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qsc_code_frac_chars_comments_quality_signal
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qsc_code_frac_lines_dupe_lines_quality_signal
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effective
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9df8326320ebeefc167dcda9f2bb32fd04c4f06d
104
py
Python
src/main/cclyzer/config/__init__.py
plast-lab/cclyzer
470b614ff26a348d5d9bde1cabe52cf668ec48b9
[ "MIT" ]
63
2016-02-06T21:06:40.000Z
2021-11-16T19:58:27.000Z
src/main/cclyzer/config/__init__.py
plast-lab/cclyzer
470b614ff26a348d5d9bde1cabe52cf668ec48b9
[ "MIT" ]
7
2016-03-03T16:18:16.000Z
2019-07-26T17:08:07.000Z
src/main/cclyzer/config/__init__.py
plast-lab/cclyzer
470b614ff26a348d5d9bde1cabe52cf668ec48b9
[ "MIT" ]
14
2016-02-21T17:12:36.000Z
2021-09-26T02:48:41.000Z
from custom_analysis import CustomAnalysis from yaml_impl import YamlConfiguration as UserConfiguration
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py
Python
iris_sdk/models/maps/warnings.py
NumberAI/python-bandwidth-iris
0e05f79d68b244812afb97e00fd65b3f46d00aa3
[ "MIT" ]
2
2020-04-13T13:47:59.000Z
2022-02-23T20:32:41.000Z
iris_sdk/models/maps/warnings.py
bandwidthcom/python-bandwidth-iris
dbcb30569631395041b92917252d913166f7d3c9
[ "MIT" ]
5
2020-09-18T20:59:24.000Z
2021-08-25T16:51:42.000Z
iris_sdk/models/maps/warnings.py
bandwidthcom/python-bandwidth-iris
dbcb30569631395041b92917252d913166f7d3c9
[ "MIT" ]
5
2018-12-12T14:39:50.000Z
2020-11-17T21:42:29.000Z
#!/usr/bin/env python from iris_sdk.models.maps.base_map import BaseMap class WarningsMap(BaseMap): warning = None
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py
Python
Level2/Ex_2.py
zac11/Python_Excerices
775739e2639be1f82cc3690c854b9ea0ece05042
[ "Apache-2.0" ]
2
2019-03-09T20:31:06.000Z
2020-06-19T12:15:13.000Z
Level2/Ex_2.py
zac11/Python_Excerices
775739e2639be1f82cc3690c854b9ea0ece05042
[ "Apache-2.0" ]
null
null
null
Level2/Ex_2.py
zac11/Python_Excerices
775739e2639be1f82cc3690c854b9ea0ece05042
[ "Apache-2.0" ]
1
2018-08-11T18:36:49.000Z
2018-08-11T18:36:49.000Z
""" Question: Write a program which takes 2 digits, X,Y as input and generates a 2-dimensional array. The element value in the i-th row and j-th column of the array should be i*j. Note: i=0,1.., X-1; j=0,1,¡­Y-1. Example Suppose the following inputs are given to the program: 3,5 Then, the output of the program should be: [[0, 0, 0, 0, 0], [0, 1, 2, 3, 4], [0, 2, 4, 6, 8]] """ str_input = input() dimensions = [int(x) for x in str_input.split(',')] rowNum = dimensions[0] columnNum = dimensions[1] multilist = [[0 for col in range(columnNum)] for row in range(rowNum)] """ This creates a 4X6 dimensional array of 0's 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 """ print(multilist) for row in range(rowNum): for col in range(columnNum): multilist[row][col]= row*col print(multilist) """ ------------------Row 1---------------------- for row in range(0): for col in range(6): multilist[0][0]= 1*0 = 0 for row in range(0): for col in range(6): multilist[0][1]= 0*1 = 0 for row in range(0): for col in range(6): multilist[0][2]= 0*2 = 0 for row in range(0): for col in range(6): multilist[0][3]= 0*3 = 0 for row in range(0): for col in range(6): multilist[0][4]= 0*4 = 0 for row in range(0): for col in range(6): multilist[0][5]= 0*5 = 0 for row in range(0): for col in range(6): multilist[0][6]= 0*6 = 0 ------------------Row 2------------------------- for row in range(1): for col in range(6): multilist[1][0]= 1*0 = 0 for row in range(1): for col in range(6): multilist[1][1]= 1*1 = 1 for row in range(1): for col in range(6): multilist[1][2]= 1*2 = 2 for row in range(1): for col in range(6): multilist[1][3]= 1*3 = 3 for row in range(1): for col in range(6): multilist[1][4]= 1*4 = 4 for row in range(1): for col in range(6): multilist[1][5]= 1*5 = 5 for row in range(1): for col in range(6): multilist[1][6]= 1*6 = 6 ------------------Row 3--------------------------- for row in range(2): for col in range(6): multilist[2][0]= 2*0 = 0 for row in range(2): for col in range(6): multilist[2][1]= 2*1 = 2 for row in range(2): for col in range(6): multilist[2][2]= 2*2 = 4 for row in range(2): for col in range(6): multilist[2][3]= 2*3 = 6 for row in range(2): for col in range(6): multilist[2][4]= 2*4 = 8 for row in range(2): for col in range(6): multilist[2][5]= 2*5 = 10 for row in range(2): for col in range(6): multilist[2][6]= 2*6 = 12 ------------------Row 4--------------------------------- for row in range(3): for col in range(6): multilist[3][0]= 3*0 = 0 for row in range(3): for col in range(6): multilist[3][1]= 3*1 = 3 for row in range(3): for col in range(6): multilist[3][2]= 3*2 = 6 for row in range(3): for col in range(6): multilist[3][3]= 3*3 = 9 for row in range(3): for col in range(6): multilist[3][4]= 3*4 = 12 for row in range(3): for col in range(6): multilist[3][5]= 3*5 = 15 """
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py
Python
deliver/functions_will/eval_spline.py
mariecpereira/Extracao-de-Caracteristicas-Corpo-Caloso
f094c706db815f91cf61d1d501c2a9030b9b54d3
[ "MIT" ]
null
null
null
deliver/functions_will/eval_spline.py
mariecpereira/Extracao-de-Caracteristicas-Corpo-Caloso
f094c706db815f91cf61d1d501c2a9030b9b54d3
[ "MIT" ]
null
null
null
deliver/functions_will/eval_spline.py
mariecpereira/Extracao-de-Caracteristicas-Corpo-Caloso
f094c706db815f91cf61d1d501c2a9030b9b54d3
[ "MIT" ]
null
null
null
# -*- encoding: utf-8 -*- import numpy as np import scipy.interpolate as spline def eval_spline(tck, t): y, x = spline.splev(t,tck) return np.vstack((y,x))
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py
Python
week02/week02_02.py
w1g/introduction_to_python
8798f891fd99090c88aa06eb6dd6e29e6a86e928
[ "MIT" ]
null
null
null
week02/week02_02.py
w1g/introduction_to_python
8798f891fd99090c88aa06eb6dd6e29e6a86e928
[ "MIT" ]
null
null
null
week02/week02_02.py
w1g/introduction_to_python
8798f891fd99090c88aa06eb6dd6e29e6a86e928
[ "MIT" ]
null
null
null
import json import functools def to_json(func): @functools.wraps(func) def inner(*argv, **kwargv): result = func(*argv, **kwargv) return json.dumps(result) return inner
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py
Python
paseto_auth/exceptions.py
moiseshiraldo/django-rest-paseto-auth
13295f8bdbec486decbff9692c11ad38dbe90090
[ "MIT" ]
7
2018-07-05T02:32:53.000Z
2020-11-23T22:45:55.000Z
paseto_auth/exceptions.py
moiseshiraldo/django-rest-paseto-auth
13295f8bdbec486decbff9692c11ad38dbe90090
[ "MIT" ]
2
2018-04-23T18:24:40.000Z
2018-04-23T18:35:07.000Z
paseto_auth/exceptions.py
moiseshiraldo/django-rest-paseto-auth
13295f8bdbec486decbff9692c11ad38dbe90090
[ "MIT" ]
null
null
null
class TokenError(Exception): """ Base exception for token errors. """ pass
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ae6e483b504c179d9b95badd3f34b4aa161dbfce
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py
Python
askalexa/response/package.py
scottenglert/AskAlexa
aac9d8aa4d6d5d2e9dcd079e0ac516b06c8a94ba
[ "MIT" ]
2
2018-05-25T11:18:18.000Z
2019-08-09T19:23:54.000Z
askalexa/response/package.py
scottenglert/AskAlexa
aac9d8aa4d6d5d2e9dcd079e0ac516b06c8a94ba
[ "MIT" ]
null
null
null
askalexa/response/package.py
scottenglert/AskAlexa
aac9d8aa4d6d5d2e9dcd079e0ac516b06c8a94ba
[ "MIT" ]
null
null
null
from askalexa.response.data import JsonResponseData, response_property class ResponsePackage(JsonResponseData): ''' This is the complete response package that is sent back to Alexa with the given response and session attributes. ''' def __init__(self, response, session_attributes): self._version = '1.0' self._response = response self._session_attributes = session_attributes @response_property('version') def version(self): return self._version @response_property('sessionAttributes') def session_attributes(self): return self._session_attributes @session_attributes.setter def session_attributes(self, attributes): self._session_attributes = attributes @response_property('response') def response(self): return self._response @response.setter def response(self, response): self._response = response
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py
Python
pymlconf/__init__.py
pylover/pymlconf
4111ed84b23201957ee789b58e6818f330eeb28b
[ "MIT" ]
36
2015-02-09T14:20:32.000Z
2020-12-18T03:01:29.000Z
pymlconf/__init__.py
pylover/pymlconf
4111ed84b23201957ee789b58e6818f330eeb28b
[ "MIT" ]
23
2015-06-05T07:30:18.000Z
2020-05-26T17:45:46.000Z
pymlconf/__init__.py
pylover/pymlconf
4111ed84b23201957ee789b58e6818f330eeb28b
[ "MIT" ]
5
2016-02-19T14:22:28.000Z
2018-08-06T14:04:44.000Z
"""pymlconf package.""" from .models import Mergable, MergableList, MergableDict, Root, \ ConfigurationNamespace, DeferredRoot from .errors import ConfigurationError, ConfigurationAlreadyInitializedError, \ ConfigurationNotInitializedError __version__ = '3.0.1'
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py
Python
projects/serializers.py
sahin88/Django_RestFramework_ReactJS_PortfolioApp_Frontend
5dd2bb70af93bd115d637cf56e0aeadb7ffc991b
[ "Unlicense" ]
null
null
null
projects/serializers.py
sahin88/Django_RestFramework_ReactJS_PortfolioApp_Frontend
5dd2bb70af93bd115d637cf56e0aeadb7ffc991b
[ "Unlicense" ]
null
null
null
projects/serializers.py
sahin88/Django_RestFramework_ReactJS_PortfolioApp_Frontend
5dd2bb70af93bd115d637cf56e0aeadb7ffc991b
[ "Unlicense" ]
null
null
null
from rest_framework import serializers from .models import Projects class ProjectsSerializers(serializers.ModelSerializer): class Meta: model = Projects fields = ('name', 'description', 'url_field', 'image')
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8
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4
8815a65eb79ea5f19d0cc1bb2129230de1d5b22f
221
py
Python
python_app/tenhou-bot/mahjong/ai/base.py
0xsuu/Project-Mahjong
e82edc67651ff93c8ec158b590cd728f28504be9
[ "Apache-2.0" ]
9
2018-06-08T00:09:08.000Z
2021-11-17T11:05:11.000Z
python_app/tenhou-bot/mahjong/ai/base.py
0xsuu/Project-Mahjong
e82edc67651ff93c8ec158b590cd728f28504be9
[ "Apache-2.0" ]
1
2020-04-25T12:43:26.000Z
2020-04-25T12:43:26.000Z
python_app/tenhou-bot/mahjong/ai/base.py
0xsuu/Project-Mahjong
e82edc67651ff93c8ec158b590cd728f28504be9
[ "Apache-2.0" ]
2
2019-05-30T07:18:45.000Z
2019-11-05T09:15:13.000Z
# -*- coding: utf-8 -*- class BaseAI(object): player = None table = None def __init__(self, table, player): self.player = player self.table = table def discard_tile(self): pass
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4.615385
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0.316742
221
13
39
17
0.788079
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0.125
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0
1
0
0
4
882612f02c6fdbe21f13b2bef82aa48693a0a992
461
py
Python
demo/file/os_path_demo.py
firstprojectfor/FPF_python
2321aff0d5b56f787befec55917d731c8c776558
[ "MIT" ]
1
2019-05-04T01:32:06.000Z
2019-05-04T01:32:06.000Z
demo/file/os_path_demo.py
firstprojectfor/FPF_python
2321aff0d5b56f787befec55917d731c8c776558
[ "MIT" ]
null
null
null
demo/file/os_path_demo.py
firstprojectfor/FPF_python
2321aff0d5b56f787befec55917d731c8c776558
[ "MIT" ]
null
null
null
import os import time file1 = "d://test.pdf" file2 = "d://tmp//" print(os.path.isabs(file1)) print(os.path.isdir(file2)) print("split ---") print(os.path.split(file1)) print(os.path.splitext(file1)) print(os.path.split(file2)) print(os.path.splitext(file2)) print(os.path.basename(file1)) print(os.path.dirname(file1)) print(os.path.abspath(file1)) print(time.ctime(os.path.getctime(file1))) print(os.path.getsize(file1)) print(os.path.getsize(file2))
17.074074
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0.718004
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461
4.413333
0.28
0.217523
0.365559
0.338369
0.138973
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0.03271
0.071584
461
26
43
17.730769
0.740654
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0
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0
4
88416086d7d639bb7305bcf357ce7663abb2c9e4
28
py
Python
keygen/gliffy-keygen/utils.py
dmikhaylenko/environment
5ecdbbe520b1ff4f6b1ec3a2e2d922d65d594622
[ "MIT" ]
null
null
null
keygen/gliffy-keygen/utils.py
dmikhaylenko/environment
5ecdbbe520b1ff4f6b1ec3a2e2d922d65d594622
[ "MIT" ]
null
null
null
keygen/gliffy-keygen/utils.py
dmikhaylenko/environment
5ecdbbe520b1ff4f6b1ec3a2e2d922d65d594622
[ "MIT" ]
null
null
null
../atlassian-keygen/utils.py
28
28
0.785714
4
28
5.5
1
0
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1
28
28
0.785714
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0
0
0
0
0
0
0
0
4
8844193801a6c6e3c1bd2210776e244b8c0ba7e1
53
py
Python
douzero/dmc/__init__.py
hsywhu/DouZero
a246f3ba88a041fc08463ffe64fec2cfa1ec7707
[ "Apache-2.0" ]
2,552
2021-06-11T08:17:47.000Z
2022-03-30T12:05:56.000Z
douzero/dmc/__init__.py
Vincentzyx/DouZero
3f06cb8a0203e1b78a238e6c79ed785f46465725
[ "Apache-2.0" ]
37
2021-06-16T14:17:30.000Z
2022-01-26T07:15:27.000Z
douzero/dmc/__init__.py
Vincentzyx/DouZero
3f06cb8a0203e1b78a238e6c79ed785f46465725
[ "Apache-2.0" ]
343
2021-06-15T04:39:13.000Z
2022-03-29T11:19:32.000Z
from .dmc import train from .arguments import parser
17.666667
29
0.811321
8
53
5.375
0.75
0
0
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0
0
0
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53
2
30
26.5
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0
0
0
4
8853b9facdacf1bee4734f5669b3330abef604b4
22
py
Python
lang/Python/read-entire-file-1.py
ethansaxenian/RosettaDecode
8ea1a42a5f792280b50193ad47545d14ee371fb7
[ "MIT" ]
5
2021-01-29T20:08:05.000Z
2022-03-22T06:16:05.000Z
lang/Python/read-entire-file-1.py
ethansaxenian/RosettaDecode
8ea1a42a5f792280b50193ad47545d14ee371fb7
[ "MIT" ]
null
null
null
lang/Python/read-entire-file-1.py
ethansaxenian/RosettaDecode
8ea1a42a5f792280b50193ad47545d14ee371fb7
[ "MIT" ]
1
2021-04-13T04:19:31.000Z
2021-04-13T04:19:31.000Z
open(filename).read()
11
21
0.727273
3
22
5.333333
1
0
0
0
0
0
0
0
0
0
0
0
0.045455
22
1
22
22
0.761905
0
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true
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0
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0
0
4
888a70d65c6daaabf3b8235128df1155c615d89d
93
py
Python
kioskoapp/apps.py
Knd9/kioskoproy
46683501287a9d7d6de5ddacdb87c00861b9eb56
[ "MIT" ]
null
null
null
kioskoapp/apps.py
Knd9/kioskoproy
46683501287a9d7d6de5ddacdb87c00861b9eb56
[ "MIT" ]
5
2021-04-08T18:41:15.000Z
2021-09-22T17:59:11.000Z
kioskoapp/apps.py
Knd9/kioskoproy
46683501287a9d7d6de5ddacdb87c00861b9eb56
[ "MIT" ]
null
null
null
from django.apps import AppConfig class KioskoappConfig(AppConfig): name = 'kioskoapp'
15.5
33
0.763441
10
93
7.1
0.9
0
0
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0
0
0.16129
93
5
34
18.6
0.910256
0
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0.096774
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1
0
false
0
0.333333
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1
0
1
0
0
null
0
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null
0
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1
0
1
0
0
4
ee17b7ab2030c081df24352e6296b7aa8e60ae9b
63
py
Python
Android/parser/ui/lang/langtest.py
Bravest-Ptt/Useful-Shell
75016ff44f218afce6b885af7b23fb801a7ef2d4
[ "Apache-2.0" ]
1
2020-05-31T08:46:45.000Z
2020-05-31T08:46:45.000Z
Android/parser/ui/lang/langtest.py
Bravest-Ptt/Useful-Shell
75016ff44f218afce6b885af7b23fb801a7ef2d4
[ "Apache-2.0" ]
null
null
null
Android/parser/ui/lang/langtest.py
Bravest-Ptt/Useful-Shell
75016ff44f218afce6b885af7b23fb801a7ef2d4
[ "Apache-2.0" ]
null
null
null
import lang if __name__ == "__main__": print lang.app_name
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0.714286
9
63
4
0.777778
0
0
0
0
0
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0.190476
63
4
27
15.75
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null
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1
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0
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4
ee268da90192b81de8fa746848ae88f3121b2bfb
26
py
Python
pypingcli/__init__.py
tameeshB/pyPingCLI
070edab79b24c257a8512b2a1410d12583f96d69
[ "MIT" ]
1
2019-10-28T00:39:32.000Z
2019-10-28T00:39:32.000Z
pypingcli/__init__.py
tameeshB/pyPingCLI
070edab79b24c257a8512b2a1410d12583f96d69
[ "MIT" ]
7
2018-10-01T01:13:59.000Z
2018-10-03T16:44:34.000Z
pypingcli/__init__.py
tameeshB/pyPingCLI
070edab79b24c257a8512b2a1410d12583f96d69
[ "MIT" ]
6
2018-10-01T10:09:16.000Z
2020-09-16T06:59:16.000Z
__version__ = '0.02.dev0'
13
25
0.692308
4
26
3.5
1
0
0
0
0
0
0
0
0
0
0
0.173913
0.115385
26
1
26
26
0.434783
0
0
0
0
0
0.346154
0
0
0
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1
0
false
0
0
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1
1
0
null
0
0
0
0
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1
0
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0
0
0
0
4
ee7881cecae01f4cc1c53911b1ea7ebf14c50b82
174
py
Python
examples/helpers/post/like.py
javad94/instauto
8d4d068863176b0a1df13e5be3d5e32388036921
[ "MIT" ]
79
2020-08-24T23:32:57.000Z
2022-02-20T19:03:17.000Z
examples/helpers/post/like.py
klaytonpaiva/instauto
7f8c26b22f84d3d966625c7fa656e91cc623bb2e
[ "MIT" ]
146
2020-07-25T16:27:48.000Z
2021-10-02T09:03:50.000Z
examples/helpers/post/like.py
klaytonpaiva/instauto
7f8c26b22f84d3d966625c7fa656e91cc623bb2e
[ "MIT" ]
41
2020-09-07T14:19:04.000Z
2022-02-07T23:08:10.000Z
from instauto.api.client import ApiClient from instauto.helpers.post import like_post client = ApiClient.initiate_from_file('.instauto.save') like_post(client, "media_id")
24.857143
55
0.816092
25
174
5.48
0.56
0.175182
0.20438
0
0
0
0
0
0
0
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0
0.086207
174
6
56
29
0.861635
0
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0.127168
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1
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false
0
0.5
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0.5
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null
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0
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1
0
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0
0
4
ee798baefc405ca3520b6ba9c8712f4e403b2fcf
184
py
Python
api/app/admin/logout.py
dheepak-aot/queue-management-1
a96e3ab4b8e4e14e2d70e940de6d9551f6f093be
[ "Apache-2.0" ]
30
2018-09-19T03:30:51.000Z
2022-03-07T02:57:05.000Z
api/app/admin/logout.py
dheepak-aot/queue-management-1
a96e3ab4b8e4e14e2d70e940de6d9551f6f093be
[ "Apache-2.0" ]
159
2018-09-17T23:45:58.000Z
2022-03-30T17:35:05.000Z
api/app/admin/logout.py
dheepak-aot/queue-management-1
a96e3ab4b8e4e14e2d70e940de6d9551f6f093be
[ "Apache-2.0" ]
52
2018-05-18T18:30:06.000Z
2021-08-25T12:00:29.000Z
from flask_admin.menu import MenuLink from flask_login import current_user class LogoutMenuLink(MenuLink): def is_accessible(self): return current_user.is_authenticated
20.444444
44
0.798913
24
184
5.875
0.708333
0.12766
0
0
0
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0.157609
184
8
45
23
0.909677
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0.2
false
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1
1
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0
0
4
c987ee1de55111f6f877bdd7d1f0dfc0e30d8b3c
19,184
py
Python
backend/meertime/test_graphql.py
gravitationalwavedc/meertime_dataportal
de06814d5b456c12ebd77d76eb38801458c97d26
[ "MIT" ]
1
2020-10-26T02:48:06.000Z
2020-10-26T02:48:06.000Z
backend/meertime/test_graphql.py
gravitationalwavedc/meertime_dataportal
de06814d5b456c12ebd77d76eb38801458c97d26
[ "MIT" ]
null
null
null
backend/meertime/test_graphql.py
gravitationalwavedc/meertime_dataportal
de06814d5b456c12ebd77d76eb38801458c97d26
[ "MIT" ]
null
null
null
import pytest import json from dataportal.models import Observations, Pulsars, Utcs from django.contrib.auth.models import Permission from django.contrib.contenttypes.models import ContentType from datetime import datetime from ingest.ingest_methods import handle_image_parsing # Auxiliary functions jwt_mutation = """ mutation TokenAuth($username: String!, $password: String!) { tokenAuth(input:{username: $username, password: $password}) { token payload refreshExpiresIn } } """ def __create_viewer(client, django_user_model): username = "viewer" password = "reweiv" viewer = django_user_model.objects.create_user(username=username, password=password) return viewer jwt_vars_viewer = """ { "username": "viewer", "password": "reweiv" } """ def __create_creator(client, django_user_model): username = "creator" password = "rotaerc" creator = django_user_model.objects.create_user(username=username, password=password) content_type = ContentType.objects.get_for_model(Observations) permission = Permission.objects.get(content_type=content_type, codename="add_observations") creator.user_permissions.add(permission) return creator jwt_vars_creator = """ { "username": "creator", "password": "rotaerc" } """ def __create_psr_utc_obs(): psr = Pulsars.objects.create(jname="J1234-5678") utc_str = "2000-01-01-12:59:12" utc_dt = datetime.strptime(f"{utc_str} +0000", "%Y-%m-%d-%H:%M:%S %z") utc = Utcs.objects.create(utc_ts=utc_dt) Observations.objects.create(pulsar=psr, utc=utc, beam=1) return psr, utc def __obtain_jwt_token(client, mutation, vars): # obtain the token payload = {"query": mutation, "variables": vars} response = client.post("/graphql/", payload) data = json.loads(response.content)["data"] jwt_token = data["tokenAuth"]["token"] return jwt_token # Test querying # pulsars query query_psr = """ query { pulsars { jname } } """ def test_graphql_pulsars_query_no_token(client, django_user_model): psr, _ = __create_psr_utc_obs() expected = b'{"errors":[{"message":"You do not have permission to perform this action","locations":[{"line":3,"column":9}],"path":["pulsars"]}],"data":{"pulsars":null}}' response = client.post("/graphql/", {"query": query_psr}) assert response.content == expected assert response.status_code == 200 def test_graphql_pulsars_query_with_token(client, django_user_model): user = __create_viewer(client, django_user_model) psr, _ = __create_psr_utc_obs() jwt_token = __obtain_jwt_token(client, jwt_mutation, jwt_vars_viewer) # try mutation with the token payload = {"query": query_psr} header = {"HTTP_AUTHORIZATION": f"JWT {jwt_token}"} response = client.post("/graphql/", payload, **header) expected = b'{"data":{"pulsars":[{"jname":"J1234-5678"}]}}' assert response.content == expected assert response.status_code == 200 # utcs query query_utcs = """ query { utcs { utcTs } } """ def test_graphql_utcs_query_no_token(client, django_user_model): _, utc = __create_psr_utc_obs() expected = b'{"errors":[{"message":"You do not have permission to perform this action","locations":[{"line":3,"column":9}],"path":["utcs"]}],"data":{"utcs":null}}' response = client.post("/graphql/", {"query": query_utcs}) assert response.status_code == 200 assert response.content == expected def test_graphql_utcs_query_with_token(client, django_user_model): user = __create_viewer(client, django_user_model) psr, _ = __create_psr_utc_obs() jwt_token = __obtain_jwt_token(client, jwt_mutation, jwt_vars_viewer) # try mutation with the token payload = {"query": query_utcs} header = {"HTTP_AUTHORIZATION": f"JWT {jwt_token}"} response = client.post("/graphql/", payload, **header) expected = b'{"data":{"utcs":[{"utcTs":"2000-01-01T12:59:12+00:00"}]}}' assert response.content == expected assert response.status_code == 200 # observations query: query_obs = """ query { observations { pulsar { jname } utc { utcTs } } } """ def test_graphql_observations_query_no_token(client, django_user_model): psr, utc = __create_psr_utc_obs() expected = b'{"errors":[{"message":"You do not have permission to perform this action","locations":[{"line":3,"column":9}],"path":["observations"]}],"data":{"observations":null}}' response = client.post("/graphql/", {"query": query_obs}) assert response.status_code == 200 assert response.content == expected def test_graphql_observations_query_with_token(client, django_user_model): user = __create_viewer(client, django_user_model) psr, _ = __create_psr_utc_obs() jwt_token = __obtain_jwt_token(client, jwt_mutation, jwt_vars_viewer) # try mutation with the token payload = {"query": query_obs} header = {"HTTP_AUTHORIZATION": f"JWT {jwt_token}"} response = client.post("/graphql/", payload, **header) expected = ( b'{"data":{"observations":[{"pulsar":{"jname":"J1234-5678"},"utc":{"utcTs":"2000-01-01T12:59:12+00:00"}}]}}' ) assert response.content == expected assert response.status_code == 200 # Test mutations # Auxiliary strings for testing mutations # mutations shared between tests below createObservation_mutation = """ mutation ( $jname: String!, $utc: String!, $beam: Int!, $RA: String, $DEC: String, $DM: Float, $snr: Float, $length: Float, $nchan: Int, $nbin: Int, $nsubint: Int, $nant: Int, $nant_eff: Int, $proposal: String, $bw: Float, $freq: Float, $profile: String, $phaseVsTime: String, $phaseVsFreq: String, $bandpass: String, $snrVsTime: String, $update: Boolean, $schedule: String, $phaseup: String ) { createObservation( jname: $jname, utc: $utc, beam: $beam, RA: $RA, DEC: $DEC, DM: $DM, snr: $snr, length: $length, nchan: $nchan, nbin: $nbin, nsubint: $nsubint, nant: $nant, nantEff: $nant_eff, proposal: $proposal, bw: $bw, frequency: $freq, profile: $profile, phaseVsTime: $phaseVsTime, phaseVsFrequency: $phaseVsFreq, bandpass: $bandpass, snrVsTime: $snrVsTime, update: $update, schedule: $schedule, phaseup: $phaseup ) { observations { pulsar { jname } } } } """ image_bytes = handle_image_parsing("ingest/example.png") createObservation_mutation_variables = """ { "jname": "J1234-5678", "utc": "2020-08-12-01:02:03", "beam": 3, "RA": "12:34:01.132", "DEC": "-56:78:01.132", "DM": 5.3514, "snr": 15.231, "length": 201.2, "nchan": 856, "nant": 57, "nbin": 1024, "nsubint": 12, "nant_eff": 57, "proposal": "SCI-20180516-MB-02", "bw": 856, "freq": 1235.0123, "profile": "", "phaseVsTime": "", "phaseVsFreq": "%s", "bandpass": "", "snrVsTime": "", "schedule": "2020-01", "phaseup": "2020-02", "update": false } """ % ( image_bytes, ) jwt_mutation = """ mutation TokenAuth($username: String!, $password: String!) { tokenAuth(input:{username: $username, password: $password}) { token payload refreshExpiresIn } } """ def test_graphql_mutation_createObservation_without_token(client, django_user_model): payload = {"query": createObservation_mutation, "variables": createObservation_mutation_variables} response = client.post("/graphql/", payload) error_list = json.loads(response.content)["errors"] expected = b'{"errors":[{"message":"You do not have permission to perform this action","locations":[{"line":8,"column":9}],"path":["createObservation"]}],"data":{"createObservation":null}}' assert response.status_code == 200 assert len(error_list) > 0 assert isinstance(error_list[0], dict) assert "message" in error_list[0].keys() assert error_list[0]["message"] == "You do not have permission to perform this action" assert response.content == expected @pytest.mark.django_db def test_graphql_mutation_createObservation_with_token_without_permission(client, django_user_model): user = __create_viewer(client, django_user_model) assert not user.has_perm("dataportal.add_observations") jwt_token = __obtain_jwt_token(client, jwt_mutation, jwt_vars_viewer) # try mutation with the token payload = {"query": createObservation_mutation, "variables": createObservation_mutation_variables} header = {"HTTP_AUTHORIZATION": f"JWT {jwt_token}"} response = client.post("/graphql/", payload, **header) error_list = json.loads(response.content)["errors"] expected = b'{"errors":[{"message":"You do not have permission to perform this action","locations":[{"line":8,"column":9}],"path":["createObservation"]}],"data":{"createObservation":null}}' assert response.status_code == 200 assert len(error_list) > 0 assert isinstance(error_list[0], dict) assert "message" in error_list[0].keys() assert error_list[0]["message"] == "You do not have permission to perform this action" assert response.content == expected @pytest.mark.django_db def test_graphql_mutation_createObservation_with_token_with_permission(client, django_user_model): user = __create_creator(client, django_user_model) assert user.has_perm("dataportal.add_observations") jwt_token = __obtain_jwt_token(client, jwt_mutation, jwt_vars_creator) # try mutation with the token payload = {"query": createObservation_mutation, "variables": createObservation_mutation_variables} header = {"HTTP_AUTHORIZATION": f"JWT {jwt_token}"} response = client.post("/graphql/", payload, **header) assert response.status_code == 200 assert response.content == b'{"data":{"createObservation":{"observations":{"pulsar":{"jname":"J1234-5678"}}}}}' createSearchmode_mutation = """ mutation ( $jname: String!, $utc: String!, $beam: Int!, $DM: Float, $RA: String, $DEC: String, $nbit: Int, $nchan: Int, $npol: Int, $tsamp: Float, $nant: Int, $nant_eff: Int, $proposal: String, $length: Float, $bw: Float, $freq: Float, $schedule: String, $phaseup: String ) { createSearchmode( jname: $jname, utc: $utc, beam: $beam, RA: $RA, DEC: $DEC, DM: $DM, nbit: $nbit, nchan: $nchan, npol: $npol, tsamp: $tsamp, nant: $nant, nantEff: $nant_eff, proposal: $proposal, length: $length, bw: $bw, frequency: $freq, schedule: $schedule, phaseup: $phaseup ) { searchmode { pulsar { jname } } } } """ createSearchmode_mutation_variables = """ { "jname": "J1234-5678", "utc": "2020-08-12-01:02:03", "beam": 3, "RA": "12:34:12.345", "DEC": "-56:77:56.789", "DM": 5.3514, "nbit": 8, "nchan": 856, "npol": 2, "tsamp": 0.000064, "nant": 57, "nant_eff": 54, "proposal": "SCI-20180516-MB-02", "length": 201.2, "bw": 856, "freq": 1235.0123, "schedule": "2020-01", "phaseup": "2020-03" } """ def test_graphql_mutation_createSearchmode_without_token(client, django_user_model): payload = {"query": createSearchmode_mutation, "variables": createSearchmode_mutation_variables} response = client.post("/graphql/", payload) error_list = json.loads(response.content)["errors"] expected = b'{"errors":[{"message":"You do not have permission to perform this action","locations":[{"line":7,"column":9}],"path":["createSearchmode"]}],"data":{"createSearchmode":null}}' assert response.status_code == 200 assert len(error_list) > 0 assert isinstance(error_list[0], dict) assert "message" in error_list[0].keys() assert error_list[0]["message"] == "You do not have permission to perform this action" assert response.content == expected @pytest.mark.django_db def test_graphql_mutation_createSearchmode_with_token_without_permission(client, django_user_model): user = __create_viewer(client, django_user_model) assert not user.has_perm("dataportal.add_observations") jwt_token = __obtain_jwt_token(client, jwt_mutation, jwt_vars_viewer) # try mutation with the token payload = {"query": createSearchmode_mutation, "variables": createSearchmode_mutation_variables} header = {"HTTP_AUTHORIZATION": f"JWT {jwt_token}"} response = client.post("/graphql/", payload, **header) error_list = json.loads(response.content)["errors"] expected = b'{"errors":[{"message":"You do not have permission to perform this action","locations":[{"line":7,"column":9}],"path":["createSearchmode"]}],"data":{"createSearchmode":null}}' assert response.status_code == 200 assert len(error_list) > 0 assert isinstance(error_list[0], dict) assert "message" in error_list[0].keys() assert error_list[0]["message"] == "You do not have permission to perform this action" assert response.content == expected @pytest.mark.django_db def test_graphql_mutation_createSearchmode_with_token_with_permission(client, django_user_model): user = __create_creator(client, django_user_model) assert user.has_perm("dataportal.add_observations") jwt_token = __obtain_jwt_token(client, jwt_mutation, jwt_vars_creator) # try mutation with the token payload = {"query": createSearchmode_mutation, "variables": createSearchmode_mutation_variables} header = {"HTTP_AUTHORIZATION": f"JWT {jwt_token}"} response = client.post("/graphql/", payload, **header) assert response.status_code == 200 assert response.content == b'{"data":{"createSearchmode":{"searchmode":{"pulsar":{"jname":"J1234-5678"}}}}}' createFluxcal_mutation = """ mutation ( $jname: String!, $utc: String!, $beam: Int!, $snr: Float, $length: Float, $nbin: Int, $nchan: Int, $nant: Int, $nant_eff: Int, $proposal: String, $bw: Float, $freq: Float, $schedule: String, $phaseup: String ) { createFluxcal( jname: $jname, utc: $utc, beam: $beam, snr: $snr, nbin: $nbin, nchan: $nchan, length: $length, nant: $nant, nantEff: $nant_eff, proposal: $proposal, bw: $bw, frequency: $freq, schedule: $schedule, phaseup: $phaseup ) { fluxcal { pulsar { jname } } } } """ createFluxcal_mutation_variables = """ { "jname": "J1234-5678", "utc": "2020-08-12-01:02:03", "beam": 3, "snr": 15.231, "length": 201.2, "nchan": 856, "nbin": 1024, "nant": 57, "nant_eff": 54, "proposal": "SCI-20180516-MB-02", "bw": 856, "freq": 1235.0123, "schedule": "2020-01", "phaseup": "2020-02" } """ def test_graphql_mutation_createFluxcal_without_token(client, django_user_model): payload = {"query": createFluxcal_mutation, "variables": createFluxcal_mutation_variables} response = client.post("/graphql/", payload) error_list = json.loads(response.content)["errors"] expected = b'{"errors":[{"message":"You do not have permission to perform this action","locations":[{"line":7,"column":9}],"path":["createFluxcal"]}],"data":{"createFluxcal":null}}' assert response.status_code == 200 assert len(error_list) > 0 assert isinstance(error_list[0], dict) assert "message" in error_list[0].keys() assert error_list[0]["message"] == "You do not have permission to perform this action" assert response.content == expected @pytest.mark.django_db def test_graphql_mutation_createFluxcal_with_token_without_permission(client, django_user_model): user = __create_viewer(client, django_user_model) assert not user.has_perm("dataportal.add_observations") jwt_token = __obtain_jwt_token(client, jwt_mutation, jwt_vars_viewer) # try mutation with the token payload = {"query": createFluxcal_mutation, "variables": createFluxcal_mutation_variables} header = {"HTTP_AUTHORIZATION": f"JWT {jwt_token}"} response = client.post("/graphql/", payload, **header) error_list = json.loads(response.content)["errors"] expected = b'{"errors":[{"message":"You do not have permission to perform this action","locations":[{"line":7,"column":9}],"path":["createFluxcal"]}],"data":{"createFluxcal":null}}' assert response.status_code == 200 assert len(error_list) > 0 assert isinstance(error_list[0], dict) assert "message" in error_list[0].keys() assert error_list[0]["message"] == "You do not have permission to perform this action" assert response.content == expected @pytest.mark.django_db def test_graphql_mutation_createFluxcal_with_token_with_permission(client, django_user_model): user = __create_creator(client, django_user_model) assert user.has_perm("dataportal.add_observations") jwt_token = __obtain_jwt_token(client, jwt_mutation, jwt_vars_creator) # try mutation with the token payload = {"query": createFluxcal_mutation, "variables": createFluxcal_mutation_variables} header = {"HTTP_AUTHORIZATION": f"JWT {jwt_token}"} response = client.post("/graphql/", payload, **header) assert response.status_code == 200 assert response.content == b'{"data":{"createFluxcal":{"fluxcal":{"pulsar":{"jname":"J1234-5678"}}}}}' createEphemeris_mutation = """ mutation ( $jname: String!, $updated_at: String!, $ephemeris: String!, $comment: String!) { createEphemeris( jname: $jname, updatedAt: $updated_at, ephemeris: $ephemeris, comment: $comment) { ephemeris { pulsar { jname } } } } """ createEphemeris_mutation_variables = """ { "jname": "J1234-5678", "comment": "", "updated_at": "2020-08-12-01:02:03", "ephemeris": "fake" } """ @pytest.mark.django_db def test_graphql_mutation_createEphemeris_with_token_with_permission(client, django_user_model): user = __create_creator(client, django_user_model) assert user.has_perm("dataportal.add_observations") jwt_token = __obtain_jwt_token(client, jwt_mutation, jwt_vars_creator) # try mutation with the token payload = {"query": createEphemeris_mutation, "variables": createEphemeris_mutation_variables} header = {"HTTP_AUTHORIZATION": f"JWT {jwt_token}"} response = client.post("/graphql/", payload, **header) print(response.status_code) print(response.content) assert response.status_code == 200 assert response.content == b'{"data":{"createEphemeris":{"ephemeris":{"pulsar":{"jname":"J1234-5678"}}}}}'
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c99073b77f7ed98e3e2ecd4213c68afe004f92b9
246
py
Python
app/views/auth/logout.py
olivierpons/evalr
7c76474ad41769804965a11550501321d7b1889b
[ "MIT" ]
null
null
null
app/views/auth/logout.py
olivierpons/evalr
7c76474ad41769804965a11550501321d7b1889b
[ "MIT" ]
null
null
null
app/views/auth/logout.py
olivierpons/evalr
7c76474ad41769804965a11550501321d7b1889b
[ "MIT" ]
null
null
null
from django.contrib.auth.mixins import LoginRequiredMixin from django.contrib.auth.views import LogoutView from django.urls import reverse_lazy class AuthLogoutView(LoginRequiredMixin, LogoutView): next_page = reverse_lazy('app_new_index')
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4
c990ba455a2c491429ca138412237be5df3300b9
357
py
Python
extranet/models/__init__.py
montel-ig/codeshop
487e35a6ed7a21374263d304c4f347bb67d5a2d6
[ "Unlicense" ]
3
2020-04-28T04:51:42.000Z
2021-11-29T12:55:56.000Z
extranet/models/__init__.py
montel-ig/codeshop
487e35a6ed7a21374263d304c4f347bb67d5a2d6
[ "Unlicense" ]
null
null
null
extranet/models/__init__.py
montel-ig/codeshop
487e35a6ed7a21374263d304c4f347bb67d5a2d6
[ "Unlicense" ]
null
null
null
from _coder import Coder, HourTag, Hours, Month from _issues import Organization, Repository, Issue from _needs import Need, Project from _reports import (CoderReport, CoderWeekly, CoderMonthly, ProjectReport, ProjectWeekly, ProjectMonthly, TeamReport, TeamWeeklyMeeting) from _timer import Timer, AlreadyStarted
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c994bfdef6006d85265509755ccf312eb62daa83
48
py
Python
test/integration/MemberFunctionDeclareStart/public two parameters.py
HighSchoolHacking/GLS-Draft
9e418b6290e7c8e3f2da87668784bdba1cde5a76
[ "MIT" ]
30
2019-10-29T12:47:50.000Z
2022-02-12T06:41:39.000Z
test/integration/MemberFunctionDeclareStart/public two parameters.py
HighSchoolHacking/GLS-Draft
9e418b6290e7c8e3f2da87668784bdba1cde5a76
[ "MIT" ]
247
2017-09-21T17:11:18.000Z
2019-10-08T12:59:07.000Z
test/integration/MemberFunctionDeclareStart/public two parameters.py
HighSchoolHacking/GLS-Draft
9e418b6290e7c8e3f2da87668784bdba1cde5a76
[ "MIT" ]
17
2017-10-01T16:53:20.000Z
2018-11-28T07:20:35.000Z
# class Abc: def def_ghi(self, jkl, mno): #
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c99c3f15d26a934e79e745d9e58d7ba80ee8ce99
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py
Python
tests_py3/polytestmix/test1.py
elfsternberg/py-polymorphic-loader
39e93c354f1ae03b05364cdf29ce339fa92fd0fd
[ "MIT" ]
null
null
null
tests_py3/polytestmix/test1.py
elfsternberg/py-polymorphic-loader
39e93c354f1ae03b05364cdf29ce339fa92fd0fd
[ "MIT" ]
null
null
null
tests_py3/polytestmix/test1.py
elfsternberg/py-polymorphic-loader
39e93c354f1ae03b05364cdf29ce339fa92fd0fd
[ "MIT" ]
null
null
null
result = "Success for 1: Test One"
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4
c9c83879f2974e7f6e9c2263c091eba2b96c729e
309
py
Python
telecom/calls/managers.py
paulohos06/app-work-at-olist
0371dc83f0d50394587d03c62ed9508852ece7e5
[ "MIT" ]
null
null
null
telecom/calls/managers.py
paulohos06/app-work-at-olist
0371dc83f0d50394587d03c62ed9508852ece7e5
[ "MIT" ]
8
2020-06-06T00:01:33.000Z
2022-02-10T10:29:15.000Z
telecom/calls/managers.py
paulohos06/app-work-at-olist
0371dc83f0d50394587d03c62ed9508852ece7e5
[ "MIT" ]
null
null
null
from django.db import models class StartManager(models.Manager): def get_queryset(self): return super(StartManager, self).get_queryset().filter(type="start") class EndManager(models.Manager): def get_queryset(self): return super(EndManager, self).get_queryset().filter(type="end")
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4
c9dc7beb513d430d56fd0a18caa678754dd9b0b7
161
py
Python
src/alternation_scan/combine.py
nt409/HRHR
62ab397650f4e2a1b1d0e6ef289b4e73790c777e
[ "MIT" ]
null
null
null
src/alternation_scan/combine.py
nt409/HRHR
62ab397650f4e2a1b1d0e6ef289b4e73790c777e
[ "MIT" ]
null
null
null
src/alternation_scan/combine.py
nt409/HRHR
62ab397650f4e2a1b1d0e6ef289b4e73790c777e
[ "MIT" ]
null
null
null
from alternation_scan.utils import combine_alt_scan_csvs if __name__ == "__main__": n_doses = 51 n_its = 100 combine_alt_scan_csvs(n_doses, n_its)
20.125
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161
3.884615
0.615385
0.19802
0.277228
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0.186335
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7
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0
0
4
a001abbbb4b53316bfccd93251f225e6a940eb65
67
py
Python
bin/Robots/__init__.py
chuanbenli/mathrobot
4564de93c9154a05383211aca7f133ca873650a4
[ "MIT" ]
1
2021-09-24T22:47:41.000Z
2021-09-24T22:47:41.000Z
bin/Robots/__init__.py
chuanbenli/mathrobot
4564de93c9154a05383211aca7f133ca873650a4
[ "MIT" ]
null
null
null
bin/Robots/__init__.py
chuanbenli/mathrobot
4564de93c9154a05383211aca7f133ca873650a4
[ "MIT" ]
1
2020-06-23T16:26:42.000Z
2020-06-23T16:26:42.000Z
class wupin: def __init__ (self, name, operator, ): self.name =
22.333333
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67
4.555556
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4
a00c80731798096d979676fc394ebcc0b25b34c4
60
py
Python
bigserene_sdk/reports/__init__.py
BigSerene/bigserene-sdk
aa98178a2845f21820581fe5cae277b6c28c0a3e
[ "MIT" ]
null
null
null
bigserene_sdk/reports/__init__.py
BigSerene/bigserene-sdk
aa98178a2845f21820581fe5cae277b6c28c0a3e
[ "MIT" ]
2
2020-05-20T23:09:38.000Z
2020-05-25T16:57:11.000Z
bigserene_sdk/reports/__init__.py
BigSerene/bigserene-sdk
aa98178a2845f21820581fe5cae277b6c28c0a3e
[ "MIT" ]
null
null
null
from .report import Report from .client import ReportClient
20
32
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60
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2
33
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0
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0
4
4e7ecde0be6eec4a295d7feb454e8186cd81ba04
190
py
Python
things/serializers.py
ravewillow6383/permissions
5c0f7dcce58ebe9663b11869c452fb31e5cb3505
[ "MIT" ]
null
null
null
things/serializers.py
ravewillow6383/permissions
5c0f7dcce58ebe9663b11869c452fb31e5cb3505
[ "MIT" ]
7
2020-06-05T22:41:55.000Z
2022-02-10T12:40:00.000Z
things/serializers.py
ravewillow6383/permissions
5c0f7dcce58ebe9663b11869c452fb31e5cb3505
[ "MIT" ]
null
null
null
from rest_framework import serializers from . import models class ThingSerializer(serializers.ModelSerializer): class Meta: fields = ('id', 'name') model = models.Thing
23.75
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190
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52
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4
4e977c998677c3bb03ae11dcb66f377e8cb74cbf
133
py
Python
paradigm_panes/__init__.py
UAlbertaALTLab/paradigm-panes
3503d8d4c84600525ece4a04e6d6e014a08cb050
[ "Apache-2.0" ]
null
null
null
paradigm_panes/__init__.py
UAlbertaALTLab/paradigm-panes
3503d8d4c84600525ece4a04e6d6e014a08cb050
[ "Apache-2.0" ]
null
null
null
paradigm_panes/__init__.py
UAlbertaALTLab/paradigm-panes
3503d8d4c84600525ece4a04e6d6e014a08cb050
[ "Apache-2.0" ]
null
null
null
__version__ = '0.3.1' from pathlib import Path from . import settings from .panes import * from .pane_generator import PaneGenerator
22.166667
41
0.789474
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133
5.263158
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6
41
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1
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1
0
0
4
4ebb5c3e5398567ec38461f23db04e8deb374b86
183
py
Python
xee/__init__.py
quentin7b/xee-python-sdk
3dc3de9291f971400858adb0daa62036c4a0833b
[ "Apache-2.0" ]
4
2016-09-02T14:39:02.000Z
2018-11-20T19:44:58.000Z
xee/__init__.py
quentin7b/xee-python-sdk
3dc3de9291f971400858adb0daa62036c4a0833b
[ "Apache-2.0" ]
24
2016-09-02T14:39:12.000Z
2020-05-11T14:55:25.000Z
xee/__init__.py
quentin7b/xee-python-sdk
3dc3de9291f971400858adb0daa62036c4a0833b
[ "Apache-2.0" ]
2
2016-09-03T16:56:23.000Z
2020-04-27T20:55:52.000Z
#!/usr/bin/env python # coding: utf8 """ This package contains Xee python SDK. This SDK maps the request you can send to Xee APIs (see dev.xee.com). """ from .sdk import Xee
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183
8
74
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14dddffa5e28a5df5a4405cf9f10ad5c405fef44
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py
Python
tests/UnitTests/Morphology/invalid_affix_pair_specification_test.py
ZenaNugraha/PySastrawi
6382bc19d9dbb2873fa81e7a5c49439a8db5cb20
[ "MIT" ]
282
2016-02-20T22:14:25.000Z
2022-03-24T17:17:17.000Z
tests/UnitTests/Morphology/invalid_affix_pair_specification_test.py
ZenaNugraha/PySastrawi
6382bc19d9dbb2873fa81e7a5c49439a8db5cb20
[ "MIT" ]
20
2016-10-23T07:33:41.000Z
2022-02-07T07:23:58.000Z
tests/UnitTests/Morphology/invalid_affix_pair_specification_test.py
ZenaNugraha/PySastrawi
6382bc19d9dbb2873fa81e7a5c49439a8db5cb20
[ "MIT" ]
129
2016-02-27T14:40:23.000Z
2022-03-07T15:45:18.000Z
import unittest from Sastrawi.Morphology.InvalidAffixPairSpecification import InvalidAffixPairSpecification class Test_InvalidAffixPairSpecificationTest(unittest.TestCase): def setUp(self): self.specification = InvalidAffixPairSpecification() return super(Test_InvalidAffixPairSpecificationTest, self).setUp() def test_containsInvalidAffixPair(self): self.assertFalse(self.specification.is_satisfied_by('memberikan')) self.assertFalse(self.specification.is_satisfied_by('ketahui')) self.assertTrue(self.specification.is_satisfied_by('berjatuhi')) self.assertTrue(self.specification.is_satisfied_by('dipukulan')) self.assertTrue(self.specification.is_satisfied_by('ketiduri')) self.assertTrue(self.specification.is_satisfied_by('ketidurkan')) self.assertTrue(self.specification.is_satisfied_by('menduaan')) self.assertTrue(self.specification.is_satisfied_by('terduaan')) self.assertTrue(self.specification.is_satisfied_by('perkataan')) if __name__ == '__main__': unittest.main()
47.043478
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0.771719
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1,082
7.603774
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4
14de0f80844a5ec9eb8bfffaa86012f45f623c87
145
py
Python
tests/dep_parse_and_opinion.py
yelircaasi/wikpedia-ideology-mapping
87ba00742fa17f3dc8fdd17f63977938af427552
[ "MIT" ]
null
null
null
tests/dep_parse_and_opinion.py
yelircaasi/wikpedia-ideology-mapping
87ba00742fa17f3dc8fdd17f63977938af427552
[ "MIT" ]
null
null
null
tests/dep_parse_and_opinion.py
yelircaasi/wikpedia-ideology-mapping
87ba00742fa17f3dc8fdd17f63977938af427552
[ "MIT" ]
null
null
null
""" Author: Isaac Riley Date: September 2020 Tests the dependency parsing and opinion mining functionalities of the WikiNet class. """
16.111111
64
0.731034
18
145
5.888889
0.944444
0
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145
8
65
18.125
0.886957
0.903448
0
null
0
null
0
0
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0
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0
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1
null
true
0
0
null
null
null
1
0
0
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1
0
0
0
0
0
0
4
14e2c0f0bf4de3ceaebda95f74c08ad56b927b52
248
py
Python
neiba/admin.py
vique254/Neighbourhood
2be9cbd756a9113986d456f34ad2e52da72c11ab
[ "MIT" ]
null
null
null
neiba/admin.py
vique254/Neighbourhood
2be9cbd756a9113986d456f34ad2e52da72c11ab
[ "MIT" ]
4
2020-06-06T00:33:08.000Z
2021-09-08T01:36:02.000Z
neiba/admin.py
vique254/Neighbourhood
2be9cbd756a9113986d456f34ad2e52da72c11ab
[ "MIT" ]
null
null
null
from __future__ import unicode_literals from django.contrib import admin from .models import Neighbourhood,Profile,Business # Register your models here. admin.site.register(Neighbourhood) admin.site.register(Profile) admin.site.register(Business)
27.555556
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6.375
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0.084677
248
9
51
27.555556
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0
0
0
4
14ff9455de3a62767428c844b104a10f153b8086
654
py
Python
src/sqlfluff/core/parser/segments/__init__.py
edgarrmondragon/sqlfluff
b410b4803c5fa4d1dfdb1df0be3e0c479dab8ca8
[ "MIT" ]
null
null
null
src/sqlfluff/core/parser/segments/__init__.py
edgarrmondragon/sqlfluff
b410b4803c5fa4d1dfdb1df0be3e0c479dab8ca8
[ "MIT" ]
null
null
null
src/sqlfluff/core/parser/segments/__init__.py
edgarrmondragon/sqlfluff
b410b4803c5fa4d1dfdb1df0be3e0c479dab8ca8
[ "MIT" ]
null
null
null
"""Definitions of the segment classes.""" # flake8: noqa: F401 from sqlfluff.core.parser.segments.base import BaseSegment, UnparsableSegment from sqlfluff.core.parser.segments.generator import SegmentGenerator from sqlfluff.core.parser.segments.raw import ( RawSegment, CodeSegment, UnlexableSegment, CommentSegment, WhitespaceSegment, NewlineSegment, ) from sqlfluff.core.parser.segments.ephemeral import EphemeralSegment from sqlfluff.core.parser.segments.meta import Indent, Dedent, TemplateSegment from sqlfluff.core.parser.segments.keyword import ( KeywordSegment, SymbolSegment, ReSegment, NamedSegment, )
28.434783
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7.656716
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0.187135
0.25731
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0
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0.007092
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79
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true
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0
4
091a620afbaf1d9ae41c6262ca5916e7fbe2b8f7
58
py
Python
brainscore/submission/__init__.py
dmayo/brain-score
3ab4258152c9e3f8c7d29afb10158b184dbcebbe
[ "MIT" ]
52
2019-12-13T06:43:44.000Z
2022-02-21T07:47:39.000Z
brainscore/submission/__init__.py
dmayo/brain-score
3ab4258152c9e3f8c7d29afb10158b184dbcebbe
[ "MIT" ]
104
2019-12-06T18:08:54.000Z
2022-03-31T23:57:51.000Z
brainscore/submission/__init__.py
dmayo/brain-score
3ab4258152c9e3f8c7d29afb10158b184dbcebbe
[ "MIT" ]
32
2019-12-05T14:31:14.000Z
2022-03-10T02:04:45.000Z
""" Score model submissions on Brain-Score benchmarks. """
19.333333
50
0.741379
7
58
6.142857
0.857143
0
0
0
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58
3
51
19.333333
0.843137
0.862069
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null
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4
1197564425f2718d823d9ce2178d2ded66e61120
156
py
Python
ChatBot/API_Package/max/constants.py
LeeChunHao2000/Hi-Blockchain
1be8db74561c690cf195e933dd5ad8c4d0126fba
[ "MIT" ]
1
2020-10-25T03:14:05.000Z
2020-10-25T03:14:05.000Z
ChatBot/API_Package/max/constants.py
LeeChunHao2000/Hi-Blockchain
1be8db74561c690cf195e933dd5ad8c4d0126fba
[ "MIT" ]
null
null
null
ChatBot/API_Package/max/constants.py
LeeChunHao2000/Hi-Blockchain
1be8db74561c690cf195e933dd5ad8c4d0126fba
[ "MIT" ]
null
null
null
PUBLIC_API_URL = 'https://max-api.maicoin.com/api' PRIVATE_API_URL = 'https://max-api.maicoin.com/api' PUBLIC_API_VERSION = 'v2' PRIVATE_API_VERSION = 'v2'
31.2
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156
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0.545455
0.545455
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52
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4
11acfdf51c11b5178b4699a0a1affda8eec637c2
5,075
py
Python
seqgra/learner/proteinhelper.py
gifford-lab/seqgra
3c7547878ecda4c00572746b8a07e0d614c9dbef
[ "MIT" ]
null
null
null
seqgra/learner/proteinhelper.py
gifford-lab/seqgra
3c7547878ecda4c00572746b8a07e0d614c9dbef
[ "MIT" ]
null
null
null
seqgra/learner/proteinhelper.py
gifford-lab/seqgra
3c7547878ecda4c00572746b8a07e0d614c9dbef
[ "MIT" ]
2
2021-06-14T20:27:40.000Z
2021-06-14T20:29:29.000Z
"""MIT - CSAIL - Gifford Lab - seqgra Helper class for functions operating on amino acid sequences @author: Konstantin Krismer """ import re import logging from typing import List import numpy as np class ProteinHelper: @staticmethod def convert_dense_to_one_hot_encoding(seq: str): aa_to_num = dict({"A": 0, "R": 1, "N": 2, "D": 3, "C": 4, "E": 5, "Q": 6, "G": 7, "H": 8, "I": 9, "L": 10, "K": 11, "M": 12, "F": 13, "P": 14, "S": 15, "T": 16, "W": 17, "Y": 18, "V": 19}) seq = list(seq) seq = np.array([aa_to_num[aa] for aa in seq], dtype=int) one_hot_encoded_seq = np.zeros((len(seq), len(aa_to_num))) one_hot_encoded_seq[np.arange(len(seq)), seq] = 1 return one_hot_encoded_seq @staticmethod def convert_one_hot_to_dense_encoding(seq: str): densely_encoded_seq = ["X"] * seq.shape[0] for i in range(seq.shape[0]): if all(seq[i, :] == [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "A" elif all(seq[i, :] == [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "R" elif all(seq[i, :] == [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "N" elif all(seq[i, :] == [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "D" elif all(seq[i, :] == [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "C" elif all(seq[i, :] == [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "E" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "Q" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "G" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "H" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "I" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "L" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "K" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "M" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "F" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0]): densely_encoded_seq[i] = "P" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0]): densely_encoded_seq[i] = "S" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0]): densely_encoded_seq[i] = "T" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0]): densely_encoded_seq[i] = "W" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0]): densely_encoded_seq[i] = "Y" elif all(seq[i, :] == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]): densely_encoded_seq[i] = "V" return "".join(densely_encoded_seq) @staticmethod def check_sequence(seqs: List[str]) -> bool: logger = logging.getLogger(__name__) is_valid: bool = True for seq in seqs: if not re.match("^[ARNDCEQGHILKMFPSTWYV]*$", seq): logger.warning("example with invalid amino acid sequence " "(only uppercase single letter codes of 20 " "canonical amino acids allowed): %s", seq) is_valid = False return is_valid
48.333333
75
0.372611
790
5,075
2.296203
0.158228
0.377067
0.506064
0.599779
0.544101
0.508269
0.492282
0.476295
0.460309
0.444322
0
0.155747
0.449655
5,075
104
76
48.798077
0.493734
0.024631
0
0.25
0
0
0.037022
0.005058
0
0
0
0
0
1
0.032609
false
0
0.043478
0
0.119565
0
0
0
0
null
1
1
1
0
0
0
0
0
0
0
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0
0
0
0
1
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0
0
0
0
0
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null
0
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0
0
0
0
0
0
0
0
0
0
0
4
11c1190712959e0be5910ec6270bccc7a649feb7
377
py
Python
Python/python-practice/chapter3-list/motorcycles.py
jiaoqiyuan/Tests
a3595b0e4b430d910f90e428d6b6b4465f67a059
[ "Apache-2.0" ]
null
null
null
Python/python-practice/chapter3-list/motorcycles.py
jiaoqiyuan/Tests
a3595b0e4b430d910f90e428d6b6b4465f67a059
[ "Apache-2.0" ]
null
null
null
Python/python-practice/chapter3-list/motorcycles.py
jiaoqiyuan/Tests
a3595b0e4b430d910f90e428d6b6b4465f67a059
[ "Apache-2.0" ]
null
null
null
#!/usr/bin/python3 motorcycles = ['honda', 'yamaha', 'suzuki'] print(motorcycles) motorcycles.append('ducati') print(motorcycles) motorcycles.insert(0, 'ducati') print(motorcycles) del motorcycles[0] print(motorcycles) del motorcycles[1] print(motorcycles) poped_motorcycle = motorcycles.pop() print(poped_motorcycle) first_owned = motorcycles.pop(0) print(first_owned)
16.391304
43
0.771883
45
377
6.377778
0.422222
0.278746
0.188153
0.209059
0
0
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0
0
0
0
0.014535
0.087533
377
22
44
17.136364
0.819767
0.045093
0
0.357143
0
0
0.08078
0
0
0
0
0
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1
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false
0
0
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0.5
0
0
0
null
1
1
1
0
0
0
0
0
0
0
0
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0
0
0
0
0
0
0
null
0
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0
0
0
0
0
0
0
1
0
4
11d4c7394cceba5df7b67fc67f0418b59bb0476d
8,353
py
Python
tests/test_types.py
mattrobenolt/ec2
fc1f8bce6cf76899165d9ac006371181d52439f8
[ "BSD-2-Clause" ]
39
2015-01-23T00:21:28.000Z
2020-12-27T19:33:45.000Z
tests/test_types.py
mattrobenolt/ec2
fc1f8bce6cf76899165d9ac006371181d52439f8
[ "BSD-2-Clause" ]
null
null
null
tests/test_types.py
mattrobenolt/ec2
fc1f8bce6cf76899165d9ac006371181d52439f8
[ "BSD-2-Clause" ]
7
2015-06-23T03:23:11.000Z
2020-05-16T13:22:37.000Z
from .base import BaseTestCase import ec2 class InstancesTestCase(BaseTestCase): def test_all(self): "instances.all() should iterate over all reservations and collect all instances, then cache the results" with self._patch_connection() as mock: instances = ec2.instances.all() self.assertEquals(4, len(instances)) # all() should cache the connection and list of instances # so when calling a second time, _connect() shouldn't # be called ec2.instances.all() mock.assert_called_once() # Should only be called once from the initial _connect def test_filters_integration(self): with self._patch_connection(): instances = ec2.instances.filter(state='crap') self.assertEquals(0, len(instances)) instances = ec2.instances.filter(state='running') self.assertEquals(2, len(instances)) self.assertEquals('running', instances[0].state) self.assertEquals('running', instances[1].state) instances = ec2.instances.filter(state='stopped') self.assertEquals(2, len(instances)) self.assertEquals('stopped', instances[0].state) self.assertEquals('stopped', instances[1].state) instances = ec2.instances.filter(id__exact='i-abc0') self.assertEquals(1, len(instances)) instances = ec2.instances.filter(id__iexact='I-ABC0') self.assertEquals(1, len(instances)) instances = ec2.instances.filter(id__like=r'^i\-abc\d$') self.assertEquals(4, len(instances)) instances = ec2.instances.filter(id__ilike=r'^I\-ABC\d$') self.assertEquals(4, len(instances)) instances = ec2.instances.filter(id__contains='1') self.assertEquals(1, len(instances)) instances = ec2.instances.filter(id__icontains='ABC') self.assertEquals(4, len(instances)) instances = ec2.instances.filter(id__startswith='i-') self.assertEquals(4, len(instances)) instances = ec2.instances.filter(id__istartswith='I-') self.assertEquals(4, len(instances)) instances = ec2.instances.filter(id__endswith='c0') self.assertEquals(1, len(instances)) instances = ec2.instances.filter(id__iendswith='C0') self.assertEquals(1, len(instances)) instances = ec2.instances.filter(id__startswith='i-', name__endswith='-0') self.assertEquals(1, len(instances)) instances = ec2.instances.filter(id__isnull=False) self.assertEquals(4, len(instances)) instances = ec2.instances.filter(id__isnull=True) self.assertEquals(0, len(instances)) def test_get_raises(self): with self._patch_connection(): self.assertRaises( ec2.instances.MultipleObjectsReturned, ec2.instances.get, id__startswith='i' ) self.assertRaises( ec2.instances.DoesNotExist, ec2.instances.get, name='crap' ) def test_get(self): with self._patch_connection(): self.assertEquals(ec2.instances.get(id='i-abc0').id, 'i-abc0') class SecurityGroupsTestCase(BaseTestCase): def test_all(self): with self._patch_connection() as mock: groups = ec2.security_groups.all() self.assertEquals(2, len(groups)) # all() should cache the connection and list of instances # so when calling a second time, _connect() shouldn't # be called ec2.security_groups.all() mock.assert_called_once() def test_filters_integration(self): with self._patch_connection(): groups = ec2.security_groups.filter(name='crap') self.assertEquals(0, len(groups)) groups = ec2.security_groups.filter(id__exact='sg-abc0') self.assertEquals(1, len(groups)) groups = ec2.security_groups.filter(id__iexact='SG-ABC0') self.assertEquals(1, len(groups)) groups = ec2.security_groups.filter(id__like=r'^sg\-abc\d$') self.assertEquals(2, len(groups)) groups = ec2.security_groups.filter(id__ilike=r'^SG\-ABC\d$') self.assertEquals(2, len(groups)) groups = ec2.security_groups.filter(id__contains='1') self.assertEquals(1, len(groups)) groups = ec2.security_groups.filter(id__icontains='ABC') self.assertEquals(2, len(groups)) groups = ec2.security_groups.filter(id__startswith='sg-') self.assertEquals(2, len(groups)) groups = ec2.security_groups.filter(id__istartswith='SG-') self.assertEquals(2, len(groups)) groups = ec2.security_groups.filter(id__endswith='c0') self.assertEquals(1, len(groups)) groups = ec2.security_groups.filter(id__iendswith='C0') self.assertEquals(1, len(groups)) groups = ec2.security_groups.filter(id__startswith='sg-', name__endswith='-0') self.assertEquals(1, len(groups)) groups = ec2.security_groups.filter(id__isnull=False) self.assertEquals(2, len(groups)) groups = ec2.security_groups.filter(id__isnull=True) self.assertEquals(0, len(groups)) def test_get_raises(self): with self._patch_connection(): self.assertRaises( ec2.security_groups.MultipleObjectsReturned, ec2.security_groups.get, id__startswith='sg' ) self.assertRaises( ec2.security_groups.DoesNotExist, ec2.security_groups.get, name='crap' ) def test_get(self): with self._patch_connection(): self.assertEquals(ec2.security_groups.get(id='sg-abc0').id, 'sg-abc0') class VPCTestCase(BaseTestCase): def test_all(self): with self._patch_vpc_connection() as mock: vpcs = ec2.vpcs.all() self.assertEquals(2, len(vpcs)) ec2.vpcs.all() mock.assert_called_once() def test_filters_integration(self): with self._patch_vpc_connection(): groups = ec2.vpcs.filter(id__exact='vpc-abc0') self.assertEquals(1, len(groups)) groups = ec2.vpcs.filter(id__iexact='VPC-ABC0') self.assertEquals(1, len(groups)) groups = ec2.vpcs.filter(id__like=r'^vpc\-abc\d$') self.assertEquals(2, len(groups)) groups = ec2.vpcs.filter(id__ilike=r'^VPC\-ABC\d$') self.assertEquals(2, len(groups)) groups = ec2.vpcs.filter(id__contains='1') self.assertEquals(1, len(groups)) groups = ec2.vpcs.filter(id__icontains='ABC') self.assertEquals(2, len(groups)) groups = ec2.vpcs.filter(id__startswith='vpc-') self.assertEquals(2, len(groups)) groups = ec2.vpcs.filter(id__istartswith='vpc-') self.assertEquals(2, len(groups)) groups = ec2.vpcs.filter(id__endswith='c0') self.assertEquals(1, len(groups)) groups = ec2.vpcs.filter(id__iendswith='C0') self.assertEquals(1, len(groups)) groups = ec2.vpcs.filter(id__startswith='vpc-', dhcp_options_id__endswith='abc0') self.assertEquals(1, len(groups)) groups = ec2.vpcs.filter(id__isnull=False) self.assertEquals(2, len(groups)) groups = ec2.vpcs.filter(id__isnull=True) self.assertEquals(0, len(groups)) def test_get_raises(self): with self._patch_vpc_connection(): self.assertRaises( ec2.vpcs.MultipleObjectsReturned, ec2.vpcs.get, id__startswith='vpc' ) self.assertRaises( ec2.vpcs.DoesNotExist, ec2.vpcs.get, name='crap' ) def test_get(self): with self._patch_vpc_connection(): self.assertEquals(ec2.vpcs.get(id='vpc-abc0').id, 'vpc-abc0')
36.160173
112
0.596432
927
8,353
5.193096
0.099245
0.176153
0.077898
0.093477
0.823224
0.73494
0.708558
0.65995
0.622559
0.60054
0
0.023322
0.286484
8,353
230
113
36.317391
0.784396
0.046929
0
0.521212
0
0
0.04704
0
0
0
0
0
0.375758
1
0.072727
false
0
0.012121
0
0.10303
0
0
0
0
null
0
0
0
1
1
1
0
0
1
0
0
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0
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0
0
0
0
0
0
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null
0
0
0
0
0
0
0
0
0
0
0
0
0
4
11d5a1010c0d171b417630772a35dc0785d790f0
203
py
Python
NaN.py
meinertsen/python
637fc0cb89daf8bd34a015f42b3166954fb2ba59
[ "Apache-2.0" ]
null
null
null
NaN.py
meinertsen/python
637fc0cb89daf8bd34a015f42b3166954fb2ba59
[ "Apache-2.0" ]
null
null
null
NaN.py
meinertsen/python
637fc0cb89daf8bd34a015f42b3166954fb2ba59
[ "Apache-2.0" ]
null
null
null
# Names of columns that contains NaN [k for k,l in [(i,j) for i,j in zip(df,df.isnull().sum())] if l] # Columns that contains NaN df[[k for k,l in [(i,j) for i,j in zip(df,df.isnull().sum())] if l]]
25.375
68
0.615764
47
203
2.659574
0.361702
0.064
0.304
0.352
0.576
0.576
0.576
0.576
0.576
0.576
0
0
0.187192
203
7
69
29
0.757576
0.295567
0
0
0
0
0
0
0
0
0
0
0
1
0
true
0
0
0
0
0
0
0
0
null
0
1
1
0
0
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0
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0
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0
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0
0
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null
0
0
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0
0
0
1
0
0
0
0
0
0
4
11f519d76007ed9dec956f7e3cee98912a8839a5
122
py
Python
onadata/apps/restservice/services/__init__.py
ubpd/kobocat
45906e07e8f05c30e3e26bab5570a8ab1ee264db
[ "BSD-2-Clause" ]
null
null
null
onadata/apps/restservice/services/__init__.py
ubpd/kobocat
45906e07e8f05c30e3e26bab5570a8ab1ee264db
[ "BSD-2-Clause" ]
null
null
null
onadata/apps/restservice/services/__init__.py
ubpd/kobocat
45906e07e8f05c30e3e26bab5570a8ab1ee264db
[ "BSD-2-Clause" ]
null
null
null
# coding: utf-8 from __future__ import unicode_literals, print_function, division, absolute_import __all__ = ('kpi_hook')
30.5
82
0.803279
16
122
5.375
0.9375
0
0
0
0
0
0
0
0
0
0
0.009174
0.106557
122
3
83
40.666667
0.779817
0.106557
0
0
0
0
0.074766
0
0
0
0
0
0
1
0
false
0
0.5
0
0.5
0.5
1
0
0
null
0
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null
0
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0
0
0
0
1
0
0
1
0
4
11f63cdd3e5e638b3e8118f84410dec63b5abaed
8,271
py
Python
Tests/qualreas_doctests.py
alreich/qualreas
e1f94fe79a9043cfc6ae83e04ff03aaa608f373f
[ "MIT" ]
11
2021-03-07T12:20:59.000Z
2021-12-02T06:15:17.000Z
Tests/qualreas_doctests.py
alreich/qualreas
e1f94fe79a9043cfc6ae83e04ff03aaa608f373f
[ "MIT" ]
null
null
null
Tests/qualreas_doctests.py
alreich/qualreas
e1f94fe79a9043cfc6ae83e04ff03aaa608f373f
[ "MIT" ]
3
2021-11-22T08:50:50.000Z
2022-01-18T09:18:38.000Z
""" DOC TESTS: To run the tests type the following command in a terminal window: "python -m doctest -v qualreas_doctests.py" >>> import os The environment variable, PYPROJ, should be set to the directory where the 'qualreas' project resides: >>> path = os.path.join( os.getenv('PYPROJ'), 'qualreas' ) ----------------- Interval Algebra: ----------------- Algebras are created by reading their definition from a JSON file: >>> alg0 = Algebra(os.path.join(path, "LinearIntervalAlgebra.json")) Use the 'relations' property to obtain the full set of relations in the algebra: >>> rels0 = alg0.relations Only relation sets can be 'multiplied', so create a couple of one-element sets, {Before} & {Met-By}: >>> b0 = RelationSet([rels0["B"]], alg0) >>> mi0 = RelationSet([rels0["MI"]], alg0) Now 'multiply' them together: Before * Met-By: >>> sorted(b0 * mi0, key=lambda rel: rel.short_name) [B, D, M, O, S] The following computations illustrate an identity involving relation set multiplication, that is, if X & Y are two relation sets and 'inv()' inverts a relation set, then: X * Y = inv(inv(Y) * inv(X)) inv( inv(Met-By) * inv(Before) ): >>> sorted( (mi0.converse * b0.converse).converse , key=lambda rel: rel.short_name) [B, D, M, O, S] Met-By * Before: >>> sorted(mi0 * b0, key=lambda rel: rel.short_name) [B, DI, FI, M, O] inv( inv(Before) * inv(Met-By) ): >>> sorted( (b0.converse * mi0.converse).converse , key=lambda rel: rel.short_name) [B, DI, FI, M, O] Relation sets can also be 'added' together. 'Addition' here is actually set intersection: (Before * Met-By) + (Met-By * Before): >>> sorted( (b0 * mi0) + (mi0 * b0), key=lambda rel: rel.short_name) [B, M, O] >>> alg0.all_equality_relations [E] The examples shown, above, are repeated for three more relation algebras in the next three sections. In each example, note how different relation sets (from those obtained, above) result from multiplications of what looks like the same relation sets (i.e., point, left-branching, and right-branching relations get pulled in to play): ------------------------- Interval & Point Algebra: ------------------------- >>> alg1 = Algebra(os.path.join(path, "ExtendedLinearIntervalAlgebra.json")) >>> rels1 = alg1.relations >>> b1 = RelationSet([rels1["B"]], alg1) >>> mi1 = RelationSet([rels1["MI"]], alg1) Before * Met-By: >>> sorted(b1 * mi1, key=lambda rel: rel.short_name) [B, D, M, O, PS, S] inv( inv(Met-By) * inv(Before) ): >>> sorted( (mi1.converse * b1.converse).converse , key=lambda rel: rel.short_name) [B, D, M, O, PS, S] Met-By * Before: >>> sorted(mi1 * b1, key=lambda rel: rel.short_name) [B, DI, FI, M, O, PFI] inv( inv(Before) * inv(Met-By) ): >>> sorted( (b1.converse * mi1.converse).converse , key=lambda rel: rel.short_name) [B, DI, FI, M, O, PFI] (Before * Met-By) + (Met-By * Before): >>> sorted( (b1 * mi1) + (mi1 * b1), key=lambda rel: rel.short_name) [B, M, O] >>> sorted(alg1.all_equality_relations, key=lambda rel: rel.short_name) [E, PE] ---------------------------------------- Left-Branching Interval & Point Algebra: ---------------------------------------- >>> alg2 = Algebra(os.path.join(path, "LeftBranchingIntervalAlgebra.json")) >>> rels2 = alg2.relations >>> b2 = RelationSet([rels2["B"]], alg2) >>> mi2 = RelationSet([rels2["MI"]], alg2) Before * Met-By: >>> sorted(b2 * mi2, key=lambda rel: rel.short_name) [B, D, LB, LO, M, O, PS, S] inv( inv(Met-By) * inv(Before) ): >>> sorted( (mi2.converse * b2.converse).converse , key=lambda rel: rel.short_name) [B, D, LB, LO, M, O, PS, S] Met-By * Before: >>> sorted(mi2 * b2, key=lambda rel: rel.short_name) [B, DI, FI, M, O, PFI] inv( inv(Before) * inv(Met-By) ): >>> sorted( (b2.converse * mi2.converse).converse , key=lambda rel: rel.short_name) [B, DI, FI, M, O, PFI] (Before * Met-By) + (Met-By * Before): >>> sorted( (b2 * mi2) + (mi2 * b2), key=lambda rel: rel.short_name) [B, M, O] >>> sorted(alg2.all_equality_relations, key=lambda rel: rel.short_name) [E, PE] ----------------------------------------- Right-Branching Interval & Point Algebra: ----------------------------------------- >>> alg3 = Algebra(os.path.join(path, "RightBranchingIntervalAlgebra.json")) >>> rels3 = alg3.relations >>> b3 = RelationSet([rels3["B"]], alg3) >>> mi3 = RelationSet([rels3["MI"]], alg3) Before * Met-By: >>> sorted(b3 * mi3, key=lambda rel: rel.short_name) [B, D, M, O, PS, S] inv( inv(Met-By) * inv(Before) ): >>> sorted( (mi3.converse * b3.converse).converse , key=lambda rel: rel.short_name) [B, D, M, O, PS, S] Met-By * Before: >>> sorted(mi3 * b3, key=lambda rel: rel.short_name) [B, DI, FI, M, O, PFI, RB, RO] inv( inv(Before) * inv(Met-By) ): >>> sorted( (b3.converse * mi3.converse).converse , key=lambda rel: rel.short_name) [B, DI, FI, M, O, PFI, RB, RO] (Before * Met-By) + (Met-By * Before): >>> sorted( (b3 * mi3) + (mi3 * b3), key=lambda rel: rel.short_name) [B, M, O] >>> sorted(alg3.all_equality_relations, key=lambda rel: rel.short_name) [E, PE] ----------------------------- Region Connection Calculus 8: ----------------------------- >>> alg4 = Algebra(os.path.join(path, "RCC8Algebra.json")) >>> rels4 = alg4.relations >>> DC = rels4['DC'] >>> EC = rels4['EC'] >>> PO = rels4['PO'] >>> TPP = rels4['TPP'] >>> NTPP = rels4['NTPP'] >>> TPPI = rels4['TPPI'] >>> NTPPI = rels4['NTPPI'] >>> EQ = rels4['EQ'] >>> house1 = SpatialObject(['Region'], 'house1') >>> house2 = SpatialObject(['Region'], 'house2') >>> property1 = SpatialObject(['Region'], 'property1') >>> property2 = SpatialObject(['Region'], 'property2') >>> road = SpatialObject(['Region'], 'road') >>> net4 = Network(alg4, "Wikipedia RCC8 Example") house1 {DC} house2: >>> net4.constraint(house1,house2,[DC]) house1 {TPP,NTPP} property1: >>> net4.constraint(house1,property1,[TPP,NTPP]) house1 {DC,EC} property2: >>> net4.constraint(house1,property2,[DC,EC]) house1 {EC} road: >>> net4.constraint(house1,road,[EC]) house2 {DC,EC} property1: >>> net4.constraint(house2,property1,[DC,EC]) house2 {NTPP} property2: >>> net4.constraint(house2,property2,[NTPP]) house2 {EC} road: >>> net4.constraint(house2,road,[EC]) property1 {DC,EC} property2: >>> net4.constraint(property1,property2,[DC,EC]) road { DC, EC, TPP, TPPi, PO, EQ, NTPP, NTPPi } property1 >>> net4.constraint(road,property1,[DC,EC,TPP,TPPI,PO,EQ,NTPP,NTPPI]) road { DC, EC, TPP, TPPi, PO, EQ, NTPP, NTPPi } property2 >>> net4.constraint(road,property2,[DC,EC,TPP,TPPI,PO,EQ,NTPP,NTPPI]) >>> net4.print_constraints() <BLANKLINE> <Network: Wikipedia RCC8 Example, 5 entities> Constraints: (Source, Target, RelationSet) house1, house1, [EQ] house1, house2, [DC] house1, property1, [NTPP, TPP] house1, property2, [DC, EC] house1, road, [EC] house2, house1, [DC] house2, house2, [EQ] house2, property1, [DC, EC] house2, property2, [NTPP] house2, road, [EC] property1, house1, [NTPPI, TPPI] property1, house2, [DC, EC] property1, property1, [EQ] property1, property2, [DC, EC] property1, road, [NTPPI, NTPP, DC, EC, TPPI, TPP, EQ, PO] property2, house1, [DC, EC] property2, house2, [NTPPI] property2, property1, [DC, EC] property2, property2, [EQ] property2, road, [NTPPI, NTPP, DC, EC, TPPI, TPP, EQ, PO] road, house1, [EC] road, house2, [EC] road, property1, [NTPPI, NTPP, DC, EC, TPPI, TPP, EQ, PO] road, property2, [NTPPI, NTPP, DC, EC, TPPI, TPP, EQ, PO] road, road, [EQ] >>> net4.propagate() >>> net4.print_constraints() <BLANKLINE> <Network: Wikipedia RCC8 Example, 5 entities> Constraints: (Source, Target, RelationSet) house1, house1, [EQ] house1, house2, [DC] house1, property1, [NTPP, TPP] house1, property2, [DC, EC] house1, road, [EC] house2, house1, [DC] house2, house2, [EQ] house2, property1, [DC] house2, property2, [NTPP] house2, road, [EC] property1, house1, [NTPPI, TPPI] property1, house2, [DC] property1, property1, [EQ] property1, property2, [DC, EC] property1, road, [EC, PO] property2, house1, [DC, EC] property2, house2, [NTPPI] property2, property1, [DC, EC] property2, property2, [EQ] property2, road, [TPPI, PO] road, house1, [EC] road, house2, [EC] road, property1, [EC, PO] road, property2, [TPP, PO] road, road, [EQ] """ from qualreas import *
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Python
tgproxy/errors.py
unhandled-exception/tgproxy
85c2256bf8579f5578df2062f436dfdd17e5618a
[ "MIT" ]
1
2021-10-11T20:38:42.000Z
2021-10-11T20:38:42.000Z
tgproxy/errors.py
unhandled-exception/tgproxy
85c2256bf8579f5578df2062f436dfdd17e5618a
[ "MIT" ]
null
null
null
tgproxy/errors.py
unhandled-exception/tgproxy
85c2256bf8579f5578df2062f436dfdd17e5618a
[ "MIT" ]
null
null
null
class UnknownChannelType(Exception): pass class BaseError(Exception): http_status = 500 class QueueFull(BaseError): http_status = 503 class ChannelNotFound(BaseError): http_status = 404
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py
Python
miprometheus/problems/seq_to_seq/algorithmic/dual_distraction/__init__.py
vincentalbouy/mi-prometheus
99a0c94b0d0f3476fa021213b3246fda0db8b2db
[ "Apache-2.0" ]
null
null
null
miprometheus/problems/seq_to_seq/algorithmic/dual_distraction/__init__.py
vincentalbouy/mi-prometheus
99a0c94b0d0f3476fa021213b3246fda0db8b2db
[ "Apache-2.0" ]
null
null
null
miprometheus/problems/seq_to_seq/algorithmic/dual_distraction/__init__.py
vincentalbouy/mi-prometheus
99a0c94b0d0f3476fa021213b3246fda0db8b2db
[ "Apache-2.0" ]
null
null
null
from .distraction_carry import DistractionCarry from .distraction_forget import DistractionForget from .distraction_ignore import DistractionIgnore __all__ = [ 'DistractionCarry', 'DistractionForget', 'DistractionIgnore' ]
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py
Python
mycal/fibcal/apps.py
jajayongjia/FibBreaker
06db01d13a6932bd9c13daa546b554f6952dc2fe
[ "MIT" ]
null
null
null
mycal/fibcal/apps.py
jajayongjia/FibBreaker
06db01d13a6932bd9c13daa546b554f6952dc2fe
[ "MIT" ]
null
null
null
mycal/fibcal/apps.py
jajayongjia/FibBreaker
06db01d13a6932bd9c13daa546b554f6952dc2fe
[ "MIT" ]
null
null
null
from django.apps import AppConfig class FibcalConfig(AppConfig): name = 'fibcal'
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py
Python
function.py
Kar1o/python-class
614b3053314a08f96ff56c796f3dcfb9c04d06d1
[ "Unlicense" ]
null
null
null
function.py
Kar1o/python-class
614b3053314a08f96ff56c796f3dcfb9c04d06d1
[ "Unlicense" ]
null
null
null
function.py
Kar1o/python-class
614b3053314a08f96ff56c796f3dcfb9c04d06d1
[ "Unlicense" ]
null
null
null
my_list = [1, 2, 3] def add_list(my_list): for i in my_list: sum_list = my_list[i] + sum_list return sum_list def sumarize(add_list): print("sum of " + my_list + "is" + add_list()) add_list(my_list) sumarize()
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py
Python
Chapter 07/ch7_2_25.py
bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE
f6a4194684515495d00aa38347a725dd08f39a0c
[ "MIT" ]
null
null
null
Chapter 07/ch7_2_25.py
bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE
f6a4194684515495d00aa38347a725dd08f39a0c
[ "MIT" ]
null
null
null
Chapter 07/ch7_2_25.py
bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE
f6a4194684515495d00aa38347a725dd08f39a0c
[ "MIT" ]
null
null
null
def student(firstname, lastname ='Garg', year ='First'): print(firstname, lastname, 'studies in', year, 'year') student('Sujay')
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py
Python
unittest/unittest/2_FizzBuzzTest.py
fly2rain/try_git_pycharm
0bb6b6b05c9d5942c46fa572a5f4dbaa90309b8a
[ "Unlicense" ]
null
null
null
unittest/unittest/2_FizzBuzzTest.py
fly2rain/try_git_pycharm
0bb6b6b05c9d5942c46fa572a5f4dbaa90309b8a
[ "Unlicense" ]
null
null
null
unittest/unittest/2_FizzBuzzTest.py
fly2rain/try_git_pycharm
0bb6b6b05c9d5942c46fa572a5f4dbaa90309b8a
[ "Unlicense" ]
null
null
null
# cf. https://www.linkedin.com/learning/unit-testing-and-test-driven-development-in-python/example-tdd-session-the-fizzbuzz-kata?u=26192810 import pytest def fizzBuzz(x): return str(x) def checkFizzBuzz(value, expectedRetVal): retVal = fizzBuzz(value) assert retVal == expectedRetVal def test_returns1With1PassedIn(): checkFizzBuzz(1, "1")
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py
Python
kooie/Q01/Q01Py.py
kooie/MathPazzles70
726efc82fc7b95ad0aca78f3017c5c3c59fb0118
[ "MIT" ]
null
null
null
kooie/Q01/Q01Py.py
kooie/MathPazzles70
726efc82fc7b95ad0aca78f3017c5c3c59fb0118
[ "MIT" ]
3
2018-10-06T14:59:03.000Z
2018-10-18T09:04:09.000Z
kooie/Q01/Q01Py.py
kooie/MathPazzles70
726efc82fc7b95ad0aca78f3017c5c3c59fb0118
[ "MIT" ]
1
2018-10-06T10:17:11.000Z
2018-10-06T10:17:11.000Z
# 回文判定 def isKaibun(str): return str == str[::-1] loopFlg = True i = 10 while (loopFlg): if (isKaibun(format(i,"d")) and isKaibun(format(i,"o")) and isKaibun(format(i,"b"))): loopFlg = False print(i) i += 1
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py
Python
run_manual.py
hreeder/lambda-github-secgroup-updater
ce9e2d569da07d7d5144a1059d389525f8c46b37
[ "MIT" ]
null
null
null
run_manual.py
hreeder/lambda-github-secgroup-updater
ce9e2d569da07d7d5144a1059d389525f8c46b37
[ "MIT" ]
null
null
null
run_manual.py
hreeder/lambda-github-secgroup-updater
ce9e2d569da07d7d5144a1059d389525f8c46b37
[ "MIT" ]
null
null
null
#!/usr/bin/env python from secgrp_updater.main import run run()
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py
Python
python-django/ch1_helloworld/main_app/urls.py
Rokon-Uz-Zaman/thinkdiff_python_django
5010c5f1dd8a028fb9e5235319bb6bb434831e6c
[ "MIT" ]
92
2018-04-03T20:53:07.000Z
2022-03-04T05:53:10.000Z
django-framework/ch1_helloworld/main_app/urls.py
mostafijur-rahman299/thinkdiff
b0e0c01fe38c406f4dfa8cc80b2f0c5654017079
[ "MIT" ]
11
2018-10-01T15:35:33.000Z
2021-09-01T04:59:56.000Z
django-framework/ch1_helloworld/main_app/urls.py
mostafijur-rahman299/thinkdiff
b0e0c01fe38c406f4dfa8cc80b2f0c5654017079
[ "MIT" ]
98
2018-03-13T08:03:54.000Z
2022-03-22T08:11:44.000Z
from django.urls import path from . import views urlpatterns = [ path('', views.homeView, name="home"), path('home/', views.homeView, name="home"), path('another/', views.anotherView, name="another") ]
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4
6d6ad60cf9607e5f5e637ef2bf051cef7da8f507
140
py
Python
test/manual_tests/conftest.py
d33jiang/pytils
6e44a05480abec6297b77730676bcb5fd5088f6f
[ "MIT" ]
null
null
null
test/manual_tests/conftest.py
d33jiang/pytils
6e44a05480abec6297b77730676bcb5fd5088f6f
[ "MIT" ]
null
null
null
test/manual_tests/conftest.py
d33jiang/pytils
6e44a05480abec6297b77730676bcb5fd5088f6f
[ "MIT" ]
null
null
null
# noinspection PyUnusedLocal def pytest_ignore_collect(path, config): """Ignore all files in this test subdirectory.""" return True
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4
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4
6d78c65652e8ad67a4b14cc31e751f6eb95ebe1e
600
py
Python
tokenwiser/textprep/_cleaner.py
Btibert3/tokenwiser
64f78be285d24ebc53bcc6991466517aed633888
[ "Apache-2.0" ]
50
2020-11-21T04:29:34.000Z
2022-02-12T11:16:52.000Z
tokenwiser/textprep/_cleaner.py
Btibert3/tokenwiser
64f78be285d24ebc53bcc6991466517aed633888
[ "Apache-2.0" ]
33
2020-11-26T11:03:52.000Z
2021-12-04T20:27:44.000Z
tokenwiser/textprep/_cleaner.py
Btibert3/tokenwiser
64f78be285d24ebc53bcc6991466517aed633888
[ "Apache-2.0" ]
7
2021-04-07T08:54:34.000Z
2021-11-11T00:18:17.000Z
from sklearn.base import BaseEstimator from ._prep import TextPrep class Cleaner(TextPrep, BaseEstimator): """ Applies a lowercase and removes non-alphanum. Usage: ```python from tokenwiser.textprep import Cleaner single = Cleaner().encode_single("$$$5 dollars") assert single == "5 dollars" multi = Cleaner().transform(["$$$5 dollars", "#hashtag!"]) assert multi == ["5 dollars", "hashtag"] ``` """ def __init__(self): pass def encode_single(self, x: str): return "".join([c.lower() for c in x if c.isalnum() or c == " "])
22.222222
73
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600
5.098592
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0
1
0
1
1
0
0
4
6da164d36084e1e967aa3b11c562febec49d7208
632
py
Python
database/_create.py
bsoe003/MWCH_Website
d4b54b881fa8f0706c24372d783fc3f325319af3
[ "MIT" ]
null
null
null
database/_create.py
bsoe003/MWCH_Website
d4b54b881fa8f0706c24372d783fc3f325319af3
[ "MIT" ]
null
null
null
database/_create.py
bsoe003/MWCH_Website
d4b54b881fa8f0706c24372d783fc3f325319af3
[ "MIT" ]
null
null
null
#!flask/bin/python """ Filename: _create.py From: Miguel Grinberg Description: Creates database table from models.py. """ import sys sys.path.append('..') from migrate.versioning import api from config import SQLALCHEMY_DATABASE_URI from config import SQLALCHEMY_MIGRATE_REPO from dev import db import os.path db.create_all() if not os.path.exists(SQLALCHEMY_MIGRATE_REPO): api.create(SQLALCHEMY_MIGRATE_REPO, 'database repository') api.version_control(SQLALCHEMY_DATABASE_URI, SQLALCHEMY_MIGRATE_REPO) else: api.version_control(SQLALCHEMY_DATABASE_URI, SQLALCHEMY_MIGRATE_REPO, api.version(SQLALCHEMY_MIGRATE_REPO))
27.478261
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0.816456
87
632
5.678161
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22
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1
0
0
0
0
4
6dad8c1206bcf75178861ae04ccba00b0e7d4b0b
88
py
Python
templates/python2/main.py
m0ch1m0ch1/ac-deck
84aa1a9dd1b4cbf97bd05431a58060e15890ee81
[ "Apache-2.0" ]
26
2020-02-10T12:16:10.000Z
2020-05-02T04:45:55.000Z
templates/python2/main.py
m0ch1m0ch1/ac-deck
84aa1a9dd1b4cbf97bd05431a58060e15890ee81
[ "Apache-2.0" ]
7
2020-02-10T10:32:51.000Z
2020-04-12T11:37:03.000Z
templates/python2/main.py
m0ch1m0ch1/ac-deck
84aa1a9dd1b4cbf97bd05431a58060e15890ee81
[ "Apache-2.0" ]
5
2020-02-26T06:47:44.000Z
2020-04-04T13:45:37.000Z
# Code for {{.Task.Name}} # Use raw_input() to fetch data from STDIN print "Hello world"
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88
3
43
29.333333
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4
6dc7e51bff4fd54834451c16acdaea3f422dde39
113
py
Python
sequencing_facility/__init__.py
mytardis/mytardis-seqfac
bd48ec74d8c602ceaf982ac3d58df82ee6c99a85
[ "Apache-2.0" ]
1
2020-02-12T00:54:15.000Z
2020-02-12T00:54:15.000Z
sequencing_facility/__init__.py
mytardis/mytardis-seqfac
bd48ec74d8c602ceaf982ac3d58df82ee6c99a85
[ "Apache-2.0" ]
1
2016-10-04T23:18:51.000Z
2016-10-05T04:20:28.000Z
sequencing_facility/__init__.py
mytardis/mytardis-seqfac
bd48ec74d8c602ceaf982ac3d58df82ee6c99a85
[ "Apache-2.0" ]
1
2021-02-12T18:40:44.000Z
2021-02-12T18:40:44.000Z
import settings __version__ = '1.22.3' default_app_config = 'sequencing_facility.apps.SequencingFacilityConfig'
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113
4
73
28.25
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1
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0
0
4
6ddf4a9de943845092257816f97a75569b81c183
595
py
Python
pyredux/internal/store.py
rikbruil/pyredux
eed77ef94563f44da13f4cb8fce2ba72bb66a633
[ "MIT" ]
1
2016-12-03T15:13:09.000Z
2016-12-03T15:13:09.000Z
pyredux/internal/store.py
rikbruil/pyredux
eed77ef94563f44da13f4cb8fce2ba72bb66a633
[ "MIT" ]
null
null
null
pyredux/internal/store.py
rikbruil/pyredux
eed77ef94563f44da13f4cb8fce2ba72bb66a633
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- class BaseStore: _store = None def __init__(self, store): self._store = store def dispatch(self, action): return self._store['dispatch'](action) def get_state(self): return self._store['get_state']() class Store(BaseStore): _store = None def __init__(self, store): self._store = store BaseStore.__init__(self, store) def subscribe(self, listener): return self._store['subscribe'](listener) def replace_reducer(self, reducer): return self._store['replace_reducer'](reducer)
20.517241
54
0.630252
68
595
5.161765
0.279412
0.230769
0.17094
0.119658
0.273504
0.273504
0.273504
0.273504
0.273504
0.273504
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0.002227
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0.77951
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0
0
1
1
0
0
4
6de411dfa43267fc283dc5695072821da88670ae
3,539
py
Python
ucsv/ucsv.py
smbapps/ucsv
e1119f306abc601d7d423608e71133d41e47a003
[ "MIT" ]
1
2017-06-30T08:51:30.000Z
2017-06-30T08:51:30.000Z
ucsv/ucsv.py
smbapps/ucsv
e1119f306abc601d7d423608e71133d41e47a003
[ "MIT" ]
null
null
null
ucsv/ucsv.py
smbapps/ucsv
e1119f306abc601d7d423608e71133d41e47a003
[ "MIT" ]
null
null
null
""" CSV reader and writer for unicode strings, from http://docs.python.org/2/library/csv.html#examples with the addition of UnicodeDictReader, UnicodeDictWriter, and optimizations for passing through UTF-8. """ from __future__ import absolute_import import cStringIO as StringIO import codecs import csv class Recoder: """ Iterator that decodes an input stream and reencodes on output. """ def __init__(self, f, input_encoding="utf-8", output_encoding="utf-8"): if input_encoding == output_encoding: self.passthrough = True self.reader = iter(f) else: self.passthrough = False self.reader = codecs.getreader(input_encoding)(f) self.encoder = codecs.getincrementalencoder(output_encoding)() def __iter__(self): return self def next(self): if self.passthrough: return self.reader.next() else: return self.encoder.encode(self.reader.next()) class UnicodeReader(object): """ A CSV reader which will iterate over lines in the CSV file "f", which is encoded in the given encoding. """ csv_reader = csv.reader def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds): f = Recoder(f, input_encoding=encoding, output_encoding="utf-8") self.reader = self.csv_reader(f, dialect=dialect, **kwds) def _decode_row_utf8(self, row): return [unicode(s, "utf-8") for s in row] def next(self): row = self.reader.next() return self._decode_row_utf8(row) def __iter__(self): return self def __getattr__(self, name): return getattr(self.reader, name) class UnicodeWriter(object): """ A CSV writer which will write rows to CSV file "f", which is encoded in the given encoding. """ csv_writer = csv.writer def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds): if encoding == "utf-8": self.passthrough = True self.writer = self.csv_writer(f, dialect=dialect, **kwds) else: # Redirect output to a queue self.queue = StringIO.StringIO() self.writer = self.csv_writer(self.queue, dialect=dialect, **kwds) self.stream = f self.encoder = codecs.getincrementalencoder(encoding)() def _encode_row_utf8(self, row): return [s.encode("utf-8") for s in row] def writerow(self, row): self.writer.writerow(self._encode_row_utf8(row)) if not self.passthrough: # Fetch UTF-8 output from the queue, reencode to the target # encoding. data = self.queue.getvalue().decode("utf-8") data = self.encoder.encode(data) self.stream.write(data) self.queue.truncate(0) def writerows(self, rows): for row in rows: self.writerow(row) def __getattr__(self, name): return getattr(self.writer, name) class UnicodeDictReader(UnicodeReader): csv_reader = csv.DictReader def _decode_row_utf8(self, row): return dict((unicode(k, "utf-8"), unicode(v, "utf-8")) for k, v in row.items()) class UnicodeDictWriter(UnicodeWriter): csv_writer = csv.DictWriter def __init__(self, f, fieldnames, **kwds): kwds['fieldnames'] = fieldnames super(UnicodeDictWriter, self).__init__(f, **kwds) def _encode_row_utf8(self, row): return dict((k.encode("utf-8"), v.encode("utf-8")) for k, v in row.items())
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4
6df1a2fc0da1ef95d083afa6f8ccba4a1bfde29a
332
py
Python
engine/station_control/unittests/test_generic_text.py
geeklevi/PythonElectron
0a01b8842a56f91338de6c341bb1c2037aaae359
[ "CC0-1.0" ]
null
null
null
engine/station_control/unittests/test_generic_text.py
geeklevi/PythonElectron
0a01b8842a56f91338de6c341bb1c2037aaae359
[ "CC0-1.0" ]
null
null
null
engine/station_control/unittests/test_generic_text.py
geeklevi/PythonElectron
0a01b8842a56f91338de6c341bb1c2037aaae359
[ "CC0-1.0" ]
null
null
null
# import sys # sys.path.append("..") import unittest from unittest import TestCase from ..test_plans import generic_test # from generic_test import GenericTestPlan class MainUnitTest(TestCase): def test_smu_have_address(self): self.assertTrue(1, 1) def test_can_set_smu_address(self): self.assertTrue(2, 2)
25.538462
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0.126582
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0.165663
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0
1
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0
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4
096e9d181a5bb18eed99dd629e7e592630754b8c
85
py
Python
award/apps.py
Fridah-Alwanga/Award
bc67421f54859430e4c43355705ed3662b67e5ca
[ "MIT" ]
null
null
null
award/apps.py
Fridah-Alwanga/Award
bc67421f54859430e4c43355705ed3662b67e5ca
[ "MIT" ]
null
null
null
award/apps.py
Fridah-Alwanga/Award
bc67421f54859430e4c43355705ed3662b67e5ca
[ "MIT" ]
null
null
null
from django.apps import AppConfig class awardConfig(AppConfig): name = 'award'
14.166667
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0.741176
10
85
6.3
0.9
0
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85
5
34
17
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1
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0
4
0992a02598a9345cbd6f767f61ea0ce9984bd3a3
53
py
Python
or-tools/utils/__init__.py
temur-kh/pdp-drl-project
eeb0194e03ed9953837eb712b6a6a2b38e64aa91
[ "MIT" ]
7
2021-12-04T13:56:23.000Z
2022-03-23T02:12:26.000Z
or-tools/utils/__init__.py
temur-kh/pdp-drl-project
eeb0194e03ed9953837eb712b6a6a2b38e64aa91
[ "MIT" ]
null
null
null
or-tools/utils/__init__.py
temur-kh/pdp-drl-project
eeb0194e03ed9953837eb712b6a6a2b38e64aa91
[ "MIT" ]
null
null
null
from .error import * from .response_builder import *
17.666667
31
0.773585
7
53
5.714286
0.714286
0
0
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0.150943
53
2
32
26.5
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true
0
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0
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1
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1
0
0
0
0
4
09b38c84fed2df6b2896dc0dfad7e42ee4630e10
1,007
py
Python
tests/testPrimitives.py
andrewf/fern
16c155ff1d0c8a096b43c2c19d1f478a334682e4
[ "MIT" ]
1
2021-12-13T12:50:35.000Z
2021-12-13T12:50:35.000Z
tests/testPrimitives.py
andrewf/fern
16c155ff1d0c8a096b43c2c19d1f478a334682e4
[ "MIT" ]
1
2018-07-19T03:54:17.000Z
2018-07-19T03:54:17.000Z
tests/testPrimitives.py
andrewf/fern
16c155ff1d0c8a096b43c2c19d1f478a334682e4
[ "MIT" ]
null
null
null
import unittest from fern import primitives class TestNothing(unittest.TestCase): def testExists(self): nothing = primitives.Nothing class TestUndefined(unittest.TestCase): def testExists(self): undef = primitives.Undefined class NotPrimitive(object): 'Just for testing is_primitive' class TestIsPrimitive(unittest.TestCase): def testNothingIsPrimitive(self): self.assertTrue(primitives.is_primitive(primitives.Nothing)) def testUndefinedIsPrimitive(self): self.assertTrue(primitives.is_primitive(primitives.Undefined)) def testBoolIsPrimitive(self): self.assertTrue(primitives.is_primitive(True)) self.assertTrue(primitives.is_primitive(False)) def testIntIsPrimitive(self): self.assertTrue(primitives.is_primitive(14)) def testStringIsPrimitive(self): self.assertTrue(primitives.is_primitive('iz a string')) def testNonPrimitive(self): self.assertFalse(primitives.is_primitive(NotPrimitive()))
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4
09cc9bea90fe43be81a33d749f48e2a791e5b574
68
py
Python
wkskel/__init__.py
florian-drawitsch/wkskel
be75b0794e71e59eb5a6d5506f7d7fb6b43f7783
[ "MIT" ]
1
2021-04-23T20:36:03.000Z
2021-04-23T20:36:03.000Z
wkskel/__init__.py
florian-drawitsch/wkskel
be75b0794e71e59eb5a6d5506f7d7fb6b43f7783
[ "MIT" ]
null
null
null
wkskel/__init__.py
florian-drawitsch/wkskel
be75b0794e71e59eb5a6d5506f7d7fb6b43f7783
[ "MIT" ]
null
null
null
from .types import Nodes, Parameters from .skeleton import Skeleton
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0
0
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4
09d7015ba2fd954638ac1060c324ddbba3dcac09
158
py
Python
tdameritrade/tests/unit/orders/test_constants.py
jiosec/tdameritrade
8c911402854bf3dae428c37e6e84bb189d84835b
[ "Apache-2.0" ]
528
2018-08-19T17:06:29.000Z
2022-03-28T03:39:22.000Z
tdameritrade/tests/unit/orders/test_constants.py
jiosec/tdameritrade
8c911402854bf3dae428c37e6e84bb189d84835b
[ "Apache-2.0" ]
122
2018-10-23T00:06:22.000Z
2022-03-27T15:17:24.000Z
tdameritrade/tests/unit/orders/test_constants.py
jiosec/tdameritrade
8c911402854bf3dae428c37e6e84bb189d84835b
[ "Apache-2.0" ]
232
2018-09-07T19:13:00.000Z
2022-01-28T17:32:17.000Z
from tdameritrade.orders.constants import Session def test_constant_list(): for constant in Session.list(): assert Session(constant) in Session
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158
5.85
0.65
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0
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0
0
4
61d2903b210c07f91d67e9fc2be79b4dc398d49a
201
py
Python
Sort/Tests/SelectionSortTest.py
AdJo-CodeProjects/Algorithms-DataStructures
b31dc8b8fcbf297d1e36c31772b420c9c3387232
[ "Apache-2.0" ]
null
null
null
Sort/Tests/SelectionSortTest.py
AdJo-CodeProjects/Algorithms-DataStructures
b31dc8b8fcbf297d1e36c31772b420c9c3387232
[ "Apache-2.0" ]
null
null
null
Sort/Tests/SelectionSortTest.py
AdJo-CodeProjects/Algorithms-DataStructures
b31dc8b8fcbf297d1e36c31772b420c9c3387232
[ "Apache-2.0" ]
null
null
null
''' Testing the selection sort functionality ''' from Sort.Algorithms.SelectionSort import selection_sort def test_ss(unsorted): return selection_sort(unsorted) print(test_ss([1,0,4,1,2,3,6]))
18.272727
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0.756219
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201
4.933333
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10
57
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1
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4
61e1c83a0291a0fd3517094e39c59fdf9bd80c17
177
py
Python
server/bots.py
Pandicon/Multiplayer-Game
4ed4ffc3e7d94a5300f426c9f018968b7aa54c13
[ "MIT" ]
6
2021-10-21T18:27:11.000Z
2021-11-30T12:45:22.000Z
server/bots.py
Pandicon/Multiplayer-Game
4ed4ffc3e7d94a5300f426c9f018968b7aa54c13
[ "MIT" ]
null
null
null
server/bots.py
Pandicon/Multiplayer-Game
4ed4ffc3e7d94a5300f426c9f018968b7aa54c13
[ "MIT" ]
1
2021-11-09T14:04:47.000Z
2021-11-09T14:04:47.000Z
red = 0 green = 1 blue = 2 yellow = 3 black = 4 all = [red, green, blue, yellow, black] all_str = ["red", "green", "blue", "yellow", "black"] def botstr(b): return all_str[b];
17.7
53
0.610169
30
177
3.533333
0.533333
0.150943
0.226415
0.339623
0.433962
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0
0
0.034965
0.19209
177
9
54
19.666667
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1
0.111111
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0
0
0
1
0
0
0
4
1111a5793e886c12500d4909a98dbe711d556fd1
91
py
Python
src/main.py
Kuba97/house-prices
13b9f3b953c77f05d9d9f5b4164442c9bb212c11
[ "Unlicense" ]
null
null
null
src/main.py
Kuba97/house-prices
13b9f3b953c77f05d9d9f5b4164442c9bb212c11
[ "Unlicense" ]
null
null
null
src/main.py
Kuba97/house-prices
13b9f3b953c77f05d9d9f5b4164442c9bb212c11
[ "Unlicense" ]
null
null
null
from model_selection.selection import validate if __name__ == '__main__': validate()
15.166667
46
0.747253
10
91
5.9
0.8
0
0
0
0
0
0
0
0
0
0
0
0.164835
91
5
47
18.2
0.776316
0
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0.087912
0
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0
0
1
0
true
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0.333333
0
0.333333
0
1
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0
null
0
0
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0
0
0
0
0
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0
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0
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1
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0
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0
0
0
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0
0
null
0
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0
1
0
1
0
0
0
0
4
1134c71c551b9c4e9fad7c1bdbc6fc5731a6b47c
88
py
Python
backend/voting/models/__init__.py
marcoacierno/pycon
2b7b47598c4929769cc73e322b3fce2c89151e21
[ "MIT" ]
56
2018-01-20T17:18:40.000Z
2022-03-28T22:42:04.000Z
backend/voting/models/__init__.py
marcoacierno/pycon
2b7b47598c4929769cc73e322b3fce2c89151e21
[ "MIT" ]
2,029
2018-01-20T11:37:24.000Z
2022-03-31T04:10:51.000Z
backend/voting/models/__init__.py
marcoacierno/pycon
2b7b47598c4929769cc73e322b3fce2c89151e21
[ "MIT" ]
17
2018-03-17T09:44:28.000Z
2021-12-27T19:57:35.000Z
from .ranking import RankRequest, RankSubmission # noqa from .vote import Vote # noqa
29.333333
56
0.772727
11
88
6.181818
0.636364
0
0
0
0
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0
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0
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0
0.170455
88
2
57
44
0.931507
0.102273
0
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1
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true
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1
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1
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0
null
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null
0
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1
0
1
0
0
0
0
4
1143565637e05982b310f0ae651b9dbc9a9cab64
120
py
Python
src/Controller/Clock.py
anthonyf996/ChessApp
614f72bc641793681fd5ad7040d6a4c407c9ae9e
[ "MIT" ]
null
null
null
src/Controller/Clock.py
anthonyf996/ChessApp
614f72bc641793681fd5ad7040d6a4c407c9ae9e
[ "MIT" ]
null
null
null
src/Controller/Clock.py
anthonyf996/ChessApp
614f72bc641793681fd5ad7040d6a4c407c9ae9e
[ "MIT" ]
null
null
null
class Clock: def __init__(self, fpsSpec): self.fpsSpec = fpsSpec def tick(self): raise NotImplementedError
17.142857
30
0.708333
14
120
5.785714
0.642857
0.271605
0
0
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0
0
0
0
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0
0
0.208333
120
6
31
20
0.852632
0
0
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0
0
1
0.4
false
0
0
0
0.6
0
1
0
0
null
1
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0
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0
0
0
0
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1
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null
0
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0
0
1
0
0
0
0
0
0
0
4
1143e8870aea6d554c550eed74b1de8710d12e6b
258
py
Python
awward/forms.py
dgkilolo/Awwards
07c3bba0ec635905c645445fd974adf62f176ba2
[ "RSA-MD" ]
null
null
null
awward/forms.py
dgkilolo/Awwards
07c3bba0ec635905c645445fd974adf62f176ba2
[ "RSA-MD" ]
7
2021-03-30T13:31:28.000Z
2021-09-22T19:10:11.000Z
awward/forms.py
dgkilolo/Awwards
07c3bba0ec635905c645445fd974adf62f176ba2
[ "RSA-MD" ]
null
null
null
from django import forms from .models import Project,Profile class NewProjectForm(forms.ModelForm): class Meta: model = Project exclude = ['profile'] class EditProfileForm(forms.ModelForm): class Meta: model = Profile exclude = ['user']
21.5
39
0.717054
29
258
6.37931
0.517241
0.12973
0.205405
0.248649
0.302703
0
0
0
0
0
0
0
0.189922
258
12
40
21.5
0.885167
0
0
0.2
0
0
0.042471
0
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0
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1
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false
0
0.2
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0.6
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null
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0
0
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0
0
0
1
0
0
4
115b331c9f4aa999d2ba0da6b5ef5a82ec50c925
193
py
Python
src/hks_pylib/errors/cryptography/batchcrypt/batchnumber.py
huykingsofm/hks_pylib
d73a896a395df301ef8082a358ec8e23f7bc708a
[ "MIT" ]
2
2021-04-06T07:01:27.000Z
2021-07-30T11:08:59.000Z
src/hks_pylib/errors/cryptography/batchcrypt/batchnumber.py
huykingsofm/hks_pylib
d73a896a395df301ef8082a358ec8e23f7bc708a
[ "MIT" ]
null
null
null
src/hks_pylib/errors/cryptography/batchcrypt/batchnumber.py
huykingsofm/hks_pylib
d73a896a395df301ef8082a358ec8e23f7bc708a
[ "MIT" ]
null
null
null
from hks_pylib.errors.cryptography.batchcrypt import BatchCryptError class BatchNumberError(BatchCryptError): "The exception is raised when you access an invalid element in batchnumber."
32.166667
80
0.829016
23
193
6.913043
0.956522
0
0
0
0
0
0
0
0
0
0
0
0.124352
193
5
81
38.6
0.940828
0.38342
0
0
0
0
0.38342
0
0
0
0
0
0
1
0
true
0
0.333333
0
0.666667
0
1
0
0
null
0
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0
0
0
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0
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1
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0
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0
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null
0
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0
0
1
0
1
0
0
0
0
4
fee1c78a51a55b078a4f5d560d0967cbc2d39a4f
175
py
Python
src/tokenizer/NumberToken.py
aboveyou00/cc
816a2fb8e53723e8f2c72a8e5d9f443057017594
[ "MIT" ]
null
null
null
src/tokenizer/NumberToken.py
aboveyou00/cc
816a2fb8e53723e8f2c72a8e5d9f443057017594
[ "MIT" ]
null
null
null
src/tokenizer/NumberToken.py
aboveyou00/cc
816a2fb8e53723e8f2c72a8e5d9f443057017594
[ "MIT" ]
null
null
null
from tokenizer.Token import * class NumberToken(Token): def __init__(self, linen, start, orig): super().__init__(linen, start, orig) self.num = int(orig)
25
44
0.657143
22
175
4.863636
0.681818
0.186916
0.261682
0
0
0
0
0
0
0
0
0
0.217143
175
6
45
29.166667
0.781022
0
0
0
0
0
0
0
0
0
0
0
0
1
0.2
false
0
0.2
0
0.6
0
1
0
0
null
0
1
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
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0
0
0
0
0
0
0
0
1
0
0
4
feedc7ca51588dae0f52bd15e4818e351e055961
157
py
Python
.~c9_invoke_uyUd.py
variah-hauge/IA241
482a36fc1398d0ccd2ebc568fd7345f66c812c19
[ "MIT" ]
null
null
null
.~c9_invoke_uyUd.py
variah-hauge/IA241
482a36fc1398d0ccd2ebc568fd7345f66c812c19
[ "MIT" ]
null
null
null
.~c9_invoke_uyUd.py
variah-hauge/IA241
482a36fc1398d0ccd2ebc568fd7345f66c812c19
[ "MIT" ]
null
null
null
""" lec8 functions """ def my_function(a,b): result = a+b print('a is,' a) print('b is,' b) return result print(my_function(1,2))
12.076923
23
0.541401
25
157
3.32
0.52
0.240964
0
0
0
0
0
0
0
0
0
0.026786
0.286624
157
12
24
13.083333
0.714286
0
0
0
0
0
0.074074
0
0
0
0
0
0
0
null
null
0
0
null
null
0.5
1
0
0
null
1
0
0
0
0
0
0
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0
0
0
0
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0
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0
0
0
0
0
0
0
null
0
0
0
0
1
0
0
0
0
0
0
1
0
4
3a2cd9e3413a4e27c47dd36dda4d3dd3f1ea6aaa
111
py
Python
settings.py
tongplw/bot
945b76c57a377e92a85b3359d74c3dc1b32d9a8e
[ "MIT" ]
2
2021-02-07T15:41:46.000Z
2021-02-07T17:49:46.000Z
settings.py
tongplw/bot
945b76c57a377e92a85b3359d74c3dc1b32d9a8e
[ "MIT" ]
null
null
null
settings.py
tongplw/bot
945b76c57a377e92a85b3359d74c3dc1b32d9a8e
[ "MIT" ]
null
null
null
import os from dotenv import load_dotenv load_dotenv(verbose=True) DISCORD_TOKEN = os.getenv("DISCORD_TOKEN")
18.5
42
0.81982
17
111
5.117647
0.588235
0.229885
0
0
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0
0
0
0
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0.099099
111
5
43
22.2
0.87
0
0
0
0
0
0.117117
0
0
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0
0
1
0
false
0
0.5
0
0.5
0
1
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0
null
1
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null
0
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0
0
0
0
1
0
0
0
0
4
3a494e2600068c57c11d02c3b05c401ee0b13bd2
101
py
Python
hashsuanfa.py
Octoberr/openfacelearn
261ccedd9f52533da676eb31e9c4c56ef4204e65
[ "Apache-2.0" ]
null
null
null
hashsuanfa.py
Octoberr/openfacelearn
261ccedd9f52533da676eb31e9c4c56ef4204e65
[ "Apache-2.0" ]
null
null
null
hashsuanfa.py
Octoberr/openfacelearn
261ccedd9f52533da676eb31e9c4c56ef4204e65
[ "Apache-2.0" ]
null
null
null
# coding:utf-8 import hashlib md5 = hashlib.md5() md5.update('my name is swm') print md5.hexdigest()
16.833333
28
0.722772
17
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6
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4
28d468d66345fd5bfbd7f5201d82bebf88d5f8d9
64
py
Python
lib/screen/__init__.py
sshutovskyi/smart-kicker
aafc05a235b446854372b41b8e9ecf2eadf48748
[ "MIT" ]
null
null
null
lib/screen/__init__.py
sshutovskyi/smart-kicker
aafc05a235b446854372b41b8e9ecf2eadf48748
[ "MIT" ]
null
null
null
lib/screen/__init__.py
sshutovskyi/smart-kicker
aafc05a235b446854372b41b8e9ecf2eadf48748
[ "MIT" ]
1
2019-07-25T14:59:32.000Z
2019-07-25T14:59:32.000Z
from .welcome import WelcomeScreen from .game import GameScreen
21.333333
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4
e90ce89876c22b0a318677fc7d3eb1cfbefd3bc9
235
py
Python
src/myinventory/admin.py
daredoes/tools-docker
a030087de0230869e461d7b3768fe787ae5fdc73
[ "MIT" ]
null
null
null
src/myinventory/admin.py
daredoes/tools-docker
a030087de0230869e461d7b3768fe787ae5fdc73
[ "MIT" ]
null
null
null
src/myinventory/admin.py
daredoes/tools-docker
a030087de0230869e461d7b3768fe787ae5fdc73
[ "MIT" ]
null
null
null
from django.contrib import admin from .models import ItemModel class ItemModelAdmin(admin.ModelAdmin): list_display = ('name', 'id', 'image') list_display_links = ('name', 'id') admin.site.register(ItemModel, ItemModelAdmin)
26.111111
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4
e913179bbc67669a045521ac21bee9b81f4571b5
123
py
Python
ethpm/exceptions.py
vappm/py-ethpm
2c215155748cf55e00fe4cf5de5ff2917f1b0d60
[ "MIT" ]
null
null
null
ethpm/exceptions.py
vappm/py-ethpm
2c215155748cf55e00fe4cf5de5ff2917f1b0d60
[ "MIT" ]
null
null
null
ethpm/exceptions.py
vappm/py-ethpm
2c215155748cf55e00fe4cf5de5ff2917f1b0d60
[ "MIT" ]
null
null
null
class ValidationError(Exception): """ Error to signal something does not pass a validation check. """ pass
20.5
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0.666667
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123
5.857143
0.928571
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123
5
64
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4
3a793adbd566d5e7709ffffc818303a3782b8029
143
py
Python
flexi/exceptions.py
netaneld122/flexi
03e564356cb3e4434cd2050624afa1a5f56bd99a
[ "MIT" ]
null
null
null
flexi/exceptions.py
netaneld122/flexi
03e564356cb3e4434cd2050624afa1a5f56bd99a
[ "MIT" ]
null
null
null
flexi/exceptions.py
netaneld122/flexi
03e564356cb3e4434cd2050624afa1a5f56bd99a
[ "MIT" ]
null
null
null
class SubTreeAlreadyExistsException(Exception): def __init__(self, key): super(SubTreeAlreadyExistsException, self).__init__(key)
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4
3ac08ce9ea69aa8fb502511e9389537b8f19b00b
364
py
Python
server/ParcryptProject.py
kanhavishva/parcrypt
1186bd1c3498086cedd7cf3bf599489856556035
[ "MIT" ]
5
2022-02-20T14:31:09.000Z
2022-03-04T20:17:12.000Z
server/ParcryptProject.py
kanhavishva/parcrypt
1186bd1c3498086cedd7cf3bf599489856556035
[ "MIT" ]
5
2022-02-23T03:57:49.000Z
2022-03-28T10:40:41.000Z
server/ParcryptProject.py
brichard19/parcrypt
c24a363aa061b1cffa88c5950408c9c810d88a3d
[ "MIT" ]
5
2022-02-20T14:31:02.000Z
2022-02-21T16:50:22.000Z
class ParcryptProject: # Can be: # 'running' # 'done' # 'paused' def get_state(self): raise Exception('get_state() must be implemented by subclass') def get_type(self): raise Exception('get_type() must be implemented by subclass') def write_info(self): raise Exception('write_info() must be implemented in subclass')
22.75
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4
3ad9021693f849dee8f2506503c56af14ab928cb
700
py
Python
config.py
dlindem/ahotsak-wikibase
406d28c0776b6bae02b08d547e8c4d80a9fb8b4d
[ "MIT" ]
null
null
null
config.py
dlindem/ahotsak-wikibase
406d28c0776b6bae02b08d547e8c4d80a9fb8b4d
[ "MIT" ]
null
null
null
config.py
dlindem/ahotsak-wikibase
406d28c0776b6bae02b08d547e8c4d80a9fb8b4d
[ "MIT" ]
null
null
null
datafolder = "D:/Ahotsak/" awbuser = "DavidL_bot" with open(datafolder+'wikibase/DavidL_bot_pwd.txt', 'r', encoding='utf-8') as pwdfile: awbuserpass = pwdfile.read() # with open(datafolder+'zoteroapi/zotero_api_key.txt', 'r', encoding='utf-8') as pwdfile: # zotero_api_key = pwdfile.read() sparql_prefixes = """ PREFIX awb: <http://datuak.ahotsak.eus/entity/> PREFIX adp: <http://datuak.ahotsak.eus/prop/direct/> PREFIX ap: <http://datuak.ahotsak.eus/prop/> PREFIX aps: <http://datuak.ahotsak.eus/prop/statement/> PREFIX apq: <http://datuak.ahotsak.eus/prop/qualifier/> PREFIX apr: <http://datuak.ahotsak.eus/prop/reference/> """ # Properties with constraint: max. 1 value max1props = [ "P19" ]
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4
3ae5f055a7a8279a786ff2929e55c63ca892ab5d
188
py
Python
LeetCode/657_RobotReturnsToOrigin.py
defUserName-404/Online-Judge
197ac5bf3e2149474b191eeff106b12cd723ec8c
[ "MIT" ]
null
null
null
LeetCode/657_RobotReturnsToOrigin.py
defUserName-404/Online-Judge
197ac5bf3e2149474b191eeff106b12cd723ec8c
[ "MIT" ]
null
null
null
LeetCode/657_RobotReturnsToOrigin.py
defUserName-404/Online-Judge
197ac5bf3e2149474b191eeff106b12cd723ec8c
[ "MIT" ]
null
null
null
class Solution: def judgeCircle(self, moves: str) -> bool: x = (moves.count('L') == moves.count('R')) y = (moves.count('U') == moves.count('D')) return x and y
31.333333
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31.333333
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0
4
aaebd404fe4fea5e2492ee34849bdce027fc3d9f
103
py
Python
styletransfer/models/loss/__init__.py
jaeyeun97/MusicalStyleTransfer
0aa9e8763597bf86ff0c13ae96dee75d165c4fc2
[ "BSD-3-Clause" ]
1
2020-04-14T14:11:14.000Z
2020-04-14T14:11:14.000Z
styletransfer/models/loss/__init__.py
jaeyeun97/MusicalStyleTransfer
0aa9e8763597bf86ff0c13ae96dee75d165c4fc2
[ "BSD-3-Clause" ]
null
null
null
styletransfer/models/loss/__init__.py
jaeyeun97/MusicalStyleTransfer
0aa9e8763597bf86ff0c13ae96dee75d165c4fc2
[ "BSD-3-Clause" ]
null
null
null
from .gan import GANLoss from .classify import ClassificationLoss from .gp import cal_gradient_penalty
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0.714286
0
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4
aaff273006ea31409f14e104fbd7c8c5a3fb0a29
86
py
Python
python/graphidx/py/__init__.py
EQt/graphidx
9716488cf29f6235072fc920fa1a473bf88e954f
[ "MIT" ]
4
2020-04-03T15:18:30.000Z
2022-01-06T15:22:48.000Z
python/graphidx/py/__init__.py
EQt/graphidx
9716488cf29f6235072fc920fa1a473bf88e954f
[ "MIT" ]
null
null
null
python/graphidx/py/__init__.py
EQt/graphidx
9716488cf29f6235072fc920fa1a473bf88e954f
[ "MIT" ]
null
null
null
""" This directory mainly contains Python re-implementions of code using `numba`. """
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4
c902affad1f62acbd19f329c0f069af9d79df978
23,859
py
Python
Refinement_utils.py
Pandinosaurus/PSVH-3d-reconstruction
f0fc3faa914fbd10e23c93d685595e57084f816f
[ "MIT" ]
20
2019-02-25T08:12:15.000Z
2020-04-03T14:28:34.000Z
Refinement_utils.py
Pandinosaurus/PSVH-3d-reconstruction
f0fc3faa914fbd10e23c93d685595e57084f816f
[ "MIT" ]
2
2019-08-27T16:55:04.000Z
2020-06-09T12:21:20.000Z
Refinement_utils.py
Pandinosaurus/PSVH-3d-reconstruction
f0fc3faa914fbd10e23c93d685595e57084f816f
[ "MIT" ]
4
2019-05-16T18:07:29.000Z
2020-04-14T10:43:21.000Z
import numpy as np import tensorflow as tf import os import voxel from binvox_rw import Voxels import time from math import cos from math import sin from math import pi from math import sqrt voxel_size = 32 img_h = 128 img_w = 128 vector_channel = 1024 id_x = None id_y = None def pre_process(): global id_x, id_y dim = voxel_size points = [] dis = 1.2 focus = img_w * sqrt(3) / 2 for i in range(dim): for j in range(dim): for k in range(dim): points.append([1.0*i/dim - 0.5, 1.0*j/dim-0.5, 1.0*k/dim-0.5]) points = np.asarray(points) points[..., 2] += dis for i in range(2): points[..., i] *= focus points[..., i] /= points[..., 2] id_x = np.round(np.clip(points[...,0]+img_w/2,0,img_w-1)).astype(np.int32) id_y = np.round(np.clip((points[...,1]+img_w/2),0,img_w-1)).astype(np.int32) id_y = img_w - 1 - id_y def lrelu(x, leak=0.2): return tf.maximum(x, leak*x) def residual_block(input,layer_id,num_layers=2,div=2,unpool=True): input_shape = input.get_shape() last_channel = input_shape[-1] current_channel = int(int(last_channel)/div) # reg = tf.contrib.layers.l2_regularizer(scale=0.1) # upsampling strides = [1,1,1,1,1] output_shape = [int(input_shape[0]), int(input_shape[1]), int(input_shape[2]), int(input_shape[3]), current_channel] if unpool: strides = [1,2,2,2,1] output_shape = [int(input_shape[0]), int(input_shape[1]) * 2, int(input_shape[2]) * 2, int(input_shape[3]) * 2, current_channel] wd_0 = tf.get_variable("wd%d_0"%layer_id,shape=[3,3,3,current_channel,last_channel],initializer=tf.contrib.layers.xavier_initializer()) bd_0 = tf.get_variable("bd%d_0"%layer_id,shape=[current_channel],initializer=tf.zeros_initializer()) d_0 = tf.nn.conv3d_transpose(value=input, filter=wd_0, output_shape=output_shape, strides=strides, padding='SAME') d_0 = tf.nn.bias_add(d_0, bd_0) d_0 = tf.nn.relu(d_0) last_layer = d_0 for i in range(1,num_layers+1): wd = tf.get_variable("wd%d_%d" % (layer_id,i), shape=[3, 3, 3, current_channel, current_channel], initializer=tf.contrib.layers.xavier_initializer()) bd = tf.get_variable("bd%d_%d" % (layer_id,i), shape=[current_channel],initializer=tf.zeros_initializer()) d = tf.nn.conv3d(last_layer, filter=wd, strides=[1, 1, 1, 1, 1], padding='SAME') d = tf.nn.bias_add(d, bd) d = tf.nn.relu(d) last_layer = d return tf.add(last_layer, d_0) def refine_encoder(input, reuse=False): strides = [1, 2, 2, 2, 1] shortcuts = [] shortcuts.append(tf.stack([input[...,0],1-input[...,0]],axis=4)) with tf.variable_scope("refine_encoder",reuse=reuse): we1 = tf.get_variable("we1",shape=[5,5,5,4,32],initializer=tf.contrib.layers.xavier_initializer()) be1 = tf.get_variable("be1",shape=[32],initializer=tf.zeros_initializer()) e_1 = tf.nn.conv3d(input, we1, strides=[1,1,1,1,1], padding="SAME") e_1 = tf.nn.bias_add(e_1, be1) #d_1 = tf.contrib.layers.batch_norm(d_1, is_training=phase_train) e_1 = lrelu(e_1) shortcuts.append(e_1) # 32 32 32 32 we2 = tf.get_variable("we2", shape=[3, 3, 3, 32, 64], initializer=tf.contrib.layers.xavier_initializer()) be2 = tf.get_variable("be2", shape=[64], initializer=tf.zeros_initializer()) e_2 = tf.nn.conv3d(e_1, we2, strides=strides, padding="SAME") e_2 = tf.nn.bias_add(e_2, be2) #d_2 = tf.contrib.layers.batch_norm(d_2, is_training=phase_train) e_2 = lrelu(e_2) shortcuts.append(e_2) # 16 16 16 64 we3 = tf.get_variable("we3", shape=[3, 3, 3, 64, 128], initializer=tf.contrib.layers.xavier_initializer()) be3 = tf.get_variable("be3", shape=[128], initializer=tf.zeros_initializer()) e_3 = tf.nn.conv3d(e_2, we3, strides=strides, padding="SAME") e_3 = tf.nn.bias_add(e_3, be3) # d_2 = tf.contrib.layers.batch_norm(d_2, is_training=phase_train) e_3 = lrelu(e_3) shortcuts.append(e_3) # 8 8 8 128 we4 = tf.get_variable("we4", shape=[3, 3, 3, 128, 256], initializer=tf.contrib.layers.xavier_initializer()) be4 = tf.get_variable("be4", shape=[256], initializer=tf.zeros_initializer()) e_4 = tf.nn.conv3d(e_3, we4, strides=strides, padding="SAME") e_4 = tf.nn.bias_add(e_4, be4) # d_2 = tf.contrib.layers.batch_norm(d_2, is_training=phase_train) e_4 = lrelu(e_4) shortcuts.append(e_4) # 4 4 4 256 we5 = tf.get_variable("we5", shape=[4, 4, 4, 256, 512], initializer=tf.contrib.layers.xavier_initializer()) be5 = tf.get_variable("be5", shape=[512], initializer=tf.zeros_initializer()) e_5 = tf.nn.conv3d(e_4, we5, strides=[1,1,1,1,1], padding="VALID") e_5 = tf.nn.bias_add(e_5, be5) # d_2 = tf.contrib.layers.batch_norm(d_2, is_training=phase_train) e_5 = lrelu(e_5) # 1 1 1 1024 for _ in shortcuts: print(_) return e_5, shortcuts def refine_encoder_novisualhull(input, reuse=False): strides = [1, 2, 2, 2, 1] shortcuts = [] shortcuts.append(tf.stack([input[...,0],1-input[...,0]],axis=4)) with tf.variable_scope("refine_encoder",reuse=reuse): we1 = tf.get_variable("we1",shape=[5,5,5,2,32],initializer=tf.contrib.layers.xavier_initializer()) be1 = tf.get_variable("be1",shape=[32],initializer=tf.zeros_initializer()) e_1 = tf.nn.conv3d(input, we1, strides=[1,1,1,1,1], padding="SAME") e_1 = tf.nn.bias_add(e_1, be1) #d_1 = tf.contrib.layers.batch_norm(d_1, is_training=phase_train) e_1 = lrelu(e_1) shortcuts.append(e_1) # 32 32 32 32 we2 = tf.get_variable("we2", shape=[3, 3, 3, 32, 64], initializer=tf.contrib.layers.xavier_initializer()) be2 = tf.get_variable("be2", shape=[64], initializer=tf.zeros_initializer()) e_2 = tf.nn.conv3d(e_1, we2, strides=strides, padding="SAME") e_2 = tf.nn.bias_add(e_2, be2) #d_2 = tf.contrib.layers.batch_norm(d_2, is_training=phase_train) e_2 = lrelu(e_2) shortcuts.append(e_2) # 16 16 16 64 we3 = tf.get_variable("we3", shape=[3, 3, 3, 64, 128], initializer=tf.contrib.layers.xavier_initializer()) be3 = tf.get_variable("be3", shape=[128], initializer=tf.zeros_initializer()) e_3 = tf.nn.conv3d(e_2, we3, strides=strides, padding="SAME") e_3 = tf.nn.bias_add(e_3, be3) # d_2 = tf.contrib.layers.batch_norm(d_2, is_training=phase_train) e_3 = lrelu(e_3) shortcuts.append(e_3) # 8 8 8 128 we4 = tf.get_variable("we4", shape=[3, 3, 3, 128, 256], initializer=tf.contrib.layers.xavier_initializer()) be4 = tf.get_variable("be4", shape=[256], initializer=tf.zeros_initializer()) e_4 = tf.nn.conv3d(e_3, we4, strides=strides, padding="SAME") e_4 = tf.nn.bias_add(e_4, be4) # d_2 = tf.contrib.layers.batch_norm(d_2, is_training=phase_train) e_4 = lrelu(e_4) shortcuts.append(e_4) # 4 4 4 256 we5 = tf.get_variable("we5", shape=[4, 4, 4, 256, 512], initializer=tf.contrib.layers.xavier_initializer()) be5 = tf.get_variable("be5", shape=[512], initializer=tf.zeros_initializer()) e_5 = tf.nn.conv3d(e_4, we5, strides=[1,1,1,1,1], padding="VALID") e_5 = tf.nn.bias_add(e_5, be5) # d_2 = tf.contrib.layers.batch_norm(d_2, is_training=phase_train) e_5 = lrelu(e_5) # 1 1 1 1024 for _ in shortcuts: print(_) return e_5, shortcuts def refine_decoder(input, shortcuts, reuse = False): strides = [1, 2, 2, 2, 1] layer_id = 2 print(input) batch_size = int(input.get_shape()[0]) with tf.variable_scope("refine_decoder", reuse=reuse): input = tf.reshape(input, (batch_size, 1, 1, 1, 512)) wd = tf.get_variable("wd1", shape=[4, 4, 4, 256, 512], initializer=tf.contrib.layers.xavier_initializer()) bd = tf.get_variable("bd1", shape=[256], initializer=tf.zeros_initializer()) d_1 = tf.nn.conv3d_transpose(input, wd, (batch_size, 4, 4, 4, 256), strides=[1, 1, 1, 1, 1], padding='VALID') d_1 = tf.nn.bias_add(d_1, bd) d_1 = tf.nn.relu(d_1) d_1 = tf.add(d_1,shortcuts[4]) d_2 = residual_block(d_1, layer_id) # 8 8 8 128 layer_id += 1 d_2 = tf.add(d_2,shortcuts[3]) d_3 = residual_block(d_2, layer_id) # 16 16 16 64 layer_id += 1 d_3 = tf.add(d_3,shortcuts[2]) d_4 = residual_block(d_3, layer_id) # 32 32 32 32 layer_id += 1 d_4 = tf.add(d_4,shortcuts[1]) d_5 = residual_block(d_4, layer_id, 3, unpool=False) layer_id += 1 last_channel = int(d_5.shape[-1]) print('d1', d_1) print('d2', d_2) print('d3', d_3) print('d4', d_4) print('d5', d_5) wd = tf.get_variable("wd6", shape=[3, 3, 3, 2, last_channel], initializer=tf.contrib.layers.xavier_initializer()) res = tf.nn.conv3d_transpose(d_5, wd, (batch_size, 32, 32, 32, 2), strides=[1, 1, 1, 1, 1], padding='SAME') d_6 = res res = tf.add(res, shortcuts[0]) res_softmax = tf.nn.softmax(res) print('d6', res) return res, res_softmax#,d_5,d_6 def scale_trans(st): points = [] #dis = 1.5 focus = 138 * sqrt(3) / 2 dim = voxel_size for i in range(dim): for j in range(dim): for k in range(dim): points.append([1.0*i/dim - 0.5, 1.0*j/dim-0.5, 1.0*k/dim-0.5]) points = np.asarray(points) #points[..., 2] += dis # points[..., 0] += dis #for i in range(2): # points[..., i] *= focus # points[..., i] /= points[..., 2] batch = int(st.shape[0]) # points = Con(points) # mask_indexs = [] # for i in range(batch): # scale, transx, transy = st[i,0], st[i,1], st[i,2] # tx = tf.round(tf.clip_by_value((points[...,2])*scale-transx+img_w/2,0,img_w-1)) # ty = img_w - 1 - tf.round(tf.clip_by_value((points[...,1])*scale+transy+img_w/2,0,img_w-1)) # t_id = ty * img_w + tx + i * img_w * img_h # mask_indexs.append(t_id) # # ret = tf.stack(mask_indexs) # total = 1 # # for _ in ret.shape: # total *= int(_) # # ret = tf.cast(tf.reshape(ret,[total]),dtype=tf.int32) points = Con(points) mask_indexs = [] for i in range(batch): dis, transx, transy = st[i,0], st[i,1], st[i,2] pointsz = points[..., 2] + dis pointsx = (points[..., 0] * focus) / pointsz pointsy = (points[..., 1] * focus) / pointsz tx = tf.round(tf.clip_by_value((pointsx)-transx+img_w/2,0,img_w-1)) ty = tf.round(tf.clip_by_value((pointsy)-transy+img_w/2,0,img_w-1)) t_id = ty * img_w + tx + i * img_w * img_h mask_indexs.append(t_id) ret = tf.stack(mask_indexs) total = 1 for _ in ret.shape: total *= int(_) ret = tf.cast(tf.reshape(ret,[total]),dtype=tf.int32) return ret def scale_trans_r2n2(st): points = [] #dis = 1.5 # focus = 138 * sqrt(3) / 2 scale = 1 focus = 157.2275*scale dim = voxel_size for i in range(dim): for j in range(dim): for k in range(dim): points.append([1.0*i/dim - 0.5, 1.0*j/dim-0.5, 1.0*k/dim-0.5]) points = np.asarray(points) #points[..., 2] += dis # points[..., 0] += dis #for i in range(2): # points[..., i] *= focus # points[..., i] /= points[..., 2] batch = int(st.shape[0]) # points = Con(points) # mask_indexs = [] # for i in range(batch): # scale, transx, transy = st[i,0], st[i,1], st[i,2] # tx = tf.round(tf.clip_by_value((points[...,2])*scale-transx+img_w/2,0,img_w-1)) # ty = img_w - 1 - tf.round(tf.clip_by_value((points[...,1])*scale+transy+img_w/2,0,img_w-1)) # t_id = ty * img_w + tx + i * img_w * img_h # mask_indexs.append(t_id) # # ret = tf.stack(mask_indexs) # total = 1 # # for _ in ret.shape: # total *= int(_) # # ret = tf.cast(tf.reshape(ret,[total]),dtype=tf.int32) points = Con(points) mask_indexs = [] for i in range(batch): dis, transx, transy = st[i,0], st[i,1], st[i,2] pointsz = points[..., 2] + dis*scale pointsx = (points[..., 0] * focus) / pointsz pointsy = (points[..., 1] * focus) / pointsz tx = tf.round(tf.clip_by_value((pointsx)-transx+img_w/2,0,img_w-1)) ty = tf.round(tf.clip_by_value((pointsy)-transy+img_w/2,0,img_w-1)) t_id = ty * img_w + tx + i * img_w * img_h mask_indexs.append(t_id) ret = tf.stack(mask_indexs) total = 1 for _ in ret.shape: total *= int(_) ret = tf.cast(tf.reshape(ret,[total]),dtype=tf.int32) return ret def scale_trans_voc(st): points = [] #dis = 1.5 scale = 0.5 focus = 138 * sqrt(3) * 10 * scale dim = voxel_size for i in range(dim): for j in range(dim): for k in range(dim): points.append([1.0*i/dim - 0.5, 1.0*j/dim-0.5, 1.0*k/dim-0.5]) points = np.asarray(points) #points[..., 2] += dis # points[..., 0] += dis #for i in range(2): # points[..., i] *= focus # points[..., i] /= points[..., 2] batch = int(st.shape[0]) points = Con(points) mask_indexs = [] for i in range(batch): dis, transx, transy = st[i,0], st[i,1], st[i,2] pointsz = points[..., 2] + dis*scale pointsx = (points[..., 0] * focus) / pointsz pointsy = (points[..., 1] * focus) / pointsz tx = tf.round(tf.clip_by_value((pointsx)-transx+img_w/2,0,img_w-1)) ty = tf.round(tf.clip_by_value((pointsy)-transy+img_w/2,0,img_w-1)) t_id = ty * img_w + tx + i * img_w * img_h mask_indexs.append(t_id) ret = tf.stack(mask_indexs) total = 1 for _ in ret.shape: total *= int(_) ret = tf.cast(tf.reshape(ret,[total]),dtype=tf.int32) return ret def rotate_mask_voc(mask, angles): batch = int(angles.shape[0]) points = [] half = img_h/2. for i in range(img_h): for j in range(img_w): points.append([1.0*i-half,1.0*j-half]) points = Con(np.asarray(points).transpose()) masks = [] for i in range(batch): theta = 2*pi*angles[i, 2] # theta = Con(pi) R = tf.reshape(tf.stack([tf.cos(theta), -tf.sin(theta), tf.sin(theta), tf.cos(theta)]), [2, 2]) rotation = tf.cast(tf.clip_by_value(tf.round(tf.matmul(R, points) + half), 0, img_h - 1), dtype=tf.int32) # x.append(tf.reshape(rotation[0, ...], shape=[dim, dim, dim])) # y.append(tf.reshape(rotation[1, ...], shape=[dim, dim, dim])) # z.append(tf.reshape(rotation[2, ...], shape=[dim, dim, dim])) x = rotation[0, ...] y = rotation[1, ...] index = x*img_h + y data = tf.reshape(mask[i,...],[img_h*img_w]) new_mask = tf.gather(data, index) masks.append(tf.reshape(new_mask,[img_w,img_h])) masks = tf.stack(masks) return masks def cast(masks, mask_indexs, rotation_matrices): dim = voxel_size batch_size = int(masks.shape[0]) mask_shape = masks.shape x,y,z = rotation(rotation_matrices) total = 1 for _ in mask_shape: total *= int(_) masks = tf.reshape(masks, shape=[total]) data = tf.gather(masks, mask_indexs) project_indexs = x*dim*dim+y*dim+z project_indexs = tf.reshape(project_indexs, [int(project_indexs.shape[0])*int(project_indexs.shape[1])]) datas = tf.gather(data, project_indexs) datas = tf.reshape(datas, [batch_size,dim,dim,dim]) return datas def Con(val): return tf.constant(val, dtype=np.float32) def flip(): from binvox_rw import read_as_3d_array from binvox_rw import Voxels with open('model.binvox','rb') as fp: vox = read_as_3d_array(fp) data = vox.data data = np.transpose(data,[2,1,0]) new_vox = Voxels(data,vox.dims,vox.translate) with open('model_transpose.binvox','wb') as fp: new_vox.write(fp) def get_rotation_matrix(angles): angles = 2*pi*angles batch = int(angles.shape[0]) matrices = [] # for i in range(batch): # #pitch, yaw, roll = angles[i, 1]+0.5*pi, angles[i, 2], -angles[i, 0] # pitch, roll, yaw = -angles[i, 1]+pi, angles[i, 2], angles[i, 0] # Rx = tf.reshape(tf.stack([Con(1),Con(0),Con(0), Con(0), tf.cos(roll), -tf.sin(roll), Con(0), tf.sin(roll), tf.cos(roll)]),[3,3]) # Ry = tf.reshape(tf.stack([tf.cos(pitch), Con(0), tf.sin(pitch), Con(0), Con(1), Con(0), -tf.sin(pitch), Con(0), tf.cos(pitch)]),[3,3]) # Rz = tf.reshape(tf.stack([tf.cos(yaw), -tf.sin(yaw), Con(0), tf.sin(yaw), tf.cos(yaw), Con(0), Con(0), Con(0), Con(1)]), [3,3]) # R = tf.matmul(Rz,tf.matmul(Ry,Rx)) # matrices.append(R) for i in range(batch): #pitch, yaw, roll = angles[i, 1]+0.5*pi, angles[i, 2], -angles[i, 0] pitch, yaw, roll = angles[i, 1], angles[i, 2], angles[i, 0] Rx = tf.reshape(tf.stack([Con(1),Con(0),Con(0), Con(0), tf.cos(roll), -tf.sin(roll), Con(0), tf.sin(roll), tf.cos(roll)]),[3,3]) Ry = tf.reshape(tf.stack([tf.cos(pitch), Con(0), tf.sin(pitch), Con(0), Con(1), Con(0), -tf.sin(pitch), Con(0), tf.cos(pitch)]),[3,3]) Rz = tf.reshape(tf.stack([tf.cos(yaw), -tf.sin(yaw), Con(0), tf.sin(yaw), tf.cos(yaw), Con(0), Con(0), Con(0), Con(1)]), [3,3]) R = tf.matmul(Rx, tf.matmul(Ry,Rz)) matrices.append(R) matrices = tf.stack(matrices) return matrices def get_rotation_matrix_r2n2(angles): angles = 2*pi*angles batch = int(angles.shape[0]) matrices = [] # for i in range(batch): # #pitch, yaw, roll = angles[i, 1]+0.5*pi, angles[i, 2], -angles[i, 0] # pitch, roll, yaw = -angles[i, 1]+pi, angles[i, 2], angles[i, 0] # Rx = tf.reshape(tf.stack([Con(1),Con(0),Con(0), Con(0), tf.cos(roll), -tf.sin(roll), Con(0), tf.sin(roll), tf.cos(roll)]),[3,3]) # Ry = tf.reshape(tf.stack([tf.cos(pitch), Con(0), tf.sin(pitch), Con(0), Con(1), Con(0), -tf.sin(pitch), Con(0), tf.cos(pitch)]),[3,3]) # Rz = tf.reshape(tf.stack([tf.cos(yaw), -tf.sin(yaw), Con(0), tf.sin(yaw), tf.cos(yaw), Con(0), Con(0), Con(0), Con(1)]), [3,3]) # R = tf.matmul(Rz,tf.matmul(Ry,Rx)) # matrices.append(R) for i in range(batch): #pitch, yaw, roll = angles[i, 1]+0.5*pi, angles[i, 2], -angles[i, 0] pitch, yaw, roll = -angles[i, 1], angles[i, 2], angles[i, 0] Rx = tf.reshape(tf.stack([Con(1),Con(0),Con(0), Con(0), tf.cos(roll), -tf.sin(roll), Con(0), tf.sin(roll), tf.cos(roll)]),[3,3]) Ry = tf.reshape(tf.stack([tf.cos(pitch), Con(0), tf.sin(pitch), Con(0), Con(1), Con(0), -tf.sin(pitch), Con(0), tf.cos(pitch)]),[3,3]) Rz = tf.reshape(tf.stack([tf.cos(yaw), -tf.sin(yaw), Con(0), tf.sin(yaw), tf.cos(yaw), Con(0), Con(0), Con(0), Con(1)]), [3,3]) R = tf.matmul(Rx, tf.matmul(Ry,Rz)) matrices.append(R) matrices = tf.stack(matrices) return matrices def get_rotation_matrix_voc(angles): angles = 2*pi*angles batch = int(angles.shape[0]) matrices = [] # for i in range(batch): # #pitch, yaw, roll = angles[i, 1]+0.5*pi, angles[i, 2], -angles[i, 0] # pitch, roll, yaw = -angles[i, 1]+pi, angles[i, 2], angles[i, 0] # Rx = tf.reshape(tf.stack([Con(1),Con(0),Con(0), Con(0), tf.cos(roll), -tf.sin(roll), Con(0), tf.sin(roll), tf.cos(roll)]),[3,3]) # Ry = tf.reshape(tf.stack([tf.cos(pitch), Con(0), tf.sin(pitch), Con(0), Con(1), Con(0), -tf.sin(pitch), Con(0), tf.cos(pitch)]),[3,3]) # Rz = tf.reshape(tf.stack([tf.cos(yaw), -tf.sin(yaw), Con(0), tf.sin(yaw), tf.cos(yaw), Con(0), Con(0), Con(0), Con(1)]), [3,3]) # R = tf.matmul(Rz,tf.matmul(Ry,Rx)) # matrices.append(R) for i in range(batch): #pitch, yaw, roll = angles[i, 1]+0.5*pi, angles[i, 2], -angles[i, 0] pitch, yaw, roll = angles[i, 1], Con(0), angles[i, 0] Rx = tf.reshape(tf.stack([Con(1),Con(0),Con(0), Con(0), tf.cos(roll), -tf.sin(roll), Con(0), tf.sin(roll), tf.cos(roll)]),[3,3]) Ry = tf.reshape(tf.stack([tf.cos(pitch), Con(0), tf.sin(pitch), Con(0), Con(1), Con(0), -tf.sin(pitch), Con(0), tf.cos(pitch)]),[3,3]) Rz = tf.reshape(tf.stack([tf.cos(yaw), -tf.sin(yaw), Con(0), tf.sin(yaw), tf.cos(yaw), Con(0), Con(0), Con(0), Con(1)]), [3,3]) R = tf.matmul(Rx, tf.matmul(Ry,Rz)) matrices.append(R) matrices = tf.stack(matrices) return matrices def rotate_and_translate(R, st): dim = voxel_size batch = int(R.shape[0]) cords = [] for i in range(dim): for j in range(dim): for k in range(dim): cords.append([1.0 * i / dim - 0.5, 1.0 * j / dim - 0.5, 1.0 * k / dim - 0.5]) cords = np.asarray(cords).transpose() points = Con(cords) cords = [] for i in range(batch): dis, transx, transy = st[i, 0], st[i, 1], st[i, 2] rotation = tf.matmul(R[i], points) x = rotation[0, ...] - transx/dis y = rotation[1, ...] - transy/dis z = rotation[2, ...] + dis rotation = tf.transpose(tf.stack([x,y,z],axis=0)) cords.append(rotation) cords = tf.stack(cords,axis=0) # [batchsize, 32*32*32, 3] cords = tf.reshape(cords,[batch,dim,dim,dim,3]) return cords def DVX(visual_hull): visual_hull = tf.expand_dims(visual_hull,axis=-1) kernal = np.array([-1,1]) kx = Con(kernal.reshape([2,1,1,1,1])) ky = Con(kernal.reshape([1,2,1,1,1])) kz = Con(kernal.reshape([1,1,2,1,1])) dx = tf.squeeze(tf.nn.conv3d(visual_hull,kx,[1,1,1,1,1],padding='SAME')) dy = tf.squeeze(tf.nn.conv3d(visual_hull,ky,[1,1,1,1,1],padding='SAME')) dz = tf.squeeze(tf.nn.conv3d(visual_hull,kz,[1,1,1,1,1],padding='SAME')) res = tf.stack([dx,dy,dz],axis=-1) return res def rotation(R): dim = voxel_size batch = int(R.shape[0]) cords = [] for i in range(dim): for j in range(dim): for k in range(dim): cords.append([1.0 * i / dim - 0.5, 1.0 * j / dim - 0.5, 1.0 * k / dim - 0.5]) cords = np.asarray(cords).transpose() points = Con(cords) x = [] y = [] z = [] for i in range(batch): rotation = tf.cast(tf.clip_by_value(tf.round((tf.matmul(R[i], points) + 0.5) * dim), 0, dim-1), dtype=tf.int32) # x.append(tf.reshape(rotation[0, ...], shape=[dim, dim, dim])) # y.append(tf.reshape(rotation[1, ...], shape=[dim, dim, dim])) # z.append(tf.reshape(rotation[2, ...], shape=[dim, dim, dim])) x.append(rotation[0, ...]) y.append(rotation[1, ...]) z.append(rotation[2, ...] + i*dim*dim*dim) x = tf.stack(x, axis=0) y = tf.stack(y, axis=0) z = tf.stack(z, axis=0) return x, y, z
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c916039c778de52533ffcef4f07f40c8994886ac
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py
Python
crpytography/tests/test_extended_euclidean.py
CheYulin/PythonStudy
2b68a9cb2f7044d7e5ce9e7c971070eba7a36c07
[ "MIT" ]
3
2018-03-10T15:14:06.000Z
2020-06-17T03:13:21.000Z
crpytography/tests/test_extended_euclidean.py
YcheLanguageStudio/PythonStudy
2b68a9cb2f7044d7e5ce9e7c971070eba7a36c07
[ "MIT" ]
null
null
null
crpytography/tests/test_extended_euclidean.py
YcheLanguageStudio/PythonStudy
2b68a9cb2f7044d7e5ce9e7c971070eba7a36c07
[ "MIT" ]
null
null
null
from crpyto_tool.libs.extended_euclidean import ExtendedGcdEuclidean def gcd_euclidean(lhs, rhs): if rhs == 0: return lhs else: return gcd_euclidean(rhs, lhs % rhs) def test_extended_gcd_euclidean(modulo_num, another_num): extend_euclidean_algo = ExtendedGcdEuclidean(modulo_num=modulo_num, another_num=another_num) for i in range(0, len(extend_euclidean_algo.iter_list) - 1): print 'iter:' + str(extend_euclidean_algo.iter_list[i]) + '\t\tr:' + \ str(extend_euclidean_algo.r_list[i]) + '\t\tq:' + \ str(extend_euclidean_algo.q_list[i]) + '\t\tx:' + \ str(extend_euclidean_algo.x_list[i]) + '\t\ty:' + \ str(extend_euclidean_algo.y_list[i]) i = len(extend_euclidean_algo.iter_list) - 1 print 'iter:' + str(extend_euclidean_algo.iter_list[i]) + '\t\tr:' + \ str(extend_euclidean_algo.r_list[i]) + '\t\tq:' + \ str(extend_euclidean_algo.q_list[i]) print if __name__ == '__main__': print 'Demo gcd of 24 and 36 is:' + str(gcd_euclidean(24, 36)) + '\n' test_extended_gcd_euclidean(1759, 550) test_extended_gcd_euclidean(1137, 29) test_extended_gcd_euclidean(37, 49) test_extended_gcd_euclidean(49, 37) extend_euclidean_algo = ExtendedGcdEuclidean(modulo_num=37, another_num=49) print 'multiplicative inverse of 49 modulo 37 is:', extend_euclidean_algo.get_result()
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c94b6a4cb33ab5fa466bf7029de77a8906994174
614
py
Python
backend/api/pages/schema.py
marcoacierno/pycon
2b7b47598c4929769cc73e322b3fce2c89151e21
[ "MIT" ]
56
2018-01-20T17:18:40.000Z
2022-03-28T22:42:04.000Z
backend/api/pages/schema.py
marcoacierno/pycon
2b7b47598c4929769cc73e322b3fce2c89151e21
[ "MIT" ]
2,029
2018-01-20T11:37:24.000Z
2022-03-31T04:10:51.000Z
backend/api/pages/schema.py
marcoacierno/pycon
2b7b47598c4929769cc73e322b3fce2c89151e21
[ "MIT" ]
17
2018-03-17T09:44:28.000Z
2021-12-27T19:57:35.000Z
from typing import List, Optional import strawberry from pages.models import Page from .types import Page as PageType @strawberry.type class PagesQuery: # TODO: use custom scalar for code and update custom gatsby source to use # that instead of a generic argument called code @strawberry.field def pages(self, info, code: str) -> List[PageType]: return Page.published_pages.filter(conference__code=code) @strawberry.field def page(self, info, code: str, slug: str) -> Optional[PageType]: return Page.published_pages.by_slug(slug).filter(conference__code=code).first()
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a31115356b96018e60afca528ddf4221cecc523c
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py
Python
mmgen/models/architectures/cyclegan/__init__.py
plutoyuxie/mmgeneration
0a7f5d16c970de1766ebf049d7a0264fe506504b
[ "Apache-2.0" ]
718
2021-04-15T11:26:20.000Z
2022-03-31T03:11:56.000Z
mmgen/models/architectures/cyclegan/__init__.py
plutoyuxie/mmgeneration
0a7f5d16c970de1766ebf049d7a0264fe506504b
[ "Apache-2.0" ]
191
2021-04-15T12:13:34.000Z
2022-03-31T16:04:36.000Z
mmgen/models/architectures/cyclegan/__init__.py
plutoyuxie/mmgeneration
0a7f5d16c970de1766ebf049d7a0264fe506504b
[ "Apache-2.0" ]
107
2021-04-15T12:38:41.000Z
2022-03-27T02:47:16.000Z
# Copyright (c) OpenMMLab. All rights reserved. from .generator_discriminator import ResnetGenerator from .modules import ResidualBlockWithDropout __all__ = ['ResnetGenerator', 'ResidualBlockWithDropout']
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a31b0d5c0b00cc40081407526c98cfc9584e6351
10,249
py
Python
durak.py
EliseevaIN/python_lesson_10
e2422a6486b165a5ccaffc4fe0369493201c0bb8
[ "MIT" ]
null
null
null
durak.py
EliseevaIN/python_lesson_10
e2422a6486b165a5ccaffc4fe0369493201c0bb8
[ "MIT" ]
null
null
null
durak.py
EliseevaIN/python_lesson_10
e2422a6486b165a5ccaffc4fe0369493201c0bb8
[ "MIT" ]
null
null
null
import random class Durak: def __init__(self, N): self.order_num = N self.order_cards_player_1_kozyr = [] self.order_cards_player_2_kozyr = [] def all_cards(self): self.deck = [(6, '♥'), (7, '♥'), (8, '♥'), (9, '♥'), (10, '♥'), (11, '♥'), (12, '♥'), (13, '♥'), (14, '♥'), (6, '♦'), (7, '♦'), (8, '♦'), (9, '♦'), (10, '♦'), (11, '♦'), (12, '♦'), (13, '♦'), (14, '♦'), (6, '♣'), (7, '♣'), (8, '♣'), (9, '♣'), (10, '♣'), (11, '♣'), (12, '♣'), (13, '♣'), (14, '♣'), (6, '♠'), (7, '♠'), (8, '♠'), (9, '♠'), (10, '♠'), (11, '♠'), (12, '♠'), (13, '♠'), (14, '♠')] hand_player_1 = [] hand_player_2 = [] for i in range(6): player_1_card = random.choice(self.deck) hand_player_1.append(player_1_card) self.deck.remove(player_1_card) player_2_card = random.choice(self.deck) hand_player_2.append(player_2_card) self.deck.remove(player_2_card) self.player_1_cards = hand_player_1 self.player_2_cards = hand_player_2 self.player_1_cards.sort() self.player_2_cards.sort() kozyr_card = random.choice(self.deck) self.kozyr = kozyr_card[1] random.shuffle(self.deck) self.list_bito = [] print('карты 1-го игрока:', len(self.player_1_cards), self.player_1_cards) print('карты 2-го игрока:', len(self.player_2_cards), self.player_2_cards) print('карт в колоде:', len(self.deck)) print('козырь:', self.kozyr) def bito(self, x, y): self.list_bito.append(x) self.list_bito.append(y) self.list_bito.sort() def dobor(self): if len(self.deck) > 0 and len(self.player_1_cards) < 6: self.next_card = self.deck[0] self.deck.remove(self.next_card) self.player_1_cards.append(self.next_card) print('первый игрок взял карту из колоды {}, в колоде {} карт'.format(self.next_card, len(self.deck))) if len(self.deck) > 0 and len(self.player_2_cards) < 6: self.next_card = self.deck[0] self.deck.remove(self.next_card) self.player_2_cards.append(self.next_card) print('второй игрок взял карту из колоды {}, в колоде {} карт'.format(self.next_card, len(self.deck))) self.player_1_cards.sort() self.player_2_cards.sort() self.order_cards_player_1_not_kozyr = [x for x in self.player_1_cards if x[1]!=self.kozyr] self.order_cards_player_1_not_kozyr.sort() self.order_cards_player_1_kozyr = [x for x in self.player_1_cards if x[1]==self.kozyr] self.order_cards_player_1_kozyr.sort() self.order_cards_player_2_not_kozyr = [x for x in self.player_2_cards if x[1]!=self.kozyr] self.order_cards_player_2_not_kozyr.sort() self.order_cards_player_2_kozyr = [x for x in self.player_2_cards if x[1]==self.kozyr] self.order_cards_player_2_kozyr.sort() def order_cards(self): w = 0 for i in range(1, self.order_num): if w==0: self.dobor() if len(self.order_cards_player_1_not_kozyr) > 0: order_cards_player_1 = self.order_cards_player_1_not_kozyr[0] else: order_cards_player_1 = self.order_cards_player_1_kozyr[0] order_cards_player_1_suit = order_cards_player_1[1] order_cards_player_1_digit = order_cards_player_1[0] print('ход первого игрока:', order_cards_player_1) hand_player_2_suit = [x for x in self.player_2_cards if x[1]==order_cards_player_1_suit] hand_player_2_suit_higher = [x for x in hand_player_2_suit if x[0] > order_cards_player_1_digit] if len(hand_player_2_suit_higher) + len(self.order_cards_player_2_kozyr)==0: self.player_2_cards.append(order_cards_player_1) print('второй игрок взял') self.player_1_cards.remove(order_cards_player_1) self.dobor() w = 0 elif order_cards_player_1_suit==self.kozyr and order_cards_player_1[0] > \ self.order_cards_player_2_kozyr[-1][0]: self.player_2_cards.append(order_cards_player_1) print('второй игрок взял') self.player_1_cards.remove(order_cards_player_1) self.dobor() w = 0 elif order_cards_player_1_suit==self.kozyr and order_cards_player_1[0] < \ self.order_cards_player_2_kozyr[-1][0]: self.m = 3 if self.m <= (len(self.order_cards_player_2_kozyr) - 1): order_cards_player_2 = self.order_cards_player_2_kozyr[self.m] print('ход второго игрока:', order_cards_player_2) self.bito(order_cards_player_1, order_cards_player_2) print('бито') self.dobor() w = 1 elif len(hand_player_2_suit_higher)==0 and len(self.order_cards_player_2_kozyr) > 0: print('ход второго игрока:', self.order_cards_player_2_kozyr[0]) order_cards_player_2 = self.order_cards_player_2_kozyr[0] self.player_1_cards.remove(order_cards_player_1) self.player_2_cards.remove(order_cards_player_2) self.bito(order_cards_player_1, order_cards_player_2) print('бито') self.dobor() w = 1 else: print('ход второго игрока:', hand_player_2_suit_higher[0]) order_cards_player_2 = hand_player_2_suit_higher[0] self.player_1_cards.remove(order_cards_player_1) self.player_2_cards.remove(order_cards_player_2) self.bito(order_cards_player_1, order_cards_player_2) print('бито') self.dobor() w = 1 print('карты 1-го игрока после {} хода:'.format(i), len(self.player_1_cards), self.player_1_cards) print('карты 2-го игрока после {} хода:'.format(i), len(self.player_2_cards), self.player_2_cards) if w==1: self.dobor() if len(self.order_cards_player_2_not_kozyr) > 0: order_cards_player_2 = self.order_cards_player_2_not_kozyr[0] else: order_cards_player_2 = self.order_cards_player_2_kozyr[0] order_cards_player_2_suit = order_cards_player_2[1] order_cards_player_2_digit = order_cards_player_2[0] print('ход второго игрока:', order_cards_player_2) hand_player_1_suit = [x for x in self.player_1_cards if x[1]==order_cards_player_2_suit] hand_player_1_suit_higher = [x for x in hand_player_1_suit if x[0] > order_cards_player_2_digit] if len(hand_player_1_suit_higher) + len(self.order_cards_player_1_kozyr)==0: self.player_1_cards.append(order_cards_player_2) self.player_2_cards.remove(order_cards_player_2) print('первый игрок взял') self.dobor() w = 1 elif order_cards_player_2_suit==self.kozyr and order_cards_player_2[0] > \ self.order_cards_player_1_kozyr[-1][0]: self.player_1_cards.append(order_cards_player_2) self.player_2_cards.remove(order_cards_player_2) print('первый игрок взял') self.dobor() w = 1 elif order_cards_player_2_suit==self.kozyr and order_cards_player_2[0] < \ self.order_cards_player_1_kozyr[-1][0]: print('ход первого игрока:', self.order_cards_player_1_kozyr[-1]) order_cards_player_1 = self.order_cards_player_1_kozyr[-1] self.player_1_cards.remove(order_cards_player_1) self.player_2_cards.remove(order_cards_player_2) self.bito(order_cards_player_1, order_cards_player_2) print('бито') self.dobor() w = 0 elif len(hand_player_1_suit_higher)==0 and len(self.order_cards_player_1_kozyr) > 0: print('ход первого игрока:', self.order_cards_player_1_kozyr[0]) order_cards_player_1 = self.order_cards_player_1_kozyr[0] self.player_1_cards.remove(order_cards_player_1) self.player_2_cards.remove(order_cards_player_2) self.bito(order_cards_player_1, order_cards_player_2) print('бито') self.dobor() w = 0 else: print('ход первого игрока:', hand_player_1_suit_higher[0]) order_cards_player_1 = hand_player_1_suit_higher[0] self.player_1_cards.remove(order_cards_player_1) self.player_2_cards.remove(order_cards_player_2) self.bito(order_cards_player_1, order_cards_player_2) print('бито') self.dobor() w = 0 print('карты 1-го игрока после {} хода:'.format(i), len(self.player_1_cards), self.player_1_cards) print('карты 2-го игрока после {} хода:'.format(i), len(self.player_2_cards), self.player_2_cards) if len(self.player_1_cards)==0 and len(self.player_2_cards)==0: print('ничья') break elif len(self.player_1_cards)==0: print('1-й игрок победил') break elif len(self.player_2_cards)==0: print('2-й игрок победил') break if __name__=='__main__': cards_game = Durak(25) cards_game.all_cards() cards_game.order_cards()
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a31f177be72c9aecb8703762a4e268e2caa6a2b9
142
py
Python
nodenet/python/nodenet/variables/commons.py
NOOXY-research/NodeNet
8bf7e0c2fd0e4fae4a51b2900014004728f3c935
[ "Apache-2.0" ]
2
2018-01-31T05:52:23.000Z
2020-08-07T19:14:18.000Z
nodenet/python/nodenet/variables/commons.py
NOOXY-research/NodeNet
8bf7e0c2fd0e4fae4a51b2900014004728f3c935
[ "Apache-2.0" ]
1
2017-11-22T09:39:50.000Z
2017-11-22T09:39:50.000Z
nodenet/python/nodenet/variables/commons.py
magneticchen/NodeNet
8bf7e0c2fd0e4fae4a51b2900014004728f3c935
[ "Apache-2.0" ]
null
null
null
# nodenet/learningalgorithm/commons.py # Description: # "commons.py" provide commons parameters. # Copyright 2018 NOOXY. All Rights Reserved.
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a367b6e024cd989143ca6125c6e71d6900e674fd
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py
Python
feathr_project/feathr/constants.py
tarockey/feathr
50e8a6d2b3f6230f49d46a78e9b4ab49d32a8282
[ "Apache-2.0" ]
null
null
null
feathr_project/feathr/constants.py
tarockey/feathr
50e8a6d2b3f6230f49d46a78e9b4ab49d32a8282
[ "Apache-2.0" ]
null
null
null
feathr_project/feathr/constants.py
tarockey/feathr
50e8a6d2b3f6230f49d46a78e9b4ab49d32a8282
[ "Apache-2.0" ]
null
null
null
OUTPUT_PATH_TAG = "output_path" REDIS_PASSWORD = 'REDIS_PASSWORD'
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4
a37b7f120979cb0042c4fc584559227a210079b8
159
py
Python
pyf/_tmpnam.py
snoopyjc/pythonizer
6b3683084f41f0aa06b1b4e652a0f00b19cceac1
[ "Artistic-2.0" ]
1
2022-03-13T22:08:25.000Z
2022-03-13T22:08:25.000Z
pyf/_tmpnam.py
snoopyjc/pythonizer
6b3683084f41f0aa06b1b4e652a0f00b19cceac1
[ "Artistic-2.0" ]
21
2022-03-17T16:53:04.000Z
2022-03-31T23:55:24.000Z
pyf/_tmpnam.py
snoopyjc/pythonizer
6b3683084f41f0aa06b1b4e652a0f00b19cceac1
[ "Artistic-2.0" ]
null
null
null
def _tmpnam(): """Implementation of POSIX tmpnam() in list context""" ntf = tempfile.NamedTemporaryFile(delete=False) return (ntf, ntf.name)
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py
Python
djajax/apps.py
adamghill/djajax
33fbb8afa7df59fd3c24875c61a7bbd7f6a7c809
[ "MIT" ]
2
2020-01-26T11:45:25.000Z
2021-01-31T21:24:36.000Z
djajax/apps.py
adamghill/djajax
33fbb8afa7df59fd3c24875c61a7bbd7f6a7c809
[ "MIT" ]
1
2020-04-25T04:08:06.000Z
2020-04-25T13:27:56.000Z
djajax/apps.py
adamghill/djajax
33fbb8afa7df59fd3c24875c61a7bbd7f6a7c809
[ "MIT" ]
2
2020-01-30T16:11:40.000Z
2020-01-30T16:23:46.000Z
from django.apps import AppConfig class DjajaxConfig(AppConfig): name = 'djajax' label = 'djajax' verbose_name = "djajax"
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6e9eeec3387d82efbd78612e3612ae770e8c99a7
251
py
Python
pinto/pinto/admin/schema.py
wwitzel3/pinto
8114a733fb8ccaf9b030c64727f626c24ffe5788
[ "MIT" ]
3
2015-01-24T14:35:50.000Z
2016-07-06T10:04:50.000Z
pinto/pinto/admin/schema.py
wwitzel3/pinto
8114a733fb8ccaf9b030c64727f626c24ffe5788
[ "MIT" ]
null
null
null
pinto/pinto/admin/schema.py
wwitzel3/pinto
8114a733fb8ccaf9b030c64727f626c24ffe5788
[ "MIT" ]
null
null
null
import colander as c class Settings(c.MappingSchema): title = c.SchemaNode(c.String(), if_missing='Blog') subtitle = c.SchemaNode(c.String(), if_missing='This is my blog.') email = c.SchemaNode(c.String(), if_missing='user@example.com')
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4
6eb007b69d18d86aa6850776187cdb5a9b197b45
91
py
Python
tweethread/__main__.py
rcurtiss/tweethread
8c3d6fcd1c2a28081af2fb9d2798148544f67c0a
[ "MIT" ]
2
2017-06-24T23:11:48.000Z
2018-11-13T09:12:30.000Z
tweethread/__main__.py
rcurtiss/tweethread
8c3d6fcd1c2a28081af2fb9d2798148544f67c0a
[ "MIT" ]
null
null
null
tweethread/__main__.py
rcurtiss/tweethread
8c3d6fcd1c2a28081af2fb9d2798148544f67c0a
[ "MIT" ]
null
null
null
'''Tweethread main module''' from .core import main if __name__ == '__main__': main()
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1
0
0
0
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4
6eb08b3f2e39493af696fa7e67eef2e618b78e35
106
py
Python
tests/__init__.py
GeorgianBadita/Dronem-gym-envirnoment
f3b488f6a4b55722c4b129051555a68d7775278c
[ "MIT" ]
5
2020-06-13T10:43:42.000Z
2022-01-25T10:37:32.000Z
tests/__init__.py
GeorgianBadita/Dronem-gym-envirnoment
f3b488f6a4b55722c4b129051555a68d7775278c
[ "MIT" ]
null
null
null
tests/__init__.py
GeorgianBadita/Dronem-gym-envirnoment
f3b488f6a4b55722c4b129051555a68d7775278c
[ "MIT" ]
null
null
null
""" @author: Badita Marin-Georgian @email: geo.badita@gmail.com @date: 20.03.2020 00:48 """
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0.59434
15
106
4.2
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106
5
35
21.2
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0
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4
6e1c4ff00c22e51d27ab6c210b50cb1835a70c26
182
py
Python
src/engbook/asgi.py
ankurmonga7/scrum-2
4b0df1af8a61410eaaaf08c66c7c5f8b0c20fe01
[ "MIT" ]
8
2020-06-09T21:55:03.000Z
2021-10-06T04:00:01.000Z
src/engbook/asgi.py
ankurmonga7/scrum-2
4b0df1af8a61410eaaaf08c66c7c5f8b0c20fe01
[ "MIT" ]
25
2020-06-12T04:03:06.000Z
2022-03-12T00:31:22.000Z
src/engbook/asgi.py
ankurmonga7/scrum-2
4b0df1af8a61410eaaaf08c66c7c5f8b0c20fe01
[ "MIT" ]
29
2020-06-07T10:54:20.000Z
2021-03-22T14:02:16.000Z
import os from django.core.asgi import get_asgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'engbook.settings.prod_settings') application = get_asgi_application()
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6.041667
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0.076923
182
7
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4
6e348f2b6cc7fd260434729e46481bb936284826
103
py
Python
vedaseg/datasets/transforms/registry.py
E18301194/vedaseg
c62c8ea46dbba12f03262452dd7bed22969cfe4e
[ "Apache-2.0" ]
2
2020-07-15T02:36:46.000Z
2021-03-08T03:18:26.000Z
vedaseg/datasets/transforms/registry.py
E18301194/vedaseg
c62c8ea46dbba12f03262452dd7bed22969cfe4e
[ "Apache-2.0" ]
null
null
null
vedaseg/datasets/transforms/registry.py
E18301194/vedaseg
c62c8ea46dbba12f03262452dd7bed22969cfe4e
[ "Apache-2.0" ]
null
null
null
from vedaseg.utils import Registry import albumentations as albu TRANSFORMS = Registry('transforms')
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103
7
0.75
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5
36
20.6
0.933333
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1
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4
281e6298cb642481c45079fad95a610148b0fe5b
157
py
Python
scripts/tokenize.py
hannandarryl/MultilingualWordEmbeddings
ea1eaedee2bfd3803b32851a968fa1d39ba3f069
[ "Apache-2.0" ]
null
null
null
scripts/tokenize.py
hannandarryl/MultilingualWordEmbeddings
ea1eaedee2bfd3803b32851a968fa1d39ba3f069
[ "Apache-2.0" ]
null
null
null
scripts/tokenize.py
hannandarryl/MultilingualWordEmbeddings
ea1eaedee2bfd3803b32851a968fa1d39ba3f069
[ "Apache-2.0" ]
null
null
null
# Tokenize All 6 Files import sentencepiece as spm spm.SentencePieceTrainer.Train('--input=../data/UNv1.0.6way.train --model_prefix=enfr --vocabsize=8000')
31.4
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5.454545
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157
5
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