xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

5b60c2073338e8261d845aeff4ff120ded2d4d2b

107

py

Python

twitter_nlp_toolkit/twitter-nlp-toolkit.py

Moe520/twitter-toolbox

5e4b7881923394392619a5ced22857772cccb08b

[ "MIT" ]

25

2020-04-15T00:52:24.000Z

2021-08-23T14:53:28.000Z

twitter_nlp_toolkit/twitter-nlp-toolkit.py

Moe520/twitter-toolbox

5e4b7881923394392619a5ced22857772cccb08b

[ "MIT" ]

3

2020-04-26T22:09:09.000Z

2022-03-26T21:20:32.000Z

twitter_nlp_toolkit/twitter-nlp-toolkit.py

Moe520/twitter-toolbox

5e4b7881923394392619a5ced22857772cccb08b

[ "MIT" ]

3

2020-07-10T20:20:12.000Z

2021-07-26T12:04:27.000Z

class twitter_nlp_toolkit: def __init__(self): print("twitter_nlp_toolkit initialized")

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null

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1

0

6

5b8c97551e188eef494a74b02d0bdeb7ea77507f

90

py

Python

curso-py-coder/tipos/basicos.py

JoaoMvchvdo22/Python

4578f0d38c5f9849821a8999fb96f70a124a785a

[ "MIT" ]

null

curso-py-coder/tipos/basicos.py

JoaoMvchvdo22/Python

4578f0d38c5f9849821a8999fb96f70a124a785a

[ "MIT" ]

null

curso-py-coder/tipos/basicos.py

JoaoMvchvdo22/Python

4578f0d38c5f9849821a8999fb96f70a124a785a

[ "MIT" ]

null

print(type(1)) print(type(1.1)) print(type('texto')) print(type(False)) print(type(True))

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90

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1

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6

5bb78f71032af6db965c86b2c448c49cc222924b

46

py

Python

B3LOB/__init__.py

efbrasil/B3LOB

228962f66f8b3118c1a6aac703960c7c21ace097

[ "MIT" ]

null

B3LOB/__init__.py

efbrasil/B3LOB

228962f66f8b3118c1a6aac703960c7c21ace097

[ "MIT" ]

null

B3LOB/__init__.py

efbrasil/B3LOB

228962f66f8b3118c1a6aac703960c7c21ace097

[ "MIT" ]

null

from .lob import Lob from .types import Order

15.333333

24

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4.5

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0.173913

46

2

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null

0

1

0

1

0

1

0

6

5bc825b838bc5587ec1bd5538e391a15106f38fd

40

py

Python

passenger_wsgi.py

divyesh1099/badboystyle

f4fec0858b43e14f0e1f173261f363d4262c28ea

[ "MIT" ]

null

passenger_wsgi.py

divyesh1099/badboystyle

f4fec0858b43e14f0e1f173261f363d4262c28ea

[ "MIT" ]

null

passenger_wsgi.py

divyesh1099/badboystyle

f4fec0858b43e14f0e1f173261f363d4262c28ea

[ "MIT" ]

null

from badboystyle.wsgi import application

40

0.9

5

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7.2

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0.075

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1

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0.972973

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0

true

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null

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1

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1

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6

5bf1ca819b42ca2e1c33074a014fada3d11925e1

83

py

Python

desktop/core/ext-py/nose-1.3.7/unit_tests/test_issue_064.py

kokosing/hue

2307f5379a35aae9be871e836432e6f45138b3d9

[ "Apache-2.0" ]

5,079

2015-01-01T03:39:46.000Z

2022-03-31T07:38:22.000Z

desktop/core/ext-py/nose-1.3.7/unit_tests/test_issue_064.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

1,623

2015-01-01T08:06:24.000Z

2022-03-30T19:48:52.000Z

desktop/core/ext-py/nose-1.3.7/unit_tests/test_issue_064.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

2,033

2015-01-04T07:18:02.000Z

2022-03-28T19:55:47.000Z

def test_is_generator_alias(): from nose.util import is_generator, isgenerator

27.666667

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0.13253

83

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0.5

true

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0

null

0

1

0

1

0

6

f3ad4512465eb8a584f437af83d8ebca59cfc603

250

py

Python

Cometarios.py

FreyderUrbano/Python_Programas

8a11729d1148c319d8fa145ad18038cc7d63f0d9

[ "MIT" ]

null

Cometarios.py

FreyderUrbano/Python_Programas

8a11729d1148c319d8fa145ad18038cc7d63f0d9

[ "MIT" ]

null

Cometarios.py

FreyderUrbano/Python_Programas

8a11729d1148c319d8fa145ad18038cc7d63f0d9

[ "MIT" ]

null

#TODOS LOS METODOS QUE EXISTEN PARA HACER COMENTARIOS EN PYTHON #ESTE ES UN EJEMPLO DE COMENTARIO print('COMETARIOS EN EL CODIGO') "ESTE ES OTRO EJEMPLO DE COMO HACER COMENTARIOS" '''HOLA ESTO ES EJEMPLO DE COMO HACER COMENTARIOS MULTILINEA '''

17.857143

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250

5.078947

0.657895

0.248705

0.134715

0.186529

0.300518

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0.172

250

13

64

19.230769

0.932367

0.376

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0.784091

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true

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null

0

1

0

1

0

1

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6

f3bed3680391e83a7846bea24627fbeae018f29f

27

py

Python

deeploy/middlewares/__init__.py

ukor/deeploy

eb83ecffe671db19deccdb8d02204b208c87bb61

[ "MIT" ]

null

deeploy/middlewares/__init__.py

ukor/deeploy

eb83ecffe671db19deccdb8d02204b208c87bb61

[ "MIT" ]

12

2019-07-29T03:38:10.000Z

2019-08-16T03:08:14.000Z

deeploy/middlewares/__init__.py

ukor/deeploy

eb83ecffe671db19deccdb8d02204b208c87bb61

[ "MIT" ]

1

2021-02-12T14:17:28.000Z

from .json_parser import *

13.5

26

0.777778

4

27

5

1

0

0.148148

27

1

27

0.869565

0

1

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true

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null

0

1

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1

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1

0

6

f3caec0a86a6f632435fc3426455e434f84899ae

31,072

py

Python

Excel/ictc_report_section_i_report.py

2amitprakash/Python_Codes

c7e915c0da87fb7438777be5945f81d4126fea42

[ "MIT" ]

null

Excel/ictc_report_section_i_report.py

2amitprakash/Python_Codes

c7e915c0da87fb7438777be5945f81d4126fea42

[ "MIT" ]

null

Excel/ictc_report_section_i_report.py

2amitprakash/Python_Codes

c7e915c0da87fb7438777be5945f81d4126fea42

[ "MIT" ]

null

from openpyxl import Workbook from openpyxl import load_workbook import datetime import common.connect_soch as conn import pandas as pd def fetch_data(): sql = 'Select \ table3."Received_Month", \ table3."Received_Year",\ SUM(table3."Number_of_individuals_received_pre-test_counseling/information")"Number_of_individuals_received_pre-test_counseling/information",\ SUM(table3."Number_of_individuals_receiving_post-test_counseling_and_given_results")"Number_of_individuals_receiving_post-test_counseling_and_given_results",\ SUM(table3."Number_of_individuals_with_High_Risk_Behavior_received_follow-up_counseling")"Number_of_individuals_with_High_Risk_Behavior_received_follow-up_counseling",\ SUM(table3."Number_of_individuals_tested_for_HIV")"Number_of_individuals_tested_for_HIV",\ SUM(table3."Number_of_individuals_received_result_within_7_days_of_HIV_Test")"Number_of_individuals_received_result_within_7_days_of_HIV_Test",\ SUM(table3."Number_of_HIV_positive_individuals_having_HIV-I_infection")"Number_of_HIV_positive_individuals_having_HIV-I_infection",\ SUM(table3."Number_of_HIV_positive_individuals_having_HIV-II_infection")"Number_of_HIV_positive_individuals_having_HIV-II_infection",\ SUM(table3."Number_of_HIV_positive_individuals_having_both_HIV-I_&_II_infections")"Number_of_HIV_positive_individuals_having_both_HIV-I_&_II_infections",\ SUM(table3."Number_of_individuals_tested_for_HIV_and_found_Negative")"Number_of_individuals_tested_for_HIV_and_found_Negative",\ SUM(table3."Number_of_Self-initiated_Individuals_tested_for_HIV")"Number_of_Self-initiated_Individuals_tested_for_HIV",\ SUM(table3."Number_of_Self-initiated_individuals_diagnosed_HIV_positive")"Number_of_Self-initiated_individuals_diagnosed_HIV_positive",\ SUM(table3."Number_of_provider_initiated_Individuals_tested_for_HIV")"Number_of_provider_initiated_Individuals_tested_for_HIV",\ SUM(table3."Number_of_provider_initiated_individuals_diagnosed_HIV_positive")"Number_of_provider_initiated_individuals_diagnosed_HIV_positive",\ SUM(table3."Total_number_of_individuals_turned_Indeterminate_for_HIV_at_SA_ICTC")"Total_number_of_individuals_turned_Indeterminate_for_HIV_at_SA_ICTC" \ from( \ select \ table2."SACS_ID" ,\ table2."SACS",\ table2."Received_Month",\ table2."Received_Year",\ SUM(table2."Number_of_individuals_received_pre-test_counseling/information")"Number_of_individuals_received_pre-test_counseling/information",\ SUM(table2."Number_of_individuals_receiving_post-test_counseling_and_given_results")"Number_of_individuals_receiving_post-test_counseling_and_given_results",\ SUM(table2."Number_of_individuals_with_High_Risk_Behavior_received_follow-up_counseling")"Number_of_individuals_with_High_Risk_Behavior_received_follow-up_counseling",\ SUM(table2."Number_of_individuals_tested_for_HIV")"Number_of_individuals_tested_for_HIV",\ SUM(table2."Number_of_individuals_received_result_within_7_days_of_HIV_Test")"Number_of_individuals_received_result_within_7_days_of_HIV_Test",\ SUM(table2."Number_of_HIV_positive_individuals_having_HIV-I_infection")"Number_of_HIV_positive_individuals_having_HIV-I_infection",\ SUM(table2."Number_of_HIV_positive_individuals_having_HIV-II_infection")"Number_of_HIV_positive_individuals_having_HIV-II_infection",\ SUM(table2."Number_of_HIV_positive_individuals_having_both_HIV-I_&_II_infections")"Number_of_HIV_positive_individuals_having_both_HIV-I_&_II_infections",\ SUM(table2."Number_of_individuals_tested_for_HIV_and_found_Negative")"Number_of_individuals_tested_for_HIV_and_found_Negative",\ SUM(table2."Number_of_Self-initiated_Individuals_tested_for_HIV")"Number_of_Self-initiated_Individuals_tested_for_HIV",\ SUM(table2."Number_of_Self-initiated_individuals_diagnosed_HIV_positive")"Number_of_Self-initiated_individuals_diagnosed_HIV_positive",\ SUM(table2."Number_of_provider_initiated_Individuals_tested_for_HIV")"Number_of_provider_initiated_Individuals_tested_for_HIV",\ SUM(table2."Number_of_provider_initiated_individuals_diagnosed_HIV_positive")"Number_of_provider_initiated_individuals_diagnosed_HIV_positive",\ SUM(table2."Total_number_of_individuals_turned_Indeterminate_for_HIV_at_SA_ICTC")"Total_number_of_individuals_turned_Indeterminate_for_HIV_at_SA_ICTC"\ \ from\ (\ Select \ T2.ID,\ T2."SACS",\ T2."ICTC_center",\ T2."SACS_ID", \ CASE WHEN T2."Received_Month" = 1 THEN '"'January'"' \ WHEN T2."Received_Month" = 2 THEN '"'February'"' \ WHEN T2."Received_Month" = 3 THEN '"'March'"' \ WHEN T2."Received_Month" = 4 THEN '"'April'"' \ WHEN T2."Received_Month" = 5 THEN '"'May'"' \ WHEN T2."Received_Month" = 6 THEN '"'June'"' \ WHEN T2."Received_Month" = 7 THEN '"'July'"' \ WHEN T2."Received_Month" = 8 THEN '"'August'"' \ WHEN T2."Received_Month" = 9 THEN '"'September'"' \ WHEN T2."Received_Month" = 10 THEN '"'October'"' \ WHEN T2."Received_Month" = 11 THEN '"'November'"' \ WHEN T2."Received_Month" = 12 THEN '"'December'"' \ END as "Received_Month",\ T2."Received_Year",\ SUM(T2."Number_of_individuals_received_pre-test_counseling/information")"Number_of_individuals_received_pre-test_counseling/information",\ SUM(T2."Number_of_individuals_receiving_post-test_counseling_and_given_results")"Number_of_individuals_receiving_post-test_counseling_and_given_results",\ SUM(T2."Number_of_individuals_with_High_Risk_Behavior_received_follow-up_counseling")"Number_of_individuals_with_High_Risk_Behavior_received_follow-up_counseling",\ SUM(T3."Number_of_individuals_tested_for_HIV")"Number_of_individuals_tested_for_HIV",\ SUM(T4."Number_of_individuals_received_result_within_7_days_of_HIV_Test")"Number_of_individuals_received_result_within_7_days_of_HIV_Test",\ SUM(T5."Number_of_HIV_positive_individuals_having_HIV-I_infection")"Number_of_HIV_positive_individuals_having_HIV-I_infection",\ SUM(T5."Number_of_HIV_positive_individuals_having_HIV-II_infection")"Number_of_HIV_positive_individuals_having_HIV-II_infection",\ SUM(T5."Number_of_HIV_positive_individuals_having_both_HIV-I_&_II_infections")"Number_of_HIV_positive_individuals_having_both_HIV-I_&_II_infections",\ SUM(T6."Number_of_individuals_tested_for_HIV_and_found_Negative")"Number_of_individuals_tested_for_HIV_and_found_Negative",\ SUM(T7."Number_of_Self-initiated_Individuals_tested_for_HIV")"Number_of_Self-initiated_Individuals_tested_for_HIV",\ SUM(T8."Number_of_Self-initiated_individuals_diagnosed_HIV_positive")"Number_of_Self-initiated_individuals_diagnosed_HIV_positive",\ SUM(T9."Number_of_provider_initiated_Individuals_tested_for_HIV")"Number_of_provider_initiated_Individuals_tested_for_HIV",\ SUM(T10."Number_of_provider_initiated_individuals_diagnosed_HIV_positive")"Number_of_provider_initiated_individuals_diagnosed_HIV_positive",\ SUM(T11."Total_number_of_individuals_turned_Indeterminate_for_HIV_at_SA_ICTC")"Total_number_of_individuals_turned_Indeterminate_for_HIV_at_SA_ICTC"\ from(\ select \ f.ID, \ f_sacs.name as "SACS",\ f.name as "ICTC_center",\ f_sacs.id as "SACS_ID",\ case When iv.BENEFICIARY_STATUS=1 Then \ (cast(count(iben.BENEFICIARY_ID)as numeric)) Else 0 End as "Number_of_individuals_received_pre-test_counseling/information",\ case When iv.BENEFICIARY_STATUS=4 Then \ (cast(count(iben.BENEFICIARY_ID)as numeric)) Else 0 End as "Number_of_individuals_receiving_post-test_counseling_and_given_results",\ case When iv.BENEFICIARY_STATUS=5 Then \ (cast(count(iben.BENEFICIARY_ID)as numeric)) Else 0 End as "Number_of_individuals_with_High_Risk_Behavior_received_follow-up_counseling",\ \ extract(month from iben.registration_date) as "Received_Month",\ extract(year from iben.registration_date) as "Received_Year"\ FROM ICTC_BENEFICIARY as iben \ JOIN BENEFICIARY as b on (iben.BENEFICIARY_ID = b.ID)\ JOIN ICTC_SAMPLE_COLLECTION as isc on (iben.ID = isc.ICTC_BENEFICIARY_ID)\ JOIN FACILITY as f on (iben.FACILITY_ID = f.ID)\ JOIN FACILITY as f_sacs on (f_sacs.id=f.sacs_id)\ JOIN ICTC_VISIT as iv on (isc.VISIT_ID = iv.ID)\ JOIN FACILITY_TYPE as ft on (f.FACILITY_TYPE_ID = ft.ID)\ JOIN ICTC_TEST_RESULT as itr on (iv.ID = itr.VISIT_ID)\ where f.facility_type_id in (11,13) and f_sacs.facility_type_id in (2) and \ iv.BENEFICIARY_STATUS in (1,4,5)\ and iv.IS_PREGNANT = '"'true'"'\ and b.gender in ('"'female'"')\ and iben.is_active = '"'true'"'\ and b.is_active = '"'true'"' \ and isc.is_active = '"'true'"' \ and f.is_active = '"'true'"' \ and f_sacs.is_active = '"'true'"' \ and iv.is_active = '"'true'"' \ and itr.is_active = '"'true'"' \ and ft.is_active = '"'true'"' \ group by\ f.id, b.gender,f_sacs.name,f_sacs.id,\ f.name,iv.BENEFICIARY_STATUS,\ extract(month from iben.registration_date),\ extract(year from iben.registration_date))T2\ \ full outer join(\ select \ f.ID, \ f_sacs.name as "SACS",\ f.name as "ICTC_center",\ f_sacs.id as "SACS_ID",\ cast(count(iben.BENEFICIARY_ID)as numeric) as "Number_of_individuals_tested_for_HIV",\ extract(month from iben.registration_date) as "Received_Month",\ extract(year from iben.registration_date) as "Received_Year"\ FROM ICTC_BENEFICIARY as iben \ JOIN BENEFICIARY as b on (iben.BENEFICIARY_ID = b.ID)\ JOIN ICTC_SAMPLE_COLLECTION as isc on (iben.ID = isc.ICTC_BENEFICIARY_ID)\ JOIN FACILITY as f on (iben.FACILITY_ID = f.ID)\ JOIN FACILITY as f_sacs on (f_sacs.id=f.sacs_id)\ JOIN ICTC_VISIT as iv on (isc.VISIT_ID = iv.ID)\ JOIN FACILITY_TYPE as ft on (f.FACILITY_TYPE_ID = ft.ID)\ JOIN ICTC_TEST_RESULT as itr on (iv.ID = itr.VISIT_ID)\ where f.facility_type_id in (11,13) and f_sacs.facility_type_id in (2) and itr.tested_date is not null\ and iv.IS_PREGNANT = '"'true'"'\ and b.gender in ('"'female'"')\ and iben.is_active = '"'true'"'\ and b.is_active = '"'true'"' \ and isc.is_active = '"'true'"'\ and f.is_active = '"'true'"'\ and f_sacs.is_active = '"'true'"'\ and iv.is_active = '"'true'"' \ and itr.is_active = '"'true'"'\ and ft.is_active = '"'true'"'\ group by\ f.id,\ b.gender,f_sacs.name,f_sacs.id,\ f.name,iv.BENEFICIARY_STATUS,\ extract(month from iben.registration_date),\ extract(year from iben.registration_date))T3 on (T2.ID=T3.ID and T2."SACS_ID"=T3."SACS_ID" and T2."Received_Month"=T3."Received_Month" and T2."Received_Year"=T3."Received_Year")\ full outer join \ (select \ f.ID, \ f_sacs.name as "SACS",\ f.name as "ICTC_center",\ f_sacs.id as "SACS_ID",\ cast(count(iben.BENEFICIARY_ID)as numeric)as "Number_of_individuals_received_result_within_7_days_of_HIV_Test",\ extract(month from iben.registration_date) as "Received_Month",\ extract(year from iben.registration_date) as "Received_Year"\ FROM ICTC_BENEFICIARY as iben \ JOIN BENEFICIARY as b on (iben.BENEFICIARY_ID = b.ID)\ JOIN ICTC_SAMPLE_COLLECTION as isc on (iben.ID = isc.ICTC_BENEFICIARY_ID)\ JOIN FACILITY as f on (iben.FACILITY_ID = f.ID)\ JOIN FACILITY as f_sacs on (f_sacs.id=f.sacs_id)\ JOIN ICTC_VISIT as iv on (isc.VISIT_ID = iv.ID)\ JOIN FACILITY_TYPE as ft on (f.FACILITY_TYPE_ID = ft.ID)\ JOIN ICTC_TEST_RESULT as itr on (iv.ID = itr.VISIT_ID)\ where f.facility_type_id in (11,13) and f_sacs.facility_type_id in (2) and itr.tested_date is not null\ and iv.IS_PREGNANT = '"'true'"'\ and b.gender in ('"'female'"')\ and cast((cast(isc.sample_collection_date AS DATE) - cast(itr.report_received_date AS DATE))day as numeric) <=7\ and iben.is_active = '"'true'"'\ and b.is_active = '"'true'"' \ and isc.is_active = '"'true'"'\ and f.is_active = '"'true'"'\ and f_sacs.is_active = '"'true'"'\ and iv.is_active = '"'true'"' \ and itr.is_active = '"'true'"'\ and ft.is_active = '"'true'"'\ group by\ f.id,b.gender,\ f.name,iv.BENEFICIARY_STATUS,f_sacs.name,f_sacs.id,\ extract(month from iben.registration_date),\ extract(year from iben.registration_date),isc.sample_collection_date,\ itr.report_received_date\ )T4 on (T2.ID=T4.ID and T2."SACS_ID"=T4."SACS_ID" and T2."Received_Month"=T4."Received_Month" and T2."Received_Year"=T4."Received_Year")\ \ full outer join (\ select \ f.ID, \ f_sacs.name as "SACS",\ f.name as "ICTC_center",\ f_sacs.id as "SACS_ID",\ \ Case When itr.hiv_type=1 then (cast(count(iben.BENEFICIARY_ID)as numeric))Else 0 End as "Number_of_HIV_positive_individuals_having_HIV-I_infection",\ Case When itr.hiv_type=2 then (cast(count(iben.BENEFICIARY_ID)as numeric))Else 0 End as "Number_of_HIV_positive_individuals_having_HIV-II_infection",\ Case When itr.hiv_type=3 then (cast(count(iben.BENEFICIARY_ID)as numeric))Else 0 End as "Number_of_HIV_positive_individuals_having_both_HIV-I_&_II_infections",\ \ extract(month from iben.registration_date) as "Received_Month",\ extract(year from iben.registration_date) as "Received_Year"\ FROM ICTC_BENEFICIARY as iben \ JOIN BENEFICIARY as b on (iben.BENEFICIARY_ID = b.ID)\ JOIN ICTC_SAMPLE_COLLECTION as isc on (iben.ID = isc.ICTC_BENEFICIARY_ID)\ JOIN FACILITY as f on (iben.FACILITY_ID = f.ID)\ JOIN FACILITY as f_sacs on (f_sacs.id=f.sacs_id)\ JOIN ICTC_VISIT as iv on (isc.VISIT_ID = iv.ID)\ JOIN FACILITY_TYPE as ft on (f.FACILITY_TYPE_ID = ft.ID)\ JOIN ICTC_TEST_RESULT as itr on (iv.ID = itr.VISIT_ID)\ where f.facility_type_id in (11,13) and f_sacs.facility_type_id in (2) and itr.hiv_type in (1,2,3)\ and iv.IS_PREGNANT = '"'true'"'\ and b.gender in ('"'female'"')\ and iben.is_active = '"'true'"'\ and b.is_active = '"'true'"' \ and isc.is_active = '"'true'"'\ and f.is_active = '"'true'"'\ and f_sacs.is_active = '"'true'"'\ and iv.is_active = '"'true'"' \ and itr.is_active = '"'true'"'\ and ft.is_active = '"'true'"'\ group by \ f.id,b.gender,f_sacs.name,f_sacs.id,\ f.name,iv.BENEFICIARY_STATUS,\ extract(month from iben.registration_date),\ extract(year from iben.registration_date),itr.hiv_type)T5 on (T2.ID=T5.ID and T2."SACS_ID"=T5."SACS_ID" and T2."Received_Month"=T5."Received_Month" and T2."Received_Year"=T5."Received_Year")\ \ full outer join \ (select \ f.ID, \ f_sacs.name as "SACS",\ f.name as "ICTC_center",\ f_sacs.id as "SACS_ID",\ Case When itr.hiv_status=1 then (cast(count(iben.BENEFICIARY_ID)as numeric))Else 0 End as "Number_of_individuals_tested_for_HIV_and_found_Negative",\ extract(month from iben.registration_date) as "Received_Month",\ extract(year from iben.registration_date) as "Received_Year"\ FROM ICTC_BENEFICIARY as iben \ JOIN BENEFICIARY as b on (iben.BENEFICIARY_ID = b.ID)\ JOIN ICTC_SAMPLE_COLLECTION as isc on (iben.ID = isc.ICTC_BENEFICIARY_ID)\ JOIN FACILITY as f on (iben.FACILITY_ID = f.ID)\ JOIN FACILITY as f_sacs on (f_sacs.id=f.sacs_id)\ JOIN ICTC_VISIT as iv on (isc.VISIT_ID = iv.ID)\ JOIN FACILITY_TYPE as ft on (f.FACILITY_TYPE_ID = ft.ID)\ JOIN ICTC_TEST_RESULT as itr on (iv.ID = itr.VISIT_ID)\ where f.facility_type_id in (11,13) and f_sacs.facility_type_id in (2) and itr.hiv_status in (1)\ and iv.IS_PREGNANT = '"'true'"'\ and b.gender in ('"'female'"')\ and iben.is_active = '"'true'"'\ and b.is_active = '"'true'"' \ and isc.is_active = '"'true'"'\ and f.is_active = '"'true'"'\ and f_sacs.is_active = '"'true'"'\ and iv.is_active = '"'true'"' \ and itr.is_active = '"'true'"'\ and ft.is_active = '"'true'"'\ group by\ f.id,itr.hiv_status,b.gender,\ f.name,iv.BENEFICIARY_STATUS,f_sacs.name,f_sacs.id,\ extract(month from iben.registration_date),\ extract(year from iben.registration_date),itr.hiv_type)T6 on (T2.ID=T6.ID and T2."SACS_ID"=T6."SACS_ID" and T2."Received_Month"=T6."Received_Month" and T2."Received_Year"=T6."Received_Year")\ \ full outer join (\ select \ f.ID, \ f_sacs.name as "SACS",\ f.name as "ICTC_center",\ f_sacs.id as "SACS_ID",\ cast(count(iben.BENEFICIARY_ID)as numeric) as "Number_of_Self-initiated_Individuals_tested_for_HIV",\ extract(month from iben.registration_date) as "Received_Month",\ extract(year from iben.registration_date) as "Received_Year"\ FROM ICTC_BENEFICIARY as iben \ JOIN BENEFICIARY as b on (iben.BENEFICIARY_ID = b.ID)\ JOIN ICTC_SAMPLE_COLLECTION as isc on (iben.ID = isc.ICTC_BENEFICIARY_ID)\ JOIN FACILITY as f on (iben.FACILITY_ID = f.ID)\ JOIN FACILITY as f_sacs on (f_sacs.id=f.sacs_id)\ JOIN ICTC_VISIT as iv on (isc.VISIT_ID = iv.ID)\ JOIN FACILITY_TYPE as ft on (f.FACILITY_TYPE_ID = ft.ID)\ JOIN ICTC_TEST_RESULT as itr on (iv.ID = itr.VISIT_ID)\ where f.facility_type_id in (11,13) and f_sacs.facility_type_id in (2) and iben.referred_by is null\ and iv.IS_PREGNANT = '"'true'"'\ and b.gender in ('"'female'"')\ and iben.is_active = '"'true'"'\ and b.is_active = '"'true'"' \ and isc.is_active = '"'true'"'\ and f.is_active = '"'true'"'\ and f_sacs.is_active = '"'true'"'\ and iv.is_active = '"'true'"' \ and itr.is_active = '"'true'"'\ and ft.is_active = '"'true'"' \ group by\ f.id,b.gender,\ f.name,iv.BENEFICIARY_STATUS,f_sacs.name,f_sacs.id,\ extract(month from iben.registration_date),\ extract(year from iben.registration_date),itr.hiv_type)T7 on (T2.ID=T7.ID and T2."SACS_ID"=T7."SACS_ID" and T2."Received_Month"=T7."Received_Month" and T2."Received_Year"=T7."Received_Year")\ \ full outer join (select \ f.ID, \ f_sacs.name as "SACS",\ f.name as "ICTC_center",\ f_sacs.id as "SACS_ID",\ cast(count(iben.BENEFICIARY_ID)as numeric) as "Number_of_Self-initiated_individuals_diagnosed_HIV_positive",\ extract(month from iben.registration_date) as "Received_Month",\ extract(year from iben.registration_date) as "Received_Year"\ FROM ICTC_BENEFICIARY as iben \ JOIN BENEFICIARY as b on (iben.BENEFICIARY_ID = b.ID)\ JOIN ICTC_SAMPLE_COLLECTION as isc on (iben.ID = isc.ICTC_BENEFICIARY_ID)\ JOIN FACILITY as f on (iben.FACILITY_ID = f.ID)\ JOIN FACILITY as f_sacs on (f_sacs.id=f.sacs_id)\ JOIN ICTC_VISIT as iv on (isc.VISIT_ID = iv.ID)\ JOIN FACILITY_TYPE as ft on (f.FACILITY_TYPE_ID = ft.ID)\ JOIN ICTC_TEST_RESULT as itr on (iv.ID = itr.VISIT_ID)\ where f.facility_type_id in (11,13) and f_sacs.facility_type_id in (2) and iben.referred_by is null and itr.hiv_status in (1)\ and iv.IS_PREGNANT = '"'true'"'\ and b.gender in ('"'female'"')\ and iben.is_active = '"'true'"'\ and b.is_active = '"'true'"' \ and isc.is_active = '"'true'"'\ and f.is_active = '"'true'"'\ and f_sacs.is_active = '"'true'"'\ and iv.is_active = '"'true'"' \ and itr.is_active = '"'true'"'\ and ft.is_active = '"'true'"'\ group by\ f.id,b.gender,\ f.name,iv.BENEFICIARY_STATUS,f_sacs.name,f_sacs.id,\ extract(month from iben.registration_date),\ extract(year from iben.registration_date),itr.hiv_type)T8 on (T2.ID=T8.ID and T2."SACS_ID"=T8."SACS_ID" and T2."Received_Month"=T8."Received_Month" and T2."Received_Year"=T8."Received_Year")\ \ full outer join \ (select \ f.ID, \ f_sacs.name as "SACS",\ f.name as "ICTC_center",\ f_sacs.id as "SACS_ID",\ cast(count(iben.BENEFICIARY_ID)as numeric) as "Number_of_provider_initiated_Individuals_tested_for_HIV",\ extract(month from iben.registration_date) as "Received_Month",\ extract(year from iben.registration_date) as "Received_Year"\ FROM ICTC_BENEFICIARY as iben \ JOIN BENEFICIARY as b on (iben.BENEFICIARY_ID = b.ID)\ JOIN ICTC_SAMPLE_COLLECTION as isc on (iben.ID = isc.ICTC_BENEFICIARY_ID)\ JOIN FACILITY as f on (iben.FACILITY_ID = f.ID)\ JOIN FACILITY as f_sacs on (f_sacs.id=f.sacs_id)\ JOIN ICTC_VISIT as iv on (isc.VISIT_ID = iv.ID)\ JOIN FACILITY_TYPE as ft on (f.FACILITY_TYPE_ID = ft.ID)\ JOIN ICTC_TEST_RESULT as itr on (iv.ID = itr.VISIT_ID)\ where f.facility_type_id in (11,13) and f_sacs.facility_type_id in (2) and iben.referred_by is not null\ and iv.IS_PREGNANT = '"'true'"'\ and b.gender in ('"'female'"')\ and iben.is_active = '"'true'"'\ and b.is_active = '"'true'"' \ and isc.is_active = '"'true'"'\ and f.is_active = '"'true'"'\ and f_sacs.is_active = '"'true'"'\ and iv.is_active = '"'true'"' \ and itr.is_active = '"'true'"'\ and ft.is_active = '"'true'"'\ group by\ f.id,b.gender,\ f.name,iv.BENEFICIARY_STATUS,f_sacs.name,f_sacs.id,\ extract(month from iben.registration_date),\ extract(year from iben.registration_date),itr.hiv_type)T9 on (T2.ID=T9.ID and T2."SACS_ID"=T9."SACS_ID" and T2."Received_Month"=T9."Received_Month" and T2."Received_Year"=T9."Received_Year")\ full outer join \ (select \ f.ID, \ f_sacs.name as "SACS",\ f.name as "ICTC_center",\ f_sacs.id as "SACS_ID",\ cast(count(iben.BENEFICIARY_ID)as numeric) as "Number_of_provider_initiated_individuals_diagnosed_HIV_positive",\ extract(month from iben.registration_date) as "Received_Month",\ extract(year from iben.registration_date) as "Received_Year"\ FROM ICTC_BENEFICIARY as iben \ JOIN BENEFICIARY as b on (iben.BENEFICIARY_ID = b.ID)\ JOIN ICTC_SAMPLE_COLLECTION as isc on (iben.ID = isc.ICTC_BENEFICIARY_ID)\ JOIN FACILITY as f on (iben.FACILITY_ID = f.ID)\ JOIN FACILITY as f_sacs on (f_sacs.id=f.sacs_id)\ JOIN ICTC_VISIT as iv on (isc.VISIT_ID = iv.ID)\ JOIN FACILITY_TYPE as ft on (f.FACILITY_TYPE_ID = ft.ID)\ JOIN ICTC_TEST_RESULT as itr on (iv.ID = itr.VISIT_ID)\ where f.facility_type_id in (11,13) and f_sacs.facility_type_id in (2) and iben.referred_by is not null and itr.hiv_status in (1)\ and iv.IS_PREGNANT = '"'true'"'\ and b.gender in ('"'female'"')\ and iben.is_active = '"'true'"'\ and b.is_active = '"'true'"' \ and isc.is_active = '"'true'"'\ and f.is_active = '"'true'"'\ and f_sacs.is_active = '"'true'"'\ and iv.is_active = '"'true'"' \ and itr.is_active = '"'true'"'\ and ft.is_active = '"'true'"'\ group by\ f.id,b.gender,\ f.name,iv.BENEFICIARY_STATUS,f_sacs.name,f_sacs.id,\ extract(month from iben.registration_date),\ extract(year from iben.registration_date),itr.hiv_type)T10 on (T2.ID=T10.ID and T2."SACS_ID"=T10."SACS_ID" and T2."Received_Month"=T10."Received_Month" and T2."Received_Year"=T10."Received_Year")\ full outer join \ (select \ f.ID, \ f_sacs.name as "SACS",\ f.name as "ICTC_center",\ f_sacs.id as "SACS_ID",\ cast(count(iben.BENEFICIARY_ID)as numeric) as "Total_number_of_individuals_turned_Indeterminate_for_HIV_at_SA_ICTC",\ extract(month from iben.registration_date) as "Received_Month",\ extract(year from iben.registration_date) as "Received_Year"\ FROM ICTC_BENEFICIARY as iben \ JOIN BENEFICIARY as b on (iben.BENEFICIARY_ID = b.ID)\ JOIN ICTC_SAMPLE_COLLECTION as isc on (iben.ID = isc.ICTC_BENEFICIARY_ID)\ JOIN FACILITY as f on (iben.FACILITY_ID = f.ID)\ JOIN FACILITY as f_sacs on (f_sacs.id=f.sacs_id)\ JOIN ICTC_VISIT as iv on (isc.VISIT_ID = iv.ID)\ JOIN FACILITY_TYPE as ft on (f.FACILITY_TYPE_ID = ft.ID)\ JOIN ICTC_TEST_RESULT as itr on (iv.ID = itr.VISIT_ID)\ where f.facility_type_id in (10,11,13) and f_sacs.facility_type_id in (2) and itr.hiv_status in (3) \ and iv.IS_PREGNANT = '"'true'"'\ and b.gender in ('"'female'"')\ and iben.is_active = '"'true'"'\ and b.is_active = '"'true'"' \ and isc.is_active = '"'true'"'\ and f.is_active = '"'true'"'\ and f_sacs.is_active = '"'true'"'\ and iv.is_active = '"'true'"' \ and itr.is_active = '"'true'"'\ and ft.is_active = '"'true'"'\ group by\ f.id,b.gender,\ f.name,iv.BENEFICIARY_STATUS,f_sacs.name,f_sacs.id,\ extract(month from iben.registration_date),\ extract(year from iben.registration_date),itr.hiv_type)T11 \ on (T2.ID=T11.ID and T2."SACS_ID"=T11."SACS_ID" and T2."Received_Month"=T11."Received_Month" and T2."Received_Year"=T11."Received_Year")\ group by \ T2.ID,\ T2."SACS",\ T2."ICTC_center",\ T2."SACS_ID",\ T2."Received_Month",\ T2."Received_Year"\ \ )table2\ group by\ table2."SACS_ID" ,\ table2."SACS",\ table2."Received_Month", \ table2."Received_Year" \ )table3\ group by \ \ table3."Received_Month", \ table3."Received_Year"' #Execute query xl_df = pd.read_sql(sql, conn.connect()) return xl_df def create_report(): #Get dataframe df = fetch_data() # Start by opening the spreadsheet and selecting the main sheet workbook = load_workbook(filename='templates\\ictc_report_section_i_template.xlsx') sheet = workbook.active #Check if DF is empty if df.empty: print('DataFrame is empty!') else:# Write what you want into a specific cell print(df) sheet["H9"] = df['Number_of_individuals_received_pre-test_counseling/information'] sheet["H10"] = df['Number_of_individuals_tested_for_HIV'] sheet["H11"] = df['Number_of_individuals_receiving_post-test_counseling_and_given_results'] sheet["H12"] = df['Number_of_individuals_received_result_within_7_days_of_HIV_Test'] sheet["H13"] = 0 # once mapping available, update it. sheet["H14"] = df['Number_of_HIV_positive_individuals_having_HIV-I_infection'] sheet["H15"] = df['Number_of_HIV_positive_individuals_having_HIV-II_infection'] sheet["H16"] = df['Number_of_HIV_positive_individuals_having_both_HIV-I_&_II_infections'] sheet["H17"] = df['Number_of_individuals_tested_for_HIV_and_found_Negative'] sheet["H18"] = df['Number_of_individuals_with_High_Risk_Behavior_received_follow-up_counseling'] sheet["H19"] = df['Number_of_Self-initiated_Individuals_tested_for_HIV'] sheet["H20"] = df['Number_of_Self-initiated_individuals_diagnosed_HIV_positive'] sheet["H21"] = df['Number_of_provider_initiated_Individuals_tested_for_HIV'] sheet["H22"] = df['Number_of_provider_initiated_individuals_diagnosed_HIV_positive'] sheet["H123"] = df['Total_number_of_individuals_turned_Indeterminate_for_HIV_at_SA_ICTC'] # Save the spreadsheet now = datetime.datetime.now() pref = now.strftime('%Y_%b_') workbook.save(filename='reports\\ictc_report_' + pref + '_section_i national pregnant.xlsx') print ('*** Excel report created.') # Test the Function if __name__=="__main__": create_report()

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null

0

1

0

null

0

6

45fdf713e879afa97bc2678c0e2df6a54ce1b9fb

71

py

Python

pyssian/tests/__init__.py

maserasgroup-repo/pyssian

b80b216e24391db807a09518a237f94fa894a648

[ "MIT" ]

15

2021-07-07T16:25:26.000Z

2022-03-19T11:58:23.000Z

pyssian/tests/__init__.py

maserasgroup-repo/pyssian

b80b216e24391db807a09518a237f94fa894a648

[ "MIT" ]

9

2021-07-28T22:09:07.000Z

2022-01-17T08:03:15.000Z

pyssian/tests/__init__.py

maserasgroup-repo/pyssian

b80b216e24391db807a09518a237f94fa894a648

[ "MIT" ]

null

from .test_chemistryutils import * from .test_linkjobparsers import *

23.666667

35

0.816901

8

71

7

0.625

0.285714

0

0.126761

71

2

36

35.5

0.903226

0

1

0

true

0

1

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0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

341102a2a0f534d0559abd38574d973c63b2f2cf

32

py

Python

src/task/__init__.py

qihongl/dlstm-demo

1f2edc02708d1226224c76396548b40caafef76e

[ "MIT" ]

30

2019-06-14T11:22:42.000Z

2022-03-06T11:11:22.000Z

src/task/__init__.py

qihongl/dlstm-demo

1f2edc02708d1226224c76396548b40caafef76e

[ "MIT" ]

4

2019-04-23T22:08:25.000Z

2021-11-18T16:41:59.000Z

src/task/__init__.py

qihongl/dlstm-demo

1f2edc02708d1226224c76396548b40caafef76e

[ "MIT" ]

8

2019-10-23T20:44:31.000Z

2022-03-23T15:36:07.000Z

from .ContextualChoice import *

16

31

0.8125

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32

8.666667

1

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0.125

32

1

32

0.928571

0

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true

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null

0

1

0

1

0

1

0

6

342609da2a0d7d678b017b44a76a2d810ab489bc

4,850

py

Python

tests/test_op_naming_convention.py

limodou/uliweb-alembic

177ff67441a0f07d464df196caa43f894a0bd6aa

[ "MIT" ]

null

tests/test_op_naming_convention.py

limodou/uliweb-alembic

177ff67441a0f07d464df196caa43f894a0bd6aa

[ "MIT" ]

null

tests/test_op_naming_convention.py

limodou/uliweb-alembic

177ff67441a0f07d464df196caa43f894a0bd6aa

[ "MIT" ]

null

from sqlalchemy import Integer, Column, ForeignKey, \ Table, String, Boolean, MetaData, CheckConstraint from sqlalchemy.sql import column, func, text from sqlalchemy import event from alembic import op from . import op_fixture, assert_raises_message, requires_094 @requires_094 def test_add_check_constraint(): context = op_fixture(naming_convention={ "ck": "ck_%(table_name)s_%(constraint_name)s" }) op.create_check_constraint( "foo", "user_table", func.len(column('name')) > 5 ) context.assert_( "ALTER TABLE user_table ADD CONSTRAINT ck_user_table_foo " "CHECK (len(name) > 5)" ) @requires_094 def test_add_check_constraint_name_is_none(): context = op_fixture(naming_convention={ "ck": "ck_%(table_name)s_foo" }) op.create_check_constraint( None, "user_table", func.len(column('name')) > 5 ) context.assert_( "ALTER TABLE user_table ADD CONSTRAINT ck_user_table_foo " "CHECK (len(name) > 5)" ) @requires_094 def test_add_unique_constraint_name_is_none(): context = op_fixture(naming_convention={ "uq": "uq_%(table_name)s_foo" }) op.create_unique_constraint( None, "user_table", 'x' ) context.assert_( "ALTER TABLE user_table ADD CONSTRAINT uq_user_table_foo UNIQUE (x)" ) @requires_094 def test_add_index_name_is_none(): context = op_fixture(naming_convention={ "ix": "ix_%(table_name)s_foo" }) op.create_index( None, "user_table", 'x' ) context.assert_( "CREATE INDEX ix_user_table_foo ON user_table (x)" ) @requires_094 def test_add_check_constraint_already_named_from_schema(): m1 = MetaData( naming_convention={"ck": "ck_%(table_name)s_%(constraint_name)s"}) ck = CheckConstraint("im a constraint", name="cc1") Table('t', m1, Column('x'), ck) context = op_fixture( naming_convention={"ck": "ck_%(table_name)s_%(constraint_name)s"}) op.create_table( "some_table", Column('x', Integer, ck), ) context.assert_( "CREATE TABLE some_table " "(x INTEGER CONSTRAINT ck_t_cc1 CHECK (im a constraint))" ) @requires_094 def test_add_check_constraint_inline_on_table(): context = op_fixture( naming_convention={"ck": "ck_%(table_name)s_%(constraint_name)s"}) op.create_table( "some_table", Column('x', Integer), CheckConstraint("im a constraint", name="cc1") ) context.assert_( "CREATE TABLE some_table " "(x INTEGER, CONSTRAINT ck_some_table_cc1 CHECK (im a constraint))" ) @requires_094 def test_add_check_constraint_inline_on_table_w_f(): context = op_fixture( naming_convention={"ck": "ck_%(table_name)s_%(constraint_name)s"}) op.create_table( "some_table", Column('x', Integer), CheckConstraint("im a constraint", name=op.f("ck_some_table_cc1")) ) context.assert_( "CREATE TABLE some_table " "(x INTEGER, CONSTRAINT ck_some_table_cc1 CHECK (im a constraint))" ) @requires_094 def test_add_check_constraint_inline_on_column(): context = op_fixture( naming_convention={"ck": "ck_%(table_name)s_%(constraint_name)s"}) op.create_table( "some_table", Column('x', Integer, CheckConstraint("im a constraint", name="cc1")) ) context.assert_( "CREATE TABLE some_table " "(x INTEGER CONSTRAINT ck_some_table_cc1 CHECK (im a constraint))" ) @requires_094 def test_add_check_constraint_inline_on_column_w_f(): context = op_fixture( naming_convention={"ck": "ck_%(table_name)s_%(constraint_name)s"}) op.create_table( "some_table", Column( 'x', Integer, CheckConstraint("im a constraint", name=op.f("ck_q_cc1"))) ) context.assert_( "CREATE TABLE some_table " "(x INTEGER CONSTRAINT ck_q_cc1 CHECK (im a constraint))" ) @requires_094 def test_add_column_schema_type(): context = op_fixture(naming_convention={ "ck": "ck_%(table_name)s_%(constraint_name)s" }) op.add_column('t1', Column('c1', Boolean(name='foo'), nullable=False)) context.assert_( 'ALTER TABLE t1 ADD COLUMN c1 BOOLEAN NOT NULL', 'ALTER TABLE t1 ADD CONSTRAINT ck_t1_foo CHECK (c1 IN (0, 1))' ) @requires_094 def test_add_column_schema_type_w_f(): context = op_fixture(naming_convention={ "ck": "ck_%(table_name)s_%(constraint_name)s" }) op.add_column( 't1', Column('c1', Boolean(name=op.f('foo')), nullable=False)) context.assert_( 'ALTER TABLE t1 ADD COLUMN c1 BOOLEAN NOT NULL', 'ALTER TABLE t1 ADD CONSTRAINT foo CHECK (c1 IN (0, 1))' )

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null

0

1

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null

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6

343f4c316df3eb94e2a093e054414bbe03136825

215

py

Python

learn-to-code-with-python/06-Strings-The-Basics/length-concatenation-and-immutability.py

MaciejZurek/python_practicing

0a426f2aed151573e1f8678e0239ff596d92bbde

[ "MIT" ]

null

learn-to-code-with-python/06-Strings-The-Basics/length-concatenation-and-immutability.py

MaciejZurek/python_practicing

0a426f2aed151573e1f8678e0239ff596d92bbde

[ "MIT" ]

null

learn-to-code-with-python/06-Strings-The-Basics/length-concatenation-and-immutability.py

MaciejZurek/python_practicing

0a426f2aed151573e1f8678e0239ff596d92bbde

[ "MIT" ]

null

print(len("Python")) print(len("programming")) print(len(" ")) print("Maciej" + "Zurek") print("Maciej " + "Zurek") print("Maciej" + " Zurek") print("Maciej" + " " + "Zurek") print("a" "b" "c") print("---" * 10)

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null

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6

344305657381aa397d4c83394bfe167385f5900d

66

py

Python

test/utils.py

gadalang/gadalang-lang

16cc1ea403a31667632bb4055257bb7754f0d15d

[ "MIT" ]

null

test/utils.py

gadalang/gadalang-lang

16cc1ea403a31667632bb4055257bb7754f0d15d

[ "MIT" ]

null

test/utils.py

gadalang/gadalang-lang

16cc1ea403a31667632bb4055257bb7754f0d15d

[ "MIT" ]

null

import unittest class TestCaseBase(unittest.TestCase): pass

11

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null

0

1

0

1

0

6

344976bb5cdd0e0335c4f00e9f675ace6eaf5192

117

py

Python

autolog/views.py

ReneBrals/RESS-AutoLog

344650797c00298c701bf8c7d086f4bd3fafc978

[ "MIT" ]

null

autolog/views.py

ReneBrals/RESS-AutoLog

344650797c00298c701bf8c7d086f4bd3fafc978

[ "MIT" ]

null

autolog/views.py

ReneBrals/RESS-AutoLog

344650797c00298c701bf8c7d086f4bd3fafc978

[ "MIT" ]

null

from django.http import HttpResponseRedirect def redir(request): return HttpResponseRedirect('autologbackend/')

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null

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caba3c87902297ff01448b03d46dc126efaf2182

23

py

Python

AcsServer/__init__.py

FurmanCenter/ACSDownloader

918afc0c7baa8814da98c2e3ee11352af68c027e

[ "Apache-2.0" ]

1

2020-04-15T15:40:18.000Z

AcsServer/__init__.py

FurmanCenter/ACSDownloader

918afc0c7baa8814da98c2e3ee11352af68c027e

[ "Apache-2.0" ]

null

AcsServer/__init__.py

FurmanCenter/ACSDownloader

918afc0c7baa8814da98c2e3ee11352af68c027e

[ "Apache-2.0" ]

null

from AcsServer import *

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null

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1

0

1

0

6

cabe0e106067c1e1d947b5b24c5fd3a032171d11

32

py

Python

bm25fast/__init__.py

timattwell/bm25-rust

4b73cacaf36cdbf1e9e5c78d01c8e34a82e74566

[ "MIT" ]

null

bm25fast/__init__.py

timattwell/bm25-rust

4b73cacaf36cdbf1e9e5c78d01c8e34a82e74566

[ "MIT" ]

null

bm25fast/__init__.py

timattwell/bm25-rust

4b73cacaf36cdbf1e9e5c78d01c8e34a82e74566

[ "MIT" ]

null

from MyLib.bm25_rust import BM25

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6

1b131e12dd79e015fe42981dafd55209124444b0

34

py

Python

nanoevent/__init__.py

berry-langerak/nanoevent

65ebd1bee82816b4067f3c33bb302b1ee5ac1931

[ "MIT" ]

null

nanoevent/__init__.py

berry-langerak/nanoevent

65ebd1bee82816b4067f3c33bb302b1ee5ac1931

[ "MIT" ]

null

nanoevent/__init__.py

berry-langerak/nanoevent

65ebd1bee82816b4067f3c33bb302b1ee5ac1931

[ "MIT" ]

null

from .dispatcher import Dispatcher

34

0.882353

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0.967742

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null

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0

1

0

1

0

6

1b3a75eaea1aa134df3f6ce8dd9ad7ed0cb05aa6

103

py

Python

experiments/__init__.py

srikarym/torchrl

fee98e78ac1657a2c9a4063dd8d63ba207a121e2

[ "Apache-2.0" ]

3

2019-02-27T19:00:32.000Z

2020-07-19T03:18:28.000Z

experiments/__init__.py

srikarym/torchrl

fee98e78ac1657a2c9a4063dd8d63ba207a121e2

[ "Apache-2.0" ]

null

experiments/__init__.py

srikarym/torchrl

fee98e78ac1657a2c9a4063dd8d63ba207a121e2

[ "Apache-2.0" ]

null

from . import a2c from . import ddpg from . import dqn from . import ppo from . import prioritized_dqn

17.166667

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103

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null

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6

94021390ad6156157defede94424552ab99e054d

4,329

py

Python

tests/open_alchemy/models_file/model/test_source/test_typed_dict.py

MihailMiller/OpenAlchemy

55b751c58ca50706ebc46262f50addb7dec34278

[ "Apache-2.0" ]

40

2019-11-05T06:50:35.000Z

2022-03-09T01:34:57.000Z

tests/open_alchemy/models_file/model/test_source/test_typed_dict.py

MihailMiller/OpenAlchemy

55b751c58ca50706ebc46262f50addb7dec34278

[ "Apache-2.0" ]

178

2019-11-03T04:10:38.000Z

2022-03-31T00:07:17.000Z

tests/open_alchemy/models_file/model/test_source/test_typed_dict.py

MihailMiller/OpenAlchemy

55b751c58ca50706ebc46262f50addb7dec34278

[ "Apache-2.0" ]

17

2019-11-04T07:22:46.000Z

2022-03-23T05:29:49.000Z

"""Tests for model.""" import pytest from open_alchemy.models_file import types from open_alchemy.models_file.model import source as model_source _ColumnArtifacts = types.ColumnArtifacts _TypedDictArtifacts = types.TypedDictArtifacts _TypedDictClassArtifacts = types.TypedDictClassArtifacts @pytest.mark.parametrize( "artifacts, expected_source", [ ( _TypedDictArtifacts( required=_TypedDictClassArtifacts( props=[_ColumnArtifacts(name="column_1", type="type_1")], empty=False, name="ModelRequiredDict", parent_class="RequiredParentClass", ), not_required=None, # type: ignore ), ''' class ModelRequiredDict(RequiredParentClass, total=True): """TypedDict for properties that are required.""" column_1: type_1''', ), ( _TypedDictArtifacts( required=_TypedDictClassArtifacts( props=[ _ColumnArtifacts(name="column_1", type="type_1"), _ColumnArtifacts(name="column_2", type="type_2"), ], empty=False, name="ModelRequiredDict", parent_class="RequiredParentClass", ), not_required=None, # type: ignore ), ''' class ModelRequiredDict(RequiredParentClass, total=True): """TypedDict for properties that are required.""" column_1: type_1 column_2: type_2''', ), ], ids=["single property", "multiple properties"], ) @pytest.mark.models_file def test_typed_dict_required(artifacts, expected_source): """ GIVEN model artifacts WHEN typed_dict_required is called with the artifacts THEN the source code for the typed dict class is returned. """ source = model_source.typed_dict_required(artifacts=artifacts) assert source == expected_source @pytest.mark.parametrize( "artifacts, expected_source", [ ( _TypedDictArtifacts( required=None, # type: ignore not_required=_TypedDictClassArtifacts( props=[], empty=True, name="ModelNotRequiredDict", parent_class="NotRequiredParentClass", ), ), ''' class ModelNotRequiredDict(NotRequiredParentClass, total=False): """TypedDict for properties that are not required."""''', ), ( _TypedDictArtifacts( required=None, # type: ignore not_required=_TypedDictClassArtifacts( props=[_ColumnArtifacts(name="column_1", type="type_1")], empty=False, name="ModelNotRequiredDict", parent_class="NotRequiredParentClass", ), ), ''' class ModelNotRequiredDict(NotRequiredParentClass, total=False): """TypedDict for properties that are not required.""" column_1: type_1''', ), ( _TypedDictArtifacts( required=None, # type: ignore not_required=_TypedDictClassArtifacts( props=[ _ColumnArtifacts(name="column_1", type="type_1"), _ColumnArtifacts(name="column_2", type="type_2"), ], empty=False, name="ModelNotRequiredDict", parent_class="NotRequiredParentClass", ), ), ''' class ModelNotRequiredDict(NotRequiredParentClass, total=False): """TypedDict for properties that are not required.""" column_1: type_1 column_2: type_2''', ), ], ids=["empty", "single property", "multiple properties"], ) @pytest.mark.models_file def test_typed_dict_not_required(artifacts, expected_source): """ GIVEN model artifacts WHEN typed_dict_not_required is called with the artifacts THEN the source code for the typed dict class is returned. """ source = model_source.typed_dict_not_required(artifacts=artifacts) assert source == expected_source

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null

0

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null

0

6

942301af5d2bc9404b9018b84a0677d63eec961c

79

py

Python

PyFSM/pyfsm/exceptions/null_exception.py

wafec/wafec-py-fsm

444b7b797411daa3186cf812535a660404951d00

[ "MIT" ]

null

PyFSM/pyfsm/exceptions/null_exception.py

wafec/wafec-py-fsm

444b7b797411daa3186cf812535a660404951d00

[ "MIT" ]

null

PyFSM/pyfsm/exceptions/null_exception.py

wafec/wafec-py-fsm

444b7b797411daa3186cf812535a660404951d00

[ "MIT" ]

null

from .base import ExceptionBase class NullException(ExceptionBase): pass

13.166667

35

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79

7.75

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0

0.164557

79

5

36

15.8

0.939394

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true

0.333333

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null

0

1

0

null

0

1

0

1

0

6

942d624c760d53cedec0c81607d9639db147ec0d

43

py

Python

api/__init__.py

satyap54/synced-player

7dda4150762393ed431a62d779a8e3b7051bc9ef

[ "MIT" ]

null

api/__init__.py

satyap54/synced-player

7dda4150762393ed431a62d779a8e3b7051bc9ef

[ "MIT" ]

null

api/__init__.py

satyap54/synced-player

7dda4150762393ed431a62d779a8e3b7051bc9ef

[ "MIT" ]

null

from . import schemas, models, dependencies

43

0.813953

5

43

7

1

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0.116279

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1

43

0.921053

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null

0

1

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1

0

1

0

6

9432bd961e4352b4d8019b837f853b2bfb7c4a5d

251

py

Python

torch3d/metrics/metric.py

zhangmozhe/torch3d

d47e9b243e520f9c0c72a26c271d2c7ad242cb65

[ "BSD-3-Clause" ]

2

2020-08-28T08:57:38.000Z

2021-12-13T06:17:11.000Z

torch3d/metrics/metric.py

murari023/torch3d

9a451f876fe7ea23f6251ad783f505ec363ee884

[ "BSD-3-Clause" ]

null

torch3d/metrics/metric.py

murari023/torch3d

9a451f876fe7ea23f6251ad783f505ec363ee884

[ "BSD-3-Clause" ]

1

2020-06-03T15:19:25.000Z

class Metric(object): def reset(self): raise NotImplementedError def update(self, x, y): raise NotImplementedError def score(self): raise NotImplementedError def mean(self): raise NotImplementedError

19.307692

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251

6.52

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0.380368

0

0.282869

251

12

34

20.916667

0.905556

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false

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0.555556

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null

1

0

null

0

1

0

1

0

6

9437515fe5f6b31da8aed3a53d5e17456b7c97be

155

py

Python

app/api/__init__.py

riipandi/flask-blueprint

bb4511391d9d27c0ef1017173c36864aef2441aa

[ "MIT" ]

1

2020-07-06T05:32:16.000Z

app/api/__init__.py

riipandi/flask-blueprint

bb4511391d9d27c0ef1017173c36864aef2441aa

[ "MIT" ]

null

app/api/__init__.py

riipandi/flask-blueprint

bb4511391d9d27c0ef1017173c36864aef2441aa

[ "MIT" ]

null

from flask import Blueprint # Definisikan modul Blueprint api = Blueprint('api', __name__, url_prefix='/api') # Load komponen modul from .index import *

19.375

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20

155

5.6

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0.214286

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155

7

52

22.142857

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0

0.066667

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false

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1

0

null

0

1

0

1

0

6

8481c7b23e5c04f71e76d28dbeebdbb0529c5eb6

43

py

Python

run_5117.py

mpi3d/goodix-fp-dump

039940845bd5eeb98cd92d72f267e3be77feb156

[ "MIT" ]

136

2021-05-05T14:16:17.000Z

2022-03-31T09:04:18.000Z

run_5117.py

tsunekotakimoto/goodix-fp-dump

b88ecbababd3766314521fe30ee943c4bd1810df

[ "MIT" ]

14

2021-08-20T09:49:39.000Z

2022-03-20T13:18:05.000Z

run_5117.py

tsunekotakimoto/goodix-fp-dump

b88ecbababd3766314521fe30ee943c4bd1810df

[ "MIT" ]

11

2021-08-02T15:49:11.000Z

2022-02-06T22:06:42.000Z

from driver_51x7 import main main(0x5117)

10.75

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0.813953

7

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4.857143

0.857143

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null

0

1

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6

849c9ddf3843def486a01f8f7dea0026893a242f

30

py

Python

isingpy/__init__.py

kamran-haider/isingpy

cd9c98f7702922f539c3a9cc1dc31cec17279f98

[ "MIT" ]

null

isingpy/__init__.py

kamran-haider/isingpy

cd9c98f7702922f539c3a9cc1dc31cec17279f98

[ "MIT" ]

null

isingpy/__init__.py

kamran-haider/isingpy

cd9c98f7702922f539c3a9cc1dc31cec17279f98

[ "MIT" ]

null

from .ising import IsingModel

15

29

0.833333

4

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0.961538

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true

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84f29ef38ed5c526be58faf5d67e17cf667526f8

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py

Python

lcs/agents/yacs/__init__.py

GodspeedYouBlackEmperor/pyalcs

9811bc5cde935e04e0fd87fb5930bd1b9170e73a

[ "MIT" ]

11

2018-02-13T05:37:26.000Z

2022-02-02T13:33:18.000Z

lcs/agents/yacs/__init__.py

GodspeedYouBlackEmperor/pyalcs

9811bc5cde935e04e0fd87fb5930bd1b9170e73a

[ "MIT" ]

40

2017-09-07T07:15:43.000Z

2021-06-09T15:42:27.000Z

lcs/agents/yacs/__init__.py

GodspeedYouBlackEmperor/pyalcs

9811bc5cde935e04e0fd87fb5930bd1b9170e73a

[ "MIT" ]

14

2017-10-31T09:01:14.000Z

2022-01-02T09:38:29.000Z

from .yacs import Configuration, YACS

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ca05e1083a00680da2d8dee945cd06cbf7cea681

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py

Python

hello.py

smartCampusBPHC/website

cf6d3b58c40234aaa4207a4d8f43b37ec5ee88d8

[ "MIT" ]

null

hello.py

smartCampusBPHC/website

cf6d3b58c40234aaa4207a4d8f43b37ec5ee88d8

[ "MIT" ]

null

hello.py

smartCampusBPHC/website

cf6d3b58c40234aaa4207a4d8f43b37ec5ee88d8

[ "MIT" ]

null

import os print "hello world"

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ca250e241ea1d1435f1a762c202dcc9751b56af7

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py

Python

docs/papers/wpmvp14/experiments/np0.py

davidbrochart/pythran

24b6c8650fe99791a4091cbdc2c24686e86aa67c

[ "BSD-3-Clause" ]

1,647

2015-01-13T01:45:38.000Z

2022-03-28T01:23:41.000Z

docs/papers/wpmvp14/experiments/np0.py

davidbrochart/pythran

24b6c8650fe99791a4091cbdc2c24686e86aa67c

[ "BSD-3-Clause" ]

1,116

2015-01-01T09:52:05.000Z

2022-03-18T21:06:40.000Z

docs/papers/wpmvp14/experiments/np0.py

davidbrochart/pythran

24b6c8650fe99791a4091cbdc2c24686e86aa67c

[ "BSD-3-Clause" ]

180

2015-02-12T02:47:28.000Z

2022-03-14T10:28:18.000Z

#pythran export np0(float []) import numpy as np def np0(a): return 1. / a + a

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py

Python

awis/__init__.py

whistlebee/awis-py

01793c72b369e5e41c4d11b7ba67f71e47cee3ef

[ "Apache-2.0" ]

1

2020-09-04T18:50:32.000Z

awis/__init__.py

whistlebee/awis-py

01793c72b369e5e41c4d11b7ba67f71e47cee3ef

[ "Apache-2.0" ]

1

2020-09-06T05:51:43.000Z

2020-09-19T09:27:56.000Z

awis/__init__.py

whistlebee/awis-py

01793c72b369e5e41c4d11b7ba67f71e47cee3ef

[ "Apache-2.0" ]

null

from .awis import AWIS

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py

Python

hypertuner/__init__.py

hypertuner/hypertuner-pythonlib

416cb48b75967409b5b77272fdebc0500cc2a7d9

[ "MIT" ]

1

2019-08-19T22:29:25.000Z

hypertuner/__init__.py

hypertuner/hypertuner-pythonlib

416cb48b75967409b5b77272fdebc0500cc2a7d9

[ "MIT" ]

null

hypertuner/__init__.py

hypertuner/hypertuner-pythonlib

416cb48b75967409b5b77272fdebc0500cc2a7d9

[ "MIT" ]

null

from .args import * from .logger import * from .saver import *

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py

Python

python/PD_motor_controller_plot.py

Tbarkin121/CubeBot_IsaacGym

1f2539d63576be83bdb6ca38455f5656562ad11d

[ "MIT" ]

null

python/PD_motor_controller_plot.py

Tbarkin121/CubeBot_IsaacGym

1f2539d63576be83bdb6ca38455f5656562ad11d

[ "MIT" ]

null

python/PD_motor_controller_plot.py

Tbarkin121/CubeBot_IsaacGym

1f2539d63576be83bdb6ca38455f5656562ad11d

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Jan 13 14:19:24 2022 @author: tyler """ import matplotlib.pyplot as plt from matplotlib import cm from matplotlib.ticker import LinearLocator import numpy as np #%% maxSpeed = 200 maxTorque = 2 Stiffness = 0 #Scales posError Damping = 0.1 #Scales velError num_points = 25 ones = np.ones((num_points, 1)) posError = np.linspace(-10, 10, num=num_points, endpoint=True, retstep=False, dtype=None, axis=0) posError = np.expand_dims(posError, 1) posError = np.transpose(np.dot(posError, np.transpose(ones))) posTorque = posError*Stiffness velError = np.linspace(-maxSpeed, maxSpeed, num=num_points, endpoint=True, retstep=False, dtype=None, axis=0) velError = np.expand_dims(velError, 1) velError = np.dot(velError, np.transpose(ones)) velTorque = velError*Damping Torque = np.clip(posTorque + velTorque, -maxTorque, maxTorque) azim_setpoints = np.linspace(0, 360, num=50, endpoint=True, retstep=False, dtype=None, axis=0) for azim in azim_setpoints: fig, ax = plt.subplots(subplot_kw={"projection": "3d"}) ax.view_init(elev=45, azim=azim) ax.dist = 10 surf = ax.plot_surface(posError, velError, Torque, cmap=cm.coolwarm, linewidth=0, antialiased=False) # Add a color bar which maps values to colors. fig.colorbar(surf) ax.set_xlabel('Pos Error') ax.set_ylabel('Vel Error') ax.set_zlabel('Torque') plt.show() #%% plt.plot(posError, Torque) plt.ylabel('Torque') plt.xlabel('Error') plt.show() #%% maxSpeed = 200 maxTorque = 2 Stiffness = 0 #Scales posError Damping = 0.01 #Scales velError num_points = 25 ones = np.ones((num_points, 1)) dof_vel = np.linspace(-maxSpeed, maxSpeed, num=num_points, endpoint=True, retstep=False, dtype=None, axis=0) dof_vel = np.expand_dims(dof_vel, 1) dof_vel = np.transpose(np.dot(dof_vel, np.transpose(ones))) action = np.linspace(-1, 1, num=num_points, endpoint=True, retstep=False, dtype=None, axis=0) action = np.expand_dims(action, 1) action = np.dot(action, np.transpose(ones)) TorqueTarget = action*maxTorque max_available_torque = np.clip(maxTorque - dof_vel*maxTorque/maxSpeed, -maxTorque, maxTorque) min_available_torque = np.clip(-maxTorque - dof_vel*maxTorque/maxSpeed, -maxTorque, maxTorque) Torque = np.clip(TorqueTarget, min_available_torque, max_available_torque) azim_setpoints = np.linspace(0, 45, num=100, endpoint=True, retstep=False, dtype=None, axis=0) for azim in azim_setpoints: fig, ax = plt.subplots(subplot_kw={"projection": "3d"}) ax.view_init(elev=45, azim=azim) ax.dist = 10 surf = ax.plot_surface(dof_vel, TorqueTarget, Torque, cmap=cm.coolwarm, linewidth=0, antialiased=False) # Add a color bar which maps values to colors. fig.colorbar(surf) ax.set_xlabel('DOF Vel') ax.set_ylabel('Torque Target') ax.set_zlabel('Torque Actual') plt.show() #%% maxSpeed = 200 maxTorque = 2 Stiffness = 0 #Scales posError Damping = 0.01 #Scales velError num_points = 25 ones = np.ones((num_points, 1)) dof_vel = np.linspace(-maxSpeed, maxSpeed, num=num_points, endpoint=True, retstep=False, dtype=None, axis=0) dof_vel = np.expand_dims(dof_vel, 1) dof_vel = np.transpose(np.dot(dof_vel, np.transpose(ones))) action = np.linspace(-1, 1, num=num_points, endpoint=True, retstep=False, dtype=None, axis=0) action = np.expand_dims(action, 1) action = np.dot(action, np.transpose(ones)) TorqueTarget = action*maxTorque offset = 2 max_available_torque = np.clip(maxTorque - (offset*dof_vel/maxSpeed + (1-offset))*maxTorque, -maxTorque, maxTorque) min_available_torque = np.clip(-maxTorque - (offset*dof_vel/maxSpeed - (1-offset))*maxTorque, -maxTorque, maxTorque) Torque = np.clip(TorqueTarget, min_available_torque, max_available_torque) azim_setpoints = np.linspace(0, 45, num=100, endpoint=True, retstep=False, dtype=None, axis=0) for azim in azim_setpoints: fig, ax = plt.subplots(subplot_kw={"projection": "3d"}) ax.view_init(elev=45, azim=azim) ax.dist = 10 surf = ax.plot_surface(dof_vel, TorqueTarget, Torque, cmap=cm.coolwarm, linewidth=0, antialiased=False) # Add a color bar which maps values to colors. fig.colorbar(surf) ax.set_xlabel('DOF Vel') ax.set_ylabel('Torque Target') ax.set_zlabel('Torque Actual') plt.show()

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py

Python

rgpy/standard/__init__.py

jqhoogland/rgpy

a2a45d3347e55554efe16b4f68bdc03ee19cc9c8

[ "MIT" ]

4

2019-06-25T11:34:58.000Z

2020-12-08T17:49:20.000Z

rgpy/standard/__init__.py

jqhoogland/rgpy

a2a45d3347e55554efe16b4f68bdc03ee19cc9c8

[ "MIT" ]

null

rgpy/standard/__init__.py

jqhoogland/rgpy

a2a45d3347e55554efe16b4f68bdc03ee19cc9c8

[ "MIT" ]

null

from .block_rg import *

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py

Python

src/bgwork/__init__.py

realprocrastinator/DIMY-grp

40fcf111ed8f6c525a5df74ddf84deff0c1b7736

[ "MIT" ]

null

src/bgwork/__init__.py

realprocrastinator/DIMY-grp

40fcf111ed8f6c525a5df74ddf84deff0c1b7736

[ "MIT" ]

null

src/bgwork/__init__.py

realprocrastinator/DIMY-grp

40fcf111ed8f6c525a5df74ddf84deff0c1b7736

[ "MIT" ]

null

from .bgmgr import BackgroundManager

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6d4b17960d768468c41b4ed2ba763d4e4aa9dc27

16,117

py

Python

tests/functional/source_overrides/fixtures.py

tomasfarias/dbt-core

ed5df342ca5d99c5e6971ee6d11c8cf3e6e263b3

[ "Apache-2.0" ]

799

2021-10-13T21:40:33.000Z

2022-03-31T16:19:31.000Z

tests/functional/source_overrides/fixtures.py

tomasfarias/dbt-core

ed5df342ca5d99c5e6971ee6d11c8cf3e6e263b3

[ "Apache-2.0" ]

939

2021-10-13T17:45:24.000Z

2022-03-31T22:09:58.000Z

tests/functional/source_overrides/fixtures.py

tomasfarias/dbt-core

ed5df342ca5d99c5e6971ee6d11c8cf3e6e263b3

[ "Apache-2.0" ]

175

2021-10-14T18:59:06.000Z

2022-03-31T16:17:32.000Z

import pytest dupe_models__schema2_yml = """ version: 2 sources: - name: my_source overrides: localdep schema: "{{ target.schema }}" database: "{{ target.database }}" freshness: error_after: {count: 3, period: day} tables: - name: my_table identifier: my_real_seed # on the override, the "color" column is only unique, it can be null! columns: - name: id tests: - not_null - unique - name: color tests: - unique - name: my_other_table identifier: my_real_other_seed - name: snapshot_freshness identifier: snapshot_freshness_base freshness: error_after: {count: 1, period: day} """ dupe_models__schema1_yml = """ version: 2 sources: - name: my_source overrides: localdep schema: "{{ target.schema }}" database: "{{ target.database }}" freshness: error_after: {count: 3, period: day} tables: - name: my_table identifier: my_real_seed # on the override, the "color" column is only unique, it can be null! columns: - name: id tests: - not_null - unique - name: color tests: - unique - name: my_other_table identifier: my_real_other_seed - name: snapshot_freshness identifier: snapshot_freshness_base freshness: error_after: {count: 1, period: day} """ local_dependency__dbt_project_yml = """ config-version: 2 name: localdep version: '1.0' profile: 'default' seeds: quote_columns: False seed-paths: ['seeds'] """ local_dependency__models__schema_yml = """ version: 2 sources: - name: my_source schema: invalid_schema database: invalid_database freshness: error_after: {count: 3, period: hour} tables: - name: my_table identifier: my_seed columns: - name: id tests: - unique - not_null - name: color tests: - unique - not_null - name: my_other_table identifier: my_other_seed columns: - name: id tests: - unique - not_null - name: letter tests: - unique - not_null - name: snapshot_freshness identifier: snapshot_freshness_base loaded_at_field: updated_at freshness: error_after: {count: 1, period: hour} - name: my_other_source schema: "{{ target.schema }}" database: "{{ target.database }}" freshness: error_after: {count: 1, period: day} tables: - name: never_fresh loaded_at_field: updated_at """ local_dependency__models__my_model_sql = """ {{ config(materialized="table") }} with colors as ( select id, color from {{ source('my_source', 'my_table') }} ), letters as ( select id, letter from {{ source('my_source', 'my_other_table') }} ) select letter, color from colors join letters using (id) """ local_dependency__seeds__my_other_seed_csv = """id,letter 1,r 2,g 3,b """ local_dependency__seeds__my_seed_csv = """id,color 1,red 2,green 3,blue """ local_dependency__seeds__keep__never_fresh_csv = """favorite_color,id,first_name,email,ip_address,updated_at blue,1,Larry,lking0@miitbeian.gov.cn,'69.135.206.194',2008-09-12 19:08:31 blue,2,Larry,lperkins1@toplist.cz,'64.210.133.162',1978-05-09 04:15:14 blue,3,Anna,amontgomery2@miitbeian.gov.cn,'168.104.64.114',2011-10-16 04:07:57 blue,4,Sandra,sgeorge3@livejournal.com,'229.235.252.98',1973-07-19 10:52:43 blue,5,Fred,fwoods4@google.cn,'78.229.170.124',2012-09-30 16:38:29 blue,6,Stephen,shanson5@livejournal.com,'182.227.157.105',1995-11-07 21:40:50 blue,7,William,wmartinez6@upenn.edu,'135.139.249.50',1982-09-05 03:11:59 blue,8,Jessica,jlong7@hao123.com,'203.62.178.210',1991-10-16 11:03:15 blue,9,Douglas,dwhite8@tamu.edu,'178.187.247.1',1979-10-01 09:49:48 blue,10,Lisa,lcoleman9@nydailynews.com,'168.234.128.249',2011-05-26 07:45:49 blue,11,Ralph,rfieldsa@home.pl,'55.152.163.149',1972-11-18 19:06:11 blue,12,Louise,lnicholsb@samsung.com,'141.116.153.154',2014-11-25 20:56:14 blue,13,Clarence,cduncanc@sfgate.com,'81.171.31.133',2011-11-17 07:02:36 blue,14,Daniel,dfranklind@omniture.com,'8.204.211.37',1980-09-13 00:09:04 blue,15,Katherine,klanee@auda.org.au,'176.96.134.59',1997-08-22 19:36:56 blue,16,Billy,bwardf@wikia.com,'214.108.78.85',2003-10-19 02:14:47 blue,17,Annie,agarzag@ocn.ne.jp,'190.108.42.70',1988-10-28 15:12:35 blue,18,Shirley,scolemanh@fastcompany.com,'109.251.164.84',1988-08-24 10:50:57 blue,19,Roger,rfrazieri@scribd.com,'38.145.218.108',1985-12-31 15:17:15 blue,20,Lillian,lstanleyj@goodreads.com,'47.57.236.17',1970-06-08 02:09:05 blue,21,Aaron,arodriguezk@nps.gov,'205.245.118.221',1985-10-11 23:07:49 blue,22,Patrick,pparkerl@techcrunch.com,'19.8.100.182',2006-03-29 12:53:56 blue,23,Phillip,pmorenom@intel.com,'41.38.254.103',2011-11-07 15:35:43 blue,24,Henry,hgarcian@newsvine.com,'1.191.216.252',2008-08-28 08:30:44 blue,25,Irene,iturnero@opera.com,'50.17.60.190',1994-04-01 07:15:02 blue,26,Andrew,adunnp@pen.io,'123.52.253.176',2000-11-01 06:03:25 blue,27,David,dgutierrezq@wp.com,'238.23.203.42',1988-01-25 07:29:18 blue,28,Henry,hsanchezr@cyberchimps.com,'248.102.2.185',1983-01-01 13:36:37 blue,29,Evelyn,epetersons@gizmodo.com,'32.80.46.119',1979-07-16 17:24:12 blue,30,Tammy,tmitchellt@purevolume.com,'249.246.167.88',2001-04-03 10:00:23 blue,31,Jacqueline,jlittleu@domainmarket.com,'127.181.97.47',1986-02-11 21:35:50 blue,32,Earl,eortizv@opera.com,'166.47.248.240',1996-07-06 08:16:27 blue,33,Juan,jgordonw@sciencedirect.com,'71.77.2.200',1987-01-31 03:46:44 blue,34,Diane,dhowellx@nyu.edu,'140.94.133.12',1994-06-11 02:30:05 blue,35,Randy,rkennedyy@microsoft.com,'73.255.34.196',2005-05-26 20:28:39 blue,36,Janice,jriveraz@time.com,'22.214.227.32',1990-02-09 04:16:52 blue,37,Laura,lperry10@diigo.com,'159.148.145.73',2015-03-17 05:59:25 blue,38,Gary,gray11@statcounter.com,'40.193.124.56',1970-01-27 10:04:51 blue,39,Jesse,jmcdonald12@typepad.com,'31.7.86.103',2009-03-14 08:14:29 blue,40,Sandra,sgonzalez13@goodreads.com,'223.80.168.239',1993-05-21 14:08:54 blue,41,Scott,smoore14@archive.org,'38.238.46.83',1980-08-30 11:16:56 blue,42,Phillip,pevans15@cisco.com,'158.234.59.34',2011-12-15 23:26:31 blue,43,Steven,sriley16@google.ca,'90.247.57.68',2011-10-29 19:03:28 blue,44,Deborah,dbrown17@hexun.com,'179.125.143.240',1995-04-10 14:36:07 blue,45,Lori,lross18@ow.ly,'64.80.162.180',1980-12-27 16:49:15 blue,46,Sean,sjackson19@tumblr.com,'240.116.183.69',1988-06-12 21:24:45 blue,47,Terry,tbarnes1a@163.com,'118.38.213.137',1997-09-22 16:43:19 blue,48,Dorothy,dross1b@ebay.com,'116.81.76.49',2005-02-28 13:33:24 blue,49,Samuel,swashington1c@house.gov,'38.191.253.40',1989-01-19 21:15:48 blue,50,Ralph,rcarter1d@tinyurl.com,'104.84.60.174',2007-08-11 10:21:49 """ local_dependency__seeds__keep__snapshot_freshness_base_csv = """favorite_color,id,first_name,email,ip_address,updated_at blue,1,Larry,lking0@miitbeian.gov.cn,'69.135.206.194',2008-09-12 19:08:31 blue,2,Larry,lperkins1@toplist.cz,'64.210.133.162',1978-05-09 04:15:14 blue,3,Anna,amontgomery2@miitbeian.gov.cn,'168.104.64.114',2011-10-16 04:07:57 blue,4,Sandra,sgeorge3@livejournal.com,'229.235.252.98',1973-07-19 10:52:43 blue,5,Fred,fwoods4@google.cn,'78.229.170.124',2012-09-30 16:38:29 blue,6,Stephen,shanson5@livejournal.com,'182.227.157.105',1995-11-07 21:40:50 blue,7,William,wmartinez6@upenn.edu,'135.139.249.50',1982-09-05 03:11:59 blue,8,Jessica,jlong7@hao123.com,'203.62.178.210',1991-10-16 11:03:15 blue,9,Douglas,dwhite8@tamu.edu,'178.187.247.1',1979-10-01 09:49:48 blue,10,Lisa,lcoleman9@nydailynews.com,'168.234.128.249',2011-05-26 07:45:49 blue,11,Ralph,rfieldsa@home.pl,'55.152.163.149',1972-11-18 19:06:11 blue,12,Louise,lnicholsb@samsung.com,'141.116.153.154',2014-11-25 20:56:14 blue,13,Clarence,cduncanc@sfgate.com,'81.171.31.133',2011-11-17 07:02:36 blue,14,Daniel,dfranklind@omniture.com,'8.204.211.37',1980-09-13 00:09:04 blue,15,Katherine,klanee@auda.org.au,'176.96.134.59',1997-08-22 19:36:56 blue,16,Billy,bwardf@wikia.com,'214.108.78.85',2003-10-19 02:14:47 blue,17,Annie,agarzag@ocn.ne.jp,'190.108.42.70',1988-10-28 15:12:35 blue,18,Shirley,scolemanh@fastcompany.com,'109.251.164.84',1988-08-24 10:50:57 blue,19,Roger,rfrazieri@scribd.com,'38.145.218.108',1985-12-31 15:17:15 blue,20,Lillian,lstanleyj@goodreads.com,'47.57.236.17',1970-06-08 02:09:05 blue,21,Aaron,arodriguezk@nps.gov,'205.245.118.221',1985-10-11 23:07:49 blue,22,Patrick,pparkerl@techcrunch.com,'19.8.100.182',2006-03-29 12:53:56 blue,23,Phillip,pmorenom@intel.com,'41.38.254.103',2011-11-07 15:35:43 blue,24,Henry,hgarcian@newsvine.com,'1.191.216.252',2008-08-28 08:30:44 blue,25,Irene,iturnero@opera.com,'50.17.60.190',1994-04-01 07:15:02 blue,26,Andrew,adunnp@pen.io,'123.52.253.176',2000-11-01 06:03:25 blue,27,David,dgutierrezq@wp.com,'238.23.203.42',1988-01-25 07:29:18 blue,28,Henry,hsanchezr@cyberchimps.com,'248.102.2.185',1983-01-01 13:36:37 blue,29,Evelyn,epetersons@gizmodo.com,'32.80.46.119',1979-07-16 17:24:12 blue,30,Tammy,tmitchellt@purevolume.com,'249.246.167.88',2001-04-03 10:00:23 blue,31,Jacqueline,jlittleu@domainmarket.com,'127.181.97.47',1986-02-11 21:35:50 blue,32,Earl,eortizv@opera.com,'166.47.248.240',1996-07-06 08:16:27 blue,33,Juan,jgordonw@sciencedirect.com,'71.77.2.200',1987-01-31 03:46:44 blue,34,Diane,dhowellx@nyu.edu,'140.94.133.12',1994-06-11 02:30:05 blue,35,Randy,rkennedyy@microsoft.com,'73.255.34.196',2005-05-26 20:28:39 blue,36,Janice,jriveraz@time.com,'22.214.227.32',1990-02-09 04:16:52 blue,37,Laura,lperry10@diigo.com,'159.148.145.73',2015-03-17 05:59:25 blue,38,Gary,gray11@statcounter.com,'40.193.124.56',1970-01-27 10:04:51 blue,39,Jesse,jmcdonald12@typepad.com,'31.7.86.103',2009-03-14 08:14:29 blue,40,Sandra,sgonzalez13@goodreads.com,'223.80.168.239',1993-05-21 14:08:54 blue,41,Scott,smoore14@archive.org,'38.238.46.83',1980-08-30 11:16:56 blue,42,Phillip,pevans15@cisco.com,'158.234.59.34',2011-12-15 23:26:31 blue,43,Steven,sriley16@google.ca,'90.247.57.68',2011-10-29 19:03:28 blue,44,Deborah,dbrown17@hexun.com,'179.125.143.240',1995-04-10 14:36:07 blue,45,Lori,lross18@ow.ly,'64.80.162.180',1980-12-27 16:49:15 blue,46,Sean,sjackson19@tumblr.com,'240.116.183.69',1988-06-12 21:24:45 blue,47,Terry,tbarnes1a@163.com,'118.38.213.137',1997-09-22 16:43:19 blue,48,Dorothy,dross1b@ebay.com,'116.81.76.49',2005-02-28 13:33:24 blue,49,Samuel,swashington1c@house.gov,'38.191.253.40',1989-01-19 21:15:48 blue,50,Ralph,rcarter1d@tinyurl.com,'104.84.60.174',2007-08-11 10:21:49 green,51,Wayne,whudson1e@princeton.edu,'90.61.24.102',1983-07-03 16:58:12 green,52,Rose,rjames1f@plala.or.jp,'240.83.81.10',1995-06-08 11:46:23 green,53,Louise,lcox1g@theglobeandmail.com,'105.11.82.145',2016-09-19 14:45:51 green,54,Kenneth,kjohnson1h@independent.co.uk,'139.5.45.94',1976-08-17 11:26:19 green,55,Donna,dbrown1i@amazon.co.uk,'19.45.169.45',2006-05-27 16:51:40 green,56,Johnny,jvasquez1j@trellian.com,'118.202.238.23',1975-11-17 08:42:32 green,57,Patrick,pramirez1k@tamu.edu,'231.25.153.198',1997-08-06 11:51:09 green,58,Helen,hlarson1l@prweb.com,'8.40.21.39',1993-08-04 19:53:40 green,59,Patricia,pspencer1m@gmpg.org,'212.198.40.15',1977-08-03 16:37:27 green,60,Joseph,jspencer1n@marriott.com,'13.15.63.238',2005-07-23 20:22:06 green,61,Phillip,pschmidt1o@blogtalkradio.com,'177.98.201.190',1976-05-19 21:47:44 green,62,Joan,jwebb1p@google.ru,'105.229.170.71',1972-09-07 17:53:47 green,63,Phyllis,pkennedy1q@imgur.com,'35.145.8.244',2000-01-01 22:33:37 green,64,Katherine,khunter1r@smh.com.au,'248.168.205.32',1991-01-09 06:40:24 green,65,Laura,lvasquez1s@wiley.com,'128.129.115.152',1997-10-23 12:04:56 green,66,Juan,jdunn1t@state.gov,'44.228.124.51',2004-11-10 05:07:35 green,67,Judith,jholmes1u@wiley.com,'40.227.179.115',1977-08-02 17:01:45 green,68,Beverly,bbaker1v@wufoo.com,'208.34.84.59',2016-03-06 20:07:23 green,69,Lawrence,lcarr1w@flickr.com,'59.158.212.223',1988-09-13 06:07:21 green,70,Gloria,gwilliams1x@mtv.com,'245.231.88.33',1995-03-18 22:32:46 green,71,Steven,ssims1y@cbslocal.com,'104.50.58.255',2001-08-05 21:26:20 green,72,Betty,bmills1z@arstechnica.com,'103.177.214.220',1981-12-14 21:26:54 green,73,Mildred,mfuller20@prnewswire.com,'151.158.8.130',2000-04-19 10:13:55 green,74,Donald,dday21@icq.com,'9.178.102.255',1972-12-03 00:58:24 green,75,Eric,ethomas22@addtoany.com,'85.2.241.227',1992-11-01 05:59:30 green,76,Joyce,jarmstrong23@sitemeter.com,'169.224.20.36',1985-10-24 06:50:01 green,77,Maria,mmartinez24@amazonaws.com,'143.189.167.135',2005-10-05 05:17:42 green,78,Harry,hburton25@youtube.com,'156.47.176.237',1978-03-26 05:53:33 green,79,Kevin,klawrence26@hao123.com,'79.136.183.83',1994-10-12 04:38:52 green,80,David,dhall27@prweb.com,'133.149.172.153',1976-12-15 16:24:24 green,81,Kathy,kperry28@twitter.com,'229.242.72.228',1979-03-04 02:58:56 green,82,Adam,aprice29@elegantthemes.com,'13.145.21.10',1982-11-07 11:46:59 green,83,Brandon,bgriffin2a@va.gov,'73.249.128.212',2013-10-30 05:30:36 green,84,Henry,hnguyen2b@discovery.com,'211.36.214.242',1985-01-09 06:37:27 green,85,Eric,esanchez2c@edublogs.org,'191.166.188.251',2004-05-01 23:21:42 green,86,Jason,jlee2d@jimdo.com,'193.92.16.182',1973-01-08 09:05:39 green,87,Diana,drichards2e@istockphoto.com,'19.130.175.245',1994-10-05 22:50:49 green,88,Andrea,awelch2f@abc.net.au,'94.155.233.96',2002-04-26 08:41:44 green,89,Louis,lwagner2g@miitbeian.gov.cn,'26.217.34.111',2003-08-25 07:56:39 green,90,Jane,jsims2h@seesaa.net,'43.4.220.135',1987-03-20 20:39:04 green,91,Larry,lgrant2i@si.edu,'97.126.79.34',2000-09-07 20:26:19 green,92,Louis,ldean2j@prnewswire.com,'37.148.40.127',2011-09-16 20:12:14 green,93,Jennifer,jcampbell2k@xing.com,'38.106.254.142',1988-07-15 05:06:49 green,94,Wayne,wcunningham2l@google.com.hk,'223.28.26.187',2009-12-15 06:16:54 green,95,Lori,lstevens2m@icq.com,'181.250.181.58',1984-10-28 03:29:19 green,96,Judy,jsimpson2n@marriott.com,'180.121.239.219',1986-02-07 15:18:10 green,97,Phillip,phoward2o@usa.gov,'255.247.0.175',2002-12-26 08:44:45 green,98,Gloria,gwalker2p@usa.gov,'156.140.7.128',1997-10-04 07:58:58 green,99,Paul,pjohnson2q@umn.edu,'183.59.198.197',1991-11-14 12:33:55 green,100,Frank,fgreene2r@blogspot.com,'150.143.68.121',2010-06-12 23:55:39 """ models__schema_yml = """ version: 2 sources: - name: my_source overrides: localdep schema: "{{ target.schema }}" database: "{{ target.database }}" freshness: error_after: {count: 3, period: day} tables: - name: my_table identifier: my_real_seed # on the override, the "color" column is only unique, it can be null! columns: - name: id tests: - not_null - unique - name: color tests: - unique - name: my_other_table identifier: my_real_other_seed - name: snapshot_freshness identifier: snapshot_freshness_base freshness: error_after: {count: 1, period: day} """ seeds__expected_result_csv = """letter,color c,cyan m,magenta y,yellow k,key """ seeds__my_real_other_seed_csv = """id,letter 1,c 2,m 3,y 4,k """ seeds__my_real_seed_csv = """id,color 1,cyan 2,magenta 3,yellow 4,key 5,NULL """ @pytest.fixture(scope="class") def local_dependency(): return { "dbt_project.yml": local_dependency__dbt_project_yml, "models": { "schema.yml": local_dependency__models__schema_yml, "my_model.sql": local_dependency__models__my_model_sql, }, "seeds": { "my_other_seed.csv": local_dependency__seeds__my_other_seed_csv, "my_seed.csv": local_dependency__seeds__my_seed_csv, "keep": { "never_fresh.csv": local_dependency__seeds__keep__never_fresh_csv, "snapshot_freshness_base.csv": local_dependency__seeds__keep__snapshot_freshness_base_csv, }, }, }

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py

Python

neuralcoref/cli/__init__.py

lukovnikov/neuralcoref

12874fece046eb513530d778766366a3d606158d

[ "MIT" ]

1

2019-04-03T12:08:48.000Z

neuralcoref/cli/__init__.py

Sivaneshmsc/neuralcoref

8c266c4ec9a5532c4998a85a21fbf2bbfc3b1485

[ "MIT" ]

null

neuralcoref/cli/__init__.py

Sivaneshmsc/neuralcoref

8c266c4ec9a5532c4998a85a21fbf2bbfc3b1485

[ "MIT" ]

null

from .package import package

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6

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py

Python

i8_ae/__init__.py

ShahabCypher/i8.ae

1b24556138e6dea80e9d0a7979b96f297748bf8b

[ "MIT" ]

null

i8_ae/__init__.py

ShahabCypher/i8.ae

1b24556138e6dea80e9d0a7979b96f297748bf8b

[ "MIT" ]

null

i8_ae/__init__.py

ShahabCypher/i8.ae

1b24556138e6dea80e9d0a7979b96f297748bf8b

[ "MIT" ]

null

from i8_ae.i8 import i8

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py

Python

drone_api_client/model/template.py

Slamnlc/drone-api-client

ffd4cee4b118144f89621a2be1ee3a75938851e7

[ "MIT" ]

null

drone_api_client/model/template.py

Slamnlc/drone-api-client

ffd4cee4b118144f89621a2be1ee3a75938851e7

[ "MIT" ]

null

drone_api_client/model/template.py

Slamnlc/drone-api-client

ffd4cee4b118144f89621a2be1ee3a75938851e7

[ "MIT" ]

null

class DroneTemplate: __attr__ = ('id', 'name', 'namespace', 'data') def __init__(self, data: dict): self._data = data @property def id(self): return self._data.get('id') @property def name(self): return self._data.get('name') @property def namespace(self): return self._data.get('namespace') @property def data(self): return self._data.get('data')

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6

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103

py

Python

thor/spdy/__init__.py

alex-stefa/thor

a4f9ad7b35b824639a836e27eda7e6c1c6f34e22

[ "Unlicense" ]

null

thor/spdy/__init__.py

alex-stefa/thor

a4f9ad7b35b824639a836e27eda7e6c1c6f34e22

[ "Unlicense" ]

null

thor/spdy/__init__.py

alex-stefa/thor

a4f9ad7b35b824639a836e27eda7e6c1c6f34e22

[ "Unlicense" ]

null

#!/usr/bin/env python from thor.spdy.client import SpdyClient from thor.spdy.server import SpdyServer

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py

Python

tests/test_format.py

knowark/validark

bab931768671ab92f3d495a9254801e42af621a8

[ "MIT" ]

null

tests/test_format.py

knowark/validark

bab931768671ab92f3d495a9254801e42af621a8

[ "MIT" ]

null

tests/test_format.py

knowark/validark

bab931768671ab92f3d495a9254801e42af621a8

[ "MIT" ]

null

from validark import camel_to_snake, snake_to_camel, normalize def test_camel_to_snake(): assert camel_to_snake('theBrownFox') == 'the_brown_fox' assert camel_to_snake('TheBrownFox') == 'the_brown_fox' assert camel_to_snake('the_brown_fox') == 'the_brown_fox' def test_snake_to_camel(): assert snake_to_camel('the_brown_fox') == 'theBrownFox' assert snake_to_camel('the_Brown_fox') == 'theBrownFox' assert snake_to_camel('The_Brown_Fox') == 'theBrownFox' assert snake_to_camel('theBrownFox') == 'theBrownFox' def test_snake_normalize_simple(): snake_data = normalize({ 'userId': '001', 'name': 'Jhon Doe', 'accountId': '7890' }, 'snake') assert snake_data == { 'user_id': '001', 'name': 'Jhon Doe', 'account_id': '7890' } def test_snake_normalize_nested(): snake_data = normalize({ 'userId': '001', 'address': { 'city': 'Popayán', 'zipCode': 190002 }, 'name': 'Jhon Doe', 'accountId': '7890' }, 'snake') assert snake_data == { 'user_id': '001', 'address': { 'city': 'Popayán', 'zip_code': 190002 }, 'name': 'Jhon Doe', 'account_id': '7890' } def test_snake_normalize_deep_nested(): snake_data = normalize({ 'userId': '001', 'address': { 'city': 'Popayán', 'zipCode': 190002, 'neighborhood': { 'zone': 'A', 'hubLocality': 'Lake Ville' } }, 'name': 'Jhon Doe', 'accountId': '7890' }, 'snake') assert snake_data == { 'user_id': '001', 'address': { 'city': 'Popayán', 'zip_code': 190002, 'neighborhood': { 'zone': 'A', 'hub_locality': 'Lake Ville' } }, 'name': 'Jhon Doe', 'account_id': '7890' } def test_snake_normalize_list(): snake_data = normalize({ 'userId': '001', 'name': 'Jhon Doe', 'accountId': '7890', 'contacts': [ {'userId': '002', 'name': 'Mark', 'phoneNumber': '2222'}, {'userId': '003', 'name': 'Brad', 'phoneNumber': '3333'}, {'userId': '004', 'name': 'Carl', 'phoneNumber': '4444'}, ] }, 'snake') assert snake_data == { 'user_id': '001', 'name': 'Jhon Doe', 'account_id': '7890', 'contacts': [ {'user_id': '002', 'name': 'Mark', 'phone_number': '2222'}, {'user_id': '003', 'name': 'Brad', 'phone_number': '3333'}, {'user_id': '004', 'name': 'Carl', 'phone_number': '4444'} ] } def test_camel_normalize_complex(): camel_data = normalize({ 'user_id': '001', 'name': 'Jhon Doe', 'account_id': '7890', 'contacts': [ {'user_id': '002', 'name': 'Mark', 'phone_number': '2222'}, {'user_id': '003', 'name': 'Brad', 'phone_number': '3333'}, {'user_id': '004', 'name': 'Carl', 'phone_number': '4444'} ] }) assert camel_data == { 'userId': '001', 'name': 'Jhon Doe', 'accountId': '7890', 'contacts': [ {'userId': '002', 'name': 'Mark', 'phoneNumber': '2222'}, {'userId': '003', 'name': 'Brad', 'phoneNumber': '3333'}, {'userId': '004', 'name': 'Carl', 'phoneNumber': '4444'} ] } def test_camel_normalize_list(): camel_data = normalize([ {'user_id': '002', 'name': 'Mark', 'phone_number': '2222'}, {'user_id': '003', 'name': 'Brad', 'phone_number': '3333'}, {'user_id': '004', 'name': 'Carl', 'phone_number': '4444'} ]) assert camel_data == [ {'userId': '002', 'name': 'Mark', 'phoneNumber': '2222'}, {'userId': '003', 'name': 'Brad', 'phoneNumber': '3333'}, {'userId': '004', 'name': 'Carl', 'phoneNumber': '4444'} ] def test_camel_normalize_primitives(): camel_data = normalize([ {'user_id': '002', 'name': 'Mark', 'phone_number': '2222'}, "admin", 5 ]) assert camel_data == [ {'userId': '002', 'name': 'Mark', 'phoneNumber': '2222'}, "admin", 5 ] def test_camel_normalize_none(): camel_data = normalize(None) assert camel_data is None

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py

Python

tries/test/plots/get_keys_prefix.py

hpaucar/datastructures-ii-repo

203dbafcd4bb82a4214f93e21f15b3be89cea76c

[ "MIT" ]

null

tries/test/plots/get_keys_prefix.py

hpaucar/datastructures-ii-repo

203dbafcd4bb82a4214f93e21f15b3be89cea76c

[ "MIT" ]

null

tries/test/plots/get_keys_prefix.py

hpaucar/datastructures-ii-repo

203dbafcd4bb82a4214f93e21f15b3be89cea76c

[ "MIT" ]

null

#!/usr/bin/env python2.7 from numpy import * from pylab import * from matplotlib import rc, rcParams trie = genfromtxt('../data/trie_get_keys_prefix.output') tst = genfromtxt('../data/tst_get_keys_prefix.output') radix = genfromtxt('../data/radix_get_keys_prefix.output') _map = genfromtxt('../data/map_get_keys_prefix.output') umap = genfromtxt('../data/umap_get_keys_prefix.output') ######## TIME ######## plot(trie[:,0], trie[:,1], '-o', label='Trie') hold(True) plot(tst[:,0], tst[:,1], '-o', label='Ternary Search Tree') plot(radix[:,0], radix[:,1], '-o', label='Radix Tree') plot(_map[:,0], _map[:,1], '-o', label='STL ordered Map') plot(umap[:,0], umap[:,1], '-o', label='STL unordered Map') xlabel('Max length of the string') ylabel('Time(ms)') title('Get keys prefix') legend(loc='best') grid(True) savefig('../images/get_keys_prefix/random/get_keys_prefix_time_ALL.eps') hold(False) plot(tst[:,0], tst[:,1], '-o', label='Ternary Search Tree') hold(True) plot(radix[:,0], radix[:,1], '-o', label='Radix Tree') plot(_map[:,0], _map[:,1], '-o', label='STL ordered Map') plot(umap[:,0], umap[:,1], '-o', label='STL unordered Map') xlabel('Max length of the string') ylabel('Time(ms)') title('Get keys prefix') legend(loc='best') grid(True) savefig('../images/get_keys_prefix/random/get_keys_prefix_time_TRMU.eps') hold(False) plot(radix[:,0], radix[:,1], '-o', label='Radix Tree') hold(True) plot(_map[:,0], _map[:,1], '-o', label='STL ordered Map') plot(umap[:,0], umap[:,1], '-o', label='STL unordered Map') xlabel('Max length of the string') ylabel('Time(ms)') title('Get keys prefix') legend(loc='best') grid(True) savefig('../images/get_keys_prefix/random/get_keys_prefix_time_RMU.eps') hold(False) plot(trie[:,0], trie[:,1], '-o', label='Trie') hold(True) plot(tst[:,0], tst[:,1], '-o', label='Ternary Search Tree') plot(radix[:,0], radix[:,1], '-o', label='Radix Tree') xlabel('Max length of the string') ylabel('Time(ms)') title('Get keys prefix') legend(loc='best') grid(True) savefig('../images/get_keys_prefix/random/get_keys_prefix_time_TTR.eps')

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py

Python

tensorflow_checkpoint_reader/pb/tensorflow/core/framework/api_def_pb2.py

shawwn/tensorflow-checkpoint-reader

f0e65548411e3bd66a07e36bb1850907a05952d0

[ "MIT" ]

1

2021-12-02T15:06:09.000Z

tensorflow_checkpoint_reader/pb/tensorflow/core/framework/api_def_pb2.py

shawwn/tensorflow-checkpoint-reader

f0e65548411e3bd66a07e36bb1850907a05952d0

[ "MIT" ]

null

tensorflow_checkpoint_reader/pb/tensorflow/core/framework/api_def_pb2.py

shawwn/tensorflow-checkpoint-reader

f0e65548411e3bd66a07e36bb1850907a05952d0

[ "MIT" ]

null

'Generated protocol buffer code.' from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database _sym_db = _symbol_database.Default() from ....tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr__value__pb2 DESCRIPTOR = _descriptor.FileDescriptor(name='tensorflow/core/framework/api_def.proto', package='tensorflow', syntax='proto3', serialized_options=b'\n\x18org.tensorflow.frameworkB\x0cApiDefProtosP\x01ZNgithub.com/tensorflow/tensorflow/tensorflow/go/core/framework/api_def_go_proto\xf8\x01\x01', create_key=_descriptor._internal_create_key, serialized_pb=b'\n\'tensorflow/core/framework/api_def.proto\x12\ntensorflow\x1a*tensorflow/core/framework/attr_value.proto"\xe1\x05\n\x06ApiDef\x12\x15\n\rgraph_op_name\x18\x01 \x01(\t\x12\x1b\n\x13deprecation_message\x18\x0c \x01(\t\x12\x1b\n\x13deprecation_version\x18\r \x01(\x05\x121\n\nvisibility\x18\x02 \x01(\x0e2\x1d.tensorflow.ApiDef.Visibility\x12-\n\x08endpoint\x18\x03 \x03(\x0b2\x1b.tensorflow.ApiDef.Endpoint\x12&\n\x06in_arg\x18\x04 \x03(\x0b2\x16.tensorflow.ApiDef.Arg\x12\'\n\x07out_arg\x18\x05 \x03(\x0b2\x16.tensorflow.ApiDef.Arg\x12\x11\n\targ_order\x18\x0b \x03(\t\x12%\n\x04attr\x18\x06 \x03(\x0b2\x17.tensorflow.ApiDef.Attr\x12\x0f\n\x07summary\x18\x07 \x01(\t\x12\x13\n\x0bdescription\x18\x08 \x01(\t\x12\x1a\n\x12description_prefix\x18\t \x01(\t\x12\x1a\n\x12description_suffix\x18\n \x01(\t\x1aI\n\x08Endpoint\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x12\n\ndeprecated\x18\x03 \x01(\x08\x12\x1b\n\x13deprecation_version\x18\x04 \x01(\x05\x1a;\n\x03Arg\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x11\n\trename_to\x18\x02 \x01(\t\x12\x13\n\x0bdescription\x18\x03 \x01(\t\x1aj\n\x04Attr\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x11\n\trename_to\x18\x02 \x01(\t\x12,\n\rdefault_value\x18\x03 \x01(\x0b2\x15.tensorflow.AttrValue\x12\x13\n\x0bdescription\x18\x04 \x01(\t"G\n\nVisibility\x12\x16\n\x12DEFAULT_VISIBILITY\x10\x00\x12\x0b\n\x07VISIBLE\x10\x01\x12\x08\n\x04SKIP\x10\x02\x12\n\n\x06HIDDEN\x10\x03")\n\x07ApiDefs\x12\x1e\n\x02op\x18\x01 \x03(\x0b2\x12.tensorflow.ApiDefB}\n\x18org.tensorflow.frameworkB\x0cApiDefProtosP\x01ZNgithub.com/tensorflow/tensorflow/tensorflow/go/core/framework/api_def_go_proto\xf8\x01\x01b\x06proto3', dependencies=[tensorflow_dot_core_dot_framework_dot_attr__value__pb2.DESCRIPTOR]) _APIDEF_VISIBILITY = _descriptor.EnumDescriptor(name='Visibility', full_name='tensorflow.ApiDef.Visibility', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[_descriptor.EnumValueDescriptor(name='DEFAULT_VISIBILITY', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor(name='VISIBLE', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor(name='SKIP', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor(name='HIDDEN', index=3, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key)], containing_type=None, serialized_options=None, serialized_start=766, serialized_end=837) _sym_db.RegisterEnumDescriptor(_APIDEF_VISIBILITY) _APIDEF_ENDPOINT = _descriptor.Descriptor(name='Endpoint', full_name='tensorflow.ApiDef.Endpoint', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='name', full_name='tensorflow.ApiDef.Endpoint.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='deprecated', full_name='tensorflow.ApiDef.Endpoint.deprecated', index=1, number=3, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='deprecation_version', full_name='tensorflow.ApiDef.Endpoint.deprecation_version', index=2, number=4, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=522, serialized_end=595) _APIDEF_ARG = _descriptor.Descriptor(name='Arg', full_name='tensorflow.ApiDef.Arg', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='name', full_name='tensorflow.ApiDef.Arg.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='rename_to', full_name='tensorflow.ApiDef.Arg.rename_to', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='description', full_name='tensorflow.ApiDef.Arg.description', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=597, serialized_end=656) _APIDEF_ATTR = _descriptor.Descriptor(name='Attr', full_name='tensorflow.ApiDef.Attr', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='name', full_name='tensorflow.ApiDef.Attr.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='rename_to', full_name='tensorflow.ApiDef.Attr.rename_to', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='default_value', full_name='tensorflow.ApiDef.Attr.default_value', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='description', full_name='tensorflow.ApiDef.Attr.description', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=658, serialized_end=764) _APIDEF = _descriptor.Descriptor(name='ApiDef', full_name='tensorflow.ApiDef', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='graph_op_name', full_name='tensorflow.ApiDef.graph_op_name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='deprecation_message', full_name='tensorflow.ApiDef.deprecation_message', index=1, number=12, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='deprecation_version', full_name='tensorflow.ApiDef.deprecation_version', index=2, number=13, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='visibility', full_name='tensorflow.ApiDef.visibility', index=3, number=2, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='endpoint', full_name='tensorflow.ApiDef.endpoint', index=4, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='in_arg', full_name='tensorflow.ApiDef.in_arg', index=5, number=4, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='out_arg', full_name='tensorflow.ApiDef.out_arg', index=6, number=5, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='arg_order', full_name='tensorflow.ApiDef.arg_order', index=7, number=11, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='attr', full_name='tensorflow.ApiDef.attr', index=8, number=6, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='summary', full_name='tensorflow.ApiDef.summary', index=9, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='description', full_name='tensorflow.ApiDef.description', index=10, number=8, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='description_prefix', full_name='tensorflow.ApiDef.description_prefix', index=11, number=9, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor(name='description_suffix', full_name='tensorflow.ApiDef.description_suffix', index=12, number=10, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b''.decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[_APIDEF_ENDPOINT, _APIDEF_ARG, _APIDEF_ATTR], enum_types=[_APIDEF_VISIBILITY], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=100, serialized_end=837) _APIDEFS = _descriptor.Descriptor(name='ApiDefs', full_name='tensorflow.ApiDefs', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[_descriptor.FieldDescriptor(name='op', full_name='tensorflow.ApiDefs.op', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key)], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[], serialized_start=839, serialized_end=880) _APIDEF_ENDPOINT.containing_type = _APIDEF _APIDEF_ARG.containing_type = _APIDEF _APIDEF_ATTR.fields_by_name['default_value'].message_type = tensorflow_dot_core_dot_framework_dot_attr__value__pb2._ATTRVALUE _APIDEF_ATTR.containing_type = _APIDEF _APIDEF.fields_by_name['visibility'].enum_type = _APIDEF_VISIBILITY _APIDEF.fields_by_name['endpoint'].message_type = _APIDEF_ENDPOINT _APIDEF.fields_by_name['in_arg'].message_type = _APIDEF_ARG _APIDEF.fields_by_name['out_arg'].message_type = _APIDEF_ARG _APIDEF.fields_by_name['attr'].message_type = _APIDEF_ATTR _APIDEF_VISIBILITY.containing_type = _APIDEF _APIDEFS.fields_by_name['op'].message_type = _APIDEF DESCRIPTOR.message_types_by_name['ApiDef'] = _APIDEF DESCRIPTOR.message_types_by_name['ApiDefs'] = _APIDEFS _sym_db.RegisterFileDescriptor(DESCRIPTOR) ApiDef = _reflection.GeneratedProtocolMessageType('ApiDef', (_message.Message,), {'Endpoint': _reflection.GeneratedProtocolMessageType('Endpoint', (_message.Message,), {'DESCRIPTOR': _APIDEF_ENDPOINT, '__module__': 'tensorflow.core.framework.api_def_pb2'}), 'Arg': _reflection.GeneratedProtocolMessageType('Arg', (_message.Message,), {'DESCRIPTOR': _APIDEF_ARG, '__module__': 'tensorflow.core.framework.api_def_pb2'}), 'Attr': _reflection.GeneratedProtocolMessageType('Attr', (_message.Message,), {'DESCRIPTOR': _APIDEF_ATTR, '__module__': 'tensorflow.core.framework.api_def_pb2'}), 'DESCRIPTOR': _APIDEF, '__module__': 'tensorflow.core.framework.api_def_pb2'}) _sym_db.RegisterMessage(ApiDef) _sym_db.RegisterMessage(ApiDef.Endpoint) _sym_db.RegisterMessage(ApiDef.Arg) _sym_db.RegisterMessage(ApiDef.Attr) ApiDefs = _reflection.GeneratedProtocolMessageType('ApiDefs', (_message.Message,), {'DESCRIPTOR': _APIDEFS, '__module__': 'tensorflow.core.framework.api_def_pb2'}) _sym_db.RegisterMessage(ApiDefs) DESCRIPTOR._options = None

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6

1e3ef1151e539719b27f7e56b56d8a3e9e0a31ad

35

py

Python

febio_python/xplt/__init__.py

Nobregaigor/febio-python

6895b4e2f8959444a66b6f77a000ce193c3357a7

[ "MIT" ]

null

febio_python/xplt/__init__.py

Nobregaigor/febio-python

6895b4e2f8959444a66b6f77a000ce193c3357a7

[ "MIT" ]

null

febio_python/xplt/__init__.py

Nobregaigor/febio-python

6895b4e2f8959444a66b6f77a000ce193c3357a7

[ "MIT" ]

null

from .xplt_parser import read_xplt

17.5

34

0.857143

6

35

4.666667

0.833333

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0.114286

35

1

35

0.903226

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null

0

1

0

1

0

1

0

6

1e6a65aa837865df4b7fe5df02dc4c990e224da1

23,910

py

Python

world/views.py

Manzanero/bardo-web

ce60f3590501adccfa6444a6b2abf0a9d141fbf7

[ "MIT" ]

null

world/views.py

Manzanero/bardo-web

ce60f3590501adccfa6444a6b2abf0a9d141fbf7

[ "MIT" ]

null

world/views.py

Manzanero/bardo-web

ce60f3590501adccfa6444a6b2abf0a9d141fbf7

[ "MIT" ]

null

import json from datetime import datetime from json.decoder import JSONDecodeError from django.db.models import Q from django.http import JsonResponse, Http404 from django.shortcuts import get_object_or_404 from django.utils import timezone from django.views.decorators.csrf import csrf_exempt from django.views.decorators.http import require_http_methods from utils.decorators import require_basic_auth, redirect_preflight from utils.exceptions import get_stacktrace_str from world.models import Campaign, Map, Action, CampaignProperty, MapProperty @redirect_preflight @require_basic_auth @require_http_methods(["GET"]) def load_world(request): try: campaigns = Campaign.objects.all().order_by('name') response = { 'status': 200, 'message': f'World loaded', 'world': { 'campaigns': [{'name': x.name, 'id': x.campaign_id} for x in campaigns] } } except Http404 as e: response = {'status': 404, 'message': str(e)} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @redirect_preflight @require_basic_auth @require_http_methods(["GET"]) def load_campaign(request, campaign_id): try: campaign = get_object_or_404(Campaign, campaign_id=campaign_id) user_properties = CampaignProperty.objects.filter(campaign=campaign, user=request.user) properties = [{'name': x.name, 'value': x.value} for x in user_properties] property_names = [p.name for p in user_properties] default_properties = CampaignProperty.objects.filter(campaign=campaign, user__isnull=True) for p in default_properties: if p.name not in property_names: properties.append({'name': p.name, 'value': p.value}) players = [x.user for x in CampaignProperty.objects.filter(campaign=campaign, name='IS_PLAYER')] master_name = get_object_or_404(CampaignProperty, campaign=campaign, name='IS_MASTER').user.username response = { 'status': 200, 'message': f'Campaign loaded (name={campaign.name}, id={campaign.campaign_id})', 'date': timezone.localtime(campaign.updated).isoformat(timespec='microseconds'), 'campaign': { 'properties': properties, 'maps': [{'name': x.name, 'id': x.map_id} for x in campaign.map_set.order_by('name')], 'players': [{'name': x.username, 'id': x.id, 'master': x.username == master_name} for x in players], } } except Http404 as e: response = {'status': 404, 'message': str(e)} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @redirect_preflight @require_basic_auth @require_http_methods(["GET"]) def load_campaign_property(request, campaign_id, property_name): try: campaign = get_object_or_404(Campaign, campaign_id=campaign_id) props = CampaignProperty.objects.filter(campaign=campaign, user=request.user, name=property_name) prop = props[0] if props else get_object_or_404(CampaignProperty, campaign=campaign, user=None, name=property_name) response = { 'status': 200, 'message': f'Campaign Property loaded (campaign_name={campaign.name}, name={property_name})', 'campaign': {'properties': [{'name': prop.name, 'value': prop.value}]} } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, property={property_name}'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["POST"]) def save_campaign_property(request, campaign_id, property_name): try: campaign = get_object_or_404(Campaign, campaign_id=campaign_id) prop = CampaignProperty.objects.get_or_create(campaign=campaign, user=request.user, name=property_name)[0] prop.name = property_name prop.value = request.body.decode('utf-8') prop.save() response = { 'status': 200, 'message': f'Campaign Property saved (campaign_name={campaign.name}, ' f'name={property_name}, value={prop.value})', } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id})'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["POST"]) def default_campaign_property(request, campaign_id, property_name): try: campaign = get_object_or_404(Campaign, campaign_id=campaign_id) prop = CampaignProperty.objects.get_or_create(campaign=campaign, user=None, name=property_name)[0] prop.name = property_name prop.value = request.body.decode('utf-8') prop.save() response = { 'status': 200, 'message': f'Campaign Property default (campaign_name={campaign.name}, ' f'name={property_name}, value={prop.value})', } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id})'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["DELETE"]) def delete_campaign_property(request, campaign_id, property_name): try: campaign = get_object_or_404(Campaign, campaign_id=campaign_id) prop = get_object_or_404(CampaignProperty, campaign=campaign, user=request.user, name=property_name) prop.delete() response = { 'status': 200, 'message': f'Campaign Property deleted (campaign_name={campaign.name})', } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, name={property_name})'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["POST"]) def save_map_property(request, campaign_id, map_id, property_name): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) prop = MapProperty.objects.get_or_create(map=tile_map, user=request.user, name=property_name)[0] prop.value = request.body.decode('utf-8') prop.save() response = { 'status': 200, 'message': f'Map Property saved (map_name={tile_map.name}, name={property_name}, value={prop.value})', } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, map={map_id})'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["POST"]) def default_map_property(request, campaign_id, map_id, property_name): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) prop = MapProperty.objects.get_or_create(map=tile_map, user=None, name=property_name)[0] prop.value = request.body.decode('utf-8') prop.save() response = { 'status': 200, 'message': f'Map Property default (map_name={tile_map.name}, name={property_name}, value={prop.value})', } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, map={map_id})'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["DELETE"]) def delete_map_property(request, campaign_id, map_id, property_name): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) prop = get_object_or_404(MapProperty, map=tile_map, user=request.user, name=property_name) prop.delete() response = { 'status': 200, 'message': f'Map Property deleted (map_name={tile_map.name}, name={property_name})', } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, map={map_id}, name={property_name}'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @redirect_preflight @require_basic_auth @require_http_methods(["GET"]) def load_map(request, campaign_id, map_id): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) response = { 'status': 200, 'message': f'Map loaded (name={tile_map.name}, id={map_id})', 'date': timezone.localtime(tile_map.saved).isoformat(timespec='microseconds'), 'map': json.loads(tile_map.data) } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, map={map_id})'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @redirect_preflight @require_basic_auth @require_http_methods(["GET"]) def load_map_properties(request, campaign_id, map_id): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) # user_properties = MapProperty.objects.filter(map=tile_map, user=request.user) # properties = [{'name': x.name, 'value': x.value} for x in user_properties] # property_names = [p.name for p in user_properties] # default_properties = MapProperty.objects.filter(map=tile_map, user__isnull=True) # for p in default_properties: # if p.name not in property_names: # properties.append({'name': p.name, 'value': p.value}) user_properties = MapProperty.objects.filter(Q(map=tile_map, user=request.user) | Q(map=tile_map, user__isnull=True)) properties = [{'name': x.name, 'value': x.value} for x in user_properties] response = { 'status': 200, 'message': f'Map Properties loaded (len={len(properties)})', 'date': timezone.localtime(tile_map.saved).isoformat(timespec='microseconds'), 'properties': properties } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, map={map_id}'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @redirect_preflight @require_basic_auth @require_http_methods(["GET"]) def load_map_properties_for_user(request, campaign_id, map_id, user_id): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) user_properties = MapProperty.objects.filter(Q(map=tile_map, user_id=user_id) | Q(map=tile_map, user__isnull=True)) properties = [{'name': x.name, 'value': x.value} for x in user_properties] response = { 'status': 200, 'message': f'Map Properties loaded (len={len(properties)})', 'date': timezone.localtime(tile_map.saved).isoformat(timespec='microseconds'), 'properties': properties } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, map={map_id}'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) PERMISSIONS = [ "SHARED_NAME", "SHARED_POSITION", "SHARED_VISION", "SHARED_CONTROL", "SHARED_HEALTH", "SHARED_STAMINA", "SHARED_MANA", ] @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["POST"]) def reset_permissions(request, campaign_id, map_id): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) entities = json.loads(request.body.decode('utf-8'))['entities'] MapProperty.objects.filter(map=tile_map, name__in=PERMISSIONS, value__in=entities).delete() response = { 'status': 200, 'message': f'Map Permissions reset for entities (id__in={entities})', } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, map={map_id})'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["POST"]) def default_permissions(request, campaign_id, map_id): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) data = json.loads(request.body.decode('utf-8')) entities = data['entities'] players = data['players'] if players: MapProperty.objects.filter(map=tile_map, user_id__in=players, name__in=PERMISSIONS, value__in=entities).delete() else: MapProperty.objects.filter(map=tile_map, user__isnull=True, name__in=PERMISSIONS, value__in=entities).delete() response = { 'status': 200, 'message': f'Map Permissions default for entities (id__in={entities})', } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, map={map_id})'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["POST"]) def map_permissions(request, campaign_id, map_id): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) permissions = json.loads(request.body.decode('utf-8'))['permissions'] player_reset = [] for permission in permissions: entity = permission['entity'] player = permission['player'] perm = permission['permission'] property_name = { 'name': 'SHARED_NAME', 'position': 'SHARED_POSITION', 'vision': 'SHARED_VISION', 'control': 'SHARED_CONTROL', 'health': 'SHARED_HEALTH', 'stamina': 'SHARED_STAMINA', 'mana': 'SHARED_MANA', }[perm] if player not in player_reset: if player: MapProperty.objects.filter(map=tile_map, user_id=player, name__in=PERMISSIONS, value=entity).delete() else: MapProperty.objects.filter(map=tile_map, user__isnull=True, name__in=PERMISSIONS, value=entity).delete() player_reset.append(player) if player: MapProperty.objects.get_or_create(map=tile_map, user_id=player, name=property_name, value=entity)[0].save() else: MapProperty.objects.get_or_create(map=tile_map, user__isnull=True, name=property_name, value=entity)[0].save() response = { 'status': 200, 'message': f'Map Permissions updates (len={len(permissions)})', } except Http404 as e: response = {'status': 404, 'message': str(e) + f' (campaign={campaign_id}, map={map_id})'} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["POST"]) def save_map(request, campaign_id, map_id): try: campaign = get_object_or_404(Campaign, campaign_id=campaign_id) tile_map = Map.objects.get_or_create(campaign=campaign, map_id=map_id)[0] json_data = request.body.decode('utf-8') data = json.loads(json_data) tile_map.name = data['name'] tile_map.data = json_data tile_map.saved = timezone.now() tile_map.save() response = { 'status': 200, 'message': f'Map saved (name={tile_map.name}, id={map_id})', 'date': timezone.localtime(tile_map.saved).isoformat(timespec='microseconds'), } except Http404 as e: response = {'status': 404, 'message': str(e)} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["DELETE"]) def delete_map(request, campaign_id, map_id): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) tile_map.delete() response = { 'status': 200, 'message': f'Map deleted (name={tile_map.name}, id={map_id})', } except Http404 as e: response = {'status': 404, 'message': str(e)} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @redirect_preflight @require_basic_auth @require_http_methods(["GET"]) def map_actions(request, campaign_id, map_id): try: tile_map = get_object_or_404(Map, campaign__campaign_id=campaign_id, map_id=map_id) actions = tile_map.action_set.all().filter(created__gt=tile_map.saved) date = timezone.localtime( actions.last().created if actions else tile_map.saved).isoformat(timespec='microseconds') response = { 'status': 200, 'message': f'Actions loaded (len={len(actions)})', 'date': date, 'actions': [json.loads(x.data) for x in actions], } except Http404 as e: response = {'status': 404, 'message': str(e)} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["POST"]) def update_actions(request, campaign_id, datetime_iso: str): try: campaign = get_object_or_404(Campaign, campaign_id=campaign_id) data = request.body.decode('utf-8') actions_post = json.loads(data)['actions'] if data else [] for action in actions_post: if action.get('map'): tile_map = get_object_or_404(Map, campaign=campaign, map_id=action['map']) Action.objects.create(campaign=campaign, map=tile_map, user=request.user, data=json.dumps(action)) else: Action.objects.create(campaign=campaign, user=request.user, data=json.dumps(action)) actions = Action.objects.filter(campaign=campaign, created__gt=datetime.fromisoformat(datetime_iso)) date = timezone.localtime(actions.last().created).isoformat(timespec='microseconds') if actions else datetime_iso actions = list(actions.exclude(user=request.user)) response = { 'status': 200, 'message': f'Actions loaded (len={len(actions_post)}). Actions downloaded (len={len(actions)})', 'date': date, 'actions': [json.loads(x.data) for x in actions], } except Http404 as e: response = {'status': 404, 'message': str(e)} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status']) @csrf_exempt @redirect_preflight @require_basic_auth @require_http_methods(["DELETE"]) def reset_actions(request, campaign_id): try: campaign = get_object_or_404(Campaign, campaign_id=campaign_id) actions = list(campaign.action_set.all()) for action in actions: action.delete() response = { 'status': 200, 'message': f'Actions deleted (len={len(actions)})', } except Http404 as e: response = {'status': 404, 'message': str(e)} except JSONDecodeError as e: response = {'status': 400, 'message': "JSONDecodeError: " + str(e)} except Exception as e: response = {'status': 500, 'message': get_stacktrace_str(e)} return JsonResponse(response, safe=False, status=response['status'])

41.655052

121

0.640067

2,840

23,910

5.174296

0.048944

0.095271

0.044913

0.069411

0.847023

0.837428

0.806261

0.767744

0.743178

0.726301

0

0.02146

0.230197

23,910

573

122

41.727749

0.776921

0.017231

0

0.670683

0

0.167561

0.038101

0

1

0.040161

false

0

0.024096

0

0.104418

0

null

0

1

0

null

0

6

1ed38d1a331f5d5bc1ed93f54d27d24efb44d805

178

py

Python

ermaket/api/generation/templates/__init__.tmpl.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

ermaket/api/generation/templates/__init__.tmpl.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

ermaket/api/generation/templates/__init__.tmpl.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

{% if import_base %} from .base import * {% endif %} {% if import_system %} from .system_user import * from .system_user_has_role import * from .system_role import * {% endif %}

19.777778

35

0.696629

25

178

4.68

0.36

0.25641

0.239316

0

0.168539

178

8

36

22.25

0.790541

0

0.25

0

null

0

0.75

null

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

94a1054b9d186cc98f5f64916dff280cbd10810f

14,864

py

Python

src/colorviews/views.py

ju-sh/colorviews

b9757dd3a799d68bd89966852f36f06f21e36072

[ "MIT" ]

5

2021-06-10T21:12:16.000Z

2022-01-14T05:04:03.000Z

src/colorviews/views.py

ju-sh/colorviews

b9757dd3a799d68bd89966852f36f06f21e36072

[ "MIT" ]

null

src/colorviews/views.py

ju-sh/colorviews

b9757dd3a799d68bd89966852f36f06f21e36072

[ "MIT" ]

null

""" ColorView classes for Color and AlphaColor objects For Color: - ColorViewRGB - ColorViewHSL - ColorViewHSV For AlphaColor: - ColorViewRGBA - ColorViewHSLA - ColorViewHSVA """ import colorsys from typing import cast, List, Sequence, TYPE_CHECKING import colorviews.utils as utils if TYPE_CHECKING: import colorviews.colors as colors class BaseColorView: """ Base class of all ColorView classes. """ __slots__ = ["color"] def __init__(self, color: "colors.BaseColor"): self.color = color class BaseAlphaColorView(BaseColorView): """ Base class of all ColorView classes with alpha value. """ __slots__: List[str] = [] @property def a(self) -> float: """Alpha component as a float value""" self.color = cast("colors.AlphaColor", self.color) return self.color._a @a.setter def a(self, val: float): utils.validate(val) self.color = cast("colors.AlphaColor", self.color) self.color._a = val class BaseColorViewRGB(BaseColorView): """ Base class of ColorViewRGB and ColorViewRGBA classes. """ __slots__: List[str] = [] @property def r(self) -> float: """Red component as a float value""" return self.color._r @r.setter def r(self, val: float): utils.validate(val) self.color._r = val @property def g(self) -> float: """Green component as a float value""" return self.color._g @g.setter def g(self, val: float): utils.validate(val) self.color._g = val @property def b(self) -> float: """Blue component as a float value""" return self.color._b @b.setter def b(self, val: float): utils.validate(val) self.color._b = val class ColorViewRGB(BaseColorViewRGB): """ RGB view of Color objects in float values """ __slots__: List[str] = [] @property def vals(self) -> Sequence[float]: """ Tuple of RGB values as floats. """ return tuple(self) @vals.setter def vals(self, values: Sequence[float]): if len(values) != 3: raise ValueError("Needs exactly 3 floats") utils.validate(values[0]) utils.validate(values[1]) utils.validate(values[2]) self.r, self.g, self.b = values def __iter__(self): yield from [self.r, self.g, self.b] def replace(self, r=None, g=None, b=None) -> "colors.Color": """ Create a new Color object by replacing the RGB values of the Color object associated with the colorview. Arguments: r: Red component of RGB value as a float in the range [0, 0.1]. g: Green component of RGB value as a float in the range [0, 0.1]. b: Blue component of RGB value as a float in the range [0, 0.1]. Returns: Color object with modified RGB values. """ if r is None: r = self.r if g is None: g = self.g if b is None: b = self.b self.color = cast("colors.Color", self.color) return self.color.from_rgb(r, g, b) class ColorViewRGBA(BaseColorViewRGB, BaseAlphaColorView): """ RGBA view of Color objects in float values """ __slots__: List[str] = [] @property def vals(self) -> Sequence[float]: """ Tuple of RGBA values as floats. """ return tuple(self) @vals.setter def vals(self, values: Sequence[float]): if len(values) != 4: raise ValueError("Needs exactly 4 floats") utils.validate(values[0]) utils.validate(values[1]) utils.validate(values[2]) utils.validate(values[3]) self.r, self.g, self.b, self.a = values def __iter__(self): yield from [self.r, self.g, self.b, self.a] def replace(self, r=None, g=None, b=None, a=None) -> "colors.AlphaColor": """ Create a new Color object by replacing the RGBA values of the Color object associated with the colorview. Arguments: r: Red component of RGBA value as a float in the range [0, 0.1]. g: Green component of RGBA value as a float in the range [0, 0.1]. b: Blue component of RGBA value as a float in the range [0, 0.1]. a: Alpha component of RGBA value as a float in the range [0, 0.1]. Returns: Color object with modified RGBA values. """ if r is None: r = self.r if g is None: g = self.g if b is None: b = self.b if a is None: a = self.a self.color = cast("colors.AlphaColor", self.color) return self.color.from_rgba(r, g, b, a) class BaseColorViewHSL(BaseColorView): """ Base class of ColorViewHSL and ColorViewHSLA classes. """ __slots__: List[str] = [] @property def h(self): """Hue component as a float value""" rgb = (self.color._r, self.color._g, self.color._b) hls = colorsys.rgb_to_hls(*rgb) return hls[0] @h.setter def h(self, val: float): utils.validate(val) rgb = (self.color._r, self.color._g, self.color._b) hls = colorsys.rgb_to_hls(*rgb) rgb = colorsys.hls_to_rgb(val, hls[1], hls[2]) self.color._r, self.color._g, self.color._b = rgb @property def s(self): """Saturation component as a float value""" rgb = (self.color._r, self.color._g, self.color._b) hls = colorsys.rgb_to_hls(*rgb) return hls[2] @s.setter def s(self, val: float): utils.validate(val) rgb = (self.color._r, self.color._g, self.color._b) hls = colorsys.rgb_to_hls(*rgb) rgb = colorsys.hls_to_rgb(hls[0], hls[2], val) self.color._r, self.color._g, self.color._b = rgb @property def l(self): """Lightness component as a float value""" rgb = (self.color._r, self.color._g, self.color._b) hls = colorsys.rgb_to_hls(*rgb) return hls[1] @l.setter def l(self, val: float): utils.validate(val) rgb = (self.color._r, self.color._g, self.color._b) hls = colorsys.rgb_to_hls(*rgb) rgb = colorsys.hls_to_rgb(hls[0], val, hls[1]) self.color._r, self.color._g, self.color._b = rgb class ColorViewHSL(BaseColorViewHSL): """ HSL view of Color objects in float values """ __slots__: List[str] = [] def __iter__(self): hls = colorsys.rgb_to_hls(*self.color.rgb.vals) yield from [hls[0], hls[2], hls[1]] @property def vals(self) -> Sequence[float]: """ Tuple of HSL values as floats. """ return tuple(self) @vals.setter def vals(self, values: Sequence[float]): if len(values) != 3: raise ValueError("Needs exactly 3 floats") utils.validate(values[0]) utils.validate(values[1]) utils.validate(values[2]) rgb = colorsys.hls_to_rgb(values[0], values[2], values[1]) self.color = cast("colors.Color", self.color) self.color.rgb.vals = rgb def replace(self, h=None, s=None, l=None) -> "colors.Color": """ Create a new Color object by replacing the HSL values of the Color object associated with the colorview. Arguments: h: Hue component of HSL value as a float in the range [0, 0.1]. s: Saturation component of HSL value as a float in the range [0, 0.1]. l: Lightness component of HSL value as a float in the range [0, 0.1]. Returns: Color object with modified HSL values. """ hsl = list(self) if h is None: h = hsl[0] if s is None: s = hsl[1] if l is None: l = hsl[2] self.color = cast("colors.Color", self.color) return self.color.from_hsl(h, s, l) class ColorViewHSLA(BaseColorViewHSL, BaseAlphaColorView): """ HSLA view of Color objects in float values """ __slots__: List[str] = [] def __iter__(self): yield from [self.h, self.s, self.l, self.a] @property def vals(self) -> Sequence[float]: """ Tuple of HSLA values as floats. """ return tuple(self) @vals.setter def vals(self, values: Sequence[float]): if len(values) != 4: raise ValueError("Needs exactly 4 floats") utils.validate(values[0]) utils.validate(values[1]) utils.validate(values[2]) utils.validate(values[3]) rgb = colorsys.hls_to_rgb(values[0], values[2], values[1]) self.color = cast("colors.AlphaColor", self.color) self.color.rgba.vals = rgb + (values[3], ) def replace(self, h=None, s=None, l=None, a=None) -> "colors.AlphaColor": """ Create a new AlphaColor object by replacing the HSLA values of the AlphaColor object associated with the colorview. Arguments: h: Hue component of HSLA value as a float in the range [0, 0.1]. s: Saturation component of HSLA value as a float in the range [0, 0.1]. l: Lightness component of HSLA value as a float in the range [0, 0.1]. a: Alpha component of HSLA value as a float in the range [0, 0.1]. Returns: AlphaColor object with modified HSLA values. """ hsla = list(self) if h is None: h = hsla[0] if s is None: s = hsla[1] if l is None: l = hsla[2] if a is None: a = hsla[3] self.color = cast("colors.AlphaColor", self.color) return self.color.from_hsla(h, s, l, a) class BaseColorViewHSV(BaseColorView): """ Base class of ColorViewHSV and ColorViewHSVA classes. """ __slots__: List[str] = [] @property def h(self): """Hue component as a float value""" rgb = (self.color._r, self.color._g, self.color._b) hsv = colorsys.rgb_to_hsv(*rgb) return hsv[0] @h.setter def h(self, val: float): utils.validate(val) rgb = (self.color._r, self.color._g, self.color._b) hsv = colorsys.rgb_to_hsv(*rgb) rgb = colorsys.hsv_to_rgb(val, hsv[1], hsv[2]) self.color._r, self.color._g, self.color._b = rgb @property def s(self): """Saturation component as a float value""" rgb = (self.color._r, self.color._g, self.color._b) hsv = colorsys.rgb_to_hsv(*rgb) return hsv[1] @s.setter def s(self, val: float): utils.validate(val) rgb = (self.color._r, self.color._g, self.color._b) hsv = colorsys.rgb_to_hsv(*rgb) rgb = colorsys.hsv_to_rgb(hsv[0], val, hsv[2]) self.color._r, self.color._g, self.color._b = rgb @property def v(self): """Value component as a float value""" rgb = (self.color._r, self.color._g, self.color._b) hsv = colorsys.rgb_to_hsv(*rgb) return hsv[2] @v.setter def v(self, val: float): utils.validate(val) rgb = (self.color._r, self.color._g, self.color._b) hsv = colorsys.rgb_to_hsv(*rgb) rgb = colorsys.hsv_to_rgb(hsv[0], hsv[1], val) self.color._r, self.color._g, self.color._b = rgb class ColorViewHSV(BaseColorViewHSV): """ HSV view of Color objects in float values """ __slots__: List[str] = [] def __iter__(self): hsv = colorsys.rgb_to_hsv(*self.color.rgb.vals) yield from hsv @property def vals(self) -> Sequence[float]: """ Tuple of HSV values as floats. """ return tuple(self) @vals.setter def vals(self, values: Sequence[float]): if len(values) != 3: raise ValueError("Needs exactly 3 floats") utils.validate(values[0]) utils.validate(values[1]) utils.validate(values[2]) rgb = colorsys.hsv_to_rgb(values[0], values[1], values[2]) self.color = cast("colors.Color", self.color) self.color.rgb.vals = rgb def replace(self, h=None, s=None, v=None) -> "colors.Color": """ Create a new Color object by replacing the HSV values of the Color object associated with the colorview. Arguments: h: Hue component of HSV value as a float in the range [0, 0.1]. s: Saturation component of HSV value as a float in the range [0, 0.1]. v: Value component of HSV value as a float in the range [0, 0.1]. Returns: Color object with modified HSV values. """ hsv = list(self) if h is None: h = hsv[0] if s is None: s = hsv[1] if v is None: v = hsv[2] self.color = cast("colors.Color", self.color) return self.color.from_hsv(h, s, v) class ColorViewHSVA(BaseColorViewHSV, BaseAlphaColorView): """ HSVA view of Color objects in float values """ __slots__: List[str] = [] def __iter__(self): yield from [self.h, self.s, self.v, self.a] @property def vals(self) -> Sequence[float]: """ Tuple of HSVA values as floats. """ return tuple(self) @vals.setter def vals(self, values: Sequence[float]): if len(values) != 4: raise ValueError("Needs exactly 4 floats") utils.validate(values[0]) utils.validate(values[1]) utils.validate(values[2]) utils.validate(values[3]) rgb = colorsys.hsv_to_rgb(values[0], values[1], values[2]) self.color = cast("colors.AlphaColor", self.color) self.color.rgba.vals = rgb + (values[3], ) def replace(self, h=None, s=None, v=None, a=None) -> "colors.AlphaColor": """ Create a new AlphaColor object by replacing the HSVA values of the AlphaColor object associated with the colorview. Arguments: h: Hue component of HSVA value as a float in the range [0, 0.1]. s: Saturation component of HSVA value as a float in the range [0, 0.1]. v: Value component of HSVA value as a float in the range [0, 0.1]. a: Alpha component of HSVA value as a float in the range [0, 0.1]. Returns: AlphaColor object with modified HSVA values. """ hsva = list(self) if h is None: h = hsva[0] if s is None: s = hsva[1] if v is None: v = hsva[2] if a is None: a = hsva[3] self.color = cast("colors.AlphaColor", self.color) return self.color.from_hsva(h, s, v, a)

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0.051607

0.108121

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0

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0.325175

0

null

0

1

0

null

0

6

a20e0fee2f6a078183368ce88da7a4a167353b7a

358

py

Python

funboost/concurrent_pool/single_thread_executor.py

DJMIN/funboost

7570ca2909bb0b44a1080f5f98aa96c86d3da9d4

[ "Apache-2.0" ]

333

2019-08-08T10:25:27.000Z

2022-03-30T07:32:04.000Z

funboost/concurrent_pool/single_thread_executor.py

mooti-barry/funboost

2cd9530e2c4e5a52fc921070d243d402adbc3a0e

[ "Apache-2.0" ]

38

2020-04-24T01:47:51.000Z

2021-12-20T07:22:15.000Z

funboost/concurrent_pool/single_thread_executor.py

mooti-barry/funboost

2cd9530e2c4e5a52fc921070d243d402adbc3a0e

[ "Apache-2.0" ]

84

2019-08-09T11:51:14.000Z

2022-03-02T06:29:09.000Z

from typing import Callable class SoloExecutor: # noinspection PyUnusedLocal def __init__(self, max_workers: int = 1): pass # noinspection PyMethodMayBeStatic def submit(self, fn: Callable, *args, **kwargs): return fn(*args, **kwargs) # noinspection PyMethodMayBeStatic def shutdown(self, wait=True): pass

22.375

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358

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null

0

1

0

1

0

1

0

6

bf663fff316b9b193b327a4c7a05f1f3511336d7

2,170

py

Python

core/test_middleware.py

uktrade/pir-api

79747ceab042c42c287e2b7471f6dade70f68693

[ "MIT" ]

1

2021-02-02T19:08:55.000Z

core/test_middleware.py

uktrade/invest-pir-api

be56efddf9dfdf81c8557441a9a54d9a4dd4bab1

[ "MIT" ]

21

2018-07-10T10:20:47.000Z

2022-03-24T09:36:29.000Z

core/test_middleware.py

uktrade/pir-api

79747ceab042c42c287e2b7471f6dade70f68693

[ "MIT" ]

1

2021-02-04T11:28:37.000Z

from django.http import HttpResponse from .middleware import AdminIpRestrictionMiddleware def test_ip_restriction_middleware_is_enabled(client, settings): settings.RESTRICT_ADMIN = True assert client.get('/admin/').status_code == 401 def test_ip_restriction_applies_to_admin_only(rf, settings): settings.RESTRICT_ADMIN = True request = rf.get('/api/pir/') assert AdminIpRestrictionMiddleware(lambda _: HttpResponse(status=200))(request).status_code == 200 # noqa def test_ip_restriction_enabled_false(rf, settings): settings.RESTRICT_ADMIN = False request = rf.get('/admin/', HTTP_X_FORWARDED_FOR='') assert AdminIpRestrictionMiddleware(lambda _: HttpResponse(status=200))(request).status_code == 200 # noqa def test_ip_restriction_missing_x_forwarded_header(rf, settings): settings.RESTRICT_ADMIN = True request = rf.get('/admin/', HTTP_X_FORWARDED_FOR='1.1.1.1') assert AdminIpRestrictionMiddleware(lambda _: HttpResponse(status=200))(request).status_code == 401 # noqa def test_ip_restriction_invalid_x_forwarded_header(rf, settings): settings.RESTRICT_ADMIN = True request = rf.get('/admin/', HTTP_X_FORWARDED_FOR='1.1.1.1') assert AdminIpRestrictionMiddleware(lambda _: HttpResponse(status=200))(request).status_code == 401 # noqa def test_ip_restriction_valid_ip(rf, settings): settings.RESTRICT_ADMIN = True settings.ALLOWED_ADMIN_IPS = ['2.2.2.2'] request = rf.get('/admin/', HTTP_X_FORWARDED_FOR='1.1.1.1, 2.2.2.2, 3.3.3.3') assert AdminIpRestrictionMiddleware(lambda _: HttpResponse(status=200))(request).status_code == 200 # noqa def test_ip_restriction_invalid_ip(rf, settings): settings.RESTRICT_ADMIN = True settings.ALLOWED_ADMIN_IPS = ['1.1.1.1'] request = rf.get('/admin/', HTTP_X_FORWARDED_FOR='1.1.1.1, 2.2.2.2, 3.3.3.3') assert AdminIpRestrictionMiddleware(lambda _: HttpResponse(status=200))(request).status_code == 401 # noqa settings.ALLOWED_ADMIN_IPS = ['3.3.3.3'] assert AdminIpRestrictionMiddleware(lambda _: HttpResponse(status=200))(request).status_code == 401 # noqa

33.384615

111

0.731797

285

2,170

5.298246

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0.092715

0.82649

0.784106

0.774834

0.752318

0.721192

0

0.048108

0.147465

2,170

64

112

33.90625

0.768108

0.015668

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0.257143

0

null

0

1

0

null

0

6

bf8d6e0498d5afe67689cd33ce48ec68fb6d801b

153

py

Python

client/starwhale/cluster/__init__.py

goldenxinxing/starwhale

2fbb72b0ce5e135b432120c779440e53942be3b5

[ "Apache-2.0" ]

1

2022-03-24T02:03:48.000Z

client/starwhale/cluster/__init__.py

goldenxinxing/starwhale

2fbb72b0ce5e135b432120c779440e53942be3b5

[ "Apache-2.0" ]

null

client/starwhale/cluster/__init__.py

goldenxinxing/starwhale

2fbb72b0ce5e135b432120c779440e53942be3b5

[ "Apache-2.0" ]

null

from .view import ClusterView from .model import DEFAULT_PAGE_NUM, DEFAULT_PAGE_SIZE __all__ = ["ClusterView", "DEFAULT_PAGE_NUM", "DEFAULT_PAGE_SIZE"]

30.6

66

0.810458

21

153

5.333333

0.47619

0.392857

0.25

0.375

0.517857

0

0.098039

153

4

67

38.25

0.811594

0

0.287582

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

6

44aaddfba5d3ff7d2ca00be36fd5c24300f7e10e

8,193

py

Python

categories/acid3/handlers.py

image72/browserscope

44a63558ee376704d996851099bc7703128201cc

[ "Apache-2.0" ]

22

2015-10-26T15:20:37.000Z

2022-03-11T06:38:17.000Z

categories/acid3/handlers.py

image72/browserscope

44a63558ee376704d996851099bc7703128201cc

[ "Apache-2.0" ]

10

2016-01-22T18:46:19.000Z

2019-07-19T12:49:51.000Z

categories/acid3/handlers.py

mcauer/browserscope

a9c0e1a250774f14689e06f93ad274d0b9d725e4

[ "Apache-2.0" ]

12

2015-10-17T09:40:44.000Z

2019-06-08T19:54:36.000Z

#!/usr/bin/python2.5 # # Copyright 2009 Google 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. """Handlers for Acid3 Tests. Example beacon request: http://localhost:8080/beacon?category=acid3&results=score=99 """ __author__ = 'jacobm@google.com (Jacob Moon)' import time from categories import all_test_sets from base import decorators from base import util from django import http from django.template import Context, loader CATEGORY = 'acid3' def About(request): """About page.""" params = { 'page_title': 'What is the Acid3 Test?', 'tests': all_test_sets.GetTestSet(CATEGORY).tests, } return util.Render(request, 'templates/about.html', params, CATEGORY) def SupportAPng(request): # AppEngine does not allow disk operations, so the content of support-a.png file is written here. content = '\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x96\x00\x00\x00\x96\x08\x02\x00\x00\x00\xb3c\xe6\xb5\x00\x00\x00\x01sRGB\x00\xae\xce\x1c\xe9\x00\x00\x00\x04gAMA\x00\x00\xb1\x8f\x0b\xfca\x05\x00\x00\x00 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0

6

44e4c385640a4090e5625d2d2b3dad2c17ee9a95

28

py

Python

hello_world.py

Ram431/profiles-rest-api1

ea3bf503378184e42ead99ef56de3ad47b2994be

[ "MIT" ]

null

hello_world.py

Ram431/profiles-rest-api1

ea3bf503378184e42ead99ef56de3ad47b2994be

[ "MIT" ]

null

hello_world.py

Ram431/profiles-rest-api1

ea3bf503378184e42ead99ef56de3ad47b2994be

[ "MIT" ]

null

print ("Welcome to Python")

14

27

0.714286

4

28

5

1

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0.142857

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1

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0.833333

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0.607143

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null

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1

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null

0

1

0

1

0

6

780238180aa229c6126919ed1ed5cedca0ec3757

170

py

Python

apps/mpm/views/__init__.py

gustavofoa/pympm

a7d2d3a396e7ebf77ec6f213ee04093e790bf901

[ "Apache-2.0" ]

2

2017-04-26T10:21:57.000Z

2021-04-02T08:36:24.000Z

apps/mpm/views/__init__.py

gustavofoa/pympm

a7d2d3a396e7ebf77ec6f213ee04093e790bf901

[ "Apache-2.0" ]

null

apps/mpm/views/__init__.py

gustavofoa/pympm

a7d2d3a396e7ebf77ec6f213ee04093e790bf901

[ "Apache-2.0" ]

null

from .view_starratings import starratings_ajax from .view_datas import datas from .view_search import search from .views import * from .view_errors import page_not_found

28.333333

46

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26

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170

5

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true

0

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null

0

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1

0

1

0

6

78596fc2fa65f198665f1bae6bc7427fbb67c1b4

34

py

Python

src/pyclassifier/__init__.py

rahmansharifi/pydictionaryclassifier

ab5471b61f1502c55d09d0caf6d1ee3a7fd273b0

[ "MIT" ]

null

src/pyclassifier/__init__.py

rahmansharifi/pydictionaryclassifier

ab5471b61f1502c55d09d0caf6d1ee3a7fd273b0

[ "MIT" ]

null

src/pyclassifier/__init__.py

rahmansharifi/pydictionaryclassifier

ab5471b61f1502c55d09d0caf6d1ee3a7fd273b0

[ "MIT" ]

null

from .classifier import dictionary

34

0.882353

4

34

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1

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34

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1

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0

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1

0

1

0

6

785e6f6cb1b274a7b7ea23b3a3d281c7b33042e8

2,820

py

Python

Q2/q2.py

Xascoria/AdventOfCode2021

869d6f292f6444fe6bb26bf37049a0949bf49019

[ "MIT" ]

null

Q2/q2.py

Xascoria/AdventOfCode2021

869d6f292f6444fe6bb26bf37049a0949bf49019

[ "MIT" ]

null

Q2/q2.py

Xascoria/AdventOfCode2021

869d6f292f6444fe6bb26bf37049a0949bf49019

[ "MIT" ]

null

f = open("Q2/inputs.txt","r") z = f.readlines() c = d = 0 for i in z: #print(i) a,b = i.split() if a == "forward": c += int(b) elif a == "down": d += int(b) else: d -= int(b) print(c*d) c = d = 0 aim = 0 for i in z: #print(i) a,b = i.split() if a == "forward": c += int(b) d += aim*int(b) elif a == "down": #d += int(b) aim += int(b) else: #d -= int(b) aim -= int(b) print(c*d) submarine = [ " |_ ", " _____|~ |____ ", " ( -- ~~~~--_ ", " ~~~~~~~~~~~~~~~~~~~'`" ] f = open("Q2/inputs2.txt","r") commands = f.readlines() submarine = [ " _| ", " ____| ~|_____ ", " _------ -- )", "/'------------------- ", ] ocean = [[*"~"*50]for _ in range(10)] current_cord = [0,0] for i in range(len(submarine)): for j in range(len(submarine[i])): ocean[i][j] = submarine[i][j] for i in ocean: print("".join(i)) ocean = [[*"~"*50]for _ in range(10)] for cmd in commands: print(cmd) action, num = cmd.split() if action == "forward": current_cord[1] += int(num) elif action == "up": current_cord[0] += int(num) else: current_cord[0] -= int(num) for i in range(len(submarine)): for j in range(len(submarine[i])): ocean[i+current_cord[0]][j+current_cord[1]] = submarine[i][j] for i in ocean: print("".join(i)) ocean = [[*"~"*50]for _ in range(10)] f = open("Q2/inputs.txt","r") commands = f.readlines() a = [((j[0][0]=="f")*int(j[1]), (j[0][0]!="f")*([-1,1][j[0][0]=="d"]*int(j[1]))) for i in commands if (j:=i.split())] print(__import__("math").prod([sum(i) for i in zip(*a)])) a = [((i.split()[0][0]=="f")*int(i.split()[1]),(i.split()[0][0]!="f")*([-1,1][i.split()[0][0]=="d"]*int(i.split()[1])))for i in open("inputs.txt").readlines()] print(__import__("math").prod([sum(i)for i in zip(*[((i.split()[0][0]=="f")*int(i.split()[1]),(i.split()[0][0]!="f")*([-1,1][i.split()[0][0]=="d"]*int(i.split()[1])))for i in open("inputs.txt").readlines()])])) # submarine = [ # " _| ", # " ____| ~|_____ ", # " _------ -- )", # "/'------------------- ",] # ocean = [[*"~"*50]for _ in range(10)] # for cmd in commands: # print(cmd) # action, num = cmd.split() # if action == "forward": # current_cord[1] += int(num) # elif action == "up": # current_cord[0] += int(num) # else: # current_cord[0] -= int(num) # for i in range(len(submarine)): # for j in range(len(submarine[i])): # ocean[i+current_cord[0]][j+current_cord[1]] = submarine[i][j] # for i in ocean: # print("".join(i)) # ocean = [[*"~"*50]for _ in range(10)]

27.378641

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0.104478

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null

0

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null

0

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78c2c84531d337622b13586bcac5b465874151fd

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py

Python

tests/pymcell4/3000_intermembrane_rxns/geometry.py

mcellteam/mcell-tests

34d2d967b75d56edbae999bf0090641850f4f4fe

[ "MIT" ]

1

2021-08-13T20:40:54.000Z

tests/pymcell4/3000_intermembrane_rxns/geometry.py

mcellteam/mcell_tests

34d2d967b75d56edbae999bf0090641850f4f4fe

[ "MIT" ]

null

tests/pymcell4/3000_intermembrane_rxns/geometry.py

mcellteam/mcell_tests

34d2d967b75d56edbae999bf0090641850f4f4fe

[ "MIT" ]

null

# WARNING: This is an automatically generated file and will be overwritten # by CellBlender on the next model export. import mcell as m # ---- up ---- up_vertex_list = [ [-0.205813646316528, -0.236602157354355, 0.020], [-0.205813646316528, -0.236602157354355, 0.100], [-0.205813646316528, 0.163397818803787, 0.020], [-0.205813646316528, 0.163397818803787, 0.100], [0.194186329841614, -0.236602157354355, 0.020], [0.194186329841614, -0.236602157354355, 0.100], [0.194186329841614, 0.163397818803787, 0.020], [0.194186329841614, 0.163397818803787, 0.100] ] # up_vertex_list up_wall_list = [ [1, 2, 0], [3, 6, 2], [7, 4, 6], [5, 0, 4], [6, 0, 2], [3, 5, 7], [1, 3, 2], [3, 7, 6], [7, 5, 4], [5, 1, 0], [6, 4, 0], [3, 1, 5] ] # up_wall_list up = m.GeometryObject( name = 'up', vertex_list = up_vertex_list, wall_list = up_wall_list, surface_regions = [] ) # ^^^^ up ^^^^ # ---- bottom ---- bottom_vertex_list = [ [-0.199999988079071, -0.199999988079071, -0.02], [-0.199999988079071, -0.199999988079071, 0.018], # the gap is 2nm [-0.199999988079071, 0.199999988079071, -0.02], [-0.199999988079071, 0.199999988079071, 0.018], [0.199999988079071, -0.199999988079071, -0.02], [0.199999988079071, -0.199999988079071, 0.018], [0.199999988079071, 0.199999988079071, -0.02], [0.199999988079071, 0.199999988079071, 0.018] ] # bottom_vertex_list bottom_wall_list = [ [1, 2, 0], [3, 6, 2], [7, 4, 6], [5, 0, 4], [6, 0, 2], [3, 5, 7], [1, 3, 2], [3, 7, 6], [7, 5, 4], [5, 1, 0], [6, 4, 0], [3, 1, 5] ] # bottom_wall_list bottom = m.GeometryObject( name = 'bottom', vertex_list = bottom_vertex_list, wall_list = bottom_wall_list, surface_regions = [] ) # ^^^^ bottom ^^^^

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1

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null

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6

1535a191023144e7168c2fcd11753b139f3601a7

165

py

Python

Level5/flaskr/views.py

oswaldo-patino/python-bootcamp

a8527ca4b71bafc58a813c92288d0fc2fd083230

[ "MIT" ]

null

Level5/flaskr/views.py

oswaldo-patino/python-bootcamp

a8527ca4b71bafc58a813c92288d0fc2fd083230

[ "MIT" ]

null

Level5/flaskr/views.py

oswaldo-patino/python-bootcamp

a8527ca4b71bafc58a813c92288d0fc2fd083230

[ "MIT" ]

null

from flask import Flask, request from flask.templating import render_template from . import app @app.route("/") def home(): return render_template("home.html")

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null

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6

15511b184d34230a2e6b2df1e02c9437457f1fd4

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py

Python

ebp/__init__.py

arokem/elastic_basis_pursuit

780b9ce3912c8bad15b581d9199b364059086387

[ "MIT" ]

null

ebp/__init__.py

arokem/elastic_basis_pursuit

780b9ce3912c8bad15b581d9199b364059086387

[ "MIT" ]

null

ebp/__init__.py

arokem/elastic_basis_pursuit

780b9ce3912c8bad15b581d9199b364059086387

[ "MIT" ]

null

from .elastic_basis_pursuit import *

18.5

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0

1

0

null

0

1

0

1

0

1

0

6

15bd15cef7bbec8ed012df5793ffc716491e3aa4

18

py

Python

app/extensions/__init__.py

cupskeee/App-MFE

4f546a9e6a475f3937f1a77406e612e3354af2b7

[ "Apache-2.0" ]

null

app/extensions/__init__.py

cupskeee/App-MFE

4f546a9e6a475f3937f1a77406e612e3354af2b7

[ "Apache-2.0" ]

2

2022-02-13T15:05:55.000Z

2022-02-27T06:00:16.000Z

api/database/models.py

roycechua23/react-flask-rest-crud-sample

13fe823ec3ac1ea2ed7b90127f07eb92507a5244

[ "MIT" ]

null

from .db import db

18

0.777778

4

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3.5

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0.166667

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1

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0.933333

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1

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null

0

1

0

1

0

1

0

6

ec65c42a2fe369549f971120945c8fc997d9ba65

145

py

Python

todo/admin.py

ruslan-ok/ServerApps

541aa12f1933054a12f590ce78544178be374669

[ "MIT" ]

1

2021-06-07T02:14:13.000Z

todo/admin.py

ruslan-ok/ServerApps

541aa12f1933054a12f590ce78544178be374669

[ "MIT" ]

9

2021-08-14T07:53:47.000Z

2022-03-18T19:07:22.000Z

todo/admin.py

ruslan-ok/ServerApps

541aa12f1933054a12f590ce78544178be374669

[ "MIT" ]

null

from django.contrib import admin from .models import Grp, Lst, Task admin.site.register(Grp) admin.site.register(Lst) admin.site.register(Task)

20.714286

34

0.793103

23

145

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0.478261

0.234783

0.443478

0

0.096552

145

6

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24.166667

0.877863

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null

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6

ec689a2001af71d5afbe53b8d21ef02693d5b366

192

py

Python

chainladder/tails/__init__.py

AragondaJyosna/chainladder-python

45f51365279d6a30eac6d74f5d3ea492d7b7e1d8

[ "MIT" ]

1

2019-03-03T06:01:26.000Z

chainladder/tails/__init__.py

AragondaJyosna/chainladder-python

45f51365279d6a30eac6d74f5d3ea492d7b7e1d8

[ "MIT" ]

null

chainladder/tails/__init__.py

AragondaJyosna/chainladder-python

45f51365279d6a30eac6d74f5d3ea492d7b7e1d8

[ "MIT" ]

null

""" tails should store all tail methodologies """ from chainladder.tails.base import TailBase from chainladder.tails.constant import TailConstant from chainladder.tails.curve import TailCurve

32

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0.833333

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192

6.666667

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0.104167

192

5

52

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null

0

1

0

1

0

6

ece6238b4264cbdba9be4a816d3aa1110598bc9e

9,138

py

Python

o3seespy/command/uniaxial_material/pytz.py

vijaypolimeru/o3seespy

c9ef0c27f685de705721b10eb1ea81c3a3c24c4e

[ "MIT", "BSD-3-Clause" ]

null

o3seespy/command/uniaxial_material/pytz.py

vijaypolimeru/o3seespy

c9ef0c27f685de705721b10eb1ea81c3a3c24c4e

[ "MIT", "BSD-3-Clause" ]

1

2021-06-25T15:33:31.000Z

o3seespy/command/uniaxial_material/pytz.py

millen1m/o3seespy

7eead6aef8055f73af39b969e0d3499a67e1737f

[ "MIT", "BSD-3-Clause" ]

1

2020-12-12T21:01:42.000Z

from o3seespy.command.uniaxial_material.base_material import UniaxialMaterialBase class PySimple1(UniaxialMaterialBase): """ The PySimple1 UniaxialMaterial Class This command is used to construct a PySimple1 uniaxial material object. """ op_type = 'PySimple1' def __init__(self, osi, soil_type, pult, y50, cd, c=0.0): """ Initial method for PySimple1 Parameters ---------- soil_type: int Soiltype = 1 backbone of p-y curve approximates matlock (1970) soft clay relation. soiltype = 2 backbone of p-y curve approximates api (1993) sand relation. pult: float Ultimate capacity of the p-y material. note that "p" or "pult" are distributed loads [force per length of pile] in common design equations, but are both loads for this uniaxialmaterial [i.e., distributed load times the tributary length of the pile]. y50: float Displacement at which 50% of pult is mobilized in monotonic loading. cd: float Variable that sets the drag resistance within a fully-mobilized gap as cd*pult. c: float The viscous damping term (dashpot) on the far-field (elastic) component of the displacement rate (velocity). (optional default = 0.0). nonzero c values are used to represent radiation damping effects """ self.soil_type = int(soil_type) self.pult = float(pult) self.y50 = float(y50) self.cd = float(cd) self.c = float(c) osi.n_mat += 1 self._tag = osi.n_mat self._parameters = [self.op_type, self._tag, self.soil_type, self.pult, self.y50, self.cd, self.c] self.to_process(osi) class TzSimple1(UniaxialMaterialBase): """ The TzSimple1 UniaxialMaterial Class This command is used to construct a TzSimple1 uniaxial material object. """ op_type = 'TzSimple1' def __init__(self, osi, soil_type, tult, z50, c=0.0): """ Initial method for TzSimple1 Parameters ---------- soil_type: int Soiltype = 1 backbone of t-z curve approximates reese and o'neill (1987). soiltype = 2 backbone of t-z curve approximates mosher (1984) relation. tult: float Ultimate capacity of the t-z material. see note 1. z50: float Displacement at which 50% of tult is mobilized in monotonic loading. c: float The viscous damping term (dashpot) on the far-field (elastic) component of the displacement rate (velocity). (optional default = 0.0). see note 2. """ self.soil_type = int(soil_type) self.tult = float(tult) self.z50 = float(z50) self.c = float(c) osi.n_mat += 1 self._tag = osi.n_mat self._parameters = [self.op_type, self._tag, self.soil_type, self.tult, self.z50, self.c] self.to_process(osi) class QzSimple1(UniaxialMaterialBase): """ The QzSimple1 UniaxialMaterial Class This command is used to construct a QzSimple1 uniaxial material object. """ op_type = 'QzSimple1' def __init__(self, osi, qz_type, qult, z50, suction=0.0, c=0.0): """ Initial method for QzSimple1 Parameters ---------- qz_type: int Qztype = 1 backbone of q-z curve approximates reese and o'neill's (1987) relation for drilled shafts in clay. qztype = 2 backbone of q-z curve approximates vijayvergiya's (1977) relation for piles in sand. qult: float Ultimate capacity of the q-z material. see note 1. z50: float Displacement at which 50% of qult is mobilized in monotonic loading. see note 2. suction: float Uplift resistance is equal to suction*qult. default = 0.0. the value of suction must be 0.0 to 0.1.* c: float The viscous damping term (dashpot) on the far-field (elastic) component of the displacement rate (velocity). default = 0.0. nonzero c values are used to represent radiation damping effects.* """ self.qz_type = int(qz_type) self.qult = float(qult) self.z50 = float(z50) self.suction = float(suction) self.c = float(c) osi.n_mat += 1 self._tag = osi.n_mat self._parameters = [self.op_type, self._tag, self.qz_type, self.qult, self.z50, self.suction, self.c] self.to_process(osi) class PyLiq1(UniaxialMaterialBase): """ The PyLiq1 UniaxialMaterial Class """ op_type = 'PyLiq1' def __init__(self, osi, soil_type, pult, y50, cd, c, p_res, ele1, ele2, time_series=None): """ Initial method for PyLiq1 Parameters ---------- soil_type: int Soiltype = 1 backbone of p-y curve approximates matlock (1970) soft clay relation. soiltype = 2 backbone of p-y curve approximates api (1993) sand relation. pult: float Ultimate capacity of the p-y material. note that "p" or "pult" are distributed loads [force per length of pile] in common design equations, but are both loads for this uniaxialmaterial [i.e., distributed load times the tributary length of the pile]. y50: float Displacement at which 50% of pult is mobilized in monotonic loading. cd: float Variable that sets the drag resistance within a fully-mobilized gap as cd*pult. c: float The viscous damping term (dashpot) on the far-field (elastic) component of the displacement rate (velocity). (optional default = 0.0). nonzero c values are used to represent radiation damping effects p_res: float Sets the minimum (or residual) peak resistance that the material retains as the adjacent solid soil elements liquefy ele1: float Are the eletag (element numbers) for the two solid elements from which pyliq1 will obtain mean effective stresses and excess pore pressures ele2: float Are the eletag (element numbers) for the two solid elements from which pyliq1 will obtain mean effective stresses and excess pore pressures time_series: obj Alternatively, mean effective stress can be supplied by a time series by specifying the text string ``'-timeseries'`` and the tag of the series ``seriestag``. """ self.soil_type = int(soil_type) self.pult = float(pult) self.y50 = float(y50) self.cd = float(cd) self.c = float(c) self.p_res = float(p_res) self.ele1 = float(ele1) self.ele2 = float(ele2) self.time_series = time_series osi.n_mat += 1 self._tag = osi.n_mat self._parameters = [self.op_type, self._tag, self.soil_type, self.pult, self.y50, self.cd, self.c, self.p_res, self.ele1, self.ele2] if getattr(self, 'time_series') is not None: self._parameters += ['-timeSeries', self.time_series.tag] self.to_process(osi) class TzLiq1(UniaxialMaterialBase): """ The TzLiq1 UniaxialMaterial Class """ op_type = 'TzLiq1' def __init__(self, osi, tz_type, tult, z50, c, ele1, ele2, time_series=None): """ Initial method for TzLiq1 Parameters ---------- tz_type: int Tztype = 1 backbone of t-z curve approximates reese and o'neill (1987). tztype = 2 backbone of t-z curve approximates mosher (1984) relation. tult: float Ultimate capacity of the t-z material. see note 1. z50: float Displacement at which 50% of tult is mobilized in monotonic loading. c: float The viscous damping term (dashpot) on the far-field (elastic) component of the displacement rate (velocity). ele1: float Are the eletag (element numbers) for the two solid elements from which pyliq1 will obtain mean effective stresses and excess pore pressures ele2: float Are the eletag (element numbers) for the two solid elements from which pyliq1 will obtain mean effective stresses and excess pore pressures time_series: obj Alternatively, mean effective stress can be supplied by a time series by specifying the text string ``'-timeseries'`` and the tag of the seriesm ``seriestag``. """ self.tz_type = int(tz_type) self.tult = float(tult) self.z50 = float(z50) self.c = float(c) self.ele1 = float(ele1) self.ele2 = float(ele2) self.time_series = time_series osi.n_mat += 1 self._tag = osi.n_mat self._parameters = [self.op_type, self._tag, self.tz_type, self.tult, self.z50, self.c, self.ele1, self.ele2] if getattr(self, 'time_series') is not None: self._parameters += ['-timeSeries', self.time_series.tag] self.to_process(osi)

41.162162

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9,138

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0.228571

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null

0

1

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null

0

6

01aadc588ce09495954e0fe8d52dc83fb3a7833d

197

py

Python

juc2/art/__init__.py

vesche/juc2

3484175988bbf0c8f188c876641f1dd39b3c4af0

[ "MIT" ]

null

juc2/art/__init__.py

vesche/juc2

3484175988bbf0c8f188c876641f1dd39b3c4af0

[ "MIT" ]

null

juc2/art/__init__.py

vesche/juc2

3484175988bbf0c8f188c876641f1dd39b3c4af0

[ "MIT" ]

null

"""juc2.art""" from juc2.art.animals import Animals from juc2.art.objects import Objects from juc2.art.shapes import Shapes from juc2.art.symbols import Symbols from juc2.art.tools import Tools

28.142857

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0.040609

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true

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null

0

1

0

1

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1

0

6

01c8c4fd22eeeb77ae4d2e295133270125fc11f4

44

py

Python

tests/test_example.py

Turtledash/BattlegroundsSimulation

7a93efaee90646f808e7272f1c8f636bb3095382

[ "Apache-2.0" ]

null

tests/test_example.py

Turtledash/BattlegroundsSimulation

7a93efaee90646f808e7272f1c8f636bb3095382

[ "Apache-2.0" ]

null

tests/test_example.py

Turtledash/BattlegroundsSimulation

7a93efaee90646f808e7272f1c8f636bb3095382

[ "Apache-2.0" ]

null

def test_numbers(): assert 3 * 4 == 12

14.666667

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3.428571

1

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0.129032

0.295455

44

2

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true

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null

0

1

0

null

0

1

0

1

0

6

01ca12270ce14f23629bd24516ee64ad6c2fed83

22,465

py

Python

edbdeploy/cloud.py

jt-edb/postgres-deployment

871cf517379152f096f44d682dd03d93971715a2

[ "BSD-3-Clause" ]

null

edbdeploy/cloud.py

jt-edb/postgres-deployment

871cf517379152f096f44d682dd03d93971715a2

[ "BSD-3-Clause" ]

1

2021-07-01T18:02:00.000Z

edbdeploy/cloud.py

jt-edb/postgres-deployment

871cf517379152f096f44d682dd03d93971715a2

[ "BSD-3-Clause" ]

null

import logging import json import os import re import time from subprocess import CalledProcessError from .system import exec_shell class CloudCliError(Exception): pass class AWSCli: def __init__(self, bin_path=None): # aws CLI supported versions interval self.min_version = (0, 0, 0) self.max_version = (1, 19, 18) # Path to look up for executable self.bin_path = None # Force aws CLI binary path if bin_path exists and contains # aws file. if bin_path is not None and os.path.exists(bin_path): if os.path.exists(os.path.join(bin_path, 'aws')): self.bin_path = bin_path pass def check_version(self): """ Verify aws CLI version, based on the interval formed by min_version and max_version. aws CLI version is fetched using the command: aws --version """ try: output = exec_shell([self.bin("aws"), "--version"]) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise Exception( "aws CLI executable seems to be missing. Please install it or " "check your PATH variable" ) version = None # Parse command output and extract the version number pattern = re.compile(r"^aws-cli\/([0-9]+)\.([0-9]+)\.([0-9]+) ") for line in output.decode("utf-8").split("\n"): m = pattern.search(line) if m: version = (int(m.group(1)), int(m.group(2)), int(m.group(3))) break if version is None: raise Exception("Unable to parse aws CLI version") logging.info("aws CLI version: %s", '.'.join(map(str, version))) # Verify if the version fetched is supported for i in range(0, 3): min = self.min_version[i] max = self.max_version[i] if version[i] < max: # If current digit is below the maximum value, no need to # check others digits, we are good break if version[i] not in list(range(min, max + 1)): raise Exception( ("aws CLI version %s not supported, must be between %s and" " %s") % ( '.'.join(map(str, version)), '.'.join(map(str, self.min_version)), '.'.join(map(str, self.max_version)), ) ) def bin(self, binary): """ Return binary's path """ if self.bin_path is not None: return os.path.join(self.bin_path, binary) else: return binary def check_instance_type_availability(self, instance_type, region): try: output = exec_shell([ self.bin("aws"), "ec2", "describe-instance-type-offerings", "--location-type availability-zone", "--filters Name=instance-type,Values=%s" % instance_type, "--region %s" % region, "--output json" ]) result = json.loads(output.decode("utf-8")) logging.debug("Command output: %s", result) if len(result["InstanceTypeOfferings"]) == 0: raise CloudCliError( "Instance type %s not available in region %s" % (instance_type, region) ) except ValueError: # JSON decoding error logging.error("Failed to decode JSON data") logging.error("Output: %s", output.decode("utf-8")) raise CloudCliError( "Failed to decode JSON data, please check the logs for details" ) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise CloudCliError( "Failed to execute the following command, please check the " "logs for details: %s" % e.cmd ) def get_image_id(self, image, region): try: output = exec_shell([ self.bin("aws"), "ec2", "describe-images", "--filters Name=name,Values=\"%s\"" % image, "--query 'sort_by(Images, &Name)[-1]'", "--region %s" % region, "--output json" ]) result = json.loads(output.decode("utf-8")) logging.debug("Command output: %s", result) if result.get('State') == 'available': return result.get('ImageId') except ValueError: # JSON decoding error logging.error("Failed to decode JSON data") logging.error("Output: %s", output.decode("utf-8")) raise CloudCliError( "Failed to decode JSON data, please check the logs for details" ) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise CloudCliError( "Failed to execute the following command, please check the " "logs for details: %s" % e.cmd ) def check_instances_availability(self, region): try: output = exec_shell([ self.bin("aws"), "ec2", "wait", "instance-status-ok", "--region %s" % region ]) logging.debug("Command output: %s", output.decode("utf-8")) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise CloudCliError( "Failed to execute the following command, please check the " "logs for details: %s" % e.cmd ) class AWSRDSCli(AWSCli): def check_instance_type_availability(self, instance_type, region): try: output = exec_shell([ self.bin("aws"), "rds", "describe-reserved-db-instances-offerings", "--product-description postgresql", "--region %s" % region, "--db-instance-class %s" % instance_type, "--output json" ]) result = json.loads(output.decode("utf-8")) logging.debug("Command output: %s", result) if len(result["ReservedDBInstancesOfferings"]) == 0: raise CloudCliError( "Instance type %s not available in region %s" % (instance_type, region) ) except ValueError: # JSON decoding error logging.error("Failed to decode JSON data") logging.error("Output: %s", output.decode("utf-8")) raise CloudCliError( "Failed to decode JSON data, please check the logs for details" ) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise CloudCliError( "Failed to execute the following command, please check the " "logs for details: %s" % e.cmd ) class AWSRDSAuroraCli(AWSRDSCli): pass class AzureCli: def __init__(self, bin_path=None): # azure CLI supported versions interval self.min_version = (0, 0, 0) self.max_version = (2, 20, 0) # Path to look up for executable self.bin_path = None # Force azure CLI binary path if bin_path exists and contains # az file. if bin_path is not None and os.path.exists(bin_path): if os.path.exists(os.path.join(bin_path, 'az')): self.bin_path = bin_path def check_version(self): """ Verify azure CLI version, based on the interval formed by min_version and max_version. azure CLI version is fetched using the command: az --version """ try: output = exec_shell([self.bin("az"), "--version"]) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise Exception( "azure CLI executable seems to be missing. Please install it or " "check your PATH variable" ) version = None # Parse command output and extract the version number pattern = re.compile(r"^azure-cli\s+([0-9]+)\.([0-9]+)\.([0-9]+)") for line in output.decode("utf-8").split("\n"): m = pattern.search(line) if m: version = (int(m.group(1)), int(m.group(2)), int(m.group(3))) break if version is None: raise Exception("Unable to parse azure CLI version") logging.info("azure CLI version: %s", '.'.join(map(str, version))) # Verify if the version fetched is supported for i in range(0, 3): min = self.min_version[i] max = self.max_version[i] if version[i] < max: # If current digit is below the maximum value, no need to # check others digits, we are good break if version[i] not in list(range(min, max + 1)): raise Exception( ("azure CLI version %s not supported, must be between %s and" " %s") % ( '.'.join(map(str, version)), '.'.join(map(str, self.min_version)), '.'.join(map(str, self.max_version)), ) ) def bin(self, binary): """ Return binary's path """ if self.bin_path is not None: return os.path.join(self.bin_path, binary) else: return binary def check_instance_type_availability(self, instance_type, region): try: output = exec_shell([ self.bin("az"), "vm", "list-sizes", "--location %s" % region, "--query \"[?name == '%s']\"" % instance_type, "--output json" ]) result = json.loads(output.decode("utf-8")) logging.debug("Command output: %s", result) if len(result) == 0: raise CloudCliError( "Instance type %s not available in region %s" % (instance_type, region) ) except ValueError: # JSON decoding error logging.error("Failed to decode JSON data") logging.error("Output: %s", output.decode("utf-8")) raise CloudCliError( "Failed to decode JSON data, please check the logs for details" ) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise CloudCliError( "Failed to execute the following command, please check the " "logs for details: %s" % e.cmd ) def check_image_availability(self, publisher, offer, sku, region): try: output = exec_shell([ self.bin("az"), "vm", "image", "list", "--all", "-p \"%s\"" % publisher, "-f \"%s\"" % offer, "-s \"%s\"" % sku, "-l %s" % region, "--query", "\"[?offer == '%s' && sku =='%s']\"" % (offer, sku), "--output json" ]) result = json.loads(output.decode("utf-8")) logging.debug("Command output: %s", result) if len(result) == 0: raise CloudCliError( "Image %s:%s:%s not available in region %s" % (publisher, offer, sku, region) ) except ValueError: # JSON decoding error logging.error("Failed to decode JSON data") logging.error("Output: %s", output.decode("utf-8")) raise CloudCliError( "Failed to decode JSON data, please check the logs for details" ) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise CloudCliError( "Failed to execute the following command, please check the " "logs for details: %s" % e.cmd ) def check_instances_availability(self, project_name): try: output = exec_shell([ self.bin("az"), "vm", "wait", "--ids", "$(%s vm list -g \"%s_edb_resource_group\" --query \"[].id\" -o tsv)" % (self.bin("az"), project_name), "--created" ]) logging.debug("Command output: %s", output.decode("utf-8")) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise CloudCliError( "Failed to execute the following command, please check the " "logs for details: %s" % e.cmd ) class GCloudCli: def __init__(self, bin_path=None): # gcloud CLI supported versions interval self.min_version = (0, 0, 0) self.max_version = (329, 0, 0) # Path to look up for executable self.bin_path = None # Force gcloud CLI binary path if bin_path exists and contains # gcloud file. if bin_path is not None and os.path.exists(bin_path): if os.path.exists(os.path.join(bin_path, 'gcloud')): self.bin_path = bin_path def check_version(self): """ Verify gcloud CLI version, based on the interval formed by min_version and max_version. gcloud CLI version is fetched using the command: gcloud --version """ try: output = exec_shell([self.bin("gcloud"), "--version"]) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise Exception( "gcloud CLI executable seems to be missing. Please install it or " "check your PATH variable" ) version = None # Parse command output and extract the version number pattern = re.compile(r"^Google Cloud SDK ([0-9]+)\.([0-9]+)\.([0-9]+)") for line in output.decode("utf-8").split("\n"): m = pattern.search(line) if m: version = (int(m.group(1)), int(m.group(2)), int(m.group(3))) break if version is None: raise Exception("Unable to parse gcloud CLI version") logging.info("gcloud CLI version: %s", '.'.join(map(str, version))) # Verify if the version fetched is supported for i in range(0, 3): min = self.min_version[i] max = self.max_version[i] if version[i] < max: # If current digit is below the maximum value, no need to # check others digits, we are good break if version[i] not in list(range(min, max + 1)): raise Exception( ("gcloud CLI version %s not supported, must be between %s and" " %s") % ( '.'.join(map(str, version)), '.'.join(map(str, self.min_version)), '.'.join(map(str, self.max_version)), ) ) def bin(self, binary): """ Return binary's path """ if self.bin_path is not None: return os.path.join(self.bin_path, binary) else: return binary def check_instance_type_availability(self, instance_type, region): try: output = exec_shell([ self.bin("gcloud"), "compute", "machine-types", "list", "--filter=\"name=%s zone:%s*\"" % (instance_type, region), "--format=json" ]) result = json.loads(output.decode("utf-8")) logging.debug("Command output: %s", result) if len(result) == 0: raise CloudCliError( "Instance type %s not available in region %s" % (instance_type, region) ) except ValueError: # JSON decoding error logging.error("Failed to decode JSON data") logging.error("Output: %s", output.decode("utf-8")) raise CloudCliError( "Failed to decode JSON data, please check the logs for details" ) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise CloudCliError( "Failed to execute the following command, please check the " "logs for details: %s" % e.cmd ) def check_image_availability(self, image): try: output = exec_shell([ self.bin("gcloud"), "compute", "images", "list", "--filter=\"family=%s\"" % image, "--format=json" ]) result = json.loads(output.decode("utf-8")) logging.debug("Command output: %s", result) if len(result) == 0 or result[0]['status'] != 'READY': raise CloudCliError("Image %s not available" % image) except ValueError: # JSON decoding error logging.error("Failed to decode JSON data") logging.error("Output: %s", output.decode("utf-8")) raise CloudCliError( "Failed to decode JSON data, please check the logs for details" ) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise CloudCliError( "Failed to execute the following command, please check the " "logs for details: %s" % e.cmd ) def check_instances_availability(self, project_name, region, node_count): try_count = 0 try_max = 5 try_nap_time = 2 while True: if try_count >= try_max: raise CloudCliError( "Unable to check instances availability after %s trys" % try_count ) try_count += 1 try: output = exec_shell([ self.bin("gcloud"), "compute", "instances", "list", "--filter=\"name:%s-* zone ~ %s-[a-z] status=RUNNING\"" % (project_name, region), "--format=json" ]) result = json.loads(output.decode("utf-8")) logging.debug("Command output: %s", result) if (len(result) >= node_count): # Number of ready instances is good, just break the loop break time.sleep(try_nap_time) except ValueError: # JSON decoding error logging.error("Failed to decode JSON data") logging.error("Output: %s", output.decode("utf-8")) raise CloudCliError( "Failed to decode JSON data, please check the logs for " "details" ) except CalledProcessError as e: logging.error("Failed to execute the command: %s", e.cmd) logging.error("Return code is: %s", e.returncode) logging.error("Output: %s", e.output) raise CloudCliError( "Failed to execute the following command, please check the" " logs for details: %s" % e.cmd ) class CloudCli: def __init__(self, cloud, bin_path): self.cloud = cloud if self.cloud == 'aws': self.cli = AWSCli(bin_path) elif self.cloud == 'aws-rds': self.cli = AWSRDSCli(bin_path) elif self.cloud == 'aws-rds-aurora': self.cli = AWSRDSAuroraCli(bin_path) elif self.cloud == 'azure': self.cli = AzureCli(bin_path) elif self.cloud == 'gcloud': self.cli = GCloudCli(bin_path) else: raise Exception("Unknown cloud %s", self.cloud) def check_instance_type_availability(self, instance_type, region): return self.cli.check_instance_type_availability(instance_type, region) def check_version(self): self.cli.check_version()

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1762b4840bc82ae01d6dcb35cb217712100dc3ae

42,149

py

Python

pirates/leveleditor/worldData/port_royal_area_jungle_c_1.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

81

2018-04-08T18:14:24.000Z

2022-01-11T07:22:15.000Z

pirates/leveleditor/worldData/port_royal_area_jungle_c_1.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

4

2018-09-13T20:41:22.000Z

2022-01-08T06:57:00.000Z

pirates/leveleditor/worldData/port_royal_area_jungle_c_1.py

Willy5s/Pirates-Online-Rewritten

7434cf98d9b7c837d57c181e5dabd02ddf98acb7

[ "BSD-3-Clause" ]

26

2018-05-26T12:49:27.000Z

2021-09-11T09:11:59.000Z

from pandac.PandaModules import Point3, VBase3, Vec4 objectStruct = {'Interact Links': [['1175892736.0dxschafe', '1165197469.59Shochet', 'Bi-directional'], ['1165197301.95Shochet', '1165197288.56Shochet', 'Bi-directional'], ['1175901440.0dxschafe', '1175892736.0dxschafe2', 'Bi-directional'], ['1175901568.0dxschafe', '1165197257.5Shochet', 'Bi-directional'], ['1175892864.0dxschafe', '1175901952.0dxschafe', 'Bi-directional'], ['1175892352.0dxschafe0', '1175902080.0dxschafe', 'Bi-directional']],'Objects': {'1164141722.61sdnaik': {'Type': 'Island Game Area','Name': 'port_royal_area_jungle_c_1','File': '','Environment': 'Jungle','AdditionalData': ['JungleAreaC'],'Footstep Sound': 'Sand','Instanced': True,'Minimap': False,'Objects': {'1164141948.44sdnaik': {'Type': 'Locator Node','Name': 'portal_interior_1','Hpr': VBase3(-4.256, 0.0, 0.0),'Pos': Point3(-632.715, -263.407, 75.0),'Scale': VBase3(1.0, 1.0, 1.0)},'1164141948.45sdnaik': {'Type': 'Locator Node','Name': 'portal_interior_2','Hpr': VBase3(107.903, 0.0, 0.0),'Pos': Point3(304.679, -408.087, 115.611),'Scale': VBase3(1.0, 1.0, 1.0)},'1164939070.28Shochet': {'Type': 'Spawn Node','Aggro Radius': '12.0000','AnimSet': 'default','Hpr': VBase3(128.928, 0.0, 0.0),'Min Population': '1','Patrol Radius': '12.0000','Pause Chance': 100,'Pause Duration': 30,'Pos': Point3(-405.761, -124.137, 102.347),'PoseAnim': '','PoseFrame': '','PropLeft': 'None','PropRight': 'None','Scale': VBase3(1.0, 1.0, 1.0),'Spawnables': 'Scorp T3','Start State': 'Idle','StartFrame': '0','Team': '1','TrailFX': 'None','TrailLeft': 'None','TrailRight': 'None','VisSize': '','Visual': {'Model': 'models/misc/smiley'}},'1164939086.73Shochet': {'Type': 'Spawn Node','Aggro Radius': '12.0000','AnimSet': 'default','Hpr': VBase3(-67.644, 0.0, 0.0),'Min Population': '3','Patrol Radius': '12.0000','Pause Chance': '100','Pause Duration': '30','Pos': Point3(-372.829, -294.251, 101.077),'PoseAnim': '','PoseFrame': '','PropLeft': 'None','PropRight': 'None','Scale': VBase3(1.0, 1.0, 1.0),'Spawnables': 'Scorp T3','Start State': 'Idle','StartFrame': '0','Team': '1','TrailFX': 'None','TrailLeft': 'None','TrailRight': 'None','VisSize': '','Visual': {'Model': 'models/misc/smiley'}},'1164939103.3Shochet': {'Type': 'Spawn Node','Aggro Radius': '12.0000','AnimSet': 'default','Hpr': VBase3(93.878, 0.0, 0.0),'Min Population': '1','Patrol Radius': '12.0000','Pause Chance': 100,'Pause Duration': 30,'Pos': Point3(-268.592, -126.948, 117.51),'PoseAnim': '','PoseFrame': '','PropLeft': 'None','PropRight': 'None','Scale': VBase3(1.0, 1.0, 1.0),'Spawnables': 'Scorp T3','Start State': 'Idle','StartFrame': '0','Team': '1','TrailFX': 'None','TrailLeft': 'None','TrailRight': 'None','VisSize': '','Visual': {'Model': 'models/misc/smiley'}},'1164939260.28Shochet': {'Type': 'Spawn Node','Aggro Radius': '12.0000','AnimSet': 'default','Hpr': Point3(0.0, 0.0, 0.0),'Min Population': '1','Patrol Radius': '12.0000','Pause Chance': '0','Pause Duration': '5','Pos': Point3(356.371, -315.345, 113.48),'PoseAnim': '','PoseFrame': '','PropLeft': 'None','PropRight': 'None','Scale': VBase3(1.0, 1.0, 1.0),'Spawnables': 'Bat T4','Start State': 'Patrol','StartFrame': '0','Team': '1','TrailFX': 'None','TrailLeft': 'None','TrailRight': 'None','VisSize': '','Visual': {'Model': 'models/misc/smiley'}},'1164939309.61Shochet': {'Type': 'Spawn Node','Aggro Radius': '12.0000','AnimSet': 'default','Hpr': VBase3(83.792, 0.0, 0.0),'Min Population': '1','Patrol Radius': '12.0000','Pause Chance': 100,'Pause Duration': 30,'Pos': Point3(-495.787, -282.083, 87.745),'PoseAnim': '','PoseFrame': '','PropLeft': 'None','PropRight': 'None','Scale': VBase3(1.0, 1.0, 1.0),'Spawnables': 'Scorp T3','Start State': 'Idle','StartFrame': '0','Team': '1','TrailFX': 'None','TrailLeft': 'None','TrailRight': 'None','VisSize': '','Visual': {'Model': 'models/misc/smiley'}},'1165197257.5Shochet': {'Type': 'Object Spawn Node','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(-312.947, -311.051, 107.246),'Priority': '1','Scale': VBase3(1.0, 1.0, 1.0),'SpawnDelay': '300','Spawnables': 'Buried Treasure','VisSize': '','Visual': {'Color': (0.8, 0.2, 0.65, 1),'Model': 'models/misc/smiley'},'startingDepth': '12'},'1165197288.56Shochet': {'Type': 'Object Spawn Node','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(101.459, 2.186, 117.559),'Priority': '1','Scale': VBase3(1.0, 1.0, 1.0),'SpawnDelay': '300','Spawnables': 'Buried Treasure','VisSize': '','Visual': {'Color': (0.8, 0.2, 0.65, 1),'Model': 'models/misc/smiley'},'startingDepth': '12'},'1165197301.95Shochet': {'Type': 'Spawn Node','AnimSet': 'default','Hpr': VBase3(-27.089, 0.0, 0.0),'Min Population': '1','Patrol Radius': '12.0000','Pause Chance': 100,'Pause Duration': 30,'Pos': Point3(120.252, 15.244, 116.711),'PoseAnim': '','PoseFrame': '','PropLeft': 'None','PropRight': 'None','Scale': VBase3(1.0, 1.0, 1.0),'Spawnables': 'Scorp T3','Start State': 'Patrol','StartFrame': '0','Team': '1','TrailFX': 'None','TrailLeft': 'None','TrailRight': 'None','VisSize': '','Visual': {'Color': (0.0, 0.0, 0.65, 1.0),'Model': 'models/misc/smiley'}},'1165197323.8Shochet': {'Type': 'Spawn Node','AnimSet': 'default','Hpr': VBase3(143.13, 0.0, 0.0),'Min Population': '1','Patrol Radius': '12.0000','Pause Chance': 100,'Pause Duration': 30,'Pos': Point3(205.686, 112.289, 111.874),'PoseAnim': '','PoseFrame': '','PropLeft': 'None','PropRight': 'None','Scale': VBase3(1.0, 1.0, 1.0),'Spawnables': 'Gator T4','Start State': 'Idle','StartFrame': '0','Team': '1','TrailFX': 'None','TrailLeft': 'None','TrailRight': 'None','VisSize': '','Visual': {'Color': (0, 0, 0.65, 1),'Model': 'models/misc/smiley'}},'1165197469.59Shochet': {'Type': 'Object Spawn Node','Hpr': Point3(0.0, 0.0, 0.0),'Pos': Point3(-122.368, -172.88, 128.692),'Priority': '1','Scale': VBase3(1.0, 1.0, 1.0),'SpawnDelay': '20','Spawnables': 'Buried Treasure','VisSize': '','Visual': {'Color': (0.8, 0.2, 0.65, 1.0),'Model': 'models/misc/smiley'},'startingDepth': '12'},'1175891840.0dxschafe': {'Type': 'Spawn Node','Aggro Radius': '12.0000','AnimSet': 'default','Hpr': VBase3(158.581, 0.0, 0.0),'Min Population': '1','Patrol Radius': '12.0000','Pause Chance': '100','Pause Duration': '30','Pos': Point3(211.261, 154.38, 106.955),'PoseAnim': '','PoseFrame': '','PropLeft': 'None','PropRight': 'None','Scale': VBase3(1.0, 1.0, 1.0),'Spawnables': 'Gator T4','Start State': 'Idle','StartFrame': '0','Team': '1','TrailFX': 'None','TrailLeft': 'None','TrailRight': 'None','VisSize': '','Visual': {'Color': (0, 0, 0.65, 1),'Model': 'models/misc/smiley'}},'1175892224.0dxschafe': {'Type': 'Spawn Node','AnimSet': 'default','Hpr': VBase3(56.444, 0.0, 0.0),'Min Population': '1','Patrol Radius': '12.0000','Pause Chance': '0','Pause Duration': '5','Pos': Point3(-44.099, -38.298, 123.644),'PoseAnim': '','PoseFrame': '','PropLeft': 'None','PropRight': 'None','Scale': VBase3(1.0, 1.0, 1.0),'Spawnables': 'Bat T4','Start State': 'Patrol','StartFrame': '0','Team': '1','TrailFX': 'None','TrailLeft': 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def play(): from trypython.wargame.game import Game Game().play()

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import grinpy as gp import pytest def test_non_integral_value_for_k_raises_error_in_is_k_dom_set(): with pytest.raises(TypeError): G = gp.star_graph(2) gp.is_k_dominating_set(G, [0], 1.5) def test_0_value_for_k_raises_error_in_is_k_dom_set(): with pytest.raises(ValueError): G = gp.star_graph(2) gp.is_k_dominating_set(G, [0], 0) def test_non_int_value_for_k_raises_error_in_min_k_dom_set(): with pytest.raises(TypeError): G = gp.star_graph(2) gp.min_k_dominating_set(G, 1.5) def test_0_value_for_k_raises_error_in_min_k_dom_set(): with pytest.raises(ValueError): G = gp.star_graph(2) gp.min_k_dominating_set(G, 0) def test_non_int_value_for_k_raises_error_in_k_dom_num(): with pytest.raises(TypeError): G = gp.star_graph(2) gp.k_domination_number(G, 1.5) def test_0_value_for_k_raises_error_in_k_dom_num(): with pytest.raises(ValueError): G = gp.star_graph(2) gp.k_domination_number(G, 0) def test_integral_float_for_k_works(): G = gp.star_graph(2) assert gp.is_k_dominating_set(G, [0], 1.0) is True def test_max_degree_vertex_is_dominating_set_of_star(): for i in range(1, 9): G = gp.star_graph(i) assert gp.is_k_dominating_set(G, [0], 1) is True def test_min_degree_vertex_is_not_dominating_set_of_star(): for i in range(2, 9): G = gp.star_graph(i) assert gp.is_k_dominating_set(G, [1], 1) is False def test_dominating_set_with_nodes_not_in_graph(): G = gp.star_graph(3) assert gp.is_k_dominating_set(G, [4], 1) is False assert gp.is_k_dominating_set(G, [0, 4], 1) is True def test_max_degree_vertex_is_not_2_dominating_set_of_star(): for i in range(1, 9): G = gp.star_graph(i) assert gp.is_k_dominating_set(G, [0], 2) is False def test_min_degree_vertices_are_2_dominating_set_of_star(): for i in range(2, 9): G = gp.star_graph(i) nodes = [i for i in range(1, i + 2)] assert gp.is_k_dominating_set(G, nodes, 2) is True def test_2_dominating_set_with_nodes_not_in_graph(): G = gp.star_graph(3) nodes = [1, 2, 3, 4] assert gp.is_k_dominating_set(G, [4], 1) is False assert gp.is_k_dominating_set(G, nodes, 1) is True def test_no_single_node_is_total_dominating_set_of_star(): G = gp.star_graph(3) for v in gp.nodes(G): assert gp.is_total_dominating_set(G, [v]) is False def test_adjacent_vertices_are_total_dominating_set_of_star(): G = gp.star_graph(3) for v in gp.nodes(G): for u in gp.nodes(G): if gp.are_neighbors(G, u, v): assert gp.is_total_dominating_set(G, [u, v]) is True def test_non_adjacent_vertices_not_total_dominating_set_of_star(): G = gp.star_graph(3) for v in gp.nodes(G): for u in gp.nodes(G): if not gp.are_neighbors(G, u, v): assert gp.is_total_dominating_set(G, [u, v]) is False def test_center_vertex_of_star_is_connected_dominating_set(): G = gp.star_graph(3) assert gp.is_connected_dominating_set(G, [0]) is True def test_leaves_of_star_are_not_connected_dominating_set(): G = gp.star_graph(3) D = [1, 2, 3] assert gp.is_connected_dominating_set(G, D) is False def test_3_adjacent_vertice_is_connected_2_dominating_set_of_4_cycle(): G = gp.cycle_graph(4) assert gp.is_connected_k_dominating_set(G, [0, 1, 2], 2) is True def test_non_adjacent_vertices_not_connected_2_dom_set_of_4_cycle(): G = gp.cycle_graph(4) assert gp.is_connected_k_dominating_set(G, [0, 2], 2) is False def test_connected_domination_number_of_star_is_1(): G = gp.star_graph(3) assert gp.connected_domination_number(G) == 1 def test_connected_domination_number_of_P5_is_3(): G = gp.path_graph(5) assert gp.connected_domination_number(G) == 3 def leaves_of_star_is_independent_dominating_set(): G = gp.star_graph(3) D = [1, 2, 3] assert gp.is_independent_dominating_set(G, D) is True def center_node_and_leaf_is_not_ind_dom_set_of_star(): G = gp.star_graph(3) assert gp.is_independent_dominating_set(G, [0, 1]) is False def test_independent_domination_num_of_monster_is_3(): G = gp.star_graph(3) G.add_edge(3, 4) G.add_edge(3, 5) assert gp.independent_domination_number(G, method="bf") == 3 assert gp.independent_domination_number(G, method="ilp") == 3 def test_non_int_value_for_k_raises_error_in_connected_k_dom_set(): with pytest.raises(TypeError): G = gp.star_graph(2) gp.is_connected_k_dominating_set(G, [0], 1.5) def test_0_value_for_k_raises_error_in_connected_k_dom_set(): with pytest.raises(ValueError): G = gp.star_graph(2) gp.is_connected_k_dominating_set(G, [0], 0) def test_non_int_value_for_k_raises_error_in_min_connected_k_dom_set(): with pytest.raises(TypeError): G = gp.star_graph(2) gp.min_connected_k_dominating_set(G, 1.5) def test_0_value_for_k_raises_error_in_min_connected_k_dom_set(): with pytest.raises(ValueError): G = gp.star_graph(2) gp.min_connected_k_dominating_set(G, 0) def test_non_int_value_for_k_raises_error_in_connected_k_dom_num(): with pytest.raises(TypeError): G = gp.star_graph(2) gp.connected_k_domination_number(G, 1.5) def test_0_value_for_k_raises_error_in_connected_k_dom_num(): with pytest.raises(ValueError): G = gp.star_graph(2) gp.connected_k_domination_number(G, 0) def test_non_int_value_for_k_raises_error_in_ind_k_dom_set(): with pytest.raises(TypeError): G = gp.star_graph(2) gp.is_independent_k_dominating_set(G, [0], 1.5) def test_0_value_for_k_raises_error_in_ind_k_dom_set(): with pytest.raises(ValueError): G = gp.star_graph(2) gp.is_independent_k_dominating_set(G, [0], 0) def test_non_int_value_for_k_raises_error_in_min_ind_k_dom_set(): with pytest.raises(TypeError): G = gp.star_graph(2) gp.min_independent_k_dominating_set(G, 1.5) def test_0_value_for_k_raises_error_in_min_ind_k_dom_set(): with pytest.raises(ValueError): G = gp.star_graph(2) gp.min_independent_k_dominating_set(G, 0) def test_min_ind_dom_set_ip_returns_same_as_bf_for_peterson_graph(): G = gp.petersen_graph() bf = len(gp.min_independent_dominating_set(G, method="bf")) ip = len(gp.min_independent_dominating_set(G, method="ilp")) assert bf == ip def test_non_int_value_for_k_raises_error_in_ind_k_dom_num(): with pytest.raises(TypeError): G = gp.star_graph(2) gp.independent_k_domination_number(G, 1.5) def test_0_value_for_k_raises_error_in_ind_k_dom_num(): with pytest.raises(ValueError): G = gp.star_graph(2) gp.independent_k_domination_number(G, 0) def test_min_conn_dominating_for_disconnected_graph_is_0(): G = gp.Graph() G.add_edge(1, 2) G.add_edge(3, 4) assert gp.connected_domination_number(G) == 0 def test_tot_dom_for_graph_with_isolates_is_0(): G = gp.empty_graph(5) assert gp.total_domination_number(G, method="bf") == 0 assert gp.total_domination_number(G, method="ilp") == 0 def test_domination_number_of_star_is_1(): for i in range(1, 9): G = gp.star_graph(i) assert gp.domination_number(G, method="bf") == 1 assert gp.domination_number(G, method="ilp") == 1 def test_2_domination_number_of_star_is_order_minus_1(): for i in range(2, 9): G = gp.star_graph(i) assert gp.k_domination_number(G, 2) == G.order() - 1 def test_total_domination_number_of_star_is_2(): for i in range(1, 9): G = gp.star_graph(i) assert gp.total_domination_number(G, 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2020-02-14T02:34:34.000Z

2022-03-31T22:43:20.000Z

tests/assets/pipeline-sql-products-in-source/config.py

MarcoJHB/ploomber

4849ef6915572f7934392443b4faf138172b9596

[ "Apache-2.0" ]

660

2020-02-06T16:15:57.000Z

2022-03-31T22:55:01.000Z

tests/assets/pipeline-sql-products-in-source/config.py

MarcoJHB/ploomber

4849ef6915572f7934392443b4faf138172b9596

[ "Apache-2.0" ]

122

2020-02-14T18:53:05.000Z

2022-03-27T22:33:24.000Z

from ploomber.clients import SQLAlchemyClient def get_uri(): return 'sqlite:///my.db' def get_client(): return SQLAlchemyClient(get_uri())

15.1

45

0.721854

19

151

5.578947

0.684211

0.113208

0

0.15894

151

9

46

16.777778

0.834646

0

0.099338

0

1

0.4

true

0

0.2

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1

0

1

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null

0

1

0

null

0

1

0

1

0

6

e5e2f2792be30a9df3ccb748133efc2d0eaa9dd4

43

py

Python

test/gallery/fitnessprivacy/__init__.py

jeanqasaur/jeeves

1b5783a98f88fa2fc9e4cae7e005d2c9242cfea4

[ "MIT" ]

253

2015-01-02T01:54:27.000Z

2022-03-10T01:44:02.000Z

test/gallery/fitnessprivacy/__init__.py

jeanqasaur/jeeves

1b5783a98f88fa2fc9e4cae7e005d2c9242cfea4

[ "MIT" ]

4

2015-06-09T03:36:28.000Z

2017-08-11T15:54:24.000Z

test/gallery/fitnessprivacy/__init__.py

jeanqasaur/jeeves

1b5783a98f88fa2fc9e4cae7e005d2c9242cfea4

[ "MIT" ]

29

2015-02-14T02:24:08.000Z

2021-12-16T02:46:16.000Z

import macropy.activate import testFitness

14.333333

23

0.883721

5

43

7.6

0.8

0

0.093023

43

2

24

21.5

0.974359

0

1

0

true

0

1

0

1

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1

0

null

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1

0

null

0

1

0

1

0

1

0

6

008b4a9a2ae53d654495d42bc5715eb63ea42866

73

py

Python

neobox/cmd/pause.py

nnnewb/neobox

985ca7ae32cf198ac69184d2b69ed818a60e3953

[ "MIT" ]

null

neobox/cmd/pause.py

nnnewb/neobox

985ca7ae32cf198ac69184d2b69ed818a60e3953

[ "MIT" ]

null

neobox/cmd/pause.py

nnnewb/neobox

985ca7ae32cf198ac69184d2b69ed818a60e3953

[ "MIT" ]

null

import click @click.command() def pause(): """TODO """ pass

9.125

16

0.534247

8

73

4.875

0.875

0

0.287671

73

8

17

9.125

0.75

0.054795

0

0.125

0

1

0.25

true

0.25

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0.5

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null

0

1

0

null

0

1

0

1

0

6

00dbf583793e826fe879d0b4effdb1e696dd842d

27

py

Python

pyLruCache/__init__.py

rfyiambest/PyLruCache

652a110b4ecb1578f1e35937e92e8bd4dc4240f4

[ "MIT" ]

37

2015-04-23T15:38:15.000Z

2021-04-14T14:45:09.000Z

pyLruCache/__init__.py

rfyiambest/PyLruCache

652a110b4ecb1578f1e35937e92e8bd4dc4240f4

[ "MIT" ]

1

2015-11-01T11:15:25.000Z

2015-11-03T07:51:29.000Z

pyLruCache/__init__.py

rfyiambest/PyLruCache

652a110b4ecb1578f1e35937e92e8bd4dc4240f4

[ "MIT" ]

10

2015-02-10T09:52:30.000Z

2017-06-30T05:27:43.000Z

from .pyLruCache import *

13.5

26

0.740741

3

27

6.666667

1

0

0.185185

27

1

27

0.909091

0

1

0

true

0

1

0

1

0

1

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null

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1

0

null

0

1

0

1

0

1

0

6

9757267214a94287ac468949014f9f672820a32f

23,755

py

Python

Draft/FirstModelReg.py

HillaPeter/FinalProject

f42849483a2e898a3198bb539c22bbfdf4308cc9

[ "MIT" ]

null

Draft/FirstModelReg.py

HillaPeter/FinalProject

f42849483a2e898a3198bb539c22bbfdf4308cc9

[ "MIT" ]

null

Draft/FirstModelReg.py

HillaPeter/FinalProject

f42849483a2e898a3198bb539c22bbfdf4308cc9

[ "MIT" ]

1

2021-06-24T09:10:10.000Z

import pandas as pd from sklearn import linear_model import statsmodels.api as sm import numpy as np from scipy import stats df_all = pd.read_csv("/mnt/nadavrap-students/STS/data/imputed_data2.csv") # print(df_all.head()) # print(df_all.columns.tolist()) print (df_all.info()) df_all = df_all.replace({'MtOpD':{False:0, True:1}}) df_all = df_all.replace({'Complics':{False:0, True:1}}) mask_reop = df_all['Reoperation'] == 'Reoperation' df_reop = df_all[mask_reop] mask = df_all['surgyear'] == 2010 df_2010 = df_all[mask] mask = df_all['surgyear'] == 2011 df_2011 = df_all[mask] mask = df_all['surgyear'] == 2012 df_2012 = df_all[mask] mask = df_all['surgyear'] == 2013 df_2013 = df_all[mask] mask = df_all['surgyear'] == 2014 df_2014 = df_all[mask] mask = df_all['surgyear'] == 2015 df_2015 = df_all[mask] mask = df_all['surgyear'] == 2016 df_2016 = df_all[mask] mask = df_all['surgyear'] == 2017 df_2017 = df_all[mask] mask = df_all['surgyear'] == 2018 df_2018 = df_all[mask] mask = df_all['surgyear'] == 2019 df_2019 = df_all[mask] avg_siteid = pd.DataFrame() avg_surgid = pd.DataFrame() df_siteid_reg = pd.DataFrame() df_surgid_reg = pd.DataFrame() def groupby_siteid(): df2010 = df_2010.groupby('SiteID')['SiteID'].count().reset_index(name='2010_total') df2011 = df_2011.groupby('SiteID')['SiteID'].count().reset_index(name='2011_total') df2012 = df_2012.groupby('SiteID')['SiteID'].count().reset_index(name='2012_total') df2013 = df_2013.groupby('SiteID')['SiteID'].count().reset_index(name='2013_total') df2014 = df_2014.groupby('SiteID')['SiteID'].count().reset_index(name='2014_total') df2015 = df_2015.groupby('SiteID')['SiteID'].count().reset_index(name='2015_total') df2016 = df_2016.groupby('SiteID')['SiteID'].count().reset_index(name='2016_total') df2017 = df_2017.groupby('SiteID')['SiteID'].count().reset_index(name='2017_total') df2018 = df_2018.groupby('SiteID')['SiteID'].count().reset_index(name='2018_total') df2019 = df_2019.groupby('SiteID')['SiteID'].count().reset_index(name='2019_total') df1 =pd.merge(df2010, df2011, on='SiteID', how='outer') df2 =pd.merge(df1, df2012, on='SiteID', how='outer') df3 =pd.merge(df2, df2013, on='SiteID', how='outer') df4 =pd.merge(df3, df2014, on='SiteID', how='outer') df5 =pd.merge(df4, df2015, on='SiteID', how='outer') df6 =pd.merge(df5, df2016, on='SiteID', how='outer') df7 =pd.merge(df6, df2017, on='SiteID', how='outer') df8 =pd.merge(df7, df2018, on='SiteID', how='outer') df_sum_all_Years =pd.merge(df8, df2019, on='SiteID', how='outer') df_sum_all_Years.fillna(0,inplace=True) cols = df_sum_all_Years.columns.difference(['SiteID']) df_sum_all_Years['Distinct_years'] = df_sum_all_Years[cols].gt(0).sum(axis=1) cols_sum = df_sum_all_Years.columns.difference(['SiteID','Distinct_years']) df_sum_all_Years['Year_sum'] =df_sum_all_Years.loc[:,cols_sum].sum(axis=1) df_sum_all_Years['Year_avg'] = df_sum_all_Years['Year_sum']/df_sum_all_Years['Distinct_years'] df_sum_all_Years.to_csv("/tmp/pycharm_project_723/files/total op sum all years siteid.csv") # print("details on site id dist:") # # print("num of all sites: ", len(df_sum_all_Years)) # # less_8 =df_sum_all_Years[df_sum_all_Years['Distinct_years'] !=10] # less_8.to_csv("total op less 10 years siteid.csv") # print("num of sites with less years: ", len(less_8)) # # x = np.array(less_8['Distinct_years']) # print(np.unique(x)) avg_siteid['SiteID'] = df_sum_all_Years['SiteID'] avg_siteid['total_year_sum'] = df_sum_all_Years['Year_sum'] avg_siteid['total_year_avg'] = df_sum_all_Years['Year_avg'] avg_siteid['num_of_years'] = df_sum_all_Years['Distinct_years'] def groupby_siteid_reop(): df2010 = df_2010.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'Reoperation').sum()).reset_index(name='2010_reop') df2011 = df_2011.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'Reoperation').sum()).reset_index(name='2011_reop') df2012 = df_2012.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'Reoperation').sum()).reset_index(name='2012_reop') df2013 = df_2013.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'Reoperation').sum()).reset_index(name='2013_reop') df2014 = df_2014.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'Reoperation').sum()).reset_index(name='2014_reop') df2015 = df_2015.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'Reoperation').sum()).reset_index(name='2015_reop') df2016 = df_2016.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'Reoperation').sum()).reset_index(name='2016_reop') df2017 = df_2017.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'Reoperation').sum()).reset_index(name='2017_reop') df2018 = df_2018.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'Reoperation').sum()).reset_index(name='2018_reop') df2019 = df_2019.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'Reoperation').sum()).reset_index(name='2019_reop') df1 =pd.merge(df2010, df2011, on='SiteID', how='outer') df2 =pd.merge(df1, df2012, on='SiteID', how='outer') df3 =pd.merge(df2, df2013, on='SiteID', how='outer') df4 =pd.merge(df3, df2014, on='SiteID', how='outer') df5 =pd.merge(df4, df2015, on='SiteID', how='outer') df6 =pd.merge(df5, df2016, on='SiteID', how='outer') df7 =pd.merge(df6, df2017, on='SiteID', how='outer') df8 =pd.merge(df7, df2018, on='SiteID', how='outer') df_sum_all_Years =pd.merge(df8, df2019, on='SiteID', how='outer') df_sum_all_Years.fillna(0,inplace=True) cols = df_sum_all_Years.columns.difference(['SiteID']) df_sum_all_Years['Distinct_years_reop'] = df_sum_all_Years[cols].gt(0).sum(axis=1) cols_sum = df_sum_all_Years.columns.difference(['SiteID', 'Distinct_years_reop']) df_sum_all_Years['Year_sum_reop'] = df_sum_all_Years.loc[:, cols_sum].sum(axis=1) df_sum_all_Years['Year_avg_reop'] = df_sum_all_Years['Year_sum_reop'] / avg_siteid['num_of_years'] df_sum_all_Years.to_csv("/tmp/pycharm_project_723/files/sum all years siteid reop.csv") # -----------------------first op------------------------------------ df_10 = df_2010.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2010_FirstOperation') df_11 = df_2011.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2011_FirstOperation') df_12 = df_2012.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2012_FirstOperation') df_13 = df_2013.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2013_FirstOperation') df_14 = df_2014.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2014_FirstOperation') df_15 = df_2015.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2015_FirstOperation') df_16 = df_2016.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2016_FirstOperation') df_17 = df_2017.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2017_FirstOperation') df_18 = df_2018.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2018_FirstOperation') df_19 = df_2019.groupby('SiteID')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2019_FirstOperation') d1 = pd.merge(df_10, df_11, on='SiteID', how='outer') d2 = pd.merge(d1, df_12, on='SiteID', how='outer') d3 = pd.merge(d2, df_13, on='SiteID', how='outer') d4 = pd.merge(d3, df_14, on='SiteID', how='outer') d5 = pd.merge(d4, df_15, on='SiteID', how='outer') d6 = pd.merge(d5, df_16, on='SiteID', how='outer') d7 = pd.merge(d6, df_17, on='SiteID', how='outer') d8 = pd.merge(d7, df_18, on='SiteID', how='outer') df_sum_all_Years_total = pd.merge(d8, df_19, on='SiteID', how='outer') df_sum_all_Years_total.fillna(0, inplace=True) cols = df_sum_all_Years_total.columns.difference(['SiteID']) df_sum_all_Years_total['Distinct_years'] = df_sum_all_Years_total[cols].gt(0).sum(axis=1) cols_sum = df_sum_all_Years_total.columns.difference(['SiteID', 'Distinct_years']) df_sum_all_Years_total['Year_sum'] = df_sum_all_Years_total.loc[:, cols_sum].sum(axis=1) df_sum_all_Years_total['Year_avg'] = df_sum_all_Years_total['Year_sum'] / avg_siteid['num_of_years'] df_sum_all_Years_total.to_csv("/tmp/pycharm_project_723/files/First Operation sum all years siteid.csv") #---------------------------merge------------------------ temp_first = pd.DataFrame() temp_first['SiteID'] = df_sum_all_Years_total['SiteID'] temp_first['Year_sum_Firstop'] = df_sum_all_Years_total['Year_sum'] temp_first['Year_avg_Firstop'] = df_sum_all_Years_total['Year_avg'] temp_reop = pd.DataFrame() temp_reop['SiteID'] = df_sum_all_Years['SiteID'] temp_reop['Year_avg_reop'] = df_sum_all_Years['Year_avg_reop'] temp_reop['Year_sum_reop'] = df_sum_all_Years['Year_sum_reop'] df_mort = groupby_mortality_siteid() df_reop_mort = groupby_mortality_siteid_reop() df_reop_complics = groupby_complics_siteid() df20 = pd.merge(avg_siteid, temp_first, on='SiteID', how='outer') temp_merge = pd.merge(df20, temp_reop, on='SiteID', how='outer') temp_merge2 = pd.merge(temp_merge, df_mort, on='SiteID', how='outer') temp_merge3 = pd.merge(temp_merge2,df_reop_mort, on='SiteID', how='outer') total_avg_site_id = pd.merge(temp_merge3, df_reop_complics, on='SiteID', how='outer') total_avg_site_id['firstop/total'] = (total_avg_site_id['Year_sum_Firstop'] / total_avg_site_id['total_year_sum']) *100 total_avg_site_id['reop/total'] = (total_avg_site_id['Year_sum_reop'] / total_avg_site_id['total_year_sum']) * 100 total_avg_site_id['mortalty_rate'] = (total_avg_site_id['Mortality'] / total_avg_site_id['total_year_sum'])*100 total_avg_site_id['mortalty_reop_rate'] = (total_avg_site_id['Mortality_reop'] / total_avg_site_id['Year_sum_reop']) * 100 total_avg_site_id['Complics_reop_rate'] = (total_avg_site_id['Complics_reop'] / total_avg_site_id['Year_sum_reop']) * 100 total_avg_site_id.fillna(0, inplace=True) total_avg_site_id.to_csv('total_avg_site_id.csv') df_siteid_reg['SiteID'] =total_avg_site_id['SiteID'] df_siteid_reg['total_year_avg'] = total_avg_site_id['total_year_avg'] def groupby_surgid(): df2010 = df_2010.groupby('surgid')['surgid'].count().reset_index(name='2010_total') df2011 = df_2011.groupby('surgid')['surgid'].count().reset_index(name='2011_total') df2012 = df_2012.groupby('surgid')['surgid'].count().reset_index(name='2012_total') df2013 = df_2013.groupby('surgid')['surgid'].count().reset_index(name='2013_total') df2014 = df_2014.groupby('surgid')['surgid'].count().reset_index(name='2014_total') df2015 = df_2015.groupby('surgid')['surgid'].count().reset_index(name='2015_total') df2016 = df_2016.groupby('surgid')['surgid'].count().reset_index(name='2016_total') df2017 = df_2017.groupby('surgid')['surgid'].count().reset_index(name='2017_total') df2018 = df_2018.groupby('surgid')['surgid'].count().reset_index(name='2018_total') df2019 = df_2019.groupby('surgid')['surgid'].count().reset_index(name='2019_total') df1 = pd.merge(df2010, df2011, on='surgid', how='outer') df2 = pd.merge(df1, df2012, on='surgid', how='outer') df3 = pd.merge(df2, df2013, on='surgid', how='outer') df4 = pd.merge(df3, df2014, on='surgid', how='outer') df5 = pd.merge(df4, df2015, on='surgid', how='outer') df6 = pd.merge(df5, df2016, on='surgid', how='outer') df7 = pd.merge(df6, df2017, on='surgid', how='outer') df8 = pd.merge(df7, df2018, on='surgid', how='outer') df_sum_all_Years = pd.merge(df8, df2019, on='surgid', how='outer') df_sum_all_Years.fillna(0, inplace=True) cols = df_sum_all_Years.columns.difference(['surgid']) df_sum_all_Years['Distinct_years'] = df_sum_all_Years[cols].gt(0).sum(axis=1) cols_sum = df_sum_all_Years.columns.difference(['surgid', 'Distinct_years']) df_sum_all_Years['Year_sum'] = df_sum_all_Years.loc[:, cols_sum].sum(axis=1) df_sum_all_Years['Year_avg'] = df_sum_all_Years['Year_sum'] / df_sum_all_Years['Distinct_years'] df_sum_all_Years.to_csv("/tmp/pycharm_project_723/files/total op sum all years surgid.csv") # print("details on surg id dist:") # print("num of all surgid: ", len(df_sum_all_Years)) # # less_8 = df_sum_all_Years[df_sum_all_Years['Distinct_years'] != 10] # less_8.to_csv("total op less 10 years surgid.csv") # print("num of surgid with less years: ", len(less_8)) # # x = np.array(less_8['Distinct_years']) # print(np.unique(x)) # avg_surgid['surgid'] = df_sum_all_Years['surgid'] # avg_surgid['total_year_avg'] = df_sum_all_Years['Year_avg'] avg_surgid['surgid'] = df_sum_all_Years['surgid'] avg_surgid['total_year_avg'] = df_sum_all_Years['Year_avg'] avg_surgid['total_year_count'] = df_sum_all_Years['Year_sum'] avg_surgid['num_of_years'] = df_sum_all_Years['Distinct_years'] def groupby_surgid_reop(): df2010 = df_2010.groupby('surgid')['Reoperation'].apply(lambda x: (x =='Reoperation').sum()).reset_index(name='2010_reop') df2011 = df_2011.groupby('surgid')['Reoperation'].apply(lambda x: (x =='Reoperation').sum()).reset_index(name='2011_reop') df2012 = df_2012.groupby('surgid')['Reoperation'].apply(lambda x: (x =='Reoperation').sum()).reset_index(name='2012_reop') df2013 = df_2013.groupby('surgid')['Reoperation'].apply(lambda x: (x =='Reoperation').sum()).reset_index(name='2013_reop') df2014 = df_2014.groupby('surgid')['Reoperation'].apply(lambda x: (x =='Reoperation').sum()).reset_index(name='2014_reop') df2015 = df_2015.groupby('surgid')['Reoperation'].apply(lambda x: (x =='Reoperation').sum()).reset_index(name='2015_reop') df2016 = df_2016.groupby('surgid')['Reoperation'].apply(lambda x: (x =='Reoperation').sum()).reset_index(name='2016_reop') df2017 = df_2017.groupby('surgid')['Reoperation'].apply(lambda x: (x =='Reoperation').sum()).reset_index(name='2017_reop') df2018 = df_2018.groupby('surgid')['Reoperation'].apply(lambda x: (x =='Reoperation').sum()).reset_index(name='2018_reop') df2019 = df_2019.groupby('surgid')['Reoperation'].apply(lambda x: (x =='Reoperation').sum()).reset_index(name='2019_reop') df1 = pd.merge(df2010, df2011, on='surgid', how='outer') df2 = pd.merge(df1, df2012, on='surgid', how='outer') df3 = pd.merge(df2, df2013, on='surgid', how='outer') df4 = pd.merge(df3, df2014, on='surgid', how='outer') df5 = pd.merge(df4, df2015, on='surgid', how='outer') df6 = pd.merge(df5, df2016, on='surgid', how='outer') df7 = pd.merge(df6, df2017, on='surgid', how='outer') df8 = pd.merge(df7, df2018, on='surgid', how='outer') df_sum_all_Years = pd.merge(df8, df2019, on='surgid', how='outer') df_sum_all_Years.fillna(0, inplace=True) cols = df_sum_all_Years.columns.difference(['surgid']) df_sum_all_Years['Distinct_years_reop'] = df_sum_all_Years[cols].gt(0).sum(axis=1) cols_sum = df_sum_all_Years.columns.difference(['surgid', 'Distinct_years_reop']) df_sum_all_Years['Year_sum_reop'] = df_sum_all_Years.loc[:, cols_sum].sum(axis=1) df_sum_all_Years['Year_avg_reop'] = df_sum_all_Years['Year_sum_reop'] / avg_surgid['num_of_years'] df_sum_all_Years.to_csv("/tmp/pycharm_project_723/files/sum all years surgid reop.csv") # -----------------------first op------------------------------------ df_10 = df_2010.groupby('surgid')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2010_FirstOperation') df_11 = df_2011.groupby('surgid')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2011_FirstOperation') df_12 = df_2012.groupby('surgid')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2012_FirstOperation') df_13 = df_2013.groupby('surgid')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2013_FirstOperation') df_14 = df_2014.groupby('surgid')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2014_FirstOperation') df_15 = df_2015.groupby('surgid')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2015_FirstOperation') df_16 = df_2016.groupby('surgid')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2016_FirstOperation') df_17 = df_2017.groupby('surgid')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2017_FirstOperation') df_18 = df_2018.groupby('surgid')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2018_FirstOperation') df_19 = df_2019.groupby('surgid')['Reoperation'].apply(lambda x: (x == 'First Time').sum()).reset_index(name='2019_FirstOperation') d1 = pd.merge(df_10, df_11, on='surgid', how='outer') d2 = pd.merge(d1, df_12, on='surgid', how='outer') d3 = pd.merge(d2, df_13, on='surgid', how='outer') d4 = pd.merge(d3, df_14, on='surgid', how='outer') d5 = pd.merge(d4, df_15, on='surgid', how='outer') d6 = pd.merge(d5, df_16, on='surgid', how='outer') d7 = pd.merge(d6, df_17, on='surgid', how='outer') d8 = pd.merge(d7, df_18, on='surgid', how='outer') df_sum_all_Years_total = pd.merge(d8, df_19, on='surgid', how='outer') df_sum_all_Years_total.fillna(0, inplace=True) cols = df_sum_all_Years_total.columns.difference(['surgid']) df_sum_all_Years_total['Distinct_years'] = df_sum_all_Years_total[cols].gt(0).sum(axis=1) cols_sum = df_sum_all_Years_total.columns.difference(['surgid', 'Distinct_years']) df_sum_all_Years_total['Year_sum'] = df_sum_all_Years_total.loc[:, cols_sum].sum(axis=1) df_sum_all_Years_total['Year_avg'] = df_sum_all_Years_total['Year_sum'] / avg_surgid['num_of_years'] df_sum_all_Years_total.to_csv("/tmp/pycharm_project_723/files/First op sum all years surgid.csv") # ---------------------------merge------------------------ temp_first = pd.DataFrame() temp_first['surgid'] = df_sum_all_Years_total['surgid'] temp_first['Year_avg_Firstop'] = df_sum_all_Years_total['Year_avg'] temp_first['Year_sum_Firstop'] = df_sum_all_Years_total['Year_sum'] temp_reop = pd.DataFrame() temp_reop['surgid'] = df_sum_all_Years['surgid'] temp_reop['Year_avg_reop'] = df_sum_all_Years['Year_avg_reop'] temp_reop['Year_sum_reop'] = df_sum_all_Years['Year_sum_reop'] df_mort = groupby_mortality_surgid() df_reop_mort = groupby_mortality_surgid_reop() df_reop_complics = groupby_complics_surgid() df20 = pd.merge(avg_surgid, temp_first, on='surgid', how='outer') temp_merge = pd.merge(df20, temp_reop, on='surgid', how='outer') temp_merge2 = pd.merge(temp_merge, df_mort, on='surgid', how='outer') temp_merge3 = pd.merge(temp_merge2,df_reop_mort, on='surgid', how='outer') total_avg_surgid = pd.merge(temp_merge3, df_reop_complics, on='surgid', how='outer') total_avg_surgid['firstop/total'] = (total_avg_surgid['Year_sum_Firstop'] / total_avg_surgid['total_year_count']) * 100 total_avg_surgid['reop/total'] = (total_avg_surgid['Year_sum_reop'] / total_avg_surgid['total_year_count']) * 100 total_avg_surgid['mortalty_rate'] = (total_avg_surgid['Mortality'] / total_avg_surgid['total_year_count']) * 100 total_avg_surgid['mortalty_reop_rate'] = (total_avg_surgid['Mortality_reop'] / total_avg_surgid['Year_sum_reop']) * 100 total_avg_surgid['Complics_reop_rate'] = (total_avg_surgid['Complics_reop'] / total_avg_surgid['Year_sum_reop']) * 100 total_avg_surgid.fillna(0, inplace=True) total_avg_surgid.to_csv('total_avg_surgid.csv') def groupby_mortality_siteid(): dfmort = df_all.groupby('SiteID')['MtOpD'].apply(lambda x: (x == 1).sum()).reset_index(name='Mortality') dfmort.to_csv("/tmp/pycharm_project_723/files/mortality siteid.csv") return dfmort def groupby_mortality_siteid_reop(): dfmort = df_reop.groupby('SiteID')['MtOpD'].apply(lambda x: (x == 1).sum()).reset_index(name='Mortality_reop') dfmort.to_csv("/tmp/pycharm_project_723/files/mortality siteid reop.csv") return dfmort def groupby_complics_siteid(): df_comp = df_all.groupby('SiteID')['Complics'].apply(lambda x: (x == 1).sum()).reset_index(name='Complics') dfmort = df_reop.groupby('SiteID')['Complics'].apply(lambda x: (x == 1).sum()).reset_index(name='Complics_reop') df20 = pd.merge(df_comp, dfmort, on='SiteID', how='outer') df20.to_csv("/tmp/pycharm_project_723/files/Complics siteid.csv") return df20 def groupby_mortality_surgid(): dfmort = df_all.groupby('surgid')['MtOpD'].apply(lambda x: (x == 1).sum()).reset_index(name='Mortality') dfmort.to_csv("/tmp/pycharm_project_723/files/mortality surgid.csv") return dfmort def groupby_mortality_surgid_reop(): dfmort = df_reop.groupby('surgid')['MtOpD'].apply(lambda x: (x == 1).sum()).reset_index(name='Mortality_reop') dfmort.to_csv("/tmp/pycharm_project_723/files/mortality surgid reop.csv") return dfmort def groupby_complics_surgid(): df_comp = df_all.groupby('surgid')['Complics'].apply(lambda x: (x == 1).sum()).reset_index(name='Complics') dfmort = df_reop.groupby('surgid')['Complics'].apply(lambda x: (x == 1).sum()).reset_index(name='Complics_reop') df20 = pd.merge(df_comp, dfmort, on='surgid', how='outer') df20.to_csv("/tmp/pycharm_project_723/files/Complics surgid.csv") return df20 def launch_reg_siteid(): df_sites = pd.read_csv("total_avg_site_id.csv") print("---------------------site id reg:--------------------------") print() X = df_sites[['total_year_avg', 'Year_avg_Firstop', 'Year_avg_reop', 'reop/total']] # here we have 2 variables for multiple regression. If you just want to use one variable for simple linear regression, then use X = df['Interest_Rate'] for example.Alternatively, you may add additional variables within the brackets Y = df_sites['mortalty_rate'] # with sklearn regr = linear_model.LinearRegression() regr.fit(X, Y) print('Intercept: \n', regr.intercept_) print('Coefficients: \n', regr.coef_) # with statsmodels X = sm.add_constant(X) # adding a constant model = sm.OLS(Y, X).fit() predictions = model.predict(X) print_model = model.summary() print(print_model) print() print() def launch_reg_surgid(): df_sites = pd.read_csv("total_avg_surgid.csv") print("------------------------ surg id reg:-------------------------------") print() X = df_sites[['total_year_avg', 'Year_avg_Firstop', 'Year_avg_reop','reop/total']] # here we have 2 variables for multiple regression. If you just want to use one variable for simple linear regression, then use X = df['Interest_Rate'] for example.Alternatively, you may add additional variables within the brackets Y = df_sites['mortalty_rate'] # with sklearn regr = linear_model.LinearRegression() regr.fit(X, Y) print('Intercept: \n', regr.intercept_) print('Coefficients: \n', regr.coef_) # with statsmodels X = sm.add_constant(X) # adding a constant model = sm.OLS(Y, X).fit() predictions = model.predict(X) print_model = model.summary() print(print_model) groupby_siteid() groupby_siteid_reop() groupby_surgid() groupby_surgid_reop() # launch_reg_siteid() # launch_reg_surgid()

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py

Python

politics/api.py

microstack/backend

40eb6b06fc44c6511ba71b89aff2eb19ff251f83

[ "MIT" ]

null

politics/api.py

microstack/backend

40eb6b06fc44c6511ba71b89aff2eb19ff251f83

[ "MIT" ]

5

2016-08-01T14:31:44.000Z

2016-09-03T15:28:56.000Z

politics/api.py

microstack/backend

40eb6b06fc44c6511ba71b89aff2eb19ff251f83

[ "MIT" ]

null

# -*- encoding: utf-8 -*- from flask import Flask from flask_restful import Resource from flask_restful import Api from settings import app api = Api(app)

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py

Python

staff_models/staff_groups/migrations/0001_initial.py

reimibeta/django-staff-models

ec42cb4ba30e87efeff34f152a5dc68b469f4784

[ "Apache-2.0" ]

null

staff_models/staff_groups/migrations/0001_initial.py

reimibeta/django-staff-models

ec42cb4ba30e87efeff34f152a5dc68b469f4784

[ "Apache-2.0" ]

null

staff_models/staff_groups/migrations/0001_initial.py

reimibeta/django-staff-models

ec42cb4ba30e87efeff34f152a5dc68b469f4784

[ "Apache-2.0" ]

null

# Generated by Django 3.1.7 on 2021-05-27 13:42 from django_datetime.datetime import datetime from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('staffs', '0001_initial'), ] operations = [ migrations.CreateModel( name='StaffWorker', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('assigned_date', models.DateField(default=datetime.dnow())), ('is_active', models.BooleanField(default=True)), ('staff', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='staffs.staff')), ], ), migrations.CreateModel( name='StaffSeller', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('assigned_date', models.DateField(default=datetime.dnow())), ('is_active', models.BooleanField(default=True)), ('staff', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='staffs.staff')), ], ), migrations.CreateModel( name='StaffManager', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('assigned_date', models.DateField(default=datetime.dnow())), ('is_active', models.BooleanField(default=True)), ('staff', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='staffs.staff')), ], ), migrations.CreateModel( name='StaffDeliver', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('assigned_date', models.DateField(default=datetime.dnow())), ('is_active', models.BooleanField(default=True)), ('staff', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='staffs.staff')), ], ), ]

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c1552a24d6b393762d65739b3527e84b98e20f8a

96

py

Python

venv/lib/python3.8/site-packages/setuptools/_distutils/version.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/setuptools/_distutils/version.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/setuptools/_distutils/version.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/b3/24/6f/3f1b8c4319dfb69b8829e444fb610b43f64c0b0309fa8f227be971759a

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null

1

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6

c19ee6a9218fb82eda5b51a8f8ca378c863a1b0e

37

py

Python

hrm_api/community/factories/generators/__init__.py

unknowncoder05/HRM

2a0ad62373fdaefafe533727b2d586d8f6327e87

[ "MIT" ]

null

hrm_api/community/factories/generators/__init__.py

unknowncoder05/HRM

2a0ad62373fdaefafe533727b2d586d8f6327e87

[ "MIT" ]

null

hrm_api/community/factories/generators/__init__.py

unknowncoder05/HRM

2a0ad62373fdaefafe533727b2d586d8f6327e87

[ "MIT" ]

null

from .full_feed import feed_generator

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c1de12bdcc31444de2314272889e55489e2aebb8

123

py

Python

helloworld/views.py

serverlessplus/django-example

9508c05723d7c05e6b697b8b573e1054e5cdb2e5

[ "Apache-2.0" ]

2

2019-11-30T14:23:08.000Z

2019-12-03T01:42:10.000Z

helloworld/views.py

serverlessplus/django-example

9508c05723d7c05e6b697b8b573e1054e5cdb2e5

[ "Apache-2.0" ]

null

helloworld/views.py

serverlessplus/django-example

9508c05723d7c05e6b697b8b573e1054e5cdb2e5

[ "Apache-2.0" ]

1

2019-04-29T04:29:54.000Z

from django.http import HttpResponse # Create your views here. def index(request): return HttpResponse('hello world')

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c1fce4a1bf7bfeaa9908a6debb5869f6f4324785

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py

Python

app/notification/__init__.py

tradaviahe1982/labman-master

0648410e1b449e8c21574a5bbbc0bcd9c38f1634

[ "MIT" ]

10

2016-08-18T07:12:37.000Z

2019-10-13T06:35:27.000Z

app/notification/__init__.py

PSOdAz/labman

591f698a12e474df08ccba2503174655cc6a2265

[ "MIT" ]

null

app/notification/__init__.py

PSOdAz/labman

591f698a12e474df08ccba2503174655cc6a2265

[ "MIT" ]

4

2018-09-06T15:49:59.000Z

2020-09-29T13:16:21.000Z

from .controller import mod_notification

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de0a63023e9153deb05b9dd458eaefb721553aa1

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py

Python

src/unittest/python/index_tests.py

donaldmcdougal/britecore-test

5cfed0c2259396aa10dbd1d0b9155a592c8007af

[ "Apache-2.0" ]

null

src/unittest/python/index_tests.py

donaldmcdougal/britecore-test

5cfed0c2259396aa10dbd1d0b9155a592c8007af

[ "Apache-2.0" ]

null

src/unittest/python/index_tests.py

donaldmcdougal/britecore-test

5cfed0c2259396aa10dbd1d0b9155a592c8007af

[ "Apache-2.0" ]

null

import unittest import requests import json import sys from database import FeatureRequest from datetime import date from index import app class IndexTest(unittest.TestCase): base_url = 'http://localhost:5000' def setUp(self): app.config['TESTING'] = True app.config['WTF_CSRF_METHODS'] = [] # This is the magic self.app = app.test_client() def test_server_should_get_home_page(self): page = requests.get(self.base_url) self.assertEquals(200, page.status_code) def test_server_should_get_three_clients(self): clients = requests.get(self.base_url + '/client') clientObjs = clients.content self.assertEquals(3, len(json.loads(clientObjs))) self.assertEquals(200, clients.status_code) def test_server_should_get_four_product_areas(self): pas = requests.get(self.base_url + '/product_area') pasObjs = pas.content self.assertEquals(4, len(json.loads(pasObjs))) self.assertEquals(200, pas.status_code) def test_server_should_get_no_frs(self): frs = requests.get(self.base_url + '/feature_request') frObjs = frs.content self.assertEquals(0, len(json.loads(frObjs))) self.assertEquals(200, frs.status_code) def test_server_should_create_fr(self): fr = FeatureRequest(title='FR', description='Test FR', client_id=1, client_priority=1, target_date='2018-06-30', product_area_id=1) frJson = fr.to_json() headers = {'Content-Type': 'application/json'} frSaved = requests.post(self.base_url + '/feature_request', data=json.dumps(frJson), headers=headers) self.assertEquals(200, frSaved.status_code) frSavedJson = json.loads(frSaved.content) self.assertEquals(1, frSavedJson['id']) # now delete the feature request deleted = requests.delete(self.base_url + '/feature_request/1') self.assertEquals(200, deleted.status_code) def test_server_should_get_all_frs(self): fr = FeatureRequest(title='FR', description='Test FR', client_id=1, client_priority=1, target_date='2018-06-30', product_area_id=1) frJson = fr.to_json() headers = {'Content-Type': 'application/json'} frSaved = requests.post(self.base_url + '/feature_request', data=json.dumps(frJson), headers=headers) frs = requests.get(self.base_url + '/feature_request') frObjs = frs.content self.assertEquals(1, len(json.loads(frObjs))) self.assertEquals(200, frs.status_code) # now delete the feature request deleted = requests.delete(self.base_url + '/feature_request/1') self.assertEquals(200, deleted.status_code) def test_server_should_get_one_fr(self): fr = FeatureRequest(title='FR', description='Test FR', client_id=1, client_priority=1, target_date='2018-06-30', product_area_id=1) frJson = fr.to_json() headers = {'Content-Type': 'application/json'} frSaved = requests.post(self.base_url + '/feature_request', data=json.dumps(frJson), headers=headers) frReturned = requests.get(self.base_url + '/feature_request/1') frObj = json.loads(frReturned.content) self.assertEquals(1, frObj['id']) self.assertEquals(200, frReturned.status_code) # now delete the feature request deleted = requests.delete(self.base_url + '/feature_request/1') self.assertEquals(200, deleted.status_code) def test_server_should_not_update_non_existent_fr(self): fr = FeatureRequest(title='FR', description='Test FR', client_id=1, client_priority=1, target_date='2018-06-30', product_area_id=1) frJson = fr.to_json() headers = {'Content-Type': 'application/json'} frSaved = requests.put(self.base_url + '/feature_request/1', data=json.dumps(frJson), headers=headers) self.assertEquals(404, frSaved.status_code) def test_server_should_update_fr(self): fr = FeatureRequest(title='FR', description='Test FR', client_id=1, client_priority=1, target_date='2018-06-30', product_area_id=1) frJson = fr.to_json() headers = {'Content-Type': 'application/json'} frSaved = requests.post(self.base_url + '/feature_request', data=json.dumps(frJson), headers=headers) frReturned = requests.get(self.base_url + '/feature_request/1') frObj = json.loads(frReturned.content) self.assertEquals(1, frObj['id']) self.assertEquals(200, frReturned.status_code) fr.description = 'Test FR 2' frJson = fr.to_json() frSaved = requests.put(self.base_url + '/feature_request/1', data=json.dumps(frJson), headers=headers) self.assertEquals(200, frSaved.status_code) # now delete the feature request deleted = requests.delete(self.base_url + '/feature_request/1') self.assertEquals(200, deleted.status_code) def test_server_should_not_delete_non_existent_fr(self): deleted = requests.delete(self.base_url + '/feature_request/1') self.assertEquals(404, deleted.status_code) def test_server_should_not_allow_delete_without_id(self): deleted = requests.delete(self.base_url + '/feature_request') self.assertEquals(405, deleted.status_code) def test_server_should_reassign_priorities(self): fr1 = FeatureRequest(title='FR', description='Test FR', client_id=1, client_priority=1, target_date='2018-06-30', product_area_id=1) frJson = fr1.to_json() headers = {'Content-Type': 'application/json'} frSaved = requests.post(self.base_url + '/feature_request', data=json.dumps(frJson), headers=headers) frReturned = requests.get(self.base_url + '/feature_request/1') frObj = json.loads(frReturned.content) self.assertEquals(1, frObj['id']) self.assertEquals(200, frReturned.status_code) fr2 = FeatureRequest(title='FR', description='Test FR 2', client_id=1, client_priority=1, target_date='2018-06-30', product_area_id=1) frJson = fr2.to_json() frSaved = requests.post(self.base_url + '/feature_request', data=json.dumps(frJson), headers=headers) self.assertEquals(200, frSaved.status_code) frReturned = requests.get(self.base_url + '/feature_request/1') frObj = json.loads(frReturned.content) self.assertEquals(2, frObj['client_priority']) self.assertEquals(200, frReturned.status_code) frJson = fr1.to_json() frSaved = requests.put(self.base_url + '/feature_request/1', data=json.dumps(frJson), headers=headers) self.assertEquals(200, frSaved.status_code) frReturned = requests.get(self.base_url + '/feature_request/1') frObj = json.loads(frReturned.content) self.assertEquals(1, frObj['client_priority']) self.assertEquals(200, frReturned.status_code) # now delete the feature requests deleted = requests.delete(self.base_url + '/feature_request/1') self.assertEquals(200, deleted.status_code) deleted = requests.delete(self.base_url + '/feature_request/2') self.assertEquals(200, deleted.status_code)

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0.673302

923

7,334

5.145179

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0.111181

0.062539

0.090967

0.836808

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null

0

1

0

null

0

6

e70637f323320c5430e7f38f82bb7a15b6d99441

185

py

Python

backend/src/awattprice/__init__.py

sp4c38/AWattPrice

a2eb20ac44b7c60a4072d23ae4bfc4f4c21ff2d6

[ "BSD-3-Clause" ]

8

2020-10-22T14:47:54.000Z

2022-01-23T20:17:51.000Z

backend/src/awattprice/__init__.py

sp4c38/AwattarApp

b914e8042e5cdcb84485d6d45133a00244662bda

[ "BSD-3-Clause" ]

75

2020-11-16T16:13:28.000Z

2022-03-27T09:45:56.000Z

backend/src/awattprice/__init__.py

sp4c38/AwattarApp

b914e8042e5cdcb84485d6d45133a00244662bda

[ "BSD-3-Clause" ]

4

2020-11-10T21:21:08.000Z

2021-10-20T12:35:33.000Z

from . import configurator from . import database from . import defaults from . import exceptions from . import notifications from . import orm from . import prices from . import utils

20.555556

27

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6.041667

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e70b0b4f6c6483258e8ae147b9fb6dd38581695f

1,361

py

Python

alpyro_msgs/trajectory_msgs/multidofjointtrajectorypoint.py

rho2/alpyro_msgs

b5a680976c40c83df70d61bb2db1de32a1cde8d3

[ "MIT" ]

1

2020-12-13T13:07:10.000Z

alpyro_msgs/trajectory_msgs/multidofjointtrajectorypoint.py

rho2/alpyro_msgs

b5a680976c40c83df70d61bb2db1de32a1cde8d3

[ "MIT" ]

null

alpyro_msgs/trajectory_msgs/multidofjointtrajectorypoint.py

rho2/alpyro_msgs

b5a680976c40c83df70d61bb2db1de32a1cde8d3

[ "MIT" ]

null

from typing import List from typing_extensions import Annotated from alpyro_msgs import RosMessage, duration from alpyro_msgs.geometry_msgs.transform import Transform from alpyro_msgs.geometry_msgs.twist import Twist class MultiDOFJointTrajectoryPoint(RosMessage): __msg_typ__ = "trajectory_msgs/MultiDOFJointTrajectoryPoint" __msg_def__ = "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" __md5_sum__ = "3ebe08d1abd5b65862d50e09430db776" transforms: Annotated[List[Transform], 0, 0] velocities: Annotated[List[Twist], 0, 0] accelerations: Annotated[List[Twist], 0, 0] time_from_start: duration

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6

e7588d97f65da25b70b968112d6976b62a987aad

107

py

Python

handler/__init__.py

jiss-software/jiss-rendering-service

f6f61898f2bbd36eb6fd7a387260fa2978f5b767

[ "Apache-2.0" ]

null

handler/__init__.py

jiss-software/jiss-rendering-service

f6f61898f2bbd36eb6fd7a387260fa2978f5b767

[ "Apache-2.0" ]

null

handler/__init__.py

jiss-software/jiss-rendering-service

f6f61898f2bbd36eb6fd7a387260fa2978f5b767

[ "Apache-2.0" ]

null

from HealthCheck import * from Img import * from Pdf import * from Resize import * from Watermark import *

17.833333

25

0.766355

15

107

5.466667

0.466667

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0

0.186916

107

5

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0

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true

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null

0

1

0

1

0

1

0

6

e7ac0b08c6c277fc45dcc92d9dcbc6f0820174dd

22,960

py

Python

tests/cli_test.py

kiwi-bop/zap-cli

55d3341622074f65af287fe07d43196a55c515f1

[ "MIT" ]

196

2015-06-22T06:23:28.000Z

2022-03-23T08:54:10.000Z

tests/cli_test.py

kiwi-bop/zap-cli

55d3341622074f65af287fe07d43196a55c515f1

[ "MIT" ]

89

2015-12-02T17:07:57.000Z

2022-02-03T10:20:50.000Z

tests/cli_test.py

kiwi-bop/zap-cli

55d3341622074f65af287fe07d43196a55c515f1

[ "MIT" ]

65

2015-12-14T16:27:59.000Z

2022-02-21T22:59:52.000Z

""" Tests for the ZAP CLI. .. moduleauthor:: Daniel Grunwell (grunny) """ import unittest from click.testing import CliRunner from ddt import ddt from mock import PropertyMock, Mock, MagicMock, patch import zapv2 from zapcli import zap_helper, cli from zapcli.exceptions import ZAPError @ddt class ZAPCliTestCase(unittest.TestCase): """Test ZAP CLI methods.""" def setUp(self): self.runner = CliRunner() cli.console = Mock() @patch('zapcli.zap_helper.ZAPHelper.start') def test_start_zap_daemon(self, helper_mock): """Test command to start ZAP daemon.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'start']) helper_mock.assert_called_with(options=None) self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.start') def test_start_zap_daemon_with_options(self, helper_mock): """Test command to start ZAP daemon.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'start', '--start-options', '-config api.key=12345']) helper_mock.assert_called_with(options='-config api.key=12345') self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.start') def test_start_zap_daemon_exception(self, helper_mock): """Test command to start ZAP daemon has an exit code of 1 when an exception is raised.""" helper_mock.side_effect = ZAPError('error') result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'start']) helper_mock.assert_called_with(options=None) self.assertEqual(result.exit_code, 2) @patch('zapcli.zap_helper.ZAPHelper.shutdown') def test_shutdown_zap_daemon(self, helper_mock): """Test command to shutdown ZAP daemon.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'shutdown']) helper_mock.assert_called_with() self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.shutdown') def test_shutdown_zap_daemon_exception(self, helper_mock): """Test command to shutdown ZAP daemon has an exit code of 1 when an exception is raised.""" helper_mock.side_effect = ZAPError('error') result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'shutdown']) helper_mock.assert_called_with() self.assertEqual(result.exit_code, 2) @patch('zapcli.zap_helper.ZAPHelper.is_running') def test_check_status_running(self, helper_mock): """Test the status command.""" helper_mock.return_value = True result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'status']) self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.is_running') def test_check_status_not_running(self, helper_mock): """Test the status command when ZAP is not running.""" helper_mock.return_value = False result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'status']) self.assertEqual(result.exit_code, 2) @patch('zapcli.zap_helper.ZAPHelper.wait_for_zap') @patch('zapcli.zap_helper.ZAPHelper.is_running') def test_check_status_timeout(self, running_mock, wait_mock): """Test the status command with a timeout.""" running_mock.return_value = False wait_mock.side_effect = ZAPError('error') result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'status', '-t', '0']) self.assertEqual(result.exit_code, 2) @patch('zapcli.zap_helper.ZAPHelper.wait_for_zap') @patch('zapcli.zap_helper.ZAPHelper.is_running') def test_check_status_timeout_success(self, running_mock, wait_mock): """Test the status command with a successful wait for ZAP to start.""" running_mock.return_value = False result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'status', '-t', '0']) self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.open_url') def test_open_url(self, helper_mock): """Test open URL method.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'open-url', 'http://localhost/']) helper_mock.assert_called_with('http://localhost/') self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.open_url') def test_open_url_no_url(self, helper_mock): """Test open URL method isn't called and an error status raised when no URL provided.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'open-url']) self.assertFalse(helper_mock.called) self.assertEqual(result.exit_code, 2) @patch('zapcli.zap_helper.ZAPHelper.run_spider') def test_spider_url(self, helper_mock): """Test spider URL method.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'spider', 'http://localhost/']) helper_mock.assert_called_with('http://localhost/', None, None) self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.run_spider') def test_spider_url_no_url(self, helper_mock): """Test spider URL method isn't called and an error status raised when no URL provided.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'spider']) self.assertFalse(helper_mock.called) self.assertEqual(result.exit_code, 2) @patch('zapcli.zap_helper.ZAPHelper.run_ajax_spider') def test_ajax_spider_url(self, helper_mock): """Test AJAX Spider URL method.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'ajax-spider', 'http://localhost/']) helper_mock.assert_called_with('http://localhost/') self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.run_ajax_spider') def test_ajax_spider_url_no_url(self, helper_mock): """Test AJAX Spider URL method isn't called and an error status raised when no URL provided.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'ajax-spider']) self.assertFalse(helper_mock.called) self.assertEqual(result.exit_code, 2) @patch('zapcli.cli.ZAPHelper') def test_quick_scan(self, helper_mock): """Testing quick scan.""" instance = helper_mock.return_value instance.scanner_groups = ['xss'] instance.scanner_group_map = {'xss': ['40012', '40014', '40016', '40017']} instance.alerts.return_value = [] result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'quick-scan', 'http://localhost/', '--self-contained', '--scanners', 'xss', '--spider', '--exclude', 'pattern']) self.assertEqual(result.exit_code, 0) @patch('zapcli.cli.ZAPHelper') def test_quick_scan_issues_found(self, helper_mock): """Testing quick scan.""" instance = helper_mock.return_value instance.scanner_groups = ['xss'] instance.scanner_group_map = {'xss': ['40012', '40014', '40016', '40017']} instance.alerts.return_value = [{ 'url': 'http://localhost/?test=%3C%2Fspan%3E%3Cscript%3Ealert%281%29%3B%3C%2Fscript%3E%3Cspan%3E', 'alert': 'Cross Site Scripting (Reflected)', 'cweid': '79', 'risk': 'High', }] result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'quick-scan', 'http://localhost/', '--self-contained', '--scanners', 'xss', '--spider', '--exclude', 'pattern']) self.assertEqual(result.exit_code, 1) @patch('zapcli.zap_helper.ZAPHelper.start') def test_quick_scan_start_error(self, helper_mock): """Testing quick scan.""" helper_mock.side_effect = ZAPError('error') result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'quick-scan', 'http://localhost/', '--self-contained']) self.assertEqual(result.exit_code, 2) @patch('zapcli.cli.ZAPHelper') def test_quick_scan_shutdown_error(self, helper_mock): """Testing quick scan.""" instance = helper_mock.return_value instance.alerts.return_value = [] instance.shutdown.side_effect = ZAPError('error') result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'quick-scan', 'http://localhost/', '--self-contained']) self.assertEqual(result.exit_code, 2) @patch('zapcli.cli.ZAPHelper') def test_quick_scan_enable_scanners_error(self, helper_mock): """Testing quick scan.""" instance = helper_mock.return_value instance.alerts.return_value = [] instance.scanner_groups = ['xss'] instance.scanner_group_map = {'xss': ['40012', '40014', '40016', '40017']} instance.set_enabled_scanners.side_effect = ZAPError('error') result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'quick-scan', 'http://localhost/', '--scanners', 'xss']) self.assertEqual(result.exit_code, 2) @patch('zapcli.cli.ZAPHelper') def test_quick_scan_exclude_from_all_error(self, helper_mock): """Testing quick scan.""" instance = helper_mock.return_value instance.alerts.return_value = [] instance.exclude_from_all.side_effect = ZAPError('error') result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'quick-scan', 'http://localhost/', '--exclude', 'pattern']) self.assertEqual(result.exit_code, 2) @patch('zapv2.ascan') def test_active_scanners_enable(self, ascan_mock): """Test enabling active scanners.""" self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'scanners', 'enable', '--scanners', '1,2,3']) ascan_mock.return_value.enable_scanners.assert_called_with('1,2,3') @patch('zapv2.ascan') def test_active_scanners_disable(self, ascan_mock): """Test enabling active scanners.""" self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'scanners', 'disable', '--scanners', '1,2,3']) ascan_mock.return_value.disable_scanners.assert_called_with('1,2,3') @patch('zapv2.ascan') def test_active_scan_policies_enable(self, ascan_mock): """Test enabling active scan policies method.""" self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'policies', 'enable', '--policy-ids', '1,2,3']) ascan_mock.return_value.set_enabled_policies.assert_called_with('1,2,3') @patch('zapcli.zap_helper.ZAPHelper.exclude_from_all') def test_exclude_from_scanners(self, helper_mock): """Test exclude from scanners command.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'exclude', 'pattern']) helper_mock.assert_called_with('pattern') self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.exclude_from_all') def test_exclude_from_scanners_error(self, helper_mock): """Test exclude from scanners command with error raised.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'exclude', '[']) self.assertFalse(helper_mock.called) self.assertEqual(result.exit_code, 2) @patch('zapv2.script.enable') def test_enable_script(self, enable_mock): """Test command to enable a script.""" enable_mock.return_value = 'OK' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'scripts', 'enable', 'Foo.js']) enable_mock.assert_called_with('Foo.js') self.assertEqual(result.exit_code, 0) @patch('zapv2.script.enable') def test_enable_script_error(self, enable_mock): """Test command to enable a script with error raised.""" enable_mock.return_value = 'Does Not Exist' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'scripts', 'enable', 'Foo.js']) enable_mock.assert_called_with('Foo.js') self.assertEqual(result.exit_code, 2) @patch('zapv2.script.disable') def test_disable_script(self, disable_mock): """Test command to disable a script.""" disable_mock.return_value = 'OK' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'scripts', 'disable', 'Foo.js']) disable_mock.assert_called_with('Foo.js') self.assertEqual(result.exit_code, 0) @patch('zapv2.script.disable') def test_disable_script_error(self, disable_mock): """Test command to disable a script with error raised.""" disable_mock.return_value = 'Does Not Exist' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'scripts', 'disable', 'Foo.js']) disable_mock.assert_called_with('Foo.js') self.assertEqual(result.exit_code, 2) @patch('zapv2.script.remove') def test_remove_script(self, remove_mock): """Test command to remove a script.""" remove_mock.return_value = 'OK' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'scripts', 'remove', 'Foo.js']) remove_mock.assert_called_with('Foo.js') self.assertEqual(result.exit_code, 0) @patch('zapv2.script.remove') def test_remove_script_error(self, remove_mock): """Test command to remove a script with error raised.""" remove_mock.return_value = 'Does Not Exist' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'scripts', 'remove', 'Foo.js']) remove_mock.assert_called_with('Foo.js') self.assertEqual(result.exit_code, 2) @patch('zapv2.script') @patch('os.path.isfile') def test_load_script(self, isfile_mock, script_mock): """Test command to load a script.""" script_name = 'Foo.js' script_type = 'proxy' engine = 'Oracle Nashorn' valid_engines = ['ECMAScript : Oracle Nashorn'] isfile_mock.return_value = True class_mock = MagicMock() class_mock.load.return_value = 'OK' engines = PropertyMock(return_value=valid_engines) type(class_mock).list_engines = engines script_mock.return_value = class_mock result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'scripts', 'load', '--name', script_name, '--script-type', script_type, '--engine', engine, '--file-path', script_name]) class_mock.load.assert_called_with(script_name, script_type, engine, script_name, scriptdescription='') self.assertEqual(result.exit_code, 0) @patch('zapv2.script') @patch('os.path.isfile') def test_load_script_file_error(self, isfile_mock, script_mock): """Testing that an error is raised when an invalid file is provided.""" isfile_mock.return_value = False result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'scripts', 'load', '--name', 'Foo.js', '--script-type', 'proxy', '--engine', 'Oracle Nashorn', '--file-path', 'Foo.js']) self.assertEqual(result.exit_code, 2) self.assertFalse(script_mock.return_value.load.called) @patch('zapv2.script') @patch('os.path.isfile') def test_load_script_engine_error(self, isfile_mock, script_mock): """Testing that an error is raised when an invalid engine is provided.""" isfile_mock.return_value = True valid_engines = ['ECMAScript : Oracle Nashorn'] class_mock = MagicMock() class_mock.load.return_value = 'OK' engines = PropertyMock(return_value=valid_engines) type(class_mock).list_engines = engines script_mock.return_value = class_mock result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'scripts', 'load', '--name', 'Foo.js', '--script-type', 'proxy', '--engine', 'Invalid Engine', '--file-path', 'Foo.js']) self.assertEqual(result.exit_code, 2) self.assertFalse(class_mock.load.called) @patch('zapv2.script') @patch('os.path.isfile') def test_load_script_unknown_error(self, isfile_mock, script_mock): """Testing that an error is raised when an erro response is received from the API.""" script_name = 'Foo.js' script_type = 'proxy' engine = 'Oracle Nashorn' valid_engines = ['ECMAScript : Oracle Nashorn'] isfile_mock.return_value = True class_mock = MagicMock() class_mock.load.return_value = 'Internal Error' engines = PropertyMock(return_value=valid_engines) type(class_mock).list_engines = engines script_mock.return_value = class_mock result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', 'scripts', 'load', '--name', script_name, '--script-type', script_type, '--engine', engine, '--file-path', script_name]) self.assertEqual(result.exit_code, 2) class_mock.load.assert_called_with(script_name, script_type, engine, script_name, scriptdescription='') @patch('zapcli.zap_helper.ZAPHelper.xml_report') def test_xml_report(self, report_mock): """Testing XML report.""" result = self.runner.invoke(cli.cli, ['report', '-o', 'foo.xml', '-f', 'xml']) report_mock.assert_called_with('foo.xml') self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.md_report') def test_md_report(self, report_mock): """Testing MD report.""" result = self.runner.invoke(cli.cli, ['report', '-o', 'foo.md', '-f', 'md']) report_mock.assert_called_with('foo.md') self.assertEqual(result.exit_code, 0) @patch('zapcli.zap_helper.ZAPHelper.html_report') def test_html_report(self, report_mock): """Testing HTML report.""" result = self.runner.invoke(cli.cli, ['report', '-o', 'foo.html', '-f', 'html']) report_mock.assert_called_with('foo.html') self.assertEqual(result.exit_code, 0) @patch('zapv2.context.include_in_context') def test_context_include(self, context_mock): """Testing including a regex in a given context.""" context_mock.return_value = 'OK' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'context', 'include', '--name', 'Test', '--pattern', 'zap-cli']) context_mock.assert_called_with(contextname='Test', regex='zap-cli') self.assertEqual(result.exit_code, 0) @patch('zapv2.context.include_in_context') def test_context_include_error(self, context_mock): """Testing that an error is reported when an invalid response is received from the API.""" context_mock.return_value = 'Error' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'context', 'include', '--name', 'Test', '--pattern', 'zap-cli']) context_mock.assert_called_with(contextname='Test', regex='zap-cli') self.assertEqual(result.exit_code, 2) def test_context_include_regex_error(self): """Testing that an error is reported when providing an invalid regex.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'context', 'include', '--name', 'Test', '--pattern', '[']) self.assertEqual(result.exit_code, 2) @patch('zapv2.context.exclude_from_context') def test_context_exclude(self, context_mock): """Testing excluding a regex from a given context.""" context_mock.return_value = 'OK' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'context', 'exclude', '--name', 'Test', '--pattern', 'zap-cli']) context_mock.assert_called_with(contextname='Test', regex='zap-cli') self.assertEqual(result.exit_code, 0) @patch('zapv2.context.exclude_from_context') def test_context_exclude_error(self, context_mock): """Testing that an error is reported when an invalid response is received from the API.""" context_mock.return_value = 'Error' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'context', 'exclude', '--name', 'Test', '--pattern', 'zap-cli']) context_mock.assert_called_with(contextname='Test', regex='zap-cli') self.assertEqual(result.exit_code, 2) def test_context_exclude_regex_error(self): """Testing that an error is reported when providing an invalid regex.""" result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'context', 'exclude', '--name', 'Test', '--pattern', '[']) self.assertEqual(result.exit_code, 2) @patch('zapv2.core.load_session') @patch('os.path.isfile') def test_load_session(self, isfile_mock, session_mock): """Test loading a session from a file.""" isfile_mock.return_value = True file_path = '/path/to/zap' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'session', 'load', file_path]) self.assertEqual(result.exit_code, 0) session_mock.assert_called_with(file_path) @patch('zapv2.core.load_session') @patch('os.path.isfile') def test_load_session_error(self, isfile_mock, session_mock): """Testing that an error is reported when providing an invalid file path.""" isfile_mock.return_value = False file_path = 'invalid' result = self.runner.invoke(cli.cli, ['--boring', '--api-key', '', '--verbose', 'session', 'load', file_path]) self.assertEqual(result.exit_code, 2) self.assertFalse(session_mock.called) if __name__ == '__main__': unittest.main()

48.851064

111

0.610845

2,731

22,960

4.935189

0.072867

0.035614

0.055795

0.066256

0.903843

0.872014

0.855246

0.843152

0.801232

0.758792

0

0.009883

0.233188

22,960

469

112

48.955224

0.755651

0.098214

0

0.646377

0

0.002899

0.212348

0.051327

0

0.228986

1

0.13913

false

0

0.02029

0

0.162319

0

null

0

1

0

null

0

6

e7bcf9a298b487b0de8264b2bea7b7ff24d60dcc

376

py

Python

spelling_bee/__init__.py

JEHoctor/spelling-bee

f06559e22efff6cddd531cc7ee1e96ce7242aad5

[ "MIT" ]

null

spelling_bee/__init__.py

JEHoctor/spelling-bee

f06559e22efff6cddd531cc7ee1e96ce7242aad5

[ "MIT" ]

null

spelling_bee/__init__.py

JEHoctor/spelling-bee

f06559e22efff6cddd531cc7ee1e96ce7242aad5

[ "MIT" ]

null

import spelling_bee.archive as archive import spelling_bee.data_model as data_model import spelling_bee.dictionary as dictionary import spelling_bee.folders as folders import spelling_bee.markov_search as markov_search import spelling_bee.scrape as scrape from spelling_bee.dictionary_search import dictionary_search from spelling_bee.nyt_scraping import HintData, PuzzleData

41.777778

60

0.888298

56

376

5.696429

0.303571

0.275862

0.319749

0

0.087766

376

8

61

47

0.930029

0

1

0

true

0

1

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1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

99c2da1b103ecac4956b3c0b8162f07233b0c33a

71

py

Python

pprint_blocks.py

f-prime/Severus

9edfab52ecfb9d8db3095a74feef12de1b24d75f

[ "MIT" ]

null

pprint_blocks.py

f-prime/Severus

9edfab52ecfb9d8db3095a74feef12de1b24d75f

[ "MIT" ]

1

2021-04-30T20:52:55.000Z

pprint_blocks.py

f-prime/Severus

9edfab52ecfb9d8db3095a74feef12de1b24d75f

[ "MIT" ]

null

import pprint import json pprint.pprint(json.load(open("blocks.db")))

14.2

43

0.760563

11

71

4.909091

0.636364

0

0.084507

71

4

44

17.75

0.830769

0

0.126761

0

1

0

true

0

0.666667

0

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

99d581393e75bd8e7dd86b9d9e45aaaa84d8a38b

30

py

Python

on_excel/workbook/__init__.py

yuyuko-C/pyworkkit

7785356bcbc93f56c81f3d78362598d1a6ba10c2

[ "Apache-2.0" ]

null

on_excel/workbook/__init__.py

yuyuko-C/pyworkkit

7785356bcbc93f56c81f3d78362598d1a6ba10c2

[ "Apache-2.0" ]

null

on_excel/workbook/__init__.py

yuyuko-C/pyworkkit

7785356bcbc93f56c81f3d78362598d1a6ba10c2

[ "Apache-2.0" ]

null

from .workbook import Workbook

30

0.866667

4

30

6.5

0.75

0

0.1

30

1

30

0.962963

0

1

0

true

0

1

0

1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

6

99e1436302ccca34f9f1f38c42aad7e885a6824e

2,770

py

Python

app/validators.py

gtindo/Opus

ae093b47eaeac935cac0a78b558a36a95d7bbb69

[ "MIT" ]

2

2019-10-25T19:11:08.000Z

2020-10-29T12:48:08.000Z

app/validators.py

gtindo/Opus

ae093b47eaeac935cac0a78b558a36a95d7bbb69

[ "MIT" ]

6

2019-11-07T11:31:22.000Z

2021-06-02T00:31:50.000Z

app/validators.py

gtindo/Opus

ae093b47eaeac935cac0a78b558a36a95d7bbb69

[ "MIT" ]

null

from jsonschema import validate, ValidationError def validate_compare_input(message): """ validate input for function that compare two songs :param message: message received by microservice :type message: `dict` :return: tuple with status and error message :rtype: `tuple` """ input_schema = { "type": "object", "required": ["action", "song_1", "song_2"], "properties": { "action": {"type": "string", "description": "Function to call"}, "song_1": { "type": "object", "required": ["file_id", "name", "content", "extension"], "properties": { "name": {"type": "string"}, "file_id": {"type": "string", "description": "file_id as saved in a database"}, "content": {"type": "string", "description": "file converted to base64"}, "extension": {"type": "string"} } }, "song_2": { "type": "object", "required": ["file_id", "name", "content", "extension"], "properties": { "name": {"type": "string"}, "file_id": {"type": "string", "description": "file_id as saved in a database"}, "content": {"type": "string", "description": "file converted to base64"}, "extension": {"type": "string"} } } } } status = False error = "" try: status = validate(message, input_schema) except ValidationError as e: error = "Validation Error: " + str(e) return status, error def validate_fingerprint_input(message): """ Validate input for function that generate fingerprint of a song :param message: :return: :rtype: `tuple` """ input_schema = { "type": "object", "required": ["action", "song"], "properties": { "action": {"type": "string", "description": "Function to call"}, "song": { "type": "object", "required": ["file_id", "name", "content", "extension"], "properties": { "name": {"type": "string"}, "file_id": {"type": "string", "description": "file_id as saved in a database"}, "content": {"type": "string", "description": "file converted to base64"}, "extension": {"type": "string"} } } } } status = False error = "" try: status = validate(message, input_schema) except ValidationError as e: error = "Validation Error: " + str(e) return status, error

32.97619

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0.486643

241

2,770

5.506224

0.248963

0.105501

0.126601

0.113037

0.814619

0.754333

0.597589

0

0.005634

0.359206

2,770

83

100

33.373494

0.741972

0.103971

0

0.704918

0

0.336773

0

1

0.032787

false

0

0.016393

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0.081967

0.016393

0

null

0

1

0

1

0

null

0

6

820c5d0f6e34d6f8a09fa2d5a16ffe7d5e8bd5c4

184

py

Python

tests/test_build_undefined.py

FunTimeCoding/python-utility

e91df316684a07161aae33576329f9092d2e97e6

[ "MIT" ]

null

tests/test_build_undefined.py

FunTimeCoding/python-utility

e91df316684a07161aae33576329f9092d2e97e6

[ "MIT" ]

null

tests/test_build_undefined.py

FunTimeCoding/python-utility

e91df316684a07161aae33576329f9092d2e97e6

[ "MIT" ]

null

from python_utility.build_undefined import Build def test_build_undefined() -> None: assert Build.GIT_TAG != '' assert Build.GIT_HASH != '' assert Build.BUILD_DATE != ''

23

48

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5.083333

0.583333

0.270492

0.229508

0

0.184783

184

7

49

26.285714

0.813333

0

0.6

1

0.2

true

0

0.2

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0.4

0

1

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null

1

0

1

0

null

0

1

0

1

0

6

821ed1bd79a32dc4c720ccfdb9246254d39c5c3d

249

py

Python

deep_recommenders/estimator/models/ranking/__init__.py

LongmaoTeamTf/deep_recommenders

168dabe4ef3a38cc582d019766cf3de576bc8af1

[ "Apache-2.0" ]

143

2021-02-04T11:28:07.000Z

2022-03-28T09:02:00.000Z

deep_recommenders/estimator/models/ranking/__init__.py

LongmaoTeamTf/Deep-NLP

168dabe4ef3a38cc582d019766cf3de576bc8af1

[ "Apache-2.0" ]

7

2021-03-04T23:59:31.000Z

2022-01-27T05:13:02.000Z

deep_recommenders/estimator/models/ranking/__init__.py

LongmaoTeamTf/deep_recommenders

168dabe4ef3a38cc582d019766cf3de576bc8af1

[ "Apache-2.0" ]

40

2021-02-08T15:26:53.000Z

2022-03-29T08:41:14.000Z

#!/usr/bin/python3 # -*- coding: utf-8 -*- from deep_recommenders.estimator.models.ranking.fnn import FNN from deep_recommenders.estimator.models.ranking.wide_and_deep import WDL from deep_recommenders.estimator.models.ranking.deepfm import DeepFM

35.571429

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0.819277

35

249

5.685714

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0.120603

0.301508

0.437186

0.633166

0

0.008696

0.076305

249

6

73

41.5

0.856522

0.156627

0

1

0

true

0

1

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null

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1

0

null

0

1

0

1

0

1

0

6

822f35cc44a04d1aa50051a5fe4804400405632c

25,249

py

Python

karrio/api/api_api.py

karrioapi/karrio-python

7b7e3b386016a138a5668644884a7a9fc497b15c

[ "MIT" ]

1

2018-12-28T18:32:37.000Z

karrio/api/api_api.py

karrioapi/karrio-python

7b7e3b386016a138a5668644884a7a9fc497b15c

[ "MIT" ]

null

karrio/api/api_api.py

karrioapi/karrio-python

7b7e3b386016a138a5668644884a7a9fc497b15c

[ "MIT" ]

null

""" Karrio API ## API Reference Karrio is an open source multi-carrier shipping API that simplifies the integration of logistic carrier services. The Karrio API is organized around REST. Our API has predictable resource-oriented URLs, accepts JSON-encoded request bodies, returns JSON-encoded responses, and uses standard HTTP response codes, authentication, and verbs. The Karrio API differs for every account as we release new versions. These docs are customized to your version of the API. ## Versioning When backwards-incompatible changes are made to the API, a new, dated version is released. The current version is `2022.4`. Read our API changelog and to learn more about backwards compatibility. As a precaution, use API versioning to check a new API version before committing to an upgrade. ## Pagination All top-level API resources have support for bulk fetches via \"list\" API methods. For instance, you can list addresses, list shipments, and list trackers. These list API methods share a common structure, taking at least these two parameters: limit, and offset. Karrio utilizes offset-based pagination via the offset and limit parameters. Both parameters take a number as value (see below) and return objects in reverse chronological order. The offset parameter returns objects listed after an index. The limit parameter take a limit on the number of objects to be returned from 1 to 100. ```json { \"next\": \"/v1/shipments?limit=25&offset=25\", \"previous\": \"/v1/shipments?limit=25&offset=25\", \"results\": [ ] } ``` ## Environments The Karrio API offer the possibility to create and retrieve certain objects in `test_mode`. In development, it is therefore possible to add carrier connections, get live rates, buy labels, create trackers and schedule pickups in `test_mode`. # noqa: E501 The version of the OpenAPI document: 2022.4 Contact: Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from karrio.api_client import ApiClient, Endpoint as _Endpoint from karrio.model_utils import ( # noqa: F401 check_allowed_values, check_validations, date, datetime, file_type, none_type, validate_and_convert_types ) from karrio.model.metadata import Metadata from karrio.model.references import References from karrio.model.token_obtain_pair import TokenObtainPair from karrio.model.token_pair import TokenPair from karrio.model.token_refresh import TokenRefresh from karrio.model.token_verify import TokenVerify class APIApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client self.authenticate_endpoint = _Endpoint( settings={ 'response_type': (TokenPair,), 'auth': [ 'Token' ], 'endpoint_path': '/api/token', 'operation_id': 'authenticate', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'data', ], 'required': [ 'data', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'data': (TokenObtainPair,), }, 'attribute_map': { }, 'location_map': { 'data': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) self.data_endpoint = _Endpoint( settings={ 'response_type': (References,), 'auth': [ 'Token' ], 'endpoint_path': '/v1/references', 'operation_id': 'data', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { }, 'attribute_map': { }, 'location_map': { }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.ping_endpoint = _Endpoint( settings={ 'response_type': (Metadata,), 'auth': [ 'Token' ], 'endpoint_path': '/', 'operation_id': 'ping', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { }, 'attribute_map': { }, 'location_map': { }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client ) self.refresh_token_endpoint = _Endpoint( settings={ 'response_type': (TokenPair,), 'auth': [ 'Token' ], 'endpoint_path': '/api/token/refresh', 'operation_id': 'refresh_token', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'data', ], 'required': [ 'data', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'data': (TokenRefresh,), }, 'attribute_map': { }, 'location_map': { 'data': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) self.verify_token_endpoint = _Endpoint( settings={ 'response_type': ({str: ({str: (bool, date, datetime, dict, float, int, list, str, none_type)},)},), 'auth': [ 'Token' ], 'endpoint_path': '/api/token/verify', 'operation_id': 'verify_token', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'data', ], 'required': [ 'data', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'data': (TokenVerify,), }, 'attribute_map': { }, 'location_map': { 'data': 'body', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'application/json' ] }, api_client=api_client ) def authenticate( self, data, **kwargs ): """Obtain auth token pair # noqa: E501 Authenticate the user and return a token pair # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.authenticate(data, async_req=True) >>> result = thread.get() Args: data (TokenObtainPair): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: TokenPair If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_spec_property_naming'] = kwargs.get( '_spec_property_naming', False ) kwargs['_content_type'] = kwargs.get( '_content_type') kwargs['_host_index'] = kwargs.get('_host_index') kwargs['data'] = \ data return self.authenticate_endpoint.call_with_http_info(**kwargs) def data( self, **kwargs ): """Data References # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.data(async_req=True) >>> result = thread.get() Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: References If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_spec_property_naming'] = kwargs.get( '_spec_property_naming', False ) kwargs['_content_type'] = kwargs.get( '_content_type') kwargs['_host_index'] = kwargs.get('_host_index') return self.data_endpoint.call_with_http_info(**kwargs) def ping( self, **kwargs ): """Instance Metadata # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.ping(async_req=True) >>> result = thread.get() Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: Metadata If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_spec_property_naming'] = kwargs.get( '_spec_property_naming', False ) kwargs['_content_type'] = kwargs.get( '_content_type') kwargs['_host_index'] = kwargs.get('_host_index') return self.ping_endpoint.call_with_http_info(**kwargs) def refresh_token( self, data, **kwargs ): """Refresh auth token # noqa: E501 Authenticate the user and return a token pair # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.refresh_token(data, async_req=True) >>> result = thread.get() Args: data (TokenRefresh): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: TokenPair If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_spec_property_naming'] = kwargs.get( '_spec_property_naming', False ) kwargs['_content_type'] = kwargs.get( '_content_type') kwargs['_host_index'] = kwargs.get('_host_index') kwargs['data'] = \ data return self.refresh_token_endpoint.call_with_http_info(**kwargs) def verify_token( self, data, **kwargs ): """Verify auth token # noqa: E501 Verify an existent authentication token # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.verify_token(data, async_req=True) >>> result = thread.get() Args: data (TokenVerify): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (default) _content_type (str/None): force body content-type. Default is None and content-type will be predicted by allowed content-types and body. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: {str: ({str: (bool, date, datetime, dict, float, int, list, str, none_type)},)} If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_spec_property_naming'] = kwargs.get( '_spec_property_naming', False ) kwargs['_content_type'] = kwargs.get( '_content_type') kwargs['_host_index'] = kwargs.get('_host_index') kwargs['data'] = \ data return self.verify_token_endpoint.call_with_http_info(**kwargs)

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Python

tests/statisticslearning_tests.py

anish-lu-yihe/abcpy

be58367c4d7e38ee696238e3d8405e8abe2defb7

[ "BSD-3-Clause-Clear" ]

1

2021-08-24T10:40:55.000Z

tests/statisticslearning_tests.py

anish-lu-yihe/abcpy

be58367c4d7e38ee696238e3d8405e8abe2defb7

[ "BSD-3-Clause-Clear" ]

null

tests/statisticslearning_tests.py

anish-lu-yihe/abcpy

be58367c4d7e38ee696238e3d8405e8abe2defb7

[ "BSD-3-Clause-Clear" ]

null

import unittest import numpy as np from abcpy.backends import BackendDummy as Backend from abcpy.continuousmodels import Normal from abcpy.continuousmodels import Uniform from abcpy.statistics import Identity from abcpy.statisticslearning import Semiautomatic, SemiautomaticNN, TripletDistanceLearning, \ ContrastiveDistanceLearning try: import torch except ImportError: has_torch = False else: has_torch = True class SemiautomaticTests(unittest.TestCase): def setUp(self): # define prior and model sigma = Uniform([[10], [20]]) mu = Normal([0, 1]) Y = Normal([mu, sigma]) # define backend self.backend = Backend() # define statistics self.statistics_cal = Identity(degree=3, cross=False) # Initialize statistics learning self.statisticslearning = Semiautomatic([Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1) def test_transformation(self): # Transform statistics extraction self.new_statistics_calculator = self.statisticslearning.get_statistics() # Simulate observed data Obs = Normal([2, 4]) y_obs = Obs.forward_simulate(Obs.get_input_values(), 1)[0].tolist() extracted_statistics = self.new_statistics_calculator.statistics(y_obs) self.assertEqual(np.shape(extracted_statistics), (1, 2)) # NOTE we cannot test this, since the linear regression used uses a random number generator (which we cannot access and is in C). Therefore, our results differ and testing might fail # self.assertLess(extracted_statistics[0,0] - 0.00215507052338, 10e-2) # self.assertLess(extracted_statistics[0,1] - (-0.0058023274456), 10e-2) class SemiautomaticNNTests(unittest.TestCase): def setUp(self): # define prior and model sigma = Uniform([[10], [20]]) mu = Normal([0, 1]) self.Y = Normal([mu, sigma]) # define backend self.backend = Backend() # define statistics self.statistics_cal = Identity(degree=3, cross=False) if has_torch: # Initialize statistics learning self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=100, n_samples_per_param=1, seed=1, n_epochs=10, scale_samples=False, use_tqdm=False) # with sample scaler: self.statisticslearning_with_scaler = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=100, n_samples_per_param=1, seed=1, n_epochs=10, scale_samples=True, use_tqdm=False) def test_initialization(self): if not has_torch: self.assertRaises(ImportError, SemiautomaticNN, [self.Y], self.statistics_cal, self.backend) def test_transformation(self): if has_torch: # Transform statistics extraction self.new_statistics_calculator = self.statisticslearning.get_statistics() self.new_statistics_calculator_with_scaler = self.statisticslearning_with_scaler.get_statistics() # Simulate observed data Obs = Normal([2, 4]) y_obs = Obs.forward_simulate(Obs.get_input_values(), 1)[0].tolist() extracted_statistics = self.new_statistics_calculator.statistics(y_obs) self.assertEqual(np.shape(extracted_statistics), (1, 2)) self.assertRaises(RuntimeError, self.new_statistics_calculator.statistics, [np.array([1, 2])]) extracted_statistics = self.new_statistics_calculator_with_scaler.statistics(y_obs) self.assertEqual(np.shape(extracted_statistics), (1, 2)) self.assertRaises(ValueError, self.new_statistics_calculator_with_scaler.statistics, [np.array([1, 2])]) def test_errors(self): if has_torch: with self.assertRaises(RuntimeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, parameters=np.ones((100, 1))) with self.assertRaises(RuntimeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, simulations=np.ones((100, 1))) with self.assertRaises(RuntimeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, simulations=np.ones((100, 1, 3))) with self.assertRaises(RuntimeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, parameters=np.ones((100, 1, 2))) with self.assertRaises(RuntimeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, simulations=np.ones((100, 1)), parameters=np.zeros((99, 1))) with self.assertRaises(RuntimeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, parameters_val=np.ones((100, 1))) with self.assertRaises(RuntimeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, simulations_val=np.ones((100, 1))) with self.assertRaises(RuntimeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, simulations_val=np.ones((100, 1, 3))) with self.assertRaises(RuntimeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, parameters_val=np.ones((100, 1, 2))) with self.assertRaises(RuntimeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, simulations_val=np.ones((100, 1)), parameters_val=np.zeros((99, 1))) with self.assertRaises(TypeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, parameters=[i for i in range(10)], simulations=[i for i in range(10)]) with self.assertRaises(TypeError): self.statisticslearning = SemiautomaticNN([self.Y], self.statistics_cal, self.backend, n_samples=1000, n_samples_per_param=1, seed=1, parameters_val=[i for i in range(10)], simulations_val=[i for i in range(10)]) class ContrastiveDistanceLearningTests(unittest.TestCase): def setUp(self): # define prior and model sigma = Uniform([[10], [20]]) mu = Normal([0, 1]) self.Y = Normal([mu, sigma]) # define backend self.backend = Backend() # define statistics self.statistics_cal = Identity(degree=3, cross=False) if has_torch: # Initialize statistics learning self.statisticslearning = ContrastiveDistanceLearning([self.Y], self.statistics_cal, self.backend, n_samples=100, n_samples_per_param=1, seed=1, n_epochs=10, scale_samples=False, use_tqdm=False) # with sample scaler: self.statisticslearning_with_scaler = ContrastiveDistanceLearning([self.Y], self.statistics_cal, self.backend, n_samples=100, n_samples_per_param=1, seed=1, n_epochs=10, scale_samples=True, use_tqdm=False) def test_initialization(self): if not has_torch: self.assertRaises(ImportError, ContrastiveDistanceLearning, [self.Y], self.statistics_cal, self.backend) def test_transformation(self): if has_torch: # Transform statistics extraction self.new_statistics_calculator = self.statisticslearning.get_statistics() self.new_statistics_calculator_with_scaler = self.statisticslearning_with_scaler.get_statistics() # Simulate observed data Obs = Normal([2, 4]) y_obs = Obs.forward_simulate(Obs.get_input_values(), 1)[0].tolist() extracted_statistics = self.new_statistics_calculator.statistics(y_obs) self.assertEqual(np.shape(extracted_statistics), (1, 2)) self.assertRaises(RuntimeError, self.new_statistics_calculator.statistics, [np.array([1, 2])]) extracted_statistics = self.new_statistics_calculator_with_scaler.statistics(y_obs) self.assertEqual(np.shape(extracted_statistics), (1, 2)) self.assertRaises(ValueError, self.new_statistics_calculator_with_scaler.statistics, [np.array([1, 2])]) class TripletDistanceLearningTests(unittest.TestCase): def setUp(self): # define prior and model sigma = Uniform([[10], [20]]) mu = Normal([0, 1]) self.Y = Normal([mu, sigma]) # define backend self.backend = Backend() # define statistics self.statistics_cal = Identity(degree=3, cross=False) if has_torch: # Initialize statistics learning self.statisticslearning = TripletDistanceLearning([self.Y], self.statistics_cal, self.backend, scale_samples=False, use_tqdm=False, n_samples=100, n_samples_per_param=1, seed=1, n_epochs=10) # with sample scaler: self.statisticslearning_with_scaler = TripletDistanceLearning([self.Y], self.statistics_cal, self.backend, scale_samples=True, use_tqdm=False, n_samples=100, n_samples_per_param=1, seed=1, n_epochs=10) def test_initialization(self): if not has_torch: self.assertRaises(ImportError, TripletDistanceLearning, [self.Y], self.statistics_cal, self.backend) def test_transformation(self): if has_torch: # Transform statistics extraction self.new_statistics_calculator = self.statisticslearning.get_statistics() self.new_statistics_calculator_with_scaler = self.statisticslearning_with_scaler.get_statistics() # Simulate observed data Obs = Normal([2, 4]) y_obs = Obs.forward_simulate(Obs.get_input_values(), 1)[0].tolist() extracted_statistics = self.new_statistics_calculator.statistics(y_obs) self.assertEqual(np.shape(extracted_statistics), (1, 2)) self.assertRaises(RuntimeError, self.new_statistics_calculator.statistics, [np.array([1, 2])]) extracted_statistics = self.new_statistics_calculator_with_scaler.statistics(y_obs) self.assertEqual(np.shape(extracted_statistics), (1, 2)) self.assertRaises(ValueError, self.new_statistics_calculator_with_scaler.statistics, [np.array([1, 2])]) if __name__ == '__main__': unittest.main()

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0

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6

41a3a1958195d57d91bf89d38e0b980591bc5284

6,044

py

Python

BotTelegram/tests/test_comando_search.py

manuggz/memes_telegram_bot

2ed73aac099923d08c89616ec35c965204cac119

[ "Apache-2.0" ]

null

BotTelegram/tests/test_comando_search.py

manuggz/memes_telegram_bot

2ed73aac099923d08c89616ec35c965204cac119

[ "Apache-2.0" ]

null

BotTelegram/tests/test_comando_search.py

manuggz/memes_telegram_bot

2ed73aac099923d08c89616ec35c965204cac119

[ "Apache-2.0" ]

null

from django.test import TestCase import json # Create your tests here. from django.test import override_settings @override_settings(DEBUG=True) class TestSearch(TestCase): @classmethod def setUpTestData(cls): # Set up data for the whole TestCase cls.user_from = {} cls.user_from["first_name"] = "Manuel" cls.user_from["last_name"] = "Gonzalez" cls.user_from["username"] = "manuggz" cls.user_from["id"] = "109518141" cls.chat = {} cls.chat["first_name"] = "Manuel" cls.chat["last_name"] = "Gonzalez" cls.chat["username"] = "manuggz" cls.chat["type"] = "private" cls.chat["id"] = "109518141" cls.consulta = {u'message': {u'text': "", u'from': cls.user_from, u'chat': cls.chat, u'message_id': 905475, u'date': 1475391962}, u'update_id': 25256647, u'debug': True} def test_search_sin_comandos(self): self.consulta[u'message'][u'text'] = u"/search" response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta), content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_simple_search_space(self): self.consulta[u'message'][u'text'] = u"/search " response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta),content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_simple_space_search(self): self.consulta[u'message'][u'text'] = u" /search" response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta),content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_simple_space_search_space(self): self.consulta[u'message'][u'text'] = u" /search " response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta),content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_simple_spacex100_search_spacex100(self): self.consulta[u'message'][u'text'] = " "*100 + u"/search " +" "*100 response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta),content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_simple_spacex100_search_spacex100_create(self): self.consulta[u'message'][u'text'] = " "*100 + u"/search " +" "*100 + " create" response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta),content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_simple_spacex100_search_spacex100_create_space(self): self.consulta[u'message'][u'text'] = " "*100 + u"/search " +" "*100 + " create " response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta),content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_simple_spacex100_search_spacex100_yao_spacex100(self): self.consulta[u'message'][u'text'] = " "*100 + u"/search " +" "*100 + " yao " + " "*100 response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta),content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_simple_spacex100_search_spacex100_create_spacex100_search(self): self.consulta[u'message'][u'text'] = " "*100 + u"/search " +" "*100 + " create " + " "*100 + " search" response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta),content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_search_forever_alone(self): self.consulta[u'message'][u'text'] = u"/search Forever Alone" response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta), content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_search_no_existe(self): self.consulta[u'message'][u'text'] = u"/search 123123123123189876761009123781238712989912992" response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta), content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200) def test_double_search(self): self.consulta[u'message'][u'text'] = u"/search /search" response = self.client.post('/BotTelegram/119646075:AAFsQGgw8IaLwvRZX-IBO9mgV3k048NpuMg/', json.dumps(self.consulta), content_type="text/json", secure=True) # Check that the response is 200 OK. self.assertEqual(response.status_code, 200)

45.787879

115

0.636168

687

6,044

5.47016

0.117904

0.076637

0.055349

0.058808

0.831293

0.825439

0.822512

0.803353

0

0.089173

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46.137405

0.726188

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0.2125

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null

0

1

0

null

0

6

68c949dda5d8d59ae87d1ed88d56f53bf5dee507

150

py

Python

backend/apps/music/urls.py

daojunL/Art-Event-Gallery

33fb51f78a9815f6ef29422291247908ec7008ef

[ "MIT" ]

null

backend/apps/music/urls.py

daojunL/Art-Event-Gallery

33fb51f78a9815f6ef29422291247908ec7008ef

[ "MIT" ]

null

backend/apps/music/urls.py

daojunL/Art-Event-Gallery

33fb51f78a9815f6ef29422291247908ec7008ef

[ "MIT" ]

null

from django.contrib import admin from django.urls import path from django.urls import path from .import views app_name = 'music' urlpatterns = [ ]

13.636364

32

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150

5.181818

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0

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150

11

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13.636364

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1

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null

0

1

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1

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6

ec2925a7ff60e2ec9b23a8378944b9f6d293a682

16,160

py

Python

alibaba/spiders/alibaba_spiders.py

PandorAstrum/alibaba_skrapy

1548a354785578be1850015eeb439c368f5be4f2

[ "MIT" ]

null

alibaba/spiders/alibaba_spiders.py

PandorAstrum/alibaba_skrapy

1548a354785578be1850015eeb439c368f5be4f2

[ "MIT" ]

null

alibaba/spiders/alibaba_spiders.py

PandorAstrum/alibaba_skrapy

1548a354785578be1850015eeb439c368f5be4f2

[ "MIT" ]

null

# -*- coding: utf-8 -*- import re from scrapy import Request from scrapy import Spider from bs4 import BeautifulSoup from alibaba.items import AlibabaItem class AlibabaSpidersSpider(Spider): name = 'alibaba_spiders' allowed_domains = ['alibaba.com'] def __init__(self, **kwargs): super(AlibabaSpidersSpider, self).__init__(**kwargs) self.start_urls = [kwargs.get('_start_urls')] self.headers = kwargs.get('_headers') self.category_check = kwargs.get('_category_check') self.prev = kwargs.get('_prev') self.previous_list = kwargs.get('_previous_list') self.tmp_links = [] def start_requests(self): for url in self.start_urls: yield Request(url, headers={'User-Agent': self.headers}) def parse(self, response): if self.category_check: # only scrap the categories categories = response.xpath('//div[@class="mod-content"]//ul//li//a/text()').extract() # write to file all_sub_cat = response.xpath('//div[@module-title="productGroups"]/@module-data').extract_first() all_sub_cat = all_sub_cat.replace('%', ',').replace('0', ',').replace('1', ',').replace('2', ',') all_sub_cat = all_sub_cat.replace('3', ',').replace('4', ',').replace('5', ',').replace('6', ',') all_sub_cat = all_sub_cat.replace('7', ',').replace('8', ',').replace('9', ',') all_sub_cat_spit = all_sub_cat.split('Fproductgrouplist') all_sub_cat_spit.pop(0) # print(all_sub_cat_spit) for c in categories: subs = [] cat_ = [] if '&' in c: matching_category = c.replace('&', '_').replace(' ', '') elif " " in c: matching_category = c.replace(' ', '_') elif ',' in c: matching_category = c.replace(',', '').replace(' ', '_') elif '/' in c: matching_category = c.replace('&', '').replace(',', '').replace(' ', '_') else: matching_category = c for indx, sub in enumerate(all_sub_cat_spit): sub_cat = re.findall(r'([A-Z]\w+\.html)', sub) sub_cat[0] = sub_cat[0].replace('.html', '').replace('F', '', 1) if sub_cat[0] == matching_category: cat_.append(sub_cat[0]) break else: subs.append(sub_cat[0]) for s in all_sub_cat_spit[:]: sub_cat = re.findall(r'([A-Z]\w+\.html)', s) sub_cat[0] = sub_cat[0].replace('.html', '').replace('F', '', 1) if sub_cat[0] in subs: all_sub_cat_spit.remove(s) if sub_cat[0] in cat_: all_sub_cat_spit.remove(s) yield { "Category": matching_category, "Sub Category": subs } else: # get all the links _div = response.xpath('//div[@class="module-product-list"]') links = _div.xpath('.//div[@class="product-info"]/div[@class="title"]/a/@href').extract() # process and remove extra links for link in links: if link not in self.tmp_links: abs_link = response.urljoin(link) self.tmp_links.append(abs_link) yield Request(url=abs_link, callback=self.parse_item, headers={'User-Agent': self.headers}) # next next_page_url = response.xpath('//div[@class="next-pagination-list"]/a/@href').extract() for next_page in next_page_url: if next_page: abs_next_page_url = response.urljoin(next_page) yield Request(abs_next_page_url, callback=self.parse, headers={'User-Agent': self.headers}) def parse_item(self, response): # get actual data here soup = BeautifulSoup(response.text, 'lxml') item = AlibabaItem() # if previous file then get the list of previous url and match if not self.prev: item['url'] = response.url item['title'] = response.xpath('//h1[@class="ma-title"]/text()').extract_first() item['price'] = response.xpath('//span[@class="ma-ref-price"]/span/text()').extract_first() item['min_order'] = response.xpath('//span[@class="ma-min-order"]/text()').extract_first() _quick_details = response.xpath('//div[contains(text(), "Quick Details")]/following-sibling::div/dl') _q1_keys = _quick_details.xpath('.//dt/span/text()').extract() _q2_values = _quick_details.xpath('.//dd/div/text()').extract() _q = list(zip(_q1_keys, _q2_values)) # need to arrange in str format tmp_quick_details = [] for quick in _q: tmp_quick_details.append("\n" + quick[0] + " " + quick[1]) tmp_quick_details[0] = tmp_quick_details[0].replace("\n", "") item['short_description'] = tmp_quick_details item['supply_ability'] = response.xpath( '//div[contains(text(), "Supply Ability")]/following-sibling::div/dl/dd/text()').extract_first() _packaging = soup.find('div', string='Packaging & Delivery') if _packaging: _all_packaging_div = _packaging.findNext('div') _all_packaging = _all_packaging_div.findAll('dl') _tmp_packaging = [] for _pack in _all_packaging: h = _pack.find('dt').text t = _pack.find('dd').text h.strip() t.strip() _tmp_packaging.append(h + ": " + t) # clean for i, t in enumerate(_tmp_packaging): if "Lead Time" in t: removing_index = i else: removing_index = None if removing_index is None: pass else: _tmp_packaging = _tmp_packaging[:removing_index] item['packaging_delivery'] = _tmp_packaging _desc = soup.find('div', {'id': 'J-rich-text-description'}) _desc_div = _desc.find('div', {'data-section-title': "Product Description"}) if _desc_div: _all_description = _desc_div.findAll('p') if len(_all_description) == 0: _d = _desc.prettify().replace('\n', '') _d = ''.join(c for c in _d if ord(c) < 128) tmp_description = _d # no p else: tmp_description = [] # get temp descriptions for _description in _all_description: _d = _description.prettify().replace('\n', '') if "<img" not in _d: _d = ''.join(c for c in _d if ord(c) < 128) # dump any image tmp_description.append(_d) index_of_related_products = 0 # find related products for indx, td in enumerate(tmp_description): if re.search(r'[r|R]elated [p|P]roducts', td) is not None: index_of_related_products = indx break else: index_of_related_products = len(tmp_description) + 1 # slicing only take upto related products clean _final_desc = tmp_description[:index_of_related_products] # joining list elements into one string _joined_string_description = ''.join(_final_desc) else: _all_description = _desc.findAll('p') if len(_all_description) == 0: _d = _desc.prettify().replace('\n', '') _d = ''.join(c for c in _d if ord(c) < 128) tmp_description = _d else: tmp_description = [] # get into a list for _description in _all_description: _d = _description.prettify().replace('\n', '') if "<img" not in _d: _d = ''.join(c for c in _d if ord(c) < 128) # dump any image tmp_description.append(_d) index_of_related_products = 0 # find related products for indx, td in enumerate(tmp_description): if re.search(r'[r|R]elated [p|P]roducts', td) is not None: index_of_related_products = indx break else: index_of_related_products = len(tmp_description) + 1 # clean _final_desc = tmp_description[:index_of_related_products] # joining list elements into one string _joined_string_description = ''.join(_final_desc) item['description'] = _joined_string_description _all_pics_div = soup.find('div', {'class': 'module-detailBoothImage'}) _all_pic = _all_pics_div.findAll('img') _all_pic.pop(0) _temp_pic_list = [] for _pic in _all_pic: _tmp_pic = _pic['src'] _tmp_pic = "https:" + _tmp_pic head, sep, tail = _tmp_pic.partition('_50x50') _temp_pic_list.append(head) item['images_links'] = _temp_pic_list yield item else: if response.url not in self.previous_list: item['url'] = response.url item['title'] = response.xpath('//h1[@class="ma-title"]/text()').extract_first() item['price'] = response.xpath('//span[@class="ma-ref-price"]/span/text()').extract_first() item['min_order'] = response.xpath('//span[@class="ma-min-order"]/text()').extract_first() _quick_details = response.xpath('//div[contains(text(), "Quick Details")]/following-sibling::div/dl') _q1_keys = _quick_details.xpath('.//dt/span/text()').extract() _q2_values = _quick_details.xpath('.//dd/div/text()').extract() _q = list(zip(_q1_keys, _q2_values)) # need to arrange in str format tmp_quick_details = [] for quick in _q: tmp_quick_details.append("\n" + quick[0] + " " + quick[1]) tmp_quick_details[0] = tmp_quick_details[0].replace("\n", "") item['short_description'] = tmp_quick_details item['supply_ability'] = response.xpath( '//div[contains(text(), "Supply Ability")]/following-sibling::div/dl/dd/text()').extract_first() _packaging = soup.find('div', string='Packaging & Delivery') if _packaging: _all_packaging_div = _packaging.findNext('div') _all_packaging = _all_packaging_div.findAll('dl') _tmp_packaging = [] for _pack in _all_packaging: h = _pack.find('dt').text t = _pack.find('dd').text h.strip() t.strip() _tmp_packaging.append(h + ": " + t) # clean for i, t in enumerate(_tmp_packaging): if "Lead Time" in t: removing_index = i else: removing_index = None if removing_index is None: pass else: _tmp_packaging = _tmp_packaging[:removing_index] item['packaging_delivery'] = _tmp_packaging _desc = soup.find('div', {'id': 'J-rich-text-description'}) _desc_div = _desc.find('div', {'data-section-title': "Product Description"}) if _desc_div: _all_description = _desc_div.findAll('p') if len(_all_description) == 0: _d = _desc.prettify().replace('\n', '') _d = ''.join(c for c in _d if ord(c) < 128) tmp_description = _d # no p else: tmp_description = [] # get temp descriptions for _description in _all_description: _d = _description.prettify().replace('\n', '') if "<img" not in _d: _d = ''.join(c for c in _d if ord(c) < 128) # dump any image tmp_description.append(_d) index_of_related_products = 0 # find related products for indx, td in enumerate(tmp_description): if re.search(r'[r|R]elated [p|P]roducts', td) is not None: index_of_related_products = indx break else: index_of_related_products = len(tmp_description) + 1 # slicing only take upto related products clean _final_desc = tmp_description[:index_of_related_products] # joining list elements into one string _joined_string_description = ''.join(_final_desc) else: _all_description = _desc.findAll('p') if len(_all_description) == 0: _d = _desc.prettify().replace('\n', '') _d = ''.join(c for c in _d if ord(c) < 128) tmp_description = _d else: tmp_description = [] # get into a list for _description in _all_description: _d = _description.prettify().replace('\n', '') if "<img" not in _d: _d = ''.join(c for c in _d if ord(c) < 128) # dump any image tmp_description.append(_d) index_of_related_products = 0 # find related products for indx, td in enumerate(tmp_description): if re.search(r'[r|R]elated [p|P]roducts', td) is not None: index_of_related_products = indx break else: index_of_related_products = len(tmp_description) + 1 # clean _final_desc = tmp_description[:index_of_related_products] # joining list elements into one string _joined_string_description = ''.join(_final_desc) item['description'] = _joined_string_description _all_pics_div = soup.find('div', {'class': 'module-detailBoothImage'}) _all_pic = _all_pics_div.findAll('img') _all_pic.pop(0) _temp_pic_list = [] for _pic in _all_pic: _tmp_pic = _pic['src'] _tmp_pic = "https:" + _tmp_pic head, sep, tail = _tmp_pic.partition('_50x50') _temp_pic_list.append(head) item['images_links'] = _temp_pic_list yield item

48.969697

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0.482735

1,659

16,160

4.39783

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0.030702

0.048246

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0.743147

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0.009139

0.404146

16,160

329

118

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0.748572

0.048453

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false

0.007491

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null

0

1

0

1

0

null

0

6

6bae9d4ecf11391a47e1d3c81488525b58c47c7f

140

py

Python

lesson5/while_loop.py

vinaymayar/python-game-workshop

e990f51815c2080a0d702c9d90dac8e8c2a35d45

[ "MIT" ]

1

2016-10-11T19:27:08.000Z

lesson5/while_loop.py

vinaymayar/python-game-workshop

e990f51815c2080a0d702c9d90dac8e8c2a35d45

[ "MIT" ]

null

lesson5/while_loop.py

vinaymayar/python-game-workshop

e990f51815c2080a0d702c9d90dac8e8c2a35d45

[ "MIT" ]

null

# Exercise 1: # Using a while loop, print the numbers 0 to 10 # Exercise 2: # Using a while loop, print all even numbers from 0 to 100

23.333333

60

0.692857

26

140

3.730769

0.653846

0.123711

0.226804

0.309278

0.412371

0

0.085714

0.25

140

5

61

28

0.838095

0.928571

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0

null

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null

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true

0

null

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1

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1

0

null

0

1

0

6

d40c50d0c860f6e7a38c2f88f0f2ed413c112449

97

py

Python

aztools/__init__.py

abduzoghbi/aztools

949cc2ec0dbb4426be0d39c5c9832243c4dbde43

[ "MIT" ]

null

aztools/__init__.py

abduzoghbi/aztools

949cc2ec0dbb4426be0d39c5c9832243c4dbde43

[ "MIT" ]

null

aztools/__init__.py

abduzoghbi/aztools

949cc2ec0dbb4426be0d39c5c9832243c4dbde43

[ "MIT" ]

null

from .simlc import SimLC from .lcurve import LCurve from . import misc from . import data_tools

16.166667

26

0.783505

15

97

5

0.466667

0.266667

0

0.175258

97

6

27

16.166667

0.9375

0

1

0

true

0

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1

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1

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null

1

0

1

0

null

0

1

0

1

0

1

0

6

d40cee1482a67cf83be03e1924b123c37b588310

204

py

Python

dist-sys/deliveries/admin.py

joehalloran/dist-sys

8317eb1bf802f991f0bf4eb78470e05b36b10ba6

[ "MIT" ]

null

dist-sys/deliveries/admin.py

joehalloran/dist-sys

8317eb1bf802f991f0bf4eb78470e05b36b10ba6

[ "MIT" ]

3

2020-02-11T23:55:06.000Z

2021-06-10T21:16:58.000Z

dist-sys/deliveries/admin.py

joehalloran/dist-sys

8317eb1bf802f991f0bf4eb78470e05b36b10ba6

[ "MIT" ]

null

from django.contrib import admin from .models import Customer, Address, Product, Order admin.site.register(Customer) admin.site.register(Address) admin.site.register(Product) admin.site.register(Order)

22.666667

53

0.813725

28

204

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0.428571

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