xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

79f742cdabbb8c0220bec876e45f2379ff5b758f

6,049

py

Python

python/test_gilded_rose.py

agooding-netizen/GildedRose-Refactoring-Kata

34c6503b3937a118f78da3f4e4a9b6db7e5ca676

[ "MIT" ]

null

python/test_gilded_rose.py

agooding-netizen/GildedRose-Refactoring-Kata

34c6503b3937a118f78da3f4e4a9b6db7e5ca676

[ "MIT" ]

null

python/test_gilded_rose.py

agooding-netizen/GildedRose-Refactoring-Kata

34c6503b3937a118f78da3f4e4a9b6db7e5ca676

[ "MIT" ]

null

# -*- coding: utf-8 -*- import unittest from gilded_rose import Item, GildedRose class GildedRoseTest(unittest.TestCase): def test_concert_under_5(self): items = [Item("Backstage passes to a TAFKAL80ETC concert", 2, 30)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(33, items[0].quality) def test_concert_under_10(self): items = [Item("Backstage passes to a TAFKAL80ETC concert", 8, 30)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(32, items[0].quality) def test_concert(self): items = [Item("Backstage passes to a TAFKAL80ETC concert", 12, 30)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(31, items[0].quality) def test_concert_expired(self): items = [Item("Backstage passes to a TAFKAL80ETC concert", 0, 24)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(0, items[0].quality) def test_concert_max_10(self): items = [Item("Backstage passes to a TAFKAL80ETC concert", 9, 50)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(50, items[0].quality) def test_concert_max_5(self): items = [Item("Backstage passes to a TAFKAL80ETC concert", 4, 50)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(50, items[0].quality) def test_concert_max(self): items = [Item("Backstage passes to a TAFKAL80ETC concert", 13, 50)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(50, items[0].quality) def test_vest(self): items = [Item("+5 Dexterity Vest", 10, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(19, items[0].quality) def test_vest_expired(self): items = [Item("+5 Dexterity Vest", 0, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(18, items[0].quality) def test__vest_min(self): items = [Item("+5 Dexterity Vest", 5, 0)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(0, items[0].quality) def test_mongoose(self): items = [Item("Elixir of the Mongoose", 10, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(19, items[0].quality) def test_mongoose_expired(self): items = [Item("Elixir of the Mongoose", 0, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(18, items[0].quality) def test_mongoose_min(self): items = [Item("Elixir of the Mongoose", 5, 0)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(0, items[0].quality) def test_sulfuras(self): items = [Item("Sulfuras, Hand of Ragnaros", 10, 80)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(80, items[0].quality) def test_sulfuras_expired(self): items = [Item("Sulfuras, Hand of Ragnaros", 0, 80)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(80, items[0].quality) def test_brie(self): items = [Item("Aged Brie", 10, 0)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(1, items[0].quality) def test_brie_expired(self): items = [Item("Aged Brie", 0, 0)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(2, items[0].quality) def test_brie_max(self): items = [Item("Aged Brie", 12, 49)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(50, items[0].quality) def test_conjured(self): items = [Item("Conjured Mana Cake", 10, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(18, items[0].quality) def test_conjured_expired(self): items = [Item("Conjured Mana Cake", 0, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(16, items[0].quality) def test_conjured_min(self): items = [Item("Conjured Mana Cake", 5, 0)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(0, items[0].quality) def test_concert_sell_in(self): items = [Item("Backstage passes to a TAFKAL80ETC concert", 10, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(9, items[0].sell_in) def test_vest_sell_in(self): items = [Item("+5 Dexterity Vest", 10, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(9, items[0].sell_in) def test_mongoose_sell_in(self): items = [Item("Elixir of the Mongoose", 10, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(9, items[0].sell_in) def test_sulfuras_sell_in(self): items = [Item("Sulfuras, Hand of Ragnaros", 0, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(0, items[0].sell_in) def test_brie_sell_in(self): items = [Item("Aged Brie", 10, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(9, items[0].sell_in) def test_conjured_sell_in(self): items = [Item("Conjured Mana Cake", 10, 20)] gilded_rose = GildedRose(items) gilded_rose.update_quality() self.assertEquals(9, items[0].sell_in) if __name__ == '__main__': unittest.main()

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null

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0319ac2bd885a373250b677223d60ab2ad10b322

173

py

Python

reports/__init__.py

shawnclq/Adversarial-Threat-Detector

fb5cc98ed46138e6630989721f6b4481cf1879a5

[ "MIT" ]

29

2021-02-12T14:17:35.000Z

2022-02-22T17:11:05.000Z

reports/__init__.py

shawnclq/Adversarial-Threat-Detector

fb5cc98ed46138e6630989721f6b4481cf1879a5

[ "MIT" ]

null

reports/__init__.py

shawnclq/Adversarial-Threat-Detector

fb5cc98ed46138e6630989721f6b4481cf1879a5

[ "MIT" ]

6

2021-02-19T10:12:45.000Z

2021-12-09T02:18:54.000Z

# Module providing evasion attacks. from reports.report_utility import ReportUtility from reports.report_html import HtmlReport from reports.report_ipynb import IpynbReport

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0335b861256d5ca962ca3ef0fedbc5d0cbfc301e

68,613

py

Python

benchmarks/SimResults/_bigLittle_hrrs_splash_tugberk_heteroFair/cmp_raytrace/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/_bigLittle_hrrs_splash_tugberk_heteroFair/cmp_raytrace/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/_bigLittle_hrrs_splash_tugberk_heteroFair/cmp_raytrace/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0466431, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.239324, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.315017, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.450727, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.780497, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.447637, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.67886, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.397229, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 6.18764, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0595135, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0163392, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.133049, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.120839, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.192563, 'Execution Unit/Register Files/Runtime Dynamic': 0.137178, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.334279, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.85709, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 3.31783, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00370645, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00370645, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00323215, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00125331, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00173585, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.0123809, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0354002, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.116165, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.387954, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.394549, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 0.94645, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0538804, 'L2/Runtime Dynamic': 0.0110246, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 4.63042, 'Load Store Unit/Data Cache/Runtime Dynamic': 1.63627, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.109781, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.109781, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 5.15094, 'Load Store Unit/Runtime Dynamic': 2.28746, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.270702, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.541404, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591622, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283406, 'Memory Management Unit/Area': 0.434579, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0960729, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0968322, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00813591, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0637469, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.724585, 'Memory Management Unit/Runtime Dynamic': 0.160579, 'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 25.6475, 'Renaming Unit/Area': 0.369768, 'Renaming Unit/FP Front End RAT/Area': 0.168486, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.207629, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925, 'Renaming Unit/Free List/Area': 0.0414755, 'Renaming Unit/Free List/Gate Leakage': 4.15911e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0401324, 'Renaming Unit/Free List/Runtime Dynamic': 0.0255462, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987, 'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End RAT/Area': 0.114751, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.230114, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781, 'Renaming Unit/Peak Dynamic': 4.56169, 'Renaming Unit/Runtime Dynamic': 0.463289, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 7.18663, 'Subthreshold Leakage': 6.21877, 'Subthreshold Leakage with power gating': 2.58311}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0231676, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.220885, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.157012, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.169059, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 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Python

bindsnet_master/bindsnet/preprocessing/__init__.py

Singular-Brain/ProjectBrain

2d22d45c13a86825c0dcaf517a59e02f2c4f6164

[ "MIT" ]

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2021-06-01T03:43:35.000Z

2022-02-11T10:41:06.000Z

bindsnet_master/bindsnet/preprocessing/__init__.py

Singular-Brain/ProjectBrain

2d22d45c13a86825c0dcaf517a59e02f2c4f6164

[ "MIT" ]

1

2022-03-31T03:22:14.000Z

bindsnet_master/bindsnet/preprocessing/__init__.py

Singular-Brain/ProjectBrain

2d22d45c13a86825c0dcaf517a59e02f2c4f6164

[ "MIT" ]

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2021-10-30T02:30:40.000Z

2021-11-16T04:23:12.000Z

from .preprocessing import AbstractPreprocessor

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Python

teraserver/python/tests/modules/FlaskModule/API/user/test_UserRefreshToken.py

introlab/opentera

bfc4de672c9de40b7c9a659be2138731e7ee4e94

[ "Apache-2.0" ]

10

2020-03-16T14:46:06.000Z

2022-02-11T16:07:38.000Z

teraserver/python/tests/modules/FlaskModule/API/user/test_UserRefreshToken.py

introlab/opentera

bfc4de672c9de40b7c9a659be2138731e7ee4e94

[ "Apache-2.0" ]

114

2019-09-16T13:02:50.000Z

2022-03-22T19:17:36.000Z

teraserver/python/tests/modules/FlaskModule/API/user/test_UserRefreshToken.py

introlab/opentera

bfc4de672c9de40b7c9a659be2138731e7ee4e94

[ "Apache-2.0" ]

null

from tests.modules.FlaskModule.API.BaseAPITest import BaseAPITest import datetime class UserRefreshTokenTest(BaseAPITest): login_endpoint = '/api/user/login' test_endpoint = '/api/user/refresh_token' def setUp(self): pass def tearDown(self): pass def test_no_token_http_auth_refresh(self): response = self._request_with_http_auth(username='admin', password='admin') self.assertEqual(401, response.status_code) def test_valid_token_refresh(self): response = self._login_with_http_auth(username='admin', password='admin') self.assertEqual(200, response.status_code) login_info = response.json() self.assertTrue(login_info.__contains__('user_token')) token = login_info['user_token'] response = self._request_with_token_auth(token=token) self.assertEqual(200, response.status_code) token_info = response.json() self.assertTrue(token_info.__contains__('refresh_token')) refresh_token = token_info['refresh_token'] self.assertGreater(len(refresh_token), 0) def test_invalid_token_refresh_with_disabled_token(self): response = self._login_with_http_auth(username='admin', password='admin') self.assertEqual(200, response.status_code) login_info = response.json() self.assertTrue(login_info.__contains__('user_token')) login_token = login_info['user_token'] response = self._request_with_token_auth(token=login_token) self.assertEqual(200, response.status_code) token_info = response.json() self.assertTrue(token_info.__contains__('refresh_token')) refresh_token = token_info['refresh_token'] self.assertGreater(len(refresh_token), 0) # This should not work, token should be disabled response = self._request_with_token_auth(token=login_token) self.assertEqual(401, response.status_code) def test_invalid_token_refresh_with_no_token(self): response = self._login_with_http_auth(username='admin', password='admin') self.assertEqual(200, response.status_code) login_info = response.json() self.assertTrue(login_info.__contains__('user_token')) login_token = login_info['user_token'] response = self._request_with_token_auth(token='') self.assertEqual(401, response.status_code)

42.803571

83

0.71214

289

2,397

5.50519

0.17301

0.067882

0.090509

0.072282

0.801383

0.76807

0.745443

0.710245

0.676933

0

0.01334

0.1869

2,397

55

84

43.581818

0.802976

0.019191

0

0.673913

0

0.080885

0.009791

0

0.326087

1

0.130435

false

0.130435

0.043478

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0.23913

0

null

0

1

0

null

0

1

0

7

cefb5f24c4f3c4801369be89f481998cbadf0585

12,408

py

Python

tests/test_utils.py

jannikluhn/ethereum-accounts

164da163b99fe63ffd6d23a21b90e53e0c245952

[ "MIT" ]

null

tests/test_utils.py

jannikluhn/ethereum-accounts

164da163b99fe63ffd6d23a21b90e53e0c245952

[ "MIT" ]

null

tests/test_utils.py

jannikluhn/ethereum-accounts

164da163b99fe63ffd6d23a21b90e53e0c245952

[ "MIT" ]

null

import pytest from ethereum.utils import ( privtoaddr, privtopub, ) from eth_utils import ( remove_0x_prefix, encode_hex, decode_hex, is_0x_prefixed, is_checksum_address, is_hex, is_same_address, ) from eth_accounts import ( random_private_key, private_key_to_address, private_key_to_public_key, public_key_to_address, ) from eth_accounts.utils import ( normalize_message, normalize_password, normalize_private_key, normalize_public_key, normalize_signature, ) @pytest.mark.parametrize('key', [random_private_key() for _ in range(100)]) def test_random_private_key(key): assert is_hex(key) assert is_0x_prefixed(key) assert len(key) == 64 + 2 @pytest.mark.parametrize('key', [random_private_key() for _ in range(100)]) def test_private_key_to_public_key(key): # tests against pyethereum reference = encode_hex(privtopub(decode_hex(key))) public_key = private_key_to_public_key(key) assert is_0x_prefixed(public_key) assert is_hex(public_key) assert len(public_key) == 130 + 2 assert public_key == reference assert private_key_to_public_key(decode_hex(key)) == reference assert private_key_to_public_key(remove_0x_prefix(key)) == reference @pytest.mark.parametrize('key', [random_private_key() for _ in range(100)]) def test_private_key_to_address(key): # tests against pyethereum reference = encode_hex(privtoaddr(decode_hex(key))) address = private_key_to_address(key) assert is_0x_prefixed(address) assert is_checksum_address(address) assert is_same_address(address, reference) assert is_same_address(private_key_to_address(decode_hex(key)), reference) assert is_same_address(private_key_to_address(remove_0x_prefix(key)), reference) @pytest.mark.parametrize('key', [random_private_key() for _ in range(100)]) def test_public_key_to_address(key): # tests against pyethereum public_key = encode_hex(privtopub(decode_hex(key))) reference = privtoaddr(decode_hex(key)) address = public_key_to_address(public_key) assert is_0x_prefixed(address) assert is_checksum_address(address) assert is_same_address(address, reference) assert is_same_address(public_key_to_address(decode_hex(public_key)), reference) assert is_same_address(public_key_to_address(remove_0x_prefix(public_key)), reference) @pytest.mark.parametrize(('input', 'output', 'error'), [ ('0x0000000000000000000000000000000000000000000000000000000000000000', None, ValueError), ('0x0000000000000000000000000000000000000000000000000000000000000001', None, None), ('0xfffffffffffffffffffffffffffffffebaaedce6af48a03bbfd25e8cd0364140', None, None), ('0xfffffffffffffffffffffffffffffffebaaedce6af48a03bbfd25e8cd0364141', None, ValueError), ('0xaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa'.upper(), '0xaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', None), ('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', '0xaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', None), ('nohex', None, ValueError), (-1, None, ValueError), (0, None, ValueError), (1, '0x0000000000000000000000000000000000000000000000000000000000000001', None), (0xfffffffffffffffffffffffffffffffebaaedce6af48a03bbfd25e8cd0364140, '0xfffffffffffffffffffffffffffffffebaaedce6af48a03bbfd25e8cd0364140', None), (0xfffffffffffffffffffffffffffffffebaaedce6af48a03bbfd25e8cd0364141, None, ValueError), ('0x01', '0x0000000000000000000000000000000000000000000000000000000000000001', None), ('0x000000000000000000000000000000000000000000000000000000000000000001', '0x0000000000000000000000000000000000000000000000000000000000000001', None), (b'\0', None, ValueError), (b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', None, ValueError), (b'\x01', '0x0000000000000000000000000000000000000000000000000000000000000001', None), (b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01', '0x0000000000000000000000000000000000000000000000000000000000000001', None), (b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01', '0x0000000000000000000000000000000000000000000000000000000000000001', None), (b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xfe\xba' b'\xae\xdc\xe6\xafH\xa0;\xbf\xd2^\x8c\xd06A@', '0xfffffffffffffffffffffffffffffffebaaedce6af48a03bbfd25e8cd0364140', None), (b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xfe\xba' b'\xae\xdc\xe6\xafH\xa0;\xbf\xd2^\x8c\xd06AA', None, ValueError), (None, None, TypeError), (1.0, None, TypeError), ([], None, TypeError) ]) def test_private_key_normalization(input, output, error): if error is None: if output is None: output = input assert output == normalize_private_key(input) else: with pytest.raises(error): normalize_private_key(input) @pytest.mark.parametrize(['input', 'output', 'error'], [ ('0x0000000000000000000000000000000000000000000000000000000000000000' '000000000000000000000000000000000000000000000000000000000000000000', None, None), ('0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff' 'ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff', None, None), ('0xFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF' 'FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF', '0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff' 'ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff', None), ('0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff' 'ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff', None, ValueError), ('0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff' 'ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff', None, ValueError), ('nohex', None, ValueError), (b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', '0x0000000000000000000000000000000000000000000000000000000000000000' '000000000000000000000000000000000000000000000000000000000000000000', None), (b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff', '0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff' 'ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff', None), (b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff', None, ValueError), (b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff', None, ValueError), (None, None, TypeError), (5, None, TypeError), (5.0, None, TypeError), ([], None, TypeError) ]) def test_public_key_normalization(input, output, error): if error is None: if output is None: output = input assert output == normalize_public_key(input) else: with pytest.raises(error): normalize_public_key(input) @pytest.mark.parametrize(['input', 'output', 'error'], [ (b'', None, None), (b'password', None, None), ('password', None, TypeError), (None, None, TypeError), (5, None, TypeError), (5.0, None, TypeError), ([], None, TypeError), ([b'password'], None, TypeError) ]) def test_password_normalization(input, output, error): if error is None: if output is None: output = input assert output == normalize_password(input) else: with pytest.raises(error): normalize_password(input) @pytest.mark.parametrize(['input', 'output', 'error'], [ (b'', None, None), (b'message', None, None), ('0xabcd', b'\xab\xcd', None), ('abcd', b'\xab\xcd', None), ('0xAbCd', b'\xab\xcd', None), ('nohex', None, ValueError), (None, None, TypeError), (5, None, TypeError), (5.0, None, TypeError), ([], None, TypeError), ([b'message'], None, TypeError) ]) def test_message_normalization(input, output, error): if error is None: if output is None: output = input assert output == normalize_message(input) else: with pytest.raises(error): normalize_message(input) @pytest.mark.parametrize(['input', 'output', 'error'], [ ('0x0000000000000000000000000000000000000000000000000000000000000000' '000000000000000000000000000000000000000000000000000000000000000000', None, None), ('0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff' 'ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff', None, None), ('0xFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF' 'FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF', '0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff' 'ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff', None), ('0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff' 'ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff', None, ValueError), ('0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff' 'ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff', None, ValueError), ('nohex', None, ValueError), (b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', '0x0000000000000000000000000000000000000000000000000000000000000000' '000000000000000000000000000000000000000000000000000000000000000000', None), (b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff', '0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff' 'ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff', None), (b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff', None, ValueError), (b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff' b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff', None, ValueError), (None, None, TypeError), (5, None, TypeError), (5.0, None, TypeError), ([], None, TypeError) ]) def test_signature_normalization(input, output, error): if error is None: if output is None: output = input assert output == normalize_signature(input) else: with pytest.raises(error): normalize_signature(input)

47

97

0.736863

1,454

12,408

6.172627

0.065337

0.267409

0.381059

0.481337

0.788747

0.763677

0.747409

0.704624

0.685905

0.671421

0

0.161248

0.129836

12,408

263

98

47.178707

0.670001

0.005964

0

0.594142

0

0.133891

0.496513

0.480292

0

0.183455

0

0.100418

1

0.037657

false

0.029289

0.020921

0

0.058577

0

null

1

0

1

0

1

0

1

null

0

8

301aa916d8f95067c10019e3141e2da838b6d492

121

py

Python

platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/panther/calculators/calc_dsa.py

lmnotran/gecko_sdk

2e82050dc8823c9fe0e8908c1b2666fb83056230

[ "Zlib" ]

82

2016-06-29T17:24:43.000Z

2021-04-16T06:49:17.000Z

platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/panther/calculators/calc_dsa.py

lmnotran/gecko_sdk

2e82050dc8823c9fe0e8908c1b2666fb83056230

[ "Zlib" ]

6

2022-01-12T18:22:08.000Z

2022-03-25T10:19:27.000Z

platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/panther/calculators/calc_dsa.py

lmnotran/gecko_sdk

2e82050dc8823c9fe0e8908c1b2666fb83056230

[ "Zlib" ]

56

2016-08-02T10:50:50.000Z

2021-07-19T08:57:34.000Z

from pyradioconfig.parts.nixi.calculators.calc_dsa import CALC_DSA_nixi class CALC_DSA_panther(CALC_DSA_nixi): pass

24.2

71

0.842975

19

121

5

0.578947

0.294737

0.231579

0

0.099174

121

5

72

24.2

0.87156

0

1

0

true

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

8

30796f50157c05afa391060e1c994d16f58984d4

11,778

py

Python

hotviz/example/span_data.py

AxlAlm/hotviz

4269fdf70fcab28a35d11afab8a58393dc2f9a12

[ "MIT" ]

null

hotviz/example/span_data.py

AxlAlm/hotviz

4269fdf70fcab28a35d11afab8a58393dc2f9a12

[ "MIT" ]

null

hotviz/example/span_data.py

AxlAlm/hotviz

4269fdf70fcab28a35d11afab8a58393dc2f9a12

[ "MIT" ]

null

span_data = [ { "token": "I", "pred": { "span_id": None, "label": "X", "score": 0.1, }, }, { "token": "think", "pred": { "span_id": None, "label": "X", "score": 0.1, }, }, { "token": "that", "pred": { "span_id": None, "label": "X", "score": 0.1, }, "gold": { "span_id": "X_1", "label": "X", } }, { "token": "this", "pred": { "span_id": "X_1", "label": "X", "score": 0.6, }, "gold": { "span_id": "X_1", "label": "X", } }, { "token": "is", "pred": { "span_id": "X_1", "label": "X", "score": 0.7, }, "gold": { "span_id": "X_1", "label": "X", } }, { "token": "span", "pred": { "span_id": "X_1", "label": "X", "score": 0.8, }, "gold": { "span_id": "X_1", "label": "X", } }, { "token": "number", "pred": { "span_id": "X_1", "label": "X", "score": 0.9, }, "gold": { "span_id": "X_1", "label": "X", } }, { "token": "one", "pred": { "span_id": "X_1", "label": "X", "score": 0.7, }, "gold": { "span_id": "X_1", "label": "X", } }, { "token": "and", "pred": { "span_id": None, "label": "X", "score": 0.2, }, }, { "token": "then", "pred": { "span_id": None, "label": "Z", "score": 0.3, }, }, { "token": "somewhere", "pred": { "span_id": None, "label": "Z", "score": 0.4, }, }, { "token": "here", "pred": { "span_id": "Z_1", "label": "Z", "score": 0.8, }, "gold": { "span_id": "Z_1", "label": "Z", } }, { "token": "is", "pred": { "span_id": "Z_1", "label": "Z", "score": 0.9, }, "gold": { "span_id": "Z_1", "label": "Z", } }, { "token": "span", "pred": { "span_id": "Z_1", "label": "Z", "score": 0.75, }, "gold": { "span_id": "Z_1", "label": "Z", } }, { "token": "number", "pred": { "span_id": "Z_1", "label": "Z", "score": 0.85, }, "gold": { "span_id": "Z_1", "label": "Z", } }, { "token": "two", "pred": { "span_id": "Z_1", "label": "Z", "score": 0.95, }, "gold": { "span_id": "Z_1", "label": "Z", } }, { "token": ".", "pred": { "span_id": None, "label": "Z", "score": 0.1, }, }, { "token": "Lastly,", "pred": { "span_id": None, "label": "Z", "score": 0.1, }, }, { "token": "we", "pred": { "span_id": "Z_2", "label": "Z", "score": 0.6, }, }, { "token": "have", "pred": { "span_id": "Z_2", "label": "Z", "score": 0.7, }, }, { "token": "span", "pred": { "span_id": "Z_2", "label": "Z", "score": 0.8, }, "gold": { "span_id": "Z_2", "label": "Z", } }, { "token": "number", "pred": { "span_id": "Z_2", "label": "Z", "score": 0.9, }, "gold": { "span_id": "Z_2", "label": "Z", } }, { "token": "three", "pred": { "span_id": "Z_2", "label": "Z", "score": 0.8, }, "gold": { "span_id": "Z_2", "label": "Z", } }, { "token": ".", "pred": { "span_id": None, "label": None, }, }, ]

45.828794

101

0.098149

374

11,778

2.909091

0.104278

0.209559

0.220588

0.154412

0.902574

0.889706

0.875919

0.594669

0.294118

0

0.036398

0.818051

11,778

257

102

45.828794

0.471302

0

0.562249

0

0.090091

0

1

0

false

0

null

1

0

1

0

1

0

1

0

null

0

8

065cb4b5bb16055e3c96c6c238abe821273bf7cd

13,639

py

Python

tests/components/nanoleaf/test_config_flow.py

hnrkp/core

24d017f9744341d42b8fa837e157846c0bb03707

[ "Apache-2.0" ]

1

2021-12-11T00:41:25.000Z

tests/components/nanoleaf/test_config_flow.py

hnrkp/core

24d017f9744341d42b8fa837e157846c0bb03707

[ "Apache-2.0" ]

69

2020-08-04T09:03:43.000Z

2022-03-31T06:13:01.000Z

tests/components/nanoleaf/test_config_flow.py

BKPepe/home-assistant

b4238443c86860a0540df53a8a11b9fed87dea3c

[ "Apache-2.0" ]

null

"""Test the Nanoleaf config flow.""" from unittest.mock import patch from pynanoleaf import InvalidToken, NotAuthorizingNewTokens, Unavailable from homeassistant import config_entries from homeassistant.components.nanoleaf.const import DOMAIN from homeassistant.const import CONF_HOST, CONF_TOKEN from homeassistant.core import HomeAssistant TEST_NAME = "Canvas ADF9" TEST_HOST = "192.168.0.100" TEST_TOKEN = "R34F1c92FNv3pcZs4di17RxGqiLSwHM" TEST_OTHER_TOKEN = "Qs4dxGcHR34l29RF1c92FgiLQBt3pcM" TEST_DEVICE_ID = "5E:2E:EA:XX:XX:XX" TEST_OTHER_DEVICE_ID = "5E:2E:EA:YY:YY:YY" async def test_user_unavailable_user_step(hass: HomeAssistant) -> None: """Test we handle Unavailable errors when host is not available in user step.""" result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_USER} ) with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", side_effect=Unavailable("message"), ): result2 = await hass.config_entries.flow.async_configure( result["flow_id"], { CONF_HOST: TEST_HOST, }, ) assert result2["type"] == "form" assert result2["step_id"] == "user" assert result2["errors"] == {"base": "cannot_connect"} assert not result2["last_step"] async def test_user_unavailable_link_step(hass: HomeAssistant) -> None: """Test we abort if the device becomes unavailable in the link step.""" result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_USER} ) with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", return_value=None, ): result2 = await hass.config_entries.flow.async_configure( result["flow_id"], { CONF_HOST: TEST_HOST, }, ) assert result2["type"] == "form" assert result2["step_id"] == "link" with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", side_effect=Unavailable("message"), ): result3 = await hass.config_entries.flow.async_configure( result["flow_id"], {}, ) assert result3["type"] == "abort" assert result3["reason"] == "cannot_connect" async def test_user_unavailable_setup_finish(hass: HomeAssistant) -> None: """Test we abort if the device becomes unavailable during setup_finish.""" result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_USER} ) with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", return_value=None, ): result2 = await hass.config_entries.flow.async_configure( result["flow_id"], { CONF_HOST: TEST_HOST, }, ) assert result2["type"] == "form" assert result2["step_id"] == "link" with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", return_value=None, ), patch( "homeassistant.components.nanoleaf.config_flow.pynanoleaf_get_info", side_effect=Unavailable("message"), ): result3 = await hass.config_entries.flow.async_configure( result["flow_id"], {}, ) assert result3["type"] == "abort" assert result3["reason"] == "cannot_connect" async def test_user_not_authorizing_new_tokens(hass: HomeAssistant) -> None: """Test we handle NotAuthorizingNewTokens errors.""" result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == "form" assert result["errors"] is None assert not result["last_step"] assert result["step_id"] == "user" with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", side_effect=NotAuthorizingNewTokens("message"), ): result2 = await hass.config_entries.flow.async_configure( result["flow_id"], { CONF_HOST: TEST_HOST, }, ) assert result2["type"] == "form" assert result2["errors"] is None assert result2["step_id"] == "link" result3 = await hass.config_entries.flow.async_configure( result["flow_id"], ) assert result3["type"] == "form" assert result3["errors"] is None assert result3["step_id"] == "link" with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", side_effect=NotAuthorizingNewTokens("message"), ): result4 = await hass.config_entries.flow.async_configure( result["flow_id"], {}, ) assert result4["type"] == "form" assert result4["step_id"] == "link" assert result4["errors"] == {"base": "not_allowing_new_tokens"} async def test_user_exception(hass: HomeAssistant) -> None: """Test we handle Exception errors.""" result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_USER} ) with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", side_effect=Exception, ): result2 = await hass.config_entries.flow.async_configure( result["flow_id"], { CONF_HOST: TEST_HOST, }, ) assert result2["type"] == "form" assert result2["step_id"] == "user" assert result2["errors"] == {"base": "unknown"} assert not result2["last_step"] with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", return_value=None, ): result3 = await hass.config_entries.flow.async_configure( result["flow_id"], { CONF_HOST: TEST_HOST, }, ) assert result3["step_id"] == "link" with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", side_effect=Exception, ): result4 = await hass.config_entries.flow.async_configure( result["flow_id"], {}, ) assert result4["type"] == "form" assert result4["step_id"] == "link" assert result4["errors"] == {"base": "unknown"} with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", return_value=None, ), patch( "homeassistant.components.nanoleaf.config_flow.pynanoleaf_get_info", side_effect=Exception, ): result5 = await hass.config_entries.flow.async_configure( result["flow_id"], {}, ) assert result5["type"] == "abort" assert result5["reason"] == "unknown" async def test_zeroconf_discovery(hass: HomeAssistant) -> None: """Test zeroconfig discovery flow init.""" zeroconf = "_nanoleafms._tcp.local" with patch( "homeassistant.components.nanoleaf.config_flow.pynanoleaf_get_info", return_value={"name": TEST_NAME}, ), patch( "homeassistant.components.nanoleaf.config_flow.load_json", return_value={}, ): result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_ZEROCONF}, data={ "host": TEST_HOST, "name": f"{TEST_NAME}.{zeroconf}", "type": zeroconf, "properties": {"id": TEST_DEVICE_ID}, }, ) assert result["type"] == "form" assert result["step_id"] == "link" async def test_homekit_discovery_link_unavailable( hass: HomeAssistant, ) -> None: """Test homekit discovery and abort if device is unavailable.""" homekit = "_hap._tcp.local" with patch( "homeassistant.components.nanoleaf.config_flow.pynanoleaf_get_info", return_value={"name": TEST_NAME}, ), patch( "homeassistant.components.nanoleaf.config_flow.load_json", return_value={}, ): result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_HOMEKIT}, data={ "host": TEST_HOST, "name": f"{TEST_NAME}.{homekit}", "type": homekit, "properties": {"id": TEST_DEVICE_ID}, }, ) assert result["type"] == "form" assert result["step_id"] == "link" context = next( flow["context"] for flow in hass.config_entries.flow.async_progress() if flow["flow_id"] == result["flow_id"] ) assert context["title_placeholders"] == {"name": TEST_NAME} assert context["unique_id"] == TEST_NAME with patch( "homeassistant.components.nanoleaf.config_flow.Nanoleaf.authorize", side_effect=Unavailable("message"), ): result = await hass.config_entries.flow.async_configure(result["flow_id"], {}) assert result["type"] == "abort" assert result["reason"] == "cannot_connect" async def test_import_config(hass: HomeAssistant) -> None: """Test configuration import.""" with patch( "homeassistant.components.nanoleaf.config_flow.pynanoleaf_get_info", return_value={"name": TEST_NAME}, ), patch( "homeassistant.components.nanoleaf.async_setup_entry", return_value=True, ) as mock_setup_entry: result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_IMPORT}, data={CONF_HOST: TEST_HOST, CONF_TOKEN: TEST_TOKEN}, ) assert result["type"] == "create_entry" assert result["title"] == TEST_NAME assert result["data"] == { CONF_HOST: TEST_HOST, CONF_TOKEN: TEST_TOKEN, } await hass.async_block_till_done() assert len(mock_setup_entry.mock_calls) == 1 async def test_import_config_invalid_token(hass: HomeAssistant) -> None: """Test configuration import with invalid token.""" with patch( "homeassistant.components.nanoleaf.config_flow.pynanoleaf_get_info", side_effect=InvalidToken("message"), ): result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_IMPORT}, data={CONF_HOST: TEST_HOST, CONF_TOKEN: TEST_TOKEN}, ) assert result["type"] == "abort" assert result["reason"] == "invalid_token" async def test_import_last_discovery_integration_host_zeroconf( hass: HomeAssistant, ) -> None: """ Test discovery integration import from < 2021.4 (host) with zeroconf. Device is last in Nanoleaf config file. """ zeroconf = "_nanoleafapi._tcp.local" with patch( "homeassistant.components.nanoleaf.config_flow.load_json", return_value={TEST_HOST: {"token": TEST_TOKEN}}, ), patch( "homeassistant.components.nanoleaf.config_flow.pynanoleaf_get_info", return_value={"name": TEST_NAME}, ), patch( "homeassistant.components.nanoleaf.config_flow.os.remove", return_value=None, ) as mock_remove, patch( "homeassistant.components.nanoleaf.async_setup_entry", return_value=True, ) as mock_setup_entry: result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_ZEROCONF}, data={ "host": TEST_HOST, "name": f"{TEST_NAME}.{zeroconf}", "type": zeroconf, "properties": {"id": TEST_DEVICE_ID}, }, ) assert result["type"] == "create_entry" assert result["title"] == TEST_NAME assert result["data"] == { CONF_HOST: TEST_HOST, CONF_TOKEN: TEST_TOKEN, } mock_remove.assert_called_once() await hass.async_block_till_done() assert len(mock_setup_entry.mock_calls) == 1 async def test_import_not_last_discovery_integration_device_id_homekit( hass: HomeAssistant, ) -> None: """ Test discovery integration import from >= 2021.4 (device_id) with homekit. Device is not the only one in the Nanoleaf config file. """ homekit = "_hap._tcp.local" with patch( "homeassistant.components.nanoleaf.config_flow.load_json", return_value={ TEST_DEVICE_ID: {"token": TEST_TOKEN}, TEST_OTHER_DEVICE_ID: {"token": TEST_OTHER_TOKEN}, }, ), patch( "homeassistant.components.nanoleaf.config_flow.pynanoleaf_get_info", return_value={"name": TEST_NAME}, ), patch( "homeassistant.components.nanoleaf.config_flow.save_json", return_value=None, ) as mock_save_json, patch( "homeassistant.components.nanoleaf.async_setup_entry", return_value=True, ) as mock_setup_entry: result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_HOMEKIT}, data={ "host": TEST_HOST, "name": f"{TEST_NAME}.{homekit}", "type": homekit, "properties": {"id": TEST_DEVICE_ID}, }, ) assert result["type"] == "create_entry" assert result["title"] == TEST_NAME assert result["data"] == { CONF_HOST: TEST_HOST, CONF_TOKEN: TEST_TOKEN, } mock_save_json.assert_called_once() await hass.async_block_till_done() assert len(mock_setup_entry.mock_calls) == 1

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py

Python

DocTAG_Dockerized/DocTAG_App/utils_configuration_and_update.py

DocTAG/doctag-core

0b3c26cca9ef022e6551d5b4f8a02115b497ff2a

[ "MIT" ]

4

2021-11-26T09:38:36.000Z

2022-01-26T17:46:58.000Z

DocTAG_Dockerized/DocTAG_App/utils_configuration_and_update.py

DocTAG/doctag-core

0b3c26cca9ef022e6551d5b4f8a02115b497ff2a

[ "MIT" ]

null

DocTAG_Dockerized/DocTAG_App/utils_configuration_and_update.py

DocTAG/doctag-core

0b3c26cca9ef022e6551d5b4f8a02115b497ff2a

[ "MIT" ]

null

from DocTAG_App.utils import * from psycopg2.extensions import register_adapter, AsIs def addapt_numpy_float64(numpy_float64): return AsIs(numpy_float64) def addapt_numpy_int64(numpy_int64): return AsIs(numpy_int64) register_adapter(numpy.float64, addapt_numpy_float64) register_adapter(numpy.int64, addapt_numpy_int64) from collections import defaultdict from DocTAG_App.utils_pubmed import * import os.path from DocTAG_App.utils_doctag import * """This .py file includes the methods needed to configure MedTAG and update its configuration""" LANGUAGES_NLTK = [ "arabic","danish","dutch","english","finnish","french","german","hungarian","italian","norwegian","porter","portuguese","romanian","russian","spanish","swedish" ] def check_file(reports,pubmedfiles, labels, concepts, jsonDisp, jsonAnn, username, password,topics,runs,tf_idf): """This method checks whether the inserted files complies with the requirements""" json_resp = {} json_keys = [] usecases_list = [] docs = [] tops = [] topics_ids = [] documents_ids = [] languages = [] json_resp['general_message'] = '' json_resp['username_message'] = '' json_resp['report_message'] = '' json_resp['pubmed_message'] = '' json_resp['concept_message'] = '' json_resp['label_message'] = '' json_resp['topic_message'] = '' json_resp['tfidf_message'] = '' json_resp['runs_message'] = '' json_resp['fields_message'] = '' json_resp['keys'] = json_keys #added 2/11 if (len(labels) == 0 and len(concepts) == 0) and len(topics) == 0 and (len(reports) == 0 and len(pubmedfiles) == 0) and len(runs) == 0: json_resp[ 'general_message'] = 'ERROR - You must provide at least four files: the lables (or concepts), the topics, the runs and the reports.' # if len(jsonAnn) == 0: # json_resp[ # 'general_message'] = 'ERROR - You must provide at least one field to annotate.' elif len(reports) == 0 and len(pubmedfiles) == 0: json_resp['general_message'] = 'ERROR - You must provide a file with one or more reports or one or more pubmed files.' elif len(pubmedfiles) > 0 and len(concepts) == 0 and len(labels) == 0: json_resp['general_message'] = 'PUBMED - only mentions allowed.' try: try: cursor = connection.cursor() cursor.execute('SELECT * FROM public.user WHERE username = %s', (str(username),)) ans = cursor.fetchall() # Error on username and password: duplicated username or missing if len(ans) > 0 or username == 'Test': json_resp['username_message'] = 'USERNAME - The username you selected is already taken. Choose another one.' if (username == ''): json_resp['username_message'] = 'USERNAME - Please, provide a username.' if password == '' and username == '': json_resp['username_message'] = 'USERNAME - Please, provide a username and a password.' except (Exception, psycopg2.Error) as e: print(e) json_resp[ 'username_message'] = 'An error occurred handling the username and the password. Please, insert them again.' pass else: if json_resp['username_message'] == '': json_resp['username_message'] = 'Ok' # This is necessary to collect the fields to annotate and display fields = [] fields_to_ann = [] jsondisp = ''.join(jsonDisp) jsonann = ''.join(jsonAnn) jsondisp = jsondisp.split(',') jsonann = jsonann.split(',') for el in jsondisp: if len(el) > 0: fields.append(el) for el in jsonann: if len(el) > 0: fields_to_ann.append(el) if not tf_idf.isdigit(): json_resp['tfidf_message'] = 'TF-IDF - the value must include only digits' if json_resp['tfidf_message'] == '': json_resp['tfidf_message'] = 'Ok' # Error if 0 report files are added if len(reports) == 0 and len(pubmedfiles) == 0: json_resp['report_message'] = 'REPORTS FILES - You must provide at least one file containing reports or at least one file containing PubMED IDs before checking' json_resp['pubmed_message'] = 'PUBMED FILES - You must provide at least one file containing reports or at least one file containing PubMED IDs before checking' if len(topics) == 0: json_resp['topic_message'] = 'TOPIC FILES - You must provide at least one file containing topics' if len(runs) == 0: json_resp['runs_message'] = 'RUNS FILES - You must provide at least one file containing runs' # docs_tot = [] for j in range(len(reports)): r = decompress_files([reports[j]]) for i in range(len(r)): if isinstance(r[i], str): rep_name = r[i] workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in r[i] = os.path.join(workpath, 'static/tmp/' + r[i]) else: rep_name = r[i].name if not rep_name.endswith('csv') and not rep_name.endswith('json'): json_resp['report_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - The file must be .csv and .json and .txt and .Z and .zip' break if rep_name.endswith('.csv'): try: df = pd.read_csv(r[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) # Useful if the csv includes only commas except Exception as e: print(e) json_resp['report_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - An error occurred while parsing the csv. Check if it is well formatted. Check if it contains as many columns as they are declared in the header.' pass else: # check if colunns are allowed and without duplicates cols = list(df.columns) list_db_col = ['document_id','language'] list_not_db_col = [] missing = False for el in list_db_col: if el not in cols and el == 'document_id': json_resp['report_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - The column: ' + el + ' is missing, please add it.' missing = True break if missing: break for id in list(df.document_id.unique()): if not str(id) in documents_ids: # json_resp['report_message'] = 'WARNING DOCUMENTS FILE - ' + rep_name + ' - The id: ' + str(id) + ' is duplicated. The duplicates are ignored.' # else: documents_ids.append(str(id)) for el in cols: if el not in list_db_col: list_not_db_col.append(el) for el in df.document_id: if el.lower().startswith('pubmed_'): json_resp['report_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - reports\' ids can not start with "PUBMED_", please, change the name' # if 0 optional columns are added if len(list_not_db_col) == 0: json_resp['report_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - You must provide at least one column other than the documents\' ids' break # Check if the csv is empty with 0 rows if df.shape[0] == 0: json_resp['report_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - You must provide at least a report.' break else: # check if columns id_report and language have no duplicates df_dup = df[df.duplicated(subset=['document_id'], keep=False)] if 'language' in df: df_dup = df[df.duplicated(subset=['document_id','language'], keep=False)] if df_dup.shape[0] > 0: json_resp['report_message'] = 'WARNING DOCUMENTS FILE - ' + rep_name + ' - The rows: ' + str( df_dup.index.to_list()) + ' are duplicated. The duplicates are ignored.' # Check if the optional rows are empty for one or more reports. exit = False # docs_tot.extend(list(df.document_id.unique())) for ind in range(df.shape[0]): count_both = 0 not_none_cols = [] isnone = True for el in list_not_db_col: if df.loc[ind, el] is not None: isnone = False not_none_cols.append(el) for el in not_none_cols: if el not in jsonann and el not in jsondisp: count_both = count_both + 1 if count_both == len(not_none_cols): json_resp['fields_message'] = 'WARNING REPORT FIELDS TO DISPLAY AND ANNOTATE - ' + rep_name + ' - With this configuration the report at the row: ' + str( ind) + ' would not be displayed since the columns to display are all empty for that report.' if isnone: exit = True json_resp['report_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - The report at row ' + str(ind) + ' has the columns: ' + ', '.join( list_not_db_col) + ' empty. Provide a value for at least one of these columns.' break if exit: break # check if there are None in mandatory columns el = '' if None in df['document_id'].tolist(): el = 'document_id' if el != '': lista = df[el].tolist() ind = lista.index(None) json_resp['report_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + '.' break elif rep_name.endswith('.json'): if isinstance(r[i], str): r[i] = open(r[i], 'r') d = json.load(r[i]) if 'collection' not in d.keys(): json_resp['reports_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - The json is not well formatted.' break exit = False keys_list = [] if len(d['collection']) == 0: json_resp['report_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - You must provide at least a report.' break for document in d['collection']: ind = d['collection'].index(document) if 'document_id' not in list(document.keys()) or document['document_id'] is None: json_resp['reports_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - The ' + str( ind) + ' document does not contain the "document_id" key which is mandatory.' exit = True break doc_keys = list(document.keys()) # docs_tot.append(str(document['document_id'])) if 'language' in document.keys(): doc_keys.remove('language') doc_keys.remove('document_id') is_none = True for key in doc_keys: if key != 'document_id' and key != 'language': if document[key] is not None: is_none = False break if (('document_id' in doc_keys and len(doc_keys) == 1) or ('document_id' in doc_keys and 'language' in doc_keys and len(doc_keys) == 2)) or is_none: json_resp['reports_message'] = 'DOCUMENTS FILE - ' + rep_name + ' - The ' + str(ind) + ' document does not contain the document\' s text.' keys_list.extend(doc_keys) if str(document['document_id']) in documents_ids: json_resp['report_message'] = 'WARNING DOCUMENTS FILE - ' + rep_name + ' - The id ' + str(document['document_id']) + ' is duplicated.' else: documents_ids.append(str(document['document_id'])) count_both = 0 for el in doc_keys: if el not in jsonann and el not in jsondisp: count_both += 1 if count_both == len(doc_keys): json_resp['fields_message'] = 'WARNING REPORT FIELDS TO DISPLAY AND ANNOTATE - ' + rep_name + ' - With this configuration the report at the row: ' + str( ind) + ' would not be displayed since the columns to display are all empty for that report.' if exit == True: break if isinstance(r[i], str): r[i].close() if len(reports) > 0: if json_resp['report_message'] == '': json_resp['report_message'] = 'Ok' for i in range(len(pubmedfiles)): # Error if the file is not csv if not pubmedfiles[i].name.endswith('csv') and not pubmedfiles[i].name.endswith('json') and not pubmedfiles[i].name.endswith( 'txt'): json_resp['pubmed_message'] = 'PUBMED FILE - ' + pubmedfiles[i].name + ' - The file must be .csv or .json or .txt' break if pubmedfiles[i].name.endswith('csv'): try: df = pd.read_csv(pubmedfiles[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) # Useful if the csv includes only commas except Exception as e: print(e) json_resp['pubmed_message'] = 'PUBMED FILE - ' + pubmedfiles[ i].name + ' - An error occurred while parsing the csv. Check if it is well formatted. Check if it contains as many columns as they are declared in the header.' pass else: # check if colunns are allowed and without duplicates cols = list(df.columns) list_db_col = ['document_id'] missing = False for el in list_db_col: if el not in cols and el == 'document_id': json_resp['pubmed_message'] = 'PUBMED FILE - ' + pubmedfiles[i].name + ' - The column: ' + el + ' is missing, please add it.' missing = True break if missing: break for column in cols: null_val = df[df[column].isnull()].index.tolist() if len(null_val) > 0: json_resp['pubmed_message'] = 'PUBMED FILE - ' + pubmedfiles[i].name + ' - You did not inserted the '+column +' for rows: '+null_val.split(', ') # Check if the csv is empty with 0 rows if df.shape[0] == 0: json_resp['pubmed_message'] = 'PUBMED FILE - ' + pubmedfiles[i].name + ' - You must provide at least a report.' break else: # check if columns id_report and language have no duplicates if 'language' in df: df_dup = df[df.duplicated(subset=['document_id','language'], keep=False)] else: df_dup = df[df.duplicated(subset=['document_id'], keep=False)] if df_dup.shape[0] > 0: json_resp['pubmed_message'] = 'WARNING PUBMED FILE - ' + pubmedfiles[i].name + ' - The rows: ' + str(df_dup.index.to_list()) + ' are duplicated. The duplicates are ignored.' ids = ['PUBMED_'+str(id) for id in list(df.document_id.unique())] documents_ids.extend(ids) elif pubmedfiles[i].name.endswith('json'): d = json.load(pubmedfiles[i]) if 'pubmed_ids' not in d.keys(): json_resp['pubmed_message'] = 'PUBMED FILE - ' + pubmedfiles[ i].name + ' - json is not well formatted.' break if d['pubmed_ids'] == []: json_resp['pubmed_message'] = 'PUBMED FILE - ' + pubmedfiles[ i].name + ' - you must provide at least an article id.' break if not isinstance(d['pubmed_ids'],list): json_resp['pubmed_message'] = 'PUBMED FILE - ' + pubmedfiles[ i].name + ' - you must provide at least an article id.' break if len(d['pubmed_ids']) != len(list(set(d['pubmed_ids']))): json_resp['pubmed_message'] = 'WARNING PUBMED FILE - ' + runs[ i].name + ' - some ids seem to be duplicated. They will be ignored.' break ids = ['PUBMED_'+str(id) for id in d['pubmed_ids']] documents_ids.extend(ids) elif pubmedfiles[i].name.endswith('txt'): lines = pubmedfiles[i].readlines() ids = ['PUBMED_'+str(line) for line in lines] if len(lines) == 0 : json_resp['pubmed_message'] = 'PUBMED FILE - ' + runs[ i].name + ' - the file is empty.' break if len(lines) != len(list(set(lines))): json_resp['pubmed_message'] = 'WARNING PUBMED FILE - ' + runs[ i].name + ' - the file contain some duplicates: they will be ignored.' documents_ids.extend(ids) if len(pubmedfiles)>0: if json_resp['pubmed_message'] == '': json_resp['pubmed_message'] = 'Ok' if len(topics) > 0: for i in range(len(topics)): if not topics[i].name.endswith('csv') and not topics[i].name.endswith('json') and not topics[i].name.endswith('txt'): json_resp['topic_message'] = 'TOPIC FILE - ' + topics[i].name + ' - The file must be .csv or .json or .txt' break if topics[i].name.endswith('csv'): # if not labels[i].name.endswith('csv'): # json_resp['label_message'] = 'LABELS FILE - ' + labels[i].name + ' - The file must be .csv' try: df = pd.read_csv(topics[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) except Exception as e: json_resp['topic_message'] = 'TOPIC FILE - ' + topics[ i].name + ' - An error occurred while parsing the csv. Check if is well formatted.' pass else: cols = list(df.columns) list_db_col = ['topic_id','title','description','narrative'] # if 'usecase' in cols: # df['usecase'] = df['usecase'].str.lower() # esco = False for el in list_db_col: if el not in cols and el == 'topic_id': esco = True json_resp['topic_message'] = 'TOPIC FILE - ' + topics[ i].name + ' - The column: ' + el + ' is not present and it is mandatory.' break for el in cols: if el not in list_db_col: json_resp['topic_message'] = 'WARNING TOPIC FILE - ' + topics[ i].name + ' - The column: ' + el + ' is not present.' if esco == True: break for el in cols: if el not in list_db_col: json_resp['topic_message'] = 'TOPIC FILE - ' + topics[ i].name + ' - The column ' + el + ' is not allowed.' break for id in list(df.topic_id.unique()): if str(id) in topics_ids: json_resp['topic_message'] = 'WARNING TOPIC FILE - ' + topics[ i].name + ' - The topic: ' + str(id) + ' is duplicated. The duplicates are ignored.' else: topics_ids.append(str(id)) if df.shape[0] == 0: json_resp['topic_message'] = 'TOPIC FILE - ' + topics[ i].name + ' - You must provide at least a row.' break else: # check if columns annotation_label and name have no duplicates df_dup = df[df.duplicated(subset=['topic_id'], keep=False)] if df_dup.shape[0] > 0: json_resp['topic_message'] = 'WARNING TOPIC FILE - ' + topics[ i].name + ' - The rows: ' + str( df_dup.index.to_list()) + ' are duplicated. The duplicates will be ignored.' el = '' # if None in df['usecase'].tolist(): # el = 'usecase' if None in df['topic_id'].tolist(): el = 'topic_id' if el != '': lista = df[el].tolist() ind = lista.index(None) json_resp['topic_message'] = 'TOPIC FILE - ' + topics[ i].name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + ' .' break elif topics[i].name.endswith('.json'): # with open(topics[i], 'r') as f: d = json.load(topics[i]) doc_top = [] if 'topics' not in d.keys(): json_resp['topic_message'] = 'TOPIC FILE - ' + topics[ i].name + ' - json is not well formatted.' break if d['topics'] == []: json_resp['topic_message'] = 'TOPIC FILE - ' + labels[ i].name + ' - you must provide at least a label.' break for topic in d['topics']: ind = d['topics'].index(topic) if 'topic_id' not in list(topic.keys()): json_resp['topic_message'] = 'TOPIC FILE - ' + topics[ i].name + ' - you must provide a topic number in the '+str(ind)+' th topic.' break doc_top.append(str(topic['topic_id'])) if str(topic['topic_id']) in topics_ids: json_resp['topic_message'] = 'WARNING TOPIC FILE - ' + topics[ i].name + ' - the list of topics contains duplicates. They will be ignored.' else: topics_ids.append(str(topic['topic_id'])) if len(doc_top) > len(set(doc_top)): json_resp['topic_message'] = 'WARNING TOPIC FILE - ' + topics[ i].name + ' - the list of topics contains duplicates. They will be ignored.' elif topics[i].name.endswith('.txt'): arr_to_ret = elaborate_runs(runs) topics_ids = elaborate_TREC_topic_files([],topics[i],'check') topics_ids = [str(i) for i in topics_ids] if isinstance(topics_ids,list) == False: json_resp['topic_message'] = 'TOPIC FILE - ' + topics[i].name + ' - topics are not well formatted.' break if json_resp['topic_message'] == '': json_resp['topic_message'] = 'Ok' if len(runs) > 0: for i in range(len(runs)): if not runs[i].name.endswith('csv') and not runs[i].name.endswith('json') and not runs[i].name.endswith('txt'): json_resp['runs_message'] = 'RUNS FILE - ' + runs[i].name + ' - The file must be .csv or .json or .txt' break if runs[i].name.endswith('csv'): print(runs[i]) # if not labels[i].name.endswith('csv'): # json_resp['label_message'] = 'LABELS FILE - ' + labels[i].name + ' - The file must be .csv' try: df = pd.read_csv(runs[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) except Exception as e: print(e) json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - An error occurred while parsing the csv. Check if is well formatted.' pass else: cols = list(df.columns) list_db_col = ['topic_id', 'document_id','language'] esco = False for el in list_db_col: if el not in cols and el != 'language': esco = True json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - The column: ' + el + ' is not present and it is mandatory.' break if esco == True: break for el in cols: if el not in list_db_col: json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - The column ' + el + ' is not allowed.' break if df.shape[0] == 0: json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - You must provide at least a row.' break else: # check if columns annotation_label and name have no duplicates if 'language' in df: df_dup = df[df.duplicated(subset=['topic_id','document_id','language'], keep=False)] else: df_dup = df[df.duplicated(subset=['topic_id','document_id'], keep=False)] if df_dup.shape[0] > 0: json_resp['runs_message'] = 'WARNING RUNS FILE - ' + runs[ i].name + ' - The rows: ' + str( df_dup.index.to_list()) + ' are duplicated. The duplicates will be ignored.' el = '' # if None in df['usecase'].tolist(): # el = 'usecase' if None in df['topic_id'].tolist(): el = 'topic_id' if None in df['document_id'].tolist(): el = 'document_id' if 'language' in df: el = 'language' if el != '': lista = df[el].tolist() ind = lista.index(None) json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + ' .' break tops.extend(df.topic_id.unique()) for el in tops: if str(el) not in topics_ids: json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - The topic: ' + str(el) + ' is not in the provided list of topics.' break docs.extend(df.document_id.unique()) for el in docs: if str(el) not in documents_ids: json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - The document: ' + str(el) + ' is not in the provided list of documents.' break elif runs[i].name.endswith('.json'): # with open(runs[i], 'r') as f: d = json.load(runs[i]) if 'run' not in d.keys(): json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - json is not well formatted.' break if d['run'] == []: json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - you must provide at least a topic and one or more documents associated.' break for r in d['run']: ind = d['run'].index(r) if 'topic_id' not in r.keys(): json_resp['runs_message'] = 'RUNS FILE - ' + topics[ i].name + ' - you must provide a topic number in the ' + str(ind) + ' th element.' break if 'documents' not in r.keys(): json_resp['runs_message'] = 'RUNS FILE - ' + topics[ i].name + ' - you must provide a topic\'s list for the topic: ' + str(r['num']) + '.' break if isinstance(r['documents'][0],dict): doc1 = [el['document_id'] for el in r['documents']] else: doc1 = r['documents'] for el in r['documents']: if isinstance(el,dict): if 'document_id' not in el.keys() and 'language' not in el.keys(): json_resp['runs_message'] = 'RUNS FILE - ' + topics[ i].name + ' - you must provide a document_id and a language' break tops.append(r['topic_id']) docs.extend(doc1) for el in tops: if el not in topics_ids: json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - The topic: ' + str(el) + ' is not in the provided list of topics.' break for el in docs: if str(el) not in documents_ids: json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - The document: ' + str(el) + ' is not in the provided list of documents.' break elif runs[i].name.endswith('.txt'): # with open(runs[i], 'r') as f: lines = runs[i].readlines() tups = [] for line in lines: line = line.decode('utf-8') if len(line.split()) == 2 or len(line.split() == 3): topic = line.split()[0] tops.append(topic) doc = line.split()[1] docs.append(doc) tups.append((topic,doc)) elif len(line.split()) > 2: #TREC topic = line.split()[0] tops.append(topic) doc = line.split()[2] tups.append((topic, doc)) docs.append(doc) else: json_resp['run_message'] = 'RUNS FILE - ' + runs[i].name + ' - txt file is not well formatted.' break for el in tops: if str(el) not in topics_ids: json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - The topic: ' + str(el) + ' is not in the provided list of topics.' break for el in docs: if str(el) not in documents_ids: json_resp['runs_message'] = 'RUNS FILE - ' + runs[ i].name + ' - The document: ' + str(el) + ' is not in the provided list of documents.' break if json_resp['runs_message'] == '': json_resp['runs_message'] = 'Ok' if len(concepts) > 0: for i in range(len(concepts)): # Check if it is a csv if concepts[i].name.endswith('csv'): # json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[i].name + ' - The file must be .csv' try: df = pd.read_csv(concepts[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) except Exception as e: json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[i].name + ' - An error occurred while parsing the csv. Check if it is well formatted. ' pass # print(df) else: cols = list(df.columns) columns_wrong = False list_db_col = ['concept_url', 'concept_name'] # if 'usecase' in cols: # df['usecase'] = df['usecase'].str.lower() # Check if all the mandatory cols are present for el in list_db_col: if el not in cols: columns_wrong = True json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[i].name + ' - The column ' + el + ' is not present. The only columns allowed are: concept_utl, concept_name, usecase, area' break if columns_wrong == True: break # if load_concepts is not None: # for el in load_concepts: # if el in df.usecase.unique(): # json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[i].name + ' - You can not insert concepts files for the use case ' + el + ' after having decide to use EXAMODE concepts.' # break # header length must be the same, no extra columns if len(list_db_col) != len(cols): json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[i].name + ' - The columns allowed are: concept_url, concept_name. If you inserted more (less) columns please, remove (add) them.' break # Check if the df has no rows if df.shape[0] == 0: json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[i].name + ' - You must provide at least a concept.' break else: # check if column concept_url has no duplicates df_dup = df[df.duplicated(subset=['concept_url'], keep=False)] if df_dup.shape[0] > 0: json_resp['concept_message'] = 'WARNING CONCEPTS FILE - ' + concepts[i].name + ' - The rows: ' + str(df_dup.index.to_list()) + ' are duplicated. The duplicates will be ignored.' # Check if there are None in mandatory cols el = '' if None in df['concept_url'].tolist(): el = 'concept_url' elif None in df['concept_name'].tolist(): el = 'concept_name' if el != '': lista = df[el].tolist() ind = lista.index(None) json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[i].name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + ' .' break if concepts[i].name.endswith('json'): # json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[i].name + ' - The file must be .csv' d = json.load(concepts[i]) if 'concepts_list' not in d.keys(): json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[ i].name + ' - json is not well formatted' break if not isinstance(d['concepts_list'],list): json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[ i].name + ' - json is not well formatted' break if len(d['concepts_list']) == 0: json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[ i].name + ' - the list is empty' break dup_list = [] for element in d['concepts_list']: if 'concept_url' not in element.keys() and 'concept_name' not in element.keys(): json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[ i].name + ' - each element in the list of concepts must contains concept_url and concept_name' break for element in d['concepts_list']: if element['concept_url'] in dup_list: json_resp['concept_message'] = 'WARNING CONCEPTS FILE - ' + concepts[ i].name + ' - Some concepts are duplicated, these will be ignored' if json_resp['concept_message'] == '': json_resp['concept_message'] = 'Ok' if len(labels) > 0: for i in range(len(labels)): if labels[i].name.endswith('csv'): # if not labels[i].name.endswith('csv'): # json_resp['label_message'] = 'LABELS FILE - ' + labels[i].name + ' - The file must be .csv' try: df = pd.read_csv(labels[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) except Exception as e: json_resp['label_message'] = 'LABELS FILE - ' + labels[i].name + ' - An error occurred while parsing the csv. Check if is well formatted.' pass else: cols = list(df.columns) list_db_col = ['label'] # if 'usecase' in cols: # df['usecase'] = df['usecase'].str.lower() # esco = False for el in list_db_col: if el not in cols: esco = True json_resp['label_message'] = 'LABELS FILE - ' + labels[i].name + ' - The columns: ' + el + ' is not present. The columns allowed are: labels, usecase.' if esco == True: break if len(cols) != len(list_db_col): json_resp['label_message'] = 'LABELS FILE - ' + labels[i].name + ' - The columns allowed are: label, usecase. If you inserted more (less) columns please, remove (add) them.' break if df.shape[0] == 0: json_resp['label_message'] = 'LABELS FILE - ' + labels[i].name + ' - You must provide at least a row.' break else: # check if columns annotation_label and name have no duplicates df_dup = df[df.duplicated(subset=['label'], keep=False)] if df_dup.shape[0] > 0: json_resp['label_message'] = 'WARNING LABELS FILE - ' + labels[i].name + ' - The rows: ' + str(df_dup.index.to_list()) + ' are duplicated. The duplicates will be ignored.' el = '' # if None in df['usecase'].tolist(): # el = 'usecase' if None in df['label'].tolist(): el = 'label' if el != '': lista = df[el].tolist() ind = lista.index(None) json_resp['label_message'] = 'LABELS FILE - ' + labels[i].name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + ' .' break elif labels[i].name.endswith('.json'): # with open(labels[i],'r') as f: d = json.load(labels[i]) if 'labels' not in d.keys(): json_resp['label_message'] = 'LABELS FILE - ' + labels[i].name + ' - json is not well formatted.' break if d['labels'] == []: json_resp['label_message'] = 'LABELS FILE - ' + labels[ i].name + ' - you must provide at least a label.' break labels = d['labels'] if len(labels) > len(set(labels)): json_resp['label_message'] = 'WARNING LABELS FILE - ' + labels[ i].name + ' - the list of labels contains duplicates. They will be ignored.' elif labels[i].name.endswith('.txt'): # with open(labels[i], 'r') as f: lines = labels[i].readlines() labels_list = [] if len(lines) == 0: json_resp['label_message'] = 'LABELS FILE - ' + labels[i].name + ' - you must provide at least a label.' break for line in lines: line = line.decode('utf-8') if line not in labels_list: labels_list.append(line) else: json_resp['label_message'] = 'WARNING LABELS FILE - ' + labels[ i].name + ' - the list of labels contains duplicates. They will be ignored.' if json_resp['label_message'] == '': json_resp['label_message'] = 'Ok' if len(jsonAnn) == 0 and len(jsonDisp) == 0 and len(reports)>0: json_resp['fields_message'] = 'REPORT FIELDS TO DISPLAY AND ANNOTATE - Please provide at least one field to be displayed and/or at least one field to be annotated.' elif len(jsonAnn) == 0 and len(reports)>0: if json_resp['fields_message'] == '': json_resp['fields_message'] = 'WARNING REPORT FIELDS TO ANNOTATE - ok but with this configuration you will not be able to perform mention annotation and linking. Please, select also at least a field to annotate if you want to find some mentions and link them.' if len(reports) > 0: if json_resp['fields_message'] == '': json_resp['fields_message'] = 'Ok' except Exception as e: print(e) json_resp['general_message'] = 'An error occurred. Please check if it is similar to the example we provided.' return json_resp else: if json_resp['general_message'] == '': json_resp['general_message'] = 'Ok' return json_resp import time from datetime import date def configure_data(pubmedfiles,reports, labels, concepts, jsondisp, jsonann, jsonall, username, password, topics,runs,tfidf): """This method is run after having checked the files inserted by the user""" filename = '' language = 'english' error_location = 'database' report_usecases = [] created_file = False today = str(date.today()) try: with transaction.atomic(): cursor = connection.cursor() cursor.execute("DELETE FROM annotate;") cursor.execute("DELETE FROM linked;") cursor.execute("DELETE FROM associate;") cursor.execute("DELETE FROM contains;") cursor.execute("DELETE FROM mention;") cursor.execute("DELETE FROM belong_to;") cursor.execute("DELETE FROM annotation_label;") cursor.execute("DELETE FROM concept;") cursor.execute("DELETE FROM ground_truth_log_file;") cursor.execute("DELETE FROM topic_has_document;") cursor.execute("DELETE FROM report;") cursor.execute("DELETE FROM use_case;") cursor.execute("DELETE FROM semantic_area;") # connection.commit() cursor.execute("DELETE FROM public.user WHERE username = 'Test'") cursor.execute("INSERT INTO semantic_area VALUES (%s)",('default_area',)) if username is not None and password is not None: cursor.execute("INSERT INTO public.user (username,password,profile,ns_id) VALUES(%s,%s,%s,%s);", (str(username), hashlib.md5(str(password).encode()).hexdigest(), 'Admin', 'Human')) # cursor.execute("INSERT INTO public.user (username,password,profile,ns_id) VALUES(%s,%s,%s,%s);", # (str(username), hashlib.md5(str(password).encode()).hexdigest(), 'Admin', 'Robot')) fields = [] all_fields = [] fields_to_ann = [] jsonall = ''.join(jsonall) jsondisp = ''.join(jsondisp) jsonann = ''.join(jsonann) jsonall = jsonall.split(',') jsondisp = jsondisp.split(',') jsonann = jsonann.split(',') for el in jsonall: if len(el) > 0: all_fields.append(el) for el in jsondisp: if len(el) > 0: fields.append(el) if el not in all_fields: all_fields.append(el) for el in jsonann: if len(el) > 0: fields_to_ann.append(el) if el not in all_fields: all_fields.append(el) language = 'english' arr_to_ret = elaborate_runs(runs) error_location = 'Topic' for topic in topics: if topic.name.endswith('txt'): elaborate_TREC_topic_files(arr_to_ret,topic) elif topic.name.endswith('json'): process_topic_json_file(arr_to_ret,topic) elif topic.name.endswith('csv'): process_topic_csv_file(arr_to_ret,topic) error_location = 'Collection' for file in reports: reps = decompress_files([file]) for f in reps: if isinstance(f, str): file_name = f workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in f = os.path.join(workpath, 'static\\tmp\\' + f) else: file_name = f.name if file_name.endswith('json'): find_docs_in_json_collection(arr_to_ret,f) elif file_name.endswith('csv'): find_docs_in_csv_collection(arr_to_ret,f) for file in pubmedfiles: # if file.name.endswith('json'): find_docs_in_json_pubmed_collection(arr_to_ret,file) error_location = 'Runs' for el in arr_to_ret: if len(el) == 3: language = el[2] topic = UseCase.objects.get(name = el[0]) doc = Report.objects.get(id_report =str(el[1]),language = 'english') TopicHasDocument.objects.get_or_create(name = topic,language = doc.language,id_report =doc) if len(labels) > 0: labs = [] error_location = 'Labels' for label_file in labels: if label_file.name.endswith('csv'): df_labels = pd.read_csv(label_file) df_labels = df_labels.where(pd.notnull(df_labels), None) df_labels = df_labels.reset_index(drop=True) # df_labels['usecase'] = df_labels['usecase'].str.lower() count_lab_rows = df_labels.shape[0] for i in range(count_lab_rows): label = str(df_labels.loc[i, 'label']) labs.append(label.rstrip()) elif label_file.name.endswith('json'): d = json.load(label_file) labels = d['labels'] for label in labels: labs.append(label.rstrip()) elif label_file.name.endswith('txt'): lines = label_file.readlines() for line in lines: line = line.decode('utf-8') labs.append(line.replace('\n','')) for label in labs: cursor.execute('SELECT * FROM annotation_label') ans = cursor.fetchall() if len(ans) == 0: seq_number = 1 else: cursor.execute('SELECT seq_number FROM annotation_label ORDER BY seq_number DESC;') ans = cursor.fetchall() seq_number = int(ans[0][0]) + 1 cursor.execute("SELECT * FROM annotation_label WHERE label = %s;", (str(label),)) ans = cursor.fetchall() if len(ans) == 0: cursor.execute("INSERT INTO annotation_label (label,seq_number) VALUES (%s,%s);", (str(label), int(seq_number))) # Popolate the concepts table error_location = 'Concepts' # if load_concepts is not None and load_concepts != '' and load_concepts !=[] and len(concepts) == 0: # configure_concepts(cursor,load_concepts,'admin') for concept_file in concepts: if concept_file.name.endswith('csv'): df_concept = pd.read_csv(concept_file) df_concept = df_concept.where(pd.notnull(df_concept), None) df_concept = df_concept.reset_index(drop=True) # df_concept['usecase'] = df_concept['usecase'].str.lower() # print(df_concept) count_conc_rows = df_concept.shape[0] for i in range(count_conc_rows): df_concept = df_concept.where(pd.notnull(df_concept), None) concept_url = str(df_concept.loc[i, 'concept_url']) concept_name = str(df_concept.loc[i, 'concept_name']) # usecase = str(df_concept.loc[i, 'usecase']) # semantic_area = str(df_concept.loc[i, 'area']) cursor.execute("SELECT concept_url,json_concept FROM concept WHERE concept_url = %s;", (str(concept_url),)) ans = cursor.fetchall() if len(ans) == 0: # json_concept = json.dumps({'provenance': 'admin', 'insertion_author': 'admin'}) cursor.execute("INSERT INTO concept (concept_url,name) VALUES (%s,%s);", (str(concept_url), str(concept_name))) cursor.execute("SELECT * FROM belong_to WHERE concept_url = %s AND name=%s;", (str(concept_url), 'default_area')) ans = cursor.fetchall() if len(ans) == 0: cursor.execute("INSERT INTO belong_to (concept_url,name) VALUES (%s,%s);", (str(concept_url), 'default_area')) elif concept_file.name.endswith('json'): d = json.load(concept_file) count_conc_rows = len(d['concepts_list']) for i in range(count_conc_rows): concept_url = str(d['concepts_list'][i]['concept_url']) concept_name = str(d['concepts_list'][i]['concept_name']) # usecase = str(df_concept.loc[i, 'usecase']) # semantic_area = str(df_concept.loc[i, 'area']) cursor.execute("SELECT concept_url,json_concept FROM concept WHERE concept_url = %s;", (str(concept_url),)) ans = cursor.fetchall() if len(ans) == 0: # json_concept = json.dumps({'provenance': 'admin', 'insertion_author': 'admin'}) cursor.execute("INSERT INTO concept (concept_url,name) VALUES (%s,%s);", (str(concept_url), str(concept_name))) cursor.execute("SELECT * FROM belong_to WHERE concept_url = %s AND name=%s;", (str(concept_url), 'default_area')) ans = cursor.fetchall() if len(ans) == 0: cursor.execute("INSERT INTO belong_to (concept_url,name) VALUES (%s,%s);", (str(concept_url), 'default_area')) data = {} data['fields'] = fields data['fields_to_ann'] = fields_to_ann data['all_fields'] = all_fields version = get_version() workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in version_new = int(version) + 1 filename = 'fields' + str(version_new) created_file = False with open(os.path.join(workpath, './config_files/data/' + filename + '.json'), 'w') as outfile: json.dump(data, outfile) created_file = True except (Exception, psycopg2.Error) as e: print(e) print('rollback') # connection.rollback() if created_file == True: workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in if filename != '' and filename != 'fields0': path = os.path.join(workpath, './config_files/data/' + filename + '.json') os.remove(path) json_resp = {'error': 'an error occurred in: ' + error_location + '.'} return json_resp else: # connection.commit() if created_file == True: for filen in os.listdir(os.path.join(workpath, './config_files/data')): if filen.endswith('json'): if filen != '' and filen != 'fields0.json' and filen != filename+'.json': path = os.path.join(workpath, './config_files/data/' + filen ) os.remove(path) outfile.close() if tfidf is not None or (len(runs) > 0 and len(topics) > 0 and (len(reports) > 0) or len(pubmedfiles) > 0): print(str(tfidf)) cursor = connection.cursor() cursor.execute('SELECT DISTINCT language FROM report') ans = cursor.fetchall() languages = [] for el in ans: languages.append(el[0]) st = time.time() if int(tfidf) > 0: workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in path1 = os.path.join(workpath, './config_files/config.json') g = open(path1,'r') data = json.load(g) data['TF-IDF_k'] = tfidf with open(path1, 'w') as f: json.dump(data, f) t = UseCase.objects.all() cursor = connection.cursor() json_to_write = {} for top in t: print('topic:'+str(top)) json_to_write[top.name] = {} topic = {} corpus = [] cursor.execute( "SELECT r.id_report,r.language,r.report_json FROM report as r inner join topic_has_document as t on t.id_report = r.id_report and r.language = t.language where t.name = %s", [str(top.name)]) ans = cursor.fetchall() for el in ans: e = json.loads(el[2]) r_j1 = {} r_j1['document_id'] = str(el[0]) r_j1['text'] = '' for k in e.keys(): if k != 'document_id' or (str(el[0]).startswith('PUBMED_') and (k == 'abstract' or k == 'title')): r_j1['text'] = r_j1['text'] + ' ' + str(e[k]) if el[1].lower() in LANGUAGES_NLTK: corpus.append(r_j1) topic['title'] = top.title topic['description'] = top.description # df_tfidf = gen_tfidf_map(corpus,language) for el in ans: if el[1].lower() in LANGUAGES_NLTK: language = el[1].lower() start = time.time() print('working on ', str(el[0])) e = json.loads(el[2]) r_j1 = {} r_j1['document_id'] = str(el[0]) r_j1['text'] = '' for k in e.keys(): # print(k) # print(e[k]) if isinstance(e[k],list): e[k] = ', '.join(e[k]) if k != 'document_id' and k != 'language' and e[k] is not None: r_j1['text'] = r_j1['text'] + ' ' + e[k] tfidf_matcher = QueryDocMatcher(topic=topic,doc= r_j1, corpus=corpus,language=language) top_k_matching_words = tfidf_matcher.get_words_to_highlight() # print(top_k_matching_words) # json_val = {} # json_val[str(el[0])] = top_k_matching_words # json_val['words'] = top_k_matching_words json_to_write[top.name][str(el[0])] = top_k_matching_words # print(json_to_write) end = time.time() print('elaborated in '+str(end-start)+' seconds') else: json_to_write = {} end = time.time() print('time',end-st) path2 = os.path.join(workpath, './config_files/tf_idf_map.json') with open(path2, 'w') as f: json.dump(json_to_write, f) json_resp = {'message': 'Ok'} return json_resp #-------------------UPDATE---------------------------- def check_for_update(type_req, pubmedfiles, reports, labels, concepts, jsonDisp, jsonAnn, jsonDispUp, jsonAnnUp,topics,runs,tf_idf): """This method checks the files inserted by the user to update the db""" keys = get_fields_from_json() ann = keys['fields_to_ann'] disp = keys['fields'] tops = [] docs = [] if jsonDispUp is not None and jsonAnnUp is not None: jsonDispUp = ''.join(jsonDispUp) jsonAnnUp = ''.join(jsonAnnUp) jsonDispUp = jsonDispUp.split(',') jsonAnnUp = jsonAnnUp.split(',') try: cursor = connection.cursor() message = '' if tf_idf is not None: message = 'TF-IDF - the value must include only digits' return message if len(concepts) > 0: message = '' for i in range(len(concepts)): if not concepts[i].name.endswith('csv') and not concepts[i].name.endswith('json'): message = 'CONCEPTS FILE - ' + labels[i].name + ' - The file must be .csv, .json' return message if concepts[i].name.endswith('csv'): try: df = pd.read_csv(concepts[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) except Exception as e: message = 'CONCEPTS FILE - ' + concepts[ i].name + ' - An error occurred while parsing the csv. Check if it is well formatted.' return message else: list_db_col = ['concept_url', 'concept_name'] cols = list(df.columns) for el in list_db_col: if el not in cols: message = 'CONCEPTS FILE - ' + concepts[i].name + ' - The columns: ' + el + ' is missing. Please, add it.' return message if len(list_db_col) != len(cols): message = 'CONCEPTS FILE - ' + concepts[i].name + ' - The columns allowed are: concept_url, concept_name. If you inserted more (less) columns please, remove (add) them.' return message if df.shape[0] == 0: message = 'CONCEPTS FILE - ' + concepts[i].name + ' - You must provide at least a concept.' return message else: # duplicates in file df_dup = df[df.duplicated(subset=['concept_url'], keep=False)] if df_dup.shape[0] > 0: message = 'WARNING CONCEPTS FILE - ' + concepts[i].name + ' - The rows: ' + str( df_dup.index.to_list()) + ' are duplicated. The duplicates will be ignored.' el = '' if None in df['concept_url'].tolist(): el = 'concept_url' elif None in df['concept_name'].tolist(): el = 'concept_name' if el != '': lista = df[el].tolist() ind = lista.index(None) message = 'CONCEPTS FILE - ' + concepts[i].name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + '.' return message # Check for duplicates in db for ind in range(df.shape[0]): cursor.execute('SELECT COUNT(*) FROM concept WHERE concept_url = %s', [str(df.loc[ind, 'concept_url'])]) num = cursor.fetchone() cursor.execute('SELECT COUNT(*) FROM belong_to WHERE concept_url = %s and name = %s', [str(df.loc[ind, 'concept_url']),str(df.loc[ind, 'area'])]) num_b = cursor.fetchone() if num[0] > 0 and num_b[0] > 0: message = 'WARNING CONCEPTS FILE - ' + concepts[i].name + ' - The concept: ' + str( df.loc[ind, 'concept_url']) + ' is already present in the database. It will be ignored.' if concepts[i].name.endswith('json'): # json_resp['concept_message'] = 'CONCEPTS FILE - ' + concepts[i].name + ' - The file must be .csv' d = json.load(concepts[i]) if 'concepts_list' in d.keys(): message = 'CONCEPTS FILE - ' + concepts[ i].name + ' - json is not well formatted' return message if not isinstance(d['concepts_list'], list): message = 'CONCEPTS FILE - ' + concepts[ i].name + ' - json is not well formatted' return message if len(d['concepts_list']) == 0: message = 'CONCEPTS FILE - ' + concepts[ i].name + ' - the list is empty' return message dup_list = [] for element in d['concepts_list']: if 'concept_url' not in element.keys() and 'concept_name' not in element.keys(): message = 'CONCEPTS FILE - ' + concepts[ i].name + ' - each element in the list of concepts must contains concept_url and concept_name fields' return message for element in d['concepts_list']: if element['concept_url'] in dup_list: message = 'WARNING CONCEPTS FILE - ' + concepts[ i].name + ' - Some concepts are duplicated, these will be ignored' return message elif len(labels) > 0: message = '' for i in range(len(labels)): if not labels[i].name.endswith('csv') and not labels[i].name.endswith('json') and not labels[i].name.endswith('txt'): message = 'LABELS FILE - ' + labels[i].name + ' - The file must be .csv, .json, .txt' return message if labels[i].name.endswith('csv'): try: df = pd.read_csv(labels[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) except Exception as e: message = 'LABELS FILE - ' + labels[i].name + ' - An error occurred while parsing the csv. Check if is well formatted.' return message else: cols = list(df.columns) list_db_col = ['label'] # if 'usecase' in cols: # df['usecase'] = df['usecase'].str.lower() # esco = False for el in list_db_col: if el not in cols: esco = True message = 'LABELS FILE - ' + labels[i].name + ' - The columns: ' + el + ' is not present. The columns allowed are: labels, usecase.' return message if esco == True: break if len(cols) != len(list_db_col): message = 'LABELS FILE - ' + labels[i].name + ' - The columns allowed are: label, usecase. If you inserted more (less) columns please, remove (add) them.' return message if df.shape[0] == 0: message = 'LABELS FILE - ' + labels[i].name + ' - You must provide at least a row.' return message else: # check if columns annotation_label and name have no duplicates df_dup = df[df.duplicated(subset=['label'], keep=False)] if df_dup.shape[0] > 0: message = 'WARNING LABELS FILE - ' + labels[i].name + ' - The rows: ' + str(df_dup.index.to_list()) + ' are duplicated. The duplicates will be ignored.' return message el = '' # if None in df['usecase'].tolist(): # el = 'usecase' if None in df['label'].tolist(): el = 'label' if el != '': lista = df[el].tolist() ind = lista.index(None) message = 'LABELS FILE - ' + labels[i].name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + ' .' return message for ind in range(df.shape[0]): cursor.execute('SELECT COUNT(*) FROM annotation_label WHERE label = %s', [str(df.loc[ind, 'label'])]) num = cursor.fetchone() if num[0] > 0: message = 'WARNING LABELS FILE - ' + labels[i].name + ' - The label: ' + str(df.loc[ind, 'label']) + ' is already present in the database. It will be ignored.' elif labels[i].name.endswith('.json'): # with open(labels[i],'r') as f: d = json.load(labels[i]) if 'labels' not in d.keys(): message = 'LABELS FILE - ' + labels[i].name + ' - json is not well formatted.' return message if d['labels'] == []: message = 'LABELS FILE - ' + labels[ i].name + ' - you must provide at least a label.' return message l = d['labels'] if len(l) > len(set(l)): message = 'WARNING LABELS FILE - ' + labels[ i].name + ' - the list of labels contains duplicates. They will be ignored.' for ind in range(len(l)): cursor.execute('SELECT COUNT(*) FROM annotation_label WHERE label = %s', [str(l[ind])]) num = cursor.fetchone() if num[0] > 0: message = 'WARNING LABELS FILE - ' + labels[i].name + ' - The label: ' + str(l[ind]) + ' is already present in the database. It will be ignored.' elif labels[i].name.endswith('.txt'): # with open(labels[i], 'r') as f: lines = labels[i].readlines() labels_list = [] if len(lines) == 0: message = 'LABELS FILE - ' + labels[i].name + ' - you must provide at least a label.' return message for line in lines: line = line.decode('utf-8') if line not in labels_list: labels_list.append(line) else: message = 'WARNING LABELS FILE - ' + labels[ i].name + ' - the list of labels contains duplicates. They will be ignored.' for ind in range(len(labels_list)): cursor.execute('SELECT COUNT(*) FROM annotation_label WHERE label = %s', [str(labels_list[ind])]) num = cursor.fetchone() if num[0] > 0: message = 'WARNING LABELS FILE - ' + labels[i].name + ' - The label: ' + str(labels_list[ind]) + ' is already present in the database. It will be ignored.' return message elif (len(pubmedfiles) > 0 or len(reports) > 0) and len(topics) > 0 and len(runs) > 0: message = '' documents_ids = [] topics_ids = [] to = UseCase.objects.all().values('name') for el in to: topics_ids.append(el['name']) ids = Report.objects.all().values('id_report') for el in ids: documents_ids.append(str(el['id_report'])) for i in range(len(pubmedfiles)): # Error if the file is not csv if not pubmedfiles[i].name.endswith('csv') and not pubmedfiles[i].name.endswith('json') and not \ pubmedfiles[i].name.endswith( 'txt'): message = 'PUBMED FILE - ' + pubmedfiles[ i].name + ' - The file must be .csv or .json or .txt' return message if pubmedfiles[i].name.endswith('csv'): try: df = pd.read_csv(pubmedfiles[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) # Useful if the csv includes only commas except Exception as e: print(e) message = 'PUBMED FILE - ' + pubmedfiles[ i].name + ' - An error occurred while parsing the csv. Check if it is well formatted. Check if it contains as many columns as they are declared in the header.' return message else: # check if colunns are allowed and without duplicates cols = list(df.columns) list_db_col = ['document_id'] for el in list_db_col: if el not in cols and el == 'document_id': message = 'PUBMED FILE - ' + pubmedfiles[ i].name + ' - The column: ' + el + ' is missing, please add it.' return message for column in cols: null_val = df[df[column].isnull()].index.tolist() if len(null_val) > 0: message = 'PUBMED FILE - ' + pubmedfiles[ i].name + ' - You did not inserted the ' + column + ' for rows: ' + null_val.split( ', ') # Check if the csv is empty with 0 rows if df.shape[0] == 0: message = 'PUBMED FILE - ' + pubmedfiles[ i].name + ' - You must provide at least a report.' return message else: # check if columns id_report and language have no duplicates # if 'language' in df: # df_dup = df[df.duplicated(subset=['document_id', 'language'], keep=False)] # else: df_dup = df[df.duplicated(subset=['document_id'], keep=False)] if df_dup.shape[0] > 0: message = 'WARNING PUBMED FILE - ' + pubmedfiles[ i].name + ' - The rows: ' + str( df_dup.index.to_list()) + ' are duplicated. The duplicates are ignored.' for ind in range(df.shape[0]): found = False id_report = 'PUBMED_' + str(df.loc[ind, 'document_id']) cursor.execute('SELECT COUNT(*) FROM report WHERE id_report = %s AND institute = %s', [str(id_report), 'PUBMED']) num = cursor.fetchone() if num[0] > 0: message = 'WARNING PUBMED FILE - ' + pubmedfiles[i].name + ' - The report: ' + str( id_report) + ' is already present in the database. It will be ignored.' for el in list_db_col: if df.loc[ind, el] is not None: found = True break if found == False: message = 'PUBMED FILE - ' + pubmedfiles[i].name + ' - The report at row ' + str( ind) + ' has the columns: ' + ', '.join( list_db_col) + ' empty. Provide a value for at least one of these columns.' return message el = '' if None in df['document_id'].tolist(): el = 'institute' if el != '': lista = df[el].tolist() ind = lista.index(None) message = 'PUBMED FILE - ' + pubmedfiles[ i].name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + '.' return message elif pubmedfiles[i].name.endswith('json'): d = json.load(runs[i]) if 'pubmed_ids' not in d.keys(): message = 'PUBMED FILE - ' + runs[ i].name + ' - json is not well formatted.' return message if d['pubmed_ids'] == []: message = 'PUBMED FILE - ' + runs[ i].name + ' - you must provide at least an article id.' break if not isinstance(d['pubmed_ids'], list): message = 'PUBMED FILE - ' + runs[ i].name + ' - you must provide at least an article id.' return message if len(d['pubmed_ids']) != len(list(set(d['pubmed_ids']))): message = 'WARNING PUBMED FILE - ' + runs[ i].name + ' - some ids seem to be duplicated. They will be ignored.' return message for el in d['pubmed_ids']: id_report = 'PUBMED_' + str(str(el)) cursor.execute('SELECT COUNT(*) FROM report WHERE id_report = %s AND institute = %s', [str(id_report), 'PUBMED']) num = cursor.fetchone() if num[0] > 0: message = 'WARNING PUBMED FILE - ' + pubmedfiles[i].name + ' - The report: ' + str( id_report) + ' is already present in the database. It will be ignored.' elif pubmedfiles[i].name.endswith('txt'): lines = pubmedfiles[i].readlines() if len(lines) == 0: message = 'PUBMED FILE - ' + runs[ i].name + ' - the file is empty.' return message if len(lines) != len(list(set(lines))): message = 'WARNING PUBMED FILE - ' + runs[ i].name + ' - the file contain some duplicates: they will be ignored.' for line in lines: id_report = 'PUBMED_' + str(line.split()[0]) cursor.execute('SELECT COUNT(*) FROM report WHERE id_report = %s AND institute = %s', [str(id_report), 'PUBMED']) num = cursor.fetchone() if num[0] > 0: message = 'WARNING PUBMED FILE - ' + pubmedfiles[i].name + ' - The report: ' + str( id_report) + ' is already present in the database. It will be ignored.' # elif len(reports) > 0 and len(runs) > 0 and len(topics) > 0: # message = '' for i in range(len(reports)): reps = decompress_files([reports[i]]) for rep in reps: if isinstance(rep, str): rep_name = rep workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in rep = os.path.join(workpath, 'static/tmp/' + rep_name) else: rep_name = rep.name if not rep.name.endswith('csv') and not rep_name.endswith('txt') and not rep.name.endswith('json'): message = 'DOCUMENTS FILE - ' + rep_name + ' - The file must be .csv, .json, .txt' return message if rep_name.endswith('csv'): try: df = pd.read_csv(rep) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) except Exception as e: message = 'DOCUMENTS FILE - ' + rep_name + ' - An error occurred while parsing the csv. Check if it is well formatted. ' return message else: cols = list(df.columns) count = 0 list_db_col = ['document_id','language'] list_not_db_col = [] for el in list_db_col: if el not in cols and el == 'document_id': message = 'DOCUMENTS FILE - ' + rep_name + ' - The column: ' + str(el) + ' must be present.' return message for id in list(df.document_id.unique()): # if str(id) in documents_ids: # json_resp['report_message'] = 'WARNING DOCUMENTS FILE - ' + rep_name + ' - The id: ' + str(id) + ' is duplicated. The duplicates are ignored.' # else: documents_ids.append(str(id)) for el in cols: if el not in list_db_col: list_not_db_col.append(el) if jsonDispUp is not None and jsonAnnUp is not None: if len(disp) > 0 or len(ann) > 0: ann_intersect = list(set(ann) & set(list_not_db_col)) for el in list_not_db_col: if (el not in disp and el not in ann) and (el not in jsonDispUp and el not in jsonAnnUp): count = count + 1 if count == len(list_not_db_col): message = 'DOCUMENTS FIELDS - Please, provide at least one field to display in file: ' + \ rep_name + '. Be careful that if you do not provide one field to annotate you will not be able to perform mention annotation and linking.' return message elif len(ann_intersect) == 0 and (jsonAnnUp[0]) == '': message = 'WARNING DOCUMENTS FIELDS - file: ' + rep_name + ' Please, provide at least one field to annotate if you want to find mentions and perform linking.' if len(list_not_db_col) == 0: message = 'DOCUMENTS FILE - ' + rep_name + ' - You must provide at least one column other than document_id' return message if df.shape[0] == 0: message = 'DOCUMENTS FILE - ' + rep_name + ' - You must provide at least a report.' return message else: df_dup = df[df.duplicated(subset=['document_id'], keep=False)] if 'language' in df: df_dup = df[df.duplicated(subset=['document_id','language'], keep=False)] if df_dup.shape[0] > 0: message = 'WARNING DOCUMENTS FILE - ' + rep_name + ' - The rows: ' + str( df_dup.index.to_list()) + ' are duplicated. The duplicates are ignored.' for id in list(df.document_id.unique()): if str(id) in documents_ids: message = 'WARNING DOCUMENTS FILE - ' + rep_name + ' - The id: ' + str( id) + ' is duplicated. The duplicates are ignored.' else: documents_ids.append(str(id)) for ind in range(df.shape[0]): found = False if 'language' in df: language = str(df.loc[ind, 'language']) else: language = 'english' cursor.execute('SELECT COUNT(*) FROM report WHERE id_report = %s AND language = %s', [str(df.loc[ind, 'document_id']),language]) num = cursor.fetchone() if num[0] > 0: message = 'WARNING DOCUMENTS FILE - ' + rep_name + ' - The report: ' + str( df.loc[ind, 'document_id']) + ' is already present in the database. It will be ignored.' for el in list_db_col: if df.loc[ind, el] is not None: found = True break if found == False: message = 'DOCUMENTS FILE - ' + rep_name + ' - The report at row ' + str( ind) + ' has the column: ' + ', '.join( list_db_col) + ' empty. ' return message found = False count_both = 0 not_none_cols = [] for el in list_not_db_col: if df.loc[ind, el] is not None: found = True not_none_cols.append(el) if found == False: message = 'DOCUMENTS FILE - ' + rep_name + ' - The report at row ' + str( ind) + ' has the columns: ' + ', '.join( list_not_db_col) + ' empty. Provide a value for at least one of these columns, or delete this report from the csv file.' return message for el in not_none_cols: if jsonAnnUp is not None and jsonDispUp is not None: if el not in disp and el not in jsonDispUp and el not in ann and el not in jsonAnnUp: count_both = count_both + 1 else: if el not in disp and el not in ann: count_both = count_both + 1 if count_both == len(not_none_cols): message = 'WARNING DOCUMENTS FIELDS TO DISPLAY AND ANNOTATE - ' + rep_name + ' - With the current configuration the report at the row: ' + str( ind) + ' would not be displayed since the columns to display are all empty for that report.' # for el in df.institute.unique(): # if el.lower() == 'pubmed': # message = 'REPORTS FILE - ' + reports[ # i].name + ' - calling an institute "PUBMED" is forbidden, please, change the name' # for el in df.document_id: if el.lower().startswith('pubmed_'): message = 'DOCUMENTS FILE - ' + rep_name + ' - reports\' ids can not start with "PUBMED_", please, change the name' el = '' if None in df['document_id'].tolist(): el = 'document_id' if 'language' in df: el = 'language' if el != '': lista = df[el].tolist() ind = lista.index(None) message = 'DOCUMENTS FILE - ' + rep_name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + '.' return message elif rep_name.endswith('json'): # with open(rep, 'r') as f: d = json.load(rep) if 'collection' not in d.keys(): message = 'DOCUMENTS FILE - ' + rep_name + ' - The json is not well formatted.' break exit = False keys_list = [] if len(d['collection']) == 0: message = 'DOCUMENTS FILE - ' + rep_name + ' - You must provide at least a report.' break for document in d['collection']: if 'language' in document.keys(): language = document['language'] else: language = 'english' cursor.execute('SELECT COUNT(*) FROM report WHERE id_report = %s AND language = %s', [document['document_id'], language]) num = cursor.fetchone() if num[0] > 0: message = 'WARNING REPORT FILE - ' +rep_name + ' - The report: ' + str( document['document_id']) + ' is already present in the database. It will be ignored.' ind = d['collection'].index(document) if 'document_id' not in document.keys() or document['document_id'] is None: message = 'DOCUMENTS FILE - ' + rep_name + ' - The ' + str(ind) + ' document does not contain the "document_id" key which is mandatory.' exit = True break doc_keys = list(document.keys()) if 'language' in list(document.keys()): doc_keys.remove('language') doc_keys.remove('document_id') is_none = True for key in list(document.keys()): if key != 'document_id' and key != 'language': if document[key] is not None: is_none = False break if ('document_id' in list(document.keys()) and len(list(document.keys())) == 1) or ('language' in list(document.keys()) and len(list(document.keys())) == 2) or is_none: message = 'DOCUMENTS FILE - ' + rep_name + ' - The ' + str(ind) + ' document does not contain the document\' s text.' keys_list.extend(list(document.keys())) if str(document['document_id']) in documents_ids: message = 'WARNING DOCUMENTS FILE - ' + rep_name + ' - The id ' + str(document['document_id']) + ' is duplicated.' else: documents_ids.append(str(document['document_id'])) count_both = 0 for el in doc_keys: if jsonAnnUp is not None and jsonDispUp is not None: if el not in disp and el not in jsonDispUp and el not in ann and el not in jsonAnnUp: count_both = count_both + 1 else: if el not in disp and el not in ann: count_both = count_both + 1 if count_both == len(doc_keys): message = 'WARNING DOCUMENTS FIELDS TO DISPLAY AND ANNOTATE - ' + reports[ i].name + ' - With the current configuration the report at the row: ' + str( ind) + ' would not be displayed since the columns to display are all empty for that report.' if exit == True: break if len(topics) > 0: for i in range(len(topics)): if not topics[i].name.endswith('csv') and not topics[i].name.endswith('json') and not topics[ i].name.endswith('txt'): message = 'TOPIC FILE - ' + topics[i].name + ' - The file must be .csv or .json or .txt' return message if topics[i].name.endswith('csv'): try: df = pd.read_csv(labels[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) except Exception as e: message = 'TOPIC FILE - ' + topics[ i].name + ' - An error occurred while parsing the csv. Check if is well formatted.' pass else: cols = list(df.columns) list_db_col = ['topic_id', 'title', 'description', 'narrative'] for el in list_db_col: if el not in cols and el == 'topic_id': message = 'TOPIC FILE - ' + topics[ i].name + ' - The column: ' + el + ' is not present and it is mandatory.' return message elif el not in cols: message = 'WARNING TOPIC FILE - ' + topics[ i].name + ' - The column: ' + el + ' is not present.' for el in cols: if el not in list_db_col: message = 'TOPIC FILE - ' + topics[ i].name + ' - The column ' + el + ' is not allowed.' return message for id in list(df.topic_id.unique()): if id in topics_ids: message = 'WARNING TOPIC FILE - ' + topics[i].name + ' - The topic: ' + str(id) + ' is duplicated. The duplicates are ignored.' else: topics_ids.append(id) if df.shape[0] == 0: message = 'TOPIC FILE - ' + topics[ i].name + ' - You must provide at least a row.' return message else: # check if columns annotation_label and name have no duplicates df_dup = df[df.duplicated(subset=['topic_id'], keep=False)] if df_dup.shape[0] > 0: message = 'WARNING TOPIC FILE - ' + topics[ i].name + ' - The rows: ' + str( df_dup.index.to_list()) + ' are duplicated. The duplicates will be ignored.' el = '' if None in df['topic_id'].tolist(): el = 'topic_id' if el != '': lista = df[el].tolist() ind = lista.index(None) message = 'TOPIC FILE - ' + topics[ i].name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + ' .' return message elif topics[i].name.endswith('.txt'): arr_to_ret = elaborate_runs(runs) topics_ids = elaborate_TREC_topic_files([], topics[i], 'check') topics_ids = [str(i) for i in topics_ids] if isinstance(topics_ids, list) == False: message = 'TOPIC FILE - ' + topics[ i].name + ' - topics are not well formatted.' elif topics[i].name.endswith('.json'): # with open(topics[i], 'r') as f: d = json.load(topics[i]) doc_top = [] if 'topics' not in d.keys(): message = 'TOPIC FILE - ' + topics[ i].name + ' - json is not well formatted.' return message if d['topics'] == []: message = 'TOPIC FILE - ' + labels[ i].name + ' - you must provide at least a label.' return message for topic in d['topics']: ind = d['topics'].index(topic) if 'topic_id' not in topic.keys(): message = 'TOPIC FILE - ' + topics[ i].name + ' - you must provide a topic number in the ' + str(ind) + ' th topic.' return message doc_top.append(topic['topic_id']) if str(topic['topic_id']) in topics_ids: message = 'WARNING TOPIC FILE - ' + topics[ i].name + ' - the list of topics contains duplicates. They will be ignored.' else: topics_ids.append(str(topic['topic_id'])) if len(doc_top) > len(set(doc_top)): message = 'WARNING TOPIC FILE - ' + topics[ i].name + ' - the list of topics contains duplicates. They will be ignored.' if len(runs) > 0: language = 'english' for i in range(len(runs)): if not runs[i].name.endswith('csv') and not runs[i].name.endswith('json') and not runs[i].name.endswith('txt'): message = 'RUNS FILE - ' + runs[i].name + ' - The file must be .csv or .json or .txt' break if runs[i].name.endswith('csv'): try: df = pd.read_csv(runs[i]) df = df.where(pd.notnull(df), None) df = df.reset_index(drop=True) except Exception as e: message = 'RUNS FILE - ' + runs[ i].name + ' - An error occurred while parsing the csv. Check if is well formatted.' return message else: cols = list(df.columns) list_db_col = ['topic_id', 'document_id', 'language'] for el in list_db_col: if el not in cols and el != 'language': message = 'RUNS FILE - ' + runs[ i].name + ' - The column: ' + el + ' is not present and it is mandatory.' return message for el in cols: if el not in list_db_col: message = 'RUNS FILE - ' + runs[ i].name + ' - The column ' + el + ' is not allowed.' return message if df.shape[0] == 0: message = 'RUNS FILE - ' + runs[ i].name + ' - You must provide at least a row.' return message else: # check if columns annotation_label and name have no duplicates df_dup = df[df.duplicated(subset=['topic_id', 'document_id'], keep=False)] if 'language' in df: df_dup = df[df.duplicated(subset=['topic_id', 'document_id','language'], keep=False)] if df_dup.shape[0] > 0: message = 'WARNING RUNS FILE - ' + runs[ i].name + ' - The rows: ' + str( df_dup.index.to_list()) + ' are duplicated. The duplicates will be ignored.' for i in range(df.shape[0]): doc = str(df.loc[i,'document_id']) top = str(df.loc[i,'topic_id']) if 'language' in df: language = str(df.loc[i,'language']) report = Report.objects.get(id_report = str(doc),language = language) topic = UseCase.objects.get(name = str(top)) v = TopicHasDocument.objects.filter(name = topic,id_report = report,language =language) if v.count() > 0: message = 'WARNING RUNS FILE - ' + runs[i].name + ' - The topic: ' + str(topic) +' is already associated to the document: ' + str(doc)+ ' it will be ignored.' el = '' # if None in df['usecase'].tolist(): # el = 'usecase' if None in df['topic_id'].tolist(): el = 'topic_id' if None in df['document_id'].tolist(): el = 'document_id' if 'language' in df: if None in df['language'].tolist(): el = 'language' if el != '': lista = df[el].tolist() ind = lista.index(None) message = 'RUNS FILE - ' + topics[ i].name + ' - The column ' + el + ' is empty at the row: ' + str(ind) + ' .' return message tops.extend(df.topic_id.unique()) for el in df.topic_id.unique(): if el not in topics_ids: message = 'RUNS FILE - ' + runs[ i].name + ' - The topic: ' + str(el) + ' is not in the provided list of topics.' return message docs.extend(list(df.document_id.unique())) for el in (df.document_id.unique()): if str(el) not in documents_ids: message = 'RUNS FILE - ' + runs[ i].name + ' - The document: ' + str( el) + ' is not in the provided list of documents.' return message elif runs[i].name.endswith('.json'): # with open(runs[i], 'r') as f: d = json.load(runs[i]) if 'run' not in d.keys(): message = 'RUNS FILE - ' + runs[ i].name + ' - json is not well formatted.' return message if d['run'] == []: message = 'RUNS FILE - ' + runs[ i].name + ' - you must provide at least a topic and one or more documents associated.' return message for r in d['run']: ind = d['run'].index(r) tops.append(r['topic_id']) docs.extend(r['documents']) if 'topic_id' not in r.keys(): message = 'RUNS FILE - ' + topics[ i].name + ' - you must provide a topic number in the ' + str( ind) + ' th element.' return message if 'documents' not in r.keys(): message = 'RUNS FILE - ' + topics[ i].name + ' - you must provide a topic\'s list for the topic: ' + str( r['topic_id']) + '.' return message for el in r['documents']: if isinstance(el,str) or isinstance(el,int): if Report.objects.filter(id_report=str(el)).exists(): report = Report.objects.get(id_report=str(el), language='english') topic = UseCase.objects.get(name=str(r['topic_id'])) v = TopicHasDocument.objects.filter(name=topic, id_report=report, language='english') if v.count() > 0: message = 'WARNING RUNS FILE - ' + runs[i].name + ' - The topic: ' + str( topic) + ' is already associated to the document: ' + str( el) + ' it will be ignored.' elif isinstance(el,dict): if Report.objects.filter(id_report=str(el['document_id'])).exists(): report = Report.objects.get(id_report=str(el['document_id']), language=el['language']) topic = UseCase.objects.get(name=str(r['topic_id'])) v = TopicHasDocument.objects.filter(name=topic, id_report=report, language=el['language']) if v.count() > 0: message = 'WARNING RUNS FILE - ' + runs[i].name + ' - The topic: ' + str( topic) + ' is already associated to the document: ' + str( el['document_id']) + ' it will be ignored.' for el in tops: if str(el) not in topics_ids: message = 'RUNS FILE - ' + runs[i].name + ' - The topic: ' + str(el) + ' is not in the provided list of topics.' return message for el in docs: if isinstance(el,dict): el = el['document_id'] if str(el) not in documents_ids: message = 'RUNS FILE - ' + runs[ i].name + ' - The document: ' + str( el) + ' is not in the provided list of documents.' return message elif runs[i].name.endswith('.txt'): # with open(runs[i], 'r') as f: lines = runs[i].readlines() tups = [] for line in lines: if len(line.split()) == 2: topic = line.split()[0] tops.append(topic) doc = line.split()[1] docs.append(doc) tups.append((topic, doc)) report = Report.objects.get(id_report=str(doc), language='english') topic = UseCase.objects.get(name=str(topic)) v = TopicHasDocument.objects.filter(name=topic, id_report=report, language='english') if v.count() > 0: message = 'WARNING RUNS FILE - ' + runs[i].name + ' - The topic: ' + str( topic) + ' is already associated to the document: ' + str( doc) + ' it will be ignored.' elif len(line.split()) > 2: # TREC topic = line.split()[0] tops.append(topic) doc = line.split()[2] tups.append((topic, doc)) docs.append(doc) report = Report.objects.get(id_report=str(doc), language='english') topic = UseCase.objects.get(name=str(topic)) v = TopicHasDocument.objects.filter(name=topic, id_report=report, language='english') if v.count() > 0: message = 'WARNING RUNS FILE - ' + runs[i].name + ' - The topic: ' + str( topic) + ' is already associated to the document: ' + str( doc) + ' it will be ignored.' else: message = 'RUNS FILE - ' + runs[ i].name + ' - txt file is not well formatted.' return message for el in tops: if el not in topics_ids: message = 'RUNS FILE - ' + runs[ i].name + ' - The topic: ' + str(el) + ' is not in the provided list of topics.' return message for el in docs: if str(el) not in documents_ids: message = 'RUNS FILE - ' + runs[ i].name + ' - The document: ' + str( el) + ' is not in the provided list of documents.' return message if jsonAnn is not None and jsonDisp is not None: if type_req == 'json_fields' and len(jsonAnn) == 0 and len(jsonDisp) == 0 and len(ann) == 0: message = 'REPORT FIELDS TO ANNOTATE - You must provide at least one field to display and/or one field to display and annotate.' return message elif type_req == 'json_fields' and len(jsonAnn) == 0: message = 'WARNING REPORT FIELDS TO ANNOTATE - ok, but with this configuration you will not be able to perform mention annotation and linking. Please, select also at least a field to annotate if you want to find some mentions and to link them' return message if type_req == 'labels' and len(labels) == 0: message = 'LABELS - Please insert a labels file.' return message if type_req == 'concepts' and len(concepts) == 0: message = 'CONCEPTS - Please insert a concepts file.' return message if type_req == 'reports' and len(reports) == 0: message = 'REPORTS - Please insert a reports file.' return message if type_req == 'pubmed' and len(pubmedfiles) == 0: message = 'PUBMED - Please insert a reports file.' return message return message except (Exception, psycopg2.Error) as e: print(e) message = 'An error occurred in ' + type_req + ' file(s). Please check if it is similar to the example we provided.' return message def update_db_util(reports,pubmedfiles,labels,concepts,jsondisp,jsonann,jsondispup,jsonannup,jsonall,topics,runs,batch,tf_idf): """This method is run after having checked the files inserted for the update. It updates the db.""" filename = '' today = str(date.today()) error_location = 'database' usecases = [] sem_areas = [] created_file = False cursor = connection.cursor() try: with transaction.atomic(): all_fields = [] fields = [] fields_to_ann = [] version = get_version() if int(version) != 0: json_resp = get_fields_from_json() all_fields = json_resp['all_fields'] fields = json_resp['fields'] fields_to_ann = json_resp['fields_to_ann'] if jsonannup != '' or jsondispup != '' or jsonall != '': data = {} all_fields = [] fields = [] fields_to_ann = [] version = get_version() if int(version) != 0: json_resp = get_fields_from_json() all_fields = json_resp['all_fields'] fields = json_resp['fields'] fields_to_ann = json_resp['fields_to_ann'] jsondispup = ''.join(jsondispup) jsonannup = ''.join(jsonannup) jsonall = ''.join(jsonall) jsondispup = jsondispup.split(',') jsonannup = jsonannup.split(',') jsonall = jsonall.split(',') for el in jsondispup: if len(el) > 0: if el not in all_fields: all_fields.append(el) if el not in fields: fields.append(el) for el in jsonannup: if len(el) > 0: if el not in fields_to_ann: fields_to_ann.append(el) if el not in all_fields: all_fields.append(el) for el in jsonall: if el not in all_fields and el: all_fields.append(el) data['fields'] = fields data['fields_to_ann'] = fields_to_ann data['all_fields'] = all_fields version = get_version() version_new = int(version) + 1 filename = 'fields' + str(version_new) workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in with open(os.path.join(workpath, '.config_files/data/' + filename + '.json'), 'w') as outfile: json.dump(data, outfile) created_file = True if (len(reports) > 0 or len(pubmedfiles) > 0) or len(runs) > 0 or len(topics) > 0: language = 'english' arr_to_ret = elaborate_runs(runs) error_location = 'Topic' for topic in topics: if topic.name.endswith('txt'): elaborate_TREC_topic_files(arr_to_ret, topic) elif topic.name.endswith('json'): process_topic_json_file(arr_to_ret, topic) elif topic.name.endswith('csv'): process_topic_csv_file(arr_to_ret, topic) error_location = 'Collection' for file in reports: reps = decompress_files([file]) for f in reps: if isinstance(f, str): file_name = f workpath = os.path.dirname( os.path.abspath(__file__)) # Returns the Path your .py file is in f = os.path.join(workpath, 'static\\tmp\\' + f) else: file_name = f.name if file_name.endswith('json'): find_docs_in_json_collection(arr_to_ret, f) elif file_name.endswith('csv'): find_docs_in_csv_collection(arr_to_ret, f) for file in pubmedfiles: find_docs_in_json_pubmed_collection(arr_to_ret, file) error_location = 'Runs' for el in arr_to_ret: if len(el) == 3: language = el[2] topic = UseCase.objects.get(name=el[0]) doc = Report.objects.get(id_report=el[1], language=language) TopicHasDocument.objects.get_or_create(name=topic, language=doc.language, id_report=doc) # Popolate the labels table if len(labels) > 0: labs = [] error_location = 'Labels' for label_file in labels: if label_file.name.endswith('csv'): df_labels = pd.read_csv(label_file) df_labels = df_labels.where(pd.notnull(df_labels), None) df_labels = df_labels.reset_index(drop=True) # df_labels['usecase'] = df_labels['usecase'].str.lower() count_lab_rows = df_labels.shape[0] for i in range(count_lab_rows): label = str(df_labels.loc[i, 'label']) labs.append(label.rstrip()) elif label_file.name.endswith('json'): d = json.load(label_file) labels = d['labels'] for label in labels: labs.append(label.rstrip()) elif label_file.name.endswith('txt'): lines = label_file.readlines() for line in lines: line = line.decode('utf-8') labs.append(line.replace('\n', '')) for label in labs: cursor.execute('SELECT * FROM annotation_label') ans = cursor.fetchall() if len(ans) == 0: seq_number = 1 else: cursor.execute('SELECT seq_number FROM annotation_label ORDER BY seq_number DESC;') ans = cursor.fetchall() seq_number = int(ans[0][0]) + 1 cursor.execute("SELECT * FROM annotation_label WHERE label = %s;", (str(label),)) ans = cursor.fetchall() if len(ans) == 0: cursor.execute("INSERT INTO annotation_label (label,seq_number) VALUES (%s,%s);", (str(label), int(seq_number))) # Popolate the concepts table if len(concepts) > 0: error_location = 'Concepts' for concept_file in concepts: if concept_file.name.endswith('csv'): df_concept = pd.read_csv(concept_file) df_concept = df_concept.where(pd.notnull(df_concept), None) df_concept = df_concept.reset_index(drop=True) # df_concept['usecase'] = df_concept['usecase'].str.lower() # print(df_concept) count_conc_rows = df_concept.shape[0] for i in range(count_conc_rows): df_concept = df_concept.where(pd.notnull(df_concept), None) concept_url = str(df_concept.loc[i, 'concept_url']) concept_name = str(df_concept.loc[i, 'concept_name']) # usecase = str(df_concept.loc[i, 'usecase']) # semantic_area = str(df_concept.loc[i, 'area']) cursor.execute("SELECT concept_url,json_concept FROM concept WHERE concept_url = %s;", (str(concept_url),)) ans = cursor.fetchall() if len(ans) == 0: # json_concept = json.dumps({'provenance': 'admin', 'insertion_author': 'admin'}) cursor.execute("INSERT INTO concept (concept_url,name) VALUES (%s,%s);", (str(concept_url), str(concept_name))) cursor.execute("SELECT * FROM belong_to WHERE concept_url = %s AND name=%s;", (str(concept_url), 'default_area')) ans = cursor.fetchall() if len(ans) == 0: cursor.execute("INSERT INTO belong_to (concept_url,name) VALUES (%s,%s);", (str(concept_url), 'default_area')) elif concept_file.name.endswith('json'): d = json.load(concept_file) count_conc_rows = len(d['concepts_list']) for i in range(count_conc_rows): concept_url = str(d['concepts_list'][i]['concept_url']) concept_name = str(d['concepts_list'][i]['concept_name']) # usecase = str(df_concept.loc[i, 'usecase']) # semantic_area = str(df_concept.loc[i, 'area']) cursor.execute("SELECT concept_url,json_concept FROM concept WHERE concept_url = %s;", (str(concept_url),)) ans = cursor.fetchall() if len(ans) == 0: # json_concept = json.dumps({'provenance': 'admin', 'insertion_author': 'admin'}) cursor.execute("INSERT INTO concept (concept_url,name) VALUES (%s,%s);", (str(concept_url), str(concept_name))) cursor.execute("SELECT * FROM belong_to WHERE concept_url = %s AND name=%s;", (str(concept_url), 'default_area')) ans = cursor.fetchall() if len(ans) == 0: cursor.execute("INSERT INTO belong_to (concept_url,name) VALUES (%s,%s);", (str(concept_url), 'default_area')) if ((jsonann is not None) and (jsonann != '')) or ((jsondisp is not None) and jsondisp != ''): data = {} jsondisp = ''.join(jsondisp) jsonann = ''.join(jsonann) jsondisp = jsondisp.split(',') jsonann = jsonann.split(',') for el in jsondisp: if len(el) > 0: if el not in fields: fields.append(el) if el not in all_fields: all_fields.append(el) for el in jsonann: if len(el) > 0: if el not in fields_to_ann: fields_to_ann.append(el) if el not in all_fields: all_fields.append(el) data['fields'] = fields data['all_fields'] = all_fields data['fields_to_ann'] = fields_to_ann version = get_version() workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in version_new = int(version) + 1 filename = 'fields' + str(version_new) with open(os.path.join(workpath, '.config_files/data/' + filename + '.json'), 'w') as outfile: json.dump(data, outfile) created_file = True except (Exception,psycopg2.IntegrityError) as e: print(e) # connection.rollback() print('rolledback') if created_file == True: workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in if filename != '' and filename != 'fields0': path = os.path.join(workpath, '.config_files/data/'+filename+'.json') os.remove(path) json_resp = {'error': 'an error occurred in: ' + error_location + '. The configuration failed.'} return json_resp else: # connection.commit() if created_file == True: for filen in os.listdir(os.path.join(workpath, 'config_files/data')): if filen.endswith('json'): print(filen) if filen != '' and filen != 'fields0.json' and filen != filename + '.json': path = os.path.join(workpath, '.config_files/data/' + filen) os.remove(path) if ((jsonann is not None) and (jsonann != '')) or ((jsondisp is not None) and jsondisp != ''): outfile.close() if tf_idf is not None : print(str(tf_idf)) data = {} cursor = connection.cursor() cursor.execute('SELECT DISTINCT language FROM report') ans = cursor.fetchall() languages = [] for el in ans: languages.append(el[0]) st = time.time() if int(tf_idf) > 0: workpath = os.path.dirname(os.path.abspath(__file__)) # Returns the Path your .py file is in path1 = os.path.join(workpath, './config_files/config.json') g = open(path1, 'r') data = json.load(g) data['TF-IDF_k'] = tf_idf with open(path1, 'w') as f: json.dump(data, f) t = UseCase.objects.all() cursor = connection.cursor() json_to_write = {} for top in t: print('topic:' + str(top)) json_to_write[top.name] = {} topic = {} corpus = [] cursor.execute( "SELECT r.id_report,r.language,r.report_json FROM report as r inner join topic_has_document as t on t.id_report = r.id_report and r.language = t.language where t.name = %s", [str(top.name)]) ans = cursor.fetchall() for el in ans: e = json.loads(el[2]) r_j1 = {} r_j1['document_id'] = str(el[0]) r_j1['text'] = '' for k in e.keys(): if k != 'document_id' or ( str(el[0]).startswith('PUBMED_') and (k == 'abstract' or k == 'title')): r_j1['text'] = r_j1['text'] + ' ' + str(e[k]) if el[1].lower() in LANGUAGES_NLTK: corpus.append(r_j1) topic['title'] = top.title topic['description'] = top.description # df_tfidf = gen_tfidf_map(corpus,language) for el in ans: if el[1].lower() in LANGUAGES_NLTK: language = el[1].lower() start = time.time() print('working on ', str(el[0])) e = json.loads(el[2]) r_j1 = {} r_j1['document_id'] = str(el[0]) r_j1['text'] = '' for k in e.keys(): # print(k) # print(e[k]) if isinstance(e[k], list): e[k] = ', '.join(e[k]) if k != 'document_id' and k != 'language' and e[k] is not None: r_j1['text'] = r_j1['text'] + ' ' + e[k] tfidf_matcher = QueryDocMatcher(topic=topic, doc=r_j1, corpus=corpus, language=language) top_k_matching_words = tfidf_matcher.get_words_to_highlight() # print(top_k_matching_words) # json_val = {} # json_val[str(el[0])] = top_k_matching_words # json_val['words'] = top_k_matching_words json_to_write[top.name][str(el[0])] = top_k_matching_words # print(json_to_write) end = time.time() print('elaborated in ' + str(end - start) + ' seconds') else: json_to_write = {} end = time.time() print('time', end - st) path2 = os.path.join(workpath, './config_files/tf_idf_map.json') with open(path2, 'w') as f: json.dump(json_to_write, f) json_resp = {'message': 'Ok'} return json_resp

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137,184

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0.034572

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0.010344

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0.810977

0.793525

0.768964

0

0.004746

0.479298

137,184

2,518

277

54.481334

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0.052105

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0.000496

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0.002976

false

0.007937

0.003968

0.000992

0.047619

0.011409

0

null

0

1

0

1

0

null

0

7

2328fc599b6c9b0929d4c091b19227d81ebee758

989

py

Python

python--exercicios/ex053.py

Eliezer2000/python

12abb54c6536acb2f36b8f34bf51ec765857eb75

[ "MIT" ]

null

python--exercicios/ex053.py

Eliezer2000/python

12abb54c6536acb2f36b8f34bf51ec765857eb75

[ "MIT" ]

null

python--exercicios/ex053.py

Eliezer2000/python

12abb54c6536acb2f36b8f34bf51ec765857eb75

[ "MIT" ]

null

frase = str(input('Digie uma frase : ')).strip().upper() palavras = frase.split() junto = ''.join(palavras) print('Você digitou a frase {}'.format(junto)) inverso = '' for letra in range(len(junto) - 1, - 1, - 1): inverso += junto[letra] if inverso == junto: print('Temos um Palindromo') else: print('A frase digitada não é um palindro !') frase = str(input('Digite uma frase : ')).strip().upper() palavras = frase.split() junto = ''.join(palavras) inverso = '' for letra in range(len(junto) -1, -1, -1): inverso += junto[letra] if inverso == junto: print('Temos um palindromo') else: print('A frase digitada não é um palindro') frase = str(input('Digite uma frase : ')).strip().upper() palavras = frase.split() junto = ''.join(palavras) inverso = '' for letra in range(len(junto) -1, -1, -1): inverso += junto[letra] if inverso == junto: print('Temos um palindromo') else: print('A frase diditada não é um palindromo ')

21.977778

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0.625885

136

989

4.551471

0.25

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0.063005

0.087237

0.878837

0

0.011421

0.203236

989

44

58

22.477273

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0

0.247959

0

1

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false

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0

null

0

1

0

1

0

null

0

7

23458753b2b57a1cc8485ec44023b46ee10a1ee2

9,960

py

Python

test/unit/hsts_support_test.py

grauwoelfchen/pyramid_secure_response

ed162ec5ed0d18aecbcab946c15a2f0c4104ea22

[ "BSD-3-Clause" ]

2

2017-11-29T13:51:55.000Z

2018-01-16T05:51:58.000Z

test/unit/hsts_support_test.py

grauwoelfchen/pyramid_secure_response

ed162ec5ed0d18aecbcab946c15a2f0c4104ea22

[ "BSD-3-Clause" ]

null

test/unit/hsts_support_test.py

grauwoelfchen/pyramid_secure_response

ed162ec5ed0d18aecbcab946c15a2f0c4104ea22

[ "BSD-3-Clause" ]

null

import pytest from pyramid_secure_response.hsts_support import tween @pytest.fixture(autouse=True) def setup(): import logging from pyramid_secure_response.hsts_support import logger logger.setLevel(logging.ERROR) @pytest.mark.parametrize('max_age,include_subdomains,preload,header', [ ('3600', True, True, 'max-age=3600; includeSubDomains; preload'), ('1800', True, False, 'max-age=1800; includeSubDomains'), ('900', False, False, 'max-age=900'), ]) def test_build_hsts_header(max_age, include_subdomains, preload, header): from collections import namedtuple from pyramid_secure_response.hsts_support import build_hsts_header Config = namedtuple('hsts_support', ( # pylint: disable=invalid-name 'max_age', 'include_subdomains', 'preload', )) hsts_support = Config(max_age, include_subdomains, preload) assert header == build_hsts_header(hsts_support) def test_hsts_support_tween_with_disabled(mocker, dummy_request): mocker.patch('pyramid_secure_response.hsts_support.apply_path_filter', return_value=True) mocker.patch('pyramid_secure_response.hsts_support.build_criteria', return_value=[]) from pyramid.response import Response from pyramid_secure_response.hsts_support import ( apply_path_filter, build_criteria, ) dummy_request.registry.settings = { 'pyramid_secure_response.hsts_support.enabled': 'False' } handler_stub = mocker.stub(name='handler_stub') handler_stub.return_value = Response(status=200) hsts_support_tween = tween(handler_stub, dummy_request.registry) res = hsts_support_tween(dummy_request) # pylint: disable=no-member assert 1 == handler_stub.call_count assert 0 == apply_path_filter.call_count assert 0 == build_criteria.call_count assert 'Strict-Transport-Security' not in res.headers def test_hsts_support_tween_with_ignored_path(mocker, dummy_request): mocker.patch('pyramid_secure_response.hsts_support.apply_path_filter', return_value=True) mocker.patch('pyramid_secure_response.hsts_support.build_criteria', return_value=[]) from pyramid.response import Response from pyramid_secure_response.hsts_support import ( apply_path_filter, build_criteria, ) dummy_request.path = '/humans.txt' dummy_request.registry.settings = { 'pyramid_secure_response.hsts_support.enabled': 'True', 'pyramid_secure_response.hsts_support.ignore_paths': '\n/humans.txt\n' } handler_stub = mocker.stub(name='handler_stub') handler_stub.return_value = Response(status=200) hsts_support_tween = tween(handler_stub, dummy_request.registry) res = hsts_support_tween(dummy_request) # pylint: disable=no-member assert 1 == handler_stub.call_count assert 1 == apply_path_filter.call_count apply_path_filter.assert_called_once_with( dummy_request, ('/humans.txt',)) assert 0 == build_criteria.call_count assert 'Strict-Transport-Security' not in res.headers def test_hsts_tween_with_none_ssl_request(mocker, dummy_request): from pyramid_secure_response import hsts_support mocker.spy(hsts_support, 'apply_path_filter') mocker.spy(hsts_support, 'build_criteria') from pyramid.response import Response from pyramid_secure_response.hsts_support import ( apply_path_filter, build_criteria, ) from pyramid_secure_response.util import get_config dummy_request.url = 'http://example.org/' dummy_request.registry.settings = { 'pyramid_secure_response.hsts_support.enabled': 'True', 'pyramid_secure_response.hsts_support.max_age': '31536000', 'pyramid_secure_response.hsts_support.include_subdomains': 'True', 'pyramid_secure_response.hsts_support.preload': 'True', 'pyramid_secure_response.hsts_support.proto_header': '', 'pyramid_secure_response.hsts_support.ignore_paths': '\n', } handler_stub = mocker.stub(name='handler_stub') handler_stub.return_value = Response(status=200) hsts_support_tween = tween(handler_stub, dummy_request.registry) res = hsts_support_tween(dummy_request) # pylint: disable=no-member assert 1 == handler_stub.call_count assert 1 == apply_path_filter.call_count apply_path_filter.assert_called_once_with(dummy_request, tuple()) assert 1 == build_criteria.call_count config = get_config(dummy_request.registry) build_criteria.assert_called_once_with( dummy_request, proto_header=config.hsts_support.proto_header) assert 'Strict-Transport-Security' not in res.headers def test_hsts_tween_with_ssl_request_plus_none_ssl_extra_header( mocker, dummy_request): from pyramid_secure_response import hsts_support mocker.spy(hsts_support, 'apply_path_filter') mocker.spy(hsts_support, 'build_criteria') from pyramid.response import Response from pyramid_secure_response.hsts_support import ( apply_path_filter, build_criteria, ) from pyramid_secure_response.util import get_config dummy_request.url = 'https://example.org/' dummy_request.headers['X-Forwarded-Proto'] = 'http' dummy_request.registry.settings = { 'pyramid_secure_response.hsts_support.enabled': 'True', 'pyramid_secure_response.hsts_support.max_age': '3600', 'pyramid_secure_response.hsts_support.include_subdomains': 'True', 'pyramid_secure_response.hsts_support.preload': 'True', 'pyramid_secure_response.hsts_support.proto_header': 'X-Forwarded-Proto', 'pyramid_secure_response.hsts_support.ignore_paths': '\n', } handler_stub = mocker.stub(name='handler_stub') handler_stub.return_value = Response(status=200) hsts_support_tween = tween(handler_stub, dummy_request.registry) res = hsts_support_tween(dummy_request) # pylint: disable=no-member assert 1 == handler_stub.call_count assert 1 == apply_path_filter.call_count apply_path_filter.assert_called_once_with(dummy_request, tuple()) assert 1 == build_criteria.call_count config = get_config(dummy_request.registry) build_criteria.assert_called_once_with( dummy_request, proto_header=config.hsts_support.proto_header) assert 'Strict-Transport-Security' not in res.headers def test_hsts_tween_with_ssl_request(mocker, dummy_request): from pyramid_secure_response import hsts_support mocker.spy(hsts_support, 'apply_path_filter') mocker.spy(hsts_support, 'build_criteria') from pyramid.response import Response from pyramid_secure_response.hsts_support import ( apply_path_filter, build_criteria, ) from pyramid_secure_response.util import get_config dummy_request.url = 'https://example.org/' dummy_request.registry.settings = { 'pyramid_secure_response.hsts_support.enabled': 'True', 'pyramid_secure_response.hsts_support.max_age': '300', # 5 minutes. 'pyramid_secure_response.hsts_support.include_subdomains': 'True', 'pyramid_secure_response.hsts_support.preload': 'True', 'pyramid_secure_response.hsts_support.proto_header': '', 'pyramid_secure_response.hsts_support.ignore_paths': '\n', } handler_stub = mocker.stub(name='handler_stub') handler_stub.return_value = Response(status=200) hsts_support_tween = tween(handler_stub, dummy_request.registry) res = hsts_support_tween(dummy_request) # pylint: disable=no-member assert 1 == handler_stub.call_count assert 1 == apply_path_filter.call_count apply_path_filter.assert_called_once_with(dummy_request, tuple()) assert 1 == build_criteria.call_count config = get_config(dummy_request.registry) build_criteria.assert_called_once_with( dummy_request, proto_header=config.hsts_support.proto_header) assert 'Strict-Transport-Security' in res.headers assert 'max-age=300; includeSubDomains; preload' == \ res.headers['Strict-Transport-Security'] def test_hsts_tween_with_ssl_request_plus_extra_header_check( mocker, dummy_request): from pyramid_secure_response import hsts_support mocker.spy(hsts_support, 'apply_path_filter') mocker.spy(hsts_support, 'build_criteria') from pyramid.response import Response from pyramid_secure_response.hsts_support import ( apply_path_filter, build_criteria, ) from pyramid_secure_response.util import get_config dummy_request.url = 'https://example.org/' dummy_request.headers['X-Forwarded-Proto'] = 'https' dummy_request.registry.settings = { 'pyramid_secure_response.hsts_support.enabled': 'True', 'pyramid_secure_response.hsts_support.max_age': '604800', # 1 week 'pyramid_secure_response.hsts_support.include_subdomains': 'True', 'pyramid_secure_response.hsts_support.preload': 'True', 'pyramid_secure_response.hsts_support.proto_header': 'X-Forwarded-Proto', 'pyramid_secure_response.hsts_support.ignore_paths': '\n', } handler_stub = mocker.stub(name='handler_stub') handler_stub.return_value = Response(status=200) hsts_support_tween = tween(handler_stub, dummy_request.registry) res = hsts_support_tween(dummy_request) # pylint: disable=no-member assert 1 == handler_stub.call_count assert 1 == apply_path_filter.call_count apply_path_filter.assert_called_once_with(dummy_request, tuple()) assert 1 == build_criteria.call_count config = get_config(dummy_request.registry) build_criteria.assert_called_once_with( dummy_request, proto_header=config.hsts_support.proto_header) assert 'Strict-Transport-Security' in res.headers assert 'max-age=604800; includeSubDomains; preload' == \ res.headers['Strict-Transport-Security']

37.164179

78

0.740161

1,243

9,960

5.556718

0.083669

0.116259

0.145939

0.144781

0.920805

0.908643

0.891994

0.857246

0.850007

0

0.01086

0.167972

9,960

267

79

37.303371

0.822614

0.020281

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0.727723

0

0.248359

0.177267

0

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1

0.039604

false

0

0.128713

0

0.168317

0

null

0

1

0

1

0

null

0

7

237c1b3acee43b916550b7ee38befd21304e4b7e

137

py

Python

week11/helloWorld.py

kmcooper/BMI8540

8becb1b2bdf4199684e470e09f0f4c8b93967e08

[ "MIT" ]

null

week11/helloWorld.py

kmcooper/BMI8540

8becb1b2bdf4199684e470e09f0f4c8b93967e08

[ "MIT" ]

null

week11/helloWorld.py

kmcooper/BMI8540

8becb1b2bdf4199684e470e09f0f4c8b93967e08

[ "MIT" ]

1

2021-04-05T22:42:48.000Z

# This program prints out Hello World! #/usr/bin/python3.7 # Prints out Hello World # Thats it. Thats the code. print("Hello world!")

17.125

38

0.708029

22

137

4.409091

0.681818

0.309278

0.28866

0.391753

0

0.017699

0.175182

137

7

39

19.571429

0.840708

0.751825

0

0.413793

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

88d186180e893221bb313edf00982d1a6bb4683e

5,101

py

Python

rvpvp/isa/rvv/vmfxx_vf.py

ultrafive/riscv-pvp

843e38422c3d545352b955764927d5e7847e5453

[ "Unlicense" ]

5

2021-05-10T09:57:00.000Z

2021-10-05T14:39:20.000Z

rvpvp/isa/rvv/vmfxx_vf.py

ultrafive/riscv-pvp

843e38422c3d545352b955764927d5e7847e5453

[ "Unlicense" ]

null

rvpvp/isa/rvv/vmfxx_vf.py

ultrafive/riscv-pvp

843e38422c3d545352b955764927d5e7847e5453

[ "Unlicense" ]

1

2021-05-14T20:24:11.000Z

from ...isa.inst import * import numpy as np class Vmfeq_vf(Inst): name = 'vmfeq.vf' def golden(self): if 'vs2' in self: result = np.unpackbits( self['orig'], bitorder='little' ) if 'vstart' in self: vstart = self['vstart'] else: vstart = 0 if 'mask' in self: mask = np.unpackbits(self['mask'], bitorder='little')[vstart: self['vl']] else: if self['vl'] >= vstart: mask = np.ones( self['vl'] - vstart, dtype = np.uint8 ) for no in range(vstart, self['vl']): if mask[ no - vstart ] == 1: result[ no ] = self['rs1'] == self['vs2'][no] result = np.packbits( result, bitorder='little' ) return result else: return 0 class Vmfne_vf(Inst): name = 'vmfne.vf' def golden(self): if 'vs2' in self: result = np.unpackbits( self['orig'], bitorder='little' ) if 'vstart' in self: vstart = self['vstart'] else: vstart = 0 if 'mask' in self: mask = np.unpackbits(self['mask'], bitorder='little')[vstart: self['vl']] else: if self['vl'] >= vstart: mask = np.ones( self['vl'] - vstart, dtype = np.uint8 ) for no in range(vstart, self['vl']): if mask[ no - vstart ] == 1: result[ no ] = self['rs1'] != self['vs2'][no] result = np.packbits( result, bitorder='little' ) return result else: return 0 class Vmflt_vf(Inst): name = 'vmflt.vf' def golden(self): if 'vs2' in self: result = np.unpackbits( self['orig'], bitorder='little' ) if 'vstart' in self: vstart = self['vstart'] else: vstart = 0 if 'mask' in self: mask = np.unpackbits(self['mask'], bitorder='little')[vstart: self['vl']] else: if self['vl'] >= vstart: mask = np.ones( self['vl'] - vstart, dtype = np.uint8 ) for no in range(vstart, self['vl']): if mask[ no - vstart ] == 1: result[ no ] = self['vs2'][no] < self['rs1'] result = np.packbits( result, bitorder='little' ) return result else: return 0 class Vmfle_vf(Inst): name = 'vmfle.vf' def golden(self): if 'vs2' in self: result = np.unpackbits( self['orig'], bitorder='little' ) if 'vstart' in self: vstart = self['vstart'] else: vstart = 0 if 'mask' in self: mask = np.unpackbits(self['mask'], bitorder='little')[vstart: self['vl']] else: if self['vl'] >= vstart: mask = np.ones( self['vl'] - vstart, dtype = np.uint8 ) for no in range(vstart, self['vl']): if mask[ no - vstart ] == 1: result[ no ] = self['vs2'][no] <= self['rs1'] result = np.packbits( result, bitorder='little' ) return result else: return 0 class Vmfgt_vf(Inst): name = 'vmfgt.vf' def golden(self): if 'vs2' in self: result = np.unpackbits( self['orig'], bitorder='little' ) if 'vstart' in self: vstart = self['vstart'] else: vstart = 0 if 'mask' in self: mask = np.unpackbits(self['mask'], bitorder='little')[vstart: self['vl']] else: if self['vl'] >= vstart: mask = np.ones( self['vl'] - vstart, dtype = np.uint8 ) for no in range(vstart, self['vl']): if mask[ no - vstart ] == 1: result[ no ] = self['vs2'][no] > self['rs1'] result = np.packbits( result, bitorder='little' ) return result else: return 0 class Vmfge_vf(Inst): name = 'vmfge.vf' def golden(self): if 'vs2' in self: result = np.unpackbits( self['orig'], bitorder='little' ) if 'vstart' in self: vstart = self['vstart'] else: vstart = 0 if 'mask' in self: mask = np.unpackbits(self['mask'], bitorder='little')[vstart: self['vl']] else: if self['vl'] >= vstart: mask = np.ones( self['vl'] - vstart, dtype = np.uint8 ) for no in range(vstart, self['vl']): if mask[ no - vstart ] == 1: result[ no ] = self['vs2'][no] >= self['rs1'] result = np.packbits( result, bitorder='little' ) return result else: return 0

26.02551

89

0.440306

542

5,101

4.132841

0.077491

0.064286

0.085714

0.040179

0.929911

0

0.014291

0.423838

5,101

195

90

26.158974

0.747873

0

0.84375

0

0.078839

0

1

0.046875

false

0

0.015625

0

0.25

0

null

0

1

0

1

0

null

0

7

88e9839f321bc9cffd29102df066220f61069f15

145

py

Python

choir/modeling/meta_arch/__init__.py

scwangdyd/large_vocabulary_hoi_detection

db7a4397c3050b1bf9a3f7473edf125e2b1046c4

[ "MIT" ]

9

2021-11-13T17:14:07.000Z

2022-03-29T00:27:54.000Z

choir/modeling/meta_arch/__init__.py

scwangdyd/large_vocabulary_hoi_detection

db7a4397c3050b1bf9a3f7473edf125e2b1046c4

[ "MIT" ]

1

2022-02-04T16:28:01.000Z

choir/modeling/meta_arch/__init__.py

scwangdyd/large_vocabulary_hoi_detection

db7a4397c3050b1bf9a3f7473edf125e2b1046c4

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .build import META_ARCH_REGISTRY, build_model from .hoi_detector import HOIR from .cascade_hoi_detector import CHOIR

36.25

50

0.793103

22

145

4.954545

0.681818

0.201835

0.311927

0

0.007813

0.117241

145

4

51

36.25

0.84375

0.144828

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

0019f7968180b909204c7c13b0c213a8f952cd40

29,772

py

Python

writer/newyork30.py

rayidghani/esp32

3b83c01e18bc952d4808ab6964625d00aab8366b

[ "MIT" ]

null

writer/newyork30.py

rayidghani/esp32

3b83c01e18bc952d4808ab6964625d00aab8366b

[ "MIT" ]

null

writer/newyork30.py

rayidghani/esp32

3b83c01e18bc952d4808ab6964625d00aab8366b

[ "MIT" ]

null

# Code generated by font_to_py.py. # Font: NewYork.ttf # Cmd: ../../../micropython-font-to-py/font_to_py.py -x /System/Library/Fonts/NewYork.ttf 30 newyork30.py version = '0.33' def height(): return 30 def baseline(): return 23 def max_width(): return 29 def hmap(): return True def reverse(): return False def monospaced(): return False def min_ch(): return 32 def max_ch(): return 126 _font =\ b'\x09\x00\x00\x00\x00\x00\x38\x00\x7c\x00\x7e\x00\x07\x00\x03\x00'\ b'\x01\x00\x01\x00\x01\x00\x03\x00\x06\x00\x1e\x00\x1c\x00\x18\x00'\ b'\x20\x00\x10\x00\x00\x00\x00\x00\x00\x00\x38\x00\x38\x00\x38\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x07\x00'\ b'\x00\x00\x38\x38\x38\x38\x38\x38\x38\x38\x10\x10\x10\x10\x10\x10'\ b'\x10\x00\x00\x00\x38\x38\x38\x00\x00\x00\x00\x00\x00\x00\x0c\x00'\ 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b'\x38\x00\x38\x00\xfe\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x0c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x1f\x80\x30\xc0\x60\x40\x60\x40'\ b'\x70\x00\x78\x00\x3f\x00\x07\xc0\x01\xe0\x00\x60\x40\x60\x60\x60'\ b'\x70\xc0\x1f\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x08\x00\x18\x00\x38\x00\x7f\x80\x38\x00\x38\x00\x38\x00\x38\x00'\ b'\x38\x00\x38\x00\x38\x00\x38\x00\x38\x00\x38\x00\x38\x00\x1c\x00'\ b'\x0f\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x10\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x38\x1c\x78\x3c\x38\x1c\x38\x1c\x38\x1c\x38\x1c'\ b'\x38\x1c\x38\x1c\x38\x1c\x38\x1c\x38\x1c\x38\x1c\x1c\x7c\x0f\x9f'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0e\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\xfe\x7c\x38\x10\x38\x10\x18\x20\x1c\x20\x1c\x20\x0e\x40'\ b'\x0e\x40\x0e\x40\x07\x80\x07\x80\x03\x00\x03\x00\x03\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x15\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\xfc\x7e\x78\x38\x38\x10\x38'\ b'\x38\x20\x38\x5c\x20\x18\x5c\x20\x1c\x4c\x40\x1c\x8e\x40\x0c\x8e'\ b'\x40\x0e\x86\x80\x0f\x07\x80\x07\x07\x80\x07\x03\x00\x06\x03\x00'\ b'\x02\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x0e\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xfc\x78\x38\x30'\ b'\x38\x20\x1c\x40\x0e\x80\x0e\x80\x07\x00\x07\x80\x0b\x80\x09\xc0'\ b'\x10\xe0\x10\xe0\x20\x70\xf1\xfc\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x0e\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xfc\x7c\x78\x10\x38\x10'\ b'\x38\x20\x1c\x20\x1c\x40\x1c\x40\x0e\x40\x0e\x80\x06\x80\x07\x80'\ b'\x07\x00\x03\x00\x02\x00\x02\x00\x02\x00\x04\x00\x04\x00\x0c\x00'\ b'\x08\x00\x18\x00\x0c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x7f\xe0\x60\xe0\x41\xc0\x41\x80'\ b'\x03\x80\x07\x00\x07\x00\x0e\x00\x0c\x00\x1c\x00\x18\x20\x38\x20'\ b'\x70\x60\x7f\xe0\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x09\x00\x07\x00\x0c\x00\x18\x00\x18\x00\x18\x00\x18\x00'\ b'\x18\x00\x18\x00\x18\x00\x18\x00\x18\x00\x18\x00\x30\x00\xc0\x00'\ b'\x20\x00\x10\x00\x18\x00\x18\x00\x18\x00\x18\x00\x18\x00\x18\x00'\ b'\x18\x00\x18\x00\x18\x00\x0c\x00\x07\x00\x00\x00\x00\x00\x00\x00'\ b'\x09\x00\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00'\ b'\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00'\ b'\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00\x08\x00'\ b'\x08\x00\x08\x00\x08\x00\x08\x00\x00\x00\x00\x00\x00\x00\x09\x00'\ b'\x70\x00\x18\x00\x0c\x00\x0c\x00\x0c\x00\x0c\x00\x0c\x00\x0c\x00'\ b'\x0c\x00\x0c\x00\x0c\x00\x0c\x00\x06\x00\x01\x80\x02\x00\x04\x00'\ b'\x0c\x00\x0c\x00\x0c\x00\x0c\x00\x0c\x00\x0c\x00\x0c\x00\x0c\x00'\ b'\x0c\x00\x18\x00\x70\x00\x00\x00\x00\x00\x00\x00\x0f\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x1c\x04\x22\x04\x41\x04\x40\x88\x40\x70'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' _index =\ b'\x00\x00\x3e\x00\x5e\x00\x7e\x00\xbc\x00\xfa\x00\x38\x01\x94\x01'\ b'\xf0\x01\x10\x02\x4e\x02\x8c\x02\xca\x02\x08\x03\x28\x03\x66\x03'\ b'\x86\x03\xc4\x03\x02\x04\x40\x04\x7e\x04\xbc\x04\xfa\x04\x38\x05'\ b'\x76\x05\xb4\x05\xf2\x05\x30\x06\x50\x06\x70\x06\xae\x06\xec\x06'\ b'\x2a\x07\x68\x07\xe2\x07\x3e\x08\x9a\x08\xf6\x08\x52\x09\xae\x09'\ b'\xec\x09\x48\x0a\xa4\x0a\xe2\x0a\x20\x0b\x7c\x0b\xba\x0b\x34\x0c'\ b'\x90\x0c\xec\x0c\x48\x0d\xa4\x0d\x00\x0e\x3e\x0e\x9a\x0e\xf6\x0e'\ b'\x52\x0f\xcc\x0f\x28\x10\x84\x10\xe0\x10\x1e\x11\x5c\x11\x9a\x11'\ b'\xd8\x11\x16\x12\x54\x12\x92\x12\xd0\x12\x0e\x13\x4c\x13\x8a\x13'\ b'\xc8\x13\x06\x14\x44\x14\x64\x14\x84\x14\xc2\x14\xe2\x14\x3e\x15'\ b'\x7c\x15\xba\x15\xf8\x15\x36\x16\x74\x16\xb2\x16\xf0\x16\x2e\x17'\ b'\x6c\x17\xc8\x17\x06\x18\x44\x18\x82\x18\xc0\x18\xfe\x18\x3c\x19'\ b'\x7a\x19' _mvfont = memoryview(_font) _mvi = memoryview(_index) ifb = lambda l : l[0] | (l[1] << 8) def get_ch(ch): oc = ord(ch) ioff = 2 * (oc - 32 + 1) if oc >= 32 and oc <= 126 else 0 doff = ifb(_mvi[ioff : ]) width = ifb(_mvfont[doff : ]) next_offs = doff + 2 + ((width - 1)//8 + 1) * 30 return _mvfont[doff + 2:next_offs], 30, width

63.615385

105

0.707242

7,264

29,772

2.896063

0.027395

0.636307

0.797024

0.900699

0.760897

0.730332

0.694443

0.653943

0.598469

0.550269

0

0.416538

0.020657

29,772

467

106

63.751606

0.30497

0.005173

0

0.157778

1

0.931111

0.907274

0.906868

0

1

0

1

0.02

false

0

0.017778

0.04

0

null

1

0

1

0

1

0

1

0

1

null

1

0

11

003a9685bec17a9415b100702335fa9e00d45ca2

148

py

Python

activitysimulations/watchingsimulation.py

TheImaginaryOne/movies-py

a3b601228cde6850919eaf84c0175f5ce3822e2b

[ "MIT" ]

null

activitysimulations/watchingsimulation.py

TheImaginaryOne/movies-py

a3b601228cde6850919eaf84c0175f5ce3822e2b

[ "MIT" ]

null

activitysimulations/watchingsimulation.py

TheImaginaryOne/movies-py

a3b601228cde6850919eaf84c0175f5ce3822e2b

[ "MIT" ]

null

from domainmodel.movie import Movie from domainmodel.user import User from domainmodel.review import Review class MovieWatchingSimulation: pass

24.666667

37

0.844595

18

148

6.944444

0.5

0.36

0

0.128378

148

6

38

24.666667

0.968992

0

1

0

true

0.2

0.6

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

cc3bee54a2f2cfe376b47e81d9587a3619a3b474

159

py

Python

HackerRank/10 Days of Statistics/Day4B.py

ShubhamJagtap2000/competitive-programming-1

3a9a2e3dd08f8fa8ab823f295cd020d08d3bff84

[ "MIT" ]

1

2021-07-22T07:37:31.000Z

HackerRank/10 Days of Statistics/Day4B.py

ShubhamJagtap2000/competitive-programming-1

3a9a2e3dd08f8fa8ab823f295cd020d08d3bff84

[ "MIT" ]

null

HackerRank/10 Days of Statistics/Day4B.py

ShubhamJagtap2000/competitive-programming-1

3a9a2e3dd08f8fa8ab823f295cd020d08d3bff84

[ "MIT" ]

null

import math print(round((pow(0.88, 10) + (1.2*pow(0.88, 9)) + (45*pow(0.88, 8)*pow(0.12, 2))), 3)) print(round((1 - (pow(0.88, 10) + (1.2*pow(0.88, 9)))), 3))

39.75

86

0.522013

38

159

2.184211

0.394737

0.289157

0.361446

0.192771

0.409639

0

0.251799

0.125786

159

3

87

53

0.345324

0

1

0

true

0

0.333333

0

0.333333

0.666667

0

null

1

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

9

ccafc8dd350a7b473fa57c6480d7480ca3cc0213

187

py

Python

Week 1 Exercises/vara_varb.py

parkerbxyz/MITx-6.00.1x-2T2019a

58709fcf1acc380f4a5884d03739fdd621587540

[ "MIT" ]

1

2019-09-25T06:59:55.000Z

Week 1 Exercises/vara_varb.py

parkerbxyz/MITx-6.00.1x-2T2019a

58709fcf1acc380f4a5884d03739fdd621587540

[ "MIT" ]

null

Week 1 Exercises/vara_varb.py

parkerbxyz/MITx-6.00.1x-2T2019a

58709fcf1acc380f4a5884d03739fdd621587540

[ "MIT" ]

null

if type(varA) is str or type(varB) is str: print('string involved') elif varA == varB: print('equal') elif varA > varB: print('bigger') elif varA < varB: print('smaller')

20.777778

42

0.631016

28

187

4.214286

0.5

0.20339

0.305085

0.432203

0

0.219251

187

8

43

23.375

0.808219

0

0.176471

0

1

0

true

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

7

ccbbe3f7f8abd59eb83d99bd5e50d90f00755f5b

13,267

py

Python

geokey/applications/tests/test_views.py

universityofsussex/geokey

25e161dbc81841c57c148053dbe99facc81e84b8

[ "Apache-2.0" ]

null

geokey/applications/tests/test_views.py

universityofsussex/geokey

25e161dbc81841c57c148053dbe99facc81e84b8

[ "Apache-2.0" ]

null

geokey/applications/tests/test_views.py

universityofsussex/geokey

25e161dbc81841c57c148053dbe99facc81e84b8

[ "Apache-2.0" ]

null

"""Tests for views of applications.""" from django.test import TestCase from django.core.urlresolvers import reverse from django.contrib.auth.models import AnonymousUser from django.http import HttpResponseRedirect from nose.tools import raises from oauth2_provider.models import AccessToken from rest_framework.test import APIRequestFactory from geokey.projects.tests.model_factories import UserFactory from ..views import ( ApplicationOverview, ApplicationCreate, ApplicationSettings, ApplicationDelete, ApplicationConnected, ApplicationDisconnect ) from ..models import Application from .model_factories import ApplicationFactory class ApplicationOverviewTest(TestCase): def test_get_with_user(self): view = ApplicationOverview.as_view() url = reverse('admin:app_overview') request = APIRequestFactory().get(url) request.user = UserFactory.create() response = view(request).render() self.assertEqual(response.status_code, 200) def test_get_with_anonymous(self): view = ApplicationOverview.as_view() url = reverse('admin:app_overview') request = APIRequestFactory().get(url) request.user = AnonymousUser() response = view(request) self.assertTrue(isinstance(response, HttpResponseRedirect)) class ApplicationConnectedTest(TestCase): def test_get_with_user(self): view = ApplicationConnected.as_view() url = reverse('admin:app_connected') request = APIRequestFactory().get(url) request.user = UserFactory.create() response = view(request).render() self.assertEqual(response.status_code, 200) def test_get_with_anonymous(self): view = ApplicationConnected.as_view() url = reverse('admin:app_connected') request = APIRequestFactory().get(url) request.user = AnonymousUser() response = view(request) self.assertTrue(isinstance(response, HttpResponseRedirect)) class ApplicationDisconnectTest(TestCase): def setUp(self): self.user = UserFactory.create() self.app = ApplicationFactory.create() self.token = AccessToken.objects.create( user=self.user, application=self.app, token='df0af6a395b4cd072445b3832e9379bfee257da0', scope=1, expires='2030-12-31T23:59:01+00:00' ) @raises(AccessToken.DoesNotExist) def test_get_with_user(self): view = ApplicationDisconnect.as_view() url = reverse('admin:app_disconnect', kwargs={'app_id': self.app.id}) request = APIRequestFactory().get(url) from django.contrib.messages.storage.fallback import FallbackStorage setattr(request, 'session', 'session') messages = FallbackStorage(request) setattr(request, '_messages', messages) request.user = self.user response = view(request, app_id=self.app.id) self.assertTrue(isinstance(response, HttpResponseRedirect)) AccessToken.objects.get(pk=self.token.id) def test_get_with_anonymous(self): view = ApplicationDisconnect.as_view() url = reverse('admin:app_disconnect', kwargs={'app_id': self.app.id}) request = APIRequestFactory().get(url) request.user = AnonymousUser() response = view(request, app_id=self.app.id) self.assertTrue(isinstance(response, HttpResponseRedirect)) self.assertIsNotNone(AccessToken.objects.get(pk=self.token.id)) def test_get_with_unconnected_user(self): view = ApplicationDisconnect.as_view() url = reverse('admin:app_disconnect', kwargs={'app_id': self.app.id}) request = APIRequestFactory().get(url) request.user = UserFactory.create() response = view(request, app_id=self.app.id) self.assertTrue(isinstance(response, HttpResponseRedirect)) class ApplicationCreateTest(TestCase): def test_get_with_user(self): view = ApplicationCreate.as_view() url = reverse('admin:app_register') request = APIRequestFactory().get(url) request.user = UserFactory.create() response = view(request).render() self.assertEqual(response.status_code, 200) def test_get_with_anonymous(self): view = ApplicationCreate.as_view() url = reverse('admin:app_register') request = APIRequestFactory().get(url) request.user = AnonymousUser() response = view(request) self.assertTrue(isinstance(response, HttpResponseRedirect)) def test_post_with_user(self): data = { 'name': 'test app', 'description:': '', 'download_url': 'http://example.com', 'redirect_uris': 'http://example.com', 'authorization_grant_type': 'password', 'skip_authorization': False, } view = ApplicationCreate.as_view() url = reverse('admin:app_register') request = APIRequestFactory().post(url, data) request.user = UserFactory.create() from django.contrib.messages.storage.fallback import FallbackStorage setattr(request, 'session', 'session') messages = FallbackStorage(request) setattr(request, '_messages', messages) response = view(request) self.assertEqual(response.status_code, 302) self.assertEqual(Application.objects.count(), 1) def test_post_with_anonymous(self): data = { 'name': 'test app', 'description': '', 'download_url': 'http://example.com', 'redirect_uris': 'http://example.com', 'authorization_grant_type': 'password', 'skip_authorization': False, } view = ApplicationCreate.as_view() url = reverse('admin:app_register') request = APIRequestFactory().post(url, data) request.user = AnonymousUser() response = view(request) self.assertEqual(response.status_code, 302) self.assertEqual(Application.objects.count(), 0) class ApplicationSettingsTest(TestCase): def setUp(self): self.creator = UserFactory.create() self.app = ApplicationFactory.create(**{'user': self.creator}) def test_get_with_creator(self): view = ApplicationSettings.as_view() url = reverse('admin:app_settings', kwargs={'app_id': self.app.id}) request = APIRequestFactory().get(url) request.user = self.creator response = view(request, app_id=self.app.id).render() self.assertEqual(response.status_code, 200) self.assertNotContains( response, 'You are not the owner of this application and therefore not' 'allowed to access this app.' ) def test_get_with_user(self): view = ApplicationSettings.as_view() url = reverse('admin:app_settings', kwargs={'app_id': self.app.id}) request = APIRequestFactory().get(url) request.user = UserFactory.create() response = view(request, app_id=self.app.id).render() self.assertEqual(response.status_code, 200) self.assertContains( response, 'You are not the owner of this application and therefore not ' 'allowed to access this app.' ) def test_get_with_anonymous(self): view = ApplicationSettings.as_view() url = reverse('admin:app_settings', kwargs={'app_id': self.app.id}) request = APIRequestFactory().get(url) request.user = AnonymousUser() response = view(request, app_id=self.app.id) self.assertTrue(isinstance(response, HttpResponseRedirect)) def test_post_with_creator(self): data = { 'name': 'test app', 'description': '', 'download_url': 'http://example.com', 'redirect_uris': 'http://example.com', 'authorization_grant_type': 'password', 'skip_authorization': True, } view = ApplicationSettings.as_view() url = reverse('admin:app_settings', kwargs={'app_id': self.app.id}) request = APIRequestFactory().post(url, data) request.user = self.creator from django.contrib.messages.storage.fallback import FallbackStorage setattr(request, 'session', 'session') messages = FallbackStorage(request) setattr(request, '_messages', messages) response = view(request, app_id=self.app.id).render() self.assertEqual(response.status_code, 200) self.assertNotContains( response, 'You are not the owner of this application and therefore not' 'allowed to access this app.' ) ref = Application.objects.get(pk=self.app.id) self.assertEqual(ref.name, data.get('name')) self.assertEqual(ref.description, data.get('description')) self.assertEqual(ref.download_url, data.get('download_url')) self.assertEqual(ref.redirect_uris, data.get('redirect_uris')) self.assertEqual( ref.authorization_grant_type, data.get('authorization_grant_type') ) def test_post_with_user(self): data = { 'name': 'test app', 'description': '', 'download_url': 'http://example.com/download', 'redirect_uris': 'http://example.com/redirect', 'authorization_grant_type': 'password', 'skip_authorization': True, } view = ApplicationSettings.as_view() url = reverse('admin:app_settings', kwargs={'app_id': self.app.id}) request = APIRequestFactory().post(url, data) request.user = UserFactory.create() response = view(request, app_id=self.app.id).render() self.assertEqual(response.status_code, 200) self.assertContains( response, 'You are not the owner of this application and therefore not ' 'allowed to access this app.' ) ref = Application.objects.get(pk=self.app.id) self.assertNotEqual(ref.name, data.get('name')) self.assertNotEqual(ref.description, data.get('description')) self.assertNotEqual(ref.download_url, data.get('download_url')) self.assertNotEqual(ref.redirect_uris, data.get('redirect_uris')) self.assertNotEqual( ref.authorization_grant_type, data.get('authorization_grant_type') ) def test_post_with_anonymous(self): data = { 'name': 'test app', 'description': '', 'download_url': 'http://example.com/download', 'redirect_uris': 'http://example.com/redirect', 'authorization_grant_type': 'password', 'skip_authorization': True, } view = ApplicationSettings.as_view() url = reverse('admin:app_settings', kwargs={'app_id': self.app.id}) request = APIRequestFactory().post(url, data) request.user = AnonymousUser() response = view(request, app_id=self.app.id) self.assertTrue(isinstance(response, HttpResponseRedirect)) ref = Application.objects.get(pk=self.app.id) self.assertNotEqual(ref.name, data.get('name')) self.assertNotEqual(ref.description, data.get('description')) self.assertNotEqual(ref.download_url, data.get('download_url')) self.assertNotEqual(ref.redirect_uris, data.get('redirect_uris')) self.assertNotEqual( ref.authorization_grant_type, data.get('authorization_grant_type') ) class ApplicationDeleteTest(TestCase): def setUp(self): self.creator = UserFactory.create() self.app = ApplicationFactory.create(**{'user': self.creator}) def test_get_with_creator(self): view = ApplicationDelete.as_view() url = reverse('admin:app_delete', kwargs={'app_id': self.app.id}) request = APIRequestFactory().get(url) from django.contrib.messages.storage.fallback import FallbackStorage setattr(request, 'session', 'session') messages = FallbackStorage(request) setattr(request, '_messages', messages) request.user = self.creator response = view(request, app_id=self.app.id) self.assertTrue(isinstance(response, HttpResponseRedirect)) def test_get_with_user(self): view = ApplicationDelete.as_view() url = reverse('admin:app_delete', kwargs={'app_id': self.app.id}) request = APIRequestFactory().get(url) request.user = UserFactory.create() response = view(request, app_id=self.app.id).render() self.assertEqual(response.status_code, 200) self.assertContains( response, 'You are not the owner of this application and therefore not ' 'allowed to access this app.' ) def test_get_with_anonymous(self): view = ApplicationDelete.as_view() url = reverse('admin:app_delete', kwargs={'app_id': self.app.id}) request = APIRequestFactory().get(url) request.user = AnonymousUser() response = view(request, app_id=self.app.id) self.assertTrue(isinstance(response, HttpResponseRedirect))

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13,267

341

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0.823169

0.002412

0

0.806228

0

0.145967

0.019427

0

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0.079585

false

0.017301

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0.152249

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null

0

1

0

1

0

null

0

7

cccf817cf51b708eaffec6a6225223c0eb0ab492

110

py

Python

qtrader/simulation/tests/__init__.py

aaron8tang/qtrader

9bd50fd173c7b55707e91d75985055bbe8664548

[ "Apache-2.0" ]

381

2017-10-25T19:17:04.000Z

2021-03-02T08:46:53.000Z

qtrader/simulation/tests/__init__.py

362115815/qtrader

e5c1e175e19b20381f9140fb76c30ad5cb81f01c

[ "Apache-2.0" ]

3

2018-02-13T23:19:40.000Z

2018-12-03T22:50:58.000Z

qtrader/simulation/tests/__init__.py

362115815/qtrader

e5c1e175e19b20381f9140fb76c30ad5cb81f01c

[ "Apache-2.0" ]

145

2017-10-25T19:17:06.000Z

2021-02-15T04:54:08.000Z

from qtrader.simulation.tests.arbitrage import Arbitrage from qtrader.simulation.tests.moments import Moments

36.666667

56

0.872727

14

110

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0.5

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0.541667

0

0.072727

110

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0

1

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true

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null

0

1

0

1

0

1

0

8

ccd3dea82b78f398839e7a993414c4894c3e33fe

105,660

py

Python

Gina.py

Zekx/CS332Fighting_Game

4dbded68f8ebe955db29b12f8d3409db2710c019

[ "CECILL-B" ]

null

Gina.py

Zekx/CS332Fighting_Game

4dbded68f8ebe955db29b12f8d3409db2710c019

[ "CECILL-B" ]

null

Gina.py

Zekx/CS332Fighting_Game

4dbded68f8ebe955db29b12f8d3409db2710c019

[ "CECILL-B" ]

null

import pygame from boxes import HurtBox from boxes import HitBox from boxes import DamageBox from boxes import InvincibleBox from boxes import GrabBox from projectile import GinaFireBall from effects import * from Character import Character class Gina(Character): def __init__(self): """ Initializes the class for the character Gina. Stores her animations of all of her attacks and saves the statistics for the player. :return: """ super().__init__() self.name = 'Gina' self.health = 200 self.meter = 100 self.jump_height = 400 self.portrait = pygame.image.load('Sprites/Gina/GinaPortrait.png') self.image = pygame.image.load('Sprites/Gina/GinaStand1.png') self.rect = self.image.get_rect() self.x_offset = 10 self.y_offset = 30 self.dashImage = pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaFDash.png'), (180, 250)) self.neutralPosition = pygame.image.load('Sprites/Gina/GinaStand1.png') self.jumpImage = pygame.image.load('Sprites/Gina/GinaJump4.png') # The following loops add in all of the sprites for the animation... # Inserts Gina's Victory animation. for x in range(0, 120): self.victory_animation.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaWin.png'), (130, 250))) # Inserts Gina's Time Out Lose animation for x in range(0, 60): self.defeat_animation.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaTimeLose.png'), (130, 250))) # Inserts Gina's Crumble Lose animation for x in range(0, 15): self.crumble_animation.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaHurt1.png'), (130, 250))) for x in range(0, 15): self.crumble_animation.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaHurt2.png'), (130, 250))) for x in range(0, 30): self.crumble_animation.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaKnockdown.png'), (240, 130))) # Inserts Gina's standing animation. for x in range(0, 30): self.standing.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaStand1.png'), (130, 250))) for x in range(0, 30): self.standing.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaStand2.png'), (130, 250))) for x in range(0, 30): self.standing.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaStand3.png'), (130, 250))) #Inserts Gina's crouching animation. for x in range(0, 30): self.crouching.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaCrouch1.png'), (130, 250))) for x in range(0, 30): self.crouching.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaCrouch2.png'), (130, 250))) for x in range(0, 30): self.crouching.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaCrouch3.png'), (130, 250))) #Inserts Gina's dash animation. for x in range(0, 85): self.dash.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaFDash.png'), (180, 250))) #Inserts Gina's back-dash animation. for x in range(0, 75): self.backdash.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaBDash.png'), (150, 250))) #Inserts Gina's jumping animation. for x in range(0, 30): self.jump.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump1.png'), (130, 250))) for x in range(0, 30): self.jump.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump2.png'), (130, 250))) for x in range(0, 80): self.jump.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250))) for x in range(0, 100): self.jump.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250))) #Inserts Gina's Forward walking animation. for x in range(0, 15): self.walkFoward.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaFWalk1.png'), (130, 250))) for x in range(0, 15): self.walkFoward.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaFWalk2.png'), (130, 250))) for x in range(0, 15): self.walkFoward.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaFWalk3.png'), (130, 250))) for x in range(0, 15): self.walkFoward.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaFWalk4.png'), (130, 250))) for x in range(0, 15): self.walkFoward.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaFWalk5.png'), (130, 250))) for x in range(0, 15): self.walkFoward.append(pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaFWalk6.png'), (130, 250))) #Inserts Gina's Backward walking animation. for x in range(0, 20): self.walkBackward.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/GinaBWalk1.png'), (130, 250))) for x in range(0, 20): self.walkBackward.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/GinaBWalk2.png'), (130, 250))) for x in range(0, 20): self.walkBackward.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/GinaBWalk3.png'), (130, 250))) for x in range(0, 20): self.walkBackward.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/GinaBWalk4.png'), (130, 250))) # Inserts Gina's standing A attack animation. for x in range(0, 2): self.stand_a_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandA1.png'), (130, 250) )) for x in range(0, 2): self.stand_a_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandA2.png'), (130, 250) )) for x in range(0, 6): self.stand_a_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandA3.png'), (150, 250) )) for x in range(0, 3): self.stand_a_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandA2.png'), (130, 250) )) # Inserts Gina's crouching A attack animation. for x in range(0, 4): self.crouch_a_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchA1.png'), (150, 250) )) for x in range(0, 4): self.crouch_a_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchA2.png'), (150, 250) )) for x in range(0, 6): self.crouch_a_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchA3.png'), (150, 250) )) for x in range(0, 6): self.crouch_a_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchA2.png'), (150, 250) )) # Inserts Gina's jumping A attack animation. for x in range(0, 10): self.jump_a_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaJumpA1.png'), (130, 250) )) # Inserts Gina's standing B attack animation for x in range(0, 3): self.stand_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandB1-1.png'), (200, 250) )) for x in range(0, 4): self.stand_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandB1.png'), (200, 250) )) for x in range(0, 6): self.stand_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandB2.png'), (200, 250) )) for x in range(0, 13): self.stand_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandB3.png'), (200, 250) )) for x in range(0, 7): self.stand_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandB4.png'), (200, 250) )) for x in range(0, 5): self.stand_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandB1.png'), (200, 250) )) for x in range(0, 3): self.stand_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandB1-1.png'), (200, 250) )) # Inserts Gina's crouching B attack animation for x in range(0, 8): self.crouch_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchB1.png'), (130, 250) )) for x in range(0, 6): self.crouch_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchB2.png'), (130, 250) )) for x in range(0, 6): self.crouch_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchB3.png'), (130, 250) )) for x in range(0, 8): self.crouch_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchB2.png'), (130, 250) )) for x in range(0, 8): self.crouch_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchB1.png'), (130, 250) )) # Inserts Gina's jumping B attack animation for x in range(0, 4): self.jump_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaJumpB1.png'), (230, 250) )) for x in range(0, 12): self.jump_b_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaJumpB2.png'), (230, 250) )) # Inserts Gina's standing C attack animation for x in range(0, 4): self.stand_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandC1.png'), (130, 250) )) for x in range(0, 8): self.stand_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandC2.png'), (160, 250) )) for x in range(0, 9): self.stand_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandC3.png'), (160, 250) )) for x in range(0, 8): self.stand_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandC4.png'), (130, 250) )) for x in range(0, 10): self.stand_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaStandC5.png'), (130, 250) )) # Inserts Gina's crouching C attack animation for x in range(0, 6): self.crouch_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchC1.png'), (230, 250) )) for x in range(0, 8): self.crouch_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchC3.png'), (230, 250) )) for x in range(0, 10): self.crouch_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchC4.png'), (230, 250) )) for x in range(0, 10): self.crouch_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaCrouchC3.png'), (230, 250) )) # Inserts Gina's jump C attack animation for x in range(0, 10): self.jump_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaJumpC1.png'), (170, 250) )) for x in range(0, 5): self.jump_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaJumpC2.png'), (170, 250) )) for x in range(0, 5): self.jump_c_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaJumpC3.png'), (170, 250) )) # Inserts Gina's wakeup animation for x in range(0, 30): self.wakeup_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/GinaKnockdown.png'), (240, 130) )) for x in range(0, 20): self.wakeup_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/GinaWakeUp1.png'), (240, 180) )) for x in range(0, 20): self.wakeup_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/GinaWakeUp2.png'), (250, 180) )) # Inserts Gina's grab animation for x in range(0, 8): self.grab_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaGrab1.png'), (190, 250) )) for x in range(0, 8): self.grab_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaGrab2.png'), (190, 250) )) for x in range(0, 8): self.grab_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaGrab3.png'), (190, 250) )) # Inserts Gina's Hurt animation for x in range(0, 1): self.hurt_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/GinaHurt1.png'), (130, 250) )) # Inserts Gina's special one animation for x in range(0, 8): self.special_one_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaFireBall1.png'), (190, 250) )) for x in range(0, 8): self.special_one_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaFireBall2.png'), (190, 250) )) for x in range(0, 8): self.special_one_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaFireBall3.png'), (190, 250) )) for x in range(0, 12): self.special_one_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/Attacks/GinaFireBall4.png'), (190, 250) )) # Inserts Gina's Hurt animation for x in range(0, 1): self.hurt_animation.append(pygame.transform.scale( pygame.image.load('Sprites/Gina/GinaHurt1.png'), (130, 250) )) # ---------------------------------------------------------------------------------------------------------------- def update_hurt_box(self, player): """ This class updates the character's hurtbox as the battle goes on. Depending on her current action, the hurtbox's size and position will constantly change. :param player: :return: """ # Assigns initial hurtboxes and hitboxes for the character... self.hurt_box.clear() if player.facingRight: if not player.setAction: if player.crouching: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 70, self.rect.width, self.rect.height - 20)) else: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.got_air_hit: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value , player.y + 30, self.rect.width + 10, self.rect.height - 30)) elif player.got_hit: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.getting_up: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.isBackDashing: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.grabbing: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.grabbed: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.isDashing: self.hurt_box.append(HurtBox(player.x + 70 + player.off_set_value , player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.isJumping or player.isDescending: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 30, self.rect.width + 10, self.rect.height - 30)) elif player.special_one: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.attack_a: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.crouch_attack_a: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 70, self.rect.width, self.rect.height - 20)) elif player.attack_b: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.crouch_attack_b: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 70, self.rect.width, self.rect.height - 20)) elif player.attack_c: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.crouch_attack_c: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 120, self.rect.width, self.rect.height - 50)) elif player.loser: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value , player.y + 70, self.rect.width, self.rect.height - 20)) elif player.winner: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) else: if not player.setAction: if player.crouching: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 70, self.rect.width, self.rect.height - 20)) else: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.got_air_hit: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value , player.y + 30, self.rect.width + 10, self.rect.height - 30)) elif player.got_hit: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.getting_up: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.isBackDashing: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.grabbing: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.grabbed: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.isDashing: self.hurt_box.append(HurtBox( (player.x + 20)+ player.off_set_value , (player.y + 30), self.rect.width + 10, self.rect.height + 30)) elif player.isJumping or player.isDescending: self.hurt_box.append(HurtBox( (player.x + 20) + player.off_set_value , (player.y + 30), self.rect.width + 10, self.rect.height - 30)) elif player.special_one: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.attack_a: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.crouch_attack_a: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 70, self.rect.width, self.rect.height - 20)) elif player.attack_b: self.hurt_box.append(HurtBox(player.x + 180 - player.off_set_value , player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.crouch_attack_b: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 70, self.rect.width, self.rect.height - 20)) elif player.attack_c: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 30, self.rect.width + 10, self.rect.height + 30)) elif player.crouch_attack_c: self.hurt_box.append(HurtBox(player.x + 20 + player.off_set_value , player.y + 120, self.rect.width, self.rect.height - 50)) elif player.loser: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value , player.y + 70, self.rect.width, self.rect.height - 20)) elif player.winner: self.hurt_box.append(InvincibleBox(player.x + 20 + player.off_set_value, player.y + 30, self.rect.width + 10, self.rect.height + 30)) if len(self.hurt_box) > 0: player.collision_x = self.hurt_box[0].rect.x player.collision_width = self.hurt_box[0].rect.width # ----------------------------------------------------------------------------------------------------------------- def win_state(self, player): """ Plays the win animation where the character has won the battle. :param player: :return: """ if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.multiplier == 1: if player.index > len(player.character.victory_animation)-1: player.index = 0 player.finish_win_animation = True else: player.character.image = player.character.victory_animation[player.index] else: if player.index > len(player.character.victory_animation)-1: player.index = 0 player.finish_win_animation = True else: player.character.image =\ pygame.transform.flip(player.character.victory_animation[player.index], True, False) player.index += 1 def lose_state(self, player, two): """ Plays the lose animation or defeat animation when the character's hp is gone or if their hp is less than the opponent when time runs out. :param player: :param two: :return: """ if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.multiplier == 1: if player.health_points > 0: if player.index >= len(player.character.defeat_animation)-1: player.index = len(player.character.defeat_animation)-1 player.finish_lose_animation = True two.winner = True else: player.character.image = player.character.defeat_animation[player.index] player.index += 1 else: if player.index >= len(player.character.crumble_animation)-1: player.index = len(player.character.crumble_animation)-1 player.finish_lose_animation = True two.winner = True else: if player.index == 0: player.y = player.yOriginal if player.index == 30: player.y = player.yKnockdown player.character.image = player.character.crumble_animation[player.index] player.index += 1 else: if player.health_points > 0: if player.index >= len(player.character.defeat_animation)-1: player.index = len(player.character.defeat_animation)-1 player.finish_lose_animation = True two.winner = True else: player.character.image =\ pygame.transform.flip(player.character.defeat_animation[player.index], True, False) player.index += 1 else: if player.index >= len(player.character.crumble_animation)-1: player.index = len(player.character.crumble_animation)-1 player.finish_lose_animation = True two.winner = True else: if player.index == 0: player.y = player.yOriginal if player.index == 30: player.y = player.yKnockdown player.character.image =\ pygame.transform.flip(player.character.crumble_animation[player.index], True, False) player.index += 1 # ----------------------------------------------------------------------------------------------------------------- def stand_a(self, player): """ Plays the character's Stand A attack and updates hit box. :param player: :return: """ if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.multiplier == 1: if player.index > len(player.character.stand_a_animation)-1: player.index = 0 else: if player.index > 8 and player.index < 10 and player.hit_box_fill_once is not True: stand_a_hit_box = HitBox(player.x + 100, player.y + 80, 50, 50, damage=5, hitstun=8, knockback= 3, knockdown= False, blocktype='stand', attack_level=1) self.hit_box.append(stand_a_hit_box) player.hit_box_fill_once = True player.character.image = player.character.stand_a_animation[player.index] player.index += 1 else: if player.index > len(player.character.stand_a_animation)-1: player.index = 0 else: if player.index >= 4 and player.index <= 9: if player.off_set is False: player.x -= 17 player.off_set = True player.off_set_value = 17 else: if player.off_set is True: player.x += 17 player.off_set = False player.off_set_value = 0 if player.index > 8 and player.index < 10 and player.hit_box_fill_once is not True: stand_a_hit_box = HitBox(player.x - 20 + player.off_set_value, player.y + 80, 50, 50, damage=5, hitstun=8, knockback= 3,knockdown= False, blocktype='stand', attack_level=1) self.hit_box.append(stand_a_hit_box) player.hit_box_fill_once = True player.character.image = \ pygame.transform.flip(player.character.stand_a_animation[player.index], True, False) player.index += 1 if player.index > 12: self.hit_box.clear() if player.index >= len(player.character.stand_a_animation): player.setAction = False player.attack_a = False player.hit_box_fill_once = False def crouch_a(self, player): """ Plays the character's Crouch A attack and updates hit box. :param player: :return: """ if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.multiplier == 1: if player.index > len(player.character.crouch_a_animation)-1: player.index = 0 else: if player.index == 7: player.x += 4 if player.index > 10 and player.index < 12 and player.hit_box_fill_once is not True: stand_a_hit_box = HitBox(player.x + 100, player.y + 100, 70, 50, damage=5, hitstun=16, knockback= 2, knockdown= False, blocktype='crouch',attack_level=1) self.hit_box.append(stand_a_hit_box) player.hit_box_fill_once = True player.character.image = player.character.crouch_a_animation[player.index] player.index += 1 else: if player.index > len(player.character.crouch_a_animation)-1: player.index = 0 else: if player.index >= 0 and player.index < len(player.character.crouch_a_animation)-1: if player.off_set is False: player.x -= 20 player.off_set = True player.off_set_value = 20 else: if player.off_set is True: player.x += 20 player.off_set = False player.off_set_value = 0 if player.index == 7: player.x -= 4 if player.index > 10 and player.index < 12 and player.hit_box_fill_once is not True: stand_a_hit_box = HitBox(player.x - 20 + player.off_set_value, player.y + 100, 70, 50, damage=5, hitstun=16, knockback= 2,knockdown= False, blocktype='crouch', attack_level=1) self.hit_box.append(stand_a_hit_box) player.hit_box_fill_once = True player.character.image = \ pygame.transform.flip(player.character.crouch_a_animation[player.index], True, False) player.index += 1 if player.index > 12: self.hit_box.clear() if player.index >= len(player.character.crouch_a_animation): player.setAction = False pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaCrouch1.png'), (130, 250)) , True, False) player.crouch_attack_a = False player.hit_box_fill_once = False def jump_a(self, player): """ Plays the character's Jump A attack and updates hit box. :param player: :return: """ self.hit_box.clear() if player.index > len(player.character.jump_a_animation)-1: player.index = 0 else: if player.multiplier == 1: player.character.image = player.character.jump_a_animation[player.index] if player.index >= 0 and player.index < 5 and player.hit_box_fill_once is False: jump_a_hit_box = HitBox(player.x + 100 + player.off_set_value, player.y - 10, 50, 50, damage=5, hitstun=8, knockback= 3,knockdown= False, blocktype='overhead', attack_level=1) self.hit_box.append(jump_a_hit_box) # player.hit_box_fill_once = True else: player.character.image = \ pygame.transform.flip(player.character.jump_a_animation[player.index],True, False) if player.index >= 0 and player.index < 5 and player.hit_box_fill_once is False: jump_a_hit_box = HitBox(player.x - 20 + player.off_set_value, player.y - 10, 50, 50, damage=5, hitstun=8, knockback= 3,knockdown= False, blocktype='overhead' ,attack_level=1) self.hit_box.append(jump_a_hit_box) # player.hit_box_fill_once = True player.index += 1 if player.index > len(player.character.jump_a_animation)-1: player.jump_attack_a = False player.air_attack_once = True player.hit_box_fill_once = False def stand_b(self, player): """ Plays the character's Stand B attack and updates hit box. :param player: :return: """ if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.multiplier == 1: if player.index > len(player.character.stand_b_animation): player.index = 0 else: if player.index == 5: player.x += 10 if player.index > 9 and player.index < 18 and player.hit_box_fill_once is not True: stand_b_hit_box = HitBox(player.x + 160, player.y + 120, 50, 50, damage=15, hitstun=20, knockback= 4, knockdown= False, blocktype='stand', attack_level=2) self.hit_box.append(stand_b_hit_box) player.hit_box_fill_once = True if player.index > 7 and player.index < 20: self.hurt_box.append(DamageBox(player.x + 130 + player.off_set_value, player.y + 120, 100, 60)) player.character.image = player.character.stand_b_animation[player.index] if player.index == 34: player.x -= 10 player.index += 1 if player.index > 19: self.hit_box.clear() else: if player.index == 5: player.x -= 10 if player.index >= 0 and player.index < len(player.character.stand_b_animation)-1: if player.off_set is False: player.x -= 85 player.off_set = True player.off_set_value = 85 else: if player.off_set is True: player.x += 85 player.off_set = False player.off_set_value = 0 if player.index >= 9 and player.index < 18 and player.hit_box_fill_once is not True: stand_b_hit_box = HitBox(player.x - 90 + player.off_set_value, player.y + 120, 50, 50, damage=15, hitstun=20, knockback= 4,knockdown= False, blocktype='stand' ,attack_level=2) self.hit_box.append(stand_b_hit_box) player.hit_box_fill_once = True if player.index > 7 and player.index < 20: self.hurt_box.append(DamageBox(player.x - 115 + player.off_set_value, player.y + 120, 100, 60)) if player.index > len(player.character.stand_b_animation) - 1: player.character.image = \ pygame.transform.flip(player.character.stand_b_animation[player.index-2], True, False) else: player.character.image = \ pygame.transform.flip(player.character.stand_b_animation[player.index], True, False) if player.index == 34: player.x += 10 if player.index > 19: self.hit_box.clear() player.index += 1 if player.index > len(player.character.stand_b_animation)-1: player.character.image = \ pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaStand1.png'), (130, 250)) , True, False) player.setAction = False player.off_set = False player.off_set_value = 0 player.attack_b = False player.hit_box_fill_once = False def crouch_b(self, player): """ Plays the character's Crouch B attack and updates hit box. :param player: :return: """ if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.multiplier == 1: if player.index > len(player.character.crouch_b_animation)-1: player.index = 0 else: if player.index > 12 and player.index < 18 and player.hit_box_fill_once is not True: stand_a_hit_box = HitBox(player.x + 70, player.y, 80, 100, damage=15, hitstun=12, knockback= 3, knockdown= False, blocktype='stand',attack_level=1) self.hit_box.append(stand_a_hit_box) player.hit_box_fill_once = True player.character.image = player.character.crouch_b_animation[player.index] player.index += 1 else: if player.index > len(player.character.crouch_b_animation)-1: player.index = 0 else: if player.index >= 12 and player.index <= 18: if player.off_set is False: player.x -= 0 player.off_set = True player.off_set_value = 0 else: if player.off_set is True: player.x += 0 player.off_set = False player.off_set_value = 0 if player.index > 12 and player.index < 18 and player.hit_box_fill_once is not True: crouch_b_hit_box = HitBox(player.x - 20 + player.off_set_value, player.y, 80, 100, damage=15, hitstun=12, knockback= 3,knockdown= False, blocktype='stand' ,attack_level=1) self.hit_box.append(crouch_b_hit_box) player.hit_box_fill_once = True player.character.image = \ pygame.transform.flip(player.character.crouch_b_animation[player.index], True, False) player.index += 1 if player.index > 18: self.hit_box.clear() if player.index >= len(player.character.crouch_b_animation): player.setAction = False player.crouch_attack_b = False player.hit_box_fill_once = False def jump_b(self, player): """ Plays the character's Jump B attack and updates hit box. :param player: :return: """ self.hit_box.clear() if player.index > len(player.character.jump_b_animation)-1: player.index = 0 else: if player.multiplier == 1: player.character.image = player.character.jump_b_animation[player.index] if player.index >= 6 and player.index < 12 and player.hit_box_fill_once is False \ and player.hit_confirm is False: jump_b_hit_box = HitBox(player.x + 120 + player.off_set_value, player.y + 130, 100, 50, damage=5, hitstun=12, knockback= 4,knockdown= False, blocktype='overhead' ,attack_level=2) jump_b_hit_box_2 = HitBox(player.x + player.off_set_value, player.y + 170, 50, 50, damage=5, hitstun=12, knockback= 4,knockdown= False, blocktype='overhead' ,attack_level=2) self.hit_box.append(jump_b_hit_box) self.hit_box.append(jump_b_hit_box_2) # player.hit_box_fill_once = True if player.index > 6 and player.index < len(player.character.jump_b_animation)-1: self.hurt_box.append(DamageBox(player.x + 110 + player.off_set_value, player.y + 130, 80, 60)) else: if player.index >= 0 and player.index < len(player.character.jump_b_animation)-1: if player.off_set is False: player.x -= 100 player.off_set = True player.off_set_value = 100 else: if player.off_set is True: player.x += 100 player.off_set = False player.off_set_value = 0 player.character.image = \ pygame.transform.flip(player.character.jump_b_animation[player.index],True, False) if player.index >= 6 and player.index < 12 and player.hit_box_fill_once is False \ and player.hit_confirm is False: jump_b_hit_box = HitBox(player.x - 70 + player.off_set_value, player.y + 130, 100, 50, damage=5, hitstun=12, knockback= 4,knockdown= False, blocktype='overhead' ,attack_level=2) jump_b_hit_box_2 = HitBox(player.x + 80 + player.off_set_value, player.y + 170, 50, 50, damage=5, hitstun=12, knockback= 4,knockdown= False, blocktype='overhead' ,attack_level=2) self.hit_box.append(jump_b_hit_box) self.hit_box.append(jump_b_hit_box_2) # player.hit_box_fill_once = True if player.index > 6 and player.index < len(player.character.jump_b_animation)-1: self.hurt_box.append(DamageBox(player.x - 80 + player.off_set_value, player.y + 130, 80, 60)) player.index += 1 if player.index > len(player.character.jump_b_animation)-1: if player.multiplier == 1: player.character.image = pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250)), True, False) player.off_set = False player.jump_attack_b = False player.air_attack_once = True player.hit_box_fill_once = False def stand_c(self, player): """ Plays the character's Stand C attack and updates hit box. :param player: :return: """ if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.multiplier == 1: if player.index > len(player.character.stand_c_animation)-1: player.index = 0 else: if player.index > 13 and player.index < 25 and player.hit_box_fill_once is not True: stand_c_hit_box_1 = HitBox(player.x + 100, player.y + 50, 80, 70, damage=20, hitstun=12, knockback= 3, knockdown= False, blocktype='stand', attack_level=3) self.hit_box.append(stand_c_hit_box_1) player.hit_box_fill_once = True if player.index > 26 and player.index < 34 and player.hit_box_fill_twice is not True: stand_c_hit_box_2 = HitBox(player.x + 110, player.y + 40, 80, 70, damage=20, hitstun=12, knockback= -3, knockdown= False, blocktype='stand', attack_level=3) self.hit_box.append(stand_c_hit_box_2) player.hit_box_fill_twice = True if player.index > 10 and player.index < 35: self.hurt_box.append(DamageBox(player.x + 100 + player.off_set_value, player.y + 55, 100, 60)) player.character.image = player.character.stand_c_animation[player.index] player.index += 1 else: if player.index > len(player.character.stand_c_animation)-1: player.index = 0 else: if player.index >= 4 and player.index <= 20: if player.off_set is False: player.x -= 20 player.off_set = True player.off_set_value = 20 else: if player.off_set is True: player.x += 20 player.off_set = False player.off_set_value = 0 if player.index > 13 and player.index < 25 and player.hit_box_fill_once is not True: stand_c_hit_box_1 = HitBox(player.x - 40 + player.off_set_value, player.y + 50, 80, 70, damage=5, hitstun=12, knockback= 3,knockdown= False, blocktype='stand' ,attack_level=3) self.hit_box.append(stand_c_hit_box_1) player.hit_box_fill_once = True if player.index > 26 and player.index < 34 and player.hit_box_fill_twice is not True: stand_c_hit_box_2 = HitBox(player.x - 50 + player.off_set_value, player.y + 40, 80, 70, damage=20, hitstun=12, knockback= -3, knockdown= False, blocktype='stand', attack_level=3) self.hit_box.append(stand_c_hit_box_2) player.hit_box_fill_twice = True if player.index > 10 and player.index < 35: self.hurt_box.append(DamageBox(player.x - 60 + player.off_set_value, player.y + 55, 100, 60)) player.character.image = \ pygame.transform.flip(player.character.stand_c_animation[player.index], True, False) player.index += 1 if player.index > 35: self.hit_box.clear() if player.index >= len(player.character.stand_c_animation): player.setAction = False player.attack_c = False player.hit_box_fill_once = False player.hit_box_fill_twice = False def crouch_c(self, player): """ Plays the character's Crouch C attack and updates hit box. :param player: :return: """ if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.multiplier == 1: if player.index > len(player.character.crouch_c_animation)-1: player.index = 0 if player.index >= 14 and player.index <= 24 and player.hit_box_fill_once is not True: crouch_c_hit_box_1 = HitBox(player.x + 130, player.y + 200, 100, 20, damage=14, hitstun=15, knockback= 3, knockdown= True, blocktype='sweep', attack_level=3) self.hit_box.append(crouch_c_hit_box_1) player.hit_box_fill_once = True player.character.image = player.character.crouch_c_animation[player.index] player.index += 1 else: if player.index > len(player.character.crouch_c_animation)-1: player.index = 0 if player.index >= 0 and player.index < len(player.character.crouch_c_animation)-1: if player.off_set is False: player.x -= 100 player.off_set = True player.off_set_value = 100 else: if player.off_set is True: player.x += 100 player.off_set = False player.off_set_value = 0 if player.index >= 14 and player.index <= 24 and player.hit_box_fill_once is not True: crouch_c_hit_box_1 = HitBox(player.x, player.y + 200, 100, 20, damage=14, hitstun=15, knockback= 3, knockdown= True, blocktype='sweep', attack_level=3) self.hit_box.append(crouch_c_hit_box_1) player.hit_box_fill_once = True player.character.image = \ pygame.transform.flip(player.character.crouch_c_animation[player.index], True, False) player.index += 1 if player.index > 24: self.hit_box.clear() if player.index > len(player.character.crouch_c_animation)-1: if player.multiplier == 1: player.character.image = player.character.crouching[0] else: player.character.image = \ pygame.transform.flip(player.character.crouching[0], True, False) player.setAction = False player.crouch_attack_c = False player.hit_box_fill_once = False def jump_c(self, player): """ Plays the character's Jump C attack and updates hit box. :param player: :return: """ self.hit_box.clear() if player.index > len(player.character.jump_c_animation)-1: player.index = 0 else: if player.multiplier == 1: player.character.image = player.character.jump_c_animation[player.index] if player.index >= 15 and player.index < len(player.character.jump_c_animation)-1 \ and player.hit_box_fill_once is False and player.hit_confirm is False: jump_c_hitbox = HitBox(player.x + 80 + player.off_set_value, player.y + 150, 50, 70, damage=10, hitstun=15, knockback= 5,knockdown= False, blocktype='overhead' ,attack_level=3) self.hit_box.append(jump_c_hitbox) else: if player.index >= 0 and player.index < len(player.character.jump_c_animation)-1: if player.off_set is False: player.off_set = True player.off_set_value = 40 player.x -= 40 else: if player.off_set is True: player.off_set = False player.off_set_value = 0 player.x += 40 if player.index >= 15 and player.index < len(player.character.jump_c_animation)-1 \ and player.hit_box_fill_once is False and player.hit_confirm is False: jump_c_hitbox = HitBox(player.x - 30 + player.off_set_value, player.y + 150, 50, 70, damage=10, hitstun=15, knockback= 5,knockdown= False, blocktype='overhead' ,attack_level=3) self.hit_box.append(jump_c_hitbox) player.character.image = pygame.transform.flip(player.character.jump_c_animation[player.index] , True, False) player.index += 1 if player.index > 16 and player.index < len(player.character.jump_c_animation)-1: player.y -= 6 if player.index > len(player.character.jump_c_animation)-1: if player.multiplier == 1: player.character.image = pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250)), True, False) player.off_set = False player.jump_attack_c = False player.air_attack_once = True player.hit_box_fill_once = False if player.isJumping: player.isJumping = False player.isDescending = True def grab_attack(self, player): """ Plays the character's grab attack and updates grab box. :param player: :return: """ if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.index > len(player.character.grab_animation)-1: player.index = 0 else: if player.multiplier == 1: player.character.image = player.character.grab_animation[player.index] if player.index >= 16 and player.index < len(player.character.grab_animation)-1: grab_box = GrabBox(player.x + 100 + player.off_set_value, player.y + 80, 30, 30) self.hit_box.append(grab_box) else: if player.index >= 0 and player.index < len(player.character.grab_animation)-1: if player.off_set is False: player.off_set = True player.off_set_value = 60 player.x -= 60 else: if player.off_set is True: player.off_set = False player.off_set_value = 0 player.x += 60 player.character.image = pygame.transform.flip(player.character.grab_animation[player.index] , True, False) if player.index >= 16 and player.index < len(player.character.grab_animation)-1: grab_box = GrabBox(player.x + player.off_set_value, player.y + 80, 30, 30) self.hit_box.append(grab_box) player.index += 1 if player.index > 20: self.hit_box.clear() if player.index > len(player.character.grab_animation)-1: if player.multiplier == 1: player.character.image = player.character.standing[0] else: player.character.image = pygame.transform.flip(player.character.standing[0], True, False) player.setAction = False player.off_set = False player.off_set_value = 0 player.grabbing = False player.hit_box_fill_once = False def throw_attack(self, player, two): """ Plays the character's throw and updates the opposing player's state after the throw. :param player: :param two: :return: """ if player.off_set: player.x += player.off_set_value player.off_set = False player.off_set_value = 0 if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.multiplier == 1: if two.off_set is False: two.y += 130 two.health_points -= 8 two.off_set = True player.character.image = \ pygame.transform.scale(pygame.image.load ('Sprites/Gina/GinaCrouch1.png'), (130, 250)) two.character.image = \ pygame.transform.flip(two.character.wakeup_animation[0], True, False) if player.animation_fill_once is False: self.effects_animation.append(ThrowDust(player.x + 50, player.y)) player.animation_fill_once = True else: if two.off_set is False: two.y += 130 two.health_points -= 8 two.off_set = True player.character.image = \ pygame.transform.flip(pygame.transform.scale(pygame.image.load ('Sprites/Gina/GinaCrouch1.png'), (130, 250)), True, False) two.character.image = two.character.wakeup_animation[0] if player.animation_fill_once is False: self.effects_animation.append(ThrowDust(player.x - 120, player.y)) player.animation_fill_once = True player.index += 1 if player.index > 40: self.hit_box.clear() player.setAction = False player.animation_fill_once = False player.throw = False two.setAction = False two.grabbed = False two.getting_up = True two.off_set = False two.timer = 1 # ----------------------------------------------------------------------------------------------------------------- def special_one(self, player): """ Plays the character's special attack one and updates hit box. :param player: :return: """ if player.setAction is False: if player.facingRight is True: player.multiplier = 1 else: player.multiplier = -1 player.index = 0 player.setAction = True if player.index > len(player.character.special_one_animation)-1: player.index = 0 else: if player.multiplier == 1: player.character.image = player.character.special_one_animation[player.index] if player.index >= 24 and player.index < len(player.character.special_one_animation)-1\ and player.hit_box_fill_once is False and player.meter_points >= 20: special_box = GinaFireBall(100, player.x + self.rect.width, player.y + 50, 80, 80, damage=12, hitstun=10, knockback= 3,knockdown= False, blocktype='stand' ,attack_level=2) self.hit_box.append(special_box) player.hit_box_fill_once = True player.meter_points -= 20 else: if player.index >= 0 and player.index < len(player.character.special_one_animation)-1: if player.off_set is False: player.off_set = True player.off_set_value = 40 player.x -= 40 else: if player.off_set is True: player.off_set = False player.off_set_value = 0 player.x += 40 player.character.image = pygame.transform.flip(player.character.special_one_animation[player.index] , True, False) if player.index >= 24 and player.index < len(player.character.special_one_animation)-1\ and player.hit_box_fill_once is False and player.meter_points >= 20: special_box = GinaFireBall(-100, player.x, player.y + 50, 80, 80, damage=12, hitstun=10, knockback= 3,knockdown= False, blocktype='stand' ,attack_level=2) self.hit_box.append(special_box) player.hit_box_fill_once = True player.meter_points -= 20 player.index += 1 if player.index > len(player.character.special_one_animation)-1: if player.multiplier == 1: player.character.image = player.character.standing[0] else: player.character.image = pygame.transform.flip(player.character.standing[0], True, False) player.setAction = False player.special_one = False player.hit_box_fill_once = False # ----------------------------------------------------------------------------------------------------------------- def being_damaged(self, player): """ Plays the character's damaged animation and updates their hurt box. :param player: :return: """ if player.facingRight and not player.setAction: player.multiplier = -1 player.setAction = True elif not player.facingRight and not player.setAction: player.multiplier = 1 player.setAction = True if player.multiplier == -1: if player.hitstun > player.max_hitstun/2: if player.animation_fill_once is False: self.effects_animation.append(DamageAnimation(player.x, player.y - 150, True, player.attack_level)) player.animation_fill_once = True player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaHurt1.png'), (130, 250)) else: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaHurt2.png'), (130, 250)) player.hitstun -= 1 else: if player.hitstun > player.max_hitstun/2: if player.animation_fill_once is False: self.effects_animation.append(DamageAnimation(player.x - 100, player.y - 150, False , player.attack_level)) player.animation_fill_once = True player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaHurt1.png'), (130, 250)), True, False) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaHurt2.png'), (130, 250)), True, False) player.hitstun -= 1 player.x += player.knockback * player.multiplier if player.hitstun <= 0: if player.knockdown is True: if player.loser is False: player.y = player.yKnockdown if player.facingRight: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaKnockdown.png'), (250, 130)) player.getting_up = True else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaKnockdown.png'), (250, 130)), True, False) player.getting_up = True player.got_hit = False player.animation_fill_once = False player.setAction = False player.hitstun = 0 player.max_hitstun = 0 player.knockback = 0 player.attack_level = 0 def being_air_damaged(self, player): """ Plays the character's damaged animation in the air and updates their hurt box. :param player: :return: """ if player.facingRight and not player.setAction: player.isJumping = False player.isDescending = False player.multiplier = -1 player.setAction = True elif not player.facingRight and not player.setAction: player.isJumping = False player.isDescending = False player.multiplier = 1 player.setAction = True if player.facingRight: if player.animation_fill_once is False: self.effects_animation.append(DamageAnimation(player.x, player.y - 150, False, player.attack_level)) player.animation_fill_once = True if player.hitstun > player.max_hitstun/2: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaHurt1.png'), (130, 250)) player.y -= 7 player.current_jump += 15 elif player.hitstun > player.max_hitstun/4 and player.hitstun < player.max_hitstun/2: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaHurt2.png'), (130, 250)) elif player.hitstun < player.max_hitstun/4: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaAirHurt.png'), (150, 280)) player.y += 7 player.current_jump -= 8 player.hitstun -= 1 else: if player.animation_fill_once is False: self.effects_animation.append(DamageAnimation(player.x - 100, player.y - 150, False , player.attack_level)) player.animation_fill_once = True if player.hitstun > player.max_hitstun/2: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaHurt1.png'), (130, 250)), True, False) player.y -= 7 player.current_jump += 15 elif player.hitstun > player.max_hitstun/4 and player.hitstun < player.max_hitstun/2: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaHurt2.png'), (130, 250)), True, False) elif player.hitstun < player.max_hitstun/4: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaAirHurt.png'), (150, 280)), True, False) player.y += 7 player.current_jump -= 8 player.hitstun -= 1 player.x += player.knockback * 1.5 * player.multiplier if player.current_jump <= 0: player.knockdown = True if player.facingRight: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaKnockdown.png'), (250, 130)) player.getting_up = True else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaKnockdown.png'), (250, 130)), True, False) player.getting_up = True player.current_jump = 0 if player.loser is False: player.y = player.yKnockdown player.animation_fill_once = False player.got_air_hit = False player.setAction = False player.isJumping = False player.neutral_jumping = False player.forward_jumping = False player.back_jumping = False player.isDescending = False player.hitstun = 0 player.max_hitstun = 0 player.knockback = 0 def wake_up(self, player): """ Plays the character's wake up animation and updates their hurt box. :param player: :return: """ if player.facingRight and not player.setAction: player.index = 0 player.multiplier = 1 player.setAction = True elif not player.facingRight and not player.setAction: player.index = 0 player.multiplier = -1 player.setAction = True if player.facingRight: if player.index > len(player.character.wakeup_animation)-1: player.index = 0 else: if player.index >= 0 and player.index < 30: self.hurt_box.append(InvincibleBox(player.x + 50 + player.off_set_value , player.y, self.rect.width + 30, self.rect.height - 50)) elif player.index >= 30 and player.index < len(player.character.wakeup_animation)-1: self.hurt_box.append(InvincibleBox(player.x + 30 + player.off_set_value , player.y, self.rect.width + 30, self.rect.height - 50)) if player.index >= 30 and player.index < len(player.character.wakeup_animation)-1: if player.off_set is False: player.y -= 60 player.off_set = True player.off_set_value = 0 else: if player.off_set is True: player.y += 60 player.off_set = False player.off_set_value = 0 player.character.image = player.character.wakeup_animation[player.index] player.index += 1 else: if player.index > len(player.character.wakeup_animation)-1: player.index = 0 else: if player.index >= 0 and player.index < 30: self.hurt_box.append(InvincibleBox(player.x + 50 + player.off_set_value , player.y, self.rect.width + 30, self.rect.height - 50)) elif player.index >= 30 and player.index < len(player.character.wakeup_animation)-1: self.hurt_box.append(InvincibleBox(player.x + 30 + player.off_set_value , player.y, self.rect.width + 30, self.rect.height - 50)) if player.index >= 30 and player.index < len(player.character.wakeup_animation)-1: if player.off_set is False: player.y -= 60 player.x -= 50 player.off_set = True player.off_set_value = 50 else: if player.off_set is True: player.y += 60 player.x += 50 player.off_set = False player.off_set_value = 0 player.character.image = pygame.transform.flip( player.character.wakeup_animation[player.index], True, False) player.index += 1 if player.index > len(player.character.wakeup_animation) - 1: if player.facingRight: player.character.image = player.character.standing[0] else: player.character.image = pygame.transform.flip(player.character.standing[0], True, False) player.knockdown = False player.getting_up = False player.setAction = False player.y = player.yOriginal def being_blocked(self, player): """ Plays the character's block animation and updates their hurt box. :param player: :return: """ if player.facingRight and not player.setAction: player.multiplier = -1 player.setAction = True elif not player.facingRight and not player.setAction: player.multiplier = 1 player.setAction = True if player.facingRight: if player.hitstun > 0: if player.blockingLow: if player.animation_fill_once is False: self.effects_animation.append(BlockAnimation(player.x, player.y - 25, True)) player.animation_fill_once = True player.character.image = \ pygame.transform.scale(pygame.image.load ('Sprites/Gina/GinaCrouchBlock.png'), (130, 250)) else: if player.animation_fill_once is False: self.effects_animation.append(BlockAnimation(player.x, player.y - 50, True)) player.animation_fill_once = True player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaStandBlock.png'), (130, 250)) player.hitstun -= 1 else: if player.hitstun > 0: if player.blockingLow: if player.animation_fill_once is False: self.effects_animation.append(BlockAnimation(player.x - 80, player.y - 25, True)) player.animation_fill_once = True player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaCrouchBlock.png'), (130, 250)), True, False) else: if player.animation_fill_once is False: self.effects_animation.append(BlockAnimation(player.x - 80, player.y - 50, True)) player.animation_fill_once = True player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaStandBlock.png'), (130, 250)), True, False) player.hitstun -= 1 player.x += player.knockback * player.multiplier if player.hitstun <= 0: player.animation_fill_once = False player.block_hit = False player.setAction = False player.hitstun = 0 player.max_hitstun = 0 player.knockback = 0 def push_back_grab(self, player): """ Plays the character's animation when repeling a grab from the opposing enemy. :param player: :return: """ if player.off_set: player.x += player.off_set_value player.off_set = False player.off_set_value = 0 if player.facingRight and not player.setAction: player.index = 0 player.multiplier = -1 player.setAction = True elif not player.facingRight and not player.setAction: player.index = 0 player.multiplier = 1 player.setAction = True if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load ('Sprites/Gina/GinaHurt1.png'), (130, 250)) player.x -= 3 else: player.character.image = \ pygame.transform.flip(pygame.transform.scale(pygame.image.load ('Sprites/Gina/GinaHurt1.png'), (130, 250)), True, False) player.x += 3 player.index += 1 if player.index > 25: self.hit_box.clear() player.setAction = False player.push_back = False # ----------------------------------------------------------------------------------------------------------------- def jumping(self, player): """ Plays either the character's jump animation in neutral, forward or backwards. This method also checks to see if the player is currently attacking in the air. :param player: :return: """ if player.facingRight and not player.setAction: player.index = 0 player.multiplier = 1 player.setAction = True elif not player.facingRight and not player.setAction: player.index = 0 player.multiplier = -1 player.setAction = True momentum = 1 if player.jump_attack_c is True: momentum = 0 else: momentum = 1 if player.back_jumping: if player.isJumping: if player.current_jump < len(player.character.jump)/6: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump1.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump1.png'), (130, 250)), True, False) player.y -= 0 * momentum elif player.current_jump > len(player.character.jump)/6 and \ player.current_jump < len(player.character.jump)/4: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump2.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump2.png'), (130, 250)), True, False) player.y -= 12.2* momentum player.x -= 10* momentum elif player.current_jump > len(player.character.jump)/4 and \ player.current_jump < len(player.character.jump)/1.7: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)), True, False) player.y -= 18.1* momentum player.x -= 8* momentum elif player.current_jump > len(player.character.jump)/1.7 and \ player.current_jump < len(player.character.jump): if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250)), True, False) player.y -= 15.3* momentum player.x -= 7* momentum elif player.current_jump > len(player.character.jump): player.y -= 12.1* momentum player.current_jump += 12.0* momentum elif player.isDescending: if player.current_jump < len(player.character.jump) and \ player.current_jump > len(player.character.jump)/1.7: player.y += 10* momentum player.x -= 7* momentum elif player.current_jump < len(player.character.jump)/1.7 and \ player.current_jump > len(player.character.jump)/4: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)), True, False) player.y += 15* momentum player.x -= 6* momentum elif player.current_jump < len(player.character.jump)/4 and \ player.current_jump > len(player.character.jump)/6: player.y += 18* momentum player.x -= 5* momentum elif player.current_jump < len(player.character.jump)/6: player.y += 22* momentum player.current_jump -= 12.0* momentum elif player.forward_jumping: if player.isJumping: if player.current_jump < len(player.character.jump)/6: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump1.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump1.png'), (130, 250)), True, False) player.y -= 0* momentum elif player.current_jump > len(player.character.jump)/6 and \ player.current_jump < len(player.character.jump)/4: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump2.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump2.png'), (130, 250)), True, False) player.y -= 12.2* momentum player.x += 4* momentum elif player.current_jump > len(player.character.jump)/4 and \ player.current_jump < len(player.character.jump)/1.7: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)), True, False) player.y -= 17.1* momentum player.x += 6* momentum elif player.current_jump > len(player.character.jump)/1.7 and \ player.current_jump < len(player.character.jump): if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250)), True, False) player.y -= 15.3* momentum player.x += 8* momentum elif player.current_jump > len(player.character.jump): player.y -= 12.1* momentum player.current_jump += 12.0* momentum elif player.isDescending: if player.current_jump < len(player.character.jump) and \ player.current_jump > len(player.character.jump)/1.7: player.y += 10* momentum player.x += 8* momentum elif player.current_jump < len(player.character.jump)/1.7 and \ player.current_jump > len(player.character.jump)/4: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)), True, False) player.y += 15* momentum player.x += 6* momentum elif player.current_jump < len(player.character.jump)/4 and \ player.current_jump > len(player.character.jump)/6: player.y += 18* momentum player.x += 4* momentum elif player.current_jump < len(player.character.jump)/6: player.y += 22* momentum player.current_jump -= 12.0* momentum elif player.neutral_jumping: if player.isJumping: if player.current_jump < len(player.character.jump)/6: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump1.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump1.png'), (130, 250)), True, False) player.y -= 0* momentum elif player.current_jump > len(player.character.jump)/6 and \ player.current_jump < len(player.character.jump)/4: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump2.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump2.png'), (130, 250)), True, False) player.y -= 12.2* momentum elif player.current_jump > len(player.character.jump)/4 and \ player.current_jump < len(player.character.jump)/1.7: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)), True, False) player.y -= 17.1* momentum elif player.current_jump > len(player.character.jump)/1.7 and \ player.current_jump < len(player.character.jump): if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump4.png'), (130, 250)), True, False) player.y -= 15.3* momentum elif player.current_jump > len(player.character.jump): player.y -= 12.1* momentum player.current_jump += 12.0* momentum elif player.isDescending: if player.current_jump < len(player.character.jump) and \ player.current_jump > len(player.character.jump)/1.7: player.y += 10* momentum elif player.current_jump < len(player.character.jump)/1.7 and \ player.current_jump > len(player.character.jump)/4: if player.multiplier == 1: player.character.image = \ pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)) else: player.character.image = pygame.transform.flip( pygame.transform.scale(pygame.image.load('Sprites/Gina/GinaJump3.png'), (130, 250)), True, False) player.y += 15* momentum elif player.current_jump < len(player.character.jump)/4 and \ player.current_jump > len(player.character.jump)/6: player.y += 18* momentum elif player.current_jump < len(player.character.jump)/6: player.y += 22* momentum player.current_jump -= 12.0* momentum if player.jump_attack_a and player.air_attack_once is False: self.jump_a(player) if player.jump_attack_b and player.air_attack_once is False: self.jump_b(player) if player.jump_attack_c and player.air_attack_once is False: self.jump_c(player) if player.current_jump >= len(player.character.jump) and player.isJumping: player.isJumping = False player.isDescending = True elif player.current_jump <= 0 and player.isDescending: if player.multiplier == 1: player.character.image = player.character.standing[0] else: player.character.image = pygame.transform.flip( player.character.standing[0], True, False) self.hit_box.clear() if player.off_set: player.off_set = False player.x += player.off_set_value player.off_set_value = 0 player.isDescending = False player.neutral_jumping = False player.forward_jumping = False player.back_jumping = False player.jump_attack_a = False player.jump_attack_b = False player.jump_attack_c = False player.air_attack_once = False player.hit_confirm = False player.setAction = False player.y = player.yOriginal player.current_jump = 0 def forward_dash(self, player): """ Plays the character's dash forward animation and updates their hurt box. :param player: :return: """ collide_multiplier = 1 if player.facingRight and not player.setAction: player.multiplier = 1 player.setAction = True elif not player.facingRight and not player.setAction: player.multiplier = -1 player.setAction = True if player.dash_collide is True: collide_multiplier = 0 if player.currentDash < len(player.character.dash)/2: player.x += 6.7*player.multiplier*collide_multiplier player.y -= .53 elif player.currentDash > len(player.character.dash)/2 and \ player.currentDash < len(player.character.dash)/1.5: player.x += 5.75*player.multiplier elif player.currentDash > len(player.character.dash)/1.5: player.x += 5.175*player.multiplier*collide_multiplier player.y += 0.46 player.currentDash += 6 if player.currentDash >= len(player.character.dash): player.isDashing = False player.dash_collide = False player.setAction = False player.y = player.yOriginal player.currentDash = 0 if player.index >= len(player.character.dash): player.index = 0 else: if player.multiplier == 1: player.character.image = player.character.dash[player.index] player.index += 1 else: player.character.image = \ pygame.transform.flip(player.character.dash[player.index], True, False) player.index += 1 def back_dash(self, player, x): """ Plays the character's back dash animation and updates their hurt box. :param player: :param x: :return: """ if player.facingRight and not player.setAction: player.multiplier = 1 player.setAction = True elif not player.facingRight and not player.setAction: player.multiplier = -1 player.setAction = True if player.currentDash < len(player.character.backdash)/2: player.x += 3.7*(-1)*player.multiplier player.y -= .56 elif player.currentDash > len(player.character.backdash)/2 \ and player.currentDash < len(player.character.backdash)/1.5: player.x += 3.35*(-1)*player.multiplier elif player.currentDash > len(player.character.backdash)/1.5: player.x += 3.175*(-1)*player.multiplier player.y += .48 player.currentDash += 6 if player.currentDash >= len(player.character.backdash): player.isBackDashing = False player.setAction = False player.y = player.yOriginal player.currentDash = 0 if player.index >= len(player.character.backdash): player.index = 0 else: if player.multiplier == 1: player.character.image = player.character.backdash[player.index] player.index += 1 else: player.character.image = \ pygame.transform.flip(player.character.backdash[player.index], True, False) player.index += 1 # ----------------------------------------------------------------------------------------------------------------- def update(self, player, x, two): """ This method plays and checks all of the status of the player. If certain booleans are activated in the player class, the character will act accordingly to that action. :param player: :param x: :param two: :return: """ for hits in self.hit_box: fire_ball = isinstance(hits, GinaFireBall) if fire_ball: if hits.distance > 0: if hits.distance_traveled >= hits.distance: self.hit_box.remove(hits) else: if hits.distance_traveled <= hits.distance: self.hit_box.remove(hits) if player.block_hit: self.being_blocked(player) elif player.got_hit: self.being_damaged(player) elif player.got_air_hit: self.being_air_damaged(player) elif player.neutral_jumping or player.forward_jumping \ or player.back_jumping or player.isDescending: self.jumping(player) elif player.isDashing: player.meter_points += 0.2 self.forward_dash(player) elif player.isBackDashing: self.back_dash(player, x) elif player.grabbed: pass elif player.grabbing: self.grab_attack(player) elif player.throw: self.throw_attack(player, two) elif player.push_back: self.push_back_grab(player) elif player.crouch_attack_a: self.crouch_a(player) elif player.attack_a: self.stand_a(player) elif player.crouch_attack_b: self.crouch_b(player) elif player.attack_b: self.stand_b(player) elif player.crouch_attack_c: self.crouch_c(player) elif player.attack_c: self.stand_c(player) elif player.special_one: self.special_one(player) elif player.winner: self.win_state(player) elif player.loser: self.lose_state(player, two) elif player.getting_up: self.wake_up(player) elif x < 0: player.x += x if player.facingRight: if player.index >= len(player.character.walkBackward): player.index = 0 else: if player.facingRight: player.character.image = player.character.walkBackward[player.index] player.index += 1 else: player.character.image = \ pygame.transform.flip(player.character.walkBackward[player.index],True, False) player.index += 1 else: if player.index >= len(player.character.walkFoward): player.index = 0 else: if player.facingRight: player.character.image = player.character.walkFoward[player.index] player.index += 1 else: player.character.image = \ pygame.transform.flip(player.character.walkFoward[player.index], True, False) player.index += 1 elif x > 0: player.x += x if player.facingRight: if player.index >= len(player.character.walkFoward): player.index = 0 else: if player.facingRight: player.character.image = player.character.walkFoward[player.index] player.index += 1 else: player.character.image = \ pygame.transform.flip(player.character.walkFoward[player.index], True, False) player.index += 1 else: if player.index >= len(player.character.walkBackward): player.index = 0 else: if player.facingRight: player.character.image = player.character.walkBackward[player.index] player.index += 1 else: player.character.image = \ pygame.transform.flip(player.character.walkBackward[player.index], True, False) player.index += 1 elif x == 0: player.x += x if player.crouching != True: if player.index >= len(player.character.standing): player.index = 0 else: if player.facingRight: player.character.image = player.character.standing[player.index] player.index += 1 else: player.character.image = \ pygame.transform.flip(player.character.standing[player.index], True, False) player.index += 1 else: if player.index >= len(player.character.crouching): player.index = 0 else: if player.facingRight: player.character.image = player.character.crouching[player.index] player.index += 1 else: player.character.image = \ pygame.transform.flip(player.character.crouching[player.index], True, False) player.index += 1

48.490133

130

0.520992

11,420

105,660

4.708406

0.03021

0.060759

0.034369

0.056054

0.92799

0.91605

0.896039

0.870895

0.845007

0.816459

0

0.040525

0.378308

105,660

2,178

131

48.512397

0.778042

0.043933

0

0.784129

0

0.042338

0.040837

0

1

0.013873

false

0.000555

0.004994

0

0.019423

0

null

0

1

0

1

0

null

0

7

4e2b98d350d6b35d3975c8daa161be68aa0efa9f

59,476

py

Python

core/train.py

kianakiaei/TSGL-EEGNet

c7597ea49c80116672005d59c070313ea44fe3c6

[ "MIT" ]

null

core/train.py

kianakiaei/TSGL-EEGNet

c7597ea49c80116672005d59c070313ea44fe3c6

[ "MIT" ]

null

core/train.py

kianakiaei/TSGL-EEGNet

c7597ea49c80116672005d59c070313ea44fe3c6

[ "MIT" ]

null

# coding:utf-8 import os import gc import sys import math import copy import time import logging import itertools import numpy as np from numpy.core.numeric import cross import tensorflow as tf import matplotlib.pyplot as plt from tensorflow.python.keras.api._v2.keras import backend as K from core.models import EEGNet, TSGLEEGNet, ShallowConvNet, DeepConvNet, MB3DCNN, EEGAttentionNet from core.splits import StratifiedKFold from core.callbacks import MyModelCheckpoint, EarlyStopping from core.utils import standardization, computeKappa _console = sys.stdout def create_EEGAttentionNet(nClasses, Samples, Chans=22, Colors=1, F=9, D=4, kernLength=64, optimizer=tf.keras.optimizers.Adam, lrate=1e-3, loss='sparse_categorical_crossentropy', metrics=['accuracy'], summary=True): model = EEGAttentionNet(nClasses, Chans=Chans, Colors=Colors, Samples=Samples, kernLength=kernLength, F1=F, D=D) model.compile(optimizer=optimizer(lrate), loss=loss, metrics=metrics) if summary: model.summary() # export graph of the model # tf.keras.utils.plot_model(model, 'EEGNet.png', show_shapes=True) return model def create_MB3DCNN(nClasses, H, W, Samples, optimizer=tf.keras.optimizers.Adam, lrate=1e-3, loss='sparse_categorical_crossentropy', metrics=['accuracy'], summary=True): model = MB3DCNN(nClasses, H=H, W=W, Samples=Samples) model.compile(optimizer=optimizer(lrate), loss=loss, metrics=metrics) if summary: model.summary() # export graph of the model # tf.keras.utils.plot_model(model, 'MB3DCNN.png', show_shapes=True) return model def create_EEGNet(nClasses, Samples, Chans=22, F=9, D=4, Ns=4, kernLength=64, FSLength=16, dropoutRate=0.5, optimizer=tf.keras.optimizers.Adam, lrate=1e-3, loss='sparse_categorical_crossentropy', metrics=['accuracy'], summary=True): model = EEGNet(nClasses, Chans=Chans, Samples=Samples, kernLength=kernLength, FSLength=FSLength, dropoutRate=dropoutRate, F1=F, D=D, F2=nClasses * 2 * Ns) model.compile(optimizer=optimizer(lrate), loss=loss, metrics=metrics) if summary: model.summary() # export graph of the model # tf.keras.utils.plot_model(model, 'EEGNet.png', show_shapes=True) return model def create_TSGLEEGNet(nClasses, Samples, Chans=22, Colors=1, F=9, D=4, Ns=4, kernLength=64, FSLength=16, dropoutRate=0.5, l1=1e-4, l21=1e-4, tl1=1e-5, optimizer=tf.keras.optimizers.Adam, lrate=1e-3, loss='sparse_categorical_crossentropy', metrics=['accuracy'], summary=True): model = TSGLEEGNet(nClasses, Chans=Chans, Samples=Samples, Colors=Colors, kernLength=kernLength, FSLength=FSLength, dropoutRate=dropoutRate, F1=F, D=D, F2=nClasses * 2 * Ns, l1=l1, l21=l21, tl1=tl1) model.compile(optimizer=optimizer(lrate), loss=loss, metrics=metrics) if summary: model.summary() # export graph of the model # tf.keras.utils.plot_model(model, 'rawEEGConvNet.png', show_shapes=True) return model class crossValidate(object): ''' Class for K-fold Cross Validation. This framework can collect `model`, `loss`, `acc` and `history` from each fold, and save them into files. Data spliting methods from sklearn.model_selection are supported. you can pass the classes as `splitMethod`. This class has implemented a magic method `__call__()` wrapping `call()`, for which it can be used like a function. Parameters ---------- ```txt built_fn : function, Create Training model which need to cross-validate. Please using string `create_` at the begining of function name, like `create_modelname`. dataGent : class, Generate data for @built_fn, shapes (n_trails, ...). It should discriminate data and label. More details see core.generators. splitMethod : class, Support split methods from module sklearn.model_selection. kFold : int, Number of K-fold. shuffle : bool, Optional Whether to shuffle each class's samples before splitting into batches, default = False. random_state : int, RandomState instance or None, optional, default = None. If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState instance used by np.random. Used when shuffle == True. subs : list, list of subjects' number, like `range(1, 10)`. cropping : bool, Switch of cropped training. Default = False. winLength : int, cropping window length, default = 2*srate. cpt : float, cropping sencond, optional, only available when `winLength` is not specified. step : int, cropping step, default = 4. standardizing : bool, Switch of standardizing data. Default = True. batch_size : int, Batch size. epochs : int, Training epochs. patience : int, Early stopping patience. verbose : int, One of 0, 1 and 2. *a, *args : tuple, Parameters used by @dataGent and @built_fn respectively **kw, **kwargs : dict, Parameters used by @dataGent and @built_fn respectively, **kw should include parameters called `beg`, `end` and `srate`. ``` Returns ------- ```txt avg_acc : list, Average accuracy for each subject with K-fold Cross Validation, and total average accuracy is at the last of the list avg_kappa : list, Average kappa for each subject with K-fold Cross Validation, and total average kappa is at the last of the list ``` Example ------- ```python from core.splits import StratifiedKFold def create_model(Samples, *args, summary=True, **kwargs): ... return keras_model class dataGenerator: def __init__(self, *a, beg=0, end=4, srate=250, **kw): ... def __call__(self, filepath, label=False): if label: ... return label else: ... return data ... ... avg_acc = crossValidate( create_model, dataGenerator, beg=0, end=4, srate=250, splitMethod=StratifiedKFold, kFold=10, subs=range(1, 10), *a, **kw)(*args, **kwargs) ``` Note ---- More details to see the codes. ''' def __init__(self, built_fn, dataGent, splitMethod=StratifiedKFold, traindata_filepath=None, testdata_filepath=None, datadir=None, beg=0., end=4., srate=250, kFold=10, shuffle=False, random_state=None, subs: list = range(1, 10), cropping=False, winLength=None, cpt=None, step=25, standardizing=True, batch_size=10, epochs=300, patience=100, verbose=2, preserve_initfile=False, reinit=True, *args, **kwargs): self.built_fn = built_fn self.dataGent = dataGent(beg=beg, end=end, srate=srate, *args, **kwargs) self.beg = beg self.end = end self.srate = srate self.splitMethod = splitMethod self.traindata_filepath = traindata_filepath self.testdata_filepath = testdata_filepath self.datadir = datadir self.kFold = kFold self.shuffle = shuffle self.random_state = random_state self.subs = subs self.cropping = cropping self.winLength = winLength self.cpt = cpt self.step = step self.standardizing = standardizing self.batch_size = batch_size self.epochs = epochs self.patience = patience self.verbose = verbose self.preserve_initfile = preserve_initfile self.reinit = reinit self.args = args self.kwargs = kwargs self.Samples = math.ceil(self.end * self.srate - self.beg * self.srate) self._check_params() if self.datadir: for root, dirs, files in os.walk(self.datadir): if files: self.dn = files[0][0] break else: self.dn = '' self.modelstr = built_fn.__name__[7:] if self.splitMethod.__name__ == 'AllTrain': self.validation_name = 'Average Validation' else: self.validation_name = 'Cross Validation' self._new_fold = True self._last_batch = False self._readed = False self.X1 = None self.Y1 = None self.X2 = None self.Y2 = None if not os.path.exists('model'): os.makedirs('model') if not os.path.exists('result'): os.makedirs('result') # cropped training if self.winLength: if not isinstance(self.winLength, int): raise TypeError('`winLength` must be passed as int.') if self.winLength > (self.end - self.beg) * self.srate: raise ValueError( '`winLength` must less than or equal (`end` - ' '`beg`) * `srate`.') if self.cpt and not self.winLength: if (isinstance(self.cpt, float) or isinstance(self.cpt, int)): if self.cpt <= self.end - self.beg: self.winLength = self.cpt * self.srate else: raise ValueError( '`cpt` must less than or equal `end` - `beg`.') else: raise TypeError('`cpt` must be passed as int or float.') if not self.winLength: self.winLength = 2 * self.srate if self.step: if not isinstance(self.step, int): raise TypeError('`step` must be passed as int.') else: self.step = 4 def call(self, *args, **kwargs): initfile = os.path.join('.', 'CV_initweight.h5') tm = time.localtime() dirname = ( 'CV_{0:d}_{1:0>2d}_{2:0>2d}_{3:0>2d}_{4:0>2d}_{5:0>2d}_{6:s}'. format(tm.tm_year, tm.tm_mon, tm.tm_mday, tm.tm_hour, tm.tm_min, tm.tm_sec, self.modelstr)) if not os.path.exists(os.path.join('model', dirname)): os.mkdir(os.path.join('model', dirname)) if not os.path.exists(os.path.join('result', dirname)): os.mkdir(os.path.join('result', dirname)) if self.cropping: gent = self._gent_cropped_data self.Samples -= self.winLength else: gent = self._gent_data if not self.reinit: model = self.built_fn(*args, **kwargs, Samples=self.Samples) model.save_weights(initfile) earlystopping = EarlyStopping(monitor='val_loss', min_delta=0, patience=self.patience, verbose=0, mode='auto') filename = '' for key in kwargs.keys(): if key in ['l1', 'l21', 'tl1']: filename += '{0:s}({1:.8f})_'.format(key, kwargs[key]) else: filename += '{0:s}({1:0>2d})_'.format(key, kwargs[key]) avg_acci = [] avg_kappai = [] win_subs_list = [] for i in self.subs: accik = [] kappaik = [] k = 0 # count kFolds # cropped training t = 0 # record model's saving time c = 0 # count windows win = 0 # selected windows win_list = [] # selected windows list for data in gent(subject=i): if self._new_fold: # new fold for cropped training self._new_fold = False t = 0 c = 0 if self.reinit: model = self.built_fn(*args, **kwargs, Samples=self.Samples) k += 1 filepath = os.path.join( 'result', dirname, filename + '{:s}.txt'.format(self.modelstr)) with open(filepath, 'w+') as f: sys.stdout = f print(('{0:s} {1:d}-fold ' + self.validation_name + ' Accuracy').format(self.modelstr, self.kFold)) print('Subject {:0>2d} fold {:0>2d} in processing'. format(i, k)) sys.stdout = _console f.seek(0, 0) for line in f.readlines(): print(line) f.close() filepath = os.path.join( 'model', dirname, filename + self.dn + '0{0:d}T_{1:s}({2:d}).h5'.format(i, self.modelstr, k)) checkpointer = MyModelCheckpoint(filepath=filepath, verbose=1, save_best_only=True, statistic_best=True, p=0.05) history = {} else: c += 1 # TODO: fit(), evaluate() with tf.data.Dataset, then `self._new_fold` # and `self._last_batch` will be DEPRECATED. history = dict( list(history.items()) + list( model.fit(x=data['x_train'], y=data['y_train'], batch_size=self.batch_size, epochs=self.epochs, callbacks=[checkpointer, earlystopping], verbose=self.verbose, validation_data=[ data['x_val'], data['y_val'] ]).history.items())) if self.cropping: if not t == os.path.getmtime(checkpointer._filepath): t = os.path.getmtime(checkpointer._filepath) win = c # tf.keras.models.Model.fit() # tf.keras.models.Model.evaluate() # tf.data.Dataset.from_generator() # load the best model for cropped training or evaluating its accuracy model.load_weights(filepath) if self._last_batch: # the last batch for cropped training self._last_batch = False if self.cropping: win_list.append(win) x_test = data['x_test'][:, :, win * self.step:win * self.step + self.Samples, :] pd = model.predict(x_test, verbose=0) pred = np.argmax(pd, axis=1) acc = np.mean( np.squeeze(pred) == np.squeeze(data['y_test'])) kappa = computeKappa(pred, data['y_test']) print( 'win: {:0>2d}\nacc: {:.2%}\nkappa: {:.4f}'.format( win, acc, kappa)) else: loss, acc = model.evaluate(data['x_test'], data['y_test'], batch_size=self.batch_size, verbose=self.verbose) _pred = model.predict(data['x_test'], batch_size=self.batch_size, verbose=self.verbose) pred = np.argmax(_pred, axis=1) kappa = computeKappa(pred, data['y_test']) # save the train history filepath = filepath[:-3] + '.npy' np.save(filepath, history) # reset model's weights to train a new one next fold if os.path.exists(initfile) and not self.reinit: model.reset_states() model.load_weights(initfile) if self.reinit: K.clear_session() gc.collect() accik.append(acc) kappaik.append(kappa) avg_acci.append(np.average(np.array(accik))) avg_kappai.append(np.average(np.array(kappaik))) win_subs_list.append(win_list) print(win_list) self._readed = False del model avg_acc = np.average(np.array(avg_acci)) avg_kappa = np.average(np.array(avg_kappai)) filepath = os.path.join( 'result', 'CV_{0:d}_{1:0>2d}_{2:0>2d}_{3:0>2d}_{4:0>2d}_{5:0>2d}_' \ '{6:s}.txt'.format(tm.tm_year, tm.tm_mon, tm.tm_mday, tm.tm_hour, tm.tm_min, tm.tm_sec, self.modelstr)) with open(filepath, 'w+') as f: sys.stdout = f print(('{0:s} {1:d}-fold ' + self.validation_name + ' Accuracy (kappa)').format(self.modelstr, self.kFold)) for i in range(len(self.subs)): print('Subject {0:0>2d}: {1:.2%} ({2:.4f})'.format( self.subs[i], avg_acci[i], avg_kappai[i]), end='') if self.cropping: print(', Window:{:0>2d}'.format(win_subs_list[i][np.argmax( np.bincount(win_subs_list[i]))])) else: print() print('Average : {0:.2%} ({1:.4f})'.format(avg_acc, avg_kappa)) sys.stdout = _console f.seek(0, 0) for line in f.readlines(): print(line) f.close() if os.path.exists(initfile) and not self.preserve_initfile: os.remove(initfile) avg_acci.append(avg_acc) avg_kappai.append(avg_kappa) return avg_acci, avg_kappai def __call__(self, *args, **kwargs): '''Wraps `call()`.''' return self.call(*args, **kwargs) def getConfig(self): config = { 'built_fn': self.built_fn, 'dataGent': self.dataGent, 'splitMethod': self.splitMethod, 'traindata_filepath': self.traindata_filepath, 'testdata_filepath': self.testdata_filepath, 'datadir': self.datadir, 'beg': self.beg, 'end': self.end, 'srate': self.srate, 'kFold': self.kFold, 'shuffle': self.shuffle, 'random_state': self.random_state, 'subs': self.subs, 'cropping': self.cropping, 'winLength': self.winLength, 'step': self.step, 'standardizing': self.standardizing, 'batch_size': self.batch_size, 'epochs': self.epochs, 'patience': self.patience, 'verbose': self.verbose, 'preserve_initfile': self.preserve_initfile, 'reinit': self.reinit, 'args': self.args, 'kwargs': self.kwargs } return config def setConfig(self, built_fn, dataGent, splitMethod=StratifiedKFold, traindata_filepath=None, testdata_filepath=None, datadir=None, beg=0., end=4., srate=250, kFold=10, shuffle=False, random_state=None, subs: list = range(1, 10), cropping=False, winLength=None, cpt=None, step=25, standardizing=True, batch_size=10, epochs=300, patience=100, verbose=2, preserve_initfile=False, reinit=True, *args, **kwargs): self.built_fn = built_fn self.dataGent = dataGent(beg=beg, end=end, srate=srate, *args, **kwargs) self.beg = beg self.end = end self.srate = srate self.splitMethod = splitMethod self.traindata_filepath = traindata_filepath self.testdata_filepath = testdata_filepath self.datadir = datadir self.kFold = kFold self.shuffle = shuffle self.random_state = random_state self.subs = subs self.cropping = cropping self.winLength = winLength self.cpt = cpt self.step = step self.standardizing = standardizing self.batch_size = batch_size self.epochs = epochs self.patience = patience self.verbose = verbose self.preserve_initfile = preserve_initfile self.reinit = reinit self.args = args self.kwargs = kwargs self.Samples = math.ceil(self.end * self.srate - self.beg * self.srate) self._check_params() if self.datadir: for root, dirs, files in os.walk(self.datadir): if files: self.dn = files[0][0] break self.modelstr = built_fn.__name__[7:] if self.splitMethod.__name__ == 'AllTrain': self.validation_name = 'Average Validation' else: self.validation_name = 'Cross Validation' self._new_fold = True self._last_batch = False self._readed = False self.X1 = None self.Y1 = None self.X2 = None self.Y2 = None if not os.path.exists('model'): os.makedirs('model') if not os.path.exists('result'): os.makedirs('result') # cropped training if self.winLength: if not isinstance(self.winLength, int): raise TypeError('`winLength` must be passed as int.') if self.winLength > (self.end - self.beg) * self.srate: raise ValueError( '`winLength` must less than or equal (`end` - ' '`beg`) * `srate`.') if self.cpt and not self.winLength: if (isinstance(self.cpt, float) or isinstance(self.cpt, int)): if self.cpt <= self.end - self.beg: self.winLength = self.cpt * self.srate else: raise ValueError( '`cpt` must less than or equal `end` - `beg`.') else: raise TypeError('`cpt` must be passed as int or float.') if not self.winLength: self.winLength = 2 * self.srate if self.step: if not isinstance(self.step, int): raise TypeError('`step` must be passed as int.') else: self.step = 4 @staticmethod def _standardize(data: dict, trialaxis=0): '''Standardizing (z-score) on each trial, supports np.nan numbers''' # suppose every trials are independent to each other meta = ['x_train', 'x_test', 'x_val'] # to prevent different objects be the same one data = copy.deepcopy(data) for s in meta: if s in data and not data[s] is None: _len = len(data[s].shape) if _len > 1: axis = list(range(_len)) axis.pop(trialaxis) axis = tuple(axis) else: axis = -1 # z-score on trials data[s] = standardization(data[s], axis=axis) return data def _read_data(self, subject, mode): ''' Read data from dataGent. Parameters ---------- ```txt subject : int, Identifier of subject. mode : str, One of 'train' and 'test'. ``` Yields ------ ```txt data : tuple, (x, y). ``` ''' meta = ['train', 'test'] if not isinstance(mode, str): raise TypeError('`mode` must be passed as string.') if not mode in meta: raise ValueError('`mode` must be one of \'train\' and \'test\'.') if mode == 'test': if not self.testdata_filepath: self.testdata_filepath = os.path.join( self.datadir, 'Test', self.dn + '0' + str(subject) + 'E.mat') yield self.dataGent(self.testdata_filepath) self.testdata_filepath = None else: yield self.dataGent(self.testdata_filepath) else: if not self.traindata_filepath: self.traindata_filepath = os.path.join( self.datadir, 'Train', self.dn + '0' + str(subject) + 'T.mat') yield self.dataGent(self.traindata_filepath) self.traindata_filepath = None else: yield self.dataGent(self.traindata_filepath) def _gent_data(self, subject): ''' Generate (data, label) from dataGent. Parameters ---------- ```txt subject : int, Identifier of subject. ``` Yields ------ ```txt data : dict, Includes train, val and test data. ``` ''' data = { 'x_train': None, 'y_train': None, 'x_val': None, 'y_val': None, 'x_test': None, 'y_test': None } if not self._readed: # for once for (self.X1, self.Y1) in self._read_data(subject=subject, mode='test'): pass for (self.X2, self.Y2) in self._read_data(subject=subject, mode='train'): self._readed = True data['x_test'] = self.X1 data['y_test'] = self.Y1 # for multiple times for (x1, y1), (x2, y2) in self._spilt(self.X2, self.Y2): data['x_train'] = x1 data['y_train'] = y1 data['x_val'] = x2 data['y_val'] = y2 if self.standardizing: data = self._standardize(data) if data['x_val'] is None: data['x_val'] = data['x_test'] data['y_val'] = data['y_test'] self._new_fold = True self._last_batch = True yield data def _gent_cropped_data(self, subject): ''' Generate cropped (data, label) from dataGent. Not including test data. Parameters ---------- ```txt subject : int, Identifier of subject. ``` Yields ------ ```txt data : dict, Includes train, val and test data. ``` ''' temp = { 'x_train': None, 'y_train': None, 'x_val': None, 'y_val': None, 'x_test': None, 'y_test': None } L = range(0, self.Samples + 1, self.step) L = len(L) print('len(L): {0:d}'.format(L)) if not self._readed: # for once for (self.X1, self.Y1) in self._read_data(subject=subject, mode='test'): pass for (self.X2, self.Y2) in self._read_data(subject=subject, mode='train'): self._readed = True temp['x_test'] = self.X1 temp['y_test'] = self.Y1 for (x1, y1), (x2, y2) in self._spilt(self.X2, self.Y2): temp['x_train'] = x1 temp['y_train'] = y1 temp['x_val'] = x2 temp['y_val'] = y2 if temp['x_val'] is None: if self.standardizing: data = self._standardize(temp) temp['x_val'] = data['x_test'] temp['y_val'] = data['y_test'] temp['x_test'] = data['x_test'] temp['y_test'] = data['y_test'] else: data['x_train'] = x1 data['x_val'] = temp['x_val'] else: if self.standardizing: data = self._standardize(temp) temp['x_test'] = data['x_test'] temp['y_test'] = data['y_test'] else: data['x_train'] = x1 data['x_val'] = x2 i = 0 for (temp['x_train'], temp['x_val']) in self._cropping_data( (data['x_train'], data['x_val'])): i += 1 if i == 1: self._new_fold = True if i == L: self._last_batch = True yield temp def _cropping_data(self, datas: tuple): L = range(0, self.Samples + 1, self.step) for i in L: temp = () for data in datas: temp += (data[:, :, i:i + self.winLength, :], ) yield temp def _spilt(self, X, y, groups=None): """ Generate indices to split data into training and test set. Parameters ---------- X : array-like, shape (n_samples, n_features) Training data, where n_samples is the number of samples and n_features is the number of features. y : array-like, shape (n_samples,) The target variable for supervised learning problems. groups : array-like, with shape (n_samples,), optional Group labels for the samples used while splitting the dataset into train/test set. Action depends on the split method you choose. Yields ------ train : ndarray The training set indices for that split. val : ndarray The validating set indices for that split. """ sm = self.splitMethod(n_splits=self.kFold, shuffle=self.shuffle, random_state=self.random_state) for train_index, val_index in sm.split(X, y, groups): # (x_train, y_train), (x_val, y_val) if not train_index.any(): raise ValueError('Training data shouldn\'t be empty.') elif not val_index.any(): yield (X[train_index], y[train_index]), (None, None) else: yield (X[train_index], y[train_index]), (X[val_index], y[val_index]) def _check_params(self): ''' Cross Validate check parameters out. ''' # TODO: check parameters out. pass class gridSearch(crossValidate): ''' Class for K-fold Cross Validation Grid Search. Grid Search method. May better to be a subclass of `crossValidate`. This framework can collect `model`, `loss`, `acc` and `history` from each fold, and save them into files. Data spliting methods from sklearn.model_selection are supported. you can pass the classes as `splitMethod`. It can't use multiple GPUs to speed up now. To grid search on a large parameter matrix, you should use `Greedy Algorithm`. This class has implemented a magic method `__call__()` wrapping `call()`, for which it can be used like a function. Parameters ---------- ```txt built_fn : function, Create Training model which need to cross-validate. Please using string `create_` at the begining of function name, like `create_modelname`. parameters : dict, Parameters need to grid-search. Keys are the parameters' name, and every parameter values are vectors which should be passed as a list. dataGent : class, Generate data for @built_fn, shapes (n_trails, ...). It should discriminate data and label. More details see core.generators. splitMethod : class, Support split methods from module sklearn.model_selection. kFold : int, Number of K-fold. shuffle : bool, Optional Whether to shuffle each class's samples before splitting into batches, default = False. random_state : int, RandomState instance or None, optional, default = None. If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState instance used by np.random. Used when shuffle == True. subs : list, list of subjects' number, like `range(1, 10)`. cropping : bool, Switch of cropped training. Default = False. winLength : int, cropping window length, default = 2*srate. step : int, cropping step, default = 1. standardizing : bool, Switch of standardizing data. Default = True. batch_size : int, Batch size. epochs : int, Training epochs. patience : int, Early stopping patience. verbose : int, One of 0, 1 and 2. *a, *args : tuple, Parameters used by @dataGent and @built_fn respectively **kw, **kwargs : dict, Parameters used by @dataGent and @built_fn respectively, **kw should include parameters called `beg`, `end` and `srate`. ``` Returns ------- ```txt avg_acc : list, Average accuracy for each subject with K-fold Cross Validation, and total average accuracy is at the last of the list avg_kappa : list, Average kappa for each subject with K-fold Cross Validation, and total average kappa is at the last of the list ``` Example ------- ```python from core.splits import StratifiedKFold def create_model(Samples, *args, summary=True, **kwargs): ... return keras_model class dataGenerator: def __init__(self, *a, beg=0, end=4, srate=250, **kw): ... def __call__(self, filepath, label=False): if label: ... return label else: ... return data ... ... parameters = {'para1':[...], 'para2':[...], ...} avg_acc = gridSearch( create_model, parameters, dataGenerator, beg=0, end=4, srate=250, splitMethod=StratifiedKFold, kFold=10, subs=range(1, 10), *a, **kw)(*args, **kwargs) ``` Note ---- More details to see the codes. ''' def __init__(self, built_fn, parameters: dict, dataGent, splitMethod=StratifiedKFold, traindata_filepath=None, testdata_filepath=None, datadir=None, beg=0, end=4, srate=250, kFold=10, shuffle=False, random_state=None, subs=range(1, 10), cropping=False, winLength=None, cpt=None, step=25, standardizing=True, batch_size=10, epochs=300, patience=100, verbose=2, preserve_initfile=False, reinit=False, *args, **kwargs): super().__init__(built_fn=built_fn, dataGent=dataGent, splitMethod=splitMethod, traindata_filepath=traindata_filepath, testdata_filepath=testdata_filepath, datadir=datadir, beg=beg, end=end, srate=srate, kFold=kFold, shuffle=shuffle, random_state=random_state, subs=subs, cropping=cropping, winLength=winLength, cpt=cpt, step=step, standardizing=standardizing, batch_size=batch_size, epochs=epochs, patience=patience, verbose=verbose, preserve_initfile=preserve_initfile, reinit=reinit, *args, **kwargs) _subs_targeted = False _subs_targeted_parameters = [] for parameter in parameters: if not parameter in self.built_fn.__code__.co_varnames: raise ValueError('`parameters` has unsupported parameter in' ' `built_fn`.') if not isinstance(parameters[parameter], list) and not isinstance( parameters[parameter], dict): parameters[parameter] = list(parameters[parameter]) if isinstance(parameters[parameter], dict): subs = list(self.subs) for subject in parameters[parameter]: if not int(subject) in self.subs: raise ValueError('`parameters` has unsolved subject' ' numbers.') if not isinstance(parameters[parameter][subject], list): parameters[parameter][subject] = list( parameters[parameter][subject]) subs.remove(int(subject)) if subs: raise ValueError('`parameters` doesn\'t include all the' ' subject numbers.') _subs_targeted = True _subs_targeted_parameters.append(parameter) temp = [] if _subs_targeted: for subject in range(1, max(self.subs) + 1): items = [] for parameter in parameters: if subject in self.subs: if parameter in _subs_targeted_parameters: items += list({ parameter: parameters[parameter][str(subject)] }.items()) else: items += list({parameter: parameters[parameter]}.items()) temp.append(dict(items)) else: for subject in range(1, max(self.subs) + 1): if subject in self.subs: temp.append(parameters) else: temp.append([]) self.parameters = temp def call(self, *args, **kwargs): ''' parameters should be lists to different subjects, then pass one subject's parameter to cv. ''' initfile = os.path.join('.', 'GSCV_initweight.h5') tm = time.localtime() dirname = ( 'GS_{0:d}_{1:0>2d}_{2:0>2d}_{3:0>2d}_{4:0>2d}_{5:0>2d}_{6:s}'. format(tm.tm_year, tm.tm_mon, tm.tm_mday, tm.tm_hour, tm.tm_min, tm.tm_sec, self.modelstr)) if not os.path.exists(os.path.join('model', dirname)): os.mkdir(os.path.join('model', dirname)) if not os.path.exists(os.path.join('result', dirname)): os.mkdir(os.path.join('result', dirname)) if self.cropping: gent = self._gent_cropped_data self.Samples -= self.winLength else: gent = self._gent_data earlystopping = EarlyStopping(monitor='val_loss', min_delta=0, patience=self.patience, verbose=0, mode='auto') def cv(*args, **kwargs): '''one subject, one parameter''' if not self.reinit: if not os.path.exists(initfile): model = self.built_fn(*args, **kwargs, Samples=self.Samples) model.save_weights(initfile) else: model = self.built_fn(*args, **kwargs, Samples=self.Samples) model.load_weights(initfile) filename = '' for key in kwargs.keys(): if key in ['l1', 'l21', 'tl1']: filename += '{0:s}({1:.8f})_'.format(key, kwargs[key]) else: filename += '{0:s}({1:0>2d})_'.format(key, kwargs[key]) acck = [] kappak = [] k = 0 # count kFolds # cropped training t = 0 # record model's saving time c = 0 # count windows win = 0 # selected windows win_list = [] # selected windows list for data in gent(subject=self.subs): if self._new_fold: # new fold for cropped training self._new_fold = False t = 0 c = 0 if self.reinit: model = self.built_fn(*args, **kwargs, Samples=self.Samples) k += 1 filepath = os.path.join( 'model', dirname, filename + self.dn + '0{0:d}T_{1:s}({2:d}).h5'.format( self.subs, self.modelstr, k)) checkpointer = MyModelCheckpoint(filepath=filepath, verbose=1, save_best_only=True, statistic_best=True, p=0.05) history = {} # TODO: fit(), evaluate() with tf.data.Dataset, then `self._new_fold` # and `self._last_batch` will be DEPRECATED. history = dict( list(history.items()) + list( model.fit(x=data['x_train'], y=data['y_train'], batch_size=self.batch_size, epochs=self.epochs, callbacks=[checkpointer, earlystopping], verbose=self.verbose, validation_data=[ data['x_val'], data['y_val'] ]).history.items())) if self.cropping: if not t == os.path.getmtime(checkpointer._filepath): t = os.path.getmtime(checkpointer._filepath) win = c # load the best model for cropped training or evaluating its accuracy model.load_weights(filepath) if self._last_batch: # the last batch for cropped training self._last_batch = False if self.cropping: win_list.append(win) x_test = data['x_test'][:, :, win * self.step:win * self.step + self.Samples, :] pd = model.predict(x_test, verbose=0) pred = np.argmax(pd, axis=1) acc = np.mean( np.squeeze(pred) == np.squeeze(data['y_test'])) kappa = computeKappa(pred, data['y_test']) else: loss, acc = model.evaluate(data['x_test'], data['y_test'], batch_size=self.batch_size, verbose=self.verbose) _pred = model.predict(data['x_test'], batch_size=self.batch_size, verbose=self.verbose) pred = np.argmax(_pred, axis=1) kappa = computeKappa(pred, data['y_test']) # save the train history npy_filepath = filepath[:-3] + '.npy' np.save(npy_filepath, history) # reset model's weights to train a new one next fold if os.path.exists(initfile) and not self.reinit: model.reset_states() model.load_weights(initfile) if self.reinit: K.clear_session() gc.collect() acck.append(acc) kappak.append(kappa) data.clear() del data K.clear_session() del model gc.collect() avg_acc = np.average(np.array(acck)) avg_kappa = np.average(np.array(kappak)) win = win_list[np.argmax(np.bincount(win_list))] filepath = os.path.join( 'result', dirname, filename + self.dn + '0{0:d}T_{1:s}.txt'.format(self.subs, self.modelstr)) with open(filepath, 'w+') as f: sys.stdout = f print(('{0:s} {1:d}-fold ' + self.validation_name + ' Accuracy').format(self.modelstr, self.kFold)) print('Subject {0:0>2d}'.format(self.subs)) for i in range(len(acck)): print('Fold {0:0>2d}: {1:.2%} ({2:.4f})'.format( i + 1, acck[i], kappak[i])) if self.cropping: print('Window:{:0>2d}'.format(win)) print('Average : {0:.2%} ({1:.4f})'.format( avg_acc, avg_kappa)) sys.stdout = _console f.seek(0, 0) for line in f.readlines(): print(line) f.close() return avg_acc, avg_kappa parameters = [] max_avg_acc = [] max_acc_kappa = [] indices = [] subs = copy.copy(self.subs) filepath = os.path.join( 'result', 'GS_{0:d}_{1:0>2d}_{2:0>2d}_{3:0>2d}_{4:0>2d}_{5:0>2d}_' \ '{6:s}.txt'.format(tm.tm_year, tm.tm_mon, tm.tm_mday, tm.tm_hour, tm.tm_min, tm.tm_sec, self.modelstr)) for subject in subs: parameters.append(self._combination(subject=subject)) count = 0 with open(filepath, 'w+') as f: sys.stdout = f print('Subject: {0:0>2d}/{1:0>2d}'.format(subject, len(subs))) print( 'Grid Search progress: {0:0>4d}/{1:0>4d}' \ '\nThe No.{2:0>4d} is in processing' .format(count, len(parameters[-1]), count + 1)) sys.stdout = _console f.seek(0, 0) for line in f.readlines(): print(line) f.close() avg_acc = [] avg_kappa = [] for parameter in parameters[-1]: self.subs = subject param = dict(parameter + list(kwargs.items())) acc, kappa = cv(*args, **param) avg_acc.append(acc) avg_kappa.append(kappa) count += 1 with open(filepath, 'w+') as f: sys.stdout = f print('Subject: {0:0>2d}/{1:0>2d}'.format( subject, len(subs))) if count < len(parameters[-1]): print( 'Grid Search progress: {0:0>4d}/{1:0>4d}' \ '\nThe No.{2:0>4d} is in processing' .format(count, len(parameters[-1]), count + 1)) else: print('Grid Search progress: {0:0>4d}/{1:0>4d}'.format( count, len(parameters[-1]))) sys.stdout = _console f.seek(0, 0) for line in f.readlines(): print(line) f.close() self._readed = False max_avg_acc.append(np.max(avg_acc)) indices.append(np.argmax(avg_acc)) max_acc_kappa.append(avg_kappa[indices[-1]]) self.subs = subs if os.path.exists(initfile) and not self.preserve_initfile: os.remove(initfile) with open(filepath, 'w+') as f: sys.stdout = f print(('{0:s} {1:d}-fold ' + self.validation_name + 'Grid Search Accuracy (kappa)').format( self.modelstr, self.kFold)) for i in range(len(self.subs)): print('Subject {0:0>2d}: {1:.2%} ({2:.4f})'.format( self.subs[i], max_avg_acc[i], max_acc_kappa[i])) print('Parameters', end='') for n in range(len(parameters[i][indices[i]])): if n == 0: print(': {0:s} = {1:.8f}'.format( parameters[i][indices[i]][n][0], parameters[i][indices[i]][n][1]), end='') else: print(', {0:s} = {1:.8f}'.format( parameters[i][indices[i]][n][0], parameters[i][indices[i]][n][1]), end='') print() print('Average : {:.2%} ({:.4f})'.format( np.average(max_avg_acc), np.average(max_acc_kappa))) sys.stdout = _console f.seek(0, 0) for line in f.readlines(): print(line) f.close() avg_acc = max_avg_acc avg_kappa = max_acc_kappa avg_acc.append(np.average(max_avg_acc)) avg_kappa.append(np.average(max_acc_kappa)) return avg_acc, avg_kappa def _combination(self, subject): '''Solve the combaination of parameters given to Grid Search''' parameters = [] parameter = [] keys = list(self.parameters[subject - 1].keys()) values = list(itertools.product(*self.parameters[subject - 1].values())) for v in values: for i in range(len(v)): parameter.append((keys[i], v[i])) parameters.append(parameter) parameter = [] return parameters def getConfig(self): config = {'parameters': self.parameters} base_config = super(crossValidate, self).getConfig() return dict(list(base_config.items()) + list(config.items())) def getSuperConfig(self): return super(crossValidate, self).getConfig() def setConfig(self, built_fn, parameters: dict, dataGent, splitMethod=StratifiedKFold, traindata_filepath=None, testdata_filepath=None, datadir=None, beg=0, end=4, srate=250, kFold=10, shuffle=False, random_state=None, subs=range(1, 10), cropping=False, winLength=None, cpt=None, step=25, standardizing=True, batch_size=10, epochs=300, patience=100, verbose=2, preserve_initfile=False, reinit=False, *args, **kwargs): super().setConfig(built_fn=built_fn, dataGent=dataGent, splitMethod=splitMethod, traindata_filepath=traindata_filepath, testdata_filepath=testdata_filepath, datadir=datadir, beg=beg, end=end, srate=srate, kFold=kFold, shuffle=shuffle, random_state=random_state, subs=subs, cropping=cropping, winLength=winLength, cpt=cpt, step=step, standardizing=standardizing, batch_size=batch_size, epochs=epochs, patience=patience, verbose=verbose, preserve_initfile=preserve_initfile, reinit=reinit, *args, **kwargs) _subs_targeted = False _subs_targeted_parameters = [] for parameter in parameters: if not parameter in self.built_fn.__code__.co_varnames: raise ValueError('`parameters` has unsupported parameter in' ' `built_fn`.') if not isinstance(parameters[parameter], list) and not isinstance( parameters[parameter], dict): parameters[parameter] = list(parameters[parameter]) if isinstance(parameters[parameter], dict): subs = list(self.subs) for subject in parameters[parameter]: if not int(subject) in self.subs: raise ValueError('`parameters` has unsolved subject' ' numbers.') if not isinstance(parameters[parameter][subject], list): parameters[parameter][subject] = list( parameters[parameter][subject]) subs.remove(int(subject)) if subs: raise ValueError('`parameters` doesn\'t include all the' ' subject numbers.') _subs_targeted = True _subs_targeted_parameters.append(parameter) temp = [] if _subs_targeted: for subject in range(1, max(self.subs) + 1): items = [] for parameter in parameters: if subject in self.subs: if parameter in _subs_targeted_parameters: items += list({ parameter: parameters[parameter][str(subject)] }.items()) else: items += list({parameter: parameters[parameter]}.items()) temp.append(dict(items)) else: for subject in range(1, max(self.subs) + 1): if subject in self.subs: temp.append(parameters) else: temp.append([]) self.parameters = temp

39.128947

97

0.456941

5,797

59,476

4.573918

0.086597

0.00792

0.006789

0.003734

0.802942

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0.735018

0.729587

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0

0.016424

0.446163

59,476

1,520

98

39.128947

0.788525

0.174558

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false

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null

0

1

0

1

0

null

0

7

9d661f3f38a65363f18add1c5424e9a412e09bb2

2,799

py

Python

src/RIOT/tests/gnrc_sock_ip/tests/01-run.py

ARte-team/ARte

19f17f57522e1b18ba390718fc94be246451837b

[ "MIT" ]

2

2020-04-30T08:17:45.000Z

2020-05-23T08:46:54.000Z

src/RIOT/tests/gnrc_sock_ip/tests/01-run.py

ARte-team/ARte

19f17f57522e1b18ba390718fc94be246451837b

[ "MIT" ]

null

src/RIOT/tests/gnrc_sock_ip/tests/01-run.py

ARte-team/ARte

19f17f57522e1b18ba390718fc94be246451837b

[ "MIT" ]

1

2020-02-21T09:21:45.000Z

#!/usr/bin/env python3 # Copyright (C) 2016 Kaspar Schleiser <kaspar@schleiser.de> # # This file is subject to the terms and conditions of the GNU Lesser # General Public License v2.1. See the file LICENSE in the top level # directory for more details. import sys from testrunner import run def testfunc(child): child.expect_exact(u"Calling test_sock_ip_create__EAFNOSUPPORT()") child.expect_exact(u"Calling test_sock_ip_create__EINVAL_addr()") child.expect_exact(u"Calling test_sock_ip_create__EINVAL_netif()") child.expect_exact(u"Calling test_sock_ip_create__no_endpoints()") child.expect_exact(u"Calling test_sock_ip_create__only_local()") child.expect_exact(u"Calling test_sock_ip_create__only_local_reuse_ep()") child.expect_exact(u"Calling test_sock_ip_create__only_remote()") child.expect_exact(u"Calling test_sock_ip_create__full()") child.expect_exact(u"Calling test_sock_ip_recv__EADDRNOTAVAIL()") child.expect_exact(u"Calling test_sock_ip_recv__ENOBUFS()") child.expect_exact(u"Calling test_sock_ip_recv__EPROTO()") child.expect_exact(u"Calling test_sock_ip_recv__ETIMEDOUT()") child.expect_exact(u" * Calling sock_ip_recv()") child.expect(r" \* $timed out with timeout \d+$") child.expect_exact(u"Calling test_sock_ip_recv__socketed()") child.expect_exact(u"Calling test_sock_ip_recv__socketed_with_remote()") child.expect_exact(u"Calling test_sock_ip_recv__unsocketed()") child.expect_exact(u"Calling test_sock_ip_recv__unsocketed_with_remote()") child.expect_exact(u"Calling test_sock_ip_recv__with_timeout()") child.expect_exact(u"Calling test_sock_ip_send__EAFNOSUPPORT()") child.expect_exact(u"Calling test_sock_ip_send__EINVAL_addr()") child.expect_exact(u"Calling test_sock_ip_send__EINVAL_netif()") child.expect_exact(u"Calling test_sock_ip_send__ENOTCONN()") child.expect_exact(u"Calling test_sock_ip_send__socketed_no_local_no_netif()") child.expect_exact(u"Calling test_sock_ip_send__socketed_no_netif()") child.expect_exact(u"Calling test_sock_ip_send__socketed_no_local()") child.expect_exact(u"Calling test_sock_ip_send__socketed()") child.expect_exact(u"Calling test_sock_ip_send__socketed_other_remote()") child.expect_exact(u"Calling test_sock_ip_send__unsocketed_no_local_no_netif()") child.expect_exact(u"Calling test_sock_ip_send__unsocketed_no_netif()") child.expect_exact(u"Calling test_sock_ip_send__unsocketed_no_local()") child.expect_exact(u"Calling test_sock_ip_send__unsocketed()") child.expect_exact(u"Calling test_sock_ip_send__no_sock_no_netif()") child.expect_exact(u"Calling test_sock_ip_send__no_sock()") child.expect_exact(u"ALL TESTS SUCCESSFUL") if __name__ == "__main__": sys.exit(run(testfunc))

52.811321

84

0.798142

438

2,799

4.550228

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0.272955

0.290015

0.786252

0.77421

0.617662

0

0.002782

0.101108

2,799

52

85

53.826923

0.789348

0.086102

0

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0.437696

0

1

0.025

false

0

0.05

0

0.075

0

null

0

1

0

1

0

1

null

0

8

9d67844b5451d2ba27cdfb64e883456bdae0fb01

155

py

Python

loldib/getratings/models/NA/na_kalista/__init__.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_kalista/__init__.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_kalista/__init__.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from .na_kalista_top import * from .na_kalista_jng import * from .na_kalista_mid import * from .na_kalista_bot import * from .na_kalista_sup import *

25.833333

30

0.774194

25

155

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0.690909

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155

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0

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0

true

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null

0

1

0

1

0

1

0

8

9d6f51f3d68d8a6bade585f3bfc7f6c8e9e89cc1

56,476

py

Python

src/genie/libs/parser/iosxr/tests/test_show_ethernet_yang.py

nujo/genieparser

083b01efc46afc32abe1a1858729578beab50cd3

[ "Apache-2.0" ]

4

2020-08-20T12:23:12.000Z

2021-06-15T14:10:02.000Z

src/genie/libs/parser/iosxr/tests/test_show_ethernet_yang.py

nujo/genieparser

083b01efc46afc32abe1a1858729578beab50cd3

[ "Apache-2.0" ]

119

2020-07-10T22:37:51.000Z

2021-03-18T02:40:05.000Z

src/genie/libs/parser/iosxr/tests/test_show_ethernet_yang.py

nujo/genieparser

083b01efc46afc32abe1a1858729578beab50cd3

[ "Apache-2.0" ]

2

2021-02-12T21:42:30.000Z

2021-02-12T21:47:51.000Z

import re import unittest from unittest.mock import Mock import xml.etree.ElementTree as ET from pyats.topology import Device from genie.ops.base import Context from genie.metaparser.util.exceptions import SchemaEmptyParserError from genie.libs.parser.iosxr.show_ethernet import ShowEthernetTrunkDetail, \ ShowEthernetTags class test_show_ethernet_tags_yang(unittest.TestCase): device = Device(name='aDevice') device1 = Device(name='bDevice') empty_output = {'execute.return_value': ''} golden_parsed_output = {'interface': {'GigabitEthernet0/0/0/0': {'sub_interface': {'GigabitEthernet0/0/0/0.501': {'vlan_id': {'2': {'inner_encapsulation_type': 'dot1q', 'inner_encapsulation_vlan_id': '5', 'mtu': '1522', 'outer_encapsulation_type': 'dot1q'}}}}}}} class etree_holder(): def __init__(self): self.data = ET.fromstring(''' <data> <interfaces xmlns="http://cisco.com/ns/yang/Cisco-IOS-XR-pfi-im-cmd-oper"> <interface-xr> <interface> <interface-name>GigabitEthernet0/0/0/0</interface-name> <interface-handle>GigabitEthernet0/0/0/0</interface-handle> <interface-type>IFT_GETHERNET</interface-type> <hardware-type-string>GigabitEthernet</hardware-type-string> <state>im-state-up</state> <line-state>im-state-up</line-state> <encapsulation>ether</encapsulation> <encapsulation-type-string>ARPA</encapsulation-type-string> <mtu>1514</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>1</state-transition-count> <last-state-transition-time>1100222</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <speed>1000000</speed> <duplexity>im-attr-duplex-full</duplexity> <media-type>im-attr-media-other</media-type> <link-type>im-attr-link-type-force</link-type> <in-flow-control>im-attr-flow-control-off</in-flow-control> <out-flow-control>im-attr-flow-control-off</out-flow-control> <mac-address> <address>52:54:00:ff:50:0e</address> </mac-address> <burned-in-address> <address>52:54:00:ff:50:0e</address> </burned-in-address> <carrier-delay> <carrier-delay-up>10</carrier-delay-up> <carrier-delay-down>0</carrier-delay-down> </carrier-delay> <bandwidth>1000000</bandwidth> <max-bandwidth>1000000</max-bandwidth> <is-l2-looped>false</is-l2-looped> <description></description> <data-rates> <input-data-rate>0</input-data-rate> <input-packet-rate>0</input-packet-rate> <output-data-rate>0</output-data-rate> <output-packet-rate>0</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>1000000</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>0</packets-received> <bytes-received>0</bytes-received> <packets-sent>0</packets-sent> <bytes-sent>0</bytes-sent> <multicast-packets-received>0</multicast-packets-received> <broadcast-packets-received>0</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>0</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>1</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787869</last-discontinuity-time> <seconds-since-packet-received>4294967295</seconds-since-packet-received> <seconds-since-packet-sent>4294967295</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> <interface> <interface-name>GigabitEthernet0/0/0/0.501</interface-name> <interface-handle>GigabitEthernet0/0/0/0.501</interface-handle> <interface-type>IFT_VLAN_SUBIF</interface-type> <hardware-type-string>VLAN sub-interface(s)</hardware-type-string> <state>im-state-up</state> <line-state>im-state-up</line-state> <encapsulation>dot1q</encapsulation> <encapsulation-type-string>802.1Q</encapsulation-type-string> <mtu>1522</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>1</state-transition-count> <last-state-transition-time>1100222</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <speed>1000000</speed> <mac-address> <address>52:54:00:ff:50:0e</address> </mac-address> <carrier-delay> <carrier-delay-up>0</carrier-delay-up> <carrier-delay-down>0</carrier-delay-down> </carrier-delay> <bandwidth>1000000</bandwidth> <max-bandwidth>1000000</max-bandwidth> <is-l2-looped>false</is-l2-looped> <parent-interface-name>GigabitEthernet0/0/0/0</parent-interface-name> <description></description> <encapsulation-information> <encapsulation-type>vlan</encapsulation-type> <dot1q-information> <encapsulation-details> <vlan-encapsulation>qinq</vlan-encapsulation> <stack> <outer-tag>2</outer-tag> <second-tag>5</second-tag> </stack> </encapsulation-details> </dot1q-information> </encapsulation-information> <data-rates> <input-data-rate>0</input-data-rate> <input-packet-rate>0</input-packet-rate> <output-data-rate>0</output-data-rate> <output-packet-rate>0</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>1000000</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>0</packets-received> <bytes-received>0</bytes-received> <packets-sent>0</packets-sent> <bytes-sent>0</bytes-sent> <multicast-packets-received>0</multicast-packets-received> <broadcast-packets-received>0</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>0</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>0</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787915</last-discontinuity-time> <seconds-since-packet-received>4294967295</seconds-since-packet-received> <seconds-since-packet-sent>4294967295</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> <interface> <interface-name>GigabitEthernet0/0/0/1</interface-name> <interface-handle>GigabitEthernet0/0/0/1</interface-handle> <interface-type>IFT_GETHERNET</interface-type> <hardware-type-string>GigabitEthernet</hardware-type-string> <state>im-state-admin-down</state> <line-state>im-state-admin-down</line-state> <encapsulation>ether</encapsulation> <encapsulation-type-string>ARPA</encapsulation-type-string> <mtu>1514</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>0</state-transition-count> <last-state-transition-time>1100377</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <speed>1000000</speed> <duplexity>im-attr-duplex-full</duplexity> <media-type>im-attr-media-other</media-type> <link-type>im-attr-link-type-force</link-type> <in-flow-control>im-attr-flow-control-off</in-flow-control> <out-flow-control>im-attr-flow-control-off</out-flow-control> <mac-address> <address>52:54:00:ff:34:03</address> </mac-address> <burned-in-address> <address>52:54:00:ff:34:03</address> </burned-in-address> <carrier-delay> <carrier-delay-up>10</carrier-delay-up> <carrier-delay-down>0</carrier-delay-down> </carrier-delay> <bandwidth>1000000</bandwidth> <max-bandwidth>1000000</max-bandwidth> <is-l2-looped>false</is-l2-looped> <description></description> <data-rates> <input-data-rate>0</input-data-rate> <input-packet-rate>0</input-packet-rate> <output-data-rate>0</output-data-rate> <output-packet-rate>0</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>1000000</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>0</packets-received> <bytes-received>0</bytes-received> <packets-sent>0</packets-sent> <bytes-sent>0</bytes-sent> <multicast-packets-received>0</multicast-packets-received> <broadcast-packets-received>0</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>0</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>0</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787869</last-discontinuity-time> <seconds-since-packet-received>4294967295</seconds-since-packet-received> <seconds-since-packet-sent>4294967295</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> <interface> <interface-name>GigabitEthernet0/0/0/2</interface-name> <interface-handle>GigabitEthernet0/0/0/2</interface-handle> <interface-type>IFT_GETHERNET</interface-type> <hardware-type-string>GigabitEthernet</hardware-type-string> <state>im-state-admin-down</state> <line-state>im-state-admin-down</line-state> <encapsulation>ether</encapsulation> <encapsulation-type-string>ARPA</encapsulation-type-string> <mtu>1514</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>0</state-transition-count> <last-state-transition-time>1100377</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <speed>1000000</speed> <duplexity>im-attr-duplex-full</duplexity> <media-type>im-attr-media-other</media-type> <link-type>im-attr-link-type-force</link-type> <in-flow-control>im-attr-flow-control-off</in-flow-control> <out-flow-control>im-attr-flow-control-off</out-flow-control> <mac-address> <address>52:54:00:ff:40:4e</address> </mac-address> <burned-in-address> <address>52:54:00:ff:40:4e</address> </burned-in-address> <carrier-delay> <carrier-delay-up>10</carrier-delay-up> <carrier-delay-down>0</carrier-delay-down> </carrier-delay> <bandwidth>1000000</bandwidth> <max-bandwidth>1000000</max-bandwidth> <is-l2-looped>false</is-l2-looped> <description></description> <data-rates> <input-data-rate>0</input-data-rate> <input-packet-rate>0</input-packet-rate> <output-data-rate>0</output-data-rate> <output-packet-rate>0</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>1000000</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>0</packets-received> <bytes-received>0</bytes-received> <packets-sent>0</packets-sent> <bytes-sent>0</bytes-sent> <multicast-packets-received>0</multicast-packets-received> <broadcast-packets-received>0</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>0</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>0</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787869</last-discontinuity-time> <seconds-since-packet-received>4294967295</seconds-since-packet-received> <seconds-since-packet-sent>4294967295</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> <interface> <interface-name>GigabitEthernet0/0/0/3</interface-name> <interface-handle>GigabitEthernet0/0/0/3</interface-handle> <interface-type>IFT_GETHERNET</interface-type> <hardware-type-string>GigabitEthernet</hardware-type-string> <state>im-state-admin-down</state> <line-state>im-state-admin-down</line-state> <encapsulation>ether</encapsulation> <encapsulation-type-string>ARPA</encapsulation-type-string> <mtu>1514</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>0</state-transition-count> <last-state-transition-time>1100377</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <speed>1000000</speed> <duplexity>im-attr-duplex-full</duplexity> <media-type>im-attr-media-other</media-type> <link-type>im-attr-link-type-force</link-type> <in-flow-control>im-attr-flow-control-off</in-flow-control> <out-flow-control>im-attr-flow-control-off</out-flow-control> <mac-address> <address>52:54:00:ff:f9:5e</address> </mac-address> <burned-in-address> <address>52:54:00:ff:f9:5e</address> </burned-in-address> <carrier-delay> <carrier-delay-up>10</carrier-delay-up> <carrier-delay-down>0</carrier-delay-down> </carrier-delay> <bandwidth>1000000</bandwidth> <max-bandwidth>1000000</max-bandwidth> <is-l2-looped>false</is-l2-looped> <description></description> <data-rates> <input-data-rate>0</input-data-rate> <input-packet-rate>0</input-packet-rate> <output-data-rate>0</output-data-rate> <output-packet-rate>0</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>1000000</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>0</packets-received> <bytes-received>0</bytes-received> <packets-sent>0</packets-sent> <bytes-sent>0</bytes-sent> <multicast-packets-received>0</multicast-packets-received> <broadcast-packets-received>0</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>0</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>0</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787869</last-discontinuity-time> <seconds-since-packet-received>4294967295</seconds-since-packet-received> <seconds-since-packet-sent>4294967295</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> <interface> <interface-name>GigabitEthernet0/0/0/4</interface-name> <interface-handle>GigabitEthernet0/0/0/4</interface-handle> <interface-type>IFT_GETHERNET</interface-type> <hardware-type-string>GigabitEthernet</hardware-type-string> <state>im-state-admin-down</state> <line-state>im-state-admin-down</line-state> <encapsulation>ether</encapsulation> <encapsulation-type-string>ARPA</encapsulation-type-string> <mtu>1514</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>0</state-transition-count> <last-state-transition-time>1100377</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <speed>1000000</speed> <duplexity>im-attr-duplex-full</duplexity> <media-type>im-attr-media-other</media-type> <link-type>im-attr-link-type-force</link-type> <in-flow-control>im-attr-flow-control-off</in-flow-control> <out-flow-control>im-attr-flow-control-off</out-flow-control> <mac-address> <address>52:54:00:ff:23:6b</address> </mac-address> <burned-in-address> <address>52:54:00:ff:23:6b</address> </burned-in-address> <carrier-delay> <carrier-delay-up>10</carrier-delay-up> <carrier-delay-down>0</carrier-delay-down> </carrier-delay> <bandwidth>1000000</bandwidth> <max-bandwidth>1000000</max-bandwidth> <is-l2-looped>false</is-l2-looped> <description></description> <data-rates> <input-data-rate>0</input-data-rate> <input-packet-rate>0</input-packet-rate> <output-data-rate>0</output-data-rate> <output-packet-rate>0</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>1000000</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>0</packets-received> <bytes-received>0</bytes-received> <packets-sent>0</packets-sent> <bytes-sent>0</bytes-sent> <multicast-packets-received>0</multicast-packets-received> <broadcast-packets-received>0</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>0</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>0</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787869</last-discontinuity-time> <seconds-since-packet-received>4294967295</seconds-since-packet-received> <seconds-since-packet-sent>4294967295</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> <interface> <interface-name>GigabitEthernet0/0/0/5</interface-name> <interface-handle>GigabitEthernet0/0/0/5</interface-handle> <interface-type>IFT_GETHERNET</interface-type> <hardware-type-string>GigabitEthernet</hardware-type-string> <state>im-state-admin-down</state> <line-state>im-state-admin-down</line-state> <encapsulation>ether</encapsulation> <encapsulation-type-string>ARPA</encapsulation-type-string> <mtu>1514</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>0</state-transition-count> <last-state-transition-time>1100377</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <speed>1000000</speed> <duplexity>im-attr-duplex-full</duplexity> <media-type>im-attr-media-other</media-type> <link-type>im-attr-link-type-force</link-type> <in-flow-control>im-attr-flow-control-off</in-flow-control> <out-flow-control>im-attr-flow-control-off</out-flow-control> <mac-address> <address>52:54:00:ff:f5:54</address> </mac-address> <burned-in-address> <address>52:54:00:ff:f5:54</address> </burned-in-address> <carrier-delay> <carrier-delay-up>10</carrier-delay-up> <carrier-delay-down>0</carrier-delay-down> </carrier-delay> <bandwidth>1000000</bandwidth> <max-bandwidth>1000000</max-bandwidth> <is-l2-looped>false</is-l2-looped> <description></description> <data-rates> <input-data-rate>0</input-data-rate> <input-packet-rate>0</input-packet-rate> <output-data-rate>0</output-data-rate> <output-packet-rate>0</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>1000000</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>0</packets-received> <bytes-received>0</bytes-received> <packets-sent>0</packets-sent> <bytes-sent>0</bytes-sent> <multicast-packets-received>0</multicast-packets-received> <broadcast-packets-received>0</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>0</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>0</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787869</last-discontinuity-time> <seconds-since-packet-received>4294967295</seconds-since-packet-received> <seconds-since-packet-sent>4294967295</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> <interface> <interface-name>GigabitEthernet0/0/0/6</interface-name> <interface-handle>GigabitEthernet0/0/0/6</interface-handle> <interface-type>IFT_GETHERNET</interface-type> <hardware-type-string>GigabitEthernet</hardware-type-string> <state>im-state-admin-down</state> <line-state>im-state-admin-down</line-state> <encapsulation>ether</encapsulation> <encapsulation-type-string>ARPA</encapsulation-type-string> <mtu>1514</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>0</state-transition-count> <last-state-transition-time>1100377</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <speed>1000000</speed> <duplexity>im-attr-duplex-full</duplexity> <media-type>im-attr-media-other</media-type> <link-type>im-attr-link-type-force</link-type> <in-flow-control>im-attr-flow-control-off</in-flow-control> <out-flow-control>im-attr-flow-control-off</out-flow-control> <mac-address> <address>52:54:00:ff:d2:b1</address> </mac-address> <burned-in-address> <address>52:54:00:ff:d2:b1</address> </burned-in-address> <carrier-delay> <carrier-delay-up>10</carrier-delay-up> <carrier-delay-down>0</carrier-delay-down> </carrier-delay> <bandwidth>1000000</bandwidth> <max-bandwidth>1000000</max-bandwidth> <is-l2-looped>false</is-l2-looped> <description></description> <data-rates> <input-data-rate>0</input-data-rate> <input-packet-rate>0</input-packet-rate> <output-data-rate>0</output-data-rate> <output-packet-rate>0</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>1000000</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>0</packets-received> <bytes-received>0</bytes-received> <packets-sent>0</packets-sent> <bytes-sent>0</bytes-sent> <multicast-packets-received>0</multicast-packets-received> <broadcast-packets-received>0</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>0</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>0</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787869</last-discontinuity-time> <seconds-since-packet-received>4294967295</seconds-since-packet-received> <seconds-since-packet-sent>4294967295</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> <interface> <interface-name>MgmtEth0/0/CPU0/0</interface-name> <interface-handle>MgmtEth0/0/CPU0/0</interface-handle> <interface-type>IFT_ETHERNET</interface-type> <hardware-type-string>Management Ethernet</hardware-type-string> <state>im-state-up</state> <line-state>im-state-up</line-state> <encapsulation>ether</encapsulation> <encapsulation-type-string>ARPA</encapsulation-type-string> <mtu>1514</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>1</state-transition-count> <last-state-transition-time>1100222</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <speed>1000000</speed> <duplexity>im-attr-duplex-unknown</duplexity> <media-type>im-attr-media-other</media-type> <link-type>im-attr-link-type-auto</link-type> <in-flow-control>im-attr-flow-control-off</in-flow-control> <out-flow-control>im-attr-flow-control-off</out-flow-control> <mac-address> <address>52:54:00:ff:99:42</address> </mac-address> <burned-in-address> <address>52:54:00:ff:99:42</address> </burned-in-address> <carrier-delay> <carrier-delay-up>10</carrier-delay-up> <carrier-delay-down>0</carrier-delay-down> </carrier-delay> <bandwidth>1000000</bandwidth> <max-bandwidth>1000000</max-bandwidth> <is-l2-looped>false</is-l2-looped> <description></description> <arp-information> <arp-timeout>14400</arp-timeout> <arp-type-name>ARPA</arp-type-name> <arp-is-learning-disabled>false</arp-is-learning-disabled> </arp-information> <ip-information> <ip-address>10.85.112.123</ip-address> <subnet-mask-length>25</subnet-mask-length> </ip-information> <data-rates> <input-data-rate>192</input-data-rate> <input-packet-rate>392</input-packet-rate> <output-data-rate>70</output-data-rate> <output-packet-rate>105</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>1000000</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>228836760</packets-received> <bytes-received>13447429857</bytes-received> <packets-sent>56486840</packets-sent> <bytes-sent>4095136965</bytes-sent> <multicast-packets-received>1042005</multicast-packets-received> <broadcast-packets-received>174752</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>21</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>1</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787864</last-discontinuity-time> <seconds-since-packet-received>0</seconds-since-packet-received> <seconds-since-packet-sent>0</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> <interface> <interface-name>Null0</interface-name> <interface-handle>Null0</interface-handle> <interface-type>IFT_NULL</interface-type> <hardware-type-string>Null interface</hardware-type-string> <state>im-state-up</state> <line-state>im-state-up</line-state> <encapsulation>null</encapsulation> <encapsulation-type-string>Null</encapsulation-type-string> <mtu>1500</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>1</state-transition-count> <last-state-transition-time>1100254</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <bandwidth>0</bandwidth> <max-bandwidth>0</max-bandwidth> <is-l2-looped>false</is-l2-looped> <description></description> <data-rates> <input-data-rate>0</input-data-rate> <input-packet-rate>0</input-packet-rate> <output-data-rate>0</output-data-rate> <output-packet-rate>0</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>0</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>0</packets-received> <bytes-received>0</bytes-received> <packets-sent>0</packets-sent> <bytes-sent>0</bytes-sent> <multicast-packets-received>0</multicast-packets-received> <broadcast-packets-received>0</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>0</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>0</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787884</last-discontinuity-time> <seconds-since-packet-received>4294967295</seconds-since-packet-received> <seconds-since-packet-sent>4294967295</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> </interface-xr> </interfaces> </data> ''') golden_output = {'get.return_value': etree_holder()} def test_golden(self): self.device = Mock(**self.golden_output) intf_obj = ShowEthernetTags(device=self.device) intf_obj.context = Context.yang.value.split() parsed_output = intf_obj.parse() self.assertEqual(parsed_output,self.golden_parsed_output) empty_parsed_output = {'interface': {'GigabitEthernet0/0/0/0': {'sub_interface': {'GigabitEthernet0/0/0/0.501': {}}}}} class empty_etree_holder(): def __init__(self): self.data = ET.fromstring(''' <data> <interfaces xmlns="http://cisco.com/ns/yang/Cisco-IOS-XR-pfi-im-cmd-oper"> <interface-xr> <interface> <interface-name>GigabitEthernet0/0/0/0.501</interface-name> <interface-handle>GigabitEthernet0/0/0/0.501</interface-handle> <interface-type>IFT_VLAN_SUBIF</interface-type> <hardware-type-string>VLAN sub-interface(s)</hardware-type-string> <state>im-state-up</state> <line-state>im-state-up</line-state> <encapsulation>dot1q</encapsulation> <encapsulation-type-string>802.1Q</encapsulation-type-string> <mtu>1522</mtu> <is-l2-transport-enabled>false</is-l2-transport-enabled> <state-transition-count>1</state-transition-count> <last-state-transition-time>1100222</last-state-transition-time> <is-dampening-enabled>false</is-dampening-enabled> <speed>1000000</speed> <mac-address> <address>52:54:00:ff:50:0e</address> </mac-address> <carrier-delay> <carrier-delay-up>0</carrier-delay-up> <carrier-delay-down>0</carrier-delay-down> </carrier-delay> <bandwidth>1000000</bandwidth> <max-bandwidth>1000000</max-bandwidth> <is-l2-looped>false</is-l2-looped> <parent-interface-name>GigabitEthernet0/0/0/0</parent-interface-name> <description></description> <encapsulation-information> </encapsulation-information> <data-rates> <input-data-rate>0</input-data-rate> <input-packet-rate>0</input-packet-rate> <output-data-rate>0</output-data-rate> <output-packet-rate>0</output-packet-rate> <peak-input-data-rate>0</peak-input-data-rate> <peak-input-packet-rate>0</peak-input-packet-rate> <peak-output-data-rate>0</peak-output-data-rate> <peak-output-packet-rate>0</peak-output-packet-rate> <bandwidth>1000000</bandwidth> <load-interval>9</load-interval> <output-load>0</output-load> <input-load>0</input-load> <reliability>255</reliability> </data-rates> <interface-statistics> <stats-type>full</stats-type> <full-interface-stats> <packets-received>0</packets-received> <bytes-received>0</bytes-received> <packets-sent>0</packets-sent> <bytes-sent>0</bytes-sent> <multicast-packets-received>0</multicast-packets-received> <broadcast-packets-received>0</broadcast-packets-received> <multicast-packets-sent>0</multicast-packets-sent> <broadcast-packets-sent>0</broadcast-packets-sent> <output-drops>0</output-drops> <output-queue-drops>0</output-queue-drops> <input-drops>0</input-drops> <input-queue-drops>0</input-queue-drops> <runt-packets-received>0</runt-packets-received> <giant-packets-received>0</giant-packets-received> <throttled-packets-received>0</throttled-packets-received> <parity-packets-received>0</parity-packets-received> <unknown-protocol-packets-received>0</unknown-protocol-packets-received> <input-errors>0</input-errors> <crc-errors>0</crc-errors> <input-overruns>0</input-overruns> <framing-errors-received>0</framing-errors-received> <input-ignored-packets>0</input-ignored-packets> <input-aborts>0</input-aborts> <output-errors>0</output-errors> <output-underruns>0</output-underruns> <output-buffer-failures>0</output-buffer-failures> <output-buffers-swapped-out>0</output-buffers-swapped-out> <applique>0</applique> <resets>0</resets> <carrier-transitions>0</carrier-transitions> <availability-flag>0</availability-flag> <last-data-time>1490888108</last-data-time> <seconds-since-last-clear-counters>0</seconds-since-last-clear-counters> <last-discontinuity-time>1489787915</last-discontinuity-time> <seconds-since-packet-received>4294967295</seconds-since-packet-received> <seconds-since-packet-sent>4294967295</seconds-since-packet-sent> </full-interface-stats> </interface-statistics> <if-index>0</if-index> </interface> </interface-xr> </interfaces> </data> ''') empty_output = {'get.return_value': empty_etree_holder()} def test_empty(self): self.device1 = Mock(**self.empty_output) intf_obj = ShowEthernetTags(device=self.device1) intf_obj.context = Context.yang.value.split() parsed_output = intf_obj.parse() self.assertEqual(parsed_output,self.empty_parsed_output) if __name__ == '__main__': unittest.main()

52.58473

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5.359207

0.042444

0.081356

0.041911

0.013559

0.954299

0.948351

0.939784

0.929831

0.926903

0.925054

0

0.044547

0.281748

56,476

1,074

173

52.58473

0.755424

0

0.910293

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1

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1

null

0

9

9da2a40aaf92cd389d0f1554057abd6bf6bed7b7

1,284

py

Python

two_sum/two_sum_test.py

kevinzen/learning

148129a1ec48e86e74c6ed244ba50ab682ebf00b

[ "MIT" ]

null

two_sum/two_sum_test.py

kevinzen/learning

148129a1ec48e86e74c6ed244ba50ab682ebf00b

[ "MIT" ]

null

two_sum/two_sum_test.py

kevinzen/learning

148129a1ec48e86e74c6ed244ba50ab682ebf00b

[ "MIT" ]

null

import unittest from two_sum.solution import Solution class MyTestCase(unittest.TestCase): def test_two_sum(self): s = Solution() nums = [2,7,11,15] target = 9 result = s.twoSum(nums, target) self.assertEqual(result, [0,1]) nums = [-1,-2,-3,-4,-5] target = -8 result = s.twoSum(nums, target) self.assertEqual(result, [2,4]) def test_two_sum_two_pass_hash(self): s = Solution() nums = [2,7,11,15] target = 9 result = s.twoSumTwoPassHash(nums, target) self.assertEqual(result, [0,1]) nums = [-1,-2,-3,-4,-5] target = -8 result = s.twoSumTwoPassHash(nums, target) self.assertEqual(result, [2,4]) def test_two_sum_one_pass_hash(self): s = Solution() # nums = [2,7,11,15] # target = 9 # result = s.twoSumOnePassHash(nums, target) # self.assertEqual(result, [0,1]) # # # nums = [-1,-2,-3,-4,-5] # target = -8 # result = s.twoSumOnePassHash(nums, target) # self.assertEqual(result, [2,4]) # nums = [3,3] target = 6 result = s.twoSumOnePassHash(nums, target) self.assertEqual(result, [0,1])

22.137931

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0.528816

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1,284

4.188679

0.220126

0.073574

0.147147

0.262763

0.836336

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0.692192

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0.06474

0.326324

1,284

57

53

22.526316

0.705202

0.167445

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0.689655

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0

null

0

1

0

1

0

null

0

1

0

7

d1cc16d682e4eca40ad13070671c8d9cf599a162

102

py

Python

oops/#040_garbageCollection.py

krishankansal/PythonPrograms

6d4d989068195b8c8dd9d71cf4f920fef1177cf2

[ "MIT" ]

null

oops/#040_garbageCollection.py

krishankansal/PythonPrograms

6d4d989068195b8c8dd9d71cf4f920fef1177cf2

[ "MIT" ]

null

oops/#040_garbageCollection.py

krishankansal/PythonPrograms

6d4d989068195b8c8dd9d71cf4f920fef1177cf2

[ "MIT" ]

null

import gc print(gc.isenabled()) gc.disable() print(gc.isenabled()) gc.enable() print(gc.isenabled())

12.75

21

0.715686

15

102

4.866667

0.4

0.287671

0.657534

0.493151

0

0.078431

102

7

22

14.571429

0.776596

0

0.5

0

1

0

true

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0.166667

0

0.166667

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1

0

null

1

0

1

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null

0

1

0

1

0

7

ae06d179d5b9be423275a44eeee9ffa91a442613

22

py

Python

randomstate/prng/mt19937/__init__.py

bashtage/ng-numpy-randomstate

b397db9cb8688b291fc40071ab043009dfa05a85

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

43

2016-02-11T03:38:16.000Z

2022-02-03T10:00:15.000Z

randomstate/prng/mt19937/__init__.py

bashtage/pcg-python

b397db9cb8688b291fc40071ab043009dfa05a85

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

31

2015-12-26T19:47:36.000Z

2018-12-10T15:55:46.000Z

randomstate/prng/mt19937/__init__.py

bashtage/ng-numpy-randomstate

b397db9cb8688b291fc40071ab043009dfa05a85

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

11

2016-04-28T02:00:38.000Z

2020-08-07T10:33:10.000Z

from .mt19937 import *

22

0.772727

3

22

5.666667

1

0

0.263158

0.136364

22

1

22

0.631579

0

1

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true

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1

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1

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null

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1

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null

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1

0

1

0

1

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7

ae479698d6297559d1027e1551aa18bc9d3b6779

25,046

py

Python

code/deep-high-resolution-net.pytorch/lib/core/function.py

SomaKishimoto/AwA-Pose

b9877d538af25d07a6e2f9fa0b5aa2fdf544db99

[ "MIT" ]

12

2021-09-01T16:44:29.000Z

2022-03-25T03:36:47.000Z

code/deep-high-resolution-net.pytorch/lib/core/function.py

SomaKishimoto/AwA-Pose

b9877d538af25d07a6e2f9fa0b5aa2fdf544db99

[ "MIT" ]

1

2021-09-01T15:07:20.000Z

2021-09-01T16:44:09.000Z

code/deep-high-resolution-net.pytorch/lib/core/function.py

SomaKishimoto/AwA-Pose

b9877d538af25d07a6e2f9fa0b5aa2fdf544db99

[ "MIT" ]

1

2021-09-08T07:34:20.000Z

# ------------------------------------------------------------------------------ # Copyright (c) Microsoft # Licensed under the MIT License. # Written by Bin Xiao (Bin.Xiao@microsoft.com) # ------------------------------------------------------------------------------ from __future__ import absolute_import from __future__ import division from __future__ import print_function import time import logging import os import numpy as np import torch from core.evaluate import accuracy, accuracy_bbox from core.inference import get_final_preds from utils.transforms import flip_back from utils.vis import save_debug_images, save_debug_images_w_bbox logger = logging.getLogger(__name__) def train(config, train_loader, model, criterion, optimizer, epoch, output_dir, tb_log_dir, writer_dict): batch_time = AverageMeter() data_time = AverageMeter() losses = AverageMeter() acc = AverageMeter() # switch to train mode model.train() end = time.time() for i, (input, target, target_weight, meta) in enumerate(train_loader): # measure data loading time data_time.update(time.time() - end) # compute output outputs = model(input) target = target.cuda(non_blocking=True) target_weight = target_weight.cuda(non_blocking=True) if isinstance(outputs, list): loss = criterion(outputs[0], target, target_weight) for output in outputs[1:]: loss += criterion(output, target, target_weight) else: output = outputs loss = criterion(output, target, target_weight) # loss = criterion(output, target, target_weight) # compute gradient and do update step optimizer.zero_grad() loss.backward() optimizer.step() # measure accuracy and record loss losses.update(loss.item(), input.size(0)) #_, avg_acc, cnt, pred = accuracy(output.detach().cpu().numpy(), target.detach().cpu().numpy()) bbox = meta['bbox'].numpy() bbox_w = bbox[:, 1,0] - bbox[:, 0,0] bbox_h = bbox[:, 1,1] - bbox[:, 0,1] diagonal = np.sqrt(bbox_w * bbox_w + bbox_h * bbox_h) _, avg_acc, cnt, pred = accuracy_bbox(output.detach().cpu().numpy(), target.detach().cpu().numpy(), scale = None, thr=0.001*diagonal) acc.update(avg_acc, cnt) # measure elapsed time batch_time.update(time.time() - end) end = time.time() if i % config.PRINT_FREQ == 0: msg = 'Epoch: [{0}][{1}/{2}]\t' \ 'Time {batch_time.val:.3f}s ({batch_time.avg:.3f}s)\t' \ 'Speed {speed:.1f} samples/s\t' \ 'Data {data_time.val:.3f}s ({data_time.avg:.3f}s)\t' \ 'Loss {loss.val:.5f} ({loss.avg:.5f})\t' \ 'Accuracy {acc.val:.3f} ({acc.avg:.3f})'.format( epoch, i, len(train_loader), batch_time=batch_time, speed=input.size(0)/batch_time.val, data_time=data_time, loss=losses, acc=acc) logger.info(msg) writer = writer_dict['writer'] global_steps = writer_dict['train_global_steps'] writer.add_scalar('train_loss', losses.val, global_steps) writer.add_scalar('train_acc', acc.val, global_steps) writer_dict['train_global_steps'] = global_steps + 1 prefix = '{}_{}'.format(os.path.join(output_dir, 'train'), i) save_debug_images(config, input, meta, target, pred*4, output, prefix) def validate_old(config, val_loader, val_dataset, model, criterion, output_dir, tb_log_dir, writer_dict=None, thresh = 0.0005, save_pickle=True): batch_time = AverageMeter() losses = AverageMeter() acc = AverageMeter() # switch to evaluate mode model.eval() num_samples = len(val_dataset) all_preds = np.zeros( (num_samples, config.MODEL.NUM_JOINTS, 3), dtype=np.float32 ) all_boxes = np.zeros((num_samples, 6)) all_orig_boxes = np.zeros((num_samples, 2,2)) image_path = [] filenames = [] imgnums = [] idx = 0 ind_accs = [] animal_list = [ 'antelope', 'bobcat', 'buffalo', 'chihuahua', 'collie', 'cow', 'dalmatian', 'deer', 'elephant', 'fox', 'german+shepherd', 'giant+panda', 'giraffe', 'grizzly+bear', 'hippopotamus', 'horse', 'leopard', 'lion', 'moose', 'otter', 'ox', 'persian+cat', 'pig', 'polar+bear', 'rabbit', 'raccoon', 'rhinoceros', 'sheep', 'siamese+cat', 'skunk', 'squirrel', 'tiger', 'weasel', 'wolf', 'zebra'] animal_ids = list(range(8,36)) crnt_animal_id = 8 with torch.no_grad(): end = time.time() for i, (input, target, target_weight, meta) in enumerate(val_loader): # compute output if crnt_animal_id > 0 and animal_list[crnt_animal_id - 1] not in meta['image'][0]: continue outputs = model(input) if isinstance(outputs, list): output = outputs[-1] else: output = outputs if config.TEST.FLIP_TEST: # this part is ugly, because pytorch has not supported negative index # input_flipped = model(input[:, :, :, ::-1]) input_flipped = np.flip(input.cpu().numpy(), 3).copy() input_flipped = torch.from_numpy(input_flipped).cuda() outputs_flipped = model(input_flipped) if isinstance(outputs_flipped, list): output_flipped = outputs_flipped[-1] else: output_flipped = outputs_flipped output_flipped = flip_back(output_flipped.cpu().numpy(), val_dataset.flip_pairs) output_flipped = torch.from_numpy(output_flipped.copy()).cuda() # feature is not aligned, shift flipped heatmap for higher accuracy if config.TEST.SHIFT_HEATMAP: output_flipped[:, :, :, 1:] = \ output_flipped.clone()[:, :, :, 0:-1] output = (output + output_flipped) * 0.5 target = target.cuda(non_blocking=True) target_weight = target_weight.cuda(non_blocking=True) loss = criterion(output, target, target_weight) c = meta['center'].numpy() s = meta['scale'].numpy() score = meta['score'].numpy() bbox = meta['bbox'].numpy() #import ipdb; ipdb.set_trace() #exit(0) num_images = input.size(0) # measure accuracy and record loss losses.update(loss.item(), num_images) #w_h_original = (s[:, [1, 0]] * 200.0) / 1.25 #diagonal = np.sqrt(s[:, 0] * s[:, 0] + s[:, 1] * s[:, 1]) bbox_w = bbox[:, 1,0] - bbox[:, 0,0] bbox_h = bbox[:, 1,1] - bbox[:, 0,1] diagonal = np.sqrt(bbox_w * bbox_w + bbox_h * bbox_h) ind_acc, avg_acc, cnt, pred = accuracy_bbox(output.cpu().numpy(), target.cpu().numpy(), scale = s[:, [1, 0]], thr=thresh*diagonal) # swapping (w,h) to (h,w) ind_accs.append(ind_acc[1:]) #print(avg_acc) acc.update(avg_acc, cnt) # measure elapsed time batch_time.update(time.time() - end) end = time.time() preds, maxvals = get_final_preds( config, output.clone().cpu().numpy(), c, s) all_preds[idx:idx + num_images, :, 0:2] = preds[:, :, 0:2] all_preds[idx:idx + num_images, :, 2:3] = maxvals # double check this all_boxes parts all_boxes[idx:idx + num_images, 0:2] = c[:, 0:2] all_boxes[idx:idx + num_images, 2:4] = s[:, 0:2] all_boxes[idx:idx + num_images, 4] = np.prod(s*200, 1) all_boxes[idx:idx + num_images, 5] = score image_path.extend(meta['image']) #saving pickles #if save_pickle: # save_pred_pickle(config, input, meta, target, pred*4, output, prefix) idx += num_images if False:#i % config.PRINT_FREQ == 0: msg = 'Test: [{0}/{1}]\t' \ 'Time {batch_time.val:.3f} ({batch_time.avg:.3f})\t' \ 'Loss {loss.val:.4f} ({loss.avg:.4f})\t' \ 'Accuracy {acc.val:.3f} ({acc.avg:.3f})'.format( i, len(val_loader), batch_time=batch_time, loss=losses, acc=acc) logger.info(msg) prefix = '{}_{}'.format( os.path.join(output_dir, 'val'), i ) #save_debug_images(config, input, meta, target, pred*4, output, prefix) save_debug_images_w_bbox(config, input, meta, target, pred*4, output, prefix) #import ipdb; ipdb.set_trace() #exit(0) if False: name_values, perf_indicator = val_dataset.evaluate( config, all_preds, output_dir, all_boxes, image_path, filenames, imgnums ) model_name = config.MODEL.NAME if isinstance(name_values, list): for name_value in name_values: _print_name_value(name_value, model_name) else: _print_name_value(name_values, model_name) if writer_dict: writer = writer_dict['writer'] global_steps = writer_dict['valid_global_steps'] writer.add_scalar( 'valid_loss', losses.avg, global_steps ) writer.add_scalar( 'valid_acc', acc.avg, global_steps ) if isinstance(name_values, list): for name_value in name_values: writer.add_scalars( 'valid', dict(name_value), global_steps ) else: writer.add_scalars( 'valid', dict(name_values), global_steps ) writer_dict['valid_global_steps'] = global_steps + 1 else: perf_indicator = 100 #return perf_indicator print('Average PCK @ '+ str(thresh) +'= ', acc.avg) ind_acc = [0]*len(ind_acc[1:]) ind_acc_count = [0]*len(ind_acc) for ind_batch in ind_accs: for i, val in enumerate(ind_batch): if val >= 0: ind_acc_count[i] += 1 ind_acc[i] += val for i in range(len(ind_acc)): #import ipdb; ipdb.set_trace() #exit(0) if ind_acc_count[i] == 0: ind_acc[i] = -1 else: ind_acc[i] = ind_acc[i] / float(ind_acc_count[i]) # import ipdb; ipdb.set_trace() # exit(0) print("Independent keypoint accuracy: ",ind_acc) with open('Individual_Keypoint_Accuracy.txt', 'w') as f: for item in ind_acc: f.write("%s\n" % item) return acc.avg def validate(config, val_loader, val_dataset, model, criterion, output_dir, tb_log_dir, writer_dict=None, thresh = 0.0005, save_pickle=True): animal_list = [ 'antelope', 'bobcat', 'buffalo', 'chihuahua', 'collie', 'cow', 'dalmatian', 'deer', 'elephant', 'fox', 'german+shepherd', 'giant+panda', 'giraffe', 'grizzly+bear', 'hippopotamus', 'horse', 'leopard', 'lion', 'moose', 'otter', 'ox', 'persian+cat', 'pig', 'polar+bear', 'rabbit', 'raccoon', 'rhinoceros', 'sheep', 'siamese+cat', 'skunk', 'squirrel', 'tiger', 'weasel', 'wolf', 'zebra', 'all'] animal_ids = list(range(1,36)) #crnt_animal_id = 8 for crnt_animal_id in animal_ids: batch_time = AverageMeter() losses = AverageMeter() acc = AverageMeter() # switch to evaluate mode model.eval() num_samples = len(val_dataset) all_preds = np.zeros( (num_samples, config.MODEL.NUM_JOINTS, 3), dtype=np.float32 ) all_boxes = np.zeros((num_samples, 6)) all_orig_boxes = np.zeros((num_samples, 2,2)) image_path = [] filenames = [] imgnums = [] idx = 0 ind_accs = [] with torch.no_grad(): end = time.time() for i, (input, target, target_weight, meta) in enumerate(val_loader): # compute output # import ipdb; ipdb.set_trace() # exit(0) if crnt_animal_id > 0 and not meta['image'][0].split('/')[-1].startswith(animal_list[crnt_animal_id - 1]): continue outputs = model(input) if isinstance(outputs, list): output = outputs[-1] else: output = outputs if config.TEST.FLIP_TEST: # this part is ugly, because pytorch has not supported negative index # input_flipped = model(input[:, :, :, ::-1]) input_flipped = np.flip(input.cpu().numpy(), 3).copy() input_flipped = torch.from_numpy(input_flipped).cuda() outputs_flipped = model(input_flipped) if isinstance(outputs_flipped, list): output_flipped = outputs_flipped[-1] else: output_flipped = outputs_flipped output_flipped = flip_back(output_flipped.cpu().numpy(), val_dataset.flip_pairs) output_flipped = torch.from_numpy(output_flipped.copy()).cuda() # feature is not aligned, shift flipped heatmap for higher accuracy if config.TEST.SHIFT_HEATMAP: output_flipped[:, :, :, 1:] = \ output_flipped.clone()[:, :, :, 0:-1] output = (output + output_flipped) * 0.5 target = target.cuda(non_blocking=True) target_weight = target_weight.cuda(non_blocking=True) loss = criterion(output, target, target_weight) c = meta['center'].numpy() s = meta['scale'].numpy() score = meta['score'].numpy() bbox = meta['bbox'].numpy() num_images = input.size(0) # measure accuracy and record loss losses.update(loss.item(), num_images) #w_h_original = (s[:, [1, 0]] * 200.0) / 1.25 #diagonal = np.sqrt(s[:, 0] * s[:, 0] + s[:, 1] * s[:, 1]) bbox_w = bbox[:, 1,0] - bbox[:, 0,0] bbox_h = bbox[:, 1,1] - bbox[:, 0,1] diagonal = np.sqrt(bbox_w * bbox_w + bbox_h * bbox_h) ind_acc, avg_acc, cnt, pred = accuracy_bbox(output.cpu().numpy(), target.cpu().numpy(), scale = s[:, [1, 0]], thr=thresh*diagonal) # swapping (w,h) to (h,w) ind_accs.append(ind_acc[1:]) #print(avg_acc) acc.update(avg_acc, cnt) # measure elapsed time batch_time.update(time.time() - end) end = time.time() preds, maxvals = get_final_preds( config, output.clone().cpu().numpy(), c, s) all_preds[idx:idx + num_images, :, 0:2] = preds[:, :, 0:2] all_preds[idx:idx + num_images, :, 2:3] = maxvals # double check this all_boxes parts all_boxes[idx:idx + num_images, 0:2] = c[:, 0:2] all_boxes[idx:idx + num_images, 2:4] = s[:, 0:2] all_boxes[idx:idx + num_images, 4] = np.prod(s*200, 1) all_boxes[idx:idx + num_images, 5] = score image_path.extend(meta['image']) #saving pickles #if save_pickle: # save_pred_pickle(config, input, meta, target, pred*4, output, prefix) idx += num_images if avg_acc < 0.35:#i % config.PRINT_FREQ == 0: msg = 'Test: [{0}/{1}]\t' \ 'Time {batch_time.val:.3f} ({batch_time.avg:.3f})\t' \ 'Loss {loss.val:.4f} ({loss.avg:.4f})\t' \ 'Accuracy {acc.val:.3f} ({acc.avg:.3f})'.format( i, len(val_loader), batch_time=batch_time, loss=losses, acc=acc) logger.info(msg) prefix = '{}_{}'.format( os.path.join(output_dir, 'bad', animal_list[crnt_animal_id - 1]), i ) #save_debug_images(config, input, meta, target, pred*4, output, prefix) # output heatmap size becomes 4 times smaller than the input image save_debug_images_w_bbox(config, input, meta, target, pred*4, output, prefix) # import ipdb; ipdb.set_trace() # exit(0) if False: name_values, perf_indicator = val_dataset.evaluate( config, all_preds, output_dir, all_boxes, image_path, filenames, imgnums ) model_name = config.MODEL.NAME if isinstance(name_values, list): for name_value in name_values: _print_name_value(name_value, model_name) else: _print_name_value(name_values, model_name) if writer_dict: writer = writer_dict['writer'] global_steps = writer_dict['valid_global_steps'] writer.add_scalar( 'valid_loss', losses.avg, global_steps ) writer.add_scalar( 'valid_acc', acc.avg, global_steps ) if isinstance(name_values, list): for name_value in name_values: writer.add_scalars( 'valid', dict(name_value), global_steps ) else: writer.add_scalars( 'valid', dict(name_values), global_steps ) writer_dict['valid_global_steps'] = global_steps + 1 else: perf_indicator = 100 #return perf_indicator print('Average PCK @ '+ str(thresh) +'= ', acc.avg) ind_acc = [0]*len(ind_acc[1:]) ind_acc_count = [0]*len(ind_acc) for ind_batch in ind_accs: for i, val in enumerate(ind_batch): if val >= 0: ind_acc_count[i] += 1 ind_acc[i] += val for i in range(len(ind_acc)): #import ipdb; ipdb.set_trace() #exit(0) if ind_acc_count[i] == 0: ind_acc[i] = -1 else: ind_acc[i] = ind_acc[i] / float(ind_acc_count[i]) # import ipdb; ipdb.set_trace() # exit(0) print("Independent keypoint accuracy of " + animal_list[crnt_animal_id - 1] +": ",ind_acc) with open('Individual_Keypoint_Accuracy_'+ animal_list[crnt_animal_id - 1] +'.txt', 'w') as f: for item in ind_acc: f.write("%s\n" % item) return acc.avg def generate_predited_keypoints_and_vis(config, img, model, output_dir, tb_log_dir): # switch to evaluate mode model.eval() num_samples = len(val_dataset) all_preds = np.zeros( (num_samples, config.MODEL.NUM_JOINTS, 3), dtype=np.float32 ) all_boxes = np.zeros((num_samples, 6)) all_orig_boxes = np.zeros((num_samples, 2,2)) image_path = [] filenames = [] imgnums = [] idx = 0 ind_accs = [] with torch.no_grad(): end = time.time() for i, (input, target, target_weight, meta) in enumerate(val_loader): # compute output outputs = model(input) if isinstance(outputs, list): output = outputs[-1] else: output = outputs target = target.cuda(non_blocking=True) target_weight = target_weight.cuda(non_blocking=True) loss = criterion(output, target, target_weight) c = meta['center'].numpy() s = meta['scale'].numpy() score = meta['score'].numpy() bbox = meta['bbox'].numpy() num_images = input.size(0) # measure accuracy and record loss losses.update(loss.item(), num_images) #w_h_original = (s[:, [1, 0]] * 200.0) / 1.25 #diagonal = np.sqrt(s[:, 0] * s[:, 0] + s[:, 1] * s[:, 1]) bbox_w = bbox[:, 1,0] - bbox[:, 0,0] bbox_h = bbox[:, 1,1] - bbox[:, 0,1] diagonal = np.sqrt(bbox_w * bbox_w + bbox_h * bbox_h) ind_acc, avg_acc, cnt, pred = accuracy_bbox(output.cpu().numpy(), target.cpu().numpy(), scale = s[:, [1, 0]], thr=thresh*diagonal) # swapping (w,h) to (h,w) ind_accs.append(ind_acc[1:]) #print(avg_acc) acc.update(avg_acc, cnt) # measure elapsed time batch_time.update(time.time() - end) end = time.time() preds, maxvals = get_final_preds( config, output.clone().cpu().numpy(), c, s) all_preds[idx:idx + num_images, :, 0:2] = preds[:, :, 0:2] all_preds[idx:idx + num_images, :, 2:3] = maxvals # double check this all_boxes parts all_boxes[idx:idx + num_images, 0:2] = c[:, 0:2] all_boxes[idx:idx + num_images, 2:4] = s[:, 0:2] all_boxes[idx:idx + num_images, 4] = np.prod(s*200, 1) all_boxes[idx:idx + num_images, 5] = score image_path.extend(meta['image']) #saving pickles #if save_pickle: # save_pred_pickle(config, input, meta, target, pred*4, output, prefix) idx += num_images save_debug_images_w_bbox(config, input, meta, target, pred*4, output, prefix) #import ipdb; ipdb.set_trace() #exit(0) # markdown format output def _print_name_value(name_value, full_arch_name): names = name_value.keys() values = name_value.values() num_values = len(name_value) logger.info( '| Arch ' + ' '.join(['| {}'.format(name) for name in names]) + ' |' ) logger.info('|---' * (num_values+1) + '|') if len(full_arch_name) > 15: full_arch_name = full_arch_name[:8] + '...' logger.info( '| ' + full_arch_name + ' ' + ' '.join(['| {:.3f}'.format(value) for value in values]) + ' |' ) class AverageMeter(object): """Computes and stores the average and current value""" def __init__(self): self.reset() def reset(self): self.val = 0 self.avg = 0 self.sum = 0 self.count = 0 def update(self, val, n=1): self.val = val self.sum += val * n self.count += n self.avg = self.sum / self.count if self.count != 0 else 0

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0.810741

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0.762354

0

0.019991

0.386848

25,046

724

140

34.593923

0.739012

0.113751

0

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ee200662df24422db2e54f177688bb972e4ac43a

37,191

py

Python

leiaapi/generated/api/annotation_api.py

labinnovationdocapost/leia-api-python-sdk

6001dce68362d4e836b57e52d4da17710f25ed12

[ "MIT" ]

null

leiaapi/generated/api/annotation_api.py

labinnovationdocapost/leia-api-python-sdk

6001dce68362d4e836b57e52d4da17710f25ed12

[ "MIT" ]

null

leiaapi/generated/api/annotation_api.py

labinnovationdocapost/leia-api-python-sdk

6001dce68362d4e836b57e52d4da17710f25ed12

[ "MIT" ]

null

# coding: utf-8 """ LEIA RESTful API for AI Leia API # noqa: E501 OpenAPI spec version: 1.0.0 Contact: contact@leia.io Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from leiaapi.generated.api_client import ApiClient class AnnotationApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def create_annotation(self, body, token, annotation_type, document_id, **kwargs): # noqa: E501 """Creates an annotation # noqa: E501 Creates an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_annotation(body, token, annotation_type, document_id, async_req=True) >>> result = thread.get() :param async_req bool :param object body: The prediction that should be associated to document in this annotation, in free form json (required) :param str token: The login token obtained via GET /login/{api_key} (required) :param AnnotationTypes annotation_type: The type of the annotation (required) :param str document_id: The id of the document to annotate (required) :param str name: The name of the annotation (for information purposes only) :param list[str] tags: The tags of the annotation :return: Annotation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_annotation_with_http_info(body, token, annotation_type, document_id, **kwargs) # noqa: E501 else: (data) = self.create_annotation_with_http_info(body, token, annotation_type, document_id, **kwargs) # noqa: E501 return data def create_annotation_with_http_info(self, body, token, annotation_type, document_id, **kwargs): # noqa: E501 """Creates an annotation # noqa: E501 Creates an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_annotation_with_http_info(body, token, annotation_type, document_id, async_req=True) >>> result = thread.get() :param async_req bool :param object body: The prediction that should be associated to document in this annotation, in free form json (required) :param str token: The login token obtained via GET /login/{api_key} (required) :param AnnotationTypes annotation_type: The type of the annotation (required) :param str document_id: The id of the document to annotate (required) :param str name: The name of the annotation (for information purposes only) :param list[str] tags: The tags of the annotation :return: Annotation If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'token', 'annotation_type', 'document_id', 'name', 'tags'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_annotation" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_annotation`") # noqa: E501 # verify the required parameter 'token' is set if ('token' not in params or params['token'] is None): raise ValueError("Missing the required parameter `token` when calling `create_annotation`") # noqa: E501 # verify the required parameter 'annotation_type' is set if ('annotation_type' not in params or params['annotation_type'] is None): raise ValueError("Missing the required parameter `annotation_type` when calling `create_annotation`") # noqa: E501 # verify the required parameter 'document_id' is set if ('document_id' not in params or params['document_id'] is None): raise ValueError("Missing the required parameter `document_id` when calling `create_annotation`") # noqa: E501 collection_formats = {} path_params = {} if 'document_id' in params: path_params['document_id'] = params['document_id'] # noqa: E501 query_params = [] if 'annotation_type' in params: query_params.append(('annotation_type', params['annotation_type'])) # noqa: E501 if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'tags' in params: query_params.append(('tags', params['tags'])) # noqa: E501 collection_formats['tags'] = 'multi' # noqa: E501 header_params = {} if 'token' in params: header_params['token'] = params['token'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/annotation/{document_id}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Annotation', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_annotation(self, token, annotation_id, **kwargs): # noqa: E501 """Deletes an annotation # noqa: E501 Deletes an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_annotation(token, annotation_id, async_req=True) >>> result = thread.get() :param async_req bool :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: The id of the annotation (for information purposes only) (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_annotation_with_http_info(token, annotation_id, **kwargs) # noqa: E501 else: (data) = self.delete_annotation_with_http_info(token, annotation_id, **kwargs) # noqa: E501 return data def delete_annotation_with_http_info(self, token, annotation_id, **kwargs): # noqa: E501 """Deletes an annotation # noqa: E501 Deletes an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_annotation_with_http_info(token, annotation_id, async_req=True) >>> result = thread.get() :param async_req bool :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: The id of the annotation (for information purposes only) (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['token', 'annotation_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_annotation" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'token' is set if ('token' not in params or params['token'] is None): raise ValueError("Missing the required parameter `token` when calling `delete_annotation`") # noqa: E501 # verify the required parameter 'annotation_id' is set if ('annotation_id' not in params or params['annotation_id'] is None): raise ValueError("Missing the required parameter `annotation_id` when calling `delete_annotation`") # noqa: E501 collection_formats = {} path_params = {} if 'annotation_id' in params: path_params['annotation_id'] = params['annotation_id'] # noqa: E501 query_params = [] header_params = {} if 'token' in params: header_params['token'] = params['token'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/annotation/{annotation_id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_annotation(self, token, annotation_id, **kwargs): # noqa: E501 """Retrieves an annotation # noqa: E501 Retrieves an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_annotation(token, annotation_id, async_req=True) >>> result = thread.get() :param async_req bool :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: The id of the annotation (for information purposes only) (required) :return: Annotation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_annotation_with_http_info(token, annotation_id, **kwargs) # noqa: E501 else: (data) = self.get_annotation_with_http_info(token, annotation_id, **kwargs) # noqa: E501 return data def get_annotation_with_http_info(self, token, annotation_id, **kwargs): # noqa: E501 """Retrieves an annotation # noqa: E501 Retrieves an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_annotation_with_http_info(token, annotation_id, async_req=True) >>> result = thread.get() :param async_req bool :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: The id of the annotation (for information purposes only) (required) :return: Annotation If the method is called asynchronously, returns the request thread. """ all_params = ['token', 'annotation_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_annotation" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'token' is set if ('token' not in params or params['token'] is None): raise ValueError("Missing the required parameter `token` when calling `get_annotation`") # noqa: E501 # verify the required parameter 'annotation_id' is set if ('annotation_id' not in params or params['annotation_id'] is None): raise ValueError("Missing the required parameter `annotation_id` when calling `get_annotation`") # noqa: E501 collection_formats = {} path_params = {} if 'annotation_id' in params: path_params['annotation_id'] = params['annotation_id'] # noqa: E501 query_params = [] header_params = {} if 'token' in params: header_params['token'] = params['token'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/annotation/{annotation_id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Annotation', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_annotations(self, token, **kwargs): # noqa: E501 """Retrieves annotations (paginated) # noqa: E501 Retrieves annotations # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_annotations(token, async_req=True) >>> result = thread.get() :param async_req bool :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: If specified, filters the annotations id :param AnnotationTypes annotation_type: If specified, filters the annotations by type :param str name: If specified, filters the annotations by name :param list[str] tags: If specified, filters the annotations by tag :param str document_id: If specified, filters the annotations attached to a given document :param datetime created_after: If specified, keeps only annotations created after given UTC timestamp (ISO 8601 format : yyyy-MM-ddThh:mm:ss) :param datetime created_before: If specified, keeps only annotations created before given UTC timestamp (ISO 8601 format : yyyy-MM-ddThh:mm:ss) :param int offset: Number of the first annotation to send (pagination) :param int limit: Maximum number of annotation to send (pagination) :return: list[Annotation] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_annotations_with_http_info(token, **kwargs) # noqa: E501 else: (data) = self.get_annotations_with_http_info(token, **kwargs) # noqa: E501 return data def get_annotations_with_http_info(self, token, **kwargs): # noqa: E501 """Retrieves annotations (paginated) # noqa: E501 Retrieves annotations # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_annotations_with_http_info(token, async_req=True) >>> result = thread.get() :param async_req bool :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: If specified, filters the annotations id :param AnnotationTypes annotation_type: If specified, filters the annotations by type :param str name: If specified, filters the annotations by name :param list[str] tags: If specified, filters the annotations by tag :param str document_id: If specified, filters the annotations attached to a given document :param datetime created_after: If specified, keeps only annotations created after given UTC timestamp (ISO 8601 format : yyyy-MM-ddThh:mm:ss) :param datetime created_before: If specified, keeps only annotations created before given UTC timestamp (ISO 8601 format : yyyy-MM-ddThh:mm:ss) :param int offset: Number of the first annotation to send (pagination) :param int limit: Maximum number of annotation to send (pagination) :return: list[Annotation] If the method is called asynchronously, returns the request thread. """ all_params = ['token', 'annotation_id', 'annotation_type', 'name', 'tags', 'document_id', 'created_after', 'created_before', 'offset', 'limit'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_annotations" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'token' is set if ('token' not in params or params['token'] is None): raise ValueError("Missing the required parameter `token` when calling `get_annotations`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'annotation_id' in params: query_params.append(('annotation_id', params['annotation_id'])) # noqa: E501 if 'annotation_type' in params: query_params.append(('annotation_type', params['annotation_type'])) # noqa: E501 if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'tags' in params: query_params.append(('tags', params['tags'])) # noqa: E501 collection_formats['tags'] = 'multi' # noqa: E501 if 'document_id' in params: query_params.append(('document_id', params['document_id'])) # noqa: E501 if 'created_after' in params: query_params.append(('created_after', params['created_after'])) # noqa: E501 if 'created_before' in params: query_params.append(('created_before', params['created_before'])) # noqa: E501 if 'offset' in params: query_params.append(('offset', params['offset'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 header_params = {} if 'token' in params: header_params['token'] = params['token'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/annotation', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Annotation]', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def tag_annotation(self, token, annotation_id, tag, **kwargs): # noqa: E501 """Tags an annotation # noqa: E501 Tags an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.tag_annotation(token, annotation_id, tag, async_req=True) >>> result = thread.get() :param async_req bool :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: The id of the annotation (required) :param str tag: The tag to add to the annotation (required) :return: Annotation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.tag_annotation_with_http_info(token, annotation_id, tag, **kwargs) # noqa: E501 else: (data) = self.tag_annotation_with_http_info(token, annotation_id, tag, **kwargs) # noqa: E501 return data def tag_annotation_with_http_info(self, token, annotation_id, tag, **kwargs): # noqa: E501 """Tags an annotation # noqa: E501 Tags an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.tag_annotation_with_http_info(token, annotation_id, tag, async_req=True) >>> result = thread.get() :param async_req bool :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: The id of the annotation (required) :param str tag: The tag to add to the annotation (required) :return: Annotation If the method is called asynchronously, returns the request thread. """ all_params = ['token', 'annotation_id', 'tag'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method tag_annotation" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'token' is set if ('token' not in params or params['token'] is None): raise ValueError("Missing the required parameter `token` when calling `tag_annotation`") # noqa: E501 # verify the required parameter 'annotation_id' is set if ('annotation_id' not in params or params['annotation_id'] is None): raise ValueError("Missing the required parameter `annotation_id` when calling `tag_annotation`") # noqa: E501 # verify the required parameter 'tag' is set if ('tag' not in params or params['tag'] is None): raise ValueError("Missing the required parameter `tag` when calling `tag_annotation`") # noqa: E501 collection_formats = {} path_params = {} if 'annotation_id' in params: path_params['annotation_id'] = params['annotation_id'] # noqa: E501 if 'tag' in params: path_params['tag'] = params['tag'] # noqa: E501 query_params = [] header_params = {} if 'token' in params: header_params['token'] = params['token'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/annotation/{annotation_id}/tag/{tag}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Annotation', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def untag_annotation(self, token, annotation_id, tag, **kwargs): # noqa: E501 """Untags an annotation # noqa: E501 Untags an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.untag_annotation(token, annotation_id, tag, async_req=True) >>> result = thread.get() :param async_req bool :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: The id of the annotation (required) :param str tag: The tag to delete from the annotation (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.untag_annotation_with_http_info(token, annotation_id, tag, **kwargs) # noqa: E501 else: (data) = self.untag_annotation_with_http_info(token, annotation_id, tag, **kwargs) # noqa: E501 return data def untag_annotation_with_http_info(self, token, annotation_id, tag, **kwargs): # noqa: E501 """Untags an annotation # noqa: E501 Untags an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.untag_annotation_with_http_info(token, annotation_id, tag, async_req=True) >>> result = thread.get() :param async_req bool :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: The id of the annotation (required) :param str tag: The tag to delete from the annotation (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['token', 'annotation_id', 'tag'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method untag_annotation" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'token' is set if ('token' not in params or params['token'] is None): raise ValueError("Missing the required parameter `token` when calling `untag_annotation`") # noqa: E501 # verify the required parameter 'annotation_id' is set if ('annotation_id' not in params or params['annotation_id'] is None): raise ValueError("Missing the required parameter `annotation_id` when calling `untag_annotation`") # noqa: E501 # verify the required parameter 'tag' is set if ('tag' not in params or params['tag'] is None): raise ValueError("Missing the required parameter `tag` when calling `untag_annotation`") # noqa: E501 collection_formats = {} path_params = {} if 'annotation_id' in params: path_params['annotation_id'] = params['annotation_id'] # noqa: E501 if 'tag' in params: path_params['tag'] = params['tag'] # noqa: E501 query_params = [] header_params = {} if 'token' in params: header_params['token'] = params['token'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/annotation/{annotation_id}/tag/{tag}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def update_annotation(self, body, token, annotation_id, **kwargs): # noqa: E501 """Updates an annotation # noqa: E501 Updates an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_annotation(body, token, annotation_id, async_req=True) >>> result = thread.get() :param async_req bool :param object body: The new prediction that should be associated to document in this annotation, in free form json (required) :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: The id of the annotation to modify (required) :param str name: The new name of the annotation (won't change if not set) :return: Annotation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.update_annotation_with_http_info(body, token, annotation_id, **kwargs) # noqa: E501 else: (data) = self.update_annotation_with_http_info(body, token, annotation_id, **kwargs) # noqa: E501 return data def update_annotation_with_http_info(self, body, token, annotation_id, **kwargs): # noqa: E501 """Updates an annotation # noqa: E501 Updates an annotation # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_annotation_with_http_info(body, token, annotation_id, async_req=True) >>> result = thread.get() :param async_req bool :param object body: The new prediction that should be associated to document in this annotation, in free form json (required) :param str token: The login token obtained via GET /login/{api_key} (required) :param str annotation_id: The id of the annotation to modify (required) :param str name: The new name of the annotation (won't change if not set) :return: Annotation If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'token', 'annotation_id', 'name'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_annotation" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `update_annotation`") # noqa: E501 # verify the required parameter 'token' is set if ('token' not in params or params['token'] is None): raise ValueError("Missing the required parameter `token` when calling `update_annotation`") # noqa: E501 # verify the required parameter 'annotation_id' is set if ('annotation_id' not in params or params['annotation_id'] is None): raise ValueError("Missing the required parameter `annotation_id` when calling `update_annotation`") # noqa: E501 collection_formats = {} path_params = {} if 'annotation_id' in params: path_params['annotation_id'] = params['annotation_id'] # noqa: E501 query_params = [] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 header_params = {} if 'token' in params: header_params['token'] = params['token'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/annotation/{annotation_id}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Annotation', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

44.433692

165

0.622274

4,383

37,191

5.082592

0.048141

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0.037168

0.022624

0.963191

0.954886

0.94124

0.932621

0.925484

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0

0.016225

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37,191

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0

null

0

1

0

1

0

null

0

8

ee2991b5072eb86974c01494cfe15dbadbb80933

70

py

Python

apps/profiles/test/test_admin.py

ecoo-app/ecoo-backend

ffe54abcd2e8c1a18ef2fa992c45a10f8232a4a0

[ "MIT" ]

1

2021-03-31T18:25:44.000Z

apps/profiles/test/test_admin.py

ecoo-app/ecoo-backend

ffe54abcd2e8c1a18ef2fa992c45a10f8232a4a0

[ "MIT" ]

null

apps/profiles/test/test_admin.py

ecoo-app/ecoo-backend

ffe54abcd2e8c1a18ef2fa992c45a10f8232a4a0

[ "MIT" ]

1

2021-01-14T09:27:42.000Z

# TODO:FIXME: add tests for the admin pages and for the admin actions

35

69

0.771429

13

70

4.153846

0.769231

0.222222

0.407407

0

0.185714

70

1

70

0.947368

0.957143

0

null

0

null

0

null

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null

true

0

null

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null

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0

1

0

null

0

1

0

1

0

7

c9da5abc3fe858a3c3a1ca9ab636077eeea8be8f

102

py

Python

server/commands/__init__.py

griseduardo/Facial-Recognition-Database-Management-System

5d451791cb131164930cc4f886ec6300d88a8c67

[ "MIT" ]

6

2021-09-13T13:45:49.000Z

2021-12-20T15:36:10.000Z

server/commands/__init__.py

griseduardo/Facial-Recognition-Database-Management-System

5d451791cb131164930cc4f886ec6300d88a8c67

[ "MIT" ]

31

2021-09-11T05:52:56.000Z

2021-11-07T14:35:41.000Z

server/commands/__init__.py

griseduardo/Facial-Recognition-Database-Management-System

5d451791cb131164930cc4f886ec6300d88a8c67

[ "MIT" ]

2

2021-09-13T04:08:05.000Z

2021-09-26T04:06:53.000Z

from .build import cli as build_cli from .data import cli as data_cli from .dev import cli as dev_cli

25.5

35

0.794118

21

102

3.714286

0.333333

0.346154

0.423077

0

0.176471

102

3

36

34

0.928571

0

1

0

true

0

1

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1

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1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

c9de76fbaeb4d23eb423c491d7aee3cfbb73f205

151

py

Python

garagepi/framework/usecase/__init__.py

constructorfleet/GaragePi-Assistant

e648e853472adfb3e0a97d8ffbcdf9453f666d6a

[ "MIT" ]

null

garagepi/framework/usecase/__init__.py

constructorfleet/GaragePi-Assistant

e648e853472adfb3e0a97d8ffbcdf9453f666d6a

[ "MIT" ]

null

garagepi/framework/usecase/__init__.py

constructorfleet/GaragePi-Assistant

e648e853472adfb3e0a97d8ffbcdf9453f666d6a

[ "MIT" ]

null

"""Use case frameworks.""" from garagepi.framework.usecase.UseCase import UseCase from garagepi.framework.usecase.CommandUseCase import CommandUseCase

37.75

68

0.84106

17

151

7.470588

0.529412

0.188976

0.330709

0.440945

0

0.072848

151

4

68

37.75

0.907143

0.13245

0

1

0

true

0

1

0

1

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1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

4e78e3258c37091c21d4e1273e18766e76802d5a

7,179

py

Python

tests/resources/test_conferences.py

vaibhav-plivo/plivo-python

e4ae7559ba4647ac0e1af523c94d49a3fd6a24ca

[ "MIT" ]

null

tests/resources/test_conferences.py

vaibhav-plivo/plivo-python

e4ae7559ba4647ac0e1af523c94d49a3fd6a24ca

[ "MIT" ]

10

2020-10-19T06:47:45.000Z

2021-06-25T15:41:34.000Z

tests/resources/test_conferences.py

vaibhav-plivo/plivo-python

e4ae7559ba4647ac0e1af523c94d49a3fd6a24ca

[ "MIT" ]

null

# -*- coding: utf-8 -*- from tests.decorators import with_response from .. import PlivoResourceTestCase conference_name = 'My Conf Room' member_id = 'Test Member ID' class ConferenceTest(PlivoResourceTestCase): @with_response(200) def test_get(self): conference = self.client.conferences.get(conference_name) self.assertResponseMatches(conference) self.assertEqual(self.client.current_request.method, 'GET') self.assertUrlEqual( self.get_url('Conference', conference_name), self.client.current_request.url) self.assertEqual(conference.conference_name, conference_name) @with_response(204) def test_delete(self): self.client.conferences.delete(conference_name) self.assertEqual(self.client.current_request.method, 'DELETE') self.assertUrlEqual( self.get_url('Conference', conference_name), self.client.current_request.url) @with_response(204) def test_delete_all(self): self.client.conferences.delete_all() self.assertEqual(self.client.current_request.method, 'DELETE') self.assertUrlEqual( self.get_url('Conference'), self.client.current_request.url) @with_response(204, method_name='delete') def test_hangup(self): self.client.conferences.hangup(conference_name) self.assertEqual(self.client.current_request.method, 'DELETE') self.assertUrlEqual( self.get_url('Conference', conference_name), self.client.current_request.url) @with_response(204, method_name='delete_all') def test_hangup_all(self): self.client.conferences.hangup_all() self.assertEqual(self.client.current_request.method, 'DELETE') self.assertUrlEqual( self.get_url('Conference'), self.client.current_request.url) @with_response(200) def test_list(self): self.client.conferences.list() self.assertEqual(self.client.current_request.method, 'GET') self.assertUrlEqual( self.get_url('Conference'), self.client.current_request.url) @with_response(202) def test_record_create(self): self.client.conferences.record( conference_name=conference_name, file_format='mp3', transcription_url='http://example.transcription.url') self.assertEqual(self.client.current_request.method, 'POST') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Record'), self.client.current_request.url) @with_response(204) def test_record_delete(self): self.client.conferences.record_stop(conference_name=conference_name) self.assertEqual(self.client.current_request.method, 'DELETE') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Record'), self.client.current_request.url) class ConferenceMemberTest(PlivoResourceTestCase): @with_response(202) def test_deaf_create(self): self.client.conferences.member_deaf( conference_name=conference_name, member_id=member_id) self.assertEqual(self.client.current_request.method, 'POST') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Member', member_id, 'Deaf'), self.client.current_request.url) @with_response(202) def test_speak_create(self): self.client.conferences.member_speak( conference_name=conference_name, member_id=member_id, text='Hello World!') self.assertEqual(self.client.current_request.method, 'POST') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Member', member_id, 'Speak'), self.client.current_request.url) @with_response(202) def test_play_create(self): self.client.conferences.member_play( conference_name=conference_name, member_id=member_id, url='http://url.to.sound') self.assertEqual(self.client.current_request.method, 'POST') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Member', member_id, 'Play'), self.client.current_request.url) @with_response(202) def test_mute_create(self): self.client.conferences.member_mute( conference_name=conference_name, member_id=member_id) self.assertEqual(self.client.current_request.method, 'POST') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Member', member_id, 'Mute'), self.client.current_request.url) @with_response(204) def test_mute_delete(self): self.client.conferences.member_mute_stop( conference_name=conference_name, member_id=member_id) self.assertEqual(self.client.current_request.method, 'DELETE') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Member', member_id, 'Mute'), self.client.current_request.url) @with_response(204) def test_deaf_delete(self): self.client.conferences.member_deaf_stop( conference_name=conference_name, member_id=member_id) self.assertEqual(self.client.current_request.method, 'DELETE') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Member', member_id, 'Deaf'), self.client.current_request.url) @with_response(204) def test_speak_delete(self): self.client.conferences.member_speak_stop( conference_name=conference_name, member_id=member_id) self.assertEqual(self.client.current_request.method, 'DELETE') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Member', member_id, 'Speak'), self.client.current_request.url) @with_response(204) def test_play_delete(self): self.client.conferences.member_play_stop( conference_name=conference_name, member_id=member_id) self.assertEqual(self.client.current_request.method, 'DELETE') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Member', member_id, 'Play'), self.client.current_request.url) @with_response(202) def test_kick_create(self): self.client.conferences.member_kick( conference_name=conference_name, member_id=member_id) self.assertEqual(self.client.current_request.method, 'POST') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Member', member_id, 'Kick'), self.client.current_request.url) @with_response(204) def test_delete(self): self.client.conferences.member_hangup( conference_name=conference_name, member_id=member_id) self.assertEqual(self.client.current_request.method, 'DELETE') self.assertUrlEqual( self.get_url('Conference', conference_name, 'Member', member_id), self.client.current_request.url)

41.738372

77

0.670846

798

7,179

5.781955

0.075188

0.117035

0.13264

0.187256

0.871695

0.811443

0.730603

0.71153

0

0.010036

0.222733

7,179

171

78

41.982456

0.816846

0.002925

0

0.662162

0

0.068195

0

0.256757

1

0.121622

false

0

0.013514

0

0.148649

0

null

0

1

0

null

0

7

14e8002279e7eff499c15d81774dddde982a7e1d

197

py

Python

malcolm/modules/ADPandABlocks/parts/pandablocksdriverpart.py

MattTaylorDLS/pymalcolm

995a8e4729bd745f8f617969111cc5a34ce1ac14

[ "Apache-2.0" ]

null

malcolm/modules/ADPandABlocks/parts/pandablocksdriverpart.py

MattTaylorDLS/pymalcolm

995a8e4729bd745f8f617969111cc5a34ce1ac14

[ "Apache-2.0" ]

null

malcolm/modules/ADPandABlocks/parts/pandablocksdriverpart.py

MattTaylorDLS/pymalcolm

995a8e4729bd745f8f617969111cc5a34ce1ac14

[ "Apache-2.0" ]

null

from malcolm.modules.ADCore.parts import DetectorDriverPart from .pandablockschildpart import PandABlocksChildPart class PandABlocksDriverPart(DetectorDriverPart, PandABlocksChildPart): pass

28.142857

70

0.86802

16

197

10.6875

0.6875

0

0.091371

197

6

71

32.833333

0.955307

0

1

0

true

0.25

0.5

0

0.75

0

1

0

1

null

0

1

0

null

0

1

0

1

0

7

119483e8216d43088b2518421d5224f9f634eb40

578

py

Python

September 2020/05-Functions-Advanced/Exercises/05-Odd-or-Even.py

eclipse-ib/Software-University-Professional-Advanced-Module

636385f9e5521840f680644824d725d074b93c9a

[ "MIT" ]

null

September 2020/05-Functions-Advanced/Exercises/05-Odd-or-Even.py

eclipse-ib/Software-University-Professional-Advanced-Module

636385f9e5521840f680644824d725d074b93c9a

[ "MIT" ]

null

September 2020/05-Functions-Advanced/Exercises/05-Odd-or-Even.py

eclipse-ib/Software-University-Professional-Advanced-Module

636385f9e5521840f680644824d725d074b93c9a

[ "MIT" ]

null

command = input() list_of_numbers = [int(i) for i in input().split()] result = 0 if command == "Odd": # odd_numbers = list(filter(lambda x: x % 2 != 0, list_of_numbers)) # print(sum(odd_numbers) * len(list_of_numbers)) result = sum(list(filter(lambda x: x % 2 != 0, list_of_numbers))) * len(list_of_numbers) elif command == "Even": # even_numbers = list(filter(lambda x: x % 2 == 0, list_of_numbers)) # print(sum(even_numbers) * len(list_of_numbers)) result = sum(list(filter(lambda x: x % 2 == 0, list_of_numbers))) * len(list_of_numbers) print(result)

44.461538

92

0.66436

94

578

3.851064

0.244681

0.149171

0.323204

0.187845

0.712707

0

0.018828

0.17301

578

13

93

44.461538

0.738494

0.392734

0

0.020173

0

1

0

false

0

0.125

0

null

0

1

0

1

0

null

0

7

119c46ba47e1978b9fbbb88052f786b12f8e915f

116

py

Python

bin/ud/__init__.py

cedar101/spaCy

66e22098a8bb77cbe527b1a4a3c69ec1cfb56f95

[ "MIT" ]

12

2019-03-20T20:43:47.000Z

2020-04-13T11:10:52.000Z

bin/ud/__init__.py

cedar101/spaCy

66e22098a8bb77cbe527b1a4a3c69ec1cfb56f95

[ "MIT" ]

13

2018-06-05T11:54:40.000Z

2019-07-02T11:33:14.000Z

bin/ud/__init__.py

cedar101/spaCy

66e22098a8bb77cbe527b1a4a3c69ec1cfb56f95

[ "MIT" ]

4

2019-06-07T13:02:33.000Z

2021-07-07T07:34:35.000Z

from .conll17_ud_eval import main as ud_evaluate # noqa: F401 from .ud_train import main as ud_train # noqa: F401

38.666667

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eec89fa86b9b016472648fc6b5ee6e398aad42b4

38,847

py

Python

tests/test_kmeans.py

joezuntz/TreeCorr

70fbb88047fa55a5fb28c2ee8aca45459bb1fe40

[ "BSD-2-Clause-FreeBSD" ]

null

tests/test_kmeans.py

joezuntz/TreeCorr

70fbb88047fa55a5fb28c2ee8aca45459bb1fe40

[ "BSD-2-Clause-FreeBSD" ]

null

tests/test_kmeans.py

joezuntz/TreeCorr

70fbb88047fa55a5fb28c2ee8aca45459bb1fe40

[ "BSD-2-Clause-FreeBSD" ]

null

# Copyright (c) 2003-2019 by Mike Jarvis # # TreeCorr is free software: redistribution and use in source and binary forms, # with or without modification, are permitted provided that the following # conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, this # list of conditions, and the disclaimer given in the accompanying LICENSE # file. # 2. Redistributions in binary form must reproduce the above copyright notice, # this list of conditions, and the disclaimer given in the documentation # and/or other materials provided with the distribution. from __future__ import print_function import numpy as np import os import time import coord import warnings import treecorr from test_helper import get_from_wiki, CaptureLog, assert_raises, profile, timer @timer def test_dessv(): try: import fitsio except ImportError: print('Skipping dessv test, since fitsio is not installed') return #treecorr.set_omp_threads(1); get_from_wiki('des_sv.fits') file_name = os.path.join('data','des_sv.fits') cat = treecorr.Catalog(file_name, ra_col='ra', dec_col='dec', ra_units='deg', dec_units='deg') # Use an odd number to make sure we force some of the shuffle bits in InitializeCenters # to happen. npatch = 43 field = cat.getNField(max_top=5) t0 = time.time() patches, cen = field.run_kmeans(npatch) t1 = time.time() print('patches = ',np.unique(patches)) assert len(patches) == cat.ntot assert min(patches) == 0 assert max(patches) == npatch-1 # Check the returned center to a direct calculation. xyz = np.array([cat.x, cat.y, cat.z]).T direct_cen = np.array([xyz[patches==i].mean(axis=0) for i in range(npatch)]) direct_cen /= np.sqrt(np.sum(direct_cen**2,axis=1)[:,np.newaxis]) np.testing.assert_allclose(cen, direct_cen, atol=1.e-3) # KMeans minimizes the total inertia. # Check this value and the rms size, which should also be quite small. inertia = np.array([np.sum((xyz[patches==i] - cen[i])**2) for i in range(npatch)]) sizes = np.array([np.mean((xyz[patches==i] - cen[i])**2) for i in range(npatch)])**0.5 sizes *= 180. / np.pi * 60. # convert to arcmin counts = np.array([np.sum(patches==i) for i in range(npatch)]) print('With standard algorithm:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) print('mean size = ',np.mean(sizes)) print('rms size = ',np.std(sizes)) assert np.sum(inertia) < 200. # This is specific to this particular field and npatch. assert np.std(inertia) < 0.3 * np.mean(inertia) # rms is usually < 0.2 * mean assert np.std(sizes) < 0.1 * np.mean(sizes) # sizes have even less spread usually. # Should all have similar number of points. Nothing is required here though. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Check the alternate algorithm. rms inertia should be lower. t0 = time.time() patches, cen = field.run_kmeans(npatch, alt=True) t1 = time.time() assert len(patches) == cat.ntot assert min(patches) == 0 assert max(patches) == npatch-1 inertia = np.array([np.sum((xyz[patches==i] - cen[i])**2) for i in range(npatch)]) sizes = np.array([np.mean((xyz[patches==i] - cen[i])**2) for i in range(npatch)])**0.5 sizes *= 180. / np.pi * 60. # convert to arcmin counts = np.array([np.sum(patches==i) for i in range(npatch)]) print('With alternate algorithm:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) print('mean size = ',np.mean(sizes)) print('rms size = ',np.std(sizes)) assert np.sum(inertia) < 200. # Total shouldn't increase much. (And often decreases.) assert np.std(inertia) < 0.15 * np.mean(inertia) # rms should be even smaller here. assert np.std(sizes) < 0.1 * np.mean(sizes) # This is only a little bit smaller. # This doesn't keep the counts as equal as the standard algorithm. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Finally, use a field with lots of top level cells to check the other branch in # InitializeCenters. field = cat.getNField(min_top=10) t0 = time.time() patches, cen = field.run_kmeans(npatch) t1 = time.time() assert len(patches) == cat.ntot assert min(patches) == 0 assert max(patches) == npatch-1 inertia = np.array([np.sum((xyz[patches==i] - cen[i])**2) for i in range(npatch)]) sizes = np.array([np.mean((xyz[patches==i] - cen[i])**2) for i in range(npatch)])**0.5 sizes *= 180. / np.pi * 60. # convert to arcmin counts = np.array([np.sum(patches==i) for i in range(npatch)]) # This doesn't give as good an initialization, so these are a bit worse usually. print('With min_top=10:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) print('mean size = ',np.mean(sizes)) print('rms size = ',np.std(sizes)) assert np.sum(inertia) < 210. assert np.std(inertia) < 0.4 * np.mean(inertia) # I've seen over 0.3 x mean here. assert np.std(sizes) < 0.15 * np.mean(sizes) print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) @timer def test_radec(): # Very similar to the above, but with a random set of points, so it will run even # if the user doesn't have fitsio installed. # In addition, we add weights to make sure that works. ngal = 100000 s = 10. rng = np.random.RandomState(8675309) x = rng.normal(0,s, (ngal,) ) y = rng.normal(0,s, (ngal,) ) + 100 # Put everything at large y, so smallish angle on sky z = rng.normal(0,s, (ngal,) ) w = rng.random_sample(ngal) ra, dec = coord.CelestialCoord.xyz_to_radec(x,y,z) print('minra = ',np.min(ra) * coord.radians / coord.degrees) print('maxra = ',np.max(ra) * coord.radians / coord.degrees) print('mindec = ',np.min(dec) * coord.radians / coord.degrees) print('maxdec = ',np.max(dec) * coord.radians / coord.degrees) cat = treecorr.Catalog(ra=ra, dec=dec, ra_units='rad', dec_units='rad', w=w) npatch = 111 field = cat.getNField() t0 = time.time() p, cen = field.run_kmeans(npatch) t1 = time.time() print('patches = ',np.unique(p)) assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 # Check the returned center to a direct calculation. xyz = np.array([cat.x, cat.y, cat.z]).T direct_cen = np.array([np.average(xyz[p==i], axis=0, weights=w[p==i]) for i in range(npatch)]) direct_cen /= np.sqrt(np.sum(direct_cen**2,axis=1)[:,np.newaxis]) np.testing.assert_allclose(cen, direct_cen, atol=2.e-3) inertia = np.array([np.sum(w[p==i][:,None] * (xyz[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) print('With standard algorithm:') print('time = ',t1-t0) print('inertia = ',inertia) print('counts = ',counts) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 200. # This is specific to this particular field and npatch. assert np.std(inertia) < 0.3 * np.mean(inertia) # rms is usually small mean # With weights, these aren't actually all that similar. The range is more than a # factor of 10. I think because it varies whether high weight points happen to be near the # edges or middles of patches, so the total weight varies when you target having the # inertias be relatively similar. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Check the alternate algorithm. rms inertia should be lower. t0 = time.time() p, cen = field.run_kmeans(npatch, alt=True) t1 = time.time() assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 inertia = np.array([np.sum(w[p==i][:,None] * (xyz[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) print('With alternate algorithm:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 200. # Total shouldn't increase much. (And often decreases.) assert np.std(inertia) < 0.15 * np.mean(inertia) # rms should be even smaller here. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Finally, use a field with lots of top level cells to check the other branch in # InitializeCenters. field = cat.getNField(min_top=10) t0 = time.time() p, cen = field.run_kmeans(npatch) t1 = time.time() assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 inertia = np.array([np.sum(w[p==i][:,None] * (xyz[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) # This doesn't give as good an initialization, so these are a bit worse usually. print('With min_top=10:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 210. assert np.std(inertia) < 0.4 * np.mean(inertia) # I've seen over 0.3 x mean here. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) @timer def test_3d(): # Like the above, but using x,y,z positions. ngal = 100000 s = 1. rng = np.random.RandomState(8675309) x = rng.normal(0,s, (ngal,) ) y = rng.normal(0,s, (ngal,) ) z = rng.normal(0,s, (ngal,) ) w = rng.random_sample(ngal) + 1 cat = treecorr.Catalog(x=x, y=y, z=z, w=w) npatch = 111 field = cat.getNField() t0 = time.time() p, cen = field.run_kmeans(npatch) t1 = time.time() print('patches = ',np.unique(p)) assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 xyz = np.array([x, y, z]).T inertia = np.array([np.sum(w[p==i][:,None] * (xyz[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) print('With standard algorithm:') print('time = ',t1-t0) print('inertia = ',inertia) print('counts = ',counts) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 33000. assert np.std(inertia) < 0.3 * np.mean(inertia) # rms is usually small mean print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Should be the same thing with ra, dec, ra ra, dec = coord.CelestialCoord.xyz_to_radec(x,y,z) r = (x**2 + y**2 + z**2)**0.5 cat2 = treecorr.Catalog(ra=ra, dec=dec, ra_units='rad', dec_units='rad', r=r, w=w) field = cat2.getNField() t0 = time.time() p2, cen = field.run_kmeans(npatch) t1 = time.time() inertia = np.array([np.sum(w[p2==i][:,None] * (xyz[p2==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p2==i]) for i in range(npatch)]) print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 33000. assert np.std(inertia) < 0.3 * np.mean(inertia) # rms is usually small mean print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Check the alternate algorithm. rms inertia should be lower. t0 = time.time() p, cen = field.run_kmeans(npatch, alt=True) t1 = time.time() assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 inertia = np.array([np.sum(w[p==i][:,None] * (xyz[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) print('With alternate algorithm:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 33000. assert np.std(inertia) < 0.1 * np.mean(inertia) # rms should be even smaller here. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Finally, use a field with lots of top level cells to check the other branch in # InitializeCenters. field = cat.getNField(min_top=10) t0 = time.time() p, cen = field.run_kmeans(npatch) t1 = time.time() assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 inertia = np.array([np.sum(w[p==i][:,None] * (xyz[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) # This doesn't give as good an initialization, so these are a bit worse usually. print('With min_top=10:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 33000. assert np.std(inertia) < 0.4 * np.mean(inertia) # I've seen over 0.3 x mean here. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) @timer def test_2d(): # Like the above, but using x,y positions. # An additional check here is that this works with other fields besides NField, even though # in practice NField will alsmost always be the kind of Field used. ngal = 100000 s = 1. rng = np.random.RandomState(8675309) x = rng.normal(0,s, (ngal,) ) y = rng.normal(0,s, (ngal,) ) w = rng.random_sample(ngal) + 1 g1 = rng.normal(0,s, (ngal,) ) g2 = rng.normal(0,s, (ngal,) ) k = rng.normal(0,s, (ngal,) ) cat = treecorr.Catalog(x=x, y=y, w=w, g1=g1, g2=g2, k=k) npatch = 111 field = cat.getGField() t0 = time.time() p, cen = field.run_kmeans(npatch) t1 = time.time() print('patches = ',np.unique(p)) assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 xy = np.array([x, y]).T inertia = np.array([np.sum(w[p==i][:,None] * (xy[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) print('With standard algorithm:') print('time = ',t1-t0) print('inertia = ',inertia) print('counts = ',counts) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 5300. assert np.std(inertia) < 0.3 * np.mean(inertia) # rms is usually small mean print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Check the alternate algorithm. rms inertia should be lower. t0 = time.time() p, cen = field.run_kmeans(npatch, alt=True) t1 = time.time() assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 inertia = np.array([np.sum(w[p==i][:,None] * (xy[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) print('With alternate algorithm:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 5300. assert np.std(inertia) < 0.1 * np.mean(inertia) # rms should be even smaller here. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Finally, use a field with lots of top level cells to check the other branch in # InitializeCenters. field = cat.getKField(min_top=10) t0 = time.time() p, cen = field.run_kmeans(npatch) t1 = time.time() assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 inertia = np.array([np.sum(w[p==i][:,None] * (xy[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) # This doesn't give as good an initialization, so these are a bit worse usually. print('With min_top=10:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 5300. assert np.std(inertia) < 0.4 * np.mean(inertia) # I've seen over 0.3 x mean here. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) @timer def test_init_random(): # Test the init=random option ngal = 100000 s = 1. rng = np.random.RandomState(8675309) x = rng.normal(0,s, (ngal,) ) y = rng.normal(0,s, (ngal,) ) z = rng.normal(0,s, (ngal,) ) cat = treecorr.Catalog(x=x, y=y, z=z) xyz = np.array([x, y, z]).T # Skip the refine_centers step. print('3d with init=random') npatch = 10 field = cat.getNField() cen1 = field.kmeans_initialize_centers(npatch, 'random') assert cen1.shape == (npatch, 3) p1 = field.kmeans_assign_patches(cen1) print('patches = ',np.unique(p1)) assert len(p1) == cat.ntot assert min(p1) == 0 assert max(p1) == npatch-1 inertia1 = np.array([np.sum((xyz[p1==i] - cen1[i])**2) for i in range(npatch)]) counts1 = np.array([np.sum(p1==i) for i in range(npatch)]) print('counts = ',counts1) print('rms counts = ',np.std(counts1)) print('total inertia = ',np.sum(inertia1)) # Now run the normal way # Use higher max_iter, since random isn't a great initialization. p2, cen2 = field.run_kmeans(npatch, init='random', max_iter=1000) inertia2 = np.array([np.sum((xyz[p2==i] - cen2[i])**2) for i in range(npatch)]) counts2 = np.array([np.sum(p2==i) for i in range(npatch)]) print('rms counts => ',np.std(counts2)) print('total inertia => ',np.sum(inertia2)) assert np.sum(inertia2) < np.sum(inertia1) # Use a field with lots of top level cells print('3d with init=random, min_top=10') field = cat.getNField(min_top=10) cen1 = field.kmeans_initialize_centers(npatch, 'random') assert cen1.shape == (npatch, 3) p1 = field.kmeans_assign_patches(cen1) print('patches = ',np.unique(p1)) assert len(p1) == cat.ntot assert min(p1) == 0 assert max(p1) == npatch-1 inertia1 = np.array([np.sum((xyz[p1==i] - cen1[i])**2) for i in range(npatch)]) counts1 = np.array([np.sum(p1==i) for i in range(npatch)]) print('counts = ',counts1) print('rms counts = ',np.std(counts1)) print('total inertia = ',np.sum(inertia1)) # Now run the normal way p2, cen2 = field.run_kmeans(npatch, init='random', max_iter=1000) inertia2 = np.array([np.sum((xyz[p2==i] - cen2[i])**2) for i in range(npatch)]) counts2 = np.array([np.sum(p2==i) for i in range(npatch)]) print('rms counts => ',np.std(counts2)) print('total inertia => ',np.sum(inertia2)) assert np.sum(inertia2) < np.sum(inertia1) # Repeat in 2d print('2d with init=random') cat = treecorr.Catalog(x=x, y=y) xy = np.array([x, y]).T field = cat.getNField() cen1 = field.kmeans_initialize_centers(npatch, 'random') assert cen1.shape == (npatch, 2) p1 = field.kmeans_assign_patches(cen1) print('patches = ',np.unique(p1)) assert len(p1) == cat.ntot assert min(p1) == 0 assert max(p1) == npatch-1 inertia1 = np.array([np.sum((xy[p1==i] - cen1[i])**2) for i in range(npatch)]) counts1 = np.array([np.sum(p1==i) for i in range(npatch)]) print('counts = ',counts1) print('rms counts = ',np.std(counts1)) print('total inertia = ',np.sum(inertia1)) # Now run the normal way p2, cen2 = field.run_kmeans(npatch, init='random', max_iter=1000) inertia2 = np.array([np.sum((xy[p2==i] - cen2[i])**2) for i in range(npatch)]) counts2 = np.array([np.sum(p2==i) for i in range(npatch)]) print('rms counts => ',np.std(counts2)) print('total inertia => ',np.sum(inertia2)) assert np.sum(inertia2) < np.sum(inertia1) # Repeat in spherical print('spher with init=random') ra, dec = coord.CelestialCoord.xyz_to_radec(x,y,z) cat = treecorr.Catalog(ra=ra, dec=dec, ra_units='rad', dec_units='rad') xyz = np.array([cat.x, cat.y, cat.z]).T field = cat.getNField() cen1 = field.kmeans_initialize_centers(npatch, 'random') assert cen1.shape == (npatch, 3) p1 = field.kmeans_assign_patches(cen1) print('patches = ',np.unique(p1)) assert len(p1) == cat.ntot assert min(p1) == 0 assert max(p1) == npatch-1 inertia1 = np.array([np.sum((xyz[p1==i] - cen1[i])**2) for i in range(npatch)]) counts1 = np.array([np.sum(p1==i) for i in range(npatch)]) print('counts = ',counts1) print('rms counts = ',np.std(counts1)) print('total inertia = ',np.sum(inertia1)) # Now run the normal way p2, cen2 = field.run_kmeans(npatch, init='random', max_iter=1000) inertia2 = np.array([np.sum((xyz[p2==i] - cen2[i])**2) for i in range(npatch)]) counts2 = np.array([np.sum(p2==i) for i in range(npatch)]) print('rms counts => ',np.std(counts2)) print('total inertia => ',np.sum(inertia2)) assert np.sum(inertia2) < np.sum(inertia1) with assert_raises(ValueError): field.run_kmeans(npatch, init='invalid') with assert_raises(ValueError): field.kmeans_initialize_centers(npatch, init='invalid') with assert_raises(ValueError): field.kmeans_initialize_centers(npatch=ngal*2, init='random') with assert_raises(ValueError): field.kmeans_initialize_centers(npatch=ngal+1, init='random') with assert_raises(ValueError): field.kmeans_initialize_centers(npatch=0, init='random') with assert_raises(ValueError): field.kmeans_initialize_centers(npatch=-100, init='random') # Should be valid to give npatch = 1, although not particularly useful. cen_1 = field.kmeans_initialize_centers(npatch=1, init='random') p_1 = field.kmeans_assign_patches(cen_1) np.testing.assert_equal(p_1, np.zeros(ngal)) # If same number of patches as galaxies, each galaxy gets a patch. # (This is stupid of course, but check that it doesn't fail.) # Do this with fewer points though, since it's not particularly fast with N=10^5. n = 100 cat = treecorr.Catalog(ra=ra[:n], dec=dec[:n], ra_units='rad', dec_units='rad') field = cat.getNField() cen_n = field.kmeans_initialize_centers(npatch=n, init='random') p_n = field.kmeans_assign_patches(cen_n) np.testing.assert_equal(sorted(p_n), list(range(n))) @timer def test_init_kmpp(): # Test the init=random option ngal = 100000 s = 1. rng = np.random.RandomState(8675309) x = rng.normal(0,s, (ngal,) ) y = rng.normal(0,s, (ngal,) ) z = rng.normal(0,s, (ngal,) ) cat = treecorr.Catalog(x=x, y=y, z=z) xyz = np.array([x, y, z]).T # Skip the refine_centers step. print('3d with init=kmeans++') npatch = 10 field = cat.getNField() cen1 = field.kmeans_initialize_centers(npatch, 'kmeans++') assert cen1.shape == (npatch, 3) p1 = field.kmeans_assign_patches(cen1) print('patches = ',np.unique(p1)) assert len(p1) == cat.ntot assert min(p1) == 0 assert max(p1) == npatch-1 inertia1 = np.array([np.sum((xyz[p1==i] - cen1[i])**2) for i in range(npatch)]) counts1 = np.array([np.sum(p1==i) for i in range(npatch)]) print('counts = ',counts1) print('rms counts = ',np.std(counts1)) print('total inertia = ',np.sum(inertia1)) # Now run the normal way # Use higher max_iter, since random isn't a great initialization. p2, cen2 = field.run_kmeans(npatch, init='kmeans++', max_iter=1000) inertia2 = np.array([np.sum((xyz[p2==i] - cen2[i])**2) for i in range(npatch)]) counts2 = np.array([np.sum(p2==i) for i in range(npatch)]) print('rms counts => ',np.std(counts2)) print('total inertia => ',np.sum(inertia2)) assert np.sum(inertia2) < np.sum(inertia1) # Use a field with lots of top level cells print('3d with init=kmeans++, min_top=10') field = cat.getNField(min_top=10) cen1 = field.kmeans_initialize_centers(npatch, 'kmeans++') assert cen1.shape == (npatch, 3) p1 = field.kmeans_assign_patches(cen1) print('patches = ',np.unique(p1)) assert len(p1) == cat.ntot assert min(p1) == 0 assert max(p1) == npatch-1 inertia1 = np.array([np.sum((xyz[p1==i] - cen1[i])**2) for i in range(npatch)]) counts1 = np.array([np.sum(p1==i) for i in range(npatch)]) print('counts = ',counts1) print('rms counts = ',np.std(counts1)) print('total inertia = ',np.sum(inertia1)) # Now run the normal way p2, cen2 = field.run_kmeans(npatch, init='kmeans++', max_iter=1000) inertia2 = np.array([np.sum((xyz[p2==i] - cen2[i])**2) for i in range(npatch)]) counts2 = np.array([np.sum(p2==i) for i in range(npatch)]) print('rms counts => ',np.std(counts2)) print('total inertia => ',np.sum(inertia2)) assert np.sum(inertia2) < np.sum(inertia1) # Repeat in 2d print('2d with init=kmeans++') cat = treecorr.Catalog(x=x, y=y) xy = np.array([x, y]).T field = cat.getNField() cen1 = field.kmeans_initialize_centers(npatch, 'kmeans++') assert cen1.shape == (npatch, 2) p1 = field.kmeans_assign_patches(cen1) print('patches = ',np.unique(p1)) assert len(p1) == cat.ntot assert min(p1) == 0 assert max(p1) == npatch-1 inertia1 = np.array([np.sum((xy[p1==i] - cen1[i])**2) for i in range(npatch)]) counts1 = np.array([np.sum(p1==i) for i in range(npatch)]) print('counts = ',counts1) print('rms counts = ',np.std(counts1)) print('total inertia = ',np.sum(inertia1)) # Now run the normal way p2, cen2 = field.run_kmeans(npatch, init='kmeans++', max_iter=1000) inertia2 = np.array([np.sum((xy[p2==i] - cen2[i])**2) for i in range(npatch)]) counts2 = np.array([np.sum(p2==i) for i in range(npatch)]) print('rms counts => ',np.std(counts2)) print('total inertia => ',np.sum(inertia2)) assert np.sum(inertia2) < np.sum(inertia1) # Repeat in spherical print('spher with init=kmeans++') ra, dec = coord.CelestialCoord.xyz_to_radec(x,y,z) cat = treecorr.Catalog(ra=ra, dec=dec, ra_units='rad', dec_units='rad') xyz = np.array([cat.x, cat.y, cat.z]).T field = cat.getNField() cen1 = field.kmeans_initialize_centers(npatch, 'kmeans++') assert cen1.shape == (npatch, 3) p1 = field.kmeans_assign_patches(cen1) print('patches = ',np.unique(p1)) assert len(p1) == cat.ntot assert min(p1) == 0 assert max(p1) == npatch-1 inertia1 = np.array([np.sum((xyz[p1==i] - cen1[i])**2) for i in range(npatch)]) counts1 = np.array([np.sum(p1==i) for i in range(npatch)]) print('counts = ',counts1) print('rms counts = ',np.std(counts1)) print('total inertia = ',np.sum(inertia1)) # Now run the normal way p2, cen2 = field.run_kmeans(npatch, init='kmeans++', max_iter=1000) inertia2 = np.array([np.sum((xyz[p2==i] - cen2[i])**2) for i in range(npatch)]) counts2 = np.array([np.sum(p2==i) for i in range(npatch)]) print('rms counts => ',np.std(counts2)) print('total inertia => ',np.sum(inertia2)) assert np.sum(inertia2) < np.sum(inertia1) with assert_raises(ValueError): field.kmeans_initialize_centers(npatch=ngal*2, init='kmeans++') with assert_raises(ValueError): field.kmeans_initialize_centers(npatch=ngal+1, init='kmeans++') with assert_raises(ValueError): field.kmeans_initialize_centers(npatch=0, init='kmeans++') with assert_raises(ValueError): field.kmeans_initialize_centers(npatch=-100, init='kmeans++') # Should be valid to give npatch = 1, although not particularly useful. cen_1 = field.kmeans_initialize_centers(npatch=1, init='kmeans++') p_1 = field.kmeans_assign_patches(cen_1) np.testing.assert_equal(p_1, np.zeros(ngal)) # If same number of patches as galaxies, each galaxy gets a patch. # (This is stupid of course, but check that it doesn't fail.) # Do this with fewer points though, since it's not particularly fast with N=10^5. n = 100 cat = treecorr.Catalog(ra=ra[:n], dec=dec[:n], ra_units='rad', dec_units='rad') field = cat.getNField() cen_n = field.kmeans_initialize_centers(npatch=n, init='kmeans++') p_n = field.kmeans_assign_patches(cen_n) np.testing.assert_equal(sorted(p_n), list(range(n))) @timer def test_zero_weight(): # Based on test_ra_dec, but where many galaxies have w=0. # There used to be a bug where w=0 objects were not assigned to any patch. ngal = 10000 s = 10. rng = np.random.RandomState(8675309) x = rng.normal(0,s, (ngal,) ) y = rng.normal(0,s, (ngal,) ) + 100 # Put everything at large y, so smallish angle on sky z = rng.normal(0,s, (ngal,) ) w = np.zeros(ngal) w[np.random.choice(range(ngal), ngal//10, replace=False)] = 1.0 ra, dec = coord.CelestialCoord.xyz_to_radec(x,y,z) print('minra = ',np.min(ra) * coord.radians / coord.degrees) print('maxra = ',np.max(ra) * coord.radians / coord.degrees) print('mindec = ',np.min(dec) * coord.radians / coord.degrees) print('maxdec = ',np.max(dec) * coord.radians / coord.degrees) cat = treecorr.Catalog(ra=ra, dec=dec, ra_units='rad', dec_units='rad', w=w, keep_zero_weight=True) treecorr.set_omp_threads(1) npatch = 16 field = cat.getNField() t0 = time.time() p, c = field.run_kmeans(npatch) t1 = time.time() print('patches = ',np.unique(p)) assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 print('w>0 patches = ',np.unique(p[w>0])) print('w==0 patches = ',np.unique(p[w==0])) assert set(p[w>0]) == set(p[w==0]) @timer def test_catalog_sphere(): # This follows the same path as test_radec, but using the Catalog API to run kmeans. ngal = 100000 s = 10. rng = np.random.RandomState(8675309) x = rng.normal(0,s, (ngal,) ) y = rng.normal(0,s, (ngal,) ) + 100 # Put everything at large y, so smallish angle on sky z = rng.normal(0,s, (ngal,) ) w = rng.random_sample(ngal) ra, dec, r = coord.CelestialCoord.xyz_to_radec(x,y,z, return_r=True) print('minra = ',np.min(ra) * coord.radians / coord.degrees) print('maxra = ',np.max(ra) * coord.radians / coord.degrees) print('mindec = ',np.min(dec) * coord.radians / coord.degrees) print('maxdec = ',np.max(dec) * coord.radians / coord.degrees) npatch = 111 cat = treecorr.Catalog(ra=ra, dec=dec, ra_units='rad', dec_units='rad', w=w, npatch=npatch) t0 = time.time() p = cat.patch cen = cat.patch_centers t1 = time.time() print('patches = ',np.unique(p)) assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 # Check the returned center to a direct calculation. xyz = np.array([cat.x, cat.y, cat.z]).T direct_cen = np.array([np.average(xyz[p==i], axis=0, weights=w[p==i]) for i in range(npatch)]) direct_cen /= np.sqrt(np.sum(direct_cen**2,axis=1)[:,np.newaxis]) np.testing.assert_allclose(cen, direct_cen, atol=2.e-3) inertia = np.array([np.sum(w[p==i][:,None] * (xyz[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) print('With standard algorithm:') print('time = ',t1-t0) print('inertia = ',inertia) print('counts = ',counts) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 200. # This is specific to this particular field and npatch. assert np.std(inertia) < 0.3 * np.mean(inertia) # rms is usually small mean # With weights, these aren't actually all that similar. The range is more than a # factor of 10. I think because it varies whether high weight points happen to be near the # edges or middles of patches, so the total weight varies when you target having the # inertias be relatively similar. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Check the alternate algorithm. rms inertia should be lower. cat2 = treecorr.Catalog(ra=ra, dec=dec, ra_units='rad', dec_units='rad', w=w, npatch=npatch, kmeans_alt=True) t0 = time.time() p = cat2.patch cen = cat2.patch_centers t1 = time.time() assert len(p) == cat2.ntot assert min(p) == 0 assert max(p) == npatch-1 inertia = np.array([np.sum(w[p==i][:,None] * (xyz[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) print('With alternate algorithm:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 200. # Total shouldn't increase much. (And often decreases.) assert np.std(inertia) < 0.15 * np.mean(inertia) # rms should be even smaller here. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Check using patch_centers from (ra,dec) -> (ra,dec,r) cat3 = treecorr.Catalog(ra=ra, dec=dec, r=r, ra_units='rad', dec_units='rad', w=w, patch_centers=cat2.patch_centers) np.testing.assert_array_equal(cat2.patch, cat3.patch) np.testing.assert_array_equal(cat2.patch_centers, cat3.patch_centers) @timer def test_catalog_3d(): # With ra, dec, r, the Catalog API should only do patches using RA, Dec. ngal = 100000 s = 10. rng = np.random.RandomState(8675309) x = rng.normal(0,s, (ngal,) ) y = rng.normal(0,s, (ngal,) ) + 100 # Put everything at large y, so smallish angle on sky z = rng.normal(0,s, (ngal,) ) w = rng.random_sample(ngal) ra, dec, r = coord.CelestialCoord.xyz_to_radec(x,y,z, return_r=True) print('minra = ',np.min(ra) * coord.radians / coord.degrees) print('maxra = ',np.max(ra) * coord.radians / coord.degrees) print('mindec = ',np.min(dec) * coord.radians / coord.degrees) print('maxdec = ',np.max(dec) * coord.radians / coord.degrees) npatch = 111 cat = treecorr.Catalog(ra=ra, dec=dec, r=r, ra_units='rad', dec_units='rad', w=w, npatch=npatch) t0 = time.time() p = cat.patch cen = cat.patch_centers t1 = time.time() print('patches = ',np.unique(p)) assert len(p) == cat.ntot assert min(p) == 0 assert max(p) == npatch-1 # Check the returned center to a direct calculation. xyz = np.array([cat.x/cat.r, cat.y/cat.r, cat.z/cat.r]).T print('cen = ',cen) print('xyz = ',xyz) direct_cen = np.array([np.average(xyz[p==i], axis=0, weights=w[p==i]) for i in range(npatch)]) direct_cen /= np.sqrt(np.sum(direct_cen**2,axis=1)[:,np.newaxis]) np.testing.assert_allclose(cen, direct_cen, atol=2.e-3) inertia = np.array([np.sum(w[p==i][:,None] * (xyz[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) print('With standard algorithm:') print('time = ',t1-t0) print('inertia = ',inertia) print('counts = ',counts) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 200. # This is specific to this particular field and npatch. assert np.std(inertia) < 0.3 * np.mean(inertia) # rms is usually small mean # With weights, these aren't actually all that similar. The range is more than a # factor of 10. I think because it varies whether high weight points happen to be near the # edges or middles of patches, so the total weight varies when you target having the # inertias be relatively similar. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Check the alternate algorithm. rms inertia should be lower. cat2 = treecorr.Catalog(ra=ra, dec=dec, r=r, ra_units='rad', dec_units='rad', w=w, npatch=npatch, kmeans_alt=True) t0 = time.time() p = cat2.patch cen = cat2.patch_centers t1 = time.time() assert len(p) == cat2.ntot assert min(p) == 0 assert max(p) == npatch-1 inertia = np.array([np.sum(w[p==i][:,None] * (xyz[p==i] - cen[i])**2) for i in range(npatch)]) counts = np.array([np.sum(w[p==i]) for i in range(npatch)]) print('With alternate algorithm:') print('time = ',t1-t0) print('total inertia = ',np.sum(inertia)) print('mean inertia = ',np.mean(inertia)) print('rms inertia = ',np.std(inertia)) assert np.sum(inertia) < 200. # Total shouldn't increase much. (And often decreases.) assert np.std(inertia) < 0.15 * np.mean(inertia) # rms should be even smaller here. print('mean counts = ',np.mean(counts)) print('min counts = ',np.min(counts)) print('max counts = ',np.max(counts)) # Check using patch_centers from (ra,dec,r) -> (ra,dec) cat3 = treecorr.Catalog(ra=ra, dec=dec, ra_units='rad', dec_units='rad', w=w, patch_centers=cat2.patch_centers) np.testing.assert_array_equal(cat2.patch, cat3.patch) np.testing.assert_array_equal(cat2.patch_centers, cat3.patch_centers) if __name__ == '__main__': test_dessv() test_radec() test_3d() test_2d() test_init_random() test_init_kmpp() test_zero_weight() test_catalog_sphere() test_catalog_3d()

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e1088c6b0f484154235d71ff13cd3c654c3a9dab

43,598

py

Python

curiosity/interaction/update_step.py

neuroailab/curiosity_deprecated

65f7cde13b07cdac52eed39535a94e7544c396b8

[ "Apache-2.0" ]

null

curiosity/interaction/update_step.py

neuroailab/curiosity_deprecated

65f7cde13b07cdac52eed39535a94e7544c396b8

[ "Apache-2.0" ]

2

2017-11-18T00:53:33.000Z

2017-11-18T00:53:40.000Z

curiosity/interaction/update_step.py

neuroailab/curiosity_deprecated

65f7cde13b07cdac52eed39535a94e7544c396b8

[ "Apache-2.0" ]

null

''' Defines the training step. ''' import sys sys.path.append('tfutils') import tensorflow as tf from tfutils.base import get_optimizer, get_learning_rate import numpy as np import cv2 from curiosity.interaction import models import h5py import json class RawDepthDiscreteActionUpdater: ''' Provides the training step. This is probably where we can put parallelization. Not finished! ''' def __init__(world_model, rl_model, data_provider, eta): self.data_provider = data_provider self.world_model = world_model self.rl_model = rl_model self.eta = eta self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.action = tf.placeholder = tf.placeholder(tf.float32, [None] + world_model.action_one_hot.get_shape().as_list()[1:]) self.adv = tf.placeholder(tf.float32, [None]) self.r = tf.placeholder(tf.float32, [None]) log_prob_tf = tf.nn.log_softmax(rl_model.logits) prob_tf = tf.nn.softmax(rl_model.logits) pi_loss = -tf.reduce_sum(tf.reduce_sum(log_prob_tf * self.ac, [1]) * self.adv) vf_loss = .5 * tf.reduce_sum(tf.square(rl_model.vf - self.r)) entropy = -tf.reduce_sum(prob_tf * log_prob_tf) self.rl_loss = pi_loss + 0.5 * vf_loss - entropy * 0.01 rl_opt_params, rl_opt = get_optimizer(learning_rate, self.rl_loss, ) def replace_the_nones(my_list): ''' Assumes my_list[-1] is np array ''' return [np.zeros(my_list[-1].shape, dtype = my_list[-1].dtype) if elt is None else elt for elt in my_list] def postprocess_batch_depth(batch, state_desc): obs, msg, act, act_post = batch depths = replace_the_nones(obs[state_desc]) obs_past = np.array([depths[:-1]]) obs_fut = np.array([depths[1:]]) actions = np.array([replace_the_nones(act)]) actions_post = np.array([replace_the_nones(act_post)]) return obs_past, actions, actions_post, obs_fut # def postprocess_batch_depth(batch): # depths = np.array([[timepoint if timepoint is not None else np.zeros(obs['depths1'][-1].shape, dtype = obs['depths1'][-1].dtype) for timepoint in obs['depths1']] for obs in batch.states]) # actions = np.array(batch.actions) # next_depth = np.array([batch.next_state['depths1']]) # return depths, actions, next_depth def postprocess_batch_for_actionmap(batch, state_desc): obs, msg, act = batch prepped = {} depths = replace_the_nones(obs[state_desc]) depths_past = np.array([depths[:-1]]) depths_fut = np.array([depths[:1]]) objects = np.array([replace_the_nones(obs[state_desc])[:-1]]) actions = np.array([replace_the_nones(act)]) action_ids_list = [] for i in range(2): action_msg = msg[i]['msg']['actions'] if msg[i] is not None else [] if len(action_msg): idx = int(action_msg[0]['id']) else: idx = -10000#just something that's not an id seen action_ids_list.append(idx) action_ids = np.array([action_ids_list]) return depths_past, objects, actions, action_ids, depths_fut # def postprocess_batch_for_actionmap(batch): # prepped = {} # for desc in ['depths1', 'objects1']: # prepped[desc] = np.array([[timepoint if timepoint is not None else np.zeros(obs[desc][-1].shape, dtype = obs[desc][-1].dtype) for timepoint in obs[desc]] for obs in batch.states]) # actions = np.array([[np.zeros(batch.next_state['action'][-1].shape, batch.next_state['action'][-1].dtype) if timepoint is None else timepoint for timepoint in batch.next_state['action']]]) # print('actions shape') # print(actions.shape) # print(len(batch.next_state['action'])) # action_ids_list = [] # for i in range(2): # action_msg = batch.next_state['msg'][i]['msg']['actions'] if batch.next_state['msg'][i] is not None else [] # if len(action_msg): # idx = int(action_msg[0]['id']) # action_ids_list.append(idx) # action_ids = np.array([action_ids_list]) # next_depths = np.array([batch.next_state['depths1']]) # return prepped['depths1'], prepped['objects1'], actions, action_ids, next_depths class ExperienceReplayPostprocessor: def __init__(self, big_save_keys = None, little_save_keys = None, big_save_len = None, big_save_freq = None, state_descriptor = None): self.big_save_keys = big_save_keys self.little_save_keys = little_save_keys self.big_save_len = big_save_len self.big_save_freq = big_save_freq self.state_descriptor = state_descriptor self.big_save_keys.append('map_draw') self.little_save_keys.append('map_draw') self.big_save_keys.extend(['act_lr', 'um_lr']) self.little_save_keys.extend(['act_lr', 'um_lr']) def postprocess(self, training_results, batch): global_step = training_results['global_step'] res = {} if (global_step) % self.big_save_freq < self.big_save_len: save_keys = self.big_save_keys #est_losses = [other[1] for other in batch['other']] #action_sample = [other[2] for other in batch['other']] res['batch'] = {} for desc, val in batch.iteritems(): if desc not in ['recent', 'depths1', 'objects1', 'images1']: res['batch'][desc] = val res['recent'] = batch['recent'] else: save_keys = self.little_save_keys res.update(dict(pair for pair in training_results.iteritems() if pair[0] in save_keys)) #if 'other' in batch['recent']: # entropies = [other[0] for other in batch['recent']['other']] # entropies = np.mean(entropies) # res['entropy'] = entropies if 'msg' in batch['recent']: looking_at_obj = [1 if msg is not None and msg['msg']['action_type'] == 'OBJ_ACT' else 0 for msg in batch['recent']['msg']] res['obj_freq'] = np.mean(looking_at_obj) elif type(batch['recent']) == list and len(batch['recent'][0]) > 0: mean_per_provider = [] for provider_recent in batch['recent']: looking_at_obj = [1 if msg is not None and msg['msg']['action_type'] == 'OBJ_ACT' else 0 for msg in provider_recent['msg']] mean_per_provider.append(np.mean(looking_at_obj)) res['obj_freq'] = np.mean(mean_per_provider) res['obj_freq_per_provider_noprint'] = mean_per_provider return res class UncertaintyPostprocessor: def __init__(self, big_save_keys = None, little_save_keys = None, big_save_len = None, big_save_freq = None, state_descriptor = None): self.big_save_keys = big_save_keys self.little_save_keys = little_save_keys self.big_save_len = big_save_len self.big_save_freq = big_save_freq self.state_descriptor = state_descriptor def postprocess(self, training_results, batch): global_step = training_results['global_step'] res = {} print('postprocessor deets') print(global_step) print(self.big_save_freq) print(self.big_save_len) if (global_step) % self.big_save_freq < self.big_save_len: print('big time') save_keys = self.big_save_keys est_losses = [other[1] for other in batch['recent']['other']] action_sample = [other[2] for other in batch['recent']['other']] res['batch'] = {'obs' : batch['depths1'], 'act' : batch['action'], 'act_post' : batch['action_post'], 'est_loss' : est_losses, 'action_sample' : action_sample} res['msg'] = batch['recent']['msg'] else: print('little time') save_keys = self.little_save_keys res.update(dict((k, v) for (k, v) in training_results.iteritems() if k in save_keys)) #res['msg'] = batch['msg'][-1] entropies = [other[0] for other in batch['recent']['other']] entropies = np.mean(entropies) res['entropy'] = entropies looking_at_obj = [1 if msg is not None and msg['msg']['action_type']['OBJ_ACT'] else 0 for msg in batch['recent']['msg']] res['obj_freq'] = np.mean(looking_at_obj) return res class DataWriteUpdater: def __init__(self, data_provider, updater_params): self.data_provider = data_provider fn = updater_params['hdf5_filename'] N = updater_params['N_save'] height, width = updater_params['image_shape'] act_dim = updater_params['act_dim'] print('setting up save loc') self.hdf5 = hdf5 = h5py.File(fn, mode = 'a') dt = h5py.special_dtype(vlen = str) self.handles = {'msg' : hdf5.require_dataset('msg', shape = (N,), dtype = dt), 'depths1' : hdf5.require_dataset('depths1', shape = (N, height, width, 3), dtype = np.uint8), 'objects1' : hdf5.require_dataset('objects1', shape = (N, height, width, 3), dtype = np.uint8), 'images1': hdf5.require_dataset('images1', shape = (N, height, width, 3), dtype = np.uint8), 'action' : hdf5.require_dataset('action', shape = (N, act_dim), dtype = np.float32), 'action_post' : hdf5.require_dataset('action_post', shape = (N, act_dim), dtype = np.float32)} print('save loc set up') self.start = 0 def update(self): batch = self.data_provider.dequeue_batch() bs = len(batch['recent']['msg']) end = self.start + bs for k in ['depths1', 'objects1', 'images1', 'action', 'action_post']: tosave = batch['recent'][k] if k in ['action', 'action_post']: tosave = tosave.astype(np.float32) self.handles[k][self.start : end] = batch['recent'][k] self.handles['msg'][self.start : end] = [json.dumps(msg) for msg in batch['recent']['msg']] self.start = end def close(self): self.hdf5.close() class LatentUncertaintyValidator: def __init__(self, models, data_provider): self.um = models['uncertainty_model'] self.wm = models['world_model'] self.targets = { 'act_pred' : self.wm.act_pred, 'fut_loss' : self.wm.fut_loss, 'act_loss' : self.wm.act_loss, 'um_loss' : self.um.uncertainty_loss, 'estimated_world_loss' : self.um.estimated_world_loss, 'loss_per_example' : self.um.true_loss, 'act_loss_per_example' : self.wm.act_loss_per_example } self.dp = data_provider def run(self, sess): batch = self.dp.dequeue_batch() feed_dict = { self.wm.states : batch['depths1'], self.wm.action : batch['action'], self.wm.action_post : batch['action_post'], self.wm.obj_there : batch['obj_there'] } res = sess.run(self.targets, feed_dict = feed_dict) res['batch'] = {} for desc, val in batch.iteritems(): print(desc) if desc == 'obj_there': res['batch'][desc] = val elif desc != 'recent': res['batch'][desc] = val[:, -1] res['recent'] = batch['recent'] class ObjectThereValidater: def __init__(self, models, data_provider): self.um = models['uncertainty_model'] self.wm = models['world_model'] self.targets = {'um_loss' : self.um.uncertainty_loss, 'loss_per_example' : self.um.true_loss, 'estimated_world_loss' : self.um.estimated_world_loss} self.dp = data_provider def run(self, sess): batch = self.dp.dequeue_batch() feed_dict = { self.wm.states : batch['depths1'], self.wm.action : batch['action'], self.wm.obj_there : batch['obj_there'] } return sess.run(self.targets, feed_dict = feed_dict) class ActionUncertaintyValidator: def __init__(self, models, data_provider): self.um = um = models['uncertainty_model'] self.wm = wm = models['world_model'] self.targets = {'act_pred' : self.wm.act_pred, 'act_loss' : self.wm.act_loss, 'estimated_world_loss' : self.um.estimated_world_loss, 'um_loss' : self.um.uncertainty_loss, 'loss_per_example' : self.um.true_loss} self.dp = data_provider def run(self, sess): batch = self.dp.dequeue_batch() feed_dict = { self.wm.states : batch['depths1'], self.wm.action : batch['action'], self.wm.action_post : batch['action_post'] } res = sess.run(self.targets, feed_dict = feed_dict) res['batch'] = batch return res class ActionUncertaintyValidatorWithReadouts: def __init__(self, model, data_provider): self.dp = data_provider self.wm = model['world_model'] self.um = model['uncertainty_model'] self.targets = {} self.targets.update({k : v for k, v in self.wm.readouts.items() if k not in self.wm.save_to_gfs}) self.targets.update({k : v for k, v in self.um.readouts.items() if k not in self.um.save_to_gfs}) #this should be changed for an online data provider, set to do nothing self.map_draw_mode = 'specified_indices' #relies on there being just one obs type self.state_desc = data_provider.data_lengths['obs'].keys()[0] self.insert_objthere = False if data_provider.num_objthere is None else True def run(self, sess): batch = self.dp.dequeue_batch() feed_dict = { self.wm.states : batch[self.state_desc], self.wm.action : batch['action'], self.wm.action_post : batch ['action_post'] } if self.insert_objthere: feed_dict[self.wm.obj_there_via_msg] = batch['obj_there'] res = sess.run(self.targets, feed_dict = feed_dict) #TODO case it for online res['recent'] = {} #if self.map_draw_mode == 'specified_indices': # map_draw_res = [] # for idx in self.map_draw_example_indices: # obs_for_actor = [batch[self.state_desc][idx][t] for t in self.map_draw_timestep_indices] # action_samples = self.action_sampler.sample_actions() # action, entropy, estimated_world_loss = self.um.act(sess, action_samples, obs_for_actor) # to_add = {'example_id' : idx, 'action_sample' : action, 'estimated_world_loss' : estimated_world_loss, # 'action_samples' : action_samples, 'depths1' : batch[self.state_desc][idx], # 'action' : batch['action'][idx], 'action_post' : batch['action_post'][idx]} # map_draw_res.append(to_add) #res['map_draw'] = map_draw_res return res class ObjectThereUpdater: def __init__(self, world_model, uncertainty_model, data_provider, optimizer_params, learning_rate_params, postprocessor, updater_params): self.data_provider = data_provider self.wm = world_model self.um = uncertainty_model self.postprocessor = postprocessor self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.um_lr_params, um_lr = get_learning_rate(self.global_step, ** learning_rate_params['uncertainty_model']) um_opt_params, um_opt = get_optimizer(um_lr, self.um.uncertainty_loss, self.global_step, optimizer_params['uncertainty_model'], var_list = self.um.var_list) self.targets = {'um_loss' : self.um.uncertainty_loss, 'um_lr' : um_lr, 'um_optimizer' : um_opt, 'global_step' : self.global_step, 'loss_per_example' : self.um.true_loss, 'estimated_world_loss' : self.um.estimated_world_loss } self.state_desc = updater_params['state_desc'] def update(self, sess, visualize = False): batch = self.data_provider.dequeue_batch() state_desc = self.state_desc feed_dict = { self.wm.states : batch[state_desc], self.wm.action : batch['action'], self.wm.obj_there : batch['obj_there'] } res = sess.run(self.targets, feed_dict = feed_dict) res = self.postprocessor.postprocess(res, batch) return res class SquareForceMagUpdater: def __init__(self, models, data_provider, optimizer_params, learning_rate_params, postprocessor, updater_params): self.dp = data_provider self.wm = models['world_model'] self.um = models['uncertainty_model'] self.postprocessor = postprocessor self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.um_lr_params, um_lr = get_learning_rate(self.global_step, ** learning_rate_params['uncertainty_model']) um_opt_params, um_opt = get_optimizer(um_lr, self.um.uncertainty_loss, self.global_step, optimizer_params['uncertainty_model'], var_list = self.um.var_list) self.targets = {'um_loss' : self.um.uncertainty_loss, 'um_lr' : um_lr, 'um_optimizer' : um_opt, 'global_step' : self.global_step, 'loss_per_example' : self.um.true_loss, 'estimated_world_loss' : self.um.estimated_world_loss } if self.um.exactly_whats_needed: self.targets['oh_my_god'] = self.um.oh_my_god self.state_desc = updater_params['state_desc'] def update(self, sess, visualize = False): batch = self.dp.dequeue_batch() state_desc = self.state_desc feed_dict = { self.wm.states : batch[state_desc], self.wm.action : batch['action'], self.wm.action_post : batch['action_post'] } if self.um.insert_obj_there: print('adding obj_there to feed dict') feed_dict[self.um.obj_there] = batch['obj_there'] res = sess.run(self.targets, feed_dict = feed_dict) res = self.postprocessor.postprocess(res, batch) return res class DebuggingForceMagUpdater: def __init__(self, models, data_provider, optimizer_params, learning_rate_params, postprocessor, updater_params): self.dp = data_provider self.wm = models['world_model'] self.um = models['uncertainty_model'] self.postprocessor = postprocessor self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0, dtype = tf.int32)) print(learning_rate_params.keys()) um_lr_params, um_lr = get_learning_rate(self.global_step, **learning_rate_params['uncertainty_model']) um_opt_params, um_opt = get_optimizer(um_lr, self.um.uncertainty_loss, self.global_step, optimizer_params['uncertainty_model']) self.targets = {'um_loss' : self.um.uncertainty_loss, 'um_optimizer' : um_opt, 'global_step' : self.global_step, 'loss_per_example' : self.um.true_loss, 'estimated_world_loss' : self.um.estimated_world_loss, 'ans' : self.um.ans, 'oh_my_god' : self.um.oh_my_god, 'model_parameters' : self.um.var_list} def update(self, sess): batch = self.dp.dequeue_batch() feed_dict = { self.wm.action : batch['action'], self.wm.action_post : batch['action_post'], self.um.obj_there : batch['obj_there'] } res = sess.run(self.targets, feed_dict = feed_dict) res = self.postprocessor.postprocess(res, batch) return res class LatentFreezeUpdater: def __init__(self, models, data_provider, optimizer_params, learning_rate_params, postprocessor, updater_params): self.data_provider = data_provider\ if isinstance(data_provider, list) else [data_provider] self.wm = models['world_model'] self.um = models['uncertainty_model'] freeze_wm = updater_params['freeze_wm'] freeze_um = updater_params['freeze_um'] self.postprocessor = postprocessor self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.act_step = tf.get_variable('act_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.fut_step = tf.get_variable('fut_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.um_step = tf.get_variable('ext_uncertainty_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.targets = {} self.state_desc = updater_params.get('state_desc', 'depths1') if not freeze_wm: act_lr_params, act_lr = get_learning_rate(self.act_step, **learning_rate_params['world_model']['act_model']) fut_lr_params, fut_lr = get_learning_rate(self.fut_step, **learning_rate_params['world_model']['fut_model']) act_opt_params, act_opt = get_optimizer(act_lr, self.wm.act_loss, self.act_step, optimizer_params['world_model']['act_model'], var_list = self.wm.act_var_list + self.wm.encode_var_list) fut_opt_params, fut_opt = get_optimizer(fut_lr, self.wm.fut_loss, self.fut_step, optimizer_params['world_model']['fut_model'], var_list = self.wm.fut_var_list) self.targets['act_opt'] = act_opt self.targets['fut_opt'] = fut_opt self.targets['act_lr'] = act_lr self.targets['fut_lr'] = fut_lr if not freeze_um: um_lr_params, um_lr = get_learning_rate(self.um_step, **learning_rate_params['uncertainty_model']) um_opt_params, um_opt = get_optimizer(um_lr, self.um.uncertainty_loss, self.um_step, optimizer_params['uncertainty_model'], var_list = self.um.var_list) self.targets['um_opt'] = um_opt self.targets['um_lr'] = um_lr self.targets['global_step'] = self.global_step global_increment = tf.assign_add(self.global_step, 1) um_increment = tf.assign_add(self.um.step, 1) self.targets.update({'global_increment' : global_increment, 'um_increment' : um_increment}) self.targets.update(self.wm.readouts) self.targets.update(self.um.readouts) assert set(self.wm.readouts.keys()) != set(self.um.readouts.keys()) def update(self, sess, visualize = False): if self.um.just_random: print('Selecting action at random') batch = {} for i, dp in enumerate(self.data_provider): provider_batch = dp.dequeue_batch() for k in provider_batch: if k in batch: batch[k].append(provider_batch[k]) else: batch[k] = [provider_batch[k]] for k in ['action', 'action_post', self.state_desc]: batch[k] = np.concatenate(batch[k], axis=0) feed_dict = { self.wm.states : batch[self.state_desc], self.wm.action : batch['action'], self.wm.action_post : batch['action_post'] } res = sess.run(self.targets, feed_dict = feed_dict) res.pop('um_increment') res.pop('global_increment') global_step = res['global_step'] #if self.map_draw_mode is not None and global_step % self.map_draw_freq == 0: # if self.map_draw_mode == 'specified_indices': # map_draw_res = [] # for idx in self.map_draw_example_indices: # obs_for_actor = [batch[self.state_desc][idx][t] for t in self.map_draw_timestep_indices] # action_samples = self.action_sampler.sample_actions() # action, entropy, estimated_world_loss = self.um.act(sess, action_samples, obs_for_actor) # to_add = {'example_id' : idx, 'action_sample' : action, 'estimated_world_loss' : estimated_world_loss, # 'action_samples' : action_samples, 'depths1' : batch[self.state_desc][idx], # 'action' : batch['action'][idx], 'action_post' : batch['action_post'][idx]} # map_draw_res.append(to_add) # res['map_draw'] = map_draw_res res = self.postprocessor.postprocess(res, batch) return res, global_step class FreezeUpdater: def __init__(self, models, data_provider, optimizer_params, learning_rate_params, postprocessor, updater_params): self.data_provider = data_provider \ if isinstance(data_provider, list) else [data_provider] self.wm = models['world_model'] self.um = models['uncertainty_model'] freeze_wm = updater_params['freeze_wm'] freeze_um = updater_params['freeze_um'] self.postprocessor = postprocessor self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.act_lr_params, act_lr = get_learning_rate(self.global_step, ** learning_rate_params['world_model']['act_model']) self.um_lr_params, um_lr = get_learning_rate(self.global_step, ** learning_rate_params['uncertainty_model']) num_not_frozen = 0 self.targets = {} self.state_desc = updater_params.get('state_desc', 'depths1') if not freeze_wm: num_not_frozen += 1 act_opt_params, act_opt = get_optimizer(act_lr, self.wm.act_loss, self.global_step, optimizer_params['world_model']['act_model'], var_list = self.wm.act_var_list + self.wm.encode_var_list) self.targets['act_opt'] = act_opt if not freeze_um: num_not_frozen += 1 um_opt_params, um_opt = get_optimizer(um_lr, self.um.uncertainty_loss, self.global_step, optimizer_params['uncertainty_model'], var_list = self.um.var_list) self.targets['um_opt'] = um_opt if num_not_frozen == 0: self.targets['global_step'] = self.global_step self.targets['increment'] = tf.assign_add(self.global_step, 1) else: self.global_step = self.global_step / num_not_frozen self.targets['global_step'] = self.global_step self.targets.update({'act_lr' : act_lr, 'um_lr' : um_lr}) assert set(self.wm.readouts.keys()) != set(self.um.readouts.keys()) self.targets.update(self.wm.readouts) self.targets.update(self.um.readouts) um_increment = tf.assign_add(self.um.step, 1) assert 'um_increment' not in self.targets self.targets['um_increment'] = um_increment self.obj_there_supervision = updater_params.get('include_obj_there', False) #self.map_draw_mode = None #Map drawing. Meant to have options, but for now just assuming one sort of specification #self.state_desc = updater_params.get('state_desc', 'depths1') #self.map_draw_mode = updater_params['map_draw_mode'] #this specification specifices batch example indices for which we do a forward pass. #need to do one forward pass each index because action sampling is the 'batch.' #self.action_sampler = action_sampler #assert self.map_draw_mode == 'specified_indices' and self.action_sampler is not None, (self.map_draw_mode, action_sampler) #self.map_draw_example_indices = updater_params['map_draw_example_indices'] #self.map_draw_timestep_indices = updater_params['map_draw_timestep_indices'] #self.map_draw_freq = updater_params['map_draw_freq'] def update(self, sess, visualize = False): if self.um.just_random: print('Selecting action at random') batch = {} for i, dp in enumerate(self.data_provider): provider_batch = dp.dequeue_batch() for k in provider_batch: if k in batch: batch[k].append(provider_batch[k]) else: batch[k] = [provider_batch[k]] for k in ['action', 'action_post', self.state_desc]: batch[k] = np.concatenate(batch[k], axis=0) feed_dict = { self.wm.states : batch[self.state_desc], self.wm.action : batch['action'], self.wm.action_post : batch['action_post'] } if self.obj_there_supervision: batch['obj_there'] = np.concatenate(batch['obj_there'], axis = 0) feed_dict[self.wm.obj_there_via_msg] = batch['obj_there'] print('state desc! ' + self.state_desc) res = sess.run(self.targets, feed_dict = feed_dict) res.pop('um_increment') global_step = res['global_step'] #if self.map_draw_mode is not None and global_step % self.map_draw_freq == 0: # if self.map_draw_mode == 'specified_indices': # map_draw_res = [] # for idx in self.map_draw_example_indices: # obs_for_actor = [batch[self.state_desc][idx][t] for t in self.map_draw_timestep_indices] # action_samples = self.action_sampler.sample_actions() # action, entropy, estimated_world_loss = self.um.act(sess, action_samples, obs_for_actor) # to_add = {'example_id' : idx, 'action_sample' : action, 'estimated_world_loss' : estimated_world_loss, # 'action_samples' : action_samples, 'depths1' : batch[self.state_desc][idx], # 'action' : batch['action'][idx], 'action_post' : batch['action_post'][idx]} # map_draw_res.append(to_add) # res['map_draw'] = map_draw_res res = self.postprocessor.postprocess(res, batch) return res, global_step class JustUncertaintyUpdater: def __init__(self, models, data_provider, optimizer_params, learning_rate_params, postprocessor, updater_params, action_sampler = None): self.data_provider = data_provider \ if isinstance(data_provider, list) else [data_provider] self.wm = models['world_model'] self.um = models['uncertainty_model'] self.postprocessor = postprocessor self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.um_lr_params, um_lr = get_learning_rate(self.global_step, ** learning_rate_params['uncertainty_model']) um_opt_params, um_opt = get_optimizer(um_lr, self.um.uncertainty_loss, self.global_step, optimizer_params['uncertainty_model'], var_list = self.um.var_list) self.targets = {'global_step' : self.global_step, 'um_optimizer' : um_opt} assert set(self.wm.readouts.keys()) != set(self.um.readouts.keys()) self.targets.update(self.wm.readouts) self.targets.update(self.um.readouts) #self.targets = { # 'fut_pred' : self.wm.fut_pred, 'act_pred' : self.wm.act_pred, # 'fut_loss' : self.wm.fut_loss, 'act_loss' : self.wm.act_loss, # 'estimated_world_loss' : self.um.estimated_world_loss, # '' # } #self.targets.update({'um_loss' : self.um.uncertainty_loss, 'um_lr' : um_lr, 'um_optimizer' : um_opt, # 'global_step' : self.global_step, 'loss_per_example' : self.um.true_loss}) self.map_draw_mode = None #Map drawing. Meant to have options, but for now just assuming one sort of specification self.state_desc = updater_params.get('state_desc', 'depths1') self.map_draw_mode = updater_params['map_draw_mode'] #this specification specifices batch example indices for which we do a forward pass. #need to do one forward pass each index because action sampling is the 'batch.' self.action_sampler = action_sampler assert self.map_draw_mode == 'specified_indices' and self.action_sampler is not None, (self.map_draw_mode, action_sampler) self.map_draw_example_indices = updater_params['map_draw_example_indices'] self.map_draw_timestep_indices = updater_params['map_draw_timestep_indices'] self.map_draw_freq = updater_params['map_draw_freq'] def update(self, sess, visualize = False): batch = {} for i, dp in enumerate(self.data_provider): provider_batch = dp.dequeue_batch() for k in provider_batch: if k in batch: batch[k].append(provider_batch[k]) else: batch[k] = [provider_batch[k]] for k in ['action', 'action_post', 'depths1']: batch[k] = np.concatenate(batch[k], axis=0) feed_dict = { self.wm.states : batch[self.state_desc], self.wm.action : batch['action'], self.wm.action_post : batch['action_post'] } self.targets['global_step'] = self.global_step res = sess.run(self.targets, feed_dict = feed_dict) global_step = res['global_step'] if self.map_draw_mode is not None and global_step % self.map_draw_freq == 0: if self.map_draw_mode == 'specified_indices': map_draw_res = [] for idx in self.map_draw_example_indices: obs_for_actor = [batch[self.state_desc][idx][t] for t in self.map_draw_timestep_indices] action_samples = self.action_sampler.sample_actions() action, entropy, estimated_world_loss = self.um.act(sess, action_samples, obs_for_actor) to_add = {'example_id' : idx, 'action_sample' : action, 'estimated_world_loss' : estimated_world_loss, 'action_samples' : action_samples, 'depths1' : batch[self.state_desc][idx], 'action' : batch['action'][idx], 'action_post' : batch['action_post'][idx]} map_draw_res.append(to_add) res['map_draw'] = map_draw_res res = self.postprocessor.postprocess(res, batch) return res, global_step class ActionUncertaintyUpdater: def __init__(self, models, data_provider, optimizer_params, learning_rate_params, postprocessor, updater_params): self.data_provider = data_provider \ if isinstance(data_provider, list) else [data_provider] self.wm = models['world_model'] self.um = models['uncertainty_model'] self.postprocessor = postprocessor self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.act_lr_params, act_lr = get_learning_rate(self.global_step, ** learning_rate_params['world_model']['act_model']) self.um_lr_params, um_lr = get_learning_rate(self.global_step, ** learning_rate_params['uncertainty_model']) act_opt_params, act_opt = get_optimizer(act_lr, self.wm.act_loss, self.global_step, optimizer_params['world_model']['act_model'], var_list = self.wm.act_var_list + self.wm.encode_var_list) um_opt_params, um_opt = get_optimizer(um_lr, self.um.uncertainty_loss, self.global_step, optimizer_params['uncertainty_model'], var_list = self.um.var_list) self.global_step = self.global_step / 2 self.targets = {'act_pred' : self.wm.act_pred, 'act_loss' : self.wm.act_loss, 'act_optimizer' : act_opt, 'um_optimizer' : um_opt, 'estimated_world_loss' : self.um.estimated_world_loss, 'um_loss' : self.um.uncertainty_loss, 'loss_per_example' : self.um.true_loss, 'global_step' : self.global_step} def update(self, sess, visualize = False): batch = {} for i, dp in enumerate(self.data_provider): provider_batch = dp.dequeue_batch() for k in provider_batch: if k in batch: batch[k].append(provider_batch[k]) else: batch[k] = [provider_batch[k]] for k in ['action', 'action_post', 'depths1']: batch[k] = np.concatenate(batch[k], axis=0) state_desc = 'depths1' #depths, actions, actions_post, next_depth = postprocess_batch_depth(batch, state_desc) feed_dict = { self.wm.states : batch[state_desc], self.wm.action : batch['action'], self.wm.action_post : batch['action_post'] } self.targets['global_step'] = self.global_step res = sess.run(self.targets, feed_dict = feed_dict) glstep = res['global_step'] res = self.postprocessor.postprocess(res, batch) return res, glstep class LatentUncertaintyUpdater: def __init__(self, world_model, uncertainty_model, data_provider, optimizer_params, learning_rate_params, postprocessor, updater_params = None): self.data_provider = data_provider self.wm = world_model self.um = uncertainty_model self.postprocessor = postprocessor self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.act_lr_params, act_lr = get_learning_rate(self.global_step, ** learning_rate_params['world_model']['act_model']) self.fut_lr_params, fut_lr = get_learning_rate(self.global_step, ** learning_rate_params['world_model']['fut_model']) self.um_lr_params, um_lr = get_learning_rate(self.global_step, ** learning_rate_params['uncertainty_model']) act_opt_params, act_opt = get_optimizer(act_lr, self.wm.act_loss, self.global_step, optimizer_params['world_model']['act_model'], var_list = self.wm.act_var_list + self.wm.encode_var_list) fut_opt_params, fut_opt = get_optimizer(fut_lr, self.wm.fut_loss, self.global_step, optimizer_params['world_model']['fut_model'], var_list = self.wm.fut_var_list) um_opt_params, um_opt = get_optimizer(um_lr, self.um.uncertainty_loss, self.global_step, optimizer_params['uncertainty_model'], var_list = self.um.var_list) self.global_step = self.global_step / 3 self.targets = {'encoding_i' : self.wm.encoding_i, 'encoding_f' : self.wm.encoding_f, 'fut_pred' : self.wm.fut_pred, 'act_pred' : self.wm.act_pred, 'act_optimizer' : act_opt, 'fut_optimizer' : fut_opt, 'act_lr' : act_lr, 'fut_lr' : fut_lr, 'fut_loss' : self.wm.fut_loss, 'act_loss' : self.wm.act_loss, 'estimated_world_loss' : self.um.estimated_world_loss } self.targets.update({'um_loss' : self.um.uncertainty_loss, 'um_lr' : um_lr, 'um_optimizer' : um_opt, 'global_step' : self.global_step, 'loss_per_example' : self.um.true_loss}) self.state_desc = updater_params['state_desc'] #checking that we don't have repeat names def start(self, sess): self.data_provider.start_runner(sess) sess.run(tf.global_variables_initializer()) def update(self, sess, visualize = False): batch = self.data_provider.dequeue_batch() state_desc = self.state_desc #depths, actions, actions_post, next_depth = postprocess_batch_depth(batch, state_desc) feed_dict = { self.wm.states : batch[state_desc], self.wm.action : batch['action'], self.wm.action_post : batch['action_post'] } res = sess.run(self.targets, feed_dict = feed_dict) res = self.postprocessor.postprocess(res, batch) return res class UncertaintyUpdater: def __init__(self, world_model, uncertainty_model, data_provider, optimizer_params, learning_rate_params, postprocessor): self.data_provider = data_provider self.world_model = world_model self.um = uncertainty_model self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.wm_lr_params, wm_learning_rate = get_learning_rate(self.global_step, ** learning_rate_params['world_model']) self.wm_opt_params, wm_opt = get_optimizer(wm_learning_rate, self.world_model.loss, self.global_step, optimizer_params['world_model']) self.world_model_targets = {'given' : self.world_model.processed_input, 'loss' : self.world_model.loss, 'loss_per_example' : self.world_model.loss_per_example, 'learning_rate' : wm_learning_rate, 'optimizer' : wm_opt, 'prediction' : self.world_model.pred, 'tv' : self.world_model.tv} self.inc_step = self.global_step.assign_add(1) self.um_lr_params, um_learning_rate = get_learning_rate(self.global_step, **learning_rate_params['uncertainty_model']) self.um_lr_params, um_opt = get_optimizer(um_learning_rate, self.um.uncertainty_loss, self.global_step, optimizer_params['uncertainty_model']) self.global_step = self.global_step / 2 self.um_targets = {'loss' : self.um.uncertainty_loss, 'learning_rate' : um_learning_rate, 'optimizer' : um_opt, 'global_step' : self.global_step} self.postprocessor = postprocessor self.world_action_time = self.world_model.action.get_shape().as_list()[1] def start(self, sess): self.data_provider.start_runner(sess) sess.run(tf.global_variables_initializer()) def update(self, sess, visualize = False): batch = self.data_provider.dequeue_batch() state_desc = self.um.state_descriptor wm_feed_dict = { self.world_model.states : batch[state_desc], self.world_model.action : batch['action'][:, -self.world_action_time : ] } world_model_res = sess.run(self.world_model_targets, feed_dict = wm_feed_dict) um_feed_dict = { self.um.s_i : batch[state_desc][:, :-1], self.um.action_sample : batch['action'][:, -1], self.um.true_loss : world_model_res['loss_per_example'] } um_res = sess.run(self.um_targets, feed_dict = um_feed_dict) wm_res_new = dict(('wm_' + k, v) for k, v in world_model_res.iteritems()) um_res_new = dict(('um_' + k, v) for k, v in um_res.iteritems()) wm_res_new.update(um_res_new) res = wm_res_new res['global_step'] = res.pop('um_global_step') res = self.postprocessor.postprocess(wm_res_new, batch) return res class DamianWMUncertaintyUpdater: def __init__(self, world_model, uncertainty_model, data_provider, optimizer_params, learning_rate_params, postprocessor): self.data_provider = data_provider self.world_model = world_model self.um = uncertainty_model self.global_step = tf.get_variable('global_step', [], tf.int32, initializer = tf.constant_initializer(0,dtype = tf.int32)) self.wm_lr_params, wm_learning_rate = get_learning_rate(self.global_step, ** learning_rate_params['world_model']) self.wm_opt_params, wm_opt = get_optimizer(wm_learning_rate, self.world_model.loss, self.global_step, optimizer_params['world_model']) self.world_model_targets = {'given' : self.world_model.processed_input, 'loss' : self.world_model.loss, 'learning_rate' : wm_learning_rate, 'optimizer' : wm_opt, 'prediction' : self.world_model.pred, 'tv' : self.world_model.tv} self.inc_step = self.global_step.assign_add(1) self.wm_lr_params, um_learning_rate = get_learning_rate(self.global_step, **learning_rate_params['uncertainty_model']) self.wm_lr_params, um_opt = get_optimizer(um_learning_rate, self.um.uncertainty_loss, self.global_step, optimizer_params['uncertainty_model']) self.um_targets = {'loss' : self.um.uncertainty_loss, 'learning_rate' : um_learning_rate, 'optimizer' : um_opt, 'global_step' : self.global_step} self.postprocessor = postprocessor def start(self, sess): self.data_provider.start_runner(sess) sess.run(tf.global_variables_initializer()) def update(self, sess, visualize = False): batch = self.data_provider.dequeue_batch() depths, objects, actions, action_ids, next_depth = postprocess_batch_for_actionmap(batch) wm_feed_dict = { self.world_model.s_i : depths, self.world_model.s_f : next_depth, self.world_model.action : actions, self.world_model.action_id : action_ids, self.world_model.objects : objects } world_model_res = sess.run(self.world_model_targets, feed_dict = wm_feed_dict) if visualize: cv2.imshow('pred', world_model_res['prediction'][0] / 4.)#TODO clean up w colors cv2.imshow('tv', world_model_res['tv'][0] / 4.) cv2.imshow('processed0', world_model_res['given'][0, 0] / 4.) cv2.imshow('processed1', world_model_res['given'][0, 1] / 4.) cv2.waitKey(1) print('wm loss: ' + str(world_model_res['loss'])) um_feed_dict = { self.um.s_i : depths, self.um.action_sample : actions[:, -1], self.um.true_loss : np.array([world_model_res['loss']]) } um_res = sess.run(self.um_targets, feed_dict = um_feed_dict) wm_res_new = dict(('wm_' + k, v) for k, v in world_model_res.iteritems()) um_res_new = dict(('um_' + k, v) for k, v in um_res.iteritems()) wm_res_new.update(um_res_new) res['global_step'] = res.pop('um_global_step') res = self.postprocessor.postprocess(wm_res_new, batch) return res

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e12b9d238c837bf0da1894ff7d36d73870e254ac

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Python

exams/migrations/0020_auto_20210805_1401.py

ankanb240/otis-web

45eda65b419705c65c02b15872a137969d53d8e9

[ "MIT" ]

15

2021-08-28T18:18:37.000Z

2022-03-13T07:48:15.000Z

exams/migrations/0020_auto_20210805_1401.py

ankanb240/otis-web

45eda65b419705c65c02b15872a137969d53d8e9

[ "MIT" ]

65

2021-08-20T02:37:27.000Z

2022-02-07T17:19:23.000Z

exams/migrations/0020_auto_20210805_1401.py

ankanb240/otis-web

45eda65b419705c65c02b15872a137969d53d8e9

[ "MIT" ]

31

2020-01-09T02:35:29.000Z

2022-03-13T07:48:18.000Z

# Generated by Django 3.2.5 on 2021-08-05 18:01 import django.core.validators from django.db import migrations, models import re class Migration(migrations.Migration): dependencies = [ ('exams', '0019_auto_20210805_1334'), ] operations = [ migrations.AlterField( model_name='examattempt', name='guess1', field=models.IntegerField(blank=True, null=True, validators=[django.core.validators.MinValueValidator(-1000000000), django.core.validators.MaxValueValidator(1000000000)], verbose_name='Problem 1 response'), ), migrations.AlterField( model_name='examattempt', name='guess2', field=models.IntegerField(blank=True, null=True, validators=[django.core.validators.MinValueValidator(-1000000000), django.core.validators.MaxValueValidator(1000000000)], verbose_name='Problem 2 response'), ), migrations.AlterField( model_name='examattempt', name='guess3', field=models.IntegerField(blank=True, null=True, validators=[django.core.validators.MinValueValidator(-1000000000), django.core.validators.MaxValueValidator(1000000000)], verbose_name='Problem 3 response'), ), migrations.AlterField( model_name='examattempt', name='guess4', field=models.IntegerField(blank=True, null=True, validators=[django.core.validators.MinValueValidator(-1000000000), django.core.validators.MaxValueValidator(1000000000)], verbose_name='Problem 4 response'), ), migrations.AlterField( model_name='examattempt', name='guess5', field=models.IntegerField(blank=True, null=True, validators=[django.core.validators.MinValueValidator(-1000000000), django.core.validators.MaxValueValidator(1000000000)], verbose_name='Problem 5 response'), ), migrations.AlterField( model_name='practiceexam', name='answer1', field=models.CharField(default='', max_length=64, validators=[django.core.validators.RegexValidator(re.compile('^\\d+(?:,\\d+)*\\Z'), code='invalid', message='Enter only digits separated by commas.')]), preserve_default=False, ), migrations.AlterField( model_name='practiceexam', name='answer2', field=models.CharField(default='', max_length=64, validators=[django.core.validators.RegexValidator(re.compile('^\\d+(?:,\\d+)*\\Z'), code='invalid', message='Enter only digits separated by commas.')]), preserve_default=False, ), migrations.AlterField( model_name='practiceexam', name='answer3', field=models.CharField(default='', max_length=64, validators=[django.core.validators.RegexValidator(re.compile('^\\d+(?:,\\d+)*\\Z'), code='invalid', message='Enter only digits separated by commas.')]), preserve_default=False, ), migrations.AlterField( model_name='practiceexam', name='answer4', field=models.CharField(default='', max_length=64, validators=[django.core.validators.RegexValidator(re.compile('^\\d+(?:,\\d+)*\\Z'), code='invalid', message='Enter only digits separated by commas.')]), preserve_default=False, ), migrations.AlterField( model_name='practiceexam', name='answer5', field=models.CharField(default='', max_length=64, validators=[django.core.validators.RegexValidator(re.compile('^\\d+(?:,\\d+)*\\Z'), code='invalid', message='Enter only digits separated by commas.')]), preserve_default=False, ), ]

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014434b9827abaf3a6d57e8eae651e94e24baa65

16,584

py

Python

sdk/python/pulumi_ucloud/vpc/vpc.py

AaronFriel/pulumi-ucloud

199278786dddf46bdd370f3f805e30b279c63ff2

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

4

2021-08-18T04:55:38.000Z

2021-09-08T07:59:24.000Z

sdk/python/pulumi_ucloud/vpc/vpc.py

AaronFriel/pulumi-ucloud

199278786dddf46bdd370f3f805e30b279c63ff2

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

1

2022-01-28T17:59:37.000Z

2022-01-29T03:44:09.000Z

sdk/python/pulumi_ucloud/vpc/vpc.py

AaronFriel/pulumi-ucloud

199278786dddf46bdd370f3f805e30b279c63ff2

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

2

2021-06-23T07:10:40.000Z

2021-06-23T09:25:12.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['VPCArgs', 'VPC'] @pulumi.input_type class VPCArgs: def __init__(__self__, *, cidr_blocks: pulumi.Input[Sequence[pulumi.Input[str]]], name: Optional[pulumi.Input[str]] = None, remark: Optional[pulumi.Input[str]] = None, tag: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a VPC resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] cidr_blocks: The CIDR blocks of VPC. :param pulumi.Input[str] remark: The remarks of the VPC. (Default: `""`). :param pulumi.Input[str] tag: A tag assigned to VPC, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`). """ pulumi.set(__self__, "cidr_blocks", cidr_blocks) if name is not None: pulumi.set(__self__, "name", name) if remark is not None: pulumi.set(__self__, "remark", remark) if tag is not None: pulumi.set(__self__, "tag", tag) @property @pulumi.getter(name="cidrBlocks") def cidr_blocks(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ The CIDR blocks of VPC. """ return pulumi.get(self, "cidr_blocks") @cidr_blocks.setter def cidr_blocks(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "cidr_blocks", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def remark(self) -> Optional[pulumi.Input[str]]: """ The remarks of the VPC. (Default: `""`). """ return pulumi.get(self, "remark") @remark.setter def remark(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "remark", value) @property @pulumi.getter def tag(self) -> Optional[pulumi.Input[str]]: """ A tag assigned to VPC, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`). """ return pulumi.get(self, "tag") @tag.setter def tag(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "tag", value) @pulumi.input_type class _VPCState: def __init__(__self__, *, cidr_blocks: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, create_time: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, network_infos: Optional[pulumi.Input[Sequence[pulumi.Input['VPCNetworkInfoArgs']]]] = None, remark: Optional[pulumi.Input[str]] = None, tag: Optional[pulumi.Input[str]] = None, update_time: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering VPC resources. :param pulumi.Input[Sequence[pulumi.Input[str]]] cidr_blocks: The CIDR blocks of VPC. :param pulumi.Input[str] create_time: The time of creation for VPC, formatted in RFC3339 time string. :param pulumi.Input[Sequence[pulumi.Input['VPCNetworkInfoArgs']]] network_infos: It is a nested type which documented below. :param pulumi.Input[str] remark: The remarks of the VPC. (Default: `""`). :param pulumi.Input[str] tag: A tag assigned to VPC, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`). :param pulumi.Input[str] update_time: The time whenever there is a change made to VPC, formatted in RFC3339 time string. """ if cidr_blocks is not None: pulumi.set(__self__, "cidr_blocks", cidr_blocks) if create_time is not None: pulumi.set(__self__, "create_time", create_time) if name is not None: pulumi.set(__self__, "name", name) if network_infos is not None: pulumi.set(__self__, "network_infos", network_infos) if remark is not None: pulumi.set(__self__, "remark", remark) if tag is not None: pulumi.set(__self__, "tag", tag) if update_time is not None: pulumi.set(__self__, "update_time", update_time) @property @pulumi.getter(name="cidrBlocks") def cidr_blocks(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ The CIDR blocks of VPC. """ return pulumi.get(self, "cidr_blocks") @cidr_blocks.setter def cidr_blocks(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "cidr_blocks", value) @property @pulumi.getter(name="createTime") def create_time(self) -> Optional[pulumi.Input[str]]: """ The time of creation for VPC, formatted in RFC3339 time string. """ return pulumi.get(self, "create_time") @create_time.setter def create_time(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "create_time", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="networkInfos") def network_infos(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['VPCNetworkInfoArgs']]]]: """ It is a nested type which documented below. """ return pulumi.get(self, "network_infos") @network_infos.setter def network_infos(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['VPCNetworkInfoArgs']]]]): pulumi.set(self, "network_infos", value) @property @pulumi.getter def remark(self) -> Optional[pulumi.Input[str]]: """ The remarks of the VPC. (Default: `""`). """ return pulumi.get(self, "remark") @remark.setter def remark(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "remark", value) @property @pulumi.getter def tag(self) -> Optional[pulumi.Input[str]]: """ A tag assigned to VPC, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`). """ return pulumi.get(self, "tag") @tag.setter def tag(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "tag", value) @property @pulumi.getter(name="updateTime") def update_time(self) -> Optional[pulumi.Input[str]]: """ The time whenever there is a change made to VPC, formatted in RFC3339 time string. """ return pulumi.get(self, "update_time") @update_time.setter def update_time(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "update_time", value) class VPC(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, cidr_blocks: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, name: Optional[pulumi.Input[str]] = None, remark: Optional[pulumi.Input[str]] = None, tag: Optional[pulumi.Input[str]] = None, __props__=None): """ Provides a VPC resource. > **Note** The network segment can only be created or deleted, can not perform both of them at the same time. ## Example Usage ```python import pulumi import pulumi_ucloud as ucloud example = ucloud.vpc.VPC("example", cidr_blocks=["192.168.0.0/16"], tag="tf-example") ``` ## Import VPC can be imported using the `id`, e.g. ```sh $ pulumi import ucloud:vpc/vPC:VPC example uvnet-abc123456 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] cidr_blocks: The CIDR blocks of VPC. :param pulumi.Input[str] remark: The remarks of the VPC. (Default: `""`). :param pulumi.Input[str] tag: A tag assigned to VPC, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`). """ ... @overload def __init__(__self__, resource_name: str, args: VPCArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a VPC resource. > **Note** The network segment can only be created or deleted, can not perform both of them at the same time. ## Example Usage ```python import pulumi import pulumi_ucloud as ucloud example = ucloud.vpc.VPC("example", cidr_blocks=["192.168.0.0/16"], tag="tf-example") ``` ## Import VPC can be imported using the `id`, e.g. ```sh $ pulumi import ucloud:vpc/vPC:VPC example uvnet-abc123456 ``` :param str resource_name: The name of the resource. :param VPCArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(VPCArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, cidr_blocks: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, name: Optional[pulumi.Input[str]] = None, remark: Optional[pulumi.Input[str]] = None, tag: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = VPCArgs.__new__(VPCArgs) if cidr_blocks is None and not opts.urn: raise TypeError("Missing required property 'cidr_blocks'") __props__.__dict__["cidr_blocks"] = cidr_blocks __props__.__dict__["name"] = name __props__.__dict__["remark"] = remark __props__.__dict__["tag"] = tag __props__.__dict__["create_time"] = None __props__.__dict__["network_infos"] = None __props__.__dict__["update_time"] = None super(VPC, __self__).__init__( 'ucloud:vpc/vPC:VPC', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, cidr_blocks: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, create_time: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, network_infos: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['VPCNetworkInfoArgs']]]]] = None, remark: Optional[pulumi.Input[str]] = None, tag: Optional[pulumi.Input[str]] = None, update_time: Optional[pulumi.Input[str]] = None) -> 'VPC': """ Get an existing VPC resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] cidr_blocks: The CIDR blocks of VPC. :param pulumi.Input[str] create_time: The time of creation for VPC, formatted in RFC3339 time string. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['VPCNetworkInfoArgs']]]] network_infos: It is a nested type which documented below. :param pulumi.Input[str] remark: The remarks of the VPC. (Default: `""`). :param pulumi.Input[str] tag: A tag assigned to VPC, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`). :param pulumi.Input[str] update_time: The time whenever there is a change made to VPC, formatted in RFC3339 time string. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _VPCState.__new__(_VPCState) __props__.__dict__["cidr_blocks"] = cidr_blocks __props__.__dict__["create_time"] = create_time __props__.__dict__["name"] = name __props__.__dict__["network_infos"] = network_infos __props__.__dict__["remark"] = remark __props__.__dict__["tag"] = tag __props__.__dict__["update_time"] = update_time return VPC(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="cidrBlocks") def cidr_blocks(self) -> pulumi.Output[Sequence[str]]: """ The CIDR blocks of VPC. """ return pulumi.get(self, "cidr_blocks") @property @pulumi.getter(name="createTime") def create_time(self) -> pulumi.Output[str]: """ The time of creation for VPC, formatted in RFC3339 time string. """ return pulumi.get(self, "create_time") @property @pulumi.getter def name(self) -> pulumi.Output[str]: return pulumi.get(self, "name") @property @pulumi.getter(name="networkInfos") def network_infos(self) -> pulumi.Output[Sequence['outputs.VPCNetworkInfo']]: """ It is a nested type which documented below. """ return pulumi.get(self, "network_infos") @property @pulumi.getter def remark(self) -> pulumi.Output[str]: """ The remarks of the VPC. (Default: `""`). """ return pulumi.get(self, "remark") @property @pulumi.getter def tag(self) -> pulumi.Output[Optional[str]]: """ A tag assigned to VPC, which contains at most 63 characters and only support Chinese, English, numbers, '-', '_', and '.'. If it is not filled in or a empty string is filled in, then default tag will be assigned. (Default: `Default`). """ return pulumi.get(self, "tag") @property @pulumi.getter(name="updateTime") def update_time(self) -> pulumi.Output[str]: """ The time whenever there is a change made to VPC, formatted in RFC3339 time string. """ return pulumi.get(self, "update_time")

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null

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7

6dcf02cbbf92488d6d8f902d026fee57c2a0ba1a

161

py

Python

users/admin.py

shubhankar5/Mitron-Achatting-app-in-django

524086254794a713110e496b70588865116c322f

[ "Apache-2.0" ]

7

2021-03-10T13:28:30.000Z

2021-12-22T15:40:16.000Z

users/admin.py

shubhankar5/Mitron-Achatting-app-in-django

524086254794a713110e496b70588865116c322f

[ "Apache-2.0" ]

1

2022-03-11T04:29:39.000Z

2022-03-12T17:57:23.000Z

users/admin.py

shubhankar5/Mitron-Achatting-app-in-django

524086254794a713110e496b70588865116c322f

[ "Apache-2.0" ]

4

2021-07-10T16:49:28.000Z

2022-03-11T04:54:21.000Z

from django.contrib import admin from .models import Profile, Address, Friends, BlockedUsers admin.site.register([Profile, Address, Friends, BlockedUsers])

32.2

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161

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1

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8

6dd713e0a39ff1a65090d3769d274eada8575039

335,940

py

Python

pysnmp/NETBOTZ320-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

11

2021-02-02T16:27:16.000Z

2021-08-31T06:22:49.000Z

pysnmp/NETBOTZ320-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

75

2021-02-24T17:30:31.000Z

2021-12-08T00:01:18.000Z

pysnmp/NETBOTZ320-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module NETBOTZ320-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/NETBOTZ320-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 20:08:48 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueSizeConstraint", "ValueRangeConstraint") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") MibScalar, MibTable, MibTableRow, MibTableColumn, enterprises, Counter32, IpAddress, Integer32, iso, MibIdentifier, Counter64, NotificationType, ModuleIdentity, Bits, Unsigned32, Gauge32, ObjectIdentity, TimeTicks = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "enterprises", "Counter32", "IpAddress", "Integer32", "iso", "MibIdentifier", "Counter64", "NotificationType", "ModuleIdentity", "Bits", "Unsigned32", "Gauge32", "ObjectIdentity", "TimeTicks") DateAndTime, TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "DateAndTime", "TextualConvention", "DisplayString") netBotz_APC = ModuleIdentity((1, 3, 6, 1, 4, 1, 5528, 100, 1)).setLabel("netBotz-APC") netBotz_APC.setRevisions(('2009-07-02 00:00',)) if mibBuilder.loadTexts: netBotz_APC.setLastUpdated('200907020000Z') if mibBuilder.loadTexts: netBotz_APC.setOrganization('Schneider Electric / APC') netBotzAPC = MibIdentifier((1, 3, 6, 1, 4, 1, 5528)) netBotz = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100)) netBotzTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10)) netBotzTrapParms = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 11)) netBotzProducts = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20)) netBotzGenericTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 1)) netBotzSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2)) netBotzPodTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3)) netBotzPortTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 4)) netBotzTempSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1)) netBotzHumiditySensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2)) netBotzDewPointSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3)) netBotzAirFlowSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4)) netBotzAudioSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5)) netBotzAmpDetectSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6)) netBotzDryContactSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 7)) netBotzCameraMotionSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 8)) netBotzDoorSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 9)) netBotzMicPlugSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 10)) netBotzSpeakerPlugSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 11)) netBotzTVSignalSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 12)) netBotzGPSPositionSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13)) netBotzGPSMovementSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14)) netBotzGPSStatusSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 15)) netBotzWirelessStatusSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 22)) netBotzPacketDropSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23)) netBotzSNMPCrawlerSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24)) netBotzPlugModuleStatusSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 25)) netBotzOutputControlSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 26)) netBotzMultiRAESensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27)) netBotzMultiRAESensorStatusTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 28)) netBotzMultiRAEDeviceStatusTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 29)) netBotzLinkStatusSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 30)) netBotzLoopVoltageSensorTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31)) netBotzBasePodTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 1)) netBotzSensorPodTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 2)) netBotzCameraPodTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 3)) netBotzCCTVPodTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 4)) netBotz4to20mAPodTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 5)) netBotzBotz = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10)) netBotzWallBotz500 = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2000)) netBotz420Wall = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2001)) raeSystemsAreaConnect500 = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2002)) netBotz420Rack = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2003)) netBotz320Wall = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2004)) netBotz320Rack = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2005)) netBotz420ERack = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2006)) netBotz320ERack = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2007)) netBotz220Camera = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2008)) apprion500 = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2009)) avocent500 = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2010)) netBotz320EWall = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2011)) netBotz420EWall = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2012)) netBotz550Rack = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2013)) netBotz450Rack = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2014)) netBotz455Wall = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2015)) netBotz355Wall = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 20, 10, 2016)) class OperStatus(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2)) namedValues = NamedValues(("disconnected", 0), ("error", 1), ("normal", 2)) class ErrorStatus(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5)) namedValues = NamedValues(("normal", 0), ("info", 1), ("warning", 2), ("error", 3), ("critical", 4), ("failure", 5)) class BoolValue(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2)) namedValues = NamedValues(("no", 0), ("yes", 1), ("null", 2)) netBotzEnclosures = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 2)) netBotzPorts = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 3)) netBotzSensors = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 4)) netBotzErrors = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 5)) netBotzNumericSensors = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1)) netBotzStateSensors = MibIdentifier((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2)) netBotzErrorStatus = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 100), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzErrorStatus.setStatus('current') enclosureTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 2, 1), ) if mibBuilder.loadTexts: enclosureTable.setStatus('current') enclosureEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 2, 1, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "enclosureIndex")) if mibBuilder.loadTexts: enclosureEntry.setStatus('current') enclosureId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 2, 1, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: enclosureId.setStatus('current') enclosureStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 2, 1, 1, 2), OperStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: enclosureStatus.setStatus('current') enclosureErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 2, 1, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: enclosureErrorStatus.setStatus('current') enclosureLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 2, 1, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: enclosureLabel.setStatus('current') enclosureParentEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 2, 1, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: enclosureParentEncId.setStatus('current') enclosureDockedToEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 2, 1, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: enclosureDockedToEncId.setStatus('current') enclosureIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 2, 1, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: enclosureIndex.setStatus('current') dinPortTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1), ) if mibBuilder.loadTexts: dinPortTable.setStatus('current') dinPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "dinPortIndex")) if mibBuilder.loadTexts: dinPortEntry.setStatus('current') dinPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: dinPortId.setStatus('current') dinPortStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1, 1, 2), OperStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: dinPortStatus.setStatus('current') dinPortLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1, 1, 3), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: dinPortLabel.setStatus('current') dinPortEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: dinPortEncId.setStatus('current') dinPortSensorIdSuffix = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1, 1, 5), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: dinPortSensorIdSuffix.setStatus('current') dinPortSupportsAverage = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1, 1, 6), BoolValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: dinPortSupportsAverage.setStatus('current') dinPortSupportsRMS = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1, 1, 7), BoolValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: dinPortSupportsRMS.setStatus('current') dinPortSupportsDryContact = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1, 1, 8), BoolValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: dinPortSupportsDryContact.setStatus('current') dinPortIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 1, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: dinPortIndex.setStatus('current') otherPortTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 3, 10), ) if mibBuilder.loadTexts: otherPortTable.setStatus('current') otherPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 3, 10, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "otherPortIndex")) if mibBuilder.loadTexts: otherPortEntry.setStatus('current') otherPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 10, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: otherPortId.setStatus('current') otherPortStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 10, 1, 2), OperStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherPortStatus.setStatus('current') otherPortLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 10, 1, 3), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherPortLabel.setStatus('current') otherPortEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 10, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: otherPortEncId.setStatus('current') otherPortIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 3, 10, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherPortIndex.setStatus('current') tempSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1), ) if mibBuilder.loadTexts: tempSensorTable.setStatus('current') tempSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "tempSensorIndex")) if mibBuilder.loadTexts: tempSensorEntry.setStatus('current') tempSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: tempSensorId.setStatus('current') tempSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-500, 1000))).setMaxAccess("readonly") if mibBuilder.loadTexts: tempSensorValue.setStatus('current') tempSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: tempSensorErrorStatus.setStatus('current') tempSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: tempSensorLabel.setStatus('current') tempSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: tempSensorEncId.setStatus('current') tempSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: tempSensorPortId.setStatus('current') tempSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: tempSensorValueStr.setStatus('current') tempSensorValueInt = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-50, 100))).setMaxAccess("readonly") if mibBuilder.loadTexts: tempSensorValueInt.setStatus('current') tempSensorValueIntF = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-50, 212))).setMaxAccess("readonly") if mibBuilder.loadTexts: tempSensorValueIntF.setStatus('current') tempSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 1, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: tempSensorIndex.setStatus('current') humiSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2), ) if mibBuilder.loadTexts: humiSensorTable.setStatus('current') humiSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "humiSensorIndex")) if mibBuilder.loadTexts: humiSensorEntry.setStatus('current') humiSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: humiSensorId.setStatus('current') humiSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 1000))).setMaxAccess("readonly") if mibBuilder.loadTexts: humiSensorValue.setStatus('current') humiSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: humiSensorErrorStatus.setStatus('current') humiSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: humiSensorLabel.setStatus('current') humiSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: humiSensorEncId.setStatus('current') humiSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: humiSensorPortId.setStatus('current') humiSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: humiSensorValueStr.setStatus('current') humiSensorValueInt = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 100))).setMaxAccess("readonly") if mibBuilder.loadTexts: humiSensorValueInt.setStatus('current') humiSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 2, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: humiSensorIndex.setStatus('current') dewPointSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3), ) if mibBuilder.loadTexts: dewPointSensorTable.setStatus('current') dewPointSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "dewPointSensorIndex")) if mibBuilder.loadTexts: dewPointSensorEntry.setStatus('current') dewPointSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: dewPointSensorId.setStatus('current') dewPointSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-500, 1000))).setMaxAccess("readonly") if mibBuilder.loadTexts: dewPointSensorValue.setStatus('current') dewPointSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: dewPointSensorErrorStatus.setStatus('current') dewPointSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: dewPointSensorLabel.setStatus('current') dewPointSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: dewPointSensorEncId.setStatus('current') dewPointSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: dewPointSensorPortId.setStatus('current') dewPointSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: dewPointSensorValueStr.setStatus('current') dewPointSensorValueInt = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-50, 100))).setMaxAccess("readonly") if mibBuilder.loadTexts: dewPointSensorValueInt.setStatus('current') dewPointSensorValueIntF = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-40, 122))).setMaxAccess("readonly") if mibBuilder.loadTexts: dewPointSensorValueIntF.setStatus('current') dewPointSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 3, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: dewPointSensorIndex.setStatus('current') audioSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4), ) if mibBuilder.loadTexts: audioSensorTable.setStatus('current') audioSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "audioSensorIndex")) if mibBuilder.loadTexts: audioSensorEntry.setStatus('current') audioSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: audioSensorId.setStatus('current') audioSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: audioSensorValue.setStatus('current') audioSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: audioSensorErrorStatus.setStatus('current') audioSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: audioSensorLabel.setStatus('current') audioSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: audioSensorEncId.setStatus('current') audioSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: audioSensorPortId.setStatus('current') audioSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: audioSensorValueStr.setStatus('current') audioSensorValueInt = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: audioSensorValueInt.setStatus('current') audioSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 4, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: audioSensorIndex.setStatus('current') airFlowSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5), ) if mibBuilder.loadTexts: airFlowSensorTable.setStatus('current') airFlowSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "airFlowSensorIndex")) if mibBuilder.loadTexts: airFlowSensorEntry.setStatus('current') airFlowSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: airFlowSensorId.setStatus('current') airFlowSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 10000))).setMaxAccess("readonly") if mibBuilder.loadTexts: airFlowSensorValue.setStatus('current') airFlowSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: airFlowSensorErrorStatus.setStatus('current') airFlowSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: airFlowSensorLabel.setStatus('current') airFlowSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: airFlowSensorEncId.setStatus('current') airFlowSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: airFlowSensorPortId.setStatus('current') airFlowSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: airFlowSensorValueStr.setStatus('current') airFlowSensorValueInt = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 1000))).setMaxAccess("readonly") if mibBuilder.loadTexts: airFlowSensorValueInt.setStatus('current') airFlowSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 5, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: airFlowSensorIndex.setStatus('current') ampDetectSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6), ) if mibBuilder.loadTexts: ampDetectSensorTable.setStatus('current') ampDetectSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "ampDetectSensorIndex")) if mibBuilder.loadTexts: ampDetectSensorEntry.setStatus('current') ampDetectSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: ampDetectSensorId.setStatus('current') ampDetectSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: ampDetectSensorValue.setStatus('current') ampDetectSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: ampDetectSensorErrorStatus.setStatus('current') ampDetectSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ampDetectSensorLabel.setStatus('current') ampDetectSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: ampDetectSensorEncId.setStatus('current') ampDetectSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: ampDetectSensorPortId.setStatus('current') ampDetectSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: ampDetectSensorValueStr.setStatus('current') ampDetectSensorValueInt = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 6554))).setMaxAccess("readonly") if mibBuilder.loadTexts: ampDetectSensorValueInt.setStatus('current') ampDetectSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 6, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: ampDetectSensorIndex.setStatus('current') otherNumericSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10), ) if mibBuilder.loadTexts: otherNumericSensorTable.setStatus('current') otherNumericSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "otherNumericSensorIndex")) if mibBuilder.loadTexts: otherNumericSensorEntry.setStatus('current') otherNumericSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorId.setStatus('current') otherNumericSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorValue.setStatus('current') otherNumericSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorErrorStatus.setStatus('current') otherNumericSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorLabel.setStatus('current') otherNumericSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorEncId.setStatus('current') otherNumericSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorPortId.setStatus('current') otherNumericSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorValueStr.setStatus('current') otherNumericSensorValueInt = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorValueInt.setStatus('current') otherNumericSensorUnits = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 9), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorUnits.setStatus('current') otherNumericSensorValueIntX1000 = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorValueIntX1000.setStatus('current') otherNumericSensorValueIntX1000000 = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorValueIntX1000000.setStatus('current') otherNumericSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 1, 10, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherNumericSensorIndex.setStatus('current') dryContactSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 1), ) if mibBuilder.loadTexts: dryContactSensorTable.setStatus('current') dryContactSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 1, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "dryContactSensorIndex")) if mibBuilder.loadTexts: dryContactSensorEntry.setStatus('current') dryContactSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 1, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: dryContactSensorId.setStatus('current') dryContactSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(-1, 0, 1))).clone(namedValues=NamedValues(("null", -1), ("open", 0), ("closed", 1)))).setMaxAccess("readonly") if mibBuilder.loadTexts: dryContactSensorValue.setStatus('current') dryContactSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 1, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: dryContactSensorErrorStatus.setStatus('current') dryContactSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 1, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: dryContactSensorLabel.setStatus('current') dryContactSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 1, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: dryContactSensorEncId.setStatus('current') dryContactSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 1, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: dryContactSensorPortId.setStatus('current') dryContactSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 1, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: dryContactSensorValueStr.setStatus('current') dryContactSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 1, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: dryContactSensorIndex.setStatus('current') doorSwitchSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 2), ) if mibBuilder.loadTexts: doorSwitchSensorTable.setStatus('current') doorSwitchSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 2, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "doorSwitchSensorIndex")) if mibBuilder.loadTexts: doorSwitchSensorEntry.setStatus('current') doorSwitchSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 2, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: doorSwitchSensorId.setStatus('current') doorSwitchSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(-1, 0, 1))).clone(namedValues=NamedValues(("null", -1), ("open", 0), ("closed", 1)))).setMaxAccess("readonly") if mibBuilder.loadTexts: doorSwitchSensorValue.setStatus('current') doorSwitchSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 2, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: doorSwitchSensorErrorStatus.setStatus('current') doorSwitchSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 2, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: doorSwitchSensorLabel.setStatus('current') doorSwitchSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 2, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: doorSwitchSensorEncId.setStatus('current') doorSwitchSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 2, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: doorSwitchSensorPortId.setStatus('current') doorSwitchSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 2, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: doorSwitchSensorValueStr.setStatus('current') doorSwitchSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 2, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: doorSwitchSensorIndex.setStatus('current') cameraMotionSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 3), ) if mibBuilder.loadTexts: cameraMotionSensorTable.setStatus('current') cameraMotionSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 3, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "cameraMotionSensorIndex")) if mibBuilder.loadTexts: cameraMotionSensorEntry.setStatus('current') cameraMotionSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 3, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: cameraMotionSensorId.setStatus('current') cameraMotionSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 3, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(-1, 0, 1))).clone(namedValues=NamedValues(("null", -1), ("noMotion", 0), ("motionDetected", 1)))).setMaxAccess("readonly") if mibBuilder.loadTexts: cameraMotionSensorValue.setStatus('current') cameraMotionSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 3, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: cameraMotionSensorErrorStatus.setStatus('current') cameraMotionSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 3, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: cameraMotionSensorLabel.setStatus('current') cameraMotionSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 3, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: cameraMotionSensorEncId.setStatus('current') cameraMotionSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 3, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: cameraMotionSensorPortId.setStatus('current') cameraMotionSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 3, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: cameraMotionSensorValueStr.setStatus('current') cameraMotionSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 3, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: cameraMotionSensorIndex.setStatus('current') otherStateSensorTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 10), ) if mibBuilder.loadTexts: otherStateSensorTable.setStatus('current') otherStateSensorEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 10, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "otherStateSensorIndex")) if mibBuilder.loadTexts: otherStateSensorEntry.setStatus('current') otherStateSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 10, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: otherStateSensorId.setStatus('current') otherStateSensorValue = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 10, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherStateSensorValue.setStatus('current') otherStateSensorErrorStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 10, 1, 3), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherStateSensorErrorStatus.setStatus('current') otherStateSensorLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 10, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherStateSensorLabel.setStatus('current') otherStateSensorEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 10, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: otherStateSensorEncId.setStatus('current') otherStateSensorPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 10, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: otherStateSensorPortId.setStatus('current') otherStateSensorValueStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 10, 1, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherStateSensorValueStr.setStatus('current') otherStateSensorIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 4, 2, 10, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: otherStateSensorIndex.setStatus('current') errorCondTable = MibTable((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1), ) if mibBuilder.loadTexts: errorCondTable.setStatus('current') errorCondEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1), ).setIndexNames((0, "NETBOTZ320-MIB", "errorCondIndex")) if mibBuilder.loadTexts: errorCondEntry.setStatus('current') errorCondId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondId.setStatus('current') errorCondSeverity = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 2), ErrorStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondSeverity.setStatus('current') errorCondTypeId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondTypeId.setStatus('current') errorCondStartTime = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 4), DateAndTime()).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondStartTime.setStatus('current') errorCondStartTimeStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 5), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondStartTimeStr.setStatus('current') errorCondResolved = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 6), BoolValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondResolved.setStatus('current') errorCondResolvedTime = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 7), DateAndTime()).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondResolvedTime.setStatus('current') errorCondResolvedTimeStr = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 8), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondResolvedTimeStr.setStatus('current') errorCondEncId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 9), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondEncId.setStatus('current') errorCondPortId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 10), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondPortId.setStatus('current') errorCondSensorId = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 11), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondSensorId.setStatus('current') errorCondIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5528, 100, 5, 1, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: errorCondIndex.setStatus('current') netBotzTrapErrorID = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapErrorID.setStatus('current') netBotzTrapErrorType = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapErrorType.setStatus('current') netBotzTrapErrorTypeLabel = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 3), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapErrorTypeLabel.setStatus('current') netBotzTrapSensorID = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapSensorID.setStatus('current') netBotzTrapSensorLabel = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 5), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapSensorLabel.setStatus('current') netBotzTrapPodID = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapPodID.setStatus('current') netBotzTrapPodLabel = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 7), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapPodLabel.setStatus('current') netBotzTrapPortID = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 8), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 127))).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapPortID.setStatus('current') netBotzTrapPortLabel = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 9), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapPortLabel.setStatus('current') netBotzTrapStartTime = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapStartTime.setStatus('current') netBotzTrapNotifyTime = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapNotifyTime.setStatus('current') netBotzTrapResolveTime = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 12), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapResolveTime.setStatus('current') netBotzTrapSeverity = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4))).clone(namedValues=NamedValues(("information", 0), ("warning", 1), ("error", 2), ("critical", 3), ("failure", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapSeverity.setStatus('current') netBotzTrapSensorValue = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 14), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapSensorValue.setStatus('current') netBotzTrapSensorValueInt = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 15), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapSensorValueInt.setStatus('current') netBotzTrapSensorValueFraction = MibScalar((1, 3, 6, 1, 4, 1, 5528, 100, 11, 16), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: netBotzTrapSensorValueFraction.setStatus('current') netBotzTempTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempTooHigh.setStatus('current') netBotzTempTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempTooHighRTN.setStatus('current') netBotzTempTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempTooLow.setStatus('current') netBotzTempTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempTooLowRTN.setStatus('current') netBotzTempTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempTooHighTooLong.setStatus('current') netBotzTempTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempTooHighTooLongRTN.setStatus('current') netBotzTempTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempTooLowTooLong.setStatus('current') netBotzTempTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempTooLowForTooLongRTN.setStatus('current') netBotzTempUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempUnplugged.setStatus('current') netBotzTempReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempReplugged.setStatus('current') netBotzTempIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempIncreasingTooQuickly.setStatus('current') netBotzTempNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempNotIncreasingTooQuickly.setStatus('current') netBotzTempDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempDecreasingTooQuickly.setStatus('current') netBotzTempNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempNotDecreasingTooQuickly.setStatus('current') netBotzTempError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempError.setStatus('current') netBotzTempErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 1, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTempErrorRTN.setStatus('current') netBotzHumidityTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityTooHigh.setStatus('current') netBotzHumidityTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityTooHighRTN.setStatus('current') netBotzHumidityTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityTooLow.setStatus('current') netBotzHumidityTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityTooLowRTN.setStatus('current') netBotzHumidityTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityTooHighTooLong.setStatus('current') netBotzHumidityTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityTooHighTooLongRTN.setStatus('current') netBotzHumidityTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityTooLowTooLong.setStatus('current') netBotzHumidityTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityTooLowForTooLongRTN.setStatus('current') netBotzHumidityUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityUnplugged.setStatus('current') netBotzHumidityReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityReplugged.setStatus('current') netBotzHumidityIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityIncreasingTooQuickly.setStatus('current') netBotzHumidityNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityNotIncreasingTooQuickly.setStatus('current') netBotzHumidityDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityDecreasingTooQuickly.setStatus('current') netBotzHumidityNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityNotDecreasingTooQuickly.setStatus('current') netBotzHumidityError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityError.setStatus('current') netBotzHumidityErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 2, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzHumidityErrorRTN.setStatus('current') netBotzDewPointTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointTooHigh.setStatus('current') netBotzDewPointTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointTooHighRTN.setStatus('current') netBotzDewPointTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointTooLow.setStatus('current') netBotzDewPointTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointTooLowRTN.setStatus('current') netBotzDewPointTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointTooHighTooLong.setStatus('current') netBotzDewPointTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointTooHighTooLongRTN.setStatus('current') netBotzDewPointTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointTooLowTooLong.setStatus('current') netBotzDewPointTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointTooLowForTooLongRTN.setStatus('current') netBotzDewPointUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointUnplugged.setStatus('current') netBotzDewPointReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointReplugged.setStatus('current') netBotzDewPointIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointIncreasingTooQuickly.setStatus('current') netBotzDewPointNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointNotIncreasingTooQuickly.setStatus('current') netBotzDewPointDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointDecreasingTooQuickly.setStatus('current') netBotzDewPointNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointNotDecreasingTooQuickly.setStatus('current') netBotzDewPointError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointError.setStatus('current') netBotzDewPointErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 3, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDewPointErrorRTN.setStatus('current') netBotzAirFlowTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowTooHigh.setStatus('current') netBotzAirFlowTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowTooHighRTN.setStatus('current') netBotzAirFlowTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowTooLow.setStatus('current') netBotzAirFlowTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowTooLowRTN.setStatus('current') netBotzAirFlowTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowTooHighTooLong.setStatus('current') netBotzAirFlowTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowTooHighTooLongRTN.setStatus('current') netBotzAirFlowTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowTooLowTooLong.setStatus('current') netBotzAirFlowTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowTooLowForTooLongRTN.setStatus('current') netBotzAirFlowUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowUnplugged.setStatus('current') netBotzAirFlowReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowReplugged.setStatus('current') netBotzAirFlowIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowIncreasingTooQuickly.setStatus('current') netBotzAirFlowNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowNotIncreasingTooQuickly.setStatus('current') netBotzAirFlowDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowDecreasingTooQuickly.setStatus('current') netBotzAirFlowNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowNotDecreasingTooQuickly.setStatus('current') netBotzAirFlowError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowError.setStatus('current') netBotzAirFlowErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 4, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAirFlowErrorRTN.setStatus('current') netBotzAudioTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioTooHigh.setStatus('current') netBotzAudioTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioTooHighRTN.setStatus('current') netBotzAudioTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioTooLow.setStatus('current') netBotzAudioTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioTooLowRTN.setStatus('current') netBotzAudioTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioTooHighTooLong.setStatus('current') netBotzAudioTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioTooHighTooLongRTN.setStatus('current') netBotzAudioTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioTooLowTooLong.setStatus('current') netBotzAudioTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioTooLowForTooLongRTN.setStatus('current') netBotzAudioUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioUnplugged.setStatus('current') netBotzAudioReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioReplugged.setStatus('current') netBotzAudioIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioIncreasingTooQuickly.setStatus('current') netBotzAudioNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioNotIncreasingTooQuickly.setStatus('current') netBotzAudioDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioDecreasingTooQuickly.setStatus('current') netBotzAudioNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioNotDecreasingTooQuickly.setStatus('current') netBotzAudioError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioError.setStatus('current') netBotzAudioErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 5, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAudioErrorRTN.setStatus('current') netBotzAmpDetectTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectTooHigh.setStatus('current') netBotzAmpDetectTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectTooHighRTN.setStatus('current') netBotzAmpDetectTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectTooLow.setStatus('current') netBotzAmpDetectTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectTooLowRTN.setStatus('current') netBotzAmpDetectTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectTooHighTooLong.setStatus('current') netBotzAmpDetectTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectTooHighTooLongRTN.setStatus('current') netBotzAmpDetectTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectTooLowTooLong.setStatus('current') netBotzAmpDetectTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectTooLowForTooLongRTN.setStatus('current') netBotzAmpDetectUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectUnplugged.setStatus('current') netBotzAmpDetectReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectReplugged.setStatus('current') netBotzAmpDetectIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectIncreasingTooQuickly.setStatus('current') netBotzAmpDetectNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectNotIncreasingTooQuickly.setStatus('current') netBotzAmpDetectDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectDecreasingTooQuickly.setStatus('current') netBotzAmpDetectNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectNotDecreasingTooQuickly.setStatus('current') netBotzAmpDetectError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectError.setStatus('current') netBotzAmpDetectErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 6, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzAmpDetectErrorRTN.setStatus('current') netBotzDryContactUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 7, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDryContactUnplugged.setStatus('current') netBotzDryContactReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 7, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDryContactReplugged.setStatus('current') netBotzDryContactError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 7, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDryContactError.setStatus('current') netBotzDryContactErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 7, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDryContactErrorRTN.setStatus('current') netBotzDryContactValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 7, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDryContactValueError.setStatus('current') netBotzDryContactValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 7, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDryContactValueErrorRTN.setStatus('current') netBotzCameraMotionSensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 8, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzCameraMotionSensorUnplugged.setStatus('current') netBotzCameraMotionSensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 8, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzCameraMotionSensorReplugged.setStatus('current') netBotzCameraMotionSensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 8, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzCameraMotionSensorError.setStatus('current') netBotzCameraMotionSensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 8, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzCameraMotionSensorErrorRTN.setStatus('current') netBotzCameraMotionSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 8, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzCameraMotionSensorValueError.setStatus('current') netBotzCameraMotionSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 8, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzCameraMotionSensorValueErrorRTN.setStatus('current') netBotzDoorSensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 9, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDoorSensorUnplugged.setStatus('current') netBotzDoorSensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 9, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDoorSensorReplugged.setStatus('current') netBotzDoorSensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 9, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDoorSensorError.setStatus('current') netBotzDoorSensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 9, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDoorSensorErrorRTN.setStatus('current') netBotzDoorSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 9, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDoorSensorValueError.setStatus('current') netBotzDoorSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 9, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDoorSensorValueErrorRTN.setStatus('current') netBotzMicPlugSensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 10, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMicPlugSensorUnplugged.setStatus('current') netBotzMicPlugSensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 10, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMicPlugSensorReplugged.setStatus('current') netBotzMicPlugSensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 10, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMicPlugSensorError.setStatus('current') netBotzMicPlugSensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 10, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMicPlugSensorErrorRTN.setStatus('current') netBotzMicPlugSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 10, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMicPlugSensorValueError.setStatus('current') netBotzMicPlugSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 10, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMicPlugSensorValueErrorRTN.setStatus('current') netBotzSpeakerPlugSensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 11, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSpeakerPlugSensorUnplugged.setStatus('current') netBotzSpeakerPlugSensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 11, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSpeakerPlugSensorReplugged.setStatus('current') netBotzSpeakerPlugSensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 11, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSpeakerPlugSensorError.setStatus('current') netBotzSpeakerPlugSensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 11, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSpeakerPlugSensorErrorRTN.setStatus('current') netBotzSpeakerPlugSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 11, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSpeakerPlugSensorValueError.setStatus('current') netBotzSpeakerPlugSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 11, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSpeakerPlugSensorValueErrorRTN.setStatus('current') netBotzTVSignalSensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 12, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTVSignalSensorUnplugged.setStatus('current') netBotzTVSignalSensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 12, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTVSignalSensorReplugged.setStatus('current') netBotzTVSignalSensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 12, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTVSignalSensorError.setStatus('current') netBotzTVSignalSensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 12, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTVSignalSensorErrorRTN.setStatus('current') netBotzTVSignalSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 12, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTVSignalSensorValueError.setStatus('current') netBotzTVSignalSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 12, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzTVSignalSensorValueErrorRTN.setStatus('current') netBotzPodUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 0, 7)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPodUnplugged.setStatus('current') netBotzPodReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 0, 107)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPodReplugged.setStatus('current') netBotzSensorPodUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 2, 0, 7)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSensorPodUnplugged.setStatus('current') netBotzSensorPodReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 2, 0, 107)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSensorPodReplugged.setStatus('current') netBotzCameraPodUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 3, 0, 7)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzCameraPodUnplugged.setStatus('current') netBotzCameraPodReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 3, 0, 107)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzCameraPodReplugged.setStatus('current') netBotzCCTVPodUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 4, 0, 7)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzCCTVPodUnplugged.setStatus('current') netBotzCCTVPodReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 4, 0, 107)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzCCTVPodReplugged.setStatus('current') netBotz4to20mAPodUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 5, 0, 7)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotz4to20mAPodUnplugged.setStatus('current') netBotz4to20mAPodReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 5, 0, 107)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotz4to20mAPodReplugged.setStatus('current') netBotzLogonError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 0, 11)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLogonError.setStatus('current') netBotzLogonErrorResolved = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 0, 111)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLogonErrorResolved.setStatus('current') netBotzDriveNotFoundError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 0, 12)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDriveNotFoundError.setStatus('current') netBotzDriveNotFoundErrorResolved = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 0, 112)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzDriveNotFoundErrorResolved.setStatus('current') netBotzRmtLinkError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 0, 13)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzRmtLinkError.setStatus('current') netBotzRmtLinkErrorResolved = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 3, 0, 113)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzRmtLinkErrorResolved.setStatus('current') netBotzGPSPositionTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionTooHigh.setStatus('current') netBotzGPSPositionTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionTooHighRTN.setStatus('current') netBotzGPSPositionTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionTooLow.setStatus('current') netBotzGPSPositionTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionTooLowRTN.setStatus('current') netBotzGPSPositionTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionTooHighTooLong.setStatus('current') netBotzGPSPositionTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionTooHighTooLongRTN.setStatus('current') netBotzGPSPositionTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionTooLowTooLong.setStatus('current') netBotzGPSPositionTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionTooLowForTooLongRTN.setStatus('current') netBotzGPSPositionUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionUnplugged.setStatus('current') netBotzGPSPositionReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionReplugged.setStatus('current') netBotzGPSPositionIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionIncreasingTooQuickly.setStatus('current') netBotzGPSPositionNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionNotIncreasingTooQuickly.setStatus('current') netBotzGPSPositionDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionDecreasingTooQuickly.setStatus('current') netBotzGPSPositionNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionNotDecreasingTooQuickly.setStatus('current') netBotzGPSPositionError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionError.setStatus('current') netBotzGPSPositionErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 13, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSPositionErrorRTN.setStatus('current') netBotzGPSMovementTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementTooHigh.setStatus('current') netBotzGPSMovementTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementTooHighRTN.setStatus('current') netBotzGPSMovementTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementTooLow.setStatus('current') netBotzGPSMovementTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementTooLowRTN.setStatus('current') netBotzGPSMovementTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementTooHighTooLong.setStatus('current') netBotzGPSMovementTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementTooHighTooLongRTN.setStatus('current') netBotzGPSMovementTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementTooLowTooLong.setStatus('current') netBotzGPSMovementTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementTooLowForTooLongRTN.setStatus('current') netBotzGPSMovementUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementUnplugged.setStatus('current') netBotzGPSMovementReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementReplugged.setStatus('current') netBotzGPSMovementIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementIncreasingTooQuickly.setStatus('current') netBotzGPSMovementNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementNotIncreasingTooQuickly.setStatus('current') netBotzGPSMovementDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementDecreasingTooQuickly.setStatus('current') netBotzGPSMovementNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementNotDecreasingTooQuickly.setStatus('current') netBotzGPSMovementError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementError.setStatus('current') netBotzGPSMovementErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 14, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSMovementErrorRTN.setStatus('current') netBotzPacketDropTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropTooHigh.setStatus('current') netBotzPacketDropTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropTooHighRTN.setStatus('current') netBotzPacketDropTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropTooLow.setStatus('current') netBotzPacketDropTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropTooLowRTN.setStatus('current') netBotzPacketDropTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropTooHighTooLong.setStatus('current') netBotzPacketDropTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropTooHighTooLongRTN.setStatus('current') netBotzPacketDropTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropTooLowTooLong.setStatus('current') netBotzPacketDropTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropTooLowForTooLongRTN.setStatus('current') netBotzPacketDropUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropUnplugged.setStatus('current') netBotzPacketDropReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropReplugged.setStatus('current') netBotzPacketDropIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropIncreasingTooQuickly.setStatus('current') netBotzPacketDropNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropNotIncreasingTooQuickly.setStatus('current') netBotzPacketDropDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropDecreasingTooQuickly.setStatus('current') netBotzPacketDropNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropNotDecreasingTooQuickly.setStatus('current') netBotzPacketDropError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropError.setStatus('current') netBotzPacketDropErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 23, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPacketDropErrorRTN.setStatus('current') netBotzSNMPCrawlerTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerTooHigh.setStatus('current') netBotzSNMPCrawlerTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerTooHighRTN.setStatus('current') netBotzSNMPCrawlerTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerTooLow.setStatus('current') netBotzSNMPCrawlerTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerTooLowRTN.setStatus('current') netBotzSNMPCrawlerTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerTooHighTooLong.setStatus('current') netBotzSNMPCrawlerTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerTooHighTooLongRTN.setStatus('current') netBotzSNMPCrawlerTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerTooLowTooLong.setStatus('current') netBotzSNMPCrawlerTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerTooLowForTooLongRTN.setStatus('current') netBotzSNMPCrawlerUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerUnplugged.setStatus('current') netBotzSNMPCrawlerReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerReplugged.setStatus('current') netBotzSNMPCrawlerIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerIncreasingTooQuickly.setStatus('current') netBotzSNMPCrawlerNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerNotIncreasingTooQuickly.setStatus('current') netBotzSNMPCrawlerDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerDecreasingTooQuickly.setStatus('current') netBotzSNMPCrawlerNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerNotDecreasingTooQuickly.setStatus('current') netBotzSNMPCrawlerError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerError.setStatus('current') netBotzSNMPCrawlerErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerErrorRTN.setStatus('current') netBotzSNMPCrawlerSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerSensorValueError.setStatus('current') netBotzSNMPCrawlerSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 24, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzSNMPCrawlerSensorValueErrorRTN.setStatus('current') netBotzGPSStatusSensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 15, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSStatusSensorUnplugged.setStatus('current') netBotzGPSStatusSensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 15, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSStatusSensorReplugged.setStatus('current') netBotzGPSStatusSensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 15, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSStatusSensorError.setStatus('current') netBotzGPSStatusSensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 15, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSStatusSensorErrorRTN.setStatus('current') netBotzGPSStatusSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 15, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSStatusSensorValueError.setStatus('current') netBotzGPSStatusSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 15, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzGPSStatusSensorValueErrorRTN.setStatus('current') netBotzWirelessStatusSensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 22, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzWirelessStatusSensorUnplugged.setStatus('current') netBotzWirelessStatusSensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 22, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzWirelessStatusSensorReplugged.setStatus('current') netBotzWirelessStatusSensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 22, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzWirelessStatusSensorError.setStatus('current') netBotzWirelessStatusSensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 22, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzWirelessStatusSensorErrorRTN.setStatus('current') netBotzWirelessStatusSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 22, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzWirelessStatusSensorValueError.setStatus('current') netBotzWirelessStatusSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 22, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzWirelessStatusSensorValueErrorRTN.setStatus('current') netBotzPlugModuleStatusSensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 25, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPlugModuleStatusSensorUnplugged.setStatus('current') netBotzPlugModuleStatusSensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 25, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPlugModuleStatusSensorReplugged.setStatus('current') netBotzPlugModuleStatusSensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 25, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPlugModuleStatusSensorError.setStatus('current') netBotzPlugModuleStatusSensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 25, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPlugModuleStatusSensorErrorRTN.setStatus('current') netBotzPlugModuleStatusSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 25, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPlugModuleStatusSensorValueError.setStatus('current') netBotzPlugModuleStatusSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 25, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzPlugModuleStatusSensorValueErrorRTN.setStatus('current') netBotzOutputControlSensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 26, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzOutputControlSensorUnplugged.setStatus('current') netBotzOutputControlSensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 26, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzOutputControlSensorReplugged.setStatus('current') netBotzOutputControlSensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 26, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzOutputControlSensorError.setStatus('current') netBotzOutputControlSensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 26, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzOutputControlSensorErrorRTN.setStatus('current') netBotzOutputControlSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 26, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzOutputControlSensorValueError.setStatus('current') netBotzOutputControlSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 26, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzOutputControlSensorValueErrorRTN.setStatus('current') netBotzMultiRAESensorTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorTooHigh.setStatus('current') netBotzMultiRAESensorTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorTooHighRTN.setStatus('current') netBotzMultiRAESensorTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorTooLow.setStatus('current') netBotzMultiRAESensorTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorTooLowRTN.setStatus('current') netBotzMultiRAESensorTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorTooHighTooLong.setStatus('current') netBotzMultiRAESensorTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorTooHighTooLongRTN.setStatus('current') netBotzMultiRAESensorTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorTooLowTooLong.setStatus('current') netBotzMultiRAESensorTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorTooLowForTooLongRTN.setStatus('current') netBotzMultiRAESensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorUnplugged.setStatus('current') netBotzMultiRAESensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorReplugged.setStatus('current') netBotzMultiRAESensorIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorIncreasingTooQuickly.setStatus('current') netBotzMultiRAESensorNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorNotIncreasingTooQuickly.setStatus('current') netBotzMultiRAESensorDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorDecreasingTooQuickly.setStatus('current') netBotzMultiRAESensorNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorNotDecreasingTooQuickly.setStatus('current') netBotzMultiRAESensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorError.setStatus('current') netBotzMultiRAESensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorErrorRTN.setStatus('current') netBotzMultiRAESensorSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorSensorValueError.setStatus('current') netBotzMultiRAESensorSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 27, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorSensorValueErrorRTN.setStatus('current') netBotzMultiRAESensorStatusUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 28, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorStatusUnplugged.setStatus('current') netBotzMultiRAESensorStatusReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 28, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorStatusReplugged.setStatus('current') netBotzMultiRAESensorStatusError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 28, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorStatusError.setStatus('current') netBotzMultiRAESensorStatusErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 28, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorStatusErrorRTN.setStatus('current') netBotzMultiRAESensorStatusValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 28, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorStatusValueError.setStatus('current') netBotzMultiRAESensorStatusValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 28, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAESensorStatusValueErrorRTN.setStatus('current') netBotzMultiRAEDeviceStatusUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 29, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAEDeviceStatusUnplugged.setStatus('current') netBotzMultiRAEDeviceStatusReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 29, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAEDeviceStatusReplugged.setStatus('current') netBotzMultiRAEDeviceStatusError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 29, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAEDeviceStatusError.setStatus('current') netBotzMultiRAEDeviceStatusErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 29, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAEDeviceStatusErrorRTN.setStatus('current') netBotzMultiRAEDeviceStatusValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 29, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAEDeviceStatusValueError.setStatus('current') netBotzMultiRAEDeviceStatusValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 29, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzMultiRAEDeviceStatusValueErrorRTN.setStatus('current') netBotzLinkStatusSensorUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 30, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLinkStatusSensorUnplugged.setStatus('current') netBotzLinkStatusSensorReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 30, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLinkStatusSensorReplugged.setStatus('current') netBotzLinkStatusSensorError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 30, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLinkStatusSensorError.setStatus('current') netBotzLinkStatusSensorErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 30, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLinkStatusSensorErrorRTN.setStatus('current') netBotzLinkStatusSensorValueError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 30, 0, 10)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLinkStatusSensorValueError.setStatus('current') netBotzLinkStatusSensorValueErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 30, 0, 110)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLinkStatusSensorValueErrorRTN.setStatus('current') netBotzLoopVoltageTooHigh = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 2)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageTooHigh.setStatus('current') netBotzLoopVoltageTooHighRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 102)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageTooHighRTN.setStatus('current') netBotzLoopVoltageTooLow = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 3)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageTooLow.setStatus('current') netBotzLoopVoltageTooLowRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 103)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageTooLowRTN.setStatus('current') netBotzLoopVoltageTooHighTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 4)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageTooHighTooLong.setStatus('current') netBotzLoopVoltageTooHighTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 104)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageTooHighTooLongRTN.setStatus('current') netBotzLoopVoltageTooLowTooLong = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 5)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageTooLowTooLong.setStatus('current') netBotzLoopVoltageTooLowForTooLongRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 105)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageTooLowForTooLongRTN.setStatus('current') netBotzLoopVoltageUnplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 6)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageUnplugged.setStatus('current') netBotzLoopVoltageReplugged = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 106)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageReplugged.setStatus('current') netBotzLoopVoltageIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 8)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageIncreasingTooQuickly.setStatus('current') netBotzLoopVoltageNotIncreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 108)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageNotIncreasingTooQuickly.setStatus('current') netBotzLoopVoltageDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 9)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageDecreasingTooQuickly.setStatus('current') netBotzLoopVoltageNotDecreasingTooQuickly = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 109)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageNotDecreasingTooQuickly.setStatus('current') netBotzLoopVoltageError = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 1)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageError.setStatus('current') netBotzLoopVoltageErrorRTN = NotificationType((1, 3, 6, 1, 4, 1, 5528, 100, 10, 2, 31, 0, 101)).setObjects(("NETBOTZ320-MIB", "netBotzTrapErrorID"), ("NETBOTZ320-MIB", "netBotzTrapErrorType"), ("NETBOTZ320-MIB", "netBotzTrapErrorTypeLabel"), ("NETBOTZ320-MIB", "netBotzTrapSensorID"), ("NETBOTZ320-MIB", "netBotzTrapSensorLabel"), ("NETBOTZ320-MIB", "netBotzTrapPodID"), ("NETBOTZ320-MIB", "netBotzTrapPodLabel"), ("NETBOTZ320-MIB", "netBotzTrapPortID"), ("NETBOTZ320-MIB", "netBotzTrapPortLabel"), ("NETBOTZ320-MIB", "netBotzTrapStartTime"), ("NETBOTZ320-MIB", "netBotzTrapNotifyTime"), ("NETBOTZ320-MIB", "netBotzTrapResolveTime"), ("NETBOTZ320-MIB", "netBotzTrapSeverity"), ("NETBOTZ320-MIB", "netBotzTrapSensorValue"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueInt"), ("NETBOTZ320-MIB", "netBotzTrapSensorValueFraction")) if mibBuilder.loadTexts: netBotzLoopVoltageErrorRTN.setStatus('current') mibBuilder.exportSymbols("NETBOTZ320-MIB", doorSwitchSensorValue=doorSwitchSensorValue, netBotzPacketDropSensorTraps=netBotzPacketDropSensorTraps, netBotzTrapSeverity=netBotzTrapSeverity, airFlowSensorIndex=airFlowSensorIndex, netBotzGPSMovementNotDecreasingTooQuickly=netBotzGPSMovementNotDecreasingTooQuickly, humiSensorErrorStatus=humiSensorErrorStatus, netBotzGPSPositionTooHigh=netBotzGPSPositionTooHigh, netBotzGPSPositionDecreasingTooQuickly=netBotzGPSPositionDecreasingTooQuickly, netBotzLinkStatusSensorValueError=netBotzLinkStatusSensorValueError, netBotzAmpDetectTooHighRTN=netBotzAmpDetectTooHighRTN, ampDetectSensorValueInt=ampDetectSensorValueInt, netBotzAudioError=netBotzAudioError, netBotzGPSPositionTooHighRTN=netBotzGPSPositionTooHighRTN, netBotzMultiRAEDeviceStatusReplugged=netBotzMultiRAEDeviceStatusReplugged, otherStateSensorIndex=otherStateSensorIndex, netBotzTVSignalSensorValueError=netBotzTVSignalSensorValueError, netBotzSNMPCrawlerSensorValueError=netBotzSNMPCrawlerSensorValueError, dryContactSensorTable=dryContactSensorTable, otherStateSensorId=otherStateSensorId, netBotzAmpDetectTooLow=netBotzAmpDetectTooLow, netBotzLoopVoltageIncreasingTooQuickly=netBotzLoopVoltageIncreasingTooQuickly, netBotzAudioTooHighRTN=netBotzAudioTooHighRTN, netBotzDryContactValueError=netBotzDryContactValueError, netBotz550Rack=netBotz550Rack, tempSensorPortId=tempSensorPortId, netBotzGPSPositionTooLowForTooLongRTN=netBotzGPSPositionTooLowForTooLongRTN, netBotzCCTVPodTraps=netBotzCCTVPodTraps, enclosureLabel=enclosureLabel, tempSensorEncId=tempSensorEncId, dewPointSensorValueInt=dewPointSensorValueInt, netBotzCCTVPodReplugged=netBotzCCTVPodReplugged, netBotzLoopVoltageUnplugged=netBotzLoopVoltageUnplugged, netBotzSNMPCrawlerIncreasingTooQuickly=netBotzSNMPCrawlerIncreasingTooQuickly, airFlowSensorValueStr=airFlowSensorValueStr, netBotzDoorSensorValueErrorRTN=netBotzDoorSensorValueErrorRTN, netBotzLoopVoltageTooHighTooLong=netBotzLoopVoltageTooHighTooLong, netBotzTempTooLowRTN=netBotzTempTooLowRTN, netBotzCameraPodUnplugged=netBotzCameraPodUnplugged, netBotz320Rack=netBotz320Rack, netBotzBotz=netBotzBotz, netBotzGPSMovementError=netBotzGPSMovementError, netBotzSpeakerPlugSensorUnplugged=netBotzSpeakerPlugSensorUnplugged, netBotzMicPlugSensorErrorRTN=netBotzMicPlugSensorErrorRTN, netBotzOutputControlSensorErrorRTN=netBotzOutputControlSensorErrorRTN, dryContactSensorEntry=dryContactSensorEntry, netBotzGPSPositionIncreasingTooQuickly=netBotzGPSPositionIncreasingTooQuickly, humiSensorValue=humiSensorValue, netBotzPacketDropReplugged=netBotzPacketDropReplugged, netBotzGPSMovementTooLowRTN=netBotzGPSMovementTooLowRTN, netBotzPacketDropTooHighTooLong=netBotzPacketDropTooHighTooLong, doorSwitchSensorLabel=doorSwitchSensorLabel, netBotzDewPointSensorTraps=netBotzDewPointSensorTraps, dinPortSupportsDryContact=dinPortSupportsDryContact, enclosureEntry=enclosureEntry, netBotzTempTooHighTooLong=netBotzTempTooHighTooLong, doorSwitchSensorId=doorSwitchSensorId, netBotz320EWall=netBotz320EWall, tempSensorValueInt=tempSensorValueInt, netBotzTempTooLowTooLong=netBotzTempTooLowTooLong, netBotzMicPlugSensorError=netBotzMicPlugSensorError, netBotz450Rack=netBotz450Rack, netBotzGPSStatusSensorReplugged=netBotzGPSStatusSensorReplugged, humiSensorPortId=humiSensorPortId, netBotzTempTooLow=netBotzTempTooLow, netBotzGPSPositionSensorTraps=netBotzGPSPositionSensorTraps, netBotzPacketDropUnplugged=netBotzPacketDropUnplugged, cameraMotionSensorErrorStatus=cameraMotionSensorErrorStatus, netBotzMicPlugSensorReplugged=netBotzMicPlugSensorReplugged, dinPortEncId=dinPortEncId, netBotzPodTraps=netBotzPodTraps, humiSensorValueInt=humiSensorValueInt, dryContactSensorValue=dryContactSensorValue, netBotzMicPlugSensorValueError=netBotzMicPlugSensorValueError, netBotzMultiRAESensorTooLowForTooLongRTN=netBotzMultiRAESensorTooLowForTooLongRTN, netBotz4to20mAPodReplugged=netBotz4to20mAPodReplugged, netBotzPacketDropTooLowForTooLongRTN=netBotzPacketDropTooLowForTooLongRTN, netBotzHumidityNotIncreasingTooQuickly=netBotzHumidityNotIncreasingTooQuickly, netBotzSNMPCrawlerNotDecreasingTooQuickly=netBotzSNMPCrawlerNotDecreasingTooQuickly, errorCondStartTimeStr=errorCondStartTimeStr, netBotzAirFlowTooLowForTooLongRTN=netBotzAirFlowTooLowForTooLongRTN, airFlowSensorValue=airFlowSensorValue, dinPortLabel=dinPortLabel, raeSystemsAreaConnect500=raeSystemsAreaConnect500, cameraMotionSensorEncId=cameraMotionSensorEncId, netBotzAirFlowSensorTraps=netBotzAirFlowSensorTraps, netBotzGPSMovementTooHighTooLongRTN=netBotzGPSMovementTooHighTooLongRTN, netBotzMultiRAESensorUnplugged=netBotzMultiRAESensorUnplugged, netBotzMultiRAESensorNotIncreasingTooQuickly=netBotzMultiRAESensorNotIncreasingTooQuickly, netBotzDoorSensorUnplugged=netBotzDoorSensorUnplugged, cameraMotionSensorTable=cameraMotionSensorTable, errorCondSeverity=errorCondSeverity, netBotzOutputControlSensorUnplugged=netBotzOutputControlSensorUnplugged, doorSwitchSensorEncId=doorSwitchSensorEncId, netBotzOutputControlSensorValueErrorRTN=netBotzOutputControlSensorValueErrorRTN, netBotzAudioReplugged=netBotzAudioReplugged, cameraMotionSensorPortId=cameraMotionSensorPortId, netBotz420Wall=netBotz420Wall, netBotzDewPointTooHighRTN=netBotzDewPointTooHighRTN, otherNumericSensorLabel=otherNumericSensorLabel, cameraMotionSensorEntry=cameraMotionSensorEntry, netBotzHumidityTooLowTooLong=netBotzHumidityTooLowTooLong, netBotzErrors=netBotzErrors, netBotzGPSPositionUnplugged=netBotzGPSPositionUnplugged, netBotzSNMPCrawlerError=netBotzSNMPCrawlerError, netBotzMultiRAESensorTooHighRTN=netBotzMultiRAESensorTooHighRTN, netBotzPacketDropError=netBotzPacketDropError, audioSensorValueInt=audioSensorValueInt, netBotzNumericSensors=netBotzNumericSensors, netBotzSNMPCrawlerDecreasingTooQuickly=netBotzSNMPCrawlerDecreasingTooQuickly, netBotzTempErrorRTN=netBotzTempErrorRTN, netBotzGPSStatusSensorValueError=netBotzGPSStatusSensorValueError, otherStateSensorLabel=otherStateSensorLabel, netBotzTempSensorTraps=netBotzTempSensorTraps, otherNumericSensorEntry=otherNumericSensorEntry, doorSwitchSensorPortId=doorSwitchSensorPortId, ampDetectSensorId=ampDetectSensorId, audioSensorTable=audioSensorTable, cameraMotionSensorValue=cameraMotionSensorValue, netBotzSNMPCrawlerTooLowRTN=netBotzSNMPCrawlerTooLowRTN, netBotzHumidityTooLow=netBotzHumidityTooLow, netBotzPodReplugged=netBotzPodReplugged, otherPortEntry=otherPortEntry, netBotzMultiRAEDeviceStatusTraps=netBotzMultiRAEDeviceStatusTraps, audioSensorId=audioSensorId, netBotzWirelessStatusSensorValueErrorRTN=netBotzWirelessStatusSensorValueErrorRTN, netBotzMicPlugSensorUnplugged=netBotzMicPlugSensorUnplugged, netBotzDoorSensorValueError=netBotzDoorSensorValueError, netBotzDryContactReplugged=netBotzDryContactReplugged, netBotzRmtLinkError=netBotzRmtLinkError, netBotzGPSStatusSensorValueErrorRTN=netBotzGPSStatusSensorValueErrorRTN, netBotzDryContactUnplugged=netBotzDryContactUnplugged, errorCondResolvedTimeStr=errorCondResolvedTimeStr, netBotzGPSPositionError=netBotzGPSPositionError, netBotzGPSMovementTooLow=netBotzGPSMovementTooLow, humiSensorEntry=humiSensorEntry, netBotzSNMPCrawlerSensorTraps=netBotzSNMPCrawlerSensorTraps, netBotzMultiRAESensorErrorRTN=netBotzMultiRAESensorErrorRTN, netBotzLoopVoltageTooLowForTooLongRTN=netBotzLoopVoltageTooLowForTooLongRTN, humiSensorLabel=humiSensorLabel, netBotzPlugModuleStatusSensorReplugged=netBotzPlugModuleStatusSensorReplugged, netBotzAudioTooHighTooLong=netBotzAudioTooHighTooLong, netBotzHumidityErrorRTN=netBotzHumidityErrorRTN, netBotzSNMPCrawlerTooHighRTN=netBotzSNMPCrawlerTooHighRTN, dinPortSupportsAverage=dinPortSupportsAverage, dewPointSensorPortId=dewPointSensorPortId, netBotzCameraMotionSensorReplugged=netBotzCameraMotionSensorReplugged, netBotzPacketDropNotDecreasingTooQuickly=netBotzPacketDropNotDecreasingTooQuickly, netBotzWirelessStatusSensorTraps=netBotzWirelessStatusSensorTraps, netBotzMultiRAESensorTooHigh=netBotzMultiRAESensorTooHigh, netBotzAudioDecreasingTooQuickly=netBotzAudioDecreasingTooQuickly, netBotzAmpDetectTooLowRTN=netBotzAmpDetectTooLowRTN, netBotzLinkStatusSensorReplugged=netBotzLinkStatusSensorReplugged, netBotzTempReplugged=netBotzTempReplugged, netBotzDewPointTooLowTooLong=netBotzDewPointTooLowTooLong, netBotzHumidityTooHighTooLongRTN=netBotzHumidityTooHighTooLongRTN, netBotzGPSMovementUnplugged=netBotzGPSMovementUnplugged, otherNumericSensorEncId=otherNumericSensorEncId, netBotzAirFlowIncreasingTooQuickly=netBotzAirFlowIncreasingTooQuickly, dewPointSensorLabel=dewPointSensorLabel, tempSensorValueIntF=tempSensorValueIntF, netBotzGPSStatusSensorError=netBotzGPSStatusSensorError, netBotzCameraMotionSensorValueErrorRTN=netBotzCameraMotionSensorValueErrorRTN, otherNumericSensorValueStr=otherNumericSensorValueStr, netBotzSensorTraps=netBotzSensorTraps, OperStatus=OperStatus, otherStateSensorEntry=otherStateSensorEntry, netBotzHumidityIncreasingTooQuickly=netBotzHumidityIncreasingTooQuickly, otherNumericSensorValue=otherNumericSensorValue, tempSensorEntry=tempSensorEntry, airFlowSensorValueInt=airFlowSensorValueInt, netBotzHumidityUnplugged=netBotzHumidityUnplugged, dewPointSensorEncId=dewPointSensorEncId, netBotzTrapSensorID=netBotzTrapSensorID, netBotzPacketDropTooLowTooLong=netBotzPacketDropTooLowTooLong, otherStateSensorEncId=otherStateSensorEncId, netBotzMultiRAESensorStatusValueError=netBotzMultiRAESensorStatusValueError, netBotzDewPointIncreasingTooQuickly=netBotzDewPointIncreasingTooQuickly, netBotzSensorPodUnplugged=netBotzSensorPodUnplugged, netBotzDryContactValueErrorRTN=netBotzDryContactValueErrorRTN, netBotzLogonError=netBotzLogonError, netBotzMultiRAESensorNotDecreasingTooQuickly=netBotzMultiRAESensorNotDecreasingTooQuickly, netBotzMultiRAESensorStatusErrorRTN=netBotzMultiRAESensorStatusErrorRTN, dewPointSensorId=dewPointSensorId, cameraMotionSensorLabel=cameraMotionSensorLabel, netBotzPacketDropTooHigh=netBotzPacketDropTooHigh, netBotzMultiRAESensorStatusTraps=netBotzMultiRAESensorStatusTraps, otherPortStatus=otherPortStatus, airFlowSensorPortId=airFlowSensorPortId, dewPointSensorValueStr=dewPointSensorValueStr, dryContactSensorId=dryContactSensorId, netBotzGPSMovementDecreasingTooQuickly=netBotzGPSMovementDecreasingTooQuickly, netBotzDewPointTooLowForTooLongRTN=netBotzDewPointTooLowForTooLongRTN, errorCondEncId=errorCondEncId, dinPortStatus=dinPortStatus, netBotzWirelessStatusSensorReplugged=netBotzWirelessStatusSensorReplugged, dinPortIndex=dinPortIndex, netBotzMultiRAEDeviceStatusValueErrorRTN=netBotzMultiRAEDeviceStatusValueErrorRTN, ampDetectSensorValueStr=ampDetectSensorValueStr, netBotzWirelessStatusSensorError=netBotzWirelessStatusSensorError, netBotzTempTooLowForTooLongRTN=netBotzTempTooLowForTooLongRTN, netBotzGPSMovementTooLowTooLong=netBotzGPSMovementTooLowTooLong, doorSwitchSensorTable=doorSwitchSensorTable, netBotzSpeakerPlugSensorValueError=netBotzSpeakerPlugSensorValueError, dinPortEntry=dinPortEntry, netBotzAudioNotIncreasingTooQuickly=netBotzAudioNotIncreasingTooQuickly, enclosureId=enclosureId, netBotzHumidityDecreasingTooQuickly=netBotzHumidityDecreasingTooQuickly, netBotzTVSignalSensorUnplugged=netBotzTVSignalSensorUnplugged, enclosureParentEncId=enclosureParentEncId, doorSwitchSensorValueStr=doorSwitchSensorValueStr, ampDetectSensorTable=ampDetectSensorTable, netBotzAmpDetectNotIncreasingTooQuickly=netBotzAmpDetectNotIncreasingTooQuickly, netBotzTempDecreasingTooQuickly=netBotzTempDecreasingTooQuickly, netBotzTrapPodID=netBotzTrapPodID, netBotzDoorSensorReplugged=netBotzDoorSensorReplugged, netBotzPlugModuleStatusSensorErrorRTN=netBotzPlugModuleStatusSensorErrorRTN, netBotzTVSignalSensorError=netBotzTVSignalSensorError, otherNumericSensorTable=otherNumericSensorTable, netBotz4to20mAPodUnplugged=netBotz4to20mAPodUnplugged, tempSensorLabel=tempSensorLabel, netBotzAmpDetectUnplugged=netBotzAmpDetectUnplugged, tempSensorIndex=tempSensorIndex, netBotzGPSPositionReplugged=netBotzGPSPositionReplugged, netBotzGPSStatusSensorUnplugged=netBotzGPSStatusSensorUnplugged, netBotz=netBotz, netBotzPorts=netBotzPorts, netBotzTempUnplugged=netBotzTempUnplugged, audioSensorValue=audioSensorValue, netBotzPlugModuleStatusSensorValueError=netBotzPlugModuleStatusSensorValueError, netBotzDewPointNotIncreasingTooQuickly=netBotzDewPointNotIncreasingTooQuickly, netBotz355Wall=netBotz355Wall, dryContactSensorValueStr=dryContactSensorValueStr, netBotzPodUnplugged=netBotzPodUnplugged, netBotzDewPointReplugged=netBotzDewPointReplugged, netBotzSpeakerPlugSensorReplugged=netBotzSpeakerPlugSensorReplugged, netBotzAirFlowTooLow=netBotzAirFlowTooLow, otherStateSensorValue=otherStateSensorValue, netBotzWirelessStatusSensorValueError=netBotzWirelessStatusSensorValueError, netBotzSNMPCrawlerTooHigh=netBotzSNMPCrawlerTooHigh, dryContactSensorLabel=dryContactSensorLabel, netBotzSensorPodReplugged=netBotzSensorPodReplugged, netBotzLinkStatusSensorTraps=netBotzLinkStatusSensorTraps, netBotzMultiRAESensorTooLow=netBotzMultiRAESensorTooLow, audioSensorEncId=audioSensorEncId, netBotzMicPlugSensorValueErrorRTN=netBotzMicPlugSensorValueErrorRTN, netBotzHumidityReplugged=netBotzHumidityReplugged, netBotzDewPointError=netBotzDewPointError, otherStateSensorPortId=otherStateSensorPortId, dewPointSensorValueIntF=dewPointSensorValueIntF, netBotz320ERack=netBotz320ERack, netBotzPacketDropTooLowRTN=netBotzPacketDropTooLowRTN, errorCondTypeId=errorCondTypeId, netBotzDryContactSensorTraps=netBotzDryContactSensorTraps, netBotzAudioTooLowForTooLongRTN=netBotzAudioTooLowForTooLongRTN) mibBuilder.exportSymbols("NETBOTZ320-MIB", netBotzDoorSensorError=netBotzDoorSensorError, netBotzPlugModuleStatusSensorError=netBotzPlugModuleStatusSensorError, netBotzAirFlowTooHighTooLong=netBotzAirFlowTooHighTooLong, netBotzOutputControlSensorError=netBotzOutputControlSensorError, errorCondId=errorCondId, netBotzLoopVoltageTooHigh=netBotzLoopVoltageTooHigh, ampDetectSensorErrorStatus=ampDetectSensorErrorStatus, netBotzGPSMovementNotIncreasingTooQuickly=netBotzGPSMovementNotIncreasingTooQuickly, netBotzDewPointTooHighTooLongRTN=netBotzDewPointTooHighTooLongRTN, netBotzAirFlowError=netBotzAirFlowError, netBotzPacketDropDecreasingTooQuickly=netBotzPacketDropDecreasingTooQuickly, netBotzGPSPositionTooLow=netBotzGPSPositionTooLow, otherNumericSensorValueIntX1000000=otherNumericSensorValueIntX1000000, doorSwitchSensorEntry=doorSwitchSensorEntry, netBotzAudioTooHighTooLongRTN=netBotzAudioTooHighTooLongRTN, ampDetectSensorEncId=ampDetectSensorEncId, netBotzTrapSensorValueFraction=netBotzTrapSensorValueFraction, netBotzGPSPositionTooHighTooLongRTN=netBotzGPSPositionTooHighTooLongRTN, audioSensorLabel=audioSensorLabel, netBotzTrapResolveTime=netBotzTrapResolveTime, netBotzMultiRAEDeviceStatusUnplugged=netBotzMultiRAEDeviceStatusUnplugged, netBotzLoopVoltageTooHighRTN=netBotzLoopVoltageTooHighRTN, netBotzPlugModuleStatusSensorUnplugged=netBotzPlugModuleStatusSensorUnplugged, netBotzLoopVoltageTooLowRTN=netBotzLoopVoltageTooLowRTN, netBotzGPSMovementIncreasingTooQuickly=netBotzGPSMovementIncreasingTooQuickly, netBotzLoopVoltageNotDecreasingTooQuickly=netBotzLoopVoltageNotDecreasingTooQuickly, netBotzMultiRAEDeviceStatusValueError=netBotzMultiRAEDeviceStatusValueError, airFlowSensorErrorStatus=airFlowSensorErrorStatus, netBotzAudioTooHigh=netBotzAudioTooHigh, netBotzHumidityTooLowForTooLongRTN=netBotzHumidityTooLowForTooLongRTN, netBotzLoopVoltageReplugged=netBotzLoopVoltageReplugged, netBotzPacketDropNotIncreasingTooQuickly=netBotzPacketDropNotIncreasingTooQuickly, netBotzMultiRAESensorReplugged=netBotzMultiRAESensorReplugged, netBotzTrapStartTime=netBotzTrapStartTime, netBotzPacketDropTooHighTooLongRTN=netBotzPacketDropTooHighTooLongRTN, netBotz455Wall=netBotz455Wall, netBotzTraps=netBotzTraps, netBotzAmpDetectTooHigh=netBotzAmpDetectTooHigh, tempSensorErrorStatus=tempSensorErrorStatus, errorCondStartTime=errorCondStartTime, cameraMotionSensorIndex=cameraMotionSensorIndex, netBotzGPSMovementTooHighRTN=netBotzGPSMovementTooHighRTN, netBotzLoopVoltageError=netBotzLoopVoltageError, enclosureErrorStatus=enclosureErrorStatus, ampDetectSensorPortId=ampDetectSensorPortId, netBotzAirFlowErrorRTN=netBotzAirFlowErrorRTN, audioSensorPortId=audioSensorPortId, otherPortEncId=otherPortEncId, otherNumericSensorId=otherNumericSensorId, netBotzSNMPCrawlerReplugged=netBotzSNMPCrawlerReplugged, netBotzAudioNotDecreasingTooQuickly=netBotzAudioNotDecreasingTooQuickly, netBotzPlugModuleStatusSensorTraps=netBotzPlugModuleStatusSensorTraps, netBotzMultiRAESensorDecreasingTooQuickly=netBotzMultiRAESensorDecreasingTooQuickly, netBotzCameraMotionSensorError=netBotzCameraMotionSensorError, netBotzCameraPodReplugged=netBotzCameraPodReplugged, netBotzAmpDetectErrorRTN=netBotzAmpDetectErrorRTN, netBotzMultiRAESensorTooHighTooLongRTN=netBotzMultiRAESensorTooHighTooLongRTN, netBotzAirFlowTooHigh=netBotzAirFlowTooHigh, netBotz220Camera=netBotz220Camera, netBotzTVSignalSensorErrorRTN=netBotzTVSignalSensorErrorRTN, netBotzTrapPortLabel=netBotzTrapPortLabel, netBotzSNMPCrawlerSensorValueErrorRTN=netBotzSNMPCrawlerSensorValueErrorRTN, enclosureIndex=enclosureIndex, netBotzSpeakerPlugSensorTraps=netBotzSpeakerPlugSensorTraps, netBotzCameraPodTraps=netBotzCameraPodTraps, netBotzHumidityNotDecreasingTooQuickly=netBotzHumidityNotDecreasingTooQuickly, netBotzPacketDropTooLow=netBotzPacketDropTooLow, netBotzHumidityError=netBotzHumidityError, apprion500=apprion500, otherStateSensorTable=otherStateSensorTable, netBotzMultiRAESensorStatusUnplugged=netBotzMultiRAESensorStatusUnplugged, netBotzGPSMovementSensorTraps=netBotzGPSMovementSensorTraps, netBotzWirelessStatusSensorErrorRTN=netBotzWirelessStatusSensorErrorRTN, dryContactSensorEncId=dryContactSensorEncId, cameraMotionSensorId=cameraMotionSensorId, netBotzHumidityTooHighTooLong=netBotzHumidityTooHighTooLong, airFlowSensorTable=airFlowSensorTable, dewPointSensorValue=dewPointSensorValue, netBotzAirFlowTooLowTooLong=netBotzAirFlowTooLowTooLong, netBotzAudioIncreasingTooQuickly=netBotzAudioIncreasingTooQuickly, humiSensorIndex=humiSensorIndex, otherNumericSensorErrorStatus=otherNumericSensorErrorStatus, otherNumericSensorUnits=otherNumericSensorUnits, netBotzDewPointTooLow=netBotzDewPointTooLow, ampDetectSensorEntry=ampDetectSensorEntry, netBotzMultiRAEDeviceStatusErrorRTN=netBotzMultiRAEDeviceStatusErrorRTN, netBotzSNMPCrawlerErrorRTN=netBotzSNMPCrawlerErrorRTN, netBotzHumiditySensorTraps=netBotzHumiditySensorTraps, netBotzGPSStatusSensorErrorRTN=netBotzGPSStatusSensorErrorRTN, netBotzMultiRAESensorTooHighTooLong=netBotzMultiRAESensorTooHighTooLong, errorCondResolved=errorCondResolved, netBotzLoopVoltageTooLowTooLong=netBotzLoopVoltageTooLowTooLong, otherNumericSensorIndex=otherNumericSensorIndex, netBotzAmpDetectError=netBotzAmpDetectError, netBotzLoopVoltageTooLow=netBotzLoopVoltageTooLow, netBotzTempError=netBotzTempError, netBotzAmpDetectSensorTraps=netBotzAmpDetectSensorTraps, netBotzTrapNotifyTime=netBotzTrapNotifyTime, netBotzTrapSensorLabel=netBotzTrapSensorLabel, dinPortSupportsRMS=dinPortSupportsRMS, netBotzDriveNotFoundError=netBotzDriveNotFoundError, avocent500=avocent500, netBotzPlugModuleStatusSensorValueErrorRTN=netBotzPlugModuleStatusSensorValueErrorRTN, dewPointSensorTable=dewPointSensorTable, netBotzGPSMovementTooHighTooLong=netBotzGPSMovementTooHighTooLong, enclosureDockedToEncId=enclosureDockedToEncId, netBotzSNMPCrawlerTooLow=netBotzSNMPCrawlerTooLow, otherPortLabel=otherPortLabel, netBotzGPSPositionNotIncreasingTooQuickly=netBotzGPSPositionNotIncreasingTooQuickly, netBotzMultiRAESensorStatusValueErrorRTN=netBotzMultiRAESensorStatusValueErrorRTN, netBotzSpeakerPlugSensorErrorRTN=netBotzSpeakerPlugSensorErrorRTN, netBotzOutputControlSensorTraps=netBotzOutputControlSensorTraps, humiSensorTable=humiSensorTable, netBotzAmpDetectNotDecreasingTooQuickly=netBotzAmpDetectNotDecreasingTooQuickly, netBotzMultiRAESensorError=netBotzMultiRAESensorError, netBotzDoorSensorErrorRTN=netBotzDoorSensorErrorRTN, netBotzCameraMotionSensorValueError=netBotzCameraMotionSensorValueError, netBotzAirFlowUnplugged=netBotzAirFlowUnplugged, netBotzMultiRAESensorTraps=netBotzMultiRAESensorTraps, netBotz_APC=netBotz_APC, netBotzCameraMotionSensorUnplugged=netBotzCameraMotionSensorUnplugged, netBotzGPSMovementTooHigh=netBotzGPSMovementTooHigh, humiSensorValueStr=humiSensorValueStr, otherNumericSensorValueInt=otherNumericSensorValueInt, netBotzTVSignalSensorTraps=netBotzTVSignalSensorTraps, netBotzAmpDetectTooLowTooLong=netBotzAmpDetectTooLowTooLong, netBotzTrapPortID=netBotzTrapPortID, netBotzMultiRAESensorIncreasingTooQuickly=netBotzMultiRAESensorIncreasingTooQuickly, netBotzAmpDetectTooHighTooLong=netBotzAmpDetectTooHighTooLong, netBotzAmpDetectReplugged=netBotzAmpDetectReplugged, enclosureTable=enclosureTable, netBotzHumidityTooHighRTN=netBotzHumidityTooHighRTN, doorSwitchSensorIndex=doorSwitchSensorIndex, dryContactSensorErrorStatus=dryContactSensorErrorStatus, errorCondEntry=errorCondEntry, netBotzGenericTraps=netBotzGenericTraps, netBotzMultiRAESensorTooLowRTN=netBotzMultiRAESensorTooLowRTN, otherPortTable=otherPortTable, netBotzMultiRAESensorStatusError=netBotzMultiRAESensorStatusError, BoolValue=BoolValue, netBotzLoopVoltageSensorTraps=netBotzLoopVoltageSensorTraps, netBotzDriveNotFoundErrorResolved=netBotzDriveNotFoundErrorResolved, audioSensorEntry=audioSensorEntry, netBotzGPSMovementReplugged=netBotzGPSMovementReplugged, airFlowSensorEntry=airFlowSensorEntry, ampDetectSensorLabel=ampDetectSensorLabel, errorCondResolvedTime=errorCondResolvedTime, dinPortTable=dinPortTable, airFlowSensorEncId=airFlowSensorEncId, netBotzGPSMovementErrorRTN=netBotzGPSMovementErrorRTN, netBotzOutputControlSensorValueError=netBotzOutputControlSensorValueError, netBotzPortTraps=netBotzPortTraps, netBotzAirFlowNotIncreasingTooQuickly=netBotzAirFlowNotIncreasingTooQuickly, netBotzTVSignalSensorValueErrorRTN=netBotzTVSignalSensorValueErrorRTN, errorCondSensorId=errorCondSensorId, netBotzTempIncreasingTooQuickly=netBotzTempIncreasingTooQuickly, netBotzAmpDetectTooHighTooLongRTN=netBotzAmpDetectTooHighTooLongRTN, netBotzDewPointTooHigh=netBotzDewPointTooHigh, ampDetectSensorValue=ampDetectSensorValue, netBotzGPSPositionNotDecreasingTooQuickly=netBotzGPSPositionNotDecreasingTooQuickly, netBotzTrapSensorValueInt=netBotzTrapSensorValueInt, netBotzDewPointUnplugged=netBotzDewPointUnplugged, netBotzSpeakerPlugSensorValueErrorRTN=netBotzSpeakerPlugSensorValueErrorRTN, netBotzTempTooHighTooLongRTN=netBotzTempTooHighTooLongRTN, dewPointSensorErrorStatus=dewPointSensorErrorStatus, dinPortSensorIdSuffix=dinPortSensorIdSuffix, netBotzDewPointDecreasingTooQuickly=netBotzDewPointDecreasingTooQuickly, netBotzHumidityTooHigh=netBotzHumidityTooHigh, netBotzMultiRAEDeviceStatusError=netBotzMultiRAEDeviceStatusError, otherNumericSensorPortId=otherNumericSensorPortId, netBotzAPC=netBotzAPC, netBotzTrapParms=netBotzTrapParms, netBotz320Wall=netBotz320Wall, netBotzLinkStatusSensorUnplugged=netBotzLinkStatusSensorUnplugged, netBotzGPSPositionTooHighTooLong=netBotzGPSPositionTooHighTooLong, cameraMotionSensorValueStr=cameraMotionSensorValueStr, netBotzLinkStatusSensorErrorRTN=netBotzLinkStatusSensorErrorRTN, netBotzTrapPodLabel=netBotzTrapPodLabel, ErrorStatus=ErrorStatus, otherPortId=otherPortId, humiSensorEncId=humiSensorEncId, audioSensorIndex=audioSensorIndex, netBotzGPSPositionErrorRTN=netBotzGPSPositionErrorRTN, netBotzLinkStatusSensorError=netBotzLinkStatusSensorError, netBotzDryContactErrorRTN=netBotzDryContactErrorRTN, netBotzLoopVoltageNotIncreasingTooQuickly=netBotzLoopVoltageNotIncreasingTooQuickly, netBotzPacketDropErrorRTN=netBotzPacketDropErrorRTN, netBotzEnclosures=netBotzEnclosures, netBotzAudioUnplugged=netBotzAudioUnplugged, netBotzAirFlowDecreasingTooQuickly=netBotzAirFlowDecreasingTooQuickly, netBotzLoopVoltageTooHighTooLongRTN=netBotzLoopVoltageTooHighTooLongRTN, netBotzGPSMovementTooLowForTooLongRTN=netBotzGPSMovementTooLowForTooLongRTN, netBotzCameraMotionSensorErrorRTN=netBotzCameraMotionSensorErrorRTN, netBotzDryContactError=netBotzDryContactError, netBotz420EWall=netBotz420EWall, netBotzDewPointTooLowRTN=netBotzDewPointTooLowRTN, netBotzAirFlowTooHighTooLongRTN=netBotzAirFlowTooHighTooLongRTN, netBotzTVSignalSensorReplugged=netBotzTVSignalSensorReplugged, netBotzAudioTooLowTooLong=netBotzAudioTooLowTooLong, netBotzPacketDropIncreasingTooQuickly=netBotzPacketDropIncreasingTooQuickly, netBotzAmpDetectTooLowForTooLongRTN=netBotzAmpDetectTooLowForTooLongRTN, netBotzAudioErrorRTN=netBotzAudioErrorRTN, tempSensorValueStr=tempSensorValueStr, netBotzWirelessStatusSensorUnplugged=netBotzWirelessStatusSensorUnplugged, errorCondTable=errorCondTable, netBotzSNMPCrawlerTooHighTooLong=netBotzSNMPCrawlerTooHighTooLong, netBotzPacketDropTooHighRTN=netBotzPacketDropTooHighRTN, netBotzStateSensors=netBotzStateSensors, netBotzProducts=netBotzProducts, tempSensorTable=tempSensorTable, errorCondIndex=errorCondIndex, netBotzSNMPCrawlerTooLowTooLong=netBotzSNMPCrawlerTooLowTooLong, dryContactSensorIndex=dryContactSensorIndex, netBotzBasePodTraps=netBotzBasePodTraps, netBotzDewPointErrorRTN=netBotzDewPointErrorRTN, netBotzCCTVPodUnplugged=netBotzCCTVPodUnplugged, enclosureStatus=enclosureStatus, netBotzTempNotIncreasingTooQuickly=netBotzTempNotIncreasingTooQuickly, netBotzTempTooHighRTN=netBotzTempTooHighRTN, netBotzAirFlowTooLowRTN=netBotzAirFlowTooLowRTN, netBotzTempTooHigh=netBotzTempTooHigh, netBotzLogonErrorResolved=netBotzLogonErrorResolved, humiSensorId=humiSensorId, netBotzSpeakerPlugSensorError=netBotzSpeakerPlugSensorError, otherNumericSensorValueIntX1000=otherNumericSensorValueIntX1000, dryContactSensorPortId=dryContactSensorPortId, netBotzAmpDetectIncreasingTooQuickly=netBotzAmpDetectIncreasingTooQuickly, netBotzAirFlowNotDecreasingTooQuickly=netBotzAirFlowNotDecreasingTooQuickly, netBotzCameraMotionSensorTraps=netBotzCameraMotionSensorTraps, netBotzDewPointTooHighTooLong=netBotzDewPointTooHighTooLong, netBotzSNMPCrawlerNotIncreasingTooQuickly=netBotzSNMPCrawlerNotIncreasingTooQuickly, netBotzSNMPCrawlerTooHighTooLongRTN=netBotzSNMPCrawlerTooHighTooLongRTN, netBotzSensors=netBotzSensors, netBotzTrapErrorTypeLabel=netBotzTrapErrorTypeLabel, netBotzMicPlugSensorTraps=netBotzMicPlugSensorTraps, netBotzTrapSensorValue=netBotzTrapSensorValue, netBotzAirFlowTooHighRTN=netBotzAirFlowTooHighRTN, netBotzAudioTooLowRTN=netBotzAudioTooLowRTN, netBotzMultiRAESensorTooLowTooLong=netBotzMultiRAESensorTooLowTooLong, tempSensorId=tempSensorId, netBotzWallBotz500=netBotzWallBotz500, netBotzSNMPCrawlerTooLowForTooLongRTN=netBotzSNMPCrawlerTooLowForTooLongRTN, netBotzLoopVoltageDecreasingTooQuickly=netBotzLoopVoltageDecreasingTooQuickly, dewPointSensorIndex=dewPointSensorIndex, netBotzGPSStatusSensorTraps=netBotzGPSStatusSensorTraps, netBotzGPSPositionTooLowRTN=netBotzGPSPositionTooLowRTN, netBotzAirFlowReplugged=netBotzAirFlowReplugged, otherPortIndex=otherPortIndex, tempSensorValue=tempSensorValue, netBotzTrapErrorType=netBotzTrapErrorType, otherStateSensorErrorStatus=otherStateSensorErrorStatus, dewPointSensorEntry=dewPointSensorEntry, netBotzAudioSensorTraps=netBotzAudioSensorTraps, netBotzSensorPodTraps=netBotzSensorPodTraps) mibBuilder.exportSymbols("NETBOTZ320-MIB", netBotzAudioTooLow=netBotzAudioTooLow, netBotzAmpDetectDecreasingTooQuickly=netBotzAmpDetectDecreasingTooQuickly, netBotzRmtLinkErrorResolved=netBotzRmtLinkErrorResolved, doorSwitchSensorErrorStatus=doorSwitchSensorErrorStatus, netBotzGPSPositionTooLowTooLong=netBotzGPSPositionTooLowTooLong, airFlowSensorId=airFlowSensorId, netBotzHumidityTooLowRTN=netBotzHumidityTooLowRTN, netBotz420Rack=netBotz420Rack, PYSNMP_MODULE_ID=netBotz_APC, netBotzLoopVoltageErrorRTN=netBotzLoopVoltageErrorRTN, netBotzMultiRAESensorSensorValueError=netBotzMultiRAESensorSensorValueError, netBotzMultiRAESensorStatusReplugged=netBotzMultiRAESensorStatusReplugged, dinPortId=dinPortId, errorCondPortId=errorCondPortId, netBotzOutputControlSensorReplugged=netBotzOutputControlSensorReplugged, netBotzErrorStatus=netBotzErrorStatus, netBotzSNMPCrawlerUnplugged=netBotzSNMPCrawlerUnplugged, netBotz4to20mAPodTraps=netBotz4to20mAPodTraps, netBotzTrapErrorID=netBotzTrapErrorID, netBotzMultiRAESensorSensorValueErrorRTN=netBotzMultiRAESensorSensorValueErrorRTN, netBotzDoorSensorTraps=netBotzDoorSensorTraps, netBotzDewPointNotDecreasingTooQuickly=netBotzDewPointNotDecreasingTooQuickly, audioSensorValueStr=audioSensorValueStr, netBotzTempNotDecreasingTooQuickly=netBotzTempNotDecreasingTooQuickly, netBotzLinkStatusSensorValueErrorRTN=netBotzLinkStatusSensorValueErrorRTN, airFlowSensorLabel=airFlowSensorLabel, otherStateSensorValueStr=otherStateSensorValueStr, netBotz420ERack=netBotz420ERack, audioSensorErrorStatus=audioSensorErrorStatus, ampDetectSensorIndex=ampDetectSensorIndex)

323.330125

13,638

0.770599

26,987

335,940

9.592248

0.026865

0.234021

0.006304

0.008251

0.759416

0.756917

0.752598

0.749759

0.743725

0.736736

0

0.078931

0.057138

335,940

1,038

13,639

323.641619

0.738338

0.000959

0

0.004864

0

0.500064

0.144761

0

1

0

false

0

0.005837

0

0.01751

0

null

1

0

1

0

1

0

null

0

8

09bf0169966e07b0d51904c218dd1b417423a493

108

py

Python

language_acts/cms/management/commands/wt_update_index.py

kingsdigitallab/language-acts-docker

5597804d16604b525795d3cde3d968028807d7e0

[ "MIT" ]

null

language_acts/cms/management/commands/wt_update_index.py

kingsdigitallab/language-acts-docker

5597804d16604b525795d3cde3d968028807d7e0

[ "MIT" ]

null

language_acts/cms/management/commands/wt_update_index.py

kingsdigitallab/language-acts-docker

5597804d16604b525795d3cde3d968028807d7e0

[ "MIT" ]

null

from wagtail.search.management.commands import update_index class Command(update_index.Command): pass

18

59

0.814815

14

108

6.142857

0.785714

0.255814

0

0.12037

108

5

60

21.6

0.905263

0

1

0

true

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

09c63973dc0745d764542a77c3b87c595ce0ecba

38,034

py

Python

SZR/apps/groups/tests/test_view.py

Alek96/SZR

6c736cded0c6de88b6e4fc5a207273ec1024365b

[ "MIT" ]

1

2019-04-04T17:02:24.000Z

SZR/apps/groups/tests/test_view.py

Alek96/SZR

6c736cded0c6de88b6e4fc5a207273ec1024365b

[ "MIT" ]

1

2019-03-30T13:32:14.000Z

SZR/apps/groups/tests/test_view.py

Alek96/SZR

6c736cded0c6de88b6e4fc5a207273ec1024365b

[ "MIT" ]

null

from GitLabApi import objects from core.tests.test_view import LoginMethods from core.tests.test_view import SimpleUrlsTestsCases from django.db.models import QuerySet from django.urls import reverse from groups import models from groups.sidebar import GroupSidebar, FutureGroupSidebar from groups.tests import test_forms from groups.tests import models as test_models class GitlabWrapperAppNameCase: class GitlabWrapperAppNameTest(SimpleUrlsTestsCases.SimpleUrlsTests): app_name = 'groups' class InitSidebarPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'init_sidebar' args = {'group_id': '1'} @LoginMethods.login_wrapper def test_page_found(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'sidebar.html') self.assertIn('group', response.context) self.assertIn('sidebar', response.context) self.assertIsInstance(response.context['group'], objects.Group) self.assertIsInstance(response.context['sidebar'], GroupSidebar) class IndexPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'index' @LoginMethods.login_wrapper def test_page_found(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/index.html') self.assertIn('group_list', response.context) all(self.assertIsInstance(group, objects.Group) for group in response.context['group_list']) class DetailPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'detail' args = {'group_id': '1'} @LoginMethods.login_wrapper def test_page_found(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/detail.html') self.assertIn('group', response.context) self.assertIn('sidebar', response.context) self.assertIn('unfinished_add_subgroup_list', response.context) self.assertIn('unfinished_add_project_list', response.context) self.assertIsInstance(response.context['group'], objects.Group) self.assertIsInstance(response.context['sidebar'], GroupSidebar) self.assertIsInstance(response.context['unfinished_add_subgroup_list'], QuerySet) self.assertIsInstance(response.context['unfinished_add_project_list'], QuerySet) class MembersPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'members' args = {'group_id': '1'} @LoginMethods.login_wrapper def test_page_found(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/members.html') self.assertIn('group', response.context) self.assertIn('sidebar', response.context) self.assertIn('unfinished_task_list', response.context) self.assertIsInstance(response.context['group'], objects.Group) self.assertIsInstance(response.context['sidebar'], GroupSidebar) self.assertIsInstance(response.context['unfinished_task_list'], QuerySet) class TasksPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'tasks' args = {'group_id': '1'} @LoginMethods.login_wrapper def test_page_found(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/tasks.html') self.assertIn('group', response.context) self.assertIn('sidebar', response.context) self.assertIn('unfinished_task_list', response.context) self.assertIn('finished_task_list', response.context) self.assertIn('new_group_links', response.context) self.assertIsInstance(response.context['group'], objects.Group) self.assertIsInstance(response.context['sidebar'], GroupSidebar) self.assertIsInstance(response.context['unfinished_task_list'], list) self.assertIsInstance(response.context['finished_task_list'], list) self.assertIsInstance(response.context['new_group_links'], list) new_group_links = [ ('New Task Group', reverse('groups:new_task_group', kwargs=self.args)), ('New Subgroup', reverse('groups:new_subgroup_task', kwargs=self.args)), ('New Project', reverse('groups:new_project_task', kwargs=self.args)), ('New Member', reverse('groups:new_member_task', kwargs=self.args)) ] for group_link in response.context['new_group_links']: self.assertIn(group_link, new_group_links) class NewGroupPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_group' @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_valid_data(self): response = self.client.post(self.get_url(), test_forms.AddSubgroupFormTests.valid_form_data) self.assertEqual(response.status_code, 302) self.assertEqual(response.url, reverse('groups:index')) class NewSubgroupPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_subgroup' args = {'group_id': '1'} @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_valid_data(self): response = self.client.post(self.get_url(), test_forms.AddSubgroupFormTests.valid_form_data) self.assertEqual(response.status_code, 302) self.assertEqual(response.url, reverse('groups:detail', kwargs=self.args)) class NewTaskGroupPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_task_group' args = {'group_id': '1'} @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_valid_data(self): response = self.client.post(self.get_url(), test_forms.TaskGroupFormTests.valid_form_data) self.assertEqual(response.status_code, 302) self.assertEqual(response.url, reverse('groups:tasks', kwargs=self.args)) model = models.TaskGroup.objects.get( gitlab_group=models.GitlabGroup.objects.get( gitlab_id=self.args['group_id'])) for key, value in test_forms.TaskGroupFormTests.valid_form_data.items(): self.assertEqual(getattr(model, key), value) class FutureTaskGroupPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_task_group' args = {'task_id': None} def setUp(self): super().setUp() self.parent_task = test_models.AddSubgroupCreateMethods().create_parent_task() self.args['task_id'] = self.parent_task.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_valid_data(self): response = self.client.post(self.get_url(), test_forms.TaskGroupFormTests.valid_form_data) self.assertEqual(response.status_code, 302) self.assertEqual(response.url, reverse('groups:future_group_tasks', kwargs=self.args)) model = models.TaskGroup.objects.get(parent_task=self.parent_task) for key, value in test_forms.TaskGroupFormTests.valid_form_data.items(): self.assertEqual(getattr(model, key), value) class EditTaskGroupPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'edit_task_group' args = {'task_group_id': 1} def setUp(self): super().setUp() self.parent_task = test_models.AddSubgroupCreateMethods().create_parent_task() self.task_group = test_models.AddSubgroupCreateMethods().create_task_group( parent_task=self.parent_task ) self.args['task_group_id'] = self.task_group.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_group_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') def _test_page_post_valid_data(self): data = self.get_initial_form_data() self.assertEqual(data['name'], self.task_group.name) data['name'] = 'Another Name' response = self.client.post(self.get_url(), data) self.assertEqual(response.status_code, 302) self.task_group.refresh_from_db() self.assertEqual(self.task_group.name, data['name']) return response @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_tasks(self): self.task_group.gitlab_group.gitlab_id = 42 self.task_group.gitlab_group.save() response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:tasks', kwargs={'group_id': self.task_group.gitlab_group.gitlab_id})) @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_future_tasks(self): response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:future_group_tasks', kwargs={'task_id': self.parent_task.id})) class NewSubgroupTaskPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_subgroup_task' args = {'task_group_id': 1} def setUp(self): super().setUp() self.parent_task = test_models.AddSubgroupCreateMethods().create_parent_task() self.task_group = test_models.AddSubgroupCreateMethods().create_task_group( parent_task=self.parent_task ) self.args['task_group_id'] = self.task_group.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_group_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') def _test_page_post_valid_data(self): response = self.client.post(self.get_url(), test_forms.AddSubgroupFormTests.valid_form_data) self.assertEqual(response.status_code, 302) model = models.AddSubgroup.objects.get(task_group=self.task_group) for key, value in test_forms.AddSubgroupFormTests.valid_form_data.items(): self.assertEqual(getattr(model, key), value) return response @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_tasks(self): self.task_group.gitlab_group.gitlab_id = 42 self.task_group.gitlab_group.save() response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:tasks', kwargs={'group_id': self.task_group.gitlab_group.gitlab_id})) @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_tasks(self): response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:future_group_tasks', kwargs={'task_id': self.parent_task.id})) class EditSubgroupTaskPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'edit_subgroup_task' args = {'task_id': 1} def setUp(self): super().setUp() self.parent_task = test_models.AddSubgroupCreateMethods().create_parent_task() self.task = test_models.AddSubgroupCreateMethods().create_task( parent_task=self.parent_task) self.args['task_id'] = self.task.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') def _test_page_post_valid_data(self): data = self.get_initial_form_data() self.assertEqual(data['name'], self.task.name) data['name'] = 'Another Name' data['description'] = 'Description' response = self.client.post(self.get_url(), data) self.assertEqual(response.status_code, 302) self.task.refresh_from_db() self.assertEqual(self.task.name, data['name']) self.assertEqual(self.task.description, data['description']) return response @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_tasks(self): self.task.gitlab_group.gitlab_id = 42 self.task.gitlab_group.save() response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:tasks', kwargs={'group_id': self.task.gitlab_group.gitlab_id})) @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_future_tasks(self): response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:future_group_tasks', kwargs={'task_id': self.parent_task.id})) class NewProjectPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_project' args = {'group_id': '1'} @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_valid_data(self): response = self.client.post(self.get_url(), test_forms.AddProjectFormTests.valid_form_data) self.assertEqual(response.status_code, 302) self.assertEqual(response.url, reverse('groups:detail', kwargs=self.args)) class NewProjectTaskPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_project_task' args = {'task_group_id': 1} def setUp(self): super().setUp() self.parent_task = test_models.AddProjectCreateMethods().create_parent_task() self.task_group = test_models.AddProjectCreateMethods().create_task_group( parent_task=self.parent_task ) self.args['task_group_id'] = self.task_group.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_group_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') def _test_page_post_valid_data(self): response = self.client.post(self.get_url(), test_forms.AddProjectFormTests.valid_form_data) self.assertEqual(response.status_code, 302) model = models.AddProject.objects.get(task_group=self.task_group) for key, value in test_forms.AddProjectFormTests.valid_form_data.items(): self.assertEqual(getattr(model, key), value) return response @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_tasks(self): self.task_group.gitlab_group.gitlab_id = 42 self.task_group.gitlab_group.save() response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:tasks', kwargs={'group_id': self.task_group.gitlab_group.gitlab_id})) @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_tasks(self): response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:future_group_tasks', kwargs={'task_id': self.parent_task.id})) class EditProjectTaskPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'edit_project_task' args = {'task_id': 1} def setUp(self): super().setUp() self.parent_task = test_models.AddProjectCreateMethods().create_parent_task() self.task = test_models.AddProjectCreateMethods().create_task( parent_task=self.parent_task) self.args['task_id'] = self.task.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') def _test_page_post_valid_data(self): data = self.get_initial_form_data() self.assertEqual(data['name'], self.task.name) data['name'] = 'Another Name' data['description'] = 'Description' response = self.client.post(self.get_url(), data) self.assertEqual(response.status_code, 302) self.task.refresh_from_db() self.assertEqual(self.task.name, data['name']) self.assertEqual(self.task.description, data['description']) return response @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_tasks(self): self.task.gitlab_group.gitlab_id = 42 self.task.gitlab_group.save() response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:tasks', kwargs={'group_id': self.task.gitlab_group.gitlab_id})) @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_future_tasks(self): response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:future_group_tasks', kwargs={'task_id': self.parent_task.id})) class NewMemberPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_member' args = {'group_id': '1'} @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_valid_data(self): response = self.client.post(self.get_url(), test_forms.AddMemberFormTests.valid_form_data) self.assertEqual(response.status_code, 302) self.assertEqual(response.url, reverse('groups:members', kwargs=self.args)) class NewMemberTaskPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_member_task' args = {'task_group_id': 1} def setUp(self): super().setUp() self.parent_task = test_models.AddMemberCreateMethods().create_parent_task() self.task_group = test_models.AddMemberCreateMethods().create_task_group( parent_task=self.parent_task ) self.args['task_group_id'] = self.task_group.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_group_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') def _test_page_post_valid_data(self): response = self.client.post(self.get_url(), test_forms.AddMemberFormTests.valid_form_data) self.assertEqual(response.status_code, 302) model = models.AddMember.objects.get(task_group=self.task_group) for key, value in test_forms.AddMemberFormTests.valid_form_data.items(): self.assertEqual(getattr(model, key), value) return response @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_tasks(self): self.task_group.gitlab_group.gitlab_id = 42 self.task_group.gitlab_group.save() response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:tasks', kwargs={'group_id': self.task_group.gitlab_group.gitlab_id})) @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_tasks(self): response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:future_group_tasks', kwargs={'task_id': self.parent_task.id})) class EditMemberTaskPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'edit_member_task' args = {'task_id': 1} def setUp(self): super().setUp() self.parent_task = test_models.AddMemberCreateMethods().create_parent_task() self.task = test_models.AddMemberCreateMethods().create_task( parent_task=self.parent_task) self.args['task_id'] = self.task.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') def _test_page_post_valid_data(self): data = self.get_initial_form_data() self.assertEqual(data['username'], self.task.username) data['username'] = 'Another username' response = self.client.post(self.get_url(), data) self.assertEqual(response.status_code, 302) self.task.refresh_from_db() self.assertEqual(self.task.username, data['username']) return response @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_tasks(self): self.task.gitlab_group.gitlab_id = 42 self.task.gitlab_group.save() response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:tasks', kwargs={'group_id': self.task.gitlab_group.gitlab_id})) @LoginMethods.login_wrapper def test_page_post_valid_data_redirect_to_future_tasks(self): response = self._test_page_post_valid_data() self.assertEqual(response.url, reverse('groups:future_group_tasks', kwargs={'task_id': self.parent_task.id})) class NewMembersFromFilePageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_members_from_file' args = {'group_id': '1'} def setUp(self): super().setUp() for key, value in test_forms.MembersFromFileFormTests.valid_file_data.items(): value.file.seek(0) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_valid_data(self): response = self.client.post(self.get_url(), {**test_forms.MembersFromFileFormTests.valid_form_data, **test_forms.MembersFromFileFormTests.valid_file_data}) self.assertEqual(response.status_code, 302) self.assertEqual(response.url, reverse('groups:tasks', kwargs=self.args)) class FutureNewMembersFromFilePageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_members_from_file' args = {'task_id': None} def setUp(self): super().setUp() self.parent_task = test_models.AddSubgroupCreateMethods().create_parent_task() self.args['task_id'] = self.parent_task.id for key, value in test_forms.MembersFromFileFormTests.valid_file_data.items(): value.file.seek(0) @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_valid_data(self): response = self.client.post(self.get_url(), {**test_forms.MembersFromFileFormTests.valid_form_data, **test_forms.MembersFromFileFormTests.valid_file_data}) self.assertEqual(response.status_code, 302) self.assertEqual(response.url, reverse('groups:future_group_tasks', kwargs=self.args)) class NewSubgroupsAndMembersFromFilePageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_subgroup_and_members_from_file' args = {'group_id': '1'} def setUp(self): super().setUp() for key, value in test_forms.SubgroupAndMembersFromFileFormTests.valid_file_data.items(): value.file.seek(0) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_valid_data(self): response = self.client.post(self.get_url(), {**test_forms.SubgroupAndMembersFromFileFormTests.valid_form_data, **test_forms.SubgroupAndMembersFromFileFormTests.valid_file_data}) self.assertEqual(response.status_code, 302) self.assertEqual(response.url, reverse('groups:tasks', kwargs=self.args)) class FutureNewSubgroupsAndMembersFromFilePageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'new_subgroup_and_members_from_file' args = {'task_id': None} def setUp(self): super().setUp() self.parent_task = test_models.AddSubgroupCreateMethods().create_parent_task() self.args['task_id'] = self.parent_task.id for key, value in test_forms.SubgroupAndMembersFromFileFormTests.valid_file_data.items(): value.file.seek(0) @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_get(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_not_valid_data(self): response = self.client.post(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/form_base_site.html') @LoginMethods.login_wrapper def test_page_post_valid_data(self): response = self.client.post(self.get_url(), {**test_forms.SubgroupAndMembersFromFileFormTests.valid_form_data, **test_forms.SubgroupAndMembersFromFileFormTests.valid_file_data}) self.assertEqual(response.status_code, 302) self.assertEqual(response.url, reverse('groups:future_group_tasks', kwargs=self.args)) class FutureGroupDetailPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'future_group_detail' args = {'task_id': None} def setUp(self): super().setUp() self.task = test_models.AddSubgroupCreateMethods().create_task() self.args['task_id'] = self.task.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_found(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/tasks/detail.html') self.assertIn('task', response.context) self.assertIn('sidebar', response.context) self.assertIn('unfinished_add_subgroup_list', response.context) self.assertIn('unfinished_add_project_list', response.context) self.assertIsInstance(response.context['task'], models.AddSubgroup) self.assertIsInstance(response.context['sidebar'], FutureGroupSidebar) self.assertIsInstance(response.context['unfinished_add_subgroup_list'], QuerySet) self.assertIsInstance(response.context['unfinished_add_project_list'], QuerySet) class FutureGroupMembersPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'future_group_members' args = {'task_id': None} def setUp(self): super().setUp() self.task = test_models.AddSubgroupCreateMethods().create_task() self.args['task_id'] = self.task.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_found(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/tasks/members.html') self.assertIn('task', response.context) self.assertIn('sidebar', response.context) self.assertIn('unfinished_task_list', response.context) self.assertIsInstance(response.context['task'], models.AddSubgroup) self.assertIsInstance(response.context['sidebar'], FutureGroupSidebar) self.assertIsInstance(response.context['unfinished_task_list'], QuerySet) class FutureGroupTasksPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'future_group_tasks' args = {'task_id': None} def setUp(self): super().setUp() self.task = test_models.AddSubgroupCreateMethods().create_task() self.args['task_id'] = self.task.id @LoginMethods.login_wrapper def test_page_not_found(self): self.args['task_id'] += 1 response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 404) @LoginMethods.login_wrapper def test_page_found(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/tasks/tasks.html') self.assertIn('task', response.context) self.assertIn('sidebar', response.context) self.assertIn('unfinished_task_list', response.context) self.assertIn('finished_task_list', response.context) self.assertIn('new_group_links', response.context) self.assertIsInstance(response.context['task'], models.AddSubgroup) self.assertIsInstance(response.context['sidebar'], FutureGroupSidebar) self.assertIsInstance(response.context['unfinished_task_list'], list) self.assertIsInstance(response.context['finished_task_list'], list) self.assertIsInstance(response.context['new_group_links'], list) new_group_links = [ ('New Task Group', reverse('groups:new_task_group', kwargs=self.args)), ('New Subgroup', reverse('groups:new_subgroup_task', kwargs=self.args)), ('New Project', reverse('groups:new_project_task', kwargs=self.args)), ('New Member', reverse('groups:new_member_task', kwargs=self.args)) ] for group_link in response.context['new_group_links']: self.assertIn(group_link, new_group_links) class AjaxLoadSubgroupPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'ajax_load_subgroups' args = {'group_id': '1'} @LoginMethods.login_wrapper def test_page_found(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/ajax/load_subgroups_and_projects.html') self.assertIn('group_list', response.context) self.assertIsInstance(response.context['group_list'], list) all(self.assertIsInstance(group, objects.GroupSubgroup) for group in response.context['group_list']) self.assertIn('project_list', response.context) self.assertEqual(response.context['project_list'], []) class AjaxLoadSubgroupAndProjectsPageTest(GitlabWrapperAppNameCase.GitlabWrapperAppNameTest): name = 'ajax_load_subgroups_and_projects' args = {'group_id': '1'} @LoginMethods.login_wrapper def test_page_found(self): response = self.client.get(self.get_url()) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'groups/ajax/load_subgroups_and_projects.html') self.assertIn('group_list', response.context) self.assertIsInstance(response.context['group_list'], list) all(self.assertIsInstance(group, objects.GroupSubgroup) for group in response.context['group_list']) self.assertIn('project_list', response.context) all(self.assertIsInstance(project, objects.GroupProject) for project in response.context['project_list'])

40.504792

119

0.705474

4,412

38,034

5.810517

0.034905

0.064363

0.085232

0.081097

0.924637

0.894952

0.882119

0.870651

0.86519

0.861835

0

0.008401

0.186254

38,034

938

120

40.547974

0.819903

0

0.862637

0

0.09828

0.045538

0

0.29533

1

0.135989

false

0

0.012363

0

0.269231

0

null

0

1

0

1

0

null

0

7

09d4a317e5ecf2de1ddd57bbb2cdc084d1b51abd

79

py

Python

problem/01000~09999/01598/1598.py3.py

njw1204/BOJ-AC

1de41685725ae4657a7ff94e413febd97a888567

[ "MIT" ]

1

2019-04-19T16:37:44.000Z

problem/01000~09999/01598/1598.py3.py

njw1204/BOJ-AC

1de41685725ae4657a7ff94e413febd97a888567

[ "MIT" ]

1

2019-04-20T11:42:44.000Z

problem/01000~09999/01598/1598.py3.py

njw1204/BOJ-AC

1de41685725ae4657a7ff94e413febd97a888567

[ "MIT" ]

3

2019-04-19T16:37:47.000Z

2021-10-25T00:45:00.000Z

A,B=map(int,input().split()) print(abs((A-1)%4-(B-1)%4)+abs((A-1)//4-(B-1)//4))

39.5

50

0.518987

21

79

1.952381

0.47619

0.195122

0.243902

0.292683

0.439024

0

0.102564

0.012658

79

2

50

39.5

0.423077

0

1

0

true

0

0.5

1

0

1

null

0

1

0

1

0

1

0

null

0

1

0

1

0

8

111e7a9e76483b45ecc6087e052c71e993ec724c

5,051

py

Python

tests/test_bfs.py

Akards/Parallel-Python

00f75e4baa6953e207e7766747a6dc6750c2796c

[ "MIT" ]

1

2020-01-21T22:34:18.000Z

tests/test_bfs.py

Akards/Parallel-Python

00f75e4baa6953e207e7766747a6dc6750c2796c

[ "MIT" ]

1

2020-05-06T02:19:42.000Z

tests/test_bfs.py

Akards/Medusa

00f75e4baa6953e207e7766747a6dc6750c2796c

[ "MIT" ]

null

#!/usr/bin/env python3 import unittest import networkx as nx from Medusa.graphs import bfs class TestBFS(unittest.TestCase): def test_disconnected_graph(self): G = nx.Graph() node_list = ['A', 'B', 'C', 'D', 'E', 'F'] G.add_nodes_from(node_list) self.assertEqual(list(G.nodes), node_list) bfs.breadth_first_search(G, 'A', 1) self.assertEqual(G.nodes['A']['distance'], 0) self.assertEqual(G.nodes['B']['distance'], -1) self.assertEqual(G.nodes['C']['distance'], -1) self.assertEqual(G.nodes['D']['distance'], -1) self.assertEqual(G.nodes['E']['distance'], -1) self.assertEqual(G.nodes['F']['distance'], -1) def test_sequential(self): G = nx.Graph() node_list = ['A', 'B', 'C', 'D', 'E', 'F'] G.add_nodes_from(node_list) edge_list = [('A','C'),('A', 'B'),('C','E'),('B', 'D'),('D','F')] G.add_edges_from(edge_list) bfs.breadth_first_search(G, 'A', 1) self.assertEqual(G.nodes['A']['distance'], 0) self.assertEqual(G.nodes['B']['distance'], 1) self.assertEqual(G.nodes['C']['distance'], 1) self.assertEqual(G.nodes['D']['distance'], 2) self.assertEqual(G.nodes['E']['distance'], 2) self.assertEqual(G.nodes['F']['distance'], 3) def test_parallel_2(self): G = nx.Graph() node_list = ['A', 'B', 'C', 'D', 'E', 'F'] G.add_nodes_from(node_list) edge_list = [('A','C'),('A', 'B'),('C','E'),('B', 'D'),('D','F')] G.add_edges_from(edge_list) bfs.breadth_first_search(G, 'A', 2) self.assertEqual(G.nodes['A']['distance'], 0) self.assertEqual(G.nodes['B']['distance'], 1) self.assertEqual(G.nodes['C']['distance'], 1) self.assertEqual(G.nodes['D']['distance'], 2) self.assertEqual(G.nodes['E']['distance'], 2) self.assertEqual(G.nodes['F']['distance'], 3) def test_parallel_3(self): G = nx.Graph() node_list = ['A', 'B', 'C', 'D', 'E', 'F'] G.add_nodes_from(node_list) edge_list = [('A','C'),('A', 'B'),('C','E'),('B', 'D'),('D','F')] G.add_edges_from(edge_list) bfs.breadth_first_search(G, 'A', 3) self.assertEqual(G.nodes['A']['distance'], 0) self.assertEqual(G.nodes['B']['distance'], 1) self.assertEqual(G.nodes['C']['distance'], 1) self.assertEqual(G.nodes['D']['distance'], 2) self.assertEqual(G.nodes['E']['distance'], 2) self.assertEqual(G.nodes['F']['distance'], 3) def test_parallel_4(self): G = nx.Graph() node_list = ['A', 'B', 'C', 'D', 'E', 'F'] G.add_nodes_from(node_list) edge_list = [('A','C'),('A', 'B'),('C','E'),('B', 'D'),('D','F')] G.add_edges_from(edge_list) bfs.breadth_first_search(G, 'A', 4) self.assertEqual(G.nodes['A']['distance'], 0) self.assertEqual(G.nodes['B']['distance'], 1) self.assertEqual(G.nodes['C']['distance'], 1) self.assertEqual(G.nodes['D']['distance'], 2) self.assertEqual(G.nodes['E']['distance'], 2) self.assertEqual(G.nodes['F']['distance'], 3) def test_parallel_5(self): G = nx.Graph() node_list = ['A', 'B', 'C', 'D', 'E', 'F'] G.add_nodes_from(node_list) edge_list = [('A','C'),('A', 'B'),('C','E'),('B', 'D'),('D','F')] G.add_edges_from(edge_list) bfs.breadth_first_search(G, 'A', 5) self.assertEqual(G.nodes['A']['distance'], 0) self.assertEqual(G.nodes['B']['distance'], 1) self.assertEqual(G.nodes['C']['distance'], 1) self.assertEqual(G.nodes['D']['distance'], 2) self.assertEqual(G.nodes['E']['distance'], 2) self.assertEqual(G.nodes['F']['distance'], 3) def test_parallel_6(self): G = nx.Graph() node_list = ['A', 'B', 'C', 'D', 'E', 'F'] G.add_nodes_from(node_list) edge_list = [('A','C'),('A', 'B'),('C','E'),('B', 'D'),('D','F')] G.add_edges_from(edge_list) bfs.breadth_first_search(G, 'A', 6) self.assertEqual(G.nodes['A']['distance'], 0) self.assertEqual(G.nodes['B']['distance'], 1) self.assertEqual(G.nodes['C']['distance'], 1) self.assertEqual(G.nodes['D']['distance'], 2) self.assertEqual(G.nodes['E']['distance'], 2) self.assertEqual(G.nodes['F']['distance'], 3) def test_parallel_7(self): G = nx.Graph() node_list = ['A', 'B', 'C', 'D', 'E', 'F'] G.add_nodes_from(node_list) edge_list = [('A','C'),('A', 'B'),('C','E'),('B', 'D'),('D','F')] G.add_edges_from(edge_list) bfs.breadth_first_search(G, 'A', 7) self.assertEqual(G.nodes['A']['distance'], 0) self.assertEqual(G.nodes['B']['distance'], 1) self.assertEqual(G.nodes['C']['distance'], 1) self.assertEqual(G.nodes['D']['distance'], 2) self.assertEqual(G.nodes['E']['distance'], 2) self.assertEqual(G.nodes['F']['distance'], 3)

39.155039

73

0.532964

719

5,051

3.616134

0.06815

0.282692

0.295385

0.387692

0.929615

0.929231

0.905385

0

0.015953

0.218175

5,051

128

74

39.460938

0.642441

0.004158

0

0.775701

0

0.111222

0

0.457944

1

0.074766

false

0

0.028037

0

0.11215

0

null

1

0

1

0

null

0

1

0

11

1147cac2d45b8619099a15ce365744ccd24a7534

9,785

py

Python

jsonconf/tests/commandLineTests.py

bponsler/jsonconf

a620a17a7e69479809b6878eb323086c76509d33

[ "MIT" ]

null

jsonconf/tests/commandLineTests.py

bponsler/jsonconf

a620a17a7e69479809b6878eb323086c76509d33

[ "MIT" ]

null

jsonconf/tests/commandLineTests.py

bponsler/jsonconf

a620a17a7e69479809b6878eb323086c76509d33

[ "MIT" ]

null

from unittest import TestCase from jsonconf import CommandLineParser class ConfigTests(TestCase): def setUp(self): pass def test_constructor(self): parser = CommandLineParser() self.assertTrue(parser is not None) self.assertEqual(parser.getKeywordArguments(), {}) self.assertEqual(parser.getExtraArguments(), []) self.assertEqual(parser.getProgram(), None) def test_emptyArgs(self): args = [] parser = CommandLineParser() parser.parse(args) self.assertEqual(parser.getKeywordArguments(), {}) self.assertEqual(parser.getExtraArguments(), []) self.assertEqual(parser.getProgram(), None) def test_singleArg(self): args = ["/usr/bin/whatever"] parser = CommandLineParser() parser.parse(args) self.assertEqual(parser.getKeywordArguments(), {}) self.assertEqual(parser.getExtraArguments(), []) self.assertEqual(parser.getProgram(), "/usr/bin/whatever") def test_extraArgs(self): extraArgs = ["one", "two", "-d", "--ignore"] args = ["/usr/bin/whatever"] args.extend(extraArgs) parser = CommandLineParser() parser.parse(args) self.assertEqual(parser.getKeywordArguments(), {}) self.assertEqual(parser.getExtraArguments(), extraArgs) self.assertEqual(parser.getProgram(), "/usr/bin/whatever") def test_keyArgs(self): kwargs = { "one": '1', "two": "2", "-d": "hello", "--ignore": '5', } extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.parse(args) self.assertEqual(parser.getKeywordArguments(), kwargs) self.assertEqual(parser.getExtraArguments(), extraArgs) self.assertEqual(parser.getProgram(), "/usr/bin/whatever") def test_complexKey(self): kwargs = { "one.two.three": '1', } extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.parse(args) self.assertEqual(parser.getKeywordArguments(), kwargs) self.assertEqual(parser.getExtraArguments(), extraArgs) self.assertEqual(parser.getProgram(), "/usr/bin/whatever") def test_both(self): kwargs = { "one": '1', "two.three": '1', } extraArgs = ["--test", "-v"] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.parse(args) self.assertEqual(parser.getKeywordArguments(), kwargs) self.assertEqual(parser.getExtraArguments(), extraArgs) self.assertEqual(parser.getProgram(), "/usr/bin/whatever") def test_requiredTest(self): kwargs = {} extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.requireKey("verbose") self.assertRaises(Exception, parser.parse, args) def test_requiredTest2(self): kwargs = {"--verbose": 1} extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.requireKey("--verbose") parser.parse(args) def test_invalidConverter(self): kwargs = {"--verbose": "hello"} extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() # Cannot parse string to int parser.requireKey("--verbose", int) self.assertRaises(Exception, parser.parse, args) def test_invalidConverter(self): kwargs = {"--verbose": "1"} extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.requireKey("--verbose", int) parser.parse(args) def test_renameKeywordArguments(self): kwargs = {"--verbose": "1"} extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.get("verbose"), "1") self.assertEqual(parser.getExtraArguments(), []) kwargs = {"-v": "1"} extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.get("verbose"), "1") self.assertEqual(parser.getExtraArguments(), []) kwargs = {"verbose": "1"} extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.get("verbose"), "1") self.assertEqual(parser.getExtraArguments(), []) kwargs = {"verb": "1"} extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.get("verbose"), "1") self.assertEqual(parser.getExtraArguments(), []) kwargs = {"verbose": "1", "--verbose": "1", "-v": "1", "verb": "1"} extraArgs = [] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.get("verbose"), "1") self.assertEqual(parser.getExtraArguments(), []) def test_renameExtraArguments(self): kwargs = {} extraArgs = ["-v"] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.getKeywordArguments(), {}) self.assertEqual(parser.getExtraArguments(), ["verbose"]) extraArgs = ["--verbose"] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.getKeywordArguments(), {}) self.assertEqual(parser.getExtraArguments(), ["verbose"]) extraArgs = ["verbose"] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.getKeywordArguments(), {}) self.assertEqual(parser.getExtraArguments(), ["verbose"]) extraArgs = ["verb"] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.getKeywordArguments(), {}) self.assertEqual(parser.getExtraArguments(), ["verbose"]) extraArgs = ["-v", "--verbose", "verb", "verbose"] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.getKeywordArguments(), {}) self.assertEqual(parser.getExtraArguments(), ["verbose"]) def test_renameOtherArgs(self): kwargs = {"test": "255"} extraArgs = ["--verbose", "otherArg"] args = ["/usr/bin/whatever"] args.extend(map(lambda i: "%s=%s" % (i[0], i[1]), kwargs.items())) args.extend(extraArgs) parser = CommandLineParser() parser.renameKeys("verbose", ["-v", "--verbose", "verbose", "verb"]) parser.parse(args) self.assertEqual(parser.getKeywordArguments(), {"test": "255"}) self.assertEqual(parser.getExtraArguments(), ["verbose", "otherArg"])

31.16242

77

0.565968

963

9,785

5.736241

0.073728

0.116763

0.163469

0.06517

0.891926

0.873642

0.870384

0.85735

0.836713

0

0.008747

0.252223

9,785

313

78

31.261981

0.746207

0.002657

0

0.792793

0

0.122374

0

0.207207

1

0.067568

false

0.004505

0.009009

0

0.081081

0

null

0

1

0

1

0

null

0

7

fefddd9980e1a08dba069a50445eaacb2d332cd6

13,200

py

Python

haas/tests/test_text_test_result.py

itziakos/haas

93a2e886f66d7fb40f39305032cad6614fcc52a1

[ "BSD-3-Clause" ]

4

2017-10-10T06:45:35.000Z

2021-02-27T09:44:16.000Z

haas/tests/test_text_test_result.py

itziakos/haas

93a2e886f66d7fb40f39305032cad6614fcc52a1

[ "BSD-3-Clause" ]

34

2015-02-24T17:04:15.000Z

2017-01-05T12:35:14.000Z

haas/tests/test_text_test_result.py

itziakos/haas

93a2e886f66d7fb40f39305032cad6614fcc52a1

[ "BSD-3-Clause" ]

4

2018-03-05T19:05:19.000Z

2019-12-11T08:42:22.000Z

# -*- coding: utf-8 -*- # Copyright (c) 2013-2019 Simon Jagoe # All rights reserved. # # This software may be modified and distributed under the terms # of the 3-clause BSD license. See the LICENSE.txt file for details. from __future__ import absolute_import, unicode_literals from datetime import datetime, timedelta from ..plugins.i_result_handler_plugin import IResultHandlerPlugin from ..result import ( ResultCollector, TestResult, TestCompletionStatus, TestDuration ) from ..testing import unittest from . import _test_cases, _test_case_data from .fixtures import ExcInfoFixture, MockDateTime from .compat import mock class TestTextTestResult(ExcInfoFixture, unittest.TestCase): def test_result_collector_calls_handlers_start_stop_methods(self): # Given handler = mock.Mock(spec=IResultHandlerPlugin) collector = ResultCollector() collector.add_result_handler(handler) case = _test_cases.TestCase('test_method') # When handler.reset_mock() collector.startTestRun() # Then handler.start_test_run.assert_called_once_with() self.assertFalse(handler.called) self.assertFalse(handler.stop_test_run.called) self.assertFalse(handler.start_test.called) self.assertFalse(handler.stop_test.called) # When handler.reset_mock() collector.stopTestRun() # Then handler.stop_test_run.assert_called_once_with() self.assertFalse(handler.called) self.assertFalse(handler.start_test_run.called) self.assertFalse(handler.start_test.called) self.assertFalse(handler.stop_test.called) # When handler.reset_mock() collector.startTest(case) # Then handler.start_test.assert_called_once_with(case) self.assertFalse(handler.called) self.assertFalse(handler.start_test_run.called) self.assertFalse(handler.stop_test_run.called) self.assertFalse(handler.stop_test.called) # When handler.reset_mock() collector.stopTest(case) # Then handler.stop_test.assert_called_once_with(case) self.assertFalse(handler.called) self.assertFalse(handler.start_test_run.called) self.assertFalse(handler.stop_test_run.called) self.assertFalse(handler.start_test.called) def test_unicode_traceback(self): # Given handler = mock.Mock(spec=IResultHandlerPlugin) collector = ResultCollector() collector.add_result_handler(handler) start_time = datetime(2015, 12, 23, 8, 14, 12) duration = timedelta(seconds=10) end_time = start_time + duration expected_duration = TestDuration(start_time, end_time) case = _test_cases.TestCase('test_method') # When with mock.patch('haas.result.datetime', new=MockDateTime(start_time)): collector.startTest(case) # Then self.assertTrue(handler.start_test.called) handler.start_test.reset_mock() # Given msg = '\N{GREEK SMALL LETTER PHI}'.encode('utf-8') with self.failure_exc_info(msg) as exc_info: expected_result = TestResult.from_test_case( case, TestCompletionStatus.error, expected_duration, exception=exc_info) # When with mock.patch( 'haas.result.datetime', new=MockDateTime(end_time)): collector.addError(case, exc_info) # Then handler.assert_called_once_with(expected_result) self.assertFalse(handler.start_test_run.called) self.assertFalse(handler.stop_test_run.called) self.assertFalse(handler.start_test.called) self.assertFalse(handler.stop_test.called) self.assertFalse(collector.wasSuccessful()) def test_result_collector_calls_handlers_on_error(self): # Given handler = mock.Mock(spec=IResultHandlerPlugin) collector = ResultCollector() collector.add_result_handler(handler) start_time = datetime(2015, 12, 23, 8, 14, 12) duration = timedelta(seconds=10) end_time = start_time + duration expected_duration = TestDuration(start_time, end_time) case = _test_cases.TestCase('test_method') # When with mock.patch('haas.result.datetime', new=MockDateTime(start_time)): collector.startTest(case) # Then self.assertTrue(handler.start_test.called) handler.start_test.reset_mock() # When with self.exc_info(RuntimeError) as exc_info: # Given expected_result = TestResult.from_test_case( case, TestCompletionStatus.error, expected_duration, exception=exc_info) # When with mock.patch( 'haas.result.datetime', new=MockDateTime(end_time)): collector.addError(case, exc_info) # Then handler.assert_called_once_with(expected_result) self.assertFalse(handler.start_test_run.called) self.assertFalse(handler.stop_test_run.called) self.assertFalse(handler.start_test.called) self.assertFalse(handler.stop_test.called) self.assertFalse(collector.wasSuccessful()) def test_result_collector_calls_handlers_on_failure(self): # Given handler = mock.Mock(spec=IResultHandlerPlugin) collector = ResultCollector() collector.add_result_handler(handler) start_time = datetime(2015, 12, 23, 8, 14, 12) duration = timedelta(seconds=10) end_time = start_time + duration expected_duration = TestDuration(start_time, end_time) case = _test_cases.TestCase('test_method') # When with mock.patch('haas.result.datetime', new=MockDateTime(start_time)): collector.startTest(case) # Then self.assertTrue(handler.start_test.called) handler.start_test.reset_mock() # Given with self.failure_exc_info() as exc_info: expected_result = TestResult.from_test_case( case, TestCompletionStatus.failure, expected_duration, exception=exc_info) # When with mock.patch( 'haas.result.datetime', new=MockDateTime(end_time)): collector.addFailure(case, exc_info) # Then handler.assert_called_once_with(expected_result) self.assertFalse(handler.start_test_run.called) self.assertFalse(handler.stop_test_run.called) self.assertFalse(handler.start_test.called) self.assertFalse(handler.stop_test.called) self.assertFalse(collector.wasSuccessful()) def test_result_collector_calls_handlers_on_success(self): # Given handler = mock.Mock(spec=IResultHandlerPlugin) collector = ResultCollector() collector.add_result_handler(handler) start_time = datetime(2015, 12, 23, 8, 14, 12) duration = timedelta(seconds=10) end_time = start_time + duration expected_duration = TestDuration(start_time, end_time) case = _test_cases.TestCase('test_method') # When with mock.patch('haas.result.datetime', new=MockDateTime(start_time)): collector.startTest(case) # Then self.assertTrue(handler.start_test.called) handler.start_test.reset_mock() # Given expected_result = TestResult.from_test_case( case, TestCompletionStatus.success, expected_duration) # When with mock.patch('haas.result.datetime', new=MockDateTime(end_time)): collector.addSuccess(case) # Then handler.assert_called_once_with(expected_result) self.assertFalse(handler.start_test_run.called) self.assertFalse(handler.stop_test_run.called) self.assertFalse(handler.start_test.called) self.assertFalse(handler.stop_test.called) self.assertTrue(collector.wasSuccessful()) def test_result_collector_calls_handlers_on_skip(self): # Given handler = mock.Mock(spec=IResultHandlerPlugin) collector = ResultCollector() collector.add_result_handler(handler) start_time = datetime(2015, 12, 23, 8, 14, 12) duration = timedelta(seconds=10) end_time = start_time + duration expected_duration = TestDuration(start_time, end_time) case = _test_cases.TestCase('test_method') # When with mock.patch('haas.result.datetime', new=MockDateTime(start_time)): collector.startTest(case) # Then self.assertTrue(handler.start_test.called) handler.start_test.reset_mock() # Given expected_result = TestResult.from_test_case( case, TestCompletionStatus.skipped, expected_duration, message='reason') # When with mock.patch('haas.result.datetime', new=MockDateTime(end_time)): collector.addSkip(case, 'reason') # Then handler.assert_called_once_with(expected_result) self.assertFalse(handler.start_test_run.called) self.assertFalse(handler.stop_test_run.called) self.assertFalse(handler.start_test.called) self.assertFalse(handler.stop_test.called) self.assertTrue(collector.wasSuccessful()) def test_result_collector_calls_handlers_on_expected_fail(self): # Given handler = mock.Mock(spec=IResultHandlerPlugin) collector = ResultCollector() collector.add_result_handler(handler) start_time = datetime(2015, 12, 23, 8, 14, 12) duration = timedelta(seconds=10) end_time = start_time + duration expected_duration = TestDuration(start_time, end_time) case = _test_cases.TestCase('test_method') # When with mock.patch('haas.result.datetime', new=MockDateTime(start_time)): collector.startTest(case) # Then self.assertTrue(handler.start_test.called) handler.start_test.reset_mock() # Given with self.exc_info(RuntimeError) as exc_info: expected_result = TestResult.from_test_case( case, TestCompletionStatus.expected_failure, expected_duration, exception=exc_info) # When with mock.patch( 'haas.result.datetime', new=MockDateTime(end_time)): collector.addExpectedFailure(case, exc_info) # Then handler.assert_called_once_with(expected_result) self.assertFalse(handler.start_test_run.called) self.assertFalse(handler.stop_test_run.called) self.assertFalse(handler.start_test.called) self.assertFalse(handler.stop_test.called) self.assertTrue(collector.wasSuccessful()) def test_result_collector_calls_handlers_on_unexpected_success(self): # Given handler = mock.Mock(spec=IResultHandlerPlugin) collector = ResultCollector() collector.add_result_handler(handler) start_time = datetime(2015, 12, 23, 8, 14, 12) duration = timedelta(seconds=10) end_time = start_time + duration expected_duration = TestDuration(start_time, end_time) case = _test_cases.TestCase('test_method') # When with mock.patch('haas.result.datetime', new=MockDateTime(start_time)): collector.startTest(case) # Then self.assertTrue(handler.start_test.called) handler.start_test.reset_mock() # Given expected_result = TestResult.from_test_case( case, TestCompletionStatus.unexpected_success, expected_duration) # When with mock.patch('haas.result.datetime', new=MockDateTime(end_time)): collector.addUnexpectedSuccess(case) # Then handler.assert_called_once_with(expected_result) self.assertFalse(handler.start_test_run.called) self.assertFalse(handler.stop_test_run.called) self.assertFalse(handler.start_test.called) self.assertFalse(handler.stop_test.called) self.assertFalse(collector.wasSuccessful()) def test_result_collector_should_stop(self): # Given collector = ResultCollector() # Then self.assertFalse(collector.shouldStop) # When collector.stop() # Then self.assertTrue(collector.shouldStop) def test_multiple_errors_from_one_test(self): # Given collector = ResultCollector() case = _test_case_data.TestWithTwoErrors('test_with_two_errors') start_time = datetime(2016, 4, 12, 8, 17, 32) test_end_time = datetime(2016, 4, 12, 8, 17, 38) tear_down_end_time = datetime(2016, 4, 12, 8, 17, 39) # When with mock.patch( 'haas.result.datetime', new=MockDateTime( [start_time, test_end_time, tear_down_end_time])): case.run(collector) # Then self.assertEqual(len(collector.errors), 2)

36.263736

79

0.663182

1,440

13,200

5.827083

0.104861

0.087594

0.115362

0.110118

0.850912

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0.832678

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0

0.015436

0.249091

13,200

363

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36.363636

0.831114

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1

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false

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0.080508

0

null

0

1

0

1

0

null

0

7

3a01f99953c117fe45a5829d0696fd5dc39fb698

12,552

py

Python

src/university/models.py

Nikhilgupta18/practice-react_django

4226345a10c528308d13629907952e841621badc

[ "MIT" ]

null

src/university/models.py

Nikhilgupta18/practice-react_django

4226345a10c528308d13629907952e841621badc

[ "MIT" ]

11

2020-09-07T15:48:40.000Z

2022-03-08T23:06:16.000Z

src/university/models.py

Nikhilgupta18/practice-react_django

4226345a10c528308d13629907952e841621badc

[ "MIT" ]

null

from django.db import models from account.models import Country from django.contrib import admin grad_streams_list = [ 'Engineering', 'Law', 'Medicine', 'Business', ] grad_streams = ( ('Engineering', 'Engineering'), ('Law', 'Law'), ('Medicine', 'Medicine'), ('Business', 'Business'), ) class GRE(models.Model): verbal = models.IntegerField(default=None, null=True, blank=True) quant = models.IntegerField(default=None, null=True, blank=True) awa = models.FloatField(default=None, null=True, blank=True) def __str__(self): return str(self.verbal) class MCAT(models.Model): old_total = models.IntegerField(default=None, null=True, blank=True) new_total = models.IntegerField(default=None, null=True, blank=True) chemical_physical = models.IntegerField(default=None, null=True, blank=True) critical_analysis = models.IntegerField(default=None, null=True, blank=True) biologic_biochemical = models.IntegerField(default=None, null=True, blank=True) psycho_social_biological = models.IntegerField(default=None, null=True, blank=True) def __str__(self): return str(self.new_total) class University(models.Model): name = models.TextField(default=None) info_link = models.TextField(default=None, null=True) rank = models.IntegerField(default=None, null=True, blank=True) country = models.ForeignKey(Country, on_delete=models.CASCADE) total_students = models.IntegerField(default=None, null=True, blank=True) total_int_students = models.IntegerField(default=None, null=True, blank=True) address = models.TextField(default=None, null=True, blank=True) website = models.TextField(default=None, null=True, blank=True, max_length=500) schools = models.TextField(default=None, null=True, blank=True) uni_type = models.TextField(default=None, null=True, blank=True) grad_school_link = models.TextField(default=None, null=True, blank=True, max_length=500) undergrad_link = models.TextField(default=None, null=True, blank=True, max_length=500) business_link = models.TextField(default=None, null=True, blank=True, max_length=500) med_link = models.TextField(default=None, null=True, blank=True, max_length=500) law_link = models.TextField(default=None, null=True, blank=True, max_length=500) engg_link = models.TextField(default=None, null=True, blank=True, max_length=500) slug = models.SlugField(default=None, null=True, blank=True, max_length=500) logo = models.TextField(default=None, null=True, blank=True, max_length=500) def __str__(self): return self.name class UniversityAdmin(admin.ModelAdmin): search_fields = ('name',) ordering = ('rank',) class BusinessGrad(models.Model): university = models.OneToOneField(University, on_delete=models.CASCADE) enrollment = models.IntegerField(default=None, null=True, blank=True) international = models.FloatField(default=None, null=True, blank=True) male = models.FloatField(default=None, null=True, blank=True) female = models.FloatField(default=None, null=True, blank=True) acceptance_rate_masters = models.FloatField(default=None, null=True, blank=True) # acceptance_rate_phd = models.FloatField(default=None, null=True, blank=True) # us_application_fee = models.IntegerField(default=None, null=True, blank=True) # int_application_fee = models.IntegerField(default=None, null=True, blank=True) # tuition = models.FloatField(default=None, null=True, blank=True) us_deadline = models.DateTimeField(default=None, null=True, blank=True) int_deadline = models.DateTimeField(default=None, null=True, blank=True) rolling = models.BooleanField(default=False) gpa = models.FloatField(default=None, null=True, blank=True) min_toefl_score = models.IntegerField(default=None, null=True, blank=True) mean_toefl_score = models.IntegerField(default=None, null=True, blank=True) min_ielts_score = models.FloatField(default=None, null=True, blank=True) fin_aid_director_name = models.TextField(default=None, null=True, blank=True) fin_aid_director_phone = models.TextField(default=None, null=True, blank=True) fellowships = models.IntegerField(default=None, null=True, blank=True) teaching_assistantships = models.IntegerField(default=None, null=True, blank=True) research_assistantships = models.IntegerField(default=None, null=True, blank=True) # look for room and board living_expenses = models.IntegerField(default=None, null=True, blank=True) # unique to business employed = models.FloatField(default=None, null=True, blank=True) employed_3_months = models.FloatField(default=None, null=True, blank=True) avg_work_ex_months = models.IntegerField(default=None, null=True, blank=True) gmat = models.IntegerField(default=None, null=True, blank=True) gre = models.OneToOneField(GRE, on_delete=models.CASCADE) # avg_salary = models.IntegerField(default=None, null=True, blank=True) def __str__(self): return self.university.name class BusinessGradAdmin(admin.ModelAdmin): search_fields = ('university__name',) ordering = ('university__rank',) class EngineeringGrad(models.Model): university = models.OneToOneField(University, on_delete=models.CASCADE) # enrollment = models.IntegerField(default=None, null=True, blank=True) # us_application_fee = models.IntegerField(default=None, null=True, blank=True) # int_application_fee = models.IntegerField(default=None, null=True, blank=True) # international = models.FloatField(default=None, null=True, blank=True) # male = models.FloatField(default=None, null=True, blank=True) # female = models.FloatField(default=None, null=True, blank=True) # acceptance_rate_masters = models.FloatField(default=None, null=True, blank=True) # acceptance_rate_phd = models.FloatField(default=None, null=True, blank=True) # tuition = models.FloatField(default=None, null=True, blank=True) # us_deadline = models.DateTimeField(default=None, null=True, blank=True) # int_deadline = models.DateTimeField(default=None, null=True, blank=True) # rolling = models.BooleanField(default=False) # gpa = models.FloatField(default=None, null=True, blank=True) # min_toefl_score = models.IntegerField(default=None, null=True, blank=True) # mean_toefl_score = models.IntegerField(default=None, null=True, blank=True) # min_ielts_score = models.FloatField(default=None, null=True, blank=True) # fin_aid_director_name = models.TextField(default=None, null=True, blank=True) # fin_aid_director_phone = models.TextField(default=None, null=True, blank=True) # fellowships = models.IntegerField(default=None, null=True, blank=True) teaching_assistantships = models.IntegerField(default=None, null=True, blank=True) # research_assistantships = models.IntegerField(default=None, null=True, blank=True) # # look for room and board living_expenses = models.IntegerField(default=None, null=True, blank=True) # # unique to engineering gre = models.OneToOneField(GRE, on_delete=models.CASCADE, null=True, blank=True) # def __str__(self): return self.university.name class EngineeringGradAdmin(admin.ModelAdmin): search_fields = ('university__name',) ordering = ('university__rank',) class MedicineGrad(models.Model): university = models.OneToOneField(University, on_delete=models.CASCADE) enrollment = models.IntegerField(default=None, null=True, blank=True) international = models.FloatField(default=None, null=True, blank=True) us_application_fee = models.IntegerField(default=None, null=True, blank=True) # int_application_fee = models.IntegerField(default=None, null=True, blank=True) # acceptance_rate_masters = models.FloatField(default=None, null=True, blank=True) # acceptance_rate_phd = models.FloatField(default=None, null=True, blank=True) # male = models.FloatField(default=None, null=True, blank=True) female = models.FloatField(default=None, null=True, blank=True) tuition = models.FloatField(default=None, null=True, blank=True) us_deadline = models.DateTimeField(default=None, null=True, blank=True) int_deadline = models.DateTimeField(default=None, null=True, blank=True) rolling = models.BooleanField(default=False) gpa = models.FloatField(default=None, null=True, blank=True) # fin_aid_director_name = models.TextField(default=None, null=True, blank=True) fin_aid_director_phone = models.TextField(default=None, null=True, blank=True) students_receiving_aid = models.FloatField(default=None, null=True, blank=True) # look for room and board living_expenses = models.IntegerField(default=None, null=True, blank=True) # unique to medicine mcat = models.OneToOneField(MCAT, on_delete=models.CASCADE) def __str__(self): return self.university.name class MedicineGradAdmin(admin.ModelAdmin): search_fields = ('university__name',) ordering = ('university__rank',) class LawGrad(models.Model): university = models.OneToOneField(University, on_delete=models.CASCADE) enrollment = models.IntegerField(default=None, null=True, blank=True) international = models.FloatField(default=None, null=True, blank=True) us_application_fee = models.IntegerField(default=None, null=True, blank=True) # int_application_fee = models.IntegerField(default=None, null=True, blank=True) # male = models.FloatField(default=None, null=True, blank=True) female = models.FloatField(default=None, null=True, blank=True) acceptance_rate = models.FloatField(default=None, null=True, blank=True) tuition = models.FloatField(default=None, null=True, blank=True) us_deadline = models.DateTimeField(default=None, null=True, blank=True) int_deadline = models.DateTimeField(default=None, null=True, blank=True) rolling = models.BooleanField(default=False) int_rolling = models.BooleanField(default=False) employed = models.FloatField(default=None, null=True, blank=True) fin_aid_director_name = models.TextField(default=None, null=True, blank=True) fin_aid_director_phone = models.TextField(default=None, null=True, blank=True) students_receiving_aid = models.FloatField(default=None, null=True, blank=True) gpa = models.FloatField(default=None, null=True, blank=True) # # look for room and board living_expenses = models.IntegerField(default=None, null=True, blank=True) # unique to law # look for median lsat employed = models.FloatField(default=None, null=True, blank=True) bar_passage_rate = models.FloatField(default=None, null=True, blank=True) median_grant = models.IntegerField(default=None, null=True, blank=True) lsat_score = models.IntegerField(default=None, null=True, blank=True) median_public_salary = models.IntegerField(default=None, null=True, blank=True) median_private_salary = models.IntegerField(default=None, null=True, blank=True) def __str__(self): return self.university.name class LawGradAdmin(admin.ModelAdmin): search_fields = ('university__name',) ordering = ('university__rank',)

55.539823

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1,430

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0.1

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0

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12,552

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0.005714

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null

0

1

0

null

0

1

0

9

3a511fa9328d7a9521bf3228806419a4a51edaf6

25,003

py

Python

tests/test_forward_backward_tracking.py

Megscammell/Estimating-Direction

466a6e93b0048510690ac6e4f73ca2dfd3a4d8da

[ "MIT" ]

null

tests/test_forward_backward_tracking.py

Megscammell/Estimating-Direction

466a6e93b0048510690ac6e4f73ca2dfd3a4d8da

[ "MIT" ]

null

tests/test_forward_backward_tracking.py

Megscammell/Estimating-Direction

466a6e93b0048510690ac6e4f73ca2dfd3a4d8da

[ "MIT" ]

null

import numpy as np import est_dir def test_1(): """ Test for compute_forward() - check for flag=True. """ np.random.seed(90) m = 10 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.random.uniform(0, 20, (m, )) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 5) region = 1 step = 0.17741338024633116 forward_tol = 1000000 no_vars = 10 beta, func_evals = est_dir.compute_direction_LS(m, centre_point, f, func_args, no_vars, region) assert(func_evals == 16) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - step * beta, *func_args) track = np.array([[0, f_old], [step, f_new]]) track, count_func_evals, flag = (est_dir.compute_forward (step, const_forward, forward_tol, track, centre_point, beta, f, func_args)) assert(f_old > f_new) assert(count_func_evals == len(track) - 2) assert(flag == True) assert(track[0][0] == 0) for j in range(1, len(track)): assert(track[j][0] == step) step = step * const_forward if j < len(track) - 1: assert(track[j][1] < track[j - 1][1]) else: assert(track[j][1] > track[j - 1][1]) def test_2(): """ Test for compute_forward() - check that when flag=False, track is returned. """ np.random.seed(90) m = 2 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.array([20, 20]) matrix = np.identity(m) func_args = (minimizer, matrix, 0, 0.0000001) step = 1 forward_tol = 100000 beta = np.array([0.0001, 0.0001]) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - step * beta, *func_args) track = np.array([[0, f_old], [step, f_new]]) test_track, count_func_evals, flag = (est_dir.compute_forward (step, const_forward, forward_tol, track, centre_point, beta, f, func_args)) assert(f_old > f_new) assert(flag == False) assert(count_func_evals > 0) for j in range(len(test_track)): assert(test_track[j, 0] < forward_tol) if j >= 1: assert(test_track[j, 1] < test_track[j - 1, 1]) assert(test_track[j, 0] * const_forward > forward_tol) def test_3(): """ Test for forward_tracking - flag=True and f_new >= track[-2][1] """ np.random.seed(90) m = 10 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.random.uniform(0, 20, (m, )) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 5) step = 0.05 forward_tol = 1000000 no_vars = 10 region = 1 beta, func_evals = est_dir.compute_direction_LS(m, centre_point, f, func_args, no_vars, region) assert(func_evals == 16) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - step * beta, *func_args) assert(f_old > f_new) track, total_func_evals, flag = (est_dir.forward_tracking (centre_point, step, f_old, f_new, beta, const_forward, forward_tol, f, func_args)) assert(len(track) - 1 == total_func_evals) assert(np.round(track[0][0], 3) == np.round(0, 3)) assert(np.round(track[1][0], 3) == np.round(step, 3)) assert(flag == True) for j in range(2, len(track)): step = step * 2 assert(np.round(track[j][0], 3) == step) if j == (len(track) - 1): assert(track[j][1] > track[j - 1][1]) else: assert(track[j - 1][1] > track[j][1]) def test_4(): """ Test for forward_tracking - forward_tol not met and f_new < track[-2][1]. """ np.random.seed(25) m = 2 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.array([25, 25]) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 10) t = 0.005 forward_tol = 10000 beta = np.array([1, 1]) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - t * beta, *func_args) assert(f_old > f_new) track, total_func_evals, flag = (est_dir.forward_tracking (centre_point, t, f_old, f_new, beta, const_forward, forward_tol, f, func_args)) assert(np.round(track[0][0], 3) == np.round(0, 3)) assert(np.round(track[1][0], 3) == np.round(t, 3)) assert(total_func_evals > 0) assert(flag == True) for j in range(1, len(track)): if j == (len(track) - 1): assert(track[j][1] > track[j-1][1]) else: assert(track[j-1][1] > track[j][1]) def test_5(): """ Test for forward_tracking - forward_tol not met initially, f_new < track[-2][1] and eventually forward_tol is met. """ np.random.seed(25) m = 2 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.array([25, 25]) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 10) t = 0.005 forward_tol = 10 beta = np.array([1, 1]) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - t * beta, *func_args) assert(f_old > f_new) track, total_func_evals, flag = (est_dir.forward_tracking (centre_point, t, f_old, f_new, beta, const_forward, forward_tol, f, func_args)) assert(np.round(track[0][0], 3) == np.round(0, 3)) assert(np.round(track[1][0], 3) == np.round(t, 3)) assert(total_func_evals > 0) assert(flag == False) for j in range(1, len(track)): assert(track[j-1][1] > track[j][1]) def test_6(): """ Test for forward_tracking - forward_tol met. """ np.random.seed(90) m = 2 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.array([20, 20]) matrix = np.identity(m) func_args = (minimizer, matrix, 0, 0.0000001) step = 0.5 forward_tol = 1.5 beta = np.array([0.0001, 0.0001]) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - step * beta, *func_args) track, total_func_evals, flag = (est_dir.forward_tracking (centre_point, step, f_old, f_new, beta, const_forward, forward_tol, f, func_args)) assert(flag == False) assert(track[2][1] < track[1][1] < track[0][1]) assert(total_func_evals == 1) def test_7(): """ Test for compute_backward - check that when flag=True, track is updated. """ np.random.seed(90) m = 100 f = est_dir.quad_f_noise const_back = 0.5 minimizer = np.random.uniform(0, 1, (m, )) centre_point = np.random.uniform(0, 1, (m, )) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 0.1) step = 0.001 back_tol = 0.000001 no_vars = 10 region = 1 beta, func_evals = est_dir.compute_direction_LS(m, centre_point, f, func_args, no_vars, region) assert(func_evals == 16) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - step * beta, *func_args) assert(f_old > f_new) track = np.array([[0, f_old], [step, f_new]]) track, total_func_evals, flag = (est_dir.compute_backward (step, const_back, back_tol, track, centre_point, beta, f, func_args)) assert(total_func_evals == len(track) - 2) assert(flag == True) assert(track[0][0] == 0) for j in range(1, len(track)): assert(track[j][0] == step) step = step * const_back if j < len(track) - 1: assert(track[j][1] < track[j-1][1]) else: assert(track[j][1] > track[j-1][1]) def test_8(): """ Test for compute_backward - check that when flag=False, original track is returned. """ np.random.seed(90) m = 100 f = est_dir.quad_f_noise const_back = 0.5 minimizer = np.random.uniform(0, 1, (m, )) centre_point = np.random.uniform(0, 1, (m, )) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 0.1) step = 0.1 back_tol = 0.075 no_vars = 10 region = 1 beta, func_evals = est_dir.compute_direction_LS(m, centre_point, f, func_args, no_vars, region) assert(func_evals == 16) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - step * beta, *func_args) assert(f_old > f_new) track = np.array([[0, f_old], [step, f_new]]) track_new, total_func_evals, flag = (est_dir.compute_backward (step, const_back, back_tol, track, centre_point, beta, f, func_args)) assert(np.all(track == track_new)) assert(flag == False) assert(total_func_evals == 0) def test_9(): """ Test for backward_tracking - back_tol is met. """ np.random.seed(32964) m = 2 f = est_dir.quad_f_noise const_back = 0.5 minimizer = np.ones((m,)) centre_point = np.array([25, 25]) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 5) t = 1 back_tol = 1 beta = np.array([200, 200]) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - t * beta, *func_args) assert(f_old < f_new) track, count_func_evals = (est_dir.backward_tracking (centre_point, t, f_old, f_new, beta, const_back, back_tol, f, func_args)) assert(track.shape == (2, m)) assert(track[0][0] == 0) assert(track[1][0] == t) assert(track[1][0] < track[1][1]) assert(count_func_evals == 0) def test_10(): """ Test for backward_tracking - back tol is not met and f_new > track[-2][1]. """ np.random.seed(32964) n = 6 m = 2 f = est_dir.quad_f_noise const_back = 0.5 minimizer = np.ones((m,)) centre_point = np.random.uniform(0, 10, (m,)) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 5) t = 97.688932389756 back_tol = 0.000000001 no_vars = m region = 1 beta, func_evals = est_dir.compute_direction_XY(n, m, centre_point, f, func_args, no_vars, region) assert(func_evals == n) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - t * beta, *func_args) assert(f_old < f_new) track, total_func_evals = (est_dir.backward_tracking (centre_point, t, f_old, f_new, beta, const_back, back_tol, f, func_args)) assert(np.round(track[0][0], 3) == np.round(0, 3)) assert(np.round(track[1][0], 3) == np.round(t, 3)) assert(total_func_evals > 0) for j in range(1, len(track)): assert(np.round(track[j][0], 4) == np.round(t, 4)) t = t / 2 assert(np.min(track[:, 1]) < track[1][0]) def test_11(): """ Test for backward_tracking - back tol is not met and f_new < track[-2][1] """ np.random.seed(329998) n = 20 m = 100 f = est_dir.quad_f_noise const_back = 0.5 minimizer = np.random.uniform(0, 10, (m,)) centre_point = np.random.uniform(0, 10, (m,)) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 1000) t = 17001.993794080016 back_tol = 0.000000001 no_vars = m region = 1 beta, func_evals = est_dir.compute_direction_XY(n, m, centre_point, f, func_args, no_vars, region) assert(func_evals == n) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - t * beta, *func_args) assert(f_old < f_new) track, total_func_evals = (est_dir.backward_tracking (centre_point, t, f_old, f_new, beta, const_back, back_tol, f, func_args)) assert(np.round(track[0][0], 3) == np.round(0, 3)) assert(np.round(track[1][0], 3) == np.round(t, 3)) assert(total_func_evals > 0) assert(np.min(track[:, 1]) < track[:, 1][0]) def test_12(): """ Test for backward_tracking - back tol is not initially met, f_new < track[-2][1] and eventaully back tol is met. """ np.random.seed(329998) n = 20 m = 100 f = est_dir.quad_f_noise const_back = 0.5 minimizer = np.random.uniform(0, 10, (m,)) centre_point = np.random.uniform(0, 10, (m,)) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 1000) t = 17001.993794080016 back_tol = 1 no_vars = m region = 1 beta, func_evals = est_dir.compute_direction_XY(n, m, centre_point, f, func_args, no_vars, region) assert(func_evals == n) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - t * beta, *func_args) assert(f_old < f_new) track, total_func_evals = (est_dir.backward_tracking (centre_point, t, f_old, f_new, beta, const_back, back_tol, f, func_args)) assert(np.round(track[0][0], 3) == np.round(0, 3)) assert(np.round(track[1][0], 3) == np.round(t, 3)) assert(total_func_evals > 0) assert(np.min(track[:, 1]) < track[:, 1][0]) def test_13(): """Test for compute_coeffs""" track_y = np.array([100, 200, 50]) track_t = np.array([0, 1, 0.5]) design_matrix_step = np.vstack((np.repeat(track_y[0], len(track_t)), np.array(track_t), np.array(track_t) ** 2)).T assert(np.all(design_matrix_step[0, :] == np.array([100, 0, 0]))) assert(np.all(design_matrix_step[1, :] == np.array([100, 1, 1]))) assert(np.all(design_matrix_step[2, :] == np.array([100, 0.5, 0.25]))) OLS = (np.linalg.inv(design_matrix_step.T @ design_matrix_step) @ design_matrix_step.T @ track_y) check = -OLS[1] / (2 * OLS[2]) opt_t = est_dir.compute_coeffs(track_y, track_t) assert(np.all(np.round(check, 5) == np.round(opt_t, 5))) def test_14(): """ Test for combine_tracking - check that correct step size is returned when forward_tol is met. """ np.random.seed(90) m = 2 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.array([20, 20]) matrix = np.identity(m) func_args = (minimizer, matrix, 0, 0.0000001) step = 1 forward_tol = 100000 back_tol = 0.0000001 beta = np.array([0.0001, 0.0001]) f_old = f(np.copy(centre_point), *func_args) upd_point, func_val, total_func_evals = (est_dir.combine_tracking (centre_point, f_old, beta, step, const_back, back_tol, const_forward, forward_tol, f, func_args)) assert(upd_point.shape == (m, )) assert(type(total_func_evals) is int) assert(func_val < f_old) def test_15(): """ Test for combine_tracking - check that correct step size is returned, when forward_tol is not met. """ np.random.seed(3291) m = 2 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.array([25, 25]) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 5) step = 0.005 forward_tol = 10000 back_tol = 0.0000001 beta = np.array([1, 1]) f_old = f(np.copy(centre_point), *func_args) upd_point, func_val, total_func_evals = (est_dir.combine_tracking (centre_point, f_old, beta, step, const_back, back_tol, const_forward, forward_tol, f, func_args)) assert(upd_point.shape == (m, )) assert(type(total_func_evals) is int) assert(func_val < f_old) def test_16(): """ Test for combine_tracking - check that correct step size is returned, when back_tol is met. """ np.random.seed(32964) m = 2 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.array([25, 25]) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 5) step = 1 back_tol = 1 forward_tol = 100000 beta = np.array([200, 200]) f_old = f(np.copy(centre_point), *func_args) upd_point, func_val, total_func_evals = (est_dir.combine_tracking (centre_point, f_old, beta, step, const_back, back_tol, const_forward, forward_tol, f, func_args)) assert(upd_point.shape == (m, )) assert(type(total_func_evals) is int) assert(func_val == f_old) def test_17(): """ Test for combine_tracking - check that correct step size is returned, when back_tol is not met. """ np.random.seed(32964) n = 6 m = 2 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.random.uniform(0, 10, (m,)) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 5) step = 10 forward_tol = 1000000 back_tol = 0.000000001 no_vars = m region = 1 beta, func_evals = est_dir.compute_direction_XY(n, m, centre_point, f, func_args, no_vars, region) assert(func_evals == n) f_old = f(np.copy(centre_point), *func_args) upd_point, func_val, total_func_evals = (est_dir.combine_tracking (centre_point, f_old, beta, step, const_back, back_tol, const_forward, forward_tol, f, func_args)) assert(upd_point.shape == (m, )) assert(type(total_func_evals) is int) assert(func_val < f_old) def test_18(): """Test for arrange_track_y_t""" track = np.array([[0, 100], [1, 80], [2, 160], [4, 40], [8, 20], [16, 90]]) track_method = 'Forward' track_y, track_t = est_dir.arrange_track_y_t(track, track_method) assert(np.all(track_y == np.array([100, 20, 90]))) assert(np.all(track_t == np.array([0, 8, 16]))) def test_19(): """Test for arrange_track_y_t""" track = np.array([[0, 100], [1, 80], [2, 70], [4, 90]]) track_method = 'Forward' track_y, track_t = est_dir.arrange_track_y_t(track, track_method) assert(np.all(track_y == np.array([100, 70, 90]))) assert(np.all(track_t == np.array([0, 2, 4]))) def test_20(): """Test for arrange_track_y_t""" track = np.array([[0, 100], [1, 120], [0.5, 110], [0.25, 90]]) track_method = 'Backward' track_y, track_t = est_dir.arrange_track_y_t(track, track_method) assert(np.all(track_y == np.array([100, 90, 110]))) assert(np.all(track_t == np.array([0, 0.25, 0.5]))) def test_21(): """Test for arrange_track_y_t""" track = np.array([[0, 100], [1, 120], [0.5, 80]]) track_method = 'Backward' track_y, track_t = est_dir.arrange_track_y_t(track, track_method) assert(np.all(track_y == np.array([100, 80, 120]))) assert(np.all(track_t == np.array([0, 0.5, 1]))) def test_22(): """Test for check_func_val_coeffs when func_val > track_y[1].""" np.random.seed(90) m = 10 f = est_dir.quad_f_noise minimizer = np.ones((m,)) centre_point = np.random.uniform(0, 20, (m, )) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 60) step = 1.8251102718712913 no_vars = 10 region = 1 beta, func_evals = est_dir.compute_direction_LS(m, centre_point, f, func_args, no_vars, region) assert(func_evals == 16) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - step * beta, *func_args) assert(f_old > f_new) track = np.array([[0, 100], [1, 160], [2, 40], [4, 90]]) track_method = 'Forward' upd_point, func_val = (est_dir.check_func_val_coeffs (track, track_method, centre_point, beta, f, func_args)) assert(upd_point.shape == (m, )) assert(func_val == 40) def test_23(): """Test for check_func_val_coeffs when func_val <= track_y[1].""" np.random.seed(91) m = 10 f = est_dir.quad_f_noise const_back = 0.5 const_forward = (1 / const_back) minimizer = np.ones((m,)) centre_point = np.random.uniform(0, 20, (m, )) matrix = est_dir.quad_func_params(1, 10, m) func_args = (minimizer, matrix, 0, 5) step = 0.01 forward_tol = 1000000 no_vars = 10 region = 1 beta, func_evals = est_dir.compute_direction_LS(m, centre_point, f, func_args, no_vars, region) assert(func_evals == 16) f_old = f(np.copy(centre_point), *func_args) f_new = f(np.copy(centre_point) - step * beta, *func_args) assert(f_old > f_new) track, total_func_evals, flag = (est_dir.forward_tracking (centre_point, step, f_old, f_new, beta, const_forward, forward_tol, f, func_args)) assert(flag == True) assert(total_func_evals > 0) track_method = 'Forward' upd_point, func_val = (est_dir.check_func_val_coeffs (track, track_method, centre_point, beta, f, func_args)) assert(upd_point.shape == (m, )) assert(np.all(func_val <= track[:, 1]))

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Python

Framework/utilities/logger/__init__.py

jonreding2010/MAQS.Python

43f73784fa9f0ab46545b0275fa8de38d86c76ed

[ "MIT" ]

null

Framework/utilities/logger/__init__.py

jonreding2010/MAQS.Python

43f73784fa9f0ab46545b0275fa8de38d86c76ed

[ "MIT" ]

null

Framework/utilities/logger/__init__.py

jonreding2010/MAQS.Python

43f73784fa9f0ab46545b0275fa8de38d86c76ed

[ "MIT" ]

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from Framework.utilities.logger import LoggingEnabled from Framework.utilities.logger import MessageType from Framework.utilities.logger import TestResultType

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Python

python/veles/tests/data/test_repack.py

pombredanne/veles

e65de5a7c268129acffcdb03034efd8d256d025c

[ "Apache-2.0" ]

918

2017-01-16T17:31:25.000Z

2022-03-27T07:10:31.000Z

python/veles/tests/data/test_repack.py

pombredanne/veles

e65de5a7c268129acffcdb03034efd8d256d025c

[ "Apache-2.0" ]

193

2017-01-17T13:56:10.000Z

2020-09-01T08:29:48.000Z

python/veles/tests/data/test_repack.py

pombredanne/veles

e65de5a7c268129acffcdb03034efd8d256d025c

[ "Apache-2.0" ]

112

2017-02-01T01:05:57.000Z

2022-03-29T07:21:12.000Z

# Copyright 2017 CodiLime # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import unittest from veles.data.bindata import BinData from veles.data.repack import Endian, Repacker class TestRepacker(unittest.TestCase): def test_endian(self): self.assertNotEqual(Endian.LITTLE, Endian.BIG) def test_simple_copy(self): r = Repacker(endian=Endian.LITTLE, from_width=8, to_width=8) self.assertEqual(r.repack_unit, 8) self.assertEqual(r.repack_size(num_elements=2), 2) self.assertEqual(r.repackable_size(from_size=2), 2) a = BinData(8, [1, 2, 3, 4]) b = r.repack(a, start=1, num_elements=2) self.assertEqual(b, BinData(8, [2, 3])) self.assertEqual(r.repack(a), a) def test_gather_8to16_little(self): r = Repacker(endian=Endian.LITTLE, from_width=8, to_width=16) self.assertEqual(r.repack_unit, 16) self.assertEqual(r.repack_size(2), 4) self.assertEqual(r.repackable_size(2), 1) self.assertEqual(r.repackable_size(3), 1) self.assertEqual(r.repackable_size(4), 2) a = BinData(8, [1, 2, 3, 4, 5, 6]) b = r.repack(a, start=1, num_elements=2) self.assertEqual(b, BinData.from_spaced_hex(16, '0302 0504')) c = r.repack(a, start=1) self.assertEqual(b, c) d = r.repack(a) self.assertEqual(d, BinData.from_spaced_hex(16, '0201 0403 0605')) def test_gather_8to16_big(self): r = Repacker(endian=Endian.BIG, from_width=8, to_width=16) self.assertEqual(r.repack_unit, 16) self.assertEqual(r.repack_size(2), 4) self.assertEqual(r.repackable_size(2), 1) self.assertEqual(r.repackable_size(3), 1) self.assertEqual(r.repackable_size(4), 2) a = BinData(8, [1, 2, 3, 4, 5, 6]) b = r.repack(a, start=1, num_elements=2) self.assertEqual(b, BinData.from_spaced_hex(16, '0203 0405')) c = r.repack(a, start=1) self.assertEqual(b, c) d = r.repack(a) self.assertEqual(d, BinData.from_spaced_hex(16, '0102 0304 0506')) def test_mash_8to12_little(self): r = Repacker(Endian.LITTLE, 8, 12) self.assertEqual(r.repack_unit, 24) self.assertEqual(r.repack_size(1), 2) self.assertEqual(r.repack_size(2), 3) self.assertEqual(r.repackable_size(1), 0) self.assertEqual(r.repackable_size(2), 1) self.assertEqual(r.repackable_size(3), 2) self.assertEqual(r.repackable_size(4), 2) a = BinData.from_spaced_hex(8, '12 34 56 78 9a') b = r.repack(a, 1, 2) self.assertEqual(b, BinData.from_spaced_hex(12, '634 785')) c = r.repack(a, 1) self.assertEqual(b, c) d = r.repack(a) self.assertEqual(d, BinData.from_spaced_hex(12, '412 563 a78')) def test_mash_8to12_big(self): r = Repacker(Endian.BIG, 8, 12) self.assertEqual(r.repack_unit, 24) self.assertEqual(r.repack_size(1), 2) self.assertEqual(r.repack_size(2), 3) self.assertEqual(r.repackable_size(1), 0) self.assertEqual(r.repackable_size(2), 1) self.assertEqual(r.repackable_size(3), 2) self.assertEqual(r.repackable_size(4), 2) a = BinData.from_spaced_hex(8, '12 34 56 78 9a') b = r.repack(a, 1, 2) self.assertEqual(b, BinData.from_spaced_hex(12, '345 678')) c = r.repack(a, 1) self.assertEqual(b, c) d = r.repack(a) self.assertEqual(d, BinData.from_spaced_hex(12, '123 456 789')) def test_split_8to1_little(self): r = Repacker(Endian.LITTLE, 8, 1) self.assertEqual(r.repack_unit, 8) self.assertEqual(r.repack_size(12), 2) self.assertEqual(r.repack_size(8), 1) self.assertEqual(r.repack_size(9), 2) self.assertEqual(r.repack_size(17), 3) self.assertEqual(r.repackable_size(1), 8) a = BinData.from_spaced_hex(8, '12 34 56') b = r.repack(a, 1, 12) c = BinData.from_spaced_hex(1, ' '.join(format(0x634, '012b')[::-1])) self.assertEqual(b, c) def test_split_8to1_big(self): r = Repacker(Endian.BIG, 8, 1) self.assertEqual(r.repack_unit, 8) self.assertEqual(r.repack_size(12), 2) self.assertEqual(r.repack_size(8), 1) self.assertEqual(r.repack_size(9), 2) self.assertEqual(r.repack_size(17), 3) self.assertEqual(r.repackable_size(1), 8) a = BinData.from_spaced_hex(8, '12 34 56') b = r.repack(a, 1, 12) c = BinData.from_spaced_hex(1, ' '.join(format(0x345, '012b'))) self.assertEqual(b, c) def test_split_60to20_little(self): r = Repacker(Endian.LITTLE, 60, 20) self.assertEqual(r.repack_unit, 60) self.assertEqual(r.repack_size(1), 1) self.assertEqual(r.repack_size(2), 1) self.assertEqual(r.repack_size(3), 1) self.assertEqual(r.repack_size(4), 2) self.assertEqual(r.repackable_size(1), 3) a = BinData(60, [0xfedcba987654321]) b = r.repack(a) self.assertEqual(b, BinData.from_spaced_hex(20, '54321 a9876 fedcb')) def test_split_60to20_big(self): r = Repacker(Endian.BIG, 60, 20) self.assertEqual(r.repack_unit, 60) self.assertEqual(r.repack_size(1), 1) self.assertEqual(r.repack_size(2), 1) self.assertEqual(r.repack_size(3), 1) self.assertEqual(r.repack_size(4), 2) self.assertEqual(r.repackable_size(1), 3) a = BinData(60, [0xfedcba987654321]) b = r.repack(a) self.assertEqual(b, BinData.from_spaced_hex(20, 'fedcb a9876 54321')) def test_split_16to8_little(self): r = Repacker(Endian.LITTLE, 16, 8) self.assertEqual(r.repack_unit, 16) self.assertEqual(r.repack_size(3), 2) self.assertEqual(r.repackable_size(3), 6) a = BinData(16, [0x1234, 0x5678, 0x9abc]) b = r.repack(a, 1, 3) self.assertEqual(b, BinData.from_spaced_hex(8, '78 56 bc')) def test_split_16to8_big(self): r = Repacker(Endian.BIG, 16, 8) self.assertEqual(r.repack_unit, 16) self.assertEqual(r.repack_size(3), 2) self.assertEqual(r.repackable_size(3), 6) a = BinData(16, [0x1234, 0x5678, 0x9abc]) b = r.repack(a, 1, 3) self.assertEqual(b, BinData.from_spaced_hex(8, '56 78 9a')) def test_padded_8to23_left_little(self): r = Repacker(Endian.LITTLE, 8, 23, high_pad=9) self.assertEqual(r.repack_unit, 32) self.assertEqual(r.repack_size(2), 8) self.assertEqual(r.repackable_size(7), 1) self.assertEqual(r.repackable_size(8), 2) a = BinData.from_spaced_hex(8, '11 22 33 44 55 66 77 88 99 aa') b = r.repack(a, 1, 2) self.assertEqual(b, BinData.from_spaced_hex(23, '443322 087766')) def test_padded_8to23_right_little(self): r = Repacker(Endian.LITTLE, 8, 23, low_pad=9) self.assertEqual(r.repack_unit, 32) self.assertEqual(r.repack_size(2), 8) self.assertEqual(r.repackable_size(7), 1) self.assertEqual(r.repackable_size(8), 2) a = BinData.from_spaced_hex(8, '11 22 33 44 55 66 77 88 99 aa') b = r.repack(a, 1, 2) self.assertEqual(b, BinData.from_spaced_hex(23, '2aa219 4cc43b')) def test_padded_8to23_mixed_little(self): r = Repacker(Endian.LITTLE, 8, 23, low_pad=8, high_pad=1) self.assertEqual(r.repack_unit, 32) self.assertEqual(r.repack_size(2), 8) self.assertEqual(r.repackable_size(7), 1) self.assertEqual(r.repackable_size(8), 2) a = BinData.from_spaced_hex(8, '11 22 33 44 55 66 77 88 99 aa') b = r.repack(a, 1, 2) self.assertEqual(b, BinData.from_spaced_hex(23, '554433 198877')) def test_padded_8to23_left_big(self): r = Repacker(Endian.BIG, 8, 23, high_pad=9) self.assertEqual(r.repack_unit, 32) self.assertEqual(r.repack_size(2), 8) self.assertEqual(r.repackable_size(7), 1) self.assertEqual(r.repackable_size(8), 2) a = BinData.from_spaced_hex(8, '11 22 33 44 55 66 77 88 99 aa') b = r.repack(a, 1, 2) self.assertEqual(b, BinData.from_spaced_hex(23, '334455 778899')) def test_padded_8to23_right_big(self): r = Repacker(Endian.BIG, 8, 23, low_pad=9) self.assertEqual(r.repack_unit, 32) self.assertEqual(r.repack_size(2), 8) self.assertEqual(r.repackable_size(7), 1) self.assertEqual(r.repackable_size(8), 2) a = BinData.from_spaced_hex(8, '11 22 33 44 55 66 77 88 99 aa') b = r.repack(a, 1, 2) self.assertEqual(b, BinData.from_spaced_hex(23, '1119a2 333bc4')) def test_padded_8to23_mixed_big(self): r = Repacker(Endian.BIG, 8, 23, low_pad=8, high_pad=1) self.assertEqual(r.repack_unit, 32) self.assertEqual(r.repack_size(2), 8) self.assertEqual(r.repackable_size(7), 1) self.assertEqual(r.repackable_size(8), 2) a = BinData.from_spaced_hex(8, '11 22 33 44 55 66 77 88 99 aa') b = r.repack(a, 1, 2) self.assertEqual(b, BinData.from_spaced_hex(23, '223344 667788'))

42.814159

77

0.637247

1,492

9,676

3.987265

0.124665

0.269793

0.220541

0.181207

0.830224

0.798454

0.774248

0.745672

0.733905

0

0.099987

0.228917

9,676

225

78

43.004444

0.69736

0.055912

0

0.659686

0

0.048021

0

0.008771

0

0.565445

1

0.094241

false

0

0.015707

0

0.115183

0

null

1

0

null

0

1

0

10

3ae5cf37eea91bb44926c87f063230fb3d523036

901

py

Python

Questionnaire2/Questionnaire/Api/decorators.py

riverstation/project-all

c56f1879e1303d561e95a3ff3a70f94fb5fa2191

[ "Apache-2.0" ]

2

2020-11-09T06:20:45.000Z

2021-05-10T07:03:35.000Z

Questionnaire2/Questionnaire/Api/decorators.py

riverstation/project-all

c56f1879e1303d561e95a3ff3a70f94fb5fa2191

[ "Apache-2.0" ]

null

Questionnaire2/Questionnaire/Api/decorators.py

riverstation/project-all

c56f1879e1303d561e95a3ff3a70f94fb5fa2191

[ "Apache-2.0" ]

1

2020-02-21T09:37:01.000Z

import json from Api.utils import * def admin_required(func): def _wrapper(self, request, *args, **kwargs): if request.user.is_authenticated and hasattr(request.user, 'admin'): return func(self, request, *args, **kwargs) else: return not_authenticated() return _wrapper def customer_required(func): def _wrapper(self, request, *args, **kwargs): if request.user.is_authenticated and hasattr(request.user, 'customer'): return func(self, request, *args, **kwargs) else: return not_authenticated() return _wrapper def userinfo_required(func): def _wrapper(self, request, *args, **kwargs): if request.user.is_authenticated and hasattr(request.user, 'userinfo'): return func(self, request, *args, **kwargs) else: return not_authenticated() return _wrapper

29.064516

79

0.643729

102

901

5.539216

0.245098

0.116814

0.159292

0.223009

0.870796

0

0.247503

901

30

80

30.033333

0.833333

0

0.652174

0

0.023307

0

1

0.26087

false

0

0.086957

0

0.73913

0

null

0

1

0

null

0

1

0

1

0

9

3aec685a85da369122c266e967f2b26782bfff04

14,551

py

Python

openprocurement/auctions/appraisal/tests/blanks/item_blanks.py

bdmbdsm/openprocurement.auctions.appraisal

563e5e6180b03118ed9eb36a9141c7a6408669de

[ "Apache-2.0" ]

null

openprocurement/auctions/appraisal/tests/blanks/item_blanks.py

bdmbdsm/openprocurement.auctions.appraisal

563e5e6180b03118ed9eb36a9141c7a6408669de

[ "Apache-2.0" ]

3

2018-12-07T13:13:42.000Z

2020-01-06T19:08:23.000Z

openprocurement/auctions/appraisal/tests/blanks/item_blanks.py

bdmbdsm/openprocurement.auctions.appraisal

563e5e6180b03118ed9eb36a9141c7a6408669de

[ "Apache-2.0" ]

6

2018-12-05T16:17:46.000Z

2019-06-28T13:10:48.000Z

# -*- coding: utf-8 -*- from uuid import uuid4 from copy import deepcopy from datetime import timedelta from openprocurement.auctions.core.utils import calculate_business_date from openprocurement.auctions.appraisal.models import AppraisalAuction def check_items_listing(self): self.app.authorization = ('Basic', ('broker', '')) data = self.initial_data.copy() # Auction creation response = self.app.post_json('/auctions', {'data': data}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') auction_id = response.json['data']['id'] owner_token = response.json['access']['token'] access_header = {'X-Access-Token': str(owner_token)} self.app.patch_json( '/auctions/{}'.format(auction_id), {'data': {'status': 'active.tendering'}}, headers=access_header ) response = self.app.get( '/auctions/{}/items'.format(auction_id), ) self.assertEqual(len(response.json['data']), len(data['items'])) # Create one item and check listing response = self.app.post_json( '/auctions/{}/items'.format(auction_id), {'data': self.initial_item_data}, headers=access_header ) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') response = self.app.get( '/auctions/{}/items'.format(auction_id), ) self.assertEqual(len(response.json['data']), len(data['items']) + 1) def check_item_creation(self): self.app.authorization = ('Basic', ('broker', '')) data = self.initial_data.copy() # Auction creation response = self.app.post_json('/auctions', {'data': data}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') auction_id = response.json['data']['id'] owner_token = response.json['access']['token'] access_header = {'X-Access-Token': str(owner_token)} self.app.patch_json( '/auctions/{}'.format(auction_id), {'data': {'status': 'active.tendering'}}, headers=access_header ) # Item creation response = self.app.post_json( '/auctions/{}/items'.format(auction_id), {'data': self.initial_item_data}, headers=access_header ) item_id = response.json['data']['id'] self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') self.assertEqual(self.initial_item_data['id'], response.json['data']['id']) self.assertIn(item_id, response.headers['Location']) self.assertEqual(self.initial_item_data['description'], response.json["data"]["description"]) self.assertEqual(self.initial_item_data['quantity'], response.json["data"]["quantity"]) self.assertEqual(self.initial_item_data['address'], response.json["data"]["address"]) # Get item response = self.app.get('/auctions/{}/items/{}'.format(auction_id, item_id)) self.assertEqual(item_id, response.json['data']['id']) self.assertEqual(self.initial_item_data['description'], response.json["data"]["description"]) self.assertEqual(self.initial_item_data['quantity'], response.json["data"]["quantity"]) self.assertEqual(self.initial_item_data['address'], response.json["data"]["address"]) def check_item_patch(self): self.app.authorization = ('Basic', ('broker', '')) data = self.initial_data.copy() # Auction creation response = self.app.post_json('/auctions', {'data': data}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') auction_id = response.json['data']['id'] owner_token = response.json['access']['token'] access_header = {'X-Access-Token': str(owner_token)} self.app.patch_json( '/auctions/{}'.format(auction_id), {'data': {'status': 'active.tendering'}}, headers=access_header ) # Item creation response = self.app.post_json( '/auctions/{}/items'.format(auction_id), {'data': self.initial_item_data}, headers=access_header ) item_id = response.json['data']['id'] self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') self.assertEqual(self.initial_item_data['id'], response.json['data']['id']) self.assertIn(item_id, response.headers['Location']) self.assertEqual(self.initial_item_data['description'], response.json["data"]["description"]) self.assertEqual(self.initial_item_data['quantity'], response.json["data"]["quantity"]) self.assertEqual(self.initial_item_data['address'], response.json["data"]["address"]) # Get item response = self.app.get('/auctions/{}/items/{}'.format(auction_id, item_id)) self.assertEqual(item_id, response.json['data']['id']) self.assertEqual(self.initial_item_data['description'], response.json["data"]["description"]) self.assertEqual(self.initial_item_data['quantity'], response.json["data"]["quantity"]) self.assertEqual(self.initial_item_data['address'], response.json["data"]["address"]) # Patch item patch_data = {'description': 'DESCRIPTION_' + uuid4().hex, 'id': '0*32'} response = self.app.patch_json( '/auctions/{}/items/{}'.format(auction_id, item_id), {'data': patch_data}, headers=access_header ) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertNotEqual(patch_data['id'], response.json['data']['id']) self.assertEqual(patch_data['description'], response.json["data"]["description"]) def check_patch_auction_in_not_editable_statuses(self): self.app.authorization = ('Basic', ('broker', '')) # Auction creation data = self.initial_data.copy() response = self.app.post_json('/auctions', {'data': data}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') auction_id = response.json['data']['id'] owner_token = response.json['access']['token'] access_header = {'X-Access-Token': str(owner_token)} self.auction_id = auction_id self.set_status('active.tendering') # Item creation response = self.app.post_json( '/auctions/{}/items'.format(auction_id), {'data': self.initial_item_data}, headers=access_header ) item_id = response.json['data']['id'] self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') # Change status in which you can edit auction desired_status = 'active.auction' self.set_status(desired_status) self.app.authorization = ('Basic', ('broker', '')) # Trying to create new item response = self.app.post_json( '/auctions/{}/items'.format(auction_id), {'data': self.initial_item_data}, headers=access_header, status=403 ) self.assertEqual(response.status, '403 Forbidden') self.assertEqual(response.content_type, 'application/json') self.assertEqual( response.json['errors'][0]['description'], "You can't change items in this status ({})".format(desired_status) ) # Trying to update new item response = self.app.patch_json( '/auctions/{}/items/{}'.format(auction_id, item_id), {'data': {'description': uuid4().hex}}, headers=access_header, status=403 ) self.assertEqual(response.status, '403 Forbidden') self.assertEqual(response.content_type, 'application/json') self.assertEqual( response.json['errors'][0]['description'], "You can't change items in this status ({})".format(desired_status) ) def validate_change_items_after_rectification_period(self): self.app.authorization = ('Basic', ('broker', '')) # Auction creation data = self.initial_data.copy() response = self.app.post_json('/auctions', {'data': data}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') auction_id = response.json['data']['id'] owner_token = response.json['access']['token'] access_header = {'X-Access-Token': str(owner_token)} self.auction_id = auction_id self.set_status('active.tendering') # Item creation response = self.app.post_json( '/auctions/{}/items'.format(auction_id), {'data': self.initial_item_data}, headers=access_header ) item_id = response.json['data']['id'] self.assertEqual(response.status, '201 Created') # Change rectification period fromdb = self.db.get(auction_id) fromdb = AppraisalAuction(fromdb) fromdb.tenderPeriod.startDate = calculate_business_date( fromdb.tenderPeriod.startDate, -timedelta(days=15), fromdb, working_days=True ) fromdb.tenderPeriod.endDate = calculate_business_date( fromdb.tenderPeriod.startDate, timedelta(days=7), fromdb, working_days=True ) fromdb = fromdb.store(self.db) self.assertEqual(fromdb.id, auction_id) # Check if items can`t be edited response = self.app.post_json( '/auctions/{}/items'.format(auction_id), {'data': self.initial_item_data}, headers=access_header, status=403 ) self.assertEqual(response.json['errors'][0]['description'], 'You can\'t change items after rectification period') response = self.app.patch_json( '/auctions/{}/items/{}'.format(auction_id, item_id), {'data': {'description': uuid4().hex}}, headers=access_header, status=403 ) self.assertEqual(response.json['errors'][0]['description'], 'You can\'t change items after rectification period') def batch_create_items(self): self.app.authorization = ('Basic', ('broker', '')) data = self.initial_data.copy() data['items'] = [self.initial_item_data] # Auction creation response = self.app.post_json('/auctions', {'data': data}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') self.assertEqual(len(response.json['data']['items']), len(data['items'])) def batch_update_items(self): self.app.authorization = ('Basic', ('broker', '')) data = self.initial_data.copy() data['items'] = [self.initial_item_data] # Auction creation response = self.app.post_json('/auctions', {'data': data}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') self.assertEqual(len(response.json['data']['items']), len(data['items'])) auction_id = response.json['data']['id'] owner_token = response.json['access']['token'] access_header = {'X-Access-Token': str(owner_token)} self.app.patch_json( '/auctions/{}'.format(auction_id), {'data': {'status': 'active.tendering'}}, headers=access_header ) # Update items with batch mode item_2 = deepcopy(self.initial_item_data) del item_2['id'] patch_items = {'items': [self.initial_item_data, item_2]} response = self.app.patch_json( '/auctions/{}'.format(auction_id), {'data': patch_items}, headers=access_header ) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') self.assertEqual(len(response.json['data']['items']), len(patch_items['items'])) def check_bids_invalidation(self): self.app.authorization = ('Basic', ('broker', '')) # Auction creation data = self.initial_data.copy() response = self.app.post_json('/auctions', {'data': data}) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') auction_id = response.json['data']['id'] owner_token = response.json['access']['token'] access_header = {'X-Access-Token': str(owner_token)} self.auction_id = auction_id self.set_status('active.tendering') # Create and activate bid response = self.app.post_json( '/auctions/{}/bids'.format(auction_id), {'data': {'tenderers': [self.initial_organization], "status": "draft", 'qualified': True, 'eligible': True}} ) self.assertEqual(response.status, '201 Created') self.assertEqual(response.content_type, 'application/json') bidder_id = response.json['data']['id'] bid_token = response.json['access']['token'] self.app.patch_json( '/auctions/{}/bids/{}?acc_token={}'.format(auction_id, bidder_id, bid_token), {'data': {'status': 'active'}} ) # Create item response = self.app.post_json( '/auctions/{}/items'.format(auction_id), {'data': self.initial_item_data}, headers=access_header ) item_id = response.json['data']['id'] # Check if bid invalidated response = self.app.get( '/auctions/{}/bids/{}?acc_token={}'.format(auction_id, bidder_id, bid_token) ) self.assertEqual(response.json['data']['status'], 'invalid') response = self.app.get('/auctions/{}'.format(auction_id)) self.assertIn('invalidationDate', response.json['data']['rectificationPeriod']) invalidation_date = response.json['data']['rectificationPeriod']['invalidationDate'] # Activate bid again and check if status changes self.app.patch_json( '/auctions/{}/bids/{}?acc_token={}'.format(auction_id, bidder_id, bid_token), {'data': {'status': 'active'}} ) response = self.app.get( '/auctions/{}/bids/{}?acc_token={}'.format(auction_id, bidder_id, bid_token) ) self.assertEqual(response.json['data']['status'], 'active') # Patch item response = self.app.patch_json( '/auctions/{}/items/{}'.format(auction_id, item_id), {'data': {}}, headers=access_header ) self.assertEqual(response.status, '200 OK') self.assertEqual(response.content_type, 'application/json') response = self.app.get( '/auctions/{}/bids/{}?acc_token={}'.format(auction_id, bidder_id, bid_token) ) self.assertEqual(response.json['data']['status'], 'invalid') response = self.app.get('/auctions/{}'.format(auction_id)) self.assertIn('invalidationDate', response.json['data']['rectificationPeriod']) self.assertNotEqual(invalidation_date, response.json['data']['rectificationPeriod']['invalidationDate'])

36.837975

117

0.665315

1,696

14,551

5.54717

0.079009

0.106824

0.107568

0.052509

0.881696

0.861182

0.852041

0.833652

0.820685

0.816114

0

0.007276

0.168854

14,551

395

118

36.837975

0.77063

0.039791

0

0.759322

0

0.190189

0.020869

0

0.247458

1

0.027119

false

0

0.016949

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0.044068

0

null

0

1

0

1

0

null

0

7

c93ae6eb931fecf508d13b3d1411d50047ff3a7a

129

py

Python

anvil/sub_rig_templates/bird_wing.py

AndresMWeber/Anvil

9cd202183ac998983c2bf6e55cc46bbc0ca1a78e

[ "Apache-2.0" ]

3

2019-11-22T04:38:06.000Z

2022-01-19T08:27:18.000Z

anvil/sub_rig_templates/bird_wing.py

AndresMWeber/Anvil

9cd202183ac998983c2bf6e55cc46bbc0ca1a78e

[ "Apache-2.0" ]

28

2018-02-01T20:39:42.000Z

2018-04-26T17:25:23.000Z

anvil/sub_rig_templates/bird_wing.py

AndresMWeber/Anvil

9cd202183ac998983c2bf6e55cc46bbc0ca1a78e

[ "Apache-2.0" ]

1

2018-03-11T06:47:26.000Z

from limb import Limb class BirdWing(Limb): BUILT_IN_META_DATA = Limb.BUILT_IN_META_DATA.merge({'name': 'wing'}, new=True)

21.5

82

0.736434

21

129

4.238095

0.666667

0.202247

0.247191

0.337079

0.426966

0

0.131783

129

5

83

25.8

0.794643

0

0.062016

0

1

0

false

0

0.333333

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

c95ce0ca56d84728f833b8dd59f326a2ad608973

3,652

py

Python

test/src/data/test_mask.py

gusriobr/vineyard-sketcher

b1018dd7e3e3cf3de72817831c3e5feec00157b9

[ "Apache-2.0" ]

null

test/src/data/test_mask.py

gusriobr/vineyard-sketcher

b1018dd7e3e3cf3de72817831c3e5feec00157b9

[ "Apache-2.0" ]

null

test/src/data/test_mask.py

gusriobr/vineyard-sketcher

b1018dd7e3e3cf3de72817831c3e5feec00157b9

[ "Apache-2.0" ]

null

import os import unittest import numpy as np import cfg_test as tcfg from skimage import io from image.mask import MaskMerger, clean_instaces, PrimeIdMasMerger class TestMaskMerger(unittest.TestCase): @classmethod def setUpClass(cls): cls.iterations = cls._load_images() @classmethod def _load_images(self): # iterations return [ ['image_0_0_0.png'], ['image_0_100_0.png'], ['image_0_200_0.png'], ['image_0_300_0.png'], ['image_0_300_1.png', 'image_0_300_2.png'], ['image_0_400_0.png', 'image_0_400_1.png'], ['image_0_500_0.png', 'image_0_500_1.png'], ['image_0_600_0.png', 'image_0_600_1.png'], ['image_0_700_0.png'], ['image_0_800_0.png'] ] def test_apply(self): base_folder = tcfg.resource("masks") out_img = np.zeros((512, 512 * 9), dtype=np.uint8) r = 0 merger = MaskMerger() for iter in self.iterations: # load files masks = np.zeros((512, 512, len(iter)), dtype=np.uint8) for i in range(0, len(iter)): masks[:, :, i] = io.imread(os.path.join(base_folder, iter[i])).astype(np.uint8) pos = list(map(int, iter[0].split("_")[1:3])) pos.reverse() merger.apply(out_img, masks, pos) ids, counts = np.unique(out_img, return_counts=True) factor = 255 // len(ids) io.imsave("/tmp/salida_{}.png".format(r), out_img * factor) r += 1 # comprobamos el número de instancias clean_instaces(out_img) ids, counts = np.unique(out_img, return_counts=True) factor = 255 // len(ids) io.imsave("/tmp/output_image.png".format(r), out_img * factor) self.assertEqual(3, len(ids)) # 0,1,2 class TestPrimeMaskMerger(unittest.TestCase): @classmethod def setUpClass(cls): cls.iterations = cls._load_images() @classmethod def _load_images(self): # iterations return [ ['image_0_0_0.png'], ['image_0_100_0.png'], ['image_0_200_0.png'], ['image_0_300_0.png'], ['image_0_300_1.png', 'image_0_300_2.png'], ['image_0_400_0.png', 'image_0_400_1.png'], ['image_0_500_0.png', 'image_0_500_1.png'], ['image_0_600_0.png', 'image_0_600_1.png'], ['image_0_700_0.png'], ['image_0_800_0.png'] ] def test_apply(self): base_folder = tcfg.resource("masks") out_img = np.zeros((512, 512 * 9), dtype=np.uint8) r = 0 merger = PrimeIdMasMerger() for iter in self.iterations: # load files masks = np.zeros((512, 512, len(iter)), dtype=np.uint8) for i in range(0, len(iter)): masks[:, :, i] = io.imread(os.path.join(base_folder, iter[i])).astype(np.uint8) pos = list(map(int, iter[0].split("_")[1:3])) pos.reverse() merger.apply(out_img, masks, pos) ids, counts = np.unique(out_img, return_counts=True) factor = 255 // len(ids) io.imsave("/tmp/salida_{}.png".format(r), out_img * factor) r += 1 # comprobamos el número de instancias clean_instaces(out_img) ids, counts = np.unique(out_img, return_counts=True) factor = 255 // len(ids) io.imsave("/tmp/output_image.png".format(r), out_img * factor) self.assertEqual(3, len(ids)) # 0,1,2 if __name__ == "__main__": unittest.main()

31.756522

95

0.560241

498

3,652

3.839357

0.190763

0.087866

0.122385

0.083682

0.882845

0

0.078094

0.29874

3,652

114

96

32.035088

0.668489

0.034775

0

0.837209

0

0.162116

0.011945

0

0.023256

1

0.069767

false

0

0.069767

0.023256

0.186047

0

null

0

1

0

1

0

null

0

7

c9745f2f22ed34fe5293cf432c9cf0d96724ee1d

19,661

py

Python

lacquer/tree/visitor.py

provingground-moe/lacquer

4b005400de995288c8ca9050342097e0f4665d49

[ "Apache-2.0" ]

30

2017-01-13T00:27:29.000Z

2022-03-24T09:20:06.000Z

lacquer/tree/visitor.py

provingground-moe/lacquer

4b005400de995288c8ca9050342097e0f4665d49

[ "Apache-2.0" ]

15

2017-01-24T23:54:07.000Z

2017-03-31T20:19:40.000Z

lacquer/tree/visitor.py

provingground-moe/lacquer

4b005400de995288c8ca9050342097e0f4665d49

[ "Apache-2.0" ]

16

2017-08-22T17:35:54.000Z

2019-06-25T16:04:23.000Z

# -*- coding: utf-8 -*- # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from .join_criteria import JoinOn, JoinUsing from .grouping import SimpleGroupBy, GroupingSets class AstVisitor(object): def process(self, node, context=None): return node.accept(self, context) def visit_node(self, node, context): pass def visit_expression(self, node, context): return self.visit_node(node, context) def visit_reset_session(self, node, context): return self.visit_statement(node, context) def visit_current_time(self, node, context): return self.visit_expression(node, context) def visit_extract(self, node, context): return self.visit_expression(node, context) def visit_arithmetic_binary(self, node, context): return self.visit_expression(node, context) def visit_between_predicate(self, node, context): return self.visit_expression(node, context) def visit_coalesce_expression(self, node, context): return self.visit_expression(node, context) def visit_comparison_expression(self, node, context): return self.visit_expression(node, context) def visit_literal(self, node, context): return self.visit_expression(node, context) def visit_double_literal(self, node, context): return self.visit_literal(node, context) def visit_statement(self, node, context): return self.visit_node(node, context) def visit_query(self, node, context): return self.visit_statement(node, context) def visit_explain(self, node, context): return self.visit_statement(node, context) def visit_show_tables(self, node, context): return self.visit_statement(node, context) def visit_show_schemas(self, node, context): return self.visit_statement(node, context) def visit_show_catalogs(self, node, context): return self.visit_statement(node, context) def visit_show_columns(self, node, context): return self.visit_statement(node, context) def visit_show_partitions(self, node, context): return self.visit_statement(node, context) def visit_show_functions(self, node, context): return self.visit_statement(node, context) def visit_use(self, node, context): return self.visit_statement(node, context) def visit_show_session(self, node, context): return self.visit_statement(node, context) def visit_set_session(self, node, context): return self.visit_statement(node, context) def visit_generic_literal(self, node, context): return self.visit_literal(node, context) def visit_time_literal(self, node, context): return self.visit_literal(node, context) def visit_explain_option(self, node, context): return self.visit_node(node, context) def visit_with(self, node, context): return self.visit_node(node, context) def visit_approximate(self, node, context): return self.visit_node(node, context) def visit_with_query(self, node, context): return self.visit_node(node, context) def visit_select(self, node, context): return self.visit_node(node, context) def visit_relation(self, node, context): return self.visit_node(node, context) def visit_query_body(self, node, context): return self.visit_relation(node, context) def visit_query_specification(self, node, context): return self.visit_query_body(node, context) def visit_set_operation(self, node, context): return self.visit_query_body(node, context) def visit_union(self, node, context): return self.visit_set_operation(node, context) def visit_intersect(self, node, context): return self.visit_set_operation(node, context) def visit_except(self, node, context): return self.visit_set_operation(node, context) def visit_timestamp_literal(self, node, context): return self.visit_literal(node, context) def visit_when_clause(self, node, context): return self.visit_expression(node, context) def visit_interval_literal(self, node, context): return self.visit_literal(node, context) def visit_in_predicate(self, node, context): return self.visit_expression(node, context) def visit_function_call(self, node, context): return self.visit_expression(node, context) def visit_lambda_expression(self, node, context): return self.visit_expression(node, context) def visit_simple_case_expression(self, node, context): return self.visit_expression(node, context) def visit_string_literal(self, node, context): return self.visit_literal(node, context) def visit_binary_literal(self, node, context): return self.visit_literal(node, context) def visit_boolean_literal(self, node, context): return self.visit_literal(node, context) def visit_in_list_expression(self, node, context): return self.visit_expression(node, context) def visit_qualified_name_reference(self, node, context): return self.visit_expression(node, context) def visit_dereference_expression(self, node, context): return self.visit_expression(node, context) def visit_null_if_expression(self, node, context): return self.visit_expression(node, context) def visit_if_expression(self, node, context): return self.visit_expression(node, context) def visit_null_literal(self, node, context): return self.visit_literal(node, context) def visit_arithmetic_unary(self, node, context): return self.visit_expression(node, context) def visit_not_expression(self, node, context): return self.visit_expression(node, context) def visit_select_item(self, node, context): return self.visit_node(node, context) def visit_single_column(self, node, context): return self.visit_select_item(node, context) def visit_all_columns(self, node, context): return self.visit_select_item(node, context) def visit_searched_case_expression(self, node, context): return self.visit_expression(node, context) def visit_like_predicate(self, node, context): return self.visit_expression(node, context) def visit_is_not_null_predicate(self, node, context): return self.visit_expression(node, context) def visit_is_null_predicate(self, node, context): return self.visit_expression(node, context) def visit_array_constructor(self, node, context): return self.visit_expression(node, context) def visit_subscript_expression(self, node, context): return self.visit_expression(node, context) def visit_long_literal(self, node, context): return self.visit_literal(node, context) def visit_logical_binary_expression(self, node, context): return self.visit_expression(node, context) def visit_subquery_expression(self, node, context): return self.visit_expression(node, context) def visit_sort_item(self, node, context): return self.visit_node(node, context) def visit_table(self, node, context): return self.visit_query_body(node, context) def visit_unnest(self, node, context): return self.visit_relation(node, context) def visit_values(self, node, context): return self.visit_query_body(node, context) def visit_row(self, node, context): return self.visit_node(node, context) def visit_table_subquery(self, node, context): return self.visit_query_body(node, context) def visit_aliased_relation(self, node, context): return self.visit_relation(node, context) def visit_sampled_relation(self, node, context): return self.visit_relation(node, context) def visit_join(self, node, context): return self.visit_relation(node, context) def visit_exists(self, node, context): return self.visit_expression(node, context) def visit_try_expression(self, node, context): return self.visit_expression(node, context) def visit_cast(self, node, context): return self.visit_expression(node, context) def visit_input_reference(self, node, context): return self.visit_expression(node, context) def visit_window(self, node, context): return self.visit_node(node, context) def visit_window_frame(self, node, context): return self.visit_node(node, context) def visit_frame_bound(self, node, context): return self.visit_node(node, context) def visit_call_argument(self, node, context): return self.visit_node(node, context) def visit_table_element(self, node, context): return self.visit_node(node, context) def visit_create_table(self, node, context): return self.visit_statement(node, context) def visit_create_table_as_select(self, node, context): return self.visit_statement(node, context) def visit_drop_table(self, node, context): return self.visit_statement(node, context) def visit_rename_table(self, node, context): return self.visit_statement(node, context) def visit_rename_column(self, node, context): return self.visit_statement(node, context) def visit_add_column(self, node, context): return self.visit_statement(node, context) def visit_create_view(self, node, context): return self.visit_statement(node, context) def visit_drop_view(self, node, context): return self.visit_statement(node, context) def visit_insert(self, node, context): return self.visit_node(node, context) def visit_call(self, node, context): return self.visit_node(node, context) def visit_delete(self, node, context): return self.visit_statement(node, context) def visit_start_transaction(self, node, context): return self.visit_statement(node, context) def visit_grant(self, node, context): return self.visit_statement(node, context) def visit_transaction_mode(self, node, context): return self.visit_node(node, context) def visit_isolation_level(self, node, context): return self.visit_transaction_mode(node, context) def visit_transaction_access_mode(self, node, context): return self.visit_transaction_mode(node, context) def visit_commit(self, node, context): return self.visit_statement(node, context) def visit_rollback(self, node, context): return self.visit_statement(node, context) def visit_at_time_zone(self, node, context): return self.visit_expression(node, context) class DefaultTraversalVisitor(AstVisitor): def visit_extract(self, node, context): return self.process(node.expression, context) def visit_cast(self, node, context): return self.process(node.expression, context) def visit_arithmetic_binary(self, node, context): self.process(node.left, context) self.process(node.right, context) return None def visit_between_predicate(self, node, context): self.process(node.value, context) self.process(node.min, context) self.process(node.max, context) return None def visit_coalesce_expression(self, node, context): for operand in node.operands: self.process(operand, context) return None def visit_at_time_zone(self, node, context): self.process(node.value, context) self.process(node.time_zone, context) return None def visit_array_constructor(self, node, context): for expression in node.values: self.process(expression, context) return None def visit_subscript_expression(self, node, context): self.process(node.base, context) self.process(node.index, context) return None def visit_comparison_expression(self, node, context): self.process(node.left, context) self.process(node.right, context) return None def visit_query(self, node, context): self.process(node.query_body, context) for sort_item in node.order_by: self.process(sort_item, context) return None def visit_with(self, node, context): for query in node.queries: self.process(query, context) return None def visit_with_query(self, node, context): return self.process(node.query, context) def visit_select(self, node, context): for item in node.select_items: self.process(item, context) return None def visit_single_column(self, node, context): self.process(node.expression, context) return None def visit_when_clause(self, node, context): self.process(node.operand, context) self.process(node.result, context) return None def visit_in_predicate(self, node, context): self.process(node.value, context) self.process(node.value_list, context) return None def visit_function_call(self, node, context): for argument in node.arguments: self.process(argument, context) if node.window: self.process(node.window, context) return None def visit_dereference_expression(self, node, context): self.process(node.base, context) return None """ def visit_window(self, node, context) for expression in node.partition: self.process(expression, context) for sort_item in node.order_by: self.process(sort_item.sort_key, context) if node.frame: self.process(node.frame, context) return None def visit_window_frame(self, node, context) self.process(node.start, context) if node.end: self.process(node.end, context) return None def visit_frame_bound(self, node, context) if node.value: self.process(node.value, context) return None """ def visit_simple_case_expression(self, node, context): self.process(node.operand, context) for clause in node.when_clauses: self.process(clause, context) if node.default_value: self.process(node.default_valuee, context) return None def visit_in_list_expression(self, node, context): for value in node.values: self.process(value, context) return None def visit_None_if_expression(self, node, context): self.process(node.first, context) self.process(node.second, context) return None def visit_if_expression(self, node, context): self.process(node.condition, context) self.process(node.true_value, context) if node.false_value: self.process(node.false_value, context) return None def visit_try_expression(self, node, context): self.process(node.inner_expression, context) return None def visit_arithmetic_unary(self, node, context): return self.process(node.value, context) def visit_not_expression(self, node, context): return self.process(node.value, context) def visit_searched_case_expression(self, node, context): for clause in node.when_clauses: self.process(clause, context) if node.default_value: self.process(node.default_value, context) return None def visit_like_predicate(self, node, context): self.process(node.value, context) self.process(node.pattern, context) if node.escape is not None: self.process(node.escape, context) return None def visit_is_not_None_predicate(self, node, context): return self.process(node.value, context) def visit_is_None_predicate(self, node, context): return self.process(node.value, context) def visit_logical_binary_expression(self, node, context): self.process(node.left, context) self.process(node.right, context) return None def visit_subquery_expression(self, node, context): return self.process(node.query, context) def visit_sort_item(self, node, context): return self.process(node.sort_key, context) def visit_query_specification(self, node, context): self.process(node.select, context) if node.from_: self.process(node.from_, context) if node.where: self.process(node.where, context) if node.group_by: grouping_elements = [] if isinstance(node.group_by, SimpleGroupBy): grouping_elements = node.group_by.columns elif isinstance(node.group_by, GroupingSets): grouping_elements = node.group_by.sets for grouping_element in grouping_elements: self.process(grouping_element, context) if node.having: self.process(node.having, context) for sort_item in node.order_by: self.process(sort_item, context) return None def visit_union(self, node, context): for relation in node.relations: self.process(relation, context) return None def visit_intersect(self, node, context): for relation in node.relations: self.process(relation, context) return None def visit_except(self, node, context): self.process(node.left, context) self.process(node.right, context) return None def visit_values(self, node, context): for row in node.rows: self.process(row, context) return None def visit_row(self, node, context): for expression in node.items: self.process(expression, context) return None def visit_table_subquery(self, node, context): return self.process(node.query, context) def visit_aliased_relation(self, node, context): return self.process(node.relation, context) def visit_sampled_relation(self, node, context): self.process(node.relation, context) self.process(node.get_sample_percentage(), context) if node.get_columns_to_stratify_on().is_present(): for expression in node.get_columns_to_stratify_on().get(): self.process(expression, context) return None def visit_join(self, node, context): self.process(node.left, context) self.process(node.right, context) if isinstance(node.criteria, JoinOn): self.process(node.criteria.expression, context) elif isinstance(node.criteria, JoinUsing): self.process(node.criteria.columns) return None class DefaultExpressionTraversalVisitor(DefaultTraversalVisitor): def __init__(self, line=None, pos=None): super(DefaultExpressionTraversalVisitor, self).__init__(line, pos) def visit_subquery_expression(self, node, context): return None

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194

py

Python

replace_text/__init__.py

jakeogh/replace-text

f6ea64fae8b73c5b2125009bf93f1b4294b2e2a4

[ "Unlicense" ]

1

2020-12-03T02:50:39.000Z

replace_text/__init__.py

jakeogh/replace-text

f6ea64fae8b73c5b2125009bf93f1b4294b2e2a4

[ "Unlicense" ]

null

replace_text/__init__.py

jakeogh/replace-text

f6ea64fae8b73c5b2125009bf93f1b4294b2e2a4

[ "Unlicense" ]

null

#from .replace_text import replace_text from .replace_text import append_unique_bytes_to_file from .replace_text import remove_comments_from_bytes from .replace_text import replace_text_in_file

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Python

tests/ut/python/pipeline/parse/test_sequence_assign.py

httpsgithu/mindspore

c29d6bb764e233b427319cb89ba79e420f1e2c64

[ "Apache-2.0" ]

1

2022-02-23T09:13:43.000Z

tests/ut/python/pipeline/parse/test_sequence_assign.py

949144093/mindspore

c29d6bb764e233b427319cb89ba79e420f1e2c64

[ "Apache-2.0" ]

null

tests/ut/python/pipeline/parse/test_sequence_assign.py

949144093/mindspore

c29d6bb764e233b427319cb89ba79e420f1e2c64

[ "Apache-2.0" ]

null

# Copyright 2020-2022 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ """ test enumerate""" import numpy as np import pytest import mindspore.nn as nn from mindspore.nn import Cell from mindspore.ops import composite as C from mindspore.ops import operations as P from mindspore import Tensor, ms_function from mindspore import context def test_list_index_1d(): """ Feature: List index assign Description: Test list assign in pynative mode Expectation: No exception. """ context.set_context(mode=context.PYNATIVE_MODE) class Net(nn.Cell): def construct(self): list_ = [[1], [2, 2], [3, 3, 3]] list_[0] = [100] return list_ net = Net() out = net() assert list(out[0]) == [100] assert list(out[1]) == [2, 2] assert list(out[2]) == [3, 3, 3] context.set_context(mode=context.GRAPH_MODE) net = Net() out = net() assert list(out[0]) == [100] assert list(out[1]) == [2, 2] assert list(out[2]) == [3, 3, 3] def test_list_neg_index_1d(): """ Feature: List index assign Description: Test list assign in pynative mode Expectation: No exception. """ context.set_context(mode=context.PYNATIVE_MODE) class Net(nn.Cell): def construct(self): list_ = [[1], [2, 2], [3, 3, 3]] list_[-3] = [100] return list_ net = Net() out = net() assert list(out[0]) == [100] assert list(out[1]) == [2, 2] assert list(out[2]) == [3, 3, 3] context.set_context(mode=context.GRAPH_MODE) out = net() assert list(out[0]) == [100] assert list(out[1]) == [2, 2] assert list(out[2]) == [3, 3, 3] def test_list_index_2d(): """ Feature: List index assign Description: Test list assign in pynative mode Expectation: No exception. """ context.set_context(mode=context.PYNATIVE_MODE) class Net(nn.Cell): def construct(self): list_ = [[1], [2, 2], [3, 3, 3]] list_[1][0] = 200 list_[1][1] = 201 return list_ net = Net() out = net() assert list(out[0]) == [1] assert list(out[1]) == [200, 201] assert list(out[2]) == [3, 3, 3] context.set_context(mode=context.GRAPH_MODE) out = net() assert list(out[0]) == [1] assert list(out[1]) == [200, 201] assert list(out[2]) == [3, 3, 3] def test_list_neg_index_2d(): """ Feature: List index assign Description: Test list assign in pynative mode Expectation: No exception. """ context.set_context(mode=context.PYNATIVE_MODE) class Net(nn.Cell): def construct(self): list_ = [[1], [2, 2], [3, 3, 3]] list_[1][-2] = 20 list_[1][-1] = 21 return list_ net = Net() out = net() assert list(out[0]) == [1] assert list(out[1]) == [20, 21] assert list(out[2]) == [3, 3, 3] context.set_context(mode=context.GRAPH_MODE) out = net() assert list(out[0]) == [1] assert list(out[1]) == [20, 21] assert list(out[2]) == [3, 3, 3] def test_list_index_3d(): """ Feature: List index assign Description: Test list assign in pynative mode Expectation: No exception. """ class Net(nn.Cell): def construct(self): list_ = [[1], [2, 2], [[3, 3, 3]]] list_[2][0][0] = 300 list_[2][0][1] = 301 list_[2][0][2] = 302 return list_ context.set_context(mode=context.PYNATIVE_MODE) net = Net() out = net() assert list(out[0]) == [1] assert list(out[1]) == [2, 2] assert list(out[2][0]) == [300, 301, 302] context.set_context(mode=context.GRAPH_MODE) out = net() assert list(out[0]) == [1] assert list(out[1]) == [2, 2] assert list(out[2][0]) == [300, 301, 302] def test_list_neg_index_3d(): """ Feature: List index assign Description: Test list assign in pynative mode Expectation: No exception. """ context.set_context(mode=context.PYNATIVE_MODE) class Net(nn.Cell): def construct(self): list_ = [[1], [2, 2], [[3, 3, 3]]] list_[2][0][-3] = 30 list_[2][0][-2] = 31 list_[2][0][-1] = 32 return list_ net = Net() out = net() assert list(out[0]) == [1] assert list(out[1]) == [2, 2] assert list(out[2][0]) == [30, 31, 32] context.set_context(mode=context.GRAPH_MODE) out = net() assert list(out[0]) == [1] assert list(out[1]) == [2, 2] assert list(out[2][0]) == [30, 31, 32] def test_list_index_1D_parameter(): context.set_context(mode=context.GRAPH_MODE) class Net(nn.Cell): def construct(self, x): list_ = [x] list_[0] = 100 return list_ net = Net() net(Tensor(0)) def test_list_index_2D_parameter(): context.set_context(mode=context.GRAPH_MODE) class Net(nn.Cell): def construct(self, x): list_ = [[x, x]] list_[0][0] = 100 return list_ net = Net() net(Tensor(0)) def test_list_index_3D_parameter(): context.set_context(mode=context.GRAPH_MODE) class Net(nn.Cell): def construct(self, x): list_ = [[[x, x]]] list_[0][0][0] = 100 return list_ net = Net() net(Tensor(0)) def test_const_list_index_3D_bprop(): context.set_context(mode=context.GRAPH_MODE) class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.value = [[1], [2, 2], [[3, 3], [3, 3]]] self.relu = P.ReLU() def construct(self, input_x): list_x = self.value list_x[2][0][1] = input_x return self.relu(list_x[2][0][1]) class GradNet(nn.Cell): def __init__(self, net): super(GradNet, self).__init__() self.net = net self.grad_all_with_sens = C.GradOperation(get_all=True, sens_param=True) def construct(self, x, sens): return self.grad_all_with_sens(self.net)(x, sens) net = Net() grad_net = GradNet(net) x = Tensor(np.arange(2 * 3).reshape(2, 3)) sens = Tensor(np.arange(2 * 3).reshape(2, 3)) grad_net(x, sens) def test_parameter_list_index_3D_bprop(): context.set_context(mode=context.GRAPH_MODE) class Net(nn.Cell): def __init__(self): super(Net, self).__init__() self.value = [[1], [2, 2], [[3, 3], [3, 3]]] self.relu = P.ReLU() def construct(self, x, value): list_value = [[x], [x, x], [[x, x], [x, x]]] list_value[2][0][1] = value return self.relu(list_value[2][0][1]) class GradNet(nn.Cell): def __init__(self, net): super(GradNet, self).__init__() self.net = net self.grad_all_with_sens = C.GradOperation(get_all=True, sens_param=True) def construct(self, x, value, sens): return self.grad_all_with_sens(self.net)(x, value, sens) net = Net() grad_net = GradNet(net) x = Tensor(np.arange(2 * 3).reshape(2, 3)) value = Tensor(np.ones((2, 3), np.int64)) sens = Tensor(np.arange(2 * 3).reshape(2, 3)) grad_net(x, value, sens) class Net1(Cell): def construct(self, a, b, start=None, stop=None, step=None): a[start:stop:step] = b[start:stop:step] return tuple(a) def compare_func1(a, b, start=None, stop=None, step=None): a[start:stop:step] = b[start:stop:step] return tuple(a) def test_list_slice_length_equal(): """ Feature: List assign Description: Test list assign the size is equal Expectation: No exception. """ context.set_context(mode=context.PYNATIVE_MODE) a = [1, 2, 3, 4] b = [5, 6, 7, 8] python_out = compare_func1(a, b, 0, None, 2) a = [1, 2, 3, 4] b = [5, 6, 7, 8] net = Net1() pynative_mode_out = net(a, b, 0, None, 2) assert pynative_mode_out == python_out context.set_context(mode=context.GRAPH_MODE) graph_out = net(a, b, 0, None, 2) assert graph_out == python_out def test_list_slice_length_error(): """ Feature: List assign Description: Test list assign the size is not equal Expectation: ValueError. """ context.set_context(mode=context.GRAPH_MODE) a = [1, 2, 3, 4, 5] b = [5, 6, 7, 8] net = Net1() with pytest.raises(ValueError) as err: net(a, b, 0, None, 2) assert "attempt to assign sequence of size 2 to extended slice of size 3" in str(err.value) context.set_context(mode=context.PYNATIVE_MODE) with pytest.raises(ValueError) as err: net(a, b, 0, None, 2) assert "attempt to assign sequence of size 2 to extended slice of size 3" in str(err.value) def compare_func2(a, b, start=None, stop=None, step=None): a[start:stop:step] = b return tuple(a) class Net2(Cell): def construct(self, a, b, start=None, stop=None, step=None): a[start:stop:step] = b return tuple(a) def test_list_slice_shrink(): """ Feature: List assign Description: Test list slice shrink assign Expectation: No exception. """ context.set_context(mode=context.PYNATIVE_MODE) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33] python_out = compare_func2(a, b, 0, 5) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33] net = Net2() pynative_out = net(a, b, 0, 5) assert pynative_out == python_out a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33] context.set_context(mode=context.GRAPH_MODE) graph_out = net(a, b, 0, 5) assert graph_out == python_out def test_list_slice_insert(): """ Feature: List assign Description: Test list slice insert assign Expectation: No exception. """ context.set_context(mode=context.PYNATIVE_MODE) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] python_out = compare_func2(a, b, 0, 1) net = Net2() a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] pynative_out = net(a, b, 0, 1) assert pynative_out == python_out a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] context.set_context(mode=context.GRAPH_MODE) graph_out = net(a, b, 0, 1) assert graph_out == python_out def test_list_slice_assign(): """ Feature: List assign Description: Test list slice start and stop is larger than size Expectation: No exception. """ context.set_context(mode=context.PYNATIVE_MODE) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] python_out = compare_func2(a, b, -12, 456) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] net = Net2() pynative_out = net(a, b, -12, 456) assert pynative_out == python_out context.set_context(mode=context.GRAPH_MODE) graph_out = net(a, b, -12, 456) assert graph_out == python_out def test_list_slice_extend(): """ Feature: List assign Description: Test list slice extend Expectation: No exception. """ context.set_context(mode=context.PYNATIVE_MODE) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] net = Net2() python_out = compare_func2(a, b, 1234, 0) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] pynative_out = net(a, b, 1234, 0) assert pynative_out == python_out a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] context.set_context(mode=context.GRAPH_MODE) graph_out = net(a, b, 1234, 0) assert graph_out == python_out def test_list_slice_extend_front(): """ Feature: List assign Description: Test list slice extend Expectation: No exception. """ a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] python_out = compare_func2(a, b, 0, 0) context.set_context(mode=context.PYNATIVE_MODE) net = Net2() a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] pynative_out = net(a, b, 0, 0) assert pynative_out == python_out a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] context.set_context(mode=context.GRAPH_MODE) graph_out = net(a, b, 0, 0) assert graph_out == python_out def test_list_slice_extend_inner(): """ Feature: List assign Description: Test list slice extend Expectation: No exception. """ a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] python_out = compare_func2(a, b, 5, 5) context.set_context(mode=context.PYNATIVE_MODE) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] net = Net2() pynative_out = net(a, b, 5, 5) assert pynative_out == python_out a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33, 44, 55] context.set_context(mode=context.GRAPH_MODE) graph_out = net(a, b, 5, 5) assert graph_out == python_out def test_list_slice_erase(): """ Feature: List assign Description: Test list slice erase Expectation: No exception. """ a = [1, 2, 3, 4, 5, 6, 7] python_out = compare_func2(a, [], 1, 3) context.set_context(mode=context.PYNATIVE_MODE) a = [1, 2, 3, 4, 5, 6, 7] net = Net2() pynative_out = net(a, [], 1, 3) assert pynative_out == python_out context.set_context(mode=context.GRAPH_MODE) a = [1, 2, 3, 4, 5, 6, 7] graph_out = net(a, [], 1, 3) assert graph_out == python_out def test_list_slice_tuple_without_step(): """ Feature: List assign Description: Test list slice assign with tuple Expectation: No exception. """ a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = (11, 22, 33) python_out = compare_func2(a, b, 0, 4, None) context.set_context(mode=context.PYNATIVE_MODE) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = (11, 22, 33) net = Net2() pynative_out = net(a, b, 0, 4, None) assert pynative_out == python_out a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = (11, 22, 33) context.set_context(mode=context.GRAPH_MODE) graph_out = net(a, b, 0, 4, None) assert graph_out == python_out def test_list_slice_tuple_with_step(): """ Feature: List assign Description: Test list slice assign with tuple Expectation: No exception. """ a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = (11, 22, 33) python_out = compare_func2(a, b, 1, None, 3) context.set_context(mode=context.PYNATIVE_MODE) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = (11, 22, 33) net = Net2() pynative_out = net(a, b, 1, None, 3) assert pynative_out == python_out context.set_context(mode=context.GRAPH_MODE) graph_out = net(a, b, 1, None, 3) assert graph_out == python_out def test_list_double_slice(): """ Feature: List assign Description: Test list double slice assign Expectation: ValueError """ context.set_context(mode=context.PYNATIVE_MODE) @ms_function def foo(a, b, start1, stop1, step1, start2, stop2, step2): a[start1:stop1:step1][start2: stop2: step2] = b return a class NetInner(Cell): def construct(self, a, b, start1, stop1, step1, start2, stop2, step2): a[start1:stop1:step1][start2: stop2: step2] = b return tuple(a) net = NetInner() a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [11, 22, 33] assert foo(a, b, 0, None, 1, 0, None, 3) == net(a, b, 0, None, 1, 0, None, 3) def convert_tuple(a): result = tuple() for i in a: if isinstance(i, list): result += (tuple(i),) continue result += (i,) return result def test_list_in_list_slice(): """ Feature: List assign Description: Test high dimension list slice assign Expectation: No exception. """ class TestNet(Cell): def construct(self, a, b, index, start=None, stop=None, step=None): a[index][start:stop:step] = b return tuple(a) def com_func3(a, b, index, start=None, stop=None, step=None): a[index][start:stop:step] = b return convert_tuple(a) a = [1, 2, [1, 2, 3, 4, 5, 6, 7], 8, 9] b = [1111, 2222] python_out = com_func3(a, b, 2, 1, None, 3) context.set_context(mode=context.PYNATIVE_MODE) net = TestNet() a = [1, 2, [1, 2, 3, 4, 5, 6, 7], 8, 9] b = [1111, 2222] pynative_out = convert_tuple(net(a, b, 2, 1, None, 3)) assert pynative_out == python_out context.set_context(mode=context.GRAPH_MODE) graph_out = convert_tuple(net(a, b, 2, 1, None, 3)) assert graph_out == python_out def test_list_slice_negative_step(): """ Feature: List assign Description: Test negative step list slice assign Expectation: No exception. """ a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [33, 44, 55] python_out = compare_func2(a, b, -1, -9, -3) context.set_context(mode=context.PYNATIVE_MODE) net = Net2() a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [33, 44, 55] pynative_out = net(a, b, -1, -9, -3) assert pynative_out == python_out context.set_context(mode=context.GRAPH_MODE) a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [33, 44, 55] graph_out = net(a, b, -1, -9, -3) assert graph_out == python_out def test_graph_list_slice_assign_extended_number(): """ Feature: List assign Description: Test negative step list slice assign Expectation: No exception. """ a = [1, 2, 3, 4, 5, 6] b = 1 net = Net2() context.set_context(mode=context.PYNATIVE_MODE) with pytest.raises(TypeError) as err: net(a, b, 0, None, 2) assert "must assign iterable to extended slice" in str(err.value) context.set_context(mode=context.GRAPH_MODE) with pytest.raises(TypeError) as err: net(a, b, 0, None, 2) assert "must assign iterable to extended slice" in str(err.value) def test_graph_list_slice_assign_number(): """ Feature: List assign Description: Test negative step list slice assign Expectation: No exception. """ a = [1, 2, 3, 4, 5, 6] b = 1 net = Net2() context.set_context(mode=context.PYNATIVE_MODE) with pytest.raises(TypeError) as err: net(a, b, 0, None, 1) assert "can only assign an iterable" in str(err.value) context.set_context(mode=context.GRAPH_MODE) with pytest.raises(TypeError) as err: net(a, b, 0, None, 1) assert "can only assign an iterable" in str(err.value) def test_list_slice_negetive_error(): """ Feature: List assign Description: Test negative step list slice assign Expectation: ValueError """ a = [1, 2, 3, 4, 5, 6, 7, 8, 9] b = [33, 44, 55] net = Net2() context.set_context(mode=context.PYNATIVE_MODE) with pytest.raises(ValueError) as err: net(a, b, -1, -3, -3) assert "attempt to assign sequence of size 3 to extended slice of size 1" in str(err.value) context.set_context(mode=context.GRAPH_MODE) with pytest.raises(ValueError) as err: net(a, b, -1, -3, -3) assert "attempt to assign sequence of size 3 to extended slice of size 1" in str(err.value)

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null

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7

a38f50dd095a39636ae5bc11181d6a64953eb2ff

197

py

Python

tests/run_all_tests.py

GRV96/jazal

b89f4303909ae53db7504b529a706afa8d07c81a

[ "MIT" ]

null

tests/run_all_tests.py

GRV96/jazal

b89f4303909ae53db7504b529a706afa8d07c81a

[ "MIT" ]

1

2021-10-06T20:21:24.000Z

tests/run_all_tests.py

GRV96/path_checker

b89f4303909ae53db7504b529a706afa8d07c81a

[ "MIT" ]

null

from os import system system("pytest path_util_tests.py") system("pytest path_checker_tests.py") system("pytest reactive_path_checker_tests.py") system("pytest missing_path_arg_warner_tests.py")

24.625

49

0.827411

31

197

4.903226

0.451613

0.315789

0.256579

0.375

0.394737

0

0.071066

197

7

50

28.142857

0.830601

0

0.654822

0.42132

0

1

0

true

0

0.2

0

0.2

0

null

1

0

1

0

1

null

0

1

0

7

6ebbecc09be5ba14ae4dd34a28648e5a5edc253d

72,793

py

Python

MPKTA_Final_Project.py

Iqrar99/MPKT-A_Final_Project

642d5fad8db492f2591994f4e8737dee5de5e6ed

[ "Apache-2.0" ]

null

MPKTA_Final_Project.py

Iqrar99/MPKT-A_Final_Project

642d5fad8db492f2591994f4e8737dee5de5e6ed

[ "Apache-2.0" ]

null

MPKTA_Final_Project.py

Iqrar99/MPKT-A_Final_Project

642d5fad8db492f2591994f4e8737dee5de5e6ed

[ "Apache-2.0" ]

null

#project akhir mpkta #semoga lancar #aminnn from tkinter import * lst = [] def readf(): with open('all.txt', 'r') as f: line = '' for i in range(68): while('<deskripsi>' not in line): line = f.readline() cmp = '' txt = '' while('<end>' not in cmp): txt += cmp cmp = f.readline() lst.append(txt) line = f.readline() class DirektoriMakanan(): def __init__(self, master=Tk()): self.master = master master.minsize(width = 500, height = 600) master.maxsize(width = 500, height = 600) self.master.title("Selamat Datang di McDones (Direktori Macanan Tradisional)") self.master.judul = Label(self.master, text = "Pilih provinsi yang ingin anda ketahui", font = "Arial 16 bold") self.master.judul.grid(row = 0, column = 3, columnspan = 8) self.bprov1 = Button(self.master, text='Aceh', command=self.__prov1, width = 25) self.bprov1.grid(row = 1, column = 3, columnspan = 4) self.bprov2 = Button(self.master, text='Sumatera Utara', command=self.__prov2, width = 25) self.bprov2.grid(row = 2, column = 3, columnspan = 4) self.bprov3 = Button(self.master, text='Sumatera Barat', command=self.__prov3, width = 25) self.bprov3.grid(row = 3, column = 3, columnspan = 4) self.bprov4 = Button(self.master, text='Riau', command=self.__prov4, width = 25) self.bprov4.grid(row = 4, column = 3, columnspan = 4) self.bprov5 = Button(self.master, text='Kepulauan Riau', command=self.__prov5, width = 25) self.bprov5.grid(row = 5, column = 3, columnspan = 4) self.bprov6 = Button(self.master, text='Jambi', command=self.__prov6, width = 25) self.bprov6.grid(row = 6, column = 3, columnspan = 4) self.bprov7 = Button(self.master, text='Bengukulu', command=self.__prov7, width = 25) self.bprov7.grid(row = 7, column = 3, columnspan = 4) self.bprov8 = Button(self.master, text='Sumatera Selatan', command=self.__prov8, width = 25) self.bprov8.grid(row = 8, column = 3, columnspan = 4) self.bprov9 = Button(self.master, text='Kepulauan Bangka Belitung', command=self.__prov9, width = 25) self.bprov9.grid(row = 9, column = 3, columnspan = 4) self.bprov10 = Button(self.master, text='Lampung', command=self.__prov10, width = 25) self.bprov10.grid(row = 10, column = 3, columnspan = 4) self.bprov11 = Button(self.master, text='Banten', command=self.__prov11, width = 25) self.bprov11.grid(row = 11, column = 3, columnspan = 4) self.bprov12 = Button(self.master, text='Jawa Barat', command=self.__prov12, width = 25) self.bprov12.grid(row = 12, column = 3, columnspan = 4) self.bprov13 = Button(self.master, text='DKI Jakarta', command=self.__prov13, width = 25) self.bprov13.grid(row = 13, column = 3, columnspan = 4) self.bprov14 = Button(self.master, text='Jawa Tengah', command=self.__prov14, width = 25) self.bprov14.grid(row = 14, column = 3, columnspan = 4) self.bprov15 = Button(self.master, text='DI Yogyakarta', command=self.__prov15, width = 25) self.bprov15.grid(row = 15, column = 3, columnspan = 4) self.bprov16 = Button(self.master, text='Jawa Timur', command=self.__prov16, width = 25) self.bprov16.grid(row = 16, column = 3, columnspan = 4) self.bprov17 = Button(self.master, text='Bali', command=self.__prov17, width = 25) self.bprov17.grid(row = 17, column = 3, columnspan = 4) self.bprov18 = Button(self.master, text='NTB', command=self.__prov18, width = 25) self.bprov18.grid(row = 1, column = 7, columnspan = 4) self.bprov19 = Button(self.master, text='NTT', command=self.__prov19, width = 25) self.bprov19.grid(row = 2, column = 7, columnspan = 4) self.bprov20 = Button(self.master, text='Kalimantan Utara', command=self.__prov20, width = 25) self.bprov20.grid(row = 3, column = 7, columnspan = 4) self.bprov21 = Button(self.master, text='Kalimantan Barat', command=self.__prov21, width = 25) self.bprov21.grid(row = 4, column = 7, columnspan = 4) self.bprov22 = Button(self.master, text='Kalimantan Tengah', command=self.__prov22, width = 25) self.bprov22.grid(row = 5, column = 7, columnspan = 4) self.bprov23 = Button(self.master, text='Kalimantan Selatan', command=self.__prov23, width = 25) self.bprov23.grid(row = 6, column = 7, columnspan = 4) self.bprov24 = Button(self.master, text='Kalimantan Timur', command=self.__prov24, width = 25) self.bprov24.grid(row = 7, column = 7, columnspan = 4) self.bprov25 = Button(self.master, text='Gorontalo', command=self.__prov25, width = 25) self.bprov25.grid(row = 8, column = 7, columnspan = 4) self.bprov26 = Button(self.master, text='Sulawesi Utara', command=self.__prov26, width = 25) self.bprov26.grid(row = 9, column = 7, columnspan = 4) self.bprov27 = Button(self.master, text='Sulawesi Barat', command=self.__prov27, width = 25) self.bprov27.grid(row = 10, column = 7, columnspan = 4) self.bprov28 = Button(self.master, text='Sulawesi Tengah', command=self.__prov28, width = 25) self.bprov28.grid(row = 11, column = 7, columnspan = 4) self.bprov29 = Button(self.master, text='Sulawesi Selatan', command=self.__prov29, width = 25) self.bprov29.grid(row = 12, column = 7, columnspan = 4) self.bprov30 = Button(self.master, text='Sulawesi Tenggara', command=self.__prov30, width = 25) self.bprov30.grid(row = 13, column = 7, columnspan = 4) self.bprov31 = Button(self.master, text='Maluku Utara', command=self.__prov31, width = 25) self.bprov31.grid(row = 14, column = 7, columnspan = 4) self.bprov32 = Button(self.master, text='Maluku', command=self.__prov32, width = 25) self.bprov32.grid(row = 15, column = 7, columnspan = 4) self.bprov33 = Button(self.master, text='Papua Barat', command=self.__prov33, width = 25) self.bprov33.grid(row = 16, column = 7, columnspan = 4) self.bprov34 = Button(self.master, text='Papua', command=self.__prov34, width = 25) self.bprov34.grid(row = 17, column = 7, columnspan = 4) self.master.mainloop() def __prov1(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Mie Aceh', command=self.aceh1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Kue Timpan', command=self.aceh2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def aceh1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Aceh") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Mie Aceh.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[0] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def aceh2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Aceh") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Kue Timpan.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[1] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov2(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Dekke Na Niura', command=self.sumut1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Bika Ambon', command=self.sumut2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def sumut1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sumatera Utara") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Dekke Na Niura.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[2] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def sumut2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sumatera Utara") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Bika Ambon.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[3] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov3(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Rendang', command=self.sumbar1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Ampiang Dadiah', command=self.sumbar2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def sumbar1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sumatera Barat") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Rendang.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[4] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def sumbar2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sumatera Barat") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Ampiang Dadiah.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[5] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov4(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Bolu Kemojo', command=self.riau1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Asidah', command=self.riau2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def riau1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Riau") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Bolu Kemojo.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[6] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def riau2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Riau") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Asidah.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[7] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov5(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Luti Gendang', command=self.kriau1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Gong gong', command=self.kriau2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def kriau1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kepulauan Riau") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Luti Gendang.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[8] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def kriau2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kepulauan Riau") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Gong Gong.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[9] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov6(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Tempoyak', command=self.jambi1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Kue Padamaran', command=self.jambi2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def jambi1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Jambi") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Tempoyak.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[10] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def jambi2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Jambi") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Padamaran.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[11] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov7(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Lepek Binti', command=self.beng1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Bagar Hiu', command=self.beng2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def beng1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Bengkulu") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Lepek Binti.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[12] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def beng2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Bengkulu") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Bagar Hiu.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[13] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov8(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Pempek Palembang', command=self.sumsel1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Tekwan Palembang', command=self.sumsel2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def sumsel1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sumatera Selatan") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Pempek Palembang.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[14] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def sumsel2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sumatera Selatan") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Tekwan Palembang.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[15] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov9(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Martabak Bangka', command=self.kbang1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Belacan Belitung', command=self.kbang2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def kbang1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Bangka Belitung") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Martabak Bangka.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[16] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def kbang2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Bangka Belitung") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Belaca Belitung.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[17] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov10(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Seruit Lampung', command=self.lamp1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Gulai Taboh', command=self.lamp2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def lamp1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Lampung") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Seruit Lampung.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[18] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def lamp2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Lampung") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Gulai Taboh.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[19] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov11(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Soto Betawi', command=self.dki1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Sayur Babanci', command=self.dki2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def dki1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional DKI Jakarta") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Soto Betawi.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[20] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def dki2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional DKI Jakarta") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Sayur Babanci.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[21] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov12(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Nasi Sumsum', command=self.ban1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Sate Bandeng', command=self.ban2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def ban1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional BAnten") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Nasi Sumsum.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[22] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def ban2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Banten") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Sate Bandeng.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[23] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov13(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Nasi Jamblang Daun Jati', command=self.jabar1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Dorokdok', command=self.jabar2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def jabar1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Jawa Barat") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Nasi Jamblang Daun Jati.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[24] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def jabar2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Jawa Barat") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Dorokdok.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[25] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov14(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Tiwul', command=self.diy1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Jadah Tempe', command=self.diy2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def diy1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional DI Yogyakarta") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Tiwul.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[26] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def diy2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional DI Yogyakarta") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Jadah Tempe.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[27] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov15(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Soto Kudus', command=self.jateng1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Nasi Gerombyang', command=self.jateng2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def jateng1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Jawa TEngah") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Soto Kudus.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[28] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def jateng2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Jawa TEngah") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Nasi Grombyang.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[29] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov16(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Rujak Cingur', command=self.jatim1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Rawon', command=self.jatim2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def jatim1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Jawa Timur") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Rujak Cingur.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[30] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def jatim2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Jawa Timur") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Rawon.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[31] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov17(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Sate Lilit', command=self.bali1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Ayam Betutu', command=self.bali2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def bali1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Bali") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Sate Lilit.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[32] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def bali2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Bali") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Ayam Betutu.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[33] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov18(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Ayam Taliwang', command=self.ntb1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Sate Bulayak', command=self.ntb2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def ntb1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional NTB") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Ayam Taliwang.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[34] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def ntb2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional NTB") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Sate Bulayak.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[35] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov19(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text="Se'i", command=self.ntt1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Tapa Kolo', command=self.ntt2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def ntt1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional NTT") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Sei.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[36] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def ntt2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional NTT") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Tapa Kolo.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[37] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov20(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Lawa', command=self.kalut1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Kepiting Soka', command=self.kalut2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def kalut1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kalimantan Utara") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Lawa.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[38] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def kalut2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kalimantan Utara") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Kepiting Soka.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[39] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov21(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Bubur Paddas Sambas', command=self.kalbar1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Asam Padas Tempoyak', command=self.kalbar2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def kalbar1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kalimantan Barat") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Bubur Paddas Sambas.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[40] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def kalbar2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kalimantan Barat") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Asam Pedas Tempoyak.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[41] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov22(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Kalumpe', command=self.kalteng1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Wadi Patin', command=self.kalteng2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def kalteng1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kalimantan Tengha") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Kalumpe.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[42] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def kalteng2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kalimantan Tengah") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Wadi Patin.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[43] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov23(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Manday', command=self.kalsel1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Gangan Asam Banjar', command=self.kalsel2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def kalsel1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kalimantan Selatan") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Manday.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[44] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def kalsel2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kalimantan Selatan") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Gangan Asam Banjar.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[45] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov24(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Ayam Cincane', command=self.kaltim1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Nasi Bekekpor', command=self.kaltim2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def kaltim1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kalimnantan Timur") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Ayam Cincane.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[46] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def kaltim2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Kalimantan Timur") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Nasi Bekepor.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[47] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov25(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Binte Biluhuta', command=self.goron1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Bilenthango', command=self.goron2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def goron1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Gorontalo") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Binte Biluhuta.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[48] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def goron2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Gorontalo") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Bilenthango.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[49] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov26(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Kelapertaar', command=self.sulut1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Tinutuan', command=self.sulut2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def sulut1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sulawesi Utara") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Klapertaart.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[50] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def sulut2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sulawesi Utara") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Tinutuan.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[51] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov27(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Apang Bugis', command=self.sulbar1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Jepa', command=self.sulbar2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def sulbar1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sulawesi Barat ") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Apang Bugis.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[52] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def sulbar2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sulawesi Barat") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Jepa.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[53] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov28(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Uta Kelo', command=self.sulteng1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Kaledo', command=self.sulteng2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def sulteng1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sulawesi Tengah") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Uta Kelo.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[54] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def sulteng2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sulawesi Tengah") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Kaledo.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[55] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov29(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Sop Konro', command=self.sulsel1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Coto Makassar', command=self.sulsel2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def sulsel1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sulawesi Selatan") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Sop Konro.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[56] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def sulsel2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sulawesi Selatan") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Coto Makassar.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[57] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov30(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Sinonggi', command=self.sulgar1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Kasoami', command=self.sulgar2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def sulgar1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sulawesi Tenggara") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Sinonggi.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[58] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def sulgar2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Sulawesi Tenggara") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Kasoami.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[59] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov31(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Gatang Kenari', command=self.malut1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Nasi Lapola', command=self.malut2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def malut1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Maluku Utara") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Gatang Kenari.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[60] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def malut2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Maluku Utara") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Nasi Lapola.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[61] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov32(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Sambal Colo-colo', command=self.malu1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Kohu-kohu', command=self.malu2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def malu1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Maluku") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Sambal Colo Colo.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[62] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def malu2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Maluku") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Kohu Kohu.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[63] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov33(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Ikan Bakar Manokwari', command=self.pabar1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Sate Ulat Sagu', command=self.pabar2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def pabar1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Papua Barat") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Ikan Bakar Manokwari.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[64] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def pabar2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Papua Barat") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Sate Ulat Sagu.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[65] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def __prov34(self): master0 = Tk() master0.minsize(width = 450, height = 100) master0.maxsize(width = 450, height = 100) master0.title("Direktori Makanan Tradisional Nusantara") master0.judul = Label(master0, text = "Pilih makanan :)", font = "Arial 16 bold") master0.judul.grid(row = 0, column = 2, columnspan = 4) master0.bprov1 = Button(master0, text='Udang Salingkuh', command=self.papua1, width = 25, height=3) master0.bprov1.grid(row = 1, column = 2, columnspan = 4) master0.bprov2 = Button(master0, text='Papeda', command=self.papua2, width = 25, height=3) master0.bprov2.grid(row = 1, column = 6, columnspan = 4) master0.mainloop() def papua1(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Papua") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Udang Selingkuh.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[66] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() def papua2(self): master2 = Tk() master2.minsize(width = 800, height = 600) master2.maxsize(width = 800, height = 600) master2.title("Makanan tradisional Papua") canvas = Canvas(master2, width = 300, height = 300) canvas.pack() img = PhotoImage(master = canvas,file="Papeda.png") canvas.create_image(5,5, anchor=NW, image=img) text1 = lst[67] text2 = Text(master2, font = "Arial 12") text2.insert(INSERT, text1) text2.pack() master2.mainloop() if __name__ == "__main__": readf() DirektoriMakanan()

41.477493

119

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8,395

72,793

5.019416

0.05277

0.029475

0.045185

0.054867

0.862689

0.829774

0

0.089873

0.294877

72,793

1,754

120

41.50114

0.731082

0.000522

0

0.721649

0

0.099997

0

1

0.071478

false

0

0.000687

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null

0

1

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1

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null

0

7

6e0451b36b332d002803b8ea51d69f44c7236e6c

19,656

py

Python

cpdb/cr/tests/views/test_cr_mobile_viewset.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

25

2018-07-20T22:31:40.000Z

2021-07-15T16:58:41.000Z

cpdb/cr/tests/views/test_cr_mobile_viewset.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

13

2018-06-18T23:08:47.000Z

2022-02-10T07:38:25.000Z

cpdb/cr/tests/views/test_cr_mobile_viewset.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

6

2018-05-17T21:59:43.000Z

2020-11-17T00:30:26.000Z

from datetime import datetime, date from django.urls import reverse from django.contrib.gis.geos import Point from mock import patch from rest_framework.test import APITestCase from rest_framework import status from robber import expect import pytz from data.factories import ( OfficerFactory, AllegationFactory, OfficerAllegationFactory, ComplainantFactory, AreaFactory, PoliceWitnessFactory, InvestigatorFactory, InvestigatorAllegationFactory, AllegationCategoryFactory, AttachmentFileFactory, OfficerBadgeNumberFactory, VictimFactory ) from data.constants import MEDIA_TYPE_DOCUMENT from cr.tests.mixins import CRTestCaseMixin from data.cache_managers import officer_cache_manager, allegation_cache_manager from email_service.constants import CR_ATTACHMENT_REQUEST from email_service.factories import EmailTemplateFactory class CRMobileViewSetTestCase(CRTestCaseMixin, APITestCase): def test_retrieve(self): area = AreaFactory(name='Lincoln Square') officer1 = OfficerFactory( id=123, first_name='Mr', last_name='Foo', gender='M', race='White', rank='Officer', appointed_date=date(2001, 1, 1), birth_year=1993, complaint_percentile=4.4, civilian_allegation_percentile=1.1, internal_allegation_percentile=2.2, trr_percentile=3.3, allegation_count=1, sustained_count=1, ) OfficerBadgeNumberFactory(officer=officer1, star='12345', current=True) allegation = AllegationFactory( crid='12345', point=Point(12, 21), incident_date=datetime(2002, 2, 28, tzinfo=pytz.utc), add1=3510, add2='Michigan Ave', city='Chicago', location='Police Communications System', beat=area, is_officer_complaint=False, summary='Summary', first_start_date=date(2003, 3, 20), first_end_date=date(2006, 5, 26) ) ComplainantFactory(allegation=allegation, gender='M', race='Black', age='18') VictimFactory(allegation=allegation, gender='M', race='Black', age=53) OfficerAllegationFactory( officer=officer1, allegation=allegation, final_finding='SU', final_outcome='Separation', start_date=date(2003, 3, 20), end_date=date(2006, 5, 26), allegation_category=AllegationCategoryFactory( category='Operation/Personnel Violations', allegation_name='Secondary/Special Employment' ) ) officer = OfficerFactory( id=3, first_name='Raymond', last_name='Piwinicki', appointed_date=date(2001, 5, 1), complaint_percentile=4.4, trr_percentile=5.5, allegation_count=1, sustained_count=1, ) OfficerAllegationFactory( officer=officer, final_finding='SU', start_date=date(2003, 2, 28), allegation__incident_date=datetime(2002, 2, 28, tzinfo=pytz.utc), allegation__is_officer_complaint=False ) PoliceWitnessFactory(officer=officer, allegation=allegation) investigator = OfficerFactory( id=1, first_name='Ellis', last_name='Skol', appointed_date=date(2001, 5, 1), complaint_percentile=6.6, civilian_allegation_percentile=7.7, internal_allegation_percentile=8.8, allegation_count=1, sustained_count=0, ) OfficerAllegationFactory( officer=investigator, final_finding='NS', start_date=date(2003, 2, 28), allegation__incident_date=datetime(2002, 2, 28, tzinfo=pytz.utc), allegation__is_officer_complaint=False ) investigator = InvestigatorFactory(officer=investigator) InvestigatorAllegationFactory( allegation=allegation, investigator=investigator, ) AttachmentFileFactory( tag='TRR', allegation=allegation, title='CR document', id='123456', url='http://cr-document.com/', file_type=MEDIA_TYPE_DOCUMENT ) AttachmentFileFactory( tag='TRR', allegation=allegation, title='CR arrest report document', url='http://cr-document.com/', file_type=MEDIA_TYPE_DOCUMENT ) AttachmentFileFactory( tag='AR', allegation=allegation, title='CR document 2', id='654321', url='http://AR-document.com/', file_type=MEDIA_TYPE_DOCUMENT ) officer_cache_manager.build_cached_columns() allegation_cache_manager.cache_data() response = self.client.get(reverse('api-v2:cr-mobile-detail', kwargs={'pk': '12345'})) expect(response.status_code).to.eq(status.HTTP_200_OK) expect(dict(response.data)).to.eq({ 'crid': '12345', 'most_common_category': { 'category': 'Operation/Personnel Violations', 'allegation_name': 'Secondary/Special Employment' }, 'coaccused': [ { 'id': 123, 'full_name': 'Mr Foo', 'rank': 'Officer', 'final_outcome': 'Separation', 'final_finding': 'Sustained', 'allegation_count': 1, 'category': 'Operation/Personnel Violations', 'percentile_allegation': '4.4000', 'percentile_allegation_civilian': '1.1000', 'percentile_allegation_internal': '2.2000', 'percentile_trr': '3.3000', } ], 'complainants': [ { 'race': 'Black', 'gender': 'Male', 'age': 18 } ], 'victims': [ { 'race': 'Black', 'gender': 'Male', 'age': 53 } ], 'point': { 'lon': 12.0, 'lat': 21.0 }, 'summary': 'Summary', 'incident_date': '2002-02-28', 'start_date': '2003-03-20', 'end_date': '2006-05-26', 'address': '3510 Michigan Ave, Chicago', 'location': 'Police Communications System', 'beat': 'Lincoln Square', 'involvements': [ { 'involved_type': 'investigator', 'officer_id': 1, 'full_name': 'Ellis Skol', 'badge': 'CPD', 'percentile_allegation': '6.6000', 'percentile_allegation_civilian': '7.7000', 'percentile_allegation_internal': '8.8000', }, { 'involved_type': 'police_witness', 'officer_id': 3, 'full_name': 'Raymond Piwinicki', 'allegation_count': 1, 'sustained_count': 1, 'percentile_trr': '5.5000', 'percentile_allegation': '4.4000', } ], 'attachments': [ { 'title': 'CR document', 'file_type': 'document', 'url': 'http://cr-document.com/', 'id': '123456', } ] }) def test_retrieve_badge(self): area = AreaFactory(name='Lincoln Square') officer1 = OfficerFactory( id=123, first_name='Mr', last_name='Foo', gender='M', race='White', rank='Officer', appointed_date=date(2001, 1, 1), birth_year=1993, complaint_percentile=4.4, civilian_allegation_percentile=1.1, internal_allegation_percentile=2.2, trr_percentile=3.3, allegation_count=1, sustained_count=1, ) OfficerBadgeNumberFactory(officer=officer1, star='12345', current=True) allegation = AllegationFactory( crid='12345', point=Point(12, 21), incident_date=datetime(2007, 2, 28, tzinfo=pytz.utc), add1=3510, add2='Michigan Ave', city='Chicago', location='Police Communications System', beat=area, is_officer_complaint=False, summary='Summary', first_start_date=date(2003, 3, 20), first_end_date=date(2006, 5, 26) ) ComplainantFactory(allegation=allegation, gender='M', race='Black', age='18') VictimFactory(allegation=allegation, gender='M', race='Black', age=53) OfficerAllegationFactory( officer=officer1, allegation=allegation, final_finding='SU', disciplined=True, final_outcome='Separation', start_date=date(2003, 3, 20), end_date=date(2006, 5, 26), allegation_category=AllegationCategoryFactory( category='Operation/Personnel Violations', allegation_name='Secondary/Special Employment' ) ) officer = OfficerFactory( id=3, first_name='Raymond', last_name='Piwinicki', appointed_date=date(2001, 5, 1), complaint_percentile=9.9, trr_percentile=5.5, allegation_count=1, sustained_count=1, ) OfficerAllegationFactory( officer=officer, final_finding='SU', start_date=date(2003, 2, 28), allegation__incident_date=datetime(2002, 2, 28, tzinfo=pytz.utc), allegation__is_officer_complaint=False ) PoliceWitnessFactory(officer=officer, allegation=allegation) investigator = OfficerFactory( id=1, first_name='Ellis', last_name='Skol', appointed_date=date(2001, 5, 1), complaint_percentile=6.6, civilian_allegation_percentile=7.7, internal_allegation_percentile=8.8, allegation_count=1, sustained_count=0, ) investigator_2 = OfficerFactory( id=2, first_name='Jerome', last_name='Finnigan', appointed_date=date(2001, 5, 1), complaint_percentile=6.6, civilian_allegation_percentile=7.7, internal_allegation_percentile=8.8, allegation_count=1, sustained_count=0, ) investigator_3 = OfficerFactory( id=4, first_name='Edward', last_name='May', appointed_date=date(2001, 5, 1), complaint_percentile=9.9, civilian_allegation_percentile=7.7, internal_allegation_percentile=8.8, allegation_count=1, sustained_count=0, ) OfficerBadgeNumberFactory(officer=investigator_2, star='456789', current=True) OfficerAllegationFactory( officer=investigator, final_finding='NS', start_date=date(2003, 2, 28), allegation__incident_date=datetime(2002, 2, 28, tzinfo=pytz.utc), allegation__is_officer_complaint=False ) investigator = InvestigatorFactory(officer=investigator) investigator_2 = InvestigatorFactory(officer=investigator_2) investigator_3 = InvestigatorFactory(officer=investigator_3) investigator_4 = InvestigatorFactory(first_name='Kevin', last_name='Osborn') InvestigatorAllegationFactory( allegation=allegation, investigator=investigator, current_star='123456' ) InvestigatorAllegationFactory( allegation=allegation, investigator=investigator_2, current_star=None ) InvestigatorAllegationFactory( allegation=allegation, investigator=investigator_3, current_star=None ) InvestigatorAllegationFactory( allegation=allegation, investigator=investigator_4, current_star=None ) AttachmentFileFactory( tag='TRR', allegation=allegation, title='CR document', id='123456', url='http://cr-document.com/', file_type=MEDIA_TYPE_DOCUMENT ) AttachmentFileFactory( tag='AR', allegation=allegation, title='CR document 2', id='654321', url='http://AR-document.com/', file_type=MEDIA_TYPE_DOCUMENT ) officer_cache_manager.build_cached_columns() allegation_cache_manager.cache_data() response = self.client.get(reverse('api-v2:cr-mobile-detail', kwargs={'pk': '12345'})) expect(response.status_code).to.eq(status.HTTP_200_OK) expect(dict(response.data)).to.eq({ 'crid': '12345', 'most_common_category': { 'category': 'Operation/Personnel Violations', 'allegation_name': 'Secondary/Special Employment' }, 'coaccused': [ { 'id': 123, 'full_name': 'Mr Foo', 'rank': 'Officer', 'final_outcome': 'Separation', 'final_finding': 'Sustained', 'allegation_count': 1, 'category': 'Operation/Personnel Violations', 'percentile_allegation': '4.4000', 'percentile_allegation_civilian': '1.1000', 'percentile_allegation_internal': '2.2000', 'percentile_trr': '3.3000', } ], 'complainants': [ { 'race': 'Black', 'gender': 'Male', 'age': 18 } ], 'victims': [ { 'race': 'Black', 'gender': 'Male', 'age': 53 } ], 'point': { 'lon': 12.0, 'lat': 21.0 }, 'summary': 'Summary', 'incident_date': '2007-02-28', 'start_date': '2003-03-20', 'end_date': '2006-05-26', 'address': '3510 Michigan Ave, Chicago', 'location': 'Police Communications System', 'beat': 'Lincoln Square', 'involvements': [ { 'involved_type': 'investigator', 'full_name': 'Kevin Osborn', 'badge': 'COPA/IPRA', }, { 'involved_type': 'investigator', 'officer_id': 4, 'full_name': 'Edward May', 'badge': 'COPA/IPRA', 'percentile_allegation': '9.9000', 'percentile_allegation_civilian': '7.7000', 'percentile_allegation_internal': '8.8000', }, { 'involved_type': 'investigator', 'officer_id': 2, 'full_name': 'Jerome Finnigan', 'badge': 'CPD', 'percentile_allegation': '6.6000', 'percentile_allegation_civilian': '7.7000', 'percentile_allegation_internal': '8.8000', }, { 'involved_type': 'investigator', 'officer_id': 1, 'full_name': 'Ellis Skol', 'badge': 'CPD', 'percentile_allegation': '6.6000', 'percentile_allegation_civilian': '7.7000', 'percentile_allegation_internal': '8.8000', }, { 'involved_type': 'police_witness', 'officer_id': 3, 'full_name': 'Raymond Piwinicki', 'allegation_count': 1, 'sustained_count': 1, 'percentile_allegation': '9.9000', 'percentile_trr': '5.5000', } ], 'attachments': [ { 'title': 'CR document', 'file_type': 'document', 'url': 'http://cr-document.com/', 'id': '123456', } ] }) def test_retrieve_not_found(self): response = self.client.get(reverse('api-v2:cr-mobile-detail', kwargs={'pk': '45678'})) expect(response.status_code).to.eq(status.HTTP_404_NOT_FOUND) @patch('cr.views.send_attachment_request_email') def test_request_document(self, mock_send_attachment_request_email): EmailTemplateFactory(type=CR_ATTACHMENT_REQUEST) AllegationFactory(crid='112233') response = self.client.post( reverse('api-v2:cr-mobile-request-document', kwargs={'pk': '112233'}), {'email': 'valid_email@example.com'} ) expect(response.status_code).to.eq(status.HTTP_200_OK) expect(response.data).to.eq({ 'message': 'Thanks for subscribing', 'crid': '112233' }) expect(mock_send_attachment_request_email).to.be.called_once_with( 'valid_email@example.com', attachment_type='cr_request', pk='112233', ) def test_request_same_document_twice(self): EmailTemplateFactory(type=CR_ATTACHMENT_REQUEST) allegation = AllegationFactory(crid='112233') self.client.post( reverse('api-v2:cr-mobile-request-document', kwargs={'pk': allegation.crid}), {'email': 'valid_email@example.com'} ) response2 = self.client.post( reverse('api-v2:cr-mobile-request-document', kwargs={'pk': allegation.crid}), {'email': 'valid_email@example.com'} ) expect(response2.status_code).to.eq(status.HTTP_400_BAD_REQUEST) expect(response2.data).to.eq({ 'message': 'Email already added', 'crid': '112233' }) def test_request_document_without_email(self): AllegationFactory(crid='321') response = self.client.post(reverse('api-v2:cr-mobile-request-document', kwargs={'pk': 321})) expect(response.status_code).to.eq(status.HTTP_400_BAD_REQUEST) expect(response.data).to.eq({ 'message': 'Please enter a valid email' }) def test_request_document_with_invalid_email(self): AllegationFactory(crid='321') response = self.client.post(reverse('api-v2:cr-mobile-request-document', kwargs={'pk': 321}), {'email': 'invalid@email'}) expect(response.status_code).to.eq(status.HTTP_400_BAD_REQUEST) expect(response.data).to.eq({ 'message': 'Please enter a valid email' }) def test_request_document_with_invalid_allegation(self): response = self.client.post(reverse('api-v2:cr-mobile-request-document', kwargs={'pk': 321})) expect(response.status_code).to.eq(status.HTTP_404_NOT_FOUND)

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6e15778b6aa2fdc1db68325173a20c24ddb19ca0

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py

Python

utils/tests.py

none-da/zeshare

6c13cd3bd9d82d89f53d4a8b287fe2c30f1d3779

[ "BSD-3-Clause" ]

null

utils/tests.py

none-da/zeshare

6c13cd3bd9d82d89f53d4a8b287fe2c30f1d3779

[ "BSD-3-Clause" ]

null

utils/tests.py

none-da/zeshare

6c13cd3bd9d82d89f53d4a8b287fe2c30f1d3779

[ "BSD-3-Clause" ]

1

2021-04-12T11:43:38.000Z

from utils.alltests.models_tests import * from utils.alltests.views_tests import *

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py

Python

source/nomenclator/dialog/__init__.py

buddly27/nomenclator-nuke

783a9ff9bba0a974cf4532ca5c14bb3fc0312af9

[ "MIT" ]

11

2021-09-06T15:41:28.000Z

2022-03-21T23:52:59.000Z

source/nomenclator/dialog/__init__.py

buddly27/nomenclator-nuke

783a9ff9bba0a974cf4532ca5c14bb3fc0312af9

[ "MIT" ]

2

2021-09-14T02:56:55.000Z

2021-09-14T03:00:03.000Z

source/nomenclator/dialog/__init__.py

buddly27/nomenclator-nuke

783a9ff9bba0a974cf4532ca5c14bb3fc0312af9

[ "MIT" ]

2

2021-09-07T06:53:06.000Z

2021-09-13T19:20:22.000Z

# -*- coding: utf-8 -*- from .comp_manager_dialog import CompoManagerDialog from .outputs_manager_dialog import OutputsManagerDialog from .project_manager_dialog import ProjectManagerDialog from .settings_dialog import SettingsDialog

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py

Python

tests/unit/test_virtual_service.py

Dannyzen/python-kemptech-api

7836312df517c128f48decbd9db39727a0358d97

[ "Apache-2.0" ]

null

tests/unit/test_virtual_service.py

Dannyzen/python-kemptech-api

7836312df517c128f48decbd9db39727a0358d97

[ "Apache-2.0" ]

null

tests/unit/test_virtual_service.py

Dannyzen/python-kemptech-api

7836312df517c128f48decbd9db39727a0358d97

[ "Apache-2.0" ]

1

2021-05-20T21:41:36.000Z

from nose.tools import (assert_equal, assert_raises, assert_in, assert_is_instance, assert_not_equal) # handle py3 and py2 cases: try: import unittest.mock as mock except ImportError: import mock patch = mock.patch sentinel = mock.sentinel from python_kemptech_api import objects import python_kemptech_api.exceptions as exceptions from python_kemptech_api.objects import VirtualService, RealServer ValidationError = exceptions.ValidationError class Test_VirtualService: def setup(self): self.lm_info = { "endpoint": "https://1.1.1.1:443/access", "ip_address": "1.1.1.1", "auth": ("bal", "2fourall"), } self.vs = VirtualService(self.lm_info, "1.1.1.2") # Contains no subvs's self.vs_get_response = "<Response stat=\"200\" code=\"ok\"> <Success> <Data> <Status>Down</Status> <Index>1</Index> <VSAddress>10.154.75.123</VSAddress> <VSPort>80</VSPort> <Enable>Y</Enable> <SSLReverse>N</SSLReverse> <SSLReencrypt>N</SSLReencrypt> <Intercept>N</Intercept> <InterceptOpts> <Opt>opnormal</Opt> <Opt>auditrelevant</Opt> <Opt>reqdatadisable</Opt> <Opt>resdatadisable</Opt> </InterceptOpts> <AlertThreshold>0</AlertThreshold> <Transactionlimit>0</Transactionlimit> <Transparent>Y</Transparent> <SubnetOriginating>N</SubnetOriginating> <ServerInit>0</ServerInit> <StartTLSMode>0</StartTLSMode> <Idletime>0</Idletime> <Cache>N</Cache> <Compress>N</Compress> <Verify>0</Verify> <UseforSnat>N</UseforSnat> <ForceL7>Y</ForceL7> <MultiConnect>N</MultiConnect> <ClientCert>0</ClientCert> <ErrorCode>0</ErrorCode> <CheckUse1.1>N</CheckUse1.1> <MatchLen>0</MatchLen> <CheckUseGet>0</CheckUseGet> <SSLRewrite>0</SSLRewrite> <VStype>http</VStype> <FollowVSID>0</FollowVSID> <Protocol>tcp</Protocol> <Schedule>rr</Schedule> <CheckType>http</CheckType> <PersistTimeout>0</PersistTimeout> <CheckPort>0</CheckPort> <NRules>0</NRules> <NRequestRules>0</NRequestRules> <NResponseRules>0</NResponseRules> <NPreProcessRules>0</NPreProcessRules> <EspEnabled>N</EspEnabled> <InputAuthMode>0</InputAuthMode> <OutputAuthMode>0</OutputAuthMode> <MasterVS>0</MasterVS> <MasterVSID>0</MasterVSID> <AddVia>0</AddVia> <QoS>0</QoS> <TlsType>0</TlsType> <NeedHostName>N</NeedHostName> <OCSPVerify>N</OCSPVerify> <EnhancedHealthChecks>N</EnhancedHealthChecks> <RsMinimum>0</RsMinimum> <NumberOfRSs>0</NumberOfRSs> </Data> </Success> </Response>" # Contains default cert self.vs_get_response_defaultcert = "<Response stat=\"200\" code=\"ok\"> <Success> <Data> <Status>Down</Status> <Index>1</Index> <VSAddress>10.154.75.123</VSAddress> <VSPort>80</VSPort> <Enable>Y</Enable> <SSLReverse>N</SSLReverse> <SSLReencrypt>N</SSLReencrypt> <Intercept>N</Intercept> <InterceptOpts> <Opt>opnormal</Opt> <Opt>auditrelevant</Opt> <Opt>reqdatadisable</Opt> <Opt>resdatadisable</Opt> </InterceptOpts> <AlertThreshold>0</AlertThreshold> <Transactionlimit>0</Transactionlimit> <Transparent>Y</Transparent> <SubnetOriginating>N</SubnetOriginating> <ServerInit>0</ServerInit> <StartTLSMode>0</StartTLSMode> <Idletime>0</Idletime> <Cache>N</Cache> <Compress>N</Compress> <Verify>0</Verify> <UseforSnat>N</UseforSnat> <ForceL7>Y</ForceL7> <MultiConnect>N</MultiConnect> <ClientCert>0</ClientCert> <ErrorCode>0</ErrorCode> <CheckUse1.1>N</CheckUse1.1> <MatchLen>0</MatchLen> <CheckUseGet>0</CheckUseGet> <SSLRewrite>0</SSLRewrite> <VStype>http</VStype> <FollowVSID>0</FollowVSID> <Protocol>tcp</Protocol> <Schedule>rr</Schedule> <CheckType>http</CheckType> <PersistTimeout>0</PersistTimeout> <CheckPort>0</CheckPort> <NRules>0</NRules> <NRequestRules>0</NRequestRules> <NResponseRules>0</NResponseRules> <NPreProcessRules>0</NPreProcessRules> <EspEnabled>N</EspEnabled> <InputAuthMode>0</InputAuthMode> <OutputAuthMode>0</OutputAuthMode> <MasterVS>0</MasterVS> <MasterVSID>0</MasterVSID> <AddVia>0</AddVia> <QoS>0</QoS> <TlsType>0</TlsType> <NeedHostName>N</NeedHostName> <OCSPVerify>N</OCSPVerify> <EnhancedHealthChecks>N</EnhancedHealthChecks> <RsMinimum>0</RsMinimum> <NumberOfRSs>0</NumberOfRSs> <SSLAcceleration>Y</SSLAcceleration> <CertFile>f5d7b5869a48de4e30930785dcff3657</CertFile> </Data> </Success> </Response>" # Contains one cert self.vs_get_response_singlecert = "<Response stat=\"200\" code=\"ok\"> <Success> <Data> <Status>Down</Status> <Index>1</Index> <VSAddress>10.154.75.123</VSAddress> <VSPort>80</VSPort> <Enable>Y</Enable> <SSLReverse>N</SSLReverse> <SSLReencrypt>N</SSLReencrypt> <Intercept>N</Intercept> <InterceptOpts> <Opt>opnormal</Opt> <Opt>auditrelevant</Opt> <Opt>reqdatadisable</Opt> <Opt>resdatadisable</Opt> </InterceptOpts> <AlertThreshold>0</AlertThreshold> <Transactionlimit>0</Transactionlimit> <Transparent>Y</Transparent> <SubnetOriginating>N</SubnetOriginating> <ServerInit>0</ServerInit> <StartTLSMode>0</StartTLSMode> <Idletime>0</Idletime> <Cache>N</Cache> <Compress>N</Compress> <Verify>0</Verify> <UseforSnat>N</UseforSnat> <ForceL7>Y</ForceL7> <MultiConnect>N</MultiConnect> <ClientCert>0</ClientCert> <ErrorCode>0</ErrorCode> <CheckUse1.1>N</CheckUse1.1> <MatchLen>0</MatchLen> <CheckUseGet>0</CheckUseGet> <SSLRewrite>0</SSLRewrite> <VStype>http</VStype> <FollowVSID>0</FollowVSID> <Protocol>tcp</Protocol> <Schedule>rr</Schedule> <CheckType>http</CheckType> <PersistTimeout>0</PersistTimeout> <CheckPort>0</CheckPort> <NRules>0</NRules> <NRequestRules>0</NRequestRules> <NResponseRules>0</NResponseRules> <NPreProcessRules>0</NPreProcessRules> <EspEnabled>N</EspEnabled> <InputAuthMode>0</InputAuthMode> <OutputAuthMode>0</OutputAuthMode> <MasterVS>0</MasterVS> <MasterVSID>0</MasterVSID> <AddVia>0</AddVia> <QoS>0</QoS> <TlsType>0</TlsType> <NeedHostName>N</NeedHostName> <OCSPVerify>N</OCSPVerify> <EnhancedHealthChecks>N</EnhancedHealthChecks> <RsMinimum>0</RsMinimum> <NumberOfRSs>0</NumberOfRSs> <SSLAcceleration>Y</SSLAcceleration> <CertFile>cert1</CertFile> </Data> </Success> </Response>" # Contains multiple certs self.vs_get_response_multicert = "<Response stat=\"200\" code=\"ok\"> <Success> <Data> <Status>Down</Status> <Index>1</Index> <VSAddress>10.154.75.123</VSAddress> <VSPort>80</VSPort> <Enable>Y</Enable> <SSLReverse>N</SSLReverse> <SSLReencrypt>N</SSLReencrypt> <Intercept>N</Intercept> <InterceptOpts> <Opt>opnormal</Opt> <Opt>auditrelevant</Opt> <Opt>reqdatadisable</Opt> <Opt>resdatadisable</Opt> </InterceptOpts> <AlertThreshold>0</AlertThreshold> <Transactionlimit>0</Transactionlimit> <Transparent>Y</Transparent> <SubnetOriginating>N</SubnetOriginating> <ServerInit>0</ServerInit> <StartTLSMode>0</StartTLSMode> <Idletime>0</Idletime> <Cache>N</Cache> <Compress>N</Compress> <Verify>0</Verify> <UseforSnat>N</UseforSnat> <ForceL7>Y</ForceL7> <MultiConnect>N</MultiConnect> <ClientCert>0</ClientCert> <ErrorCode>0</ErrorCode> <CheckUse1.1>N</CheckUse1.1> <MatchLen>0</MatchLen> <CheckUseGet>0</CheckUseGet> <SSLRewrite>0</SSLRewrite> <VStype>http</VStype> <FollowVSID>0</FollowVSID> <Protocol>tcp</Protocol> <Schedule>rr</Schedule> <CheckType>http</CheckType> <PersistTimeout>0</PersistTimeout> <CheckPort>0</CheckPort> <NRules>0</NRules> <NRequestRules>0</NRequestRules> <NResponseRules>0</NResponseRules> <NPreProcessRules>0</NPreProcessRules> <EspEnabled>N</EspEnabled> <InputAuthMode>0</InputAuthMode> <OutputAuthMode>0</OutputAuthMode> <MasterVS>0</MasterVS> <MasterVSID>0</MasterVSID> <AddVia>0</AddVia> <QoS>0</QoS> <TlsType>0</TlsType> <NeedHostName>N</NeedHostName> <OCSPVerify>N</OCSPVerify> <EnhancedHealthChecks>N</EnhancedHealthChecks> <RsMinimum>0</RsMinimum> <NumberOfRSs>0</NumberOfRSs> <SSLAcceleration>Y</SSLAcceleration> <CertFile>cert1 cert2 cert3 cert4</CertFile> </Data> </Success> </Response>" # real server 'get' self.rs_get_response = "<Response stat=\"200\" code=\"ok\"> <Success> <Data> <Rs> <Status>Down</Status> <VSIndex>0</VSIndex> <RsIndex>1</RsIndex> <Addr>10.154.123.13</Addr> <Port>80</Port> <Forward>nat</Forward> <Weight>1000</Weight> <Limit>0</Limit> <Enable>Y</Enable> <Critical>N</Critical> </Rs> </Data> </Success> </Response>" # A 'get' of a subvs self.subvs_get_response = "<Response stat=\"200\" code=\"ok\"> <Success> <Data> <Status>Down</Status> <Index>2</Index> <VSPort>0</VSPort> <Enable>Y</Enable> <SSLReverse>N</SSLReverse> <SSLReencrypt>N</SSLReencrypt> <Intercept>N</Intercept> <InterceptOpts> <Opt>opnormal</Opt> <Opt>auditnone</Opt> <Opt>reqdatadisable</Opt> <Opt>resdatadisable</Opt> </InterceptOpts> <AlertThreshold>0</AlertThreshold> <Transactionlimit>0</Transactionlimit> <Transparent>Y</Transparent> <SubnetOriginating>N</SubnetOriginating> <ServerInit>0</ServerInit> <StartTLSMode>0</StartTLSMode> <Idletime>0</Idletime> <Cache>N</Cache> <Compress>N</Compress> <Verify>0</Verify> <UseforSnat>N</UseforSnat> <ForceL7>Y</ForceL7> <MultiConnect>N</MultiConnect> <ClientCert>0</ClientCert> <ErrorCode>0</ErrorCode> <CheckUse1.1>N</CheckUse1.1> <MatchLen>0</MatchLen> <CheckUseGet>0</CheckUseGet> <SSLRewrite>0</SSLRewrite> <VStype>http</VStype> <FollowVSID>0</FollowVSID> <Protocol>tcp</Protocol> <Schedule>rr</Schedule> <CheckType>http</CheckType> <PersistTimeout>0</PersistTimeout> <CheckPort>0</CheckPort> <NRules>0</NRules> <NRequestRules>0</NRequestRules> <NResponseRules>0</NResponseRules> <NPreProcessRules>0</NPreProcessRules> <EspEnabled>N</EspEnabled> <InputAuthMode>0</InputAuthMode> <OutputAuthMode>0</OutputAuthMode> <MasterVS>0</MasterVS> <MasterVSID>1</MasterVSID> <AddVia>0</AddVia> <QoS>0</QoS> <TlsType>0</TlsType> <NeedHostName>N</NeedHostName> <OCSPVerify>N</OCSPVerify> <EnhancedHealthChecks>N</EnhancedHealthChecks> <RsMinimum>0</RsMinimum> <NumberOfRSs>0</NumberOfRSs> </Data> </Success> </Response>" # A parent vs with a subvs newly created self.create_subvs_get_response = "<Response stat=\"200\" code=\"ok\"> <Success> <Data> <Status>Down</Status> <Index>1</Index> <VSAddress>10.154.75.123</VSAddress> <VSPort>80</VSPort> <Enable>Y</Enable> <SSLReverse>N</SSLReverse> <SSLReencrypt>N</SSLReencrypt> <Intercept>N</Intercept> <InterceptOpts> <Opt>opnormal</Opt> <Opt>auditrelevant</Opt> <Opt>reqdatadisable</Opt> <Opt>resdatadisable</Opt> </InterceptOpts> <AlertThreshold>0</AlertThreshold> <Transactionlimit>0</Transactionlimit> <Transparent>Y</Transparent> <SubnetOriginating>N</SubnetOriginating> <ServerInit>0</ServerInit> <StartTLSMode>0</StartTLSMode> <Idletime>0</Idletime> <Cache>N</Cache> <Compress>N</Compress> <Verify>0</Verify> <UseforSnat>N</UseforSnat> <ForceL7>Y</ForceL7> <MultiConnect>N</MultiConnect> <ClientCert>0</ClientCert> <ErrorCode>0</ErrorCode> <CheckUse1.1>N</CheckUse1.1> <MatchLen>0</MatchLen> <CheckUseGet>0</CheckUseGet> <SSLRewrite>0</SSLRewrite> <VStype>http</VStype> <FollowVSID>0</FollowVSID> <Protocol>tcp</Protocol> <Schedule>rr</Schedule> <CheckType>http</CheckType> <PersistTimeout>0</PersistTimeout> <CheckPort>0</CheckPort> <NRules>0</NRules> <NRequestRules>0</NRequestRules> <NResponseRules>0</NResponseRules> <NPreProcessRules>0</NPreProcessRules> <EspEnabled>N</EspEnabled> <InputAuthMode>0</InputAuthMode> <OutputAuthMode>0</OutputAuthMode> <MasterVS>1</MasterVS> <MasterVSID>0</MasterVSID> <AddVia>0</AddVia> <QoS>0</QoS> <TlsType>0</TlsType> <NeedHostName>N</NeedHostName> <OCSPVerify>N</OCSPVerify> <RsMinimum>0</RsMinimum> <NumberOfRSs>1</NumberOfRSs> <SubVS> <Status>Down</Status> <VSIndex>2</VSIndex> <RsIndex>1</RsIndex> <Name>-</Name> <Forward>nat</Forward> <Weight>1000</Weight> <Limit>0</Limit> <Enable>Y</Enable> <Critical>N</Critical> </SubVS> </Data> </Success> </Response>" def test_init_with_no_endpoint(self): lm_info_with_no_endpoint = {"ip_address": "1.1.1.1"} VirtualService(self.lm_info, "1.1.1.2") with assert_raises(exceptions.VirtualServiceMissingLoadmasterInfo): VirtualService(lm_info_with_no_endpoint, "1.1.1.2") def test_init_with_no_ipaddress(self): lm_info_with_no_ip_address = {"endpoint": "https://1.1.1.1:443/access"} VirtualService(self.lm_info, "1.1.1.2") with assert_raises(exceptions.VirtualServiceMissingLoadmasterInfo): VirtualService(lm_info_with_no_ip_address, "1.1.1.2") def test_str(self): assert_equal(str(self.vs), "Virtual Service TCP 1.1.1.2:80 on " "LoadMaster 1.1.1.1") def test_get_base_parameters(self): base_params = self.vs._get_base_parameters() expected_params = { "vs": "1.1.1.2", "port": 80, "prot": "tcp", } assert_equal(base_params, expected_params) self.vs.index = 1 base_params = self.vs._get_base_parameters() expected_params = { "vs": 1, } assert_equal(base_params, expected_params) def test_to_api_dict(self): actual = self.vs.to_api_dict() expected = { "vs": "1.1.1.2", "port": 80, "prot": "tcp", } assert_equal(actual, expected) def test_to_dict(self): self.vs._ignore = None actual = self.vs.to_dict() expected = { "endpoint": "https://1.1.1.1:443/access", "ip_address": "1.1.1.1", "vs": "1.1.1.2", "port": 80, "prot": "tcp", "auth": ("bal", "2fourall"), "subvs_entries": [], "real_servers": [], } print(actual) assert_equal(actual, expected) def test_create_sub_virtual_service(self): sub_vs = self.vs.create_sub_virtual_service() actual = sub_vs._is_sub_vs expected = True assert_equal(actual, expected) def test_subvs_cant_create_sub_virtual_service(self): sub_vs = self.vs.create_sub_virtual_service() with assert_raises(exceptions.SubVsCannotCreateSubVs): sub_vs.create_sub_virtual_service() def test_vs_save_certfile_list(self): with patch.object(VirtualService, "_get") as _get: _get.return_value = self.vs_get_response_multicert self.vs.sslacceleration = "Y" self.vs.certfile = ["cert1", "cert2", "cert3", "cert4"] # use update=True to skip some code not in test for this case self.vs.save(update=True) expected = ["cert1", "cert2", "cert3", "cert4"] actual = self.vs.certfile assert_equal(actual, expected) def test_vs_save_certfile_str(self): with patch.object(VirtualService, "_get") as _get: _get.return_value = self.vs_get_response_singlecert print(self.vs.__repr__()) self.vs.sslacceleration = "Y" self.vs.certfile = "cert1" # use update=True to skip some code not in test for this case self.vs.save(update=True) print(self.vs.__repr__()) expected = ["cert1"] actual = self.vs.certfile assert_equal(actual, expected) def test_vs_save_certfile_None(self): with patch.object(VirtualService, "_get") as _get: _get.return_value = self.vs_get_response_defaultcert self.vs.sslacceleration = "N" self.vs.certfile = "" # use update=True to skip some code not in test for this case self.vs.save(update=True) expected = [] actual = self.vs.certfile assert_equal(actual, expected) def test_vs_save_persist(self): with patch.object(VirtualService, "_get") as _get: _get.return_value = self.vs_get_response self.vs.persist = None # use update=True to skip some code not in test for this case self.vs.save(update=True) expected = None actual = self.vs.persisttimeout assert_equal(actual, expected) def test_save_add_normal_vs(self): with patch.object(VirtualService, "_get") as _get: _get.return_value = self.vs_get_response expected = None actual = self.vs.index assert_equal(actual, expected) self.vs.save() expected = "1" actual = self.vs.index assert_equal(actual, expected) def test_save_add_sub_vs(self): with patch.object(VirtualService, "_get") as _get: # set the index to pretend the parent vs has already been "saved" self.vs.index = 1 subvs = self.vs.create_sub_virtual_service() _get.side_effect = [self.vs_get_response, self.create_subvs_get_response, self.subvs_get_response] # This will run through the big "Hell, thy name be subvs" block in VirtualService's save method subvs.save() expected = "2" actual = subvs.index assert_equal(actual, expected) expected = [] actual = subvs.subvs_data assert_not_equal(actual, expected) def test_save_update_sub_vs(self): with patch.object(VirtualService, "_get") as _get: with patch.object(VirtualService, "_subvs_to_dict") as _subvs_to_dict: _subvs_to_dict.return_value = { "vs": "1", "rs": "!1", "name": "asdf", "forward": "asdf", "weight": "sdf", "limit": "sdf", "critical": "sdf", "enable": "sdf", } # set the index to pretend the parent vs has already been "saved" self.vs.index = 1 subvs = self.vs.create_sub_virtual_service() _get.return_value = self.subvs_get_response subvs.save(update=True) expected = "2" actual = subvs.index assert_equal(actual, expected) expected = [] actual = subvs.subvs_data assert_not_equal(actual, expected) class Test_get_real_servers: def setup(self): self.lm_info = { "endpoint": "https://1.1.1.1:443/access", "ip_address": "1.1.1.1", "auth": ("bal", "2fourall"), } self.vs = VirtualService(self.lm_info, "1.1.1.2") def test_data_exists(self): with patch.object(VirtualService, 'build_real_server') as build_real_server: with patch.object(objects, 'get_data') as get_data: with patch.object(VirtualService, '_get'): build_real_server.side_effect = sorted get_data. return_value = {'Rs': ['ba', 'ed']} res = self.vs.get_real_servers() expected = [['a','b'], ['d','e']] assert_equal(res, expected) def test_no_data_exists(self): with patch.object(VirtualService, 'build_real_server') as build_real_server: with patch.object(objects, 'get_data') as get_data: with patch.object(VirtualService, '_get'): build_real_server.side_effect = sorted get_data.return_value = {} res = self.vs.get_real_servers() expected = [] assert_equal(res, expected) class Test_get_real_server: def setup(self): self.lm_info = { "endpoint": "https://1.1.1.1:443/access", "ip_address": "1.1.1.1", "auth": ("bal", "2fourall"), } self.vs = VirtualService(self.lm_info, "1.1.1.2") def test_with_index_ok(self): with patch.object(VirtualService, 'build_real_server') as build_real_server: with patch.object(objects, 'get_data'): with patch.object(VirtualService, '_get'): self.vs.index = self build_real_server.return_value = sentinel.rs res = self.vs.get_real_server('1.1.1.1', 80) assert_equal(res, sentinel.rs) def test_with_index_invalid_port(self): with patch.object(VirtualService, 'build_real_server') as build_real_server: with patch.object(objects, 'get_data'): with patch.object(VirtualService, '_get'): self.vs.index = self build_real_server.return_value = sentinel.rs with assert_raises(ValidationError): self.vs.get_real_server('1.1.1.1', 'junk') def test_without_index_ok(self): with patch.object(VirtualService, 'build_real_server') as build_real_server: with patch.object(objects, 'get_data'): with patch.object(VirtualService, '_get'): self.vs.index = None build_real_server.return_value = sentinel.rs res = self.vs.get_real_server('1.1.1.1', 80) assert_equal(res, sentinel.rs) def test_without_index_invalid_port(self): with patch.object(VirtualService, 'build_real_server') as build_real_server: with patch.object(objects, 'get_data'): with patch.object(VirtualService, '_get'): self.vs.index = None build_real_server.return_value = sentinel.rs with assert_raises(ValidationError): self.vs.get_real_server('1.1.1.1.', 'junk') class Test_build_real_server: def setup(self): self.lm_info = { "endpoint": "https://1.1.1.1:443/access", "ip_address": "1.1.1.1", "auth": ("bal", "2fourall"), } self.vs = VirtualService(self.lm_info, "1.1.1.2") def test_no_Addr(self): server = {"Port": 80} with assert_raises(ValidationError) as err: self.vs.build_real_server(server) assert_in('Addr', str(err.exception)) def test_no_Port(self): server = {"Addr": '1.1.1.1'} with assert_raises(ValidationError) as err: self.vs.build_real_server(server) assert_in('Port', str(err.exception)) def test_ok(self): server = {"Addr": '1.1.1.1', "Port": 80} res = self.vs.build_real_server(server) assert_is_instance(res, RealServer)

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7

95396547c3d5c16f9ed0b9997057772e365950ae

1,799

py

Python

blog/migrations/0005_auto_20201008_1805.py

JiajiaHuang/smonus

95ec209ae3562ea73ee9ce4c22a0d3a3f0975210

[ "Unlicense" ]

null

blog/migrations/0005_auto_20201008_1805.py

JiajiaHuang/smonus

95ec209ae3562ea73ee9ce4c22a0d3a3f0975210

[ "Unlicense" ]

null

blog/migrations/0005_auto_20201008_1805.py

JiajiaHuang/smonus

95ec209ae3562ea73ee9ce4c22a0d3a3f0975210

[ "Unlicense" ]

null

# Generated by Django 2.2.1 on 2020-10-08 10:05 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('blog', '0004_auto_20201003_2247'), ] operations = [ migrations.AddField( model_name='channel', name='updated', field=models.DateTimeField(auto_now=True, verbose_name='修改时间'), ), migrations.AlterField( model_name='article', name='created', field=models.DateTimeField(default=django.utils.timezone.now, verbose_name='创建时间'), ), migrations.AlterField( model_name='article', name='updated', field=models.DateTimeField(auto_now=True, verbose_name='修改时间'), ), migrations.AlterField( model_name='attachment', name='Created', field=models.DateTimeField(default=django.utils.timezone.now, verbose_name='创建时间'), ), migrations.AlterField( model_name='attachment', name='Updated', field=models.DateTimeField(auto_now=True, verbose_name='更新时间'), ), migrations.AlterField( model_name='channel', name='created', field=models.DateTimeField(default=django.utils.timezone.now, verbose_name='创建时间'), ), migrations.AlterField( model_name='tagsmodels', name='tags_created', field=models.DateTimeField(default=django.utils.timezone.now, verbose_name='创建时间'), ), migrations.AlterField( model_name='tagsmodels', name='tags_updated', field=models.DateTimeField(auto_now=True, verbose_name='更新时间'), ), ]

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9

95e9c5585303c7bd303fc979afb0a10b96ec264e

3,965

py

Python

test/pyaz/sql/dw/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

test/pyaz/sql/dw/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

9

2021-09-24T16:37:24.000Z

2021-12-24T00:39:19.000Z

test/pyaz/sql/dw/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

import json, subprocess from ... pyaz_utils import get_cli_name, get_params def create(__CATALOG_COLLATION=None, collation=None, __ELASTIC_POOL_ID=None, __LICENSE_TYPE=None, max_size=None, service_objective=None, __RESTORE_POINT_IN_TIME=None, __SAMPLE_NAME=None, __SKU=None, __SOURCE_DATABASE_DELETION_DATE=None, tags=None, zone_redundant=None, __AUTO_PAUSE_DELAY=None, __MIN_CAPACITY=None, __COMPUTE_MODEL=None, __READ_SCALE=None, __HIGH_AVAILABILITY_REPLICA_COUNT=None, backup_storage_redundancy=None, __MAINTENANCE_CONFIGURATION_ID=None, __IS_LEDGER_ON=None, __CAPACITY=None, __FAMILY=None, __TIER=None, name, server, resource_group, no_wait=None): params = get_params(locals()) command = "az sql dw create " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def show(resource_group, server, name): params = get_params(locals()) command = "az sql dw show " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def list(server, resource_group): params = get_params(locals()) command = "az sql dw list " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def delete(resource_group, server, name, yes=None, no_wait=None): params = get_params(locals()) command = "az sql dw delete " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def pause(name, server, resource_group): params = get_params(locals()) command = "az sql dw pause " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def resume(name, server, resource_group): params = get_params(locals()) command = "az sql dw resume " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def update(resource_group, server, name, max_size=None, service_objective=None, set=None, add=None, remove=None, force_string=None, no_wait=None): params = get_params(locals()) command = "az sql dw update " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr)

38.872549

575

0.682219

503

3,965

5.206759

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0.074838

0.053456

0.056128

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0

0.00443

0.203026

3,965

101

576

39.257426

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0

0.827957

0

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0.021505

null

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null

0

1

0

1

0

null

0

1

0

7

c299dc043a3ee18eefb82d5c320399ae1ce7bb70

32

py

Python

numbamisc/utils/__init__.py

MSeifert04/numbamisc

4141ee524f077299f57d0285110debbdcdba0013

[ "Apache-2.0" ]

4

2016-12-01T02:27:45.000Z

2021-09-06T11:37:37.000Z

numbamisc/utils/__init__.py

MSeifert04/numbamisc

4141ee524f077299f57d0285110debbdcdba0013

[ "Apache-2.0" ]

1

2020-10-29T19:51:47.000Z

2020-11-04T21:14:01.000Z

numbamisc/utils/__init__.py

MSeifert04/numbamisc

4141ee524f077299f57d0285110debbdcdba0013

[ "Apache-2.0" ]

null

from ._generatefilters import *

16

31

0.8125

3

32

8.333333

1

0

0.125

32

1

32

0.892857

0

1

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true

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1

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null

0

1

0

1

0

1

0

7

c2db62382fb08b36c1b3bbf64acecafb9ebb26a7

388

py

Python

ics_demo/dao/__init__.py

lielongxingkong/ics-demo

21a08945f3983eb409916a7380549f74e3ba5171

[ "MIT" ]

null

ics_demo/dao/__init__.py

lielongxingkong/ics-demo

21a08945f3983eb409916a7380549f74e3ba5171

[ "MIT" ]

null

ics_demo/dao/__init__.py

lielongxingkong/ics-demo

21a08945f3983eb409916a7380549f74e3ba5171

[ "MIT" ]

null

from db import init_db from interfaces.demo import rabbit as rabbit_dao from interfaces.demo import carrot as carrot_dao from interfaces.demo import carrot as corps_dao from interfaces import host as host_dao from interfaces import blockdevice as block_dao from interfaces.vsan import mon as mon_dao from interfaces.vsan import osd as osd_dao from interfaces.vsan import vsan as vsan_dao

38.8

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0.850515

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388

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0.224299

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1

0

null

0

1

0

1

0

1

0

7

c2e4088afea88aafa4dedd93b2474372054dc971

143

py

Python

AutomatedParking/AutomatedParking/models.py

COMP-SCI-72/Automated-Parking-System

8abc462e7d95daf485d2f99b13000ae6119331f3

[ "Apache-2.0" ]

null

AutomatedParking/AutomatedParking/models.py

COMP-SCI-72/Automated-Parking-System

8abc462e7d95daf485d2f99b13000ae6119331f3

[ "Apache-2.0" ]

null

AutomatedParking/AutomatedParking/models.py

COMP-SCI-72/Automated-Parking-System

8abc462e7d95daf485d2f99b13000ae6119331f3

[ "Apache-2.0" ]

null

from django.db import models class User(models.Model): pass class Car(models.Model): pass class Parking(models.Model): pass

9.533333

28

0.685315

20

143

4.9

0.55

0.336735

0.459184

0.408163

0

0.223776

143

14

29

10.214286

0.882883

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true

0.428571

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0.571429

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null

1

0

null

0

1

0

1

0

7

6c16befe9f689bf20b5b88dc6a63119f677b759b

89

py

Python

tests/test_person.py

FOR-THE-HORDE-OPUS/Orgrimmar

5e45016e029574fbf959e122055b93ae1c300f1b

[ "MIT" ]

null

tests/test_person.py

FOR-THE-HORDE-OPUS/Orgrimmar

5e45016e029574fbf959e122055b93ae1c300f1b

[ "MIT" ]

5

2020-11-13T18:36:55.000Z

2022-02-10T01:12:56.000Z

tests/test_person.py

FOR-THE-HORDE-OPUS/Orgrimmar

5e45016e029574fbf959e122055b93ae1c300f1b

[ "MIT" ]

null

def test_update_person_name(): return def test_update_person_address(): return

12.714286

33

0.752809

12

89

5.083333

0.583333

0.229508

0.42623

0.622951

0

0.179775

89

6

34

14.833333

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true

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null

1

0

1

0

null

0

1

0

1

0

9

666ccbc45a5c3aa3e1a6a55ff49484940ca12818

512

py

Python

accounts/models.py

akhilmaharana/history-and-bookmark-recommendation-app

55a55c5dc2f752bb83a3914b8205fd33a22acfd9

[ "MIT" ]

null

accounts/models.py

akhilmaharana/history-and-bookmark-recommendation-app

55a55c5dc2f752bb83a3914b8205fd33a22acfd9

[ "MIT" ]

null

accounts/models.py

akhilmaharana/history-and-bookmark-recommendation-app

55a55c5dc2f752bb83a3914b8205fd33a22acfd9

[ "MIT" ]

null

from django.db import models # Create your models here. class Contact(models.Model): firstName = models.CharField(max_length=100) lastName = models.CharField(max_length=100) countryName = models.CharField(max_length=100) subject = models.CharField(max_length=100) class ContactDetails(models.Model): firstName = models.CharField(max_length=100) lastName = models.CharField(max_length=100) countryName = models.CharField(max_length=100) subject = models.CharField(max_length=100)

36.571429

50

0.763672

65

512

5.892308

0.307692

0.313316

0.375979

0.501305

0.804178

0

0.054299

0.136719

512

14

51

36.571429

0.812217

0.046875

0

0.727273

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1

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false

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0.090909

0

1

0

null

1

0

1

0

null

0

10

66b36148d799b4b6799c7cd7e0cb3d3f3368bf30

451

py

Python

tests/internal/ebs_optimized_support/test_ebs_optimized_support_unsupported_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

tests/internal/ebs_optimized_support/test_ebs_optimized_support_unsupported_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

tests/internal/ebs_optimized_support/test_ebs_optimized_support_unsupported_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

1

2021-12-15T11:58:22.000Z

# Testing module ebs_optimized_support.unsupported import pytest import ec2_compare.internal.ebs_optimized_support.unsupported def test_get_internal_data_ebs_optimized_support_unsupported_get_instances_list(): assert len(ec2_compare.internal.ebs_optimized_support.unsupported.get_instances_list()) > 0 def test_get_internal_data_ebs_optimized_support_unsupported_get(): assert len(ec2_compare.internal.ebs_optimized_support.unsupported.get) > 0

45.1

93

0.882483

62

451

5.919355

0.322581

0.196185

0.310627

0.490463

0.828338

0.626703

0

0.011765

0.05765

451

9

94

50.111111

0.851765

0.10643

0

0.333333

1

0.333333

true

0

0.333333

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0.666667

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null

0

1

0

1

0

1

0

null

0

1

0

1

0

10

66eb7502095913e7cbc3b2898e48e7b052c5258c

230

py

Python

pyforchange/egg/__init__.py

PythonForChange/pyforchange

2cc5afef227ac68147e291e447c57924586a0b12

[ "MIT" ]

1

2021-06-07T02:10:41.000Z

pyforchange/egg/__init__.py

PythonForChange/pyforchange

2cc5afef227ac68147e291e447c57924586a0b12

[ "MIT" ]

null

pyforchange/egg/__init__.py

PythonForChange/pyforchange

2cc5afef227ac68147e291e447c57924586a0b12

[ "MIT" ]

null

from pyforchange.egg.resources.modules import * from pyforchange.egg.resources.console import * from pyforchange.egg.resources.constants import * from pyforchange.egg.resources.extensions import * from pyforchange.egg.app import *

46

50

0.834783

29

230

6.62069

0.344828

0.390625

0.46875

0.5625

0.515625

0

0.082609

230

5

51

46

0.909953

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1

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true

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null

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0

null

0

1

0

1

0

1

0

8

06fd8faf81245fda5a16cd3c3df799f903aca29c

8,002

py

Python

test/const.py

mikeshultz/py4byte

ef4afef47232aa010a409ffcfa41b662ace4a449

[ "MIT" ]

null

test/const.py

mikeshultz/py4byte

ef4afef47232aa010a409ffcfa41b662ace4a449

[ "MIT" ]

null

test/const.py

mikeshultz/py4byte

ef4afef47232aa010a409ffcfa41b662ace4a449

[ "MIT" ]

null

# flake8: noqa SWAP_TRANSACTION = { 'blockHash': '0x3f43cba31e73252412c88d42f80b64e3c81ed99a1ef3743d14c891ed0ef54ab3', 'blockNumber': 11325697, 'from': '0x9283099A29556fCF8fFF5b2Cea2D4F67CB7A7A8b', 'gas': 203049, 'gasPrice': 69000000000, 'hash': '0x32e97818ae1732c0cdc387452e24bd3700a610070b2b59de04d69f82c3f73364', 'input': '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', 'nonce': 85, 'r': '0x8a4e290dd3ab0440186b84e9f8b253e9e6b04389a3f3214d9da59d7c0533ca85', 's': '0x2ab840455ab71a77cd426fab7f2cd9307e3bd0a7699a73d49e807d68ca3d0e18', 'to': '0x7a250d5630B4cF539739dF2C5dAcb4c659F2488D', 'transactionIndex': 8, 'v': 37, 'value': 0 } SWAP_RECEIPT = { 'blockHash': '0x3f43cba31e73252412c88d42f80b64e3c81ed99a1ef3743d14c891ed0ef54ab3', 'blockNumber': 11325697, 'contractAddress': None, 'cumulativeGasUsed': 872286, 'from': '0x9283099A29556fCF8fFF5b2Cea2D4F67CB7A7A8b', 'gasUsed': 174314, 'logs': [ { 'address': '0x8207c1FfC5B6804F6024322CcF34F29c3541Ae26', 'blockHash': '0x3f43cba31e73252412c88d42f80b64e3c81ed99a1ef3743d14c891ed0ef54ab3', 'blockNumber': 11325697, 'data': '0x00000000000000000000000000000000000000000000065a4da25d3016c00000', 'logIndex': 18, 'removed': False, 'topics': [ '0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3ef', '0x0000000000000000000000009283099a29556fcf8fff5b2cea2d4f67cb7a7a8b', '0x000000000000000000000000ce2cc0513634cef3a7c9c257e294ef5e3092f185' ], 'transactionHash': '0x32e97818ae1732c0cdc387452e24bd3700a610070b2b59de04d69f82c3f73364', 'transactionIndex': 8 }, { 'address': '0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2', 'blockHash': '0x3f43cba31e73252412c88d42f80b64e3c81ed99a1ef3743d14c891ed0ef54ab3', 'blockNumber': 11325697, 'data': '0x0000000000000000000000000000000000000000000000007291d30a40c19a3b', 'logIndex': 19, 'removed': False, 'topics': [ '0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3ef', '0x000000000000000000000000ce2cc0513634cef3a7c9c257e294ef5e3092f185', '0x000000000000000000000000a478c2975ab1ea89e8196811f51a7b7ade33eb11' ], 'transactionHash': '0x32e97818ae1732c0cdc387452e24bd3700a610070b2b59de04d69f82c3f73364', 'transactionIndex': 8 }, { 'address': '0xce2Cc0513634CEf3a7C9C257E294EF5E3092f185', 'blockHash': '0x3f43cba31e73252412c88d42f80b64e3c81ed99a1ef3743d14c891ed0ef54ab3', 'blockNumber': 11325697, 'data': '0x00000000000000000000000000000000000000000001c8b8cbb210149443c7c300000000000000000000000000000000000000000000001fd2b17e29f3c7fe13', 'logIndex': 20, 'removed': False, 'topics': [ '0x1c411e9a96e071241c2f21f7726b17ae89e3cab4c78be50e062b03a9fffbbad1' ], 'transactionHash': '0x32e97818ae1732c0cdc387452e24bd3700a610070b2b59de04d69f82c3f73364', 'transactionIndex': 8 }, { 'address': '0xce2Cc0513634CEf3a7C9C257E294EF5E3092f185', 'blockHash': '0x3f43cba31e73252412c88d42f80b64e3c81ed99a1ef3743d14c891ed0ef54ab3', 'blockNumber': 11325697, 'data': '0x00000000000000000000000000000000000000000000065a4da25d3016c00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000007291d30a40c19a3b', 'logIndex': 21, 'removed': False, 'topics': [ '0xd78ad95fa46c994b6551d0da85fc275fe613ce37657fb8d5e3d130840159d822', '0x0000000000000000000000007a250d5630b4cf539739df2c5dacb4c659f2488d', '0x000000000000000000000000a478c2975ab1ea89e8196811f51a7b7ade33eb11' ], 'transactionHash': '0x32e97818ae1732c0cdc387452e24bd3700a610070b2b59de04d69f82c3f73364', 'transactionIndex': 8 }, { 'address': '0x6B175474E89094C44Da98b954EedeAC495271d0F', 'blockHash': '0x3f43cba31e73252412c88d42f80b64e3c81ed99a1ef3743d14c891ed0ef54ab3', 'blockNumber': 11325697, 'data': '0x0000000000000000000000000000000000000000000001032c7405f5694857e5', 'logIndex': 22, 'removed': False, 'topics': [ '0xddf252ad1be2c89b69c2b068fc378daa952ba7f163c4a11628f55a4df523b3ef', '0x000000000000000000000000a478c2975ab1ea89e8196811f51a7b7ade33eb11', '0x0000000000000000000000009283099a29556fcf8fff5b2cea2d4f67cb7a7a8b' ], 'transactionHash': '0x32e97818ae1732c0cdc387452e24bd3700a610070b2b59de04d69f82c3f73364', 'transactionIndex': 8 }, { 'address': '0xA478c2975Ab1Ea89e8196811F51A7B7Ade33eB11', 'blockHash': '0x3f43cba31e73252412c88d42f80b64e3c81ed99a1ef3743d14c891ed0ef54ab3', 'blockNumber': 11325697, 'data': '0x00000000000000000000000000000000000000000034faa46be5604324421cca000000000000000000000000000000000000000000001759ed6d2f07716bdd40', 'logIndex': 23, 'removed': False, 'topics': ['0x1c411e9a96e071241c2f21f7726b17ae89e3cab4c78be50e062b03a9fffbbad1'], 'transactionHash': '0x32e97818ae1732c0cdc387452e24bd3700a610070b2b59de04d69f82c3f73364', 'transactionIndex': 8 }, { 'address': '0xA478c2975Ab1Ea89e8196811F51A7B7Ade33eB11', 'blockHash': '0x3f43cba31e73252412c88d42f80b64e3c81ed99a1ef3743d14c891ed0ef54ab3', 'blockNumber': 11325697, 'data': '0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000007291d30a40c19a3b0000000000000000000000000000000000000000000001032c7405f5694857e50000000000000000000000000000000000000000000000000000000000000000', 'logIndex': 24, 'removed': False, 'topics': [ '0xd78ad95fa46c994b6551d0da85fc275fe613ce37657fb8d5e3d130840159d822', '0x0000000000000000000000007a250d5630b4cf539739df2c5dacb4c659f2488d', '0x0000000000000000000000009283099a29556fcf8fff5b2cea2d4f67cb7a7a8b' ], 'transactionHash': '0x32e97818ae1732c0cdc387452e24bd3700a610070b2b59de04d69f82c3f73364', 'transactionIndex': 8 } ], 'logsBloom': '0x00200000400000000000000080010000000000000000000000010000000000001000000000000000000000000000000012000000080000001000000000000000000000000200000000080008000000200000000000001000000000000000000011000000000080000000000000000000000000000000000000000010000000000080000000000000004000000000000000000000000000080000004000000000000000000000000040200000100000000000000000000100000200000000000000000002000000000000080000400000000002000000001000000000000020000000200000000000000000000000000000000000000000000000000000000000', 'status': 1, 'to': '0x7a250d5630B4cF539739dF2C5dAcb4c659F2488D', 'transactionHash': '0x32e97818ae1732c0cdc387452e24bd3700a610070b2b59de04d69f82c3f73364', 'transactionIndex': 8 }

60.165414

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8,002

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0

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1

null

1

0

7

b096f70b1f0bbcc61fe058b62a9b67a7ae64cdfe

260

py

Python

password_security/models/__init__.py

juazisco/gestion_rifa

bce6b75f17cb5ab2df7e2f7dd5141fc85a1a5bfb

[ "MIT" ]

null

password_security/models/__init__.py

juazisco/gestion_rifa

bce6b75f17cb5ab2df7e2f7dd5141fc85a1a5bfb

[ "MIT" ]

null

password_security/models/__init__.py

juazisco/gestion_rifa

bce6b75f17cb5ab2df7e2f7dd5141fc85a1a5bfb

[ "MIT" ]

null

# Copyright 2015 LasLabs Inc. # License LGPL-3.0 or later (http://www.gnu.org/licenses/lgpl.html). from . import res_users # noqa from . import res_company # noqa from . import res_users_pass_history # noqa from . import res_config_settings # noqa

32.5

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b0c0cdf094c977079cc2ff8a28be12ab38f6d6ea

67,749

py

Python

python/target_selection/cartons/mwm_yso.py

sdss/target_selection

7196bf1491c4e9c18140301c7001e503f391a8e1

[ "BSD-3-Clause" ]

3

2020-07-07T01:38:59.000Z

2020-11-24T21:46:58.000Z

python/target_selection/cartons/mwm_yso.py

sdss/target_selection

7196bf1491c4e9c18140301c7001e503f391a8e1

[ "BSD-3-Clause" ]

26

2020-05-28T07:18:54.000Z

2021-11-30T18:36:10.000Z

python/target_selection/cartons/mwm_yso.py

sdss/target_selection

7196bf1491c4e9c18140301c7001e503f391a8e1

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # @Author: Pramod Gupta (psgupta@uw.edu) # @Date: 2020-06-10 # @Filename: mwm_yso.py # @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause) import peewee from sdssdb.peewee.sdss5db.catalogdb import (MIPSGAL, AllWise, Catalog, CatalogToTIC_v8, Gaia_DR2, Sagitta, TIC_v8, TwoMassPSC, YSO_Clustering, Zari18pms) from target_selection.cartons import BaseCarton from target_selection.exceptions import TargetSelectionError # See catalog.py for the name of peewee model names corresponding # to postgres table names: # https://github.com/sdss/sdssdb/blob/master/python/sdssdb/peewee/sdss5db/catalogdb.py class MWM_YSO_Disk_APOGEE_Carton(BaseCarton): """YSOs - Disk APOGEE (IR excess). Shorthand name: mwm_yso_disk_apogee old class name: MWM_YSO_S1_Carton old shorthand name: mwm_yso_s1 Simplified Description of selection criteria: selection of YSOs based on IR excess, with WISE colors W1-W2>0.25, W2-W3>0.5, W3-W4>1.5, closer than parallax>0.3, and brighter than H<13 (should have ~21.5K sources) Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: Gaia, 2mass, allwise Additional cross-matching needed: Note: Using the Gaia xmatch somehow misses half the sources. Selection was done on the allwise catalog that had 2mass photometry, and then the resulting selection was crossmatched against against Gaia with 1" search radius. Return columns: Gaia id, 2mass id, allwise id, G, BP, RP, J, H, K, W1, W2, W3, W4,parallax cadence options for these targets (list all options, even though no single target will receive more than one): Pseudo SQL (optional): Implementation: h_m<13 and w1mpro-w2mpro>0.25 and w2mpro-w3mpro>0.5 and w3mpro-w4mpro>1.5 and parallax>0.3 """ name = 'mwm_yso_disk_apogee' category = 'science' instrument = 'APOGEE' cadence = 'bright_3x1' program = 'mwm_yso' mapper = 'MWM' priority = 2700 def build_query(self, version_id, query_region=None): query = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), AllWise.designation.alias('allwise_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .switch(TIC_v8) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(TIC_v8) .join(AllWise, on=(TIC_v8.allwise == AllWise.designation)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, TwoMassPSC.h_m < 13, (AllWise.w1mpro - AllWise.w2mpro) > 0.25, (AllWise.w2mpro - AllWise.w3mpro) > 0.50, (AllWise.w3mpro - AllWise.w4mpro) > 1.50, Gaia_DR2.parallax > 0.3)) # Gaia_DR2 pweewee model class corresponds to # table catalogdb.gaia_dr2_source. # # All values of TIC_v8.plx (for non-null entries) are not the same as # values of Gaia_DR2.parallax. # Hence, in the above query, we cannot use TIC_v8.plx instead # of Gaia_DR2.parallax. if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query class MWM_YSO_Disk_BOSS_Carton(BaseCarton): """YSOs - Disk BOSS (IR excess). Shorthand name: mwm_yso_disk_boss old class name: MWM_YSO_S1_Carton old shorthand name: mwm_yso_s1 Simplified Description of selection criteria: selection of YSOs based on IR excess, with WISE colors W1-W2>0.25, W2-W3>0.5, W3-W4>1.5, closer than parallax>0.3, and brighter than H<13 (should have ~21.5K sources) Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: Gaia, 2mass, allwise Additional cross-matching needed: Note: Using the Gaia xmatch somehow misses half the sources. Selection was done on the allwise catalog that had 2mass photometry, and then the resulting selection was crossmatched against against Gaia with 1" search radius. Return columns: Gaia id, 2mass id, allwise id, G, BP, RP, J, H, K, W1, W2, W3, W4,parallax cadence options for these targets (list all options, even though no single target will receive more than one): boss_bright_3x1 if RP<14.76 | boss_bright_4x1 if RP<15.075 | boss_bright_5x1 if RP<15.29 | boss_bright_6x1 if RP<15.5 Pseudo SQL (optional): Implementation: phot_rp_mean_mag<15.5 and w1mpro-w2mpro>0.25 and w2mpro-w3mpro>0.5 and w3mpro-w4mpro>1.5 and parallax>0.3 Comments: Split from mwm_yso_s1 to request BOSS observations, same color selection but assigning cadence and faint limit for carton based on RP instead of H """ name = 'mwm_yso_disk_boss' category = 'science' instrument = None # instrument is set in post_process() cadence = None # cadence is set in post_process() program = 'mwm_yso' mapper = 'MWM' priority = 2700 def build_query(self, version_id, query_region=None): query = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), AllWise.designation.alias('allwise_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .switch(TIC_v8) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(TIC_v8) .join(AllWise, on=(TIC_v8.allwise == AllWise.designation)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, Gaia_DR2.phot_rp_mean_mag < 15.5, (AllWise.w1mpro - AllWise.w2mpro) > 0.25, (AllWise.w2mpro - AllWise.w3mpro) > 0.50, (AllWise.w3mpro - AllWise.w4mpro) > 1.50, Gaia_DR2.parallax > 0.3)) # Gaia_DR2 pweewee model class corresponds to # table catalogdb.gaia_dr2_source. # # All values of TIC_v8.plx (for non-null entries) are not the same as # values of Gaia_DR2.parallax. # Hence, in the above query, we cannot use TIC_v8.plx instead # of Gaia_DR2.parallax. if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query def post_process(self, model): """ cadence options for these targets: boss_bright_3x1 if RP<14.76 | boss_bright_4x1 if RP<15.075 | boss_bright_5x1 if RP<15.29 | boss_bright_6x1 if RP<15.5 """ cursor = self.database.execute_sql( "select catalogid, gaia_dr2_rp from " + " sandbox.temp_mwm_yso_disk_boss ;") output = cursor.fetchall() for i in range(len(output)): current_catalogid = output[i][0] current_rp = output[i][1] if(current_rp < 14.76): current_instrument = 'BOSS' current_cadence = 'bright_3x1' elif(current_rp < 15.075): current_instrument = 'BOSS' current_cadence = 'bright_4x1' elif(current_rp < 15.29): current_instrument = 'BOSS' current_cadence = 'bright_5x1' elif(current_rp < 15.5): current_instrument = 'BOSS' current_cadence = 'bright_6x1' else: # All cases should be covered above so we should not get here. current_instrument = None current_cadence = None raise TargetSelectionError('error in mwm_yso_disk_boss ' + 'post_process(): ' + 'instrument = None, cadence= None') if current_instrument is not None: self.database.execute_sql( " update sandbox.temp_mwm_yso_disk_boss " + " set instrument = '" + current_instrument + "'" " where catalogid = " + str(current_catalogid) + ";") if current_cadence is not None: self.database.execute_sql( " update sandbox.temp_mwm_yso_disk_boss " + " set cadence = '" + current_cadence + "'" " where catalogid = " + str(current_catalogid) + ";") class MWM_YSO_Embedded_APOGEE_Carton(BaseCarton): """YSOs - Embedded APOGEE (optically invisible). Shorthand name: mwm_yso_embedded_apogee old class name: MWM_YSO_S2_Carton old shorthand name: mwm_yso_s2 Simplified Description of selection criteria: selection of YSOs, brighter than H<13, fainter than G>15 or without gaia detection, colors J-H>0,5, W1-W2>0.5, W2-W3>1, W3-W4>1.5, and relates (W3-W4)>(W1-W2)*0.5+1.1 (should have ~11.6K sources) Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: 2mass+allwise, gaia (allow sources that lack gaia xmatch) Additional cross-matching needed: Note: Using the Gaia xmatch somehow misses half the sources. Selection was done on the allwise catalog that had 2mass photometry, and then the resulting selection was crossmatched against against Gaia with 1" search radius. Return columns: Gaia id, 2mass id, allwise id, G, BP, RP, J, H, K, W1, W2, W3, W4 cadence options for these targets (list all options, even though no single target will receive more than one): Pseudo SQL (optional): Implementation: h_m<13 and (phot_g_mean_mag>18.5 or phot_g_mean_mag is null) and j_m-h_m>1 and h_m-ks_m>0.5 and w1mpro-w2mpro>0.5 and w2mpro-w3mpro>1 and w3mpro-w4mpro>1.5 and w3mpro-w4mpro>(w1mpro-w2mpro)*0.8+1.1 """ name = 'mwm_yso_embedded_apogee' category = 'science' instrument = 'APOGEE' cadence = 'bright_3x1' program = 'mwm_yso' mapper = 'MWM' priority = 2700 def build_query(self, version_id, query_region=None): query = (AllWise .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), AllWise.designation.alias('allwise_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(TIC_v8.allwise == AllWise.designation)) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(TIC_v8) .join(Gaia_DR2, peewee.JOIN.LEFT_OUTER, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .switch(TIC_v8) .join(CatalogToTIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, TwoMassPSC.h_m < 13, (Gaia_DR2.phot_g_mean_mag > 18.5) | (Gaia_DR2.phot_g_mean_mag >> None), (AllWise.j_m_2mass - AllWise.h_m_2mass) > 1.0, (AllWise.h_m_2mass - AllWise.k_m_2mass) > 0.5, (AllWise.w1mpro - AllWise.w2mpro) > 0.50, (AllWise.w2mpro - AllWise.w3mpro) > 1.00, (AllWise.w3mpro - AllWise.w4mpro) > 1.50, (AllWise.w3mpro - AllWise.w4mpro) > (AllWise.w1mpro - AllWise.w2mpro) * 0.8 + 1.1)) if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query class MWM_YSO_Nebula_APOGEE_Carton(BaseCarton): """YSOs - Nebula APOGEE(optically invisible, WISE saturated). Shorthand name: mwm_yso_nebula_apogee old class name: MWM_YSO_S2_5_Carton old shorthand name: mwm_yso_s2_5 Simplified Description of selection criteria: selection of YSOs, brighter than H<15, saturated (blank) W4 with W2-W3>4, or saturated W3 and W2, with J-H>1.1. Some contaminants from scanning are filtered on the plane of the sky: all the targets should be within 5 deg of the plane+ few sources that can be located further south of the plane if l>180 (should have ~1.2K sources) Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: 2mass, allwise Additional cross-matching needed: Return columns: 2mass id, allwise id, J, H, K, W1, W2, W3, W4 cadence options for these targets (list all options, even though no single target will receive more than one): Pseudo SQL (optional): Implementation: h_m<13 and (w2mpro-w3mpro>4 and w4mpro is null) or (w3mpro is null and w4mpro is null and j_m-h_m>1.1) and (b>-5 or l>180) and b<-5 """ name = 'mwm_yso_nebula_apogee' category = 'science' instrument = 'APOGEE' cadence = 'bright_3x1' program = 'mwm_yso' mapper = 'MWM' priority = 2700 # Above implementation has below clause # and (b>-5 or l>180) and b<-5 # Replace (b>-5 or l>180) and b<-5 as below based on the text. # In words: # all the targets should be within 5 deg of the plane+ # few sources that can be # located further south of the plane if l>180 # Hence: # ((b>-5) and (b<5)) or ((b<-5) and (l > 180)) # l, b in Gaia_DR2 are gallong and gallat in TIC_v8. # We are using the values from Gaia since # TIC propagates the coordinates back to epoch 2000.0 # (b>-5 or l>180) and b<-5 # S2_5 query below has the same part before where() as S2 query. def build_query(self, version_id, query_region=None): query = (AllWise .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), AllWise.designation.alias('allwise_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(TIC_v8.allwise == AllWise.designation)) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(TIC_v8) .join(Gaia_DR2, peewee.JOIN.LEFT_OUTER, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .switch(TIC_v8) .join(CatalogToTIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, TwoMassPSC.h_m < 13, (((AllWise.w2mpro - AllWise.w3mpro) > 4) & (AllWise.w4mpro >> None)) | ((AllWise.w3mpro >> None) & (AllWise.w4mpro >> None) & ((AllWise.j_m_2mass - AllWise.h_m_2mass) > 1.1)), ((Gaia_DR2.b > -5) & (Gaia_DR2.b < 5)) | ((Gaia_DR2.b < -5) & (Gaia_DR2.l > 180)) | ((Gaia_DR2.b >> None) & (Gaia_DR2.l >> None)))) if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query class MWM_YSO_Variable_APOGEE_Carton(BaseCarton): """YSOs - Variable APOGEE (pre-main sequence optical variables). Shorthand name: mwm_yso_variable_apogee old class name: MWM_YSO_S3_Carton old shorthand name: mwm_yso_s3 Simplified Description of selection criteria: selection of YSOs brighter than H<13, closer than parallax>0.3. Filter on the position of the HR diagram to select cool pre-main sequence stars, with BP-RP>13, (BP-RP)*2.5+2.5>M_G, (BP-RP)*2.5-1<M_G, requiring variability in g,bp,rp>0.02 (with var_x defined as sqrt(phot_x_n_obs)/phot_x_mean_flux_over_error), have relations in variability of var_g<var_bp<var_g^0.75, 0.75*var_g<var_rp<var_g^0.95, and log10(var_bp)*5+11<M_BP, in which M_x is the absolute mag (should have ~52.7K sources) Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: 2mass, gaia Additional cross-matching needed: Return columns: Gaia id, 2mass id, G, BP, RP, J, H, K, parallax cadence options for these targets (list all options, even though no single target will receive more than one): Pseudo SQL (optional): Implementation: phot_g_mean_mag < 18.5 and h_m <13 and parallax >0.3 and bp_rp*2.5+2.5 > phot_g_mean_mag-5*(log10(1000/parallax)-1) and bp_rp*2.5-1 < phot_g_mean_mag-5*(log10(1000/parallax)-1) and sqrt(phot_bp_n_obs)/phot_bp_mean_flux_over_error> sqrt(phot_g_n_obs)/phot_g_mean_flux_over_error and sqrt(phot_rp_n_obs)/phot_rp_mean_flux_over_error> sqrt(phot_g_n_obs)/phot_g_mean_flux_over_error*0.75 and sqrt(phot_bp_n_obs)/phot_bp_mean_flux_over_error< power(sqrt(phot_g_n_obs)/phot_g_mean_flux_over_error,0.75) and sqrt(phot_rp_n_obs)/phot_rp_mean_flux_over_error< power(sqrt(phot_g_n_obs)/phot_g_mean_flux_over_error,0.95) and log10(sqrt(phot_bp_n_obs)/phot_bp_mean_flux_over_error)*5+11< phot_bp_mean_mag-5*(log10(1000/parallax)-1) and bp_rp>1.3 and sqrt(phot_g_n_obs)/phot_g_mean_flux_over_error>0.02 and sqrt(phot_bp_n_obs)/phot_bp_mean_flux_over_error>0.02 and sqrt(phot_rp_n_obs)/phot_rp_mean_flux_over_error>0.02 """ name = 'mwm_yso_variable_apogee' category = 'science' instrument = 'APOGEE' cadence = 'bright_3x1' program = 'mwm_yso' mapper = 'MWM' priority = 2700 def build_query(self, version_id, query_region=None): query = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(TIC_v8) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, Gaia_DR2.phot_g_mean_mag < 18.5, TwoMassPSC.h_m < 13, Gaia_DR2.parallax > 0.3, Gaia_DR2.bp_rp * 2.5 + 2.5 > Gaia_DR2.phot_g_mean_mag - 5 * (peewee.fn.log(1000 / Gaia_DR2.parallax) - 1), Gaia_DR2.bp_rp * 2.5 - 1 < Gaia_DR2.phot_g_mean_mag - 5 * (peewee.fn.log(1000 / Gaia_DR2.parallax) - 1), peewee.fn.sqrt(Gaia_DR2.phot_bp_n_obs) / Gaia_DR2.phot_bp_mean_flux_over_error > peewee.fn.sqrt(Gaia_DR2.phot_g_n_obs) / Gaia_DR2.phot_g_mean_flux_over_error, peewee.fn.sqrt(Gaia_DR2.phot_rp_n_obs) / Gaia_DR2.phot_rp_mean_flux_over_error > peewee.fn.sqrt(Gaia_DR2.phot_g_n_obs) / Gaia_DR2.phot_g_mean_flux_over_error * 0.75, peewee.fn.sqrt(Gaia_DR2.phot_bp_n_obs) / Gaia_DR2.phot_bp_mean_flux_over_error < peewee.fn.power( peewee.fn.sqrt(Gaia_DR2.phot_g_n_obs) / Gaia_DR2.phot_g_mean_flux_over_error, 0.75), peewee.fn.sqrt(Gaia_DR2.phot_rp_n_obs) / Gaia_DR2.phot_rp_mean_flux_over_error < peewee.fn.power( peewee.fn.sqrt(Gaia_DR2.phot_g_n_obs) / Gaia_DR2.phot_g_mean_flux_over_error, 0.95), peewee.fn.log( peewee.fn.sqrt(Gaia_DR2.phot_bp_n_obs) / Gaia_DR2.phot_bp_mean_flux_over_error) * 5 + 11 < Gaia_DR2.phot_bp_mean_mag - 5 * (peewee.fn.log(1000 / Gaia_DR2.parallax) - 1), Gaia_DR2.bp_rp > 1.3, peewee.fn.sqrt(Gaia_DR2.phot_g_n_obs) / Gaia_DR2.phot_g_mean_flux_over_error > 0.02, peewee.fn.sqrt(Gaia_DR2.phot_bp_n_obs) / Gaia_DR2.phot_bp_mean_flux_over_error > 0.02, peewee.fn.sqrt(Gaia_DR2.phot_rp_n_obs) / Gaia_DR2.phot_rp_mean_flux_over_error > 0.02)) if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query class MWM_YSO_Variable_BOSS_Carton(BaseCarton): """YSOs - Variable BOSS (pre-main sequence optical variables). Shorthand name: mwm_yso_variable_boss old class name: MWM_YSO_S3_Carton old shorthand name: mwm_yso_s3 Simplified Description of selection criteria: selection of YSOs brighter than H<13, closer than parallax>0.3. Filter on the position of the HR diagram to select cool pre-main sequence stars, with BP-RP>13, (BP-RP)*2.5+2.5>M_G, (BP-RP)*2.5-1<M_G, requiring variability in g,bp,rp>0.02 (with var_x defined as sqrt(phot_x_n_obs)/phot_x_mean_flux_over_error), have relations in variability of var_g<var_bp<var_g^0.75, 0.75*var_g<var_rp<var_g^0.95, and log10(var_bp)*5+11<M_BP, in which M_x is the absolute mag (should have ~52.7K sources) Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: 2mass, gaia Additional cross-matching needed: Return columns: Gaia id, 2mass id, G, BP, RP, J, H, K, parallax cadence options for these targets (list all options, even though no single target will receive more than one): boss_bright_3x1 if RP<14.76 | boss_bright_4x1 if RP<15.075 | boss_bright_5x1 if RP<15.29 | boss_bright_6x1 if RP<15.5 Pseudo SQL (optional): Implementation: phot_rp_mean_mag<15.5 and phot_g_mean_mag < 18.5 and h_m <13 and parallax >0.3 and bp_rp*2.5+2.5 > phot_g_mean_mag-5*(log10(1000/parallax)-1) and bp_rp*2.5-1 < phot_g_mean_mag-5*(log10(1000/parallax)-1) and sqrt(phot_bp_n_obs)/phot_bp_mean_flux_over_error> sqrt(phot_g_n_obs)/phot_g_mean_flux_over_error and sqrt(phot_rp_n_obs)/phot_rp_mean_flux_over_error> sqrt(phot_g_n_obs)/phot_g_mean_flux_over_error*0.75 and sqrt(phot_bp_n_obs)/phot_bp_mean_flux_over_error< power(sqrt(phot_g_n_obs)/phot_g_mean_flux_over_error,0.75) and sqrt(phot_rp_n_obs)/phot_rp_mean_flux_over_error< power(sqrt(phot_g_n_obs)/phot_g_mean_flux_over_error,0.95) and log10(sqrt(phot_bp_n_obs)/phot_bp_mean_flux_over_error)*5+11< phot_bp_mean_mag-5*(log10(1000/parallax)-1) and bp_rp>1.3 and sqrt(phot_g_n_obs)/phot_g_mean_flux_over_error>0.02 and sqrt(phot_bp_n_obs)/phot_bp_mean_flux_over_error>0.02 and sqrt(phot_rp_n_obs)/phot_rp_mean_flux_over_error>0.02 Comments: Split from mwm_yso_s3 to request BOSS observations, RP magnitude check added to the previous selection """ name = 'mwm_yso_variable_boss' category = 'science' instrument = None # instrument is set in post_process() cadence = None # cadence is set in post_process() program = 'mwm_yso' mapper = 'MWM' priority = 2700 def build_query(self, version_id, query_region=None): query = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(TIC_v8) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, Gaia_DR2.phot_rp_mean_mag < 15.5, Gaia_DR2.phot_g_mean_mag < 18.5, TwoMassPSC.h_m < 13, Gaia_DR2.parallax > 0.3, Gaia_DR2.bp_rp * 2.5 + 2.5 > Gaia_DR2.phot_g_mean_mag - 5 * (peewee.fn.log(1000 / Gaia_DR2.parallax) - 1), Gaia_DR2.bp_rp * 2.5 - 1 < Gaia_DR2.phot_g_mean_mag - 5 * (peewee.fn.log(1000 / Gaia_DR2.parallax) - 1), peewee.fn.sqrt(Gaia_DR2.phot_bp_n_obs) / Gaia_DR2.phot_bp_mean_flux_over_error > peewee.fn.sqrt(Gaia_DR2.phot_g_n_obs) / Gaia_DR2.phot_g_mean_flux_over_error, peewee.fn.sqrt(Gaia_DR2.phot_rp_n_obs) / Gaia_DR2.phot_rp_mean_flux_over_error > peewee.fn.sqrt(Gaia_DR2.phot_g_n_obs) / Gaia_DR2.phot_g_mean_flux_over_error * 0.75, peewee.fn.sqrt(Gaia_DR2.phot_bp_n_obs) / Gaia_DR2.phot_bp_mean_flux_over_error < peewee.fn.power( peewee.fn.sqrt(Gaia_DR2.phot_g_n_obs) / Gaia_DR2.phot_g_mean_flux_over_error, 0.75), peewee.fn.sqrt(Gaia_DR2.phot_rp_n_obs) / Gaia_DR2.phot_rp_mean_flux_over_error < peewee.fn.power( peewee.fn.sqrt(Gaia_DR2.phot_g_n_obs) / Gaia_DR2.phot_g_mean_flux_over_error, 0.95), peewee.fn.log( peewee.fn.sqrt(Gaia_DR2.phot_bp_n_obs) / Gaia_DR2.phot_bp_mean_flux_over_error) * 5 + 11 < Gaia_DR2.phot_bp_mean_mag - 5 * (peewee.fn.log(1000 / Gaia_DR2.parallax) - 1), Gaia_DR2.bp_rp > 1.3, peewee.fn.sqrt(Gaia_DR2.phot_g_n_obs) / Gaia_DR2.phot_g_mean_flux_over_error > 0.02, peewee.fn.sqrt(Gaia_DR2.phot_bp_n_obs) / Gaia_DR2.phot_bp_mean_flux_over_error > 0.02, peewee.fn.sqrt(Gaia_DR2.phot_rp_n_obs) / Gaia_DR2.phot_rp_mean_flux_over_error > 0.02)) if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query def post_process(self, model): """ cadence options for these targets: boss_bright_3x1 if RP<14.76 | boss_bright_4x1 if RP<15.075 | boss_bright_5x1 if RP<15.29 | boss_bright_6x1 if RP<15.5 """ cursor = self.database.execute_sql( "select catalogid, gaia_dr2_rp from " + " sandbox.temp_mwm_yso_variable_boss ;") output = cursor.fetchall() for i in range(len(output)): current_catalogid = output[i][0] current_rp = output[i][1] if(current_rp < 14.76): current_instrument = 'BOSS' current_cadence = 'bright_3x1' elif(current_rp < 15.075): current_instrument = 'BOSS' current_cadence = 'bright_4x1' elif(current_rp < 15.29): current_instrument = 'BOSS' current_cadence = 'bright_5x1' elif(current_rp < 15.5): current_instrument = 'BOSS' current_cadence = 'bright_6x1' else: # All cases should be covered above so we should not get here. current_instrument = None current_cadence = None raise TargetSelectionError('error in mwm_yso_variable_boss ' + 'post_process(): ' + 'instrument = None, cadence= None') if current_instrument is not None: self.database.execute_sql( " update sandbox.temp_mwm_yso_variable_boss " + " set instrument = '" + current_instrument + "'" " where catalogid = " + str(current_catalogid) + ";") if current_cadence is not None: self.database.execute_sql( " update sandbox.temp_mwm_yso_variable_boss " + " set cadence = '" + current_cadence + "'" " where catalogid = " + str(current_catalogid) + ";") class MWM_YSO_OB_APOGEE_Carton(BaseCarton): """YSOs - OB APOGEE Upper (pre-)Main Sequence. Shorthand name: mwm_yso_ob_apogee old class name: MWM_YSO_OB_Carton old shorthand name: mwm_yso_ob Simplified Description of selection criteria: Selecting the OB stars at the tip of the main sequence, brighter than H<13, G<18 mag, closer than parallax>0.3, color -0.2<BP-RP<1.1, and M_G<(BP-RP)*1.6-2.2 (should have ~8.7K sources) Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: 2mass, gaia Additional cross-matching needed: Return columns: Gaia id, 2mass id, G, BP, RP, J, H, K, parallax cadence options for these targets (list all options, even though no single target will receive more than one): Pseudo SQL (optional): Implementation: h_m<13 and bp_rp between -0.2 and 1.1 and phot_g_mean_mag<18 and phot_g_mean_mag-5*(log10(1000/parallax)-1) < 1.6*bp_rp-2.2 and parallax>0.3 """ name = 'mwm_yso_ob_apogee' category = 'science' instrument = 'APOGEE' cadence = 'bright_3x1' program = 'mwm_yso' mapper = 'MWM' priority = 2700 def build_query(self, version_id, query_region=None): query = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(TIC_v8) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, TwoMassPSC.h_m < 13, (Gaia_DR2.bp_rp > -0.2) & (Gaia_DR2.bp_rp < 1.1), Gaia_DR2.phot_g_mean_mag < 18, Gaia_DR2.phot_g_mean_mag - 5 * (peewee.fn.log(1000 / Gaia_DR2.parallax) - 1) < 1.6 * Gaia_DR2.bp_rp - 2.2, Gaia_DR2.parallax > 0.3)) if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query class MWM_YSO_OB_BOSS_Carton(BaseCarton): """YSOs - OB BOSS Upper (pre-)Main Sequence. Shorthand name: mwm_yso_ob_boss old class name: MWM_YSO_OB_Carton old shorthand name: mwm_yso_ob Simplified Description of selection criteria: Selecting the OB stars at the tip of the main sequence, brighter than rp<15.5, G<18 mag, closer than parallax>0.3, color -0.2<BP-RP<1.1, and M_G<(BP-RP)*1.6-2.2 (should have ~8.7K sources) Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: 2mass, gaia Additional cross-matching needed: Return columns: Gaia id, 2mass id, G, BP, RP, J, H, K, parallax cadence options for these targets (list all options, even though no single target will receive more than one): boss_bright_3x1 if RP<14.76 | boss_bright_4x1 if RP<15.075 | boss_bright_5x1 if RP<15.29 | boss_bright_6x1 if RP<15.5 Pseudo SQL (optional): Implementation: rp<15.5 and bp_rp between -0.2 and 1.1 and phot_g_mean_mag<18 and phot_g_mean_mag-5*(log10(1000/parallax)-1) < 1.6*bp_rp-2.2 and parallax>0.3 Comments: Split from mwm_yso_ob to request BOSS observations, assigning cadence and faint limit for carton based on RP instead of H """ name = 'mwm_yso_ob_boss' category = 'science' instrument = None # instrument is set in post_process() cadence = None # cadence is set in post_process() program = 'mwm_yso' mapper = 'MWM' priority = 2700 def build_query(self, version_id, query_region=None): query = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(TIC_v8) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, Gaia_DR2.phot_rp_mean_mag < 15.5, (Gaia_DR2.bp_rp > -0.2) & (Gaia_DR2.bp_rp < 1.1), Gaia_DR2.phot_g_mean_mag < 18, Gaia_DR2.phot_g_mean_mag - 5 * (peewee.fn.log(1000 / Gaia_DR2.parallax) - 1) < 1.6 * Gaia_DR2.bp_rp - 2.2, Gaia_DR2.parallax > 0.3)) if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query def post_process(self, model): """ cadence options for these targets: boss_bright_3x1 if RP<14.76 | boss_bright_4x1 if RP<15.075 | boss_bright_5x1 if RP<15.29 | boss_bright_6x1 if RP<15.5 """ cursor = self.database.execute_sql( "select catalogid, gaia_dr2_rp from " + " sandbox.temp_mwm_yso_ob_boss ;") output = cursor.fetchall() for i in range(len(output)): current_catalogid = output[i][0] current_rp = output[i][1] if(current_rp < 14.76): current_instrument = 'BOSS' current_cadence = 'bright_3x1' elif(current_rp < 15.075): current_instrument = 'BOSS' current_cadence = 'bright_4x1' elif(current_rp < 15.29): current_instrument = 'BOSS' current_cadence = 'bright_5x1' elif(current_rp < 15.5): current_instrument = 'BOSS' current_cadence = 'bright_6x1' else: # All cases should be covered above so we should not get here. current_instrument = None current_cadence = None raise TargetSelectionError('error in mwm_yso_ob_boss ' + 'post_process(): ' + 'instrument = None, cadence= None') if current_instrument is not None: self.database.execute_sql( " update sandbox.temp_mwm_yso_ob_boss " + " set instrument = '" + current_instrument + "'" " where catalogid = " + str(current_catalogid) + ";") if current_cadence is not None: self.database.execute_sql( " update sandbox.temp_mwm_yso_ob_boss " + " set cadence = '" + current_cadence + "'" " where catalogid = " + str(current_catalogid) + ";") class MWM_YSO_CMZ_APOGEE_Carton(BaseCarton): """YSOs - Central Molecular Zone APOGEE. Shorthand name: mwm_yso_cmz_apogee old class name: MWM_YSO_CMZ_Carton old shorthand name: mwm_yso_cmz Simplified Description of selection criteria: selection of sources in the central molecular zone based on spitzer fluxes from mipsgal. brighter than H<13, have color 8.0-24>2.5, and have parallax<0.2 or lack a Gaia xmatch. (should have ~3.2K sources) Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: mipsgal Additional cross-matching needed: the table has xmatch included Return columns: mipsgal id, 2mass id, j, h, k, 3.6, 4.8, 8.0, 24 mag cadence options for these targets (list all options, even though no single target will receive more than one): 'apogee_bright_3x1' Pseudo SQL (optional): Implementation: Hmag<13 and _8_0_-_24_>2.5 and (parallax<0.2 or parallax is null) For CMZ, the raw sql query would be: select ct.catalogid from mipsgal m join twomass_psc t on twomass_name = designation join tic_v8 tic on tic.twomass_psc = t.designation left outer join gaia_dr2_source g on g.source_id = tic.gaia_int join catalog_to_tic_v8 ct on ct.target_id = tic.id where m.hmag < 13 and (m.mag_8_0 - m.mag_24) > 2.5 and (g.parallax < 0.2 or g.parallax is null) and ct.version_id = 13 and ct.best is true; Note you only need one left outer join between TIC and Gaia (all MIPSGAL targets have a counterpart in 2MASS, and all 2MASS have an entry in TIC, but not all the TIC entries have a Gaia counterpart). Comments: Formerly mwm_yso_cmz, removed check on the position on the sky: Removed below condition. l is glon (galactic longitude) b is glat (galactic latitude) All four statements below are equivalent. (l> 358 or l< 2) and b between -1 and 1 (m.glon > 358 or m.glon < 2) and (m.glat > -1 and m.glat < 1) and Sources are within 2 degrees in l and 1 degree in b from the galactic center, (MIPSGAL.glon > 358) | (MIPSGAL.glon < 2), (MIPSGAL.glat > -1) & (MIPSGAL.glat < 1), """ name = 'mwm_yso_cmz_apogee' category = 'science' instrument = 'APOGEE' cadence = 'bright_3x1' program = 'mwm_yso' mapper = 'MWM' priority = 2700 # mipsgal is a subset of 2MASS # mipsgal can be joined to twomass_psc via # mipsgal.twomass_name = TwoMassPSC.designation. # Then join via TIC and catalog_to_tic. # # mipsgal is a subset of 2MASS # 2MASS is a subset of TIC_v8 # Gaia_DR2 is a subset of TIC_v8 # # 2MASS is not a subset of Gaia_DR2 # Gaia_DR2 is not a subset of 2MASS # # table catalogdb.mipsgal # Foreign-key constraints: # "twomass_name_fk" FOREIGN KEY (twomass_name) # REFERENCES twomass_psc(designation) # # Due to below, we do not need a between to Catalog and CatalogToTIC_v8 # Catalog.catalogid == CatalogToTIC_v8.catalogid # We can remove the join with Catalog in all the cartons # since catalogid is completely unique (even across different version_id) # so the join with Catalog doesn't give us anything extra and it's a costly join. def build_query(self, version_id, query_region=None): query = (MIPSGAL.select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, MIPSGAL.mag_3_6, MIPSGAL.mag_4_5, MIPSGAL.mag_5_8, MIPSGAL.mag_8_0, MIPSGAL.mag_24, MIPSGAL.hmag, Gaia_DR2.parallax, MIPSGAL.glon, MIPSGAL.glat) .join(TwoMassPSC, on=(MIPSGAL.twomass_name == TwoMassPSC.designation)) .join(TIC_v8, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .join(Gaia_DR2, peewee.JOIN.LEFT_OUTER, on=(Gaia_DR2.source_id == TIC_v8.gaia_int)) .switch(TIC_v8) .join(CatalogToTIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, MIPSGAL.hmag < 13, (MIPSGAL.mag_8_0 - MIPSGAL.mag_24) > 2.5, (Gaia_DR2.parallax < 0.2) | (Gaia_DR2.parallax >> None))) if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query class MWM_YSO_Cluster_APOGEE_Carton(BaseCarton): """YSOs - Cluster APOGEE Catalog Shorthand name: mwm_yso_cluster_apogee old class name: MWM_YSO_Cluster_Carton old shorthand name: mwm_yso_cluster Simplified Description of selection criteria: Selecting the clustered sources from the catalog of clustered structures, with age<7.5 dex and brighter than H<13 mag. (should have ~45.5K sources) Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: Kounkel+20 clustered catalog Additional cross-matching needed: Return columns: Gaia id, 2mass id, G, BP, RP, J, H, K, parallax cadence options for these targets (list all options, even though no single target will receive more than one): Pseudo SQL (optional): Implementation: age<7.5 and h<13 """ name = 'mwm_yso_cluster_apogee' category = 'science' instrument = 'APOGEE' cadence = 'bright_3x1' program = 'mwm_yso' mapper = 'MWM' priority = 2700 # yso_clustering is a subset of gaia and # can be joined to gaia_dr2_source via source_id. # # table catalogdb.yso_clustering # Foreign-key constraints: # "yso_clustering_source_id_fkey" FOREIGN KEY (source_id) # REFERENCES gaia_dr2_source(source_id) def build_query(self, version_id, query_region=None): query = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), YSO_Clustering.twomass, Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), YSO_Clustering.j, YSO_Clustering.h, YSO_Clustering.k, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .join(YSO_Clustering, on=(Gaia_DR2.source_id == YSO_Clustering.source_id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, YSO_Clustering.h < 13, YSO_Clustering.age < 7.5)) if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query class MWM_YSO_Cluster_BOSS_Carton(BaseCarton): """YSOs - Cluster BOSS Catalog Shorthand name: mwm_yso_cluster_boss old class name: MWM_YSO_Cluster_Carton old shorthand name: mwm_yso_cluster Simplified Description of selection criteria: Selecting the clustered sources from the catalog of clustered structures, with age<7.5 dex and brighter than rp<15.5 mag. Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: Kounkel+20 clustered catalog Additional cross-matching needed: Return columns: Gaia id, 2mass id, G, BP, RP, J, H, K, parallax cadence options for these targets (list all options, even though no single target will receive more than one): cadence options for these targets: boss_bright_3x1 if RP<14.76 | boss_bright_4x1 if RP<15.075 | boss_bright_5x1 if RP<15.29 | boss_bright_6x1 if RP<15.5 Pseudo SQL (optional): Implementation: age<7.5 and rp<15.5 Comments: Split from Cluster to request BOSS observations, assigning cadence and faint limit for carton based on RP instead of H """ name = 'mwm_yso_cluster_boss' category = 'science' instrument = None # instrument is set in post_process() cadence = None # cadence is set in post_process() program = 'mwm_yso' mapper = 'MWM' priority = 2700 # yso_clustering is a subset of gaia and # can be joined to gaia_dr2_source via source_id. # # table catalogdb.yso_clustering # Foreign-key constraints: # "yso_clustering_source_id_fkey" FOREIGN KEY (source_id) # REFERENCES gaia_dr2_source(source_id) def build_query(self, version_id, query_region=None): query = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), YSO_Clustering.twomass, Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), YSO_Clustering.j, YSO_Clustering.h, YSO_Clustering.k, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .join(YSO_Clustering, on=(Gaia_DR2.source_id == YSO_Clustering.source_id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, Gaia_DR2.phot_rp_mean_mag < 15.5, YSO_Clustering.age < 7.5)) if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query def post_process(self, model): """ cadence options for these targets: boss_bright_3x1 if RP<14.76 | boss_bright_4x1 if RP<15.075 | boss_bright_5x1 if RP<15.29 | boss_bright_6x1 if RP<15.5 """ cursor = self.database.execute_sql( "select catalogid, gaia_dr2_rp from " + " sandbox.temp_mwm_yso_cluster_boss ;") output = cursor.fetchall() for i in range(len(output)): current_catalogid = output[i][0] current_rp = output[i][1] if(current_rp < 14.76): current_instrument = 'BOSS' current_cadence = 'bright_3x1' elif(current_rp < 15.075): current_instrument = 'BOSS' current_cadence = 'bright_4x1' elif(current_rp < 15.29): current_instrument = 'BOSS' current_cadence = 'bright_5x1' elif(current_rp < 15.5): current_instrument = 'BOSS' current_cadence = 'bright_6x1' else: # All cases should be covered above so we should not get here. current_instrument = None current_cadence = None raise TargetSelectionError('error in mwm_yso_cluster_boss ' + 'post_process(): ' + 'instrument = None, cadence= None') if current_instrument is not None: self.database.execute_sql( " update sandbox.temp_mwm_yso_cluster_boss " + " set instrument = '" + current_instrument + "'" " where catalogid = " + str(current_catalogid) + ";") if current_cadence is not None: self.database.execute_sql( " update sandbox.temp_mwm_yso_cluster_boss " + " set cadence = '" + current_cadence + "'" " where catalogid = " + str(current_catalogid) + ";") class MWM_YSO_PMS_APOGEE_Carton(BaseCarton): """ YSOs - Pre-main sequence, APOGEE Shorthand name: mwm_yso_pms_apogee Comments: New Simplified Description of selection criteria: Selecting the clustered sources from the catalog of vetted pre-main sequence stars Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: catalogdb.sagitta, catalogdb.zari18pms Return columns: Gaia id, 2mass id, G, BP, RP, J, H, K, parallax cadence options for these targets (list all options, even though no single target will receive more than one): apogee_bright_3x1 (for 7 < H < 13) Implementation: (in sagitta | in zari18pms) & h<13 lead contact:Marina Kounkel """ # peewee Model name ---> postgres table name # Gaia_DR2(CatalogdbModel)--->'gaia_dr2_source' # Zari18pms(CatalogdbModel)--->'catalogdb.zari18pms' # Zari18ums(CatalogdbModel)--->'catalogdb.zari18ums' # Sagitta(CatalogdbModel)--->'catalogdb.sagitta' # TwoMassPSC(CatalogdbModel)--->'catalogdb.twomass_psc' name = 'mwm_yso_pms_apogee' category = 'science' instrument = 'APOGEE' cadence = 'bright_3x1' program = 'mwm_yso' mapper = 'MWM' priority = 2700 def build_query(self, version_id, query_region=None): # join with Sagitta query1 = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .switch(TIC_v8) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(Gaia_DR2) .join(Sagitta, on=(Gaia_DR2.source_id == Sagitta.source_id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, TwoMassPSC.h_m < 13)) # join with Zari18pms query2 = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .switch(TIC_v8) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(Gaia_DR2) .join(Zari18pms, on=(Gaia_DR2.source_id == Zari18pms.source)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, TwoMassPSC.h_m < 13)) # | is for peewee SQL union query = query1 | query2 if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query class MWM_YSO_PMS_BOSS_Carton(BaseCarton): """ YSOs - Pre-main sequence, BOSS Shorthand name: mwm_yso_pms_boss Comments: New, Split from PMS Simplified Description of selection criteria: Selecting the clustered sources from the catalog of vetted pre-main sequence stars Wiki page: https://wiki.sdss.org/display/MWM/YSO+selection+function Additional source catalogs needed: catalogdb.sagitta, catalogdb.zari18pms Return columns: Gaia id, 2mass id, G, BP, RP, J, H, K, parallax cadence options for these targets: boss_bright_3x1 if RP<14.76 | boss_bright_4x1 if RP<15.075 | boss_bright_5x1 if RP<15.29 | boss_bright_6x1 if RP<15.5 Implementation: (in sagitta | in zari18pms) & rp<15.5 lead contact:Marina Kounkel """ # peewee Model name ---> postgres table name # Gaia_DR2(CatalogdbModel)--->'gaia_dr2_source' # Zari18pms(CatalogdbModel)--->'catalogdb.zari18pms' # Zari18ums(CatalogdbModel)--->'catalogdb.zari18ums' # Sagitta(CatalogdbModel)--->'catalogdb.sagitta' # TwoMassPSC(CatalogdbModel)--->'catalogdb.twomass_psc' name = 'mwm_yso_pms_boss' category = 'science' instrument = None # instrument is set in post_process() cadence = None # cadence is set in post_process() program = 'mwm_yso' mapper = 'MWM' priority = 2700 def build_query(self, version_id, query_region=None): # join with Sagitta query1 = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .switch(TIC_v8) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(Gaia_DR2) .join(Sagitta, on=(Gaia_DR2.source_id == Sagitta.source_id)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, Gaia_DR2.phot_rp_mean_mag < 15.5)) # join with Zari18pms query2 = (CatalogToTIC_v8 .select(CatalogToTIC_v8.catalogid, Gaia_DR2.source_id, Gaia_DR2.ra.alias('gaia_dr2_ra'), Gaia_DR2.dec.alias('gaia_dr2_dec'), TwoMassPSC.pts_key, TwoMassPSC.designation.alias('twomass_psc_designation'), Gaia_DR2.phot_g_mean_mag, Gaia_DR2.phot_bp_mean_mag, Gaia_DR2.phot_rp_mean_mag.alias('gaia_dr2_rp'), TwoMassPSC.j_m, TwoMassPSC.h_m, TwoMassPSC.k_m, Gaia_DR2.parallax) .join(TIC_v8, on=(CatalogToTIC_v8.target_id == TIC_v8.id)) .join(Gaia_DR2, on=(TIC_v8.gaia_int == Gaia_DR2.source_id)) .switch(TIC_v8) .join(TwoMassPSC, on=(TIC_v8.twomass_psc == TwoMassPSC.designation)) .switch(Gaia_DR2) .join(Zari18pms, on=(Gaia_DR2.source_id == Zari18pms.source)) .where(CatalogToTIC_v8.version_id == version_id, CatalogToTIC_v8.best >> True, Gaia_DR2.phot_rp_mean_mag < 15.5)) # | is for peewee SQL union query = query1 | query2 if query_region: query = (query .join_from(CatalogToTIC_v8, Catalog) .where(peewee.fn.q3c_radial_query(Catalog.ra, Catalog.dec, query_region[0], query_region[1], query_region[2]))) return query def post_process(self, model): """ cadence options for these targets: boss_bright_3x1 if RP<14.76 | boss_bright_4x1 if RP<15.075 | boss_bright_5x1 if RP<15.29 | boss_bright_6x1 if RP<15.5 """ cursor = self.database.execute_sql( "select catalogid, gaia_dr2_rp from " + " sandbox.temp_mwm_yso_pms_boss ;") output = cursor.fetchall() for i in range(len(output)): current_catalogid = output[i][0] current_rp = output[i][1] if(current_rp < 14.76): current_instrument = 'BOSS' current_cadence = 'bright_3x1' elif(current_rp < 15.075): current_instrument = 'BOSS' current_cadence = 'bright_4x1' elif(current_rp < 15.29): current_instrument = 'BOSS' current_cadence = 'bright_5x1' elif(current_rp < 15.5): current_instrument = 'BOSS' current_cadence = 'bright_6x1' else: # All cases should be covered above so we should not get here. current_instrument = None current_cadence = None raise TargetSelectionError('error in mwm_yso_pms_boss ' + 'post_process(): ' + 'instrument = None, cadence= None') if current_instrument is not None: self.database.execute_sql( " update sandbox.temp_mwm_yso_pms_boss " + " set instrument = '" + current_instrument + "'" " where catalogid = " + str(current_catalogid) + ";") if current_cadence is not None: self.database.execute_sql( " update sandbox.temp_mwm_yso_pms_boss " + " set cadence = '" + current_cadence + "'" " where catalogid = " + str(current_catalogid) + ";")

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null

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b0fee27a1c84b3b92b89c95632d7bc237ac344f3

94

py

Python

tests/test_script_pipeline.py

Forks-yugander-krishan-singh/jenkins-job-builder-pipeline

c8aac16b97eb89882e0a5a7250ad8ed33ca7ddd8

[ "Apache-2.0" ]

null

tests/test_script_pipeline.py

Forks-yugander-krishan-singh/jenkins-job-builder-pipeline

c8aac16b97eb89882e0a5a7250ad8ed33ca7ddd8

[ "Apache-2.0" ]

null

tests/test_script_pipeline.py

Forks-yugander-krishan-singh/jenkins-job-builder-pipeline

c8aac16b97eb89882e0a5a7250ad8ed33ca7ddd8

[ "Apache-2.0" ]

null

from base import assert_case def test_script_pipeline(): assert_case('script_pipeline')

15.666667

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b02c1edb35efed2af8ead59b4a2b1e4957fcf74d

11,362

py

Python

code/python/dataprocessing.py

nordin11/DataProject

9714e9320d2849d1f4eb3224cb3521cb10138744

[ "MIT" ]

null

code/python/dataprocessing.py

nordin11/DataProject

9714e9320d2849d1f4eb3224cb3521cb10138744

[ "MIT" ]

2

2018-01-14T23:14:37.000Z

2018-01-21T21:54:23.000Z

code/python/dataprocessing.py

nordin11/DataProject

9714e9320d2849d1f4eb3224cb3521cb10138744

[ "MIT" ]

null

# coding: utf-8 # In[1]: from pandas_datareader import data import matplotlib.pyplot as plt import pandas as pd import numpy as np import json import io # In[2]: ## FINANCIAL INDUSTRY # Call the stocks I want to analyze financeTickers = ['JPM','BAC','WFC','V','C'] # Define the data source data_source = 'yahoo' # Define the time-scale start_date = '2000-01-01' end_date = '2018-01-01' # Get the data panel_data = data.DataReader(financeTickers, data_source, start_date, end_date) # Getting just the adjusted closing prices. This will return a Pandas DataFrame # The index in this DataFrame is the major index of the panel_data close = panel_data.loc['Close'] # Getting all weekdays between 01/01/2000 and 12/31/2016 all_weekdays = pd.date_range(start=start_date, end=end_date, freq='B') # How do we align the existing prices in adj_close with our new set of dates? # All we need to do is reindex close using all_weekdays as the new index close = close.reindex(all_weekdays) # Drop the dates where one of the companies wasn't public yet close = close.dropna(axis=0, how='any') # Define the table as a matrix close = np.asmatrix(close) # Print the FINANCE correlation matrix print np.corrcoef(close, rowvar=False) # In[3]: ## TECH INDUSTRY # Call the stocks I want to analyze techTickers = ['GOOGL','MSFT','FB','T','VZ'] # Define the data source data_source = 'yahoo' # Define the time-scale start_date = '2000-01-01' end_date = '2018-01-01' # Get the data panel_data = data.DataReader(techTickers, data_source, start_date, end_date) # Getting just the adjusted closing prices. This will return a Pandas DataFrame # The index in this DataFrame is the major index of the panel_data close = panel_data.loc['Close'] # Getting all weekdays between 01/01/2000 and 12/31/2016 all_weekdays = pd.date_range(start=start_date, end=end_date, freq='B') # How do we align the existing prices in adj_close with our new set of dates? # All we need to do is reindex close using all_weekdays as the new index close = close.reindex(all_weekdays) # Drop the dates where one of the companies wasn't public yet close = close.dropna(axis=0, how='any') # Define the table as a matrix close = np.asmatrix(close) # Print the TECH correlation matrix print np.corrcoef(close, rowvar=False) # In[4]: ## SERVICES # Call the stocks I want to analyze servicesTickers = ['AMZN','BABA','WMT','HD','CMCSA'] # Define the data source data_source = 'yahoo' # Define the time-scale start_date = '2000-01-01' end_date = '2018-01-01' # Get the data panel_data = data.DataReader(servicesTickers, data_source, start_date, end_date) # Getting just the adjusted closing prices. This will return a Pandas DataFrame # The index in this DataFrame is the major index of the panel_data. close = panel_data.loc['Close'] # Getting all weekdays between 01/01/2000 and 12/31/2016 all_weekdays = pd.date_range(start=start_date, end=end_date, freq='B') # How do we align the existing prices in adj_close with our new set of dates? # All we need to do is reindex close using all_weekdays as the new index close = close.reindex(all_weekdays) # Drop the dates where one of the companies wasn't public yet close = close.dropna(axis=0, how='any') # Define the table as a matrix close = np.asmatrix(close) # Print the SERVICES correlation matrix print np.corrcoef(close, rowvar=False) # In[5]: ## BASIC MATERIALS # Call the stocks I want to analyze basicTickers = ['XOM','RDS-B','PTR','CVX','BP'] # Define the data source data_source = 'yahoo' # Define the time-scale start_date = '2000-01-01' end_date = '2018-01-01' # Get the data panel_data = data.DataReader(basicTickers, data_source, start_date, end_date) # Getting just the adjusted closing prices. This will return a Pandas DataFrame # The index in this DataFrame is the major index of the panel_data. close = panel_data.loc['Close'] # Getting all weekdays between 01/01/2000 and 12/31/2016 all_weekdays = pd.date_range(start=start_date, end=end_date, freq='B') # How do we align the existing prices in adj_close with our new set of dates? # All we need to do is reindex close using all_weekdays as the new index close = close.reindex(all_weekdays) # Drop the dates where one of the companies wasn't public yet close = close.dropna(axis=0, how='any') # Define the table as a matrix close = np.asmatrix(close) # Print the MATERIALS correlation matrix print np.corrcoef(close, rowvar=False) # In[6]: ## CONSUMER GOODS # Call the stocks I want to analyze consumerTickers = ['AAPL','PG','BUD','KO','TM'] # Define the data source data_source = 'yahoo' # Define the time-scale start_date = '2000-01-01' end_date = '2018-01-01' # Get the data panel_data = data.DataReader(consumerTickers, data_source, start_date, end_date) # Getting just the adjusted closing prices. This will return a Pandas DataFrame # The index in this DataFrame is the major index of the panel_data. close = panel_data.loc['Close'] # Getting all weekdays between 01/01/2000 and 12/31/2016 all_weekdays = pd.date_range(start=start_date, end=end_date, freq='B') # How do we align the existing prices in adj_close with our new set of dates? # All we need to do is reindex close using all_weekdays as the new index close = close.reindex(all_weekdays) # Drop the dates where one of the companies wasn't public yet close = close.dropna(axis=0, how='any') # Define the table as a matrix close = np.asmatrix(close) # Print the GOODS correlation matrix print np.corrcoef(close, rowvar=False) # In[45]: ## ALL INDUSTRIES # Call the stocks I want to analyze financeTickers = ['JPM','BAC','WFC','V','C'] techTickers = ['GOOGL','MSFT','FB','T','VZ'] servicesTickers = ['AMZN','BABA','WMT','HD','CMCSA'] basicTickers = ['XOM','RDS-B','PTR','CVX','BP'] consumerTickers = ['AAPL','PG','BUD','KO','TM'] # group all tickers together AllTickers = ['JPM','BAC','WFC','V','C','GOOGL','MSFT','FB','T','VZ','AMZN','BABA','WMT','HD','CMCSA','XOM','RDS-B','PTR','CVX','BP','AAPL','PG','BUD','KO','TM'] # Define the data source data_source = 'yahoo' # Define the time-scale start_date = '2000-01-01' end_date = '2018-01-01' # Get the data panel_data = data.DataReader(AllTickers, data_source, start_date, end_date) # Getting just the adjusted closing prices. This will return a Pandas DataFrame # The index in this DataFrame is the major index of the panel_data. close = panel_data.loc['Close'] # Getting all weekdays between 01/01/2000 and 12/31/2016 all_weekdays = pd.date_range(start=start_date, end=end_date, freq='B') # How do we align the existing prices in adj_close with our new set of dates? # All we need to do is reindex close using all_weekdays as the new index close = close.reindex(all_weekdays) # Drop the dates where one of the companies wasn't public yet close = close.dropna(axis=0, how='any') # Define the table as a matrix close = np.matrix(close) # Define and print the correlation matrix in absolute values close = np.corrcoef(close, rowvar=False) a = np.zeros(len(AllTickers)) for i in range(len(AllTickers)): a[i] = np.sum(abs(close[i])) print a - 1 # In[8]: ## ALL INDUSTRIES # Call the stocks I want to analyze financeTickers = ['JPM','BAC','WFC','V','C'] techTickers = ['GOOGL','MSFT','FB','T','VZ'] servicesTickers = ['AMZN','BABA','WMT','HD','CMCSA'] basicTickers = ['XOM','RDS-B','PTR','CVX','BP'] consumerTickers = ['AAPL','PG','BUD','KO','TM'] # group all tickers together AllTickers = ['JPM','BAC','WFC','V','C','GOOGL','MSFT','FB','T','VZ','AMZN','BABA','WMT','HD','CMCSA','XOM','RDS-B','PTR','CVX','BP','AAPL','PG','BUD','KO','TM'] # Define the data source data_source = 'yahoo' # Define the time-scale start_date = '2000-01-01' end_date = '2018-01-01' # Get the data panel_data = data.DataReader(AllTickers, data_source, start_date, end_date) # Getting just the adjusted closing prices. This will return a Pandas DataFrame # The index in this DataFrame is the major index of the panel_data. close = panel_data.loc['Close'] # Getting all weekdays between 01/01/2000 and 12/31/2016 all_weekdays = pd.date_range(start=start_date, end=end_date, freq='B') # How do we align the existing prices in adj_close with our new set of dates? # All we need to do is reindex close using all_weekdays as the new index close = close.reindex(all_weekdays) # Drop the dates where one of the companies wasn't public yet close = close.dropna(axis=0, how='any') # Define the table as a matrix close = np.matrix(close) # Print the correlation matrix c = np.corrcoef(close, rowvar=False) # manipulate the data so that I can output the proper format for the network nodes = [] # define the different industries by seperating it in different groups for i in range(len(AllTickers)): if i < len(financeTickers): nodes.append({"id":AllTickers[i], "group": 1}) elif i < len(financeTickers) + len(techTickers): nodes.append({"id":AllTickers[i], "group": 2}) elif i < len(financeTickers) + len(techTickers) + len(servicesTickers): nodes.append({"id":AllTickers[i], "group": 3}) elif i < len(financeTickers) + len(techTickers) + len(servicesTickers) + len(basicTickers): nodes.append({"id":AllTickers[i], "group": 4}) else: nodes.append({"id":AllTickers[i], "group": 5}) links = [] # Go through the stocks and link the stocks and connections with eachother to the correlation matrix. for i in range(len(AllTickers)): for j in range(1,len(AllTickers) - i): links.append({"source" : AllTickers[i],"target" : AllTickers[i + j],"value" : c[i,i+j]}) # bring together the two dictionaries into one big dict json_data = { "nodes": nodes, "links": links } network = json.dumps(json_data) # copied this print into a downloaded json file. print network # In[29]: ## ALL INDUSTRIES # Call the stocks I want to analyze financeTickers = ['JPM','BAC','WFC','V','C'] techTickers = ['GOOGL','MSFT','FB','T','VZ'] servicesTickers = ['AMZN','BABA','WMT','HD','CMCSA'] basicTickers = ['XOM','RDS-B','PTR','CVX','BP'] consumerTickers = ['AAPL','PG','BUD','KO','TM'] # group all tickers together AllTickers = ['JPM','BAC','WFC','V','C','GOOGL','MSFT','FB','T','VZ','AMZN','BABA','WMT','HD','CMCSA','XOM','RDS-B','PTR','CVX','BP','AAPL','PG','BUD','KO','TM'] # Define the data source data_source = 'yahoo' # Define the time-scale start_date = '2000-01-01' end_date = '2018-01-01' # Get the data panel_data = data.DataReader(AllTickers, data_source, start_date, end_date) # Getting just the adjusted closing prices. This will return a Pandas DataFrame # The index in this DataFrame is the major index of the panel_data. close = panel_data.loc['Close'] # Getting all weekdays between 01/01/2000 and 12/31/2016 all_weekdays = pd.date_range(start=start_date, end=end_date, freq='B') # How do we align the existing prices in adj_close with our new set of dates? # All we need to do is reindex close using all_weekdays as the new index close = close.reindex(all_weekdays) # Drop the dates where one of the companies wasn't public yet close = close.dropna(axis=0, how='any') # normalize de data by defining relative gain. starting at the first price 1.0 close = close/close.iloc[0, :] close.to_csv('price_relative_gain.csv', encoding='utf-8')

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135

py

Python

tsserver/configutils.py

m4tx/techswarm-server

a04a3e2a731c3a086aa8476f66adda64973dcd66

[ "MIT" ]

1

2016-08-12T14:27:31.000Z

tsserver/configutils.py

TechSwarm/techswarm-server

a04a3e2a731c3a086aa8476f66adda64973dcd66

[ "MIT" ]

null

tsserver/configutils.py

TechSwarm/techswarm-server

a04a3e2a731c3a086aa8476f66adda64973dcd66

[ "MIT" ]

null

import os from tsserver import app def get_upload_dir(): return os.path.join(app.root_path, app.config['PHOTOS_UPLOAD_FOLDER'])

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88

py

Python

soam/core/__init__.py

MuttData/soam

65612a02552668c6721dc20e675654883391c3e9

[ "Apache-2.0" ]

1

2021-09-17T01:14:57.000Z

soam/core/__init__.py

MuttData/soam

65612a02552668c6721dc20e675654883391c3e9

[ "Apache-2.0" ]

null

soam/core/__init__.py

MuttData/soam

65612a02552668c6721dc20e675654883391c3e9

[ "Apache-2.0" ]

1

2021-08-09T14:22:50.000Z

"""SoaM core.""" from soam.core.runner import SoamFlow from soam.core.step import Step

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c689b5418a7a0887640ee647ae675dfb3518bc81

8,039

py

Python

import_export_google_civic/migrations/0001_initial.py

adborden/WeVoteBase

7fd612aee1d3638c8a74cc81873ce0687f62cf33

[ "MIT" ]

null

import_export_google_civic/migrations/0001_initial.py

adborden/WeVoteBase

7fd612aee1d3638c8a74cc81873ce0687f62cf33

[ "MIT" ]

null

import_export_google_civic/migrations/0001_initial.py

adborden/WeVoteBase

7fd612aee1d3638c8a74cc81873ce0687f62cf33

[ "MIT" ]

1

2020-03-04T00:22:39.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ] operations = [ migrations.CreateModel( name='GoogleCivicCandidateCampaign', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('name', models.CharField(max_length=254, verbose_name=b'google civic candidate name')), ('party', models.CharField(max_length=254, null=True, verbose_name=b'google civic party', blank=True)), ('photo_url', models.CharField(max_length=254, null=True, verbose_name=b'google civic photoUrl', blank=True)), ('order_on_ballot', models.CharField(max_length=254, null=True, verbose_name=b'google civic order on ballot', blank=True)), ('google_civic_contest_office_id', models.CharField(max_length=254, verbose_name=b'google civic internal temp contest_office_id id')), ('we_vote_contest_office_id', models.CharField(max_length=254, null=True, verbose_name=b'we vote contest_office_id id', blank=True)), ('google_civic_election_id', models.CharField(max_length=254, verbose_name=b'google election id')), ('we_vote_election_id', models.CharField(max_length=254, null=True, verbose_name=b'we vote election id', blank=True)), ('we_vote_candidate_campaign_id', models.CharField(max_length=254, null=True, verbose_name=b'we vote candidate campaign id', blank=True)), ('we_vote_politician_id', models.CharField(max_length=254, null=True, verbose_name=b'we vote politician id', blank=True)), ('candidate_url', models.URLField(null=True, verbose_name=b'website url of candidate campaign', blank=True)), ('facebook_url', models.URLField(null=True, verbose_name=b'facebook url of candidate campaign', blank=True)), ('twitter_url', models.URLField(null=True, verbose_name=b'twitter url of candidate campaign', blank=True)), ('google_plus_url', models.URLField(null=True, verbose_name=b'google plus url of candidate campaign', blank=True)), ('youtube_url', models.URLField(null=True, verbose_name=b'youtube url of candidate campaign', blank=True)), ('email', models.CharField(max_length=254, null=True, verbose_name=b'google civic candidate campaign email', blank=True)), ('phone', models.CharField(max_length=254, null=True, verbose_name=b'google civic candidate campaign email', blank=True)), ('was_processed', models.BooleanField(default=False, verbose_name=b'is primary election')), ], ), migrations.CreateModel( name='GoogleCivicContestOffice', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('office', models.CharField(max_length=254, verbose_name=b'google civic office')), ('google_civic_election_id', models.CharField(max_length=254, null=True, verbose_name=b'google civic election id', blank=True)), ('we_vote_election_id', models.CharField(max_length=254, null=True, verbose_name=b'we vote election id', blank=True)), ('we_vote_contest_office_id', models.CharField(max_length=254, null=True, verbose_name=b'we vote contest office id', blank=True)), ('number_voting_for', models.CharField(max_length=254, null=True, verbose_name=b'google civic number of candidates to vote for', blank=True)), ('number_elected', models.CharField(max_length=254, null=True, verbose_name=b'google civic number of candidates who will be elected', blank=True)), ('contest_level0', models.CharField(max_length=254, null=True, verbose_name=b'google civic level, option 0', blank=True)), ('contest_level1', models.CharField(max_length=254, null=True, verbose_name=b'google civic level, option 1', blank=True)), ('contest_level2', models.CharField(max_length=254, null=True, verbose_name=b'google civic level, option 2', blank=True)), ('ballot_placement', models.CharField(max_length=254, null=True, verbose_name=b'google civic ballot placement', blank=True)), ('primary_party', models.CharField(max_length=254, null=True, verbose_name=b'google civic primary party', blank=True)), ('district_name', models.CharField(max_length=254, verbose_name=b'google civic district name')), ('district_scope', models.CharField(max_length=254, verbose_name=b'google civic district scope')), ('district_ocd_id', models.CharField(max_length=254, verbose_name=b'google civic district ocd id')), ('electorate_specifications', models.CharField(max_length=254, null=True, verbose_name=b'google civic primary party', blank=True)), ('special', models.CharField(max_length=254, null=True, verbose_name=b'google civic primary party', blank=True)), ('was_processed', models.BooleanField(default=False, verbose_name=b'is primary election')), ], ), migrations.CreateModel( name='GoogleCivicContestReferendum', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('referendum_title', models.CharField(max_length=254, verbose_name=b'google civic referendum title')), ('referendum_subtitle', models.CharField(max_length=254, verbose_name=b'google civic referendum subtitle')), ('referendum_url', models.CharField(max_length=254, null=True, verbose_name=b'google civic referendum details url')), ('google_civic_election_id', models.CharField(max_length=254, verbose_name=b'google civic election id')), ('we_vote_election_id', models.CharField(max_length=254, null=True, verbose_name=b'we vote election id', blank=True)), ('ballot_placement', models.CharField(max_length=254, null=True, verbose_name=b'google civic ballot placement', blank=True)), ('primary_party', models.CharField(max_length=254, null=True, verbose_name=b'google civic primary party', blank=True)), ('district_name', models.CharField(max_length=254, verbose_name=b'google civic district name')), ('district_scope', models.CharField(max_length=254, verbose_name=b'google civic district scope')), ('district_ocd_id', models.CharField(max_length=254, verbose_name=b'google civic district ocd id')), ('electorate_specifications', models.CharField(max_length=254, null=True, verbose_name=b'google civic primary party', blank=True)), ('special', models.CharField(max_length=254, null=True, verbose_name=b'google civic primary party', blank=True)), ('was_processed', models.BooleanField(default=False, verbose_name=b'is primary election')), ], ), migrations.CreateModel( name='GoogleCivicElection', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('google_civic_election_id', models.CharField(unique=True, max_length=20, verbose_name=b'google civic election id')), ('we_vote_election_id', models.CharField(max_length=20, unique=True, null=True, verbose_name=b'we vote election id', blank=True)), ('name', models.CharField(max_length=254, verbose_name=b'google civic election name')), ('election_day', models.CharField(max_length=254, verbose_name=b'google civic election day')), ('was_processed', models.BooleanField(default=False, verbose_name=b'is primary election')), ], ), ]

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afa4fc125e02492254a3c7d912fe3c9437fcd289

104

py

Python

hisa/capsule/capsule.py

rittikaadhikari/stock-recommendation

1f14276a955301b1c6fa1c00bd88b00cf5668d8c

[ "MIT" ]

null

hisa/capsule/capsule.py

rittikaadhikari/stock-recommendation

1f14276a955301b1c6fa1c00bd88b00cf5668d8c

[ "MIT" ]

null

hisa/capsule/capsule.py

rittikaadhikari/stock-recommendation

1f14276a955301b1c6fa1c00bd88b00cf5668d8c

[ "MIT" ]

null

from six import with_metaclass from abc import ABCMeta class Capsule(with_metaclass(ABCMeta)): pass

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159

py

Python

datasets/__init__.py

yubin1219/Semantic-Seg

c40bd43d3d7e44bc995b8d041736580dec084251

[ "BSD-2-Clause" ]

null

datasets/__init__.py

yubin1219/Semantic-Seg

c40bd43d3d7e44bc995b8d041736580dec084251

[ "BSD-2-Clause" ]

null

datasets/__init__.py

yubin1219/Semantic-Seg

c40bd43d3d7e44bc995b8d041736580dec084251

[ "BSD-2-Clause" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function from .cityscapes import Cityscapes as cityscapes

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7

afacbc72667948ebf6d0c48f3bf3de40ac0b15ac

21,535

py

Python

testscripts/RDKB/component/WIFIAgent/TS_WIFIAGENT_ForceDisable_CheckRadioEnable_InBridgeMode.py

rdkcmf/rdkb-tools-tdkb

9f9c3600cd701d5fc90ac86a6394ebd28d49267e

[ "Apache-2.0" ]

null

testscripts/RDKB/component/WIFIAgent/TS_WIFIAGENT_ForceDisable_CheckRadioEnable_InBridgeMode.py

rdkcmf/rdkb-tools-tdkb

9f9c3600cd701d5fc90ac86a6394ebd28d49267e

[ "Apache-2.0" ]

null

testscripts/RDKB/component/WIFIAgent/TS_WIFIAGENT_ForceDisable_CheckRadioEnable_InBridgeMode.py

rdkcmf/rdkb-tools-tdkb

9f9c3600cd701d5fc90ac86a6394ebd28d49267e

[ "Apache-2.0" ]

null

########################################################################## # If not stated otherwise in this file or this component's Licenses.txt # file the following copyright and licenses apply: # # Copyright 2020 RDK Management # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ########################################################################## ''' <?xml version='1.0' encoding='utf-8'?> <xml> <id></id>  <version>3</version>  <name>TS_WIFIAGENT_ForceDisable_CheckRadioEnable_InBridgeMode</name>  <primitive_test_id></primitive_test_id>  <primitive_test_name>WIFIAgent_Get</primitive_test_name>  <primitive_test_version>1</primitive_test_version>  <status>FREE</status>  <synopsis>To check if 2.4G and 5G radio gets disabled when WiFi Force Disable is enabled in bridge mode</synopsis>  <groups_id />  <execution_time>15</execution_time>  <long_duration>false</long_duration>  <advanced_script>false</advanced_script>  <remarks></remarks>  <skip>false</skip>  <box_types> <box_type>Broadband</box_type>  </box_types> <rdk_versions> <rdk_version>RDKB</rdk_version>  </rdk_versions> <test_cases> <test_case_id>TC_WIFIAGENT_128</test_case_id> <test_objective>This test case is to check if 2.4G and 5G radio gets disabled when WiFi Force Disable is enabled in bridge mode</test_objective> <test_type>Positive</test_type> <test_setup>Broadband</test_setup> <pre_requisite>1.Ccsp Components in DUT should be in a running state that includes component under test Cable Modem 2.TDK Agent should be in running state or invoke it through StartTdk.sh script</pre_requisite> <api_or_interface_used>WIFIAgent_Get WIFIAgent_Set</api_or_interface_used> <input_parameters>Device.WiFi.Radio.1.Enable Device.WiFi.Radio.2.Enable Device.WiFi.X_RDK-CENTRAL_COM_ForceDisable Device.X_CISCO_COM_DeviceControl.LanManagementEntry.1.LanMode</input_parameters> <automation_approch>1.Load the module 2.Get the current lan mode and set the mode to bridge-static 3.Get the current status of Device.WiFi.X_RDK-CENTRAL_COM_ForceDisable,Device.WiFi.Radio.1.Enable and Device.WiFi.Radio.2.Enable 4.Enable Device.WiFi.X_RDK-CENTRAL_COM_ForceDisable 5.Device.WiFi.Radio.1.Enable and Device.WiFi.Radio.2.Enable should be disabled 6.Revert the Device.WiFi.X_RDK-CENTRAL_COM_ForceDisable to previous 7.Verify that Device.WiFi.Radio.1.Enable and Device.WiFi.Radio.2.Enable also go to previous after revert operation 8.Revert the LAN mode to previous state 7.Unload the module</automation_approch> <expected_output>On Enabling Device.WiFi.X_RDK-CENTRAL_COM_ForceDisable 2.4G and 5G radio should be disabled in bridge-mode</expected_output> <priority>High</priority> <test_stub_interface>WIFIAGENT</test_stub_interface> <test_script>TS_WIFIAGENT_ForceDisable_CheckRadioEnable_InBridgeMode</test_script> <skipped>No</skipped> <release_version>M84</release_version> <remarks>None</remarks> </test_cases> <script_tags /> </xml> ''' # use tdklib library,which provides a wrapper for tdk testcase script import tdklib; from time import sleep; #Test component to be tested obj = tdklib.TDKScriptingLibrary("wifiagent","1"); #IP and Port of box, No need to change, #This will be replaced with corresponding DUT Ip and port while executing script ip = <ipaddress> port = <port> obj.configureTestCase(ip,port,'TS_WIFIAGENT_ForceDisable_CheckRadioEnable_InBridgeMode'); #result of connection with test component and DUT result =obj.getLoadModuleResult(); loadmodulestatus=obj.getLoadModuleResult(); if "SUCCESS" in loadmodulestatus.upper(): #Set the result status of execution obj.setLoadModuleStatus("SUCCESS"); expectedresult ="SUCCESS"; tdkTestObj = obj.createTestStep('WIFIAgent_Get'); tdkTestObj.addParameter("paramName","Device.X_CISCO_COM_DeviceControl.LanManagementEntry.1.LanMode") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); details = tdkTestObj.getResultDetails(); defaultLANmode = details.split("VALUE:")[1].split(' ')[0]; if expectedresult in actualresult: tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 1: Get the current LAN mode"; print "EXPECTED RESULT 1: Should get the current LAN mode"; print "ACTUAL RESULT 1: default LAN mode is %s" %defaultLANmode; print "[TEST EXECUTION RESULT] : SUCCESS"; mode = "bridge-static"; tdkTestObj = obj.createTestStep('WIFIAgent_Set'); tdkTestObj.addParameter("paramName","Device.X_CISCO_COM_DeviceControl.LanManagementEntry.1.LanMode") tdkTestObj.addParameter("paramValue", mode) tdkTestObj.addParameter("paramType","string") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); details = tdkTestObj.getResultDetails(); if expectedresult in actualresult: #Set the result status of execution tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 2: Change lanmode to %s " %mode print "EXPECTED RESULT 2: Should change lanmode to %s" %mode print "ACTUAL RESULT 2: Details: %s " %details; #Get the result of execution print "[TEST EXECUTION RESULT] : SUCCESS"; #sleep to reflect the mode change sleep(90); tdkTestObj = obj.createTestStep('WIFIAgent_Get'); tdkTestObj.addParameter("paramName","Device.WiFi.Radio.1.Enable") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); defaultRadio1 = tdkTestObj.getResultDetails(); if expectedresult in actualresult: defaultRadio1 = defaultRadio1.split("VALUE:")[1].split(" ")[0].strip(); tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 3: Get the Radio Enable status for 2.4GHz"; print "EXPECTED RESULT 3: Should get the Radio Enable status for 2.4GHz"; print "ACTUAL RESULT 3: Radio Enable status for 2.4GHz state is %s" %defaultRadio1; print "[TEST EXECUTION RESULT] : SUCCESS"; tdkTestObj = obj.createTestStep('WIFIAgent_Get'); tdkTestObj.addParameter("paramName","Device.WiFi.Radio.2.Enable") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); defaultRadio2 = tdkTestObj.getResultDetails(); if expectedresult in actualresult: defaultRadio2 = defaultRadio2.split("VALUE:")[1].split(" ")[0].strip(); tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 4: Get the Radio Enable status for 5GHz"; print "EXPECTED RESULT 4: Should get the Radio Enable status for 5GHz"; print "ACTUAL RESULT 4: Radio Enable status for 5GHz state is %s" %defaultRadio2; print "[TEST EXECUTION RESULT] : SUCCESS"; tdkTestObj = obj.createTestStep('WIFIAgent_Get'); tdkTestObj.addParameter("paramName","Device.WiFi.X_RDK-CENTRAL_COM_ForceDisable") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); default = tdkTestObj.getResultDetails(); if expectedresult in actualresult: default = default.split("VALUE:")[1].split(" ")[0].strip(); tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 5: Get the current WiFi Force Disable state"; print "EXPECTED RESULT 5: Should get current WiFi Force Disable state"; print "ACTUAL RESULT 5: current WiFi Force Disable state is %s" %default; print "[TEST EXECUTION RESULT] : SUCCESS"; tdkTestObj = obj.createTestStep('WIFIAgent_Set'); tdkTestObj.addParameter("paramName","Device.WiFi.X_RDK-CENTRAL_COM_ForceDisable") tdkTestObj.addParameter("paramValue", "true"); tdkTestObj.addParameter("paramType","boolean") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); details = tdkTestObj.getResultDetails(); if expectedresult in actualresult: tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 6: Enable the WiFi Force Disable"; print "EXPECTED RESULT 6: Should enable Force Disable state"; print "ACTUAL RESULT 6: %s" %details; print "[TEST EXECUTION RESULT] : SUCCESS"; tdkTestObj = obj.createTestStep('WIFIAgent_Get'); tdkTestObj.addParameter("paramName","Device.WiFi.Radio.1.Enable") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); Radio1 = tdkTestObj.getResultDetails(); if expectedresult in actualresult and "false" in Radio1: Radio1 = Radio1.split("VALUE:")[1].split(" ")[0].strip(); tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 7: Get the Radio Enable status for 2.4GHz as false"; print "EXPECTED RESULT 7: Should get the Radio Enable status for 2.4GHz as false"; print "ACTUAL RESULT 7: Radio Enable status for 2.4GHz state is %s" %Radio1; print "[TEST EXECUTION RESULT] : SUCCESS"; tdkTestObj = obj.createTestStep('WIFIAgent_Get'); tdkTestObj.addParameter("paramName","Device.WiFi.Radio.2.Enable") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); Radio2 = tdkTestObj.getResultDetails(); if expectedresult in actualresult and "false" in Radio2: Radio2 = Radio2.split("VALUE:")[1].split(" ")[0].strip(); tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 8: Get the Radio Enable status for 5GHz as false"; print "EXPECTED RESULT 8: Should get the Radio Enable status for 5GHz as false"; print "ACTUAL RESULT 8: Radio Enable status for 5GHz state is %s" %Radio2; print "[TEST EXECUTION RESULT] : SUCCESS"; else: tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 8: Get the Radio Enable status for 5GHz as false"; print "EXPECTED RESULT 8: Should get the Radio Enable status for 5GHz as false"; print "ACTUAL RESULT 8: Radio Enable status for 5GHz state is %s" %Radio2; print "[TEST EXECUTION RESULT] : FAILURE"; else: tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 7: Get the Radio Enable status for 2.4GHz as false"; print "EXPECTED RESULT 7: Should get the Radio Enable status for 2.4GHz as false"; print "ACTUAL RESULT 7: Radio Enable status for 2.4GHz state is %s" %Radio1; print "[TEST EXECUTION RESULT] : FAILURE"; #Revert the value tdkTestObj = obj.createTestStep('WIFIAgent_Set'); tdkTestObj.addParameter("paramName","Device.WiFi.X_RDK-CENTRAL_COM_ForceDisable") tdkTestObj.addParameter("paramValue", default); tdkTestObj.addParameter("paramType","boolean") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); details = tdkTestObj.getResultDetails(); if expectedresult in actualresult: tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 9: Revert the WiFi Force Disable status to previous"; print "EXPECTED RESULT 9: Should disable WiFi Force Disable status to %s" %default; print "ACTUAL RESULT 9: %s" %details; print "[TEST EXECUTION RESULT] : SUCCESS"; tdkTestObj = obj.createTestStep('WIFIAgent_Get'); tdkTestObj.addParameter("paramName","Device.WiFi.Radio.1.Enable") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); details = tdkTestObj.getResultDetails(); if expectedresult in actualresult and defaultRadio1 in details: details = details.split("VALUE:")[1].split(" ")[0].strip(); tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 10: Check if Radio enable status for 2.4GHz is in previous state after reverting WiFi Force Disable"; print "EXPECTED RESULT 10: Radio enable status for 2.4GHz should be in previous state after reverting WiFi Force Disable"; print "ACTUAL RESULT 10: default value was :%s and after revertion %s" %(defaultRadio1,details) print "[TEST EXECUTION RESULT] : SUCCESS"; tdkTestObj = obj.createTestStep('WIFIAgent_Get'); tdkTestObj.addParameter("paramName","Device.WiFi.Radio.2.Enable") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); details = tdkTestObj.getResultDetails(); if expectedresult in actualresult and defaultRadio2 in details: details = details.split("VALUE:")[1].split(" ")[0].strip(); tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 11: Check if Radio enable status for 5GHz is in previous state after reverting WiFi Force Disable"; print "EXPECTED RESULT 11: Radio enable status for 5GHz should be in previous state after reverting WiFi Force Disable"; print "ACTUAL RESULT 11: default value was :%s and after revertion %s" %(defaultRadio2,details) print "[TEST EXECUTION RESULT] : SUCCESS"; else: tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 11: Check if Radio enable status for 5GHz is in previous state after reverting WiFi Force Disable"; print "EXPECTED RESULT 11: Radio enable status for 5GHz should be in previous state after reverting WiFi Force Disable"; print "ACTUAL RESULT 11: default value was :%s and after revertion %s" %(defaultRadio2,details) print "[TEST EXECUTION RESULT] : FAILURE"; else: tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 10: Check if Radio enable status for 2.4GHz is in previous state after reverting WiFi Force Disable"; print "EXPECTED RESULT 10: Radio enable status for 2.4GHz should be in previous state after reverting WiFi Force Disable"; print "ACTUAL RESULT 10: default value was :%s and after revertion %s" %(defaultRadio1,details) print "[TEST EXECUTION RESULT] : FAILURE"; else: tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 9: Revert the WiFi Force Disable status to previous"; print "EXPECTED RESULT 9: Should disable WiFi Force Disable status to %s" %default; print "ACTUAL RESULT 9: %s" %details; print "[TEST EXECUTION RESULT] : FAILURE"; else: tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 6: Enable the WiFi Force Disable"; print "EXPECTED RESULT 6: Should enable Force Disable state"; print "ACTUAL RESULT 6: %s" %details; print "[TEST EXECUTION RESULT] : FAILURE"; else: tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 5: Get the current WiFi Force Disable state"; print "EXPECTED RESULT 5: Should get current WiFi Force Disable state"; print "ACTUAL RESULT 5: current WiFi Force Disable state is %s" %default; print "[TEST EXECUTION RESULT] : FAILURE"; else: tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 4: Get the Radio Enable status for 5GHz"; print "EXPECTED RESULT 4: Should get the Radio Enable status for 5GHz"; print "ACTUAL RESULT 4: Radio Enable status for 5GHz state is %s" %defaultRadio2; print "[TEST EXECUTION RESULT] : FAILURE"; else: tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 3: Get the Radio Enable status for 2.4GHz"; print "EXPECTED RESULT 3: Should get the Radio Enable status for 2.4GHz"; print "ACTUAL RESULT 3: Radio Enable status for 2.4GHz state is %s" %defaultRadio1; print "[TEST EXECUTION RESULT] : FAILURE"; #Revert to previous lan mode tdkTestObj = obj.createTestStep('WIFIAgent_Set'); tdkTestObj.addParameter("paramName","Device.X_CISCO_COM_DeviceControl.LanManagementEntry.1.LanMode") tdkTestObj.addParameter("paramValue", defaultLANmode) tdkTestObj.addParameter("paramType","string") tdkTestObj.executeTestCase("expectedresult"); actualresult = tdkTestObj.getResult(); details = tdkTestObj.getResultDetails(); if expectedresult in actualresult: #Set the result status of execution tdkTestObj.setResultStatus("SUCCESS"); print "TEST STEP 12: Change lanmode to the previous" print "EXPECTED RESULT 12: Should change lanmode to %s" %defaultLANmode print "ACTUAL RESULT 12: Details: %s " %details; #Get the result of execution print "[TEST EXECUTION RESULT] : SUCCESS"; #sleep for change in mode reflection sleep(90); else: #Set the result status of execution tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 12: Change lanmode to the previous" print "EXPECTED RESULT 12: Should change lanmode to %s" %defaultLANmode print "ACTUAL RESULT 12: Details: %s " %details; #Get the result of execution print "[TEST EXECUTION RESULT] : FAILURE"; else: #Set the result status of execution tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 2: Change lanmode to %s" %mode print "EXPECTED RESULT 2: Should change lanmode to %s" %mode print "ACTUAL RESULT 2: Details: %s " %details; #Get the result of execution print "[TEST EXECUTION RESULT] : FAILURE"; else: tdkTestObj.setResultStatus("FAILURE"); print "TEST STEP 1: Get the current LAN mode"; print "EXPECTED RESULT 1: Should get the current LAN mode"; print "ACTUAL RESULT 1: default LAN mode is %s" %defaultLANmode; print "[TEST EXECUTION RESULT] : FAILURE"; obj.unloadModule("wifiagent") else: print "Failed to load wifiagent module"; obj.setLoadModuleStatus("FAILURE");

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afaf0c0d22e6116d8d6a7dbdab58a5db57b0b80d

43,419

py

Python

graphene_django_cud/mutations.py

martasd/graphene-django-cud

29f62579e1f5cc6c3130a4a8e13cf8059ccb19f2

[ "MIT" ]

null

graphene_django_cud/mutations.py

martasd/graphene-django-cud

29f62579e1f5cc6c3130a4a8e13cf8059ccb19f2

[ "MIT" ]

null

graphene_django_cud/mutations.py

martasd/graphene-django-cud

29f62579e1f5cc6c3130a4a8e13cf8059ccb19f2

[ "MIT" ]

null

from collections import OrderedDict import graphene from django.core.exceptions import FieldDoesNotExist, ObjectDoesNotExist from django.db import models, transaction from graphene import Mutation, InputObjectType from graphene.types.mutation import MutationOptions from graphene.types.utils import yank_fields_from_attrs from graphene.utils.str_converters import to_snake_case from graphene_django.registry import get_global_registry from graphql import GraphQLError from graphql_relay import to_global_id from graphene_django_cud.registry import get_type_meta_registry from .util import disambiguate_id, disambiguate_ids, get_input_fields_for_model, \ get_all_optional_input_fields_for_model, is_many_to_many, get_m2m_all_extras_field_names, \ get_likely_operation_from_name, get_fk_all_extras_field_names, get_filter_fields_input_args meta_registry = get_type_meta_registry() class DjangoCudBase(Mutation): class Meta: abstract = True @classmethod def get_or_create_foreign_obj( cls, field, value, data, info ): field_type = data.get('type', 'ID') if field_type == "ID": return value else: input_type_meta = meta_registry.get_meta_for_type(field_type) # Create new obj related_obj = cls.create_obj( value, info, input_type_meta.get('auto_context_fields', {}), input_type_meta.get('many_to_many_extras', {}), input_type_meta.get('foreign_key_extras', {}), input_type_meta.get('many_to_one_extras', {}), field.related_model ) return related_obj.id @classmethod def get_or_create_m2m_objs( cls, field, values, data, operation, info ): results = [] if not values: return results if isinstance(data, bool): data = {} field_type = data.get('type', 'ID') for value in values: if field_type == "ID": related_obj = field.related_model.objects.get(pk=disambiguate_id(value)) else: # This is something that we are going to create input_type_meta = meta_registry.get_meta_for_type(field_type) # Create new obj related_obj = cls.create_obj( value, info, input_type_meta.get('auto_context_fields', {}), input_type_meta.get('many_to_many_extras', {}), input_type_meta.get('foreign_key_extras', {}), input_type_meta.get('many_to_one_extras', {}), field.related_model ) results.append(related_obj) return results @classmethod def get_or_create_m2o_objs( cls, obj, field, values, data, operation, info, Model ): results = [] if not values: return results field_type = data.get('type', 'auto') for value in values: if field_type == "ID": related_obj = field.related_model.objects.get(pk=disambiguate_id(value)) elif field_type == "auto": # In this case, a new type has been created for us. Let's first find it's name, # then get it's meta, and then create it. We also need to attach the obj as the # foreign key. _type_name = data.get('type_name', f"Create{Model.__name__}{field.name.capitalize()}") input_type_meta = meta_registry.get_meta_for_type(field_type) # .id has to be called here, as the regular input for a foreignkey is ID! value[field.field.name] = obj.id related_obj = cls.create_obj( value, info, input_type_meta.get('auto_context_fields', {}), input_type_meta.get('many_to_many_extras', {}), input_type_meta.get('foreign_key_extras', {}), input_type_meta.get('many_to_one_extras', {}), field.related_model ) else: # This is something that we are going to create input_type_meta = meta_registry.get_meta_for_type(field_type) # Create new obj related_obj = cls.create_obj( value, info, input_type_meta.get('auto_context_fields', {}), input_type_meta.get('many_to_many_extras', {}), input_type_meta.get('foreign_key_extras', {}), input_type_meta.get('many_to_one_extras', {}), field.related_model ) return [] @classmethod def create_obj( cls, input, info, auto_context_fields, many_to_many_extras, foreign_key_extras, many_to_one_extras, Model ): meta_registry = get_type_meta_registry() model_field_values = {} many_to_many_values = {} many_to_many_extras_field_names = get_m2m_all_extras_field_names(many_to_many_extras) many_to_one_extras_field_names = get_m2m_all_extras_field_names(many_to_one_extras) # The layout is the same as for m2m foreign_key_extras_field_names = get_fk_all_extras_field_names(foreign_key_extras) for field_name, context_name in auto_context_fields.items(): if hasattr(info.context, context_name): model_field_values[field_name] = getattr(info.context, context_name) for name, value in super(type(input), input).items(): # Handle these separately if name in many_to_many_extras_field_names or name in foreign_key_extras_field_names or name in many_to_one_extras_field_names: continue field = Model._meta.get_field(name) new_value = value # We have to handle this case specifically, by using the fields # .set()-method, instead of direct assignment field_is_many_to_many = is_many_to_many(field) value_handle_name = "handle_" + name if hasattr(cls, value_handle_name): handle_func = getattr(cls, value_handle_name) assert callable( handle_func ), f"Property {value_handle_name} on {cls.__name__} is not a function." new_value = handle_func(value, name, info) # On some fields we perform some default conversion, if the value was not transformed above. if new_value == value and value is not None: if type(field) in (models.ForeignKey, models.OneToOneField): # Delete auto context field here, if it exists. We have to do this explicitly # as we change the name below if name in auto_context_fields: del model_field_values[name] name = getattr(field, "db_column", None) or name + "_id" new_value = disambiguate_id(value) elif field_is_many_to_many: new_value = disambiguate_ids(value) if field_is_many_to_many: many_to_many_values[name] = new_value else: model_field_values[name] = new_value # We don't have an object yet, and we potentially need to create # parents before proceeding. for name, extras in foreign_key_extras.items(): value = input.get(name, None) field = Model._meta.get_field(name) obj_id = cls.get_or_create_foreign_obj( field, value, extras, info ) model_field_values[name + "_id"] = obj_id # Foreign keys are added, we are ready to create our object obj = Model.objects.create(**model_field_values) for name, values in many_to_many_values.items(): getattr(obj, name).set(values) # Handle extras fields many_to_many_to_add = {} many_to_many_to_remove = {} for name, extras in many_to_many_extras.items(): field = Model._meta.get_field(name) if not name in many_to_many_to_add: many_to_many_to_add[name] = [] many_to_many_to_remove[name] = [] for extra_name, data in extras.items(): field_name = name if extra_name != "exact": field_name = name + "_" + extra_name values = input.get(field_name, None) if isinstance(data, bool): data = {} operation = data.get('operation') or get_likely_operation_from_name(extra_name) objs = cls.get_or_create_m2m_objs( field, values, data, operation, info ) if len(objs) > 0: if operation == "add": many_to_many_to_add[name] += objs else: many_to_many_to_remove[name] += objs many_to_one_to_add = {} many_to_one_to_remove = {} for name, extras in many_to_one_extras.items(): field = Model._meta.get_field(name) if not name in many_to_one_to_add: many_to_one_to_add[name] = [] many_to_one_to_remove[name] = [] for extra_name, data in extras.items(): field_name = name if extra_name != "exact": field_name = name + "_" + extra_name values = input.get(field_name, None) if isinstance(data, bool): data = {} operation = data.get('operation') or get_likely_operation_from_name(extra_name) if operation == "add": objs = cls.get_or_create_m2o_objs( obj, field, values, data, operation, info, Model ) many_to_one_to_add[name] += objs else: many_to_one_to_remove[name] += disambiguate_ids(values) for name, objs in many_to_one_to_add.items(): getattr(obj, name).add(*objs) for name, objs in many_to_one_to_remove.items(): # Only nullable foreign key reverse rels have the remove method, # so we use this method instead getattr(obj, name).filter(id__in=objs).delete() for name, objs in many_to_many_to_add.items(): getattr(obj, name).add(*objs) for name, objs in many_to_many_to_remove.items(): getattr(obj, name).remove(*objs) return obj @classmethod def update_obj( cls, obj, input, info, auto_context_fields, many_to_many_extras, foreign_key_extras, many_to_one_extras, Model ): many_to_many_values = {} many_to_many_add_values = {} many_to_many_remove_values = {} many_to_many_extras_field_names = get_m2m_all_extras_field_names(many_to_many_extras) many_to_one_extras_field_names = get_m2m_all_extras_field_names(many_to_one_extras) # The layout is the same as for m2m foreign_key_extras_field_names = get_fk_all_extras_field_names(foreign_key_extras) for field_name, context_name in auto_context_fields.items(): if hasattr(info.context, context_name): setattr(obj, field_name, getattr(info.context, context_name)) for name, value in super(type(input), input).items(): # Handle these separately if name in many_to_many_extras_field_names or name in foreign_key_extras_field_names or name in many_to_one_extras_field_names: continue field = Model._meta.get_field(name) new_value = value # We have to handle this case specifically, by using the fields # .set()-method, instead of direct assignment field_is_many_to_many = is_many_to_many(field) value_handle_name = "handle_" + name if hasattr(cls, value_handle_name): handle_func = getattr(cls, value_handle_name) assert callable( handle_func ), f"Property {value_handle_name} on {cls.__name__} is not a function." new_value = handle_func(value, name, info) # On some fields we perform some default conversion, if the value was not transformed above. if new_value == value and value is not None: if type(field) in (models.ForeignKey, models.OneToOneField): # Delete auto context field here, if it exists. We have to do this explicitly # as we change the name below if name in auto_context_fields: setattr(obj, name, None) name = getattr(field, "db_column", None) or name + "_id" new_value = disambiguate_id(value) elif field_is_many_to_many: new_value = disambiguate_ids(value) if field_is_many_to_many: many_to_many_values[name] = new_value else: setattr(obj, name, new_value) # Handle extras fields for name, extras in foreign_key_extras.items(): value = input.get(name, None) field = Model._meta.get_field(name) obj_id = cls.get_or_create_foreign_obj( field, value, extras, info ) setattr(obj, name + "_id", obj_id) many_to_many_to_add = {} many_to_many_to_remove = {} for name, extras in many_to_many_extras.items(): field = Model._meta.get_field(name) if not name in many_to_many_to_add: many_to_many_to_add[name] = [] many_to_many_to_remove[name] = [] for extra_name, data in extras.items(): field_name = name if extra_name != "exact": field_name = name + "_" + extra_name values = input.get(field_name, None) if isinstance(data, bool): data = {} operation = data.get('operation') or get_likely_operation_from_name(extra_name) objs = cls.get_or_create_m2m_objs( field, values, data, operation, info ) if operation == "add": many_to_many_to_add[name] += objs else: many_to_many_to_remove[name] += objs many_to_one_to_add = {} many_to_one_to_remove = {} for name, extras in many_to_one_extras.items(): field = Model._meta.get_field(name) if not name in many_to_one_to_add: many_to_one_to_add[name] = [] many_to_one_to_remove[name] = [] for extra_name, data in extras.items(): field_name = name if extra_name != "exact": field_name = name + "_" + extra_name values = input.get(field_name, None) if isinstance(data, bool): data = {} operation = data.get('operation') or get_likely_operation_from_name(extra_name) if operation == "add": objs = cls.get_or_create_m2o_objs( obj, field, values, data, operation, info, Model ) many_to_one_to_add[name] += objs else: many_to_one_to_remove[name] += disambiguate_ids(values) for name, objs in many_to_one_to_add.items(): getattr(obj, name).add(*objs) for name, objs in many_to_one_to_remove.items(): # Only nullable foreign key reverse rels have the remove method, # so we use this method instead getattr(obj, name).filter(id__in=objs).delete() for name, objs in many_to_many_to_add.items(): getattr(obj, name).add(*objs) for name, objs in many_to_many_to_remove.items(): getattr(obj, name).remove(*objs) return obj class DjangoUpdateMutationOptions(MutationOptions): model = None only_fields = None exclude_fields = None return_field_name = None permissions = None login_required = None auto_context_fields = None optional_fields = () required_fields = None nested_fields = None type_name = None many_to_many_extras = None many_to_one_extras=None foreign_key_extras = None class DjangoUpdateMutation(DjangoCudBase): class Meta: abstract = True @classmethod def __init_subclass_with_meta__( cls, model=None, permissions=None, login_required=None, only_fields=(), exclude_fields=(), auto_context_fields={}, optional_fields=(), required_fields=(), return_field_name=None, many_to_many_extras=None, many_to_one_extras=None, foreign_key_extras=None, type_name="", **kwargs, ): registry = get_global_registry() meta_registry = get_type_meta_registry() model_type = registry.get_type_for_model(model) assert model_type, f"Model type must be registered for model {model}" if not return_field_name: return_field_name = to_snake_case(model.__name__) if many_to_one_extras is None: many_to_one_extras = {} if foreign_key_extras is None: foreign_key_extras = {} if many_to_many_extras is None: many_to_many_extras = {} input_type_name = type_name or f"Update{model.__name__}Input" model_fields = get_input_fields_for_model( model, only_fields, exclude_fields, optional_fields=tuple(auto_context_fields.keys()) + optional_fields, required_fields=required_fields, many_to_many_extras=many_to_many_extras, foreign_key_extras=foreign_key_extras, many_to_one_extras=many_to_one_extras, parent_type_name=input_type_name ) InputType = type( input_type_name, (InputObjectType,), model_fields ) # Register meta-data meta_registry.register( input_type_name, { 'auto_context_fields': auto_context_fields or {}, 'optional_fields': optional_fields, 'required_fields': required_fields, 'many_to_many_extras': many_to_many_extras or {}, 'many_to_one_extras': many_to_one_extras or {}, 'foreign_key_extras': foreign_key_extras or {} } ) registry.register_converted_field( input_type_name, InputType ) arguments = OrderedDict( id=graphene.ID(required=True), input=InputType(required=True) ) output_fields = OrderedDict() output_fields[return_field_name] = graphene.Field(model_type) _meta = DjangoUpdateMutationOptions(cls) _meta.model = model _meta.fields = yank_fields_from_attrs(output_fields, _as=graphene.Field) _meta.return_field_name = return_field_name _meta.permissions = permissions _meta.auto_context_fields = auto_context_fields or {} _meta.optional_fields = optional_fields _meta.required_fields = required_fields _meta.InputType = InputType _meta.input_type_name = input_type_name _meta.many_to_many_extras = many_to_many_extras _meta.many_to_one_extras = many_to_one_extras _meta.foreign_key_extras = foreign_key_extras _meta.login_required = _meta.login_required or ( _meta.permissions and len(_meta.permissions) > 0 ) super().__init_subclass_with_meta__(arguments=arguments, _meta=_meta, **kwargs) def get_queryset(self): Model = self._meta.model return Model.objects @classmethod def mutate(cls, root, info, id, input): if cls._meta.login_required and not info.context.user.is_authenticated: raise GraphQLError("Must be logged in to access this mutation.") if cls._meta.permissions and len(cls._meta.permissions) > 0: if not info.context.user.has_perms(cls._meta.permissions): raise GraphQLError("Not permitted to access this mutation.") id = disambiguate_id(id) Model = cls._meta.model queryset = cls.get_queryset(Model) obj = queryset.get(pk=id) auto_context_fields = cls._meta.auto_context_fields or {} obj = cls.update_obj( obj, input, info, auto_context_fields, cls._meta.many_to_many_extras, cls._meta.foreign_key_extras, cls._meta.many_to_one_extras, Model ) obj.save() kwargs = {cls._meta.return_field_name: obj} return cls(**kwargs) class DjangoPatchMutationOptions(MutationOptions): model = None only_fields = None exclude_fields = None return_field_name = None permissions = None login_required = None auto_context_fields = None many_to_many_extras = None many_to_one_extras = None foreign_key_extras = None type_name = None class DjangoPatchMutation(DjangoCudBase): class Meta: abstract = True @classmethod def __init_subclass_with_meta__( cls, model=None, permissions=None, login_required=None, only_fields=(), exclude_fields=(), return_field_name=None, auto_context_fields={}, many_to_one_extras = None, many_to_many_extras = None, foreign_key_extras = None, type_name=None, **kwargs, ): registry = get_global_registry() meta_registry = get_type_meta_registry() model_type = registry.get_type_for_model(model) assert model_type, f"Model type must be registered for model {model}" if not return_field_name: return_field_name = to_snake_case(model.__name__) if many_to_one_extras is None: many_to_one_extras = {} if foreign_key_extras is None: foreign_key_extras = {} if many_to_many_extras is None: many_to_many_extras = {} input_type_name = type_name or f"Patch{model.__name__}Input" model_fields = get_all_optional_input_fields_for_model( model, only_fields, exclude_fields, many_to_many_extras=many_to_many_extras, foreign_key_extras=foreign_key_extras, many_to_one_extras=many_to_one_extras, parent_type_name=type_name, ) InputType = type( input_type_name, (InputObjectType,), model_fields ) # Register meta-data meta_registry.register( input_type_name, { 'auto_context_fields': auto_context_fields or {}, 'many_to_many_extras': many_to_many_extras or {}, 'many_to_one_extras': many_to_one_extras or {}, 'foreign_key_extras': foreign_key_extras or {} } ) registry.register_converted_field( input_type_name, InputType ) arguments = OrderedDict( id=graphene.ID(required=True), input=InputType(required=True) ) output_fields = OrderedDict() output_fields[return_field_name] = graphene.Field(model_type) _meta = DjangoPatchMutationOptions(cls) _meta.model = model _meta.fields = yank_fields_from_attrs(output_fields, _as=graphene.Field) _meta.return_field_name = return_field_name _meta.permissions = permissions _meta.auto_context_fields = auto_context_fields or {} _meta.InputType = InputType _meta.input_type_name = input_type_name _meta.many_to_many_extras = many_to_many_extras _meta.many_to_one_extras = many_to_one_extras _meta.foreign_key_extras = foreign_key_extras _meta.login_required = _meta.login_required or ( _meta.permissions and len(_meta.permissions) > 0 ) super().__init_subclass_with_meta__(arguments=arguments, _meta=_meta, **kwargs) def get_queryset(self): Model = self._meta.model return Model.objects @classmethod def mutate(cls, root, info, id, input): if cls._meta.login_required and not info.context.user.is_authenticated: raise GraphQLError("Must be logged in to access this mutation.") if cls._meta.permissions and len(cls._meta.permissions) > 0: if not info.context.user.has_perms(cls._meta.permissions): raise GraphQLError("Not permitted to access this mutation.") id = disambiguate_id(id) Model = cls._meta.model queryset = cls.get_queryset(Model) obj = queryset.get(pk=id) auto_context_fields = cls._meta.auto_context_fields or {} obj = cls.update_obj( obj, input, info, auto_context_fields, cls._meta.many_to_many_extras, cls._meta.foreign_key_extras, cls._meta.many_to_one_extras, Model ) obj.save() kwargs = {cls._meta.return_field_name: obj} return cls(**kwargs) class DjangoCreateMutationOptions(MutationOptions): model = None only_fields = None exclude_fields = None return_field_name = None permissions = None login_required = None auto_context_fields = None optional_fields = () required_fields = () many_to_many_extras = None many_to_one_extras = None foreign_key_extras = None type_name = None class DjangoCreateMutation(DjangoCudBase): class Meta: abstract = True @classmethod def __init_subclass_with_meta__( cls, model=None, permissions=None, login_required=None, only_fields=(), exclude_fields=(), optional_fields=(), required_fields=(), auto_context_fields={}, return_field_name=None, many_to_many_extras=None, foreign_key_extras = None, many_to_one_extras = None, type_name=None, **kwargs, ): registry = get_global_registry() meta_registry = get_type_meta_registry() model_type = registry.get_type_for_model(model) if many_to_one_extras is None: many_to_one_extras = {} if foreign_key_extras is None: foreign_key_extras = {} if many_to_many_extras is None: many_to_many_extras = {} assert model_type, f"Model type must be registered for model {model}" if not return_field_name: return_field_name = to_snake_case(model.__name__) input_type_name = type_name or f"Create{model.__name__}Input" model_fields = get_input_fields_for_model( model, only_fields, exclude_fields, tuple(auto_context_fields.keys()) + optional_fields, required_fields, many_to_many_extras, foreign_key_extras, many_to_one_extras, parent_type_name=input_type_name, ) InputType = type( input_type_name, (InputObjectType,), model_fields ) # Register meta-data meta_registry.register( input_type_name, { 'auto_context_fields': auto_context_fields or {}, 'optional_fields': optional_fields, 'required_fields': required_fields, 'many_to_many_extras': many_to_many_extras or {}, 'foreign_key_extras': foreign_key_extras or {} } ) registry.register_converted_field( input_type_name, InputType ) arguments = OrderedDict(input=InputType(required=True)) output_fields = OrderedDict() output_fields[return_field_name] = graphene.Field(model_type) _meta = DjangoCreateMutationOptions(cls) _meta.model = model _meta.fields = yank_fields_from_attrs(output_fields, _as=graphene.Field) _meta.return_field_name = return_field_name _meta.optional_fields = optional_fields _meta.required_fields = required_fields _meta.permissions = permissions _meta.auto_context_fields = auto_context_fields or {} _meta.many_to_many_extras = many_to_many_extras or {} _meta.foreign_key_extras = foreign_key_extras _meta.many_to_one_extras = many_to_one_extras or {} _meta.InputType = InputType _meta.input_type_name = input_type_name _meta.login_required = _meta.login_required or ( _meta.permissions and len(_meta.permissions) > 0 ) super().__init_subclass_with_meta__(arguments=arguments, _meta=_meta, **kwargs) @classmethod def mutate(cls, root, info, input): if cls._meta.login_required and not info.context.user.is_authenticated: raise GraphQLError("Must be logged in to access this mutation.") if cls._meta.permissions and len(cls._meta.permissions) > 0: if not info.context.user.has_perms(cls._meta.permissions): raise GraphQLError("Not permitted to access this mutation.") Model = cls._meta.model model_field_values = {} auto_context_fields = cls._meta.auto_context_fields or {} obj = cls.create_obj( input, info, auto_context_fields, cls._meta.many_to_many_extras, cls._meta.foreign_key_extras, cls._meta.many_to_one_extras, Model ) kwargs = {cls._meta.return_field_name: obj} return cls(**kwargs) class DjangoBatchCreateMutationOptions(MutationOptions): model = None only_fields = None exclude_fields = None return_field_name = None permissions = None login_required = None auto_context_fields = None optional_fields = () required_fields = () many_to_many_extras = None many_to_one_extras = None foreign_key_extras = None type_name = None use_type_name = None class DjangoBatchCreateMutation(DjangoCudBase): class Meta: abstract = True @classmethod def __init_subclass_with_meta__( cls, model=None, permissions=None, login_required=None, only_fields=(), exclude_fields=(), optional_fields=(), required_fields=(), auto_context_fields={}, return_field_name=None, many_to_many_extras=None, foreign_key_extras = None, many_to_one_extras = None, type_name=None, use_type_name=None, **kwargs, ): registry = get_global_registry() meta_registry = get_type_meta_registry() model_type = registry.get_type_for_model(model) if many_to_one_extras is None: many_to_one_extras = {} if foreign_key_extras is None: foreign_key_extras = {} if many_to_many_extras is None: many_to_many_extras = {} assert model_type, f"Model type must be registered for model {model}" if not return_field_name: # Pluralize return_field_name = to_snake_case(model.__name__) + "s" if use_type_name: input_type_name = use_type_name InputType = registry.get_converted_field( input_type_name ) if not InputType: raise GraphQLError(f"Could not find input type with name {input_type_name}") else: input_type_name = type_name or f"BatchCreate{model.__name__}Input" model_fields = get_input_fields_for_model( model, only_fields, exclude_fields, tuple(auto_context_fields.keys()) + optional_fields, required_fields, many_to_many_extras, foreign_key_extras, many_to_one_extras, parent_type_name=input_type_name, ) InputType = type( input_type_name, (InputObjectType,), model_fields ) # Register meta-data meta_registry.register( input_type_name, { 'auto_context_fields': auto_context_fields or {}, 'optional_fields': optional_fields, 'required_fields': required_fields, 'many_to_many_extras': many_to_many_extras or {}, 'foreign_key_extras': foreign_key_extras or {} } ) registry.register_converted_field( input_type_name, InputType ) arguments = OrderedDict(input=graphene.List(InputType, required=True)) output_fields = OrderedDict() output_fields[return_field_name] = graphene.List(model_type) _meta = DjangoBatchCreateMutationOptions(cls) _meta.model = model _meta.fields = yank_fields_from_attrs(output_fields, _as=graphene.Field) _meta.return_field_name = return_field_name _meta.optional_fields = optional_fields _meta.required_fields = required_fields _meta.permissions = permissions _meta.auto_context_fields = auto_context_fields or {} _meta.many_to_many_extras = many_to_many_extras or {} _meta.foreign_key_extras = foreign_key_extras _meta.many_to_one_extras = many_to_one_extras or {} _meta.InputType = InputType _meta.input_type_name = input_type_name _meta.login_required = _meta.login_required or ( _meta.permissions and len(_meta.permissions) > 0 ) super().__init_subclass_with_meta__(arguments=arguments, _meta=_meta, **kwargs) @classmethod def mutate(cls, root, info, input): if cls._meta.login_required and not info.context.user.is_authenticated: raise GraphQLError("Must be logged in to access this mutation.") if cls._meta.permissions and len(cls._meta.permissions) > 0: if not info.context.user.has_perms(cls._meta.permissions): raise GraphQLError("Not permitted to access this mutation.") Model = cls._meta.model model_field_values = {} auto_context_fields = cls._meta.auto_context_fields or {} created_objs = [] with transaction.atomic(): for data in input: obj = cls.create_obj( data, info, auto_context_fields, cls._meta.many_to_many_extras, cls._meta.foreign_key_extras, cls._meta.many_to_one_extras, Model ) created_objs.append(obj) kwargs = {cls._meta.return_field_name: created_objs} return cls(**kwargs) class DjangoDeleteMutationOptions(MutationOptions): model = None permissions = None login_required = None class DjangoDeleteMutation(Mutation): class Meta: abstract = True @classmethod def __init_subclass_with_meta__( cls, model=None, permissions=None, login_required=None, only_fields=(), exclude_fields=(), return_field_name=None, **kwargs, ): registry = get_global_registry() if not return_field_name: return_field_name = to_snake_case(model.__name__) arguments = OrderedDict(id=graphene.ID(required=True)) output_fields = OrderedDict() output_fields["found"] = graphene.Boolean() output_fields["deleted_id"] = graphene.ID() _meta = DjangoDeleteMutationOptions(cls) _meta.model = model _meta.fields = yank_fields_from_attrs(output_fields, _as=graphene.Field) _meta.return_field_name = return_field_name _meta.permissions = permissions _meta.login_required = _meta.login_required or ( _meta.permissions and len(_meta.permissions) > 0 ) super().__init_subclass_with_meta__(arguments=arguments, _meta=_meta, **kwargs) @classmethod def mutate(cls, root, info, id): if cls._meta.login_required and not info.context.user.is_authenticated: raise GraphQLError("Must be logged in to access this mutation.") if cls._meta.permissions and len(cls._meta.permissions) > 0: if not info.context.user.has_perms(cls._meta.permissions): raise GraphQLError("Not permitted to access this mutation.") Model = cls._meta.model id = disambiguate_id(id) try: obj = Model.objects.get(pk=id) obj.delete() return cls(found=True, deleted_id=id) except ObjectDoesNotExist: return cls(found=False) class DjangoBatchDeleteMutationOptions(MutationOptions): model = None filter_fields = None filter_class = None permissions = None login_required = None class DjangoBatchDeleteMutation(Mutation): class Meta: abstract = True @classmethod def __init_subclass_with_meta__( cls, model=None, permissions=None, login_required=None, filter_fields=(), filter_class=None, **kwargs, ): registry = get_global_registry() model_type = registry.get_type_for_model(model) assert model_type, f"Model type must be registered for model {model}" assert ( len(filter_fields) > 0 ), f"You must specify at least one field to filter on for deletion." input_arguments = get_filter_fields_input_args( filter_fields, model ) InputType = type( f"BatchDelete{model.__name__}Input", (InputObjectType,), input_arguments ) arguments = OrderedDict(input=InputType(required=True)) output_fields = OrderedDict() output_fields["deletion_count"] = graphene.Int() output_fields["deleted_ids"] = graphene.List(graphene.ID) _meta = DjangoBatchDeleteMutationOptions(cls) _meta.model = model _meta.fields = yank_fields_from_attrs(output_fields, _as=graphene.Field) _meta.filter_fields = filter_fields _meta.permissions = permissions _meta.login_required = _meta.login_required or ( _meta.permissions and len(_meta.permissions) > 0 ) super().__init_subclass_with_meta__(arguments=arguments, _meta=_meta, **kwargs) @classmethod def mutate(cls, root, info, input): if cls._meta.login_required and not info.context.user.is_authenticated: raise GraphQLError("Must be logged in to access this mutation.") if cls._meta.permissions and len(cls._meta.permissions) > 0: if not info.context.user.has_perms(cls._meta.permissions): raise GraphQLError("Not permitted to access this mutation.") Model = cls._meta.model model_field_values = {} for name, value in super(type(input), input).items(): filter_field_split = name.split("__", 1) field_name = filter_field_split[0] try: field = Model._meta.get_field(field_name) except FieldDoesNotExist: # This can happen with nested selectors. In this case we set the field to none. field = None filter_field_is_list = False if len(filter_field_split) > 1: # If we have an "__in" final part of the filter, we are now dealing with # a list of things. Note that all other variants can be coerced directly # on the filter-call, so we don't really have to deal with other cases. filter_field_is_list = filter_field_split[-1] == "in" new_value = value value_handle_name = "handle_" + name if hasattr(cls, value_handle_name): handle_func = getattr(cls, value_handle_name) assert callable( handle_func ), f"Property {value_handle_name} on {cls.__name__} is not a function." new_value = handle_func(value, name, info) # On some fields we perform some default conversion, if the value was not transformed above. if new_value == value and value is not None: if type(field) in (models.ForeignKey, models.OneToOneField): name = getattr(field, "db_column", None) or name + "_id" new_value = disambiguate_id(value) elif type(field) in ( models.ManyToManyField, models.ManyToManyRel, models.ManyToOneRel, ) or filter_field_is_list: new_value = disambiguate_ids(value) model_field_values[name] = new_value filter_qs = Model.objects.filter(**model_field_values) ids = [ to_global_id(get_global_registry().get_type_for_model(Model).__name__, id) for id in filter_qs.values_list("id", flat=True) ] deletion_count, _ = filter_qs.delete() return cls(deletion_count=deletion_count, deleted_ids=ids)

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afc3e776dae3b5b2f91d013ecf69e2b4d03f85b9

78,351

py

Python

hermes_fix/message_lib/FIX_4_2/fix_messages.py

yabov/hermes_fix

0a5e89fd15903a7ee0929e82b39879362e2e1008

[ "Apache-2.0" ]

2

2020-02-20T15:00:35.000Z

2020-02-21T19:27:53.000Z

hermes_fix/message_lib/FIX_4_2/fix_messages.py

yabov/hermes_fix

0a5e89fd15903a7ee0929e82b39879362e2e1008

[ "Apache-2.0" ]

3

2020-02-21T03:25:35.000Z

2020-02-21T18:37:42.000Z

hermes_fix/message_lib/FIX_4_2/fix_messages.py

yabov/hermes_fix

0a5e89fd15903a7ee0929e82b39879362e2e1008

[ "Apache-2.0" ]

null

from ... import fix_message from . import fields from . import field_types BEGINSTRING = 'FIX.4.2' MESSAGE_TYPES = {} class Header(fix_message.MessageBase): def __init__(self): super().__init__() register_StandardHeader_component(self) class Trailer(fix_message.MessageBase): def __init__(self): super().__init__() register_StandardTrailer_component(self) ##############Begin Repeating Groups############### class NoIOIQualifiersGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.IOIQualifier, False) class NoRoutingIDsGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.RoutingType, False) self.register_field(fields.RoutingID, False) class NoContraBrokersGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.ContraBroker, False) self.register_field(fields.ContraTrader, False) self.register_field(fields.ContraTradeQty, False) self.register_field(fields.ContraTradeTime, False) class NoMsgTypesGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.RefMsgType, False) self.register_field(fields.MsgDirection, False) class NoRelatedSymGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.RelatdSym, False) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) class LinesOfTextGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.Text, True) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) class NoAllocsGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.AllocAccount, False) self.register_field(fields.AllocShares, False) class NoTradingSessionsGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.TradingSessionID, False) class NoOrdersGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.ClOrdID, True) self.register_field(fields.ListSeqNo, True) self.register_field(fields.SettlInstMode, False) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.Account, False) self.register_group(fields.NoAllocs, NoAllocsGroup, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.HandlInst, False) self.register_field(fields.ExecInst, False) self.register_field(fields.MinQty, False) self.register_field(fields.MaxFloor, False) self.register_field(fields.ExDestination, False) self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False) self.register_field(fields.ProcessCode, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.PrevClosePx, False) self.register_field(fields.Side, True) self.register_field(fields.SideValueInd, False) self.register_field(fields.LocateReqd, False) self.register_field(fields.TransactTime, False) self.register_field(fields.OrderQty, False) self.register_field(fields.CashOrderQty, False) self.register_field(fields.OrdType, False) self.register_field(fields.Price, False) self.register_field(fields.StopPx, False) self.register_field(fields.Currency, False) self.register_field(fields.ComplianceID, False) self.register_field(fields.SolicitedFlag, False) self.register_field(fields.IOIid, False) self.register_field(fields.QuoteID, False) self.register_field(fields.TimeInForce, False) self.register_field(fields.EffectiveTime, False) self.register_field(fields.ExpireDate, False) self.register_field(fields.ExpireTime, False) self.register_field(fields.GTBookingInst, False) self.register_field(fields.Commission, False) self.register_field(fields.CommType, False) self.register_field(fields.Rule80A, False) self.register_field(fields.ForexReq, False) self.register_field(fields.SettlCurrency, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) self.register_field(fields.FutSettDate2, False) self.register_field(fields.OrderQty2, False) self.register_field(fields.OpenClose, False) self.register_field(fields.CoveredOrUncovered, False) self.register_field(fields.CustomerOrFirm, False) self.register_field(fields.MaxShow, False) self.register_field(fields.PegDifference, False) self.register_field(fields.DiscretionInst, False) self.register_field(fields.DiscretionOffset, False) self.register_field(fields.ClearingFirm, False) self.register_field(fields.ClearingAccount, False) class NoExecsGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.LastShares, False) self.register_field(fields.ExecID, False) self.register_field(fields.LastPx, False) self.register_field(fields.LastCapacity, False) class NoMiscFeesGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.MiscFeeAmt, False) self.register_field(fields.MiscFeeCurr, False) self.register_field(fields.MiscFeeType, False) class NoMDEntryTypesGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.MDEntryType, True) class NoMDEntriesGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.MDEntryType, True) self.register_field(fields.MDEntryPx, True) self.register_field(fields.Currency, False) self.register_field(fields.MDEntrySize, False) self.register_field(fields.MDEntryDate, False) self.register_field(fields.MDEntryTime, False) self.register_field(fields.TickDirection, False) self.register_field(fields.MDMkt, False) self.register_field(fields.TradingSessionID, False) self.register_field(fields.QuoteCondition, False) self.register_field(fields.TradeCondition, False) self.register_field(fields.MDEntryOriginator, False) self.register_field(fields.LocationID, False) self.register_field(fields.DeskID, False) self.register_field(fields.OpenCloseSettleFlag, False) self.register_field(fields.TimeInForce, False) self.register_field(fields.ExpireDate, False) self.register_field(fields.ExpireTime, False) self.register_field(fields.MinQty, False) self.register_field(fields.ExecInst, False) self.register_field(fields.SellerDays, False) self.register_field(fields.OrderID, False) self.register_field(fields.QuoteEntryID, False) self.register_field(fields.MDEntryBuyer, False) self.register_field(fields.MDEntrySeller, False) self.register_field(fields.NumberOfOrders, False) self.register_field(fields.MDEntryPositionNo, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) class NoQuoteEntriesGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.UnderlyingSymbol, False) class NoQuoteSetsGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.QuoteSetID, False) self.register_field(fields.UnderlyingSymbol, False) self.register_field(fields.UnderlyingSymbolSfx, False) self.register_field(fields.UnderlyingSecurityID, False) self.register_field(fields.UnderlyingIDSource, False) self.register_field(fields.UnderlyingSecurityType, False) self.register_field(fields.UnderlyingMaturityMonthYear, False) self.register_field(fields.UnderlyingMaturityDay, False) self.register_field(fields.UnderlyingPutOrCall, False) self.register_field(fields.UnderlyingStrikePrice, False) self.register_field(fields.UnderlyingOptAttribute, False) self.register_field(fields.UnderlyingContractMultiplier, False) self.register_field(fields.UnderlyingCouponRate, False) self.register_field(fields.UnderlyingSecurityExchange, False) self.register_field(fields.UnderlyingIssuer, False) self.register_field(fields.EncodedUnderlyingIssuerLen, False) self.register_field(fields.EncodedUnderlyingIssuer, False) self.register_field(fields.UnderlyingSecurityDesc, False) self.register_field(fields.EncodedUnderlyingSecurityDescLen, False) self.register_field(fields.EncodedUnderlyingSecurityDesc, False) self.register_field(fields.TotQuoteEntries, False) self.register_group(fields.NoQuoteEntries, NoQuoteEntriesGroup, False) class NoBidDescriptorsGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.BidDescriptorType, False) self.register_field(fields.BidDescriptor, False) self.register_field(fields.SideValueInd, False) self.register_field(fields.LiquidityValue, False) self.register_field(fields.LiquidityNumSecurities, False) self.register_field(fields.LiquidityPctLow, False) self.register_field(fields.LiquidityPctHigh, False) self.register_field(fields.EFPTrackingError, False) self.register_field(fields.FairValue, False) self.register_field(fields.OutsideIndexPct, False) self.register_field(fields.ValueOfFutures, False) class NoBidComponentsGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.ListID, False) self.register_field(fields.Side, False) self.register_field(fields.TradingSessionID, False) self.register_field(fields.NetGrossInd, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.Account, False) class NoStrikesGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.PrevClosePx, False) self.register_field(fields.ClOrdID, False) self.register_field(fields.Side, False) self.register_field(fields.Price, True) self.register_field(fields.Currency, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) ##############End Repeating Groups############### ##############Begin Componenets############### def register_StandardHeader_component(self): self.register_field(fields.BeginString, True) self.register_field(fields.BodyLength, True) self.register_field(fields.MsgType, True) self.register_field(fields.SenderCompID, True) self.register_field(fields.TargetCompID, True) self.register_field(fields.OnBehalfOfCompID, False) self.register_field(fields.DeliverToCompID, False) self.register_field(fields.SecureDataLen, False) self.register_field(fields.SecureData, False) self.register_field(fields.MsgSeqNum, True) self.register_field(fields.SenderSubID, False) self.register_field(fields.SenderLocationID, False) self.register_field(fields.TargetSubID, False) self.register_field(fields.TargetLocationID, False) self.register_field(fields.OnBehalfOfSubID, False) self.register_field(fields.OnBehalfOfLocationID, False) self.register_field(fields.DeliverToSubID, False) self.register_field(fields.DeliverToLocationID, False) self.register_field(fields.PossDupFlag, False) self.register_field(fields.PossResend, False) self.register_field(fields.SendingTime, True) self.register_field(fields.OrigSendingTime, False) self.register_field(fields.XmlDataLen, False) self.register_field(fields.XmlData, False) self.register_field(fields.MessageEncoding, False) self.register_field(fields.LastMsgSeqNumProcessed, False) self.register_field(fields.OnBehalfOfSendingTime, False) def register_StandardTrailer_component(self): self.register_field(fields.SignatureLength, False) self.register_field(fields.Signature, False) self.register_field(fields.CheckSum, True) ##############End Componenets############### class Heartbeat(fix_message.MessageBase): _msgtype = '0' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.TestReqID, False) MESSAGE_TYPES['0'] = Heartbeat class TestRequest(fix_message.MessageBase): _msgtype = '1' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.TestReqID, True) MESSAGE_TYPES['1'] = TestRequest class ResendRequest(fix_message.MessageBase): _msgtype = '2' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.BeginSeqNo, True) self.register_field(fields.EndSeqNo, True) MESSAGE_TYPES['2'] = ResendRequest class Reject(fix_message.MessageBase): _msgtype = '3' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.RefSeqNum, True) self.register_field(fields.RefTagID, False) self.register_field(fields.RefMsgType, False) self.register_field(fields.SessionRejectReason, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['3'] = Reject class SequenceReset(fix_message.MessageBase): _msgtype = '4' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.GapFillFlag, False) self.register_field(fields.NewSeqNo, True) MESSAGE_TYPES['4'] = SequenceReset class Logout(fix_message.MessageBase): _msgtype = '5' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['5'] = Logout class IOI(fix_message.MessageBase): _msgtype = '6' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.IOIid, True) self.register_field(fields.IOITransType, True) self.register_field(fields.IOIRefID, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Side, True) self.register_field(fields.IOIShares, True) self.register_field(fields.Price, False) self.register_field(fields.Currency, False) self.register_field(fields.ValidUntilTime, False) self.register_field(fields.IOIQltyInd, False) self.register_field(fields.IOINaturalFlag, False) self.register_group(fields.NoIOIQualifiers, NoIOIQualifiersGroup, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) self.register_field(fields.TransactTime, False) self.register_field(fields.URLLink, False) self.register_group(fields.NoRoutingIDs, NoRoutingIDsGroup, False) self.register_field(fields.SpreadToBenchmark, False) self.register_field(fields.Benchmark, False) MESSAGE_TYPES['6'] = IOI class Advertisement(fix_message.MessageBase): _msgtype = '7' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.AdvId, True) self.register_field(fields.AdvTransType, True) self.register_field(fields.AdvRefID, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.AdvSide, True) self.register_field(fields.Shares, True) self.register_field(fields.Price, False) self.register_field(fields.Currency, False) self.register_field(fields.TradeDate, False) self.register_field(fields.TransactTime, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) self.register_field(fields.URLLink, False) self.register_field(fields.LastMkt, False) self.register_field(fields.TradingSessionID, False) MESSAGE_TYPES['7'] = Advertisement class ExecutionReport(fix_message.MessageBase): _msgtype = '8' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrderID, True) self.register_field(fields.SecondaryOrderID, False) self.register_field(fields.ClOrdID, False) self.register_field(fields.OrigClOrdID, False) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_group(fields.NoContraBrokers, NoContraBrokersGroup, False) self.register_field(fields.ListID, False) self.register_field(fields.ExecID, True) self.register_field(fields.ExecTransType, True) self.register_field(fields.ExecRefID, False) self.register_field(fields.ExecType, True) self.register_field(fields.OrdStatus, True) self.register_field(fields.OrdRejReason, False) self.register_field(fields.ExecRestatementReason, False) self.register_field(fields.Account, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Side, True) self.register_field(fields.OrderQty, False) self.register_field(fields.CashOrderQty, False) self.register_field(fields.OrdType, False) self.register_field(fields.Price, False) self.register_field(fields.StopPx, False) self.register_field(fields.PegDifference, False) self.register_field(fields.DiscretionInst, False) self.register_field(fields.DiscretionOffset, False) self.register_field(fields.Currency, False) self.register_field(fields.ComplianceID, False) self.register_field(fields.SolicitedFlag, False) self.register_field(fields.TimeInForce, False) self.register_field(fields.EffectiveTime, False) self.register_field(fields.ExpireDate, False) self.register_field(fields.ExpireTime, False) self.register_field(fields.ExecInst, False) self.register_field(fields.Rule80A, False) self.register_field(fields.LastShares, False) self.register_field(fields.LastPx, False) self.register_field(fields.LastSpotRate, False) self.register_field(fields.LastForwardPoints, False) self.register_field(fields.LastMkt, False) self.register_field(fields.TradingSessionID, False) self.register_field(fields.LastCapacity, False) self.register_field(fields.LeavesQty, True) self.register_field(fields.CumQty, True) self.register_field(fields.AvgPx, True) self.register_field(fields.DayOrderQty, False) self.register_field(fields.DayCumQty, False) self.register_field(fields.DayAvgPx, False) self.register_field(fields.GTBookingInst, False) self.register_field(fields.TradeDate, False) self.register_field(fields.TransactTime, False) self.register_field(fields.ReportToExch, False) self.register_field(fields.Commission, False) self.register_field(fields.CommType, False) self.register_field(fields.GrossTradeAmt, False) self.register_field(fields.SettlCurrAmt, False) self.register_field(fields.SettlCurrency, False) self.register_field(fields.SettlCurrFxRate, False) self.register_field(fields.SettlCurrFxRateCalc, False) self.register_field(fields.HandlInst, False) self.register_field(fields.MinQty, False) self.register_field(fields.MaxFloor, False) self.register_field(fields.OpenClose, False) self.register_field(fields.MaxShow, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) self.register_field(fields.FutSettDate2, False) self.register_field(fields.OrderQty2, False) self.register_field(fields.ClearingFirm, False) self.register_field(fields.ClearingAccount, False) self.register_field(fields.MultiLegReportingType, False) MESSAGE_TYPES['8'] = ExecutionReport class OrderCancelReject(fix_message.MessageBase): _msgtype = '9' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrderID, True) self.register_field(fields.SecondaryOrderID, False) self.register_field(fields.ClOrdID, True) self.register_field(fields.OrigClOrdID, True) self.register_field(fields.OrdStatus, True) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.ListID, False) self.register_field(fields.Account, False) self.register_field(fields.TransactTime, False) self.register_field(fields.CxlRejResponseTo, True) self.register_field(fields.CxlRejReason, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['9'] = OrderCancelReject class Logon(fix_message.MessageBase): _msgtype = 'A' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.EncryptMethod, True) self.register_field(fields.HeartBtInt, True) self.register_field(fields.RawDataLength, False) self.register_field(fields.RawData, False) self.register_field(fields.ResetSeqNumFlag, False) self.register_field(fields.MaxMessageSize, False) self.register_group(fields.NoMsgTypes, NoMsgTypesGroup, False) MESSAGE_TYPES['A'] = Logon class News(fix_message.MessageBase): _msgtype = 'B' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrigTime, False) self.register_field(fields.Urgency, False) self.register_field(fields.Headline, True) self.register_field(fields.EncodedHeadlineLen, False) self.register_field(fields.EncodedHeadline, False) self.register_group(fields.NoRoutingIDs, NoRoutingIDsGroup, False) self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, False) self.register_group(fields.LinesOfText, LinesOfTextGroup, True) self.register_field(fields.URLLink, False) self.register_field(fields.RawDataLength, False) self.register_field(fields.RawData, False) MESSAGE_TYPES['B'] = News class Email(fix_message.MessageBase): _msgtype = 'C' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.EmailThreadID, True) self.register_field(fields.EmailType, True) self.register_field(fields.OrigTime, False) self.register_field(fields.Subject, True) self.register_field(fields.EncodedSubjectLen, False) self.register_field(fields.EncodedSubject, False) self.register_group(fields.NoRoutingIDs, NoRoutingIDsGroup, False) self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, False) self.register_field(fields.OrderID, False) self.register_field(fields.ClOrdID, False) self.register_group(fields.LinesOfText, LinesOfTextGroup, True) self.register_field(fields.RawDataLength, False) self.register_field(fields.RawData, False) MESSAGE_TYPES['C'] = Email class OrderSingle(fix_message.MessageBase): _msgtype = 'D' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ClOrdID, True) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.Account, False) self.register_group(fields.NoAllocs, NoAllocsGroup, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.HandlInst, True) self.register_field(fields.ExecInst, False) self.register_field(fields.MinQty, False) self.register_field(fields.MaxFloor, False) self.register_field(fields.ExDestination, False) self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False) self.register_field(fields.ProcessCode, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.PrevClosePx, False) self.register_field(fields.Side, True) self.register_field(fields.LocateReqd, False) self.register_field(fields.TransactTime, True) self.register_field(fields.OrderQty, False) self.register_field(fields.CashOrderQty, False) self.register_field(fields.OrdType, True) self.register_field(fields.Price, False) self.register_field(fields.StopPx, False) self.register_field(fields.Currency, False) self.register_field(fields.ComplianceID, False) self.register_field(fields.SolicitedFlag, False) self.register_field(fields.IOIid, False) self.register_field(fields.QuoteID, False) self.register_field(fields.TimeInForce, False) self.register_field(fields.EffectiveTime, False) self.register_field(fields.ExpireDate, False) self.register_field(fields.ExpireTime, False) self.register_field(fields.GTBookingInst, False) self.register_field(fields.Commission, False) self.register_field(fields.CommType, False) self.register_field(fields.Rule80A, False) self.register_field(fields.ForexReq, False) self.register_field(fields.SettlCurrency, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) self.register_field(fields.FutSettDate2, False) self.register_field(fields.OrderQty2, False) self.register_field(fields.OpenClose, False) self.register_field(fields.CoveredOrUncovered, False) self.register_field(fields.CustomerOrFirm, False) self.register_field(fields.MaxShow, False) self.register_field(fields.PegDifference, False) self.register_field(fields.DiscretionInst, False) self.register_field(fields.DiscretionOffset, False) self.register_field(fields.ClearingFirm, False) self.register_field(fields.ClearingAccount, False) MESSAGE_TYPES['D'] = OrderSingle class OrderList(fix_message.MessageBase): _msgtype = 'E' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.BidID, False) self.register_field(fields.ClientBidID, False) self.register_field(fields.ProgRptReqs, False) self.register_field(fields.BidType, True) self.register_field(fields.ProgPeriodInterval, False) self.register_field(fields.ListExecInstType, False) self.register_field(fields.ListExecInst, False) self.register_field(fields.EncodedListExecInstLen, False) self.register_field(fields.EncodedListExecInst, False) self.register_field(fields.TotNoOrders, True) self.register_group(fields.NoOrders, NoOrdersGroup, True) MESSAGE_TYPES['E'] = OrderList class OrderCancelRequest(fix_message.MessageBase): _msgtype = 'F' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrigClOrdID, True) self.register_field(fields.OrderID, False) self.register_field(fields.ClOrdID, True) self.register_field(fields.ListID, False) self.register_field(fields.Account, False) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Side, True) self.register_field(fields.TransactTime, True) self.register_field(fields.OrderQty, False) self.register_field(fields.CashOrderQty, False) self.register_field(fields.ComplianceID, False) self.register_field(fields.SolicitedFlag, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['F'] = OrderCancelRequest class OrderCancelReplaceRequest(fix_message.MessageBase): _msgtype = 'G' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrderID, False) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.OrigClOrdID, True) self.register_field(fields.ClOrdID, True) self.register_field(fields.ListID, False) self.register_field(fields.Account, False) self.register_group(fields.NoAllocs, NoAllocsGroup, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.HandlInst, True) self.register_field(fields.ExecInst, False) self.register_field(fields.MinQty, False) self.register_field(fields.MaxFloor, False) self.register_field(fields.ExDestination, False) self.register_group(fields.NoTradingSessions, NoTradingSessionsGroup, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Side, True) self.register_field(fields.TransactTime, True) self.register_field(fields.OrderQty, False) self.register_field(fields.CashOrderQty, False) self.register_field(fields.OrdType, True) self.register_field(fields.Price, False) self.register_field(fields.StopPx, False) self.register_field(fields.PegDifference, False) self.register_field(fields.DiscretionInst, False) self.register_field(fields.DiscretionOffset, False) self.register_field(fields.ComplianceID, False) self.register_field(fields.SolicitedFlag, False) self.register_field(fields.Currency, False) self.register_field(fields.TimeInForce, False) self.register_field(fields.EffectiveTime, False) self.register_field(fields.ExpireDate, False) self.register_field(fields.ExpireTime, False) self.register_field(fields.GTBookingInst, False) self.register_field(fields.Commission, False) self.register_field(fields.CommType, False) self.register_field(fields.Rule80A, False) self.register_field(fields.ForexReq, False) self.register_field(fields.SettlCurrency, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) self.register_field(fields.FutSettDate2, False) self.register_field(fields.OrderQty2, False) self.register_field(fields.OpenClose, False) self.register_field(fields.CoveredOrUncovered, False) self.register_field(fields.CustomerOrFirm, False) self.register_field(fields.MaxShow, False) self.register_field(fields.LocateReqd, False) self.register_field(fields.ClearingFirm, False) self.register_field(fields.ClearingAccount, False) MESSAGE_TYPES['G'] = OrderCancelReplaceRequest class OrderStatusRequest(fix_message.MessageBase): _msgtype = 'H' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrderID, False) self.register_field(fields.ClOrdID, True) self.register_field(fields.ClientID, False) self.register_field(fields.Account, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Side, True) MESSAGE_TYPES['H'] = OrderStatusRequest class Allocation(fix_message.MessageBase): _msgtype = 'J' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.AllocID, True) self.register_field(fields.AllocTransType, True) self.register_field(fields.RefAllocID, False) self.register_field(fields.AllocLinkID, False) self.register_field(fields.AllocLinkType, False) self.register_group(fields.NoOrders, NoOrdersGroup, False) self.register_group(fields.NoExecs, NoExecsGroup, False) self.register_field(fields.Side, True) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Shares, True) self.register_field(fields.LastMkt, False) self.register_field(fields.TradingSessionID, False) self.register_field(fields.AvgPx, True) self.register_field(fields.Currency, False) self.register_field(fields.AvgPrxPrecision, False) self.register_field(fields.TradeDate, True) self.register_field(fields.TransactTime, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.GrossTradeAmt, False) self.register_field(fields.NetMoney, False) self.register_field(fields.OpenClose, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) self.register_field(fields.NumDaysInterest, False) self.register_field(fields.AccruedInterestRate, False) self.register_group(fields.NoAllocs, NoAllocsGroup, False) MESSAGE_TYPES['J'] = Allocation class ListCancelRequest(fix_message.MessageBase): _msgtype = 'K' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.TransactTime, True) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['K'] = ListCancelRequest class ListExecute(fix_message.MessageBase): _msgtype = 'L' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.ClientBidID, False) self.register_field(fields.BidID, False) self.register_field(fields.TransactTime, True) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['L'] = ListExecute class ListStatusRequest(fix_message.MessageBase): _msgtype = 'M' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['M'] = ListStatusRequest class ListStatus(fix_message.MessageBase): _msgtype = 'N' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.ListStatusType, True) self.register_field(fields.NoRpts, True) self.register_field(fields.ListOrderStatus, True) self.register_field(fields.RptSeq, True) self.register_field(fields.ListStatusText, False) self.register_field(fields.EncodedListStatusTextLen, False) self.register_field(fields.EncodedListStatusText, False) self.register_field(fields.TransactTime, False) self.register_field(fields.TotNoOrders, True) self.register_group(fields.NoOrders, NoOrdersGroup, True) MESSAGE_TYPES['N'] = ListStatus class AllocationInstructionAck(fix_message.MessageBase): _msgtype = 'P' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.AllocID, True) self.register_field(fields.TradeDate, True) self.register_field(fields.TransactTime, False) self.register_field(fields.AllocStatus, True) self.register_field(fields.AllocRejCode, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['P'] = AllocationInstructionAck class DontKnowTrade(fix_message.MessageBase): _msgtype = 'Q' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrderID, True) self.register_field(fields.ExecID, True) self.register_field(fields.DKReason, True) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Side, True) self.register_field(fields.OrderQty, False) self.register_field(fields.CashOrderQty, False) self.register_field(fields.LastShares, False) self.register_field(fields.LastPx, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['Q'] = DontKnowTrade class QuoteRequest(fix_message.MessageBase): _msgtype = 'R' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.QuoteReqID, True) self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, True) MESSAGE_TYPES['R'] = QuoteRequest class Quote(fix_message.MessageBase): _msgtype = 'S' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.QuoteReqID, False) self.register_field(fields.QuoteID, True) self.register_field(fields.QuoteResponseLevel, False) self.register_field(fields.TradingSessionID, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.BidPx, False) self.register_field(fields.OfferPx, False) self.register_field(fields.BidSize, False) self.register_field(fields.OfferSize, False) self.register_field(fields.ValidUntilTime, False) self.register_field(fields.BidSpotRate, False) self.register_field(fields.OfferSpotRate, False) self.register_field(fields.BidForwardPoints, False) self.register_field(fields.OfferForwardPoints, False) self.register_field(fields.TransactTime, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.OrdType, False) self.register_field(fields.FutSettDate2, False) self.register_field(fields.OrderQty2, False) self.register_field(fields.Currency, False) MESSAGE_TYPES['S'] = Quote class SettlementInstructions(fix_message.MessageBase): _msgtype = 'T' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.SettlInstID, True) self.register_field(fields.SettlInstTransType, True) self.register_field(fields.SettlInstRefID, True) self.register_field(fields.SettlInstMode, True) self.register_field(fields.SettlInstSource, True) self.register_field(fields.AllocAccount, True) self.register_field(fields.SettlLocation, False) self.register_field(fields.TradeDate, False) self.register_field(fields.AllocID, False) self.register_field(fields.LastMkt, False) self.register_field(fields.TradingSessionID, False) self.register_field(fields.Side, False) self.register_field(fields.SecurityType, False) self.register_field(fields.EffectiveTime, False) self.register_field(fields.TransactTime, True) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.StandInstDbType, False) self.register_field(fields.StandInstDbName, False) self.register_field(fields.StandInstDbID, False) self.register_field(fields.SettlDeliveryType, False) self.register_field(fields.SettlDepositoryCode, False) self.register_field(fields.SettlBrkrCode, False) self.register_field(fields.SettlInstCode, False) self.register_field(fields.SecuritySettlAgentName, False) self.register_field(fields.SecuritySettlAgentCode, False) self.register_field(fields.SecuritySettlAgentAcctNum, False) self.register_field(fields.SecuritySettlAgentAcctName, False) self.register_field(fields.SecuritySettlAgentContactName, False) self.register_field(fields.SecuritySettlAgentContactPhone, False) self.register_field(fields.CashSettlAgentName, False) self.register_field(fields.CashSettlAgentCode, False) self.register_field(fields.CashSettlAgentAcctNum, False) self.register_field(fields.CashSettlAgentAcctName, False) self.register_field(fields.CashSettlAgentContactName, False) self.register_field(fields.CashSettlAgentContactPhone, False) MESSAGE_TYPES['T'] = SettlementInstructions class MarketDataRequest(fix_message.MessageBase): _msgtype = 'V' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.MDReqID, True) self.register_field(fields.SubscriptionRequestType, True) self.register_field(fields.MarketDepth, True) self.register_field(fields.MDUpdateType, False) self.register_field(fields.AggregatedBook, False) self.register_group(fields.NoMDEntryTypes, NoMDEntryTypesGroup, True) self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, True) MESSAGE_TYPES['V'] = MarketDataRequest class MarketDataSnapshotFullRefresh(fix_message.MessageBase): _msgtype = 'W' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.MDReqID, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.FinancialStatus, False) self.register_field(fields.CorporateAction, False) self.register_field(fields.TotalVolumeTraded, False) self.register_group(fields.NoMDEntries, NoMDEntriesGroup, True) MESSAGE_TYPES['W'] = MarketDataSnapshotFullRefresh class MarketDataIncrementalRefresh(fix_message.MessageBase): _msgtype = 'X' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.MDReqID, False) self.register_group(fields.NoMDEntries, NoMDEntriesGroup, True) MESSAGE_TYPES['X'] = MarketDataIncrementalRefresh class MarketDataRequestReject(fix_message.MessageBase): _msgtype = 'Y' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.MDReqID, True) self.register_field(fields.MDReqRejReason, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['Y'] = MarketDataRequestReject class QuoteCancel(fix_message.MessageBase): _msgtype = 'Z' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.QuoteReqID, False) self.register_field(fields.QuoteID, True) self.register_field(fields.QuoteCancelType, True) self.register_field(fields.QuoteResponseLevel, False) self.register_field(fields.TradingSessionID, False) self.register_group(fields.NoQuoteEntries, NoQuoteEntriesGroup, True) MESSAGE_TYPES['Z'] = QuoteCancel class QuoteStatusRequest(fix_message.MessageBase): _msgtype = 'a' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.QuoteID, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Side, False) self.register_field(fields.TradingSessionID, False) MESSAGE_TYPES['a'] = QuoteStatusRequest class QuoteAcknowledgement(fix_message.MessageBase): _msgtype = 'b' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.QuoteReqID, False) self.register_field(fields.QuoteID, False) self.register_field(fields.QuoteAckStatus, True) self.register_field(fields.QuoteRejectReason, False) self.register_field(fields.QuoteResponseLevel, False) self.register_field(fields.TradingSessionID, False) self.register_field(fields.Text, False) self.register_group(fields.NoQuoteSets, NoQuoteSetsGroup, False) MESSAGE_TYPES['b'] = QuoteAcknowledgement class SecurityDefinitionRequest(fix_message.MessageBase): _msgtype = 'c' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.SecurityReqID, True) self.register_field(fields.SecurityRequestType, True) self.register_field(fields.Symbol, False) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Currency, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) self.register_field(fields.TradingSessionID, False) self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, False) MESSAGE_TYPES['c'] = SecurityDefinitionRequest class SecurityDefinition(fix_message.MessageBase): _msgtype = 'd' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.SecurityReqID, True) self.register_field(fields.SecurityResponseID, True) self.register_field(fields.SecurityResponseType, False) self.register_field(fields.TotalNumSecurities, True) self.register_field(fields.Symbol, False) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Currency, False) self.register_field(fields.TradingSessionID, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, False) MESSAGE_TYPES['d'] = SecurityDefinition class SecurityStatusRequest(fix_message.MessageBase): _msgtype = 'e' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.SecurityStatusReqID, True) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Currency, False) self.register_field(fields.SubscriptionRequestType, True) self.register_field(fields.TradingSessionID, False) MESSAGE_TYPES['e'] = SecurityStatusRequest class SecurityStatus(fix_message.MessageBase): _msgtype = 'f' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.SecurityStatusReqID, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.ContractMultiplier, False) self.register_field(fields.CouponRate, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.EncodedIssuerLen, False) self.register_field(fields.EncodedIssuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.EncodedSecurityDescLen, False) self.register_field(fields.EncodedSecurityDesc, False) self.register_field(fields.Currency, False) self.register_field(fields.TradingSessionID, False) self.register_field(fields.UnsolicitedIndicator, False) self.register_field(fields.SecurityTradingStatus, False) self.register_field(fields.FinancialStatus, False) self.register_field(fields.CorporateAction, False) self.register_field(fields.HaltReason, False) self.register_field(fields.InViewOfCommon, False) self.register_field(fields.DueToRelated, False) self.register_field(fields.BuyVolume, False) self.register_field(fields.SellVolume, False) self.register_field(fields.HighPx, False) self.register_field(fields.LowPx, False) self.register_field(fields.LastPx, False) self.register_field(fields.TransactTime, False) self.register_field(fields.Adjustment, False) MESSAGE_TYPES['f'] = SecurityStatus class TradingSessionStatusRequest(fix_message.MessageBase): _msgtype = 'g' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.TradSesReqID, True) self.register_field(fields.TradingSessionID, False) self.register_field(fields.TradSesMethod, False) self.register_field(fields.TradSesMode, False) self.register_field(fields.SubscriptionRequestType, True) MESSAGE_TYPES['g'] = TradingSessionStatusRequest class TradingSessionStatus(fix_message.MessageBase): _msgtype = 'h' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.TradSesReqID, False) self.register_field(fields.TradingSessionID, True) self.register_field(fields.TradSesMethod, False) self.register_field(fields.TradSesMode, False) self.register_field(fields.UnsolicitedIndicator, False) self.register_field(fields.TradSesStatus, True) self.register_field(fields.TradSesStartTime, False) self.register_field(fields.TradSesOpenTime, False) self.register_field(fields.TradSesPreCloseTime, False) self.register_field(fields.TradSesCloseTime, False) self.register_field(fields.TradSesEndTime, False) self.register_field(fields.TotalVolumeTraded, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['h'] = TradingSessionStatus class MassQuote(fix_message.MessageBase): _msgtype = 'i' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.QuoteReqID, False) self.register_field(fields.QuoteID, True) self.register_field(fields.QuoteResponseLevel, False) self.register_field(fields.DefBidSize, False) self.register_field(fields.DefOfferSize, False) self.register_group(fields.NoQuoteSets, NoQuoteSetsGroup, True) MESSAGE_TYPES['i'] = MassQuote class BusinessMessageReject(fix_message.MessageBase): _msgtype = 'j' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.RefSeqNum, False) self.register_field(fields.RefMsgType, True) self.register_field(fields.BusinessRejectRefID, False) self.register_field(fields.BusinessRejectReason, True) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['j'] = BusinessMessageReject class BidRequest(fix_message.MessageBase): _msgtype = 'k' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.BidID, False) self.register_field(fields.ClientBidID, True) self.register_field(fields.BidRequestTransType, True) self.register_field(fields.ListName, False) self.register_field(fields.TotalNumSecurities, True) self.register_field(fields.BidType, True) self.register_field(fields.NumTickets, False) self.register_field(fields.Currency, False) self.register_field(fields.SideValue1, False) self.register_field(fields.SideValue2, False) self.register_group(fields.NoBidDescriptors, NoBidDescriptorsGroup, False) self.register_group(fields.NoBidComponents, NoBidComponentsGroup, False) self.register_field(fields.LiquidityIndType, False) self.register_field(fields.WtAverageLiquidity, False) self.register_field(fields.ExchangeForPhysical, False) self.register_field(fields.OutMainCntryUIndex, False) self.register_field(fields.CrossPercent, False) self.register_field(fields.ProgRptReqs, False) self.register_field(fields.ProgPeriodInterval, False) self.register_field(fields.IncTaxInd, False) self.register_field(fields.ForexReq, False) self.register_field(fields.NumBidders, False) self.register_field(fields.TradeDate, False) self.register_field(fields.TradeType, True) self.register_field(fields.BasisPxType, True) self.register_field(fields.StrikeTime, False) self.register_field(fields.Text, False) self.register_field(fields.EncodedTextLen, False) self.register_field(fields.EncodedText, False) MESSAGE_TYPES['k'] = BidRequest class BidResponse(fix_message.MessageBase): _msgtype = 'l' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.BidID, False) self.register_field(fields.ClientBidID, False) self.register_group(fields.NoBidComponents, NoBidComponentsGroup, True) MESSAGE_TYPES['l'] = BidResponse class ListStrikePrice(fix_message.MessageBase): _msgtype = 'm' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.TotNoStrikes, True) self.register_group(fields.NoStrikes, NoStrikesGroup, True) MESSAGE_TYPES['m'] = ListStrikePrice

44.695379

84

0.716596

8,327

78,351

6.515552

0.060886

0.253912

0.348429

0.471404

0.873376

0.779007

0.771708

0.763303

0.761699

0.758179

0

0.000659

0.186188

78,351

1,752

85

44.72089

0.850227

0.000944

0

0.719874

0

0.003211

0

1

0.042902

false

0

0.001893

0

0.14448

0

null

1

0

1

0

null

0

10

bb9dee1e660a88e5b77ff492de4bb87e6c0e8084

1,267

py

Python

suitcase/nxsas/tests/test__build_bluesky_document_path.py

jklynch/suitcase-sas

914572806f47f7a3a373755e772eafc45a9c3dd4

[ "BSD-3-Clause" ]

1

2021-07-30T11:03:26.000Z

suitcase/nxsas/tests/test__build_bluesky_document_path.py

jklynch/suitcase-sas

914572806f47f7a3a373755e772eafc45a9c3dd4

[ "BSD-3-Clause" ]

2

2020-07-02T18:22:06.000Z

2020-12-02T16:38:52.000Z

suitcase/nxsas/tests/test__build_bluesky_document_path.py

jklynch/suitcase-sas

914572806f47f7a3a373755e772eafc45a9c3dd4

[ "BSD-3-Clause" ]

3

2020-06-07T13:54:13.000Z

2020-08-10T13:36:28.000Z

from suitcase.nxsas.utils import _parse_bluesky_document_path def test__build_bluesky_document_path(): parsed_path = _parse_bluesky_document_path("#bluesky/start@abc") assert parsed_path["doc"] == "start" assert parsed_path["attribute"] == "abc" parsed_path = _parse_bluesky_document_path("#bluesky/start/abc") assert parsed_path["doc"] == "start" assert parsed_path["keys"] == ("abc",) parsed_path = _parse_bluesky_document_path("#bluesky/start/abc/def") assert parsed_path["doc"] == "start" assert parsed_path["keys"] == ("abc", "def") parsed_path = _parse_bluesky_document_path("#bluesky/start/abc/def@ghi") assert parsed_path["doc"] == "start" assert parsed_path["keys"] == ("abc", "def") assert parsed_path["attribute"] == "ghi" parsed_path = _parse_bluesky_document_path("#bluesky/desc/primary/abc/def@ghi") assert parsed_path["doc"] == "desc" assert parsed_path["stream"] == "primary" assert parsed_path["keys"] == ("abc", "def") assert parsed_path["attribute"] == "ghi" parsed_path = _parse_bluesky_document_path("#bluesky/stop/abc/def@ghi") assert parsed_path["doc"] == "stop" assert parsed_path["keys"] == ("abc", "def") assert parsed_path["attribute"] == "ghi"

39.59375

83

0.685083

161

1,267

5.049689

0.149068

0.270603

0.314883

0.206642

0.822878

0.750308

0

0.147593

1,267

31

84

40.870968

0.752778

0

0.458333

0

0.233623

0.083662

0

0.666667

1

0.041667

false

0

0.041667

0

0.083333

0

null

1

0

null

0

1

0

10

bba092f23ad87dce6867534769fc80cb6bf2015e

1,233

py

Python

scripts/test_similarity.py

MOOC-Learner-Project/edx-extension-code-similarity

71f59adcd799bb63f3e08ada8eae34ac736a6537

[ "MIT" ]

null

scripts/test_similarity.py

MOOC-Learner-Project/edx-extension-code-similarity

71f59adcd799bb63f3e08ada8eae34ac736a6537

[ "MIT" ]

null

scripts/test_similarity.py

MOOC-Learner-Project/edx-extension-code-similarity

71f59adcd799bb63f3e08ada8eae34ac736a6537

[ "MIT" ]

null

from compare_trajectories import get_similarity def test_samples(): print("1-1") print(get_similarity('for print if', '1-1', should_validate=False)) print(get_similarity('for print if if if for', '1-1', should_validate=False)) print(get_similarity('for print if if if if if', '1-1', should_validate=False)) print(get_similarity('for', '1-1', should_validate=False)) print(get_similarity('for print', '1-1', should_validate=False)) print(get_similarity('for print if if if', '1-1', should_validate=False)) print(get_similarity('a\na\np\na\nfor i in range(10):\n print(i)\nr=2', '1-1')) print("1-2") print(get_similarity('for print if', '1-2', should_validate=False)) print(get_similarity('for print', '1-2', should_validate=False)) print(get_similarity('for break continue if print', '1-2', should_validate=False)) print("1-3") print(get_similarity('for print if if else', '1-3', should_validate=False)) print(get_similarity('for', '1-3', should_validate=False)) print(get_similarity('for print', '1-3', should_validate=False)) print(get_similarity('for print for if else if', '1-3', should_validate=False)) if __name__ == "__main__": test_samples()

45.666667

86

0.690998

194

1,233

4.190722

0.170103

0.239852

0.309963

0.335793

0.808118

0.782288

0.640836

0.479705

0

0.035071

0.144363

1,233

26

87

47.423077

0.735545

0

0.047619

0.24412

0

1

0.047619

true

0

0.047619

0

0.095238

0.809524

0

null

1

0

null

0

1

0

1

0

8

bbb29607113b1bf49819699274dd67cefc202b9f

11,884

py

Python

housebot/comm/rotate_useragent.py

jbkopecky/housebot

750b46f0ce61535b47fc23e39a4cc0baaad0f51c

[ "MIT" ]

3

2016-09-22T12:25:18.000Z

2017-11-08T15:58:00.000Z

housebot/comm/rotate_useragent.py

jbkopecky/housebot

750b46f0ce61535b47fc23e39a4cc0baaad0f51c

[ "MIT" ]

null

housebot/comm/rotate_useragent.py

jbkopecky/housebot

750b46f0ce61535b47fc23e39a4cc0baaad0f51c

[ "MIT" ]

null

#!/usr/bin/python #-*-coding:utf-8-*- import random from scrapy.downloadermiddlewares.useragent import UserAgentMiddleware class RotateUserAgentMiddleware(UserAgentMiddleware): def __init__(self, user_agent=''): self.user_agent = user_agent def process_request(self, request, spider): ua = random.choice(self.user_agent_list) if ua: request.headers.setdefault('User-Agent', ua) #the default user_agent_list composes chrome,I E,firefox,Mozilla,opera,netscape #for more user agent strings,you can find it in http://www.useragentstring.com/pages/useragentstring.php user_agent_list = [\ "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",\ "Mozilla/5.0 (X11; CrOS i686 2268.111.0) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.57 Safari/536.11",\ "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6",\ "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6",\ "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1",\ "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5",\ "Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5",\ "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",\ "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_0) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",\ "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",\ "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",\ "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",\ "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",\ "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",\ "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",\ "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24",\ "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24" "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/601.7.7 (KHTML, like Gecko) Version/9.1.2 Safari/601.7.7",\ "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:48.0) Gecko/20100101 Firefox/48.0",\ "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:48.0) Gecko/20100101 Firefox/48.0",\ "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:48.0) Gecko/20100101 Firefox/48.0",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:48.0) Gecko/20100101 Firefox/48.0",\ "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/601.7.8 (KHTML, like Gecko) Version/9.1.3 Safari/601.7.8",\ "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0",\ "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:47.0) Gecko/20100101 Firefox/47.0",\ "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.10586",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/601.6.17 (KHTML, like Gecko) Version/9.1.1 Safari/601.6.17",\ "Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:47.0) Gecko/20100101 Firefox/47.0",\ "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/51.0.2704.79 Chrome/51.0.2704.79 Safari/537.36",\ "Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/601.7.7 (KHTML, like Gecko) Version/9.1.2 Safari/601.7.7",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (X11; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Windows NT 6.3; WOW64; rv:48.0) Gecko/20100101 Firefox/48.0",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12) AppleWebKit/602.1.50 (KHTML, like Gecko) Version/10.0 Safari/602.1.50",\ "Mozilla/5.0 (X11; Linux x86_64; rv:48.0) Gecko/20100101 Firefox/48.0",\ "Mozilla/5.0 (Windows NT 6.1; rv:48.0) Gecko/20100101 Firefox/48.0",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:48.0) Gecko/20100101 Firefox/48.0",\ "Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Windows NT 6.1; Trident/7.0; rv:11.0) like Gecko",\ "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:48.0) Gecko/20100101 Firefox/48.0",\ "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36",\ "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36",\ "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:47.0) Gecko/20100101 Firefox/47.0",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.89 Safari/537.36",\ "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36",\ "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36",\ "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.89 Safari/537.36",\ "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36",\ "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36",\ "Mozilla/5.0 (Windows NT 10.0; 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py

Python

web/frontend/hass_db/__init__.py

tcsvn/activity-assistant

eeb0ef72a046a8a781ff31b384edec8243dd22a7

[ "MIT" ]

45

2020-11-06T20:31:13.000Z

2022-03-24T06:14:18.000Z

web/frontend/hass_db/__init__.py

tcsvn/activity-assistant

eeb0ef72a046a8a781ff31b384edec8243dd22a7

[ "MIT" ]

10

2020-12-14T00:17:11.000Z

2022-02-06T19:39:01.000Z

web/frontend/hass_db/__init__.py

tcsvn/activity-assistant

eeb0ef72a046a8a781ff31b384edec8243dd22a7

[ "MIT" ]

3

2020-12-15T22:50:09.000Z

2022-03-13T21:12:28.000Z

from .hass_db import url_from_hass_config

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Python

pyaz/aks/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/aks/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/aks/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

1

2022-02-03T09:12:01.000Z

''' Manage Azure Kubernetes Services. ''' from .. pyaz_utils import _call_az from . import command, nodepool def browse(name, resource_group, disable_browser=None, listen_address=None, listen_port=None): ''' Show the dashboard for a Kubernetes cluster in a web browser. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - disable_browser -- None - listen_address -- None - listen_port -- None ''' return _call_az("az aks browse", locals()) def create(name, resource_group, aad_admin_group_object_ids=None, aad_client_app_id=None, aad_server_app_id=None, aad_server_app_secret=None, aad_tenant_id=None, aci_subnet_name=None, admin_username=None, aks_custom_headers=None, api_server_authorized_ip_ranges=None, appgw_id=None, appgw_name=None, appgw_subnet_cidr=None, appgw_subnet_id=None, appgw_watch_namespace=None, assign_identity=None, assign_kubelet_identity=None, attach_acr=None, auto_upgrade_channel=None, client_secret=None, cluster_autoscaler_profile=None, disable_local_accounts=None, disable_public_fqdn=None, disable_rbac=None, dns_name_prefix=None, dns_service_ip=None, docker_bridge_address=None, edge_zone=None, enable_aad=None, enable_addons=None, enable_ahub=None, enable_azure_rbac=None, enable_cluster_autoscaler=None, enable_encryption_at_host=None, enable_managed_identity=None, enable_node_public_ip=None, enable_private_cluster=None, enable_rbac=None, enable_secret_rotation=None, enable_sgxquotehelper=None, enable_ultra_ssd=None, fqdn_subdomain=None, generate_ssh_keys=None, kubernetes_version=None, load_balancer_idle_timeout=None, load_balancer_managed_outbound_ip_count=None, load_balancer_outbound_ip_prefixes=None, load_balancer_outbound_ips=None, load_balancer_outbound_ports=None, load_balancer_sku=None, location=None, max_count=None, max_pods=None, min_count=None, network_plugin=None, network_policy=None, no_ssh_key=None, no_wait=None, node_count=None, node_osdisk_diskencryptionset_id=None, node_osdisk_size=None, node_osdisk_type=None, node_public_ip_prefix_id=None, node_vm_size=None, nodepool_labels=None, nodepool_name=None, nodepool_tags=None, os_sku=None, outbound_type=None, pod_cidr=None, ppg=None, private_dns_zone=None, rotation_poll_interval=None, service_cidr=None, service_principal=None, skip_subnet_role_assignment=None, ssh_key_value=None, tags=None, uptime_sla=None, vm_set_type=None, vnet_subnet_id=None, windows_admin_password=None, windows_admin_username=None, workspace_resource_id=None, yes=None, zones=None): ''' Create a new managed Kubernetes cluster. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - aad_admin_group_object_ids -- None - aad_client_app_id -- None - aad_server_app_id -- None - aad_server_app_secret -- None - aad_tenant_id -- None - aci_subnet_name -- None - admin_username -- None - aks_custom_headers -- None - api_server_authorized_ip_ranges -- None - appgw_id -- None - appgw_name -- None - appgw_subnet_cidr -- None - appgw_subnet_id -- None - appgw_watch_namespace -- None - assign_identity -- None - assign_kubelet_identity -- None - attach_acr -- None - auto_upgrade_channel -- None - client_secret -- None - cluster_autoscaler_profile -- Space-separated list of key=value pairs for configuring cluster autoscaler. Pass an empty string to clear the profile. - disable_local_accounts -- None - disable_public_fqdn -- None - disable_rbac -- None - dns_name_prefix -- None - dns_service_ip -- None - docker_bridge_address -- None - edge_zone -- The name of edge zone. - enable_aad -- None - enable_addons -- None - enable_ahub -- None - enable_azure_rbac -- None - enable_cluster_autoscaler -- None - enable_encryption_at_host -- None - enable_managed_identity -- None - enable_node_public_ip -- None - enable_private_cluster -- None - enable_rbac -- None - enable_secret_rotation -- None - enable_sgxquotehelper -- None - enable_ultra_ssd -- None - fqdn_subdomain -- None - generate_ssh_keys -- None - kubernetes_version -- None - load_balancer_idle_timeout -- None - load_balancer_managed_outbound_ip_count -- None - load_balancer_outbound_ip_prefixes -- None - load_balancer_outbound_ips -- None - load_balancer_outbound_ports -- None - load_balancer_sku -- None - location -- Location. Values from: `az account list-locations`. You can configure the default location using `az configure --defaults location=<location>`. - max_count -- None - max_pods -- None - min_count -- None - network_plugin -- None - network_policy -- None - no_ssh_key -- None - no_wait -- Do not wait for the long-running operation to finish. - node_count -- None - node_osdisk_diskencryptionset_id -- None - node_osdisk_size -- None - node_osdisk_type -- None - node_public_ip_prefix_id -- None - node_vm_size -- None - nodepool_labels -- space-separated labels: key[=value] [key[=value] ...]. See https://aka.ms/node-labels for syntax of labels. - nodepool_name -- Node pool name, up to 12 alphanumeric characters - nodepool_tags -- space-separated tags: key[=value] [key[=value] ...]. Use "" to clear existing tags. - os_sku -- None - outbound_type -- None - pod_cidr -- None - ppg -- None - private_dns_zone -- None - rotation_poll_interval -- None - service_cidr -- None - service_principal -- None - skip_subnet_role_assignment -- None - ssh_key_value -- None - tags -- space-separated tags: key[=value] [key[=value] ...]. Use '' to clear existing tags. - uptime_sla -- None - vm_set_type -- None - vnet_subnet_id -- None - windows_admin_password -- None - windows_admin_username -- None - workspace_resource_id -- None - yes -- Do not prompt for confirmation. - zones -- Space-separated list of availability zones where agent nodes will be placed. ''' return _call_az("az aks create", locals()) def update(name, resource_group, aad_admin_group_object_ids=None, aad_tenant_id=None, aks_custom_headers=None, api_server_authorized_ip_ranges=None, assign_identity=None, attach_acr=None, auto_upgrade_channel=None, cluster_autoscaler_profile=None, detach_acr=None, disable_ahub=None, disable_azure_rbac=None, disable_cluster_autoscaler=None, disable_local_accounts=None, disable_public_fqdn=None, disable_secret_rotation=None, enable_aad=None, enable_ahub=None, enable_azure_rbac=None, enable_cluster_autoscaler=None, enable_local_accounts=None, enable_managed_identity=None, enable_public_fqdn=None, enable_secret_rotation=None, load_balancer_idle_timeout=None, load_balancer_managed_outbound_ip_count=None, load_balancer_outbound_ip_prefixes=None, load_balancer_outbound_ips=None, load_balancer_outbound_ports=None, max_count=None, min_count=None, no_uptime_sla=None, no_wait=None, nodepool_labels=None, rotation_poll_interval=None, tags=None, update_cluster_autoscaler=None, uptime_sla=None, windows_admin_password=None, yes=None): ''' Update a managed Kubernetes cluster. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - aad_admin_group_object_ids -- None - aad_tenant_id -- None - aks_custom_headers -- None - api_server_authorized_ip_ranges -- None - assign_identity -- None - attach_acr -- None - auto_upgrade_channel -- None - cluster_autoscaler_profile -- Space-separated list of key=value pairs for configuring cluster autoscaler. Pass an empty string to clear the profile. - detach_acr -- None - disable_ahub -- None - disable_azure_rbac -- None - disable_cluster_autoscaler -- None - disable_local_accounts -- None - disable_public_fqdn -- None - disable_secret_rotation -- None - enable_aad -- None - enable_ahub -- None - enable_azure_rbac -- None - enable_cluster_autoscaler -- None - enable_local_accounts -- None - enable_managed_identity -- None - enable_public_fqdn -- None - enable_secret_rotation -- None - load_balancer_idle_timeout -- None - load_balancer_managed_outbound_ip_count -- None - load_balancer_outbound_ip_prefixes -- None - load_balancer_outbound_ips -- None - load_balancer_outbound_ports -- None - max_count -- None - min_count -- None - no_uptime_sla -- None - no_wait -- Do not wait for the long-running operation to finish. - nodepool_labels -- space-separated labels: key[=value] [key[=value] ...]. See https://aka.ms/node-labels for syntax of labels. - rotation_poll_interval -- None - tags -- space-separated tags: key[=value] [key[=value] ...]. Use '' to clear existing tags. - update_cluster_autoscaler -- None - uptime_sla -- None - windows_admin_password -- None - yes -- Do not prompt for confirmation. ''' return _call_az("az aks update", locals()) def delete(name, resource_group, no_wait=None, yes=None): ''' Delete a managed Kubernetes cluster. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - no_wait -- Do not wait for the long-running operation to finish. - yes -- Do not prompt for confirmation. ''' return _call_az("az aks delete", locals()) def update_credentials(name, resource_group, aad_client_app_id=None, aad_server_app_id=None, aad_server_app_secret=None, aad_tenant_id=None, client_secret=None, no_wait=None, reset_aad=None, reset_service_principal=None, service_principal=None): ''' Update credentials for a managed Kubernetes cluster, like service principal. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - aad_client_app_id -- None - aad_server_app_id -- None - aad_server_app_secret -- None - aad_tenant_id -- None - client_secret -- None - no_wait -- Do not wait for the long-running operation to finish. - reset_aad -- None - reset_service_principal -- None - service_principal -- None ''' return _call_az("az aks update-credentials", locals()) def disable_addons(addons, name, resource_group, no_wait=None): ''' Disable Kubernetes addons. Required Parameters: - addons -- None - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - no_wait -- Do not wait for the long-running operation to finish. ''' return _call_az("az aks disable-addons", locals()) def enable_addons(addons, name, resource_group, appgw_id=None, appgw_name=None, appgw_subnet_cidr=None, appgw_subnet_id=None, appgw_watch_namespace=None, enable_secret_rotation=None, enable_sgxquotehelper=None, no_wait=None, rotation_poll_interval=None, subnet_name=None, workspace_resource_id=None): ''' Enable Kubernetes addons. Required Parameters: - addons -- None - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - appgw_id -- None - appgw_name -- None - appgw_subnet_cidr -- None - appgw_subnet_id -- None - appgw_watch_namespace -- None - enable_secret_rotation -- None - enable_sgxquotehelper -- None - no_wait -- Do not wait for the long-running operation to finish. - rotation_poll_interval -- None - subnet_name -- Name of an existing subnet to use with the virtual-node add-on. - workspace_resource_id -- None ''' return _call_az("az aks enable-addons", locals()) def get_credentials(name, resource_group, admin=None, context=None, file=None, overwrite_existing=None, public_fqdn=None): ''' Get access credentials for a managed Kubernetes cluster. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - admin -- None - context -- If specified, overwrite the default context name. - file -- None - overwrite_existing -- None - public_fqdn -- None ''' return _call_az("az aks get-credentials", locals()) def check_acr(acr, name, resource_group): ''' Validate an ACR is accessible from an AKS cluster. Required Parameters: - acr -- None - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` ''' return _call_az("az aks check-acr", locals()) def get_upgrades(name, resource_group): ''' Get the upgrade versions available for a managed Kubernetes cluster. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` ''' return _call_az("az aks get-upgrades", locals()) def install_cli(base_src_url=None, client_version=None, install_location=None, kubelogin_base_src_url=None, kubelogin_install_location=None, kubelogin_version=None): ''' Download and install kubectl, the Kubernetes command-line tool. Download and install kubelogin, a client-go credential (exec) plugin implementing azure authentication. Optional Parameters: - base_src_url -- Base download source URL for kubectl releases. - client_version -- Version of kubectl to install. - install_location -- Path at which to install kubectl. - kubelogin_base_src_url -- Base download source URL for kubelogin releases. - kubelogin_install_location -- Path at which to install kubelogin. - kubelogin_version -- Version of kubelogin to install. ''' return _call_az("az aks install-cli", locals()) def list(resource_group=None): ''' List managed Kubernetes clusters. Optional Parameters: - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` ''' return _call_az("az aks list", locals()) def remove_dev_spaces(name, resource_group, yes=None): ''' Remove Azure Dev Spaces from a managed Kubernetes cluster. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - yes -- Do not prompt for confirmation ''' return _call_az("az aks remove-dev-spaces", locals()) def scale(name, node_count, resource_group, no_wait=None, nodepool_name=None): ''' Scale the node pool in a managed Kubernetes cluster. Required Parameters: - name -- Name of the managed cluster. - node_count -- None - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - no_wait -- Do not wait for the long-running operation to finish. - nodepool_name -- Node pool name, up to 12 alphanumeric characters ''' return _call_az("az aks scale", locals()) def show(name, resource_group): ''' Show the details for a managed Kubernetes cluster. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` ''' return _call_az("az aks show", locals()) def upgrade(name, resource_group, control_plane_only=None, kubernetes_version=None, no_wait=None, node_image_only=None, yes=None): ''' Upgrade a managed Kubernetes cluster to a newer version. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - control_plane_only -- None - kubernetes_version -- None - no_wait -- Do not wait for the long-running operation to finish. - node_image_only -- None - yes -- Do not prompt for confirmation. ''' return _call_az("az aks upgrade", locals()) def use_dev_spaces(name, resource_group, endpoint=None, space=None, update=None, yes=None): ''' Use Azure Dev Spaces with a managed Kubernetes cluster. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - endpoint -- The endpoint type to be used for a Azure Dev Spaces controller. See https://aka.ms/azds-networking for more information. - space -- Name of the new or existing dev space to select. Defaults to an interactive selection experience. - update -- Update to the latest Azure Dev Spaces client components. - yes -- Do not prompt for confirmation. Requires --space. ''' return _call_az("az aks use-dev-spaces", locals()) def rotate_certs(name, resource_group, no_wait=None, yes=None): ''' Rotate certificates and keys on a managed Kubernetes cluster Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - no_wait -- Do not wait for the long-running operation to finish. - yes -- Do not prompt for confirmation. ''' return _call_az("az aks rotate-certs", locals()) def wait(name, resource_group, created=None, custom=None, deleted=None, exists=None, interval=None, timeout=None, updated=None): ''' Wait for a managed Kubernetes cluster to reach a desired state. Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - created -- wait until created with 'provisioningState' at 'Succeeded' - custom -- Wait until the condition satisfies a custom JMESPath query. E.g. provisioningState!='InProgress', instanceView.statuses[?code=='PowerState/running'] - deleted -- wait until deleted - exists -- wait until the resource exists - interval -- polling interval in seconds - timeout -- maximum wait in seconds - updated -- wait until updated with provisioningState at 'Succeeded' ''' return _call_az("az aks wait", locals()) def stop(name, resource_group, no_wait=None): ''' Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - no_wait -- Do not wait for the long-running operation to finish. ''' return _call_az("az aks stop", locals()) def start(name, resource_group, no_wait=None): ''' Required Parameters: - name -- Name of the managed cluster. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - no_wait -- Do not wait for the long-running operation to finish. ''' return _call_az("az aks start", locals()) def get_versions(location): ''' Get the versions available for creating a managed Kubernetes cluster. Required Parameters: - location -- Location. Values from: `az account list-locations`. You can configure the default location using `az configure --defaults location=<location>`. ''' return _call_az("az aks get-versions", locals())

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212

py

Python

cleanflow/__init__.py

vutsalsinghal/CleanFlow

4cfbe345ca3e59a254baf5aa9f6eae329b918527

[ "MIT" ]

1

2018-09-02T19:56:28.000Z

cleanflow/__init__.py

vutsalsinghal/CleanFlow

4cfbe345ca3e59a254baf5aa9f6eae329b918527

[ "MIT" ]

null

cleanflow/__init__.py

vutsalsinghal/CleanFlow

4cfbe345ca3e59a254baf5aa9f6eae329b918527

[ "MIT" ]

1

2018-05-03T20:13:18.000Z

from .assertions import assert_type_str,assert_cols_in_df, assert_type_str_or_list, assert_type_int_or_float __all__ = ['assert_type_str_or_list','assert_type_int_or_float','assert_type_str','assert_cols_in_df']

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1

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null

0

1

0

1

0

9

a59041d2d410a8ed7f31ac54cc4446f8da617f82

28,416

py

Python

models/drocc.py

jbr-ai-labs/PU-OC

4030a67353594d864a2a9482dd3f5d206cbd28ae

[ "MIT" ]

null

models/drocc.py

jbr-ai-labs/PU-OC

4030a67353594d864a2a9482dd3f5d206cbd28ae

[ "MIT" ]

null

models/drocc.py

jbr-ai-labs/PU-OC

4030a67353594d864a2a9482dd3f5d206cbd28ae

[ "MIT" ]

null

import torch import torch.nn.functional as F import torch.utils.data import torch.utils.data from models.base_models import OCModel, PUModelRandomBatch from models.classifiers import Net device = torch.device("cuda" if torch.cuda.is_available() else "cpu") # code DROCC is borrowed from https://github.com/microsoft/EdgeML class DROCC(OCModel): def __init__(self, model=Net, lam=0.5, radius=8, gamma=2, warmup_epochs=6, ascent_step_size=0.001, ascent_num_steps=50, half=True): super().__init__(model, 0) self.lam = lam self.radius = radius self.gamma = gamma self.warmup_epochs = warmup_epochs self.ascent_step_size = ascent_step_size self.ascent_num_steps = ascent_num_steps self.half = half def batch_loss(self, batch): data, target = batch[0], batch[2] data, target = data.to(device), target.to(device) # Data Processing data = data.to(torch.float) target = target.to(torch.float) target = torch.squeeze(target) # Extract the logits for cross entropy loss logits_start = self.model.forward_start(data) logits = self.model.forward_end(logits_start) logits = torch.squeeze(logits, dim=1) ce_loss = F.binary_cross_entropy_with_logits(logits, target) # Add to the epoch variable for printing average CE Loss ''' Adversarial Loss is calculated only for the positive data points (label==1). ''' if self.epoch >= self.warmup_epochs: logits_start = logits_start[target == 1] # AdvLoss if not self.half: adv_loss = self.one_class_adv_loss(data[target == 1].detach(), self.half) else: adv_loss = self.one_class_adv_loss(logits_start.detach(), self.half) loss = ce_loss + adv_loss * self.lam else: # If only CE based training has to be done loss = ce_loss return loss def one_class_adv_loss(self, x_train_data, half=True): """Computes the adversarial loss: 1) Sample points initially at random around the positive training data points 2) Gradient ascent to find the most optimal point in set N_i(r) classified as +ve (label=0). This is done by maximizing the CE loss wrt label 0 3) Project the points between spheres of radius R and gamma * R (set N_i(r)) 4) Pass the calculated adversarial points through the model, and calculate the CE loss wrt target class 0 Parameters ---------- x_train_data: Batch of data to compute loss on. """ batch_size = len(x_train_data) # Randomly sample points around the training data # We will perform SGD on these to find the adversarial points x_adv = torch.randn(x_train_data.shape).to(device).detach().requires_grad_() x_adv_sampled = x_adv + x_train_data for step in range(self.ascent_num_steps): with torch.enable_grad(): new_targets = torch.zeros(batch_size, 1).to(device) # new_targets = (1 - targets).to(self.device) new_targets = torch.squeeze(new_targets) new_targets = new_targets.to(torch.float) if half: logits = self.model.forward_end(x_adv_sampled) else: logits = self.model(x_adv_sampled) logits = torch.squeeze(logits, dim=1) new_loss = F.binary_cross_entropy_with_logits(logits, new_targets) grad = torch.autograd.grad(new_loss, [x_adv_sampled])[0] grad_norm = torch.norm(grad, p=2, dim=tuple(range(1, grad.dim()))) grad_norm = grad_norm.view(-1, *[1] * (grad.dim() - 1)) grad_normalized = grad / grad_norm with torch.no_grad(): x_adv_sampled.add_(self.ascent_step_size * grad_normalized) if (step + 1) % 10 == 0: # Project the normal points to the set N_i(r) h = x_adv_sampled - x_train_data norm_h = torch.sqrt(torch.sum(h ** 2, dim=tuple(range(1, h.dim())))) alpha = torch.clamp(norm_h, self.radius, self.gamma * self.radius).to(device) # Make use of broadcast to project h proj = (alpha / norm_h).view(-1, *[1] * (h.dim() - 1)) h = proj * h x_adv_sampled = x_train_data + h # These adv_points are now on the surface of hyper-sphere if half: adv_pred = self.model.forward_end(x_adv_sampled) else: adv_pred = self.model(x_adv_sampled) adv_pred = torch.squeeze(adv_pred, dim=1) adv_loss = F.binary_cross_entropy_with_logits(adv_pred, new_targets) return adv_loss # class DROCC(nn.Module): # def __init__(self, ): # super().__init__() # # self.model = CIFAR10_LeNet() # # def run_train(self, # train_data, # test_data, # lamda=0.5, # radius=8, # gamma=2, # verbose=False, # learning_rate=1e-3, # total_epochs=30, # only_ce_epochs=6, # ascent_step_size=0.001, # ascent_num_steps=50, # gamma_lr=1, # batch_size=128, # half=True): # # self.best_score = -np.inf # best_model = None # self.ascent_num_steps = ascent_num_steps # self.ascent_step_size = ascent_step_size # self.lamda = lamda # self.radius = radius # self.gamma = gamma # # self.optimizer = optim.Adam(self.model.parameters(), lr=learning_rate) # lr_scheduler = optim.lr_scheduler.ExponentialLR(self.optimizer, gamma=gamma_lr) # # train_loader = torch.utils.data.DataLoader(train_data, # batch_size=batch_size, # shuffle=True) # # test_loader = torch.utils.data.DataLoader(test_data, # batch_size=batch_size, # shuffle=True) # # for epoch in range(total_epochs): # # Make the weights trainable # self.model.train() # # # Placeholder for the respective 2 loss values # epoch_adv_loss = torch.tensor([0]).type(torch.float32).to(device) # AdvLoss # epoch_ce_loss = 0 # Cross entropy Loss # # batch_idx = -1 # for data, target, _ in train_loader: # batch_idx += 1 # data, target = data.to(device), target.to(device) # # Data Processing # data = data.to(torch.float) # target = target.to(torch.float) # target = torch.squeeze(target) # # self.optimizer.zero_grad() # # # Extract the logits for cross entropy loss # logits_start = self.model.half_forward_start(data) # logits = self.model.half_forward_end(logits_start) # # logits = torch.squeeze(logits, dim=1) # ce_loss = F.binary_cross_entropy_with_logits(logits, target) # # Add to the epoch variable for printing average CE Loss # epoch_ce_loss += ce_loss # # ''' # Adversarial Loss is calculated only for the positive data points (label==1). # ''' # if epoch >= only_ce_epochs: # logits_start = logits_start[target == 1] # # AdvLoss # if not half: # adv_loss = self.one_class_adv_loss(data[target == 1].detach(), target[target == 1], half) # else: # adv_loss = self.one_class_adv_loss(logits_start.detach(), target[target == 1], half) # epoch_adv_loss += adv_loss # # loss = ce_loss + adv_loss * self.lamda # else: # # If only CE based training has to be done # loss = ce_loss # # # Backprop # loss.backward() # self.optimizer.step() # # epoch_ce_loss = epoch_ce_loss / (batch_idx + 1) # Average CE Loss # epoch_adv_loss = epoch_adv_loss / (batch_idx + 1) # Average AdvLoss # # if verbose: # test_score = self.test(test_loader) # if test_score > self.best_score: # self.best_score = test_score # best_model = copy.deepcopy(self.model) # # print('Epoch: {}, CE Loss: {}, AdvLoss: {}, {}: {}'.format( # epoch, epoch_ce_loss.item(), epoch_adv_loss.item(), # 'AUC', test_score)) # lr_scheduler.step() # if verbose: # self.model = copy.deepcopy(best_model) # print('\nBest test {}: {}'.format( # 'AUC', self.best_score # )) # # def test(self, test_loader, metric='AUC'): # """Evaluate the model on the given test dataset. # Parameters # ---------- # test_loader: Dataloader object for the test dataset. # metric: Metric used for evaluation (AUC / F1). # """ # self.model.eval() # label_score = [] # batch_idx = -1 # for data, target, _ in test_loader: # batch_idx += 1 # data, target = data.to(device), target.to(device) # data = data.to(torch.float) # target = target.to(torch.float) # target = torch.squeeze(target) # # logits = self.model(data) # logits = torch.squeeze(logits, dim=1) # sigmoid_logits = torch.sigmoid(logits) # scores = logits # label_score += list(zip(target.cpu().data.numpy().tolist(), # scores.cpu().data.numpy().tolist())) # # Compute test score # labels, scores = zip(*label_score) # labels = np.array(labels) # scores = np.array(scores) # if metric == 'AUC': # test_metric = roc_auc_score(labels, scores) # if metric == 'alpha': # test_metric = (scores > 0.5).mean() # return test_metric # # def one_class_adv_loss(self, x_train_data, targets, half=True): # """Computes the adversarial loss: # 1) Sample points initially at random around the positive training # data points # 2) Gradient ascent to find the most optimal point in set N_i(r) # classified as +ve (label=0). This is done by maximizing # the CE loss wrt label 0 # 3) Project the points between spheres of radius R and gamma * R # (set N_i(r)) # 4) Pass the calculated adversarial points through the model, # and calculate the CE loss wrt target class 0 # # Parameters # ---------- # x_train_data: Batch of data to compute loss on. # """ # batch_size = len(x_train_data) # # Randomly sample points around the training data # # We will perform SGD on these to find the adversarial points # x_adv = torch.randn(x_train_data.shape).to(device).detach().requires_grad_() # x_adv_sampled = x_adv + x_train_data # # for step in range(self.ascent_num_steps): # with torch.enable_grad(): # # new_targets = torch.zeros(batch_size, 1).to(device) # # new_targets = (1 - targets).to(self.device) # new_targets = torch.squeeze(new_targets) # new_targets = new_targets.to(torch.float) # # if half: # logits = self.model.half_forward_end(x_adv_sampled) # else: # logits = self.model(x_adv_sampled) # # logits = torch.squeeze(logits, dim=1) # new_loss = F.binary_cross_entropy_with_logits(logits, new_targets) # # grad = torch.autograd.grad(new_loss, [x_adv_sampled])[0] # grad_norm = torch.norm(grad, p=2, dim=tuple(range(1, grad.dim()))) # grad_norm = grad_norm.view(-1, *[1] * (grad.dim() - 1)) # grad_normalized = grad / grad_norm # with torch.no_grad(): # x_adv_sampled.add_(self.ascent_step_size * grad_normalized) # # if (step + 1) % 10 == 0: # # Project the normal points to the set N_i(r) # h = x_adv_sampled - x_train_data # norm_h = torch.sqrt(torch.sum(h ** 2, # dim=tuple(range(1, h.dim())))) # alpha = torch.clamp(norm_h, self.radius, # self.gamma * self.radius).to(device) # # Make use of broadcast to project h # proj = (alpha / norm_h).view(-1, *[1] * (h.dim() - 1)) # h = proj * h # x_adv_sampled = x_train_data + h # These adv_points are now on the surface of hyper-sphere # # if half: # adv_pred = self.model.half_forward_end(x_adv_sampled) # else: # adv_pred = self.model(x_adv_sampled) # # adv_pred = torch.squeeze(adv_pred, dim=1) # adv_loss = F.binary_cross_entropy_with_logits(adv_pred, (new_targets)) # # return adv_loss # # def save(self, path): # torch.save(self.model.state_dict(), os.path.join(path, 'model.pt')) # # def load(self, path): # self.model.load_state_dict(torch.load(os.path.join(path, 'model.pt'))) class PU_DROCC(PUModelRandomBatch): def __init__(self, model=Net, lam=0.5, radius=8, gamma=2, warmup_epochs=6, ascent_step_size=0.001, ascent_num_steps=50, half=True): super().__init__(model, 0) self.lam = lam self.radius = radius self.gamma = gamma self.warmup_epochs = warmup_epochs self.ascent_step_size = ascent_step_size self.ascent_num_steps = ascent_num_steps self.half = half def batch_loss(self, batch): data, target = batch[0], batch[2] data, target = data.to(device), target.to(device) lab_ind = target == 1 unl_ind = target == 0 # lab_cnt = max(lab_ind.sum(), 1) unl_cnt = max(unl_ind.sum(), 1) # Extract the logits for cross entropy loss logits_start = self.model.forward_start(data) logits = self.model.forward_end(logits_start[lab_ind]) logits = torch.squeeze(logits, dim=1) ce_loss = F.binary_cross_entropy_with_logits(logits, target[lab_ind]) # Add to the epoch variable for printing average CE Loss ''' Adversarial Loss is calculated only for the positive data points (label==1). ''' if self.epoch >= self.warmup_epochs and unl_cnt > 1: logits_start = logits_start[unl_ind] # AdvLoss if not self.half: adv_loss = self.one_class_adv_loss(data[unl_ind].detach(), self.half) else: adv_loss = self.one_class_adv_loss(logits_start[unl_ind].detach(), self.half) loss = ce_loss + adv_loss * self.lam else: # If only CE based training has to be done loss = ce_loss return loss def one_class_adv_loss(self, x_train_data, half=True): """Computes the adversarial loss: 1) Sample points initially at random around the positive training data points 2) Gradient ascent to find the most optimal point in set N_i(r) classified as +ve (label=0). This is done by maximizing the CE loss wrt label 0 3) Project the points between spheres of radius R and gamma * R (set N_i(r)) 4) Pass the calculated adversarial points through the model, and calculate the CE loss wrt target class 0 Parameters ---------- x_train_data: Batch of data to compute loss on. """ batch_size = len(x_train_data) # Randomly sample points around the training data # We will perform SGD on these to find the adversarial points x_adv = torch.randn(x_train_data.shape).to(device).detach().requires_grad_() x_adv_sampled = x_adv + x_train_data for step in range(self.ascent_num_steps): with torch.enable_grad(): new_targets = torch.zeros(batch_size, 1).to(device) # new_targets = (1 - targets).to(self.device) new_targets = torch.squeeze(new_targets) new_targets = new_targets.to(torch.float) if half: logits = self.model.forward_end(x_adv_sampled) else: logits = self.model(x_adv_sampled) logits = torch.squeeze(logits, dim=1) new_loss = F.binary_cross_entropy_with_logits(logits, new_targets) grad = torch.autograd.grad(new_loss, [x_adv_sampled])[0] grad_norm = torch.norm(grad, p=2, dim=tuple(range(1, grad.dim()))) grad_norm = grad_norm.view(-1, *[1] * (grad.dim() - 1)) grad_normalized = grad / grad_norm with torch.no_grad(): x_adv_sampled.add_(self.ascent_step_size * grad_normalized) if (step + 1) % 10 == 0: # Project the normal points to the set N_i(r) h = x_adv_sampled - x_train_data norm_h = torch.sqrt(torch.sum(h ** 2, dim=tuple(range(1, h.dim())))) alpha = torch.clamp(norm_h, self.radius, self.gamma * self.radius).to(device) # Make use of broadcast to project h proj = (alpha / norm_h).view(-1, *[1] * (h.dim() - 1)) h = proj * h x_adv_sampled = x_train_data + h # These adv_points are now on the surface of hyper-sphere if half: adv_pred = self.model.forward_end(x_adv_sampled) else: adv_pred = self.model(x_adv_sampled) adv_pred = torch.squeeze(adv_pred, dim=1) adv_loss = F.binary_cross_entropy_with_logits(adv_pred, new_targets) return adv_loss # class PU_DROCC(nn.Module): # def __init__(self, ): # super().__init__() # # self.model = CIFAR10_LeNet() # # def run_train(self, # train_data, # test_data, # lamda=0.5, # radius=1, # gamma=2, # verbose=False, # learning_rate=5e-4, # total_epochs=20, # only_ce_epochs=2, # ascent_step_size=5e-6, # ascent_num_steps=10, # gamma_lr=0.96, # batch_size=512, # half=True): # # self.best_score = -np.inf # best_model = None # self.ascent_num_steps = ascent_num_steps # self.ascent_step_size = ascent_step_size # self.lamda = lamda # self.radius = radius # self.gamma = gamma # # self.optimizer = optim.Adam(self.model.parameters(), lr=learning_rate) # lr_scheduler = optim.lr_scheduler.ExponentialLR(self.optimizer, gamma=gamma_lr) # # train_loader = torch.utils.data.DataLoader(train_data, # batch_size=batch_size, # shuffle=True) # # test_loader = torch.utils.data.DataLoader(test_data, # batch_size=batch_size, # shuffle=True) # # for epoch in range(total_epochs): # # Make the weights trainable # self.model.train() # # # Placeholder for the respective 2 loss values # epoch_adv_loss = torch.tensor([0]).type(torch.float32).to(device) # AdvLoss # epoch_ce_loss = 0 # Cross entropy Loss # # batch_idx = -1 # for data, _, target in train_loader: # batch_idx += 1 # data, target = data.to(device), target.to(device) # # Data Processing # data = data.to(torch.float) # target = target.to(torch.float) # target = torch.squeeze(target) # # self.optimizer.zero_grad() # # lab_ind = target == 1 # unl_ind = target == 0 # # # lab_cnt = max(lab_ind.sum(), 1) # unl_cnt = max(unl_ind.sum(), 1) # # # Extract the logits for cross entropy loss # logits_start = self.model.half_forward_start(data) # logits = self.model.half_forward_end(logits_start[lab_ind]) # # logits = torch.squeeze(logits, dim=1) # ce_loss = F.binary_cross_entropy_with_logits(logits, target[lab_ind]) # # Add to the epoch variable for printing average CE Loss # epoch_ce_loss += ce_loss # # ''' # Adversarial Loss is calculated only for the positive data points (label==1). # ''' # if epoch >= only_ce_epochs and unl_cnt > 1: # logits_start = logits_start[unl_ind] # # AdvLoss # if not half: # adv_loss = self.one_class_adv_loss(data[unl_ind].detach(), target[unl_ind], half) # else: # adv_loss = self.one_class_adv_loss(logits_start.detach(), target[unl_ind], half) # epoch_adv_loss += adv_loss # # loss = ce_loss + adv_loss * self.lamda # else: # # If only CE based training has to be done # loss = ce_loss # # # Backprop # loss.backward() # self.optimizer.step() # # epoch_ce_loss = epoch_ce_loss / (batch_idx + 1) # Average CE Loss # epoch_adv_loss = epoch_adv_loss / (batch_idx + 1) # Average AdvLoss # # if verbose: # test_score = self.test(test_loader) # if test_score > self.best_score: # self.best_score = test_score # best_model = copy.deepcopy(self.model) # # print('Epoch: {}, CE Loss: {}, AdvLoss: {}, {}: {}'.format( # epoch, epoch_ce_loss.item(), epoch_adv_loss.item(), # 'AUC', test_score)) # lr_scheduler.step() # if verbose: # self.model = copy.deepcopy(best_model) # print('\nBest test {}: {}'.format( # 'AUC', self.best_score # )) # # def test(self, test_loader, metric='AUC'): # """Evaluate the model on the given test dataset. # Parameters # ---------- # test_loader: Dataloader object for the test dataset. # metric: Metric used for evaluation (AUC / F1). # """ # self.model.eval() # label_score = [] # batch_idx = -1 # for data, target, _ in test_loader: # batch_idx += 1 # data, target = data.to(device), target.to(device) # data = data.to(torch.float) # target = target.to(torch.float) # target = torch.squeeze(target) # # logits = self.model(data) # logits = torch.squeeze(logits, dim=1) # sigmoid_logits = torch.sigmoid(logits) # scores = logits # label_score += list(zip(target.cpu().data.numpy().tolist(), # scores.cpu().data.numpy().tolist())) # # Compute test score # labels, scores = zip(*label_score) # labels = np.array(labels) # scores = np.array(scores) # if metric == 'AUC': # test_metric = roc_auc_score(labels, scores) # if metric == 'alpha': # test_metric = (scores > 0.5).mean() # return test_metric # # def one_class_adv_loss(self, x_train_data, targets, half=True): # """Computes the adversarial loss: # 1) Sample points initially at random around the positive training # data points # 2) Gradient ascent to find the most optimal point in set N_i(r) # classified as +ve (label=0). This is done by maximizing # the CE loss wrt label 0 # 3) Project the points between spheres of radius R and gamma * R # (set N_i(r)) # 4) Pass the calculated adversarial points through the model, # and calculate the CE loss wrt target class 0 # # Parameters # ---------- # x_train_data: Batch of data to compute loss on. # """ # batch_size = len(x_train_data) # # Randomly sample points around the training data # # We will perform SGD on these to find the adversarial points # x_adv = torch.randn(x_train_data.shape).to(device).detach().requires_grad_() # x_adv_sampled = x_adv + x_train_data # # for step in range(self.ascent_num_steps): # with torch.enable_grad(): # # new_targets = torch.zeros(batch_size, 1).to(device) # # new_targets = (1 - targets).to(self.device) # new_targets = torch.squeeze(new_targets) # new_targets = new_targets.to(torch.float) # # if half: # logits = self.model.half_forward_end(x_adv_sampled) # else: # logits = self.model(x_adv_sampled) # # logits = torch.squeeze(logits, dim=1) # new_loss = F.binary_cross_entropy_with_logits(logits, new_targets) # # grad = torch.autograd.grad(new_loss, [x_adv_sampled])[0] # grad_norm = torch.norm(grad, p=2, dim=tuple(range(1, grad.dim()))) # grad_norm = grad_norm.view(-1, *[1] * (grad.dim() - 1)) # grad_normalized = grad / grad_norm # with torch.no_grad(): # x_adv_sampled.add_(self.ascent_step_size * grad_normalized) # # if (step + 1) % 10 == 0: # # Project the normal points to the set N_i(r) # h = x_adv_sampled - x_train_data # norm_h = torch.sqrt(torch.sum(h ** 2, # dim=tuple(range(1, h.dim())))) # alpha = torch.clamp(norm_h, self.radius, # self.gamma * self.radius).to(device) # # Make use of broadcast to project h # proj = (alpha / norm_h).view(-1, *[1] * (h.dim() - 1)) # h = proj * h # x_adv_sampled = x_train_data + h # These adv_points are now on the surface of hyper-sphere # # if half: # adv_pred = self.model.half_forward_end(x_adv_sampled) # else: # adv_pred = self.model(x_adv_sampled) # # adv_pred = torch.squeeze(adv_pred, dim=1) # adv_loss = F.binary_cross_entropy_with_logits(adv_pred, (new_targets)) # # return adv_loss # # def save(self, path): # torch.save(self.model.state_dict(), os.path.join(path, 'model.pt')) # # def load(self, path): # self.model.load_state_dict(torch.load(os.path.join(path, 'model.pt')))

41.004329

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0.531637

3,394

28,416

4.232764

0.076606

0.027565

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0.966588

0.962342

0

0.012642

0.365322

28,416

692

116

41.063584

0.78392

0.687289

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7

a599a53d2dbe8f55d0ae2285bfa16d2cd2d65c31

2,322

py

Python

src/bgapi/gatt_server/rsp.py

GetAmbush/python-bgapi

985e5849275eb5e7cf794c30ef87e16ffa91fa63

[ "MIT" ]

5

2018-05-11T14:59:50.000Z

2021-04-29T07:51:43.000Z

src/bgapi/gatt_server/rsp.py

GetAmbush/python-bgapi

985e5849275eb5e7cf794c30ef87e16ffa91fa63

[ "MIT" ]

null

src/bgapi/gatt_server/rsp.py

GetAmbush/python-bgapi

985e5849275eb5e7cf794c30ef87e16ffa91fa63

[ "MIT" ]

2

2018-10-05T16:51:08.000Z

2020-08-10T18:24:16.000Z

from struct import (unpack_from, calcsize, error) def find_attribute(data: bytes, offset: int = 0): FORMAT = '<HH' result, sent_len = unpack_from(FORMAT, data, offset=offset) offset += calcsize(FORMAT) payload = { 'result': result, 'sent_len': sent_len, } return payload, offset def read_attribute_type(data: bytes, offset: int = 0): FORMAT = '<HB' result, n = unpack_from(FORMAT, data, offset=offset) offset += calcsize(FORMAT) _type = data[offset:offset + n] offset += n if len(_type) < n: raise error payload = { 'result': result, 'type': _type, } return payload, offset def read_attribute_value(data: bytes, offset: int = 0): FORMAT = '<HB' result, n = unpack_from(FORMAT, data, offset=offset) offset += calcsize(FORMAT) value = data[offset:offset + n] offset += n if len(value) < n: raise error payload = { 'result': result, 'value': value, } return payload, offset def send_characteristic_notification(data: bytes, offset: int = 0): FORMAT = '<HH' result, sent_len = unpack_from(FORMAT, data, offset=offset) offset += calcsize(FORMAT) payload = { 'result': result, 'sent_len': sent_len, } return payload, offset def send_user_read_response(data: bytes, offset: int = 0): FORMAT = '<HH' result, sent_len = unpack_from(FORMAT, data, offset=offset) offset += calcsize(FORMAT) payload = { 'result': result, 'sent_len': sent_len, } return payload, offset def send_user_write_response(data: bytes, offset: int = 0): FORMAT = '<H' result, = unpack_from(FORMAT, data, offset=offset) offset += calcsize(FORMAT) payload = { 'result': result, } return payload, offset def set_capabilities(data: bytes, offset: int = 0): FORMAT = '<H' result, = unpack_from(FORMAT, data, offset=offset) offset += calcsize(FORMAT) payload = { 'result': result, } return payload, offset def write_attribute_value(data: bytes, offset: int = 0): FORMAT = '<H' result, = unpack_from(FORMAT, data, offset=offset) offset += calcsize(FORMAT) payload = { 'result': result, } return payload, offset

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0.11611

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0.800435

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null

0

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3c055540f4bac239471bd40673cc11cba8364b6a

1,042

py

Python

python/testData/inspections/PyDictDuplicateKeysInspection/test.py

teddywest32/intellij-community

e0268d7a1da1d318b441001448cdd3e8929b2f29

[ "Apache-2.0" ]

2

2018-12-29T09:53:39.000Z

2018-12-29T09:53:42.000Z

python/testData/inspections/PyDictDuplicateKeysInspection/test.py

teddywest32/intellij-community

e0268d7a1da1d318b441001448cdd3e8929b2f29

[ "Apache-2.0" ]

11

2017-02-27T22:35:32.000Z

2021-12-24T08:07:40.000Z

python/testData/inspections/PyDictDuplicateKeysInspection/test.py

teddywest32/intellij-community

e0268d7a1da1d318b441001448cdd3e8929b2f29

[ "Apache-2.0" ]

1

2020-11-27T10:36:50.000Z

dict = {<warning descr="Dictionary contains duplicate keys key_1">key_1</warning> : 1, key_2: 2, <warning descr="Dictionary contains duplicate keys key_1">key_1</warning> : 3} dict = {'key_1' : 1, <warning descr="Dictionary contains duplicate keys 'key_2'">'key_2'</warning>: 2, <warning descr="Dictionary contains duplicate keys 'key_2'">'key_2'</warning> : 3} a = {} {'key_1' : 1, 'key_2': 2} import random def foo(): return random.random() {foo(): 1, foo():2} # PY-2511 dict = dict([(<warning descr="Dictionary contains duplicate keys key">'key'</warning>, 666), (<warning descr="Dictionary contains duplicate keys key">'key'</warning>, 123)]) dict = dict(((<warning descr="Dictionary contains duplicate keys key">'key'</warning>, 666), (<warning descr="Dictionary contains duplicate keys key">'key'</warning>, 123))) dict = dict(((<warning descr="Dictionary contains duplicate keys key">'key'</warning>, 666), ('k', 123)), <warning descr="Dictionary contains duplicate keys key">key</warning>=4) dict([('key', 666), ('ky', 123)])

57.888889

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149

1,042

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0.161074

0.169014

0.309859

0.422535

0.86338

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0

0.055315

0.115163

1,042

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null

0

1

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null

0

1

0

9

3c1b6c9e6b47fb95aa16ef2acb4b7d713d883c56

565

py

Python

eval_covid20cases_timm-regnetx_002_CoarseDropout.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

eval_covid20cases_timm-regnetx_002_CoarseDropout.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

eval_covid20cases_timm-regnetx_002_CoarseDropout.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

import os ls=["python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_0_CoarseDropout.yml", "python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_1_CoarseDropout.yml", "python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_2_CoarseDropout.yml", "python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_3_CoarseDropout.yml", "python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_4_CoarseDropout.yml", ] for l in ls: os.system(l)

51.363636

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0.210177

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565

11

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1

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false

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0.111111

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0

null

0

1

0

1

null

0

9

3c56748dc2e31bf612f4bf75fa49cb321ba58ffd

24,804

py

Python

training.py

zhangsiyu1103/ESNAC

ecec9860d1fb9f82a61c61dc2bcd1b17d58352dd

[ "MIT" ]

null

training.py

zhangsiyu1103/ESNAC

ecec9860d1fb9f82a61c61dc2bcd1b17d58352dd

[ "MIT" ]

null

training.py

zhangsiyu1103/ESNAC

ecec9860d1fb9f82a61c61dc2bcd1b17d58352dd

[ "MIT" ]

null

import torch import torch.nn as nn import torch.optim as optim import torch.nn.functional as F import torch.backends.cudnn as cudnn import options as opt import os import time import sys import numpy as np def init_model(model): for module in model.modules(): if isinstance(module, nn.Conv2d): nn.init.kaiming_normal_(module.weight, mode='fan_out', nonlinearity='relu') if module.bias is not None: nn.init.constant_(module.bias, 0) elif isinstance(module, nn.BatchNorm2d): nn.init.constant_(module.weight, 1) nn.init.constant_(module.bias, 0) elif isinstance(module, nn.Linear): nn.init.normal_(module.weight, 0, 0.01) nn.init.constant_(module.bias, 0) return model def test_model(model, dataset): model.eval() correct = 0 total = 0 loader = None if hasattr(dataset, 'test_loader'): loader = dataset.test_loader elif hasattr(dataset, 'val_loader'): loader = dataset.val_loader else: raise NotImplementedError('Unknown dataset!') train_loader = dataset.train_loader train_correct = 0 train_total = 0 best_train_acc = 0 #print(len(loader)) with torch.no_grad(): for batch_idx, (inputs, targets) in enumerate(train_loader): inputs = inputs.to(opt.device) targets = targets.to(opt.device) outputs = model(inputs) _, predicted = outputs.max(1) train_total += targets.size(0) train_correct += predicted.eq(targets).sum().item() train_acc = 100.0 * train_correct / train_total #print("train acc:", train_acc) #if train_acc > best_train_acc: # best_train_acc = train_acc # model_best = model.module # torch.save(model_best, 'temp_save/temp.pth') #if train_acc == 100: # torch.save(model.mudule, 'temp_save/base.pth') with torch.no_grad(): for batch_idx, (inputs, targets) in enumerate(loader): inputs = inputs.to(opt.device) targets = targets.to(opt.device) outputs = model(inputs) _, predicted = outputs.max(1) total += targets.size(0) correct += predicted.eq(targets).sum().item() acc = 100.0 * correct / total return acc def test_model_regression(model, dataset): model.eval() loader = None loss_total = 0 batch_cnt = 0 criterion = nn.MSELoss() if hasattr(dataset, 'test_loader'): loader = dataset.test_loader elif hasattr(dataset, 'val_loader'): loader = dataset.val_loader else: raise NotImplementedError('Unknown dataset!') #loader = dataset.train_loader #print(len(loader)) train_loader = dataset.train_loader train_loss_total = 0 train_batch_cnt = 0 #print(len(loader)) with torch.no_grad(): for batch_idx, (inputs, targets) in enumerate(train_loader): inputs = inputs.to(opt.device) targets = targets.to(opt.device) outputs = model(inputs) train_loss = criterion(outputs,targets) train_loss_total+=train_loss.item() train_batch_cnt += 1 train_loss_avg = train_loss_total / train_batch_cnt print("train loss:", train_loss_avg) with torch.no_grad(): for batch_idx, (inputs, targets) in enumerate(loader): inputs = inputs.to(opt.device) targets = targets.to(opt.device) outputs = model(inputs) loss = criterion(outputs,targets) loss_total+=loss.item() batch_cnt += 1 #_, predicted = outputs.max(1) #total += targets.size(0) #correct += predicted.eq(targets).sum().item() #acc = 100.0 * correct / total return loss_total/batch_cnt def test_model_image(model, dataset): model.eval() correct = 0 total = 0 loader = None if hasattr(dataset, 'test_loader'): loader = dataset.test_loader elif hasattr(dataset, 'val_loader'): loader = dataset.val_loader else: raise NotImplementedError('Unknown dataset!') miss = set() with torch.no_grad(): for batch_idx, (inputs, targets) in enumerate(loader): inputs = inputs.to(opt.device) targets = targets.to(opt.device) outputs = model(inputs) _, predicted = outputs.max(1) total += targets.size(0) equal_v = predicted.eq(targets) correct += equal_v.sum().item() j = 0 #print(equal_v for i in equal_v: if not i: miss.add(inputs[j]) #print(inputs[j]) j+=1 acc = 100.0 * correct / total return acc, miss def test_model_latency(model, dataset): model.eval() loader = None if hasattr(dataset, 'test_loader'): loader = dataset.test_loader elif hasattr(dataset, 'val_loader'): loader = dataset.val_loader else: raise NotImplementedError('Unknown dataset!') latency = [] with torch.no_grad(): for batch_idx, (inputs, targets) in enumerate(loader): inputs = inputs.to(opt.device) targets = targets.to(opt.device) start_time = time.time() outputs = model(inputs) torch.cuda.synchronize() time_taken = time.time() - start_time latency.append(time_taken * 1000) lat = np.mean(latency) return lat def train_model_teacher(model_, dataset, save_path, epochs=60, lr=0.005, momentum=0.9, weight_decay=5e-4): acc_best = 0 model_best = None model = torch.nn.DataParallel(model_.to(opt.device)) criterion = nn.CrossEntropyLoss() optimizer = optim.Adam(model.parameters(), lr=lr, weight_decay=weight_decay) scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=100, gamma=0.1) for i in range(1, epochs + 1): print('epochs ', i) model.train() loss_total = 0 batch_cnt = 0 for batch_idx, (inputs, targets) in enumerate(dataset.train_loader): inputs = inputs.to(opt.device) targets = targets.to(opt.device) optimizer.zero_grad() outputs = model(inputs) loss = criterion(outputs, targets) loss.backward() optimizer.step() loss_total += loss.item() batch_cnt += 1 scheduler.step() opt.writer.add_scalar('training/loss', loss_total / batch_cnt, i) acc = test_model(model, dataset) opt.writer.add_scalar('training/acc', acc, i) print("loss: ", loss_total/batch_cnt) print("test acc: ", acc) if acc > acc_best: acc_best = acc model.module.acc = acc model_best = model.module torch.save(model_best, save_path) return model_best, acc_best def train_model_student(model_, dataset, save_path, idx, optimization=opt.tr_fu_optimization, epochs=opt.tr_fu_epochs, lr=opt.tr_fu_lr, momentum=opt.tr_fu_momentum, weight_decay=opt.tr_fu_weight_decay, lr_schedule=opt.tr_fu_lr_schedule, from_scratch=opt.tr_fu_from_scratch): acc_best = 0 best_train_acc = 0 model_best = None model = torch.nn.DataParallel(model_.to(opt.device)) criterion = nn.CrossEntropyLoss() if optimization == 'SGD': optimizer = optim.SGD(model.parameters(), lr=lr, momentum=momentum, weight_decay=weight_decay) elif optimization == 'Adam': optimizer = optim.Adam(model.parameters(), lr=lr, weight_decay=weight_decay) if lr_schedule == 'step': scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=20, gamma=0.2) elif lr_schedule == 'linear': batch_cnt = len(dataset.train_loader) n_total_exp = epochs * batch_cnt lr_lambda = lambda n_exp_seen: 1 - n_exp_seen/n_total_exp scheduler = optim.lr_scheduler.LambdaLR(optimizer, lr_lambda=lr_lambda) if from_scratch: init_model(model) for i in range(1, epochs + 1): print('epoch',i) model.train() #if lr_schedule == 'step': # scheduler.step() loss_total = 0 batch_cnt = 0 correct = 0 total = 0 for batch_idx, (inputs, targets) in enumerate(dataset.train_loader): inputs = inputs.to(opt.device) targets = targets.to(opt.device) optimizer.zero_grad() outputs = model(inputs) _, predicted = outputs.max(1) total += targets.size(0) correct += predicted.eq(targets).sum().item() loss = criterion(outputs, targets) loss.backward() optimizer.step() #if lr_schedule == 'linear': loss_total += loss.item() batch_cnt += 1 scheduler.step() opt.writer.add_scalar('training_%d/loss' % (idx), loss_total / batch_cnt, i) acc = test_model(model, dataset) opt.writer.add_scalar('training_%d/acc' % (idx), acc, i) print('loss: ', loss_total/batch_cnt) print('acc: ',acc) if acc > acc_best: acc_best = acc model.module.acc = acc model_best = model.module torch.save(model_best, save_path) return model_best, acc_best def train_model_student_regression(model_, dataset, save_path, idx, optimization=opt.tr_fu_optimization, epochs=opt.tr_fu_epochs, lr=opt.tr_fu_lr, momentum=opt.tr_fu_momentum, weight_decay=opt.tr_fu_weight_decay, lr_schedule=opt.tr_fu_lr_schedule, from_scratch=opt.tr_fu_from_scratch): loss_best = sys.maxsize model_best = None model = torch.nn.DataParallel(model_.to(opt.device)) criterion = nn.MSELoss() if optimization == 'SGD': optimizer = optim.SGD(model.parameters(), lr=lr, momentum=momentum, weight_decay=weight_decay) elif optimization == 'Adam': optimizer = optim.Adam(model.parameters(), lr=lr, weight_decay=weight_decay) if lr_schedule == 'step': scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=10, gamma=0.4) elif lr_schedule == 'linear': batch_cnt = len(dataset.train_loader) n_total_exp = epochs * batch_cnt lr_lambda = lambda n_exp_seen: 1 - n_exp_seen/n_total_exp scheduler = optim.lr_scheduler.LambdaLR(optimizer, lr_lambda=lr_lambda) if from_scratch: init_model(model) for i in range(1, epochs + 1): print('epoch',i) model.train() #if lr_schedule == 'step': # scheduler.step() loss_total = 0 batch_cnt = 0 correct = 0 total = 0 for batch_idx, (inputs, targets) in enumerate(dataset.train_loader): inputs = inputs.to(opt.device) targets = targets.to(opt.device) optimizer.zero_grad() outputs = model(inputs) #i_, predicted = outputs.max(1) #total += targets.size(0) #correct += predicted.eq(targets).sum().item() loss = criterion(outputs, targets) loss.backward() optimizer.step() #if lr_schedule == 'linear': loss_total += loss.item() batch_cnt += 1 #print("train acc: ", 100*correct/total) scheduler.step() opt.writer.add_scalar('training_%d/loss' % (idx), loss_total/batch_cnt , i) test_loss = test_model_regression(model, dataset) #opt.writer.add_scalar('training_%d/acc' % (idx), acc, i) print('train loss: ', loss_total/batch_cnt) print('test loss: ',test_loss) if test_loss < loss_best: loss_best = test_loss model.module.loss = test_loss model_best = model.module torch.save(model_best, save_path) return model_best, loss_best def train_model_student_kd(teacher_, model_, dataset, save_path, idx, optimization=opt.tr_fu_optimization, epochs=opt.tr_fu_epochs, lr=opt.tr_fu_lr, momentum=opt.tr_fu_momentum, weight_decay=opt.tr_fu_weight_decay, lr_schedule=opt.tr_fu_lr_schedule, from_scratch=opt.tr_fu_from_scratch): acc_best = 0 model_best = None model = torch.nn.DataParallel(model_.to(opt.device)) teacher = torch.nn.DataParallel(teacher_.to(opt.device)) criterion1 = nn.CrossEntropyLoss() criterion2 = nn.MSELoss() if optimization == 'SGD': optimizer = optim.SGD(model.parameters(), lr=lr, momentum=momentum, weight_decay=weight_decay) elif optimization == 'Adam': optimizer = optim.Adam(model.parameters(), lr=lr, weight_decay=weight_decay) if lr_schedule == 'step': scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=100, gamma=0.1) elif lr_schedule == 'linear': batch_cnt = len(dataset.train_loader) n_total_exp = epochs * batch_cnt lr_lambda = lambda n_exp_seen: 1 - n_exp_seen/n_total_exp scheduler = optim.lr_scheduler.LambdaLR(optimizer, lr_lambda=lr_lambda) if from_scratch: init_model(model) for i in range(1, epochs + 1): model.train() #if lr_schedule == 'step': # scheduler.step() loss_total = 0 batch_cnt = 0 for batch_idx, (inputs, targets) in enumerate(dataset.train_loader): teacher_outputs = None with torch.no_grad(): teacher_outputs = teacher(inputs) inputs = inputs.to(opt.device) targets = targets.to(opt.device) optimizer.zero_grad() outputs = model(inputs) loss1 = criterion1(outputs, targets) loss2 = criterion2(outputs, teacher_outputs) loss = loss1 + loss2 loss.backward() optimizer.step() #if lr_schedule == 'linear': scheduler.step() loss_total += loss.item() batch_cnt += 1 opt.writer.add_scalar('training_%d/loss' % (idx), loss_total / batch_cnt, i) acc = test_model(model, dataset) opt.writer.add_scalar('training_%d/acc' % (idx), acc, i) #print('loss: ', loss_total/batch_cnt) #print('acc: ',acc) if acc > acc_best: acc_best = acc model.module.acc = acc model_best = model.module torch.save(model_best, save_path) return model_best, acc_best def train_model_student_kd_reg(teacher_, model_, dataset, save_path, idx, optimization=opt.tr_fu_optimization, epochs=opt.tr_fu_epochs, lr=opt.tr_fu_lr, momentum=opt.tr_fu_momentum, weight_decay=opt.tr_fu_weight_decay, lr_schedule=opt.tr_fu_lr_schedule, from_scratch=opt.tr_fu_from_scratch): loss_best = sys.maxsize model_best = None model = torch.nn.DataParallel(model_.to(opt.device)) teacher = torch.nn.DataParallel(teacher_.to(opt.device)) criterion = nn.MSELoss() if optimization == 'SGD': optimizer = optim.SGD(model.parameters(), lr=lr, momentum=momentum, weight_decay=weight_decay) elif optimization == 'Adam': optimizer = optim.Adam(model.parameters(), lr=lr, weight_decay=weight_decay) if lr_schedule == 'step': scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=100, gamma=0.1) elif lr_schedule == 'linear': batch_cnt = len(dataset.train_loader) n_total_exp = epochs * batch_cnt lr_lambda = lambda n_exp_seen: 1 - n_exp_seen/n_total_exp scheduler = optim.lr_scheduler.LambdaLR(optimizer, lr_lambda=lr_lambda) if from_scratch: init_model(model) for i in range(1, epochs + 1): model.train() #if lr_schedule == 'step': # scheduler.step() loss_total = 0 #batch_cnt = 0 for batch_idx, (inputs, targets) in enumerate(dataset.train_loader): teacher_outputs = None with torch.no_grad(): teacher_outputs = teacher(inputs) inputs = inputs.to(opt.device) targets = targets.to(opt.device) optimizer.zero_grad() outputs = model(inputs) loss1 = criterion(outputs, targets) loss2 = criterion(outputs, teacher_outputs) loss = loss1 + loss2 loss.backward() optimizer.step() #if lr_schedule == 'linear': scheduler.step() loss_total += loss.item() #batch_cnt += 1 opt.writer.add_scalar('training_%d/loss' % (idx), loss_total, i) test_loss = test_model_regression(model, dataset) #opt.writer.add_scalar('training_%d/acc' % (idx), acc, i) #print('loss: ', loss_total/batch_cnt) #print('acc: ',acc) if test_loss > loss_best: loss_best = test_loss model.module.loss = test_loss model_best = model.module torch.save(model_best, save_path) return model_best, loss_best def train_model_search(teacher_, students_, dataset, optimization=opt.tr_se_optimization, epochs=opt.tr_se_epochs, lr=opt.tr_se_lr, momentum=opt.tr_se_momentum, weight_decay=opt.tr_se_weight_decay, lr_schedule=opt.tr_se_lr_schedule, loss_criterion=opt.tr_se_loss_criterion): n = len(students_) accs_best = [0.0] * n students_best = [None] * n teacher = torch.nn.DataParallel(teacher_.to(opt.device)) students = [None] * n for j in range(n): students[j] = torch.nn.DataParallel(students_[j].to(opt.device)) if loss_criterion == 'KD': criterion = nn.MSELoss() elif loss_criterion == 'CE': criterion = nn.CrossEntropyLoss() if optimization == 'SGD': optimizers = [optim.SGD(students[j].parameters(), lr=lr, momentum=momentum, weight_decay=weight_decay) for j in range(n)] elif optimization == 'Adam': optimizers = [optim.Adam(students[j].parameters(), lr=lr, weight_decay=weight_decay) for j in range(n)] if lr_schedule == 'linear': batch_cnt = len(dataset.train_loader) n_total_exp = epochs * batch_cnt lr_lambda = lambda n_exp_seen: 1 - n_exp_seen/n_total_exp schedulers = [optim.lr_scheduler.LambdaLR(optimizers[j], lr_lambda=lr_lambda) for j in range(n)] for i in range(1, epochs + 1): print("epochs:",i) teacher.eval() for j in range(n): students[j].train() loss_total = [0.0] * n batch_cnt = 0 for batch_idx, (inputs, targets) in enumerate(dataset.train_loader): inputs = inputs.to(opt.device) if loss_criterion == 'KD': teacher_outputs = None with torch.no_grad(): teacher_outputs = teacher(inputs) elif loss_criterion == 'CE': targets = targets.to(opt.device) for j in range(n): if lr_schedule == 'linear': schedulers[j].step() optimizers[j].zero_grad() #print(students[j]) student_outputs = students[j](inputs) if loss_criterion == 'KD': loss = criterion(student_outputs, teacher_outputs) elif loss_criterion == 'CE': loss = criterion(student_outputs, targets) loss.backward() optimizers[j].step() loss_total[j] += loss.item() batch_cnt += 1 for j in range(n): opt.writer.add_scalar('step_%d/sample_%d_loss' % (opt.i, j), loss_total[j] / batch_cnt, i) acc = test_model(students[j], dataset) #print("acc"+str(j)+": ", acc) opt.writer.add_scalar('step_%d/sample_%d_acc' % (opt.i, j), acc, i) if acc > accs_best[j]: accs_best[j] = acc students_best[j] = students[j].module return students_best, accs_best def train_model_search_reg(teacher_, students_, dataset, optimization=opt.tr_se_optimization, epochs=opt.tr_se_epochs, lr=opt.tr_se_lr, momentum=opt.tr_se_momentum, weight_decay=opt.tr_se_weight_decay, lr_schedule=opt.tr_se_lr_schedule, loss_criterion=opt.tr_se_loss_criterion): n = len(students_) loss_best = [sys.maxsize] * n students_best = [None] * n teacher = torch.nn.DataParallel(teacher_.to(opt.device)) students = [None] * n for j in range(n): students[j] = torch.nn.DataParallel(students_[j].to(opt.device)) if loss_criterion == 'KD' or loss_criterion == 'l2': criterion = nn.MSELoss() elif loss_criterion == 'CE': criterion = nn.CrossEntropyLoss() if optimization == 'SGD': optimizers = [optim.SGD(students[j].parameters(), lr=lr, momentum=momentum, weight_decay=weight_decay) for j in range(n)] elif optimization == 'Adam': optimizers = [optim.Adam(students[j].parameters(), lr=lr, weight_decay=weight_decay) for j in range(n)] if lr_schedule == 'linear': batch_cnt = len(dataset.train_loader) n_total_exp = epochs * batch_cnt lr_lambda = lambda n_exp_seen: 1 - n_exp_seen/n_total_exp schedulers = [optim.lr_scheduler.LambdaLR(optimizers[j], lr_lambda=lr_lambda) for j in range(n)] for i in range(1, epochs + 1): print("epochs:",i) teacher.eval() for j in range(n): students[j].train() loss_total = [0.0] * n batch_cnt = 0 for batch_idx, (inputs, targets) in enumerate(dataset.train_loader): inputs = inputs.to(opt.device) targets = targets.to(opt.device) if loss_criterion == 'KD': teacher_outputs = None with torch.no_grad(): teacher_outputs = teacher(inputs) elif loss_criterion == 'CE': targets = targets.to(opt.device) for j in range(n): if lr_schedule == 'linear': schedulers[j].step() optimizers[j].zero_grad() #print(students[j]) student_outputs = students[j](inputs) if loss_criterion == 'KD': loss1 = criterion(student_outputs, teacher_outputs) loss2 = criterion(student_outputs, targets) loss = loss1+loss2 elif loss_criterion == 'CE': loss = criterion(student_outputs, targets) loss.backward() optimizers[j].step() loss_total[j] += loss.item() batch_cnt += 1 for j in range(n): opt.writer.add_scalar('step_%d/sample_%d_loss' % (opt.i, j), loss_total[j], i) test_loss = test_model_regression(students[j], dataset) #print("loss"+str(j)+": ", test_loss) #opt.writer.add_scalar('step_%d/sample_%d_acc' % (opt.i, j), acc, i) if test_loss < loss_best[j]: loss_best[j] = test_loss students_best[j] = students[j].module return students_best, loss_best

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