xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

bc2dcdd77208fd3bc7153fc05f77fe846212c2fd

200

py

Python

src/wai/common/file/__init__.py

waikato-datamining/wai-common

bf3d7ae6e01bcb7ffe9f5c2b5d10a05908a68c34

[ "MIT" ]

null

src/wai/common/file/__init__.py

waikato-datamining/wai-common

bf3d7ae6e01bcb7ffe9f5c2b5d10a05908a68c34

[ "MIT" ]

8

2020-07-01T02:11:31.000Z

2020-12-17T01:57:17.000Z

src/wai/common/file/__init__.py

waikato-datamining/wai-common

bf3d7ae6e01bcb7ffe9f5c2b5d10a05908a68c34

[ "MIT" ]

null

from ._NamedColumnSelection import NamedColumnSelection, SELECTION_TYPE from ._functions import load_dir from ._PathContextManager import PathContextManager, offset_cwd from ._util import ensure_path

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0

5

bc3d8a9588570e4f9585cb45afa47cd589e20ffd

114

py

Python

introduction.py

manojb7/general

d3e94bb41cd9d7e00e00661e67503902704d5c0b

[ "MIT" ]

null

introduction.py

manojb7/general

d3e94bb41cd9d7e00e00661e67503902704d5c0b

[ "MIT" ]

null

introduction.py

manojb7/general

d3e94bb41cd9d7e00e00661e67503902704d5c0b

[ "MIT" ]

null

#!/usr/bin/env python3 import pandas import calculate print("Hello world") print(calculate.x) print("Hi Again")

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5

70b43f3039b451e6234256a435108b33dbab2629

2,013

py

Python

tests/controllers/subscription_controller_test.py

terrazoon/stoic-service

0ce5af867aac4d35bdb924a5c8d50fc283fae3d0

[ "MIT" ]

1

2020-04-16T01:02:25.000Z

tests/controllers/subscription_controller_test.py

terrazoon/stoic-service

0ce5af867aac4d35bdb924a5c8d50fc283fae3d0

[ "MIT" ]

null

tests/controllers/subscription_controller_test.py

terrazoon/stoic-service

0ce5af867aac4d35bdb924a5c8d50fc283fae3d0

[ "MIT" ]

null

import unittest import boto3 import mock import pytest from moto import mock_dynamodb, mock_dynamodb2 from src.controllers.subscription_controller import unsubscribe, subscribe class SubscriptionControllerTest(unittest.TestCase): @mock_dynamodb2 def test_unsubscribe(self): table_name = 'emailAddresses' dynamodb = boto3.resource('dynamodb', 'us-east-1') table = dynamodb.create_table( TableName=table_name, KeySchema=[ { 'AttributeName': 'email', 'KeyType': 'HASH' }, ], AttributeDefinitions=[ { 'AttributeName': 'email', 'AttributeType': 'S' }, ], ProvisionedThroughput={ 'ReadCapacityUnits': 1, 'WriteCapacityUnits': 1 } ) event = {"pathParameters": {"email": "abc@x.y"}} response = unsubscribe(event, None) assert response['statusCode'] == 200 assert response['body'] == '"abc@x.y"' @mock_dynamodb2 def test_subscribe(self): table_name = 'emailAddresses' dynamodb = boto3.resource('dynamodb', 'us-east-1') table = dynamodb.create_table( TableName=table_name, KeySchema=[ { 'AttributeName': 'email', 'KeyType': 'HASH' }, ], AttributeDefinitions=[ { 'AttributeName': 'email', 'AttributeType': 'S' }, ], ProvisionedThroughput={ 'ReadCapacityUnits': 1, 'WriteCapacityUnits': 1 } ) event = {"pathParameters": {"email": "abc@x.y"}} response = subscribe(event, None) assert response['statusCode'] == 200 assert response['body'] == '"abc@x.y"'

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5

70e168e7c5cf7f80477df836c59e97185a9b229c

186

py

Python

more_or_less/screen_dimensions.py

jeroen-dhollander/python-paginator

8c60ae6dd64a7440feda4561440117d9bebc3ae7

[ "CC0-1.0" ]

3

2018-09-26T20:07:51.000Z

2021-07-10T11:59:44.000Z

more_or_less/screen_dimensions.py

jeroen-dhollander/python-paginator

8c60ae6dd64a7440feda4561440117d9bebc3ae7

[ "CC0-1.0" ]

1

2020-02-19T10:15:38.000Z

2020-03-14T21:48:55.000Z

more_or_less/screen_dimensions.py

jeroen-dhollander/python-more-or-less

8c60ae6dd64a7440feda4561440117d9bebc3ae7

[ "CC0-1.0" ]

null

from abc import ABC, abstractmethod class ScreenDimensions(ABC): @abstractmethod def get_height(self): pass @abstractmethod def get_width(self): pass

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null

0

1

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1

0

5

70f12ae7d023831303366dc4f345905b18d4d0ac

5,801

py

Python

temporary_siren.py

AkramjitS/Video-Encoder-Decoder-Hypernetwork

bdff1f77d988b95cef2298eba8f4d8c3621bfe78

[ "MIT" ]

null

temporary_siren.py

AkramjitS/Video-Encoder-Decoder-Hypernetwork

bdff1f77d988b95cef2298eba8f4d8c3621bfe78

[ "MIT" ]

null

temporary_siren.py

AkramjitS/Video-Encoder-Decoder-Hypernetwork

bdff1f77d988b95cef2298eba8f4d8c3621bfe78

[ "MIT" ]

null

import torch import torch.nn.functional as F from torch.tensor import Tensor from torch.nn import Module from torch.nn.parameter import Parameter from typing import List, Tuple, Optional from math import tau class SineLayer(Module): weight:Parameter bias:Parameter def __init__(self, in_features:int, out_features:int, half_range_weight:float, half_range_bias:float): super().__init__() self.weight = Parameter(torch.empty((out_features, in_features)).uniform_(-half_range_weight, half_range_weight), True) self.bias = Parameter(torch.empty((out_features)).uniform_(-half_range_bias, half_range_bias), True) def forward(self, input:Tensor)->Tensor: return F.linear(input, self.weight, self.bias).sin() class JumpNetwork(Module): modules:List[Module] fourier:Optional[Tensor] def __init__(self, modules:List[Module], fourier:Optional[Tensor]): super().__init__() self.modules = modules self.fourier = fourier for index, module in enumerate(self.modules): self.add_module('module-{}'.format(index), module) def forward(self, input:Tensor)->Tuple[Tensor, Tensor]: ''' # temp8Siren # 0 -> 1 |-> 3 |-> 2 -> 3 -> 4 # |-> | input = self.modules[0](input) input = self.modules[1](input) skip = input.clone() input = self.modules[3](input) input = input + skip input = self.modules[2](input) input = self.modules[3](input) return self.modules[4](input), None ''' ''' # temp7Siren # 0 -> 1 |-> 3 |-> 4 ? # |-> 2 -> 3 | input = self.modules[0](input) input = self.modules[1](input) jump = input.clone() jump = self.modules[2](jump) jump = self.modules[3](jump) input = self.modules[3](input) input = input + jump return self.modules[4](input), None ''' ''' # temp6Siren # 0 -> 1 -> 3 -> 2 -> 3 -> 4 input = self.modules[0](input) input = self.modules[1](input) input = self.modules[3](input) input = self.modules[2](input) input = self.modules[3](input) return self.modules[4](input), None ''' ''' # temp5Siren # 0 |-> 1 -> |-> 3 -> 4 ? # |-> 2 -> 1 | input = self.modules[0](input) input_jump = input.clone() input_jump = self.modules[2](input_jump) input_jump = self.modules[1](input_jump) input = self.modules[1](input) input = input + input_jump input = self.modules[3](input) return self.modules[4](input), None ''' ''' # temp4Siren # 0 -> 1 |-> 2 -> 1 |-> 3 -> 4 ? # |-> | input = self.modules[0](input) input = self.modules[1](input) skip = input.clone() input = self.modules[2](input) input = self.modules[1](input) input = input + skip input = self.modules[3](input) return self.modules[4](input), None ''' ''' # temp3Siren # 0 -> 1 -> 2 -> 1 -> 3 -> 4 ? input = self.modules[0](input) input = self.modules[1](input) input = self.modules[2](input) input = self.modules[1](input) input = self.modules[3](input) return self.modules[4](input), None ''' ''' # temp2Siren # 0 |-> 1 -> |-> 3 -> 3 -> 4 ? # |-> 2 -> 1 | input = self.modules[0](input) input_jump = input.clone() input_jump = self.modules[2](input_jump) input_jump = self.modules[1](input_jump) input = self.modules[1](input) input = input + input_jump input = self.modules[3](input) input = self.modules[3](input) return self.modules[4](input), None ''' '''# tempSiren input = self.modules[0](input) input = self.modules[1](input) input = self.modules[1](input) input = self.modules[2](input) input = self.modules[2](input) input = self.modules[3](input) input = self.modules[3](input) return self.modules[4](input), None ''' ''' # origSiren input = self.modules[0](input) input = self.modules[1](input) input = self.modules[2](input) input = self.modules[3](input) return self.modules[4](input), None ''' # OrigExpandedSiren return self.modules[0](input), None ''' # fourierOrigSiren if self.fourier is None: raise ValueError("Fourier tensor expected, got None") input = tau * torch.mm(input, self.fourier) input = torch.cat((input.cos(), input.sin()), dim=1) return self.modules[0](input), None ''' ''' # fourierOrigExpandedSiren if self.fourier is None: raise ValueError("Fourier tensor expected, got None") input = tau * torch.mm(input, self.fourier) input = torch.cat((input.cos(), input.sin()), dim=1) return self.modules[0](input), None ''' ''' input = self.modules[0](input) #skip1 = input.clone() input = self.modules[1](input) input = self.modules[2](input) #input = input + skip1 input = self.modules[1](input) input = self.modules[2](input) #skip2 = input.clone() input = self.modules[3](input) input = self.modules[2](input) #input = input + skip2 input = self.modules[3](input) return self.modules[4](input), None '''

31.188172

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5,801

4.543834

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0.255396

0.256377

0.178548

0.726292

0.677567

0.632112

0.614454

0.604317

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0.031377

0.318738

5,801

185

128

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0

null

1

0

1

0

null

0

1

0

5

70f77c03590fe6af317fc6534b3c08c9dfeda185

201

py

Python

Python/Book Assignments/ad1.py

AungWinnHtut/CStutorial

4b57721b814e9c2d288af64a979704dd70f14ddb

[ "MIT" ]

null

Python/Book Assignments/ad1.py

AungWinnHtut/CStutorial

4b57721b814e9c2d288af64a979704dd70f14ddb

[ "MIT" ]

null

Python/Book Assignments/ad1.py

AungWinnHtut/CStutorial

4b57721b814e9c2d288af64a979704dd70f14ddb

[ "MIT" ]

1

2022-03-15T12:20:26.000Z

print("You will meet two people - one is the sweet shop owner who wants to steal the password so he can keep the sweets.") print() playername=input("What is your name? ") print("Welcome "+ playername)

40.2

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5

cb1bf41def4346284e875d9c023b49af8af07764

90

py

Python

lib/utils/__init__.py

n2westman/CS410_Project

f8cfd5ab4d07354f3bb5f712e848853fbc9d7f83

[ "MIT" ]

null

lib/utils/__init__.py

n2westman/CS410_Project

f8cfd5ab4d07354f3bb5f712e848853fbc9d7f83

[ "MIT" ]

null

lib/utils/__init__.py

n2westman/CS410_Project

f8cfd5ab4d07354f3bb5f712e848853fbc9d7f83

[ "MIT" ]

null

from .utils import * from .metric import * from .functions import * from .seqeval import *

22.5

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90

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0.5

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0.166667

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true

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1

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5

cb809e69b5e21766e52bf899686150edfc3f1649

63

py

Python

regex/re-introduction/matching-digits-non-digit-character.py

feliposz/hackerrank-solutions

fb1d63ca12a0d289362c9b3fb4cb0b79ef73f72f

[ "MIT" ]

null

regex/re-introduction/matching-digits-non-digit-character.py

feliposz/hackerrank-solutions

fb1d63ca12a0d289362c9b3fb4cb0b79ef73f72f

[ "MIT" ]

null

regex/re-introduction/matching-digits-non-digit-character.py

feliposz/hackerrank-solutions

fb1d63ca12a0d289362c9b3fb4cb0b79ef73f72f

[ "MIT" ]

null

Regex_Pattern = r"\d\d\D\d\d\D\d\d\d\d" # Do not delete 'r'.

15.75

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cb889fa02c29739973dad2cb77fea65e227de083

24,363

py

Python

src/sardana/util/test/test_parser.py

marc2332/sardana

48dc9191baaa63f6c714d8c025e8f3f96548ad26

[ "CC-BY-3.0" ]

43

2016-11-25T15:21:23.000Z

2021-08-20T06:09:40.000Z

src/sardana/util/test/test_parser.py

marc2332/sardana

48dc9191baaa63f6c714d8c025e8f3f96548ad26

[ "CC-BY-3.0" ]

1,263

2016-11-25T15:58:37.000Z

2021-11-02T22:23:47.000Z

src/sardana/util/test/test_parser.py

marc2332/sardana

48dc9191baaa63f6c714d8c025e8f3f96548ad26

[ "CC-BY-3.0" ]

58

2016-11-21T11:33:55.000Z

2021-09-01T06:21:21.000Z

#!/usr/bin/env python ############################################################################## ## # This file is part of Sardana ## # http://www.sardana-controls.org/ ## # Copyright 2011 CELLS / ALBA Synchrotron, Bellaterra, Spain ## # Sardana is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. ## # Sardana 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 # GNU Lesser General Public License for more details. ## # You should have received a copy of the GNU Lesser General Public License # along with Sardana. If not, see <http://www.gnu.org/licenses/>. ## ############################################################################## """Tests for parser utilities.""" import unittest from taurus.test import insertTest from sardana.util.parser import ParamParser pt0_params_def = [] pt1d_params_def = [ { "default_value": 99, "description": "some bloody float", "max": None, "min": 1, "name": "value", "type": "Float" } ] pt2_params_def = [ { "default_value": None, "description": "some bloody motor", "max": None, "min": 1, "name": "motor", "type": "Motor" } ] pt3_params_def = [ { "default_value": None, "description": "List of values", "max": None, "min": 1, "name": "numb_list", "type": [ { "default_value": None, "description": "value", "max": None, "min": 1, "name": "position", "type": "Float" } ] } ] pt3d_params_def = [ { "default_value": None, "description": "List of values", "max": None, "min": 1, "name": "numb_list", "type": [ { "default_value": 21, "description": "value", "max": None, "min": 1, "name": "position", "type": "Float" } ] } ] pt4_params_def = [ { "default_value": None, "description": "List of motors", "max": None, "min": 1, "name": "motor_list", "type": [ { "default_value": None, "description": "motor name", "max": None, "min": 1, "name": "motor", "type": "Motor" } ] } ] pt5_params_def = [ { "default_value": None, "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" }, { "default_value": None, "description": "List of values", "max": None, "min": 1, "name": "numb_list", "type": [ { "default_value": None, "description": "value", "max": None, "min": 1, "name": "pos", "type": "Float" } ] } ] pt6_params_def = [ { "default_value": None, "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" }, { "default_value": None, "description": "List of values", "max": None, "min": 1, "name": "numb_list", "type": [ { "default_value": None, "description": "value", "max": None, "min": 1, "name": "pos", "type": "Float" } ] } ] pt7_params_def = [ { "default_value": None, "description": "List of motor/position pairs", "max": None, "min": 1, "name": "m_p_pair", "type": [ { "default_value": None, "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" }, { "default_value": None, "description": "Position to move to", "max": None, "min": 1, "name": "position", "type": "Float" } ] } ] pt7d1_params_def = [ { "default_value": None, "description": "List of motor/position pairs", "max": None, "min": 1, "name": "m_p_pair", "type": [ { "default_value": None, "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" }, { "default_value": 2, "description": "Position to move to", "max": None, "min": 1, "name": "pos", "type": "Float" } ] } ] pt7d2_params_def = [ { "default_value": None, "description": "List of motor/position pairs", "max": None, "min": 1, "name": "m_p_pair", "type": [ { "default_value": 'mot1', "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" }, { "default_value": 2, "description": "Position to move to", "max": None, "min": 1, "name": "pos", "type": "Float" } ] } ] pt8_params_def = [ { "default_value": None, "description": "List of motor/position pairs", "max": None, "min": 1, "name": "m_p_pair", "type": [ { "default_value": None, "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" }, { "default_value": None, "description": "Position to move to", "max": 2, "min": 1, "name": "pos", "type": "Float" } ] } ] pt9_params_def = [ { "default_value": None, "description": "List of motor/position pairs", "max": None, "min": 1, "name": "m_p_pair", "type": [ { "default_value": None, "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" }, { "default_value": None, "description": "Position to move to", "max": 2, "min": 1, "name": "pos", "type": "Float" } ] } ] pt10_params_def = [ { "default_value": None, "description": "List of values", "max": None, "min": 1, "name": "numb_list", "type": [ { "default_value": None, "description": "value", "max": None, "min": 1, "name": "pos", "type": "Float" } ] }, { "default_value": None, "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" }, ] pt11_params_def = [ { "default_value": None, "description": "Counter to count", "max": None, "min": 1, "name": "counter", "type": "ExpChannel" }, { "default_value": None, "description": "List of values", "max": None, "min": 1, "name": "numb_list", "type": [ { "default_value": None, "description": "value", "max": None, "min": 1, "name": "pos", "type": "Float" }, ] }, { "default_value": None, "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" }, ] pt12_params_def = [ { "default_value": None, "description": "List of values", "max": None, "min": 1, "name": "numb_list", "type": [ { "default_value": None, "description": "value", "max": None, "min": 1, "name": "pos", "type": "Float" }, ] }, { "default_value": None, "description": "List of Motors", "max": None, "min": 1, "name": "motor_list", "type": [ { "default_value": 'mot1', "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" }, ] }, ] pt13_params_def = [ { "default_value": None, "description": "Motor groups", "max": None, "min": 1, "name": "motor_group_list", "type": [ { "default_value": None, "description": "List of motors", "max": None, "min": 1, "name": "motor list", "type": [ { "default_value": None, "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" } ] } ] } ] pt14_params_def = [ { "default_value": None, "description": "Motor groups", "max": None, "min": 1, "name": "motor_group_list", "type": [ { "default_value": None, "description": "List of motors", "max": None, "min": 1, "name": "motor_list", "type": [ { "default_value": None, "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" } ] }, { "default_value": None, "description": "Number", "max": None, "min": 1, "name": "float", "type": "Float" } ] } ] pt14d_params_def = [ { "default_value": None, "description": "Motor groups", "max": None, "min": 1, "name": "motor_group_list", "type": [ { "default_value": None, "description": "List of motors", "max": None, "min": 1, "name": "motor_list", "type": [ { "default_value": "mot1", "description": "Motor to move", "max": None, "min": 1, "name": "motor", "type": "Motor" } ] }, { "default_value": 33, "description": "Number", "max": None, "min": 1, "name": "float", "type": "Float" } ] } ] extra1_params_def = [ { "default_value": None, "description": "Parameter", "max": None, "min": 1, "name": "param", "type": "String" }, { "default_value": None, "description": "List of Scan files", "max": None, "min": 1, "name": "ScanFiles List", "type": [ { "default_value": None, "description": "ScanFile", "max": None, "min": 1, "name": "ScanFile", "type": "String", } ] } ] extra2_params_def = [ { "default_value": None, "description": "Value 1", "max": None, "min": 1, "name": "value1", "type": "Float" }, { "default_value": None, "description": "Value 2", "max": None, "min": 1, "name": "value2", "type": "float" }, { "default_value": None, "description": "List of Strings", "max": None, "min": 1, "name": "string_list", "type": [ { "default_value": None, "description": "string", "max": None, "min": 1, "name": "string", "type": "String" }, ] }, ] extra3_params_def = [ { "default_value": None, "description": "param", "max": None, "min": 1, "name": "param", "type": "String" }, { "default_value": None, "description": "Value", "max": None, "min": 1, "name": "value", "type": "String" }, ] extra4_params_def = [ { "default_value": None, "description": "value 1", "max": None, "min": 1, "name": "value1", "type": "Float" }, { "default_value": None, "description": "Value 2", "max": None, "min": 1, "name": "value2", "type": "Float" }, ] extra5_params_def = [ { "default_value": None, "description": "List of Motor and Values", "max": None, "min": 1, "name": "numb_list", "type": [ { "default_value": None, "description": "Motor", "max": None, "min": 1, "name": "pos", "type": "Motor" }, { "default_value": None, "description": "Position to move to", "max": 2, "min": 1, "name": "pos", "type": "Float" } ] }, { "default_value": None, "description": "Counter to use", "max": None, "min": 1, "name": "counter", "type": "ExpChan" }, { "default_value": None, "description": "Value", "max": None, "min": 1, "name": "Value", "type": "Float" } ] extra6_params_def = [ { "default_value": None, "description": "List of Values", "max": None, "min": 1, "name": "numb_list", "type": [ { "default_value": None, "description": "Value 1", "max": None, "min": 1, "name": "value1", "type": "Float" }, { "default_value": None, "description": "Value 2", "max": None, "min": 1, "name": "value2", "type": "Float" } ] } ] extra7_params_def = [ { "default_value": None, "description": "value 1", "max": None, "min": 1, "name": "value1", "type": "Float" }, { "default_value": None, "description": "List of Values", "max": None, "min": 1, "name": "numb_list", "type": [ { "default_value": None, "description": "Value 2.1", "max": None, "min": 1, "name": "value21", "type": "Float" }, { "default_value": None, "description": "Value 2.2", "max": None, "min": 1, "name": "value22", "type": "Float" } ] } ] extra8_params_def = [ { "default_value": None, "description": "value 1", "max": None, "min": 1, "name": "value1", "type": "Float" }, { "default_value": None, "description": "Value 2", "max": None, "min": 1, "name": "value2", "type": "Float" }, ] # parameters examples tests @insertTest(helper_name="parse", params_def=pt0_params_def, params_str="", params=[]) @insertTest(helper_name="parse", params_def=pt1d_params_def, params_str="1", params=["1"]) @insertTest(helper_name="parse", params_def=pt1d_params_def, params_str="", params=[]) @insertTest(helper_name="parse", params_def=pt2_params_def, params_str="mot1", params=["mot1"]) @insertTest(helper_name="parse", params_def=pt3_params_def, params_str="1 34 15", params=[["1", "34", "15"]]) @insertTest(helper_name="parse", params_def=pt3_params_def, params_str="[1 34 15]", params=[["1", "34", "15"]]) @insertTest(helper_name="parse", params_def=pt3d_params_def, params_str="1 34 15", params=[["1", "34", "15"]]) @insertTest(helper_name="parse", params_def=pt3d_params_def, params_str="[1 34 15]", params=[["1", "34", "15"]]) @insertTest(helper_name="parse", params_def=pt3d_params_def, params_str="[1 [] 15]", params=[["1", [], "15"]]) @insertTest(helper_name="parse", params_def=pt4_params_def, params_str="[mot1 mot2 mot3]", params=[["mot1", "mot2", "mot3"]]) @insertTest(helper_name="parse", params_def=pt4_params_def, params_str="mot1 mot2 mot3", params=[["mot1", "mot2", "mot3"]]) @insertTest(helper_name="parse", params_def=pt5_params_def, params_str="mot1 1 3", params=["mot1", ["1", "3"]]) @insertTest(helper_name="parse", params_def=pt5_params_def, params_str="mot1 [1 3]", params=["mot1", ["1", "3"]]) @insertTest(helper_name="parse", params_def=pt6_params_def, params_str="mot1 [1 34 1]", params=["mot1", ["1", "34", "1"]]) @insertTest(helper_name="parse", params_def=pt6_params_def, params_str="mot1 1 34 1", params=["mot1", ["1", "34", "1"]]) @insertTest(helper_name="parse", params_def=pt7_params_def, params_str="mot1 1 mot2 3", params=[[["mot1", "1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt7_params_def, params_str="[[mot1 1] [mot2 3]]", params=[[["mot1", "1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt7d1_params_def, params_str="[[mot1 1] [mot2 3]]", params=[[["mot1", "1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt7d1_params_def, params_str="mot1 1 mot2 3", params=[[["mot1", "1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt7d1_params_def, params_str="[[mot1] [mot2 3]]", params=[[["mot1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt7d2_params_def, params_str="[[mot1 1] [mot2 3]]", params=[[["mot1", "1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt7d2_params_def, params_str="mot1 1 mot2 3", params=[[["mot1", "1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt7d2_params_def, params_str="[[] [mot2 3] []]", params=[[[], ["mot2", "3"], []]]) @insertTest(helper_name="parse", params_def=pt8_params_def, params_str="[[mot1 1] [mot2 3]]", params=[[["mot1", "1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt8_params_def, params_str="mot1 1 mot2 3", params=[[["mot1", "1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt9_params_def, params_str="[[mot1 1] [mot2 3]]", params=[[["mot1", "1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt9_params_def, params_str="mot1 1 mot2 3", params=[[["mot1", "1"], ["mot2", "3"]]]) @insertTest(helper_name="parse", params_def=pt10_params_def, params_str="[1 3] mot1", params=[["1", "3"], "mot1"]) @insertTest(helper_name="parse", params_def=pt10_params_def, params_str="1 mot1", params=[["1"], "mot1"]) @insertTest(helper_name="parse", params_def=pt11_params_def, params_str="ct1 [1 3] mot1", params=["ct1", ["1", "3"], "mot1"]) @insertTest(helper_name="parse", params_def=pt12_params_def, params_str="[1 3 4] [mot1 mot2]", params=[["1", "3", "4"], ["mot1", "mot2"]]) @insertTest(helper_name="parse", params_def=pt13_params_def, params_str="[[mot1 mot2] [mot3 mot4]]", params=[[["mot1", "mot2"], ["mot3", "mot4"]]]) @insertTest(helper_name="parse", params_def=pt14_params_def, params_str="[[[mot1 mot2] 3] [[mot3] 5]]", params=[[[["mot1", "mot2"], "3"], [["mot3"], "5"]]]) @insertTest(helper_name="parse", params_def=pt14d_params_def, params_str="[[[mot1 mot2] 3] [[mot3] []]]", params=[[[["mot1", "mot2"], "3"], [["mot3"], []]]]) @insertTest(helper_name="parse", params_def=pt14d_params_def, params_str="[[[mot1 []] 3] [[mot3] []]]", params=[[[["mot1", []], "3"], [["mot3"], []]]]) @insertTest(helper_name="parse", params_def=pt14d_params_def, params_str="[[[[]] 3] [[mot3] []]]", params=[[[[[]], "3"], [["mot3"], []]]]) # extra tests for complex parameter values @insertTest(helper_name="parse", params_def=extra1_params_def, params_str="ScanFile ['file.nxs' 'file.dat']", params=["ScanFile", ["file.nxs", "file.dat"]]) @insertTest(helper_name="parse", params_def=extra2_params_def, params_str="2 3 ['Hello world!' 'How are you?']", params=["2", "3", ["Hello world!", "How are you?"]]) @insertTest(helper_name="parse", params_def=extra3_params_def, params_str="ScanFile file.dat", params=["ScanFile", "file.dat"]) @insertTest(helper_name="parse", params_def=extra4_params_def, params_str="'2 3'", params=["2 3"]) @insertTest(helper_name="parse", params_def=extra5_params_def, params_str="[[mot01 3][mot02 5]] ct01 999", params=[[["mot01", "3"], ["mot02", "5"]], "ct01", "999"]) @insertTest(helper_name="parse", params_def=extra6_params_def, params_str="[[2 3][4 5]]", params=[[["2", "3"], ["4", "5"]]]) @insertTest(helper_name="parse", params_def=extra7_params_def, params_str="1 [2 3]", params=["1", ["2", "3"]]) @insertTest(helper_name="parse", params_def=extra8_params_def, params_str="2 3", params=["2", "3"]) class ParamParserTestCase(unittest.TestCase): """Unit tests for ParamParser class. Mainly based on macro examples for parameters definition. """ def parse(self, params_def, params_str, params): """Helper method to test parameters parsing. To be used with insertTest decorator. """ p = ParamParser(params_def) result = p.parse(params_str) msg = "Parsing failed (result: %r; expected: %r)" % \ (result, params) self.assertListEqual(result, params, msg)

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null

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1

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1

0

null

0

5

cb949fd978b8e52ee0d6c74254b2870a453e7ef5

7,970

py

Python

Database.py

Warthog710/Rankie

42378f5e3ab6165298c7bb86e1bbb040bdc36611

[ "MIT" ]

null

Database.py

Warthog710/Rankie

42378f5e3ab6165298c7bb86e1bbb040bdc36611

[ "MIT" ]

10

2021-07-01T08:14:55.000Z

2021-08-09T21:55:24.000Z

Database.py

Warthog710/Rankie

42378f5e3ab6165298c7bb86e1bbb040bdc36611

[ "MIT" ]

null

import os import psycopg2 class rankie_db: def __init__(self): self.__db = psycopg2.connect(os.environ.get('DATABASE_URL'), sslmode='require') def get_prefix(self, guild_id): query = 'SELECT prefix FROM prefixes WHERE guild_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id,)) # Get result(s) result = db_handle.fetchone() # Close connection db_handle.close() # Return result return result def get_roles(self, guild_id): query = 'SELECT rank_id, range FROM roles WHERE guild_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id,)) # Get result(s) result = db_handle.fetchall() # Close connection db_handle.close() # Return result return result def get_season(self, guild_id): query = 'SELECT season FROM season WHERE guild_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id,)) # Get result(s) result = db_handle.fetchone() # Close connection db_handle.close() # Return result return result def get_managed_channels_for_guild(self, guild_id): query = 'SELECT channel_id, frequency FROM managed_guilds WHERE guild_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id,)) # Get result(s) result = db_handle.fetchall() # Close connection db_handle.close() # Return result return result def get_all_managed_channels(self): query = 'SELECT channel_id, frequency FROM managed_guilds;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query) # Get results result = db_handle.fetchall() # Close connection db_handle.close() # Return result return result def get_saved_messages_for_channel(self, channel_id): query = 'SELECT message_id FROM managed_channels WHERE channel_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (channel_id,)) # Get result(s) result = db_handle.fetchall() # Close connection db_handle.close() # Return result return result def set_prefix(self, guild_id, prefix): # If none no prefix has been set if self.get_prefix(guild_id) == None: query = 'INSERT INTO prefixes (guild_id, prefix) VALUES (%s, %s);' args = (guild_id, prefix,) # An existing prefix is present, update the existing value else: query = 'UPDATE prefixes SET prefix=%s WHERE guild_id=%s;' args = (prefix, guild_id,) # Perform query db_handle = self.__db.cursor() db_handle.execute(query, args) # Commit results self.__db.commit() # Close connection db_handle.close() #? Dumb function, does not detect for dupes, this is done by Rankie before setting a role def set_roles(self, guild_id, rank_id, rank_range): query = 'INSERT INTO roles (guild_id, rank_id, range) VALUES (%s, %s, %s);' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id, rank_id, rank_range,)) # Commit results self.__db.commit() # Close connection db_handle.close() def set_season(self, guild_id, season): # If none no season has been set if self.get_season(guild_id) == None: query = 'INSERT INTO season (guild_id, season) VALUES (%s, %s);' args = (guild_id, season,) # An existing season is present, update the existing value else: query = 'UPDATE season SET season=%s WHERE guild_id=%s;' args = (season, guild_id,) # Perform query db_handle = self.__db.cursor() db_handle.execute(query, args) # Commit results self.__db.commit() # Close connection db_handle.close() #? Dumb function, does not detect for dupes, this is done by Rankie before setting a role def set_managed_channel_for_guild(self, guild_id, channel_id, frequency): query = 'INSERT INTO managed_guilds (guild_id, channel_id, frequency) VALUES (%s, %s, %s);' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id, channel_id, frequency,)) # Commit results self.__db.commit() # Close connection db_handle.close() def set_saved_message_for_guild(self, channel_id, message_id): query = 'INSERT INTO managed_channels (channel_id, message_id) VALUES (%s, %s);' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (channel_id, message_id,)) # Commit results self.__db.commit() # Close connection db_handle.close() def del_role(self, guild_id, rank_id): query = 'DELETE FROM roles WHERE guild_id=%s AND rank_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id, rank_id,)) # Commit results self.__db.commit() # Close connection db_handle.close() def del_managed_channel_from_guild(self, guild_id, channel_id): query = 'DELETE FROM managed_guilds WHERE guild_id=%s AND channel_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id, channel_id,)) # Commit results self.__db.commit() # Close connection db_handle.close() def del_all_saved_messages_from_channel(self, channel_id): query = 'DELETE FROM managed_channels WHERE channel_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (channel_id,)) # Commit results self.__db.commit() # Close connection db_handle.close() def del_all_managed_channels_from_guild(self, guild_id): query = 'DELETE FROM managed_guilds WHERE guild_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id,)) # Commit results self.__db.commit() # Close connection db_handle.close() def del_saved_message_from_channel(self, channel_id, message_id): query = 'DELETE FROM managed_channels WHERE channel_id=%s AND message_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (channel_id, message_id,)) # Commit results self.__db.commit() # Close connection db_handle.close() def del_prefix(self, guild_id): query = 'DELETE FROM prefixes WHERE guild_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id,)) # Commit results self.__db.commit() # Close connection db_handle.close() def del_all_roles_for_guild(self, guild_id): query = 'DELETE FROM roles WHERE guild_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id,)) # Commit results self.__db.commit() # Close connection db_handle.close() def del_season(self, guild_id): query = 'DELETE FROM season WHERE guild_id=%s;' # Perform query db_handle = self.__db.cursor() db_handle.execute(query, (guild_id,)) # Commit results self.__db.commit() # Close connection db_handle.close() def close_db(self): self.__db.close()

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0.297992

7,970

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0

null

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1

0

1

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null

0

5

cba27c576ee7271a2b431a17a408670580c694fd

804

py

Python

keras/applications/resnet_v2.py

PJmouraocs/keras

7a39b6c62d43c25472b2c2476bd2a8983ae4f682

[ "MIT" ]

259

2016-02-09T09:06:29.000Z

2021-07-29T05:27:40.000Z

keras/applications/resnet_v2.py

PJmouraocs/keras

7a39b6c62d43c25472b2c2476bd2a8983ae4f682

[ "MIT" ]

50

2016-02-24T14:46:57.000Z

2020-01-20T07:34:19.000Z

keras/applications/resnet_v2.py

PJmouraocs/keras

7a39b6c62d43c25472b2c2476bd2a8983ae4f682

[ "MIT" ]

94

2016-02-17T20:59:27.000Z

2021-04-19T08:18:16.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function try: from keras_applications import resnet_v2 except: resnet_v2 = None from . import keras_modules_injection @keras_modules_injection def ResNet50V2(*args, **kwargs): return resnet_v2.ResNet50V2(*args, **kwargs) @keras_modules_injection def ResNet101V2(*args, **kwargs): return resnet_v2.ResNet101V2(*args, **kwargs) @keras_modules_injection def ResNet152V2(*args, **kwargs): return resnet_v2.ResNet152V2(*args, **kwargs) @keras_modules_injection def decode_predictions(*args, **kwargs): return resnet_v2.decode_predictions(*args, **kwargs) @keras_modules_injection def preprocess_input(*args, **kwargs): return resnet_v2.preprocess_input(*args, **kwargs)

22.971429

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0.214286

0.204082

0.435374

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0.123134

804

34

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0.217391

0.652174

0.043478

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null

0

1

0

null

0

1

0

1

0

5

cbccb58ddb85cede1bf2dd6044f33499a1f43b97

81

py

Python

metatag/__init__.py

industrydive/django-site-metatags

549a84a5ddbfefcc09d59b864fd7f3f4bf871026

[ "Unlicense" ]

null

metatag/__init__.py

industrydive/django-site-metatags

549a84a5ddbfefcc09d59b864fd7f3f4bf871026

[ "Unlicense" ]

1

2019-10-23T14:48:53.000Z

metatag/__init__.py

industrydive/django-site-metatags

549a84a5ddbfefcc09d59b864fd7f3f4bf871026

[ "Unlicense" ]

null

from __future__ import absolute_import from metatag.special_class import Metatag

27

41

0.888889

11

81

6

0.636364

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0.098765

81

2

42

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null

0

1

0

1

0

1

0

5

1de15970423f67ea7c0f664c992cee92d3e4387d

114

py

Python

simplpy/__init__.py

frankhart2018/simplpy

a9e8781f9cc8ba9578d6ec786d58e349cba9c52a

[ "MIT" ]

1

2021-02-15T11:36:47.000Z

simplpy/__init__.py

frankhart2018/simplpy

a9e8781f9cc8ba9578d6ec786d58e349cba9c52a

[ "MIT" ]

null

simplpy/__init__.py

frankhart2018/simplpy

a9e8781f9cc8ba9578d6ec786d58e349cba9c52a

[ "MIT" ]

null

import simplpy.pd_ import simplpy.dict_ import simplpy.list_ import simplpy.sklearn_ __version__ = "0.1-alpha-1"

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382cf89827a3a6549b4c0a56eff9541be37b69cb

75

py

Python

Extra Soundsets/src/setup_win.py

scify/LeapGame

25be4e9b5366994b6ae93dfdd6e78d556bae3a4f

[ "Apache-2.0" ]

null

Extra Soundsets/src/setup_win.py

scify/LeapGame

25be4e9b5366994b6ae93dfdd6e78d556bae3a4f

[ "Apache-2.0" ]

null

Extra Soundsets/src/setup_win.py

scify/LeapGame

25be4e9b5366994b6ae93dfdd6e78d556bae3a4f

[ "Apache-2.0" ]

1

2020-06-30T11:21:31.000Z

from distutils.core import setup import py2exe setup(console=['test.py'])

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32

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75

5.272727

0.818182

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0.106667

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5

383b7f0a13ace07c0511c541e31d8a9737429487

80

py

Python

server/dionysos/errors.py

pettinen/dionysos

43f47c6903ff214270e40aacef5dd21e3f885361

[ "MIT" ]

2

2019-12-11T02:00:44.000Z

2020-07-16T23:10:42.000Z

server/dionysos/errors.py

pettinen/dionysos

43f47c6903ff214270e40aacef5dd21e3f885361

[ "MIT" ]

6

2021-06-10T06:55:00.000Z

2021-06-10T06:58:26.000Z

server/dionysos/errors.py

pettinen/dionysos

43f47c6903ff214270e40aacef5dd21e3f885361

[ "MIT" ]

null

class DatabaseError(Exception): pass class GameError(Exception): pass

11.428571

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80

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0.2

80

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32

13.333333

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null

1

0

1

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null

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1

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5

384617449ad7f595690396fac605dc057d2bc488

122

py

Python

Gustavo Guanabara - Python Learning Exercises/ex012 - F String [Exercise] 5.py

TiagoPL/Python-Learning

20855433a8a050647ee9c5039aac1e50807324f8

[ "MIT" ]

null

Gustavo Guanabara - Python Learning Exercises/ex012 - F String [Exercise] 5.py

TiagoPL/Python-Learning

20855433a8a050647ee9c5039aac1e50807324f8

[ "MIT" ]

null

Gustavo Guanabara - Python Learning Exercises/ex012 - F String [Exercise] 5.py

TiagoPL/Python-Learning

20855433a8a050647ee9c5039aac1e50807324f8

[ "MIT" ]

null

n1 = float(input('What is the price of the product? ')) print(f'The price with 5% off would be: U${(n1 / 100) *95:.2f}')

40.666667

65

0.631148

24

122

3.208333

0.833333

0.207792

0

0.09

0.180328

122

2

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0

1

0

1

0

null

0

1

0

5

6974db30d7d76f9a694f27cd7a0fc99c5bfb5356

58

py

Python

misc/python/mango/ioTest/__init__.py

pymango/pymango

b55f831f0194b214e746b2dfb4d9c6671a1abc38

[ "BSD-2-Clause" ]

3

2020-05-11T03:23:17.000Z

2021-03-16T09:01:48.000Z

misc/python/mango/ioTest/__init__.py

pymango/pymango

b55f831f0194b214e746b2dfb4d9c6671a1abc38

[ "BSD-2-Clause" ]

null

misc/python/mango/ioTest/__init__.py

pymango/pymango

b55f831f0194b214e746b2dfb4d9c6671a1abc38

[ "BSD-2-Clause" ]

2

2017-03-04T11:03:40.000Z

2020-08-01T10:01:36.000Z

from ._compressTest import * from ._ddsioTest import *

19.333333

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0.741379

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58

6.833333

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5

698d79d2b92f9b7468fd2b20cee6e6779a85e8fd

199

py

Python

cyflash/__init__.py

StrainMeasurementDevices/cyflash

7fec1990d89d4e17f74d463874ad32168c4cb1e0

[ "BSD-2-Clause" ]

null

cyflash/__init__.py

StrainMeasurementDevices/cyflash

7fec1990d89d4e17f74d463874ad32168c4cb1e0

[ "BSD-2-Clause" ]

null

cyflash/__init__.py

StrainMeasurementDevices/cyflash

7fec1990d89d4e17f74d463874ad32168c4cb1e0

[ "BSD-2-Clause" ]

null

from .bootload import BootloaderHost from .cyacd import BootloaderData from .protocol import SerialTransport from .protocol import CANbusTransport __version__ = "2.0-alpha" __name__ = 'smd-cyflash'

24.875

37

0.819095

23

199

6.73913

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0.154839

0.232258

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0.011364

0.115578

199

8

38

24.875

0.869318

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0.1

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null

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null

0

1

0

1

0

5

69b4df6565831f61a48cea7d4d30f90faf7298c6

1,009

py

Python

src/templie/exceptions.py

sbsmirnoff/templie

1fe0e4425bc13c8e97d4b25e235395d1424a21cd

[ "MIT" ]

1

2017-06-23T11:25:18.000Z

src/templie/exceptions.py

sbsmirnoff/templie

1fe0e4425bc13c8e97d4b25e235395d1424a21cd

[ "MIT" ]

null

src/templie/exceptions.py

sbsmirnoff/templie

1fe0e4425bc13c8e97d4b25e235395d1424a21cd

[ "MIT" ]

null

""" Templie exceptions """ class TemplieException(Exception): def __init__(self, message): super().__init__('ERROR: {}'.format(message)) class DslSyntaxError(TemplieException): @classmethod def get_error(cls, line): return cls('invalid line: {}'.format(line.strip('\n'))) class MissingSection(TemplieException): @classmethod def get_error(cls, section): return cls('Input file does not contain [{}] section'.format(section)) class MissingParameter(TemplieException): @classmethod def get_error(cls, name, section): return cls('Missing {} in section [{}]'.format(name, section)) class WrongValue(TemplieException): @classmethod def get_error(cls, name, correct_value): return cls('Wrong value of the parameter {}: it must be {}'.format(name, correct_value)) class ValidationError(TemplieException): @classmethod def get_error(cls, message): return cls(message) class ParseException(Exception): pass

22.931818

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0

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null

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null

0

1

0

1

0

5

69d147476a4b180b13f6365296d22eebaae9e695

90

py

Python

tests/__init__.py

danagle/boggled

13fea4c31b5dff72093c38d1ad368dec9d44f4d0

[ "MIT" ]

null

tests/__init__.py

danagle/boggled

13fea4c31b5dff72093c38d1ad368dec9d44f4d0

[ "MIT" ]

null

tests/__init__.py

danagle/boggled

13fea4c31b5dff72093c38d1ad368dec9d44f4d0

[ "MIT" ]

null

all = ['test_dice', 'test_boggle_dice', 'test_boggle_board', 'test_boggle_solver']

30

49

0.7

12

90

4.666667

0.5

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0.5

0

0.144444

90

2

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45

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0

0.666667

0

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null

1

0

1

0

1

0

null

0

5

69d5d8babf7a01c25da3c309ee02cc84cbe5b57d

526

py

Python

J_Mathematical_Modeling/Section 3/solutionExercise9.py

sylvain2002/CBM101

4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5

[ "MIT" ]

null

J_Mathematical_Modeling/Section 3/solutionExercise9.py

sylvain2002/CBM101

4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5

[ "MIT" ]

null

J_Mathematical_Modeling/Section 3/solutionExercise9.py

sylvain2002/CBM101

4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5

[ "MIT" ]

null

print("The elementary reactions are:") print(" Reaction 1: the birth of susceptible individuals with propensity b") print(" Reaction 2: their death with propensity mu_S*S(t)") print(" Reaction 3: their infection with propensity beta * S(t)*I(t)") print(" Reaction 4: the death of infected individuals with propensity mu_I*I(t) with mu_I>mu_S") print(" Reaction 5: the recovery of infected individuals with rate alpha * I(t)") print(" Reaction 6: the death of recovered individuals with propensity mu_R*R(t), with mu_R<mu_I.")

65.75

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90

526

4.333333

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0.2

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0.076923

0

0.013216

0.136882

526

7

100

75.142857

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true

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null

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null

0

1

0

1

0

5

0e0366960a59b6a05662084f64fb0d2bc1e56d73

7,073

py

Python

providers/forms.py

EDario333/minegocito

5dd0869fa2510bb8152f4a117f33b2a30bb6d69c

[ "MIT" ]

null

providers/forms.py

EDario333/minegocito

5dd0869fa2510bb8152f4a117f33b2a30bb6d69c

[ "MIT" ]

null

providers/forms.py

EDario333/minegocito

5dd0869fa2510bb8152f4a117f33b2a30bb6d69c

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.forms import ModelForm from django.forms.widgets import TextInput from django.utils.translation import gettext as _ from .models import Providers from catalogues.models import Person class FrmProviders(ModelForm): title = None action = None btn_label = None icon_btn_submit=None def __init__(self, title=None, action=None, btn_label=None, icon_btn_submit=None, *args, **kwargs): super(FrmProviders, self).__init__(*args, **kwargs) self.title = title self.action = action self.btn_label = btn_label self.icon_btn_submit = icon_btn_submit self.fields['name'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['rfc'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['city'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['address_line1'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['address_line2'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['email'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['cell_phone'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['home_phone'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['other_phone'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} #self.fields['contact_person'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} title_frm = title.upper() if 'AGREGAR' in title_frm: self.fields['name'].label = '* ' + self.fields['name'].label self.fields['rfc'].label = '* ' + self.fields['rfc'].label self.fields['city'].label = '* ' + self.fields['city'].label self.fields['address_line1'].label = '* ' + self.fields['address_line1'].label self.fields['email'].label = '* ' + self.fields['email'].label self.fields['cell_phone'].label = '* ' + self.fields['cell_phone'].label #elif 'BUSCAR' in title_frm: else: self.fields['name'].required = False self.fields['rfc'].required = False self.fields['city'].required = False self.fields['address_line1'].required = False self.fields['address_line2'].required = False self.fields['email'].required = False self.fields['cell_phone'].required = False self.fields['home_phone'].required = False self.fields['other_phone'].required = False #self.fields['contact_person'].required = False class Meta: model = Providers fields = [ 'name', 'rfc', 'city', 'address_line1', 'address_line2', 'email', 'cell_phone', 'home_phone', 'other_phone'#, 'contact_person' ] exclude = [ 'created_at', 'created_when', 'disabled', 'disabled_at', 'disabled_when', 'disabled_reason', 'dropped', 'dropped_at', 'dropped_when', 'created_by_user', 'dropped_reason' ] widgets = { 'city': TextInput(), #'contact_person': TextInput() } class FrmContactPerson(ModelForm): title = None btn_label = None def __init__(self, title=None, btn_label=None, *args, **kwargs): super(FrmContactPerson, self).__init__(*args, **kwargs) self.title = title self.btn_label = btn_label self.fields['last_name'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['mothers_last_name'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['first_name'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['middle_name'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['gender'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} self.fields['dob'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0', 'placeholder': _('Date format')} self.fields['email'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0', 'id': 'id_email_contact_person'} self.fields['city'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0', 'id': 'id_city_contact_person'} self.fields['address_line1'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0', 'id': 'id_address_line1_contact_person'} self.fields['address_line2'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0', 'id': 'id_address_line2_contact_person'} self.fields['cell_phone'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0', 'id': 'id_cell_phone_contact_person'} self.fields['home_phone'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0', 'id': 'id_home_phone_contact_person'} self.fields['other_phone'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0', 'id': 'id_other_phone_contact_person'} #self.fields['contact_person'].widget.attrs = {'class': 'form-control validate', 'style': 'margin: 0 0 10px 0'} title_frm = title.upper() if _('New female').upper() in title_frm: self.fields['last_name'].label = '* ' + self.fields['last_name'].label self.fields['first_name'].label = '* ' + self.fields['first_name'].label self.fields['gender'].label = '* ' + self.fields['gender'].label self.fields['dob'].label = '* ' + self.fields['dob'].label self.fields['email'].label = '* ' + self.fields['email'].label self.fields['cell_phone'].label = '* ' + self.fields['cell_phone'].label # self.fields['dob'].required = False #elif 'BUSCAR' in title_frm: else: self.fields['last_name'].required = False self.fields['mothers_last_name'].required = False self.fields['first_name'].required = False self.fields['middle_name'].required = False self.fields['gender'].required = False self.fields['dob'].required = False self.fields['email'].required = False self.fields['city'].required = False self.fields['address_line1'].required = False self.fields['address_line2'].required = False self.fields['cell_phone'].required = False self.fields['home_phone'].required = False self.fields['other_phone'].required = False #self.fields['contact_person'].required = False class Meta: model = Person fields = [ 'last_name', 'mothers_last_name', 'first_name', 'middle_name', 'gender', 'dob', 'email', 'city', 'address_line1', 'address_line2', 'cell_phone', 'home_phone', 'other_phone' ] exclude = [ 'created_at', 'created_when', 'disabled', 'disabled_at', 'disabled_when', 'disabled_reason', 'dropped', 'dropped_at', 'dropped_when', 'created_by_user', 'dropped_reason' ] widgets = { 'city': TextInput(), #'contact_person': TextInput() }

49.118056

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0

5

0e117e7015cb670f322b20dd8db2aff11a263c0e

611

py

Python

Cython/cython1/ex2/main.py

hoppfull/Legacy-Python

43f465bfdb76c91f2ac16aabb0783fdf5f459adb

[ "MIT" ]

null

Cython/cython1/ex2/main.py

hoppfull/Legacy-Python

43f465bfdb76c91f2ac16aabb0783fdf5f459adb

[ "MIT" ]

null

Cython/cython1/ex2/main.py

hoppfull/Legacy-Python

43f465bfdb76c91f2ac16aabb0783fdf5f459adb

[ "MIT" ]

null

import pprimes #Here we import a pure python version of my prime-function import cprimes #Here we import a file with two cython compiled versions of my prime function #The first cython compiled function is identical in code to the python, the second contains three int declerations # print(pprimes.primes_py(12000)) #The pure python version takes 13s to execute with 12000 as value # print(cprimes.primes_cy(12000)) #The cython compiled pure python version takes 9s to execute with 12000 as value # print(cprimes.primes(12000)) #The cython compiled version with declerations takes less than a second to execute

87.285714

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0.103659

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0.174797

0

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0.148936

611

7

115

87.285714

0.892308

0.92635

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true

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null

0

1

0

1

0

1

0

5

3875b49eadc83fa03cf31a85bd13eb43f62c17b4

150

py

Python

solver/actions/append.py

Levivb/CalculatorSolver

27e1b38881522628397a9f8ab1347ce50ad16004

[ "MIT" ]

null

solver/actions/append.py

Levivb/CalculatorSolver

27e1b38881522628397a9f8ab1347ce50ad16004

[ "MIT" ]

null

solver/actions/append.py

Levivb/CalculatorSolver

27e1b38881522628397a9f8ab1347ce50ad16004

[ "MIT" ]

null

from ..input_action import InputAction class Append(InputAction): def run(self, total, game): return int(str(total) + str(self._value))

21.428571

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0.693333

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150

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150

6

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false

0

0.25

1

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null

0

1

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null

0

1

0

1

0

5

3876b9516aa70a1915a24ba36d827daea8e93733

125

py

Python

data/db/table/__init__.py

dingyuanhong/Collection

43bfae16c93b643d1b09d84f27bfdbe5ef8ed497

[ "MIT" ]

1

2021-07-03T13:39:42.000Z

data/db/table/__init__.py

dingyuanhong/Collection

43bfae16c93b643d1b09d84f27bfdbe5ef8ed497

[ "MIT" ]

null

data/db/table/__init__.py

dingyuanhong/Collection

43bfae16c93b643d1b09d84f27bfdbe5ef8ed497

[ "MIT" ]

1

2020-05-29T23:38:22.000Z

from .day import * from .minute import * from .month import * from .week import * from .company import * from .stock import *

20.833333

22

0.72

18

125

5

0.444444

0.555556

0

0.184

125

6

23

20.833333

0.882353

0

1

0

true

0

1

0

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0

1

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null

1

0

1

0

null

0

1

0

1

0

5

388b50902f0a566b288a52aa3ce195039e85a519

245

py

Python

amadeus/media/_files.py

akshitsingla/amadeus-python

d8f3595e556b674998156f98d8a318045bb4c21c

[ "MIT" ]

125

2018-04-09T07:27:24.000Z

2022-02-22T11:45:20.000Z

amadeus/media/_files.py

akshitsingla/amadeus-python

d8f3595e556b674998156f98d8a318045bb4c21c

[ "MIT" ]

58

2018-03-29T14:58:01.000Z

2022-03-17T10:18:07.000Z

amadeus/media/_files.py

akshitsingla/amadeus-python

d8f3595e556b674998156f98d8a318045bb4c21c

[ "MIT" ]

58

2018-04-06T10:56:20.000Z

2022-03-04T01:23:24.000Z

from amadeus.client.decorator import Decorator from .files import GeneratedPhotos class Files(Decorator, object): def __init__(self, client): Decorator.__init__(self, client) self.generated_photos = GeneratedPhotos(client)

27.222222

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0.755102

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null

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1

0

1

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5

38d866e2d7f47ed638e33caa25bb8c9798961f89

263

py

Python

src/koeda/utils/space.py

toriving/KoEDA

5dfbb0e88ede13da2e5e72ac94fe7cb12c0b7cd1

[ "MIT" ]

48

2021-04-23T16:13:41.000Z

2022-03-24T09:03:26.000Z

src/koeda/utils/space.py

toriving/KoEDA

5dfbb0e88ede13da2e5e72ac94fe7cb12c0b7cd1

[ "MIT" ]

6

2020-11-19T13:56:29.000Z

2021-09-26T12:13:23.000Z

src/koeda/utils/space.py

toriving/KoEDA

5dfbb0e88ede13da2e5e72ac94fe7cb12c0b7cd1

[ "MIT" ]

3

2021-09-13T07:14:29.000Z

2021-12-29T09:52:36.000Z

SPACE_TOKEN = "\u241F" def replace_space(text: str) -> str: return text.replace(" ", SPACE_TOKEN) def revert_space(text: list) -> str: clean = ( " ".join("".join(text).replace(SPACE_TOKEN, " ").split()) .strip() ) return clean

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0.577947

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263

4.741935

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0.204082

0.217687

0.285714

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0.015075

0.243346

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13

66

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0

0.111111

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null

1

0

null

0

1

0

1

0

5

2a1d6f89b15c29b924f7235a132078d0dbc8b653

144

py

Python

Lib/site-packages/grasp-1.0-py3.5.egg/grasp/models/grippers/__init__.py

shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings

1fa4cd6a566c8745f455fc3d2273208f21f88ced

[ "bzip2-1.0.6" ]

1

2021-11-25T02:14:23.000Z

grasp/models/grippers/__init__.py

shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings

1fa4cd6a566c8745f455fc3d2273208f21f88ced

[ "bzip2-1.0.6" ]

null

grasp/models/grippers/__init__.py

shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings

1fa4cd6a566c8745f455fc3d2273208f21f88ced

[ "bzip2-1.0.6" ]

null

from .gripper import Gripper from .gripper_factory import gripper_factory from .two_finger_gripper import TwoFingerGripper, LeftTwoFingerGripper

48

70

0.888889

17

144

7.294118

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0.083333

144

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null

0

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0

1

0

1

0

5

2a22d661aad89afc53a07f2c0c6c4d3e567695d1

101

py

Python

blog/views.py

joegasewicz/joes-tech-blog

35f63aa92d47641e19b82d4a50f56833e47b9911

[ "MIT" ]

null

blog/views.py

joegasewicz/joes-tech-blog

35f63aa92d47641e19b82d4a50f56833e47b9911

[ "MIT" ]

null

blog/views.py

joegasewicz/joes-tech-blog

35f63aa92d47641e19b82d4a50f56833e47b9911

[ "MIT" ]

null

from django.shortcuts import render def blog(request): return render(request, "blog.html", {})

16.833333

43

0.712871

13

101

5.538462

0.769231

0

0.158416

101

5

44

20.2

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null

0

1

0

null

0

1

0

1

0

5

aa6e7de340509e00ead939b373fa7a6ab2a055bb

266

py

Python

services/risks/risk_by_vehicle_year.py

rfukui/orign

7d0c22d5f006727ec33fa57efec75c7e762decc5

[ "Unlicense" ]

null

services/risks/risk_by_vehicle_year.py

rfukui/orign

7d0c22d5f006727ec33fa57efec75c7e762decc5

[ "Unlicense" ]

null

services/risks/risk_by_vehicle_year.py

rfukui/orign

7d0c22d5f006727ec33fa57efec75c7e762decc5

[ "Unlicense" ]

1

2020-11-09T15:21:51.000Z

from datetime import datetime from config import VEHICLE_AGE_TO_INCREASE_RISK, RISK_INCREASE_BY_VEHICLE_AGE def risk_by_vehicle_year(year): if datetime.now().year - year <= VEHICLE_AGE_TO_INCREASE_RISK: return RISK_INCREASE_BY_VEHICLE_AGE return 0

29.555556

77

0.808271

41

266

4.780488

0.390244

0.204082

0.122449

0.204082

0.489796

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0.004405

0.146617

266

8

78

33.25

0.859031

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false

0

0.333333

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0.833333

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null

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1

0

1

0

null

0

1

0

1

0

5

aa95983ebdc594b021caac1ddcd452d090b226e2

56

py

Python

python/ql/test/3/library-tests/modules/package_members/test_package/__init__.py

vadi2/codeql

a806a4f08696d241ab295a286999251b56a6860c

[ "MIT" ]

4,036

2020-04-29T00:09:57.000Z

2022-03-31T14:16:38.000Z

python/ql/test/3/library-tests/modules/package_members/test_package/__init__.py

vadi2/codeql

a806a4f08696d241ab295a286999251b56a6860c

[ "MIT" ]

2,970

2020-04-28T17:24:18.000Z

2022-03-31T22:40:46.000Z

python/ql/test/3/library-tests/modules/package_members/test_package/__init__.py

ScriptBox99/github-codeql

2ecf0d3264db8fb4904b2056964da469372a235c

[ "MIT" ]

794

2020-04-29T00:28:25.000Z

2022-03-30T08:21:46.000Z

from .module1 import * from .module4 import * import sys

18.666667

22

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8

56

5.375

0.625

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0.042553

0.160714

56

3

23

18.666667

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true

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null

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null

0

1

0

1

0

1

0

5

aaa4cd0c794e6fd3cb94a0ca6787134af48f1f22

7,801

py

Python

services/friend_service/friend_request_services.py

hnguyenworkstation/hoocons_backend

725461812a172ca0a88181e3399e6e2294953273

[ "MIT" ]

null

services/friend_service/friend_request_services.py

hnguyenworkstation/hoocons_backend

725461812a172ca0a88181e3399e6e2294953273

[ "MIT" ]

null

services/friend_service/friend_request_services.py

hnguyenworkstation/hoocons_backend

725461812a172ca0a88181e3399e6e2294953273

[ "MIT" ]

null

from flask_jwt import jwt_required, current_identity from flask_restful import reqparse, Resource from static import status from models.user import User from models.relationship import * from static import app_constant parser = reqparse.RequestParser() parser.add_argument("username", type=str, location="json") class SendFriendRequest(Resource): @jwt_required() def post(self): try: # Parsing JSON body = parser.parse_args() to_username = body.username user = current_identity.user() to_user = User.objects(username=to_username).first() if user is None or to_user is None: return {"message": "failed to find user"}, status.HTTP_203_NON_AUTHORITATIVE_INFORMATION ''' ********** If this user already sent you a request -- sent back to him a request means accept friendship ********** ''' if any(to_username in sublist for sublist in user.friends_request_from) is True: # Getting the relationship object relationship = Relationship.objects(between_users=[user.username, to_username]).first() if relationship is None: relationship = Relationship.objects(between_users=[to_username, user.username]).first() if relationship is None: return {"message": "unable to find friend request"}, status.HTTP_204_NO_CONTENT # If the friend request found user.update(pull__friends_request_from=relationship) to_user.update(pull__friends_request_to=relationship) relationship.update(time_of_action=datetime.utcnow(), status=app_constant.is_friend) user.update(add_to_set__friends=relationship) to_user.update(add_to_set__friends=relationship) ''' ********** If you already sent this user a friend request before ********** ''' if any(to_username in sublist for sublist in user.friends_request_to) is True: return {"message": "request already sent"}, status.HTTP_201_CREATED ''' ********** Nothing happened before, send branch new request to the user ********** ''' friend_request = Relationship(between_users=[user.username, to_username], status=app_constant.friend_requesting).save() user.update(add_to_set__friends_request_to=friend_request) to_user.update(add_to_set__friends_request_from=friend_request) return {"message": "success"}, status.HTTP_200_OK except Exception as e: return {"message": str(e)}, status.HTTP_400_BAD_REQUEST class AcceptFriendRequest(Resource): @jwt_required() def post(self): try: # Parsing JSON body = parser.parse_args() from_username = body.username user = current_identity.user() from_user = User.objects(username=from_username).first() if user is None or from_user is None: return {"message": "failed to find user"}, status.HTTP_203_NON_AUTHORITATIVE_INFORMATION # Checking if this user requested friend yet if any(from_username in sublist for sublist in user.friends_request_from) is True: # Getting the relationship object relationship = Relationship.objects(between_users=[user.username, from_username]).first() if relationship is None: relationship = Relationship.objects(between_users=[from_username, user.username]).first() if relationship is None: return {"message": "unable to find friend request"}, status.HTTP_204_NO_CONTENT # If the friend request found user.update(pull__friends_request_from=relationship) from_user.update(pull__friends_request_to=relationship) relationship.update(time_of_action=datetime.utcnow(), status=app_constant.is_friend) user.update(add_to_set__friends=relationship) from_user.update(add_to_set__friends=relationship) return {"message": "success"}, status.HTTP_200_OK else: return {"message": "unable to find user request"}, status.HTTP_204_NO_CONTENT except Exception as e: return {"message": str(e)}, status.HTTP_400_BAD_REQUEST class DeclineFriendRequest(Resource): @jwt_required() def post(self): try: # Parsing JSON body = parser.parse_args() from_username = body.username user = current_identity.user() blocked_user = User.objects(username=from_username).first() if user is None or blocked_user is None: return {"message": "failed to find user"}, status.HTTP_203_NON_AUTHORITATIVE_INFORMATION # Checking if this user requested friend yet if any(from_username in sublist for sublist in user.friends_request_from) is True: # Getting the relationship object relationship = Relationship.objects(between_users=[user.username, from_username]).first() if relationship is None: relationship = Relationship.objects(between_users=[from_username, user.username]).first() if relationship is None: return {"message": "unable to find friend request"}, status.HTTP_204_NO_CONTENT # If the friend request found user.update(pull__friends_request_from=relationship) blocked_user.update(pull__friends_request_to=relationship) relationship.delete() return {"message": "success"}, status.HTTP_200_OK else: return {"message": "unable to find user request"}, status.HTTP_204_NO_CONTENT except Exception as e: return {"message": str(e)}, status.HTTP_400_BAD_REQUEST class UnfriendRequest(Resource): @jwt_required() def delete(self): try: # Parsing JSON body = parser.parse_args() friend_username = body.username user = current_identity.user() friend = User.objects(username=friend_username).first() if user is None or friend is None: return {"message": "failed to find user"}, status.HTTP_203_NON_AUTHORITATIVE_INFORMATION ''' Checking if the requesting user is in the friend list ''' if any(friend_username in sublist for sublist in user.friends) is True: # Getting the relationship object relationship = Relationship.objects(between_users=[user.username, friend_username]).first() if relationship is None: relationship = Relationship.objects(between_users=[friend_username, user.username]).first() if relationship is None: return {"message": "unable to find relationship"}, status.HTTP_204_NO_CONTENT # If the friend request found user.update(pull__friends=relationship) friend.update(pull__friends=relationship) relationship.delete() return {"message": "success"}, status.HTTP_200_OK else: return {"message": "not active friend"} except Exception as e: return {"message": str(e)}, status.HTTP_400_BAD_REQUEST

44.073446

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0.610306

848

7,801

5.385613

0.14033

0.05693

0.039413

0.033282

0.806656

0.800088

0.792205

0.722794

0.699365

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0.01055

0.307396

7,801

176

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44.323864

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null

0

1

0

1

0

null

0

5

2ab8da4aa0c07a443695f4464280c6b8fdb4ac6d

424

py

Python

hw/maria_saganovich/lesson6_hw/test_lvl7_str_duplicate_char.py

alexander-sidorov/qap-05

6db7c0a1eeadd15f7d3f826e7f0ac4be3949ec8c

[ "MIT" ]

9

2021-12-10T21:30:07.000Z

2022-02-25T21:32:34.000Z

hw/maria_saganovich/lesson6_hw/test_lvl7_str_duplicate_char.py

alexander-sidorov/qap-05

6db7c0a1eeadd15f7d3f826e7f0ac4be3949ec8c

[ "MIT" ]

22

2021-12-11T08:46:58.000Z

2022-02-02T15:56:37.000Z

hw/maria_saganovich/lesson6_hw/test_lvl7_str_duplicate_char.py

alexander-sidorov/qap-05

6db7c0a1eeadd15f7d3f826e7f0ac4be3949ec8c

[ "MIT" ]

8

2021-12-11T09:15:45.000Z

2022-02-02T08:09:09.000Z

from hw.maria_saganovich.lesson6_hw.lvl7_str_duplicate_char import ( func7_str_duplicate_char, ) def test_func7_str_duplicate_char() -> None: assert func7_str_duplicate_char("a3b2c1") == {"data": "aaabbc"} assert func7_str_duplicate_char("aaa3b2c1") == {"data": "aaaaaaaaabbc"} assert func7_str_duplicate_char("") == {"data": ""} assert func7_str_duplicate_char([]) == {"errors": ["Invalid argument"]}

38.545455

75

0.721698

52

424

5.423077

0.442308

0.297872

0.397163

0.446809

0.382979

0

0.037736

0.125

424

10

76

42.4

0.722372

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0.5

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true

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0.25

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null

1

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null

0

1

0

1

0

5

2ae08adaae5d95085ed9c1a3c47ddd83fa78bcc6

52

py

Python

Problems/areal.py

ramonrwx/kattis

f1de45dc3afd0c5d5eeb9fe40a7a54b768202d33

[ "Unlicense" ]

1

2021-11-30T06:47:24.000Z

Problems/areal.py

ramonrwx/kattis

f1de45dc3afd0c5d5eeb9fe40a7a54b768202d33

[ "Unlicense" ]

null

Problems/areal.py

ramonrwx/kattis

f1de45dc3afd0c5d5eeb9fe40a7a54b768202d33

[ "Unlicense" ]

null

from math import sqrt print(sqrt(int(input())) * 4)

17.333333

29

0.692308

9

52

4

0.888889

0

0.022222

0.134615

52

2

30

26

0.777778

0

1

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true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

2af39730cbb1252b5c32782bb9c0aa158df813cc

77

py

Python

plugins/wfp/admin.py

BLSQ/iaso-copy

85fb17f408c15e8c2d730416d1312f58f8db39b7

[ "MIT" ]

null

plugins/wfp/admin.py

BLSQ/iaso-copy

85fb17f408c15e8c2d730416d1312f58f8db39b7

[ "MIT" ]

null

plugins/wfp/admin.py

BLSQ/iaso-copy

85fb17f408c15e8c2d730416d1312f58f8db39b7

[ "MIT" ]

1

2022-03-23T16:44:12.000Z

from django.contrib import admin from iaso.models import Entity, EntityType

19.25

42

0.831169

11

77

5.818182

0.818182

0

0.12987

77

3

43

25.666667

0.955224

0

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true

0

1

0

1

0

1

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0

1

0

null

0

1

0

1

0

1

0

5

2d47f9030fd3a942f3a6aec629981ba363f85291

119

py

Python

AI2/AI2/accounts/views.py

badrabbit96/Django_Python_App

7876b02f5c9fee09d8fb1cb158f8310ed12a7faa

[ "MIT" ]

null

AI2/AI2/accounts/views.py

badrabbit96/Django_Python_App

7876b02f5c9fee09d8fb1cb158f8310ed12a7faa

[ "MIT" ]

null

AI2/AI2/accounts/views.py

badrabbit96/Django_Python_App

7876b02f5c9fee09d8fb1cb158f8310ed12a7faa

[ "MIT" ]

null

from django.shortcuts import render, HttpResponse def home(request): return render(request, 'accounts/login.html')

29.75

49

0.781513

15

119

6.2

0.866667

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119

4

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29.75

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0.333333

false

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0

null

0

1

0

1

0

5

2d5ef8dbe78cced309375b97d59e7f6268a1c03b

6,721

py

Python

plot/plot_train.py

ShaoboYang-USTC/DisperPicker

d9365d981d896a9ace4f0298c7c888fd2da699cb

[ "MIT" ]

null

plot/plot_train.py

ShaoboYang-USTC/DisperPicker

d9365d981d896a9ace4f0298c7c888fd2da699cb

[ "MIT" ]

null

plot/plot_train.py

ShaoboYang-USTC/DisperPicker

d9365d981d896a9ace4f0298c7c888fd2da699cb

[ "MIT" ]

1

2022-03-30T20:57:46.000Z

import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import numpy as np from config.config import Config # np.set_printoptions(threshold=np.nan) def plot_train(fig, curve1, curve2, data_area, name): """ Plot the figures of the training process. Args: fig: Group and phase dispersion images. curve1: Predicted probability images. curve2: Label probability images. data_area: Data area. name: Image storage name. """ data_T_range = {'Suqian':[0.5, 8, 76], 'Changning':[0.1, 7.6, 76], 'Weifang':[0.6, 8.1, 76]} range_V = [1, 5, 201] # velocity range range_T = data_T_range[data_area] # period range fontsize = 18 figformat = '.png' plt.figure(figsize=(12, 16), clear=True) plt.tick_params(labelsize=15) # plt.subplots_adjust(wspace=0.3, hspace=0.3) plt.subplot(421) image = fig[0] z_max = np.array(image).max() z_min = np.array(image).min() x1 = np.linspace(range_T[0],range_T[1],range_T[2]) y1 = np.linspace(range_V[0],range_V[1],range_V[2]) plt.pcolor(x1, y1, image, cmap='jet', vmin=z_min, vmax=z_max+0.05) plt.colorbar() ture_G = [] curve2[0] = np.array(curve2[0]) max = np.max(curve2[0], axis=0) curve2[0] = curve2[0].T for i in range(len(max)): index = list(curve2[0][i]).index(max[i]) ture_G.append(index*Config().dV+range_V[0]) b, e = line_interval(ture_G, range_T, range_V) plt.plot(x1[b:e],ture_G[b:e],'-wo', linewidth=2, markersize=3, label='label') curve2[0] = curve2[0].T plt.xlabel('Period (s)',fontsize=fontsize) plt.ylabel('Group Velocity (km/s)',fontsize=fontsize) plt.title('G disp spectrogram',fontsize=fontsize) plt.tick_params(labelsize=15) plt.subplot(422) x2 = x1 y2 = y1 plt.pcolor(x2, y2, curve1[0], cmap='jet', vmin=0, vmax=1.05) plt.colorbar() plt.xlabel('Period (s)',fontsize=fontsize) plt.ylabel('Group Velocity (km/s)',fontsize=fontsize) plt.title('Predicted G',fontsize=fontsize) plt.tick_params(labelsize=15) plt.subplot(423) x3 = x1 y3 = y1 plt.pcolor(x3, y3, curve2[0], cmap='jet', vmin=0, vmax=1.05) plt.colorbar() plt.xlabel('Period (s)',fontsize=fontsize) plt.ylabel('Group Velocity (km/s)',fontsize=fontsize) plt.title('Label G',fontsize=fontsize) plt.tick_params(labelsize=15) plt.subplot(424) x4 = x1 curve1[0] = np.array(curve1[0]) max = np.max(curve1[0], axis=0) curve1[0] = curve1[0].T y4=[] for i in range(len(max)): index = list(curve1[0][i]).index(max[i]) y4.append(index*Config().dV+range_V[0]) plt.plot(x4,y4,'-ko', linewidth=2, markersize=3, label='Predicted') x4 = x1 #curve2[0] = np.array(curve2[0]) #max = np.max(curve2[0], axis=0) #curve2[0] = curve2[0].T #y4=[] #for i in range(len(max)): # index = list(curve2[0][i]).index(max[i]) # y4.append(index/500) plt.pcolor(x1, y1, image, cmap='jet', vmin=z_min, vmax=z_max+0.05) plt.colorbar() b, e = line_interval(ture_G, range_T, range_V) plt.plot(x4[b:e],ture_G[b:e],'-wo', linewidth=2, markersize=3, label='Label') xrefer = x4[b:e] yrefer = ture_G[b:e] plt.ylim((range_V[0],range_V[1])) plt.legend(loc=0,fontsize=14) plt.xlabel('Period (s)',fontsize=fontsize) plt.ylabel('Group Velocity (km/s)',fontsize=fontsize) plt.title('Group velocity',fontsize=fontsize) plt.tick_params(labelsize=15) plt.subplot(425) image = fig[1] z_max = np.array(image).max() z_min = np.array(image).min() x1 = np.linspace(range_T[0],range_T[1],range_T[2]) y1 = np.linspace(range_V[0],range_V[1],range_V[2]) plt.pcolor(x1, y1, image, cmap='jet', vmin=z_min, vmax=z_max+0.05) plt.colorbar() ture_C = [] curve2[1] = np.array(curve2[1]) max = np.max(curve2[1], axis=0) curve2[1] = curve2[1].T for i in range(len(max)): index = list(curve2[1][i]).index(max[i]) ture_C.append(index*Config().dV+range_V[0]) b, e = line_interval(ture_C, range_T, range_V) plt.plot(x1[b:e],ture_C[b:e],'-wo', linewidth=2, markersize=3, label='Label') curve2[1] = curve2[1].T plt.xlabel('Period (s)',fontsize=fontsize) plt.ylabel('Phase Velocity (km/s)',fontsize=fontsize) plt.title('C disp spectrogram',fontsize=fontsize) plt.tick_params(labelsize=15) plt.subplot(426) x2 = x1 y2 = y1 plt.pcolor(x2, y2, curve1[1], cmap='jet', vmin=0, vmax=1.05) plt.colorbar() plt.xlabel('Period (s)',fontsize=fontsize) plt.ylabel('Phase Velocity (km/s)',fontsize=fontsize) plt.title('Predicted C',fontsize=fontsize) plt.tick_params(labelsize=15) plt.subplot(427) x3 = x1 y3 = y1 plt.pcolor(x3, y3, curve2[1], cmap='jet', vmin=0, vmax=1.05) plt.colorbar() plt.xlabel('Period (s)',fontsize=fontsize) plt.ylabel('Phase Velocity (km/s)',fontsize=fontsize) plt.title('Label C',fontsize=fontsize) plt.tick_params(labelsize=15) plt.subplot(428) x4 = x1 curve1[1] = np.array(curve1[1]) max = np.max(curve1[1], axis=0) curve1[1] = curve1[1].T y4=[] for i in range(len(max)): index = list(curve1[1][i]).index(max[i]) y4.append(index*Config().dV+range_V[0]) plt.plot(x4,y4,'-ko', linewidth=2, markersize=3, label='Predicted') x4 = x1 #curve2[1] = np.array(curve2[1]) #max = np.max(curve2[1], axis=0) #curve2[1] = curve2[1].T #y4=[] #for i in range(len(max)): # index = list(curve2[1][i]).index(max[i]) # y4.append(index/500) plt.pcolor(x1, y1, image, cmap='jet', vmin=z_min, vmax=z_max+0.05) plt.colorbar() b, e = line_interval(ture_C, range_T, range_V) plt.plot(x4[b:e],ture_C[b:e],'-wo', linewidth=2, markersize=3, label='Label') # plt.plot(xrefer,yrefer,'-co', linewidth=1.5, markersize=2, label='G velocity') plt.ylim((range_V[0],range_V[1])) plt.legend(loc=0,fontsize=14) plt.xlabel('Period (s)',fontsize=fontsize) plt.ylabel('Phase Velocity (km/s)',fontsize=fontsize) plt.title('Phase velocity',fontsize=fontsize) plt.tick_params(labelsize=15) plt.tight_layout() plt.savefig(name+figformat, bbox_inches='tight', dpi=300) plt.close() def line_interval(curve, range_T, range_V): start = 0 end = range_T[-1] for each in curve: if each != range_V[0]: break start += 1 reverse = list(curve) reverse.reverse() for each in reverse: if each != range_V[0]: break end -= 1 return start, end if __name__ == '__main__': pass

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null

0

1

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null

0

5

2db06a2ad5cfce215a90b61ec129c1b07aca52a0

922

py

Python

06.Polymorphism_and_abstraction/Lab/image_area.py

nmoskova/Python-OOP

07327bcb93eee3a7db5d7c0bbdd1b54eb9e8b864

[ "MIT" ]

null

06.Polymorphism_and_abstraction/Lab/image_area.py

nmoskova/Python-OOP

07327bcb93eee3a7db5d7c0bbdd1b54eb9e8b864

[ "MIT" ]

null

06.Polymorphism_and_abstraction/Lab/image_area.py

nmoskova/Python-OOP

07327bcb93eee3a7db5d7c0bbdd1b54eb9e8b864

[ "MIT" ]

null

class ImageArea: def __init__(self, width, height): self.width = width self.height = height def get_area(self): area = self.width * self.height return area def __gt__(self, other): return self.get_area() > other.get_area() def __ge__(self, other): return self.get_area() >= other.get_area() def __lt__(self, other): return self.get_area() < other.get_area() def __le__(self, other): return self.get_area() <= other.get_area() def __eq__(self, other): return self.get_area() == other.get_area() def __ne__(self, other): return self.get_area() != other.get_area() image_one = ImageArea(10, 10) image_two = ImageArea(10, 10) print(image_one < image_two) print(image_one <= image_two) print(image_one > image_two) print(image_one >= image_two) print(image_one == image_two) print(image_one != image_two)

24.263158

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null

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1

0

5

2dcaabe40920abbb3e912e0a14a77ad4369c7b5d

61

py

Python

tests/tasks/firebolt/__init__.py

suryatmodulus/prefect

e4ac9f6aa831140c7fba0397f3e5e0884b1b9e42

[ "Apache-2.0" ]

3

2021-11-09T10:46:58.000Z

2022-03-11T04:22:35.000Z

tests/tasks/firebolt/__init__.py

suryatmodulus/prefect

e4ac9f6aa831140c7fba0397f3e5e0884b1b9e42

[ "Apache-2.0" ]

10

2021-06-26T08:04:45.000Z

2022-03-26T08:04:52.000Z

tests/tasks/firebolt/__init__.py

suryatmodulus/prefect

e4ac9f6aa831140c7fba0397f3e5e0884b1b9e42

[ "Apache-2.0" ]

1

2022-03-11T04:22:40.000Z

import pytest pytest.importorskip("firebolt.db.connection")

15.25

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7

61

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0.065574

61

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1

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5

2dda30e35eefe43ca7a6507a1123ca279b44e73c

156

py

Python

Notebooks/SentinelUtilities/SentinelExceptions/__init__.py

ytognder/Azure-Sentinel

7345560f178e731d7ba5a5541fd3383bca285311

[ "MIT" ]

266

2019-10-18T00:41:39.000Z

2022-03-18T05:44:01.000Z

Notebooks/SentinelUtilities/SentinelExceptions/__init__.py

ytognder/Azure-Sentinel

7345560f178e731d7ba5a5541fd3383bca285311

[ "MIT" ]

113

2020-03-10T16:56:10.000Z

2022-03-28T21:54:26.000Z

Notebooks/SentinelUtilities/SentinelExceptions/__init__.py

ytognder/Azure-Sentinel

7345560f178e731d7ba5a5541fd3383bca285311

[ "MIT" ]

93

2020-01-07T20:28:43.000Z

2022-03-23T04:09:39.000Z

# pylint: disable-msg=C0103 """ SentinelExceptions: This package is developed for custom exceptions. """ # __init__.py from .input_error import InputError

19.5

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156

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1

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1

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5

930457b86ff736f0ab28bdf05dc3e7edac060778

79

py

Python

passenger_wsgi.py

perqu/BookShelf

7880586b91c2c7d0fb52bc8c08628ad775cba8cc

[ "MIT" ]

null

passenger_wsgi.py

perqu/BookShelf

7880586b91c2c7d0fb52bc8c08628ad775cba8cc

[ "MIT" ]

null

passenger_wsgi.py

perqu/BookShelf

7880586b91c2c7d0fb52bc8c08628ad775cba8cc

[ "MIT" ]

null

import sys, os sys.path.append(os.getcwd()) from App import app as application

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1

0

1

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1

0

5

9306447e59d43ad304fd5f96e3a183b0992b95b1

75

py

Python

src/evaluation/__init__.py

iserh/data-augmentation

1e1e99177ff4256c68cafe043bd7e50d52bf669d

[ "MIT" ]

null

src/evaluation/__init__.py

iserh/data-augmentation

1e1e99177ff4256c68cafe043bd7e50d52bf669d

[ "MIT" ]

null

src/evaluation/__init__.py

iserh/data-augmentation

1e1e99177ff4256c68cafe043bd7e50d52bf669d

[ "MIT" ]

null

"""Evaluation.""" from .models import CNNMNIST, ModelProben1 # noqa: F401

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0

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0

5

9341d0f223840ced13ba056ee6d6007afa0195ea

145

py

Python

exceptions.py

t3m8ch/WeatherTelegramBot

170f9096ce08a0138c238e10b9ffb91e6bf6c7fc

[ "MIT" ]

1

2021-02-01T15:01:11.000Z

exceptions.py

t3m8ch/WeatherTelegramBot

170f9096ce08a0138c238e10b9ffb91e6bf6c7fc

[ "MIT" ]

null

exceptions.py

t3m8ch/WeatherTelegramBot

170f9096ce08a0138c238e10b9ffb91e6bf6c7fc

[ "MIT" ]

1

2022-03-24T09:27:40.000Z

class CityNotFoundError(Exception): pass class ServerError(Exception): pass class OWMApiKeyIsNotCorrectError(ServerError): pass

12.083333

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null

0

1

0

5

935b2ddb634c08e3060555857bb19a2dfb94531b

78,736

py

Python

biosys/apps/main/tests/api/test_observation.py

florianm/biosys

934d06ed805b0734f3cb9a00feec6cd81a94e512

[ "Apache-2.0" ]

1

2020-08-24T02:44:36.000Z

biosys/apps/main/tests/api/test_observation.py

florianm/biosys

934d06ed805b0734f3cb9a00feec6cd81a94e512

[ "Apache-2.0" ]

19

2016-09-29T01:03:18.000Z

2021-07-02T06:54:05.000Z

biosys/apps/main/tests/api/test_observation.py

florianm/biosys

934d06ed805b0734f3cb9a00feec6cd81a94e512

[ "Apache-2.0" ]

5

2018-12-20T05:36:28.000Z

2021-09-29T00:44:31.000Z

import datetime import io import json import re from os import path from django.contrib.gis.geos import Point from django.urls import reverse from django.utils import timezone from openpyxl import load_workbook from rest_framework import status from main import constants from main.models import Site, Dataset, Record from main.tests import factories from main.tests.api import helpers from main.tests.test_data_package import clone class TestPermissions(helpers.BaseUserTestCase): """ Test Permissions Get: authenticated Update: admin, data_engineer, custodians Create: admin, data_engineer, custodians Delete: admin, data_engineer, custodians """ def setUp(self): super(TestPermissions, self).setUp() rows = [ ['What', 'When', 'Latitude', 'Longitude', 'Comments'], ['Chubby bat', '2018-06-01', -32, 115.75, 'It is huge!'] ] self.ds_1 = self._create_dataset_and_records_from_rows(rows) self.assertEqual(self.ds_1.type, Dataset.TYPE_OBSERVATION) self.record_1 = self.ds_1.record_set.first() self.assertIsNotNone(self.record_1) def test_get(self): urls = [ reverse('api:record-list'), reverse('api:record-detail', kwargs={'pk': self.record_1.pk}) ] access = { "forbidden": [self.anonymous_client], "allowed": [ self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.admin_client, self.data_engineer_1_client, self.data_engineer_2_client ] } for client in access['forbidden']: for url in urls: self.assertIn( client.get(url).status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: self.assertEqual( client.get(url).status_code, status.HTTP_200_OK ) def test_create(self): """ Admin, custodians and data engineers :return: """ urls = [reverse('api:record-list')] ds = self.ds_1 rec = self.record_1 data = { "dataset": rec.dataset.pk, "data": rec.data, "datetime": rec.datetime, "geometry": rec.geometry.geojson } access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_2_client, self.data_engineer_2_client ], "allowed": [ self.admin_client, self.custodian_1_client ] } for client in access['forbidden']: for url in urls: self.assertIn( client.post(url, data, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: count = ds.record_queryset.count() self.assertEqual( client.post(url, data, format='json').status_code, status.HTTP_201_CREATED ) self.assertEqual(ds.record_queryset.count(), count + 1) def test_bulk_create(self): """ Cannot create bulk with this end point :return: """ urls = [reverse('api:record-list')] rec = self.record_1 ds = self.ds_1 data = [ { "dataset": rec.dataset.pk, "data": rec.data }, { "dataset": rec.dataset.pk, "data": rec.data } ] access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_2_client, self.admin_client, self.custodian_1_client, self.data_engineer_1_client, self.data_engineer_2_client ], "allowed": [] } for client in access['forbidden']: for url in urls: self.assertIn( client.post(url, data, format='json').status_code, [status.HTTP_400_BAD_REQUEST, status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: count = ds.record_queryset.count() self.assertEqual( client.post(url, data, format='json').status_code, status.HTTP_201_CREATED ) self.assertEqual(ds.record_queryset.count(), count + len(data)) def test_update(self): """ admin + custodian of project for site 1 :return: """ rec = self.record_1 previous_data = clone(rec.data) updated_data = clone(previous_data) updated_data['Longitude'] = '118.78' urls = [reverse('api:record-detail', kwargs={'pk': rec.pk})] data = { "data": updated_data, } access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_2_client, self.data_engineer_2_client ], "allowed": [self.admin_client, self.custodian_1_client, self.data_engineer_1_client] } for client in access['forbidden']: for url in urls: self.assertIn( client.patch(url, data, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: rec.data = previous_data rec.save() self.assertEqual( client.patch(url, data, format='json').status_code, status.HTTP_200_OK ) rec.refresh_from_db() self.assertEqual(rec.data, updated_data) def test_delete(self): """ Currently admin, custodians and data engineers :return: """ rec = self.record_1 urls = [reverse('api:record-detail', kwargs={'pk': rec.pk})] data = None access = { "forbidden": [ self.anonymous_client, self.readonly_client, self.custodian_2_client, self.data_engineer_2_client ], "allowed": [ self.admin_client, self.custodian_1_client, self.data_engineer_1_client ] } for client in access['forbidden']: for url in urls: self.assertIn( client.delete(url, data, format='json').status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) for client in access['allowed']: for url in urls: rec.save() count = Dataset.objects.count() self.assertEqual( client.delete(url, data, format='json').status_code, status.HTTP_204_NO_CONTENT ) self.assertTrue(Dataset.objects.count(), count - 1) def test_options(self): urls = [ reverse('api:record-list'), reverse('api:record-detail', kwargs={'pk': 1}) ] access = { "forbidden": [self.anonymous_client], "allowed": [ self.readonly_client, self.custodian_1_client, self.custodian_2_client, self.admin_client, self.data_engineer_1_client, self.data_engineer_2_client ] } for client in access['forbidden']: for url in urls: self.assertIn( client.options(url).status_code, [status.HTTP_401_UNAUTHORIZED, status.HTTP_403_FORBIDDEN] ) # authenticated for client in access['allowed']: for url in urls: self.assertEqual( client.options(url).status_code, status.HTTP_200_OK ) class TestDataValidation(helpers.BaseUserTestCase): def setUp(self): super(TestDataValidation, self).setUp() self.ds_1 = self._create_dataset_with_schema( self.project_1, self.data_engineer_1_client, self.observation_schema_with_with_all_possible_geometry_fields(), dataset_type=Dataset.TYPE_OBSERVATION ) # set the date self.record_1 = self._create_record( self.custodian_1_client, self.ds_1, { 'What': 'Chubby bat', 'When': '2018-06-30', 'Latitude': -32.0, 'Longitude': 115.75 } ) self.assertIsNotNone(self.record_1) def test_create_one_happy_path(self): """ Test the create of one record :return: """ # grab one existing an re-inject it record = self.record_1 ds = self.ds_1 data = { "dataset": record.dataset.pk, "data": record.data } url = reverse('api:record-list') client = self.custodian_1_client count = ds.record_queryset.count() self.assertEqual( client.post(url, data, format='json').status_code, status.HTTP_201_CREATED ) self.assertEqual(ds.record_queryset.count(), count + 1) def test_empty_not_allowed(self): ds = self.ds_1 record = self.record_1 data = { "dataset": record.dataset.pk, "data": {} } url = reverse('api:record-list') client = self.custodian_1_client count = ds.record_queryset.count() self.assertEqual( client.post(url, data, format='json').status_code, status.HTTP_400_BAD_REQUEST ) self.assertEqual(ds.record_queryset.count(), count) def test_create_column_not_in_schema(self): """ Test that if we introduce a column not in the the dataset it will not validate :return: """ ds = self.ds_1 record = self.record_1 incorrect_data = clone(record.data) incorrect_data['Extra Column'] = "Extra Value" data = { "dataset": record.dataset.pk, "data": incorrect_data } url = reverse('api:record-list') # set strict mode url = helpers.set_strict_mode(url) client = self.custodian_1_client count = ds.record_queryset.count() self.assertEqual( client.post(url, data, format='json').status_code, status.HTTP_400_BAD_REQUEST ) self.assertEqual(ds.record_queryset.count(), count) def test_update_column_not_in_schema(self): """ Test that if we introduce a column not in the the dataset it will not validate :return: """ ds = self.ds_1 record = self.record_1 incorrect_data = clone(record.data) incorrect_data['Extra Column'] = "Extra Value" data = { "dataset": record.dataset.pk, "data": incorrect_data } url = reverse('api:record-detail', kwargs={"pk": record.pk}) client = self.custodian_1_client count = ds.record_queryset.count() # set strict mode url = helpers.set_strict_mode(url) self.assertEqual( client.put(url, data, format='json').status_code, status.HTTP_400_BAD_REQUEST ) self.assertEqual(ds.record_queryset.count(), count) self.assertEqual( client.patch(url, data, format='json').status_code, status.HTTP_400_BAD_REQUEST ) self.assertEqual(ds.record_queryset.count(), count) def test_date_error(self): """ Test date values :return: """ ds = self.ds_1 record = self.record_1 date_column = ds.schema.observation_date_field.name # ensure the date field is set as required self.assertTrue(ds.schema.observation_date_field.required) new_data = clone(record.data) url_post = reverse('api:record-list') url_update = reverse('api:record-detail', kwargs={'pk': record.pk}) valid_values = ['15/08/2008'] for value in valid_values: new_data[date_column] = value data = { "dataset": record.dataset.pk, "data": new_data } client = self.custodian_1_client count = ds.record_queryset.count() self.assertEqual( client.post(url_post, data, format='json').status_code, status.HTTP_201_CREATED ) self.assertEqual(ds.record_queryset.count(), count + 1) invalid_values = [None, '', 'abcd'] for value in invalid_values: new_data[date_column] = value data = { "dataset": record.dataset.pk, "data": new_data } client = self.custodian_1_client count = ds.record_queryset.count() self.assertEqual( client.post(url_post, data, format='json').status_code, status.HTTP_400_BAD_REQUEST ) self.assertEqual( client.put(url_update, data, format='json').status_code, status.HTTP_400_BAD_REQUEST ) self.assertEqual( client.patch(url_update, data, format='json').status_code, status.HTTP_400_BAD_REQUEST ) self.assertEqual(ds.record_queryset.count(), count) def test_geometry_error(self): """ An observation must have a valid geometry :return: """ ds = self.ds_1 record = self.record_1 lat_column = ds.schema.latitude_field.name new_data = clone(record.data) url_post = reverse('api:record-list') url_update = reverse('api:record-detail', kwargs={'pk': record.pk}) valid_values = [-34.125] for value in valid_values: new_data[lat_column] = value data = { "dataset": record.dataset.pk, "data": new_data } client = self.custodian_1_client count = ds.record_queryset.count() self.assertEqual( client.post(url_post, data, format='json').status_code, status.HTTP_201_CREATED ) self.assertEqual(ds.record_queryset.count(), count + 1) invalid_values = [None, '', 'abcd'] for value in invalid_values: new_data[lat_column] = value data = { "dataset": record.dataset.pk, "data": new_data } client = self.custodian_1_client count = ds.record_queryset.count() self.assertEqual( client.post(url_post, data, format='json').status_code, status.HTTP_400_BAD_REQUEST ) self.assertEqual( client.put(url_update, data, format='json').status_code, status.HTTP_400_BAD_REQUEST ) self.assertEqual( client.patch(url_update, data, format='json').status_code, status.HTTP_400_BAD_REQUEST ) self.assertEqual(ds.record_queryset.count(), count) class TestSiteExtraction(helpers.BaseUserTestCase): def setUp(self): super(TestSiteExtraction, self).setUp() self.site_1 = factories.SiteFactory.create( project=self.project_1, code='COTT', geometry="SRID=4326;" "LINESTRING (124.18701171875 -17.6484375, 126.38427734375 -18.615234375, 123.35205078125 " "-20.65869140625, 124.1650390625 -17.71435546875)",) self.ds_1 = self._create_dataset_with_schema( self.project_1, self.data_engineer_1_client, self.observation_schema_with_with_all_possible_geometry_fields(), dataset_type=Dataset.TYPE_OBSERVATION ) # set the date self.record_1 = self._create_record( self.custodian_1_client, self.ds_1, { 'What': 'Chubby bat', 'When': '2018-06-30', 'Site Code': 'COTT', } ) self.assertIsNotNone(self.record_1) def test_create_with_site(self): """ The descriptor contains a foreign key to the site. Test that the site is extracted from the data :return: """ # clear all records ds = self.ds_1 ds.record_queryset.delete() self.assertEqual(ds.record_queryset.count(), 0) record = self.record_1 data = { "dataset": record.dataset.pk, "data": record.data } schema = ds.schema self.assertTrue(schema.has_fk_for_model('Site')) expected_site = record.site url = reverse('api:record-list') client = self.custodian_1_client self.assertEqual( client.post(url, data, format='json').status_code, status.HTTP_201_CREATED ) self.assertEqual(ds.record_queryset.count(), 1) self.assertEqual(ds.record_queryset.first().site, expected_site) def test_update_site(self): ds = self.ds_1 record = self.record_1 site = factories.SiteFactory.create(code='NEW-SITE', project=self.project_1, geometry=Point(117, 33)) # need to test if the site belongs to the dataset project or the update won't happen self.assertIsNotNone(site) self.assertEqual(site.project, record.dataset.project) self.assertNotEqual(record.site, site) # update site value schema = record.dataset.schema site_column = schema.get_fk_for_model('Site').data_field self.assertIsNotNone(site_column) r_data = record.data r_data[site_column] = site.code data = { "data": r_data } url = reverse('api:record-detail', kwargs={"pk": record.pk}) client = self.custodian_1_client resp = client.patch(url, data, format='json') self.assertEqual(resp.status_code, status.HTTP_200_OK) record.refresh_from_db() self.assertEqual(record.site, site) class TestDateTimeAndGeometryExtraction(helpers.BaseUserTestCase): @staticmethod def schema_with_lat_long_and_date(): schema_fields = [ { "name": "What", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, { "name": "When", "type": "date", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS, "format": "any", "biosys": { 'type': 'observationDate' } }, { "name": "Latitude", "type": "number", "biosys": { "type": "latitude" }, "constraints": { "required": True, "minimum": -90.0, "maximum": 90.0, } }, { "name": "Longitude", "type": "number", "biosys": { "type": "longitude" }, "constraints": { "required": True, "minimum": -180.0, "maximum": 180.0, } }, ] schema = helpers.create_schema_from_fields(schema_fields) return schema @staticmethod def schema_with_no_date(): schema_fields = [ { "name": "What", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, { "name": "Latitude", "type": "number", "biosys": { "type": "latitude" }, "constraints": { "required": True, "minimum": -90.0, "maximum": 90.0, } }, { "name": "Longitude", "type": "number", "biosys": { "type": "longitude" }, "constraints": { "required": True, "minimum": -180.0, "maximum": 180.0, } }, ] schema = helpers.create_schema_from_fields(schema_fields) return schema def test_create(self): """ Test that the date and geometry are extracted from the data and saved in DB :return: """ project = self.project_1 client = self.custodian_1_client schema = self.schema_with_lat_long_and_date() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION) self.assertEqual(dataset.record_queryset.count(), 0) record_data = { 'What': 'A test', 'When': '01/06/2017', 'Latitude': -32.0, 'Longitude': 116.0 } payload = { "dataset": dataset.pk, "data": record_data } expected_date = datetime.date(2017, 6, 1) url = reverse('api:record-list') self.assertEqual( client.post(url, payload, format='json').status_code, status.HTTP_201_CREATED ) self.assertEqual(dataset.record_queryset.count(), 1) record = dataset.record_queryset.first() self.assertEqual(timezone.localtime(record.datetime).date(), expected_date) geometry = record.geometry self.assertIsInstance(geometry, Point) self.assertEqual(geometry.x, 116.0) self.assertEqual(geometry.y, -32.0) def test_update(self): """ Test that the date and geometry are extracted from the data and saved in DB :return: """ project = self.project_1 client = self.custodian_1_client schema = self.schema_with_lat_long_and_date() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) self.assertEqual(dataset.record_queryset.count(), 0) record_data = { 'What': 'A test', 'When': '01/06/2017', 'Latitude': -32.0, 'Longitude': 116.0 } payload = { "dataset": dataset.pk, "data": record_data } url = reverse('api:record-list') self.assertEqual( client.post(url, payload, format='json').status_code, status.HTTP_201_CREATED ) record = dataset.record_queryset.first() # change date new_date = '20/4/2016' # change lat/lon new_long = 111.111 new_lat = 22.222 record_data = { 'When': new_date, 'Latitude': new_lat, 'Longitude': new_long } payload = { "dataset": dataset.pk, "data": record_data } url = reverse('api:record-detail', kwargs={"pk": record.pk}) self.assertEqual( client.patch(url, data=payload, format='json').status_code, status.HTTP_200_OK ) self.assertEqual(dataset.record_queryset.count(), 1) record.refresh_from_db() expected_date = datetime.date(2016, 4, 20) self.assertEqual(timezone.localtime(record.datetime).date(), expected_date) geometry = record.geometry self.assertIsInstance(geometry, Point) self.assertEqual(geometry.x, new_long) self.assertEqual(geometry.y, new_lat) def test_create_without_date(self): """ As of 29/06/2017. Date are not mandatory to create a Observation record """ project = self.project_1 client = self.custodian_1_client schema = self.schema_with_no_date() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION) self.assertEqual(dataset.record_queryset.count(), 0) record_data = { 'What': 'A test', 'Latitude': -32.0, 'Longitude': 116.0 } payload = { "dataset": dataset.pk, "data": record_data } url = reverse('api:record-list') self.assertEqual( client.post(url, payload, format='json').status_code, status.HTTP_201_CREATED ) self.assertEqual(dataset.record_queryset.count(), 1) record = dataset.record_queryset.first() self.assertIsNone(record.datetime) geometry = record.geometry self.assertIsInstance(geometry, Point) self.assertEqual(geometry.x, 116.0) self.assertEqual(geometry.y, -32.0) def test_update_without_date(self): """ As of 29/06/2017. Date are not mandatory to create a Observation record """ project = self.project_1 client = self.custodian_1_client schema = self.schema_with_no_date() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) self.assertEqual(dataset.record_queryset.count(), 0) record_data = { 'What': 'A test', 'Latitude': -32.0, 'Longitude': 116.0 } payload = { "dataset": dataset.pk, "data": record_data } url = reverse('api:record-list') self.assertEqual( client.post(url, payload, format='json').status_code, status.HTTP_201_CREATED ) record = dataset.record_queryset.first() new_long = 111.111 new_lat = 22.222 record_data = { 'Latitude': new_lat, 'Longitude': new_long } payload = { "dataset": dataset.pk, "data": record_data } url = reverse('api:record-detail', kwargs={"pk": record.pk}) self.assertEqual( client.patch(url, data=payload, format='json').status_code, status.HTTP_200_OK ) self.assertEqual(dataset.record_queryset.count(), 1) record.refresh_from_db() self.assertIsNone(record.datetime) geometry = record.geometry self.assertIsInstance(geometry, Point) self.assertEqual(geometry.x, new_long) self.assertEqual(geometry.y, new_lat) class TestEastingNorthing(helpers.BaseUserTestCase): """ Use case: the schema contains a datum and a zone field and easting/northing. """ @staticmethod def schema_with_easting_northing(): schema_fields = [ { "name": "What", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, { "name": "When", "type": "date", "constraints": helpers.REQUIRED_CONSTRAINTS, "format": "any", "biosys": { 'type': 'observationDate' } }, { "name": "Northing", "type": "number", "constraints": helpers.REQUIRED_CONSTRAINTS, "biosys": { "type": "northing" } }, { "name": "Easting", "type": "number", "constraints": helpers.REQUIRED_CONSTRAINTS, "biosys": { "type": "easting" } }, { "name": "Datum", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, { "name": "Zone", "type": "integer", "constraints": helpers.REQUIRED_CONSTRAINTS } ] return helpers.create_schema_from_fields(schema_fields) def test_create_happy_path(self): project = self.project_1 client = self.custodian_1_client schema = self.schema_with_easting_northing() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) self.assertIsNotNone(dataset.schema.datum_field) self.assertIsNotNone(dataset.schema.zone_field) easting = 405542.537 northing = 6459127.469 datum = 'GDA94' zone = 50 record_data = { 'What': 'Chubby Bat', 'When': '12/12/2017', 'Easting': easting, 'Northing': northing, 'Datum': datum, 'Zone': zone } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) qs = dataset.record_queryset self.assertEqual(qs.count(), 1) record = qs.first() geom = record.geometry # should be in WGS84 -> srid = 4326 self.assertEqual(geom.srid, 4326) # convert it back to GAD / zone 50 -> srid = 28350 geom.transform(28350) # compare with 2 decimal place precision self.assertAlmostEqual(geom.x, easting, places=2) self.assertAlmostEqual(geom.y, northing, places=2) def test_update_happy_path(self): project = self.project_1 client = self.custodian_1_client schema = self.schema_with_easting_northing() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) self.assertIsNotNone(dataset.schema.datum_field) self.assertIsNotNone(dataset.schema.zone_field) # first create record with wrong zone easting = 405542.537 northing = 6459127.469 datum = 'GDA94' zone = 58 record_data = { 'What': 'Chubby Bat', 'When': '12/12/2017', 'Easting': easting, 'Northing': northing, 'Datum': datum, 'Zone': zone } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) qs = dataset.record_queryset self.assertEqual(qs.count(), 1) record = qs.first() geom = record.geometry # should be in WGS84 -> srid = 4326 self.assertEqual(geom.srid, 4326) # convert it back to GAD / zone 50 -> srid = 28350 geom.transform(28350) # compare with 2 decimal place precision. Should be different that of expected self.assertNotAlmostEqual(geom.x, easting, places=2) self.assertNotAlmostEqual(geom.y, northing, places=2) # send path to update the zone record_data = { 'What': 'Chubby Bat', 'When': '12/12/2017', 'Easting': easting, 'Northing': northing, 'Datum': datum, 'Zone': 50 } payload = { 'data': record_data } url = reverse('api:record-detail', kwargs={'pk': record.pk}) resp = client.patch(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_200_OK) record.refresh_from_db() geom = record.geometry # should be in WGS84 -> srid = 4326 self.assertEqual(geom.srid, 4326) # convert it back to GAD / zone 50 -> srid = 28350 geom.transform(28350) self.assertAlmostEqual(geom.x, easting, places=2) self.assertAlmostEqual(geom.y, northing, places=2) def test_default_datum(self): """ If only easting and northing are provided the project's datum/zone should be used """ project = self.project_1 srid = constants.get_datum_srid('GDA94 / MGA zone 50') self.assertEqual(srid, 28350) project.datum = srid project.save() client = self.custodian_1_client # schema with datum and zone not required schema_fields = [ { "name": "What", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, { "name": "When", "type": "date", "constraints": helpers.REQUIRED_CONSTRAINTS, "format": "any", "biosys": { 'type': 'observationDate' } }, { "name": "Northing", "type": "number", "constraints": helpers.REQUIRED_CONSTRAINTS, "biosys": { "type": "northing" } }, { "name": "Easting", "type": "number", "constraints": helpers.REQUIRED_CONSTRAINTS, "biosys": { "type": "easting" } }, { "name": "Datum", "type": "string", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS }, { "name": "Zone", "type": "integer", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS } ] schema = helpers.create_schema_from_fields(schema_fields) dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) self.assertIsNotNone(dataset.schema.datum_field) self.assertIsNotNone(dataset.schema.zone_field) easting = 405542.537 northing = 6459127.469 record_data = { 'What': 'Chubby Bat', 'When': '12/12/2017', 'Easting': easting, 'Northing': northing, } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') + '?strict=true' resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) qs = dataset.record_queryset self.assertEqual(qs.count(), 1) record = qs.first() geom = record.geometry # should be in WGS84 -> srid = 4326 self.assertEqual(geom.srid, 4326) self.assertIsInstance(geom, Point) self.assertAlmostEqual(geom.x, 116, places=2) self.assertAlmostEqual(geom.y, -32, places=2) # convert it back to GAD / zone 50 -> srid = 28350 geom.transform(srid) # compare with 2 decimal place precision self.assertAlmostEqual(geom.x, easting, places=2) self.assertAlmostEqual(geom.y, northing, places=2) class TestGeometryFromSite(helpers.BaseUserTestCase): """ Use case: the observation dataset doesn't contain any geometry columns/fields but a reference (foreign key) to the site code. In this case the when yhe user uploads observations with a site reference only the observation geometry should be copied (not referenced) from the site geometry. """ @staticmethod def schema_with_site_code_fk(): schema_fields = [ { "name": "What", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, { "name": "When", "type": "date", "constraints": helpers.REQUIRED_CONSTRAINTS, "format": "any", "biosys": { 'type': 'observationDate' } }, { "name": "Site Code", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, ] schema = helpers.create_schema_from_fields(schema_fields) schema = helpers.add_model_field_foreign_key_to_schema(schema, { 'schema_field': 'Site Code', 'model': 'Site', 'model_field': 'code' }) return schema @staticmethod def schema_with_latlong_and_site_code_fk(): schema_fields = [ { "name": "What", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, { "name": "When", "type": "date", "constraints": helpers.REQUIRED_CONSTRAINTS, "format": "any", "biosys": { 'type': 'observationDate' } }, { "name": "Latitude", "type": "number", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS, "biosys": { "type": 'latitude' } }, { "name": "Longitude", "type": "number", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS, "biosys": { "type": 'longitude' } }, { "name": "Site Code", "type": "string", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS }, ] schema = helpers.create_schema_from_fields(schema_fields) schema = helpers.add_model_field_foreign_key_to_schema(schema, { 'schema_field': 'Site Code', 'model': 'Site', 'model_field': 'code' }) return schema def test_observation_schema_valid_with_site_foreign_key(self): """ An observation schema should be valid without geometry fields as long it has a foreign key to site. """ schema_fields = [ { "name": "What", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, { "name": "When", "type": "date", "constraints": helpers.REQUIRED_CONSTRAINTS, "biosys": { 'type': 'observationDate' } }, { "name": "Site Code", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, ] schema = helpers.create_schema_from_fields(schema_fields) schema = helpers.add_model_field_foreign_key_to_schema(schema, { 'schema_field': 'Site Code', 'model': 'Site', 'model_field': 'code' }) data_package = helpers.create_data_package_from_schema(schema) # create data set url = reverse('api:dataset-list') project = self.project_1 client = self.data_engineer_1_client dataset_name = "Observation with site foreign key and no geometry" payload = { "name": dataset_name, "type": Dataset.TYPE_OBSERVATION, "project": project.pk, 'data_package': data_package } resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) # double check self.assertIsNotNone(Dataset.objects.filter(project=project, name=dataset_name).first()) def test_observation_schema_not_valid_with_other_foreign_key(self): """ only a foreign key to the site code is accepted. """ schema_fields = [ { "name": "What", "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, { "name": "When", "type": "date", "constraints": helpers.REQUIRED_CONSTRAINTS, "biosys": { 'type': 'observationDate' } }, { "name": "Project", # project not site "type": "string", "constraints": helpers.REQUIRED_CONSTRAINTS }, ] schema = helpers.create_schema_from_fields(schema_fields) schema = helpers.add_model_field_foreign_key_to_schema(schema, { 'schema_field': 'Project', # project not site 'model': 'Project', 'model_field': 'title' }) data_package = helpers.create_data_package_from_schema(schema) # create data set url = reverse('api:dataset-list') project = self.project_1 client = self.data_engineer_1_client dataset_name = "Observation with project foreign key and no geometry" payload = { "name": dataset_name, "type": Dataset.TYPE_OBSERVATION, "project": project.pk, 'data_package': data_package } resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_400_BAD_REQUEST) def test_geometry_extracted_create(self): """ Test that the record geometry is properly copied from the site when posting through api """ project = self.project_1 client = self.custodian_1_client schema = self.schema_with_site_code_fk() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) site_code = 'Cottesloe' site_geometry = Point(115.76, -32.0) # create the site site = factories.SiteFactory(code=site_code, geometry=site_geometry, project=project) record_data = { 'What': 'Hello! This is a test.', 'When': '12/12/2017', 'Site Code': site_code } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) record = Record.objects.filter(id=resp.json().get('id')).first() self.assertIsNotNone(record) self.assertEqual(record.site, site) self.assertEqual(record.geometry, site_geometry) def test_geometry_extracted_update(self): """ Test that the record geometry is properly copied from the site when updating/patching """ # create the record project = self.project_1 client = self.custodian_1_client schema = self.schema_with_site_code_fk() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) site_code = 'Cottesloe' site_geometry = Point(115.76, -32.0) # create the site factories.SiteFactory(code=site_code, geometry=site_geometry, project=project) record_data = { 'What': 'Hello! This is a test.', 'When': '12/12/2017', 'Site Code': site_code } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) record = Record.objects.filter(id=resp.json().get('id')).first() self.assertIsNotNone(record) self.assertEqual(record.geometry, site_geometry) # update record with new site site_code = 'Somewhere' site_geometry = Point(116.0, -30.0) # create the site factories.SiteFactory(code=site_code, geometry=site_geometry, project=project) record_data = { 'What': 'Yellow!', 'When': '01/01/2017', 'Site Code': site_code } payload = { 'data': record_data } url = reverse('api:record-detail', kwargs={'pk': record.pk}) resp = client.patch(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_200_OK) record.refresh_from_db() self.assertIsNotNone(record) self.assertEqual(timezone.make_naive(record.datetime), datetime.datetime(2017, 1, 1, 0, 0)) self.assertEqual(record.geometry, site_geometry) def test_record_rejected_if_site_has_no_geometry_api(self): """ When using api If the referenced site has no geometry the record should be rejected """ project = self.project_1 client = self.custodian_1_client schema = self.schema_with_site_code_fk() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) site_code = 'Cottesloe' # create the site site = factories.SiteFactory(code=site_code, geometry=None, project=project) self.assertIsNone(site.geometry) record_data = { 'What': 'Hello! This is a test.', 'When': '12/12/2017', 'Site Code': site_code } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_400_BAD_REQUEST) # check error errors = resp.json().get('data') # errors is of string of format 'field_name::message' self.assertIsNotNone(errors) self.assertTrue(isinstance(errors, list)) self.assertEqual(len(errors), 1) field_name, message = errors[0].split('::') self.assertEqual(field_name, 'Site Code') # message should be something like: expected_message = 'The site Cottesloe has no geometry' self.assertEqual(message, expected_message) def test_schema_with_lat_long_and_site_fk(self): """ Use case: The schema contains a classic lat/lon fields and a site_code foreign key. Test that: 1 - the lat/long provided takes precedence over the site geometry 2 - if lat/long not provided the site geometry is used """ project = self.project_1 client = self.custodian_1_client schema = self.schema_with_latlong_and_site_code_fk() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) self.assertIsNotNone(dataset.schema.latitude_field) self.assertIsNotNone(dataset.schema.longitude_field) site_code = 'Cottesloe' site_geometry = Point(115.76, -32.0) # create the site site = factories.SiteFactory(code=site_code, geometry=site_geometry, project=project) # the observation geometry different than the site geometry observation_geometry = Point(site_geometry.x + 2, site_geometry.y + 2) self.assertNotEqual(site.geometry, observation_geometry) # lat/long + site record_data = { 'What': 'Hello! This is a test.', 'When': '12/12/2017', 'Longitude': observation_geometry.x, 'Latitude': observation_geometry.y, 'Site Code': site_code } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) record = Record.objects.filter(id=resp.json().get('id')).first() self.assertIsNotNone(record) self.assertEqual(record.site, site) self.assertEqual(record.geometry.geojson, observation_geometry.geojson) # lat/long no site record_data = { 'What': 'Hello! This is a test.', 'When': '12/12/2017', 'Longitude': observation_geometry.x, 'Latitude': observation_geometry.y, 'Site Code': None } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) record = Record.objects.filter(id=resp.json().get('id')).first() self.assertIsNotNone(record) self.assertIsNone(record.site) self.assertEqual(record.geometry.geojson, observation_geometry.geojson) # site without lat/long record_data = { 'What': 'Hello! This is a test.', 'When': '12/12/2017', 'Longitude': None, 'Latitude': None, 'Site Code': site_code } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) record = Record.objects.filter(id=resp.json().get('id')).first() self.assertIsNotNone(record) self.assertEqual(record.site, site) self.assertEqual(record.geometry.geojson, site_geometry.geojson) # no lat/long no site -> error record_data = { 'What': 'Hello! This is a test.', 'When': '12/12/2017', 'Longitude': None, 'Latitude': None, 'Site Code': None } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_400_BAD_REQUEST) def test_geometry_extracted_upload(self): """ Test that the record geometry is properly copied from the site when using an xlsx upload """ project = self.project_1 client = self.custodian_1_client schema = self.schema_with_site_code_fk() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) # create two sites site_1_code = 'Cottesloe' site_1_geometry = Point(115.76, -32.0) site_1 = factories.SiteFactory(code=site_1_code, geometry=site_1_geometry, project=project) site_2_code = 'Somewhere' site_2_geometry = Point(116.0, -30.0) # create the site site_2 = factories.SiteFactory(code=site_2_code, geometry=site_2_geometry, project=project) # data csv_data = [ ['What', 'When', 'Site Code'], ['what_1', '01/01/2017', site_1_code], ['what_2', '02/02/2017', site_2_code] ] file_ = helpers.rows_to_xlsx_file(csv_data) self.assertEqual(0, Record.objects.filter(dataset=dataset).count()) url = reverse('api:dataset-upload', kwargs={'pk': dataset.pk}) with open(file_, 'rb') as fp: payload = { 'file': fp } resp = client.post(url, data=payload, format='multipart') self.assertEqual(status.HTTP_200_OK, resp.status_code) records = Record.objects.filter(dataset=dataset) self.assertEqual(records.count(), len(csv_data) - 1) r = [r for r in records if r.data['What'] == 'what_1'][0] self.assertEqual(r.site, site_1) self.assertEqual(r.geometry, site_1_geometry) r = [r for r in records if r.data['What'] == 'what_2'][0] self.assertEqual(r.site, site_2) self.assertEqual(r.geometry, site_2_geometry) def test_record_rejected_if_site_has_no_geometry_upload(self): """ When uploading with Excel If the referenced site has no geometry the record should be rejected """ # same as above but site_2 has no geometry project = self.project_1 client = self.custodian_1_client schema = self.schema_with_site_code_fk() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) # create two sites the number 2 without a geometry site_1_code = 'Cottesloe' site_1_geometry = Point(115.76, -32.0) site_1 = factories.SiteFactory(code=site_1_code, geometry=site_1_geometry, project=project) site_2_code = 'Somewhere' site_2_geometry = None factories.SiteFactory(code=site_2_code, geometry=site_2_geometry, project=project) csv_data = [ ['What', 'When', 'Site Code'], ['what_1', '01/01/2017', site_1_code], ['what_2', '02/02/2017', site_2_code] ] file_ = helpers.rows_to_xlsx_file(csv_data) self.assertEqual(0, Record.objects.filter(dataset=dataset).count()) url = reverse('api:dataset-upload', kwargs={'pk': dataset.pk}) with open(file_, 'rb') as fp: payload = { 'file': fp } resp = client.post(url, data=payload, format='multipart') self.assertEqual(resp.status_code, status.HTTP_400_BAD_REQUEST) # Check that the good record is there. records = Record.objects.filter(dataset=dataset) self.assertEqual(records.count(), 1) r = records.first() self.assertEqual(r.site, site_1) self.assertEqual(r.geometry, site_1_geometry) def test_site_geometry_updated(self): """ Use case: observations has been created with a site geometry, user update the site location. user expect that the associated observations have their geometry updated. This can only if the observations has the site as a FK (of course) and exactly the same geometry. """ project = self.project_1 client = self.custodian_1_client schema = self.schema_with_site_code_fk() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) # create two sites site_1_code = 'Cottesloe' site_1_geometry = Point(115.76, -32.0) site_1 = factories.SiteFactory(code=site_1_code, geometry=site_1_geometry, project=project) site_2_code = 'Somewhere' site_2_geometry = Point(116.0, -30.0) # create the site site_2 = factories.SiteFactory(code=site_2_code, geometry=site_2_geometry, project=project) # data csv_data = [ ['What', 'When', 'Site Code'], ['what_1', '01/01/2017', site_1_code], ['what_2', '02/02/2017', site_2_code] ] file_ = helpers.rows_to_xlsx_file(csv_data) self.assertEqual(0, Record.objects.filter(dataset=dataset).count()) url = reverse('api:dataset-upload', kwargs={'pk': dataset.pk}) with open(file_, 'rb') as fp: payload = { 'file': fp } resp = client.post(url, data=payload, format='multipart') self.assertEqual(status.HTTP_200_OK, resp.status_code) records = Record.objects.filter(dataset=dataset) self.assertEqual(records.count(), len(csv_data) - 1) record_1 = [r for r in records if r.data['What'] == 'what_1'][0] self.assertEqual(record_1.site, site_1) self.assertEqual(record_1.geometry, site_1_geometry) record_2 = [r for r in records if r.data['What'] == 'what_2'][0] self.assertEqual(record_2.site, site_2) self.assertEqual(record_2.geometry, site_2_geometry) # Change the site_1 geometry and expect the record_1 to have its geometry updated previous_geometry = site_1_geometry new_geometry = Point(previous_geometry.x + 2, previous_geometry.y + 2) self.assertNotEqual(previous_geometry, new_geometry) url = reverse('api:site-detail', kwargs={'pk': site_1.pk}) payload = { "geometry": new_geometry.wkt } resp = client.patch(url, data=payload, format='json') self.assertEqual(resp.status_code, 200) # check that the record has been updated record_1.refresh_from_db() self.assertEqual(record_1.geometry.geojson, new_geometry.geojson) # site_2 record should be untouched record_2.refresh_from_db() self.assertEqual(record_2.geometry.geojson, site_2_geometry.geojson) # Use case: the record geometry should be updated ONLY if it matches exactly the site geometry # new geometry for record_1 new_site_geometry = Point(179, -30) self.assertNotEqual(new_site_geometry, site_1.geometry) new_record_geometry = Point(180, -35) self.assertNotEqual(new_record_geometry, new_site_geometry) record_1.geometry = new_record_geometry record_1.save() self.assertNotEqual(record_1.geometry.geojson, record_1.site.geometry.geojson) site = record_1.site site.geometry = new_site_geometry site.save() # check record not changed record_1.refresh_from_db() self.assertEqual(record_1.geometry, new_record_geometry) self.assertNotEqual(record_1.geometry.geojson, record_1.site.geometry.geojson) class TestMultipleGeometrySource(helpers.BaseUserTestCase): def test_geometry_easting_northing_precedence(self): """ If all fields are provided easting and northing have precedence over lat/long and site code. """ project = self.project_1 client = self.custodian_1_client schema = self.observation_schema_with_with_all_possible_geometry_fields() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) self.assertIsNotNone(dataset.schema.datum_field) self.assertIsNotNone(dataset.schema.zone_field) # site geometry site_code = 'Cottesloe' site_geometry = Point(115.76, -32.0) # create the site site = factories.SiteFactory(code=site_code, geometry=site_geometry, project=project) # easting/northing: nearly (116.0, -32.0) easting = 405542.537 northing = 6459127.469 east_north_datum = 'GDA94' zone = 50 east_north_srid = 28350 # lat/long longitude = 117.0 latitude = -33.0 lat_long_datum = 'WGS84' lat_long_srid = 4326 record_data = { 'What': 'A record with all geometry fields populated', 'When': '12/12/2017', 'Site Code': site_code, 'Easting': easting, 'Northing': northing, 'Datum': east_north_datum, 'Zone': zone, 'Latitude': latitude, 'Longitude': longitude } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) record = Record.objects.filter(id=resp.json().get('id')).first() self.assertIsNotNone(record) geometry = record.geometry self.assertIsNotNone(geometry) self.assertIsInstance(geometry, Point) # it should be the easting/northing geometry geometry.transform(east_north_srid) self.assertAlmostEqual(geometry.x, easting, places=2) self.assertAlmostEqual(geometry.y, northing, places=2) def test_geometry_lat_long_precedence(self): """ Lat/long takes precedence over site code """ project = self.project_1 client = self.custodian_1_client schema = self.observation_schema_with_with_all_possible_geometry_fields() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) self.assertIsNotNone(dataset.schema.datum_field) self.assertIsNotNone(dataset.schema.zone_field) # site geometry site_code = 'Cottesloe' site_geometry = Point(115.76, -32.0) # create the site site = factories.SiteFactory(code=site_code, geometry=site_geometry, project=project) # lat/long longitude = 117.0 latitude = -33.0 lat_long_datum = 'WGS84' lat_long_srid = 4326 record_data = { 'What': 'A record with all geometry fields populated', 'When': '12/12/2017', 'Site Code': site_code, 'Easting': None, 'Northing': None, 'Datum': lat_long_datum, 'Zone': None, 'Latitude': latitude, 'Longitude': longitude } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) record = Record.objects.filter(id=resp.json().get('id')).first() self.assertIsNotNone(record) geometry = record.geometry self.assertIsNotNone(geometry) self.assertIsInstance(geometry, Point) # it should be the lat/long geometry geometry.transform(lat_long_srid) self.assertAlmostEqual(geometry.x, longitude, places=4) self.assertAlmostEqual(geometry.y, latitude, places=4) # and not the site self.assertNotAlmostEqual(geometry.x, site_geometry.x, places=4) self.assertNotAlmostEqual(geometry.y, site_geometry.y, places=4) def test_easting_northing_and_site(self): """ Easting/Northing > site_code """ project = self.project_1 client = self.custodian_1_client schema = self.observation_schema_with_with_all_possible_geometry_fields() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) self.assertIsNotNone(dataset.schema.datum_field) self.assertIsNotNone(dataset.schema.zone_field) # site geometry site_code = 'Cottesloe' site_geometry = Point(115.76, -32.0) # create the site site = factories.SiteFactory(code=site_code, geometry=site_geometry, project=project) # easting/northing: nearly (116.0, -32.0) easting = 405542.537 northing = 6459127.469 east_north_datum = 'GDA94' zone = 50 east_north_srid = 28350 record_data = { 'What': 'A record with all geometry fields populated', 'When': '12/12/2017', 'Site Code': site_code, 'Easting': easting, 'Northing': northing, 'Datum': east_north_datum, 'Zone': zone, 'Latitude': None, 'Longitude': None } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) record = Record.objects.filter(id=resp.json().get('id')).first() self.assertIsNotNone(record) geometry = record.geometry self.assertIsNotNone(geometry) self.assertIsInstance(geometry, Point) # it should be the easting/northing geometry geometry.transform(east_north_srid) self.assertAlmostEqual(geometry.x, easting, places=2) self.assertAlmostEqual(geometry.y, northing, places=2) def test_site_only(self): project = self.project_1 client = self.custodian_1_client schema = self.observation_schema_with_with_all_possible_geometry_fields() dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) self.assertIsNotNone(dataset.schema.datum_field) self.assertIsNotNone(dataset.schema.zone_field) # site geometry site_code = 'Cottesloe' site_geometry = Point(115.76, -32.0) # create the site site = factories.SiteFactory(code=site_code, geometry=site_geometry, project=project) record_data = { 'What': 'A record with all geometry fields populated', 'When': '12/12/2017', 'Site Code': site_code, 'Easting': None, 'Northing': None, 'Datum': None, 'Zone': None, 'Latitude': None, 'Longitude': None } payload = { 'dataset': dataset.pk, 'data': record_data } url = reverse('api:record-list') resp = client.post(url, data=payload, format='json') self.assertEqual(resp.status_code, status.HTTP_201_CREATED) record = Record.objects.filter(id=resp.json().get('id')).first() self.assertIsNotNone(record) geometry = record.geometry self.assertIsNotNone(geometry) self.assertIsInstance(geometry, Point) # it should be the easting/northing geometry self.assertAlmostEqual(geometry.x, site_geometry.x, places=4) self.assertAlmostEqual(geometry.y, site_geometry.y, places=4) class TestGeometryConversion(helpers.BaseUserTestCase): def test_lat_long_with_projected_project_datum(self): """ see: https://youtrack.gaiaresources.com.au/youtrack/issue/BIOSYS-152 Use case: - Project datum set to be a projected one, e.g GDA/Zone 56. - Schema has a latitude, longitude, datum, zone, easting and northing field (the whole shebang) - Post a record with lat=-32.0 long=115.75 and Datum=WGS84 Success if record.geometry is Point(115.75, -32.0) """ # Create project with projected datum program = factories.ProgramFactory.create() program.data_engineers.add(self.data_engineer_1_user) datum_srid = constants.get_datum_srid('GDA94 / MGA zone 56') project = factories.ProjectFactory.create( program=program, datum=datum_srid ) self.assertTrue(constants.is_projected_srid(project.datum)) project.custodians.add(self.custodian_1_user) self.assertTrue(project.is_custodian(self.custodian_1_user)) # Dataset and records in lat/long schema = self.observation_schema_with_with_all_possible_geometry_fields() client = self.custodian_1_client dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, schema, dataset_type=Dataset.TYPE_OBSERVATION ) # post record record_data = { 'When': "2018-05-25", 'Datum': 'WGS84', 'Latitude': -32.0, 'Longitude': 115.75 } record = self._create_record( client, dataset, record_data ) self.assertIsNotNone(record) self.assertIsNotNone(record.geometry) self.assertEqual(record.geometry.x, 115.75) self.assertEqual(record.geometry.y, -32.0) # try with the upload end-point dataset.record_set.all().delete() rows = [ ['When', 'Datum', 'Latitude', 'Longitude'], ['2018-05-25', 'WGS84', -32.0, 115.75] ] response = self._upload_records_from_rows( rows, dataset.pk, strict=True ) self.assertEqual(response.status_code, status.HTTP_200_OK) record = dataset.record_set.last() self.assertIsNotNone(record) self.assertIsNotNone(record.geometry) self.assertEqual(record.geometry.x, 115.75) self.assertEqual(record.geometry.y, -32.0) class TestSerialization(helpers.BaseUserTestCase): def test_date_serialization_uses_project_timezone(self): # TODO: implement this pass class TestExport(helpers.BaseUserTestCase): def setUp(self): super(TestExport, self).setUp() rows = [ ['When', 'Species', 'How Many', 'Latitude', 'Longitude', 'Comments'], ['2018-02-07', 'Canis lupus', 1, -32.0, 115.75, ''], ['2018-01-12', 'Chubby bat', 10, -32.0, 115.75, 'Awesome'], ['2018-02-02', 'Canis dingo', 2, -32.0, 115.75, 'Watch out kids'], ['2018-02-10', 'Unknown', 3, -32.0, 115.75, 'Canis?'], ] self.ds_1 = self._create_dataset_and_records_from_rows(rows) self.assertEqual(self.ds_1.type, Dataset.TYPE_OBSERVATION) def test_happy_path_no_filter(self): client = self.custodian_1_client dataset = self.ds_1 all_records = Record.objects.filter(dataset=dataset) self.assertTrue(all_records.count() > 0) url = reverse('api:record-list') query = { 'dataset__id': dataset.pk, 'output': 'xlsx' } try: resp = client.get(url, query) except Exception as e: self.fail("Export should not raise an exception: {}".format(e)) self.assertEqual(resp.status_code, status.HTTP_200_OK) # check headers self.assertEqual(resp.get('content-type'), 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet') content_disposition = resp.get('content-disposition') # should be something like: # 'attachment; filename=DatasetName_YYYY_MM_DD-HHMMSS.xlsx match = re.match('attachment; filename=(.+)', content_disposition) self.assertIsNotNone(match) filename, ext = path.splitext(match.group(1)) self.assertEqual(ext, '.xlsx') filename.startswith(dataset.name) # read content wb = load_workbook(io.BytesIO(resp.content), read_only=True) # one datasheet named from dataset sheet_names = wb.sheetnames self.assertEqual(1, len(sheet_names)) self.assertEqual(dataset.name, sheet_names[0]) ws = wb[dataset.name] rows = list(ws.rows) expected_records = Record.objects.filter(dataset=dataset) self.assertEqual(len(rows), expected_records.count() + 1) headers = [c.value for c in rows[0]] schema = dataset.schema # all the columns of the schema should be in the excel self.assertEqual(schema.headers, headers) def test_permission_ok_for_not_custodian(self): """ Export is a read action. Should be authorised for every logged-in user. """ client = self.custodian_2_client dataset = self.ds_1 url = reverse('api:record-list') query = { 'dataset__id': dataset.pk, 'output': 'xlsx' } try: resp = client.get(url, query) except Exception as e: self.fail("Export should not raise an exception: {}".format(e)) self.assertEqual(resp.status_code, status.HTTP_200_OK) def test_permission_denied_if_not_logged_in(self): """Must be logged-in.""" client = self.anonymous_client dataset = self.ds_1 url = reverse('api:record-list') query = { 'dataset__id': dataset.pk, 'output': 'xlsx' } try: resp = client.get(url, query) except Exception as e: self.fail("Export should not raise an exception: {}".format(e)) self.assertEqual(resp.status_code, status.HTTP_401_UNAUTHORIZED) class TestDateNotMandatory(helpers.BaseUserTestCase): date_easting_northing_site_nothing_required_schema = [ { "name": "What", "type": "string", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS }, { "name": "When", "type": "date", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS, "format": "any", "biosys": { 'type': 'observationDate' } }, { "name": 'Site', "type": "string", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS, "biosys": { 'type': 'siteCode' } }, { "name": "Northing", "type": "number", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS, "biosys": { "type": "northing" } }, { "name": "Easting", "type": "number", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS, "biosys": { "type": "easting" } }, { "name": "Datum", "type": "string", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS }, { "name": "Zone", "type": "integer", "constraints": helpers.NOT_REQUIRED_CONSTRAINTS } ] def test_record_without_date(self): project = self.project_1 client = self.custodian_1_client dataset = self._create_dataset_with_schema( project, self.data_engineer_1_client, self.date_easting_northing_site_nothing_required_schema, Dataset.TYPE_OBSERVATION ) # easting/northing: nearly (116.0, -32.0) easting = 405542.537 northing = 6459127.469 datum = 'GDA94' zone = 50 east_north_srid = 28350 record_data = { 'What': 'Whaaat?', 'Easting': easting, 'Northing': northing, 'Datum': datum, 'Zone': zone } record = self._create_record(client, dataset, record_data) self.assertIsNone(record.datetime) geometry = record.geometry self.assertIsNotNone(geometry) self.assertIsInstance(geometry, Point) geometry.transform(east_north_srid) self.assertAlmostEqual(geometry.x, easting, places=2) self.assertAlmostEqual(geometry.y, northing, places=2) class TestPatch(helpers.BaseUserTestCase): def test_patch_validated(self): """ Test that we can patch just the 'validated' flag :return: """ rows = [ ['What', 'When', 'Latitude', 'Longitude', 'Comments'], ['Chubby bat', '2018-06-01', -32, 115.75, 'It is huge!'] ] dataset = self._create_dataset_and_records_from_rows(rows) self.assertEqual(dataset.type, Dataset.TYPE_OBSERVATION) records = dataset.record_set.all() record = records.last() self.assertIsNotNone(record) self.assertFalse(record.validated) previous_data = json.dumps(record.data) # patch url = reverse('api:record-detail', kwargs={"pk": record.pk}) client = self.custodian_1_client payload = { 'validated': True } resp = client.patch(url, payload) self.assertEqual(resp.status_code, status.HTTP_200_OK) record.refresh_from_db() self.assertTrue(record.validated) self.assertTrue(json.dumps(record.data), previous_data) def test_patch_locked(self): """ Test that we can patch just the 'locked' flag :return: """ rows = [ ['What', 'When', 'Latitude', 'Longitude', 'Comments'], ['Chubby bat', '2018-06-01', -32, 115.75, 'It is huge!'] ] dataset = self._create_dataset_and_records_from_rows(rows) self.assertEqual(dataset.type, Dataset.TYPE_OBSERVATION) records = dataset.record_set.all() record = records.last() self.assertIsNotNone(record) self.assertFalse(record.locked) previous_data = json.dumps(record.data) # patch url = reverse('api:record-detail', kwargs={"pk": record.pk}) client = self.custodian_1_client payload = { 'locked': True } resp = client.patch(url, payload) self.assertEqual(resp.status_code, status.HTTP_200_OK) record.refresh_from_db() self.assertTrue(record.locked) self.assertTrue(json.dumps(record.data), previous_data)

36.350877

116

0.56264

8,270

78,736

5.159613

0.059492

0.050621

0.021748

0.027185

0.799719

0.782119

0.76187

0.749309

0.732622

0.715702

0

0.030278

0.333469

78,736

2,165

117

36.367667

0.782793

0.075086

0

0.690055

0

0.000552

0.092741

0.000907

0

0.000462

0.139227

1

0.028177

false

0.000552

0.008287

0

0.046409

0

null

0

1

0

null

0

5

fa8a0631b393860229d2ba0c84d1d68ee4710fdb

78

py

Python

maddux/objects/__init__.py

emielke12/maddux

fed7770c54124c14935523e6bcdba81ad9538cbc

[ "MIT" ]

23

2016-04-23T18:13:24.000Z

2021-12-14T23:37:09.000Z

maddux/objects/__init__.py

emielke12/maddux

fed7770c54124c14935523e6bcdba81ad9538cbc

[ "MIT" ]

12

2016-04-14T23:59:51.000Z

2019-05-25T10:00:14.000Z

maddux/objects/__init__.py

emielke12/maddux

fed7770c54124c14935523e6bcdba81ad9538cbc

[ "MIT" ]

8

2018-10-19T13:52:27.000Z

2020-10-31T23:30:24.000Z

from ball import Ball from target import Target from obstacle import Obstacle

19.5

29

0.846154

12

78

5.5

0.416667

0

0.153846

78

3

30

26

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

faec51972a4689cb202e308168f31075c0782f3b

205

py

Python

apps.py

anthill-gaming/anthill-admin

e3c29a9bd7c04d2c6ce29528578a93395adf59e0

[ "MIT" ]

1

2018-11-30T21:56:14.000Z

apps.py

anthill-gaming/anthill-admin

e3c29a9bd7c04d2c6ce29528578a93395adf59e0

[ "MIT" ]

null

apps.py

anthill-gaming/anthill-admin

e3c29a9bd7c04d2c6ce29528578a93395adf59e0

[ "MIT" ]

null

from anthill.platform.apps import BaseAnthillApplication import logging logger = logging.getLogger('anthill.application') class AnthillApplication(BaseAnthillApplication): """Anthill application"""

22.777778

56

0.814634

18

205

9.277778

0.666667

0.215569

0

0.097561

205

8

57

25.625

0.902703

0.092683

0

0.105556

0

1

0

false

0

0.5

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

877d4d8cba6bceb022be9f354ccfa0f24e98fa24

13

py

Python

word-scanner.py

Mazdaywik/diplom

1f01b7ef6df08c971c3e5286a2639e1a400c3d8f

[ "MIT" ]

null

word-scanner.py

Mazdaywik/diplom

1f01b7ef6df08c971c3e5286a2639e1a400c3d8f

[ "MIT" ]

null

word-scanner.py

Mazdaywik/diplom

1f01b7ef6df08c971c3e5286a2639e1a400c3d8f

[ "MIT" ]

null

print('Bye!')

13

0.615385

2

13

4

1

0

13

1

13

0.615385

0

0.285714

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8782785b5cbe36fd4a3951d7630dbe9496180470

178

py

Python

tcex/bin/__init__.py

kdeltared/tcex

818c0d09256764f871e42d9ca5916f92d941d882

[ "Apache-2.0" ]

18

2017-01-09T22:17:49.000Z

2022-01-24T20:46:42.000Z

tcex/bin/__init__.py

kdeltared/tcex

818c0d09256764f871e42d9ca5916f92d941d882

[ "Apache-2.0" ]

84

2017-04-11T13:47:49.000Z

2022-03-21T20:12:57.000Z

tcex/bin/__init__.py

kdeltared/tcex

818c0d09256764f871e42d9ca5916f92d941d882

[ "Apache-2.0" ]

43

2017-01-05T20:40:26.000Z

2022-03-31T19:18:02.000Z

"""Bin module for TcEx Framework""" # flake8: noqa from .init import Init from .lib import Lib from .package import Package from .test import Test from .validate import Validate

22.25

35

0.769663

27

178

5.074074

0.518519

0

0.006667

0.157303

178

7

36

25.428571

0.906667

0.241573

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

87c52b3194e192d0797d5b91a3809cb3cd6eb95f

132

py

Python

app/models/__init__.py

zhiyong-lv/flask-login

d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63

[ "MIT" ]

null

app/models/__init__.py

zhiyong-lv/flask-login

d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63

[ "MIT" ]

null

app/models/__init__.py

zhiyong-lv/flask-login

d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63

[ "MIT" ]

null

from .users import User from .documents import Document from .files import File from .tags import Tag from .file_tags import FileTag

26.4

31

0.818182

21

132

5.095238

0.52381

0.186916

0

0.143939

132

5

32

26.4

0.946903

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

87d2ac50934cd57dda9488dc2299a7c4c3017660

488

py

Python

tests/unittest/test_get_tripcounts.py

MPSLab-ASU/dMazeRunner

b8b0a77729a6ec31b7952fd3c209f09781819d0a

[ "MIT" ]

23

2020-06-11T00:51:16.000Z

2022-03-21T06:11:41.000Z

tests/unittest/test_get_tripcounts.py

MPSLab-ASU/dMazeRunner

b8b0a77729a6ec31b7952fd3c209f09781819d0a

[ "MIT" ]

4

2020-03-12T03:32:16.000Z

2021-03-10T05:39:34.000Z

tests/unittest/test_get_tripcounts.py

MPSLab-ASU/dMazeRunner

b8b0a77729a6ec31b7952fd3c209f09781819d0a

[ "MIT" ]

10

2020-04-28T06:19:43.000Z

2022-03-29T21:26:23.000Z

from test_common import get_sample_layer def test_get_TripCounts(): layer = get_sample_layer() assert layer.get_TripCounts("C", "loop") == 256 assert layer.get_TripCounts("Ox", "Spatial") == 7 def test_get_TripCounts_all_IVs(): layer = get_sample_layer() assert layer.get_TripCounts_all_IVs("loop") == 462422016 assert layer.get_TripCounts_all_IVs("Spatial") == 196 """ if __name__ == "__main__": test_get_TripCounts() test_get_TripCounts_all_IVs() """

27.111111

60

0.721311

66

488

4.80303

0.348485

0.328076

0.214511

0.302839

0.529968

0.384858

0.271293

0

0.038741

0.153689

488

17

61

28.705882

0.728814

0

0.222222

0

0.063452

0

0.444444

1

0.222222

false

0

0.111111

0

0.333333

0

null

1

0

null

0

1

0

1

0

5

87dfa73d803ea0d685f28a07b27054972d43e371

47

py

Python

tests/correct_scripts/ipython_ext_test.py

shiba6v/shape_commentator

e57c4d7e0781fa02fdc49dbc5c88236df5948cf1

[ "MIT" ]

65

2018-12-06T15:34:50.000Z

2021-09-10T12:38:43.000Z

tests/correct_scripts/ipython_ext_test.py

shiba6v/shape_commentator

e57c4d7e0781fa02fdc49dbc5c88236df5948cf1

[ "MIT" ]

5

2018-12-14T06:32:54.000Z

2019-08-04T09:36:45.000Z

tests/correct_scripts/ipython_ext_test.py

shiba6v/shape_commentator

e57c4d7e0781fa02fdc49dbc5c88236df5948cf1

[ "MIT" ]

1

2019-01-02T00:05:38.000Z

a = np.array([1,2,3]) #_ (3,) b = a #_ (3,)

11.75

30

0.361702

10

47

1.5

0.7

0

0.147059

0.276596

47

3

31

15.666667

0.294118

0.255319

0

1

0

false

0

1

null

0

1

0

1

0

null

0

5

35646b49b82e67d79f5c73c49bbcd6371629292f

942

py

Python

src/py-opentimelineio/opentimelineio/exceptions.py

michdolan/OpenTimelineIO

1ec6f07f1af525ba4ca0aa91e01e5939d6237f01

[ "Apache-2.0" ]

null

src/py-opentimelineio/opentimelineio/exceptions.py

michdolan/OpenTimelineIO

1ec6f07f1af525ba4ca0aa91e01e5939d6237f01

[ "Apache-2.0" ]

4

2022-03-09T22:28:42.000Z

2022-03-14T15:16:50.000Z

src/py-opentimelineio/opentimelineio/exceptions.py

michdolan/OpenTimelineIO

1ec6f07f1af525ba4ca0aa91e01e5939d6237f01

[ "Apache-2.0" ]

null

# SPDX-License-Identifier: Apache-2.0 # Copyright Contributors to the OpenTimelineIO project """Exception classes for OpenTimelineIO""" from . _otio import ( # noqa OTIOError, NotAChildError, UnsupportedSchemaError, CannotComputeAvailableRangeError ) class CouldNotReadFileError(OTIOError): pass class NoKnownAdapterForExtensionError(OTIOError): pass class ReadingNotSupportedError(OTIOError): pass class WritingNotSupportedError(OTIOError): pass class NotSupportedError(OTIOError): pass class InvalidSerializableLabelError(OTIOError): pass class AdapterDoesntSupportFunctionError(OTIOError): pass class InstancingNotAllowedError(OTIOError): pass class TransitionFollowingATransitionError(OTIOError): pass class MisconfiguredPluginError(OTIOError): pass class CannotTrimTransitionsError(OTIOError): pass class NoDefaultMediaLinkerError(OTIOError): pass

15.966102

54

0.780255

72

942

10.194444

0.513889

0.212534

0.269755

0

0.002528

0.160297

942

58

55

16.241379

0.925411

0.139066

0

0.4

0

1

0

true

0.4

0.033333

0

0.433333

0

1

null

1

0

null

0

1

0

5

3568b6319174e4c04befe03812b698097ee680ef

218

py

Python

plotly/validators/frame/__init__.py

gnestor/plotly.py

a8ae062795ddbf9867b8578fe6d9e244948c15ff

[ "MIT" ]

12

2020-04-18T18:10:22.000Z

2021-12-06T10:11:15.000Z

plotly/validators/frame/__init__.py

Vesauza/plotly.py

e53e626d59495d440341751f60aeff73ff365c28

[ "MIT" ]

27

2020-04-28T21:23:12.000Z

2021-06-25T15:36:38.000Z

plotly/validators/frame/__init__.py

Vesauza/plotly.py

e53e626d59495d440341751f60aeff73ff365c28

[ "MIT" ]

6

2020-04-18T23:07:08.000Z

2021-11-18T07:53:06.000Z

from ._traces import TracesValidator from ._name import NameValidator from ._layout import LayoutValidator from ._group import GroupValidator from ._data import DataValidator from ._baseframe import BaseframeValidator

31.142857

42

0.862385

24

218

7.583333

0.583333

0

0.110092

218

6

43

36.333333

0.938144

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3573c129a667ab6ae887c12d86ee745fd22025df

82

py

Python

1stSemester_PythonCourse/work1/E01_1827406005.py

chenyz2000/schoolCourses

cca7f25b0f44186e0c248b26b5d7ed2bcb23c630

[ "MIT" ]

null

1stSemester_PythonCourse/work1/E01_1827406005.py

chenyz2000/schoolCourses

cca7f25b0f44186e0c248b26b5d7ed2bcb23c630

[ "MIT" ]

null

1stSemester_PythonCourse/work1/E01_1827406005.py

chenyz2000/schoolCourses

cca7f25b0f44186e0c248b26b5d7ed2bcb23c630

[ "MIT" ]

null

a=eval(input("please input a")) b=eval(input("please input b")) print(divmod(a,b))

27.333333

31

0.695122

16

82

3.5625

0.4375

0.315789

0.526316

0.701754

0

0.073171

82

3

32

27.333333

0.75

0

0.337349

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

5

359ca349c152ae13d7932920e261d355c8a5a897

85

py

Python

stdlib_tests/test_floor.py

egoelm/voc

9e6c545ac9d7825230d397dfff96da81cd089faf

[ "BSD-3-Clause" ]

null

stdlib_tests/test_floor.py

egoelm/voc

9e6c545ac9d7825230d397dfff96da81cd089faf

[ "BSD-3-Clause" ]

1

2019-09-24T08:06:49.000Z

stdlib_tests/test_floor.py

egoelm/voc

9e6c545ac9d7825230d397dfff96da81cd089faf

[ "BSD-3-Clause" ]

null

# to run it: voc stdlib_tests/test_floor.py from math import floor print(floor(3.4))

21.25

43

0.764706

17

85

3.705882

0.882353

0

0.027027

0.129412

85

3

44

28.333333

0.824324

0.482353

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

35bb09785952b5711a539de5318e28c73119f523

454

py

Python

28-Packages.py

Ahm3d-Salama/Python-apps

fce528ed62ae76cbd856af05209ffc28dac38480

[ "MIT" ]

2

2021-06-08T17:41:30.000Z

2022-01-13T10:44:23.000Z

28-Packages.py

Ahm3d-Salama/Python-apps

fce528ed62ae76cbd856af05209ffc28dac38480

[ "MIT" ]

null

28-Packages.py

Ahm3d-Salama/Python-apps

fce528ed62ae76cbd856af05209ffc28dac38480

[ "MIT" ]

null

# import entire module # import ecommerce.shipping # ecommerce.shipping.calc_shipping() # start from the package and import specific module # start from package.module and import specific function # from ecommerce.shipping import calc_shipping, calc_tax # calc_shipping() # calc_shipping() # calc_shipping() # calc_shipping() # calc_tax() # import entire module from ecommerce import shipping shipping.calc_shipping()

17.461538

57

0.735683

54

454

6.018519

0.259259

0.258462

0.307692

0.221538

0.16

0

0.19163

454

25

58

18.16

0.885559

0.742291

0

1

0

true

0

0.5

0

0.5

0

null

1

0

null

0

1

0

1

0

5

ea04193fd216c224f3cd60cc438149a56159a538

38

py

Python

way/python/exercises/solo_learn/basics/printing_text.py

only-romano/junkyard

b60a25b2643f429cdafee438d20f9966178d6f36

[ "MIT" ]

null

way/python/exercises/solo_learn/basics/printing_text.py

only-romano/junkyard

b60a25b2643f429cdafee438d20f9966178d6f36

[ "MIT" ]

null

way/python/exercises/solo_learn/basics/printing_text.py

only-romano/junkyard

b60a25b2643f429cdafee438d20f9966178d6f36

[ "MIT" ]

null

print("Hi!") print("Spam and Eggs")

12.666667

23

0.605263

6

38

3.833333

0.833333

0

0.157895

38

2

24

19

0.71875

0

0.444444

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ea09315ab6f08ff217f16e31cd2b88cc834bcd08

13

py

Python

ExpertPythonProgramming/ThirdEdition/5/meta-hooks/sub.py

t2y/python-study

52a132ea600d4696164e540d8a8f8f5fc58e097a

[ "Apache-2.0" ]

18

2016-08-15T00:24:44.000Z

2020-11-30T15:11:52.000Z

ExpertPythonProgramming/ThirdEdition/5/meta-hooks/sub.py

t2y/python-study

52a132ea600d4696164e540d8a8f8f5fc58e097a

[ "Apache-2.0" ]

null

ExpertPythonProgramming/ThirdEdition/5/meta-hooks/sub.py

t2y/python-study

52a132ea600d4696164e540d8a8f8f5fc58e097a

[ "Apache-2.0" ]

6

2016-09-28T10:47:03.000Z

2020-10-14T10:20:06.000Z

print('sub')

6.5

12

0.615385

2

13

4

1

0

0.076923

13

1

13

0.666667

0

0.230769

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ea1d2b6c5d9f706738cf5e297fc34fd84f4de2d0

96

py

Python

net_task/core/__init__.py

W84TheSun/user_input_prompt_task

32590b45ab44ee8da6b0f6178a2e35cd4366c14e

[ "MIT" ]

null

net_task/core/__init__.py

W84TheSun/user_input_prompt_task

32590b45ab44ee8da6b0f6178a2e35cd4366c14e

[ "MIT" ]

null

net_task/core/__init__.py

W84TheSun/user_input_prompt_task

32590b45ab44ee8da6b0f6178a2e35cd4366c14e

[ "MIT" ]

null

from .common_functions import create_words_dictionary, find_suitable_words from .errors import *

48

74

0.875

13

96

6.076923

0.769231

0

0.083333

96

2

75

48

0.897727

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ea3c309a239f0eec90a8450d4bd0b52ee3971ed2

199

py

Python

mpcontribs-users/mpcontribs/users/dilute_solute_diffusion/explorer/urls.py

josuav1/MPContribs

3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935

[ "MIT" ]

1

2019-07-03T04:38:58.000Z

mpcontribs-users/mpcontribs/users/dilute_solute_diffusion/explorer/urls.py

josuav1/MPContribs

3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935

[ "MIT" ]

null

mpcontribs-users/mpcontribs/users/dilute_solute_diffusion/explorer/urls.py

josuav1/MPContribs

3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935

[ "MIT" ]

1

2019-07-03T04:39:04.000Z

from django.conf.urls import url from . import views from mpcontribs.users_modules import get_user_explorer_name urlpatterns = [ url(r'^$', views.index, name=get_user_explorer_name(__file__)) ]

24.875

66

0.78392

29

199

5

0.62069

0.096552

0.206897

0.262069

0

0.120603

199

7

67

28.428571

0.828571

0

0.01005

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

5

ea3cadb377ccdd641cec3dfa7dc2da9a1d1b0815

41

pyw

Python

SeriesMgr/SeriesMgr.pyw

esitarski/CrossMgr

de33b5ed662556ec659e6e2910f5fd0f88f25fa0

[ "MIT" ]

25

2015-02-26T01:26:10.000Z

2022-03-25T15:46:55.000Z

SeriesMgr/SeriesMgr.pyw

mbuckaway/CrossMgr

4c64e429eb3215fda1b685c5e684c56f5d0c02cf

[ "MIT" ]

76

2015-12-09T04:24:30.000Z

2022-02-18T16:39:28.000Z

SeriesMgr/SeriesMgr.pyw

mbuckaway/CrossMgr

4c64e429eb3215fda1b685c5e684c56f5d0c02cf

[ "MIT" ]

17

2015-04-23T07:37:13.000Z

2020-01-22T17:47:16.000Z

from MainWin import MainLoop MainLoop()

10.25

28

0.804878

5

41

6.6

0.8

0

0.146341

41

3

29

13.666667

0.942857

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ea3de340dfbe7e22cd3ca8ca36236c4213a3b2b9

37

py

Python

src/nostradamus/preprocessing/__init__.py

Orlogskapten/tsNostradamus

707cbc23fac3e0f92875d89550046e5c3b7b17d2

[ "MIT" ]

3

2020-07-06T10:58:40.000Z

2020-07-23T21:39:51.000Z

src/nostradamus/preprocessing/__init__.py

wenceslas-sanchez/tsNostradamus

707cbc23fac3e0f92875d89550046e5c3b7b17d2

[ "MIT" ]

null

src/nostradamus/preprocessing/__init__.py

wenceslas-sanchez/tsNostradamus

707cbc23fac3e0f92875d89550046e5c3b7b17d2

[ "MIT" ]

null

from .tunnel_snake import tunnelSnake

37

0.891892

5

37

6.4

1

0

0.081081

37

1

37

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ea53713a32a66faa73bb9a7d1378fabb90f206bd

79

py

Python

web2py-appliances-master/EStore/models/plugin_shipping.py

wantsomechocolate/WantsomeBeanstalk

8c8a0a80490d04ea52661a3114fd3db8de65a01e

[ "BSD-3-Clause" ]

null

web2py-appliances-master/EStore/models/plugin_shipping.py

wantsomechocolate/WantsomeBeanstalk

8c8a0a80490d04ea52661a3114fd3db8de65a01e

[ "BSD-3-Clause" ]

null

web2py-appliances-master/EStore/models/plugin_shipping.py

wantsomechocolate/WantsomeBeanstalk

8c8a0a80490d04ea52661a3114fd3db8de65a01e

[ "BSD-3-Clause" ]

null

def compute_shipping(type, volume, weight, address1, address2): return 0.0

26.333333

63

0.746835

11

79

5.272727

0.909091

0

0.059701

0.151899

79

2

64

39.5

0.80597

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ea5a9d6016940136e337dfce9f4b12bc3b3248bf

96

py

Python

venv/lib/python3.8/site-packages/cryptography/hazmat/backends/openssl/hmac.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/cryptography/hazmat/backends/openssl/hmac.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/cryptography/hazmat/backends/openssl/hmac.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/8d/d8/8d/aebb8123c2c6ff5c6b4d6fe9ccfdd5e047e6bd620653d995f7032dac46

96

0.895833

9

96

9.555556

0.888889

0

0.354167

0

96

1

96

0.541667

0

1

0

null

0

null

0

1

0

null

0

1

0

1

0

null

1

0

1

0

5

ea6f62b5bc4f45cefd9fb009c9276ba663bedfca

10,517

py

Python

HW4 - 95542247/q4/gen/Assignment4q4Lexer.py

SadraGoudarzdashti/IUSTCompiler

7aa24df7de10030c313ad2e8f3830d9e2b182ce1

[ "MIT" ]

null

HW4 - 95542247/q4/gen/Assignment4q4Lexer.py

SadraGoudarzdashti/IUSTCompiler

7aa24df7de10030c313ad2e8f3830d9e2b182ce1

[ "MIT" ]

null

HW4 - 95542247/q4/gen/Assignment4q4Lexer.py

SadraGoudarzdashti/IUSTCompiler

7aa24df7de10030c313ad2e8f3830d9e2b182ce1

[ "MIT" ]

null

# Generated from C:/Users/novin/PycharmProjects/tamrin-compiler\Assignment4q4.g4 by ANTLR 4.9.1 from antlr4 import * from io import StringIO from typing.io import TextIO import sys def serializedATN(): with StringIO() as buf: buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2)") buf.write("\u010c\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7") buf.write("\t\7\4\b\t\b\4\t\t\t\4\n\t\n\4\13\t\13\4\f\t\f\4\r\t\r") buf.write("\4\16\t\16\4\17\t\17\4\20\t\20\4\21\t\21\4\22\t\22\4\23") buf.write("\t\23\4\24\t\24\4\25\t\25\4\26\t\26\4\27\t\27\4\30\t\30") buf.write("\4\31\t\31\4\32\t\32\4\33\t\33\4\34\t\34\4\35\t\35\4\36") buf.write("\t\36\4\37\t\37\4 \t \4!\t!\4\"\t\"\4#\t#\4$\t$\4%\t%") buf.write("\4&\t&\4\'\t\'\4(\t(\3\2\3\2\3\2\3\2\3\2\3\2\3\3\3\3\3") buf.write("\4\3\4\3\4\3\4\3\4\3\4\3\4\3\5\3\5\3\5\3\5\3\5\3\5\3\5") buf.write("\3\6\3\6\3\6\3\6\3\6\3\7\3\7\3\7\3\7\3\7\3\b\3\b\3\t\3") buf.write("\t\3\t\3\t\3\t\3\t\3\t\3\n\3\n\3\13\3\13\3\f\3\f\3\r\3") buf.write("\r\3\16\3\16\3\16\3\16\3\16\3\16\3\16\3\16\3\17\3\17\3") buf.write("\20\3\20\3\21\3\21\3\21\3\21\3\21\3\21\3\21\3\22\3\22") buf.write("\3\22\3\22\3\23\3\23\3\23\3\23\3\23\3\23\3\23\3\23\3\24") buf.write("\3\24\3\24\3\25\3\25\3\25\3\25\3\25\3\26\3\26\3\26\3\26") buf.write("\3\26\3\26\3\27\3\27\3\27\3\27\3\27\3\27\3\27\3\27\3\27") buf.write("\3\27\3\27\3\27\3\27\3\27\3\27\3\27\3\27\3\27\3\27\3\30") buf.write("\3\30\3\31\3\31\3\31\3\32\3\32\3\33\3\33\3\34\3\34\3\35") buf.write("\3\35\3\36\3\36\3\37\3\37\3\37\3\37\3\37\3\37\3\37\3 ") buf.write("\3 \3 \3 \3 \3!\3!\3!\3!\3!\3!\3\"\3\"\3\"\3\"\3\"\3#") buf.write("\3#\3#\3#\3$\3$\3%\3%\7%\u00f1\n%\f%\16%\u00f4\13%\3&") buf.write("\6&\u00f7\n&\r&\16&\u00f8\3\'\6\'\u00fc\n\'\r\'\16\'\u00fd") buf.write("\3\'\3\'\3(\3(\3(\3(\7(\u0106\n(\f(\16(\u0109\13(\3(\3") buf.write("(\2\2)\3\3\5\4\7\5\t\6\13\7\r\b\17\t\21\n\23\13\25\f\27") buf.write("\r\31\16\33\17\35\20\37\21!\22#\23%\24\'\25)\26+\27-\30") buf.write("/\31\61\32\63\33\65\34\67\359\36;\37= ?!A\"C#E$G%I&K\'") buf.write("M(O)\3\2\7\4\2C\\c|\6\2\62;C\\aac|\3\2\62;\5\2\13\f\17") buf.write("\17\"\"\4\2\f\f\17\17\2\u010f\2\3\3\2\2\2\2\5\3\2\2\2") buf.write("\2\7\3\2\2\2\2\t\3\2\2\2\2\13\3\2\2\2\2\r\3\2\2\2\2\17") buf.write("\3\2\2\2\2\21\3\2\2\2\2\23\3\2\2\2\2\25\3\2\2\2\2\27\3") buf.write("\2\2\2\2\31\3\2\2\2\2\33\3\2\2\2\2\35\3\2\2\2\2\37\3\2") buf.write("\2\2\2!\3\2\2\2\2#\3\2\2\2\2%\3\2\2\2\2\'\3\2\2\2\2)\3") buf.write("\2\2\2\2+\3\2\2\2\2-\3\2\2\2\2/\3\2\2\2\2\61\3\2\2\2\2") buf.write("\63\3\2\2\2\2\65\3\2\2\2\2\67\3\2\2\2\29\3\2\2\2\2;\3") buf.write("\2\2\2\2=\3\2\2\2\2?\3\2\2\2\2A\3\2\2\2\2C\3\2\2\2\2E") buf.write("\3\2\2\2\2G\3\2\2\2\2I\3\2\2\2\2K\3\2\2\2\2M\3\2\2\2\2") buf.write("O\3\2\2\2\3Q\3\2\2\2\5W\3\2\2\2\7Y\3\2\2\2\t`\3\2\2\2") buf.write("\13g\3\2\2\2\rl\3\2\2\2\17q\3\2\2\2\21s\3\2\2\2\23z\3") buf.write("\2\2\2\25|\3\2\2\2\27~\3\2\2\2\31\u0080\3\2\2\2\33\u0082") buf.write("\3\2\2\2\35\u008a\3\2\2\2\37\u008c\3\2\2\2!\u008e\3\2") buf.write("\2\2#\u0095\3\2\2\2%\u0099\3\2\2\2\'\u00a1\3\2\2\2)\u00a4") buf.write("\3\2\2\2+\u00a9\3\2\2\2-\u00af\3\2\2\2/\u00c2\3\2\2\2") buf.write("\61\u00c4\3\2\2\2\63\u00c7\3\2\2\2\65\u00c9\3\2\2\2\67") buf.write("\u00cb\3\2\2\29\u00cd\3\2\2\2;\u00cf\3\2\2\2=\u00d1\3") buf.write("\2\2\2?\u00d8\3\2\2\2A\u00dd\3\2\2\2C\u00e3\3\2\2\2E\u00e8") buf.write("\3\2\2\2G\u00ec\3\2\2\2I\u00ee\3\2\2\2K\u00f6\3\2\2\2") buf.write("M\u00fb\3\2\2\2O\u0101\3\2\2\2QR\7e\2\2RS\7n\2\2ST\7c") buf.write("\2\2TU\7u\2\2UV\7u\2\2V\4\3\2\2\2WX\7}\2\2X\6\3\2\2\2") buf.write("YZ\7r\2\2Z[\7w\2\2[\\\7d\2\2\\]\7n\2\2]^\7k\2\2^_\7e\2") buf.write("\2_\b\3\2\2\2`a\7u\2\2ab\7v\2\2bc\7c\2\2cd\7v\2\2de\7") buf.write("k\2\2ef\7e\2\2f\n\3\2\2\2gh\7x\2\2hi\7q\2\2ij\7k\2\2j") buf.write("k\7f\2\2k\f\3\2\2\2lm\7o\2\2mn\7c\2\2no\7k\2\2op\7p\2") buf.write("\2p\16\3\2\2\2qr\7*\2\2r\20\3\2\2\2st\7U\2\2tu\7v\2\2") buf.write("uv\7t\2\2vw\7k\2\2wx\7p\2\2xy\7i\2\2y\22\3\2\2\2z{\7]") buf.write("\2\2{\24\3\2\2\2|}\7_\2\2}\26\3\2\2\2~\177\7+\2\2\177") buf.write("\30\3\2\2\2\u0080\u0081\7\177\2\2\u0081\32\3\2\2\2\u0082") buf.write("\u0083\7g\2\2\u0083\u0084\7z\2\2\u0084\u0085\7v\2\2\u0085") buf.write("\u0086\7g\2\2\u0086\u0087\7p\2\2\u0087\u0088\7f\2\2\u0088") buf.write("\u0089\7u\2\2\u0089\34\3\2\2\2\u008a\u008b\7=\2\2\u008b") buf.write("\36\3\2\2\2\u008c\u008d\7.\2\2\u008d \3\2\2\2\u008e\u008f") buf.write("\7t\2\2\u008f\u0090\7g\2\2\u0090\u0091\7v\2\2\u0091\u0092") buf.write("\7w\2\2\u0092\u0093\7t\2\2\u0093\u0094\7p\2\2\u0094\"") buf.write("\3\2\2\2\u0095\u0096\7k\2\2\u0096\u0097\7p\2\2\u0097\u0098") buf.write("\7v\2\2\u0098$\3\2\2\2\u0099\u009a\7d\2\2\u009a\u009b") buf.write("\7q\2\2\u009b\u009c\7q\2\2\u009c\u009d\7n\2\2\u009d\u009e") buf.write("\7g\2\2\u009e\u009f\7c\2\2\u009f\u00a0\7p\2\2\u00a0&\3") buf.write("\2\2\2\u00a1\u00a2\7k\2\2\u00a2\u00a3\7h\2\2\u00a3(\3") buf.write("\2\2\2\u00a4\u00a5\7g\2\2\u00a5\u00a6\7n\2\2\u00a6\u00a7") buf.write("\7u\2\2\u00a7\u00a8\7g\2\2\u00a8*\3\2\2\2\u00a9\u00aa") buf.write("\7y\2\2\u00aa\u00ab\7j\2\2\u00ab\u00ac\7k\2\2\u00ac\u00ad") buf.write("\7n\2\2\u00ad\u00ae\7g\2\2\u00ae,\3\2\2\2\u00af\u00b0") buf.write("\7U\2\2\u00b0\u00b1\7{\2\2\u00b1\u00b2\7u\2\2\u00b2\u00b3") buf.write("\7v\2\2\u00b3\u00b4\7g\2\2\u00b4\u00b5\7o\2\2\u00b5\u00b6") buf.write("\7\60\2\2\u00b6\u00b7\7q\2\2\u00b7\u00b8\7w\2\2\u00b8") buf.write("\u00b9\7v\2\2\u00b9\u00ba\7\60\2\2\u00ba\u00bb\7r\2\2") buf.write("\u00bb\u00bc\7t\2\2\u00bc\u00bd\7k\2\2\u00bd\u00be\7p") buf.write("\2\2\u00be\u00bf\7v\2\2\u00bf\u00c0\7n\2\2\u00c0\u00c1") buf.write("\7p\2\2\u00c1.\3\2\2\2\u00c2\u00c3\7?\2\2\u00c3\60\3\2") buf.write("\2\2\u00c4\u00c5\7(\2\2\u00c5\u00c6\7(\2\2\u00c6\62\3") buf.write("\2\2\2\u00c7\u00c8\7>\2\2\u00c8\64\3\2\2\2\u00c9\u00ca") buf.write("\7-\2\2\u00ca\66\3\2\2\2\u00cb\u00cc\7/\2\2\u00cc8\3\2") buf.write("\2\2\u00cd\u00ce\7,\2\2\u00ce:\3\2\2\2\u00cf\u00d0\7\60") buf.write("\2\2\u00d0<\3\2\2\2\u00d1\u00d2\7n\2\2\u00d2\u00d3\7g") buf.write("\2\2\u00d3\u00d4\7p\2\2\u00d4\u00d5\7i\2\2\u00d5\u00d6") buf.write("\7v\2\2\u00d6\u00d7\7j\2\2\u00d7>\3\2\2\2\u00d8\u00d9") buf.write("\7v\2\2\u00d9\u00da\7t\2\2\u00da\u00db\7w\2\2\u00db\u00dc") buf.write("\7g\2\2\u00dc@\3\2\2\2\u00dd\u00de\7h\2\2\u00de\u00df") buf.write("\7c\2\2\u00df\u00e0\7n\2\2\u00e0\u00e1\7u\2\2\u00e1\u00e2") buf.write("\7g\2\2\u00e2B\3\2\2\2\u00e3\u00e4\7v\2\2\u00e4\u00e5") buf.write("\7j\2\2\u00e5\u00e6\7k\2\2\u00e6\u00e7\7u\2\2\u00e7D\3") buf.write("\2\2\2\u00e8\u00e9\7p\2\2\u00e9\u00ea\7g\2\2\u00ea\u00eb") buf.write("\7y\2\2\u00ebF\3\2\2\2\u00ec\u00ed\7#\2\2\u00edH\3\2\2") buf.write("\2\u00ee\u00f2\t\2\2\2\u00ef\u00f1\t\3\2\2\u00f0\u00ef") buf.write("\3\2\2\2\u00f1\u00f4\3\2\2\2\u00f2\u00f0\3\2\2\2\u00f2") buf.write("\u00f3\3\2\2\2\u00f3J\3\2\2\2\u00f4\u00f2\3\2\2\2\u00f5") buf.write("\u00f7\t\4\2\2\u00f6\u00f5\3\2\2\2\u00f7\u00f8\3\2\2\2") buf.write("\u00f8\u00f6\3\2\2\2\u00f8\u00f9\3\2\2\2\u00f9L\3\2\2") buf.write("\2\u00fa\u00fc\t\5\2\2\u00fb\u00fa\3\2\2\2\u00fc\u00fd") buf.write("\3\2\2\2\u00fd\u00fb\3\2\2\2\u00fd\u00fe\3\2\2\2\u00fe") buf.write("\u00ff\3\2\2\2\u00ff\u0100\b\'\2\2\u0100N\3\2\2\2\u0101") buf.write("\u0102\7\61\2\2\u0102\u0103\7\61\2\2\u0103\u0107\3\2\2") buf.write("\2\u0104\u0106\n\6\2\2\u0105\u0104\3\2\2\2\u0106\u0109") buf.write("\3\2\2\2\u0107\u0105\3\2\2\2\u0107\u0108\3\2\2\2\u0108") buf.write("\u010a\3\2\2\2\u0109\u0107\3\2\2\2\u010a\u010b\b(\2\2") buf.write("\u010bP\3\2\2\2\7\2\u00f2\u00f8\u00fd\u0107\3\b\2\2") return buf.getvalue() class Assignment4q4Lexer(Lexer): atn = ATNDeserializer().deserialize(serializedATN()) decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ] T__0 = 1 T__1 = 2 T__2 = 3 T__3 = 4 T__4 = 5 T__5 = 6 T__6 = 7 T__7 = 8 T__8 = 9 T__9 = 10 T__10 = 11 T__11 = 12 T__12 = 13 T__13 = 14 T__14 = 15 T__15 = 16 T__16 = 17 T__17 = 18 T__18 = 19 T__19 = 20 T__20 = 21 T__21 = 22 T__22 = 23 T__23 = 24 T__24 = 25 T__25 = 26 T__26 = 27 T__27 = 28 T__28 = 29 T__29 = 30 T__30 = 31 T__31 = 32 T__32 = 33 T__33 = 34 T__34 = 35 IDENTIFIER = 36 INTEGER_LITERAL = 37 WS = 38 LINE_COMMENT = 39 channelNames = [ u"DEFAULT_TOKEN_CHANNEL", u"HIDDEN" ] modeNames = [ "DEFAULT_MODE" ] literalNames = [ "<INVALID>", "'class'", "'{'", "'public'", "'static'", "'void'", "'main'", "'('", "'String'", "'['", "']'", "')'", "'}'", "'extends'", "';'", "','", "'return'", "'int'", "'boolean'", "'if'", "'else'", "'while'", "'System.out.println'", "'='", "'&&'", "'<'", "'+'", "'-'", "'*'", "'.'", "'length'", "'true'", "'false'", "'this'", "'new'", "'!'" ] symbolicNames = [ "<INVALID>", "IDENTIFIER", "INTEGER_LITERAL", "WS", "LINE_COMMENT" ] ruleNames = [ "T__0", "T__1", "T__2", "T__3", "T__4", "T__5", "T__6", "T__7", "T__8", "T__9", "T__10", "T__11", "T__12", "T__13", "T__14", "T__15", "T__16", "T__17", "T__18", "T__19", "T__20", "T__21", "T__22", "T__23", "T__24", "T__25", "T__26", "T__27", "T__28", "T__29", "T__30", "T__31", "T__32", "T__33", "T__34", "IDENTIFIER", "INTEGER_LITERAL", "WS", "LINE_COMMENT" ] grammarFileName = "Assignment4q4.g4" def __init__(self, input=None, output:TextIO = sys.stdout): super().__init__(input, output) self.checkVersion("4.9.1") self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache()) self._actions = None self._predicates = None

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0.543216

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1

0

1

null

0

5

ea84d4da3104665d3ccf691022c68d1657a221a5

150

py

Python

build/sources/hooker.py

PlayerG9/AppStalker

576bb9b3d4cd199cf762839e913905d60c9b88ff

[ "MIT" ]

null

build/sources/hooker.py

PlayerG9/AppStalker

576bb9b3d4cd199cf762839e913905d60c9b88ff

[ "MIT" ]

null

build/sources/hooker.py

PlayerG9/AppStalker

576bb9b3d4cd199cf762839e913905d60c9b88ff

[ "MIT" ]

null

import sys import os BASE = os.path.dirname(__file__) sys.path.append(os.path.join(BASE, 'libs')) os.add_dll_directory(os.path.join(BASE, 'windll'))

21.428571

50

0.746667

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0.188679

0.264151

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0.08

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0.066667

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false

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null

0

1

0

1

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null

0

1

0

5

ea892fd5041b2a4bf409c325bb4ab66b8fd99588

48

py

Python

stable_baselines_custom/a2c/__init__.py

iamlab-cmu/stable-baselines

6e9a8b2ad1d690bd9a9611405e4f319a52101540

[ "MIT" ]

null

stable_baselines_custom/a2c/__init__.py

iamlab-cmu/stable-baselines

6e9a8b2ad1d690bd9a9611405e4f319a52101540

[ "MIT" ]

null

stable_baselines_custom/a2c/__init__.py

iamlab-cmu/stable-baselines

6e9a8b2ad1d690bd9a9611405e4f319a52101540

[ "MIT" ]

null

from stable_baselines_custom.a2c.a2c import A2C

24

47

0.875

8

48

5

0.75

0

0.068182

0.083333

48

1

48

0.840909

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ea9cb324e332d0615ae95ad4535278240caac80c

58

py

Python

tests/roots/test_pymat/pysrc/func.py

mhbl3/matlabdomain

b210f5b5bd9276dba27f411cce0398538dbe7d9c

[ "BSD-2-Clause" ]

38

2017-11-23T19:27:05.000Z

2022-03-28T11:34:08.000Z

tests/roots/test_pymat/pysrc/func.py

mhbl3/matlabdomain

b210f5b5bd9276dba27f411cce0398538dbe7d9c

[ "BSD-2-Clause" ]

83

2017-11-22T19:08:49.000Z

2022-02-14T09:06:23.000Z

tests/roots/test_pymat/pysrc/func.py

mhbl3/matlabdomain

b210f5b5bd9276dba27f411cce0398538dbe7d9c

[ "BSD-2-Clause" ]

31

2017-11-21T13:38:50.000Z

2022-02-10T19:34:58.000Z

def main(): """ Returns the answer. """ return 42

14.5

31

0.534483

7

58

4.428571

1

0

0.04878

0.293103

58

3

32

19.333333

0.707317

0.327586

0

1

0.5

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

576e56a525807d1655faa1eb619e22f99be2dbc3

217

py

Python

backend/app/extensions/__init__.py

JHowell45/financial-application

9be70692651658f9b0c7e73cd93522e0a579cd98

[ "MIT" ]

null

backend/app/extensions/__init__.py

JHowell45/financial-application

9be70692651658f9b0c7e73cd93522e0a579cd98

[ "MIT" ]

null

backend/app/extensions/__init__.py

JHowell45/financial-application

9be70692651658f9b0c7e73cd93522e0a579cd98

[ "MIT" ]

null

"""Use this file for importing and creating instances for all of the extensions. This file contains the instances of all of the extensions required for this Flask application. """ from .restplus_extension import api

31

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0.208092

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null

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1

0

1

0

1

0

5

5774ac2a2ae1095d3ad56c8b5bf1e093abc19dea

134

py

Python

image_server/admin.py

spralja/portfolio_website

732d851771b59b8588783eeb53bec5bc788df5d6

[ "MIT" ]

null

image_server/admin.py

spralja/portfolio_website

732d851771b59b8588783eeb53bec5bc788df5d6

[ "MIT" ]

1

2022-03-08T21:55:33.000Z

image_server/admin.py

spralja/portfolio_website

732d851771b59b8588783eeb53bec5bc788df5d6

[ "MIT" ]

null

from django.contrib import admin from .models import Image, ImageBinary admin.site.register(Image) admin.site.register(ImageBinary)

19.142857

38

0.820896

18

134

6.111111

0.555556

0.163636

0.309091

0

0.097015

134

6

39

22.333333

0.909091

0

1

0

true

0

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0.5

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null

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1

0

1

0

null

0

1

0

1

0

5

57c3fbebd3ae8512ae17e05a5a068013f416bdda

187

py

Python

aioredis_benchmarks/bench_config.py

m-novikov/aioredis-benchmarks

9259d9a323821a7423eadaa37957d212fb85731d

[ "MIT" ]

null

aioredis_benchmarks/bench_config.py

m-novikov/aioredis-benchmarks

9259d9a323821a7423eadaa37957d212fb85731d

[ "MIT" ]

null

aioredis_benchmarks/bench_config.py

m-novikov/aioredis-benchmarks

9259d9a323821a7423eadaa37957d212fb85731d

[ "MIT" ]

null

import os max_conn = int(os.environ.get('MAX_CONNECTIONS', 64)) num_iterations = int(os.environ.get('NUM_ITERATIONS', 10000)) url = os.environ.get('REDIS_URL', 'redis://localhost:6379')

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1

0

null

1

0

1

0

null

0

5

57dba3f3d63acd380adc47f78f7145a118c3a41d

24,223

py

Python

pyTaguchi/taguchi.py

rbngpp/pyTaguchi

2370cfa0388604f9a3ebda4896a12c22200212d9

[ "MIT" ]

null

pyTaguchi/taguchi.py

rbngpp/pyTaguchi

2370cfa0388604f9a3ebda4896a12c22200212d9

[ "MIT" ]

null

pyTaguchi/taguchi.py

rbngpp/pyTaguchi

2370cfa0388604f9a3ebda4896a12c22200212d9

[ "MIT" ]

null

from numpy import size, zeros, random import pandas as pd import matplotlib.pyplot as plt class Variable(): def __init__(self, name, values): self.name = str(name) self.values = values self.dof = size(values) # Ref. https://www.itl.nist.gov/div898/handbook/pri/section5/pri56.htm class Taguchi(): def __init__(self): self.variables = [] def add(self, v): name = v["name"] value = v["values"] var = Variable(name,value) self.variables.append(var) def run(self, randomize=False): assert size(self.variables) > 0, "Empty vector" self.FACTORS = size(self.variables) self.LEVELS = self.variables[0].dof self.check_dof() self.generate_design() if randomize == True: self.randomize_runs() self.generate_df() self.generate_plot() def check_dof(self): for variable in self.variables: if variable.dof != self.LEVELS: raise ValueError("Degrees of freedom should be the same!") def generate_design(self): if self.FACTORS == 3 and self.LEVELS == 2: self.design = 'L4' self.OBSERVATIONS = 4 self.design_L4() elif self.FACTORS == 4 and self.LEVELS == 3: self.design = 'L9' self.OBSERVATIONS = 9 self.design_L9() elif self.FACTORS == 5 and self.LEVELS == 4: self.design ='L16b' self.OBSERVATIONS = 16 self.design_L16b() elif self.FACTORS == 7 and self.LEVELS == 2: self.design = 'L8' self.OBSERVATIONS = 8 self.design_L8() elif self.FACTORS == 11 and self.LEVELS == 2: self.design = "L12" self.OBSERVATIONS = 12 self.design_L12() else: raise Exception("Taguchi design not available.") def randomize_runs(self): self.matrix = self.matrix[random.choice(self.matrix.shape[0], self.matrix.shape[0], replace=False)] def generate_df(self): self.columns = [] self.rows = [] index = 0 for variable in self.variables: self.columns.append(variable.name) while index < self.OBSERVATIONS: row = "RUN " + str(index+1) self.rows.append(row) index += 1 self.df = pd.DataFrame(self.matrix, columns = self.columns, index = self.rows) def generate_plot(self): self.fig = plt.figure() ax = self.fig.add_subplot(111) ax.table(cellText = self.df.values, rowLabels = self.df.index, colLabels = self.df.columns, loc = "center", cellLoc="center" ) plot_title = "Taguchi table " + self.design ax.set_title(plot_title) ax.axis("off") plt.show() def design_L4(self): # L4: https://www.itl.nist.gov/div898/software/dataplot/dex/L4.DAT self.matrix = zeros((4,3)) # Row 1 self.matrix[[0],[0]] = self.variables[0].values[0] self.matrix[[0],[1]] = self.variables[1].values[0] self.matrix[[0],[2]] = self.variables[2].values[0] # Row 2 self.matrix[[1],[0]] = self.variables[0].values[0] self.matrix[[1],[1]] = self.variables[1].values[1] self.matrix[[1],[2]] = self.variables[2].values[1] # Row 3 self.matrix[[2],[0]] = self.variables[0].values[1] self.matrix[[2],[1]] = self.variables[1].values[0] self.matrix[[2],[2]] = self.variables[2].values[1] # Row 4 self.matrix[[3],[0]] = self.variables[0].values[1] self.matrix[[3],[1]] = self.variables[1].values[1] self.matrix[[3],[2]] = self.variables[2].values[0] def design_L9(self): # L9: https://www.itl.nist.gov/div898/software/dataplot/dex/L9.DAT self.matrix = zeros((9,4)) # Row 1 : 1,1,1,1 self.matrix[[0],[0]] = self.variables[0].values[0] self.matrix[[0],[1]] = self.variables[1].values[0] self.matrix[[0],[2]] = self.variables[2].values[0] self.matrix[[0],[3]] = self.variables[3].values[0] # Row 2 : 1,2,2,2 self.matrix[[1],[0]] = self.variables[0].values[0] self.matrix[[1],[1]] = self.variables[1].values[1] self.matrix[[1],[2]] = self.variables[2].values[1] self.matrix[[1],[3]] = self.variables[3].values[1] # Row 3 : 1,3,3,3 self.matrix[[2],[0]] = self.variables[0].values[0] self.matrix[[2],[1]] = self.variables[1].values[2] self.matrix[[2],[2]] = self.variables[2].values[2] self.matrix[[2],[3]] = self.variables[3].values[2] # Row 4 : 2,1,2,3 self.matrix[[3],[0]] = self.variables[0].values[1] self.matrix[[3],[1]] = self.variables[1].values[0] self.matrix[[3],[2]] = self.variables[2].values[1] self.matrix[[3],[3]] = self.variables[3].values[2] # Row 5 : 2,2,3,1 self.matrix[[4],[0]] = self.variables[0].values[1] self.matrix[[4],[1]] = self.variables[1].values[1] self.matrix[[4],[2]] = self.variables[2].values[2] self.matrix[[4],[3]] = self.variables[3].values[0] # Row 6 : 2,3,1,2 self.matrix[[5],[0]] = self.variables[0].values[1] self.matrix[[5],[1]] = self.variables[1].values[2] self.matrix[[5],[2]] = self.variables[2].values[0] self.matrix[[5],[3]] = self.variables[3].values[1] # Row 7 : 3,1,3,2 self.matrix[[6],[0]] = self.variables[0].values[2] self.matrix[[6],[1]] = self.variables[1].values[0] self.matrix[[6],[2]] = self.variables[2].values[2] self.matrix[[6],[3]] = self.variables[3].values[1] # Row 8 : 3,2,1,3 self.matrix[[7],[0]] = self.variables[0].values[2] self.matrix[[7],[1]] = self.variables[1].values[1] self.matrix[[7],[2]] = self.variables[2].values[0] self.matrix[[7],[3]] = self.variables[3].values[2] # Row 9 : 3,3,2,1 self.matrix[[8],[0]] = self.variables[0].values[2] self.matrix[[8],[1]] = self.variables[1].values[2] self.matrix[[8],[2]] = self.variables[2].values[1] self.matrix[[8],[3]] = self.variables[3].values[0] def design_L16b(self): # L16b (1): https://www.york.ac.uk/depts/maths/tables/l16b.htm # L16b (2): https://www.itl.nist.gov/div898/software/dataplot/dex/L16B.DAT self.matrix = zeros((16,5)) # Row 1 : 1,1,1,1,1 self.matrix[[0],[0]] = self.variables[0].values[0] self.matrix[[0],[1]] = self.variables[1].values[0] self.matrix[[0],[2]] = self.variables[2].values[0] self.matrix[[0],[3]] = self.variables[3].values[0] self.matrix[[0],[4]] = self.variables[4].values[0] # Row 2 : 1,2,2,2,2 self.matrix[[1],[0]] = self.variables[0].values[0] self.matrix[[1],[1]] = self.variables[1].values[1] self.matrix[[1],[2]] = self.variables[2].values[1] self.matrix[[1],[3]] = self.variables[3].values[1] self.matrix[[1],[4]] = self.variables[4].values[1] # Row 3 : 1,3,3,3,3 self.matrix[[2],[0]] = self.variables[0].values[0] self.matrix[[2],[1]] = self.variables[1].values[2] self.matrix[[2],[2]] = self.variables[2].values[2] self.matrix[[2],[3]] = self.variables[3].values[2] self.matrix[[2],[4]] = self.variables[4].values[2] # Row 4 : 1,4,4,4,4 self.matrix[[3],[0]] = self.variables[0].values[0] self.matrix[[3],[1]] = self.variables[1].values[3] self.matrix[[3],[2]] = self.variables[2].values[3] self.matrix[[3],[3]] = self.variables[3].values[3] self.matrix[[3],[4]] = self.variables[4].values[3] # Row 5 : 2,1,2,3,4 self.matrix[[4],[0]] = self.variables[0].values[1] self.matrix[[4],[1]] = self.variables[1].values[0] self.matrix[[4],[2]] = self.variables[2].values[1] self.matrix[[4],[3]] = self.variables[3].values[2] self.matrix[[4],[4]] = self.variables[4].values[3] # Row 6 : 2,2,1,4,3 self.matrix[[5],[0]] = self.variables[0].values[1] self.matrix[[5],[1]] = self.variables[1].values[1] self.matrix[[5],[2]] = self.variables[2].values[0] self.matrix[[5],[3]] = self.variables[3].values[3] self.matrix[[5],[4]] = self.variables[4].values[2] # Row 7 : 2,3,4,1,2 self.matrix[[6],[0]] = self.variables[0].values[1] self.matrix[[6],[1]] = self.variables[1].values[2] self.matrix[[6],[2]] = self.variables[2].values[3] self.matrix[[6],[3]] = self.variables[3].values[0] self.matrix[[6],[4]] = self.variables[4].values[1] # Row 8 : 2,4,3,2,1 self.matrix[[7],[0]] = self.variables[0].values[1] self.matrix[[7],[1]] = self.variables[1].values[3] self.matrix[[7],[2]] = self.variables[2].values[2] self.matrix[[7],[3]] = self.variables[3].values[1] self.matrix[[7],[4]] = self.variables[4].values[0] # Row 9 : 3,1,3,4,2 self.matrix[[8],[0]] = self.variables[0].values[2] self.matrix[[8],[1]] = self.variables[1].values[0] self.matrix[[8],[2]] = self.variables[2].values[2] self.matrix[[8],[3]] = self.variables[3].values[3] self.matrix[[8],[4]] = self.variables[4].values[1] # Row 10 : 3,2,4,3,1 self.matrix[[9],[0]] = self.variables[0].values[2] self.matrix[[9],[1]] = self.variables[1].values[1] self.matrix[[9],[2]] = self.variables[2].values[3] self.matrix[[9],[3]] = self.variables[3].values[2] self.matrix[[9],[4]] = self.variables[4].values[0] # Row 11 : 3,3,1,2,4 self.matrix[[10],[0]] = self.variables[0].values[2] self.matrix[[10],[1]] = self.variables[1].values[2] self.matrix[[10],[2]] = self.variables[2].values[0] self.matrix[[10],[3]] = self.variables[3].values[1] self.matrix[[10],[4]] = self.variables[4].values[3] # Row 12 : 3,4,2,1,3 self.matrix[[11],[0]] = self.variables[0].values[2] self.matrix[[11],[1]] = self.variables[1].values[3] self.matrix[[11],[2]] = self.variables[2].values[1] self.matrix[[11],[3]] = self.variables[3].values[0] self.matrix[[11],[4]] = self.variables[4].values[2] # Row 13 : 4,1,4,2,3 self.matrix[[12],[0]] = self.variables[0].values[3] self.matrix[[12],[1]] = self.variables[1].values[0] self.matrix[[12],[2]] = self.variables[2].values[3] self.matrix[[12],[3]] = self.variables[3].values[1] self.matrix[[12],[4]] = self.variables[4].values[2] # Row 14 : 4,2,3,1,4 self.matrix[[13],[0]] = self.variables[0].values[3] self.matrix[[13],[1]] = self.variables[1].values[1] self.matrix[[13],[2]] = self.variables[2].values[2] self.matrix[[13],[3]] = self.variables[3].values[0] self.matrix[[13],[4]] = self.variables[4].values[3] # Row 15 : 4,3,2,4,1 self.matrix[[14],[0]] = self.variables[0].values[3] self.matrix[[14],[1]] = self.variables[1].values[2] self.matrix[[14],[2]] = self.variables[2].values[1] self.matrix[[14],[3]] = self.variables[3].values[3] self.matrix[[14],[4]] = self.variables[4].values[0] # Row 16 : 4,4,1,3,2 self.matrix[[15],[0]] = self.variables[0].values[3] self.matrix[[15],[1]] = self.variables[1].values[3] self.matrix[[15],[2]] = self.variables[2].values[0] self.matrix[[15],[3]] = self.variables[3].values[2] self.matrix[[15],[4]] = self.variables[4].values[1] def design_L8(self): # L8: https://www.itl.nist.gov/div898/software/dataplot/dex/L8.DAT self.matrix = zeros((8,7)) # Row 1 : 1,1,1,1,1,1,1 self.matrix[[0],[0]] = self.variables[0].values[0] self.matrix[[0],[1]] = self.variables[1].values[0] self.matrix[[0],[2]] = self.variables[2].values[0] self.matrix[[0],[3]] = self.variables[3].values[0] self.matrix[[0],[4]] = self.variables[4].values[0] self.matrix[[0],[5]] = self.variables[5].values[0] self.matrix[[0],[6]] = self.variables[6].values[0] # Row 2 : 1,1,1,2,2,2,2 self.matrix[[1],[0]] = self.variables[0].values[0] self.matrix[[1],[1]] = self.variables[1].values[0] self.matrix[[1],[2]] = self.variables[2].values[0] self.matrix[[1],[3]] = self.variables[3].values[1] self.matrix[[1],[4]] = self.variables[4].values[1] self.matrix[[1],[5]] = self.variables[5].values[1] self.matrix[[1],[6]] = self.variables[6].values[1] # Row 3 : 1,2,2,1,1,2,2 self.matrix[[2],[0]] = self.variables[0].values[0] self.matrix[[2],[1]] = self.variables[1].values[1] self.matrix[[2],[2]] = self.variables[2].values[1] self.matrix[[2],[3]] = self.variables[3].values[0] self.matrix[[2],[4]] = self.variables[4].values[0] self.matrix[[2],[5]] = self.variables[5].values[1] self.matrix[[2],[6]] = self.variables[6].values[1] # Row 4 : 1,2,2,2,2,1,1 self.matrix[[3],[0]] = self.variables[0].values[0] self.matrix[[3],[1]] = self.variables[1].values[1] self.matrix[[3],[2]] = self.variables[2].values[1] self.matrix[[3],[3]] = self.variables[3].values[1] self.matrix[[3],[4]] = self.variables[4].values[1] self.matrix[[3],[5]] = self.variables[5].values[0] self.matrix[[3],[6]] = self.variables[6].values[0] # Row 5 : 2,1,2,1,2,1,2 self.matrix[[4],[0]] = self.variables[0].values[1] self.matrix[[4],[1]] = self.variables[1].values[0] self.matrix[[4],[2]] = self.variables[2].values[1] self.matrix[[4],[3]] = self.variables[3].values[0] self.matrix[[4],[4]] = self.variables[4].values[1] self.matrix[[4],[5]] = self.variables[5].values[0] self.matrix[[4],[6]] = self.variables[6].values[1] # Row 6 : 2,1,2,2,1,2,1 self.matrix[[5],[0]] = self.variables[0].values[1] self.matrix[[5],[1]] = self.variables[1].values[0] self.matrix[[5],[2]] = self.variables[2].values[1] self.matrix[[5],[3]] = self.variables[3].values[1] self.matrix[[5],[4]] = self.variables[4].values[0] self.matrix[[5],[5]] = self.variables[5].values[1] self.matrix[[5],[6]] = self.variables[6].values[0] # Row 7 : 2,2,1,1,2,2,1 self.matrix[[6],[0]] = self.variables[0].values[1] self.matrix[[6],[1]] = self.variables[1].values[1] self.matrix[[6],[2]] = self.variables[2].values[0] self.matrix[[6],[3]] = self.variables[3].values[0] self.matrix[[6],[4]] = self.variables[4].values[1] self.matrix[[6],[5]] = self.variables[5].values[1] self.matrix[[6],[6]] = self.variables[6].values[0] # Row 8 : 2,2,1,2,1,1,2 self.matrix[[7],[0]] = self.variables[0].values[1] self.matrix[[7],[1]] = self.variables[1].values[1] self.matrix[[7],[2]] = self.variables[2].values[0] self.matrix[[7],[3]] = self.variables[3].values[1] self.matrix[[7],[4]] = self.variables[4].values[0] self.matrix[[7],[5]] = self.variables[5].values[0] self.matrix[[7],[6]] = self.variables[6].values[1] def design_L12(self): # L12: https://www.york.ac.uk/depts/maths/tables/l12.gif self.matrix = zeros((12,11)) # Row 1 : 1,1,1 1,1,1 1,1,1 1,1 self.matrix[[0],[0]] = self.variables[0].values[0] self.matrix[[0],[1]] = self.variables[1].values[0] self.matrix[[0],[2]] = self.variables[2].values[0] self.matrix[[0],[3]] = self.variables[3].values[0] self.matrix[[0],[4]] = self.variables[4].values[0] self.matrix[[0],[5]] = self.variables[5].values[0] self.matrix[[0],[6]] = self.variables[6].values[0] self.matrix[[0],[7]] = self.variables[7].values[0] self.matrix[[0],[8]] = self.variables[8].values[0] self.matrix[[0],[9]] = self.variables[9].values[0] self.matrix[[0],[10]] = self.variables[10].values[0] # Row 2 : 1,1,1 1,1,2 2,2,2 2,2 self.matrix[[1],[0]] = self.variables[0].values[0] self.matrix[[1],[1]] = self.variables[1].values[0] self.matrix[[1],[2]] = self.variables[2].values[0] self.matrix[[1],[3]] = self.variables[3].values[0] self.matrix[[1],[4]] = self.variables[4].values[0] self.matrix[[1],[5]] = self.variables[5].values[1] self.matrix[[1],[6]] = self.variables[6].values[1] self.matrix[[1],[7]] = self.variables[7].values[1] self.matrix[[1],[8]] = self.variables[8].values[1] self.matrix[[1],[9]] = self.variables[9].values[1] self.matrix[[1],[10]] = self.variables[10].values[1] # Row 3 : 1,1,2 2,2,1 1,1,2 2,2 self.matrix[[2],[0]] = self.variables[0].values[0] self.matrix[[2],[1]] = self.variables[1].values[0] self.matrix[[2],[2]] = self.variables[2].values[1] self.matrix[[2],[3]] = self.variables[3].values[1] self.matrix[[2],[4]] = self.variables[4].values[1] self.matrix[[2],[5]] = self.variables[5].values[0] self.matrix[[2],[6]] = self.variables[6].values[0] self.matrix[[2],[7]] = self.variables[7].values[0] self.matrix[[2],[8]] = self.variables[8].values[1] self.matrix[[2],[9]] = self.variables[9].values[1] self.matrix[[2],[10]] = self.variables[10].values[1] # Row 4 : 1,2,1 2,2,1 2,2,1 1,2 self.matrix[[3],[0]] = self.variables[0].values[0] self.matrix[[3],[1]] = self.variables[1].values[1] self.matrix[[3],[2]] = self.variables[2].values[0] self.matrix[[3],[3]] = self.variables[3].values[1] self.matrix[[3],[4]] = self.variables[4].values[1] self.matrix[[3],[5]] = self.variables[5].values[0] self.matrix[[3],[6]] = self.variables[6].values[1] self.matrix[[3],[7]] = self.variables[7].values[1] self.matrix[[3],[8]] = self.variables[8].values[0] self.matrix[[3],[9]] = self.variables[9].values[0] self.matrix[[3],[10]] = self.variables[10].values[1] # Row 5 : 1,2,2 1,2,2 1,2,1 2,1 self.matrix[[4],[0]] = self.variables[0].values[0] self.matrix[[4],[1]] = self.variables[1].values[1] self.matrix[[4],[2]] = self.variables[2].values[1] self.matrix[[4],[3]] = self.variables[3].values[0] self.matrix[[4],[4]] = self.variables[4].values[1] self.matrix[[4],[5]] = self.variables[5].values[1] self.matrix[[4],[6]] = self.variables[6].values[0] self.matrix[[4],[7]] = self.variables[7].values[1] self.matrix[[4],[8]] = self.variables[8].values[0] self.matrix[[4],[9]] = self.variables[9].values[1] self.matrix[[4],[10]] = self.variables[10].values[0] # Row 6 : 1,2,2 2,1,2 2,1,2 1,1 self.matrix[[5],[0]] = self.variables[0].values[0] self.matrix[[5],[1]] = self.variables[1].values[1] self.matrix[[5],[2]] = self.variables[2].values[1] self.matrix[[5],[3]] = self.variables[3].values[1] self.matrix[[5],[4]] = self.variables[4].values[0] self.matrix[[5],[5]] = self.variables[5].values[1] self.matrix[[5],[6]] = self.variables[6].values[1] self.matrix[[5],[7]] = self.variables[7].values[0] self.matrix[[5],[8]] = self.variables[8].values[1] self.matrix[[5],[9]] = self.variables[9].values[0] self.matrix[[5],[10]] = self.variables[10].values[0] # Row 7 : 2,1,2 2,1,1 2,2,1 2,1 self.matrix[[6],[0]] = self.variables[0].values[1] self.matrix[[6],[1]] = self.variables[1].values[0] self.matrix[[6],[2]] = self.variables[2].values[1] self.matrix[[6],[3]] = self.variables[3].values[1] self.matrix[[6],[4]] = self.variables[4].values[0] self.matrix[[6],[5]] = self.variables[5].values[0] self.matrix[[6],[6]] = self.variables[6].values[1] self.matrix[[6],[7]] = self.variables[7].values[1] self.matrix[[6],[8]] = self.variables[8].values[0] self.matrix[[6],[9]] = self.variables[9].values[1] self.matrix[[6],[10]] = self.variables[10].values[0] # Row 8 : 2,1,2 1,2,2 2,1,1 1,2 self.matrix[[7],[0]] = self.variables[0].values[1] self.matrix[[7],[1]] = self.variables[1].values[0] self.matrix[[7],[2]] = self.variables[2].values[1] self.matrix[[7],[3]] = self.variables[3].values[0] self.matrix[[7],[4]] = self.variables[4].values[1] self.matrix[[7],[5]] = self.variables[5].values[1] self.matrix[[7],[6]] = self.variables[6].values[1] self.matrix[[7],[7]] = self.variables[7].values[0] self.matrix[[7],[8]] = self.variables[8].values[0] self.matrix[[7],[9]] = self.variables[9].values[0] self.matrix[[7],[10]] = self.variables[10].values[1] # Row 9 : 2,1,1 2,2,2 1,2,2 1,1 self.matrix[[8],[0]] = self.variables[0].values[1] self.matrix[[8],[1]] = self.variables[1].values[0] self.matrix[[8],[2]] = self.variables[2].values[0] self.matrix[[8],[3]] = self.variables[3].values[1] self.matrix[[8],[4]] = self.variables[4].values[1] self.matrix[[8],[5]] = self.variables[5].values[1] self.matrix[[8],[6]] = self.variables[6].values[0] self.matrix[[8],[7]] = self.variables[7].values[1] self.matrix[[8],[8]] = self.variables[8].values[1] self.matrix[[8],[9]] = self.variables[9].values[0] self.matrix[[8],[10]] = self.variables[10].values[0] # Row 10 : 2,2,2 1,1,1 1,2,2 1,2 self.matrix[[9],[0]] = self.variables[0].values[1] self.matrix[[9],[1]] = self.variables[1].values[1] self.matrix[[9],[2]] = self.variables[2].values[1] self.matrix[[9],[3]] = self.variables[3].values[0] self.matrix[[9],[4]] = self.variables[4].values[0] self.matrix[[9],[5]] = self.variables[5].values[0] self.matrix[[9],[6]] = self.variables[6].values[0] self.matrix[[9],[7]] = self.variables[7].values[1] self.matrix[[9],[8]] = self.variables[8].values[1] self.matrix[[9],[9]] = self.variables[9].values[0] self.matrix[[9],[10]] = self.variables[10].values[1] # Row 11 : 2,2,1 2,1,2 1,1,1 2,2 self.matrix[[10],[0]] = self.variables[0].values[1] self.matrix[[10],[1]] = self.variables[1].values[1] self.matrix[[10],[2]] = self.variables[2].values[0] self.matrix[[10],[3]] = self.variables[3].values[1] self.matrix[[10],[4]] = self.variables[4].values[0] self.matrix[[10],[5]] = self.variables[5].values[1] self.matrix[[10],[6]] = self.variables[6].values[0] self.matrix[[10],[7]] = self.variables[7].values[0] self.matrix[[10],[8]] = self.variables[8].values[0] self.matrix[[10],[9]] = self.variables[9].values[1] self.matrix[[10],[10]] = self.variables[10].values[1] # Row 12 : 2,2,1 1,2,1 2,1,2 2,1 self.matrix[[11],[0]] = self.variables[0].values[1] self.matrix[[11],[1]] = self.variables[1].values[1] self.matrix[[11],[2]] = self.variables[2].values[0] self.matrix[[11],[3]] = self.variables[3].values[0] self.matrix[[11],[4]] = self.variables[4].values[1] self.matrix[[11],[5]] = self.variables[5].values[0] self.matrix[[11],[6]] = self.variables[6].values[1] self.matrix[[11],[7]] = self.variables[7].values[0] self.matrix[[11],[8]] = self.variables[8].values[1] self.matrix[[11],[9]] = self.variables[9].values[1] self.matrix[[11],[10]] = self.variables[10].values[0]

50.995789

107

0.540478

3,708

24,223

3.522114

0.036138

0.249617

0.110337

0.14709

0.860184

0.846861

0.83193

0.793032

0.505283

0.455743

0

0.096847

0.231433

24,223

475

108

50.995789

0.604662

0.065021

0

0.385185

0

0.005976

0

0.002469

1

0.034568

false

0

0.007407

0

0.046914

0

null

1

0

1

0

null

0

5

aa45e83b68d1edaf352a6f1afd2efbd32cd58ee7

146

py

Python

interview_kernel/__init__.py

MathHubInfo/MoSIS_Jupyter_Kernel

a8764c648a2242edf2d88a7558966d4f3edba360

[ "MIT" ]

1

2019-03-17T19:01:25.000Z

interview_kernel/__init__.py

MathHubInfo/MoSIS_Jupyter_Kernel

a8764c648a2242edf2d88a7558966d4f3edba360

[ "MIT" ]

2

2018-05-14T11:05:14.000Z

2018-07-09T17:20:14.000Z

interview_kernel/__init__.py

MathHubInfo/MoSIS_Jupyter_Kernel

a8764c648a2242edf2d88a7558966d4f3edba360

[ "MIT" ]

null

from . import string_handling, mmtinterface, exaoutput, pde_state_machine #from .interview_kernel import Interview from . import interview_kernel

36.5

73

0.849315

18

146

6.611111

0.611111

0.168067

0

0.10274

146

3

74

48.666667

0.908397

0.267123

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a4bab93e456e1075ceae1972e3dcf56cac2059fb

328,630

py

Python

venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortios/plugins/modules/fortios_wireless_controller_vap.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

1

2020-01-22T13:11:23.000Z

venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortios/plugins/modules/fortios_wireless_controller_vap.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

12

2020-02-21T07:24:52.000Z

2020-04-14T09:54:32.000Z

venv/lib/python3.6/site-packages/ansible_collections/fortinet/fortios/plugins/modules/fortios_wireless_controller_vap.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

null

#!/usr/bin/python from __future__ import (absolute_import, division, print_function) # Copyright 2019-2020 Fortinet, Inc. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # 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 # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <https://www.gnu.org/licenses/>. __metaclass__ = type ANSIBLE_METADATA = {'status': ['preview'], 'supported_by': 'community', 'metadata_version': '1.1'} DOCUMENTATION = ''' --- module: fortios_wireless_controller_vap short_description: Configure Virtual Access Points (VAPs) in Fortinet's FortiOS and FortiGate. description: - This module is able to configure a FortiGate or FortiOS (FOS) device by allowing the user to set and modify wireless_controller feature and vap category. Examples include all parameters and values need to be adjusted to datasources before usage. Tested with FOS v6.0.0 version_added: "2.10" author: - Link Zheng (@chillancezen) - Jie Xue (@JieX19) - Hongbin Lu (@fgtdev-hblu) - Frank Shen (@frankshen01) - Miguel Angel Munoz (@mamunozgonzalez) - Nicolas Thomas (@thomnico) notes: - Legacy fortiosapi has been deprecated, httpapi is the preferred way to run playbooks requirements: - ansible>=2.9.0 options: access_token: description: - Token-based authentication. Generated from GUI of Fortigate. type: str required: false enable_log: description: - Enable/Disable logging for task. type: bool required: false default: false vdom: description: - Virtual domain, among those defined previously. A vdom is a virtual instance of the FortiGate that can be configured and used as a different unit. type: str default: root member_path: type: str description: - Member attribute path to operate on. - Delimited by a slash character if there are more than one attribute. - Parameter marked with member_path is legitimate for doing member operation. member_state: type: str description: - Add or delete a member under specified attribute path. - When member_state is specified, the state option is ignored. choices: - present - absent state: description: - Indicates whether to create or remove the object. type: str required: true choices: - present - absent wireless_controller_vap: description: - Configure Virtual Access Points (VAPs). default: null type: dict suboptions: access_control_list: description: - access-control-list profile name. Source wireless-controller.access-control-list.name. type: str acct_interim_interval: description: - WiFi RADIUS accounting interim interval (60 - 86400 sec). type: int additional_akms: description: - Additional AKMs. type: list choices: - akm6 address_group: description: - Address group ID. Source wireless-controller.addrgrp.id. type: str alias: description: - Alias. type: str antivirus_profile: description: - AntiVirus profile name. Source antivirus.profile.name. type: str application_list: description: - Application control list name. Source application.list.name. type: str atf_weight: description: - Airtime weight in percentage . type: int auth: description: - Authentication protocol. type: str choices: - psk - radius - usergroup broadcast_ssid: description: - Enable/disable broadcasting the SSID . type: str choices: - enable - disable broadcast_suppression: description: - Optional suppression of broadcast messages. For example, you can keep DHCP messages, ARP broadcasts, and so on off of the wireless network. type: list choices: - dhcp-up - dhcp-down - dhcp-starvation - arp-known - arp-unknown - arp-reply - arp-poison - arp-proxy - netbios-ns - netbios-ds - ipv6 - all-other-mc - all-other-bc - dhcp-ucast bss_color_partial: description: - Enable/disable 802.11ax partial BSS color . type: str choices: - enable - disable bstm_disassociation_imminent: description: - Enable/disable forcing of disassociation after the BSTM request timer has been reached . type: str choices: - enable - disable bstm_load_balancing_disassoc_timer: description: - Time interval for client to voluntarily leave AP before forcing a disassociation due to AP load-balancing (0 to 30). type: int bstm_rssi_disassoc_timer: description: - Time interval for client to voluntarily leave AP before forcing a disassociation due to low RSSI (0 to 2000). type: int captive_portal_ac_name: description: - Local-bridging captive portal ac-name. type: str captive_portal_auth_timeout: description: - Hard timeout - AP will always clear the session after timeout regardless of traffic (0 - 864000 sec). type: int captive_portal_macauth_radius_secret: description: - Secret key to access the macauth RADIUS server. type: str captive_portal_macauth_radius_server: description: - Captive portal external RADIUS server domain name or IP address. type: str captive_portal_radius_secret: description: - Secret key to access the RADIUS server. type: str captive_portal_radius_server: description: - Captive portal RADIUS server domain name or IP address. type: str captive_portal_session_timeout_interval: description: - Session timeout interval (0 - 864000 sec). type: int dhcp_address_enforcement: description: - Enable/disable DHCP address enforcement . type: str choices: - enable - disable dhcp_lease_time: description: - DHCP lease time in seconds for NAT IP address. type: int dhcp_option43_insertion: description: - Enable/disable insertion of DHCP option 43 . type: str choices: - enable - disable dhcp_option82_circuit_id_insertion: description: - Enable/disable DHCP option 82 circuit-id insert . type: str choices: - style-1 - style-2 - disable - style-3 dhcp_option82_insertion: description: - Enable/disable DHCP option 82 insert . type: str choices: - enable - disable dhcp_option82_remote_id_insertion: description: - Enable/disable DHCP option 82 remote-id insert . type: str choices: - style-1 - disable dynamic_vlan: description: - Enable/disable dynamic VLAN assignment. type: str choices: - enable - disable eap_reauth: description: - Enable/disable EAP re-authentication for WPA-Enterprise security. type: str choices: - enable - disable eap_reauth_intv: description: - EAP re-authentication interval (1800 - 864000 sec). type: int eapol_key_retries: description: - Enable/disable retransmission of EAPOL-Key frames (message 3/4 and group message 1/2) . type: str choices: - disable - enable encrypt: description: - Encryption protocol to use (only available when security is set to a WPA type). type: str choices: - TKIP - AES - TKIP-AES external_fast_roaming: description: - Enable/disable fast roaming or pre-authentication with external APs not managed by the FortiGate . type: str choices: - enable - disable external_logout: description: - URL of external authentication logout server. type: str external_web: description: - URL of external authentication web server. type: str external_web_format: description: - URL query parameter detection . type: str choices: - auto-detect - no-query-string - partial-query-string fast_bss_transition: description: - Enable/disable 802.11r Fast BSS Transition (FT) . type: str choices: - disable - enable fast_roaming: description: - Enable/disable fast-roaming, or pre-authentication, where supported by clients . type: str choices: - enable - disable ft_mobility_domain: description: - Mobility domain identifier in FT (1 - 65535). type: int ft_over_ds: description: - Enable/disable FT over the Distribution System (DS). type: str choices: - disable - enable ft_r0_key_lifetime: description: - Lifetime of the PMK-R0 key in FT, 1-65535 minutes. type: int gas_comeback_delay: description: - GAS comeback delay (0 or 100 - 10000 milliseconds). type: int gas_fragmentation_limit: description: - GAS fragmentation limit (512 - 4096). type: int gtk_rekey: description: - Enable/disable GTK rekey for WPA security. type: str choices: - enable - disable gtk_rekey_intv: description: - GTK rekey interval (1800 - 864000 sec). type: int high_efficiency: description: - Enable/disable 802.11ax high efficiency . type: str choices: - enable - disable hotspot20_profile: description: - Hotspot 2.0 profile name. Source wireless-controller.hotspot20.hs-profile.name. type: str igmp_snooping: description: - Enable/disable IGMP snooping. type: str choices: - enable - disable intra_vap_privacy: description: - Enable/disable blocking communication between clients on the same SSID (called intra-SSID privacy) . type: str choices: - enable - disable ip: description: - IP address and subnet mask for the local standalone NAT subnet. type: str ips_sensor: description: - IPS sensor name. Source ips.sensor.name. type: str ipv6_rules: description: - Optional rules of IPv6 packets. For example, you can keep RA, RS and so on off of the wireless network. type: list choices: - drop-icmp6ra - drop-icmp6rs - drop-llmnr6 - drop-icmp6mld2 - drop-dhcp6s - drop-dhcp6c - ndp-proxy - drop-ns-dad - drop-ns-nondad key: description: - WEP Key. type: str keyindex: description: - WEP key index (1 - 4). type: int ldpc: description: - VAP low-density parity-check (LDPC) coding configuration. type: str choices: - disable - rx - tx - rxtx local_authentication: description: - Enable/disable AP local authentication. type: str choices: - enable - disable local_bridging: description: - Enable/disable bridging of wireless and Ethernet interfaces on the FortiAP . type: str choices: - enable - disable local_lan: description: - Allow/deny traffic destined for a Class A, B, or C private IP address . type: str choices: - allow - deny local_standalone: description: - Enable/disable AP local standalone . type: str choices: - enable - disable local_standalone_dns: description: - Enable/disable AP local standalone DNS. type: str choices: - enable - disable local_standalone_dns_ip: description: - IPv4 addresses for the local standalone DNS. type: str local_standalone_nat: description: - Enable/disable AP local standalone NAT mode. type: str choices: - enable - disable mac_auth_bypass: description: - Enable/disable MAC authentication bypass. type: str choices: - enable - disable mac_called_station_delimiter: description: - MAC called station delimiter . type: str choices: - hyphen - single-hyphen - colon - none mac_calling_station_delimiter: description: - MAC calling station delimiter . type: str choices: - hyphen - single-hyphen - colon - none mac_case: description: - MAC case . type: str choices: - uppercase - lowercase mac_filter: description: - Enable/disable MAC filtering to block wireless clients by mac address. type: str choices: - enable - disable mac_filter_list: description: - Create a list of MAC addresses for MAC address filtering. type: list suboptions: id: description: - ID. required: true type: int mac: description: - MAC address. type: str mac_filter_policy: description: - Deny or allow the client with this MAC address. type: str choices: - allow - deny mac_filter_policy_other: description: - Allow or block clients with MAC addresses that are not in the filter list. type: str choices: - allow - deny mac_password_delimiter: description: - MAC authentication password delimiter . type: str choices: - hyphen - single-hyphen - colon - none mac_username_delimiter: description: - MAC authentication username delimiter . type: str choices: - hyphen - single-hyphen - colon - none max_clients: description: - Maximum number of clients that can connect simultaneously to the VAP . type: int max_clients_ap: description: - Maximum number of clients that can connect simultaneously to each radio . type: int mbo: description: - Enable/disable Multiband Operation . type: str choices: - disable - enable mbo_cell_data_conn_pref: description: - MBO cell data connection preference (0, 1, or 255). type: str choices: - excluded - prefer-not - prefer-use me_disable_thresh: description: - Disable multicast enhancement when this many clients are receiving multicast traffic. type: int mesh_backhaul: description: - Enable/disable using this VAP as a WiFi mesh backhaul . This entry is only available when security is set to a WPA type or open. type: str choices: - enable - disable mpsk: description: - Enable/disable multiple pre-shared keys (PSKs.) type: str choices: - enable - disable mpsk_concurrent_clients: description: - Number of pre-shared keys (PSKs) to allow if multiple pre-shared keys are enabled. type: int mpsk_key: description: - Pre-shared keys that can be used to connect to this virtual access point. type: list suboptions: comment: description: - Comment. type: str concurrent_clients: description: - Number of clients that can connect using this pre-shared key. type: str key_name: description: - Pre-shared key name. type: str mpsk_schedules: description: - Firewall schedule for MPSK passphrase. The passphrase will be effective only when at least one schedule is valid. type: list suboptions: name: description: - Schedule name. Source firewall.schedule.group.name firewall.schedule.recurring.name firewall.schedule.onetime.name. required: true type: str passphrase: description: - WPA Pre-shared key. type: str mpsk_profile: description: - MPSK profile name. Source wireless-controller.mpsk-profile.name. type: str mu_mimo: description: - Enable/disable Multi-user MIMO . type: str choices: - enable - disable multicast_enhance: description: - Enable/disable converting multicast to unicast to improve performance . type: str choices: - enable - disable multicast_rate: description: - Multicast rate (0, 6000, 12000, or 24000 kbps). type: str choices: - 0 - 6000 - 12000 - 24000 nac: description: - Enable/disable network access control. type: str choices: - enable - disable nac_profile: description: - NAC profile name. Source wireless-controller.nac-profile.name. type: str name: description: - Virtual AP name. required: true type: str neighbor_report_dual_band: description: - Enable/disable dual-band neighbor report . type: str choices: - disable - enable okc: description: - Enable/disable Opportunistic Key Caching (OKC) . type: str choices: - disable - enable owe_groups: description: - OWE-Groups. type: list choices: - 19 - 20 - 21 owe_transition: description: - Enable/disable OWE transition mode support. type: str choices: - disable - enable owe_transition_ssid: description: - OWE transition mode peer SSID. type: str passphrase: description: - WPA pre-shard key (PSK) to be used to authenticate WiFi users. type: str pmf: description: - Protected Management Frames (PMF) support . type: str choices: - disable - enable - optional pmf_assoc_comeback_timeout: description: - Protected Management Frames (PMF) comeback maximum timeout (1-20 sec). type: int pmf_sa_query_retry_timeout: description: - Protected Management Frames (PMF) SA query retry timeout interval (1 - 5 100s of msec). type: int port_macauth: description: - Enable/disable LAN port MAC authentication . type: str choices: - disable - radius - address-group port_macauth_reauth_timeout: description: - LAN port MAC authentication re-authentication timeout value . type: int port_macauth_timeout: description: - LAN port MAC authentication idle timeout value . type: int portal_message_override_group: description: - Replacement message group for this VAP (only available when security is set to a captive portal type). Source system.replacemsg-group .name. type: str portal_message_overrides: description: - Individual message overrides. type: dict suboptions: auth_disclaimer_page: description: - Override auth-disclaimer-page message with message from portal-message-overrides group. type: str auth_login_failed_page: description: - Override auth-login-failed-page message with message from portal-message-overrides group. type: str auth_login_page: description: - Override auth-login-page message with message from portal-message-overrides group. type: str auth_reject_page: description: - Override auth-reject-page message with message from portal-message-overrides group. type: str portal_type: description: - Captive portal functionality. Configure how the captive portal authenticates users and whether it includes a disclaimer. type: str choices: - auth - auth+disclaimer - disclaimer - email-collect - cmcc - cmcc-macauth - auth-mac - external-auth - external-macauth primary_wag_profile: description: - Primary wireless access gateway profile name. Source wireless-controller.wag-profile.name. type: str probe_resp_suppression: description: - Enable/disable probe response suppression (to ignore weak signals) . type: str choices: - enable - disable probe_resp_threshold: description: - Minimum signal level/threshold in dBm required for the AP response to probe requests (-95 to -20). type: str ptk_rekey: description: - Enable/disable PTK rekey for WPA-Enterprise security. type: str choices: - enable - disable ptk_rekey_intv: description: - PTK rekey interval (1800 - 864000 sec). type: int qos_profile: description: - Quality of service profile name. Source wireless-controller.qos-profile.name. type: str quarantine: description: - Enable/disable station quarantine . type: str choices: - enable - disable radio_2g_threshold: description: - Minimum signal level/threshold in dBm required for the AP response to receive a packet in 2.4G band (-95 to -20). type: str radio_5g_threshold: description: - Minimum signal level/threshold in dBm required for the AP response to receive a packet in 5G band(-95 to -20). type: str radio_sensitivity: description: - Enable/disable software radio sensitivity (to ignore weak signals) . type: str choices: - enable - disable radius_mac_auth: description: - Enable/disable RADIUS-based MAC authentication of clients . type: str choices: - enable - disable radius_mac_auth_server: description: - RADIUS-based MAC authentication server. Source user.radius.name. type: str radius_mac_auth_usergroups: description: - Selective user groups that are permitted for RADIUS mac authentication. type: list suboptions: name: description: - User group name. required: true type: str radius_server: description: - RADIUS server to be used to authenticate WiFi users. Source user.radius.name. type: str rates_11a: description: - Allowed data rates for 802.11a. type: list choices: - 1 - 1-basic - 2 - 2-basic - 5.5 - 5.5-basic - 11 - 11-basic - 6 - 6-basic - 9 - 9-basic - 12 - 12-basic - 18 - 18-basic - 24 - 24-basic - 36 - 36-basic - 48 - 48-basic - 54 - 54-basic rates_11ac_ss12: description: - Allowed data rates for 802.11ac with 1 or 2 spatial streams. type: list choices: - mcs0/1 - mcs1/1 - mcs2/1 - mcs3/1 - mcs4/1 - mcs5/1 - mcs6/1 - mcs7/1 - mcs8/1 - mcs9/1 - mcs10/1 - mcs11/1 - mcs0/2 - mcs1/2 - mcs2/2 - mcs3/2 - mcs4/2 - mcs5/2 - mcs6/2 - mcs7/2 - mcs8/2 - mcs9/2 - mcs10/2 - mcs11/2 rates_11ac_ss34: description: - Allowed data rates for 802.11ac with 3 or 4 spatial streams. type: list choices: - mcs0/3 - mcs1/3 - mcs2/3 - mcs3/3 - mcs4/3 - mcs5/3 - mcs6/3 - mcs7/3 - mcs8/3 - mcs9/3 - mcs10/3 - mcs11/3 - mcs0/4 - mcs1/4 - mcs2/4 - mcs3/4 - mcs4/4 - mcs5/4 - mcs6/4 - mcs7/4 - mcs8/4 - mcs9/4 - mcs10/4 - mcs11/4 rates_11bg: description: - Allowed data rates for 802.11b/g. type: list choices: - 1 - 1-basic - 2 - 2-basic - 5.5 - 5.5-basic - 11 - 11-basic - 6 - 6-basic - 9 - 9-basic - 12 - 12-basic - 18 - 18-basic - 24 - 24-basic - 36 - 36-basic - 48 - 48-basic - 54 - 54-basic rates_11n_ss12: description: - Allowed data rates for 802.11n with 1 or 2 spatial streams. type: list choices: - mcs0/1 - mcs1/1 - mcs2/1 - mcs3/1 - mcs4/1 - mcs5/1 - mcs6/1 - mcs7/1 - mcs8/2 - mcs9/2 - mcs10/2 - mcs11/2 - mcs12/2 - mcs13/2 - mcs14/2 - mcs15/2 rates_11n_ss34: description: - Allowed data rates for 802.11n with 3 or 4 spatial streams. type: list choices: - mcs16/3 - mcs17/3 - mcs18/3 - mcs19/3 - mcs20/3 - mcs21/3 - mcs22/3 - mcs23/3 - mcs24/4 - mcs25/4 - mcs26/4 - mcs27/4 - mcs28/4 - mcs29/4 - mcs30/4 - mcs31/4 sae_groups: description: - SAE-Groups. type: list choices: - 19 - 20 - 21 - 1 - 2 - 5 - 14 - 15 - 16 - 17 - 18 - 27 - 28 - 29 - 30 - 31 sae_password: description: - WPA3 SAE password to be used to authenticate WiFi users. type: str scan_botnet_connections: description: - Block or monitor connections to Botnet servers or disable Botnet scanning. type: str choices: - disable - monitor - block schedule: description: - VAP schedule name. type: str secondary_wag_profile: description: - Secondary wireless access gateway profile name. Source wireless-controller.wag-profile.name. type: str security: description: - Security mode for the wireless interface . type: str choices: - open - captive-portal - wep64 - wep128 - wpa-personal - wpa-personal+captive-portal - wpa-enterprise - wpa-only-personal - wpa-only-personal+captive-portal - wpa-only-enterprise - wpa2-only-personal - wpa2-only-personal+captive-portal - wpa2-only-enterprise - osen - wpa3-enterprise - wpa3-sae - wpa3-sae-transition - owe - wpa3-only-enterprise - wpa3-enterprise-transition security_exempt_list: description: - Optional security exempt list for captive portal authentication. Source user.security-exempt-list.name. type: str security_obsolete_option: description: - Enable/disable obsolete security options. type: str choices: - enable - disable security_redirect_url: description: - Optional URL for redirecting users after they pass captive portal authentication. type: str selected_usergroups: description: - Selective user groups that are permitted to authenticate. type: list suboptions: name: description: - User group name. Source user.group.name. required: true type: str split_tunneling: description: - Enable/disable split tunneling . type: str choices: - enable - disable ssid: description: - IEEE 802.11 service set identifier (SSID) for the wireless interface. Users who wish to use the wireless network must configure their computers to access this SSID name. type: str sticky_client_remove: description: - Enable/disable sticky client remove to maintain good signal level clients in SSID. . type: str choices: - enable - disable sticky_client_threshold_2g: description: - Minimum signal level/threshold in dBm required for the 2G client to be serviced by the AP (-95 to -20). type: str sticky_client_threshold_5g: description: - Minimum signal level/threshold in dBm required for the 5G client to be serviced by the AP (-95 to -20). type: str target_wake_time: description: - Enable/disable 802.11ax target wake time . type: str choices: - enable - disable tkip_counter_measure: description: - Enable/disable TKIP counter measure. type: str choices: - enable - disable tunnel_echo_interval: description: - The time interval to send echo to both primary and secondary tunnel peers (1 - 65535 sec). type: int tunnel_fallback_interval: description: - The time interval for secondary tunnel to fall back to primary tunnel (0 - 65535 sec). type: int usergroup: description: - Firewall user group to be used to authenticate WiFi users. type: list suboptions: name: description: - User group name. Source user.group.name. required: true type: str utm_log: description: - Enable/disable UTM logging. type: str choices: - enable - disable utm_profile: description: - UTM profile name. Source wireless-controller.utm-profile.name. type: str utm_status: description: - Enable to add one or more security profiles (AV, IPS, etc.) to the VAP. type: str choices: - enable - disable vdom: description: - Name of the VDOM that the Virtual AP has been added to. Source system.vdom.name. type: str vlan_auto: description: - Enable/disable automatic management of SSID VLAN interface. type: str choices: - enable - disable vlan_pool: description: - VLAN pool. type: list suboptions: id: description: - ID. required: true type: int wtp_group: description: - WTP group name. Source wireless-controller.wtp-group.name. type: str vlan_pooling: description: - Enable/disable VLAN pooling, to allow grouping of multiple wireless controller VLANs into VLAN pools . When set to wtp-group, VLAN pooling occurs with VLAN assignment by wtp-group. type: str choices: - wtp-group - round-robin - hash - disable vlanid: description: - Optional VLAN ID. type: int voice_enterprise: description: - Enable/disable 802.11k and 802.11v assisted Voice-Enterprise roaming . type: str choices: - disable - enable webfilter_profile: description: - WebFilter profile name. Source webfilter.profile.name. type: str ''' EXAMPLES = ''' - collections: - fortinet.fortios connection: httpapi hosts: fortigate01 vars: ansible_httpapi_port: 443 ansible_httpapi_use_ssl: true ansible_httpapi_validate_certs: false vdom: root tasks: - name: fortios_wireless_controller_vap fortios_wireless_controller_vap: vdom: root state: present wireless_controller_vap: acct_interim_interval: 0 atf_weight: 20 auth: psk broadcast_ssid: enable broadcast_suppression: dhcp-up bss_color_partial: enable captive_portal_auth_timeout: 0 captive_portal_session_timeout_interval: 0 dhcp_lease_time: 2400 dhcp_option43_insertion: enable dhcp_option82_circuit_id_insertion: disable dhcp_option82_insertion: disable dhcp_option82_remote_id_insertion: disable dynamic_vlan: disable eap_reauth: disable eap_reauth_intv: 86400 eapol_key_retries: enable encrypt: AES external_fast_roaming: disable external_web_format: auto-detect fast_bss_transition: disable fast_roaming: enable ft_mobility_domain: 1000 ft_over_ds: enable ft_r0_key_lifetime: 480 gtk_rekey: disable gtk_rekey_intv: 86400 high_efficiency: enable igmp_snooping: disable intra_vap_privacy: disable ip: 0.0.0.0 0.0.0.0 ipv6_rules: drop-icmp6ra keyindex: 1 ldpc: rxtx local_authentication: disable local_bridging: disable local_lan: allow local_standalone: disable local_standalone_nat: disable mac_auth_bypass: disable mac_filter: disable mac_filter_policy_other: allow max_clients: 0 max_clients_ap: 0 me_disable_thresh: 32 mesh_backhaul: disable mpsk_concurrent_clients: 0 mu_mimo: enable multicast_enhance: disable multicast_rate: '0' name: terr-test okc: enable owe_transition: disable passphrase: fortinet-pass pmf: disable pmf_assoc_comeback_timeout: 1 pmf_sa_query_retry_timeout: 2 port_macauth: disable port_macauth_reauth_timeout: 7200 port_macauth_timeout: 600 portal_type: auth probe_resp_suppression: disable probe_resp_threshold: '-80' ptk_rekey: disable ptk_rekey_intv: 86400 quarantine: enable radio_2g_threshold: '-79' radio_5g_threshold: '-76' radio_sensitivity: disable radius_mac_auth: disable security: wpa2-only-personal security_obsolete_option: disable split_tunneling: disable ssid: fortinet sticky_client_remove: disable sticky_client_threshold_2g: '-79' sticky_client_threshold_5g: '-76' target_wake_time: enable tkip_counter_measure: enable tunnel_echo_interval: 300 tunnel_fallback_interval: 7200 vdom: root vlan_auto: disable vlan_pooling: disable vlanid: 0 voice_enterprise: disable ''' RETURN = ''' build: description: Build number of the fortigate image returned: always type: str sample: '1547' http_method: description: Last method used to provision the content into FortiGate returned: always type: str sample: 'PUT' http_status: description: Last result given by FortiGate on last operation applied returned: always type: str sample: "200" mkey: description: Master key (id) used in the last call to FortiGate returned: success type: str sample: "id" name: description: Name of the table used to fulfill the request returned: always type: str sample: "urlfilter" path: description: Path of the table used to fulfill the request returned: always type: str sample: "webfilter" revision: description: Internal revision number returned: always type: str sample: "17.0.2.10658" serial: description: Serial number of the unit returned: always type: str sample: "FGVMEVYYQT3AB5352" status: description: Indication of the operation's result returned: always type: str sample: "success" vdom: description: Virtual domain used returned: always type: str sample: "root" version: description: Version of the FortiGate returned: always type: str sample: "v5.6.3" ''' from ansible.module_utils.basic import AnsibleModule from ansible.module_utils.connection import Connection from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.fortios import FortiOSHandler from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.fortios import check_legacy_fortiosapi from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.fortios import schema_to_module_spec from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.fortios import check_schema_versioning from ansible_collections.fortinet.fortios.plugins.module_utils.fortimanager.common import FAIL_SOCKET_MSG from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.comparison import is_same_comparison from ansible_collections.fortinet.fortios.plugins.module_utils.fortios.comparison import serialize def filter_wireless_controller_vap_data(json): option_list = ['access_control_list', 'acct_interim_interval', 'additional_akms', 'address_group', 'alias', 'antivirus_profile', 'application_list', 'atf_weight', 'auth', 'broadcast_ssid', 'broadcast_suppression', 'bss_color_partial', 'bstm_disassociation_imminent', 'bstm_load_balancing_disassoc_timer', 'bstm_rssi_disassoc_timer', 'captive_portal_ac_name', 'captive_portal_auth_timeout', 'captive_portal_macauth_radius_secret', 'captive_portal_macauth_radius_server', 'captive_portal_radius_secret', 'captive_portal_radius_server', 'captive_portal_session_timeout_interval', 'dhcp_address_enforcement', 'dhcp_lease_time', 'dhcp_option43_insertion', 'dhcp_option82_circuit_id_insertion', 'dhcp_option82_insertion', 'dhcp_option82_remote_id_insertion', 'dynamic_vlan', 'eap_reauth', 'eap_reauth_intv', 'eapol_key_retries', 'encrypt', 'external_fast_roaming', 'external_logout', 'external_web', 'external_web_format', 'fast_bss_transition', 'fast_roaming', 'ft_mobility_domain', 'ft_over_ds', 'ft_r0_key_lifetime', 'gas_comeback_delay', 'gas_fragmentation_limit', 'gtk_rekey', 'gtk_rekey_intv', 'high_efficiency', 'hotspot20_profile', 'igmp_snooping', 'intra_vap_privacy', 'ip', 'ips_sensor', 'ipv6_rules', 'key', 'keyindex', 'ldpc', 'local_authentication', 'local_bridging', 'local_lan', 'local_standalone', 'local_standalone_dns', 'local_standalone_dns_ip', 'local_standalone_nat', 'mac_auth_bypass', 'mac_called_station_delimiter', 'mac_calling_station_delimiter', 'mac_case', 'mac_filter', 'mac_filter_list', 'mac_filter_policy_other', 'mac_password_delimiter', 'mac_username_delimiter', 'max_clients', 'max_clients_ap', 'mbo', 'mbo_cell_data_conn_pref', 'me_disable_thresh', 'mesh_backhaul', 'mpsk', 'mpsk_concurrent_clients', 'mpsk_key', 'mpsk_profile', 'mu_mimo', 'multicast_enhance', 'multicast_rate', 'nac', 'nac_profile', 'name', 'neighbor_report_dual_band', 'okc', 'owe_groups', 'owe_transition', 'owe_transition_ssid', 'passphrase', 'pmf', 'pmf_assoc_comeback_timeout', 'pmf_sa_query_retry_timeout', 'port_macauth', 'port_macauth_reauth_timeout', 'port_macauth_timeout', 'portal_message_override_group', 'portal_message_overrides', 'portal_type', 'primary_wag_profile', 'probe_resp_suppression', 'probe_resp_threshold', 'ptk_rekey', 'ptk_rekey_intv', 'qos_profile', 'quarantine', 'radio_2g_threshold', 'radio_5g_threshold', 'radio_sensitivity', 'radius_mac_auth', 'radius_mac_auth_server', 'radius_mac_auth_usergroups', 'radius_server', 'rates_11a', 'rates_11ac_ss12', 'rates_11ac_ss34', 'rates_11bg', 'rates_11n_ss12', 'rates_11n_ss34', 'sae_groups', 'sae_password', 'scan_botnet_connections', 'schedule', 'secondary_wag_profile', 'security', 'security_exempt_list', 'security_obsolete_option', 'security_redirect_url', 'selected_usergroups', 'split_tunneling', 'ssid', 'sticky_client_remove', 'sticky_client_threshold_2g', 'sticky_client_threshold_5g', 'target_wake_time', 'tkip_counter_measure', 'tunnel_echo_interval', 'tunnel_fallback_interval', 'usergroup', 'utm_log', 'utm_profile', 'utm_status', 'vdom', 'vlan_auto', 'vlan_pool', 'vlan_pooling', 'vlanid', 'voice_enterprise', 'webfilter_profile'] dictionary = {} for attribute in option_list: if attribute in json and json[attribute] is not None: dictionary[attribute] = json[attribute] return dictionary def flatten_single_path(data, path, index): if not data or index == len(path) or path[index] not in data or not data[path[index]]: return if index == len(path) - 1: data[path[index]] = ' '.join(str(elem) for elem in data[path[index]]) elif isinstance(data[path[index]], list): for value in data[path[index]]: flatten_single_path(value, path, index + 1) else: flatten_single_path(data[path[index]], path, index + 1) def flatten_multilists_attributes(data): multilist_attrs = [ [u'rates_11ac_ss34'], [u'rates_11a'], [u'ipv6_rules'], [u'owe_groups'], [u'rates_11n_ss12'], [u'broadcast_suppression'], [u'sae_groups'], [u'rates_11n_ss34'], [u'additional_akms'], [u'rates_11ac_ss12'], [u'rates_11bg'], ] for attr in multilist_attrs: flatten_single_path(data, attr, 0) return data def underscore_to_hyphen(data): if isinstance(data, list): for i, elem in enumerate(data): data[i] = underscore_to_hyphen(elem) elif isinstance(data, dict): new_data = {} for k, v in data.items(): new_data[k.replace('_', '-')] = underscore_to_hyphen(v) data = new_data return data def wireless_controller_vap(data, fos, check_mode=False): vdom = data['vdom'] state = data['state'] wireless_controller_vap_data = data['wireless_controller_vap'] wireless_controller_vap_data = flatten_multilists_attributes(wireless_controller_vap_data) filtered_data = underscore_to_hyphen(filter_wireless_controller_vap_data(wireless_controller_vap_data)) # check_mode starts from here if check_mode: mkey = fos.get_mkey('wireless_controller', 'vap', filtered_data, vdom=vdom) current_data = fos.get('wireless_controller', 'vap', vdom=vdom, mkey=mkey) is_existed = current_data and current_data.get('http_status') == 200 \ and isinstance(current_data.get('results'), list) \ and len(current_data['results']) > 0 # 2. if it exists and the state is 'present' then compare current settings with desired if state == 'present' or state is True: if mkey is None: return False, True, filtered_data # if mkey exists then compare each other # record exits and they're matched or not if is_existed: is_same = is_same_comparison( serialize(current_data['results'][0]), serialize(filtered_data)) return False, not is_same, filtered_data # record does not exist return False, True, filtered_data if state == 'absent': if mkey is None: return False, False, filtered_data if is_existed: return False, True, filtered_data return False, False, filtered_data return True, False, {'reason: ': 'Must provide state parameter'} if state == "present" or state is True: return fos.set('wireless-controller', 'vap', data=filtered_data, vdom=vdom) elif state == "absent": return fos.delete('wireless-controller', 'vap', mkey=filtered_data['name'], vdom=vdom) else: fos._module.fail_json(msg='state must be present or absent!') def is_successful_status(resp): return 'status' in resp and resp['status'] == 'success' or \ 'http_status' in resp and resp['http_status'] == 200 or \ 'http_method' in resp and resp['http_method'] == "DELETE" and resp['http_status'] == 404 def fortios_wireless_controller(data, fos, check_mode): fos.do_member_operation('wireless_controller_vap') if data['wireless_controller_vap']: resp = wireless_controller_vap(data, fos, check_mode) else: fos._module.fail_json(msg='missing task body: %s' % ('wireless_controller_vap')) if check_mode: return resp return not is_successful_status(resp), \ is_successful_status(resp) and \ (resp['revision_changed'] if 'revision_changed' in resp else True), \ resp versioned_schema = { "type": "list", "children": { "dhcp_option43_insertion": { "type": "string", "options": [ { "value": "enable", "revisions": { "v6.4.4": True, "v7.0.0": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True } }, { "value": "disable", "revisions": { "v6.4.4": True, "v7.0.0": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True } } ], "revisions": { "v6.4.4": True, "v7.0.0": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True } }, "captive_portal_radius_secret": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": False, "v6.0.5": True, "v6.4.4": False, "v7.0.1": False, "v6.4.0": False, "v6.4.1": False, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "ft_mobility_domain": { "type": "integer", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "captive_portal_macauth_radius_secret": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": False, "v6.0.5": True, "v6.4.4": False, "v7.0.1": False, "v6.4.0": False, "v6.4.1": False, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "mesh_backhaul": { "type": "string", "options": [ { "value": "enable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "disable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "rates_11ac_ss34": { "multiple_values": True, "type": "list", "options": [ { "value": "mcs0/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs1/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs2/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs3/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs4/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs5/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs6/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs7/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs8/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs9/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs10/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs11/3", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs0/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs1/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs2/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs3/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs4/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs5/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs6/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs7/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs8/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs9/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs10/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "mcs11/4", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "radio_5g_threshold": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "radius_mac_auth_usergroups": { "type": "list", "children": { "name": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } }, "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "port_macauth_timeout": { "type": "integer", "revisions": { "v6.4.4": True, "v7.0.0": True, "v7.0.1": True } }, "nac_profile": { "type": "string", "revisions": { "v7.0.1": True, "v7.0.0": True } }, "owe_transition_ssid": { "type": "string", "revisions": { "v7.0.1": True, "v7.0.0": True, "v6.4.4": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True } }, "keyindex": { "type": "integer", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "local_bridging": { "type": "string", "options": [ { "value": "enable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } 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True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "intra_vap_privacy": { "type": "string", "options": [ { "value": "enable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, { "value": "disable", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } ], "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "radius_mac_auth_server": { "type": "string", "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } }, "mac_calling_station_delimiter": { "type": "string", "options": [ { "value": "hyphen", "revisions": { "v7.0.1": True, "v7.0.0": True } }, { "value": "single-hyphen", "revisions": { "v7.0.1": True, "v7.0.0": True } }, { "value": "colon", "revisions": { "v7.0.1": True, "v7.0.0": True } }, { "value": "none", "revisions": { "v7.0.1": True, "v7.0.0": True } } ], "revisions": { "v7.0.1": True, "v7.0.0": True } } }, "revisions": { "v6.0.0": True, "v7.0.0": True, "v6.0.5": True, "v6.4.4": True, "v7.0.1": True, "v6.4.0": True, "v6.4.1": True, "v6.2.0": True, "v6.2.3": True, "v6.2.5": True, "v6.2.7": True, "v6.0.11": True } } def main(): module_spec = schema_to_module_spec(versioned_schema) mkeyname = 'name' fields = { "access_token": {"required": False, "type": "str", "no_log": True}, "enable_log": {"required": False, "type": bool}, "vdom": {"required": False, "type": "str", "default": "root"}, "member_path": {"required": False, "type": "str"}, "member_state": { "type": "str", "required": False, "choices": ["present", "absent"] }, "state": {"required": True, "type": "str", "choices": ["present", "absent"]}, "wireless_controller_vap": { "required": False, "type": "dict", "default": None, "options": { } } } for attribute_name in module_spec['options']: fields["wireless_controller_vap"]['options'][attribute_name] = module_spec['options'][attribute_name] if mkeyname and mkeyname == attribute_name: fields["wireless_controller_vap"]['options'][attribute_name]['required'] = True check_legacy_fortiosapi() module = AnsibleModule(argument_spec=fields, supports_check_mode=True) versions_check_result = None if module._socket_path: connection = Connection(module._socket_path) if 'access_token' in module.params: connection.set_option('access_token', module.params['access_token']) if 'enable_log' in module.params: connection.set_option('enable_log', module.params['enable_log']) else: connection.set_option('enable_log', False) fos = FortiOSHandler(connection, module, mkeyname) versions_check_result = check_schema_versioning(fos, versioned_schema, "wireless_controller_vap") is_error, has_changed, result = fortios_wireless_controller(module.params, fos, module.check_mode) else: module.fail_json(**FAIL_SOCKET_MSG) if versions_check_result and versions_check_result['matched'] is False: module.warn("Ansible has detected version mismatch between FortOS system and your playbook, see more details by specifying option -vvv") if not is_error: if versions_check_result and versions_check_result['matched'] is False: module.exit_json(changed=has_changed, version_check_warning=versions_check_result, meta=result) else: module.exit_json(changed=has_changed, meta=result) else: if versions_check_result and versions_check_result['matched'] is False: module.fail_json(msg="Error in repo", version_check_warning=versions_check_result, meta=result) else: module.fail_json(msg="Error in repo", meta=result) if __name__ == '__main__': main()

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5

a4f4d9876fe895ced7cee323894a0caf35800f5e

94

py

Python

tests/__init__.py

dem4ply/chibi_lxc

159acfacf829d0fd182382323905ee3f699dabe0

[ "WTFPL" ]

null

tests/__init__.py

dem4ply/chibi_lxc

159acfacf829d0fd182382323905ee3f699dabe0

[ "WTFPL" ]

null

tests/__init__.py

dem4ply/chibi_lxc

159acfacf829d0fd182382323905ee3f699dabe0

[ "WTFPL" ]

null

# -*- coding: utf-8 -*- from chibi.config import basic_config basic_config( level='DEBUG' )

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1040e930c4b4775dc7db28ae6582642196586e71

3,656

py

Python

src/path.py

JohnWes7/Auto-AzurLane

3914414745f76d7d50b8508e4cc0823b0cb6aff1

[ "MIT" ]

null

src/path.py

JohnWes7/Auto-AzurLane

3914414745f76d7d50b8508e4cc0823b0cb6aff1

[ "MIT" ]

null

src/path.py

JohnWes7/Auto-AzurLane

3914414745f76d7d50b8508e4cc0823b0cb6aff1

[ "MIT" ]

null

import os # 路径类提供项目所需文件夹路径以及文件相关的方法路径全为绝对路径 class Path: __cwd = None @classmethod def getcwd(cls): if cls.__cwd: return cls.__cwd srcdir = os.path.dirname(os.path.abspath(__file__)) cls.__cwd = cwd = os.path.dirname(srcdir).replace('\\', '/') return cwd @classmethod def get_adb_path(cls): return Path.ensure_exisit(cls.getcwd() + '/adb/adb.exe') @classmethod def get_screenshots_dir(cls): Path.checkdir(cls.getcwd() + '/src/image/screenshots') return cls.getcwd() + '/src/image/screenshots' @classmethod def get_configini_path(cls): return Path.ensure_exisit(cls.getcwd() + '/config.ini') @classmethod def get_ui_dir(cls): Path.checkdir(cls.getcwd() + '/src/image/ui') return cls.getcwd() + '/src/image/ui' @classmethod def get_ui_tryagain_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/tryagain.png') @classmethod def get_ui_pause_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/pause.png') @classmethod def get_ui_fulldock_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/fulldock.png') @classmethod def get_ui_clean_up_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/clean_up.png') @classmethod def get_ui_retired_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/retired.png') @classmethod def get_ui_confirm_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/confirm.png') @classmethod def get_ui_tap_to_continue_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/tap_to_continue.png') @classmethod def get_ui_weigh_anchor_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/weigh_anchor.png') @classmethod def get_ui_daily_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/daily.png') @classmethod def get_ui_delegate_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/delegate.png') @classmethod def get_ui_delegate_done_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/delegate_done.png') @classmethod def get_ui_done_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/done.png') @classmethod def get_ui_delegate_success_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/delegate_success.png') @classmethod def get_ui_delegate_page_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/delegate_page.png') @classmethod def get_ui_delegate_free_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/delegate_free.png') @classmethod def get_ui_delegate_advice_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/delegate_advice.png') @classmethod def get_ui_delegate_start_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/delegate_start.png') @classmethod def get_ui_home_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/home.png') @classmethod def get_ui_delegate_0_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/delegate_0.png') @classmethod def get_1_path(cls): return Path.ensure_exisit(cls.get_ui_dir() + '/!.png') @staticmethod def checkdir(dirpath): if os.path.exists(dirpath) and os.path.isdir(dirpath): return os.makedirs(dirpath) def ensure_exisit(path): if os.path.exists(path): return(path) input('找不到指定路径', path) exit(1)

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126

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0

null

0

1

0

1

0

5

1071548d863701cf1d0f3f2ac2b167d430d1f1c1

183

py

Python

assignment que 3.py

priyalbhatewara123/Python-programs

90b84310101b76c14b89f256ee9206711908a4ae

[ "bzip2-1.0.6" ]

null

assignment que 3.py

priyalbhatewara123/Python-programs

90b84310101b76c14b89f256ee9206711908a4ae

[ "bzip2-1.0.6" ]

null

assignment que 3.py

priyalbhatewara123/Python-programs

90b84310101b76c14b89f256ee9206711908a4ae

[ "bzip2-1.0.6" ]

null

#Write a Python class to reverse a string word by word. class py_solution: def reverse_words(self, s): return reversed(s) print(py_solution().reverse_words('rewangi'))

26.142857

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0.715847

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183

4.535714

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183

6

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null

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1

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null

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1

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1

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5

10895f033d59061f7c5af5308441d1cc076c5400

28

py

Python

very_scratch/old_core/__init__.py

ibrahemesam/Fos

f2f284a2c7bdc24dafafebb8aa3141ebf225e451

[ "BSD-3-Clause" ]

2

2016-08-03T10:33:08.000Z

2021-06-23T18:50:14.000Z

scratch/very_scratch/old_core/__init__.py

fos/fos-legacy

db6047668781a0615abcebc7d55a7164f3105047

[ "BSD-3-Clause" ]

null

scratch/very_scratch/old_core/__init__.py

fos/fos-legacy

db6047668781a0615abcebc7d55a7164f3105047

[ "BSD-3-Clause" ]

1

2021-07-11T00:16:46.000Z

# Init for core fos objects

14

27

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4.2

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28

1

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0.954545

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null

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1

0

1

0

null

0

1

0

5

10954015d1738afe0a7bb7477aa5926e412f1d18

103

py

Python

c__74.py

fhansmann/coding-challenges

eebb37565c72e05b77383c24e8273a1e4019b58e

[ "MIT" ]

null

c__74.py

fhansmann/coding-challenges

eebb37565c72e05b77383c24e8273a1e4019b58e

[ "MIT" ]

null

c__74.py

fhansmann/coding-challenges

eebb37565c72e05b77383c24e8273a1e4019b58e

[ "MIT" ]

null

import random print random.randint(5,95) # for random float in range use: random.uniform(start, stop)

20.6

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103

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null

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1

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1

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5

52a0567871c6da2e778d0f29f244ac848a650808

305

py

Python

mitmirror/main/composers/users/__init__.py

Claayton/mitmirror-api

a78ec3aa84aa3685a26bfaf5e1ba2a3f0f8405d1

[ "MIT" ]

null

mitmirror/main/composers/users/__init__.py

Claayton/mitmirror-api

a78ec3aa84aa3685a26bfaf5e1ba2a3f0f8405d1

[ "MIT" ]

1

2021-10-09T20:42:03.000Z

mitmirror/main/composers/users/__init__.py

Claayton/mitmirror-api

a78ec3aa84aa3685a26bfaf5e1ba2a3f0f8405d1

[ "MIT" ]

null

"""Inicializacao do modulo users""" from .get_user_composer import get_user_composer from .get_users_composer import get_users_composer from .register_user_composer import register_user_composer from .update_user_composer import update_user_composer from .delete_user_composer import delete_user_composer

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5

52abc50d5ff3af847c67058fc13809532728405d

205,234

py

Python

pytests/fts/stable_topology_fts.py

couchbase/testrunner

a23e4885fdf86d91b490e91e992e7445e61e9690

[ "Apache-2.0" ]

14

2015-02-06T02:47:57.000Z

2020-03-14T15:06:05.000Z

pytests/fts/stable_topology_fts.py

couchbase/testrunner

a23e4885fdf86d91b490e91e992e7445e61e9690

[ "Apache-2.0" ]

3

2019-02-27T19:29:11.000Z

2021-06-02T02:14:27.000Z

pytests/fts/stable_topology_fts.py

couchbase/testrunner

a23e4885fdf86d91b490e91e992e7445e61e9690

[ "Apache-2.0" ]

108

2015-03-26T08:58:49.000Z

2022-03-21T05:21:39.000Z

# coding=utf-8 import copy import json import random import time from threading import Thread import Geohash from membase.helper.cluster_helper import ClusterOperationHelper from remote.remote_util import RemoteMachineShellConnection from TestInput import TestInputSingleton from tasks.task import ESRunQueryCompare from tasks.taskmanager import TaskManager from lib.testconstants import FUZZY_FTS_SMALL_DATASET, FUZZY_FTS_LARGE_DATASET from .fts_base import FTSBaseTest, INDEX_DEFAULTS, QUERY, download_from_s3 from lib.membase.api.exception import FTSException, ServerUnavailableException from lib.membase.api.rest_client import RestConnection from couchbase_helper.documentgenerator import SDKDataLoader import threading class StableTopFTS(FTSBaseTest): def setUp(self): super(StableTopFTS, self).setUp() def tearDown(self): super(StableTopFTS, self).tearDown() def suite_setUp(self): pass def suite_tearDown(self): pass def check_fts_service_started(self): try: rest = RestConnection(self._cb_cluster.get_random_fts_node()) rest.get_fts_index_definition("invalid_index") except ServerUnavailableException as e: raise FTSException("FTS service has not started: %s" %e) def create_simple_default_index(self, data_loader_output=False): plan_params = self.construct_plan_params() self.load_data(generator=None, data_loader_output=data_loader_output) self.wait_till_items_in_bucket_equal(self._num_items//2) self.create_fts_indexes_all_buckets(plan_params=plan_params) if self._update or self._delete: self.wait_for_indexing_complete() self.validate_index_count(equal_bucket_doc_count=True, zero_rows_ok=False) self.async_perform_update_delete(self.upd_del_fields) if self._update: self.sleep(60, "Waiting for updates to get indexed...") self.wait_for_indexing_complete() self.validate_index_count(equal_bucket_doc_count=True) def test_index_docvalues_option(self): collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( bucket=self._cb_cluster.get_bucket_by_name('default'), index_name="custom_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.load_data() self.wait_for_indexing_complete() for node in self._cb_cluster.get_fts_nodes(): ds = self.get_zap_docvalue_disksize(node) if ds: if float(ds) != float(0): self.fail("zap files size with docvalue not empty with docValues = False") else: self.log.info(" zap files size found to be : {0}".format(ds)) if self.container_type == "collection": type = "scope1.collection1.emp" else: type = "emp" index.update_docvalues_email_custom_index(True, type) self.wait_for_indexing_complete() for node in self._cb_cluster.get_fts_nodes(): ds = self.get_zap_docvalue_disksize(node) if ds: if float(ds) == float(0): self.fail("zap files size with docvalue found to be empty with docValues = True") else: self.log.info(" zap files size found to be : {0}".format(ds)) def test_maxttl_setting(self): self.create_simple_default_index() maxttl = int(self._input.param("maxttl", None)) self.sleep(maxttl, "Waiting for expiration at the elapse of bucket maxttl") self._cb_cluster.run_expiry_pager() self.wait_for_indexing_complete(item_count=0) self.validate_index_count(must_equal=0) for index in self._cb_cluster.get_indexes(): query = eval(self._input.param("query", str(self.sample_query))) hits, _, _, _ = index.execute_query(query, zero_results_ok=True, expected_hits=0) self.log.info("Hits: %s" % hits) def query_in_dgm(self): self.create_simple_default_index() for index in self._cb_cluster.get_indexes(): self.generate_random_queries(index, self.num_queries, self.query_types) self.run_query_and_compare(index) def run_default_index_query(self, query=None, expected_hits=None, expected_no_of_results=None): self.create_simple_default_index() zero_results_ok = True if not expected_hits: expected_hits = int(self._input.param("expected_hits", 0)) if expected_hits: zero_results_ok = False if not query: query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True if expected_no_of_results is None: expected_no_of_results = self._input.param("expected_no_of_results", None) for index in self._cb_cluster.get_indexes(): hits, matches, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, expected_no_of_results=expected_no_of_results) self.log.info("Hits: %s" % hits) self.log.info("Matches: %s" % matches) def test_query_type(self): """ uses RQG """ self.load_data() collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() if self._update or self._delete: self.async_perform_update_delete(self.upd_del_fields) if self._update: self.sleep(60, "Waiting for updates to get indexed...") self.wait_for_indexing_complete() self.generate_random_queries(index, self.num_queries, self.query_types) if self.run_via_n1ql: n1ql_executor = self._cb_cluster else: n1ql_executor = None self.run_query_and_compare(index, n1ql_executor=n1ql_executor) def test_query_type_on_alias(self): """ uses RQG """ self.load_data() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() if self._update or self._delete: self.async_perform_update_delete(self.upd_del_fields) if self._update: self.sleep(60, "Waiting for updates to get indexed...") self.wait_for_indexing_complete() alias = self.create_alias([index]) self.generate_random_queries(alias, self.num_queries, self.query_types) self.run_query_and_compare(alias) def test_match_all(self): self.run_default_index_query(query={"match_all": {}}, expected_hits=self._num_items) def test_match_none(self): self.run_default_index_query(query={"match_none": {}}, expected_hits=0) def test_match_consistency(self): query = {"match_all": {}} expected_hits = int(self._input.param("expected_hits_num", self._num_items)) self.create_simple_default_index(data_loader_output=True) if self.container_type == "collection": scan_vectors_before_mutations = self._get_mutation_vectors() zero_results_ok = True for index in self._cb_cluster.get_indexes(): hits, _, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=0, consistency_level=self.consistency_level, consistency_vectors=self.consistency_vectors ) self.log.info("Hits: %s" % hits) for i in range(list(list(self.consistency_vectors.values())[0].values())[0]): self.async_perform_update_delete(self.upd_del_fields) if self.container_type == "collection": scan_vectors_after_mutations = self._get_mutation_vectors() new_scan_vectors = scan_vectors_after_mutations - scan_vectors_before_mutations self.consistency_vectors = {} self.consistency_vectors[self._cb_cluster.get_indexes()[0].name] = self._convert_mutation_vector_to_scan_vector(new_scan_vectors) self.log.info(self.consistency_vectors) hits, _, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, consistency_level=self.consistency_level, consistency_vectors=self.consistency_vectors) self.log.info("Hits: %s" % hits) def test_match_consistency_error(self): query = {"match_all": {}} fts_node = self._cb_cluster.get_random_fts_node() service_map = RestConnection(self._cb_cluster.get_master_node()).get_nodes_services() # select FTS node to shutdown for node_ip, services in list(service_map.items()): ip = node_ip.split(':')[0] node = self._cb_cluster.get_node(ip, node_ip.split(':')[1]) if node and 'fts' in services and 'kv' not in services: fts_node = node break self.create_simple_default_index() zero_results_ok = True for index in self._cb_cluster.get_indexes(): hits, _, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=0, consistency_level=self.consistency_level, consistency_vectors=self.consistency_vectors) self.log.info("Hits: %s" % hits) try: from .fts_base import NodeHelper NodeHelper.stop_couchbase(fts_node) for i in range(list(list(self.consistency_vectors.values())[0].values())[0]): self.async_perform_update_delete(self.upd_del_fields) finally: NodeHelper.start_couchbase(fts_node) NodeHelper.wait_service_started(fts_node) self.sleep(10) # "status":"remote consistency error" => expected_hits=-1 hits, _, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=-1, consistency_level=self.consistency_level, consistency_vectors=self.consistency_vectors) ClusterOperationHelper.wait_for_ns_servers_or_assert([fts_node], self, wait_if_warmup=True) self.wait_for_indexing_complete() hits, _, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=self._num_items, consistency_level=self.consistency_level, consistency_vectors=self.consistency_vectors) self.log.info("Hits: %s" % hits) def test_match_consistency_long_timeout(self): timeout = self._input.param("timeout", None) query = {"match_all": {}} self.create_simple_default_index(data_loader_output=True) if self.container_type == "collection": scan_vectors_before_mutations = self._get_mutation_vectors() zero_results_ok = True self.sleep(10) for index in self._cb_cluster.get_indexes(): hits, _, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=0, consistency_level=self.consistency_level, consistency_vectors=self.consistency_vectors) self.log.info("Hits: %s" % hits) tasks = [] tasks.append(Thread(target=self.async_perform_update_delete, args=(self.upd_del_fields,))) for i in range(list(list(self.consistency_vectors.values())[0].values())[0]): tasks.append(Thread(target=self.async_perform_update_delete, args=(self.upd_del_fields,))) for task in tasks: task.start() num_items = self._num_items if self.container_type == "collection": num_items = index.get_src_collections_doc_count() if timeout is None or timeout <= 60000: # Here we assume that the update takes more than 60 seconds # when we use timeout <= 60 sec we get timeout error # with None we have 60s by default num_items = 0 try: if self.container_type == "collection": self.sleep(20) scan_vectors_after_mutations = self._get_mutation_vectors() self.log.info(scan_vectors_after_mutations) new_scan_vectors = scan_vectors_after_mutations - scan_vectors_before_mutations self.consistency_vectors = {} self.consistency_vectors[self._cb_cluster.get_indexes()[0].name] = self._convert_mutation_vector_to_scan_vector(new_scan_vectors) hits, _, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=num_items, consistency_level=self.consistency_level, consistency_vectors=self.consistency_vectors, timeout=timeout) finally: for task in tasks: task.join() self.log.info("Hits: %s" % hits) def index_utf16_dataset(self): self.load_utf16_data() try: bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) # an exception will most likely be thrown from waiting self.wait_for_indexing_complete() self.validate_index_count( equal_bucket_doc_count=False, zero_rows_ok=True, must_equal=0) except Exception as e: raise FTSException("Exception thrown in utf-16 test :{0}".format(e)) def create_simple_alias(self): self.load_data() bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() self.validate_index_count(equal_bucket_doc_count=True) hits, _, _, _ = index.execute_query(self.sample_query, zero_results_ok=False) alias = self.create_alias([index]) hits2, _, _, _ = alias.execute_query(self.sample_query, zero_results_ok=False) if hits != hits2: self.fail("Index query yields {0} hits while alias on same index " "yields only {1} hits".format(hits, hits2)) return index, alias def create_query_alias_on_multiple_indexes(self): #delete default bucket self._cb_cluster.delete_bucket("default") # create "emp" bucket self._cb_cluster.create_standard_buckets(bucket_size=1000, name="emp", num_replicas=0) emp = self._cb_cluster.get_bucket_by_name('emp') # create "wiki" bucket self._cb_cluster.create_standard_buckets(bucket_size=1000, name="wiki", num_replicas=0) wiki = self._cb_cluster.get_bucket_by_name('wiki') #load emp dataset into emp bucket emp_gen = self.get_generator(dataset="emp", num_items=self._num_items) wiki_gen = self.get_generator(dataset="wiki", num_items=self._num_items) if self.es: # make deep copies of the generators import copy emp_gen_copy = copy.deepcopy(emp_gen) wiki_gen_copy = copy.deepcopy(wiki_gen) load_tasks = self._cb_cluster.async_load_bucket_from_generator( bucket=emp, kv_gen=emp_gen) load_tasks += self._cb_cluster.async_load_bucket_from_generator( bucket=wiki, kv_gen=wiki_gen) if self.es: # create empty ES indexes self.es.create_empty_index("emp_es_index") self.es.create_empty_index("wiki_es_index") load_tasks.append(self.es.async_bulk_load_ES(index_name='emp_es_index', gen=emp_gen_copy, op_type='create')) load_tasks.append(self.es.async_bulk_load_ES(index_name='wiki_es_index', gen=wiki_gen_copy, op_type='create')) for task in load_tasks: task.result() # create indexes on both buckets emp_index = self.create_index(emp, "emp_index") wiki_index = self.create_index(wiki, "wiki_index") self.wait_for_indexing_complete(es_index="emp_es_index") self.wait_for_indexing_complete(es_index="wiki_es_index") # create compound alias alias = self.create_alias(target_indexes=[emp_index, wiki_index], name="emp_wiki_alias") if self.es: self.es.create_alias(name="emp_wiki_es_alias", indexes=["emp_es_index", "wiki_es_index"]) # run rqg on the alias self.generate_random_queries(alias, self.num_queries, self.query_types) self.run_query_and_compare(alias, es_index_name="emp_wiki_es_alias") def index_wiki(self): self.load_wiki(lang=self.lang) bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, "wiki_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() self.validate_index_count(equal_bucket_doc_count=True, zero_rows_ok=False) def delete_index_then_query(self): self.load_data() bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() self._cb_cluster.delete_fts_index(index.name) try: hits2, _, _, _ = index.execute_query(self.sample_query) except Exception as e: # expected, pass test self.log.info("Expected exception: {0}".format(e)) def drop_bucket_check_index(self): count = 0 self.load_data() bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, _type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, "default_index", collection_index=collection_index, _type=_type, scope=index_scope, collections=index_collections) if self.container_type == "bucket": self._cb_cluster.delete_bucket("default") else: if type(self.collection) is list: for c in self.collection: self._cb_cluster._drop_collection(bucket=bucket, scope=self.scope, collection=c, cli_client=self.cli_client) else: self._cb_cluster._drop_collection(bucket=bucket, scope=self.scope, collection=self.collection, cli_client=self.cli_client) self.sleep(20, "waiting for bucket deletion to be known by fts") try: count = index.get_indexed_doc_count() except Exception as e: self.log.info("Expected exception: {0}".format(e)) # at this point, index has been deleted, # remove index from list of indexes self._cb_cluster.get_indexes().remove(index) if count: self.fail("Able to retrieve index json from index " "built on bucket that was deleted") def delete_index_having_alias(self): index, alias = self.create_simple_alias() self._cb_cluster.delete_fts_index(index.name) hits, _, _, _ = alias.execute_query(self.sample_query) self.log.info("Hits: {0}".format(hits)) if hits >= 0: self.fail("Query alias with deleted target returns query results!") def delete_index_having_alias_recreate_index_query(self): index, alias = self.create_simple_alias() hits1, _, _, _ = alias.execute_query(self.sample_query) self.log.info("Hits: {0}".format(hits1)) index.delete() self.log.info("Recreating deleted index ...") bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() self.create_index(bucket, "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() hits2, _, _, _ = alias.execute_query(self.sample_query) self.log.info("Hits: {0}".format(hits2)) if hits1 != hits2: self.fail("Hits from alias before index recreation: %s," " after recreation: %s" %(hits1, hits2)) def create_alias_on_deleted_index(self): self.load_employee_dataset() bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() from .fts_base import INDEX_DEFAULTS alias_def = INDEX_DEFAULTS.ALIAS_DEFINITION alias_def['targets'][index.name] = {} alias_def['targets'][index.name]['indexUUID'] = index.get_uuid() index.delete() try: self.create_alias([index], alias_def) self.fail("Was able to create alias on deleted target") except Exception as e: self.log.info("Expected exception :{0}".format(e)) def edit_index_new_name(self): self.load_employee_dataset() bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, "sample_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() index.name = "new_index" try: index.update() except Exception as e: self.log.info("Expected exception: {0}".format(e)) def edit_index(self): self.load_employee_dataset() bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, 'sample_index', collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() #hits, _, _, _ = index.execute_query(self.sample_query) new_plan_param = {"maxPartitionsPerPIndex": 30} self.partitions_per_pindex = 30 index.index_definition['planParams'] = \ index.build_custom_plan_params(new_plan_param) index.index_definition['uuid'] = index.get_uuid() index.update() _, defn = index.get_index_defn() self.log.info(defn['indexDef']) def test_metrics_endpoint_availability(self): # todo: use [global] section value instead of hardcode fts_port = 8094 fts_node = self._cb_cluster.get_random_fts_node() endpoint = self._input.param("endpoint", None) self.load_data() bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, tp, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, "default_index", collection_index=collection_index, _type=tp, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete(self._num_items//2) rest = RestConnection(self._cb_cluster.get_random_fts_node()) status, content = rest.get_rest_endpoint_data(endpoint, ip=fts_node.ip, port=fts_port) self.assertTrue(status, f"Endpoint {endpoint} is not accessible.") def update_index_during_large_indexing(self): """ MB-22410 - Updating index with a large dirty write queue items = some millions defined at run_time using items param """ rest = RestConnection(self._cb_cluster.get_random_fts_node()) self.load_employee_dataset() bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, 'sample_index', collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) # wait till half the keys are indexed self.wait_for_indexing_complete(self._num_items//5) status, stat_value = rest.get_fts_stats(index_name=index.name, bucket_name=bucket.name, stat_name='num_recs_to_persist') self.log.info("Data(metadata + docs) in write queue is {0}". format(stat_value)) new_plan_param = self.construct_plan_params() index.index_definition['planParams'] = \ index.build_custom_plan_params(new_plan_param) index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(10, "Wait for index to get updated...") self.is_index_partitioned_balanced(index=index) _, defn = index.get_index_defn() self.log.info(defn['indexDef']) # see if the index is still query-able with all data self.wait_for_indexing_complete() hits, _, _, _ = index.execute_query(self.sample_query, zero_results_ok=False) self.log.info("Hits: %s" % hits) def delete_index_during_large_indexing(self): """ MB-22410 - Deleting index with a large dirty write queue is slow items = 5M """ self.load_employee_dataset() bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, 'sample_index', collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) # wait till half the keys are indexed self.wait_for_indexing_complete(self._num_items//2) index.delete() self.sleep(5) try: _, defn = index.get_index_defn() self.log.info(defn) self.fail("ERROR: Index definition still exists after deletion! " "%s" %defn['indexDef']) except Exception as e: self.log.info("Expected exception caught: %s" % e) def edit_index_negative(self): self.load_employee_dataset() bucket = self._cb_cluster.get_bucket_by_name('default') collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket, 'sample_index', collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() hits, _, _, _ = index.execute_query(self.sample_query) new_plan_param = {"maxPartitionsPerPIndex": 30} self.partitions_per_pindex = 30 # update params with plan params values to check for validation index.index_definition['params'] = \ index.build_custom_index_params(new_plan_param) index.index_definition['uuid'] = index.get_uuid() try: index.update() except Exception as e: self.log.info("Expected exception: %s" % e) def index_query_beer_sample(self): #delete default bucket self._cb_cluster.delete_bucket("default") master = self._cb_cluster.get_master_node() self.load_sample_buckets(server=master, bucketName="beer-sample") bucket = self._cb_cluster.get_bucket_by_name("beer-sample") index = self.create_index(bucket, "beer-index") self.wait_for_indexing_complete() self.validate_index_count(equal_bucket_doc_count=True, zero_rows_ok=False) query = {"match": "cafe", "field": "name"} hits, _, _, _ = index.execute_query(query, zero_results_ok=False, expected_hits=10) self.log.info("Hits: %s" % hits) def index_query_custom_mapping(self): """ uses RQG for custom mapping """ # create a custom map, disable default map collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( bucket=self._cb_cluster.get_bucket_by_name('default'), index_name="custom_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) if self.es: self.create_es_index_mapping(index.es_custom_map, index.index_definition) self.load_data() self.wait_for_indexing_complete() if self._update or self._delete: self.async_perform_update_delete(self.upd_del_fields) if self._update: self.sleep(60, "Waiting for updates to get indexed...") self.wait_for_indexing_complete() self.generate_random_queries(index, self.num_queries, self.query_types) self.sleep(30, "additional wait time to be sure, fts index is ready") if self.run_via_n1ql: n1ql_executor = self._cb_cluster else: n1ql_executor = None self.run_query_and_compare(index, n1ql_executor=n1ql_executor, use_collections=collection_index) def test_collection_index_data_mutations(self): collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index(bucket=self._cb_cluster.get_bucket_by_name('default'), index_name="custom_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) num_collections = TestInputSingleton.input.param("num_collections", 1) self.load_data() self.wait_for_indexing_complete() query = {"query": "mutated:0"} hits,_,_,_ = index.execute_query(query) self.assertEquals(hits, 1000*num_collections, f"Expected hits does not match after insert. Expected - {1000*num_collections}, found {hits}") self._update = True self.async_perform_update_delete(self.upd_del_fields) self.wait_for_indexing_complete() self.sleep(30, "sleep additional time.") query = {"query": "mutated:0"} hits,_,_,_ = index.execute_query(query) self.assertEquals(hits, 700*num_collections, f"Expected hits does not match after update. Expected - {700*num_collections}, found {hits}") self._update = False self._delete = True self.async_perform_update_delete(self.upd_del_fields) self.wait_for_indexing_complete() query = {"query": "type:emp"} hits,_,_,_ = index.execute_query(query) self.assertEquals(hits, 700*num_collections, f"Expected hits does not match after delete. Expected - {700*num_collections}, found {hits}") self._expires = 10 self._update = True self._delete = False self.async_perform_update_delete() self.wait_for_indexing_complete() self.sleep(30, "Wait for docs expiration") query = {"query": "type:emp"} hits,_,_,_ = index.execute_query(query) self.assertEquals(hits, 400*num_collections, f"Expected hits does not match after expiration. Expected - {400*num_collections}, found {hits}") def test_collection_mutations_isolation(self): #delete unnecessary bucket self._cb_cluster.delete_bucket("default") #create bucket bucket_size = 200 bucket_priority = None bucket_type = TestInputSingleton.input.param("bucket_type", "membase") maxttl = TestInputSingleton.input.param("maxttl", None) self._cb_cluster.create_default_bucket( bucket_size, self._num_replicas, eviction_policy='valueOnly', bucket_priority=bucket_priority, bucket_type=bucket_type, maxttl=maxttl, bucket_storage='couchstore', bucket_name='bucket1') #create 2 scopes self.cli_client.create_scope(bucket='bucket1', scope='scope1') self.cli_client.create_scope(bucket='bucket1', scope='scope2') #create collections with same name self.cli_client.create_collection(bucket='bucket1', scope='scope1', collection='collection1') self.cli_client.create_collection(bucket='bucket1', scope='scope2', collection='collection1') # create 2 indexes index1 = self.create_index(self._cb_cluster.get_bucket_by_name('bucket1'), "index_scope1", collection_index=True, _type="scope1.collection1", scope="scope1", collections=["collection1"]) index2 = self.create_index(self._cb_cluster.get_bucket_by_name('bucket1'), "index_scope2", collection_index=True, _type="scope2.collection1", scope="scope2", collections=["collection1"]) #load data into collections bucket = self._cb_cluster.get_bucket_by_name('bucket1') gen_create = SDKDataLoader(num_ops=1000, percent_create=100, percent_update=0, percent_delete=0, load_pattern="uniform", start_seq_num=1, key_prefix="doc_", key_suffix="_", scope="scope1", collection="collection1", json_template="emp", doc_expiry=0, doc_size=500, get_sdk_logs=False, username="Administrator", password="password", timeout=1000, start=0, end=0, op_type="create", all_collections=False, es_compare=False, es_host=None, es_port=None, es_login=None, es_password=None) load_tasks = self._cb_cluster.async_load_bucket_from_generator(bucket, gen_create) for task in load_tasks: task.result() gen_create1 = SDKDataLoader(num_ops=1000, percent_create=100, percent_update=0, percent_delete=0, load_pattern="uniform", start_seq_num=1, key_prefix="doc_", key_suffix="_", scope="scope2", collection="collection1", json_template="emp", doc_expiry=0, doc_size=500, get_sdk_logs=False, username="Administrator", password="password", timeout=1000, start=0, end=0, op_type="create", all_collections=False, es_compare=False, es_host=None, es_port=None, es_login=None, es_password=None) load_tasks = self._cb_cluster.async_load_bucket_from_generator(bucket, gen_create1) for task in load_tasks: task.result() # run all types of mutations on scope1, check that scope2 results remain the same query = {"query": "dept:Marketing"} untouched_hits,_,_,_ = index1.execute_query(query) gen_update2 = SDKDataLoader(num_ops=100, percent_create=0, percent_update=100, percent_delete=0, load_pattern="uniform", start_seq_num=1, key_prefix="doc_", key_suffix="_", scope="scope2", collection="collection1", json_template="emp", doc_expiry=0, doc_size=500, get_sdk_logs=False, username="Administrator", password="password", timeout=1000, start=0, end=100, op_type="update", all_collections=False, es_compare=False, es_host=None, es_port=None, es_login=None, es_password=None) load_tasks = self._cb_cluster.async_load_bucket_from_generator(bucket, gen_update2) for task in load_tasks: task.result() query = {"query": "dept:Marketing"} hits,_,_,_ = index1.execute_query(query) self.assertEqual(hits, untouched_hits, "Update isolation test is failed") gen_delete2 = SDKDataLoader(num_ops=100, percent_create=0, percent_update=0, percent_delete=100, load_pattern="uniform", start_seq_num=1, key_prefix="doc_", key_suffix="_", scope="scope2", collection="collection1", json_template="emp", doc_expiry=0, doc_size=500, get_sdk_logs=False, username="Administrator", password="password", timeout=1000, start=0, end=100, op_type="delete", all_collections=False, es_compare=False, es_host=None, es_port=None, es_login=None, es_password=None) load_tasks = self._cb_cluster.async_load_bucket_from_generator(bucket, gen_delete2) for task in load_tasks: task.result() query = {"query": "dept:Marketing"} hits,_,_,_ = index1.execute_query(query) self.assertEqual(hits, untouched_hits, "Delete isolation test is failed") gen_exp2 = SDKDataLoader(num_ops=100, percent_create=0, percent_update=100, percent_delete=0, load_pattern="uniform", start_seq_num=500, key_prefix="doc_", key_suffix="_", scope="scope2", collection="collection1", json_template="emp", doc_expiry=10, doc_size=500, get_sdk_logs=False, username="Administrator", password="password", timeout=1000, start=500, end=600, op_type="update", all_collections=False, es_compare=False, es_host=None, es_port=None, es_login=None, es_password=None) load_tasks = self._cb_cluster.async_load_bucket_from_generator(bucket, kv_gen=gen_exp2, exp=10) for task in load_tasks: task.result() query = {"query": "dept:Marketing"} hits,_,_,_ = index1.execute_query(query) self.assertEqual(hits, untouched_hits, "Expiration isolation test is failed") def test_query_string_combinations(self): """ uses RQG framework minus randomness for testing query-string combinations of '', '+', '-' { mterms := [ [], // none ["+Wikipedia"], // one term ["+Wikipedia", "+English"], // two terms ["+the"], // one term (stop word) ["+the", "+English"], // two terms (one stop) ["+the", "+and"], // two terms (both stop) ] sterms = [ [], // none ["Category"], // one term ["Category", "United"], // two terms ["of"], // one term (stop word) ["of", "United"], // two terms (one stop) ["of", "at"], // two terms (both stop) ] nterms = [ [], // none ["-language"], // one term ["-language", "-States"], // two terms ["-for"], // one term (stop word) ["-for", "-States"], // two terms (one stop) ["-for", "-with"], // two terms (both stop) ] } """ self.load_data() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() index.fts_queries = [] mterms = [[], ["+revision.text.#text:\"Wikipedia\""], ["+revision.text.#text:\"Wikipedia\"", "+revision.text.#text:\"English\""], ["+revision.text.#text:\"the\""], ["+revision.text.#text:\"the\"", "+revision.text.#text:\"English\""], ["+revision.text.#text:\"the\"", "+revision.text.#text:\"and\""]] sterms = [[], ["revision.text.#text:\"Category\""], ["revision.text.#text:\"Category\"", "revision.text.#text:\"United\""], ["revision.text.#text:\"of\""], ["revision.text.#text:\"of\"", "revision.text.#text:\"United\""], ["revision.text.#text:\"of\"", "revision.text.#text:\"at\""]] nterms = [[], ["-revision.text.#text:\"language\""], ["-revision.text.#text:\"language\"", "-revision.text.#text:\"States\""], ["-revision.text.#text:\"for\""], ["-revision.text.#text:\"for\"", "-revision.text.#text:\"States\""], ["-revision.text.#text:\"for\"", "-revision.text.#text:\"with\""]] for mterm in mterms: for sterm in sterms: for nterm in nterms: clause = (' '.join(mterm) + ' ' + ' '.join(sterm) + ' ' + ' '.join(nterm)).strip() query = {"query": clause} index.fts_queries.append(json.loads(json.dumps(query, ensure_ascii=False))) if self.compare_es: self.es.es_queries.append(json.loads(json.dumps({"query": {"query_string": query}}, ensure_ascii=False))) self.run_query_and_compare(index) def index_edit_and_query_custom_mapping(self): """ Index and query index, update map, query again, uses RQG """ fail = False collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( bucket=self._cb_cluster.get_bucket_by_name('default'), index_name="custom_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.create_es_index_mapping(index.es_custom_map, index.index_definition) self.load_data() self.wait_for_indexing_complete() self.generate_random_queries(index, self.num_queries, self.query_types) try: self.run_query_and_compare(index) except AssertionError as err: error_msg = str(err) self.log.error(err) fail = True self.log.info("Editing custom index with new map...") index.generate_new_custom_map(seed=index.cm_id+10, collection_index=collection_index, type_mapping=type) index.index_definition['uuid'] = index.get_uuid() index.update() # updating mapping on ES is not easy, often leading to merge issues # drop and recreate the index, load again self.create_es_index_mapping(index.es_custom_map) self.load_data() self.wait_for_indexing_complete() if self.run_via_n1ql: n1ql_executor = self._cb_cluster else: n1ql_executor = None self.run_query_and_compare(index, n1ql_executor=n1ql_executor) if fail: raise error_msg def index_query_in_parallel(self): """ Run rqg before querying is complete turn off es validation goal is to make sure there are no fdb or cbft crashes """ collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( bucket=self._cb_cluster.get_bucket_by_name('default'), index_name="default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.load_data() self.generate_random_queries(index, self.num_queries, self.query_types) self.run_query_and_compare(index) def load_index_query_all_in_parallel(self): """ Run rqg before querying is complete turn off es validation goal is to make sure there are no fdb or cbft crashes """ collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( bucket=self._cb_cluster.get_bucket_by_name('default'), index_name="default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.sleep(20) self.generate_random_queries(index, self.num_queries, self.query_types) from threading import Thread threads = [] threads.append(Thread(target=self.load_data, name="loader thread", args=())) threads.append(Thread(target=self.run_query_and_compare, name="query thread", args=(index,))) for thread in threads: thread.start() for thread in threads: thread.join() def index_edit_and_query_custom_analyzer(self): """ Index and query index, update map, query again, uses RQG """ fail = False index = self.create_index( bucket=self._cb_cluster.get_bucket_by_name('default'), index_name="custom_index") self.create_es_index_mapping(index.es_custom_map, index.index_definition) self.load_data() self.wait_for_indexing_complete() self.generate_random_queries(index, self.num_queries, self.query_types) try: self.run_query_and_compare(index) except AssertionError as err: self.log.error(err) fail = True self.log.info("Editing custom index with new custom analyzer...") index.update_custom_analyzer(seed=index.cm_id + 10) index.index_definition['uuid'] = index.get_uuid() index.update() # updating mapping on ES is not easy, often leading to merge issues # drop and recreate the index, load again self.create_es_index_mapping(index.es_custom_map, index.index_definition) gen = copy.deepcopy(self.create_gen) task = self.es.async_bulk_load_ES(index_name='es_index', gen=gen, op_type='create') task.result() self.wait_for_indexing_complete() try: if self.run_via_n1ql: n1ql_executor = self._cb_cluster else: n1ql_executor = None self.run_query_and_compare(index, n1ql_executor=n1ql_executor) except AssertionError as err: self.log.error(err) fail = True if fail: raise err def index_delete_custom_analyzer(self): """ Create Index and then update by deleting custom analyzer in use, or custom filter in use. """ error_msg = TestInputSingleton.input.param('error_msg', '') fail = False index = self.create_index( bucket=self._cb_cluster.get_bucket_by_name('default'), index_name="custom_index") self.load_data() self.wait_for_indexing_complete() self.log.info("Editing custom index by deleting custom analyzer/filter in use...") index.update_custom_analyzer(seed=index.cm_id + 10) index.index_definition['uuid'] = index.get_uuid() try: index.update() except Exception as err: self.log.error(err) if str(err).count(error_msg, 0, len(str(err))): self.log.info("Error is expected") else: self.log.info("Error is not expected") raise err def test_field_name_alias(self): """ Test the Searchable As property in field mapping """ self.load_data() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() index.add_child_field_to_default_mapping(field_name=self.field_name, field_type=self.field_type, field_alias=self.field_alias) index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(5) self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) if expected_hits: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True for index in self._cb_cluster.get_indexes(): hits, matches, time_taken, status = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, consistency_level=self.consistency_level, consistency_vectors=self.consistency_vectors) self.log.info("Hits: %s" % hits) def test_one_field_multiple_analyzer(self): """ 1. Create an default FTS index on wiki dataset 2. Update it to add a field mapping for revision.text.#text field with 'en' analyzer 3. Should get 0 search results for a query 4. Update it to add another field mapping for the same field, with 'fr' analyzer 5. Same query should yield more results now. """ self.load_data() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() index.add_child_field_to_default_mapping(field_name=self.field_name, field_type=self.field_type, field_alias=self.field_alias, analyzer="en") index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(5) self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits1", 0)) if expected_hits: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True for index in self._cb_cluster.get_indexes(): hits, _, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=expected_hits) self.log.info("Hits: %s" % hits) index.add_analyzer_to_existing_field_map(field_name=self.field_name, field_type=self.field_type, field_alias=self.field_alias, analyzer="fr") index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(5) self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits2", 0)) if expected_hits: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True for index in self._cb_cluster.get_indexes(): hits, _, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=expected_hits) self.log.info("Hits: %s" % hits) def test_facets(self): field_indexed = self._input.param("field_indexed", True) self.load_data() collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() if self.container_type == 'bucket': index.add_child_field_to_default_mapping(field_name="type", field_type="text", field_alias="type", analyzer="keyword") if field_indexed: index.add_child_field_to_default_mapping(field_name="dept", field_type="text", field_alias="dept", analyzer="keyword") index.add_child_field_to_default_mapping(field_name="salary", field_type="number", field_alias="salary") index.add_child_field_to_default_mapping(field_name="join_date", field_type="datetime", field_alias="join_date") else: index.add_child_field_to_default_collection_mapping(field_name="type", field_type="text", field_alias="type", analyzer="keyword", scope=self.scope, collection=self.collection) if field_indexed: index.add_child_field_to_default_collection_mapping(field_name="dept", field_type="text", field_alias="dept", analyzer="keyword", scope=self.scope, collection=self.collection) index.add_child_field_to_default_collection_mapping(field_name="salary", field_type="number", field_alias="salary", scope=self.scope, collection=self.collection) index.add_child_field_to_default_collection_mapping(field_name="join_date", field_type="datetime", field_alias="join_date", scope=self.scope, collection=self.collection) index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(5) self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) if expected_hits: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True try: for index in self._cb_cluster.get_indexes(): hits, _, _, _, facets = index.execute_query_with_facets(query, zero_results_ok=zero_results_ok, expected_hits=expected_hits) self.log.info("Hits: %s" % hits) self.log.info("Facets: %s" % facets) index.validate_facets_in_search_results(no_of_hits=hits, facets_returned=facets) except Exception as err: self.log.error(err) self.fail("Testcase failed: "+ str(err)) def test_facets_during_index(self): field_indexed = self._input.param("field_indexed", True) self.load_data() collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.sleep(5) if self.container_type == 'bucket': index.add_child_field_to_default_mapping(field_name="type", field_type="text", field_alias="type", analyzer="keyword") if field_indexed: index.add_child_field_to_default_mapping(field_name="dept", field_type="text", field_alias="dept", analyzer="keyword") index.add_child_field_to_default_mapping(field_name="salary", field_type="number", field_alias="salary") index.add_child_field_to_default_mapping(field_name="join_date", field_type="datetime", field_alias="join_date") else: index.add_child_field_to_default_collection_mapping(field_name="type", field_type="text", field_alias="type", analyzer="keyword", scope=self.scope, collection=self.collection) if field_indexed: index.add_child_field_to_default_collection_mapping(field_name="dept", field_type="text", field_alias="dept", analyzer="keyword", scope=self.scope, collection=self.collection) index.add_child_field_to_default_collection_mapping(field_name="salary", field_type="number", field_alias="salary", scope=self.scope, collection=self.collection) index.add_child_field_to_default_collection_mapping(field_name="join_date", field_type="datetime", field_alias="join_date", scope=self.scope, collection=self.collection) index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(5) query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) while not self.is_index_complete(index.name): zero_results_ok = True try: hits, _, _, _, facets = index.execute_query_with_facets(query, zero_results_ok=zero_results_ok) self.log.info("Hits: %s" % hits) self.log.info("Facets: %s" % facets) except Exception as err: self.log.error(err) self.fail("Testcase failed: "+ str(err)) def test_doc_config(self): # delete default bucket self._cb_cluster.delete_bucket("default") master = self._cb_cluster.get_master_node() # Load Travel Sample bucket and create an index self.load_sample_buckets(server=master, bucketName="travel-sample") bucket = self._cb_cluster.get_bucket_by_name("travel-sample") index = self.create_index(bucket, "travel-index", scope="_default", collections=["_default"]) self.sleep(10) self.wait_for_indexing_complete() # Add Type Mapping index.add_type_mapping_to_index_definition(type="airport", analyzer="en") index.add_type_mapping_to_index_definition(type="hotel", analyzer="en") mode = self._input.param("mode", "type_field") index.add_doc_config_to_index_definition(mode=mode) index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(15) self.wait_for_indexing_complete() self.validate_index_count(equal_bucket_doc_count=True, zero_rows_ok=False) # Run Query expected_hits = int(self._input.param("expected_hits", 0)) if not expected_hits: zero_results_ok = True else: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) try: for index in self._cb_cluster.get_indexes(): hits, _, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, consistency_level=self.consistency_level, consistency_vectors=self.consistency_vectors) self.log.info("Hits: %s" % hits) except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) def test_boost_query_type(self): # Create bucket, create index self.load_data() self.wait_till_items_in_bucket_equal(items=self._num_items//2) index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() index.add_type_mapping_to_index_definition(type="emp", analyzer="keyword") index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(15) self.wait_for_indexing_complete() zero_results_ok = False expected_hits = 5 # Run Query w/o Boosting and compare the scores for Docs emp10000086 & # emp10000021. Should be the same query = {"query": "dept:Marketing name:Safiya"} if isinstance(query, str): query = json.loads(query) zero_results_ok = True try: for index in self._cb_cluster.get_indexes(): hits, contents, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True) self.log.info("Hits: %s" % hits) self.log.info("Contents: %s" % contents) score_before_boosting_doc1 = index.get_score_from_query_result_content( contents=contents, doc_id='emp10000045') score_before_boosting_doc2 = index.get_score_from_query_result_content( contents=contents, doc_id='emp10000053') self.log.info("Scores before boosting:") self.log.info("") self.log.info("emp10000045: %s", score_before_boosting_doc1) self.log.info("emp10000053: %s", score_before_boosting_doc2) except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) if not score_before_boosting_doc1 == score_before_boosting_doc2: self.fail("Testcase failed: Scores for emp10000045 & emp10000053 " "are not equal before boosting") # Run Query w/o Boosting and compare the scores for Docs emp10000021 & # emp10000086. emp10000021 score should have improved w.r.t. emp10000086 query = {"query": "dept:Marketing^5 name:Safiya"} if isinstance(query, str): query = json.loads(query) zero_results_ok = True for index in self._cb_cluster.get_indexes(): hits, contents, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True) self.log.info("Hits: %s" % hits) self.log.info("Contents: %s" % contents) score_after_boosting_doc1 = index.get_score_from_query_result_content( contents=contents, doc_id='emp10000045') score_after_boosting_doc2 = index.get_score_from_query_result_content( contents=contents, doc_id='emp10000053') self.log.info("Scores after boosting:") self.log.info("") self.log.info("emp10000045: %s", score_after_boosting_doc1) self.log.info("emp10000053: %s", score_after_boosting_doc2) assert score_after_boosting_doc1 == score_after_boosting_doc2 assert score_before_boosting_doc1 < score_after_boosting_doc1 assert score_before_boosting_doc2 < score_after_boosting_doc2 def test_doc_id_query_type(self): # Create bucket, create index self.load_data() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() index.add_type_mapping_to_index_definition(type="emp", analyzer="standard") index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(15) self.wait_for_indexing_complete() expected_hits = int(self._input.param("expected_hits", 0)) query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) # From the Query string, fetch the Doc IDs doc_ids = copy.deepcopy(query['ids']) # If invalid_doc_id param is passed, add this to the query['ids'] invalid_doc_id = self._input.param("invalid_doc_id", 0) if invalid_doc_id: query['ids'].append(invalid_doc_id) # If disjuncts_query is passed, join query and disjuncts_query # to form a new query string disjuncts_query = self._input.param("disjuncts_query", None) if disjuncts_query: if isinstance(disjuncts_query, str): disjuncts_query = json.loads(disjuncts_query) new_query = {} new_query['disjuncts'] = [] new_query['disjuncts'].append(disjuncts_query) new_query['disjuncts'].append(query) query = new_query # Execute Query zero_results_ok = False try: for index in self._cb_cluster.get_indexes(): n1ql_query = "select d, meta().id from default d where search(d, "+json.dumps(query)+") and type='emp'" hits, contents, _, _ = index.execute_query(query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True) self.log.info("Hits: %s" % hits) self.log.info("Contents: %s" % contents) # For each doc id passed in the query, validate the # presence in the search results for doc_id in doc_ids: self.assertTrue(index.is_doc_present_in_query_result_content (contents=contents, doc_id=doc_id), "Doc ID " "%s is not present in Search results" % doc_id) if self.run_via_n1ql: n1ql_results = self._cb_cluster.run_n1ql_query(query=n1ql_query) self.assertTrue(index.is_doc_present_in_query_result_content (contents=n1ql_results['results'], doc_id=doc_id), "Doc ID " "%s is not present in N1QL Search results" % doc_id) score = index.get_score_from_query_result_content\ (contents=contents, doc_id=doc_id) self.log.info ("Score for Doc ID {0} is {1}". format(doc_id, score)) if invalid_doc_id: # Validate if invalid doc id was passed, it should # not be present in the search results self.assertFalse(index.is_doc_present_in_query_result_content (contents=contents, doc_id=invalid_doc_id), "Doc ID %s is present in Search results" % invalid_doc_id) except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) def test_sorting_of_results(self): self.load_data() self.wait_till_items_in_bucket_equal(self._num_items//2) collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) default_query = {"disjuncts": [{"match": "Safiya", "field": "name"}, {"match": "Palmer", "field": "name"}]} query = eval(self._input.param("query", str(default_query))) if expected_hits: zero_results_ok = False if isinstance(query, str): query = json.loads(query) try: for index in self._cb_cluster.get_indexes(): sort_params = self.build_sort_params() hits, raw_hits, _, _ = index.execute_query(query = query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, sort_fields=sort_params, return_raw_hits=True) self.log.info("Hits: %s" % hits) self.log.info("Doc IDs: %s" % raw_hits) if hits: result = index.validate_sorted_results(raw_hits, self.sort_fields_list) if not result: self.fail( "Testcase failed. Actual results do not match expected.") except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) def test_sorting_of_results_during_indexing(self): self.load_data() self.wait_till_items_in_bucket_equal(self._num_items//2) collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) #self.wait_for_indexing_complete() self.sleep(5) zero_results_ok = True #expected_hits = int(self._input.param("expected_hits", 0)) default_query = {"disjuncts": [{"match": "Safiya", "field": "name"}, {"match": "Palmer", "field": "name"}]} query = eval(self._input.param("query", str(default_query))) if isinstance(query, str): query = json.loads(query) try: for index in self._cb_cluster.get_indexes(): while not self.is_index_complete(index.name): sort_params = self.build_sort_params() hits, raw_hits, _, _ = index.execute_query(query = query, zero_results_ok=zero_results_ok, sort_fields=sort_params, return_raw_hits=True) self.log.info("Hits: %s" % hits) self.log.info("Doc IDs: %s" % raw_hits) #self.sleep(5) except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) def test_sorting_of_results_on_non_indexed_fields(self): self.load_data() collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index", collection_index=collection_index, _type=type, scope=index_scope, collections=index_collections) self.wait_for_indexing_complete() if self.container_type == 'bucket': index.add_child_field_to_default_mapping(field_name="name", field_type="text", field_alias="name", analyzer="en") else: index.add_child_field_to_default_collection_mapping(field_name="name", field_type="text", field_alias="name", analyzer="en", scope=self.scope, collection=self.collection) index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(5) self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) default_query = {"disjuncts": [{"match": "Safiya", "field": "name"}, {"match": "Palmer", "field": "name"}]} query = eval(self._input.param("query", str(default_query))) if expected_hits: zero_results_ok = False if isinstance(query, str): query = json.loads(query) try: for index in self._cb_cluster.get_indexes(): hits, raw_hits, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, sort_fields=self.sort_fields_list, return_raw_hits=True) self.log.info("Hits: %s" % hits) self.log.info("Doc IDs: %s" % raw_hits) if hits: result = index.validate_sorted_results(raw_hits, self.sort_fields_list) if not result: self.fail( "Testcase failed. Actual results do not match expected.") except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) def test_scoring_tf_score(self): """ Test if the TF score in the Scoring functionality works fine """ test_data = [{"text":"cat - a lazy cat and a brown cat"}, {"text":"a lazy cat and a brown cat"}, {"text":"a lazy cat"}] self.create_test_dataset(self._master, test_data) self.wait_till_items_in_bucket_equal(items=len(test_data)) plan_params = self.construct_plan_params() index = self.create_index(plan_params=plan_params, bucket=self._cb_cluster.get_bucket_by_name( 'default'), index_name="default_index") self.wait_for_indexing_complete() self.sleep(5) zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) if expected_hits: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True n1ql_query = "select search_score(d) as score, d.text, meta().id from default d where search(d," + json.dumps(query) + ")" for index in self._cb_cluster.get_indexes(): hits, raw_hits, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True, explain=True) tf_score1, _, _, _, _ = index.get_detailed_scores_for_doc( doc_id='1', search_results=raw_hits, weight='fieldWeight', searchTerm='cat') self.log.info("TF for Doc ID 1 = %s" % tf_score1) tf_score2, _, _, _, _ = index.get_detailed_scores_for_doc( doc_id='2', search_results=raw_hits, weight='fieldWeight', searchTerm='cat') self.log.info("TF for Doc ID 2 = %s" % tf_score2) tf_score3, _, _, _, _ = index.get_detailed_scores_for_doc( doc_id='3', search_results=raw_hits, weight='fieldWeight', searchTerm='cat') self.log.info("TF for Doc ID 3 = %s" % tf_score3) self.assertTrue(tf_score1 > tf_score2 > tf_score3, "Testcase failed. TF score for Doc1 not > Doc2 not > Doc3") if self.run_via_n1ql: self.compare_n1ql_fts_scoring(n1ql_query=n1ql_query, raw_hits=raw_hits) def compare_n1ql_fts_scoring(self, n1ql_query='', raw_hits=[]): n1ql_results = self._cb_cluster.run_n1ql_query(query=n1ql_query) self.assertEqual(len(n1ql_results['results']), len(raw_hits), "Return values are not the same for n1ql query and fts request.") for res in n1ql_results['results']: for hit in raw_hits: if res['id'] == hit['id']: self.assertEqual(res['score'], hit['score'], "Scoring is not the same for n1ql result and fts request hit") def test_scoring_idf_score(self): """ Test if the IDF score in the Scoring functionality works fine """ test_data = [{"text":"a brown cat"}, {"text":"a lazy cat"}, {"text":"a lazy cat and a brown cat"}, {"text":"a brown dog"}, {"text":"a lazy dog"}, {"text":"a lazy dog and a brown dog"}, {"text":"a lazy fox and a brown fox"}] self.create_test_dataset(self._master, test_data) self.wait_till_items_in_bucket_equal(items=len(test_data)) plan_params = self.construct_plan_params() index = self.create_index(plan_params=plan_params, bucket=self._cb_cluster.get_bucket_by_name( 'default'), index_name="default_index") self.wait_for_indexing_complete() self.sleep(5) zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) if expected_hits: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True n1ql_query = "select search_score(d) as score, d.text, meta().id from default d where search(d," + json.dumps(query) + ")" for index in self._cb_cluster.get_indexes(): hits, raw_hits, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True, explain=True) _, _, idf1, _, _ = index.get_detailed_scores_for_doc(doc_id='2', search_results=raw_hits, weight='fieldWeight', searchTerm='cat') self.log.info("IDF score for Doc ID 1 = %s" % idf1) _, _, idf2, _, _ = index.get_detailed_scores_for_doc(doc_id='2', search_results=raw_hits, weight='fieldWeight', searchTerm='lazy') self.log.info( "IDF score for Doc ID 2 = %s" % idf2) self.assertTrue(idf1 > idf2, "Testcase failed. IDF score for Doc1 " "for search term 'cat' not > that of search term 'lazy'") if self.run_via_n1ql: self.compare_n1ql_fts_scoring(n1ql_query=n1ql_query, raw_hits=raw_hits) def test_scoring_field_norm_score(self): """ Test if the Field Normalization score in the Scoring functionality works fine """ test_data = [{"text":"a cat"}, {"text":"a lazy cat"}, {"text":"a lazy cat and a brown cat"}] self.create_test_dataset(self._master, test_data) self.wait_till_items_in_bucket_equal(items=len(test_data)) plan_params = self.construct_plan_params() index = self.create_index(plan_params=plan_params, bucket=self._cb_cluster.get_bucket_by_name( 'default'), index_name="default_index") self.wait_for_indexing_complete() self.sleep(5) zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) if expected_hits: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True n1ql_query = "select search_score(d) as score, d.text, meta().id from default d where search(d," + json.dumps(query) + ")" for index in self._cb_cluster.get_indexes(): hits, raw_hits, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True, explain=True) _, field_norm1, _, _, _ = index.get_detailed_scores_for_doc( doc_id='1', search_results=raw_hits, weight='fieldWeight', searchTerm='cat') self.log.info( "Field Normalization score for Doc ID 1 = %s" % field_norm1) _, field_norm2, _, _, _ = index.get_detailed_scores_for_doc( doc_id='2', search_results=raw_hits, weight='fieldWeight', searchTerm='cat') self.log.info( "Field Normalization score for Doc ID 2 = %s" % field_norm2) _, field_norm3, _, _, _ = index.get_detailed_scores_for_doc( doc_id='3', search_results=raw_hits, weight='fieldWeight', searchTerm='cat') self.log.info( "Field Normalization score for Doc ID 3 = %s" % field_norm3) self.assertTrue(field_norm1 > field_norm2 > field_norm3, "Testcase failed. Field Normalization score for " "Doc1 not > Doc2 not > Doc3") if self.run_via_n1ql: self.compare_n1ql_fts_scoring(n1ql_query=n1ql_query, raw_hits=raw_hits) def test_scoring_query_norm_score(self): """ Test if the Query Normalization score in the Scoring functionality works fine """ test_data = [{"text":"a cat"}, {"text":"a lazy cat"}, {"text":"a lazy cat and a brown cat"}] self.create_test_dataset(self._master, test_data) self.wait_till_items_in_bucket_equal(items=len(test_data)) plan_params = self.construct_plan_params() index = self.create_index(plan_params=plan_params, bucket=self._cb_cluster.get_bucket_by_name( 'default'), index_name="default_index") self.wait_for_indexing_complete() self.sleep(5) zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) if expected_hits: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True n1ql_query = "select search_score(d) as score, d.text, meta().id from default d where search(d," + json.dumps(query) + ")" for index in self._cb_cluster.get_indexes(): hits, raw_hits, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True, explain=True) _, _, _, query_norm1, _ = index.get_detailed_scores_for_doc( doc_id='1', search_results=raw_hits, weight='queryWeight', searchTerm='cat') self.log.info( "Query Normalization score for Doc ID 1 = %s" % query_norm1) _, _, _, query_norm2, _ = index.get_detailed_scores_for_doc( doc_id='2', search_results=raw_hits, weight='queryWeight', searchTerm='cat') self.log.info( "Query Normalization score for Doc ID 2 = %s" % query_norm2) _, _, _, query_norm3, _ = index.get_detailed_scores_for_doc( doc_id='3', search_results=raw_hits, weight='queryWeight', searchTerm='cat') self.log.info( "Query Normalization score for Doc ID 3 = %s" % query_norm3) self.assertTrue(query_norm1 == query_norm2 == query_norm3, "Testcase failed. Query Normalization score for " "Doc1 != Doc2 != Doc3") if self.run_via_n1ql: self.compare_n1ql_fts_scoring(n1ql_query=n1ql_query, raw_hits=raw_hits) def test_scoring_coord_score(self): """ Test if the Coord score in the Scoring functionality works fine """ test_data = [{"text":"a cat"}, {"text":"a lazy cat"}] self.create_test_dataset(self._master, test_data) self.wait_till_items_in_bucket_equal(items=len(test_data)) plan_params = self.construct_plan_params() index = self.create_index(plan_params=plan_params, bucket=self._cb_cluster.get_bucket_by_name( 'default'), index_name="default_index") self.wait_for_indexing_complete() self.sleep(5) zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) if expected_hits: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True n1ql_query = "select search_score(d) as score, d.text, meta().id from default d where search(d," + json.dumps(query) + ")" for index in self._cb_cluster.get_indexes(): hits, raw_hits, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True, explain=True) _, _, _, _, coord1 = index.get_detailed_scores_for_doc( doc_id='1', search_results=raw_hits, weight='coord', searchTerm='') self.log.info( "Coord score for Doc ID 1 = %s" % coord1) _, _, _, _, coord2 = index.get_detailed_scores_for_doc( doc_id='2', search_results=raw_hits, weight='coord', searchTerm='') self.log.info( "Coord score for Doc ID 2 = %s" % coord2) self.assertTrue(coord1 < coord2, "Testcase failed. Coord score for Doc1 not < Doc2") if self.run_via_n1ql: self.compare_n1ql_fts_scoring(n1ql_query=n1ql_query, raw_hits=raw_hits) def test_fuzzy_query(self): """ Test if fuzzy queries work fine """ test_data = [{"text":"simmer"}, {"text":"dimmer"}, {"text":"hammer"}, {"text":"shimmer"}, {"text":"rubber"}, {"text":"jabber"}, {"text":"kilmer"}, {"text":"year"}, {"text":"mumma"}, {"text":"tool stemmer"}, {"text":"he is weak at grammar"}, {"text":"sum of all the rows"}] self.create_test_dataset(self._master, test_data) self.wait_till_items_in_bucket_equal(items=len(test_data)) index = self.create_index(bucket=self._cb_cluster.get_bucket_by_name( 'default'), index_name="default_index") self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) if expected_hits: zero_results_ok = False query = eval(self._input.param("query", str(self.sample_query))) if isinstance(query, str): query = json.loads(query) zero_results_ok = True for index in self._cb_cluster.get_indexes(): hits, content, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True) self.log.info("Docs in Search results = %s" % content) self.log.info("Expected Docs = %s" % self.expected_docs) if hits>0: all_expected_docs_present = True for doc in self.expected_docs_list: all_expected_docs_present &= index.is_doc_present_in_query_result_content(content, doc) self.assertTrue(all_expected_docs_present, "All expected docs not in search results") def test_pagination_of_search_results(self): max_matches = self._input.param("query_max_matches", 10000000) show_results_from_item = self._input.param("show_results_from_item", 0) self.load_data() self.wait_till_items_in_bucket_equal(items = self._num_items//2) index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) default_query = {"match_all": "true", "field": "name"} query = eval(self._input.param("query", str(default_query))) if expected_hits: zero_results_ok = False if isinstance(query, str): query = json.loads(query) try: sort_params = self.build_sort_params() for index in self._cb_cluster.get_indexes(): hits, doc_ids, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, sort_fields=sort_params, show_results_from_item=show_results_from_item) self.log.info("Hits: %s" % hits) self.log.info("Doc IDs: %s" % doc_ids) if hits: self.log.info("Count of docs on page = %s" % len(doc_ids)) if (show_results_from_item >= 0 and show_results_from_item <=self._num_items): items_on_page = self._num_items - show_results_from_item elif show_results_from_item < 0: items_on_page = self._num_items show_results_from_item = 0 else: items_on_page = 0 expected_items_on_page = min(items_on_page, max_matches) self.assertEqual(len(doc_ids), expected_items_on_page, "Items per page are not correct") doc_id_prefix='emp' first_doc_id = 10000001 i = 0 expected_doc_present = True while i < expected_items_on_page: expected_doc_id = doc_id_prefix+str(first_doc_id+i+show_results_from_item) expected_doc_present &= (expected_doc_id in doc_ids) if not expected_doc_present: self.log.info("Doc ID %s not in the search results page" % expected_doc_id) i += 1 self.assertTrue(expected_doc_present, "Some docs not present in the results page") except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) def test_snippets_highlighting_of_search_term_in_results(self): self.load_data() index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() index.add_child_field_to_default_mapping("name", "text") index.add_child_field_to_default_mapping("manages.reports", "text") index.index_definition['uuid'] = index.get_uuid() index.update() self.sleep(10) self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) default_query = {"match": "Safiya", "field": "name"} query = eval(self._input.param("query", str(default_query))) if expected_hits: zero_results_ok = False if isinstance(query, str): query = json.loads(query) try: for index in self._cb_cluster.get_indexes(): n1ql_results = None if self.run_via_n1ql: n1ql_query = "select b, search_meta(b.oouutt) as meta from default b where " \ "search(b, {\"query\": " + json.dumps( query) + ", \"explain\": true, \"highlight\": {}},{\"out\": \"oouutt\"})" n1ql_results = self._cb_cluster.run_n1ql_query(query=n1ql_query) hits, contents, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True, highlight=True, highlight_style=self.highlight_style, highlight_fields=self.highlight_fields_list) self.log.info("Hits: %s" % hits) self.log.info("Content: %s" % contents) result = True self.expected_results = json.loads(self.expected_results) if hits: for expected_doc in self.expected_results: result &= index.validate_snippet_highlighting_in_result_content( contents, expected_doc['doc_id'], expected_doc['field_name'], expected_doc['term'], highlight_style=self.highlight_style) if self.run_via_n1ql: result &= index.validate_snippet_highlighting_in_result_content_n1ql( n1ql_results['results'], expected_doc['doc_id'], expected_doc['field_name'], expected_doc['term'], highlight_style=self.highlight_style) if not result: self.fail( "Testcase failed. Actual results do not match expected.") except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) def test_geo_query(self): """ Tests both geo location and bounding box queries compares results against ES :return: Nothing """ geo_index = self.create_geo_index_and_load() self.generate_random_geo_queries(geo_index, self.num_queries) if self.run_via_n1ql: n1ql_executor = self._cb_cluster else: n1ql_executor = None self.run_query_and_compare(geo_index, n1ql_executor=n1ql_executor) def test_geo_polygon_query(self): """ Tests both geo polygon queries compares results against ES :return: Nothing """ geo_index = self.create_geo_index_and_load() self.generate_random_geo_polygon_queries(geo_index, self.num_queries, self.polygon_feature, self.num_vertices) if self.run_via_n1ql: n1ql_executor = self._cb_cluster else: n1ql_executor = None self.run_query_and_compare(geo_index, n1ql_executor=n1ql_executor) def test_geo_polygon_on_edge_corner_query(self): expected_hits = int(self._input.param("expected_hits", 0)) expected_doc_ids = self._input.param("expected_doc_ids", None) polygon_points = str(self._input.param("polygon_points", None)) geo_index = self.create_geo_index_and_load() query = '{"field": "geo", "polygon_points" : ' + polygon_points + '}' self.log.info(query) query = json.loads(query) contents = "" for index in self._cb_cluster.get_indexes(): hits, contents, _, _ = index.execute_query(query=query, zero_results_ok=True, expected_hits=expected_hits, return_raw_hits=True) self.log.info("Hits: %s" % hits) self.log.info("Content: %s" % contents) for doc_id in expected_doc_ids.split(","): doc_exist = False for content in contents: if content['id'] == doc_id: self.log.info(content) doc_exist = True if not doc_exist: self.fail("expected doc_id : " + str(doc_id) + " does not exist") def test_geo_polygon_with_holes_must_not(self): geo_index = self.create_geo_index_and_load() query = '{"must": {"conjuncts": [{"field": "geo", "polygon_points": ' \ '[[-124.29807832031247, 38.01868304390075], ' \ '[-122.34800507812497, 37.12617594722073], [-120.52976777343747, 38.35114759945404], ' \ '[-120.72752167968747, 39.44978110907268], [-122.90834850139811, 40.22582625155702], ' \ '[-124.24868053264811, 39.61072953444142]]}]}, ' \ '"must_not": {"disjuncts": [{"field": "geo", "polygon_points": ' \ '[[-122.56773164062497, 39.72703407666045], ' \ '[-123.02915742187497, 38.96238669420149], [-122.07334687499997, 38.189396892659744], ' \ '[-120.79893281249997, 38.585519836298694]]}]}}' self.log.info(query) query = json.loads(query) for index in self._cb_cluster.get_indexes(): hits, contents, _, _ = index.execute_query(query=query, zero_results_ok=False, expected_hits=18, return_raw_hits=True) self.log.info("Hits: %s" % hits) self.log.info("Content: %s" % contents) def test_sort_geo_query(self): """ Generate random geo location queries and compare the results against Elasticsearch :return: Nothing """ geo_index = self.create_geo_index_and_load() from .random_query_generator.rand_query_gen import FTSESQueryGenerator testcase_failed = False for i in range(self.num_queries): self.log.info("Running Query no --> " + str(i)) fts_query, es_query = FTSESQueryGenerator.construct_geo_location_query() self.log.info(fts_query) self.log.info("fts_query location ---> " + str(fts_query["location"])) # If query has geo co-ordinates in form of an object if "lon" in fts_query["location"]: lon = fts_query["location"]["lon"] lat = fts_query["location"]["lat"] # If query has geo co-ordinates in form of a list elif isinstance(fts_query["location"], list): lon = fts_query["location"][0] lat = fts_query["location"][1] # If query has geo co-ordinates in form of a string or geohash elif isinstance(fts_query["location"], str): # If the location is in string format if "," in fts_query["location"]: lat = float(fts_query["location"].split(",")[0]) lon = float(fts_query["location"].split(",")[1]) else: lat = float(Geohash.decode(fts_query["location"])[0]) lon = float (Geohash.decode(fts_query["location"])[1]) unit = fts_query["distance"][-2:] location = None case = random.randint(0, 3) # Geo location as an object if case == 0: location = {"lon": lon, "lat": lat} # Geo Location as array if case == 1: location = [lon, lat] # Geo Location as string if case == 2: location = "{0},{1}".format(lat, lon) # Geo Location as Geohash if case == 3: geohash = Geohash.encode(lat, lon, precision=random.randint(3, 8)) location = geohash self.log.info("sort_fields_location ----> " + str(location)) sort_fields = [ { "by": "geo_distance", "field": "geo", "unit": unit, "location": location } ] hits, doc_ids, _, _ = geo_index.execute_query( query=fts_query, sort_fields=sort_fields) self.log.info("Hits from FTS: {0}".format(hits)) self.log.info("First 50 docIDs: {0}". format(doc_ids[:50])) sort_fields_es = [ { "_geo_distance": { "geo": location, "order": "asc", "unit": unit } } ] es_query["sort"] = sort_fields_es hits2, doc_ids2, _ = self.es.search(index_name="es_index", query=es_query) self.log.info("Hits from ES: {0}".format(hits2)) self.log.info("First 50 doc_ids: {0}".format(doc_ids2[:50])) if doc_ids==doc_ids2: self.log.info("PASS: Sort order matches!") else: msg = "FAIL: Sort order mismatch!" self.log.error(msg) testcase_failed = True self.log.info("--------------------------------------------------" "--------------------------------------------------") if testcase_failed: self.fail(msg) def test_xattr_support(self): """ Tests if setting includeXAttrs in index definition breaks anything :return: Nothing """ self.load_data() collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() index = self._cb_cluster.create_fts_index( name='default_index', source_name='default', collection_index=collection_index, _type=type, source_params={"includeXAttrs": True}, scope=index_scope, collections=index_collections) self.is_index_partitioned_balanced(index) self.wait_for_indexing_complete() if self._update or self._delete: self.async_perform_update_delete(self.upd_del_fields) if self._update: self.sleep(60, "Waiting for updates to get indexed...") self.wait_for_indexing_complete() self.generate_random_queries(index, self.num_queries, self.query_types) self.run_query_and_compare(index) def test_ssl(self): """ Tests if we are able to create an index and query over ssl port :return: Nothing """ fts_ssl_port=18094 import json, subprocess if self.container_type == 'bucket': idx = {"sourceName": "default", "sourceType": "couchbase", "type": "fulltext-index"} else: idx = {'type': 'fulltext-index', 'params': {'mapping': {'default_mapping': {'properties': {}, 'dynamic': False, 'enabled': False}, 'types': {self.scope+'.'+self.collection: {'default_analyzer': 'standard', 'dynamic': True, 'enabled': True}} }, 'doc_config': {'mode': 'scope.collection.type_field', 'type_field': 'type'}}, 'sourceType': 'couchbase', 'sourceName': 'default'} qry = {"indexName": "default_index_1", "query": {"field": "type", "match": "emp"}, "size": 10000000} self.load_data() cert = RestConnection(self._master).get_cluster_ceritificate() f = open('cert.pem', 'w') f.write(cert) f.close() fts_node = self._cb_cluster.get_random_fts_node() cmd = "curl -g -k "+\ "-XPUT -H \"Content-Type: application/json\" "+\ "-u Administrator:password "+\ "https://{0}:{1}/api/index/default_idx -d ".\ format(fts_node.ip, fts_ssl_port) +\ "\'{0}\'".format(json.dumps(idx)) self.log.info("Running command : {0}".format(cmd)) output = subprocess.check_output(cmd, shell=True) if json.loads(output)["status"] == "ok": query = "curl -g -k " + \ "-XPOST -H \"Content-Type: application/json\" " + \ "-u Administrator:password " + \ "https://{0}:18094/api/index/default_idx/query -d ". \ format(fts_node.ip, fts_ssl_port) + \ "\'{0}\'".format(json.dumps(qry)) self.sleep(20, "wait for indexing to complete") output = subprocess.check_output(query, shell=True) self.log.info("Hits: {0}".format(json.loads(output)["total_hits"])) if int(json.loads(output)["total_hits"]) != 1000: self.fail("Query over ssl failed!") else: self.fail("Index could not be created over ssl") def test_json_types(self): import couchbase self.load_data() self.create_simple_default_index() master = self._cb_cluster.get_master_node() dic ={} dic['null'] = None dic['number'] = 12345 dic['date'] = "2018-01-21T18:25:43-05:00" dic['bool'] = True dic['string'] = "sample string json" dic['array'] = ['element1', 1234, True] try: from couchbase.cluster import Cluster from couchbase.cluster import PasswordAuthenticator cluster = Cluster('couchbase://{0}'.format(master.ip)) authenticator = PasswordAuthenticator('Administrator', 'password') cluster.authenticate(authenticator) cb = cluster.open_bucket('default') if self.container_type == 'bucket': for key, value in list(dic.items()): cb.upsert(key, value) else: count = 1 for key, value in list(dic.items()): if not value: query = "insert into default:default." + self.scope + "." + self.collection + " (key,value) values ('key_" + str( count) + "', {'" + str(key) + "' : '" + str(value) + "'})" else: if isinstance(value, str): query = "insert into default:default."+self.scope+"."+self.collection+" (key,value) values ('key_"+str(count)+"', {'"+str(key)+"' : '"+str(value)+"'})" else: query = "insert into default:default."+self.scope+"."+self.collection+" (key,value) values ('key_"+str(count)+"', {'"+str(key)+"' : "+str(value)+"})" count += 1 cb.n1ql_query(query).execute() except Exception as e: self.fail(e) self.wait_for_indexing_complete() self.validate_index_count(equal_bucket_doc_count=True) for index in self._cb_cluster.get_indexes(): self.generate_random_queries(index, 5, self.query_types) self.run_query_and_compare(index) # This test is to validate if the value for score is 0 for all docs when score=none is specified in the search query. def test_score_none(self): # Create bucket, create index self.load_data() self.wait_till_items_in_bucket_equal(items=self._num_items // 2) index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) default_query = {"match": "Safiya", "field": "name"} query = eval(self._input.param("query", str(default_query))) if expected_hits: zero_results_ok = False if isinstance(query, str): query = json.loads(query) try: for index in self._cb_cluster.get_indexes(): hits, contents, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, expected_hits=expected_hits, return_raw_hits=True, score="none") self.log.info("Hits: %s" % hits) self.log.info("Content: %s" % contents) result = True if hits == expected_hits: for doc in contents: # Check if the score of the doc is 0. if "score" in doc: self.assertEqual(doc["score"], 0, "Score is not 0 for doc {0}".format(doc["id"])) else: self.fail("Score key not present in search results for doc {0}".format(doc["id"])) if not result: self.fail( "Testcase failed. Actual results do not match expected.") else: self.fail("No. of hits not matching expected hits. Hits = {0}, Expected Hits = {1}".format(hits, expected_hits)) except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) # This test checks the correctness of search results from queries with score=none and without score=none. def test_result_correctness_score_none(self): # Create bucket, create index self.load_data() self.wait_till_items_in_bucket_equal(items=self._num_items // 2) index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() zero_results_ok = True expected_hits = int(self._input.param("expected_hits", 0)) default_query = {"match": "Safiya", "field": "name"} query = eval(self._input.param("query", str(default_query))) if expected_hits: zero_results_ok = False if isinstance(query, str): query = json.loads(query) try: for index in self._cb_cluster.get_indexes(): hits, doc_ids_with_score_none, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, return_raw_hits=False, score="none") self.log.info("Hits: %s" % hits) self.log.info("Docs: %s" % doc_ids_with_score_none) doc_ids_with_score_none.sort() hits, doc_ids_without_score_none, _, _ = index.execute_query(query=query, zero_results_ok=zero_results_ok, return_raw_hits=False) self.log.info("Hits: %s" % hits) self.log.info("Docs: %s" % doc_ids_without_score_none) doc_ids_without_score_none.sort() self.assertListEqual(doc_ids_with_score_none, doc_ids_without_score_none, "Doc Ids not equal") except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) # Tests the ASCII folding filter with different types of accented characters def test_ascii_folding_filter(self): # Reference for test data : http://www.jarte.com/help_new/accent_marks_diacriticals_and_special_characters.html test_data = [ {"text": "Ápple"}, {"text": "Àpple"}, {"text": "Äpple"}, {"text": "Âpple"}, {"text": "Ãpple"}, {"text": "Åpple"}, {"text": "ápple"}, {"text": "àpple"}, {"text": "äpple"}, {"text": "âpple"}, {"text": "ãpple"}, {"text": "åpple"}, {"text": "Ðodge"}, {"text": "ðodge"}, {"text": "Élephant"}, {"text": "élephant"}, {"text": "Èlephant"}, {"text": "èlephant"}, {"text": "Ëlephant"}, {"text": "ëlephant"}, {"text": "Êlephant"}, {"text": "êlephant"}, {"text": "Íceland"}, {"text": "íceland"}, {"text": "Ìceland"}, {"text": "ìceland"}, {"text": "Ïceland"}, {"text": "ïceland"}, {"text": "Îceland"}, {"text": "îceland"}, {"text": "Órange"}, {"text": "órange"}, {"text": "Òrange"}, {"text": "òrange"}, {"text": "Örange"}, {"text": "örange"}, {"text": "Ôrange"}, {"text": "ôrange"}, {"text": "Õrange"}, {"text": "õrange"}, {"text": "Ørange"}, {"text": "ørange"}, {"text": "Únicorn"}, {"text": "únicorn"}, {"text": "Ùnicorn"}, {"text": "ùnicorn"}, {"text": "Ünicorn"}, {"text": "ünicorn"}, {"text": "Ûnicorn"}, {"text": "ûnicorn"}, {"text": "Ýellowstone"}, {"text": "ýellowstone"}, {"text": "Ÿellowstone"}, {"text": "ÿellowstone"}, {"text": "Ñocturnal"}, {"text": "ñocturnal"}, {"text": "Çelcius"}, {"text": "çelcius"}, {"text": "Œlcius"}, {"text": "œlcius"}, {"text": "Šmall"}, {"text": "šmall"}, {"text": "Žebra"}, {"text": "žebra"}, {"text": "Æsthetic"}, {"text": "æsthetic"}, {"text": "Þhonetic"}, {"text": "þhonetic"}, {"text": "Discuß"}, {"text": "ÆꜴ"} ] search_terms = [ {"term": "apple", "expected_hits": 6}, {"term": "Apple", "expected_hits": 6}, {"term": "dodge", "expected_hits": 1}, {"term": "Dodge", "expected_hits": 1}, {"term": "Elephant", "expected_hits": 4}, {"term": "elephant", "expected_hits": 4}, {"term": "iceland", "expected_hits": 4}, {"term": "Iceland", "expected_hits": 4}, {"term": "orange", "expected_hits": 6}, {"term": "Orange", "expected_hits": 6}, {"term": "unicorn", "expected_hits": 4}, {"term": "Unicorn", "expected_hits": 4}, {"term": "yellowstone", "expected_hits": 2}, {"term": "Yellowstone", "expected_hits": 2}, {"term": "nocturnal", "expected_hits": 1}, {"term": "Nocturnal", "expected_hits": 1}, {"term": "celcius", "expected_hits": 1}, {"term": "Celcius", "expected_hits": 1}, {"term": "oelcius", "expected_hits": 1}, {"term": "OElcius", "expected_hits": 1}, {"term": "small", "expected_hits": 1}, {"term": "Small", "expected_hits": 1}, {"term": "zebra", "expected_hits": 1}, {"term": "Zebra", "expected_hits": 1}, {"term": "aesthetic", "expected_hits": 1}, {"term": "AEsthetic", "expected_hits": 1}, {"term": "thhonetic", "expected_hits": 1}, {"term": "THhonetic", "expected_hits": 1}, {"term": "Discuss", "expected_hits": 1}, {"term": "AEAO", "expected_hits": 1} ] self.create_test_dataset(self._master, test_data) self.wait_till_items_in_bucket_equal(items=len(test_data)) index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() # Update index to have the child field "text" index.add_child_field_to_default_mapping("text", "text") index.index_definition['uuid'] = index.get_uuid() index.update() # Update index to have a custom analyzer which uses the ascii folding filter as a char filter index.index_definition["params"]["mapping"]["analysis"] = {} index.index_definition["params"]["mapping"]["analysis"] = json.loads( "{\"analyzers\": {\"asciiff\": {\"char_filters\": [\"asciifolding\"],\"tokenizer\": \"letter\",\"type\": \"custom\" }}}") index.index_definition["params"]["mapping"]["default_analyzer"] = "asciiff" index.index_definition['uuid'] = index.get_uuid() index.update() self.wait_for_indexing_complete() # Run queries try: for index in self._cb_cluster.get_indexes(): all_queries_passed = True failed_search_terms = [] for search_term in search_terms: self.log.info("=============== Querying for term {0} ===============".format(search_term["term"])) query = {'match': search_term["term"], 'field': 'text'} expected_hits = search_term["expected_hits"] hits, contents, _, _ = index.execute_query(query=query, zero_results_ok=True, return_raw_hits=True) self.log.info("Hits: %s" % hits) self.log.info("Content: %s" % contents) if hits != expected_hits: all_queries_passed = False failed_search_terms.append(search_term["term"]) self.assertTrue(all_queries_passed, "All search terms did not return expected results. Terms for which queries failed : {0}".format( str(failed_search_terms))) except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) def test_snowball_stemmer_token_filter(self): # Reference for test data : http://www.jarte.com/help_new/accent_marks_diacriticals_and_special_characters.html all_test_data = { "generic": [ {"text": "This is something else 1"}, {"text": "This is something else 2"}, {"text": "This is other indtadfgadad"}, {"text": "This is not that"} ], "test_hu_data": [ {"text": "This is babakocsi"}, {"text": "This is babakocsijáért"}, {"text": "This is babakocsit"}, {"text": "This is babakocsiért"} ], "test_da_data": [ {"text": "This is indtage"}, {"text": "This is indtagelse"}, {"text": "This is indtager"}, {"text": "This is indtages"}, {"text": "This is indtaget"} ], "test_fr_data": [ {"text": "This is continu"}, {"text": "This is continua"}, {"text": "This is continuait"}, {"text": "This is continuant"}, {"text": "This is continuation"} ], "test_en_data": [ {"text": "This is enjoying"}, {"text": "This is enjoys"}, {"text": "This is enjoy"}, {"text": "This is enjoyed"}, {"text": "This is enjoyments"} ], "test_it_data": [ {"text": "This is abbandonata"}, {"text": "This is abbandonate"}, {"text": "This is abbandonati"}, {"text": "This is abbandonato"}, {"text": "This is abbandonava"} ], "test_es_data": [ {"text": "This is torá"}, {"text": "This is toreado"}, {"text": "This is toreándolo"}, {"text": "This is toreara"}, {"text": "This is torear"} ], "test_de_data": [ {"text": "This is aufeinanderfolge"}, {"text": "This is aufeinanderfolgen"}, {"text": "This is aufeinanderfolgend"}, {"text": "This is aufeinanderfolgende"}, {"text": "This is aufeinanderfolgenden"} ] } all_search_terms = { "search_hu_terms": [ {"term": "babakocs", "expected_hits": 4} ], "search_da_terms": [ {"term": "indtag", "expected_hits": 5} ], "search_fr_terms": [ {"term": "continu", "expected_hits": 5} ], "search_en_terms": [ {"term": "enjoy", "expected_hits": 5} ], "search_it_terms": [ {"term": "abbandon", "expected_hits": 5} ], "search_es_terms": [ {"term": "tor", "expected_hits": 5} ], "search_de_terms": [ {"term": "aufeinanderfolg", "expected_hits": 5} ] } test_data = all_test_data[self._input.param("test_data", "test_da_data")] + all_test_data["generic"] search_terms = all_search_terms[self._input.param("search_terms", "search_da_terms")] token_filter = self._input.param("token_filter", "stemmer_da_snowball") self.create_test_dataset(self._master, test_data) self.wait_till_items_in_bucket_equal(items=len(test_data)) index = self.create_index( self._cb_cluster.get_bucket_by_name('default'), "default_index") self.wait_for_indexing_complete() # Update index to have the child field "text" index.add_child_field_to_default_mapping("text", "text") index.index_definition['uuid'] = index.get_uuid() index.update() # Update index to have a custom analyzer which uses the ascii folding filter as a char filter index.index_definition["params"]["mapping"]["analysis"] = {} index.index_definition["params"]["mapping"]["analysis"] = json.loads( "{\"analyzers\": {\"customAnalyzer1\": {\"token_filters\": [\"" + token_filter + "\"],\"tokenizer\": \"whitespace\",\"type\": \"custom\" }}}") index.index_definition["params"]["mapping"]["default_analyzer"] = "customAnalyzer1" index.index_definition['uuid'] = index.get_uuid() index.update() self.wait_for_indexing_complete() # Run queries try: for index in self._cb_cluster.get_indexes(): all_queries_passed = True failed_search_terms = [] for search_term in search_terms: self.log.info("=============== Querying for term {0} ===============".format(search_term["term"])) query = {'match': search_term["term"], 'field': 'text'} expected_hits = search_term["expected_hits"] hits, contents, _, _ = index.execute_query(query=query, zero_results_ok=True, return_raw_hits=True) self.log.info("Hits: %s" % hits) self.log.info("Content: %s" % contents) if hits != expected_hits: all_queries_passed = False failed_search_terms.append(search_term["term"]) self.assertTrue(all_queries_passed, "All search terms did not return expected results. Terms for which queries failed : {0}".format( str(failed_search_terms))) except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) def test_drop_index_container(self): rest = RestConnection(self._cb_cluster.get_random_fts_node()) drop_container = self._input.param("drop_container") drop_name = self._input.param("drop_name") plan_params = self.construct_plan_params() self.load_data(generator=None) self.wait_till_items_in_bucket_equal(self._num_items//2) self.create_fts_indexes_all_buckets(plan_params=plan_params) self.wait_for_indexing_complete() self.validate_index_count(equal_bucket_doc_count=True) if drop_container == 'collection': self.cli_client.delete_collection(scope=self.scope, collection=drop_name) elif drop_container == 'scope': self.cli_client.delete_scope(scope=drop_name) else: self._cb_cluster.delete_bucket("default") self.sleep(20) for idx in self._cb_cluster.get_indexes(): status,dfn = rest.get_fts_index_definition(idx.name) self.assertEqual(status, False, "FTS index was not dropped after kv container drop.") self._cb_cluster.get_indexes().remove(idx) def test_drop_busy_index_container_building(self): rest = RestConnection(self._cb_cluster.get_random_fts_node()) drop_container = self._input.param("drop_container") drop_name = self._input.param("drop_name") plan_params = self.construct_plan_params() self.load_data(generator=None) self.create_fts_indexes_all_buckets(plan_params=plan_params) if drop_container == 'collection': self.cli_client.delete_collection(scope=self.scope, collection=drop_name) elif drop_container == 'scope': self.cli_client.delete_scope(scope=drop_name) else: self._cb_cluster.delete_bucket("default") self.sleep(20) for idx in self._cb_cluster.get_indexes(): status,dfn = rest.get_fts_index_definition(idx.name) self.assertEqual(status, False, "FTS index was not dropped during index build.") self._cb_cluster.get_indexes().remove(idx) def test_drop_busy_index_container_scan(self): rest = RestConnection(self._cb_cluster.get_random_fts_node()) drop_container = self._input.param("drop_container") drop_name = self._input.param("drop_name") plan_params = self.construct_plan_params() self.load_data(generator=None) self.create_fts_indexes_all_buckets(plan_params=plan_params) self.wait_for_indexing_complete() index = self._cb_cluster.get_indexes()[0] query = self._input.param("query") import threading query_thread = threading.Thread(target=self._index_query_wrapper, args=(index, query)) drop_thread = threading.Thread(target=self._drop_container_wrapper, args=(drop_container, drop_name)) query_thread.daemon = True drop_thread.daemon = True query_thread.start() drop_thread.start() query_thread.join() drop_thread.join() self.sleep(30, "wait for index drop") for idx in self._cb_cluster.get_indexes(): status,dfn = rest.get_fts_index_definition(idx.name) self.assertEqual(status, False, "FTS index was not dropped during index scan.") self._cb_cluster.get_indexes().remove(idx) def test_drop_busy_index_container_mutations(self): rest = RestConnection(self._cb_cluster.get_random_fts_node()) drop_container = self._input.param("drop_container") drop_name = self._input.param("drop_name") plan_params = self.construct_plan_params() self.load_data(generator=None) self.create_fts_indexes_all_buckets(plan_params=plan_params) self.wait_for_indexing_complete() self._cb_cluster.run_n1ql_query(query=f"create primary index on default:default.{self.scope}.{self.collection}") index = self._cb_cluster.get_indexes()[0] query = f"update default:default.{self.scope}.{self.collection} set email='mutated@gmail.com'" import threading query_thread = threading.Thread(target=self._n1ql_query_wrapper, args=[query]) drop_thread = threading.Thread(target=self._drop_container_wrapper, args=(drop_container, drop_name)) query_thread.daemon = True drop_thread.daemon = True query_thread.start() drop_thread.start() query_thread.join() drop_thread.join() self.sleep(30, "wait for index drop") for idx in self._cb_cluster.get_indexes(): status,dfn = rest.get_fts_index_definition(idx.name) self.assertEqual(status, False, "FTS index was not dropped during index scan.") self._cb_cluster.get_indexes().remove(idx) def test_concurrent_drop_index_and_container(self): rest = RestConnection(self._cb_cluster.get_random_fts_node()) drop_container = self._input.param("drop_container") drop_name = self._input.param("drop_name") plan_params = self.construct_plan_params() self.load_data(generator=None) self.create_fts_indexes_all_buckets(plan_params=plan_params) self.wait_for_indexing_complete() index = self._cb_cluster.get_indexes()[0] import threading query_thread = threading.Thread(target=self._drop_index_wrapper, args=[index]) drop_thread = threading.Thread(target=self._drop_container_wrapper, args=(drop_container, drop_name)) query_thread.daemon = True drop_thread.daemon = True query_thread.start() drop_thread.start() query_thread.join() drop_thread.join() for idx in self._cb_cluster.get_indexes(): status,dfn = rest.get_fts_index_definition(idx.name) self.assertEqual(status, False, "FTS index was not dropped during index scan.") self._cb_cluster.get_indexes().remove(idx) def _drop_index_wrapper(self, index): index.delete() def _index_query_wrapper(self, index, query): index.execute_query(query) def _drop_container_wrapper(self, drop_container, drop_name): if drop_container == 'collection': self.cli_client.delete_collection(scope=self.scope, collection=drop_name) elif drop_container == 'scope': self.cli_client.delete_scope(scope=drop_name) else: self._cb_cluster.delete_bucket("default") def _n1ql_query_wrapper(self, n1ql_query): self._cb_cluster.run_n1ql_query(query=n1ql_query) def test_create_drop_index(self): self.load_data(generator=None) self.wait_till_items_in_bucket_equal(self._num_items//2) plan_params = self.construct_plan_params() self.create_fts_indexes_all_buckets(plan_params=plan_params) self.wait_for_indexing_complete() self.validate_index_count(equal_bucket_doc_count=True) for idx in self._cb_cluster.get_indexes(): idx.delete() self.assertEqual(len(self._cb_cluster.get_indexes()), 0, "FTS index cannot be deleted.") def test_create_index_multiple_scopes_negative(self): collection_index, type, index_scope, index_collections = self.define_index_parameters_collection_related() for bucket in self._cb_cluster.get_buckets(): try: self.create_index(bucket, "fts_idx", index_params=None, plan_params=None, collection_index=collection_index, _type=type, analyzer="standard", scope=index_scope, collections=index_collections) self.assertTrue(False, "Successfully created FTS index for collections from different buckets!") except Exception as ex: self.assertTrue(str(ex).find("Error creating index")>=0 and str(ex).find("multiple scopes found")>=0 and str(ex).find("index can only span collections on a single scope")>=0, "Non-expected error message is found while trying to create FTS index for more than one scope.") pass def test_create_index_missed_container_negative(self): missed_collection = 'missed_collection' missed_scope = 'missed_scope' _types = [f"{self.scope}.{missed_collection}", f"_default.{missed_collection}", f"{missed_scope}._default", f"{missed_scope}.{self.collection}", f"{missed_scope}.{missed_collection}"] self.load_data() collection_index = True for _type in _types: try: index = self._cb_cluster.create_fts_index( name='default_index', source_name='default', collection_index=collection_index, _type=_type, source_params={"includeXAttrs": True}) self.fail(f"FTS index is successfully created basing on non-existent kv container: {_type}") except Exception as e: self.log.info("Expected exception happened during fts index creation on missed kv container.") def prepare_for_score_none_fuzzy(self): fuzzy_dataset_size = self._input.param("fuzzy_dataset_size", "small") index_params = {} data_json = "" dataset = "" if "small" in fuzzy_dataset_size: data_json = "fuzzy_small_dataset.json" dataset = FUZZY_FTS_SMALL_DATASET index_params = INDEX_DEFAULTS.FUZZY_SMALL_INDEX_MAPPING self.query = QUERY.FUZZY_SMALL_INDEX_QUERY if "large" in fuzzy_dataset_size: data_json = "fuzzy_large_dataset.json" dataset = FUZZY_FTS_LARGE_DATASET index_params = INDEX_DEFAULTS.FUZZY_LARGE_INDEX_MAPPING self.query = QUERY.FUZZY_LARGE_INDEX_QUERY download_from_s3(dataset, "/tmp/" + data_json) self.cbimport_data(data_json_path="/tmp/" + data_json, server=self._cb_cluster.get_master_node()) self.sleep(10) self.fts_index = self._cb_cluster.create_fts_index(name="fuzzy_index", source_name="default", index_params=index_params) self.wait_for_indexing_complete() def test_score_none_fuzzy(self): self.prepare_for_score_none_fuzzy() expected_hits = 0 try: for index in self._cb_cluster.get_indexes(): expected_hits, contents, _, _ = index.execute_query(query=self.query, zero_results_ok=False, return_raw_hits=True) self.log.info("Hits: %s" % expected_hits) except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) try: for index in self._cb_cluster.get_indexes(): hits, contents, _, _ = index.execute_query(query=self.query, zero_results_ok=False, expected_hits=expected_hits, return_raw_hits=True, score="none") self.log.info("Hits: %s" % hits) result = True if hits == expected_hits: for doc in contents: # Check if the score of the doc is 0. if "score" in doc: self.assertEqual(doc["score"], 0, "Score is not 0 for doc {0}".format(doc["id"])) else: self.fail("Score key not present in search results for doc {0}".format(doc["id"])) if not result: self.fail( "Testcase failed. Actual results do not match expected.") else: self.fail("No. of hits not matching expected hits. Hits = {0}, Expected Hits = {1}".format(hits, expected_hits)) except Exception as err: self.log.error(err) self.fail("Testcase failed: " + str(err)) def test_mem_utilization_score_none_fuzzy(self): self.prepare_for_score_none_fuzzy() self.sleep(60, "Waiting for 1 min before before collecting mem_usage") fts_nodes_mem_usage = self.get_fts_ram_used() self.log.info("fts_nodes_mem_usage: {0}".format(fts_nodes_mem_usage)) self.fts_index.fts_queries.append(self.query) self.start_task_managers(10) for count in range(2000): for task_manager in self.task_managers: task_manager.schedule(ESRunQueryCompare(self.fts_index, self.es, query_index=0)) self.sleep(600) self.shutdown_task_managers() self.sleep(60, "Waiting for 1 min before checking cpu utilization/mem_high again") mem_high = False for node in fts_nodes_mem_usage: mem_high = mem_high or self.check_if_fts_ram_usage_high(node["nodeip"], 2.0*float(node["mem_usage"])) if mem_high: self.fail("CPU utilization or memory usage found to be high") def test_create_index_same_name_same_scope_negative(self): scope_name = self._input.param("scope", "_default") #delete unnecessary bucket self._cb_cluster.delete_bucket("default") #create bucket bucket_size = 200 bucket_priority = None bucket_type = TestInputSingleton.input.param("bucket_type", "membase") maxttl = TestInputSingleton.input.param("maxttl", None) self._cb_cluster.create_default_bucket( bucket_size, self._num_replicas, eviction_policy='valueOnly', bucket_priority=bucket_priority, bucket_type=bucket_type, maxttl=maxttl, bucket_storage='couchstore', bucket_name='bucket1') #create scope self.cli_client.create_scope(bucket='bucket1', scope=scope_name) #create collections with same name self.cli_client.create_collection(bucket='bucket1', scope=scope_name, collection='collection1') self.cli_client.create_collection(bucket='bucket1', scope=scope_name, collection='collection2') # create 2 indexes index1 = self.create_index(self._cb_cluster.get_bucket_by_name('bucket1'), "index1", collection_index=True, _type=f"{scope_name}.collection1", scope=scope_name, collections=["collection1"]) try: index2 = self.create_index(self._cb_cluster.get_bucket_by_name('bucket1'), "index1", collection_index=True, _type=f"{scope_name}.collection2", scope=scope_name, collections=["collection2"], no_check=True) except Exception as e: self.log.info("Exceptin caught ::"+str(e)+"::") return self.fail(f"Successfully created 2 indexes with same name in scope {scope_name}") def test_create_index_same_name_diff_scope_negative(self): #delete unnecessary bucket self._cb_cluster.delete_bucket("default") #create bucket bucket_size = 200 bucket_priority = None bucket_type = TestInputSingleton.input.param("bucket_type", "membase") maxttl = TestInputSingleton.input.param("maxttl", None) self._cb_cluster.create_default_bucket( bucket_size, self._num_replicas, eviction_policy='valueOnly', bucket_priority=bucket_priority, bucket_type=bucket_type, maxttl=maxttl, bucket_storage='couchstore', bucket_name='bucket1') #create scopes self.cli_client.create_scope(bucket='bucket1', scope="scope1") self.cli_client.create_scope(bucket='bucket1', scope="scope2") #create collections with same name self.cli_client.create_collection(bucket='bucket1', scope="scope1", collection='collection1') self.cli_client.create_collection(bucket='bucket1', scope="scope2", collection='collection1') # create 2 indexes index1 = self.create_index(self._cb_cluster.get_bucket_by_name('bucket1'), "index1", collection_index=True, _type="scope1.collection1", scope="scope1", collections=["collection1"]) try: index2 = self.create_index(self._cb_cluster.get_bucket_by_name('bucket1'), "index1", collection_index=True, _type="scope2.collection1", scope="scope2", collections=["collection1"], no_check=True) except Exception as e: self.log.info("Exception caught ::" + str(e) + "::") return self.fail("Failed creating 2 indexes with same name in different scopes ") test_data = { "doc_1": { "num": 1, "str": "str_1", "bool": True, "array": ["array1_1", "array1_2"], "obj": {"key": "key1", "val": "val1"}, "filler": "filler" }, "doc_2": { "num": 2, "str": "str_2", "bool": False, "array": ["array2_1", "array2_2"], "obj": {"key": "key2", "val": "val2"}, "filler": "filler" }, "doc_3": { "num": 3, "str": "str_3", "bool": True, "array": ["array3_1", "array3_2"], "obj": {"key": "key3", "val": "val3"}, "filler": "filler" }, "doc_4": { "num": 4, "str": "str_4", "bool": False, "array": ["array4_1", "array4_2"], "obj": {"key": "key4", "val": "val4"}, "filler": "filler" }, "doc_5": { "num": 5, "str": "str_5", "bool": True, "array": ["array5_1", "array5_2"], "obj": {"key": "key5", "val": "val5"}, "filler": "filler" }, "doc_10": { "num": 10, "str": "str_10", "bool": False, "array": ["array10_1", "array10_2"], "obj": {"key": "key10", "val": "val10"}, "filler": "filler" }, } def test_search_before(self): bucket = self._cb_cluster.get_bucket_by_name('default') self._load_search_before_search_after_test_data(bucket.name, self.test_data) index = self.create_index(bucket, "idx1") self.wait_for_indexing_complete(len(self.test_data)) full_size = len(self.test_data) partial_size = TestInputSingleton.input.param("partial_size", 1) partial_start_index = TestInputSingleton.input.param("partial_start_index", 3) sort_mode = eval(TestInputSingleton.input.param("sort_mode", '[_id]')) cluster = index.get_cluster() all_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": full_size, "sort": sort_mode} all_hits, all_matches, _, _ = cluster.run_fts_query(index.name, all_fts_query) search_before_param = all_matches[partial_start_index]['sort'] for i in range(0, len(search_before_param)): if search_before_param[i] == "_score": search_before_param[i] = str(all_matches[partial_start_index]['score']) search_before_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": partial_size, "sort": sort_mode, "search_before": search_before_param} _, search_before_matches, _, _ = cluster.run_fts_query(index.name, search_before_fts_query) all_results_ids = [] search_before_results_ids = [] for match in all_matches: all_results_ids.append(match['id']) for match in search_before_matches: search_before_results_ids.append(match['id']) for i in range(0, partial_size-1): if i in range(0, len(search_before_results_ids) - 1): if search_before_results_ids[i] != all_results_ids[partial_start_index-partial_size+i]: self.fail("test is failed") def test_search_after(self): bucket = self._cb_cluster.get_bucket_by_name('default') self._load_search_before_search_after_test_data(bucket.name, self.test_data) index = self.create_index(bucket, "idx1") self.wait_for_indexing_complete(len(self.test_data)) full_size = len(self.test_data) partial_size = TestInputSingleton.input.param("partial_size", 1) partial_start_index = TestInputSingleton.input.param("partial_start_index", 3) sort_mode = eval(TestInputSingleton.input.param("sort_mode", '[_id]')) cluster = index.get_cluster() all_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": full_size, "sort": sort_mode} all_hits, all_matches, _, _ = cluster.run_fts_query(index.name, all_fts_query) search_before_param = all_matches[partial_start_index]['sort'] for i in range(0, len(search_before_param)): if search_before_param[i] == "_score": search_before_param[i] = str(all_matches[partial_start_index]['score']) search_before_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": partial_size, "sort": sort_mode, "search_after": search_before_param} _, search_before_matches, _, _ = cluster.run_fts_query(index.name, search_before_fts_query) all_results_ids = [] search_before_results_ids = [] for match in all_matches: all_results_ids.append(match['id']) for match in search_before_matches: search_before_results_ids.append(match['id']) for i in range(0, partial_size-1): if i in range(0, len(search_before_results_ids)-1): if search_before_results_ids[i] != all_results_ids[partial_start_index+1+i]: self.fail("test is failed") def test_search_before_multi_fields(self): bucket = self._cb_cluster.get_bucket_by_name('default') self._load_search_before_search_after_test_data(bucket.name, self.test_data) index = self.create_index(bucket, "idx1") self.wait_for_indexing_complete(len(self.test_data)) full_size = len(self.test_data) partial_size = TestInputSingleton.input.param("partial_size", 1) partial_start_index = TestInputSingleton.input.param("partial_start_index", 3) sort_modes = ['str', 'num', 'bool', 'array', '_id', '_score'] sort_mode = [] fails = [] cluster = index.get_cluster() for i in range(0, len(sort_modes)): for j in range(0, len(sort_modes)): sort_mode.clear() if sort_modes[i] == sort_modes[j]: pass sort_mode.append(sort_modes[i]) sort_mode.append(sort_modes[j]) all_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": full_size, "sort": sort_mode} all_hits, all_matches, _, _ = cluster.run_fts_query(index.name, all_fts_query) search_before_param = all_matches[partial_start_index]['sort'] for i in range(0, len(search_before_param)): if search_before_param[i] == "_score": search_before_param[i] = str(all_matches[partial_start_index]['score']) search_before_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": partial_size, "sort": sort_mode, "search_before": search_before_param} _, search_before_matches, _, _ = cluster.run_fts_query(index.name, search_before_fts_query) all_results_ids = [] search_before_results_ids = [] for match in all_matches: all_results_ids.append(match['id']) for match in search_before_matches: search_before_results_ids.append(match['id']) for i in range(0, partial_size-1): if search_before_results_ids[i] != all_results_ids[full_size-partial_start_index-partial_size+i]: fails.append(str(sort_mode)) self.assertEqual(len(fails), 0, "Tests for the following sort modes are failed: "+str(fails)) def test_search_after_multi_fields(self): bucket = self._cb_cluster.get_bucket_by_name('default') self._load_search_before_search_after_test_data(bucket.name, self.test_data) index = self.create_index(bucket, "idx1") self.wait_for_indexing_complete(len(self.test_data)) full_size = len(self.test_data) partial_size = TestInputSingleton.input.param("partial_size", 1) partial_start_index = TestInputSingleton.input.param("partial_start_index", 3) sort_modes = ['str', 'num', 'bool', 'array', '_id', '_score'] sort_mode = [] fails = [] cluster = index.get_cluster() for i in range(0, len(sort_modes)): for j in range(0, len(sort_modes)): sort_mode.clear() if sort_modes[i] == sort_modes[j]: pass sort_mode.append(sort_modes[i]) sort_mode.append(sort_modes[j]) all_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": full_size, "sort": sort_mode} all_hits, all_matches, _, _ = cluster.run_fts_query(index.name, all_fts_query) search_before_param = all_matches[partial_start_index]['sort'] for i in range(0, len(search_before_param)): if search_before_param[i] == "_score": search_before_param[i] = str(all_matches[partial_start_index]['score']) search_before_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": partial_size, "sort": sort_mode, "search_after": search_before_param} _, search_before_matches, _, _ = cluster.run_fts_query(index.name, search_before_fts_query) all_results_ids = [] search_before_results_ids = [] for match in all_matches: all_results_ids.append(match['id']) for match in search_before_matches: search_before_results_ids.append(match['id']) for i in range(0, partial_size-1): if search_before_results_ids[i] != all_results_ids[partial_start_index+1+i]: fails.append(str(sort_mode)) self.assertEqual(len(fails), 0, "Tests for the following sort modes are failed: "+str(fails)) def test_search_before_search_after_negative(self): expected_error = "cannot use search after and search before together" bucket = self._cb_cluster.get_bucket_by_name('default') self._load_search_before_search_after_test_data(bucket.name, self.test_data) index = self.create_index(bucket, "idx1") self.wait_for_indexing_complete(len(self.test_data)) cluster = index.get_cluster() search_before_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"query": "filler:filler"},"size": 2, "search_before": ["doc_2"], "search_after": ["doc_4"], "sort": ["_id"]} response = cluster.run_fts_query_generalized(index.name, search_before_fts_query) if 'error' in response.keys(): self.assertTrue(str(response['error']).index(expected_error) > 0, "Cannot find expected error message.") else: self.fail("Incorrect query was executed successfully.") query_result = None def run_fts_query_wrapper(self, index, fts_query): cluster = index.get_cluster() _, self.query_result,_,_ = cluster.run_fts_query(index.name, fts_query) def test_concurrent_search_before_query_index_build(self): bucket = self._cb_cluster.get_bucket_by_name('default') self._load_search_before_search_after_test_data(bucket.name, self.test_data) index = self.create_index(bucket, "idx1") self.wait_for_indexing_complete(len(self.test_data)) cluster = index.get_cluster() search_before_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": 2, "sort": ["str"], "search_before": ["str_4"]} _, search_before_matches, _, _ = cluster.run_fts_query(index.name, search_before_fts_query) data_filler_thread = threading.Thread(target=self._load_search_before_search_after_additional_data, args=(bucket.name, 1000 , 20)) query_executor_thread = threading.Thread(target=self.run_fts_query_wrapper, args=(index, search_before_fts_query)) data_filler_thread.daemon = True data_filler_thread.start() self.sleep(10) query_executor_thread.daemon = True query_executor_thread.start() data_filler_thread.join() query_executor_thread.join() self.log.info("idle results ::"+str(search_before_matches)+"::") self.log.info("busy results ::"+str(self.query_result)+"::") idle_ids = [] busy_ids = [] for match in search_before_matches: idle_ids.append(match['id']) for match in self.query_result: busy_ids.append(match['id']) self.assertEqual(idle_ids, busy_ids, "Results for idle and busy index states are different.") def test_concurrent_search_after_query_index_build(self): bucket = self._cb_cluster.get_bucket_by_name('default') self._load_search_before_search_after_test_data(bucket.name, self.test_data) index = self.create_index(bucket, "idx1") self.wait_for_indexing_complete(len(self.test_data)) cluster = index.get_cluster() search_after_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": 2, "sort": ["str"], "search_after": ["str_2"]} _, search_after_matches, _, _ = cluster.run_fts_query(index.name, search_after_fts_query) data_filler_thread = threading.Thread(target=self._load_search_before_search_after_additional_data, args=(bucket.name, 1000 , 20)) query_executor_thread = threading.Thread(target=self.run_fts_query_wrapper, args=(index, search_after_fts_query)) data_filler_thread.daemon = True data_filler_thread.start() self.sleep(10) query_executor_thread.daemon = True query_executor_thread.start() data_filler_thread.join() query_executor_thread.join() idle_ids = [] busy_ids = [] for match in search_after_matches: idle_ids.append(match['id']) for match in self.query_result: busy_ids.append(match['id']) self.assertEqual(idle_ids, busy_ids, "Results for idle and busy index states are different.") def test_search_before_after_n1ql_function(self): bucket = self._cb_cluster.get_bucket_by_name('default') self._load_search_before_search_after_test_data(bucket.name, self.test_data) index = self.create_index(bucket, "idx1") direction = TestInputSingleton.input.param("direction", "search_before") self.wait_for_indexing_complete(len(self.test_data)) cluster = index.get_cluster() search_before_after_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"},"size": 2, "sort": ["_id"], direction: ["doc_2"]} _, fts_matches, _, _ = cluster.run_fts_query(index.name, search_before_after_fts_query) n1ql_query = 'select meta().id from '+bucket.name+' where search('+bucket.name+', {"explain": false, "fields": ["*"], "highlight": {}, "query": {"match": "filler", "field": "filler"}, "size": 2, "sort": ["_id"], "'+direction+'": ["doc_2"]})' n1ql_results = self._cb_cluster.run_n1ql_query(query=n1ql_query)['results'] fts_ids = [] n1ql_ids = [] for match in fts_matches: fts_ids.append(match['id']) for match in n1ql_results: n1ql_ids.append(match['id']) self.assertEqual(fts_ids, n1ql_ids, "Results for fts and n1ql queries are different.") def test_search_before_not_indexed_field(self): bucket = self._cb_cluster.get_bucket_by_name('default') self._load_search_before_search_after_test_data(bucket.name, self.test_data) index = self.create_index(bucket, "idx1") self.wait_for_indexing_complete(len(self.test_data)) full_size = len(self.test_data) partial_size = 2 partial_start_index = 3 index.index_definition['params']['doc_config'] = {} doc_config = {} doc_config['mode'] = 'type_field' doc_config['type_field'] = 'filler' index.index_definition['params']['doc_config'] = doc_config index.add_type_mapping_to_index_definition(type="filler", analyzer="standard") index.index_definition['params']['mapping'] = { "default_analyzer": "standard", "default_datetime_parser": "dateTimeOptional", "default_field": "_all", "default_mapping": { "dynamic": False, "enabled": False }, "default_type": "_default", "docvalues_dynamic": True, "index_dynamic": True, "store_dynamic": False, "type_field": "_type", "types": { "filler": { "default_analyzer": "standard", "dynamic": False, "enabled": True, "properties": { "num": { "enabled": True, "dynamic": False, "fields": [ { "docvalues": True, "include_term_vectors": True, "index": True, "name": "num", "type": "number" } ] } } } } } index.index_definition['uuid'] = index.get_uuid() index.update() self.wait_for_indexing_complete(len(self.test_data)) self.sleep(5) cluster = index.get_cluster() all_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"query": "num: >0"},"size": full_size, "sort": ["str"]} all_hits, all_matches, _, _ = cluster.run_fts_query(index.name, all_fts_query) search_before_param = all_matches[partial_start_index]['sort'] for i in range(0, len(search_before_param)): if search_before_param[i] == "_score": search_before_param[i] = str(all_matches[partial_start_index]['score']) search_before_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"query": "num: >0"},"size": partial_size, "sort": ["str"], "search_before": search_before_param} total_hits, hit_list, time_taken, status = cluster.run_fts_query(index.name, search_before_fts_query) self.assertEqual(total_hits, full_size, "search_before query for non-indexed field is failed.") def test_search_after_not_indexed_field(self): bucket = self._cb_cluster.get_bucket_by_name('default') self._load_search_before_search_after_test_data(bucket.name, self.test_data) index = self.create_index(bucket, "idx1") self.wait_for_indexing_complete(len(self.test_data)) full_size = len(self.test_data) partial_size = 2 partial_start_index = 3 index.index_definition['params']['doc_config'] = {} doc_config = {} doc_config['mode'] = 'type_field' doc_config['type_field'] = 'filler' index.index_definition['params']['doc_config'] = doc_config index.add_type_mapping_to_index_definition(type="filler", analyzer="standard") index.index_definition['params']['mapping'] = { "default_analyzer": "standard", "default_datetime_parser": "dateTimeOptional", "default_field": "_all", "default_mapping": { "dynamic": False, "enabled": False }, "default_type": "_default", "docvalues_dynamic": True, "index_dynamic": True, "store_dynamic": False, "type_field": "_type", "types": { "filler": { "default_analyzer": "standard", "dynamic": False, "enabled": True, "properties": { "num": { "enabled": True, "dynamic": False, "fields": [ { "docvalues": True, "include_term_vectors": True, "index": True, "name": "num", "type": "number" } ] } } } } } index.index_definition['uuid'] = index.get_uuid() index.update() self.wait_for_indexing_complete(len(self.test_data)) self.sleep(5) cluster = index.get_cluster() all_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"query": "num: >0"},"size": full_size, "sort": ["str"]} all_hits, all_matches, _, _ = cluster.run_fts_query(index.name, all_fts_query) search_after_param = all_matches[partial_start_index]['sort'] for i in range(0, len(search_after_param)): if search_after_param[i] == "_score": search_after_param[i] = str(all_matches[partial_start_index]['score']) search_after_fts_query = {"explain": False, "fields": ["*"], "highlight": {}, "query": {"query": "num: >0"},"size": partial_size, "sort": ["str"], "search_after": search_after_param} total_hits, hit_list, time_taken, status = cluster.run_fts_query(index.name, search_after_fts_query) self.assertEqual(total_hits, full_size, "search_after query for non-indexed field is failed.") def _load_search_before_search_after_test_data(self, bucket, test_data): for key in test_data: query = "insert into "+bucket+" (KEY, VALUE) VALUES " \ "('"+str(key)+"', " \ ""+str(test_data[key])+")" self._cb_cluster.run_n1ql_query(query=query) def _load_search_before_search_after_additional_data(self, bucket, num_records=5000, start_index=20): for i in range(start_index, num_records): query = 'insert into '+bucket+' (KEY, VALUE) VALUES ' \ '("doc_'+str(i)+'", ' \ '{' \ '"num": '+str(i)+',' \ '"str": "ystr_'+str(i)+'",' \ '"bool": False,' \ '"array": ["array'+str(i)+'_1", "array'+str(i)+'_2"],' \ '"obj": {"key": "key'+str(i)+'", "val": "val'+str(i)+'"},' \ '"filler": "filler"' \ '})' self._cb_cluster.run_n1ql_query(query=query) def _create_oso_containers(self, bucket=None, num_scopes=1, collections_per_scope=1, docs_per_collection=10000): load_tasks = [] for i in range(1, num_scopes+1): scope_name = "scope_"+str(i) self.cli_client.create_scope(bucket="default", scope=scope_name); self.sleep(10) for j in range(1, collections_per_scope+1): collection_name = "collection_"+str(j) self._cb_cluster._create_collection(bucket="default", scope=scope_name, collection=collection_name, cli_client=self.cli_client) #load data into collections gen_create = SDKDataLoader(num_ops=docs_per_collection, percent_create=100, percent_update=0, percent_delete=0, load_pattern="uniform", start_seq_num=1, key_prefix="doc_", key_suffix="_", scope=scope_name, collection=collection_name, json_template="emp", doc_expiry=0, doc_size=500, get_sdk_logs=False, username="Administrator", password="password", timeout=1000, start=0, end=0, op_type="create", all_collections=False, es_compare=False, es_host=None, es_port=None, es_login=None, es_password=None) load_tasks = self._cb_cluster.async_load_bucket_from_generator(bucket, gen_create) for task in load_tasks: task.result() def _fill_collection(self, bucket=None, scope=None, collection=None, num_docs=1000, start_seq_num=1): gen_create = SDKDataLoader(num_ops=num_docs, percent_create=100, percent_update=0, percent_delete=0, load_pattern="uniform", start_seq_num=start_seq_num, key_prefix="doc_", key_suffix="_", scope=scope, collection=collection, json_template="emp", doc_expiry=0, doc_size=500, get_sdk_logs=False, username="Administrator", password="password", timeout=1000, start=0, end=0, op_type="create", all_collections=False, es_compare=False, es_host=None, es_port=None, es_login=None, es_password=None)# load_tasks = self._cb_cluster.async_load_bucket_from_generator(bucket, gen_create) for task in load_tasks: task.result() def _update_collection(self, bucket=None, scope=None, collection=None, num_docs=1000, start=1): gen_create = SDKDataLoader(num_ops=num_docs, percent_create=0, percent_update=100, percent_delete=0, load_pattern="uniform", start_seq_num=start, key_prefix="doc_", key_suffix="_", scope=scope, collection=collection, json_template="emp", doc_expiry=0, doc_size=500, get_sdk_logs=False, username="Administrator", password="password", timeout=1000, start=start, end=start+num_docs, op_type="create", all_collections=False, es_compare=False, es_host=None, es_port=None, es_login=None, es_password=None) load_tasks = self._cb_cluster.async_load_bucket_from_generator(bucket, gen_create) for task in load_tasks: task.result() def _delete_from_collection(self, bucket=None, scope=None, collection=None, num_docs=1000, start=1): gen_create = SDKDataLoader(num_ops=num_docs, percent_create=0, percent_update=0, percent_delete=100, load_pattern="uniform", start_seq_num=start, key_prefix="doc_", key_suffix="_", scope=scope, collection=collection, json_template="emp", doc_expiry=0, doc_size=500, get_sdk_logs=False, username="Administrator", password="password", timeout=1000, start=start, end=start+num_docs, op_type="create", all_collections=False, es_compare=False, es_host=None, es_port=None, es_login=None, es_password=None) load_tasks = self._cb_cluster.async_load_bucket_from_generator(bucket, gen_create) for task in load_tasks: task.result() def test_index_creation_oso(self): rest = RestConnection(self._cb_cluster.get_random_fts_node()) rest.set_node_setting("useOSOBackfill", True) bucket = self._cb_cluster.get_bucket_by_name('default') num_scopes = TestInputSingleton.input.param("num_scopes", 5) collections_per_scope = TestInputSingleton.input.param("collections_per_scope", 20) docs_per_collection = TestInputSingleton.input.param("docs_per_collection", 10000) self._create_oso_containers(bucket=bucket, num_scopes=num_scopes, collections_per_scope=collections_per_scope, docs_per_collection=docs_per_collection) test_scope = "scope_"+str(num_scopes) test_collection = "test_collection" self._cb_cluster._create_collection(bucket="default", scope=test_scope, collection=test_collection, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=test_scope, collection=test_collection, num_docs=1000) test_index = self.create_index(self._cb_cluster.get_bucket_by_name('default'), "test_index", collection_index=True, _type=f"{test_scope}.{test_collection}", scope=test_scope, collections=[test_collection]) self.wait_for_indexing_complete_simple(item_count=1000, index=test_index) multi_collections = [] for i in range(1, 4): coll_name = test_collection + "_" + str(i) self._cb_cluster._create_collection(bucket="default", scope=test_scope, collection=coll_name, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=test_scope, collection=coll_name, num_docs=1000, start_seq_num=1000*i+1) multi_collections.append(coll_name) _type_multi = [] index_collections = [] for c in multi_collections: _type_multi.append(f"{test_scope}.{c}") index_collections.append(c) test_index_multi = self.create_index(self._cb_cluster.get_bucket_by_name('default'), "test_index_multi", collection_index=True, _type=_type_multi, scope=test_scope, collections=index_collections) self.wait_for_indexing_complete_simple(item_count=3000, index=test_index_multi) test_query = {"match": "emp", "field": "type"} hits_before, _, _, _ = test_index.execute_query(test_query) hits_before_multi, _, _, _ = test_index_multi.execute_query(test_query) additional_collections_per_scope = TestInputSingleton.input.param("additional_collections_per_scope", 2) for i in range(1, num_scopes+1): scope_name = "scope_" + str(i) for j in (collections_per_scope+2, additional_collections_per_scope+1): collection_name = "collection_" + str(j) self._cb_cluster._create_collection(bucket="default", scope=scope_name, collection=collection_name, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=scope_name, collection=collection_name) hits_after, _, _, _ = test_index.execute_query(test_query) hits_after_multi, _, _, _ = test_index_multi.execute_query(test_query) errors = [] try: self.assertEqual(hits_before, hits_after) except AssertionError as e: errors.append("Hits before and after additional data load do not match for single collection index.") try: self.assertEqual(hits_before_multi, hits_after_multi) except AssertionError as e: errors.append("Hits before and after additional data load do not match for multi collection index.") try: self.assertEqual(len(errors), 0) except AssertionError as ex: for err in errors: self.log.error(err) self.fail() def test_data_mutations_oso(self): rest = RestConnection(self._cb_cluster.get_random_fts_node()) rest.set_node_setting("useOSOBackfill", True) bucket = self._cb_cluster.get_bucket_by_name('default') num_scopes = TestInputSingleton.input.param("num_scopes", 5) collections_per_scope = TestInputSingleton.input.param("collections_per_scope", 20) docs_per_collection = TestInputSingleton.input.param("docs_per_collection", 10000) self._create_oso_containers(bucket=bucket, num_scopes=num_scopes, collections_per_scope=collections_per_scope, docs_per_collection=docs_per_collection) test_scope = "scope_"+str(num_scopes) test_collection = "test_collection" self._cb_cluster._create_collection(bucket="default", scope=test_scope, collection=test_collection, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=test_scope, collection=test_collection, num_docs=1000) test_index = self.create_index(self._cb_cluster.get_bucket_by_name('default'), "test_index", collection_index=True, _type=f"{test_scope}.{test_collection}", scope=test_scope, collections=[test_collection]) self.wait_for_indexing_complete_simple(item_count=1000, index=test_index) multi_collections = [] for i in range(1, 4): coll_name = test_collection + "_" + str(i) self._cb_cluster._create_collection(bucket="default", scope=test_scope, collection=coll_name, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=test_scope, collection=coll_name, num_docs=1000, start_seq_num=1000*i+1) multi_collections.append(coll_name) _type_multi = [] index_collections = [] for c in multi_collections: _type_multi.append(f"{test_scope}.{c}") index_collections.append(c) test_index_multi = self.create_index(self._cb_cluster.get_bucket_by_name('default'), "test_index_multi", collection_index=True, _type=_type_multi, scope=test_scope, collections=index_collections) self.wait_for_indexing_complete_simple(item_count=3000, index=test_index_multi) additional_collections_per_scope = TestInputSingleton.input.param("additional_collections_per_scope", 2) for i in range(1, num_scopes+1): scope_name = "scope_" + str(i) for j in (collections_per_scope+2, additional_collections_per_scope+1): collection_name = "collection_" + str(j) self._cb_cluster._create_collection(bucket="default", scope=scope_name, collection=collection_name, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=scope_name, collection=collection_name) for i in range(1, num_scopes+1): scope_name = "scope_" + str(i) for j in (1, additional_collections_per_scope+1): collection_name = "collection_" + str(j) self._update_collection(bucket=bucket, scope=scope_name, collection=collection_name) self._update_collection(bucket=bucket, scope=test_scope, collection=test_collection, num_docs=1000) for i in range(1, 4): self._update_collection(bucket=bucket, scope=test_scope, collection=test_collection+"_"+str(i), num_docs=1000, start=1000*i+1) self.wait_for_indexing_complete_simple(item_count=1000, index=test_index) self.wait_for_indexing_complete_simple(item_count=3000, index=test_index_multi) test_query = {"query": "mutated:1"} hits, _, _, _ = test_index.execute_query(test_query) hits_multi, _, _, _ = test_index_multi.execute_query(test_query) errors = [] try: self.assertEqual(hits, 1000) except AssertionError as e: errors.append("Full update of test collection is failed, or fts index produces wrong results for test query.") try: self.assertEqual(hits_multi, 3000) except AssertionError as e: errors.append("Full update of test collections for multi collection index is failed, or multi collections fts index produces wrong results for test query.") try: self.assertEqual(len(errors), 0) except AssertionError as ex: for err in errors: self.log.error(err) self.fail() def test_doc_id_oso(self): rest = RestConnection(self._cb_cluster.get_random_fts_node()) rest.set_node_setting("useOSOBackfill", True) bucket = self._cb_cluster.get_bucket_by_name('default') num_scopes = TestInputSingleton.input.param("num_scopes", 5) collections_per_scope = TestInputSingleton.input.param("collections_per_scope", 20) docs_per_collection = TestInputSingleton.input.param("docs_per_collection", 10000) self._create_oso_containers(bucket=bucket, num_scopes=num_scopes, collections_per_scope=collections_per_scope, docs_per_collection=docs_per_collection) test_scope = "scope_"+str(num_scopes) test_collection = "test_collection" self._cb_cluster._create_collection(bucket="default", scope=test_scope, collection=test_collection, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=test_scope, collection=test_collection, num_docs=1000, start_seq_num=1001) test_index = self.create_index(self._cb_cluster.get_bucket_by_name('default'), "test_index", collection_index=True, _type=f"{test_scope}.{test_collection}", scope=test_scope, collections=[test_collection]) additional_collections_per_scope = TestInputSingleton.input.param("additional_collections_per_scope", 2) for i in range(1, num_scopes+1): scope_name = "scope_" + str(i) for j in (collections_per_scope+2, additional_collections_per_scope+1): collection_name = "collection_" + str(j) self._cb_cluster._create_collection(bucket="default", scope=scope_name, collection=collection_name, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=scope_name, collection=collection_name) self._fill_collection(bucket=bucket, scope=test_scope, collection=test_collection, num_docs=1000, start_seq_num=1) test_query = {"match": "emp", "field": "type"} hits, _, _, _ = test_index.execute_query(test_query) self.assertEqual(hits, 2000, "Test for doc_id special load order is failed.") def test_partial_rollback_oso(self): from lib.memcached.helper.data_helper import MemcachedClientHelper #items = 50000, update = True, upd = 30, upd_del_fields = ['dept'] rest = RestConnection(self._cb_cluster.get_random_fts_node()) rest.set_node_setting("useOSOBackfill", True) bucket = self._cb_cluster.get_bucket_by_name("default") self._cb_cluster.flush_buckets([bucket]) num_scopes = TestInputSingleton.input.param("num_scopes", 5) collections_per_scope = TestInputSingleton.input.param("collections_per_scope", 20) docs_per_collection = TestInputSingleton.input.param("docs_per_collection", 10000) self._create_oso_containers(bucket=bucket, num_scopes=num_scopes, collections_per_scope=collections_per_scope, docs_per_collection=docs_per_collection) test_scope = "scope_"+str(num_scopes) test_collection = "test_collection" self._cb_cluster._create_collection(bucket="default", scope=test_scope, collection=test_collection, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=test_scope, collection=test_collection, num_docs=15000) test_index = self.create_index(self._cb_cluster.get_bucket_by_name('default'), "test_index", collection_index=True, _type=f"{test_scope}.{test_collection}", scope=test_scope, collections=[test_collection]) self.wait_for_indexing_complete_simple(item_count=15000, index=test_index) multi_collections = [] for i in range(1, 4): coll_name = test_collection + "_" + str(i) self._cb_cluster._create_collection(bucket="default", scope=test_scope, collection=coll_name, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=test_scope, collection=coll_name, num_docs=15000) multi_collections.append(coll_name) _type_multi = [] index_collections = [] for c in multi_collections: _type_multi.append(f"{test_scope}.{c}") index_collections.append(c) test_index_multi = self.create_index(self._cb_cluster.get_bucket_by_name('default'), "test_index_multi", collection_index=True, _type=_type_multi, scope=test_scope, collections=index_collections) self.wait_for_indexing_complete_simple(item_count=45000, index=test_index_multi) additional_collections_per_scope = TestInputSingleton.input.param("additional_collections_per_scope", 2) for i in range(1, num_scopes+1): scope_name = "scope_" + str(i) for j in (collections_per_scope+2, additional_collections_per_scope+1): collection_name = "collection_" + str(j) self._cb_cluster._create_collection(bucket="default", scope=scope_name, collection=collection_name, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=scope_name, collection=collection_name) for i in range(1, num_scopes+1): scope_name = "scope_" + str(i) for j in (1, additional_collections_per_scope+1): collection_name = "collection_" + str(j) self._update_collection(bucket=bucket, scope=scope_name, collection=collection_name) # Stop Persistence on Node A & Node B self.log.info("Stopping persistence on {0}". format(self._input.servers[:2])) mem_client = MemcachedClientHelper.direct_client(self._input.servers[0], bucket) mem_client.stop_persistence() mem_client = MemcachedClientHelper.direct_client(self._input.servers[1], bucket) mem_client.stop_persistence() # Perform mutations on the bucket if self._input.param("update", False): self._update_collection(bucket=bucket, scope=test_scope, collection=test_collection, num_docs=300) for i in range(1, 4): self._update_collection(bucket=bucket, scope=test_scope, collection=test_collection + "_" + str(i), num_docs=300, start=1000 * i + 1) if self._input.param("delete", False): self._delete_from_collection(bucket=bucket, scope=test_scope, collection=test_collection, num_docs=5000) for i in range(1, 4): self._delete_from_collection(bucket=bucket, scope=test_scope, collection="test_collection_"+str(i), num_docs=5000) self.wait_for_indexing_complete_simple(item_count=900, index=test_index) self.wait_for_indexing_complete_simple(item_count=2700, index=test_index_multi) # Run FTS Query to fetch the initial count of mutated items query = {"query": "mutated:>0"} hits1_simple_index, _, _, _ = test_index.execute_query(query) self.log.info("Hits for simple index before rollback: %s" % hits1_simple_index) hits1_multi_index, _, _, _ = test_index_multi.execute_query(query) self.log.info("Hits for multi index before rollback: %s" % hits1_multi_index) # Fetch count of docs in index and bucket before_simple_index_doc_count = test_index.get_indexed_doc_count() before_multi_index_doc_count = test_index_multi.get_indexed_doc_count() before_bucket_doc_count = test_index.get_src_bucket_doc_count() self.log.info("Docs in Bucket : %s, Docs in simple Index : %s, Docs in multi Index: %s" % ( before_bucket_doc_count, before_simple_index_doc_count, before_multi_index_doc_count)) # Kill memcached on Node A self.log.info("Killing memcached on {0}".format(self._master.ip)) shell = RemoteMachineShellConnection(self._master) shell.kill_memcached() # Start persistence on Node B self.log.info("Starting persistence on {0}". format(self._input.servers[1].ip)) mem_client = MemcachedClientHelper.direct_client(self._input.servers[1], bucket) mem_client.start_persistence() # Failover Node B failover_task = self._cb_cluster.async_failover( node=self._input.servers[1]) failover_task.result() # Wait for Failover & FTS index rollback to complete self.wait_for_indexing_complete_simple(item_count=900, index=test_index) self.wait_for_indexing_complete_simple(item_count=2700, index=test_index_multi) # Run FTS query to fetch count of mutated items post rollback. hits2_simple_index, _, _, _ = test_index.execute_query(query) self.log.info("Hits for simple index after rollback: %s" % hits2_simple_index) hits2_multi_index, _, _, _ = test_index_multi.execute_query(query) self.log.info("Hits for multi index after rollback: %s" % hits2_multi_index) # Fetch count of docs in index and bucket after_simple_index_doc_count = test_index.get_indexed_doc_count() after_multi_index_doc_count = test_index_multi.get_indexed_doc_count() after_bucket_doc_count = test_index.get_src_bucket_doc_count() self.log.info("Docs in Bucket : %s, Docs in simple Index : %s, Docs in multi Index: %s" % ( after_bucket_doc_count, after_simple_index_doc_count, after_multi_index_doc_count)) # Validation : If there are deletes, validate the #docs in index goes # up post rollback if self._input.param("delete", False): self.assertGreater(after_simple_index_doc_count, before_simple_index_doc_count, "Deletes : Simple index count after rollback not " "greater than before rollback") self.assertGreater(after_multi_index_doc_count, before_multi_index_doc_count, "Deletes : Multi index count after rollback not " "greater than before rollback") else: # For Updates, validate that #hits goes down in the query output # post rollback self.assertGreater(hits1_simple_index, hits2_simple_index, "Mutated items before rollback are not more " "than after rollback for simple index") self.assertGreater(hits1_multi_index, hits2_multi_index, "Mutated items before rollback are not more " "than after rollback for multi index") # Failover FTS node failover_fts_node = self._input.param("failover_fts_node", False) if failover_fts_node: failover_task = self._cb_cluster.async_failover( num_nodes=1) failover_task.result() self.sleep(10) # Run FTS query to fetch count of mutated items post FTS node failover. hits3_simple_index, _, _, _ = test_index.execute_query(query) hits3_multi_index, _, _, _ = test_index_multi.execute_query(query) self.log.info( "Hits after rollback and failover of primary FTS node for simple index: %s" % hits3_simple_index) self.log.info( "Hits after rollback and failover of primary FTS node for multi index: %s" % hits3_multi_index) self.assertEqual(hits2_simple_index, hits3_simple_index, "Mutated items after FTS node failover are not equal to that after rollback for simple index") self.assertEqual(hits2_multi_index, hits3_multi_index, "Mutated items after FTS node failover are not equal to that after rollback for multi index") def test_flush_bucket_oso(self): rest = RestConnection(self._cb_cluster.get_random_fts_node()) rest.set_node_setting("useOSOBackfill", True) bucket = self._cb_cluster.get_bucket_by_name('default') num_scopes = TestInputSingleton.input.param("num_scopes", 5) collections_per_scope = TestInputSingleton.input.param("collections_per_scope", 20) docs_per_collection = TestInputSingleton.input.param("docs_per_collection", 10000) self._create_oso_containers(bucket=bucket, num_scopes=num_scopes, collections_per_scope=collections_per_scope, docs_per_collection=docs_per_collection) test_scope = "scope_"+str(num_scopes) test_collection = "test_collection" self._cb_cluster._create_collection(bucket="default", scope=test_scope, collection=test_collection, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=test_scope, collection=test_collection, num_docs=1000) test_index = self.create_index(self._cb_cluster.get_bucket_by_name('default'), "test_index", collection_index=True, _type=f"{test_scope}.{test_collection}", scope=test_scope, collections=[test_collection]) self.wait_for_indexing_complete_simple(item_count=1000, index=test_index) multi_collections = [] for i in range(1, 4): coll_name = test_collection + "_" + str(i) self._cb_cluster._create_collection(bucket="default", scope=test_scope, collection=coll_name, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=test_scope, collection=coll_name, num_docs=1000, start_seq_num=1000*i+1) multi_collections.append(coll_name) _type_multi = [] index_collections = [] for c in multi_collections: _type_multi.append(f"{test_scope}.{c}") index_collections.append(c) test_index_multi = self.create_index(self._cb_cluster.get_bucket_by_name('default'), "test_index_multi", collection_index=True, _type=_type_multi, scope=test_scope, collections=index_collections) self.wait_for_indexing_complete_simple(item_count=3000, index=test_index_multi) additional_collections_per_scope = TestInputSingleton.input.param("additional_collections_per_scope", 2) for i in range(1, num_scopes+1): scope_name = "scope_" + str(i) for j in (collections_per_scope+2, additional_collections_per_scope+1): collection_name = "collection_" + str(j) self._cb_cluster._create_collection(bucket="default", scope=scope_name, collection=collection_name, cli_client=self.cli_client) self._fill_collection(bucket=bucket, scope=scope_name, collection=collection_name) for i in range(1, num_scopes+1): scope_name = "scope_" + str(i) for j in (1, additional_collections_per_scope+1): collection_name = "collection_" + str(j) self._update_collection(bucket=bucket, scope=scope_name, collection=collection_name) self._update_collection(bucket=bucket, scope=test_scope, collection=test_collection, num_docs=1000) for i in range(1, 4): self._update_collection(bucket=bucket, scope=test_scope, collection=test_collection+"_"+str(i), num_docs=1000, start=1000*i+1) self.wait_for_indexing_complete_simple(item_count=1000, index=test_index) self.wait_for_indexing_complete_simple(item_count=3000, index=test_index_multi) self._cb_cluster.flush_buckets([bucket]) self.sleep(60, "Waiting for flush to be happened.") simple_index_doc_count = test_index.get_indexed_doc_count() multi_index_doc_count = test_index_multi.get_indexed_doc_count() bucket_doc_count = test_index.get_src_bucket_doc_count() errors = [] try: self.assertEquals(simple_index_doc_count, 0) except AssertionError as e: errors.append("Simple index contains documents after source bucket flush") try: self.assertEquals(multi_index_doc_count, 0) except AssertionError as e: errors.append("Multi index contains documents after source bucket flush") try: self.assertEquals(bucket_doc_count, 0) except AssertionError as e: errors.append("Source bucket contains documents after source bucket flush") try: self.assertEqual(len(errors), 0) except AssertionError as ex: for err in errors: self.log.error(err) self.fail()

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52ac2f7a93134c5d53333dca08137a98d467fe3c

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py

Python

py_casim/casim.py

Sergeileduc/py_casim

a464c99c2acea003061dde3f49245a3f6a576ade

[ "MIT" ]

2

2020-02-16T22:17:25.000Z

2020-02-17T19:21:10.000Z

py_casim/casim.py

Sergeileduc/py-casim

a464c99c2acea003061dde3f49245a3f6a576ade

[ "MIT" ]

2

2021-03-17T08:48:51.000Z

2021-03-17T14:59:38.000Z

py_casim/casim.py

Sergeileduc/py-casim

a464c99c2acea003061dde3f49245a3f6a576ade

[ "MIT" ]

1

2020-07-22T08:55:53.000Z

"""Code to upload an image and get his share url.""" import logging from pathlib import Path import requests from .tools import (get_all_shares, get_all_shares_loggedin, get_folder_id, get_image_id, get_share, get_share_loggedin) logger = logging.getLogger(__name__) class Casim(): """Upload image to Casimages and get share url/code.""" # CASIMAGES _url = "https://www.casimages.com/" _url_upload = "https://www.casimages.com/upload_ano_multi.php" _url_casi_share = "https://www.casimages.com/codes_ano_multi.php" _url_resize = "https://www.casimages.com/ajax/s_ano_resize.php" #: Valid resize values for resize keyword argument resize_values = ["100", "125", "320", "640", "800", "1024", "1280", "1600"] _headers = { "Accept": "application/json", "Accept-Language": "fr,fr-FR;q=0.8,en-US;q=0.5,en;q=0.3", "Accept-Encoding": "gzip, deflate, br", "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:69.0) Gecko/20100101 Firefox/69.0", # noqa: E501 "Cache-Control": "no-cache", "Connection": "keep-alive", "Pragma": "no-cache", "X-Requested-With": "XMLHttpRequest" } def __init__(self, image, resize=None): """Init Casim() object with image path, and optionnal resize value.""" self.image = image self.resize = resize if str(resize) in self.resize_values else None self.image_id = None self.session = requests.Session() # Session (keep cookies) self.session.get(Casim._url) # Init for cookies self._set_resize() logger.info('casim created with image: "%s" and resize: %s', self.image, self.resize) def __repr__(self): return f'Casim({self.image}, resize={self.resize})' def _set_resize(self): if self.resize: params = {"dim": self.resize} self.session.get(Casim._url_resize, params=params) logger.info('ask for resize with value %s', self.resize) def _upload_image(self): """Upload image and return id.""" with open(self.image, 'rb') as f: file_ = {'Filedata': ('image', f, 'image/jpg')} r = self.session.post(Casim._url_upload, files=file_, headers=Casim._headers) self.image_id = r.text # casimages share page ID logger.info('upload is ok, image id is %s', self.image_id) return self.image_id def _get_share(self, index=None): """Get share link/code. Args: index (int, optional): sqdfsdf. Defaults to None. 0 : Direct link (Mail & Messenger) 1 : Direct link (Forum, Blog, Site) 2 : HTML Code Thumbnail 3 : HTML Code Big 4 : Forum BBCode Thumbnail 5 : Forum BBCode Big 6 : Source Link Thumbnail 7 : Source Link Big Returns: str (or list): image share url (or list of share urls) """ params = {"img": self.image_id} r = self.session.get(Casim._url_casi_share, params=params) logger.info('get() on share page returns code : %d', r.status_code) return get_share(r.text, index) if index else get_all_shares(r.text) def get_link(self): """Upload image and return share link (Big source link). Perform same thing as get_share_code(index=7). """ self._upload_image() return self._get_share(7) def get_share_code(self, index=0): """Get share link/code. Args: index (int, optional): Url/code choice. Defaults to 0. 0 : Direct link (Mail & Messenger) 1 : Direct link (Forum, Blog, Site) 2 : HTML Code Thumbnail 3 : HTML Code Big 4 : Forum BBCode Thumbnail 5 : Forum BBCode Big 6 : Source Link Thumbnail 7 : Source Link Big Returns: str: image share url/code """ self._upload_image() return self._get_share(index) def get_all(self): """Get list of all links/code. * Direct link (Mail & Messenger) * Direct link (Forum, Blog, Site) * HTML Code Thumbnail * HTML Code Big * Forum BBCode Thumbnail * Forum BBCode Big * Source Link Thumbnail * Source Link Big Returns: list -- all image share codes/links """ self._upload_image() return self._get_share() class CasimLogged(): """Upload image to Casimages account and get share url/code.""" # CASIMAGES _url = "https://www.casimages.com/" _url_login = "https://www.casimages.com/connexion" _url_resize = "https://www.casimages.com/ajax/m_photos_p_resize.php" _url_upload = "https://www.casimages.com/upload_mb_dz_img.php" _url_casi_share = "https://www.casimages.com/ajax/m_photos_codes_img.php" # noqa: E501 _url_m_photos = "https://www.casimages.com/m_photos" _url_search = "https://www.casimages.com/m_rechercher" #: Valid resize values for resize keyword argument resize_values = ["100", "125", "320", "640", "800", "1024", "1280", "1600"] _headers = { "Accept": "application/json", "Accept-Language": "fr,fr-FR;q=0.8,en-US;q=0.5,en;q=0.3", "Accept-Encoding": "gzip, deflate, br", "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:69.0) Gecko/20100101 Firefox/69.0", # noqa: E501 "Cache-Control": "no-cache", "Connection": "keep-alive", "Pragma": "no-cache", "X-Requested-With": "XMLHttpRequest" } def __init__(self, image, resize=None): """Init Casim() object with image path, and optionnal resize value.""" self.image = Path(image) self.resize = resize if str(resize) in self.resize_values else None self.image_id = None self.loggedin = False self.session = requests.Session() # Session (keep cookies) self.session.get(Casim._url) # Init for cookies logger.info('casim created with image: "%s" and resize: %s', self.image, self.resize) def __repr__(self): return f'Casim({self.image}, resize={self.resize})' def login(self, email, mdp): """Connect to Casimages with your own account.""" self.session.get(CasimLogged._url_login) payload = {"email": email, "mdp": mdp} self.session.post(CasimLogged._url_login, data=payload) self.loggedin = True def change_folder(self, name): """Change destination folder. Folder named "name" should exist.""" r = self.session.get(CasimLogged._url_m_photos) folder_id = get_folder_id(r.text, name) if folder_id: payload = {"alb": folder_id} r = self.session.get(CasimLogged._url_m_photos, params=payload) def _set_resize(self): if self.resize: params = {"dim": self.resize} self.session.get(self._url_resize, params=params) logger.info('ask for resize with value %s', self.resize) def _upload_image(self): """Upload image and return id.""" self._set_resize() with open(self.image, 'rb') as f: file_ = {'Filedata': (self.image.name, f, 'image/jpg')} self.session.post(CasimLogged._url_upload, files=file_, headers=CasimLogged._headers) logger.info('upload is ok') def _get_share(self, index=None): """Get share link/code. Args: index (int, optional): sqdfsdf. Defaults to None. 0 : Direct link (Mail & Messenger) 1 : Direct link (Forum, Blog, Site) 2 : HTML Code Thumbnail 3 : HTML Code Big 4 : Forum BBCode Thumbnail 5 : Forum BBCode Big 6 : Source Link Thumbnail 7 : Source Link Big Returns: str (or list): image share url (or list of share urls) """ payload = {"wf": "images", "q": self.image.name} r = self.session.post(CasimLogged._url_search, params=payload) image_id = get_image_id(r.text, self.image.name) if image_id: params = {"codimg": image_id} r = self.session.get(CasimLogged._url_casi_share, params=params) return get_share_loggedin(r.text, index) if index else get_all_shares_loggedin(r.text) # noqa: E501 def get_link(self): """Upload image and return share link (Big source link). Perform same thing as get_share_code(index=7). """ self._upload_image() return self._get_share(7) def get_share_code(self, index=0): """Get share link/code. Args: index (int, optional): Url/code choice. Defaults to 0. 0 : Direct link (Mail & Messenger) 1 : Direct link (Forum, Blog, Site) 2 : HTML Code Thumbnail 3 : HTML Code Big 4 : Forum BBCode Thumbnail 5 : Forum BBCode Big 6 : Source Link Thumbnail 7 : Source Link Big Returns: str: image share url/code """ self._upload_image() return self._get_share(index) def get_all(self): """Get list of all links/code. * Direct link (Mail & Messenger) * Direct link (Forum, Blog, Site) * HTML Code Thumbnail * HTML Code Big * Forum BBCode Thumbnail * Forum BBCode Big * Source Link Thumbnail * Source Link Big Returns: list -- all image share codes/links """ self._upload_image() return self._get_share()

35.443262

112

0.573787

1,255

9,995

4.416733

0.155378

0.031752

0.033736

0.03969

0.800108

0.746166

0.741295

0.7081

0.682482

0.658308

0

0.023553

0.311856

9,995

281

113

35.569395

0.78235

0.316158

0

0.569231

0

0.030769

0.232432

0.018346

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1

0.138462

false

0

0.030769

0.015385

0.384615

0

null

0

1

0

1

0

null

0

5

52b5400d362fd2f963ce671487afb6fba86ac6db

1,539

py

Python

network/tests/common.py

glasser/integrations-core

1dd515d49b1690a1369ee5195713605b1b072b1f

[ "BSD-3-Clause" ]

2

2019-05-28T03:48:29.000Z

2019-07-05T07:05:58.000Z

network/tests/common.py

glasser/integrations-core

1dd515d49b1690a1369ee5195713605b1b072b1f

[ "BSD-3-Clause" ]

4

2019-07-03T02:53:19.000Z

2019-07-10T14:52:14.000Z

network/tests/common.py

glasser/integrations-core

1dd515d49b1690a1369ee5195713605b1b072b1f

[ "BSD-3-Clause" ]

1

2019-12-23T13:35:17.000Z

# (C) Datadog, Inc. 2019 # All rights reserved # Licensed under Simplified BSD License (see LICENSE) from datadog_checks.dev import get_here HERE = get_here() SERVICE_CHECK_NAME = "network" INSTANCE = {"collect_connection_state": True} INSTANCE_BLACKLIST = {"collect_connection_state": True, "blacklist_conntrack_metrics": ["count"]} EXPECTED_METRICS = [ 'system.net.bytes_rcvd', 'system.net.bytes_sent', 'system.net.packets_in.count', 'system.net.packets_in.error', 'system.net.packets_out.count', 'system.net.packets_out.error', ] CONNTRACK_METRICS = [ 'system.net.conntrack.acct', 'system.net.conntrack.buckets', 'system.net.conntrack.checksum', 'system.net.conntrack.events', 'system.net.conntrack.expect_max', 'system.net.conntrack.generic_timeout', 'system.net.conntrack.helper', 'system.net.conntrack.log_invalid', 'system.net.conntrack.max', 'system.net.conntrack.tcp_loose', 'system.net.conntrack.tcp_max_retrans', 'system.net.conntrack.tcp_timeout_close', 'system.net.conntrack.tcp_timeout_close_wait', 'system.net.conntrack.tcp_timeout_established', 'system.net.conntrack.tcp_timeout_fin_wait', 'system.net.conntrack.tcp_timeout_last_ack', 'system.net.conntrack.tcp_timeout_max_retrans', 'system.net.conntrack.tcp_timeout_syn_recv', 'system.net.conntrack.tcp_timeout_syn_sent', 'system.net.conntrack.tcp_timeout_time_wait', 'system.net.conntrack.tcp_timeout_unacknowledged', 'system.net.conntrack.timestamp', ]

33.456522

97

0.741391

196

1,539

5.55102

0.341837

0.231618

0.363971

0.231618

0.301471

0.224265

0.069853

0

0.002965

0.123457

1,539

45

98

34.2

0.803558

0.061079

0

0.705066

0.696738

0

1

0

false

0

0.027027

0

0.027027

0

null

1

0

1

null

0

5

52b7fb203d8c122ada32eb085f88a8b51fc19ac9

70

py

Python

ColorCode.py

ashams-random/Data-Structures-using-Python

50f6cf55320c6cdbc2f27ea31a9ef943cc1dbc89

[ "Apache-2.0" ]

null

ColorCode.py

ashams-random/Data-Structures-using-Python

50f6cf55320c6cdbc2f27ea31a9ef943cc1dbc89

[ "Apache-2.0" ]

7

2021-10-05T17:31:16.000Z

2021-10-05T18:12:28.000Z

ColorCode.py

ashams-random/Data-Structures-using-Python

50f6cf55320c6cdbc2f27ea31a9ef943cc1dbc89

[ "Apache-2.0" ]

7

2021-10-04T05:33:50.000Z

2021-10-05T18:09:30.000Z

print('\x1b[38;2;5;86;243m' + 'Welcome to my color code' + '\x1b[0m')

35

69

0.614286

14

70

3.071429

0.928571

0

0.196721

0.128571

70

1

70

0.508197

0

0.714286

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

52d28d70576546acbe3716d57f9fe9af5b2a0a19

10,169

py

Python

tests/gpfunction_test.py

ccube-eml/worker

a0e413bb330bf06db6880ab1a85647069c385fbb

[ "MIT" ]

null

tests/gpfunction_test.py

ccube-eml/worker

a0e413bb330bf06db6880ab1a85647069c385fbb

[ "MIT" ]

null

tests/gpfunction_test.py

ccube-eml/worker

a0e413bb330bf06db6880ab1a85647069c385fbb

[ "MIT" ]

null

import unittest import os import tempfile import shutil from click.testing import CliRunner from worker import __main__ from worker.amqp_manager import AMQPManager THIS_DIRECTORY_PATH = os.path.dirname(os.path.abspath(__file__)) JOB_NAME = 'gpfunction' AMQP_HOSTNAME = 'localhost' LEARN_TASKS = [ { 'job_name': 'gpfunction', 'task_number': 0, 'dataset_name': 'higgs', 'training_rate': 0.5, 'fusion_rate': 0.3, 'sample_rate': 0.1, 'class_attribute': 'label', 'class_attribute_type': 'integer', 'true_class_value': '1', 'include_attributes': [], 'exclude_attributes': [], 'attributes_rate': 0.5, 'random_seed': 0, 'include_header': False, 'duration': 60, 'learn_parameters': { 'xover_op': 'operator.SinglePointKozaCrossover', 'external_threads': 4, 'false_negative_weight': 0.5, 'pop_size': 500, }, }, ] LEARN_COMMAND = 'java -jar gpfunction.jar ' \ '-train ${CCUBE_LEARN_DATASET_FILE} ' \ '-minutes ${CCUBE_LEARN_DURATION_MINUTES} ' \ '-properties ${CCUBE_LEARN_PARAMETERS_PROPERTIES_FILE}' LEARN_OUTPUT_FILES = '${CCUBE_LEARN_WORKING_DIRECTORY}/mostAccurate.txt' LEARN_EXECUTABLE_FILE = 'resources/learners/gpfunction.jar' LEARN_OUTPUTS = [ { 'success': True, 'files': 'UEsDBBQAAAAIADsDQUpa/W2KrgAAAIABAAAQAAAAbW9zdEFjY3VyYXRlLnR4dI1Oyw6CMBC8+xV7\nbBFJX3S7f9KrAjEkIipi5O8tDxESTZyk3dnHTIZtgRXPC7BQd8CqLi8fZV6AN+Cl4cAi8BpYc233\nt2K4qrpTfZyWTXnuZx4HcdYewklWN2ufT7Ng0Sj2wWV4cvoCQuUjAgv0nS3q26W1HhW/M84R+839\njwvv+AzwxHksErJKo0mdJE1IZL6PFK2hw8waic4YS4KkIMRYi0RblUpKSSE6KXHzAlBLAQIUAxQA\nAAAIADsDQUpa/W2KrgAAAIABAAAQAAAAAAAAAAAAAACkgQAAAABtb3N0QWNjdXJhdGUudHh0UEsF\nBgAAAAABAAEAPgAAANwAAAAAAA==\n', }, { 'success': False, 'files': False, }, { 'success': True, 'files': 'UEsDBBQAAAAIAEuWQUoxobvZzAAAAAACAAAQAAAAbW9zdEFjY3VyYXRlLnR4dG1QSQ7CMAy884oc\nE7qoztIkP8kVaIUqAaUbgt+TrQW1zcGKPR6PxzhBOEN4joYjfGkHhIeuH+13OtcePHpk6KZTbwv3\nT9W8mqqODAOczL0hLg0WsrTm4cc79ujAW3u1PEKQYSQ+hOv3M9IdFIph8r+cm7POw9pJTJ3kmucs\nGaBB8JcuChvL22Uif7/dX2jtfcevP4U3vRwzbOT05mOE0sqCAQgrp0WulaKaM+BMAZWF3i+VaSZy\nyQQwSUtBFRRapTyXSpa0ECCFUpofvlBLAQIUAxQAAAAIAEuWQUoxobvZzAAAAAACAAAQAAAAAAAA\nAAAAAACkgQAAAABtb3N0QWNjdXJhdGUudHh0UEsFBgAAAAABAAEAPgAAAPoAAAAAAA==\n', }, ] FILTER_TASKS = [ { 'job_name': 'gpfunction', 'learner_outputs_number': 3, 'dataset_name': 'higgs', 'training_rate': 0.5, 'fusion_rate': 0.3, 'sample_rate': 0.1, 'class_attribute': 'label', 'class_attribute_type': 'integer', 'true_class_value': '1', 'include_attributes': [], 'exclude_attributes': [], 'attributes_rate': 0.5, 'random_seed': 0, 'include_header': False, 'threshold': 0.47, 'predict_parameters': None, }, ] FUSER_TASKS = [ { 'job_name': 'gpfunction', 'dataset_name': 'higgs', 'training_rate': 0.5, 'fusion_rate': 0.3, 'sample_rate': 0.1, 'class_attribute': 'label', 'class_attribute_type': 'integer', 'true_class_value': '1', 'include_attributes': [], 'exclude_attributes': [], 'attributes_rate': 0.5, 'random_seed': 0, 'include_header': False, 'predict_parameters': None, }, ] PREDICT_COMMAND = 'java -jar gpfunction.jar ' \ '-predict ${CCUBE_PREDICT_DATASET_FILE} ' \ '-model ${CCUBE_PREDICT_INPUT_FILES}/mostAccurate.txt ' \ '-o predictions.csv' PREDICT_PREDICTIONS_FILE = '${CCUBE_PREDICT_WORKING_DIRECTORY}/predictions.csv' PREDICT_EXECUTABLE_FILE = 'resources/learners/gpfunction.jar' FACTORIZER_HOSTNAME = 'localhost' FACTORIZER_PORT = '5000' FILTER_OUTPUTS = [ [ { 'files': 'UEsDBBQAAAAIADsDQUpa/W2KrgAAAIABAAAQAAAAbW9zdEFjY3VyYXRlLnR4dI1Oyw6CMBC8+xV7\nbBFJX3S7f9KrAjEkIipi5O8tDxESTZyk3dnHTIZtgRXPC7BQd8CqLi8fZV6AN+Cl4cAi8BpYc233\nt2K4qrpTfZyWTXnuZx4HcdYewklWN2ufT7Ng0Sj2wWV4cvoCQuUjAgv0nS3q26W1HhW/M84R+839\njwvv+AzwxHksErJKo0mdJE1IZL6PFK2hw8waic4YS4KkIMRYi0RblUpKSSE6KXHzAlBLAQIUAxQA\nAAAIADsDQUpa/W2KrgAAAIABAAAQAAAAAAAAAAAAAACkgQAAAABtb3N0QWNjdXJhdGUudHh0UEsF\nBgAAAAABAAEAPgAAANwAAAAAAA==\n' }, { 'files': 'UEsDBBQAAAAIAEuWQUoxobvZzAAAAAACAAAQAAAAbW9zdEFjY3VyYXRlLnR4dG1QSQ7CMAy884oc\nE7qoztIkP8kVaIUqAaUbgt+TrQW1zcGKPR6PxzhBOEN4joYjfGkHhIeuH+13OtcePHpk6KZTbwv3\nT9W8mqqODAOczL0hLg0WsrTm4cc79ujAW3u1PEKQYSQ+hOv3M9IdFIph8r+cm7POw9pJTJ3kmucs\nGaBB8JcuChvL22Uif7/dX2jtfcevP4U3vRwzbOT05mOE0sqCAQgrp0WulaKaM+BMAZWF3i+VaSZy\nyQQwSUtBFRRapTyXSpa0ECCFUpofvlBLAQIUAxQAAAAIAEuWQUoxobvZzAAAAAACAAAQAAAAAAAA\nAAAAAACkgQAAAABtb3N0QWNjdXJhdGUudHh0UEsFBgAAAAABAAEAPgAAAPoAAAAAAA==\n' }, { 'files': 'UEsDBBQAAAAIAEuWQUoxobvZzAAAAAACAAAQAAAAbW9zdEFjY3VyYXRlLnR4dG1QSQ7CMAy884oc\nE7qoztIkP8kVaIUqAaUbgt+TrQW1zcGKPR6PxzhBOEN4joYjfGkHhIeuH+13OtcePHpk6KZTbwv3\nT9W8mqqODAOczL0hLg0WsrTm4cc79ujAW3u1PEKQYSQ+hOv3M9IdFIph8r+cm7POw9pJTJ3kmucs\nGaBB8JcuChvL22Uif7/dX2jtfcevP4U3vRwzbOT05mOE0sqCAQgrp0WulaKaM+BMAZWF3i+VaSZy\nyQQwSUtBFRRapTyXSpa0ECCFUpofvlBLAQIUAxQAAAAIAEuWQUoxobvZzAAAAAACAAAQAAAAAAAA\nAAAAAACkgQAAAABtb3N0QWNjdXJhdGUudHh0UEsFBgAAAAABAAEAPgAAAPoAAAAAAA==\n' }, ] ] class GPFunctionTest(unittest.TestCase): def setUp(self): self.__amqp_manager = AMQPManager(AMQP_HOSTNAME) self.__learner_tasks_queue_name = __main__.LEARN_TASKS_QUEUE_NAME.format(job_name_=JOB_NAME) self.__learner_outputs_queue_name = __main__.LEARN_OUTPUTS_QUEUE_NAME.format(job_name_=JOB_NAME) self.__amqp_manager.delete_queue(self.__learner_tasks_queue_name) self.__amqp_manager.delete_queue(self.__learner_outputs_queue_name) self.__filter_tasks_queue_name = __main__.FILTER_TASKS_QUEUE_NAME.format(job_name_=JOB_NAME) self.__filter_outputs_queue_name = __main__.FILTER_OUTPUTS_QUEUE_NAME.format(job_name_=JOB_NAME) self.__amqp_manager.delete_queue(self.__filter_tasks_queue_name) self.__amqp_manager.delete_queue(self.__filter_outputs_queue_name) self.__fuser_tasks_queue_name = __main__.FUSER_TASKS_QUEUE_NAME.format(job_name_=JOB_NAME) self.__amqp_manager.delete_queue(self.__fuser_tasks_queue_name) self.__runner = CliRunner() self.__temporary_working_directory = tempfile.TemporaryDirectory() shutil.copy(os.path.join(THIS_DIRECTORY_PATH, LEARN_EXECUTABLE_FILE), self.__temporary_working_directory.name) def tearDown(self): self.__temporary_working_directory.cleanup() self.__amqp_manager.delete_queue(self.__learner_tasks_queue_name) self.__amqp_manager.delete_queue(self.__learner_outputs_queue_name) self.__amqp_manager.delete_queue(self.__filter_tasks_queue_name) self.__amqp_manager.delete_queue(self.__filter_outputs_queue_name) self.__amqp_manager.delete_queue(self.__fuser_tasks_queue_name) def test_learn(self): # Publishes the tasks. self.__amqp_manager.create_queue(self.__learner_tasks_queue_name) self.__amqp_manager.publish_messages(self.__learner_tasks_queue_name, LEARN_TASKS) # Adds the environment variables. os.environ['AMQP_HOSTNAME'] = AMQP_HOSTNAME os.environ['FACTORIZER_HOSTNAME'] = FACTORIZER_HOSTNAME os.environ['FACTORIZER_PORT'] = FACTORIZER_PORT os.environ['CCUBE_LEARN_COMMAND'] = LEARN_COMMAND os.environ['CCUBE_LEARN_WORKING_DIRECTORY'] = self.__temporary_working_directory.name os.environ['CCUBE_LEARN_OUTPUT_FILES'] = LEARN_OUTPUT_FILES result = self.__runner.invoke( __main__.cli, [ 'learn', '--job', JOB_NAME, ], catch_exceptions=False, ) print(result.output) def test_filter(self): # Publishes the tasks. self.__amqp_manager.create_queue(self.__learner_outputs_queue_name) self.__amqp_manager.publish_messages(self.__learner_outputs_queue_name, LEARN_OUTPUTS) self.__amqp_manager.create_queue(self.__filter_tasks_queue_name) self.__amqp_manager.publish_messages(self.__filter_tasks_queue_name, FILTER_TASKS) # Adds the environment variables. os.environ['AMQP_HOSTNAME'] = AMQP_HOSTNAME os.environ['FACTORIZER_HOSTNAME'] = FACTORIZER_HOSTNAME os.environ['FACTORIZER_PORT'] = FACTORIZER_PORT os.environ['CCUBE_PREDICT_COMMAND'] = PREDICT_COMMAND os.environ['CCUBE_PREDICT_WORKING_DIRECTORY'] = self.__temporary_working_directory.name os.environ['CCUBE_PREDICT_PREDICTIONS_FILE'] = PREDICT_PREDICTIONS_FILE result = self.__runner.invoke( __main__.cli, [ 'filter', '--job', JOB_NAME, ], catch_exceptions=False, ) print(result.output) def test_fuser(self): # Publishes the tasks. self.__amqp_manager.create_queue(self.__filter_outputs_queue_name) self.__amqp_manager.publish_messages(self.__filter_outputs_queue_name, FILTER_OUTPUTS) self.__amqp_manager.create_queue(self.__fuser_tasks_queue_name) self.__amqp_manager.publish_messages(self.__fuser_tasks_queue_name, FUSER_TASKS) # Adds the environment variables. os.environ['AMQP_HOSTNAME'] = AMQP_HOSTNAME os.environ['FACTORIZER_HOSTNAME'] = FACTORIZER_HOSTNAME os.environ['FACTORIZER_PORT'] = FACTORIZER_PORT os.environ['CCUBE_PREDICT_COMMAND'] = PREDICT_COMMAND os.environ['CCUBE_PREDICT_WORKING_DIRECTORY'] = self.__temporary_working_directory.name os.environ['CCUBE_PREDICT_PREDICTIONS_FILE'] = PREDICT_PREDICTIONS_FILE result = self.__runner.invoke( __main__.cli, [ 'fuser', '--job', JOB_NAME, ], catch_exceptions=False, ) print(result.output)

43.457265

483

0.719835

924

10,169

7.402597

0.170996

0.039474

0.046053

0.038889

0.795468

0.755263

0.738158

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52d5f7a99898cc5cd224a1f35291456f9ac5ca21

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py

Python

samo/__main__.py

AlexMontgomerie/samo

6e1deaeaadf69950e71d7e5da7ed06e79a830632

[ "MIT" ]

13

2021-12-06T23:13:11.000Z

2022-03-12T16:21:59.000Z

samo/__main__.py

AlexMontgomerie/samo

6e1deaeaadf69950e71d7e5da7ed06e79a830632

[ "MIT" ]

null

samo/__main__.py

AlexMontgomerie/samo

6e1deaeaadf69950e71d7e5da7ed06e79a830632

[ "MIT" ]

null

import sys import samo.cli if __name__ == "__main__": samo.cli.main(sys.argv[1:])

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py

Python

src/transporters/transporters_factory.py

mucharafal/optics_generator_python

c14d4e5f19f921f4dc0a98129bca9d31754b72ad

[ "MIT" ]

null

src/transporters/transporters_factory.py

mucharafal/optics_generator_python

c14d4e5f19f921f4dc0a98129bca9d31754b72ad

[ "MIT" ]

null

src/transporters/transporters_factory.py

mucharafal/optics_generator_python

c14d4e5f19f921f4dc0a98129bca9d31754b72ad

[ "MIT" ]

null

def get_transporter(configuration): transporter_module = configuration.get_module_transporter() transporter_configuration = configuration.get_configuration() return transporter_module.get_transporter(transporter_configuration)

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py

Python

otp/distributed/CentralLoggerAI.py

TheFamiliarScoot/open-toontown

678313033174ea7d08e5c2823bd7b473701ff547

[ "BSD-3-Clause" ]

99

2019-11-02T22:25:00.000Z

2022-02-03T03:48:00.000Z

otp/distributed/CentralLoggerAI.py

TheFamiliarScoot/open-toontown

678313033174ea7d08e5c2823bd7b473701ff547

[ "BSD-3-Clause" ]

42

2019-11-03T05:31:08.000Z

2022-03-16T22:50:32.000Z

otp/distributed/CentralLoggerAI.py

TheFamiliarScoot/open-toontown

678313033174ea7d08e5c2823bd7b473701ff547

[ "BSD-3-Clause" ]

57

2019-11-03T07:47:37.000Z

2022-03-22T00:41:49.000Z

from direct.directnotify import DirectNotifyGlobal from direct.distributed.DistributedObjectAI import DistributedObjectAI class CentralLoggerAI(DistributedObjectAI): notify = DirectNotifyGlobal.directNotify.newCategory('CentralLoggerAI')

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py

Python

src/frr/tests/topotests/multicast_pim_sm_topo3/test_multicast_pim_sm_topo4.py

zhouhaifeng/vpe

9c644ffd561988e5740021ed26e0f7739844353d

[ "Apache-2.0" ]

null

src/frr/tests/topotests/multicast_pim_sm_topo3/test_multicast_pim_sm_topo4.py

zhouhaifeng/vpe

9c644ffd561988e5740021ed26e0f7739844353d

[ "Apache-2.0" ]

null

src/frr/tests/topotests/multicast_pim_sm_topo3/test_multicast_pim_sm_topo4.py

zhouhaifeng/vpe

9c644ffd561988e5740021ed26e0f7739844353d

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Copyright (c) 2020 by VMware, Inc. ("VMware") # Used Copyright (c) 2018 by Network Device Education Foundation, # Inc. ("NetDEF") in this file. # # Permission to use, copy, modify, and/or distribute this software # for any purpose with or without fee is hereby granted, provided # that the above copyright notice and this permission notice appear # in all copies. # # THE SOFTWARE IS PROVIDED "AS IS" AND VMWARE DISCLAIMS ALL WARRANTIES # WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF # MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL VMWARE BE LIABLE FOR # ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY # DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, # WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS # ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE # OF THIS SOFTWARE. # """ Following tests are covered to test multicast pim sm: Test steps - Create topology (setup module) - Bring up topology Following tests are covered: 1. TC:48 Verify mroute after configuring black-hole route for RP and source 2. TC:49 Verify mroute when RP is reachable using default route 3. TC:50 Verify mroute when LHR,FHR,RP and transit routers reachable using default routes 4. TC:52 Verify PIM nbr after changing interface ip 5. TC:53 Verify IGMP interface updated with correct detail after changing interface config 6. TC:54 Verify received and transmit hello stats are getting cleared after PIM nbr reset """ import os import sys import time import pytest pytestmark = pytest.mark.pimd # Save the Current Working Directory to find configuration files. CWD = os.path.dirname(os.path.realpath(__file__)) sys.path.append(os.path.join(CWD, "../")) sys.path.append(os.path.join(CWD, "../lib/")) # Required to instantiate the topology builder class. # pylint: disable=C0413 # Import topogen and topotest helpers from lib.topogen import Topogen, get_topogen from lib.common_config import ( start_topology, write_test_header, write_test_footer, step, reset_config_on_routers, shutdown_bringup_interface, apply_raw_config, create_static_routes, required_linux_kernel_version, topo_daemons, ) from lib.pim import ( create_pim_config, create_igmp_config, verify_ip_mroutes, clear_ip_pim_interface_traffic, verify_upstream_iif, clear_ip_mroute, verify_pim_rp_info, verify_pim_interface_traffic, McastTesterHelper, ) from lib.topolog import logger from lib.topojson import build_config_from_json TOPOLOGY = """ i4-----c1-------------c2---i5 | | | | i1-----l1------r2-----f1---i2 | | | | | | | | i7 i6 i3 i8 Description: i1, i2, i3. i4, i5, i6, i7, i8 - FRR running iperf to send IGMP join and traffic l1 - LHR f1 - FHR r2 - FRR router c1 - FRR router c2 - FRR router """ # Global variables GROUP_RANGE = "224.0.0.0/4" IGMP_GROUP = "225.1.1.1/32" IGMP_JOIN = "225.1.1.1" GROUP_RANGE_1 = [ "225.1.1.1/32", "225.1.1.2/32", "225.1.1.3/32", "225.1.1.4/32", "225.1.1.5/32", ] IGMP_JOIN_RANGE_1 = ["225.1.1.1", "225.1.1.2", "225.1.1.3", "225.1.1.4", "225.1.1.5"] NEW_ADDRESS_1 = "192.168.20.1" NEW_ADDRESS_2 = "192.168.20.2" NEW_ADDRESS_1_SUBNET = "192.168.20.1/24" NEW_ADDRESS_2_SUBNET = "192.168.20.2/24" def setup_module(mod): """ Sets up the pytest environment * `mod`: module name """ # Required linux kernel version for this suite to run. result = required_linux_kernel_version("4.19") if result is not True: pytest.skip("Kernel requirements are not met") testsuite_run_time = time.asctime(time.localtime(time.time())) logger.info("Testsuite start time: {}".format(testsuite_run_time)) logger.info("=" * 40) logger.info("Master Topology: \n {}".format(TOPOLOGY)) logger.info("Running setup_module to create topology") json_file = "{}/multicast_pim_sm_topo4.json".format(CWD) tgen = Topogen(json_file, mod.__name__) global topo topo = tgen.json_topo # ... and here it calls Mininet initialization functions. # get list of daemons needs to be started for this suite. daemons = topo_daemons(tgen, topo) # Starting topology, create tmp files which are loaded to routers # to start deamons and then start routers start_topology(tgen, daemons) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) # Creating configuration from JSON build_config_from_json(tgen, topo) # XXX Replace this using "with McastTesterHelper()... " in each test if possible. global app_helper app_helper = McastTesterHelper(tgen) logger.info("Running setup_module() done") def teardown_module(): """Teardown the pytest environment""" logger.info("Running teardown_module to delete topology") tgen = get_topogen() app_helper.cleanup() # Stop toplogy and Remove tmp files tgen.stop_topology() logger.info( "Testsuite end time: {}".format(time.asctime(time.localtime(time.time()))) ) logger.info("=" * 40) ##################################################### # # Testcases # ##################################################### def verify_state_incremented(state_before, state_after): """ API to compare interface traffic state incrementing Parameters ---------- * `state_before` : State dictionary for any particular instance * `state_after` : State dictionary for any particular instance """ for router, state_data in state_before.items(): for state, value in state_data.items(): if state_before[router][state] >= state_after[router][state]: errormsg = ( "[DUT: %s]: state %s value has not" " incremented, Initial value: %s, " "Current value: %s [FAILED!!]" % ( router, state, state_before[router][state], state_after[router][state], ) ) return errormsg logger.info( "[DUT: %s]: State %s value is " "incremented, Initial value: %s, Current value: %s" " [PASSED!!]", router, state, state_before[router][state], state_after[router][state], ) return True def test_mroute_when_RP_reachable_default_route_p2(request): """ TC_49 Verify mroute when and source RP is reachable using default route """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) # Creating configuration from JSON app_helper.stop_all_hosts() clear_ip_mroute(tgen) reset_config_on_routers(tgen) clear_ip_pim_interface_traffic(tgen, topo) step( "Remove c1-c2 connected link to simulate topo " "c1(FHR)---l1(RP)----r2---f1-----c2(LHR)" ) intf_c1_c2 = topo["routers"]["c1"]["links"]["c2"]["interface"] intf_c2_c1 = topo["routers"]["c2"]["links"]["c1"]["interface"] shutdown_bringup_interface(tgen, "c1", intf_c1_c2, False) shutdown_bringup_interface(tgen, "c2", intf_c2_c1, False) step("Enable the PIM on all the interfaces of FRR1, FRR2, FRR3") step( "Enable IGMP of FRR1 interface and send IGMP joins " " from FRR1 node for group range (225.1.1.1-5)" ) intf_c2_i5 = topo["routers"]["c2"]["links"]["i5"]["interface"] input_dict = { "c2": {"igmp": {"interfaces": {intf_c2_i5: {"igmp": {"version": "2"}}}}} } result = create_igmp_config(tgen, topo, input_dict) assert result is True, "Testcase {}: Failed Error: {}".format(tc_name, result) input_join = {"i5": topo["routers"]["i5"]["links"]["c2"]["interface"]} for recvr, recvr_intf in input_join.items(): result = app_helper.run_join(recvr, IGMP_JOIN_RANGE_1, join_intf=recvr_intf) assert result is True, "Testcase {}: Failed Error: {}".format(tc_name, result) step("Configure static RP for (225.1.1.1-5) as R2") input_dict = { "l1": { "pim": { "rp": [ { "rp_addr": topo["routers"]["l1"]["links"]["lo"]["ipv4"].split( "/" )[0], "group_addr_range": GROUP_RANGE, } ] } } } result = create_pim_config(tgen, topo, input_dict) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) step("Send traffic from C1 to all the groups ( 225.1.1.1 to 225.1.1.5)") input_src = {"i4": topo["routers"]["i4"]["links"]["c1"]["interface"]} for src, src_intf in input_src.items(): result = app_helper.run_traffic(src, IGMP_JOIN_RANGE_1, bind_intf=src_intf) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) source_i4 = topo["routers"]["i4"]["links"]["c1"]["ipv4"].split("/")[0] input_dict_starg = [ { "dut": "c2", "src_address": "*", "iif": topo["routers"]["c2"]["links"]["f1"]["interface"], "oil": topo["routers"]["c2"]["links"]["i5"]["interface"], } ] input_dict_sg = [ { "dut": "c2", "src_address": source_i4, "iif": topo["routers"]["c2"]["links"]["f1"]["interface"], "oil": topo["routers"]["c2"]["links"]["i5"]["interface"], } ] step("Verify mroutes and iff upstream") for data in input_dict_sg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1 ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) for data in input_dict_starg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1 ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) step("Delete static routes on c2") input_dict = { "c2": { "static_routes": [ { "network": ["1.0.4.11/32", "10.0.2.1/24", "10.0.1.2/24"], "next_hop": "10.0.3.2", "delete": True, } ] } } result = create_static_routes(tgen, input_dict) assert result is True, "Testcase {} :Failed \n Error {}".format(tc_name, result) step("Verify RP info unknown after removing static route from c2 ") dut = "c2" rp_address = topo["routers"]["l1"]["links"]["lo"]["ipv4"].split("/")[0] SOURCE = "Static" result = verify_pim_rp_info( tgen, topo, dut, GROUP_RANGE_1, "Unknown", rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) step("Verify mroute not present after Delete of static routes on c1") for data in input_dict_sg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], expected=False, ) assert result is not True, ( "Testcase {} : Failed \n " "mroutes(S,G) are present after delete of static routes on c1 \n Error: {}".format( tc_name, result ) ) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1, expected=False, ) assert result is not True, ( "Testcase {} : Failed \n " "upstream is present after delete of static routes on c1 \n Error: {}".format( tc_name, result ) ) for data in input_dict_starg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], expected=False, ) assert result is not True, ( "Testcase {} : Failed \n " "mroutes(*,G) are present after delete of static routes on c1 \n Error: {}".format( tc_name, result ) ) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1, expected=False, ) assert result is not True, ( "Testcase {} : Failed \n " "upstream is present after delete of static routes on c1 \n Error: {}".format( tc_name, result ) ) step("Configure default routes on c2") intf_f1_c2 = topo["routers"]["f1"]["links"]["c2"]["ipv4"].split("/")[0] input_dict = { "c2": {"static_routes": [{"network": "0.0.0.0/0", "next_hop": intf_f1_c2}]} } result = create_static_routes(tgen, input_dict) assert result is True, "Testcase {} :Failed \n Error {}".format(tc_name, result) step("applying ip nht config on c2") raw_config = {"c2": {"raw_config": ["ip nht resolve-via-default"]}} result = apply_raw_config(tgen, raw_config) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) step("Verify RP info is NOT unknown after removing static route from c2 ") result = verify_pim_rp_info( tgen, topo, dut, GROUP_RANGE_1, "Unknown", rp_address, SOURCE, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "RP info is unknown after removing static route from c2 \n Error: {}".format( tc_name, result ) ) step("Verify (s,g) populated after adding default route ") for data in input_dict_sg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1 ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) step("Verify (*,g) populated after adding default route ") for data in input_dict_starg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1 ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) write_test_footer(tc_name) def test_mroute_with_RP_default_route_all_nodes_p2(request): """ TC_50 Verify mroute when LHR,FHR,RP and transit routers reachable using default routes """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) # Creating configuration from JSON app_helper.stop_all_hosts() clear_ip_mroute(tgen) reset_config_on_routers(tgen) clear_ip_pim_interface_traffic(tgen, topo) step( "Remove c1-c2 connected link to simulate topo " "c1(LHR)---l1(RP)----r2---f1-----c2(FHR)" ) intf_c1_c2 = topo["routers"]["c1"]["links"]["c2"]["interface"] intf_c2_c1 = topo["routers"]["c2"]["links"]["c1"]["interface"] shutdown_bringup_interface(tgen, "c1", intf_c1_c2, False) shutdown_bringup_interface(tgen, "c2", intf_c2_c1, False) step("Enable the PIM on all the interfaces of FRR1, FRR2, FRR3") step( "Enable IGMP of FRR1 interface and send IGMP joins " " from FRR1 node for group range (225.1.1.1-5)" ) intf_c1_i4 = topo["routers"]["c1"]["links"]["i4"]["interface"] input_dict = { "c1": {"igmp": {"interfaces": {intf_c1_i4: {"igmp": {"version": "2"}}}}} } result = create_igmp_config(tgen, topo, input_dict) assert result is True, "Testcase {}: Failed Error: {}".format(tc_name, result) input_join = {"i4": topo["routers"]["i4"]["links"]["c1"]["interface"]} for recvr, recvr_intf in input_join.items(): result = app_helper.run_join(recvr, IGMP_JOIN_RANGE_1, join_intf=recvr_intf) assert result is True, "Testcase {}: Failed Error: {}".format(tc_name, result) step("Configure static RP for (225.1.1.1-5) as R2") input_dict = { "l1": { "pim": { "rp": [ { "rp_addr": topo["routers"]["l1"]["links"]["lo"]["ipv4"].split( "/" )[0], "group_addr_range": GROUP_RANGE, } ] } } } result = create_pim_config(tgen, topo, input_dict) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) step("Send traffic from C2 to all the groups ( 225.1.1.1 to 225.1.1.5)") input_src = {"i5": topo["routers"]["i5"]["links"]["c2"]["interface"]} for src, src_intf in input_src.items(): result = app_helper.run_traffic(src, IGMP_JOIN_RANGE_1, bind_intf=src_intf) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) source_i5 = topo["routers"]["i5"]["links"]["c2"]["ipv4"].split("/")[0] input_dict_starg = [ { "dut": "c1", "src_address": "*", "iif": topo["routers"]["c1"]["links"]["l1"]["interface"], "oil": topo["routers"]["c1"]["links"]["i4"]["interface"], } ] input_dict_sg = [ { "dut": "c1", "src_address": source_i5, "iif": topo["routers"]["c1"]["links"]["l1"]["interface"], "oil": topo["routers"]["c1"]["links"]["i4"]["interface"], } ] step("Verify mroutes and iff upstream") for data in input_dict_sg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1 ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) for data in input_dict_starg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1 ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) step("Delete static routes RP on all the nodes") input_dict = { "c2": { "static_routes": [ {"network": ["1.0.4.11/32"], "next_hop": "10.0.3.2", "delete": True} ] }, "c1": { "static_routes": [ {"network": ["1.0.4.11/32"], "next_hop": "10.0.2.2", "delete": True} ] }, "r2": { "static_routes": [ {"network": ["1.0.4.11/32"], "next_hop": "10.0.12.1", "delete": True} ] }, "f1": { "static_routes": [ {"network": ["1.0.4.11/32"], "next_hop": "10.0.7.2", "delete": True} ] }, } result = create_static_routes(tgen, input_dict) assert result is True, "Testcase {} :Failed \n Error {}".format(tc_name, result) step("Verify RP info unknown after removing static route from c2 ") dut = "c2" rp_address = topo["routers"]["l1"]["links"]["lo"]["ipv4"].split("/")[0] SOURCE = "Static" result = verify_pim_rp_info( tgen, topo, dut, GROUP_RANGE_1, "Unknown", rp_address, SOURCE ) assert result is True, "Testcase {} :Failed \n Error: {}".format(tc_name, result) for data in input_dict_starg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], expected=False, ) assert ( result is not True ), "Testcase {} : Failed \n " "mroutes are still present \n Error: {}".format( tc_name, result ) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1, expected=False, ) assert ( result is not True ), "Testcase {} : Failed \n " "upstream is still present \n Error: {}".format( tc_name, result ) step("Configure default routes on all the nodes") intf_f1_c2 = topo["routers"]["f1"]["links"]["c2"]["ipv4"].split("/")[0] intf_l1_c1 = topo["routers"]["l1"]["links"]["c1"]["ipv4"].split("/")[0] intf_l1_r2 = topo["routers"]["l1"]["links"]["r2"]["ipv4"].split("/")[0] intf_r2_f1 = topo["routers"]["r2"]["links"]["f1"]["ipv4"].split("/")[0] input_dict = { "c1": {"static_routes": [{"network": "0.0.0.0/0", "next_hop": intf_l1_c1}]}, "c2": {"static_routes": [{"network": "0.0.0.0/0", "next_hop": intf_f1_c2}]}, "r2": {"static_routes": [{"network": "0.0.0.0/0", "next_hop": intf_l1_r2}]}, "f1": {"static_routes": [{"network": "0.0.0.0/0", "next_hop": intf_r2_f1}]}, } result = create_static_routes(tgen, input_dict) assert result is True, "Testcase {} :Failed \n Error {}".format(tc_name, result) step("applying ip nht config on c2") raw_config = { "c1": {"raw_config": ["ip nht resolve-via-default"]}, "c2": {"raw_config": ["ip nht resolve-via-default"]}, "r2": {"raw_config": ["ip nht resolve-via-default"]}, "f1": {"raw_config": ["ip nht resolve-via-default"]}, "l1": {"raw_config": ["ip nht resolve-via-default"]}, } result = apply_raw_config(tgen, raw_config) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) step("Verify RP info Not unknown after removing static route from c2 ") dut = "c2" step("Verify RP info is NOT unknown after removing static route from c2 ") result = verify_pim_rp_info( tgen, topo, dut, GROUP_RANGE_1, "Unknown", rp_address, SOURCE, expected=False ) assert result is not True, ( "Testcase {} : Failed \n " "RP info is unknown after removing static route from c2 \n Error: {}".format( tc_name, result ) ) step("Verify (s,g) populated after adding default route ") for data in input_dict_sg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1 ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) step("Verify (*,g) populated after adding default route ") for data in input_dict_starg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) result = verify_upstream_iif( tgen, data["dut"], data["iif"], data["src_address"], IGMP_JOIN_RANGE_1 ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) write_test_footer(tc_name) def test_PIM_hello_tx_rx_p1(request): """ TC_54 Verify received and transmit hello stats are getting cleared after PIM nbr reset """ tgen = get_topogen() tc_name = request.node.name write_test_header(tc_name) # Don"t run this test if we have any failure. if tgen.routers_have_failure(): pytest.skip(tgen.errors) # Creating configuration from JSON app_helper.stop_all_hosts() clear_ip_mroute(tgen) reset_config_on_routers(tgen) clear_ip_pim_interface_traffic(tgen, topo) step( "Remove c1-c2 connected link to simulate topo " "c1(LHR)---l1(RP)----r2---f1-----c2(FHR)" ) intf_c1_c2 = topo["routers"]["c1"]["links"]["c2"]["interface"] intf_c2_c1 = topo["routers"]["c2"]["links"]["c1"]["interface"] shutdown_bringup_interface(tgen, "c1", intf_c1_c2, False) shutdown_bringup_interface(tgen, "c2", intf_c2_c1, False) step("Enable the PIM on all the interfaces of FRR1, FRR2, FRR3") step( "Enable IGMP of FRR1 interface and send IGMP joins " " from FRR1 node for group range (225.1.1.1-5)" ) intf_c1_i4 = topo["routers"]["c1"]["links"]["i4"]["interface"] input_dict = { "c1": {"igmp": {"interfaces": {intf_c1_i4: {"igmp": {"version": "2"}}}}} } result = create_igmp_config(tgen, topo, input_dict) assert result is True, "Testcase {}: Failed Error: {}".format(tc_name, result) input_join = {"i4": topo["routers"]["i4"]["links"]["c1"]["interface"]} for recvr, recvr_intf in input_join.items(): result = app_helper.run_join(recvr, IGMP_JOIN_RANGE_1, join_intf=recvr_intf) assert result is True, "Testcase {}: Failed Error: {}".format(tc_name, result) step("Configure static RP for (225.1.1.1-5) as R2") input_dict = { "l1": { "pim": { "rp": [ { "rp_addr": topo["routers"]["l1"]["links"]["lo"]["ipv4"].split( "/" )[0], "group_addr_range": GROUP_RANGE, } ] } } } result = create_pim_config(tgen, topo, input_dict) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) step("Send Mcast traffic from C2 to all the groups ( 225.1.1.1 to 225.1.1.5)") input_src = {"i5": topo["routers"]["i5"]["links"]["c2"]["interface"]} for src, src_intf in input_src.items(): result = app_helper.run_traffic(src, IGMP_JOIN_RANGE_1, bind_intf=src_intf) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) source_i5 = topo["routers"]["i5"]["links"]["c2"]["ipv4"].split("/")[0] input_dict_starg = [ { "dut": "c1", "src_address": "*", "iif": topo["routers"]["c1"]["links"]["l1"]["interface"], "oil": topo["routers"]["c1"]["links"]["i4"]["interface"], } ] input_dict_sg = [ { "dut": "c1", "src_address": source_i5, "iif": topo["routers"]["c1"]["links"]["l1"]["interface"], "oil": topo["routers"]["c1"]["links"]["i4"]["interface"], } ] step("(*,G) and (S,G) created on f1 and node verify using 'show ip mroute'") for data in input_dict_sg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) for data in input_dict_starg: result = verify_ip_mroutes( tgen, data["dut"], data["src_address"], IGMP_JOIN_RANGE_1, data["iif"], data["oil"], ) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) intf_l1_c1 = topo["routers"]["l1"]["links"]["c1"]["interface"] intf_c1_l1 = topo["routers"]["c1"]["links"]["l1"]["interface"] step("verify before stats on C1") state_dict = { "c1": { intf_c1_l1: ["helloTx", "helloRx"], } } c1_state_before = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( c1_state_before, dict ), "Testcase{} : Failed \n state_before is not dictionary \n Error: {}".format( tc_name, result ) step("Flap PIM nbr while doing interface c1-l1 interface shut from f1 side") shutdown_bringup_interface(tgen, "c1", intf_c1_l1, False) step( "After shut of local interface from c1 , verify rx/tx hello counters are cleared on c1 side" "verify using 'show ip pim interface traffic'" ) shutdown_bringup_interface(tgen, "c1", intf_c1_l1, True) step("verify stats after on c1") c1_state_after = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( c1_state_after, dict ), "Testcase{} : Failed \n state_before is not dictionary \n Error: {}".format( tc_name, result ) step("verify stats not increamented on c1") result = verify_state_incremented(c1_state_before, c1_state_after) assert ( result is not True ), "Testcase{} : Failed Error: {}" "stats incremented".format(tc_name, result) step("verify before stats on l1") l1_state_dict = { "l1": { intf_l1_c1: ["helloTx", "helloRx"], } } l1_state_before = verify_pim_interface_traffic(tgen, l1_state_dict) assert isinstance( l1_state_before, dict ), "Testcase{} : Failed \n state_before is not dictionary \n Error: {}".format( tc_name, result ) step("Flap PIM nbr while doing interface r2-c1 shut from r2 side") shutdown_bringup_interface(tgen, "l1", intf_l1_c1, False) step( "After shut the interface from r2 side , verify r2 side rx and tx of hello" "counters are resetted show ip pim interface traffic" ) shutdown_bringup_interface(tgen, "l1", intf_l1_c1, True) step("verify stats after on l1") l1_state_after = verify_pim_interface_traffic(tgen, l1_state_dict) assert isinstance( l1_state_after, dict ), "Testcase{} : Failed \n state_before is not dictionary \n Error: {}".format( tc_name, result ) step("verify stats not increamented on l1") result = verify_state_incremented(l1_state_before, l1_state_after) assert ( result is not True ), "Testcase{} : Failed Error: {}" "stats incremented".format(tc_name, result) step("Reinit the dict") c1_state_before = {} l1_state_before = {} c1_state_after = {} l1_state_after = {} step("verify before stats on C1") state_dict = { "c1": { intf_c1_l1: ["helloTx", "helloRx"], } } c1_state_before = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( c1_state_before, dict ), "Testcase{} : Failed \n state_before is not dictionary \n Error: {}".format( tc_name, result ) step("Flap c1-r2 pim nbr while changing ip address from c1 side") c1_l1_ip_subnet = topo["routers"]["c1"]["links"]["l1"]["ipv4"] raw_config = { "c1": { "raw_config": [ "interface {}".format(intf_c1_l1), "no ip address {}".format(c1_l1_ip_subnet), "ip address {}".format(NEW_ADDRESS_2_SUBNET), ] } } result = apply_raw_config(tgen, raw_config) assert result is True, "Testcase {} : Failed Error: {}".format(tc_name, result) step("verify stats after on c1") c1_state_after = verify_pim_interface_traffic(tgen, state_dict) assert isinstance( c1_state_after, dict ), "Testcase{} : Failed \n state_before is not dictionary \n Error: {}".format( tc_name, result ) step("verify stats not increamented on c1") result = verify_state_incremented(c1_state_before, c1_state_after) assert ( result is not True ), "Testcase{} : Failed Error: {}" "stats incremented".format(tc_name, result) write_test_footer(tc_name) if __name__ == "__main__": args = ["-s"] + sys.argv[1:] sys.exit(pytest.main(args))

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5e3cbde4c77ad9d62f6a74953c856e853ef7bc2c

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py

Python

tests/testOrderbook3.py

blakelucey/pyziabm

b4e62aa036233e58d7b44b654c375baf57ffc2d3

[ "BSD-3-Clause" ]

35

2017-11-27T13:10:42.000Z

2021-09-13T13:39:55.000Z

tests/testOrderbook3.py

blakelucey/pyziabm

b4e62aa036233e58d7b44b654c375baf57ffc2d3

[ "BSD-3-Clause" ]

2

2017-10-10T20:28:49.000Z

2021-09-06T14:59:13.000Z

tests/testOrderbook3.py

blakelucey/pyziabm

b4e62aa036233e58d7b44b654c375baf57ffc2d3

[ "BSD-3-Clause" ]

23

2017-08-28T18:29:09.000Z

2022-03-20T01:59:26.000Z

from pyziabm.orderbook3 import Orderbook import unittest class TestOrderbook(unittest.TestCase): ''' Attribute objects in the Orderbook class include: order_history: list _bid_book: dictionary _bid_book_prices: sorted list _ask_book: dictionary _ask_book_prices: sorted list confirm_modify_collector: list confirm_trade_collector: list sip_collector: list trade_book: list Each method impacts one or more of these attributes. ''' def setUp(self): ''' setUp creates the Orderbook instance and a set of orders ''' self.ex1 = Orderbook() self.q1_buy = {'order_id': 't1_1', 'timestamp': 2, 'type': 'add', 'quantity': 1, 'side': 'buy', 'price': 50} self.q2_buy = {'order_id': 't1_2', 'timestamp': 3, 'type': 'add', 'quantity': 1, 'side': 'buy', 'price': 50} self.q3_buy = {'order_id': 't10_1', 'timestamp': 4, 'type': 'add', 'quantity': 3, 'side': 'buy', 'price': 49} self.q4_buy = {'order_id': 't11_1', 'timestamp': 5, 'type': 'add', 'quantity': 3, 'side': 'buy', 'price': 47} self.q1_sell = {'order_id': 't1_3', 'timestamp': 2, 'type': 'add', 'quantity': 1, 'side': 'sell', 'price': 52} self.q2_sell = {'order_id': 't1_4', 'timestamp': 3, 'type': 'add', 'quantity': 1, 'side': 'sell', 'price': 52} self.q3_sell = {'order_id': 't10_2', 'timestamp': 4, 'type': 'add', 'quantity': 3, 'side': 'sell', 'price': 53} self.q4_sell = {'order_id': 't11_2', 'timestamp': 5, 'type': 'add', 'quantity': 3, 'side': 'sell', 'price': 55} def test_add_order_to_history(self): ''' add_order_to_history() impacts the order_history list ''' h1 = {'order_id': 't1_5', 'timestamp': 4, 'type': 'add', 'quantity': 5, 'side': 'sell', 'price': 55} self.assertFalse(self.ex1.order_history) h1['exid'] = 1 self.ex1._add_order_to_history(h1) self.assertDictEqual(h1, self.ex1.order_history[0]) def test_add_order_to_book(self): ''' add_order_to_book() impacts _bid_book and _bid_book_prices or _ask_book and _ask_book_prices Add two buy orders, then two sell orders ''' # 2 buy orders self.assertFalse(self.ex1._bid_book_prices) self.assertFalse(self.ex1._bid_book) self.ex1.add_order_to_book(self.q1_buy) self.assertTrue(50 in self.ex1._bid_book_prices) self.assertTrue(50 in self.ex1._bid_book.keys()) self.assertEqual(self.ex1._bid_book[50]['num_orders'], 1) self.assertEqual(self.ex1._bid_book[50]['size'], 1) self.assertEqual(self.ex1._bid_book[50]['order_ids'][0], self.q1_buy['order_id']) self.assertDictEqual(self.ex1._bid_book[50]['orders'][self.q1_buy['order_id']], self.q1_buy) self.ex1.add_order_to_book(self.q2_buy) self.assertEqual(self.ex1._bid_book[50]['num_orders'], 2) self.assertEqual(self.ex1._bid_book[50]['size'], 2) self.assertEqual(self.ex1._bid_book[50]['order_ids'][1], self.q2_buy['order_id']) self.assertDictEqual(self.ex1._bid_book[50]['orders'][self.q2_buy['order_id']], self.q2_buy) # 2 sell orders self.assertFalse(self.ex1._ask_book_prices) self.assertFalse(self.ex1._ask_book) self.ex1.add_order_to_book(self.q1_sell) self.assertTrue(52 in self.ex1._ask_book_prices) self.assertTrue(52 in self.ex1._ask_book.keys()) self.assertEqual(self.ex1._ask_book[52]['num_orders'], 1) self.assertEqual(self.ex1._ask_book[52]['size'], 1) self.assertEqual(self.ex1._ask_book[52]['order_ids'][0], self.q1_sell['order_id']) self.assertDictEqual(self.ex1._ask_book[52]['orders'][self.q1_sell['order_id']], self.q1_sell) self.ex1.add_order_to_book(self.q2_sell) self.assertEqual(self.ex1._ask_book[52]['num_orders'], 2) self.assertEqual(self.ex1._ask_book[52]['size'], 2) self.assertEqual(self.ex1._ask_book[52]['order_ids'][1], self.q2_sell['order_id']) self.assertDictEqual(self.ex1._ask_book[52]['orders'][self.q2_sell['order_id']], self.q2_sell) def test_remove_order(self): ''' _remove_order() impacts _bid_book and _bid_book_prices or _ask_book and _ask_book_prices Add two orders, remove the second order twice ''' # buy orders self.ex1.add_order_to_book(self.q1_buy) self.ex1.add_order_to_book(self.q2_buy) self.assertTrue(50 in self.ex1._bid_book_prices) self.assertTrue(50 in self.ex1._bid_book.keys()) self.assertEqual(self.ex1._bid_book[50]['num_orders'], 2) self.assertEqual(self.ex1._bid_book[50]['size'], 2) self.assertEqual(len(self.ex1._bid_book[50]['order_ids']), 2) # remove first order self.ex1._remove_order('buy', 50, 't1_1') self.assertEqual(self.ex1._bid_book[50]['num_orders'], 1) self.assertEqual(self.ex1._bid_book[50]['size'], 1) self.assertEqual(len(self.ex1._bid_book[50]['order_ids']), 1) self.assertFalse('t1_1' in self.ex1._bid_book[50]['orders'].keys()) self.assertTrue(50 in self.ex1._bid_book_prices) # remove second order self.ex1._remove_order('buy', 50, 't1_2') self.assertFalse(self.ex1._bid_book_prices) self.assertEqual(self.ex1._bid_book[50]['num_orders'], 0) self.assertEqual(self.ex1._bid_book[50]['size'], 0) self.assertEqual(len(self.ex1._bid_book[50]['order_ids']), 0) self.assertFalse('t1_2' in self.ex1._bid_book[50]['orders'].keys()) self.assertFalse(50 in self.ex1._bid_book_prices) # remove second order again self.ex1._remove_order('buy', 50, 't1_2') self.assertFalse(self.ex1._bid_book_prices) self.assertEqual(self.ex1._bid_book[50]['num_orders'], 0) self.assertEqual(self.ex1._bid_book[50]['size'], 0) self.assertEqual(len(self.ex1._bid_book[50]['order_ids']), 0) self.assertFalse('t1_2' in self.ex1._bid_book[50]['orders'].keys()) # sell orders self.ex1.add_order_to_book(self.q1_sell) self.ex1.add_order_to_book(self.q2_sell) self.assertTrue(52 in self.ex1._ask_book_prices) self.assertTrue(52 in self.ex1._ask_book.keys()) self.assertEqual(self.ex1._ask_book[52]['num_orders'], 2) self.assertEqual(self.ex1._ask_book[52]['size'], 2) self.assertEqual(len(self.ex1._ask_book[52]['order_ids']), 2) # remove first order self.ex1._remove_order('sell', 52, 't1_3') self.assertEqual(self.ex1._ask_book[52]['num_orders'], 1) self.assertEqual(self.ex1._ask_book[52]['size'], 1) self.assertEqual(len(self.ex1._ask_book[52]['order_ids']), 1) self.assertFalse('t1_1' in self.ex1._ask_book[52]['orders'].keys()) self.assertTrue(52 in self.ex1._ask_book_prices) # remove second order self.ex1._remove_order('sell', 52, 't1_4') self.assertFalse(self.ex1._ask_book_prices) self.assertEqual(self.ex1._ask_book[52]['num_orders'], 0) self.assertEqual(self.ex1._ask_book[52]['size'], 0) self.assertEqual(len(self.ex1._ask_book[52]['order_ids']), 0) self.assertFalse('t1_2' in self.ex1._ask_book[52]['orders'].keys()) self.assertFalse(52 in self.ex1._ask_book_prices) # remove second order again self.ex1._remove_order('sell', 52, 't1_4') self.assertFalse(self.ex1._ask_book_prices) self.assertEqual(self.ex1._ask_book[52]['num_orders'], 0) self.assertEqual(self.ex1._ask_book[52]['size'], 0) self.assertEqual(len(self.ex1._ask_book[52]['order_ids']), 0) self.assertFalse('t1_2' in self.ex1._ask_book[52]['orders'].keys()) def test_modify_order(self): ''' _modify_order() primarily impacts _bid_book or _ask_book _modify_order() could impact _bid_book_prices or _ask_book_prices if the order results in removing the full quantity with a call to _remove_order() Add 1 order, remove partial, then remainder ''' # Buy order q1 = {'order_id': 't1_1', 'timestamp': 5, 'type': 'add', 'quantity': 2, 'side': 'buy', 'price': 50} self.ex1.add_order_to_book(q1) self.assertEqual(self.ex1._bid_book[50]['size'], 2) # remove 1 self.ex1._modify_order('buy', 1, 't1_1', 50) self.assertEqual(self.ex1._bid_book[50]['size'], 1) self.assertEqual(self.ex1._bid_book[50]['orders']['t1_1']['quantity'], 1) self.assertTrue(self.ex1._bid_book_prices) # remove remainder self.ex1._modify_order('buy', 1, 't1_1', 50) self.assertFalse(self.ex1._bid_book_prices) self.assertEqual(self.ex1._bid_book[50]['num_orders'], 0) self.assertEqual(self.ex1._bid_book[50]['size'], 0) self.assertFalse('t1_1' in self.ex1._bid_book[50]['orders'].keys()) # Sell order q2 = {'order_id': 't1_1', 'timestamp': 5, 'type': 'add', 'quantity': 2, 'side': 'sell', 'price': 50} self.ex1.add_order_to_book(q2) self.assertEqual(self.ex1._ask_book[50]['size'], 2) # remove 1 self.ex1._modify_order('sell', 1, 't1_1', 50) self.assertEqual(self.ex1._ask_book[50]['size'], 1) self.assertEqual(self.ex1._ask_book[50]['orders']['t1_1']['quantity'], 1) self.assertTrue(self.ex1._ask_book_prices) # remove remainder self.ex1._modify_order('sell', 1, 't1_1', 50) self.assertFalse(self.ex1._ask_book_prices) self.assertEqual(self.ex1._ask_book[50]['num_orders'], 0) self.assertEqual(self.ex1._ask_book[50]['size'], 0) self.assertFalse('t1_1' in self.ex1._ask_book[50]['orders'].keys()) def test_add_trade_to_book(self): ''' add_trade_to_book() impacts trade_book Check trade book empty, add a trade, check non-empty, verify dict equality ''' t1 = dict(resting_order_id='t1_1', resting_timestamp=2, incoming_order_id='t2_1', timestamp=5, price=50, quantity=1, side='buy') self.assertFalse(self.ex1.trade_book) self.ex1._add_trade_to_book('t1_1', 2, 't2_1', 5, 50, 1, 'buy') self.assertTrue(self.ex1.trade_book) self.assertDictEqual(t1, self.ex1.trade_book[0]) def test_confirm_trade(self): ''' confirm_trade() impacts confirm_trade_collector Check confirm trade collector empty, add a trade, check non-empty, verify dict equality ''' t2 = dict(timestamp=5, trader='t3', order_id='t3_1', quantity=1, side='sell', price=50) self.assertFalse(self.ex1.confirm_trade_collector) self.ex1._confirm_trade(5, 'sell', 1, 't3_1', 50) self.assertTrue(self.ex1.confirm_trade_collector) self.assertDictEqual(t2, self.ex1.confirm_trade_collector[0]) def test_confirm_modify(self): ''' confirm_modify() impacts confirm_modify_collector Check confirm modify collector empty, add a trade, check non-empty, verify dict equality ''' m1 = dict(timestamp=7, trader='t5', order_id='t5_10', quantity=5, side='buy') self.assertFalse(self.ex1.confirm_modify_collector) self.ex1._confirm_modify(7, 'buy', 5, 't5_10') self.assertTrue(self.ex1.confirm_modify_collector) self.assertDictEqual(m1, self.ex1.confirm_modify_collector[0]) def test_process_order(self): ''' process_order() impacts confirm_modify_collector, traded indicator, order_history, _bid_book and _bid_book_prices or _ask_book and _ask_book_prices. process_order() is a traffic manager. An order is either an add order or not. If it is an add order, it is either priced to go directly to the book or is sent to match_trade (which is tested below). If it is not an add order, it is either modified or cancelled. To test, we will add some buy and sell orders, then test for trades, cancels and modifies. process_order() also resets some object collectors. ''' self.q2_buy['quantity'] = 2 self.q2_sell['quantity'] = 2 self.assertEqual(len(self.ex1._ask_book_prices), 0) self.assertEqual(len(self.ex1._bid_book_prices), 0) self.assertFalse(self.ex1.confirm_modify_collector) self.assertFalse(self.ex1.order_history) self.assertFalse(self.ex1.traded) # seed order book self.ex1.add_order_to_book(self.q1_buy) self.ex1.add_order_to_book(self.q1_sell) # process new orders self.ex1.process_order(self.q2_buy) self.ex1.process_order(self.q2_sell) self.assertEqual(len(self.ex1._ask_book_prices), 1) self.assertEqual(len(self.ex1._bid_book_prices), 1) self.assertEqual(len(self.ex1.order_history), 2) # marketable sell takes out 1 share q3_sell = {'order_id': 't3_1', 'timestamp': 5, 'type': 'add', 'quantity': 1, 'side': 'sell', 'price': 0} self.ex1.process_order(q3_sell) self.assertEqual(len(self.ex1.order_history), 3) self.assertEqual(self.ex1._bid_book[50]['num_orders'], 1) self.assertEqual(self.ex1._bid_book[50]['size'], 2) self.assertTrue(self.ex1.traded) # marketable buy takes out 1 share q3_buy = {'order_id': 't3_2', 'timestamp': 5, 'type': 'add', 'quantity': 1, 'side': 'buy', 'price': 10000} self.ex1.process_order(q3_buy) self.assertEqual(len(self.ex1.order_history), 4) self.assertEqual(self.ex1._ask_book[52]['num_orders'], 1) self.assertEqual(self.ex1._ask_book[52]['size'], 2) self.assertTrue(self.ex1.traded) # add/cancel buy order q4_buy = {'order_id': 't4_1', 'timestamp': 10, 'type': 'add', 'quantity': 1, 'side': 'buy', 'price': 48} self.ex1.process_order(q4_buy) self.assertEqual(len(self.ex1.order_history), 5) self.assertEqual(len(self.ex1._bid_book_prices), 2) self.assertEqual(self.ex1._bid_book[48]['num_orders'], 1) self.assertEqual(self.ex1._bid_book[48]['size'], 1) self.assertFalse(self.ex1.traded) q4_cancel1 = {'order_id': 't4_1', 'timestamp': 10, 'type': 'cancel', 'quantity': 1, 'side': 'buy', 'price': 48} self.ex1.process_order(q4_cancel1) self.assertEqual(len(self.ex1.order_history), 6) self.assertEqual(len(self.ex1._bid_book_prices), 1) self.assertFalse(self.ex1.traded) # add/cancel sell order q4_sell = {'order_id': 't4_2', 'timestamp': 10, 'type': 'add', 'quantity': 1, 'side': 'sell', 'price': 54} self.ex1.process_order(q4_sell) self.assertEqual(len(self.ex1.order_history), 7) self.assertEqual(len(self.ex1._ask_book_prices), 2) self.assertEqual(self.ex1._ask_book[54]['num_orders'], 1) self.assertEqual(self.ex1._ask_book[54]['size'], 1) self.assertFalse(self.ex1.traded) q4_cancel2 = {'order_id': 't4_2', 'timestamp': 10, 'type': 'cancel', 'quantity': 1, 'side': 'sell', 'price': 54} self.ex1.process_order(q4_cancel2) self.assertEqual(len(self.ex1.order_history), 8) self.assertEqual(len(self.ex1._ask_book_prices), 1) self.assertFalse(self.ex1.traded) # add/modify buy order q5_buy = {'order_id': 't5_1', 'timestamp': 10, 'type': 'add', 'quantity': 5, 'side': 'buy', 'price': 48} self.ex1.process_order(q5_buy) self.assertEqual(len(self.ex1.order_history), 9) self.assertEqual(len(self.ex1._bid_book_prices), 2) self.assertEqual(self.ex1._bid_book[48]['num_orders'], 1) self.assertEqual(self.ex1._bid_book[48]['size'], 5) q5_modify1 = {'order_id': 't5_1', 'timestamp': 10, 'type': 'modify', 'quantity': 2, 'side': 'buy', 'price': 48} self.ex1.process_order(q5_modify1) self.assertEqual(len(self.ex1.order_history), 10) self.assertEqual(len(self.ex1._bid_book_prices), 2) self.assertEqual(self.ex1._bid_book[48]['size'], 3) self.assertEqual(self.ex1._bid_book[48]['orders']['t5_1']['quantity'], 3) self.assertEqual(len(self.ex1.confirm_modify_collector), 1) self.assertFalse(self.ex1.traded) # add/modify sell order q5_sell = {'order_id': 't5_1', 'timestamp': 10, 'type': 'add', 'quantity': 5, 'side': 'sell', 'price': 54} self.ex1.process_order(q5_sell) self.assertEqual(len(self.ex1.order_history), 11) self.assertEqual(len(self.ex1._ask_book_prices), 2) self.assertEqual(self.ex1._ask_book[54]['num_orders'], 1) self.assertEqual(self.ex1._ask_book[54]['size'], 5) q5_modify2 = {'order_id': 't5_1', 'timestamp': 10, 'type': 'modify', 'quantity': 2, 'side': 'sell', 'price': 54} self.ex1.process_order(q5_modify2) self.assertEqual(len(self.ex1.order_history), 12) self.assertEqual(len(self.ex1._ask_book_prices), 2) self.assertEqual(self.ex1._ask_book[54]['size'], 3) self.assertEqual(self.ex1._ask_book[54]['orders']['t5_1']['quantity'], 3) self.assertEqual(len(self.ex1.confirm_modify_collector), 1) self.assertFalse(self.ex1.traded) def test_match_trade_sell(self): ''' An incoming order can: 1. take out part of an order, 2. take out an entire price level, 3. if priced, take out a price level and make a new inside market. ''' # seed order book self.ex1.add_order_to_book(self.q1_buy) self.ex1.add_order_to_book(self.q1_sell) # process new orders self.ex1.process_order(self.q2_buy) self.ex1.process_order(self.q2_sell) self.ex1.process_order(self.q3_buy) self.ex1.process_order(self.q3_sell) self.ex1.process_order(self.q4_buy) self.ex1.process_order(self.q4_sell) # The book: bids: 2@50, 3@49, 3@47 ; asks: 2@52, 3@53, 3@55 self.assertEqual(self.ex1._bid_book[47]['size'], 3) self.assertEqual(self.ex1._bid_book[49]['size'], 3) self.assertEqual(self.ex1._bid_book[50]['size'], 2) self.assertEqual(self.ex1._ask_book[52]['size'], 2) self.assertEqual(self.ex1._ask_book[53]['size'], 3) self.assertEqual(self.ex1._ask_book[55]['size'], 3) #self.assertFalse(self.ex1.sip_collector) # market sell order takes out part of first best bid q1 = {'order_id': 't100_1', 'timestamp': 10, 'type': 'add', 'quantity': 1, 'side': 'sell', 'price': 0} self.ex1.process_order(q1) self.assertEqual(self.ex1._bid_book[50]['size'], 1) self.assertTrue(50 in self.ex1._bid_book_prices) self.assertEqual(self.ex1._bid_book[49]['size'], 3) self.assertEqual(self.ex1._bid_book[47]['size'], 3) self.assertEqual(self.ex1._bid_book[50]['orders'][self.ex1._bid_book[50]['order_ids'][0]]['quantity'], 1) #self.assertEqual(len(self.ex1.sip_collector), 1) # market sell order takes out remainder first best bid and all of the next level self.assertEqual(len(self.ex1._bid_book_prices), 3) q2 = {'order_id': 't100_2', 'timestamp': 11, 'type': 'add', 'quantity': 4, 'side': 'sell', 'price': 0} self.ex1.process_order(q2) self.assertEqual(len(self.ex1._bid_book_prices), 1) self.assertFalse(50 in self.ex1._bid_book_prices) self.assertFalse(49 in self.ex1._bid_book_prices) self.assertTrue(47 in self.ex1._bid_book_prices) #self.assertEqual(len(self.ex1.sip_collector), 3) # make new market q3 = {'order_id': 't101_1', 'timestamp': 12, 'type': 'add', 'quantity': 2, 'side': 'buy', 'price': 48} q4 = {'order_id': 't102_1', 'timestamp': 13, 'type': 'add', 'quantity': 3, 'side': 'sell', 'price': 48} self.ex1.process_order(q3) self.assertEqual(len(self.ex1._bid_book_prices), 2) self.assertTrue(48 in self.ex1._bid_book_prices) self.assertTrue(47 in self.ex1._bid_book_prices) self.assertEqual(self.ex1._bid_book_prices[-1], 48) self.assertEqual(self.ex1._bid_book_prices[-2], 47) # sip_collector does not reset until new trade at new time #self.assertEqual(len(self.ex1.sip_collector), 3) self.ex1.process_order(q4) self.assertEqual(len(self.ex1._bid_book_prices), 1) self.assertFalse(48 in self.ex1._bid_book_prices) self.assertTrue(47 in self.ex1._bid_book_prices) self.assertEqual(len(self.ex1._ask_book_prices), 4) self.assertTrue(48 in self.ex1._ask_book_prices) self.assertEqual(self.ex1._ask_book_prices[0], 48) self.assertEqual(self.ex1._bid_book_prices[-1], 47) #self.assertEqual(len(self.ex1.sip_collector), 1) def test_match_trade_buy(self): ''' An incoming order can: 1. take out part of an order, 2. take out an entire price level, 3. if priced, take out a price level and make a new inside market. ''' # seed order book self.ex1.add_order_to_book(self.q1_buy) self.ex1.add_order_to_book(self.q1_sell) # process new orders self.ex1.process_order(self.q2_buy) self.ex1.process_order(self.q2_sell) self.ex1.process_order(self.q3_buy) self.ex1.process_order(self.q3_sell) self.ex1.process_order(self.q4_buy) self.ex1.process_order(self.q4_sell) # The book: bids: 2@50, 3@49, 3@47 ; asks: 2@52, 3@53, 3@55 self.assertEqual(self.ex1._bid_book[47]['size'], 3) self.assertEqual(self.ex1._bid_book[49]['size'], 3) self.assertEqual(self.ex1._bid_book[50]['size'], 2) self.assertEqual(self.ex1._ask_book[52]['size'], 2) self.assertEqual(self.ex1._ask_book[53]['size'], 3) self.assertEqual(self.ex1._ask_book[55]['size'], 3) # market buy order takes out part of first best ask q1 = {'order_id': 't100_1', 'timestamp': 10, 'type': 'add', 'quantity': 1, 'side': 'buy', 'price': 100000} self.ex1.process_order(q1) self.assertEqual(self.ex1._ask_book[52]['size'], 1) self.assertTrue(52 in self.ex1._ask_book_prices) self.assertEqual(self.ex1._ask_book[53]['size'], 3) self.assertEqual(self.ex1._ask_book[55]['size'], 3) self.assertEqual(self.ex1._ask_book[52]['orders'][self.ex1._ask_book[52]['order_ids'][0]]['quantity'], 1) # market buy order takes out remainder first best ask and all of the next level self.assertEqual(len(self.ex1._ask_book_prices), 3) q2 = {'order_id': 't100_2', 'timestamp': 11, 'type': 'add', 'quantity': 4, 'side': 'buy', 'price': 100000} self.ex1.process_order(q2) self.assertEqual(len(self.ex1._ask_book_prices), 1) self.assertFalse(52 in self.ex1._ask_book_prices) self.assertFalse(53 in self.ex1._ask_book_prices) self.assertTrue(55 in self.ex1._ask_book_prices) # make new market q3 = {'order_id': 't101_1', 'timestamp': 12, 'type': 'add', 'quantity': 2, 'side': 'sell', 'price': 54} q4 = {'order_id': 't102_1', 'timestamp': 13, 'type': 'add', 'quantity': 3, 'side': 'buy', 'price': 54} self.ex1.process_order(q3) self.assertEqual(len(self.ex1._ask_book_prices), 2) self.assertTrue(55 in self.ex1._ask_book_prices) self.assertTrue(54 in self.ex1._ask_book_prices) self.assertEqual(self.ex1._ask_book_prices[0], 54) self.assertEqual(self.ex1._ask_book_prices[1], 55) self.ex1.process_order(q4) self.assertEqual(len(self.ex1._ask_book_prices), 1) self.assertFalse(54 in self.ex1._ask_book_prices) self.assertTrue(55 in self.ex1._ask_book_prices) self.assertEqual(len(self.ex1._bid_book_prices), 4) self.assertTrue(54 in self.ex1._bid_book_prices) self.assertEqual(self.ex1._ask_book_prices[0], 55) self.assertEqual(self.ex1._bid_book_prices[-1], 54) def test_report_top_of_book(self): ''' At setup(), top of book has 2 to sell at 52 and 2 to buy at 50 at time = 3 ''' self.ex1.add_order_to_book(self.q1_buy) self.ex1.add_order_to_book(self.q2_buy) self.ex1.add_order_to_book(self.q1_sell) self.ex1.add_order_to_book(self.q2_sell) tob_check = {'timestamp': 5, 'best_bid': 50, 'best_ask': 52, 'bid_size': 2, 'ask_size': 2} self.ex1.report_top_of_book(5) self.assertDictEqual(self.ex1._sip_collector[0], tob_check) def test_market_collapse(self): ''' At setup(), there is 8 total bid size and 8 total ask size A trade for 8 or more should collapse the market ''' print('Market Collapse Tests to stdout:\n') # seed order book self.ex1.add_order_to_book(self.q1_buy) self.ex1.add_order_to_book(self.q1_sell) # process new orders self.ex1.process_order(self.q2_buy) self.ex1.process_order(self.q2_sell) self.ex1.process_order(self.q3_buy) self.ex1.process_order(self.q3_sell) self.ex1.process_order(self.q4_buy) self.ex1.process_order(self.q4_sell) # The book: bids: 2@50, 3@49, 3@47 ; asks: 2@52, 3@53, 3@55 # market buy order takes out part of the asks: no collapse q1 = {'order_id': 't100_1', 'timestamp': 10, 'type': 'add', 'quantity': 4, 'side': 'buy', 'price': 100000} self.ex1.process_order(q1) # next market buy order takes out the asks: market collapse q2 = {'order_id': 't100_2', 'timestamp': 10, 'type': 'add', 'quantity': 5, 'side': 'buy', 'price': 100000} self.ex1.process_order(q2) # market sell order takes out part of the bids: no collapse q3 = {'order_id': 't100_3', 'timestamp': 10, 'type': 'add', 'quantity': 4, 'side': 'sell', 'price': 0} self.ex1.process_order(q3) # next market sell order takes out the asks: market collapse q4 = {'order_id': 't100_4', 'timestamp': 10, 'type': 'add', 'quantity': 5, 'side': 'sell', 'price': 0} self.ex1.process_order(q4)

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eae89428953de91fc2c529955a2c6bb7203a3b5b

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py

Python

neural-networks-and-deep-learning/mnist/src/sigmoid.py

jitendra8911/Machine-Learning

9f2770ce8d9c427c941462b774f99a20ea5c2078

[ "MIT" ]

null

neural-networks-and-deep-learning/mnist/src/sigmoid.py

jitendra8911/Machine-Learning

9f2770ce8d9c427c941462b774f99a20ea5c2078

[ "MIT" ]

null

neural-networks-and-deep-learning/mnist/src/sigmoid.py

jitendra8911/Machine-Learning

9f2770ce8d9c427c941462b774f99a20ea5c2078

[ "MIT" ]

null

import numpy as np def sigmoid(z): return 1.0/(1.0+np.exp(-z))

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Python

Code/ModelSelection/datafold-master/datafold/pcfold/tests/test_distance.py

sazio/SSVEP_IEEE_SMC_2021

8cae603d04dd8d623f01cf1e8979cf8ac9e0809f

[ "MIT" ]

1

2022-02-21T01:58:12.000Z

Code/ModelSelection/datafold-master/datafold/pcfold/tests/test_distance.py

sazio/SSVEP_IEEE_SMC_2021

8cae603d04dd8d623f01cf1e8979cf8ac9e0809f

[ "MIT" ]

null

Code/ModelSelection/datafold-master/datafold/pcfold/tests/test_distance.py

sazio/SSVEP_IEEE_SMC_2021

8cae603d04dd8d623f01cf1e8979cf8ac9e0809f

[ "MIT" ]

null

#!/usr/bin/env python import unittest import warnings import numpy as np import numpy.testing as nptest import scipy import scipy.sparse from scipy.sparse.base import SparseEfficiencyWarning from scipy.spatial.distance import cdist, pdist, squareform from datafold.pcfold.distance import ( _all_available_distance_algorithm, _ensure_kmin_nearest_neighbor, compute_distance_matrix, ) from datafold.utils.general import is_symmetric_matrix class TestDistAlgorithms(unittest.TestCase): def setUp(self) -> None: self.data_X = np.random.rand(500, 100) self.data_Y = np.random.rand(300, 100) self.algos = _all_available_distance_algorithm() def test_pdist_dense(self): backend_options = {} expected = squareform(pdist(self.data_X)) for metric in ["euclidean", "sqeuclidean"]: if metric == "sqeuclidean": expected = np.square(expected) for algo in self.algos: try: actual = compute_distance_matrix( X=self.data_X, metric=metric, cut_off=None, kmin=0, backend=algo.backend_name, **backend_options, ) self.assertIsInstance(actual, np.ndarray) nptest.assert_allclose(actual, expected, atol=1e-14, rtol=1e-14) except AssertionError as e: print(f"{algo.backend_name} failed for metric {metric}") raise e def test_cdist_dense(self): backend_options = {} # NOTE: first Y and then X because, the Y (query points) should be in rows, the X # (reference points) in columns This turned out to be a better handling for # equations (e.g. in geometric harmonics). expected = cdist(self.data_Y, self.data_X) for metric in ["euclidean", "sqeuclidean"]: if metric == "sqeuclidean": expected = np.square(expected) for algo in self.algos: try: actual = compute_distance_matrix( X=self.data_X, Y=self.data_Y, metric=metric, cut_off=None, kmin=0, backend=algo.backend_name, **backend_options, ) self.assertIsInstance(actual, np.ndarray) nptest.assert_allclose(actual, expected, atol=1e-15, rtol=1e-14) except Exception as e: print(f"{algo.backend_name} failed for metric {metric}") raise e def test_pdist_sparse(self): backend_options = {} expected = squareform(pdist(self.data_X)) cut_off = float(np.median(expected)) expected[expected > cut_off] = 0 for metric in ["euclidean", "sqeuclidean"]: if metric == "sqeuclidean": expected = np.square(expected) for algo in self.algos: try: actual = compute_distance_matrix( X=self.data_X, metric=metric, cut_off=cut_off, kmin=0, backend=algo.backend_name, **backend_options, ) self.assertIsInstance(actual, scipy.sparse.csr_matrix) nptest.assert_allclose( actual.toarray(), expected, atol=1e-14, rtol=1e-14 ) self.assertTrue(is_symmetric_matrix(actual, tol=0)) except Exception as e: print(f"{algo.backend_name} failed for metric {metric}") raise e def test_cdist_sparse(self): backend_options = {} # See also comment in 'test_cdist_dense' expected = cdist(self.data_Y, self.data_X) cut_off = float(np.median(expected)) expected[expected > cut_off] = 0 for metric in ["euclidean", "sqeuclidean"]: if metric == "sqeuclidean": expected = np.square(expected) for algo in self.algos: try: actual = compute_distance_matrix( X=self.data_X, Y=self.data_Y, metric=metric, cut_off=cut_off, kmin=0, backend=algo.backend_name, **backend_options, ) self.assertIsInstance(actual, scipy.sparse.csr_matrix) nptest.assert_allclose( actual.toarray(), expected, atol=1e-15, rtol=1e-14 ) except Exception as e: print(f"{algo.backend_name} failed with metric {metric}") raise e def test_pdist_sparse_zeros(self): backend_options = {} expected = squareform(pdist(self.data_X)) cut_off = float(np.median(expected)) with warnings.catch_warnings(): warnings.simplefilter("ignore", SparseEfficiencyWarning) expected[expected > cut_off] = 0 expected = scipy.sparse.csr_matrix(expected) expected.eliminate_zeros() expected.setdiag(0) expected.sort_indices() for metric in ["euclidean", "sqeuclidean"]: if metric == "sqeuclidean": expected.data = np.square(expected.data) for algo in self.algos: try: actual = compute_distance_matrix( X=self.data_X, metric=metric, cut_off=cut_off, kmin=0, backend=algo.backend_name, **backend_options, ) self.assertTrue(is_symmetric_matrix(actual, tol=0)) self.assertIsInstance(actual, scipy.sparse.csr_matrix) nptest.assert_allclose( expected.data, actual.data, atol=1e-14, rtol=1e-14 ) except Exception as e: print(f"{algo.backend_name} failed for metric {metric}") raise e def test_cdist_sparse_duplicate_zeros(self): backend_options = {} data_Y = self.data_Y.copy() # make copy to manipulate values data_Y[0:3, :] = self.data_X[0:3, :] # make duplicate values expected = cdist(data_Y, self.data_X) cut_off = float(np.median(expected)) expected[expected > cut_off] = 0 with warnings.catch_warnings(): warnings.simplefilter("ignore", SparseEfficiencyWarning) expected = scipy.sparse.csr_matrix(expected) expected[0, 0] = 0 expected[1, 1] = 0 expected[2, 2] = 0 expected.sort_indices() for metric in ["euclidean", "sqeuclidean"]: if metric == "sqeuclidean": expected.data = np.square(expected.data) for algo in self.algos: try: actual = compute_distance_matrix( X=self.data_X, Y=data_Y, metric=metric, cut_off=cut_off, backend=algo.backend_name, **backend_options, ) self.assertIsInstance(actual, scipy.sparse.csr_matrix) nptest.assert_allclose( actual.data, expected.data, atol=1e-15, rtol=1e-14 ) except Exception as e: print(f"{algo.backend_name} failed for metric {metric}") raise e def test_ensure_kmin_nearest_neighbours_pdist(self): print("SUPRESSED SPARSITY WARNINGS. TODO: See #93") warnings.filterwarnings("ignore", category=SparseEfficiencyWarning) for quantile in [0.1, 0.2, 0.3, 0.7, 0.8, 0.9]: for kmin in np.linspace(1, self.data_X.shape[1], 5).astype(int): cut_off = np.quantile(pdist(self.data_X), q=quantile) # The matrix is essentially zero, with only the diagonal saved zeros pdist_distance_matrix = compute_distance_matrix( self.data_X, cut_off=cut_off ) distance_matrix = _ensure_kmin_nearest_neighbor( self.data_X, Y=None, metric="euclidean", kmin=kmin, distance_matrix=pdist_distance_matrix, ) try: self.assertTrue((distance_matrix.getnnz(axis=1) >= kmin).all()) self.assertTrue(is_symmetric_matrix(distance_matrix)) rows, columns = distance_matrix.nonzero() actual = scipy.sparse.csr_matrix( ( pdist_distance_matrix[rows, columns].A1, (rows, columns), ), shape=distance_matrix.shape, ) self.assertTrue(is_symmetric_matrix(actual)) nptest.assert_array_equal( actual.toarray(), distance_matrix.toarray(), ) except AssertionError as e: print(f"Failed for quantile={quantile} and kmin={kmin}") raise e def test_ensure_kmin_nearest_neighbours_cdist(self): print("SUPRESSED SPARSITY WARNINGS. TODO: See #93") warnings.filterwarnings("ignore", category=SparseEfficiencyWarning) for quantile in [0.1, 0.2, 0.3, 0.7, 0.8, 0.9]: for kmin in np.linspace(1, self.data_X.shape[1], 5).astype(int): cut_off = np.quantile(pdist(self.data_X), q=quantile) # The matrix is essentially zero, with only the diagonal saved zeros cdist_distance_matrix = compute_distance_matrix( self.data_X, Y=self.data_Y, cut_off=cut_off ) # TODO: resolve SparsityWarning, see issue #93 distance_matrix = _ensure_kmin_nearest_neighbor( self.data_X, Y=self.data_Y, metric="euclidean", kmin=kmin, distance_matrix=cdist_distance_matrix, ) try: rows, columns = distance_matrix.nonzero() actual = scipy.sparse.csr_matrix( ( cdist_distance_matrix[rows, columns].A1, (rows, columns), ), shape=distance_matrix.shape, ) nptest.assert_array_equal( actual.toarray(), distance_matrix.toarray() ) self.assertTrue((distance_matrix.getnnz(axis=1) >= kmin).all()) except AssertionError as e: print(f"Failed for quantile={quantile} and kmin={kmin}") raise e

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0.012665

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null

0

1

0

1

0

null

0

5

dc2d538cffa6e7812c3a0eaf4ec2ed79d7c98320

40

py

Python

src/server_design/algorithms/compressor/designSolutions/sol_600.py

robertpardillo/Funnel

f45e419f55e085bbb95e17c47b4c94a7c625ba9b

[ "MIT" ]

1

2021-05-18T16:10:49.000Z

src/server_design/algorithms/compressor/designSolutions/sol_600.py

robertpardillo/Funnel

f45e419f55e085bbb95e17c47b4c94a7c625ba9b

[ "MIT" ]

null

src/server_design/algorithms/compressor/designSolutions/sol_600.py

robertpardillo/Funnel

f45e419f55e085bbb95e17c47b4c94a7c625ba9b

[ "MIT" ]

null

def sol600(design_parameters): pass

20

31

0.75

5

40

5.8

1

0

0.090909

0.175

40

2

32

20

0.787879

0

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0.5

false

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

dc2ffc94a7cdc227630c7f8f6be61fff02127643

170

py

Python

(a+b)2.py

keerthana1502/python_practice

8c0499e014826af78f9a88730551ace3fa79686d

[ "bzip2-1.0.6" ]

null

(a+b)2.py

keerthana1502/python_practice

8c0499e014826af78f9a88730551ace3fa79686d

[ "bzip2-1.0.6" ]

null

(a+b)2.py

keerthana1502/python_practice

8c0499e014826af78f9a88730551ace3fa79686d

[ "bzip2-1.0.6" ]

null

def formula(): a=int(input("Enter a ")) b=int(input("Enter b ")) print((for1(a,b))*(for1(a,b))) print(for1(a,b)) def for1(a,b): return(a+b) formula()

18.888889

34

0.541176

31

170

2.967742

0.322581

0.130435

0.26087

0.23913

0.26087

0

0.029412

0.2

170

8

35

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0.647059

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0.25

false

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0.25

0

null

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1

0

1

0

null

0

1

0

1

0

5

dc8412de9117f48342eb9c7b616f1bda7d1ed248

162

py

Python

dynamic_initial_data/apps.py

wesleykendall/django-dynamic-initial-data

22764dd1e8d6be92b54909604101890513a8379f

[ "MIT" ]

9

2015-05-13T17:27:41.000Z

2021-01-18T01:06:16.000Z

dynamic_initial_data/apps.py

wesleykendall/django-dynamic-initial-data

22764dd1e8d6be92b54909604101890513a8379f

[ "MIT" ]

9

2015-03-26T20:51:49.000Z

2021-04-12T16:21:18.000Z

dynamic_initial_data/apps.py

wesleykendall/django-dynamic-initial-data

22764dd1e8d6be92b54909604101890513a8379f

[ "MIT" ]

9

2015-03-26T19:21:02.000Z

2019-06-06T18:11:24.000Z

from django.apps import AppConfig class DynamicInitialDataConfig(AppConfig): name = 'dynamic_initial_data' verbose_name = 'Django Dynamic Initial Data'

23.142857

48

0.783951

18

162

6.888889

0.666667

0.225806

0.290323

0

0.154321

162

6

49

27

0.905109

0

0.290123

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false

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0.25

0

1

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1

0

null

1

0

1

0

null

0

1

0

5

dc89cbb03ca8101fdfda78a7fe75dce383a9fcf5

182

py

Python

pydirector/pdnetwork.py

skyline75489/pythondirector

47cffd9ce4581d7587a1f8ff91a20d453f96d5d8

[ "Unlicense" ]

null

pydirector/pdnetwork.py

skyline75489/pythondirector

47cffd9ce4581d7587a1f8ff91a20d453f96d5d8

[ "Unlicense" ]

null

pydirector/pdnetwork.py

skyline75489/pythondirector

47cffd9ce4581d7587a1f8ff91a20d453f96d5d8

[ "Unlicense" ]

null

import pdlogging try: from pdnetworktwisted import * except ImportError: pdlogging.log("no twisted available - falling back to asyncore") from pdnetworkasyncore import *

26

68

0.763736

20

182

6.95

0.8

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0.181319

182

6

69

30.333333

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0.258242

0

1

0

true

0

0.666667

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1

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null

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0

null

0

1

0

1

0

1

0

5

dca8c4e34c5019f4bb145dc197ec7370b23bd6d0

14,871

py

Python

python/medifor/v1/pipeline_pb2_grpc.py

lanl/medifor

a20e71d1f0e7473a29c4ed5323c7d9368458d5ba

[ "Apache-2.0" ]

null

python/medifor/v1/pipeline_pb2_grpc.py

lanl/medifor

a20e71d1f0e7473a29c4ed5323c7d9368458d5ba

[ "Apache-2.0" ]

null

python/medifor/v1/pipeline_pb2_grpc.py

lanl/medifor

a20e71d1f0e7473a29c4ed5323c7d9368458d5ba

[ "Apache-2.0" ]

null

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! import grpc from medifor.v1 import analytic_pb2 as medifor_dot_v1_dot_analytic__pb2 from medifor.v1 import pipeline_pb2 as medifor_dot_v1_dot_pipeline__pb2 class PipelineStub(object): # missing associated documentation comment in .proto file pass def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.Detect = channel.unary_unary( '/mediforproto.Pipeline/Detect', request_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionInfo.FromString, ) self.GetDetectionInfo = channel.unary_unary( '/mediforproto.Pipeline/GetDetectionInfo', request_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionInfoRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionInfo.FromString, ) self.GetDetectionList = channel.unary_unary( '/mediforproto.Pipeline/GetDetectionList', request_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionListRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionList.FromString, ) self.DeleteDetection = channel.unary_unary( '/mediforproto.Pipeline/DeleteDetection', request_serializer=medifor_dot_v1_dot_pipeline__pb2.DeleteDetectionRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_analytic__pb2.Empty.FromString, ) self.Fuse = channel.unary_unary( '/mediforproto.Pipeline/Fuse', request_serializer=medifor_dot_v1_dot_pipeline__pb2.FusionRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.FusionInfo.FromString, ) self.FuseByID = channel.unary_unary( '/mediforproto.Pipeline/FuseByID', request_serializer=medifor_dot_v1_dot_pipeline__pb2.FusionRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.FusionInfo.FromString, ) self.FuseAllIDs = channel.unary_unary( '/mediforproto.Pipeline/FuseAllIDs', request_serializer=medifor_dot_v1_dot_pipeline__pb2.FuseAllIDsRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.FuseAllIDsResponse.FromString, ) self.UpdateDetectionTags = channel.unary_unary( '/mediforproto.Pipeline/UpdateDetectionTags', request_serializer=medifor_dot_v1_dot_pipeline__pb2.UpdateDetectionTagsRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionInfo.FromString, ) self.GetDetectionTagInfo = channel.unary_unary( '/mediforproto.Pipeline/GetDetectionTagInfo', request_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionTagInfoRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionTagInfo.FromString, ) self.GetAnalyticMeta = channel.unary_unary( '/mediforproto.Pipeline/GetAnalyticMeta', request_serializer=medifor_dot_v1_dot_analytic__pb2.Empty.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.AnalyticList.FromString, ) self.ListDetections = channel.unary_unary( '/mediforproto.Pipeline/ListDetections', request_serializer=medifor_dot_v1_dot_pipeline__pb2.ListDetectionsRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionList.FromString, ) self.UpdateDetectionMetadata = channel.unary_unary( '/mediforproto.Pipeline/UpdateDetectionMetadata', request_serializer=medifor_dot_v1_dot_pipeline__pb2.UpdateDetectionMetadataRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionInfo.FromString, ) self.GetAnalyticStats = channel.unary_unary( '/mediforproto.Pipeline/GetAnalyticStats', request_serializer=medifor_dot_v1_dot_pipeline__pb2.GetAnalyticStatsRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.GetAnalyticStatsResponse.FromString, ) self.GetHistogram = channel.unary_unary( '/mediforproto.Pipeline/GetHistogram', request_serializer=medifor_dot_v1_dot_pipeline__pb2.GetHistogramRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.GetHistogramResponse.FromString, ) self.DeleteFailedAnalytics = channel.unary_unary( '/mediforproto.Pipeline/DeleteFailedAnalytics', request_serializer=medifor_dot_v1_dot_pipeline__pb2.DeleteFailedAnalyticsRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.DeleteFailedAnalyticsResponse.FromString, ) self.GetAnalyticsWithScores = channel.unary_unary( '/mediforproto.Pipeline/GetAnalyticsWithScores', request_serializer=medifor_dot_v1_dot_pipeline__pb2.GetAnalyticsWithScoresRequest.SerializeToString, response_deserializer=medifor_dot_v1_dot_pipeline__pb2.GetAnalyticsWithScoresResponse.FromString, ) class PipelineServicer(object): # missing associated documentation comment in .proto file pass def Detect(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetDetectionInfo(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetDetectionList(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DeleteDetection(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def Fuse(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def FuseByID(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def FuseAllIDs(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def UpdateDetectionTags(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetDetectionTagInfo(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetAnalyticMeta(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ListDetections(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def UpdateDetectionMetadata(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetAnalyticStats(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetHistogram(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DeleteFailedAnalytics(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetAnalyticsWithScores(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_PipelineServicer_to_server(servicer, server): rpc_method_handlers = { 'Detect': grpc.unary_unary_rpc_method_handler( servicer.Detect, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionInfo.SerializeToString, ), 'GetDetectionInfo': grpc.unary_unary_rpc_method_handler( servicer.GetDetectionInfo, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionInfoRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionInfo.SerializeToString, ), 'GetDetectionList': grpc.unary_unary_rpc_method_handler( servicer.GetDetectionList, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionListRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionList.SerializeToString, ), 'DeleteDetection': grpc.unary_unary_rpc_method_handler( servicer.DeleteDetection, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.DeleteDetectionRequest.FromString, response_serializer=medifor_dot_v1_dot_analytic__pb2.Empty.SerializeToString, ), 'Fuse': grpc.unary_unary_rpc_method_handler( servicer.Fuse, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.FusionRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.FusionInfo.SerializeToString, ), 'FuseByID': grpc.unary_unary_rpc_method_handler( servicer.FuseByID, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.FusionRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.FusionInfo.SerializeToString, ), 'FuseAllIDs': grpc.unary_unary_rpc_method_handler( servicer.FuseAllIDs, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.FuseAllIDsRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.FuseAllIDsResponse.SerializeToString, ), 'UpdateDetectionTags': grpc.unary_unary_rpc_method_handler( servicer.UpdateDetectionTags, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.UpdateDetectionTagsRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionInfo.SerializeToString, ), 'GetDetectionTagInfo': grpc.unary_unary_rpc_method_handler( servicer.GetDetectionTagInfo, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.DetectionTagInfoRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionTagInfo.SerializeToString, ), 'GetAnalyticMeta': grpc.unary_unary_rpc_method_handler( servicer.GetAnalyticMeta, request_deserializer=medifor_dot_v1_dot_analytic__pb2.Empty.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.AnalyticList.SerializeToString, ), 'ListDetections': grpc.unary_unary_rpc_method_handler( servicer.ListDetections, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.ListDetectionsRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionList.SerializeToString, ), 'UpdateDetectionMetadata': grpc.unary_unary_rpc_method_handler( servicer.UpdateDetectionMetadata, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.UpdateDetectionMetadataRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.DetectionInfo.SerializeToString, ), 'GetAnalyticStats': grpc.unary_unary_rpc_method_handler( servicer.GetAnalyticStats, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.GetAnalyticStatsRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.GetAnalyticStatsResponse.SerializeToString, ), 'GetHistogram': grpc.unary_unary_rpc_method_handler( servicer.GetHistogram, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.GetHistogramRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.GetHistogramResponse.SerializeToString, ), 'DeleteFailedAnalytics': grpc.unary_unary_rpc_method_handler( servicer.DeleteFailedAnalytics, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.DeleteFailedAnalyticsRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.DeleteFailedAnalyticsResponse.SerializeToString, ), 'GetAnalyticsWithScores': grpc.unary_unary_rpc_method_handler( servicer.GetAnalyticsWithScores, request_deserializer=medifor_dot_v1_dot_pipeline__pb2.GetAnalyticsWithScoresRequest.FromString, response_serializer=medifor_dot_v1_dot_pipeline__pb2.GetAnalyticsWithScoresResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'mediforproto.Pipeline', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,))

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f4bcebf3e4c54d50058c5c2dcf5af491fbc618b3

66

py

Python

sequencer/__init__.py

dalya/Sequencer

53a8920f1a19f4399338613c2b7b747dac545502

[ "MIT" ]

100

2020-03-05T20:11:57.000Z

2022-03-28T15:28:48.000Z

sequencer/__init__.py

dalya/Sequencer

53a8920f1a19f4399338613c2b7b747dac545502

[ "MIT" ]

2

2020-06-21T20:05:56.000Z

2022-03-28T14:11:17.000Z

sequencer/__init__.py

dalya/Sequencer

53a8920f1a19f4399338613c2b7b747dac545502

[ "MIT" ]

16

2020-03-31T19:58:12.000Z

2022-01-31T11:37:05.000Z

""" Sequencer code in python """ from .sequencer_ import Sequencer

16.5

33

0.757576

8

66

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0.136364

66

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33

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f4de8dc4edc3a5ec18e7b4e7e143c217f12b05b1

80

py

Python

Tests/Bugs/lepage/r_lepage_3_t.py

jwilk/Pyrex

83dfbae1261788933472e3f9c501ad74c61a37c5

[ "Apache-2.0" ]

5

2019-05-26T20:48:36.000Z

2021-07-09T01:38:38.000Z

Tests/Bugs/lepage/r_lepage_3_t.py

jwilk/Pyrex

83dfbae1261788933472e3f9c501ad74c61a37c5

[ "Apache-2.0" ]

null

Tests/Bugs/lepage/r_lepage_3_t.py

jwilk/Pyrex

83dfbae1261788933472e3f9c501ad74c61a37c5

[ "Apache-2.0" ]

1

2022-02-10T07:14:58.000Z

import r_lepage_3 g = r_lepage_3.Grail() g("spam", 42, ["tomato", "sandwich"])

16

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null

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5

521c6c3a4bc112762cec88bf0297957c37b0fea8

2,226

py

Python

core/protocols/transport/tcp.py

CarboniDavide/rtscan

3fe447235d0534a7d66e7d6f5e8b9c00d8832b4f

[ "MIT" ]

null

core/protocols/transport/tcp.py

CarboniDavide/rtscan

3fe447235d0534a7d66e7d6f5e8b9c00d8832b4f

[ "MIT" ]

null

core/protocols/transport/tcp.py

CarboniDavide/rtscan

3fe447235d0534a7d66e7d6f5e8b9c00d8832b4f

[ "MIT" ]

null

import socket from struct import * HEADER_BASE_LENGTH = 20 class TCPHeader: def __init__(self, value = None): self.__value = value self.__unpacked = unpack('!HHLLBBHHH', value) def __getitem__(self, key): return self.__value[key] def __repr__(self): return self.__value def __str__(self): return str(self.__value) @property def source_port(self): return self.__unpacked[0] @property def destination_port(self): return self.__unpacked[1] @property def sequence(self): return self.__unpacked[2] @property def acknowledgement(self): return self.__unpacked[3] @property def doff_reserved(self): return self.__unpacked[4] @property def control_flags(self): return self.__unpacked[5] @property def window_size(self): return self.__unpacked[6] @property def check_sum(self): return self.__unpacked[7] @property def urgent_pointer(self): return self.__unpacked[8] @property def header_length(self): return self.doff_reserved >> 4 @property def size(self): return (self.doff_reserved >> 4 ) * 4 @property def unpacked(self): return self.__unpacked class TCPData: def __init__(self, value = None): self.__value = value def __getitem__(self, key): return self.__value[key] def __repr__(self): return self.__value def __str__(self): return str(self.__value) @property def value(self): return self.__value @property def size(self): return len(self.__value) class TCP: def __init__(self, packet = None): self.__value = packet self.__header = TCPHeader(packet[:HEADER_BASE_LENGTH]) self.__data = TCPData(packet[self.__header.size:]) def __repr__(self): return self.__value def __str__(self): return str(self.__value) @property def value(self): return self.__value @property def header(self): return self.__header @property def data(self): return self.__data

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