xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

ff79c80649489eb9fbab9399d9376969afa03c27

147

py

Python

UniOpt/imports.py

KOLANICH/UniOpt

67955d130e5f50cad9bc27d704a5a54b6415f539

[ "Unlicense" ]

1

2018-10-10T19:21:20.000Z

UniOpt/imports.py

KOLANICH/UniOpt

67955d130e5f50cad9bc27d704a5a54b6415f539

[ "Unlicense" ]

1

2018-12-16T14:37:44.000Z

2018-12-16T22:40:35.000Z

UniOpt/imports.py

KOLANICH/UniOpt

67955d130e5f50cad9bc27d704a5a54b6415f539

[ "Unlicense" ]

null

import sys import types import typing import warnings from pprint import pformat, pprint import scipy as np from lazily import lazyImport

16.333333

35

0.789116

21

147

5.52381

0.619048

0.206897

0

0.204082

147

8

36

18.375

0.991453

0

1

0

true

0

1

0

1

0.142857

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ff89d90d01c6381cec522fff82ec7c1baec37980

254

py

Python

blackbox_backprop/__init__.py

pminervini/blackbox-backprop

ca39070cec6fe0aba4548e9fbb07c2372a6b9c43

[ "MIT" ]

292

2019-12-06T17:29:22.000Z

2022-03-26T15:58:54.000Z

blackbox_backprop/__init__.py

machanic/blackbox-backprop

ca39070cec6fe0aba4548e9fbb07c2372a6b9c43

[ "MIT" ]

7

2020-02-15T14:37:36.000Z

2021-02-16T10:44:17.000Z

blackbox_backprop/__init__.py

machanic/blackbox-backprop

ca39070cec6fe0aba4548e9fbb07c2372a6b9c43

[ "MIT" ]

38

2019-12-06T17:30:43.000Z

2022-02-20T22:31:59.000Z

from .perfect_matching import MinCostPerfectMatchingSolver from .shortest_path import ShortestPath from .travelling_salesman import TspSolver from .ranking import TrueRanker from .recall import RecallLoss, BatchMemoryRecallLoss from .mAP import MapLoss

31.75

58

0.870079

28

254

7.785714

0.642857

0

0.102362

254

7

59

36.285714

0.95614

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ff9547dde8fa4a7e9f1ad20f792a789effef0670

890

py

Python

src/mattermostdriver/endpoints/files.py

romain-dartigues/python-mattermost-driver

a8b9e91e84a99d0526e6513f088137b1a91f0990

[ "MIT" ]

null

src/mattermostdriver/endpoints/files.py

romain-dartigues/python-mattermost-driver

a8b9e91e84a99d0526e6513f088137b1a91f0990

[ "MIT" ]

null

src/mattermostdriver/endpoints/files.py

romain-dartigues/python-mattermost-driver

a8b9e91e84a99d0526e6513f088137b1a91f0990

[ "MIT" ]

null

from .base import Base class Files(Base): endpoint = "/files" def upload_file(self, channel_id, files): return self.client.post(self.endpoint, data={"channel_id": channel_id}, files=files) def get_file(self, file_id): return self.client.get( self.endpoint + "/" + file_id, ) def get_file_thumbnail(self, file_id): return self.client.get( self.endpoint + "/" + file_id + "/thumbnail", ) def get_file_preview(self, file_id): return self.client.get( self.endpoint + "/" + file_id + "/preview", ) def get_public_file_link(self, file_id): return self.client.get( self.endpoint + "/" + file_id + "/link", ) def get_file_metadata(self, file_id): return self.client.get( self.endpoint + "/" + file_id + "/info", )

26.176471

92

0.569663

108

890

4.472222

0.212963

0.124224

0.198758

0.165631

0.486542

0

0.297753

890

33

93

26.969697

0.7728

0

0.2

0

0.055056

0

1

0.24

false

0

0.04

0.24

0.6

0

null

0

1

0

null

0

1

0

1

0

5

ffaba7285f97e9259202ecff6a7b34771723d282

158

py

Python

neurallog/models/__init__.py

LogIntelligence/NeuralLog

8251727d9c6c54b90f72980db46f420bf4f480c2

[ "MIT" ]

7

2022-02-06T23:54:50.000Z

2022-03-29T07:57:46.000Z

neurallog/models/__init__.py

LogIntelligence/NeuralLog

8251727d9c6c54b90f72980db46f420bf4f480c2

[ "MIT" ]

null

neurallog/models/__init__.py

LogIntelligence/NeuralLog

8251727d9c6c54b90f72980db46f420bf4f480c2

[ "MIT" ]

3

2022-02-18T01:58:31.000Z

2022-03-24T16:00:06.000Z

from .transformers import transformer_classifer as NeuralLog from .logrobust import logrobust_model as LogRobust from .log2vec import deeplog_model as Log2Vec

52.666667

60

0.873418

21

158

6.428571

0.52381

0.103704

0

0.014184

0.107595

158

3

61

52.666667

0.943262

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

446ab85dee0948af5f9e2e3f88bbcbe18923f5dc

91

py

Python

HackMarathon2/Custom_Errors.py

FaboBence/HackMarathon_MechaHU_2

e0bd8d0fe505d08fc88cddf7558414678daaeaab

[ "MIT" ]

null

HackMarathon2/Custom_Errors.py

FaboBence/HackMarathon_MechaHU_2

e0bd8d0fe505d08fc88cddf7558414678daaeaab

[ "MIT" ]

null

HackMarathon2/Custom_Errors.py

FaboBence/HackMarathon_MechaHU_2

e0bd8d0fe505d08fc88cddf7558414678daaeaab

[ "MIT" ]

null

class ClientDisconnectError(Exception): pass class ServerDisconnectError(Exception): pass

22.75

39

0.857143

8

91

9.75

0.625

0.333333

0

0.076923

91

4

40

22.75

0.928571

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

44781d4194a1fbfb40cc9d3ed0ca33bfab844065

15

py

Python

HelloPython2.py

michaelataides/python-cursoemvideo

c1050a7fb1c0d4e3ea37b0498e05bad8c5f46de9

[ "MIT" ]

null

HelloPython2.py

michaelataides/python-cursoemvideo

c1050a7fb1c0d4e3ea37b0498e05bad8c5f46de9

[ "MIT" ]

null

HelloPython2.py

michaelataides/python-cursoemvideo

c1050a7fb1c0d4e3ea37b0498e05bad8c5f46de9

[ "MIT" ]

null

print('Hello2')

15

0.733333

2

15

5.5

1

0

0.066667

0

15

1

15

0.666667

0

0.375

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

4485b4ba8dd0a0abe5eb28511dbf976b916dc9a0

189

py

Python

business_logic/blockly/exceptions.py

civilian/django-business-logic

3af2175318d019e6327d41e0256cb945b33a713c

[ "MIT" ]

160

2016-05-25T12:51:02.000Z

2022-01-29T20:39:22.000Z

business_logic/blockly/exceptions.py

civilian/django-business-logic

3af2175318d019e6327d41e0256cb945b33a713c

[ "MIT" ]

36

2016-09-06T11:13:27.000Z

2021-02-27T12:33:31.000Z

business_logic/blockly/exceptions.py

civilian/django-business-logic

3af2175318d019e6327d41e0256cb945b33a713c

[ "MIT" ]

30

2016-07-23T14:41:51.000Z

2022-03-25T21:31:06.000Z

# -*- coding: utf-8 -*- class BlocklyXmlParserException(Exception): pass class BlocklyXmlBuilderException(Exception): pass class NodeTreeCreatorException(Exception): pass

13.5

44

0.73545

15

189

9.266667

0.6

0.280576

0.258993

0

0.006369

0.169312

189

13

45

14.538462

0.878981

0.111111

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

5

92677c13e5442d01e973e3486de891181f59dc2b

168

py

Python

domain/neuron.py

hesslink111/neuralnetworknibbles

a902a845eddbb6ed43ab4f8b1f6ae71660cc1e21

[ "MIT" ]

1

2022-01-09T06:11:26.000Z

domain/neuron.py

hesslink111/neuralnetworknibbles

a902a845eddbb6ed43ab4f8b1f6ae71660cc1e21

[ "MIT" ]

6

2016-11-18T15:13:23.000Z

2016-11-18T23:45:15.000Z

domain/neuron.py

hesslink111/neuralnetworknibbles

a902a845eddbb6ed43ab4f8b1f6ae71660cc1e21

[ "MIT" ]

null

class Neuron: """Abstract class for a neuron in a neural network.""" def __init__(self): self.result = 0 def calculate_result(self): pass

18.666667

58

0.613095

22

168

4.454545

0.681818

0

0.008403

0.291667

168

8

59

21

0.815126

0.285714

0

1

0.4

false

0.2

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

929fd5a473b1f6b8bb2551ab9a2587a3b2a67a02

22,874

py

Python

dqo/relational/sql/parsetab.py

danield137/deep_query_optimzation

01a25c966338007f15d14dea1b37e388e47bcfe3

[ "MIT" ]

null

dqo/relational/sql/parsetab.py

danield137/deep_query_optimzation

01a25c966338007f15d14dea1b37e388e47bcfe3

[ "MIT" ]

null

dqo/relational/sql/parsetab.py

danield137/deep_query_optimzation

01a25c966338007f15d14dea1b37e388e47bcfe3

[ "MIT" ]

null

# parsetab.py # This file is automatically generated. Do not edit. # pylint: disable=W,C,R _tabversion = '3.10' _lr_method = 'LALR' _lr_signature = 'AND AS ASC AVG BETWEEN BY CASE COMMA COUNT DESC DIV DOT DQUOTES END EQ EXLM FALSE FROM GROUP GT HAVING IN IS LIKE LIMIT LP LT MAX MIN MINUS NAME NOT NULL NUMBER OR ORDER PLUS PRODUCT QTEXT QUOTES RP SELECT SUM THEN TRUE WHEN WHEREquery : select\n | LP query RP\n select : SELECT list FROM table WHERE predicates GROUP BY list HAVING predicates ORDER BY list LIMIT NUMBER\n | SELECT list FROM table WHERE predicates GROUP BY list HAVING predicates ORDER BY list\n | SELECT list FROM table WHERE predicates GROUP BY list ORDER BY list LIMIT NUMBER\n | SELECT list FROM table WHERE predicates GROUP BY list ORDER BY list\n | SELECT list FROM table WHERE predicates GROUP BY list HAVING predicates LIMIT NUMBER\n | SELECT list FROM table WHERE predicates GROUP BY list HAVING predicates\n | SELECT list FROM table WHERE predicates GROUP BY list LIMIT NUMBER\n | SELECT list FROM table WHERE predicates ORDER BY list LIMIT NUMBER\n | SELECT list FROM table WHERE predicates ORDER BY list\n | SELECT list FROM table WHERE predicates GROUP BY list\n | SELECT list FROM table WHERE predicates LIMIT NUMBER\n | SELECT list FROM table WHERE predicates\n | SELECT list FROM table GROUP BY list HAVING predicates LIMIT NUMBER\n | SELECT list FROM table GROUP BY list LIMIT NUMBER\n | SELECT list FROM table ORDER BY list LIMIT NUMBER\n | SELECT list FROM table GROUP BY list HAVING predicates\n | SELECT list FROM table GROUP BY list\n | SELECT list FROM table ORDER BY list\n | SELECT list FROM table LIMIT NUMBER\n | SELECT list FROM table table : NAME\n | LP query RP\n | NAME AS NAME\n | table AS NAME\n | table COMMA table predicates : condition\n | LP condition RP\n | LP predicates AND predicates RP\n | LP predicates OR predicates RP\n | predicates AND predicates\n | predicates OR predicates\n numeric : NUMBER\n | NUMBER DOT NUMBER\n | numeric PLUS numeric\n | numeric PRODUCT numeric\n | numeric DIV numeric\n | numeric MINUS numeric\n | LP numeric RP\n condition : NAME operator numeric\n | numeric operator NAME\n | numeric operator numeric\n | NAME operator agg\n | NAME operator NAME\n | NAME operator QTEXT\n | QTEXT operator NAME\n | list operator list\n | list operator NUMBER\n | NAME LIKE QTEXT\n | NAME NOT LIKE QTEXT\n | NAME IS NULL\n | NAME IS NOT NULL\n | NAME IS TRUE\n | NAME IS FALSE\n | NAME EQ TRUE\n | NAME EQ FALSE\n | NAME EXLM EQ TRUE\n | NAME EXLM EQ FALSE\n | NAME IS NOT TRUE\n | NAME IS NOT FALSE\n | NAME BETWEEN NUMBER AND NUMBER\n | NAME BETWEEN QTEXT AND QTEXT\n | NAME IN LP query RP\n | NAME IN LP list RP\n operator : GT\n | LT\n | EQ\n | GT EQ\n | LT EQ\n | EXLM EQ\n agg : SUM LP NAME RP\n | AVG LP NAME RP\n | COUNT LP NAME RP\n | MIN LP NAME RP\n | MAX LP NAME RP\n | COUNT LP PRODUCT RP\n | agg AS NAME\n list : PRODUCT\n | NAME\n | NUMBER\n | NUMBER COMMA NUMBER\n | NAME COMMA NAME\n | QTEXT\n | DQUOTES list DQUOTES\n | QUOTES list QUOTES\n | NAME AS NAME\n | NAME DOT NAME\n | list COMMA list\n | list AND NAME\n | list OR NAME\n | agg\n ' _lr_action_items = {'LP':([0,3,14,15,16,17,18,20,38,55,60,73,85,86,87,92,93,98,102,105,106,107,108,109,110,116,117,118,126,127,134,143,146,154,175,],[3,3,31,32,33,34,35,38,3,73,38,73,-66,-67,-68,73,73,134,-68,146,134,134,134,134,134,-69,-70,-71,73,73,134,-71,3,73,73,]),'SELECT':([0,3,38,146,],[4,4,4,4,]),'$end':([1,2,7,8,9,10,13,19,36,37,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,70,72,79,80,81,82,83,112,113,114,115,121,122,123,124,125,128,129,130,131,132,133,135,137,139,140,141,142,147,148,149,150,151,152,153,157,158,162,163,164,165,166,167,172,173,174,179,180,181,182,183,184,186,188,189,190,193,195,197,198,200,],[0,-1,-81,-79,-80,-84,-92,-2,-22,-23,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,-14,-28,-21,-26,-27,-25,-24,-19,-20,-48,-49,-13,-32,-33,-35,-29,-40,-45,-41,-44,-46,-34,-50,-52,-54,-55,-56,-57,-43,-42,-36,-37,-38,-39,-47,-12,-11,-51,-53,-60,-61,-58,-59,-18,-16,-17,-30,-31,-62,-63,-64,-65,-8,-9,-10,-15,-6,-7,-4,-5,-3,]),'RP':([2,5,7,8,9,10,13,19,36,37,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,62,63,64,65,66,67,68,70,71,72,79,80,81,82,83,95,97,112,113,114,115,121,122,123,124,125,128,129,130,131,132,133,135,137,139,140,141,142,147,148,149,150,151,152,153,157,158,159,160,161,162,163,164,165,166,167,170,171,172,173,174,179,180,181,182,183,184,186,188,189,190,193,195,197,198,200,],[-1,19,-81,-79,-80,-84,-92,-2,-22,-23,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,63,64,65,66,67,68,83,-72,-73,-74,-77,-75,-76,-14,-34,-28,-21,-26,-27,-25,-24,125,128,-19,-20,-48,-49,-13,-32,-33,-35,-29,-40,-45,-41,-44,-46,-34,-50,-52,-54,-55,-56,-57,-43,-42,-36,-37,-38,-39,-47,-12,-11,179,180,128,-51,-53,-60,-61,-58,-59,183,184,-18,-16,-17,-30,-31,-62,-63,-64,-65,-8,-9,-10,-15,-6,-7,-4,-5,-3,]),'PRODUCT':([4,11,12,21,33,55,71,73,75,77,78,84,85,86,87,92,93,97,116,117,118,119,120,124,126,127,128,130,133,146,147,149,150,151,152,154,161,175,187,194,],[8,8,8,8,52,8,-34,8,108,8,8,8,-66,-67,-68,8,8,108,-69,-70,-71,8,8,-35,8,8,-40,108,-34,8,108,108,108,108,108,8,108,8,8,8,]),'NAME':([4,11,12,20,21,22,23,25,26,27,30,31,32,33,34,35,55,59,60,61,73,77,78,84,85,86,87,92,93,98,102,106,111,116,117,118,119,120,126,127,143,146,154,175,187,194,],[9,9,9,37,9,40,41,43,44,45,48,49,50,51,53,54,74,80,37,82,74,9,9,9,-66,-67,-68,74,74,129,-68,148,153,-69,-70,-71,9,9,74,74,-71,9,74,74,9,9,]),'NUMBER':([4,11,12,21,24,55,58,73,77,78,84,85,86,87,91,92,93,94,98,102,104,106,107,108,109,110,116,117,118,119,120,126,127,134,143,146,154,155,156,168,175,177,178,185,187,192,194,196,199,],[7,7,7,7,42,71,79,71,7,7,115,-66,-67,-68,121,71,71,124,133,-68,144,133,133,133,133,133,-69,-70,-71,7,7,71,71,133,-71,7,71,173,174,181,71,188,189,190,7,195,7,198,200,]),'QTEXT':([4,11,12,21,55,73,77,78,84,85,86,87,92,93,98,99,102,104,116,117,118,119,120,126,127,136,143,146,154,169,175,187,194,],[10,10,10,10,76,76,10,10,10,-66,-67,-68,76,76,132,135,-68,145,-69,-70,-71,10,10,76,76,162,-71,10,76,182,76,10,10,]),'DQUOTES':([4,7,8,9,10,11,12,13,21,28,39,40,41,42,43,44,45,46,47,48,55,63,64,65,66,67,68,73,77,78,84,85,86,87,92,93,116,117,118,119,120,126,127,146,154,175,187,194,],[11,-81,-79,-80,-84,11,11,-92,11,46,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,11,-72,-73,-74,-77,-75,-76,11,11,11,11,-66,-67,-68,11,11,-69,-70,-71,11,11,11,11,11,11,11,11,11,]),'QUOTES':([4,7,8,9,10,11,12,13,21,29,39,40,41,42,43,44,45,46,47,48,55,63,64,65,66,67,68,73,77,78,84,85,86,87,92,93,116,117,118,119,120,126,127,146,154,175,187,194,],[12,-81,-79,-80,-84,12,12,-92,12,47,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,12,-72,-73,-74,-77,-75,-76,12,12,12,12,-66,-67,-68,12,12,-69,-70,-71,12,12,12,12,12,12,12,12,12,]),'SUM':([4,11,12,21,55,73,77,78,84,85,86,87,92,93,98,102,116,117,118,119,120,126,127,143,146,154,175,187,194,],[14,14,14,14,14,14,14,14,14,-66,-67,-68,14,14,14,-68,-69,-70,-71,14,14,14,14,-71,14,14,14,14,14,]),'AVG':([4,11,12,21,55,73,77,78,84,85,86,87,92,93,98,102,116,117,118,119,120,126,127,143,146,154,175,187,194,],[15,15,15,15,15,15,15,15,15,-66,-67,-68,15,15,15,-68,-69,-70,-71,15,15,15,15,-71,15,15,15,15,15,]),'COUNT':([4,11,12,21,55,73,77,78,84,85,86,87,92,93,98,102,116,117,118,119,120,126,127,143,146,154,175,187,194,],[16,16,16,16,16,16,16,16,16,-66,-67,-68,16,16,16,-68,-69,-70,-71,16,16,16,16,-71,16,16,16,16,16,]),'MIN':([4,11,12,21,55,73,77,78,84,85,86,87,92,93,98,102,116,117,118,119,120,126,127,143,146,154,175,187,194,],[17,17,17,17,17,17,17,17,17,-66,-67,-68,17,17,17,-68,-69,-70,-71,17,17,17,17,-71,17,17,17,17,17,]),'MAX':([4,11,12,21,55,73,77,78,84,85,86,87,92,93,98,102,116,117,118,119,120,126,127,143,146,154,175,187,194,],[18,18,18,18,18,18,18,18,18,-66,-67,-68,18,18,18,-68,-69,-70,-71,18,18,18,18,-71,18,18,18,18,18,]),'FROM':([6,7,8,9,10,13,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,],[20,-81,-79,-80,-84,-92,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,]),'COMMA':([6,7,8,9,10,13,28,29,36,37,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,69,71,74,76,80,81,82,83,112,113,114,115,157,158,171,193,197,],[21,24,-79,25,-84,-92,21,21,60,-23,21,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,21,24,25,-84,-26,60,-25,-24,21,21,21,24,21,21,21,21,21,]),'AND':([6,7,8,9,10,13,28,29,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,69,70,71,72,74,76,95,96,112,113,114,115,122,123,124,125,128,129,130,131,132,133,135,137,139,140,141,142,144,145,147,148,149,150,151,152,153,157,158,159,160,162,163,164,165,166,167,171,172,179,180,181,182,183,184,186,193,197,],[22,-81,-79,-80,-84,-92,22,22,22,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,22,92,-81,-28,-80,-84,-28,126,22,22,22,-49,92,92,-35,-29,-40,-45,-41,-44,-46,-34,-50,-52,-54,-55,-56,-57,168,169,-43,-42,-36,-37,-38,-39,-47,22,22,92,92,-51,-53,-60,-61,-58,-59,22,92,-30,-31,-62,-63,-64,-65,92,22,22,]),'OR':([6,7,8,9,10,13,28,29,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,69,70,71,72,74,76,95,96,112,113,114,115,122,123,124,125,128,129,130,131,132,133,135,137,139,140,141,142,147,148,149,150,151,152,153,157,158,159,160,162,163,164,165,166,167,171,172,179,180,181,182,183,184,186,193,197,],[23,-81,-79,-80,-84,-92,23,23,23,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,23,93,-81,-28,-80,-84,-28,127,23,23,23,-49,93,93,-35,-29,-40,-45,-41,-44,-46,-34,-50,-52,-54,-55,-56,-57,-43,-42,-36,-37,-38,-39,-47,23,23,93,93,-51,-53,-60,-61,-58,-59,23,93,-30,-31,-62,-63,-64,-65,93,23,23,]),'GT':([7,8,9,10,13,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,69,71,74,75,76,97,124,128,133,149,150,151,152,],[-81,-79,-80,-84,-92,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,85,-34,85,85,85,85,-35,-40,-34,-36,-37,-38,-39,]),'LT':([7,8,9,10,13,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,69,71,74,75,76,97,124,128,133,149,150,151,152,],[-81,-79,-80,-84,-92,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,86,-34,86,86,86,86,-35,-40,-34,-36,-37,-38,-39,]),'EQ':([7,8,9,10,13,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,69,71,74,75,76,85,86,88,97,103,124,128,133,149,150,151,152,],[-81,-79,-80,-84,-92,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,87,-34,102,87,87,116,117,118,87,143,-35,-40,-34,-36,-37,-38,-39,]),'EXLM':([7,8,9,10,13,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,69,71,74,75,76,97,124,128,133,149,150,151,152,],[-81,-79,-80,-84,-92,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,88,-34,103,88,88,88,-35,-40,-34,-36,-37,-38,-39,]),'HAVING':([7,8,9,10,13,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,112,157,],[-81,-79,-80,-84,-92,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,154,175,]),'LIMIT':([7,8,9,10,13,36,37,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,70,72,80,81,82,83,112,113,114,115,122,123,124,125,128,129,130,131,132,133,135,137,139,140,141,142,147,148,149,150,151,152,153,157,158,162,163,164,165,166,167,172,179,180,181,182,183,184,186,193,197,],[-81,-79,-80,-84,-92,58,-23,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,91,-28,-26,-27,-25,-24,155,156,-48,-49,-32,-33,-35,-29,-40,-45,-41,-44,-46,-34,-50,-52,-54,-55,-56,-57,-43,-42,-36,-37,-38,-39,-47,177,178,-51,-53,-60,-61,-58,-59,185,-30,-31,-62,-63,-64,-65,192,196,199,]),'GROUP':([7,8,9,10,13,36,37,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,70,72,80,81,82,83,114,115,122,123,124,125,128,129,130,131,132,133,135,137,139,140,141,142,147,148,149,150,151,152,153,162,163,164,165,166,167,179,180,181,182,183,184,],[-81,-79,-80,-84,-92,56,-23,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,89,-28,-26,-27,-25,-24,-48,-49,-32,-33,-35,-29,-40,-45,-41,-44,-46,-34,-50,-52,-54,-55,-56,-57,-43,-42,-36,-37,-38,-39,-47,-51,-53,-60,-61,-58,-59,-30,-31,-62,-63,-64,-65,]),'ORDER':([7,8,9,10,13,36,37,39,40,41,42,43,44,45,46,47,48,63,64,65,66,67,68,70,72,80,81,82,83,114,115,122,123,124,125,128,129,130,131,132,133,135,137,139,140,141,142,147,148,149,150,151,152,153,157,162,163,164,165,166,167,179,180,181,182,183,184,186,],[-81,-79,-80,-84,-92,57,-23,-89,-90,-91,-82,-83,-87,-88,-85,-86,-78,-72,-73,-74,-77,-75,-76,90,-28,-26,-27,-25,-24,-48,-49,-32,-33,-35,-29,-40,-45,-41,-44,-46,-34,-50,-52,-54,-55,-56,-57,-43,-42,-36,-37,-38,-39,-47,176,-51,-53,-60,-61,-58,-59,-30,-31,-62,-63,-64,-65,191,]),'AS':([9,13,36,37,48,63,64,65,66,67,68,74,80,81,82,83,131,],[26,30,59,61,-78,-72,-73,-74,-77,-75,-76,26,-26,59,-25,-24,30,]),'DOT':([9,71,74,133,],[27,94,27,94,]),'WHERE':([36,37,80,81,82,83,],[55,-23,-26,-27,-25,-24,]),'BY':([56,57,89,90,176,191,],[77,78,119,120,187,194,]),'PLUS':([71,75,97,124,128,130,133,147,149,150,151,152,161,],[-34,107,107,-35,-40,107,-34,107,107,107,107,107,107,]),'DIV':([71,75,97,124,128,130,133,147,149,150,151,152,161,],[-34,109,109,-35,-40,109,-34,109,109,109,109,109,109,]),'MINUS':([71,75,97,124,128,130,133,147,149,150,151,152,161,],[-34,110,110,-35,-40,110,-34,110,110,110,110,110,110,]),'LIKE':([74,100,],[99,136,]),'NOT':([74,101,],[100,138,]),'IS':([74,],[101,]),'BETWEEN':([74,],[104,]),'IN':([74,],[105,]),'NULL':([101,138,],[137,163,]),'TRUE':([101,102,138,143,],[139,141,164,166,]),'FALSE':([101,102,138,143,],[140,142,165,167,]),} _lr_action = {} for _k, _v in _lr_action_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_action: _lr_action[_x] = {} _lr_action[_x][_k] = _y del _lr_action_items _lr_goto_items = {'query':([0,3,38,146,],[1,5,62,170,]),'select':([0,3,38,146,],[2,2,2,2,]),'list':([4,11,12,21,55,73,77,78,84,92,93,119,120,126,127,146,154,175,187,194,],[6,28,29,39,69,69,112,113,114,69,69,157,158,69,69,171,69,69,193,197,]),'agg':([4,11,12,21,55,73,77,78,84,92,93,98,119,120,126,127,146,154,175,187,194,],[13,13,13,13,13,13,13,13,13,13,13,131,13,13,13,13,13,13,13,13,13,]),'table':([20,60,],[36,81,]),'predicates':([55,73,92,93,126,127,154,175,],[70,96,122,123,159,160,172,186,]),'condition':([55,73,92,93,126,127,154,175,],[72,95,72,72,72,72,72,72,]),'numeric':([55,73,92,93,98,106,107,108,109,110,126,127,134,154,175,],[75,97,75,75,130,147,149,150,151,152,75,75,161,75,75,]),'operator':([69,74,75,76,97,],[84,98,106,111,106,]),} _lr_goto = {} for _k, _v in _lr_goto_items.items(): for _x, _y in zip(_v[0], _v[1]): if not _x in _lr_goto: _lr_goto[_x] = {} _lr_goto[_x][_k] = _y del _lr_goto_items _lr_productions = [ ("S' -> query","S'",1,None,None,None), ('query -> select','query',1,'p_query','ast.py',163), ('query -> LP query RP','query',3,'p_query','ast.py',164), ('select -> SELECT list FROM table WHERE predicates GROUP BY list HAVING predicates ORDER BY list LIMIT NUMBER','select',16,'p_select','ast.py',173), ('select -> SELECT list FROM table WHERE predicates GROUP BY list HAVING predicates ORDER BY list','select',14,'p_select','ast.py',174), ('select -> SELECT list FROM table WHERE predicates GROUP BY list ORDER BY list LIMIT NUMBER','select',14,'p_select','ast.py',175), ('select -> SELECT list FROM table WHERE predicates GROUP BY list ORDER BY list','select',12,'p_select','ast.py',176), ('select -> SELECT list FROM table WHERE predicates GROUP BY list HAVING predicates LIMIT NUMBER','select',13,'p_select','ast.py',177), ('select -> SELECT list FROM table WHERE predicates GROUP BY list HAVING predicates','select',11,'p_select','ast.py',178), ('select -> SELECT list FROM table WHERE predicates GROUP BY list LIMIT NUMBER','select',11,'p_select','ast.py',179), ('select -> SELECT list FROM table WHERE predicates ORDER BY list LIMIT NUMBER','select',11,'p_select','ast.py',180), ('select -> SELECT list FROM table WHERE predicates ORDER BY list','select',9,'p_select','ast.py',181), ('select -> SELECT list FROM table WHERE predicates GROUP BY list','select',9,'p_select','ast.py',182), ('select -> SELECT list FROM table WHERE predicates LIMIT NUMBER','select',8,'p_select','ast.py',183), ('select -> SELECT list FROM table WHERE predicates','select',6,'p_select','ast.py',184), ('select -> SELECT list FROM table GROUP BY list HAVING predicates LIMIT NUMBER','select',11,'p_select','ast.py',185), ('select -> SELECT list FROM table GROUP BY list LIMIT NUMBER','select',9,'p_select','ast.py',186), ('select -> SELECT list FROM table ORDER BY list LIMIT NUMBER','select',9,'p_select','ast.py',187), ('select -> SELECT list FROM table GROUP BY list HAVING predicates','select',9,'p_select','ast.py',188), ('select -> SELECT list FROM table GROUP BY list','select',7,'p_select','ast.py',189), ('select -> SELECT list FROM table ORDER BY list','select',7,'p_select','ast.py',190), ('select -> SELECT list FROM table LIMIT NUMBER','select',6,'p_select','ast.py',191), ('select -> SELECT list FROM table','select',4,'p_select','ast.py',192), ('table -> NAME','table',1,'p_table','ast.py',222), ('table -> LP query RP','table',3,'p_table','ast.py',223), ('table -> NAME AS NAME','table',3,'p_table','ast.py',224), ('table -> table AS NAME','table',3,'p_table','ast.py',225), ('table -> table COMMA table','table',3,'p_table','ast.py',226), ('predicates -> condition','predicates',1,'p_predicates','ast.py',247), ('predicates -> LP condition RP','predicates',3,'p_predicates','ast.py',248), ('predicates -> LP predicates AND predicates RP','predicates',5,'p_predicates','ast.py',249), ('predicates -> LP predicates OR predicates RP','predicates',5,'p_predicates','ast.py',250), ('predicates -> predicates AND predicates','predicates',3,'p_predicates','ast.py',251), ('predicates -> predicates OR predicates','predicates',3,'p_predicates','ast.py',252), ('numeric -> NUMBER','numeric',1,'p_numeric','ast.py',284), ('numeric -> NUMBER DOT NUMBER','numeric',3,'p_numeric','ast.py',285), ('numeric -> numeric PLUS numeric','numeric',3,'p_numeric','ast.py',286), ('numeric -> numeric PRODUCT numeric','numeric',3,'p_numeric','ast.py',287), ('numeric -> numeric DIV numeric','numeric',3,'p_numeric','ast.py',288), ('numeric -> numeric MINUS numeric','numeric',3,'p_numeric','ast.py',289), ('numeric -> LP numeric RP','numeric',3,'p_numeric','ast.py',290), ('condition -> NAME operator numeric','condition',3,'p_condition','ast.py',296), ('condition -> numeric operator NAME','condition',3,'p_condition','ast.py',297), ('condition -> numeric operator numeric','condition',3,'p_condition','ast.py',298), ('condition -> NAME operator agg','condition',3,'p_condition','ast.py',299), ('condition -> NAME operator NAME','condition',3,'p_condition','ast.py',300), ('condition -> NAME operator QTEXT','condition',3,'p_condition','ast.py',301), ('condition -> QTEXT operator NAME','condition',3,'p_condition','ast.py',302), ('condition -> list operator list','condition',3,'p_condition','ast.py',303), ('condition -> list operator NUMBER','condition',3,'p_condition','ast.py',304), ('condition -> NAME LIKE QTEXT','condition',3,'p_condition','ast.py',305), ('condition -> NAME NOT LIKE QTEXT','condition',4,'p_condition','ast.py',306), ('condition -> NAME IS NULL','condition',3,'p_condition','ast.py',307), ('condition -> NAME IS NOT NULL','condition',4,'p_condition','ast.py',308), ('condition -> NAME IS TRUE','condition',3,'p_condition','ast.py',309), ('condition -> NAME IS FALSE','condition',3,'p_condition','ast.py',310), ('condition -> NAME EQ TRUE','condition',3,'p_condition','ast.py',311), ('condition -> NAME EQ FALSE','condition',3,'p_condition','ast.py',312), ('condition -> NAME EXLM EQ TRUE','condition',4,'p_condition','ast.py',313), ('condition -> NAME EXLM EQ FALSE','condition',4,'p_condition','ast.py',314), ('condition -> NAME IS NOT TRUE','condition',4,'p_condition','ast.py',315), ('condition -> NAME IS NOT FALSE','condition',4,'p_condition','ast.py',316), ('condition -> NAME BETWEEN NUMBER AND NUMBER','condition',5,'p_condition','ast.py',317), ('condition -> NAME BETWEEN QTEXT AND QTEXT','condition',5,'p_condition','ast.py',318), ('condition -> NAME IN LP query RP','condition',5,'p_condition','ast.py',319), ('condition -> NAME IN LP list RP','condition',5,'p_condition','ast.py',320), ('operator -> GT','operator',1,'p_operator','ast.py',375), ('operator -> LT','operator',1,'p_operator','ast.py',376), ('operator -> EQ','operator',1,'p_operator','ast.py',377), ('operator -> GT EQ','operator',2,'p_operator','ast.py',378), ('operator -> LT EQ','operator',2,'p_operator','ast.py',379), ('operator -> EXLM EQ','operator',2,'p_operator','ast.py',380), ('agg -> SUM LP NAME RP','agg',4,'p_agg','ast.py',395), ('agg -> AVG LP NAME RP','agg',4,'p_agg','ast.py',396), ('agg -> COUNT LP NAME RP','agg',4,'p_agg','ast.py',397), ('agg -> MIN LP NAME RP','agg',4,'p_agg','ast.py',398), ('agg -> MAX LP NAME RP','agg',4,'p_agg','ast.py',399), ('agg -> COUNT LP PRODUCT RP','agg',4,'p_agg','ast.py',400), ('agg -> agg AS NAME','agg',3,'p_agg','ast.py',401), ('list -> PRODUCT','list',1,'p_list','ast.py',415), ('list -> NAME','list',1,'p_list','ast.py',416), ('list -> NUMBER','list',1,'p_list','ast.py',417), ('list -> NUMBER COMMA NUMBER','list',3,'p_list','ast.py',418), ('list -> NAME COMMA NAME','list',3,'p_list','ast.py',419), ('list -> QTEXT','list',1,'p_list','ast.py',420), ('list -> DQUOTES list DQUOTES','list',3,'p_list','ast.py',421), ('list -> QUOTES list QUOTES','list',3,'p_list','ast.py',422), ('list -> NAME AS NAME','list',3,'p_list','ast.py',423), ('list -> NAME DOT NAME','list',3,'p_list','ast.py',424), ('list -> list COMMA list','list',3,'p_list','ast.py',425), ('list -> list AND NAME','list',3,'p_list','ast.py',426), ('list -> list OR NAME','list',3,'p_list','ast.py',427), ('list -> agg','list',1,'p_list','ast.py',428), ]

185.96748

10,013

0.609207

4,684

22,874

2.94193

0.077284

0.033382

0.040639

0.055152

0.669739

0.61582

0.550145

0.477794

0.414877

0.393904

0

0.330723

0.117907

22,874

122

10,014

187.491803

0.352233

0.003672

0

0.017857

1

0.008929

0.422559

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

5

2b7d7ca093dca84040fc75a1874cf367f4573554

209

wsgi

Python

subreddit_algebra_app.wsgi

mshenfield/subreddit_algebra

177857ed925a25c0d2589a2eb2ec93615e60ee18

[ "MIT" ]

5

2017-04-04T09:06:28.000Z

2017-05-22T21:28:06.000Z

subreddit_algebra_app.wsgi

mshenfield/subreddit_algebra

177857ed925a25c0d2589a2eb2ec93615e60ee18

[ "MIT" ]

34

2017-04-14T00:04:43.000Z

2022-03-08T22:48:24.000Z

subreddit_algebra_app.wsgi

mshenfield/subreddit_algebra

177857ed925a25c0d2589a2eb2ec93615e60ee18

[ "MIT" ]

null

""" Import the Flask WSGI `app` as application so it can be discovered by mod_wsgi http://flask.pocoo.org/docs/0.12/deploying/mod_wsgi/ """ from subreddit_algebra_app.server import app as application # noqa

29.857143

78

0.770335

35

209

4.485714

0.742857

0.063694

0.203822

0

0.016484

0.129187

209

6

79

34.833333

0.846154

0.660287

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

2b86d1c7661b6d19ac0fa68edcd08efc585e6852

52

py

Python

deepautoencoder/__init__.py

rajarsheem/Deep-Autoencoder

7aa3b6e3a267ff0389ac01e0fcbe410a4f04bf6d

[ "MIT" ]

6

2019-03-08T09:47:11.000Z

2019-08-01T11:04:04.000Z

deepautoencoder/__init__.py

rajarsheem/Deep-Autoencoder

7aa3b6e3a267ff0389ac01e0fcbe410a4f04bf6d

[ "MIT" ]

null

deepautoencoder/__init__.py

rajarsheem/Deep-Autoencoder

7aa3b6e3a267ff0389ac01e0fcbe410a4f04bf6d

[ "MIT" ]

1

2019-08-01T09:12:41.000Z

from .stacked_autoencoder import StackedAutoEncoder

26

51

0.903846

5

52

9.2

1

0

0.076923

52

1

52

0.958333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2bbe60c28cba1a495ccbda5a40a1f6dafbc0b5fb

40

py

Python

run.py

brandon-schabel/web_scraper_playground

1ae4e3b96fb5697b3f8cdf8fa03d2c54c43262e0

[ "MIT" ]

null

run.py

brandon-schabel/web_scraper_playground

1ae4e3b96fb5697b3f8cdf8fa03d2c54c43262e0

[ "MIT" ]

12

2020-09-04T14:35:09.000Z

2022-03-08T22:27:48.000Z

run.py

brandon-schabel/web_scraper_playground

1ae4e3b96fb5697b3f8cdf8fa03d2c54c43262e0

[ "MIT" ]

null

from selenium_playground import * run()

13.333333

33

0.8

5

40

6.2

1

0

0.125

40

3

34

13.333333

0.885714

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2bc8ce883eeadf5d476b067bd6cf91f26c1b4889

1,999

py

Python

operalib/tests/test_KernelRidge_cdf.py

vishalbelsare/operalib

9f42cdf8b6df09baec374259b86a4d9a32d9e8cb

[ "BSD-3-Clause" ]

18

2015-02-18T15:49:01.000Z

2021-01-02T16:06:17.000Z

operalib/tests/test_KernelRidge_cdf.py

vishalbelsare/operalib

9f42cdf8b6df09baec374259b86a4d9a32d9e8cb

[ "BSD-3-Clause" ]

10

2015-01-06T10:37:04.000Z

2018-11-30T08:39:37.000Z

operalib/tests/test_KernelRidge_cdf.py

RomainBrault/operalib

9f42cdf8b6df09baec374259b86a4d9a32d9e8cb

[ "BSD-3-Clause" ]

5

2015-01-15T15:29:46.000Z

2019-04-01T12:00:19.000Z

"""OVK learning, unit tests. The :mod:`sklearn.tests.test_ovkernelRidge` tests OVK ridge regression estimator. """ from numpy import NaN, bool from numpy.random import binomial import operalib as ovk from sklearn import __version__ from distutils.version import LooseVersion if LooseVersion(__version__) < LooseVersion('0.18'): from sklearn.cross_validation import train_test_split else: from sklearn.model_selection import train_test_split def test_learn_cf(): """Test ovk curl-free estimator fit.""" X, y = ovk.toy_data_curl_free_field(n_samples=500) Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=400) regr_1 = ovk.OVKRidge(ovkernel=ovk.RBFCurlFreeKernel(gamma=10.), lbda=0) regr_1.fit(Xtr, ytr) assert regr_1.score(Xte, yte) >= 0.8 def test_learn_df(): """Test ovk curl-free estimator fit.""" X, y = ovk.toy_data_div_free_field(n_samples=500) Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=400) regr_1 = ovk.OVKRidge(ovkernel=ovk.RBFDivFreeKernel(gamma=10.), lbda=0) regr_1.fit(Xtr, ytr) assert regr_1.score(Xte, yte) >= 0.8 def test_learn_cf_semi(): """Test ovk curl-free estimator fit on semi-supervised data.""" X, y = ovk.toy_data_curl_free_field(n_samples=500) Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=400) nan_mask = binomial(1, 0.1, ytr.shape[0]).astype(bool) ytr[nan_mask, :] = NaN regr_1 = ovk.OVKRidge(ovkernel=ovk.RBFCurlFreeKernel(gamma=10.), lbda=0) regr_1.fit(Xtr, ytr) assert regr_1.score(Xte, yte) >= 0.8 def test_learn_df_semi(): """Test ovk curl-free estimator fit on semi-supervised data..""" X, y = ovk.toy_data_div_free_field(n_samples=500) Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=400) nan_mask = binomial(1, 0.1, ytr.shape[0]).astype(bool) ytr[nan_mask, :] = NaN regr_1 = ovk.OVKRidge(ovkernel=ovk.RBFDivFreeKernel(gamma=10.), lbda=0) regr_1.fit(Xtr, ytr) assert regr_1.score(Xte, yte) >= 0.8

30.753846

76

0.703852

329

1,999

4.054711

0.224924

0.044978

0.062969

0.044978

0.725637

0

0.04012

0.164582

1,999

64

77

31.234375

0.758683

0.146573

0

0.648649

0

0.002382

0

0.108108

1

0.108108

false

0

0.189189

0

0.297297

0

null

0

1

0

null

0

5

2bcd4300a48f4493c8c058990a0fdf334682cfed

3,564

py

Python

tests/test_cli.py

JackKuo-tw/ilmsdump

6e696f2bb78307bb626c70d8f55762cfb2a9cc63

[ "MIT" ]

null

tests/test_cli.py

JackKuo-tw/ilmsdump

6e696f2bb78307bb626c70d8f55762cfb2a9cc63

[ "MIT" ]

null

tests/test_cli.py

JackKuo-tw/ilmsdump

6e696f2bb78307bb626c70d8f55762cfb2a9cc63

[ "MIT" ]

null

import os import pickle import tempfile import click.testing import pytest import ilmsdump from tests import data @pytest.fixture(scope='function') def tempdir(): with tempfile.TemporaryDirectory() as tmpd: yield tmpd def test_nothing_to_do(tempdir): runner = click.testing.CliRunner(mix_stderr=False) result = runner.invoke(ilmsdump.main, ['--output-dir', tempdir]) assert result.stderr == 'Nothing to do\n' def test_logout(tempdir): cred_file = os.path.join(tempdir, 'credentials.txt') open(cred_file, 'w').close() runner = click.testing.CliRunner(mix_stderr=False) result = runner.invoke(ilmsdump.main, ['--output-dir', tempdir, '--logout']) assert not os.path.exists(cred_file) assert 'Removed' in result.stdout def test_anonymous(tempdir): cred_file = os.path.join(tempdir, 'credentials.txt') open(cred_file, 'w').close() runner = click.testing.CliRunner(mix_stderr=False) result = runner.invoke(ilmsdump.main, ['--output-dir', tempdir, '--anonymous']) assert result.stdout == '' assert result.stderr == 'Nothing to do\n' def test_download(tempdir): """ very basic download test """ runner = click.testing.CliRunner(mix_stderr=False) runner.invoke(ilmsdump.main, ['--output-dir', tempdir, '399']) # http://lms.nthu.edu.tw/course/399 # open course having no attachments for sub in [ 'course/399/index.html', 'course/399/meta.json', 'announcement/2714/index.json', 'announcement/2714/meta.json', ]: assert os.path.exists(os.path.join(tempdir, sub)) def test_resume(tempdir): resume_file = os.path.join(tempdir, 'resmue.pickle') with open(resume_file, 'wb') as file: pickle.dump({'items': [data.COURSE_399], 'ignore': []}, file) runner = click.testing.CliRunner(mix_stderr=False) runner.invoke(ilmsdump.main, ['--output-dir', tempdir, '--resume', resume_file]) for sub in [ 'course/399/index.html', 'course/399/meta.json', 'announcement/2714/index.json', 'announcement/2714/meta.json', ]: assert os.path.exists(os.path.join(tempdir, sub)) def test_ignore(tempdir): runner = click.testing.CliRunner(mix_stderr=False) runner.invoke(ilmsdump.main, ['--output-dir', tempdir, '399', '--ignore', 'Announcement']) for sub in [ 'course/399/index.html', 'course/399/meta.json', ]: assert os.path.exists(os.path.join(tempdir, sub)) for sub in [ 'announcement/2714/index.json', 'announcement/2714/meta.json', ]: assert not os.path.exists(os.path.join(tempdir, sub)) def test_ignore_item(tempdir): runner = click.testing.CliRunner(mix_stderr=False) runner.invoke(ilmsdump.main, ['--output-dir', tempdir, '399', '--ignore', 'Announcement-2714']) for sub in [ 'course/399/index.html', 'course/399/meta.json', ]: assert os.path.exists(os.path.join(tempdir, sub)) for sub in [ 'announcement/2714/index.json', 'announcement/2714/meta.json', ]: assert not os.path.exists(os.path.join(tempdir, sub)) def test_dry(tempdir): runner = click.testing.CliRunner(mix_stderr=False) runner.invoke(ilmsdump.main, ['--output-dir', tempdir, '399', '--dry']) for sub in [ 'course/399/index.html', 'course/399/meta.json', 'announcement/2714/index.json', 'announcement/2714/meta.json', ]: assert not os.path.exists(os.path.join(tempdir, sub))

28.062992

99

0.647026

456

3,564

4.995614

0.179825

0.04741

0.043898

0.074627

0.78007

0.761633

0.75856

0.726076

0

0.032157

0.19725

3,564

126

100

28.285714

0.764069

0.026094

0

0.625

0

0.222351

0.110017

0

0.136364

1

0.102273

false

0

0.079545

0

0.181818

0

null

0

1

0

null

0

5

ecf595e158117c76158d76a50503352017b284dd

79

py

Python

asynchronous_qiwi/data_types/QIWIP2P/__init__.py

LexLuthorReal/asynchronous_qiwi

5847a8d4008493656e973e5283888a4e57234962

[ "MIT" ]

3

2021-05-20T02:36:30.000Z

2021-11-28T16:00:15.000Z

asynchronous_qiwi/data_types/QIWIP2P/__init__.py

LexLuthorReal/asynchronous_qiwi

5847a8d4008493656e973e5283888a4e57234962

[ "MIT" ]

null

asynchronous_qiwi/data_types/QIWIP2P/__init__.py

LexLuthorReal/asynchronous_qiwi

5847a8d4008493656e973e5283888a4e57234962

[ "MIT" ]

1

2021-11-28T16:00:20.000Z

from .pay_sources import PaySourcesTypes from .refund_types import RefundTypes

26.333333

40

0.873418

10

79

6.7

0.8

0

0.101266

79

2

41

39.5

0.943662

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a60177e2cbdb2b619201515c94de7f2e1437001a

4,083

py

Python

tests/test_models.py

renaudin/UnitTestingCourse

23eb7e4a4eab81b93e0081625a452838b374032a

[ "CC-BY-4.0", "MIT" ]

null

tests/test_models.py

renaudin/UnitTestingCourse

23eb7e4a4eab81b93e0081625a452838b374032a

[ "CC-BY-4.0", "MIT" ]

null

tests/test_models.py

renaudin/UnitTestingCourse

23eb7e4a4eab81b93e0081625a452838b374032a

[ "CC-BY-4.0", "MIT" ]

null

import pytest import numpy as np import numpy.testing as npt from inflammation.models import daily_mean def test_everything_works(): npt.assert_array_equal(np.array([0, 0]), np.array([0, 0])) def test_daily_mean_zeros(): """Test that mean function works for an array of zeros.""" from inflammation.models import daily_mean test_array = np.array([[0, 0], [0, 0], [0, 0]]) # Need to use Numpy testing functions to compare arrays npt.assert_array_equal(np.array([0, 0]), daily_mean(test_array)) def test_daily_mean_integers(): """Test that mean function works for an array of positive integers.""" from inflammation.models import daily_mean test_array = np.array([[1, 2], [3, 4], [5, 6]]) # Need to use Numpy testing functions to compare arrays npt.assert_array_equal(np.array([3, 4]), daily_mean(test_array)) def test_daily_max_zeros(): """Test that max function works for an array of zeros.""" from inflammation.models import daily_max test_array = np.array([[0, 0], [0, 0], [0, 0]]) # Need to use Numpy testing functions to compare arrays npt.assert_array_equal(np.array([0, 0]), daily_max(test_array)) def test_daily_max_integers(): """Test that max function works for an array of positive integers.""" from inflammation.models import daily_max test_array = np.array([[1, 2], [3, 4], [5, 6]]) # Need to use Numpy testing functions to compare arrays npt.assert_array_equal(np.array([5, 6]), daily_max(test_array)) def test_daily_min_zeros(): """Test that min function works for an array of zeros.""" from inflammation.models import daily_min test_array = np.array([[0, 0], [0, 0], [0, 0]]) # Need to use Numpy testing functions to compare arrays npt.assert_array_equal(np.array([0, 0]), daily_min(test_array)) def test_daily_min_integers(): """Test that min function works for an array of positive integers.""" from inflammation.models import daily_min test_array = np.array([[1, 2], [3, 4], [5, 6]]) # Need to use Numpy testing functions to compare arrays npt.assert_array_equal(np.array([1, 2]), daily_min(test_array)) def test_daily_min_string(): """Test for TypeError when passing strings""" from inflammation.models import daily_min from pytest import raises with raises(TypeError): daily_min([['Cannot', 'min'], ['string', 'arguments']]) def test_daily_min_bool(): """Test for TypeError when passing bool""" from inflammation.models import daily_min from pytest import raises assert daily_min([False, False, True]) == 0 @pytest.mark.parametrize( "test, expected", [ ([[0, 0], [0, 0], [0, 0]], [0, 0]), ([[1, 2], [3, 4], [5, 6]], [3, 4]), ]) def test_daily_mean(test, expected): """Test mean function works for array of zeroes and positive integers.""" from inflammation.models import daily_mean npt.assert_array_equal(np.array(expected), daily_mean(np.array(test))) @pytest.mark.parametrize( "test, expected", [ ([[0, 0], [0, 0], [0, 0]], [0, 0]), ([[1, 2], [3, 4], [5, 6]], [5, 6]), ]) def test_daily_max(test, expected): """Test max function works for array of zeroes and positive integers.""" from inflammation.models import daily_max npt.assert_array_equal(np.array(expected), daily_max(np.array(test))) @pytest.mark.parametrize( "test, expected", [ ([[0, 0], [0, 0], [0, 0]], [0, 0]), ([[1, 2], [3, 4], [5, 6]], [1, 2]), ]) def test_daily_min(test, expected): """Test min function works for array of zeroes and positive integers.""" from inflammation.models import daily_min npt.assert_array_equal(np.array(expected), daily_min(np.array(test)))

34.025

77

0.612785

574

4,083

4.207317

0.102787

0.033954

0.037267

0.039752

0.837267

0.814907

0.795859

0.751139

0.662526

0.634369

0

0.03318

0.25447

4,083

120

78

34.025

0.760184

0.233407

0

0.564103

0

0.021498

0

0.141026

1

0.153846

false

0

0.217949

0

0.371795

0

null

0

1

0

1

0

null

0

5

a65c952e173357a801e2f98f19770a20f48bc79c

77

py

Python

dynamic_doc_generator/rules/exceptions.py

maks500/dynamic_doc_generator

7d5b208459930bb26aeba953a0c15668e19886d1

[ "MIT" ]

null

dynamic_doc_generator/rules/exceptions.py

maks500/dynamic_doc_generator

7d5b208459930bb26aeba953a0c15668e19886d1

[ "MIT" ]

null

dynamic_doc_generator/rules/exceptions.py

maks500/dynamic_doc_generator

7d5b208459930bb26aeba953a0c15668e19886d1

[ "MIT" ]

null

class InvalidRule(Exception): pass class DoneRule(Exception): pass

11

29

0.714286

8

77

6.875

0.625

0.472727

0

0.207792

77

6

30

12.833333

0.901639

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

a660b9a924b51cf6d3d755ce40f19bcec450c5f9

265

py

Python

sso/templatetags/sso_validation.py

uktrade/sso

f4fb527cfe12955c079251031261f2407956bad3

[ "MIT" ]

1

2017-06-02T09:09:02.000Z

sso/templatetags/sso_validation.py

uktrade/sso

f4fb527cfe12955c079251031261f2407956bad3

[ "MIT" ]

372

2016-10-25T17:10:18.000Z

2022-03-30T14:53:55.000Z

sso/templatetags/sso_validation.py

uktrade/sso

f4fb527cfe12955c079251031261f2407956bad3

[ "MIT" ]

3

2016-11-10T17:13:39.000Z

2019-12-06T16:54:46.000Z

from django import template from django.template.defaultfilters import stringfilter from ..adapters import is_valid_redirect register = template.Library() @register.filter @stringfilter def is_valid_redirect_domain(domain): return is_valid_redirect(domain)

20.384615

55

0.830189

33

265

6.454545

0.484848

0.098592

0.211268

0.197183

0

0.109434

265

12

56

22.083333

0.902542

0

1

0.125

false

0

0.375

0.125

0.625

0

null

0

1

0

null

0

1

0

5

a668002ad7f5039cf69f343fa094db8686d33857

29,505

py

Python

ironic/tests/drivers/test_ipmitool.py

mrda/ironic

67adf3c8d8e59c371c9c731aedb0a05b30417b7f

[ "Apache-2.0" ]

null

ironic/tests/drivers/test_ipmitool.py

mrda/ironic

67adf3c8d8e59c371c9c731aedb0a05b30417b7f

[ "Apache-2.0" ]

null

ironic/tests/drivers/test_ipmitool.py

mrda/ironic

67adf3c8d8e59c371c9c731aedb0a05b30417b7f

[ "Apache-2.0" ]

null

# coding=utf-8 # Copyright 2012 Hewlett-Packard Development Company, L.P. # Copyright (c) 2012 NTT DOCOMO, INC. # Copyright 2014 International Business Machines Corporation # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """Test class for IPMITool driver module.""" import mock import os import stat import tempfile import time from oslo.config import cfg from ironic.common import driver_factory from ironic.common import exception from ironic.common import states from ironic.common import utils from ironic.conductor import task_manager from ironic.db import api as db_api from ironic.drivers.modules import console_utils from ironic.drivers.modules import ipmitool as ipmi from ironic.openstack.common import context from ironic.openstack.common import processutils from ironic.tests import base from ironic.tests.conductor import utils as mgr_utils from ironic.tests.db import base as db_base from ironic.tests.db import utils as db_utils from ironic.tests.objects import utils as obj_utils CONF = cfg.CONF CONF.import_opt('min_command_interval', 'ironic.drivers.modules.ipminative', group='ipmi') INFO_DICT = db_utils.get_test_ipmi_info() class IPMIToolCheckTimingTestCase(base.TestCase): @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(utils, 'execute') def test_check_timing_pass(self, mock_exc, mock_timing): mock_exc.return_value = (None, None) mock_timing.return_value = None expected = [mock.call(), mock.call(True)] ipmi.check_timing_support() self.assertTrue(mock_exc.called) self.assertEqual(expected, mock_timing.call_args_list) @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(utils, 'execute') def test_check_timing_fail(self, mock_exc, mock_timing): mock_exc.side_effect = processutils.ProcessExecutionError() mock_timing.return_value = None expected = [mock.call(), mock.call(False)] ipmi.check_timing_support() self.assertTrue(mock_exc.called) self.assertEqual(expected, mock_timing.call_args_list) @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(utils, 'execute') def test_check_timing_no_ipmitool(self, mock_exc, mock_timing): mock_exc.side_effect = OSError() mock_timing.return_value = None expected = [mock.call()] self.assertRaises(OSError, ipmi.check_timing_support) self.assertTrue(mock_exc.called) self.assertEqual(expected, mock_timing.call_args_list) @mock.patch.object(time, 'sleep') class IPMIToolPrivateMethodTestCase(base.TestCase): def setUp(self): super(IPMIToolPrivateMethodTestCase, self).setUp() self.context = context.get_admin_context() self.node = obj_utils.get_test_node( self.context, driver='fake_ipmitool', driver_info=INFO_DICT) self.info = ipmi._parse_driver_info(self.node) def test__make_password_file(self, mock_sleep): with ipmi._make_password_file(self.info.get('password')) as pw_file: del_chk_pw_file = pw_file self.assertTrue(os.path.isfile(pw_file)) self.assertEqual(0o600, os.stat(pw_file)[stat.ST_MODE] & 0o777) with open(pw_file, "r") as f: password = f.read() self.assertEqual(self.info.get('password'), password) self.assertFalse(os.path.isfile(del_chk_pw_file)) def test__parse_driver_info(self, mock_sleep): # make sure we get back the expected things self.assertIsNotNone(self.info.get('address')) self.assertIsNotNone(self.info.get('username')) self.assertIsNotNone(self.info.get('password')) self.assertIsNotNone(self.info.get('uuid')) info = dict(INFO_DICT) # test the default value for 'priv_level' node = obj_utils.get_test_node(self.context, driver_info=info) ret = ipmi._parse_driver_info(node) self.assertEqual('ADMINISTRATOR', ret['priv_level']) # ipmi_username / ipmi_password are not mandatory del info['ipmi_username'] node = obj_utils.get_test_node(self.context, driver_info=info) ipmi._parse_driver_info(node) del info['ipmi_password'] node = obj_utils.get_test_node(self.context, driver_info=info) ipmi._parse_driver_info(node) # make sure error is raised when ipmi_address is missing del info['ipmi_address'] node = obj_utils.get_test_node(self.context, driver_info=info) self.assertRaises(exception.InvalidParameterValue, ipmi._parse_driver_info, node) # test the invalid priv_level value self.info['priv_level'] = 'ABCD' node = obj_utils.get_test_node(self.context, driver_info=info) self.assertRaises(exception.InvalidParameterValue, ipmi._parse_driver_info, node) @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(ipmi, '_make_password_file', autospec=True) @mock.patch.object(utils, 'execute', autospec=True) def test__exec_ipmitool_first_call_to_address(self, mock_exec, mock_pwf, mock_timing_support, mock_sleep): ipmi.LAST_CMD_TIME = {} pw_file_handle = tempfile.NamedTemporaryFile() pw_file = pw_file_handle.name file_handle = open(pw_file, "w") args = [ 'ipmitool', '-I', 'lanplus', '-H', self.info['address'], '-L', self.info['priv_level'], '-U', self.info['username'], '-f', file_handle, 'A', 'B', 'C', ] mock_timing_support.return_value = False mock_pwf.return_value = file_handle mock_exec.return_value = (None, None) ipmi._exec_ipmitool(self.info, 'A B C') mock_pwf.assert_called_once_with(self.info['password']) mock_exec.assert_called_once_with(*args) self.assertFalse(mock_sleep.called) @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(ipmi, '_make_password_file', autospec=True) @mock.patch.object(utils, 'execute', autospec=True) def test__exec_ipmitool_second_call_to_address_sleep(self, mock_exec, mock_pwf, mock_timing_support, mock_sleep): ipmi.LAST_CMD_TIME = {} pw_file_handle1 = tempfile.NamedTemporaryFile() pw_file1 = pw_file_handle1.name file_handle1 = open(pw_file1, "w") pw_file_handle2 = tempfile.NamedTemporaryFile() pw_file2 = pw_file_handle2.name file_handle2 = open(pw_file2, "w") args = [[ 'ipmitool', '-I', 'lanplus', '-H', self.info['address'], '-L', self.info['priv_level'], '-U', self.info['username'], '-f', file_handle1, 'A', 'B', 'C', ], [ 'ipmitool', '-I', 'lanplus', '-H', self.info['address'], '-L', self.info['priv_level'], '-U', self.info['username'], '-f', file_handle2, 'D', 'E', 'F', ]] mock_timing_support.return_value = False mock_pwf.side_effect = iter([file_handle1, file_handle2]) mock_exec.side_effect = iter([(None, None), (None, None)]) ipmi._exec_ipmitool(self.info, 'A B C') mock_exec.assert_called_with(*args[0]) ipmi._exec_ipmitool(self.info, 'D E F') self.assertTrue(mock_sleep.called) mock_exec.assert_called_with(*args[1]) @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(ipmi, '_make_password_file', autospec=True) @mock.patch.object(utils, 'execute', autospec=True) def test__exec_ipmitool_second_call_to_address_no_sleep(self, mock_exec, mock_pwf, mock_timing_support, mock_sleep): ipmi.LAST_CMD_TIME = {} pw_file_handle1 = tempfile.NamedTemporaryFile() pw_file1 = pw_file_handle1.name file_handle1 = open(pw_file1, "w") pw_file_handle2 = tempfile.NamedTemporaryFile() pw_file2 = pw_file_handle2.name file_handle2 = open(pw_file2, "w") args = [[ 'ipmitool', '-I', 'lanplus', '-H', self.info['address'], '-L', self.info['priv_level'], '-U', self.info['username'], '-f', file_handle1, 'A', 'B', 'C', ], [ 'ipmitool', '-I', 'lanplus', '-H', self.info['address'], '-L', self.info['priv_level'], '-U', self.info['username'], '-f', file_handle2, 'D', 'E', 'F', ]] mock_timing_support.return_value = False mock_pwf.side_effect = iter([file_handle1, file_handle2]) mock_exec.side_effect = iter([(None, None), (None, None)]) ipmi._exec_ipmitool(self.info, 'A B C') mock_exec.assert_called_with(*args[0]) # act like enough time has passed ipmi.LAST_CMD_TIME[self.info['address']] = (time.time() - CONF.ipmi.min_command_interval) ipmi._exec_ipmitool(self.info, 'D E F') self.assertFalse(mock_sleep.called) mock_exec.assert_called_with(*args[1]) @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(ipmi, '_make_password_file', autospec=True) @mock.patch.object(utils, 'execute', autospec=True) def test__exec_ipmitool_two_calls_to_diff_address(self, mock_exec, mock_pwf, mock_timing_support, mock_sleep): ipmi.LAST_CMD_TIME = {} pw_file_handle1 = tempfile.NamedTemporaryFile() pw_file1 = pw_file_handle1.name file_handle1 = open(pw_file1, "w") pw_file_handle2 = tempfile.NamedTemporaryFile() pw_file2 = pw_file_handle2.name file_handle2 = open(pw_file2, "w") args = [[ 'ipmitool', '-I', 'lanplus', '-H', self.info['address'], '-L', self.info['priv_level'], '-U', self.info['username'], '-f', file_handle1, 'A', 'B', 'C', ], [ 'ipmitool', '-I', 'lanplus', '-H', '127.127.127.127', '-L', self.info['priv_level'], '-U', self.info['username'], '-f', file_handle2, 'D', 'E', 'F', ]] mock_timing_support.return_value = False mock_pwf.side_effect = iter([file_handle1, file_handle2]) mock_exec.side_effect = iter([(None, None), (None, None)]) ipmi._exec_ipmitool(self.info, 'A B C') mock_exec.assert_called_with(*args[0]) self.info['address'] = '127.127.127.127' ipmi._exec_ipmitool(self.info, 'D E F') self.assertFalse(mock_sleep.called) mock_exec.assert_called_with(*args[1]) @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(ipmi, '_make_password_file', autospec=True) @mock.patch.object(utils, 'execute', autospec=True) def test__exec_ipmitool_without_timing(self, mock_exec, mock_pwf, mock_timing_support, mock_sleep): pw_file_handle = tempfile.NamedTemporaryFile() pw_file = pw_file_handle.name file_handle = open(pw_file, "w") args = [ 'ipmitool', '-I', 'lanplus', '-H', self.info['address'], '-L', self.info['priv_level'], '-U', self.info['username'], '-f', file_handle, 'A', 'B', 'C', ] mock_timing_support.return_value = False mock_pwf.return_value = file_handle mock_exec.return_value = (None, None) ipmi._exec_ipmitool(self.info, 'A B C') mock_pwf.assert_called_once_with(self.info['password']) mock_exec.assert_called_once_with(*args) @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(ipmi, '_make_password_file', autospec=True) @mock.patch.object(utils, 'execute', autospec=True) def test__exec_ipmitool_with_timing(self, mock_exec, mock_pwf, mock_timing_support, mock_sleep): pw_file_handle = tempfile.NamedTemporaryFile() pw_file = pw_file_handle.name file_handle = open(pw_file, "w") args = [ 'ipmitool', '-I', 'lanplus', '-H', self.info['address'], '-L', self.info['priv_level'], '-U', self.info['username'], '-R', '12', '-N', '5', '-f', file_handle, 'A', 'B', 'C', ] mock_timing_support.return_value = True mock_pwf.return_value = file_handle mock_exec.return_value = (None, None) ipmi._exec_ipmitool(self.info, 'A B C') mock_pwf.assert_called_once_with(self.info['password']) mock_exec.assert_called_once_with(*args) @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(ipmi, '_make_password_file', autospec=True) @mock.patch.object(utils, 'execute', autospec=True) def test__exec_ipmitool_without_username(self, mock_exec, mock_pwf, mock_timing_support, mock_sleep): self.info['username'] = None pw_file_handle = tempfile.NamedTemporaryFile() pw_file = pw_file_handle.name file_handle = open(pw_file, "w") args = [ 'ipmitool', '-I', 'lanplus', '-H', self.info['address'], '-L', self.info['priv_level'], '-f', file_handle, 'A', 'B', 'C', ] mock_timing_support.return_value = False mock_pwf.return_value = file_handle mock_exec.return_value = (None, None) ipmi._exec_ipmitool(self.info, 'A B C') self.assertTrue(mock_pwf.called) mock_exec.assert_called_once_with(*args) @mock.patch.object(ipmi, '_is_timing_supported') @mock.patch.object(ipmi, '_make_password_file', autospec=True) @mock.patch.object(utils, 'execute', autospec=True) def test__exec_ipmitool_exception(self, mock_exec, mock_pwf, mock_timing_support, mock_sleep): pw_file_handle = tempfile.NamedTemporaryFile() pw_file = pw_file_handle.name file_handle = open(pw_file, "w") args = [ 'ipmitool', '-I', 'lanplus', '-H', self.info['address'], '-L', self.info['priv_level'], '-U', self.info['username'], '-f', file_handle, 'A', 'B', 'C', ] mock_timing_support.return_value = False mock_pwf.return_value = file_handle mock_exec.side_effect = processutils.ProcessExecutionError("x") self.assertRaises(processutils.ProcessExecutionError, ipmi._exec_ipmitool, self.info, 'A B C') mock_pwf.assert_called_once_with(self.info['password']) mock_exec.assert_called_once_with(*args) @mock.patch.object(ipmi, '_exec_ipmitool', autospec=True) def test__power_status_on(self, mock_exec, mock_sleep): mock_exec.return_value = ["Chassis Power is on\n", None] state = ipmi._power_status(self.info) mock_exec.assert_called_once_with(self.info, "power status") self.assertEqual(states.POWER_ON, state) @mock.patch.object(ipmi, '_exec_ipmitool', autospec=True) def test__power_status_off(self, mock_exec, mock_sleep): mock_exec.return_value = ["Chassis Power is off\n", None] state = ipmi._power_status(self.info) mock_exec.assert_called_once_with(self.info, "power status") self.assertEqual(states.POWER_OFF, state) @mock.patch.object(ipmi, '_exec_ipmitool', autospec=True) def test__power_status_error(self, mock_exec, mock_sleep): mock_exec.return_value = ["Chassis Power is badstate\n", None] state = ipmi._power_status(self.info) mock_exec.assert_called_once_with(self.info, "power status") self.assertEqual(states.ERROR, state) @mock.patch.object(ipmi, '_exec_ipmitool', autospec=True) def test__power_status_exception(self, mock_exec, mock_sleep): mock_exec.side_effect = processutils.ProcessExecutionError("error") self.assertRaises(exception.IPMIFailure, ipmi._power_status, self.info) mock_exec.assert_called_once_with(self.info, "power status") @mock.patch.object(ipmi, '_exec_ipmitool', autospec=True) @mock.patch('eventlet.greenthread.sleep') def test__power_on_max_retries(self, sleep_mock, mock_exec, mock_sleep): self.config(retry_timeout=2, group='ipmi') def side_effect(driver_info, command): resp_dict = {"power status": ["Chassis Power is off\n", None], "power on": [None, None]} return resp_dict.get(command, ["Bad\n", None]) mock_exec.side_effect = side_effect expected = [mock.call(self.info, "power on"), mock.call(self.info, "power status"), mock.call(self.info, "power status")] state = ipmi._power_on(self.info) self.assertEqual(mock_exec.call_args_list, expected) self.assertEqual(states.ERROR, state) class IPMIToolDriverTestCase(db_base.DbTestCase): def setUp(self): super(IPMIToolDriverTestCase, self).setUp() self.context = context.get_admin_context() self.dbapi = db_api.get_instance() mgr_utils.mock_the_extension_manager(driver="fake_ipmitool") self.driver = driver_factory.get_driver("fake_ipmitool") self.node = obj_utils.create_test_node(self.context, driver='fake_ipmitool', driver_info=INFO_DICT) self.info = ipmi._parse_driver_info(self.node) @mock.patch.object(ipmi, '_exec_ipmitool', autospec=True) def test_get_power_state(self, mock_exec): returns = iter([["Chassis Power is off\n", None], ["Chassis Power is on\n", None], ["\n", None]]) expected = [mock.call(self.info, "power status"), mock.call(self.info, "power status"), mock.call(self.info, "power status")] mock_exec.side_effect = returns with task_manager.acquire(self.context, self.node.uuid) as task: pstate = self.driver.power.get_power_state(task) self.assertEqual(states.POWER_OFF, pstate) pstate = self.driver.power.get_power_state(task) self.assertEqual(states.POWER_ON, pstate) pstate = self.driver.power.get_power_state(task) self.assertEqual(states.ERROR, pstate) self.assertEqual(mock_exec.call_args_list, expected) @mock.patch.object(ipmi, '_exec_ipmitool', autospec=True) def test_get_power_state_exception(self, mock_exec): mock_exec.side_effect = processutils.ProcessExecutionError("error") with task_manager.acquire(self.context, self.node.uuid) as task: self.assertRaises(exception.IPMIFailure, self.driver.power.get_power_state, task) mock_exec.assert_called_once_with(self.info, "power status") @mock.patch.object(ipmi, '_power_on', autospec=True) @mock.patch.object(ipmi, '_power_off', autospec=True) def test_set_power_on_ok(self, mock_off, mock_on): self.config(retry_timeout=0, group='ipmi') mock_on.return_value = states.POWER_ON with task_manager.acquire(self.context, self.node['uuid']) as task: self.driver.power.set_power_state(task, states.POWER_ON) mock_on.assert_called_once_with(self.info) self.assertFalse(mock_off.called) @mock.patch.object(ipmi, '_power_on', autospec=True) @mock.patch.object(ipmi, '_power_off', autospec=True) def test_set_power_off_ok(self, mock_off, mock_on): self.config(retry_timeout=0, group='ipmi') mock_off.return_value = states.POWER_OFF with task_manager.acquire(self.context, self.node['uuid']) as task: self.driver.power.set_power_state(task, states.POWER_OFF) mock_off.assert_called_once_with(self.info) self.assertFalse(mock_on.called) @mock.patch.object(ipmi, '_power_on', autospec=True) @mock.patch.object(ipmi, '_power_off', autospec=True) def test_set_power_on_fail(self, mock_off, mock_on): self.config(retry_timeout=0, group='ipmi') mock_on.return_value = states.ERROR with task_manager.acquire(self.context, self.node['uuid']) as task: self.assertRaises(exception.PowerStateFailure, self.driver.power.set_power_state, task, states.POWER_ON) mock_on.assert_called_once_with(self.info) self.assertFalse(mock_off.called) def test_set_power_invalid_state(self): with task_manager.acquire(self.context, self.node['uuid']) as task: self.assertRaises(exception.InvalidParameterValue, self.driver.power.set_power_state, task, "fake state") @mock.patch.object(ipmi, '_exec_ipmitool', autospec=True) def test_set_boot_device_ok(self, mock_exec): mock_exec.return_value = [None, None] with task_manager.acquire(self.context, self.node['uuid']) as task: self.driver.vendor._set_boot_device(task, 'pxe') mock_exec.assert_called_once_with(self.info, "chassis bootdev pxe") def test_set_boot_device_bad_device(self): with task_manager.acquire(self.context, self.node['uuid']) as task: self.assertRaises(exception.InvalidParameterValue, self.driver.vendor._set_boot_device, task, 'fake-device') @mock.patch.object(ipmi, '_power_off', autospec=False) @mock.patch.object(ipmi, '_power_on', autospec=False) def test_reboot_ok(self, mock_on, mock_off): manager = mock.MagicMock() #NOTE(rloo): if autospec is True, then manager.mock_calls is empty mock_on.return_value = states.POWER_ON manager.attach_mock(mock_off, 'power_off') manager.attach_mock(mock_on, 'power_on') expected = [mock.call.power_off(self.info), mock.call.power_on(self.info)] with task_manager.acquire(self.context, self.node['uuid']) as task: self.driver.power.reboot(task) self.assertEqual(manager.mock_calls, expected) @mock.patch.object(ipmi, '_power_off', autospec=False) @mock.patch.object(ipmi, '_power_on', autospec=False) def test_reboot_fail(self, mock_on, mock_off): manager = mock.MagicMock() #NOTE(rloo): if autospec is True, then manager.mock_calls is empty mock_on.return_value = states.ERROR manager.attach_mock(mock_off, 'power_off') manager.attach_mock(mock_on, 'power_on') expected = [mock.call.power_off(self.info), mock.call.power_on(self.info)] with task_manager.acquire(self.context, self.node['uuid']) as task: self.assertRaises(exception.PowerStateFailure, self.driver.power.reboot, task) self.assertEqual(manager.mock_calls, expected) @mock.patch.object(ipmi, '_parse_driver_info') def test_vendor_passthru_validate__set_boot_device_good(self, info_mock): with task_manager.acquire(self.context, self.node['uuid']) as task: self.driver.vendor.validate(task, method='set_boot_device', device='pxe') info_mock.assert_called_once_with(task.node) @mock.patch.object(ipmi, '_parse_driver_info') def test_vendor_passthru_validate__set_boot_device_fail(self, info_mock): with task_manager.acquire(self.context, self.node['uuid']) as task: self.assertRaises(exception.InvalidParameterValue, self.driver.vendor.validate, task, method='set_boot_device', device='fake') self.assertFalse(info_mock.called) @mock.patch.object(ipmi, '_parse_driver_info') def test_vendor_passthru_validate__set_boot_device_fail_no_device( self, info_mock): with task_manager.acquire(self.context, self.node['uuid']) as task: self.assertRaises(exception.InvalidParameterValue, self.driver.vendor.validate, task, method='set_boot_device') self.assertFalse(info_mock.called) @mock.patch.object(ipmi, '_parse_driver_info') def test_vendor_passthru_validate_method_notmatch(self, info_mock): with task_manager.acquire(self.context, self.node['uuid']) as task: self.assertRaises(exception.InvalidParameterValue, self.driver.vendor.validate, task, method='fake_method') self.assertFalse(info_mock.called) @mock.patch.object(ipmi, '_parse_driver_info') def test_vendor_passthru_validate__parse_driver_info_fail(self, info_mock): info_mock.side_effect = exception.InvalidParameterValue("bad") with task_manager.acquire(self.context, self.node['uuid']) as task: self.assertRaises(exception.InvalidParameterValue, self.driver.vendor.validate, task, method='set_boot_device', device='pxe') info_mock.assert_called_once_with(task.node) @mock.patch.object(ipmi.VendorPassthru, '_set_boot_device') def test_vendor_passthru_call_set_boot_device(self, boot_mock): with task_manager.acquire(self.context, self.node['uuid'], shared=False) as task: self.driver.vendor.vendor_passthru(task, method='set_boot_device', device='pxe') boot_mock.assert_called_once_with(task, 'pxe', False) @mock.patch.object(console_utils, 'start_shellinabox_console', autospec=True) def test_start_console(self, mock_exec): mock_exec.return_value = None with task_manager.acquire(self.context, self.node['uuid']) as task: self.driver.console.start_console(task) mock_exec.assert_called_once_with(self.info['uuid'], self.info['port'], mock.ANY) self.assertTrue(mock_exec.called) @mock.patch.object(console_utils, 'start_shellinabox_console', autospec=True) def test_start_console_fail(self, mock_exec): mock_exec.side_effect = exception.ConsoleSubprocessFailed( error='error') with task_manager.acquire(self.context, self.node['uuid']) as task: self.assertRaises(exception.ConsoleSubprocessFailed, self.driver.console.start_console, task) @mock.patch.object(console_utils, 'stop_shellinabox_console', autospec=True) def test_stop_console(self, mock_exec): mock_exec.return_value = None with task_manager.acquire(self.context, self.node['uuid']) as task: self.driver.console.stop_console(task) mock_exec.assert_called_once_with(self.info['uuid']) self.assertTrue(mock_exec.called) @mock.patch.object(console_utils, 'get_shellinabox_console_url', utospec=True) def test_get_console(self, mock_exec): url = 'http://localhost:4201' mock_exec.return_value = url expected = {'type': 'shellinabox', 'url': url} with task_manager.acquire(self.context, self.node['uuid']) as task: console_info = self.driver.console.get_console(task) self.assertEqual(expected, console_info) mock_exec.assert_called_once_with(self.info['port']) self.assertTrue(mock_exec.called)

40.640496

79

0.619454

3,543

29,505

4.874965

0.085803

0.042149

0.051239

0.047302

0.790296

0.761116

0.746642

0.72522

0.712367

0.694708

0

0.005004

0.268463

29,505

725

80

40.696552

0.795219

0.03918

0

0.668385

0

0.087432

0.00565

0

0.147766

1

0.070447

false

0.046392

0.037801

0

0.11512

0

null

0

1

0

null

0

5

a6be6609e8bae2eac04d77a602141d2005fbdfd7

164

py

Python

merchandises/admin.py

it-teaching-abo-akademi/webshop-project-arnelimperial

98fc7bd8ce031a50c0bd83a6c5c48ed93030e528

[ "Unlicense" ]

null

merchandises/admin.py

it-teaching-abo-akademi/webshop-project-arnelimperial

98fc7bd8ce031a50c0bd83a6c5c48ed93030e528

[ "Unlicense" ]

null

merchandises/admin.py

it-teaching-abo-akademi/webshop-project-arnelimperial

98fc7bd8ce031a50c0bd83a6c5c48ed93030e528

[ "Unlicense" ]

null

from django.contrib import admin from .models import Merchandise from users.admin import admin_log admin.site.register(Merchandise) admin_log.register(Merchandise)

27.333333

33

0.853659

23

164

6

0.478261

0.15942

0

0.085366

164

6

34

27.333333

0.92

0

1

0

true

0

0.6

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4706c38bfd8d7d557b20be218059393335e997ab

50

py

Python

environments/simple-road/simple_road/envs/__init__.py

KarlRong/Safe-RL-for-Driving

67484911ca8ad9f1476e96043c379c01cd5ced8c

[ "Apache-2.0" ]

null

environments/simple-road/simple_road/envs/__init__.py

KarlRong/Safe-RL-for-Driving

67484911ca8ad9f1476e96043c379c01cd5ced8c

[ "Apache-2.0" ]

null

environments/simple-road/simple_road/envs/__init__.py

KarlRong/Safe-RL-for-Driving

67484911ca8ad9f1476e96043c379c01cd5ced8c

[ "Apache-2.0" ]

null

from simple_road.envs.simpleroad import SimpleRoad

50

0.9

7

50

6.285714

0.857143

0

0.06

50

1

50

0.93617

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5b5326b62dfd7181dd3b8f3643b1464c36e99bc0

3,765

py

Python

domestic/migrations/0020_update_domestic_homepage_streamfields.py

uktrade/great-cms

f13fa335ddcb925bc33a5fa096fe73ef7bdd351a

[ "MIT" ]

10

2020-04-30T12:04:35.000Z

2021-07-21T12:48:55.000Z

domestic/migrations/0020_update_domestic_homepage_streamfields.py

uktrade/great-cms

f13fa335ddcb925bc33a5fa096fe73ef7bdd351a

[ "MIT" ]

1,461

2020-01-23T18:20:26.000Z

2022-03-31T08:05:56.000Z

domestic/migrations/0020_update_domestic_homepage_streamfields.py

uktrade/great-cms

f13fa335ddcb925bc33a5fa096fe73ef7bdd351a

[ "MIT" ]

3

2020-04-07T20:11:36.000Z

2020-10-16T16:22:59.000Z

# Generated by Django 2.2.18 on 2021-02-12 13:12 import wagtail.core.blocks import wagtail.core.fields import wagtail.images.blocks from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('domestic', '0019_greatdomestichomepage'), ] operations = [ migrations.AlterField( model_name='greatdomestichomepage', name='how_dit_helps_columns', field=wagtail.core.fields.StreamField( [ ( 'columns', wagtail.core.blocks.StructBlock( [ ( 'internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False), ), ( 'external_link', wagtail.core.blocks.CharBlock( label='External link', max_length=255, required=False ), ), ( 'source', wagtail.core.blocks.CharBlock( help_text='The source or the type of the link, e.g. GOV.UK/Advice' ), ), ('text', wagtail.core.blocks.CharBlock()), ('url', wagtail.core.blocks.CharBlock()), ('image', wagtail.images.blocks.ImageChooserBlock(required=False)), ('content', wagtail.core.blocks.RichTextBlock()), ] ), ) ], blank=True, null=True, ), ), migrations.AlterField( model_name='greatdomestichomepage', name='what_is_new_pages', field=wagtail.core.fields.StreamField( [ ( 'pages', wagtail.core.blocks.StructBlock( [ ( 'internal_link', wagtail.core.blocks.PageChooserBlock(label='Internal link', required=False), ), ( 'external_link', wagtail.core.blocks.CharBlock( label='External link', max_length=255, required=False ), ), ( 'source', wagtail.core.blocks.CharBlock( help_text='The source or the type of the link, e.g. GOV.UK/Advice' ), ), ('text', wagtail.core.blocks.CharBlock()), ('url', wagtail.core.blocks.CharBlock()), ('image', wagtail.images.blocks.ImageChooserBlock(required=False)), ('content', wagtail.core.blocks.RichTextBlock()), ] ), ) ], blank=True, null=True, ), ), ]

41.373626

112

0.349801

220

3,765

5.909091

0.322727

0.152308

0.196154

0.16

0.795385

0.744615

0.661538

0

0.015971

0.567596

3,765

90

113

41.833333

0.782555

0.012218

0

0.642857

1

0

0.104385

0.023944

0

1

0

false

0

0.047619

0

0.083333

0

null

0

1

0

1

0

1

0

1

0

1

0

null

0

5

5b9e53aabffbbdc354b5864efbf1e9e33a192866

31

py

Python

robohash/__init__.py

vrialland/Robohash

569c1bc3a948da9b49fc287f6c3816a0c2c71c06

[ "MIT" ]

null

robohash/__init__.py

vrialland/Robohash

569c1bc3a948da9b49fc287f6c3816a0c2c71c06

[ "MIT" ]

null

robohash/__init__.py

vrialland/Robohash

569c1bc3a948da9b49fc287f6c3816a0c2c71c06

[ "MIT" ]

null

from .robohash import Robohash

15.5

30

0.83871

4

31

6.5

0.75

0

0.129032

31

1

31

0.962963

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5bbeebf811175605dd1ffd5919437e38a048a552

184

py

Python

employees/admin.py

devendraotari/HRMS_project

c6480903c2a8212c6698987e8ced96a114c4d7c7

[ "BSD-2-Clause" ]

null

employees/admin.py

devendraotari/HRMS_project

c6480903c2a8212c6698987e8ced96a114c4d7c7

[ "BSD-2-Clause" ]

null

employees/admin.py

devendraotari/HRMS_project

c6480903c2a8212c6698987e8ced96a114c4d7c7

[ "BSD-2-Clause" ]

null

from django.contrib import admin from employees.models import Leave,EmployeeProfile admin.site.register(Leave) admin.site.register(EmployeeProfile) # Register your models here.

26.285714

51

0.809783

23

184

6.478261

0.565217

0.120805

0.228188

0

0.119565

184

6

52

30.666667

0.919753

0.141304

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

5bfb52e5b96ef4feff80a4eb2d55057a37d6f772

131

py

Python

doubleml/tests/test_package.py

SvenKlaassen/doubleml-for-py

b3cbdb572fce435c18ec67ca323645900fc901b5

[ "MIT" ]

103

2020-12-21T08:41:17.000Z

2022-03-29T07:49:48.000Z

doubleml/tests/test_package.py

SvenKlaassen/doubleml-for-py

b3cbdb572fce435c18ec67ca323645900fc901b5

[ "MIT" ]

27

2020-12-23T09:25:25.000Z

2022-03-31T12:22:30.000Z

doubleml/tests/test_package.py

SvenKlaassen/doubleml-for-py

b3cbdb572fce435c18ec67ca323645900fc901b5

[ "MIT" ]

17

2021-02-10T10:03:08.000Z

2022-03-23T15:44:57.000Z

import pytest @pytest.mark.ci def test_version_is_string(): import doubleml assert isinstance(doubleml.__version__, str)

16.375

48

0.770992

17

131

5.529412

0.764706

0

0.152672

131

7

49

18.714286

0.846847

0

0.2

1

0.2

true

0

0.4

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

750b6eff6698134d0508066543ab88d013ffe588

4,825

py

Python

epytope/Data/pssms/arb/mat/B_0801_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

7

2021-02-01T18:11:28.000Z

2022-01-31T19:14:07.000Z

epytope/Data/pssms/arb/mat/B_0801_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

22

2021-01-02T15:25:23.000Z

2022-03-14T11:32:53.000Z

epytope/Data/pssms/arb/mat/B_0801_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

4

2021-05-28T08:50:38.000Z

2022-03-14T11:45:32.000Z

B_0801_9 = {0: {'A': -0.35546112076816555, 'C': 0.1390354845381006, 'E': 0.09032560851621063, 'D': -0.30472565229029575, 'G': -0.5859403659104743, 'F': 0.5653734352027776, 'I': -0.2302935030355846, 'H': -0.06195640840465535, 'K': -0.5731227192331432, 'M': 0.6895303638625885, 'L': 0.2147550734199732, 'N': 0.5998454024864974, 'Q': -0.09833217796848334, 'P': -0.7736668618706855, 'S': 0.478021626571405, 'R': -0.14047311396394319, 'T': -0.46952341525198427, 'W': 0.20546221065838507, 'V': -0.3964075930125115, 'Y': 0.3831896749926756}, 1: {'A': 0.2587699688647752, 'C': -0.0528719456460699, 'E': -0.6034567371871152, 'D': -0.7295563286975753, 'G': -0.118184082147505, 'F': 0.09993406670694688, 'I': 0.32157490295484364, 'H': -0.6161077061041225, 'K': -0.014120335660250376, 'M': 0.4195894987135908, 'L': 0.6014425830728971, 'N': 0.8018567727676502, 'Q': -0.4204862069038241, 'P': 0.5362975602944958, 'S': -0.44234657013811646, 'R': -0.2099177840713644, 'T': -0.601396063263218, 'W': -0.789421088597201, 'V': -0.29265951571003695, 'Y': -0.6318552558779417}, 2: {'A': -0.0753533941449628, 'C': -0.5515184586019515, 'E': -0.4041202032458205, 'D': -0.7780816732954248, 'G': -0.45010759046455356, 'F': -0.30476713343067907, 'I': -0.2825119889355228, 'H': -0.13788341558615097, 'K': 0.9660411056146168, 'M': 0.5493526426339789, 'L': 0.09503653119650937, 'N': -0.42318199391678013, 'Q': -0.24519780382698741, 'P': -0.5657164828675832, 'S': -0.3044593387670813, 'R': 0.7975862112754956, 'T': -0.497842280762395, 'W': -0.4687747978042235, 'V': -0.5134818209361055, 'Y': -0.2137856253706629}, 3: {'A': 0.04631399492694323, 'C': 0.33140875002937814, 'E': -0.23864598955449662, 'D': -0.48337531737223144, 'G': -0.5292575197551069, 'F': 0.21351597731496502, 'I': 0.15850973518423891, 'H': 0.03313469262907752, 'K': 0.35947061657397084, 'M': 0.5406584877776048, 'L': -0.015713681185651713, 'N': 0.16227314638751902, 'Q': -0.0717768756007684, 'P': -0.44579670830900553, 'S': 0.22717238405572784, 'R': 0.45570731954439214, 'T': 0.20480633103595086, 'W': -0.18390820923774365, 'V': -0.16029524849381405, 'Y': 0.19054674677297753}, 4: {'A': -0.5255697018972897, 'C': -0.17512346628140585, 'E': -0.6200852292509584, 'D': -0.5024995745991805, 'G': -0.5792479607706388, 'F': -0.10814287654319965, 'I': -0.13747715660922896, 'H': 0.6900870761615284, 'K': 0.8072652826183842, 'M': -0.03374409803326029, 'L': -0.25058697546452263, 'N': -0.4426417228720755, 'Q': -0.44692063964681994, 'P': -0.6530966811707829, 'S': -0.31894563993061836, 'R': 1.1224596702821803, 'T': -0.5003349762533003, 'W': -0.599020256537477, 'V': -0.4698209793184719, 'Y': 0.11887049648424557}, 5: {'A': -0.15790343676345134, 'C': -0.20267247941638192, 'E': -0.6198327509283716, 'D': -0.4710016266326506, 'G': -0.4723322514338597, 'F': 0.9351203598376184, 'I': 0.08474160006663163, 'H': -0.047185189187376235, 'K': 0.015223954273279312, 'M': -0.38965366416713165, 'L': 0.159793875483943, 'N': -0.2223255553564704, 'Q': -0.15144278197112, 'P': -0.061773772919732114, 'S': -0.09324215800842942, 'R': 0.26343655498003193, 'T': -0.1652164591329006, 'W': -0.2165727629019963, 'V': -0.12714719973630112, 'Y': -0.21893835619018095}, 6: {'A': 0.19176982718720284, 'C': 0.5603034582271288, 'E': 0.04680873424463096, 'D': -0.47868535654270733, 'G': -0.3518340692973818, 'F': -0.4583260826883663, 'I': -0.492850768597747, 'H': 0.14892529469357602, 'K': 0.15534065371753833, 'M': 0.002416843014706623, 'L': 0.24536490852973764, 'N': 0.16110156322326674, 'Q': -0.04853677746064066, 'P': -0.2180905319850181, 'S': 0.18166566219707503, 'R': 0.09225249101064234, 'T': -0.036164053603463774, 'W': -0.042208662797619624, 'V': -0.08822084128629691, 'Y': 0.4746363209340129}, 7: {'A': 0.36272242024447987, 'C': 0.12860105243895265, 'E': -0.26757407140683026, 'D': -0.23202990880035246, 'G': -0.46402500212869147, 'F': -0.18240951215548631, 'I': 0.229790210477418, 'H': 0.009645477322050351, 'K': -0.39831470582587664, 'M': -0.37330006658573167, 'L': -0.4809105408206893, 'N': -0.1575424779625635, 'Q': -0.1848735812815564, 'P': 0.41792368883958725, 'S': 0.5997733934128437, 'R': -0.09038829691916375, 'T': -0.0012304691372814346, 'W': -0.4983382127144192, 'V': 0.09721040613394948, 'Y': -0.2717988323302917}, 8: {'A': 0.14572522692737397, 'C': -0.5187663991372949, 'E': 0.13273737485241696, 'D': -1.0676860810460305, 'G': -0.3969883728240788, 'F': 0.02470468898846109, 'I': 0.5405259016824722, 'H': -0.8391652192775269, 'K': -0.842450640602881, 'M': 0.4387128372095698, 'L': 0.8002486260377394, 'N': -0.8633668394407205, 'Q': -0.6948878809030512, 'P': -0.5267694196355964, 'S': -0.4926168898325624, 'R': -0.7796082481160197, 'T': -0.7785854491527421, 'W': -0.6954574720223298, 'V': 0.06950333709994058, 'Y': -0.8506388562350704}, -1: {'slope': 0.12839908238047404, 'intercept': -0.4589925881410627}}

4,825

0.703005

559

4,825

6.064401

0.386404

0.00531

0

0.717978

0.07772

4,825

1

4,825

0.04382

0

0.040199

0

1

0

false

0

null

0

1

0

1

0

null

0

5

75581750af8ccecd64bb697bbe72e4106a3f1da3

8,523

py

Python

api/cases/tests/tests_grant_licence.py

django-doctor/lite-api

1ba278ba22ebcbb977dd7c31dd3701151cd036bf

[ "MIT" ]

null

api/cases/tests/tests_grant_licence.py

django-doctor/lite-api

1ba278ba22ebcbb977dd7c31dd3701151cd036bf

[ "MIT" ]

null

api/cases/tests/tests_grant_licence.py

django-doctor/lite-api

1ba278ba22ebcbb977dd7c31dd3701151cd036bf

[ "MIT" ]

null

from unittest import mock from django.conf import settings from django.urls import reverse from rest_framework import status from gov_notify.enums import TemplateType from api.licences.enums import LicenceStatus from api.licences.models import Licence from api.audit_trail.models import Audit from api.cases.enums import AdviceType, CaseTypeEnum, AdviceLevel from api.cases.generated_documents.models import GeneratedCaseDocument from api.core.constants import GovPermissions from api.core.exceptions import PermissionDeniedError from lite_content.lite_api.strings import Cases from api.staticdata.decisions.models import Decision from api.staticdata.statuses.enums import CaseStatusEnum from api.staticdata.statuses.models import CaseStatus from test_helpers.clients import DataTestClient class FinaliseCaseTests(DataTestClient): def setUp(self): super().setUp() self.standard_case = self.create_standard_application_case(self.organisation) self.url = reverse("cases:finalise", kwargs={"pk": self.standard_case.id}) self.create_advice(self.gov_user, self.standard_case, "good", AdviceType.APPROVE, AdviceLevel.FINAL) self.template = self.create_letter_template( name="Template", case_types=[CaseTypeEnum.SIEL.id], decisions=[Decision.objects.get(name=AdviceType.APPROVE)], ) @mock.patch("gov_notify.service.client") @mock.patch("api.cases.generated_documents.models.GeneratedCaseDocument.send_exporter_notifications") def test_grant_standard_application_success(self, send_exporter_notifications_func, mock_notify_client): self.gov_user.role.permissions.set([GovPermissions.MANAGE_LICENCE_FINAL_ADVICE.name]) licence = self.create_licence(self.standard_case, status=LicenceStatus.DRAFT) self.create_generated_case_document( self.standard_case, self.template, advice_type=AdviceType.APPROVE, licence=licence ) response = self.client.put(self.url, data={}, **self.gov_headers) self.standard_case.refresh_from_db() self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(response.json()["licence"], str(licence.id)) self.assertEqual( Licence.objects.filter( case=self.standard_case, status=LicenceStatus.ISSUED, decisions__exact=Decision.objects.get(name=AdviceType.APPROVE), ).count(), 1, ) self.assertEqual(self.standard_case.status, CaseStatus.objects.get(status=CaseStatusEnum.FINALISED)) for document in GeneratedCaseDocument.objects.filter(advice_type__isnull=False): self.assertTrue(document.visible_to_exporter) self.assertEqual(Audit.objects.count(), 3) send_exporter_notifications_func.assert_called() mock_notify_client.send_email.assert_called_with( email_address=self.standard_case.submitted_by.email, template_id=TemplateType.APPLICATION_STATUS.template_id, data={ "case_reference": self.standard_case.reference_code, "application_reference": self.standard_case.name, "link": f"{settings.EXPORTER_BASE_URL}/applications/{self.standard_case.pk}", }, ) def test_grant_standard_application_wrong_permission_failure(self): self.gov_user.role.permissions.set([GovPermissions.MANAGE_CLEARANCE_FINAL_ADVICE.name]) self.create_licence(self.standard_case, status=LicenceStatus.DRAFT) self.create_generated_case_document(self.standard_case, self.template, advice_type=AdviceType.APPROVE) response = self.client.put(self.url, data={}, **self.gov_headers) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) self.assertEqual(response.json(), {"errors": {"error": PermissionDeniedError.default_detail}}) def test_missing_advice_document_failure(self): self.gov_user.role.permissions.set([GovPermissions.MANAGE_LICENCE_FINAL_ADVICE.name]) self.create_licence(self.standard_case, status=LicenceStatus.DRAFT) response = self.client.put(self.url, data={}, **self.gov_headers) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) self.assertEqual(response.json(), {"errors": {"decision-approve": [Cases.Licence.MISSING_DOCUMENTS]}}) @mock.patch("gov_notify.service.client") @mock.patch("api.cases.generated_documents.models.GeneratedCaseDocument.send_exporter_notifications") def test_grant_clearance_success(self, send_exporter_notifications_func, mock_notify_client): clearance_case = self.create_mod_clearance_application(self.organisation, CaseTypeEnum.EXHIBITION) self.submit_application(clearance_case) self.create_advice(self.gov_user, clearance_case, "good", AdviceType.APPROVE, AdviceLevel.FINAL) self.url = reverse("cases:finalise", kwargs={"pk": clearance_case.id}) self.gov_user.role.permissions.set([GovPermissions.MANAGE_CLEARANCE_FINAL_ADVICE.name]) licence = self.create_licence(clearance_case, status=LicenceStatus.DRAFT) self.create_generated_case_document( clearance_case, self.template, advice_type=AdviceType.APPROVE, licence=licence ) response = self.client.put(self.url, data={}, **self.gov_headers) clearance_case.refresh_from_db() self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(response.json()["licence"], str(licence.id)) self.assertEqual( Licence.objects.filter( case=clearance_case, status=LicenceStatus.ISSUED, decisions__exact=Decision.objects.get(name=AdviceType.APPROVE), ).count(), 1, ) self.assertEqual(clearance_case.status, CaseStatus.objects.get(status=CaseStatusEnum.FINALISED)) for document in GeneratedCaseDocument.objects.filter(advice_type__isnull=False): self.assertTrue(document.visible_to_exporter) self.assertEqual(Audit.objects.count(), 4) send_exporter_notifications_func.assert_called() mock_notify_client.send_email.assert_called_with( email_address=clearance_case.submitted_by.email, template_id=TemplateType.APPLICATION_STATUS.template_id, data={ "case_reference": clearance_case.reference_code, "application_reference": clearance_case.name, "link": f"{settings.EXPORTER_BASE_URL}/applications/{clearance_case.pk}", }, ) def test_grant_clearance_wrong_permission_failure(self): clearance_case = self.create_mod_clearance_application(self.organisation, CaseTypeEnum.EXHIBITION) self.submit_application(clearance_case) self.url = reverse("cases:finalise", kwargs={"pk": clearance_case.id}) self.gov_user.role.permissions.set([GovPermissions.MANAGE_LICENCE_FINAL_ADVICE.name]) self.create_licence(clearance_case, status=LicenceStatus.DRAFT) self.create_generated_case_document(clearance_case, self.template, advice_type=AdviceType.APPROVE) response = self.client.put(self.url, data={}, **self.gov_headers) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) self.assertEqual(response.json(), {"errors": {"error": PermissionDeniedError.default_detail}}) @mock.patch("gov_notify.service.client") def test_finalise_case_without_licence_success(self, mock_notify_client): self.gov_user.role.permissions.set([GovPermissions.MANAGE_LICENCE_FINAL_ADVICE.name]) self.create_generated_case_document(self.standard_case, self.template, advice_type=AdviceType.APPROVE) response = self.client.put(self.url, data={}, **self.gov_headers) self.assertEqual(response.status_code, status.HTTP_201_CREATED) self.assertEqual(response.json(), {"case": str(self.standard_case.pk)}) mock_notify_client.send_email.assert_called_with( email_address=self.standard_case.submitted_by.email, template_id=TemplateType.APPLICATION_STATUS.template_id, data={ "case_reference": self.standard_case.reference_code, "application_reference": self.standard_case.name, "link": f"{settings.EXPORTER_BASE_URL}/applications/{self.standard_case.pk}", }, )

51.343373

110

0.72627

969

8,523

6.119711

0.154799

0.042496

0.056661

0.015177

0.799663

0.768971

0.748735

0.72597

0.701686

0

0.003125

0.174117

8,523

165

111

51.654545

0.839324

0

0.52518

0

0.079901

0.058782

0

0.179856

1

0.05036

false

0

0.122302

0

0.179856

0

null

0

1

0

null

0

5

f32a3e03321e0f0345b7fe91f85beb3d547085be

202

py

Python

03_picnic/version_info.py

ddijk/tiny_python_projects

a9416039559b34bf8d36f1c043d6670f86a4583f

[ "MIT" ]

null

03_picnic/version_info.py

ddijk/tiny_python_projects

a9416039559b34bf8d36f1c043d6670f86a4583f

[ "MIT" ]

null

03_picnic/version_info.py

ddijk/tiny_python_projects

a9416039559b34bf8d36f1c043d6670f86a4583f

[ "MIT" ]

null

import sys print('versie: ' + str(len(sys.version_info))) print('-----') for i in range(len(sys.version_info)): print('versie: ' + str(sys.version_info[i])) print('-----') print(*sys.version_info)

22.444444

48

0.643564

30

202

4.2

0.4

0.31746

0.444444

0.269841

0.349206

0

0.108911

202

8

49

25.25

0.7

0

0.285714

0

0.128713

0

1

0

false

0

0.142857

0

0.142857

0.714286

0

null

1

0

1

0

null

0

1

0

5

f3370b7f803314195bf232becb3d96938d86e639

901

py

Python

webgui/views.py

flychensc/orange

6bb9f032fbf88e3fb04dfbafa5cf07af9acde91b

[ "Apache-2.0" ]

1

2017-09-17T14:09:36.000Z

webgui/views.py

flychensc/orange

6bb9f032fbf88e3fb04dfbafa5cf07af9acde91b

[ "Apache-2.0" ]

1

2019-07-13T15:19:22.000Z

webgui/views.py

flychensc/orange

6bb9f032fbf88e3fb04dfbafa5cf07af9acde91b

[ "Apache-2.0" ]

2

2019-04-23T00:17:28.000Z

2020-07-15T16:31:49.000Z

from django.http import HttpResponseRedirect from django.shortcuts import render from stock import get_basic_info from storage.models import Interest # Create your views here. def home(request): return render(request, 'home.html', locals()) def basic(request): return render(request, 'basic.html', locals()) def detail(request): code = request.GET.get('code') stock_interest = Interest.objects.filter(code=code) if code and len(code) > 6: return HttpResponseRedirect(f"/stock/detail?code={code:{6}.{6}}") return render(request, 'detail.html', locals()) def database(request): return render(request, 'database.html', locals()) def pool(request): return render(request, 'pool.html', locals()) def screener(request): return render(request, 'screener.html', locals()) def backtest(request): return render(request, 'backtest.html', locals())

22.525

73

0.708102

115

901

5.521739

0.321739

0.132283

0.209449

0.245669

0

0.003947

0.156493

901

39

74

23.102564

0.831579

0.025527

0

0.131279

0.037671

0

1

0.318182

false

0

0.181818

0.272727

0.863636

0

null

0

1

0

null

0

1

0

1

0

5

f37ed5f42849aa1b184bf873b10b829d863b95ef

173

py

Python

neighbourhood/admin.py

pascaline-irabaruta/Hood-updates

5777e04cb5bad4b6a4b014222ec8edda99a5622f

[ "MIT" ]

null

neighbourhood/admin.py

pascaline-irabaruta/Hood-updates

5777e04cb5bad4b6a4b014222ec8edda99a5622f

[ "MIT" ]

9

2020-02-12T03:06:29.000Z

2022-03-12T00:11:25.000Z

neighbourhood/admin.py

Mutembeijoe/hood_yetu

5759bbf95a8dd0c7a62987773b71a1a7531ae074

[ "MIT" ]

null

from django.contrib import admin from .models import Neighbourhood, Business # Register your models here. admin.site.register(Neighbourhood) admin.site.register(Business)

21.625

43

0.820809

22

173

6.454545

0.545455

0.126761

0.239437

0

0.104046

173

8

44

21.625

0.916129

0.150289

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

344eb66d2f25ec0d6a6f4123d2acdbecb12ba641

137

py

Python

firebird/__init__.py

mat02/django-firebird

7299f1dca20984cff5a58544b03c954a737b1341

[ "BSD-3-Clause" ]

null

firebird/__init__.py

mat02/django-firebird

7299f1dca20984cff5a58544b03c954a737b1341

[ "BSD-3-Clause" ]

null

firebird/__init__.py

mat02/django-firebird

7299f1dca20984cff5a58544b03c954a737b1341

[ "BSD-3-Clause" ]

null

from .version import get_version VERSION = (2, 0, 0, 'alpha', 0) __version__ = get_version(VERSION) from . import expressions # NOQA

17.125

34

0.715328

19

137

4.842105

0.473684

0.217391

0.369565

0

0.035398

0.175182

137

7

35

19.571429

0.778761

0.029197

0

0.038168

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

3453744af269003ba1ff6c51f62ae2dc4fd7de15

125

py

Python

src/discord/converters.py

ttgc/Discord-Bot-Template

a8f857443b7c26ffac1c043046a0c3a97cba4e72

[ "MIT" ]

null

src/discord/converters.py

ttgc/Discord-Bot-Template

a8f857443b7c26ffac1c043046a0c3a97cba4e72

[ "MIT" ]

null

src/discord/converters.py

ttgc/Discord-Bot-Template

a8f857443b7c26ffac1c043046a0c3a97cba4e72

[ "MIT" ]

null

#!usr/bin/env python3 #-*-coding:utf-8-*- import discord from discord.ext import commands # Define custom converters below

15.625

32

0.752

18

125

5.222222

0.888889

0

0.018349

0.128

125

7

33

17.857143

0.844037

0.552

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

347bc785456b5e9126274daa2b40f0e5cfc86860

94

py

Python

modules/module2/assembly/__init__.py

compas-ITA19/ITA19

c4b10dc183599eed4ed60d922b6ef5922d173bdb

[ "MIT" ]

7

2019-11-13T20:29:54.000Z

2020-02-26T14:30:54.000Z

modules/module2/assembly/__init__.py

GeneKao/ITA19

c4b10dc183599eed4ed60d922b6ef5922d173bdb

[ "MIT" ]

4

2019-11-07T20:57:51.000Z

2020-03-04T11:43:18.000Z

modules/module2/assembly/__init__.py

GeneKao/ITA19

c4b10dc183599eed4ed60d922b6ef5922d173bdb

[ "MIT" ]

6

2019-10-30T13:25:54.000Z

2020-02-14T14:06:09.000Z

from .assembly import Assembly from .element import Element from .artist import AssemblyArtist

31.333333

34

0.851064

12

94

6.666667

0.5

0

0.117021

94

3

34

31.333333

0.963855

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cad8718ebce4e9e9d1e33c040a916592b058da48

290

py

Python

pyviews/rendering/__init__.py

eumis/pyviews

9f3a3a72eddda2bd33bbb16b45d9fa4f9ebfcc0b

[ "MIT" ]

6

2018-02-16T14:37:53.000Z

2020-03-20T13:22:17.000Z

pyviews/rendering/__init__.py

eumis/pyviews

9f3a3a72eddda2bd33bbb16b45d9fa4f9ebfcc0b

[ "MIT" ]

null

pyviews/rendering/__init__.py

eumis/pyviews

9f3a3a72eddda2bd33bbb16b45d9fa4f9ebfcc0b

[ "MIT" ]

1

2019-03-15T12:47:42.000Z

"""Rendering""" from .common import RenderingError, RenderingContext, get_child_context from .common import use_context, get_rendering_context, pass_rendering_context from .pipeline import RenderingPipeline, get_type, get_pipeline, create_instance, render from .setup import use_rendering

41.428571

88

0.848276

36

290

6.527778

0.5

0.085106

0.13617

0

0.089655

290

6

89

48.333333

0.890152

0.031034

0

1

0

true

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

caea61f8f9c0a50055a0b749b7a6c0881e201546

156

py

Python

Portfolio_Strategies/use_fastquant.py

vhn0912/Finance

39cf49d4d778d322537531cee4ce3981cc9951f9

[ "MIT" ]

441

2020-04-22T02:21:19.000Z

2022-03-29T15:00:24.000Z

Portfolio_Strategies/use_fastquant.py

happydasch/Finance

4f6c5ea8f60fb0dc3b965ffb9628df83c2ecef35

[ "MIT" ]

5

2020-07-06T15:19:58.000Z

2021-07-23T18:32:29.000Z

Portfolio_Strategies/use_fastquant.py

happydasch/Finance

4f6c5ea8f60fb0dc3b965ffb9628df83c2ecef35

[ "MIT" ]

111

2020-04-21T11:40:39.000Z

2022-03-20T07:26:17.000Z

from fastquant import backtest, get_stock_data jfc = get_stock_data("JFC", "2018-01-01", "2019-01-01") backtest('smac', jfc, fast_period=15, slow_period=40)

52

55

0.75641

27

156

4.148148

0.62963

0.142857

0.214286

0.267857

0

0.13986

0.083333

156

3

56

52

0.643357

0

0.171975

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

5

1b0b997f209d8d56c7633033c57d161a4baaf4b9

324

py

Python

scipy/signal/sigtools_clr.py

jasonmccampbell/scipy-refactor

52708e04bca51e7043248d56383780b1e51e0d8f

[ "BSD-3-Clause" ]

8

2015-10-07T00:37:32.000Z

2022-01-21T17:02:33.000Z

scipy/signal/sigtools_clr.py

enthought/scipy-refactor

52708e04bca51e7043248d56383780b1e51e0d8f

[ "BSD-3-Clause" ]

null

scipy/signal/sigtools_clr.py

enthought/scipy-refactor

52708e04bca51e7043248d56383780b1e51e0d8f

[ "BSD-3-Clause" ]

8

2015-05-09T14:23:57.000Z

2018-11-15T05:56:00.000Z

import sys if sys.platform == 'cli': import clr clr.AddReference("signal") from scipy__signal__sigtoolsmod import _linear_filter from scipy__signal__sigtoolsmod import _order_filterND, _remez from scipy__signal__sigtoolsmod import _correlateND, _medfilt2d from scipy__signal__sigtoolsmod import *

27

67

0.790123

38

324

6.131579

0.473684

0.154506

0.257511

0.446352

0.549356

0

0.003704

0.166667

324

11

68

29.454545

0.859259

0

0.027864

0

1

0

true

0

0.75

0

0.75

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1b106cb32e2ab6408ff5eedce3be62705cc49aed

1,299

py

Python

App/FlaskErrorHandler.py

ztj1993/config-api

bd6ba6313d9f5710339ebca06ee4b59e3d20dba3

[ "MIT" ]

3

2019-10-24T02:10:18.000Z

2019-10-24T09:07:51.000Z

App/FlaskErrorHandler.py

ztj1993/config-api

bd6ba6313d9f5710339ebca06ee4b59e3d20dba3

[ "MIT" ]

null

App/FlaskErrorHandler.py

ztj1993/config-api

bd6ba6313d9f5710339ebca06ee4b59e3d20dba3

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Intro: 错误处理信息返回模块 # Author: Ztj # Email: ztj1993@gmail.com import yaml.scanner from .Env import * class FlaskErrorHandler: """错误处理对象""" @staticmethod @FlaskApp.errorhandler(404) def error_handler_exception(ex): return str('接口不存在'), 404 @staticmethod @FlaskApp.errorhandler(Excepts.CursorNotExist) def error_handler_exception(ex): return str('游标不存在'), 404 @staticmethod @FlaskApp.errorhandler(Excepts.CursorExisting) def error_handler_exception(ex): return str('游标已经存在'), 404 @staticmethod @FlaskApp.errorhandler(Excepts.KeyNotExist) def error_handler_exception(ex): return str('键不存在'), 404 @staticmethod @FlaskApp.errorhandler(json.decoder.JSONDecodeError) def error_handler_exception(ex): return str('JSON 解析错误'), 500 @staticmethod @FlaskApp.errorhandler(yaml.scanner.ScannerError) def error_handler_exception(ex): return str('YAML 解析错误'), 500 @staticmethod @FlaskApp.errorhandler(yaml.scanner.ScannerError) def error_handler_exception(ex): return str('YAML 解析错误'), 500 @staticmethod @FlaskApp.errorhandler(Excepts.RequestShort) def error_handler_exception(ex): return str('缺失请求参数 %s' % ex), 400

24.509434

56

0.688992

139

1,299

6.323741

0.345324

0.182025

0.29124

0.21843

0.656428

0.513083

0.274175

0

0.030829

0.200924

1,299

52

57

24.980769

0.815992

0.064665

0

0.571429

0

0.046434

0

1

0.228571

false

0

0.057143

0.228571

0.542857

0

null

0

1

0

null

0

1

0

1

0

5

1b5242798feeb05954035857fd59a0f646733be4

123

py

Python

pareidolia/__main__.py

koszullab/pareidolia

d371e1943a2e6064a88e263ebdc72905631d1766

[ "MIT" ]

2

2021-08-04T05:19:38.000Z

2022-02-27T14:59:39.000Z

pareidolia/__main__.py

cmdoret/pareidolia

59a27f37970062454d30469b82c00ebddc87ba08

[ "MIT" ]

5

2021-04-29T04:02:39.000Z

2022-02-25T09:03:35.000Z

pareidolia/__main__.py

koszullab/pareidolia

d371e1943a2e6064a88e263ebdc72905631d1766

[ "MIT" ]

2

2022-02-27T14:59:09.000Z

2022-03-22T09:05:42.000Z

from .cli import pareidolia_cmd if __name__ == "__main__": pareidolia_cmd() # pylint: disable=no-value-for-parameter

24.6

62

0.739837

16

123

5.0625

0.875

0.320988

0

0.146341

123

4

63

30.75

0.771429

0.308943

0

0.096386

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

1b89471924629f5ad4615dd52852f13e4dd0cad8

102

py

Python

nanome/__init__.py

rramji/nanome-lib

2806598af31cfb4bb6e16366f0b300d2ddcc9c13

[ "MIT" ]

null

nanome/__init__.py

rramji/nanome-lib

2806598af31cfb4bb6e16366f0b300d2ddcc9c13

[ "MIT" ]

null

nanome/__init__.py

rramji/nanome-lib

2806598af31cfb4bb6e16366f0b300d2ddcc9c13

[ "MIT" ]

null

__version__ = "0.17.0" from . import * from . import util from . import _internal from .api import *

14.571429

23

0.696078

15

102

4.4

0.533333

0.454545

0

0.04878

0.196078

102

6

24

17

0.756098

0

0.058824

0

1

0

false

0

0.8

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

1b90235402ec9c5fc6170da9b7159c86fcecd527

15

py

Python

hello2.py

DanielSBrown/cs3240-labdemo

0446b8a4fc0969d247317d3caff923348523ab70

[ "MIT" ]

null

hello2.py

DanielSBrown/cs3240-labdemo

0446b8a4fc0969d247317d3caff923348523ab70

[ "MIT" ]

null

hello2.py

DanielSBrown/cs3240-labdemo

0446b8a4fc0969d247317d3caff923348523ab70

[ "MIT" ]

null

print("oh no")

7.5

14

0.6

3

15

3

1

0

0.133333

15

1

15

0.692308

0

0.333333

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

1bb739d52aad56ed2df4c9a3b0575c449e18752b

209

py

Python

watchmen/pipeline/model/trigger_data.py

Indexical-Metrics-Measure-Advisory/watchmen-data-processor

d50b93e92868500552416997707d71720487bd77

[ "MIT" ]

null

watchmen/pipeline/model/trigger_data.py

Indexical-Metrics-Measure-Advisory/watchmen-data-processor

d50b93e92868500552416997707d71720487bd77

[ "MIT" ]

null

watchmen/pipeline/model/trigger_data.py

Indexical-Metrics-Measure-Advisory/watchmen-data-processor

d50b93e92868500552416997707d71720487bd77

[ "MIT" ]

null

from pydantic import BaseModel from watchmen.pipeline.model.trigger_type import TriggerType class TriggerData(BaseModel): topicName: str = None triggerType: TriggerType = None data: dict = None

20.9

60

0.76555

24

209

6.625

0.708333

0

0.177033

209

9

61

23.222222

0.924419

0

1

0

true

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1bbd0cbf6d0cd5d0ec8ce2ef88934a8a05110149

51

py

Python

src/ground/drainbow_mcc/src/drainbow_mcc/wsgi.py

granum-space/cansat-2017-2018

4d9db6f2d55c726e11abbb60fd436ec3eafc2373

[ "MIT" ]

null

src/ground/drainbow_mcc/src/drainbow_mcc/wsgi.py

granum-space/cansat-2017-2018

4d9db6f2d55c726e11abbb60fd436ec3eafc2373

[ "MIT" ]

9

2017-10-31T19:20:05.000Z

2018-06-17T19:08:52.000Z

src/ground/drainbow_mcc/src/drainbow_mcc/wsgi.py

granum-space/cansat-2018

4d9db6f2d55c726e11abbb60fd436ec3eafc2373

[ "MIT" ]

1

2018-06-12T11:30:10.000Z

from drainbow_mcc.webapp import app as application

25.5

50

0.862745

8

51

5.375

1

0

0.117647

51

1

51

0.955556

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1bc79060f9680f7344010e88b323cecffd86391c

172

py

Python

main/views/__init__.py

SentF/henix

960636f4ffa053ef26016a37bd895801ce47c099

[ "Unlicense" ]

null

main/views/__init__.py

SentF/henix

960636f4ffa053ef26016a37bd895801ce47c099

[ "Unlicense" ]

null

main/views/__init__.py

SentF/henix

960636f4ffa053ef26016a37bd895801ce47c099

[ "Unlicense" ]

null

from django.contrib import admin admin.site.site_header = "Henix administration" admin.site.site_title = "Henix administration" admin.site.index_title = "Henix site apps"

28.666667

47

0.802326

24

172

5.625

0.5

0.2

0.192593

0.414815

0

0.104651

172

5

48

34.4

0.876623

0

0.319767

0

1

0

true

0

0.25

0

0.25

0

1

0

null

0

1

0

1

0

null

0

1

0

5

1bcb8331c9bd31668f9e269cfeff07e3663f78bb

287

py

Python

molecule/resources/tests/zsh-user_pyenv_root.py

hurricanehrndz/ansible-pyenv

fd1db76d1baf98ba70d801725097a752071fcda3

[ "MIT" ]

null

molecule/resources/tests/zsh-user_pyenv_root.py

hurricanehrndz/ansible-pyenv

fd1db76d1baf98ba70d801725097a752071fcda3

[ "MIT" ]

null

molecule/resources/tests/zsh-user_pyenv_root.py

hurricanehrndz/ansible-pyenv

fd1db76d1baf98ba70d801725097a752071fcda3

[ "MIT" ]

null

def get_pyenv_root(): return "/home/test/.pyenv" def get_user(): return "test" def get_group(): return "test" def get_rc_file(): return "/home/test/.zshrc" def get_python_test_case(): return "3.9.0", True def get_venv_test_case(): return "neovim", True

12.478261

30

0.644599

44

287

3.931818

0.454545

0.208092

0.16185

0.184971

0

0.013216

0.209059

287

22

31

13.045455

0.748899

0

0.166667

0

0.184669

0

1

0.5

true

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

5

1bd36aa47f286658201b53d831c2be38487ebde8

22

py

Python

tracker/__init__.py

saraivaufc/PySpy

711a14da559c0315335eaf843f6d2a68daf9acbf

[ "MIT" ]

null

tracker/__init__.py

saraivaufc/PySpy

711a14da559c0315335eaf843f6d2a68daf9acbf

[ "MIT" ]

null

tracker/__init__.py

saraivaufc/PySpy

711a14da559c0315335eaf843f6d2a68daf9acbf

[ "MIT" ]

null

from .tracker import *

22

0.772727

3

22

5.666667

1

0

0.136364

22

1

22

0.894737

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

946df3c94edb3486063c7b7ee0e1c4f67bb7bec7

125

py

Python

{{cookiecutter.project_name}}/tests/system/__init__.py

jacebrowning/template-django

bc284d7f7df0c3ff897fc5312cbcaf8396cdce5d

[ "Unlicense" ]

8

2018-03-23T10:15:35.000Z

2021-03-23T18:41:04.000Z

tests/system/__init__.py

code-for-good-wm/rooseveltparkna-alerts

bb22150141dd9448004a04df66d9ce0f353a3c10

[ "MIT" ]

58

2016-01-29T13:17:02.000Z

2020-12-30T01:28:01.000Z

tests/system/__init__.py

jacebrowning/coverage-space

91038915457344114e981b86a167d4316756a0cf

[ "MIT" ]

1

2021-03-23T18:41:22.000Z

import expecter def has_text(browser, text): return browser.is_text_present(text) expecter.add_expectation(has_text)

13.888889

40

0.792

18

125

5.222222

0.611111

0.148936

0

0.128

125

8

41

15.625

0.862385

0

1

0.25

false

0

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

84946fd2828fe582b6a0aa5e10315aa5341c65df

98

py

Python

bluez/__init__.py

c-thaler/opat

b7cb40572c8566e2791d2c7c54c55c4504de311f

[ "MIT" ]

3

2021-09-03T10:21:39.000Z

2021-12-17T22:42:56.000Z

bluez/__init__.py

c-thaler/opat

b7cb40572c8566e2791d2c7c54c55c4504de311f

[ "MIT" ]

2

2021-06-23T09:19:59.000Z

2021-11-19T21:02:39.000Z

bluez/__init__.py

c-thaler/opat

b7cb40572c8566e2791d2c7c54c55c4504de311f

[ "MIT" ]

null

from .adapter import Adapter from .characteristic import Characteristic from .device import Device

32.666667

42

0.857143

12

98

7

0.416667

0

0.112245

98

3

43

32.666667

0.965517

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ca4ddc8138b1c01d49371224ae7173ef5959c937

87

py

Python

tccli/services/live/__init__.py

ivandksun/tencentcloud-cli-intl-en

41b84e339918961b8bc92f7498e56347d21e16d3

[ "Apache-2.0" ]

47

2018-05-31T11:26:25.000Z

2022-03-08T02:12:45.000Z

tccli/services/live/__init__.py

ivandksun/tencentcloud-cli-intl-en

41b84e339918961b8bc92f7498e56347d21e16d3

[ "Apache-2.0" ]

23

2018-06-14T10:46:30.000Z

2022-02-28T02:53:09.000Z

tccli/services/live/__init__.py

ivandksun/tencentcloud-cli-intl-en

41b84e339918961b8bc92f7498e56347d21e16d3

[ "Apache-2.0" ]

22

2018-10-22T09:49:45.000Z

2022-03-30T08:06:04.000Z

# -*- coding: utf-8 -*- from tccli.services.live.live_client import action_caller

21.75

57

0.701149

12

87

4.916667

0.916667

0

0.013699

0.16092

87

4

58

21.75

0.794521

0.241379

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0477d9333d4666277b06b77c728211c16aec3b71

37

py

Python

bindings/python/robotoc/impulse/__init__.py

mcx/robotoc

4a1d2f522ecc8f9aa8dea17330b97148a2085270

[ "BSD-3-Clause" ]

58

2021-11-11T09:47:02.000Z

2022-03-27T20:13:08.000Z

bindings/python/robotoc/impulse/__init__.py

mcx/robotoc

4a1d2f522ecc8f9aa8dea17330b97148a2085270

[ "BSD-3-Clause" ]

30

2021-10-30T10:31:38.000Z

2022-03-28T14:12:08.000Z

bindings/python/robotoc/impulse/__init__.py

mcx/robotoc

4a1d2f522ecc8f9aa8dea17330b97148a2085270

[ "BSD-3-Clause" ]

12

2021-11-17T10:59:20.000Z

2022-03-18T07:34:02.000Z

from .impulse_split_solution import *

37

0.864865

5

37

6

1

0

0.081081

37

1

37

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

04a5847dc68c1315194fcc271555d9ba85a2e3c8

868

py

Python

legacy/dx/simulator/simulator_diagnoser/graph/abstract_graph.py

GaloisInc/adapt

2ccff778d3e77505899266572f8f7caacb5b630f

[ "BSD-3-Clause" ]

2

2020-04-09T13:04:25.000Z

2021-09-24T14:17:26.000Z

legacy/dx/simulator/simulator_diagnoser/graph/abstract_graph.py

GaloisInc/adapt

2ccff778d3e77505899266572f8f7caacb5b630f

[ "BSD-3-Clause" ]

null

legacy/dx/simulator/simulator_diagnoser/graph/abstract_graph.py

GaloisInc/adapt

2ccff778d3e77505899266572f8f7caacb5b630f

[ "BSD-3-Clause" ]

3

2019-09-20T20:49:54.000Z

2021-09-02T17:33:47.000Z

import abc class AbstractGraph(metaclass=abc.ABCMeta): @abc.abstractmethod def starting_nodes(self): pass @abc.abstractmethod def get_node_parents(self, node, explored_edges=set()): pass @abc.abstractmethod def get_node_children(self, node, explored_edges=set()): pass @abc.abstractmethod def get_node_labels(self, node): pass @abc.abstractmethod def get_node_anomaly_score(self, node): pass @abc.abstractmethod def get_node_matcher_state(self, node): pass @abc.abstractmethod def set_node_matcher_state(self, node, state): pass @abc.abstractmethod def clear_matcher_states(self): pass @abc.abstractmethod def store_diagnoses(self, path): pass @abc.abstractmethod def clear_diagnoses(self): pass

19.288889

60

0.657834

101

868

5.435644

0.287129

0.309654

0.364299

0.393443

0.686703

0.457195

0.342441

0.200364

0

0.260369

868

44

61

19.727273

0.85514

0

0.625

0

1

0.3125

false

0.3125

0.03125

0

0.375

0

null

1

0

null

0

1

0

1

0

5

04ee9630b5c5617549260d51c515c1e5106ac528

98

py

Python

causal_networkx/discovery/ges.py

adam2392/causal-networkx

aba5355d2e900b30dd3d99916981674f3c0074e9

[ "BSD-3-Clause" ]

null

causal_networkx/discovery/ges.py

adam2392/causal-networkx

aba5355d2e900b30dd3d99916981674f3c0074e9

[ "BSD-3-Clause" ]

null

causal_networkx/discovery/ges.py

adam2392/causal-networkx

aba5355d2e900b30dd3d99916981674f3c0074e9

[ "BSD-3-Clause" ]

null

# see: https://github.com/juangamella/ges class GES: def __init__(self) -> None: pass

19.6

41

0.632653

13

98

4.461538

0.923077

0

0.22449

98

4

42

24.5

0.763158

0.397959

0

1

0.333333

false

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b6e6e21ae6b6f0831557088b409d42cfc5745c79

125

py

Python

_transonic_testing/for_test_exterior_import_jit_2.py

fluiddyn/transonic

a460e9f6d1139f79b668cb3306d1e8a7e190b72d

[ "BSD-3-Clause" ]

88

2019-01-08T16:39:08.000Z

2022-02-06T14:19:23.000Z

_transonic_testing/for_test_exterior_import_jit_2.py

fluiddyn/transonic

a460e9f6d1139f79b668cb3306d1e8a7e190b72d

[ "BSD-3-Clause" ]

13

2019-06-20T15:53:10.000Z

2021-02-09T11:03:29.000Z

data_tests/exterior_import_boost_2.py

fluiddyn/transonic

a460e9f6d1139f79b668cb3306d1e8a7e190b72d

[ "BSD-3-Clause" ]

1

2019-11-05T03:03:14.000Z

import gast import numpy as np const = 1 foo = 1 def func_import_2(): return const def use_gast(): print(gast)

8.333333

20

0.656

21

125

3.761905

0.666667

0

0.032609

0.264

125

14

21

8.928571

0.826087

0

1

0.25

false

0

0.375

0.125

0.75

0.125

1

0

null

0

null

0

1

0

1

0

5

b6ec34b99cbdef78acfb2900eab03fd78f70416d

266

py

Python

configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveV3_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_AggressiveV3_Flat_Pbr_12_21BleachCleanser.py

THU-DA-6D-Pose-Group/self6dpp

c267cfa55e440e212136a5e9940598720fa21d16

[ "Apache-2.0" ]

33

2021-12-15T07:11:47.000Z

2022-03-29T08:58:32.000Z

configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveV3_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_AggressiveV3_Flat_Pbr_12_21BleachCleanser.py

THU-DA-6D-Pose-Group/self6dpp

c267cfa55e440e212136a5e9940598720fa21d16

[ "Apache-2.0" ]

3

2021-12-15T11:39:54.000Z

2022-03-29T07:24:23.000Z

configs/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveV3_Flat_ycbvPbr_SO/FlowNet512_1.5AugCosyAAEGray_AggressiveV3_Flat_Pbr_12_21BleachCleanser.py

THU-DA-6D-Pose-Group/self6dpp

c267cfa55e440e212136a5e9940598720fa21d16

[ "Apache-2.0" ]

null

_base_ = "./FlowNet512_1.5AugCosyAAEGray_AggressiveV3_Flat_Pbr_01_02MasterChefCan.py" OUTPUT_DIR = "output/deepim/ycbvPbrSO/FlowNet512_1.5AugCosyAAEGray_AggressiveV3_Flat_ycbvPbr_SO/12_21BleachCleanser" DATASETS = dict(TRAIN=("ycbv_021_bleach_cleanser_train_pbr",))

66.5

116

0.87594

33

266

6.454545

0.757576

0.103286

0.244131

0.356808

0.394366

0

0.089494

0.033835

266

3

117

88.666667

0.7393

0

0.785714

0

1

0

false

0

null

0

1

0

1

0

1

null

0

5

8e1509332912ec3dbee3a6cb73c2e46e35b1eec6

57

py

Python

libmuscle/python/libmuscle/test/test_test.py

DongweiYe/muscle3

0c2fcf5f62995b8639fc84ce1b983c8a8e6248d0

[ "Apache-2.0" ]

11

2018-03-12T10:43:46.000Z

2020-06-01T10:58:56.000Z

libmuscle/python/libmuscle/test/test_test.py

DongweiYe/muscle3

0c2fcf5f62995b8639fc84ce1b983c8a8e6248d0

[ "Apache-2.0" ]

85

2018-03-03T15:10:56.000Z

2022-03-18T14:05:14.000Z

libmuscle/python/libmuscle/test/test_test.py

DongweiYe/muscle3

0c2fcf5f62995b8639fc84ce1b983c8a8e6248d0

[ "Apache-2.0" ]

6

2018-03-12T10:47:11.000Z

2022-02-03T13:44:07.000Z

def test_test() -> None: """Test the test system."""

19

31

0.578947

8

57

4

0.625

0

0.210526

57

2

32

28.5

0.711111

0.368421

0

1

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8e1e14a1290a5e236126f552b0f0964b360dbe6d

220

py

Python

skycalc_ipy/__init__.py

enigma-igm/skycalc_ipy

08fc3eef47c045eb451dc62e9bb3af541b810e45

[ "MIT" ]

null

skycalc_ipy/__init__.py

enigma-igm/skycalc_ipy

08fc3eef47c045eb451dc62e9bb3af541b810e45

[ "MIT" ]

null

skycalc_ipy/__init__.py

enigma-igm/skycalc_ipy

08fc3eef47c045eb451dc62e9bb3af541b810e45

[ "MIT" ]

null

import warnings as _warnings from astropy.utils.exceptions import AstropyWarning as _AstropyWarning _warnings.simplefilter('ignore', category=_AstropyWarning) from . import ui from . import core from .ui import SkyCalc

27.5

70

0.831818

27

220

6.62963

0.518519

0.111732

0

0.113636

220

8

71

27.5

0.917949

0

0.027149

0

1

0

true

0

0.833333

0

0.833333

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f3e8f55100b88feef49953a65c739e9a0640f387

217

py

Python

baseCSS/views.py

mileeme/simple

49f095e2e57ff4bc3091e815616e47b9e62c1fdd

[ "MIT" ]

null

baseCSS/views.py

mileeme/simple

49f095e2e57ff4bc3091e815616e47b9e62c1fdd

[ "MIT" ]

5

2021-03-30T13:49:04.000Z

2021-09-22T19:22:25.000Z

baseCSS/views.py

mileeme/starter

49f095e2e57ff4bc3091e815616e47b9e62c1fdd

[ "MIT" ]

null

from django.shortcuts import render, get_object_or_404 from django.urls import reverse def index(request): template_name = 'baseCSS/index.html' context = {} return render(request, template_name, context)

27.125

54

0.760369

29

217

5.517241

0.689655

0.125

0.2375

0

0.016393

0.156682

217

7

55

31

0.857924

0

0.082949

0

1

0.166667

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

6d1f0c626bdcbc5c38162583ec967836ea211923

696

py

Python

src/avame/requests.py

nickchen-mitac/fork

64dab56012da47465b4923f30f26925476c87afc

[ "Apache-2.0" ]

null

src/avame/requests.py

nickchen-mitac/fork

64dab56012da47465b4923f30f26925476c87afc

[ "Apache-2.0" ]

null

src/avame/requests.py

nickchen-mitac/fork

64dab56012da47465b4923f30f26925476c87afc

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function, unicode_literals from ava.task import action import requests @action def head(url, **kwargs): return requests.head(url, **kwargs) @action def get(url, params=None, **kwargs): return requests.get(url, params, **kwargs) @action def post(url, data=None, json=None, **kwargs): return requests.post(url, data, json, **kwargs) @action def put(url, data=None, **kwargs): return requests.put(url, data, **kwargs) @action def patch(url, data=None, **kwargs): return requests.patch(url, data, **kwargs) @action def delete(url, **kwargs): return requests.delete(url, **kwargs)

17.846154

82

0.689655

95

696

4.978947

0.315789

0.114165

0.2537

0.20296

0.224101

0.131078

0

0.001706

0.158046

696

38

83

18.315789

0.805461

0.030172

0

0.285714

0

1

0.285714

false

0

0.142857

0.285714

0.714286

0.047619

0

null

0

1

0

null

0

1

0

1

0

5

6d52b9a86565b73b812953bb991ab68d887a64b7

2,172

py

Python

notes.py

dhandy2013/wake-fire-planning

7fc3d3b764ad52cf443ee78b2a2810e85cfa6441

[ "BSD-2-Clause" ]

null

notes.py

dhandy2013/wake-fire-planning

7fc3d3b764ad52cf443ee78b2a2810e85cfa6441

[ "BSD-2-Clause" ]

3

2020-03-24T16:48:51.000Z

2020-06-24T01:57:17.000Z

notes.py

dhandy2013/wake-fire-planning

7fc3d3b764ad52cf443ee78b2a2810e85cfa6441

[ "BSD-2-Clause" ]

null

# Really helpful pandas cheat sheet: # https://towardsdatascience.com/pandas-equivalent-of-10-useful-sql-queries-f79428e60bd9 # How to plot histograms: # https://matplotlib.org/3.1.3/gallery/statistics/hist.html # # Code snippets # %matplotlib notebook def graph_dispatches_for_dept_by_month(dept_name): return graph_dispatches_by_month(dept_name, df['Department'] == dept_name) def graph_dispatches_by_month(name, filter_result): events = df[ filter_result ] d = pd.DataFrame({f"{name} Dispatches": events.index}, index=events['Dispatch Time']) events_monthly = d.groupby(pd.Grouper(freq='M')).count() return events_monthly.plot(title=f"{name} Dispatches by Month") from datetime import datetime name = dept_name = "Fairview Fire" events = df events = events[ events['Department'] == dept_name ] events = events[ events['Dispatch Time'] >= datetime(2015, 7, 1) ] events = events[ events['Dispatch Time'] < datetime(2016, 7, 1) ] d = pd.DataFrame({f"{name} Dispatches": events.index}, index=events['Dispatch Time']) events_monthly = d.groupby(pd.Grouper(freq='W')).count() p = events_monthly.plot(title=f"{name} Dispatches by Week") from datetime import datetime name = dept_name = "Fairview Fire" events = df events = events[ events['Department'] == dept_name ] events = events[ events['Dispatch Time'] >= datetime(2016, 1, 1) ] events = events[ events['Dispatch Time'] < datetime(2016, 3, 1) ] d = pd.DataFrame({f"{name} Dispatches": events.index}, index=events['Dispatch Time']) events_monthly = d.groupby(pd.Grouper(freq='D')).count() p = events_monthly.plot(title=f"{name} Dispatches by Day") from datetime import datetime name = dept_name = "Fairview Fire" events = df events = events[ events['Department'] == dept_name ] events = events[ events['Dispatch Time'] >= datetime(2016, 1, 20) ] events = events[ events['Dispatch Time'] < datetime(2016, 1, 26) ] d = pd.DataFrame({f"{name} Dispatches": events.index}, index=events['Dispatch Time']) events_monthly = d.groupby(pd.Grouper(freq='H')).count() p = events_monthly.plot(title=f"{name} Dispatches by Hour")

35.606557

88

0.698895

295

2,172

5.044068

0.250847

0.145161

0.120968

0.104839

0.733199

0.620296

0

0.027627

0.150092

2,172

60

89

36.2

0.77844

0.099908

0

0.512821

0

0.195686

0

null

0

0.076923

null

0

null

0

1

0

1

0

null

0

1

0

5

6d5fdec9b862f424bed2b3ae220eeffc1287ef98

52,442

py

Python

src/long.py

kinow/rosalind-exercises

5984f10226e41a3fffbc7f947e397b0cd84ea5cf

[ "Unlicense" ]

null

src/long.py

kinow/rosalind-exercises

5984f10226e41a3fffbc7f947e397b0cd84ea5cf

[ "Unlicense" ]

null

src/long.py

kinow/rosalind-exercises

5984f10226e41a3fffbc7f947e397b0cd84ea5cf

[ "Unlicense" ]

null

# learned with: https://github.com/jschendel/Rosalind/blob/a42aec2404c00f0d18d09022956ff266d5fd7746/025_LONG.py from fasta.Fasta import read_fasta def assembly_seqs(seqs_list): longest_seq = -1 for prefix_index in xrange(len(seqs_list)): for suffix_index in [num for num in xrange(len(seqs_list)) if num != prefix_index]: prefix, suffix = seqs_list[prefix_index], seqs_list[suffix_index] i = 0 p = prefix while (i < len(prefix)): p = prefix[i:] # ABC -> BC s = suffix[0:len(p)] # ABC -> AB if (p == s): if (len(prefix) - i > longest_seq): #print str(p), 'is equal to', str(s), 'p:', prefix, 's:', suffix longest_seq = len(prefix) - i results = [prefix_index, suffix_index] i += 1 return [seqs_list[x] for x in range(len(seqs_list)) if x not in results] + [seqs_list[results[0]] + seqs_list[results[1]][longest_seq:]] if __name__ == '__main__': raw_data = ''' >Rosalind_6690 ACAAAATATAATGATTGTCTAACAGTGGAGATACTTGCTTCTGAATTCTGTTTGCGTGCG TCATAAGCAGGGTGATTTCTGTCTTCCTTCGCGTTATAGGCGTAATGTTTTGATACCCGG CACCACAAATCAGGAGCTTGGGCTGCCTACCTGAGTAACGGGGTCGGCGCAACTACAGCG GGTTTTAGTAGGAGGACGAACTGGACTCCGAGCTCATCTTGCTGTTCTTGTCTCGGTTCT CCATAAGGTGATAGTTCCTGTGGACCAAGTCTGTGGAGTGCAGGCCCAACCCGCCCGGGT AAACCGGAGTCTTATTCATCCAGAGCCGGAAGTAGGTACTAAGATGACCATTAGAATCTG TCTCATCGAGTTGCGATAACGTAGATGCTAATATCGTTCTCAACATGGAGGGGTCTAATG GAACGAGTGATATGGGCTCGTGTTTCGGCAACGTGTTCAGAGATTCTGAATTTCTTCCCA GGTCCACGCGCTCGTTCAGGGCGATCCCCCCCAACATTGGGGGCTGGTCGGCGGTACAAA ATGGTACTAACCGCTTGCGGGAATAGGTTTCTTCCAGCGCGGGGTCACATCTACATTATG ACATGCGATGTATTTGAAGTACTCAGAGATGGCGCCATTCCACGAGCGGATAACGTGAGC AACGTCATTAAAAGCAGAGCACTGACGCCATAACGCGTCTTTTAGAGGTGCCCAGCTGAG GACTTTCGGGCACTAGAACAAGTCGTACAGTCCCACACGTGTTCGATAGTTCGAGCCTGT GCGCCCCCATGCAACCCCTCTTGAACCTAATCGAATCGATGTTGTCGTGCAGTATCGGCT TTCGGCAGGGTGTACGCTATCCGTCCGAGCTCGTGTACATAGATCGCACTGGTGAGTAGC ATGTTTCTAGTCTACCGATCACATAGTAGAAGCTGGGCGCCAGCTCAACCAACAGATCGT ATATACACAGAAGACAAAGTAATGACTGAGAGTGCATGGT >Rosalind_2972 GCAAATGCTTGTGATTGGGGGTACTGTATTAGCGCCGGGTCGGCAGGGATGAAATCCGGG GGGCTTTCTCTGTTTGGTCTAGGCGAGGTAATATTACGACCGAAAGGTGAACTTCGACGA GATCCTGGATCAATGAGCACCAGATGTTTCGCCCCTAGCATTGCACGCGTCAATCATTGT CGAGCGCTTCCTGCAGCCCGAGTATGCGACTCTCAGTCTCGTGTAACATCCGGGCTCAGT CCTAGCACCAGGATTATACTCCGATGAGACGCCCAACATTGAAGGGGAATCGGCATTGGC CCGACGACGGAATTCACCTACATACAATATTTGATTCATCGCCTCCGTTAGGCACATCAT AGGCTTAGATACTTGGGCCTGAGTGTCAGACCGAGGTCCGCAATCGTCGGATGTGCCTTG CCCGTATTAATCCTTTCGGGACTCTCCCCGCTTCTAGAAAAAGCATTCGAAAACCAGGGC TCCTTTTATGTTCACCCCTTGCGGGTCAAAGGTGGAACAAGCTGCTAGGACCTTTTCGTA CAGGGAAACTAGTAGTGCTGCAGGCACTGTTGTTATCGTTGAGGGTCGCATTAGTGAGAC GGGGCGGTAGGGGCCGCTTCGCGGTGGATGTGATGGTACATCACGCTCCTTATGCGGTCA GGGCTAGAAGCCGACTTCGCGGGATTTACTTATTGGAATCCAACCATGCATAATACAGAG TGTACGGCACTAAACACGTTGGGAACTCTGTTGGTTGATGCTATCTTTGGCACCTACGTG GCGGGAAGAAATTCAGAAGGGATCTAGGACACGGTGTACAGCGTGAACCCGCTCGACGGT GCGGATATATGATCTATTGCGGAGAATGCCTGCCAAACTCGCCCCGCCGTTTTGTCGAGG CTTTTACCTTAGAGGTGTCGGAAGTTGCTCGGAAGTTAGCGTTTGTTTATTTAGTAACCC ATAACTTAACTGTTAGTTAGCGAGAGGGAGTCGAAGC >Rosalind_7774 AAAACGCCCCGATTGCTGTCGCGGTGACCTACTTCTTAAATCCCCGCTATAGAGATATTG TTTTCAATTCGAACCCTTACTATGAGACCCTGTCAGATCAATTCGGACAGTCATCTCGGT ACAACAGAAGGGAGAACCTCCAAAGCTCACCAAGCATTCGATAACAGGAGTCTACGAAGG ATTTGCACACTTGGGCCAAATCCGGAGCAGTAAGGTGTCGATCCGCATCTACGCGTGTTG AAGCGGATCCTCGACCGTTAACCCACGGCCGCTTCGTTAGTCGATCCTCATGAAGAGATT GATACGCGCTGAATGCCGTGCTAGTCCGTCTGAGAGGCACGAATTAACAACCCTTTTTAC GTATGGGCTCGCGGTAGCTTGTCTTAAACCTGATCCGACCTCTCATTGAGGAAGCTCAAC TTTGAATGCGTGACGAGCTTGTCAACTCACCAAACTACTGAGGAGGTCTATAGTCTGGAC TGGCGATGGCTTTACCTGAACAAGCTGCCGGGAGTGGCCGGCTGAAACTATGCCCTCCAT GTATGGATGTTAGTAGGCTAAACTCATTTCCGCCGGAAGGTTAGCCGAACCTGCTCTGAC CAAGGCTTAAGAGGGTGCTACCCGTGTCCAGCTCAGACCCCGGGGTAGCGCGCCCGCCCG AGCCGCCGGGGTGCTGAGTAGTTATTAGTTTTGCCCGCCGTGTCAAGGGGTCGTGACTTA GGCATCCGTTCAGAATGAATAGTATAATTGGGAAGCCCCGGCGCAAACGGCTTCAGTTCG GGCCCGAGATACGTACTCCGAGGTGATTGCTTCTGCATAGGACTTACTTATTCATTGACA CACCGTTTATGGACCCCGCGGAGAGGGTGGCATTAAGAGAGAACGATTTCCCCTATTTCT GAAATTCACCGTACTCCCCGGAAGCTTGGTGTGACGGCCAGCGTTCTCCTGAAACCATTC GCAGCGTGCAGGGTATCCTGTTGCCCAACATAAGCAGA >Rosalind_9421 GTTATCGGACGTAATTTAAGAGTCGCTAGTGCGCGATTTGCTTCCATGGTGACGACCTCA CCCCATCTAGTCGCTTGGCGCGAGCTTCTTTACTCTCTACTCCTCATTAACGGTGGGAGA GCTGGGGGTAAGAGAACTACTGCAGCTACATTAACTTCCATACTCAATCTGGCCCTTTAC CTACAGGAAGCGTTAGAGGATGTCATGAGCGTGGATTGTGCCCTTCGATTTAGGACAGCC ATTGAGGGTCTGCTTCCCCAGCATCTTTTACACGCGGGGCCGCGAGGTATATCCTTATAA TCCACACTCTACCGCTCTCTTGCCTCCGTGCGGGCTGCGAGCGTGTCGTCCAGACGTCAC GCGTCCACAAGCTCGCTACTTTGAAAAGCCGTTTCCCTGCACGGGTAGGGCATATAACAG TGCGACTACTGGTCTGGTTACCAGAATCTCGCACCACTCTCCATCGTATTTAACCGTAGT CCAGTAACATAAACTGATCTCTCGAATTCCGACCTCTGCGAATGGACGCCAGAGTCTTTT GGCATTGAGTTTGCTTTTTATCCTCTACGCTGCAGTTGGATGGCGATACAGAGGTTCCAC GTCGATCCGGGCCATTAATAAATGACTCCCAATGGCTCACAAAACCGTTGTCGCACATAA AAATGCTTTGACGGCGTGCGTATCTGTGTTGCCTGTAACGACCATCGGGAATTTTATCAG CAACGCTCTTCCCAGCTATCGACCGAACCCTTGTAATCGTATGTCCTCGCACGCATGGTG CCATGTCTCCTAACCGTATTAAATTTACTGCGGTCGATTTAGCGAGCCATAACAATGGCT ATTGTGAGCACATTACTATTGGCGATGTCCCACACAGGACCGTAAACCACTTTATTCCCG TGCCTGAAGTAACGTCATCCGATTTAAAGGGGAAGGGTATCGACCACGATCCTGGCCTTG CGTGGACTTTAAATTTCGTATGTG >Rosalind_8077 TGTCTCCTAACCGTATTAAATTTACTGCGGTCGATTTAGCGAGCCATAACAATGGCTATT GTGAGCACATTACTATTGGCGATGTCCCACACAGGACCGTAAACCACTTTATTCCCGTGC CTGAAGTAACGTCATCCGATTTAAAGGGGAAGGGTATCGACCACGATCCTGGCCTTGCGT GGACTTTAAATTTCGTATGTGGTTTGTTCTAAAGTTGTCCTAGGCTCTGGCACATATATC TCAGTTATTGCCACACGTCGCTAGCGGGATGGCGTGTCGGCGGAAGATAGAAAAATCTGC TACTAAACTGGAAGGTATGAAGGTGCACTATTTGCTGGTAGGTAATGGCGAAGGACTTGG CAAATGCTTGTGATTGGGGGTACTGTATTAGCGCCGGGTCGGCAGGGATGAAATCCGGGG GGCTTTCTCTGTTTGGTCTAGGCGAGGTAATATTACGACCGAAAGGTGAACTTCGACGAG ATCCTGGATCAATGAGCACCAGATGTTTCGCCCCTAGCATTGCACGCGTCAATCATTGTC GAGCGCTTCCTGCAGCCCGAGTATGCGACTCTCAGTCTCGTGTAACATCCGGGCTCAGTC CTAGCACCAGGATTATACTCCGATGAGACGCCCAACATTGAAGGGGAATCGGCATTGGCC CGACGACGGAATTCACCTACATACAATATTTGATTCATCGCCTCCGTTAGGCACATCATA GGCTTAGATACTTGGGCCTGAGTGTCAGACCGAGGTCCGCAATCGTCGGATGTGCCTTGC CCGTATTAATCCTTTCGGGACTCTCCCCGCTTCTAGAAAAAGCATTCGAAAACCAGGGCT CCTTTTATGTTCACCCCTTGCGGGTCAAAGGTGGAACAAGCTGCTAGGACCTTTTCGTAC AGGGAAACTAGTAGTGCTGCAGGCACTGTTGTTATCGTTGAGGGTCGCATTAGTGAGACG GGGCGGTAGGGGCCGCTTCGCGGTGGATGT >Rosalind_0759 GACGATGCAGCTTCCAGGAGCTTTTGTCACTTAGGCCACCCCATGCTATGCACCATTACA GGGCGAAGATACAGCTACGTCCCGGGAAATGAAGTGTTCTCGCGGCGCCGCTATAGAGAA CAACCTCCAGGCTGCTATGTGGTGCAGACTCCGCATCGAACAGTACGCGTCATAAGTGAG TTGACGACGATGCTTAAGCACCTACTCCTGGTAGACTTTAGCGCTCCACTCTTCATGTAT TTCGCCAAATCACATATGGGGGGTTAAGCATAATAAGAACTGTCGCTCCGCTCTCAAATG AGTATCCCCCGAAGGGCCTTGATTTTTTATCAGGACGTCGGGTCGTTCACCTATGCCCAT AAGGCCATTGGGGGGTTACGTCCACAGGACCTCTCTTTCCCCAATGATAATATGGCTATG GAACGGAGAGTTTGAAGCAGTGTGTAGGGGGTCCCGTCCCCACTGGACCTACAGGCTTAC GTATTATCGTTACTGCTAATTCGCGATTGTGACGATTTCCTGTCACGTGGATGCCCGGGC ACCCGAGCCCGTGGTTAAACTCTAGACGGCACTGAGACTGTCGTCCCGGGGCGGCTAAAC GACCTGGGTCGCGCGCGATTGCAATTCCCACCCTGGAGCAAACACTTGGCACGCTGTTAT TAACATGACGGACCTCGTGTAAAGTTTTTGCTTTCGACGGCGGATGATCCCAAAACGAGA AATTAGTGTAGCGGGTGCAAAAGCCTACCGGATCTAACACTGTGGCTAGGGTCCGTCTGT TGCCAGCGGTTATACTTGGGCGGCACGAGATTGACGGCTATAGGACGGATAGATTTAGTG TCCTAAGTCGTATGCGCATCCAAGCGGTCCTTGTAGAGAGACGATATGGCCCAATGCGCA ACAACGGCCTTCAGCAAGCTCCATAGCATACCGACGAATTTCGTCAAACATTACTTCCTC CTAGAGACACCATCCAGCGGACC >Rosalind_9606 GTGTCTCCCCGCAGAGGAGAGATGAATCCGCGGCAAGTCTTAAACCTCACAGCATGAGTG TCTGGACCCCAAGGGGAACTCAACCGAGTACCCCCGTAGCTCCGTATCACGCCGGCATAC AGCAGAGAACCCGCATGGTTTACCAAGTCCACCTGATTACGACGCTATATACCATTCTTC ATAGCGCGAAGGGGTGACGGGGTACCTCCTTGACACTCCACTGACATGAGGCTAGCGGGT GATGTGCGATAGATGGACCCCTTTGCCCACCAGATAACCAAAGCGTCCCGCGTCCAATTA GGTGCCCCACATATGGCCTGATTTTCATCCTTCATACACTCGTCACAGAGCCGACAAATA ATGCACTAAAGTGACTGTTAATAACAGGCAACATCAGTCCTGCAGGCCTATAGTTGCATT AGCGAATATGATCTCAGTGCATGAGTTCGCCAGGGTGGACGTCTAAGACATCCCGCGGGG ATCGGAATAAATTTATAGATATCGAGGTCGTTGCCTGAACAACTATGACTGCAGGGTCTA GAGCCGAAACGCTAATTCGCCCAATACAGGTGAAGGGAATCGCGCCTAATCTTATCTAAC GGACATCCCTTCGAACACATCTTAGGAGGCCTACCGCGTTATAGAAGTACAGTAGAGTGC AATGCTGGGTCTTGCGATATGAACCATCAACAACCGCGGAGTCGAAGAAGTGCCGAACTG GAGAGGAGGCTTTTTCTTTCTCACACATGAGCGTTGTACTGATAGGAACCGGCGGAAGCG AACGTCAAAATTCCACACATTACTCTGTCCGTCCAGTCCACTCACATACGATCGTCTTCG AAACTGTTTTTATGCTTTGCGACCCGAGAGAAGCCCTATCTTCGAAATAAAGCTGGTTTT AGGGTATCACCTATGCTACATAACACAGCACGGCGTAGCTGGAGGAGTGGGATATGACCG CGGATAGTTACTTTGGGTAG >Rosalind_2801 AGGCCCAACCCGCCCGGGTAAACCGGAGTCTTATTCATCCAGAGCCGGAAGTAGGTACTA AGATGACCATTAGAATCTGTCTCATCGAGTTGCGATAACGTAGATGCTAATATCGTTCTC AACATGGAGGGGTCTAATGGAACGAGTGATATGGGCTCGTGTTTCGGCAACGTGTTCAGA GATTCTGAATTTCTTCCCAGGTCCACGCGCTCGTTCAGGGCGATCCCCCCCAACATTGGG GGCTGGTCGGCGGTACAAAATGGTACTAACCGCTTGCGGGAATAGGTTTCTTCCAGCGCG GGGTCACATCTACATTATGACATGCGATGTATTTGAAGTACTCAGAGATGGCGCCATTCC ACGAGCGGATAACGTGAGCAACGTCATTAAAAGCAGAGCACTGACGCCATAACGCGTCTT TTAGAGGTGCCCAGCTGAGGACTTTCGGGCACTAGAACAAGTCGTACAGTCCCACACGTG TTCGATAGTTCGAGCCTGTGCGCCCCCATGCAACCCCTCTTGAACCTAATCGAATCGATG TTGTCGTGCAGTATCGGCTTTCGGCAGGGTGTACGCTATCCGTCCGAGCTCGTGTACATA GATCGCACTGGTGAGTAGCATGTTTCTAGTCTACCGATCACATAGTAGAAGCTGGGCGCC AGCTCAACCAACAGATCGTATATACACAGAAGACAAAGTAATGACTGAGAGTGCATGGTA TTACTCGATTTTTCTCATCTCTTTACATGGCCATCAGAACTGTTGCGGATGATACGCACA CCTTCTCGTTTTTGGCATTGACGCCTCCCTGTGTTATATCGAGCATAATGCTGCACTTCG GTCTCAAGCATAGCATGTATGGGAGGCGGGCAGTGGAAAAAGCCCTTCAGTCGATCGACG CCACCGCACCGGGATATAAAGGTTCGGCCCAGGACTAGACCCCAGCGTTGCACGCCCTTG TCCTACTGATACTAAGCGTGTGCGCGTACCAATTCC >Rosalind_3651 ACGGTTGGAAGCACTCGATGTCTCCCTAAATGACCAAGCTCGCAGGTCCAGTGGTTCGAA TTGTCTCATGACCTAAACCGCGATACCATGACAACTCCAGTCCCAACATGGAAGAAAAGC ACTGAGTGGCCTCATCCAATATTGGTAGGTGTTACTGCCCATTAGCGGCATTACCACTCG AGTGTCTTTACTAAACGCTGAGTAGTTCTAACTTTGAAAATGCTCCAAGTCGATTAGTAT AGATTGTAAACGCGTAAGTACGAACCTTGACAAGCGAAGCGAAATTCTCGACCGACATTG GGAGGACAACAATGAAGTACGTTATCGGACGTAATTTAAGAGTCGCTAGTGCGCGATTTG CTTCCATGGTGACGACCTCACCCCATCTAGTCGCTTGGCGCGAGCTTCTTTACTCTCTAC TCCTCATTAACGGTGGGAGAGCTGGGGGTAAGAGAACTACTGCAGCTACATTAACTTCCA TACTCAATCTGGCCCTTTACCTACAGGAAGCGTTAGAGGATGTCATGAGCGTGGATTGTG CCCTTCGATTTAGGACAGCCATTGAGGGTCTGCTTCCCCAGCATCTTTTACACGCGGGGC CGCGAGGTATATCCTTATAATCCACACTCTACCGCTCTCTTGCCTCCGTGCGGGCTGCGA GCGTGTCGTCCAGACGTCACGCGTCCACAAGCTCGCTACTTTGAAAAGCCGTTTCCCTGC ACGGGTAGGGCATATAACAGTGCGACTACTGGTCTGGTTACCAGAATCTCGCACCACTCT CCATCGTATTTAACCGTAGTCCAGTAACATAAACTGATCTCTCGAATTCCGACCTCTGCG AATGGACGCCAGAGTCTTTTGGCATTGAGTTTGCTTTTTATCCTCTACGCTGCAGTTGGA TGGCGATACAGAGGTTCCACGTCGATCCGGGCCATTAATAAATGACTCCCAATGGCTCAC AAAACCGTTGTCGCACATAAAAATGCTTTGACGGCGT >Rosalind_2360 TACTTACGATGAACGAGTTCTTGCGTGTAATGCTAGCCCTTGGCAATTATATCACAAAAT CTGACTTCACTTTAAGCTTCATAGGTCTCCACCGGGTGCACCTGCATATAGGTGACCGCG ATTAATATCTAGGAATATGGTCTCAGTCTCAACTTCGCGGCTCCGTCTGCAATTAATCCC CGGCATTTGCACACATGTACGCCTGTCTCTACAGTCGACCGCCTTACCGAAAGCGGGTGT TAAATCATGACCAGGCAAACACTCGCGTTACGAGCTTATCTTATTTCAGGTTGTTCTGTT GAAGGGAGACCTATCTCTCAAATCCGACGAAAACGGTGGTGTCCACTGAGGCTGGTGTGA GCATCACGGATTGGTTTACCTCCCATAGAGTGCCGCAACTCCCTGTCGAGGCTACGAGAT TCTCTCCACATCGGCGATCTGCTCGTTGGAACTGGCCCAGAGTGTAGGTCAACCCCTGTG GCCAACTGCTGACGCGTGATTGGTGCTCACCCTGGAACCATCAAGATTGAGTTATGCCTG AAAAGTCAGTTGCTAACCGCCATTAGCATAACACAATTAGAATCAGGCCCGTACGAGTTT AAAAGCAGTAAGACCCCGATGACTTGTAGAGCGCGAGCGTCGGCTATAATCCTGCTAGGA GTGAGGGATGATCTAAAAAATGGGGTGAAAGACTATAACTGGGCAAGCTAACTGAGGAGG CCTGGAAATGATGAGTTCACCCCACAACTAAACGCGAGTCTTCGCGATTGTGTGCCGTCT GTCTTGGAATGTTTAAAGCGGTAGTGCTGCCTCCTGCCATAGAGCCCTACCCCACCTATG CGGTCTCATCAAGCTACATGCTGGAGGTCACCTATTGTCTGGCTTTGATTAAGCTTGATC CCTAGACAAGGAACGTGTGGCGATTACGTTCAGTATAGGCGGAAGAATCCACGGCCCGGG ACTCACCAGACTCCCTACACAAAGGGCGTTTGCCCC >Rosalind_6933 AACTCGGTATTAACTGGGTGTCGAGGAGTACAAAAACTCTAACAAGTATCTTATGATAGC CGCGCGACCGCAAGGGAATTCATCAGGCGTGAGATAACAAAAGTGCGCTGTCTCTAAATC AAGTTAGCAACTCAATGCTGAAGTACCCCTCGTTGCTGATCTTTGATAGTCTGGTAACTG TCTGCGCTCCCCCAGGGCAATGATAAGACCTGCCGGCTTCAGGGCCTGTTTTTCCACTAG CCACACCTAAACGAACATATGTAGGGGGTGAGTACCACACACCGTCGCTTTTCAATCCGC CGTCAACCTACCTGAAGATACAGGCTTCGAACACCCCGCCTCTCGTAAGACCGTACAGCC TACTATTTGATCGAGGTCACGTAGTTTGGGACTGTATGGTCTGCAGCCCTGCCAATAAAT TTGCCGCATCGCCTGAGCGGCATCCCCAGTGAGGATGACAACTTGGCCCTAATCTTAGAG AACGGCTATTGGAATTACCCTACTTACGGGGTTATGTAATCGCTTTGTAAGGTTTGTGGT TCTCGGAATATCAAGTAGATGGTTAGTCGGCCATGTAGGAATCACGAACCCCGTCACTTC TGGGGCGTCACAGCCCTACCAACTCCGTTTCCAGTGCGTGAACTAGTGAAGATTGCCGGT ATTGTAAAGCTCATTTACTCGGGGGCGTGAGTTACTGCAGTGGACAGGTACTACACTTGC CGTGCAAGGTGAGTTCTTAGCACCTGGCCTTGCGGGGCGGAGCTTGTCGAATTTAGGAAC TAATGCTCCATATGATTGTCCTTAAGACCGTGCTGCCAAGTTGTGCATACAGGTAATAGC CCAGGTCGCTCTGCCGTGAAGAGTACTATGTATTCATCTACTAGTGTGCATTAGAGAAGA CGGTTTTGAATGTCCGTCCCGATCCCACTCCAAACACGACTGTCTCTGTTACGAACGCGC ATCGTTCCGATCTTTCGAGCGGAGGTGATCACATATAGTG >Rosalind_2424 CTTGGAATGTTTAAAGCGGTAGTGCTGCCTCCTGCCATAGAGCCCTACCCCACCTATGCG GTCTCATCAAGCTACATGCTGGAGGTCACCTATTGTCTGGCTTTGATTAAGCTTGATCCC TAGACAAGGAACGTGTGGCGATTACGTTCAGTATAGGCGGAAGAATCCACGGCCCGGGAC TCACCAGACTCCCTACACAAAGGGCGTTTGCCCCTCGTCACCACGTTGAACAGAAGGATA AAAGGTGTAGGATCTATACCCAGGCGGATAGCCTGTGTTGACTCTCTGCCAGCTGAGGTT GGAAAGTGATTTTTTGAACTTACGAGTTGGTTTACGACGTTCTGGTGGCCCCATCAATTC ACGATCCTCCGTTGGGCCCGTCCACAAGGGCTAAGTCACAGTAGGCGGTCTAGTTCAAAA CCACTCACCCCCTGCGCATTTTCGTAGGGTTCTACTAACTAGTTTCTATCTAGTCACGTC ACATCTGTCATCGGGACGTCATGGACGTGAACGGCACTAATGGGCTACCTATGTTTACCT CCCAAACTGCCAGAAGCATCCGACGAAAACACGTAGGTACCATCCAGCGGTGGTATTCTC AACATAAATCCCTTTCCCTCCACTGGATATGATTCCTCACCCGCCAGGGGTTCAAACCAG TTGGTCTGTACGCGTAAACACTGCCGCAAAAGCGAGCCAATTATGAGCGTCCCCCGAGAA AGGAGATTCGCGCATCGTACCATAGCAAGGCGGGCAGAGTTTCAATCTCCTTATAACATA GTAGGGTCATACGAATCAGTTGCAGTTGGCTCTGGTTGTGATGATTTAGCACGGTGTATG ATGCATATTGGGATAGAAGATTACTCAAAGTCAAATCCTGTTCCGCCCTCCACACAAAAT ACGCTGCGGTATTTGACCGAAGGCGTCGAGAAACCACAAGCAGTGGCGGCTGAGGGCCTG GCGCACATAAGGTGAATCATCGTTCTATTGATGGC >Rosalind_2407 AGTAAGCGTCCAGTCATTAGAACGATTTATGTGAATTAAGCCGGTTGGCCAAAAGTTTTG TGAACGTCCTACGGATGCTAGGGGTCTCTCAAGGCGACTCTAATGATTATCATTCCATCC TTTAGCAGATTTCTCCAACAGCAGTTCGGATTGAAGAAAGATAAGAGATTGCAATAGCCC TATGACGTTAATTGCTTCCCGGGAATCATCATTAAGAGCCAAAACACAGCTGCTAGTTGG TCCTATGGGCTCGGGTGTCGATTACATTCCACCCTTTTCGTAGCGTCCCGGAAATCAGGT TATTCTCATTAAGTCGAACACATGCTCAATGTGTTCGCAGACTATAGATGAACATGGCAA ACTTCCTGCTCCGATATCCTTGTAGCCTGTAAAGTACCTGGCCTGCTCAGAGAGTCCGGC TAAGCTATGCTGTTCTTCTAATAGAACAGTGGGACTATCCAAAGGACAGAGGGACAGGGG AGTTGGATGGTCCAGCAACCCACCCTCGCACAATTAGTTCTGCCCGTCGAATGCTCTGCT AAGAACCCGTAAGCTTCATGGCCTGGCGACGCTCGTGATGCATTTAGCAGAGCTCGCACC CGGGAAATCAGATCATTCTCAAAGTTCAAGCTCGGACAACCTCTCAGGCCCGAACGCGCC TCCGTTAGTTAAACTCTGAAGACATTTCGCCCCTGTAATTTGCCTTTAAGGGGGTATTTC CTCACGCTAAGTAAGACATGCAAATACTAACTCGTAGTTCGGCTACAGAATCGCGTAAAC GGAATCTCTCGATGGGCGCGCCATAGCCCGGACAGACTACCAGAAGTTCAGGCGCTTACG TCTGCTCAGTCCTCTTCCAGTACAGCGATATTAAAAGCGTTCCCAGCTCTCACGGCTAGC ATGCTACTCTGTTCCAAGCTATGATATAGATTAATAAACGAGCTTATGCCCATGCCGATT AGAACACAGCTTTCCAACATTGT >Rosalind_0223 ATGCTCCATATGATTGTCCTTAAGACCGTGCTGCCAAGTTGTGCATACAGGTAATAGCCC AGGTCGCTCTGCCGTGAAGAGTACTATGTATTCATCTACTAGTGTGCATTAGAGAAGACG GTTTTGAATGTCCGTCCCGATCCCACTCCAAACACGACTGTCTCTGTTACGAACGCGCAT CGTTCCGATCTTTCGAGCGGAGGTGATCACATATAGTGTTTTTGAACTAAATTCCCCCTG CTAGTCGTGGCGGTTGTAGTGTGAAGTGTTGCTGACGCTCACGGCTCCTGGTTAGAGGCT CTCCCGTATTCGGGGTTTCAGCCAGAAACTTGAATATACCATGTTAGCGTGGTACGAGGA ACGTTCTTACCATACTTATTGAGTTGCCTGCTGGACCTAACTGGTCCGATATTTAAGGAT GGCGCGCACAGTAAGCACATATCCATCTGAAGTCATCTTCACATTTTCGTCACAACTCGG ATGGCCGGCGGCAACAGTATATTGCGCAATACCATAGACGTGCAAACAGATGGTCCCGAC CACCTGCGACGCACACGTCTACAGAATTCCCCCCCGGTGCTTGACGCGTTATGTGTGTGT CCAAAATTGGGAAAGTGTAGAAATTCTCCATTAACCCATCATCCGTCACACCTCTTATGA GAGTTAGGTGGCGTCCTTTTTTAGCGCACCTGGAAGATCTAAGGACTACTGTTACAATTG GAAATTGATCCTTAATTTCGTGCCAGTATTTCAACTTAAATACCAGCTAGCATCAGAGGT ATACGTCATAGTAGACGACTGAGTCACGTACTTACGATGAACGAGTTCTTGCGTGTAATG CTAGCCCTTGGCAATTATATCACAAAATCTGACTTCACTTTAAGCTTCATAGGTCTCCAC CGGGTGCACCTGCATATAGGTGACCGCGATTAATATCTAGGAATATGGTCTCAGTCTCAA CTTCGCGGCTCCGTCTGCAATTAATCCCCGGC >Rosalind_5986 TGGTTATAAAAGGCACCGTCCGGGTATCAGTGAGGACTTCCTGGTCCGCGTCTTGCGCCA TATAGTCCATGTGTATGTAGATACGGGCGGGTCTGATGTATGGCGAAAATTTGTTCAACG GACGACAAGGGATAAGGTACGCATTTGCATCTACGCTGTGTCCTACTCGCGCGTGCGCTA GTAGGTGGGTGAAATCGATGTCATTGGCCACAGCGGATCTTATACGAGCACCAACCGCCC GGCCTACGCACGACCATTCATAGAATTCTAAAATTTGATGGATTACATCTATTCACCGCC TCGGACTTCGCTCGTATCGCTCCTGAGGACTGTGACTCCTGCCTATACTACTGCTGGTGC TAGAAGTAAGCGTCCAGTCATTAGAACGATTTATGTGAATTAAGCCGGTTGGCCAAAAGT TTTGTGAACGTCCTACGGATGCTAGGGGTCTCTCAAGGCGACTCTAATGATTATCATTCC ATCCTTTAGCAGATTTCTCCAACAGCAGTTCGGATTGAAGAAAGATAAGAGATTGCAATA GCCCTATGACGTTAATTGCTTCCCGGGAATCATCATTAAGAGCCAAAACACAGCTGCTAG TTGGTCCTATGGGCTCGGGTGTCGATTACATTCCACCCTTTTCGTAGCGTCCCGGAAATC AGGTTATTCTCATTAAGTCGAACACATGCTCAATGTGTTCGCAGACTATAGATGAACATG GCAAACTTCCTGCTCCGATATCCTTGTAGCCTGTAAAGTACCTGGCCTGCTCAGAGAGTC CGGCTAAGCTATGCTGTTCTTCTAATAGAACAGTGGGACTATCCAAAGGACAGAGGGACA GGGGAGTTGGATGGTCCAGCAACCCACCCTCGCACAATTAGTTCTGCCCGTCGAATGCTC TGCTAAGAACCCGTAAGCTTCATGGCCTGGCGACGCTCGTGATGCATTTAGCAGAGCTCG CACCCGGGAAATCAGATCATTCTCAAA >Rosalind_2914 TCGGTTTTCTCTGAGTTTGCTATTCGTACATCTTTACTCAGGGCCCTGCTCCCCCAAAAA GTTTAGACGTTGGCGCCAATTCCTAGAAGAACATCCGTCATCATCAGGGTAGGTTAGATG ACTGATAATCTCGTTGAACGGAAATTGATTGTGTGGACAAATCCGTCGCACACCGAGCTA TTTTGATATGTAGTGACTGTCTACTGTCATGGCGTACGTTGACACACCCAACCTGCGGTC CTCAGCAATCTGTTAGTATATGCCTGGGTTAGGGTTCATGCCTTGAAATCCGGGTAAGAG GAGTTAGTGCGCTGACTACATAACATGTCTCGGCTGTATAACGGAAACATTAAGGTGTAG AACGGAAAACCCAGAGGATTTTCAACTTGTAATAGCTCTTCCGACGAATTCCCAGACGAG CCTCACACAGCGGTCGAAGTCACGATCGGTACCTTAGCTAAGATCTCTACCCCCACCAAT AGGGCGTAATCGCTGTTTATCTAACGTAAAGGTGTCGAAAGCGCAAAGCCTTCACCCCCC CGATGTAGTAATGTGAATTTGGGGAAGCAATATCAAGCAATTATCCCAGTCAGCCGCCTG GCGGGACACTTGTGCTAGCGAGGACCATCATTTAGGCTCGCGCAGTTATGCAGTGGCCAC CATCAGCAGTTGAGTCGAGTTACCACAGGCGTGCGGTATACCACTTCTAAGGCAACTCTA CCATGCTTCTACCCGAAGAGAATTAAACACGATGGAGTTGGTAATGACACAAAATATAAT GATTGTCTAACAGTGGAGATACTTGCTTCTGAATTCTGTTTGCGTGCGTCATAAGCAGGG TGATTTCTGTCTTCCTTCGCGTTATAGGCGTAATGTTTTGATACCCGGCACCACAAATCA GGAGCTTGGGCTGCCTACCTGAGTAACGGGGTCGGCGCAACTACAGCGGGTTTTAGTAGG AGGACGAACTGGACTCCGAGCTCATCTTGCTGTTCTTGTC >Rosalind_3701 AAAATGGTACTAACCGCTTGCGGGAATAGGTTTCTTCCAGCGCGGGGTCACATCTACATT ATGACATGCGATGTATTTGAAGTACTCAGAGATGGCGCCATTCCACGAGCGGATAACGTG AGCAACGTCATTAAAAGCAGAGCACTGACGCCATAACGCGTCTTTTAGAGGTGCCCAGCT GAGGACTTTCGGGCACTAGAACAAGTCGTACAGTCCCACACGTGTTCGATAGTTCGAGCC TGTGCGCCCCCATGCAACCCCTCTTGAACCTAATCGAATCGATGTTGTCGTGCAGTATCG GCTTTCGGCAGGGTGTACGCTATCCGTCCGAGCTCGTGTACATAGATCGCACTGGTGAGT AGCATGTTTCTAGTCTACCGATCACATAGTAGAAGCTGGGCGCCAGCTCAACCAACAGAT CGTATATACACAGAAGACAAAGTAATGACTGAGAGTGCATGGTATTACTCGATTTTTCTC ATCTCTTTACATGGCCATCAGAACTGTTGCGGATGATACGCACACCTTCTCGTTTTTGGC ATTGACGCCTCCCTGTGTTATATCGAGCATAATGCTGCACTTCGGTCTCAAGCATAGCAT GTATGGGAGGCGGGCAGTGGAAAAAGCCCTTCAGTCGATCGACGCCACCGCACCGGGATA TAAAGGTTCGGCCCAGGACTAGACCCCAGCGTTGCACGCCCTTGTCCTACTGATACTAAG CGTGTGCGCGTACCAATTCCCGTGACTATTAGACGAATGTTTCACAATCTCAAGCGCCCG GGGTTGGAAGTAGCCTACTGACTACAGCCGATCCTACGCCTAATTGATTAACAGCGGCAG TTACTAGAGTATTTACATATTCACTCAGGACTAGCGCACTATTGGTTGCTCCCACGTCGG TCGCATACCTTGCTACCTGCTTCTCCAAAGGCAAGGAATCATGGGACGTAGATGCTACCG AAGACGCGGGAGTGGATCGTTATGAGTTTGGG >Rosalind_7344 CTTCCTGCTAACTCTGGACATTACCTGTACCCCTAGGCACGATCAATAGTTATAGGGCCG CTGATCTCCATGGGAACCCGATGACCTACCACGTTCTTCGAGGATCCGATGACCCATCTT AGGTGCGCAAAAGATATTGGCCTTTTCTCCAAGACTGATCTCGACATATCGCATCCACTT CTCTTTTGGATACCAATCTCTGAGCCAGTAAAATCGTCATTCACTGTCTCCCTATTACTT CTCTCTAGGGCATCCACATGTGATACTTTTAGTGTGTGGGCGAATCAAGATCCTCCTATA CCGCCTATGTCGACGTCAGACGATGCGAAGTCATCAACGCTTCTCCGTCACACTTCCTTT TGTCGTACATGACCCACAATCGTGGGCCTGAACTCGGTATTAACTGGGTGTCGAGGAGTA CAAAAACTCTAACAAGTATCTTATGATAGCCGCGCGACCGCAAGGGAATTCATCAGGCGT GAGATAACAAAAGTGCGCTGTCTCTAAATCAAGTTAGCAACTCAATGCTGAAGTACCCCT CGTTGCTGATCTTTGATAGTCTGGTAACTGTCTGCGCTCCCCCAGGGCAATGATAAGACC TGCCGGCTTCAGGGCCTGTTTTTCCACTAGCCACACCTAAACGAACATATGTAGGGGGTG AGTACCACACACCGTCGCTTTTCAATCCGCCGTCAACCTACCTGAAGATACAGGCTTCGA ACACCCCGCCTCTCGTAAGACCGTACAGCCTACTATTTGATCGAGGTCACGTAGTTTGGG ACTGTATGGTCTGCAGCCCTGCCAATAAATTTGCCGCATCGCCTGAGCGGCATCCCCAGT GAGGATGACAACTTGGCCCTAATCTTAGAGAACGGCTATTGGAATTACCCTACTTACGGG GTTATGTAATCGCTTTGTAAGGTTTGTGGTTCTCGGAATATCAAGTAGATGGTTAGTCGG CCATGTAGGAATCACGAACCCCGT >Rosalind_8907 ATAGCGATTTTTCGGACATGGTAGCAGAAAGACCATACAAATCACAAATCAACCGGCCGG ACCACCGCTGTTACGTATGTGATCTATTTCTAACCGCATTTCGACGCTGTCAGGTACTGA CCCCACGGTTCGGGAGTTTTAGTGTTAGTAAGTGATTACTCTGTCGAGGAAGCGTATCTT TAATTAGTAACTGTTCTGAAGTCCGTATAACCCTGGTCCGCAGCGGAATAAGTCGACGGT TAGCCGATGTGTTGTTCCCTCAACGGTAGGTGATACTTGGAAAGTTTGTGATAGATTGCA GACGCCATTACGGTGATGGATAAACGCGGATGCATCCGCGTAAAGGACTGAGAGGCGGTT TGCGTACCGCAGTCAAGATTAACACATATATTGTGTATAAACCACTATCGACATAACAAT AAGATGCCGAGTCTCCTTAGCGATAAGCTTCCCATCAGCTCCCAAGCCAAATCTATTATA GGAATGACATCACCATTCGATAACCAAGTCTTTATTGAGACGGTGCGGATTTGCCCTTGG AAGCATCACGTAAAGACAAATTCTCATGCGTCCTTCCGTCAGTTCCCGGTTTCCTCCTTA TACCTCACCTTATTAAGATTTCACTACGTGTGATGACGTTATCACTGGCGCCGGTAGTAA GGCCCTTTGTCGCTTAAAACACGCTGGTTCTTCAACCTGCGATAACGTGGGCGCGCGTGA ATTTGCTAAACTGGTTATTCTAACGTTGCATTCGAGGCAAAAGACCGCATTCTATTTGAT CTCGGTCCCCTAGAGGGTAATCTCTGTAGTACATGGTTTGATCAATCCCCGTGACGTCAT AGTTGGATCATAGGGAGGTTTTTCGTAGTGGGTAAAACCTCGAATCCGAACTTCGTCTAT TAGTCTCGTCCTCGCATGCGCACAAAAGGGAACCCATGGCCGTATCCACGCGGGTTGAAC CCAGGCGCCTAGAACTGCTACGATTGAATATTCGCAACG >Rosalind_9752 GAACTCTGTTGGTTGATGCTATCTTTGGCACCTACGTGGCGGGAAGAAATTCAGAAGGGA TCTAGGACACGGTGTACAGCGTGAACCCGCTCGACGGTGCGGATATATGATCTATTGCGG AGAATGCCTGCCAAACTCGCCCCGCCGTTTTGTCGAGGCTTTTACCTTAGAGGTGTCGGA AGTTGCTCGGAAGTTAGCGTTTGTTTATTTAGTAACCCATAACTTAACTGTTAGTTAGCG AGAGGGAGTCGAAGCCCAATGGCGGGCAGGCAGTGCAATTGATGATCGCTTTGAGGATTG ATCTTAGATACAACTTTATTGTATACGCGCTGGTGCTATTAACCAGCATGTGCTTGATAA TGTTCACGCCGCTGTCGGGTAATCCATCAGGTACTACAACAGAGGTGGGCTGAATGCGGA GCTGGAACTGACAATGAAAGTCAGTGTAGGGTGCGCTGTATGGGCGCGATGGTGCACAAG CCAACCGGTGCTAACAAACTCAGGGGGACCTTACCGCAACACGGAGTTGTTACAGAGTTG TGATAGCGATTTTTCGGACATGGTAGCAGAAAGACCATACAAATCACAAATCAACCGGCC GGACCACCGCTGTTACGTATGTGATCTATTTCTAACCGCATTTCGACGCTGTCAGGTACT GACCCCACGGTTCGGGAGTTTTAGTGTTAGTAAGTGATTACTCTGTCGAGGAAGCGTATC TTTAATTAGTAACTGTTCTGAAGTCCGTATAACCCTGGTCCGCAGCGGAATAAGTCGACG GTTAGCCGATGTGTTGTTCCCTCAACGGTAGGTGATACTTGGAAAGTTTGTGATAGATTG CAGACGCCATTACGGTGATGGATAAACGCGGATGCATCCGCGTAAAGGACTGAGAGGCGG TTTGCGTACCGCAGTCAAGATTAACACATATATTGTGTATAAACCACTATCGACATAACA ATAAGATGCCGAGTCTCCTTAGCGAT >Rosalind_3308 TCTGAAACTCTCACGCGTAGTTGTATATTAAGGCGTACTCACACGTCAACTTTCGAGCCT AGACGCCAGTGCCTGATTTAGCCGTACAGTATAGCCGTTGCGGGAGTAACTTATGTACGG TGGGGAATTGCAAGTGGCACTTCGTATTCAGTTCACGTGGAGAAATTTTAAAAGTCGTAA GGGGGGAAGATTCTACAAAGTCATTTTTCGATACCACCGCTGACACCCGGACAACTATGA TTCCCGAGTCGCCTCAGGGGGCTCCAGTCGTAAACGGGCCAACGGACGTCAGTATAAACT GCGCCAACATGGTTGTGATTCATTACAATTCGACTTACCGTAATTTATTAACCCTTTATG GTTATAAAAGGCACCGTCCGGGTATCAGTGAGGACTTCCTGGTCCGCGTCTTGCGCCATA TAGTCCATGTGTATGTAGATACGGGCGGGTCTGATGTATGGCGAAAATTTGTTCAACGGA CGACAAGGGATAAGGTACGCATTTGCATCTACGCTGTGTCCTACTCGCGCGTGCGCTAGT AGGTGGGTGAAATCGATGTCATTGGCCACAGCGGATCTTATACGAGCACCAACCGCCCGG CCTACGCACGACCATTCATAGAATTCTAAAATTTGATGGATTACATCTATTCACCGCCTC GGACTTCGCTCGTATCGCTCCTGAGGACTGTGACTCCTGCCTATACTACTGCTGGTGCTA GAAGTAAGCGTCCAGTCATTAGAACGATTTATGTGAATTAAGCCGGTTGGCCAAAAGTTT TGTGAACGTCCTACGGATGCTAGGGGTCTCTCAAGGCGACTCTAATGATTATCATTCCAT CCTTTAGCAGATTTCTCCAACAGCAGTTCGGATTGAAGAAAGATAAGAGATTGCAATAGC CCTATGACGTTAATTGCTTCCCGGGAATCATCATTAAGAGCCAAAACACAGCTGCTAGTT GGTCCTATGGGCTCGGGTGTCGATTACATTCCAC >Rosalind_0174 TAACTGGTCCGATATTTAAGGATGGCGCGCACAGTAAGCACATATCCATCTGAAGTCATC TTCACATTTTCGTCACAACTCGGATGGCCGGCGGCAACAGTATATTGCGCAATACCATAG ACGTGCAAACAGATGGTCCCGACCACCTGCGACGCACACGTCTACAGAATTCCCCCCCGG TGCTTGACGCGTTATGTGTGTGTCCAAAATTGGGAAAGTGTAGAAATTCTCCATTAACCC ATCATCCGTCACACCTCTTATGAGAGTTAGGTGGCGTCCTTTTTTAGCGCACCTGGAAGA TCTAAGGACTACTGTTACAATTGGAAATTGATCCTTAATTTCGTGCCAGTATTTCAACTT AAATACCAGCTAGCATCAGAGGTATACGTCATAGTAGACGACTGAGTCACGTACTTACGA TGAACGAGTTCTTGCGTGTAATGCTAGCCCTTGGCAATTATATCACAAAATCTGACTTCA CTTTAAGCTTCATAGGTCTCCACCGGGTGCACCTGCATATAGGTGACCGCGATTAATATC TAGGAATATGGTCTCAGTCTCAACTTCGCGGCTCCGTCTGCAATTAATCCCCGGCATTTG CACACATGTACGCCTGTCTCTACAGTCGACCGCCTTACCGAAAGCGGGTGTTAAATCATG ACCAGGCAAACACTCGCGTTACGAGCTTATCTTATTTCAGGTTGTTCTGTTGAAGGGAGA CCTATCTCTCAAATCCGACGAAAACGGTGGTGTCCACTGAGGCTGGTGTGAGCATCACGG ATTGGTTTACCTCCCATAGAGTGCCGCAACTCCCTGTCGAGGCTACGAGATTCTCTCCAC ATCGGCGATCTGCTCGTTGGAACTGGCCCAGAGTGTAGGTCAACCCCTGTGGCCAACTGC TGACGCGTGATTGGTGCTCACCCTGGAACCATCAAGATTGAGTTATGCCTGAAAAGTCAG TTGCTAACCGCCATTAGCATAACA >Rosalind_8314 TCAGTCCTGCAGGCCTATAGTTGCATTAGCGAATATGATCTCAGTGCATGAGTTCGCCAG GGTGGACGTCTAAGACATCCCGCGGGGATCGGAATAAATTTATAGATATCGAGGTCGTTG CCTGAACAACTATGACTGCAGGGTCTAGAGCCGAAACGCTAATTCGCCCAATACAGGTGA AGGGAATCGCGCCTAATCTTATCTAACGGACATCCCTTCGAACACATCTTAGGAGGCCTA CCGCGTTATAGAAGTACAGTAGAGTGCAATGCTGGGTCTTGCGATATGAACCATCAACAA CCGCGGAGTCGAAGAAGTGCCGAACTGGAGAGGAGGCTTTTTCTTTCTCACACATGAGCG TTGTACTGATAGGAACCGGCGGAAGCGAACGTCAAAATTCCACACATTACTCTGTCCGTC CAGTCCACTCACATACGATCGTCTTCGAAACTGTTTTTATGCTTTGCGACCCGAGAGAAG CCCTATCTTCGAAATAAAGCTGGTTTTAGGGTATCACCTATGCTACATAACACAGCACGG CGTAGCTGGAGGAGTGGGATATGACCGCGGATAGTTACTTTGGGTAGTCGAGCCCCGGAA CTACCCACATAGTCAGCTGGTATGCCATTCGCGCTCTTGTAAGGCCATTTGTAAACTTGG CGTAATGCATATTGATGCCCCGTGTCACGGTAAGTACACCACGCACACTTGTTCTTCGAG AGCGGCTTCGCCATCATCCTGGCAGCGTTATGTCTGATCTCGAAGTCGGTTTTCTCTGAG TTTGCTATTCGTACATCTTTACTCAGGGCCCTGCTCCCCCAAAAAGTTTAGACGTTGGCG CCAATTCCTAGAAGAACATCCGTCATCATCAGGGTAGGTTAGATGACTGATAATCTCGTT GAACGGAAATTGATTGTGTGGACAAATCCGTCGCACACCGAGCTATTTTGATATGTAGTG ACTGTCTACTGTCATGGCGTACGTTGACACACCCA >Rosalind_3385 ACAACGTTGCGGGCGGTAACTTTTGGTGCATCTAACGCTCGATCGGTTTCTCAAGCTGAC CTTGAACCGAAGGAAAAGGACTCTAGCGACGCGGTTATGTTAAACCACTCAGTACAAAAT GCGGAGGCATTGATACAACACATGAAGTGGCTCGGAAAACGGATTGCAGAATAATAGCGT GCTATATACCTATTTACTTAGCAGTTCACTTGGTTGTAGCATATGCAGCTCCTGGACAGC CACTTGCAGATAAGGGATAAAAGAAACGGTAGACAGTCAGGATAGTGAACCATTAGGCAC TATGAACCGGAATGGGATAGGTTTCGTAATTCCAACTATCGGTTGTTCGATCACCGTTTG ACGGGAATTTCGTCTCGCCAGTATCACCAGCGCGAGAAGCATGATGTACGAGATTAAGAT CTATAGCAGCGCCTGCTCAACAGCCTAATCACCTTGCTCGGCGAGGAGCATTAAAGCGAA TACAGTTAACTGCATACACGCATACAAGGAGTGAATTGTGACGCATGGCGCTCTAAGCAA TGAGTATAGCATGTAGCGTTACATTGCTCTTATAGGGGGCTGCGGGGGAACCTCACATTC CGACCTATATCTTCACTGTGTGAAGTATATGAGTTGGACGGCTCTGGGCCTCAAGTCTTG TCGTTGAACCTCAGAGCAAGCTGGCTCGGGACATTATTACCCGGAGTTTGGGCGCCCCGC CGGATGTAGCCCTCACGTTGTTGTGTAGATGTTGTAGCTCCTGGTAAACAGTCGTGTTCT ACACACTTCCGTTAACAATATGTCGGCGTATGTTCCCGAAATTCAGACTGGCCGTGAAGC AAGTCGCGTATGAGGGGCGGTGTATTGTTTTCTGCTCACTTGTATTGCTGCGTGCGCTAT CGGATGATATATACAAATGGCTGGAGCGCGCACCAATGAAAAATACTCGAATACCTGGTT AGCAGGACCCCTGACATTCGTTCTAAATGTCGC >Rosalind_0784 TACCGCAGTCAAGATTAACACATATATTGTGTATAAACCACTATCGACATAACAATAAGA TGCCGAGTCTCCTTAGCGATAAGCTTCCCATCAGCTCCCAAGCCAAATCTATTATAGGAA TGACATCACCATTCGATAACCAAGTCTTTATTGAGACGGTGCGGATTTGCCCTTGGAAGC ATCACGTAAAGACAAATTCTCATGCGTCCTTCCGTCAGTTCCCGGTTTCCTCCTTATACC TCACCTTATTAAGATTTCACTACGTGTGATGACGTTATCACTGGCGCCGGTAGTAAGGCC CTTTGTCGCTTAAAACACGCTGGTTCTTCAACCTGCGATAACGTGGGCGCGCGTGAATTT GCTAAACTGGTTATTCTAACGTTGCATTCGAGGCAAAAGACCGCATTCTATTTGATCTCG GTCCCCTAGAGGGTAATCTCTGTAGTACATGGTTTGATCAATCCCCGTGACGTCATAGTT GGATCATAGGGAGGTTTTTCGTAGTGGGTAAAACCTCGAATCCGAACTTCGTCTATTAGT CTCGTCCTCGCATGCGCACAAAAGGGAACCCATGGCCGTATCCACGCGGGTTGAACCCAG GCGCCTAGAACTGCTACGATTGAATATTCGCAACGCGTAAGTAACCTAGAGAGGCGATCG TCTCCCAAAGGGTCTTCTTTGCCCGACCTCAATGAAGGTGGATATGATTCGTTCGCCACG GCGCGGTCACCCACAGACGCGTCTAAACCGATGCCTAAAGACCGGGGGTATCCCCTATGC TCCTACGCATACCCGTAGAACGCTCCTCGACGATGCAGCTTCCAGGAGCTTTTGTCACTT AGGCCACCCCATGCTATGCACCATTACAGGGCGAAGATACAGCTACGTCCCGGGAAATGA AGTGTTCTCGCGGCGCCGCTATAGAGAACAACCTCCAGGCTGCTATGTGGTGCAGACTCC GCATCGAACAGTACGCGTCATA >Rosalind_3199 CTTTGAGGATTGATCTTAGATACAACTTTATTGTATACGCGCTGGTGCTATTAACCAGCA TGTGCTTGATAATGTTCACGCCGCTGTCGGGTAATCCATCAGGTACTACAACAGAGGTGG GCTGAATGCGGAGCTGGAACTGACAATGAAAGTCAGTGTAGGGTGCGCTGTATGGGCGCG ATGGTGCACAAGCCAACCGGTGCTAACAAACTCAGGGGGACCTTACCGCAACACGGAGTT GTTACAGAGTTGTGATAGCGATTTTTCGGACATGGTAGCAGAAAGACCATACAAATCACA AATCAACCGGCCGGACCACCGCTGTTACGTATGTGATCTATTTCTAACCGCATTTCGACG CTGTCAGGTACTGACCCCACGGTTCGGGAGTTTTAGTGTTAGTAAGTGATTACTCTGTCG AGGAAGCGTATCTTTAATTAGTAACTGTTCTGAAGTCCGTATAACCCTGGTCCGCAGCGG AATAAGTCGACGGTTAGCCGATGTGTTGTTCCCTCAACGGTAGGTGATACTTGGAAAGTT TGTGATAGATTGCAGACGCCATTACGGTGATGGATAAACGCGGATGCATCCGCGTAAAGG ACTGAGAGGCGGTTTGCGTACCGCAGTCAAGATTAACACATATATTGTGTATAAACCACT ATCGACATAACAATAAGATGCCGAGTCTCCTTAGCGATAAGCTTCCCATCAGCTCCCAAG CCAAATCTATTATAGGAATGACATCACCATTCGATAACCAAGTCTTTATTGAGACGGTGC GGATTTGCCCTTGGAAGCATCACGTAAAGACAAATTCTCATGCGTCCTTCCGTCAGTTCC CGGTTTCCTCCTTATACCTCACCTTATTAAGATTTCACTACGTGTGATGACGTTATCACT GGCGCCGGTAGTAAGGCCCTTTGTCGCTTAAAACACGCTGGTTCTTCAACCTGCGATAAC GTGGGCGCGCGTGAATTTGCT >Rosalind_0989 GTCCAGTCCACTCACATACGATCGTCTTCGAAACTGTTTTTATGCTTTGCGACCCGAGAG AAGCCCTATCTTCGAAATAAAGCTGGTTTTAGGGTATCACCTATGCTACATAACACAGCA CGGCGTAGCTGGAGGAGTGGGATATGACCGCGGATAGTTACTTTGGGTAGTCGAGCCCCG GAACTACCCACATAGTCAGCTGGTATGCCATTCGCGCTCTTGTAAGGCCATTTGTAAACT TGGCGTAATGCATATTGATGCCCCGTGTCACGGTAAGTACACCACGCACACTTGTTCTTC GAGAGCGGCTTCGCCATCATCCTGGCAGCGTTATGTCTGATCTCGAAGTCGGTTTTCTCT GAGTTTGCTATTCGTACATCTTTACTCAGGGCCCTGCTCCCCCAAAAAGTTTAGACGTTG GCGCCAATTCCTAGAAGAACATCCGTCATCATCAGGGTAGGTTAGATGACTGATAATCTC GTTGAACGGAAATTGATTGTGTGGACAAATCCGTCGCACACCGAGCTATTTTGATATGTA GTGACTGTCTACTGTCATGGCGTACGTTGACACACCCAACCTGCGGTCCTCAGCAATCTG TTAGTATATGCCTGGGTTAGGGTTCATGCCTTGAAATCCGGGTAAGAGGAGTTAGTGCGC TGACTACATAACATGTCTCGGCTGTATAACGGAAACATTAAGGTGTAGAACGGAAAACCC AGAGGATTTTCAACTTGTAATAGCTCTTCCGACGAATTCCCAGACGAGCCTCACACAGCG GTCGAAGTCACGATCGGTACCTTAGCTAAGATCTCTACCCCCACCAATAGGGCGTAATCG CTGTTTATCTAACGTAAAGGTGTCGAAAGCGCAAAGCCTTCACCCCCCCGATGTAGTAAT GTGAATTTGGGGAAGCAATATCAAGCAATTATCCCAGTCAGCCGCCTGGCGGGACACTTG TGCTAGCGAGGACCATCATTTAGGC >Rosalind_5324 GCTGACTGCTTGTGTACCCCTGGAGTCCGGTCCTGTTTTTCGCCCTAATCCATGGGCTAC AGAATACGTAGCATGACCGGTTGATTGGCATTCCGTACTATCCAGCATATACAGGGCTCG TATGTTCTACGGCTAGATCGCTCACGTTAGGTTCAACCGATATACTTCATAAAGGAAAAG ACGCGCCTCGAACTACGAGCAGCCCGGTTCCGGGCAGGGCCAACGGCATAAAATTACGGA CGCGTGAACGCGAGGAACGCCATCTCACGTGCAACCAATTTACTTTTCTATTACTCATTG GGAGAACATTATGGAATGCAACTTGGGGCAAGCATTGTCTTCGAGCCATGGTTTAAGCTC CTGACGCGGGTATAATTATCCCCTGCATGTACGCAGGGCGGTCGCTGGACAGTGCACCCG GAAGAAGGACGAGAGGTCTGATTGTGCTTGCGCGACCATGGTCCGAGCGAAATGGCGCAT TTTTTTTTTAGCCTTAGACGAGAGCAACACGGCTTCTCTGGCTCGCGAGTGACCGTCTGG GATCCCGTTAGGCGAGCACTTTGCCATTTCTTATGTATGTTCCACCTGGGGAGAGGTCCG GTGTTTCTCTAGCCACACATTGACGTGTGAGGCGGGTACACCCCGCGATGACGGTTGGAA GCACTCGATGTCTCCCTAAATGACCAAGCTCGCAGGTCCAGTGGTTCGAATTGTCTCATG ACCTAAACCGCGATACCATGACAACTCCAGTCCCAACATGGAAGAAAAGCACTGAGTGGC CTCATCCAATATTGGTAGGTGTTACTGCCCATTAGCGGCATTACCACTCGAGTGTCTTTA CTAAACGCTGAGTAGTTCTAACTTTGAAAATGCTCCAAGTCGATTAGTATAGATTGTAAA CGCGTAAGTACGAACCTTGACAAGCGAAGCGAAATTCTCGACCGACATTGGGAGGACAAC AATGAAGTACGTTATCGGAC >Rosalind_6402 AAGACCGCATTCTATTTGATCTCGGTCCCCTAGAGGGTAATCTCTGTAGTACATGGTTTG ATCAATCCCCGTGACGTCATAGTTGGATCATAGGGAGGTTTTTCGTAGTGGGTAAAACCT CGAATCCGAACTTCGTCTATTAGTCTCGTCCTCGCATGCGCACAAAAGGGAACCCATGGC CGTATCCACGCGGGTTGAACCCAGGCGCCTAGAACTGCTACGATTGAATATTCGCAACGC GTAAGTAACCTAGAGAGGCGATCGTCTCCCAAAGGGTCTTCTTTGCCCGACCTCAATGAA GGTGGATATGATTCGTTCGCCACGGCGCGGTCACCCACAGACGCGTCTAAACCGATGCCT AAAGACCGGGGGTATCCCCTATGCTCCTACGCATACCCGTAGAACGCTCCTCGACGATGC AGCTTCCAGGAGCTTTTGTCACTTAGGCCACCCCATGCTATGCACCATTACAGGGCGAAG ATACAGCTACGTCCCGGGAAATGAAGTGTTCTCGCGGCGCCGCTATAGAGAACAACCTCC AGGCTGCTATGTGGTGCAGACTCCGCATCGAACAGTACGCGTCATAAGTGAGTTGACGAC GATGCTTAAGCACCTACTCCTGGTAGACTTTAGCGCTCCACTCTTCATGTATTTCGCCAA ATCACATATGGGGGGTTAAGCATAATAAGAACTGTCGCTCCGCTCTCAAATGAGTATCCC CCGAAGGGCCTTGATTTTTTATCAGGACGTCGGGTCGTTCACCTATGCCCATAAGGCCAT TGGGGGGTTACGTCCACAGGACCTCTCTTTCCCCAATGATAATATGGCTATGGAACGGAG AGTTTGAAGCAGTGTGTAGGGGGTCCCGTCCCCACTGGACCTACAGGCTTACGTATTATC GTTACTGCTAATTCGCGATTGTGACGATTTCCTGTCACGTGGATGCCCGGGCACCCGAGC CCGTGGTTAAACTCTAGACGGCACTG >Rosalind_1954 CCGACGAATTTCGTCAAACATTACTTCCTCCTAGAGACACCATCCAGCGGACCAGTCAGT TGGATAACCTGGGCCCCACCAATGACTCATGGCAATACGTTGGTTGCATGCAGAAGCCGC TTGGGAAAGAGGGGGCCTGCATTGTCGAGTTCACGTAATCGCGACTGAGTGCACGTATCG CGCCAGCGGATATCAATTAGATTTCCATCCAGCGACTCTAAACGGCGGCACCCGGGTTTC CTGAGATCAATTGGACAGTCATAAGCATCCCATATCCATACTGTGTTGGTTCACCCACTG CTTGAGAACTGAGTGAAAAGACCCCTCGGATACAGTTTTGCCCATAAATATATAAGCCAG CGAATGTATTCTCCTACCGCGAGGGGACCGTCGAAAGAGTGTCAGACCGTGAGATCCAAA CCCAAATCTCAAAGGTGAAAGCCGCGTGTCTCCCCGCAGAGGAGAGATGAATCCGCGGCA AGTCTTAAACCTCACAGCATGAGTGTCTGGACCCCAAGGGGAACTCAACCGAGTACCCCC GTAGCTCCGTATCACGCCGGCATACAGCAGAGAACCCGCATGGTTTACCAAGTCCACCTG ATTACGACGCTATATACCATTCTTCATAGCGCGAAGGGGTGACGGGGTACCTCCTTGACA CTCCACTGACATGAGGCTAGCGGGTGATGTGCGATAGATGGACCCCTTTGCCCACCAGAT AACCAAAGCGTCCCGCGTCCAATTAGGTGCCCCACATATGGCCTGATTTTCATCCTTCAT ACACTCGTCACAGAGCCGACAAATAATGCACTAAAGTGACTGTTAATAACAGGCAACATC AGTCCTGCAGGCCTATAGTTGCATTAGCGAATATGATCTCAGTGCATGAGTTCGCCAGGG TGGACGTCTAAGACATCCCGCGGGGATCGGAATAAATTTATAGATATCGAGGTCGTTGCC TGAACAACTATGACTGCAGGGTCTAGAGCC >Rosalind_9313 TAGAACGGAAAACCCAGAGGATTTTCAACTTGTAATAGCTCTTCCGACGAATTCCCAGAC GAGCCTCACACAGCGGTCGAAGTCACGATCGGTACCTTAGCTAAGATCTCTACCCCCACC AATAGGGCGTAATCGCTGTTTATCTAACGTAAAGGTGTCGAAAGCGCAAAGCCTTCACCC CCCCGATGTAGTAATGTGAATTTGGGGAAGCAATATCAAGCAATTATCCCAGTCAGCCGC CTGGCGGGACACTTGTGCTAGCGAGGACCATCATTTAGGCTCGCGCAGTTATGCAGTGGC CACCATCAGCAGTTGAGTCGAGTTACCACAGGCGTGCGGTATACCACTTCTAAGGCAACT CTACCATGCTTCTACCCGAAGAGAATTAAACACGATGGAGTTGGTAATGACACAAAATAT AATGATTGTCTAACAGTGGAGATACTTGCTTCTGAATTCTGTTTGCGTGCGTCATAAGCA GGGTGATTTCTGTCTTCCTTCGCGTTATAGGCGTAATGTTTTGATACCCGGCACCACAAA TCAGGAGCTTGGGCTGCCTACCTGAGTAACGGGGTCGGCGCAACTACAGCGGGTTTTAGT AGGAGGACGAACTGGACTCCGAGCTCATCTTGCTGTTCTTGTCTCGGTTCTCCATAAGGT GATAGTTCCTGTGGACCAAGTCTGTGGAGTGCAGGCCCAACCCGCCCGGGTAAACCGGAG TCTTATTCATCCAGAGCCGGAAGTAGGTACTAAGATGACCATTAGAATCTGTCTCATCGA GTTGCGATAACGTAGATGCTAATATCGTTCTCAACATGGAGGGGTCTAATGGAACGAGTG ATATGGGCTCGTGTTTCGGCAACGTGTTCAGAGATTCTGAATTTCTTCCCAGGTCCACGC GCTCGTTCAGGGCGATCCCCCCCAACATTGGGGGCTGGTCGGCGGTACAAAATGGTACTA ACCGCTTGCGGGAATAGGTTTCTTCCAGCGCGG >Rosalind_7181 GTCCGTCTGAGAGGCACGAATTAACAACCCTTTTTACGTATGGGCTCGCGGTAGCTTGTC TTAAACCTGATCCGACCTCTCATTGAGGAAGCTCAACTTTGAATGCGTGACGAGCTTGTC AACTCACCAAACTACTGAGGAGGTCTATAGTCTGGACTGGCGATGGCTTTACCTGAACAA GCTGCCGGGAGTGGCCGGCTGAAACTATGCCCTCCATGTATGGATGTTAGTAGGCTAAAC TCATTTCCGCCGGAAGGTTAGCCGAACCTGCTCTGACCAAGGCTTAAGAGGGTGCTACCC GTGTCCAGCTCAGACCCCGGGGTAGCGCGCCCGCCCGAGCCGCCGGGGTGCTGAGTAGTT ATTAGTTTTGCCCGCCGTGTCAAGGGGTCGTGACTTAGGCATCCGTTCAGAATGAATAGT ATAATTGGGAAGCCCCGGCGCAAACGGCTTCAGTTCGGGCCCGAGATACGTACTCCGAGG TGATTGCTTCTGCATAGGACTTACTTATTCATTGACACACCGTTTATGGACCCCGCGGAG AGGGTGGCATTAAGAGAGAACGATTTCCCCTATTTCTGAAATTCACCGTACTCCCCGGAA GCTTGGTGTGACGGCCAGCGTTCTCCTGAAACCATTCGCAGCGTGCAGGGTATCCTGTTG CCCAACATAAGCAGAAGATAAATACAAATACATTCGTGAGTTTTGCCGCACCGCGTTCGC AGCACTGTACATGTCCATGACCACCTCGGCGTATGTTGGCGCGCGTAAAATCTACGGCGG CGGAGTAGCCATACTAATTAGTTATACCGTGGATTGACATAAAGCGTACGTTTGAAGCGC GCGGGTAACCCGGGGGTACAGCCCAACGCTAGGCAGCATAGTGATAAACCTGACCTCTGC GGTTATTTACCATGTTAATCTCTGCACACTTTCGACTGGGACTCGTTGTACCTTTGGCCC TCTTTAGCGTCGAGGTTTTG >Rosalind_5111 TCCGAGGTGATTGCTTCTGCATAGGACTTACTTATTCATTGACACACCGTTTATGGACCC CGCGGAGAGGGTGGCATTAAGAGAGAACGATTTCCCCTATTTCTGAAATTCACCGTACTC CCCGGAAGCTTGGTGTGACGGCCAGCGTTCTCCTGAAACCATTCGCAGCGTGCAGGGTAT CCTGTTGCCCAACATAAGCAGAAGATAAATACAAATACATTCGTGAGTTTTGCCGCACCG CGTTCGCAGCACTGTACATGTCCATGACCACCTCGGCGTATGTTGGCGCGCGTAAAATCT ACGGCGGCGGAGTAGCCATACTAATTAGTTATACCGTGGATTGACATAAAGCGTACGTTT GAAGCGCGCGGGTAACCCGGGGGTACAGCCCAACGCTAGGCAGCATAGTGATAAACCTGA CCTCTGCGGTTATTTACCATGTTAATCTCTGCACACTTTCGACTGGGACTCGTTGTACCT TTGGCCCTCTTTAGCGTCGAGGTTTTGGTAGACAGCACTAGGTAGCTAGCTGCGCGTGTC GCGACCCCCATAGGGCCCTATTGGACGTCTGGACGAAGTGCGCGTCGGTCTTCGGTGTCG GATGTTTTTGGGCAAGGCACTTAAACGGTCTTGCGGTTCCCAGCATCTCACGCGGTTCCC GTGGATTTGTCTGTATGGAGCTCAAACTTACAACAACGTTGCGGGCGGTAACTTTTGGTG CATCTAACGCTCGATCGGTTTCTCAAGCTGACCTTGAACCGAAGGAAAAGGACTCTAGCG ACGCGGTTATGTTAAACCACTCAGTACAAAATGCGGAGGCATTGATACAACACATGAAGT GGCTCGGAAAACGGATTGCAGAATAATAGCGTGCTATATACCTATTTACTTAGCAGTTCA CTTGGTTGTAGCATATGCAGCTCCTGGACAGCCACTTGCAGATAAGGGATAAAAGAAACG GTAGACAGTCAGGATAGTGAACCATTAGGC >Rosalind_9646 GTTTCACAATCTCAAGCGCCCGGGGTTGGAAGTAGCCTACTGACTACAGCCGATCCTACG CCTAATTGATTAACAGCGGCAGTTACTAGAGTATTTACATATTCACTCAGGACTAGCGCA CTATTGGTTGCTCCCACGTCGGTCGCATACCTTGCTACCTGCTTCTCCAAAGGCAAGGAA TCATGGGACGTAGATGCTACCGAAGACGCGGGAGTGGATCGTTATGAGTTTGGGGGATAA TGGAGGGGATGGAACGAACGCGTACCTCCGACGACTCCGGCTTGTTGTAATTCCAATTAA GCGTTTAACTGTTAGTCCTTCCGTGTTGCCTTCGACAAACTGACAGCCTAAAGTTGCCGT TAGCACACGCTTTCCCATTCTGCACAATGCCACCGCTATCAGACTTGTGATTAGACATAG ATGCCGTTGATATATTGCATGACTTCCTGCTAACTCTGGACATTACCTGTACCCCTAGGC ACGATCAATAGTTATAGGGCCGCTGATCTCCATGGGAACCCGATGACCTACCACGTTCTT CGAGGATCCGATGACCCATCTTAGGTGCGCAAAAGATATTGGCCTTTTCTCCAAGACTGA TCTCGACATATCGCATCCACTTCTCTTTTGGATACCAATCTCTGAGCCAGTAAAATCGTC ATTCACTGTCTCCCTATTACTTCTCTCTAGGGCATCCACATGTGATACTTTTAGTGTGTG GGCGAATCAAGATCCTCCTATACCGCCTATGTCGACGTCAGACGATGCGAAGTCATCAAC GCTTCTCCGTCACACTTCCTTTTGTCGTACATGACCCACAATCGTGGGCCTGAACTCGGT ATTAACTGGGTGTCGAGGAGTACAAAAACTCTAACAAGTATCTTATGATAGCCGCGCGAC CGCAAGGGAATTCATCAGGCGTGAGATAACAAAAGTGCGCTGTCTCTAAATCAAGTTAGC AACTCAATGCTGAAGTACCCCTCGTTGCTGAT >Rosalind_4015 GATGACAACTTGGCCCTAATCTTAGAGAACGGCTATTGGAATTACCCTACTTACGGGGTT ATGTAATCGCTTTGTAAGGTTTGTGGTTCTCGGAATATCAAGTAGATGGTTAGTCGGCCA TGTAGGAATCACGAACCCCGTCACTTCTGGGGCGTCACAGCCCTACCAACTCCGTTTCCA GTGCGTGAACTAGTGAAGATTGCCGGTATTGTAAAGCTCATTTACTCGGGGGCGTGAGTT ACTGCAGTGGACAGGTACTACACTTGCCGTGCAAGGTGAGTTCTTAGCACCTGGCCTTGC GGGGCGGAGCTTGTCGAATTTAGGAACTAATGCTCCATATGATTGTCCTTAAGACCGTGC TGCCAAGTTGTGCATACAGGTAATAGCCCAGGTCGCTCTGCCGTGAAGAGTACTATGTAT TCATCTACTAGTGTGCATTAGAGAAGACGGTTTTGAATGTCCGTCCCGATCCCACTCCAA ACACGACTGTCTCTGTTACGAACGCGCATCGTTCCGATCTTTCGAGCGGAGGTGATCACA TATAGTGTTTTTGAACTAAATTCCCCCTGCTAGTCGTGGCGGTTGTAGTGTGAAGTGTTG CTGACGCTCACGGCTCCTGGTTAGAGGCTCTCCCGTATTCGGGGTTTCAGCCAGAAACTT GAATATACCATGTTAGCGTGGTACGAGGAACGTTCTTACCATACTTATTGAGTTGCCTGC TGGACCTAACTGGTCCGATATTTAAGGATGGCGCGCACAGTAAGCACATATCCATCTGAA GTCATCTTCACATTTTCGTCACAACTCGGATGGCCGGCGGCAACAGTATATTGCGCAATA CCATAGACGTGCAAACAGATGGTCCCGACCACCTGCGACGCACACGTCTACAGAATTCCC CCCCGGTGCTTGACGCGTTATGTGTGTGTCCAAAATTGGGAAAGTGTAGAAATTCTCCAT TAACCCATCATCCGTCACACCTCTTAT >Rosalind_0283 GTAGTCCAGTAACATAAACTGATCTCTCGAATTCCGACCTCTGCGAATGGACGCCAGAGT CTTTTGGCATTGAGTTTGCTTTTTATCCTCTACGCTGCAGTTGGATGGCGATACAGAGGT TCCACGTCGATCCGGGCCATTAATAAATGACTCCCAATGGCTCACAAAACCGTTGTCGCA CATAAAAATGCTTTGACGGCGTGCGTATCTGTGTTGCCTGTAACGACCATCGGGAATTTT ATCAGCAACGCTCTTCCCAGCTATCGACCGAACCCTTGTAATCGTATGTCCTCGCACGCA TGGTGCCATGTCTCCTAACCGTATTAAATTTACTGCGGTCGATTTAGCGAGCCATAACAA TGGCTATTGTGAGCACATTACTATTGGCGATGTCCCACACAGGACCGTAAACCACTTTAT TCCCGTGCCTGAAGTAACGTCATCCGATTTAAAGGGGAAGGGTATCGACCACGATCCTGG CCTTGCGTGGACTTTAAATTTCGTATGTGGTTTGTTCTAAAGTTGTCCTAGGCTCTGGCA CATATATCTCAGTTATTGCCACACGTCGCTAGCGGGATGGCGTGTCGGCGGAAGATAGAA AAATCTGCTACTAAACTGGAAGGTATGAAGGTGCACTATTTGCTGGTAGGTAATGGCGAA GGACTTGGCAAATGCTTGTGATTGGGGGTACTGTATTAGCGCCGGGTCGGCAGGGATGAA ATCCGGGGGGCTTTCTCTGTTTGGTCTAGGCGAGGTAATATTACGACCGAAAGGTGAACT TCGACGAGATCCTGGATCAATGAGCACCAGATGTTTCGCCCCTAGCATTGCACGCGTCAA TCATTGTCGAGCGCTTCCTGCAGCCCGAGTATGCGACTCTCAGTCTCGTGTAACATCCGG GCTCAGTCCTAGCACCAGGATTATACTCCGATGAGACGCCCAACATTGAAGGGGAATCGG CATTGGCCCGACGACGGAATTCACCTACATACAATATTT >Rosalind_5937 TGTAAAGTTTTTGCTTTCGACGGCGGATGATCCCAAAACGAGAAATTAGTGTAGCGGGTG CAAAAGCCTACCGGATCTAACACTGTGGCTAGGGTCCGTCTGTTGCCAGCGGTTATACTT GGGCGGCACGAGATTGACGGCTATAGGACGGATAGATTTAGTGTCCTAAGTCGTATGCGC ATCCAAGCGGTCCTTGTAGAGAGACGATATGGCCCAATGCGCAACAACGGCCTTCAGCAA GCTCCATAGCATACCGACGAATTTCGTCAAACATTACTTCCTCCTAGAGACACCATCCAG CGGACCAGTCAGTTGGATAACCTGGGCCCCACCAATGACTCATGGCAATACGTTGGTTGC ATGCAGAAGCCGCTTGGGAAAGAGGGGGCCTGCATTGTCGAGTTCACGTAATCGCGACTG AGTGCACGTATCGCGCCAGCGGATATCAATTAGATTTCCATCCAGCGACTCTAAACGGCG GCACCCGGGTTTCCTGAGATCAATTGGACAGTCATAAGCATCCCATATCCATACTGTGTT GGTTCACCCACTGCTTGAGAACTGAGTGAAAAGACCCCTCGGATACAGTTTTGCCCATAA ATATATAAGCCAGCGAATGTATTCTCCTACCGCGAGGGGACCGTCGAAAGAGTGTCAGAC CGTGAGATCCAAACCCAAATCTCAAAGGTGAAAGCCGCGTGTCTCCCCGCAGAGGAGAGA TGAATCCGCGGCAAGTCTTAAACCTCACAGCATGAGTGTCTGGACCCCAAGGGGAACTCA ACCGAGTACCCCCGTAGCTCCGTATCACGCCGGCATACAGCAGAGAACCCGCATGGTTTA CCAAGTCCACCTGATTACGACGCTATATACCATTCTTCATAGCGCGAAGGGGTGACGGGG TACCTCCTTGACACTCCACTGACATGAGGCTAGCGGGTGATGTGCGATAGATGGACCCCT TTGCCCACCAGATAACCAAAG >Rosalind_6918 GAGGTCCGCAATCGTCGGATGTGCCTTGCCCGTATTAATCCTTTCGGGACTCTCCCCGCT TCTAGAAAAAGCATTCGAAAACCAGGGCTCCTTTTATGTTCACCCCTTGCGGGTCAAAGG TGGAACAAGCTGCTAGGACCTTTTCGTACAGGGAAACTAGTAGTGCTGCAGGCACTGTTG TTATCGTTGAGGGTCGCATTAGTGAGACGGGGCGGTAGGGGCCGCTTCGCGGTGGATGTG ATGGTACATCACGCTCCTTATGCGGTCAGGGCTAGAAGCCGACTTCGCGGGATTTACTTA TTGGAATCCAACCATGCATAATACAGAGTGTACGGCACTAAACACGTTGGGAACTCTGTT GGTTGATGCTATCTTTGGCACCTACGTGGCGGGAAGAAATTCAGAAGGGATCTAGGACAC GGTGTACAGCGTGAACCCGCTCGACGGTGCGGATATATGATCTATTGCGGAGAATGCCTG CCAAACTCGCCCCGCCGTTTTGTCGAGGCTTTTACCTTAGAGGTGTCGGAAGTTGCTCGG AAGTTAGCGTTTGTTTATTTAGTAACCCATAACTTAACTGTTAGTTAGCGAGAGGGAGTC GAAGCCCAATGGCGGGCAGGCAGTGCAATTGATGATCGCTTTGAGGATTGATCTTAGATA CAACTTTATTGTATACGCGCTGGTGCTATTAACCAGCATGTGCTTGATAATGTTCACGCC GCTGTCGGGTAATCCATCAGGTACTACAACAGAGGTGGGCTGAATGCGGAGCTGGAACTG ACAATGAAAGTCAGTGTAGGGTGCGCTGTATGGGCGCGATGGTGCACAAGCCAACCGGTG CTAACAAACTCAGGGGGACCTTACCGCAACACGGAGTTGTTACAGAGTTGTGATAGCGAT TTTTCGGACATGGTAGCAGAAAGACCATACAAATCACAAATCAACCGGCCGGACCACCGC TGTTACGTATGTGATCTATTTCTAACCGCAT >Rosalind_6693 GTGCAACCAATTTACTTTTCTATTACTCATTGGGAGAACATTATGGAATGCAACTTGGGG CAAGCATTGTCTTCGAGCCATGGTTTAAGCTCCTGACGCGGGTATAATTATCCCCTGCAT GTACGCAGGGCGGTCGCTGGACAGTGCACCCGGAAGAAGGACGAGAGGTCTGATTGTGCT TGCGCGACCATGGTCCGAGCGAAATGGCGCATTTTTTTTTTAGCCTTAGACGAGAGCAAC ACGGCTTCTCTGGCTCGCGAGTGACCGTCTGGGATCCCGTTAGGCGAGCACTTTGCCATT TCTTATGTATGTTCCACCTGGGGAGAGGTCCGGTGTTTCTCTAGCCACACATTGACGTGT GAGGCGGGTACACCCCGCGATGACGGTTGGAAGCACTCGATGTCTCCCTAAATGACCAAG CTCGCAGGTCCAGTGGTTCGAATTGTCTCATGACCTAAACCGCGATACCATGACAACTCC AGTCCCAACATGGAAGAAAAGCACTGAGTGGCCTCATCCAATATTGGTAGGTGTTACTGC CCATTAGCGGCATTACCACTCGAGTGTCTTTACTAAACGCTGAGTAGTTCTAACTTTGAA AATGCTCCAAGTCGATTAGTATAGATTGTAAACGCGTAAGTACGAACCTTGACAAGCGAA GCGAAATTCTCGACCGACATTGGGAGGACAACAATGAAGTACGTTATCGGACGTAATTTA AGAGTCGCTAGTGCGCGATTTGCTTCCATGGTGACGACCTCACCCCATCTAGTCGCTTGG CGCGAGCTTCTTTACTCTCTACTCCTCATTAACGGTGGGAGAGCTGGGGGTAAGAGAACT ACTGCAGCTACATTAACTTCCATACTCAATCTGGCCCTTTACCTACAGGAAGCGTTAGAG GATGTCATGAGCGTGGATTGTGCCCTTCGATTTAGGACAGCCATTGAGGGTCTGCTTCCC CAGCATCTTTTACACGCGGGGCC >Rosalind_0427 AATCTACGGCGGCGGAGTAGCCATACTAATTAGTTATACCGTGGATTGACATAAAGCGTA CGTTTGAAGCGCGCGGGTAACCCGGGGGTACAGCCCAACGCTAGGCAGCATAGTGATAAA CCTGACCTCTGCGGTTATTTACCATGTTAATCTCTGCACACTTTCGACTGGGACTCGTTG TACCTTTGGCCCTCTTTAGCGTCGAGGTTTTGGTAGACAGCACTAGGTAGCTAGCTGCGC GTGTCGCGACCCCCATAGGGCCCTATTGGACGTCTGGACGAAGTGCGCGTCGGTCTTCGG TGTCGGATGTTTTTGGGCAAGGCACTTAAACGGTCTTGCGGTTCCCAGCATCTCACGCGG TTCCCGTGGATTTGTCTGTATGGAGCTCAAACTTACAACAACGTTGCGGGCGGTAACTTT TGGTGCATCTAACGCTCGATCGGTTTCTCAAGCTGACCTTGAACCGAAGGAAAAGGACTC TAGCGACGCGGTTATGTTAAACCACTCAGTACAAAATGCGGAGGCATTGATACAACACAT GAAGTGGCTCGGAAAACGGATTGCAGAATAATAGCGTGCTATATACCTATTTACTTAGCA GTTCACTTGGTTGTAGCATATGCAGCTCCTGGACAGCCACTTGCAGATAAGGGATAAAAG AAACGGTAGACAGTCAGGATAGTGAACCATTAGGCACTATGAACCGGAATGGGATAGGTT TCGTAATTCCAACTATCGGTTGTTCGATCACCGTTTGACGGGAATTTCGTCTCGCCAGTA TCACCAGCGCGAGAAGCATGATGTACGAGATTAAGATCTATAGCAGCGCCTGCTCAACAG CCTAATCACCTTGCTCGGCGAGGAGCATTAAAGCGAATACAGTTAACTGCATACACGCAT ACAAGGAGTGAATTGTGACGCATGGCGCTCTAAGCAATGAGTATAGCATGTAGCGTTACA TTGCTCTTATAGGGGGCTGCGGGGGAACCT >Rosalind_4698 TTGCAATGAAAAACTACTTCCTGAGCTCTGGCATGTATGTTTAGAATCTAGTGTTGTAGG GCTAAAATCAGGCATGCTCTGAGAGTCACAATCACAACCCGCGGCACCTGCAGGGAGTTG GCCATAAATAACCCACTAGCCACAGTTGCGCGGGACAGTTTCCCCTCCGAGTGACAAGTC GAACGCCGGTTGCGGTCTTCGTAACCCAGGCTTTTTGATGTATTGGGTTATGCCCCCCCA TAGCGACATGTTCGGAATTCCAACCTACAAGCTCGAATAGCCTGCGGCATGAATGACTAA GAATAACGACCGAGATTTTGGTCAAGGAGGAAATATTTAGGACCACCACGTTTTATCCAA CTCAGGTTTTTAACCTAATTACGACAGATCTTGGGATCCTCGTTTAGATTCACAACGTGT TAAATAATGCCTGGCGAGCCGTTTAGCGTGCAAGAGTCGGTACAGTGGACAGAAACTTTT GTGCCCCCACGCCTATCTATCTACCGGACTGAAAACTGATATTTATCGTCTTGATATCAA GTTTAATTTGGCGATTTCAGCCAGAAGCGGGAAGCAACAACGTCACTGCGGAGACTAACC AGTACGAAACCTCACTATAGGCCGAGACGCCAGACGTTAACAACGGATCTGATCAAAACA CGTGGCATAGACGCGCCACTGATGATCACTGTCAGGATAGTCCAATGCGGGCGTAAGGTG CACTGAGCGAGGTTCAAAAGTGCCGAAAACGCCCCGATTGCTGTCGCGGTGACCTACTTC TTAAATCCCCGCTATAGAGATATTGTTTTCAATTCGAACCCTTACTATGAGACCCTGTCA GATCAATTCGGACAGTCATCTCGGTACAACAGAAGGGAGAACCTCCAAAGCTCACCAAGC ATTCGATAACAGGAGTCTACGAAGGATTTGCACACTTGGGCCAAATCCGGAGCAGTAAGG TGTCGATCCGCATCTACGCGTGTTGAAGCGGATCCTC >Rosalind_8680 AACAGATCGTATATACACAGAAGACAAAGTAATGACTGAGAGTGCATGGTATTACTCGAT TTTTCTCATCTCTTTACATGGCCATCAGAACTGTTGCGGATGATACGCACACCTTCTCGT TTTTGGCATTGACGCCTCCCTGTGTTATATCGAGCATAATGCTGCACTTCGGTCTCAAGC ATAGCATGTATGGGAGGCGGGCAGTGGAAAAAGCCCTTCAGTCGATCGACGCCACCGCAC CGGGATATAAAGGTTCGGCCCAGGACTAGACCCCAGCGTTGCACGCCCTTGTCCTACTGA TACTAAGCGTGTGCGCGTACCAATTCCCGTGACTATTAGACGAATGTTTCACAATCTCAA GCGCCCGGGGTTGGAAGTAGCCTACTGACTACAGCCGATCCTACGCCTAATTGATTAACA GCGGCAGTTACTAGAGTATTTACATATTCACTCAGGACTAGCGCACTATTGGTTGCTCCC ACGTCGGTCGCATACCTTGCTACCTGCTTCTCCAAAGGCAAGGAATCATGGGACGTAGAT GCTACCGAAGACGCGGGAGTGGATCGTTATGAGTTTGGGGGATAATGGAGGGGATGGAAC GAACGCGTACCTCCGACGACTCCGGCTTGTTGTAATTCCAATTAAGCGTTTAACTGTTAG TCCTTCCGTGTTGCCTTCGACAAACTGACAGCCTAAAGTTGCCGTTAGCACACGCTTTCC CATTCTGCACAATGCCACCGCTATCAGACTTGTGATTAGACATAGATGCCGTTGATATAT TGCATGACTTCCTGCTAACTCTGGACATTACCTGTACCCCTAGGCACGATCAATAGTTAT AGGGCCGCTGATCTCCATGGGAACCCGATGACCTACCACGTTCTTCGAGGATCCGATGAC CCATCTTAGGTGCGCAAAAGATATTGGCCTTTTCTCCAAGACTGATCTCGACATATCGCA TCCACTTCTCTTTTGGATACCAATCTCTGAGCCAGTAAA >Rosalind_7868 ATCCAGCGGTGGTATTCTCAACATAAATCCCTTTCCCTCCACTGGATATGATTCCTCACC CGCCAGGGGTTCAAACCAGTTGGTCTGTACGCGTAAACACTGCCGCAAAAGCGAGCCAAT TATGAGCGTCCCCCGAGAAAGGAGATTCGCGCATCGTACCATAGCAAGGCGGGCAGAGTT TCAATCTCCTTATAACATAGTAGGGTCATACGAATCAGTTGCAGTTGGCTCTGGTTGTGA TGATTTAGCACGGTGTATGATGCATATTGGGATAGAAGATTACTCAAAGTCAAATCCTGT TCCGCCCTCCACACAAAATACGCTGCGGTATTTGACCGAAGGCGTCGAGAAACCACAAGC AGTGGCGGCTGAGGGCCTGGCGCACATAAGGTGAATCATCGTTCTATTGATGGCAATCGA TAAGGGGGTGTGTGTCGAACCTCAGAGTGTGGACAGCAAGATCGGCTGAAGGAGGATAGC ATCTACAGACCCAGACAGTCGATATGGGCAGTAATTTAAGGGGACAGCCCTTGATCCGGT ACTGTGTGTCCCTCAACCAAGGAAATGTGCAAAACCGCGATGATCGTTACTTGGTTATAT TGAAGCTCAGTCAAGTGGCGACAGAAGCTTAGTTTGCACCTCTATGCGTCTTGCCAATCC GGCCAGCGCCCCCAGAGGAAGTGCTCTGCAACTCCCTTACCCCTTTTTTAAATACTTGAG TCAGATCTGTATTAAGAGAAGGCGTTCGGAGTGTACGTCATTACCGGAATTTACCTGGAC GCCGGGTGAAGAAGCGAGTAAACCTCCCTGTAAGGTTCCGACTCGAAGCATCCCCCCCCC ATTTCGACTCTGAAACTCTCACGCGTAGTTGTATATTAAGGCGTACTCACACGTCAACTT TCGAGCCTAGACGCCAGTGCCTGATTTAGCCGTACAGTATAGCCGTTGCGGGAGTAACTT ATGTACGGTGGGGAATTGCAA >Rosalind_7920 AAGGGGGTGTGTGTCGAACCTCAGAGTGTGGACAGCAAGATCGGCTGAAGGAGGATAGCA TCTACAGACCCAGACAGTCGATATGGGCAGTAATTTAAGGGGACAGCCCTTGATCCGGTA CTGTGTGTCCCTCAACCAAGGAAATGTGCAAAACCGCGATGATCGTTACTTGGTTATATT GAAGCTCAGTCAAGTGGCGACAGAAGCTTAGTTTGCACCTCTATGCGTCTTGCCAATCCG GCCAGCGCCCCCAGAGGAAGTGCTCTGCAACTCCCTTACCCCTTTTTTAAATACTTGAGT CAGATCTGTATTAAGAGAAGGCGTTCGGAGTGTACGTCATTACCGGAATTTACCTGGACG CCGGGTGAAGAAGCGAGTAAACCTCCCTGTAAGGTTCCGACTCGAAGCATCCCCCCCCCA TTTCGACTCTGAAACTCTCACGCGTAGTTGTATATTAAGGCGTACTCACACGTCAACTTT CGAGCCTAGACGCCAGTGCCTGATTTAGCCGTACAGTATAGCCGTTGCGGGAGTAACTTA TGTACGGTGGGGAATTGCAAGTGGCACTTCGTATTCAGTTCACGTGGAGAAATTTTAAAA GTCGTAAGGGGGGAAGATTCTACAAAGTCATTTTTCGATACCACCGCTGACACCCGGACA ACTATGATTCCCGAGTCGCCTCAGGGGGCTCCAGTCGTAAACGGGCCAACGGACGTCAGT ATAAACTGCGCCAACATGGTTGTGATTCATTACAATTCGACTTACCGTAATTTATTAACC CTTTATGGTTATAAAAGGCACCGTCCGGGTATCAGTGAGGACTTCCTGGTCCGCGTCTTG CGCCATATAGTCCATGTGTATGTAGATACGGGCGGGTCTGATGTATGGCGAAAATTTGTT CAACGGACGACAAGGGATAAGGTACGCATTTGCATCTACGCTGTGTCCTACTCGCGCGTG CGCTAGTAGGTGGGTGAAATCGATGTCATTGGCC >Rosalind_5797 TCACCAGCGCGAGAAGCATGATGTACGAGATTAAGATCTATAGCAGCGCCTGCTCAACAG CCTAATCACCTTGCTCGGCGAGGAGCATTAAAGCGAATACAGTTAACTGCATACACGCAT ACAAGGAGTGAATTGTGACGCATGGCGCTCTAAGCAATGAGTATAGCATGTAGCGTTACA TTGCTCTTATAGGGGGCTGCGGGGGAACCTCACATTCCGACCTATATCTTCACTGTGTGA AGTATATGAGTTGGACGGCTCTGGGCCTCAAGTCTTGTCGTTGAACCTCAGAGCAAGCTG GCTCGGGACATTATTACCCGGAGTTTGGGCGCCCCGCCGGATGTAGCCCTCACGTTGTTG TGTAGATGTTGTAGCTCCTGGTAAACAGTCGTGTTCTACACACTTCCGTTAACAATATGT CGGCGTATGTTCCCGAAATTCAGACTGGCCGTGAAGCAAGTCGCGTATGAGGGGCGGTGT ATTGTTTTCTGCTCACTTGTATTGCTGCGTGCGCTATCGGATGATATATACAAATGGCTG GAGCGCGCACCAATGAAAAATACTCGAATACCTGGTTAGCAGGACCCCTGACATTCGTTC TAAATGTCGCGGGCGGACTCGATCCACCTGTCACCCGCAGCATGATCGGCTGTGTGGTGG CAAGTTTTGATGGAGTCATTGATCTGCCGTGCTGACTGCTTGTGTACCCCTGGAGTCCGG TCCTGTTTTTCGCCCTAATCCATGGGCTACAGAATACGTAGCATGACCGGTTGATTGGCA TTCCGTACTATCCAGCATATACAGGGCTCGTATGTTCTACGGCTAGATCGCTCACGTTAG GTTCAACCGATATACTTCATAAAGGAAAAGACGCGCCTCGAACTACGAGCAGCCCGGTTC CGGGCAGGGCCAACGGCATAAAATTACGGACGCGTGAACGCGAGGAACGCCATCTCACGT GCAACCAATTTACTTTTCTATTACT >Rosalind_6490 TGGACAGAAACTTTTGTGCCCCCACGCCTATCTATCTACCGGACTGAAAACTGATATTTA TCGTCTTGATATCAAGTTTAATTTGGCGATTTCAGCCAGAAGCGGGAAGCAACAACGTCA CTGCGGAGACTAACCAGTACGAAACCTCACTATAGGCCGAGACGCCAGACGTTAACAACG GATCTGATCAAAACACGTGGCATAGACGCGCCACTGATGATCACTGTCAGGATAGTCCAA TGCGGGCGTAAGGTGCACTGAGCGAGGTTCAAAAGTGCCGAAAACGCCCCGATTGCTGTC GCGGTGACCTACTTCTTAAATCCCCGCTATAGAGATATTGTTTTCAATTCGAACCCTTAC TATGAGACCCTGTCAGATCAATTCGGACAGTCATCTCGGTACAACAGAAGGGAGAACCTC CAAAGCTCACCAAGCATTCGATAACAGGAGTCTACGAAGGATTTGCACACTTGGGCCAAA TCCGGAGCAGTAAGGTGTCGATCCGCATCTACGCGTGTTGAAGCGGATCCTCGACCGTTA ACCCACGGCCGCTTCGTTAGTCGATCCTCATGAAGAGATTGATACGCGCTGAATGCCGTG CTAGTCCGTCTGAGAGGCACGAATTAACAACCCTTTTTACGTATGGGCTCGCGGTAGCTT GTCTTAAACCTGATCCGACCTCTCATTGAGGAAGCTCAACTTTGAATGCGTGACGAGCTT GTCAACTCACCAAACTACTGAGGAGGTCTATAGTCTGGACTGGCGATGGCTTTACCTGAA CAAGCTGCCGGGAGTGGCCGGCTGAAACTATGCCCTCCATGTATGGATGTTAGTAGGCTA AACTCATTTCCGCCGGAAGGTTAGCCGAACCTGCTCTGACCAAGGCTTAAGAGGGTGCTA CCCGTGTCCAGCTCAGACCCCGGGGTAGCGCGCCCGCCCGAGCCGCCGGGGTGCTGAGTA GTTATTAGTTTTGCCCGCCGTGTCAAGGGGTCGTGAC >Rosalind_3777 CGAAGGGCCTTGATTTTTTATCAGGACGTCGGGTCGTTCACCTATGCCCATAAGGCCATT GGGGGGTTACGTCCACAGGACCTCTCTTTCCCCAATGATAATATGGCTATGGAACGGAGA GTTTGAAGCAGTGTGTAGGGGGTCCCGTCCCCACTGGACCTACAGGCTTACGTATTATCG TTACTGCTAATTCGCGATTGTGACGATTTCCTGTCACGTGGATGCCCGGGCACCCGAGCC CGTGGTTAAACTCTAGACGGCACTGAGACTGTCGTCCCGGGGCGGCTAAACGACCTGGGT CGCGCGCGATTGCAATTCCCACCCTGGAGCAAACACTTGGCACGCTGTTATTAACATGAC GGACCTCGTGTAAAGTTTTTGCTTTCGACGGCGGATGATCCCAAAACGAGAAATTAGTGT AGCGGGTGCAAAAGCCTACCGGATCTAACACTGTGGCTAGGGTCCGTCTGTTGCCAGCGG TTATACTTGGGCGGCACGAGATTGACGGCTATAGGACGGATAGATTTAGTGTCCTAAGTC GTATGCGCATCCAAGCGGTCCTTGTAGAGAGACGATATGGCCCAATGCGCAACAACGGCC TTCAGCAAGCTCCATAGCATACCGACGAATTTCGTCAAACATTACTTCCTCCTAGAGACA CCATCCAGCGGACCAGTCAGTTGGATAACCTGGGCCCCACCAATGACTCATGGCAATACG TTGGTTGCATGCAGAAGCCGCTTGGGAAAGAGGGGGCCTGCATTGTCGAGTTCACGTAAT CGCGACTGAGTGCACGTATCGCGCCAGCGGATATCAATTAGATTTCCATCCAGCGACTCT AAACGGCGGCACCCGGGTTTCCTGAGATCAATTGGACAGTCATAAGCATCCCATATCCAT ACTGTGTTGGTTCACCCACTGCTTGAGAACTGAGTGAAAAGACCCCTCGGATACAGTTTT GCCCATAAATATATAAGCCAGCGAATGTATTCT >Rosalind_1854 ATCCGACGAAAACGGTGGTGTCCACTGAGGCTGGTGTGAGCATCACGGATTGGTTTACCT CCCATAGAGTGCCGCAACTCCCTGTCGAGGCTACGAGATTCTCTCCACATCGGCGATCTG CTCGTTGGAACTGGCCCAGAGTGTAGGTCAACCCCTGTGGCCAACTGCTGACGCGTGATT GGTGCTCACCCTGGAACCATCAAGATTGAGTTATGCCTGAAAAGTCAGTTGCTAACCGCC ATTAGCATAACACAATTAGAATCAGGCCCGTACGAGTTTAAAAGCAGTAAGACCCCGATG ACTTGTAGAGCGCGAGCGTCGGCTATAATCCTGCTAGGAGTGAGGGATGATCTAAAAAAT GGGGTGAAAGACTATAACTGGGCAAGCTAACTGAGGAGGCCTGGAAATGATGAGTTCACC CCACAACTAAACGCGAGTCTTCGCGATTGTGTGCCGTCTGTCTTGGAATGTTTAAAGCGG TAGTGCTGCCTCCTGCCATAGAGCCCTACCCCACCTATGCGGTCTCATCAAGCTACATGC TGGAGGTCACCTATTGTCTGGCTTTGATTAAGCTTGATCCCTAGACAAGGAACGTGTGGC GATTACGTTCAGTATAGGCGGAAGAATCCACGGCCCGGGACTCACCAGACTCCCTACACA AAGGGCGTTTGCCCCTCGTCACCACGTTGAACAGAAGGATAAAAGGTGTAGGATCTATAC CCAGGCGGATAGCCTGTGTTGACTCTCTGCCAGCTGAGGTTGGAAAGTGATTTTTTGAAC TTACGAGTTGGTTTACGACGTTCTGGTGGCCCCATCAATTCACGATCCTCCGTTGGGCCC GTCCACAAGGGCTAAGTCACAGTAGGCGGTCTAGTTCAAAACCACTCACCCCCTGCGCAT TTTCGTAGGGTTCTACTAACTAGTTTCTATCTAGTCACGTCACATCTGTCATCGGGACGT CATGGACGTGAACGGCACTAATGG >Rosalind_4456 ACGTTGTTGTGTAGATGTTGTAGCTCCTGGTAAACAGTCGTGTTCTACACACTTCCGTTA ACAATATGTCGGCGTATGTTCCCGAAATTCAGACTGGCCGTGAAGCAAGTCGCGTATGAG GGGCGGTGTATTGTTTTCTGCTCACTTGTATTGCTGCGTGCGCTATCGGATGATATATAC AAATGGCTGGAGCGCGCACCAATGAAAAATACTCGAATACCTGGTTAGCAGGACCCCTGA CATTCGTTCTAAATGTCGCGGGCGGACTCGATCCACCTGTCACCCGCAGCATGATCGGCT GTGTGGTGGCAAGTTTTGATGGAGTCATTGATCTGCCGTGCTGACTGCTTGTGTACCCCT GGAGTCCGGTCCTGTTTTTCGCCCTAATCCATGGGCTACAGAATACGTAGCATGACCGGT TGATTGGCATTCCGTACTATCCAGCATATACAGGGCTCGTATGTTCTACGGCTAGATCGC TCACGTTAGGTTCAACCGATATACTTCATAAAGGAAAAGACGCGCCTCGAACTACGAGCA GCCCGGTTCCGGGCAGGGCCAACGGCATAAAATTACGGACGCGTGAACGCGAGGAACGCC ATCTCACGTGCAACCAATTTACTTTTCTATTACTCATTGGGAGAACATTATGGAATGCAA CTTGGGGCAAGCATTGTCTTCGAGCCATGGTTTAAGCTCCTGACGCGGGTATAATTATCC CCTGCATGTACGCAGGGCGGTCGCTGGACAGTGCACCCGGAAGAAGGACGAGAGGTCTGA TTGTGCTTGCGCGACCATGGTCCGAGCGAAATGGCGCATTTTTTTTTTAGCCTTAGACGA GAGCAACACGGCTTCTCTGGCTCGCGAGTGACCGTCTGGGATCCCGTTAGGCGAGCACTT TGCCATTTCTTATGTATGTTCCACCTGGGGAGAGGTCCGGTGTTTCTCTAGCCACACATT GACGTGTGAGGCGGGTACACCCCGCGATGACGGTTG >Rosalind_1072 TACGAGTTGGTTTACGACGTTCTGGTGGCCCCATCAATTCACGATCCTCCGTTGGGCCCG TCCACAAGGGCTAAGTCACAGTAGGCGGTCTAGTTCAAAACCACTCACCCCCTGCGCATT TTCGTAGGGTTCTACTAACTAGTTTCTATCTAGTCACGTCACATCTGTCATCGGGACGTC ATGGACGTGAACGGCACTAATGGGCTACCTATGTTTACCTCCCAAACTGCCAGAAGCATC CGACGAAAACACGTAGGTACCATCCAGCGGTGGTATTCTCAACATAAATCCCTTTCCCTC CACTGGATATGATTCCTCACCCGCCAGGGGTTCAAACCAGTTGGTCTGTACGCGTAAACA CTGCCGCAAAAGCGAGCCAATTATGAGCGTCCCCCGAGAAAGGAGATTCGCGCATCGTAC CATAGCAAGGCGGGCAGAGTTTCAATCTCCTTATAACATAGTAGGGTCATACGAATCAGT TGCAGTTGGCTCTGGTTGTGATGATTTAGCACGGTGTATGATGCATATTGGGATAGAAGA TTACTCAAAGTCAAATCCTGTTCCGCCCTCCACACAAAATACGCTGCGGTATTTGACCGA AGGCGTCGAGAAACCACAAGCAGTGGCGGCTGAGGGCCTGGCGCACATAAGGTGAATCAT CGTTCTATTGATGGCAATCGATAAGGGGGTGTGTGTCGAACCTCAGAGTGTGGACAGCAA GATCGGCTGAAGGAGGATAGCATCTACAGACCCAGACAGTCGATATGGGCAGTAATTTAA GGGGACAGCCCTTGATCCGGTACTGTGTGTCCCTCAACCAAGGAAATGTGCAAAACCGCG ATGATCGTTACTTGGTTATATTGAAGCTCAGTCAAGTGGCGACAGAAGCTTAGTTTGCAC CTCTATGCGTCTTGCCAATCCGGCCAGCGCCCCCAGAGGAAGTGCTCTGCAACTCCCTTA CCCCTTTTTTAAATACTTGAGTCAGATCTGTATT ''' seqs = read_fasta(raw_data) str_list = list() for s in seqs: sequence = s.sequence str_list.append(sequence) while(len(str_list) > 1): str_list = assembly_seqs(str_list) print str_list[0]

56.087701

140

0.970958

1,128

52,442

45.060284

0.844858

0.001417

0.000649

0.00059

0.000748

0

0.004655

0.024999

52,442

935

141

56.087701

0.989419

0.003661

0

0.006466

0

0.978525

0.94658

0

1

0

null

0

0.001078

null

0.001078

0

1

null

0

1

null

1

0

1

0

5

6d63f2cf0fe5f89e2d021df48996ea535e0cf609

118

py

Python

gallry/admin.py

Evan-cell/gallery

4850f9927bc5f8f6827822db42961a8ded9cb602

[ "Unlicense" ]

null

gallry/admin.py

Evan-cell/gallery

4850f9927bc5f8f6827822db42961a8ded9cb602

[ "Unlicense" ]

null

gallry/admin.py

Evan-cell/gallery

4850f9927bc5f8f6827822db42961a8ded9cb602

[ "Unlicense" ]

null

from django.contrib import admin from .models import photos # Register your models here. admin.site.register(photos)

19.666667

32

0.805085

17

118

5.588235

0.647059

0

0.127119

118

5

33

23.6

0.92233

0.220339

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6d6563b6144baa325015131b124c60ed7816c047

43,569

py

Python

rihanna_bot/rihanna_tfl.py

emylincon/chatbot

60bf7ab8bda0f4207cdd61e15d798ab1bbdad895

[ "MIT" ]

null

rihanna_bot/rihanna_tfl.py

emylincon/chatbot

60bf7ab8bda0f4207cdd61e15d798ab1bbdad895

[ "MIT" ]

6

2021-03-19T16:09:50.000Z

2022-03-12T00:55:40.000Z

rihanna_bot/rihanna_tfl.py

emylincon/chatbot

60bf7ab8bda0f4207cdd61e15d798ab1bbdad895

[ "MIT" ]

null

import urllib.parse import requests import config import datetime as dt from selenium import webdriver import traceback, sys ''' main_api = "https://api.tfl.gov.uk/" json_data = requests.get(main_api).json() print(json_data[0]['lineStatuses'][0]['statusSeverityDescription']) a = [ {'$type': 'Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities', 'id': 'victoria', 'name': 'Victoria', 'modeName': 'tube', 'disruptions': [], 'created': '2019-11-12T13:42:45.39Z', 'modified': '2019-11-12T13:42:45.39Z', 'lineStatuses': [{'$type': 'Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities', 'id': 0, 'statusSeverity': 10, 'statusSeverityDescription': 'Good Service', 'created': '0001-01-01T00:00:00', 'validityPeriods': []}], 'routeSections': [], 'serviceTypes': [{'$type': 'Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities', 'name': 'Regular', 'uri': '/Line/Route?ids=Victoria&serviceTypes=Regular'}, {'$type': 'Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities', 'name': 'Night', 'uri': '/Line/Route?ids=Victoria&serviceTypes=Night'}], 'crowding': {'$type': 'Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities'}} ] print(a[0]) ''' b = [ { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "bakerloo", "name": "Bakerloo", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.383Z", "modified": "2019-11-12T13:42:45.383Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=Bakerloo&serviceTypes=Regular" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } }, { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "central", "name": "Central", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.38Z", "modified": "2019-11-12T13:42:45.38Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=Central&serviceTypes=Regular" }, { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Night", "uri": "/Line/Route?ids=Central&serviceTypes=Night" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } }, { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "circle", "name": "Circle", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.38Z", "modified": "2019-11-12T13:42:45.38Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=Circle&serviceTypes=Regular" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } }, { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "district", "name": "District", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.39Z", "modified": "2019-11-12T13:42:45.39Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=District&serviceTypes=Regular" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } }, { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "hammersmith-city", "name": "Hammersmith & City", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.403Z", "modified": "2019-11-12T13:42:45.403Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=Hammersmith & City&serviceTypes=Regular" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } }, { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "jubilee", "name": "Jubilee", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.383Z", "modified": "2019-11-12T13:42:45.383Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=Jubilee&serviceTypes=Regular" }, { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Night", "uri": "/Line/Route?ids=Jubilee&serviceTypes=Night" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } }, { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "metropolitan", "name": "Metropolitan", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.38Z", "modified": "2019-11-12T13:42:45.38Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=Metropolitan&serviceTypes=Regular" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } }, { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "northern", "name": "Northern", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.38Z", "modified": "2019-11-12T13:42:45.38Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=Northern&serviceTypes=Regular" }, { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Night", "uri": "/Line/Route?ids=Northern&serviceTypes=Night" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } }, { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "piccadilly", "name": "Piccadilly", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.397Z", "modified": "2019-11-12T13:42:45.397Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=Piccadilly&serviceTypes=Regular" }, { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Night", "uri": "/Line/Route?ids=Piccadilly&serviceTypes=Night" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } }, { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "victoria", "name": "Victoria", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.39Z", "modified": "2019-11-12T13:42:45.39Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=Victoria&serviceTypes=Regular" }, { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Night", "uri": "/Line/Route?ids=Victoria&serviceTypes=Night" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } }, { "$type": "Tfl.Api.Presentation.Entities.Line, Tfl.Api.Presentation.Entities", "id": "waterloo-city", "name": "Waterloo & City", "modeName": "tube", "disruptions": [], "created": "2019-11-12T13:42:45.38Z", "modified": "2019-11-12T13:42:45.38Z", "lineStatuses": [ { "$type": "Tfl.Api.Presentation.Entities.LineStatus, Tfl.Api.Presentation.Entities", "id": 0, "statusSeverity": 10, "statusSeverityDescription": "Good Service", "created": "0001-01-01T00:00:00", "validityPeriods": [] } ], "routeSections": [], "serviceTypes": [ { "$type": "Tfl.Api.Presentation.Entities.LineServiceTypeInfo, Tfl.Api.Presentation.Entities", "name": "Regular", "uri": "/Line/Route?ids=Waterloo & City&serviceTypes=Regular" } ], "crowding": { "$type": "Tfl.Api.Presentation.Entities.Crowding, Tfl.Api.Presentation.Entities" } } ] def tfl(message): if message[:23] == 'tfl tube service report': reply = tfl_tube_status() return reply elif message[:25] == 'tfl journey duration from': # e.g tfl journey duration from se1 5hp to se18 3px detail = message.strip().lower()[25:].split(' to') # print(detail[0].strip(), detail[1].strip()) reply = journey_duration(detail[0].strip(), detail[1].strip()) return reply elif message[:21] == 'tfl live arrivals for': # e.g tfl live arrivals for 53 at dunton road detail = message.strip().lower()[21:].split(' at') reply = get_timetable(detail[0].strip(), detail[1].strip()) return reply elif message == 'tfl find tube station on map': return tfl_find_station() else: reply = "Yes I know" return {'display': reply, 'say': reply} def get_naptan_id(station_id): query = f"https://api.tfl.gov.uk/Stoppoint/{station_id}" # print(station_id) json_data = requests.get(query).json() nap_ids = [] for i in json_data["lineGroup"]: try: nap_ids.append(i["naptanIdReference"]) except KeyError: continue # return json_data["lineGroup"][0]["naptanIdReference"] # print("id: ", nap_ids) return nap_ids def get_bus_station_id(station): query = "https://api.tfl.gov.uk/StopPoint/Search/" query += station json_data = requests.get(query).json() """ sample data structure {"$type":"Tfl.Api.Presentation.Entities.SearchResponse, Tfl.Api.Presentation.Entities","query":"Green Park Underground Station","total":1,"matches":[{"$type":"Tfl.Api.Presentation.Entities.MatchedStop, Tfl.Api.Presentation.Entities","icsId":"1000093","topMostParentId":"940GZZLUGPK","modes":["tube","bus"],"zone":"1","id":"940GZZLUGPK","name":"Green Park Underground Station","lat":51.506947,"lon":-0.142787}]} """ s_id = json_data['matches'][0]['id'] return get_naptan_id(s_id) def get_station_code(station_id, line): query = f"https://api.tfl.gov.uk/Stoppoint/{station_id}" json_data = requests.get(query).json() for i in json_data["lineGroup"]: if i["lineIdentifier"][0] == line.lower(): return i["stationAtcoCode"] # return json_data["lineGroup"][0]["naptanIdReference"] def get_train_station_id(station, line): query = "https://api.tfl.gov.uk/StopPoint/Search/" if "and" in station: station = station.replace(" and ", " & ") query += station json_data = requests.get(query).json() """ sample data structure {"$type":"Tfl.Api.Presentation.Entities.SearchResponse, Tfl.Api.Presentation.Entities","query":"Green Park Underground Station","total":1,"matches":[{"$type":"Tfl.Api.Presentation.Entities.MatchedStop, Tfl.Api.Presentation.Entities","icsId":"1000093","topMostParentId":"940GZZLUGPK","modes":["tube","bus"],"zone":"1","id":"940GZZLUGPK","name":"Green Park Underground Station","lat":51.506947,"lon":-0.142787}]} """ s_id = json_data['matches'][0]['id'] return get_station_code(s_id, line) def format_time(time): # "2019-11-16T15:01:37Z" date = time[0].split('-') t_time = time[1][:-1].split(':') raw_time = date + t_time _time = [] for i in raw_time: _time.append(int(i)) return dt.datetime(_time[0], _time[1], _time[2], _time[3], _time[4], _time[5]) def get_timetable(line, station): try: if line.strip()[-1].isnumeric(): station_ids = get_bus_station_id(station) # print(station_ids) reply = f"Time Table for {station}: <br>" display = "" for nap_id in station_ids: query = f"https://api.tfl.gov.uk/Line/{line}/Arrivals/{nap_id}?app_id={config.tfl_id}&app_key={config.tfl_Keys}" json_data = requests.get(query).json() if not json_data: continue """ sample data structure """ js_data = [ { "$type": "Tfl.Api.Presentation.Entities.Prediction, Tfl.Api.Presentation.Entities", "id": "2114623668", "operationType": 1, "vehicleId": "201", "naptanId": "940GZZLUGPK", "stationName": "Green Park Underground Station", "lineId": "victoria", "lineName": "Victoria", "platformName": "Southbound - Platform 4", "direction": "inbound", "bearing": "", "destinationNaptanId": "940GZZLUBXN", "destinationName": "Brixton Underground Station", "timestamp": "2019-11-16T00:15:39.8032218Z", "timeToStation": 505, "currentLocation": "Between Highbury & Islington and Kings Cross St. P", "towards": "Brixton", "expectedArrival": "2019-11-16T00:24:04Z", "timeToLive": "2019-11-16T00:24:04Z", "modeName": "tube", "timing": { "$type": "Tfl.Api.Presentation.Entities.PredictionTiming, Tfl.Api.Presentation.Entities", "countdownServerAdjustment": "00:00:00", "source": "0001-01-01T00:00:00", "insert": "0001-01-01T00:00:00", "read": "2019-11-16T00:16:17.922Z", "sent": "2019-11-16T00:15:39Z", "received": "0001-01-01T00:00:00" } }, { "$type": "Tfl.Api.Presentation.Entities.Prediction, Tfl.Api.Presentation.Entities", "id": "-1016541864", "operationType": 1, "vehicleId": "205", "naptanId": "940GZZLUGPK", "stationName": "Green Park Underground Station", "lineId": "victoria", "lineName": "Victoria", "platformName": "Northbound - Platform 3", "direction": "outbound", "bearing": "", "destinationNaptanId": "940GZZLUWWL", "destinationName": "Walthamstow Central Underground Station", "timestamp": "2019-11-16T00:15:39.8032218Z", "timeToStation": 115, "currentLocation": "Between Victoria and Green Park", "towards": "Walthamstow Central", "expectedArrival": "2019-11-16T00:17:34Z", "timeToLive": "2019-11-16T00:17:34Z", "modeName": "tube", "timing": { "$type": "Tfl.Api.Presentation.Entities.PredictionTiming, Tfl.Api.Presentation.Entities", "countdownServerAdjustment": "00:00:00", "source": "0001-01-01T00:00:00", "insert": "0001-01-01T00:00:00", "read": "2019-11-16T00:16:17.922Z", "sent": "2019-11-16T00:15:39Z", "received": "0001-01-01T00:00:00" } }, { "$type": "Tfl.Api.Presentation.Entities.Prediction, Tfl.Api.Presentation.Entities", "id": "-1596964419", "operationType": 1, "vehicleId": "206", "naptanId": "940GZZLUGPK", "stationName": "Green Park Underground Station", "lineId": "victoria", "lineName": "Victoria", "platformName": "Northbound - Platform 3", "direction": "outbound", "bearing": "", "destinationNaptanId": "940GZZLUWWL", "destinationName": "Walthamstow Central Underground Station", "timestamp": "2019-11-16T00:15:39.8032218Z", "timeToStation": 505, "currentLocation": "At Stockwell", "towards": "Walthamstow Central", "expectedArrival": "2019-11-16T00:24:04Z", "timeToLive": "2019-11-16T00:24:04Z", "modeName": "tube", "timing": { "$type": "Tfl.Api.Presentation.Entities.PredictionTiming, Tfl.Api.Presentation.Entities", "countdownServerAdjustment": "00:00:00", "source": "0001-01-01T00:00:00", "insert": "0001-01-01T00:00:00", "read": "2019-11-16T00:16:17.922Z", "sent": "2019-11-16T00:15:39Z", "received": "0001-01-01T00:00:00" } }, { "$type": "Tfl.Api.Presentation.Entities.Prediction, Tfl.Api.Presentation.Entities", "id": "238539794", "operationType": 1, "vehicleId": "207", "naptanId": "940GZZLUGPK", "stationName": "Green Park Underground Station", "lineId": "victoria", "lineName": "Victoria", "platformName": "Southbound - Platform 4", "direction": "inbound", "bearing": "", "destinationNaptanId": "940GZZLUBXN", "destinationName": "Brixton Underground Station", "timestamp": "2019-11-16T00:15:39.8032218Z", "timeToStation": 295, "currentLocation": "At Warren Street", "towards": "Brixton", "expectedArrival": "2019-11-16T00:20:34Z", "timeToLive": "2019-11-16T00:20:34Z", "modeName": "tube", "timing": { "$type": "Tfl.Api.Presentation.Entities.PredictionTiming, Tfl.Api.Presentation.Entities", "countdownServerAdjustment": "00:00:00", "source": "0001-01-01T00:00:00", "insert": "0001-01-01T00:00:00", "read": "2019-11-16T00:16:17.922Z", "sent": "2019-11-16T00:15:39Z", "received": "0001-01-01T00:00:00" } }, { "$type": "Tfl.Api.Presentation.Entities.Prediction, Tfl.Api.Presentation.Entities", "id": "-613543127", "operationType": 1, "vehicleId": "242", "naptanId": "940GZZLUGPK", "stationName": "Green Park Underground Station", "lineId": "victoria", "lineName": "Victoria", "platformName": "Southbound - Platform 4", "direction": "inbound", "bearing": "", "destinationNaptanId": "940GZZLUBXN", "destinationName": "Brixton Underground Station", "timestamp": "2019-11-16T00:15:39.8032218Z", "timeToStation": 985, "currentLocation": "At Seven Sisters Platform 5", "towards": "Brixton", "expectedArrival": "2019-11-16T00:32:04Z", "timeToLive": "2019-11-16T00:32:04Z", "modeName": "tube", "timing": { "$type": "Tfl.Api.Presentation.Entities.PredictionTiming, Tfl.Api.Presentation.Entities", "countdownServerAdjustment": "00:00:00", "source": "0001-01-01T00:00:00", "insert": "0001-01-01T00:00:00", "read": "2019-11-16T00:16:17.922Z", "sent": "2019-11-16T00:15:39Z", "received": "0001-01-01T00:00:00" } }, { "$type": "Tfl.Api.Presentation.Entities.Prediction, Tfl.Api.Presentation.Entities", "id": "1715108579", "operationType": 1, "vehicleId": "274", "naptanId": "940GZZLUGPK", "stationName": "Green Park Underground Station", "lineId": "victoria", "lineName": "Victoria", "platformName": "Southbound - Platform 4", "direction": "inbound", "bearing": "", "destinationNaptanId": "940GZZLUBXN", "destinationName": "Brixton Underground Station", "timestamp": "2019-11-16T00:15:39.8032218Z", "timeToStation": 175, "currentLocation": "At Oxford Circus", "towards": "Brixton", "expectedArrival": "2019-11-16T00:18:34Z", "timeToLive": "2019-11-16T00:18:34Z", "modeName": "tube", "timing": { "$type": "Tfl.Api.Presentation.Entities.PredictionTiming, Tfl.Api.Presentation.Entities", "countdownServerAdjustment": "00:00:00", "source": "0001-01-01T00:00:00", "insert": "0001-01-01T00:00:00", "read": "2019-11-16T00:16:17.922Z", "sent": "2019-11-16T00:15:39Z", "received": "0001-01-01T00:00:00" } } ] dict_time = {} for i in json_data: dict_time[json_data.index(i)] = format_time(i["expectedArrival"].split('T')) min_time = min(dict_time, key=dict_time.get) reply += f"The expected arrival Time for {json_data[min_time]['lineName']} " \ f"in bus stop {json_data[min_time]['platformName']} on {json_data[min_time]['stationName']} " \ f"travelling towards {json_data[min_time]['destinationName']} " \ f"is {json_data[min_time]['expectedArrival'].split('T')[1][:-1]} <br>" display += f'<table style="width:800px;" border="0">\ <tr>\ <th style="background-color: #EAE6E5;"></th>\ <th style="background-color: #EAE6E5; color: black;">\ <div style="text-align:center">\ <font color="black" size="4" face="verdana">{station.title()}</font>\ <font color="red"> [{json_data[min_time]["platformName"]}] </font>\ </div>\ </th>\ <th style="background-color: #EAE6E5;"></th>\ </tr>\ <tr>\ <td style="background-color: red; color: white;">{json_data[min_time]["lineName"]}</td>\ <td style="background-color: #f6efcd; color: black;">' \ f'{json_data[min_time]["destinationName"]}</td>\ <td style="background-color: #f6efcd; color: black;">' \ f'<div style="text-align:right">{json_data[min_time]["expectedArrival"].split("T")[1][:-1]}' \ f'</div></td>\ </tr>\ </table><br>' if reply == f"Time Table for {station}: ": reply = f"{line} does not call at {station}" return {'display': reply, 'say': reply} return {'display': display[:-4], 'say': reply.replace('<br>', '\n'), 'reply': reply} else: if station.lower().split()[-1] != "station": station += " station" # print(station) station_id = get_train_station_id(station, line) reply = f"Time Table for {station}: <br>" display = '' query = f"https://api.tfl.gov.uk/Line/{line}/Arrivals/{station_id}?app_id={config.tfl_id}&app_key={config.tfl_Keys}" json_data = requests.get(query).json() # print(json_data) outbound_dict_time = {} inbound_dict_time = {} for i in json_data: if i["direction"] == "outbound": outbound_dict_time[json_data.index(i)] = format_time(i["expectedArrival"].split('T')) else: inbound_dict_time[json_data.index(i)] = format_time(i["expectedArrival"].split('T')) if outbound_dict_time: out_min_time = min(outbound_dict_time, key=outbound_dict_time.get) reply += f"The expected arrival Time for {json_data[out_min_time]['lineName']} " \ f"in {json_data[out_min_time]['platformName']} on {json_data[out_min_time]['stationName']} " \ f"travelling towards {json_data[out_min_time]['destinationName']} " \ f"is {json_data[out_min_time]['expectedArrival'].split('T')[1][:-1]}<br>" display += f'<table style="width:800px;" border="0">\ <tr>\ <th style="background-color: #EAE6E5;"></th>\ <th style="background-color: #EAE6E5; color: black;">\ <div style="text-align:center">\ <font color="black" size="4" face="verdana">{station.title()}</font>\ <font color="red"> [{json_data[out_min_time]["platformName"]}] </font>\ </div>\ </th>\ <th style="background-color: #EAE6E5;"></th>\ </tr>\ <tr>\ <td style="background-color: red; color: white;">{json_data[out_min_time]["lineName"]}</td>\ <td style="background-color: #f6efcd; color: black;">' \ f'{json_data[out_min_time]["destinationName"]}</td>\ <td style="background-color: #f6efcd; color: black;">' \ f'<div style="text-align:right">{json_data[out_min_time]["expectedArrival"].split("T")[1][:-1]}' \ f'</div></td>\ </tr>\ </table><br>' if inbound_dict_time: in_min_time = min(inbound_dict_time, key=inbound_dict_time.get) reply += f"The expected arrival Time for {json_data[in_min_time]['lineName']} " \ f"in {json_data[in_min_time]['platformName']} on {json_data[in_min_time]['stationName']} " \ f"travelling towards {json_data[in_min_time]['destinationName']} " \ f"is {json_data[in_min_time]['expectedArrival'].split('T')[1][:-1]}<br>" display += f'<table style="width:800px;" border="0">\ <tr>\ <th style="background-color: #EAE6E5;"></th>\ <th style="background-color: #EAE6E5; color: black;">\ <div style="text-align:center">\ <font color="black" size="4" face="verdana">{station.title()}</font>\ <font color="red"> [{json_data[in_min_time]["platformName"]}] </font>\ </div>\ </th>\ <th style="background-color: #EAE6E5;"></th>\ </tr>\ <tr>\ <td style="background-color: red; color: white;">{json_data[in_min_time]["lineName"]}</td>\ <td style="background-color: #f6efcd; color: black;">' \ f'{json_data[in_min_time]["destinationName"]}</td>\ <td style="background-color: #f6efcd; color: black;">' \ f'<div style="text-align:right">{json_data[in_min_time]["expectedArrival"].split("T")[1][:-1]}' \ f'</div></td>\ </tr>\ </table><br>' return {'display': display[:-4], 'say': reply.replace('<br>', '\n'), reply: reply} except: traceback.print_exc() exc_type, exc_value, exc_traceback = sys.exc_info() reply = f'rihanna detected a bug in tfl.get_timetable: {exc_value}' return {'display': reply, 'say': reply} def tfl_tube_status(): color_code = {'Good Service': 'green', 'Planned Closure': 'red', 'Special Service': 'purple', 'Part Suspended': 'black', 'Service Closed': 'red'} line_color = {'Bakerloo': {'background-color': '#894e24', 'color': 'white'}, 'Central': {'background-color': 'red', 'color': 'white'}, 'Circle': {'background-color': 'yellow', 'color': 'black'}, 'District': {'background-color': 'green', 'color': 'white'}, 'Hammersmith & City': {'background-color': 'pink', 'color': 'black'}, 'Jubilee': {'background-color': 'grey', 'color': 'white'}, 'Metropolitan': {'background-color': 'purple', 'color': 'white'}, 'Northern': {'background-color': 'black', 'color': 'white'}, 'Piccadilly': {'background-color': 'blue', 'color': 'white'}, 'Victoria': {'background-color': '#009ee2', 'color': 'white'}, 'Waterloo & City': {'background-color': '#76d0bd', 'color': 'white'}} display = '<font color="blue">TFL Tube Service Report</font><br><table style="width:450px;" border="0">' main_api = f"https://api.tfl.gov.uk/Line/Mode/tube/Status?app_id={config.tfl_id}&app_key={config.tfl_Keys}" json_data = requests.get(main_api).json() reply = "TFL Tube Service Report\n" for i in json_data: reply += f"{i['name']} : {i['lineStatuses'][0]['statusSeverityDescription']}\n" display += f'<tr>\ <td style="background-color: {line_color[i["name"]]["background-color"]}; ' \ f'color: {line_color[i["name"]]["color"]};">{i["name"]}</td>' service = i["lineStatuses"][0]["statusSeverityDescription"] if service in color_code: display += f'\ <td style="background-color: #f6efcd; color: {color_code[service]};">{service}</td>\ </tr>' else: display += f'\ <td style="background-color: #f6efcd; color: red;">{service}</td>\ </tr>' display += '</table>' return {'display': display, 'say': 'find displayed the TFL Tube Service Report', 'reply': reply} def journey_duration(start, stop): try: main_api = f"https://api.tfl.gov.uk/Journey/JourneyResults/{start}/to/{stop}?app_id={config.tfl_id}&app_key={config.tfl_Keys}" json_data = requests.get(main_api).json() start_time = json_data["journeys"][0]["startDateTime"].split('T')[1][:-1] # "2019-11-16T16:14:00" arrival_time = json_data["journeys"][0]["arrivalDateTime"].split('T')[1][:-1] # "2019-11-16T16:45:00" duration = json_data["journeys"][0]["duration"] if duration > 60: h = int(duration/60) m = duration - (h*60) duration = f'{h}hr {m}' cost = 'Unavailable' for journey in json_data["journeys"]: if "fare" in journey: cost = '£' + str(json_data["journeys"][0]["fare"]["totalCost"] / 100) if len(cost.split('.')[1]) == 1: cost += '0' break display = f'<table style="width:800px;">\ <tr>\ <td style="text-align:left">{start_time[:-2]} - {arrival_time[:-2]}</td>\ <td style="text-align:right">{duration}mins</td>\ </tr>\ <tr>\ <td style="text-align:left">{cost}</td>\ <td style="text-align:right"></td>\ </tr>\ </table><br><table id="t01">' mode = {'walking': 'walk1.png', 'bus': 'bus.png', 'tube': 'underground.jpg', 'overground': 'overground.png', 'national-rail': 'national_rail.jpg', 'replacement-bus': 'bus.png'} for trip in json_data["journeys"][0]["legs"]: trip_duration = trip["duration"] instruction = trip["instruction"]["summary"] trip_mode = trip["mode"]["name"] view_stops = '' if len(trip["path"]["stopPoints"]) != 0: view_stops += f'<select id = "myList" style="width:270px;">' \ f'<option >{len(trip["path"]["stopPoints"])} Stop Points</option>' for _stop in trip["path"]["stopPoints"]: view_stops += f'<option >{_stop["name"]}</option>' view_stops += '</select>' display += f'<tr>\ <td><img src="tfl/{mode[trip_mode]}" alt="{trip_mode}" width="40px"></td>\ <td>{instruction} </td><td>{view_stops}</td>\ <td>{trip_duration}mins</td>\ </tr>' display += '</table>' reply = f"If you leave at {start_time}, you will arrive at {stop} at {arrival_time}<br>" \ f"Therefore, It will take {duration} minutes" return {'display': display, 'say': reply.replace('<br>', '\n'), 'reply': reply} except: traceback.print_exc() exc_type, exc_value, exc_traceback = sys.exc_info() reply = f'rihanna detected a bug in tfl.journey_duration: {exc_value}' return {'display': reply, 'say': reply} def tfl_find_station(): driver = webdriver.Chrome(executable_path=r"C:\Program Files\chrome driver\chromedriver.exe") query = "file:///C:/Users/emyli/PycharmProjects/Chatbot_Project/tfl.html" driver.get(query) driver.maximize_window() say = 'Use the search entry to search for station' return {'display': say, 'say': say, } # adding images link https://www.pagetutor.com/html_tutor/missing.html # get_station_id("victoria station") # print(get_timetable("115", "aldgate underground station")) # print(get_timetable("northern", "elephant & castle underground station")) # print(get_timetable("northern", "bank underground station")) # print(format_time("2019-11-16T15:01:37Z".split('T'))) # print(journey_duration(start="se18 3px", stop="se1 5hp")) # tfl_find_station()

48.089404

414

0.480892

3,852

43,569

5.36838

0.106957

0.040621

0.121863

0.176024

0.784564

0.764254

0.721553

0.706127

0.683544

0.677112

0

0.064312

0.364388

43,569

905

415

48.142541

0.682375

0.019119

0

0.574572

0

0.017115

0.423659

0.188323

0

1

0.012225

false

0

0.007335

0

0.041565

0.002445

0

null

0

1

0

1

0

1

0

null

0

5

6d666a1ce22ef018a42f877c04ca2d603220de2e

38

py

Python

smsfarm/__init__.py

j-mak/smsfarm

084c6083b1850129cbd3c22b2d32e0ace15e1966

[ "MIT" ]

1

2018-02-24T14:14:00.000Z

smsfarm/__init__.py

j-mak/smsfarm

084c6083b1850129cbd3c22b2d32e0ace15e1966

[ "MIT" ]

1

2021-03-31T18:40:34.000Z

smsfarm/__init__.py

j-mak/smsfarm

084c6083b1850129cbd3c22b2d32e0ace15e1966

[ "MIT" ]

null

from .core import Client, ApiResponse

19

37

0.815789

5

38

6.2

1

0

0.131579

38

1

38

0.939394

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

61065a83ebdb569ebc33a599393220f3e230be5c

16,826

py

Python

spark_fhir_schemas/stu3/complex_types/observation_component.py

icanbwell/SparkFhirSchemas

8c828313c39850b65f8676e67f526ee92b7d624e

[ "Apache-2.0" ]

2

2020-10-31T23:25:01.000Z

2021-06-09T14:12:42.000Z

spark_fhir_schemas/stu3/complex_types/observation_component.py

icanbwell/SparkFhirSchemas

8c828313c39850b65f8676e67f526ee92b7d624e

[ "Apache-2.0" ]

null

spark_fhir_schemas/stu3/complex_types/observation_component.py

icanbwell/SparkFhirSchemas

8c828313c39850b65f8676e67f526ee92b7d624e

[ "Apache-2.0" ]

null

from typing import Union, List, Optional from pyspark.sql.types import ( StructType, StructField, StringType, ArrayType, DataType, TimestampType, ) # This file is auto-generated by generate_schema so do not edit manually # noinspection PyPep8Naming class Observation_ComponentSchema: """ Measurements and simple assertions made about a patient, device or other subject. """ # noinspection PyDefaultArgument @staticmethod def get_schema( max_nesting_depth: Optional[int] = 6, nesting_depth: int = 0, nesting_list: List[str] = [], max_recursion_limit: Optional[int] = 2, include_extension: Optional[bool] = False, extension_fields: Optional[List[str]] = [ "valueBoolean", "valueCode", "valueDate", "valueDateTime", "valueDecimal", "valueId", "valueInteger", "valuePositiveInt", "valueString", "valueTime", "valueUnsignedInt", "valueUri", "valueQuantity", ], extension_depth: int = 0, max_extension_depth: Optional[int] = 2, ) -> Union[StructType, DataType]: """ Measurements and simple assertions made about a patient, device or other subject. id: unique id for the element within a resource (for internal references). This may be any string value that does not contain spaces. extension: May be used to represent additional information that is not part of the basic definition of the element. In order to make the use of extensions safe and manageable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer is allowed to define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension. code: Describes what was observed. Sometimes this is called the observation "code". valueQuantity: The information determined as a result of making the observation, if the information has a simple value. valueCodeableConcept: The information determined as a result of making the observation, if the information has a simple value. valueString: The information determined as a result of making the observation, if the information has a simple value. valueRange: The information determined as a result of making the observation, if the information has a simple value. valueRatio: The information determined as a result of making the observation, if the information has a simple value. valueSampledData: The information determined as a result of making the observation, if the information has a simple value. valueAttachment: The information determined as a result of making the observation, if the information has a simple value. valueTime: The information determined as a result of making the observation, if the information has a simple value. valueDateTime: The information determined as a result of making the observation, if the information has a simple value. valuePeriod: The information determined as a result of making the observation, if the information has a simple value. dataAbsentReason: Provides a reason why the expected value in the element Observation.value[x] is missing. interpretation: The assessment made based on the result of the observation. Intended as a simple compact code often placed adjacent to the result value in reports and flow sheets to signal the meaning/normalcy status of the result. Otherwise known as abnormal flag. referenceRange: Guidance on how to interpret the value by comparison to a normal or recommended range. """ from spark_fhir_schemas.stu3.complex_types.extension import ExtensionSchema from spark_fhir_schemas.stu3.complex_types.codeableconcept import ( CodeableConceptSchema, ) from spark_fhir_schemas.stu3.complex_types.quantity import QuantitySchema from spark_fhir_schemas.stu3.complex_types.range import RangeSchema from spark_fhir_schemas.stu3.complex_types.ratio import RatioSchema from spark_fhir_schemas.stu3.complex_types.sampleddata import SampledDataSchema from spark_fhir_schemas.stu3.complex_types.attachment import AttachmentSchema from spark_fhir_schemas.stu3.complex_types.period import PeriodSchema from spark_fhir_schemas.stu3.complex_types.observation_referencerange import ( Observation_ReferenceRangeSchema, ) if ( max_recursion_limit and nesting_list.count("Observation_Component") >= max_recursion_limit ) or (max_nesting_depth and nesting_depth >= max_nesting_depth): return StructType([StructField("id", StringType(), True)]) # add my name to recursion list for later my_nesting_list: List[str] = nesting_list + ["Observation_Component"] schema = StructType( [ # unique id for the element within a resource (for internal references). This # may be any string value that does not contain spaces. StructField("id", StringType(), True), # May be used to represent additional information that is not part of the basic # definition of the element. In order to make the use of extensions safe and # manageable, there is a strict set of governance applied to the definition and # use of extensions. Though any implementer is allowed to define an extension, # there is a set of requirements that SHALL be met as part of the definition of # the extension. StructField( "extension", ArrayType( ExtensionSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), # Describes what was observed. Sometimes this is called the observation "code". StructField( "code", CodeableConceptSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # The information determined as a result of making the observation, if the # information has a simple value. StructField( "valueQuantity", QuantitySchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # The information determined as a result of making the observation, if the # information has a simple value. StructField( "valueCodeableConcept", CodeableConceptSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # The information determined as a result of making the observation, if the # information has a simple value. StructField("valueString", StringType(), True), # The information determined as a result of making the observation, if the # information has a simple value. StructField( "valueRange", RangeSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # The information determined as a result of making the observation, if the # information has a simple value. StructField( "valueRatio", RatioSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # The information determined as a result of making the observation, if the # information has a simple value. StructField( "valueSampledData", SampledDataSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # The information determined as a result of making the observation, if the # information has a simple value. StructField( "valueAttachment", AttachmentSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # The information determined as a result of making the observation, if the # information has a simple value. StructField("valueTime", StringType(), True), # The information determined as a result of making the observation, if the # information has a simple value. StructField("valueDateTime", TimestampType(), True), # The information determined as a result of making the observation, if the # information has a simple value. StructField( "valuePeriod", PeriodSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # Provides a reason why the expected value in the element Observation.value[x] # is missing. StructField( "dataAbsentReason", CodeableConceptSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # The assessment made based on the result of the observation. Intended as a # simple compact code often placed adjacent to the result value in reports and # flow sheets to signal the meaning/normalcy status of the result. Otherwise # known as abnormal flag. StructField( "interpretation", CodeableConceptSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth + 1, max_extension_depth=max_extension_depth, ), True, ), # Guidance on how to interpret the value by comparison to a normal or # recommended range. StructField( "referenceRange", ArrayType( Observation_ReferenceRangeSchema.get_schema( max_nesting_depth=max_nesting_depth, nesting_depth=nesting_depth + 1, nesting_list=my_nesting_list, max_recursion_limit=max_recursion_limit, include_extension=include_extension, extension_fields=extension_fields, extension_depth=extension_depth, max_extension_depth=max_extension_depth, ) ), True, ), ] ) if not include_extension: schema.fields = [ c if c.name != "extension" else StructField("extension", StringType(), True) for c in schema.fields ] return schema

47.665722

102

0.558005

1,573

16,826

5.747616

0.132867

0.070346

0.044796

0.06371

0.79051

0.784869

0.749032

0

0.003653

0.398074

16,826

352

103

47.801136

0.889021

0.286818

0

0.628099

0

0.034103

0.003617

0

1

0.004132

false

0

0.045455

0

0.061983

0

null

0

1

0

null

0

5

b63118b25917d4351ca6374f306bb064b6ebf5ec

62

py

Python

src/algorithms/__init__.py

quintus0505/K-Anonymity

d756560abeb6c9e2249280fb6ba4079c5d5d3021

[ "MIT" ]

null

src/algorithms/__init__.py

quintus0505/K-Anonymity

d756560abeb6c9e2249280fb6ba4079c5d5d3021

[ "MIT" ]

null

src/algorithms/__init__.py

quintus0505/K-Anonymity

d756560abeb6c9e2249280fb6ba4079c5d5d3021

[ "MIT" ]

null

from .Samarati import Samarati from .Mondrian import Mondrian

20.666667

30

0.83871

8

62

6.5

0.5

0

0.129032

62

2

31

0.962963

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b637d4e4c0e98fa0361428f3b8459043a1b513b1

112

py

Python

Data Scientist Career Path/5. Data Manipulation with Pandas/1. Python Lambda Function/8. ones place.py

myarist/Codecademy

2ba0f104bc67ab6ef0f8fb869aa12aa02f5f1efb

[ "MIT" ]

23

2021-06-06T15:35:55.000Z

2022-03-21T06:53:42.000Z

Data Scientist Career Path/5. Data Manipulation with Pandas/1. Python Lambda Function/8. ones place.py

shivaniverma1/Data-Scientist

f82939a411484311171465591455880c8e354750

[ "MIT" ]

null

Data Scientist Career Path/5. Data Manipulation with Pandas/1. Python Lambda Function/8. ones place.py

shivaniverma1/Data-Scientist

f82939a411484311171465591455880c8e354750

[ "MIT" ]

9

2021-06-08T01:32:04.000Z

2022-03-18T15:38:09.000Z

#Write your lambda function here ones_place = lambda num: num % 10 print(ones_place(123)) print(ones_place(4))

18.666667

33

0.758929

19

112

4.315789

0.631579

0.329268

0.341463

0

0.061856

0.133929

112

5

34

22.4

0.783505

0.276786

0

1

0

false

0

0.666667

1

0

null

1

0

1

0

null

0

1

0

5

b6a8f84c8bfc16ac5c4520f5158d7c40c300d52b

143

py

Python

2114-maximum-number-of-words-found-in-sentences/2114-maximum-number-of-words-found-in-sentences.py

hyeseonko/LeetCode

48dfc93f1638e13041d8ce1420517a886abbdc77

[ "MIT" ]

2

2021-12-05T14:29:06.000Z

2022-01-01T05:46:13.000Z

2114-maximum-number-of-words-found-in-sentences/2114-maximum-number-of-words-found-in-sentences.py

hyeseonko/LeetCode

48dfc93f1638e13041d8ce1420517a886abbdc77

[ "MIT" ]

null

2114-maximum-number-of-words-found-in-sentences/2114-maximum-number-of-words-found-in-sentences.py

hyeseonko/LeetCode

48dfc93f1638e13041d8ce1420517a886abbdc77

[ "MIT" ]

null

class Solution: def mostWordsFound(self, sentences: List[str]) -> int: return max(len(sent.split()) for sent in sentences)

35.75

59

0.643357

18

143

5.111111

0.888889

0

0.237762

143

4

60

35.75

0.844037

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

fcf0412b90c9b82b3bc38cb09a3a4a3f05f93f0a

43

py

Python

sekuli_python/sekuli/__init__.py

jkandasa/sekuli

56e1c2c8281a6531769a5d0d755761fbbb383f1d

[ "Apache-2.0" ]

null

sekuli_python/sekuli/__init__.py

jkandasa/sekuli

56e1c2c8281a6531769a5d0d755761fbbb383f1d

[ "Apache-2.0" ]

null

sekuli_python/sekuli/__init__.py

jkandasa/sekuli

56e1c2c8281a6531769a5d0d755761fbbb383f1d

[ "Apache-2.0" ]

null

# only import client class for convenience

21.5

42

0.813953

6

43

5.833333

1

0

0.162791

43

1

43

0.972222

0.930233

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

1edea64ed92c72c538e0640529be0989eabd89e2

78

py

Python

nam/trainer/__init__.py

BullAJ/nam

fc2da75ba008c4ef02a83747f2116036fa6fec46

[ "MIT" ]

15

2021-03-26T16:00:44.000Z

2022-03-26T07:43:10.000Z

src/baseline/nam/trainer/__init__.py

fau-is/gam_comparison

c47e8f8ced281e0a71b7959a211cb5b289ac7606

[ "MIT" ]

6

2021-01-03T22:55:54.000Z

2022-03-11T02:50:38.000Z

src/baseline/nam/trainer/__init__.py

fau-is/gam_comparison

c47e8f8ced281e0a71b7959a211cb5b289ac7606

[ "MIT" ]

9

2021-02-08T18:45:52.000Z

2022-03-18T19:42:57.000Z

from .litnam import LitNAM from .losses import * from .trainer import Trainer

19.5

28

0.794872

11

78

5.636364

0.454545

0

0.153846

78

3

29

26

0.939394

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

94cb386217497c132b352077884f2864c7bc7b13

929

py

Python

tygerapp/proxies/forms.py

aiminickwong/tyger

a0a5be8fc5196f10f92b19e8afa9c9ac9bbfaa79

[ "MIT" ]

null

tygerapp/proxies/forms.py

aiminickwong/tyger

a0a5be8fc5196f10f92b19e8afa9c9ac9bbfaa79

[ "MIT" ]

null

tygerapp/proxies/forms.py

aiminickwong/tyger

a0a5be8fc5196f10f92b19e8afa9c9ac9bbfaa79

[ "MIT" ]

1

2021-08-06T14:07:22.000Z

from .models import Proxy from django.forms import ModelForm from django import forms class ProxyForm(ModelForm): class Meta: model = Proxy fields = ['domain', 'ssl', 'letsencrypt', 'rewriteHTTPS', 'proxypass'] ssl = forms.BooleanField(widget=forms.CheckboxInput()) letsencrypt = forms.BooleanField(widget=forms.CheckboxInput()) rewriteHTTPS = forms.BooleanField(widget=forms.CheckboxInput()) class ProxyDelete(ModelForm): class Meta: model = Proxy fields = ['domain'] domain = forms.CharField(disabled=True) class ProxyUpdate(ModelForm): class Meta: model = Proxy fields = ['ssl', 'letsencrypt', 'rewriteHTTPS', 'proxypass'] ssl = forms.BooleanField(widget=forms.CheckboxInput()) letsencrypt = forms.BooleanField(widget=forms.CheckboxInput()) rewriteHTTPS = forms.BooleanField(widget=forms.CheckboxInput())

33.178571

78

0.680301

88

929

7.181818

0.284091

0.161392

0.218354

0.265823

0.762658

0.708861

0.582278

0

0.205597

929

28

79

33.178571

0.856369

0

0.545455

0

0.088172

0

1

0

false

0.090909

0.136364

0

0.409091

0

null

0

1

0

1

0

null

0

1

0

5

94de84fb288eee6696f590a6159030261eeb1bb4

156

py

Python

app/auth/errors.py

keystrok3/improved-quiz

1ede29fbfa54f28d392e20cadf8c5b5f55652da9

[ "MIT" ]

null

app/auth/errors.py

keystrok3/improved-quiz

1ede29fbfa54f28d392e20cadf8c5b5f55652da9

[ "MIT" ]

null

app/auth/errors.py

keystrok3/improved-quiz

1ede29fbfa54f28d392e20cadf8c5b5f55652da9

[ "MIT" ]

null

from . import auth from .exceptions import ValidationError @auth.errorhandler(ValidationError) def validation_error(e): return bad_request(e.args[0])

19.5

39

0.788462

20

156

6.05

0.75

0

0.007299

0.121795

156

7

40

22.285714

0.875912

0

1

0.2

false

0

0.4

0.2

0.8

0

1

0

null

0

1

0

null

0

1

0

5

94f7aab7ddb681b0d374772ce28de83ec9737638

68

py

Python

bycycle/objs/__init__.py

ryanhammonds/bycycle

c285c5b1bf5de985cea3f0898bf8e2b01171feca

[ "Apache-2.0" ]

48

2019-03-04T22:37:15.000Z

2022-03-28T16:55:52.000Z

bycycle/objs/__init__.py

ryanhammonds/bycycle

c285c5b1bf5de985cea3f0898bf8e2b01171feca

[ "Apache-2.0" ]

83

2019-02-01T19:09:23.000Z

2022-01-10T20:27:29.000Z

bycycle/objs/__init__.py

ryanhammonds/bycycle

c285c5b1bf5de985cea3f0898bf8e2b01171feca

[ "Apache-2.0" ]

15

2019-06-04T23:22:37.000Z

2021-12-21T07:49:31.000Z

"""Bycycle class object.""" from .fit import Bycycle, BycycleGroup

17

38

0.735294

8

68

6.25

0.875

0

0.132353

68

3

39

22.666667

0.847458

0.308824

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a207f8638e1fecb593e6da37fc38cc7160e80332

4,775

py

Python

DRL/component/reward.py

mdecourse/lightDRL

4eff160f3797f88d20a059104c75e49d5295d932

[ "Apache-2.0" ]

6

2018-01-07T08:48:29.000Z

2019-07-22T07:29:31.000Z

DRL/component/reward.py

mdecourse/lightDRL

4eff160f3797f88d20a059104c75e49d5295d932

[ "Apache-2.0" ]

null

DRL/component/reward.py

mdecourse/lightDRL

4eff160f3797f88d20a059104c75e49d5295d932

[ "Apache-2.0" ]

2

2019-10-17T17:47:31.000Z

2021-08-22T07:55:32.000Z

import scipy.signal import numpy as np # =========================== # Set rewards # =========================== class Reward(object): def __init__(self, factor, gamma): # Reward parameters self.factor = factor self.gamma = gamma # Set step rewards to total episode reward def total(self, ep_batch, tot_reward): for step in ep_batch: step[2] = tot_reward*self.factor return ep_batch # Set step rewards to discounted reward def discount(self, r_batch): # print('START---------in discount-----------') # print('factor={}, gamma={}'.format(self.factor, self.gamma)) x = r_batch # print('ep_batch[:,2] -> ' + str(x)) discounted = scipy.signal.lfilter([1], [1, -self.gamma], x[::-1], axis=0)[::-1] # print('afte lfilter ->', discounted) discounted *= self.factor # print('afte *factor ->', discounted) # print('ep_batch[:,2] -> ' + str(ep_batch[i,2])) # print('END---------in discount-----------') # print('reward discounted = ', discounted) return discounted # Set step rewards to discounted reward def discount_batch(self, ep_batch): # print('START---------in discount-----------') # print('factor={}, gamma={}'.format(self.factor, self.gamma)) x = ep_batch[:,2] # print('ep_batch[:,2] -> ' + str(x)) discounted = scipy.signal.lfilter([1], [1, -self.gamma], x[::-1], axis=0)[::-1] # print('afte lfilter ->', discounted) discounted *= self.factor # print('afte *factor ->', discounted) for i in range(len(discounted)): ep_batch[i,2] = discounted[i] # print('ep_batch[:,2] -> ' + str(ep_batch[i,2])) # print('END---------in discount-----------') return ep_batch def discount_ori_print(self, ep_batch): print('START---------in discount-----------') print('factor={}, gamma={}'.format(self.factor, self.gamma)) x = ep_batch[:,2] print('ep_batch[:,2] -> ' + str(x)) discounted = scipy.signal.lfilter([1], [1, -self.gamma], x[::-1], axis=0)[::-1] print('afte lfilter ->', discounted) discounted *= self.factor print('afte *factor ->', discounted) for i in range(len(discounted)): ep_batch[i,2] = discounted[i] print('ep_batch[:,2] -> ' + str(ep_batch[i,2])) print('END---------in discount-----------') return ep_batch def discount_005(self, ep_batch): # print('START---------in discount-----------') # print('factor={}, gamma={}, len(x)={}'.format(self.factor, self.gamma,len(x))) x = ep_batch[:,2] # print('ep_batch[:,2] -> ' + str(x)) discounted_ep_rs = np.zeros_like(x) for t in reversed(range(0, len(x))): discounted_ep_rs[t] = 0.05 # all 0.05 # print('discounted_ep_rs -> ' + str(discounted_ep_rs)) # discounted_ep_rs *= self.factor # print('discounted_ep_rs after * factor-> ' + str(discounted_ep_rs)) for i in range(len(discounted_ep_rs)): ep_batch[i,2] = discounted_ep_rs[i] # print('ep_batch[:,2] -> ' + str(ep_batch[:,2])) # print('END---------in discount-----------') return ep_batch def discount_add_005(self, ep_batch): # print('START---------in discount-----------') # print('factor={}, gamma={}, len(x)={}'.format(self.factor, self.gamma,len(x))) x = ep_batch[:,2] # print('ep_batch[:,2] -> ' + str(x)) discounted_ep_rs = np.zeros_like(x) running_add = 0 for t in reversed(range(0, len(x))): discounted_ep_rs[t] = running_add * 0.05 * 1.0 running_add+=1 # print('discounted_ep_rs -> ' + str(discounted_ep_rs)) # discounted_ep_rs *= self.factor # print('discounted_ep_rs after * factor-> ' + str(discounted_ep_rs)) for i in range(len(discounted_ep_rs)): ep_batch[i,2] = discounted_ep_rs[i] # print('ep_batch[:,2] -> ' + str(ep_batch[:,2])) # print('END---------in discount-----------') return ep_batch def reverse_add_rewards(self, ep_rs, r_dicount = 0.9): print('reverse_and_norm_rewards ep_rs -> len = {}, {}'.format(len(ep_rs), ep_rs)) # discount episode rewards discounted_ep_rs = np.zeros_like(ep_rs) running_add = 0 for t in reversed(range(0, len(ep_rs))): running_add = running_add * r_dicount + ep_rs[t] discounted_ep_rs[t] = running_add print('reverse_add_rewards -> discounted_ep_rs = ' + str(discounted_ep_rs)) return discounted_ep_rs

34.601449

89

0.536545

601

4,775

4.063228

0.103161

0.097461

0.131859

0.053235

0.782555

0.757985

0.745291

0.710074

0

0.01812

0.260314

4,775

138

90

34.601449

0.673273

0.358534

0

0.460317

0

0.079722

0.007939

0

1

0.126984

false

0

0.031746

0

0.285714

0.15873

0

null

0

1

0

null

0

5

bf8d5c72efaa1b477bf98fb3ea51935caee9eedb

217

py

Python

src/gfl/utils/__init__.py

mingt2019/GFL

b8e027d2e8cdcc27c85a00744f8790d6db3cc4a3

[ "MIT" ]

123

2020-06-05T13:30:38.000Z

2022-03-30T08:39:43.000Z

src/gfl/utils/__init__.py

GalaxyLearning/PFL

b8e027d2e8cdcc27c85a00744f8790d6db3cc4a3

[ "MIT" ]

13

2020-06-19T13:09:47.000Z

2021-12-22T03:09:24.000Z

src/gfl/utils/__init__.py

GalaxyLearning/GFL

b8e027d2e8cdcc27c85a00744f8790d6db3cc4a3

[ "MIT" ]

35

2020-06-08T15:52:21.000Z

2022-03-25T11:52:42.000Z

from gfl.utils.module_utils import ModuleUtils from gfl.utils.path_utils import PathUtils from gfl.utils.po_utils import PlainObject from gfl.utils.time_utils import TimeUtils from gfl.utils.zip_utils import ZipUtils

36.166667

46

0.861751

35

217

5.2

0.4

0.192308

0.32967

0

0.092166

217

5

47

43.4

0.923858

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

bf8dec137b11121a9e2b39816f4a86517480f5aa

56

py

Python

run.py

AllInOneInstagramBot/bot

b4415fff23c581650c0063a773b10bc3383ff2fe

[ "MIT" ]

null

run.py

AllInOneInstagramBot/bot

b4415fff23c581650c0063a773b10bc3383ff2fe

[ "MIT" ]

null

run.py

AllInOneInstagramBot/bot

b4415fff23c581650c0063a773b10bc3383ff2fe

[ "MIT" ]

null

import AllInOneInstagramBot AllInOneInstagramBot.run()

14

27

0.875

4

56

12.25

0.75

0

0.071429

56

3

28

18.666667

0.942308

0

1

0

true

0

0.5

0

0.5

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

bfa5a8d909a26b4a453c1fbfe9cc53510bef6ccb

61

py

Python

python_modules/dagster/dagster_tests/cli_tests/workspace_tests/autodiscovery_tests/single_graph.py

dbatten5/dagster

d76e50295054ffe5a72f9b292ef57febae499528

[ "Apache-2.0" ]

4,606

2018-06-21T17:45:20.000Z

2022-03-31T23:39:42.000Z

python_modules/dagster/dagster_tests/cli_tests/workspace_tests/autodiscovery_tests/single_graph.py

dbatten5/dagster

d76e50295054ffe5a72f9b292ef57febae499528

[ "Apache-2.0" ]

6,221

2018-06-12T04:36:01.000Z

2022-03-31T21:43:05.000Z

python_modules/dagster/dagster_tests/cli_tests/workspace_tests/autodiscovery_tests/single_graph.py

dbatten5/dagster

d76e50295054ffe5a72f9b292ef57febae499528

[ "Apache-2.0" ]

619

2018-08-22T22:43:09.000Z

2022-03-31T22:48:06.000Z

from dagster import graph @graph def graph_one(): pass

8.714286

25

0.704918

9

61

4.666667

0.777778

0

0.229508

61

6

26

10.166667

0.893617

0

1

0.25

true

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

449b0f796ebf0460ed977d5846f3df1afbca6fea

180

py

Python

manage.py

manisharmagarg/nessus-driver

b0aef1a9c6ec5a00036c3040e062a334b1a1ca7f

[ "Apache-2.0" ]

null

manage.py

manisharmagarg/nessus-driver

b0aef1a9c6ec5a00036c3040e062a334b1a1ca7f

[ "Apache-2.0" ]

null

manage.py

manisharmagarg/nessus-driver

b0aef1a9c6ec5a00036c3040e062a334b1a1ca7f

[ "Apache-2.0" ]

null

import os from driverapp import * # ---------------------------------------- # launch server # ---------------------------------------- if __name__ == '__main__': manager.run()

18

42

0.372222

12

180

4.916667

0.916667

0

0.116667

180

9

43

20

0.371069

0.527778

0

0.098765

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

44c901e80098736c610bf28cdeb91ff82c1f3250

116

py

Python

server.py

devdatta95/OCR_Documents_With_Flask

ddc45689fa9eaef4ca134625c46388ce96c3ebe7

[ "CNRI-Python", "OML", "Info-ZIP" ]

3

2021-08-28T23:33:24.000Z

2022-03-30T04:44:57.000Z

server.py

devdatta95/OCR_Documents_With_Flask

ddc45689fa9eaef4ca134625c46388ce96c3ebe7

[ "CNRI-Python", "OML", "Info-ZIP" ]

null

server.py

devdatta95/OCR_Documents_With_Flask

ddc45689fa9eaef4ca134625c46388ce96c3ebe7

[ "CNRI-Python", "OML", "Info-ZIP" ]

3

2021-02-18T18:58:39.000Z

2021-07-08T08:55:59.000Z

from app import app from config import * from waitress import serve serve(app, host=SERVER_URL, port=SERVER_PORT)

16.571429

45

0.793103

19

116

4.736842

0.526316

0

0.146552

116

6

46

19.333333

0.909091

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

44d61a63a55e0c7fb6bb7b678f41cc93a14754dc

147

py

Python

config.py

agsimmons/DataScienceFinalProject

524f817f5f37e638b47100af736ce420d5e459bf

[ "MIT" ]

null

config.py

agsimmons/DataScienceFinalProject

524f817f5f37e638b47100af736ce420d5e459bf

[ "MIT" ]

null

config.py

agsimmons/DataScienceFinalProject

524f817f5f37e638b47100af736ce420d5e459bf

[ "MIT" ]

null

import pathlib PROJECT_DIR = pathlib.Path(__file__).parent DATA_DIR = PROJECT_DIR / pathlib.Path('data') DATA_DB = PROJECT_DIR / 'data.sqlite3'

18.375

45

0.761905

21

147

4.904762

0.47619

0.291262

0.330097

0.407767

0

0.007752

0.122449

147

7

46

21

0.790698

0

0.108844

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

5

44f7a38f476cfb7e37f419a197657f7eb336aafc

137

py

Python

contas/admin.py

Camilotk/tutorialDjango

2635b0a97ff9670586d8a59ef5523b04b213c562

[ "Apache-2.0" ]

null

contas/admin.py

Camilotk/tutorialDjango

2635b0a97ff9670586d8a59ef5523b04b213c562

[ "Apache-2.0" ]

null

contas/admin.py

Camilotk/tutorialDjango

2635b0a97ff9670586d8a59ef5523b04b213c562

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import Categoria, Transacao admin.site.register(Categoria) admin.site.register(Transacao)

22.833333

40

0.832117

18

137

6.333333

0.555556

0.157895

0.298246

0

0.087591

137

5

41

27.4

0.912

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

7828b7026ceee2bf8f60e2190816b4e17b1df941

38

py

Python

tests/__init__.py

ufosc/MuddySwamp

2e28f9db1f0f4e1c4aafccdf7f58bf2a22b82366

[ "MIT" ]

10

2018-10-14T00:29:27.000Z

2020-05-02T23:59:30.000Z

tests/__init__.py

ufosc/MuddySwamp

2e28f9db1f0f4e1c4aafccdf7f58bf2a22b82366

[ "MIT" ]

36

2018-06-13T05:48:10.000Z

2020-02-05T18:51:52.000Z

tests/__init__.py

ufosc/MuddySwamp

2e28f9db1f0f4e1c4aafccdf7f58bf2a22b82366

[ "MIT" ]

8

2018-08-30T03:13:13.000Z

2020-05-15T21:42:52.000Z

"""module containing all testcases"""

19

37

0.736842

4

38

7

1

0

0.105263

38

1

38

0.823529

0.815789

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

7890b2f0be2184159c9b51ec73dc0dd69d0c36d1

276

py

Python

twitter/utils.py

romaintha/twitter

53ae5fd18b21e6045df70a700cc92dbb5b5ab63c

[ "MIT" ]

35

2017-02-25T05:02:45.000Z

2021-11-15T10:33:48.000Z

twitter/utils.py

romaintha/twitter

53ae5fd18b21e6045df70a700cc92dbb5b5ab63c

[ "MIT" ]

null

twitter/utils.py

romaintha/twitter

53ae5fd18b21e6045df70a700cc92dbb5b5ab63c

[ "MIT" ]

16

2017-03-18T00:17:49.000Z

2020-02-12T00:08:54.000Z

from twitter.tweet_processing import TweetProcessing from twitter.tasks import bulk_parsing def stream_pipeline(statuses): users_attributes, tweets_attributes = TweetProcessing.prepare_batch_processing(statuses) bulk_parsing.delay(users_attributes, tweets_attributes)

46

92

0.862319

32

276

7.125

0.59375

0.096491

0.184211

0.27193

0

0.086957

276

6

93

46

0.904762

0

1

0.2

false

0

0.4

0

0.6

0

null

0

1

0

1

0

null

0

1

0

1

0

5

78ab5add2b43d736f484e75bac62f3e8f708637b

163

py

Python

lesson-5/ex1.py

alirsamar/intro-ml

36450b26b7ea09472ccdd2a0abce51b6c3889a20

[ "MIT" ]

null

lesson-5/ex1.py

alirsamar/intro-ml

36450b26b7ea09472ccdd2a0abce51b6c3889a20

[ "MIT" ]

null

lesson-5/ex1.py

alirsamar/intro-ml

36450b26b7ea09472ccdd2a0abce51b6c3889a20

[ "MIT" ]

null

# Size of the enron dataset import pickle enron_data = pickle.load(open("../ud120-projects/final_project/final_project_dataset.pkl", "r")) print len(enron_data)

23.285714

96

0.773006

25

163

4.84

0.72

0.14876

0

0.020408

0.09816

163

7

97

23.285714

0.802721

0.153374

0

0.423358

0.416058

0

null

0

0.333333

null

0.333333

1

0

null

0

1

0

1

null

0

1

0

1

0

5

159d48fc5763411295b13420ea8c3e4a26ac8557

36

py

Python

nsd1812/python01/day04/day01_03.py

MrWangwf/nsd2019

5e859b4b1926dc098d236be3720779c50d0a55fc

[ "Apache-2.0" ]

1

2019-09-19T04:53:22.000Z

nsd1812/python01/day04/day01_03.py

MrWangwf/nsd2019

5e859b4b1926dc098d236be3720779c50d0a55fc

[ "Apache-2.0" ]

null

nsd1812/python01/day04/day01_03.py

MrWangwf/nsd2019

5e859b4b1926dc098d236be3720779c50d0a55fc

[ "Apache-2.0" ]

1

2021-12-28T04:26:02.000Z

print('Hello World!') print('OK')

7.2

21

0.611111

5

36

4.4

0.8

0

0.138889

36

4

22

9

0.709677

0

0.411765

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ec869523472fc449bca16bad499672b3410cbcdc

3,882

py

Python

cheshire3/licensing.py

cheshire3/cheshire3

306348831ec110229c78a7c5f0f2026a0f394d2c

[ "Python-2.0", "Unlicense" ]

3

2015-08-02T09:03:28.000Z

2017-12-06T09:26:14.000Z

cheshire3/licensing.py

cheshire3/cheshire3

306348831ec110229c78a7c5f0f2026a0f394d2c

[ "Python-2.0", "Unlicense" ]

5

2015-08-17T01:16:35.000Z

2015-09-16T21:51:27.000Z

cheshire3/licensing.py

cheshire3/cheshire3

306348831ec110229c78a7c5f0f2026a0f394d2c

[ "Python-2.0", "Unlicense" ]

6

2015-05-17T15:32:20.000Z

2020-04-22T08:43:16.000Z

"""Cheshire3 Licensing. With the exception of marc_utils module, Cheshire3 is provided under the conditions of the BSD 3-clause license. Copyright © 2005-2012, the University of Liverpool. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the University of Liverpool nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. MARC Utilities Module --------------------- The following licensing conditions apply to the marc_utils module included in the Cheshire3 package. In the following statements, "This file" and "the Software" should be understood to mean marc_utils.py. > This file should be available from > http://www.pobox.com/~asl2/software/PyZ3950/ > and is licensed under the X Consortium license: > Copyright (c) 2001, Aaron S. Lav, asl2@pobox.com > All rights reserved. > Permission is hereby granted, free of charge, to any person obtaining a > copy of this software and associated documentation files (the > "Software"), to deal in the Software without restriction, including > without limitation the rights to use, copy, modify, merge, publish, > distribute, and/or sell copies of the Software, and to permit persons > to whom the Software is furnished to do so, provided that the above > copyright notice(s) and this permission notice appear in all copies of > the Software and that both the above copyright notice(s) and this > permission notice appear in supporting documentation. > THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS > OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF > MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT > OF THIRD PARTY RIGHTS. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR > HOLDERS INCLUDED IN THIS NOTICE BE LIABLE FOR ANY CLAIM, OR ANY SPECIAL > INDIRECT OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING > FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, > NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION > WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. > Except as contained in this notice, the name of a copyright holder > shall not be used in advertising or otherwise to promote the sale, use > or other dealings in this Software without prior written authorization > of the copyright holder. """ def license_text(): return __doc__ def cheshire3_license(): return __doc__.split('\n\n')[1] def cheshire3_license_text(): return '\n\n'.join(__doc__.split('\n\n')[:5]) + '\n' def marc_utils_license(): return '\n\n'.join(__doc__.split('\n\n')[7:]) + '\n'

44.62069

78

0.777434

587

3,882

5.098808

0.366269

0.011694

0.02272

0.030738

0.193786

0.152356

0.119612

0.082192

0

0.00831

0.16306

3,882

86

79

45.139535

0.912896

0.926327

0

0.086022

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

ecc1bfcbd173627c7a72fbb9261ccdf1079c27a5

76

py

Python

python/testData/codeInsight/mlcompletion/prev2calls/sysStdinReadlineRstrip.py

Sajaki/intellij-community

6748af2c40567839d11fd652ec77ba263c074aad

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/codeInsight/mlcompletion/prev2calls/sysStdinReadlineRstrip.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2022-02-19T09:45:05.000Z

2022-02-27T20:32:55.000Z

python/testData/codeInsight/mlcompletion/prev2calls/sysStdinReadlineRstrip.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

1

2020-03-10T02:53:51.000Z

import sys lns = sys.stdin.readline() lns.rstrip() lns.rstrip() lns.<caret>

12.666667

26

0.710526

12

76

4.5

0.583333

0.333333

0.444444

0

0.105263

76

6

27

12.666667

0.794118

0

0.4

0

null

0

0.2

null

0

1

0

null

1

0

1

0

null

0

1

0

5

ecd733978664b85f9c7d5a7b809be574d4f3d649

532

py

Python

deep_learning_with_tensorFlow/Chapter05/p10901.py

pearpai/TensorFlow-action

264099d933988532ed59eaf0f2ad495d40ede4d2

[ "Apache-2.0" ]

3

2018-06-07T07:15:00.000Z

2018-10-09T07:59:50.000Z

deep_learning_with_tensorFlow/Chapter05/p10901.py

pearpai/TensorFlow-action

264099d933988532ed59eaf0f2ad495d40ede4d2

[ "Apache-2.0" ]

null

deep_learning_with_tensorFlow/Chapter05/p10901.py

pearpai/TensorFlow-action

264099d933988532ed59eaf0f2ad495d40ede4d2

[ "Apache-2.0" ]

4

2017-04-23T05:30:41.000Z

2018-09-27T07:13:37.000Z

import tensorflow as tf with tf.variable_scope("root"): # 可以通过tf.get_variable_scope().reuse函数来获取当前上下文管理器中reuse参数的取值 # 输出False，即最外层reuse是False print(tf.get_variable_scope().reuse) # 新建一个嵌套的上下文管理，并指定reuse为True with tf.variable_scope("foo", reuse=True): # 输出为True print(tf.get_variable_scope().reuse) # 新建一个嵌套的上下文管理器不指定reuse的取值会和外面一层的保持一致输出True with tf.variable_scope("bar"): print(tf.get_variable_scope().reuse) # 外层的还是不变 print(tf.get_variable_scope().reuse)

31.294118

63

0.703008

58

532

6.224138

0.413793

0.288089

0.221607

0.199446

0.310249

0

0.191729

532

16

64

33.25

0.839535

0.31391

0

0.5

0

0.027933

0

1

0

true

0

0.125

0

0.125

0.5

0

null

1

0

null

0

1

0

1

0

5

ecde2efafb12c8fda5f374e6dea19ef1119f33ce

367

py

Python

smoking.py

m1key/data-science-sandbox

d09e55320c1c5a9f9959f4c514929b2cf7681ff1

[ "MIT" ]

null

smoking.py

m1key/data-science-sandbox

d09e55320c1c5a9f9959f4c514929b2cf7681ff1

[ "MIT" ]

null

smoking.py

m1key/data-science-sandbox

d09e55320c1c5a9f9959f4c514929b2cf7681ff1

[ "MIT" ]

null

import pandas as pd import matplotlib.pylab as plt def p2f(x): return float(x.strip('%')) data = pd.read_csv('Smoking_Prevalence_in_Adults__1984-2013.csv', converters={'Percentage of Current Smokers':p2f}) data.pivot_table('Percentage of Current Smokers', index = 'Year', columns = 'Gender').plot().get_figure().savefig('output8.png', bbox_inches = 'tight')

36.7

152

0.735695

53

367

4.924528

0.792453

0.091954

0.145594

0.199234

0

0.033742

0.111717

367

9

153

40.777778

0.766871

0

0.354223

0.117166

0

1

0.166667

false

0

0.333333

0.166667

0.666667

0

null

0

1

0

1

0

null

0

1

0

5

01eace13ac89cb13b3c28ce8dfa682e32d28abc0

202

py

Python

create_token.py

WIPACrepo/example-mongo-web-api

60948595ad615861f4cc1aefcc6adb73b613d2a3

[ "MIT" ]

null

create_token.py

WIPACrepo/example-mongo-web-api

60948595ad615861f4cc1aefcc6adb73b613d2a3

[ "MIT" ]

null

create_token.py

WIPACrepo/example-mongo-web-api

60948595ad615861f4cc1aefcc6adb73b613d2a3

[ "MIT" ]

null

from rest_tools.server import Auth, from_environment default_config = { 'AUTH_SECRET': 'secret', } config = from_environment(default_config) print(Auth(config['AUTH_SECRET']).create_token("sub"))

22.444444

54

0.762376

26

202

5.615385

0.538462

0.205479

0.30137

0.383562

0

0.10396

202

8

55

25.25

0.80663

0

0.153465

0

1

0

false

0

0.166667

0

0.166667

1

0

null

1

0

1

0

null

0

5

01f2fd2f7cf9997d45c4e732a4bd07c775fc532a

366

py

Python

pants-plugins/experimental/pyoxidizer/register.py

sureshjoshi/pants-plugins

b3db0853bb5ab3d721a286ef698560e3d1cbb0f9

[ "Apache-2.0" ]

4

2022-02-14T23:14:21.000Z

2022-03-29T12:39:26.000Z

pants-plugins/experimental/pyoxidizer/register.py

sureshjoshi/pants-plugins

b3db0853bb5ab3d721a286ef698560e3d1cbb0f9

[ "Apache-2.0" ]

36

2022-02-02T05:01:04.000Z

2022-03-31T16:46:34.000Z

pants-plugins/experimental/pyoxidizer/register.py

sureshjoshi/pants-plugins

b3db0853bb5ab3d721a286ef698560e3d1cbb0f9

[ "Apache-2.0" ]

2

2022-02-14T04:16:19.000Z

2022-03-02T11:22:37.000Z

# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from experimental.pyoxidizer.rules import rules as pyoxidizer_rules from experimental.pyoxidizer.target_types import PyOxidizerTarget def rules(): return [*pyoxidizer_rules()] def target_types(): return [PyOxidizerTarget]

26.142857

67

0.789617

44

366

6.477273

0.590909

0.157895

0.182456

0

0.018927

0.13388

366

13

68

28.153846

0.880126

0.344262

0

1

0.333333

true

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

5

01f3802778e17764b41b0cb04cb2cdaa18e492b5

115

py

Python

extras/admin.py

ggidofalvy-tc/peering-manager

0c358b108494f51936264f3ec5d600c20827a745

[ "Apache-2.0" ]

null

extras/admin.py

ggidofalvy-tc/peering-manager

0c358b108494f51936264f3ec5d600c20827a745

[ "Apache-2.0" ]

21

2021-05-23T07:32:25.000Z

2022-03-28T03:07:44.000Z

extras/admin.py

ggidofalvy-tc/peering-manager

0c358b108494f51936264f3ec5d600c20827a745

[ "Apache-2.0" ]

null

from django.contrib.admin import site as admin_site from .models import JobResult admin_site.register(JobResult)

19.166667

51

0.834783

17

115

5.529412

0.588235

0.191489

0

0.113043

115

5

52

23

0.921569

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1710308d44354f316010e38a40c11be50785a031

33

py

Python

loadtests/lms/__init__.py

cmltaWt0/edx-load-tests

c25547a3ee241b3aa323dc6931e161a356ed5314

[ "Apache-2.0" ]

18

2016-01-31T13:29:56.000Z

2019-02-08T18:08:49.000Z

loadtests/lms/__init__.py

cmltaWt0/edx-load-tests

c25547a3ee241b3aa323dc6931e161a356ed5314

[ "Apache-2.0" ]

92

2015-07-31T20:16:51.000Z

2019-08-09T14:32:12.000Z

loadtests/lms/__init__.py

cmltaWt0/edx-load-tests

c25547a3ee241b3aa323dc6931e161a356ed5314

[ "Apache-2.0" ]

15

2015-08-19T15:23:58.000Z

2018-02-01T19:47:38.000Z

from locustfile import LmsLocust

16.5

32

0.878788

4

33

7.25

1

0

0.121212

33

1

33

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

17620d3cb7cf1f6aacadd5f47727f0f6948f24ae

248

py

Python

script/conf.py

DigitalDataLab/ASN16-18_CitationNetwork

8238036f43319b7bcbbcffa38bb8d7f43ad00209

[ "Apache-2.0" ]

null

script/conf.py

DigitalDataLab/ASN16-18_CitationNetwork

8238036f43319b7bcbbcffa38bb8d7f43ad00209

[ "Apache-2.0" ]

null

script/conf.py

DigitalDataLab/ASN16-18_CitationNetwork

8238036f43319b7bcbbcffa38bb8d7f43ad00209

[ "Apache-2.0" ]

null

dbFilename = ["../data/output/statistici.db", "../data/output/informatici.db"] dbFilename_sectors = ["../data/output/informatici_settori.db", "../data/output/statistici_settori.db"] sectors = ["01/B1","09/H1","13/D1","13/D2","13/D3"] anno = "2016"

49.6

102

0.681452

34

248

4.882353

0.529412

0.240964

0

0.081197

0.056452

248

4

103

62

0.628205

0

0.641129

0.524194

0

1

0

false

0

null

1

0

1

0

1

null

0

5

bd6fb8e3ba23bcda7f550a8541531fccc8060b41

41

py

Python

tests/__init__.py

igor-korolev/template-python

17f8fc14820c802d798bbe153e69c87e17bec42e

[ "MIT" ]

2

2020-05-22T14:45:37.000Z

2020-05-28T12:43:33.000Z

tests/__init__.py

igor-korolev/template-python

17f8fc14820c802d798bbe153e69c87e17bec42e

[ "MIT" ]

null

tests/__init__.py

igor-korolev/template-python

17f8fc14820c802d798bbe153e69c87e17bec42e

[ "MIT" ]

null

"""Unit tests for project 'templ_app'"""

20.5

40

0.682927

6

41

4.5

1

0

0.121951

41

1

41

0.75

0.829268

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

bdc2e8f933d1f3289defb57cc13273f1e8291aed

121

py

Python

source/net/__init__.py

shaharazulay/deep-semantic-prior

d1710e13f46c7e8ca365a815e0cd0ce6e8eb4d2b

[ "BSD-3-Clause" ]

2

2021-06-30T02:59:51.000Z

2021-11-23T14:39:00.000Z

source/multi-class/net/__init__.py

shaharazulay/deep-segmentation-prior

8ab455b1a9d6f0c3e1d26e00536097234af24902

[ "BSD-2-Clause" ]

null

source/multi-class/net/__init__.py

shaharazulay/deep-segmentation-prior

8ab455b1a9d6f0c3e1d26e00536097234af24902

[ "BSD-2-Clause" ]

null

from .skip_model import skip, skip_mask from .optimization import optimize, uneven_optimize from .noise import get_noise

30.25

51

0.842975

18

121

5.444444

0.555556

0

0.115702

121

3

52

40.333333

0.915888

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

bdd9810e9ca60d9a8659ab62733c0b8424fb94d6

85

py

Python

vectorhub/__init__.py

boba-and-beer/vectorhub

fc536a59c77755f4051af37338839e24e0add5c4

[ "Apache-2.0" ]

null

vectorhub/__init__.py

boba-and-beer/vectorhub

fc536a59c77755f4051af37338839e24e0add5c4

[ "Apache-2.0" ]

null

vectorhub/__init__.py

boba-and-beer/vectorhub

fc536a59c77755f4051af37338839e24e0add5c4

[ "Apache-2.0" ]

null

__version__ = "1.1.0" from .base import * from .errors import * from .utils import *

17

21

0.694118

13

85

4.230769

0.615385

0.363636

0

0.042857

0.176471

85

5

22

17

0.742857

0

0.05814

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

bddb0ac0e1a7242b3f3085eb64d09a6d89ba2a32

1,316

py

Python

src/fixate/drivers/dmm/helper.py

jcollins1983/Fixate

132f7cda69f3d53ff1bd660518d11b45dc6182fd

[ "MIT" ]

15

2018-10-05T04:55:18.000Z

2022-03-10T08:08:20.000Z

src/fixate/drivers/dmm/helper.py

jcollins1983/Fixate

132f7cda69f3d53ff1bd660518d11b45dc6182fd

[ "MIT" ]

86

2018-09-26T02:33:11.000Z

2022-01-10T06:12:17.000Z

src/fixate/drivers/dmm/helper.py

jcollins1983/Fixate

132f7cda69f3d53ff1bd660518d11b45dc6182fd

[ "MIT" ]

12

2018-10-09T01:32:11.000Z

2022-03-22T01:19:09.000Z

class DMM: REGEX_ID = "DMM" is_connected = False def measurement(self): raise NotImplementedError def voltage_ac(self, _range=None): raise NotImplementedError def voltage_dc(self, _range=None): raise NotImplementedError def current_ac(self, _range): raise NotImplementedError def current_dc(self, _range): raise NotImplementedError def analog_filter(self, bandwidth=None): raise NotImplementedError def digital_filter(self): raise NotImplementedError def resistance(self, _range=None): raise NotImplementedError def frequency(self, _range=None): raise NotImplementedError def fresistance(self, _range=None): raise NotImplementedError def period(self, _range=None): raise NotImplementedError def capacitance(self, _range=None): raise NotImplementedError def temperature(self): raise NotImplementedError def ftemperature(self): raise NotImplementedError def continuity(self): raise NotImplementedError def diode(self, low_current=True, high_voltage=False): raise NotImplementedError def reset(self): raise NotImplementedError def get_identity(self): raise NotImplementedError

22.689655

58

0.68465

129

1,316

6.829457

0.286822

0.490352

0.520999

0.281498

0.399546

0.317821

0

0.253799

1,316

57

59

23.087719

0.897149

0

0.461538

0

0.00228

0

1

0.461538

false

0

0.538462

0

null

1

0

null

0

1

0

1

0

5

bde2e261ca74e68b6d4bfd6447c3f7caaf80979d

211

py

Python

limonero/validation_errors.py

eubr-bigsea/limonero

54851b73bb1e4f5626b3d38ea7eeb50f3ed2e3c5

[ "Apache-2.0" ]

1

2018-01-01T20:35:43.000Z

limonero/validation_errors.py

eubr-bigsea/limonero

54851b73bb1e4f5626b3d38ea7eeb50f3ed2e3c5

[ "Apache-2.0" ]

37

2017-02-24T17:07:25.000Z

2021-09-02T14:49:19.000Z

limonero/validation_errors.py

eubr-bigsea/limonero

54851b73bb1e4f5626b3d38ea7eeb50f3ed2e3c5

[ "Apache-2.0" ]

2

2019-11-05T13:45:45.000Z

2020-11-13T22:02:37.000Z

"""" Module used in order to extract Marshmallow validation errors to pyBabel """ from gettext import gettext def get_translations(): return [ gettext('Missing data for required field.'), ]

26.375

81

0.687204

25

211

5.76

0.88

0

0.227488

211

7

82

30.142857

0.883436

0.350711

0

0.246154

0

1

0.2

true

0

0.2

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

5

bdfc127652bd9eac516bce12603b41b6fad89f6c

325

py

Python

taskstack/app/routes/error_handlers.py

juliuskrahn/Taskstack

31de1e79610db50591c7a24dfad920477760125b

[ "MIT" ]

2

2020-08-17T19:34:42.000Z

2021-09-28T15:05:41.000Z

taskstack/app/routes/error_handlers.py

juliuskrahn/Taskstack

31de1e79610db50591c7a24dfad920477760125b

[ "MIT" ]

1

2020-11-09T20:03:13.000Z

taskstack/app/routes/error_handlers.py

juliuskrahn/Taskstack

31de1e79610db50591c7a24dfad920477760125b

[ "MIT" ]

null

from app import app, render_template @app.errorhandler(400) def error_404(e): return render_template('error/400.html.j2'), 400 @app.errorhandler(404) def error_404(e): return render_template('error/404.html.j2'), 404 @app.errorhandler(500) def error_500(e): return render_template('error/500.html.j2'), 500

19.117647

52

0.732308

51

325

4.529412

0.294118

0.242424

0.168831

0.272727

0.4329

0.320346

0

0.137324

0.126154

325

16

53

20.3125

0.676056

0

0.2

0

0.156923

0

1

0.3

false

0

0.1

0.3

0.7

0

null

1

0

1

0

null

0

1

0

1

0

5

da0fca7b41153351b459f98ff7164d7b9dda4822

16

py

Python

test04.py

Claire-qin/Wei.Repository

c5a7a49033feed618b3efcb237cc4c2ee83771b4

[ "MIT" ]

null

test04.py

Claire-qin/Wei.Repository

c5a7a49033feed618b3efcb237cc4c2ee83771b4

[ "MIT" ]

null

test04.py

Claire-qin/Wei.Repository

c5a7a49033feed618b3efcb237cc4c2ee83771b4

[ "MIT" ]

null

print('test04')

8

15

0.6875

2

16

5.5

1

0

0.133333

0.0625

16

1

16

0.6

0

0.375

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

da3aac96b001c753c414f6f342452c77422e9f63

69

py

Python

farms2face/prepacks/models.py

dev1farms2face/f2f

54e58187a68574bf2bd0dfb7e58a2b416336106a

[ "MIT" ]

null

farms2face/prepacks/models.py

dev1farms2face/f2f

54e58187a68574bf2bd0dfb7e58a2b416336106a

[ "MIT" ]

2

2016-05-13T18:52:58.000Z

2016-05-15T18:28:45.000Z

farms2face/prepacks/models.py

dev1farms2face/f2f

54e58187a68574bf2bd0dfb7e58a2b416336106a

[ "MIT" ]

2

2018-06-19T12:12:08.000Z

2018-06-25T18:45:36.000Z

from __future__ import unicode_literals from django.db import models

23

39

0.869565

10

69

5.5

0.8

0

0.115942

69

2

40

34.5

0.901639

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5