xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

637bd5b6a0fc52cd1b8316822afe9b47e0d46a7b

118

py

Python

recrawler/recrawl/__init__.py

Andyccs/sport-news-retrieval

12aad1f5c2436af4decd5cacbc25d4909d4551e0

[ "MIT" ]

6

2016-04-12T06:25:59.000Z

2017-05-23T18:10:40.000Z

recrawler/recrawl/__init__.py

Andyccs/sport-news-retrieval

12aad1f5c2436af4decd5cacbc25d4909d4551e0

[ "MIT" ]

3

2016-04-14T07:29:12.000Z

2016-04-14T16:12:06.000Z

recrawler/recrawl/__init__.py

Andyccs/sport-news-retrieval

12aad1f5c2436af4decd5cacbc25d4909d4551e0

[ "MIT" ]

2

2016-04-25T18:43:16.000Z

2020-03-17T15:20:41.000Z

import os import sys sys.path.append(os.path.abspath('../crawler')) sys.path.append(os.path.abspath('../classifier'))

23.6

49

0.728814

18

118

4.777778

0.444444

0.162791

0.302326

0.348837

0.604651

0

0.050847

118

4

50

29.5

0.767857

0

0.194915

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

63c4ddd562e7cb0305de3a123c4349f94c56207c

55

py

Python

backend/src/shared/domain_model_abc.py

tuod/bikerides

ef5dfd25c6642f740c36e68cb4548b5c80d7ab44

[ "Apache-2.0" ]

null

backend/src/shared/domain_model_abc.py

tuod/bikerides

ef5dfd25c6642f740c36e68cb4548b5c80d7ab44

[ "Apache-2.0" ]

6

2021-06-20T20:20:14.000Z

2021-06-21T21:33:05.000Z

backend/src/shared/domain_model_abc.py

tuod/bikerides

ef5dfd25c6642f740c36e68cb4548b5c80d7ab44

[ "Apache-2.0" ]

null

from abc import ABC class DomainModel(ABC): pass

9.166667

23

0.709091

8

55

4.875

0.75

0

0.236364

55

5

24

11

0.928571

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

9845a762afb8d3bded276c8da7b79d3d68cd90a0

43

py

Python

Configuration/AlCa/python/GlobalTag_condDBv2.py

gputtley/cmssw

c1ef8454804e4ebea8b65f59c4a952a6c94fde3b

[ "Apache-2.0" ]

6

2017-09-08T14:12:56.000Z

2022-03-09T23:57:01.000Z

Configuration/AlCa/python/GlobalTag_condDBv2.py

gputtley/cmssw

c1ef8454804e4ebea8b65f59c4a952a6c94fde3b

[ "Apache-2.0" ]

545

2017-09-19T17:10:19.000Z

2022-03-07T16:55:27.000Z

Configuration/AlCa/python/GlobalTag_condDBv2.py

gputtley/cmssw

c1ef8454804e4ebea8b65f59c4a952a6c94fde3b

[ "Apache-2.0" ]

14

2017-10-04T09:47:21.000Z

2019-10-23T18:04:45.000Z

from Configuration.AlCa.GlobalTag import *

21.5

42

0.837209

5

43

7.2

1

0

0.093023

43

1

43

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

986e9873f3cf0907380c9590738c7700e8fbd298

31

py

Python

rozet/__init__.py

RozetProtocol/rozetPythonSdk

ced086ec42e9963136fee08f76a4361406ed9f64

[ "MIT" ]

null

rozet/__init__.py

RozetProtocol/rozetPythonSdk

ced086ec42e9963136fee08f76a4361406ed9f64

[ "MIT" ]

null

rozet/__init__.py

RozetProtocol/rozetPythonSdk

ced086ec42e9963136fee08f76a4361406ed9f64

[ "MIT" ]

null

from .rozet import Rozet, Badge

31

0.806452

5

31

5

0.8

0

0.129032

31

1

31

0.925926

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

7f74f032998303e51fd412520ab34653773127a3

10,859

py

Python

devel/lib/python2.7/dist-packages/plutodrone/srv/_PlutoPilot.py

EveVengerov/Gesture-Controlling-Drone

8fe38dbfdc496472e13e76bcdb55b471f51b42ea

[ "MIT" ]

2

2021-09-22T19:06:19.000Z

2021-09-22T20:22:40.000Z

devel/lib/python2.7/dist-packages/plutodrone/srv/_PlutoPilot.py

EveVengerov/Gesture-Controlling-Drone

8fe38dbfdc496472e13e76bcdb55b471f51b42ea

[ "MIT" ]

null

devel/lib/python2.7/dist-packages/plutodrone/srv/_PlutoPilot.py

EveVengerov/Gesture-Controlling-Drone

8fe38dbfdc496472e13e76bcdb55b471f51b42ea

[ "MIT" ]

null

# This Python file uses the following encoding: utf-8 """autogenerated by genpy from plutodrone/PlutoPilotRequest.msg. Do not edit.""" import codecs import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class PlutoPilotRequest(genpy.Message): _md5sum = "f8dca44e14493750e1a83a8276b2d8e4" _type = "plutodrone/PlutoPilotRequest" _has_header = False # flag to mark the presence of a Header object _full_text = """ int32 roll int32 pitch int32 yaw float32 accX float32 accY float32 accZ float32 gyroX float32 gyroY float32 gyroZ float32 magX float32 magY float32 magZ float32 alt float32 battery int32 rssi """ __slots__ = ['roll','pitch','yaw','accX','accY','accZ','gyroX','gyroY','gyroZ','magX','magY','magZ','alt','battery','rssi'] _slot_types = ['int32','int32','int32','float32','float32','float32','float32','float32','float32','float32','float32','float32','float32','float32','int32'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: roll,pitch,yaw,accX,accY,accZ,gyroX,gyroY,gyroZ,magX,magY,magZ,alt,battery,rssi :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(PlutoPilotRequest, self).__init__(*args, **kwds) # message fields cannot be None, assign default values for those that are if self.roll is None: self.roll = 0 if self.pitch is None: self.pitch = 0 if self.yaw is None: self.yaw = 0 if self.accX is None: self.accX = 0. if self.accY is None: self.accY = 0. if self.accZ is None: self.accZ = 0. if self.gyroX is None: self.gyroX = 0. if self.gyroY is None: self.gyroY = 0. if self.gyroZ is None: self.gyroZ = 0. if self.magX is None: self.magX = 0. if self.magY is None: self.magY = 0. if self.magZ is None: self.magZ = 0. if self.alt is None: self.alt = 0. if self.battery is None: self.battery = 0. if self.rssi is None: self.rssi = 0 else: self.roll = 0 self.pitch = 0 self.yaw = 0 self.accX = 0. self.accY = 0. self.accZ = 0. self.gyroX = 0. self.gyroY = 0. self.gyroZ = 0. self.magX = 0. self.magY = 0. self.magZ = 0. self.alt = 0. self.battery = 0. self.rssi = 0 def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self buff.write(_get_struct_3i11fi().pack(_x.roll, _x.pitch, _x.yaw, _x.accX, _x.accY, _x.accZ, _x.gyroX, _x.gyroY, _x.gyroZ, _x.magX, _x.magY, _x.magZ, _x.alt, _x.battery, _x.rssi)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ codecs.lookup_error("rosmsg").msg_type = self._type try: end = 0 _x = self start = end end += 60 (_x.roll, _x.pitch, _x.yaw, _x.accX, _x.accY, _x.accZ, _x.gyroX, _x.gyroY, _x.gyroZ, _x.magX, _x.magY, _x.magZ, _x.alt, _x.battery, _x.rssi,) = _get_struct_3i11fi().unpack(str[start:end]) return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self buff.write(_get_struct_3i11fi().pack(_x.roll, _x.pitch, _x.yaw, _x.accX, _x.accY, _x.accZ, _x.gyroX, _x.gyroY, _x.gyroZ, _x.magX, _x.magY, _x.magZ, _x.alt, _x.battery, _x.rssi)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ codecs.lookup_error("rosmsg").msg_type = self._type try: end = 0 _x = self start = end end += 60 (_x.roll, _x.pitch, _x.yaw, _x.accX, _x.accY, _x.accZ, _x.gyroX, _x.gyroY, _x.gyroZ, _x.magX, _x.magY, _x.magZ, _x.alt, _x.battery, _x.rssi,) = _get_struct_3i11fi().unpack(str[start:end]) return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill _struct_I = genpy.struct_I def _get_struct_I(): global _struct_I return _struct_I _struct_3i11fi = None def _get_struct_3i11fi(): global _struct_3i11fi if _struct_3i11fi is None: _struct_3i11fi = struct.Struct("<3i11fi") return _struct_3i11fi # This Python file uses the following encoding: utf-8 """autogenerated by genpy from plutodrone/PlutoPilotResponse.msg. Do not edit.""" import codecs import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class PlutoPilotResponse(genpy.Message): _md5sum = "c7a7b135453cda7e71490802dabf7edd" _type = "plutodrone/PlutoPilotResponse" _has_header = False # flag to mark the presence of a Header object _full_text = """ int32 rcRoll int32 rcPitch int32 rcYaw int32 rcThrottle int32 rcAUX1 int32 rcAUX2 int32 rcAUX3 int32 rcAUX4 """ __slots__ = ['rcRoll','rcPitch','rcYaw','rcThrottle','rcAUX1','rcAUX2','rcAUX3','rcAUX4'] _slot_types = ['int32','int32','int32','int32','int32','int32','int32','int32'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: rcRoll,rcPitch,rcYaw,rcThrottle,rcAUX1,rcAUX2,rcAUX3,rcAUX4 :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(PlutoPilotResponse, self).__init__(*args, **kwds) # message fields cannot be None, assign default values for those that are if self.rcRoll is None: self.rcRoll = 0 if self.rcPitch is None: self.rcPitch = 0 if self.rcYaw is None: self.rcYaw = 0 if self.rcThrottle is None: self.rcThrottle = 0 if self.rcAUX1 is None: self.rcAUX1 = 0 if self.rcAUX2 is None: self.rcAUX2 = 0 if self.rcAUX3 is None: self.rcAUX3 = 0 if self.rcAUX4 is None: self.rcAUX4 = 0 else: self.rcRoll = 0 self.rcPitch = 0 self.rcYaw = 0 self.rcThrottle = 0 self.rcAUX1 = 0 self.rcAUX2 = 0 self.rcAUX3 = 0 self.rcAUX4 = 0 def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self buff.write(_get_struct_8i().pack(_x.rcRoll, _x.rcPitch, _x.rcYaw, _x.rcThrottle, _x.rcAUX1, _x.rcAUX2, _x.rcAUX3, _x.rcAUX4)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ codecs.lookup_error("rosmsg").msg_type = self._type try: end = 0 _x = self start = end end += 32 (_x.rcRoll, _x.rcPitch, _x.rcYaw, _x.rcThrottle, _x.rcAUX1, _x.rcAUX2, _x.rcAUX3, _x.rcAUX4,) = _get_struct_8i().unpack(str[start:end]) return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self buff.write(_get_struct_8i().pack(_x.rcRoll, _x.rcPitch, _x.rcYaw, _x.rcThrottle, _x.rcAUX1, _x.rcAUX2, _x.rcAUX3, _x.rcAUX4)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ codecs.lookup_error("rosmsg").msg_type = self._type try: end = 0 _x = self start = end end += 32 (_x.rcRoll, _x.rcPitch, _x.rcYaw, _x.rcThrottle, _x.rcAUX1, _x.rcAUX2, _x.rcAUX3, _x.rcAUX4,) = _get_struct_8i().unpack(str[start:end]) return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill _struct_I = genpy.struct_I def _get_struct_I(): global _struct_I return _struct_I _struct_8i = None def _get_struct_8i(): global _struct_8i if _struct_8i is None: _struct_8i = struct.Struct("<8i") return _struct_8i class PlutoPilot(object): _type = 'plutodrone/PlutoPilot' _md5sum = '4694157b8edbc1fcf473057bcd528de1' _request_class = PlutoPilotRequest _response_class = PlutoPilotResponse

33.82866

193

0.652638

1,534

10,859

4.447849

0.117992

0.021984

0.03371

0.03283

0.748498

0.743661

0.738531

0.723289

0

0.037666

0.224975

10,859

320

194

33.934375

0.773051

0.233815

0

0.663677

1

0

0.124937

0.021936

0

0.002521

0

1

0.071749

false

0

0.035874

0

0.237668

0

null

0

1

0

1

0

null

0

6

7f8ca6924d467738b16bc48a7cff1ed8e459031a

82

py

Python

demo_impl/webui/api_blueprint/api_blueprint.py

JFF-Bohdan/vrc_t70_demo

32c9630f3a216d1ddd98d67f36515d2aa0d15569

[ "MIT" ]

null

demo_impl/webui/api_blueprint/api_blueprint.py

JFF-Bohdan/vrc_t70_demo

32c9630f3a216d1ddd98d67f36515d2aa0d15569

[ "MIT" ]

null

demo_impl/webui/api_blueprint/api_blueprint.py

JFF-Bohdan/vrc_t70_demo

32c9630f3a216d1ddd98d67f36515d2aa0d15569

[ "MIT" ]

null

from flask import Blueprint api_blueprint = Blueprint("API Blueprint", __name__)

20.5

52

0.804878

10

82

6.1

0.6

0.393443

0.688525

0

0.121951

82

3

53

27.333333

0.847222

0

0.158537

0

1

0

false

0

0.5

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

6

f68f620ea3a111655ec40cf46b6f086949bfbbb2

109

py

Python

solas/_config/__init__.py

domoritz/solas

23878fed9efbf14781791dafec26705c6762cfd1

[ "Apache-2.0" ]

2

2021-11-09T17:54:43.000Z

2022-01-28T15:38:58.000Z

solas/_config/__init__.py

domoritz/solas

23878fed9efbf14781791dafec26705c6762cfd1

[ "Apache-2.0" ]

27

2021-04-08T18:58:49.000Z

2021-10-11T02:33:35.000Z

solas/_config/__init__.py

domoritz/solas

23878fed9efbf14781791dafec26705c6762cfd1

[ "Apache-2.0" ]

1

2021-06-18T02:41:48.000Z

from solas._config import config from solas._config.config import warning_format from .config import Config

21.8

47

0.844037

16

109

5.5625

0.375

0.404494

0.337079

0

0.119266

109

4

48

27.25

0.927083

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

f6a089f30af7ee171a6f4cb00e71b15196cc548a

147

py

Python

losses/__init__.py

kilsenp/person-multi-task-dataset

2f186cafa3db2c77d8c6c4309b2cadc13d4f92ab

[ "MIT" ]

4

2020-10-08T03:31:36.000Z

2021-03-06T08:06:23.000Z

reid/scripts/triplet_reid/losses/__init__.py

VisualComputingInstitute/CROWDBOT_perception

df98f3f658c39fb3fa4ac0456f1214f7918009f6

[ "MIT" ]

7

2021-06-08T20:55:10.000Z

2022-02-10T00:38:32.000Z

reid/scripts/triplet_reid/losses/__init__.py

VisualComputingInstitute/CROWDBOT_perception

df98f3f658c39fb3fa4ac0456f1214f7918009f6

[ "MIT" ]

null

choices = ["BatchHard", "BatchSoft", "BatchHardWithSoftmax", "BatchHardSingleWithSoftmax", "BatchHardWithJunkSigmoid", "BatchHardWithJunkSoftmax"]

73.5

146

0.809524

7

147

17

1

0

0.054422

147

1

147

0.856115

0

0.761905

0.503401

0

1

0

false

0

1

0

1

null

0

1

0

1

0

1

null

0

6

f6f210ef2ba8b79122ff4cea474e0b99a890db5c

70

py

Python

115/indents.py

xtakacsx/bitesofpy

91487cbf58af5eb58a0343ff2231a90c1032acb0

[ "MIT" ]

1

2020-01-10T00:05:34.000Z

115/indents.py

xtakacsx/bitesofpy

91487cbf58af5eb58a0343ff2231a90c1032acb0

[ "MIT" ]

null

115/indents.py

xtakacsx/bitesofpy

91487cbf58af5eb58a0343ff2231a90c1032acb0

[ "MIT" ]

null

def count_indents(text): return len(text) - len(text.lstrip(' '))

23.333333

44

0.657143

10

70

4.5

0.7

0.311111

0

0.157143

70

2

45

35

0.762712

0

0.014286

0

1

0.5

false

0

0.5

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

63f765122ae8aa2a3b8c72b21f9f38debc8ff17d

6,393

py

Python

src/FFEAT/test/strategies/selection/ElitismTest.py

PatrikValkovic/MasterThesis

6e9f3b186541db6c8395ebc96ace7289d01c805b

[ "MIT" ]

null

src/FFEAT/test/strategies/selection/ElitismTest.py

PatrikValkovic/MasterThesis

6e9f3b186541db6c8395ebc96ace7289d01c805b

[ "MIT" ]

null

src/FFEAT/test/strategies/selection/ElitismTest.py

PatrikValkovic/MasterThesis

6e9f3b186541db6c8395ebc96ace7289d01c805b

[ "MIT" ]

null

############################### # # Created by Patrik Valkovic # 3/14/2021 # ############################### import unittest import torch as t import ffeat from ffeat.strategies import selection from ffeat.utils import decay from test.repeat import repeat class ElitismTest(unittest.TestCase): def test_should_work(self): s = selection.Elitism(10, selection.Tournament()) pop, fitness = t.rand((100,60)), t.randn((100,)) (newpop,), kargs = s(fitness, pop) self.assertEqual(newpop.shape, (100,60)) def test_should_keep_1(self): s = selection.Elitism(1, lambda *_, **__: ((t.rand((100,60)) + 10,), __)) pop, fitness = t.rand((100,60)), t.randn((100,)) (newpop,), kargs = s(fitness, pop) self.assertEqual(newpop.shape, (100,60)) self.assertEqual(t.count_nonzero(t.all(newpop == pop, dim=-1)), 1) def test_should_keep_10(self): s = selection.Elitism(10, lambda *_, **__: ((t.rand((100,60)) + 10,), __)) pop, fitness = t.rand((100,60)), t.randn((100,)) (newpop,), kargs = s(fitness, pop) self.assertEqual(newpop.shape, (100,60)) self.assertEqual(t.count_nonzero(t.all(newpop == pop, dim=-1)), 10) def test_should_keep_1_percentage(self): s = selection.Elitism(0.01, lambda *_, **__: ((t.rand((100,60)) + 10,), __)) pop, fitness = t.rand((100,60)), t.randn((100,)) (newpop,), kargs = s(fitness, pop) self.assertEqual(newpop.shape, (100,60)) self.assertEqual(t.count_nonzero(t.all(newpop == pop, dim=-1)), 1) def test_should_keep_16_percentage(self): s = selection.Elitism(0.16, lambda *_, **__: ((t.rand((100,60)) + 10,), __)) pop, fitness = t.rand((100,60)), t.randn((100,)) (newpop,), kargs = s(fitness, pop) self.assertEqual(newpop.shape, (100,60)) self.assertEqual(t.count_nonzero(t.all(newpop == pop, dim=-1)), 16) def test_should_keep_1_maximization(self): s = selection.Elitism(1, lambda *_, **__: ((t.rand((100,60)) + 10,), __), maximization=True) pop, fitness = t.rand((100,60)), t.randn((100,)) best_index = t.argmax(fitness) (newpop,), kargs = s(fitness, pop) self.assertEqual(newpop.shape, (100,60)) self.assertEqual(t.count_nonzero(t.all(newpop == pop, dim=-1)), 1) self.assertTrue(t.all(t.abs(newpop[best_index] - pop[best_index]) < 1e-9)) def test_should_keep_10_maximization(self): s = selection.Elitism(10, lambda *_, **__: ((t.rand((100,60)) + 10,), __), maximization=True) pop, fitness = t.rand((100,60)), t.randn((100,)) q = t.quantile(fitness, 0.9) best_indices = t.where(fitness >= q)[0] self.assertEqual(len(best_indices), 10) (newpop,), kargs = s(fitness, pop) self.assertEqual(newpop.shape, (100,60)) self.assertEqual(t.count_nonzero(t.all(newpop == pop, dim=-1)), 10) for bi in best_indices: self.assertTrue(t.all(t.abs(newpop[bi] - pop[bi]) < 1e-9)) @unittest.skipIf(not t.cuda.is_available(), 'CUDA not available') def test_should_keep_16_percentage_cuda(self): s = selection.Elitism(0.16, lambda *_, **__: ((t.rand((100,60)) + 10,), __)) pop, fitness = t.rand((100,60)), t.randn((100,)) (newpop,), kargs = s(fitness, pop) self.assertEqual(newpop.shape, (100,60)) self.assertEqual(t.count_nonzero(t.all(newpop == pop, dim=-1)), 16) def test_fraction_callback(self): s = selection.Elitism(decay.Linear(0.1, 0.01), selection.Tournament()) pop, fitness = t.rand((100,60)), t.randn((100,)) (newpop,), kargs = s(fitness, pop, iteration=13, max_iteration=23) self.assertEqual(newpop.shape, (100,60)) def test_absolute_callback(self): s = selection.Elitism(decay.Linear(5, 2, result_type=int), selection.Tournament()) pop, fitness = t.rand((100,60)), t.randn((100,)) (newpop,), kargs = s(fitness, pop, iteration=13, max_iteration=23) self.assertEqual(newpop.shape, (100,60)) def test_invalid_fraction(self): s = selection.Elitism(decay.Linear(11.3, 6.2), selection.Tournament()) pop, fitness = t.rand((100,60)), t.randn((100,)) with self.assertRaises(ValueError): s(fitness, pop, iteration=13, max_iteration=23) def test_invalid_absolute(self): s = selection.Elitism(decay.Linear(196, 112, result_type=int), selection.Tournament()) pop, fitness = t.rand((100,60)), t.randn((100,)) with self.assertRaises(ValueError): s(fitness, pop, iteration=13, max_iteration=23) def test_invalid_type_during_run(self): s = selection.Elitism(lambda *_, **__: object(), selection.Tournament()) pop, fitness = t.rand((100,60)), t.randn((100,)) with self.assertRaises(ValueError): s(fitness, pop, iteration=13, max_iteration=23) @repeat(5) def test_in_alg(self): _f = lambda x: t.sum(t.pow(x, 2), dim=-1) alg = ffeat.strategies.EvolutionStrategy( ffeat.strategies.initialization.Uniform(100, -5.0, 5.0, 40), ffeat.strategies.evaluation.Evaluation(_f), ffeat.strategies.selection.Elitism(2, ffeat.strategies.selection.Tournament(1.0), ffeat.strategies.mutation.AddFromNormal(0.1, 0.1), ffeat.strategies.crossover.OnePoint1D(40, replace_parents=True), ), iterations=500 ) (pop,), kargs = alg() self.assertTrue(t.all(_f(pop) < 1)) @unittest.skipIf(not t.cuda.is_available(), 'CUDA not available') @repeat(5) def test_in_alg_cuda(self): _f = lambda x: t.sum(t.pow(x, 2), dim=-1) alg = ffeat.strategies.EvolutionStrategy( ffeat.strategies.initialization.Uniform(100, -5.0, 5.0, 40, device='cuda:0'), ffeat.strategies.evaluation.Evaluation(_f), ffeat.strategies.selection.Elitism(2, ffeat.strategies.selection.Tournament(1.0), ffeat.strategies.mutation.AddFromNormal(0.1, 0.1), ffeat.strategies.crossover.OnePoint1D(40, replace_parents=True), ), iterations=500 ) (pop,), kargs = alg() self.assertTrue(t.all(_f(pop) < 1)) if __name__ == '__main__': unittest.main()

44.089655

101

0.603003

843

6,393

4.428233

0.142349

0.040182

0.042861

0.053576

0.866059

0.837128

0.790249

0.753817

0.751942

0

0.071386

0.219928

6,393

144

102

44.395833

0.677161

0.005631

0

0.616667

0

0.007949

0

0.208333

1

0.125

false

0

0.05

0

0.183333

0

null

0

1

0

null

0

6

124633bd0efa7de4f6b01a95125a7e5dae902839

218

py

Python

lgtv_rs232/commands/screen/auto_tune.py

davo22/lgtv_rs232

40562cddf7acdf6fa95124029595e3838dd9e7b0

[ "MIT" ]

null

lgtv_rs232/commands/screen/auto_tune.py

davo22/lgtv_rs232

40562cddf7acdf6fa95124029595e3838dd9e7b0

[ "MIT" ]

null

lgtv_rs232/commands/screen/auto_tune.py

davo22/lgtv_rs232

40562cddf7acdf6fa95124029595e3838dd9e7b0

[ "MIT" ]

null

class AutoTuneCommands(object): _command = "ju" def __init__(self, send_command): self._send_command = send_command async def call(self): return await self._send_command(self._command, 1)

24.222222

57

0.688073

27

218

5.111111

0.518519

0.318841

0.326087

0.275362

0

0.005882

0.220183

218

8

58

27.25

0.805882

0

0.009174

0

1

0.166667

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

6

126325022449c57eefddaf73c0c0740a1f9b9aaf

18,759

py

Python

tests/timeseries/test_flag_jumps.py

evan-anderson-ts/pyjanitor

3e62283b2d07c9f94dab6b5cb5c695b517a6bf84

[ "MIT" ]

null

tests/timeseries/test_flag_jumps.py

evan-anderson-ts/pyjanitor

3e62283b2d07c9f94dab6b5cb5c695b517a6bf84

[ "MIT" ]

null

tests/timeseries/test_flag_jumps.py

evan-anderson-ts/pyjanitor

3e62283b2d07c9f94dab6b5cb5c695b517a6bf84

[ "MIT" ]

null

""" Unit tests for `.flag_jumps()`. """ import pandas as pd import numpy as np import pytest import janitor.timeseries # noqa: F401 from janitor.timeseries import _flag_jumps_single_col from janitor.errors import JanitorError @pytest.fixture def timeseries_dataframe() -> pd.DataFrame: """Returns a time series dataframe.""" ts_index = pd.date_range("1/1/2019", periods=10, freq="1H") c1 = [*range(10)] c2 = [*range(100, 110)] c3 = c1[::-1] c4 = c2[::-1] c5 = [-2.0, -1.0, 0, 1.0, 2.0, 1.0, 0, -1.0, -2.0, -7.5] test_df = pd.DataFrame( {"col1": c1, "col2": c2, "col3": c3, "col4": c4, "col5": c5}, index=ts_index, ) return test_df @pytest.mark.timeseries def test__flag_jumps_single_col_raises_error_for_bad_scale_type( timeseries_dataframe ): """Test that invalid scale argument raises a JanitorError.""" # Setup df = timeseries_dataframe expected_error_msg = ( "Unrecognized scale: 'bad_scale'. " + "Must be one of: ['absolute', 'percentage']." ) # Exercise with pytest.raises(JanitorError) as error_info: _flag_jumps_single_col( df, col="col1", scale="bad_scale", direction="any", threshold=1 ) # Verify assert str(error_info.value) == expected_error_msg # Cleanup - none necessary @pytest.mark.timeseries def test__flag_jumps_single_col_raises_error_for_bad_direction_type( timeseries_dataframe ): """Test that invalid direction argument raises a JanitorError.""" # Setup df = timeseries_dataframe expected_error_msg = ( "Unrecognized direction: 'bad_direction'. " + "Must be one of: ['increasing', 'decreasing', 'any']." ) # Exercise with pytest.raises(JanitorError) as error_info: _flag_jumps_single_col( df, col="col1", scale="absolute", direction="bad_direction", threshold=1, ) # Verify assert str(error_info.value) == expected_error_msg # Cleanup - none necessary @pytest.mark.timeseries def test__flag_jumps_single_col_raises_error_for_bad_threshold_value( timeseries_dataframe ): """Test that invalid threshold argument raises a JanitorError.""" # Setup df = timeseries_dataframe expected_error_msg = ( "Unrecognized threshold: -1. This value must be >= 0.0. " + "Use 'direction' to specify positive or negative intent." ) # Exercise with pytest.raises(JanitorError) as error_info: _flag_jumps_single_col( df, col="col1", scale="absolute", direction="any", threshold=-1 ) # Verify assert str(error_info.value) == expected_error_msg # Cleanup - none necessary @pytest.mark.timeseries @pytest.mark.parametrize( "col, direction, expected", [ ("col1", "increasing", [0, 1, 1, 1, 1, 1, 1, 1, 1, 1]), ("col2", "increasing", [0, 1, 1, 1, 1, 1, 1, 1, 1, 1]), ("col3", "decreasing", [0, 1, 1, 1, 1, 1, 1, 1, 1, 1]), ("col4", "decreasing", [0, 1, 1, 1, 1, 1, 1, 1, 1, 1]), ("col5", "increasing", [0, 1, 1, 1, 1, 0, 0, 0, 0, 0]), ("col5", "decreasing", [0, 0, 0, 0, 0, 1, 1, 1, 1, 1]), ], ) def test__flag_jumps_single_col_absolute_scale_correct_direction( timeseries_dataframe, col, direction, expected ): """ Test utility function for flagging jumps with absolute scale. Here, the correct/anticipated `direction` is provided (i.e. increasing when the df column is truly increasing and decreasing when the df column is truly decreasing) """ # Setup df = timeseries_dataframe # Exercise result = _flag_jumps_single_col( df, col, scale="absolute", direction=direction, threshold=0.5 ) # Verify np.testing.assert_array_equal(result.array, expected) # Cleanup - none necessary @pytest.mark.timeseries @pytest.mark.parametrize( "col, direction, expected", [ ("col1", "decreasing", [0] * 10), ("col2", "decreasing", [0] * 10), ("col3", "increasing", [0] * 10), ("col4", "increasing", [0] * 10), ("col5", "decreasing", [0, 0, 0, 0, 0, 1, 1, 1, 1, 1]), ("col5", "increasing", [0, 1, 1, 1, 1, 0, 0, 0, 0, 0]), ], ) def test__flag_jumps_single_col_absolute_scale_inverse_direction( timeseries_dataframe, col, direction, expected ): """ Test utility function for flagging jumps with absolute scale. Here, the inverse `direction` is provided so should not flag anything (i.e. increasing when the df column is truly decreasing and increasing when the df column is truly increasing) """ # Setup df = timeseries_dataframe # Exercise result = _flag_jumps_single_col( df, col, scale="absolute", direction=direction, threshold=0.5 ) # Verify np.testing.assert_array_equal(result.array, expected) # Cleanup - none necessary @pytest.mark.timeseries @pytest.mark.parametrize("col", ("col1", "col2", "col3", "col4", "col5")) def test__flag_jumps_single_col_absolute_scale_any_direction( timeseries_dataframe, col ): """ Test utility function for flagging jumps with absolute scale. Here, the any `direction` is provided so should flag everything. """ # Setup df = timeseries_dataframe # Exercise result = _flag_jumps_single_col( df, col, scale="absolute", direction="any", threshold=0.5 ) # Verify np.testing.assert_array_equal(result.array, [0, 1, 1, 1, 1, 1, 1, 1, 1, 1]) # Cleanup - none necessary @pytest.mark.timeseries def test__flag_jumps_single_col_absolute_scale_flags_large_jump( timeseries_dataframe ): """ Test utility function for flagging jumps with absolute scale. Here, a large threshold is used to verify only one row is flagged. """ # Setup df = timeseries_dataframe # Exercise result_incr = _flag_jumps_single_col( df, "col5", scale="absolute", direction="increasing", threshold=5 ) result_decr = _flag_jumps_single_col( df, "col5", scale="absolute", direction="decreasing", threshold=5 ) result_any = _flag_jumps_single_col( df, "col5", scale="absolute", direction="any", threshold=5 ) # Verify np.testing.assert_array_equal(result_incr.array, [0] * 10) np.testing.assert_array_equal( result_decr.array, [0, 0, 0, 0, 0, 0, 0, 0, 0, 1] ) np.testing.assert_array_equal( result_any.array, [0, 0, 0, 0, 0, 0, 0, 0, 0, 1] ) # Cleanup - none necessary @pytest.mark.timeseries @pytest.mark.parametrize( "col, direction, expected", [ ("col1", "increasing", [0, 1, 1, 1, 1, 0, 0, 0, 0, 0]), ("col2", "increasing", [0] * 10), ("col3", "decreasing", [0, 0, 0, 0, 0, 0, 0, 1, 1, 1]), ("col4", "decreasing", [0] * 10), ("col5", "increasing", [0, 1, 1, 1, 1, 0, 0, 0, 0, 0]), ("col5", "decreasing", [0, 0, 0, 0, 0, 1, 1, 1, 1, 1]), ], ) def test__flag_jumps_single_col_percentage_scale_correct_direction( timeseries_dataframe, col, direction, expected ): """ Test utility function for flagging jumps with percentage scale and a 25% jump. Here, the correct/anticipated `direction` is provided (i.e. increasing when the df column is truly increasing and decreasing when the df column is truly decreasing). """ # Setup df = timeseries_dataframe # Exercise result = _flag_jumps_single_col( df, col, scale="percentage", direction=direction, threshold=0.25 ) # Verify np.testing.assert_array_equal(result.array, expected) # Cleanup - none necessary @pytest.mark.timeseries @pytest.mark.parametrize( "col, direction, expected", [ ("col1", "decreasing", [0] * 10), ("col2", "decreasing", [0] * 10), ("col3", "increasing", [0] * 10), ("col4", "increasing", [0] * 10), ("col5", "decreasing", [0, 0, 0, 0, 0, 1, 1, 1, 1, 1]), ("col5", "increasing", [0, 1, 1, 1, 1, 0, 0, 0, 0, 0]), ], ) def test__flag_jumps_single_col_percentage_scale_inverse_direction( timeseries_dataframe, col, direction, expected ): """ Test utility function for flagging jumps with percentage scale and a 25% jump. Here, the inverse `direction` is provided so should not flag anything (i.e. increasing when the df column is truly decreasing and increasing when the df column is truly increasing). """ # Setup df = timeseries_dataframe # Exercise result = _flag_jumps_single_col( df, col, scale="percentage", direction=direction, threshold=0.25 ) # Verify np.testing.assert_array_equal(result.array, expected) # Cleanup - none necessary @pytest.mark.timeseries @pytest.mark.parametrize( "col, expected", [ ("col1", [0, 1, 1, 1, 1, 1, 1, 1, 1, 1]), ("col2", [0] * 10), ("col3", [0, 1, 1, 1, 1, 1, 1, 1, 1, 1]), ("col4", [0] * 10), ("col5", [0, 1, 1, 1, 1, 1, 1, 1, 1, 1]), ], ) def test__flag_jumps_single_col_percentage_scale_any_direction( timeseries_dataframe, col, expected ): """ Test utility function for flagging jumps with percentage scale and a 10% jump. Here, the any direction is provided so should flag everything. """ # Setup df = timeseries_dataframe # Exercise result = _flag_jumps_single_col( df, col, scale="percentage", direction="any", threshold=0.10 ) # Verify np.testing.assert_array_equal(result.array, expected) # Cleanup - none necessary @pytest.mark.timeseries def test__flag_jumps_single_col_percentage_scale_flags_large_jump( timeseries_dataframe ): """ Test utility function for flagging jumps with percentage scale and a 100% jump. Here, a large threshold is used to verify only drastically changed rows are flagged. """ # Setup df = timeseries_dataframe # Exercise result_incr = _flag_jumps_single_col( df, "col5", scale="percentage", direction="increasing", threshold=1.0 ) result_decr = _flag_jumps_single_col( df, "col5", scale="percentage", direction="decreasing", threshold=1.0 ) result_any = _flag_jumps_single_col( df, "col5", scale="percentage", direction="any", threshold=1.0 ) # Verify np.testing.assert_array_equal( result_incr.array, [0, 0, 0, 1, 0, 0, 0, 0, 0, 0] ) np.testing.assert_array_equal( result_decr.array, [0, 0, 0, 0, 0, 0, 0, 1, 0, 1] ) np.testing.assert_array_equal( result_any.array, [0, 0, 0, 1, 0, 0, 0, 1, 0, 1] ) # Cleanup - none necessary @pytest.mark.timeseries def test_flag_jumps_raises_error_for_strict_no_arg_dicts(timeseries_dataframe): """ Test that an error is raised when `strict=True` and no input arguments are of type dict. """ # Setup df = timeseries_dataframe # Exercise expected_error_msg = ( "When enacting 'strict=True', 'scale', 'direction', " + "or 'threshold' must be a dictionary." ) # Exercise with pytest.raises(JanitorError) as error_info: df.flag_jumps( scale="absolute", direction="any", threshold=0, strict=True ) # Verify assert str(error_info.value) == expected_error_msg # Cleanup - none necessary @pytest.mark.timeseries def test_flag_jumps_default_args(timeseries_dataframe): """ Test the default values behave as expected. Namely, `scale=percentage`, `direction=any`, `threshold=0.0` and `strict=False`. """ # Setup df = timeseries_dataframe orig_cols = df.columns expected = np.ones((10, 5), dtype=int) expected[0, :] = 0 expected_cols = [f"{c}_jump_flag" for c in orig_cols] expected_df = pd.DataFrame(expected, columns=expected_cols, index=df.index) # Exercise df = df.flag_jumps() # Verify assert list(df.columns) == list(orig_cols) + expected_cols assert df.filter(regex="flag").equals(expected_df) # Cleanup - none necessary @pytest.mark.timeseries def test_flag_jumps_all_args_specifed_as_non_dict(timeseries_dataframe): """Test provided kwargs (not of type dict) behave as expected.""" # Setup df = timeseries_dataframe orig_cols = df.columns expected = np.ones((10, 5), dtype=int) expected[0, :] = 0 expected[:, 2:4] = 0 expected[5:10, 4] = 0 expected_cols = [f"{c}_jump_flag" for c in orig_cols] expected_df = pd.DataFrame(expected, columns=expected_cols, index=df.index) # Exercise df = df.flag_jumps( scale="absolute", direction="increasing", threshold=0, strict=False ) # Verify assert list(df.columns) == list(orig_cols) + expected_cols assert df.filter(regex="flag").equals(expected_df) # Cleanup - none necessary @pytest.mark.timeseries def test_flag_jumps_all_args_specified_as_dict(timeseries_dataframe): """ Test provided kwargs (of type dict) behaves as expected. Since strict defaults to `False`, col3, col4, and col5 will be flagged and will use default args (`scale=percentage`, `direction=any`, and `threshold=0.0`). """ df = timeseries_dataframe orig_cols = df.columns expected = np.ones((10, 5), dtype=int) expected[0, :] = 0 expected[:, 0:2] = 0 expected_cols = [f"{c}_jump_flag" for c in orig_cols] expected_df = pd.DataFrame(expected, columns=expected_cols, index=df.index) # Exercise df = df.flag_jumps( scale=dict(col1="absolute", col2="percentage"), direction=dict(col1="increasing", col2="any"), threshold=dict(col1=1, col2=2), ) # Verify assert list(df.columns) == list(orig_cols) + expected_cols assert df.filter(regex="flag").equals(expected_df) # Cleanup - none necessary @pytest.mark.timeseries def test_flag_jumps_strict_with_both_cols_in_all_args(timeseries_dataframe): """ Test provided strict behaves as expected (only col1 and col2 flagged). """ df = timeseries_dataframe orig_cols = df.columns expected = np.zeros((10, 2), dtype=int) expected_cols = ["col1_jump_flag", "col2_jump_flag"] expected_df = pd.DataFrame(expected, columns=expected_cols, index=df.index) # Exercise df = df.flag_jumps( scale=dict(col1="absolute", col2="percentage"), direction=dict(col1="increasing", col2="any"), threshold=dict(col1=1, col2=2), strict=True, ) # Verify assert list(df.columns) == list(orig_cols) + expected_cols assert df.filter(regex="flag").equals(expected_df) # Cleanup - none necessary @pytest.mark.timeseries def test_flag_jumps_strict_with_both_cols_in_at_least_one_args( timeseries_dataframe ): """ Test provided strict behaves as expected (col4 not provided in any input arg dict thus not flagged) When left unspecified, a column will be flagged based on defaults (`scale=percentage`, `direction=any`, `threshold=0.0`). """ df = timeseries_dataframe orig_cols = df.columns expected = np.ones((10, 4), dtype=int) expected[0, :] = 0 expected[:, 3] = 0 expected[3, 3] = 1 expected[7, 3] = 1 expected[9, 3] = 1 expected_cols = [f"col{i}_jump_flag" for i in [1, 2, 3, 5]] expected_df = pd.DataFrame(expected, columns=expected_cols, index=df.index) # Exercise df = df.flag_jumps( scale=dict(col1="absolute", col3="absolute"), direction=dict(col2="increasing"), threshold=dict(col5=2), strict=True, ) # Verify assert list(df.columns) == list(orig_cols) + expected_cols assert df.filter(regex="flag").equals(expected_df) # Cleanup - none necessary @pytest.mark.timeseries def test_flag_jumps_for_one_column(timeseries_dataframe): """ Test provided strict behaves as expected for a single column. """ df = timeseries_dataframe orig_cols = df.columns expected = [0, 1, 1, 1, 1, 1, 1, 1, 1, 1] # Exercise df = df.flag_jumps(scale=dict(col1="absolute"), strict=True) # Verify assert list(df.columns) == list(orig_cols) + ["col1_jump_flag"] np.testing.assert_array_equal(df["col1_jump_flag"].array, expected) # Cleanup - none necessary @pytest.mark.timeseries def test_flag_jumps_on_issue_provided_use_case(): """ Test example provided in issue is solved with `flag_jumps()` See issue # 711 """ # Setup df = pd.DataFrame( data=[ ["2015-01-01 00:00:00", -0.76, 2, 2, 1.2], ["2015-01-01 01:00:00", -0.73, 2, 4, 1.1], ["2015-01-01 02:00:00", -0.71, 2, 4, 1.1], ["2015-01-01 03:00:00", -0.68, 2, 32, 1.1], ["2015-01-01 04:00:00", -0.65, 2, 2, 1.0], ["2015-01-01 05:00:00", -0.76, 2, 2, 1.2], ["2015-01-01 06:00:00", -0.73, 2, 4, 1.1], ["2015-01-01 07:00:00", -0.71, 2, 4, 1.1], ["2015-01-01 08:00:00", -0.68, 2, 32, 1.1], ["2015-01-01 09:00:00", -0.65, 2, 2, 1.0], ["2015-01-01 10:00:00", -0.76, 2, 2, 1.2], ["2015-01-01 11:00:00", -0.73, 2, 4, 1.1], ["2015-01-01 12:00:00", -0.71, 2, 4, 1.1], ["2015-01-01 13:00:00", -0.68, 2, 32, 1.1], ["2015-01-01 14:00:00", -0.65, 2, 2, 1.0], ["2015-01-01 15:00:00", -0.76, 2, 2, 1.2], ["2015-01-01 16:00:00", -0.73, 2, 4, 1.1], ["2015-01-01 17:00:00", -0.71, 2, 4, 1.1], ["2015-01-01 18:00:00", -0.68, 2, 32, 1.1], ["2015-01-01 19:00:00", -0.65, 2, 2, 1.0], ["2015-01-01 20:00:00", -0.76, 2, 2, 1.2], ["2015-01-01 21:00:00", -0.73, 2, 4, 1.1], ["2015-01-01 22:00:00", -0.71, 2, 4, 1.1], ["2015-01-01 23:00:00", -0.68, 2, 32, 1.1], ["2015-01-02 00:00:00", -0.65, 2, 2, 1.0], ], columns=["DateTime", "column1", "column2", "column3", "column4"], ) df["DateTime"] = pd.to_datetime(df["DateTime"]) df = df.set_index("DateTime") orig_cols = df.columns expected = np.zeros((25, 4), dtype=int) expected[3, 2] = 1 expected[8, 2] = 1 expected[13, 2] = 1 expected[18, 2] = 1 expected[23, 2] = 1 expected_cols = [f"{c}_jump_flag" for c in orig_cols] expected_df = pd.DataFrame(expected, columns=expected_cols, index=df.index) # Exercise result = df.flag_jumps( scale="absolute", direction="increasing", threshold=2 ) # Verify assert list(result.columns) == list(orig_cols) + expected_cols assert result.filter(regex="flag").equals(expected_df) # Cleanup - none necessary

29.823529

79

0.621568

2,602

18,759

4.320907

0.090315

0.021525

0.022948

0.023837

0.817309

0.805212

0.774704

0.762341

0.731122

0.67731

0

0.074561

0.237859

18,759

628

80

29.871019

0.711828

0.191748

0

0.484932

0

0.132518

0

0.082192

1

0.054795

false

0

0.016438

0

0.073973

0

null

0

1

0

null

0

6

89dbc3b9c982f546320379158b45c6b6b393f3c0

102

py

Python

pydmps/__init__.py

phranq0/ros_dmp

75317a79c74e3da33c27d660a7ab1489edbfa7a6

[ "Apache-2.0" ]

12

2019-03-01T08:09:05.000Z

2020-06-13T12:55:25.000Z

pydmps/__init__.py

phranq0/ros_dmp

75317a79c74e3da33c27d660a7ab1489edbfa7a6

[ "Apache-2.0" ]

null

pydmps/__init__.py

phranq0/ros_dmp

75317a79c74e3da33c27d660a7ab1489edbfa7a6

[ "Apache-2.0" ]

4

2019-02-22T14:34:57.000Z

2020-02-06T11:37:10.000Z

from .dmp import DMPs from .dmp_discrete import DMPs_discrete from .dmp_rhythmic import DMPs_rhythmic

25.5

39

0.852941

16

102

5.1875

0.375

0.253012

0

0.117647

102

3

40

34

0.922222

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

89f3e19022e3d2f610e85977bbdb1fd48eceaf5d

280

py

Python

hokuto_flask/hokuto_flask/blueprints/page/views.py

jackdbd/hokuto-no-ken-api

5b092b7ecef3ad0f49215509a63cbb9c11cd5285

[ "MIT" ]

null

hokuto_flask/hokuto_flask/blueprints/page/views.py

jackdbd/hokuto-no-ken-api

5b092b7ecef3ad0f49215509a63cbb9c11cd5285

[ "MIT" ]

37

2018-09-08T22:14:58.000Z

2022-03-02T14:58:56.000Z

hokuto_flask/hokuto_flask/blueprints/page/views.py

jackdbd/hokuto-no-ken-api

5b092b7ecef3ad0f49215509a63cbb9c11cd5285

[ "MIT" ]

null

from flask import Blueprint, render_template bp = Blueprint(name="page", import_name=__name__, template_folder="templates") @bp.route("/") def home(): return render_template("page/home.html") @bp.route("/about") def about(): return render_template("page/about.html")

20

78

0.721429

37

280

5.216216

0.459459

0.217617

0.207254

0.248705

0

0.117857

280

13

79

21.538462

0.781377

0

0.175

0

1

0.25

false

0

0.25

0.75

0.25

0

null

1

0

null

0

1

0

1

0

6

d601e276d4e1c6eb6888dd2efd8ea837585d94be

35

py

Python

src/mgenomicsremotemail/dispatch/__init__.py

MarcoMernberger/mgenomicsremotemail

e3297861c288e8f5126383c335d16ff6c87e29c7

[ "MIT" ]

1

2022-03-04T11:55:04.000Z

src/mgenomicsremotemail/dispatch/__init__.py

MarcoMernberger/mgenomicsremotemail

e3297861c288e8f5126383c335d16ff6c87e29c7

[ "MIT" ]

null

src/mgenomicsremotemail/dispatch/__init__.py

MarcoMernberger/mgenomicsremotemail

e3297861c288e8f5126383c335d16ff6c87e29c7

[ "MIT" ]

null

from .dispatch import RunDispatcher

35

0.885714

4

35

7.75

1

0

0.085714

35

1

35

0.96875

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

d60b1ec0ee356dbeb9ea607c8c684386807b16ca

8,693

py

Python

cumulusci/tasks/salesforce/tests/test_enable_prediction.py

davisagli/CumulusCI

fd74c324ad3ff662484b159395c639879011e711

[ "BSD-3-Clause" ]

null

cumulusci/tasks/salesforce/tests/test_enable_prediction.py

davisagli/CumulusCI

fd74c324ad3ff662484b159395c639879011e711

[ "BSD-3-Clause" ]

null

cumulusci/tasks/salesforce/tests/test_enable_prediction.py

davisagli/CumulusCI

fd74c324ad3ff662484b159395c639879011e711

[ "BSD-3-Clause" ]

null

import pytest import responses from cumulusci.core.config.org_config import OrgConfig from cumulusci.core.exceptions import CumulusCIException from cumulusci.tasks.salesforce.enable_prediction import EnablePrediction from cumulusci.tests.util import DummyKeychain from .util import create_task @pytest.fixture def task(): return create_task( EnablePrediction, {"api_names": ["test_prediction_v0", "test_prediction_2_v0"]}, org_config=OrgConfig( {"instance_url": "https://test-dev-ed.my.salesforce.com"}, "test", keychain=DummyKeychain(), ), ) @pytest.fixture def mock_oauth(): with responses.RequestsMock() as rsps: rsps.add( "POST", "https://test-dev-ed.my.salesforce.com/services/oauth2/token", json={ "access_token": "TOKEN", "instance_url": "https://test-dev-ed.my.salesforce.com", }, ) rsps.add( "GET", url="https://test-dev-ed.my.salesforce.com/services/oauth2/userinfo", json={}, status=200, ) rsps.add( "GET", url="https://test-dev-ed.my.salesforce.com/services/data", json=[ { "label": "Summer '21", "url": "/services/data/v52.0", "version": "52.0", } ], status=200, ) rsps.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/sobjects/Organization/", json={ "OrganizationType": "Developer", "IsSandbox": False, "InstanceName": "NA149", "NamespacePrefix": None, }, ) yield rsps def test_run_task(mock_oauth, task): mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/query/?q=SELECT+Id+FROM+MLPredictionDefinition+WHERE+DeveloperName+%3D+%27test_prediction_v0%27", json={"totalSize": 1, "records": [{"Id": "001"}]}, ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/query/?q=SELECT+Id+FROM+MLPredictionDefinition+WHERE+DeveloperName+%3D+%27test_prediction_2_v0%27", json={"totalSize": 1, "records": [{"Id": "002"}]}, ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/001", json={"Metadata": {"status": "Draft"}}, ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/002", json={"Metadata": {"status": "Draft"}}, ) mock_oauth.add( method="PATCH", url="https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/001", match=[responses.json_params_matcher({"Metadata": {"status": "Enabled"}})], ) mock_oauth.add( method="PATCH", url="https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/002", match=[responses.json_params_matcher({"Metadata": {"status": "Enabled"}})], ) task() def test_run_task__not_found_exception(mock_oauth, task): mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/query/?q=SELECT+Id+FROM+MLPredictionDefinition+WHERE+DeveloperName+%3D+%27test_prediction_v0%27", json={"totalSize": 0, "records": []}, ) with pytest.raises(CumulusCIException) as e: task() assert "not found" in str(e) def test_run_task__failed_update_exception(mock_oauth, task): mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/query/?q=SELECT+Id+FROM+MLPredictionDefinition+WHERE+DeveloperName+%3D+%27test_prediction_v0%27", json={"totalSize": 1, "records": [{"Id": "001"}]}, ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/001", json={"Metadata": {"status": "Draft"}}, ) mock_oauth.add( method="PATCH", url="https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/001", status=400, ) with pytest.raises(CumulusCIException): task() def test_run_task__namespaced_org(mock_oauth, task): task.options["namespaced_org"] = True task.options["namespace_inject"] = "foo" task.options["api_names"] = [ "%%%NAMESPACED_ORG%%%test_prediction_v0", "%%%NAMESPACED_ORG%%%test_prediction_2_v0", ] mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/query/?q=SELECT+Id+FROM+MLPredictionDefinition+WHERE+DeveloperName+%3D+%27foo__test_prediction_v0%27", json={"totalSize": 1, "records": [{"Id": "001"}]}, ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/query/?q=SELECT+Id+FROM+MLPredictionDefinition+WHERE+DeveloperName+%3D+%27foo__test_prediction_2_v0%27", json={"totalSize": 1, "records": [{"Id": "002"}]}, ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/001", json={"Metadata": {"status": "Draft"}}, ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/002", json={"Metadata": {"status": "Draft"}}, ) mock_oauth.add( method="PATCH", url="https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/001", match=[responses.json_params_matcher({"Metadata": {"status": "Enabled"}})], ) mock_oauth.add( method="PATCH", url="https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/002", match=[responses.json_params_matcher({"Metadata": {"status": "Enabled"}})], ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/query/?q=SELECT%20SubscriberPackage.Id,%20SubscriberPackage.NamespacePrefix,%20SubscriberPackageVersionId%20FROM%20InstalledSubscriberPackage", json={"totalSize": 0, "records": []}, ) mock_oauth.replace( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/sobjects/Organization/", json={ "OrganizationType": "Developer", "IsSandbox": False, "InstanceName": "NA149", "NamespacePrefix": "foo", }, ) task() def test_run_task__managed_org(mock_oauth, task): task.options["managed"] = True task.options["namespace_inject"] = "foo" task.options["api_names"] = [ "%%%NAMESPACE%%%test_prediction_v0", "%%%NAMESPACE%%%test_prediction_2_v0", ] mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/query/?q=SELECT+Id+FROM+MLPredictionDefinition+WHERE+DeveloperName+%3D+%27foo__test_prediction_v0%27", json={"totalSize": 1, "records": [{"Id": "001"}]}, ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/query/?q=SELECT+Id+FROM+MLPredictionDefinition+WHERE+DeveloperName+%3D+%27foo__test_prediction_2_v0%27", json={"totalSize": 1, "records": [{"Id": "002"}]}, ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/001", json={"Metadata": {"status": "Draft"}}, ) mock_oauth.add( "GET", "https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/002", json={"Metadata": {"status": "Draft"}}, ) mock_oauth.add( method="PATCH", url="https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/001", match=[responses.json_params_matcher({"Metadata": {"status": "Enabled"}})], ) mock_oauth.add( method="PATCH", url="https://test-dev-ed.my.salesforce.com/services/data/v52.0/tooling/sobjects/MLPredictionDefinition/002", match=[responses.json_params_matcher({"Metadata": {"status": "Enabled"}})], ) task()

37.149573

218

0.618314

988

8,693

5.314777

0.123482

0.051419

0.068558

0.079985

0.812417

0.798705

0.788421

0.763855

0

0.035313

0.211665

8,693

233

219

37.309013

0.730921

0

0.581731

0

0.120192

0.504544

0.016795

0

0.004808

1

0.033654

false

0

0.033654

0.004808

0.072115

0

null

0

1

0

null

0

6

d6590ebc0b2a6c5bc8130ea8763d952bf4d10b33

1,749

py

Python

008/solution.py

klen/euler

269d765a2070f08ede45604909f6b5000917ee2f

[ "MIT" ]

1

2015-01-28T09:15:30.000Z

008/solution.py

klen/euler

269d765a2070f08ede45604909f6b5000917ee2f

[ "MIT" ]

null

008/solution.py

klen/euler

269d765a2070f08ede45604909f6b5000917ee2f

[ "MIT" ]

null

""" Project Euler problem #8. """ import operator as op def problem(): """ Solve the problem. Find the greatest product of five consecutive digits in the 1000-digit number. Answer: 40824 """ number = ''.join([ '73167176531330624919225119674426574742355349194934' '96983520312774506326239578318016984801869478851843', '85861560789112949495459501737958331952853208805511', '12540698747158523863050715693290963295227443043557', '66896648950445244523161731856403098711121722383113', '62229893423380308135336276614282806444486645238749', '30358907296290491560440772390713810515859307960866', '70172427121883998797908792274921901699720888093776', '65727333001053367881220235421809751254540594752243', '52584907711670556013604839586446706324415722155397', '53697817977846174064955149290862569321978468622482', '83972241375657056057490261407972968652414535100474', '82166370484403199890008895243450658541227588666881', '16427171479924442928230863465674813919123162824586', '17866458359124566529476545682848912883142607690042', '24219022671055626321111109370544217506941658960408', '07198403850962455444362981230987879927244284909188', '84580156166097919133875499200524063689912560717606', '05886116467109405077541002256983155200055935729725', '71636269561882670428252483600823257530420752963450']) size = 5 chunks = [number[i:i + size] for i in range(0, len(number) - size)] chunks = [map(int, chunk) for chunk in chunks] products = [reduce(op.mul, chunk) for chunk in chunks] return max(products) if __name__ == '__main__': print problem()

38.866667

74

0.753002

90

1,749

14.544444

0.722222

0.012223

0.019862

0.022918

0.032086

0

0.702778

0.176672

1,749

44

75

39.75

0.20625

0

0.638783

0.633714

0

null

0

0.033333

null

0.033333

0

1

null

0

1

0

1

0

1

null

0

1

0

6

c3a042551d80353a4ffb05cc7d2f7391ca572a8c

12,402

py

Python

Avances/valeria&maicol.py

DiegoC386/Proyecto_CajeroEAN

48420b1ea64dd2d3bf695a10b7ab962c4b533cf4

[ "MIT" ]

null

Avances/valeria&maicol.py

DiegoC386/Proyecto_CajeroEAN

48420b1ea64dd2d3bf695a10b7ab962c4b533cf4

[ "MIT" ]

null

Avances/valeria&maicol.py

DiegoC386/Proyecto_CajeroEAN

48420b1ea64dd2d3bf695a10b7ab962c4b533cf4

[ "MIT" ]

null

""" #Entradas Usuario-->input-->U Contraseña-->input-->C Opcion 1-->int-->1 Opcion 2-->int-->2 Opcion 3-->int-->3 Opcion 4-->int-->4 #Salidas Operaciones-->float-->O.realizadas """ from datetime import datetime ahora=datetime.now() print(ahora.strftime('%Y-%m-%d %H:%M:%S')) Cuentas=[] print("......................................:CAJERO.EAN:..................................") print("Por la seguridad del usuario solo es permitido 3 intentos para ingresar a su cuenta 😎") #CAJERO EAN usuario="1818" passw="2027" cont=0 saldo=500000 y=1 conectado=bool; #INVENTARIO BILLETES Y MONEDAS monedas50=20 monedas100=20 monedas200=20 monedas500=20 monedas1000=20 billetes1000=20 billetes2000=20 billetes5000=20 billetes10000=20 billetes20000=20 billetes50000=10 billetes100000=5 caja=1795000 while cont<3: us=input("Ingrese usuario 🙍 : "); co=input("Ingrese contraseña 🔑 : "); if us==usuario and passw==co: print("......................................:CAJERO.EAN:..................................") print ("Bienvenido al sistema 💰 ") print ("Escoja el soporte a solicitar:") print("1. BANCO EAN 💰 ") print("2. PARQUEADERO EAN 🚗") print("3. RESTAURANTE EAN 🍽️") print("......................................:CAJERO.EAN:..................................") soporte=int(input("Digite una opcion de MENU: ")) conectado=True break else: cont=cont+1; print ("Usuario y contraseña incorrecta ❌") conectado=False while conectado: if (soporte==1): print("......................................:CAJERO.EAN:..................................") print("\t.:MENU BANCO:.") print("") print("1. Consultar saldo🔍") print("2. Retirar dinero 💵") print("3. Transferir 💸") print("4. SALIR 🔚") print("......................................:CAJERO.EAN:..................................") Opcion=int(input("Digite una opcion de MENU: ")) print("") if(Opcion==1): print ("Su saldo es:", saldo) print("") elif(Opcion==2): Retiro=int(input("Digite la cantidad que desea retirar: ")) print(f"Operacion realizada, su saldo actual es: {saldo-Retiro}") saldo=saldo-Retiro if Retiro>saldo: print("No tiene saldo disponible 🙁") print("......................................:CAJERO.EAN:..................................") print("") elif(Opcion==3): cu2=input("Ingrese cuenta a Depositar: ") Cuentas.append(cu2) monto=int(input("Ingrese monto a Transferir: ")) saldo=saldo-monto saldo2=saldo print ("Se han transferido", monto,"pesos a la cuenta",cu2, "✔") print ("El nuevo saldo es:",saldo) print("") elif(Opcion==4): print("Gracias por usar el Cajero EAN 🙌") print("......................................:CAJERO.EAN:..................................") print("") break else: print("ERROR, Opcion no valida para el cajero EAN 🛑 ❌") break elif (soporte==2): print("\t.:MENU PARQUEADERO 🚗:.") print("") print("1. Consultar dinero caja 💵") print("2. Retirar vueltas 🎫") print("3. SALIR 🔚") print("......................................:CAJERO.EAN:..................................") Opcion=int(input("Digite una opcion de MENU: ")) print("") if (Opcion==1): print("Monto total en la caja ") print(caja) elif(Opcion==2): print("Ingrese billetes/monedas a tomar: \n") print("1. monedas de 50 \n2. monedas de 100 \n3. monedas de 200 \n4. monedas de 500 \n5. monedas de 1000 \n6. billetes de 1000 \n7. billetes de 2000 \n8. billetes de 5000 \n9. billetes de 10000 \n10. billetes de 20000 \n11. billetes de 50000 \n") totalvueltas=0 while y==1: VueltasCaja = int(input("INGRESE NUMERO 1 A 11 \n")) if (VueltasCaja==1): x = int(input("cantidad de monedas a tomar? \n")) if (x<=monedas50): totalvueltas =(totalvueltas+(50*x)) monedas50=monedas50-x else: print("cantidad en la caja insuficiente") elif(VueltasCaja==2): x = int(input("cantidad de monedas a tomar? \n")) if (x<=monedas100): totalvueltas =(totalvueltas+(100*x)) monedas100=monedas100-x else: print("cantidad en la caja insuficiente") elif (VueltasCaja==3): x = int(input("cantidad de monedas a tomar? \n")) if (x<=monedas200): totalvueltas =(totalvueltas+(200*x)) monedas200=monedas200-x else: print("cantidad en la caja insuficiente") elif (VueltasCaja==4): x = int(input("cantidad de monedas a tomar?\n")) if (x<=monedas500): totalvueltas =(totalvueltas+(500*x)) monedas500=monedas500-x else: print("cantidad en la caja insuficiente") elif (VueltasCaja==5): x = int(input("cantidad de monedas a tomar? \n")) if (x<=monedas1000): totalvueltas =(totalvueltas+(1000*x)) monedas1000=monedas1000-x else: print("cantidad en la caja insuficiente") elif (VueltasCaja==6): x = int(input("cantidad de billetes a tomar? \n")) if (x<=billetes1000): totalvueltas =(totalvueltas+(1000*x)) billetes1000=billetes1000-x else: print("cantidad en la caja insuficiente") elif (VueltasCaja==7): x = int(input("cantidad de billetes a tomar? \n")) if (x<=billetes2000): totalvueltas =(totalvueltas+(2000*x)) billetes2000=billetes2000-x elif (VueltasCaja==8): x = int(input("cantidad de billetes a tomar? \n")) if (x<billetes5000): totalvueltas =(totalvueltas+(5000*x)) billetes5000=billetes5000-x elif (VueltasCaja==9): x = int(input("cantidad de billetes a tomar? \n")) if (x<=billetes10000): totalvueltas =(totalvueltas+(10000*x)) billetes10000=billetes10000-x elif (VueltasCaja==10): x = int(input("cantidad de billetes a tomar? \n")) totalvueltas =(totalvueltas+(20000*x)) if (x<=billetes20000): totalvueltas =(totalvueltas+(20000*x)) billetes20000=billetes20000-x elif (VueltasCaja==11): x = int(input("cantidad de billetes a tomar? \n")) if (x<=billetes50000): totalvueltas =(totalvueltas+(50000*x)) billetes50000=billetes50000-x print ("desea retirar mas cambio?") y = int(input("1) Si \n2) No \n")) print("cambio retirado:") print(totalvueltas) print("Nuevo saldo caja") print(caja-totalvueltas) caja=caja-totalvueltas y=1 elif(Opcion==3): print("Gracias por usar el Cajero EAN 🙌") print("......................................:CAJERO.EAN:..................................") print("") break elif (soporte==3): print("\t.:MENU RESTAURANTE 🍽️:.") print("") print("1. Consultar dinero caja 💵") print("2. Retirar vueltas 🎫") print("3. SALIR 🔚") print("......................................:CAJERO.EAN:..................................") Opcion=int(input("Digite una opcion de MENU: ")) print("") if (Opcion==1): print("Monto total en la caja ") print(caja) elif(Opcion==2): print("Ingrese billetes/monedas a tomar: \n") print("1. monedas de 50 \n2. monedas de 100 \n3. monedas de 200 \n4. monedas de 500 \n5. monedas de 1000 \n6. billetes de 1000 \n7. billetes de 2000 \n8. billetes de 5000 \n9. billetes de 10000 \n10. billetes de 20000 \n11. billetes de 50000 \n") totalvueltas=0 while y==1: VueltasCaja = int(input("INGRESE NUMERO 1 A 11 \n")) if (VueltasCaja==1): x = int(input("cantidad de monedas a tomar? \n")) if (x<=monedas50): totalvueltas =(totalvueltas+(50*x)) monedas50=monedas50-x else: print("cantidad en la caja insuficiente") elif(VueltasCaja==2): x = int(input("cantidad de monedas a tomar? \n")) if (x<=monedas100): totalvueltas =(totalvueltas+(100*x)) monedas100=monedas100-x else: print("cantidad en la caja insuficiente") elif (VueltasCaja==3): x = int(input("cantidad de monedas a tomar? \n")) if (x<=monedas200): totalvueltas =(totalvueltas+(200*x)) monedas200=monedas200-x else: print("cantidad en la caja insuficiente") elif (VueltasCaja==4): x = int(input("cantidad de monedas a tomar?\n")) if (x<=monedas500): totalvueltas =(totalvueltas+(500*x)) monedas500=monedas500-x else: print("cantidad en la caja insuficiente") elif (VueltasCaja==5): x = int(input("cantidad de monedas a tomar? \n")) if (x<=monedas1000): totalvueltas =(totalvueltas+(1000*x)) monedas1000=monedas1000-x else: print("cantidad en la caja insuficiente") elif (VueltasCaja==6): x = int(input("cantidad de billetes a tomar? \n")) if (x<=billetes1000): totalvueltas =(totalvueltas+(1000*x)) billetes1000=billetes1000-x else: print("cantidad en la caja insuficiente") elif (VueltasCaja==7): x = int(input("cantidad de billetes a tomar? \n")) if (x<=billetes2000): totalvueltas =(totalvueltas+(2000*x)) billetes2000=billetes2000-x elif (VueltasCaja==8): x = int(input("cantidad de billetes a tomar? \n")) if (x<=billetes5000): totalvueltas =(totalvueltas+(5000*x)) billetes5000=billetes5000-x elif (VueltasCaja==9): x = int(input("cantidad de billetes a tomar? \n")) if (x<=billetes10000): totalvueltas =(totalvueltas+(10000*x)) billetes10000=billetes10000-x elif (VueltasCaja==10): x = int(input("cantidad de billetes a tomar? \n")) totalvueltas =(totalvueltas+(20000*x)) if (x<=billetes20000): totalvueltas =(totalvueltas+(20000*x)) billetes20000=billetes20000-x elif (VueltasCaja==11): x = int(input("cantidad de billetes a tomar? \n")) if (x<=billetes50000): totalvueltas =(totalvueltas+(50000*x)) billetes50000=billetes50000-x print ("desea retirar mas cambio?") y = int(input("1) Si \n2) No \n")) print("cambio retirado:") print(totalvueltas) print("Nuevo saldo caja") print(caja-totalvueltas) caja=caja-totalvueltas y=1 elif(Opcion==3): print("Gracias por usar el Cajero EAN 🙌") print("......................................:CAJERO.EAN:..................................") print("") break else: print("ERROR, Opcion no valida para el cajero EAN 🛑 ❌") break

41.757576

256

0.485244

1,259

12,402

4.804607

0.147736

0.042321

0.027773

0.061828

0.771367

0.76244

0.757646

0

0.076718

0.334704

12,402

297

257

41.757576

0.652648

0.017094

0

0.774648

0

0.007042

0.316861

0.07585

0

1

0

false

0.007042

0.003521

0

0.003521

0.295775

0

null

0

1

0

1

0

null

0

6

c3b40094cdbb7d7b912972302831457b5b8b2b44

264

py

Python

jsonprclibveles/__init__.py

Borbaris161/jsonrpclibveles

489f2069a0924315a632c0af58f5082e3e30fdd2

[ "Apache-2.0" ]

null

jsonprclibveles/__init__.py

Borbaris161/jsonrpclibveles

489f2069a0924315a632c0af58f5082e3e30fdd2

[ "Apache-2.0" ]

null

jsonprclibveles/__init__.py

Borbaris161/jsonrpclibveles

489f2069a0924315a632c0af58f5082e3e30fdd2

[ "Apache-2.0" ]

1

2019-06-28T12:32:43.000Z

from jsonprclibveles.config import Config config = Config.instance() from jsonprclibveles.history import History logs = History.instance() from jsonprclibveles.jsonrpc import Server, MultiCall, Fault from jsonprclibveles.jsonrpc import ProtocolError, loads, dumps

37.714286

63

0.840909

30

264

7.4

0.466667

0.342342

0.243243

0.288288

0

0.098485

264

6

64

44

0.932773

0

1

0

false

0

0.666667

0

0.666667

0

null

1

0

1

0

null

0

1

0

1

0

6

7f1096b5c57ad9d7d884893baa97f9505eeecfb6

107

py

Python

Utils/py/naoth/naoth/log/__init__.py

BerlinUnited/NaoTH

02848ac10c16a5349f1735da8122a64d601a5c75

[ "ECL-2.0", "Apache-2.0" ]

15

2015-01-12T10:46:29.000Z

2022-03-28T05:13:14.000Z

Utils/py/naoth/naoth/log/__init__.py

BerlinUnited/NaoTH

02848ac10c16a5349f1735da8122a64d601a5c75

[ "ECL-2.0", "Apache-2.0" ]

2

2019-01-20T21:07:50.000Z

2020-01-22T14:00:28.000Z

Utils/py/naoth/naoth/log/__init__.py

BerlinUnited/NaoTH

02848ac10c16a5349f1735da8122a64d601a5c75

[ "ECL-2.0", "Apache-2.0" ]

5

2018-02-07T18:18:10.000Z

2019-10-15T17:01:41.000Z

from ._experimental_reader import * from ._experimental_parser import * from ._experimental_xabsl import *

26.75

35

0.831776

12

107

6.916667

0.5

0.578313

0.53012

0

0.11215

107

3

36

35.666667

0.873684

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

7f1a8bfe5a3ecec7a4af5d80f731b5b876999cc1

96

py

Python

venv/lib/python3.8/site-packages/libpasteurize/fixes/fix_add_all__future__imports.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/libpasteurize/fixes/fix_add_all__future__imports.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/libpasteurize/fixes/fix_add_all__future__imports.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/98/77/ad/d4b81b1e7f467e009818d6572a8fabb1e0d6ade02f51c0236707607931

96

0.895833

9

96

9.555556

1

0

0.447917

0

96

1

96

0.447917

0

1

0

null

0

null

0

1

0

null

0

1

0

1

0

1

0

null

1

0

1

0

6

6147aa931783def027236f243de14ef1bbc5a65e

37

py

Python

dlutils/preprocessing/__init__.py

fmi-basel/dl-utils

15bbb7672314d72abc7c3f7fc86655401cde5eb6

[ "MIT" ]

26

2018-11-30T09:17:17.000Z

2020-11-07T01:53:07.000Z

idunn/instant_answer/__init__.py

QwantResearch/idunn

88b6862f1036187855b5541bbb6758ddd4df33c1

[ "Apache-2.0" ]

38

2018-06-08T09:41:04.000Z

2020-12-07T17:39:12.000Z

idunn/instant_answer/__init__.py

Qwant/idunn

65582dfed732093778bf7c2998db1e2cd78255b8

[ "Apache-2.0" ]

9

2018-05-18T13:07:00.000Z

2020-08-01T16:42:40.000Z

from .normalization import normalize

18.5

36

0.864865

4

37

8

1

0

0.108108

37

1

37

0.969697

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

614dca950e738511efd67bd07c116810f11eac32

1,973

py

Python

tests/espressodb_tests/espressodb_tests/customizations/migrations/0001_initial.py

callat-qcd/espressodb

70f88f33ba49f754ba240242c0653379ff269619

[ "BSD-3-Clause" ]

8

2019-12-10T04:30:01.000Z

2020-10-30T09:40:22.000Z

tests/espressodb_tests/espressodb_tests/customizations/migrations/0001_initial.py

callat-qcd/espressodb

70f88f33ba49f754ba240242c0653379ff269619

[ "BSD-3-Clause" ]

41

2019-10-23T00:26:25.000Z

2021-10-21T07:55:57.000Z

tests/espressodb_tests/espressodb_tests/customizations/migrations/0001_initial.py

callat-qcd/espressodb

70f88f33ba49f754ba240242c0653379ff269619

[ "BSD-3-Clause" ]

3

2020-01-09T21:29:09.000Z

2021-03-14T22:20:52.000Z

# Generated by Django 3.0.5 on 2020-04-17 11:33 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='CB', fields=[ ('id', models.AutoField(help_text='Primary key for Base class.', primary_key=True, serialize=False)), ('last_modified', models.DateTimeField(auto_now=True, help_text='Date the class was last modified')), ('tag', models.CharField(blank=True, help_text='User defined tag for easy searches', max_length=200, null=True)), ('value', models.IntegerField(null=True)), ('user', models.ForeignKey(blank=True, help_text='User who updated this object. Set on save by connection to database. Anonymous if not found.', null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='CA', fields=[ ('id', models.AutoField(help_text='Primary key for Base class.', primary_key=True, serialize=False)), ('last_modified', models.DateTimeField(auto_now=True, help_text='Date the class was last modified')), ('tag', models.CharField(blank=True, help_text='User defined tag for easy searches', max_length=200, null=True)), ('user', models.ForeignKey(blank=True, help_text='User who updated this object. Set on save by connection to database. Anonymous if not found.', null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], options={ 'abstract': False, }, ), ]

45.883721

247

0.62443

234

1,973

5.15812

0.358974

0.053024

0.059652

0.056338

0.737365

0

0.014344

0.257983

1,973

42

248

46.97619

0.810109

0.022808

0

0.571429

1

0

0.227934

0

1

0

false

0

0.085714

0

0.2

0

null

0

1

0

1

0

null

0

6

61825a222d6e0ff5f779575f9563937a7dc74497

32

py

Python

src/perfprof/__init__.py

dmsteck/perfprof.py

bb813b234f39139e34e06d774fd866a6a189e0ad

[ "MIT" ]

1

2021-07-09T11:40:36.000Z

src/perfprof/__init__.py

dmsteck/perfprof.py

bb813b234f39139e34e06d774fd866a6a189e0ad

[ "MIT" ]

null

src/perfprof/__init__.py

dmsteck/perfprof.py

bb813b234f39139e34e06d774fd866a6a189e0ad

[ "MIT" ]

3

2021-09-12T16:23:25.000Z

2022-03-18T22:35:54.000Z

from .perfprof import perfprof

16

31

0.8125

4

32

6.5

0.75

0

0.15625

32

1

32

0.962963

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

6185697a874dd9873ab43e9531adcc5499bed5b7

38,719

py

Python

pyfos/utils/extension/lan_flow_statistics_show.py

brocade/pyfos

33565cfc1401f5dc54a9a9fb70913c9a670cb322

[ "Apache-2.0" ]

44

2017-11-17T12:03:11.000Z

2022-02-03T20:57:56.000Z

pyfos/utils/extension/lan_flow_statistics_show.py

brocade/pyfos

33565cfc1401f5dc54a9a9fb70913c9a670cb322

[ "Apache-2.0" ]

13

2018-10-09T15:34:15.000Z

2022-02-24T20:03:17.000Z

pyfos/utils/extension/lan_flow_statistics_show.py

brocade/pyfos

33565cfc1401f5dc54a9a9fb70913c9a670cb322

[ "Apache-2.0" ]

23

2017-12-14T18:08:33.000Z

2022-02-03T15:33:40.000Z

#!/usr/bin/env python3 # Copyright © 2019-2020 Broadcom. All rights reserved. # The term “Broadcom” refers to Broadcom Inc. and/or its subsidiaries. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may also obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # lan_flow_statistics_show.py(pyGen v1.0.0) """ :mod:`lan_flow_statistics_show` - PyFOS util to show for\ lan_flow_statistics ******************************************************************************\ ******************************************************************************* The:mod:`lan_flow_statistics_show` PyFOS util to show for lan_flow_statistics The LAN per-flow statistics. lan_flow_statistics_show: usage * Infrastructure Options: * -i,--ipaddr=IPADDR: The IP address of the FOS switch. * -L,--login=LOGIN: The login name. * -P,--password=PASSWORD: The password. * -f,--vfid=VFID: The VFID to which the request is directed. * -s,--secured=MODE: The HTTPS mode "self" or "CA" [Optional]. * -v,--verbose: Verbose mode [Optional]. * -a,--authtoken: AuthToken value or AuthTokenManager config\ file[OPTIONAL]. * -z,--nosession: Sessionless authentication based login[OPTIONAL]. * --nocredential: No credential to be sent in the request[OPTIONAL]. * Util Script Options: * --out-bytes-wan-compression=OUT-BYTES-WAN-COMPRESSION: Total bytes sent\ compression engine on WAN. * --in-packets-lan-session-manager=IN-PACKETS-LAN-SESSION-MANAGER: Total\ packets received by LAN session manager. * --vlan-priority=VLAN-PRIORITY: Specifies the VLAN priority associated\ with the flow. * --traffic-control-list-name=TRAFFIC-CONTROL-LIST-NAME: The\ traffic-control-list name matching the flow filter to allow the\ traffic. * --out-bytes-lan-session-manager=OUT-BYTES-LAN-SESSION-MANAGER: Total\ bytes sent by LAN session manager. * --tcp-retransmits=TCP-RETRANSMITS: TCP retransmits /lost packets. * --zero-window-count=ZERO-WINDOW-COUNT: The count of TCP zero window\ encountered. * --active-flow=ACTIVE-FLOW: Indicates that LAN flow is currently active. \ true: The flow is active. false: The flow is not active. * --in-drops-lan-session-manager=IN-DROPS-LAN-SESSION-MANAGER: The number\ of drops at the ingress from LAN session manager. * --destination-port=DESTINATION-PORT: Remote destination port number of\ the LAN flow. * --in-bytes-average=IN-BYTES-AVERAGE: The throughput in bps for packets\ received via an extension tunnel over WAN per 30s average. * --destination-ip-address=DESTINATION-IP-ADDRESS: Destination IP address\ corresponding to the LAN flow. * --in-bytes-lan-session-manager=IN-BYTES-LAN-SESSION-MANAGER: Total bytes\ received by LAN session manager. * --in-bytes-lan-compression=IN-BYTES-LAN-COMPRESSION: Total bytes\ received by compression engine from LAN. * --out-tcp-packets=OUT-TCP-PACKETS: Total TCP packets sent. * --duplicate-acknowledgement=DUPLICATE-ACKNOWLEDGEMENT: TCP duplicate ACK\ received. * --source-port=SOURCE-PORT: Source port number of the LAN flow. * --dp-id=DP-ID: Extension Data Path Processor ID associated with flow.\ Based on platform either it will have a single DP or dual DP. In case\ of single DP only DP0 is supported, and in case of dual DP both DP0\ and DP1 are supported 0 : DP0 1 : DP1. * --in-bytes-wan-compression=IN-BYTES-WAN-COMPRESSION: Total bytes\ received by compression engine from WAN. * --in-tcp-bytes=IN-TCP-BYTES: Total bytes received. * --vlan-id=VLAN-ID: Specifies the VLAN ID associated with the flow. When\ not set, this value will show up as 0. * --out-packets-lan-session-manager=OUT-PACKETS-LAN-SESSION-MANAGER: Total\ packets sent by LAN session manager. * --zero-window-maximum-duration=ZERO-WINDOW-MAXIMUM-DURATION: The maximum\ of zero window duration encountered. * --source-ip-address=SOURCE-IP-ADDRESS: Source IP address corresponding\ to the LAN flow. * --fast-retransmits=FAST-RETRANSMITS: TCP fast retransmits count. * --rtt=RTT: round trip time. * --ve-port=VE-PORT: The VE port of the extension-tunnel interface. * --hcl-flow=HCL-FLOW: Indicates that LAN flow is in HCL. true: The flow\ is in HCL. false: The flow is not in HCL. * --dscp=DSCP: DSCP value for the LAN flow. * --slot=SLOT: In case of non-chassis system, the slot number is always 0.\ In case of chassis system, it is the slot number of chassis in which\ the extension blade is inserted in. In case of chassis, slot number is\ non-zero value. * --crc-errors=CRC-ERRORS: Number of CRC errors encountered. * --lan-interface=LAN-INTERFACE: The interface corresponding to the\ traffic. This could be either a GE port or a LAG name associated with\ the LAN flow. * --local-host-mss=LOCAL-HOST-MSS: The local-host-mss is the MSS of the\ TCP connection at the LAN ingress side connected host. * --start-time=START-TIME: Indicates the LAN flow start time. * --out-tcp-bytes=OUT-TCP-BYTES: Total bytes sent. * --out-bytes-average=OUT-BYTES-AVERAGE: The throughput in bps for packets\ sent over the extension tunnel on WAN per 30s average. * --slow-retransmits=SLOW-RETRANSMITS: TCP slow retransmits count. * --out-drops-lan-session-manager=OUT-DROPS-LAN-SESSION-MANAGER: The\ number of drops at the egress from LAN session manager. * --out-bytes-lan-compression=OUT-BYTES-LAN-COMPRESSION: Total bytes sent\ by compression engine on LAN. * --flow-index=FLOW-INDEX: flow index associated with the LAN flow. This\ is a dynamic index associated with the LAN flow. Depending on the LAN\ flow behavior the index may change and also can get reused after some\ time but at any given time they will be unique. * --qos=QOS: The IP priority QOS associated with the flow. * --in-tcp-packets=IN-TCP-PACKETS: Total TCP packets received. * --tcp-out-of-order-packets=TCP-OUT-OF-ORDER-PACKETS: TCP total out of\ order packets. * --end-time=END-TIME: Indicates the LAN flow end time. * --remote-host-mss=REMOTE-HOST-MSS: The remote-host-mss is the MSS of the\ TCP connection at peer extension tunnel endpoint connected host to its\ the LAN ingress side. * --protocol=PROTOCOL: Describes that the Layer 4 protocol of the flow. * Output: * Python dictionary content with RESTCONF response data. .. function:: lan_flow_statistics_show.show_lan_flow_statistics(session,\ out_bytes_wan_compression, in_packets_lan_session_manager, vlan_priority,\ traffic_control_list_name, out_bytes_lan_session_manager, tcp_retransmits,\ zero_window_count, active_flow, in_drops_lan_session_manager,\ destination_port, in_bytes_average, destination_ip_address,\ in_bytes_lan_session_manager, in_bytes_lan_compression, out_tcp_packets,\ duplicate_acknowledgement, source_port, dp_id, in_bytes_wan_compression,\ in_tcp_bytes, vlan_id, out_packets_lan_session_manager,\ zero_window_maximum_duration, source_ip_address, fast_retransmits, rtt,\ mapped_tunnel_ve_port, hcl_flow, dscp, slot, crc_errors, lan_interface,\ local_host_mss, start_time, out_tcp_bytes, out_bytes_average,\ slow_retransmits, out_drops_lan_session_manager, out_bytes_lan_compression,\ flow_index, mapped_tunnel_qos, in_tcp_packets, tcp_out_of_order_packets,\ end_time, remote_host_mss, protocol) *Show lan_flow_statistics* Example Usage of the Method:: ret = lan_flow_statistics_show.show_lan_flow_statistics(session,\ out_bytes_wan_compression, in_packets_lan_session_manager, vlan_priority,\ traffic_control_list_name, out_bytes_lan_session_manager, tcp_retransmits,\ zero_window_count, active_flow, in_drops_lan_session_manager,\ destination_port, in_bytes_average, destination_ip_address,\ in_bytes_lan_session_manager, in_bytes_lan_compression, out_tcp_packets,\ duplicate_acknowledgement, source_port, dp_id, in_bytes_wan_compression,\ in_tcp_bytes, vlan_id, out_packets_lan_session_manager,\ zero_window_maximum_duration, source_ip_address, fast_retransmits, rtt,\ mapped_tunnel_ve_port, hcl_flow, dscp, slot, crc_errors, lan_interface,\ local_host_mss, start_time, out_tcp_bytes, out_bytes_average,\ slow_retransmits, out_drops_lan_session_manager, out_bytes_lan_compression,\ flow_index, mapped_tunnel_qos, in_tcp_packets, tcp_out_of_order_packets,\ end_time, remote_host_mss, protocol) print(ret) Details:: lan_flow_statisticsObj = lan_flow_statistics() \ lan_flow_statisticsObj.set_out_bytes_wan_compression(\ out_bytes_wan_compression) \ lan_flow_statisticsObj.set_in_packets_lan_session_manager(\ in_packets_lan_session_manager) lan_flow_statisticsObj.set_vlan_priority(vlan_priority) \ lan_flow_statisticsObj.set_traffic_control_list_name(\ traffic_control_list_name) \ lan_flow_statisticsObj.set_out_bytes_lan_session_manager(\ out_bytes_lan_session_manager) lan_flow_statisticsObj.set_tcp_retransmits(tcp_retransmits) lan_flow_statisticsObj.set_zero_window_count(zero_window_count) lan_flow_statisticsObj.set_active_flow(active_flow) \ lan_flow_statisticsObj.set_in_drops_lan_session_manager(\ in_drops_lan_session_manager) lan_flow_statisticsObj.set_destination_port(destination_port) lan_flow_statisticsObj.set_in_bytes_average(in_bytes_average) \ lan_flow_statisticsObj.set_destination_ip_address(destination_ip_address) \ lan_flow_statisticsObj.set_in_bytes_lan_session_manager(\ in_bytes_lan_session_manager) \ lan_flow_statisticsObj.set_in_bytes_lan_compression(\ in_bytes_lan_compression) lan_flow_statisticsObj.set_out_tcp_packets(out_tcp_packets) \ lan_flow_statisticsObj.set_duplicate_acknowledgement(\ duplicate_acknowledgement) lan_flow_statisticsObj.set_source_port(source_port) lan_flow_statisticsObj.set_dp_id(dp_id) \ lan_flow_statisticsObj.set_in_bytes_wan_compression(\ in_bytes_wan_compression) lan_flow_statisticsObj.set_in_tcp_bytes(in_tcp_bytes) lan_flow_statisticsObj.set_vlan_id(vlan_id) \ lan_flow_statisticsObj.set_out_packets_lan_session_manager(\ out_packets_lan_session_manager) \ lan_flow_statisticsObj.set_zero_window_maximum_duration(\ zero_window_maximum_duration) lan_flow_statisticsObj.set_source_ip_address(source_ip_address) lan_flow_statisticsObj.set_fast_retransmits(fast_retransmits) lan_flow_statisticsObj.set_rtt(rtt) \ lan_flow_statisticsObj.set_mapped_tunnel_ve_port(mapped_tunnel_ve_port) lan_flow_statisticsObj.set_hcl_flow(hcl_flow) lan_flow_statisticsObj.set_dscp(dscp) lan_flow_statisticsObj.set_slot(slot) lan_flow_statisticsObj.set_crc_errors(crc_errors) lan_flow_statisticsObj.set_lan_interface(lan_interface) lan_flow_statisticsObj.set_local_host_mss(local_host_mss) lan_flow_statisticsObj.set_start_time(start_time) lan_flow_statisticsObj.set_out_tcp_bytes(out_tcp_bytes) lan_flow_statisticsObj.set_out_bytes_average(out_bytes_average) lan_flow_statisticsObj.set_slow_retransmits(slow_retransmits) \ lan_flow_statisticsObj.set_out_drops_lan_session_manager(\ out_drops_lan_session_manager) \ lan_flow_statisticsObj.set_out_bytes_lan_compression(\ out_bytes_lan_compression) lan_flow_statisticsObj.set_flow_index(flow_index) lan_flow_statisticsObj.set_mapped_tunnel_qos(mapped_tunnel_qos) lan_flow_statisticsObj.set_in_tcp_packets(in_tcp_packets) \ lan_flow_statisticsObj.set_tcp_out_of_order_packets(\ tcp_out_of_order_packets) lan_flow_statisticsObj.set_end_time(end_time) lan_flow_statisticsObj.set_remote_host_mss(remote_host_mss) lan_flow_statisticsObj.set_protocol(protocol) ret = _show_lan_flow_statistics(session, lan_flow_statisticsObj) print(ret) **Inputs** :param session: The session returned by the login. :param out_bytes_wan_compression: Total bytes sent compression engine on\ WAN. :param in_packets_lan_session_manager: Total packets received by LAN\ session manager. :param vlan_priority: Specifies the VLAN priority associated with the\ flow. :param traffic_control_list_name: The traffic-control-list name matching\ the flow filter to allow the traffic. :param out_bytes_lan_session_manager: Total bytes sent by LAN session\ manager. :param tcp_retransmits: TCP retransmits /lost packets. :param zero_window_count: The count of TCP zero window encountered. :param active_flow: Indicates that LAN flow is currently active. true:\ The flow is active. false: The flow is not active. :param in_drops_lan_session_manager: The number of drops at the ingress\ from LAN session manager. :param destination_port: Remote destination port number of the LAN flow. :param in_bytes_average: The throughput in bps for packets received via an\ extension tunnel over WAN per 30s average. :param destination_ip_address: Destination IP address corresponding to the\ LAN flow. :param in_bytes_lan_session_manager: Total bytes received by LAN session\ manager. :param in_bytes_lan_compression: Total bytes received by compression\ engine from LAN. :param out_tcp_packets: Total TCP packets sent. :param duplicate_acknowledgement: TCP duplicate ACK received. :param source_port: Source port number of the LAN flow. :param dp_id: Extension Data Path Processor ID associated with flow. Based\ on platform either it will have a single DP or dual DP. In case of\ single DP only DP0 is supported, and in case of dual DP both DP0 and\ DP1 are supported 0 : DP0 1 : DP1. :param in_bytes_wan_compression: Total bytes received by compression\ engine from WAN. :param in_tcp_bytes: Total bytes received. :param vlan_id: Specifies the VLAN ID associated with the flow. When not\ set, this value will show up as 0. :param out_packets_lan_session_manager: Total packets sent by LAN session\ manager. :param zero_window_maximum_duration: The maximum of zero window duration\ encountered. :param source_ip_address: Source IP address corresponding to the LAN flow. :param fast_retransmits: TCP fast retransmits count. :param rtt: round trip time. :param mapped_tunnel_ve_port: The VE port of the extension-tunnel\ interface. :param hcl_flow: Indicates that LAN flow is in HCL. true: The flow is in\ HCL. false: The flow is not in HCL. :param dscp: DSCP value for the LAN flow. :param slot: In case of non-chassis system, the slot number is always 0.\ In case of chassis system, it is the slot number of chassis in which\ the extension blade is inserted in. In case of chassis, slot number is\ non-zero value. :param crc_errors: Number of CRC errors encountered. :param lan_interface: The interface corresponding to the traffic. This\ could be either a GE port or a LAG name associated with the LAN flow. :param local_host_mss: The local-host-mss is the MSS of the TCP connection\ at the LAN ingress side connected host. :param start_time: Indicates the LAN flow start time. :param out_tcp_bytes: Total bytes sent. :param out_bytes_average: The throughput in bps for packets sent over the\ extension tunnel on WAN per 30s average. :param slow_retransmits: TCP slow retransmits count. :param out_drops_lan_session_manager: The number of drops at the egress\ from LAN session manager. :param out_bytes_lan_compression: Total bytes sent by compression engine\ on LAN. :param flow_index: flow index associated with the LAN flow. This is a\ dynamic index associated with the LAN flow. Depending on the LAN flow\ behavior the index may change and also can get reused after some time\ but at any given time they will be unique. :param mapped_tunnel_qos: The IP priority QOS associated with the flow. :param in_tcp_packets: Total TCP packets received. :param tcp_out_of_order_packets: TCP total out of order packets. :param end_time: Indicates the LAN flow end time. :param remote_host_mss: The remote-host-mss is the MSS of the TCP\ connection at peer extension tunnel endpoint connected host to its the\ LAN ingress side. :param protocol: Describes that the Layer 4 protocol of the flow. **Output** :rtype: None or one/more instance of class lan_flow_statistics on Success \ or a dictionary with error. """ # Start utils imports import sys from pyfos import pyfos_auth from pyfos import pyfos_util from pyfos.pyfos_brocade_extension import lan_flow_statistics from pyfos.utils import brcd_util # End module imports def _show_lan_flow_statistics(session, lan_flow_statisticsObj): objlist = lan_flow_statistics.get(session) lan_flow_statisticslist = list() if isinstance(objlist, lan_flow_statistics): objlist = [objlist] if isinstance(objlist, list): for i in range(len(objlist)): if lan_flow_statisticsObj.peek_out_bytes_wan_compression() is not\ None and\ lan_flow_statisticsObj.peek_out_bytes_wan_compression() !=\ objlist[i].peek_out_bytes_wan_compression(): continue if lan_flow_statisticsObj.peek_in_packets_lan_session_manager() is\ not None and\ lan_flow_statisticsObj.peek_in_packets_lan_session_manager()\ != objlist[i].peek_in_packets_lan_session_manager(): continue if lan_flow_statisticsObj.peek_vlan_priority() is not None and\ lan_flow_statisticsObj.peek_vlan_priority() !=\ objlist[i].peek_vlan_priority(): continue if lan_flow_statisticsObj.peek_traffic_control_list_name() is not\ None and\ lan_flow_statisticsObj.peek_traffic_control_list_name() !=\ objlist[i].peek_traffic_control_list_name(): continue if lan_flow_statisticsObj.peek_out_bytes_lan_session_manager() is\ not None and\ lan_flow_statisticsObj.peek_out_bytes_lan_session_manager()\ != objlist[i].peek_out_bytes_lan_session_manager(): continue if lan_flow_statisticsObj.peek_tcp_retransmits() is not None and\ lan_flow_statisticsObj.peek_tcp_retransmits() !=\ objlist[i].peek_tcp_retransmits(): continue if lan_flow_statisticsObj.peek_zero_window_count() is not None and\ lan_flow_statisticsObj.peek_zero_window_count() !=\ objlist[i].peek_zero_window_count(): continue if lan_flow_statisticsObj.peek_active_flow() is not None and\ lan_flow_statisticsObj.peek_active_flow() !=\ objlist[i].peek_active_flow(): continue if lan_flow_statisticsObj.peek_in_drops_lan_session_manager() is\ not None and\ lan_flow_statisticsObj.peek_in_drops_lan_session_manager() !=\ objlist[i].peek_in_drops_lan_session_manager(): continue if lan_flow_statisticsObj.peek_destination_port() is not None and\ lan_flow_statisticsObj.peek_destination_port() !=\ objlist[i].peek_destination_port(): continue if lan_flow_statisticsObj.peek_in_bytes_average() is not None and\ lan_flow_statisticsObj.peek_in_bytes_average() !=\ objlist[i].peek_in_bytes_average(): continue if lan_flow_statisticsObj.peek_destination_ip_address() is not\ None and lan_flow_statisticsObj.peek_destination_ip_address()\ != objlist[i].peek_destination_ip_address(): continue if lan_flow_statisticsObj.peek_in_bytes_lan_session_manager() is\ not None and\ lan_flow_statisticsObj.peek_in_bytes_lan_session_manager() !=\ objlist[i].peek_in_bytes_lan_session_manager(): continue if lan_flow_statisticsObj.peek_in_bytes_lan_compression() is not\ None and\ lan_flow_statisticsObj.peek_in_bytes_lan_compression() !=\ objlist[i].peek_in_bytes_lan_compression(): continue if lan_flow_statisticsObj.peek_out_tcp_packets() is not None and\ lan_flow_statisticsObj.peek_out_tcp_packets() !=\ objlist[i].peek_out_tcp_packets(): continue if lan_flow_statisticsObj.peek_duplicate_acknowledgement() is not\ None and\ lan_flow_statisticsObj.peek_duplicate_acknowledgement() !=\ objlist[i].peek_duplicate_acknowledgement(): continue if lan_flow_statisticsObj.peek_source_port() is not None and\ lan_flow_statisticsObj.peek_source_port() !=\ objlist[i].peek_source_port(): continue if lan_flow_statisticsObj.peek_dp_id() is not None and\ lan_flow_statisticsObj.peek_dp_id() !=\ objlist[i].peek_dp_id(): continue if lan_flow_statisticsObj.peek_in_bytes_wan_compression() is not\ None and\ lan_flow_statisticsObj.peek_in_bytes_wan_compression() !=\ objlist[i].peek_in_bytes_wan_compression(): continue if lan_flow_statisticsObj.peek_in_tcp_bytes() is not None and\ lan_flow_statisticsObj.peek_in_tcp_bytes() !=\ objlist[i].peek_in_tcp_bytes(): continue if lan_flow_statisticsObj.peek_vlan_id() is not None and\ lan_flow_statisticsObj.peek_vlan_id() !=\ objlist[i].peek_vlan_id(): continue if lan_flow_statisticsObj.peek_out_packets_lan_session_manager()\ is not None and\ lan_flow_statisticsObj.peek_out_packets_lan_session_manager()\ != objlist[i].peek_out_packets_lan_session_manager(): continue if lan_flow_statisticsObj.peek_zero_window_maximum_duration() is\ not None and\ lan_flow_statisticsObj.peek_zero_window_maximum_duration() !=\ objlist[i].peek_zero_window_maximum_duration(): continue if lan_flow_statisticsObj.peek_source_ip_address() is not None and\ lan_flow_statisticsObj.peek_source_ip_address() !=\ objlist[i].peek_source_ip_address(): continue if lan_flow_statisticsObj.peek_fast_retransmits() is not None and\ lan_flow_statisticsObj.peek_fast_retransmits() !=\ objlist[i].peek_fast_retransmits(): continue if lan_flow_statisticsObj.peek_rtt() is not None and\ lan_flow_statisticsObj.peek_rtt() != objlist[i].peek_rtt(): continue if lan_flow_statisticsObj.peek_mapped_tunnel_ve_port() is not None\ and lan_flow_statisticsObj.peek_mapped_tunnel_ve_port() !=\ objlist[i].peek_mapped_tunnel_ve_port(): continue if lan_flow_statisticsObj.peek_hcl_flow() is not None and\ lan_flow_statisticsObj.peek_hcl_flow() !=\ objlist[i].peek_hcl_flow(): continue if lan_flow_statisticsObj.peek_dscp() is not None and\ lan_flow_statisticsObj.peek_dscp() != objlist[i].peek_dscp(): continue if lan_flow_statisticsObj.peek_slot() is not None and\ lan_flow_statisticsObj.peek_slot() != objlist[i].peek_slot(): continue if lan_flow_statisticsObj.peek_crc_errors() is not None and\ lan_flow_statisticsObj.peek_crc_errors() !=\ objlist[i].peek_crc_errors(): continue if lan_flow_statisticsObj.peek_lan_interface() is not None and\ lan_flow_statisticsObj.peek_lan_interface() !=\ objlist[i].peek_lan_interface(): continue if lan_flow_statisticsObj.peek_local_host_mss() is not None and\ lan_flow_statisticsObj.peek_local_host_mss() !=\ objlist[i].peek_local_host_mss(): continue if lan_flow_statisticsObj.peek_start_time() is not None and\ lan_flow_statisticsObj.peek_start_time() !=\ objlist[i].peek_start_time(): continue if lan_flow_statisticsObj.peek_out_tcp_bytes() is not None and\ lan_flow_statisticsObj.peek_out_tcp_bytes() !=\ objlist[i].peek_out_tcp_bytes(): continue if lan_flow_statisticsObj.peek_out_bytes_average() is not None and\ lan_flow_statisticsObj.peek_out_bytes_average() !=\ objlist[i].peek_out_bytes_average(): continue if lan_flow_statisticsObj.peek_slow_retransmits() is not None and\ lan_flow_statisticsObj.peek_slow_retransmits() !=\ objlist[i].peek_slow_retransmits(): continue if lan_flow_statisticsObj.peek_out_drops_lan_session_manager() is\ not None and\ lan_flow_statisticsObj.peek_out_drops_lan_session_manager()\ != objlist[i].peek_out_drops_lan_session_manager(): continue if lan_flow_statisticsObj.peek_out_bytes_lan_compression() is not\ None and\ lan_flow_statisticsObj.peek_out_bytes_lan_compression() !=\ objlist[i].peek_out_bytes_lan_compression(): continue if lan_flow_statisticsObj.peek_flow_index() is not None and\ lan_flow_statisticsObj.peek_flow_index() !=\ objlist[i].peek_flow_index(): continue if lan_flow_statisticsObj.peek_mapped_tunnel_qos() is not None and\ lan_flow_statisticsObj.peek_mapped_tunnel_qos() !=\ objlist[i].peek_mapped_tunnel_qos(): continue if lan_flow_statisticsObj.peek_in_tcp_packets() is not None and\ lan_flow_statisticsObj.peek_in_tcp_packets() !=\ objlist[i].peek_in_tcp_packets(): continue if lan_flow_statisticsObj.peek_tcp_out_of_order_packets() is not\ None and\ lan_flow_statisticsObj.peek_tcp_out_of_order_packets() !=\ objlist[i].peek_tcp_out_of_order_packets(): continue if lan_flow_statisticsObj.peek_end_time() is not None and\ lan_flow_statisticsObj.peek_end_time() !=\ objlist[i].peek_end_time(): continue if lan_flow_statisticsObj.peek_remote_host_mss() is not None and\ lan_flow_statisticsObj.peek_remote_host_mss() !=\ objlist[i].peek_remote_host_mss(): continue if lan_flow_statisticsObj.peek_protocol() is not None and\ lan_flow_statisticsObj.peek_protocol() !=\ objlist[i].peek_protocol(): continue lan_flow_statisticslist.append(objlist[i]) else: return objlist return lan_flow_statisticslist def show_lan_flow_statistics(session, out_bytes_wan_compression=None, in_packets_lan_session_manager=None, vlan_priority=None, traffic_control_list_name=None, out_bytes_lan_session_manager=None, tcp_retransmits=None, zero_window_count=None, active_flow=None, in_drops_lan_session_manager=None, destination_port=None, in_bytes_average=None, destination_ip_address=None, in_bytes_lan_session_manager=None, in_bytes_lan_compression=None, out_tcp_packets=None, duplicate_acknowledgement=None, source_port=None, dp_id=None, in_bytes_wan_compression=None, in_tcp_bytes=None, vlan_id=None, out_packets_lan_session_manager=None, zero_window_maximum_duration=None, source_ip_address=None, fast_retransmits=None, rtt=None, mapped_tunnel_ve_port=None, hcl_flow=None, dscp=None, slot=None, crc_errors=None, lan_interface=None, local_host_mss=None, start_time=None, out_tcp_bytes=None, out_bytes_average=None, slow_retransmits=None, out_drops_lan_session_manager=None, out_bytes_lan_compression=None, flow_index=None, mapped_tunnel_qos=None, in_tcp_packets=None, tcp_out_of_order_packets=None, end_time=None, remote_host_mss=None, protocol=None): lan_flow_statisticsObj = lan_flow_statistics() lan_flow_statisticsObj.set_out_bytes_wan_compression( out_bytes_wan_compression) lan_flow_statisticsObj.set_in_packets_lan_session_manager( in_packets_lan_session_manager) lan_flow_statisticsObj.set_vlan_priority(vlan_priority) lan_flow_statisticsObj.set_traffic_control_list_name( traffic_control_list_name) lan_flow_statisticsObj.set_out_bytes_lan_session_manager( out_bytes_lan_session_manager) lan_flow_statisticsObj.set_tcp_retransmits(tcp_retransmits) lan_flow_statisticsObj.set_zero_window_count(zero_window_count) lan_flow_statisticsObj.set_active_flow(active_flow) lan_flow_statisticsObj.set_in_drops_lan_session_manager( in_drops_lan_session_manager) lan_flow_statisticsObj.set_destination_port(destination_port) lan_flow_statisticsObj.set_in_bytes_average(in_bytes_average) lan_flow_statisticsObj.set_destination_ip_address(destination_ip_address) lan_flow_statisticsObj.set_in_bytes_lan_session_manager( in_bytes_lan_session_manager) lan_flow_statisticsObj.set_in_bytes_lan_compression( in_bytes_lan_compression) lan_flow_statisticsObj.set_out_tcp_packets(out_tcp_packets) lan_flow_statisticsObj.set_duplicate_acknowledgement( duplicate_acknowledgement) lan_flow_statisticsObj.set_source_port(source_port) lan_flow_statisticsObj.set_dp_id(dp_id) lan_flow_statisticsObj.set_in_bytes_wan_compression( in_bytes_wan_compression) lan_flow_statisticsObj.set_in_tcp_bytes(in_tcp_bytes) lan_flow_statisticsObj.set_vlan_id(vlan_id) lan_flow_statisticsObj.set_out_packets_lan_session_manager( out_packets_lan_session_manager) lan_flow_statisticsObj.set_zero_window_maximum_duration( zero_window_maximum_duration) lan_flow_statisticsObj.set_source_ip_address(source_ip_address) lan_flow_statisticsObj.set_fast_retransmits(fast_retransmits) lan_flow_statisticsObj.set_rtt(rtt) lan_flow_statisticsObj.set_mapped_tunnel_ve_port(mapped_tunnel_ve_port) lan_flow_statisticsObj.set_hcl_flow(hcl_flow) lan_flow_statisticsObj.set_dscp(dscp) lan_flow_statisticsObj.set_slot(slot) lan_flow_statisticsObj.set_crc_errors(crc_errors) lan_flow_statisticsObj.set_lan_interface(lan_interface) lan_flow_statisticsObj.set_local_host_mss(local_host_mss) lan_flow_statisticsObj.set_start_time(start_time) lan_flow_statisticsObj.set_out_tcp_bytes(out_tcp_bytes) lan_flow_statisticsObj.set_out_bytes_average(out_bytes_average) lan_flow_statisticsObj.set_slow_retransmits(slow_retransmits) lan_flow_statisticsObj.set_out_drops_lan_session_manager( out_drops_lan_session_manager) lan_flow_statisticsObj.set_out_bytes_lan_compression( out_bytes_lan_compression) lan_flow_statisticsObj.set_flow_index(flow_index) lan_flow_statisticsObj.set_mapped_tunnel_qos(mapped_tunnel_qos) lan_flow_statisticsObj.set_in_tcp_packets(in_tcp_packets) lan_flow_statisticsObj.set_tcp_out_of_order_packets( tcp_out_of_order_packets) lan_flow_statisticsObj.set_end_time(end_time) lan_flow_statisticsObj.set_remote_host_mss(remote_host_mss) lan_flow_statisticsObj.set_protocol(protocol) return _show_lan_flow_statistics(session, lan_flow_statisticsObj) def validate(lan_flow_statisticsObj): if lan_flow_statisticsObj.peek_out_bytes_wan_compression() is None or\ lan_flow_statisticsObj.peek_in_packets_lan_session_manager() is None\ or lan_flow_statisticsObj.peek_vlan_priority() is None or\ lan_flow_statisticsObj.peek_traffic_control_list_name() is None or\ lan_flow_statisticsObj.peek_out_bytes_lan_session_manager() is None\ or lan_flow_statisticsObj.peek_tcp_retransmits() is None or\ lan_flow_statisticsObj.peek_zero_window_count() is None or\ lan_flow_statisticsObj.peek_active_flow() is None or\ lan_flow_statisticsObj.peek_in_drops_lan_session_manager() is None or\ lan_flow_statisticsObj.peek_destination_port() is None or\ lan_flow_statisticsObj.peek_in_bytes_average() is None or\ lan_flow_statisticsObj.peek_destination_ip_address() is None or\ lan_flow_statisticsObj.peek_in_bytes_lan_session_manager() is None or\ lan_flow_statisticsObj.peek_in_bytes_lan_compression() is None or\ lan_flow_statisticsObj.peek_out_tcp_packets() is None or\ lan_flow_statisticsObj.peek_duplicate_acknowledgement() is None or\ lan_flow_statisticsObj.peek_source_port() is None or\ lan_flow_statisticsObj.peek_dp_id() is None or\ lan_flow_statisticsObj.peek_in_bytes_wan_compression() is None or\ lan_flow_statisticsObj.peek_in_tcp_bytes() is None or\ lan_flow_statisticsObj.peek_vlan_id() is None or\ lan_flow_statisticsObj.peek_out_packets_lan_session_manager() is None\ or lan_flow_statisticsObj.peek_zero_window_maximum_duration() is None\ or lan_flow_statisticsObj.peek_source_ip_address() is None or\ lan_flow_statisticsObj.peek_fast_retransmits() is None or\ lan_flow_statisticsObj.peek_rtt() is None or\ lan_flow_statisticsObj.peek_mapped_tunnel_ve_port() is None or\ lan_flow_statisticsObj.peek_hcl_flow() is None or\ lan_flow_statisticsObj.peek_dscp() is None or\ lan_flow_statisticsObj.peek_slot() is None or\ lan_flow_statisticsObj.peek_crc_errors() is None or\ lan_flow_statisticsObj.peek_lan_interface() is None or\ lan_flow_statisticsObj.peek_local_host_mss() is None or\ lan_flow_statisticsObj.peek_start_time() is None or\ lan_flow_statisticsObj.peek_out_tcp_bytes() is None or\ lan_flow_statisticsObj.peek_out_bytes_average() is None or\ lan_flow_statisticsObj.peek_slow_retransmits() is None or\ lan_flow_statisticsObj.peek_out_drops_lan_session_manager() is None\ or lan_flow_statisticsObj.peek_out_bytes_lan_compression() is None or\ lan_flow_statisticsObj.peek_flow_index() is None or\ lan_flow_statisticsObj.peek_mapped_tunnel_qos() is None or\ lan_flow_statisticsObj.peek_in_tcp_packets() is None or\ lan_flow_statisticsObj.peek_tcp_out_of_order_packets() is None or\ lan_flow_statisticsObj.peek_end_time() is None or\ lan_flow_statisticsObj.peek_remote_host_mss() is None or\ lan_flow_statisticsObj.peek_protocol() is None: return 0 return 0 def main(argv): filters = ["out_bytes_wan_compression", "in_packets_lan_session_manager", "vlan_priority", "traffic_control_list_name", "out_bytes_lan_session_manager", "tcp_retransmits", "zero_window_count", "active_flow", "in_drops_lan_session_manager", "destination_port", "in_bytes_average", "destination_ip_address", "in_bytes_lan_session_manager", "in_bytes_lan_compression", "out_tcp_packets", "duplicate_acknowledgement", "source_port", "mapped_tunnel", "dp_id", "in_bytes_wan_compression", "in_tcp_bytes", "vlan_id", "out_packets_lan_session_manager", "zero_window_maximum_duration", "source_ip_address", "fast_retransmits", "rtt", "mapped_tunnel_ve_port", "hcl_flow", "dscp", "slot", "crc_errors", "lan_interface", "local_host_mss", "start_time", "out_tcp_bytes", "out_bytes_average", "slow_retransmits", "out_drops_lan_session_manager", "out_bytes_lan_compression", "flow_index", "mapped_tunnel_qos", "in_tcp_packets", "tcp_out_of_order_packets", "end_time", "remote_host_mss", "protocol"] inputs = brcd_util.parse(argv, lan_flow_statistics, filters, validate) session = brcd_util.getsession(inputs) result = _show_lan_flow_statistics(session, inputs['utilobject']) pyfos_util.response_print(result) pyfos_auth.logout(session) if __name__ == "__main__": main(sys.argv[1:])

52.46477

79

0.699734

5,094

38,719

4.927562

0.061837

0.080594

0.18804

0.131947

0.865782

0.841401

0.803076

0.755587

0.676945

0.601251

0

0.001574

0.228802

38,719

737

80

52.535957

0.839015

0.439242

0

0.160526

0

0.037532

0.019513

0

1

0.010526

false

0

0.013158

0

0.036842

0.002632

0

null

0

1

0

1

0

1

0

null

0

6

61910dccf21a1aa4ad3a5bb0f0360a32ac8e7f02

115

py

Python

Ethanyan_mall/Ethanyan_mall/apps/goods/tests.py

Jaylen0829/E-commerce-sites

faa4443c11d1534642c8dc9f8262f818f489c554

[ "MIT" ]

17

2019-01-22T00:14:40.000Z

2022-02-03T12:29:49.000Z

Ethanyan_mall/Ethanyan_mall/apps/goods/tests.py

Jaylen0829/E-commerce-sites

faa4443c11d1534642c8dc9f8262f818f489c554

[ "MIT" ]

1

2020-06-28T15:16:38.000Z

2020-08-03T15:34:14.000Z

Ethanyan_mall/Ethanyan_mall/apps/goods/tests.py

EthanYan6/E-commerce-sites

faa4443c11d1534642c8dc9f8262f818f489c554

[ "MIT" ]

11

2020-02-24T00:22:08.000Z

2022-03-26T17:03:40.000Z

from django.test import TestCase from django.core.files.storage import FileSystemStorage # Create your tests here.

28.75

55

0.834783

16

115

6

0.8125

0.208333

0

0.113043

115

3

56

38.333333

0.941176

0.2

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

61a636757fd76f3de493f20cbc5e957624af9e38

77

py

Python

tests/common/ping/main.py

yojagad/azure-functions-python-worker

d5a1587a4ccf56af64f211a64f0b7a3d6cf976c9

[ "MIT" ]

null

tests/common/ping/main.py

yojagad/azure-functions-python-worker

d5a1587a4ccf56af64f211a64f0b7a3d6cf976c9

[ "MIT" ]

null

tests/common/ping/main.py

yojagad/azure-functions-python-worker

d5a1587a4ccf56af64f211a64f0b7a3d6cf976c9

[ "MIT" ]

null

import azure.functions as func def main(req: func.HttpRequest): return

12.833333

32

0.74026

11

77

5.181818

0.909091

0

0.181818

77

5

33

15.4

0.904762

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

9cea991f333e6c86dc80eefec9552687360de60e

137

py

Python

dcp/__init__.py

kvh/dcp

1332b0fa44e755202d5f13342e834fe165b36ca5

[ "BSD-3-Clause" ]

3

2021-04-13T22:12:34.000Z

2021-07-17T19:01:08.000Z

dcp/__init__.py

kvh/dcp

1332b0fa44e755202d5f13342e834fe165b36ca5

[ "BSD-3-Clause" ]

1

2021-04-13T22:12:21.000Z

dcp/__init__.py

kvh/dcp

1332b0fa44e755202d5f13342e834fe165b36ca5

[ "BSD-3-Clause" ]

null

from dcp.data_copy import * from dcp.data_format import * from dcp.storage import * from .logging import * # Disable logger by default

22.833333

51

0.766423

21

137

4.904762

0.571429

0.203884

0.213592

0

0.167883

137

5

52

27.4

0.903509

0.182482

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

1409eca370e7ee40e270168bfa913fcfff9f11f1

5,635

py

Python

tests/test_div_shortcut.py

Pitmairen/hamlish-jinja

f8fdbddf2f444124c6fc69d1eb11603da2838093

[ "BSD-3-Clause" ]

45

2015-04-20T20:17:24.000Z

2022-02-13T19:31:53.000Z

tests/test_div_shortcut.py

Pitmairen/hamlish-jinja

f8fdbddf2f444124c6fc69d1eb11603da2838093

[ "BSD-3-Clause" ]

3

2016-03-31T13:11:15.000Z

2018-10-09T02:00:24.000Z

tests/test_div_shortcut.py

Pitmairen/hamlish-jinja

f8fdbddf2f444124c6fc69d1eb11603da2838093

[ "BSD-3-Clause" ]

4

2015-10-04T15:27:40.000Z

2019-06-13T11:47:00.000Z

# -*- coding: utf-8 -*- import unittest from hamlish_jinja import Hamlish, Output import testing_base class TestSyntax(testing_base.TestCase): def setUp(self): self.hamlish = Hamlish( Output(indent_string=' ', newline_string='\n'), use_div_shortcut=True) def test_div_class_shortcut(self): s = self._h(''' .test Test ''') r = '''\ <div class="test"> Test </div>\ ''' self.assertEqual(s, r) def test_div_class_shortcut_inline_data(self): s = self._h('''.test << Test''') r = '''<div class="test">Test</div>''' self.assertEqual(s, r) def test_div_id_shortcut(self): s = self._h(''' #test Test ''') r = '''\ <div id="test"> Test </div>\ ''' self.assertEqual(s, r) def test_div_id_shortcut_inline_data(self): s = self._h('''#test << Test''') r = '''<div id="test">Test</div>''' self.assertEqual(s, r) def test_div_multiple_class_shortcut(self): s = self._h(''' .test.test2 Test ''') r = '''\ <div class="test test2"> Test </div>\ ''' self.assertEqual(s, r) def test_div_multiple_class_shortcut_inline_data(self): s = self._h('''.test.test2 << Test''') r = '''<div class="test test2">Test</div>''' self.assertEqual(s, r) def test_div_multiple_id_shortcut(self): s = self._h(''' #test#test2 Test ''') r = '''\ <div id="test test2"> Test </div>\ ''' self.assertEqual(s, r) def test_div_multiple_id_shortcut_inline_data(self): s = self._h('''#test#test2 << Test''') r = '''<div id="test test2">Test</div>''' self.assertEqual(s, r) def test_div_mixed_class_id_shortcut(self): s = self._h(''' #test.test Test .test#test Test .test#test.test2 Test #test.test#test2 Test #test#test2.test#test3.test2 Test ''') r = '''\ <div id="test" class="test"> Test </div> <div class="test" id="test"> Test </div> <div class="test test2" id="test"> Test </div> <div id="test test2" class="test"> Test </div> <div id="test test2 test3" class="test test2"> Test </div>\ ''' self.assertEqual(s, r) def test_div_multiple_id_shortcut_inline_data(self): s = self._h(''' #test.test << Test .test#test << Test .test.test2#test << Test .test#test.test2 << Test ''') r = '''\ <div id="test" class="test">Test</div> <div class="test" id="test">Test</div> <div class="test test2" id="test">Test</div> <div class="test test2" id="test">Test</div>\ ''' self.assertEqual(s, r) self.assertEqual(s, r) def test_mixed_shortcut_normal(self): s = self._h(''' #test class="test" Test ''') r = '''\ <div id="test" class="test"> Test </div>''' self.assertEqual(s, r) def test_mixed_shortcut_normal2(self): s = self._h(''' .test.test2 id="test" Test ''') r = '''\ <div class="test test2" id="test"> Test </div>''' self.assertEqual(s, r) def test_mixed_shortcut_normal_inline_data(self): s = self._h('''#test class="test" << Test''') r = '''<div id="test" class="test">Test</div>''' self.assertEqual(s, r) def test_mixed_shortcut_normal_inline_data2(self): s = self._h('''.test.test2 id="test" << Test''') r = '''<div class="test test2" id="test">Test</div>''' self.assertEqual(s, r) def test_shortcut_parenthetic_normal(self): s = self._h('.test(foo="bar")\n Test') r = '<div class="test" foo="bar">\n Test\n</div>' self.assertEqual(s, r) def test_shortcut_parenthetic_inline(self): s = self._h('.test(foo="bar") << Test') r = '<div class="test" foo="bar">Test</div>' self.assertEqual(s, r) def test_shortcut_parenthetic_normal2(self): s = self._h('.test.test-1(foo="bar")\n Test') r = '<div class="test test-1" foo="bar">\n Test\n</div>' self.assertEqual(s, r) def test_shortcut_parenthetic_inline2(self): s = self._h('.test.test-1(foo="bar") << Test') r = '<div class="test test-1" foo="bar">Test</div>' self.assertEqual(s, r) def test_shortcut_parenthetic_inline3(self): s = self._h('#foo.test.test-1(foo="bar") << Test') r = '<div id="foo" class="test test-1" foo="bar">Test</div>' self.assertEqual(s, r) def test_shortcut_parenthetic_self_closing(self): s = self._h('.test(foo="bar").') r = '<div class="test" foo="bar" />' self.assertEqual(s, r) def test_shortcut_parenthetic_self_closing2(self): s = self._h('.test.test-1(foo="bar").') r = '<div class="test test-1" foo="bar" />' self.assertEqual(s, r) def test_shortcut_parenthetic_self_closing3(self): s = self._h('#foo.test.test-1(foo="bar").') r = '<div id="foo" class="test test-1" foo="bar" />' self.assertEqual(s, r) def test_nested_with_shortcuts(self): s = self._h(''' %p -> %span.test Test ''') r = '''\ <p><span class="test"> Test </span></p>''' self.assertEqual(s, r) def test_nested_with_shortcuts2(self): s = self._h(''' %p -> %span.test << Test ''') r = '''\ <p><span class="test">Test</span></p>''' self.assertEqual(s, r) def test_nested_with_shortcuts3(self): s = self._h(''' %p -> %span.test id="test" -> Test ''') r = '''\ <p><span class="test" id="test">Test</span></p>''' self.assertEqual(s, r) if __name__ == '__main__': unittest.main()

23

68

0.561136

782

5,635

3.865729

0.075448

0.156136

0.137612

0.146212

0.894145

0.888521

0.873305

0.819716

0.792259

0.737678

0

0.010763

0.241526

5,635

244

69

23.094262

0.696537

0.003727

0

0.53

0

0.005

0.379544

0.053101

0

0.13

1

0.13

false

0

0.015

0

0.15

0

null

0

1

0

null

0

6

1413d4166e527d46d63e81bff2c72b8978b6445e

5,564

py

Python

WaveletApp/Wavelet_One.py

ChairOfStructuralMechanicsTUM/Mechanics_Apps

b064a42d4df3fa9bde62a5cff9cb27ca61b0127c

[ "MIT" ]

11

2017-05-06T17:05:29.000Z

2020-11-12T09:26:47.000Z

WaveletApp/Wavelet_One.py

ChairOfStructuralMechanicsTUM/Mechanics_Apps

b064a42d4df3fa9bde62a5cff9cb27ca61b0127c

[ "MIT" ]

49

2017-04-20T11:26:11.000Z

2020-05-29T13:18:06.000Z

WaveletApp/Wavelet_One.py

ChairOfStructuralMechanicsTUM/Mechanics_Apps

b064a42d4df3fa9bde62a5cff9cb27ca61b0127c

[ "MIT" ]

4

2017-02-14T12:55:34.000Z

2022-01-12T15:07:07.000Z

import numpy as np from scipy.integrate import quad from math import sin, cos, pi, exp def Find_Heaviside_Wavelet_One(T0,amp,Resolut): """ This function computes the wavelet transform of a heaviside function input: T0: float, representing the time where the step happen amp: float, representing the amplitude of the step Resolut: int, representing the resolution of the result return: a: array_like of size (1xResolut), discretization of the y-axis b: array_like of size (1xResolut), discretization of the x-axis W: array_like of size (ResolutxResolut), matrix containing the wavelet transform value at each (a,b) """ a = np.linspace(0.1, 5, Resolut) b = np.linspace(0.1, 5, Resolut) W = np.zeros((Resolut, Resolut)) for i in range (0,Resolut): for j in range (0,Resolut): def integrand1(t): output = a[i]**-0.5 * amp * (t-b[j])/a[i] * exp(-( (t-b[j])/a[i] )**2.0) return output W[i][j]=quad(integrand1, T0, 15)[0] return a,b,W def Find_Rectangular_Wavelet_One(T0,T1,amp,Resolut): """ This function computes the wavelet transform of a rectangular function input: T0: float, representing the time where the first step happen T1: float, representing the time where the second step happen amp: float, representing the amplitude of the step Resolut: int, representing the resolution of the result return: a: array_like of size (1xResolut), discretization of the y-axis b: array_like of size (1xResolut), discretization of the x-axis W: array_like of size (ResolutxResolut), matrix containing the wavelet transform value at each (a,b) """ a=np.linspace(0.1,5,Resolut) b=np.linspace(0.1,5,Resolut) W=np.zeros((Resolut, Resolut)) for i in range (0,Resolut): for j in range (0,Resolut): def integrand1(t): output = a[i]**-0.5 * amp * (t-b[j])/a[i] * exp(-( (t-b[j])/a[i] )**2.0) return output W[i][j]=quad(integrand1, T0, T1)[0] return a,b,W def Find_Dirac_Wavelet_One(T0, amp,Resolut): """ This function computes the wavelet transform of a dirac function input: T0: float, representing the impulse happen amp: float, representing the amplitude of the impulse Resolut: int, representing the resolution of the result return: a: array_like of size (1xResolut), discretization of the y-axis b: array_like of size (1xResolut), discretization of the x-axis W: array_like of size (ResolutxResolut), matrix containing the wavelet transform value at each (a,b) """ a=np.linspace(0.1,5,Resolut) b=np.linspace(0.1,5,Resolut) W=np.zeros((Resolut, Resolut)) for i in range (0,Resolut): for j in range (0,Resolut): W[i][j]= a[i]**-0.5 * amp * (T0-b[j])/a[i] * exp(-( (T0-b[j])/a[i] )**2.0) return a,b,W def Find_Trig_Wavelet_One(index, frequency, Resolut): """ This function computes the wavelet transform of sin and cos functions input: index: int, defining which trigonometric function to be used {0 -> sin, 1 -> cos} frequency: float, representing the the frequency of the trigonometric function Resolut: int, representing the resolution of the result return: a: array_like of size (1xResolut), discretization of the y-axis b: array_like of size (1xResolut), discretization of the x-axis W: array_like of size (ResolutxResolut), matrix containing the wavelet transform value at each (a,b) """ a=np.linspace(0.1,5,Resolut) b=np.linspace(0.1,5,Resolut) W=np.zeros((Resolut, Resolut)) if (index == 0): for i in range (0,Resolut): for j in range (0,Resolut): def integrand1(t): output = a[i]**-0.5 * np.sin(2 * np.pi * frequency * t) * (t-b[j])/a[i] * exp(-( (t-b[j])/a[i] )**2.0) return output W[i][j]=quad(integrand1, -10, 15)[0] else: for i in range (0,Resolut): for j in range (0,Resolut): def integrand1(t): output = a[i]**-0.5 * np.cos(2 * np.pi * frequency * t) * (t-b[j])/a[i] * exp(-( (t-b[j])/a[i] )**2.0) return output W[i][j]=quad(integrand1, -10, 15)[0] return a,b,W def Find_Custom_Wavelet_One(user_func,Resolut): """ This function computes the wavelet transform of sin and cos functions input: user_func: string, defining the user defined function Resolut: int, representing the resolution of the result return: a: array_like of size (1xResolut), discretization of the y-axis b: array_like of size (1xResolut), discretization of the x-axis W: array_like of size (ResolutxResolut), matrix containing the wavelet transform value at each (a,b) """ a=np.linspace(0.1,5,Resolut) b=np.linspace(0.1,5,Resolut) W=np.zeros((Resolut, Resolut)) #make a list of safe functions safe_dict = { 'sin' : sin, 'cos' : cos, 'pi' : pi, 'exp' : exp, } for i, a_i in enumerate(a): for j, b_j in enumerate(b): def integrand(t): safe_dict['t'] = t return a_i**-0.5 * eval(user_func, safe_dict) * (t-b_j)/a_i * exp(-( (t-b_j)/a_i )**2.0) W[i][j]=quad(integrand, -10, 15)[0] return a,b,W

38.638889

122

0.602444

847

5,564

3.90673

0.121606

0.02871

0.049864

0.067996

0.829858

0.824418

0.80417

0.788154

0.764581

0.736174

0

0.029573

0.276779

5,564

144

123

38.638889

0.792744

0.464774

0

0.608696

0

0.004375

0

1

0.144928

false

0

0.043478

0

0.333333

0

null

0

1

0

null

0

6

143967ecdb807596bad84628a55decbf28df2bbb

53,787

py

Python

erc1155_deployer/vendor/fetchai/protocols/ledger_api/ledger_api_pb2.py

Ataxia123/agents-template

513ae6afe02b9972929e39a26e15e276f0ed5b1c

[ "Apache-2.0" ]

null

erc1155_deployer/vendor/fetchai/protocols/ledger_api/ledger_api_pb2.py

Ataxia123/agents-template

513ae6afe02b9972929e39a26e15e276f0ed5b1c

[ "Apache-2.0" ]

null

erc1155_deployer/vendor/fetchai/protocols/ledger_api/ledger_api_pb2.py

Ataxia123/agents-template

513ae6afe02b9972929e39a26e15e276f0ed5b1c

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: ledger_api.proto from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name="ledger_api.proto", package="aea.fetchai.ledger_api.v0_1_0", syntax="proto3", serialized_options=None, serialized_pb=b'\n\x10ledger_api.proto\x12\x1d\x61\x65\x61.fetchai.ledger_api.v0_1_0"\x86\x15\n\x10LedgerApiMessage\x12W\n\x07\x62\x61lance\x18\x05 \x01(\x0b\x32\x44.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Balance_PerformativeH\x00\x12S\n\x05\x65rror\x18\x06 \x01(\x0b\x32\x42.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Error_PerformativeH\x00\x12_\n\x0bget_balance\x18\x07 \x01(\x0b\x32H.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Balance_PerformativeH\x00\x12o\n\x13get_raw_transaction\x18\x08 \x01(\x0b\x32P.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Raw_Transaction_PerformativeH\x00\x12[\n\tget_state\x18\t \x01(\x0b\x32\x46.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_State_PerformativeH\x00\x12w\n\x17get_transaction_receipt\x18\n \x01(\x0b\x32T.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Transaction_Receipt_PerformativeH\x00\x12g\n\x0fraw_transaction\x18\x0b \x01(\x0b\x32L.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Raw_Transaction_PerformativeH\x00\x12w\n\x17send_signed_transaction\x18\x0c \x01(\x0b\x32T.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Send_Signed_Transaction_PerformativeH\x00\x12S\n\x05state\x18\r \x01(\x0b\x32\x42.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.State_PerformativeH\x00\x12m\n\x12transaction_digest\x18\x0e \x01(\x0b\x32O.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Transaction_Digest_PerformativeH\x00\x12o\n\x13transaction_receipt\x18\x0f \x01(\x0b\x32P.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Transaction_Receipt_PerformativeH\x00\x1a\x18\n\x06Kwargs\x12\x0e\n\x06kwargs\x18\x01 \x01(\x0c\x1a)\n\x0eRawTransaction\x12\x17\n\x0fraw_transaction\x18\x01 \x01(\x0c\x1a/\n\x11SignedTransaction\x12\x1a\n\x12signed_transaction\x18\x01 \x01(\x0c\x1a\x16\n\x05State\x12\r\n\x05state\x18\x01 \x01(\x0c\x1a\x16\n\x05Terms\x12\r\n\x05terms\x18\x01 \x01(\x0c\x1a/\n\x11TransactionDigest\x12\x1a\n\x12transaction_digest\x18\x01 \x01(\x0c\x1a\x31\n\x12TransactionReceipt\x12\x1b\n\x13transaction_receipt\x18\x01 \x01(\x0c\x1a>\n\x18Get_Balance_Performative\x12\x11\n\tledger_id\x18\x01 \x01(\t\x12\x0f\n\x07\x61\x64\x64ress\x18\x02 \x01(\t\x1ah\n Get_Raw_Transaction_Performative\x12\x44\n\x05terms\x18\x01 \x01(\x0b\x32\x35.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Terms\x1a\x85\x01\n$Send_Signed_Transaction_Performative\x12]\n\x12signed_transaction\x18\x01 \x01(\x0b\x32\x41.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.SignedTransaction\x1a\x85\x01\n$Get_Transaction_Receipt_Performative\x12]\n\x12transaction_digest\x18\x01 \x01(\x0b\x32\x41.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.TransactionDigest\x1a:\n\x14\x42\x61lance_Performative\x12\x11\n\tledger_id\x18\x01 \x01(\t\x12\x0f\n\x07\x62\x61lance\x18\x02 \x01(\x05\x1aw\n\x1cRaw_Transaction_Performative\x12W\n\x0fraw_transaction\x18\x01 \x01(\x0b\x32>.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.RawTransaction\x1a\x80\x01\n\x1fTransaction_Digest_Performative\x12]\n\x12transaction_digest\x18\x01 \x01(\x0b\x32\x41.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.TransactionDigest\x1a\x83\x01\n Transaction_Receipt_Performative\x12_\n\x13transaction_receipt\x18\x01 \x01(\x0b\x32\x42.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.TransactionReceipt\x1a\x93\x01\n\x16Get_State_Performative\x12\x11\n\tledger_id\x18\x01 \x01(\t\x12\x10\n\x08\x63\x61llable\x18\x02 \x01(\t\x12\x0c\n\x04\x61rgs\x18\x03 \x03(\t\x12\x46\n\x06kwargs\x18\x04 \x01(\x0b\x32\x36.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Kwargs\x1am\n\x12State_Performative\x12\x11\n\tledger_id\x18\x01 \x01(\t\x12\x44\n\x05state\x18\x02 \x01(\x0b\x32\x35.aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.State\x1an\n\x12\x45rror_Performative\x12\x0c\n\x04\x63ode\x18\x01 \x01(\x05\x12\x0f\n\x07message\x18\x02 \x01(\t\x12\x16\n\x0emessage_is_set\x18\x03 \x01(\x08\x12\x0c\n\x04\x64\x61ta\x18\x04 \x01(\x0c\x12\x13\n\x0b\x64\x61ta_is_set\x18\x05 \x01(\x08\x42\x0e\n\x0cperformativeb\x06proto3', ) _LEDGERAPIMESSAGE_KWARGS = _descriptor.Descriptor( name="Kwargs", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Kwargs", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="kwargs", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Kwargs.kwargs", index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b"", message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1205, serialized_end=1229, ) _LEDGERAPIMESSAGE_RAWTRANSACTION = _descriptor.Descriptor( name="RawTransaction", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.RawTransaction", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="raw_transaction", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.RawTransaction.raw_transaction", index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b"", message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1231, serialized_end=1272, ) _LEDGERAPIMESSAGE_SIGNEDTRANSACTION = _descriptor.Descriptor( name="SignedTransaction", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.SignedTransaction", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="signed_transaction", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.SignedTransaction.signed_transaction", index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b"", message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1274, serialized_end=1321, ) _LEDGERAPIMESSAGE_STATE = _descriptor.Descriptor( name="State", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.State", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="state", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.State.state", index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b"", message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1323, serialized_end=1345, ) _LEDGERAPIMESSAGE_TERMS = _descriptor.Descriptor( name="Terms", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Terms", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="terms", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Terms.terms", index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b"", message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1347, serialized_end=1369, ) _LEDGERAPIMESSAGE_TRANSACTIONDIGEST = _descriptor.Descriptor( name="TransactionDigest", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.TransactionDigest", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="transaction_digest", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.TransactionDigest.transaction_digest", index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b"", message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1371, serialized_end=1418, ) _LEDGERAPIMESSAGE_TRANSACTIONRECEIPT = _descriptor.Descriptor( name="TransactionReceipt", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.TransactionReceipt", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="transaction_receipt", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.TransactionReceipt.transaction_receipt", index=0, number=1, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b"", message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1420, serialized_end=1469, ) _LEDGERAPIMESSAGE_GET_BALANCE_PERFORMATIVE = _descriptor.Descriptor( name="Get_Balance_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Balance_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="ledger_id", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Balance_Performative.ledger_id", index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode("utf-8"), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="address", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Balance_Performative.address", index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode("utf-8"), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1471, serialized_end=1533, ) _LEDGERAPIMESSAGE_GET_RAW_TRANSACTION_PERFORMATIVE = _descriptor.Descriptor( name="Get_Raw_Transaction_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Raw_Transaction_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="terms", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Raw_Transaction_Performative.terms", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1535, serialized_end=1639, ) _LEDGERAPIMESSAGE_SEND_SIGNED_TRANSACTION_PERFORMATIVE = _descriptor.Descriptor( name="Send_Signed_Transaction_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Send_Signed_Transaction_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="signed_transaction", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Send_Signed_Transaction_Performative.signed_transaction", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1642, serialized_end=1775, ) _LEDGERAPIMESSAGE_GET_TRANSACTION_RECEIPT_PERFORMATIVE = _descriptor.Descriptor( name="Get_Transaction_Receipt_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Transaction_Receipt_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="transaction_digest", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Transaction_Receipt_Performative.transaction_digest", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1778, serialized_end=1911, ) _LEDGERAPIMESSAGE_BALANCE_PERFORMATIVE = _descriptor.Descriptor( name="Balance_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Balance_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="ledger_id", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Balance_Performative.ledger_id", index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode("utf-8"), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="balance", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Balance_Performative.balance", index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1913, serialized_end=1971, ) _LEDGERAPIMESSAGE_RAW_TRANSACTION_PERFORMATIVE = _descriptor.Descriptor( name="Raw_Transaction_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Raw_Transaction_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="raw_transaction", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Raw_Transaction_Performative.raw_transaction", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=1973, serialized_end=2092, ) _LEDGERAPIMESSAGE_TRANSACTION_DIGEST_PERFORMATIVE = _descriptor.Descriptor( name="Transaction_Digest_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Transaction_Digest_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="transaction_digest", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Transaction_Digest_Performative.transaction_digest", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=2095, serialized_end=2223, ) _LEDGERAPIMESSAGE_TRANSACTION_RECEIPT_PERFORMATIVE = _descriptor.Descriptor( name="Transaction_Receipt_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Transaction_Receipt_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="transaction_receipt", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Transaction_Receipt_Performative.transaction_receipt", index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=2226, serialized_end=2357, ) _LEDGERAPIMESSAGE_GET_STATE_PERFORMATIVE = _descriptor.Descriptor( name="Get_State_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_State_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="ledger_id", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_State_Performative.ledger_id", index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode("utf-8"), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="callable", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_State_Performative.callable", index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode("utf-8"), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="args", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_State_Performative.args", index=2, number=3, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="kwargs", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_State_Performative.kwargs", index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=2360, serialized_end=2507, ) _LEDGERAPIMESSAGE_STATE_PERFORMATIVE = _descriptor.Descriptor( name="State_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.State_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="ledger_id", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.State_Performative.ledger_id", index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode("utf-8"), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="state", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.State_Performative.state", index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=2509, serialized_end=2618, ) _LEDGERAPIMESSAGE_ERROR_PERFORMATIVE = _descriptor.Descriptor( name="Error_Performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Error_Performative", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="code", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Error_Performative.code", index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="message", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Error_Performative.message", index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode("utf-8"), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="message_is_set", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Error_Performative.message_is_set", index=2, number=3, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="data", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Error_Performative.data", index=3, number=4, type=12, cpp_type=9, label=1, has_default_value=False, default_value=b"", message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="data_is_set", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Error_Performative.data_is_set", index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[], serialized_start=2620, serialized_end=2730, ) _LEDGERAPIMESSAGE = _descriptor.Descriptor( name="LedgerApiMessage", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage", filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name="balance", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.balance", index=0, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="error", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.error", index=1, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="get_balance", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.get_balance", index=2, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="get_raw_transaction", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.get_raw_transaction", index=3, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="get_state", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.get_state", index=4, number=9, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="get_transaction_receipt", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.get_transaction_receipt", index=5, number=10, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="raw_transaction", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.raw_transaction", index=6, number=11, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="send_signed_transaction", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.send_signed_transaction", index=7, number=12, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="state", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.state", index=8, number=13, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="transaction_digest", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.transaction_digest", index=9, number=14, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), _descriptor.FieldDescriptor( name="transaction_receipt", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.transaction_receipt", index=10, number=15, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, ), ], extensions=[], nested_types=[ _LEDGERAPIMESSAGE_KWARGS, _LEDGERAPIMESSAGE_RAWTRANSACTION, _LEDGERAPIMESSAGE_SIGNEDTRANSACTION, _LEDGERAPIMESSAGE_STATE, _LEDGERAPIMESSAGE_TERMS, _LEDGERAPIMESSAGE_TRANSACTIONDIGEST, _LEDGERAPIMESSAGE_TRANSACTIONRECEIPT, _LEDGERAPIMESSAGE_GET_BALANCE_PERFORMATIVE, _LEDGERAPIMESSAGE_GET_RAW_TRANSACTION_PERFORMATIVE, _LEDGERAPIMESSAGE_SEND_SIGNED_TRANSACTION_PERFORMATIVE, _LEDGERAPIMESSAGE_GET_TRANSACTION_RECEIPT_PERFORMATIVE, _LEDGERAPIMESSAGE_BALANCE_PERFORMATIVE, _LEDGERAPIMESSAGE_RAW_TRANSACTION_PERFORMATIVE, _LEDGERAPIMESSAGE_TRANSACTION_DIGEST_PERFORMATIVE, _LEDGERAPIMESSAGE_TRANSACTION_RECEIPT_PERFORMATIVE, _LEDGERAPIMESSAGE_GET_STATE_PERFORMATIVE, _LEDGERAPIMESSAGE_STATE_PERFORMATIVE, _LEDGERAPIMESSAGE_ERROR_PERFORMATIVE, ], enum_types=[], serialized_options=None, is_extendable=False, syntax="proto3", extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name="performative", full_name="aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.performative", index=0, containing_type=None, fields=[], ), ], serialized_start=52, serialized_end=2746, ) _LEDGERAPIMESSAGE_KWARGS.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_RAWTRANSACTION.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_SIGNEDTRANSACTION.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_STATE.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_TERMS.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_TRANSACTIONDIGEST.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_TRANSACTIONRECEIPT.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_GET_BALANCE_PERFORMATIVE.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_GET_RAW_TRANSACTION_PERFORMATIVE.fields_by_name[ "terms" ].message_type = _LEDGERAPIMESSAGE_TERMS _LEDGERAPIMESSAGE_GET_RAW_TRANSACTION_PERFORMATIVE.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_SEND_SIGNED_TRANSACTION_PERFORMATIVE.fields_by_name[ "signed_transaction" ].message_type = _LEDGERAPIMESSAGE_SIGNEDTRANSACTION _LEDGERAPIMESSAGE_SEND_SIGNED_TRANSACTION_PERFORMATIVE.containing_type = ( _LEDGERAPIMESSAGE ) _LEDGERAPIMESSAGE_GET_TRANSACTION_RECEIPT_PERFORMATIVE.fields_by_name[ "transaction_digest" ].message_type = _LEDGERAPIMESSAGE_TRANSACTIONDIGEST _LEDGERAPIMESSAGE_GET_TRANSACTION_RECEIPT_PERFORMATIVE.containing_type = ( _LEDGERAPIMESSAGE ) _LEDGERAPIMESSAGE_BALANCE_PERFORMATIVE.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_RAW_TRANSACTION_PERFORMATIVE.fields_by_name[ "raw_transaction" ].message_type = _LEDGERAPIMESSAGE_RAWTRANSACTION _LEDGERAPIMESSAGE_RAW_TRANSACTION_PERFORMATIVE.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_TRANSACTION_DIGEST_PERFORMATIVE.fields_by_name[ "transaction_digest" ].message_type = _LEDGERAPIMESSAGE_TRANSACTIONDIGEST _LEDGERAPIMESSAGE_TRANSACTION_DIGEST_PERFORMATIVE.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_TRANSACTION_RECEIPT_PERFORMATIVE.fields_by_name[ "transaction_receipt" ].message_type = _LEDGERAPIMESSAGE_TRANSACTIONRECEIPT _LEDGERAPIMESSAGE_TRANSACTION_RECEIPT_PERFORMATIVE.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_GET_STATE_PERFORMATIVE.fields_by_name[ "kwargs" ].message_type = _LEDGERAPIMESSAGE_KWARGS _LEDGERAPIMESSAGE_GET_STATE_PERFORMATIVE.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_STATE_PERFORMATIVE.fields_by_name[ "state" ].message_type = _LEDGERAPIMESSAGE_STATE _LEDGERAPIMESSAGE_STATE_PERFORMATIVE.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE_ERROR_PERFORMATIVE.containing_type = _LEDGERAPIMESSAGE _LEDGERAPIMESSAGE.fields_by_name[ "balance" ].message_type = _LEDGERAPIMESSAGE_BALANCE_PERFORMATIVE _LEDGERAPIMESSAGE.fields_by_name[ "error" ].message_type = _LEDGERAPIMESSAGE_ERROR_PERFORMATIVE _LEDGERAPIMESSAGE.fields_by_name[ "get_balance" ].message_type = _LEDGERAPIMESSAGE_GET_BALANCE_PERFORMATIVE _LEDGERAPIMESSAGE.fields_by_name[ "get_raw_transaction" ].message_type = _LEDGERAPIMESSAGE_GET_RAW_TRANSACTION_PERFORMATIVE _LEDGERAPIMESSAGE.fields_by_name[ "get_state" ].message_type = _LEDGERAPIMESSAGE_GET_STATE_PERFORMATIVE _LEDGERAPIMESSAGE.fields_by_name[ "get_transaction_receipt" ].message_type = _LEDGERAPIMESSAGE_GET_TRANSACTION_RECEIPT_PERFORMATIVE _LEDGERAPIMESSAGE.fields_by_name[ "raw_transaction" ].message_type = _LEDGERAPIMESSAGE_RAW_TRANSACTION_PERFORMATIVE _LEDGERAPIMESSAGE.fields_by_name[ "send_signed_transaction" ].message_type = _LEDGERAPIMESSAGE_SEND_SIGNED_TRANSACTION_PERFORMATIVE _LEDGERAPIMESSAGE.fields_by_name[ "state" ].message_type = _LEDGERAPIMESSAGE_STATE_PERFORMATIVE _LEDGERAPIMESSAGE.fields_by_name[ "transaction_digest" ].message_type = _LEDGERAPIMESSAGE_TRANSACTION_DIGEST_PERFORMATIVE _LEDGERAPIMESSAGE.fields_by_name[ "transaction_receipt" ].message_type = _LEDGERAPIMESSAGE_TRANSACTION_RECEIPT_PERFORMATIVE _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["balance"] ) _LEDGERAPIMESSAGE.fields_by_name[ "balance" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["error"] ) _LEDGERAPIMESSAGE.fields_by_name[ "error" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["get_balance"] ) _LEDGERAPIMESSAGE.fields_by_name[ "get_balance" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["get_raw_transaction"] ) _LEDGERAPIMESSAGE.fields_by_name[ "get_raw_transaction" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["get_state"] ) _LEDGERAPIMESSAGE.fields_by_name[ "get_state" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["get_transaction_receipt"] ) _LEDGERAPIMESSAGE.fields_by_name[ "get_transaction_receipt" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["raw_transaction"] ) _LEDGERAPIMESSAGE.fields_by_name[ "raw_transaction" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["send_signed_transaction"] ) _LEDGERAPIMESSAGE.fields_by_name[ "send_signed_transaction" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["state"] ) _LEDGERAPIMESSAGE.fields_by_name[ "state" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["transaction_digest"] ) _LEDGERAPIMESSAGE.fields_by_name[ "transaction_digest" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] _LEDGERAPIMESSAGE.oneofs_by_name["performative"].fields.append( _LEDGERAPIMESSAGE.fields_by_name["transaction_receipt"] ) _LEDGERAPIMESSAGE.fields_by_name[ "transaction_receipt" ].containing_oneof = _LEDGERAPIMESSAGE.oneofs_by_name["performative"] DESCRIPTOR.message_types_by_name["LedgerApiMessage"] = _LEDGERAPIMESSAGE _sym_db.RegisterFileDescriptor(DESCRIPTOR) LedgerApiMessage = _reflection.GeneratedProtocolMessageType( "LedgerApiMessage", (_message.Message,), { "Kwargs": _reflection.GeneratedProtocolMessageType( "Kwargs", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_KWARGS, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Kwargs) }, ), "RawTransaction": _reflection.GeneratedProtocolMessageType( "RawTransaction", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_RAWTRANSACTION, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.RawTransaction) }, ), "SignedTransaction": _reflection.GeneratedProtocolMessageType( "SignedTransaction", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_SIGNEDTRANSACTION, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.SignedTransaction) }, ), "State": _reflection.GeneratedProtocolMessageType( "State", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_STATE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.State) }, ), "Terms": _reflection.GeneratedProtocolMessageType( "Terms", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_TERMS, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Terms) }, ), "TransactionDigest": _reflection.GeneratedProtocolMessageType( "TransactionDigest", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_TRANSACTIONDIGEST, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.TransactionDigest) }, ), "TransactionReceipt": _reflection.GeneratedProtocolMessageType( "TransactionReceipt", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_TRANSACTIONRECEIPT, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.TransactionReceipt) }, ), "Get_Balance_Performative": _reflection.GeneratedProtocolMessageType( "Get_Balance_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_GET_BALANCE_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Balance_Performative) }, ), "Get_Raw_Transaction_Performative": _reflection.GeneratedProtocolMessageType( "Get_Raw_Transaction_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_GET_RAW_TRANSACTION_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Raw_Transaction_Performative) }, ), "Send_Signed_Transaction_Performative": _reflection.GeneratedProtocolMessageType( "Send_Signed_Transaction_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_SEND_SIGNED_TRANSACTION_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Send_Signed_Transaction_Performative) }, ), "Get_Transaction_Receipt_Performative": _reflection.GeneratedProtocolMessageType( "Get_Transaction_Receipt_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_GET_TRANSACTION_RECEIPT_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_Transaction_Receipt_Performative) }, ), "Balance_Performative": _reflection.GeneratedProtocolMessageType( "Balance_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_BALANCE_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Balance_Performative) }, ), "Raw_Transaction_Performative": _reflection.GeneratedProtocolMessageType( "Raw_Transaction_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_RAW_TRANSACTION_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Raw_Transaction_Performative) }, ), "Transaction_Digest_Performative": _reflection.GeneratedProtocolMessageType( "Transaction_Digest_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_TRANSACTION_DIGEST_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Transaction_Digest_Performative) }, ), "Transaction_Receipt_Performative": _reflection.GeneratedProtocolMessageType( "Transaction_Receipt_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_TRANSACTION_RECEIPT_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Transaction_Receipt_Performative) }, ), "Get_State_Performative": _reflection.GeneratedProtocolMessageType( "Get_State_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_GET_STATE_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Get_State_Performative) }, ), "State_Performative": _reflection.GeneratedProtocolMessageType( "State_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_STATE_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.State_Performative) }, ), "Error_Performative": _reflection.GeneratedProtocolMessageType( "Error_Performative", (_message.Message,), { "DESCRIPTOR": _LEDGERAPIMESSAGE_ERROR_PERFORMATIVE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage.Error_Performative) }, ), "DESCRIPTOR": _LEDGERAPIMESSAGE, "__module__": "ledger_api_pb2" # @@protoc_insertion_point(class_scope:aea.fetchai.ledger_api.v0_1_0.LedgerApiMessage) }, ) _sym_db.RegisterMessage(LedgerApiMessage) _sym_db.RegisterMessage(LedgerApiMessage.Kwargs) _sym_db.RegisterMessage(LedgerApiMessage.RawTransaction) _sym_db.RegisterMessage(LedgerApiMessage.SignedTransaction) _sym_db.RegisterMessage(LedgerApiMessage.State) _sym_db.RegisterMessage(LedgerApiMessage.Terms) _sym_db.RegisterMessage(LedgerApiMessage.TransactionDigest) _sym_db.RegisterMessage(LedgerApiMessage.TransactionReceipt) _sym_db.RegisterMessage(LedgerApiMessage.Get_Balance_Performative) _sym_db.RegisterMessage(LedgerApiMessage.Get_Raw_Transaction_Performative) _sym_db.RegisterMessage(LedgerApiMessage.Send_Signed_Transaction_Performative) _sym_db.RegisterMessage(LedgerApiMessage.Get_Transaction_Receipt_Performative) _sym_db.RegisterMessage(LedgerApiMessage.Balance_Performative) _sym_db.RegisterMessage(LedgerApiMessage.Raw_Transaction_Performative) _sym_db.RegisterMessage(LedgerApiMessage.Transaction_Digest_Performative) _sym_db.RegisterMessage(LedgerApiMessage.Transaction_Receipt_Performative) _sym_db.RegisterMessage(LedgerApiMessage.Get_State_Performative) _sym_db.RegisterMessage(LedgerApiMessage.State_Performative) _sym_db.RegisterMessage(LedgerApiMessage.Error_Performative) # @@protoc_insertion_point(module_scope)

36.490502

3,928

0.654284

5,376

53,787

6.147507

0.047805

0.033163

0.047929

0.05392

0.825169

0.767981

0.694998

0.653242

0.641926

0.630821

0

0.034655

0.25376

53,787

1,473

3,929

36.515275

0.788729

0.040679

0

0.714085

1

0.000704

0.221837

0.174565

0

1

0

false

0

0.002817

0

0.002817

0

null

0

1

0

1

0

1

0

1

0

null

0

6

143f42e0ed4fe1e3e6a3ecef66105575c2c69a00

854

py

Python

Class_Point2D.py

sdfxisme/lesson11

2559b2096d6329cddca7eae829b6360adced6dc6

[ "MIT" ]

null

Class_Point2D.py

sdfxisme/lesson11

2559b2096d6329cddca7eae829b6360adced6dc6

[ "MIT" ]

null

Class_Point2D.py

sdfxisme/lesson11

2559b2096d6329cddca7eae829b6360adced6dc6

[ "MIT" ]

null

class Point2D(): def __init__(self, x,y): self.coord = [x,y] def __str__(self): return f'Point:({self.coord[0]},{self.coord[1]})' def __eq__(self,other): return (self.coord[0]==other.coord[0])&(self.coord[1]==other.coord[1]) def __ne__(self,other): return (self.coord[0]!=other.coord[0])&(self.coord[1]!=other.coord[1]) def __gt__(self,other): return (self.distance()>other.distance()) def __le__(self,other): return (self.distance()<=other.distance()) def __ge__(self,other): return (self.distance()>=other.distance()) def __ne__(self,other): return (self.coord[0]!=other.coord[0])&(self.coord[1]!=other.coord[1]) def distance(self): return (self.coord[0]**2+self.coord[1]**2)**0.5 if __name__=='__main__': point1 = Point2D(1,1)

27.548387

78

0.596019

122

854

3.844262

0.221311

0.211087

0.191898

0.24307

0.701493

0.667377

0.398721

0

0.036496

0.197892

854

31

79

27.548387

0.648175

0

0.190476

0

0.054971

0.045614

0

1

0.428571

false

0

0.380952

0.857143

0

null

1

0

null

0

1

0

1

0

6

1446e6c23674c2f6ec72abbe62c765cefc1103f6

37

py

Python

HelloWorld.py

Gersh2021/django_project

621554d42828207c22047c48a04ed1ac72b1ec8c

[ "MIT" ]

null

HelloWorld.py

Gersh2021/django_project

621554d42828207c22047c48a04ed1ac72b1ec8c

[ "MIT" ]

null

HelloWorld.py

Gersh2021/django_project

621554d42828207c22047c48a04ed1ac72b1ec8c

[ "MIT" ]

null

print('Welcome to Django Learinig')

12.333333

35

0.756757

5

37

5.6

1

0

0.135135

37

2

36

18.5

0.875

0

0.722222

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

14b8275094e6afa2ecc99e5bf6af1269f5706a49

2,807

py

Python

src/centralizeddictionarylearning.py

att/Distributed-Dictionary-Learning

c6915477dac1ffe7d9a732dd31333d540f5bd00b

[ "MIT" ]

5

2020-07-25T18:44:54.000Z

2022-03-27T14:14:20.000Z

src/centralizeddictionarylearning.py

att/Distributed-Dictionary-Learning

c6915477dac1ffe7d9a732dd31333d540f5bd00b

[ "MIT" ]

null

src/centralizeddictionarylearning.py

att/Distributed-Dictionary-Learning

c6915477dac1ffe7d9a732dd31333d540f5bd00b

[ "MIT" ]

3

2019-09-04T08:04:09.000Z

2022-03-27T14:14:26.000Z

import time import numpy as np from sparsecoding import sparse_encode_omp from sparsecoding import sparse_encode_nnmp from dictionaryupdate import l2_update_dict from dictionaryupdate import nnl2_update_dict def dict_learning_ksvd(X, dict_init, s, max_iter): """Solves a dictionary learning matrix factorization problem. Finds the best dictionary and the corresponding sparse code for approximating the data matrix X by solving: (D, Theta) = argmin || X - D Theta ||_F^2 with || d_k ||_2 = 1 and || theta_i ||_0 <= s where D is the dictionary and Theta is the sparse code. Parameters ---------- Inputs: X: data matrix dict_init: array of shape (n_features, n_components) s: sparsity controlling parameter max_iter: maximum number of iterations to perform Outputs: D: dictionary at every iteration """ sigdim = X.shape[0] D = np.zeros([sigdim, dict_init.shape[1], max_iter+1]) D[:,:,0] = dict_init for iters in range(max_iter): t0 = time.time() # Update coefficients coef = sparse_encode_omp(X, D[:,:,iters], s) # Update dictionary D[:,:,iters+1], coef = l2_update_dict(D[:,:,iters], X, coef) dt = time.time() - t0 print('the %dth iteration takes %f seconds' %(iters,dt)) return D def dict_learning_nnksvd(X, dict_init, s, max_iter, updatec_iter): """Solves a dictionary learning matrix factorization problem. Finds the best dictionary and the corresponding sparse code for approximating the data matrix X by solving: (D, Theta) = argmin || X - D Theta ||_F^2 with D, Theta >= 0, || d_k ||_2 = 1 and || theta_i ||_0 <= s where D is the dictionary and Theta is the sparse code. Parameters ---------- Inputs: X: data matrix dict_init: array of shape (n_features, n_components) s: sparsity controlling parameter max_iter: maximum number of iterations to perform updatec_iter: number of iterations for updating coefficients in the sparse coding Outputs: D: dictionary at every iteration """ sigdim = X.shape[0] D = np.zeros([sigdim, dict_init.shape[1], max_iter+1]) D[:,:,0] = dict_init for iters in range(max_iter): t0 = time.time() # Update coefficients coef = sparse_encode_nnmp(X, D[:,:,iters], s, updatec_iter) # Update dictionary D[:,:,iters+1], coef = nnl2_update_dict(D[:,:,iters], X, coef) dt = time.time() - t0 print('the %dth iteration takes %f seconds' %(iters,dt)) return D

35.531646

90

0.601354

371

2,807

4.407008

0.245283

0.039144

0.033028

0.034251

0.833639

0.792049

0.740673

0

0.013768

0.301389

2,807

79

91

35.531646

0.81999

0.473459

0

0.571429

0

0.055512

0

1

0.071429

false

0

0.214286

0

0.357143

0.071429

0

null

0

1

0

null

0

6

1ad6be8bccd6f92d1eb48bfedd4667f3e8354537

392

py

Python

src/train_plot.py

RosalRicardo/RTRGAN

6f4551ab8445367f8b9c711f41f15dd465abaef1

[ "MIT" ]

null

src/train_plot.py

RosalRicardo/RTRGAN

6f4551ab8445367f8b9c711f41f15dd465abaef1

[ "MIT" ]

null

src/train_plot.py

RosalRicardo/RTRGAN

6f4551ab8445367f8b9c711f41f15dd465abaef1

[ "MIT" ]

null

import train def train_plot(df, epochs, batchsize, fair_epochs, lamda, nu, S, Y, S_under, Y_desire): generator, critic, ohe, scaler, data_train, data_test, input_dim, critic_losses, gen_losses = train.train(df, S, Y, S_under, Y_desire, epochs, batchsize, fair_epochs, lamda, nu) return generator, critic, ohe, scaler, data_train, data_test, input_dim, critic_losses, gen_losses

56

181

0.75

62

392

4.467742

0.403226

0.108303

0.137184

0.180505

0.844765

0.505415

0

0.145408

392

7

182

56

0.826866

0

1

0.25

false

0

0.25

0

0.75

0

null

0

1

0

1

0

null

0

1

0

1

0

6

1aed44476811af5d207a5e79795e1754da968150

209

py

Python

mail_sender/admin.py

Kiritox0x/trp_assistant_bot

9776d3b6fc6ebccb5d6b8c0ea68c9b145dc4e06a

[ "MIT" ]

null

mail_sender/admin.py

Kiritox0x/trp_assistant_bot

9776d3b6fc6ebccb5d6b8c0ea68c9b145dc4e06a

[ "MIT" ]

null

mail_sender/admin.py

Kiritox0x/trp_assistant_bot

9776d3b6fc6ebccb5d6b8c0ea68c9b145dc4e06a

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from mail_sender.models import * admin.site.register(Bcm_room) admin.site.register(Weekreport_Teacher) admin.site.register(Weekreport_Assistant)

23.222222

41

0.832536

29

209

5.862069

0.586207

0.158824

0.3

0.317647

0

0.086124

209

8

42

26.125

0.890052

0.124402

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

1af15f017a6de5ffecb6882b47e0671bf9f55c11

49

py

Python

src/models/resnet/__init__.py

yizhe-ang/vi-lab

65a46e41845982def17e553a46be849d948f9f45

[ "MIT" ]

1

2022-02-19T17:03:18.000Z

src/models/resnet/__init__.py

lemonwaffle/vi-lab

65a46e41845982def17e553a46be849d948f9f45

[ "MIT" ]

null

src/models/resnet/__init__.py

lemonwaffle/vi-lab

65a46e41845982def17e553a46be849d948f9f45

[ "MIT" ]

null

from .modules import ResNetEncoder, ResNetDecoder

49

0.877551

5

49

8.6

1

0

0.081633

49

1

49

0.955556

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

21122cf60125f78dff73ab5b6977934e64c1668f

118

py

Python

GENBOT/code/model/__ init __.py

Snd18/GENBOT_public

a60f69749ffdf43b9b688153d5c4a3488b3a9396

[ "Apache-2.0" ]

null

GENBOT/code/model/__ init __.py

Snd18/GENBOT_public

a60f69749ffdf43b9b688153d5c4a3488b3a9396

[ "Apache-2.0" ]

null

GENBOT/code/model/__ init __.py

Snd18/GENBOT_public

a60f69749ffdf43b9b688153d5c4a3488b3a9396

[ "Apache-2.0" ]

null

import model.UserData as userdata import model.DataBase as db import model.Table as table import model.Field as field

23.6

33

0.830508

20

118

4.9

0.4

0.44898

0

0.135593

118

4

34

29.5

0.960784

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

21603a94fea2542273936e7f8fe1a9596f8505fa

85

py

Python

XPlaneSDKStub/XPLMUtilities.py

owentar/x-copilot-py

15ffa9d22fc2a906b5437d8484b4002c635085fe

[ "MIT" ]

null

XPlaneSDKStub/XPLMUtilities.py

owentar/x-copilot-py

15ffa9d22fc2a906b5437d8484b4002c635085fe

[ "MIT" ]

null

XPlaneSDKStub/XPLMUtilities.py

owentar/x-copilot-py

15ffa9d22fc2a906b5437d8484b4002c635085fe

[ "MIT" ]

null

def XPLMFindCommand(command): return 1 def XPLMCommandOnce(commandID): pass

14.166667

31

0.741176

9

85

7

0.888889

0

0.014493

0.188235

85

5

32

17

0.898551

0

1

0.5

false

0.25

0

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

dcddd753444dc30f3c8e9997a788150fe3e4eeea

7,683

py

Python

sumup_dev.py

systemdesignauthority/sumup

ecdc7f97b130ef41ad7d2b2d3b038fa8af00398f

[ "Apache-2.0" ]

null

sumup_dev.py

systemdesignauthority/sumup

ecdc7f97b130ef41ad7d2b2d3b038fa8af00398f

[ "Apache-2.0" ]

null

sumup_dev.py

systemdesignauthority/sumup

ecdc7f97b130ef41ad7d2b2d3b038fa8af00398f

[ "Apache-2.0" ]

null

import requests, json from datetime import date, timedelta #authorize url = 'https://api.sumup.com/authorize' body = '' response = requests.get( url, body, headers={'response_type': 'code', 'redirect_uri': 'https://me.sumup.com/callback', 'client_id': '5UxmEj--5f6DS-rQzPmn2hfMweDo', 'scope': 'payments transaction.history user.profile user.app-settings payment_instruments', 'state': '2cFCsY36y95lFHk4' } ) print (response) #get bearer token url = 'https://api.sumup.com/token' body = '' response = requests.post( url, headers={'Content-Type': 'application/x-www-form-urlencoded'}, data={'grant_type': 'password', 'client_id': '5UxmEj--5f6DS-rQzPmn2hfMweDo', 'username': 'simonballepsa@gmail.com', 'password': 'E8us[>m\";fy%\\UT]' } ) if(response.ok): # Loading the response data into a dict variable # json.loads takes in only binary or string variables so using content to fetch binary content # Loads (Load String) takes a Json file and converts into python data structure (dict or list, depending on JSON) jData = json.loads(response.content) #print(jData) print("The response contains {0} properties".format(jData)) print("\n") for key in jData: print (key + " : " + str(jData[key])) #store token access_token = jData['access_token'] else: # If response code is not ok (200), print the resulting http error code with description print("Failure") response.raise_for_status() print(access_token) #list transactions and get ids today = date.today() day = today - timedelta(days=7) iso = day.isoformat() requests.packages.urllib3.disable_warnings() url = 'https://api.sumup.com/v0.1/me/transactions/history' response = requests.get( url, headers={'Content-Type': 'application/json', 'Authorization': 'Bearer ' + access_token }, params={'changes_since': iso, 'limit': '10' } ) if(response.ok): # Loading the response data into a dict variable # json.loads takes in only binary or string variables so using content to fetch binary content # Loads (Load String) takes a Json file and converts into python data structure (dict or list, depending on JSON) jData = json.loads(response.content) print(jData) #print("The response contains {0} properties".format(jData)) #print("\n") #for key in jData: #if key == 'amount': # print (key + " : " + str(jData[key]) + "\n") #print (jData['items'][0]['amount']) for item in jData['items']: print(item['transaction_code']) print(item['amount']) #for idx in jData['items']: #print (idx) # print () #print jData['items']['id]'] #store token #access_token = jData['access_token'] #print (jData['timestamp']) #print (jData['amount']) #print (jData['/n']) # else: # If response code is not ok (200), print the resulting http error code with description print("Failure") response.raise_for_status() #print(access_token) #get transactions today = date.today() day = today - timedelta(days=7) iso = day.isoformat() requests.packages.urllib3.disable_warnings() url = 'https://api.sumup.com/v0.1/me/transactions' response = requests.get( url, headers={'Content-Type': 'application/json', 'Authorization': 'Bearer ' + access_token }, params={'transaction_code': 'TD63RA477P' } ) if(response.ok): # Loading the response data into a dict variable # json.loads takes in only binary or string variables so using content to fetch binary content # Loads (Load String) takes a Json file and converts into python data structure (dict or list, depending on JSON) jData = json.loads(response.content) print(jData) #print("The response contains {0} properties".format(jData)) #print("\n") #for key in jData: #if key == 'amount': # print (key + " : " + str(jData[key]) + "\n") #print (jData['items'][0]['amount']) #for item in jData['items']: # print(item['transaction_code']) # print(item['amount']) #for idx in jData['items']: #print (idx) # print () #print jData['items']['id]'] #store token #access_token = jData['access_token'] #print (jData['timestamp']) #print (jData['amount']) #print (jData['/n']) # else: # If response code is not ok (200), print the resulting http error code with description print("Failure") response.raise_for_status() #print(access_token) #dcc9b0d6-874b-4cb4-9441-3fff868ac5ca #get products from transaction id requests.packages.urllib3.disable_warnings() url = 'https://api.sumup.com/v1.0/receipts/TD63RA477P' response = requests.get( url, headers={'Content-Type': 'application/json', 'Authorization': 'Bearer ' + access_token, }, params={'mid': 'M9KS4HS4' } ) if(response.ok): # Loading the response data into a dict variable # json.loads takes in only binary or string variables so using content to fetch binary content # Loads (Load String) takes a Json file and converts into python data structure (dict or list, depending on JSON) jData = json.loads(response.content) print(jData) #print("The response contains {0} properties".format(jData)) #print("\n") #for key in jData: #if key == 'amount': # print (key + " : " + str(jData[key]) + "\n") #print (jData['items'][0]['amount']) #for item in jData['items']: # print(item['id']) #for idx in jData['items']: #print (idx) # print () #print jData['items']['id]'] #store token #access_token = jData['access_token'] #print (jData['timestamp']) #print (jData['amount']) #print (jData['/n']) # else: # If response code is not ok (200), print the resulting http error code with description print("Failure") response.raise_for_status() requests.packages.urllib3.disable_warnings() url = 'https://me.sumup.com/en-gb/reports/online-store' response = requests.get( url, headers={'Content-Type': 'application/json', 'Authorization': 'Bearer ' + access_token, }, ) if(response.ok): # Loading the response data into a dict variable # json.loads takes in only binary or string variables so using content to fetch binary content # Loads (Load String) takes a Json file and converts into python data structure (dict or list, depending on JSON) jData = json.loads(response.content) print(jData) #print("The response contains {0} properties".format(jData)) #print("\n") #for key in jData: #if key == 'amount': # print (key + " : " + str(jData[key]) + "\n") #print (jData['items'][0]['amount']) #for item in jData['items']: # print(item['id']) #for idx in jData['items']: #print (idx) # print () #print jData['items']['id]'] #store token #access_token = jData['access_token'] #print (jData['timestamp']) #print (jData['amount']) #print (jData['/n']) # else: # If response code is not ok (200), print the resulting http error code with description print("Failure") response.raise_for_status()

29.894942

115

0.604972

928

7,683

4.96444

0.163793

0.054265

0.026047

0.02952

0.86781

0.834165

0.816149

0

0.014567

0.258363

7,683

256

116

30.011719

0.793963

0.475335

0

0.574074

0

0.245856

0.028564

0

1

0

false

0.018519

0

0.018519

0.148148

0

null

0

1

0

null

0

6

b4bc32f833fef8791e3cc71fac2d219689070ee1

1,618

py

Python

malcolm/core/__init__.py

dls-controls/github-publish-test

25f6ce1af28eff9930f65e4f2c9fb0474e0b570c

[ "Apache-2.0" ]

null

malcolm/core/__init__.py

dls-controls/github-publish-test

25f6ce1af28eff9930f65e4f2c9fb0474e0b570c

[ "Apache-2.0" ]

null

malcolm/core/__init__.py

dls-controls/github-publish-test

25f6ce1af28eff9930f65e4f2c9fb0474e0b570c

[ "Apache-2.0" ]

null

# Make a nice namespace from malcolm.core.attribute import Attribute # noqa from malcolm.core.block import Block # noqa from malcolm.core.controller import Controller # noqa from malcolm.core.clientcomms import ClientComms # noqa from malcolm.core.clientcontroller import ClientController # noqa from malcolm.core.elementmap import ElementMap # noqa from malcolm.core.hook import Hook # noqa from malcolm.core.loggable import Loggable # noqa from malcolm.core.map import Map # noqa from malcolm.core.methodmeta import MethodMeta, method_takes, method_returns, \ method_only_in, REQUIRED, OPTIONAL # noqa from malcolm.core.ntscalar import NTScalar # noqa from malcolm.core.ntscalararray import NTScalarArray # noqa from malcolm.core.nttable import NTTable # noqa from malcolm.core.ntunion import NTUnion # noqa from malcolm.core.part import Part # noqa from malcolm.core.process import Process # noqa from malcolm.core.request import Request, Get, Put, Post, Subscribe, \ Unsubscribe # noqa from malcolm.core.response import Response, Return, Error, Delta, Update # noqa from malcolm.core.serializable import Serializable, serialize_object, \ deserialize_object # noqa from malcolm.core.servercomms import ServerComms # noqa from malcolm.core.spawnable import Spawnable # noqa from malcolm.core.statemachine import RunnableDeviceStateMachine, \ DefaultStateMachine # noqa from malcolm.core.syncfactory import SyncFactory # noqa from malcolm.core.table import Table # noqa from malcolm.core.tableelementmap import TableElementMap # noqa from malcolm.core.task import Task # noqa

52.193548

80

0.800371

209

1,618

6.167464

0.267943

0.221877

0.30256

0.368503

0

0.137824

1,618

31

81

52.193548

0.924014

0.093325

0

1

0

true

0

0.866667

0

0.866667

0

null

1

0

null

0

1

0

1

0

1

0

6

b4c71bf6c3fb7dd6ea0cbf6097a825bcc7a2ac64

62

py

Python

src/quill/scan/__init__.py

spin-systems/quill

b210f840e228295e41feaf4ff79f2cc8bd96889d

[ "MIT" ]

null

src/quill/scan/__init__.py

spin-systems/quill

b210f840e228295e41feaf4ff79f2cc8bd96889d

[ "MIT" ]

14

2020-11-22T09:59:08.000Z

2021-11-02T16:05:35.000Z

src/quill/scan/__init__.py

spin-systems/quill

b210f840e228295e41feaf4ff79f2cc8bd96889d

[ "MIT" ]

null

from .io import * from .lever import * from .address import *

15.5

22

0.709677

9

62

4.888889

0.555556

0.454545

0

0.193548

62

3

23

20.666667

0.88

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

2ea48275791eab4062a46e7033dcd3cf3709e92d

187

py

Python

src/lib/trains/train_factory.py

larryv/IP-Net

ab0362097c4ca7ff07763dbf2dfca028f974b014

[ "MIT" ]

66

2020-03-31T04:24:45.000Z

2022-02-22T02:55:02.000Z

src/lib/trains/train_factory.py

larryv/IP-Net

ab0362097c4ca7ff07763dbf2dfca028f974b014

[ "MIT" ]

12

2020-04-06T22:34:26.000Z

2021-11-22T07:58:53.000Z

src/lib/trains/train_factory.py

larryv/IP-Net

ab0362097c4ca7ff07763dbf2dfca028f974b014

[ "MIT" ]

8

2020-09-20T09:01:45.000Z

2022-02-22T02:55:04.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function from .ctdet import CtdetTrainer train_factory = { 'ctdet': CtdetTrainer}

18.7

38

0.823529

22

187

6.318182

0.5

0.215827

0.345324

0

0.139037

187

9

39

20.777778

0.863354

0

0.026882

0

1

0

false

0

0.666667

0

0.666667

0.166667

1

0

null

1

0

1

0

null

0

1

0

1

0

6

2584464703d0d9c136086920a97bbccca49fc2c3

7,194

py

Python

evodynamic/connection/cellular_automata.py

SocratesNFR/evodynamic

682b610096182bde2298cdca352e7b319a0e4c41

[ "Apache-2.0" ]

9

2019-06-07T22:57:07.000Z

2022-01-17T12:35:08.000Z

evodynamic/connection/cellular_automata.py

SocratesNFR/evodynamic

682b610096182bde2298cdca352e7b319a0e4c41

[ "Apache-2.0" ]

null

evodynamic/connection/cellular_automata.py

SocratesNFR/evodynamic

682b610096182bde2298cdca352e7b319a0e4c41

[ "Apache-2.0" ]

4

2020-09-02T16:17:58.000Z

2021-12-05T21:28:32.000Z

""" Connections for cellular automata """ import tensorflow.compat.v1 as tf tf.disable_v2_behavior() import numpy as np def create_count_neighbors_ca1d(width): """ Returns a list with the weights for 'neighbors' and 'center_idx' parameters of evodynamic.connection.cellular_automata.create_conn_matrix_ca1d(...). The weights are responsible to count the number of alive neighbors. Parameters ---------- width : int Neighborhood size. Returns ------- out1 : list List of weights of the neighbors. out2 : int Index of the center of the neighborhood. """ return [1 if p != width//2 else 0 for p in range(width)], width//2 def create_pattern_neighbors_ca1d(width, n_states=2): """ Returns a list with the weights for 'neighbors' and 'center_idx' parameters of evodynamic.connection.cellular_automata.create_conn_matrix_ca1d(...). The weights are responsible to calculate an unique number for each different neighborhood pattern. Parameters ---------- width : int Neighborhood size. n_states : int Number of discrete state in a cell. Returns ------- out1 : list List of weights of the neighbors. out2 : int Index of the center of the neighborhood. """ return [n_states**p for p in range(width)[::-1]], width//2 def create_conn_matrix_ca1d(name, width,\ neighbors=[4,2,1],\ center_idx=1, is_wrapped_ca = True,\ is_sparse = True): """ This function creates a connection matrix for evodynamic.connection.WeightedConnection, so it can connect the cells as in a 1D cellular automaton. Parameters ---------- name : str Name of the Tensor. width : int Neighborhood size. neighbors : list of int/float Weights for the neighbors. center_idx : int Index of the center cell in the neighborhood. is_wrapped_ca : Boolean Activates the wrapped boundary condition. is_sparse : Boolean Defines the type of Tensor variable for the connection matrix. Returns ------- out : Tensor Connection matrix for TensorFlow. """ neighbors_arr = np.array(neighbors) assert (len(neighbors_arr.shape) == 1),\ "'neighbors' must be a list or numpy.ndarray with 1 dimensions!" nodes = width idx_dict_list = [] for i in range(nodes): idx_dict_list.append({}) for ii in range(-center_idx,neighbors_arr.shape[0]-center_idx): current_neighbor_cell = neighbors_arr[ii+center_idx] if (current_neighbor_cell != 0 and (is_wrapped_ca or \ (not is_wrapped_ca and (0<=(i+ii)<width)))): idx_dict_list[-1][(i+ii)%width] = current_neighbor_cell if is_sparse: indices = [] values = [] for i, idx_dict in enumerate(idx_dict_list): for k in idx_dict: indices.append([i,k]) values.append(idx_dict[k]) initial = tf.cast(tf.SparseTensor(indices=indices, values=values,\ dense_shape=[nodes, nodes]), tf.float64) else: conn_matrix = np.zeros((nodes, nodes)) for i, idx_dict in enumerate(idx_dict_list): for k in idx_dict: conn_matrix[i,k] = idx_dict[k] initial = conn_matrix return initial if is_sparse else tf.get_variable(name, initializer=initial) def create_count_neighbors_ca2d(width, height): """ Returns a list with the weights for 'neighbors' and 'center_idx' parameters of evodynamic.connection.cellular_automata.create_conn_matrix_ca2d(...). The weights are responsible to count the number of alive neighbors. Parameters ---------- width : int Neighborhood width. height : int Neighborhood height. Returns ------- out1 : list List of weights of the neighbors. out2 : list Index of the center of the neighborhood. """ center_idx_flat = width*(height//2) + width//2 return np.array([1 if p != center_idx_flat else 0 for p in range(width*height)])\ .reshape(width,height), [width//2, height//2] def create_pattern_neighbors_ca2d(width, height, n_states=2): """ Returns a list with the weights for 'neighbors' and 'center_idx' parameters of evodynamic.connection.cellular_automata.create_conn_matrix_ca1d(...). The weights are responsible to calculate an unique number for each different neighborhood pattern. Parameters ---------- width : int Neighborhood width. height : int Neighborhood height. n_states : int Number of discrete state in a cell. Returns ------- out1 : list List of weights of the neighbors. out2 : int Index of the center of the neighborhood. """ return np.array([n_states**p for p in range(width*height)]).reshape(width,height),\ [width//2, height//2] def create_conn_matrix_ca2d(name, width, height,\ neighbors=[[0,1,0],[1,0,1],[0,1,0]],\ center_idx=[1,1], is_wrapped_ca = True,\ is_sparse = True): """ This function creates a connection matrix for evodynamic.connection.WeightedConnection, so it can connect the cells as in a 2D cellular automaton. Parameters ---------- name : str Name of the Tensor. width : int Neighborhood width. height : int Neighborhood height. neighbors : matrix or 2D list of int/float. Weights for the neighbors. center_idx : list Index of the center cell in the neighborhood. is_wrapped_ca : Boolean Activates the wrapped boundary condition. is_sparse : Boolean Defines the type of Tensor variable for the connection matrix. Returns ------- out : Tensor Connection matrix for TensorFlow. """ neighbors_arr = np.array(neighbors) assert (len(neighbors_arr.shape) == 2),\ "'neighbors' must be a list or numpy.ndarray with 2 dimensions!" assert (len(center_idx) == 2),\ "'center_idx' must be a list with 2 elements!" nodes = width* height idx_dict_list = [] for i in range(nodes): idx_dict_list.append({}) for ii in range(-center_idx[1],neighbors_arr.shape[0]-center_idx[1]): for jj in range(-center_idx[0],neighbors_arr.shape[1]-center_idx[0]): current_neighbor_cell = neighbors_arr[ii+center_idx[1], jj+center_idx[0]] if (current_neighbor_cell != 0 and (is_wrapped_ca or \ (not is_wrapped_ca and (0 <= ((i%height)+ii) < width) and \ (0 <= ((i//width)+jj) < height)))): idx_dict_list[-1][(i+ii)%width + (((i//width)+jj)%height)*width] =\ current_neighbor_cell if is_sparse: indices = [] values = [] for i, idx_dict in enumerate(idx_dict_list): for k in idx_dict: indices.append([k,i]) values.append(idx_dict[k]) initial = tf.cast(tf.SparseTensor(indices=indices, values=values,\ dense_shape=[nodes, nodes]), tf.float64) else: conn_matrix = np.zeros((nodes, nodes)) for i, idx_dict in enumerate(idx_dict_list): for k in idx_dict: conn_matrix[k,i] = idx_dict[k] initial = conn_matrix return initial if is_sparse else tf.get_variable(name, initializer=initial)

31.142857

85

0.654712

993

7,194

4.590131

0.133938

0.033787

0.024133

0.021062

0.865292

0.845327

0.83348

0.810882

0.778412

0.747696

0

0.014593

0.237976

7,194

230

86

31.278261

0.816855

0.434807

0

0.481928

0

0.044304

0

0.036145

1

0.072289

false

0

0.024096

0

0.168675

0

null

0

1

0

null

0

6

25ac55048a38c2c0f0fcd80dac8858260648a954

46

py

Python

setenv.py

kodtanactc/kodpersonal

25416dd492e4bcf60510e7744a88c740b3b55c72

[ "Apache-2.0" ]

null

setenv.py

kodtanactc/kodpersonal

25416dd492e4bcf60510e7744a88c740b3b55c72

[ "Apache-2.0" ]

null

setenv.py

kodtanactc/kodpersonal

25416dd492e4bcf60510e7744a88c740b3b55c72

[ "Apache-2.0" ]

null

RedisPwd = "7rIHpYAMRCnuE93SMTXma0pd66DQECB2"

23

45

0.869565

2

46

20

1

0

0.162791

0.065217

46

1

46

0.767442

0

0.695652

0

1

0

false

0

1

null

0

1

0

1

null

0

6

25b26c9a34fa0ea8b295cf14c434f0c497c969c3

264

py

Python

Section04_Prototype/RegularPrototype/Address.py

enriqueescobar-askida/Kinito.Python

e4c5521e771c4de0ceaf81776a4a61f7de01edb4

[ "MIT" ]

1

2020-10-20T07:41:51.000Z

Section04_Prototype/RegularPrototype/Address.py

enriqueescobar-askida/Kinito.Python

e4c5521e771c4de0ceaf81776a4a61f7de01edb4

[ "MIT" ]

null

Section04_Prototype/RegularPrototype/Address.py

enriqueescobar-askida/Kinito.Python

e4c5521e771c4de0ceaf81776a4a61f7de01edb4

[ "MIT" ]

null

class Address: def __init__(self, street_address, city, country): self.country = country self.city = city self.street_address = street_address def __str__(self): return f'{self.street_address}, {self.city}, {self.country}'

29.333333

68

0.651515

32

264

5

0.34375

0.325

0.31875

0

0.238636

264

8

69

33

0.79602

0

0.189394

0.083333

0

1

0.285714

false

0

0.142857

0.571429

0

null

1

0

1

0

null

0

1

0

1

0

6

25ce56d35da32880b6b5c64fe2bccbcbb16795ab

80

py

Python

elabjournal/elabjournal/SampleMetas.py

matthijsbrouwer/elabjournal-python

4063b01993f0bf17ea2857009c1bedc5ace8b87b

[ "Apache-2.0" ]

2

2021-06-29T11:17:27.000Z

2022-01-11T18:41:49.000Z

elabjournal/elabjournal/SampleMetas.py

matthijsbrouwer/elabjournal-python

4063b01993f0bf17ea2857009c1bedc5ace8b87b

[ "Apache-2.0" ]

null

elabjournal/elabjournal/SampleMetas.py

matthijsbrouwer/elabjournal-python

4063b01993f0bf17ea2857009c1bedc5ace8b87b

[ "Apache-2.0" ]

1

2019-06-06T13:23:11.000Z

from .eLABJournalPager import * class SampleMetas(eLABJournalPager): pass

13.333333

36

0.775

7

80

8.857143

0.857143

0

0.1625

80

6

37

13.333333

0.925373

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

25eba5b91cbf6c02ccdff69efd0d18aaf1b9d75e

138

py

Python

common/aist_common/grammar/qualifier_classifier.py

sfahad1414/AGENT

84069edc96b6190bb03ffd5099cbc8966061a563

[ "Apache-2.0" ]

15

2020-05-06T16:17:56.000Z

2022-03-30T12:25:16.000Z

common/aist_common/grammar/qualifier_classifier.py

dionny/AGENT

8a833406b590e23623fcc67db99f6f964d002396

[ "Apache-2.0" ]

2

2021-08-25T16:17:16.000Z

2022-02-10T06:35:58.000Z

common/aist_common/grammar/qualifier_classifier.py

dionny/AGENT

8a833406b590e23623fcc67db99f6f964d002396

[ "Apache-2.0" ]

7

2020-04-07T18:47:55.000Z

2022-03-30T12:14:58.000Z

class QualifierClassifier: def __init__(self): pass @staticmethod def get_qualifiers(act_state): return {}

13.8

34

0.630435

13

138

6.230769

0.923077

0

0.297101

138

9

35

15.333333

0.835052

0

1

0.333333

false

0.166667

0

0.166667

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

d32d57d92da53548112e980f62e724fabccdd263

20

py

Python

MLSol/__init__.py

nicholaslaw/MLSol

72e4a0195e5a2ec2a0ef5cb9c4fed949e39296e9

[ "Apache-2.0" ]

1

2021-01-29T12:37:31.000Z

MLSol/__init__.py

nicholaslaw/MLSol

72e4a0195e5a2ec2a0ef5cb9c4fed949e39296e9

[ "Apache-2.0" ]

null

MLSol/__init__.py

nicholaslaw/MLSol

72e4a0195e5a2ec2a0ef5cb9c4fed949e39296e9

[ "Apache-2.0" ]

null

from .mlsol import *

20

0.75

3

20

5

1

0

0.15

20

1

20

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

d358dba4713d26fae0f7360f2dece69ff72e1013

2,841

py

Python

opencl/test_fitness.py

vyscond/sliding-puzzle-problem

4f79bde560abda61e3d14ba00dadef936a423926

[ "MIT" ]

null

opencl/test_fitness.py

vyscond/sliding-puzzle-problem

4f79bde560abda61e3d14ba00dadef936a423926

[ "MIT" ]

null

opencl/test_fitness.py

vyscond/sliding-puzzle-problem

4f79bde560abda61e3d14ba00dadef936a423926

[ "MIT" ]

null

from lordran import platform_selector as ps from lordran import sliding_puzzle_parallel as spp def init_pop( context , random_list , puzzle ): return spp.InitialPopulationGeneratorEnhanced( context ).execute( ps.Execution.ASYNC , random_list , [ -1 , puzzle.move_top , 1 , puzzle.move_bot ] ) if __name__ == '__main__' : #~ puzzle = spp.Puzzle( range( 9 ) ) puzzle = spp.Puzzle( [1,0,2,3,4,5,6,7,8] ) context = ps.get_intel_context() import time cpu_avg_time = 0 for i in range(1): population , offset_list , max_chromossome_size = init_pop( context , [ 10000 for i in range(10000)] , puzzle ) a = time.time() # ( self , execution_mode , chromossome_list , chromossome_offset_list , chromossome_max_size , problem_instance ): #~ spp.FitnessEnhanced( context , True ).execute( 0 , population , offset_list , max_chromossome_size , [1,0,2,3,4,5,6,7,8] ) #fitness_results , chromossome_list , chromossome_offset_list = spp.FitnessEnhanced( context , False ).execute( 0 , population , offset_list , max_chromossome_size , puzzle ) a = time.time() - a cpu_avg_time += ( a / 60 ) #~ for x in fitness_results : #~ print x # this is the last thing that you need to do ;) # implement on CPU DEBUG RP fitness, ok? VryHppy :3 # ( invalid_positions_remaining ** 4 ) - ( valid_moves_qtt * 2 ) cpu_avg_time = cpu_avg_time / 1000 gpu_avg_time = 0 context = ps.get_nvidia_cuda_context() for i in range(1): population , offset_list , max_chromossome_size = init_pop( context , [ 10000 for i in range(10000)] , puzzle ) a = time.time() # ( self , execution_mode , chromossome_list , chromossome_offset_list , chromossome_max_size , problem_instance ): #~ spp.FitnessEnhanced( context , True ).execute( 0 , population , offset_list , max_chromossome_size , [1,0,2,3,4,5,6,7,8] ) #fitness_results , chromossome_list , chromossome_offset_list = spp.FitnessEnhanced( context , False ).execute( 0 , population , offset_list , max_chromossome_size , puzzle ) a = time.time() - a gpu_avg_time += ( a / 60 ) #~ for x in fitness_results : #~ print x # this is the last thing that you need to do ;) # implement on CPU DEBUG RP fitness, ok? VryHppy :3 # ( invalid_positions_remaining ** 4 ) - ( valid_moves_qtt * 2 ) gpu_avg_time = gpu_avg_time / 1000 print 'cpu : ' , cpu_avg_time print 'gpu : ' , gpu_avg_time print 'gain: ' , (cpu_avg_time / gpu_avg_time)

33.821429

153

0.597677

355

2,841

4.509859

0.261972

0.052467

0.037477

0.086196

0.725172

0.703935

0.698314

0

0.038598

0.306934

2,841

83

154

34.228916

0.774505

0.362196

0

0.357143

0

0.014493

0

null

0

0.107143

null

0.107143

0

null

0

1

0

null

0

1

0

6

d371c9a5c1360127a63b8834006342b9636e826b

56,702

py

Python

cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_ncs5500_coherent_node_oper.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

[ "ECL-2.0", "Apache-2.0" ]

null

cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_ncs5500_coherent_node_oper.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

[ "ECL-2.0", "Apache-2.0" ]

null

cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_ncs5500_coherent_node_oper.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

[ "ECL-2.0", "Apache-2.0" ]

null

import re import collections from enum import Enum from ydk._core._dm_meta_info import _MetaInfoClassMember, _MetaInfoClass, _MetaInfoEnum from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict from ydk._core._dm_meta_info import ATTRIBUTE, REFERENCE_CLASS, REFERENCE_LIST, REFERENCE_LEAFLIST, REFERENCE_IDENTITY_CLASS, REFERENCE_ENUM_CLASS, REFERENCE_BITS, REFERENCE_UNION from ydk.errors import YPYError, YPYModelError from ydk.providers._importer import _yang_ns _meta_table = { 'Coherent.Nodes.Node.CoherentTimeStats.OptsEaBulkCreate' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.OptsEaBulkCreate', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'opts-ea-bulk-create', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.OptsEaBulkUpdate' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.OptsEaBulkUpdate', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'opts-ea-bulk-update', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.DspEaBulkCreate' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.DspEaBulkCreate', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'dsp-ea-bulk-create', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.DspEaBulkUpdate' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.DspEaBulkUpdate', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'dsp-ea-bulk-update', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.LaserOnStats' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.PortStat.LaserOnStats', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'laser-on-stats', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.LaserOffStats' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.PortStat.LaserOffStats', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'laser-off-stats', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.WlOpStats' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.PortStat.WlOpStats', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'wl-op-stats', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.TxpwrOpStats' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.PortStat.TxpwrOpStats', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'txpwr-op-stats', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.CdminOpStats' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.PortStat.CdminOpStats', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'cdmin-op-stats', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.CdmaxOpStats' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.PortStat.CdmaxOpStats', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'cdmax-op-stats', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.TraffictypeOpStats' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.PortStat.TraffictypeOpStats', False, [ _MetaInfoClassMember('end', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' end ''', 'end', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('start', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' start ''', 'start', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('time-taken', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' time taken ''', 'time_taken', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('worst-time', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' worst time ''', 'worst_time', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'traffictype-op-stats', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats.PortStat' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats.PortStat', False, [ _MetaInfoClassMember('cd-max', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' cd max ''', 'cd_max', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('cd-min', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' cd min ''', 'cd_min', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('cdmax-op-stats', REFERENCE_CLASS, 'CdmaxOpStats' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.CdmaxOpStats', [], [], ''' cdmax op stats ''', 'cdmax_op_stats', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('cdmin-op-stats', REFERENCE_CLASS, 'CdminOpStats' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.CdminOpStats', [], [], ''' cdmin op stats ''', 'cdmin_op_stats', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('laser-off-stats', REFERENCE_CLASS, 'LaserOffStats' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.LaserOffStats', [], [], ''' laser off stats ''', 'laser_off_stats', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('laser-on-stats', REFERENCE_CLASS, 'LaserOnStats' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.LaserOnStats', [], [], ''' laser on stats ''', 'laser_on_stats', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('laser-state', ATTRIBUTE, 'bool' , None, None, [], [], ''' laser state ''', 'laser_state', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('traffic-type', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' traffic type ''', 'traffic_type', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('traffictype-op-stats', REFERENCE_CLASS, 'TraffictypeOpStats' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.TraffictypeOpStats', [], [], ''' traffictype op stats ''', 'traffictype_op_stats', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('tx-power', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' tx power ''', 'tx_power', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('txpwr-op-stats', REFERENCE_CLASS, 'TxpwrOpStats' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.TxpwrOpStats', [], [], ''' txpwr op stats ''', 'txpwr_op_stats', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('wavelength', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' wavelength ''', 'wavelength', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('wl-op-stats', REFERENCE_CLASS, 'WlOpStats' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.PortStat.WlOpStats', [], [], ''' wl op stats ''', 'wl_op_stats', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'port-stat', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.CoherentTimeStats' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.CoherentTimeStats', False, [ _MetaInfoClassMember('device-created', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' device created ''', 'device_created', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('driver-init', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' driver init ''', 'driver_init', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('driver-operational', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' driver operational ''', 'driver_operational', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('dsp-controllers-created', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' dsp controllers created ''', 'dsp_controllers_created', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('dsp-ea-bulk-create', REFERENCE_CLASS, 'DspEaBulkCreate' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.DspEaBulkCreate', [], [], ''' dsp ea bulk create ''', 'dsp_ea_bulk_create', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('dsp-ea-bulk-update', REFERENCE_CLASS, 'DspEaBulkUpdate' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.DspEaBulkUpdate', [], [], ''' dsp ea bulk update ''', 'dsp_ea_bulk_update', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('eth-intf-created', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' eth intf created ''', 'eth_intf_created', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('optics-controllers-created', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' optics controllers created ''', 'optics_controllers_created', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('opts-ea-bulk-create', REFERENCE_CLASS, 'OptsEaBulkCreate' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.OptsEaBulkCreate', [], [], ''' opts ea bulk create ''', 'opts_ea_bulk_create', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('opts-ea-bulk-update', REFERENCE_CLASS, 'OptsEaBulkUpdate' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.OptsEaBulkUpdate', [], [], ''' opts ea bulk update ''', 'opts_ea_bulk_update', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('port-stat', REFERENCE_LIST, 'PortStat' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats.PortStat', [], [], ''' port stat ''', 'port_stat', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False, max_elements=6), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'coherent-time-stats', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.Devicemapping.DevMap' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.Devicemapping.DevMap', False, [ _MetaInfoClassMember('device-address', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' Device address ''', 'device_address', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('ifhandle', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' Interface handle ''', 'ifhandle', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('intf-name', ATTRIBUTE, 'str' , None, None, [], [], ''' Interface Name ''', 'intf_name', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'dev-map', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.Devicemapping' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.Devicemapping', False, [ _MetaInfoClassMember('dev-map', REFERENCE_LIST, 'DevMap' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.Devicemapping.DevMap', [], [], ''' dev map ''', 'dev_map', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False, max_elements=32), _MetaInfoClassMember('num-entries', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' Number of dev map entries ''', 'num_entries', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'devicemapping', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.Coherenthealth.PortData.CtpInfo' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.Coherenthealth.PortData.CtpInfo', False, [ _MetaInfoClassMember('clei-code-number', ATTRIBUTE, 'str' , None, None, [(0, 10)], [], ''' CLEI code number ''', 'clei_code_number', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('ctp-type', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' ctp type ''', 'ctp_type', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('date-code-number', ATTRIBUTE, 'str' , None, None, [(0, 10)], [], ''' date code number ''', 'date_code_number', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('description', ATTRIBUTE, 'str' , None, None, [(0, 64)], [], ''' description ''', 'description', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('deviation', ATTRIBUTE, 'str' , None, None, [(0, 16)], [], ''' deviation ''', 'deviation', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('module-firmware-committed-version-number', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' module firmware committed version number ''', 'module_firmware_committed_version_number', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('module-firmware-running-version-number', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' module firmware running version number ''', 'module_firmware_running_version_number', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('module-hardware-version-number', ATTRIBUTE, 'int' , None, None, [('0', '65535')], [], ''' module hardware version number ''', 'module_hardware_version_number', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('part-number', ATTRIBUTE, 'str' , None, None, [(0, 16)], [], ''' part number ''', 'part_number', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('pid', ATTRIBUTE, 'str' , None, None, [(0, 16)], [], ''' pid ''', 'pid', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('serial-number', ATTRIBUTE, 'str' , None, None, [(0, 16)], [], ''' serial number ''', 'serial_number', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('vendorname', ATTRIBUTE, 'str' , None, None, [(0, 16)], [], ''' vendorname ''', 'vendorname', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('vid', ATTRIBUTE, 'str' , None, None, [(0, 16)], [], ''' vid ''', 'vid', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'ctp-info', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.Coherenthealth.PortData.InterfaceInfo.EthData' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.Coherenthealth.PortData.InterfaceInfo.EthData', False, [ _MetaInfoClassMember('admin-state', ATTRIBUTE, 'bool' , None, None, [], [], ''' admin state ''', 'admin_state', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('ifname', ATTRIBUTE, 'str' , None, None, [(0, 64)], [], ''' ifname ''', 'ifname', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('intf-handle', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' intf handle ''', 'intf_handle', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'eth-data', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.Coherenthealth.PortData.InterfaceInfo' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.Coherenthealth.PortData.InterfaceInfo', False, [ _MetaInfoClassMember('eth-data', REFERENCE_LIST, 'EthData' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.Coherenthealth.PortData.InterfaceInfo.EthData', [], [], ''' eth data ''', 'eth_data', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False, max_elements=2), _MetaInfoClassMember('intf-count', ATTRIBUTE, 'int' , None, None, [('-2147483648', '2147483647')], [], ''' intf count ''', 'intf_count', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'interface-info', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.Coherenthealth.PortData' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.Coherenthealth.PortData', False, [ _MetaInfoClassMember('ctp-info', REFERENCE_CLASS, 'CtpInfo' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.Coherenthealth.PortData.CtpInfo', [], [], ''' ctp info ''', 'ctp_info', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('dsp-admin-up', ATTRIBUTE, 'bool' , None, None, [], [], ''' dsp admin up ''', 'dsp_admin_up', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('dsp-ctrl-created', ATTRIBUTE, 'bool' , None, None, [], [], ''' dsp ctrl created ''', 'dsp_ctrl_created', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('fp-port-idx', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' fp port idx ''', 'fp_port_idx', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('has-pluggable', ATTRIBUTE, 'bool' , None, None, [], [], ''' has pluggable ''', 'has_pluggable', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('interface-info', REFERENCE_CLASS, 'InterfaceInfo' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.Coherenthealth.PortData.InterfaceInfo', [], [], ''' interface info ''', 'interface_info', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('laser-op-rc', ATTRIBUTE, 'int' , None, None, [('-2147483648', '2147483647')], [], ''' laser op rc ''', 'laser_op_rc', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('laser-state', ATTRIBUTE, 'bool' , None, None, [], [], ''' laser state ''', 'laser_state', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('optics-admin-up', ATTRIBUTE, 'bool' , None, None, [], [], ''' optics admin up ''', 'optics_admin_up', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('optics-ctrl-created', ATTRIBUTE, 'bool' , None, None, [], [], ''' optics ctrl created ''', 'optics_ctrl_created', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('traffic-op-rc', ATTRIBUTE, 'int' , None, None, [('-2147483648', '2147483647')], [], ''' traffic op rc ''', 'traffic_op_rc', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('traffic-type', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' traffic type ''', 'traffic_type', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('wavelength', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' wavelength ''', 'wavelength', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('wlen-op-rc', ATTRIBUTE, 'int' , None, None, [('-2147483648', '2147483647')], [], ''' wlen op rc ''', 'wlen_op_rc', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'port-data', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.Coherenthealth' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.Coherenthealth', False, [ _MetaInfoClassMember('aipc-srvr-state', ATTRIBUTE, 'bool' , None, None, [], [], ''' aipc srvr state ''', 'aipc_srvr_state', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('board-type', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' board type ''', 'board_type', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('denali-version', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' denali version ''', 'denali_version', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('dsp-ea-conn', ATTRIBUTE, 'bool' , None, None, [], [], ''' dsp ea conn ''', 'dsp_ea_conn', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('im-state', ATTRIBUTE, 'bool' , None, None, [], [], ''' im state ''', 'im_state', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('jlink-op', ATTRIBUTE, 'str' , None, None, [(0, 1024)], [], ''' jlink op ''', 'jlink_op', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('morgoth-alive', ATTRIBUTE, 'bool' , None, None, [], [], ''' morgoth alive ''', 'morgoth_alive', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('morgoth-downloaded-version', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' morgoth downloaded version ''', 'morgoth_downloaded_version', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('morgoth-golden-version', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' morgoth golden version ''', 'morgoth_golden_version', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('morgoth-running-version', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' morgoth running version ''', 'morgoth_running_version', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('optics-ea-conn', ATTRIBUTE, 'bool' , None, None, [], [], ''' optics ea conn ''', 'optics_ea_conn', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('pm-state', ATTRIBUTE, 'bool' , None, None, [], [], ''' pm state ''', 'pm_state', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('port-data', REFERENCE_LIST, 'PortData' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.Coherenthealth.PortData', [], [], ''' port data ''', 'port_data', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False, max_elements=6), _MetaInfoClassMember('prov-infra-state', ATTRIBUTE, 'bool' , None, None, [], [], ''' prov infra state ''', 'prov_infra_state', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('sdk-fpga-compatible', ATTRIBUTE, 'bool' , None, None, [], [], ''' sdk fpga compatible ''', 'sdk_fpga_compatible', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('sdk-version', ATTRIBUTE, 'str' , None, None, [(0, 255)], [], ''' sdk version ''', 'sdk_version', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('sysdb-state', ATTRIBUTE, 'bool' , None, None, [], [], ''' sysdb state ''', 'sysdb_state', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('vether-state', ATTRIBUTE, 'bool' , None, None, [], [], ''' vether state ''', 'vether_state', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'coherenthealth', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.PortModeAllInfo.PortmodeEntry' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.PortModeAllInfo.PortmodeEntry', False, [ _MetaInfoClassMember('diff', ATTRIBUTE, 'str' , None, None, [], [], ''' Optics diff ''', 'diff', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('fec', ATTRIBUTE, 'str' , None, None, [], [], ''' Optics fec ''', 'fec', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('intf-name', ATTRIBUTE, 'str' , None, None, [], [], ''' Interface Name ''', 'intf_name', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('modulation', ATTRIBUTE, 'str' , None, None, [], [], ''' Optics modulation ''', 'modulation', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('speed', ATTRIBUTE, 'str' , None, None, [], [], ''' Optics speed ''', 'speed', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'portmode-entry', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node.PortModeAllInfo' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node.PortModeAllInfo', False, [ _MetaInfoClassMember('num-entries', ATTRIBUTE, 'int' , None, None, [('0', '4294967295')], [], ''' Number of dev map entries ''', 'num_entries', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('portmode-entry', REFERENCE_LIST, 'PortmodeEntry' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.PortModeAllInfo.PortmodeEntry', [], [], ''' portmode entry ''', 'portmode_entry', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False, max_elements=32), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'port-mode-all-info', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes.Node' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes.Node', False, [ _MetaInfoClassMember('node-name', ATTRIBUTE, 'str' , None, None, [], ['([a-zA-Z0-9_]*\\d+/){1,2}([a-zA-Z0-9_]*\\d+)'], ''' The node name ''', 'node_name', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', True), _MetaInfoClassMember('coherent-time-stats', REFERENCE_CLASS, 'CoherentTimeStats' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.CoherentTimeStats', [], [], ''' Coherent driver performace information ''', 'coherent_time_stats', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('coherenthealth', REFERENCE_CLASS, 'Coherenthealth' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.Coherenthealth', [], [], ''' Coherent node data for driver health ''', 'coherenthealth', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('devicemapping', REFERENCE_CLASS, 'Devicemapping' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.Devicemapping', [], [], ''' Coherent node data for device _mapping ''', 'devicemapping', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), _MetaInfoClassMember('port-mode-all-info', REFERENCE_CLASS, 'PortModeAllInfo' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node.PortModeAllInfo', [], [], ''' PortMode all operational data ''', 'port_mode_all_info', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'node', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent.Nodes' : { 'meta_info' : _MetaInfoClass('Coherent.Nodes', False, [ _MetaInfoClassMember('node', REFERENCE_LIST, 'Node' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes.Node', [], [], ''' Coherent discovery operational data for a particular node ''', 'node', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'nodes', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, 'Coherent' : { 'meta_info' : _MetaInfoClass('Coherent', False, [ _MetaInfoClassMember('nodes', REFERENCE_CLASS, 'Nodes' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper', 'Coherent.Nodes', [], [], ''' Coherent list of nodes ''', 'nodes', 'Cisco-IOS-XR-ncs5500-coherent-node-oper', False), ], 'Cisco-IOS-XR-ncs5500-coherent-node-oper', 'coherent', _yang_ns._namespaces['Cisco-IOS-XR-ncs5500-coherent-node-oper'], 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs5500_coherent_node_oper' ), }, } _meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat.LaserOnStats']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat.LaserOffStats']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat.WlOpStats']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat.TxpwrOpStats']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat.CdminOpStats']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat.CdmaxOpStats']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat.TraffictypeOpStats']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.OptsEaBulkCreate']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.OptsEaBulkUpdate']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.DspEaBulkCreate']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.DspEaBulkUpdate']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats.PortStat']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.CoherentTimeStats']['meta_info'] _meta_table['Coherent.Nodes.Node.Devicemapping.DevMap']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.Devicemapping']['meta_info'] _meta_table['Coherent.Nodes.Node.Coherenthealth.PortData.InterfaceInfo.EthData']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.Coherenthealth.PortData.InterfaceInfo']['meta_info'] _meta_table['Coherent.Nodes.Node.Coherenthealth.PortData.CtpInfo']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.Coherenthealth.PortData']['meta_info'] _meta_table['Coherent.Nodes.Node.Coherenthealth.PortData.InterfaceInfo']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.Coherenthealth.PortData']['meta_info'] _meta_table['Coherent.Nodes.Node.Coherenthealth.PortData']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.Coherenthealth']['meta_info'] _meta_table['Coherent.Nodes.Node.PortModeAllInfo.PortmodeEntry']['meta_info'].parent =_meta_table['Coherent.Nodes.Node.PortModeAllInfo']['meta_info'] _meta_table['Coherent.Nodes.Node.CoherentTimeStats']['meta_info'].parent =_meta_table['Coherent.Nodes.Node']['meta_info'] _meta_table['Coherent.Nodes.Node.Devicemapping']['meta_info'].parent =_meta_table['Coherent.Nodes.Node']['meta_info'] _meta_table['Coherent.Nodes.Node.Coherenthealth']['meta_info'].parent =_meta_table['Coherent.Nodes.Node']['meta_info'] _meta_table['Coherent.Nodes.Node.PortModeAllInfo']['meta_info'].parent =_meta_table['Coherent.Nodes.Node']['meta_info'] _meta_table['Coherent.Nodes.Node']['meta_info'].parent =_meta_table['Coherent.Nodes']['meta_info'] _meta_table['Coherent.Nodes']['meta_info'].parent =_meta_table['Coherent']['meta_info']

49.738596

233

0.503051

4,886

56,702

5.633238

0.043185

0.082837

0.103546

0.145764

0.870767

0.84588

0.819612

0.78179

0.72573

0.684966

0

0.04032

0.357024

56,702

1,139

234

49.782265

0.714631

0

0.539235

0

0.001006

0.419841

0.324952

0

1

0

false

0

0.008048

0

0.008048

0

null

0

1

0

null

0

6

d398da1a4c2daee667a87648532c8c8ca0232439

128

py

Python

vestaboard/vbUrls.py

Xaelias/Vestaboard

a1bc7b6efe6b2ad49079e851c09542c2b9452409

[ "MIT" ]

19

2020-04-17T04:59:41.000Z

2022-01-27T23:21:28.000Z

vestaboard/vbUrls.py

Xaelias/Vestaboard

a1bc7b6efe6b2ad49079e851c09542c2b9452409

[ "MIT" ]

11

2020-04-17T04:59:19.000Z

2022-01-07T00:18:34.000Z

vestaboard/vbUrls.py

Xaelias/Vestaboard

a1bc7b6efe6b2ad49079e851c09542c2b9452409

[ "MIT" ]

10

2021-02-08T18:35:23.000Z

2022-01-27T23:21:23.000Z

subscription = 'https://platform.vestaboard.com/subscriptions' post = "https://platform.vestaboard.com/subscriptions/{}/message"

64

65

0.789063

13

128

7.769231

0.615385

0.257426

0.455446

0.514851

0.772277

0

0.039063

128

2

65

64

0.821138

0

0.782946

0

1

0

false

0

1

0

null

1

0

1

0

1

0

null

0

6

6ca1d9b37d35e8a105a9ff80d0e5c78f8aa49f79

177

py

Python

udiary/udiaryapp/views.py

michaelzadra1/udiary

3acaf154173971e2702307218105c8961c00771a

[ "MIT" ]

null

udiary/udiaryapp/views.py

michaelzadra1/udiary

3acaf154173971e2702307218105c8961c00771a

[ "MIT" ]

null

udiary/udiaryapp/views.py

michaelzadra1/udiary

3acaf154173971e2702307218105c8961c00771a

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse # Create your views here. def index(request): return HttpResponse("Hello world. Welcome to uDiary!")

22.125

55

0.79096

24

177

5.833333

0.833333

0.142857

0

0.135593

177

7

56

25.285714

0.915033

0.129944

0

0.203947

0

1

0.25

false

0

0.5

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

6ce4437d9f2bf91d703787cb2b60ea9bfbaa80d1

92

py

Python

memformer/__init__.py

lucidrains/memformer

c8f9a97f8b3fc7a90c21f5d3ae911499bf13e50a

[ "MIT" ]

62

2020-10-10T04:56:17.000Z

2022-02-18T21:17:14.000Z

memformer/__init__.py

lucidrains/memformer

c8f9a97f8b3fc7a90c21f5d3ae911499bf13e50a

[ "MIT" ]

3

2020-10-30T17:59:35.000Z

2021-07-09T09:43:24.000Z

memformer/__init__.py

lucidrains/memformer

c8f9a97f8b3fc7a90c21f5d3ae911499bf13e50a

[ "MIT" ]

4

2020-10-30T15:31:00.000Z

2022-01-18T10:23:27.000Z

from memformer.memformer import Memformer from memformer.mrbp import memory_replay_backprop

30.666667

49

0.891304

12

92

6.666667

0.583333

0.325

0

0.086957

92

2

50

46

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

9f11818b506c169e7a9be67d144ab57cece4bef5

374

py

Python

src/hello.py

kabrezi/bstrip

9386c79434c892d0dbef1263b9f7f1adb598bb5f

[ "Apache-2.0" ]

null

src/hello.py

kabrezi/bstrip

9386c79434c892d0dbef1263b9f7f1adb598bb5f

[ "Apache-2.0" ]

null

src/hello.py

kabrezi/bstrip

9386c79434c892d0dbef1263b9f7f1adb598bb5f

[ "Apache-2.0" ]

null

import os OAL = 4 print('sudo /home/pi/bstrip/src/Cutwire1.py -a advance_' + str(OAL)) def main(): os.system('sudo /home/pi/bstrip/src/Cutwire1.py -a advance_' + str(OAL)) main() #os.system('sudo /home/pi/bstrip/src/Cutwire1.py -l ' + OAL[0] + ' -s ' + Strip_A[0] + ' -c ' + Stip_B[0] + ' -n ' + Quantity[0]) #main() #sudo /home/pi/bstrip/src/Cutwire1.py -a advance_4

31.166667

129

0.631016

66

374

3.5

0.409091

0.138528

0.17316

0.277056

0.761905

0.601732

0

0.031348

0.147059

374

12

130

31.166667

0.69279

0.489305

0

0.510638

0.329787

0

1

0.166667

false

0

0.166667

0

0.333333

0.166667

0

null

0

1

0

1

0

null

0

6

9f1d60b83d1826a4e62e9336d7e7bf4d03d90672

11,128

py

Python

kolibri/core/content/test/test_upgrade.py

MBKayro/kolibri

0a38a5fb665503cf8f848b2f65938e73bfaa5989

[ "MIT" ]

545

2016-01-19T19:26:55.000Z

2022-03-20T00:13:04.000Z

kolibri/core/content/test/test_upgrade.py

MBKayro/kolibri

0a38a5fb665503cf8f848b2f65938e73bfaa5989

[ "MIT" ]

8,329

2016-01-19T19:32:02.000Z

2022-03-31T21:23:12.000Z

kolibri/core/content/test/test_upgrade.py

MBKayro/kolibri

0a38a5fb665503cf8f848b2f65938e73bfaa5989

[ "MIT" ]

493

2016-01-19T19:26:48.000Z

2022-03-28T14:35:05.000Z

import tempfile import uuid from django.core.management import call_command from django.test import TransactionTestCase from le_utils.constants import content_kinds from mock import call from mock import patch from .sqlalchemytesting import django_connection_engine from kolibri.core.content.constants.schema_versions import CONTENT_SCHEMA_VERSION from kolibri.core.content.models import ChannelMetadata from kolibri.core.content.models import ContentNode from kolibri.core.content.upgrade import fix_multiple_trees_with_tree_id1 from kolibri.core.content.upgrade import update_num_coach_contents def get_engine(connection_string): return django_connection_engine() test_channel_id = "6199dde695db4ee4ab392222d5af1e5c" mock_content_file = tempfile.mkstemp() mock_content_db_file = tempfile.mkstemp() @patch("kolibri.core.content.upgrade.import_channel_from_local_db") class FixMultipleTreesWithId1TestCase(TransactionTestCase): fixtures = ["content_test.json"] def execute(self): fix_multiple_trees_with_tree_id1() @patch( "kolibri.core.content.upgrade.get_content_database_file_path", return_value=mock_content_file[1], ) def test_extra_channel_contentdb_exists(self, path_mock, import_mock): root_node = ContentNode.objects.create( title="test", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=uuid.uuid4().hex, ) ChannelMetadata.objects.create( id=root_node.channel_id, root=root_node, name="test", min_schema_version=CONTENT_SCHEMA_VERSION, ) # Do this to side step django mptts auto tree_id code ContentNode.objects.filter(parent=None).update(tree_id=1) self.assertEqual(ContentNode.objects.filter(parent=None, tree_id=1).count(), 2) self.execute() self.assertEqual(ContentNode.objects.filter(parent=None, tree_id=1).count(), 1) import_mock.assert_called_with(root_node.channel_id) @patch( "kolibri.core.content.upgrade.get_content_database_file_path", return_value=mock_content_file[1], ) def test_two_extra_channels_contentdb_exists(self, path_mock, import_mock): root_node_1 = ContentNode.objects.create( title="test", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=uuid.uuid4().hex, ) ChannelMetadata.objects.create( id=root_node_1.channel_id, root=root_node_1, name="test", min_schema_version=CONTENT_SCHEMA_VERSION, ) root_node_2 = ContentNode.objects.create( title="test", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=uuid.uuid4().hex, ) # Add an additional node so that root_node_1 channel is processed first. ContentNode.objects.create( title="test1", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=root_node_2.channel_id, parent=root_node_2, ) ChannelMetadata.objects.create( id=root_node_2.channel_id, root=root_node_2, name="test", min_schema_version=CONTENT_SCHEMA_VERSION, ) # Do this to side step django mptts auto tree_id code ContentNode.objects.filter(parent=None).update(tree_id=1) self.assertEqual(ContentNode.objects.filter(parent=None, tree_id=1).count(), 3) self.execute() self.assertEqual(ContentNode.objects.filter(parent=None, tree_id=1).count(), 1) import_mock.assert_has_calls( [call(root_node_1.channel_id), call(root_node_2.channel_id)] ) @patch( "kolibri.core.content.upgrade.get_content_database_file_path", return_value="" ) def test_extra_channel_no_contentdb_exists(self, path_mock, import_mock): root_node = ContentNode.objects.create( title="test", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=uuid.uuid4().hex, ) ChannelMetadata.objects.create( id=root_node.channel_id, root=root_node, name="test", min_schema_version=CONTENT_SCHEMA_VERSION, ) # Do this to side step django mptts auto tree_id code ContentNode.objects.filter(parent=None).update(tree_id=1) self.assertEqual(ContentNode.objects.filter(parent=None, tree_id=1).count(), 2) self.execute() self.assertEqual(ContentNode.objects.filter(parent=None, tree_id=1).count(), 2) import_mock.assert_not_called() @patch( "kolibri.core.content.upgrade.get_content_database_file_path", side_effect=["", mock_content_file[1]], ) def test_two_extra_channels_one_contentdb_exists(self, path_mock, import_mock): root_node_1 = ContentNode.objects.create( title="test", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=uuid.uuid4().hex, ) ChannelMetadata.objects.create( id=root_node_1.channel_id, root=root_node_1, name="test", min_schema_version=CONTENT_SCHEMA_VERSION, ) root_node_2 = ContentNode.objects.create( title="test", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=uuid.uuid4().hex, ) # Add an additional node so that root_node_1 channel is processed first. ContentNode.objects.create( title="test1", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=root_node_2.channel_id, parent=root_node_2, ) ChannelMetadata.objects.create( id=root_node_2.channel_id, root=root_node_2, name="test", min_schema_version=CONTENT_SCHEMA_VERSION, ) # Do this to side step django mptts auto tree_id code ContentNode.objects.filter(parent=None).update(tree_id=1) self.assertEqual(ContentNode.objects.filter(parent=None, tree_id=1).count(), 3) self.execute() self.assertEqual(ContentNode.objects.filter(parent=None, tree_id=1).count(), 2) with self.assertRaises(AssertionError): import_mock.assert_called_with(root_node_1.channel_id) import_mock.assert_called_with(root_node_2.channel_id) @patch("kolibri.core.content.utils.sqlalchemybridge.get_engine", new=get_engine) class UpdateNumCoachContents(TransactionTestCase): fixtures = ["content_test.json"] def setUp(self): super(UpdateNumCoachContents, self).setUp() ContentNode.objects.all().update(available=False) def test_no_content_nodes_coach_content(self): ContentNode.objects.all().update(available=True) ContentNode.objects.all().update(coach_content=False) update_num_coach_contents() root = ChannelMetadata.objects.get(id=test_channel_id).root self.assertEqual(root.num_coach_contents, 0) def test_all_root_content_nodes_coach_content(self): ContentNode.objects.all().update(available=True, coach_content=False) root_node = ContentNode.objects.get(parent__isnull=True) ContentNode.objects.filter(parent=root_node).exclude( kind=content_kinds.TOPIC ).update(coach_content=True) update_num_coach_contents() root_node.refresh_from_db() self.assertEqual(root_node.num_coach_contents, 2) def test_one_root_content_node_coach_content(self): ContentNode.objects.all().update(available=True, coach_content=False) root_node = ContentNode.objects.get(parent__isnull=True) node = ( ContentNode.objects.filter(parent=root_node) .exclude(kind=content_kinds.TOPIC) .first() ) node.coach_content = True node.save() update_num_coach_contents() root_node.refresh_from_db() self.assertEqual(root_node.num_coach_contents, 1) def test_one_root_topic_node_coach_content(self): ContentNode.objects.all().update(available=True, coach_content=False) root_node = ContentNode.objects.get(parent__isnull=True) node = ContentNode.objects.filter( parent=root_node, kind=content_kinds.TOPIC ).first() node.coach_content = True node.save() update_num_coach_contents() root_node.refresh_from_db() self.assertEqual(root_node.num_coach_contents, 0) def test_one_child_node_coach_content(self): ContentNode.objects.all().update(available=True, coach_content=False) root_node = ContentNode.objects.get(parent__isnull=True) node = ContentNode.objects.filter( parent=root_node, kind=content_kinds.TOPIC ).first() ContentNode.objects.create( title="test1", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=root_node.channel_id, parent=node, kind=content_kinds.VIDEO, available=True, coach_content=True, ) update_num_coach_contents() root_node.refresh_from_db() node.refresh_from_db() self.assertEqual(root_node.num_coach_contents, 1) self.assertEqual(node.num_coach_contents, 1) def test_one_child_coach_content_parent_no_siblings(self): ContentNode.objects.all().update(available=True, coach_content=False) root_node = ContentNode.objects.get(parent__isnull=True) topic_node = ContentNode.objects.filter( parent=root_node, kind=content_kinds.TOPIC ).first() parent_node = ContentNode.objects.create( title="test1", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=root_node.channel_id, parent=topic_node, kind=content_kinds.TOPIC, available=True, coach_content=False, ) ContentNode.objects.create( title="test2", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=root_node.channel_id, parent=parent_node, kind=content_kinds.VIDEO, available=True, coach_content=True, ) ContentNode.objects.create( title="test3", id=uuid.uuid4().hex, content_id=uuid.uuid4().hex, channel_id=root_node.channel_id, parent=parent_node, kind=content_kinds.VIDEO, available=True, coach_content=False, ) update_num_coach_contents() parent_node.refresh_from_db() self.assertEqual(parent_node.num_coach_contents, 1) def tearDown(self): call_command("flush", interactive=False) super(UpdateNumCoachContents, self).tearDown()

37.85034

87

0.654295

1,325

11,128

5.205283

0.100377

0.059156

0.047847

0.060896

0.827026

0.803393

0.749746

0.728868

0.722923

0.707699

0

0.013029

0.248203

11,128

293

88

37.979522

0.811379

0.031362

0

0.626923

0

0.046045

0.035184

0

0.080769

1

0.053846

false

0

0.088462

0.003846

0.161538

0

null

0

1

0

null

0

6

9f374414105bd6faa4e6103acad61f7686817d67

3,085

py

Python

src/rating/manager/rating_instances.py

alterway/rating-operator-manager

985252dbfa300a83938d6b19b8aa93c7c865916e

[ "Apache-2.0" ]

11

2021-02-16T17:11:36.000Z

2021-11-09T16:28:15.000Z

src/rating/manager/rating_instances.py

alterway/rating-operator-manager

985252dbfa300a83938d6b19b8aa93c7c865916e

[ "Apache-2.0" ]

null

src/rating/manager/rating_instances.py

alterway/rating-operator-manager

985252dbfa300a83938d6b19b8aa93c7c865916e

[ "Apache-2.0" ]

null

from logging import Logger from typing import Dict import kopf import requests from datetime import datetime as dt from rating.manager import utils @kopf.on.create('rating.alterway.fr', 'v1', 'ratingruleinstances') @kopf.on.update('rating.alterway.fr', 'v1', 'ratingruleinstances') @utils.assert_rating_namespace def rating_instances_creation(body: Dict, spec: Dict, logger: Logger, **kwargs: Dict): """ Create values of RatingRuleInstances through rating-api after creation in kubernetes. :body (Dict) A dictionary containing the created kubernetes object. :spec (Dict) A smaller version of body. :logger (Logger) A Logger object to log informations. :kwargs (Dict) A dictionary holding unused parameters. """ if 'cpu' in spec.keys() and 'memory' in spec.keys() and 'price' in spec.keys(): rules_name = body['metadata']['name'] data = { 'metric_name': spec.get('name', {}), 'timeframe': spec.get('timeframe', {}), 'cpu': spec.get('cpu', {}), 'memory': spec.get('memory', {}), 'price': spec.get('price', {}), } try: utils.post_for_rating_api(endpoint='/templates/metric/add', payload=data) except utils.ConfigurationExceptionError as exc: logger.error(f'RatingRulesInstance {rules_name} is invalid. Reason: {exc}') except requests.exceptions.RequestException: logger.error(f'Request for RatingRulesInstance {rules_name} update failed') else: logger.info( f'RatingRule {rules_name} created/updated.') @kopf.on.delete('rating.alterway.fr', 'v1', 'ratingruleinstances') @utils.assert_rating_namespace def rating_instances_deletion(body: Dict, spec: Dict, logger: Logger, **kwargs: Dict): """ Delete values of RatingRuleInstances through rating-api after creation in kubernetes. :body (Dict) A dictionary containing the deleted kubernetes object. :spec (Dict) A smaller version of body. :logger (Logger) A Logger object to log informations. :kwargs (Dict) A dictionary holding unused parameters. """ if 'cpu' in spec.keys() and 'memory' in spec.keys() and 'price' in spec.keys(): rules_name = body['metadata']['name'] data = { 'metric_name': spec.get('name', {}), } try: utils.post_for_rating_api(endpoint='/templates/metric/delete', payload=data) except utils.ConfigurationExceptionError as exc: logger.error(f'RatingRulesInstance {rules_name} is invalid. Reason: {exc}') except requests.exceptions.RequestException: logger.error(f'Request for RatingRulesInstance {rules_name} delete failed') else: logger.info( f'RatingRule {rules_name} deleted.')

41.133333

89

0.603566

330

3,085

5.569697

0.272727

0.039173

0.032644

0.028292

0.826442

0.806311

0.721436

0.670294

0

0.001363

0.286548

3,085

75

90

41.133333

0.833712

0.196759

0

0.566038

0

0.245861

0.018626

0

0.037736

1

0.037736

false

0

0.113208

0

0.150943

0

null

0

1

0

null

0

6

9f6619f5e5b2722b43c1c5853bc91f32ba40b670

145

py

Python

models/__init__.py

zhangsiyu1103/ESNAC

ecec9860d1fb9f82a61c61dc2bcd1b17d58352dd

[ "MIT" ]

null

models/__init__.py

zhangsiyu1103/ESNAC

ecec9860d1fb9f82a61c61dc2bcd1b17d58352dd

[ "MIT" ]

null

models/__init__.py

zhangsiyu1103/ESNAC

ecec9860d1fb9f82a61c61dc2bcd1b17d58352dd

[ "MIT" ]

null

from .extension import * from .resnet_m import * from .vgg_m import * from .shufflenet_m import * from .alexnet_m import * from .sample import *

20.714286

27

0.751724

22

145

4.772727

0.409091

0.47619

0.419048

0

0.165517

145

6

28

24.166667

0.867769

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

9f7d81551ac880094346429c772ed657c20f5206

99

py

Python

pystiche/ops/__init__.py

jbueltemeier/pystiche

0d0707121e63c4355303446e62a4894e86a7b763

[ "BSD-3-Clause" ]

null

pystiche/ops/__init__.py

jbueltemeier/pystiche

0d0707121e63c4355303446e62a4894e86a7b763

[ "BSD-3-Clause" ]

null

pystiche/ops/__init__.py

jbueltemeier/pystiche

0d0707121e63c4355303446e62a4894e86a7b763

[ "BSD-3-Clause" ]

null

from .comparison import * from .container import * from .op import * from .regularization import *

19.8

29

0.757576

12

99

6.25

0.5

0.4

0

0.161616

99

4

30

24.75

0.903614

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

9f8c7efbd20aec3199f8b0ef0af080be35192260

193

py

Python

theremini_player/setup.py

civerachb-cpr/theremini_ros

162aabd0993b782869e3fbe69e090c8c8c9ca042

[ "BSD-3-Clause" ]

null

theremini_player/setup.py

civerachb-cpr/theremini_ros

162aabd0993b782869e3fbe69e090c8c8c9ca042

[ "BSD-3-Clause" ]

null

theremini_player/setup.py

civerachb-cpr/theremini_ros

162aabd0993b782869e3fbe69e090c8c8c9ca042

[ "BSD-3-Clause" ]

null

from distutils.core import setup from catkin_pkg.python_setup import generate_distutils_setup d = generate_distutils_setup( packages=['theremini_player'], package_dir={'': 'src'}) setup(**d)

24.125

60

0.792746

26

193

5.576923

0.615385

0.234483

0.303448

0

0.088083

193

7

61

27.571429

0.823864

0

1

0

0.098446

0

1

0

false

0

0.4

0

0.4

0

1

0

null

1

0

1

0

1

0

null

0

1

0

6

9fbed254e77abddc91ffe591cfeb37ab31231580

22,311

py

Python

mkhockeydata.py

GameMaker2k/Neo-Hockey-Test

5737bfedf0d83f69964e85ac1dbf7e6a93c13f44

[ "BSD-3-Clause" ]

1

2020-04-04T10:25:42.000Z

mkhockeydata.py

GameMaker2k/Neo-Hockey-Test

5737bfedf0d83f69964e85ac1dbf7e6a93c13f44

[ "BSD-3-Clause" ]

null

mkhockeydata.py

GameMaker2k/Neo-Hockey-Test

5737bfedf0d83f69964e85ac1dbf7e6a93c13f44

[ "BSD-3-Clause" ]

3

2021-09-07T08:44:33.000Z

2021-12-07T23:49:39.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- ''' This program is free software; you can redistribute it and/or modify it under the terms of the Revised BSD License. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Revised BSD License for more details. Copyright 2015-2021 Game Maker 2k - https://github.com/GameMaker2k Copyright 2015-2021 Kazuki Przyborowski - https://github.com/KazukiPrzyborowski $FileInfo: mkhockeydata.py - Last Update: 3/17/2021 Ver. 0.6.0 RC 1 - Author: cooldude2k $ ''' from __future__ import absolute_import, division, print_function, unicode_literals; import sys, os, libhockeydata, argparse, logging, shutil; __project__ = libhockeydata.__project__; __program_name__ = libhockeydata.__program_name__; __project_url__ = libhockeydata.__project_url__; __version_info__ = libhockeydata.__version_info__; __version_date_info__ = libhockeydata.__version_date_info__; __version_date__ = libhockeydata.__version_date__; __version_date_plusrc__ = libhockeydata.__version_date_plusrc__; __version__ = libhockeydata.__version__; getactlist = ["mkhockeyxmlfile", "mkhockeyxmlfromolddatabase", "mkhockeyxmlfromsql", "mkhockeydatabase", "mkhockeydatabasefromsql", "mkhockeypyfromdatabase", "mkhockeypyfromxmlfile", "mkhockeypyaltfromdatabase", "mkhockeypyaltfromxmlfile", "mkhockeysqlfromdatabase", "mkhockeysqlfromxmlfile", "mkhockeyjsonfromxml", "mkhockeyxmlfromjson", "mkhockeyxmlfileclean", "help", "h", "version", "ver", "v", "mksymlinks", "mksymlink"]; getactdesc = ["convert hockey sqlite database to hockey xml file", "convert old hockey sqlite database to hockey xml file", "convert hockey sql dump file to hockey xml file", "convert hockey xml file to hockey sqlite database", "convert hockey sql dump file to sqlite database", "convert hockey sqlite database to hockey python file", "convert hockey xml file to hockey python file", "convert hockey sqlite database to hockey python alt file", "convert hockey xml file to hockey python alt file", "convert hockey sqlite database to hockey sql dump file", "convert hockey xml file to hockey sql dump file", "convert hockey xml file to hockey json file", "convert hockey json file to hockey xml file", "cleanup hockey xml files", "show this help page", "get version number of "+__project__, "make symbolic links"]; gethelplist = ["mkhockeyxmlfile", "mkhockeyxmlfromolddatabase", "mkhockeyxmlfromsql", "mkhockeydatabase", "mkhockeydatabasefromsql", "mkhockeypyfromdatabase", "mkhockeypyfromxmlfile", "mkhockeypyaltfromdatabase", "mkhockeypyaltfromxmlfile", "mkhockeysqlfromdatabase", "mkhockeysqlfromxmlfile", "mkhockeyjsonfromxml", "mkhockeyxmlfromjson", "mkhockeyxmlfileclean", "help", "version", "mksymlinks"]; getsymlist = ["mkhockeyxmlfile", "mkhockeyxmlfromolddatabase", "mkhockeyxmlfromsql", "mkhockeydatabase", "mkhockeydatabasefromsql", "mkhockeypyfromdatabase", "mkhockeypyfromxmlfile", "mkhockeypyaltfromdatabase", "mkhockeypyaltfromxmlfile", "mkhockeysqlfromdatabase", "mkhockeysqlfromxmlfile", "mkhockeyjsonfromxml", "mkhockeyxmlfromjson", "mkhockeyxmlfileclean"]; defaction = getactlist[14]; defxmlfile = libhockeydata.defaultxmlfile; defsdbfile = libhockeydata.defaultsdbfile; defoldsdbfile = libhockeydata.defaultoldsdbfile; defpyfile = libhockeydata.defaultpyfile; defsqlfile = libhockeydata.defaultsqlfile; defjsonfile = libhockeydata.defaultjsonfile; getactstr = "Actions: "; getverstr = __project__+" "+__version__; for getactsublist, getactsubdesc in zip(gethelplist, getactdesc): getactstr = getactstr+"\n"+getactsublist+": "+getactsubdesc+" "; getactstr = getactstr.strip(); curaction = defaction; cursaction = os.path.splitext(os.path.basename(sys.argv[0]))[0]; cursactionspt = list(cursaction.split("-")); if(len(cursactionspt)<=1): cursaction = cursactionspt[0]; if(len(cursactionspt)>1): for cursactionact in cursactionspt: if(cursactionact in getactlist): cursaction = cursactionact; break; if(cursaction in getactlist): curaction = cursaction; if(len(sys.argv)>=2): if(sys.argv[1] not in getactlist): curaction = defaction; if(cursaction in getactlist): curaction = cursaction; if(len(sys.argv)>1): for curargact in sys.argv: if(curargact in getactlist): curaction = curargact; break; if(curaction==getactlist[14] or curaction==getactlist[15]): print(getactstr); if(curaction==getactlist[16] or curaction==getactlist[17] or curaction==getactlist[18]): print(getverstr); if((curaction==getactlist[19] or curaction==getactlist[20])): for cursymact in getsymlist: curscrpath = os.path.dirname(sys.argv[0]); infilename = sys.argv[0]; infilenameinfo = os.path.splitext(sys.argv[0]); if(curscrpath==""): curscrpath = "."; if(os.sep=="\\"): curscrpath = curscrpath.replace(os.sep, "/"); infilename = infilename.replace(os.sep, "/"); curscrpath = curscrpath+"/"; outfilename = curscrpath+cursymact; outfileext = str(infilenameinfo[1]).rstrip("."); outfilefull = outfilename+outfileext; try: os.symlink(infilename, outfilefull); print("'"+outfilefull+"' -> '"+infilename+"'"); except OSError: shutil.copy2(infilename, outfilefull); print("'"+outfilefull+"' -> '"+infilename+"'"); except AttributeError: shutil.copy2(infilename, outfilefull); print("'"+outfilefull+"' -> '"+infilename+"'"); if(curaction==getactlist[0]): argparser = argparse.ArgumentParser(description=getactdesc[0], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defsdbfile), help="sqlite database to convert"); argparser.add_argument("-o", "-t", "--outfile", default=None, help="xml file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeyXMLFileFromHockeyDatabase(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[1]): argparser = argparse.ArgumentParser(description=getactdesc[1], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defoldsdbfile), help="sqlite database to convert"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="xml file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeyXMLFileFromOldHockeyDatabase(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[2]): argparser = argparse.ArgumentParser(description=getactdesc[2], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defsqlfile), help="sql dump file to import"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="xml file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeyXMLFileFromHockeySQL(getargs.infile, None, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[3]): argparser = argparse.ArgumentParser(description=getactdesc[3], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defxmlfile), help="xml file to convert"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="sqlite database to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeyDatabaseFromHockeyXML(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[4]): argparser = argparse.ArgumentParser(description=getactdesc[4], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defsqlfile), help="sql dump file to import"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="sqlite database to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeyDatabaseFromHockeySQL(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[5]): argparser = argparse.ArgumentParser(description=getactdesc[5], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defsdbfile), help="sqlite database to convert"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="python file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeyPythonFileFromHockeyDatabase(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[6]): argparser = argparse.ArgumentParser(description=getactdesc[6], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defxmlfile), help="xml file to convert"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="python file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeyPythonFileFromHockeyXML(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[7]): argparser = argparse.ArgumentParser(description=getactdesc[5], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defsdbfile), help="sqlite database to convert"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="python file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeyPythonAltFileFromHockeyDatabase(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[8]): argparser = argparse.ArgumentParser(description=getactdesc[6], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defxmlfile), help="xml file to convert"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="python file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeyPythonAltFileFromHockeyXML(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[9]): argparser = argparse.ArgumentParser(description=getactdesc[7], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defsdbfile), help="sqlite database to convert"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="sql dump file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeySQLFileFromHockeyDatabase(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[10]): argparser = argparse.ArgumentParser(description=getactdesc[8], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defxmlfile), help="xml file to convert"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="sql dump file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeySQLFileFromHockeyXML(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[11]): argparser = argparse.ArgumentParser(description=getactdesc[6], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defxmlfile), help="xml file to convert"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', defjsonfile), help="json file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); if(getargs.outfile is None): libhockeydata.MakeHockeyJSONFromHockeyXML(getargs.infile, verbose=verboseon, jsonverbose=getargs.jsonverbose); else: libhockeydata.MakeHockeyJSONFileFromHockeyXML(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[12]): argparser = argparse.ArgumentParser(description=getactdesc[0], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defsdbfile), help="json file to convert"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', defjsonfile), help="xml file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); libhockeydata.MakeHockeyXMLFileFromHockeyJSON(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose); if(curaction==getactlist[13]): argparser = argparse.ArgumentParser(description=getactdesc[9], conflict_handler="resolve", add_help=True); argparser.add_argument("-v", "--ver", "--version", action="version", version=__program_name__+" "+__version__); argparser.add_argument('action', nargs='?', default=curaction); argparser.add_argument("-i", "-f", "--infile", default=os.environ.get('INFILE', defxmlfile), help="xml file to clean"); argparser.add_argument("-o", "-t", "--outfile", default=os.environ.get('OUTFILE', None), help="clean xml file to output"); argparser.add_argument("-V", "-d", "--verbose", action="store_true", help="print various debugging information"); argparser.add_argument("-j", "-s", "--jsonverbose", action="store_true", help="print various debugging information in json"); getargs = argparser.parse_args(); verboseon = getargs.verbose; if('VERBOSE' in os.environ or 'DEBUG' in os.environ): verboseon = True; if(verboseon): logging.basicConfig(format="%(message)s", stream=sys.stdout, level=logging.DEBUG); if(getargs.outfile is None): libhockeydata.MakeHockeyXMLFromHockeyXML(getargs.infile, verbose=verboseon, jsonverbose=getargs.jsonverbose); else: libhockeydata.MakeHockeyXMLFileFromHockeyXML(getargs.infile, getargs.outfile, verbose=verboseon, jsonverbose=getargs.jsonverbose);

67.81459

812

0.745955

2,591

22,311

6.277113

0.103821

0.061977

0.103296

0.036153

0.81376

0.790212

0.782833

0.766171

0.756333

0.742683

0

0.004565

0.086863

22,311

328

813

68.021341

0.793747

0.028058

0

0.635739

0

0.252957

0.025786

0

1

0

false

0

0.013746

0

0.013746

0.116838

0

null

0

1

0

null

0

6

e2425c2cb6764fde1d5472552b81250dc65c17f8

1,391

py

Python

databroker_pack/commandline/_utils.py

gwbischof/databroker-pack

361d4948f495973cc2992904d9db4cff385f9815

[ "BSD-3-Clause" ]

1

2021-06-17T04:20:47.000Z

databroker_pack/commandline/_utils.py

gwbischof/databroker-pack

361d4948f495973cc2992904d9db4cff385f9815

[ "BSD-3-Clause" ]

22

2020-04-03T02:14:15.000Z

2021-03-12T18:14:40.000Z

databroker_pack/commandline/_utils.py

gwbischof/databroker-pack

361d4948f495973cc2992904d9db4cff385f9815

[ "BSD-3-Clause" ]

7

2020-04-01T01:24:12.000Z

2020-08-31T20:15:03.000Z

import argparse from .._version import get_versions class ShowVersionAction(argparse.Action): # a special action that allows the usage --version to override # any 'required args' requirements, the same way that --help does def __init__( self, option_strings, dest=argparse.SUPPRESS, default=argparse.SUPPRESS, help=None, ): super().__init__( option_strings=option_strings, dest=dest, default=default, nargs=0, help=help, ) def __call__(self, parser, namespace, values, option_string=None): print(get_versions()["version"]) parser.exit() class ListCatalogsAction(argparse.Action): # a special action that allows the usage --list-catalogs to override # any 'required args' requirements, the same way that --help does def __init__( self, option_strings, dest=argparse.SUPPRESS, default=argparse.SUPPRESS, help=None, ): super().__init__( option_strings=option_strings, dest=dest, default=default, nargs=0, help=help, ) def __call__(self, parser, namespace, values, option_string=None): import databroker for name in databroker.catalog: print(name) parser.exit()

25.759259

72

0.59885

145

1,391

5.503448

0.358621

0.097744

0.085213

0.055138

0.749373

0.634085

0

0.002101

0.3156

1,391

53

73

26.245283

0.836134

0.183321

0

0.75

0

0.006189

0

1

0.1

false

0

0.075

0

0.225

0.05

0

null

0

1

0

1

0

null

0

6

e2958d1ef1431702155d88e34dcd6aef3658220b

190

py

Python

backend/server/assets/tokens.py

dkubatko/BubbleText

0910ddabe5eda9aa6f6c9254e42411c9b01a6516

[ "MIT" ]

null

backend/server/assets/tokens.py

dkubatko/BubbleText

0910ddabe5eda9aa6f6c9254e42411c9b01a6516

[ "MIT" ]

null

backend/server/assets/tokens.py

dkubatko/BubbleText

0910ddabe5eda9aa6f6c9254e42411c9b01a6516

[ "MIT" ]

null

import secrets import settings.token_settings as local_settings class Tokens: @classmethod def generate_token(cls): return secrets.token_hex(local_settings.TOKEN_BITS_USED)

23.75

64

0.789474

25

190

5.72

0.64

0.181818

0

0.157895

190

7

65

27.142857

0.89375

0

1

0

1

0.166667

false

0

0.333333

0.166667

0.833333

0

1

0

null

0

1

0

1

0

null

0

1

0

6

2c3c22ca18dfc22b019f99c12d12105b68f75774

24

py

Python

populy/__init__.py

R-mario/simuPy

ff5498c340851cbdc4fedd32c296ee9b50bbc06a

[ "MIT" ]

null

populy/__init__.py

R-mario/simuPy

ff5498c340851cbdc4fedd32c296ee9b50bbc06a

[ "MIT" ]

null

populy/__init__.py

R-mario/simuPy

ff5498c340851cbdc4fedd32c296ee9b50bbc06a

[ "MIT" ]

null

from . import population

24

0.833333

3

24

6.666667

1

0

0.125

24

1

24

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

2c7fbd5fc36b5a936cb0a897b203b9ff0560a954

105

py

Python

codigo/Live165/exemplo_01.py

BrunoPontesLira/live-de-python

da6e463a89ed90d9efaa1c34088ab6460e949de1

[ "MIT" ]

572

2018-04-03T03:17:08.000Z

2022-03-31T19:05:32.000Z

codigo/Live165/exemplo_01.py

BrunoPontesLira/live-de-python

da6e463a89ed90d9efaa1c34088ab6460e949de1

[ "MIT" ]

176

2018-05-18T15:56:16.000Z

2022-03-28T20:39:07.000Z

codigo/Live165/exemplo_01.py

BrunoPontesLira/live-de-python

da6e463a89ed90d9efaa1c34088ab6460e949de1

[ "MIT" ]

140

2018-04-18T13:59:11.000Z

2022-03-29T00:43:49.000Z

from pydantic import validate_arguments @validate_arguments def soma(x: int, y: int): return x + y

15

39

0.733333

16

105

4.6875

0.6875

0.453333

0

0.190476

105

6

40

17.5

0.882353

0

1

0.25

false

0

0.25

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

2cbaaa9cb2c1f9c240ff43e15a551596128bfdc2

22

py

Python

examples/example_open_mini1.py

ivan-kulikov-dev/pytib

3be8c12071548944628cb517ff0bc41b7fd4d9cd

[ "MIT" ]

null

examples/example_open_mini1.py

ivan-kulikov-dev/pytib

3be8c12071548944628cb517ff0bc41b7fd4d9cd

[ "MIT" ]

null

examples/example_open_mini1.py

ivan-kulikov-dev/pytib

3be8c12071548944628cb517ff0bc41b7fd4d9cd

[ "MIT" ]

null

from .. import pytib

7.333333

20

0.681818

3

22

5

1

0

0.227273

22

2

21

11

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

e2c27fcb493c0083d1c0bea4dd6c21fb4d8dfc02

7,688

py

Python

tasks/tcn_call_test.py

evanharwin/keras-tcn

81706eaabc069ad27a1786625bbf731b247bf2f0

[ "MIT" ]

1,473

2018-03-22T11:57:25.000Z

2022-03-31T02:49:58.000Z

tasks/tcn_call_test.py

gf9619/keras-tcn

078901b98e8538b85b5d40953ca8fc52ad9274e0

[ "MIT" ]

177

2018-04-05T04:28:55.000Z

2022-03-19T13:26:57.000Z

tasks/tcn_call_test.py

gf9619/keras-tcn

078901b98e8538b85b5d40953ca8fc52ad9274e0

[ "MIT" ]

414

2018-03-23T06:36:44.000Z

2022-03-29T11:07:00.000Z

import unittest import numpy as np from tensorflow.keras import Input from tensorflow.keras import Model from tensorflow.keras.models import Sequential from tcn import TCN NB_FILTERS = 16 TIME_STEPS = 20 SEQ_LEN_1 = 5 SEQ_LEN_2 = 1 SEQ_LEN_3 = 10 def predict_with_tcn(time_steps=None, padding='causal', return_sequences=True) -> list: input_dim = 4 i = Input(batch_shape=(None, time_steps, input_dim)) o = TCN(nb_filters=NB_FILTERS, return_sequences=return_sequences, padding=padding)(i) m = Model(inputs=[i], outputs=[o]) m.compile(optimizer='adam', loss='mse') if time_steps is None: np.random.seed(123) return [ m(np.random.rand(1, SEQ_LEN_1, input_dim)), m(np.random.rand(1, SEQ_LEN_2, input_dim)), m(np.random.rand(1, SEQ_LEN_3, input_dim)) ] else: np.random.seed(123) return [m(np.random.rand(1, time_steps, input_dim))] class TCNCallTest(unittest.TestCase): def test_compute_output_for_multiple_config(self): # with time steps None. o1 = TCN(nb_filters=NB_FILTERS, return_sequences=True, padding='same').compute_output_shape((None, None, 4)) self.assertListEqual(list(o1), [None, None, NB_FILTERS]) o2 = TCN(nb_filters=NB_FILTERS, return_sequences=True, padding='causal').compute_output_shape((None, None, 4)) self.assertListEqual(list(o2), [None, None, NB_FILTERS]) o3 = TCN(nb_filters=NB_FILTERS, return_sequences=False, padding='same').compute_output_shape((None, None, 4)) self.assertListEqual(list(o3), [None, NB_FILTERS]) o4 = TCN(nb_filters=NB_FILTERS, return_sequences=False, padding='causal').compute_output_shape((None, None, 4)) self.assertListEqual(list(o4), [None, NB_FILTERS]) # with time steps known. o5 = TCN(nb_filters=NB_FILTERS, return_sequences=True, padding='same').compute_output_shape((None, 5, 4)) self.assertListEqual(list(o5), [None, 5, NB_FILTERS]) o6 = TCN(nb_filters=NB_FILTERS, return_sequences=True, padding='causal').compute_output_shape((None, 5, 4)) self.assertListEqual(list(o6), [None, 5, NB_FILTERS]) o7 = TCN(nb_filters=NB_FILTERS, return_sequences=False, padding='same').compute_output_shape((None, 5, 4)) self.assertListEqual(list(o7), [None, NB_FILTERS]) o8 = TCN(nb_filters=NB_FILTERS, return_sequences=False, padding='causal').compute_output_shape((None, 5, 4)) self.assertListEqual(list(o8), [None, NB_FILTERS]) def test_causal_time_dim_known_return_sequences(self): r = predict_with_tcn(time_steps=TIME_STEPS, padding='causal', return_sequences=True) self.assertListEqual([list(b.shape) for b in r], [[1, TIME_STEPS, NB_FILTERS]]) def test_causal_time_dim_unknown_return_sequences(self): r = predict_with_tcn(time_steps=None, padding='causal', return_sequences=True) self.assertListEqual([list(b.shape) for b in r], [[1, SEQ_LEN_1, NB_FILTERS], [1, SEQ_LEN_2, NB_FILTERS], [1, SEQ_LEN_3, NB_FILTERS]]) def test_non_causal_time_dim_known_return_sequences(self): r = predict_with_tcn(time_steps=TIME_STEPS, padding='same', return_sequences=True) self.assertListEqual([list(b.shape) for b in r], [[1, TIME_STEPS, NB_FILTERS]]) def test_non_causal_time_dim_unknown_return_sequences(self): r = predict_with_tcn(time_steps=None, padding='same', return_sequences=True) self.assertListEqual([list(b.shape) for b in r], [[1, SEQ_LEN_1, NB_FILTERS], [1, SEQ_LEN_2, NB_FILTERS], [1, SEQ_LEN_3, NB_FILTERS]]) def test_causal_time_dim_known_return_no_sequences(self): r = predict_with_tcn(time_steps=TIME_STEPS, padding='causal', return_sequences=False) self.assertListEqual([list(b.shape) for b in r], [[1, NB_FILTERS]]) def test_causal_time_dim_unknown_return_no_sequences(self): r = predict_with_tcn(time_steps=None, padding='causal', return_sequences=False) self.assertListEqual([list(b.shape) for b in r], [[1, NB_FILTERS], [1, NB_FILTERS], [1, NB_FILTERS]]) def test_non_causal_time_dim_known_return_no_sequences(self): r = predict_with_tcn(time_steps=TIME_STEPS, padding='same', return_sequences=False) self.assertListEqual([list(b.shape) for b in r], [[1, NB_FILTERS]]) def test_non_causal_time_dim_unknown_return_no_sequences(self): r = predict_with_tcn(time_steps=None, padding='same', return_sequences=False) self.assertListEqual([list(b.shape) for b in r], [[1, NB_FILTERS], [1, NB_FILTERS], [1, NB_FILTERS]]) def test_norms(self): Sequential(layers=[TCN(input_shape=(20, 2), use_weight_norm=True)]).compile(optimizer='adam', loss='mse') Sequential(layers=[TCN(input_shape=(20, 2), use_weight_norm=False)]).compile(optimizer='adam', loss='mse') Sequential(layers=[TCN(input_shape=(20, 2), use_layer_norm=True)]).compile(optimizer='adam', loss='mse') Sequential(layers=[TCN(input_shape=(20, 2), use_layer_norm=False)]).compile(optimizer='adam', loss='mse') Sequential(layers=[TCN(input_shape=(20, 2), use_batch_norm=True)]).compile(optimizer='adam', loss='mse') Sequential(layers=[TCN(input_shape=(20, 2), use_batch_norm=False)]).compile(optimizer='adam', loss='mse') try: Sequential(layers=[TCN(input_shape=(20, 2), use_batch_norm=True, use_weight_norm=True)]).compile( optimizer='adam', loss='mse') raise AssertionError('test failed.') except ValueError: pass try: Sequential(layers=[TCN(input_shape=(20, 2), use_batch_norm=True, use_weight_norm=True, use_layer_norm=True)]).compile( optimizer='adam', loss='mse') raise AssertionError('test failed.') except ValueError: pass def test_receptive_field(self): self.assertEqual(37, TCN(kernel_size=3, dilations=(1, 3, 5), nb_stacks=1).receptive_field) self.assertEqual(379, TCN(kernel_size=4, dilations=(1, 2, 4, 8, 16, 32), nb_stacks=1).receptive_field) self.assertEqual(253, TCN(kernel_size=3, dilations=(1, 2, 4, 8, 16, 32), nb_stacks=1).receptive_field) self.assertEqual(125, TCN(kernel_size=3, dilations=(1, 2, 4, 8, 16), nb_stacks=1).receptive_field) self.assertEqual(61, TCN(kernel_size=3, dilations=(1, 2, 4, 8), nb_stacks=1).receptive_field) self.assertEqual(29, TCN(kernel_size=3, dilations=(1, 2, 4), nb_stacks=1).receptive_field) self.assertEqual(57, TCN(kernel_size=3, dilations=(1, 2, 4), nb_stacks=2).receptive_field) self.assertEqual(121, TCN(kernel_size=3, dilations=(1, 2, 4, 8), nb_stacks=2).receptive_field) self.assertEqual(91, TCN(kernel_size=4, dilations=(1, 2, 4, 8), nb_stacks=1).receptive_field) self.assertEqual(25, TCN(kernel_size=5, dilations=(1, 2), nb_stacks=1).receptive_field) self.assertEqual(31, TCN(kernel_size=6, dilations=(1, 2), nb_stacks=1).receptive_field) # 1+(3-1)*1*(1+3+5)*2 = 37 # 1+(4-1)*1*(1+2+4+8+16+32)*2 = 379 # 1+(3-1)*1*(1+2+4+8+16+32)*2 = 253 # 1+(3-1)*1*(1+2+4+8+16)*2 = 125 # 1+(3-1)*1*(1+2+4+8)*2 = 61 # 1+(3-1)*1*(1+2+4)*2 = 29 # 1+(3-1)*2*(1+2+4)*2 = 57 # 1+(3-1)*2*(1+2+4+8)*2 = 121 # 1+(4-1)*1*(1+2+4+8)*2 = 91 # 1+(5-1)*1*(1+2)*2 = 25 # 1+(6-1)*1*(1+2)*2 = 31 if __name__ == '__main__': unittest.main()

50.913907

119

0.653356

1,150

7,688

4.123478

0.105217

0.081611

0.077604

0.010122

0.840574

0.831295

0.826234

0.767609

0.749473

0.719528

0

0.052555

0.198101

7,688

150

120

51.253333

0.716626

0.045005

0

0.238532

0

0.0247

0

0.266055

1

0.110092

false

0.018349

0.055046

0

0.192661

0

null

0

1

0

null

0

6

1a8eaf223b1cd6517bfafcfcc9785ab80786e4b5

18

py

Python

lib/wombatwiki/__init__.py

jimeggleston/wombatwiki

5e0d7c8e6e4037de4040585b91fd5f8db7293b36

[ "MIT" ]

null

lib/wombatwiki/__init__.py

jimeggleston/wombatwiki

5e0d7c8e6e4037de4040585b91fd5f8db7293b36

[ "MIT" ]

null

lib/wombatwiki/__init__.py

jimeggleston/wombatwiki

5e0d7c8e6e4037de4040585b91fd5f8db7293b36

[ "MIT" ]

null

import os, sys, re

18

0.722222

4

18

3.25

1

0

0.166667

18

1

18

0.866667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

46d13a57e062b83dfd9097293233a5e9d6f88680

74

py

Python

build/lib/amap/__init__.py

commerceblock/asset-mapping

ba33f2698ba7a9f7f1c59fea531cad919ed34fa3

[ "MIT" ]

3

2019-06-12T16:43:10.000Z

2021-09-20T06:46:20.000Z

build/lib/amap/__init__.py

cryptopoly/asset-mapping

d61b196066fadc54f1a1600fb72ef7c5627db3e4

[ "MIT" ]

41

2019-05-03T14:52:45.000Z

2019-10-25T09:07:15.000Z

build/lib/amap/__init__.py

cryptopoly/asset-mapping

d61b196066fadc54f1a1600fb72ef7c5627db3e4

[ "MIT" ]

3

2019-06-12T16:44:14.000Z

2021-11-09T20:32:18.000Z

from ._version import __version__ import amap.mapping import amap.rpchost

18.5

33

0.851351

10

74

5.8

0.6

0.448276

0

0.108108

74

3

34

24.666667

0.878788

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

46f71c943050902ec31441de0602aa6bdfc7b6ce

84

py

Python

src/visualization/recall.py

FilipCvetko/clinical_notes

5fa0d26898e0083fcf424cdd61d2190b32a495be

[ "MIT" ]

2

2021-11-17T16:51:47.000Z

2021-12-16T23:00:26.000Z

src/visualization/recall.py

FilipCvetko/clinical_notes

5fa0d26898e0083fcf424cdd61d2190b32a495be

[ "MIT" ]

null

src/visualization/recall.py

FilipCvetko/clinical_notes

5fa0d26898e0083fcf424cdd61d2190b32a495be

[ "MIT" ]

null

import streamlit as st def recall_app(): st.title("Patient notes collection")

14

40

0.72619

12

84

5

0.916667

0

0.178571

84

5

41

16.8

0.869565

0

0.285714

0

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

2037a9e902af27e73c40842b62da9f0262ffbba5

126

py

Python

ProteoPy/__init__.py

cossio/ProteoPy

a3569dcef34e4d416863c812e90498d749dc288f

[ "MIT" ]

null

ProteoPy/__init__.py

cossio/ProteoPy

a3569dcef34e4d416863c812e90498d749dc288f

[ "MIT" ]

null

ProteoPy/__init__.py

cossio/ProteoPy

a3569dcef34e4d416863c812e90498d749dc288f

[ "MIT" ]

null

""" Simple tools to handle proteomics data. """ from ProteoPy.Services import Services import ProteoPy.io import ProteoPy.util

21

39

0.801587

17

126

5.941176

0.705882

0.277228

0

0.119048

126

6

40

21

0.90991

0.309524

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

64562b5b8cc5301460a6fc567e4440a83f9331b0

158

py

Python

backend/apps/sampleapp/admin.py

domasx2/django-angular-docker-seed

5c1ad6d62d179c9cb5cdbf7b1254576efa63b2fb

[ "Unlicense" ]

32

2015-04-27T02:01:59.000Z

2021-04-06T10:19:42.000Z

backend/apps/sampleapp/admin.py

domasx2/django-angular-docker-seed

5c1ad6d62d179c9cb5cdbf7b1254576efa63b2fb

[ "Unlicense" ]

14

2015-03-21T08:20:34.000Z

2016-02-15T07:07:39.000Z

backend/apps/sampleapp/admin.py

domasx2/django-angular-docker-seed

5c1ad6d62d179c9cb5cdbf7b1254576efa63b2fb

[ "Unlicense" ]

21

2015-03-18T18:40:12.000Z

2021-03-16T22:12:44.000Z

from django.contrib import admin from .models import Upload # Register your models here. @admin.register(Upload) class UploadAdmin(admin.ModelAdmin): pass

26.333333

36

0.797468

21

158

6

0.666667

0

0.126582

158

6

37

26.333333

0.913043

0.164557

0

1

0

true

0.2

0.4

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

6

645ecd2ccaa20cd884d58417b03f4c6851420cdb

11,305

py

Python

tests/mock_decorators/test_function_mock.py

fhuertas/mock_decorator

bb8971398aa80f555089db0ca57fff5a648f5405

[ "Apache-2.0" ]

null

tests/mock_decorators/test_function_mock.py

fhuertas/mock_decorator

bb8971398aa80f555089db0ca57fff5a648f5405

[ "Apache-2.0" ]

null

tests/mock_decorators/test_function_mock.py

fhuertas/mock_decorator

bb8971398aa80f555089db0ca57fff5a648f5405

[ "Apache-2.0" ]

null

import sys import unittest from mock_decorators.function_mock import FunctionMock from mock_decorators.function_mock import FunctionMockResult from mock_decorators.function_mock import FunctionMockChangeResult from mock_decorators.function_mock import FunctionMockCheckCall from tests.mock_decorators import module_test from tests.mock_decorators.module_test import TestClass class TestFunctionMock(unittest.TestCase): p1 = 10 p2 = 2 def test_function_mock_correct(self): def function_mocked(param_a, param_b): return param_a - param_b @FunctionMock(entity=module_test, function_name='function_sum', mocked_function=function_mocked, check_signature=True) def inner_test(): return module_test.function_sum(self.p1, self.p2) result_no_mocked = module_test.function_sum(self.p1, self.p2) result_mocked = inner_test() expected_mocked = self.p1 - self.p2 expected_no_mocked = self.p1 + self.p2 self.assertEqual(result_mocked, expected_mocked, "The FunctionMock has failed") self.assertEqual(result_no_mocked, expected_no_mocked, "The FunctionMock has failed") def test_function_mock_correct_a_class(self): result_of_the_function_mock = "mock mock mock" def function_mocked(self, *args, **kwargs): return result_of_the_function_mock test_class = TestClass() @FunctionMock(entity=TestClass, function_name='function_echo', mocked_function=function_mocked, check_signature=True) def inner_test(): return test_class.function_echo("No echo") result_mocked = inner_test() self.assertEqual(result_mocked, result_of_the_function_mock, "The FunctionMock has failed") self.assertNotEqual(test_class.function_echo("No echo"), result_of_the_function_mock, "The FunctionMock has failed") def test_function_mock_bad_signature(self): def function_mocked(param, param_b): return param - param_b @FunctionMock(entity=module_test, function_name='function_sum', mocked_function=function_mocked, check_signature=True) def inner_test(): module_test.function_sum(self.p1, self.p2) if sys.version_info < (3, 4): self.assertRaisesRegexp(TypeError, "signature", inner_test) else: self.assertRaisesRegex(TypeError, "signature", inner_test) def test_function_mock_not_exists(self): def function_mocked(param, param_b): return param - param_b @FunctionMock(entity=module_test, function_name='function_suma', mocked_function=function_mocked, check_signature=True) def inner_test(): module_test.function_suma(self.p1, self.p2) if sys.version_info < (3, 4): self.assertRaises(TypeError, inner_test) else: self.assertRaisesRegex(TypeError, "unsupported callable", inner_test) def test_function_mock_bad_signature_no_checked(self): def function_mocked(param, param_b): return param - param_b @FunctionMock(entity=module_test, function_name='function_sum', mocked_function=function_mocked, check_signature=False) def inner_test(): return module_test.function_sum(self.p1, self.p2) result_no_mocked = module_test.function_sum(self.p1, self.p2) result_mocked = inner_test() expected_mocked = self.p1 - self.p2 expected_no_mocked = self.p1 + self.p2 self.assertEqual(result_mocked, expected_mocked, "The FunctionMock has failed") self.assertEqual(result_no_mocked, expected_no_mocked, "The FunctionMock has failed") def test_function_mock_no_exists(self): def function_mocked(param, param_b): return param - param_b @FunctionMock(entity=module_test, function_name='function_summ', mocked_function=function_mocked, check_signature=True) def inner_test(): pass if sys.version_info < (3, 4): self.assertRaises(TypeError, inner_test) else: self.assertRaisesRegex(TypeError, 'unsupported callable', inner_test) class TestFunctionMockResult(unittest.TestCase): def test_function_mock_result_correct(self): result_returned = -21231 @FunctionMockResult(module_test, 'function_sum', result_returned, True) def inner_test(): return module_test.function_sum(1, 1) result_value_mocked = inner_test() self.assertTrue(result_value_mocked, result_returned) def test_function_mock_result_correct_no_exist(self): result_returned = -21231 @FunctionMockResult(module_test, 'function_suma', result_returned, True) def inner_test(): return module_test.function_sum(1, 1) if sys.version_info < (3, 3): self.assertRaisesRegexp(TypeError, "the function don't exist", inner_test) else: self.assertRaisesRegex(TypeError, "the function don't exist", inner_test) def test_function_mock_result_correct_no_exist_no_checked(self): result_returned = -21231 @FunctionMockResult(module_test, 'function_suma', result_returned, False) def inner_test(): return module_test.function_sum(1, 1) result_value_mocked = inner_test() self.assertTrue(result_value_mocked, result_returned) def test_function_mock_no_function(self): result_returned = -21231 invalid_function_name = 'invalid_function' def inner_test(): @FunctionMockResult(module_test, invalid_function_name, result_returned) def call_test(): module_test.function_sum(1, 1) call_test() if sys.version_info < (3, 0): self.assertRaisesRegexp(AttributeError, invalid_function_name, inner_test) else: self.assertRaisesRegex(AttributeError, invalid_function_name, inner_test) class TestFunctionMockChangeResult(unittest.TestCase): first_parameter = 500 second_parameter = 10 def test_function_mock_change_result_correct(self): def function_change(value): return value + 2 @FunctionMockChangeResult(module_test, 'function_sum', function_change) def inner_test(): return module_test.function_sum(self.first_parameter, self.second_parameter) result_no_mocked = module_test.function_sum(self.first_parameter, self.second_parameter) result_mocked = inner_test() expected_mocked = self.first_parameter + self.second_parameter + 2 expected_no_mocked = self.first_parameter + self.second_parameter self.assertEqual(result_mocked, expected_mocked, "The FunctionMock has failed") self.assertEqual(result_no_mocked, expected_no_mocked, "The FunctionMock has failed") def test_function_mock_change_result_incorrect_function(self): def function_change(): return 2 @FunctionMockChangeResult(module_test, 'function_sum', function_change) def inner_test(): if sys.version_info < (3, 0): self.assertRaisesRegexp(TypeError, 'takes no arguments', module_test.function_sum, self.first_parameter, self.second_parameter) else: self.assertRaisesRegex(TypeError, 'positional arguments but 1 was given', module_test.function_sum, self.first_parameter, self.second_parameter) inner_test() def test_function_mock_change_result_no_function(self): def function_change(value): return value + 2 invalid_function_name = 'invalid_function' def inner_test(): @FunctionMockChangeResult(module_test, invalid_function_name, function_change) def call_test(): module_test.function_sum(1, 1) call_test() if sys.version_info < (3, 0): self.assertRaisesRegexp(AttributeError, invalid_function_name, inner_test) else: self.assertRaisesRegex(AttributeError, invalid_function_name, inner_test) class TestFunctionMockCheckCall(unittest.TestCase): def test_no_called(self): def inner_test(): @FunctionMockCheckCall(module_test, 'function_sum') def call_test(): pass call_test() self.assertRaises(ValueError, inner_test) def test_called(self): @FunctionMockCheckCall(module_test, 'function_sum') def inner_test(): return module_test.function_sum(2, 2) result = inner_test() self.assertEqual(result, 4, "The function result has been modified") def test_call_check_invocations_ok(self): @FunctionMockCheckCall(module_test, 'function_sum', expected_times=3) def inner_test(): module_test.function_sum(2, 2) module_test.function_sum(2, 2) return module_test.function_sum(2, 2) result = inner_test() module_test.function_sum(2, 2) self.assertEqual(result, 4, "The function result has been modified") def test_call_check_invocations_ko(self): @FunctionMockCheckCall(module_test, 'function_sum', expected_times=2) def inner_test(): module_test.function_sum(2, 2) module_test.function_sum(2, 2) return module_test.function_sum(2, 2) self.assertRaises(ValueError, inner_test) result = module_test.function_sum(2, 2) self.assertEqual(result, 4, "The function result has been modified") def test_call_change_return(self): @FunctionMockCheckCall(module_test, 'function_sum', return_value=3) def inner_test(): return module_test.function_sum(2, 2) result_change = inner_test() result_no_change = module_test.function_sum(2, 2) self.assertEqual(result_change, 3, "The function result has been modified") self.assertEqual(result_no_change, 4, "The function result has been modified") def test_call_change_return_0(self): @FunctionMockCheckCall(module_test, 'function_sum', expected_times=1, return_value=0) def inner_test(): return module_test.function_sum(2, 2) result_change = inner_test() result_no_change = module_test.function_sum(2, 2) self.assertEqual(result_change, 0, "The function result has been modified") self.assertEqual(result_no_change, 4, "The function result has been modified") def test_check_no_call_ok(self): @FunctionMockCheckCall(module_test, 'function_sum', expected_times=0) def inner_test(): return 3 result_no_change = module_test.function_sum(2, 2) self.assertEqual(result_no_change, 4, "The function result has been modified") def test_check_no_call_ko(self): @FunctionMockCheckCall(module_test, 'function_sum', expected_times=0) def inner_test(): return module_test.function_sum(2, 2) self.assertRaises(ValueError, inner_test)

38.715753

110

0.681203

1,326

11,305

5.474359

0.078431

0.10084

0.119025

0.115718

0.862516

0.822565

0.748863

0.725582

0.66359

0.625568

0

0.014661

0.239805

11,305

291

111

38.848797

0.829998

0

0.623853

0

0.08536

0

0.16055

1

0.247706

false

0.009174

0.036697

0.09633

0.426606

0

null

0

1

0

1

0

null

0

1

0

6

64b5391c7258de0feed045a9012767481dbf3a5e

836

py

Python

tests/test_preloaders.py

rohits2/iterlib

c239bb8f8485e01e281943bb6e4feea25b8e13d9

[ "MIT" ]

null

tests/test_preloaders.py

rohits2/iterlib

c239bb8f8485e01e281943bb6e4feea25b8e13d9

[ "MIT" ]

null

tests/test_preloaders.py

rohits2/iterlib

c239bb8f8485e01e281943bb6e4feea25b8e13d9

[ "MIT" ]

null

import pytest import iterlib import random @pytest.mark.timeout(10) def test_thread_loader_equality(): random_ints = [random.randint(0, 100) for _ in range(10000)] random_ints_sq = (x**2 for x in random_ints) random_ints_sq_list = [x**2 for x in random_ints] random_ints_thread_loader = iterlib.thread_preload(random_ints_sq) for i, v in enumerate(random_ints_thread_loader): assert random_ints_sq_list[i] == v @pytest.mark.timeout(10) def test_process_loader_equality(): random_ints = [random.randint(0, 100) for _ in range(10000)] random_ints_sq = (x**2 for x in random_ints) random_ints_sq_list = [x**2 for x in random_ints] random_ints_proc_loader = iterlib.process_preload(random_ints_sq) for i, v in enumerate(random_ints_proc_loader): assert random_ints_sq_list[i] == v

36.347826

70

0.740431

138

836

4.137681

0.224638

0.315236

0.168126

0.042032

0.809107

0.718039

0.61296

0

0.037303

0.166268

836

22

71

38

0.781923

0

0.526316

0

0.105263

1

0.105263

false

0

0.157895

0

0.263158

0

null

1

0

1

0

1

0

null

0

6

b3b415dd17be406cf74fa5b61a7523d349898dea

139

py

Python

hbmqtt/mqtt/puback.py

sjlongland/amqtt

3db7c9a3501be503beaded052006b4190538dc0e

[ "MIT" ]

null

hbmqtt/mqtt/puback.py

sjlongland/amqtt

3db7c9a3501be503beaded052006b4190538dc0e

[ "MIT" ]

null

hbmqtt/mqtt/puback.py

sjlongland/amqtt

3db7c9a3501be503beaded052006b4190538dc0e

[ "MIT" ]

null

import warnings from amqtt.mqtt.puback import * warnings.warn("importing hbmqtt is deprecated. Please import amqtt", DeprecationWarning)

23.166667

88

0.81295

17

139

6.647059

0.764706

0.247788

0

0.115108

139

5

89

27.8

0.918699

0

0.366906

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

b3c112802497ca70e219de9cbfbac98c0b4a7a6e

132

py

Python

aas_core_codegen/csharp/reporting/__init__.py

aas-core-works/aas-core-codegen

afec2cf363b6cb69816e7724a2b58626e2165869

[ "MIT" ]

5

2021-12-29T12:55:34.000Z

2022-03-01T17:57:21.000Z

aas_core_codegen/csharp/reporting/__init__.py

aas-core-works/aas-core-codegen

afec2cf363b6cb69816e7724a2b58626e2165869

[ "MIT" ]

10

2021-12-29T02:15:55.000Z

2022-03-09T11:04:22.000Z

aas_core_codegen/csharp/reporting/__init__.py

aas-core-works/aas-core-codegen

afec2cf363b6cb69816e7724a2b58626e2165869

[ "MIT" ]

2

2021-12-29T01:42:12.000Z

2022-02-15T13:46:33.000Z

"""Generate C# code for reporting errors.""" from aas_core_codegen.csharp.reporting import _generate generate = _generate.generate

26.4

55

0.80303

17

132

6

0.705882

0.470588

0

0.106061

132

4

56

33

0.864407

0.287879

0

1

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

1

0

null

0

1

0

6

b3d31cd0fdbbf2bb53c2c1b21e03c863e0f7bb7a

22

py

Python

examples/optics/__init__.py

abbasegbeyemi/pyqtgraph

6aeafce477d1d7eebb9d2fe824d4c5573ef9ceed

[ "MIT" ]

150

2018-03-27T16:45:37.000Z

2022-03-30T03:47:56.000Z

examples/optics/__init__.py

abbasegbeyemi/pyqtgraph

6aeafce477d1d7eebb9d2fe824d4c5573ef9ceed

[ "MIT" ]

67

2019-11-30T14:45:05.000Z

2022-03-14T20:26:06.000Z

examples/optics/__init__.py

abbasegbeyemi/pyqtgraph

6aeafce477d1d7eebb9d2fe824d4c5573ef9ceed

[ "MIT" ]

40

2018-04-06T19:42:21.000Z

2022-01-11T00:34:17.000Z

from .pyoptic import *

22

0.772727

3

22

5.666667

1

0

0.136364

22

1

22

0.894737

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

b3e040649ebde9c07b60b7aa6faade509d18de1c

39,099

py

Python

tests/unit/cluster_test.py

king7997/rubrik-sdk-for-python

6a691ec7e1e7ff57812512dcfc549d9052d55f7a

[ "MIT" ]

null

tests/unit/cluster_test.py

king7997/rubrik-sdk-for-python

6a691ec7e1e7ff57812512dcfc549d9052d55f7a

[ "MIT" ]

null

tests/unit/cluster_test.py

king7997/rubrik-sdk-for-python

6a691ec7e1e7ff57812512dcfc549d9052d55f7a

[ "MIT" ]

null

import pytest from rubrik_cdm.exceptions import InvalidParameterException, CDMVersionException, InvalidTypeException from rubrik_cdm import Connect def test_cluster_version(rubrik, mocker): def mock_get_v1_cluster_me_version(): return {'version': '5.0.1-1280'} mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_v1_cluster_me_version() assert rubrik.cluster_version() == "5.0.1-1280" def test_minimum_installed_cdm_version_met(rubrik, mocker): def mock_self_cluster_version(): return "5.0.1-1280" mock_cluster_version = mocker.patch('rubrik_cdm.Connect.cluster_version', autospec=True, spec_set=True) mock_cluster_version.return_value = mock_self_cluster_version() assert rubrik.minimum_installed_cdm_version("5.0") is True def test_minimum_installed_cdm_version_not_met(rubrik, mocker): def mock_self_cluster_version(): return "5.0.1-1280" mock_cluster_version = mocker.patch('rubrik_cdm.Connect.cluster_version', autospec=True, spec_set=True) mock_cluster_version.return_value = mock_self_cluster_version() assert rubrik.minimum_installed_cdm_version("5.2") is False def test_cluster_node_ip(rubrik, mocker): def mock_internal_cluster_me_node(): return { "hasMore": True, "data": [ { "id": "string", "brikId": "string", "status": "string", "ipAddress": "192.168.1.1", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } }, { "id": "string", "brikId": "string", "status": "string", "ipAddress": "192.168.1.2", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } }, { "id": "string", "brikId": "string", "status": "string", "ipAddress": "192.168.1.3", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } } ], "total": 0 } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_internal_cluster_me_node() assert rubrik.cluster_node_ip() == ["192.168.1.1", "192.168.1.2", "192.168.1.3"] def test_cluster_node_name(rubrik, mocker): def mock_internal_cluster_me_node(): return { "hasMore": True, "data": [ { "id": "RVM000A000001", "brikId": "string", "status": "string", "ipAddress": "string", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } }, { "id": "RVM000A000002", "brikId": "string", "status": "string", "ipAddress": "string", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } }, { "id": "RVM000A000003", "brikId": "string", "status": "string", "ipAddress": "string", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } } ], "total": 0 } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_internal_cluster_me_node() assert rubrik.cluster_node_name() == ["RVM000A000001", "RVM000A000002", "RVM000A000003"] def test_end_user_authorization_invalid_object(rubrik): with pytest.raises(InvalidParameterException): rubrik.end_user_authorization("object_name", "end_user", "not_a_supported_object_type") def test_end_user_authorization_invalid_end_user(rubrik, mocker): def mock_self_object_id(): return "VirtualMachine:::e6a7e6f1-6050-1ee33-9ba6-8e284e2801de-vm-38297" def mock_internal_user_username(): return [] mock_object_id = mocker.patch('rubrik_cdm.Connect.object_id', autospec=True, spec_set=True) mock_object_id.return_value = mock_self_object_id mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_internal_user_username() with pytest.raises(InvalidParameterException): rubrik.end_user_authorization("object_name", "end_user", "vmware") def test_end_user_authorization_idempotence(rubrik, mocker): def mock_self_object_id(): return "VirtualMachine:::e6a7e6f1-6050-1ee33-9ba6-8e284e2801de-vm-38297" def mock_internal_user_username(): return [ { "id": "User:::119283ae-22ea-13f3-bfe2-9387cdf1d4a", "authDomainId": "string", "username": "string", "firstName": "string", "lastName": "string", "emailAddress": "string", "contactNumber": "string", "mfaServerId": "string" } ] def mock_internal_authorization_role_end_user_principals(): return { "hasMore": True, "data": [ { "principal": "string", "privileges": { "destructiveRestore": [ "string" ], "restore": [ "VirtualMachine:::e6a7e6f1-6050-1ee33-9ba6-8e284e2801de-vm-38297" ], "onDemandSnapshot": [ "string" ], "restoreWithoutDownload": [ "string" ], "viewEvent": [ "string" ], "provisionOnInfra": [ "string" ], "viewReport": [ "string" ] }, "organizationId": "string" } ], "total": 0 } mock_object_id = mocker.patch('rubrik_cdm.Connect.object_id', autospec=True, spec_set=True) mock_object_id.return_value = mock_self_object_id() mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.side_effect = [mock_internal_user_username(), mock_internal_authorization_role_end_user_principals()] assert rubrik.end_user_authorization("object_name", "end_user", "vmware", 1) \ == 'No change required. The End User "end_user" is already authorized to interact with the "object_name" VM.' def test_end_user_authorization(rubrik, mocker): def mock_self_object_id(): return "VirtualMachine:::e6a7e6f1-6050-1ee33-9ba6-8e284e2801de-vm-38297" def mock_internal_user_username(): return [ { "id": "User:::119283ae-22ea-13f3-bfe2-9387cdf1d4a", "authDomainId": "string", "username": "string", "firstName": "string", "lastName": "string", "emailAddress": "string", "contactNumber": "string", "mfaServerId": "string" } ] def mock_internal_authorization_role_end_user_principals(): return { "hasMore": True, "data": [ { "principal": "string", "privileges": { "destructiveRestore": [ "string" ], "restore": [ "VirtualMachine:::e6a7e6r3-6050-1ee33-9ba6-8e284e2801de" ], "onDemandSnapshot": [ "string" ], "restoreWithoutDownload": [ "string" ], "viewEvent": [ "string" ], "provisionOnInfra": [ "string" ], "viewReport": [ "string" ] }, "organizationId": "string" } ], "total": 0 } def mock_internal_authorization_role_end_user(): return { "hasMore": False, "data": [ { "principal": "User:::119283ae-22ea-13f3-bfe2-9387cdf1d4a", "privileges": { "destructiveRestore": [], "restore": [ "VirtualMachine:::e6a7e6f1-6050-1ee33-9ba6-8e284e2801de-vm-38297-not-present" ], "onDemandSnapshot": [], "restoreWithoutDownload": [], "viewEvent": [], "provisionOnInfra": [], "viewReport": [] }, "organizationId": "Organization:::05e3ee0b-5ec1-e33b-88a5-d916855aff5f" } ], "total": 1 } mock_object_id = mocker.patch('rubrik_cdm.Connect.object_id', autospec=True, spec_set=True) mock_object_id.return_value = mock_self_object_id() mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.side_effect = [mock_internal_user_username(), mock_internal_authorization_role_end_user_principals()] mock_post = mocker.patch('rubrik_cdm.Connect.post', autospec=True, spec_set=True) mock_post.return_value = mock_internal_authorization_role_end_user() assert rubrik.end_user_authorization("object_name", "end_user", "vmware") \ == mock_internal_authorization_role_end_user() def test_add_vcenter_idempotence(rubrik, mocker): def mock_v1_vmware_vcenter_primary_cluster_id(): return { "hasMore": True, "data": [ { "caCerts": "string", "configuredSlaDomainId": "string", "id": "string", "name": "string", "configuredSlaDomainName": "string", "primaryClusterId": "string", "hostname": "vCenter-Hostname", "username": "string", "conflictResolutionAuthz": "AllowAutoConflictResolution", "configuredSlaDomainPolarisManagedId": "string" } ], "total": 1 } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_v1_vmware_vcenter_primary_cluster_id() assert rubrik.add_vcenter("vCenter-Hostname", "vcenter_username", "vcenter_password") == \ "No change required. The vCenter 'vCenter-Hostname' has already been added to the Rubrik cluster." def test_add_vcenter(rubrik, mocker): def mock_v1_vmware_vcenter_primary_cluster_id(): return { "hasMore": True, "data": [ { "caCerts": "string", "configuredSlaDomainId": "string", "id": "string", "name": "string", "configuredSlaDomainName": "string", "primaryClusterId": "string", "hostname": "string", "username": "string", "conflictResolutionAuthz": "AllowAutoConflictResolution", "configuredSlaDomainPolarisManagedId": "string" } ], "total": 1 } def mock_v1_vmware_vcenter(): return { "id": "string", "status": "string", "progress": 0, "startTime": "2019-04-17T02:46:12.097Z", "endTime": "2019-04-17T02:46:12.097Z", "nodeId": "string", "error": { "message": "string" }, "links": [ { "href": "www.example.com", "rel": "string" } ] } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_v1_vmware_vcenter_primary_cluster_id() mock_post = mocker.patch('rubrik_cdm.Connect.post', autospec=True, spec_set=True) mock_post.return_value = mock_v1_vmware_vcenter() assert rubrik.add_vcenter("vCenter-Hostname", "vcenter_username", "vcenter_password") == \ (mock_v1_vmware_vcenter(), "www.example.com") def test_configure_timezone_invalid_timezone(rubrik): with pytest.raises(InvalidParameterException): rubrik.configure_timezone("not_a_supported_timezone") def test_configure_timezone_idempotence(rubrik, mocker): def mock_get_v1_cluster_me(): return { "id": "string", "version": "string", "apiVersion": "string", "name": "string", "timezone": { "timezone": "America/Chicago" }, "geolocation": { "address": "string" }, "acceptedEulaVersion": "string", "latestEulaVersion": "string" } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_v1_cluster_me() assert rubrik.configure_timezone("America/Chicago") \ == "No change required. The Rubrik cluster is already configured with 'America/Chicago' as it's timezone." def test_configure_timezone(rubrik, mocker): def mock_get_v1_cluster_me(): return { "id": "string", "version": "string", "apiVersion": "string", "name": "string", "timezone": { "timezone": "America/Denver" }, "geolocation": { "address": "string" }, "acceptedEulaVersion": "string", "latestEulaVersion": "string" } def mock_patch_v1_cluster_me(): return { "id": "string", "version": "string", "apiVersion": "string", "name": "string", "timezone": { "timezone": "America/Denver" }, "geolocation": { "address": "string" }, "acceptedEulaVersion": "string", "latestEulaVersion": "string" } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_v1_cluster_me() mock_patch = mocker.patch('rubrik_cdm.Connect.patch', autospec=True, spec_set=True) mock_patch.return_value = mock_patch_v1_cluster_me() assert rubrik.configure_timezone("America/Chicago") == mock_patch_v1_cluster_me() def test_configure_ntp_invalid_type(rubrik): with pytest.raises(InvalidTypeException): rubrik.configure_ntp("not_a_list") def test_configure_syslog_invalid_protocol(rubrik): with pytest.raises(InvalidParameterException): rubrik.configure_syslog("syslog_ip", "not_a_valid_protocol") def test_configure_syslog_invalid_idempotence(rubrik, mocker): def mock_get_internal_syslog(): return { "hasMore": True, "data": [ { "hostname": "syslog_ip", "port": 514, "protocol": "TCP", "id": "string" } ], "total": 1 } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_syslog() assert rubrik.configure_syslog("syslog_ip", "TCP") == \ "No change required. The Rubrik cluster is already configured to use the syslog server 'syslog_ip' on port '514' using the 'TCP' protocol." def test_configure_syslog(rubrik, mocker): def mock_get_internal_syslog(): return { "hasMore": True, "data": [ { "hostname": "syslog_ip", "port": 514, "protocol": "TCP", "id": "string" } ], "total": 1 } def mock_delete_internal_syslog_id(): return {'status_code': '204'} def mock_post_internal_syslog(): return { "hostname": "syslog_ip_new", "port": 514, "protocol": "TCP", "id": "string" } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_syslog() mock_delete = mocker.patch('rubrik_cdm.Connect.delete', autospec=True, spec_set=True) mock_delete.return_value = mock_delete_internal_syslog_id() mock_post = mocker.patch('rubrik_cdm.Connect.post', autospec=True, spec_set=True) mock_post.return_value = mock_post_internal_syslog() assert rubrik.configure_syslog("syslog_ip_new", "TCP") == mock_post_internal_syslog() def test_configure_vlan_invalid_ip(rubrik): with pytest.raises(InvalidParameterException): rubrik.configure_vlan("vlan", "netmask", "not_valid_a_list_or_dict") def test_configure_vlan_invalid_number_of_vlans(rubrik, mocker): def mock_internal_cluster_me_node(): return { "hasMore": True, "data": [ { "id": "RVM000A000001", "brikId": "string", "status": "string", "ipAddress": "string", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } }, { "id": "RVM000A000002", "brikId": "string", "status": "string", "ipAddress": "string", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } }, { "id": "RVM000A000003", "brikId": "string", "status": "string", "ipAddress": "string", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } } ], "total": 0 } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_internal_cluster_me_node() with pytest.raises(InvalidParameterException): rubrik.configure_vlan("vlan", "netmask", ["IP_1", "IP_2"]) def test_configure_vlan(rubrik, mocker): def mock_internal_cluster_me_node(): return { "hasMore": True, "data": [ { "id": "RVM000A000001", "brikId": "string", "status": "string", "ipAddress": "string", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } }, { "id": "RVM000A000002", "brikId": "string", "status": "string", "ipAddress": "string", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } }, { "id": "RVM000A000003", "brikId": "string", "status": "string", "ipAddress": "string", "supportTunnel": { "isTunnelEnabled": True, "port": 0, "enabledTime": "2019-04-16T14:16:15.573Z", "lastActivityTime": "2019-04-16T14:16:15.573Z", "inactivityTimeoutInSeconds": 0 } } ], "total": 0 } def mock_internal_cluster_me_vlan(): return { "hasMore": True, "data": [ { "vlan": 0, "netmask": "string", "interfaces": [ { "node": "string", "ip": "string" } ] } ], "total": 0 } def mock_post_internal_cluster_me_vlan(): return {'status_code': '204'} mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.side_effect = [mock_internal_cluster_me_node(), mock_internal_cluster_me_vlan()] mock_post = mocker.patch('rubrik_cdm.Connect.post', autospec=True, spec_set=True) mock_post.return_value = mock_post_internal_cluster_me_vlan() assert rubrik.configure_vlan("100", "netmask", ["IP_1", "IP_2", "IP_3"]) == mock_post_internal_cluster_me_vlan() def test_configure_dns_servers_invalid_server_ip(rubrik): with pytest.raises(InvalidTypeException): rubrik.configure_dns_servers("not_a_valid_server_ip_type") def test_configure_dns_servers_idempotence(rubrik, mocker): def mock_get_internal_cluster_me_dns_nameserver(): return [ "server_1" ] mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_cluster_me_dns_nameserver() assert rubrik.configure_dns_servers(["server_1"]) == \ "No change required. The Rubrik cluster is already configured with the provided DNS servers." def test_configure_dns_servers(rubrik, mocker): def mock_get_internal_cluster_me_dns_nameserver(): return [ "server_1", "server_2" ] def mock_post_internal_cluster_me_dns_nameserver(): return {'status_code': '204'} mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_cluster_me_dns_nameserver() mock_post = mocker.patch('rubrik_cdm.Connect.post', autospec=True, spec_set=True) mock_post.return_value = mock_post_internal_cluster_me_dns_nameserver() assert rubrik.configure_dns_servers(["server_1"]) == mock_post_internal_cluster_me_dns_nameserver() def test_configure_search_domain_invalid_search_domain(rubrik): with pytest.raises(InvalidTypeException): rubrik.configure_search_domain("not_a_valid_search_domain_type") def test_configure_search_domain_idempotence(rubrik, mocker): def mock_get_internal_cluster_me_dns_search_domain(): return [ "domain.1", ] mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_cluster_me_dns_search_domain() assert rubrik.configure_search_domain(["domain.1"]) == \ "No change required. The Rubrik cluster is already configured with the provided DNS Search Domains." def test_configure_search_domain(rubrik, mocker): def mock_get_internal_cluster_me_dns_search_domain(): return [ "server_1", ] def mock_post_internal_cluster_me_dns_search_domain(): return {'status_code': '204'} mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_cluster_me_dns_search_domain() mock_post = mocker.patch('rubrik_cdm.Connect.post', autospec=True, spec_set=True) mock_post.return_value = mock_post_internal_cluster_me_dns_search_domain() assert rubrik.configure_search_domain(["domain.1"]) == mock_post_internal_cluster_me_dns_search_domain() def test_configure_smtp_settings_invalid_encryption(rubrik): with pytest.raises(InvalidParameterException): rubrik.configure_smtp_settings("hostname", "port", "from_email", "smtp_username", "smtp_password", "not_a_valid_encryption_value") def test_configure_smtp_settings_idempotence(rubrik, mocker): def mock_get_internal_smtp_instance(): return { "hasMore": True, "data": [ { "id": "string", "smtpHostname": "hostname", "smtpPort": 0, "smtpSecurity": "NONE", "smtpUsername": "smtp_username", "fromEmailId": "from_email" } ], "total": 1 } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_smtp_instance() assert rubrik.configure_smtp_settings("hostname", "0", "from_email", "smtp_username", "smtp_password", "NONE") == \ "No change required. The Rubrik cluster is already configured with the provided SMTP settings." def test_configure_smtp_settings_new(rubrik, mocker): def mock_get_internal_smtp_instance(): return { "hasMore": True, "data": [ { "id": "string", "smtpHostname": "string", "smtpPort": 0, "smtpSecurity": "string", "smtpUsername": "string", "fromEmailId": "string" } ], "total": 0 } def mock_post_internal_smtp_instance(): return { "id": "string", "smtpHostname": "string", "smtpPort": 0, "smtpSecurity": "string", "smtpUsername": "string", "fromEmailId": "string" } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_smtp_instance() mock_post = mocker.patch('rubrik_cdm.Connect.post', autospec=True, spec_set=True) mock_post.return_value = mock_post_internal_smtp_instance() assert rubrik.configure_smtp_settings("hostname", "0", "from_email", "smtp_username", "smtp_password", "NONE") == \ mock_post_internal_smtp_instance() def test_configure_smtp_settings_update(rubrik, mocker): def mock_get_internal_smtp_instance(): return { "hasMore": True, "data": [ { "id": "string", "smtpHostname": "string", "smtpPort": 0, "smtpSecurity": "string", "smtpUsername": "string", "fromEmailId": "string" } ], "total": 1 } def mock_patch_internal_smtp_instance_id(): return { "id": "string", "smtpHostname": "string", "smtpPort": 0, "smtpSecurity": "string", "smtpUsername": "string", "fromEmailId": "string" } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_smtp_instance() mock_patch = mocker.patch('rubrik_cdm.Connect.patch', autospec=True, spec_set=True) mock_patch.return_value = mock_patch_internal_smtp_instance_id() assert rubrik.configure_smtp_settings("hostname", "0", "from_email", "smtp_username", "smtp_password", "NONE") == \ mock_patch_internal_smtp_instance_id() def test_refresh_vcenter_no_wait(rubrik, mocker): def mock_object_id(): return "vCenter:::eeeb7c90-a074-1233-e6e6-90386f8c3d70" def mock_post_v1_vmware_vcenter_id_refresh(): return { "id": "string", "status": "string", "progress": 0, "startTime": "2019-04-17T21:22:14.214Z", "endTime": "2019-04-17T21:22:14.214Z", "nodeId": "string", "error": { "message": "string" }, "links": [ { "href": "build.rubrik.com", "rel": "string" } ] } mock_get_object_id = mocker.patch('rubrik_cdm.Connect.object_id', autospec=True, spec_set=True) mock_get_object_id.return_value = mock_object_id() mock_post = mocker.patch('rubrik_cdm.Connect.post', autospec=True, spec_set=True) mock_post.return_value = mock_post_v1_vmware_vcenter_id_refresh() assert rubrik.refresh_vcenter("vcenter_ip", False) == mock_post_v1_vmware_vcenter_id_refresh() def test_refresh_vcenter_wait_for_completion(rubrik, mocker): def mock_object_id(): return "vCenter:::eeeb7c90-a074-1233-e6e6-90386f8c3d70" def mock_job_status(): return { "id": "REFRESH_METADATA_eeeeb7c81-a074-4525-b5b5-81796f8c3d70_0d3e10b0-6741-4c1a-e208-c661325c1efd:::0", "status": "SUCCEEDED", "startTime": "2019-04-17T21:31:17.785Z", "endTime": "2019-04-17T21:31:39.056Z", "nodeId": "cluster:::RVM189S019012", "links": [ { "href": "REFRESH_METADATA_eeeeb7c81-a074-4525-b5b5-81796f8c3d70_0d3e10b0-6741-4c1a-e208-c661325c1efd:::0", "rel": "self" } ] } mock_get_object_id = mocker.patch('rubrik_cdm.Connect.object_id', autospec=True, spec_set=True) mock_get_object_id.return_value = mock_object_id() mock_common_api = mocker.patch('rubrik_cdm.Connect._common_api', autospec=True, spec_set=True) mock_common_api.return_value = mock_job_status() assert rubrik.refresh_vcenter("vcenter_ip", True) == mock_job_status() def test_create_user_idempotence(rubrik, mocker): def mock_get_internal_user(): return [ { "id": "string", "authDomainId": "string", "username": "string", "firstName": "string", "lastName": "string", "emailAddress": "string", "contactNumber": "string", "mfaServerId": "string" } ] mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_user() assert rubrik.create_user("username", "password") == \ "No change required. The user 'username' already exists on the Rubrik cluster." def test_create_user(rubrik, mocker): def mock_get_internal_user(): return [] def mock_post_internal_user(): return { "id": "string", "authDomainId": "string", "username": "username", "firstName": "string", "lastName": "string", "emailAddress": "string", "contactNumber": "string", "createdById": "string", "createTime": "string", "mfaServerId": "string" } mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_user() mock_post = mocker.patch('rubrik_cdm.Connect.post', autospec=True, spec_set=True) mock_post.return_value = mock_post_internal_user() assert rubrik.create_user("username", "password") == mock_post_internal_user() def test_read_only_authorization_minimum_installed_cdm_version(rubrik, mocker): mock_cluster_version = mocker.patch('rubrik_cdm.Connect.cluster_version', autospec=True, spec_set=True) mock_cluster_version.return_value = "4.1.2" with pytest.raises(CDMVersionException): rubrik.read_only_authorization("username") def test_read_only_authorization_invalid_user(rubrik, mocker): def mock_get_internal_user(): return [] mock_cluster_version = mocker.patch('rubrik_cdm.Connect.cluster_version', autospec=True, spec_set=True) mock_cluster_version.return_value = "5.0.1" mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.return_value = mock_get_internal_user() with pytest.raises(InvalidParameterException): rubrik.read_only_authorization("username") def test_read_only_authorization_idempotence(rubrik, mocker): def mock_get_internal_user(): return [ { "id": "string", "authDomainId": "string", "username": "string", "firstName": "string", "lastName": "string", "emailAddress": "string", "contactNumber": "string", "mfaServerId": "string" } ] def mock_get_internal_authorization_role_read_only_admin_principals(): return { "hasMore": True, "data": [ { "principal": "string", "privileges": { "basic": [ "Global:::All" ] }, "organizationId": "string" } ], "total": 0 } mock_cluster_version = mocker.patch('rubrik_cdm.Connect.cluster_version', autospec=True, spec_set=True) mock_cluster_version.return_value = "5.0.1" mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.side_effect = [mock_get_internal_user(), mock_get_internal_authorization_role_read_only_admin_principals()] assert rubrik.read_only_authorization("username") == \ "No change required. The user 'username' already has read-only permissions." def test_read_only_authorization(rubrik, mocker): def mock_get_internal_user(): return [ { "id": "string", "authDomainId": "string", "username": "string", "firstName": "string", "lastName": "string", "emailAddress": "string", "contactNumber": "string", "mfaServerId": "string" } ] def mock_get_internal_authorization_role_read_only_admin_principals(): return { "hasMore": True, "data": [ { "principal": "string", "privileges": { "basic": [ "string" ] }, "organizationId": "string" } ], "total": 0 } def mock_post_internal_authorization_role_read_only_admin(): return { "hasMore": True, "data": [ { "principal": "string", "privileges": { "basic": [ "string" ] }, "organizationId": "string" } ], "total": 1 } mock_cluster_version = mocker.patch('rubrik_cdm.Connect.cluster_version', autospec=True, spec_set=True) mock_cluster_version.return_value = "5.0.1" mock_get = mocker.patch('rubrik_cdm.Connect.get', autospec=True, spec_set=True) mock_get.side_effect = [mock_get_internal_user(), mock_get_internal_authorization_role_read_only_admin_principals()] mock_post = mocker.patch('rubrik_cdm.Connect.post', autospec=True, spec_set=True) mock_post.return_value = mock_post_internal_authorization_role_read_only_admin() assert rubrik.read_only_authorization("username") == mock_post_internal_authorization_role_read_only_admin()

34.631532

147

0.532034

3,548

39,099

5.549324

0.074972

0.03342

0.044035

0.051806

0.89644

0.839301

0.800904

0.760323

0.723805

0.699172

0

0.04698

0.355431

39,099

1,128

148

34.662234

0.734267

0

0.649336

0

0.003319

0.254252

0.092765

0

0.029867

1

0.100664

false

0.00885

0.003319

0.057522

0.161504

0

null

0

1

0

null

0

6

374d747e117617bc056bc2c94da7f6a24dce3269

25

py

Python

Morton3D/__init__.py

Jianningli/Morton3D

7a58e067f23cbd1ff433219a4a6e4b0b0b3f8cdd

[ "MIT" ]

1

2020-08-24T08:13:01.000Z

Morton3D/__init__.py

Jianningli/Morton3D

7a58e067f23cbd1ff433219a4a6e4b0b0b3f8cdd

[ "MIT" ]

null

Morton3D/__init__.py

Jianningli/Morton3D

7a58e067f23cbd1ff433219a4a6e4b0b0b3f8cdd

[ "MIT" ]

null

from .Morton3D import *

8.333333

23

0.72

3

25

6

1

0

0.05

0.2

25

2

24

12.5

0.85

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

377760793eb22d4545e17687b9ee614a361a9a5e

20

py

Python

cantera_tools/__init__.py

amarkpayne/ampayne_tools

a47e9baa70edaedfb655ab51f79bf5035eaacd83

[ "MIT" ]

null

cantera_tools/__init__.py

amarkpayne/ampayne_tools

a47e9baa70edaedfb655ab51f79bf5035eaacd83

[ "MIT" ]

null

cantera_tools/__init__.py

amarkpayne/ampayne_tools

a47e9baa70edaedfb655ab51f79bf5035eaacd83

[ "MIT" ]

null

from tools import *

10

19

0.75

3

20

5

1

0

0.2

20

1

20

0.9375

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

378226377e34e449760fd9cbac470ce87823480e

2,316

py

Python

tests/backend/metadata/test_hatch.py

ashemedai/hatch

9ec00d5e027c992efbc16dd777b1f6926368b6bf

[ "MIT" ]

null

tests/backend/metadata/test_hatch.py

ashemedai/hatch

9ec00d5e027c992efbc16dd777b1f6926368b6bf

[ "MIT" ]

null

tests/backend/metadata/test_hatch.py

ashemedai/hatch

9ec00d5e027c992efbc16dd777b1f6926368b6bf

[ "MIT" ]

null

import pytest from hatchling.metadata.core import HatchMetadata class TestMetadataConfig: def test_default(self, isolation): config = {} metadata = HatchMetadata(str(isolation), config, None) assert metadata.metadata_config == metadata.metadata_config == {} def test_not_table(self, isolation): config = {'metadata': 0} metadata = HatchMetadata(str(isolation), config, None) with pytest.raises(TypeError, match='Field `tool.hatch.metadata` must be a table'): _ = metadata.metadata_config def test_correct(self, isolation): config = {'metadata': {'option': True}} metadata = HatchMetadata(str(isolation), config, None) assert metadata.metadata_config == metadata.metadata_config == {'option': True} class TestBuildConfig: def test_default(self, isolation): config = {} metadata = HatchMetadata(str(isolation), config, None) assert metadata.build_config == metadata.build_config == {} def test_not_table(self, isolation): config = {'build': 0} metadata = HatchMetadata(str(isolation), config, None) with pytest.raises(TypeError, match='Field `tool.hatch.build` must be a table'): _ = metadata.build_config def test_correct(self, isolation): config = {'build': {'reproducible': True}} metadata = HatchMetadata(str(isolation), config, None) assert metadata.build_config == metadata.build_config == {'reproducible': True} class TestBuildTargets: def test_default(self, isolation): config = {} metadata = HatchMetadata(str(isolation), config, None) assert metadata.build_targets == metadata.build_targets == {} def test_not_table(self, isolation): config = {'build': {'targets': 0}} metadata = HatchMetadata(str(isolation), config, None) with pytest.raises(TypeError, match='Field `tool.hatch.build.targets` must be a table'): _ = metadata.build_targets def test_correct(self, isolation): config = {'build': {'targets': {'wheel': {'versions': ['standard']}}}} metadata = HatchMetadata(str(isolation), config, None) assert metadata.build_targets == metadata.build_targets == {'wheel': {'versions': ['standard']}}

34.567164

104

0.65544

241

2,316

6.174274

0.174274

0.181452

0.114919

0.199597

0.868952

0.807796

0.774194

0.692876

0.617608

0.612231

0

0.001657

0.21848

2,316

66

105

35.090909

0.820442

0

0.477273

0

0.111831

0.020294

0

0.136364

1

0.204545

false

0

0.045455

0

0.318182

0

null

0

1

0

1

0

null

0

1

0

6

378e5ecda54ca6d9324a219f8fdbd4b8dca2abcf

16,269

py

Python

src/ckanext-userdatasets/ckanext/userdatasets/tests/test_auth_actions_unit.py

CI-WATER/portal

c61660c8389c7af82517cbd0154bc83f9737c4d1

[ "BSD-3-Clause" ]

1

2017-12-22T04:53:06.000Z

src/ckanext-userdatasets/ckanext/userdatasets/tests/test_auth_actions_unit.py

CI-WATER/portal

c61660c8389c7af82517cbd0154bc83f9737c4d1

[ "BSD-3-Clause" ]

4

2015-04-16T19:41:17.000Z

2020-10-25T18:02:14.000Z

src/ckanext-userdatasets/ckanext/userdatasets/tests/test_auth_actions_unit.py

CI-WATER/portal

c61660c8389c7af82517cbd0154bc83f9737c4d1

[ "BSD-3-Clause" ]

null

"""Unit tests on the auth functions in ckanext.userdatasets.logic.auth These tests test the auth functions' implementation independently of CKAN. For that reason the CKAN calls are patched. The first two tests check ckanext.userdatasets.auth.auth.user_owns_package_as_member and ckanext.userdatasets.auth.auth.user_is_member_of_package_org extensively; these function are then patched when testing the auth functions to ensure that each function's logic is tested rather than re-testing user_owns_package_as_member each time. """ from mock import patch, Mock from nose import SkipTest from nose.tools import assert_equal from ckanext.userdatasets.logic.auth.auth import user_owns_package_as_member, user_is_member_of_package_org from ckanext.userdatasets.logic.auth.create import package_create, resource_create, resource_view_create from ckanext.userdatasets.logic.auth.update import package_update, resource_update, resource_view_update from ckanext.userdatasets.logic.auth.delete import package_delete, resource_delete, resource_view_delete class SMock: def __init__(self, **k): for i in k: setattr(self, i, k[i]) class TestAuthActionsUnit: """Perform unit tests on the auth functions in ckanext.userdatasets.logic.auth""" @classmethod def setup_class(cls): # Check whether this version of CKAN has resource views. Remove this test when branch 1251 gets merged into CKAN master. try: from ckan.logic.action.create import resource_view_create cls.has_resource_views = True except ImportError: cls.has_resource_views = False @patch('ckanext.userdatasets.logic.auth.auth.users_role_for_group_or_org') def test_user_is_member_of_package_org(self, mock_users_role): """Test ckanext.userdatasets.logic.auth.auth.user_is_member_of_package_org Ensure all the possible combination of parameters always lead to the expected result. """ tests = [ { 'package': SMock(owner_org='carrot'), 'user': SMock(name='turtle'), 'role': 'member', 'result': True }, { 'package': SMock(owner_org='carrot'), 'user': SMock(name='turtle'), 'role': 'editor', 'result': False }, { 'package': SMock(owner_org=None), 'user': SMock(name='turtle'), 'role': 'member', 'result': False }, ] for t in tests: mock_users_role.return_value = t['role'] assert_equal(user_is_member_of_package_org(t['user'], t['package']), t['result']) @patch('ckanext.userdatasets.logic.auth.auth.users_role_for_group_or_org') def test_user_owns_package_as_member(self, mock_users_role): """Test ckanext.userdatasets.logic.auth.auth.user_owns_package_as_member Ensure all the possible combination of parameters always lead to the expected result. """ tests = [ { 'user': SMock(id=444, name='turtle'), 'package': SMock(creator_user_id=444, owner_org='carrot'), 'role': 'member', 'result': True }, { 'user': SMock(id=445, name='turtle'), 'package': SMock(creator_user_id=444, owner_org='carrot'), 'role': 'member', 'result': False }, { 'user': SMock(id=444, name='turtle'), 'package': SMock(creator_user_id=444, owner_org=False), 'role': 'member', 'result': False }, { 'user': SMock(id=444, name='turtle'), 'package': SMock(creator_user_id=444, owner_org='carrot'), 'role': 'editor', 'result': False } ] for t in tests: mock_users_role.return_value = t['role'] assert_equal(user_owns_package_as_member(t['user'], t['package']), t['result']) @patch('ckanext.userdatasets.logic.auth.create.users_role_for_group_or_org') @patch('ckanext.userdatasets.logic.auth.create.has_user_permission_for_some_org') def test_package_create(self, mock_has_perm, mock_users_role): """Test ckanext.userdatasets.logic.auth.create.package_create. Ensure all the possible combination of parameters always lead to the expected result. """ tests = [ { 'context': {'auth_user_obj': SMock(name='turtle')}, 'data_dict': {'owner_org': 'carrot'}, 'role': 'member', 'has_perm': True, 'result': {'success': True}, }, { 'context': {'auth_user_obj': SMock(name='turtle')}, 'data_dict': {'owner_org': 'carrot'}, 'role': 'editor', 'has_perm': True, 'result': 'fallback', }, { 'context': {'auth_user_obj': SMock(name='turtle')}, 'data_dict': False, 'role': 'member', 'has_perm': True, 'result': {'success': True}, }, { 'context': {'auth_user_obj': SMock(name='turtle')}, 'data_dict': {'other':'value'}, 'role': 'member', 'has_perm': True, 'result': {'success': True}, }, { 'context': {'auth_user_obj': SMock(name='turtle')}, 'data_dict': False, 'role': 'member', 'has_perm': False, 'result': 'fallback', }, { 'context': {'auth_user_obj': SMock(name='turtle')}, 'data_dict': {'other':'value'}, 'role': 'member', 'has_perm': False, 'result': 'fallback', }, ] for t in tests: mock_users_role.return_value = t['role'] mock_has_perm.return_value = t['has_perm'] fb = Mock(return_value='fallback') assert_equal(package_create(fb, t['context'], t['data_dict']), t['result']) @patch('ckanext.userdatasets.logic.auth.create.user_is_member_of_package_org') @patch('ckanext.userdatasets.logic.auth.create.user_owns_package_as_member') @patch('ckanext.userdatasets.logic.auth.create.get_package_object') def test_resource_create(self, mock_get_package, mock_user_owns, mock_user_is_member): """Test ckanext.userdatasets.logic.auth.create.resource_create. Ensure all routes are tested. """ tests = [ { 'user_owns': True, 'user_is_member': True, 'result': {'success': True} }, { 'user_owns': False, 'user_is_member': True, 'result': {'success': False} }, { 'user_owns': False, 'user_is_member': False, 'result': 'fallback' }, ] mock_get_package.return_value = 1 fb = Mock(return_value='fallback') for t in tests: mock_user_owns.return_value = t['user_owns'] mock_user_is_member.return_value = t['user_is_member'] assert_equal(resource_create(fb, {'auth_user_obj': 1}, {}), t['result']) @patch('ckanext.userdatasets.logic.auth.create.user_is_member_of_package_org') @patch('ckanext.userdatasets.logic.auth.create.user_owns_package_as_member') @patch('ckanext.userdatasets.logic.auth.create.get_resource_object') def test_resource_view_create(self, mock_get_resource, mock_user_owns, mock_user_is_member): """Test ckanext.userdatasets.logic.auth.create.resource_view_create. Ensure all routes are tested. """ if not self.has_resource_views: raise SkipTest("This version of CKAN does not have resource views") tests = [ { 'user_owns': True, 'user_is_member': True, 'result': {'success': True} }, { 'user_owns': False, 'user_is_member': True, 'result': {'success': False} }, { 'user_owns': False, 'user_is_member': False, 'result': 'fallback' }, ] mock_get_resource.return_value = SMock(resource_group=SMock(package=1)) fb = Mock(return_value='fallback') for t in tests: mock_user_owns.return_value = t['user_owns'] mock_user_is_member.return_value = t['user_is_member'] assert_equal(resource_view_create(fb, {'auth_user_obj': 1}, {'resource_id':1}), t['result']) @patch('ckanext.userdatasets.logic.auth.update.user_owns_package_as_member') @patch('ckanext.userdatasets.logic.auth.update.get_package_object') def test_package_update(self, mock_get_package, mock_user_owns): """Test ckanext.userdatasets.logic.auth.update.package_update. Ensure both success and failure routes are tested. """ mock_get_package.return_value = 1 mock_user_owns.return_value = True assert_equal(package_update(None, {'auth_user_obj': 1}, {}), {'success': True}) mock_user_owns.return_value = False fb = Mock(return_value='fallback') assert_equal(package_update(fb, {'auth_user_obj': 1}, {}), 'fallback') @patch('ckanext.userdatasets.logic.auth.update.user_is_member_of_package_org') @patch('ckanext.userdatasets.logic.auth.update.user_owns_package_as_member') @patch('ckanext.userdatasets.logic.auth.update.get_resource_object') def test_resource_update(self, mock_get_resource, mock_user_owns, mock_user_is_member): """Test ckanext.userdatasets.logic.auth.create.resource_update. Ensure all routes are tested. """ tests = [ { 'user_owns': True, 'user_is_member': True, 'result': {'success': True} }, { 'user_owns': False, 'user_is_member': True, 'result': {'success': False} }, { 'user_owns': False, 'user_is_member': False, 'result': 'fallback' }, ] mock_get_resource.return_value = SMock(resource_group=SMock(package=1)) fb = Mock(return_value='fallback') for t in tests: mock_user_owns.return_value = t['user_owns'] mock_user_is_member.return_value = t['user_is_member'] assert_equal(resource_update(fb, {'auth_user_obj': 1}, {}), t['result']) @patch('ckanext.userdatasets.logic.auth.update.user_is_member_of_package_org') @patch('ckanext.userdatasets.logic.auth.update.user_owns_package_as_member') @patch('ckanext.userdatasets.logic.auth.update.get_resource_object') @patch('ckanext.userdatasets.logic.auth.update.get_resource_view_object') def test_resource_view_update(self, mock_get_resource_view, mock_get_resource, mock_user_owns, mock_user_is_member): """Test ckanext.userdatasets.logic.auth.create.resource_view_update. Ensure all routes are tested. """ if not self.has_resource_views: raise SkipTest("This version of CKAN does not have resource views") tests = [ { 'user_owns': True, 'user_is_member': True, 'result': {'success': True} }, { 'user_owns': False, 'user_is_member': True, 'result': {'success': False} }, { 'user_owns': False, 'user_is_member': False, 'result': 'fallback' }, ] mock_get_resource_view.return_value = SMock(resource_id=1) mock_get_resource.return_value = SMock(resource_group=SMock(package=1)) fb = Mock(return_value='fallback') for t in tests: mock_user_owns.return_value = t['user_owns'] mock_user_is_member.return_value = t['user_is_member'] assert_equal(resource_view_update(fb, {'auth_user_obj': 1}, {'resource_id':1}), t['result']) @patch('ckanext.userdatasets.logic.auth.delete.user_owns_package_as_member') @patch('ckanext.userdatasets.logic.auth.delete.get_package_object') def test_package_delete(self, mock_get_package, mock_user_owns): """Test ckanext.userdatasets.logic.auth.delete.package_delete. Ensure both success and failure routes are tested. """ mock_get_package.return_value = 1 mock_user_owns.return_value = True assert_equal(package_delete(None, {'auth_user_obj': 1}, {}), {'success': True}) mock_user_owns.return_value = False fb = Mock(return_value='fallback') assert_equal(package_delete(fb, {'auth_user_obj': 1}, {}), 'fallback') @patch('ckanext.userdatasets.logic.auth.delete.user_is_member_of_package_org') @patch('ckanext.userdatasets.logic.auth.delete.user_owns_package_as_member') @patch('ckanext.userdatasets.logic.auth.delete.get_resource_object') def test_resource_delete(self, mock_get_resource, mock_user_owns, mock_user_is_member): """Test ckanext.userdatasets.logic.auth.create.resource_delete. Ensure all routes are tested. """ tests = [ { 'user_owns': True, 'user_is_member': True, 'result': {'success': True} }, { 'user_owns': False, 'user_is_member': True, 'result': {'success': False} }, { 'user_owns': False, 'user_is_member': False, 'result': 'fallback' }, ] mock_get_resource.return_value = SMock(resource_group=SMock(package=1)) fb = Mock(return_value='fallback') for t in tests: mock_user_owns.return_value = t['user_owns'] mock_user_is_member.return_value = t['user_is_member'] assert_equal(resource_delete(fb, {'auth_user_obj': 1}, {}), t['result']) @patch('ckanext.userdatasets.logic.auth.delete.user_is_member_of_package_org') @patch('ckanext.userdatasets.logic.auth.delete.user_owns_package_as_member') @patch('ckanext.userdatasets.logic.auth.delete.get_resource_object') @patch('ckanext.userdatasets.logic.auth.delete.get_resource_view_object') def test_resource_view_delete(self, mock_get_resource_view, mock_get_resource, mock_user_owns, mock_user_is_member): """Test ckanext.userdatasets.logic.auth.create.resource_view_delete. Ensure all routes are tested. """ if not self.has_resource_views: raise SkipTest("This version of CKAN does not have resource views") tests = [ { 'user_owns': True, 'user_is_member': True, 'result': {'success': True} }, { 'user_owns': False, 'user_is_member': True, 'result': {'success': False} }, { 'user_owns': False, 'user_is_member': False, 'result': 'fallback' }, ] mock_get_resource_view.return_value = SMock(resource_id=1) mock_get_resource.return_value = SMock(resource_group=SMock(package=1)) fb = Mock(return_value='fallback') for t in tests: mock_user_owns.return_value = t['user_owns'] mock_user_is_member.return_value = t['user_is_member'] assert_equal(resource_view_delete(fb, {'auth_user_obj': 1}, {'resource_id':1}), t['result'])

40.979849

129

0.583687

1,830

16,269

4.882514

0.075956

0.05014

0.063123

0.141018

0.879239

0.840739

0.806715

0.787129

0.753106

0

0.004481

0.300449

16,269

396

130

41.083333

0.780599

0.121704

0

0.602524

0

0.272565

0.127778

0

0.044164

1

0.041009

false

0

0.028391

0

0.07571

0

null

0

1

0

null

0

6

37bb3e96c31b694bb15ea7891fdc2993bbe46013

39

py

Python

src/python/qeqiskit/simulator/__init__.py

TimWeaving/qe-qiskit

fe280835971f5c0203a5143f768cbf61fdef722c

[ "Apache-2.0" ]

8

2020-10-06T13:54:36.000Z

2022-03-03T23:22:31.000Z

src/python/qeqiskit/simulator/__init__.py

TimWeaving/qe-qiskit

fe280835971f5c0203a5143f768cbf61fdef722c

[ "Apache-2.0" ]

39

2020-11-26T14:46:52.000Z

2022-03-31T12:39:09.000Z

src/python/qeqiskit/simulator/__init__.py

TimWeaving/qe-qiskit

fe280835971f5c0203a5143f768cbf61fdef722c

[ "Apache-2.0" ]

2

2021-01-14T22:26:46.000Z

2021-09-30T13:40:59.000Z

from .simulator import QiskitSimulator

19.5

38

0.871795

4

39

8.5

1

0

0.102564

39

1

39

0.971429

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

805c7abf41e06accdf55af22ddf647cecb31459f

91

py

Python

oldstuff/meh/api.py

miusuarioamigo/python-Le

dbb653255dab7d11b87f25eec94bcce63a86aa42

[ "MIT" ]

null

oldstuff/meh/api.py

miusuarioamigo/python-Le

dbb653255dab7d11b87f25eec94bcce63a86aa42

[ "MIT" ]

null

oldstuff/meh/api.py

miusuarioamigo/python-Le

dbb653255dab7d11b87f25eec94bcce63a86aa42

[ "MIT" ]

null

def say_hello(): return {"pepe": "Regresame lo que sea y mata a un pato!", "otra":"2"}

30.333333

73

0.615385

16

91

3.4375

1

0

0.013699

0.197802

91

2

74

45.5

0.739726

0

0.516484

0

1

0.5

true

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

806fa604249be504d1e65d95b95c658fc5262e6e

166

py

Python

tests/unit/test_dwave_trng.py

sea212/qpu

2ac23e78aed1b358640d6848406427cb2bf2b73d

[ "MIT" ]

1

2020-10-20T07:04:15.000Z

tests/unit/test_dwave_trng.py

sea212/qpu

2ac23e78aed1b358640d6848406427cb2bf2b73d

[ "MIT" ]

null

tests/unit/test_dwave_trng.py

sea212/qpu

2ac23e78aed1b358640d6848406427cb2bf2b73d

[ "MIT" ]

null

import pytest # noqa: F401 import qpu.dwave.cryptography.trng as dwave_trng # noqa: F401 def test_random_deviation(): # TODO: implement assert(42 == 42)

18.444444

62

0.704819

23

166

4.956522

0.73913

0.140351

0

0.075188

0.198795

166

8

63

20.75

0.781955

0.222892

0

0.125

0.25

1

0.25

true

0

0.5

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

807fd672b02e1d171dc0dda168327902a516fca4

167

py

Python

thinc/tests/mypy/modules/fail_no_plugin.py

TheVinhLuong102/thinc

7b54f728ddec7765a1d8a5e553d4b4b90b9edaec

[ "MIT" ]

2,542

2016-10-20T07:02:59.000Z

2022-03-30T20:18:35.000Z

thinc/tests/mypy/modules/fail_no_plugin.py

TheVinhLuong102/thinc

7b54f728ddec7765a1d8a5e553d4b4b90b9edaec

[ "MIT" ]

453

2016-10-19T21:09:35.000Z

2022-03-31T11:01:15.000Z

thinc/tests/mypy/modules/fail_no_plugin.py

TheVinhLuong102/thinc

7b54f728ddec7765a1d8a5e553d4b4b90b9edaec

[ "MIT" ]

265

2016-11-14T14:53:58.000Z

2022-03-31T02:25:24.000Z

from thinc.api import chain, Relu, reduce_max, Softmax, add bad_model = chain(Relu(10), reduce_max(), Softmax()) bad_model2 = add(Relu(10), reduce_max(), Softmax())

27.833333

59

0.718563

26

167

4.423077

0.538462

0.234783

0.417391

0.26087

0.382609

0

0.034014

0.11976

167

5

60

33.4

0.748299

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

6

80b6f78f4b0cbf9d47ea87a56e926f72362e2693

180

py

Python

tests/test_input_thermo_elasticity_ess.py

Gkdnz/SfePy

a3a39d4e087705e9e0e8884cbf63513a2ded2108

[ "BSD-3-Clause" ]

null

tests/test_input_thermo_elasticity_ess.py

Gkdnz/SfePy

a3a39d4e087705e9e0e8884cbf63513a2ded2108

[ "BSD-3-Clause" ]

null

tests/test_input_thermo_elasticity_ess.py

Gkdnz/SfePy

a3a39d4e087705e9e0e8884cbf63513a2ded2108

[ "BSD-3-Clause" ]

null

input_name = '../examples/multi_physics/thermo_elasticity_ess.py' output_name = 'test_thermo_elasticity_ess.vtk' from tests_basic import TestInput class Test(TestInput): pass

25.714286

65

0.811111

25

180

5.48

0.76

0.233577

0.277372

0

0.1

180

6

66

30

0.845679

0

0.444444

0

1

0

false

0.2

0

0.4

0

1

0

null

1

0

1

0

1

null

0

1

0

6

80bf9522d06da3ca0067493a14d9e8c1ae06aa83

39

py

Python

easyDataverse/__init__.py

JR-1991/easyDataverse

f4ed6c4b84193207247cd28375f9dac47c77f7d8

[ "MIT" ]

1

2022-01-19T14:47:14.000Z

easyDataverse/__init__.py

JR-1991/easyDataverse

f4ed6c4b84193207247cd28375f9dac47c77f7d8

[ "MIT" ]

1

2022-02-22T15:33:11.000Z

2022-02-22T15:34:08.000Z

easyDataverse/__init__.py

JR-1991/easyDataverse

f4ed6c4b84193207247cd28375f9dac47c77f7d8

[ "MIT" ]

null

from easyDataverse.core import Dataset

19.5

38

0.871795

5

39

6.8

1

0

0.102564

39

1

39

0.971429

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

80ebe605592dc8cb9ae71ae594f35e113b7c9caa

139

py

Python

tests/zenko_tests/python_tests/zenko_e2e/fixtures/__init__.py

Public-Cloud-Projects/Zenko

d62a7bad90b69108bbf9ea1cbd2f9b983f1235b7

[ "Apache-2.0" ]

453

2017-07-11T13:14:05.000Z

2022-03-31T20:50:01.000Z

tests/zenko_tests/python_tests/zenko_e2e/fixtures/__init__.py

Public-Cloud-Projects/Zenko

d62a7bad90b69108bbf9ea1cbd2f9b983f1235b7

[ "Apache-2.0" ]

987

2017-07-11T16:56:45.000Z

2022-03-31T19:36:10.000Z

tests/zenko_tests/python_tests/zenko_e2e/fixtures/__init__.py

Public-Cloud-Projects/Zenko

d62a7bad90b69108bbf9ea1cbd2f9b983f1235b7

[ "Apache-2.0" ]

100

2017-07-11T16:16:29.000Z

2022-03-11T15:07:54.000Z

from .backend import * from .bucket import * from .data import * from .replication import * from .object import * from .lifecycle import *

19.857143

26

0.741007

18

139

5.722222

0.444444

0.485437

0

0.172662

139

6

27

23.166667

0.895652

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

03e69e14f24dd5c65abb80e9220c910dddf91c08

40

py

Python

tests/__init__.py

KSanthanam/RaspberryPiMovementDetector

a415e5aca22fa41ce0eba0b61cf56d3035f92f64

[ "MIT" ]

null

tests/__init__.py

KSanthanam/RaspberryPiMovementDetector

a415e5aca22fa41ce0eba0b61cf56d3035f92f64

[ "MIT" ]

1

2020-05-21T01:40:11.000Z

2020-05-26T03:44:08.000Z

tests/__init__.py

KSanthanam/RaspberryPiMovementDetector

a415e5aca22fa41ce0eba0b61cf56d3035f92f64

[ "MIT" ]

1

2020-05-21T17:33:04.000Z

from MovementDetector.Watch import Watch

40

0.9

5

40

7.2

0.8

0

0.075

40

1

40

0.972973

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

206ee6dce1d82fde791de6be693e2f6f71dbce96

29

py

Python

python/app/__init__.py

manneohrstrom/fashion

1bbafdc88446fd12ee8ec4fcbf00a28762c9f67f

[ "Apache-2.0" ]

null

python/app/__init__.py

manneohrstrom/fashion

1bbafdc88446fd12ee8ec4fcbf00a28762c9f67f

[ "Apache-2.0" ]

null

python/app/__init__.py

manneohrstrom/fashion

1bbafdc88446fd12ee8ec4fcbf00a28762c9f67f

[ "Apache-2.0" ]

null

from .dialog import AppDialog

29

0.862069

4

29

6.25

1

0

0.103448

29

1

29

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

2086aac577497edb949c911b9284f13b72ab9c3d

39

py

Python

hello.py

KamishDamani/MB215Lab1

e775cb40de55f9cf96b911748a49be31c891f540

[ "MIT" ]

null

hello.py

KamishDamani/MB215Lab1

e775cb40de55f9cf96b911748a49be31c891f540

[ "MIT" ]

null

hello.py

KamishDamani/MB215Lab1

e775cb40de55f9cf96b911748a49be31c891f540

[ "MIT" ]

null

print("hello world from Kamish Damani")

39

0.794872

6

39

5.166667

1

0

0.102564

39

1

39

0.885714

0

0.75

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

456b83c4bfcfe854878e47a58151bf0cfb62f611

256

py

Python

pastpy/impl/dbf/dbf_database_configuration.py

minorg/pastpy

81b26442046e11c6bd8f36586cf7db16ac9d8322

[ "BSD-2-Clause" ]

null

pastpy/impl/dbf/dbf_database_configuration.py

minorg/pastpy

81b26442046e11c6bd8f36586cf7db16ac9d8322

[ "BSD-2-Clause" ]

38

2018-03-18T00:48:26.000Z

2018-12-16T00:47:30.000Z

pastpy/impl/dbf/dbf_database_configuration.py

minorg/pastpy

81b26442046e11c6bd8f36586cf7db16ac9d8322

[ "BSD-2-Clause" ]

null

from pathlib import Path from typing import Optional, NamedTuple class DbfDatabaseConfiguration(NamedTuple): pp_images_dir_path: Optional[Path] = None pp_install_dir_path: Optional[Path] = None pp_objects_dbf_file_path: Optional[Path] = None

28.444444

51

0.792969

34

256

5.676471

0.5

0.186529

0.248705

0.310881

0.259067

0

0.144531

256

8

52

32

0.881279

0

1

0

true

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

45a5b92a04834f5e804a15204b391a8d4dc8028b

117

py

Python

okta/models/schema/UserProfileCustomSubschema.py

CloudRunnerInc/oktasdk-python

b2d19418d2bd0a8c1bbf3764a69e83c148e42a41

[ "Apache-2.0" ]

null

okta/models/schema/UserProfileCustomSubschema.py

CloudRunnerInc/oktasdk-python

b2d19418d2bd0a8c1bbf3764a69e83c148e42a41

[ "Apache-2.0" ]

3

2018-01-05T20:23:12.000Z

2019-03-06T12:00:58.000Z

okta/models/schema/UserProfileCustomSubschema.py

CloudRunnerInc/oktasdk-python

b2d19418d2bd0a8c1bbf3764a69e83c148e42a41

[ "Apache-2.0" ]

1

2019-10-23T04:24:49.000Z

from okta.models.schema import BaseCustomSubschema class UserProfileCustomSubschema(BaseCustomSubschema): pass

19.5

54

0.846154

10

117

9.9

0.9

0

0.111111

117

5

55

23.4

0.951923

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

afdabf1bd5812c511114258c48c9cb62a968d358

98

py

Python

cogs/__init__.py

gio101046/pyvis

db2a8525e687689c189d08f601a6e759e6c3be54

[ "MIT" ]

null

cogs/__init__.py

gio101046/pyvis

db2a8525e687689c189d08f601a6e759e6c3be54

[ "MIT" ]

null

cogs/__init__.py

gio101046/pyvis

db2a8525e687689c189d08f601a6e759e6c3be54

[ "MIT" ]

null

from cogs.finance import Finance from cogs.fun import Fun from cogs.programming import Programming

32.666667

40

0.857143

15

98

5.6

0.4

0.285714

0

0.112245

98

3

40

32.666667

0.965517

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

afe8e488807e1a95ce4277ee56afffc8240706ad

127

py

Python

quadpy/enr2/tools.py

gdmcbain/quadpy

c083d500027d7c1b2187ae06ff2b7fbdd360ccc7

[ "MIT" ]

1

2019-01-02T19:04:42.000Z

quadpy/enr2/tools.py

gdmcbain/quadpy

c083d500027d7c1b2187ae06ff2b7fbdd360ccc7

[ "MIT" ]

null

quadpy/enr2/tools.py

gdmcbain/quadpy

c083d500027d7c1b2187ae06ff2b7fbdd360ccc7

[ "MIT" ]

null

# -*- coding: utf-8 -*- # import numpy def integrate(f, rule, dot=numpy.dot): return dot(f(rule.points.T), rule.weights)

15.875

46

0.637795

20

127

4.05

0.7

0.123457

0

0.009434

0.165354

127

7

47

18.142857

0.754717

0.165354

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

b310f84b8a46ae7012911b45c9a3290489853c1d

55

py

Python

ProteinFeatureAnalyzer/__init__.py

Kortemme-Lab/protein_feature_analysis

fa2ae8bc6eb7ecf17e8bf802ab30814461868114

[ "MIT" ]

6

2018-08-26T21:38:23.000Z

2021-08-13T02:43:38.000Z

ProteinFeatureAnalyzer/__init__.py

Kortemme-Lab/protein_feature_analysis

fa2ae8bc6eb7ecf17e8bf802ab30814461868114

[ "MIT" ]

null

ProteinFeatureAnalyzer/__init__.py

Kortemme-Lab/protein_feature_analysis

fa2ae8bc6eb7ecf17e8bf802ab30814461868114

[ "MIT" ]

1

2018-01-06T05:46:55.000Z

from . import job_distributors from . import features

13.75

30

0.8

7

55

6.142857

0.714286

0.465116

0

0.163636

55

3

31

18.333333

0.934783

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

b32e75e32c5538011f10b24468fbf72688da8173

106

py

Python

goprocam/exceptions.py

KonradIT/gopropy

57385c84e86b8c47bec504eae9f90756b5187286

[ "MIT" ]

null

goprocam/exceptions.py

KonradIT/gopropy

57385c84e86b8c47bec504eae9f90756b5187286

[ "MIT" ]

null

goprocam/exceptions.py

KonradIT/gopropy

57385c84e86b8c47bec504eae9f90756b5187286

[ "MIT" ]

null

class CameraNotConnected(Exception): pass class WiredControlAlreadyEstablished(Exception): pass

15.142857

48

0.792453

8

106

10.5

0.625

0.309524

0

0.150943

106

6

49

17.666667

0.933333

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

1

null

1

0

1

0

null

0

1

0

6

b3379bd83710258fa07d478b65882a28ceb8e9e7

58

py

Python

podpac/core/managers/test/test_aws.py

creare-com/podpac

7feb5c957513c146ce73ba1c36c630284f513a6e

[ "Apache-2.0" ]

46

2018-04-06T19:54:32.000Z

2022-02-08T02:00:02.000Z

podpac/core/managers/test/test_aws.py

creare-com/podpac

7feb5c957513c146ce73ba1c36c630284f513a6e

[ "Apache-2.0" ]

474

2018-04-05T22:21:09.000Z

2022-02-24T14:21:16.000Z

podpac/core/managers/test/test_aws.py

creare-com/podpac

7feb5c957513c146ce73ba1c36c630284f513a6e

[ "Apache-2.0" ]

4

2019-04-11T17:49:53.000Z

2020-11-29T22:36:53.000Z

import pytest import os class TestAWS(object): pass

8.285714

22

0.724138

8

58

5.25

0.875

0

0.224138

58

6

23

9.666667

0.933333

0

1

0

true

0.25

0.5

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

6

2fe8af559be65e24a9c277f2611aa5d3c071240c

1,040

py

Python

code-challanges/401/multi_bracket_validation/test_multi_bracket_validation.py

schoentr/data-structures-and-algorithms

535ac617a2ab32293014946b043bdb40a647d43b

[ "MIT" ]

null

code-challanges/401/multi_bracket_validation/test_multi_bracket_validation.py

schoentr/data-structures-and-algorithms

535ac617a2ab32293014946b043bdb40a647d43b

[ "MIT" ]

1

2019-03-11T02:13:58.000Z

code-challanges/401_code_challenges/multi_bracket_validation/test_multi_bracket_validation.py

schoentr/data-structures-and-algorithms

535ac617a2ab32293014946b043bdb40a647d43b

[ "MIT" ]

null

from stacks_and_queues.stacks_and_queues import Queue from multi_bracket_validation.multi_bracket_validation import bracket_validation def test_one(): assert bracket_validation('th{his(hlie}v[') == False def test_two(): assert bracket_validation('{}') == True def test_three(): assert bracket_validation('()') == True def test_four(): assert bracket_validation('(') == False def test_five(): assert bracket_validation(')') == False def test_six(): assert bracket_validation('[]') == True def test_seve(): assert bracket_validation('[') == False def test_eight(): assert bracket_validation(']') == False def test_nine(): assert bracket_validation('([dog]{cat})') == True def test_ten(): assert bracket_validation('This(should} not ) pass') == False def test_eleven(): assert bracket_validation('[this(sdf{sdf(sdfsdf)})]') == True def test_twelve(): assert bracket_validation('{sdfsdf ()sdfsdf') == False def test_thirteen(): assert bracket_validation('') == True

18.909091

80

0.691346

126

1,040

5.428571

0.309524

0.397661

0.437135

0.157895

0.353801

0

0.161538

1,040

54

81

19.259259

0.784404

0

0.095192

0.023077

0

0.464286

1

0.464286

true

0.035714

0.071429

0

0.535714

0

null

1

0

null

0

1

0

1

0

1

0

6