xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

110fb59e4051ce54f83d190e5c05e4b8388028c3

38

py

Python

tests/__init__.py

visze/seqIOLib

debffc753de96d0d2eacc3c49c4baab46b6f1795

[ "MIT" ]

2

2020-05-19T08:51:42.000Z

2021-04-04T12:07:10.000Z

tests/__init__.py

visze/seqIOLib

debffc753de96d0d2eacc3c49c4baab46b6f1795

[ "MIT" ]

1

2022-02-10T02:09:21.000Z

tests/__init__.py

visze/seqIOLib

debffc753de96d0d2eacc3c49c4baab46b6f1795

[ "MIT" ]

null

"""Unit test package for seqiolib."""

19

37

0.684211

5

38

5.2

1

0

0.131579

38

1

38

0.787879

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

fee967d484e353dee2c16c675df85cb62bc4dffd

6,499

py

Python

tests/manual_test_semantic_linefeed.py

evandrocoan/Sublime-Wrap-Plus

360a343b87c272e2ec97bbcce4e5555d2e10ad68

[ "MIT" ]

1

2018-12-08T21:44:51.000Z

tests/manual_test_semantic_linefeed.py

evandrocoan/Sublime-Wrap-Plus

360a343b87c272e2ec97bbcce4e5555d2e10ad68

[ "MIT" ]

3

2018-01-15T03:32:26.000Z

2019-05-10T06:40:43.000Z

tests/manual_test_semantic_linefeed.py

evandrocoan/Sublime-Wrap-Plus

360a343b87c272e2ec97bbcce4e5555d2e10ad68

[ "MIT" ]

1

2018-01-14T23:38:45.000Z

import os import sys import textwrap import unittest PACKAGE_ROOT_DIRECTORY = os.path.dirname( os.path.dirname( os.path.realpath( __file__ ) ) ) CURRENT_PACKAGE_NAME = os.path.basename( PACKAGE_ROOT_DIRECTORY ).rsplit('.', 1)[0] wrap_plus_module = sys.modules[CURRENT_PACKAGE_NAME + ".wrap_plus"] def run_manual_tests(): wrap_plus = wrap_plus_module.WrapLinesPlusCommand( None ) wrap_plus._width = 80 # print( str( wrap_plus.is_comma_separated_list( "1_ 2, 3_ 4_ 5", 4 ) ) + " 1_ 2, 3_ 4_ 5" ) # print( str( wrap_plus.is_comma_separated_list( "1 2, 3 4_5 6, 7", 3 ) ) + " 1 2, 3 4_5 6, 7" ) # print( str( wrap_plus.is_comma_separated_list( "1, 2_ 3_ 4_ 5", 1 ) ) + " 1, 2_ 3_ 4_ 5" ) # print( str( wrap_plus.is_comma_separated_list( "1 2, 3 4_5 6, 7", 3 ) ) + " 1 2, 3 4_5 6, 7" ) # print( str( "".join( wrap_plus.semantic_line_wrap( [ "1 2 3 4. 5 6 7, 1, 2, 3, 4, 5. 6 7 8 9 1" ], "% ", "% ", balance_characters_between_line_wraps=True ) ) ) ) wrap_plus.semantic_line_wrap( [ "% as boas práticas de programação (code clean, GOF, DEITEL (forminhas das boas práticas)). E deixa claro qual é o problema" ], "", "% ", balance_characters_between_line_wraps=True ) # print( str( wrap_plus.is_comma_separated_list( "% as boas práticas de programação (code clean, GOF, DEITEL (forminhas das boas práticas)). E deixa claro qual é o problema", 45 ) ) + " % as boas práticas de programação (code clean, GOF, DEITEL (forminhas das boas práticas)). E deixa claro qual é o problema" ) # wrap_plus.semantic_line_wrap( [ "you still only configuring a few languages closely related. On this case, C, C++, Java, Pawn, etc." ], "% ", "% ", balance_characters_between_line_wraps=True ) # wrap_plus.semantic_line_wrap( [ "you still only configuring a few languages closely related. On this case, C, C++, Java, Pawn, etc." ], "", "", balance_characters_between_line_wraps=True ) # wrap_plus.semantic_line_wrap( [ "you still only configuring a few languages closely related. On this case, C, C++, Java, Pawn, etc." ], "", "" ) # wrap_plus.semantic_line_wrap( [ "quitesometimequitesometimequitesometimequitesometimequitesometimequitesometimequitesometime" ], "", "" ) # wrap_plus.semantic_line_wrap( [ "which will not more take, you quite oh the time, some time, more time, the time, per time" ], "", "" ) # wrap_plus.semantic_line_wrap( [ "few languages closely related. On this case, C, C++, Java, Pawn, etc. more over break this line" ], "", "" ) # wrap_plus.semantic_line_wrap( [ "few languages close related. On this case, C, C++, Javas, Pawn, if, you, already, had, written, the, program, assure, everything, is, under, versioning, control, system, and, broke, everything, etc. more over break this line" ], "", "" ) # wrap_plus.semantic_line_wrap( [ "For all other languages you still need to find out another source code formatter tool, which will be certainly limited\\footnote{\\url{https://stackoverflow.com/questions/31438377/how-can-i-get-eclipse-to-wrap-lines-after-a-period-instead-of-before}}" ], "", "" ) # wrap_plus.semantic_line_wrap( [ "For all other languages you still need to find out another source code f tool, which" ], " ", " " ) wrapper = textwrap.TextWrapper(break_long_words=False, break_on_hyphens=False) wrap_plus = wrap_plus_module.WrapLinesPlusCommand( None ) wrap_plus._width = 50 wrapper.expand_tabs = False wrapper.subsequent_indent = " " # wrap_plus._split_lines( wrapper, [ "This is my very long line which my very long line which my_very_long_line_which_will_wrap_near_its_end," ], 50 ) # wrap_plus._split_lines( wrapper, [ "This is my very long line which will wrap near its end,\n" ], 50 ) # wrap_plus.balance_characters_between_line_wraps( wrapper, [ "This is my very long line which will wrap near its end,\n" ], " ", " " ) # wrap_plus.balance_characters_between_line_wraps( wrapper, [ "This is my very long line which will wrap near its end,", "This is my very long line which will wrap near its end," ], " ", " " ) # wrap_plus.balance_characters_between_line_wraps( wrapper, [ "% you still only configuring a few languages closely related. On this case, C, C++, Java, Pawn, etc." ], "% ", "% " ) # wrap_plus.balance_characters_between_line_wraps( wrapper, [ "% you still only configuring a few languages closely related.", "On this case, C, C++, Java, Pawn, etc." ], "% ", "% " ) line = "This is my very long line which will wrap near its end," # wrap_plus.calculate_lines_count( line, " ", " ", 50 ) indent = " " # wrap_plus.balance_characters_between_line_wraps( wrapper, ["% tests dd açsdkjflçk çalskdj fçlakj lçkasjd fçlakjs dçflkjadd açsdkjflçk çalskdj fçlakj lçkasjd fçlakjs dçflkja"], "% ", indent ) wrap_plus._width = 80 # wrap_plus.balance_characters_between_line_wraps( wrapper, ["% tests dd açsdkjflçk çalskdj fçlakj lçkasjd fçlakjs dçflkjadd açsdkjflçk çalskdj fçlakj lçkasjd fçlakjs dçflkja"], "% ", indent ) # wrap_plus.balance_characters_between_line_wraps( wrapper, [ "Inclui a IA para reconhecer o formatação nos módulos de beautifying.", "Ela eh uma heurística,", "que cada bloco implementa e faz ele gerar um arquivo de" ], "% ", "% " ) # wrap_plus.balance_characters_between_line_wraps( wrapper, [ "Inclui a IA para reconhecer o formatação nos módulos de beautifying.", "Ela eh uma heurística,", "que cada bloco implementa e faz ele gerar um arquivo de configuração que representa a atual formatação do código (aqui esta o verdadeiro desafio do trabalho,", "pesquise trabalhos correlatos).", ], "% ", "% " ) wrapper.subsequent_indent = " " # wrap_plus._split_lines( wrapper, [ " This is my very long line which will wrap near its end,\n" ], 50 ) wrap_plus._width = 80 wrapper.subsequent_indent = " " # wrap_plus._split_lines( wrapper, [ "In this proposal last chapter which lies on the part called `\\nameref{sec:software_implementation}'," ], 80 ) # wrap_plus.balance_characters_between_line_wraps( wrapper, [ "In this proposal last chapter which lies on the part called `\\nameref{sec:software_implementation}'," ], " ", " " )

91.535211

376

0.672103

897

6,499

4.652174

0.247492

0.076683

0.074766

0.087227

0.788641

0.765636

0.752217

0.740235

0.721783

0.709561

0

0.019397

0.214648

6,499

70

377

92.842857

0.798197

0.779658

0

0.363636

0

0.045455

0.196536

0

1

0.045455

false

0

0.181818

0

0.227273

0

null

0

1

0

null

0

5

3a05ccf2da5e69664e2e66b2e34cab9478468338

63

py

Python

core/kryptos/worker/__init__.py

czr1803/kryptos

2e8e20b81c7486283ab39df053146048f5496474

[ "MIT" ]

45

2019-01-27T13:47:51.000Z

2022-03-13T00:25:21.000Z

core/kryptos/worker/__init__.py

czr1803/kryptos

2e8e20b81c7486283ab39df053146048f5496474

[ "MIT" ]

64

2019-01-24T06:43:13.000Z

2020-03-09T17:14:52.000Z

core/kryptos/worker/__init__.py

produvia/kryptos

2e8e20b81c7486283ab39df053146048f5496474

[ "MIT" ]

4

2019-11-21T10:49:17.000Z

2021-09-30T03:33:00.000Z

from . import jobs, manager, worker from .jobs import run_strat

31.5

35

0.793651

10

63

4.9

0.7

0

0.142857

63

2

36

31.5

0.907407

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

28f740f9c24e1355e5678b06fb2b7c3a91b24115

75

py

Python

fmsquared/exceptions.py

ramadan8/FMSquared

3a443f825c929a5bac0af2c34b70344ca61ad378

[ "MIT" ]

null

fmsquared/exceptions.py

ramadan8/FMSquared

3a443f825c929a5bac0af2c34b70344ca61ad378

[ "MIT" ]

null

fmsquared/exceptions.py

ramadan8/FMSquared

3a443f825c929a5bac0af2c34b70344ca61ad378

[ "MIT" ]

null

class TooFewAlbums(Exception): pass class TooManyAlbums(Exception): pass

15

31

0.813333

8

75

7.625

0.625

0.42623

0

0.106667

75

5

32

15

0.910448

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

28f82861b02d0ad2b814dd3d2ca7d0502e5c0571

176

py

Python

app/sensors/__init__.py

kervi/can-bot

b75ee73af5440bd7a262c563c9f46390ed808085

[ "MIT" ]

null

app/sensors/__init__.py

kervi/can-bot

b75ee73af5440bd7a262c563c9f46390ed808085

[ "MIT" ]

null

app/sensors/__init__.py

kervi/can-bot

b75ee73af5440bd7a262c563c9f46390ed808085

[ "MIT" ]

null

""" Include the sensor modules that you have created here. Kervi will load the sensors that are imported here. """ #from . import my_sensor from . import system_sensors

25.142857

55

0.738636

26

176

4.923077

0.730769

0.15625

0

0.198864

176

6

56

29.333333

0.907801

0.75

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

28fa3267981efe4f4cb4fa96e37c0374485137e4

166

py

Python

web/app/homepage/__init__.py

cshields143/CHIME-2

c021ed805a3e4e8117a60b1fa2b5ceb7cf9efb6f

[ "MIT" ]

1

2020-07-11T06:51:08.000Z

web/app/homepage/__init__.py

cshields143/CHIME-2

c021ed805a3e4e8117a60b1fa2b5ceb7cf9efb6f

[ "MIT" ]

17

2020-05-20T02:09:32.000Z

2020-07-22T05:05:15.000Z

web/app/homepage/__init__.py

cshields143/CHIME-2

c021ed805a3e4e8117a60b1fa2b5ceb7cf9efb6f

[ "MIT" ]

2

2020-06-12T18:22:10.000Z

2020-07-21T21:51:57.000Z

# -*- coding: utf-8 -*- """Application homepage. Views and miscellaneous related to the application homepage or other pages that would not make sense elsewhere. """

23.714286

68

0.740964

22

166

5.590909

0.909091

0.308943

0

0.007143

0.156627

166

6

69

27.666667

0.871429

0.945783

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

3a6bba2302be3d08a3ae56bd834be272954e90c7

151

py

Python

django_modelapiview/__init__.py

TiphaineLAURENT/Django_APIView

83cf33f7af7263ab8a8451b867ea8f38b392cb6a

[ "BSD-2-Clause" ]

null

django_modelapiview/__init__.py

TiphaineLAURENT/Django_APIView

83cf33f7af7263ab8a8451b867ea8f38b392cb6a

[ "BSD-2-Clause" ]

2

2020-08-15T21:37:38.000Z

2020-08-18T19:25:02.000Z

django_modelapiview/__init__.py

TiphaineLAURENT/Django_APIView

83cf33f7af7263ab8a8451b867ea8f38b392cb6a

[ "BSD-2-Clause" ]

null

from .APIView import APIView from .ModelAPIView import ModelAPIView from .JSONMixin import JSONMixin from .Token import Token from .responses import *

25.166667

38

0.827815

19

151

6.578947

0.368421

0

0.13245

151

5

39

30.2

0.954198

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3a78191aa9680e8f457445dea7ce36368c3160c2

29

py

Python

g2p/__main__.py

Qw-cyber/eng-rus-test

63838fbd06336da7796eb87835cd80bfac0cce73

[ "MIT" ]

305

2019-09-02T19:59:03.000Z

2022-03-27T09:44:42.000Z

g2p/__main__.py

ks-sav/Multi-Tacotron-Voice-Cloning

62598a52260146a3da51b9044881e54a99525e53

[ "MIT" ]

28

2019-09-10T18:00:32.000Z

2021-10-01T07:24:27.000Z

g2p/__main__.py

ks-sav/Multi-Tacotron-Voice-Cloning

62598a52260146a3da51b9044881e54a99525e53

[ "MIT" ]

88

2019-08-27T07:14:53.000Z

2022-03-27T09:37:35.000Z

# from train import tn tn()

9.666667

21

0.655172

5

29

3.8

0.8

0

0.241379

29

3

22

9.666667

0.863636

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3a9dfa9773d3f9c9d2a8a359a59b0fb53edfd782

219

py

Python

app/external.py

greghaskins/launch-scrubber-kata

ca6e067cc88639ad640bb6d105ce8704fef2b15d

[ "MIT" ]

null

app/external.py

greghaskins/launch-scrubber-kata

ca6e067cc88639ad640bb6d105ce8704fef2b15d

[ "MIT" ]

null

app/external.py

greghaskins/launch-scrubber-kata

ca6e067cc88639ad640bb6d105ce8704fef2b15d

[ "MIT" ]

null

import random class WeatherStation: @property def current_temperature(self): return random.uniform(-3.1, 32.4) @property def current_wind_speed(self): return random.uniform(5.0, 50.0)

18.25

41

0.666667

29

219

4.931034

0.689655

0.153846

0.251748

0.321678

0

0.059524

0.232877

219

11

42

19.909091

0.791667

0

0.25

0

1

0.25

false

0

0.125

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3ac04b3fa72f0420684bb4166d32ea4a46e68ef0

220

py

Python

libetrv/fields/temperature.py

spin83/libetrv

3d1fead6ffaa02bf571d8416405bb6df41beef16

[ "Apache-2.0" ]

36

2019-06-20T09:00:19.000Z

2022-01-26T23:36:46.000Z

libetrv/fields/temperature.py

spin83/libetrv

3d1fead6ffaa02bf571d8416405bb6df41beef16

[ "Apache-2.0" ]

23

2019-05-10T09:47:05.000Z

2021-09-28T22:19:31.000Z

libetrv/fields/temperature.py

spin83/libetrv

3d1fead6ffaa02bf571d8416405bb6df41beef16

[ "Apache-2.0" ]

14

2019-10-28T01:29:29.000Z

2021-02-10T19:54:35.000Z

from .base import eTRVField class TemperatureField(eTRVField): def from_raw_value(self, raw_value, property): return raw_value * .5 def to_raw_value(self, value, property): return int(value*2)

22

50

0.7

30

220

4.933333

0.533333

0.216216

0.162162

0

0.011561

0.213636

220

9

51

24.444444

0.843931

0

1

0.333333

false

0

0.166667

0.333333

1

0

null

1

0

1

0

null

0

1

0

1

0

5

3ac1ba87ebd749892413cdd65173458a324e6c92

114

py

Python

BRATS/models/__init__.py

eanemo/KiU-Net-pytorch

9786f9741e2abf8bbf3601c6af301868ed8c3965

[ "MIT" ]

236

2020-06-08T06:49:54.000Z

2022-03-28T13:57:58.000Z

BRATS/models/__init__.py

guopengf/KiU-Net-pytorch

f56e79d7e89016e0ee13a081a9bee1ded1b68cba

[ "MIT" ]

28

2020-07-08T12:20:34.000Z

2022-03-14T12:27:36.000Z

BRATS/models/__init__.py

guopengf/KiU-Net-pytorch

f56e79d7e89016e0ee13a081a9bee1ded1b68cba

[ "MIT" ]

59

2020-06-12T01:19:29.000Z

2022-03-11T02:08:14.000Z

from .deepmedic import DeepMedic, VDeepMedic, DeepMedicNR from .unet import Unet from .munet import Modified3DUNet

38

57

0.842105

14

114

6.857143

0.571429

0

0.009901

0.114035

114

3

58

38

0.940594

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3ac68cb11e92f6ec5f4605d7954ee30623b555d9

751

py

Python

Base.py

charliezzo/ctfTools

8e428603b9780b38474ef356bbf1cdb96f2b1939

[ "Apache-2.0" ]

null

Base.py

charliezzo/ctfTools

8e428603b9780b38474ef356bbf1cdb96f2b1939

[ "Apache-2.0" ]

null

Base.py

charliezzo/ctfTools

8e428603b9780b38474ef356bbf1cdb96f2b1939

[ "Apache-2.0" ]

null

#coding=utf-8 import base64 import sys C='OMTAVAINBDKOBRJLCDOHXCKPXKDKBEOSDDCIDDKZJGMIHZJJBVULLNCKGSTNLDLBGPUFKZLEVLGZVGLRYGBJUGREJLMQSSSGADZRMQQGCZWSBFBLPUJSKPKPYZASDSHQSZQFVFGNUBWFGFDQUFAZRGUDGJPLVGRFESHPGKEEHKCKGECHDHBLNXPPSQZUFPFLXPJNGCKXDIDDSOPPPNSTSJFFBJVLKSPUPNBNDAWATABQIRRFSLUGLGJHLRSZBUYYVMQQMEQFLNWNFSDNOFFDSFVPJKZBAQGLIGQKAFFGYSSPGLOPRGFKWLLJVQPFYCZFTSPGDSWGCFXWMVWWEJOBKBKLWJDKHIIDBZRGQXJQJSXFGGFGMFGGTOXNQRDTYPNPD' try: print 'base16:' print base64.b16decode(C) except Exception,e: print u'不是base16加密' print '\n' try: print 'base32:' print base64.b32decode(C) except Exception,e: print u'不是base32加密' print '\n' try: print 'base64:' print base64.b64decode(C) except Exception,e: print u'不是base64加密'

30.04

389

0.838881

52

751

12.115385

0.442308

0.069841

0.07619

0.080952

0.109524

0

0.04

0.101198

751

24

390

31.291667

0.893333

0.015979

0

0.4

0

0.596206

0.52168

0

1

0

null

0

0.1

null

0.55

0

1

null

0

1

null

1

0

1

0

1

0

5

3ada7991069656ef7c1c9f9db214dccd58a15131

119

py

Python

jsonclasses_cli/package/swift/readme_content.py

zhichao-github/jsonclasses-cli

631235a438e6def77cef22601df9c3c91c8d38f7

[ "MIT" ]

null

jsonclasses_cli/package/swift/readme_content.py

zhichao-github/jsonclasses-cli

631235a438e6def77cef22601df9c3c91c8d38f7

[ "MIT" ]

null

jsonclasses_cli/package/swift/readme_content.py

zhichao-github/jsonclasses-cli

631235a438e6def77cef22601df9c3c91c8d38f7

[ "MIT" ]

3

2021-11-22T06:56:52.000Z

2021-12-07T02:39:22.000Z

def readme_content() -> str: return """ # API This package is generated by JSONClasses CLI. """.strip() + '\n'

19.833333

45

0.613445

15

119

4.8

1

0

0.218487

119

5

46

23.8

0.774194

0

1

0

0.495798

0

1

0.2

true

0

0.2

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

3adefa0cf4ae6848a895626d046705bf1cebc162

117

py

Python

scripts/portal/end_cygtuto.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

2

2020-08-25T06:55:19.000Z

2021-03-15T14:37:34.000Z

scripts/portal/end_cygtuto.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

null

scripts/portal/end_cygtuto.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

3

2020-08-25T06:55:25.000Z

2020-12-01T13:07:43.000Z

sm.startQuest(20838) sm.completeQuest(20838) sm.startQuest(20839) sm.giveExp(3500) sm.warp(130030006, 0) sm.dispose()

19.5

23

0.786325

18

117

5.111111

0.611111

0.26087

0

0.261261

0.051282

117

6

24

19.5

0.567568

0

1

0

true

0

1

0

null

1

0

1

0

1

0

null

0

1

0

5

c920ae0e66f84e25a11ae9dd3665e2753403884b

488

py

Python

utils/bowtie.py

yutian-zhao/networked-popularity

78ddfc254c3c226acbe56860399924fc11ef71e4

[ "MIT" ]

7

2019-08-13T03:48:04.000Z

2021-05-17T08:18:32.000Z

utils/bowtie.py

yutian-zhao/networked-popularity

78ddfc254c3c226acbe56860399924fc11ef71e4

[ "MIT" ]

null

utils/bowtie.py

yutian-zhao/networked-popularity

78ddfc254c3c226acbe56860399924fc11ef71e4

[ "MIT" ]

4

2019-08-22T02:32:29.000Z

2021-05-21T16:31:55.000Z

def is_in_component(scc, graph_embedding, largest_scc): # is scc an IN component to largest_scc? for src in scc: for tar in graph_embedding[src]: if tar in largest_scc: return True return False def is_out_component(scc, graph_embedding, largest_scc): # is scc an OUT component to largest_scc? for src in largest_scc: for tar in graph_embedding[src]: if tar in scc: return True return False

28.705882

56

0.635246

72

488

4.111111

0.25

0.202703

0.131757

0.175676

0.885135

0.722973

0.527027

0.236486

0

0.315574

488

16

57

30.5

0.886228

0.159836

0

0.5

0

1

0.166667

false

0

0.5

0

null

1

0

1

0

null

0

5

a3580098e4b77d86003a0879a39a11be3ab3053c

236

py

Python

floto/specs/retry_strategy/instant_retry.py

EpicWink/floto

eb0d93d032b5e14e304e350cee28f27cfe735b73

[ "MIT" ]

43

2016-02-29T17:44:57.000Z

2021-12-28T00:41:47.000Z

floto/specs/retry_strategy/instant_retry.py

EpicWink/floto

eb0d93d032b5e14e304e350cee28f27cfe735b73

[ "MIT" ]

9

2016-02-29T23:38:36.000Z

2016-09-02T21:48:00.000Z

floto/specs/retry_strategy/instant_retry.py

EpicWink/floto

eb0d93d032b5e14e304e350cee28f27cfe735b73

[ "MIT" ]

10

2016-02-29T16:53:09.000Z

2018-12-12T00:06:08.000Z

from floto.specs.retry_strategy import Strategy class InstantRetry(Strategy): def __init__(self, retries=None): self.retries = retries def is_task_resubmitted(self, failures): return failures <= self.retries

21.454545

47

0.720339

28

236

5.821429

0.642857

0.202454

0

0.199153

236

10

48

23.6

0.862434

0

1

0.333333

false

0

0.166667

0.833333

0

1

0

null

1

0

null

0

1

0

1

0

5

a38e0fa4467934ffe8baa30b78e64366f7918ed7

148

py

Python

napari/components/experimental/chunk/__init__.py

mrocklin/napari

b61d9ae570e30091a97b6c76e37cd95fe5b296b6

[ "BSD-3-Clause" ]

null

napari/components/experimental/chunk/__init__.py

mrocklin/napari

b61d9ae570e30091a97b6c76e37cd95fe5b296b6

[ "BSD-3-Clause" ]

1

2020-10-15T19:31:09.000Z

2020-10-15T19:39:33.000Z

napari/components/experimental/chunk/__init__.py

mrocklin/napari

b61d9ae570e30091a97b6c76e37cd95fe5b296b6

[ "BSD-3-Clause" ]

null

"""ChunkLoader and related. """ from ._loader import chunk_loader, synchronous_loading, wait_for_async from ._request import ChunkKey, ChunkRequest

29.6

70

0.817568

18

148

6.388889

0.833333

0

0.101351

148

4

71

37

0.864662

0.162162

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a39ed84d0855990be9b3d022f6bc6fdb9f45dafe

1,066

py

Python

tests/test_optionQuery.py

IanMadlenya/kaleidoscope

be3e28c1b4b958f81d8d67df03abebbebcf7965a

[ "MIT" ]

1

2020-08-30T15:29:04.000Z

tests/test_optionQuery.py

IanMadlenya/kaleidoscope

be3e28c1b4b958f81d8d67df03abebbebcf7965a

[ "MIT" ]

null

tests/test_optionQuery.py

IanMadlenya/kaleidoscope

be3e28c1b4b958f81d8d67df03abebbebcf7965a

[ "MIT" ]

2

2019-09-18T07:13:32.000Z

2020-11-20T18:15:18.000Z

from unittest import TestCase class TestOptionQuery(TestCase): def test_puts(self): self.fail() def test_calls(self): self.fail() def test_option_type(self): self.fail() def test_closest(self): self.fail() def test_offset(self): self.fail() def test_lte(self): self.fail() def test_gte(self): self.fail() def test_eq(self): self.fail() def test_lt(self): self.fail() def test_gt(self): self.fail() def test_ne(self): self.fail() def test_min(self): self.fail() def test_max(self): self.fail() def test_get(self): self.fail() def test_get_offset(self): self.fail() def test_get_underlying_price(self): self.fail() def test__convert(self): self.fail() def test__strip(self): self.fail() def test__compare(self): self.fail() def test__offset(self): self.fail() def test_fetch(self): self.fail()

15.910448

40

0.557223

137

1,066

4.124088

0.226277

0.260177

0.446018

0.530973

0.720354

0.283186

0.155752

0

0.321764

1,066

66

41

16.151515

0.781466

0

0.477273

0

1

0.477273

false

0

0.022727

0

0.522727

0

null

1

0

null

0

1

0

1

0

5

a3a0e4e4e4916dfbee497edfdcf04f6eb67d259e

5,892

py

Python

flowx/ins/_interface/_projection.py

akashdhruv/flowX

65b752c58a9da29f8508b4056d4aa3ac6d336d41

[ "MIT" ]

null

flowx/ins/_interface/_projection.py

akashdhruv/flowX

65b752c58a9da29f8508b4056d4aa3ac6d336d41

[ "MIT" ]

null

flowx/ins/_interface/_projection.py

akashdhruv/flowX

65b752c58a9da29f8508b4056d4aa3ac6d336d41

[ "MIT" ]

null

"""Routine to compute the predictor, corrector, and divergence.""" import numpy from . import _operators def predictor_euler(gridc, gridx, gridy, ivar, hvar, pres, Re, ifac, ipres): """Velocity prediction step in x and y direction. Arguments --------- gridx : grid object (x-direction) Grid containing data in x-direction. gridy : grid object (y-direction) Grid containing data in y-direction. ivar : string Name of the grid variable of the velocity solution. hvar : string Name of the grid variable to store convective + diffusion terms. Re : float Reynolds number. ifac : float Time-step size. """ hx = gridx[hvar][0,0,:,:] hy = gridy[hvar][0,0,:,:] dx, dy = gridx.dx, gridy.dy p = gridc[pres][0,0,:,:] hx[1:-1, 1:-1] = (_operators.convective_facex(gridx, gridy, ivar) + _operators.diffusion(gridx, ivar, 1 / Re)) hy[1:-1, 1:-1] = (_operators.convective_facey(gridx, gridy, ivar) + _operators.diffusion(gridy, ivar, 1 / Re)) u = gridx[ivar][0,0,:,:] v = gridy[ivar][0,0,:,:] u[1:-1, 1:-1] = u[1:-1, 1:-1] + ifac * hx[1:-1, 1:-1] - ifac * ipres * (p[1:-1, 2:-1] - p[1:-1, 1:-2]) / dx v[1:-1, 1:-1] = v[1:-1, 1:-1] + ifac * hy[1:-1, 1:-1] - ifac * ipres * (p[2:-1, 1:-1] - p[1:-2, 1:-1]) / dy return def predictor_ab2(gridc, gridx, gridy, ivar, hvar, pres, Re, ifac, ipres): """Velocity prediction step in x and y direction. Arguments --------- gridx : grid object (x-direction) Grid containing data in x-direction. gridy : grid object (y-direction) Grid containing data in y-direction. ivar : string Name of the grid variable of the velocity solution. hvar : string Name of the grid variable to store convective + diffusion terms. Re : float Reynolds number. ifac : float Time-step size. """ hx_old = gridx[hvar][0,0,:,:] hy_old = gridy[hvar][0,0,:,:] dx, dy = gridx.dx, gridy.dy p = gridc[pres][0,0,:,:] hx_new = (_operators.convective_facex(gridx, gridy, ivar) + _operators.diffusion(gridx, ivar, 1 / Re)) hy_new = (_operators.convective_facey(gridx, gridy, ivar) + _operators.diffusion(gridy, ivar, 1 / Re)) u = gridx[ivar][0,0,:,:] v = gridy[ivar][0,0,:,:] u[1:-1, 1:-1] = u[1:-1, 1:-1] + ifac * (1.5 * hx_new - 0.5 * hx_old[1:-1, 1:-1]) \ - ifac * ipres * (p[1:-1, 2:-1] - p[1:-1, 1:-2]) / dx v[1:-1, 1:-1] = v[1:-1, 1:-1] + ifac * (1.5 * hy_new - 0.5 * hy_old[1:-1, 1:-1]) \ - ifac * ipres * (p[2:-1, 1:-1] - p[1:-2, 1:-1]) / dy hx_old[1:-1,1:-1] = hx_new hy_old[1:-1,1:-1] = hy_new return def predictor_rk3(gridc, gridx, gridy, ivar, hvar, pres, Re, ifac, ipres, hconst): """Velocity prediction step in x and y direction. Arguments --------- gridx : grid object (x-direction) Grid containing data in x-direction. gridy : grid object (y-direction) Grid containing data in y-direction. ivar : string Name of the grid variable of the velocity solution. hvar : string Name of the grid variable to store convective + diffusion terms. Re : float Reynolds number. ifac : float Time-step size. """ hx = gridx[hvar][0,0,:,:] hy = gridy[hvar][0,0,:,:] dx, dy = gridx.dx, gridy.dy p = gridc[pres][0,0,:,:] hx[1:-1, 1:-1] = (_operators.convective_facex(gridx, gridy, ivar) + _operators.diffusion(gridx, ivar, 1 / Re)) + hconst * hx[1:-1,1:-1] hy[1:-1, 1:-1] = (_operators.convective_facey(gridx, gridy, ivar) + _operators.diffusion(gridy, ivar, 1 / Re)) + hconst * hy[1:-1,1:-1] u = gridx[ivar][0,0,:,:] v = gridy[ivar][0,0,:,:] u[1:-1, 1:-1] = u[1:-1, 1:-1] + ifac * hx[1:-1, 1:-1] v[1:-1, 1:-1] = v[1:-1, 1:-1] + ifac * hy[1:-1, 1:-1] return def divergence(gridc, gridx, gridy, ivar, dvar, ifac=1.0): """Compute the divergence of the variable tagged "ivar". Arguments --------- gridc : grid object Grid containing data in on cell centers. gridx : grid object (x-direction) Grid containing data in x-direction. gridy : grid object (y-direction) Grid containing data in y-direction. ivar : string Name of the face-centered grid variable for velocity. dvar : string Name of the cell-centered grid variable to store divergence. ifac : float (optional) Multiplying factor for time-step; default: 1.0. """ u = gridx[ivar][0,0,:,:] v = gridy[ivar][0,0,:,:] div = gridc[dvar][0,0,:,:] dx, dy = gridc.dx, gridc.dy div[1:-1, 1:-1] = ((u[1:-1, 1:] - u[1:-1, :-1]) / dx + (v[1:, 1:-1] - v[:-1, 1:-1]) / dy) / ifac return def corrector(gridc, gridx, gridy, ivar, pvar, delp, ifac, ipres): """Velocity correction in x and y direction. Arguments --------- gridc : grid object (cell center) Grid contaning data in cell center. gridx : grid object (x-direction) Grid containing data in x-direction. gridy : grid object (y-direction) Grid containing data in y-direction. ivar : string Name of the grid variable of the velocity solution. pvar : string Name of the grid variable of the pressure solution. ifac : float Time-step size. """ u = gridx[ivar][0,0,:,:] v = gridy[ivar][0,0,:,:] p = gridc[pvar][0,0,:,:] dp = gridc[delp][0,0,:,:] dx, dy = gridx.dx, gridy.dy u[:,:] = u[:, :] - ifac * (dp[:, 1:] - dp[:, :-1]) / dx v[: :] = v[:, :] - ifac * (dp[1:, :] - dp[:-1, :]) / dy p[:,:] = ipres*p[:,:] + dp[:,:] return

30.528497

111

0.544637

879

5,892

3.612059

0.100114

0.063622

0.058583

0.034016

0.772913

0.750551

0.735748

0.731024

0.710236

0.698268

0

0.051985

0.281738

5,892

192

112

30.6875

0.698251

0.398167

0

0.515152

0

1

0.075758

false

0

0.030303

0

0.181818

0

null

0

1

0

null

0

5

a3a3cc9b789a27a5a034b888974f8e30178087c9

4,515

py

Python

pyaz/webapp/config/backup/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/webapp/config/backup/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/webapp/config/backup/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

1

2022-02-03T09:12:01.000Z

''' Manage backups for web apps. ''' from .... pyaz_utils import _call_az def list(resource_group, webapp_name, slot=None): ''' List backups of a web app. Required Parameters: - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` - webapp_name -- The name of the web app Optional Parameters: - slot -- the name of the slot. Default to the productions slot if not specified ''' return _call_az("az webapp config backup list", locals()) def show(resource_group, webapp_name, slot=None): ''' Show the backup schedule for a web app. Required Parameters: - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` - webapp_name -- The name of the web app Optional Parameters: - slot -- the name of the slot. Default to the productions slot if not specified ''' return _call_az("az webapp config backup show", locals()) def create(container_url, resource_group, webapp_name, backup_name=None, db_connection_string=None, db_name=None, db_type=None, slot=None): ''' Create a backup of a web app. Required Parameters: - container_url -- URL with SAS token to the blob storage container - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` - webapp_name -- The name of the web app Optional Parameters: - backup_name -- Name of the backup. If unspecified, the backup will be named with the web app name and a timestamp - db_connection_string -- Connection string for the database in the backup - db_name -- Name of the database in the backup - db_type -- Type of database in the backup - slot -- the name of the slot. Default to the productions slot if not specified ''' return _call_az("az webapp config backup create", locals()) def update(resource_group, webapp_name, backup_name=None, container_url=None, db_connection_string=None, db_name=None, db_type=None, frequency=None, retain_one=None, retention=None, slot=None): ''' Configure a new backup schedule for a web app. Required Parameters: - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` - webapp_name -- The name of the web app Optional Parameters: - backup_name -- Name of the backup. If unspecified, the backup will be named with the web app name and a timestamp - container_url -- URL with SAS token to the blob storage container - db_connection_string -- Connection string for the database in the backup - db_name -- Name of the database in the backup - db_type -- Type of database in the backup - frequency -- How often to backup. Use a number followed by d or h, e.g. 5d = 5 days, 2h = 2 hours - retain_one -- Always keep one backup, regardless of how old it is - retention -- How many days to keep a backup before automatically deleting it. Set to 0 for indefinite retention - slot -- the name of the slot. Default to the productions slot if not specified ''' return _call_az("az webapp config backup update", locals()) def restore(backup_name, container_url, resource_group, webapp_name, db_connection_string=None, db_name=None, db_type=None, ignore_hostname_conflict=None, overwrite=None, slot=None, target_name=None): ''' Restore a web app from a backup. Required Parameters: - backup_name -- Name of the backup to restore - container_url -- URL with SAS token to the blob storage container - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` - webapp_name -- The name of the web app Optional Parameters: - db_connection_string -- Connection string for the database in the backup - db_name -- Name of the database in the backup - db_type -- Type of database in the backup - ignore_hostname_conflict -- Ignores custom hostnames stored in the backup - overwrite -- Overwrite the source web app, if --target-name is not specified - slot -- the name of the slot. Default to the productions slot if not specified - target_name -- The name to use for the restored web app. If unspecified, will default to the name that was used when the backup was created ''' return _call_az("az webapp config backup restore", locals())

47.03125

200

0.718272

680

4,515

4.655882

0.170588

0.039798

0.045483

0.037903

0.74542

0.701832

0.65856

0

0.001399

0.208195

4,515

95

201

47.526316

0.884196

0.713843

0

0.143555

0

1

0.454545

false

0

0.090909

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

6e6bf49d03052fb4ade36825a3a4453543dedb60

7,177

py

Python

external_libs/spglib-1.9.9/python/test/test_reciprocal_mesh.py

shunsuke-sato/octopus

dcf68a185cdb13708395546b1557ca46aed969f6

[ "Apache-2.0" ]

4

2016-11-17T09:03:11.000Z

2019-10-17T06:31:08.000Z

external_libs/spglib-1.9.9/python/test/test_reciprocal_mesh.py

shunsuke-sato/octopus

dcf68a185cdb13708395546b1557ca46aed969f6

[ "Apache-2.0" ]

1

2020-08-11T19:14:06.000Z

external_libs/spglib-1.9.9/python/test/test_reciprocal_mesh.py

shunsuke-sato/octopus

dcf68a185cdb13708395546b1557ca46aed969f6

[ "Apache-2.0" ]

5

2016-11-22T20:30:46.000Z

2020-05-29T23:24:51.000Z

import unittest try: from StringIO import StringIO except ImportError: from io import StringIO import numpy as np from spglib import (get_ir_reciprocal_mesh, get_stabilized_reciprocal_mesh, get_symmetry_dataset, get_symmetry_from_database) from vasp import read_vasp result_ir_rec_mesh = (""" 0 0 0 0 1 1 0 0 2 2 0 0 1 -1 0 0 1 0 1 0 5 1 1 0 6 2 1 0 5 -1 1 0 2 0 2 0 6 1 2 0 10 2 2 0 6 -1 2 0 1 0 -1 0 5 1 -1 0 6 2 -1 0 5 -1 -1 0 1 0 0 1 5 1 0 1 6 2 0 1 5 -1 0 1 5 0 1 1 21 1 1 1 22 2 1 1 21 -1 1 1 6 0 2 1 22 1 2 1 26 2 2 1 22 -1 2 1 5 0 -1 1 21 1 -1 1 22 2 -1 1 21 -1 -1 1 2 0 0 2 6 1 0 2 10 2 0 2 6 -1 0 2 6 0 1 2 22 1 1 2 26 2 1 2 22 -1 1 2 10 0 2 2 26 1 2 2 42 2 2 2 26 -1 2 2 6 0 -1 2 22 1 -1 2 26 2 -1 2 22 -1 -1 2 1 0 0 -1 5 1 0 -1 6 2 0 -1 5 -1 0 -1 5 0 1 -1 21 1 1 -1 22 2 1 -1 21 -1 1 -1 6 0 2 -1 22 1 2 -1 26 2 2 -1 22 -1 2 -1 5 0 -1 -1 21 1 -1 -1 22 2 -1 -1 21 -1 -1 -1""", """ 0 0 0 0 1 1 0 0 2 2 0 0 1 -1 0 0 1 0 1 0 5 1 1 0 5 2 1 0 1 -1 1 0 2 0 2 0 5 1 2 0 2 2 2 0 5 -1 2 0 1 0 -1 0 1 1 -1 0 5 2 -1 0 5 -1 -1 0 16 0 0 1 17 1 0 1 18 2 0 1 17 -1 0 1 17 0 1 1 21 1 1 1 21 2 1 1 17 -1 1 1 18 0 2 1 21 1 2 1 18 2 2 1 21 -1 2 1 17 0 -1 1 17 1 -1 1 21 2 -1 1 21 -1 -1 1""") result_ir_rec_mesh_distortion = (""" 0 0 0 0 1 1 0 0 1 -1 0 0 3 0 1 0 4 1 1 0 4 -1 1 0 6 0 2 0 7 1 2 0 7 -1 2 0 3 0 -1 0 4 1 -1 0 4 -1 -1 0 3 0 0 1 4 1 0 1 4 -1 0 1 15 0 1 1 16 1 1 1 16 -1 1 1 18 0 2 1 19 1 2 1 19 -1 2 1 15 0 -1 1 16 1 -1 1 16 -1 -1 1 6 0 0 2 7 1 0 2 7 -1 0 2 18 0 1 2 19 1 1 2 19 -1 1 2 30 0 2 2 31 1 2 2 31 -1 2 2 18 0 -1 2 19 1 -1 2 19 -1 -1 2 3 0 0 -1 4 1 0 -1 4 -1 0 -1 15 0 1 -1 16 1 1 -1 16 -1 1 -1 18 0 2 -1 19 1 2 -1 19 -1 2 -1 15 0 -1 -1 16 1 -1 -1 16 -1 -1 -1""", """ 0 0 0 0 1 1 0 0 1 -1 0 0 3 0 1 0 4 1 1 0 5 -1 1 0 6 0 2 0 7 1 2 0 8 -1 2 0 6 0 -2 0 8 1 -2 0 7 -1 -2 0 3 0 -1 0 5 1 -1 0 4 -1 -1 0""", """ 0 0 0 0 1 1 0 0 1 -1 0 0 3 0 1 0 4 1 1 0 4 -1 1 0 3 0 2 0 4 1 2 0 4 -1 2 0 0 0 -1 0 1 1 -1 0 1 -1 -1 0 12 0 0 1 13 1 0 1 13 -1 0 1 15 0 1 1 16 1 1 1 16 -1 1 1 15 0 2 1 16 1 2 1 16 -1 2 1 12 0 -1 1 13 1 -1 1 13 -1 -1 1 24 0 0 2 25 1 0 2 25 -1 0 2 27 0 1 2 28 1 1 2 28 -1 1 2 27 0 2 2 28 1 2 2 28 -1 2 2 24 0 -1 2 25 1 -1 2 25 -1 -1 2 12 0 0 -1 13 1 0 -1 13 -1 0 -1 15 0 1 -1 16 1 1 -1 16 -1 1 -1 15 0 2 -1 16 1 2 -1 16 -1 2 -1 12 0 -1 -1 13 1 -1 -1 13 -1 -1 -1""", """ 0 0 0 0 1 1 0 0 2 -1 0 0 3 0 1 0 4 1 1 0 5 -1 1 0 6 0 2 0 7 1 2 0 7 -1 2 0 3 0 -2 0 5 1 -2 0 4 -1 -2 0 0 0 -1 0 2 1 -1 0 1 -1 -1 0""") class TestReciprocalMesh(unittest.TestCase): def setUp(self): pass def tearDown(self): pass def test_get_ir_reciprocal_mesh(self): file_and_mesh = (["cubic/POSCAR-217", [4, 4, 4]], ["hexagonal/POSCAR-182", [4, 4, 2]]) i = 0 for fname, mesh in file_and_mesh: cell = read_vasp("./data/%s" % fname) ir_rec_mesh = get_ir_reciprocal_mesh(mesh, cell) (mapping_table, grid_address) = ir_rec_mesh # for gp, ga in zip(mapping_table, grid_address): # print("%4d %3d %3d %3d" % (gp, ga[0], ga[1], ga[2])) # print("") data = np.loadtxt(StringIO(result_ir_rec_mesh[i]), dtype='intc') np.testing.assert_equal(data[:, 0], mapping_table) np.testing.assert_equal(data[:, 1:4], grid_address) i += 1 def test_get_stabilized_reciprocal_mesh(self): file_and_mesh = (["cubic/POSCAR-217", [4, 4, 4]], ["hexagonal/POSCAR-182", [4, 4, 2]]) i = 0 for fname, mesh in file_and_mesh: cell = read_vasp("./data/%s" % fname) rotations = get_symmetry_dataset(cell)['rotations'] ir_rec_mesh = get_stabilized_reciprocal_mesh(mesh, rotations) (mapping_table, grid_address) = ir_rec_mesh data = np.loadtxt(StringIO(result_ir_rec_mesh[i]), dtype='intc') np.testing.assert_equal(data[:, 0], mapping_table) np.testing.assert_equal(data[:, 1:4], grid_address) i += 1 def test_get_ir_reciprocal_mesh_distortion(self): file_and_mesh = (["cubic/POSCAR-217", [3, 4, 4]], ["hexagonal/POSCAR-182", [3, 5, 1]]) i = 0 for is_shift in ([0, 0, 0], [0, 1, 0]): for fname, mesh in file_and_mesh: cell = read_vasp("./data/%s" % fname) ir_rec_mesh = get_ir_reciprocal_mesh(mesh, cell, is_shift=is_shift) (mapping_table, grid_address) = ir_rec_mesh # for gp, ga in zip(mapping_table, grid_address): # print("%4d %3d %3d %3d" % (gp, ga[0], ga[1], ga[2])) # print("") data = np.loadtxt(StringIO(result_ir_rec_mesh_distortion[i]), dtype='intc') np.testing.assert_equal(data[:, 0], mapping_table) np.testing.assert_equal(data[:, 1:4], grid_address) i += 1 if __name__ == '__main__': suite = unittest.TestLoader().loadTestsFromTestCase(TestReciprocalMesh) unittest.TextTestRunner(verbosity=2).run(suite) # unittest.main()

24.411565

77

0.38498

1,280

7,177

2.070313

0.080469

0.096604

0.043019

0.022642

0.791321

0.741887

0.676604

0.615849

0

0.3192

0.53337

7,177

293

78

24.494881

0.472081

0.034415

0

0.350181

0

0.599971

0

0.021661

1

0.018051

false

0.00722

0.025271

0

0.046931

0

null

0

1

0

1

0

1

0

1

0

null

0

5

6e7a7c73a424886127ad8e9d45de7695964a90a4

214

py

Python

B_bit_magic/C_operation_xor.py

Princeton21/DSA

0f2321b284fc54f4ddf73733cc1a8d05e549aeea

[ "MIT" ]

58

2021-01-06T10:05:51.000Z

2022-02-10T05:15:19.000Z

B_bit_magic/C_operation_xor.py

Princeton21/DSA

0f2321b284fc54f4ddf73733cc1a8d05e549aeea

[ "MIT" ]

5

2021-02-22T04:14:24.000Z

2021-12-26T09:19:17.000Z

B_bit_magic/C_operation_xor.py

Princeton21/DSA

0f2321b284fc54f4ddf73733cc1a8d05e549aeea

[ "MIT" ]

27

2021-02-09T13:58:33.000Z

2022-03-06T03:48:08.000Z

def method1(n: int, m: int) -> bin: return bin(n ^ m) if __name__ == "__main__": """ from timeit import timeit print(timeit(lambda: method1(60, 13), number=10000)) # 0.0017356749999635213 """

21.4

80

0.61215

28

214

4.392857

0.75

0

0.187879

0.228972

214

9

81

23.777778

0.557576

0

0.086957

0

1

0.333333

false

0

0.333333

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6e97e46428ba32c6e5bbc9f9e9653afacbfcc94a

231

py

Python

apps/__init__.py

bryangators/trafficPro

81db78b7ec8ab94da81a28d2643816de01ca6a55

[ "MIT" ]

null

apps/__init__.py

bryangators/trafficPro

81db78b7ec8ab94da81a28d2643816de01ca6a55

[ "MIT" ]

7

2022-03-16T23:06:49.000Z

2022-03-17T22:59:57.000Z

apps/__init__.py

bryangators/trafficPro

81db78b7ec8ab94da81a28d2643816de01ca6a55

[ "MIT" ]

null

from apps.login_app import LoginApp from apps.signup import SignUpApp from apps.about import About from apps.contact import Contact from apps.home import Home from apps.state import State from apps.myloading_app import MyLoadingApp

33

43

0.852814

37

231

5.27027

0.378378

0.287179

0

0.116883

231

7

43

33

0.955882

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

6eec29bdf874bf9dc6b32e855d85024d3a1eadbd

481

py

Python

src/util/util.py

timothy-ch-cheung/rws-algorithms

8ae948af53b8c0ad16450a505ff0c575afe9cbe8

[ "MIT" ]

null

src/util/util.py

timothy-ch-cheung/rws-algorithms

8ae948af53b8c0ad16450a505ff0c575afe9cbe8

[ "MIT" ]

null

src/util/util.py

timothy-ch-cheung/rws-algorithms

8ae948af53b8c0ad16450a505ff0c575afe9cbe8

[ "MIT" ]

null

def get_nth_bit_from_right(binary, n): """ :param binary: value to extract a bit from :param n: nth bit to extract (0 indexed) :return: nth bit from right """ return (binary & (1 << n)) >> n def get_nth_bit_from_left(binary, n): """ :param binary: value to extract a bit from :param n: nth bit to extract (0 indexed) :return: nth bit from left """ return get_nth_bit_from_right(binary, binary.bit_length() - n - 1)

28.294118

70

0.613306

75

481

3.76

0.253333

0.148936

0.177305

0.138298

0.819149

0.751773

0.602837

0

0.011494

0.276507

481

16

71

30.0625

0.798851

0.461538

0

1

0.5

false

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

42b2dd3728d648b34cbf920f09b27bd7c7b0956d

22

py

Python

tests/commands/bootstrap/sitecustomize.py

zhammer/dd-trace-py

4c30f6e36bfa34a63cd9b6884677c977f76d2a01

[ "Apache-2.0", "BSD-3-Clause" ]

308

2016-12-07T16:49:27.000Z

2022-03-15T10:06:45.000Z

tests/commands/bootstrap/sitecustomize.py

zhammer/dd-trace-py

4c30f6e36bfa34a63cd9b6884677c977f76d2a01

[ "Apache-2.0", "BSD-3-Clause" ]

1,928

2016-11-28T17:13:18.000Z

2022-03-31T21:43:19.000Z

tests/commands/bootstrap/sitecustomize.py

zhammer/dd-trace-py

4c30f6e36bfa34a63cd9b6884677c977f76d2a01

[ "Apache-2.0", "BSD-3-Clause" ]

311

2016-11-27T03:01:49.000Z

2022-03-18T21:34:03.000Z

CORRECT_IMPORT = True

11

21

0.818182

3

22

5.666667

1

0

0.136364

22

1

22

0.894737

0

1

0

false

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

42ccc58adbeb3a9e627c405c1dcceaf5a68dc425

137

py

Python

CodeWars/7 Kyu/More than Zero.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/7 Kyu/More than Zero.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/7 Kyu/More than Zero.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

def corrections(x): if x > 0: return f'{x} is more than zero.' else: return f'{x} is equal to or less than zero.'

27.4

52

0.554745

24

137

3.166667

0.666667

0.184211

0.210526

0.263158

0

0.01087

0.328467

137

5

52

27.4

0.815217

0

0.405797

0

1

0.2

false

0

0.6

0

1

0

null

0

1

0

1

0

null

0

1

0

5

42db688110e6e23a6a13d5ad07a2073343b0df45

26

py

Python

Start.py

rougetimelord/dm-welcome-bot

69c2bb1404e57de0500361711db076f14b6fc522

[ "Unlicense" ]

null

Start.py

rougetimelord/dm-welcome-bot

69c2bb1404e57de0500361711db076f14b6fc522

[ "Unlicense" ]

null

Start.py

rougetimelord/dm-welcome-bot

69c2bb1404e57de0500361711db076f14b6fc522

[ "Unlicense" ]

null

import src src.main()

6.5

11

0.615385

4

26

4

0.75

0

0.269231

26

3

12

8.666667

0.842105

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6e099a51f0181ed3270bd259faf33dce2e76a58a

296

py

Python

knlp/passage_summary/inference.py

ERICMIAO0817/knlp

56052e49be87d604839d8f81a7295c73a5ac62cf

[ "MIT" ]

19

2021-03-17T02:15:18.000Z

2021-12-14T04:46:21.000Z

knlp/passage_summary/inference.py

ERICMIAO0817/knlp

56052e49be87d604839d8f81a7295c73a5ac62cf

[ "MIT" ]

4

2022-03-08T16:28:18.000Z

2022-03-28T15:11:11.000Z

knlp/passage_summary/inference.py

ERICMIAO0817/knlp

56052e49be87d604839d8f81a7295c73a5ac62cf

[ "MIT" ]

7

2021-03-17T02:15:23.000Z

2022-03-17T15:41:04.000Z

#!/usr/bin/python # -*- coding:UTF-8 -*- # -----------------------------------------------------------------------# # File Name: inference # Author: Junyi Li # Mail: 4ljy@163.com # Created Time: 2021-01-28 # Description: # -----------------------------------------------------------------------#

29.6

74

0.324324

22

296

4.363636

1

0

0.048148

0.087838

296

9

75

32.888889

0.307407

0.932432

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

6e26b353bb195ebc722aaabe8661faa7134c6a39

12,638

py

Python

shutit_patterns/vagrant.py

Kafkamorph/shutit

e281be48d6f102518506ad07754116452781a369

[ "MIT" ]

null

shutit_patterns/vagrant.py

Kafkamorph/shutit

e281be48d6f102518506ad07754116452781a369

[ "MIT" ]

null

shutit_patterns/vagrant.py

Kafkamorph/shutit

e281be48d6f102518506ad07754116452781a369

[ "MIT" ]

null

import os import shutit_global from . import shutitfile def setup_vagrant_pattern(skel_path, skel_delivery, skel_domain, skel_module_name, skel_shutitfiles, skel_domain_hash, skel_depends): shutit = shutit_global.shutit # run.sh runsh_filename = skel_path + '/run.sh' runsh_file = open(runsh_filename,'w+') runsh_file.write('''#!/bin/bash bash ./destroy_vms.sh [[ -z "$SHUTIT" ]] && SHUTIT="$1/shutit" [[ ! -a "$SHUTIT" ]] || [[ -z "$SHUTIT" ]] && SHUTIT="$(which shutit)" if [[ ! -a "$SHUTIT" ]] then echo "Must have shutit on path, eg export PATH=$PATH:/path/to/shutit_dir" exit 1 fi $SHUTIT build -d bash -m shutit-library/vagrant -m shutit-library/virtualbox "$@" if [[ $? != 0 ]] then exit 1 fi''') runsh_file.close() os.chmod(runsh_filename,0o755) # destroy_vms.sh destroyvmssh_filename = skel_path + '/destroy_vms.sh' destroyvmssh_file = open(destroyvmssh_filename,'w+') destroyvmssh_file.write(''' #!/bin/bash if [[ $(command -v VBoxManage) != '' ]] then while true do VBoxManage list runningvms | grep ''' + skel_module_name + ''' | awk '{print $1}' | xargs -IXXX VBoxManage controlvm 'XXX' poweroff && VBoxManage list vms | grep ''' + skel_module_name + ''' | awk '{print $1}' | xargs -IXXX VBoxManage unregistervm 'XXX' --delete # The xargs removes whitespace if [[ $(VBoxManage list vms | grep ''' + skel_module_name + ''' | wc -l | xargs) -eq '0' ]] then break else ps -ef | grep virtualbox | grep ''' + skel_module_name + ''' | awk '{print $2}' | xargs kill sleep 10 fi done fi''') destroyvmssh_file.close() os.chmod(destroyvmssh_filename,0o755) # build.cnf file os.system('mkdir -p ' + skel_path + '/configs') os.system('git init') os.system('git submodule init') os.system('git submodule add https://github.com/ianmiell/shutit-library') # User message shutit.log('''# Run: cd ''' + skel_path + ''' && ./run.sh # to run.''',transient=True) # Handle shutitfiles if skel_shutitfiles: _total = len(skel_shutitfiles) _count = 0 for skel_shutitfile in skel_shutitfiles: _count += 1 module_modifier = '_' + str(_count) new_module_filename = skel_path + '/' + os.path.join(skel_module_name + module_modifier + '.py') shutit.cfg['skeleton']['module_modifier'] = module_modifier (sections, skel_module_id, skel_module_name, default_include, ok) = shutitfile.shutitfile_to_shutit_module(skel_shutitfile,skel_path,skel_domain,skel_module_name,skel_domain_hash,skel_delivery,skel_depends,_count,_total,module_modifier) shutit.cfg['skeleton']['header_section'] = sections['header_section'] shutit.cfg['skeleton']['config_section'] = sections['config_section'] shutit.cfg['skeleton']['build_section'] = sections['build_section'] shutit.cfg['skeleton']['finalize_section'] = sections['finalize_section'] shutit.cfg['skeleton']['test_section'] = sections['test_section'] shutit.cfg['skeleton']['isinstalled_section'] = sections['isinstalled_section'] shutit.cfg['skeleton']['start_section'] = sections['start_section'] shutit.cfg['skeleton']['stop_section'] = sections['stop_section'] shutit.cfg['skeleton']['final_section'] = sections['final_section'] module_file = open(new_module_filename,'w+') if _count == 1 or True: module_file.write("""import random import string """ + shutit.cfg['skeleton']['header_section'] + """ def build(self, shutit): vagrant_image = shutit.cfg[self.module_id]['vagrant_image'] vagrant_provider = shutit.cfg[self.module_id]['vagrant_provider'] gui = shutit.cfg[self.module_id]['gui'] memory = shutit.cfg[self.module_id]['memory'] module_name = '""" + skel_module_name + """_' + ''.join(random.choice(string.ascii_letters + string.digits) for _ in range(6)) shutit.send('rm -rf /tmp/' + module_name + ' && mkdir -p /tmp/' + module_name + ' && cd /tmp/' + module_name) shutit.send('vagrant init ' + vagrant_image) shutit.send_file('/tmp/' + module_name + '/Vagrantfile',''' Vagrant.configure(2) do |config| config.vm.box = "''' + vagrant_image + '''" # config.vm.box_check_update = false # config.vm.network "forwarded_port", guest: 80, host: 8080 # config.vm.network "private_network", ip: "192.168.33.10" # config.vm.network "public_network" # config.vm.synced_folder "../data", "/vagrant_data" config.vm.provider "virtualbox" do |vb| vb.gui = ''' + gui + ''' vb.memory = "''' + memory + '''" vb.name = """ + '"' + skel_module_name + '''"''' + """ end end''') shutit.send('vagrant up --provider virtualbox',timeout=99999) shutit.login(command='vagrant ssh') shutit.login(command='sudo su -',password='vagrant') """ + shutit.cfg['skeleton']['build_section'] + """ shutit.logout() shutit.logout() return True def get_config(self, shutit): shutit.get_config(self.module_id,'vagrant_image',default='ubuntu/trusty64') shutit.get_config(self.module_id,'vagrant_provider',default='virtualbox') shutit.get_config(self.module_id,'gui',default='false') shutit.get_config(self.module_id,'memory',default='1024') """ + shutit.cfg['skeleton']['config_section'] + """ return True def test(self, shutit): """ + shutit.cfg['skeleton']['test_section'] + """ return True def finalize(self, shutit): """ + shutit.cfg['skeleton']['finalize_section'] + """ return True def isinstalled(self, shutit): """ + shutit.cfg['skeleton']['isinstalled_section'] + """ return False def start(self, shutit): """ + shutit.cfg['skeleton']['start_section'] + """ return True def stop(self, shutit): """ + shutit.cfg['skeleton']['stop_section'] + """ return True def module(): return """ + skel_module_name + """( '""" + skel_module_id + """', """ + skel_domain_hash + """.000""" + str(_count) + """, description='', maintainer='', delivery_methods=['bash'], depends=['""" + skel_depends + """','shutit-library.virtualbox.virtualbox.virtualbox','tk.shutit.vagrant.vagrant.vagrant'] )""") else: module_file.write("""import random import string """ + shutit.cfg['skeleton']['header_section'] + """ def build(self, shutit): shutit.login(command='vagrant ssh') shutit.login(command='sudo su -',password='vagrant') """ + shutit.cfg['skeleton']['config_section'] + """ return True def test(self, shutit): """ + shutit.cfg['skeleton']['test_section'] + """ return True def finalize(self, shutit): """ + shutit.cfg['skeleton']['finalize_section'] + """ return True def isinstalled(self, shutit): """ + shutit.cfg['skeleton']['isinstalled_section'] + """ return False def start(self, shutit): """ + shutit.cfg['skeleton']['start_section'] + """ return True def stop(self, shutit): """ + shutit.cfg['skeleton']['stop_section'] + """ return True def module(): return """ + skel_module_name + """( '""" + skel_module_id + """',""" + skel_domain_hash + """.000""" + str(_count) + """, description='', maintainer='', delivery_methods=['bash'], depends=['""" + skel_depends + """','shutit-library.virtualbox.virtualbox.virtualbox','tk.shutit.vagrant.vagrant.vagrant'] )""") module_file.close() # Set up build.cnf build_cnf_filename = skel_path + '/configs/build.cnf' if _count == 1: build_cnf_file = open(build_cnf_filename,'w+') build_cnf_file.write('''############################################################################### # PLEASE NOTE: This file should be changed only by the maintainer. # PLEASE NOTE: This file is only sourced if the "shutit build" command is run # and this file is in the relative path: configs/build.cnf # This is to ensure it is only sourced if _this_ module is the # target. ############################################################################### # When this module is the one being built, which modules should be built along with it by default? # This feeds into automated testing of each module. [''' + skel_module_id + '''] shutit.core.module.build:yes''') build_cnf_file.close() else: build_cnf_file = open(build_cnf_filename,'a') build_cnf_file.write(''' [''' + skel_domain + '''.''' + skel_module_name + module_modifier + '''] shutit.core.module.build:yes''') build_cnf_file.close() os.chmod(build_cnf_filename,0o400) else: shutit.cfg['skeleton']['header_section'] = 'from shutit_module import ShutItModule\n\nclass ' + skel_module_name + '(ShutItModule):\n' shutit.cfg['skeleton']['config_section'] = '' shutit.cfg['skeleton']['build_section'] = '' shutit.cfg['skeleton']['finalize_section'] = '' shutit.cfg['skeleton']['test_section'] = '' shutit.cfg['skeleton']['isinstalled_section'] = '' shutit.cfg['skeleton']['start_section'] = '' shutit.cfg['skeleton']['stop_section'] = '' new_module_filename = skel_path + '/' + skel_module_name + '.py' module_file = open(new_module_filename,'w+') module_file.write('''import random import string ''' + shutit.cfg['skeleton']['header_section'] + """ def build(self, shutit): vagrant_image = shutit.cfg[self.module_id]['vagrant_image'] vagrant_provider = shutit.cfg[self.module_id]['vagrant_provider'] gui = shutit.cfg[self.module_id]['gui'] memory = shutit.cfg[self.module_id]['memory'] module_name = '""" + skel_module_name + """_' + ''.join(random.choice(string.ascii_letters + string.digits) for _ in range(6)) shutit.send('rm -rf /tmp/' + module_name + ' && mkdir -p /tmp/' + module_name + ' && cd /tmp/' + module_name) shutit.send('vagrant init ' + vagrant_image) shutit.send_file('/tmp/' + module_name + '/Vagrantfile',''' Vagrant.configure(2) do |config| config.vm.box = "''' + vagrant_image + '''" # config.vm.box_check_update = false # config.vm.network "forwarded_port", guest: 80, host: 8080 # config.vm.network "private_network", ip: "192.168.33.10" # config.vm.network "public_network" # config.vm.synced_folder "../data", "/vagrant_data" config.vm.provider "virtualbox" do |vb| vb.gui = ''' + gui + ''' vb.memory = "''' + memory + '''" vb.name = """ + '"' + skel_module_name + '''"''' + """ end end''') shutit.send('vagrant up --provider virtualbox',timeout=99999) shutit.login(command='vagrant ssh') shutit.login(command='sudo su -',password='vagrant') """ + shutit.cfg['skeleton']['build_section'] + """ shutit.logout() shutit.logout() return True def get_config(self, shutit): shutit.get_config(self.module_id,'vagrant_image',default='ubuntu/trusty64') shutit.get_config(self.module_id,'vagrant_provider',default='virtualbox') shutit.get_config(self.module_id,'gui',default='false') shutit.get_config(self.module_id,'memory',default='1024') """ + shutit.cfg['skeleton']['config_section'] + """ return True def test(self, shutit): """ + shutit.cfg['skeleton']['test_section'] + """ return True def finalize(self, shutit): """ + shutit.cfg['skeleton']['finalize_section'] + """ return True def isinstalled(self, shutit): """ + shutit.cfg['skeleton']['isinstalled_section'] + """ return False def start(self, shutit): """ + shutit.cfg['skeleton']['start_section'] + """ return True def stop(self, shutit): """ + shutit.cfg['skeleton']['stop_section'] + """ return True def module(): return """ + skel_module_name + """( '""" + skel_domain + '''.''' + skel_module_name + """', """ + skel_domain_hash + """.0001, description='', maintainer='', delivery_methods=['bash'], depends=['""" + skel_depends + """','shutit-library.virtualbox.virtualbox.virtualbox','tk.shutit.vagrant.vagrant.vagrant'] )""") module_file.close() build_cnf_filename = skel_path + '/configs/build.cnf' build_cnf_file = open(build_cnf_filename,'w+') build_cnf_file.write('''############################################################################### # PLEASE NOTE: This file should be changed only by the maintainer. # PLEASE NOTE: This file is only sourced if the "shutit build" command is run # and this file is in the relative path: configs/build.cnf # This is to ensure it is only sourced if _this_ module is the # target. ############################################################################### # When this module is the one being built, which modules should be built along with it by default? # This feeds into automated testing of each module. ['''+skel_domain+'''.'''+skel_module_name+'''] shutit.core.module.build:yes''') build_cnf_file.close() os.chmod(build_cnf_filename,0o400)

38.648318

265

0.644722

1,553

12,638

5.050225

0.150032

0.056228

0.088869

0.038251

0.792171

0.755068

0.748183

0.671172

0.652046

0.646819

0

0.00919

0.156196

12,638

326

266

38.766871

0.726275

0.006726

0

0.70318

0

0.042403

0.651841

0.174558

0.007067

0

1

0.003534

false

0.010601

0.035336

0

0.120141

0.007067

0

null

0

1

0

1

0

1

0

1

0

null

0

5

6e461b9434f374a1f40972348cb2da58cb94bfb3

59

py

Python

convolutionNN_ws/devel/lib/python2.7/dist-packages/enph353_gazebo/srv/__init__.py

ranyaataya/enph353-team-grimm

626e8690851974cece13d0844608bfbf6accfc94

[ "FTL" ]

null

convolutionNN_ws/devel/lib/python2.7/dist-packages/enph353_gazebo/srv/__init__.py

ranyaataya/enph353-team-grimm

626e8690851974cece13d0844608bfbf6accfc94

[ "FTL" ]

null

convolutionNN_ws/devel/lib/python2.7/dist-packages/enph353_gazebo/srv/__init__.py

ranyaataya/enph353-team-grimm

626e8690851974cece13d0844608bfbf6accfc94

[ "FTL" ]

null

from ._GetLegalPlates import * from ._SubmitPlate import *

19.666667

30

0.79661

6

59

7.5

0.666667

0

0.135593

59

2

31

29.5

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

28a1bdad04b6b06745d5f4f803dfe91b777b6de4

135

py

Python

services/backend/config/notifications.py

paulowe/aws-boilerplate

48c8e6133b094c1df08fc9e35c2e68e72804e736

[ "MIT" ]

711

2020-04-17T21:40:53.000Z

2022-03-29T16:34:25.000Z

services/backend/config/notifications.py

paulowe/aws-boilerplate

48c8e6133b094c1df08fc9e35c2e68e72804e736

[ "MIT" ]

30

2020-07-17T13:55:53.000Z

2022-02-27T21:13:29.000Z

services/backend/config/notifications.py

paulowe/aws-boilerplate

48c8e6133b094c1df08fc9e35c2e68e72804e736

[ "MIT" ]

30

2020-07-29T18:41:02.000Z

2022-02-05T16:56:16.000Z

import random def stdout(*args, **kwargs): look_at_me = ["🍿", "🍉", "🌯", "🍔"] print(random.choice(look_at_me), *args, kwargs)

19.285714

51

0.577778

21

135

3.714286

0.714286

0.25641

0.205128

0

0.177778

135

6

52

22.5

0.666667

0

0.02963

0

1

0.25

false

0

0.25

0

0.5

0.25

1

0

null

1

0

1

0

null

0

1

0

5

955ee3d0e474d644b702f6139f554d6b790392b1

143

py

Python

src/the_tale/the_tale/game/pvp/forms.py

devapromix/the-tale

2a10efd3270734f8cf482b4cfbc5353ef8f0494c

[ "BSD-3-Clause" ]

1

2020-04-02T11:51:20.000Z

src/the_tale/the_tale/game/pvp/forms.py

devapromix/the-tale

2a10efd3270734f8cf482b4cfbc5353ef8f0494c

[ "BSD-3-Clause" ]

null

src/the_tale/the_tale/game/pvp/forms.py

devapromix/the-tale

2a10efd3270734f8cf482b4cfbc5353ef8f0494c

[ "BSD-3-Clause" ]

null

import smart_imports smart_imports.all() class SayForm(dext_forms.Form): text = dext_fields.CharField(max_length=1024, required=True)

14.3

64

0.776224

20

143

5.3

0.85

0.226415

0

0.032

0.125874

143

9

65

15.888889

0.816

0

1

0

false

0

0.5

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

95959db4046610919940c31b0fe2beffd90d4620

6,407

py

Python

callReader.py

rohitdhan13/DrQA

5d0f81049ee864149eee7f77a32432dcc64707e4

[ "BSD-3-Clause" ]

null

callReader.py

rohitdhan13/DrQA

5d0f81049ee864149eee7f77a32432dcc64707e4

[ "BSD-3-Clause" ]

null

callReader.py

rohitdhan13/DrQA

5d0f81049ee864149eee7f77a32432dcc64707e4

[ "BSD-3-Clause" ]

null

import sys from reader import process doc = '''Veteran lawyer Ram Boolchand Jethmalani passed away on Sunday at the age of 95, leaving behind a huge void in India's legal circle. As Prime Minister Narendra Modi said, "India has not only lost an exceptional lawyer but also an iconic personality. "Over the span of his career, Jethmalani had a strong impact on the judiciary of the country and appeared in many high-profile cases, some of which are still referred for teaching tricks of the trade to budding law students. Known for his contributions in the field of law, Jethmalani came in the spotlight after he got involved with the Nanavati murder case, which was one of the last cases to be heard by a jury in India. It was subsequently abolished in 1959. He became one of the highest-paid lawyers in India due to his ability to turn around the hardest of cases and defended many high-profile personalities including politicians and gangsters throughout his career. The legal genius. Jethmalani was a bright student from a very young age and started off practicing law early in his career after obtaining a law degree at the age of just 17. While he started off practicing in Sindh province till partition, he fled to India a year later and came to India with just a one paisa coin in his pocket. Though Jethmalani had no direct involvement in the high-profile Nanavati case, he assisted the public prosecutor CM Trivedi in framing arguments in the trial court and later in the high court. Later, his job was to assist YV Chandrachud, the public pleader in High Court. Jethmalani later said that the case earned him fame, which he said was the most important milestone of his career. After the case, he was credited for presenting a unique style of theatrical cross-examination. The case became prominent as it involved a decorated Navy officer KM Nanavati, who killed his wife's lover Prem Ahuja. However, the media trial in the case ensured that Nanavati got massive support from the Parsi community. However, the jury verdict in the case in favour of Nanavati was overruled and legislation was passed subsequently to abolish jury trials in the country. During the late 1960s, Jethmalani also earned the moniker, smugglers' lawyer, as he defended a string of smugglers at the time. When he faced criticism for defending criminals including Haji Mastan, Jethmalani used to calmly respond that he was just doing his duty as a lawyer. Among the high-profile cases under his belt, he defended Harshad Mehta and Ketan Parekh in the Securities Scam case 1992. Jethmalani also defended senior BJP leader LK Advani in the Hawala scam. Jethmalani served as senior counsel for Satwant Singh and Kehar Singh, who were convicted for the assassination of former Indian Prime Minister Indira Gandhi. While he managed to secure a stay order on their execution orders, the duo was hanged to death a year later. The veteran lawyer had argued on behalf of V Sriharan in the Rajiv Gandhi assassination case and told the Supreme Court on July 2015 that the suicide bomb attack that killed the former prime minister was "not a crime against India". Jethmalani also garnered attention for defending Manu Sharma, who was the prime accused in the Jessica Lall murder case. Sharma, the son of senior Congress leader Vinod Sharma, was convicted for murdering the model in 1999. He later represented DMK leader Kanimozhi in the infamous 2G scam case, which finally led to the downfall of the UPA government. Besides, Jethmalani had also defended self-styled godman Asaram Bapu in a sexual assault case and late Tamil Nadu Chief Minister Jayalalithaa in the disproportionate assets case. Not to forget, the veteran lawyer had defended Union Home Minister Amit Shah in several fake encounter cases including the Sohrabuddin Sheikh encounter case. The political rebel. While his political career does not match his contributions as a lawyer, Jethmalani had played a leading role during the emergency period from 1975 to 1977. He was critical of the then prime minister Indira Gandhi and his sharp commentary against the government earned him an arrest warrant during the time. However, it was stayed by the Bombay High Court after he received massive support from the law community. At the time, Jethmalani was the chairman of the Bar Association of India. When the stay was nullified, Jethmalani went to Canada and campaigned against emergency; he returned almost 10 months later when the emergency was lifted. Soon after, he ousted the then serving Union law minister HR Gokhale from Mumbai in the Lok Sabha and started his political career as a parliamentarian. He became a member of the Rajya Sabha in 1988 and later went on to assume the role of Union Minister of Law, Justice and Company Affairs in 1996 as part of the Atal Bihari Vajpayee government. During the second tenure of the Vajpayee government in 1998, Jethmalani was given the portfolio of Union Minister of Urban Affairs and Employment. However, in 1999, he was again sworn in as the Union law minister. According to reports, Jethmalani was only inducted in the cabinet on the insistence of the then home minister LK Advani and he had never been on good terms with Atal Bihari Vajpayee. It became clear when Jethmalani contested against Vajpayee from the Lucknow constituency as an independent candidate in 2004. Jethmalani, who has been known for his straight-forward nature, never hesitated from pointing out issues, even if it discredited his own party. In 2012, Jethmalani wrote to the then BJP president Nitin Gadkari, alleging opposition BJP leaders of being silent against huge corruption by members of the UPA-II government. When Jethmalani's letter became public on the internet, BJP expelled him on May 2013 for six years for making "anti-party" statements. While his political career does not comprise his fondest memories, his contributions in the field of criminal law helped redefine the legal system of the country. During his lifetime, Jethmalani also won several awards including the International Jurist Award, World Peace Through Law Award and the Human Rights Award for his fight against authoritarianism at the Philippines.''' question='who was ram jethmalani?' def predict(): #the code goes here print('inside predict function') print(process(doc,question)) def main(): print('inside main function') return predict()

376.882353

6,152

0.809895

1,065

6,407

4.8723

0.428169

0.016381

0.010407

0.003854

0.022355

0

0.011809

0.167317

6,407

16

6,153

400.4375

0.960825

0.002809

0

0.1

0.971509

0

1

0.2

false

0.1

0.3

0

0.6

0.3

0

null

0

1

0

1

0

null

0

1

0

1

0

5

95cdbc120a1fbe99981fc8cd8ac10f0101c08e38

80

py

Python

1-linear_regression/python/__init__.py

mgsosna/multivariate_LR_gradient_descent

37987a8a3fe3e891d5f86657ec43888b25607d4c

[ "MIT" ]

null

1-linear_regression/python/__init__.py

mgsosna/multivariate_LR_gradient_descent

37987a8a3fe3e891d5f86657ec43888b25607d4c

[ "MIT" ]

null

1-linear_regression/python/__init__.py

mgsosna/multivariate_LR_gradient_descent

37987a8a3fe3e891d5f86657ec43888b25607d4c

[ "MIT" ]

null

from .data_generator import DataGenerator from .model_fitter import ModelFitter

26.666667

41

0.875

10

80

6.8

0.8

0

0.1

80

2

42

40

0.944444

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

95eaf6ea396c235e4ffc9b0c9c2c69ac2c418e0c

135

py

Python

PiCN/Layers/RoutingLayer/RoutingInformationBase/__init__.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

null

PiCN/Layers/RoutingLayer/RoutingInformationBase/__init__.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

5

2020-07-15T09:01:42.000Z

2020-09-28T08:45:21.000Z

PiCN/Layers/RoutingLayer/RoutingInformationBase/__init__.py

NikolaiRutz/PiCN

7775c61caae506a88af2e4ec34349e8bd9098459

[ "BSD-3-Clause" ]

null

from .BaseRoutingInformationBase import BaseRoutingInformationBase from .TreeRoutingInformationBase import TreeRoutingInformationBase

33.75

66

0.918519

8

135

15.5

0.5

0

0.066667

135

3

67

45

0.984127

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

95fa10b8093d1d95380af30f6408c9df9389c28f

104

py

Python

msocket/wsgi/__init__.py

yacchi21/SimpleMultiSocketServer

c23189baf30a8948269e315046f3c07e569fba5a

[ "Apache-2.0" ]

null

msocket/wsgi/__init__.py

yacchi21/SimpleMultiSocketServer

c23189baf30a8948269e315046f3c07e569fba5a

[ "Apache-2.0" ]

null

msocket/wsgi/__init__.py

yacchi21/SimpleMultiSocketServer

c23189baf30a8948269e315046f3c07e569fba5a

[ "Apache-2.0" ]

null

# -*- coding:utf8 -*- from __future__ import absolute_import from .server import MultiSocketWSGIServer

20.8

41

0.788462

11

104

7

0.727273

0

0.010989

0.125

104

4

42

26

0.835165

0.182692

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

252707e0faae8630f773e786b8e3d4b1490cb55d

96

py

Python

core/admin.py

marcostark/Everyday-Heroes-Api

9645c5ec486019366733e5e33d0fab84f5a1efde

[ "MIT" ]

1

2020-03-29T20:32:38.000Z

core/admin.py

marcostark/Everyday-Heroes-Api

9645c5ec486019366733e5e33d0fab84f5a1efde

[ "MIT" ]

3

2021-03-19T01:18:23.000Z

2021-04-08T19:55:47.000Z

core/admin.py

marcostark/Everyday-Heroes-Api

9645c5ec486019366733e5e33d0fab84f5a1efde

[ "MIT" ]

null

from django.contrib import admin from . import models admin.site.register(models.CollectPoint)

19.2

40

0.822917

13

96

6.076923

0.692308

0

0.104167

96

4

41

24

0.918605

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

25479a2e76e5e98170b042b9aa094a36fdef58d9

72

py

Python

StooqFXDataReader/__init__.py

sawadyrr5/StooqFXDataReader

af172793564b955e07368744e7f7fcd6eae6fa2e

[ "Apache-2.0" ]

3

2017-11-01T17:34:23.000Z

2021-05-17T16:33:40.000Z

StooqFXDataReader/__init__.py

sawadyrr5/PyStooqFX

af172793564b955e07368744e7f7fcd6eae6fa2e

[ "Apache-2.0" ]

null

StooqFXDataReader/__init__.py

sawadyrr5/PyStooqFX

af172793564b955e07368744e7f7fcd6eae6fa2e

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from StooqFXDataReader.io.data import DataReader

36

48

0.736111

9

72

5.888889

1

0

0.015625

0.111111

72

2

48

36

0.8125

0.291667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2553fe04d19ce6803ca5bc305736c63f066f792a

92

py

Python

example/content/admin.py

eGenGuru/django-sirtrevor

873dc572eeedba0257c393e1a93e7be790e07d67

[ "MIT" ]

39

2015-02-10T00:30:03.000Z

2020-11-07T19:11:59.000Z

example/content/admin.py

eGenGuru/django-sirtrevor

873dc572eeedba0257c393e1a93e7be790e07d67

[ "MIT" ]

5

2015-01-16T17:56:01.000Z

2018-11-30T13:09:26.000Z

example/content/admin.py

eGenGuru/django-sirtrevor

873dc572eeedba0257c393e1a93e7be790e07d67

[ "MIT" ]

16

2015-06-01T03:36:00.000Z

2020-09-18T12:44:16.000Z

from django.contrib import admin from .models import Content admin.site.register(Content)

15.333333

32

0.815217

13

92

5.769231

0.692308

0

0.119565

92

5

33

18.4

0.925926

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

2567ca7c094fa7a2683a537e587ea693dcf2e3b5

86

wsgi

Python

webtool.wsgi

Dawtt/flask

9f4e559907ff2461f7176c28ca2d577b09790523

[ "MIT" ]

null

webtool.wsgi

Dawtt/flask

9f4e559907ff2461f7176c28ca2d577b09790523

[ "MIT" ]

null

webtool.wsgi

Dawtt/flask

9f4e559907ff2461f7176c28ca2d577b09790523

[ "MIT" ]

null

import sys sys.path.append('/var/www/flask') from webtool import app as application

14.333333

38

0.767442

14

86

4.714286

0.857143

0

0.127907

86

5

39

17.2

0.88

0

0.162791

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

c2f6a03d4d5bb4ad27872288f3ae2c6ab9d5ed96

54

py

Python

subLSTM/functional/__init__.py

ixaxaar/pytorch-sublstm

879d3df6407dfa653fbd1e501a6af02191759421

[ "MIT" ]

19

2017-11-16T22:44:53.000Z

2021-07-16T09:02:58.000Z

subLSTM/functional/__init__.py

ixaxaar/pytorch-sublstm

879d3df6407dfa653fbd1e501a6af02191759421

[ "MIT" ]

1

2017-11-28T23:56:27.000Z

2017-11-29T02:16:13.000Z

subLSTM/functional/__init__.py

ixaxaar/pytorch-sublstm

879d3df6407dfa653fbd1e501a6af02191759421

[ "MIT" ]

10

2017-11-17T07:07:42.000Z

2021-12-29T04:20:54.000Z

#!/usr/bin/env python3 from .cell import SubLSTMCell

13.5

29

0.759259

8

54

5.125

1

0

0.021277

0.12963

54

3

30

18

0.851064

0.388889

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6c176a23bdf79735ae2821f1d238a980b59af4e2

86

py

Python

ads/admin.py

syed/kijiji-rentals

32ce705d7a07e5a9b4be2d31ece6a6ff64be929c

[ "BSD-3-Clause" ]

2

2015-03-18T04:04:37.000Z

2016-05-28T09:53:52.000Z

ads/admin.py

syed/kijiji_rentals

32ce705d7a07e5a9b4be2d31ece6a6ff64be929c

[ "BSD-3-Clause" ]

2

2020-02-11T22:03:05.000Z

2020-06-05T16:55:00.000Z

ads/admin.py

syed/kijiji-rentals

32ce705d7a07e5a9b4be2d31ece6a6ff64be929c

[ "BSD-3-Clause" ]

null

from django.contrib import admin from ads.models import Ad admin.site.register(Ad)

12.285714

32

0.790698

14

86

4.857143

0.714286

0

0.139535

86

6

33

14.333333

0.918919

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

6c4fe24b75ee0e9564e49270c7da62533b8cde97

214

py

Python

test/solution_tests/HLO/test_hello.py

DPNT-Sourcecode/CHK-lkqa01

f1e14b9ba48a42ab77bd4457b793278216094ed5

[ "Apache-2.0" ]

null

test/solution_tests/HLO/test_hello.py

DPNT-Sourcecode/CHK-lkqa01

f1e14b9ba48a42ab77bd4457b793278216094ed5

[ "Apache-2.0" ]

null

test/solution_tests/HLO/test_hello.py

DPNT-Sourcecode/CHK-lkqa01

f1e14b9ba48a42ab77bd4457b793278216094ed5

[ "Apache-2.0" ]

null

import pytest from lib.solutions.HLO.hello_solution import hello def test_input_parameter_type(): with pytest.raises(TypeError): hello(6) def test_outcome(): assert hello('Jack') == 'Hello, Jack!'

23.777778

50

0.719626

29

214

5.137931

0.689655

0.09396

0

0.005587

0.163551

214

9

51

23.777778

0.826816

0

0.074419

0

0.142857

1

0.285714

true

0

0.285714

0

0.571429

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6c517b622b68d280e9b3ee4d5e130701ad49642c

243

py

Python

intouch/queryset_csv/__init__.py

intouch-smartwater/queryset-csv

ca390f677ff206609c6e559b8d2fdaef5a1f13dd

[ "MIT" ]

1

2019-04-25T13:38:15.000Z

intouch/queryset_csv/__init__.py

intouch-smartwater/queryset-csv

ca390f677ff206609c6e559b8d2fdaef5a1f13dd

[ "MIT" ]

1

2019-04-25T08:54:56.000Z

2019-04-26T08:45:37.000Z

intouch/queryset_csv/__init__.py

intouch-smartwater/queryset-csv

ca390f677ff206609c6e559b8d2fdaef5a1f13dd

[ "MIT" ]

1

2020-01-13T09:37:39.000Z

from intouch.queryset_csv.shortcuts import queryset_as_csv_response from .admin import export_selection_as_csv, CsvExporterAdmin from intouch.queryset_csv import urls default_app_config = 'intouch.queryset_csv.apps.QuerysetCSVAppConfig'

40.5

70

0.864198

32

243

6.21875

0.5625

0.226131

0.271357

0.221106

0

0.090535

243

5

71

48.6

0.900452

0

0.193277

0

1

0

false

0

0.75

0

0.75

0

null

1

0

1

0

null

0

1

0

5

6c5af8e35f6e1dfebfcc50b3a5c9b10e478e03d5

104

py

Python

tests/core/shh-module/test_shh_properties.py

jsmeng324/web3.py

6f240dcf4f37f55f0ac09c90985674233f344c37

[ "MIT" ]

326

2016-04-29T21:51:06.000Z

2022-03-31T03:20:54.000Z

tests/core/shh-module/test_shh_properties.py

jsmeng324/web3.py

6f240dcf4f37f55f0ac09c90985674233f344c37

[ "MIT" ]

283

2016-04-15T16:41:31.000Z

2017-11-28T16:41:36.000Z

tests/core/shh-module/test_shh_properties.py

jsmeng324/web3.py

6f240dcf4f37f55f0ac09c90985674233f344c37

[ "MIT" ]

146

2016-04-14T16:27:54.000Z

2021-10-03T13:31:07.000Z

def test_shh_version(web3, skip_if_testrpc): skip_if_testrpc(web3) assert web3.shh.version == 2

26

44

0.75

17

104

4.235294

0.588235

0.277778

0.361111

0

0.045455

0.153846

104

3

45

34.666667

0.772727

0

0.333333

1

0.333333

false

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

6c77802cfb0cfb4591979a86dfce64699db53eba

115

py

Python

Chapter 04/4.01/exceptions.py

ACsBlack/Tkinter-GUI-Application-Development-Blueprints-Second-Edition

c6a045fbf5ba3ece5e8a02bbe33ac13bb57b2b8e

[ "MIT" ]

120

2018-03-04T07:17:00.000Z

2022-01-25T08:09:57.000Z

Chapter 04/4.01/exceptions.py

ACsBlack/Tkinter-GUI-Application-Development-Blueprints-Second-Edition

c6a045fbf5ba3ece5e8a02bbe33ac13bb57b2b8e

[ "MIT" ]

3

2019-03-24T09:32:43.000Z

2020-07-28T07:35:49.000Z

Chapter 04/4.01/exceptions.py

ACsBlack/Tkinter-GUI-Application-Development-Blueprints-Second-Edition

c6a045fbf5ba3ece5e8a02bbe33ac13bb57b2b8e

[ "MIT" ]

81

2018-04-18T06:51:46.000Z

2022-03-30T01:31:35.000Z

""" Code illustration: 4.01 @ Tkinter GUI Application Development Blueprints """ class ChessError(Exception): pass

19.166667

48

0.773913

13

115

6.846154

1

0

0.029703

0.121739

115

5

49

23

0.851485

0.626087

0

1

0

true

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6c835b5f12e819199da6cccad64b3c775a7f7f98

122

py

Python

test-framework/test-suites/integration/tests/list/test_list_switch_supported.py

khanfluence/stacki-cumulus-switch

df54afb20f6ea6a3a136b3c09b30df54ea79ffcc

[ "BSD-3-Clause" ]

123

2015-05-12T23:36:45.000Z

2017-07-05T23:26:57.000Z

test-framework/test-suites/integration/tests/list/test_list_switch_supported.py

khanfluence/stacki-cumulus-switch

df54afb20f6ea6a3a136b3c09b30df54ea79ffcc

[ "BSD-3-Clause" ]

177

2015-06-05T19:17:47.000Z

2017-07-07T17:57:24.000Z

test-framework/test-suites/integration/tests/list/test_list_switch_supported.py

khanfluence/stacki-cumulus-switch

df54afb20f6ea6a3a136b3c09b30df54ea79ffcc

[ "BSD-3-Clause" ]

32

2015-06-07T02:25:03.000Z

2017-06-23T07:35:35.000Z

import pytest def test_list_switch_support(host): result = host.run('stack list switch support') assert result.rc == 0

20.333333

47

0.762295

19

122

4.736842

0.736842

0.222222

0.377778

0

0.009524

0.139344

122

5

48

24.4

0.847619

0

0.204918

0

0.25

1

0.25

false

0

0.25

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

6673a763bf118af58540346575400ba0208a50bd

145

py

Python

apifuzzer/template_generator_base.py

lobax/APIFuzzer

bcaaa545f0060a41ff0769677b765f7581445b6d

[ "MIT" ]

1

2019-04-10T05:32:54.000Z

apifuzzer/template_generator_base.py

lobax/APIFuzzer

bcaaa545f0060a41ff0769677b765f7581445b6d

[ "MIT" ]

1

2019-06-24T13:42:31.000Z

2019-06-25T06:43:40.000Z

apifuzzer/template_generator_base.py

lobax/APIFuzzer

bcaaa545f0060a41ff0769677b765f7581445b6d

[ "MIT" ]

1

2019-06-21T14:46:33.000Z

class TemplateGenerator(object): def process_api_resources(self): pass def compile_base_url(self, alternate_url): pass

18.125

46

0.689655

17

145

5.588235

0.764706

0

0.241379

145

7

47

20.714286

0.863636

0

0.4

0

1

0.4

false

0.4

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

667ba89a115ac8b34606397d26a54f4ce51568fc

194

py

Python

mydays/final-mp-dice-roller/web/game_logic/roll.py

feoh/100daysofcode-with-python-course

35ee1d8181b80e5bcb28af59e8d81e90095ee784

[ "MIT" ]

null

mydays/final-mp-dice-roller/web/game_logic/roll.py

feoh/100daysofcode-with-python-course

35ee1d8181b80e5bcb28af59e8d81e90095ee784

[ "MIT" ]

null

mydays/final-mp-dice-roller/web/game_logic/roll.py

feoh/100daysofcode-with-python-course

35ee1d8181b80e5bcb28af59e8d81e90095ee784

[ "MIT" ]

null

from random import randint def die_roll(): return randint(1,6) def total_dice_rolls(num_dice): total = 0 for _ in range(num_dice): total += die_roll() return total

13.857143

31

0.64433

29

194

4.068966

0.62069

0.118644

0.220339

0

0.021127

0.268041

194

13

32

14.923077

0.809859

0

1

0.25

false

0

0.125

0.625

0

1

0

null

0

1

0

null

0

1

0

1

0

5

669842d170b473b151189c4920df584463a00438

168

py

Python

helper/__init__.py

mclgoerg/MiningPersonalityInGerman

4c5811a0f72100b7afef9695475a6de9251444b7

[ "Apache-2.0" ]

1

2020-09-11T01:11:19.000Z

helper/__init__.py

mclgoerg/MiningPersonalityInGerman

4c5811a0f72100b7afef9695475a6de9251444b7

[ "Apache-2.0" ]

null

helper/__init__.py

mclgoerg/MiningPersonalityInGerman

4c5811a0f72100b7afef9695475a6de9251444b7

[ "Apache-2.0" ]

2

2020-08-12T15:57:06.000Z

2020-12-17T18:11:03.000Z

from .configLoader import ConfigLoader from .scraping import Scraping from .preparationProcess import PreparationProcess from .trainingProcess import TrainingProcess

42

51

0.869048

16

168

9.125

0.375

0

0.107143

168

4

52

42

0.973333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6699fdc0c342fc9b65b196ca9adc777060d3b4bf

97

py

Python

enthought/enable/kiva_graphics_context.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/enable/kiva_graphics_context.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/enable/kiva_graphics_context.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from enable.kiva_graphics_context import *

24.25

42

0.85567

13

97

5.846154

0.769231

0

0.113402

97

3

43

32.333333

0.883721

0.123711

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

669b7fd701bcdb4bf6edd9c0a02e28a75f0372ab

364

py

Python

shellcode/x86-linux-sh.py

rambasnet/EthicalHacking-Notebooks

403371415f406204701b74667502b642c18390af

[ "MIT" ]

8

2020-05-24T14:36:49.000Z

2021-04-04T18:46:33.000Z

shellcode/x86-linux-sh.py

rambasnet/EthicalHacking-Notebooks

403371415f406204701b74667502b642c18390af

[ "MIT" ]

null

shellcode/x86-linux-sh.py

rambasnet/EthicalHacking-Notebooks

403371415f406204701b74667502b642c18390af

[ "MIT" ]

4

2020-07-17T18:35:10.000Z

2020-10-21T13:27:11.000Z

# x86/linux/exec: 24 bytes # python variables shellcode_user = ( b"\x31\xc0\x50\x68\x2f\x2f\x73\x68\x68\x2f\x62\x69\x6e\x89\xe3\x31" b"\xc9\x89\xca\x6a\x0b\x58\xcd\x80" ) shellcode_root = ( b"\x31\xc0\x31\xdb\x31\xc9\x99\xb0\xa4\xcd\x80\x6a\x0b\x58\x51\x68" b"\x2f\x2f\x73\x68\x68\x2f\x62\x69\x6e\x89\xe3\x51\x89\xe2\x53\x89" b"\xe1\xcd\x80" )

30.333333

71

0.67033

75

364

3.226667

0.493333

0.07438

0.057851

0.099174

0.272727

0

0.277778

0.10989

364

12

72

30.333333

0.469136

0.112637

0

0.333333

0.735202

0.697819

0

1

0

false

0

null

0

1

0

1

0

1

null

0

5

66df16ade6c41541e5498dd6459a9fc40dcceef4

143

py

Python

Software/Backend/model/vo/StockStrategy.py

FinTechNJU/CIti-FinBrain

942ed46e9799839d3e84c6fb15703db64ae18505

[ "MIT" ]

4

2020-08-11T08:40:25.000Z

2021-05-27T09:55:41.000Z

Software/Backend/model/vo/StockStrategy.py

FinTechNJU/CIti-FinBrain

942ed46e9799839d3e84c6fb15703db64ae18505

[ "MIT" ]

null

Software/Backend/model/vo/StockStrategy.py

FinTechNJU/CIti-FinBrain

942ed46e9799839d3e84c6fb15703db64ae18505

[ "MIT" ]

2

2020-06-27T04:49:36.000Z

2020-07-15T21:08:18.000Z

class StockStrategy(object): # strategy: dict[str, int] # 股票代码，预计买入股数 def __init__(self, strategy): self.strategy = strategy

23.833333

45

0.664336

16

143

5.6875

0.75

0.263736

0

0.223776

143

5

46

28.6

0.81982

0.265734

0

1

0.333333

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

dd1aa6b47c9213cb013a27d98f856d063c3c955f

39

py

Python

open_connect/groups/management/__init__.py

lpatmo/actionify_the_news

998d8ca6b35d0ef1b16efca70f50e59503f5a62d

[ "MIT" ]

66

2015-11-30T20:35:38.000Z

2019-06-12T17:40:32.000Z

open_connect/groups/management/__init__.py

lpatmo/actionify_the_news

998d8ca6b35d0ef1b16efca70f50e59503f5a62d

[ "MIT" ]

18

2015-11-30T22:03:05.000Z

2019-07-02T00:50:29.000Z

open_connect/groups/management/__init__.py

lpatmo/actionify_the_news

998d8ca6b35d0ef1b16efca70f50e59503f5a62d

[ "MIT" ]

11

2015-11-30T20:56:01.000Z

2019-07-01T17:06:09.000Z

"""Management module for groups app"""

19.5

38

0.717949

5

39

5.6

1

0

0.128205

39

1

39

0.823529

0.820513

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

dd3e1ab75091a74b89b084aa9328ae7d7f6668aa

71

py

Python

mphelp/src/__init__.py

FoxyRabbit67/enigma2-plugins

f6b94012726931fdf28e80a26226aec612b350de

[ "Linux-OpenIB" ]

41

2016-01-21T17:54:44.000Z

2021-06-26T05:54:41.000Z

mphelp/src/__init__.py

FoxyRabbit67/enigma2-plugins

f6b94012726931fdf28e80a26226aec612b350de

[ "Linux-OpenIB" ]

22

2016-11-16T11:25:26.000Z

2021-12-13T09:13:06.000Z

mphelp/src/__init__.py

FoxyRabbit67/enigma2-plugins

f6b94012726931fdf28e80a26226aec612b350de

[ "Linux-OpenIB" ]

62

2016-02-05T22:55:48.000Z

2022-03-12T21:48:22.000Z

from plugin import * from MPHelp import HelpPage from XMLHelp import *

17.75

27

0.802817

10

71

5.7

0.6

0

0.169014

71

3

28

23.666667

0.966102

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

dd5464397adaf5ca236770b19af8847fc2778000

172

py

Python

api/__init__.py

rajesh-raju/kulomb

a68c0558dbb225bc2dd1de85279737d1021d9a75

[ "MIT" ]

null

api/__init__.py

rajesh-raju/kulomb

a68c0558dbb225bc2dd1de85279737d1021d9a75

[ "MIT" ]

null

api/__init__.py

rajesh-raju/kulomb

a68c0558dbb225bc2dd1de85279737d1021d9a75

[ "MIT" ]

null

from api.user_registration import user_registration_bp from api.login import login_bp from api.vehicles_info import vehicles_info_bp from api.booking import booking_bp

34.4

55

0.860465

28

172

5

0.357143

0.2

0.192857

0

0.116279

172

4

56

43

0.921053

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

dd9858bbc8376abf1bd902a790858dbddd2fbf3b

92

py

Python

act_fun.py

wangjiafenghw/TensorFlow-learn

278c149c965addc08076fa609566a5d533db9cbe

[ "MIT" ]

null

act_fun.py

wangjiafenghw/TensorFlow-learn

278c149c965addc08076fa609566a5d533db9cbe

[ "MIT" ]

null

act_fun.py

wangjiafenghw/TensorFlow-learn

278c149c965addc08076fa609566a5d533db9cbe

[ "MIT" ]

null

# activation function import tensorflow as tf # linear # y = Wx # Nonlinear # y = AF(Wx)

9.2

23

0.663043

13

92

4.692308

0.846154

0

0.23913

92

9

24

10.222222

0.871429

0.586957

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

dda238669474c11e6945d58fe481cfaef6b98878

4,004

py

Python

test_check_wildfly_heap_usage.py

gtudan/nagios-plugin-wildlfy

3d9794151f7bbab372f5ac10f6bd90ecda35bbb7

[ "Apache-2.0" ]

null

test_check_wildfly_heap_usage.py

gtudan/nagios-plugin-wildlfy

3d9794151f7bbab372f5ac10f6bd90ecda35bbb7

[ "Apache-2.0" ]

null

test_check_wildfly_heap_usage.py

gtudan/nagios-plugin-wildlfy

3d9794151f7bbab372f5ac10f6bd90ecda35bbb7

[ "Apache-2.0" ]

null

#!/usr/bin/python import copy import check_wildfly as wf import requests_mock import pytest import json BASE_URL = 'http://localhost:9990/management' def before(): wf.CONFIG['mode'] = 'standalone' @pytest.fixture() def requests(): mocker = requests_mock.Mocker() mocker.start() yield mocker mocker.stop() HEAP_USAGE = {'heap-memory-usage': {'init': 268435456, 'used': 439564992, 'committed': 587726848, 'max': 1037959168}, 'non-heap-memory-usage': {'init': 2555904, 'used': 217580768, 'committed': 236462080, 'max': 536870912}, 'object-name': 'java.lang:type=Memory', 'object-pending-finalization-count': 0, 'verbose': False} def test_check_heap_usage(requests): requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', text=json.dumps(HEAP_USAGE)) result = wf.check_heap_usage(80, 90, False) assert result == 0 def test_check_heap_usage_warning(requests): memory_usage = copy.deepcopy(HEAP_USAGE) memory_usage['heap-memory-usage']['used'] = 882265292 requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', text=json.dumps(memory_usage)) result = wf.check_heap_usage(80, 90, False) assert result == 1 def test_check_heap_usage_critical(requests): memory_usage = copy.deepcopy(HEAP_USAGE) memory_usage['heap-memory-usage']['used'] = 986061209 requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', text=json.dumps(memory_usage)) result = wf.check_heap_usage(80, 90, False) assert result == 2 def test_check_heap_usage_performance_data(requests, capsys): requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', text=json.dumps(HEAP_USAGE)) result = wf.check_heap_usage(80, 90, True) out, err = capsys.readouterr() assert '| heap_usage=419MB;791.9;890.8875;256.0;989.875' in out assert result == 0 def test_check_heap_usage_unknown(requests): requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', status_code=404) with pytest.raises(SystemExit) as exit_info: wf.check_heap_usage(80, 90, False) assert exit_info.value.code == -1 def test_check_non_heap_usage(requests): requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', text=json.dumps(HEAP_USAGE)) result = wf.check_heap_usage(80, 90, False) assert result == 0 def test_check_non_heap_usage_with_unlimited_heap(requests): memory_usage = copy.deepcopy(HEAP_USAGE) memory_usage['non-heap-memory-usage']['max'] = -1 requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', text=json.dumps(HEAP_USAGE)) result = wf.check_heap_usage(80, 90, False) assert result == 0 def test_check_non_heap_usage_warning(requests): memory_usage = copy.deepcopy(HEAP_USAGE) memory_usage['non-heap-memory-usage']['used'] = 456340275 requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', text=json.dumps(memory_usage)) result = wf.check_non_heap_usage(80, 90, False) assert result == 1 def test_check_non_heap_usage_critical(requests): memory_usage = copy.deepcopy(HEAP_USAGE) memory_usage['non-heap-memory-usage']['used'] = 510027366 requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', text=json.dumps(memory_usage)) result = wf.check_non_heap_usage(80, 90, False) assert result == 2 def test_check_non_heap_usage_performance_data(requests, capsys): requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', text=json.dumps(HEAP_USAGE)) result = wf.check_non_heap_usage(80, 90, True) out, err = capsys.readouterr() print(out) assert '| non_heap_usage=207MB;409.6;460.8;2.4375;512.0' in out assert result == 0 def test_check_non_heap_usage_unknown(requests): requests.get(BASE_URL + '/core-service/platform-mbean/type/memory', status_code=404) with pytest.raises(SystemExit) as exit_info: wf.check_non_heap_usage(80, 90, False) assert exit_info.value.code == -1

36.072072

118

0.723776

579

4,004

4.785838

0.193437

0.113677

0.060628

0.071454

0.783833

0.779502

0.778419

0.771923

0.759293

0.723566

0

0.063372

0.140859

4,004

110

119

36.4

0.742151

0.003996

0

0.487179

0

0.21219

0.167545

0

0.166667

1

0.166667

false

0

0.064103

0

0.230769

0.012821

0

null

0

1

0

null

0

5

06e05ba88261e253f2664a914da4cad92ae1f01f

166

py

Python

generated-sources/python/mojang-status/openapi_client/com.github.asyncmc.mojang.status.python.api/__init__.py

AsyncMC/Mojang-API-Libs

b01bbd2bce44bfa2b9ed705a128cf4ecda077916

[ "Apache-2.0" ]

null

generated-sources/python/mojang-status/openapi_client/com.github.asyncmc.mojang.status.python.api/__init__.py

AsyncMC/Mojang-API-Libs

b01bbd2bce44bfa2b9ed705a128cf4ecda077916

[ "Apache-2.0" ]

null

generated-sources/python/mojang-status/openapi_client/com.github.asyncmc.mojang.status.python.api/__init__.py

AsyncMC/Mojang-API-Libs

b01bbd2bce44bfa2b9ed705a128cf4ecda077916

[ "Apache-2.0" ]

null

from __future__ import absolute_import # flake8: noqa # import apis into api package from com.github.asyncmc.mojang.status.python.api.default_api import DefaultApi

23.714286

78

0.825301

24

166

5.458333

0.75

0

0.006803

0.114458

166

6

79

27.666667

0.884354

0.246988

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

665399b6cb170d6ca24c4ea513a2b1bb46a5c247

97

py

Python

exportLayerAnim/__init__.py

Grimo0/kritaExportLayerAnim

7f0c1902414bb72d4105986c41c943d548b6f273

[ "CC0-1.0" ]

null

exportLayerAnim/__init__.py

Grimo0/kritaExportLayerAnim

7f0c1902414bb72d4105986c41c943d548b6f273

[ "CC0-1.0" ]

null

exportLayerAnim/__init__.py

Grimo0/kritaExportLayerAnim

7f0c1902414bb72d4105986c41c943d548b6f273

[ "CC0-1.0" ]

null

from .exportLayerAnim import * Krita.instance().addExtension(ExportLayerAnim(Krita.instance()))

24.25

64

0.804124

9

97

8.666667

0.666667

0.333333

0

0.061856

97

3

65

32.333333

0.857143

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

b09d23d79c48b3da2b1d4f3583430dbbb40ebb53

99

py

Python

ffp2/__init__.py

Ben-Bock/FFP2

f71512b959afa7f3575302218ca18b93984493c0

[ "MIT" ]

1

2021-06-04T19:36:25.000Z

ffp2/__init__.py

Ben-Bock/FFP2

f71512b959afa7f3575302218ca18b93984493c0

[ "MIT" ]

null

ffp2/__init__.py

Ben-Bock/FFP2

f71512b959afa7f3575302218ca18b93984493c0

[ "MIT" ]

null

from .fingerprint import Filefingerprint __all__ = ['Filefingerprint', 'FilefingerprintException']

33

57

0.828283

7

99

11.142857

0.857143

0

0.080808

99

3

57

33

0.857143

0

0.39

0.24

0

1

0

false

0

0.5

0

0.5

1

0

1

null

0

1

0

null

0

1

0

1

0

5

b0a9e3c5412881fbbc523cad2dbe10e5fc0734da

44

py

Python

src/oslibs/cocos/cocos-src/tools/cocos2d-console/plugins/project_compile/__init__.py

dios-game/dios-cocos

b7fbcbafe02f516ef18fdb64b4519dbf806303fc

[ "MIT" ]

321

2018-06-17T03:52:46.000Z

2022-03-18T02:34:52.000Z

src/oslibs/cocos/cocos-src/tools/cocos2d-console/plugins/project_compile/__init__.py

dios-game/dios-cocos

b7fbcbafe02f516ef18fdb64b4519dbf806303fc

[ "MIT" ]

19

2018-06-26T10:37:45.000Z

2020-12-09T03:16:45.000Z

src/oslibs/cocos/cocos-src/tools/cocos2d-console/plugins/project_compile/__init__.py

dios-game/dios-cocos

b7fbcbafe02f516ef18fdb64b4519dbf806303fc

[ "MIT" ]

58

2018-06-21T10:43:03.000Z

2022-03-29T12:42:11.000Z

from project_compile import CCPluginCompile

22

43

0.909091

5

44

7.8

1

0

0.090909

44

1

44

0.975

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b0acd1318f7787fc0c563d86b5fbcecc41a6269a

262

py

Python

Errors/ComplexOutOfScope.py

sybila/eBCSgen

d3e66c84eb908c989d22efbee20e41766948bdec

[ "MIT" ]

1

2020-11-09T15:51:35.000Z

Errors/ComplexOutOfScope.py

sybila/eBCSgen

d3e66c84eb908c989d22efbee20e41766948bdec

[ "MIT" ]

33

2020-01-29T09:51:45.000Z

2022-03-30T10:09:32.000Z

Errors/ComplexOutOfScope.py

sybila/eBCSgen

d3e66c84eb908c989d22efbee20e41766948bdec

[ "MIT" ]

1

2020-09-07T11:24:22.000Z

class ComplexOutOfScope(Exception): def __init__(self, complex): self.complex = complex def __str__(self): return 'Error while processing PCTL formula:' \ '\n\nComplex "{}" out of scope of the model.'.format(self.complex)

32.75

81

0.641221

30

262

5.333333

0.733333

0.20625

0

0.248092

262

7

82

37.428571

0.812183

0

0.301527

0

1

0.333333

false

0

0.166667

0.666667

0

null

1

0

1

0

null

0

1

0

1

0

5

b0c2b283d3c0459604c41c263006cfc8081ebec3

289

py

Python

tests/__main__.py

thautwarm/Ruiko

cceec88c90f7ec95c160cfda01bfc532610985e0

[ "MIT" ]

44

2018-06-08T04:52:02.000Z

2021-08-06T04:59:56.000Z

tests/__main__.py

thautwarm/Ruiko

cceec88c90f7ec95c160cfda01bfc532610985e0

[ "MIT" ]

2

2018-06-21T14:42:27.000Z

2018-12-10T06:15:46.000Z

tests/__main__.py

thautwarm/Ruiko

cceec88c90f7ec95c160cfda01bfc532610985e0

[ "MIT" ]

2

2018-06-18T10:43:20.000Z

2019-05-06T13:51:51.000Z

from .test_lr import * from .test_simple_ml import * from .test_compile import * from .test_zero_module import * from .test_indent import * from .test_optimize import * from .test_jump import * from .test_url import * from .test_xml import * if __name__ == '__main__': pytest.main()

20.642857

31

0.747405

43

289

4.581395

0.418605

0.365482

0.568528

0

0.16263

289

13

32

22.230769

0.81405

0

0.027682

0

1

0

true

0

0.818182

0

0.818182

0

null

1

0

null

0

1

0

1

0

1

0

5

b0d0faabef654567c1a96e5727baee995de6bf76

144

py

Python

threeML/catalogs/__init__.py

jasonfan1997/threeML

21b1c76ad3423f745b9f56413d93ee01d1d5855f

[ "BSD-3-Clause" ]

42

2019-01-10T06:11:38.000Z

2022-03-21T20:08:37.000Z

threeML/catalogs/__init__.py

jasonfan1997/threeML

21b1c76ad3423f745b9f56413d93ee01d1d5855f

[ "BSD-3-Clause" ]

187

2019-01-15T13:21:16.000Z

2022-03-31T12:15:55.000Z

threeML/catalogs/__init__.py

jasonfan1997/threeML

21b1c76ad3423f745b9f56413d93ee01d1d5855f

[ "BSD-3-Clause" ]

32

2019-01-14T10:24:56.000Z

2022-03-10T10:09:59.000Z

from .Fermi import FermiGBMBurstCatalog, FermiLATSourceCatalog, FermiLLEBurstCatalog, FermiGBMTriggerCatalog from .Swift import SwiftGRBCatalog

48

108

0.888889

11

144

11.636364

0.818182

0

0.076389

144

2

109

72

0.962406

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

9ffcebcdc810d658b59be6fdfb40c4456db173f5

89

py

Python

backend/kaggle/__init__.py

Huy-Ngo/skin-crawler

fada2c8608dd01c06d7987a409854ca86dee2ea1

[ "MIT" ]

4

2020-11-13T03:54:49.000Z

2020-12-02T06:06:30.000Z

backend/kaggle/__init__.py

Huy-Ngo/skin-crawler

fada2c8608dd01c06d7987a409854ca86dee2ea1

[ "MIT" ]

29

2020-11-18T09:56:11.000Z

2020-12-02T10:49:32.000Z

backend/kaggle/__init__.py

Huy-Ngo/skin-crawler

fada2c8608dd01c06d7987a409854ca86dee2ea1

[ "MIT" ]

3

2020-11-11T13:41:04.000Z

2020-12-04T02:28:38.000Z

from .validation import validate from .datasets_manager import download, SkinCancerMnist

29.666667

55

0.865169

10

89

7.6

0.8

0

0.101124

89

2

56

44.5

0.95

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b025ea8e5d4d57cc524b5a0f6d7fd2b50fef7115

77

py

Python

lib/python3.9/site-packages/spicy/__init__.py

rebecarivas/Projeto-IC-SENAC

3a3f8351c1ad96b8ed336a89516ec215036f8d30

[ "MIT" ]

5

2015-10-07T21:18:25.000Z

2020-02-28T20:22:33.000Z

lib/python3.9/site-packages/spicy/__init__.py

rebecarivas/Projeto-IC-SENAC

3a3f8351c1ad96b8ed336a89516ec215036f8d30

[ "MIT" ]

1

2018-11-01T20:34:39.000Z

spicy/__init__.py

Carreau/spicy

93260b55016744a4d07e2c8d66d91d8fe2190b87

[ "MIT" ]

null

""" Because spellchecker. SciPy at your fingertips """ from scipy import *

11

46

0.714286

9

77

6.111111

0.888889

0

0.181818

77

6

47

12.833333

0.873016

0.597403

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b03612ba249da828bcbcae02ed757f2efb9604c7

81

py

Python

test/test_for_circular_reference/Module2.py

songofhawk/autopy

d00588e7c55e1d74cea34ee036490d66e5cf5553

[ "MIT" ]

1

2022-02-16T08:37:25.000Z

test/test_for_circular_reference/Module2.py

songofhawk/simplerpa

69491f3e9a84c106921be972242d05c5e3db5849

[ "MIT" ]

null

test/test_for_circular_reference/Module2.py

songofhawk/simplerpa

69491f3e9a84c106921be972242d05c5e3db5849

[ "MIT" ]

null

from typing import List from . import Module1 class B: w: List[Module1.A]

10.125

23

0.691358

13

81

4.307692

0.692308

0

0.032258

0.234568

81

7

24

11.571429

0.870968

0

1

0

true

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c6875c44d667f4a283a9eb9131f77bc8bd4f1049

27

py

Python

pynflfastr/__init__.py

sansbacon/pynflfastr

dfdab6c260641a83616b1fa46d79ba9614f35a14

[ "Apache-2.0" ]

null

pynflfastr/__init__.py

sansbacon/pynflfastr

dfdab6c260641a83616b1fa46d79ba9614f35a14

[ "Apache-2.0" ]

null

pynflfastr/__init__.py

sansbacon/pynflfastr

dfdab6c260641a83616b1fa46d79ba9614f35a14

[ "Apache-2.0" ]

null

from .pynflfastr import *

9

25

0.740741

3

27

6.666667

1

0

0.185185

27

2

26

13.5

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c6ceb05afbbd769949f8d54b9e7b3a1f216a7ad8

96

py

Python

build/lib/url_shortner/__init__.py

omprakash1989/LilUrl

c230a8aaa985ea1d9d446634237a05002a3616c4

[ "MIT" ]

null

build/lib/url_shortner/__init__.py

omprakash1989/LilUrl

c230a8aaa985ea1d9d446634237a05002a3616c4

[ "MIT" ]

null

build/lib/url_shortner/__init__.py

omprakash1989/LilUrl

c230a8aaa985ea1d9d446634237a05002a3616c4

[ "MIT" ]

null

from lil_url.url_shortner import shorten_url from lil_url.libs.url_shortner import UrlShortener

32

50

0.885417

16

96

5

0.5

0.175

0.25

0

0.083333

96

2

51

48

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

c6d638394d9895451e9e8778c56527dbb3d67426

73

py

Python

nes/__init__.py

Hexadorsimal/pynes

dbb3d40c1240fa27f70fa798bcec09188755eec2

[ "MIT" ]

1

2017-05-13T18:57:09.000Z

nes/__init__.py

Hexadorsimal/py6502

dbb3d40c1240fa27f70fa798bcec09188755eec2

[ "MIT" ]

7

2020-10-24T17:16:56.000Z

2020-11-01T14:10:23.000Z

nes/__init__.py

Hexadorsimal/pynes

dbb3d40c1240fa27f70fa798bcec09188755eec2

[ "MIT" ]

null

from .nes import Nes from .bus.devices.cartridge import CartridgeFactory

24.333333

51

0.835616

10

73

6.1

0.7

0

0.109589

73

2

52

36.5

0.938462

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

05a36fe3ffec9a95a3d65b3a8c9d7af2d6e3f478

3,280

py

Python

appCore/apps/replica/contrib/zine/migrations/0001_initial.py

jadedgamer/alifewellplayed.com

b7b3dee8d3b9526c7cfe77078570a29394ef7e76

[ "MIT" ]

4

2017-04-22T11:03:01.000Z

2018-01-16T22:28:15.000Z

appCore/apps/replica/contrib/zine/migrations/0001_initial.py

alifewellplayed/alifewellplayed.com

b7b3dee8d3b9526c7cfe77078570a29394ef7e76

[ "MIT" ]

10

2017-04-06T19:54:42.000Z

2017-11-07T06:53:10.000Z

appCore/apps/replica/contrib/zine/migrations/0001_initial.py

alifewellplayed/alifewellplayed.com

b7b3dee8d3b9526c7cfe77078570a29394ef7e76

[ "MIT" ]

1

2017-12-14T12:49:40.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.5 on 2017-11-05 13:15 from __future__ import unicode_literals import datetime from django.conf import settings from django.db import migrations, models import django.db.models.deletion import uuid class Migration(migrations.Migration): initial = True dependencies = [ ('pulse', '0002_auto_20171013_1139'), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Collection', fields=[ ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)), ('date_created', models.DateTimeField(auto_now_add=True)), ('date_updated', models.DateTimeField(auto_now=True)), ('title', models.CharField(max_length=255)), ('slug', models.SlugField(editable=False, max_length=255)), ('deck', models.TextField(blank=True, max_length=1020)), ('deck_html', models.TextField(blank=True, editable=False)), ('pub_date', models.DateTimeField(blank=True, default=datetime.datetime.now, verbose_name='Publication date')), ('entries', models.ManyToManyField(blank=True, db_table='r_Collection_Entries', to='pulse.Entry')), ('image', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='pulse.Media')), ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='collections', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name_plural': 'Collections', 'db_table': 'r_Collection', 'ordering': ['-pub_date'], 'get_latest_by': 'pub_date', }, ), migrations.CreateModel( name='Promoted', fields=[ ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)), ('date_created', models.DateTimeField(auto_now_add=True)), ('date_updated', models.DateTimeField(auto_now=True)), ('title', models.CharField(max_length=255)), ('slug', models.SlugField(editable=False, max_length=255)), ('deck', models.TextField(blank=True, max_length=1020)), ('deck_html', models.TextField(blank=True, editable=False)), ('pub_date', models.DateTimeField(blank=True, default=datetime.datetime.now, verbose_name='Publication date')), ('entry', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='pulse.Entry')), ('image', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='pulse.Media')), ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='promoted_entries', to=settings.AUTH_USER_MODEL)), ], options={ 'verbose_name_plural': 'Promoted Entries', 'db_table': 'r_Promoted', 'ordering': ['-pub_date'], 'get_latest_by': 'pub_date', }, ), ]

48.955224

151

0.607622

346

3,280

5.569364

0.280347

0.042034

0.043591

0.0685

0.713544

0.679294

0.60301

0

0.022431

0.252439

3,280

66

152

49.69697

0.763458

0.020732

0

0.551724

1

0

0.152696

0.007167

0

1

0

false

0

0.103448

0

0.172414

0

null

0

1

0

1

0

1

0

null

0

5

05d06f3f2fef54b51a08f29c676b83872beeed90

52

py

Python

source/views/base_view.py

iYasha/pyfinancebot

4357131fdc414dc5682d5e1761d7483603dce4a6

[ "MIT" ]

null

source/views/base_view.py

iYasha/pyfinancebot

4357131fdc414dc5682d5e1761d7483603dce4a6

[ "MIT" ]

null

source/views/base_view.py

iYasha/pyfinancebot

4357131fdc414dc5682d5e1761d7483603dce4a6

[ "MIT" ]

null

from abc import ABC class BaseView(ABC): pass

8.666667

20

0.692308

8

52

4.5

0.75

0

0.25

52

5

21

10.4

0.923077

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

af565220997b074550c208d4834ecdef82cc639a

14

py

Python

tests/references.test/basic.py

nanolikeyou/pysonar2

0750a7a4474fe27f2ded14e9999d93470cb1ccc4

[ "Apache-2.0" ]

2,574

2015-01-02T04:50:03.000Z

2022-03-28T06:25:18.000Z

tests/references.test/basic.py

nanolikeyou/pysonar2

0750a7a4474fe27f2ded14e9999d93470cb1ccc4

[ "Apache-2.0" ]

38

2015-01-29T15:55:41.000Z

2022-02-04T10:02:26.000Z

tests/references.test/basic.py

nanolikeyou/pysonar2

0750a7a4474fe27f2ded14e9999d93470cb1ccc4

[ "Apache-2.0" ]

955

2015-01-02T10:14:13.000Z

2022-03-26T17:46:41.000Z

x = 1 print x

4.666667

7

0.571429

4

14

2

0.75

0

0.111111

0.357143

14

2

8

7

0.777778

0

null

0

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

af77424c18310801bf34942a508fe2540508b701

72

py

Python

modules/elitebgs/__init__.py

CommanderKronos/bARC

9c90d94bad0ff5f786d4d946cee2128c146860a1

[ "Apache-2.0" ]

null

modules/elitebgs/__init__.py

CommanderKronos/bARC

9c90d94bad0ff5f786d4d946cee2128c146860a1

[ "Apache-2.0" ]

null

modules/elitebgs/__init__.py

CommanderKronos/bARC

9c90d94bad0ff5f786d4d946cee2128c146860a1

[ "Apache-2.0" ]

null

from __future__ import annotations import attr from typing import List

14.4

34

0.847222

10

72

5.7

0.7

0

0.152778

72

4

35

18

0.934426

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

afb17a3ea3d0a89be62d67612ff02b5680f2f22d

16

py

Python

ssm/testSSM.py

LplusKira/Python

6d3e5ba39f856372530750bca331f8249addcf7d

[ "MIT" ]

null

ssm/testSSM.py

LplusKira/Python

6d3e5ba39f856372530750bca331f8249addcf7d

[ "MIT" ]

null

ssm/testSSM.py

LplusKira/Python

6d3e5ba39f856372530750bca331f8249addcf7d

[ "MIT" ]

null

print("yo man")

8

15

0.625

3

16

3.333333

1

0

0.125

16

1

16

0.714286

0

0.375

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

afb5d6403fea5d0ad2f9fb15e23982339661d50e

374

py

Python

ioutracker/dataloaders/__init__.py

jiankaiwang/ioutracker

8a55925fd5488a340b2ca5095d35105cc34b6cb8

[ "MIT" ]

3

2020-05-15T02:49:56.000Z

2022-02-10T15:57:20.000Z

ioutracker/dataloaders/__init__.py

jiankaiwang/ioutracker

8a55925fd5488a340b2ca5095d35105cc34b6cb8

[ "MIT" ]

null

ioutracker/dataloaders/__init__.py

jiankaiwang/ioutracker

8a55925fd5488a340b2ca5095d35105cc34b6cb8

[ "MIT" ]

2

2020-06-23T09:28:34.000Z

2020-08-13T02:38:22.000Z

import os, sys filePath = os.path.abspath(__file__) currentFolder = os.path.dirname(filePath) sys.path.append(currentFolder) from .MOTDataLoader import MOT_ID_LABEL from .MOTDataLoader import MOT_LABEL_ID from .MOTDataLoader import formatBBoxAndVis from .MOTDataLoader import formatForMetrics from .MOTDataLoader import loadLabel from .MOTDataLoader import maybeDownload

26.714286

43

0.84492

45

374

6.844444

0.422222

0.331169

0.448052

0.168831

0

0.09893

374

13

44

28.769231

0.913947

0

1

0

false

0

0.7

0

0.7

0

null

1

0

null

0

1

0

1

0

5

bb7b160deb3702579ff14f2f54ba52fed671a4cc

22

py

Python

src/Eigen-3.3/debug/gdb/__init__.py

shareq2005/CarND-MPC-Project

f4094e8b446d2fac2ca0a4c5054d5058621595b0

[ "MIT" ]

5,912

2016-07-21T07:20:56.000Z

2022-03-31T08:37:20.000Z

src/Eigen-3.3/debug/gdb/__init__.py

shareq2005/CarND-MPC-Project

f4094e8b446d2fac2ca0a4c5054d5058621595b0

[ "MIT" ]

1,914

2016-07-21T13:35:44.000Z

2022-03-31T01:04:57.000Z

src/Eigen-3.3/debug/gdb/__init__.py

shareq2005/CarND-MPC-Project

f4094e8b446d2fac2ca0a4c5054d5058621595b0

[ "MIT" ]

1,380

2017-06-12T23:58:23.000Z

2022-03-31T14:52:48.000Z

# Intentionally empty

11

21

0.818182

2

22

9

1

0

0.136364

22

1

22

0.947368

0.863636

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

bbf462373d8423021366977ecb9e60105d55a9a3

89

py

Python

apps/update-db/src/main.py

jhkennedy/hyp3

b69fb47832ec9c69ae6a796b0351d994e09e3951

[ "BSD-3-Clause" ]

10

2021-02-02T15:39:57.000Z

2022-01-22T01:00:04.000Z

apps/update-db/src/main.py

jhkennedy/hyp3

b69fb47832ec9c69ae6a796b0351d994e09e3951

[ "BSD-3-Clause" ]

86

2020-08-10T16:39:53.000Z

2022-03-31T19:37:17.000Z

apps/update-db/src/main.py

jhkennedy/hyp3

b69fb47832ec9c69ae6a796b0351d994e09e3951

[ "BSD-3-Clause" ]

4

2020-10-06T19:56:39.000Z

2021-12-20T18:36:16.000Z

from dynamo import jobs def lambda_handler(event, context): jobs.update_job(event)

14.833333

35

0.764045

13

89

5.076923

0.846154

0

0.157303

89

5

36

17.8

0.88

0

1

0.333333

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

bbf85a5223c9709601c6eac7f88a37fe3dd1c800

100

py

Python

bundles/finance/views/__init__.py

briancappello/flask-techan-unchained

a26a900bb47e40e5db67e78822dc6af59d1abc31

[ "Apache-2.0" ]

null

bundles/finance/views/__init__.py

briancappello/flask-techan-unchained

a26a900bb47e40e5db67e78822dc6af59d1abc31

[ "Apache-2.0" ]

18

2019-12-10T22:11:27.000Z

2021-12-13T20:42:58.000Z

bundles/finance/views/__init__.py

briancappello/flask-techan-unchained

a26a900bb47e40e5db67e78822dc6af59d1abc31

[ "Apache-2.0" ]

1

2021-07-26T08:20:28.000Z

from .history_controller import HistoryController from .watchlist_resource import WatchlistResource

33.333333

49

0.9

10

100

8.8

0.8

0

0.08

100

2

50

0.956522

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a5439389d095a670cd830fb400cabec398e86d2c

18,072

py

Python

RecSearch/DataInterfaces/Recommenders/Abstract.py

matthew-kimm/RecSearch

9bdff005e934e0cc238746f3929d340205d7429d

[ "MIT" ]

null

RecSearch/DataInterfaces/Recommenders/Abstract.py

matthew-kimm/RecSearch

9bdff005e934e0cc238746f3929d340205d7429d

[ "MIT" ]

null

RecSearch/DataInterfaces/Recommenders/Abstract.py

matthew-kimm/RecSearch

9bdff005e934e0cc238746f3929d340205d7429d

[ "MIT" ]

null

from abc import ABC, abstractmethod import numpy as np import pandas as pd from RecSearch.DataInterfaces.Shared.Config import InterfaceConfig class SharedRecommenders(InterfaceConfig): def neighbor_filter(self, neighbors: list, possible: pd.DataFrame): """Used for filtering neighbors""" indices = [n['Index'] for n in neighbors] return possible[possible.index.isin(indices)] def get_reduced_df(self, who: dict, possible: pd.DataFrame, n_column: str): neighbors = who['N__' + n_column] return self.neighbor_filter(neighbors, possible) def neighbor_attr(self, who: dict, n_column: str): neighbors = who['N__' + n_column] return pd.DataFrame(neighbors).set_index('Index') def get_filter(self, who: dict, filter_name: str): if filter_name is None: return [] else: return who['F__' + filter_name] class SharedMatrixRecommenders(SharedRecommenders): def createAdjacencyMatrix(self, df: pd.DataFrame, columns: list, values: list): return df.pivot(columns=columns, values=values).fillna(0) def createBipartiteHITSMatrix(self, A: pd.DataFrame): return A.T@A def addTeleportation(self, B: pd.DataFrame, xi: float): if (xi > 0) and (xi < 1): return xi * B + (1-xi) * np.ones(B.shape) / B.shape[0] else: raise NotImplementedError def powerIteration(self, M: pd.DataFrame, tol: float, max_iter: int, names: list, norm: bool=True): n = M.shape[0] v = np.random.rand(n, 1) v = v / np.linalg.norm(v, 1) for i in range(0, max_iter): nv = M@v if norm: nv = nv / np.linalg.norm(nv, 1) if np.linalg.norm(v-nv, 1) < tol: v = nv break v = nv return pd.Series(data=v.values.reshape(n), index=names) def sortedResult(self, v: pd.Series): return list(v.sort_values(ascending=False).index) class IDummyRecommender(ABC, SharedRecommenders): @classmethod def set_config(cls): additional_config = {'required': {(key := 'ir_column'): {'doc': super().get_doc(key), 'input': 'column()', 'validate': 'string()' } }, 'optional': {(key := 'filter_name'): {'doc': super().get_doc(key), 'input': 'filters()', 'validate': 'string(default=None)' } } } cls.cfg = super().update_config(cls.cfg, additional_config) @abstractmethod def iget_recommendation(self, who: dict, possible: pd.DataFrame, ir_column: str, filter_name: str = None) -> list: """ Abstract method to be implemented for getting recommendation for an id based on data. :param who: namedtuple containing index (id) with related data for recommendation from possible :param possible: dataframe containing id and related data of possible neighbors of who. :param ir_column: item rating column {item1: rating, item2: rating, ...} (in possible df) :return: list containing recommended items """ pass IDummyRecommender.set_config() class IDummyRecommenderHistory(ABC, InterfaceConfig): @classmethod def set_config(cls): additional_config = {'required': {(key := 'ir_column'): {'doc': super().get_doc(key), 'input': 'column()', 'validate': 'string()' }, (key := 'history_col'): { 'doc': super().get_doc(key), 'input': 'column()', 'validate': 'string()' } } } cls.cfg = super().update_config(cls.cfg, additional_config) @abstractmethod def iget_recommendation(self, who: dict, possible: pd.DataFrame, ir_column: str, history_col: str) -> list: """ Abstract method to be implemented for getting recommendation for an id based on data. :param who: namedtuple containing index (id) with related data for recommendation from possible :param possible: dataframe containing id and related data of possible neighbors of who. :param ir_column: item rating column {item1: rating, item2: rating, ...} (in possible df) :param history_col: item rating history :return: list containing recommended items """ pass IDummyRecommenderHistory.set_config() class IDummyRecommender1Parameter(ABC, InterfaceConfig): @classmethod def set_config(cls): additional_config = {'required': {(key := 'ir_column'): {'doc': super().get_doc(key), 'input': 'column()', 'validate': 'string()' }, (key := 'perfect_rating'): { 'doc': super().get_doc(key), 'input': 'text()', 'validate': 'float()' } } } cls.cfg = super().update_config(cls.cfg, additional_config) @abstractmethod def iget_recommendation(self, who: dict, possible: pd.DataFrame, ir_column: str, perfect_rating: float) -> list: """ Abstract method to be implemented for getting recommendation for an id based on data. :param who: namedtuple containing index (id) with related data for recommendation from possible :param possible: dataframe containing id and related data of possible neighbors of who. :param ir_column: item rating column {item1: rating, item2: rating, ...} (in possible df) :param perfect_rating: what is a good rating value for a perfect recommender :return: list containing recommended items """ pass IDummyRecommender1Parameter.set_config() class IRecommender(ABC, SharedRecommenders): @classmethod def set_config(cls): additional_config = {'required': {(key := 'n_column'): {'doc': super().get_doc(key), 'input': 'neighborhood()', 'validate': 'string()' }, (key := 'ir_column'): {'doc': super().get_doc(key), 'input': 'column()', 'validate': 'string()' } }, 'optional': {(key := 'filter_name'): {'doc': super().get_doc(key), 'input': 'filters()', 'validate': 'string(default=None)' } } } cls.cfg = super().update_config(cls.cfg, additional_config) @abstractmethod def iget_recommendation(self, who: dict, possible: pd.DataFrame, n_column: str, ir_column: str, filter_name: str = None) -> list: """ Abstract method to be implemented for getting recommendation for an id based on data. :param who: namedtuple containing index (id) with related data for recommendation from possible :param possible: dataframe containing id and related data of possible neighbors of who. :param n_column: neighbors column (in who tuple) :param ir_column: item rating column {item1: rating, item2: rating, ...} (in possible df) :param filter_name: name of filter for filtering items :return: list containing recommended items """ pass IRecommender.set_config() class ICountRecommender(ABC, SharedRecommenders): @classmethod def set_config(cls): additional_config = {'required': {(key := 'n_column'): {'doc': super().get_doc(key), 'input': 'neighborhood()', 'validate': 'string()' }, (key := 'ir_column'): {'doc': super().get_doc(key), 'input': 'column()', 'validate': 'string()' }, (key := 'count'): {'doc': super().get_doc(key), 'input': 'text()', 'validate': 'integer(min=0)'} }, 'optional': {(key := 'filter_name'): {'doc': super().get_doc(key), 'input': 'filters()', 'validate': 'string(default=None)' } } } cls.cfg = super().update_config(cls.cfg, additional_config) @abstractmethod def iget_recommendation(self, who: dict, possible: pd.DataFrame, n_column: str, ir_column: str, count: int, filter_name: str = None) -> list: """ Abstract method to be implemented for getting recommendation for an id based on data. :param who: namedtuple containing index (id) with related data for recommendation from possible :param possible: dataframe containing id and related data of possible neighbors of who. :param n_column: neighbors column (in who tuple) :param ir_column: item rating column {item1: rating, item2: rating, ...} (in possible df) :param count: required count :param filter_name: name of filter for filtering items :return: list containing recommended items """ pass ICountRecommender.set_config() class IMatrixRecommender(ABC, SharedMatrixRecommenders): @classmethod def set_config(cls): additional_config = {'required': {(key := 'n_column'): {'doc': super().get_doc(key), 'input': 'neighborhood()', 'validate': 'string()' }, (key := 'ir_column'): {'doc': super().get_doc(key), 'input': 'column()', 'validate': 'string()'}, (key := 'req_rating'): {'doc': super().get_doc(key), 'input': 'text()', 'validate': 'float()'}, (key := 'xi'): {'doc': super().get_doc(key), 'input': 'text()', 'validate': 'float(min=0.0001, max=0.9999)'}, (key := 'tol'): {'doc': super().get_doc(key), 'input': 'text()', 'validate': 'float()'}, (key := 'max_iter'): {'doc': super().get_doc(key), 'input': 'text()', 'validate': 'integer()'} }, 'optional': {(key := 'filter_name'): {'doc': super().get_doc(key), 'input': 'filters()', 'validate': 'string(default=None)' } } } cls.cfg = super().update_config(cls.cfg, additional_config) @abstractmethod def iget_recommendation(self, who: dict, possible: pd.DataFrame, n_column: str, ir_column: str, req_rating: float, xi: float, tol: float, max_iter: int, filter_name: str = None) -> list: """ Abstract method to be implemented for getting recommendation for an id based on data. :param who: namedtuple containing index (id) with related data for recommendation from possible :param possible: dataframe containing id and related data of possible neighbors of who. :param n_column: neighbors column (in who tuple) :param ir_column: item rating column {item1: rating, item2: rating, ...} (in possible df) :param req_rating: the rating required to form a link in the matrix :param xi: 0 < xi < 1 controls how often to use matrix transition over teleportation :param tol: tolerance for convergence :param max_iter: maximum iterations to run for :param filter_name: name of filter for filtering items :return: list containing recommended items """ pass IMatrixRecommender.set_config() class IMatrixRankRecommender(ABC, SharedMatrixRecommenders): @classmethod def set_config(cls): additional_config = {'required': {(key := 'n_column'): {'doc': super().get_doc(key), 'input': 'neighborhood()', 'validate': 'string()'}, (key := 'ir_column'): {'doc': super().get_doc(key), 'input': 'column()', 'validate': 'string()'}, (key := 'xi'): {'doc': super().get_doc(key), 'input': 'text()', 'validate': 'float(min=0.0001, max=0.9999)'}, (key := 'tol'): {'doc': super().get_doc(key), 'input': 'text()', 'validate': 'float(default=10e-6)'}, (key := 'max_iter'): {'doc': super().get_doc(key), 'input': 'text()', 'validate': 'integer()'} }, 'optional': {(key := 'filter_name'): {'doc': super().get_doc(key), 'input': 'filters()', 'validate': 'string(default=None)' } } } cls.cfg = super().update_config(cls.cfg, additional_config) @abstractmethod def iget_recommendation(self, who: dict, possible: pd.DataFrame, n_column: str, ir_column: str, xi: float, tol: float, max_iter: int, filter_name: str = None) -> list: """ Abstract method to be implemented for getting recommendation for an id based on data. :param who: namedtuple containing index (id) with related data for recommendation from possible :param possible: dataframe containing id and related data of possible neighbors of who. :param n_column: neighbors column (in who tuple) :param ir_column: item rating column {item1: rating, item2: rating, ...} (in possible df) :param xi: 0 < xi < 1 controls how often to use matrix transition over teleportation :param tol: tolerance for convergence :param max_iter: maximum iterations to run for :param filter_name: name of filter for filtering items :return: list containing recommended items """ pass IMatrixRankRecommender.set_config()

54.27027

145

0.437196

1,498

18,072

5.17223

0.116822

0.026846

0.036913

0.04698

0.77904

0.776717

0.761229

0.737352

0

0.00571

0.467021

18,072

332

146

54.433735

0.798692

0.211377

0

0.534562

0

0.094263

0

1

0.105991

false

0.032258

0.018433

0.013825

0.211982

0

null

0

1

0

null

0

5

a5730f916a9d171b3b78025c448df7ea4dffe0e1

127,678

py

Python

appengine-try-python-flask-master/main.py

XPRIZE/GLEXP-Team-SlideSpeech

5df16c0eadcebfafad702e7e7e1fdfa336ce4f72

[ "Apache-2.0" ]

2

2015-09-26T16:55:25.000Z

2017-05-28T13:12:53.000Z

appengine-try-python-flask-master/main.py

XPRIZE/GLEXP-Team-SlideSpeech

5df16c0eadcebfafad702e7e7e1fdfa336ce4f72

[ "Apache-2.0" ]

null

appengine-try-python-flask-master/main.py

XPRIZE/GLEXP-Team-SlideSpeech

5df16c0eadcebfafad702e7e7e1fdfa336ce4f72

[ "Apache-2.0" ]

3

2015-10-08T05:21:56.000Z

2021-03-02T07:19:50.000Z

from google.appengine.ext import ndb from flask import Flask, redirect, jsonify app = Flask(__name__) app.config['DEBUG'] = True # Note: We don't need to call run() since our application is embedded within # the App Engine WSGI application server. class Word(ndb.Model): """Sub model for representing a word.""" word = ndb.StringProperty(indexed=False) phonemestring = ndb.StringProperty(indexed=True) phonemes = ndb.StringProperty(indexed=False) @app.route('/lookups/<phonemestring>') def lookups(phonemestring): """Return a list of words starting with given phonemestring.""" query = Word.query(Word.phonemestring >= phonemestring, Word.phonemestring < unicode(phonemestring) + u"\ufffd") words = [] for word in query.fetch(10): if not word.word+","+word.phonemes in words: words.append(word.word+","+word.phonemes) return jsonify({"words": words}) @app.route('/add') def add(): """Add some data""" data = """THE,C27V04,C27/TH V04/E ABANDON,V04C17V01C34C19V04C34,V04/A C17/B V01/A C34/N C19/D V04/O C34/N ABILITY,V04C17V02C37V04C18V10,V04/A C17/B V02/I C37/L V04/I C18/T V10/Y ABLE,V06C17V04C37,V06/A C17/B V04/~ C37/L~ ABORTION,V04C17V11C38C30V04C34,V04/A C17/B V11/O C38/R C30/T V04/IO C34/N ABOUT,V04C17V13C18,V04/A C17/B V13/OU C18/T ABOVE,V04C17V04C25,V04/A C17/B V04/O_E C25/V ABROAD,V04C17C38V11C19,V04/A C17/B C38/R V11/OA C19/D ABSENCE,V01C17C28V04C34C28,V01/A C17/B C28/S V04/+ C34/N C28/C ABSOLUTE,V01C17C28V04C37V09C18,V01/A C17/B C28/S V04/O C37/L V09/U_E C18/T ABSOLUTELY,V01C17C28V04C37V09C18C37V10,V01/A C17/B C28/S V04/O C37/L V09/U_E C18/T C37/L V10/Y ABSTRACT,V01C17C28C18C38V01C22C18,V01/A C17/B C28/S C18/T C38/R V01/A C22/C C18/T ABUSE,V04C17C39V09C28,V04/A C17/B C39/U V09/+ C28/S ACADEMIC,V01C22V04C19V05C33V02C22,V01/A C22/C V04/A C19/D V05/E C33/M V02/I C22/C ACCEPT,V01C22C28V05C16C18,V01/A C22/C C28/C V05/E C16/P C18/T ACCEPTABLE,V01C22C28V05C16C18V04C17V04C37,V01/A C22/C C28/C V05/E C16/P C18/T V04/A C17/B V04/~ C37/L~ ACCESS,V01C22C28V05C28,V01/A C22/C C28/C V05/E C28/SS ACCIDENT,V01C22C28V04C19V04C34C18,V01/A C22/C C28/C V04/I C19/D V04/E C34/N C18/T ACCOMMODATION,V04C22V03C33V04C19V06C30V04C34,V04/A C22/CC V03/O C33/MM V04/O C19/D V06/A C30/T V04/IO C34/N ACCOMPANY,V04C22V04C33C16V04C34V10,V04/A C22/CC V04/O C33/M C16/P V04/A C34/N V10/Y ACCOMPLISH,V04C22V03C33C16C37V02C30,V04/A C22/CC V03/O C33/M C16/P C37/L V02/I C30/SH ACCORD,V04C22V11C38C19,V04/A C22/CC V11/O C38/R C19/D ACCOUNT,V04C22V13C34C18,V04/A C22/CC V13/OU C34/N C18/T ACCURATE,V01C22C39V15V04C18,V01/A C22/CC C39/U V15/R V04/A_E C18/T ACCUSE,V04C22C39V09C29,V04/A C22/CC C39/U V09/+ C29/S ACHIEVE,V04C20V10C25,V04/A C20/CH V10/I_E C25/V ACHIEVEMENT,V04C20V10C25C33V04C34C18,V04/A C20/CH V10/I_E C25/V C33/M V04/+ C34/N C18/T ACROSS,V04C22C38V11C28,V04/A C22/C C38/R V11/O C28/SS ACT,V01C22C18,V01/A C22/C C18/T ACTION,V01C22C30V04C34,V01/A C22/C C30/T V04/IO C34/N ACTIVE,V01C22C18V02C25,V01/A C22/C C18/T V02/I_E C25/V ACTIVITY,V01C22C18V02C25V02C18V10,V01/A C22/C C18/T V02/I C25/V V02/I C18/T V10/Y ACTOR,V01C22C18V15,V01/A C22/C C18/T V15/OR ACTUALLY,V01C22C20V09V04C37V10,V01/A C22/C C20/T V09/U V04/A C37/LL V10/Y ADAPT,V04C19V01C16C18,V04/A C19/D V01/A C16/P C18/T ADD,V01C19,V01/A C19/DD ADDITION,V04C19V02C30V04C34,V04/A C19/DD V02/I C30/T V04/IO C34/N ADDITIONAL,V04C19V02C30V04C34V04C37,V04/A C19/DD V02/I C30/T V04/IO C34/N V04/A C37/L ADDRESS,V01C19C38V05C28,V01/A C19/DD C38/R V05/E C28/SS ADJUST,V04C21V04C28C18,V04/A C21/DJ V04/U C28/S C18/T ADJUSTMENT,V04C21V04C28C18C33V04C34C18,V04/A C21/DJ V04/U C28/S C18/T C33/M V04/E C34/N C18/T ADMINISTRATION,V01C19C33V02C34V02C28C18C38V06C30V04C34,V01/A C19/D C33/M V02/I C34/N V02/I C28/S C18/T C38/R V06/A C30/T V04/IO C34/N ADMIRE,V01C19C33V07C38,V01/A C19/D C33/M V07/I_E C38/R ADMIT,V04C19C33V02C18,V04/A C19/D C33/M V02/I C18/T ADOPT,V04C19V03C16C18,V04/A C19/D V03/O C16/P C18/T ADULT,V04C19V04C37C18,V04/A C19/D V04/U C37/L C18/T ADVANCE,V04C19C25V01C34C28,V04/A C19/D C25/V V01/A_E C34/N C28/C ADVANTAGE,V01C19C25V01C34C18V02C21,V01/A C19/D C25/V V01/A C34/N C18/T V02/A_E C21/G ADVICE,V01C19C25V07C28,V01/A C19/D C25/V V07/I_E C28/C ADVISE,V01C19C25V07C29,V01/A C19/D C25/V V07/I_E C29/S ADVOCATE,V01C19C25V04C22V04C18,V01/A C19/D C25/V V04/O C22/C V04/A_E C18/T AFFAIR,V04C24V05C38,V04/A C24/FF V05/AI C38/R AFFECT,V04C24V05C22C18,V04/A C24/FF V05/E C22/C C18/T AFFORD,V04C24V11C38C19,V04/A C24/FF V11/O C38/R C19/D AFRAID,V04C24C38V06C19,V04/A C24/F C38/R V06/AI C19/D AGAIN,V04C23V05C34,V04/A C23/G V05/AI C34/N AGAINST,V04C23V05C34C28C18,V04/A C23/G V05/AI C34/N C28/S C18/T AGE,V06C21,V06/A_E C21/G AGENCY,V06C21V04C34C28V10,V06/A C21/G V04/E C34/N C28/C V10/Y AGENDA,V04C21V05C34C19V04,V04/A C21/G V05/E C34/N C19/D V04/A AGENT,V06C21V04C34C18,V06/A C21/G V04/E C34/N C18/T AGO,V04C23V08,V04/A C23/G V08/O AGREE,V04C23C38V10,V04/A C23/G C38/R V10/E_E AGREEMENT,V04C23C38V10C33V04C34C18,V04/A C23/G C38/R V10/E_E C33/M V04/+ C34/N C18/T AHEAD,V04C32V05C19,V04/A_E C32/H V05/A C19/D AID,V06V00C19,V06/A V00/I C19/D AIM,V06V00C33,V06/A V00/I C33/M AIR,V05V00C38,V05/A V00/I C38/R AIRCRAFT,V05V00C38C22C38V01C24C18,V05/A V00/I C38/R C22/C C38/R V01/A C24/F C18/T AIRLINE,V05V00C38C37V07C34,V05/A V00/I C38/R C37/L V07/I_E C34/N ALARM,V04C37V03C38C33,V04/A C37/L V03/A C38/R C33/M ALBUM,V01C37C17V04C33,V01/A C37/L C17/B V04/U C33/M ALCOHOL,V01C37C22V04C32V03C37,V01/A C37/L C22/C V04/O C32/H V03/O C37/L ALIVE,V04C37V07C25,V04/A C37/L V07/I_E C25/V ALL,V11C37,V11/A C37/LL ALLOW,V04C37V13,V04/A C37/LL V13/OW ALLY,V01C37V07,V01/A C37/LL V07/Y ALMOST,V11C37C33V08C28C18,V11/A C37/L C33/M V08/O C28/S C18/T ALONE,V04C37V08C34,V04/A C37/L V08/O_E C34/N ALONG,V04C37V11C35,V04/A C37/L V11/O C35/NG ALONGSIDE,V04C37V11C35C28V07C19,V04/A C37/L V11/O C35/NG C28/S V07/I_E C19/D ALREADY,V11C37C38V05C19V10,V11/A_E C37/L C38/R V05/A C19/D V10/Y ALRIGHT,V11C37C38V07C18,V11/A C37/L C38/R V07/IGH C18/T ALSO,V11C37C28V08,V11/A C37/L C28/S V08/O ALWAYS,V11C37C36V06C29,V11/A C37/L C36/W V06/AY C29/S AMAZE,V04C33V06C29,V04/A C33/M V06/A_E C29/Z AMENDMENT,V04C33V05C34C19C33V04C34C18,V04/A C33/M V05/E C34/N C19/D C33/M V04/E C34/N C18/T AMONG,V04C33V04C35,V04/A C33/M V04/O C35/NG AMOUNT,V04C33V13C34C18,V04/A C33/M V13/OU C34/N C18/T ANALYSIS,V01C34V01C37V02C28V02C28,V01/A C34/N V01/A C37/L V02/Y C28/S V02/I C28/S ANALYST,V01C34V04C37V02C28C18,V01/A C34/N V04/A C37/L V02/Y C28/S C18/T ANALYZE,V01C34V04C37V07C29,V01/A C34/N V04/A C37/L V07/Y_E C29/Z ANCIENT,V06C34C20V04C34C18,V06/A C34/N C20/C V04/I_E C34/N C18/T AND,V04C34C19,V04/A C34/N C19/D ANGLE,V01C35C23V04C37,V01/A C35/N C23/G V04/~ C37/L~ ANGRY,V01C35C23C38V10,V01/A C35/N C23/G C38/R V10/Y ANIMAL,V01C34V04C33V04C37,V01/A C34/N V04/I C33/M V04/A C37/L ANNOUNCE,V04C34V13C34C28,V04/A C34/NN V13/OU_E C34/N C28/C ANNUAL,V01C34C39V09V04C37,V01/A C34/NN C39/U V09/+ V04/A C37/L ANSWER,V01C34C28V15,V01/A C34/N C28/S V15/WER ANTICIPATE,V01C34C18V02C28V04C16V06C18,V01/A C34/N C18/T V02/I C28/C V04/I C16/P V06/A_E C18/T ANXIETY,V01C35C29V07V04C18V10,V01/A C35/N C29/X V07/I V04/E C18/T V10/Y ANY,V05C34V10,V05/A C34/N V10/Y ANYBODY,V05C34V10C17V04C19V10,V05/A C34/N V10/Y C17/B V04/O C19/D V10/Y ANYMORE,V05C34V10C33V11C38,V05/A C34/N V10/Y C33/M V11/O_E C38/R ANYTHING,V05C34V10C26V02C35,V05/A C34/N V10/Y C26/TH V02/I C35/NG ANYWAY,V05C34V10C36V06,V05/A C34/N V10/Y C36/W V06/AY APART,V04C16V03C38C18,V04/A C16/P V03/A C38/R C18/T APARTMENT,V04C16V03C38C18C33V04C34C18,V04/A C16/P V03/A C38/R C18/T C33/M V04/E C34/N C18/T APOLOGIZE,V04C16V03C37V04C21V07C29,V04/A C16/P V03/O C37/L V04/O C21/G V07/I_E C29/Z APPARENT,V04C16V05C38V04C34C18,V04/A C16/PP V05/A C38/R V04/E C34/N C18/T APPARENTLY,V04C16V05C38V04C34C18C37V10,V04/A C16/PP V05/A C38/R V04/E C34/N C18/T C37/L V10/Y APPEAL,V04C16V10C37,V04/A C16/PP V10/EA C37/L APPEAR,V04C16V02C38,V04/A C16/PP V02/EA C38/R APPEARANCE,V04C16V02C38V04C34C28,V04/A C16/PP V02/A C38/R V04/A_E C34/N C28/C APPLICATION,V01C16C37V04C22V06C30V04C34,V01/A C16/PP C37/L V04/I C22/C V06/A C30/T V04/IO C34/N APPLY,V04C16C37V07,V04/A C16/PP C37/L V07/Y APPOINT,V04C16V14C34C18,V04/A C16/PP V14/OI C34/N C18/T APPOINTMENT,V04C16V14C34C18C33V04C34C18,V04/A C16/PP V14/OI C34/N C18/T C33/M V04/E C34/N C18/T APPROACH,V04C16C38V08C20,V04/A C16/PP C38/R V08/OA C20/CH APPROPRIATE,V04C16C38V08C16C38V10V04C18,V04/A C16/PP C38/R V08/O C16/P C38/R V10/I V04/A_E C18/T APPROVAL,V04C16C38V09C25V04C37,V04/A C16/PP C38/R V09/O C25/V V04/A C37/L APPROVE,V04C16C38V09C25,V04/A C16/PP C38/R V09/O_E C25/V APPROXIMATELY,V04C16C38V03C22C28V04C33V04C18C37V10,V04/A C16/PP C38/R V03/O C22/X C28/+ V04/I C33/M V04/A_E C18/T C37/L V10/Y AREA,V05C38V10V04,V05/A C38/R V10/E V04/A ARGUMENT,V03C38C23C39V04C33V04C34C18,V03/A C38/R C23/G C39/U V04/+ C33/M V04/E C34/N C18/T ARISE,V15V07C29,V15/AR V07/I_E C29/S ARM,V03C38C33,V03/A C38/R C33/M ARMY,V03C38C33V10,V03/A C38/R C33/M V10/Y AROUND,V15V13C34C19,V15/AR V13/OU C34/N C19/D ART,V03C38C18,V03/A C38/R C18/T ARTICLE,V03C38C18V04C22V04C37,V03/A C38/R C18/T V04/I C22/C V04/~ C37/L~ ARTIST,V03C38C18V04C28C18,V03/A C38/R C18/T V04/I C28/S C18/T ASHAMED,V04C30V06C33C19,V04/A C30/SH V06/A_E C33/M C19/D ASIDE,V04C28V07C19,V04/A C28/S V07/I_E C19/D ASK,V01C28C22,V01/A C28/S C22/K ASSESS,V04C28V05C28,V04/A C28/SS V05/E C28/SS ASSESSMENT,V04C28V05C28C33V04C34C18,V04/A C28/SS V05/E C28/SS C33/M V04/E C34/N C18/T ASSET,V01C28V05C18,V01/A C28/SS V05/E C18/T ASSIGN,V04C28V07C34,V04/A C28/SS V07/I C34/GN ASSIST,V04C28V02C28C18,V04/A C28/SS V02/I C28/S C18/T ASSISTANCE,V04C28V02C28C18V04C34C28,V04/A C28/SS V02/I C28/S C18/T V04/A_E C34/N C28/C ASSISTANT,V04C28V02C28C18V04C34C18,V04/A C28/SS V02/I C28/S C18/T V04/A C34/N C18/T ASSOCIATE,V04C28V08C28V10V04C18,V04/A C28/SS V08/O C28/C V10/I V04/A_E C18/T ASSOCIATION,V04C28V08C28V10V06C30V04C34,V04/A C28/SS V08/O C28/C V10/I V06/A C30/T V04/IO C34/N ASSUME,V04C28V09C33,V04/A C28/SS V09/U_E C33/M ASSUMPTION,V04C28V04C33C16C30V04C34,V04/A C28/SS V04/U C33/M C16/P C30/T V04/IO C34/N ASSURE,V04C30V12C38,V04/A C30/SS V12/U_E C38/R ATTACH,V04C18V01C20,V04/A C18/TT V01/A C20/CH ATTACHMENT,V04C18V01C20C33V04C34C18,V04/A C18/TT V01/A C20/CH C33/M V04/E C34/N C18/T ATTACK,V04C18V01C22,V04/A C18/TT V01/A C22/CK ATTEMPT,V04C18V05C33C16C18,V04/A C18/TT V05/E C33/M C16/P C18/T ATTEND,V04C18V05C34C19,V04/A C18/TT V05/E C34/N C19/D ATTENTION,V04C18V05C34C30V04C34,V04/A C18/TT V05/E C34/N C30/T V04/IO C34/N ATTITUDE,V01C18V04C18V09C19,V01/A C18/TT V04/I C18/T V09/U_E C19/D ATTRACT,V04C18C38V01C22C18,V04/A C18/TT C38/R V01/A C22/C C18/T ATTRACTION,V04C18C38V01C22C30V04C34,V04/A C18/TT C38/R V01/A C22/C C30/T V04/IO C34/N ATTRACTIVE,V04C18C38V01C22C18V02C25,V04/A C18/TT C38/R V01/A C22/C C18/T V02/I_E C25/V ATTRIBUTE,V04C18C38V02C17C39V09C18,V04/A C18/TT C38/R V02/I C17/B C39/U V09/+ C18/T AVAILABLE,V04C25V06C37V04C17V04C37,V04/A C25/V V06/AI C37/L V04/A C17/B V04/~ C37/L~ AVOID,V04C25V14C19,V04/A C25/V V14/OI C19/D AWARD,V04C36V11C38C19,V04/A C36/W V11/A C38/R C19/D AWARE,V04C36V05C38,V04/A C36/W V05/A_E C38/R AWAY,V04C36V06,V04/A C36/W V06/AY BABY,C17V06C17V10,C17/B V06/A C17/B V10/Y BACK,C17V01C22,C17/B V01/A C22/CK BACKGROUND,C17V01C22C23C38V13C34C19,C17/B V01/A C22/CK C23/G C38/R V13/OU C34/N C19/D BAD,C17V01C19,C17/B V01/A C19/D BADLY,C17V01C19C37V10,C17/B V01/A C19/D C37/L V10/Y BAG,C17V01C23,C17/B V01/A C23/G BALANCE,C17V01C37V04C34C28,C17/B V01/A C37/L V04/A_E C34/N C28/C BALL,C17V11C37,C17/B V11/A C37/LL BAN,C17V01C34,C17/B V01/A C34/N BAND,C17V01C34C19,C17/B V01/A C34/N C19/D BANK,C17V01C35C22,C17/B V01/A C35/N C22/K BAR,C17V03C38,C17/B V03/A C38/R BARELY,C17V05C38C37V10,C17/B V05/A_E C38/R C37/L V10/Y BASE,C17V06C28,C17/B V06/A_E C28/S BASIC,C17V06C28V02C22,C17/B V06/A C28/S V02/I C22/C BASICALLY,C17V06C28V02C22C37V10,C17/B V06/A C28/S V02/I C22/C C37/ALL V10/Y BASIS,C17V06C28V04C28,C17/B V06/A C28/S V04/I C28/S BATH,C17V01C26,C17/B V01/A C26/TH BATTLE,C17V01C18V04C37,C17/B V01/A C18/TT V04/~ C37/L~ BEACH,C17V10C20,C17/B V10/EA C20/CH BEAR,C17V05C38,C17/B V05/EA C38/R BEAT,C17V10C18,C17/B V10/EA C18/T BED,C17V05C19,C17/B V05/E C19/D BEDROOM,C17V05C19C38V09C33,C17/B V05/E C19/D C38/R V09/OO C33/M BEER,C17V02C38,C17/B V02/E_E C38/R BEGIN,C17V02C23V02C34,C17/B V02/E C23/G V02/I C34/N BEHAVIOR,C17V02C32V06C25C39V15,C17/B V02/E C32/H V06/A C25/V C39/I V15/OR BEHIND,C17V02C32V07C34C19,C17/B V02/E C32/H V07/I C34/N C19/D BELL,C17V05C37,C17/B V05/E C37/LL BELONG,C17V02C37V11C35,C17/B V02/E C37/L V11/O C35/NG BELOW,C17V02C37V08,C17/B V02/E C37/L V08/OW BELT,C17V05C37C18,C17/B V05/E C37/L C18/T BEND,C17V05C34C19,C17/B V05/E C34/N C19/D BENEFIT,C17V05C34V04C24V02C18,C17/B V05/E C34/N V04/E C24/F V02/I C18/T BET,C17V05C18,C17/B V05/E C18/T BEYOND,C17V02V03C34C19,C17/B V02/Y_E V03/O C34/N C19/D BIAS,C17V07V04C28,C17/B V07/I V04/A C28/S BID,C17V02C19,C17/B V02/I C19/D BIG,C17V02C23,C17/B V02/I C23/G BIKE,C17V07C22,C17/B V07/I_E C22/K BILL,C17V02C37,C17/B V02/I C37/LL BILLION,C17V02C37C39V04C34,C17/B V02/I C37/LL C39/I V04/O C34/N BIN,C17V02C34,C17/B V02/I C34/N BIND,C17V07C34C19,C17/B V07/I C34/N C19/D BIOLOGICAL,C17V07V04C37V03C21V02C22V04C37,C17/B V07/I V04/O C37/L V03/O C21/G V02/I C22/C V04/A C37/L BIRD,C17V15C19,C17/B V15/IR C19/D BIRTH,C17V15C26,C17/B V15/IR C26/TH BIT,C17V02C18,C17/B V02/I C18/T BITE,C17V07C18,C17/B V07/I_E C18/T BLACK,C17C37V01C22,C17/B C37/L V01/A C22/CK BLAME,C17C37V06C33,C17/B C37/L V06/A_E C33/M BLESS,C17C37V05C28,C17/B C37/L V05/E C28/SS BLIND,C17C37V07C34C19,C17/B C37/L V07/I C34/N C19/D BLOCK,C17C37V03C22,C17/B C37/L V03/O C22/CK BLOOD,C17C37V04C19,C17/B C37/L V04/OO C19/D BLOODY,C17C37V04C19V10,C17/B C37/L V04/OO C19/D V10/Y BLOW,C17C37V08,C17/B C37/L V08/OW BLUE,C17C37V09,C17/B C37/L V09/U_E BOARD,C17V11C38C19,C17/B V11/OA C38/R C19/D BOAT,C17V08C18,C17/B V08/OA C18/T BODY,C17V03C19V10,C17/B V03/O C19/D V10/Y BOMB,C17V03C33,C17/B V03/O C33/MB BOND,C17V03C34C19,C17/B V03/O C34/N C19/D BONE,C17V08C34,C17/B V08/O_E C34/N BOOK,C17V12C22,C17/B V12/OO C22/K BOOM,C17V09C33,C17/B V09/OO C33/M BOOT,C17V09C18,C17/B V09/OO C18/T BORE,C17V11C38,C17/B V11/O_E C38/R BORROW,C17V03C38V08,C17/B V03/O C38/RR V08/OW BOSS,C17V03C28,C17/B V03/O C28/SS BOTH,C17V08C26,C17/B V08/O C26/TH BOTTLE,C17V03C18V04C37,C17/B V03/O C18/TT V04/~ C37/L~ BOTTOM,C17V03C18V04C33,C17/B V03/O C18/TT V04/O C33/M BOUNDARY,C17V13C34C19V15V10,C17/B V13/OU C34/N C19/D V15/AR V10/Y BOWL,C17V08C37,C17/B V08/OW C37/L BOX,C17V03C22C28,C17/B V03/O C22/X C28/+ BOY,C17V14,C17/B V14/OY BRAIN,C17C38V06C34,C17/B C38/R V06/AI C34/N BRANCH,C17C38V01C34C20,C17/B C38/R V01/A C34/N C20/CH BRAND,C17C38V01C34C19,C17/B C38/R V01/A C34/N C19/D BREAD,C17C38V05C19,C17/B C38/R V05/EA C19/D BREAK,C17C38V06C22,C17/B C38/R V06/EA C22/K BREAKFAST,C17C38V05C22C24V04C28C18,C17/B C38/R V05/EA C22/K C24/F V04/A C28/S C18/T BREATH,C17C38V05C26,C17/B C38/R V05/EA C26/TH BREED,C17C38V10C19,C17/B C38/R V10/E_E C19/D BRIDGE,C17C38V02C21,C17/B C38/R V02/I_E C21/DG BRIEF,C17C38V10C24,C17/B C38/R V10/I_E C24/F BRIEFLY,C17C38V10C24C37V10,C17/B C38/R V10/I_E C24/F C37/L V10/Y BRIGHT,C17C38V07C18,C17/B C38/R V07/IGH C18/T BRILLIANT,C17C38V02C37C39V04C34C18,C17/B C38/R V02/I C37/LL C39/I V04/A C34/N C18/T BRING,C17C38V02C35,C17/B C38/R V02/I C35/NG BROAD,C17C38V11C19,C17/B C38/R V11/OA C19/D BROADCAST,C17C38V11C19C22V01C28C18,C17/B C38/R V11/OA C19/D C22/C V01/A C28/S C18/T BROWN,C17C38V13C34,C17/B C38/R V13/OW C34/N BRUSH,C17C38V04C30,C17/B C38/R V04/U C30/SH BUDGET,C17V04C21V02C18,C17/B V04/U C21/DG V02/E C18/T BUILD,C17V02C37C19,C17/B V02/UI C37/L C19/D BUNCH,C17V04C34C20,C17/B V04/U C34/N C20/CH BURDEN,C17V15C19V04C34,C17/B V15/UR C19/D V04/E C34/N BURN,C17V15C34,C17/B V15/UR C34/N BURST,C17V15C28C18,C17/B V15/UR C28/S C18/T BURY,C17V05C38V10,C17/B V05/U C38/R V10/Y BUS,C17V04C28,C17/B V04/U C28/S BUSINESS,C17V02C29V00C34V04C28,C17/B V02/U C29/S V00/I C34/N V04/E C28/SS BUSY,C17V02C29V10,C17/B V02/U C29/S V10/Y BUT,C17V04C18,C17/B V04/U C18/T BUTTON,C17V04C18V04C34,C17/B V04/U C18/TT V04/O C34/N BUY,C17V07,C17/B V07/UY CABLE,C22V06C17V04C37,C22/C V06/A C17/B V04/~ C37/L~ CAKE,C22V06C22,C22/C V06/A_E C22/K CALCULATE,C22V01C37C22C39V04C37V06C18,C22/C V01/A C37/L C22/C C39/U V04/+ C37/L V06/A_E C18/T CALL,C22V11C37,C22/C V11/A C37/LL CALM,C22V03C33,C22/C V03/A C33/LM CAMP,C22V01C33C16,C22/C V01/A C33/M C16/P CAMPAIGN,C22V01C33C16V06C34,C22/C V01/A C33/M C16/P V06/AI C34/GN CAN,C22V01C34,C22/C V01/A C34/N CANCEL,C22V01C34C28V04C37,C22/C V01/A C34/N C28/C V04/E C37/L CAP,C22V01C16,C22/C V01/A C16/P CAPABILITY,C22V06C16V04C17V02C37V04C18V10,C22/C V06/A C16/P V04/A C17/B V02/I C37/L V04/I C18/T V10/Y CAPABLE,C22V06C16V04C17V04C37,C22/C V06/A C16/P V04/A C17/B V04/~ C37/L~ CAPACITY,C22V04C16V01C28V04C18V10,C22/C V04/A C16/P V01/A C28/C V04/I C18/T V10/Y CAPITAL,C22V01C16V02C18V04C37,C22/C V01/A C16/P V02/I C18/T V04/A C37/L CAPTURE,C22V01C16C20V15,C22/C V01/A C16/P C20/T V15/UR_E CAR,C22V03C38,C22/C V03/A C38/R CARBON,C22V03C38C17V04C34,C22/C V03/A C38/R C17/B V04/O C34/N CARD,C22V03C38C19,C22/C V03/A C38/R C19/D CARE,C22V05C38,C22/C V05/A_E C38/R CAREER,C22V15V02C38,C22/C V15/AR V02/E_E C38/R CAREFUL,C22V05C38C24V04C37,C22/C V05/A_E C38/R C24/F V04/U C37/L CAREFULLY,C22V05C38C24V04C37V10,C22/C V05/A_E C38/R C24/F V04/U C37/LL V10/Y CARPET,C22V03C38C16V04C18,C22/C V03/A C38/R C16/P V04/E C18/T CARRY,C22V01C38V10,C22/C V01/A C38/RR V10/Y CASE,C22V06C28,C22/C V06/A_E C28/S CASH,C22V01C30,C22/C V01/A C30/SH CAST,C22V01C28C18,C22/C V01/A C28/S C18/T CASTLE,C22V01C28V04C37,C22/C V01/A C28/ST V04/~ C37/L~ CAT,C22V01C18,C22/C V01/A C18/T CATALOG,C22V01C18V04C37V11C23,C22/C V01/A C18/T V04/A C37/L V11/O C23/G CATCH,C22V01C20,C22/C V01/A C20/TCH CATEGORY,C22V01C18V04C23V11C38V10,C22/C V01/A C18/T V04/E C23/G V11/O C38/R V10/Y CAUSE,C22V03C29,C22/C V03/AU_E C29/S CELEBRATION,C28V05C37V04C17C38V06C30V04C34,C28/C V05/E C37/L V04/E C17/B C38/R V06/A C30/T V04/IO C34/N CELL,C28V05C37,C28/C V05/E C37/LL CENT,C28V05C34C18,C28/C V05/E C34/N C18/T CENTRAL,C28V05C34C18C38V04C37,C28/C V05/E C34/N C18/T C38/R V04/A C37/L CENTURY,C28V05C34C20V15V10,C28/C V05/E C34/N C20/T V15/UR V10/Y CEREMONY,C28V05C38V04C33V08C34V10,C28/C V05/E C38/R V04/E C33/M V08/O C34/N V10/Y CHANT,C20V01C34C18,C20/CH V01/A C34/N C18/T CIRCLE,C28V15C22V04C37,C28/C V15/IR C22/C V04/~ C37/L~ CIRCUMSTANCE,C28V15C22V04C33C28C18V01C34C28,C28/C V15/IR C22/C V04/U C33/M C28/S C18/T V01/A_E C34/N C28/C CITE,C28V07C18,C28/C V07/I_E C18/T CITIZEN,C28V02C18V04C29V04C34,C28/C V02/I C18/T V04/I C29/Z V04/E C34/N CITY,C28V02C18V10,C28/C V02/I C18/T V10/Y CIVIL,C28V02C25V04C37,C28/C V02/I C25/V V04/I C37/L CIVILIAN,C28V04C25V02C37C39V04C34,C28/C V04/I C25/V V02/I C37/L C39/I V04/A C34/N CLAIM,C22C37V06C33,C22/C C37/L V06/AI C33/M CLASS,C22C37V01C28,C22/C C37/L V01/A C28/SS CLASSIC,C22C37V01C28V02C22,C22/C C37/L V01/A C28/SS V02/I C22/C CLASSICAL,C22C37V01C28V02C22V04C37,C22/C C37/L V01/A C28/SS V02/I C22/C V04/A C37/L CLAUSE,C22C37V11C29,C22/C C37/L V11/AU_E C29/S CLEAN,C22C37V10C34,C22/C C37/L V10/EA C34/N CLEAR,C22C37V02C38,C22/C C37/L V02/EA C38/R CLEARLY,C22C37V02C38C37V10,C22/C C37/L V02/EA C38/R C37/L V10/Y CLIMATE,C22C37V07C33V04C18,C22/C C37/L V07/I C33/M V04/A_E C18/T CLIMB,C22C37V07C33,C22/C C37/L V07/I C33/MB CLINICAL,C22C37V02C34V04C22V04C37,C22/C C37/L V02/I C34/N V04/I C22/C V04/A C37/L CLOCK,C22C37V03C22,C22/C C37/L V03/O C22/CK CLOSE,C22C37V08C28,C22/C C37/L V08/O_E C28/S CLOSELY,C22C37V08C28C37V10,C22/C C37/L V08/O_E C28/S C37/L V10/Y CLOTHES,C22C37V08C27C29,C22/C C37/L V08/O_E C27/TH C29/S CLOTHING,C22C37V08C27V02C35,C22/C C37/L V08/O C27/TH V02/I C35/NG CLOUD,C22C37V13C19,C22/C C37/L V13/OU C19/D CLUB,C22C37V04C17,C22/C C37/L V04/U C17/B COACH,C22V08C20,C22/C V08/OA C20/CH COAL,C22V08C37,C22/C V08/OA C37/L COAT,C22V08C18,C22/C V08/OA C18/T CODE,C22V08C19,C22/C V08/O_E C19/D COFFEE,C22V03C24V10,C22/C V03/O C24/FF V10/EE COIN,C22V14C34,C22/C V14/OI C34/N COLD,C22V08C37C19,C22/C V08/O C37/L C19/D COLLAPSE,C22V04C37V01C16C28,C22/C V04/O C37/LL V01/A_E C16/P C28/S COLLEAGUE,C22V03C37V10C23,C22/C V03/O C37/LL V10/EA C23/GUE COLLECT,C22V04C37V05C22C18,C22/C V04/O C37/LL V05/E C22/C C18/T COLLECTION,C22V04C37V05C22C30V04C34,C22/C V04/O C37/LL V05/E C22/C C30/T V04/IO C34/N COLOR,C22V04C37V15,C22/C V04/O C37/L V15/OR COLUMN,C22V03C37V04C33,C22/C V03/O C37/L V04/U C33/MN COMBINATION,C22V03C33C17V04C34V06C30V04C34,C22/C V03/O C33/M C17/B V04/I C34/N V06/A C30/T V04/IO C34/N COMBINE,C22V03C33C17V07C34,C22/C V03/O C33/M C17/B V07/I_E C34/N COME,C22V04C33,C22/C V04/O_E C33/M COMEDY,C22V03C33V04C19V10,C22/C V03/O C33/M V04/E C19/D V10/Y COMFORT,C22V04C33C24V15C18,C22/C V04/O C33/M C24/F V15/OR C18/T COMFORTABLE,C22V04C33C24V15C18V04C17V04C37,C22/C V04/O C33/M C24/F V15/OR C18/T V04/A C17/B V04/~ C37/L~ COMMAND,C22V04C33V01C34C19,C22/C V04/O C33/MM V01/A C34/N C19/D COMMENT,C22V03C33V05C34C18,C22/C V03/O C33/MM V05/E C34/N C18/T COMMERCIAL,C22V04C33V15C30V04C37,C22/C V04/O C33/MM V15/ER C30/C V04/IA C37/L COMMISSION,C22V04C33V02C30V04C34,C22/C V04/O C33/MM V02/I C30/SS V04/IO C34/N COMMIT,C22V04C33V02C18,C22/C V04/O C33/MM V02/I C18/T COMMITMENT,C22V04C33V02C18C33V04C34C18,C22/C V04/O C33/MM V02/I C18/T C33/M V04/E C34/N C18/T COMMITTEE,C22V04C33V02C18V10,C22/C V04/O C33/MM V02/I C18/TT V10/EE COMMON,C22V03C33V04C34,C22/C V03/O C33/MM V04/O C34/N COMMUNICATE,C22V04C33C39V09C34V04C22V06C18,C22/C V04/O C33/MM C39/U V09/+ C34/N V04/I C22/C V06/A_E C18/T COMMUNICATION,C22V04C33C39V09C34V04C22V06C30V04C34,C22/C V04/O C33/MM C39/U V09/+ C34/N V04/I C22/C V06/A C30/T V04/IO C34/N COMMUNITY,C22V04C33C39V09C34V04C18V10,C22/C V04/O C33/MM C39/U V09/+ C34/N V04/I C18/T V10/Y COMPANY,C22V04C33C16V04C34V10,C22/C V04/O C33/M C16/P V04/A C34/N V10/Y COMPARE,C22V04C33C16V05C38,C22/C V04/O C33/M C16/P V05/A_E C38/R COMPARISON,C22V04C33C16V05C38V04C28V04C34,C22/C V04/O C33/M C16/P V05/A C38/R V04/I C28/S V04/O C34/N COMPENSATION,C22V03C33C16V04C34C28V06C30V04C34,C22/C V03/O C33/M C16/P V04/E C34/N C28/S V06/A C30/T V04/IO C34/N COMPETITION,C22V03C33C16V04C18V02C30V04C34,C22/C V03/O C33/M C16/P V04/E C18/T V02/I C30/T V04/IO C34/N COMPETITOR,C22V04C33C16V05C18V04C18V15,C22/C V04/O C33/M C16/P V05/E C18/T V04/I C18/T V15/OR COMPLAIN,C22V04C33C16C37V06C34,C22/C V04/O C33/M C16/P C37/L V06/AI C34/N COMPLAINT,C22V04C33C16C37V06C34C18,C22/C V04/O C33/M C16/P C37/L V06/AI C34/N C18/T COMPLEX,C22V03C33C16C37V05C22C28,C22/C V03/O C33/M C16/P C37/L V05/E C22/X C28/+ COMPLEXITY,C22V04C33C16C37V05C22C28V04C18V10,C22/C V04/O C33/M C16/P C37/L V05/E C22/X C28/+ V04/I C18/T V10/Y COMPLICATE,C22V03C33C16C37V04C22V06C18,C22/C V03/O C33/M C16/P C37/L V04/I C22/C V06/A_E C18/T COMPONENT,C22V04C33C16V08C34V04C34C18,C22/C V04/O C33/M C16/P V08/O C34/N V04/E C34/N C18/T COMPOSE,C22V04C33C16V08C29,C22/C V04/O C33/M C16/P V08/O_E C29/S COMPOSITION,C22V03C33C16V04C29V02C30V04C34,C22/C V03/O C33/M C16/P V04/O C29/S V02/I C30/T V04/IO C34/N COMPOUND,C22V03C33C16V13C34C19,C22/C V03/O C33/M C16/P V13/OU C34/N C19/D COMPRISE,C22V04C33C16C38V07C29,C22/C V04/O C33/M C16/P C38/R V07/I_E C29/S COMPROMISE,C22V03C33C16C38V04C33V07C29,C22/C V03/O C33/M C16/P C38/R V04/O C33/M V07/I_E C29/S COMPUTE,C22V04C33C16C39V09C18,C22/C V04/O C33/M C16/P C39/U V09/+ C18/T CONCENTRATE,C22V03C34C28V04C34C18C38V06C18,C22/C V03/O C34/N C28/C V04/+ C34/N C18/T C38/R V06/A_E C18/T CONCENTRATION,C22V03C34C28V04C34C18C38V06C30V04C34,C22/C V03/O C34/N C28/C V04/E C34/N C18/T C38/R V06/A C30/T V04/IO C34/N CONCEPT,C22V03C34C28V05C16C18,C22/C V03/O C34/N C28/C V05/E C16/P C18/T CONCLUDE,C22V04C34C22C37V09C19,C22/C V04/O C34/N C22/C C37/L V09/U_E C19/D CONCLUSION,C22V04C34C22C37V09C31V04C34,C22/C V04/O C34/N C22/C C37/L V09/U C31/S V04/IO C34/N CONDITION,C22V04C34C19V02C30V04C34,C22/C V04/O C34/N C19/D V02/I C30/T V04/IO C34/N CONDUCT,C22V03C34C19V04C22C18,C22/C V03/O C34/N C19/D V04/U C22/C C18/T CONFIDENT,C22V03C34C24V04C19V04C34C18,C22/C V03/O C34/N C24/F V04/I C19/D V04/E C34/N C18/T CONFIRM,C22V04C34C24V15C33,C22/C V04/O C34/N C24/F V15/IR C33/M CONFLICT,C22V03C34C24C37V02C22C18,C22/C V03/O C34/N C24/F C37/L V02/I C22/C C18/T CONFUSE,C22V04C34C24C39V09C29,C22/C V04/O C34/N C24/F C39/U V09/+ C29/S CONFUSION,C22V04C34C24C39V09C31V04C34,C22/C V04/O C34/N C24/F C39/U V09/+ C31/S V04/IO C34/N CONNECT,C22V04C34V05C22C18,C22/C V04/O C34/NN V05/E C22/C C18/T CONNECTION,C22V04C34V05C22C30V04C34,C22/C V04/O C34/NN V05/E C22/C C30/T V04/IO C34/N CONSEQUENTLY,C22V03C34C28V04C22C36V04C34C18C37V10,C22/C V03/O C34/N C28/S V04/E C22/Q C36/U V04/E C34/N C18/T C37/L V10/Y CONSIST,C22V04C34C28V02C28C18,C22/C V04/O C34/N C28/S V02/I C28/S C18/T CONSISTENT,C22V04C34C28V02C28C18V04C34C18,C22/C V04/O C34/N C28/S V02/I C28/S C18/T V04/E C34/N C18/T CONSTANT,C22V03C34C28C18V04C34C18,C22/C V03/O C34/N C28/S C18/T V04/A C34/N C18/T CONSTANTLY,C22V03C34C28C18V04C34C18C37V10,C22/C V03/O C34/N C28/S C18/T V04/A C34/N C18/T C37/L V10/Y CONSTITUTE,C22V03C34C28C18V04C18V09C18,C22/C V03/O C34/N C28/S C18/T V04/I C18/T V09/U_E C18/T CONSTRAINT,C22V04C34C28C18C38V06C34C18,C22/C V04/O C34/N C28/S C18/T C38/R V06/AI C34/N C18/T CONSTRUCT,C22V04C34C28C18C38V04C22C18,C22/C V04/O C34/N C28/S C18/T C38/R V04/U C22/C C18/T CONSTRUCTION,C22V04C34C28C18C38V04C22C30V04C34,C22/C V04/O C34/N C28/S C18/T C38/R V04/U C22/C C30/T V04/IO C34/N CONSULT,C22V04C34C28V04C37C18,C22/C V04/O C34/N C28/S V04/U C37/L C18/T CONSULTANT,C22V04C34C28V04C37C18V04C34C18,C22/C V04/O C34/N C28/S V04/U C37/L C18/T V04/A C34/N C18/T CONSUME,C22V04C34C28V09C33,C22/C V04/O C34/N C28/S V09/U_E C33/M CONTACT,C22V03C34C18V01C22C18,C22/C V03/O C34/N C18/T V01/A C22/C C18/T CONTAIN,C22V04C34C18V06C34,C22/C V04/O C34/N C18/T V06/AI C34/N CONTEMPORARY,C22V04C34C18V05C33C16V15V05C38V10,C22/C V04/O C34/N C18/T V05/E C33/M C16/P V15/OR V05/A C38/R V10/Y CONTENT,C22V03C34C18V05C34C18,C22/C V03/O C34/N C18/T V05/E C34/N C18/T CONTEST,C22V03C34C18V05C28C18,C22/C V03/O C34/N C18/T V05/E C28/S C18/T CONTEXT,C22V03C34C18V05C22C28C18,C22/C V03/O C34/N C18/T V05/E C22/X C28/+ C18/T CONTINUOUS,C22V04C34C18V02C34C39V09V04C28,C22/C V04/O C34/N C18/T V02/I C34/N C39/U V09/+ V04/OU C28/S CONTRACT,C22V03C34C18C38V01C22C18,C22/C V03/O C34/N C18/T C38/R V01/A C22/C C18/T CONTRAST,C22V03C34C18C38V01C28C18,C22/C V03/O C34/N C18/T C38/R V01/A C28/S C18/T CONTRIBUTE,C22V04C34C18C38V02C17C39V09C18,C22/C V04/O C34/N C18/T C38/R V02/I C17/B C39/U V09/+ C18/T CONTRIBUTION,C22V03C34C18C38V04C17C39V09C30V04C34,C22/C V03/O C34/N C18/T C38/R V04/I C17/B C39/U V09/+ C30/T V04/IO C34/N CONTROL,C22V04C34C18C38V08C37,C22/C V04/O C34/N C18/T C38/R V08/O C37/L CONVENTION,C22V04C34C25V05C34C30V04C34,C22/C V04/O C34/N C25/V V05/E C34/N C30/T V04/IO C34/N CONVENTIONAL,C22V04C34C25V05C34C30V04C34V04C37,C22/C V04/O C34/N C25/V V05/E C34/N C30/T V04/IO C34/N V04/A C37/L CONVINCE,C22V04C34C25V02C34C28,C22/C V04/O C34/N C25/V V02/I_E C34/N C28/C COOK,C22V12C22,C22/C V12/OO C22/K COOL,C22V09C37,C22/C V09/OO C37/L COPE,C22V08C16,C22/C V08/O_E C16/P COPY,C22V03C16V10,C22/C V03/O C16/P V10/Y CORE,C22V11C38,C22/C V11/O_E C38/R CORPORATE,C22V11C38C16V15V04C18,C22/C V11/O C38/R C16/P V15/OR V04/A_E C18/T CORPORATION,C22V11C38C16V15V06C30V04C34,C22/C V11/O C38/R C16/P V15/OR V06/A C30/T V04/IO C34/N CORRECT,C22V15V05C22C18,C22/C V15/ORR V05/E C22/C C18/T CORRESPOND,C22V11C38V04C28C16V03C34C19,C22/C V11/O C38/RR V04/E C28/S C16/P V03/O C34/N C19/D COST,C22V03C28C18,C22/C V03/O C28/S C18/T COUGH,C22V03C24,C22/C V03/OU C24/GH COULD,C22V12C19,C22/C V12/OU C19/LD COUNCIL,C22V13C34C28V04C37,C22/C V13/OU C34/N C28/C V04/I C37/L COUNSEL,C22V13C34C28V04C37,C22/C V13/OU C34/N C28/S V04/E C37/L COUNT,C22V13C34C18,C22/C V13/OU C34/N C18/T COUNTRY,C22V04C34C18C38V10,C22/C V04/OU C34/N C18/T C38/R V10/Y COUNTY,C22V13C34C18V10,C22/C V13/OU C34/N C18/T V10/Y COUPLE,C22V04C16V04C37,C22/C V04/OU C16/P V04/~ C37/L~ COURSE,C22V11C38C28,C22/C V11/OU_E C38/R C28/S COURT,C22V11C38C18,C22/C V11/OU C38/R C18/T COUSIN,C22V04C29V04C34,C22/C V04/OU C29/S V04/I C34/N COW,C22V13,C22/C V13/OW CRACK,C22C38V01C22,C22/C C38/R V01/A C22/CK CRAFT,C22C38V01C24C18,C22/C C38/R V01/A C24/F C18/T CRASH,C22C38V01C30,C22/C C38/R V01/A C30/SH CRAZY,C22C38V06C29V10,C22/C C38/R V06/A C29/Z V10/Y CREAM,C22C38V10C33,C22/C C38/R V10/EA C33/M CREATION,C22C38V10V06C30V04C34,C22/C C38/R V10/E V06/A C30/T V04/IO C34/N CREDIT,C22C38V05C19V04C18,C22/C C38/R V05/E C19/D V04/I C18/T CRIME,C22C38V07C33,C22/C C38/R V07/I_E C33/M CRIMINAL,C22C38V02C33V04C34V04C37,C22/C C38/R V02/I C33/M V04/I C34/N V04/A C37/L CRISIS,C22C38V07C28V04C28,C22/C C38/R V07/I C28/S V04/I C28/S CRITERION,C22C38V07C18V02C38V10V04C34,C22/C C38/R V07/I C18/T V02/E C38/R V10/I V04/O C34/N CRITIC,C22C38V02C18V02C22,C22/C C38/R V02/I C18/T V02/I C22/C CRITICAL,C22C38V02C18V02C22V04C37,C22/C C38/R V02/I C18/T V02/I C22/C V04/A C37/L CRITICISM,C22C38V02C18V02C28V02C29V04C33,C22/C C38/R V02/I C18/T V02/I C28/C V02/I C29/S V04/+ C33/M CRITICIZE,C22C38V02C18V02C28V07C29,C22/C C38/R V02/I C18/T V02/I C28/C V07/I_E C29/Z CROP,C22C38V03C16,C22/C C38/R V03/O C16/P CROSS,C22C38V11C28,C22/C C38/R V11/O C28/SS CROWD,C22C38V13C19,C22/C C38/R V13/OW C19/D CRUCIAL,C22C38V09C30V04C37,C22/C C38/R V09/U C30/C V04/IA C37/L CRY,C22C38V07,C22/C C38/R V07/Y CULTURE,C22V04C37C20V15,C22/C V04/U C37/L C20/T V15/UR_E CUP,C22V04C16,C22/C V04/U C16/P CURIOUS,C22C39V12C38V10V04C28,C22/C C39/U V12/+ C38/R V10/I V04/OU C28/S CURTAIN,C22V15C18V04C34,C22/C V15/UR C18/T V04/AI C34/N CURVE,C22V15C25,C22/C V15/UR_E C25/V CUSTOM,C22V04C28C18V04C33,C22/C V04/U C28/S C18/T V04/O C33/M CUT,C22V04C18,C22/C V04/U C18/T CYCLE,C28V07C22V04C37,C28/C V07/Y C22/C V04/~ C37/L~ """ for item in data.split("\n"): items = item.split(',') if len(items) == 3: new_word = Word(word=items[0], phonemestring=items[1], phonemes=items[2]) new_word.put() return "Data Added" @app.route('/add1') def add1(): """Add some data""" data = """DAD,C19V01C19,C19/D V01/A C19/D DAILY,C19V06C37V10,C19/D V06/AI C37/L V10/Y DAMAGE,C19V01C33V04C21,C19/D V01/A C33/M V04/A_E C21/G DAMN,C19V01C33,C19/D V01/A C33/MN DANCE,C19V01C34C28,C19/D V01/A_E C34/N C28/C DARE,C19V05C38,C19/D V05/A_E C38/R DARK,C19V03C38C22,C19/D V03/A C38/R C22/K DARKNESS,C19V03C38C22C34V04C28,C19/D V03/A C38/R C22/K C34/N V04/E C28/SS DATA,C19V06C18V04,C19/D V06/A C18/T V04/A DATE,C19V06C18,C19/D V06/A_E C18/T DAY,C19V06,C19/D V06/AY DEAD,C19V05C19,C19/D V05/EA C19/D DEAL,C19V10C37,C19/D V10/EA C37/L DEAR,C19V02C38,C19/D V02/EA C38/R DEATH,C19V05C26,C19/D V05/EA C26/TH DEBT,C19V05C18,C19/D V05/E C18/BT DECISION,C19V02C28V02C31V04C34,C19/D V02/E C28/C V02/I C31/S V04/IO C34/N DEEP,C19V10C16,C19/D V10/E_E C16/P DEEPLY,C19V10C16C37V10,C19/D V10/E_E C16/P C37/L V10/Y DEFEND,C19V02C24V05C34C19,C19/D V02/E C24/F V05/E C34/N C19/D DEFICIT,C19V05C24V04C28V04C18,C19/D V05/E C24/F V04/I C28/C V04/I C18/T DEFINITION,C19V05C24V04C34V02C30V04C34,C19/D V05/E C24/F V04/I C34/N V02/I C30/T V04/IO C34/N DELAY,C19V02C37V06,C19/D V02/E C37/L V06/AY DELIGHT,C19V02C37V07C18,C19/D V02/E C37/L V07/IGH C18/T DEMAND,C19V02C33V01C34C19,C19/D V02/E C33/M V01/A C34/N C19/D DEMOCRACY,C19V02C33V03C22C38V04C28V10,C19/D V02/E C33/M V03/O C22/C C38/R V04/A C28/C V10/Y DEMOCRATIC,C19V05C33V04C22C38V01C18V02C22,C19/D V05/E C33/M V04/O C22/C C38/R V01/A C18/T V02/I C22/C DEMONSTRATION,C19V05C33V04C34C28C18C38V06C30V04C34,C19/D V05/E C33/M V04/O C34/N C28/S C18/T C38/R V06/A C30/T V04/IO C34/N DENSITY,C19V05C34C28V04C18V10,C19/D V05/E C34/N C28/S V04/I C18/T V10/Y DENY,C19V02C34V07,C19/D V02/E C34/N V07/Y DEPARTMENT,C19V02C16V03C38C18C33V04C34C18,C19/D V02/E C16/P V03/A C38/R C18/T C33/M V04/E C34/N C18/T DEPEND,C19V02C16V05C34C19,C19/D V02/E C16/P V05/E C34/N C19/D DEPENDENT,C19V02C16V05C34C19V04C34C18,C19/D V02/E C16/P V05/E C34/N C19/D V04/E C34/N C18/T DEPOSIT,C19V04C16V03C29V02C18,C19/D V04/E C16/P V03/O C29/S V02/I C18/T DEPRESS,C19V02C16C38V05C28,C19/D V02/E C16/P C38/R V05/E C28/SS DEPRESSION,C19V02C16C38V05C30V04C34,C19/D V02/E C16/P C38/R V05/E C30/SS V04/IO C34/N DEPTH,C19V05C16C26,C19/D V05/E C16/P C26/TH DESCRIPTION,C19V02C28C22C38V02C16C30V04C34,C19/D V02/E C28/S C22/C C38/R V02/I C16/P C30/T V04/IO C34/N DESIGN,C19V02C29V07C34,C19/D V02/E C29/S V07/I C34/GN DESK,C19V05C28C22,C19/D V05/E C28/S C22/K DESTROY,C19V02C28C18C38V14,C19/D V02/E C28/S C18/T C38/R V14/OY DESTRUCTION,C19V02C28C18C38V04C22C30V04C34,C19/D V02/E C28/S C18/T C38/R V04/U C22/C C30/T V04/IO C34/N DETAIL,C19V02C18V06C37,C19/D V02/E C18/T V06/AI C37/L DETECT,C19V02C18V05C22C18,C19/D V02/E C18/T V05/E C22/C C18/T DEVELOP,C19V02C25V05C37V04C16,C19/D V02/E C25/V V05/E C37/L V04/O C16/P DEVELOPMENT,C19V02C25V05C37V04C16C33V04C34C18,C19/D V02/E C25/V V05/E C37/L V04/O C16/P C33/M V04/E C34/N C18/T DIALOG,C19V07V04C37V11C23,C19/D V07/I V04/A C37/L V11/O C23/G DIE,C19V07,C19/D V07/I_E DIET,C19V07V04C18,C19/D V07/I V04/E C18/T DIFFER,C19V02C24V15,C19/D V02/I C24/FF V15/ER DIFFERENCE,C19V02C24V15V04C34C28,C19/D V02/I C24/FF V15/RE V04/+ C34/N C28/C DIFFERENT,C19V02C24V15V04C34C18,C19/D V02/I C24/FF V15/ER V04/E C34/N C18/T DIFFERENTLY,C19V02C24C38V04C34C18C37V10,C19/D V02/I_E C24/FF C38/R V04/+ C34/N C18/T C37/L V10/Y DIFFICULT,C19V02C24V04C22V04C37C18,C19/D V02/I C24/FF V04/I C22/C V04/U C37/L C18/T DIFFICULTY,C19V02C24V04C22V04C37C18V10,C19/D V02/I C24/FF V04/I C22/C V04/U C37/L C18/T V10/Y DIG,C19V02C23,C19/D V02/I C23/G DIGITAL,C19V02C21V04C18V04C37,C19/D V02/I C21/G V04/I C18/T V04/A C37/L DIMENSION,C19V02C33V05C34C30V04C34,C19/D V02/I C33/M V05/E C34/N C30/S V04/IO C34/N DINNER,C19V02C34V15,C19/D V02/I C34/NN V15/ER DIRECT,C19V15V05C22C18,C19/D V15/IR V05/E C22/C C18/T DIRECTION,C19V15V05C22C30V04C34,C19/D V15/IR V05/E C22/C C30/T V04/IO C34/N DIRECTLY,C19V15V05C22C18C37V10,C19/D V15/IR V05/E C22/C C18/T C37/L V10/Y DIRECTOR,C19V15V05C22C18V15,C19/D V15/IR V05/E C22/C C18/T V15/OR DIRTY,C19V15C18V10,C19/D V15/IR C18/T V10/Y DISAGREE,C19V02C28V04C23C38V10,C19/D V02/I C28/S V04/A C23/G C38/R V10/E_E DISAPPEAR,C19V02C28V04C16V02C38,C19/D V02/I C28/S V04/A C16/PP V02/EA C38/R DISAPPOINT,C19V02C28V04C16V14C34C18,C19/D V02/I C28/S V04/A C16/PP V14/OI C34/N C18/T DISCIPLINE,C19V02C28V04C16C37V04C34,C19/D V02/I C28/SC V04/I C16/P C37/L V04/I_E C34/N DISCOUNT,C19V02C28C22V13C34C18,C19/D V02/I C28/S C22/C V13/OU C34/N C18/T DISCUSS,C19V02C28C22V04C28,C19/D V02/I C28/S C22/C V04/U C28/SS DISCUSSION,C19V02C28C22V04C30V04C34,C19/D V02/I C28/S C22/C V04/U C30/SS V04/IO C34/N DISH,C19V02C30,C19/D V02/I C30/SH DISK,C19V02C28C22,C19/D V02/I C28/S C22/K DISMISS,C19V02C28C33V02C28,C19/D V02/I C28/S C33/M V02/I C28/SS DISPLAY,C19V02C28C16C37V06,C19/D V02/I C28/S C16/P C37/L V06/AY DISPUTE,C19V02C28C16C39V09C18,C19/D V02/I C28/S C16/P C39/U V09/+ C18/T DISTANCE,C19V02C28C18V04C34C28,C19/D V02/I C28/S C18/T V04/A_E C34/N C28/C DISTANT,C19V02C28C18V04C34C18,C19/D V02/I C28/S C18/T V04/A C34/N C18/T DISTINCT,C19V02C28C18V02C35C22C18,C19/D V02/I C28/S C18/T V02/I C35/N C22/C C18/T DISTINCTION,C19V02C28C18V02C35C22C30V04C34,C19/D V02/I C28/S C18/T V02/I C35/N C22/C C30/T V04/IO C34/N DISTINGUISH,C19V02C28C18V02C35C23C36V02C30,C19/D V02/I C28/S C18/T V02/I C35/N C23/G C36/U V02/I C30/SH DISTRIBUTE,C19V02C28C18C38V02C17C39V09C18,C19/D V02/I C28/S C18/T C38/R V02/I C17/B C39/U V09/+ C18/T DISTRICT,C19V02C28C18C38V02C22C18,C19/D V02/I C28/S C18/T C38/R V02/I C22/C C18/T DISTURB,C19V02C28C18V15C17,C19/D V02/I C28/S C18/T V15/UR C17/B DIVIDE,C19V02C25V07C19,C19/D V02/I C25/V V07/I_E C19/D DIVISION,C19V02C25V02C31V04C34,C19/D V02/I C25/V V02/I C31/S V04/IO C34/N DIVORCE,C19V02C25V11C38C28,C19/D V02/I C25/V V11/O_E C38/R C28/C DOCTOR,C19V03C22C18V15,C19/D V03/O C22/C C18/T V15/OR DOCUMENT,C19V03C22C39V04C33V05C34C18,C19/D V03/O C22/C C39/U V04/+ C33/M V05/E C34/N C18/T DOG,C19V11C23,C19/D V11/O C23/G DOLLAR,C19V03C37V15,C19/D V03/O C37/LL V15/AR DOMESTIC,C19V04C33V05C28C18V02C22,C19/D V04/O C33/M V05/E C28/S C18/T V02/I C22/C DOMINATE,C19V03C33V04C34V06C18,C19/D V03/O C33/M V04/I C34/N V06/A_E C18/T DOOR,C19V11C38,C19/D V11/OO C38/R DOUBLE,C19V04C17V04C37,C19/D V04/OU C17/B V04/~ C37/L~ DOUBT,C19V13C18,C19/D V13/OUB C18/T DOWN,C19V13C34,C19/D V13/OW C34/N DOZEN,C19V04C29V04C34,C19/D V04/O C29/Z V04/E C34/N DRAFT,C19C38V01C24C18,C19/D C38/R V01/A C24/F C18/T DRAG,C19C38V01C23,C19/D C38/R V01/A C23/G DRAMA,C19C38V03C33V04,C19/D C38/R V03/A C33/M V04/A DRAMATIC,C19C38V04C33V01C18V02C22,C19/D C38/R V04/A C33/M V01/A C18/T V02/I C22/C DRAMATICALLY,C19C38V04C33V01C18V02C22C37V10,C19/D C38/R V04/A C33/M V01/A C18/T V02/I C22/C C37/ALL V10/Y DRAW,C19C38V11,C19/D C38/R V11/AW DREAM,C19C38V10C33,C19/D C38/R V10/EA C33/M DRESS,C19C38V05C28,C19/D C38/R V05/E C28/SS DRINK,C19C38V02C35C22,C19/D C38/R V02/I C35/N C22/K DRIVE,C19C38V07C25,C19/D C38/R V07/I_E C25/V DROP,C19C38V03C16,C19/D C38/R V03/O C16/P DRUG,C19C38V04C23,C19/D C38/R V04/U C23/G DRY,C19C38V07,C19/D C38/R V07/Y DUE,C19V09,C19/D V09/U_E DURING,C19V12C38V02C35,C19/D V12/U C38/R V02/I C35/NG DUST,C19V04C28C18,C19/D V04/U C28/S C18/T DUTY,C19V09C18V10,C19/D V09/U C18/T V10/Y ECONOMIC,V05C22V04C34V03C33V02C22,V05/E C22/C V04/O C34/N V03/O C33/M V02/I C22/C ECONOMY,V02C22V03C34V04C33V10,V02/E C22/C V03/O C34/N V04/O C33/M V10/Y EDGE,V05C21,V05/E_E C21/DG EDIT,V05C19V04C18,V05/E C19/D V04/I C18/T EDITION,V04C19V02C30V04C34,V04/E C19/D V02/I C30/T V04/IO C34/N EDITOR,V05C19V04C18V15,V05/E C19/D V04/I C18/T V15/OR EDUCATE,V05C21V04C22V06C18,V05/E C21/D V04/U C22/C V06/A_E C18/T EDUCATION,V05C21V04C22V06C30V04C34,V05/E C21/D V04/U C22/C V06/A C30/T V04/IO C34/N EDUCATIONAL,V05C21V04C22V06C30V04C34V04C37,V05/E C21/D V04/U C22/C V06/A C30/T V04/IO C34/N V04/A C37/L EFFECT,V02C24V05C22C18,V02/E C24/FF V05/E C22/C C18/T EFFICIENCY,V02C24V02C30V04C34C28V10,V02/E C24/FF V02/I C30/C V04/I_E C34/N C28/C V10/Y EFFICIENT,V02C24V02C30V04C34C18,V02/E C24/FF V02/I C30/C V04/I_E C34/N C18/T EFFORT,V05C24V15C18,V05/E C24/FF V15/OR C18/T EGG,V05C23,V05/E C23/GG EITHER,V10V00C27V15,V10/E_E V00/I C27/TH V15/R ELECT,V02C37V05C22C18,V02/E C37/L V05/E C22/C C18/T ELECTION,V02C37V05C22C30V04C34,V02/E C37/L V05/E C22/C C30/T V04/IO C34/N ELECTRIC,V02C37V05C22C18C38V02C22,V02/E C37/L V05/E C22/C C18/T C38/R V02/I C22/C ELECTRICITY,V02C37V05C22C18C38V02C28V04C18V10,V02/E C37/L V05/E C22/C C18/T C38/R V02/I C28/C V04/I C18/T V10/Y ELECTRONIC,V02C37V05C22C18C38V03C34V02C22,V02/E C37/L V05/E C22/C C18/T C38/R V03/O C34/N V02/I C22/C ELEMENT,V05C37V04C33V04C34C18,V05/E C37/L V04/E C33/M V04/E C34/N C18/T ELIMINATE,V02C37V02C33V04C34V06C18,V02/E C37/L V02/I C33/M V04/I C34/N V06/A_E C18/T ELSE,V05C37C28,V05/E_E C37/L C28/S EMBARRASS,V02C33C17V05C38V04C28,V02/E C33/M C17/B V05/A C38/RR V04/A C28/SS EMBRACE,V05C33C17C38V06C28,V05/E C33/M C17/B C38/R V06/A_E C28/C EMOTION,V02C33V08C30V04C34,V02/E C33/M V08/O C30/T V04/IO C34/N EMOTIONAL,V02C33V08C30V04C34V04C37,V02/E C33/M V08/O C30/T V04/IO C34/N V04/A C37/L EMPHASIS,V05C33C24V04C28V02C28,V05/E C33/M C24/PH V04/A C28/S V02/I C28/S EMPHASIZE,V05C33C24V04C28V07C29,V05/E C33/M C24/PH V04/A C28/S V07/I_E C29/Z EMPIRE,V05C33C16V07V15,V05/E C33/M C16/P V07/I V15/R_E EMPLOY,V05C33C16C37V14,V05/E C33/M C16/P C37/L V14/OY EMPLOYEE,V05C33C16C37V14V10,V05/E C33/M C16/P C37/L V14/OY V10/E_E EMPLOYMENT,V05C33C16C37V14C33V04C34C18,V05/E C33/M C16/P C37/L V14/OY C33/M V04/E C34/N C18/T EMPTY,V05C33C16C18V10,V05/E C33/M C16/P C18/T V10/Y ENABLE,V05C34V06C17V04C37,V05/E C34/N V06/A C17/B V04/~ C37/L~ ENCOURAGE,V05C34C22V15V02C21,V05/E C34/N C22/C V15/OUR V02/A_E C21/G END,V05C34C19,V05/E C34/N C19/D ENEMY,V05C34V04C33V10,V05/E C34/N V04/E C33/M V10/Y ENGAGE,V02C34C23V06C21,V02/E C34/N C23/G V06/A_E C21/G ENGINE,V05C34C21V04C34,V05/E C34/N C21/G V04/I_E C34/N ENGINEER,V05C34C21V04C34V02C38,V05/E C34/N C21/G V04/I C34/N V02/E_E C38/R ENHANCE,V05C34C32V01C34C28,V05/E C34/N C32/H V01/A_E C34/N C28/C ENJOY,V05C34C21V14,V05/E C34/N C21/J V14/OY ENORMOUS,V02C34V11C38C33V04C28,V02/E C34/N V11/O C38/R C33/M V04/OU C28/S ENOUGH,V02C34V04C24,V02/E C34/N V04/OU C24/GH ENSURE,V05C34C30V12C38,V05/E C34/N C30/S V12/U_E C38/R ENTIRE,V02C34C18V07V15,V02/E C34/N C18/T V07/I V15/R_E ENTIRELY,V02C34C18V07V15C37V10,V02/E C34/N C18/T V07/I V15/R_E C37/L V10/Y ENTITLE,V05C34C18V07C18V04C37,V05/E C34/N C18/T V07/I C18/T V04/~ C37/L~ ENTRANCE,V05C34C18C38V04C34C28,V05/E C34/N C18/T C38/R V04/A_E C34/N C28/C ENTRY,V05C34C18C38V10,V05/E C34/N C18/T C38/R V10/Y ENVIRONMENT,V02C34C25V07C38V04C34C33V04C34C18,V02/E C34/N C25/V V07/I C38/R V04/O C34/N C33/M V04/E C34/N C18/T ENVIRONMENTAL,V02C34C25V07C38V04C34C33V05C34C18V04C37,V02/E C34/N C25/V V07/I C38/R V04/O C34/N C33/M V05/E C34/N C18/T V04/A C37/L EPISODE,V05C16V02C28V08C19,V05/E C16/P V02/I C28/S V08/O_E C19/D EQUAL,V10C22C36V04C37,V10/E C22/Q C36/U V04/A C37/L EQUALLY,V10C22C36V04C37V10,V10/E C22/Q C36/U V04/A C37/LL V10/Y EQUIPMENT,V02C22C36V02C16C33V04C34C18,V02/E C22/Q C36/U V02/I C16/P C33/M V04/E C34/N C18/T EQUIVALENT,V02C22C36V02C25V04C37V04C34C18,V02/E C22/Q C36/U V02/I C25/V V04/A C37/L V04/E C34/N C18/T ERA,V05C38V04,V05/E C38/R V04/A ERROR,V05C38V15,V05/E C38/RR V15/OR ESCAPE,V02C28C22V06C16,V02/E C28/S C22/C V06/A_E C16/P ESPECIALLY,V04C28C16V05C30V00C37V10,V04/E C28/S C16/P V05/E C30/C V00/I C37/ALL V10/Y ESSAY,V05C28V06,V05/E C28/SS V06/AY ESSENTIAL,V05C28V05C34C30V04C37,V05/E C28/SS V05/E C34/N C30/T V04/IA C37/L ESTABLISH,V02C28C18V01C17C37V02C30,V02/E C28/S C18/T V01/A C17/B C37/L V02/I C30/SH ESTABLISHMENT,V02C28C18V01C17C37V02C30C33V04C34C18,V02/E C28/S C18/T V01/A C17/B C37/L V02/I C30/SH C33/M V04/E C34/N C18/T ESTATE,V05C28C18V06C18,V05/E C28/S C18/T V06/A_E C18/T ESTIMATE,V05C28C18V04C33V04C18,V05/E C28/S C18/T V04/I C33/M V04/A_E C18/T ETHNIC,V05C26C34V02C22,V05/E C26/TH C34/N V02/I C22/C EVALUATE,V02C25V01C37C39V09V06C18,V02/E C25/V V01/A C37/L C39/U V09/+ V06/A_E C18/T EVALUATION,V02C25V01C37C39V09V06C30V04C34,V02/E C25/V V01/A C37/L C39/U V09/+ V06/A C30/T V04/IO C34/N EVEN,V10C25V02C34,V10/E C25/V V02/E C34/N EVENING,V10C25C34V02C35,V10/E_E C25/V C34/N V02/I C35/NG EVENT,V02C25V05C34C18,V02/E C25/V V05/E C34/N C18/T EVERYBODY,V05C25C38V10C17V03C19V10,V05/E_E C25/V C38/R V10/Y C17/B V03/O C19/D V10/Y EVERYDAY,V05C25C38V10C19V06,V05/E_E C25/V C38/R V10/Y C19/D V06/AY EVERYTHING,V05C25C38V10C26V02C35,V05/E_E C25/V C38/R V10/Y C26/TH V02/I C35/NG EVIDENCE,V05C25V04C19V04C34C28,V05/E C25/V V04/I C19/D V04/+ C34/N C28/C EVIL,V10C25V04C37,V10/E C25/V V04/I C37/L EVOLUTION,V05C25V04C37V09C30V04C34,V05/E C25/V V04/O C37/L V09/U C30/T V04/IO C34/N EVOLVE,V02C25V03C37C25,V02/E C25/V V03/O_E C37/L C25/V EXCHANGE,V02C22C28C20V06C34C21,V02/E C22/X C28/+ C20/CH V06/A_E C34/N C21/G EXCITE,V02C22C28V07C18,V02/E C22/X C28/+ V07/CI_E C18/T EXCITEMENT,V02C22C28V07C18C33V04C34C18,V02/E C22/X C28/+ V07/CI_E C18/T C33/M V04/+ C34/N C18/T EXCLUDE,V02C22C28C22C37V09C19,V02/E C22/X C28/+ C22/C C37/L V09/U_E C19/D EXCUSE,V02C22C28C22C39V09C28,V02/E C22/X C28/+ C22/C C39/U V09/+ C28/S EXHIBIT,V02C23C29V02C17V02C18,V02/E C23/X C29/H V02/I C17/B V02/I C18/T EXHIBITION,V05C22C28V04C17V02C30V04C34,V05/E C22/X C28/+ V04/HI C17/B V02/I C30/T V04/IO C34/N EXPAND,V02C22C28C16V01C34C19,V02/E C22/X C28/+ C16/P V01/A C34/N C19/D EXPANSION,V02C22C28C16V01C34C30V04C34,V02/E C22/X C28/+ C16/P V01/A C34/N C30/S V04/IO C34/N EXPECT,V02C22C28C16V05C22C18,V02/E C22/X C28/+ C16/P V05/E C22/C C18/T EXPECTATION,V05C22C28C16V05C22C18V06C30V04C34,V05/E C22/X C28/+ C16/P V05/E C22/C C18/T V06/A C30/T V04/IO C34/N EXPERIMENT,V02C22C28C16V05C38V04C33V04C34C18,V02/E C22/X C28/+ C16/P V05/E C38/R V04/I C33/M V04/E C34/N C18/T EXPERIMENTAL,V02C22C28C16V05C38V02C33V05C34C18V04C37,V02/E C22/X C28/+ C16/P V05/E C38/R V02/I C33/M V05/E C34/N C18/T V04/A C37/L EXPLAIN,V02C22C28C16C37V06C34,V02/E C22/X C28/+ C16/P C37/L V06/AI C34/N EXPLANATION,V05C22C28C16C37V04C34V06C30V04C34,V05/E C22/X C28/+ C16/P C37/L V04/A C34/N V06/A C30/T V04/IO C34/N EXPLORE,V02C22C28C16C37V11C38,V02/E C22/X C28/+ C16/P C37/L V11/O_E C38/R EXPORT,V05C22C28C16V11C38C18,V05/E C22/X C28/+ C16/P V11/O C38/R C18/T EXPOSE,V02C22C28C16V08C29,V02/E C22/X C28/+ C16/P V08/O_E C29/S EXPOSURE,V02C22C28C16V08C31V15,V02/E C22/X C28/+ C16/P V08/O C31/S V15/UR_E EXPRESS,V02C22C28C16C38V05C28,V02/E C22/X C28/+ C16/P C38/R V05/E C28/SS EXPRESSION,V02C22C28C16C38V05C30V04C34,V02/E C22/X C28/+ C16/P C38/R V05/E C30/SS V04/IO C34/N EXTEND,V02C22C28C18V05C34C19,V02/E C22/X C28/+ C18/T V05/E C34/N C19/D EXTENSION,V02C22C28C18V05C34C30V04C34,V02/E C22/X C28/+ C18/T V05/E C34/N C30/S V04/IO C34/N EXTENT,V02C22C28C18V05C34C18,V02/E C22/X C28/+ C18/T V05/E C34/N C18/T EXTRA,V05C22C28C18C38V04,V05/E C22/X C28/+ C18/T C38/R V04/A EXTRACT,V05C22C28C18C38V01C22C18,V05/E C22/X C28/+ C18/T C38/R V01/A C22/C C18/T EXTRAORDINARY,V05C22C28C18C38V04V11C38C19V04C34V05C38V10,V05/E C22/X C28/+ C18/T C38/R V04/A V11/O C38/R C19/D V04/I C34/N V05/A C38/R V10/Y FACE,C24V06C28,C24/F V06/A_E C28/C FACILITY,C24V04C28V02C37V02C18V10,C24/F V04/A C28/C V02/I C37/L V02/I C18/T V10/Y FACT,C24V01C22C18,C24/F V01/A C22/C C18/T FACTOR,C24V01C22C18V15,C24/F V01/A C22/C C18/T V15/OR FACTORY,C24V01C22C18V15V10,C24/F V01/A C22/C C18/T V15/OR V10/Y FADE,C24V06C19,C24/F V06/A_E C19/D FAIL,C24V06C37,C24/F V06/AI C37/L FAILURE,C24V06C37C39V15,C24/F V06/AI C37/L C39/U V15/R_E FAIR,C24V05C38,C24/F V05/AI C38/R FAIRLY,C24V05C38C37V10,C24/F V05/AI C38/R C37/L V10/Y FAITH,C24V06C26,C24/F V06/AI C26/TH FAITHFULLY,C24V06C26C24V04C37V10,C24/F V06/AI C26/TH C24/F V04/U C37/LL V10/Y FALL,C24V11C37,C24/F V11/A C37/LL FALSE,C24V11C37C28,C24/F V11/A_E C37/L C28/S FAMILIAR,C24V04C33V02C37C39V15,C24/F V04/A C33/M V02/I C37/L C39/I V15/AR FAMILY,C24V01C33V04C37V10,C24/F V01/A C33/M V04/I C37/L V10/Y FAMOUS,C24V06C33V04C28,C24/F V06/A C33/M V04/OU C28/S FAN,C24V01C34,C24/F V01/A C34/N FANCY,C24V01C34C28V10,C24/F V01/A C34/N C28/C V10/Y FANTASTIC,C24V01C34C18V01C28C18V02C22,C24/F V01/A C34/N C18/T V01/A C28/S C18/T V02/I C22/C FAR,C24V03C38,C24/F V03/A C38/R FARM,C24V03C38C33,C24/F V03/A C38/R C33/M FASCINATE,C24V01C28V04C34V06C18,C24/F V01/A C28/SC V04/I C34/N V06/A_E C18/T FASHION,C24V01C30V04C34,C24/F V01/A C30/SH V04/IO C34/N FAST,C24V01C28C18,C24/F V01/A C28/S C18/T FAT,C24V01C18,C24/F V01/A C18/T FAULT,C24V11C37C18,C24/F V11/AU C37/L C18/T FAVOR,C24V06C25V15,C24/F V06/A C25/V V15/OR FAVORITE,C24V06C25V15V02C18,C24/F V06/A C25/V V15/OR V02/I_E C18/T FEAR,C24V02C38,C24/F V02/EA C38/R FEE,C24V10,C24/F V10/E_E FEED,C24V10C19,C24/F V10/E_E C19/D FEEL,C24V10C37,C24/F V10/E_E C37/L FELLOW,C24V05C37V08,C24/F V05/E C37/LL V08/OW FESTIVAL,C24V05C28C18V04C25V04C37,C24/F V05/E C28/S C18/T V04/I C25/V V04/A C37/L FICTION,C24V02C22C30V04C34,C24/F V02/I C22/C C30/T V04/IO C34/N FIELD,C24V10C37C19,C24/F V10/I_E C37/L C19/D FIFTEEN,C24V02C24C18V10C34,C24/F V02/I C24/F C18/T V10/E_E C34/N FIFTY,C24V02C24C18V10,C24/F V02/I C24/F C18/T V10/Y FIGHT,C24V07C18,C24/F V07/IGH C18/T FIGURE,C24V02C23C39V15,C24/F V02/I C23/G C39/U V15/R_E FILE,C24V07C37,C24/F V07/I_E C37/L FILL,C24V02C37,C24/F V02/I C37/LL FILM,C24V02C37C33,C24/F V02/I C37/L C33/M FINAL,C24V07C34V04C37,C24/F V07/I C34/N V04/A C37/L FINALLY,C24V07C34V04C37V10,C24/F V07/I C34/N V04/A C37/LL V10/Y FINANCE,C24V04C34V01C34C28,C24/F V04/I C34/N V01/A_E C34/N C28/C FINANCIAL,C24V04C34V01C34C30V04C37,C24/F V04/I C34/N V01/A C34/N C30/C V04/IA C37/L FIND,C24V07C34C19,C24/F V07/I C34/N C19/D FINE,C24V07C34,C24/F V07/I_E C34/N FINISH,C24V02C34V02C30,C24/F V02/I C34/N V02/I C30/SH FIRE,C24V07V15,C24/F V07/I V15/R_E FIRM,C24V15C33,C24/F V15/IR C33/M FIRMLY,C24V15C33C37V10,C24/F V15/IR C33/M C37/L V10/Y FIRST,C24V15C28C18,C24/F V15/IR C28/S C18/T FIRSTLY,C24V15C28C18C37V10,C24/F V15/IR C28/S C18/T C37/L V10/Y FISH,C24V02C30,C24/F V02/I C30/SH FIT,C24V02C18,C24/F V02/I C18/T FIX,C24V02C22C28,C24/F V02/I C22/X C28/+ FLAG,C24C37V01C23,C24/F C37/L V01/A C23/G FLASH,C24C37V01C30,C24/F C37/L V01/A C30/SH FLAT,C24C37V01C18,C24/F C37/L V01/A C18/T FLEXIBLE,C24C37V05C22C28V04C17V04C37,C24/F C37/L V05/E C22/X C28/+ V04/I C17/B V04/~ C37/L~ FLIGHT,C24C37V07C18,C24/F C37/L V07/IGH C18/T FLOAT,C24C37V08C18,C24/F C37/L V08/OA C18/T FLOOD,C24C37V04C19,C24/F C37/L V04/OO C19/D FLOOR,C24C37V11C38,C24/F C37/L V11/OO C38/R FLOW,C24C37V08,C24/F C37/L V08/OW FLY,C24C37V07,C24/F C37/L V07/Y FOCUS,C24V08C22V04C28,C24/F V08/O C22/C V04/U C28/S FOLD,C24V08C37C19,C24/F V08/O C37/L C19/D FOLK,C24V08C22,C24/F V08/O C22/LK FOLLOW,C24V03C37V08,C24/F V03/O C37/LL V08/OW FOOD,C24V09C19,C24/F V09/OO C19/D FOOL,C24V09C37,C24/F V09/OO C37/L FOOT,C24V12C18,C24/F V12/OO C18/T FOOTBALL,C24V12C18C17V11C37,C24/F V12/OO C18/T C17/B V11/A C37/LL FOR,C24V11C38,C24/F V11/O C38/R FORCE,C24V11C38C28,C24/F V11/O_E C38/R C28/C FORECAST,C24V11C38C22V01C28C18,C24/F V11/O_E C38/R C22/C V01/A C28/S C18/T FOREIGN,C24V11C38V04C34,C24/F V11/O_E C38/R V04/I C34/GN FOREST,C24V11C38V04C28C18,C24/F V11/O C38/R V04/E C28/S C18/T FORGET,C24V15C23V05C18,C24/F V15/OR C23/G V05/E C18/T FORM,C24V11C38C33,C24/F V11/O C38/R C33/M FORMAL,C24V11C38C33V04C37,C24/F V11/O C38/R C33/M V04/A C37/L FORMAT,C24V11C38C33V01C18,C24/F V11/O C38/R C33/M V01/A C18/T FORMATION,C24V11C38C33V06C30V04C34,C24/F V11/O C38/R C33/M V06/A C30/T V04/IO C34/N FORMULA,C24V11C38C33C39V04C37V04,C24/F V11/O C38/R C33/M C39/U V04/+ C37/L V04/A FORTH,C24V11C38C26,C24/F V11/O C38/R C26/TH FORTUNATE,C24V11C38C20V04C34V04C18,C24/F V11/O C38/R C20/T V04/U C34/N V04/A_E C18/T FORTUNE,C24V11C38C20V04C34,C24/F V11/O C38/R C20/T V04/U_E C34/N FORWARD,C24V11C38C36V15C19,C24/F V11/O C38/R C36/W V15/AR C19/D FOUND,C24V13C34C19,C24/F V13/OU C34/N C19/D FOUNDATION,C24V13C34C19V06C30V04C34,C24/F V13/OU C34/N C19/D V06/A C30/T V04/IO C34/N FRAGMENT,C24C38V01C23C33V04C34C18,C24/F C38/R V01/A C23/G C33/M V04/E C34/N C18/T FRAME,C24C38V06C33,C24/F C38/R V06/A_E C33/M FRAMEWORK,C24C38V06C33C36V15C22,C24/F C38/R V06/A_E C33/M C36/W V15/OR C22/K FREE,C24C38V10,C24/F C38/R V10/E_E FREEDOM,C24C38V10C19V04C33,C24/F C38/R V10/E_E C19/D V04/O C33/M FREEZE,C24C38V10C29,C24/F C38/R V10/E_E C29/Z FREQUENCY,C24C38V10C22C36V04C34C28V10,C24/F C38/R V10/E C22/Q C36/U V04/E C34/N C28/C V10/Y FREQUENT,C24C38V10C22C36V04C34C18,C24/F C38/R V10/E C22/Q C36/U V04/E C34/N C18/T FREQUENTLY,C24C38V10C22C36V04C34C18C37V10,C24/F C38/R V10/E C22/Q C36/U V04/E C34/N C18/T C37/L V10/Y FRESH,C24C38V05C30,C24/F C38/R V05/E C30/SH FRIEND,C24C38V05C34C19,C24/F C38/R V05/IE C34/N C19/D FRIENDLY,C24C38V05C34C19C37V10,C24/F C38/R V05/IE C34/N C19/D C37/L V10/Y FRIENDSHIP,C24C38V05C34C19C30V02C16,C24/F C38/R V05/IE C34/N C19/D C30/SH V02/I C16/P FRIGHTEN,C24C38V07C18V04C34,C24/F C38/R V07/IGH C18/T V04/E C34/N FROM,C24C38V04C33,C24/F C38/R V04/O C33/M FRONT,C24C38V04C34C18,C24/F C38/R V04/O C34/N C18/T FRUIT,C24C38V09C18,C24/F C38/R V09/UI C18/T FUEL,C24C39V09V04C37,C24/F C39/U V09/+ V04/E C37/L FULFILL,C24V12C37C24V02C37,C24/F V12/U C37/L C24/F V02/I C37/LL FULL,C24V12C37,C24/F V12/U C37/LL FULLY,C24V12C37V10,C24/F V12/U C37/LL V10/Y FUN,C24V04C34,C24/F V04/U C34/N FUNCTION,C24V04C35C22C30V04C34,C24/F V04/U C35/N C22/C C30/T V04/IO C34/N FUNCTIONAL,C24V04C35C22C30V04C34V04C37,C24/F V04/U C35/N C22/C C30/T V04/IO C34/N V04/A C37/L FUND,C24V04C34C19,C24/F V04/U C34/N C19/D FUNDAMENTAL,C24V04C34C19V04C33V05C34C18V04C37,C24/F V04/U C34/N C19/D V04/A C33/M V05/E C34/N C18/T V04/A C37/L FUNNY,C24V04C34V10,C24/F V04/U C34/NN V10/Y FURNITURE,C24V15C34V02C20V15,C24/F V15/UR C34/N V02/I C20/T V15/UR_E FUTURE,C24C39V09C20V15,C24/F C39/U V09/+ C20/T V15/UR_E GAIN,C23V06C34,C23/G V06/AI C34/N GALLERY,C23V01C37V15V10,C23/G V01/A C37/LL V15/ER V10/Y GAME,C23V06C33,C23/G V06/A_E C33/M GAP,C23V01C16,C23/G V01/A C16/P GARDEN,C23V03C38C19V04C34,C23/G V03/A C38/R C19/D V04/E C34/N GAS,C23V01C28,C23/G V01/A C28/S GATE,C23V06C18,C23/G V06/A_E C18/T GAY,C23V06,C23/G V06/AY GAZE,C23V06C29,C23/G V06/A_E C29/Z GEAR,C23V02C38,C23/G V02/EA C38/R GENETIC,C21V04C34V05C18V02C22,C21/G V04/E C34/N V05/E C18/T V02/I C22/C GENTLE,C21V05C34C18V04C37,C21/G V05/E C34/N C18/T V04/~ C37/L~ GENTLEMAN,C21V05C34C18V04C37C33V04C34,C21/G V05/E C34/N C18/T V04/~ C37/L~ C33/M V04/A C34/N GENTLY,C21V05C34C18C37V10,C21/G V05/E C34/N C18/T C37/L V10/Y GET,C23V05C18,C23/G V05/E C18/T GIANT,C21V07V04C34C18,C21/G V07/I V04/A C34/N C18/T GIFT,C23V02C24C18,C23/G V02/I C24/F C18/T GIRL,C23V15C37,C23/G V15/IR C37/L GIVE,C23V02C25,C23/G V02/I_E C25/V GLAD,C23C37V01C19,C23/G C37/L V01/A C19/D GLANCE,C23C37V01C34C28,C23/G C37/L V01/A_E C34/N C28/C GLASS,C23C37V01C28,C23/G C37/L V01/A C28/SS GLOBAL,C23C37V08C17V04C37,C23/G C37/L V08/O C17/B V04/A C37/L GOAL,C23V08C37,C23/G V08/OA C37/L GOD,C23V03C19,C23/G V03/O C19/D GOLD,C23V08C37C19,C23/G V08/O C37/L C19/D GOLDEN,C23V08C37C19V04C34,C23/G V08/O C37/L C19/D V04/E C34/N GOLF,C23V03C37C24,C23/G V03/O C37/L C24/F GOOD,C23V12C19,C23/G V12/OO C19/D GRAB,C23C38V01C17,C23/G C38/R V01/A C17/B GRADE,C23C38V06C19,C23/G C38/R V06/A_E C19/D GRADUALLY,C23C38V01C21V09V04C37V10,C23/G C38/R V01/A C21/D V09/U V04/A C37/LL V10/Y GRAIN,C23C38V06C34,C23/G C38/R V06/AI C34/N GRAMMAR,C23C38V01C33V15,C23/G C38/R V01/A C33/MM V15/AR GRAND,C23C38V01C34C19,C23/G C38/R V01/A C34/N C19/D GRANT,C23C38V01C34C18,C23/G C38/R V01/A C34/N C18/T GRASS,C23C38V01C28,C23/G C38/R V01/A C28/SS GRATEFUL,C23C38V06C18C24V04C37,C23/G C38/R V06/A_E C18/T C24/F V04/U C37/L GRAY,C23C38V06,C23/G C38/R V06/AY GREAT,C23C38V06C18,C23/G C38/R V06/EA C18/T GREATLY,C23C38V06C18C37V10,C23/G C38/R V06/EA C18/T C37/L V10/Y GREEN,C23C38V10C34,C23/G C38/R V10/E_E C34/N GREET,C23C38V10C18,C23/G C38/R V10/E_E C18/T GRIN,C23C38V02C34,C23/G C38/R V02/I C34/N GROUND,C23C38V13C34C19,C23/G C38/R V13/OU C34/N C19/D GROUP,C23C38V09C16,C23/G C38/R V09/OU C16/P GROW,C23C38V08,C23/G C38/R V08/OW GROWTH,C23C38V08C26,C23/G C38/R V08/OW C26/TH GUARD,C23V03C38C19,C23/G V03/UA C38/R C19/D GUESS,C23V05C28,C23/G V05/UE_E C28/SS GUEST,C23V05C28C18,C23/G V05/U_E C28/S C18/T GUIDE,C23V07C19,C23/G V07/UI_E C19/D GUIDELINE,C23V07C19C37V07C34,C23/G V07/UI_E C19/D C37/L V07/I C34/N GUILTY,C23V02C37C18V10,C23/G V02/UI C37/L C18/T V10/Y GUITAR,C23V02C18V03C38,C23/G V02/UI C18/T V03/A C38/R GUN,C23V04C34,C23/G V04/U C34/N GUY,C23V07,C23/G V07/UY """ for item in data.split("\n"): items = item.split(',') if len(items) == 3: new_word = Word(word=items[0], phonemestring=items[1], phonemes=items[2]) new_word.put() return "Data Added 1" @app.route('/add2') def add2(): """Add some data""" data = """HABIT,C32V01C17V04C18,C32/H V01/A C17/B V04/I C18/T HAIR,C32V05C38,C32/H V05/AI C38/R HALF,C32V01C24,C32/H V01/A C24/LF HALL,C32V11C37,C32/H V11/A C37/LL HAND,C32V01C34C19,C32/H V01/A C34/N C19/D HANDLE,C32V01C34C19V04C37,C32/H V01/A C34/N C19/D V04/~ C37/L~ HANG,C32V01C35,C32/H V01/A C35/NG HAPPEN,C32V01C16V04C34,C32/H V01/A C16/PP V04/E C34/N HAPPINESS,C32V01C16V10C34V04C28,C32/H V01/A C16/PP V10/I C34/N V04/E C28/SS HAPPY,C32V01C16V10,C32/H V01/A C16/PP V10/Y HARBOR,C32V03C38C17V15,C32/H V03/A C38/R C17/B V15/OR HARD,C32V03C38C19,C32/H V03/A C38/R C19/D HARDLY,C32V03C38C19C37V10,C32/H V03/A C38/R C19/D C37/L V10/Y HARM,C32V03C38C33,C32/H V03/A C38/R C33/M HAT,C32V01C18,C32/H V01/A C18/T HATE,C32V06C18,C32/H V06/A_E C18/T HAVE,C32V01C25,C32/H V01/A_E C25/V HEAD,C32V05C19,C32/H V05/EA C19/D HEALTH,C32V05C37C26,C32/H V05/EA C37/L C26/TH HEALTHY,C32V05C37C26V10,C32/H V05/EA C37/L C26/TH V10/Y HEAR,C32V10C38,C32/H V10/EA C38/R HEART,C32V03C38C18,C32/H V03/A_E C38/R C18/T HEAT,C32V10C18,C32/H V10/EA C18/T HEAVILY,C32V05C25V04C37V10,C32/H V05/EA C25/V V04/I C37/L V10/Y HEAVY,C32V05C25V10,C32/H V05/EA C25/V V10/Y HELL,C32V05C37,C32/H V05/E C37/LL HELLO,C32V04C37V08,C32/H V04/E C37/LL V08/O HELP,C32V05C37C16,C32/H V05/E C37/L C16/P HELPFUL,C32V05C37C16C24V04C37,C32/H V05/E C37/L C16/P C24/F V04/U C37/L HERO,C32V02C38V08,C32/H V02/E C38/R V08/O HIDE,C32V07C19,C32/H V07/I_E C19/D HIGH,C32V07,C32/H V07/IGH HIGHLY,C32V07C37V10,C32/H V07/IGH C37/L V10/Y HILL,C32V02C37,C32/H V02/I C37/LL HIM,C32V02C33,C32/H V02/I C33/M HIMSELF,C32V02C33C28V05C37C24,C32/H V02/I C33/M C28/S V05/E C37/L C24/F HINT,C32V02C34C18,C32/H V02/I C34/N C18/T HIRE,C32V07V15,C32/H V07/I V15/R_E HIS,C32V02C29,C32/H V02/I C29/S HISTORIAN,C32V02C28C18V11C38V10V04C34,C32/H V02/I C28/S C18/T V11/O C38/R V10/I V04/A C34/N HISTORIC,C32V02C28C18V11C38V02C22,C32/H V02/I C28/S C18/T V11/O C38/R V02/I C22/C HISTORICAL,C32V02C28C18V11C38V02C22V04C37,C32/H V02/I C28/S C18/T V11/O C38/R V02/I C22/C V04/A C37/L HISTORY,C32V02C28C18V15V10,C32/H V02/I C28/S C18/T V15/OR V10/Y HIT,C32V02C18,C32/H V02/I C18/T HOLD,C32V08C37C19,C32/H V08/O C37/L C19/D HOLE,C32V08C37,C32/H V08/O_E C37/L HOLIDAY,C32V03C37V04C19V06,C32/H V03/O C37/L V04/I C19/D V06/AY HOME,C32V08C33,C32/H V08/O_E C33/M HONEST,V03C34V04C28C18,V03/HO C34/N V04/E C28/S C18/T HONOR,V03C34V15,V03/HO C34/N V15/OR HOOK,C32V12C22,C32/H V12/OO C22/K HOPE,C32V08C16,C32/H V08/O_E C16/P HOPEFULLY,C32V08C16C24V04C37V10,C32/H V08/O_E C16/P C24/F V04/U C37/LL V10/Y HORRIBLE,C32V11C38V04C17V04C37,C32/H V11/O C38/RR V04/I C17/B V04/~ C37/L~ HORSE,C32V11C38C28,C32/H V11/O_E C38/R C28/S HOSPITAL,C32V03C28C16V02C18V04C37,C32/H V03/O C28/S C16/P V02/I C18/T V04/A C37/L HOST,C32V08C28C18,C32/H V08/O C28/S C18/T HOT,C32V03C18,C32/H V03/O C18/T HOTEL,C32V08C18V05C37,C32/H V08/O C18/T V05/E C37/L HOUR,V13V15,V13/HOU V15/R HOUSE,C32V13C28,C32/H V13/OU_E C28/S HOUSEHOLD,C32V13C28C32V08C37C19,C32/H V13/OU_E C28/S C32/H V08/O C37/L C19/D HOW,C32V13,C32/H V13/OW HUGE,C32C39V09C21,C32/H C39/U V09/+ C21/G HUMAN,C32C39V09C33V04C34,C32/H C39/U V09/+ C33/M V04/A C34/N HUMOR,C32C39V09C33V15,C32/H C39/U V09/+ C33/M V15/OR HUNT,C32V04C34C18,C32/H V04/U C34/N C18/T HURRY,C32V15V10,C32/H V15/URR V10/Y HURT,C32V15C18,C32/H V15/UR C18/T HUSBAND,C32V04C29C17V04C34C19,C32/H V04/U C29/S C17/B V04/A C34/N C19/D HYPOTHESIS,C32V07C16V03C26V04C28V04C28,C32/H V07/Y C16/P V03/O C26/TH V04/E C28/S V04/I C28/S ICE,V07C28,V07/I_E C28/C IDEA,V07C19V10V04,V07/I C19/D V10/E V04/A IDENTIFY,V07C19V05C34C18V04C24V07,V07/I C19/D V05/E C34/N C18/T V04/I C24/F V07/Y IDENTITY,V07C19V05C34C18V04C18V10,V07/I C19/D V05/E C34/N C18/T V04/I C18/T V10/Y IGNORE,V02C23C34V11C38,V02/I C23/G C34/N V11/O_E C38/R ILL,V02C37,V02/I C37/LL ILLEGAL,V02C37V10C23V04C37,V02/I C37/LL V10/E C23/G V04/A C37/L ILLNESS,V02C37C34V04C28,V02/I C37/LL C34/N V04/E C28/SS ILLUSTRATE,V02C37V04C28C18C38V06C18,V02/I C37/LL V04/U C28/S C18/T C38/R V06/A_E C18/T ILLUSTRATION,V02C37V04C28C18C38V06C30V04C34,V02/I C37/LL V04/U C28/S C18/T C38/R V06/A C30/T V04/IO C34/N IMAGE,V02C33V04C21,V02/I C33/M V04/A_E C21/G IMAGINATION,V02C33V01C21V04C34V06C30V04C34,V02/I C33/M V01/A C21/G V04/I C34/N V06/A C30/T V04/IO C34/N IMAGINE,V02C33V01C21V04C34,V02/I C33/M V01/A C21/G V04/I_E C34/N IMMIGRANT,V02C33V04C23C38V04C34C18,V02/I C33/MM V04/I C23/G C38/R V04/A C34/N C18/T IMPLEMENT,V02C33C16C37V04C33V04C34C18,V02/I C33/M C16/P C37/L V04/E C33/M V04/E C34/N C18/T IMPLEMENTATION,V02C33C16C37V04C33V05C34C18V06C30V04C34,V02/I C33/M C16/P C37/L V04/E C33/M V05/E C34/N C18/T V06/A C30/T V04/IO C34/N IMPLICATION,V02C33C16C37V04C22V06C30V04C34,V02/I C33/M C16/P C37/L V04/I C22/C V06/A C30/T V04/IO C34/N IMPLY,V02C33C16C37V07,V02/I C33/M C16/P C37/L V07/Y IMPORT,V02C33C16V11C38C18,V02/I C33/M C16/P V11/O C38/R C18/T IMPORTANCE,V02C33C16V11C38C18V04C34C28,V02/I C33/M C16/P V11/O C38/R C18/T V04/A_E C34/N C28/C IMPORTANT,V02C33C16V11C38C18V04C34C18,V02/I C33/M C16/P V11/O C38/R C18/T V04/A C34/N C18/T IMPOSE,V02C33C16V08C29,V02/I C33/M C16/P V08/O_E C29/S IMPOSSIBLE,V02C33C16V03C28V04C17V04C37,V02/I C33/M C16/P V03/O C28/SS V04/I C17/B V04/~ C37/L~ IMPRESS,V02C33C16C38V05C28,V02/I C33/M C16/P C38/R V05/E C28/SS IMPRESSION,V02C33C16C38V05C30V04C34,V02/I C33/M C16/P C38/R V05/E C30/SS V04/IO C34/N IMPROVE,V02C33C16C38V09C25,V02/I C33/M C16/P C38/R V09/O_E C25/V IMPROVEMENT,V02C33C16C38V09C25C33V04C34C18,V02/I C33/M C16/P C38/R V09/O_E C25/V C33/M V04/+ C34/N C18/T INCH,V02C34C20,V02/I C34/N C20/CH INCIDENT,V02C34C28V04C19V04C34C18,V02/I C34/N C28/C V04/I C19/D V04/E C34/N C18/T INCLUDE,V02C34C22C37V09C19,V02/I C34/N C22/C C37/L V09/U_E C19/D INCOME,V02C34C22V04C33,V02/I C34/N C22/C V04/O_E C33/M INCORPORATE,V02C34C22V11C38C16V15V06C18,V02/I C34/N C22/C V11/O C38/R C16/P V15/OR V06/A_E C18/T INDEED,V02C34C19V10C19,V02/I C34/N C19/D V10/E_E C19/D INDEPENDENT,V02C34C19V02C16V05C34C19V04C34C18,V02/I C34/N C19/D V02/E C16/P V05/E C34/N C19/D V04/E C34/N C18/T INDEX,V02C34C19V05C22C28,V02/I C34/N C19/D V05/E C22/X C28/+ INDICATE,V02C34C19V04C22V06C18,V02/I C34/N C19/D V04/I C22/C V06/A_E C18/T INDICATION,V02C34C19V04C22V06C30V04C34,V02/I C34/N C19/D V04/I C22/C V06/A C30/T V04/IO C34/N INDUSTRIAL,V02C34C19V04C28C18C38V10V04C37,V02/I C34/N C19/D V04/U C28/S C18/T C38/R V10/I V04/A C37/L INDUSTRY,V02C34C19V04C28C18C38V10,V02/I C34/N C19/D V04/U C28/S C18/T C38/R V10/Y INFANT,V02C34C24V04C34C18,V02/I C34/N C24/F V04/A C34/N C18/T INFECTION,V02C34C24V05C22C30V04C34,V02/I C34/N C24/F V05/E C22/C C30/T V04/IO C34/N INFLATION,V02C34C24C37V06C30V04C34,V02/I C34/N C24/F C37/L V06/A C30/T V04/IO C34/N INFLUENCE,V02C34C24C37V09V04C34C28,V02/I C34/N C24/F C37/L V09/U V04/+ C34/N C28/C INFORM,V02C34C24V11C38C33,V02/I C34/N C24/F V11/O C38/R C33/M INFORMATION,V02C34C24V11C38C33V06C30V04C34,V02/I C34/N C24/F V11/O C38/R C33/M V06/A C30/T V04/IO C34/N INITIAL,V02C34V02C30V04C37,V02/I C34/N V02/I C30/T V04/IA C37/L INITIALLY,V02C34V02C30V04C37V10,V02/I C34/N V02/I C30/T V04/IA C37/LL V10/Y INITIATIVE,V02C34V02C30V04C18V02C25,V02/I C34/N V02/I C30/T V04/IA C18/T V02/I_E C25/V INJURE,V02C34C21V15,V02/I C34/N C21/J V15/UR_E INJURY,V02C34C21V15V10,V02/I C34/N C21/J V15/UR V10/Y INNER,V02C34V15,V02/I C34/NN V15/ER INNOCENT,V02C34V04C28V04C34C18,V02/I C34/NN V04/O C28/C V04/E C34/N C18/T INNOVATION,V02C34V04C25V06C30V04C34,V02/I C34/NN V04/O C25/V V06/A C30/T V04/IO C34/N INPUT,V02C34C16V12C18,V02/I C34/N C16/P V12/U C18/T INQUIRY,V02C34C22C36V07C38V10,V02/I C34/N C22/Q C36/U V07/I C38/R V10/Y INSIDE,V02C34C28V07C19,V02/I C34/N C28/S V07/I_E C19/D INSIGHT,V02C34C28V07C18,V02/I C34/N C28/S V07/IGH C18/T INSIST,V02C34C28V02C28C18,V02/I C34/N C28/S V02/I C28/S C18/T INSPIRE,V02C34C28C16V07C38,V02/I C34/N C28/S C16/P V07/I_E C38/R INSTALL,V02C34C28C18V11C37,V02/I C34/N C28/S C18/T V11/A C37/LL INSTANCE,V02C34C28C18V04C34C28,V02/I C34/N C28/S C18/T V04/A_E C34/N C28/C INSTEAD,V02C34C28C18V05C19,V02/I_E C34/N C28/S C18/T V05/A C19/D INSTITUTION,V02C34C28C18V02C18V09C30V04C34,V02/I C34/N C28/S C18/T V02/I C18/T V09/U C30/T V04/IO C34/N INSTITUTIONAL,V02C34C28C18V02C18V09C30V04C34V04C37,V02/I C34/N C28/S C18/T V02/I C18/T V09/U C30/T V04/IO C34/N V04/A C37/L INSTRUCTION,V02C34C28C18C38V04C22C30V04C34,V02/I C34/N C28/S C18/T C38/R V04/U C22/C C30/T V04/IO C34/N INSTRUMENT,V02C34C28C18C38V04C33V04C34C18,V02/I C34/N C28/S C18/T C38/R V04/U C33/M V04/E C34/N C18/T INSURANCE,V02C34C30V12C38V04C34C28,V02/I C34/N C30/S V12/U C38/R V04/A_E C34/N C28/C INSURE,V02C34C30V12C38,V02/I C34/N C30/S V12/U_E C38/R INTELLECTUAL,V02C34C18V04C37V05C22C20V09V04C37,V02/I C34/N C18/T V04/E C37/LL V05/E C22/C C20/T V09/U V04/A C37/L INTEND,V02C34C18V05C34C19,V02/I C34/N C18/T V05/E C34/N C19/D INTENTION,V02C34C18V05C34C20V04C34,V02/I C34/N C18/T V05/E C34/N C20/T V04/IO C34/N INTEREST,V02C34C18V04C38V05C28C18,V02/I C34/N C18/T V04/E C38/R V05/E C28/S C18/T INTERIOR,V02C34C18V02C38V10V15,V02/I C34/N C18/T V02/E C38/R V10/I V15/OR INTO,V02C34C18V09,V02/I C34/N C18/T V09/O INTRODUCE,V02C34C18C38V04C19V09C28,V02/I C34/N C18/T C38/R V04/O C19/D V09/U_E C28/C INTRODUCTION,V02C34C18C38V04C19V04C22C30V04C34,V02/I C34/N C18/T C38/R V04/O C19/D V04/U C22/C C30/T V04/IO C34/N INVENT,V02C34C25V05C34C18,V02/I C34/N C25/V V05/E C34/N C18/T INVEST,V02C34C25V05C28C18,V02/I C34/N C25/V V05/E C28/S C18/T INVESTIGATION,V02C34C25V05C28C18V04C23V06C30V04C34,V02/I C34/N C25/V V05/E C28/S C18/T V04/I C23/G V06/A C30/T V04/IO C34/N INVESTMENT,V02C34C25V05C28C18C33V04C34C18,V02/I C34/N C25/V V05/E C28/S C18/T C33/M V04/E C34/N C18/T INVESTOR,V02C34C25V05C28C18V15,V02/I C34/N C25/V V05/E C28/S C18/T V15/OR INVITATION,V02C34C25V02C18V06C30V04C34,V02/I C34/N C25/V V02/I C18/T V06/A C30/T V04/IO C34/N INVITE,V02C34C25V07C18,V02/I C34/N C25/V V07/I_E C18/T INVOLVE,V02C34C25V03C37C25,V02/I C34/N C25/V V03/O_E C37/L C25/V INVOLVEMENT,V02C34C25V03C37C25C33V04C34C18,V02/I C34/N C25/V V03/O_E C37/L C25/V C33/M V04/+ C34/N C18/T IRON,V07V15C34,V07/I V15/RO C34/N ISLAND,V07C37V04C34C19,V07/I C37/SL V04/A C34/N C19/D ISOLATE,V07C28V04C37V06C18,V07/I C28/S V04/O C37/L V06/A_E C18/T ISSUE,V02C30V09,V02/I C30/SS V09/UE ITEM,V07C18V04C33,V07/I C18/T V04/E C33/M ITS,V02C18C28,V02/I C18/T C28/S ITSELF,V02C18C28V05C37C24,V02/I C18/T C28/S V05/E C37/L C24/F JACKET,C21V01C22V04C18,C21/J V01/A C22/CK V04/E C18/T JAIL,C21V06C37,C21/J V06/AI C37/L JOB,C21V03C17,C21/J V03/O C17/B JOIN,C21V14C34,C21/J V14/OI C34/N JOINT,C21V14C34C18,C21/J V14/OI C34/N C18/T JOKE,C21V08C22,C21/J V08/O_E C22/K JOURNAL,C21V15C34V04C37,C21/J V15/OUR C34/N V04/A C37/L JOURNALIST,C21V15C34V04C37V04C28C18,C21/J V15/OUR C34/N V04/A C37/L V04/I C28/S C18/T JOURNEY,C21V15C34V10,C21/J V15/OUR_E C34/N V10/Y JOY,C21V14,C21/J V14/OY JUDGE,C21V04C21,C21/J V04/U_E C21/DG JUDGMENT,C21V04C21C33V04C34C18,C21/J V04/U C21/DG C33/M V04/E C34/N C18/T JUMP,C21V04C33C16,C21/J V04/U C33/M C16/P JURY,C21V12C38V10,C21/J V12/U C38/R V10/Y JUST,C21V04C28C18,C21/J V04/U C28/S C18/T JUSTICE,C21V04C28C18V04C28,C21/J V04/U C28/S C18/T V04/I_E C28/C JUSTIFY,C21V04C28C18V04C24V07,C21/J V04/U C28/S C18/T V04/I C24/F V07/Y KEEN,C22V10C34,C22/K V10/E_E C34/N KEEP,C22V10C16,C22/K V10/E_E C16/P KEY,C22V10,C22/K V10/EY KICK,C22V02C22,C22/K V02/I C22/CK KID,C22V02C19,C22/K V02/I C19/D KILL,C22V02C37,C22/K V02/I C37/LL KIND,C22V07C34C19,C22/K V07/I C34/N C19/D KING,C22V02C35,C22/K V02/I C35/NG KISS,C22V02C28,C22/K V02/I C28/SS KITCHEN,C22V02C20V04C34,C22/K V02/I C20/TCH V04/E C34/N KNEE,C34V10,C34/KN V10/E_E KNIFE,C34V07C24,C34/KN V07/I_E C24/F KNOCK,C34V03C22,C34/KN V03/O C22/CK KNOW,C34V08,C34/KN V08/OW LABEL,C37V06C17V04C37,C37/L V06/A C17/B V04/E C37/L LABOR,C37V06C17V15,C37/L V06/A C17/B V15/OR LABORATORY,C37V01C17V00C38V04C18V11C38V10,C37/L V01/A C17/B V00/O C38/R V04/A C18/T V11/O C38/R V10/Y LACK,C37V01C22,C37/L V01/A C22/CK LADY,C37V06C19V10,C37/L V06/A C19/D V10/Y LAKE,C37V06C22,C37/L V06/A_E C22/K LAND,C37V01C34C19,C37/L V01/A C34/N C19/D LANDSCAPE,C37V01C34C19C28C22V06C16,C37/L V01/A C34/N C19/D C28/S C22/C V06/A_E C16/P LANGUAGE,C37V01C35C23C36V04C21,C37/L V01/A C35/N C23/G C36/U V04/A_E C21/G LARGE,C37V03C38C21,C37/L V03/A_E C38/R C21/G LARGELY,C37V03C38C21C37V10,C37/L V03/A_E C38/R C21/G C37/L V10/Y LAST,C37V01C28C18,C37/L V01/A C28/S C18/T LATE,C37V06C18,C37/L V06/A_E C18/T LATTER,C37V01C18V15,C37/L V01/A C18/TT V15/ER LAUGH,C37V01C24,C37/L V01/AU C24/GH LAUNCH,C37V11C34C20,C37/L V11/AU C34/N C20/CH LAW,C37V11,C37/L V11/AW LAY,C37V06,C37/L V06/AY LAYER,C37V06V15,C37/L V06/AY V15/ER LAZY,C37V06C29V10,C37/L V06/A C29/Z V10/Y LEAD,C37V05C19,C37/L V05/EA C19/D LEAGUE,C37V10C23,C37/L V10/EA C23/GUE LEAN,C37V10C34,C37/L V10/EA C34/N LEAP,C37V10C16,C37/L V10/EA C16/P LEFT,C37V05C24C18,C37/L V05/E C24/F C18/T LEG,C37V05C23,C37/L V05/E C23/G LEGAL,C37V10C23V04C37,C37/L V10/E C23/G V04/A C37/L LEGISLATION,C37V05C21V04C28C37V06C30V04C34,C37/L V05/E C21/G V04/I C28/S C37/L V06/A C30/T V04/IO C34/N LEND,C37V05C34C19,C37/L V05/E C34/N C19/D LESS,C37V05C28,C37/L V05/E C28/SS LESSON,C37V05C28V04C34,C37/L V05/E C28/SS V04/O C34/N LET,C37V05C18,C37/L V05/E C18/T LETTER,C37V05C18V15,C37/L V05/E C18/TT V15/ER LEVEL,C37V05C25V04C37,C37/L V05/E C25/V V04/E C37/L LIABILITY,C37V07V04C17V02C37V02C18V10,C37/L V07/I V04/A C17/B V02/I C37/L V02/I C18/T V10/Y LIBRARY,C37V07C17C38V05C38V10,C37/L V07/I C17/B C38/R V05/A C38/R V10/Y LICENSE,C37V07C28V04C34C28,C37/L V07/I C28/C V04/+ C34/N C28/S LIE,C37V07,C37/L V07/I_E LIFE,C37V07C24,C37/L V07/I_E C24/F LIFT,C37V02C24C18,C37/L V02/I C24/F C18/T LIGHT,C37V07C18,C37/L V07/IGH C18/T LIKE,C37V07C22,C37/L V07/I_E C22/K LIKELY,C37V07C22C37V10,C37/L V07/I_E C22/K C37/L V10/Y LIMIT,C37V02C33V04C18,C37/L V02/I C33/M V04/I C18/T LIMITATION,C37V02C33V02C18V06C30V04C34,C37/L V02/I C33/M V02/I C18/T V06/A C30/T V04/IO C34/N LINE,C37V07C34,C37/L V07/I_E C34/N LINK,C37V02C35C22,C37/L V02/I C35/N C22/K LIP,C37V02C16,C37/L V02/I C16/P LIQUID,C37V02C22C36V04C19,C37/L V02/I C22/Q C36/U V04/I C19/D LIST,C37V02C28C18,C37/L V02/I C28/S C18/T LISTEN,C37V02C28V04C34,C37/L V02/I C28/ST V04/E C34/N LITTLE,C37V02C18V04C37,C37/L V02/I C18/TT V04/~ C37/L~ LIVE,C37V07C25,C37/L V07/I_E C25/V LOAD,C37V08C19,C37/L V08/OA C19/D LOAN,C37V08C34,C37/L V08/OA C34/N LOCAL,C37V08C22V04C37,C37/L V08/O C22/C V04/A C37/L LOCATE,C37V08C22V06C18,C37/L V08/O C22/C V06/A_E C18/T LOCATION,C37V08C22V06C30V04C34,C37/L V08/O C22/C V06/A C30/T V04/IO C34/N LOCK,C37V03C22,C37/L V03/O C22/CK LOG,C37V11C23,C37/L V11/O C23/G LOGIC,C37V03C21V02C22,C37/L V03/O C21/G V02/I C22/C LONG,C37V11C35,C37/L V11/O C35/NG LOOK,C37V12C22,C37/L V12/OO C22/K LOOSE,C37V09C28,C37/L V09/OO_E C28/S LOSE,C37V09C29,C37/L V09/O_E C29/S LOSS,C37V11C28,C37/L V11/O C28/SS LOT,C37V03C18,C37/L V03/O C18/T LOUD,C37V13C19,C37/L V13/OU C19/D LOVE,C37V04C25,C37/L V04/O_E C25/V LOVELY,C37V04C25C37V10,C37/L V04/O_E C25/V C37/L V10/Y LOW,C37V08,C37/L V08/OW LUCK,C37V04C22,C37/L V04/U C22/CK LUCKY,C37V04C22V10,C37/L V04/U C22/CK V10/Y LUNCH,C37V04C34C20,C37/L V04/U C34/N C20/CH MACHINE,C33V04C30V10C34,C33/M V04/A C30/CH V10/I_E C34/N MAD,C33V01C19,C33/M V01/A C19/D MAGAZINE,C33V01C23V04C29V10C34,C33/M V01/A C23/G V04/A C29/Z V10/I_E C34/N MAGIC,C33V01C21V02C22,C33/M V01/A C21/G V02/I C22/C MAIL,C33V06C37,C33/M V06/AI C37/L MAIN,C33V06C34,C33/M V06/AI C34/N MAINLY,C33V06C34C37V10,C33/M V06/AI C34/N C37/L V10/Y MAINTAIN,C33V06C34C18V06C34,C33/M V06/AI C34/N C18/T V06/AI C34/N MAINTENANCE,C33V06C34C18V04C34V04C34C28,C33/M V06/AI C34/N C18/T V04/+ C34/N V04/A_E C34/N C28/C MAJOR,C33V06C21V15,C33/M V06/A C21/J V15/OR MAJORITY,C33V04C21V11C38V04C18V10,C33/M V04/A C21/J V11/O C38/R V04/I C18/T V10/Y MAKE,C33V06C22,C33/M V06/A_E C22/K MALE,C33V06C37,C33/M V06/A_E C37/L MAN,C33V01C34,C33/M V01/A C34/N MANAGE,C33V01C34V04C21,C33/M V01/A C34/N V04/A_E C21/G MANAGEMENT,C33V01C34V04C21C33V04C34C18,C33/M V01/A C34/N V04/A_E C21/G C33/M V04/+ C34/N C18/T MANNER,C33V01C34V15,C33/M V01/A C34/NN V15/ER MANUFACTURE,C33V01C34C39V04C24V01C22C20V15,C33/M V01/A C34/N C39/U V04/+ C24/F V01/A C22/C C20/T V15/UR_E MANY,C33V05C34V10,C33/M V05/A C34/N V10/Y MAP,C33V01C16,C33/M V01/A C16/P MARCH,C33V03C38C20,C33/M V03/A C38/R C20/CH MARGIN,C33V03C38C21V04C34,C33/M V03/A C38/R C21/G V04/I C34/N MARK,C33V03C38C22,C33/M V03/A C38/R C22/K MARKET,C33V03C38C22V04C18,C33/M V03/A C38/R C22/K V04/E C18/T MARRY,C33V05C38V10,C33/M V05/A C38/RR V10/Y MASS,C33V01C28,C33/M V01/A C28/SS MASSIVE,C33V01C28V02C25,C33/M V01/A C28/SS V02/I_E C25/V MATCH,C33V01C20,C33/M V01/A C20/TCH MATE,C33V06C18,C33/M V06/A_E C18/T MATERIAL,C33V04C18V02C38V10V04C37,C33/M V04/A C18/T V02/E C38/R V10/I V04/A C37/L MATHEMATICS,C33V01C26V04C33V01C18V02C22C28,C33/M V01/A C26/TH V04/E C33/M V01/A C18/T V02/I C22/C C28/S MATTER,C33V01C18V15,C33/M V01/A C18/TT V15/ER MATURE,C33V04C20V12C38,C33/M V04/A C20/T V12/U_E C38/R MAXIMUM,C33V01C22C28V04C33V04C33,C33/M V01/A C22/X C28/+ V04/I C33/M V04/U C33/M MAY,C33V06,C33/M V06/AY MAYBE,C33V06C17V10,C33/M V06/AY C17/B V10/E MAYOR,C33V06V15,C33/M V06/AY V15/OR MEAL,C33V10C37,C33/M V10/EA C37/L MEAN,C33V10C34,C33/M V10/EA C34/N MEASURE,C33V05C31V15,C33/M V05/A C31/S V15/UR_E MEASUREMENT,C33V05C31V15C33V04C34C18,C33/M V05/A C31/S V15/UR_E C33/M V04/+ C34/N C18/T MEAT,C33V10C18,C33/M V10/EA C18/T MECHANISM,C33V05C22V04C34V02C29V04C33,C33/M V05/E C22/CH V04/A C34/N V02/I C29/S V04/+ C33/M MEDICAL,C33V05C19V04C22V04C37,C33/M V05/E C19/D V04/I C22/C V04/A C37/L MEDIUM,C33V10C19V10V04C33,C33/M V10/E C19/D V10/I V04/U C33/M MEET,C33V10C18,C33/M V10/E_E C18/T MEMORY,C33V05C33V15V10,C33/M V05/E C33/M V15/OR V10/Y MENTAL,C33V05C34C18V04C37,C33/M V05/E C34/N C18/T V04/A C37/L MENTION,C33V05C34C30V04C34,C33/M V05/E C34/N C30/T V04/IO C34/N MENU,C33V05C34C39V09,C33/M V05/E C34/N C39/U V09/+ MESS,C33V05C28,C33/M V05/E C28/SS METAL,C33V05C18V04C37,C33/M V05/E C18/T V04/A C37/L METHOD,C33V05C26V04C19,C33/M V05/E C26/TH V04/O C19/D MIDDLE,C33V02C19V04C37,C33/M V02/I C19/DD V04/~ C37/L~ MIGHT,C33V07C18,C33/M V07/IGH C18/T MILE,C33V07C37,C33/M V07/I_E C37/L MILITARY,C33V02C37V04C18V05C38V10,C33/M V02/I C37/L V04/I C18/T V05/A C38/R V10/Y MILK,C33V02C37C22,C33/M V02/I C37/L C22/K MIND,C33V07C34C19,C33/M V07/I C34/N C19/D MINE,C33V07C34,C33/M V07/I_E C34/N MINIMUM,C33V02C34V04C33V04C33,C33/M V02/I C34/N V04/I C33/M V04/U C33/M MINOR,C33V07C34V15,C33/M V07/I C34/N V15/OR MINORITY,C33V07C34V11C38V04C18V10,C33/M V07/I C34/N V11/O C38/R V04/I C18/T V10/Y MINUTE,C33V02C34V04C18,C33/M V02/I C34/N V04/U_E C18/T MIRROR,C33V02C38V15,C33/M V02/I C38/RR V15/OR MISS,C33V02C28,C33/M V02/I C28/SS MISSION,C33V02C30V04C34,C33/M V02/I C30/SS V04/IO C34/N MISTAKE,C33V02C28C18V06C22,C33/M V02/I C28/S C18/T V06/A_E C22/K MIX,C33V02C22C28,C33/M V02/I C22/X C28/+ MIXTURE,C33V02C22C28C20V15,C33/M V02/I C22/X C28/+ C20/T V15/UR_E MOBILE,C33V08C17V04C37,C33/M V08/O C17/B V04/I_E C37/L MODE,C33V08C19,C33/M V08/O_E C19/D MODEL,C33V03C19V04C37,C33/M V03/O C19/D V04/E C37/L MODIFY,C33V03C19V04C24V07,C33/M V03/O C19/D V04/I C24/F V07/Y MODULE,C33V03C21V09C37,C33/M V03/O C21/D V09/U_E C37/L MOM,C33V03C33,C33/M V03/O C33/M MOMENT,C33V08C33V04C34C18,C33/M V08/O C33/M V04/E C34/N C18/T MONEY,C33V04C34V10,C33/M V04/O_E C34/N V10/Y MONITOR,C33V03C34V04C18V15,C33/M V03/O C34/N V04/I C18/T V15/OR MONTH,C33V04C34C26,C33/M V04/O C34/N C26/TH MONTHLY,C33V04C34C26C37V10,C33/M V04/O C34/N C26/TH C37/L V10/Y MOOD,C33V09C19,C33/M V09/OO C19/D MOON,C33V09C34,C33/M V09/OO C34/N MORAL,C33V11C38V04C37,C33/M V11/O C38/R V04/A C37/L MORE,C33V11C38,C33/M V11/O_E C38/R MORNING,C33V11C38C34V02C35,C33/M V11/O C38/R C34/N V02/I C35/NG MOST,C33V08C28C18,C33/M V08/O C28/S C18/T MOSTLY,C33V08C28C18C37V10,C33/M V08/O C28/S C18/T C37/L V10/Y MOTION,C33V08C30V04C34,C33/M V08/O C30/T V04/IO C34/N MOTIVATE,C33V08C18V04C25V06C18,C33/M V08/O C18/T V04/I C25/V V06/A_E C18/T MOTIVATION,C33V08C18V04C25V06C30V04C34,C33/M V08/O C18/T V04/I C25/V V06/A C30/T V04/IO C34/N MOTOR,C33V08C18V15,C33/M V08/O C18/T V15/OR MOUNT,C33V13C34C18,C33/M V13/OU C34/N C18/T MOUNTAIN,C33V13C34C18V04C34,C33/M V13/OU C34/N C18/T V04/AI C34/N MOUSE,C33V13C28,C33/M V13/OU_E C28/S MOUTH,C33V13C26,C33/M V13/OU C26/TH MOVE,C33V09C25,C33/M V09/O_E C25/V MOVEMENT,C33V09C25C33V04C34C18,C33/M V09/O_E C25/V C33/M V04/+ C34/N C18/T MOVIE,C33V09C25V10,C33/M V09/O C25/V V10/I_E MUCH,C33V04C20,C33/M V04/U C20/CH MULTIPLE,C33V04C37C18V04C16V04C37,C33/M V04/U C37/L C18/T V04/I C16/P V04/~ C37/L~ MUSCLE,C33V04C28V04C37,C33/M V04/U C28/SC V04/~ C37/L~ MUSEUM,C33C39V09C29V10V04C33,C33/M C39/U V09/+ C29/S V10/E V04/U C33/M MUSIC,C33C39V09C29V02C22,C33/M C39/U V09/+ C29/S V02/I C22/C MUSICAL,C33C39V09C29V02C22V04C37,C33/M C39/U V09/+ C29/S V02/I C22/C V04/A C37/L MUSICIAN,C33C39V09C29V02C30V04C34,C33/M C39/U V09/+ C29/S V02/I C30/C V04/IA C34/N MUST,C33V04C28C18,C33/M V04/U C28/S C18/T MUTUAL,C33C39V09C20V09V04C37,C33/M C39/U V09/+ C20/T V09/U V04/A C37/L MYSELF,C33V07C28V05C37C24,C33/M V07/Y C28/S V05/E C37/L C24/F NAME,C34V06C33,C34/N V06/A_E C33/M NARRATIVE,C34V01C38V04C18V02C25,C34/N V01/A C38/RR V04/A C18/T V02/I_E C25/V NARROW,C34V05C38V08,C34/N V05/A C38/RR V08/OW NATION,C34V06C30V04C34,C34/N V06/A C30/T V04/IO C34/N NATIONAL,C34V01C30V04C34V04C37,C34/N V01/A C30/T V04/IO C34/N V04/A C37/L NATIVE,C34V06C18V02C25,C34/N V06/A C18/T V02/I_E C25/V NATURE,C34V06C20V15,C34/N V06/A C20/T V15/UR_E NEAR,C34V02C38,C34/N V02/EA C38/R NEARBY,C34V02C38C17V07,C34/N V02/EA C38/R C17/B V07/Y NEARLY,C34V02C38C37V10,C34/N V02/EA C38/R C37/L V10/Y NECESSARILY,C34V05C28V04C28V05C38V04C37V10,C34/N V05/E C28/C V04/E C28/SS V05/A C38/R V04/I C37/L V10/Y NECESSARY,C34V05C28V04C28V05C38V10,C34/N V05/E C28/C V04/E C28/SS V05/A C38/R V10/Y NECK,C34V05C22,C34/N V05/E C22/CK NEED,C34V10C19,C34/N V10/E_E C19/D NEGLECT,C34V04C23C37V05C22C18,C34/N V04/E C23/G C37/L V05/E C22/C C18/T NEGOTIATION,C34V02C23V08C30V10V06C30V04C34,C34/N V02/E C23/G V08/O C30/T V10/I V06/A C30/T V04/IO C34/N NET,C34V05C18,C34/N V05/E C18/T NETWORK,C34V05C18C36V15C22,C34/N V05/E C18/T C36/W V15/OR C22/K NEXT,C34V05C22C28C18,C34/N V05/E C22/X C28/+ C18/T NICE,C34V07C28,C34/N V07/I_E C28/C NIGHT,C34V07C18,C34/N V07/IGH C18/T NOBODY,C34V08C17V03C19V10,C34/N V08/O C17/B V03/O C19/D V10/Y NOISE,C34V14C29,C34/N V14/OI_E C29/S NONE,C34V04C34,C34/N V04/O_E C34/N NOR,C34V11C38,C34/N V11/O C38/R NORMAL,C34V11C38C33V04C37,C34/N V11/O C38/R C33/M V04/A C37/L NORMALLY,C34V11C38C33V04C37V10,C34/N V11/O C38/R C33/M V04/A C37/LL V10/Y NORTH,C34V11C38C26,C34/N V11/O C38/R C26/TH NOSE,C34V08C29,C34/N V08/O_E C29/S NOT,C34V03C18,C34/N V03/O C18/T NOTE,C34V08C18,C34/N V08/O_E C18/T NOTHING,C34V04C26V02C35,C34/N V04/O C26/TH V02/I C35/NG NOTICE,C34V08C18V04C28,C34/N V08/O C18/T V04/I_E C28/C NOTION,C34V08C30V04C34,C34/N V08/O C30/T V04/IO C34/N NOUN,C34V13C34,C34/N V13/OU C34/N NOVEL,C34V03C25V04C37,C34/N V03/O C25/V V04/E C37/L NOW,C34V13,C34/N V13/OW NOWADAYS,C34V13V04C19V06C29,C34/N V13/OW V04/A C19/D V06/AY C29/S NURSE,C34V15C28,C34/N V15/UR_E C28/S """ for item in data.split("\n"): items = item.split(',') if len(items) == 3: new_word = Word(word=items[0], phonemestring=items[1], phonemes=items[2]) new_word.put() return "Data Added 2" @app.route('/add3') def add3(): """Add some data""" data = """OBJECT,V03C17C21V05C22C18,V03/O C17/B C21/J V05/E C22/C C18/T OBLIGATION,V03C17C37V04C23V06C30V04C34,V03/O C17/B C37/L V04/I C23/G V06/A C30/T V04/IO C34/N OBVIOUS,V03C17C25V10V04C28,V03/O C17/B C25/V V10/I V04/OU C28/S OBVIOUSLY,V03C17C25V10V04C28C37V10,V03/O C17/B C25/V V10/I V04/OU C28/S C37/L V10/Y OCCASION,V04C22V06C31V04C34,V04/O C22/CC V06/A C31/S V04/IO C34/N OCCASIONALLY,V11C22V06C31V04C34V04C37V10,V11/O C22/CC V06/A C31/S V04/IO C34/N V04/A C37/LL V10/Y OCCUPY,V03C22C39V04C16V07,V03/O C22/CC C39/U V04/+ C16/P V07/Y OCCUR,V04C22V15,V04/O C22/CC V15/UR OCEAN,V08C30V04C34,V08/O_E C30/C V04/A C34/N ODD,V03C19,V03/O C19/DD OFF,V11C24,V11/O C24/FF OFFER,V11C24V15,V11/O C24/FF V15/ER OFFICE,V11C24V04C28,V11/O C24/FF V04/I_E C28/C OFFICIAL,V04C24V02C30V04C37,V04/O C24/FF V02/I C30/C V04/IA C37/L OFTEN,V11C24C18V04C34,V11/O C24/F C18/T V04/E C34/N OIL,V14C37,V14/OI C37/L OKAY,V08C22V06,V08/O C22/K V06/AY OLD,V08C37C19,V08/O C37/L C19/D ONLY,V08C34C37V10,V08/O C34/N C37/L V10/Y ONTO,V03C34C18V09,V03/O C34/N C18/T V09/O OPEN,V08C16V04C34,V08/O C16/P V04/E C34/N OPERA,V03C16C38V04,V03/O_E C16/P C38/R V04/A OPINION,V04C16V02C34C39V04C34,V04/O C16/P V02/I C34/N C39/I V04/O C34/N OPPONENT,V04C16V08C34V04C34C18,V04/O C16/PP V08/O C34/N V04/E C34/N C18/T OPPORTUNITY,V03C16V15C18V09C34V04C18V10,V03/O C16/PP V15/OR C18/T V09/U C34/N V04/I C18/T V10/Y OPPOSE,V04C16V08C29,V04/O C16/PP V08/O_E C29/S OPPOSITE,V03C16V04C29V02C18,V03/O C16/PP V04/O C29/S V02/I_E C18/T OPPOSITION,V03C16V04C29V02C30V04C34,V03/O C16/PP V04/O C29/S V02/I C30/T V04/IO C34/N OPTION,V03C16C30V04C34,V03/O C16/P C30/T V04/IO C34/N ORANGE,V11C38V04C34C21,V11/O C38/R V04/A_E C34/N C21/G ORDINARY,V11C38C19V04C34V05C38V10,V11/O C38/R C19/D V04/I C34/N V05/A C38/R V10/Y ORGANIC,V11C38C23V01C34V02C22,V11/O C38/R C23/G V01/A C34/N V02/I C22/C ORGANIZATION,V11C38C23V04C34V04C29V06C30V04C34,V11/O C38/R C23/G V04/A C34/N V04/I C29/Z V06/A C30/T V04/IO C34/N ORGANIZE,V11C38C23V04C34V07C29,V11/O C38/R C23/G V04/A C34/N V07/I_E C29/Z ORIGIN,V11C38V04C21V04C34,V11/O C38/R V04/I C21/G V04/I C34/N ORIGINAL,V15V02C21V04C34V04C37,V15/OR V02/I C21/G V04/I C34/N V04/A C37/L ORIGINALLY,V15V02C21V04C34V04C37V10,V15/OR V02/I C21/G V04/I C34/N V04/A C37/LL V10/Y OUR,V13V15,V13/OU V15/R OUT,V13C18,V13/OU C18/T OUTCOME,V13C18C22V04C33,V13/OU C18/T C22/C V04/O_E C33/M OUTLINE,V13C18C37V07C34,V13/OU C18/T C37/L V07/I_E C34/N OUTPUT,V13C18C16V12C18,V13/OU C18/T C16/P V12/U C18/T OUTSIDE,V13C18C28V07C19,V13/OU C18/T C28/S V07/I_E C19/D OWE,V08,V08/OW_E PACE,C16V06C28,C16/P V06/A_E C28/C PACK,C16V01C22,C16/P V01/A C22/CK PACKAGE,C16V01C22V04C21,C16/P V01/A C22/CK V04/A_E C21/G PAGE,C16V06C21,C16/P V06/A_E C21/G PAIN,C16V06C34,C16/P V06/AI C34/N PAINT,C16V06C34C18,C16/P V06/AI C34/N C18/T PAIR,C16V05C38,C16/P V05/AI C38/R PALE,C16V06C37,C16/P V06/A_E C37/L PANEL,C16V01C34V04C37,C16/P V01/A C34/N V04/E C37/L PANIC,C16V01C34V02C22,C16/P V01/A C34/N V02/I C22/C PARAGRAPH,C16V01C38V04C23C38V01C24,C16/P V01/A C38/R V04/A C23/G C38/R V01/A C24/PH PARALLEL,C16V05C38V04C37V05C37,C16/P V05/A C38/R V04/A C37/LL V05/E C37/L PARENT,C16V05C38V04C34C18,C16/P V05/A C38/R V04/E C34/N C18/T PARK,C16V03C38C22,C16/P V03/A C38/R C22/K PART,C16V03C38C18,C16/P V03/A C38/R C18/T PARTICIPANT,C16V03C38C18V02C28V04C16V04C34C18,C16/P V03/A C38/R C18/T V02/I C28/C V04/I C16/P V04/A C34/N C18/T PARTICIPATE,C16V03C38C18V02C28V04C16V06C18,C16/P V03/A C38/R C18/T V02/I C28/C V04/I C16/P V06/A_E C18/T PARTICIPATION,C16V03C38C18V02C28V04C16V06C30V04C34,C16/P V03/A C38/R C18/T V02/I C28/C V04/I C16/P V06/A C30/T V04/IO C34/N PARTICULAR,C16V15C18V02C22C39V04C37V15,C16/P V15/AR C18/T V02/I C22/C C39/U V04/+ C37/L V15/AR PARTICULARLY,C16V03C38C18V02C22C39V04C37V15C37V10,C16/P V03/A C38/R C18/T V02/I C22/C C39/U V04/+ C37/L V15/AR C37/L V10/Y PARTLY,C16V03C38C18C37V10,C16/P V03/A C38/R C18/T C37/L V10/Y PARTY,C16V03C38C18V10,C16/P V03/A C38/R C18/T V10/Y PASS,C16V01C28,C16/P V01/A C28/SS PASSAGE,C16V01C28V04C21,C16/P V01/A C28/SS V04/A_E C21/G PASSION,C16V01C30V04C34,C16/P V01/A C30/SS V04/IO C34/N PAST,C16V01C28C18,C16/P V01/A C28/S C18/T PATH,C16V01C26,C16/P V01/A C26/TH PATIENT,C16V06C30V04C34C18,C16/P V06/A C30/T V04/I_E C34/N C18/T PATTERN,C16V01C18V15C34,C16/P V01/A C18/TT V15/ER C34/N PAUSE,C16V11C29,C16/P V11/AU_E C29/S PAY,C16V06,C16/P V06/AY PAYMENT,C16V06C33V04C34C18,C16/P V06/AY C33/M V04/E C34/N C18/T PEAK,C16V10C22,C16/P V10/EA C22/K PEER,C16V02C38,C16/P V02/E_E C38/R PEN,C16V05C34,C16/P V05/E C34/N PENALTY,C16V05C34V04C37C18V10,C16/P V05/E C34/N V04/A C37/L C18/T V10/Y PENSION,C16V05C34C30V04C34,C16/P V05/E C34/N C30/S V04/IO C34/N PEOPLE,C16V10C16V04C37,C16/P V10/EO C16/P V04/~ C37/L~ PERIOD,C16V02C38V10V04C19,C16/P V02/E C38/R V10/I V04/O C19/D PHASE,C24V06C29,C24/PH V06/A_E C29/S PHENOMENON,C24V04C34V03C33V04C34V03C34,C24/PH V04/E C34/N V03/O C33/M V04/E C34/N V03/O C34/N PHILOSOPHY,C24V04C37V03C28V04C24V10,C24/PH V04/I C37/L V03/O C28/S V04/O C24/PH V10/Y PHONE,C24V08C34,C24/PH V08/O_E C34/N PHOTO,C24V08C18V08,C24/PH V08/O C18/T V08/O PHOTOGRAPH,C24V08C18V04C23C38V01C24,C24/PH V08/O C18/T V04/O C23/G C38/R V01/A C24/PH PHRASE,C24C38V06C29,C24/PH C38/R V06/A_E C29/S PHYSICAL,C24V02C29V02C22V04C37,C24/PH V02/Y C29/S V02/I C22/C V04/A C37/L PIANO,C16V10V01C34V08,C16/P V10/I V01/A C34/N V08/O PICK,C16V02C22,C16/P V02/I C22/CK PICTURE,C16V02C22C20V15,C16/P V02/I C22/C C20/T V15/UR_E PIECE,C16V10C28,C16/P V10/I_E C28/C PIG,C16V02C23,C16/P V02/I C23/G PILE,C16V07C37,C16/P V07/I_E C37/L PILOT,C16V07C37V04C18,C16/P V07/I C37/L V04/O C18/T PINK,C16V02C35C22,C16/P V02/I C35/N C22/K PIPE,C16V07C16,C16/P V07/I_E C16/P PITCH,C16V02C20,C16/P V02/I C20/TCH PLACE,C16C37V06C28,C16/P C37/L V06/A_E C28/C PLAIN,C16C37V06C34,C16/P C37/L V06/AI C34/N PLAN,C16C37V01C34,C16/P C37/L V01/A C34/N PLANE,C16C37V06C34,C16/P C37/L V06/A_E C34/N PLANET,C16C37V01C34V04C18,C16/P C37/L V01/A C34/N V04/E C18/T PLANT,C16C37V01C34C18,C16/P C37/L V01/A C34/N C18/T PLASTIC,C16C37V01C28C18V02C22,C16/P C37/L V01/A C28/S C18/T V02/I C22/C PLATE,C16C37V06C18,C16/P C37/L V06/A_E C18/T PLATFORM,C16C37V01C18C24V11C38C33,C16/P C37/L V01/A C18/T C24/F V11/O C38/R C33/M PLAY,C16C37V06,C16/P C37/L V06/AY PLAYER,C16C37V06V15,C16/P C37/L V06/AY V15/ER PLEASANT,C16C37V05C29V04C34C18,C16/P C37/L V05/EA C29/S V04/A C34/N C18/T PLEASURE,C16C37V05C31V15,C16/P C37/L V05/A C31/S V15/UR_E PLENTY,C16C37V05C34C18V10,C16/P C37/L V05/E C34/N C18/T V10/Y PLOT,C16C37V03C18,C16/P C37/L V03/O C18/T PLUS,C16C37V04C28,C16/P C37/L V04/U C28/S POCKET,C16V03C22V04C18,C16/P V03/O C22/CK V04/E C18/T POEM,C16V08V04C33,C16/P V08/O V04/E C33/M POET,C16V08V04C18,C16/P V08/O V04/E C18/T POETRY,C16V08V04C18C38V10,C16/P V08/O V04/E C18/T C38/R V10/Y POINT,C16V14C34C18,C16/P V14/OI C34/N C18/T POLICE,C16V04C37V10C28,C16/P V04/O C37/L V10/I_E C28/C POLICY,C16V03C37V04C28V10,C16/P V03/O C37/L V04/I C28/C V10/Y POLITICAL,C16V04C37V02C18V04C22V04C37,C16/P V04/O C37/L V02/I C18/T V04/I C22/C V04/A C37/L POLITICIAN,C16V03C37V04C18V02C30V04C34,C16/P V03/O C37/L V04/I C18/T V02/I C30/C V04/IA C34/N POLITICS,C16V03C37V04C18V02C22C28,C16/P V03/O C37/L V04/I C18/T V02/I C22/C C28/S POLL,C16V08C37,C16/P V08/O C37/LL POLLUTION,C16V04C37V09C30V04C34,C16/P V04/O C37/LL V09/U C30/T V04/IO C34/N POOL,C16V09C37,C16/P V09/OO C37/L POOR,C16V09C38,C16/P V09/OO C38/R POP,C16V03C16,C16/P V03/O C16/P POPULAR,C16V03C16C39V04C37V15,C16/P V03/O C16/P C39/U V04/+ C37/L V15/AR POPULATION,C16V03C16C39V04C37V06C30V04C34,C16/P V03/O C16/P C39/U V04/+ C37/L V06/A C30/T V04/IO C34/N PORT,C16V11C38C18,C16/P V11/O C38/R C18/T PORTION,C16V11C38C30V04C34,C16/P V11/O C38/R C30/T V04/IO C34/N PORTRAIT,C16V11C38C18C38V04C18,C16/P V11/O C38/R C18/T C38/R V04/AI C18/T POSE,C16V08C29,C16/P V08/O_E C29/S POSITION,C16V04C29V02C30V04C34,C16/P V04/O C29/S V02/I C30/T V04/IO C34/N POSITIVE,C16V03C29V04C18V02C25,C16/P V03/O C29/S V04/I C18/T V02/I_E C25/V POSSESS,C16V04C29V05C28,C16/P V04/O C29/SS V05/E C28/SS POSSESSION,C16V04C29V05C30V04C34,C16/P V04/O C29/SS V05/E C30/SS V04/IO C34/N POSSIBILITY,C16V03C28V04C17V02C37V04C18V10,C16/P V03/O C28/SS V04/I C17/B V02/I C37/L V04/I C18/T V10/Y POSSIBLE,C16V03C28V04C17V04C37,C16/P V03/O C28/SS V04/I C17/B V04/~ C37/L~ POSSIBLY,C16V03C28V04C17C37V10,C16/P V03/O C28/SS V04/I C17/B C37/L V10/Y POST,C16V08C28C18,C16/P V08/O C28/S C18/T POT,C16V03C18,C16/P V03/O C18/T POTATO,C16V04C18V06C18V08,C16/P V04/O C18/T V06/A C18/T V08/O POTENTIAL,C16V04C18V05C34C30V04C37,C16/P V04/O C18/T V05/E C34/N C30/T V04/IA C37/L POUND,C16V13C34C19,C16/P V13/OU C34/N C19/D POUR,C16V11C38,C16/P V11/OU C38/R PRACTICAL,C16C38V01C22C18V02C22V04C37,C16/P C38/R V01/A C22/C C18/T V02/I C22/C V04/A C37/L PRACTICE,C16C38V01C22C18V02C28,C16/P C38/R V01/A C22/C C18/T V02/I_E C28/C PRAISE,C16C38V06C29,C16/P C38/R V06/AI_E C29/S PRAY,C16C38V06,C16/P C38/R V06/AY PREDICT,C16C38V02C19V02C22C18,C16/P C38/R V02/E C19/D V02/I C22/C C18/T PREGNANCY,C16C38V05C23C34V04C34C28V10,C16/P C38/R V05/E C23/G C34/N V04/A C34/N C28/C V10/Y PREGNANT,C16C38V05C23C34V04C34C18,C16/P C38/R V05/E C23/G C34/N V04/A C34/N C18/T PREPARATION,C16C38V05C16V15V06C30V04C34,C16/P C38/R V05/E C16/P V15/AR V06/A C30/T V04/IO C34/N PRESENT,C16C38V05C29V04C34C18,C16/P C38/R V05/E C29/S V04/E C34/N C18/T PRESENTATION,C16C38V05C29V04C34C18V06C30V04C34,C16/P C38/R V05/E C29/S V04/E C34/N C18/T V06/A C30/T V04/IO C34/N PRESIDENT,C16C38V05C29V02C19V04C34C18,C16/P C38/R V05/E C29/S V02/I C19/D V04/E C34/N C18/T PRESS,C16C38V05C28,C16/P C38/R V05/E C28/SS PRESUMABLY,C16C38V04C29V09C33V04C17C37V10,C16/P C38/R V04/E C29/S V09/U C33/M V04/A C17/B C37/L V10/Y PRETEND,C16C38V10C18V05C34C19,C16/P C38/R V10/E C18/T V05/E C34/N C19/D PRETTY,C16C38V02C18V10,C16/P C38/R V02/E C18/TT V10/Y PREVENT,C16C38V02C25V05C34C18,C16/P C38/R V02/E C25/V V05/E C34/N C18/T PREVIOUS,C16C38V10C25V10V04C28,C16/P C38/R V10/E C25/V V10/I V04/OU C28/S PRICE,C16C38V07C28,C16/P C38/R V07/I_E C28/C PRIDE,C16C38V07C19,C16/P C38/R V07/I_E C19/D PRIMARILY,C16C38V07C33V05C38V04C37V10,C16/P C38/R V07/I C33/M V05/A C38/R V04/I C37/L V10/Y PRIMARY,C16C38V07C33V05C38V10,C16/P C38/R V07/I C33/M V05/A C38/R V10/Y PRIME,C16C38V07C33,C16/P C38/R V07/I_E C33/M PRINCIPAL,C16C38V02C34C28V04C16V04C37,C16/P C38/R V02/I C34/N C28/C V04/I C16/P V04/A C37/L PRINCIPLE,C16C38V02C34C28V04C16V04C37,C16/P C38/R V02/I C34/N C28/C V04/I C16/P V04/~ C37/L~ PRINT,C16C38V02C34C18,C16/P C38/R V02/I C34/N C18/T PRIOR,C16C38V07V15,C16/P C38/R V07/I V15/OR PRIORITY,C16C38V07V11C38V04C18V10,C16/P C38/R V07/I V11/O C38/R V04/I C18/T V10/Y PRISON,C16C38V02C29V04C34,C16/P C38/R V02/I C29/S V04/O C34/N PRIVATE,C16C38V07C25V04C18,C16/P C38/R V07/I C25/V V04/A_E C18/T PRIZE,C16C38V07C29,C16/P C38/R V07/I_E C29/Z PRO,C16C38V08,C16/P C38/R V08/O PROBABILITY,C16C38V03C17V04C17V02C37V04C18V10,C16/P C38/R V03/O C17/B V04/A C17/B V02/I C37/L V04/I C18/T V10/Y PROBABLY,C16C38V03C17V04C17C37V10,C16/P C38/R V03/O C17/B V04/A C17/B C37/L V10/Y PROBLEM,C16C38V03C17C37V04C33,C16/P C38/R V03/O C17/B C37/L V04/E C33/M PROCEED,C16C38V04C28V10C19,C16/P C38/R V04/O C28/C V10/E_E C19/D PROCESS,C16C38V03C28V05C28,C16/P C38/R V03/O C28/C V05/E C28/SS PRODUCE,C16C38V04C19V09C28,C16/P C38/R V04/O C19/D V09/U_E C28/C PRODUCT,C16C38V03C19V04C22C18,C16/P C38/R V03/O C19/D V04/U C22/C C18/T PRODUCTION,C16C38V04C19V04C22C30V04C34,C16/P C38/R V04/O C19/D V04/U C22/C C30/T V04/IO C34/N PROFESSION,C16C38V04C24V05C30V04C34,C16/P C38/R V04/O C24/F V05/E C30/SS V04/IO C34/N PROFESSIONAL,C16C38V04C24V05C30V04C34V04C37,C16/P C38/R V04/O C24/F V05/E C30/SS V04/IO C34/N V04/A C37/L PROFESSOR,C16C38V04C24V05C28V15,C16/P C38/R V04/O C24/F V05/E C28/SS V15/OR PROFILE,C16C38V08C24V07C37,C16/P C38/R V08/O C24/F V07/I_E C37/L PROFIT,C16C38V03C24V04C18,C16/P C38/R V03/O C24/F V04/I C18/T PROGRAM,C16C38V08C23C38V01C33,C16/P C38/R V08/O C23/G C38/R V01/A C33/M PROGRESS,C16C38V03C23C38V05C28,C16/P C38/R V03/O C23/G C38/R V05/E C28/SS PROJECT,C16C38V03C21V05C22C18,C16/P C38/R V03/O C21/J V05/E C22/C C18/T PROMISE,C16C38V03C33V04C28,C16/P C38/R V03/O C33/M V04/I_E C28/S PROMOTE,C16C38V04C33V08C18,C16/P C38/R V04/O C33/M V08/O_E C18/T PROMOTION,C16C38V04C33V08C30V04C34,C16/P C38/R V04/O C33/M V08/O C30/T V04/IO C34/N PROMPT,C16C38V03C33C16C18,C16/P C38/R V03/O C33/M C16/P C18/T PROOF,C16C38V09C24,C16/P C38/R V09/OO C24/F PROPORTION,C16C38V04C16V11C38C30V04C34,C16/P C38/R V04/O C16/P V11/O C38/R C30/T V04/IO C34/N PROPOSAL,C16C38V04C16V08C29V04C37,C16/P C38/R V04/O C16/P V08/O C29/S V04/A C37/L PROPOSE,C16C38V04C16V08C29,C16/P C38/R V04/O C16/P V08/O_E C29/S PROSPECT,C16C38V03C28C16V05C22C18,C16/P C38/R V03/O C28/S C16/P V05/E C22/C C18/T PROTECT,C16C38V04C18V05C22C18,C16/P C38/R V04/O C18/T V05/E C22/C C18/T PROTECTION,C16C38V04C18V05C22C30V04C34,C16/P C38/R V04/O C18/T V05/E C22/C C30/T V04/IO C34/N PROTEIN,C16C38V08C18V10C34,C16/P C38/R V08/O_E C18/T V10/I C34/N PROTEST,C16C38V08C18V05C28C18,C16/P C38/R V08/O C18/T V05/E C28/S C18/T PROUD,C16C38V13C19,C16/P C38/R V13/OU C19/D PROVE,C16C38V09C25,C16/P C38/R V09/O_E C25/V PROVIDE,C16C38V04C25V07C19,C16/P C38/R V04/O C25/V V07/I_E C19/D PROVINCE,C16C38V03C25V04C34C28,C16/P C38/R V03/O C25/V V04/I_E C34/N C28/C PROVISION,C16C38V04C25V02C31V04C34,C16/P C38/R V04/O C25/V V02/I C31/S V04/IO C34/N PSYCHOLOGICAL,C28V07C22V04C37V03C21V02C22V04C37,C28/PS V07/Y C22/CH V04/O C37/L V03/O C21/G V02/I C22/C V04/A C37/L PUB,C16V04C17,C16/P V04/U C17/B PUBLIC,C16V04C17C37V02C22,C16/P V04/U C17/B C37/L V02/I C22/C PUBLICATION,C16V04C17C37V02C22V06C30V04C34,C16/P V04/U C17/B C37/L V02/I C22/C V06/A C30/T V04/IO C34/N PUBLISHER,C16V04C17C37V02C30V15,C16/P V04/U C17/B C37/L V02/I C30/SH V15/ER PULL,C16V12C37,C16/P V12/U C37/LL PUMP,C16V04C33C16,C16/P V04/U C33/M C16/P PUPIL,C16C39V09C16V04C37,C16/P C39/U V09/+ C16/P V04/I C37/L PURCHASE,C16V15C20V04C28,C16/P V15/UR C20/CH V04/A_E C28/S PURE,C16C39V12C38,C16/P C39/U V12/+ C38/R PURPOSE,C16V15C16V04C28,C16/P V15/UR C16/P V04/O_E C28/S PURSUE,C16V15C28V09,C16/P V15/UR C28/S V09/U_E PUSH,C16V12C30,C16/P V12/U C30/SH PUT,C16V12C18,C16/P V12/U C18/T QUALIFICATION,C22C36V03C37V04C24V04C22V06C30V04C34,C22/Q C36/U V03/A C37/L V04/I C24/F V04/I C22/C V06/A C30/T V04/IO C34/N QUALIFY,C22C36V03C37V04C24V07,C22/Q C36/U V03/A C37/L V04/I C24/F V07/Y QUALITY,C22C36V03C37V04C18V10,C22/Q C36/U V03/A C37/L V04/I C18/T V10/Y QUANTITY,C22C36V03C34C18V04C18V10,C22/Q C36/U V03/A C34/N C18/T V04/I C18/T V10/Y QUESTION,C22C36V05C28C20V04C34,C22/Q C36/U V05/E C28/S C20/T V04/IO C34/N QUICK,C22C36V02C22,C22/Q C36/U V02/I C22/CK QUICKLY,C22C36V02C22C37V10,C22/Q C36/U V02/I C22/CK C37/L V10/Y QUIET,C22C36V07V04C18,C22/Q C36/U V07/I V04/E C18/T QUIETLY,C22C36V07V04C18C37V10,C22/Q C36/U V07/I V04/E C18/T C37/L V10/Y QUITE,C22C36V07C18,C22/Q C36/U V07/I_E C18/T QUOTE,C22C36V08C18,C22/Q C36/U V08/O_E C18/T RACE,C38V06C28,C38/R V06/A_E C28/C RACIAL,C38V06C30V04C37,C38/R V06/A C30/C V04/IA C37/L RADICAL,C38V01C19V02C22V04C37,C38/R V01/A C19/D V02/I C22/C V04/A C37/L RADIO,C38V06C19V10V08,C38/R V06/A C19/D V10/I V08/O RAIL,C38V06C37,C38/R V06/AI C37/L RAIN,C38V06C34,C38/R V06/AI C34/N RAISE,C38V06C29,C38/R V06/AI_E C29/S RANDOM,C38V01C34C19V04C33,C38/R V01/A C34/N C19/D V04/O C33/M RANGE,C38V06C34C21,C38/R V06/A_E C34/N C21/G RANK,C38V01C35C22,C38/R V01/A C35/N C22/K RAPID,C38V01C16V04C19,C38/R V01/A C16/P V04/I C19/D RAPIDLY,C38V01C16V04C19C37V10,C38/R V01/A C16/P V04/I C19/D C37/L V10/Y RARE,C38V05C38,C38/R V05/A_E C38/R RARELY,C38V05C38C37V10,C38/R V05/A_E C38/R C37/L V10/Y RAT,C38V01C18,C38/R V01/A C18/T RATE,C38V06C18,C38/R V06/A_E C18/T RATIO,C38V06C30V10V08,C38/R V06/A C30/T V10/I V08/O RAW,C38V03,C38/R V03/AW REACH,C38V10C20,C38/R V10/EA C20/CH REACT,C38V10V01C22C18,C38/R V10/E V01/A C22/C C18/T REACTION,C38V10V01C22C30V04C34,C38/R V10/E V01/A C22/C C30/T V04/IO C34/N READ,C38V05C19,C38/R V05/EA C19/D READY,C38V05C19V10,C38/R V05/EA C19/D V10/Y REAL,C38V10C37,C38/R V10/EA C37/L REALITY,C38V10V01C37V04C18V10,C38/R V10/E V01/A C37/L V04/I C18/T V10/Y REALLY,C38V02C37V10,C38/R V02/EA C37/LL V10/Y REAR,C38V02C38,C38/R V02/EA C38/R REASON,C38V10C29V04C34,C38/R V10/EA C29/S V04/O C34/N REASONABLE,C38V10C29V04C34V04C17V04C37,C38/R V10/EA C29/S V04/O C34/N V04/A C17/B V04/~ C37/L~ REASONABLY,C38V10C29V04C34V04C17C37V10,C38/R V10/EA C29/S V04/O C34/N V04/A C17/B C37/L V10/Y RECALL,C38V10C22V11C37,C38/R V10/E C22/C V11/A C37/LL RECENT,C38V10C28V04C34C18,C38/R V10/E C28/C V04/E C34/N C18/T RECENTLY,C38V10C28V04C34C18C37V10,C38/R V10/E C28/C V04/E C34/N C18/T C37/L V10/Y RECKON,C38V05C22V04C34,C38/R V05/E C22/CK V04/O C34/N RECOGNITION,C38V05C22V04C23C34V02C30V04C34,C38/R V05/E C22/C V04/O C23/G C34/N V02/I C30/T V04/IO C34/N RECOMMEND,C38V05C22V04C33V05C34C19,C38/R V05/E C22/C V04/O C33/MM V05/E C34/N C19/D RECOMMENDATION,C38V05C22V04C33V04C34C19V06C30V04C34,C38/R V05/E C22/C V04/O C33/MM V04/E C34/N C19/D V06/A C30/T V04/IO C34/N RECORD,C38V04C22V11C38C19,C38/R V04/E C22/C V11/O C38/R C19/D RECRUIT,C38V04C22C38V09C18,C38/R V04/E C22/C C38/R V09/UI C18/T RED,C38V05C19,C38/R V05/E C19/D REDUCTION,C38V02C19V04C22C30V04C34,C38/R V02/E C19/D V04/U C22/C C30/T V04/IO C34/N REFLECT,C38V04C24C37V05C22C18,C38/R V04/E C24/F C37/L V05/E C22/C C18/T REFLECTION,C38V04C24C37V05C22C30V04C34,C38/R V04/E C24/F C37/L V05/E C22/C C30/T V04/IO C34/N REFORM,C38V04C24V11C38C33,C38/R V04/E C24/F V11/O C38/R C33/M REGARD,C38V04C23V03C38C19,C38/R V04/E C23/G V03/A C38/R C19/D REGARDLESS,C38V04C23V03C38C19C37V04C28,C38/R V04/E C23/G V03/A C38/R C19/D C37/L V04/E C28/SS REGION,C38V10C21V04C34,C38/R V10/E C21/G V04/IO C34/N REGIONAL,C38V10C21V04C34V04C37,C38/R V10/E C21/G V04/IO C34/N V04/A C37/L REGISTRATION,C38V05C21V02C28C18C38V06C30V04C34,C38/R V05/E C21/G V02/I C28/S C18/T C38/R V06/A C30/T V04/IO C34/N REGRET,C38V04C23C38V05C18,C38/R V04/E C23/G C38/R V05/E C18/T REGULAR,C38V05C23C39V04C37V15,C38/R V05/E C23/G C39/U V04/+ C37/L V15/AR REGULARLY,C38V05C23C39V04C37V15C37V10,C38/R V05/E C23/G C39/U V04/+ C37/L V15/AR C37/L V10/Y REGULATION,C38V05C23C39V04C37V06C30V04C34,C38/R V05/E C23/G C39/U V04/+ C37/L V06/A C30/T V04/IO C34/N REJECT,C38V02C21V05C22C18,C38/R V02/E C21/J V05/E C22/C C18/T RELATION,C38V10C37V06C30V04C34,C38/R V10/E C37/L V06/A C30/T V04/IO C34/N RELATIONSHIP,C38V10C37V06C30V04C34C30V02C16,C38/R V10/E C37/L V06/A C30/T V04/IO C34/N C30/SH V02/I C16/P RELAX,C38V02C37V01C22C28,C38/R V02/E C37/L V01/A C22/X C28/+ RELEVANT,C38V05C37V04C25V04C34C18,C38/R V05/E C37/L V04/E C25/V V04/A C34/N C18/T RELIABLE,C38V02C37V07V04C17V04C37,C38/R V02/E C37/L V07/I V04/A C17/B V04/~ C37/L~ RELIGION,C38V02C37V02C21V04C34,C38/R V02/E C37/L V02/I C21/G V04/IO C34/N RELIGIOUS,C38V02C37V02C21V04C28,C38/R V02/E C37/L V02/I C21/G V04/IOU C28/S RELY,C38V02C37V07,C38/R V02/E C37/L V07/Y REMAIN,C38V02C33V06C34,C38/R V02/E C33/M V06/AI C34/N REMARK,C38V02C33V03C38C22,C38/R V02/E C33/M V03/A C38/R C22/K REMARKABLE,C38V02C33V03C38C22V04C17V04C37,C38/R V02/E C33/M V03/A C38/R C22/K V04/A C17/B V04/~ C37/L~ REMIND,C38V10C33V07C34C19,C38/R V10/E C33/M V07/I C34/N C19/D RENT,C38V05C34C18,C38/R V05/E C34/N C18/T REPAIR,C38V02C16V05C38,C38/R V02/E C16/P V05/AI C38/R REPLY,C38V02C16C37V07,C38/R V02/E C16/P C37/L V07/Y REPORT,C38V10C16V11C38C18,C38/R V10/E C16/P V11/O C38/R C18/T REPRESENT,C38V05C16C38V04C29V05C34C18,C38/R V05/E C16/P C38/R V04/E C29/S V05/E C34/N C18/T REPRESENTATION,C38V05C16C38V04C29V05C34C18V06C30V04C34,C38/R V05/E C16/P C38/R V04/E C29/S V05/E C34/N C18/T V06/A C30/T V04/IO C34/N REPUTATION,C38V05C16C39V04C18V06C30V04C34,C38/R V05/E C16/P C39/U V04/+ C18/T V06/A C30/T V04/IO C34/N REQUEST,C38V02C22C36V05C28C18,C38/R V02/E C22/Q C36/U V05/E C28/S C18/T RESIDENT,C38V05C29V02C19V04C34C18,C38/R V05/E C29/S V02/I C19/D V04/E C34/N C18/T RESIGN,C38V02C29V07C34,C38/R V02/E C29/S V07/I C34/GN RESIST,C38V02C29V02C28C18,C38/R V02/E C29/S V02/I C28/S C18/T RESOLUTION,C38V05C29V04C37V09C30V04C34,C38/R V05/E C29/S V04/O C37/L V09/U C30/T V04/IO C34/N RESORT,C38V02C29V11C38C18,C38/R V02/E C29/S V11/O C38/R C18/T RESPECT,C38V02C28C16V05C22C18,C38/R V02/E C28/S C16/P V05/E C22/C C18/T RESPOND,C38V02C28C16V03C34C19,C38/R V02/E C28/S C16/P V03/O C34/N C19/D RESPONSIBILITY,C38V10C28C16V03C34C28V04C17V02C37V04C18V10,C38/R V10/E C28/S C16/P V03/O C34/N C28/S V04/I C17/B V02/I C37/L V04/I C18/T V10/Y RESPONSIBLE,C38V10C28C16V03C34C28V04C17V04C37,C38/R V10/E C28/S C16/P V03/O C34/N C28/S V04/I C17/B V04/~ C37/L~ REST,C38V05C28C18,C38/R V05/E C28/S C18/T RESTAURANT,C38V05C28C18V15V03C34C18,C38/R V05/E C28/S C18/T V15/AUR V03/A C34/N C18/T RESTRICT,C38V10C28C18C38V02C22C18,C38/R V10/E C28/S C18/T C38/R V02/I C22/C C18/T RESTRICTION,C38V10C28C18C38V02C22C30V04C34,C38/R V10/E C28/S C18/T C38/R V02/I C22/C C30/T V04/IO C34/N RESULT,C38V02C29V04C37C18,C38/R V02/E C29/S V04/U C37/L C18/T RETAIL,C38V10C18V06C37,C38/R V10/E C18/T V06/AI C37/L RETAIN,C38V02C18V06C34,C38/R V02/E C18/T V06/AI C34/N RETURN,C38V02C18V15C34,C38/R V02/E C18/T V15/UR C34/N REVOLUTION,C38V05C25V04C37V09C30V04C34,C38/R V05/E C25/V V04/O C37/L V09/U C30/T V04/IO C34/N REWARD,C38V02C36V11C38C19,C38/R V02/E C36/W V11/A C38/R C19/D RICE,C38V07C28,C38/R V07/I_E C28/C RICH,C38V02C20,C38/R V02/I C20/CH RID,C38V02C19,C38/R V02/I C19/D RIDE,C38V07C19,C38/R V07/I_E C19/D RIGHT,C38V07C18,C38/R V07/IGH C18/T RING,C38V02C35,C38/R V02/I C35/NG RISE,C38V07C29,C38/R V07/I_E C29/S RISK,C38V02C28C22,C38/R V02/I C28/S C22/K RIVAL,C38V07C25V04C37,C38/R V07/I C25/V V04/A C37/L ROAD,C38V08C19,C38/R V08/OA C19/D ROCK,C38V03C22,C38/R V03/O C22/CK ROLE,C38V08C37,C38/R V08/O_E C37/L ROLL,C38V08C37,C38/R V08/O C37/LL ROMANTIC,C38V08C33V01C34C18V02C22,C38/R V08/O C33/M V01/A C34/N C18/T V02/I C22/C ROOF,C38V09C24,C38/R V09/OO C24/F ROOM,C38V09C33,C38/R V09/OO C33/M ROOT,C38V09C18,C38/R V09/OO C18/T ROUGH,C38V04C24,C38/R V04/OU C24/GH ROUGHLY,C38V04C24C37V10,C38/R V04/OU C24/GH C37/L V10/Y ROUND,C38V13C34C19,C38/R V13/OU C34/N C19/D ROUTE,C38V09C18,C38/R V09/OU_E C18/T ROUTINE,C38V09C18V10C34,C38/R V09/OU C18/T V10/I_E C34/N ROW,C38V08,C38/R V08/OW ROYAL,C38V14V04C37,C38/R V14/OY V04/A C37/L RUIN,C38V09V04C34,C38/R V09/U V04/I C34/N RULE,C38V09C37,C38/R V09/U_E C37/L RUN,C38V04C34,C38/R V04/U C34/N RURAL,C38V12C38V04C37,C38/R V12/U C38/R V04/A C37/L RUSH,C38V04C30,C38/R V04/U C30/SH SAD,C28V01C19,C28/S V01/A C19/D SAFE,C28V06C24,C28/S V06/A_E C24/F SAFETY,C28V06C24C18V10,C28/S V06/A_E C24/F C18/T V10/Y SAIL,C28V06C37,C28/S V06/AI C37/L SAKE,C28V06C22,C28/S V06/A_E C22/K SALARY,C28V01C37V15V10,C28/S V01/A C37/L V15/AR V10/Y SALE,C28V06C37,C28/S V06/A_E C37/L SALT,C28V11C37C18,C28/S V11/A C37/L C18/T SAME,C28V06C33,C28/S V06/A_E C33/M SAMPLE,C28V01C33C16V04C37,C28/S V01/A C33/M C16/P V04/~ C37/L~ SANCTION,C28V01C35C22C30V04C34,C28/S V01/A C35/N C22/C C30/T V04/IO C34/N SAND,C28V01C34C19,C28/S V01/A C34/N C19/D SATISFACTION,C28V01C18V04C28C24V01C22C30V04C34,C28/S V01/A C18/T V04/I C28/S C24/F V01/A C22/C C30/T V04/IO C34/N SATISFY,C28V01C18V04C28C24V07,C28/S V01/A C18/T V04/I C28/S C24/F V07/Y SAVE,C28V06C25,C28/S V06/A_E C25/V SAY,C28V06,C28/S V06/AY SCALE,C28C22V06C37,C28/S C22/C V06/A_E C37/L SCAN,C28C22V01C34,C28/S C22/C V01/A C34/N SCARE,C28C22V05C38,C28/S C22/C V05/A_E C38/R SCHOLAR,C28C22V03C37V15,C28/S C22/CH V03/O C37/L V15/AR SCHOOL,C28C22V09C37,C28/S C22/CH V09/OO C37/L SCIENCE,C28V07V04C34C28,C28/S V07/CI V04/+ C34/N C28/C SCIENTIFIC,C28V07V04C34C18V02C24V02C22,C28/S V07/CI V04/E C34/N C18/T V02/I C24/F V02/I C22/C SCIENTIST,C28V07V04C34C18V02C28C18,C28/S V07/CI V04/E C34/N C18/T V02/I C28/S C18/T SCOPE,C28C22V08C16,C28/S C22/C V08/O_E C16/P SCORE,C28C22V11C38,C28/S C22/C V11/O_E C38/R SCREAM,C28C22C38V10C33,C28/S C22/C C38/R V10/EA C33/M SCREEN,C28C22C38V10C34,C28/S C22/C C38/R V10/E_E C34/N SEA,C28V10,C28/S V10/EA SEAL,C28V10C37,C28/S V10/EA C37/L SEASON,C28V10C29V04C34,C28/S V10/EA C29/S V04/O C34/N SEAT,C28V10C18,C28/S V10/EA C18/T SECOND,C28V05C22V04C34C19,C28/S V05/E C22/C V04/O C34/N C19/D SECONDARY,C28V05C22V04C34C19V05C38V10,C28/S V05/E C22/C V04/O C34/N C19/D V05/A C38/R V10/Y SECONDLY,C28V05C22V04C34C19C37V10,C28/S V05/E C22/C V04/O C34/N C19/D C37/L V10/Y SECRET,C28V10C22C38V04C18,C28/S V10/E C22/C C38/R V04/E C18/T SECRETARY,C28V05C22C38V04C18V05C38V10,C28/S V05/E C22/C C38/R V04/E C18/T V05/A C38/R V10/Y SECTION,C28V05C22C30V04C34,C28/S V05/E C22/C C30/T V04/IO C34/N SECTOR,C28V05C22C18V15,C28/S V05/E C22/C C18/T V15/OR SECURITY,C28V02C22C39V12C38V04C18V10,C28/S V02/E C22/C C39/U V12/+ C38/R V04/I C18/T V10/Y SEE,C28V10,C28/S V10/E_E SEED,C28V10C19,C28/S V10/E_E C19/D SEEK,C28V10C22,C28/S V10/E_E C22/K SEEM,C28V10C33,C28/S V10/E_E C33/M SEGMENT,C28V05C23C33V04C34C18,C28/S V05/E C23/G C33/M V04/E C34/N C18/T SELECT,C28V04C37V05C22C18,C28/S V04/E C37/L V05/E C22/C C18/T SELECTION,C28V04C37V05C22C30V04C34,C28/S V04/E C37/L V05/E C22/C C30/T V04/IO C34/N SELF,C28V05C37C24,C28/S V05/E C37/L C24/F SELL,C28V05C37,C28/S V05/E C37/LL SEND,C28V05C34C19,C28/S V05/E C34/N C19/D SENIOR,C28V10C34C39V15,C28/S V10/E C34/N C39/I V15/OR SERIOUS,C28V02C38V10V04C28,C28/S V02/E C38/R V10/I V04/OU C28/S SERIOUSLY,C28V02C38V10V04C28C37V10,C28/S V02/E C38/R V10/I V04/OU C28/S C37/L V10/Y SESSION,C28V05C30V04C34,C28/S V05/E C30/SS V04/IO C34/N SET,C28V05C18,C28/S V05/E C18/T SETTLE,C28V05C18V04C37,C28/S V05/E C18/TT V04/~ C37/L~ SETTLEMENT,C28V05C18V04C37C33V04C34C18,C28/S V05/E C18/TT V04/~ C37/L~ C33/M V04/E C34/N C18/T SEX,C28V05C22C28,C28/S V05/E C22/X C28/+ SHOCK,C30V03C22,C30/S V03/HO C22/CK SHOP,C30V03C16,C30/S V03/HO C16/P SHORE,C30V11C38,C30/S V11/HO_E C38/R SHORT,C30V11C38C18,C30/S V11/HO C38/R C18/T SHOT,C30V03C18,C30/S V03/HO C18/T SHOUT,C30V13C18,C30/S V13/HOU C18/T SICK,C28V02C22,C28/S V02/I C22/CK SIDE,C28V07C19,C28/S V07/I_E C19/D SIGH,C28V07,C28/S V07/IGH SIGHT,C28V07C18,C28/S V07/IGH C18/T SIGN,C28V07C34,C28/S V07/I C34/GN SIGNAL,C28V02C23C34V04C37,C28/S V02/I C23/G C34/N V04/A C37/L SIGNIFICANCE,C28V04C23C34V02C24V02C22V04C34C28,C28/S V04/I C23/G C34/N V02/I C24/F V02/I C22/C V04/A_E C34/N C28/C SIGNIFICANT,C28V04C23C34V02C24V02C22V04C34C18,C28/S V04/I C23/G C34/N V02/I C24/F V02/I C22/C V04/A C34/N C18/T SILENCE,C28V07C37V04C34C28,C28/S V07/I C37/L V04/+ C34/N C28/C SILENT,C28V07C37V04C34C18,C28/S V07/I C37/L V04/E C34/N C18/T SILLY,C28V02C37V10,C28/S V02/I C37/LL V10/Y SIMILAR,C28V02C33V04C37V15,C28/S V02/I C33/M V04/I C37/L V15/AR SIMILARLY,C28V02C33V04C37V15C37V10,C28/S V02/I C33/M V04/I C37/L V15/AR C37/L V10/Y SIMPLE,C28V02C33C16V04C37,C28/S V02/I C33/M C16/P V04/~ C37/L~ SIMPLY,C28V02C33C16C37V10,C28/S V02/I C33/M C16/P C37/L V10/Y SINCE,C28V02C34C28,C28/S V02/I_E C34/N C28/C SING,C28V02C35,C28/S V02/I C35/NG SINGER,C28V02C35V15,C28/S V02/I C35/NG V15/ER SINGLE,C28V02C35C23V04C37,C28/S V02/I C35/N C23/G V04/~ C37/L~ SINK,C28V02C35C22,C28/S V02/I C35/N C22/K SIR,C28V15,C28/S V15/IR SIT,C28V02C18,C28/S V02/I C18/T SITE,C28V07C18,C28/S V07/I_E C18/T SITUATE,C28V02C20V09V06C18,C28/S V02/I C20/T V09/U V06/A_E C18/T SITUATION,C28V02C20V09V06C30V04C34,C28/S V02/I C20/T V09/U V06/A C30/T V04/IO C34/N SIZE,C28V07C29,C28/S V07/I_E C29/Z SKI,C28C22V10,C28/S C22/K V10/I SKILL,C28C22V02C37,C28/S C22/K V02/I C37/LL SKIN,C28C22V02C34,C28/S C22/K V02/I C34/N SKIRT,C28C22V15C18,C28/S C22/K V15/IR C18/T SKY,C28C22V07,C28/S C22/K V07/Y SLAVE,C28C37V06C25,C28/S C37/L V06/A_E C25/V SLEEP,C28C37V10C16,C28/S C37/L V10/E_E C16/P SLICE,C28C37V07C28,C28/S C37/L V07/I_E C28/C SLIDE,C28C37V07C19,C28/S C37/L V07/I_E C19/D SLIGHT,C28C37V07C18,C28/S C37/L V07/IGH C18/T SLIGHTLY,C28C37V07C18C37V10,C28/S C37/L V07/IGH C18/T C37/L V10/Y SLIP,C28C37V02C16,C28/S C37/L V02/I C16/P SLOPE,C28C37V08C16,C28/S C37/L V08/O_E C16/P SLOW,C28C37V08,C28/S C37/L V08/OW SLOWLY,C28C37V08C37V10,C28/S C37/L V08/OW C37/L V10/Y SMALL,C28C33V11C37,C28/S C33/M V11/A C37/LL SMART,C28C33V03C38C18,C28/S C33/M V03/A C38/R C18/T SMELL,C28C33V05C37,C28/S C33/M V05/E C37/LL SMILE,C28C33V07C37,C28/S C33/M V07/I_E C37/L SMOKE,C28C33V08C22,C28/S C33/M V08/O_E C22/K SMOOTH,C28C33V09C27,C28/S C33/M V09/OO C27/TH SNAP,C28C34V01C16,C28/S C34/N V01/A C16/P SNOW,C28C34V08,C28/S C34/N V08/OW SOCIAL,C28V08C30V04C37,C28/S V08/O C30/C V04/IA C37/L SOCIETY,C28V08C28V07V02C18V10,C28/S V08/O C28/C V07/I V02/E C18/T V10/Y SOFT,C28V03C24C18,C28/S V03/O C24/F C18/T SOFTWARE,C28V11C24C18C36V05C38,C28/S V11/O C24/F C18/T C36/W V05/A_E C38/R SOIL,C28V14C37,C28/S V14/OI C37/L SOLID,C28V03C37V04C19,C28/S V03/O C37/L V04/I C19/D SOLUTION,C28V04C37V09C30V04C34,C28/S V04/O C37/L V09/U C30/T V04/IO C34/N SOLVE,C28V03C37C25,C28/S V03/O_E C37/L C25/V SOME,C28V04C33,C28/S V04/O_E C33/M SOMEBODY,C28V04C33C17V03C19V10,C28/S V04/O_E C33/M C17/B V03/O C19/D V10/Y SOMEHOW,C28V04C33C32V13,C28/S V04/O_E C33/M C32/H V13/OW SOMETHING,C28V04C33C26V02C35,C28/S V04/O_E C33/M C26/TH V02/I C35/NG SOMETIMES,C28V04C33C18V07C33C29,C28/S V04/O_E C33/M C18/T V07/I C33/M C29/S SOMEWHAT,C28V04C33C36V04C18,C28/S V04/O_E C33/M C36/WH V04/A C18/T SON,C28V04C34,C28/S V04/O C34/N SONG,C28V11C35,C28/S V11/O C35/NG SOON,C28V09C34,C28/S V09/OO C34/N SORRY,C28V03C38V10,C28/S V03/O C38/RR V10/Y SORT,C28V11C38C18,C28/S V11/O C38/R C18/T SOUL,C28V08C37,C28/S V08/OU C37/L SOUND,C28V13C34C19,C28/S V13/OU C34/N C19/D SOURCE,C28V11C38C28,C28/S V11/OU_E C38/R C28/C SOUTH,C28V13C26,C28/S V13/OU C26/TH SPACE,C28C16V06C28,C28/S C16/P V06/A_E C28/C SPARE,C28C16V05C38,C28/S C16/P V05/A_E C38/R SPEAK,C28C16V10C22,C28/S C16/P V10/EA C22/K SPECIAL,C28C16V05C30V04C37,C28/S C16/P V05/E C30/C V04/IA C37/L SPECIALIST,C28C16V05C30V04C37V02C28C18,C28/S C16/P V05/E C30/C V04/IA C37/L V02/I C28/S C18/T SPECIFIC,C28C16V04C28V02C24V02C22,C28/S C16/P V04/E C28/C V02/I C24/F V02/I C22/C SPECIFY,C28C16V05C28V04C24V07,C28/S C16/P V05/E C28/C V04/I C24/F V07/Y SPEECH,C28C16V10C20,C28/S C16/P V10/E_E C20/CH SPEED,C28C16V10C19,C28/S C16/P V10/E_E C19/D SPELL,C28C16V05C37,C28/S C16/P V05/E C37/LL SPEND,C28C16V05C34C19,C28/S C16/P V05/E C34/N C19/D SPIN,C28C16V02C34,C28/S C16/P V02/I C34/N SPIRIT,C28C16V02C38V04C18,C28/S C16/P V02/I C38/R V04/I C18/T SPLIT,C28C16C37V02C18,C28/S C16/P C37/L V02/I C18/T SPONSOR,C28C16V03C34C28V15,C28/S C16/P V03/O C34/N C28/S V15/OR SPORT,C28C16V11C38C18,C28/S C16/P V11/O C38/R C18/T SPOT,C28C16V03C18,C28/S C16/P V03/O C18/T SPREAD,C28C16C38V05C19,C28/S C16/P C38/R V05/EA C19/D SPRING,C28C16C38V02C35,C28/S C16/P C38/R V02/I C35/NG SQUARE,C28C22C36V05C38,C28/S C22/Q C36/U V05/A_E C38/R STABILITY,C28C18V04C17V02C37V02C18V10,C28/S C18/T V04/A C17/B V02/I C37/L V02/I C18/T V10/Y STABLE,C28C18V06C17V04C37,C28/S C18/T V06/A C17/B V04/~ C37/L~ STAFF,C28C18V01C24,C28/S C18/T V01/A C24/FF STAGE,C28C18V06C21,C28/S C18/T V06/A_E C21/G STAIN,C28C18V06C34,C28/S C18/T V06/AI C34/N STAIR,C28C18V05C38,C28/S C18/T V05/AI C38/R STAKE,C28C18V06C22,C28/S C18/T V06/A_E C22/K STAMP,C28C18V01C33C16,C28/S C18/T V01/A C33/M C16/P STAND,C28C18V01C34C19,C28/S C18/T V01/A C34/N C19/D STANDARD,C28C18V01C34C19V15C19,C28/S C18/T V01/A C34/N C19/D V15/AR C19/D STAR,C28C18V03C38,C28/S C18/T V03/A C38/R STARE,C28C18V05C38,C28/S C18/T V05/A_E C38/R START,C28C18V03C38C18,C28/S C18/T V03/A C38/R C18/T STATE,C28C18V06C18,C28/S C18/T V06/A_E C18/T STATEMENT,C28C18V06C18C33V04C34C18,C28/S C18/T V06/A_E C18/T C33/M V04/+ C34/N C18/T STATION,C28C18V06C30V04C34,C28/S C18/T V06/A C30/T V04/IO C34/N STATISTIC,C28C18V04C18V02C28C18V02C22,C28/S C18/T V04/A C18/T V02/I C28/S C18/T V02/I C22/C STATUS,C28C18V01C18V04C28,C28/S C18/T V01/A C18/T V04/U C28/S STAY,C28C18V06,C28/S C18/T V06/AY STEADY,C28C18V05C19V10,C28/S C18/T V05/EA C19/D V10/Y STEAL,C28C18V10C37,C28/S C18/T V10/EA C37/L STEEL,C28C18V10C37,C28/S C18/T V10/E_E C37/L STEM,C28C18V05C33,C28/S C18/T V05/E C33/M STEP,C28C18V05C16,C28/S C18/T V05/E C16/P STICK,C28C18V02C22,C28/S C18/T V02/I C22/CK STILL,C28C18V02C37,C28/S C18/T V02/I C37/LL STIMULATE,C28C18V02C33C39V04C37V06C18,C28/S C18/T V02/I C33/M C39/U V04/+ C37/L V06/A_E C18/T STIR,C28C18V15,C28/S C18/T V15/IR STOCK,C28C18V03C22,C28/S C18/T V03/O C22/CK STOMACH,C28C18V04C33V04C22,C28/S C18/T V04/O C33/M V04/A C22/CH STONE,C28C18V08C34,C28/S C18/T V08/O_E C34/N STOP,C28C18V03C16,C28/S C18/T V03/O C16/P STORAGE,C28C18V11C38V04C21,C28/S C18/T V11/O C38/R V04/A_E C21/G STORE,C28C18V11C38,C28/S C18/T V11/O_E C38/R STORM,C28C18V11C38C33,C28/S C18/T V11/O C38/R C33/M STORY,C28C18V11C38V10,C28/S C18/T V11/O C38/R V10/Y STRAIN,C28C18C38V06C34,C28/S C18/T C38/R V06/AI C34/N STRANGE,C28C18C38V06C34C21,C28/S C18/T C38/R V06/A_E C34/N C21/G STRATEGY,C28C18C38V01C18V04C21V10,C28/S C18/T C38/R V01/A C18/T V04/E C21/G V10/Y STREAM,C28C18C38V10C33,C28/S C18/T C38/R V10/EA C33/M STREET,C28C18C38V10C18,C28/S C18/T C38/R V10/E_E C18/T STRENGTHEN,C28C18C38V05C35C26V04C34,C28/S C18/T C38/R V05/E C35/NG C26/TH V04/E C34/N STRESS,C28C18C38V05C28,C28/S C18/T C38/R V05/E C28/SS STRETCH,C28C18C38V05C20,C28/S C18/T C38/R V05/E C20/TCH STRICT,C28C18C38V02C22C18,C28/S C18/T C38/R V02/I C22/C C18/T STRIKE,C28C18C38V07C22,C28/S C18/T C38/R V07/I_E C22/K STRING,C28C18C38V02C35,C28/S C18/T C38/R V02/I C35/NG STRIP,C28C18C38V02C16,C28/S C18/T C38/R V02/I C16/P STROKE,C28C18C38V08C22,C28/S C18/T C38/R V08/O_E C22/K STRONG,C28C18C38V11C35,C28/S C18/T C38/R V11/O C35/NG STRUCTURE,C28C18C38V04C22C20V15,C28/S C18/T C38/R V04/U C22/C C20/T V15/UR_E STRUGGLE,C28C18C38V04C23V04C37,C28/S C18/T C38/R V04/U C23/GG V04/~ C37/L~ STUDENT,C28C18V09C19V04C34C18,C28/S C18/T V09/U C19/D V04/E C34/N C18/T STUDIO,C28C18V09C19V10V08,C28/S C18/T V09/U C19/D V10/I V08/O STUDY,C28C18V04C19V10,C28/S C18/T V04/U C19/D V10/Y STUFF,C28C18V04C24,C28/S C18/T V04/U C24/FF STUPID,C28C18V09C16V04C19,C28/S C18/T V09/U C16/P V04/I C19/D STYLE,C28C18V07C37,C28/S C18/T V07/Y_E C37/L SUBJECT,C28V04C17C21V05C22C18,C28/S V04/U C17/B C21/J V05/E C22/C C18/T SUBMIT,C28V04C17C33V02C18,C28/S V04/U C17/B C33/M V02/I C18/T SUBSEQUENT,C28V04C17C28V04C22C36V04C34C18,C28/S V04/U C17/B C28/S V04/E C22/Q C36/U V04/E C34/N C18/T SUBSEQUENTLY,C28V04C17C28V04C22C36V04C34C18C37V10,C28/S V04/U C17/B C28/S V04/E C22/Q C36/U V04/E C34/N C18/T C37/L V10/Y SUBSTANCE,C28V04C17C28C18V04C34C28,C28/S V04/U C17/B C28/S C18/T V04/A_E C34/N C28/C SUBSTANTIAL,C28V04C17C28C18V01C34C30V04C37,C28/S V04/U C17/B C28/S C18/T V01/A C34/N C30/T V04/IA C37/L SUBSTITUTE,C28V04C17C28C18V04C18V09C18,C28/S V04/U C17/B C28/S C18/T V04/I C18/T V09/U_E C18/T SUCCEED,C28V04C22C28V10C19,C28/S V04/U C22/C C28/C V10/E_E C19/D SUCCESS,C28V04C22C28V05C28,C28/S V04/U C22/C C28/C V05/E C28/SS SUCCESSFUL,C28V04C22C28V05C28C24V04C37,C28/S V04/U C22/C C28/C V05/E C28/SS C24/F V04/U C37/L SUCCESSFULLY,C28V04C22C28V05C28C24V04C37V10,C28/S V04/U C22/C C28/C V05/E C28/SS C24/F V04/U C37/LL V10/Y SUCH,C28V04C20,C28/S V04/U C20/CH SUDDEN,C28V04C19V04C34,C28/S V04/U C19/DD V04/E C34/N SUDDENLY,C28V04C19V04C34C37V10,C28/S V04/U C19/DD V04/E C34/N C37/L V10/Y SUFFER,C28V04C24V15,C28/S V04/U C24/FF V15/ER SUFFICIENT,C28V04C24V02C30V04C34C18,C28/S V04/U C24/FF V02/I C30/C V04/I_E C34/N C18/T SUGAR,C30V12C23V15,C30/S V12/U C23/G V15/AR SUGGEST,C28V04C21V05C28C18,C28/S V04/U C21/GG V05/E C28/S C18/T SUGGESTION,C28V04C21V05C28C20V04C34,C28/S V04/U C21/GG V05/E C28/S C20/T V04/IO C34/N SUIT,C28V09C18,C28/S V09/UI C18/T SUITABLE,C28V09C18V04C17V04C37,C28/S V09/UI C18/T V04/A C17/B V04/~ C37/L~ SUM,C28V04C33,C28/S V04/U C33/M SUMMARIZE,C28V04C33V15V07C29,C28/S V04/U C33/MM V15/AR V07/I_E C29/Z SUMMARY,C28V04C33V15V10,C28/S V04/U C33/MM V15/AR V10/Y SUMMER,C28V04C33V15,C28/S V04/U C33/MM V15/ER SUN,C28V04C34,C28/S V04/U C34/N SUPPLEMENT,C28V04C16C37V04C33V04C34C18,C28/S V04/U C16/PP C37/L V04/E C33/M V04/E C34/N C18/T SUPPLY,C28V04C16C37V07,C28/S V04/U C16/PP C37/L V07/Y SUPPORT,C28V04C16V11C38C18,C28/S V04/U C16/PP V11/O C38/R C18/T SUPPOSE,C28V04C16V08C29,C28/S V04/U C16/PP V08/O_E C29/S SURE,C30V12C38,C30/S V12/U_E C38/R SURELY,C30V12C38C37V10,C30/S V12/U_E C38/R C37/L V10/Y SURFACE,C28V15C24V04C28,C28/S V15/UR C24/F V04/A_E C28/C SURPRISE,C28V15C16C38V07C29,C28/S V15/UR C16/P C38/R V07/I_E C29/S SURPRISINGLY,C28V15C16C38V07C29V02C35C37V10,C28/S V15/UR C16/P C38/R V07/I C29/S V02/I C35/NG C37/L V10/Y SURROUND,C28V15V13C34C19,C28/S V15/URR V13/OU C34/N C19/D SURVIVAL,C28V15C25V07C25V04C37,C28/S V15/UR C25/V V07/I C25/V V04/A C37/L SURVIVE,C28V15C25V07C25,C28/S V15/UR C25/V V07/I_E C25/V SUSPECT,C28V04C28C16V05C22C18,C28/S V04/U C28/S C16/P V05/E C22/C C18/T SUSPEND,C28V04C28C16V05C34C19,C28/S V04/U C28/S C16/P V05/E C34/N C19/D SUSTAIN,C28V04C28C18V06C34,C28/S V04/U C28/S C18/T V06/AI C34/N SWEAR,C28C36V05C38,C28/S C36/W V05/EA C38/R SWEEP,C28C36V10C16,C28/S C36/W V10/E_E C16/P SWEET,C28C36V10C18,C28/S C36/W V10/E_E C18/T SWIM,C28C36V02C33,C28/S C36/W V02/I C33/M SWING,C28C36V02C35,C28/S C36/W V02/I C35/NG SWITCH,C28C36V02C20,C28/S C36/W V02/I C20/TCH SYMBOL,C28V02C33C17V04C37,C28/S V02/Y C33/M C17/B V04/O C37/L SYMPTOM,C28V02C33C16C18V04C33,C28/S V02/Y C33/M C16/P C18/T V04/O C33/M SYSTEM,C28V02C28C18V04C33,C28/S V02/Y C28/S C18/T V04/E C33/M """ for item in data.split("\n"): items = item.split(',') if len(items) == 3: new_word = Word(word=items[0], phonemestring=items[1], phonemes=items[2]) new_word.put() return "Data Added 3" @app.route('/add4') def add4(): """Add some data""" data = """TABLE,C18V06C17V04C37,C18/T V06/A C17/B V04/~ C37/L~ TACKLE,C18V01C22V04C37,C18/T V01/A C22/CK V04/~ C37/L~ TAIL,C18V06C37,C18/T V06/AI C37/L TAKE,C18V06C22,C18/T V06/A_E C22/K TALE,C18V06C37,C18/T V06/A_E C37/L TALENT,C18V01C37V04C34C18,C18/T V01/A C37/L V04/E C34/N C18/T TALK,C18V11C22,C18/T V11/A C22/LK TALL,C18V11C37,C18/T V11/A C37/LL TANK,C18V01C35C22,C18/T V01/A C35/N C22/K TAP,C18V01C16,C18/T V01/A C16/P TAPE,C18V06C16,C18/T V06/A_E C16/P TARGET,C18V03C38C23V04C18,C18/T V03/A C38/R C23/G V04/E C18/T TASK,C18V01C28C22,C18/T V01/A C28/S C22/K TASTE,C18V06C28C18,C18/T V06/A_E C28/S C18/T TAX,C18V01C22C28,C18/T V01/A C22/X C28/+ TAXI,C18V01C22C28V10,C18/T V01/A C22/X C28/+ V10/I TEA,C18V10,C18/T V10/EA TEACH,C18V10C20,C18/T V10/EA C20/CH TEAM,C18V10C33,C18/T V10/EA C33/M TEAR,C18V05C38,C18/T V05/EA C38/R TECHNICAL,C18V05C22C34V02C22V04C37,C18/T V05/E C22/CH C34/N V02/I C22/C V04/A C37/L TECHNOLOGY,C18V05C22C34V03C37V04C21V10,C18/T V05/E C22/CH C34/N V03/O C37/L V04/O C21/G V10/Y TEENAGER,C18V10C34V06C21V15,C18/T V10/E_E C34/N V06/A C21/G V15/R TELEVISION,C18V05C37V04C25V02C31V04C34,C18/T V05/E C37/L V04/E C25/V V02/I C31/S V04/IO C34/N TELL,C18V05C37,C18/T V05/E C37/LL TEMPORARY,C18V05C33C16V15V05C38V10,C18/T V05/E C33/M C16/P V15/OR V05/A C38/R V10/Y TEND,C18V05C34C19,C18/T V05/E C34/N C19/D TENDENCY,C18V05C34C19V04C34C28V10,C18/T V05/E C34/N C19/D V04/E C34/N C28/C V10/Y TENNIS,C18V05C34V04C28,C18/T V05/E C34/NN V04/I C28/S TENSION,C18V05C34C30V04C34,C18/T V05/E C34/N C30/S V04/IO C34/N TENT,C18V05C34C18,C18/T V05/E C34/N C18/T TERRIBLE,C18V05C38V04C17V04C37,C18/T V05/E C38/RR V04/I C17/B V04/~ C37/L~ TERRITORY,C18V05C38V02C18V11C38V10,C18/T V05/E C38/RR V02/I C18/T V11/O C38/R V10/Y TERRORIST,C18V05C38V04C38V02C28C18,C18/T V05/E C38/RR V04/O C38/R V02/I C28/S C18/T TEST,C18V05C28C18,C18/T V05/E C28/S C18/T TEXT,C18V05C22C28C18,C18/T V05/E C22/X C28/+ C18/T THAN,C27V01C34,C27/TH V01/A C34/N THANK,C26V01C35C22,C26/TH V01/A C35/N C22/K THAT,C27V01C18,C27/TH V01/A C18/T THEM,C27V05C33,C27/TH V05/E C33/M THEN,C27V05C34,C27/TH V05/E C34/N THEORY,C26V02C38V10,C26/TH V02/O_E C38/R V10/Y THERAPY,C26V05C38V04C16V10,C26/TH V05/E C38/R V04/A C16/P V10/Y THEY,C27V06,C27/TH V06/EY THICK,C26V02C22,C26/TH V02/I C22/CK THIN,C26V02C34,C26/TH V02/I C34/N THING,C26V02C35,C26/TH V02/I C35/NG THINK,C26V02C35C22,C26/TH V02/I C35/N C22/K THIRST,C26V15C28C18,C26/TH V15/IR C28/S C18/T THIS,C27V02C28,C27/TH V02/I C28/S THOSE,C27V08C29,C27/TH V08/O_E C29/S THREAT,C26C38V05C18,C26/TH C38/R V05/EA C18/T THREATEN,C26C38V05C18V04C34,C26/TH C38/R V05/EA C18/T V04/E C34/N THROAT,C26C38V08C18,C26/TH C38/R V08/OA C18/T THROW,C26C38V08,C26/TH C38/R V08/OW THUS,C27V04C28,C27/TH V04/U C28/S TICKET,C18V02C22V04C18,C18/T V02/I C22/CK V04/E C18/T TIE,C18V07,C18/T V07/I_E TIGHT,C18V07C18,C18/T V07/IGH C18/T TILL,C18V02C37,C18/T V02/I C37/LL TIME,C18V07C33,C18/T V07/I_E C33/M TINY,C18V07C34V10,C18/T V07/I C34/N V10/Y TIP,C18V02C16,C18/T V02/I C16/P TIRE,C18V07V15,C18/T V07/I V15/R_E TITLE,C18V07C18V04C37,C18/T V07/I C18/T V04/~ C37/L~ TODAY,C18V04C19V06,C18/T V04/O C19/D V06/AY TOMORROW,C18V04C33V03C38V08,C18/T V04/O C33/M V03/O C38/RR V08/OW TONE,C18V08C34,C18/T V08/O_E C34/N TONGUE,C18V04C35,C18/T V04/O C35/NGUE TONIGHT,C18V04C34V07C18,C18/T V04/O C34/N V07/IGH C18/T TOO,C18V09,C18/T V09/OO TOOL,C18V09C37,C18/T V09/OO C37/L TOOTH,C18V09C26,C18/T V09/OO C26/TH TOP,C18V03C16,C18/T V03/O C16/P TOPIC,C18V03C16V02C22,C18/T V03/O C16/P V02/I C22/C TOTAL,C18V08C18V04C37,C18/T V08/O C18/T V04/A C37/L TOTALLY,C18V08C18V04C37V10,C18/T V08/O C18/T V04/A C37/LL V10/Y TOUCH,C18V04C20,C18/T V04/OU C20/CH TOUGH,C18V04C24,C18/T V04/OU C24/GH TOUR,C18V12C38,C18/T V12/OU C38/R TOURISM,C18V12C38V02C29V04C33,C18/T V12/OU C38/R V02/I C29/S V04/+ C33/M TOURIST,C18V12C38V04C28C18,C18/T V12/OU C38/R V04/I C28/S C18/T TOWARD,C18V04C36V11C38C19,C18/T V04/O C36/W V11/A C38/R C19/D TOWN,C18V13C34,C18/T V13/OW C34/N TOY,C18V14,C18/T V14/OY TRACE,C18C38V06C28,C18/T C38/R V06/A_E C28/C TRACK,C18C38V01C22,C18/T C38/R V01/A C22/CK TRADE,C18C38V06C19,C18/T C38/R V06/A_E C19/D TRADITION,C18C38V04C19V02C30V04C34,C18/T C38/R V04/A C19/D V02/I C30/T V04/IO C34/N TRADITIONAL,C18C38V04C19V02C30V04C34V04C37,C18/T C38/R V04/A C19/D V02/I C30/T V04/IO C34/N V04/A C37/L TRAFFIC,C18C38V01C24V02C22,C18/T C38/R V01/A C24/FF V02/I C22/C TRAIL,C18C38V06C37,C18/T C38/R V06/AI C37/L TRAIN,C18C38V06C34,C18/T C38/R V06/AI C34/N TRANSFORM,C18C38V01C34C28C24V11C38C33,C18/T C38/R V01/A C34/N C28/S C24/F V11/O C38/R C33/M TRANSITION,C18C38V01C34C29V02C30V04C34,C18/T C38/R V01/A C34/N C29/S V02/I C30/T V04/IO C34/N TRANSLATE,C18C38V01C34C29C37V06C18,C18/T C38/R V01/A C34/N C29/S C37/L V06/A_E C18/T TRANSPORT,C18C38V01C34C28C16V11C38C18,C18/T C38/R V01/A C34/N C28/S C16/P V11/O C38/R C18/T TRANSPORTATION,C18C38V01C34C28C16V15C18V06C30V04C34,C18/T C38/R V01/A C34/N C28/S C16/P V15/OR C18/T V06/A C30/T V04/IO C34/N TRAP,C18C38V01C16,C18/T C38/R V01/A C16/P TRAVEL,C18C38V01C25V04C37,C18/T C38/R V01/A C25/V V04/E C37/L TREAT,C18C38V10C18,C18/T C38/R V10/EA C18/T TREATMENT,C18C38V10C18C33V04C34C18,C18/T C38/R V10/EA C18/T C33/M V04/E C34/N C18/T TREE,C18C38V10,C18/T C38/R V10/E_E TREND,C18C38V05C34C19,C18/T C38/R V05/E C34/N C19/D TRIAL,C18C38V07V04C37,C18/T C38/R V07/I V04/A C37/L TRICK,C18C38V02C22,C18/T C38/R V02/I C22/CK TRIGGER,C18C38V02C23V15,C18/T C38/R V02/I C23/GG V15/ER TRIP,C18C38V02C16,C18/T C38/R V02/I C16/P TROOP,C18C38V09C16,C18/T C38/R V09/OO C16/P TROUBLE,C18C38V04C17V04C37,C18/T C38/R V04/OU C17/B V04/~ C37/L~ TRUCK,C18C38V04C22,C18/T C38/R V04/U C22/CK TRUE,C18C38V09,C18/T C38/R V09/U_E TRULY,C18C38V09C37V10,C18/T C38/R V09/U C37/L V10/Y TRUST,C18C38V04C28C18,C18/T C38/R V04/U C28/S C18/T TRUTH,C18C38V09C26,C18/T C38/R V09/U C26/TH TRY,C18C38V07,C18/T C38/R V07/Y TUBE,C18V09C17,C18/T V09/U_E C17/B TUNE,C18V09C34,C18/T V09/U_E C34/N TURN,C18V15C34,C18/T V15/UR C34/N TWICE,C18C36V07C28,C18/T C36/W V07/I_E C28/C TWIN,C18C36V02C34,C18/T C36/W V02/I C34/N TWIST,C18C36V02C28C18,C18/T C36/W V02/I C28/S C18/T TYPE,C18V07C16,C18/T V07/Y_E C16/P TYPICAL,C18V02C16V04C22V04C37,C18/T V02/Y C16/P V04/I C22/C V04/A C37/L TYPICALLY,C18V02C16V02C22C37V10,C18/T V02/Y C16/P V02/I C22/C C37/ALL V10/Y UGLY,V04C23C37V10,V04/U C23/G C37/L V10/Y ULTIMATELY,V04C37C18V04C33V04C18C37V10,V04/U C37/L C18/T V04/I C33/M V04/A_E C18/T C37/L V10/Y UNABLE,V04C34V06C17V04C37,V04/U C34/N V06/A C17/B V04/~ C37/L~ UNCLE,V04C35C22V04C37,V04/U C35/N C22/C V04/~ C37/L~ UNCLEAR,V04C34C22C37V02C38,V04/U_E C34/N C22/C C37/L V02/A C38/R UNEMPLOYMENT,V04C34V02C33C16C37V14C33V04C34C18,V04/U C34/N V02/E C33/M C16/P C37/L V14/OY C33/M V04/E C34/N C18/T UNFORTUNATELY,V04C34C24V11C38C20V04C34V04C18C37V10,V04/U C34/N C24/F V11/O C38/R C20/T V04/U C34/N V04/A_E C18/T C37/L V10/Y UNIFORM,C39V09C34V04C24V11C38C33,C39/U V09/+ C34/N V04/I C24/F V11/O C38/R C33/M UNION,C39V09C34C39V04C34,C39/U V09/+ C34/N C39/I V04/O C34/N UNIQUE,C39V09C34V10C22,C39/U V09/+ C34/N V10/I_E C22/QU UNIT,C39V09C34V04C18,C39/U V09/+ C34/N V04/I C18/T UNITE,C39V09C34V07C18,C39/U V09/+ C34/N V07/I_E C18/T UNKNOWN,V04C34C34V08C34,V04/U C34/N C34/KN V08/OW C34/N UNLESS,V04C34C37V05C28,V04/U C34/N C37/L V05/E C28/SS UNLIKE,V04C34C37V07C22,V04/U C34/N C37/L V07/I_E C22/K UNLIKELY,V04C34C37V07C22C37V10,V04/U C34/N C37/L V07/I_E C22/K C37/L V10/Y UNTIL,V04C34C18V02C37,V04/U C34/N C18/T V02/I C37/L UNUSUAL,V04C34C39V09C31V09V04C37,V04/U C34/N C39/U V09/+ C31/S V09/U V04/A C37/L UPDATE,V04C16C19V06C18,V04/U C16/P C19/D V06/A_E C18/T UPON,V04C16V03C34,V04/U C16/P V03/O C34/N UPPER,V04C16V15,V04/U C16/PP V15/ER UPSET,V04C16C28V05C18,V04/U C16/P C28/S V05/E C18/T URBAN,V15C17V04C34,V15/UR C17/B V04/A C34/N URGE,V15C21,V15/UR_E C21/G USE,C39V09C28,C39/U V09/+ C28/S USEFUL,C39V09C28C24V04C37,C39/U V09/+ C28/S C24/F V04/U C37/L VALLEY,C25V01C37V10,C25/V V01/A C37/LL V10/EY VAN,C25V01C34,C25/V V01/A C34/N VARIABLE,C25V05C38V10V04C17V04C37,C25/V V05/A C38/R V10/I V04/A C17/B V04/~ C37/L~ VARIATION,C25V05C38V10V06C30V04C34,C25/V V05/A C38/R V10/I V06/A C30/T V04/IO C34/N VARIETY,C25V15V07V04C18V10,C25/V V15/AR V07/I V04/E C18/T V10/Y VARIOUS,C25V05C38V10V04C28,C25/V V05/A C38/R V10/I V04/OU C28/S VARY,C25V05C38V10,C25/V V05/A C38/R V10/Y VAST,C25V01C28C18,C25/V V01/A C28/S C18/T VEHICLE,C25V10C32V02C22V04C37,C25/V V10/E C32/H V02/I C22/C V04/~ C37/L~ VERY,C25V05C38V10,C25/V V05/E C38/R V10/Y VESSEL,C25V05C28V04C37,C25/V V05/E C28/SS V04/E C37/L VIA,C25V07V04,C25/V V07/I V04/A VICE,C25V07C28,C25/V V07/I_E C28/C VICTIM,C25V02C22C18V02C33,C25/V V02/I C22/C C18/T V02/I C33/M VICTORY,C25V02C22C18V04C38V10,C25/V V02/I C22/C C18/T V04/O C38/R V10/Y VIDEO,C25V02C19V10V08,C25/V V02/I C19/D V10/E V08/O VILLAGE,C25V02C37V04C21,C25/V V02/I C37/LL V04/A_E C21/G VIOLENCE,C25V07V04C37V04C34C28,C25/V V07/I V04/O C37/L V04/+ C34/N C28/C VIOLENT,C25V07V04C37V04C34C18,C25/V V07/I V04/O C37/L V04/E C34/N C18/T VIRTUALLY,C25V15C20V09V04C37V10,C25/V V15/IR C20/T V09/U V04/A C37/LL V10/Y VIRUS,C25V07C38V04C28,C25/V V07/I C38/R V04/U C28/S VISIBLE,C25V02C29V04C17V04C37,C25/V V02/I C29/S V04/I C17/B V04/~ C37/L~ VISION,C25V02C31V04C34,C25/V V02/I C31/S V04/IO C34/N VISIT,C25V02C29V02C18,C25/V V02/I C29/S V02/I C18/T VISITOR,C25V02C29V02C18V15,C25/V V02/I C29/S V02/I C18/T V15/OR VITAL,C25V07C18V04C37,C25/V V07/I C18/T V04/A C37/L VOICE,C25V14C28,C25/V V14/OI_E C28/C VOLUME,C25V03C37C39V09C33,C25/V V03/O C37/L C39/U V09/+ C33/M VOLUNTARY,C25V03C37V04C34C18V05C38V10,C25/V V03/O C37/L V04/U C34/N C18/T V05/A C38/R V10/Y VOLUNTEER,C25V03C37V04C34C18V02C38,C25/V V03/O C37/L V04/U C34/N C18/T V02/E_E C38/R VOTE,C25V08C18,C25/V V08/O_E C18/T WAGE,C36V06C21,C36/W V06/A_E C21/G WAIT,C36V06C18,C36/W V06/AI C18/T WAKE,C36V06C22,C36/W V06/A_E C22/K WALK,C36V11C22,C36/W V11/A C22/LK WALL,C36V11C37,C36/W V11/A C37/LL WANT,C36V03C34C18,C36/W V03/A C34/N C18/T WAR,C36V11C38,C36/W V11/A C38/R WARM,C36V11C38C33,C36/W V11/A C38/R C33/M WARN,C36V11C38C34,C36/W V11/A C38/R C34/N WASH,C36V03C30,C36/W V03/A C30/SH WASTE,C36V06C28C18,C36/W V06/A_E C28/S C18/T WATCH,C36V03C20,C36/W V03/A C20/TCH WAVE,C36V06C25,C36/W V06/A_E C25/V WAY,C36V06,C36/W V06/AY WEAK,C36V10C22,C36/W V10/EA C22/K WEAKNESS,C36V10C22C34V04C28,C36/W V10/EA C22/K C34/N V04/E C28/SS WEALTH,C36V05C37C26,C36/W V05/EA C37/L C26/TH WEALTHY,C36V05C37C26V10,C36/W V05/EA C37/L C26/TH V10/Y WEAPON,C36V05C16V04C34,C36/W V05/EA C16/P V04/O C34/N WEAR,C36V05C38,C36/W V05/EA C38/R WEB,C36V05C17,C36/W V05/E C17/B WED,C36V05C19,C36/W V05/E C19/D WEEK,C36V10C22,C36/W V10/E_E C22/K WEEKLY,C36V10C22C37V10,C36/W V10/E_E C22/K C37/L V10/Y WEIGH,C36V06,C36/W V06/EIGH WEIGHT,C36V06C18,C36/W V06/EIGH C18/T WEIRD,C36V02C38C19,C36/W V02/I_E C38/R C19/D WELL,C36V05C37,C36/W V05/E C37/LL WEST,C36V05C28C18,C36/W V05/E C28/S C18/T WET,C36V05C18,C36/W V05/E C18/T WHAT,C36V04C18,C36/W V04/HA C18/T WHO,C32V09,C32/WH V09/O WHOLE,C32V08C37,C32/WH V08/O_E C37/L WHOM,C32V09C33,C32/WH V09/O C33/M WHOSE,C32V09C29,C32/WH V09/O_E C29/S WIDE,C36V07C19,C36/W V07/I_E C19/D WIDELY,C36V07C19C37V10,C36/W V07/I_E C19/D C37/L V10/Y WIFE,C36V07C24,C36/W V07/I_E C24/F WILD,C36V07C37C19,C36/W V07/I C37/L C19/D WILL,C36V02C37,C36/W V02/I C37/LL WIN,C36V02C34,C36/W V02/I C34/N WIND,C36V07C34C19,C36/W V07/I C34/N C19/D WINDOW,C36V02C34C19V08,C36/W V02/I C34/N C19/D V08/OW WINE,C36V07C34,C36/W V07/I_E C34/N WING,C36V02C35,C36/W V02/I C35/NG WINNER,C36V02C34V15,C36/W V02/I C34/NN V15/ER WIPE,C36V07C16,C36/W V07/I_E C16/P WIRE,C36V07V15,C36/W V07/I V15/R_E WISE,C36V07C29,C36/W V07/I_E C29/S WISH,C36V02C30,C36/W V02/I C30/SH WITH,C36V02C27,C36/W V02/I C27/TH WITHDRAW,C36V02C27C19C38V11,C36/W V02/I C27/TH C19/D C38/R V11/AW WITHIN,C36V02C27V02C34,C36/W V02/I C27/TH V02/I C34/N WITHOUT,C36V02C26V13C18,C36/W V02/I C26/TH V13/OU C18/T WITNESS,C36V02C18C34V04C28,C36/W V02/I C18/T C34/N V04/E C28/SS WOMAN,C36V12C33V04C34,C36/W V12/O C33/M V04/A C34/N WOOD,C36V12C19,C36/W V12/OO C19/D WOODEN,C36V12C19V04C34,C36/W V12/OO C19/D V04/E C34/N WORD,C36V15C19,C36/W V15/OR C19/D WORK,C36V15C22,C36/W V15/OR C22/K WORLD,C36V15C37C19,C36/W V15/OR C37/L C19/D WORRY,C36V15V10,C36/W V15/ORR V10/Y WORTH,C36V15C26,C36/W V15/OR C26/TH WOULD,C36V12C19,C36/W V12/OU C19/LD WOUND,C36V13C34C19,C36/W V13/OU C34/N C19/D WRAP,C38V01C16,C38/WR V01/A C16/P WRITE,C38V07C18,C38/WR V07/I_E C18/T WRONG,C38V11C35,C38/WR V11/O C35/NG YARD,C39V03C38C19,C39/Y V03/A C38/R C19/D YEAR,C39V02C38,C39/Y V02/EA C38/R YELLOW,C39V05C37V08,C39/Y V05/E C37/LL V08/OW YES,C39V05C28,C39/Y V05/E C28/S YET,C39V05C18,C39/Y V05/E C18/T YIELD,C39V10C37C19,C39/Y V10/I_E C37/L C19/D YOU,C39V09,C39/Y V09/OU YOUNG,C39V04C35,C39/Y V04/OU C35/NG YOUR,C39V11C38,C39/Y V11/OU C38/R YOURSELF,C39V15C28V05C37C24,C39/Y V15/OUR C28/S V05/E C37/L C24/F YOUTH,C39V09C26,C39/Y V09/OU C26/TH ZERO,C29V10C38V08,C29/Z V10/E C38/R V08/O ZONE,C29V08C34,C29/Z V08/O_E C34/N """ for item in data.split("\n"): items = item.split(',') if len(items) == 3: new_word = Word(word=items[0], phonemestring=items[1], phonemes=items[2]) new_word.put() return "Data Added 4" @app.route('/') def hello(): """Return a friendly HTTP greeting.""" # return "Hello GDG Auckland" return redirect("/js/english_sound_map.html", code=302) @app.errorhandler(404) def page_not_found(e): """Return a custom 404 error.""" return 'Sorry, nothing at this URL.', 404

56.196303

141

0.773132

28,332

127,678

3.466187

0.160596

0.036495

0.01171

0.014338

0.411185

0.368121

0.27171

0.232862

0.16261

0.144424

0

0.403871

0.096023

127,678

2,271

142

56.221048

0.446984

0.002867

0

0.013321

0

0.39032

0.983381

0.432573

0

1

0.003552

false

0.001332

0.00222

0

0.011101

0

null

0

1

0

1

0

1

null

0

5

a5a3d6529e3e7a3d1e2b316e24e98007605b3521

70

py

Python

intensity_normalization/utilities/__init__.py

sarthakpati/intensity-normalization

5f2fc9ea3f305a3bd214b6f42fd8b1664a3ecbdc

[ "Apache-2.0" ]

null

intensity_normalization/utilities/__init__.py

sarthakpati/intensity-normalization

5f2fc9ea3f305a3bd214b6f42fd8b1664a3ecbdc

[ "Apache-2.0" ]

null

intensity_normalization/utilities/__init__.py

sarthakpati/intensity-normalization

5f2fc9ea3f305a3bd214b6f42fd8b1664a3ecbdc

[ "Apache-2.0" ]

null

from intensity_normalization.utilities import io, mask, hist, quality

35

69

0.842857

9

70

6.444444

1

0

0.1

70

1

70

0.920635

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a5a61742bd0e10c383c0a10d6863e1b042c7f3a3

44

py

Python

lab4sm/main.py

remalefica/SystemModeling_KPI

354a5f5141872202c2532a9562f1bddb7e4b0ca7

[ "MIT" ]

null

lab4sm/main.py

remalefica/SystemModeling_KPI

354a5f5141872202c2532a9562f1bddb7e4b0ca7

[ "MIT" ]

null

lab4sm/main.py

remalefica/SystemModeling_KPI

354a5f5141872202c2532a9562f1bddb7e4b0ca7

[ "MIT" ]

null

import bank.bank_task as bt bt.task_bank()

11

27

0.772727

9

44

3.555556

0.555556

0

0.136364

44

3

28

14.666667

0.842105

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a5a829efb10893f87a4816757a9b6ab8e19ff391

77

py

Python

xclim/core/__init__.py

Ouranosinc/dcvar

0737c66a36f8969e7a17276990bc7e76f7b410c4

[ "Apache-2.0" ]

1

2018-08-20T16:36:40.000Z

xclim/core/__init__.py

Ouranosinc/dcvar

0737c66a36f8969e7a17276990bc7e76f7b410c4

[ "Apache-2.0" ]

3

2018-08-23T13:25:47.000Z

2018-08-23T15:59:45.000Z

xclim/core/__init__.py

Ouranosinc/dcvar

0737c66a36f8969e7a17276990bc7e76f7b410c4

[ "Apache-2.0" ]

null

"""Core module.""" from __future__ import annotations from . import missing

15.4

34

0.753247

9

77

6

0.777778

0

0.142857

77

4

35

19.25

0.818182

0.155844

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a5ba2a51ffb4420c1298590ba3702dd9b915da41

150

py

Python

src/qgis_ros/__init__.py

acfrmarine/qgis_ros

01dd107f963b87df063bf2f11b0a484f4323cae9

[ "MIT" ]

31

2018-09-11T17:50:17.000Z

2021-09-13T11:48:47.000Z

src/qgis_ros/__init__.py

acfrmarine/qgis_ros

01dd107f963b87df063bf2f11b0a484f4323cae9

[ "MIT" ]

9

2018-09-11T00:45:23.000Z

2022-01-07T13:19:20.000Z

src/qgis_ros/__init__.py

acfrmarine/qgis_ros

01dd107f963b87df063bf2f11b0a484f4323cae9

[ "MIT" ]

9

2018-10-12T12:31:38.000Z

2021-06-05T02:52:44.000Z

# TODO: monkeypatch function. import sys sys.argv = [] def classFactory(iface): from .qgis_ros_toolbox import QgisRos return QgisRos(iface)

16.666667

41

0.733333

19

150

5.684211

0.789474

0

0.18

150

8

42

18.75

0.878049

0.18

0

0.125

0

1

0.2

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3c06cd655819d7d83bc426647bc4178e4beeea36

132

py

Python

vo/weixinwap/SpiderWeixinWapUrlInfoVO.py

genji9071/dark_spider

8213fc92791506a3b2c99b696cd12ae330208d99

[ "MIT" ]

null

vo/weixinwap/SpiderWeixinWapUrlInfoVO.py

genji9071/dark_spider

8213fc92791506a3b2c99b696cd12ae330208d99

[ "MIT" ]

null

vo/weixinwap/SpiderWeixinWapUrlInfoVO.py

genji9071/dark_spider

8213fc92791506a3b2c99b696cd12ae330208d99

[ "MIT" ]

null

from vo.SpiderBaseUrlInfoVO import SpiderBaseUrlInfoVO class SpiderWeixinWapUrlInfoVO(SpiderBaseUrlInfoVO): dummy: str = None

22

54

0.833333

11

132

10

0.818182

0

0.121212

132

5

55

26.4

0.948276

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

3c6dbb1ebc23e65387aaf69d53b16a848eafc1ca

2,824

py

Python

configs/datasets/rgb_cosod.py

Z1Wu/Py-SOD-VOS-EvalToolkit

badd10180b9a1f3061851c142e63247fd9c34954

[ "MIT" ]

null

configs/datasets/rgb_cosod.py

Z1Wu/Py-SOD-VOS-EvalToolkit

badd10180b9a1f3061851c142e63247fd9c34954

[ "MIT" ]

null

configs/datasets/rgb_cosod.py

Z1Wu/Py-SOD-VOS-EvalToolkit

badd10180b9a1f3061851c142e63247fd9c34954

[ "MIT" ]

null

# -*- coding: utf-8 -*- import os from collections import OrderedDict _RGB_CoSOD_ROOT = "/home/lart/Datasets/Saliency/CoSOD" COCO9213 = dict( root=os.path.join(_RGB_CoSOD_ROOT, "COCO9213"), image=dict(path=os.path.join(_RGB_CoSOD_ROOT, "COCO9213-os", "img"), suffix=".png"), mask=dict(path=os.path.join(_RGB_CoSOD_ROOT, "COCO9213-os", "gt"), suffix=".png"), ) CoCA = dict( root=os.path.join(_RGB_CoSOD_ROOT, "CoCA"), image=dict(path=os.path.join(_RGB_CoSOD_ROOT, "CoCA", "image"), suffix=".jpg"), mask=dict(path=os.path.join(_RGB_CoSOD_ROOT, "CoCA", "binary"), suffix=".png"), bbox=dict(path=os.path.join(_RGB_CoSOD_ROOT, "CoCA", "bbox"), suffix=".txt"), instance=dict(path=os.path.join(_RGB_CoSOD_ROOT, "CoCA", "instance"), suffix=".png"), ) CoSal2015 = dict( root=os.path.join(_RGB_CoSOD_ROOT, "CoSal2015"), image=dict(path=os.path.join(_RGB_CoSOD_ROOT, "CoSal2015", "Image"), suffix=".jpg"), mask=dict(path=os.path.join(_RGB_CoSOD_ROOT, "CoSal2015", "GroundTruth"), suffix=".png"), ) CoSOD3k = dict( root=os.path.join(_RGB_CoSOD_ROOT, "CoSOD3k"), image=dict(path=os.path.join(_RGB_CoSOD_ROOT, "CoSOD3k", "Image"), suffix=".jpg"), mask=dict(path=os.path.join(_RGB_CoSOD_ROOT, "CoSOD3k", "GroundTruth"), suffix=".png"), bbox=dict(path=os.path.join(_RGB_CoSOD_ROOT, "CoSOD3k", "BoundingBox"), suffix=".txt"), instance=dict( path=os.path.join(_RGB_CoSOD_ROOT, "CoSOD3k", "SegmentationObject"), suffix=".png" ), ) iCoSeg = dict( root=os.path.join(_RGB_CoSOD_ROOT, "iCoSeg"), image=dict(path=os.path.join(_RGB_CoSOD_ROOT, "iCoSeg", "Image"), suffix=".jpg"), mask=dict(path=os.path.join(_RGB_CoSOD_ROOT, "iCoSeg", "GroundTruth"), suffix=".png"), ) ImagePair = dict( root=os.path.join(_RGB_CoSOD_ROOT, "ImagePair"), image=dict(path=os.path.join(_RGB_CoSOD_ROOT, "ImagePair", "Image"), suffix=".jpg"), mask=dict(path=os.path.join(_RGB_CoSOD_ROOT, "ImagePair", "GroundTruth"), suffix=".png"), ) MSRC = dict( root=os.path.join(_RGB_CoSOD_ROOT, "MSRC"), image=dict(path=os.path.join(_RGB_CoSOD_ROOT, "MSRC", "Image"), suffix=".jpg"), mask=dict(path=os.path.join(_RGB_CoSOD_ROOT, "MSRC", "GroundTruth"), suffix=".png"), ) WICOS = dict( root=os.path.join(_RGB_CoSOD_ROOT, "WICOS"), image=dict(path=os.path.join(_RGB_CoSOD_ROOT, "WICOS", "Image"), suffix=".jpg"), mask=dict(path=os.path.join(_RGB_CoSOD_ROOT, "WICOS", "GroundTruth"), suffix=".png"), ) # [('ImagePair', 210), ('MSRC', 233), ('WICOS', 364), ('iCoSeg', 643), ('CoCA', 1295), ('CoSal2015', 2015), ('CoSOD3k', 3316)] rgb_cosod_data = OrderedDict( { "ImagePair": ImagePair, "MSRC": MSRC, "WICOS": WICOS, "iCoSeg": iCoSeg, "CoCA": CoCA, "CoSal2015": CoSal2015, "CoSOD3k": CoSOD3k, } )

42.787879

126

0.659348

391

2,824

4.534527

0.122762

0.135364

0.196278

0.205302

0.706148

0.701636

0.541455

0.336153

0

0.031785

0.13102

2,824

65

127

43.446154

0.690709

0.0517

0

0.185047

0.01271

0

1

0

false

0

0.033333

0

0.033333

0

null

0

1

0

1

0

null

0

5

b1ca3702746b37550d86124e807b6696018e8a48

81

py

Python

devel/apps/ik/models/member_choices.py

riscoscloverleaf/chatcube

a7184ef76108f90a74a88d3183a3d21c1249a0f5

[ "MIT" ]

null

devel/apps/ik/models/member_choices.py

riscoscloverleaf/chatcube

a7184ef76108f90a74a88d3183a3d21c1249a0f5

[ "MIT" ]

null

devel/apps/ik/models/member_choices.py

riscoscloverleaf/chatcube

a7184ef76108f90a74a88d3183a3d21c1249a0f5

[ "MIT" ]

null

from django.utils.translation import ugettext_lazy as _ from ik import constants

27

55

0.851852

12

81

5.583333

0.833333

0

0.123457

81

2

56

40.5

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

59021e2582f4769d2b981bbcd6678f46c2b5a12b

184

py

Python

dictionary/signals/__init__.py

ankitgc1/django-sozluk-master

eeebc3eadf932a3f98e826400d5010d2b5b360b7

[ "BSD-3-Clause" ]

248

2019-10-29T20:35:01.000Z

2022-03-25T11:17:35.000Z

dictionary/signals/__init__.py

ankitgc1/django-sozluk-master

eeebc3eadf932a3f98e826400d5010d2b5b360b7

[ "BSD-3-Clause" ]

27

2019-12-18T21:58:15.000Z

2022-02-28T11:41:25.000Z

dictionary/signals/__init__.py

ankitgc1/django-sozluk-master

eeebc3eadf932a3f98e826400d5010d2b5b360b7

[ "BSD-3-Clause" ]

74

2019-10-30T14:06:46.000Z

2022-02-28T07:29:05.000Z

from .m2m import ( update_vote_rate_favorite, update_vote_rate_upvote, update_vote_rate_downvote, update_topic_disambiguation, ) from .messaging import deliver_message

23

38

0.798913

23

184

5.869565

0.608696

0.222222

0.311111

0

0.006452

0.157609

184

7

39

26.285714

0.864516

0

1

0

true

0

0.285714

0

0.285714

0

1

0

null

1

0

1

0

null

0

1

0

5

593fa57a9df553a0bb8c7e8f63b6132105299593

118

py

Python

pyrt/scene/__init__.py

Oleg595/pyRT

6fc0ccbc6fb24dcc2a8532aa22eb9574f1afdb3a

[ "MIT" ]

74

2016-09-02T08:15:39.000Z

2021-08-09T08:16:23.000Z

pyrt/scene/__init__.py

Oleg595/pyRT

6fc0ccbc6fb24dcc2a8532aa22eb9574f1afdb3a

[ "MIT" ]

22

2016-09-02T08:15:14.000Z

2021-02-22T19:52:21.000Z

pyrt/scene/__init__.py

Oleg595/pyRT

6fc0ccbc6fb24dcc2a8532aa22eb9574f1afdb3a

[ "MIT" ]

27

2016-09-04T12:55:27.000Z

2022-03-19T11:21:24.000Z

""" Here you find the scene / scenegraph descriptions. Also most nodes are found here. """ from .scene import Scene

14.75

50

0.728814

17

118

5.058824

0.823529

0

0.186441

118

7

51

16.857143

0.895833

0.70339

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3ccba5966e2119b90a09a9f680613c1ed117c71e

1,515

py

Python

scrapepy/util.py

ivekmezovu/ScrapePy

f5ea2d82f7913c73b9ed9d35aa54e29768e50015

[ "MIT" ]

null

scrapepy/util.py

ivekmezovu/ScrapePy

f5ea2d82f7913c73b9ed9d35aa54e29768e50015

[ "MIT" ]

null

scrapepy/util.py

ivekmezovu/ScrapePy

f5ea2d82f7913c73b9ed9d35aa54e29768e50015

[ "MIT" ]

null

import urllib.request from urllib.request import urlretrieve import urllib from selenium import webdriver import os import time from selenium.common.exceptions import NoSuchElementException from .settings import Settings class Util: def check_if_private_profile(username): options = webdriver.ChromeOptions() options.add_argument('headless') location = Settings.chromedriver_location driver = webdriver.Chrome(chrome_options=options, executable_path=location) driver.get('https://www.instagram.com/{}/'.format(username)) try: if driver.find_element_by_xpath("//div[@class='QlxVY']"): return True driver.close() except NoSuchElementException: return False driver.close() driver.close() def check_if_empty_profile(username): options = webdriver.ChromeOptions() options.add_argument('headless') location = Settings.chromedriver_location driver = webdriver.Chrome(chrome_options=options, executable_path=location) driver.get('https://www.instagram.com/{}/'.format(username)) try: if driver.find_element_by_xpath("//div[@class='coreSpriteProfileCamera']").is_displayed(): return True driver.close() except NoSuchElementException: return False driver.close() driver.close()

26.578947

103

0.630363

144

1,515

6.486111

0.375

0.070664

0.021413

0.066381

0.708779

0

0.280528

1,515

56

104

27.053571

0.856881

0

0.648649

0

0.091844

0.041124

0

1

0.054054

false

0

0.216216

0

0.405405

0

null

0

1

0

null

0

5

3ce7aa53718431c367ad1576e9cedbe1364872b4

125

py

Python

test_main.py

AntEugene/Kursach2018

b0f82b095df607ae84443e260e6ecdb1cfb97edf

[ "BSD-3-Clause" ]

null

test_main.py

AntEugene/Kursach2018

b0f82b095df607ae84443e260e6ecdb1cfb97edf

[ "BSD-3-Clause" ]

null

test_main.py

AntEugene/Kursach2018

b0f82b095df607ae84443e260e6ecdb1cfb97edf

[ "BSD-3-Clause" ]

null

from main import pyTest import pytest class TestMain: def test_succes(self): assert(pyTest('Test Succesful!'))

15.625

41

0.704

16

125

5.4375

0.75

0.275862

0

0.208

125

8

41

15.625

0.878788

0

0.119048

0

0.2

1

0.2

false

0

0.4

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

3cf17fad738d8e06ef74b63fa5549e708faf46e6

117

py

Python

common/utils/Utils.py

OpenMDM/OpenMDM

bb508f79024f41009c12fc2b240029851a8ff66c

[ "Apache-2.0" ]

70

2015-06-05T11:24:09.000Z

2022-01-16T11:36:58.000Z

common/utils/Utils.py

sighttviewliu/OpenMDM

bb508f79024f41009c12fc2b240029851a8ff66c

[ "Apache-2.0" ]

null

common/utils/Utils.py

sighttviewliu/OpenMDM

bb508f79024f41009c12fc2b240029851a8ff66c

[ "Apache-2.0" ]

16

2015-06-06T22:27:46.000Z

2022-01-04T13:12:14.000Z

def str_to_bool(s): if type(s) == "bool": return s return s.lower() in ("yes", "true", "t", "y", "1")

29.25

54

0.487179

20

117

2.75

0.75

0.254545

0

0.011628

0.264957

117

4

54

29.25

0.627907

0

0.118644

0

1

0.25

false

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

a71789a3b03fa78c004f5e8aa8fbb675e6aa10a4

192

py

Python

tests/web_platform/CSS2/box_display/test_insert_block_in_blocks_n_inlines_middle.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

71

2015-04-13T09:44:14.000Z

2019-03-24T01:03:02.000Z

tests/web_platform/CSS2/box_display/test_insert_block_in_blocks_n_inlines_middle.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

35

2019-05-06T15:26:09.000Z

2022-03-28T06:30:33.000Z

tests/web_platform/CSS2/box_display/test_insert_block_in_blocks_n_inlines_middle.py

jonboland/colosseum

cbf974be54fd7f6fddbe7285704cfaf7a866c5c5

[ "BSD-3-Clause" ]

139

2015-05-30T18:37:43.000Z

2019-03-27T17:14:05.000Z

from tests.utils import W3CTestCase class TestInsertBlockInBlocksNInlinesMiddle(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'insert-block-in-blocks-n-inlines-middle-'))

32

95

0.8125

21

192

7.190476

0.857143

0

0.016854

0.072917

192

5

96

38.4

0.831461

0

0.208333

0

1

0

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a71df8651a9fbe2f48f48b1169cef9f3c6c21268

184

py

Python

torchreid/data/datasets/image/__init__.py

linkserendipity/D-MMD

701b0a476f3d7705d05bb36623fd36ba1b747222

[ "MIT" ]

24

2020-07-29T12:20:40.000Z

2021-11-15T06:49:11.000Z

torchreid/data/datasets/image/__init__.py

linkserendipity/D-MMD

701b0a476f3d7705d05bb36623fd36ba1b747222

[ "MIT" ]

6

2020-08-03T06:08:10.000Z

2021-03-03T03:42:02.000Z

torchreid/data/datasets/image/__init__.py

linkserendipity/D-MMD

701b0a476f3d7705d05bb36623fd36ba1b747222

[ "MIT" ]

8

2020-09-01T22:08:46.000Z

2021-07-23T08:18:02.000Z

from __future__ import print_function, absolute_import from .market1501 import Market1501 from .dukemtmc import DukeMTMCreID from .msmt17 import MSMT17 #from .marsawsd import MarsAWSD

30.666667

54

0.853261

23

184

6.565217

0.478261

0

0.07362

0.11413

184

6

55

30.666667

0.852761

0.163043

0

1

0

true

0

1

0

1

0.25

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

59ddf9befa364b849b21aa4d362cd87021f883bb

1,933

py

Python

chsdi/tests/integration/test_height.py

ioda-net/geo-api3

74268312b9823872115a231234c2cf4d09b9e153

[ "BSD-3-Clause" ]

2

2017-06-24T18:02:34.000Z

2018-07-30T07:11:08.000Z

chsdi/tests/integration/test_height.py

ioda-net/geo-api3

74268312b9823872115a231234c2cf4d09b9e153

[ "BSD-3-Clause" ]

6

2017-01-19T10:53:58.000Z

2018-09-07T19:11:40.000Z

chsdi/tests/integration/test_height.py

ioda-net/geo-api3

74268312b9823872115a231234c2cf4d09b9e153

[ "BSD-3-Clause" ]

null

from chsdi.tests.integration import TestsBase class TestHeightView(TestsBase): def setUp(self): super().setUp() self.headers = {} def test_height_nan(self): resp = self.testapp.get( '/portal/rest/services/height', params={'easting': 'NaN', 'northing': '200000.1'}, headers=self.headers, status=400) resp.mustcontain('Please provide numerical values for the parameter \'easting\'/\'lon\'') resp = self.testapp.get( '/portal/rest/services/height', params={'easting': '600000', 'northing': 'NaN'}, headers=self.headers, status=400) resp.mustcontain('Please provide numerical values for the parameter \'northing\'/\'lat\'') def test_height_wrong_lon_value(self): resp = self.testapp.get( '/portal/rest/services/height', params={'lon': 'toto', 'northing': '200000'}, headers=self.headers, status=400) resp.mustcontain("Please provide numerical values") def test_height_wrong_lat_value(self): resp = self.testapp.get( '/portal/rest/services/height', params={'lon': '600000', 'northing': 'toto'}, headers=self.headers, status=400) resp.mustcontain("Please provide numerical values") def test_height_miss_northing(self): resp = self.testapp.get( '/portal/rest/services/height', params={'easting': '600000'}, headers=self.headers, status=400) resp.mustcontain("Missing parameter 'norhting'/'lat'") def test_height_miss_easting(self): resp = self.testapp.get( '/portal/rest/services/height', params={'northing': '200000'}, headers=self.headers, status=400) resp.mustcontain("Missing parameter 'easting'/'lon'")

35.145455

98

0.583549

198

1,933

5.616162

0.232323

0.069245

0.080935

0.097122

0.752698

0.623201

0

0.039483

0.279359

1,933

54

99

35.796296

0.758794

0

0.565217

0

0.270047

0.086912

0

1

0.130435

false

0

0.021739

0

0.173913

0

null

0

1

0

null

0

5

ab98769dfce29e234c16fd4db79832c6811c68ea

95

py

Python

invokers/python/tests/functions/http/func-foo/func.py

andrew-su/function-buildpacks-for-knative

dcb9a8c1e07a6288dbc096e2f5270eb5e16a625a

[ "BSD-2-Clause" ]

19

2021-11-03T15:02:24.000Z

2022-03-23T04:33:56.000Z

invokers/python/tests/functions/http/func-foo/func.py

andrew-su/function-buildpacks-for-knative

dcb9a8c1e07a6288dbc096e2f5270eb5e16a625a

[ "BSD-2-Clause" ]

36

2021-11-05T14:33:37.000Z

2022-03-24T20:13:40.000Z

invokers/python/tests/functions/http/func-foo/func.py

andrew-su/function-buildpacks-for-knative

dcb9a8c1e07a6288dbc096e2f5270eb5e16a625a

[ "BSD-2-Clause" ]

4

2021-11-16T08:27:58.000Z

2022-02-03T02:58:24.000Z

19

39

0.705263

14

95

4.785714

1

0

0.1125

0.157895

95

5

40

19

0.725

0.736842

0

1

0.5

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

abb0584e1c67c1a32c9aa34906841cef3c37d0de

122

py

Python

dbcat/catalog/__init__.py

vrajat/dbcat

62e00e1f901dfdcbbd48ce67e55ce10f25a27414

[ "MIT" ]

8

2021-01-08T11:15:53.000Z

2021-11-19T13:07:40.000Z

dbcat/catalog/__init__.py

vrajat/dbcat

62e00e1f901dfdcbbd48ce67e55ce10f25a27414

[ "MIT" ]

48

2020-12-23T05:09:13.000Z

2021-12-19T06:24:53.000Z

dbcat/catalog/__init__.py

vrajat/dbcat

62e00e1f901dfdcbbd48ce67e55ce10f25a27414

[ "MIT" ]

2

2020-12-11T05:11:02.000Z

2021-07-17T15:41:20.000Z

# flake8: noqa from .catalog import Catalog from .models import CatColumn, CatSchema, CatSource, CatTable, ColumnLineage

24.4

76

0.803279

14

122

7

0.785714

0

0.009434

0.131148

122

4

77

30.5

0.915094

0.098361

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

abb5d813dea771ae72b6905c0f75127a956a5245

247

py

Python

test/extract_kf.py

welcotravel/image-quality-assessment

b9e17de93578220e5ae142725d9153098759e7c8

[ "Apache-2.0" ]

1

2021-03-27T15:09:30.000Z

test/extract_kf.py

welcotravel/image-quality-assessment

b9e17de93578220e5ae142725d9153098759e7c8

[ "Apache-2.0" ]

null

test/extract_kf.py

welcotravel/image-quality-assessment

b9e17de93578220e5ae142725d9153098759e7c8

[ "Apache-2.0" ]

1

2020-10-05T03:20:53.000Z

import sys # method 1 use ffmpeg in a wrapper # ffmpeg -i yosemiteA.mp4 -f image2 -vf "select='eq(pict_type,PICT_TYPE_I)'" -vsync vfr yi%03d.png # method 2 use video-kf # import videokf as vf # vf.extract_keyframes(sys.argv[1], method="iframes")

30.875

98

0.732794

45

247

3.933333

0.733333

0.090395

0

0.033019

0.1417

247

8

99

30.875

0.801887

0.906883

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5