoo,gdgellatly/OCB1,rschnapka/odoo,grap/OCB,xujb/odoo,hmen89/odoo,eino-makitalo/odoo,ubic135/odoo-design,joariasl/odoo,Danisan/odoo-1,cloud9UG/odoo,bakhtout/odoo-educ,cedk/odoo,bguillot/OpenUpgrade,Daniel-CA/odoo,cloud9UG/odoo,bkirui/odoo,OpusVL/odoo,gdgellatly/OCB1,mvaled/OpenUpgrade,odoousers2014/odoo,ChanduERP/odoo,ubic135/odoo-design,cpyou/odoo,Danisan/odoo-1,florian-dacosta/OpenUpgrade,Endika/odoo,hbrunn/OpenUpgrade,alqfahad/odoo,blaggacao/OpenUpgrade,fossoult/odoo,bguillot/OpenUpgrade,0k/odoo,mszewczy/odoo,dllsf/odootest,damdam-s/OpenUpgrade,provaleks/o8,OpenPymeMx/OCB,ccomb/OpenUpgrade,grap/OpenUpgrade,CubicERP/odoo,poljeff/odoo,ingadhoc/odoo,christophlsa/odoo,oihane/odoo,MarcosCommunity/odoo,nuuuboo/odoo,datenbetrieb/odoo,janocat/odoo,JGarcia-Panach/odoo,VitalPet/odoo,jesramirez/odoo,MarcosCommunity/odoo,BT-ojossen/odoo,hoatle/odoo,SerpentCS/odoo,minhtuancn/odoo,bwrsandman/OpenUpgrade,waytai/odoo,camptocamp/ngo-addons-backport,Nowheresly/odoo,matrixise/odoo,markeTIC/OCB,ccomb/OpenUpgrade,shaufi/odoo,x111ong/odoo,SerpentCS/odoo,sinbazhou/odoo,florentx/OpenUpgrade,nagyistoce/odoo-dev-odoo,OSSESAC/odoopubarquiluz,sadleader/odoo,thanhacun/odoo,joariasl/odoo,incaser/odoo-odoo,thanhacun/odoo,ovnicraft/odoo,frouty/odoo_oph,dllsf/odootest,funkring/fdoo,Grirrane/odoo,nuncjo/odoo,hubsaysnuaa/odoo,incaser/odoo-odoo,ihsanudin/odoo,luistorresm/odoo,avoinsystems/odoo,factorlibre/OCB,bguillot/OpenUpgrade,leorochael/odoo,papouso/odoo,RafaelTorrealba/odoo,dezynetechnologies/odoo,Endika/odoo,rubencabrera/odoo,lsinfo/odoo,savoirfairelinux/OpenUpgrade,agrista/odoo-saas,prospwro/odoo,hip-odoo/odoo,SAM-IT-SA/odoo,dkubiak789/odoo,tvtsoft/odoo8,spadae22/odoo,ramadhane/odoo,Grirrane/odoo,leorochael/odoo,sebalix/OpenUpgrade,luiseduardohdbackup/odoo,factorlibre/OCB,andreparames/odoo,Nick-OpusVL/odoo,laslabs/odoo,rgeleta/odoo,joariasl/odoo,omprakasha/odoo,slevenhagen/odoo,mlaitinen/odoo,gorjuce/odoo,tvtsoft/odoo8,sv-dev1/odoo,ihsanudin/odoo,dezynetechnologies/odoo,goliveirab/odoo,vnsofthe/odoo,Noviat/odoo,hifly/OpenUpgrade,kybriainfotech/iSocioCRM,abdellatifkarroum/odoo,pplatek/odoo,prospwro/odoo,takis/odoo,BT-astauder/odoo,alexcuellar/odoo,gavin-feng/odoo,Gitlab11/odoo,feroda/odoo,highco-groupe/odoo,srimai/odoo,erkrishna9/odoo,x111ong/odoo,slevenhagen/odoo-npg,alhashash/odoo,aviciimaxwell/odoo,jeasoft/odoo,xzYue/odoo,xujb/odoo,frouty/odoogoeen,microcom/odoo,JGarcia-Panach/odoo,leorochael/odoo,srimai/odoo,nhomar/odoo-mirror,stonegithubs/odoo,odootr/odoo,eino-makitalo/odoo,mmbtba/odoo,erkrishna9/odoo,sergio-incaser/odoo,lsinfo/odoo,jpshort/odoo,ujjwalwahi/odoo,mkieszek/odoo,tvtsoft/odoo8,Drooids/odoo,sysadminmatmoz/OCB,lombritz/odoo,ApuliaSoftware/odoo,BT-rmartin/odoo,frouty/odoo_oph,srsman/odoo,bkirui/odoo,ccomb/OpenUpgrade,wangjun/odoo,codekaki/odoo,omprakasha/odoo,jpshort/odoo,matrixise/odoo,funkring/fdoo,erkrishna9/odoo,hopeall/odoo,PongPi/isl-odoo,brijeshkesariya/odoo,Maspear/odoo,arthru/OpenUpgrade,nhomar/odoo-mirror,tinkerthaler/odoo,feroda/odoo,BT-fgarbely/odoo,grap/OpenUpgrade,hbrunn/OpenUpgrade,agrista/odoo-saas,OpusVL/odoo,dariemp/odoo,BT-ojossen/odoo,synconics/odoo,mlaitinen/odoo,leoliujie/odoo,ChanduERP/odoo,stephen144/odoo,savoirfairelinux/OpenUpgrade,nhomar/odoo,salaria/odoo,provaleks/o8,patmcb/odoo,JGarcia-Panach/odoo,bealdav/OpenUpgrade,leoliujie/odoo,gorjuce/odoo,glovebx/odoo,syci/OCB,CopeX/odoo,hifly/OpenUpgrade,cloud9UG/odoo,inspyration/odoo,hassoon3/odoo,alexcuellar/odoo,bealdav/OpenUpgrade,fjbatresv/odoo,cdrooom/odoo,sinbazhou/odoo,acshan/odoo,diagramsoftware/odoo,rdeheele/odoo,Endika/odoo,BT-astauder/odoo,apanju/GMIO_Odoo,nagyistoce/odoo-dev-odoo,jfpla/odoo,damdam-s/OpenUpgrade,fjbatresv/odoo,spadae22/odoo,Eric-Zhong/odoo,Maspear/odoo,zchking/odoo,sve-odoo/odoo,ramitalat/odoo,avoinsystems/odoo,rdeheele/odoo,fgesora/odoo,joshuajan/odoo,fdvarela/odoo8,alhashash/odoo,diagramsoftware/odoo,Endika/OpenUpgrade,Ichag/odoo,goliveirab/odoo,hip-odoo/odoo,odoo-turkiye/odoo,salaria/odoo,bakhtout/odoo-educ,bealdav/OpenUpgrade,camptocamp/ngo-addons-backport,luistorresm/odoo,apanju/odoo,x111ong/odoo,nhomar/odoo-mirror,havt/odoo,osvalr/odoo,collex100/odoo,fossoult/odoo,OSSESAC/odoopubarquiluz,tangyiyong/odoo,zchking/odoo,OpenPymeMx/OCB,fjbatresv/odoo,klunwebale/odoo,Daniel-CA/odoo,mmbtba/odoo,xujb/odoo,alexteodor/odoo,odoo-turkiye/odoo,fuhongliang/odoo,massot/odoo,windedge/odoo,bakhtout/odoo-educ,sergio-incaser/odoo,xujb/odoo,jiangzhixiao/odoo,JonathanStein/odoo,ClearCorp-dev/odoo,lombritz/odoo,alqfahad/odoo,tinkhaven-organization/odoo,oliverhr/odoo,nuuuboo/odoo,slevenhagen/odoo,havt/odoo,abdellatifkarroum/odoo,juanalfonsopr/odoo,tarzan0820/odoo,codekaki/odoo,PongPi/isl-odoo,dezynetechnologies/odoo,chiragjogi/odoo,alexteodor/odoo,havt/odoo,idncom/odoo,bplancher/odoo,csrocha/OpenUpgrade,lightcn/odoo,juanalfonsopr/odoo,Eric-Zhong/odoo,OpenUpgrade-dev/OpenUpgrade,jiachenning/odoo,Daniel-CA/odoo,jeasoft/odoo,abstract-open-solutions/OCB,Maspear/odoo,OpenUpgrade/OpenUpgrade,janocat/odoo,fdvarela/odoo8,hopeall/odoo,florentx/OpenUpgrade,klunwebale/odoo,camptocamp/ngo-addons-backport,hip-odoo/odoo,VitalPet/odoo,csrocha/OpenUpgrade,abdellatifkarroum/odoo,charbeljc/OCB,dgzurita/odoo,highco-groupe/odoo,fuselock/odoo,rdeheele/odoo,markeTIC/OCB,kittiu/odoo,odootr/odoo,apanju/GMIO_Odoo,jusdng/odoo,mvaled/OpenUpgrade,n0m4dz/odoo,storm-computers/odoo,alexcuellar/odoo,TRESCLOUD/odoopub,ygol/odoo,CopeX/odoo,tangyiyong/odoo,fgesora/odoo,ujjwalwahi/odoo,luiseduardohdbackup/odoo,OpenUpgrade/OpenUpgrade,tinkhaven-organization/odoo,christophlsa/odoo,shaufi10/odoo,jolevq/odoopub,Kilhog/odoo,eino-makitalo/odoo,ehirt/odoo,jiangzhixiao/odoo,Adel-Magebinary/odoo,glovebx/odoo,lombritz/odoo,abstract-open-solutions/OCB,srsman/odoo,gorjuce/odoo,andreparames/odoo,podemos-info/odoo,JonathanStein/odoo,prospwro/odoo,erkrishna9/odoo,fossoult/odoo,GauravSahu/odoo,bakhtout/odoo-educ,ujjwalwahi/odoo,fjbatresv/odoo,leoliujie/odoo,wangjun/odoo,jpshort/odoo,0k/OpenUpgrade,srsman/odoo,fuselock/odoo,colinnewell/odoo,simongoffin/website_version,Endika/odoo,deKupini/erp,jeasoft/odoo,jeasoft/odoo,xzYue/odoo,fjbatresv/odoo,mustafat/odoo-1,bguillot/OpenUpgrade,bealdav/OpenUpgrade,osvalr/odoo,fossoult/odoo,florentx/OpenUpgrade,dfang/odoo,frouty/odoogoeen,dkubiak789/odoo,tangyiyong/odoo,apanju/GMIO_Odoo,ShineFan/odoo,Danisan/odoo-1,kybriainfotech/iSocioCRM,slevenhagen/odoo-npg,lightcn/odoo,xzYue/odoo,0k/OpenUpgrade,shivam1111/odoo,Drooids/odoo,dgzurita/odoo,BT-ojossen/odoo,mlaitinen/odoo,ramitalat/odoo,JGarcia-Panach/odoo,NeovaHealth/odoo,sve-odoo/odoo,markeTIC/OCB,steedos/odoo,ojengwa/odoo,abdellatifkarroum/odoo,addition-it-solutions/project-all,shaufi/odoo,QianBIG/odoo,CopeX/odoo,KontorConsulting/odoo,odoo-turkiye/odoo,rowemoore/odoo,Adel-Magebinary/odoo,florian-dacosta/OpenUpgrade,odootr/odoo,abdellatifkarroum/odoo,shivam1111/odoo,srimai/odoo,Maspear/odoo,omprakasha/odoo,alqfahad/odoo,hubsaysnuaa/odoo,elmerdpadilla/iv,ingadhoc/odoo,salaria/odoo,lsinfo/odoo,kirca/OpenUpgrade,ThinkOpen-Solutions/odoo,cedk/odoo,fuselock/odoo,salaria/odoo,microcom/odoo,bwrsandman/OpenUpgrade,shingonoide/odoo,Endika/OpenUpgrade,frouty/odoogoeen,syci/OCB,fevxie/odoo,oihane/odoo,nhomar/odoo-mirror,tinkerthaler/odoo,shivam1111/odoo,oliverhr/odoo,Ichag/odoo,GauravSahu/odoo,colinnewell/odoo,nitinitprof/odoo,SAM-IT-SA/odoo,sadleader/odoo,dsfsdgsbngfggb/odoo,jiangzhixiao/odoo,Grirrane/odoo,srsman/odoo,sve-odoo/odoo,elmerdpadilla/iv,abdellatifkarroum/odoo,gsmartway/odoo,kybriainfotech/iSocioCRM,bobisme/odoo,Endika/odoo,bplancher/odoo,Adel-Magebinary/odoo,idncom/odoo,ihsanudin/odoo,apanju/odoo,sysadminmatmoz/OCB,slevenhagen/odoo-npg,stephen144/odoo,vrenaville/ngo-addons-backport,fevxie/odoo,jaxkodex/odoo,nexiles/odoo,OSSESAC/odoopubarquiluz,NeovaHealth/odoo,leoliujie/odoo,oihane/odoo,tarzan0820/odoo,hoatle/odoo,Maspear/odoo,avoinsystems/odoo,ujjwalwahi/odoo,rgeleta/odoo,waytai/odoo,nuuuboo/odoo,poljeff/odoo,Kilhog/odoo,lgscofield/odoo,numerigraphe/odoo,Noviat/odoo,osvalr/odoo,jpshort/odoo,dariemp/odoo,Elico-Corp/odoo_OCB,bguillot/OpenUpgrade,CopeX/odoo,x111ong/odoo,tarzan0820/odoo,cysnake4713/odoo,dezynetechnologies/odoo,hubsaysnuaa/odoo,abstract-open-solutions/OCB,JCA-Developpement/Odoo,ThinkOpen-Solutions/odoo,QianBIG/odoo,SerpentCS/odoo,florentx/OpenUpgrade,VielSoft/odoo,dllsf/odootest,stonegithubs/odoo,ClearCorp-dev/odoo,leorochael/odoo,virgree/odoo,incaser/odoo-odoo,ehirt/odoo,dalegregory/odoo,grap/OCB,lgscofield/odoo,nhomar/odoo,hanicker/odoo,savoirfairelinux/odoo,Noviat/odoo,codekaki/odoo,pedrobaeza/OpenUpgrade,Bachaco-ve/odoo,BT-rmartin/odoo,PongPi/isl-odoo,simongoffin/website_version,factorlibre/OCB,hbrunn/OpenUpgrade,takis/odoo,GauravSahu/odoo,mustafat/odoo-1,sinbazhou/odoo,hoatle/odoo,acshan/odoo,hopeall/odoo,AuyaJackie/odoo,mmbtba/odoo,fossoult/odoo,javierTerry/odoo,florentx/OpenUpgrade,vnsofthe/odoo,OpenPymeMx/OCB,Drooids/odoo,wangjun/odoo,gdgellatly/OCB1,camptocamp/ngo-addons-backport,csrocha/OpenUpgrade,Eric-Zhong/odoo,hifly/OpenUpgrade,rgeleta/odoo,oihane/odoo,joariasl/odoo,rahuldhote/odoo,mustafat/odoo-1,addition-it-solutions/project-all,oliverhr/odoo,SAM-IT-SA/odoo,SAM-IT-SA/odoo,optima-ict/odoo,apocalypsebg/odoo,klunwebale/odoo,MarcosCommunity/odoo,havt/odoo,cloud9UG/odoo,slevenhagen/odoo,Codefans-fan/odoo,SAM-IT-SA/odoo,tvibliani/odoo,idncom/odoo,abdellatifkarroum/odoo,alexcuellar/odoo,sergio-incaser/odoo,nagyistoce/odoo-dev-odoo,agrista/odoo-saas,sebalix/OpenUpgrade,0k/OpenUpgrade,numerigraphe/odoo,fgesora/odoo,QianBIG/odoo,leoliujie/odoo,ramadhane/odoo,waytai/odoo,cpyou/odoo,collex100/odoo,kittiu/odoo,alexteodor/odoo,Gitlab11/odoo,hubsaysnuaa/odoo,Bachaco-ve/odoo,florentx/OpenUpgrade,oasiswork/odoo,RafaelTorrealba/odoo,kybriainfotech/iSocioCRM,draugiskisprendimai/odoo,laslabs/odoo,simongoffin/website_version,grap/OCB,SerpentCS/odoo,apanju/odoo,ihsanudin/odoo,takis/odoo,BT-fgarbely/odoo,synconics/odoo,tinkerthaler/odoo,lightcn/odoo,ojengwa/odoo,fjbatresv/odoo,markeTIC/OCB,FlorianLudwig/odoo,jaxkodex/odoo,wangjun/odoo,mszewczy/odoo,charbeljc/OCB,leoliujie/odoo,ramadhane/odoo,windedge/odoo,goliveirab/odoo,blaggacao/OpenUpgrade,optima-ict/odoo,Noviat/odoo,pedrobaeza/OpenUpgrade,credativUK/OCB,charbeljc/OCB,sebalix/OpenUpgrade,Antiun/odoo,OpusVL/odoo,codekaki/odoo,lombritz/odoo,dariemp/odoo,fevxie/odoo,odoousers2014/odoo,tinkhaven-organization/odoo,oihane/odoo,grap/OpenUpgrade,stephen144/odoo,bobisme/odoo,BT-rmartin/odoo,fuhongliang/odoo,mlaitinen/odoo,joariasl/odoo,odoousers2014/odoo,abenzbiria/clients_odoo,ShineFan/odoo,ClearCorp-dev/odoo,ChanduERP/odoo,Gitlab11/odoo,gavin-feng/odoo,mvaled/OpenUpgrade,kittiu/odoo,Eric-Zhong/odoo,ecosoft-odoo/odoo,datenbetrieb/odoo,laslabs/odoo,goliveirab/odoo,Elico-Corp/odoo_OCB,leoliujie/odoo,abenzbiria/clients_odoo,hifly/OpenUpgrade,datenbetrieb/odoo,charbeljc/OCB,guerrerocarlos/odoo,ramitalat/odoo,Nick-OpusVL/odoo,windedge/odoo,BT-rmartin/odoo,tinkerthaler/odoo,cedk/odoo,erkrishna9/odoo,CatsAndDogsbvba/odoo,odoousers2014/odoo,JCA-Developpement/Odoo,collex100/odoo,ojengwa/odoo,odooindia/odoo,blaggacao/OpenUpgrade,jaxkodex/odoo,savoirfairelinux/odoo,rubencabrera/odoo,Antiun/odoo,Adel-Magebinary/odoo,PongPi/isl-odoo,apanju/GMIO_Odoo,Ernesto99/odoo,virgree/odoo,synconics/odoo,nitinitprof/odoo,draugiskisprendimai/odoo,draugiskisprendimai/odoo,makinacorpus/odoo,Gitlab11/odoo,KontorConsulting/odoo,x111ong/odoo,slevenhagen/odoo,colinnewell/odoo,bwrsandman/OpenUpgrade,osvalr/odoo,bkirui/odoo,BT-ojossen/odoo,ingadhoc/odoo,ovnicraft/odoo,ecosoft-odoo/odoo,juanalfonsopr/odoo,cpyou/odoo,ehirt/odoo,dllsf/odootest,makinacorpus/odoo,jaxkodex/odoo,sv-dev1/odoo,rubencabrera/odoo,Bachaco-ve/odoo,jolevq/odoopub,Kilhog/odoo,papouso/odoo,JonathanStein/odoo,nexiles/odoo,xujb/odoo,PongPi/isl-odoo,lightcn/odoo,0k/OpenUpgrade,Adel-Magebinary/odoo,Drooids/odoo,optima-ict/odoo,apocalypsebg/odoo,waytai/odoo,kybriainfotech/iSocioCRM,demon-ru/iml-crm,hbrunn/OpenUpgrade,spadae22/odoo,podemos-info/odoo,luistorresm/odoo,osvalr/odoo,leorochael/odoo,storm-computers/odoo,dkubiak789/odoo,savoirfairelinux/odoo,ChanduERP/odoo,eino-makitalo/odoo,diagramsoftware/odoo,avoinsystems/odoo,shingonoide/odoo,OpenPymeMx/OCB,SAM-IT-SA/odoo,synconics/odoo,aviciimaxwell/odoo,Antiun/odoo,TRESCLOUD/odoopub,tangyiyong/odoo,Drooids/odoo,windedge/odoo,rahuldhote/odoo,massot/odoo,datenbetrieb/odoo,bguillot/OpenUpgrade,Kilhog/odoo,patmcb/odoo,alexcuellar/odoo,alexcuellar/odoo,nexiles/odoo,fuselock/odoo,jfpla/odoo,KontorConsulting/odoo,thanhacun/odoo,fuselock/odoo,vnsofthe/odoo,laslabs/odoo,0k/odoo,hifly/OpenUpgrade,highco-groupe/odoo,inspyration/odoo,luiseduardohdbackup/odoo,JCA-Developpement/Odoo,ccomb/OpenUpgrade,ShineFan/odoo,rowemoore/odoo,Danisan/odoo-1,leorochael/odoo,windedge/odoo,demon-ru/iml-crm,ihsanudin/odoo,lsinfo/odoo,javierTerry/odoo,Grirrane/odoo,cpyou/odoo,oasiswork/odoo,fuhongliang/odoo,mustafat/odoo-1,cedk/odoo,Daniel-CA/odoo,avoinsystems/odoo,dfang/odoo,papouso/odoo,stephen144/odoo,jolevq/odoopub,oasiswork/odoo,incaser/odoo-odoo,abenzbiria/clients_odoo,arthru/OpenUpgrade,bplancher/odoo,pedrobaeza/OpenUpgrade,hanicker/odoo,gsmartway/odoo,shaufi10/odoo,syci/OCB,JonathanStein/odoo,nexiles/odoo,rschnapka/odoo,blaggacao/OpenUpgrade,synconics/odoo,NL66278/OCB,simongoffin/website_version,mmbtba/odoo,jpshort/odoo,hassoon3/odoo,oliverhr/odoo,javierTerry/odoo,massot/odoo,OpenPymeMx/OCB,deKupini/erp,rschnapka/odoo,ygol/odoo,tinkhaven-organization/odoo,doomsterinc/odoo,CatsAndDogsbvba/odoo,grap/OpenUpgrade,Ernesto99/odoo,ygol/odoo,BT-rmartin/odoo,dfang/odoo,collex100/odoo,ramitalat/odoo,provaleks/o8,diagramsoftware/odoo,Drooids/odoo,0k/odoo,joshuajan/odoo,poljeff/odoo,fgesora/odoo,GauravSahu/odoo,pedrobaeza/OpenUpgrade,ygol/odoo,fuselock/odoo,Gitlab11/odoo,brijeshkesariya/odoo,0k/OpenUpgrade,andreparames/odoo,Elico-Corp/odoo_OCB,RafaelTorrealba/odoo,guerrerocarlos/odoo,klunwebale/odoo,Codefans-fan/odoo,zchking/odoo,arthru/OpenUpgrade,tinkhaven-organization/odoo,JonathanStein/odoo,zchking/odoo,diagramsoftware/odoo,frouty/odoogoeen,tarzan0820/odoo,ubic135/odoo-design,prospwro/odoo,Drooids/odoo,ramadhane/odoo,sve-odoo/odoo,Ernesto99/odoo,alexteodor/odoo,salaria/odoo,syci/OCB,frouty/odoogoeen,CubicERP/odoo,OSSESAC/odoopubarquiluz,Nowheresly/odoo,credativUK/OCB,fgesora/odoo,abenzbiria/clients_odoo,chiragjogi/odoo,Kilhog/odoo,gavin-feng/odoo,apanju/odoo,shaufi/odoo,lgscofield/odoo,makinacorpus/odoo,bplancher/odoo,tinkhaven-organization/odoo,gorjuce/odoo,numerigraphe/odoo,nexiles/odoo,ApuliaSoftware/odoo,alhashash/odoo,glovebx/odoo,ChanduERP/odoo,bwrsandman/OpenUpgrade,odooindia/odoo,Nick-OpusVL/odoo,dgzurita/odoo,xujb/odoo,podemos-info/odoo,nuncjo/odoo,Eric-Zhong/odoo,vrenaville/ngo-addons-backport,ehirt/odoo,pplatek/odoo,andreparames/odoo,Elico-Corp/odoo_OCB,lightcn/odoo,ThinkOpen-Solutions/odoo,alqfahad/odoo,ClearCorp-dev/odoo,ihsanudin/odoo,stonegithubs/odoo,blaggacao/OpenUpgrade,christophlsa/odoo,kittiu/odoo,kirca/OpenUpgrade,xzYue/odoo,MarcosCommunity/odoo,pplatek/odoo,jiangzhixiao/odoo,frouty/odoo_oph,MarcosCommunity/odoo,xzYue/odoo,slevenhagen/odoo,optima-ict/odoo,alqfahad/odoo,sv-dev1/odoo,microcom/odoo,rschnapka/odoo,lombritz/odoo,BT-ojossen/odoo,vrenaville/ngo-addons-backport,VitalPet/odoo,VitalPet/odoo,OpenUpgrade/OpenUpgrade,janocat/odoo,sergio-incaser/odoo,massot/odoo,jusdng/odoo,odootr/odoo,shivam1111/odoo,pedrobaeza/odoo,ramitalat/odoo,kifcaliph/odoo,draugiskisprendimai/odoo,stephen144/odoo,hopeall/odoo,gavin-feng/odoo,sebalix/OpenUpgrade,sv-dev1/odoo,shaufi10/odoo,ecosoft-odoo/odoo,brijeshkesariya/odoo,odootr/odoo,TRESCLOUD/odoopub,codekaki/odoo,dariemp/odoo,doomsterinc/odoo,idncom/odoo,mszewczy/odoo,CopeX/odoo,andreparames/odoo,nexiles/odoo,nitinitprof/odoo,syci/OCB,provaleks/o8,KontorConsulting/odoo,demon-ru/iml-crm,JGarcia-Panach/odoo,sadleader/odoo,OpenUpgrade/OpenUpgrade,elmerdpadilla/iv,ramadhane/odoo,camptocamp/ngo-addons-backport,bakhtout/odoo-educ,JGarcia-Panach/odoo,nhomar/odoo,cedk/odoo,ingadhoc/odoo,hmen89/odoo,CatsAndDogsbvba/odoo,nuuuboo/odoo,brijeshkesariya/odoo,Eric-Zhong/odoo,colinnewell/odoo,lombritz/odoo,waytai/odoo,nexiles/odoo,shingonoide/odoo,codekaki/odoo,acshan/odoo,0k/odoo,hbrunn/OpenUpgrade,klunwebale/odoo,ShineFan/odoo,grap/OCB,kifcaliph/odoo,Nowheresly/odoo,Kilhog/odoo,markeTIC/OCB,SAM-IT-SA/odoo,kittiu/odoo,provaleks/o8,nagyistoce/odoo-dev-odoo,CubicERP/odoo,FlorianLudwig/odoo,kifcaliph/odoo,Endika/odoo,steedos/odoo,NL66278/OCB,CubicERP/odoo,jesramirez/odoo,apanju/GMIO_Odoo,mlaitinen/odoo,MarcosCommunity/odoo,Nick-OpusVL/odoo,bkirui/odoo,Maspear/odoo,numerigraphe/odoo,Grirrane/odoo,chiragjogi/odoo,Ernesto99/odoo,KontorConsulting/odoo,goliveirab/odoo,damdam-s/OpenUpgrade,hassoon3/odoo,mustafat/odoo-1,luistorresm/odoo,RafaelTorrealba/odoo,apanju/odoo,rahuldhote/odoo,Danisan/odoo-1,shivam1111/odoo,BT-fgarbely/odoo,NL66278/OCB,dgzurita/odoo,dsfsdgsbngfggb/odoo,PongPi/isl-odoo,pplatek/odoo,virgree/odoo,OpenPymeMx/OCB,ThinkOpen-Solutions/odoo,dkubiak789/odoo,rdeheele/odoo,storm-computers/odoo,matrixise/odoo,Ernesto99/odoo,sv-dev1/odoo,ShineFan/odoo,steedos/odoo,luiseduardohdbackup/odoo,steedos/odoo,jiachenning/odoo,hassoon3/odoo,oihane/odoo,acshan/odoo,deKupini/erp,minhtuancn/odoo,BT-astauder/odoo,shaufi/odoo,steedos/odoo,incaser/odoo-odoo,dkubiak789/odoo,vrenaville/ngo-addons-backport,Antiun/odoo,dsfsdgsbngfggb/odoo,Codefans-fan/odoo,vnsofthe/odoo,omprakasha/odoo,abenzbiria/clients_odoo,minhtuancn/odoo,omprakasha/odoo,doomsterinc/odoo,KontorConsulting/odoo,dalegregory/odoo,fjbatresv/odoo,luistorresm/odoo,sinbazhou/odoo,gdgellatly/OCB1,realsaiko/odoo,andreparames/odoo,laslabs/odoo,hoatle/odoo,sinbazhou/odoo,srimai/odoo,ecosoft-odoo/odoo,gvb/odoo,credativUK/OCB,csrocha/OpenUpgrade,ujjwalwahi/odoo,charbeljc/OCB,pedrobaeza/OpenUpgrade,kirca/OpenUpgrade,poljeff/odoo,jpshort/odoo,eino-makitalo/odoo,doomsterinc/odoo,srimai/odoo,Noviat/odoo,srsman/odoo,jeasoft/odoo,grap/OpenUpgrade,omprakasha/odoo,mustafat/odoo-1,demon-ru/iml-crm,vrenaville/ngo-addons-backport,virgree/odoo,spadae22/odoo,deKupini/erp,Adel-Magebinary/odoo,feroda/odoo,AuyaJackie/odoo,VielSoft/odoo,windedge/odoo,nitinitprof/odoo,TRESCLOUD/odoopub,shaufi10/odoo,Endika/OpenUpgrade,realsaiko/odoo,javierTerry/odoo,savoirfairelinux/OpenUpgrade,synconics/odoo,GauravSahu/odoo,dariemp/odoo,goliveirab/odoo,christophlsa/odoo,lsinfo/odoo,hanicker/odoo,GauravSahu/odoo,juanalfonsopr/odoo,janocat/odoo,tvibliani/odoo,cloud9UG/odoo,fuhongliang/odoo,tarzan0820/odoo,guewen/OpenUpgrade,ingadhoc/odoo,ApuliaSoftware/odoo,doomsterinc/odoo,juanalfonsopr/odoo,sv-dev1/odoo,nuuuboo/odoo,credativUK/OCB,ojengwa/odoo,feroda/odoo,funkring/fdoo,guerrerocarlos/odoo,hmen89/odoo,diagramsoftware/odoo,dezynetechnologies/odoo,ramadhane/odoo,guerrerocarlos/odoo,mvaled/OpenUpgrade,gvb/odoo,ClearCorp-dev/odoo,VitalPet/odoo,avoinsystems/odoo,glovebx/odoo,ApuliaSoftware/odoo,sadleader/odoo,xujb/odoo,kybriainfotech/iSocioCRM,nuncjo/odoo,oasiswork/odoo,ygol/odoo,idncom/odoo,feroda/odoo,Ichag/odoo,doomsterinc/odoo,wangjun/odoo,klunwebale/odoo,OSSESAC/odoopubarquiluz,gsmartway/odoo,janocat/odoo,guewen/OpenUpgrade,BT-ojossen/odoo,shaufi10/odoo,minhtuancn/odoo,QianBIG/odoo,mmbtba/odoo,ygol/odoo,jiachenning/odoo,nitinitprof/odoo,brijeshkesariya/odoo,takis/odoo,tarzan0820/odoo,dsfsdgsbngfggb/odoo,mvaled/OpenUpgrade,makinacorpus/odoo,shaufi10/odoo,jeasoft/odoo,bwrsandman/OpenUpgrade,rschnapka/odoo,hopeall/odoo,dsfsdgsbngfggb/odoo,microcom/odoo,BT-astauder/odoo,sv-dev1/odoo,sebalix/OpenUpgrade,omprakasha/odoo,bobisme/odoo,gsmartway/odoo,VitalPet/odoo,ecosoft-odoo/odoo,OpenUpgrade-dev/OpenUpgrade,ingadhoc/odoo,camptocamp/ngo-addons-backport,bplancher/odoo,cloud9UG/odoo,RafaelTorrealba/odoo,janocat/odoo,n0m4dz/odoo,luistorresm/odoo,tinkerthaler/odoo,Nick-OpusVL/odoo,steedos/odoo,grap/OpenUpgrade,glovebx/odoo,ovnicraft/odoo,Nowheresly/odoo,CatsAndDogsbvba/odoo,gavin-feng/odoo,arthru/OpenUpgrade,jfpla/odoo,waytai/odoo,Bachaco-ve/odoo,OpusVL/odoo,chiragjogi/odoo,chiragjogi/odoo,gdgellatly/OCB1,sinbazhou/odoo,ThinkOpen-Solutions/odoo,stephen144/odoo,NL66278/OCB,virgree/odoo,javierTerry/odoo,ecosoft-odoo/odoo,fdvarela/odoo8,GauravSahu/odoo,agrista/odoo-saas,acshan/odoo,bakhtout/odoo-educ,bplancher/odoo,nuncjo/odoo,BT-fgarbely/odoo,gsmartway/odoo,funkring/fdoo,ujjwalwahi/odoo,hip-odoo/odoo,ApuliaSoftware/odoo,shingonoide/odoo,janocat/odoo,provaleks/o8,odoo-turkiye/odoo,shingonoide/odoo,alqfahad/odoo,christophlsa/odoo,oliverhr/odoo,nuncjo/odoo,dllsf/odootest,zchking/odoo,Nowheresly/odoo,sinbazhou/odoo,AuyaJackie/odoo,alhashash/odoo,minhtuancn/odoo,odoousers2014/odoo,jusdng/odoo,codekaki/odoo,alexteodor/odoo,AuyaJackie/odoo,factorlibre/OCB,dgzurita/odoo,guewen/OpenUpgrade,matrixise/odoo,srsman/odoo,hmen89/odoo,JCA-Developpement/Odoo,alhashash/odoo,eino-makitalo/odoo,NeovaHealth/odoo,CopeX/odoo,apocalypsebg/odoo,oliverhr/odoo,juanalfonsopr/odoo,slevenhagen/odoo-npg,numerigraphe/odoo,rahuldhote/odoo,luiseduardohdbackup/odoo,BT-astauder/odoo,Nick-OpusVL/odoo,mkieszek/odoo,ihsanudin/odoo,n0m4dz/odoo,idncom/odoo,ubic135/odoo-design,zchking/odoo,JonathanStein/odoo,jesramirez/odoo,tinkerthaler/odoo,n0m4dz/odoo,sysadminmatmoz/OCB,Ichag/odoo,FlorianLudwig/odoo,dalegregory/odoo,massot/odoo,tvtsoft/odoo8,sergio-incaser/odoo,mvaled/OpenUpgrade,ramitalat/odoo,Codefans-fan/odoo,podemos-info/odoo,ojengwa/odoo,windedge/odoo,thanhacun/odoo,pedrobaeza/OpenUpgrade,bobisme/odoo,Kilhog/odoo,acshan/odoo,wangjun/odoo,rowemoore/odoo,mszewczy/odoo,grap/OpenUpgrade,bealdav/OpenUpgrade,funkring/fdoo,gdgellatly/OCB1,shaufi10/odoo,xzYue/odoo,alqfahad/odoo,bwrsandman/OpenUpgrade,jolevq/odoopub,rdeheele/odoo,dezynetechnologies/odoo,savoirfairelinux/OpenUpgrade,aviciimaxwell/odoo,hanicker/odoo,OpenUpgrade/OpenUpgrade,TRESCLOUD/odoopub,collex100/odoo,ehirt/odoo,jusdng/odoo,sebalix/OpenUpgrade,RafaelTorrealba/odoo,Gitlab11/odoo,Grirrane/odoo,gvb/odoo,abstract-open-solutions/OCB,mszewczy/odoo,jolevq/odoopub,acshan/odoo,n0m4dz/odoo,arthru/OpenUpgrade,camptocamp/ngo-addons-backport,OpenUpgrade-dev/OpenUpgrade,hanicker/odoo,shaufi/odoo,Daniel-CA/odoo,storm-computers/odoo,nuncjo/odoo,ingadhoc/odoo,vrenaville/ngo-addons-backport,ygol/odoo,podemos-info/odoo,matrixise/odoo,guerrerocarlos/odoo,JonathanStein/odoo,mkieszek/odoo,poljeff/odoo,stonegithubs/odoo,chiragjogi/odoo,shivam1111/odoo,savoirfairelinux/OpenUpgrade,gorjuce/odoo,odooindia/odoo,incaser/odoo-odoo,joshuajan/odoo,alexcuellar/odoo,juanalfonsopr/odoo,MarcosCommunity/odoo,BT-ojossen/odoo,kittiu/odoo,steedos/odoo,patmcb/odoo,VitalPet/odoo,Codefans-fan/odoo,x111ong/odoo,tvibliani/odoo,glovebx/odoo,cysnake4713/odoo,gvb/odoo,rgeleta/odoo,incaser/odoo-odoo,BT-fgarbely/odoo,Nick-OpusVL/odoo,Ichag/odoo,elmerdpadilla/iv,spadae22/odoo,rahuldhote/odoo,goliveirab/odoo,NL66278/OCB,dfang/odoo,andreparames/odoo,funkring/fdoo,grap/OCB,guewen/OpenUpgrade,oliverhr/odoo,mkieszek/odoo,ubic135/odoo-design,hifly/OpenUpgrade,luiseduardohdbackup/odoo,frouty/odoo_oph,ThinkOpen-Solutions/odoo,CopeX/odoo,naousse/odoo,jaxkodex/odoo,csrocha/OpenUpgrade,NeovaHealth/odoo,colinnewell/odoo,grap/OCB,provaleks/o8,oasiswork/odoo,mmbtba/odoo,dezynetechnologies/odoo,draugiskisprendimai/odoo,nagyistoce/odoo-dev-odoo,patmcb/odoo,odoo-turkiye/odoo,dkubiak789/odoo | addons/l10n_lu/__openerp__.py | addons/l10n_lu/__openerp__.py | # -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
# Copyright (C) 2011 Thamini S.à.R.L (<http://www.thamini.com>)
# Copyright (C) 2011 ADN Consultants S.à.R.L (<http://www.adn-luxembourg.com>)
# Copyright (C) 2012-today OpenERP SA (<http://openerp.com>)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
{
'name': 'Luxembourg - Accounting',
'version': '1.0',
'category': 'Localization/Account Charts',
'description': """
This is the base module to manage the accounting chart for Luxembourg.
======================================================================
* the Luxembourg Official Chart of Accounts (law of June 2009 + 2011 chart and Taxes),
* the Tax Code Chart for Luxembourg
* the main taxes used in Luxembourg
* default fiscal position for local, intracom, extracom """,
'author': 'OpenERP SA & ADN',
'website': 'http://www.openerp.com http://www.adn-luxembourg.com',
'depends': ['account', 'base_vat', 'base_iban'],
'init_xml': [],
'update_xml': [
# basic accounting data
'account.account.type-2011.csv',
'account.account.template-2011.csv',
'account.tax.code.template-2011.csv',
'account.chart.template-2011.csv',
'account.tax.template-2011.csv',
# Change BRE: adds fiscal position
'account.fiscal.position.template-2011.csv',
'account.fiscal.position.tax.template-2011.csv',
# configuration wizard, views, reports...
'l10n_lu_wizard.xml',
'l10n_lu_view.xml',
'wizard/print_vat_view.xml'
],
'test': ['test/l10n_lu_report.yml'],
'demo_xml': [],
'installable': True,
'auto_install': False,
'certificate': '0078164766621',
'images': ['images/config_chart_l10n_lu.jpeg','images/l10n_lu_chart.jpeg'],
}
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
| # -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
# Copyright (C) 2011 Thamini S.à.R.L (<http://www.thamini.com>)
# Copyright (C) 2011 ADN Consultants S.à.R.L (<http://www.adn-luxembourg.com>)
# Copyright (C) 2012-today OpenERP SA (<http://openerp.com>)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
{
'name': 'Luxembourg - Accounting',
'version': '1.0',
'category': 'Localization/Account Charts',
'description': """
This is the base module to manage the accounting chart for Luxembourg.
======================================================================
* the Luxembourg Official Chart of Accounts (law of June 2009 + 2011 chart and Taxes),
* the Tax Code Chart for Luxembourg
* the main taxes used in Luxembourg
* default fiscal position for local, intracom, extracom """,
'author': 'OpenERP SA & ADN',
'website': 'http://www.openerp.com http://www.adn-luxembourg.com',
'depends': ['account', 'base_vat', 'base_iban'],
'init_xml': [],
'update_xml': [
# basic accounting data
'account.account.type-2011.csv',
'account.account.template-2011.csv',
'account.tax.code.template-2011.csv',
'account.chart.template-2011.csv',
'account.tax.template-2011.csv',
# Change BRE: adds fiscal position
'account.fiscal.position.template-2011.csv',
'account.fiscal.position.tax.template-2011.csv',
# configuration wizard, views, reports...
'l10n_lu_wizard.xml',
'account.tax.template.csv',
'l10n_lu_view.xml',
'wizard/print_vat_view.xml'
],
'test': ['test/l10n_lu_report.yml'],
'demo_xml': [],
'installable': True,
'auto_install': False,
'certificate': '0078164766621',
'images': ['images/config_chart_l10n_lu.jpeg','images/l10n_lu_chart.jpeg'],
}
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
| agpl-3.0 | Python |
c0ee3bb87a26a57bc7dc1bd4e1aaf6136f94bc17 | Add missing filters.py file in organizations | ain7/www.ain7.org,ain7/www.ain7.org,ain7/www.ain7.org,ain7/www.ain7.org | ain7/organizations/filters.py | ain7/organizations/filters.py | # -*- coding: utf-8
"""
ain7/organizations/filters.py
"""
#
# Copyright © 2007-2015 AIn7 Devel Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
#
#
import django_filters
from ain7.organizations.models import Organization
class OrganizationFilter(django_filters.FilterSet):
class Meta:
model = Organization
fields = {
'name': ['icontains'],
'activity_field': ['icontains'],
}
| lgpl-2.1 | Python |
|
f56181aaf6df758abb988d10c757c6eba72d5025 | write beginning of method for storing probabilities in a hash | hollabaq86/haikuna-matata,hollabaq86/haikuna-matata,hollabaq86/haikuna-matata | parser.py | parser.py | import re
probabilityHash = {[], ""}
#[word1, word2], count
def parseIntoProbabilityHash(text):
stripPunctuation = re.sub(ur"[^\w\d'\s]+",' ',text)
wordsInText = stripPunctuation.split()
n = 0
for word in wordsInText:
probabilityHash[wordsInText[n]] = 1
return probabilityHash
| mit | Python |
|
5e54e5ebf9add6d8bd879d963803ee57fd591f4b | Write new Preparation tests | osu-cass/whats-fresh-api,osu-cass/whats-fresh-api,iCHAIT/whats-fresh-api,osu-cass/whats-fresh-api,iCHAIT/whats-fresh-api,iCHAIT/whats-fresh-api,osu-cass/whats-fresh-api,iCHAIT/whats-fresh-api | whats_fresh/whats_fresh_api/tests/views/entry/test_new_preparation.py | whats_fresh/whats_fresh_api/tests/views/entry/test_new_preparation.py | from django.test import TestCase
from django.core.urlresolvers import reverse
from whats_fresh_api.models import *
from django.contrib.gis.db import models
import json
class NewPreparationTestCase(TestCase):
"""
Test that the New Preparation page works as expected.
Things tested:
URLs reverse correctly
The outputted page has the correct form fields
POSTing "correct" data will result in the creation of a new
object with the specified details
POSTing data with all fields missing (hitting "save" without entering
data) returns the same field with notations of missing fields
"""
def test_url_endpoint(self):
url = reverse('new-preparation')
self.assertEqual(url, '/entry/preparations/new')
def test_form_fields(self):
"""
Tests to see if the form contains all of the right fields
"""
response = self.client.get(reverse('new-preparation'))
fields = {'name': 'input', 'description': 'input',
'additional_info': 'select'}
form = response.context['preparation_form']
for field in fields:
# for the Edit tests, you should be able to access
# form[field].value
self.assertIn(fields[field], str(form[field]))
def test_successful_preparation_creation_minimal(self):
"""
POST a proper "new preparation" command to the server, and see if the
new preparation appears in the database. All optional fields are null.
"""
Preparation.objects.all().delete()
# Data that we'll post to the server to get the new preparation created
new_preparation = {
'name': 'Fried', 'description': '', 'additional_info': ''}
response = self.client.post(reverse('new-preparation'),
new_preparation)
preparation = Preparation.objects.all()[0]
for field in new_preparation:
self.assertEqual(
getattr(preparation, field), new_preparation[field])
def test_successful_preparation_creation_maximal(self):
"""
POST a proper "new preparation" command to the server, and see if the
new preparation appears in the database. All optional fields are used.
"""
Preparation.objects.all().delete()
# Data that we'll post to the server to get the new preparation created
new_preparation = {
'name': 'Fried',
'description': 'Test Description',
'additional_info': 'Fried food is good'}
response = self.client.post(reverse('new-preparation'),
new_preparation)
preparation = Preparation.objects.all()[0]
for field in new_preparation:
self.assertEqual(
getattr(preparation, field), new_preparation[field])
def test_no_data_error(self):
"""
POST a "new preparation" command to the server missing all of the
required fields, and test to see what the error comes back as.
"""
# Create a list of all objects before sending bad POST data
all_preparations = Preparation.objects.all()
response = self.client.post(reverse('new-preparation'))
required_fields = ['name']
for field_name in required_fields:
self.assertIn(field_name,
response.context['preparation_form'].errors)
# Test that we didn't add any new objects
self.assertEqual(
list(Preparation.objects.all()), list(all_preparations))
| apache-2.0 | Python |
|
4d92b111eecd3ce938676edee36b288c42484905 | test scraper for UKÄ | jplusplus/statscraper | statscraper/scrapers/uka_scraper.py | statscraper/scrapers/uka_scraper.py | # encoding: utf-8
u""" A scraper to fetch Swedish university application statistics from
the Swedish Higher Education Authority (Universitetskanslerämbetet, UKÄ),
at http://statistik.uka.se
"""
from statscraper import BaseScraper, Dataset, Dimension, Result, Collection
import requests
from bs4 import BeautifulSoup
class UKA(BaseScraper):
def _fetch_itemslist(self, item):
""" We only offer regional application stats.
Other collections are differently structured.
"""
if item.is_root:
yield Collection("regional",
label="New students by area and school.")
else:
yield Dataset("county",
label="New students by county, school and semester.")
def _fetch_dimensions(self, dataset):
""" Declaring available dimensions like this is not mandatory,
but nice, especially if they differ from dataset to dataset.
If you are using a built in datatype, you can specify the dialect
you are expecting, to have values normalized. This scraper will
look for Swedish month names (e.g. 'Januari'), but return them
according to the Statscraper standard ('january').
"""
yield Dimension(u"school")
yield Dimension(u"semester")
yield Dimension(u"year", datatype="year")
yield Dimension(u"semester",
datatype="academic_term",
dialect="swedish")
def _fetch_data(self, dataset, query=None):
url = "http://statistik.uka.se/4.5d85793915901d205f935d0f.12.5d85793915901d205f965eab.portlet?action=resultat&view=resultTable&frageTyp=3&frageNr=240&tid=%s&grupp1=%s&grupp2=%s"
terms = [6]
counties = [{
'id': "10",
'municipalities': ["80"]
}, ]
for t in terms:
for c in counties:
for m in c["municipalities"]:
html = requests.get(url % (t, c, m["id"])).text
soup = BeautifulSoup(html, 'html.parser')
table = soup.find("table")
row = table.find_all("tr")[5:]
cells = row.find_all("td")
print cells[0].text,
print cells[2].text
"""
yield Result(value.text.encode("utf-8"), {
"date": date,
"month": month,
"year": years[i],
})
"""
| mit | Python |
|
d2762f81a9f8ed405ca5fc9d567004af182d137b | add importer for delimited data | Arabidopsis-Information-Portal/jbrowse,igemsoftware/Shenzhen_BGIC_0101_2013,SuLab/jbrowse,GMOD/jbrowse,limeng12/jbrowse,Arabidopsis-Information-Portal/jbrowse,limeng12/jbrowse,GreggHelt2/apollo-test,nathandunn/jbrowse,GreggHelt2/apollo-test,erasche/jbrowse,GreggHelt2/apollo-test,SuLab/jbrowse,nathandunn/jbrowse,Arabidopsis-Information-Portal/jbrowse,nathandunn/jbrowse,limeng12/jbrowse,erasche/jbrowse,GMOD/jbrowse,GreggHelt2/apollo-test,igemsoftware/Shenzhen_BGIC_0101_2013,nathandunn/jbrowse,igemsoftware/Shenzhen_BGIC_0101_2013,erasche/jbrowse,igemsoftware/Shenzhen_BGIC_0101_2013,limeng12/jbrowse,SuLab/jbrowse,nathandunn/jbrowse,erasche/jbrowse,Arabidopsis-Information-Portal/jbrowse,limeng12/jbrowse,Arabidopsis-Information-Portal/jbrowse,GMOD/jbrowse,GreggHelt2/apollo-test,GMOD/jbrowse,erasche/jbrowse,Arabidopsis-Information-Portal/jbrowse,GreggHelt2/apollo-test,igemsoftware/Shenzhen_BGIC_0101_2013,erasche/jbrowse,limeng12/jbrowse,SuLab/jbrowse,erasche/jbrowse,GreggHelt2/apollo-test,igemsoftware/Shenzhen_BGIC_0101_2013,igemsoftware/Shenzhen_BGIC_0101_2013,limeng12/jbrowse,GMOD/jbrowse,erasche/jbrowse,SuLab/jbrowse,SuLab/jbrowse,SuLab/jbrowse,igemsoftware/Shenzhen_BGIC_0101_2013,limeng12/jbrowse,Arabidopsis-Information-Portal/jbrowse | python/delim_import.py | python/delim_import.py | from json_generator import JsonGenerator, writeTrackEntry
def delimImport(file, skipLines, colNames, dataDir, trackLabel, key = None,
delim = "\t", chunkBytes = 200000, compress = True,
config = {'style': {'className': 'feature2'}} ):
fh = open(file, 'r')
data = [line.split(delim) for line in fh.readlines()]
fh.close()
startIndex = colNames.index("Start")
endIndex = colNames.index("End")
chromIndex = colNames.index("Chrom")
for item in data:
item[startIndex] = int(item[startIndex])
item[endIndex] = int(item[endIndex])
def nclCmp(a, b):
if a[startIndex] == b[startIndex]:
return b[endIndex] - a[endIndex]
return a[startIndex] - b[startIndex]
data.sort(nclCmp)
curRef = None
jsongen = None
for item in data:
if item[chromIndex] != curRef:
if jsongen is not None:
jsongen.generateTrack()
curRef = item[chromIndex]
classMeta = [{'attributes': colNames,
'proto': {'Chrom': item[chromIndex]} } ]
jsongen = JsonGenerator(dataDir, trackLabel, item[chromIndex],
chunkBytes, compress, classMeta, key)
jsongen.addSorted([0] + item)
if (jsongen is not None) and (jsongen.hasFeatures):
jsongen.generateTrack()
#attrs = ArrayRepr
config['urlTemplate'] = jsongen.urlTemplate
writeTrackEntry(dataDir, 'FeatureTrack', trackLabel,
key if key is not None else trackLabel,
config)
| lgpl-2.1 | Python |
|
51a5c7626b634687be57c3e6ed05ea07f6468ad0 | add analyzer test | Parisson/TimeSide,Parisson/TimeSide,Parisson/TimeSide,Parisson/TimeSide,Parisson/TimeSide | timeside/tests/api/test_analyzer.py | timeside/tests/api/test_analyzer.py | # -*- coding: utf-8 -*-
import timeside
from sys import stdout
import os.path
import numpy
class TestAnalyzer:
graphers = timeside.core.processors(timeside.api.IGrapher)
decoders = timeside.core.processors(timeside.api.IDecoder)
encoders= timeside.core.processors(timeside.api.IEncoder)
analyzers = timeside.core.processors(timeside.api.IAnalyzer)
def __init__(self, path):
self.source = os.path.join(os.path.dirname(__file__), path)
print "Processing %s" % self.source
self.decoder = timeside.decoder.FileDecoder(self.source)
print 'format: ', self.decoder.format()
self.pipe = self.decoder
self.analyzers_sub_pipe = []
def process(self):
for analyzer in self.analyzers:
sub_pipe = analyzer()
self.analyzers_sub_pipe.append(sub_pipe)
self.pipe = self.pipe | sub_pipe
self.pipe.run()
def results(self):
analyzers = []
for analyzer in self.analyzers_sub_pipe:
value = analyzer.result()
analyzers.append({'name':analyzer.name(),
'id':analyzer.id(),
'unit':analyzer.unit(),
'value':str(value)})
print analyzers
test = TestAnalyzer('../samples/guitar.wav')
#test = TestAnalyzer('/mnt/data4/Music1/Cellar_playlist_tmp/JanoB/VirulentAcidMix.wav')
test.process()
test.results()
| agpl-3.0 | Python |
|
b634e5966c48299eda8cc9a3dcd4e8f769df6812 | Create 5kyu_tree_to_list.py | Orange9000/Codewars,Orange9000/Codewars | Solutions/5kyu/5kyu_tree_to_list.py | Solutions/5kyu/5kyu_tree_to_list.py | class Node:
def __init__(self, data, child_nodes=None):
self.data = data
self.child_nodes = child_nodes
def tree_to_list(tr):
call = to_list(tr, 0, [])
return call
def to_list(tr, depth, res):
res.append([tr.data, depth])
if tr.child_nodes:
for i in tr.child_nodes:
to_list(i, depth+1, res)
return [i[0] for i in sorted(res, key = lambda x: x[1])]
| mit | Python |
|
f1cb1cb0cdcf7ef3d5d0e286bfbd9d9664239098 | Create 6kyu_alphabetized.py | Orange9000/Codewars,Orange9000/Codewars | Solutions/6kyu/6kyu_alphabetized.py | Solutions/6kyu/6kyu_alphabetized.py | def alphabetized(s):
return ''.join(s for s in sorted(s, key=lambda s: s.lower()) if s.isalpha())
| mit | Python |
|
0f55bd7e100dca1ef94dfe2f47b0f46774197e3f | Create cbus.py | drmcinnes/python-C-BUS | cbus.py | cbus.py | #!/usr/bin/python3
#console command for lighting control of c-bus network
#add command line switches for changing the default ip and port
#add option for immediate return i.e. dont wait for return codes
#cbus on 6, cbus off 7, cbus ramp 7m 100
#parse command line, convert time to closest value
# Copyright 2014 Darren McInnes codemonkey[at}archer.com(dot]au
#
# Permission to use, copy, modify, distribute this
# software and its documentation for any purpose is hereby granted
# without fee, provided that the above copyright notice appear in
# all copies and that both that the copyright notice and this
# permission notice and warranty disclaimer appear in supporting
# documentation, and that the name of the author not be used in
# advertising or publicity pertaining to distribution of the
# software without specific, written prior permission.
# The author disclaims all warranties with regard to this
# software, including all implied warranties of merchantability
# and fitness due to it being crap. In no event shall the author
# be liable for any special, indirect or consequential damages or
# any damages whatsoever resulting from loss of use, data or profits,
# whether in an action of contract, negligence, arising out of or in
# connection with the use or performance of this software.
import os
import sys #handles command line arguments
import socket
import time
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("command", choices=["off", "on", "ramp"], help="off/on/ramp")
parser.add_argument("group", type=int, choices=range(0,254), help="group between 0 and 254")
parser.add_argument("-a", "--address", default="192.168.0.105", help="network address of c-gate server")
parser.add_argument("-p", "--port",type=int, default="20023", help="command port number")
parser.add_argument("-n", "--net", type=int, default="254", help="c-bus network number")
parser.add_argument("-l", "--lighting", type=int, default="56", help="c-bus application number")
parser.add_argument("-r", "--ramp", type=int, default="0", help="ramp speed 0s to 17m")
#parser.add_argument("-p", "--level", type=int, default="100", help="level")
args = parser.parse_args()
#print (args.echo)
#print (args.gr
if args.command=="ramp":
x = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
x.connect((args.address, args.port))
data = x.recv(4096)
x.sendall(bytes(args.command+' '+str(args.net)+'/'+str(args.lighting)+'/'+str(args.group)+'\n','UTF-8'))
# time.sleep(.1)
data = x.recv(4096)
x.close()
else:
x = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
x.connect((args.address, args.port))
data = x.recv(4096)
x.sendall(bytes(args.command+' '+str(args.net)+'/'+str(args.lighting)+'/'+str(args.group)+'\n','UTF-8'))
# time.sleep(.1)
data = x.recv(4096)
x.close()
print(data)
| mit | Python |
|
2eddc73e2d7b78fbfac521eb1e6014ca26421510 | Add forgotten migration | Cartocite/osmada | osmdata/migrations/0012_auto_20170829_1539.py | osmdata/migrations/0012_auto_20170829_1539.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-08-29 15:39
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('osmdata', '0011_auto_20170824_1521'),
]
operations = [
migrations.AlterField(
model_name='osmelement',
name='bounds',
field=models.OneToOneField(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='osmdata.Bounds'),
),
]
| agpl-3.0 | Python |
|
d00243d9500118400f7e08409d9564b15b2b4148 | Add trivial CLI example | AlienVault-Labs/OTX-Python-SDK | examples/cliExample.py | examples/cliExample.py | # Very Simple CLI example
from OTXv2 import OTXv2
import IndicatorTypes
import argparse
# Your API key
API_KEY = ''
OTX_SERVER = 'https://otx.alienvault.com/'
otx = OTXv2(API_KEY, server=OTX_SERVER)
parser = argparse.ArgumentParser(description='Description of your program')
parser.add_argument('-i', '--ip', help='IP eg; 4.4.4.4', required=False)
parser.add_argument(
'-d', '--domain', help='Domain eg; alienvault.com', required=False)
parser.add_argument('-ho', '--hostname',
help='Hostname eg; www.alienvault.com', required=False)
parser.add_argument(
'-u', '--url', help='URL eg; http://www.alienvault.com', required=False)
parser.add_argument(
'-m', '--md5', help='MD5 Hash of a file eg; 7b42b35832855ab4ff37ae9b8fa9e571', required=False)
parser.add_argument(
'-p', '--pulse', help='Search pulses for a string eg; Dridex', required=False)
parser.add_argument('-s', '--subscribed', help='Get pulses you are subscribed to',
required=False, action='store_true')
args = vars(parser.parse_args())
if args["ip"]:
print (str(otx.get_indicator_details_full(IndicatorTypes.IPv4, args["ip"])))
if args["domain"]:
print (str(otx.get_indicator_details_full(IndicatorTypes.DOMAIN, args["domain"])))
if args["hostname"]:
print (str(otx.get_indicator_details_full(IndicatorTypes.HOSTNAME, args["hostname"])))
if args["url"]:
print (str(otx.get_indicator_details_full(IndicatorTypes.URL, args["url"])))
if args["md5"]:
print (str(otx.get_indicator_details_full(IndicatorTypes.FILE_HASH_MD5, args["md5"])))
if args["pulse"]:
result = otx.search_pulses(args["pulse"])
print (str(result.get('results')))
if args["subscribed"]:
print (str(otx.getall(max_page=3, limit=5))) | apache-2.0 | Python |
|
ecc8a93ddda784102311ebfd4c3c93624f356778 | Add migration to add strip_html sql function | Connexions/cnx-archive,Connexions/cnx-archive | cnxarchive/sql/migrations/20160723123620_add_sql_function_strip_html.py | cnxarchive/sql/migrations/20160723123620_add_sql_function_strip_html.py | # -*- coding: utf-8 -*-
def up(cursor):
cursor.execute("""\
CREATE OR REPLACE FUNCTION strip_html(html_text TEXT)
RETURNS text
AS $$
import re
return re.sub('<[^>]*?>', '', html_text, re.MULTILINE)
$$ LANGUAGE plpythonu IMMUTABLE;
""")
def down(cursor):
cursor.execute("DROP FUNCTION IF EXISTS strip_html(TEXT)")
| agpl-3.0 | Python |
|
0f5b15a1f909c79b40a3f2655d00bc7852d41847 | add missing migration | geometalab/osmaxx-frontend,geometalab/osmaxx,geometalab/osmaxx-frontend,geometalab/osmaxx,geometalab/osmaxx-frontend,geometalab/osmaxx,geometalab/drf-utm-zone-info,geometalab/drf-utm-zone-info,geometalab/osmaxx-frontend,geometalab/osmaxx | conversion_service/conversion_job/migrations/0003_auto_20151120_1528.py | conversion_service/conversion_job/migrations/0003_auto_20151120_1528.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('conversion_job', '0002_auto_20151119_1332'),
]
operations = [
migrations.AlterField(
model_name='conversionjob',
name='status',
field=models.CharField(max_length=20, verbose_name='job status', default='new', choices=[('error', 'error'), ('new', 'new'), ('queued', 'queued'), ('started', 'started'), ('done', 'done')]),
),
migrations.AlterField(
model_name='gisformat',
name='progress',
field=models.CharField(max_length=20, verbose_name='progress', default='new', choices=[('error', 'error'), ('new', 'new'), ('received', 'received'), ('started', 'started'), ('successful', 'successful')]),
),
]
| mit | Python |
|
ed45aa20bc54714c6eb355417520c3d90a6b47fc | Add init.py | qqbuby/readthedocs-docker | init.py | init.py | #!/usr/bin/env python
import os
import sys
import django
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'readthedocs.settings.dev')
sys.path.append(os.getcwd())
django.setup()
from django.contrib.auth.models import User
admin = User.objects.create_user('admin', '', 'admin')
admin.is_superuser = True
admin.is_staff = True
admin.save()
test = User.objects.create_user('test', '', 'test')
test.is_staff = True
test.save()
| mit | Python |
|
67d86229279e979d8ef5ac54e5ed8ca85c32ff2e | add another sample script (multiple.py). | maximumG/exscript,knipknap/exscript,maximumG/exscript,knipknap/exscript | demos/multiple.py | demos/multiple.py | #!/usr/bin/env python
from Exscript import Host
from Exscript.util.interact import read_login
from Exscript.util.template import eval_file
from Exscript.util.start import start
def one(conn):
conn.open()
conn.authenticate()
conn.autoinit()
conn.execute('show ip int brie')
def two(conn):
eval_file(conn, 'mytemplate.exscript', interface = 'POS1/0')
account = read_login()
# Start on one host.
host1 = Host('localhost')
host1.set('myvariable', 'foobar')
start(account, host1, one)
# Start on another.
host2 = Host('otherhost1')
host3 = Host('otherhost2')
start(account, [host1, host2], two)
| mit | Python |
|
3704654e704c0595e933f4ab2832e945816afde8 | Add setup.py file | schmidt4brains/Examples,schmidt4brains/Examples,AquaticInformatics/Examples,schmidt4brains/Examples,schmidt4brains/Examples,AquaticInformatics/Examples,schmidt4brains/Examples,AquaticInformatics/Examples,AquaticInformatics/Examples,AquaticInformatics/Examples | TimeSeries/PublicApis/Python/setup.py | TimeSeries/PublicApis/Python/setup.py | from setuptools import setup
setup(
name="aquarius-timeseries-client",
py_modules=["timeseries_client"],
version="0.1",
description="Python client for Aquarius TimeSeries API",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
url="https://github.com/AquaticInformatics/Examples",
install_requires=(
"requests",
"pyrfc3339"
)
)
| apache-2.0 | Python |
|
42e1447db973cce539353912eada05b26870bae6 | Add serial test connection. | salkinium/bachelor,salkinium/bachelor,salkinium/bachelor | experiment_control/test_serial_connection.py | experiment_control/test_serial_connection.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2014, Niklas Hauser
# All rights reserved.
#
# The file is part of my bachelor thesis and is released under the 3-clause BSD
# license. See the file `LICENSE` for the full license governing this code.
# -----------------------------------------------------------------------------
import os, sys, time
import logging
sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'tinyos', 'support', 'sdk', 'python'))
from tinyos.message import *
from tinyos.message.Message import *
from tinyos.message.SerialPacket import *
from tinyos.packet.Serial import Serial
from messages import *
class Connection(object):
def __init__(self, device=None):
super(Connection, self).__init__()
self.logger = logging.getLogger('Connection.({})'.format(device))
self.logger.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
# console logging
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
ch.setFormatter(formatter)
self.logger.addHandler(ch)
self.mif = MoteIF.MoteIF()
self.device = device
self.tos_source = self.mif.addSource("serial@" + device)
self.mif.addListener(self, SerialMessage.SerialMessage)
self.mif.addListener(self, RadioMessage.RadioMessage)
self.mif.addListener(self, SensorMessage.SensorMessage)
self.logger.info("listening")
self.temperature = 0
self.humidity = 0
def receive(self, src, msg):
if msg.get_amType() == SensorMessage.AM_TYPE:
m = SensorMessage.SensorMessage(msg.dataGet())
self.temperature = m.get_temperature()*0.01 - 40.1
linear_humidity = -2.0468 + 0.0367 * m.get_humidity() + (-1.5955e-6 * m.get_humidity())**2
self.humidity = (self.temperature - 25) * (0.01 + 0.00008 * m.get_humidity()) + linear_humidity
self.logger.debug("SensorMessage: NodeId={}, Temp={:.1f}C, Hum={:.1f}%" \
.format(m.get_nodeid(), self.temperature, self.humidity))
elif msg.get_amType() == SerialMessage.AM_TYPE:
m = SerialMessage.SerialMessage(msg.dataGet())
self.logger.info("SerialMessage: {}".format(str(m)))
elif msg.get_amType() == RadioMessage.AM_TYPE:
m = RadioMessage.RadioMessage(msg.dataGet())
self.logger.info("RadioMessage: {}".format(str(m)))
else:
self.logger.warn("Unknown Message: {}".format(str(msg)))
def transmit(self, addr, msg):
self.logger.info("Transmitting: addr={} {}".format(addr, msg))
self.mif.sendMsg(self.tos_source, addr, msg.get_amType(), 0, msg)
if __name__ == "__main__":
sender = Connection("/dev/ttyUSB3:telos")
receiver = Connection("/dev/ttyUSB1:telos")
data = [0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,
0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,
0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9]
# data = [0x88,0x88,0x88,0x88,0x88,0x88,0x88,0x88,0x88,0x88,
# 0x88,0x88,0x88,0x88,0x88,0x88,0x88,0x88,0x88,0x88,
# 0x88,0x88,0x88,0x88,0x88,0x88,0x88,0x88,0x88,0x88]
rawData = chr(0)*20 + "".join(map(chr, data))
tx = SerialMessage.SerialMessage()
tx.set_header_channel(26)
tx.set_header_type(SerialMessage.SerialMessage.get_amType())
tx.set_header_power(3)
tx.set_header_len(len(data))
tx.set_header_nodeid(0)
tx.set_data(data)
print tx.data
time.sleep(1)
sender.transmit(1, tx)
while(1):
pass
| bsd-2-clause | Python |
|
da22d8dffadbb4713e715aca7918942f445090c9 | embed video form and model fields | hellhovnd/django-embed-video,mpachas/django-embed-video,mpachas/django-embed-video,hellhovnd/django-embed-video,yetty/django-embed-video,jazzband/django-embed-video,yetty/django-embed-video,jazzband/django-embed-video | embed_video/fields.py | embed_video/fields.py | from django.db import models
from django import forms
from django.utils.translation import ugettext_lazy as _
from .base import detect_backend
__all__ = ('EmbedVideoField', 'EmbedVideoFormField')
class EmbedVideoField(models.URLField):
def formfield(self, **kwargs):
defaults = {'form_class': EmbedVideoFormField}
defaults.update(kwargs)
return super(EmbedVideoField, self).formfield(**defaults)
class EmbedVideoFormField(forms.URLField):
def validate(self, url):
super(EmbedVideoFormField, self).validate(url)
try:
detect_backend(url)
except:
raise forms.ValidationError(_(u'URL could not be recognized.'))
return url
| mit | Python |
|
b81028067cf65b2ee3a155d081e7983a1de70d5f | Add mistakenly omitted migrations | recklessromeo/otm-core,maurizi/otm-core,clever-crow-consulting/otm-core,clever-crow-consulting/otm-core,maurizi/otm-core,clever-crow-consulting/otm-core,maurizi/otm-core,recklessromeo/otm-core,recklessromeo/otm-core,RickMohr/otm-core,RickMohr/otm-core,clever-crow-consulting/otm-core,recklessromeo/otm-core,maurizi/otm-core,RickMohr/otm-core,RickMohr/otm-core | opentreemap/treemap/migrations/0005_auto_20150729_1046.py | opentreemap/treemap/migrations/0005_auto_20150729_1046.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('treemap', '0004_auto_20150720_1523'),
]
operations = [
migrations.AlterField(
model_name='fieldpermission',
name='permission_level',
field=models.IntegerField(default=0, choices=[(0, 'Invisible'), (1, 'Read Only'), (2, 'Pending Write Access'), (3, 'Full Write Access')]),
),
migrations.AlterField(
model_name='role',
name='default_permission',
field=models.IntegerField(default=0, choices=[(0, 'Invisible'), (1, 'Read Only'), (2, 'Pending Write Access'), (3, 'Full Write Access')]),
),
]
| agpl-3.0 | Python |
|
1fa74f6a6a5faeb9579c889df32e4bfe8d6908df | Add migration | softwaresaved/fat,softwaresaved/fat,softwaresaved/fat,softwaresaved/fat | fat/migrations/0059_event_extra_sponsored.py | fat/migrations/0059_event_extra_sponsored.py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2016-08-08 10:16
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('fat', '0058_auto_20160808_1007'),
]
operations = [
migrations.AddField(
model_name='event',
name='extra_sponsored',
field=models.TextField(blank=True),
),
]
| bsd-3-clause | Python |
|
62c70b301ffc1e178c3bd54bd81291876b3883ea | Add simple linear interpolation filling. | lmjohns3/cube-experiment,lmjohns3/cube-experiment,lmjohns3/cube-experiment | analysis/03-fill-dropouts-linear.py | analysis/03-fill-dropouts-linear.py | #!/usr/bin/env python
from __future__ import division
import climate
import lmj.cubes
import lmj.cubes.fill
import numpy as np
import pandas as pd
logging = climate.get_logger('fill')
def fill(dfs, window):
'''Complete missing marker data using linear interpolation.
This method alters the given `dfs` in-place.
Parameters
----------
dfs : list of pd.DataFrame
Frames of source data. The frames will be stacked into a single large
frame to use during SVT. This stacked frame will then be split and
returned.
window : int
Model windows of this many consecutive frames.
'''
df = lmj.cubes.fill.stack(dfs, window)
centers = lmj.cubes.fill.center(df)
pos, _, _ = lmj.cubes.fill.window(df, window, interpolate=True)
lmj.cubes.fill.update(df, pos, window)
lmj.cubes.fill.restore(df, centers)
lmj.cubes.fill.unstack(df, dfs)
def main(args):
lmj.cubes.fill.main(args, lambda ts: fill([t.df for t in ts], args.window))
if __name__ == '__main__':
climate.call(main)
| mit | Python |
|
7942254131bcf005d5a5f1bb33ca7d1ffff1b311 | Create keyAllCtrls.py | aaronfang/personal_scripts | af_scripts/blendshapes/keyAllCtrls.py | af_scripts/blendshapes/keyAllCtrls.py | import maya.cmds as cmds
import maya.mel as mel
cmds.select(cmds.ls('*:*.faceCtrl', o=1))
mel.eval('doSetKeyframeArgList 6 { "4","0","0","0","1","0","0","animationList","0","1","0" };')
| mit | Python |
|
f51c4abc95fda5504e7c7a5ad87355698798ddd1 | create temporary streaming solution | benbroce3/PiCamServer,benbroce3/PiCamServer,benbroce3/PiCamServer,benbroce3/PiCamServer | temp_vidstream.py | temp_vidstream.py | import picamera
with picamera.PiCamera() as camera:
camera.resolution = (640, 480)
camera.start_recording('vidstream.mp4')
camera.wait_recording(60)
camera.stop_recording()
| mit | Python |
|
89d27dd0a28f84c99930c0f1dad496e525f62272 | migrate to namespace table | EthanBlackburn/sync-engine,PriviPK/privipk-sync-engine,wakermahmud/sync-engine,nylas/sync-engine,EthanBlackburn/sync-engine,closeio/nylas,rmasters/inbox,nylas/sync-engine,ErinCall/sync-engine,Eagles2F/sync-engine,gale320/sync-engine,gale320/sync-engine,wakermahmud/sync-engine,ErinCall/sync-engine,ErinCall/sync-engine,ErinCall/sync-engine,PriviPK/privipk-sync-engine,EthanBlackburn/sync-engine,gale320/sync-engine,wakermahmud/sync-engine,closeio/nylas,PriviPK/privipk-sync-engine,Eagles2F/sync-engine,jobscore/sync-engine,wakermahmud/sync-engine,Eagles2F/sync-engine,PriviPK/privipk-sync-engine,jobscore/sync-engine,EthanBlackburn/sync-engine,gale320/sync-engine,closeio/nylas,rmasters/inbox,gale320/sync-engine,nylas/sync-engine,PriviPK/privipk-sync-engine,wakermahmud/sync-engine,nylas/sync-engine,Eagles2F/sync-engine,jobscore/sync-engine,rmasters/inbox,rmasters/inbox,closeio/nylas,ErinCall/sync-engine,Eagles2F/sync-engine,EthanBlackburn/sync-engine,jobscore/sync-engine | migrations/versions/28c0d6c2f887_add_namespaces.py | migrations/versions/28c0d6c2f887_add_namespaces.py | """Add namespaces
Revision ID: 28c0d6c2f887
Revises: 4323056c0b78
Create Date: 2013-10-14 22:18:29.705865
"""
# revision identifiers, used by Alembic.
revision = '28c0d6c2f887'
down_revision = '4323056c0b78'
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
def upgrade():
### commands auto generated by Alembic - please adjust! ###
# op.create_table('namespaces',
# sa.Column('id', sa.Integer(), nullable=False),
# sa.Column('user_id', sa.Integer(), nullable=False),
# sa.PrimaryKeyConstraint('id')
# )
op.alter_column(u'foldermeta', u'user_id', new_column_name='namespace_id',
existing_type=mysql.INTEGER(display_width=11))
op.alter_column(u'foldermeta', 'folder_name',
existing_type=mysql.VARCHAR(length=255),
nullable=False)
op.alter_column(u'foldermeta', 'msg_uid',
existing_type=mysql.INTEGER(display_width=11),
nullable=False)
op.alter_column(u'messagemeta', u'user_id', new_column_name='namespace_id',
existing_type=mysql.INTEGER(display_width=11))
op.alter_column(u'rawmessage', u'user_id', new_column_name='namespace_id',
existing_type=mysql.INTEGER(display_width=11))
op.alter_column(u'uidvalidity', u'user_id', new_column_name='namespace_id',
existing_type=mysql.INTEGER(display_width=11))
op.add_column(u'users', sa.Column('root_namespace', sa.Integer(), nullable=False))
### end Alembic commands ###
def downgrade():
### commands auto generated by Alembic - please adjust! ###
op.drop_column(u'users', 'root_namespace')
op.add_column(u'uidvalidity', sa.Column(u'user_id', mysql.INTEGER(display_width=11), nullable=False))
op.drop_column(u'uidvalidity', 'namespace_id')
op.add_column(u'rawmessage', sa.Column(u'user_id', mysql.INTEGER(display_width=11), nullable=False))
op.drop_column(u'rawmessage', 'namespace_id')
op.add_column(u'messagemeta', sa.Column(u'user_id', mysql.INTEGER(display_width=11), nullable=False))
op.drop_column(u'messagemeta', 'namespace_id')
op.alter_column(u'foldermeta', 'msg_uid',
existing_type=mysql.INTEGER(display_width=11),
nullable=True)
op.alter_column(u'foldermeta', 'folder_name',
existing_type=mysql.VARCHAR(length=255),
nullable=True)
op.add_column(u'foldermeta', sa.Column(u'user_id', mysql.INTEGER(display_width=11), nullable=False))
op.drop_column(u'foldermeta', 'namespace_id')
op.drop_table('namespaces')
### end Alembic commands ###
# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4
# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4
| agpl-3.0 | Python |
|
55f2325354724cfe8b90324038daf2c1acaa916a | Add unit tests for OpenStack config defaults | SUSE/teuthology,dmick/teuthology,ceph/teuthology,SUSE/teuthology,dmick/teuthology,robbat2/teuthology,ktdreyer/teuthology,dmick/teuthology,caibo2014/teuthology,robbat2/teuthology,ktdreyer/teuthology,dreamhost/teuthology,SUSE/teuthology,caibo2014/teuthology,ceph/teuthology,dreamhost/teuthology | teuthology/openstack/test/test_config.py | teuthology/openstack/test/test_config.py | from teuthology.config import config
class TestOpenStack(object):
def setup(self):
self.openstack_config = config['openstack']
def test_config_clone(self):
assert 'clone' in self.openstack_config
def test_config_user_data(self):
os_type = 'rhel'
os_version = '7.0'
template_path = self.openstack_config['user-data'].format(
os_type=os_type,
os_version=os_version)
assert os_type in template_path
assert os_version in template_path
def test_config_ip(self):
assert 'ip' in self.openstack_config
def test_config_machine(self):
assert 'machine' in self.openstack_config
machine_config = self.openstack_config['machine']
assert 'disk' in machine_config
assert 'ram' in machine_config
assert 'cpus' in machine_config
def test_config_volumes(self):
assert 'volumes' in self.openstack_config
volumes_config = self.openstack_config['volumes']
assert 'count' in volumes_config
assert 'size' in volumes_config
| mit | Python |
|
526d58fb917a4e098018f733b4c0b254417140b4 | Add @log_route decorator | lsst-sqre/ltd-keeper,lsst-sqre/ltd-keeper | keeper/logutils.py | keeper/logutils.py | """Logging helpers and utilities.
"""
__all__ = ['log_route']
from functools import wraps
from timeit import default_timer as timer
import uuid
from flask import request, make_response
import structlog
def log_route():
"""Route decorator to initialize a thread-local logger for a route.
"""
def decorator(f):
@wraps(f)
def decorated_function(*args, **kwargs):
# Initialize a timer to capture the response time
# This is for convenience, in addition to route monitoring.
start_time = timer()
# Initialize a new thread-local logger and add a unique request
# ID to its context.
# http://www.structlog.org/en/stable/examples.html
logger = structlog.get_logger()
log = logger.new(
request_id=str(uuid.uuid4()),
path=request.path,
method=request.method,
)
# Pass through route
response = f(*args, **kwargs)
response = make_response(response)
# Close out the logger
end_time = timer()
log.info(
status=response.status_code,
response_time=end_time - start_time)
return response
return decorated_function
return decorator
| mit | Python |
|
3f3115a0a9c7407820b3b10c06dcfa4f92ac6e57 | Add owned book scaffold | mdzhang/goodreads-api-client-python | goodreads_api_client/resources/owned_book.py | goodreads_api_client/resources/owned_book.py | # -*- coding: utf-8 -*-
"""Module containing owned book resource class."""
from goodreads_api_client.exceptions import OauthEndpointNotImplemented
from goodreads_api_client.resources.base import Resource
class OwnedBook(Resource):
def create(self):
raise OauthEndpointNotImplemented('owned_book.compare')
def destroy(self):
raise OauthEndpointNotImplemented('owned_book.destroy')
def list(self):
raise OauthEndpointNotImplemented('owned_book.list')
def show(self):
raise OauthEndpointNotImplemented('owned_book.show')
def update(self):
raise OauthEndpointNotImplemented('owned_book.update')
| mit | Python |
|
5d99b7c2dfbfbb776716f2258d560bab2602531f | Create main.py | Otend/backlog | main.py | main.py | # -*- coding: utf-8 -*-
#Backlog Manager
#programmed by Ian Hitterdal (otend)
#licensed under MIT license
import work
import random
def addWork(medium):
#input: valid medium string
#user input: work title string
#output: none
#user output: none, really
global workDict
global mediumList
if medium not in mediumList:
print("Invalid medium, otend did something wrong")
else:
inName = input("What is the name of the work? ")
workDict[medium].append(work.Work(inName))
def pickMedium():
#input: none
#user input: integer to choose a medium from the list
#output: valid medium string
global mediumList
print("Which medium would you like to use?")
n = 1
for med in mediumList:
print(n,". ",med)
n = n+1
choice = int(input("Enter a number. "))
return mediumList[choice-1]
def chooseWork(medium):
#input: valid medium string
#user input: affirmation of viewing
#output: none
#user output: work chosen
global workDict
valList = []
for item in workDict[medium]:
if item.wasViewed == False:
valList.append(item)
if len(valList) == 0:
print("No works.")
else:
a = random.choice(workDict[medium])
print("You should watch/play/whatever...")
print(a.name,"\n")
b = input("Did you watch it? y/n")
if(b == "y"):
a.wasViewed = True
def listWork(medium):
#Input: string that is in the medium list
#output: none
#user output: all entries present in the list for that medium.
global workDict
print("Here are the works registered for {}.",medium)
for i in workDict[medium]:
print(i)
def watDo():
#input: none
#user input: choice of task
#output: none
#user output: tasks available, other outputs dependent on validity of choice
#valid: goodbye or none
#invalid: error message
print("What do you want to do?")
print("1. Add a work.")
print("2. Have a work chosen.")
print("3. List works.")
print("4. Quit.")
choice = input("Enter a number.")
if choice not in ["1","2","3","4"]:
print("You have entered an invalid choice. Please try again.")
watDo()
elif choice == "4":
print("Goodbye.")
else:
a = pickMedium()
if(choice == "1"):
addWork(a)
watDo()
elif(choice == "2"):
chooseWork(a)
watDo()
else:
listWork(a)
watDo()
mediumList = ["film", "game", "show", "comic", "book", "album"]
workDict = dict()
for n in mediumList:
workDict[n] = list()
print("Welcome to Backlog Manager 0.1 Pre-Alpha!")
watDo()
| bsd-2-clause | Python |
|
f75d321b200217514cde901cc15cc2b798e3dcfe | Add new hipchat module | tobi-wan-kenobi/bumblebee-status,tobi-wan-kenobi/bumblebee-status | bumblebee/modules/hipchat.py | bumblebee/modules/hipchat.py | """Displays the unread messages count for an HipChat user
Requires the following library:
* requests
Parameters:
* hipchat.token: HipChat user access token, the token needs to have the 'View Messages' scope.
* hipchat.interval: Refresh interval in minutes (defaults to 5)
"""
import time
import functools
import bumblebee.input
import bumblebee.output
import bumblebee.engine
try:
import requests
except ImportError:
pass
HIPCHAT_API_URL = "https://www.hipchat.com/v2/readstate?expand=items.unreadCount"
class Module(bumblebee.engine.Module):
def __init__(self, engine, config):
super(Module, self).__init__(engine, config,
bumblebee.output.Widget(full_text=self.output)
)
self._count = 0
self._interval = int(self.parameter("interval", "5"))
self._nextcheck = 0
self._requests = requests.Session()
self._requests.headers.update({"Authorization":"Bearer {}".format(self.parameter("token", ""))})
immediate_update = functools.partial(self.update, immediate=True)
engine.input.register_callback(self, button=bumblebee.input.RIGHT_MOUSE, cmd=immediate_update)
def output(self, _):
return str(self._count)
def update(self, _, immediate=False):
if immediate or self._nextcheck < int(time.time()):
self._nextcheck = int(time.time()) + self._interval * 60
try:
self._count = 0
items = self._requests.get(HIPCHAT_API_URL).json().get('items')
self._count = sum([item.get('unreadCount').get('count') for item in items])
except Exception:
self._count = "n/a"
# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4
| mit | Python |
|
786ed1d37ae5285bce1178d401d487233d4bd5b1 | Add greater/less than tests | openstack/openstack-ansible-plugins,os-cloud/openstack-ansible-plugins,os-cloud/openstack-ansible-plugins,openstack/openstack-ansible-plugins | test/osa_tests.py | test/osa_tests.py | #!/usr/bin/env python
# Copyright 2016, Rackspace US, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Extra tests for jinja2 templates in Ansible."""
def greater_than(value, reference_value):
"""Return true if value > reference_value."""
return value > reference_value
def less_than(value, reference_value):
"""Return true if value < reference_value."""
return value < reference_value
class TestModule:
"""Main test class from Ansible."""
def tests(self):
"""Add these tests to the list of tests available to Ansible."""
return {
'greater_than': greater_than,
'less_than': less_than,
}
| apache-2.0 | Python |
|
0a3488915938de418ab0675f4cc051769b470927 | Fix tab switching test on reference builds. | patrickm/chromium.src,axinging/chromium-crosswalk,Jonekee/chromium.src,chuan9/chromium-crosswalk,Jonekee/chromium.src,dednal/chromium.src,jaruba/chromium.src,ChromiumWebApps/chromium,mohamed--abdel-maksoud/chromium.src,Fireblend/chromium-crosswalk,TheTypoMaster/chromium-crosswalk,bright-sparks/chromium-spacewalk,ltilve/chromium,dednal/chromium.src,crosswalk-project/chromium-crosswalk-efl,hgl888/chromium-crosswalk-efl,ChromiumWebApps/chromium,jaruba/chromium.src,dednal/chromium.src,ondra-novak/chromium.src,littlstar/chromium.src,mohamed--abdel-maksoud/chromium.src,ChromiumWebApps/chromium,PeterWangIntel/chromium-crosswalk,Fireblend/chromium-crosswalk,mogoweb/chromium-crosswalk,ltilve/chromium,Pluto-tv/chromium-crosswalk,axinging/chromium-crosswalk,TheTypoMaster/chromium-crosswalk,patrickm/chromium.src,hgl888/chromium-crosswalk-efl,Fireblend/chromium-crosswalk,dushu1203/chromium.src,markYoungH/chromium.src,patrickm/chromium.src,crosswalk-project/chromium-crosswalk-efl,dushu1203/chromium.src,krieger-od/nwjs_chromium.src,axinging/chromium-crosswalk,dushu1203/chromium.src,krieger-od/nwjs_chromium.src,anirudhSK/chromium,hgl888/chromium-crosswalk,Just-D/chromium-1,M4sse/chromium.src,ondra-novak/chromium.src,crosswalk-project/chromium-crosswalk-efl,littlstar/chromium.src,hgl888/chromium-crosswalk,Chilledheart/chromium,krieger-od/nwjs_chromium.src,fujunwei/chromium-crosswalk,ondra-novak/chromium.src,littlstar/chromium.src,dushu1203/chromium.src,bright-sparks/chromium-spacewalk,dushu1203/chromium.src,hgl888/chromium-crosswalk-efl,Fireblend/chromium-crosswalk,hgl888/chromium-crosswalk-efl,krieger-od/nwjs_chromium.src,dushu1203/chromium.src,jaruba/chromium.src,Jonekee/chromium.src,Jonekee/chromium.src,markYoungH/chromium.src,crosswalk-project/chromium-crosswalk-efl,ltilve/chromium,ltilve/chromium,Just-D/chromium-1,jaruba/chromium.src,dednal/chromium.src,axinging/chromium-crosswalk,fujunwei/chromium-crosswalk,Pluto-tv/chromium-crosswalk,hgl888/chromium-crosswalk,krieger-od/nwjs_chromium.src,dednal/chromium.src,mogoweb/chromium-crosswalk,markYoungH/chromium.src,ChromiumWebApps/chromium,fujunwei/chromium-crosswalk,axinging/chromium-crosswalk,hgl888/chromium-crosswalk-efl,Chilledheart/chromium,Chilledheart/chromium,Pluto-tv/chromium-crosswalk,bright-sparks/chromium-spacewalk,mohamed--abdel-maksoud/chromium.src,ChromiumWebApps/chromium,Jonekee/chromium.src,patrickm/chromium.src,jaruba/chromium.src,Chilledheart/chromium,mohamed--abdel-maksoud/chromium.src,dushu1203/chromium.src,patrickm/chromium.src,hgl888/chromium-crosswalk-efl,ChromiumWebApps/chromium,Just-D/chromium-1,markYoungH/chromium.src,crosswalk-project/chromium-crosswalk-efl,Jonekee/chromium.src,dednal/chromium.src,dednal/chromium.src,mogoweb/chromium-crosswalk,ChromiumWebApps/chromium,mogoweb/chromium-crosswalk,ChromiumWebApps/chromium,mohamed--abdel-maksoud/chromium.src,TheTypoMaster/chromium-crosswalk,ltilve/chromium,Chilledheart/chromium,chuan9/chromium-crosswalk,M4sse/chromium.src,chuan9/chromium-crosswalk,Jonekee/chromium.src,littlstar/chromium.src,krieger-od/nwjs_chromium.src,PeterWangIntel/chromium-crosswalk,PeterWangIntel/chromium-crosswalk,crosswalk-project/chromium-crosswalk-efl,mogoweb/chromium-crosswalk,TheTypoMaster/chromium-crosswalk,anirudhSK/chromium,hgl888/chromium-crosswalk,krieger-od/nwjs_chromium.src,ltilve/chromium,ltilve/chromium,M4sse/chromium.src,mohamed--abdel-maksoud/chromium.src,Jonekee/chromium.src,krieger-od/nwjs_chromium.src,markYoungH/chromium.src,M4sse/chromium.src,TheTypoMaster/chromium-crosswalk,littlstar/chromium.src,anirudhSK/chromium,fujunwei/chromium-crosswalk,ondra-novak/chromium.src,TheTypoMaster/chromium-crosswalk,Fireblend/chromium-crosswalk,bright-sparks/chromium-spacewalk,chuan9/chromium-crosswalk,Jonekee/chromium.src,Chilledheart/chromium,dushu1203/chromium.src,bright-sparks/chromium-spacewalk,Just-D/chromium-1,Just-D/chromium-1,mohamed--abdel-maksoud/chromium.src,hgl888/chromium-crosswalk-efl,mogoweb/chromium-crosswalk,hgl888/chromium-crosswalk-efl,bright-sparks/chromium-spacewalk,PeterWangIntel/chromium-crosswalk,anirudhSK/chromium,anirudhSK/chromium,ondra-novak/chromium.src,axinging/chromium-crosswalk,jaruba/chromium.src,M4sse/chromium.src,axinging/chromium-crosswalk,M4sse/chromium.src,M4sse/chromium.src,Fireblend/chromium-crosswalk,anirudhSK/chromium,mogoweb/chromium-crosswalk,TheTypoMaster/chromium-crosswalk,ChromiumWebApps/chromium,M4sse/chromium.src,mohamed--abdel-maksoud/chromium.src,anirudhSK/chromium,patrickm/chromium.src,markYoungH/chromium.src,ChromiumWebApps/chromium,chuan9/chromium-crosswalk,ondra-novak/chromium.src,jaruba/chromium.src,krieger-od/nwjs_chromium.src,chuan9/chromium-crosswalk,Just-D/chromium-1,dednal/chromium.src,anirudhSK/chromium,axinging/chromium-crosswalk,Jonekee/chromium.src,Pluto-tv/chromium-crosswalk,markYoungH/chromium.src,littlstar/chromium.src,chuan9/chromium-crosswalk,mogoweb/chromium-crosswalk,krieger-od/nwjs_chromium.src,markYoungH/chromium.src,fujunwei/chromium-crosswalk,ondra-novak/chromium.src,fujunwei/chromium-crosswalk,hgl888/chromium-crosswalk-efl,anirudhSK/chromium,dednal/chromium.src,Pluto-tv/chromium-crosswalk,mohamed--abdel-maksoud/chromium.src,anirudhSK/chromium,patrickm/chromium.src,dushu1203/chromium.src,TheTypoMaster/chromium-crosswalk,anirudhSK/chromium,bright-sparks/chromium-spacewalk,ondra-novak/chromium.src,Pluto-tv/chromium-crosswalk,crosswalk-project/chromium-crosswalk-efl,dushu1203/chromium.src,fujunwei/chromium-crosswalk,hgl888/chromium-crosswalk,PeterWangIntel/chromium-crosswalk,krieger-od/nwjs_chromium.src,Fireblend/chromium-crosswalk,bright-sparks/chromium-spacewalk,fujunwei/chromium-crosswalk,ChromiumWebApps/chromium,M4sse/chromium.src,jaruba/chromium.src,anirudhSK/chromium,axinging/chromium-crosswalk,hgl888/chromium-crosswalk-efl,littlstar/chromium.src,mogoweb/chromium-crosswalk,hgl888/chromium-crosswalk,TheTypoMaster/chromium-crosswalk,PeterWangIntel/chromium-crosswalk,PeterWangIntel/chromium-crosswalk,hgl888/chromium-crosswalk,ltilve/chromium,axinging/chromium-crosswalk,Jonekee/chromium.src,hgl888/chromium-crosswalk,dednal/chromium.src,Fireblend/chromium-crosswalk,mohamed--abdel-maksoud/chromium.src,littlstar/chromium.src,Fireblend/chromium-crosswalk,hgl888/chromium-crosswalk,patrickm/chromium.src,Pluto-tv/chromium-crosswalk,markYoungH/chromium.src,markYoungH/chromium.src,PeterWangIntel/chromium-crosswalk,ChromiumWebApps/chromium,Chilledheart/chromium,chuan9/chromium-crosswalk,Pluto-tv/chromium-crosswalk,PeterWangIntel/chromium-crosswalk,dushu1203/chromium.src,jaruba/chromium.src,Just-D/chromium-1,axinging/chromium-crosswalk,Chilledheart/chromium,M4sse/chromium.src,markYoungH/chromium.src,mogoweb/chromium-crosswalk,patrickm/chromium.src,Pluto-tv/chromium-crosswalk,crosswalk-project/chromium-crosswalk-efl,Just-D/chromium-1,jaruba/chromium.src,ltilve/chromium,dednal/chromium.src,ondra-novak/chromium.src,fujunwei/chromium-crosswalk,M4sse/chromium.src,Just-D/chromium-1,mohamed--abdel-maksoud/chromium.src,bright-sparks/chromium-spacewalk,Chilledheart/chromium,crosswalk-project/chromium-crosswalk-efl,jaruba/chromium.src,chuan9/chromium-crosswalk | tools/perf/measurements/tab_switching.py | tools/perf/measurements/tab_switching.py | # Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""The tab switching measurement.
This measurement opens pages in different tabs. After all the tabs have opened,
it cycles through each tab in sequence, and records a histogram of the time
between when a tab was first requested to be shown, and when it was painted.
"""
from metrics import histogram_util
from telemetry.core import util
from telemetry.page import page_measurement
from telemetry.page import page_runner
# TODO: Revisit this test once multitab support is finalized.
class TabSwitching(page_measurement.PageMeasurement):
def CustomizeBrowserOptions(self, options):
options.AppendExtraBrowserArg('--enable-stats-collection-bindings')
options.AppendExtraBrowserArg('--dom-automation')
options.AppendExtraBrowserArg('--reduce-security-for-dom-automation-tests')
def CanRunForPage(self, page):
return not page.page_set.pages.index(page)
def DidNavigateToPage(self, page, tab):
for i in xrange(1, len(page.page_set.pages)):
t = tab.browser.tabs.New()
page_state = page_runner.PageState()
page_state.PreparePage(page.page_set.pages[i], t)
page_state.ImplicitPageNavigation(page.page_set.pages[i], t)
def MeasurePage(self, _, tab, results):
"""Although this is called MeasurePage, we're actually using this function
to cycle through each tab that was opened via DidNavigateToPage and
thenrecord a single histogram for the tab switching metric.
"""
histogram_name = 'MPArch.RWH_TabSwitchPaintDuration'
histogram_type = histogram_util.BROWSER_HISTOGRAM
first_histogram = histogram_util.GetHistogramFromDomAutomation(
histogram_type, histogram_name, tab)
prev_histogram = first_histogram
for i in xrange(len(tab.browser.tabs)):
t = tab.browser.tabs[i]
t.Activate()
def _IsDone():
cur_histogram = histogram_util.GetHistogramFromDomAutomation(
histogram_type, histogram_name, tab)
diff_histogram = histogram_util.SubtractHistogram(
cur_histogram, prev_histogram)
return diff_histogram
util.WaitFor(_IsDone, 30)
prev_histogram = histogram_util.GetHistogramFromDomAutomation(
histogram_type, histogram_name, tab)
last_histogram = histogram_util.GetHistogramFromDomAutomation(
histogram_type, histogram_name, tab)
diff_histogram = histogram_util.SubtractHistogram(last_histogram,
first_histogram)
results.AddSummary(histogram_name, '', diff_histogram,
data_type='unimportant-histogram')
| # Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""The tab switching measurement.
This measurement opens pages in different tabs. After all the tabs have opened,
it cycles through each tab in sequence, and records a histogram of the time
between when a tab was first requested to be shown, and when it was painted.
"""
from metrics import histogram_util
from telemetry.core import util
from telemetry.page import page_measurement
from telemetry.page import page_runner
# TODO: Revisit this test once multitab support is finalized.
class TabSwitching(page_measurement.PageMeasurement):
def CustomizeBrowserOptions(self, options):
options.AppendExtraBrowserArg('--enable-stats-collection-bindings')
options.AppendExtraBrowserArg('--dom-automation')
def CanRunForPage(self, page):
return not page.page_set.pages.index(page)
def DidNavigateToPage(self, page, tab):
for i in xrange(1, len(page.page_set.pages)):
t = tab.browser.tabs.New()
page_state = page_runner.PageState()
page_state.PreparePage(page.page_set.pages[i], t)
page_state.ImplicitPageNavigation(page.page_set.pages[i], t)
def MeasurePage(self, _, tab, results):
"""Although this is called MeasurePage, we're actually using this function
to cycle through each tab that was opened via DidNavigateToPage and
thenrecord a single histogram for the tab switching metric.
"""
histogram_name = 'MPArch.RWH_TabSwitchPaintDuration'
histogram_type = histogram_util.BROWSER_HISTOGRAM
first_histogram = histogram_util.GetHistogramFromDomAutomation(
histogram_type, histogram_name, tab)
prev_histogram = first_histogram
for i in xrange(len(tab.browser.tabs)):
t = tab.browser.tabs[i]
t.Activate()
def _IsDone():
cur_histogram = histogram_util.GetHistogramFromDomAutomation(
histogram_type, histogram_name, tab)
diff_histogram = histogram_util.SubtractHistogram(
cur_histogram, prev_histogram)
return diff_histogram
util.WaitFor(_IsDone, 30)
prev_histogram = histogram_util.GetHistogramFromDomAutomation(
histogram_type, histogram_name, tab)
last_histogram = histogram_util.GetHistogramFromDomAutomation(
histogram_type, histogram_name, tab)
diff_histogram = histogram_util.SubtractHistogram(last_histogram,
first_histogram)
results.AddSummary(histogram_name, '', diff_histogram,
data_type='unimportant-histogram')
| bsd-3-clause | Python |
01d9134067852a1f9dfecf75f730f9fba14434e0 | Add test_gradient_checker.py | tensor-tang/Paddle,pengli09/Paddle,hedaoyuan/Paddle,reyoung/Paddle,luotao1/Paddle,putcn/Paddle,lispc/Paddle,QiJune/Paddle,baidu/Paddle,jacquesqiao/Paddle,reyoung/Paddle,Canpio/Paddle,lcy-seso/Paddle,hedaoyuan/Paddle,baidu/Paddle,pengli09/Paddle,chengduoZH/Paddle,PaddlePaddle/Paddle,pkuyym/Paddle,reyoung/Paddle,PaddlePaddle/Paddle,pkuyym/Paddle,yu239/Paddle,jacquesqiao/Paddle,pengli09/Paddle,reyoung/Paddle,lispc/Paddle,PaddlePaddle/Paddle,Canpio/Paddle,lcy-seso/Paddle,luotao1/Paddle,luotao1/Paddle,chengduoZH/Paddle,putcn/Paddle,pkuyym/Paddle,putcn/Paddle,pengli09/Paddle,yu239/Paddle,yu239/Paddle,hedaoyuan/Paddle,PaddlePaddle/Paddle,hedaoyuan/Paddle,luotao1/Paddle,pengli09/Paddle,jacquesqiao/Paddle,hedaoyuan/Paddle,Canpio/Paddle,PaddlePaddle/Paddle,yu239/Paddle,lispc/Paddle,jacquesqiao/Paddle,pengli09/Paddle,lcy-seso/Paddle,Canpio/Paddle,pkuyym/Paddle,lispc/Paddle,lcy-seso/Paddle,baidu/Paddle,yu239/Paddle,chengduoZH/Paddle,Canpio/Paddle,tensor-tang/Paddle,Canpio/Paddle,hedaoyuan/Paddle,baidu/Paddle,QiJune/Paddle,tensor-tang/Paddle,jacquesqiao/Paddle,PaddlePaddle/Paddle,lcy-seso/Paddle,pengli09/Paddle,QiJune/Paddle,hedaoyuan/Paddle,lispc/Paddle,chengduoZH/Paddle,baidu/Paddle,lispc/Paddle,reyoung/Paddle,jacquesqiao/Paddle,PaddlePaddle/Paddle,Canpio/Paddle,Canpio/Paddle,yu239/Paddle,QiJune/Paddle,QiJune/Paddle,hedaoyuan/Paddle,pengli09/Paddle,reyoung/Paddle,putcn/Paddle,QiJune/Paddle,chengduoZH/Paddle,luotao1/Paddle,tensor-tang/Paddle,luotao1/Paddle,pkuyym/Paddle,luotao1/Paddle,pkuyym/Paddle,tensor-tang/Paddle,putcn/Paddle,lispc/Paddle,putcn/Paddle,lispc/Paddle,lcy-seso/Paddle,yu239/Paddle,yu239/Paddle | python/paddle/v2/framework/tests/test_gradient_checker.py | python/paddle/v2/framework/tests/test_gradient_checker.py | import unittest
import numpy
from paddle.v2.framework.op import Operator
from gradient_checker import GradientChecker
from gradient_checker import get_numeric_gradient
class GetNumericGradientTest(unittest.TestCase):
def test_add_op(self):
add_op = Operator('add_two', X="X", Y="Y", Out="Z")
x = numpy.random.random((10, 1)).astype("float32")
y = numpy.random.random((10, 1)).astype("float32")
arr = get_numeric_gradient(add_op, {'X': x, "Y": y}, 'Z', 'X')
self.assertAlmostEqual(arr.mean(), 1.0, delta=1e-4)
def test_softmax_op(self):
def stable_softmax(x):
"""Compute the softmax of vector x in a numerically stable way."""
shiftx = x - numpy.max(x)
exps = numpy.exp(shiftx)
return exps / numpy.sum(exps)
def label_softmax_grad(Y, dY):
dX = Y * 0.0
for i in range(Y.shape[0]):
d = numpy.dot(Y[i, :], dY[i, :])
dX[i, :] = Y[i, :] * (dY[i, :] - d)
return dX
softmax_op = Operator("softmax", X="X", Y="Y")
X = numpy.random.random((2, 2)).astype("float32")
Y = numpy.apply_along_axis(stable_softmax, 1, X)
dY = numpy.ones(Y.shape)
dX = label_softmax_grad(Y, dY)
arr = get_numeric_gradient(softmax_op, {"X": X}, 'Y', 'X')
numpy.testing.assert_almost_equal(arr, dX, decimal=1e-2)
if __name__ == '__main__':
unittest.main()
| apache-2.0 | Python |
|
9779fc585d8d8d87580a47139742eb25bc52facd | Add new decorators module, move deprecated from utils over here | stoq/kiwi | kiwi/decorators.py | kiwi/decorators.py | #
# Kiwi: a Framework and Enhanced Widgets for Python
#
# Copyright (C) 2005 Async Open Source
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
# USA
#
# Author(s): Johan Dahlin <[email protected]>
#
import gobject
from kiwi import _warn
class deprecated(object):
def __init__(self, new):
self._new = new
def __call__(self, func):
def wrapper(*args, **kwargs):
_warn("%s is deprecated, use %s instead" % (func.__name__,
self._new))
return func(*args, **kwargs)
return wrapper
class delayed(object):
def __init__(self, delay):
self._delay = delay
self._timeout_id = -1
def __call__(self, func):
def real_call(args, kwargs):
func(*args, **kwargs)
self._timeout_id = -1
return False
def wrapper(*args, **kwargs):
# Only one call at a time
if self._timeout_id != -1:
return
self._timeout_id = gobject.timeout_add(self._delay,
real_call, args, kwargs)
return wrapper
| lgpl-2.1 | Python |
|
9258451157de31f3ece7e18fcb8ae43c433239f4 | add example to post files to Portals File System | exosite-garage/exosite_api_usage_examples | portals_api/upload_files_to_portals_file_system.py | portals_api/upload_files_to_portals_file_system.py | # Example that uploads a file to the Portals File System using Portals API
# Access Level- Portals Domain Administrator
# Note: Uses Python 'Requests' module for calling API
# APIs:
# - http://docs.exosite.com/portals/#update-file-content
import requests
import getpass
directory = "images" #default directory name
domain = "" #example: example.exosite.com
user_email = "" #example: [email protected] - assume administrator access to Portals Domain Solution
if domain == "":
domain = raw_input('Enter Portals Domain (e.g. "example.exosite.com": ')
if user_email == "":
user_email = raw_input('Enter Your Email Address: ')
user_password = getpass.getpass() #ask for password each time at prompt
# Files to upload
files = {"MyLogo.png":open("./MyLogo.png", "rb"),
"MyOtherLogo.jpg":open("./MyOtherLogo.jpg", "rb")
}
url = "https://"+domain+"/api/portals/v1/fs/"+directory
print 'Uploading files to ' + domain
r = requests.post(url, files=files, auth=(user_email, user_password))
print("Status: ", r.status_code)
r = requests.get(url)
if r.status_code == 200:
folder = r.json()
for directory, filepath in folder.iteritems():
for filename, filetype in filepath.iteritems():
print("/".join([url,directory,filename])) | bsd-2-clause | Python |
|
425d8ef0f439e9580c85e0dc04e5fe0c93cffddf | add 16 | ericdahl/project-euler,ericdahl/project-euler,ericdahl/project-euler,ericdahl/project-euler,ericdahl/project-euler,ericdahl/project-euler | p016.py | p016.py | # 2**15 = 32768 and the sum of its digits is 3+2+7+6+8=26
# what is the sum of the digits of the number 2**1000?
def f(n):
return sum([ int(c) for c in str(2**n)])
print f(1000)
| bsd-3-clause | Python |
|
2b73467ccfbf6e29047223f1c1e3250916b6ffdb | add 23 | ericdahl/project-euler,ericdahl/project-euler,ericdahl/project-euler,ericdahl/project-euler,ericdahl/project-euler,ericdahl/project-euler | p023.py | p023.py | from itertools import combinations_with_replacement
def divisors(n):
r = set()
for i in range(1, n / 2):
if n % i == 0:
r.add(i)
r.add(n / i)
r.discard(n)
return r
abundant = filter(lambda n: sum(divisors(n)) > n, range(2, 29000))
u = set(range(1, 29000))
for i in combinations_with_replacement(abundant, 2):
u.discard(sum(i))
print sum(u)
| bsd-3-clause | Python |
|
351f2779549add63963d4103fbe1b058dde59d85 | Add stupid test to make Jenkins happy. | otmaneJai/Zipline,enigmampc/catalyst,davidastephens/zipline,nborggren/zipline,Scapogo/zipline,semio/zipline,keir-rex/zipline,jimgoo/zipline-fork,jordancheah/zipline,dmitriz/zipline,chrjxj/zipline,erikness/AlephOne,YuepengGuo/zipline,zhoulingjun/zipline,StratsOn/zipline,euri10/zipline,wilsonkichoi/zipline,joequant/zipline,humdings/zipline,CarterBain/AlephNull,DVegaCapital/zipline,StratsOn/zipline,dkushner/zipline,zhoulingjun/zipline,enigmampc/catalyst,aajtodd/zipline,wilsonkichoi/zipline,MonoCloud/zipline,AlirezaShahabi/zipline,sketchytechky/zipline,dkushner/zipline,quantopian/zipline,stkubr/zipline,wubr2000/zipline,chrjxj/zipline,ronalcc/zipline,michaeljohnbennett/zipline,iamkingmaker/zipline,stkubr/zipline,umuzungu/zipline,aajtodd/zipline,cmorgan/zipline,iamkingmaker/zipline,magne-max/zipline-ja,otmaneJai/Zipline,davidastephens/zipline,grundgruen/zipline,bartosh/zipline,keir-rex/zipline,bartosh/zipline,kmather73/zipline,alphaBenj/zipline,morrisonwudi/zipline,kmather73/zipline,AlirezaShahabi/zipline,dhruvparamhans/zipline,jimgoo/zipline-fork,erikness/AlephOne,YuepengGuo/zipline,joequant/zipline,florentchandelier/zipline,dhruvparamhans/zipline,semio/zipline,CarterBain/AlephNull,morrisonwudi/zipline,gwulfs/zipline,alphaBenj/zipline,ChinaQuants/zipline,DVegaCapital/zipline,michaeljohnbennett/zipline,euri10/zipline,umuzungu/zipline,humdings/zipline,CDSFinance/zipline,ronalcc/zipline,dmitriz/zipline,quantopian/zipline,nborggren/zipline,wubr2000/zipline,magne-max/zipline-ja,grundgruen/zipline,cmorgan/zipline,Scapogo/zipline,mattcaldwell/zipline,florentchandelier/zipline,mattcaldwell/zipline,ChinaQuants/zipline,jordancheah/zipline,MonoCloud/zipline,CDSFinance/zipline,sketchytechky/zipline,gwulfs/zipline | zipline/test/test_sanity.py | zipline/test/test_sanity.py | from unittest2 import TestCase
class TestEnviroment(TestCase):
def test_universe(self):
# first order logic is working today. Yay!
self.assertTrue(True != False)
| apache-2.0 | Python |
|
67f5e754a5f90903e09a6a876d858d002c513f8a | Add initial draft of posterior models | lintusj1/elfi,lintusj1/elfi,elfi-dev/elfi,HIIT/elfi,elfi-dev/elfi | abcpy/posteriors.py | abcpy/posteriors.py | import scipy as sp
from .utils import stochastic_optimization
class BolfiPosterior():
def __init__(self, model, threshold, priors=None):
self.threshold = threshold
self.model = model
self.priors = [None] * model.n_var
self.ML, ML_val = stochastic_optimization(self._neg_unnormalized_loglikelihood_density, self.model.bounds, 10000)
print("ML parameters: %s" % (self.ML))
self.MAP, MAP_val = stochastic_optimization(self._neg_unnormalized_logposterior_density, self.model.bounds, 10000)
print("MAP parameters: %s" % (self.MAP))
def _unnormalized_loglikelihood_density(self, x):
mean, var, std = self.model.evaluate(x)
return sp.stats.norm.logcdf(self.threshold, mean, std)
def _unnormalized_likelihood_density(self, x):
return np.exp(self._unnormalized_loglikelihood_density(x))
def _neg_unnormalized_loglikelihood_density(self, x):
return -1 * self._unnormalized_loglikelihood_density(x)
def _unnormalized_logposterior_density(self, x):
return self._unnormalized_loglikelihood_density(x) + self._logprior_density(x)
def _unnormalized_posterior_density(self, x):
return np.exp(self._unnormalized_logposterior_density(x))
def _neg_unnormalized_logposterior_density(self, x):
return -1 * self._unnormalized_logposterior_density(x)
def _logprior_density(self, x):
logprior_density = 0.0
for xv, prior in zip(x, self.priors):
if prior is not None:
logprior_density += prior.getLogProbDensity(xv)
return logprior_density
def _prior_density(self, x):
return np.exp(self._logprior_density(x))
def _neg_logprior_density(self, x):
return -1 * self._logprior_density(x)
def sample(self):
return tuple([[v] for v in self.MAP])
| bsd-3-clause | Python |
|
8131bb276a467d7df00f7452616869d20d312eb7 | add api_view test | MySmile/mysmile,MySmile/mysmile | apps/api/tests/tests_view.py | apps/api/tests/tests_view.py | import datetime
from django.test import TestCase
from django.test.client import Client
from apps.pages.models import Page, Page_translation
class MySmileApiTestCase(TestCase):
def setUp(self):
some_page = Page.objects.create(id=1,
slug='index',
color='#FDA132',
photo='images/photo.png',
sortorder=1,
status=Page.STATUS_PUBLISHED,
ptype=Page.PTYPE_API,
updated_at=datetime.datetime.now(),
created_at=datetime.datetime.now())
Page_translation.objects.create(id=1,
page=some_page,
lang='en',
menu='Main',
col_central='lorem ipsum',
col_bottom_1='lorem ipsum',
col_bottom_2='lorem ipsum',
col_bottom_3='lorem ipsum',
meta_title='Welcome!',
meta_description='This is mane page!',
meta_keywords='Python3, Django',
photo_alt='',
photo_description = '',
updated_at=datetime.datetime.now(),
created_at=datetime.datetime.now())
self._client = Client()
def test_content_short(self):
response = self._client.get('/api/content')
self.assertEqual(response.status_code, 200)
def test_content_slug(self):
response = self._client.get('/api/content?slug=index')
self.assertEqual(response.status_code, 200)
def test_content_slug_lang(self):
response = self._client.get('/api/content?slug=index&lang=en')
self.assertEqual(response.status_code, 200)
def test_language(self):
response = self._client.get('/api/language')
self.assertEqual(response.status_code, 200)
def test_contact(self):
response = self._client.get('/api/contact')
self.assertEqual(response.status_code, 200)
| bsd-3-clause | Python |
|
6104fdc57931151f6cf3c8cd517f5efee17fe826 | Update repost_stock_for_deleted_bins_for_merging_items.py | indictranstech/erpnext,indictranstech/erpnext,geekroot/erpnext,geekroot/erpnext,Aptitudetech/ERPNext,gsnbng/erpnext,gsnbng/erpnext,gsnbng/erpnext,geekroot/erpnext,njmube/erpnext,indictranstech/erpnext,gsnbng/erpnext,indictranstech/erpnext,geekroot/erpnext,njmube/erpnext,njmube/erpnext,njmube/erpnext | erpnext/patches/v7_1/repost_stock_for_deleted_bins_for_merging_items.py | erpnext/patches/v7_1/repost_stock_for_deleted_bins_for_merging_items.py | from __future__ import unicode_literals
import frappe
from erpnext.stock.stock_balance import repost_stock
def execute():
frappe.reload_doc('manufacturing', 'doctype', 'production_order_item')
frappe.reload_doc('manufacturing', 'doctype', 'production_order')
modified_items = frappe.db.sql_list("""
select name from `tabItem`
where is_stock_item=1 and modified >= '2016-10-31'
""")
if not modified_items:
return
item_warehouses_with_transactions = []
transactions = ("Sales Order Item", "Material Request Item", "Purchase Order Item",
"Stock Ledger Entry", "Packed Item")
for doctype in transactions:
item_warehouses_with_transactions += list(frappe.db.sql("""
select distinct item_code, warehouse
from `tab{0}` where docstatus=1 and item_code in ({1})"""
.format(doctype, ', '.join(['%s']*len(modified_items))), tuple(modified_items)))
item_warehouses_with_transactions += list(frappe.db.sql("""
select distinct production_item, fg_warehouse
from `tabProduction Order` where docstatus=1 and production_item in ({0})"""
.format(', '.join(['%s']*len(modified_items))), tuple(modified_items)))
item_warehouses_with_transactions += list(frappe.db.sql("""
select distinct pr_item.item_code, pr.source_warehouse
from `tabProduction Order` pr, `tabProduction Order Item` pr_item
where pr_item.parent and pr.name and pr.docstatus=1 and pr_item.item_code in ({0})"""
.format(', '.join(['%s']*len(modified_items))), tuple(modified_items)))
item_warehouses_with_bin = list(frappe.db.sql("select distinct item_code, warehouse from `tabBin`"))
item_warehouses_with_missing_bin = list(
set(item_warehouses_with_transactions) - set(item_warehouses_with_bin))
for item_code, warehouse in item_warehouses_with_missing_bin:
repost_stock(item_code, warehouse)
| from __future__ import unicode_literals
import frappe
from erpnext.stock.stock_balance import repost_stock
def execute():
frappe.reload_doc('manufacturing', 'doctype', 'production_order_item')
modified_items = frappe.db.sql_list("""
select name from `tabItem`
where is_stock_item=1 and modified >= '2016-10-31'
""")
if not modified_items:
return
item_warehouses_with_transactions = []
transactions = ("Sales Order Item", "Material Request Item", "Purchase Order Item",
"Stock Ledger Entry", "Packed Item")
for doctype in transactions:
item_warehouses_with_transactions += list(frappe.db.sql("""
select distinct item_code, warehouse
from `tab{0}` where docstatus=1 and item_code in ({1})"""
.format(doctype, ', '.join(['%s']*len(modified_items))), tuple(modified_items)))
item_warehouses_with_transactions += list(frappe.db.sql("""
select distinct production_item, fg_warehouse
from `tabProduction Order` where docstatus=1 and production_item in ({0})"""
.format(', '.join(['%s']*len(modified_items))), tuple(modified_items)))
item_warehouses_with_transactions += list(frappe.db.sql("""
select distinct pr_item.item_code, pr.source_warehouse
from `tabProduction Order` pr, `tabProduction Order Item` pr_item
where pr_item.parent and pr.name and pr.docstatus=1 and pr_item.item_code in ({0})"""
.format(', '.join(['%s']*len(modified_items))), tuple(modified_items)))
item_warehouses_with_bin = list(frappe.db.sql("select distinct item_code, warehouse from `tabBin`"))
item_warehouses_with_missing_bin = list(
set(item_warehouses_with_transactions) - set(item_warehouses_with_bin))
for item_code, warehouse in item_warehouses_with_missing_bin:
repost_stock(item_code, warehouse)
| agpl-3.0 | Python |
142ec5bdca99d11236f2d479cf4dafbc7e8962a3 | test of the nis module | sk-/python2.7-type-annotator,sk-/python2.7-type-annotator,sk-/python2.7-type-annotator | Lib/test/test_nis.py | Lib/test/test_nis.py | import nis
verbose = 0
if __name__ == '__main__':
verbose = 1
maps = nis.maps()
for nismap in maps:
if verbose:
print nismap
mapping = nis.cat(nismap)
for k, v in mapping.items():
if verbose:
print ' ', k, v
if not k:
continue
if nis.match(k, nismap) <> v:
print "NIS match failed for key `%s' in map `%s'" % (k, nismap)
| mit | Python |
|
a35a6b715670e985c0bd711a4cb55df2a267e018 | Create downloader.py | EscapeLife/web_crawler | 3.下载缓存/downloader.py | 3.下载缓存/downloader.py | import urlparse
import urllib2
import random
import time
from datetime import datetime, timedelta
import socket
DEFAULT_AGENT = 'wswp'
DEFAULT_DELAY = 5
DEFAULT_RETRIES = 1
DEFAULT_TIMEOUT = 60
class Downloader:
def __init__(self, delay=DEFAULT_DELAY, user_agent=DEFAULT_AGENT, proxies=None, num_retries=DEFAULT_RETRIES, timeout=DEFAULT_TIMEOUT, opener=None, cache=None):
socket.setdefaulttimeout(timeout)
self.throttle = Throttle(delay)
self.user_agent = user_agent
self.proxies = proxies
self.num_retries = num_retries
self.opener = opener
self.cache = cache
def __call__(self, url):
result = None
if self.cache:
try:
result = self.cache[url]
except KeyError:
# url is not available in cache
pass
else:
if self.num_retries > 0 and 500 <= result['code'] < 600:
# server error so ignore result from cache and re-download
result = None
if result is None:
# result was not loaded from cache so still need to download
self.throttle.wait(url)
proxy = random.choice(self.proxies) if self.proxies else None
headers = {'User-agent': self.user_agent}
result = self.download(url, headers, proxy=proxy, num_retries=self.num_retries)
if self.cache:
# save result to cache
self.cache[url] = result
return result['html']
def download(self, url, headers, proxy, num_retries, data=None):
print 'Downloading:', url
request = urllib2.Request(url, data, headers or {})
opener = self.opener or urllib2.build_opener()
if proxy:
proxy_params = {urlparse.urlparse(url).scheme: proxy}
opener.add_handler(urllib2.ProxyHandler(proxy_params))
try:
response = opener.open(request)
html = response.read()
code = response.code
except Exception as e:
print 'Download error:', str(e)
html = ''
if hasattr(e, 'code'):
code = e.code
if num_retries > 0 and 500 <= code < 600:
# retry 5XX HTTP errors
return self._get(url, headers, proxy, num_retries-1, data)
else:
code = None
return {'html': html, 'code': code}
class Throttle:
"""Throttle downloading by sleeping between requests to same domain
"""
def __init__(self, delay):
# amount of delay between downloads for each domain
self.delay = delay
# timestamp of when a domain was last accessed
self.domains = {}
def wait(self, url):
"""Delay if have accessed this domain recently
"""
domain = urlparse.urlsplit(url).netloc
last_accessed = self.domains.get(domain)
if self.delay > 0 and last_accessed is not None:
sleep_secs = self.delay - (datetime.now() - last_accessed).seconds
if sleep_secs > 0:
time.sleep(sleep_secs)
self.domains[domain] = datetime.now()
| mit | Python |
|
6bf4f7491bdfe8a5afd5eb8cdb4a8fcb2af78b36 | Add commands/findCognateClassesCrossingMeanings.py | lingdb/CoBL-public,lingdb/CoBL-public,lingdb/CoBL-public,lingdb/CoBL-public | ielex/lexicon/management/commands/findCognateClassesCrossingMeanings.py | ielex/lexicon/management/commands/findCognateClassesCrossingMeanings.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
from collections import defaultdict
from django.core.management import BaseCommand
from ielex.lexicon.models import CognateJudgement, Lexeme
class Command(BaseCommand):
help = "Compiles a list of cognate classes,"\
"\nwhere each cognate class belongs to more than one meaning."
def handle(self, *args, **options):
lexemeMeaningMap = dict(Lexeme.objects.values_list('id', 'meaning_id'))
cogLexTuples = CognateJudgement.objects.values_list(
'cognate_class_id', 'lexeme_id')
cogMeaningMap = defaultdict(set)
for cogId, lexId in cogLexTuples:
cogMeaningMap[cogId].add(lexemeMeaningMap[lexId])
for cogId, mIdSet in cogMeaningMap.iteritems():
if len(mIdSet) > 1:
print("Cognate class %s has multiple meanings: %s." %
(cogId, mIdSet))
| bsd-2-clause | Python |
|
b7dd7f75f655f4fbcb34d8f9ec260a6f18e8f617 | Add utility to create administrative users. | materials-commons/materialscommons.org,materials-commons/materialscommons.org,materials-commons/materialscommons.org,materials-commons/materialscommons.org,materials-commons/materialscommons.org | backend/scripts/adminuser.py | backend/scripts/adminuser.py | #!/usr/bin/env python
import rethinkdb as r
from optparse import OptionParser
import sys
def create_group(conn):
group = {}
group['name'] = "Admin Group"
group['description'] = "Administration Group for Materials Commons"
group['id'] = 'admin'
group['owner'] = '[email protected]'
group['users'] = []
group['birthtime'] = r.now()
group['mtime'] = r.now()
r.table('usergroups').insert(group).run(conn)
admin_group = r.table('usergroups').get('admin')\
.run(conn, time_format='raw')
return admin_group
def add_user(user, group, conn):
for u in group['users']:
if u == user:
return
group['users'].append(user)
r.table('usergroups').get('admin').update(group).run(conn)
if __name__ == "__main__":
parser = OptionParser()
parser.add_option("-P", "--port", type="int", dest="port",
help="rethinkdb port")
parser.add_option("-u", "--user", type="string", dest="user",
help="user to add to admin group")
(options, args) = parser.parse_args()
if options.port is None:
print "You must specify the rethinkdb port"
sys.exit(1)
if options.user is None:
print "You must specify a user to add"
sys.exit(1)
conn = r.connect('localhost', options.port, db='materialscommons')
admin_group = r.table('usergroups').get('admin')\
.run(conn, time_format='raw')
if admin_group is None:
admin_group = create_group(conn)
add_user(options.user, admin_group, conn)
| mit | Python |
|
a1c4eb2183e3d3920e992b0753392d987b518bcf | add unit-test for tablegenerator.util.split_string_at_suffix | ultimate-pa/benchexec,martin-neuhaeusser/benchexec,sosy-lab/benchexec,sosy-lab/benchexec,dbeyer/benchexec,martin-neuhaeusser/benchexec,ultimate-pa/benchexec,sosy-lab/benchexec,ultimate-pa/benchexec,martin-neuhaeusser/benchexec,dbeyer/benchexec,martin-neuhaeusser/benchexec,IljaZakharov/benchexec,sosy-lab/benchexec,sosy-lab/benchexec,IljaZakharov/benchexec,sosy-lab/benchexec,ultimate-pa/benchexec,ultimate-pa/benchexec,dbeyer/benchexec,ultimate-pa/benchexec,IljaZakharov/benchexec,IljaZakharov/benchexec,dbeyer/benchexec | benchexec/tablegenerator/test_util.py | benchexec/tablegenerator/test_util.py | # BenchExec is a framework for reliable benchmarking.
# This file is part of BenchExec.
#
# Copyright (C) 2007-2016 Dirk Beyer
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# prepare for Python 3
from __future__ import absolute_import, division, print_function, unicode_literals
import sys
import unittest
sys.dont_write_bytecode = True # prevent creation of .pyc files
from benchexec.tablegenerator import util
class TestUnit(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.longMessage = True
cls.maxDiff = None
def assertEqualNumberAndUnit(self, value, number, unit):
self.assertEqual(util.split_number_and_unit(value), (number, unit))
self.assertEqual(util.split_string_at_suffix(value, False), (number, unit))
def assertEqualTextAndNumber(self, value, text, number):
self.assertEqual(util.split_string_at_suffix(value, True), (text, number))
def test_split_number_and_unit(self):
self.assertEqualNumberAndUnit("", "", "")
self.assertEqualNumberAndUnit("1", "1", "")
self.assertEqualNumberAndUnit("1s", "1", "s")
self.assertEqualNumberAndUnit("111s", "111", "s")
self.assertEqualNumberAndUnit("s1", "s1", "")
self.assertEqualNumberAndUnit("s111", "s111", "")
self.assertEqualNumberAndUnit("-1s", "-1", "s")
self.assertEqualNumberAndUnit("1abc", "1", "abc")
self.assertEqualNumberAndUnit("abc", "", "abc")
self.assertEqualNumberAndUnit("abc1abc", "abc1", "abc")
self.assertEqualNumberAndUnit("abc1abc1abc", "abc1abc1", "abc")
def test_split_string_at_suffix(self):
self.assertEqualTextAndNumber("", "", "")
self.assertEqualTextAndNumber("1", "", "1")
self.assertEqualTextAndNumber("1s", "1s", "")
self.assertEqualTextAndNumber("111s", "111s", "")
self.assertEqualTextAndNumber("s1", "s", "1")
self.assertEqualTextAndNumber("s111", "s", "111")
self.assertEqualTextAndNumber("-1s", "-1s", "")
self.assertEqualTextAndNumber("abc1", "abc", "1")
self.assertEqualTextAndNumber("abc", "abc", "")
self.assertEqualTextAndNumber("abc1abc", "abc1abc", "")
self.assertEqualTextAndNumber("abc1abc1", "abc1abc", "1")
| apache-2.0 | Python |
|
8d32947304d72a13ed8e27d41d35028a904072e9 | Add libpq package | trigger-happy/conan-packages | libpq/conanfile.py | libpq/conanfile.py | from conans import ConanFile, AutoToolsBuildEnvironment, tools
import os
class LibpqConn(ConanFile):
name = "libpq"
version = "9.6.3"
license = "PostgreSQL license https://www.postgresql.org/about/licence/"
url = "https://github.com/trigger-happy/conan-packages"
description = "C library for interfacing with postgresql"
settings = "os", "compiler", "build_type", "arch"
options = {"shared": [True, False]}
default_options = "shared=False"
generators = "cmake"
def source(self):
pkgLink = 'https://ftp.postgresql.org/pub/source/v{pkgver}/postgresql-{pkgver}.tar.bz2'.format(pkgver=self.version)
self.run("curl -JOL " + pkgLink)
self.run("tar xf postgresql-{pkgver}.tar.bz2".format(pkgver=self.version))
self.run("mkdir deploy")
def build(self):
env_build = AutoToolsBuildEnvironment(self)
install_prefix=os.getcwd()
with tools.chdir("postgresql-{pkgver}".format(pkgver=self.version)):
with tools.environment_append(env_build.vars):
self.run("./configure --with-openssl --without-readline --prefix={0}".format(install_prefix))
with tools.chdir("src/interfaces/libpq"):
self.run("make install")
def package(self):
with tools.chdir("deploy"):
self.copy("lib/*", dst="lib", keep_path=False)
self.copy("include/*", dst=".", keep_path=True)
def package_info(self):
self.cpp_info.libs = ["pq"]
| mit | Python |
|
e59c03f0bad78c9cb1db86f2fb0ac29009c8474e | add rll | mengzhuo/my-leetcode-solution | reverse-linked-list.py | reverse-linked-list.py | # https://leetcode.com/problems/reverse-linked-list/
# Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
# @param {ListNode} head
# @return {ListNode}
def reverseList(self, head):
last, current = None, head
while current:
next = current.next
current.next = last
last = current
current = next
return last
| mit | Python |
|
0c17398f68597eae175ad6a37945cf37e95e1809 | Reset invalid default quotas for CloudServiceProjectLink [WAL-814] | opennode/nodeconductor,opennode/nodeconductor,opennode/nodeconductor | nodeconductor/structure/migrations/0050_reset_cloud_spl_quota_limits.py | nodeconductor/structure/migrations/0050_reset_cloud_spl_quota_limits.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib.contenttypes import models as ct_models
from django.db import migrations, models
from nodeconductor.quotas.models import Quota
from nodeconductor.structure.models import CloudServiceProjectLink
def reset_cloud_spl_quota_limits(apps, schema_editor):
old_limits = {
'vcpu': 100,
'ram': 256000,
'storage': 5120000,
}
for model in CloudServiceProjectLink.get_all_models():
content_type = ct_models.ContentType.objects.get_for_model(model)
for quota, limit in old_limits.items():
Quota.objects.filter(content_type=content_type, name=quota, limit=limit).update(limit=-1)
class Migration(migrations.Migration):
dependencies = [
('structure', '0049_extend_abbreviation'),
]
operations = [
migrations.RunPython(reset_cloud_spl_quota_limits),
]
| mit | Python |
|
63ae0b619ea50b1e234abc139becaeb84c703302 | add player class | Mellcap/MellPlayer | MellPlayer/player.py | MellPlayer/player.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Netease Music Player
Created on 2017-02-20
@author: Mellcap
'''
class Player(object):
def __init__(self):
pass
def start(self):
pass
def pause(self):
pass
def start_or_pause(self):
pass
def switch_song(self, action='next'):
'''
action: next/prev
'''
pass
def switch_playlist(self, action='next'):
'''
action: next/prev
'''
pass
| mit | Python |
|
602db58ff01ef7ea2718d713a5b2026377023b8d | Create context_processors.py | 20tab/twentytab_project,20tab/twentytab_project,20tab/twentytab_project | commons/context_processors.py | commons/context_processors.py | from os import environ
from {{ project_name }} import __version__
import uuid
def metainfo(request):
metainfo = {
'uuid': unicode(uuid.uuid4()),
'version': __version__,
'static_version': "?v={}".format(uuid),
'branch': environ['BRANCH']
}
return metainfo
| mit | Python |
|
4152b6a10610aa364e901f062a8611b94f65b3de | Create e.py | xsthunder/a,xsthunder/acm,xsthunder/a,xsthunder/acm,xsthunder/acm,xsthunder/a,xsthunder/a,xsthunder/acm,xsthunder/a | at/abc126/e.py | at/abc126/e.py | # 并查集
read = input
n, m = map(int, read().split())
f = [-1 for i in range(n + 1)] # 1 ~ n
def find(x):
if f[x]<0:
return x
else :
f[x] = find(f[x])
return f[x]
for i in range(m):
x,y,z = map(int, read().split())
if abs(x) < abs(y): #合并到x上，保证x是大集合
x,y = y,x
fx = find(x)
fy = find(y)
if fx == fy:continue # 已经在一个集合，不操作
f[fx] = f[fx] - 1
f[fy] = fx
# print(x,y,fx,fy,f)
ans = 0
for i in range(1, n+1): # 1~n
if f[i] < 0:
ans += 1
print(ans)
| mit | Python |
|
2057ebd9bae44b232b133ca0c0f76e11d4ca3b5f | Add missing file | sassoftware/conary,sassoftware/conary,sassoftware/conary,sassoftware/conary,sassoftware/conary | conary/server/wsgi_adapter.py | conary/server/wsgi_adapter.py | #
# Copyright (c) rPath, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
import webob
import sys
def modpython_to_webob(mpreq, handler):
# This could be written as a mod_python -> WSGI gateway, but this is much
# more compact.
from mod_python import apache
mpreq.add_common_vars()
environ = dict(mpreq.subprocess_env.items())
environ['wsgi.version'] = (1, 0)
if environ.get('HTTPS', '').lower() == 'on':
environ['wsgi.url_scheme'] = 'https'
else:
environ['wsgi.url_scheme'] = 'http'
environ['wsgi.input'] = mpreq
environ['wsgi.errors'] = sys.stderr
environ['wsgi.multithread'] = False
environ['wsgi.multiprocess'] = True
environ['wsgi.run_once'] = False
request = webob.Request(environ)
response = handler(request)
mpreq.status = response.status_int
for key, value in response.headerlist:
if key.lower() == 'content-length':
mpreq.set_content_length(int(value))
elif key.lower() == 'content-type':
mpreq.content_type = value
else:
mpreq.headers_out.add(key, value)
for chunk in response.app_iter:
mpreq.write(chunk)
return apache.OK
| apache-2.0 | Python |
|
38cec6e7806e55d957e9810d1bb861054ae4842b | add useful methods | marianosimone/interviewed,marianosimone/interviewed | useful_methods.py | useful_methods.py | # encoding utf-8
def bisect_right(data, target, lo, hi):
"""
Given a sorted array, returns the insertion position of target
If the value is already present, the insertion post is to the right of all of them
>>> bisect_right([1,1,2,3,4,5], 1, 0, 6)
2
>>> bisect_right([1,1,2,3,4,5], 0, 0, 6)
0
>>> bisect_right([1,1,2,3,4,5], 6, 0, 6)
6
"""
while lo < hi:
mid = (lo+hi)/2
if data[mid] > target:
hi = mid
else:
lo = mid+1
return lo
def bisect_left(data, target, lo, hi):
"""
Given a sorted array, returns the insertion position of target
If the value is already present, the insertion post is to the left of all of them
>>> bisect_left([1,1,2,3,4,5], 1, 0, 6)
0
>>> bisect_left([1,1,2,3,4,5], 6, 0, 6)
6
>>> bisect_left([1,1,2,3,4,5], 0, 0, 6)
0
"""
while lo < hi:
mid = (lo+hi)/2
if data[mid] < target:
lo = mid+1
else:
hi = mid
return lo
def permutations_generator(head, tail=[]):
"""
>>> [p for p in permutations_generator([1, 2, 3])]
[[1, 2, 3], [1, 3, 2], [2, 1, 3], [2, 3, 1], [3, 1, 2], [3, 2, 1]]
"""
if not head:
yield tail
else:
for i in xrange(len(head)):
for p in permutations_generator(head[:i] + head[i+1:], tail+[head[i]]):
yield p
def permutations(data):
"""
>>> [p for p in permutations([1, 2, 3])]
[[3, 2, 1], [2, 3, 1], [3, 1, 2], [1, 3, 2], [2, 1, 3], [1, 2, 3]]
"""
stack = [(data, [])]
rv = []
while stack:
head, tail = stack.pop()
if not head:
rv.append(tail)
else:
for i in xrange(len(head)-1, -1, -1):
stack.append((head[:i] + head[i+1:], [head[i]]+tail))
return rv
class BinaryIndexedTree:
def __init__(self, length):
self._data = [0 for i in xrange(length+1)]
def value(self, pos):
rv = self._data[pos]
if (pos > 0):
z = pos - (pos & -pos)
pos -= 1
while (pos != z):
rv -= self._data[pos]
pos -= (pos & -pos)
return rv
def add(self, pos, count):
while pos <= len(self._data):
self._data[pos] += count
pos += (pos & -pos)
def accum(self, pos):
rv = 0
while (pos > 0):
rv += self._data[pos]
pos -= (pos & -pos)
return rv
def powerset(s):
"""Computes all of the sublists of s"""
rv = [[]]
for num in s:
rv += [x+[num] for x in rv]
return rv
def lis(arr):
"""
Return the Longest Increasing Subsequence of arr, in O(N^2)
>>> lis([2, 1, 3, 4, -5, 3, 2, 4, 5])
[-5, 2, 4, 5]
"""
elements = [(0, 1)]
global_max = (0, 1)
for i in xrange(1, len(arr)):
max_before = (i, 1)
for j in xrange(i-1, -1, -1):
if arr[i] > arr[j] and elements[j][1]+1 > max_before[1]:
max_before = (j, elements[j][1]+1)
elements.append(max_before)
if max_before[1] > global_max[1]:
global_max = (i, max_before[1])
last = len(arr)
current = global_max
sequence = []
while last != current[0]:
last = current[0]
sequence.append(arr[current[0]])
current = elements[current[0]]
return sequence[::-1]
| unlicense | Python |
|
aef33a2c8f34d164bba18741a3cf6e5b71a60a99 | Add stub file for extract_csv.py | illumenati/duwamish-sensor,tipsqueal/duwamish-sensor | extract_csv.py | extract_csv.py | def extract_csv(filename):
# TODO: connect to sqlite database and extract a csv of the rows.
pass
if __name__ == '__main__':
extract_csv('data.csv') | mit | Python |
|
f99eb9a2397f571f045f6a5f663a42878e94b3ea | Create Euler_003.py | kingmak/Project_Euler_Solutions | Euler_003.py | Euler_003.py | #
x, num = 2, 600851475143
while num != x:
if num % x == 0: num = num / x; x = 2
else: x += 1
print x
| unlicense | Python |
|
411ef30db7431e9df1af02cd68a6ae0b9d874af0 | add a first draft for the test of canal metrics | rfdougherty/dipy,samuelstjean/dipy,sinkpoint/dipy,beni55/dipy,mdesco/dipy,jyeatman/dipy,matthieudumont/dipy,Messaoud-Boudjada/dipy,nilgoyyou/dipy,JohnGriffiths/dipy,JohnGriffiths/dipy,beni55/dipy,villalonreina/dipy,demianw/dipy,samuelstjean/dipy,jyeatman/dipy,sinkpoint/dipy,oesteban/dipy,oesteban/dipy,FrancoisRheaultUS/dipy,StongeEtienne/dipy,rfdougherty/dipy,villalonreina/dipy,mdesco/dipy,matthieudumont/dipy,FrancoisRheaultUS/dipy,samuelstjean/dipy,Messaoud-Boudjada/dipy,StongeEtienne/dipy,demianw/dipy,nilgoyyou/dipy | dipy/reconst/tests/test_canal_metrics.py | dipy/reconst/tests/test_canal_metrics.py | import numpy as np
from dipy.reconst.dsi import DiffusionSpectrumModel
from dipy.data import get_data
from dipy.core.gradients import gradient_table
from numpy.testing import (assert_almost_equal,
run_module_suite)
from dipy.reconst.canal import ShoreModel, SHOREmatrix
from dipy.sims.voxel import MultiTensor, all_tensor_evecs, multi_tensor_odf, single_tensor_odf, multi_tensor_rtop, multi_tensor_msd, multi_tensor_pdf
from dipy.data import fetch_isbi2013_2shell, read_isbi2013_2shell
from dipy.data import fetch_taiwan_ntu_dsi, read_taiwan_ntu_dsi
from dipy.data import get_sphere
def test_canal_metrics():
fetch_taiwan_ntu_dsi()
img, gtab = read_taiwan_ntu_dsi()
# fetch_isbi2013_2shell()
# img, gtab = read_isbi2013_2shell()
mevals = np.array(([0.0015, 0.0003, 0.0003],
[0.0015, 0.0003, 0.0003]))
angl = [(0, 0), (60, 0)]
S, sticks = MultiTensor(gtab, mevals, S0=100, angles=angl,
fractions=[50, 50], snr=None)
S = S / S[0, None].astype(np.float)
asm = ShoreModel(gtab)
asmfit = asm.fit(S)
radialOrder = 8
zeta = 800
lambdaN = 1e-12
lambdaL = 1e-12
Cshore = asmfit.l2estimation(radialOrder=radialOrder, zeta=zeta,
lambdaN=lambdaN, lambdaL=lambdaL)
Cmat = SHOREmatrix(radialOrder, zeta, gtab)
S_reconst = np.dot(Cmat, Cshore)
nmse_signal = np.sqrt(np.sum((S - S_reconst) ** 2)) / (S.sum())
assert_almost_equal(nmse_signal, 0.0, 4)
mevecs2 = np.zeros((2, 3, 3))
angl = np.array(angl)
for i in range(2):
mevecs2[i] = all_tensor_evecs(sticks[i]).T
sphere = get_sphere('symmetric724')
v = sphere.vertices
radius = 10e-3
pdf_shore = asmfit.pdf_iso(v * radius)
pdf_mt = multi_tensor_pdf(
v * radius, [.5, .5], mevals=mevals, mevecs=mevecs2)
nmse_pdf = np.sqrt(np.sum((pdf_mt - pdf_shore) ** 2)) / (pdf_mt.sum())
assert_almost_equal(nmse_pdf, 0.0, 2)
rtop_shore_signal = asmfit.rtop_signal()
rtop_shore_pdf = asmfit.rtop_pdf()
assert_almost_equal(rtop_shore_signal, rtop_shore_pdf, 9)
#rtop_mt = multi_tensor_rtop([.5, .5], mevals=mevals)
#err_rtop = np.abs(rtop_mt - rtop_shore_pdf) / rtop_mt
#assert_almost_equal(err_rtop, 0.0, 1)
msd_mt = multi_tensor_msd([.5, .5], mevals=mevals)
msd_shore = asmfit.msd()
err_msd = np.abs(msd_mt - msd_shore) / msd_mt
assert_almost_equal(err_msd, 0, 1)
if __name__ == '__main__':
run_module_suite()
| bsd-3-clause | Python |
|
1072b8e28e75cf41a35302c9febd1ec22473e966 | Add code/analyse_chain_growth.py | pdebuyl/cg_md_polymerization,pdebuyl/cg_md_polymerization | code/analyse_chain_growth.py | code/analyse_chain_growth.py | #!/usr/bin/env python
import sys
import os
import os.path
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('dirs', type=str, nargs='+',
help='directories containing simulation files')
parser.add_argument('--rate', type=float, default=0.1)
parser.add_argument('--sites', type=int, default=1)
parser.add_argument('-N', type=int, default=10000)
args = parser.parse_args()
import numpy as np
from scipy.optimize import leastsq
from io import StringIO
import matplotlib.pyplot as plt
NNEIGH=3.5
# Open lammps log file to extract thermodynamic observables
def from_log(logfile,i0,i1):
return np.loadtxt(StringIO(u''.join(logfile[i0+1:i1])), unpack=True)
fitfunc = lambda p, t: 1*(1.-np.exp(-t*p[0]-p[1]))
errfunc = lambda p, t, y: fitfunc(p, t) - y
p_data = []
for d in args.dirs:
logfile = open(os.path.join(os.getcwd(), d, 'log.lammps')).readlines()
start_indices = [(i,l) for (i,l) in enumerate(logfile) if l.startswith('Time ')]
stop_indices = [(i,l) for (i,l) in enumerate(logfile) if l.startswith('Loop time')]
time, e_tot, temp, e_kin, e_vdw, e_bond, e_pot, press, rho, n_bonds, n_bonds_max, bonds = from_log(logfile, start_indices[-1][0], stop_indices[-1][0])
time -= time[0]
plt.plot(time, n_bonds)
nmax = min(int(1./(args.rate*args.fraction)), len(time))
nmax = len(time)
p, success = leastsq(errfunc, [args.rate*NNEIGH*args.fraction, 0./args.rate], args=(time[:nmax], n_bonds[:nmax]))
p_data.append(p)
print p
plt.plot(time, 1*(1.-np.exp(-time*args.rate*NNEIGH*args.fraction)))
p_data = np.array(p_data)
print p_data.mean(axis=0)
plt.plot(time, fitfunc(p_data.mean(axis=0), time), 'k--')
plt.show()
| bsd-3-clause | Python |
|
bd15388aa877f32ebc613511ad909b311ed3bcf0 | Add tests | ChristinaZografou/sympy,AunShiLord/sympy,Mitchkoens/sympy,saurabhjn76/sympy,VaibhavAgarwalVA/sympy,jbbskinny/sympy,shipci/sympy,Curious72/sympy,abloomston/sympy,meghana1995/sympy,jaimahajan1997/sympy,VaibhavAgarwalVA/sympy,Davidjohnwilson/sympy,mcdaniel67/sympy,beni55/sympy,MechCoder/sympy,shikil/sympy,saurabhjn76/sympy,madan96/sympy,kumarkrishna/sympy,lindsayad/sympy,Vishluck/sympy,sahmed95/sympy,farhaanbukhsh/sympy,hargup/sympy,asm666/sympy,sahilshekhawat/sympy,ga7g08/sympy,vipulroxx/sympy,Designist/sympy,meghana1995/sympy,yukoba/sympy,MechCoder/sympy,hargup/sympy,cccfran/sympy,sunny94/temp,postvakje/sympy,cswiercz/sympy,drufat/sympy,bukzor/sympy,cccfran/sympy,wyom/sympy,Designist/sympy,shikil/sympy,sahmed95/sympy,vipulroxx/sympy,Titan-C/sympy,sahilshekhawat/sympy,maniteja123/sympy,hargup/sympy,Gadal/sympy,sampadsaha5/sympy,chaffra/sympy,postvakje/sympy,kaushik94/sympy,rahuldan/sympy,emon10005/sympy,maniteja123/sympy,Arafatk/sympy,pandeyadarsh/sympy,ChristinaZografou/sympy,kumarkrishna/sympy,atsao72/sympy,debugger22/sympy,drufat/sympy,wyom/sympy,Shaswat27/sympy,garvitr/sympy,grevutiu-gabriel/sympy,asm666/sympy,beni55/sympy,souravsingh/sympy,kaichogami/sympy,garvitr/sympy,abhiii5459/sympy,lindsayad/sympy,Vishluck/sympy,jaimahajan1997/sympy,rahuldan/sympy,oliverlee/sympy,Davidjohnwilson/sympy,skidzo/sympy,Gadal/sympy,Shaswat27/sympy,MechCoder/sympy,jamesblunt/sympy,pbrady/sympy,kevalds51/sympy,oliverlee/sympy,mafiya69/sympy,liangjiaxing/sympy,diofant/diofant,mafiya69/sympy,yukoba/sympy,maniteja123/sympy,Shaswat27/sympy,abloomston/sympy,pandeyadarsh/sympy,skirpichev/omg,moble/sympy,saurabhjn76/sympy,Sumith1896/sympy,pandeyadarsh/sympy,asm666/sympy,atsao72/sympy,drufat/sympy,toolforger/sympy,mcdaniel67/sympy,sahmed95/sympy,MridulS/sympy,Curious72/sympy,atreyv/sympy,cswiercz/sympy,wanglongqi/sympy,chaffra/sympy,Mitchkoens/sympy,farhaanbukhsh/sympy,Titan-C/sympy,moble/sympy,shipci/sympy,ChristinaZografou/sympy,souravsingh/sympy,chaffra/sympy,Arafatk/sympy,jerli/sympy,grevutiu-gabriel/sympy,Sumith1896/sympy,ga7g08/sympy,sunny94/temp,meghana1995/sympy,yukoba/sympy,cswiercz/sympy,liangjiaxing/sympy,oliverlee/sympy,kevalds51/sympy,liangjiaxing/sympy,yashsharan/sympy,jamesblunt/sympy,kevalds51/sympy,iamutkarshtiwari/sympy,yashsharan/sympy,jerli/sympy,AkademieOlympia/sympy,mafiya69/sympy,VaibhavAgarwalVA/sympy,shipci/sympy,skidzo/sympy,Mitchkoens/sympy,kaushik94/sympy,Vishluck/sympy,debugger22/sympy,AkademieOlympia/sympy,atreyv/sympy,jamesblunt/sympy,postvakje/sympy,MridulS/sympy,kaichogami/sympy,emon10005/sympy,atreyv/sympy,AunShiLord/sympy,madan96/sympy,kaushik94/sympy,dqnykamp/sympy,farhaanbukhsh/sympy,aktech/sympy,sampadsaha5/sympy,grevutiu-gabriel/sympy,atsao72/sympy,Titan-C/sympy,emon10005/sympy,lindsayad/sympy,beni55/sympy,moble/sympy,Curious72/sympy,abhiii5459/sympy,souravsingh/sympy,Gadal/sympy,ahhda/sympy,jbbskinny/sympy,Designist/sympy,iamutkarshtiwari/sympy,debugger22/sympy,wyom/sympy,aktech/sympy,pbrady/sympy,dqnykamp/sympy,ahhda/sympy,Davidjohnwilson/sympy,wanglongqi/sympy,garvitr/sympy,jaimahajan1997/sympy,jerli/sympy,madan96/sympy,jbbskinny/sympy,bukzor/sympy,toolforger/sympy,abhiii5459/sympy,abloomston/sympy,vipulroxx/sympy,pbrady/sympy,yashsharan/sympy,kumarkrishna/sympy,sahilshekhawat/sympy,AkademieOlympia/sympy,iamutkarshtiwari/sympy,cccfran/sympy,AunShiLord/sympy,toolforger/sympy,skidzo/sympy,Arafatk/sympy,aktech/sympy,kaichogami/sympy,rahuldan/sympy,sunny94/temp,sampadsaha5/sympy,Sumith1896/sympy,bukzor/sympy,MridulS/sympy,dqnykamp/sympy,mcdaniel67/sympy,wanglongqi/sympy,shikil/sympy,ga7g08/sympy,ahhda/sympy | sympy/concrete/tests/test_dispersion.py | sympy/concrete/tests/test_dispersion.py | from sympy.core import Symbol, S, oo
from sympy.concrete.dispersion import *
def test_dispersion():
x = Symbol("x")
fp = S(0).as_poly(x)
assert sorted(dispersionset(fp)) == [0]
fp = S(2).as_poly(x)
assert sorted(dispersionset(fp)) == [0]
fp = (x + 1).as_poly(x)
assert sorted(dispersionset(fp)) == [0]
assert dispersion(fp) == 0
fp = (x*(x + 3)).as_poly(x)
assert sorted(dispersionset(fp)) == [0, 3]
assert dispersion(fp) == 3
fp = ((x - 3)*(x + 3)).as_poly(x)
assert sorted(dispersionset(fp)) == [0, 6]
assert dispersion(fp) == 6
fp = ((x + 1)*(x + 2)).as_poly(x)
assert sorted(dispersionset(fp)) == [0, 1]
assert dispersion(fp) == 1
fp = (x**4 - 3*x**2 + 1).as_poly(x)
gp = fp.shift(-3)
assert sorted(dispersionset(fp, gp)) == [2, 3, 4]
assert dispersion(fp, gp) == 4
assert sorted(dispersionset(gp, fp)) == []
assert dispersion(gp, fp) == -oo
a = Symbol("a")
fp = (x*(3*x**2+a)*(x-2536)*(x**3+a)).as_poly(x)
gp = fp.as_expr().subs(x, x-345).as_poly(x)
assert sorted(dispersionset(fp, gp)) == [345, 2881]
| bsd-3-clause | Python |
|
6ed3b62efe24aa8aeaedd314bb4e472628713bac | Create deft_opportunist.py | GrognardsFromHell/TemplePlus,GrognardsFromHell/TemplePlus,GrognardsFromHell/TemplePlus,GrognardsFromHell/TemplePlus,GrognardsFromHell/TemplePlus | tpdatasrc/tpgamefiles/scr/tpModifiers/deft_opportunist.py | tpdatasrc/tpgamefiles/scr/tpModifiers/deft_opportunist.py | #Deft Opportunist: Complete Adventurer, p. 106
from templeplus.pymod import PythonModifier
from toee import *
import tpdp
print "Registering Deft Opportunist"
def DOAOO(attachee, args, evt_obj):
if attachee.has_feat("Deft Opportunist") != 0:
#Check if it's an AOO, if so add 4 to the Attack Roll
if evt_obj.attack_packet.get_flags() & D20CAF_ATTACK_OF_OPPORTUNITY:
evt_obj.bonus_list.add(4, 0, "Target Deft Opportunist bonus")
return 0
eDO = PythonModifier("Deft Opportunist Feat", 2)
eDO.MapToFeat("Deft Opportunist")
eDO.AddHook(ET_OnToHitBonus2, EK_NONE, DOAOO, ())
| mit | Python |
|
52f8daf63644fde1efd1c132d6b02ac6670ef0a4 | Add migrations merge | pulilab/rapidpro,tsotetsi/textily-web,tsotetsi/textily-web,pulilab/rapidpro,tsotetsi/textily-web,pulilab/rapidpro,pulilab/rapidpro,tsotetsi/textily-web,pulilab/rapidpro,tsotetsi/textily-web | temba/channels/migrations/0038_merge.py | temba/channels/migrations/0038_merge.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('channels', '0037_auto_20160905_1537'),
('channels', '0033_auto_20160623_1438'),
]
operations = [
]
| agpl-3.0 | Python |
|
1b538aba890c8a81fc7bf66f2c35519608fbd6be | Create drivers.py | ariegg/webiopi-drivers,ariegg/webiopi-drivers | chips/analog/mock/drivers.py | chips/analog/mock/drivers.py | # This code has to be added to the corresponding __init__.py
DRIVERS["analogmock"] = ["ANALOG", "PUUM"]
| apache-2.0 | Python |
|
528de5a29d7beb743e5e80775a349f931e71262f | add test that triggers previous error | oesteban/preprocessing-workflow,poldracklab/fmriprep,poldracklab/fmriprep,oesteban/fmriprep,shoshber/fmriprep,oesteban/preprocessing-workflow,poldracklab/preprocessing-workflow,shoshber/fmriprep,oesteban/fmriprep,poldracklab/fmriprep,chrisfilo/fmriprep,poldracklab/preprocessing-workflow,oesteban/fmriprep | test/workflows/test_base.py | test/workflows/test_base.py | import json
import fmriprep.workflows.base as base
import re
import unittest
import mock
class TestBase(unittest.TestCase):
def test_fmri_preprocess_single(self):
''' Tests that it runs without errors '''
# NOT a test for correctness
# SET UP INPUTS
test_settings = {
'output_dir': '.',
'work_dir': '.'
}
# SET UP EXPECTATIONS
# RUN
base.fmri_preprocess_single(settings=test_settings)
# ASSERT
| bsd-3-clause | Python |
|
0e02a9de3599e726b5a4dffd17f92a0cd0d2aaee | add import script for Wyre | chris48s/UK-Polling-Stations,DemocracyClub/UK-Polling-Stations,DemocracyClub/UK-Polling-Stations,chris48s/UK-Polling-Stations,DemocracyClub/UK-Polling-Stations,chris48s/UK-Polling-Stations | polling_stations/apps/data_collection/management/commands/import_wyre.py | polling_stations/apps/data_collection/management/commands/import_wyre.py | from data_collection.management.commands import BaseXpressWebLookupCsvImporter
class Command(BaseXpressWebLookupCsvImporter):
council_id = 'E07000128'
addresses_name = 'WyrePropertyPostCodePollingStationWebLookup-2017-03-08 2.CSV'
stations_name = 'WyrePropertyPostCodePollingStationWebLookup-2017-03-08 2.CSV'
elections = ['local.lancashire.2017-05-04']
| bsd-3-clause | Python |
|
b14fb988321076f4cf17cebec7635fd209e08465 | Create video.py | sonus89/FIPER,sonus89/FIPER,sonus89/FIPER | client/video.py | client/video.py | # Capture video with OpenCV
import numpy as np
import cv2
import time
cap = cv2.VideoCapture('serenity.mp4')
while(cap.isOpened()):
ret, frame = cap.read()
# time.sleep(.25)
cv2.rectangle(frame,(384,0),(510,128),(0,255,0),3)
cv2.imshow('frame',frame)
if cv2.waitKey(5) & 0xFF == ord('q'):
break
cap.release()
| mit | Python |
|
18a356c9fa49f32627481f312b03aa34ff711456 | Revert "Define the tests as grpc_cc_test to automatically test against all po…" | Vizerai/grpc,muxi/grpc,pszemus/grpc,nicolasnoble/grpc,kpayson64/grpc,murgatroid99/grpc,carl-mastrangelo/grpc,carl-mastrangelo/grpc,stanley-cheung/grpc,pszemus/grpc,ctiller/grpc,kpayson64/grpc,jtattermusch/grpc,stanley-cheung/grpc,firebase/grpc,donnadionne/grpc,donnadionne/grpc,sreecha/grpc,ejona86/grpc,murgatroid99/grpc,chrisdunelm/grpc,stanley-cheung/grpc,muxi/grpc,sreecha/grpc,muxi/grpc,muxi/grpc,sreecha/grpc,jboeuf/grpc,thinkerou/grpc,kpayson64/grpc,Vizerai/grpc,kpayson64/grpc,muxi/grpc,chrisdunelm/grpc,vjpai/grpc,jboeuf/grpc,mehrdada/grpc,muxi/grpc,firebase/grpc,chrisdunelm/grpc,vjpai/grpc,jboeuf/grpc,chrisdunelm/grpc,jtattermusch/grpc,firebase/grpc,murgatroid99/grpc,kpayson64/grpc,ejona86/grpc,grpc/grpc,dgquintas/grpc,ejona86/grpc,ncteisen/grpc,sreecha/grpc,kpayson64/grpc,nicolasnoble/grpc,pszemus/grpc,vjpai/grpc,ctiller/grpc,ctiller/grpc,ncteisen/grpc,jboeuf/grpc,ejona86/grpc,grpc/grpc,stanley-cheung/grpc,ctiller/grpc,vjpai/grpc,simonkuang/grpc,chrisdunelm/grpc,thinkerou/grpc,firebase/grpc,sreecha/grpc,carl-mastrangelo/grpc,ejona86/grpc,ejona86/grpc,thinkerou/grpc,mehrdada/grpc,sreecha/grpc,ncteisen/grpc,carl-mastrangelo/grpc,simonkuang/grpc,ctiller/grpc,murgatroid99/grpc,jtattermusch/grpc,ncteisen/grpc,jboeuf/grpc,vjpai/grpc,simonkuang/grpc,firebase/grpc,firebase/grpc,chrisdunelm/grpc,nicolasnoble/grpc,donnadionne/grpc,donnadionne/grpc,thinkerou/grpc,chrisdunelm/grpc,thinkerou/grpc,firebase/grpc,carl-mastrangelo/grpc,jtattermusch/grpc,simonkuang/grpc,Vizerai/grpc,grpc/grpc,nicolasnoble/grpc,Vizerai/grpc,thinkerou/grpc,kpayson64/grpc,dgquintas/grpc,kpayson64/grpc,ctiller/grpc,carl-mastrangelo/grpc,jboeuf/grpc,donnadionne/grpc,Vizerai/grpc,mehrdada/grpc,kpayson64/grpc,murgatroid99/grpc,donnadionne/grpc,nicolasnoble/grpc,sreecha/grpc,jboeuf/grpc,muxi/grpc,nicolasnoble/grpc,stanley-cheung/grpc,dgquintas/grpc,ejona86/grpc,muxi/grpc,pszemus/grpc,grpc/grpc,jtattermusch/grpc,thinkerou/grpc,nicolasnoble/grpc,Vizerai/grpc,chrisdunelm/grpc,muxi/grpc,stanley-cheung/grpc,firebase/grpc,jboeuf/grpc,firebase/grpc,murgatroid99/grpc,murgatroid99/grpc,dgquintas/grpc,dgquintas/grpc,carl-mastrangelo/grpc,carl-mastrangelo/grpc,kpayson64/grpc,dgquintas/grpc,simonkuang/grpc,murgatroid99/grpc,Vizerai/grpc,stanley-cheung/grpc,nicolasnoble/grpc,mehrdada/grpc,firebase/grpc,kpayson64/grpc,carl-mastrangelo/grpc,grpc/grpc,dgquintas/grpc,dgquintas/grpc,donnadionne/grpc,mehrdada/grpc,pszemus/grpc,Vizerai/grpc,pszemus/grpc,dgquintas/grpc,ncteisen/grpc,vjpai/grpc,grpc/grpc,vjpai/grpc,mehrdada/grpc,sreecha/grpc,sreecha/grpc,ncteisen/grpc,muxi/grpc,jtattermusch/grpc,ctiller/grpc,sreecha/grpc,vjpai/grpc,jtattermusch/grpc,ncteisen/grpc,ctiller/grpc,ejona86/grpc,ejona86/grpc,nicolasnoble/grpc,mehrdada/grpc,ejona86/grpc,dgquintas/grpc,jtattermusch/grpc,jboeuf/grpc,nicolasnoble/grpc,ejona86/grpc,firebase/grpc,carl-mastrangelo/grpc,chrisdunelm/grpc,ctiller/grpc,firebase/grpc,stanley-cheung/grpc,grpc/grpc,thinkerou/grpc,thinkerou/grpc,grpc/grpc,ncteisen/grpc,dgquintas/grpc,simonkuang/grpc,pszemus/grpc,mehrdada/grpc,ctiller/grpc,chrisdunelm/grpc,thinkerou/grpc,stanley-cheung/grpc,murgatroid99/grpc,nicolasnoble/grpc,simonkuang/grpc,simonkuang/grpc,stanley-cheung/grpc,carl-mastrangelo/grpc,pszemus/grpc,Vizerai/grpc,donnadionne/grpc,pszemus/grpc,vjpai/grpc,sreecha/grpc,nicolasnoble/grpc,grpc/grpc,jtattermusch/grpc,jtattermusch/grpc,vjpai/grpc,pszemus/grpc,muxi/grpc,Vizerai/grpc,jtattermusch/grpc,donnadionne/grpc,grpc/grpc,pszemus/grpc,grpc/grpc,ncteisen/grpc,ncteisen/grpc,ctiller/grpc,donnadionne/grpc,thinkerou/grpc,grpc/grpc,pszemus/grpc,muxi/grpc,mehrdada/grpc,stanley-cheung/grpc,jtattermusch/grpc,vjpai/grpc,ctiller/grpc,thinkerou/grpc,stanley-cheung/grpc,donnadionne/grpc,Vizerai/grpc,chrisdunelm/grpc,mehrdada/grpc,sreecha/grpc,jboeuf/grpc,ncteisen/grpc,donnadionne/grpc,ejona86/grpc,ncteisen/grpc,murgatroid99/grpc,mehrdada/grpc,simonkuang/grpc,mehrdada/grpc,jboeuf/grpc,jboeuf/grpc,vjpai/grpc,carl-mastrangelo/grpc | test/core/bad_client/generate_tests.bzl | test/core/bad_client/generate_tests.bzl | #!/usr/bin/env python2.7
# Copyright 2015 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Generates the appropriate build.json data for all the bad_client tests."""
def test_options():
return struct()
# maps test names to options
BAD_CLIENT_TESTS = {
'badreq': test_options(),
'connection_prefix': test_options(),
'headers': test_options(),
'initial_settings_frame': test_options(),
'head_of_line_blocking': test_options(),
'large_metadata': test_options(),
'server_registered_method': test_options(),
'simple_request': test_options(),
'window_overflow': test_options(),
'unknown_frame': test_options(),
}
def grpc_bad_client_tests():
native.cc_library(
name = 'bad_client_test',
srcs = ['bad_client.cc'],
hdrs = ['bad_client.h'],
deps = ['//test/core/util:grpc_test_util', '//:grpc', '//:gpr', '//test/core/end2end:cq_verifier']
)
for t, topt in BAD_CLIENT_TESTS.items():
native.cc_test(
name = '%s_bad_client_test' % t,
srcs = ['tests/%s.cc' % t],
deps = [':bad_client_test'],
)
| #!/usr/bin/env python2.7
# Copyright 2015 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Generates the appropriate build.json data for all the bad_client tests."""
load("//bazel:grpc_build_system.bzl", "grpc_cc_test", "grpc_cc_library")
def test_options():
return struct()
# maps test names to options
BAD_CLIENT_TESTS = {
'badreq': test_options(),
'connection_prefix': test_options(),
'headers': test_options(),
'initial_settings_frame': test_options(),
'head_of_line_blocking': test_options(),
'large_metadata': test_options(),
'server_registered_method': test_options(),
'simple_request': test_options(),
'window_overflow': test_options(),
'unknown_frame': test_options(),
}
def grpc_bad_client_tests():
grpc_cc_library(
name = 'bad_client_test',
srcs = ['bad_client.cc'],
hdrs = ['bad_client.h'],
deps = ['//test/core/util:grpc_test_util', '//:grpc', '//:gpr', '//test/core/end2end:cq_verifier']
)
for t, topt in BAD_CLIENT_TESTS.items():
grpc_cc_test(
name = '%s_bad_client_test' % t,
srcs = ['tests/%s.cc' % t],
deps = [':bad_client_test'],
)
| apache-2.0 | Python |
59ac83e45116a97cfbdd7522f967337e73d51766 | add cargo deny test | firecracker-microvm/firecracker,firecracker-microvm/firecracker,firecracker-microvm/firecracker,firecracker-microvm/firecracker,firecracker-microvm/firecracker | tests/integration_tests/build/test_dependencies.py | tests/integration_tests/build/test_dependencies.py | # Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
"""Enforces controls over dependencies."""
import os
import framework.utils as utils
def test_licenses():
"""Ensure license compatibility for Firecracker.
For a list of currently allowed licenses checkout deny.toml in
the root directory.
@type: build
"""
toml_file = os.path.normpath(
os.path.join(
os.path.dirname(os.path.realpath(__file__)),
'../../../Cargo.toml')
)
utils.run_cmd('cargo deny --manifest-path {} check licenses'.
format(toml_file))
| apache-2.0 | Python |
|
c3f01d8b365e6d367b1a565e5ce59cf04eb1bac3 | fix build | missionpinball/mpf-monitor | get_version.py | get_version.py | """Return the short version string."""
from mpfmonitor._version import __short_version__
print("{}.x".format(__short_version__))
| mit | Python |
|
15d3692aee84432b6b7f8306505b3f59649fd6f9 | Remove mimetype from the module_files table | Connexions/cnx-archive,Connexions/cnx-archive | cnxarchive/sql/migrations/20160128111115_mimetype_removal_from_module_files.py | cnxarchive/sql/migrations/20160128111115_mimetype_removal_from_module_files.py | # -*- coding: utf-8 -*-
"""\
- Move the mimetype value from ``module_files`` to ``files``.
- Remove the ``mimetype`` column from the ``module_files`` table.
"""
from __future__ import print_function
import sys
def up(cursor):
# Move the mimetype value from ``module_files`` to ``files``.
cursor.execute("UPDATE files AS f SET media_type = mf.mimetype "
"FROM module_files AS mf "
"WHERE mf.fileid = f.fileid")
# Warn about missing mimetype.
cursor.execute("SELECT fileid, sha1 "
"FROM files AS f "
"WHERE f.fileid NOT IN (SELECT fileid FROM module_files)")
rows = '\n'.join(['{}, {}'.format(fid, sha1)
for fid, sha1 in cursor.fetchall()])
print("These files (fileid, sha1) do not have a corresponding "
"module_files entry:\n{}\n".format(rows),
file=sys.stderr)
# Remove the ``mimetype`` column from the ``module_files`` table.
cursor.execute("ALTER TABLE module_files DROP COLUMN mimetype")
def down(cursor):
# Add a ``mimetype`` column to the ``module_files`` table.
cursor.execute("ALTER TABLE module_files ADD COLUMN mimetype TEXT")
# Move the mimetype value from ``files`` to ``module_files``.
print("Rollback cannot accurately replace mimetype values that "
"were in the ``modules_files`` table.",
file=sys.stderr)
cursor.execute("UPDATE module_files AS mf SET mimetype = f.media_type "
"FROM files AS f "
"WHERE f.fileid = mf.fileid")
| agpl-3.0 | Python |
|
67b5cd3f00ca57c4251dab65c5a6e15ab2be8a42 | Create result.py | JeckLabs/aiorucaptcha | aiorucaptcha/result.py | aiorucaptcha/result.py | class ResultObject:
def __init__(self, code, task_id):
self.code = code
self.task_id = task_id
def __str__(self):
return self.code
| apache-2.0 | Python |
|
4a7a15359763cbd6956bd30bde7cd68b05b2b4a2 | test _compare_and_pop_smallest | stephtzhang/algorithms | tests/test_huffman_codes.py | tests/test_huffman_codes.py | import sys
import os
sys.path.append(os.path.abspath(os.path.dirname(__file__) + '../..'))
import unittest
from huffman_codes import huffman_codes, Node, Queue, _compare_and_pop_smallest, \
_traverse_children_and_assign_codes
class TestHuffmanCodes(unittest.TestCase):
def test_compare_and_pop_smallest__first_q_smaller(self):
q_1 = Queue()
q_1.enqueue((None, 1))
q_2 = Queue()
q_2.enqueue((None, 2))
output = _compare_and_pop_smallest(q_1, q_2)
self.assertEqual(output[1], 1)
def test_compare_and_pop_smallest__second_q_smaller(self):
q_1 = Queue()
q_1.enqueue((None, 1))
q_2 = Queue()
q_2.enqueue((None, 2))
output = _compare_and_pop_smallest(q_2, q_1)
self.assertEqual(output[1], 1)
def test_compare_and_pop_smallest__first_q_empty(self):
q_1 = Queue()
q_2 = Queue()
q_2.enqueue((None, 2))
output = _compare_and_pop_smallest(q_2, q_1)
self.assertEqual(output[1], 2)
def test_compare_and_pop_smallest__second_q_empty(self):
q_1 = Queue()
q_1.enqueue((None, 1))
q_2 = Queue()
output = _compare_and_pop_smallest(q_2, q_1)
self.assertEqual(output[1], 1)
def test_traverse_children_and_assign_codes(self):
pass
def test_huffman_codes(self):
pass
| mit | Python |
|
43d3158e536b7cae3f427f655b08aa8b4c24fe96 | Add an iter_entry_points style test | mozilla/spicedham,mozilla/spicedham | tests/test_spicedham_api.py | tests/test_spicedham_api.py | from unittest import TestCase
from spicedham import Spicedham
from mock import Mock, patch
class TestSpicedHamAPI(TestCase):
@patch('spicedham.Spicedham._classifier_plugins')
def test_classify(self, mock_plugins):
sh = Spicedham()
plugin0 = Mock()
plugin0.classify.return_value = .5
plugin1 = Mock()
plugin1.classify.return_value = .75
plugin2 = Mock()
plugin2.classify.return_value = None
mock_plugins.__iter__.return_value = [plugin0, plugin1, plugin2]
# Test when some plugins return numbers and some return None
value = sh.classify(['classifying', 'data'])
self.assertEqual(value, 0.625)
# Test when all plugins return one
plugin0.classify.return_value = None
plugin1.classify.return_value = None
value = sh.classify(['classifying', 'data'])
self.assertEqual(value, 0)
@patch('spicedham.iter_entry_points')
@patch('spicedham.Spicedham.backend')
def test_load_backend(self, mock_backend, mock_iter_entry_points):
sh = Spicedham()
mock_backend = None
mock_django_orm = Mock()
mock_iter_entry_points = Mock()
# mock_plugin_class = Mock()
# mock_plugin_object = Mock()
# mock_plugin_class.return_value = mock_plugin_object
# mock_django_orm.load.return_value = mock_plugin_class()
#h= mock_django_orm.name = 'djangoorm'
# mock_sqlalchemy_orm = Mock()
#mock_sqlalchemy_orm.name = 'sqlalchemy'
#mock_plugin_class.return_value = mock_plugin_object
#mock_sqlalchemy_orm.load.return_value = mock_plugin_class()
#mock_iter_entry_points.__iter__.return_value = [mock_django_orm,
# mock_sqlalchemy_orm]
# Test the first run with the django_orm plugin
ret = sh._load_backend()
print 'mm', mock_iter_entry_points.mock_calls
self.assertEqual(ret, mock_plugin_object)
# Test the second run with the django_orm plugin
ret = sh._load_backend()
self.assertEqual(ret, mock_plugin_class.return_value)
# rest the backend for the next test
mock_backend = None
mock_iter_entry_points.return_value = [mock_django_orm,
mock_sqlalchemy_orm]
# Test the first run with the sqlalchemy plugin
ret = sh._load_backend()
self.assertEqual(ret, mock_plugin_class.return_value)
# Test the second run with the sqlalchemy plugin
ret = sh._load_backend()
self.assertEqual(ret, mock_plugin_class.return_value)
@patch('spicedham.Spicedham._load_backend')
@patch('spicedham.iter_entry_points')
def test_load_plugins(self, mock_iter_entry_points, mock_load_backend):
#plugin0 = Mock()
plugin0Object = Mock()
#plugin0Class = Mock(return_value=plugin0Object)
#plugin0.load = Mock(return_value=plugin0Class)
#plugin1 = Mock()
plugin1Object = Mock()
#plugin1Class = Mock(return_value=plugin1Object)
#plugin1.load = Mock(return_value=plugin1Class)
#plugin2 = Mock()
plugin2Object = Mock()
#plugin2Class = Mock(return_value=plugin2Object)
#plugin2.load = Mock(return_value=plugin2Class)
input_plugins = [plugin0Object, plugin1Object, plugin2Object]
expected_plugins = [plugin0Object.load, plugin1Object.load, plugin2Object.load]
mock_iter_entry_points.return_value = input_plugins
self.assertEqual(spicedham._plugins, None)
# now load the plugins
load_plugins()
mock_iter_entry_points.assert_called_with(group='spicedham.classifiers', name=None)
self.assertEqual(spicedham._plugins, expected_plugins)
# now load the plugins again, they should not change
mock_iter_entry_points.called = False
load_plugins()
self.assertEqual(mock_iter_entry_points.called, False)
self.assertEqual(spicedham._plugins, input_plugins)
| mpl-2.0 | Python |
|
ba49a66b401bc32e57abede6adc5a0f933e8834a | Add tests for view helpers | IRI-Research/django-cas-ng,11h42/django-cas-ng,wrygiel/django-cas-ng,nitmir/django-cas-ng,bgroff/django-cas-ng,forcityplatform/django-cas-ng,pbaehr/django-cas-ng,11h42/django-cas-ng,mingchen/django-cas-ng | tests/test_views_helpers.py | tests/test_views_helpers.py | from django.test import RequestFactory
from django_cas_ng.views import (
_service_url,
_redirect_url,
_login_url,
_logout_url,
)
#
# _service_url tests
#
def test_service_url_helper():
factory = RequestFactory()
request = factory.get('/login/')
actual = _service_url(request)
expected = 'http://testserver/login/'
assert actual == expected
def test_service_url_helper_as_https():
factory = RequestFactory()
request = factory.get('/login/', secure=True)
actual = _service_url(request)
expected = 'https://testserver/login/'
assert actual == expected
def test_service_url_helper_with_redirect():
factory = RequestFactory()
request = factory.get('/login/', secure=True)
actual = _service_url(request, redirect_to='https://testserver/landing-page/')
expected = 'https://testserver/login/?next=https%3A%2F%2Ftestserver%2Flanding-page%2F'
assert actual == expected
#
# _redirect_url tests
#
def test_redirect_url_with_url_as_get_parameter():
factory = RequestFactory()
request = factory.get('/login/', data={'next': '/landing-page/'}, secure=True)
actual = _redirect_url(request)
expected = '/landing-page/'
assert actual == expected
def test_redirect_url_falls_back_to_cas_redirect_url_setting(settings):
settings.CAS_IGNORE_REFERER = True
settings.CAS_REDIRECT_URL = '/landing-page/'
factory = RequestFactory()
request = factory.get('/login/', secure=True)
actual = _redirect_url(request)
expected = '/landing-page/'
assert actual == expected
def test_params_redirect_url_preceeds_settings_redirect_url(settings):
settings.CAS_IGNORE_REFERER = True
settings.CAS_REDIRECT_URL = '/landing-page/'
factory = RequestFactory()
request = factory.get('/login/', data={'next': '/override/'}, secure=True)
actual = _redirect_url(request)
expected = '/override/'
assert actual == expected
def test_redirect_url_falls_back_to_http_referrer(settings):
settings.CAS_IGNORE_REFERER = False
settings.CAS_REDIRECT_URL = '/wrong-landing-page/'
factory = RequestFactory()
request = factory.get('/login/', secure=True, HTTP_REFERER='/landing-page/')
actual = _redirect_url(request)
expected = '/landing-page/'
assert actual == expected
def test_redirect_url_strips_domain_prefix(settings):
settings.CAS_IGNORE_REFERER = True
settings.CAS_REDIRECT_URL = 'https://testserver/landing-page/'
factory = RequestFactory()
request = factory.get('/login/', secure=True)
actual = _redirect_url(request)
expected = '/landing-page/'
assert actual == expected
#
# _login_url tests
#
def test_login_url_helper(settings):
settings.CAS_RENEW = False
settings.CAS_EXTRA_LOGIN_PARAMS = False
settings.CAS_SERVER_URL = 'http://www.example.com/cas/'
actual = _login_url('http://testserver/')
expected = 'http://www.example.com/cas/login?service=http%3A%2F%2Ftestserver%2F'
assert actual == expected
def test_login_url_helper_with_extra_params(settings):
settings.CAS_RENEW = False
settings.CAS_EXTRA_LOGIN_PARAMS = {'test': '1234'}
settings.CAS_SERVER_URL = 'http://www.example.com/cas/'
actual = _login_url('http://testserver/')
# since the dictionary of parameters is unordered, we dont know which
# parameter will be first, so just check that both are in the url.
assert 'service=http%3A%2F%2Ftestserver%2F' in actual
assert 'test=1234' in actual
def test_login_url_helper_with_renew(settings):
settings.CAS_RENEW = True
settings.CAS_EXTRA_LOGIN_PARAMS = None
settings.CAS_SERVER_URL = 'http://www.example.com/cas/'
actual = _login_url('http://testserver/')
# since the dictionary of parameters is unordered, we dont know which
# parameter will be first, so just check that both are in the url.
assert 'service=http%3A%2F%2Ftestserver%2F' in actual
assert 'renew=true' in actual
#
# _login_url tests
#
def test_logout_url_helper(settings):
settings.CAS_SERVER_URL = 'https://www.example.com/cas/'
factory = RequestFactory()
request = factory.get('/logout/')
actual = _logout_url(request)
expected = 'https://www.example.com/cas/logout'
assert actual == expected
def test_logout_url_helper_with_redirect(settings):
settings.CAS_SERVER_URL = 'https://www.example.com/cas/'
factory = RequestFactory()
request = factory.get('/logout/')
actual = _logout_url(request, next_page='/landing-page/')
expected = 'https://www.example.com/cas/logout?url=http%3A%2F%2Ftestserver%2Flanding-page%2F'
assert actual == expected
| mit | Python |
|
3f84a3cb50e18ce9df96a9173d0be180633aad0d | Add polynomial learning example | SamuelWarner/Python-ML | Examples/polynomial_approximation.py | Examples/polynomial_approximation.py | """
Example of neural network learning a polynomial equation. Test polynomial is f(x) = (6x^2 + 3x) ÷ (3x)
Training is run on x values from 1.0 to 100.0
"""
from mazex import MazeX
import numpy as np
import random
import math
import matplotlib.pyplot as plt
# Create list to store how close networks guesses are
graph_data = []
# Create Neural Network
net = MazeX([1, 20, 4, 1], ["relu", "relu", 'lin'], learning_constant=0.00001)
# test how close the network is to the correct answer given x = 12 and log the result for the graph
def check(run):
guess = net.forward(np.array([[12.0]]))
print(f"run {run} OFF BY: {25 - guess[0][0]}")
graph_data.append(25 - guess[0][0])
# run a bunch of training steps on random values to help network learn the polynomial
for i in range(100):
t = random.uniform(1.0, 100.0)
ans = ((6 * math.pow(t, 2)) + (3 * t)) / (3 * t)
Y = np.full((1, 1), ans)
X = np.full((1, 1), t)
net.train(X, Y)
check(i)
# plot the training data for visual feedback of learning progress. Saves graph to same directory as script
plt.plot(graph_data)
plt.ylabel('Error')
plt.xlabel("training run")
plt.title('Error over time')
plt.savefig(f'Polynomial_approximation.png')
| mit | Python |
|
abe40e3c82ef1f351275a59b2e537f43530caa0c | Clean up db script (remove articles older than two days). | hw3jung/Gucci,hw3jung/Gucci | app/cleanup_stories.py | app/cleanup_stories.py | from pymongo import MongoClient
from fetch_stories import get_mongo_client, close_mongo_client
from bson import ObjectId
from datetime import datetime, timedelta
def remove_old_stories():
client = get_mongo_client()
db = client.get_default_database()
article_collection = db['articles']
two_days_ago = datetime.utcnow() - timedelta(days=2)
two_days_ago = ObjectId.from_datetime(two_days_ago)
query = {
'_id' : { '$lt' : two_days_ago}
}
article_collection.remove(query)
close_mongo_client(client)
def main():
remove_old_stories()
if __name__ == '__main__':
main()
| mit | Python |
|
ba590d28810409fa57783e6d29a651790f865e5c | create base api exceptions module | apipanda/openssl,apipanda/openssl,apipanda/openssl,apipanda/openssl | apps/api/exceptions.py | apps/api/exceptions.py | import json
from tastypie.exceptions import TastypieError
from tastypie.http import HttpResponse
class CustomBadRequest(TastypieError):
"""
This exception is used to interrupt the flow of processing to immediately
return a custom HttpResponse.
"""
def __init__(self, success=False, code="", message=""):
self._response = {
"error": {
"success": success or False,
"code": code or "not_provided",
"message": message or "No error message was provided."}}
@property
def response(self):
return HttpResponse(
json.dumps(self._response),
content_type='application/json')
| mit | Python |
|
b1a5764956e0f569b4955dbf43e5656873c903f6 | Create new package. (#7649) | LLNL/spack,mfherbst/spack,EmreAtes/spack,EmreAtes/spack,LLNL/spack,tmerrick1/spack,iulian787/spack,matthiasdiener/spack,krafczyk/spack,iulian787/spack,EmreAtes/spack,tmerrick1/spack,krafczyk/spack,tmerrick1/spack,LLNL/spack,LLNL/spack,EmreAtes/spack,krafczyk/spack,mfherbst/spack,matthiasdiener/spack,mfherbst/spack,iulian787/spack,tmerrick1/spack,krafczyk/spack,krafczyk/spack,iulian787/spack,mfherbst/spack,matthiasdiener/spack,LLNL/spack,iulian787/spack,matthiasdiener/spack,matthiasdiener/spack,EmreAtes/spack,tmerrick1/spack,mfherbst/spack | var/spack/repos/builtin/packages/soapdenovo-trans/package.py | var/spack/repos/builtin/packages/soapdenovo-trans/package.py | ##############################################################################
# Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, [email protected], All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/spack/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class SoapdenovoTrans(MakefilePackage):
"""SOAPdenovo-Trans is a de novo transcriptome assembler basing on the
SOAPdenovo framework, adapt to alternative splicing and different
expression level among transcripts."""
homepage = "http://soap.genomics.org.cn/SOAPdenovo-Trans.html"
url = "https://github.com/aquaskyline/SOAPdenovo-Trans/archive/1.0.4.tar.gz"
version('1.0.4', 'a3b00b0f743b96141c4d5f1b49f2918c')
build_directory = 'src'
def edit(self, spec, prefix):
with working_dir(self.build_directory):
makefile = FileFilter('Makefile')
makefile.filter('CFLAGS= -O3 -fomit-frame-pointer -static',
'CFLAGS= -O3 -fomit-frame-pointer')
def build(self, spec, prefix):
with working_dir(self.build_directory):
make()
make('127mer=1', parallel=False)
def install(self, spec, prefix):
install_tree('.', prefix.bin)
| lgpl-2.1 | Python |
|
402004b1a0612e5b4eeb703f3787dd1b7f3def30 | make auto migration | DrMartiner/django-yandex-kassa,VladimirFilonov/django-yandex-kassa,VladimirFilonov/django-yandex-kassa | yandex_kassa/migrations/0004_auto_20151209_0940.py | yandex_kassa/migrations/0004_auto_20151209_0940.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('yandex_kassa', '0003_auto_20151116_1530'),
]
operations = [
migrations.AlterModelOptions(
name='payment',
options={'ordering': ('-created',), 'verbose_name': '\u043f\u043b\u0430\u0442\u0435\u0436', 'verbose_name_plural': '\u041f\u043b\u0430\u0442\u0435\u0436\u0438'},
),
migrations.AlterField(
model_name='payment',
name='scid',
field=models.PositiveIntegerField(default=528277, verbose_name=b'\xd0\x9d\xd0\xbe\xd0\xbc\xd0\xb5\xd1\x80 \xd0\xb2\xd0\xb8\xd1\x82\xd1\x80\xd0\xb8\xd0\xbd\xd1\x8b'),
),
migrations.AlterField(
model_name='payment',
name='shop_id',
field=models.PositiveIntegerField(default=104674, verbose_name=b'ID \xd0\xbc\xd0\xb0\xd0\xb3\xd0\xb0\xd0\xb7\xd0\xb8\xd0\xbd\xd0\xb0'),
),
]
| mit | Python |
|
7ec4133b11ba91541e9ec9895e39a2c402c63087 | define the AVB loss separately | gdikov/vae-playground | avb/models/avb_loss.py | avb/models/avb_loss.py | import keras.backend as ker
from keras.layers import Layer
from keras.losses import categorical_crossentropy
class AVBLossLayer(Layer):
def __init__(self, **kwargs):
self.is_placeholder = True
super(AVBLossLayer, self).__init__(**kwargs)
@staticmethod
def avb_loss(discrim_output_posterior, discrim_output_posterior_prior, data_log_probs):
# 1/m * sum_{i=1}^m log p(x_i|z), where z = encoder(x_i, epsilon_i)
reconstruction_log_likelihood = ker.mean(ker.sum(data_log_probs, axis=1))
# The decoder tries to maximise the reconstruction data log-likelihood
decoder_loss = -reconstruction_log_likelihood
# The encoder tries to minimize the discriminator output
encoder_loss = ker.mean(discrim_output_posterior)
# The dicriminator loss is the GAN loss with input from the prior and posterior distributions
discriminator_loss = ker.mean(categorical_crossentropy(y_true=ker.ones_like(discrim_output_posterior),
y_pred=discrim_output_posterior)
+ categorical_crossentropy(y_true=ker.zeros_like(discrim_output_posterior_prior),
y_pred=discrim_output_posterior_prior))
return ker.mean(encoder_loss + decoder_loss + discriminator_loss)
def call(self, inputs, **kwargs):
discrim_output_posterior, discrim_output_prior, decoder_output_log_probs = inputs
loss = self.avb_loss(discrim_output_posterior, discrim_output_prior, decoder_output_log_probs)
self.add_loss(loss, inputs=inputs)
# unused output
return inputs[0]
| mit | Python |
|
fd54c28be8d9ffd7e5711035bf5b5e1b7fe332cc | Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/ab2e190c2bfe60b3b738c125ca9db1a2785cdcaa. | tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-Corporation/tensorflow,gautam1858/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,frreiss/tensorflow-fred,paolodedios/tensorflow,Intel-Corporation/tensorflow,gautam1858/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,gautam1858/tensorflow,Intel-Corporation/tensorflow,gautam1858/tensorflow,gautam1858/tensorflow,frreiss/tensorflow-fred,Intel-tensorflow/tensorflow,yongtang/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,frreiss/tensorflow-fred,karllessard/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-Corporation/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,frreiss/tensorflow-fred,paolodedios/tensorflow,tensorflow/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,karllessard/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow,Intel-Corporation/tensorflow,yongtang/tensorflow,tensorflow/tensorflow | third_party/tf_runtime/workspace.bzl | third_party/tf_runtime/workspace.bzl | """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "ab2e190c2bfe60b3b738c125ca9db1a2785cdcaa"
TFRT_SHA256 = "b097063dd10c010e827e58cc8e5a0e4008d99bcba1dcb20259c8ef890620b9b5"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
| """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "285e48bc47db23a479637fd1e2767b9a35dc2c9b"
TFRT_SHA256 = "6f0067d0cb7bb407caeef060603b6e33f1231cddf1ce4ce2ebce027dc418764f"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
| apache-2.0 | Python |
c9c00a6a5ab267ab56dd147e6542cae6566061d8 | Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/dc109b725d8f36f8c7db7847f0c95a819c43f9e9. | tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,gautam1858/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,yongtang/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,tensorflow/tensorflow,yongtang/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,paolodedios/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,yongtang/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow | third_party/tf_runtime/workspace.bzl | third_party/tf_runtime/workspace.bzl | """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "dc109b725d8f36f8c7db7847f0c95a819c43f9e9"
TFRT_SHA256 = "e6a6359ecd731f7208f32402fac9bf874b26855497c0252fcddc44e5133320df"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
| """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "4bcf968d66a6bb2899b9d99917b916f6ec04c327"
TFRT_SHA256 = "9bd2cc2e7003f73f767e138ae4776b43d15ca286f0f85ad374ec5f8aaeab1aa4"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
| apache-2.0 | Python |
d81a2b0328c86165b09c2d41aa2a4684c75388cd | Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/78537f15f4873bbed59258bed4442225303f462a. | tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,yongtang/tensorflow,karllessard/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,gautam1858/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,karllessard/tensorflow,karllessard/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,gautam1858/tensorflow,gautam1858/tensorflow,karllessard/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,yongtang/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,paolodedios/tensorflow | third_party/tf_runtime/workspace.bzl | third_party/tf_runtime/workspace.bzl | """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "78537f15f4873bbed59258bed4442225303f462a"
TFRT_SHA256 = "87526ed2a287d7809b2cadf82f9db94994b0019635d431f2fc9c3db2bd4a31cc"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
| """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "a2f5e07760d2a888370d0686546b757ee9628494"
TFRT_SHA256 = "70653b94faa603befef83457482c8a1151fa529b3215124e18a0f97592d5ad05"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = tf_mirror_urls("https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT)),
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
| apache-2.0 | Python |
8c1b20941c1216bb56fa55fe881962d2ea883366 | Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/c68238f982305e3618a2b5347e1e0a5663898c90. | gautam1858/tensorflow,paolodedios/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,gautam1858/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,yongtang/tensorflow,karllessard/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,paolodedios/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,Intel-Corporation/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,karllessard/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,karllessard/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,Intel-Corporation/tensorflow,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,karllessard/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once | third_party/tf_runtime/workspace.bzl | third_party/tf_runtime/workspace.bzl | """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "c68238f982305e3618a2b5347e1e0a5663898c90"
TFRT_SHA256 = "b28ed95058c101a9d3203ddbaa271044de984f6b49c5609124e1cb4ae0b3e165"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
| """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "377c20166e8e1b5124493c1433b1df34ca62cf3f"
TFRT_SHA256 = "f0c3c03e7d9ca2e10c3256f28bf9c0aa0aa26d9aa4da539c00532ee5217ba7ba"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
| apache-2.0 | Python |
5a8fde172f0fc7aff841e8059927ff126712b321 | Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/feffe7beb261f6dfe9af083e8f46dfea293ded54. | tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,paolodedios/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,karllessard/tensorflow,Intel-Corporation/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,gautam1858/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,Intel-Corporation/tensorflow,Intel-tensorflow/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-tensorflow/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-Corporation/tensorflow,tensorflow/tensorflow,karllessard/tensorflow,karllessard/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,gautam1858/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow | third_party/tf_runtime/workspace.bzl | third_party/tf_runtime/workspace.bzl | """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "feffe7beb261f6dfe9af083e8f46dfea293ded54"
TFRT_SHA256 = "830492c8a9884e5ca84b15a4da953491f74b2ffbd45656352d58b624e881b9b7"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
| """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "509cf2f10beb666002ece6a7b968fe2c7c0c1e4b"
TFRT_SHA256 = "14b22d39d3eebcf255e4dd8ee8630b4da3ecc786f5053adf9c94a2e42362ee0c"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
# A patch file can be provided for atomic commits to both TF and TFRT.
# The job that bumps the TFRT_COMMIT also resets patch_file to 'None'.
patch_file = None,
)
| apache-2.0 | Python |
e42862ce7bde45e90bec0980f3c35c5cef5c65b6 | Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/47a1de40f17e70f901238edfe99dc510a5db797a. | Intel-Corporation/tensorflow,frreiss/tensorflow-fred,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,yongtang/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,paolodedios/tensorflow,sarvex/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,frreiss/tensorflow-fred,yongtang/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,sarvex/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,gautam1858/tensorflow,sarvex/tensorflow,karllessard/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,frreiss/tensorflow-fred,Intel-Corporation/tensorflow,karllessard/tensorflow,yongtang/tensorflow,sarvex/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,karllessard/tensorflow,karllessard/tensorflow,tensorflow/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,frreiss/tensorflow-fred,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,yongtang/tensorflow,tensorflow/tensorflow-pywrap_saved_model,frreiss/tensorflow-fred,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,frreiss/tensorflow-fred,paolodedios/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,paolodedios/tensorflow,Intel-Corporation/tensorflow,Intel-tensorflow/tensorflow,Intel-tensorflow/tensorflow,frreiss/tensorflow-fred,tensorflow/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,paolodedios/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,sarvex/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,sarvex/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,sarvex/tensorflow,karllessard/tensorflow,sarvex/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,karllessard/tensorflow | third_party/tf_runtime/workspace.bzl | third_party/tf_runtime/workspace.bzl | """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "47a1de40f17e70f901238edfe99dc510a5db797a"
TFRT_SHA256 = "87631491c3fdd34b4d00b6999274468b89a98f23113aeafa15b53c3a7517fc36"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
| """Provides the repository macro to import TFRT."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo():
"""Imports TFRT."""
# Attention: tools parse and update these lines.
TFRT_COMMIT = "033f079420053002701271e4173bdcaf21bd1b73"
TFRT_SHA256 = "15c1c5a3617b91322d4ef96ce884676d27164cf94211f83bc1fcec50ab96aad4"
tf_http_archive(
name = "tf_runtime",
sha256 = TFRT_SHA256,
strip_prefix = "runtime-{commit}".format(commit = TFRT_COMMIT),
urls = [
"http://mirror.tensorflow.org/github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
"https://github.com/tensorflow/runtime/archive/{commit}.tar.gz".format(commit = TFRT_COMMIT),
],
)
| apache-2.0 | Python |
5ab54cf353cece6a8754a1869d8f342ba0a8b351 | Add a script to find and compare F* execution times | project-everest/vale,project-everest/vale,project-everest/vale,project-everest/vale | tools/scripts/collect-fstar-times.py | tools/scripts/collect-fstar-times.py | #!/usr/bin/python
import argparse
import os
import glob
import re
import time
import sys
import fnmatch
import pickle
from prettytable import PrettyTable # Install via: easy_install PrettyTable
def find_fstar_output_files(directory):
matches = []
extensions = ["vfsti", "vfst"]
# Based on: https://stackoverflow.com/a/2186565
for root, dirnames, filenames in os.walk(directory):
for ext in extensions:
for filename in fnmatch.filter(filenames, '*.' + ext):
matches.append(os.path.join(root, filename))
return matches
def parse_fstar_output(filename):
time = 0
found = False
with open(filename, "r") as f:
for line in f.readlines():
result = re.search("Verified.*\((\d+) milliseconds\)", line)
if result:
time += int(result.group(1))
found = True
if found:
return time
else:
return None
def collect_times_dir(d):
files = find_fstar_output_files(d)
times = {}
for f in files:
times[f] = parse_fstar_output(f)
return times
def collect_times(directories):
times = {}
for d in directories:
times.update(collect_times_dir(d))
return times
def display_times(times):
tab = PrettyTable(["Filename", "Time", "Full Path"])
tab.align["Filename"] = "l"
tab.align["Time"] = "r"
tab.align["FullPath"] = "l"
total_time = 0
for f in sorted(times.keys()):
filename = os.path.basename(f)
tab.add_row([filename, times[f], f])
if not times[f] is None:
total_time += times[f]
tab.add_row(["", "", ""])
tab.add_row(["Total", total_time, ""])
print(tab)
def store_times(times, label):
pickle_file = "times." + label + ".pickle"
if not os.path.isfile(pickle_file):
with open(pickle_file, "wb") as pickler:
pickle.dump(times, pickler)
else:
print "WARNING: Found existing pickled file %s. No data written. Consider moving or deleting it." % pickle_file
def load_times(filename):
with open(filename, "rb") as pickler:
return pickle.load(pickler)
def compute_diff(times1, times2):
diffs = {}
for f,t in times1.items():
if f in times2 and not t is None:
diffs[f] = t - times2[f]
return diffs
def display_diffs(times, diffs):
tab = PrettyTable(["Filename", "t1 time", "delta", "delta \%","Full Path"])
tab.align["Filename"] = "l"
tab.align["t1 time"] = "r"
tab.align["delta"] = "r"
tab.align["delta \%"] = "r"
tab.align["FullPath"] = "l"
tab.sortby = "delta"
total_time = 0
total_delta = 0
for f in sorted(times.keys()):
filename = os.path.basename(f)
delta = "n/a"
delta_percent = "n/a"
if f in diffs:
delta = diffs[f]
delta_percent = "%0.1f" % (delta / float(times[f]))
tab.add_row([filename, times[f], delta, delta_percent, f])
if not times[f] is None:
total_time += times[f]
total_delta += delta
tab.add_row(["", "", "", "", ""])
#tab.add_row(["Total", total_time, total_delta, total_delta / float(total_time), ""])
print(tab)
def main():
parser = argparse.ArgumentParser(description= 'Collect and summarize F* verification times')
parser.add_argument('--dir', action='append', required=False, help='Collect all results in this folder and its subfolders')
parser.add_argument('--label', action='store', required=False, help='Label for file containing the results')
parser.add_argument('--t1', action='store', required=False, help='File of times to compare to t2')
parser.add_argument('--t2', action='store', required=False, help='File of times to compare to t1')
args = parser.parse_args()
if (not args.dir is None) and (not args.label is None):
times = collect_times(args.dir)
display_times(times)
store_times(times, args.label)
sys.exit(0)
if (not args.t1 is None) and (not args.t2 is None):
times1 = load_times(args.t1)
times2 = load_times(args.t2)
diffs = compute_diff(times1, times2)
display_diffs(times1, diffs)
sys.exit(0)
print("Invalid or insufficient arguments supplied. Try running with -h")
if (__name__=="__main__"):
main()
| apache-2.0 | Python |
|
a6cc742a7272d1138031e26c61fd10617e6b0ac1 | Initialize transpositionTest | JoseALermaIII/python-tutorials,JoseALermaIII/python-tutorials | books/CrackingCodesWithPython/Chapter09/transpositionTest.py | books/CrackingCodesWithPython/Chapter09/transpositionTest.py | # Transposition Cipher Test
# https://www.nostarch.com/crackingcodes/ (BSD Licensed)
import random, sys, transpositionEncrypt, transpositionDecrypt
def main():
random.seed(42) # Set the random "seed" to a static value.
for i in range(20): # Run 20 tests.
# Generate random messages to test.
# The message will have a random length:
message = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' * random.randint(4, 40)
# Convert the message string to a list to shuffle it:
message = list(message)
random.shuffle(message)
message = ''.join(message) # Convert the list back to a string.
print('Test #%s: %s..."' % (i + 1, message[:50]))
# Check all possible keys for each message:
for key in range(1, int(len(message)/2)):
encrypted = transpositionEncrypt.encryptMessage(key, message)
decrypted = transpositionDecrypt.decryptMessage(key, encrypted)
# If the decryption doesn't match the original message, display
# an error message and quit:
if message != decrypted:
print('Mismatch with key %s and message %s.' % (key, message))
print('Decrypted as: ' + decrypted)
sys.exit()
print('Transposition cipher test passed.')
# If transpositionTest.py is run (instead of imported as a module) call
# the main() function:
if __name__ == '__main__':
main()
| mit | Python |
|
1c7daf0bd9801885d7740620b3e81faa03ce49d4 | add sign/verify json tests | matrix-org/matrix-python-sdk | test/crypto/olm_device_test.py | test/crypto/olm_device_test.py | from copy import deepcopy
from matrix_client.client import MatrixClient
from matrix_client.crypto.olm_device import OlmDevice
HOSTNAME = 'http://example.com'
class TestOlmDevice:
cli = MatrixClient(HOSTNAME)
user_id = '@user:matrix.org'
device_id = 'QBUAZIFURK'
device = OlmDevice(cli.api, user_id, device_id)
signing_key = device.olm_account.identity_keys['ed25519']
def test_sign_json(self):
example_payload = {
"name": "example.org",
"unsigned": {
"age_ts": 922834800000
}
}
saved_payload = deepcopy(example_payload)
signed_payload = self.device.sign_json(example_payload)
signature = signed_payload.pop('signatures')
# We should not have modified the payload besides the signatures key
assert example_payload == saved_payload
key_id = 'ed25519:' + self.device_id
assert signature[self.user_id][key_id]
def test_verify_json(self):
example_payload = {
"test": "test",
"unsigned": {
"age_ts": 922834800000
},
"signatures": {
"@user:matrix.org": {
"ed25519:QBUAZIFURK": ("WI7TgwqTp4YVn1dFWmDu7xrJvEikEzAbmoqyM5JY5t0P"
"6fVaiMFAirmwb13GzIyYDLR+nQfoksNBcrp7xSaMCA")
}
}
}
saved_payload = deepcopy(example_payload)
signing_key = "WQF5z9b4DV1DANI5HUMJfhTIDvJs1jkoGTLY6AQdjF0"
assert self.device.verify_json(example_payload, signing_key, self.user_id,
self.device_id)
# We should not have modified the payload
assert example_payload == saved_payload
# Try to verify an object that has been tampered with
example_payload['test'] = 'test1'
assert not self.device.verify_json(example_payload, signing_key, self.user_id,
self.device_id)
# Try to verify invalid payloads
example_payload['signatures'].pop(self.user_id)
assert not self.device.verify_json(example_payload, signing_key, self.user_id,
self.device_id)
example_payload.pop('signatures')
assert not self.device.verify_json(example_payload, signing_key, self.user_id,
self.device_id)
def test_sign_verify(self):
example_payload = {
"name": "example.org",
}
signed_payload = self.device.sign_json(example_payload)
assert self.device.verify_json(signed_payload, self.signing_key, self.user_id,
self.device_id)
| apache-2.0 | Python |
|
c4ffd77a56e09f3b418e6d13e8339fe693fffbdb | add fasd_cleanup script | ratheesh/dot-files,ratheesh/dot-files | misc/fasd_clean.py | misc/fasd_clean.py | #/usr/bin/env python
# Copyright (C) 2015 Ratheesh S<[email protected]>
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
# 02110-1301, USA.
import os
db_file = "/home/ratheesh/.fasd"
purged_items = 0
try:
f = open(db_file, "r+")
except IOError:
print 'ERROR: No File found: %s' % db_file
exit(1)
d = f.readlines()
f.close()
try:
f = open(db_file, "w+")
except IOError:
print 'ERROR: No File found: %s' % db_file
exit(1)
print "Cleaning fasd database ..."
for i in d:
path, sep, misc = i.partition('|')
if os.path.exists(path):
f.write(i)
else:
print 'Removing %s' % path
purged_items += 1 # increment purged items
f.close()
if purged_items == 0:
print "fasd database is clean!"
else:
print "---------------------------------------"
print "No. of Purged Items: %d" % purged_items
# End of File
| apache-2.0 | Python |
|
2a45679c02e74ce7a63e259b1475d4190086084e | Add errors to zombase | mozaiques/zombase,ouihelp/yesaide | zombase/errors.py | zombase/errors.py | # -*- coding: utf-8 -*-
class ZombaseRuntimeError(Exception):
pass
| mit | Python |
|
629c9e330e6114680f22af125252d95fb6989201 | update migrations for link manager | veselosky/webquills,veselosky/webquills,veselosky/webquills | webquills/linkmgr/migrations/0002_alter_linkcategory_site.py | webquills/linkmgr/migrations/0002_alter_linkcategory_site.py | # Generated by Django 3.2 on 2021-06-07 11:11
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('wqsites', '0001_initial'),
('linkmgr', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='linkcategory',
name='site',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='link_lists', to='wqsites.site', verbose_name='site'),
),
]
| apache-2.0 | Python |
|
24e2ddfd49aa2c05879460baeb67ed6cc75ffa87 | fix benchmark script | rabernat/pyqg,jamesp/pyqg,crocha700/pyqg,pyqg/pyqg | benchmark/benchmark.py | benchmark/benchmark.py | import pyqg
import time
import cProfile
import pstats
import numpy as np
tmax = 8000*1000
dtfac = 64 * 8000.
mynx = [32, 64, 128, 256, 512, 1024, 2048]
mynth = [1,2,4,8,16,32]
res = np.zeros((len(mynx), 5))
print 'nx, threads, timesteps, time'
for j, nx in enumerate(mynx):
dt = dtfac / nx
#for i, (use_fftw, nth) in enumerate([(False, 1), (True, 1),
# (True, 2), (True, 4), (True, 8)]):
for i, nth in enumerate(mynth):
m = pyqg.QGModel(nx=nx, tmax=tmax, dt=dt, ntd=nth,
# no output
twrite=np.inf,
# no time average
taveint=np.inf,)
tic = time.time()
m.run()
toc = time.time()
tottime = toc-tic
#res[j,i] = tottime
#print 'nx=%3d, fftw=%g, threads=%g: %g' % (nx, use_fftw, nth, tottime)
print '%3d, %3d, %8d, %10.4f' % (nx, nth, m.tc, tottime)
# # profiling
# prof = cProfile.Profile()
# prof.run('m.run()')
# p = pstats.Stats(prof)
# p.sort_stats('cum').print_stats(0.3)
| from pyqg import qg_model, model
import time
import cProfile
import pstats
import numpy as np
tmax = 104000000
dtfac = (64 * 8000.)
mynx = [32, 64, 128, 256]
res = np.zeros((len(mynx), 5))
for j, nx in enumerate(mynx):
dt = dtfac / nx
for i, (use_fftw, nth) in enumerate([(False, 1), (True, 1),
(True, 2), (True, 4), (True, 8)]):
m = qg_model.QGModel(nx=64, tmax=tmax, dt=dt,
use_fftw=use_fftw, ntd=nth)
tic = time.time()
m.run()
toc = time.time()
tottime = toc-tic
res[j,i] = tottime
print 'nx=%3d, fftw=%g, threads=%g: %g' % (nx, use_fftw, nth, tottime)
# # profiling
# prof = cProfile.Profile()
# prof.run('m.run()')
# p = pstats.Stats(prof)
# p.sort_stats('cum').print_stats(0.3)
| mit | Python |
078727dcaba9f7861f84ab7ef61e653f28253226 | add script | grinich/mdmvendorsign,tjmoney0201/mdmvendorsign | mdm_vendor_sign.py | mdm_vendor_sign.py | # This is based loosely on Softthinker's java code found here
# http://www.softhinker.com/in-the-news/iosmdmvendorcsrsigning
# fuck java
import argparse
from plistlib import writePlistToString
import os
import subprocess
from base64 import b64encode
import sys
import urllib2
def p(s):
sys.stdout.write(s)
sys.stdout.flush()
def mdm_vendor_sign():
"""
This utility will create a properly encoded certifiate signing request
that you can upload to identity.apple.com/pushcert
"""
parser = argparse.ArgumentParser(description=mdm_vendor_sign.__doc__)
parser.add_argument('--key', help='Private key', required=True)
parser.add_argument('--csr', help='Certificate signing request', required=True)
parser.add_argument('--mdm', help='MDM vendor certificate', required=True)
parser.add_argument('--out', help='Output filename', required=False)
cli_args = vars(parser.parse_args())
# Verify CSR
# openssl req -text -noout -verify -in CSR.csr
p('Verifying %s ... ' % cli_args['csr'])
csr_file = open(cli_args['csr']).read()
args = ['openssl', 'req', '-noout', '-verify' ]
command = subprocess.Popen(args, stdout=subprocess.PIPE, stdin=subprocess.PIPE, stderr=subprocess.STDOUT)
output, error = command.communicate(input = csr_file)
if output.rstrip().split('\n')[0] == 'verify OK':
p('OK\n')
else:
p('FAILED\n')
return
# Verify private key
# openssl rsa -in privateKey.key -check
p('Verifying %s ... ' % cli_args['key'])
key_file = open(cli_args['key']).read()
args = ['openssl', 'rsa', '-check', '-noout' ]
command = subprocess.Popen(args, stdout=subprocess.PIPE, stdin=subprocess.PIPE, stderr=subprocess.STDOUT)
output, error = command.communicate(input = key_file)
if output.rstrip().split('\n')[0] == 'RSA key ok':
p('OK\n')
else:
p('FAILED\n\n')
print """If you don't have the plain private key already, you need
to extract it from the pkcs12 file...
First convert to PEM
openssl pkcs12 -in filename.p12 -nocerts -out key.pem
Then export the certificate file from the pfx file
openssl pkcs12 -in filename.pfx -clcerts -nokeys -out cert.pem
Lastly Remove the passphrase from the private key
openssl rsa -in key.pem -out the_private_key.key
"""
return
# Verify MDM vendor certificate
# openssl x509 -noout -in mdm.cer -inform DER
p('Verifying %s ... ' % cli_args['mdm'])
mdm_cert_file = open(cli_args['mdm']).read()
args = ['openssl', 'x509', '-noout', '-inform', 'DER' ]
command = subprocess.Popen(args, stdout=subprocess.PIPE, stdin=subprocess.PIPE, stderr=subprocess.STDOUT)
output, error = command.communicate(input = mdm_cert_file)
if len(output) == 0:
p('OK\n')
else:
p('FAILED\n')
return
# Convert CSR to DER format
# openssl req -inform pem -outform der -in customer.csr -out customer.der
p('Converting %s to DER format... ' % cli_args['csr'])
args = ['openssl', 'req', '-inform', 'pem', '-outform', 'der' ]
command = subprocess.Popen(args, stdout=subprocess.PIPE, stdin=subprocess.PIPE, stderr=subprocess.STDOUT)
output, error = command.communicate(input = csr_file)
if error:
p('FAILED\n')
return
p('OK\n')
csr_der = output
csr_b64 = b64encode(csr_der)
# Sign the CSR with the private key
# openssl sha1 -sign private_key.key -out signed_output.rsa data_to_sign.txt
p('Signing CSR with private key... ')
args = ['openssl', 'sha1', '-sign', cli_args['key'] ]
command = subprocess.Popen(args, stdout=subprocess.PIPE, stdin=subprocess.PIPE, stderr=subprocess.STDOUT)
output, error = command.communicate(input = csr_der)
if error:
p('FAILED\n')
return
p('OK\n')
signature_bytes = output
signature = b64encode(signature_bytes)
def cer_to_pem(cer_data):
# openssl x509 -inform der -in mdm.cer -out mdm.pem
# -in and -out flags are handled by STDIN and STDOUT
args = ['openssl', 'x509', '-inform', 'der' ]
command = subprocess.Popen(args, stdout=subprocess.PIPE, stdin=subprocess.PIPE, stderr=subprocess.STDOUT)
output, error = command.communicate(input = cer_data)
if error:
p('Error converting from cer to pem: %s' % error)
return output
# TODO : Probably should verify these too
p('Downloading WWDR intermediate certificate...')
intermediate_cer = urllib2.urlopen('https://developer.apple.com/certificationauthority/AppleWWDRCA.cer').read()
p(' converting to pem...')
intermediate_pem = cer_to_pem(intermediate_cer)
p('OK\n')
p('Downloading Apple Root Certificate...')
root_cer = urllib2.urlopen('http://www.apple.com/appleca/AppleIncRootCertificate.cer').read()
p(' converting to pem...')
root_pem = cer_to_pem(root_cer)
p('OK\n')
mdm_pem = cer_to_pem(mdm_cert_file)
p('Finishing...')
plist_dict = dict(
PushCertRequestCSR = csr_b64,
PushCertCertificateChain = mdm_pem + intermediate_pem + root_pem,
PushCertSignature = signature
)
plist_xml = writePlistToString(plist_dict)
plist_b64 = b64encode(plist_xml)
output_filename = cli_args['out'] if cli_args['out'] else 'plist_encoded'
write_path = os.path.join(os.getcwd(), output_filename)
output = open(write_path, 'wb')
output.write(plist_b64)
output.close()
p('DONE\n\nGo upload file \'%s\' to identity.apple.com/pushcert !\n' % output_filename)
if __name__=="__main__":
mdm_vendor_sign()
| mit | Python |
|
2347ee253f04fa87b28206b0ec00fd2a3fffb49f | Create hello_market_maker.py | MKTSTK/Runover | hello_market_maker.py | hello_market_maker.py | class hello_market_maker():
def __init__(self, anchor_price, tick_increment, max_pos):
self.anchor_price = anchor_price
self.tick_increment = tick_increment
self.position = 0
self.upper_bound = anchor_price + ((max_pos + 1) * tick_increment)
self.lower_bound = anchor_price - ((max_pos + 1) * tick_increment)
self.max_pos = max_pos
self.mkt = inside_market(anchor_price - tick_increment, anchor_price + tick_increment)
def on_bid_fill(self):
# modify current bid and ask down 1 tick_increment
#self.mkt.shift(-self.tick_increment)
self.position += 1
price = self.mkt.bid.price
if self.position < self.max_pos:
self.mkt.shift(-self.tick_increment)
else:
self.mkt.exit(BID, self.tick_increment)
return "BID_FILL @ ", price
def on_ask_fill(self):
# modify current bid and ask up 1 tick_increment
#self.mkt.shift(-self.tick_increment)
self.position -= 1
price = self.mkt.ask.price
if self.position > -self.max_pos:
self.mkt.shift(self.tick_increment)
else:
self.mkt.exit(ASK, self.tick_increment)
return "ASK_FILL @ ", price
def evaluate(self, trade_price):
fill, price = self.mkt.evaluate(trade_price)
self.adjust_bounds(trade_price)
if fill == BID:
self.on_bid_fill()
elif fill == ASK:
self.on_ask_fill()
else:
filler = 0
return fill, price
def adjust_bounds(self, trade_price):
if trade_price > self.upper_bound:
self.mkt.shift(self.tick_increment)
self.upper_bound += self.tick_increment
self.lower_bound += self.tick_increment
print "ADJUSTING UP"
elif trade_price < self.lower_bound:
self.mkt.shift(-self.tick_increment)
self.upper_bound -= self.tick_increment
self.lower_bound -= self.tick_increment
print "ADJUSTING DOWN"
| bsd-3-clause | Python |
|
819a47ce69164aa48f3b68e9ab997f6ee90e2292 | Add a index stats tool | andyfoundi/mongodb-tools,safanaj/mongodb-tools,jwilder/mongodb-tools,safanaj/mongodb-tools,jwilder/mongodb-tools,andyfoundi/mongodb-tools,yaowenqiang/mongodb-tools,yaowenqiang/mongodb-tools,svdata/mongodb-tools,svdata/mongodb-tools | index-stats.py | index-stats.py | """
This script prints some basic collection stats about the size of the
collections and their indexes.
"""
from prettytable import PrettyTable
import psutil
from pymongo import Connection
from pymongo import ReadPreference
connection = Connection(read_preference=ReadPreference.SECONDARY)
def compute_signature(index):
signature = index["ns"]
for key in index["key"]:
signature += "%s_%s" % (key, index["key"][key])
return signature
def get_collection_stats(database, collection):
print "Checking DB: %s" % collection.full_name
return database.command("collstats", collection.name)
# From http://www.5dollarwhitebox.org/drupal/node/84
def convert_bytes(bytes):
bytes = float(bytes)
if bytes >= 1099511627776:
terabytes = bytes / 1099511627776
size = '%.2fT' % terabytes
elif bytes >= 1073741824:
gigabytes = bytes / 1073741824
size = '%.2fG' % gigabytes
elif bytes >= 1048576:
megabytes = bytes / 1048576
size = '%.2fM' % megabytes
elif bytes >= 1024:
kilobytes = bytes / 1024
size = '%.2fK' % kilobytes
else:
size = '%.2fb' % bytes
return size
summary_stats = {
"count" : 0,
"size" : 0,
"indexSize" : 0
}
all_stats = []
all_db_stats = {}
for db in connection.database_names():
# FIXME: Add an option to include oplog stats.
if db == "local":
continue
database = connection[db]
all_db_stats[database.name] = []
for collection_name in database.collection_names():
stats = get_collection_stats(database, database[collection_name])
all_stats.append(stats)
all_db_stats[database.name].append(stats)
summary_stats["count"] += stats["count"]
summary_stats["size"] += stats["size"]
summary_stats["indexSize"] += stats.get("totalIndexSize", 0)
x = PrettyTable(["Collection", "Index","% Size", "Index Size"])
x.set_field_align("Collection", "l")
x.set_field_align("Index", "l")
x.set_field_align("% Size", "r")
x.set_field_align("Index Size", "r")
x.set_padding_width(1)
print
index_size_mapping = {}
for db in all_db_stats:
db_stats = all_db_stats[db]
count = 0
for stat in db_stats:
count += stat["count"]
for index in stat["indexSizes"]:
index_size = stat["indexSizes"].get(index, 0)
row = [stat["ns"], index,
"%0.1f%%" % ((index_size / float(stat["totalIndexSize"])) * 100),
convert_bytes(index_size)]
index_size_mapping[index_size] = row
x.add_row(row)
print "Index Overview"
x.printt(sortby="Collection")
print
print "Top 5 Largest Indexes"
x = PrettyTable(["Collection", "Index","% Size", "Index Size"])
x.set_field_align("Collection", "l")
x.set_field_align("Index", "l")
x.set_field_align("% Size", "r")
x.set_field_align("Index Size", "r")
x.set_padding_width(1)
top_five_indexes = sorted(index_size_mapping.keys(), reverse=True)[0:5]
for size in top_five_indexes:
x.add_row(index_size_mapping.get(size))
x.printt()
print
print "Total Documents:", summary_stats["count"]
print "Total Data Size:", convert_bytes(summary_stats["size"])
print "Total Index Size:", convert_bytes(summary_stats["indexSize"])
ram_headroom = psutil.phymem_usage()[0] - summary_stats["indexSize"]
print "RAM Headroom:", convert_bytes(ram_headroom)
print "RAM Used: %s (%s%%)" % (convert_bytes(psutil.phymem_usage()[1]), psutil.phymem_usage()[3])
print "Available RAM Headroom:", convert_bytes((100 - psutil.phymem_usage()[3]) / 100 * ram_headroom)
| mit | Python |
|
372f4a988411e48a0c50cdc74fb2a7f4e5abf052 | Add a server identity test | Kitware/tangelo,Kitware/tangelo,Kitware/tangelo | tests/server-identity.py | tests/server-identity.py | import nose
import requests
import fixture
@nose.with_setup(fixture.start_tangelo, fixture.stop_tangelo)
def test_server_identity():
response = requests.get(fixture.url("/"))
assert response.headers["server"] == "Tangelo"
| apache-2.0 | Python |
|
19db4647257617992e9b195828baf39907cc5db1 | Add tests for exit codes | amperser/proselint,amperser/proselint,amperser/proselint,amperser/proselint,amperser/proselint | tests/test_exit_codes.py | tests/test_exit_codes.py | """Check that the CLI returns the appropriate exit code."""
import subprocess
def test_exit_code_demo():
"""Ensure that linting the demo returns an exit code of 1."""
try:
subprocess.check_output("proselint --demo", shell=True)
except subprocess.CalledProcessError as grepexc:
assert(grepexc.returncode == 1)
def test_exit_code_version():
"""Ensure that getting the version returns an exit code of 0."""
try:
subprocess.check_output("proselint --version", shell=True)
except subprocess.CalledProcessError:
assert(False)
| bsd-3-clause | Python |
|
787298889fd85dffb597dee6571dead42227c7d6 | add test to validate generated stub constants.pyi | mehcode/python-xmlsec,mehcode/python-xmlsec | tests/test_type_stubs.py | tests/test_type_stubs.py | """Test type stubs for correctness where possible."""
import os
import sys
import pytest
import xmlsec
black = pytest.importorskip('black')
if sys.version_info >= (3, 4):
from pathlib import Path
else:
from _pytest.pathlib import Path
constants_stub_header = """
import sys
from typing import NamedTuple
if sys.version_info >= (3, 8):
from typing import Final, Literal
else:
from typing_extensions import Final, Literal
class __KeyData(NamedTuple): # __KeyData type
href: str
name: str
class __Transform(NamedTuple): # __Transform type
href: str
name: str
usage: int
"""
def gen_constants_stub():
"""
Generate contents of the file:`xmlsec/constants.pyi`.
Simply load all constants at runtime,
generate appropriate type hint for each constant type.
"""
def process_constant(name):
"""Generate line in stub file for constant name."""
obj = getattr(xmlsec.constants, name)
return '{name}: Final = {obj!r}'.format(name=name, obj=obj)
names = list(sorted(name for name in dir(xmlsec.constants) if not name.startswith('__')))
lines = [process_constant(name) for name in names]
return constants_stub_header + os.linesep.join(lines)
def test_xmlsec_constants_stub(request):
"""
Generate the stub file for :mod:`xmlsec.constants` from existing code.
Compare it against the existing stub :file:`xmlsec/constants.pyi`.
"""
rootdir = Path(str(request.config.rootdir))
stub = rootdir / 'src' / 'xmlsec' / 'constants.pyi'
mode = black.FileMode(target_versions=[black.TargetVersion.PY38], line_length=130, is_pyi=True, string_normalization=False)
formatted = black.format_file_contents(gen_constants_stub(), fast=False, mode=mode)
assert formatted == stub.read_text()
| mit | Python |
|
f1e35886822a7ff7e7f19ef4f1db90c870e8d45d | Add file for remove nonterminal tests | PatrikValkovic/grammpy | tests/NonterminalRemoveTest.py | tests/NonterminalRemoveTest.py | #!/usr/bin/env python
"""
:Author Patrik Valkovic
:Created 23.06.2017 16:39
:Licence GNUv3
Part of grammpy
"""
from unittest import TestCase, main
from grammpy import Grammar
from grammpy import Nonterminal
class TempClass(Nonterminal):
pass
class Second(Nonterminal):
pass
class Third(Nonterminal):
pass
class NonterminalRemoveTest(TestCase):
def test_removeOne(self):
gr = Grammar()
gr.add_term([0, 'asdf', TempClass])
self.assertEqual(gr.terms_count(), 3)
gr.remove_term(0)
self.assertEqual(gr.terms_count(), 2)
self.assertTrue(gr.have_term('asdf'))
self.assertTrue(gr.have_term(TempClass))
self.assertFalse(gr.have_term(0))
def test_removeClass(self):
gr = Grammar()
gr.add_term([0, 'asdf', TempClass])
self.assertEqual(gr.terms_count(), 3)
gr.remove_term(TempClass)
self.assertEqual(gr.terms_count(), 2)
self.assertTrue(gr.have_term('asdf'))
self.assertTrue(gr.have_term(0))
self.assertFalse(gr.have_term(TempClass))
def test_removeTwo(self):
gr = Grammar()
gr.add_term([0, 'asdf', TempClass])
self.assertEqual(gr.terms_count(), 3)
gr.remove_term(0)
gr.remove_term('asdf')
self.assertEqual(gr.terms_count(), 1)
self.assertTrue(gr.have_term(TempClass))
self.assertFalse(gr.have_term('asdf'))
self.assertFalse(gr.have_term(0))
def test_removeTwoInArray(self):
gr = Grammar()
gr.add_term([0, 'asdf', TempClass])
self.assertEqual(gr.terms_count(), 3)
gr.remove_term([0, 'asdf'])
self.assertEqual(gr.terms_count(), 1)
self.assertTrue(gr.have_term(TempClass))
self.assertFalse(gr.have_term('asdf'))
self.assertFalse(gr.have_term(0))
def test_removeTwoInTuple(self):
gr = Grammar()
gr.add_term([0, 'asdf', TempClass])
self.assertEqual(gr.terms_count(), 3)
gr.remove_term((0, 'asdf'))
self.assertEqual(gr.terms_count(), 1)
self.assertTrue(gr.have_term(TempClass))
self.assertFalse(gr.have_term('asdf'))
self.assertFalse(gr.have_term(0))
def test_removeAllWithoutParam(self):
gr = Grammar()
gr.add_term([0, 'asdf', TempClass])
self.assertEqual(gr.terms_count(), 3)
gr.remove_term()
self.assertEqual(gr.terms_count(), 0)
self.assertFalse(gr.have_term(TempClass))
self.assertFalse(gr.have_term('asdf'))
self.assertFalse(gr.have_term(0))
def test_removeEmptyGrammar(self):
gr = Grammar()
self.assertEqual(gr.terms_count(), 0)
gr.remove_term()
self.assertEqual(gr.terms_count(), 0)
if __name__ == '__main__':
main()
| mit | Python |
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