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a9634eff694683ca10b052f3f32422acc823323b | 554,772 | py | Python | gui_rc.py | johndemlon/demlon-browser | 588fd2115ef13db19c48d4a98aa31db0661a28bf | [
"WTFPL"
] | 2 | 2015-11-25T03:23:06.000Z | 2016-10-28T02:25:30.000Z | gui_rc.py | johndemlon/demlon-browser | 588fd2115ef13db19c48d4a98aa31db0661a28bf | [
"WTFPL"
] | null | null | null | gui_rc.py | johndemlon/demlon-browser | 588fd2115ef13db19c48d4a98aa31db0661a28bf | [
"WTFPL"
] | null | null | null | # -*- coding: utf-8 -*-
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#
# WARNING! All changes made in this file will be lost!
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qt_resource_struct = b"\
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def qInitResources():
QtCore.qRegisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data)
def qCleanupResources():
QtCore.qUnregisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data)
qInitResources()
| 65.159972 | 129 | 0.727057 | 134,389 | 554,772 | 3.001235 | 0.002195 | 0.029945 | 0.036372 | 0.048347 | 0.788155 | 0.754483 | 0.722321 | 0.691721 | 0.657908 | 0.626155 | 0 | 0.390622 | 0.015437 | 554,772 | 8,513 | 130 | 65.167626 | 0.347802 | 0.000272 | 0 | 0.057889 | 0 | 0.984704 | 0 | 0 | 0 | 1 | 0.000014 | 0 | 0 | 1 | 0.000235 | false | 0 | 0.000118 | 0 | 0.000353 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a97381ec069de95b17d19b45bfa0d9aab7703047 | 202 | py | Python | task_manager_api/api/admin.py | LsbProxy/task_manager_api | b014d74aa3cd5bc9952ac04548350d3a08836c8f | [
"MIT"
] | null | null | null | task_manager_api/api/admin.py | LsbProxy/task_manager_api | b014d74aa3cd5bc9952ac04548350d3a08836c8f | [
"MIT"
] | null | null | null | task_manager_api/api/admin.py | LsbProxy/task_manager_api | b014d74aa3cd5bc9952ac04548350d3a08836c8f | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Dashboard, Sprint, Task, Comment
admin.site.register(Task)
admin.site.register(Comment)
admin.site.register(Dashboard)
admin.site.register(Sprint)
| 22.444444 | 52 | 0.811881 | 28 | 202 | 5.857143 | 0.428571 | 0.219512 | 0.414634 | 0.292683 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084158 | 202 | 8 | 53 | 25.25 | 0.886486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
8d1ca5c21561c86f045864524ee959accc95a68c | 2,576 | py | Python | envi/tests/msp430/irla.py | rnui2k/vivisect | b7b00f2d03defef28b4b8c912e3a8016e956c5f7 | [
"ECL-2.0",
"Apache-2.0"
] | 716 | 2015-01-01T14:41:11.000Z | 2022-03-28T06:51:50.000Z | envi/tests/msp430/irla.py | rnui2k/vivisect | b7b00f2d03defef28b4b8c912e3a8016e956c5f7 | [
"ECL-2.0",
"Apache-2.0"
] | 266 | 2015-01-01T15:07:27.000Z | 2022-03-30T15:19:26.000Z | envi/tests/msp430/irla.py | rnui2k/vivisect | b7b00f2d03defef28b4b8c912e3a8016e956c5f7 | [
"ECL-2.0",
"Apache-2.0"
] | 159 | 2015-01-01T16:19:44.000Z | 2022-03-21T21:55:34.000Z | from envi.archs.msp430.regs import *
checks = [
# RLA
(
'RLA r15 (destination negative + overflow)',
{ 'regs': [(REG_R15, 0x5555)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "0f5f", 'data': "" },
{ 'regs': [(REG_R15, 0xaaaa)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 0), (SR_V, 1)], 'code': "0f5f", 'data': "" }
),
(
'RLA r15 (destination carry + zero + overflow)',
{ 'regs': [(REG_R15, 0x8000)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "0f5f", 'data': "" },
{ 'regs': [(REG_R15, 0x0)], 'flags': [(SR_N, 0), (SR_Z, 1), (SR_C, 1), (SR_V, 1)], 'code': "0f5f", 'data': "" }
),
(
'RLA r15 (destination negative + overflow)',
{ 'regs': [(REG_R15, 0x4000)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "0f5f", 'data': "" },
{ 'regs': [(REG_R15, 0x8000)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 0), (SR_V, 1)], 'code': "0f5f", 'data': "" }
),
(
'RLA r15 (destination negative + carry)',
{ 'regs': [(REG_R15, 0xc000)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "0f5f", 'data': "" },
{ 'regs': [(REG_R15, 0x8000)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 1), (SR_V, 0)], 'code': "0f5f", 'data': "" }
),
# RLA.b
(
'RLA.b r15 (destination negative + overflow)',
{ 'regs': [(REG_R15, 0x1155)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "4f5f", 'data': "" },
{ 'regs': [(REG_R15, 0xaa)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 0), (SR_V, 1)], 'code': "4f5f", 'data': "" }
),
(
'RLA.b r15 (destination carry + zero + overflow)',
{ 'regs': [(REG_R15, 0x1180)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "4f5f", 'data': "" },
{ 'regs': [(REG_R15, 0x0)], 'flags': [(SR_N, 0), (SR_Z, 1), (SR_C, 1), (SR_V, 1)], 'code': "4f5f", 'data': "" }
),
(
'RLA.b r15 (destination negative + overflow)',
{ 'regs': [(REG_R15, 0x1140)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "4f5f", 'data': "" },
{ 'regs': [(REG_R15, 0x80)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 0), (SR_V, 1)], 'code': "4f5f", 'data': "" }
),
(
'RLA.b r15 (destination negative + carry)',
{ 'regs': [(REG_R15, 0x11c0)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "4f5f", 'data': "" },
{ 'regs': [(REG_R15, 0x80)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 1), (SR_V, 0)], 'code': "4f5f", 'data': "" }
),
]
| 53.666667 | 123 | 0.449534 | 376 | 2,576 | 2.867021 | 0.106383 | 0.100186 | 0.148423 | 0.077922 | 0.912801 | 0.912801 | 0.897959 | 0.864564 | 0.757885 | 0.700371 | 0 | 0.106591 | 0.246118 | 2,576 | 47 | 124 | 54.808511 | 0.448507 | 0.003494 | 0 | 0.27907 | 0 | 0 | 0.262871 | 0 | 0 | 0 | 0.032761 | 0 | 0 | 1 | 0 | false | 0 | 0.023256 | 0 | 0.023256 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8d70342086153c61bf480b82ea46b116b701a40c | 6,028 | py | Python | test/programytest/storage/stores/nosql/mongo/dao/test_processor.py | cdoebler1/AIML2 | ee692ec5ea3794cd1bc4cc8ec2a6b5e5c20a0d6a | [
"MIT"
] | 345 | 2016-11-23T22:37:04.000Z | 2022-03-30T20:44:44.000Z | test/programytest/storage/stores/nosql/mongo/dao/test_processor.py | MikeyBeez/program-y | 00d7a0c7d50062f18f0ab6f4a041068e119ef7f0 | [
"MIT"
] | 275 | 2016-12-07T10:30:28.000Z | 2022-02-08T21:28:33.000Z | test/programytest/storage/stores/nosql/mongo/dao/test_processor.py | VProgramMist/modified-program-y | f32efcafafd773683b3fe30054d5485fe9002b7d | [
"MIT"
] | 159 | 2016-11-28T18:59:30.000Z | 2022-03-20T18:02:44.000Z | import unittest
from programy.storage.stores.nosql.mongo.dao.processor import PostProcessor
from programy.storage.stores.nosql.mongo.dao.processor import PostQuestionProcessor
from programy.storage.stores.nosql.mongo.dao.processor import PreProcessor
class PreProcessorTests(unittest.TestCase):
def test_init_no_id(self):
processor = PreProcessor(classname="test.processorclass")
self.assertIsNotNone(processor)
self.assertIsNone(processor.id)
self.assertEqual("test.processorclass", processor.classname)
self.assertEqual({'classname': 'test.processorclass'}, processor.to_document())
def test_init_with_id(self):
processor = PreProcessor(classname="test.processorclass")
processor.id = '666'
self.assertIsNotNone(processor)
self.assertIsNotNone(processor.id)
self.assertEqual('666', processor.id)
self.assertEqual("test.processorclass", processor.classname)
self.assertEqual({'_id': '666', 'classname': 'test.processorclass'}, processor.to_document())
def test_from_document_no_id(self):
processor1 = PreProcessor.from_document({'classname': 'test.processorclass'})
self.assertIsNotNone(processor1)
self.assertIsNone(processor1.id)
self.assertEqual("test.processorclass", processor1.classname)
def test_from_document_with_id(self):
processor2 = PreProcessor.from_document({'_id': '666', 'classname': 'test.processorclass'})
self.assertIsNotNone(processor2)
self.assertIsNotNone(processor2.id)
self.assertEqual('666', processor2.id)
self.assertEqual("test.processorclass", processor2.classname)
def test_repr_no_id(self):
processor1 = PreProcessor.from_document({'classname': 'test.processorclass'})
self.assertEquals("<PreProcessor(id='n/a', classname='test.processorclass')>", str(processor1))
def test_repr_with_id(self):
processor2 = PreProcessor.from_document({'_id': '666', 'classname': 'test.processorclass'})
self.assertEquals("<PreProcessor(id='666', classname='test.processorclass')>", str(processor2))
class PostProcessorTests(unittest.TestCase):
def test_init_no_id(self):
processor = PostProcessor(classname="test.processorclass")
self.assertIsNotNone(processor)
self.assertIsNone(processor.id)
self.assertEqual("test.processorclass", processor.classname)
self.assertEqual({'classname': 'test.processorclass'}, processor.to_document())
def test_init_with_id(self):
processor = PostProcessor(classname="test.processorclass")
processor.id = '666'
self.assertIsNotNone(processor)
self.assertIsNotNone(processor.id)
self.assertEqual('666', processor.id)
self.assertEqual("test.processorclass", processor.classname)
self.assertEqual({'_id': '666', 'classname': 'test.processorclass'}, processor.to_document())
def test_from_document_no_id(self):
processor1 = PostProcessor.from_document({'classname': 'test.processorclass'})
self.assertIsNotNone(processor1)
self.assertIsNone(processor1.id)
self.assertEqual("test.processorclass", processor1.classname)
def test_from_document_with_id(self):
processor2 = PostProcessor.from_document({'_id': '666', 'classname': 'test.processorclass'})
self.assertIsNotNone(processor2)
self.assertIsNotNone(processor2.id)
self.assertEqual('666', processor2.id)
self.assertEqual("test.processorclass", processor2.classname)
def test_repr_no_id(self):
processor1 = PostProcessor.from_document({'classname': 'test.processorclass'})
self.assertEquals("<PostProcessor(id='n/a', classname='test.processorclass')>", str(processor1))
def test_repr_with_id(self):
processor2 = PostProcessor.from_document({'_id': '666', 'classname': 'test.processorclass'})
self.assertEquals("<PostProcessor(id='666', classname='test.processorclass')>", str(processor2))
class PostQuestionProcessorTests(unittest.TestCase):
def test_init_no_id(self):
processor = PostQuestionProcessor(classname="test.processorclass")
self.assertIsNotNone(processor)
self.assertIsNone(processor.id)
self.assertEqual("test.processorclass", processor.classname)
self.assertEqual({'classname': 'test.processorclass'}, processor.to_document())
def test_init_with_id(self):
processor = PostQuestionProcessor(classname="test.processorclass")
processor.id = '666'
self.assertIsNotNone(processor)
self.assertIsNotNone(processor.id)
self.assertEqual('666', processor.id)
self.assertEqual("test.processorclass", processor.classname)
self.assertEqual({'_id': '666', 'classname': 'test.processorclass'}, processor.to_document())
def test_from_document_no_id(self):
processor1 = PostQuestionProcessor.from_document({'classname': 'test.processorclass'})
self.assertIsNotNone(processor1)
self.assertIsNone(processor1.id)
self.assertEqual("test.processorclass", processor1.classname)
def test_from_document_with_id(self):
processor2 = PostQuestionProcessor.from_document({'_id': '666', 'classname': 'test.processorclass'})
self.assertIsNotNone(processor2)
self.assertIsNotNone(processor2.id)
self.assertEqual('666', processor2.id)
self.assertEqual("test.processorclass", processor2.classname)
def test_repr_no_id(self):
processor1 = PostQuestionProcessor.from_document({'classname': 'test.processorclass'})
self.assertEqual("<PostQuestionProcessor(id='n/a', classname='test.processorclass')>", str(processor1))
def test_repr_with_id(self):
processor2 = PostQuestionProcessor.from_document({'_id': '666', 'classname': 'test.processorclass'})
self.assertEqual("<PostQuestionProcessor(id='666', classname='test.processorclass')>", str(processor2))
| 45.666667 | 111 | 0.714831 | 596 | 6,028 | 7.083893 | 0.067114 | 0.179062 | 0.191852 | 0.110137 | 0.970156 | 0.970156 | 0.970156 | 0.905021 | 0.881336 | 0.806727 | 0 | 0.020079 | 0.157266 | 6,028 | 131 | 112 | 46.015267 | 0.811024 | 0 | 0 | 0.87 | 0 | 0 | 0.213835 | 0.059058 | 0 | 0 | 0 | 0 | 0.54 | 1 | 0.18 | false | 0 | 0.04 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
a5d39b413b09229922f5d706253be702b9743bb4 | 156 | py | Python | 01-Python/07-django/mysite/TestModel/views.py | Jerrywx/Python_Down | 361d6bb8a5f7768c7064e97c40e4f485ece14a27 | [
"Apache-2.0"
] | null | null | null | 01-Python/07-django/mysite/TestModel/views.py | Jerrywx/Python_Down | 361d6bb8a5f7768c7064e97c40e4f485ece14a27 | [
"Apache-2.0"
] | null | null | null | 01-Python/07-django/mysite/TestModel/views.py | Jerrywx/Python_Down | 361d6bb8a5f7768c7064e97c40e4f485ece14a27 | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render
# Create your views here.
from django.http import HttpResponse
def test():
return HttpResponse("This is a Test") | 17.333333 | 41 | 0.75641 | 22 | 156 | 5.363636 | 0.772727 | 0.169492 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173077 | 156 | 9 | 41 | 17.333333 | 0.914729 | 0.147436 | 0 | 0 | 0 | 0 | 0.106061 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.5 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
a5e1947f355431336f1c0bca69ed9b39af947d23 | 134 | py | Python | jivago/wsgi/routing/exception/unknown_path_exception.py | keotl/jivago | 892dfb0cae773e36245083c3e56f0f8523145523 | [
"MIT"
] | 12 | 2018-03-19T20:57:44.000Z | 2020-01-27T14:11:24.000Z | jivago/wsgi/routing/exception/unknown_path_exception.py | keotl/jivago | 892dfb0cae773e36245083c3e56f0f8523145523 | [
"MIT"
] | 73 | 2018-04-20T22:26:00.000Z | 2021-12-01T14:17:37.000Z | jivago/wsgi/routing/exception/unknown_path_exception.py | keotl/jivago | 892dfb0cae773e36245083c3e56f0f8523145523 | [
"MIT"
] | 1 | 2019-02-28T13:33:45.000Z | 2019-02-28T13:33:45.000Z | from jivago.wsgi.routing.exception.routing_exception import RoutingException
class UnknownPathException(RoutingException):
pass
| 22.333333 | 76 | 0.850746 | 13 | 134 | 8.692308 | 0.769231 | 0.283186 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097015 | 134 | 5 | 77 | 26.8 | 0.933884 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
57077f22c0192e90695c180cefb4a662cfe48a1d | 61 | py | Python | theBroker/venv/Lib/site-packages/ttn/github_com/TheThingsNetwork/api/protocol/__init__.py | emirgo/WeatherStation | f0f8c3464470991fc962d83cea20f3bcfd6a04b6 | [
"MIT"
] | 32 | 2017-11-01T16:03:48.000Z | 2021-11-16T12:35:34.000Z | theBroker/venv/Lib/site-packages/ttn/github_com/TheThingsNetwork/api/protocol/__init__.py | emirgo/WeatherStation | f0f8c3464470991fc962d83cea20f3bcfd6a04b6 | [
"MIT"
] | 28 | 2017-11-20T09:45:59.000Z | 2021-12-14T09:31:24.000Z | theBroker/venv/Lib/site-packages/ttn/github_com/TheThingsNetwork/api/protocol/__init__.py | emirgo/WeatherStation | f0f8c3464470991fc962d83cea20f3bcfd6a04b6 | [
"MIT"
] | 22 | 2017-11-03T10:21:50.000Z | 2021-04-08T05:20:51.000Z | from .protocol_pb2_grpc import *
from .protocol_pb2 import *
| 20.333333 | 32 | 0.803279 | 9 | 61 | 5.111111 | 0.555556 | 0.521739 | 0.652174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037736 | 0.131148 | 61 | 2 | 33 | 30.5 | 0.830189 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
93c236ac3253cbce2e0835b6b715f2d48603338e | 11,869 | py | Python | Webots/controllers/dog_c/comm/action/basis.py | JameScottX/Quasi-static-control-of-quadruped-robot | 1e34d8805301c02287804228fac8367056983855 | [
"MIT"
] | 17 | 2021-10-21T12:01:58.000Z | 2022-03-23T04:00:05.000Z | Webots/controllers/dog_c/comm/action/basis.py | JameScottX/Quasi-static-control-of-quadruped-robot | 1e34d8805301c02287804228fac8367056983855 | [
"MIT"
] | null | null | null | Webots/controllers/dog_c/comm/action/basis.py | JameScottX/Quasi-static-control-of-quadruped-robot | 1e34d8805301c02287804228fac8367056983855 | [
"MIT"
] | 4 | 2021-11-22T10:06:45.000Z | 2022-03-21T21:03:03.000Z | # Basic motion methods
# Updated in 2020 8/6
# Author Junwen Cui / JameScottX
# Other: 坐标系已经纠正 依据右手坐标系
import numpy as np
class Pos(object):
def __init__(self, a = 0, b = 0, c = 0):
self.x = a
self.y = b
self.z = c
def __del__(self):
pass
def __str__(self):
return "x:"+str(self.x)+",y:"+str(self.y) +",z:"+str(self.z)
def __add__(self,add):
x = self.x + add[0]
y = self.y + add[1]
z = self.z + add[2]
return np.array([x,y,z])
def __sub__(self,sub):
x = self.x - sub[0]
y = self.y - sub[1]
z = self.z - sub[2]
return np.array([x,y,z])
def __getitem__(self,index):
temp= [self.x,self.y,self.z]
return temp[index]
def assig(self,data):
self.x,self.y,self.z = data[0],data[1],data[2]
pass
def draw(self):
return np.array([self.x,self.y,self.z])
def norm2(self):
return np.sqrt(np.sum(np.square(self.draw())))
class Angle:
def __init__(self, a = 0, b = 0, c = 0):
self.swing = a
self.thign = b
self.calf = c
def __del__(self):
pass
def __str__(self):
return "s:"+str(self.swing)+",t:"+str(self.thign) +",c:"+str(self.calf)
def __add__(self,add):
swing = self.swing + add[0]
thign = self.thign + add[1]
calf = self.calf + add[2]
return np.array([swing,thign,calf])
def __sub__(self,sub):
swing = self.swing - sub[0]
thign = self.thign - sub[1]
calf = self.calf - sub[2]
return np.array([swing,thign,calf])
def __getitem__(self,index):
temp= [self.swing,self.thign,self.calf]
return temp[index]
def assig(self,data):
self.swing,self.thign,self.calf = data[0],data[1],data[2]
pass
def draw(self):
return np.array([self.swing,self.thign,self.calf])
# class Speed:
# def __init__(self, a = 0, b = 0, c = 0):
# self.x = a
# self.y = b
# self.z = c
# def __del__(self):
# pass
# def __str__(self):
# return "x:"+str(self.x)+",y:"+str(self.y) +",z:"+str(self.z)
# def __add__(self,add):
# x = self.x + add[0]
# y = self.y + add[1]
# z = self.z + add[2]
# return np.array([x,y,z])
# def __sub__(self,sub):
# x = self.x - sub[0]
# y = self.y - sub[1]
# z = self.z - sub[2]
# return np.array([x,y,z])
# def __getitem__(self,index):
# temp= [self.x,self.y,self.z]
# return temp[index]
# def assig(self,data):
# self.x,self.y,self.z = data[0],data[1],data[2]
# pass
# def draw(self):
# return np.array([self.x,self.y,self.z])
# def norm2(self):
# return np.sqrt(np.sum(np.square(self.draw())))
class Force:
def __init__(self, a = 0, b = 0, c = 0):
self.x = a
self.y = b
self.z = c
def __del__(self):
pass
def __str__(self):
return "x:"+str(self.x)+",y:"+str(self.y) +",z:"+str(self.z)
def __add__(self,add):
x = self.x + add[0]
y = self.y + add[1]
z = self.z + add[2]
return np.array([x,y,z])
def __sub__(self,sub):
x = self.x - sub[0]
y = self.y - sub[1]
z = self.z - sub[2]
return np.array([x,y,z])
def __getitem__(self,index):
temp= [self.x,self.y,self.z]
return temp[index]
def assig(self,data):
self.x,self.y,self.z = data[0],data[1],data[2]
pass
def draw(self):
return np.array([self.x,self.y,self.z])
def norm2(self):
return np.sqrt(np.sum(np.square(self.draw())))
class Torque:
def __init__(self, a = 0, b = 0, c = 0):
self.swing = a
self.thign = b
self.calf = c
def __del__(self):
pass
def __str__(self):
return "s:"+str(self.swing)+",t:"+str(self.thign) +",c:"+str(self.calf)
def __add__(self,add):
swing = self.swing + add[0]
thign = self.thign + add[1]
calf = self.calf + add[2]
return np.array([swing,thign,calf])
def __sub__(self,sub):
swing = self.swing - sub[0]
thign = self.thign - sub[1]
calf = self.calf - sub[2]
return np.array([swing,thign,calf])
def __getitem__(self,index):
temp= [self.swing,self.thign,self.calf]
return temp[index]
def assig(self,data):
self.swing,self.thign,self.calf = data[0],data[1],data[2]
pass
def draw(self):
return np.array([self.swing,self.thign,self.calf])
class Attitude:
def __init__(self, a = 0, b = 0, c = 0):
self.roll = a
self.pitch = b
self.yaw = c
def __del__(self):
pass
def __str__(self):
return "r:"+str(self.roll)+",p:"+str(self.pitch) +",y:"+str(self.yaw)
def __add__(self,add):
roll = self.roll + add[0]
pitch = self.pitch + add[1]
yaw = self.yaw + add[2]
return np.array([roll,pitch,yaw])
def __sub__(self,sub):
roll = self.roll - sub[0]
pitch = self.pitch - sub[1]
yaw = self.yaw - sub[2]
return np.array([roll,pitch,yaw])
def __getitem__(self,index):
temp= [self.roll,self.pitch,self.yaw]
return temp[index]
def assig(self,data):
self.roll,self.pitch,self.yaw = data[0],data[1],data[2]
pass
def draw(self):
return np.array([self.roll,self.pitch,self.yaw])
# @nb.njit() #加速两倍
def R_Matrix(phi,theta,psi):
'''
旋转矩阵计算 使用 numba进行加速
输入参数为 roll pitch yaw
返回 数组 由于np.mat不被支持
x轴旋转角 phi
y轴旋转角 theta
z轴旋转角 psi
'''
R_ = np.array([[ np.cos(psi)*np.cos(theta), -np.cos(theta)*np.sin(psi), -np.sin(theta)],
[ np.cos(phi)*np.sin(psi) - np.cos(psi)*np.sin(phi)*np.sin(theta), np.cos(phi)*np.cos(psi) + np.sin(phi)*np.sin(psi)*np.sin(theta), -np.cos(theta)*np.sin(phi)],
[ np.sin(phi)*np.sin(psi) + np.cos(phi)*np.cos(psi)*np.sin(theta), np.cos(psi)*np.sin(phi) - np.cos(phi)*np.sin(psi)*np.sin(theta), np.cos(phi)*np.cos(theta)]])
return R_
# @nb.njit() #加速两倍
def R_Matrix_inv(phi,theta,psi):
'''
旋转逆矩阵计算 使用 numba进行加速
输入参数为 roll pitch yaw
返回 数组 由于np.mat不被支持
x轴旋转角 phi
y轴旋转角 theta
z轴旋转角 psi
'''
R_inv = np.array([[ np.cos(psi)*np.cos(theta), np.cos(phi)*np.sin(psi) - np.cos(psi)*np.sin(phi)*np.sin(theta), np.sin(phi)*np.sin(psi) + np.cos(phi)*np.cos(psi)*np.sin(theta)],
[ -np.cos(theta)*np.sin(psi), np.cos(phi)*np.cos(psi) + np.sin(phi)*np.sin(psi)*np.sin(theta), np.cos(psi)*np.sin(phi) - np.cos(phi)*np.sin(psi)*np.sin(theta)],
[ -np.sin(theta), -np.cos(theta)*np.sin(phi), np.cos(phi)*np.cos(theta)]])
return R_inv
def R_Matrix_yaw(psi):
R_ = np.array([[np.cos(psi), -np.sin(psi), 0],
[np.sin(psi), np.cos(psi), 0],
[0, 0, 1]])
return R_
def vallimit(value, min, max):
'''
限幅函数
'''
if value > max :
value = max
elif value < min : value = min
return value
def PD_ang(leg, pos_n, pos_d, K, D):
'''关节角度PD控制器'''
dis_ = np.array(pos_d) - np.array(pos_n)
dis_asse_last =leg.err_stc.draw()
f_stc = K * dis_ + D * (dis_-dis_asse_last)
leg.err_stc.assig(dis_)
return f_stc
def DK(leg, module_info):
L1 = module_info['swing_lenth']
L2 = module_info['thign_lenth']
L3 = module_info['calf_lenth']
theta1 = leg.angle.swing
theta2 = leg.angle.thign
theta3 = leg.angle.calf
x = L3*np.sin(theta2 + theta3) + L2*np.sin(theta2)
y = L2*np.cos(theta2)*np.sin(theta1) - L1*np.cos(theta1) + L3*np.cos(theta2)*np.cos(theta3)*np.sin(theta1) - L3*np.sin(theta1)*np.sin(theta2)*np.sin(theta3)
z = L3*np.cos(theta1)*np.sin(theta2)*np.sin(theta3) - L2*np.cos(theta1)*np.cos(theta2) - L3*np.cos(theta1)*np.cos(theta2)*np.cos(theta3) - L1*np.sin(theta1)
leg.position.assig([x,y,z])
def DK2(leg, theats):
L1 = leg.module_info['swing_lenth']
L2 = leg.module_info['thign_lenth']
L3 = leg.module_info['calf_lenth']
theta1 = theats[0]
theta2 = theats[1]
theta3 = theats[2]
x = L3*np.sin(theta2 + theta3) + L2*np.sin(theta2)
y = L2*np.cos(theta2)*np.sin(theta1) - L1*np.cos(theta1) + L3*np.cos(theta2)*np.cos(theta3)*np.sin(theta1) - L3*np.sin(theta1)*np.sin(theta2)*np.sin(theta3)
z = L3*np.cos(theta1)*np.sin(theta2)*np.sin(theta3) - L2*np.cos(theta1)*np.cos(theta2) - L3*np.cos(theta1)*np.cos(theta2)*np.cos(theta3) - L1*np.sin(theta1)
return np.array([x,y,z])
def J_get(leg, theats):
L1 = leg.module_info['swing_lenth']
L2 = leg.module_info['thign_lenth']
L3 = leg.module_info['calf_lenth']
theta1 = theats[0]
theta2 = theats[1]
theta3 = theats[2]
J = np.mat([[ 0, L3*np.cos(theta2 + theta3) + L2*np.cos(theta2), L3*np.cos(theta2 + theta3)],
[ L1*np.sin(theta1) + L2*np.cos(theta1)*np.cos(theta2) + L3*np.cos(theta1)*np.cos(theta2)*np.cos(theta3) - L3*np.cos(theta1)*np.sin(theta2)*np.sin(theta3), -np.sin(theta1)*(L3*np.sin(theta2 + theta3) + L2*np.sin(theta2)), -L3*np.sin(theta2 + theta3)*np.sin(theta1)],
[ L2*np.cos(theta2)*np.sin(theta1) - L1*np.cos(theta1) + L3*np.cos(theta2)*np.cos(theta3)*np.sin(theta1) - L3*np.sin(theta1)*np.sin(theta2)*np.sin(theta3), np.cos(theta1)*(L3*np.sin(theta2 + theta3) + L2*np.sin(theta2)), L3*np.sin(theta2 + theta3)*np.cos(theta1)]])
return J
def IK(leg,module_info):
L1 = module_info['swing_lenth']
L2 = module_info['thign_lenth']
L3 = module_info['calf_lenth']
tar = leg.position_f.draw()
thetas = leg.angle.draw()
xyz = DK2(leg, thetas)
J = J_get(leg, thetas)
J__ = np.linalg.pinv(J)
exyz = np.mat(tar - xyz).T
thetas_ = J__ * exyz
thetas += np.squeeze(np.array(thetas_).T)
for i in range(15):
temp = np.squeeze(thetas.T)
xyz = DK2(leg, temp)
if np.linalg.norm(tar - xyz) < 1e-4:
break
J = J_get(leg , thetas)
J__ = np.linalg.pinv(J)
exyz = np.mat(tar - xyz).T
thetas_ = J__* exyz
thetas += np.squeeze(np.array(thetas_).T)
leg.angle_f.assig(np.squeeze(thetas.T))
def force2torque(leg, module_info):
force = np.mat(leg.force_f.draw()).T
thetas = leg.angle.draw()
J_T = J_get(leg,thetas).T
torque = J_T * force
leg.torque_f.assig(np.squeeze(np.array(torque).T))
if __name__ == '__main__':
L1 = 0
L2 = 0.32
L3 = 0.32
theta1 = 0
theta2 = -1.5708/2
theta3 = 1.5708
J = np.mat([[ 0, L3*np.cos(theta2 + theta3) + L2*np.cos(theta2), L3*np.cos(theta2 + theta3)],
[ L1*np.sin(theta1) + L2*np.cos(theta1)*np.cos(theta2) + L3*np.cos(theta1)*np.cos(theta2)*np.cos(theta3) - L3*np.cos(theta1)*np.sin(theta2)*np.sin(theta3), -np.sin(theta1)*(L3*np.sin(theta2 + theta3) + L2*np.sin(theta2)), -L3*np.sin(theta2 + theta3)*np.sin(theta1)],
[ L2*np.cos(theta2)*np.sin(theta1) - L1*np.cos(theta1) + L3*np.cos(theta2)*np.cos(theta3)*np.sin(theta1) - L3*np.sin(theta1)*np.sin(theta2)*np.sin(theta3), np.cos(theta1)*(L3*np.sin(theta2 + theta3) + L2*np.sin(theta2)), L3*np.sin(theta2 + theta3)*np.cos(theta1)]])
temp = J.T * np.mat([0,0,100]).T
print(temp)
| 28.808252 | 275 | 0.538883 | 1,864 | 11,869 | 3.308476 | 0.078863 | 0.068104 | 0.042809 | 0.027242 | 0.836549 | 0.834117 | 0.804929 | 0.801849 | 0.77639 | 0.770553 | 0 | 0.037889 | 0.281742 | 11,869 | 411 | 276 | 28.878346 | 0.685513 | 0.104053 | 0 | 0.691667 | 0 | 0 | 0.016757 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.216667 | false | 0.041667 | 0.004167 | 0.05 | 0.383333 | 0.004167 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
93e85e798c5d5f18c6c50b6212e6058c534bf3c0 | 11,398 | py | Python | games.py | danielGoldsteinCS2021/ReinforcementLearningGames | fc5e7b6c04270818f904c62f7fdadea4f0073945 | [
"MIT"
] | null | null | null | games.py | danielGoldsteinCS2021/ReinforcementLearningGames | fc5e7b6c04270818f904c62f7fdadea4f0073945 | [
"MIT"
] | null | null | null | games.py | danielGoldsteinCS2021/ReinforcementLearningGames | fc5e7b6c04270818f904c62f7fdadea4f0073945 | [
"MIT"
] | null | null | null | import random
from numpy.random import choice
import numpy as np
from matplotlib import pyplot as plt
def gameAlgorithm(rewardMatrices, policies, episodes, alpha, num_moves, anchor):
p1_policies = np.empty([episodes, num_moves])
p2_policies = np.empty([episodes, num_moves])
# Initialize expected values
if anchor:
p1_expected = []
p2_expected = []
for i in range(num_moves):
p1_expected.append(policies[0][i])
p2_expected.append(policies[1][i])
for k in range(episodes):
# Store policies from previous episode
p1_old = policies[0].copy()
p2_old = policies[1].copy()
# Keep track of policy at current episode for matplotlib figures
p1_policies[k] = policies[0].copy()
p2_policies[k] = policies[1].copy()
if anchor:
for i in range(num_moves):
p1_expected[i] = p1_expected[i] + \
alpha * (policies[0][i] - p1_expected[i])
p2_expected[i] = p2_expected[i] + \
alpha * (policies[1][i] - p2_expected[i])
# Generate actions for each player
p1_action = generateAction(0, policies)
p2_action = generateAction(1, policies)
# Determine rewards for each player action
p1_reward = rewardMatrices[0][p1_action][p2_action]
p2_reward = rewardMatrices[1][p1_action][p2_action]
if anchor:
# Player 1
# If chosen action is taken
policies[0][p1_action] = p1_old[p1_action] + \
alpha * p1_reward * \
(1-p1_old[p1_action]) + alpha * \
(p1_expected[p1_action] - policies[0][p1_action])
# For all other actions o =/= p1_action
for o in range(len(policies[0])):
if o != p1_action:
policies[0][o] = p1_old[o] - alpha * \
p1_reward * \
p1_old[o] + alpha * \
(p1_expected[o] - policies[0][o])
# Player 2
# If chosen action is taken
policies[1][p2_action] = p2_old[p2_action] + \
alpha * p2_reward * (1-p2_old[p2_action]) + alpha * \
(p2_expected[p2_action] - policies[1][p2_action])
# For all other actions o =/= p2_action
for o in range(len(policies[1])):
if o != p2_action:
policies[1][o] = p2_old[o] - alpha * \
p2_reward * p2_old[o] + alpha * \
(p2_expected[o] - policies[1][o])
else:
# Player 1
# If chosen action is taken
policies[0][p1_action] = p1_old[p1_action] + \
alpha * p1_reward * (1-p1_old[p1_action])
# For all other actions o =/= p1_action
for o in range(len(policies[0])):
if o != p1_action:
policies[0][o] = p1_old[o] - alpha * \
p1_reward * p1_old[o]
# Player 2
# If chosen action is taken
policies[1][p2_action] = p2_old[p2_action] + \
alpha * p2_reward * (1-p2_old[p2_action])
# For all other actions o =/= p2_action
for o in range(len(policies[1])):
if o != p2_action:
policies[1][o] = p2_old[o] - alpha * \
p2_reward * p2_old[o]
# Normalize policies
policies = normalize(policies)
return policies, [p1_policies, p2_policies]
def generateAction(player, policies):
# Generate a random action for player from probability vector
action = choice(range(len(policies[player])),
p=policies[player])
return action
def normalize(policies):
p1 = policies[0].copy()
p2 = policies[1].copy()
p1_sum = sum(p1)
p2_sum = sum(p2)
for i in range(len(p1)):
p1[i] = p1[i] / p1_sum
p2[i] = p2[i] / p2_sum
return [p1, p2]
def generateValue(policies, rewardMatrices):
p1 = policies[0]
p2 = policies[1]
value = np.dot(np.dot(np.transpose(p1), rewardMatrices), p2)
return value
if __name__ == "__main__":
'''UNMODIFIED ALGORITHM'''
'''Prisoner's'''
player1, player2 = [[5, 0], [10, 1]], [[5, 10], [0, 1]]
p = [[0.5, 0.5], [0.5, 0.5]]
rewardMatrices = [player1, player2]
# Run algorithm
results = gameAlgorithm(rewardMatrices, p, 50000, 0.001, 2, False)
# Organize results
policies = results[0]
p1_policies = results[1][0]
p2_policies = results[1][1]
# Generate player 1 figure
p1_move1 = [i[0] for i in p1_policies]
p1_move2 = [i[1] for i in p1_policies]
plt.plot(p1_move1, label="Cooperate")
plt.plot(p1_move2, label="Defect")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
# Generate player 2 figure
p2_move1 = [i[0] for i in p2_policies]
p2_move2 = [i[1] for i in p2_policies]
plt.plot(p2_move1, label="Cooperate")
plt.plot(p2_move2, label="Defect")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
print("Prisoner's (Unmodified) Value of the Game:")
print(generateValue(policies, rewardMatrices))
'''Pennies'''
player1, player2 = [[1, -1], [-1, 1]], [[-1, 1], [1, -1]]
p = [[0.2, 0.8], [0.8, 0.2]]
rewardMatrices = [player1, player2]
# Run algorithm
results = gameAlgorithm(rewardMatrices, p, 50000, 0.001, 2, False)
# Organize results
policies = results[0]
p1_policies = results[1][0]
p2_policies = results[1][1]
# Generate player 1 figure
p1_move1 = [i[0] for i in p1_policies]
p1_move2 = [i[1] for i in p1_policies]
plt.plot(p1_move1, label="Head")
plt.plot(p1_move2, label="Tail")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
# Generate player 2 figure
p2_move1 = [i[0] for i in p2_policies]
p2_move2 = [i[1] for i in p2_policies]
plt.plot(p2_move1, label="Head")
plt.plot(p2_move2, label="Tail")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
print("Pennies (Unmodified) Value of the Game:")
print(generateValue(policies, rewardMatrices))
'''Rock Paper Scissors'''
player1, player2 = [[0, -1, 1], [1, 0, -1],
[-1, 1, 0]], [[0, 1, -1], [-1, 0, 1], [1, -1, 0]]
p = [[0.6, 0.2, 0.2], [0.6, 0.2, 0.2]]
# p = [[0.33, 0.33, 0.34], [0.33, 0.33, 0.34]]
rewardMatrices = [player1, player2]
# Run algorithm
results = gameAlgorithm(rewardMatrices, p, 50000, 0.001, 3, False)
# Organize results
policies = results[0]
p1_policies = results[1][0]
p2_policies = results[1][1]
# Generate player 1 figure
p1_move1 = [i[0] for i in p1_policies]
p1_move2 = [i[1] for i in p1_policies]
p1_move3 = [i[2] for i in p1_policies]
plt.plot(p1_move1, label="Rock")
plt.plot(p1_move2, label="Paper")
plt.plot(p1_move3, label="Scissors")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
# Generate player 2 figure
p2_move1 = [i[0] for i in p2_policies]
p2_move2 = [i[1] for i in p2_policies]
p2_move3 = [i[2] for i in p2_policies]
plt.plot(p2_move1, label="Rock")
plt.plot(p2_move2, label="Paper")
plt.plot(p2_move3, label="Scissors")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
print("Rock Paper Scissors (Unmodified) Value of the Game:")
print(generateValue(policies, rewardMatrices))
'''MODIFIED ALGORITHM'''
'''Prisoner's'''
player1, player2 = [[5, 0], [10, 1]], [[5, 10], [0, 1]]
p = [[0.5, 0.5], [0.5, 0.5]]
rewardMatrices = [player1, player2]
# Run algorithm
results = gameAlgorithm(rewardMatrices, p, 50000, 0.001, 2, True)
# Organize results
policies = results[0]
p1_policies = results[1][0]
p2_policies = results[1][1]
# Generate player 1 figure
p1_move1 = [i[0] for i in p1_policies]
p1_move2 = [i[1] for i in p1_policies]
plt.plot(p1_move1, label="Cooperate")
plt.plot(p1_move2, label="Defect")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
# Generate player 2 figure
p2_move1 = [i[0] for i in p2_policies]
p2_move2 = [i[1] for i in p2_policies]
plt.plot(p2_move1, label="Cooperate")
plt.plot(p2_move2, label="Defect")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
print("Prisoner's (Modified) Value of the Game:")
print(generateValue(policies, rewardMatrices))
'''Pennies'''
player1, player2 = [[1, -1], [-1, 1]], [[-1, 1], [1, -1]]
p = [[0.2, 0.8], [0.8, 0.2]]
rewardMatrices = [player1, player2]
# Run algorithm
results = gameAlgorithm(rewardMatrices, p, 50000, 0.001, 2, True)
# Organize results
policies = results[0]
p1_policies = results[1][0]
p2_policies = results[1][1]
# Generate player 1 figure
p1_move1 = [i[0] for i in p1_policies]
p1_move2 = [i[1] for i in p1_policies]
plt.plot(p1_move1, label="Head")
plt.plot(p1_move2, label="Tail")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
# Generate player 2 figure
p2_move1 = [i[0] for i in p2_policies]
p2_move2 = [i[1] for i in p2_policies]
plt.plot(p2_move1, label="Head")
plt.plot(p2_move2, label="Tail")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
print("Pennies (Modified) Value of the Game:")
print(generateValue(policies, rewardMatrices))
'''Rock Paper Scissors'''
player1, player2 = [[0, -1, 1], [1, 0, -1],
[-1, 1, 0]], [[0, 1, -1], [-1, 0, 1], [1, -1, 0]]
p = [[0.6, 0.2, 0.2], [0.6, 0.2, 0.2]]
# p = [[0.33, 0.33, 0.34], [0.33, 0.33, 0.34]]
rewardMatrices = [player1, player2]
# Run algorithm
results = gameAlgorithm(rewardMatrices, p, 50000, 0.001, 3, True)
# Organize results
policies = results[0]
p1_policies = results[1][0]
p2_policies = results[1][1]
# Generate player 1 figure
p1_move1 = [i[0] for i in p1_policies]
p1_move2 = [i[1] for i in p1_policies]
p1_move3 = [i[2] for i in p1_policies]
plt.plot(p1_move1, label="Rock")
plt.plot(p1_move2, label="Paper")
plt.plot(p1_move3, label="Scissors")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
# Generate player 2 figure
p2_move1 = [i[0] for i in p2_policies]
p2_move2 = [i[1] for i in p2_policies]
p2_move3 = [i[2] for i in p2_policies]
plt.plot(p2_move1, label="Rock")
plt.plot(p2_move2, label="Paper")
plt.plot(p2_move3, label="Scissors")
plt.xlabel('Episode')
plt.ylabel('Probability')
plt.legend()
plt.show()
print("Rock Paper Scissors (Modified) Value of the Game:")
print(generateValue(policies, rewardMatrices))
| 35.397516 | 81 | 0.563695 | 1,545 | 11,398 | 4.034951 | 0.077023 | 0.01155 | 0.029836 | 0.017966 | 0.801893 | 0.787295 | 0.775104 | 0.775104 | 0.7658 | 0.739814 | 0 | 0.075592 | 0.29549 | 11,398 | 321 | 82 | 35.507788 | 0.700747 | 0.100632 | 0 | 0.717842 | 0 | 0 | 0.066009 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016598 | false | 0 | 0.016598 | 0 | 0.049793 | 0.049793 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
9e2270609bd42ee45cef7f18c4354fd21f0f60c1 | 98 | py | Python | simple_avk/__init__.py | megahomyak/simple_avk | 59528cd73e34cee0058fc8765e03cb762879ab6f | [
"Unlicense"
] | 6 | 2020-06-08T13:42:18.000Z | 2022-02-09T19:54:58.000Z | simple_avk/__init__.py | megahomyak/simple_avk | 59528cd73e34cee0058fc8765e03cb762879ab6f | [
"Unlicense"
] | null | null | null | simple_avk/__init__.py | megahomyak/simple_avk | 59528cd73e34cee0058fc8765e03cb762879ab6f | [
"Unlicense"
] | null | null | null | from simple_avk.AVK import SimpleAVK
from simple_avk.exceptions import MethodError, LongpollError
| 32.666667 | 60 | 0.877551 | 13 | 98 | 6.461538 | 0.615385 | 0.238095 | 0.309524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091837 | 98 | 2 | 61 | 49 | 0.94382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
f51a83dc4042e491393e4756d7ca695a92cf83e5 | 163 | py | Python | test_api_server.py | mayk93/MongoRouterTutorial | 09de0853898ea7af66dd93d8bee1bf859e845435 | [
"MIT"
] | null | null | null | test_api_server.py | mayk93/MongoRouterTutorial | 09de0853898ea7af66dd93d8bee1bf859e845435 | [
"MIT"
] | 1 | 2021-06-01T21:54:47.000Z | 2021-06-01T21:54:47.000Z | test_api_server.py | mayk93/MongoRouterTutorial | 09de0853898ea7af66dd93d8bee1bf859e845435 | [
"MIT"
] | null | null | null | import requests
print(requests.get("http://localhost:8000/data").text)
print(requests.post("http://localhost:8000/data", {"name": "John Smith", "value": 5}).text) | 40.75 | 91 | 0.711656 | 23 | 163 | 5.043478 | 0.652174 | 0.224138 | 0.293103 | 0.362069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.058442 | 0.055215 | 163 | 4 | 91 | 40.75 | 0.694805 | 0 | 0 | 0 | 0 | 0 | 0.432927 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0.666667 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 8 |
f52f0ca5234ed55d4c3adf033e9b721e52b09f25 | 8,317 | py | Python | async_scram.py | falkevik/scrampy | 88a302649141ffdba181a574b821a1f5952bd54e | [
"Apache-2.0"
] | null | null | null | async_scram.py | falkevik/scrampy | 88a302649141ffdba181a574b821a1f5952bd54e | [
"Apache-2.0"
] | null | null | null | async_scram.py | falkevik/scrampy | 88a302649141ffdba181a574b821a1f5952bd54e | [
"Apache-2.0"
] | null | null | null | # vim: set expandtab:
import asyncio
import binascii
import logging
import scram_lib
import socket
import ssl
import sys
import time
import types
if sys.version_info > (3,):
buffer = memoryview
async def authenticate(username, password, reader, writer, loop, retries = 0):
logging.debug('Scram authentication initiated, number of potential retries: {}'.format(retries))
succeeded = False
timeout = 0
while retries >= 0 and (not succeeded):
succeeded = await _authenticate(username, password, reader, writer, timeout = timeout)
if succeeded:
break
retries -= 1
if not timeout:
timeout = 1
else:
timeout *= 2
logging.debug('Scram authentication failed. Retrying, number of retries left: {}, timeout: {} second(s)'.format(retries, timeout))
return succeeded
async def _authenticate(username, password, reader, writer, timeout = 0):
logging.debug('Scram authenticate called...')
state = {}
state['username'] = scram_lib.nameprep(username)
state['password'] = scram_lib.nameprep(password)
state = scram_lib.clientFirstMessage(state)
logging.debug('Client first message: {}'.format(state['client_first_msg']))
buffer_ = state['client_first_msg']
logging.debug('Sending client first message')
status = await writer(bytes(buffer_, 'utf-8'))
logging.debug('Sent client first message')
logging.debug('Receiving server first message')
response = await reader()
logging.debug('Received server first message: {}'.format(response))
state['server_first_msg'] = response
state = scram_lib.parse(response, state)
state = scram_lib.clientFinalMessage(state)
logging.debug('Client final message: {}'.format(state['client_final_msg']))
buffer_ = state['client_final_msg']
logging.debug('Sending client final message')
status = writer(bytes(buffer_, 'ascii'))
logging.debug('Sent client final message')
logging.debug('Receiving server final message')
received_data = await reader(timeout = timeout)
logging.debug('Received server final message: {}'.format(response))
state = scram_lib.parse(response, state)
if scram_lib.verifyServerSignature(state):
logging.debug('Authentication succeeded.')
return True
else:
logging.error('Authentication failed.')
return False
@asyncio.coroutine
def sendMessage(writer, msg):
writer.write(msg)
yield from writer.drain()
return True
@asyncio.coroutine
def receiveMessage(reader, timeout = 0):
total_data = []
to = None
#recv something
while True:
coro = asyncio.Task(reader.read(4096))
try:
data = yield from asyncio.wait_for(coro, timeout=to)
if data:
total_data.append(data)
to = timeout
except asyncio.TimeoutError:
# Docs say: "When a timeout occurs, it cancels the task
# and raises asyncio.TimeoutError."
# But it doesn't cancel! So we cancel here.
# coro.cancel()
break
response = b''.join(total_data)
logging.debug('recv data: {}'.format(response))
return response
# For testing.
if __name__ == "__main__":
scram_lib.setup_logging()
import asyncio
import binascii
import logging
import scram_lib
import socket
import ssl
import sys
import time
import types
if sys.version_info > (3,):
buffer = memoryview
def authenticate(username, password, reader, writer, loop, retries = 0):
logging.debug('Scram authentication initiated, number of potential retries: {}'.format(retries))
succeeded = False
timeout = 0
while retries >= 0 and (not succeeded):
succeeded = _authenticate(username, password, reader, writer, timeout = timeout)
if succeeded:
break
retries -= 1
if not timeout:
timeout = 1
else:
timeout *= 2
logging.debug('Scram authentication failed. Retrying, number of retries left: {}, timeout: {} second(s)'.format(retries, timeout))
return succeeded
async def _authenticate(username, password, reader, writer, timeout = 0):
logging.debug('Scram authenticate called...')
state = {}
state['username'] = scram_lib.nameprep(username)
state['password'] = scram_lib.nameprep(password)
state = scram_lib.clientFirstMessage(state)
logging.debug('Client first message: {}'.format(state['client_first_msg']))
buffer_ = state['client_first_msg']
logging.debug('Sending client first message')
status = writer.write_data(bytes(buffer_, 'utf-8'))
logging.debug('Sent client first message {}'.format(status))
logging.debug('Receiving server first message')
response = await reader.read_data()
logging.debug('Received server first message: {}'.format(response))
state['server_first_msg'] = response
state = scram_lib.parse(response, state)
state = scram_lib.clientFinalMessage(state)
logging.debug('Client final message: {}'.format(state['client_final_msg']))
buffer_ = state['client_final_msg']
logging.debug('Sending client final message')
status = writer.write_data(bytes(buffer_, 'ascii'))
logging.debug('Sent client final message')
logging.debug('Receiving server final message')
response = await reader.read_data(timeout = timeout)
logging.debug('Received server final message: {}'.format(response))
state = scram_lib.parse(response, state)
if scram_lib.verifyServerSignature(state):
logging.debug('Authentication succeeded.')
return True
else:
logging.error('Authentication failed.')
return False
@asyncio.coroutine
def sendMessage(writer, msg):
writer.write(msg)
yield from writer.drain()
return True
@asyncio.coroutine
def receiveMessage(reader, timeout = 0):
total_data = []
to = None
#recv something
while True:
coro = asyncio.Task(reader.read(4096))
try:
data = yield from asyncio.wait_for(coro, timeout=to)
if data:
total_data.append(data)
to = timeout
except asyncio.TimeoutError:
# Docs say: "When a timeout occurs, it cancels the task
# and raises asyncio.TimeoutError."
# But it doesn't cancel! So we cancel here.
# coro.cancel()
break
response = b''.join(total_data)
logging.debug('recv data: {}'.format(response))
return response
# For testing.
class TestConnection:
def __init__(self, reader, writer, loop):
self.reader = reader
self.writer = writer
self.loop = loop
async def read_data(self, timeout = None):
if timeout == 0:
timeout = None
try:
numbytes = await asyncio.wait_for(self.reader.readexactly(4),
timeout=timeout,loop=self.loop)
lenght = int.from_bytes(numbytes, byteorder='big')
data = await asyncio.wait_for(self.reader.readexactly(lenght),
timeout=timeout, loop=self.loop)
return data
except CancelledError as e:
raise e
except asyncio.TimeoutError as e:
raise e
except Exception as e:
err = sys.exc_info()
raise e
def write_data(self, msg, timeout=0):
length = len(msg)
num_bytes = length.to_bytes(4, byteorder='big')
data = b''.join([num_bytes, msg])
res = self.writer.write(data)
return res
def close(self):
self.writer.close()
if __name__ == "__main__":
scram_lib.setup_logging()
host = 'localhost'
port = 8887
username = password = 'admin'
loop = asyncio.get_event_loop()
ctx = ssl.create_default_context(ssl.Purpose.CLIENT_AUTH)
connection = asyncio.open_connection(host,
port,
ssl=ctx, loop=loop)
(reader, writer) = loop.run_until_complete(connection)
test = TestConnection(reader, writer, loop)
loop.run_until_complete(authenticate(username, password, test, test, loop = loop))
test.close()
loop.close()
| 31.623574 | 138 | 0.643621 | 948 | 8,317 | 5.53481 | 0.175105 | 0.068611 | 0.019821 | 0.038879 | 0.84353 | 0.827902 | 0.821231 | 0.789022 | 0.789022 | 0.766914 | 0 | 0.005783 | 0.251533 | 8,317 | 262 | 139 | 31.744275 | 0.837108 | 0.043405 | 0 | 0.75122 | 0 | 0 | 0.162302 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039024 | false | 0.04878 | 0.087805 | 0 | 0.190244 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1910132bc0d2f717aead6f00a1dc3cf9f92a8695 | 20,996 | py | Python | sdk/python/pulumi_datadog/metric_tag_configuration.py | pulumi/pulumi-datadog | dbc3e51b438de20aca4207bf894dbaa5a2db4bca | [
"ECL-2.0",
"Apache-2.0"
] | 10 | 2019-09-17T20:41:19.000Z | 2022-01-07T15:42:07.000Z | sdk/python/pulumi_datadog/metric_tag_configuration.py | pulumi/pulumi-datadog | dbc3e51b438de20aca4207bf894dbaa5a2db4bca | [
"ECL-2.0",
"Apache-2.0"
] | 86 | 2019-07-08T11:47:05.000Z | 2022-03-28T21:02:19.000Z | sdk/python/pulumi_datadog/metric_tag_configuration.py | pulumi/pulumi-datadog | dbc3e51b438de20aca4207bf894dbaa5a2db4bca | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2019-10-05T10:34:15.000Z | 2021-08-08T04:14:19.000Z | # 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__ = ['MetricTagConfigurationArgs', 'MetricTagConfiguration']
@pulumi.input_type
class MetricTagConfigurationArgs:
def __init__(__self__, *,
metric_name: pulumi.Input[str],
metric_type: pulumi.Input[str],
tags: pulumi.Input[Sequence[pulumi.Input[str]]],
aggregations: Optional[pulumi.Input[Sequence[pulumi.Input['MetricTagConfigurationAggregationArgs']]]] = None,
include_percentiles: Optional[pulumi.Input[bool]] = None):
"""
The set of arguments for constructing a MetricTagConfiguration resource.
:param pulumi.Input[str] metric_name: The metric name for this resource.
:param pulumi.Input[str] metric_type: The metric's type. This field can't be updated after creation. Valid values are `gauge`, `count`, `rate`, `distribution`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A list of tag keys that will be queryable for your metric.
:param pulumi.Input[Sequence[pulumi.Input['MetricTagConfigurationAggregationArgs']]] aggregations: A list of queryable aggregation combinations for a count, rate, or gauge metric. By default, count and rate metrics require the (time: sum, space: sum) aggregation and gauge metrics require the (time: avg, space: avg) aggregation. Can only be applied to metrics that have a `metric_type` of count, rate, or gauge.
:param pulumi.Input[bool] include_percentiles: Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have a `metric_type` of distribution.
"""
pulumi.set(__self__, "metric_name", metric_name)
pulumi.set(__self__, "metric_type", metric_type)
pulumi.set(__self__, "tags", tags)
if aggregations is not None:
pulumi.set(__self__, "aggregations", aggregations)
if include_percentiles is not None:
pulumi.set(__self__, "include_percentiles", include_percentiles)
@property
@pulumi.getter(name="metricName")
def metric_name(self) -> pulumi.Input[str]:
"""
The metric name for this resource.
"""
return pulumi.get(self, "metric_name")
@metric_name.setter
def metric_name(self, value: pulumi.Input[str]):
pulumi.set(self, "metric_name", value)
@property
@pulumi.getter(name="metricType")
def metric_type(self) -> pulumi.Input[str]:
"""
The metric's type. This field can't be updated after creation. Valid values are `gauge`, `count`, `rate`, `distribution`.
"""
return pulumi.get(self, "metric_type")
@metric_type.setter
def metric_type(self, value: pulumi.Input[str]):
pulumi.set(self, "metric_type", value)
@property
@pulumi.getter
def tags(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]:
"""
A list of tag keys that will be queryable for your metric.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]):
pulumi.set(self, "tags", value)
@property
@pulumi.getter
def aggregations(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MetricTagConfigurationAggregationArgs']]]]:
"""
A list of queryable aggregation combinations for a count, rate, or gauge metric. By default, count and rate metrics require the (time: sum, space: sum) aggregation and gauge metrics require the (time: avg, space: avg) aggregation. Can only be applied to metrics that have a `metric_type` of count, rate, or gauge.
"""
return pulumi.get(self, "aggregations")
@aggregations.setter
def aggregations(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MetricTagConfigurationAggregationArgs']]]]):
pulumi.set(self, "aggregations", value)
@property
@pulumi.getter(name="includePercentiles")
def include_percentiles(self) -> Optional[pulumi.Input[bool]]:
"""
Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have a `metric_type` of distribution.
"""
return pulumi.get(self, "include_percentiles")
@include_percentiles.setter
def include_percentiles(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "include_percentiles", value)
@pulumi.input_type
class _MetricTagConfigurationState:
def __init__(__self__, *,
aggregations: Optional[pulumi.Input[Sequence[pulumi.Input['MetricTagConfigurationAggregationArgs']]]] = None,
include_percentiles: Optional[pulumi.Input[bool]] = None,
metric_name: Optional[pulumi.Input[str]] = None,
metric_type: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
Input properties used for looking up and filtering MetricTagConfiguration resources.
:param pulumi.Input[Sequence[pulumi.Input['MetricTagConfigurationAggregationArgs']]] aggregations: A list of queryable aggregation combinations for a count, rate, or gauge metric. By default, count and rate metrics require the (time: sum, space: sum) aggregation and gauge metrics require the (time: avg, space: avg) aggregation. Can only be applied to metrics that have a `metric_type` of count, rate, or gauge.
:param pulumi.Input[bool] include_percentiles: Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have a `metric_type` of distribution.
:param pulumi.Input[str] metric_name: The metric name for this resource.
:param pulumi.Input[str] metric_type: The metric's type. This field can't be updated after creation. Valid values are `gauge`, `count`, `rate`, `distribution`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A list of tag keys that will be queryable for your metric.
"""
if aggregations is not None:
pulumi.set(__self__, "aggregations", aggregations)
if include_percentiles is not None:
pulumi.set(__self__, "include_percentiles", include_percentiles)
if metric_name is not None:
pulumi.set(__self__, "metric_name", metric_name)
if metric_type is not None:
pulumi.set(__self__, "metric_type", metric_type)
if tags is not None:
pulumi.set(__self__, "tags", tags)
@property
@pulumi.getter
def aggregations(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['MetricTagConfigurationAggregationArgs']]]]:
"""
A list of queryable aggregation combinations for a count, rate, or gauge metric. By default, count and rate metrics require the (time: sum, space: sum) aggregation and gauge metrics require the (time: avg, space: avg) aggregation. Can only be applied to metrics that have a `metric_type` of count, rate, or gauge.
"""
return pulumi.get(self, "aggregations")
@aggregations.setter
def aggregations(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['MetricTagConfigurationAggregationArgs']]]]):
pulumi.set(self, "aggregations", value)
@property
@pulumi.getter(name="includePercentiles")
def include_percentiles(self) -> Optional[pulumi.Input[bool]]:
"""
Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have a `metric_type` of distribution.
"""
return pulumi.get(self, "include_percentiles")
@include_percentiles.setter
def include_percentiles(self, value: Optional[pulumi.Input[bool]]):
pulumi.set(self, "include_percentiles", value)
@property
@pulumi.getter(name="metricName")
def metric_name(self) -> Optional[pulumi.Input[str]]:
"""
The metric name for this resource.
"""
return pulumi.get(self, "metric_name")
@metric_name.setter
def metric_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "metric_name", value)
@property
@pulumi.getter(name="metricType")
def metric_type(self) -> Optional[pulumi.Input[str]]:
"""
The metric's type. This field can't be updated after creation. Valid values are `gauge`, `count`, `rate`, `distribution`.
"""
return pulumi.get(self, "metric_type")
@metric_type.setter
def metric_type(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "metric_type", value)
@property
@pulumi.getter
def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
A list of tag keys that will be queryable for your metric.
"""
return pulumi.get(self, "tags")
@tags.setter
def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "tags", value)
class MetricTagConfiguration(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
aggregations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['MetricTagConfigurationAggregationArgs']]]]] = None,
include_percentiles: Optional[pulumi.Input[bool]] = None,
metric_name: Optional[pulumi.Input[str]] = None,
metric_type: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
__props__=None):
"""
Provides a Datadog metric tag configuration resource. This can be used to modify tag configurations for metrics.
## Example Usage
```python
import pulumi
import pulumi_datadog as datadog
# Manage a tag configuration for a Datadog distribution metric with/without percentiles
example_dist_metric = datadog.MetricTagConfiguration("exampleDistMetric",
include_percentiles=False,
metric_name="example.terraform.dist.metric",
metric_type="distribution",
tags=[
"sport",
"datacenter",
])
# Manage tag configurations for a Datadog count or gauge metric
example_count_metric = datadog.MetricTagConfiguration("exampleCountMetric",
aggregations=[
datadog.MetricTagConfigurationAggregationArgs(
space="min",
time="avg",
),
datadog.MetricTagConfigurationAggregationArgs(
space="max",
time="avg",
),
],
metric_name="example.terraform.count.metric",
metric_type="count",
tags=[
"sport",
"datacenter",
])
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['MetricTagConfigurationAggregationArgs']]]] aggregations: A list of queryable aggregation combinations for a count, rate, or gauge metric. By default, count and rate metrics require the (time: sum, space: sum) aggregation and gauge metrics require the (time: avg, space: avg) aggregation. Can only be applied to metrics that have a `metric_type` of count, rate, or gauge.
:param pulumi.Input[bool] include_percentiles: Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have a `metric_type` of distribution.
:param pulumi.Input[str] metric_name: The metric name for this resource.
:param pulumi.Input[str] metric_type: The metric's type. This field can't be updated after creation. Valid values are `gauge`, `count`, `rate`, `distribution`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A list of tag keys that will be queryable for your metric.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: MetricTagConfigurationArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Provides a Datadog metric tag configuration resource. This can be used to modify tag configurations for metrics.
## Example Usage
```python
import pulumi
import pulumi_datadog as datadog
# Manage a tag configuration for a Datadog distribution metric with/without percentiles
example_dist_metric = datadog.MetricTagConfiguration("exampleDistMetric",
include_percentiles=False,
metric_name="example.terraform.dist.metric",
metric_type="distribution",
tags=[
"sport",
"datacenter",
])
# Manage tag configurations for a Datadog count or gauge metric
example_count_metric = datadog.MetricTagConfiguration("exampleCountMetric",
aggregations=[
datadog.MetricTagConfigurationAggregationArgs(
space="min",
time="avg",
),
datadog.MetricTagConfigurationAggregationArgs(
space="max",
time="avg",
),
],
metric_name="example.terraform.count.metric",
metric_type="count",
tags=[
"sport",
"datacenter",
])
```
:param str resource_name: The name of the resource.
:param MetricTagConfigurationArgs 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(MetricTagConfigurationArgs, 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,
aggregations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['MetricTagConfigurationAggregationArgs']]]]] = None,
include_percentiles: Optional[pulumi.Input[bool]] = None,
metric_name: Optional[pulumi.Input[str]] = None,
metric_type: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Sequence[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__ = MetricTagConfigurationArgs.__new__(MetricTagConfigurationArgs)
__props__.__dict__["aggregations"] = aggregations
__props__.__dict__["include_percentiles"] = include_percentiles
if metric_name is None and not opts.urn:
raise TypeError("Missing required property 'metric_name'")
__props__.__dict__["metric_name"] = metric_name
if metric_type is None and not opts.urn:
raise TypeError("Missing required property 'metric_type'")
__props__.__dict__["metric_type"] = metric_type
if tags is None and not opts.urn:
raise TypeError("Missing required property 'tags'")
__props__.__dict__["tags"] = tags
super(MetricTagConfiguration, __self__).__init__(
'datadog:index/metricTagConfiguration:MetricTagConfiguration',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
aggregations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['MetricTagConfigurationAggregationArgs']]]]] = None,
include_percentiles: Optional[pulumi.Input[bool]] = None,
metric_name: Optional[pulumi.Input[str]] = None,
metric_type: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None) -> 'MetricTagConfiguration':
"""
Get an existing MetricTagConfiguration 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[pulumi.InputType['MetricTagConfigurationAggregationArgs']]]] aggregations: A list of queryable aggregation combinations for a count, rate, or gauge metric. By default, count and rate metrics require the (time: sum, space: sum) aggregation and gauge metrics require the (time: avg, space: avg) aggregation. Can only be applied to metrics that have a `metric_type` of count, rate, or gauge.
:param pulumi.Input[bool] include_percentiles: Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have a `metric_type` of distribution.
:param pulumi.Input[str] metric_name: The metric name for this resource.
:param pulumi.Input[str] metric_type: The metric's type. This field can't be updated after creation. Valid values are `gauge`, `count`, `rate`, `distribution`.
:param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A list of tag keys that will be queryable for your metric.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _MetricTagConfigurationState.__new__(_MetricTagConfigurationState)
__props__.__dict__["aggregations"] = aggregations
__props__.__dict__["include_percentiles"] = include_percentiles
__props__.__dict__["metric_name"] = metric_name
__props__.__dict__["metric_type"] = metric_type
__props__.__dict__["tags"] = tags
return MetricTagConfiguration(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def aggregations(self) -> pulumi.Output[Sequence['outputs.MetricTagConfigurationAggregation']]:
"""
A list of queryable aggregation combinations for a count, rate, or gauge metric. By default, count and rate metrics require the (time: sum, space: sum) aggregation and gauge metrics require the (time: avg, space: avg) aggregation. Can only be applied to metrics that have a `metric_type` of count, rate, or gauge.
"""
return pulumi.get(self, "aggregations")
@property
@pulumi.getter(name="includePercentiles")
def include_percentiles(self) -> pulumi.Output[Optional[bool]]:
"""
Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have a `metric_type` of distribution.
"""
return pulumi.get(self, "include_percentiles")
@property
@pulumi.getter(name="metricName")
def metric_name(self) -> pulumi.Output[str]:
"""
The metric name for this resource.
"""
return pulumi.get(self, "metric_name")
@property
@pulumi.getter(name="metricType")
def metric_type(self) -> pulumi.Output[str]:
"""
The metric's type. This field can't be updated after creation. Valid values are `gauge`, `count`, `rate`, `distribution`.
"""
return pulumi.get(self, "metric_type")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Sequence[str]]:
"""
A list of tag keys that will be queryable for your metric.
"""
return pulumi.get(self, "tags")
| 51.085158 | 438 | 0.662841 | 2,380 | 20,996 | 5.681513 | 0.079412 | 0.077281 | 0.042449 | 0.04807 | 0.853646 | 0.839151 | 0.825248 | 0.803062 | 0.791895 | 0.783168 | 0 | 0.000063 | 0.24076 | 20,996 | 410 | 439 | 51.209756 | 0.84819 | 0.432606 | 0 | 0.647343 | 1 | 0 | 0.1305 | 0.046987 | 0 | 0 | 0 | 0 | 0 | 1 | 0.154589 | false | 0.004831 | 0.033816 | 0 | 0.280193 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
2719f18475a0d4d0420cd616231582424c3f51c6 | 125 | py | Python | src/populationStatistics/populationVariance.py | nickeita/su2021_is601_project2 | 4974a05517c7884751c5ece09177af2a7640f503 | [
"MIT"
] | null | null | null | src/populationStatistics/populationVariance.py | nickeita/su2021_is601_project2 | 4974a05517c7884751c5ece09177af2a7640f503 | [
"MIT"
] | null | null | null | src/populationStatistics/populationVariance.py | nickeita/su2021_is601_project2 | 4974a05517c7884751c5ece09177af2a7640f503 | [
"MIT"
] | null | null | null | from statsAuxiliary.varianceInput import variance_input
def population_variance(a):
return variance_input(a) / len(a)
| 17.857143 | 55 | 0.792 | 16 | 125 | 6 | 0.6875 | 0.270833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.136 | 125 | 6 | 56 | 20.833333 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
27303ec9a95ca8537c5b9701ba83d917bf2d79c3 | 134 | py | Python | core/signals.py | moshthepitt/probsc | 9b8cab206bb1c41238e36bd77f5e0573df4d8e2d | [
"MIT"
] | null | null | null | core/signals.py | moshthepitt/probsc | 9b8cab206bb1c41238e36bd77f5e0573df4d8e2d | [
"MIT"
] | null | null | null | core/signals.py | moshthepitt/probsc | 9b8cab206bb1c41238e36bd77f5e0573df4d8e2d | [
"MIT"
] | null | null | null | from users import signals as user_signals
from scorecards import signals as scorecard_signals
from kpis import signals as kpi_signals
| 33.5 | 51 | 0.865672 | 21 | 134 | 5.380952 | 0.47619 | 0.345133 | 0.39823 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134328 | 134 | 3 | 52 | 44.666667 | 0.974138 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
27fa60d3f2176f7bfc37420903227e7968463876 | 163 | py | Python | services/objectstore-manager/src/api/routers/__init__.py | WOGRA-AG/Os4ML | f86cd3144f68af800b93cd4c118fd8d5e8a3bda7 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 4 | 2022-01-26T14:22:21.000Z | 2022-02-03T08:34:46.000Z | services/objectstore-manager/src/api/routers/__init__.py | WOGRA-AG/Os4ML | f86cd3144f68af800b93cd4c118fd8d5e8a3bda7 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | services/objectstore-manager/src/api/routers/__init__.py | WOGRA-AG/Os4ML | f86cd3144f68af800b93cd4c118fd8d5e8a3bda7 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | from .bucket_router import router as bucket_router
from .object_router import router as object_router
from .objectstore_router import router as objectstore_router
| 40.75 | 60 | 0.871166 | 24 | 163 | 5.666667 | 0.291667 | 0.264706 | 0.397059 | 0.441176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.110429 | 163 | 3 | 61 | 54.333333 | 0.937931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
fdf714fc720341551e5beb021f58dc125ce7517a | 115 | py | Python | tests/conftest.py | tud-zih-energy/pymit | 773bab8c66254738eee3fb90bc02b4515d551150 | [
"BSD-3-Clause"
] | 4 | 2019-05-29T13:07:54.000Z | 2022-01-18T16:52:48.000Z | tests/conftest.py | tud-zih-energy/pymit | 773bab8c66254738eee3fb90bc02b4515d551150 | [
"BSD-3-Clause"
] | 2 | 2020-10-30T11:48:33.000Z | 2020-12-14T20:20:51.000Z | tests/conftest.py | tud-zih-energy/pymit | 773bab8c66254738eee3fb90bc02b4515d551150 | [
"BSD-3-Clause"
] | 1 | 2020-10-27T05:54:50.000Z | 2020-10-27T05:54:50.000Z | import pytest
import pymit.data
@pytest.fixture(scope='session')
def madelon():
return pymit.data.madelon()
| 12.777778 | 32 | 0.730435 | 15 | 115 | 5.6 | 0.666667 | 0.214286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.13913 | 115 | 8 | 33 | 14.375 | 0.848485 | 0 | 0 | 0 | 0 | 0 | 0.06087 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | true | 0 | 0.4 | 0.2 | 0.8 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
8bf13e3fd21e2dd8893427f669cd5e02558db4d4 | 1,227 | py | Python | tests/test_util.py | amrox/SlimStaty | d74a88a76df17f36d46f39f8948bb18acdff29df | [
"MIT"
] | null | null | null | tests/test_util.py | amrox/SlimStaty | d74a88a76df17f36d46f39f8948bb18acdff29df | [
"MIT"
] | null | null | null | tests/test_util.py | amrox/SlimStaty | d74a88a76df17f36d46f39f8948bb18acdff29df | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
from slimstaty import util
class TestCamelCasel(unittest.TestCase):
def test_camel_case(self):
assert util.camel_case("") == ""
assert util.camel_case("a") == "a"
assert util.camel_case("A") == "a"
assert util.camel_case("fooBar") == "fooBar"
assert util.camel_case("FooBar") == "fooBar"
assert util.camel_case("foo_bar") == "fooBar"
assert util.camel_case("foo-bar") == "fooBar"
assert util.camel_case("Foo-Bar") == "fooBar"
def test_camel_case_upper(self):
assert util.camel_case("", uppercase_first_letter=True) == ""
assert util.camel_case("a", uppercase_first_letter=True) == "A"
assert util.camel_case("A", uppercase_first_letter=True) == "A"
assert util.camel_case("fooBar", uppercase_first_letter=True) == "FooBar"
assert util.camel_case("FooBar", uppercase_first_letter=True) == "FooBar"
assert util.camel_case("foo_bar", uppercase_first_letter=True) == "FooBar"
assert util.camel_case("foo-bar", uppercase_first_letter=True) == "FooBar"
assert util.camel_case("Foo-Bar", uppercase_first_letter=True) == "FooBar"
| 39.580645 | 82 | 0.656072 | 158 | 1,227 | 4.848101 | 0.189873 | 0.211488 | 0.313316 | 0.396867 | 0.793734 | 0.733681 | 0.733681 | 0.733681 | 0.733681 | 0.733681 | 0 | 0.001007 | 0.190709 | 1,227 | 30 | 83 | 40.9 | 0.770393 | 0.03423 | 0 | 0 | 0 | 0 | 0.113271 | 0 | 0 | 0 | 0 | 0 | 0.761905 | 1 | 0.095238 | false | 0 | 0.095238 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
e30d9de8870f769f29de694a9fc15e01e27ecccb | 167 | py | Python | ixnetwork_restpy/assistants/sessions/__init__.py | rfrye-github/ixnetwork_restpy | 23eeb24b21568a23d3f31bbd72814ff55eb1af44 | [
"MIT"
] | 20 | 2019-05-07T01:59:14.000Z | 2022-02-11T05:24:47.000Z | ixnetwork_restpy/assistants/sessions/__init__.py | rfrye-github/ixnetwork_restpy | 23eeb24b21568a23d3f31bbd72814ff55eb1af44 | [
"MIT"
] | 60 | 2019-04-03T18:59:35.000Z | 2022-02-22T12:05:05.000Z | ixnetwork_restpy/assistants/sessions/__init__.py | rfrye-github/ixnetwork_restpy | 23eeb24b21568a23d3f31bbd72814ff55eb1af44 | [
"MIT"
] | 13 | 2019-05-20T10:48:31.000Z | 2021-10-06T07:45:44.000Z | from ixnetwork_restpy.assistants.statistics.statviewassistant import StatViewAssistant
from ixnetwork_restpy.assistants.ports.portmapassistant import PortMapAssistant
| 55.666667 | 86 | 0.916168 | 16 | 167 | 9.4375 | 0.5625 | 0.172185 | 0.251656 | 0.384106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047904 | 167 | 2 | 87 | 83.5 | 0.949686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 7 |
e3264315621c0a1e135c07fa78fc473f44c2c1d1 | 3,360 | py | Python | src/TowerDefence/Map/castle.py | sevashasla/TowerDefence | 73625d88cdb70d4c026d6f452604d193bc32c127 | [
"MIT"
] | null | null | null | src/TowerDefence/Map/castle.py | sevashasla/TowerDefence | 73625d88cdb70d4c026d6f452604d193bc32c127 | [
"MIT"
] | null | null | null | src/TowerDefence/Map/castle.py | sevashasla/TowerDefence | 73625d88cdb70d4c026d6f452604d193bc32c127 | [
"MIT"
] | null | null | null | import time
from ..Game.coordinates import Coordinates
import functools
<<<<<<< HEAD:Map/castle.py
=======
import sys
>>>>>>> checkpoint_3:src/TowerDefence/Map/castle.py
class Castle:
def __init__(self, castle_parameters):
self.health = castle_parameters["health"]
self.produce_money = castle_parameters["produce_money"]
self.cooldown = castle_parameters["cooldown"]
self.coordinates = Coordinates(castle_parameters["coordinates"][0],
castle_parameters["coordinates"][1])
self.width = castle_parameters["width"]
self.height = castle_parameters["height"]
self.last_money_income = 0
def send_money(self) -> int:
if time.time() - self.cooldown >= self.last_money_income:
self.last_money_income = time.time()
return self.produce_money
return 0
@property
def center(self):
return Coordinates(self.coordinates.x + self.width / 2, self.coordinates.y + self.height / 2)
<<<<<<< HEAD:Map/castle.py
def belongs_to_castle(self, coordinates) -> bool:
return abs(coordinates.x - (self.coordinates.x + self.width / 2)) <= self.width / 2 and \
abs(coordinates.y - (self.coordinates.y + self.height / 2)) <= self.height / 2
def get_health(self) -> int:
return self.health
def decrease_health(self, damage) -> None:
self.health -= damage
def __str__(self):
return f'"Castle": {{"name": "Castle", "health": {self.health}, ' + \
f'"coordinates": {{ "x": {self.coordinates.x}, "y":{self.coordinates.y}}}}}'
import time
from ..Game.coordinates import Coordinates
import functools
class Castle:
def __init__(self, castle_parameters):
self.health = castle_parameters["health"]
self.produce_money = castle_parameters["produce_money"]
self.cooldown = castle_parameters["cooldown"]
self.coordinates = Coordinates(castle_parameters["coordinates"][0],
castle_parameters["coordinates"][1])
self.width = castle_parameters["width"]
self.height = castle_parameters["height"]
self.last_money_income = 0
def send_money(self) -> int:
if time.time() - self.cooldown >= self.last_money_income:
self.last_money_income = time.time()
return self.produce_money
return 0
@property
def center(self):
return Coordinates(self.coordinates.x + self.width / 2, self.coordinates.y + self.height / 2)
=======
>>>>>>> checkpoint_3:src/TowerDefence/Map/castle.py
def belongs_to_castle(self, coordinates) -> bool:
return abs(coordinates.x - (self.coordinates.x + self.width / 2)) <= self.width / 2 and \
abs(coordinates.y - (self.coordinates.y + self.height / 2)) <= self.height / 2
def get_health(self) -> int:
return max(self.health, 0)
def decrease_health(self, damage) -> None:
self.health -= damage
def __str__(self):
return f'"Castle": {{"name": "Castle", "health": {self.health}, ' + \
f'"coordinates": {{ "x": {self.coordinates.x}, "y":{self.coordinates.y}}}}}'
<<<<<<< HEAD:Map/castle.py
=======
def dump(self, file=sys.stdout):
file.write(str(self))
>>>>>>> checkpoint_3:src/TowerDefence/Map/castle.py
| 35 | 101 | 0.622024 | 395 | 3,360 | 5.131646 | 0.141772 | 0.126295 | 0.063148 | 0.056241 | 0.958066 | 0.947213 | 0.947213 | 0.897879 | 0.897879 | 0.837691 | 0 | 0.009284 | 0.230655 | 3,360 | 95 | 102 | 35.368421 | 0.774855 | 0 | 0 | 0.932432 | 0 | 0.027027 | 0.111905 | 0.029167 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.094595 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
e32b0f91b5da35705e32f96bac445faae6737f43 | 225 | py | Python | mns/compat.py | suAdminWen/aliyun-mns | 3a4bd18ea72ef5a1bc88237f236b6b9383112a57 | [
"MIT"
] | 17 | 2017-07-24T08:49:13.000Z | 2020-08-05T13:23:41.000Z | mns/compat.py | suAdminWen/aliyun-mns | 3a4bd18ea72ef5a1bc88237f236b6b9383112a57 | [
"MIT"
] | null | null | null | mns/compat.py | suAdminWen/aliyun-mns | 3a4bd18ea72ef5a1bc88237f236b6b9383112a57 | [
"MIT"
] | 14 | 2017-08-25T06:39:57.000Z | 2020-07-29T02:32:03.000Z |
try:
from httplib import HTTPConnection, BadStatusLine, HTTPSConnection
import ConfigParser
except:
from http.client import HTTPConnection, BadStatusLine, HTTPSConnection
import configparser as ConfigParser
| 25 | 74 | 0.8 | 21 | 225 | 8.571429 | 0.571429 | 0.222222 | 0.366667 | 0.533333 | 0.733333 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0 | 0.168889 | 225 | 8 | 75 | 28.125 | 0.962567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 9 |
e354836078b6e5ee999a77e1819a7677d852e9dc | 198 | py | Python | python/hail/plot/__init__.py | maccum/hail | e9e8a40bb4f0c2337e5088c26186a4da4948bed2 | [
"MIT"
] | null | null | null | python/hail/plot/__init__.py | maccum/hail | e9e8a40bb4f0c2337e5088c26186a4da4948bed2 | [
"MIT"
] | 1 | 2022-03-28T19:35:55.000Z | 2022-03-28T19:35:55.000Z | python/hail/plot/__init__.py | maccum/hail | e9e8a40bb4f0c2337e5088c26186a4da4948bed2 | [
"MIT"
] | null | null | null | from .plots import histogram, cumulative_histogram, scatter, qq, manhattan
__all__ = ['histogram',
'cumulative_histogram',
'scatter',
'qq',
'manhattan']
| 24.75 | 74 | 0.585859 | 16 | 198 | 6.875 | 0.5625 | 0.345455 | 0.509091 | 0.636364 | 0.836364 | 0.836364 | 0 | 0 | 0 | 0 | 0 | 0 | 0.30303 | 198 | 7 | 75 | 28.285714 | 0.797101 | 0 | 0 | 0 | 0 | 0 | 0.237374 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e3559a81ebfb73ee52a8cc1a94352b80d8e1f4f0 | 30,334 | py | Python | pw_build_mcuxpresso/py/tests/components_test.py | curtin-space/pigweed | fe2e1743e03fabd2676f01d9de0ac9d34a426076 | [
"Apache-2.0"
] | 86 | 2021-03-09T23:49:40.000Z | 2022-03-30T08:14:51.000Z | pw_build_mcuxpresso/py/tests/components_test.py | curtin-space/pigweed | fe2e1743e03fabd2676f01d9de0ac9d34a426076 | [
"Apache-2.0"
] | 4 | 2021-07-27T20:32:03.000Z | 2022-03-08T10:39:07.000Z | pw_build_mcuxpresso/py/tests/components_test.py | curtin-space/pigweed | fe2e1743e03fabd2676f01d9de0ac9d34a426076 | [
"Apache-2.0"
] | 22 | 2021-03-11T15:15:47.000Z | 2022-02-09T06:16:36.000Z | # Copyright 2021 The Pigweed Authors
#
# 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
#
# https://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.
"""Components Tests."""
import pathlib
import unittest
import xml.etree.ElementTree
from pw_build_mcuxpresso import components
class GetComponentTest(unittest.TestCase):
"""get_component tests."""
def test_without_basepath(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
(component, base_path) = components.get_component(root, 'test')
self.assertIsInstance(component, xml.etree.ElementTree.Element)
self.assertEqual(component.tag, 'component')
self.assertEqual(base_path, None)
def test_with_basepath(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test" package_base_path="test">
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
(component, base_path) = components.get_component(root, 'test')
self.assertIsInstance(component, xml.etree.ElementTree.Element)
self.assertEqual(component.tag, 'component')
self.assertEqual(base_path, pathlib.Path('test'))
def test_component_not_found(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="other">
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
(component, base_path) = components.get_component(root, 'test')
self.assertEqual(component, None)
self.assertEqual(base_path, None)
class ParseDefinesTest(unittest.TestCase):
"""parse_defines tests."""
def test_parse_defines(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<defines>
<define name="TEST_WITH_VALUE" value="1"/>
<define name="TEST_WITHOUT_VALUE"/>
</defines>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
defines = components.parse_defines(root, 'test')
self.assertEqual(defines, ['TEST_WITH_VALUE=1', 'TEST_WITHOUT_VALUE'])
def test_no_defines(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
defines = components.parse_defines(root, 'test')
self.assertEqual(defines, [])
class ParseIncludePathsTest(unittest.TestCase):
"""parse_include_paths tests."""
def test_parse_include_paths(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<include_paths>
<include_path relative_path="example" type="c_include"/>
<include_path relative_path="asm" type="asm_include"/>
</include_paths>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
include_paths = components.parse_include_paths(root, 'test')
self.assertEqual(include_paths,
[pathlib.Path('example'),
pathlib.Path('asm')])
def test_with_base_path(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test" package_base_path="src">
<include_paths>
<include_path relative_path="example" type="c_include"/>
<include_path relative_path="asm" type="asm_include"/>
</include_paths>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
include_paths = components.parse_include_paths(root, 'test')
self.assertEqual(
include_paths,
[pathlib.Path('src/example'),
pathlib.Path('src/asm')])
def test_unknown_type(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test" package_base_path="src">
<include_paths>
<include_path relative_path="rust" type="rust_include"/>
</include_paths>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
include_paths = components.parse_include_paths(root, 'test')
self.assertEqual(include_paths, [])
def test_no_include_paths(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
include_paths = components.parse_include_paths(root, 'test')
self.assertEqual(include_paths, [])
class ParseHeadersTest(unittest.TestCase):
"""parse_headers tests."""
def test_parse_headers(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<source relative_path="include" type="c_include">
<files mask="test.h"/>
<files mask="test_types.h"/>
</source>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
headers = components.parse_headers(root, 'test')
self.assertEqual(headers, [
pathlib.Path('include/test.h'),
pathlib.Path('include/test_types.h')
])
def test_with_base_path(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test" package_base_path="src">
<source relative_path="include" type="c_include">
<files mask="test.h"/>
<files mask="test_types.h"/>
</source>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
headers = components.parse_headers(root, 'test')
self.assertEqual(headers, [
pathlib.Path('src/include/test.h'),
pathlib.Path('src/include/test_types.h')
])
def test_multiple_sets(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<source relative_path="include" type="c_include">
<files mask="test.h"/>
</source>
<source relative_path="internal" type="c_include">
<files mask="test_types.h"/>
</source>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
headers = components.parse_headers(root, 'test')
self.assertEqual(headers, [
pathlib.Path('include/test.h'),
pathlib.Path('internal/test_types.h')
])
def test_no_headers(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
headers = components.parse_headers(root, 'test')
self.assertEqual(headers, [])
class ParseSourcesTest(unittest.TestCase):
"""parse_sources tests."""
def test_parse_sources(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<source relative_path="src" type="src">
<files mask="main.cc"/>
<files mask="test.cc"/>
</source>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
sources = components.parse_sources(root, 'test')
self.assertEqual(
sources,
[pathlib.Path('src/main.cc'),
pathlib.Path('src/test.cc')])
def test_with_base_path(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test" package_base_path="src">
<source relative_path="app" type="src">
<files mask="main.cc"/>
<files mask="test.cc"/>
</source>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
sources = components.parse_sources(root, 'test')
self.assertEqual(
sources,
[pathlib.Path('src/app/main.cc'),
pathlib.Path('src/app/test.cc')])
def test_multiple_sets(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<source relative_path="shared" type="src">
<files mask="test.cc"/>
</source>
<source relative_path="lib" type="src_c">
<files mask="test.c"/>
</source>
<source relative_path="app" type="src_cpp">
<files mask="main.cc"/>
</source>
<source relative_path="startup" type="asm_include">
<files mask="boot.s"/>
</source>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
sources = components.parse_sources(root, 'test')
self.assertEqual(sources, [
pathlib.Path('shared/test.cc'),
pathlib.Path('lib/test.c'),
pathlib.Path('app/main.cc'),
pathlib.Path('startup/boot.s')
])
def test_unknown_type(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<source relative_path="src" type="rust">
<files mask="test.rs"/>
</source>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
sources = components.parse_sources(root, 'test')
self.assertEqual(sources, [])
def test_no_sources(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
sources = components.parse_sources(root, 'test')
self.assertEqual(sources, [])
class ParseLibsTest(unittest.TestCase):
"""parse_libs tests."""
def test_parse_libs(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<source relative_path="gcc" type="lib">
<files mask="libtest.a"/>
<files mask="libtest_arm.a"/>
</source>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
libs = components.parse_libs(root, 'test')
self.assertEqual(
libs,
[pathlib.Path('gcc/libtest.a'),
pathlib.Path('gcc/libtest_arm.a')])
def test_with_base_path(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test" package_base_path="src">
<source relative_path="gcc" type="lib">
<files mask="libtest.a"/>
<files mask="libtest_arm.a"/>
</source>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
libs = components.parse_libs(root, 'test')
self.assertEqual(libs, [
pathlib.Path('src/gcc/libtest.a'),
pathlib.Path('src/gcc/libtest_arm.a')
])
def test_multiple_sets(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<source relative_path="gcc" type="lib">
<files mask="libtest.a"/>
</source>
<source relative_path="arm" type="lib">
<files mask="libtest_arm.a"/>
</source>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
libs = components.parse_libs(root, 'test')
self.assertEqual(
libs,
[pathlib.Path('gcc/libtest.a'),
pathlib.Path('arm/libtest_arm.a')])
def test_no_libs(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
libs = components.parse_libs(root, 'test')
self.assertEqual(libs, [])
class ParseDependenciesTest(unittest.TestCase):
"""parse_dependencies tests."""
def test_component_dependency(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<component_dependency value="foo"/>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
dependencies = components.parse_dependencies(root, 'test')
self.assertEqual(dependencies, ['foo'])
def test_all(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<all>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</all>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
dependencies = components.parse_dependencies(root, 'test')
self.assertEqual(dependencies, ['foo', 'bar', 'baz'])
def test_any_of_ignored(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<any_of>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</any_of>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
dependencies = components.parse_dependencies(root, 'test')
self.assertEqual(dependencies, [])
def test_any_of_inside_all_ignored(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<all>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
<any_of>
<all>
<component_dependency value="frodo"/>
<component_dependency value="bilbo"/>
</all>
<component_dependency value="gandalf"/>
</any_of>
</all>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
dependencies = components.parse_dependencies(root, 'test')
self.assertEqual(dependencies, ['foo', 'bar', 'baz'])
def test_no_dependencies(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
dependencies = components.parse_dependencies(root, 'test')
self.assertEqual(dependencies, [])
class CheckDependenciesTest(unittest.TestCase):
"""check_dependencies tests."""
def test_any_of_satisfied(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<any_of>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</any_of>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
satisfied = components.check_dependencies(root,
'test', ['test', 'foo'],
exclude=None)
self.assertEqual(satisfied, True)
def test_any_of_not_satisfied(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<any_of>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</any_of>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
satisfied = components.check_dependencies(root,
'test', ['test'],
exclude=None)
self.assertEqual(satisfied, False)
def test_any_of_satisfied_by_exclude(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<any_of>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</any_of>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
satisfied = components.check_dependencies(root,
'test', ['test'],
exclude=['foo'])
self.assertEqual(satisfied, True)
def test_any_of_all_satisfied(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<any_of>
<all>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</all>
</any_of>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
satisfied = components.check_dependencies(
root, 'test', ['test', 'foo', 'bar', 'baz'], exclude=None)
self.assertEqual(satisfied, True)
def test_any_of_all_not_satisfied(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<any_of>
<all>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</all>
</any_of>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
satisfied = components.check_dependencies(root,
'test',
['test', 'foo', 'bar'],
exclude=None)
self.assertEqual(satisfied, False)
def test_any_of_all_satisfied_by_exclude(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<any_of>
<all>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</all>
</any_of>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
satisfied = components.check_dependencies(root,
'test',
['test', 'foo', 'bar'],
exclude=['baz'])
self.assertEqual(satisfied, True)
def test_any_of_all_or_one_satisfied(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<any_of>
<all>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</all>
<component_dependency value="frodo"/>
</any_of>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
satisfied = components.check_dependencies(root,
'test', ['test', 'frodo'],
exclude=None)
self.assertEqual(satisfied, True)
def test_any_of_all_or_one_not_satisfied(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<any_of>
<all>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</all>
<component_dependency value="frodo"/>
</any_of>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
satisfied = components.check_dependencies(root,
'test', ['test'],
exclude=None)
self.assertEqual(satisfied, False)
def test_any_of_all_or_one_satisfied_by_exclude(self):
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<any_of>
<all>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<component_dependency value="baz"/>
</all>
<component_dependency value="frodo"/>
</any_of>
</dependencies>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
satisfied = components.check_dependencies(root,
'test', ['test'],
exclude=['frodo'])
self.assertEqual(satisfied, True)
class CreateProjectTest(unittest.TestCase):
"""create_project tests."""
def test_create_project(self):
"""test creating a project."""
test_manifest_xml = '''
<manifest>
<components>
<component id="test">
<dependencies>
<component_dependency value="foo"/>
<component_dependency value="bar"/>
<any_of>
<component_dependency value="baz"/>
</any_of>
</dependencies>
</component>
<component id="foo" package_base_path="foo">
<defines>
<define name="FOO"/>
</defines>
<source relative_path="include" type="c_include">
<files mask="foo.h"/>
</source>
<source relative_path="src" type="src">
<files mask="foo.cc"/>
</source>
<include_paths>
<include_path relative_path="include" type="c_include"/>
</include_paths>
</component>
<component id="bar" package_base_path="bar">
<defines>
<define name="BAR"/>
</defines>
<source relative_path="include" type="c_include">
<files mask="bar.h"/>
</source>
<source relative_path="src" type="src">
<files mask="bar.cc"/>
</source>
<include_paths>
<include_path relative_path="include" type="c_include"/>
</include_paths>
</component>
<!-- baz should not be included in the output -->
<component id="baz" package_base_path="baz">
<defines>
<define name="BAZ"/>
</defines>
<source relative_path="include" type="c_include">
<files mask="baz.h"/>
</source>
<source relative_path="src" type="src">
<files mask="baz.cc"/>
</source>
<include_paths>
<include_path relative_path="include" type="c_include"/>
</include_paths>
</component>
<component id="frodo" package_base_path="frodo">
<dependencies>
<component_dependency value="bilbo"/>
</dependencies>
<defines>
<define name="FRODO"/>
</defines>
<source relative_path="include" type="c_include">
<files mask="frodo.h"/>
</source>
<source relative_path="src" type="src">
<files mask="frodo.cc"/>
</source>
<source relative_path="./" type="lib">
<files mask="libonering.a"/>
</source>
<include_paths>
<include_path relative_path="include" type="c_include"/>
</include_paths>
</component>
<!-- bilbo should be excluded from the project -->
<component id="bilbo" package_base_path="bilbo">
<defines>
<define name="BILBO"/>
</defines>
<source relative_path="include" type="c_include">
<files mask="bilbo.h"/>
</source>
<source relative_path="src" type="src">
<files mask="bilbo.cc"/>
</source>
<include_paths>
<include_path relative_path="include" type="c_include"/>
</include_paths>
</component>
</components>
</manifest>
'''
root = xml.etree.ElementTree.fromstring(test_manifest_xml)
(component_ids, defines, include_dirs, headers, sources, libs) = \
components.create_project(root, ['test', 'frodo'],
exclude=['bilbo'])
self.assertEqual(component_ids, ['test', 'frodo', 'foo', 'bar'])
self.assertEqual(defines, ['FRODO', 'FOO', 'BAR'])
self.assertEqual(include_dirs, [
pathlib.Path('frodo/include'),
pathlib.Path('foo/include'),
pathlib.Path('bar/include')
])
self.assertEqual(headers, [
pathlib.Path('frodo/include/frodo.h'),
pathlib.Path('foo/include/foo.h'),
pathlib.Path('bar/include/bar.h')
])
self.assertEqual(sources, [
pathlib.Path('frodo/src/frodo.cc'),
pathlib.Path('foo/src/foo.cc'),
pathlib.Path('bar/src/bar.cc')
])
self.assertEqual(libs, [pathlib.Path('frodo/libonering.a')])
if __name__ == '__main__':
unittest.main()
| 33.297475 | 79 | 0.511736 | 2,608 | 30,334 | 5.745782 | 0.067485 | 0.059259 | 0.074074 | 0.05679 | 0.821688 | 0.78979 | 0.780981 | 0.780981 | 0.772105 | 0.769236 | 0 | 0.000522 | 0.368234 | 30,334 | 910 | 80 | 33.334066 | 0.781413 | 0.026505 | 0 | 0.827889 | 0 | 0 | 0.577456 | 0.067103 | 0 | 0 | 0 | 0 | 0.059045 | 1 | 0.046482 | false | 0 | 0.005025 | 0 | 0.062814 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8b686f3f9406375b1c7ff584fa9193e52fe7033b | 2,835 | py | Python | operators/quickmocap_Op_ImportNumpyMocap.py | vltmedia/QuickMocap-BlenderAddon | ef152a87a8738d505555db2d3ec8ff851847983b | [
"Apache-2.0"
] | 17 | 2021-07-25T12:46:25.000Z | 2022-03-23T05:16:36.000Z | operators/quickmocap_Op_ImportNumpyMocap.py | vltmedia/QuickMocap-BlenderAddon | ef152a87a8738d505555db2d3ec8ff851847983b | [
"Apache-2.0"
] | 4 | 2021-08-04T09:14:15.000Z | 2022-03-08T11:50:13.000Z | operators/quickmocap_Op_ImportNumpyMocap.py | vltmedia/QuickMocap-BlenderAddon | ef152a87a8738d505555db2d3ec8ff851847983b | [
"Apache-2.0"
] | 3 | 2021-12-09T21:58:57.000Z | 2022-03-31T06:21:23.000Z | import bpy
from helpers.smpl_import import SMPL_Importer
from helpers.cleanposekeys import CleanPoseKeys
class ImportNumpyMocap(bpy.types.Operator):
bl_idname = "wm.quickmocap_importnumpymocap"
bl_label = "Import Numpy Mocap"
# @classmethod
# def poll(cls, context):
# ob = context.active_object
# return ob and ob.type == 'MESH'
def execute(self, context):
scene = context.scene
quickmocap_tool = scene.quickmocap_tool
SMPL_Importer_ = SMPL_Importer(context)
# # Process pose file
poses_processed = SMPL_Importer_.process_poses(
input_path=quickmocap_tool.input_path.replace("\\", "/").replace('"', ""),
gender=quickmocap_tool.enum_gender,
fps_source=quickmocap_tool.fps_source,
fps_target=quickmocap_tool.fps_target,
start_origin=quickmocap_tool.start_origin,
person_id=quickmocap_tool.person_id,
current_context=context,
rotate_y=quickmocap_tool.rotate_y,
rotate_neg=quickmocap_tool.rotate_neg,
)
# Report "Hello World" to the Info Area
# print("ExportUSD")
return {'FINISHED'}
class ImportNumpyMocap_Clean(bpy.types.Operator):
bl_idname = "wm.quickmocap_importnumpymocapclean"
bl_label = "Import Numpy Mocap & Clean"
# @classmethod
# def poll(cls, context):
# ob = context.active_object
# return ob and ob.type == 'MESH'
def execute(self, context):
scene = context.scene
quickmocap_tool = scene.quickmocap_tool
SMPL_Importer_ = SMPL_Importer(context)
# # Process pose file
poses_processed = SMPL_Importer_.process_poses(
input_path=quickmocap_tool.input_path.replace("\\", "/").replace('"', ""),
gender=quickmocap_tool.enum_gender,
fps_source=quickmocap_tool.fps_source,
fps_target=quickmocap_tool.fps_target,
start_origin=quickmocap_tool.start_origin,
person_id=quickmocap_tool.person_id,
current_context=context,
rotate_y=quickmocap_tool.rotate_y,
rotate_neg=quickmocap_tool.rotate_neg,
)
cleanposekeys = CleanPoseKeys(clean_threshold = quickmocap_tool.clean_threshold, use_channels = quickmocap_tool.use_channels,smooth_iterations = quickmocap_tool.smooth_iterations,all_bones = quickmocap_tool.all_bones, target_bone = quickmocap_tool.target_bone, context = context)
# Report "Hello World" to the Info Area
# print("ExportUSD")
return {'FINISHED'}
| 38.835616 | 288 | 0.6194 | 288 | 2,835 | 5.777778 | 0.260417 | 0.210337 | 0.045673 | 0.021635 | 0.754808 | 0.727163 | 0.727163 | 0.683894 | 0.683894 | 0.683894 | 0 | 0 | 0.300176 | 2,835 | 72 | 289 | 39.375 | 0.83871 | 0.127337 | 0 | 0.714286 | 0 | 0 | 0.055789 | 0.027265 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.309524 | 0 | 0.547619 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
8bb1b52ba46e6a08a2fc97808c02a7c60c8d8e83 | 3,152 | py | Python | phasor/electronics/models/vendor_opamps.py | mccullerlp/OpenLoop | fe86dc6dec3740d4b6be6b88d8eef8566e2aa78d | [
"Apache-2.0"
] | 5 | 2018-02-28T00:43:37.000Z | 2020-01-21T11:39:15.000Z | phasor/electronics/models/vendor_opamps.py | mccullerlp/OpenLoop | fe86dc6dec3740d4b6be6b88d8eef8566e2aa78d | [
"Apache-2.0"
] | 1 | 2019-09-07T23:15:43.000Z | 2019-09-07T23:15:43.000Z | phasor/electronics/models/vendor_opamps.py | mccullerlp/OpenLoop | fe86dc6dec3740d4b6be6b88d8eef8566e2aa78d | [
"Apache-2.0"
] | 1 | 2020-08-21T04:42:09.000Z | 2020-08-21T04:42:09.000Z | # -*- coding: utf-8 -*-
"""
"""
from __future__ import division, print_function, unicode_literals
#import declarative as decl
#from phasor import electronics
from .. import opamps
class Ope_27(opamps.ImperfectOpAmp):
def V_spectrum_one_sided(self, F):
return (3e-9)**2 * abs(2.7j / F + 1)
def I_spectrum_one_sided(self, F):
return (0.4e-12)**2 * abs(140j / F + 1)
def gain_by_freq(self, F):
return 10**(6) * (1 / (1 - F/8j) ) * self.symbols.math.exp(- self.symbols.i2pi * F / (4 * 10e6))
class Ope_827(opamps.ImperfectOpAmp):
def V_spectrum_one_sided(self, F):
return (3.8e-9)**2 * abs(((20/3.8)**2 - 1) * 1j / F + 1)
def I_spectrum_one_sided(self, F):
return (2.2e-15)**2 * abs(1e3j / F + 1)
def gain_by_freq(self, F):
return 10**(6) * (1 / (1 - F/20j) ) * self.symbols.math.exp(- self.symbols.i2pi * F / (360/90 * 100e6))
class Ope_209(opamps.ImperfectOpAmp):
def V_spectrum_one_sided(self, F):
return (2.2e-9)**2 * abs(((3.3/2.2)**2 - 1) * 1j / F + 1)
def I_spectrum_one_sided(self, F):
return (.5e-12)**2 * abs(((1.5/.5)**2 - 1) * 1j / F + 1)
def gain_by_freq(self, F):
return 10**(130/20) * (1 / (1 - F/10j) ) * self.symbols.math.exp(- self.symbols.i2pi * F / (360/90 * 100e6))
class TLE2027(opamps.ImperfectOpAmp):
def V_spectrum_one_sided(self, F):
return (2.5e-9)**2 * abs(((3.3/2.5)**2 - 1) * 10j / F + 1)
def I_spectrum_one_sided(self, F):
return (0.8e-12)**2 * abs(((10/.8)**2 - 1) * 10j / F + 1)
def gain_by_freq(self, F):
return 10**(6) * (1 / (1 - F/8j) ) * self.symbols.math.exp(- self.symbols.i2pi * F / (4 * 10e6))
class AD8675(opamps.ImperfectOpAmp):
def V_spectrum_one_sided(self, F):
return (2.8e-9)**2 * abs(((6.5/2.8)**2 - 1) * 1j / F + 1)
def I_spectrum_one_sided(self, F):
return (.3e-12)**2 * abs(10j / F + 1)
def gain_by_freq(self, F):
return 10**(6) * (1 / (1 - F/10j) ) * self.symbols.math.exp(- self.symbols.i2pi * (F / (360/90 * 30e6)))
class LMH6609(opamps.ImperfectOpAmp):
def V_spectrum_one_sided(self, F):
return (3.2e-9)**2 * abs(1e3j / F + 1)
def I_spectrum_one_sided(self, F):
return (1.5e-12)**2 * abs(10e3j / F + 1)
def gain_by_freq(self, F):
return 10**(70/20) * (1 / (1 - F/100e3j) ) * self.symbols.math.exp(- self.symbols.i2pi * ((F / (360/90 * 300e6))))
class AD743(opamps.ImperfectOpAmp):
def V_spectrum_one_sided(self, F):
return (2.9e-9)**2 # * abs(1e3j / F + 1)
def I_spectrum_one_sided(self, F):
return (6.9e-15)**2 # * abs(10e3j / F + 1)
def gain_by_freq(self, F):
return 10**(90/20) * (1 / (1 - F/100e3j) ) * self.symbols.math.exp(- self.symbols.i2pi * ((F / (360/90 * 20e6))))
class AD8429(opamps.ImperfectInAmp):
def V_spectrum_one_sided(self, F):
return (1e-9)**2
def Vout_spectrum_one_sided(self, F):
return (45e-9)**2
def I_spectrum_one_sided(self, F):
return (1.8e-12)**2 * abs(15**2 * 1j / F + 1)
def gain_by_freq(self, F):
raise NotImplementedError()
| 28.917431 | 122 | 0.575508 | 528 | 3,152 | 3.291667 | 0.164773 | 0.071922 | 0.151899 | 0.195627 | 0.781933 | 0.781933 | 0.747411 | 0.745109 | 0.724396 | 0.6916 | 0 | 0.123912 | 0.234454 | 3,152 | 108 | 123 | 29.185185 | 0.596353 | 0.037437 | 0 | 0.433333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.416667 | false | 0 | 0.033333 | 0.4 | 0.983333 | 0.016667 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 |
4738334d3cd2c8f5fda68ac8673f3ea2d9977738 | 11,726 | py | Python | myproject/cookie_app/migrations/0030_historicalinitial_borr_list_page_historicalmore_data_page.py | nathanielbecker/business-contacter-django-app | 369270f46087b7b593f5b4cff6bddd89707cdc62 | [
"Apache-2.0"
] | null | null | null | myproject/cookie_app/migrations/0030_historicalinitial_borr_list_page_historicalmore_data_page.py | nathanielbecker/business-contacter-django-app | 369270f46087b7b593f5b4cff6bddd89707cdc62 | [
"Apache-2.0"
] | null | null | null | myproject/cookie_app/migrations/0030_historicalinitial_borr_list_page_historicalmore_data_page.py | nathanielbecker/business-contacter-django-app | 369270f46087b7b593f5b4cff6bddd89707cdc62 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('cookie_app', '0029_auto_20150130_0936'),
]
operations = [
migrations.CreateModel(
name='HistoricalInitial_Borr_List_Page',
fields=[
('id', models.IntegerField(verbose_name='ID', db_index=True, auto_created=True, blank=True)),
('AtoZ_ID', models.CharField(default='0000000', max_length=150, null=True, verbose_name='id')),
('BankName', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Lender Name')),
('Business_Name', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Company Name')),
('checkins', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Facebook Checkins')),
('Est_Rent_Annual_Expense', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Estimated Rent')),
('executivedetails', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Executive Name')),
('final_phone', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Validated Phone')),
('first_loan_date', models.CharField(default='0000000', max_length=150, null=True, verbose_name='First Loan Date')),
('Franchise', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Franchise')),
('InitialInterestRate', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Interest Rate')),
('last_loan_date', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Last Loan Date')),
('last_loan_end', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Last Loan End')),
('likes', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Facebook Likes')),
('link', models.URLField(default='0000000', max_length=150, null=True, verbose_name='Facebook Link')),
('final_employees', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Employees (est.)')),
('Main_Line_of_Business', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Industry')),
('Manufacturer', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Manufacturer')),
('NaicsDescription', models.CharField(default='0000000', max_length=150, null=True, verbose_name='NAICS Description')),
('num_loans', models.CharField(default='0000000', max_length=150, null=True, verbose_name='SBA Loans (2007+)')),
('ownsrentsindicator', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Own/Rent')),
('Physical_City', models.CharField(default='0000000', max_length=150, null=True, verbose_name='City')),
('Physical_State', models.CharField(default='0000000', max_length=150, null=True, verbose_name='State')),
('Physical_ZIP', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Zip')),
('rating', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Yelp Rating')),
('Revenue_Yr', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Revenue (est.)')),
('review_count', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Yelp Review Count')),
('Square_Footage', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Square Footage')),
('street3', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Address')),
('sum_loans', models.CharField(default='0000000', max_length=150, null=True, verbose_name='SBA Loan vol. (2007+)')),
('Website', models.URLField(default='0000000', max_length=150, null=True, verbose_name='Website')),
('X2013_Employees', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Employees (2013 est.)')),
('X2013_Revenue_Yr', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Revenue (2013 est.)')),
('final_yr_incorporated', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Year of Incorporation')),
('url', models.URLField(default='0000000', max_length=150, null=True, verbose_name='Yelp Link')),
('centile', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Loan Likelihood Score')),
('Created_id', models.IntegerField(db_index=True, null=True, blank=True)),
('FindMoreData', models.BooleanField(default=False, verbose_name='Find More Information')),
('FollowUp', models.BooleanField(default=False, verbose_name='Contact Business')),
('history_id', models.AutoField(serialize=False, primary_key=True)),
('history_date', models.DateTimeField()),
('history_type', models.CharField(max_length=1, choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')])),
('history_user', models.ForeignKey(on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
'verbose_name': 'historical initial_ borr_ list_ page',
},
bases=(models.Model,),
),
migrations.CreateModel(
name='HistoricalMore_Data_Page',
fields=[
('id', models.IntegerField(verbose_name='ID', db_index=True, auto_created=True, blank=True)),
('FindMoreData', models.BooleanField(default=False, verbose_name='Find More Information')),
('FollowUp', models.BooleanField(default=False, verbose_name='Contact Business')),
('AtoZ_ID', models.CharField(default='0000000', max_length=150, null=True, verbose_name='id')),
('BankName', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Lender Name')),
('Business_Name', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Company Name')),
('checkins', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Facebook Checkins')),
('Est_Rent_Annual_Expense', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Estimated Rent')),
('executivedetails', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Executive Name')),
('final_phone', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Validated Phone')),
('first_loan_date', models.CharField(default='0000000', max_length=150, null=True, verbose_name='First Loan Date')),
('Franchise', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Franchise')),
('InitialInterestRate', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Interest Rate')),
('last_loan_date', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Last Loan Date')),
('last_loan_end', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Last Loan End')),
('likes', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Facebook Likes')),
('link', models.URLField(default='0000000', max_length=150, null=True, verbose_name='Facebook Link')),
('final_employees', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Employees (est.)')),
('Main_Line_of_Business', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Industry')),
('Manufacturer', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Manufacturer')),
('NaicsDescription', models.CharField(default='0000000', max_length=150, null=True, verbose_name='NAICS Description')),
('num_loans', models.CharField(default='0000000', max_length=150, null=True, verbose_name='SBA Loans (2007+)')),
('ownsrentsindicator', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Own/Rent')),
('Physical_City', models.CharField(default='0000000', max_length=150, null=True, verbose_name='City')),
('Physical_State', models.CharField(default='0000000', max_length=150, null=True, verbose_name='State')),
('Physical_ZIP', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Zip')),
('rating', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Yelp Rating')),
('Revenue_Yr', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Revenue (est.)')),
('review_count', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Yelp Review Count')),
('Square_Footage', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Square Footage')),
('street3', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Address')),
('sum_loans', models.CharField(default='0000000', max_length=150, null=True, verbose_name='SBA Loan vol. (2007+)')),
('Website', models.URLField(default='0000000', max_length=150, null=True, verbose_name='Website')),
('X2013_Employees', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Employees (2013 est.)')),
('X2013_Revenue_Yr', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Revenue (2013 est.)')),
('final_yr_incorporated', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Year of Incorporation')),
('url', models.URLField(default='0000000', max_length=150, null=True, verbose_name='Yelp Link')),
('centile', models.CharField(default='0000000', max_length=150, null=True, verbose_name='Loan Likelihood Score')),
('Created_id', models.IntegerField(db_index=True, null=True, blank=True)),
('history_id', models.AutoField(serialize=False, primary_key=True)),
('history_date', models.DateTimeField()),
('history_type', models.CharField(max_length=1, choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')])),
('history_user', models.ForeignKey(on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, null=True)),
],
options={
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
'verbose_name': 'historical more_ data_ page',
},
bases=(models.Model,),
),
]
| 93.063492 | 144 | 0.650435 | 1,315 | 11,726 | 5.597719 | 0.117871 | 0.11656 | 0.161663 | 0.21872 | 0.942807 | 0.942807 | 0.942807 | 0.942807 | 0.942807 | 0.942807 | 0 | 0.081127 | 0.191625 | 11,726 | 125 | 145 | 93.808 | 0.695432 | 0.001791 | 0 | 0.857143 | 0 | 0 | 0.239426 | 0.017859 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.033613 | 0 | 0.058824 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
476ecd9c31bd1a9cacb1652502a4f667427125da | 142 | py | Python | generated-libraries/python/netapp/fpolicy/event_name.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | 2 | 2017-03-28T15:31:26.000Z | 2018-08-16T22:15:18.000Z | generated-libraries/python/netapp/fpolicy/event_name.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | null | null | null | generated-libraries/python/netapp/fpolicy/event_name.py | radekg/netapp-ontap-lib-get | 6445ebb071ec147ea82a486fbe9f094c56c5c40d | [
"MIT"
] | null | null | null | class EventName(basestring):
"""
Event name
"""
@staticmethod
def get_api_name():
return "event-name"
| 14.2 | 29 | 0.528169 | 13 | 142 | 5.615385 | 0.769231 | 0.246575 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.359155 | 142 | 9 | 30 | 15.777778 | 0.802198 | 0.070423 | 0 | 0 | 0 | 0 | 0.086207 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0 | 0.25 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
47c8f10dbc3772be9cdcb48e8b9dbb54f4f1ec94 | 99 | py | Python | benchmark/biopython_fasta_build_index.py | DishSri1/pyfastx | 4bfa6662fb50b7244565ad00ef6e99962b4f3169 | [
"MIT"
] | 122 | 2019-10-21T16:22:27.000Z | 2022-03-31T06:07:45.000Z | benchmark/biopython_fasta_build_index.py | DishSri1/pyfastx | 4bfa6662fb50b7244565ad00ef6e99962b4f3169 | [
"MIT"
] | 40 | 2019-11-08T14:38:51.000Z | 2022-03-15T13:07:38.000Z | benchmark/biopython_fasta_build_index.py | DishSri1/pyfastx | 4bfa6662fb50b7244565ad00ef6e99962b4f3169 | [
"MIT"
] | 8 | 2020-01-20T01:31:51.000Z | 2021-07-30T10:28:35.000Z | import sys
from Bio import SeqIO
SeqIO.index_db("{}.db".format(sys.argv[1]), sys.argv[1], 'fasta')
| 24.75 | 65 | 0.69697 | 18 | 99 | 3.777778 | 0.611111 | 0.205882 | 0.235294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022222 | 0.090909 | 99 | 3 | 66 | 33 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0.10101 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
47da26e8e38225ac7984ad15e3bd4ac098bda490 | 148 | py | Python | tests/reload_module/my_prog.py | rtpg/mighty_patcher | d4e02f342985315100cd3bca8d89846aa9c93687 | [
"BSD-3-Clause"
] | 6 | 2019-09-17T04:50:34.000Z | 2021-01-03T14:22:53.000Z | tests/reload_module/my_prog.py | rtpg/mighty_patcher | d4e02f342985315100cd3bca8d89846aa9c93687 | [
"BSD-3-Clause"
] | 1 | 2019-06-08T03:37:20.000Z | 2019-06-08T03:37:20.000Z | tests/reload_module/my_prog.py | rtpg/mighty_patcher | d4e02f342985315100cd3bca8d89846aa9c93687 | [
"BSD-3-Clause"
] | 1 | 2022-02-24T16:57:31.000Z | 2022-02-24T16:57:31.000Z | # during the tests we'll be copying stuff from math_old and math_new
from .math import do_some_math # noqa
def main():
return do_some_math()
| 21.142857 | 68 | 0.743243 | 27 | 148 | 3.851852 | 0.740741 | 0.153846 | 0.192308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195946 | 148 | 6 | 69 | 24.666667 | 0.87395 | 0.47973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 8 |
47ef9cce2ddc355465e333fb42669d3fde01f720 | 9,628 | py | Python | conans/test/functional/package_id/compatible_test.py | akemimadoka/conan | 272be061082ddf73f1f5d71bf98f50273d7f3cba | [
"MIT"
] | null | null | null | conans/test/functional/package_id/compatible_test.py | akemimadoka/conan | 272be061082ddf73f1f5d71bf98f50273d7f3cba | [
"MIT"
] | null | null | null | conans/test/functional/package_id/compatible_test.py | akemimadoka/conan | 272be061082ddf73f1f5d71bf98f50273d7f3cba | [
"MIT"
] | null | null | null | import textwrap
import unittest
from conans.test.utils.tools import TestClient, GenConanfile
class CompatibleIDsTest(unittest.TestCase):
def compatible_setting_test(self):
client = TestClient()
conanfile = textwrap.dedent("""
from conans import ConanFile, CompatiblePackage
class Pkg(ConanFile):
settings = "os", "compiler"
def package_id(self):
if self.settings.compiler == "gcc" and self.settings.compiler.version == "4.9":
for version in ("4.8", "4.7", "4.6"):
compatible_pkg = CompatiblePackage(self)
compatible_pkg.settings.compiler.version = version
self.compatible_packages.append(compatible_pkg)
def package_info(self):
self.output.info("PackageInfo!: Gcc version: %s!"
% self.settings.compiler.version)
""")
profile = textwrap.dedent("""
[settings]
os = Linux
compiler=gcc
compiler.version=4.9
compiler.libcxx=libstdc++
""")
client.save({"conanfile.py": conanfile,
"myprofile": profile})
# Create package with gcc 4.8
client.run("create . pkg/0.1@user/stable -pr=myprofile -s compiler.version=4.8")
self.assertIn("pkg/0.1@user/stable: Package '22c594d7fed4994c59a1eacb24ff6ff48bc5c51c'"
" created", client.out)
# package can be used with a profile gcc 4.9 falling back to 4.8 binary
client.save({"conanfile.py": GenConanfile().with_require_plain("pkg/0.1@user/stable")})
client.run("install . -pr=myprofile")
self.assertIn("pkg/0.1@user/stable: PackageInfo!: Gcc version: 4.8!", client.out)
self.assertIn("pkg/0.1@user/stable:22c594d7fed4994c59a1eacb24ff6ff48bc5c51c", client.out)
self.assertIn("pkg/0.1@user/stable: Already installed!", client.out)
def compatible_setting_no_binary_test(self):
client = TestClient()
conanfile = textwrap.dedent("""
from conans import ConanFile, CompatiblePackage
class Pkg(ConanFile):
settings = "os", "compiler"
def package_id(self):
if self.settings.compiler == "gcc" and self.settings.compiler.version == "4.9":
for version in ("4.8", "4.7", "4.6"):
compatible_pkg = CompatiblePackage(self)
compatible_pkg.settings.compiler.version = version
self.compatible_packages.append(compatible_pkg)
def package_info(self):
self.output.info("PackageInfo!: Gcc version: %s!"
% self.settings.compiler.version)
""")
profile = textwrap.dedent("""
[settings]
os = Linux
compiler=gcc
compiler.version=4.9
compiler.libcxx=libstdc++
""")
client.save({"conanfile.py": conanfile,
"myprofile": profile})
# Create package with gcc 4.8
client.run("export . pkg/0.1@user/stable")
self.assertIn("pkg/0.1@user/stable: Exported revision: c89d6976443e7a9cd975c5b8210ae212",
client.out)
# package can be used with a profile gcc 4.9 falling back to 4.8 binary
client.save({"conanfile.py": GenConanfile().with_require_plain("pkg/0.1@user/stable")})
# No fallback
client.run("install . -pr=myprofile --build=missing")
self.assertIn("pkg/0.1@user/stable: PackageInfo!: Gcc version: 4.9!", client.out)
self.assertIn("pkg/0.1@user/stable:53f56fbd582a1898b3b9d16efd6d3c0ec71e7cfb - Build",
client.out)
def compatible_setting_no_user_channel_test(self):
client = TestClient()
conanfile = textwrap.dedent("""
from conans import ConanFile, CompatiblePackage
class Pkg(ConanFile):
settings = "os", "compiler"
def package_id(self):
if self.settings.compiler == "gcc" and self.settings.compiler.version == "4.9":
for version in ("4.8", "4.7", "4.6"):
compatible_pkg = CompatiblePackage(self)
compatible_pkg.settings.compiler.version = version
self.compatible_packages.append(compatible_pkg)
""")
profile = textwrap.dedent("""
[settings]
os = Linux
compiler=gcc
compiler.version=4.9
compiler.libcxx=libstdc++
""")
client.save({"conanfile.py": conanfile,
"myprofile": profile})
# No user/channel
client.run("create . pkg/0.1@ -pr=myprofile -s compiler.version=4.8")
self.assertIn("pkg/0.1: Package '22c594d7fed4994c59a1eacb24ff6ff48bc5c51c' created",
client.out)
client.save({"conanfile.py": GenConanfile().with_require_plain("pkg/0.1")})
client.run("install . -pr=myprofile")
self.assertIn("pkg/0.1:22c594d7fed4994c59a1eacb24ff6ff48bc5c51c", client.out)
self.assertIn("pkg/0.1: Already installed!", client.out)
def compatible_option_test(self):
client = TestClient()
conanfile = textwrap.dedent("""
from conans import ConanFile, CompatiblePackage
class Pkg(ConanFile):
options = {"optimized": [1, 2, 3]}
default_options = {"optimized": 1}
def package_id(self):
for optimized in range(int(self.options.optimized), 0, -1):
compatible_pkg = CompatiblePackage(self)
compatible_pkg.options.optimized = optimized
self.compatible_packages.append(compatible_pkg)
def package_info(self):
self.output.info("PackageInfo!: Option optimized %s!"
% self.options.optimized)
""")
client.save({"conanfile.py": conanfile})
client.run("create . pkg/0.1@user/stable")
self.assertIn("pkg/0.1@user/stable: Package 'a97db2488658dd582a070ba8b6c6975eb1601a33'"
" created", client.out)
client.save({"conanfile.py": GenConanfile().with_require_plain("pkg/0.1@user/stable")})
client.run("install . -o pkg:optimized=2")
# Information messages
self.assertIn("pkg/0.1@user/stable: PackageInfo!: Option optimized 1!", client.out)
self.assertIn("pkg/0.1@user/stable: Compatible package ID "
"d97fb97a840e4ac3b5e7bb8f79c87f1d333a85bc equal to the default package ID",
client.out)
self.assertIn("pkg/0.1@user/stable: Main binary package "
"'d97fb97a840e4ac3b5e7bb8f79c87f1d333a85bc' missing. Using compatible package"
" 'a97db2488658dd582a070ba8b6c6975eb1601a33'", client.out)
# checking the resulting dependencies
self.assertIn("pkg/0.1@user/stable:a97db2488658dd582a070ba8b6c6975eb1601a33 - Cache",
client.out)
self.assertIn("pkg/0.1@user/stable: Already installed!", client.out)
client.run("install . -o pkg:optimized=3")
self.assertIn("pkg/0.1@user/stable:a97db2488658dd582a070ba8b6c6975eb1601a33 - Cache",
client.out)
self.assertIn("pkg/0.1@user/stable: Already installed!", client.out)
def error_setting_test(self):
client = TestClient()
conanfile = textwrap.dedent("""
from conans import ConanFile, CompatiblePackage
class Pkg(ConanFile):
settings = "os", "compiler"
def package_id(self):
compatible_pkg = CompatiblePackage(self)
compatible_pkg.settings.compiler.version = "bad"
self.compatible_packages.append(self)
""")
client.save({"conanfile.py": conanfile})
client.run("create . pkg/0.1@user/stable", assert_error=True)
self.assertIn('ERROR: pkg/0.1@user/stable: Error in package_id() method, line 8',
client.out)
self.assertIn('compatible_pkg.settings.compiler.version = "bad"', client.out)
self.assertIn("ConanException: Invalid setting 'bad' is not a valid "
"'settings.compiler.version' value", client.out)
def error_option_test(self):
client = TestClient()
conanfile = textwrap.dedent("""
from conans import ConanFile, CompatiblePackage
class Pkg(ConanFile):
options = {"shared": [True, False]}
default_options = {"shared": True}
def package_id(self):
compatible_pkg = CompatiblePackage(self)
compatible_pkg.options.shared = "bad"
self.compatible_packages.append(self)
""")
client.save({"conanfile.py": conanfile})
client.run("create . pkg/0.1@user/stable", assert_error=True)
self.assertIn('ERROR: pkg/0.1@user/stable: Error in package_id() method, line 9',
client.out)
self.assertIn('compatible_pkg.options.shared = "bad"', client.out)
self.assertIn("ConanException: 'bad' is not a valid 'options.shared' value.", client.out)
| 47.663366 | 100 | 0.575613 | 973 | 9,628 | 5.63001 | 0.124358 | 0.011318 | 0.027382 | 0.041073 | 0.837349 | 0.805951 | 0.748083 | 0.736948 | 0.702446 | 0.671961 | 0 | 0.060232 | 0.310241 | 9,628 | 201 | 101 | 47.900498 | 0.764644 | 0.029082 | 0 | 0.701754 | 0 | 0.02924 | 0.661848 | 0.185245 | 0 | 0 | 0 | 0 | 0.152047 | 1 | 0.035088 | false | 0 | 0.052632 | 0 | 0.093567 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
d0275cbcbe9c4d97bb682d9cc6024ae61da0b14a | 4,020 | py | Python | src/cmp/tools/parsing.py | BeginnerCompilers/cool-compiler-2021 | fe8c4dbbbaff9dc855322c2df2892dcfc5d449f9 | [
"MIT"
] | 1 | 2022-02-11T05:12:54.000Z | 2022-02-11T05:12:54.000Z | src/cmp/tools/parsing.py | BeginnerCompilers/cool-compiler-2021 | fe8c4dbbbaff9dc855322c2df2892dcfc5d449f9 | [
"MIT"
] | null | null | null | src/cmp/tools/parsing.py | BeginnerCompilers/cool-compiler-2021 | fe8c4dbbbaff9dc855322c2df2892dcfc5d449f9 | [
"MIT"
] | 1 | 2022-02-11T07:30:32.000Z | 2022-02-11T07:30:32.000Z | import zlib, base64
exec(zlib.decompress(base64.b64decode('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')))
# Created by pyminifier (https://github.com/liftoff/pyminifier)
deprecated_metodo_predictivo_no_recursivo = metodo_predictivo_no_recursivo
def metodo_predictivo_no_recursivo(G, M=None, firsts=None, follows=None):
parser = deprecated_metodo_predictivo_no_recursivo(G, M, firsts, follows)
def updated(tokens):
return parser([t.token_type for t in tokens])
return updated
exec(zlib.decompress(base64.b64decode('eJx9U8GO2jAQvfMVZi9JtCFarqiuVLUsRUilWranCEUmGcBaY0e2s3TV7b/X9iQhpaiXxJ4Zv3nzZqYUzBiyOfK9fYKqKeE70wb0bEQ2X5ePzzQKv2hEnuZffnye0wj/zrBe0Wi9cocK9qQouOS2KGIDYp8u0lfQO2WAPjJhIHFoxDuyBV10xy6i/XdmVlquJP31uzMclFWDa7FruKiK2rHk8lBYthMQJy2JWz7/KhDQjBsg35RdnmoBJ5AWqrnWSvfPi5IJ0dVwTg9gC+OFKXRQZliMZeULzR+27lw22ihNH9xRNbZuLM29WdWgma/F4P185ALIs27AA3gECzTg5JOpDyBCqRd2BFbRc46gwcz3fwk2qzWXNg4v0+jDZDJ5f3efj1HavZptE3wXhyRpj5tIZQmXQ6EDF4KQ/4QnA+ddkCojn3ZKW6dulmV36NdgGy2dsNI3kSBuatmBDvLkV9hdZW27MTSMGjK6qJexugZZxZcITBsEuKd5D+lTBti2I/d06m8grtPgBP83D4ZgImxq53ZJ0BxS7lT1Rp0pWPZKE/N22inhRdbgGmagin1MgtmQdFarOkYQ4pYPtB3aHcmA0RV5PSUkLES/Gq2wvaa9LoGfj9jeVmG9mo1uUbrJKOxu5mzabi7s2lABEsfRRU6HI4HK+Tb7wbteJ8fJQIwx6aUPCdI1uCbt1s5/llB7dxwt5SsTvGqLGY/HUTL6AyImjec=')))
# Created by pyminifier (https://github.com/liftoff/pyminifier)
exec(zlib.decompress(base64.b64decode('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')))
# Created by pyminifier (https://github.com/liftoff/pyminifier)
| 236.470588 | 1,547 | 0.936318 | 189 | 4,020 | 19.835979 | 0.714286 | 0.017071 | 0.019205 | 0.028808 | 0.094425 | 0.055481 | 0.040011 | 0.040011 | 0 | 0 | 0 | 0.129808 | 0.016915 | 4,020 | 16 | 1,548 | 251.25 | 0.818826 | 0.04602 | 0 | 0 | 0 | 0.3 | 0.873923 | 0.873923 | 0 | 1 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.1 | 0.1 | 0.5 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d06910499d1f6a5f1d0c06355c460cbdfb21f01e | 26,612 | py | Python | paddlehub/finetune/task/matching_task.py | 18621579069/PaddleHub-yu | 15e8bcef2addf239081e235bdcfd039de12330e0 | [
"Apache-2.0"
] | null | null | null | paddlehub/finetune/task/matching_task.py | 18621579069/PaddleHub-yu | 15e8bcef2addf239081e235bdcfd039de12330e0 | [
"Apache-2.0"
] | null | null | null | paddlehub/finetune/task/matching_task.py | 18621579069/PaddleHub-yu | 15e8bcef2addf239081e235bdcfd039de12330e0 | [
"Apache-2.0"
] | null | null | null | # coding:utf-8
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# 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 time
from collections import OrderedDict
from paddlehub.common.logger import logger
from paddlehub.finetune.evaluate import calculate_f1_np, simple_accuracy
from paddlehub.tokenizer.bert_tokenizer import BertTokenizer
from paddlehub.tokenizer.tokenizer import CustomTokenizer
import numpy as np
import paddle.fluid as fluid
import paddlehub.network as net
from .base_task import BaseTask
class PairwiseTextMatchingTask(BaseTask):
"""
Create a pairwise text macthing task, which needs 3 slots (query, left_title, right_title).
"""
def __init__(self,
query_feature,
left_feature,
right_feature,
tokenizer,
dataset=None,
network=None,
config=None,
metrics_choices=["acc", "f1", "precision", "recall"]):
"""
Args:
query_feature(Variable): It represents the query in the text matching task.
left_feature(Variable): It represents the left title in the text matching task.
right_feature(Variable): If the task is pair_wise, then the right_feature must be set and it represents the right title. It is optional.
tokenizer(object): tokenizer(object): It should be hub.BertTokenizer or hub.CustomTokenizer, which tokenizes the text and encodes the data as model needed.
dataset(object): The text macthing dataset.
network(str): The pre-defined network. Choices: 'bow', 'cnn', 'gru' and 'lstm'. Default None.
config (RunConfig): run config for the task, such as batch_size, epoch, learning_rate setting and so on.
metrics_choices(list): metrics used to the task, default ['acc', 'f1', "precision", "recall"].
"""
if network:
assert network in [
'bow', 'cnn', 'gru', 'lstm'
], 'network (%s) choice must be one of bow, cnn, gru, lstm!' % network
assert len(query_feature.shape) == 3 and len(
left_feature.shape
) == 3 and (
len(right_feature.shape) == 3
), 'When you use network, the parameter query_feature and left_feature must be the token-level feature ([batch_size, max_seq_len, embedding_size]), shape as [-1, 128, 200].'
self.tokenizer = tokenizer
self.query_feature = query_feature
self.left_feature = left_feature
self.right_feature = right_feature
self.network = network
main_program = query_feature.block.program
super(PairwiseTextMatchingTask, self).__init__(
dataset=dataset,
data_reader=None,
main_program=main_program,
startup_program=None,
config=config,
metrics_choices=metrics_choices)
def _build_net(self):
if self.network:
self.seq_len_1 = fluid.layers.data(
name="seq_len", shape=[1], dtype='int64', lod_level=0)
self.seq_len_1_used = fluid.layers.squeeze(self.seq_len_1, axes=[1])
self.seq_len_2 = fluid.layers.data(
name="seq_len_2", shape=[1], dtype='int64', lod_level=0)
self.seq_len_2_used = fluid.layers.squeeze(self.seq_len_2, axes=[1])
self.seq_len_3 = fluid.layers.data(
name="seq_len_3", shape=[1], dtype='int64', lod_level=0)
self.seq_len_3_used = fluid.layers.squeeze(self.seq_len_3, axes=[1])
# unpad the token_feature
query_unpad = fluid.layers.sequence_unpad(
self.query_feature, length=self.seq_len_1_used)
left_unpad = fluid.layers.sequence_unpad(
self.left_feature, length=self.seq_len_2_used)
right_unpad = fluid.layers.sequence_unpad(
self.right_feature, length=self.seq_len_3_used)
# add pre-defined net
net_func = getattr(net.matching, self.network)
if self.is_train_phase or self.is_predict_phase:
logger.info("%s has been added in the PairwiseTextMatchingTask!"
% self.network)
query_feats, left_feats = net_func(query_unpad, left_unpad)
left_concat = fluid.layers.concat(
input=[query_feats, left_feats], axis=1)
query_feats, right_feats = net_func(query_unpad, right_unpad)
right_concat = fluid.layers.concat(
input=[query_feats, right_feats],
axis=1,
)
else:
query_feats = fluid.layers.dropout(
x=self.query_feature,
dropout_prob=0.1,
dropout_implementation="upscale_in_train")
left_feats = fluid.layers.dropout(
x=self.left_feature,
dropout_prob=0.1,
dropout_implementation="upscale_in_train")
left_concat = fluid.layers.concat(
input=[query_feats, left_feats], axis=-1)
right_feats = fluid.layers.dropout(
x=self.right_feature,
dropout_prob=0.1,
dropout_implementation="upscale_in_train")
right_concat = fluid.layers.concat(
input=[query_feats, right_feats],
axis=-1,
)
left_score = fluid.layers.fc(
input=left_concat,
size=1,
param_attr=fluid.ParamAttr(
name="matching_out_w_left",
initializer=fluid.initializer.TruncatedNormal(scale=0.02),
),
bias_attr=fluid.ParamAttr(
name="matching_out_b_left",
initializer=fluid.initializer.Constant(0.),
),
)
left_score = fluid.layers.sigmoid(left_score)
right_score = fluid.layers.fc(
input=right_concat,
size=1,
param_attr=fluid.ParamAttr(
name="matching_out_w_right",
initializer=fluid.initializer.TruncatedNormal(scale=0.02),
),
bias_attr=fluid.ParamAttr(
name="matching_out_b_right",
initializer=fluid.initializer.Constant(0.),
),
)
right_score = fluid.layers.sigmoid(right_score)
return [left_score, right_score]
def _add_label(self):
labels = fluid.layers.data(
name="label", dtype="int64", shape=[-1, 1], lod_level=0)
labels = fluid.layers.cast(x=labels, dtype="float32")
return [labels]
def _add_loss(self):
rank_loss = fluid.layers.rank_loss(
label=self.labels[0], left=self.outputs[0], right=self.outputs[1])
return fluid.layers.mean(x=rank_loss)
def _add_metrics(self):
return self.outputs
@property
def feed_list(self):
if self.is_train_phase or self.is_test_phase:
feed_list = super(PairwiseTextMatchingTask, self).feed_list
else:
if isinstance(self.tokenizer, CustomTokenizer):
feed_list = ['text', 'text_2', 'text_3']
if self.network:
feed_list += ['seq_len', 'seq_len_2', 'seq_len_3']
elif isinstance(self.tokenizer, BertTokenizer):
feed_list = [
'input_ids', 'segment_ids', 'input_mask', 'position_ids',
'input_ids_2', 'segment_ids_2', 'input_mask_2',
'position_ids_2', 'input_ids_3', 'segment_ids_3',
'input_mask_3', 'position_ids_3'
]
if self.network:
feed_list += ['seq_len', 'seq_len_2', 'seq_len_3']
else:
raise RuntimeError(
"Unknown Tokenizer %s." % self.tokenizer.__class__)
return feed_list
@property
def fetch_list(self):
if self.is_train_phase or self.is_test_phase:
return [metric.name for metric in self.metrics
] + [self.labels[0].name, self.loss.name]
return [output.name for output in self.outputs]
def _calculate_metrics(self, run_states):
loss_sum = run_examples = 0
run_step = run_time_used = 0
all_labels = []
all_infers = []
for run_state in run_states:
run_examples += run_state.run_examples
run_step += run_state.run_step
loss_sum += np.mean(
run_state.run_results[-1]) * run_state.run_examples
left_scores, right_scores, labels = run_state.run_results[:-1]
for index in range(left_scores.shape[0]):
if left_scores[index] > right_scores[index]:
prediction = 1
else:
prediction = 0
all_infers.append(prediction)
all_labels.append(int(labels[index][0]))
run_time_used = time.time() - run_states[0].run_time_begin
avg_loss = loss_sum / run_examples
run_speed = run_step / run_time_used
# The first key will be used as main metrics to update the best model
scores = OrderedDict()
precision, recall, f1 = calculate_f1_np(all_infers, all_labels)
acc = simple_accuracy(all_infers, all_labels)
for metric in self.metrics_choices:
if metric == "precision":
scores["precision"] = precision
elif metric == "recall":
scores["recall"] = recall
elif metric == "f1":
scores["f1"] = f1
elif "acc" in self.metrics_choices:
scores["acc"] = acc
else:
raise ValueError(
"Unknown metric: %s! The chosen metrics must be acc, f1, presicion and recall."
% self.metrics_choice)
return scores, avg_loss, run_speed
def _encode_matching_data(self, data, max_seq_len):
encoded_data = []
for text_pair in data:
record = {}
record_a = self.tokenizer.encode(
text=text_pair[0], max_seq_len=max_seq_len)
record_b = self.tokenizer.encode(
text=text_pair[1], max_seq_len=max_seq_len)
if isinstance(self.tokenizer, BertTokenizer):
record = {
# text_1
'input_ids': record_a['input_ids'],
'segment_ids': record_a['segment_ids'],
'input_mask': record_a['input_mask'],
'position_ids': record_a['position_ids'],
'seq_len': record_a['seq_len'],
# text_2
'input_ids_2': record_b['input_ids'],
'segment_ids_2': record_b['segment_ids'],
'input_mask_2': record_b['input_mask'],
'position_ids_2': record_b['position_ids'],
'seq_len_2': record_b['seq_len'],
# text_3 same as text_2
'input_ids_3': record_b['input_ids'],
'segment_ids_3': record_b['segment_ids'],
'input_mask_3': record_b['input_mask'],
'position_ids_3': record_b['position_ids'],
'seq_len_3': record_b['seq_len'],
}
elif isinstance(self.tokenizer, CustomTokenizer):
record = {
# text_1
'text': record_a['text'],
'seq_len': record_a['seq_len'],
# text_2
'text_2': record_b['text'],
'seq_len_2': record_b['seq_len'],
# text_3 same as text_3
'text_3': record_b['text'],
'seq_len_3': record_b['seq_len'],
}
else:
raise Exception(
"Unknown Tokenizer %s!" % self.tokenizer.__class__)
encoded_data.append(record)
return encoded_data
def predict(self,
data,
max_seq_len,
label_list=None,
load_best_model=True,
return_result=False,
accelerate_mode=True):
"""
make prediction for the input data.
Args:
data (list): The data will be predicted. It should be a text pair, such as [[query, title], ...].
max_seq_len(int): It will limit the total sequence returned so that it has a maximum length.
label_list(list): The labels which was exploited as fine-tuning. If the return_result as true, the label_list must be set.
load_best_model (bool): Whether loading the best model or not.
return_result (bool): Whether getting the final result (such as predicted labels) or not. Default as True.
accelerate_mode (bool): use high-performance predictor or not
Returns:
RunState(object): The running result in the predict phase, which includes the fetch results as running program.
"""
self.accelerate_mode = accelerate_mode
encoded_data = self._encode_matching_data(data, max_seq_len)
with self.phase_guard(phase="predict"):
self._predict_data = encoded_data
self._label_list = label_list
self._predict_start_event()
if load_best_model:
self.init_if_load_best_model()
else:
self.init_if_necessary()
if not self.accelerate_mode:
run_states = self._run()
else:
if not self._predictor:
self._predictor = self._create_predictor()
run_states = self._run_with_predictor()
self._predict_end_event(run_states)
self._predict_data = None
if return_result or not self._compatible_mode:
return self._postprocessing(run_states)
return run_states
def _postprocessing(self, run_states):
results = []
for batch_states in run_states:
batch_results = batch_states.run_results
left_scores, right_scores = batch_results[0], batch_results[1]
for index in range(left_scores.shape[0]):
if left_scores[index] > right_scores[index]:
prediction = 1
else:
prediction = 0
results.append(prediction)
return results
class PointwiseTextMatchingTask(BaseTask):
"""
Create a pointwise text macthing task, which needs 2 slots (query, title).
"""
def __init__(self,
query_feature,
title_feature,
tokenizer,
dataset=None,
network=None,
config=None,
metrics_choices=["acc", 'f1', "precision", "recall"]):
"""
Args:
query_feature(Variable): It represents the query in the text matching task.
title_feature(Variable): It represents the title in the text matching task.
tokenizer(object): tokenizer(object): It should be hub.BertTokenizer or hub.CustomTokenizer, which tokenizes the text and encodes the data as model needed.
dataset(object): The text macthing dataset.
network(str): The pre-defined network. Choices: 'bow', 'cnn', 'gru' and 'lstm'. Default None.
config (RunConfig): run config for the task, such as batch_size, epoch, learning_rate setting and so on.
metrics_choices(list): metrics used to the task, default ['acc', 'f1', "precision", "recall"].
"""
if network:
assert network in [
'bow', 'cnn', 'gru', 'lstm'
], 'network (%s) choice must be one of bow, cnn, gru, lstm!' % network
assert len(query_feature.shape) == 3 and len(
title_feature.shape
) == 3, 'When you use network, the parameter query_feature and title_feature must be the token-level feature ([batch_size, max_seq_len, embedding_size]), shape as [-1, 128, 200].'
self.tokenizer = tokenizer
self.query_feature = query_feature
self.title_feature = title_feature
self.network = network
main_program = query_feature.block.program
super(PointwiseTextMatchingTask, self).__init__(
dataset=dataset,
data_reader=None,
main_program=main_program,
startup_program=None,
config=config,
metrics_choices=metrics_choices)
def _build_net(self):
if self.network:
self.seq_len_1 = fluid.layers.data(
name="seq_len", shape=[1], dtype='int64', lod_level=0)
self.seq_len_1_used = fluid.layers.squeeze(self.seq_len_1, axes=[1])
self.seq_len_2 = fluid.layers.data(
name="seq_len_2", shape=[1], dtype='int64', lod_level=0)
self.seq_len_2_used = fluid.layers.squeeze(self.seq_len_2, axes=[1])
# unpad the token_feature
query_unpad = fluid.layers.sequence_unpad(
self.query_feature, length=self.seq_len_1_used)
title_unpad = fluid.layers.sequence_unpad(
self.title_feature, length=self.seq_len_2_used)
# add pre-defined net
net_func = getattr(net.matching, self.network)
if self.is_train_phase or self.is_predict_phase:
logger.info(
"%s has been added in the PointwiseTextMatchingTask!" %
self.network)
query_feats, title_feats = net_func(query_unpad, title_unpad)
title_concat = fluid.layers.concat(
input=[query_feats, title_feats], axis=1)
else:
query_feats = fluid.layers.dropout(
x=self.query_feature,
dropout_prob=0.1,
dropout_implementation="upscale_in_train")
title_feats = fluid.layers.dropout(
x=self.title_feature,
dropout_prob=0.1,
dropout_implementation="upscale_in_train")
title_concat = fluid.layers.concat(
input=[query_feats, title_feats], axis=-1)
score = fluid.layers.fc(
input=title_concat,
size=2,
param_attr=fluid.ParamAttr(
name="matching_out_w",
initializer=fluid.initializer.TruncatedNormal(scale=0.02),
),
bias_attr=fluid.ParamAttr(
name="matching_out_b",
initializer=fluid.initializer.Constant(0.),
),
act="softmax")
return [score]
def _add_label(self):
return [fluid.layers.data(name="label", dtype="int64", shape=[-1, 1])]
def _add_loss(self):
ce_loss = fluid.layers.cross_entropy(
input=self.outputs[0], label=self.labels[0])
return fluid.layers.mean(x=ce_loss)
def _add_metrics(self):
return self.outputs
@property
def feed_list(self):
if self.is_train_phase or self.is_test_phase:
feed_list = super(PointwiseTextMatchingTask, self).feed_list
else:
if isinstance(self.tokenizer, CustomTokenizer):
feed_list = ['text', 'text_2']
if self.network:
feed_list += ['seq_len', 'seq_len_2']
elif isinstance(self.tokenizer, BertTokenizer):
feed_list = [
'input_ids', 'segment_ids', 'input_mask', 'position_ids',
'input_ids_2', 'segment_ids_2', 'input_mask_2',
'position_ids_2'
]
if self.network:
feed_list += ['seq_len', 'seq_len_2']
else:
raise RuntimeError(
"Unknown Tokenizer %s." % self.tokenizer.__class__)
return feed_list
@property
def fetch_list(self):
if self.is_train_phase or self.is_test_phase:
return [metric.name for metric in self.metrics
] + [self.labels[0].name, self.loss.name]
return [output.name for output in self.outputs]
def _calculate_metrics(self, run_states):
loss_sum = run_examples = 0
run_step = run_time_used = 0
all_labels = []
all_infers = []
for run_state in run_states:
run_examples += run_state.run_examples
run_step += run_state.run_step
loss_sum += np.mean(
run_state.run_results[-1]) * run_state.run_examples
scores, labels = run_state.run_results[:-1]
predictions = np.argmax(scores, axis=1)
all_infers += [int(pre) for pre in predictions]
true_labels = [int(label[0]) for label in labels]
all_labels += true_labels
run_time_used = time.time() - run_states[0].run_time_begin
avg_loss = loss_sum / run_examples
run_speed = run_step / run_time_used
# The first key will be used as main metrics to update the best model
scores = OrderedDict()
precision, recall, f1 = calculate_f1_np(all_infers, all_labels)
acc = simple_accuracy(all_infers, all_labels)
for metric in self.metrics_choices:
if metric == "precision":
scores["precision"] = precision
elif metric == "recall":
scores["recall"] = recall
elif metric == "f1":
scores["f1"] = f1
elif "acc" in self.metrics_choices:
scores["acc"] = acc
else:
raise ValueError(
"Unknown metric: %s! The chosen metrics must be acc, f1, presicion and recall."
% self.metrics_choice)
return scores, avg_loss, run_speed
def _encode_matching_data(self, data, max_seq_len):
encoded_data = []
for text_pair in data:
record = {}
record_a = self.tokenizer.encode(
text=text_pair[0], max_seq_len=max_seq_len)
record_b = self.tokenizer.encode(
text=text_pair[1], max_seq_len=max_seq_len)
if isinstance(self.tokenizer, BertTokenizer):
record = {
# text_1
'input_ids': record_a['input_ids'],
'segment_ids': record_a['segment_ids'],
'input_mask': record_a['input_mask'],
'position_ids': record_a['position_ids'],
'seq_len': record_a['seq_len'],
# text_2
'input_ids_2': record_b['input_ids'],
'segment_ids_2': record_b['segment_ids'],
'input_mask_2': record_b['input_mask'],
'position_ids_2': record_b['position_ids'],
'seq_len_2': record_b['seq_len'],
}
elif isinstance(self.tokenizer, CustomTokenizer):
record = {
# text_1
'text': record_a['text'],
'seq_len': record_a['seq_len'],
# text_2
'text_2': record_b['text'],
'seq_len_2': record_b['seq_len'],
}
else:
raise Exception(
"Unknown Tokenizer %s!" % self.tokenizer.__class__)
encoded_data.append(record)
return encoded_data
def predict(self,
data,
max_seq_len,
label_list=None,
load_best_model=True,
return_result=False,
accelerate_mode=True):
"""
make prediction for the input data.
Args:
data (list): The data will be predicted. It should be a text pair, such as [[query, title], ...].
max_seq_len(int): It will limit the total sequence returned so that it has a maximum length.
label_list(list): The labels which was exploited as fine-tuning. If the return_result as true, the label_list must be set.
load_best_model (bool): Whether loading the best model or not.
return_result (bool): Whether getting the final result (such as predicted labels) or not. Default as True.
accelerate_mode (bool): use high-performance predictor or not
Returns:
RunState(object): The running result in the predict phase, which includes the fetch results as running program.
"""
self.accelerate_mode = accelerate_mode
encoded_data = self._encode_matching_data(data, max_seq_len)
with self.phase_guard(phase="predict"):
self._predict_data = encoded_data
self._label_list = label_list
self._predict_start_event()
if load_best_model:
self.init_if_load_best_model()
else:
self.init_if_necessary()
if not self.accelerate_mode:
run_states = self._run()
else:
if not self._predictor:
self._predictor = self._create_predictor()
run_states = self._run_with_predictor()
self._predict_end_event(run_states)
self._predict_data = None
if return_result or not self._compatible_mode:
return self._postprocessing(run_states)
return run_states
def _postprocessing(self, run_states):
results = []
for batch_states in run_states:
batch_results = batch_states.run_results
batch_infer = np.argmax(batch_results[0], axis=1)
results += [
self._label_list[sample_infer] for sample_infer in batch_infer
]
return results
| 41.258915 | 191 | 0.572336 | 3,101 | 26,612 | 4.643018 | 0.107062 | 0.030421 | 0.013891 | 0.006112 | 0.839353 | 0.804348 | 0.775733 | 0.765176 | 0.762467 | 0.762467 | 0 | 0.012773 | 0.338081 | 26,612 | 644 | 192 | 41.322981 | 0.804598 | 0.152939 | 0 | 0.748971 | 0 | 0.004115 | 0.100154 | 0.002305 | 0 | 0 | 0 | 0 | 0.00823 | 1 | 0.045267 | false | 0 | 0.020576 | 0.006173 | 0.119342 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d099ec1d18036c1ad8acf82d572c86bf9c1af04a | 2,408 | py | Python | src/clipper/downloader.py | Sheer-Curiosity/vcdl2 | 95e3c750934df08022f5651e714e24c4d10700d7 | [
"MIT"
] | null | null | null | src/clipper/downloader.py | Sheer-Curiosity/vcdl2 | 95e3c750934df08022f5651e714e24c4d10700d7 | [
"MIT"
] | null | null | null | src/clipper/downloader.py | Sheer-Curiosity/vcdl2 | 95e3c750934df08022f5651e714e24c4d10700d7 | [
"MIT"
] | null | null | null | import ffmpeg
import os
def downloadClips(startTimestamps: list, runtimeTimestamps: list, links: list, ffmpeg_path: str, id_list=[]):
if len(links) > 1:
# TODO
print('[DOWNLOADER]: Funtionality not yet implemented')
exit()
else:
if not os.path.isdir('./vcdl_temp'):
os.mkdir('./vcdl_temp')
if len(links[0]) > 1:
print(f"[DOWNLOADER]: {len(startTimestamps)} clips found to download")
for idx, stmp in enumerate(startTimestamps):
print(f"[DOWNLOADER]: Downloading clip {idx+1}...")
videoInput = ffmpeg.input(links[0][0], ss=stmp, t=runtimeTimestamps[idx])
audioInput = ffmpeg.input(links[0][1], ss=stmp, t=runtimeTimestamps[idx])
vcodec = 'libx264'
if stmp == '00:00:00.00':
vcodec = 'copy'
downloadProc = (
ffmpeg
.output(videoInput, audioInput, f"./vcdl_temp/clip{idx+1}.mp4", vcodec=vcodec, acodec='copy')
.global_args('-hide_banner', '-loglevel', 'quiet', '-stats', '-y')
.run_async(cmd=ffmpeg_path, quiet=True)
)
outbuff = bytearray()
while True:
dlProcOutput = downloadProc.stderr.read(1)
if dlProcOutput == b'' and downloadProc.poll() is not None:
break
if dlProcOutput == b'\r':
outbuff += dlProcOutput
print(outbuff.decode('utf-8'), end='')
outbuff = bytearray()
else:
outbuff += dlProcOutput
print(outbuff.decode('utf-8'), end='')
return (len(startTimestamps))
else:
print(f"[DOWNLOADER]: {len(startTimestamps)} clips found to download")
for idx, stmp in enumerate(startTimestamps):
print(f"[DOWNLOADER]: Downloading clip {idx+1}...")
videoInput = ffmpeg.input(links[0][0], ss=stmp, t=runtimeTimestamps[idx])
vcodec = 'copy'
if stmp == '00:00:00.00':
vcodec = 'copy'
downloadProc = (
ffmpeg
.output(videoInput, f"./vcdl_temp/clip{idx+1}.mp4", vcodec=vcodec, acodec='copy')
.global_args('-hide_banner', '-loglevel', 'quiet', '-stats', '-y')
.run_async(cmd=ffmpeg_path, quiet=True)
)
outbuff = bytearray()
while True:
dlProcOutput = downloadProc.stderr.read(1)
if dlProcOutput == b'' and downloadProc.poll() is not None:
break
if dlProcOutput == b'\r':
outbuff += dlProcOutput
print(outbuff.decode('utf-8'), end='')
outbuff = bytearray()
else:
outbuff += dlProcOutput
print(outbuff.decode('utf-8'), end='')
return (len(startTimestamps))
| 35.411765 | 109 | 0.638704 | 295 | 2,408 | 5.166102 | 0.284746 | 0.015748 | 0.041995 | 0.081365 | 0.819554 | 0.819554 | 0.793963 | 0.793963 | 0.793963 | 0.793963 | 0 | 0.020693 | 0.197259 | 2,408 | 67 | 110 | 35.940299 | 0.767719 | 0.001661 | 0 | 0.765625 | 0 | 0 | 0.193589 | 0.040799 | 0 | 0 | 0 | 0.014925 | 0 | 1 | 0.015625 | false | 0 | 0.03125 | 0 | 0.078125 | 0.140625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
d0be27b17e2491597e0bd2dbf00d7d12fdec8c2a | 12,566 | py | Python | Chapter 4/Part2.py | SMSajadi99/Python-Advance | 12ac4e9d4e3910d36d0fb8aaea452c4c74bf46dd | [
"MIT"
] | null | null | null | Chapter 4/Part2.py | SMSajadi99/Python-Advance | 12ac4e9d4e3910d36d0fb8aaea452c4c74bf46dd | [
"MIT"
] | null | null | null | Chapter 4/Part2.py | SMSajadi99/Python-Advance | 12ac4e9d4e3910d36d0fb8aaea452c4c74bf46dd | [
"MIT"
] | null | null | null | import re
import requests
import mysql.connector
from bs4 import BeautifulSoup
#--------------------------------------
mydb = mysql.connector.connect(
host="localhost",
user="root",
password="4430557869m",
database ='info_car'
)
# print(mydb)
mycursor = mydb.cursor()
################################################################
# mycursor.execute("CREATE DATABASE info_car")
# mycursor.execute("CREATE TABLE student (id INT AUTO_INCREMENT PRIMARY KEY, username VARCHAR(50), password VARCHAR(50))")
################################################################
#--------------------------------------
#!/usr/bin/env python
# -*- coding: utf-8 -*-
def type_persian(value):
#Split Words
splitv = value.split(" ")
#Remove Null value in List
i = 0
while i < len(splitv):
if splitv[i] == "":
splitv[i] = ""
splitv.remove("")
elif splitv[i] == " " :
splitv[i] = " "
splitv.remove(" ")
elif " " in splitv[i] :
splitv[i] = " "
splitv[i] = "#$#$#$#$#|"
splitv.remove("#$#$#$#$#|")
i = i + 1
#chnager
b = 0
while b < len(splitv):
q = 0
word = ""
lastw = ""
splitv[b] = splitv[b]
for txt in splitv[b]:
q = q + 1
if lastw == "":
if q == 1:
txt = checker_do_not_use(txt,"start")
elif q == len(splitv[b]):
txt = checker_do_not_use(txt,"end")
elif q > len(splitv[b]):
txt = checker_do_not_use(txt,"end")
else:
txt = checker_do_not_use(txt,"center")
else :
if q == 1:
#first
txt = checker_do_not_use(txt,"start")
elif q == len(splitv[b]):
#end
if "ا" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "آ" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "د" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "ذ" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "ر" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "ز" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "ژ" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "و" in lastw:
txt = checker_do_not_use(txt,"endPlus")
else:
txt = checker_do_not_use(txt,"end")
elif q > len(splitv[b]):
#end_Copy
if "ا" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "آ" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "د" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "ذ" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "ر" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "ز" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "ژ" in lastw:
txt = checker_do_not_use(txt,"endPlus")
elif "و" in lastw:
txt = checker_do_not_use(txt,"endPlus")
else:
txt = checker_do_not_use(txt,"end")
else:
#center
if "ا" in lastw:
txt = checker_do_not_use(txt,"start")
elif "آ" in lastw:
txt = checker_do_not_use(txt,"start")
elif "د" in lastw:
txt = checker_do_not_use(txt,"start")
elif "ذ" in lastw:
txt = checker_do_not_use(txt,"start")
elif "ر" in lastw:
txt = checker_do_not_use(txt,"start")
elif "ز" in lastw:
txt = checker_do_not_use(txt,"start")
elif "ژ" in lastw:
txt = checker_do_not_use(txt,"start")
elif "و" in lastw:
txt = checker_do_not_use(txt,"start")
else:
txt = checker_do_not_use(txt,"center")
lastw = txt
word = word + txt
word = word[::-1]
splitv[b] = word
b = b+1
#
l = len(splitv)
all_txt = ""
while 0 < l:
m = l - 1
all_txt = all_txt + splitv[m] + " "
l = l - 1
editor = all_txt
editor = editor[::-1]
editor = editor.replace(" ","",1)
editor = editor[::-1]
all_txt = editor
return all_txt
def checker_do_not_use(string , value):
if(value == "start"):
string = string.replace("ا","ﺍ")
string = string.replace("آ","ﺁ")
string = string.replace("ب","ﺑ")
string = string.replace("پ","ﭘ")
string = string.replace("ت","ﺗ")
string = string.replace("ث","ﺛ")
string = string.replace("ج","ﺟ")
string = string.replace("چ","ﭼ")
string = string.replace("ح","ﺣ")
string = string.replace("خ","ﺧ")
string = string.replace("د","ﺩ")
string = string.replace("ذ","ﺫ")
string = string.replace("ر","ﺭ")
string = string.replace("ز","ﺯ")
string = string.replace("ژ","ﮊ")
string = string.replace("س","ﺳ")
string = string.replace("ش","ﺷ")
string = string.replace("ص","ﺻ")
string = string.replace("ض","ﺿ")
string = string.replace("ط","ﻃ")
string = string.replace("ظ","ﻇ")
string = string.replace("ع","ﻋ")
string = string.replace("غ","ﻏ")
string = string.replace("ف","ﻓ")
string = string.replace("ق","ﻗ")
string = string.replace("ک","ﮐ")
string = string.replace("گ","ﮔ")
string = string.replace("ل","ﻟ")
string = string.replace("م","ﻣ")
string = string.replace("ن","ﻧ")
string = string.replace("و","ﻭ")
string = string.replace("ه","ﻫ")
string = string.replace("ی","ﯾ")
elif(value == "center"):
string = string.replace("ا","ﺎ")
string = string.replace("آ","ﺁ")
string = string.replace("ب","ﺒ")
string = string.replace("پ","ﭙ")
string = string.replace("ت","ﺘ")
string = string.replace("ث","ﺜ")
string = string.replace("ج","ﺠ")
string = string.replace("چ","ﭽ")
string = string.replace("ح","ﺤ")
string = string.replace("خ","ﺨ")
string = string.replace("د","ﺪ")
string = string.replace("ذ","ﺬ")
string = string.replace("ر","ﺮ")
string = string.replace("ز","ﺰ")
string = string.replace("ژ","ﮋ")
string = string.replace("س","ﺴ")
string = string.replace("ش","ﺸ")
string = string.replace("ص","ﺼ")
string = string.replace("ض","ﻀ")
string = string.replace("ط","ﻄ")
string = string.replace("ظ","ﻈ")
string = string.replace("ع","ﻌ")
string = string.replace("غ","ﻐ")
string = string.replace("ف","ﻔ")
string = string.replace("ق","ﻘ")
string = string.replace("ک","ﮑ")
string = string.replace("گ","ﮕ")
string = string.replace("ل","ﻠ")
string = string.replace("م","ﻤ")
string = string.replace("ن","ﻨ")
string = string.replace("و","ﻮ")
string = string.replace("ه","ﻬ")
string = string.replace("ی","ﯿ")
elif(value == "end"):
string = string.replace("ا","ﺍ")
string = string.replace("آ","ﺁ")
string = string.replace("ب","ﺐ")
string = string.replace("پ","ﭗ")
string = string.replace("ت","ﺖ")
string = string.replace("ث","ﺚ")
string = string.replace("ج","ﺞ")
string = string.replace("چ","ﭻ")
string = string.replace("ح","ﺢ")
string = string.replace("خ","ﺦ")
string = string.replace("د","ﺩ")
string = string.replace("ذ","ﺫ")
string = string.replace("ر","ﺭ")
string = string.replace("ز","ﺯ")
string = string.replace("ژ","ژ")
string = string.replace("س","ﺲ")
string = string.replace("ش","ﺶ")
string = string.replace("ص","ﺺ")
string = string.replace("ض","ﺾ")
string = string.replace("ط","ﻂ")
string = string.replace("ظ","ﻆ")
string = string.replace("ع","ﻊ")
string = string.replace("غ","ﻎ")
string = string.replace("ف","ﻒ")
string = string.replace("ق","ﻖ")
string = string.replace("ک","ﮏ")
string = string.replace("گ","ﮓ")
string = string.replace("ل","ﻞ")
string = string.replace("م","م")
string = string.replace("ن","ﻥ")
string = string.replace("و","ﻭ")
string = string.replace("ه","ﻩ")
string = string.replace("ی","ﯼ")
elif(value == "endPlus"):
string = string.replace("ا","ﺍ")
string = string.replace("آ","ﺁ")
string = string.replace("ب","ب")
string = string.replace("پ","پ")
string = string.replace("ت","ت")
string = string.replace("ث","ث")
string = string.replace("ج","ج")
string = string.replace("چ","چ")
string = string.replace("ح","ح")
string = string.replace("خ","خ")
string = string.replace("د","د")
string = string.replace("ذ","ذ")
string = string.replace("ر","ر")
string = string.replace("ز","ز")
string = string.replace("ژ","ژ")
string = string.replace("س","س")
string = string.replace("ش","ش")
string = string.replace("ص","ص")
string = string.replace("ض","ض")
string = string.replace("ط","ط")
string = string.replace("ظ","ظ")
string = string.replace("ع","ع")
string = string.replace("غ","غ")
string = string.replace("ف","ف")
string = string.replace("ق","ق")
string = string.replace("ک","ک")
string = string.replace("گ","گ")
string = string.replace("ل","ل")
string = string.replace("م","م")
string = string.replace("ن","ن")
string = string.replace("و","و")
string = string.replace("ه","ه")
string = string.replace("ی","ی")
return string
#--------------------------------------
# sql = "INSERT INTO student (username, password) VALUES (%s,%s)"
# res = requests.get('https://divar.ir/s/tehran/auto')
# # print(res.text)
# soup = BeautifulSoup(res.text,'html.parser')
# val = soup.find_all('div',attrs={'class':'kt-post-card__title'})
# val_Price = soup.find_all('div',attrs={'class':'kt-post-card__description'})
# # print(len(val) , len(val_Price))
# for i in range(len(val)):
# # print(i)
# trash = type_persian(val[i].text).split()
# trash_Price = type_persian(val_Price[i].text).split()
# # print(trash)
# # print(trash_Price)
# # print(type_persian(val_Price[i].text))
# reg = r'^(.*)$'
# for j in (type_persian(val_Price[i].text).split()):
# if (j == 'ﯼﻘﻔﺎﻮﺘ'):
# # print('####')
# name_care = trash[-1]
# input_condition = type_persian('توافقی')
# #####****************** DON'T EDITE **********
# # print(trash[-1] , type_persian('توافقی'))
# # str1 = ''.join(re.findall('ﯼﻘﻔﺎﻮﺘ',val_Price[i].text))
# ####$$$$$$$$$$$$$$$$$$$$$$
# values = (name_care,input_condition)
# mycursor.execute(sql,values)
# mydb.commit()
# print(mycursor.rowcount,"row was inserted")
################################################################
mycursor.execute("SELECT * FROM student")
for i in mycursor.fetchall():
print(i) | 37.287834 | 123 | 0.456152 | 1,386 | 12,566 | 4.038961 | 0.121212 | 0.282958 | 0.448017 | 0.088424 | 0.762415 | 0.761165 | 0.751161 | 0.730082 | 0.718292 | 0.705252 | 0 | 0.00419 | 0.354289 | 12,566 | 337 | 124 | 37.287834 | 0.685728 | 0.126293 | 0 | 0.367816 | 0 | 0 | 0.055459 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007663 | false | 0.003831 | 0.015326 | 0 | 0.030651 | 0.003831 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d0c89fed9e0433ff5b4cce8714e11d7a109714ad | 7,612 | py | Python | tests/test_isentropic_relations.py | Rigel09/CompAero | 79a2902880c5bf6030794d585a48fbbf0c7df344 | [
"MIT"
] | 1 | 2022-03-29T23:59:16.000Z | 2022-03-29T23:59:16.000Z | tests/test_isentropic_relations.py | Rigel09/CompAero | 79a2902880c5bf6030794d585a48fbbf0c7df344 | [
"MIT"
] | 7 | 2022-01-15T15:38:45.000Z | 2022-01-22T16:32:16.000Z | tests/test_isentropic_relations.py | Rigel09/CompAero | 79a2902880c5bf6030794d585a48fbbf0c7df344 | [
"MIT"
] | null | null | null | from pytest import approx
from CompAero.IsentropecRelations import IsentropicRelations as isr
from CompAero.internal import FlowState as FS
class TestIsentropicClassFuncs:
gamma = 1.4
# Test the Functions for Subsonic Case
#######################################################################################
def test_subsonic_func_to_t(self):
assert isr.calc_T0_T(0.5, self.gamma) == approx(1.0500, rel=1e-4)
def test_subsonic_func_mach_from_t0_t(self):
assert isr.calc_mach_from_T0_T(1.05, self.gamma) == approx(0.5, rel=1e-3)
def test_subsonic_func_p0_p(self):
assert isr.calc_P0_P(0.5, self.gamma) == approx(1.1862, rel=1e-4)
def test_subsonic_func_mach_from_p0_p(self):
assert isr.calc_mach_from_p0_p(1.186212645674475, self.gamma) == approx(0.5, rel=1e-3)
def test_subsonic_func_rho0_rho(self):
assert isr.calc_rho0_rho(0.5, self.gamma) == approx(1.1297, rel=1e-4)
def test_subsonic_func_mach_from_rho0_rho(self):
assert isr.calc_mach_from_rho0_rho(1.1297263272993634, self.gamma) == approx(0.5, rel=1e-3)
def test_subsonic_func_A_Astar(self):
assert isr.calc_A_Astar(0.5, self.gamma) == approx(1.3398, rel=1e-4)
def test_subsonic_func_mach_from_A_Astar(self):
assert isr.calc_mach_from_A_Astar(1.33984375, self.gamma, flowType=FS.SUB_SONIC) == approx(
0.5, rel=1e-4
)
# Test the Functions for Supersonic Case
#######################################################################################
def test_supersonic_func_to_t(self):
assert isr.calc_T0_T(1.5, self.gamma) == approx(1.45, rel=1e-4)
def test_supersonic_func_mach_from_t0_t(self):
assert isr.calc_mach_from_T0_T(1.45, self.gamma) == approx(1.5, rel=1e-3)
def test_supersonic_func_p0_p(self):
assert isr.calc_P0_P(1.5, self.gamma) == approx(3.6710, rel=1e-4)
def test_supersonic_func_mach_from_p0_p(self):
assert isr.calc_mach_from_p0_p(3.671030714559521, self.gamma) == approx(1.5, rel=1e-3)
def test_supersonic_func_rho0_rho(self):
assert isr.calc_rho0_rho(1.5, self.gamma) == approx(2.5317, rel=1e-4)
def test_supersonic_func_mach_from_rho0_rho(self):
assert isr.calc_mach_from_rho0_rho(2.5317453011566733, self.gamma) == approx(1.5, rel=1e-3)
def test_supersonic_func_A_Astar(self):
assert isr.calc_A_Astar(1.5, self.gamma) == approx(1.1762, rel=1e-4)
def test_supersonic_func_mach_from_A_Astar(self):
assert isr.calc_mach_from_A_Astar(1.17616705, self.gamma, flowType=FS.SUPER_SONIC) == approx(
1.5, rel=1e-4
)
class TestIsentropicClassSubsonic:
gamma = 1.4
def test_subsonic_construction_from_mach(self):
inst = isr(gamma=self.gamma, mach=0.5)
assert inst.mach == approx(0.5, rel=1e-2)
assert inst.gamma == approx(self.gamma, rel=1e-2)
assert inst.p0_p == approx(1.1862, rel=1e-4)
assert inst.t0_t == approx(1.05, rel=1e-3)
assert inst.rho0_rho == approx(1.1297, rel=1e-4)
assert inst.a_aStar == approx(1.3398, rel=1e-4)
assert inst.flowType == FS.SUB_SONIC
def test_subsonic_construction_from_p0_p(self):
inst = isr(gamma=self.gamma, p0_p=1.186212645674475)
assert inst.mach == approx(0.5, rel=1e-2)
assert inst.gamma == approx(self.gamma, rel=1e-2)
assert inst.p0_p == approx(1.1862, rel=1e-4)
assert inst.t0_t == approx(1.05, rel=1e-3)
assert inst.rho0_rho == approx(1.1297, rel=1e-4)
assert inst.a_aStar == approx(1.3398, rel=1e-4)
assert inst.flowType == FS.SUB_SONIC
def test_subsonic_construction_from_t0_t(self):
inst = isr(gamma=self.gamma, t0_t=1.05)
assert inst.mach == approx(0.5, rel=1e-2)
assert inst.gamma == approx(self.gamma, rel=1e-2)
assert inst.p0_p == approx(1.1862, rel=1e-4)
assert inst.t0_t == approx(1.05, rel=1e-3)
assert inst.rho0_rho == approx(1.1297, rel=1e-4)
assert inst.a_aStar == approx(1.3398, rel=1e-4)
assert inst.flowType == FS.SUB_SONIC
def test_subsonic_construction_from_rho0_rho(self):
inst = isr(gamma=self.gamma, rho0_rho=1.1297263272993634)
assert inst.mach == approx(0.5, rel=1e-2)
assert inst.gamma == approx(self.gamma, rel=1e-2)
assert inst.p0_p == approx(1.1862, rel=1e-4)
assert inst.t0_t == approx(1.05, rel=1e-3)
assert inst.rho0_rho == approx(1.1297, rel=1e-4)
assert inst.a_aStar == approx(1.3398, rel=1e-4)
assert inst.flowType == FS.SUB_SONIC
def test_subsonic_construction_from_A_Astar(self):
inst = isr(gamma=self.gamma, a_aStar=1.33984375, flowType=FS.SUB_SONIC)
assert inst.mach == approx(0.5, rel=1e-2)
assert inst.gamma == approx(self.gamma, rel=1e-2)
assert inst.p0_p == approx(1.1862, rel=1e-4)
assert inst.t0_t == approx(1.05, rel=1e-3)
assert inst.rho0_rho == approx(1.1297, rel=1e-4)
assert inst.a_aStar == approx(1.3398, rel=1e-4)
assert inst.flowType == FS.SUB_SONIC
class TestIsentropicClassSupersonic:
gamma = 1.4
def test_supersonic_construction_from_mach(self):
inst = isr(gamma=self.gamma, mach=1.5)
assert inst.mach == approx(1.5, rel=1e-2)
assert inst.gamma == approx(self.gamma, rel=1e-2)
assert inst.p0_p == approx(3.6710, rel=1e-4)
assert inst.t0_t == approx(1.45, rel=1e-3)
assert inst.rho0_rho == approx(2.5317, rel=1e-4)
assert inst.a_aStar == approx(1.1762, rel=1e-4)
assert inst.flowType == FS.SUPER_SONIC
def test_supersonic_construction_from_p0_p(self):
inst = isr(gamma=self.gamma, p0_p=3.671030714559521)
assert inst.mach == approx(1.5, rel=1e-2)
assert inst.gamma == approx(self.gamma, rel=1e-2)
assert inst.p0_p == approx(3.6710, rel=1e-4)
assert inst.t0_t == approx(1.45, rel=1e-3)
assert inst.rho0_rho == approx(2.5317, rel=1e-4)
assert inst.a_aStar == approx(1.1762, rel=1e-4)
assert inst.flowType == FS.SUPER_SONIC
def test_supersonic_construction_from_t0_t(self):
inst = isr(gamma=self.gamma, t0_t=1.45)
assert inst.mach == approx(1.5, rel=1e-2)
assert inst.gamma == approx(self.gamma, rel=1e-2)
assert inst.p0_p == approx(3.6710, rel=1e-4)
assert inst.t0_t == approx(1.45, rel=1e-3)
assert inst.rho0_rho == approx(2.5317, rel=1e-4)
assert inst.a_aStar == approx(1.1762, rel=1e-4)
assert inst.flowType == FS.SUPER_SONIC
def test_supersonic_construction_from_rho0_rho(self):
inst = isr(gamma=self.gamma, rho0_rho=2.5317453011566733)
assert inst.mach == approx(1.5, rel=1e-2)
assert inst.gamma == approx(self.gamma, rel=1e-2)
assert inst.p0_p == approx(3.6710, rel=1e-4)
assert inst.t0_t == approx(1.45, rel=1e-3)
assert inst.rho0_rho == approx(2.5317, rel=1e-4)
assert inst.a_aStar == approx(1.1762, rel=1e-4)
assert inst.flowType == FS.SUPER_SONIC
def test_supersonic_construction_from_A_Astar(self):
inst = isr(gamma=self.gamma, a_aStar=1.17616705)
assert inst.mach == approx(1.5, rel=1e-2)
assert inst.gamma == approx(self.gamma, rel=1e-2)
assert inst.p0_p == approx(3.6710, rel=1e-4)
assert inst.t0_t == approx(1.45, rel=1e-3)
assert inst.rho0_rho == approx(2.5317, rel=1e-4)
assert inst.a_aStar == approx(1.1762, rel=1e-4)
assert inst.flowType == FS.SUPER_SONIC
| 44 | 101 | 0.643589 | 1,247 | 7,612 | 3.738573 | 0.054531 | 0.08151 | 0.05148 | 0.07722 | 0.885457 | 0.855856 | 0.824539 | 0.824539 | 0.824539 | 0.739597 | 0 | 0.111606 | 0.204283 | 7,612 | 172 | 102 | 44.255814 | 0.658082 | 0.009853 | 0 | 0.540741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.637037 | 1 | 0.192593 | false | 0 | 0.022222 | 0 | 0.259259 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d0e5a5f43a9a065afdd0d5ea7ee9d0bf315541aa | 138 | py | Python | 8kyu/Get the mean of an array.py | walkgo/codewars_tasks | 4c0ab6f0e1d2181318fc15b12dd55ef565ecd223 | [
"MIT"
] | null | null | null | 8kyu/Get the mean of an array.py | walkgo/codewars_tasks | 4c0ab6f0e1d2181318fc15b12dd55ef565ecd223 | [
"MIT"
] | null | null | null | 8kyu/Get the mean of an array.py | walkgo/codewars_tasks | 4c0ab6f0e1d2181318fc15b12dd55ef565ecd223 | [
"MIT"
] | null | null | null | def get_average(marks):
return sum(marks) // len(marks)
# Best Practices
def get_average(marks):
return sum(marks) // len(marks) | 19.714286 | 35 | 0.688406 | 20 | 138 | 4.65 | 0.45 | 0.129032 | 0.27957 | 0.387097 | 0.860215 | 0.860215 | 0.860215 | 0.860215 | 0.860215 | 0 | 0 | 0 | 0.173913 | 138 | 7 | 36 | 19.714286 | 0.815789 | 0.101449 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 13 |
effb0261f7aea471a3dad9753c60a446aa6c3b3d | 7,838 | py | Python | hotkeynet/projects/warmane/hkn_script/mode/pvp.py | Mario-Kart-Felix/hotkeynet-project | 81b218e86ef85d69ea0e639937f765c7218c2686 | [
"MIT"
] | 2 | 2021-07-25T11:26:23.000Z | 2022-02-02T20:03:20.000Z | hotkeynet/projects/warmane/hkn_script/mode/pvp.py | Mario-Kart-Felix/hotkeynet-project | 81b218e86ef85d69ea0e639937f765c7218c2686 | [
"MIT"
] | null | null | null | hotkeynet/projects/warmane/hkn_script/mode/pvp.py | Mario-Kart-Felix/hotkeynet-project | 81b218e86ef85d69ea0e639937f765c7218c2686 | [
"MIT"
] | 2 | 2021-03-04T07:20:30.000Z | 2021-07-25T11:26:25.000Z | # -*- coding: utf-8 -*-
from ...config import Config, ActiveCharacterConfig
from ...constant.characters import CharacterFactory
from .....script import Script, SendLabel
from ...constant.talent_category_association import TC
from ... import act
from . import post_hooks
def post_hook_druid(config: 'Config', script: Script):
from .. import hk_g07_skills
hk_g07_skills.hk_alt_f1.actions = [
SendLabel(
name=TC.druid.name,
to=config.lbs_by_tc(tc=TC.druid),
actions=[
act.Druid.ALL_SPEC_CAT_STEALTH_MACRO,
]
)
]
class Mode:
@classmethod
def set_mode_pvp_grizzly_hill(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
# CharacterFactory.make_char_fatmulti1_litgoatdka_pvp_frost_dk().evolve(),
# CharacterFactory.make_char_fatmulti2_litgoatdkb_pvp_frost_dk().evolve(),
# CharacterFactory.make_char_fatmulti3_litgoatdkc_pvp_frost_dk().evolve(),
# CharacterFactory.make_char_fatmulti4_litgoatdkd_pvp_frost_dk().evolve(),
# CharacterFactory.make_char_fatmulti5_litgoatdke_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti11_litgugua_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti12_litgugub_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti13_litguguc_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti14_litgugud_pve_balance_druid().evolve(),
]
)
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config.set_leader1_window_index(11)
config.post_hook = post_hook_druid
@classmethod
def set_mode_pvp_wintergraps_team1(cls, config: Config):
config.game_client_config.use_1176_664_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_fatmulti1_litgoatdka_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fatmulti2_litgoatdkb_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fatmulti3_litgoatdkc_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fatmulti4_litgoatdkd_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fatmulti5_litgoatdke_pvp_frost_dk().evolve(),
CharacterFactory.make_char_fatmulti11_litgugua_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti12_litgugub_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti13_litguguc_pve_balance_druid().evolve(),
CharacterFactory.make_char_fatmulti14_litgugud_pvp_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti19_lgmsi_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti20_lgmsj_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti21_lgmsk_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti22_lgmsl_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fitsheep_kindhearted_pvp_destruction_warlock().evolve(),
CharacterFactory.make_char_fatmulti8_bunnysisters_pve_resto_druid().evolve(),
CharacterFactory.make_char_fatmulti9_glowyy_pve_holy_pala().evolve(),
CharacterFactory.make_char_makun7551_laoshou_retri_paladin().evolve(),
CharacterFactory.make_char_fatmulti23_lgsmm_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti24_lgsmn_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti25_lgsmo_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti26_lgsmp_pve_elemental_shaman().evolve(),
]
)
config.active_character_config.set_leader1_window_index(1)
config.active_character_config.set_leader2_window_index(6)
def post_hook(config: 'Config', script: Script):
print("set_mode_questing_wintergraps_team1")
from .. import hk_g07_skills
hk_g07_skills.hk_g.actions = [
SendLabel(
name=TC.dk.name,
to=config.lbs_by_tc(tc=TC.dk),
actions=[
act.Target.TARGET_FOCUS_TARGET,
act.DK.ALL_SPEC_DEATH_GRIP_KEY_G,
]
)
]
config.post_hook = post_hook
@classmethod
def set_mode_pvp_wintergrasp_wg_5_ppl_lgms_priest_ganjj_team(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_makun7551_ganjj_pve_blood_tank_dk().evolve(),
CharacterFactory.make_char_fatmulti19_lgmsi_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti20_lgmsj_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti21_lgmsk_pve_shadow_priest().evolve(),
CharacterFactory.make_char_fatmulti22_lgmsl_pve_shadow_priest().evolve(),
]
)
config.active_character_config.set_leader1_window_index(ind=10)
config.active_character_config.set_leader2_window_index(ind=15)
config.post_hook = [
post_hooks.litgoatdk_abcde_team_death_grip,
post_hooks.lgms_ijkl_shadow_priest_group,
]
@classmethod
def set_mode_pvp_wintergrasp_wg_5_ppl_lgsm_shaman_laoshou_team(cls, config: Config):
config.game_client_config.use_1600_900_resolution()
config.game_client_config.use_n_windows(22)
config.game_client_config.use_credential_list_default()
config.toggle_window_config.key1_to_25_window_index = list(range(1, 22 + 1))
config.toggle_window_config.round_robin_window_index = list(range(1, 22 + 1))
config.active_character_config = ActiveCharacterConfig(
active_characters=[
CharacterFactory.make_char_makun7551_laoshou_protect_paladin().evolve(),
CharacterFactory.make_char_fatmulti23_lgsmm_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti24_lgsmn_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti25_lgsmo_pve_elemental_shaman().evolve(),
CharacterFactory.make_char_fatmulti26_lgsmp_pve_elemental_shaman().evolve(),
]
)
config.active_character_config.set_leader1_window_index(ind=10)
config.active_character_config.set_leader2_window_index(ind=19)
| 51.565789 | 99 | 0.705537 | 873 | 7,838 | 5.793814 | 0.186712 | 0.162119 | 0.194543 | 0.219454 | 0.847568 | 0.819692 | 0.817517 | 0.812772 | 0.782127 | 0.752471 | 0 | 0.030269 | 0.215999 | 7,838 | 151 | 100 | 51.907285 | 0.79284 | 0.049247 | 0 | 0.508065 | 0 | 0 | 0.006313 | 0.004701 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048387 | false | 0 | 0.064516 | 0 | 0.120968 | 0.008065 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
4bc8c5a84f50653a497e5e1146a9747b6c154d00 | 1,162 | py | Python | dashboard/dashboard_pages.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | null | null | null | dashboard/dashboard_pages.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | null | null | null | dashboard/dashboard_pages.py | cfleschhut/virushack | 2fe7ded0be8672b066edef7fed52573794db2ba5 | [
"Apache-2.0"
] | null | null | null | import streamlit as st
import requests
def about_us():
response = requests.get('https://raw.githubusercontent.com/socialdistancingdashboard/virushack/master/dashboard/about_us.md')
st.markdown("""
<style type='text/css'>
img {
max-width: 99%;
}
</style>
""", unsafe_allow_html=True)
st.markdown(response.text, unsafe_allow_html=True)
def about_our_data():
response = requests.get('https://raw.githubusercontent.com/socialdistancingdashboard/virushack/master/dashboard/about_our_data.md')
st.markdown("""
<style type='text/css'>
img {
max-width: 99%;
}
</style>
""", unsafe_allow_html=True)
st.markdown(response.text, unsafe_allow_html=True)
def about_team():
response = requests.get('https://raw.githubusercontent.com/socialdistancingdashboard/virushack/master/dashboard/das_team.md')
st.markdown("""
<style type='text/css'>
img {
max-width: 99%;
}
</style>
""", unsafe_allow_html=True)
st.markdown(response.text, unsafe_allow_html=True)
| 31.405405 | 135 | 0.621343 | 128 | 1,162 | 5.484375 | 0.28125 | 0.08547 | 0.128205 | 0.162393 | 0.900285 | 0.900285 | 0.900285 | 0.900285 | 0.900285 | 0.900285 | 0 | 0.006834 | 0.244406 | 1,162 | 36 | 136 | 32.277778 | 0.792711 | 0 | 0 | 0.65625 | 0 | 0 | 0.563307 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.0625 | 0 | 0.15625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4be0176ff3aa682c49ab07674c577edec9ed2147 | 55,508 | py | Python | msgraph-cli-extensions/v1_0/planner_v1_0/azext_planner_v1_0/vendored_sdks/planner/models/_planner_enums.py | thewahome/msgraph-cli | 33127d9efa23a0e5f5303c93242fbdbb73348671 | [
"MIT"
] | null | null | null | msgraph-cli-extensions/v1_0/planner_v1_0/azext_planner_v1_0/vendored_sdks/planner/models/_planner_enums.py | thewahome/msgraph-cli | 33127d9efa23a0e5f5303c93242fbdbb73348671 | [
"MIT"
] | 22 | 2022-03-29T22:54:37.000Z | 2022-03-29T22:55:27.000Z | msgraph-cli-extensions/v1_0/planner_v1_0/azext_planner_v1_0/vendored_sdks/planner/models/_planner_enums.py | thewahome/msgraph-cli | 33127d9efa23a0e5f5303c93242fbdbb73348671 | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from enum import Enum, EnumMeta
from six import with_metaclass
class _CaseInsensitiveEnumMeta(EnumMeta):
def __getitem__(self, name):
return super().__getitem__(name.upper())
def __getattr__(cls, name):
"""Return the enum member matching `name`
We use __getattr__ instead of descriptors or inserting into the enum
class' __dict__ in order to support `name` and `value` being both
properties for enum members (which live in the class' __dict__) and
enum members themselves.
"""
try:
return cls._member_map_[name.upper()]
except KeyError:
raise AttributeError(name)
class Enum100(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum101(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum102(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum103(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINTS_BY_ASSIGNEE = "orderHintsByAssignee"
UNASSIGNED_ORDER_HINT = "unassignedOrderHint"
class Enum104(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum105(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CHECKLIST = "checklist"
DESCRIPTION = "description"
PREVIEW_TYPE = "previewType"
REFERENCES = "references"
class Enum106(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum107(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CATEGORY_DESCRIPTIONS = "categoryDescriptions"
SHARED_WITH = "sharedWith"
class Enum108(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
ACTIVE_CHECKLIST_ITEM_COUNT_DESC = "activeChecklistItemCount desc"
APPLIED_CATEGORIES = "appliedCategories"
APPLIED_CATEGORIES_DESC = "appliedCategories desc"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNEE_PRIORITY_DESC = "assigneePriority desc"
ASSIGNMENTS = "assignments"
ASSIGNMENTS_DESC = "assignments desc"
BUCKET_ID = "bucketId"
BUCKET_ID_DESC = "bucketId desc"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
CHECKLIST_ITEM_COUNT_DESC = "checklistItemCount desc"
COMPLETED_BY = "completedBy"
COMPLETED_BY_DESC = "completedBy desc"
COMPLETED_DATE_TIME = "completedDateTime"
COMPLETED_DATE_TIME_DESC = "completedDateTime desc"
CONVERSATION_THREAD_ID = "conversationThreadId"
CONVERSATION_THREAD_ID_DESC = "conversationThreadId desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
DUE_DATE_TIME = "dueDateTime"
DUE_DATE_TIME_DESC = "dueDateTime desc"
HAS_DESCRIPTION = "hasDescription"
HAS_DESCRIPTION_DESC = "hasDescription desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PERCENT_COMPLETE = "percentComplete"
PERCENT_COMPLETE_DESC = "percentComplete desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
PREVIEW_TYPE = "previewType"
PREVIEW_TYPE_DESC = "previewType desc"
REFERENCE_COUNT = "referenceCount"
REFERENCE_COUNT_DESC = "referenceCount desc"
START_DATE_TIME = "startDateTime"
START_DATE_TIME_DESC = "startDateTime desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum109(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum11(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
NAME = "name"
ORDER_HINT = "orderHint"
PLAN_ID = "planId"
TASKS = "tasks"
class Enum110(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum111(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum112(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum113(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINTS_BY_ASSIGNEE = "orderHintsByAssignee"
UNASSIGNED_ORDER_HINT = "unassignedOrderHint"
class Enum114(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum115(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CHECKLIST = "checklist"
DESCRIPTION = "description"
PREVIEW_TYPE = "previewType"
REFERENCES = "references"
class Enum116(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum117(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
ACTIVE_CHECKLIST_ITEM_COUNT_DESC = "activeChecklistItemCount desc"
APPLIED_CATEGORIES = "appliedCategories"
APPLIED_CATEGORIES_DESC = "appliedCategories desc"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNEE_PRIORITY_DESC = "assigneePriority desc"
ASSIGNMENTS = "assignments"
ASSIGNMENTS_DESC = "assignments desc"
BUCKET_ID = "bucketId"
BUCKET_ID_DESC = "bucketId desc"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
CHECKLIST_ITEM_COUNT_DESC = "checklistItemCount desc"
COMPLETED_BY = "completedBy"
COMPLETED_BY_DESC = "completedBy desc"
COMPLETED_DATE_TIME = "completedDateTime"
COMPLETED_DATE_TIME_DESC = "completedDateTime desc"
CONVERSATION_THREAD_ID = "conversationThreadId"
CONVERSATION_THREAD_ID_DESC = "conversationThreadId desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
DUE_DATE_TIME = "dueDateTime"
DUE_DATE_TIME_DESC = "dueDateTime desc"
HAS_DESCRIPTION = "hasDescription"
HAS_DESCRIPTION_DESC = "hasDescription desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PERCENT_COMPLETE = "percentComplete"
PERCENT_COMPLETE_DESC = "percentComplete desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
PREVIEW_TYPE = "previewType"
PREVIEW_TYPE_DESC = "previewType desc"
REFERENCE_COUNT = "referenceCount"
REFERENCE_COUNT_DESC = "referenceCount desc"
START_DATE_TIME = "startDateTime"
START_DATE_TIME_DESC = "startDateTime desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum118(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum119(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum120(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum121(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum122(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINTS_BY_ASSIGNEE = "orderHintsByAssignee"
UNASSIGNED_ORDER_HINT = "unassignedOrderHint"
class Enum123(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum124(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CHECKLIST = "checklist"
DESCRIPTION = "description"
PREVIEW_TYPE = "previewType"
REFERENCES = "references"
class Enum125(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum13(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
ACTIVE_CHECKLIST_ITEM_COUNT_DESC = "activeChecklistItemCount desc"
APPLIED_CATEGORIES = "appliedCategories"
APPLIED_CATEGORIES_DESC = "appliedCategories desc"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNEE_PRIORITY_DESC = "assigneePriority desc"
ASSIGNMENTS = "assignments"
ASSIGNMENTS_DESC = "assignments desc"
BUCKET_ID = "bucketId"
BUCKET_ID_DESC = "bucketId desc"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
CHECKLIST_ITEM_COUNT_DESC = "checklistItemCount desc"
COMPLETED_BY = "completedBy"
COMPLETED_BY_DESC = "completedBy desc"
COMPLETED_DATE_TIME = "completedDateTime"
COMPLETED_DATE_TIME_DESC = "completedDateTime desc"
CONVERSATION_THREAD_ID = "conversationThreadId"
CONVERSATION_THREAD_ID_DESC = "conversationThreadId desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
DUE_DATE_TIME = "dueDateTime"
DUE_DATE_TIME_DESC = "dueDateTime desc"
HAS_DESCRIPTION = "hasDescription"
HAS_DESCRIPTION_DESC = "hasDescription desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PERCENT_COMPLETE = "percentComplete"
PERCENT_COMPLETE_DESC = "percentComplete desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
PREVIEW_TYPE = "previewType"
PREVIEW_TYPE_DESC = "previewType desc"
REFERENCE_COUNT = "referenceCount"
REFERENCE_COUNT_DESC = "referenceCount desc"
START_DATE_TIME = "startDateTime"
START_DATE_TIME_DESC = "startDateTime desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum14(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum16(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum18(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINTS_BY_ASSIGNEE = "orderHintsByAssignee"
UNASSIGNED_ORDER_HINT = "unassignedOrderHint"
class Enum19(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum20(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CHECKLIST = "checklist"
DESCRIPTION = "description"
PREVIEW_TYPE = "previewType"
REFERENCES = "references"
class Enum21(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum22(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CATEGORY_DESCRIPTIONS = "categoryDescriptions"
SHARED_WITH = "sharedWith"
class Enum23(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
ACTIVE_CHECKLIST_ITEM_COUNT_DESC = "activeChecklistItemCount desc"
APPLIED_CATEGORIES = "appliedCategories"
APPLIED_CATEGORIES_DESC = "appliedCategories desc"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNEE_PRIORITY_DESC = "assigneePriority desc"
ASSIGNMENTS = "assignments"
ASSIGNMENTS_DESC = "assignments desc"
BUCKET_ID = "bucketId"
BUCKET_ID_DESC = "bucketId desc"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
CHECKLIST_ITEM_COUNT_DESC = "checklistItemCount desc"
COMPLETED_BY = "completedBy"
COMPLETED_BY_DESC = "completedBy desc"
COMPLETED_DATE_TIME = "completedDateTime"
COMPLETED_DATE_TIME_DESC = "completedDateTime desc"
CONVERSATION_THREAD_ID = "conversationThreadId"
CONVERSATION_THREAD_ID_DESC = "conversationThreadId desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
DUE_DATE_TIME = "dueDateTime"
DUE_DATE_TIME_DESC = "dueDateTime desc"
HAS_DESCRIPTION = "hasDescription"
HAS_DESCRIPTION_DESC = "hasDescription desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PERCENT_COMPLETE = "percentComplete"
PERCENT_COMPLETE_DESC = "percentComplete desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
PREVIEW_TYPE = "previewType"
PREVIEW_TYPE_DESC = "previewType desc"
REFERENCE_COUNT = "referenceCount"
REFERENCE_COUNT_DESC = "referenceCount desc"
START_DATE_TIME = "startDateTime"
START_DATE_TIME_DESC = "startDateTime desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum24(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum25(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum26(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum27(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum28(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINTS_BY_ASSIGNEE = "orderHintsByAssignee"
UNASSIGNED_ORDER_HINT = "unassignedOrderHint"
class Enum29(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum30(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CHECKLIST = "checklist"
DESCRIPTION = "description"
PREVIEW_TYPE = "previewType"
REFERENCES = "references"
class Enum31(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum33(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
BUCKETS = "buckets"
PLANS = "plans"
TASKS = "tasks"
class Enum34(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
NAME = "name"
NAME_DESC = "name desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
class Enum35(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
NAME = "name"
ORDER_HINT = "orderHint"
PLAN_ID = "planId"
TASKS = "tasks"
class Enum36(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
TASKS = "tasks"
class Enum37(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
NAME = "name"
ORDER_HINT = "orderHint"
PLAN_ID = "planId"
TASKS = "tasks"
class Enum38(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
TASKS = "tasks"
class Enum39(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
ACTIVE_CHECKLIST_ITEM_COUNT_DESC = "activeChecklistItemCount desc"
APPLIED_CATEGORIES = "appliedCategories"
APPLIED_CATEGORIES_DESC = "appliedCategories desc"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNEE_PRIORITY_DESC = "assigneePriority desc"
ASSIGNMENTS = "assignments"
ASSIGNMENTS_DESC = "assignments desc"
BUCKET_ID = "bucketId"
BUCKET_ID_DESC = "bucketId desc"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
CHECKLIST_ITEM_COUNT_DESC = "checklistItemCount desc"
COMPLETED_BY = "completedBy"
COMPLETED_BY_DESC = "completedBy desc"
COMPLETED_DATE_TIME = "completedDateTime"
COMPLETED_DATE_TIME_DESC = "completedDateTime desc"
CONVERSATION_THREAD_ID = "conversationThreadId"
CONVERSATION_THREAD_ID_DESC = "conversationThreadId desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
DUE_DATE_TIME = "dueDateTime"
DUE_DATE_TIME_DESC = "dueDateTime desc"
HAS_DESCRIPTION = "hasDescription"
HAS_DESCRIPTION_DESC = "hasDescription desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PERCENT_COMPLETE = "percentComplete"
PERCENT_COMPLETE_DESC = "percentComplete desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
PREVIEW_TYPE = "previewType"
PREVIEW_TYPE_DESC = "previewType desc"
REFERENCE_COUNT = "referenceCount"
REFERENCE_COUNT_DESC = "referenceCount desc"
START_DATE_TIME = "startDateTime"
START_DATE_TIME_DESC = "startDateTime desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum40(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum41(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum42(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum43(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum44(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINTS_BY_ASSIGNEE = "orderHintsByAssignee"
UNASSIGNED_ORDER_HINT = "unassignedOrderHint"
class Enum45(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum46(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CHECKLIST = "checklist"
DESCRIPTION = "description"
PREVIEW_TYPE = "previewType"
REFERENCES = "references"
class Enum47(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum48(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
OWNER = "owner"
OWNER_DESC = "owner desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum49(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
OWNER = "owner"
TITLE = "title"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Enum50(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Enum51(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
OWNER = "owner"
TITLE = "title"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Enum52(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Enum53(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
NAME = "name"
NAME_DESC = "name desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
class Enum54(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
NAME = "name"
ORDER_HINT = "orderHint"
PLAN_ID = "planId"
TASKS = "tasks"
class Enum55(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
TASKS = "tasks"
class Enum56(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
NAME = "name"
ORDER_HINT = "orderHint"
PLAN_ID = "planId"
TASKS = "tasks"
class Enum57(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
TASKS = "tasks"
class Enum58(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
ACTIVE_CHECKLIST_ITEM_COUNT_DESC = "activeChecklistItemCount desc"
APPLIED_CATEGORIES = "appliedCategories"
APPLIED_CATEGORIES_DESC = "appliedCategories desc"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNEE_PRIORITY_DESC = "assigneePriority desc"
ASSIGNMENTS = "assignments"
ASSIGNMENTS_DESC = "assignments desc"
BUCKET_ID = "bucketId"
BUCKET_ID_DESC = "bucketId desc"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
CHECKLIST_ITEM_COUNT_DESC = "checklistItemCount desc"
COMPLETED_BY = "completedBy"
COMPLETED_BY_DESC = "completedBy desc"
COMPLETED_DATE_TIME = "completedDateTime"
COMPLETED_DATE_TIME_DESC = "completedDateTime desc"
CONVERSATION_THREAD_ID = "conversationThreadId"
CONVERSATION_THREAD_ID_DESC = "conversationThreadId desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
DUE_DATE_TIME = "dueDateTime"
DUE_DATE_TIME_DESC = "dueDateTime desc"
HAS_DESCRIPTION = "hasDescription"
HAS_DESCRIPTION_DESC = "hasDescription desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PERCENT_COMPLETE = "percentComplete"
PERCENT_COMPLETE_DESC = "percentComplete desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
PREVIEW_TYPE = "previewType"
PREVIEW_TYPE_DESC = "previewType desc"
REFERENCE_COUNT = "referenceCount"
REFERENCE_COUNT_DESC = "referenceCount desc"
START_DATE_TIME = "startDateTime"
START_DATE_TIME_DESC = "startDateTime desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum59(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum6(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
OWNER = "owner"
TITLE = "title"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Enum60(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum61(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum62(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum63(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINTS_BY_ASSIGNEE = "orderHintsByAssignee"
UNASSIGNED_ORDER_HINT = "unassignedOrderHint"
class Enum64(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum65(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CHECKLIST = "checklist"
DESCRIPTION = "description"
PREVIEW_TYPE = "previewType"
REFERENCES = "references"
class Enum66(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum67(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CATEGORY_DESCRIPTIONS = "categoryDescriptions"
SHARED_WITH = "sharedWith"
class Enum68(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
ACTIVE_CHECKLIST_ITEM_COUNT_DESC = "activeChecklistItemCount desc"
APPLIED_CATEGORIES = "appliedCategories"
APPLIED_CATEGORIES_DESC = "appliedCategories desc"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNEE_PRIORITY_DESC = "assigneePriority desc"
ASSIGNMENTS = "assignments"
ASSIGNMENTS_DESC = "assignments desc"
BUCKET_ID = "bucketId"
BUCKET_ID_DESC = "bucketId desc"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
CHECKLIST_ITEM_COUNT_DESC = "checklistItemCount desc"
COMPLETED_BY = "completedBy"
COMPLETED_BY_DESC = "completedBy desc"
COMPLETED_DATE_TIME = "completedDateTime"
COMPLETED_DATE_TIME_DESC = "completedDateTime desc"
CONVERSATION_THREAD_ID = "conversationThreadId"
CONVERSATION_THREAD_ID_DESC = "conversationThreadId desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
DUE_DATE_TIME = "dueDateTime"
DUE_DATE_TIME_DESC = "dueDateTime desc"
HAS_DESCRIPTION = "hasDescription"
HAS_DESCRIPTION_DESC = "hasDescription desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PERCENT_COMPLETE = "percentComplete"
PERCENT_COMPLETE_DESC = "percentComplete desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
PREVIEW_TYPE = "previewType"
PREVIEW_TYPE_DESC = "previewType desc"
REFERENCE_COUNT = "referenceCount"
REFERENCE_COUNT_DESC = "referenceCount desc"
START_DATE_TIME = "startDateTime"
START_DATE_TIME_DESC = "startDateTime desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum69(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum70(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum71(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum72(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum73(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINTS_BY_ASSIGNEE = "orderHintsByAssignee"
UNASSIGNED_ORDER_HINT = "unassignedOrderHint"
class Enum74(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum75(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CHECKLIST = "checklist"
DESCRIPTION = "description"
PREVIEW_TYPE = "previewType"
REFERENCES = "references"
class Enum76(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum77(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
ACTIVE_CHECKLIST_ITEM_COUNT_DESC = "activeChecklistItemCount desc"
APPLIED_CATEGORIES = "appliedCategories"
APPLIED_CATEGORIES_DESC = "appliedCategories desc"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNEE_PRIORITY_DESC = "assigneePriority desc"
ASSIGNMENTS = "assignments"
ASSIGNMENTS_DESC = "assignments desc"
BUCKET_ID = "bucketId"
BUCKET_ID_DESC = "bucketId desc"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
CHECKLIST_ITEM_COUNT_DESC = "checklistItemCount desc"
COMPLETED_BY = "completedBy"
COMPLETED_BY_DESC = "completedBy desc"
COMPLETED_DATE_TIME = "completedDateTime"
COMPLETED_DATE_TIME_DESC = "completedDateTime desc"
CONVERSATION_THREAD_ID = "conversationThreadId"
CONVERSATION_THREAD_ID_DESC = "conversationThreadId desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
DUE_DATE_TIME = "dueDateTime"
DUE_DATE_TIME_DESC = "dueDateTime desc"
HAS_DESCRIPTION = "hasDescription"
HAS_DESCRIPTION_DESC = "hasDescription desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PERCENT_COMPLETE = "percentComplete"
PERCENT_COMPLETE_DESC = "percentComplete desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
PREVIEW_TYPE = "previewType"
PREVIEW_TYPE_DESC = "previewType desc"
REFERENCE_COUNT = "referenceCount"
REFERENCE_COUNT_DESC = "referenceCount desc"
START_DATE_TIME = "startDateTime"
START_DATE_TIME_DESC = "startDateTime desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum78(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum79(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum8(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
NAME = "name"
NAME_DESC = "name desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
class Enum80(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum81(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Enum82(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINTS_BY_ASSIGNEE = "orderHintsByAssignee"
UNASSIGNED_ORDER_HINT = "unassignedOrderHint"
class Enum83(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum84(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CHECKLIST = "checklist"
DESCRIPTION = "description"
PREVIEW_TYPE = "previewType"
REFERENCES = "references"
class Enum85(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ORDER_HINT = "orderHint"
class Enum86(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
PLANS = "plans"
TASKS = "tasks"
class Enum87(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
PLANS = "plans"
TASKS = "tasks"
class Enum88(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
OWNER = "owner"
OWNER_DESC = "owner desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum89(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
OWNER = "owner"
TITLE = "title"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Enum9(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
NAME = "name"
ORDER_HINT = "orderHint"
PLAN_ID = "planId"
TASKS = "tasks"
class Enum90(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Enum91(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
OWNER = "owner"
TITLE = "title"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Enum92(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Enum93(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
NAME = "name"
NAME_DESC = "name desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
class Enum94(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
NAME = "name"
ORDER_HINT = "orderHint"
PLAN_ID = "planId"
TASKS = "tasks"
class Enum95(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
TASKS = "tasks"
class Enum96(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
NAME = "name"
ORDER_HINT = "orderHint"
PLAN_ID = "planId"
TASKS = "tasks"
class Enum97(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
TASKS = "tasks"
class Enum98(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
ACTIVE_CHECKLIST_ITEM_COUNT_DESC = "activeChecklistItemCount desc"
APPLIED_CATEGORIES = "appliedCategories"
APPLIED_CATEGORIES_DESC = "appliedCategories desc"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNEE_PRIORITY_DESC = "assigneePriority desc"
ASSIGNMENTS = "assignments"
ASSIGNMENTS_DESC = "assignments desc"
BUCKET_ID = "bucketId"
BUCKET_ID_DESC = "bucketId desc"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
CHECKLIST_ITEM_COUNT_DESC = "checklistItemCount desc"
COMPLETED_BY = "completedBy"
COMPLETED_BY_DESC = "completedBy desc"
COMPLETED_DATE_TIME = "completedDateTime"
COMPLETED_DATE_TIME_DESC = "completedDateTime desc"
CONVERSATION_THREAD_ID = "conversationThreadId"
CONVERSATION_THREAD_ID_DESC = "conversationThreadId desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
DUE_DATE_TIME = "dueDateTime"
DUE_DATE_TIME_DESC = "dueDateTime desc"
HAS_DESCRIPTION = "hasDescription"
HAS_DESCRIPTION_DESC = "hasDescription desc"
ORDER_HINT = "orderHint"
ORDER_HINT_DESC = "orderHint desc"
PERCENT_COMPLETE = "percentComplete"
PERCENT_COMPLETE_DESC = "percentComplete desc"
PLAN_ID = "planId"
PLAN_ID_DESC = "planId desc"
PREVIEW_TYPE = "previewType"
PREVIEW_TYPE_DESC = "previewType desc"
REFERENCE_COUNT = "referenceCount"
REFERENCE_COUNT_DESC = "referenceCount desc"
START_DATE_TIME = "startDateTime"
START_DATE_TIME_DESC = "startDateTime desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Enum99(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ACTIVE_CHECKLIST_ITEM_COUNT = "activeChecklistItemCount"
APPLIED_CATEGORIES = "appliedCategories"
ASSIGNEE_PRIORITY = "assigneePriority"
ASSIGNMENTS = "assignments"
BUCKET_ID = "bucketId"
CHECKLIST_ITEM_COUNT = "checklistItemCount"
COMPLETED_BY = "completedBy"
COMPLETED_DATE_TIME = "completedDateTime"
CONVERSATION_THREAD_ID = "conversationThreadId"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
DUE_DATE_TIME = "dueDateTime"
HAS_DESCRIPTION = "hasDescription"
ORDER_HINT = "orderHint"
PERCENT_COMPLETE = "percentComplete"
PLAN_ID = "planId"
PREVIEW_TYPE = "previewType"
REFERENCE_COUNT = "referenceCount"
START_DATE_TIME = "startDateTime"
TITLE = "title"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Get0ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
BUCKETS = "buckets"
PLANS = "plans"
TASKS = "tasks"
class Get10ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Get1ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
PLANS = "plans"
class Get2ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
PLANS = "plans"
class Get3ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Get4ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
TASKS = "tasks"
class Get5ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
ASSIGNED_TO_TASK_BOARD_FORMAT = "assignedToTaskBoardFormat"
BUCKET_TASK_BOARD_FORMAT = "bucketTaskBoardFormat"
DETAILS = "details"
PROGRESS_TASK_BOARD_FORMAT = "progressTaskBoardFormat"
class Get6ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
ID_DESC = "id desc"
CREATED_BY = "createdBy"
CREATED_BY_DESC = "createdBy desc"
CREATED_DATE_TIME = "createdDateTime"
CREATED_DATE_TIME_DESC = "createdDateTime desc"
OWNER = "owner"
OWNER_DESC = "owner desc"
TITLE = "title"
TITLE_DESC = "title desc"
class Get7ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ID = "id"
CREATED_BY = "createdBy"
CREATED_DATE_TIME = "createdDateTime"
OWNER = "owner"
TITLE = "title"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Get8ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
BUCKETS = "buckets"
DETAILS = "details"
TASKS = "tasks"
class Get9ItemsItem(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
ASTERISK = "*"
TASKS = "tasks"
class MicrosoftGraphPlannerPreviewType(with_metaclass(_CaseInsensitiveEnumMeta, str, Enum)):
AUTOMATIC = "automatic"
NO_PREVIEW = "noPreview"
CHECKLIST = "checklist"
DESCRIPTION = "description"
REFERENCE = "reference"
| 33.559855 | 94 | 0.733047 | 5,353 | 55,508 | 7.238184 | 0.053802 | 0.03221 | 0.11707 | 0.126826 | 0.957234 | 0.95535 | 0.95535 | 0.952485 | 0.947659 | 0.93109 | 0 | 0.005794 | 0.179109 | 55,508 | 1,653 | 95 | 33.580157 | 0.844533 | 0.012971 | 0 | 0.899566 | 0 | 0 | 0.286654 | 0.061167 | 0 | 0 | 0 | 0 | 0 | 1 | 0.001445 | false | 0 | 0.001445 | 0.000723 | 0.997832 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
4be114d8504ea7e02828a6db9e6cccc36583e71c | 133 | py | Python | billingservice/.secret/rq_access.py | mediatube/open-ymds | 26be17ef798bb640cd9d553ac232fcb2022a52cb | [
"Apache-2.0"
] | 30 | 2018-10-04T08:34:21.000Z | 2021-04-19T07:53:17.000Z | billingservice/.secret/rq_access.py | mediatube/open-ymds | 26be17ef798bb640cd9d553ac232fcb2022a52cb | [
"Apache-2.0"
] | null | null | null | billingservice/.secret/rq_access.py | mediatube/open-ymds | 26be17ef798bb640cd9d553ac232fcb2022a52cb | [
"Apache-2.0"
] | 3 | 2018-10-08T02:18:58.000Z | 2020-07-16T19:58:07.000Z | host = 'xxx.xxx.xxx.xxx'
port = 6379
password = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' | 44.333333 | 96 | 0.864662 | 9 | 133 | 12.777778 | 0.666667 | 0.156522 | 0.156522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032 | 0.06015 | 133 | 3 | 96 | 44.333333 | 0.888 | 0 | 0 | 0 | 0 | 0 | 0.731343 | 0.619403 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0.333333 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
ef1a39e3290094122d46a4b2bb78547f32018774 | 35,765 | py | Python | startup/users/30-user-Ferron.py | NSLS-II-SMI/profile_collection | c1e2236a7520f605ac85e7591f05682add06357c | [
"BSD-3-Clause"
] | null | null | null | startup/users/30-user-Ferron.py | NSLS-II-SMI/profile_collection | c1e2236a7520f605ac85e7591f05682add06357c | [
"BSD-3-Clause"
] | 13 | 2018-09-25T19:35:08.000Z | 2021-01-15T20:42:26.000Z | startup/users/30-user-Ferron.py | NSLS-II-SMI/profile_collection | c1e2236a7520f605ac85e7591f05682add06357c | [
"BSD-3-Clause"
] | 3 | 2019-09-06T01:40:59.000Z | 2020-07-01T20:27:39.000Z |
def xrr_spol_waxs(t=1):
# names = [ 'ps_ref', 'pss_ref', 'ps_pss_bilayer', 'y6_ref', 'n2200_ref', 'si_ref']
# x_piezo = [ 57000, 43000, 17000, -8000, -30000, -40000]
# x_hexa = [ 12, 0, 0, 0, 0, -14]
# y_piezo = [ 5500, 5500, 5500, 5500, 5500, 5500]
# z_piezo = [ 0, 0, 0, 0, 0, 0]
energies = np.arange(2445, 2470, 5).tolist() + np.arange(2470, 2480, 1).tolist() + np.arange(2480, 2490, 2).tolist()+ np.arange(2490, 2501, 5).tolist()
energies1 = np.arange(2447, 2477, 5).tolist() + np.arange(2477, 2487, 1).tolist() + np.arange(2487, 2497, 2).tolist()+ np.arange(2497, 2508, 5).tolist()
names = [ 'ps_pss_bilayer3', 'n2200_pete', 'y6']
x_piezo = [ 20000, 0, -15000]
x_hexa = [ 0, 0, 0]
y_piezo = [ 5500, 5500, 5500]
z_piezo = [ 0, 0, 0]
ener = [energies1, energies, energies]
assert len(x_piezo) == len(names), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(names)})'
assert len(x_piezo) == len(x_hexa), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(x_hexa)})'
assert len(x_piezo) == len(y_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(y_piezo)})'
assert len(x_piezo) == len(z_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(z_piezo)})'
assert len(x_piezo) == len(ener), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(ener)})'
dets = [pil900KW]
waxs_arc = [1]
# #List of incident angles clustured in subsection for attenuators
# ai_lists = [[np.linspace(0.03, 1.03, 51).tolist() + np.linspace(1.05, 2.01, 33).tolist()] + [np.linspace(2.01, 2.51, 26).tolist()] +
# [np.linspace(0.51, 1.5, 34).tolist()] + [np.linspace(1.55, 4, 50).tolist()] + [np.linspace(4, 6, 41).tolist()] + [np.linspace(6, 8, 41).tolist()]]
# ai_lists = [[np.linspace(0.03, 1.03, 51).tolist() + np.linspace(1.05, 2.01, 33).tolist()] + [np.linspace(2.01, 2.51, 26).tolist()] +
# [np.linspace(0.87, 1.17, 11).tolist()] + [np.linspace(1.2, 1.5, 11).tolist()] + [np.linspace(1.55, 2.7, 24).tolist()] +
# [np.linspace(2.75, 4, 26).tolist()] + [np.linspace(4, 6, 41).tolist()] + [np.linspace(6, 8, 41).tolist()]]
ai_lists = [[np.linspace(0.03, 1.035, 68).tolist()] + [np.linspace(1.05, 2.01, 49).tolist()] + [np.linspace(2.01, 3.01, 51).tolist()]]
for name, xs, xs_hexa, zs, ys, eners in zip(names, x_piezo, x_hexa, z_piezo, y_piezo, ener):
yield from bps.mv(piezo.x, xs)
yield from bps.mv(stage.x, xs_hexa)
yield from bps.mv(piezo.y, ys)
yield from bps.mv(piezo.z, zs)
yield from alignement_gisaxs(angle = 0.15)
ai0 = piezo.th.position
for wa in waxs_arc:
yield from bps.mv(waxs.arc, wa)
for energ in eners:
yield from bps.mv(energy, energ)
yield from bps.sleep(5)
yield from bps.mvr(piezo.x, -300)
#ai_list should be a list of list. No change of attenuation inside one list
for k, ai_list in enumerate(ai_lists[0]):
ai_list = [round(1000 * x, 4) for x in ai_list]
ai_list = np.asarray(ai_list) / 1000
print(ai_list)
# yield from calc_absorbers(num=k)
absorbers, exp_time = yield from calc_absorbers_expt(num=k)
#iterate over the angle stored in one list
for l, ais in enumerate(ai_list):
yield from bps.mv(piezo.th, ai0 + ais)
yield from bps.sleep(0.5)
det_exposure_time(exp_time,exp_time)
bpm = xbpm3.sumX.get()
name_fmt = '{sample}_aiscan_{energy}keV_ai{angle}deg_wa{waxs}_abs{absorber}_bpm{bpm}_time{time}'
sample_name = name_fmt.format(sample=name,
energy = '%4.2f'%energ,
angle ='%4.3f'%ais,
waxs ='%2.1f'%wa,
absorber = absorbers,
bpm = '%2.3f'%bpm,
time = '%1.1f'%exp_time)
sample_id(user_name='TF', sample_name=sample_name)
print(f'\n\t=== Sample: {sample_name} ===\n') #Duplicate the
yield from bp.count(dets, num=1)
yield from bps.mv(energy, 2470)
yield from bps.sleep(2)
yield from bps.mv(energy, 2450)
yield from bps.mv(piezo.th, ai0)
yield from bps.mv(waxs, 0)
def xrr_ppol_waxs(t=1):
# names = ['PSS70_ver', 'Y6_ver']
# x_piezo = [ -900, -900]
# y_piezo = [ -2000, -7000]
# y_hexa = [ 0, -8]
# z_piezo = [ 2000, 2000]
# ener = [[2450, 2485], [2450, 2475, 2476.5, 2477, 2477.5, 2478, 2483, 2500]]
energies = np.arange(2445, 2470, 5).tolist() + np.arange(2470, 2480, 1).tolist() + np.arange(2480, 2490, 2).tolist()+ np.arange(2490, 2501, 5).tolist()
energies1 = np.arange(2447, 2477, 5).tolist() + np.arange(2477, 2487, 1).tolist() + np.arange(2487, 2497, 2).tolist()+ np.arange(2497, 2508, 5).tolist()
energies2 = np.arange(2486, 2490, 2).tolist()+ np.arange(2490, 2501, 5).tolist()
# ener = [energies2, energies, energies]
# names = [ 'ps_ver', 'y6_ver', 'n2200_ver']
# x_piezo = [ 500, 500, 500]
# y_piezo = [ -6000, -2500, 4000]
# y_hexa = [ -3, 0, 0]
# z_piezo = [ 2000, 2000, 2000]
ener = [energies2]
names = [ 'n2200_ver']
x_piezo = [ 500]
y_piezo = [ 4000]
y_hexa = [ 0]
z_piezo = [ 2000]
assert len(x_piezo) == len(names), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(names)})'
assert len(x_piezo) == len(y_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(y_piezo)})'
assert len(x_piezo) == len(y_hexa), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(y_hexa)})'
assert len(x_piezo) == len(z_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(z_piezo)})'
assert len(x_piezo) == len(ener), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(ener)})'
dets = [pil900KW]
waxs_arc = [3]
ai_lists = [[np.linspace(0.03, 1.035, 68).tolist()] + [np.linspace(1.05, 2.01, 49).tolist()] + [np.linspace(2.01, 3.01, 51).tolist()]]
ai_lists2 = [[np.linspace(0.03, 1.035, 68).tolist()] + [np.linspace(1.05, 2.01, 49).tolist()]]
ai_list_list = [ai_lists]#, ai_lists2, ai_lists]
for name, xs, zs, ys, ys_hexa, eners, ai_li in zip(names, x_piezo, z_piezo, y_piezo, y_hexa, ener, ai_list_list):
yield from bps.mv(piezo.x, xs)
yield from bps.mv(piezo.y, ys)
yield from bps.mv(stage.y, ys_hexa)
yield from bps.mv(piezo.z, zs)
yield from bps.mv(GV7.open_cmd, 1)
yield from bps.sleep(2)
yield from bps.mv(GV7.open_cmd, 1)
yield from bps.sleep(2)
yield from alignement_xrr(angle = 0.15)
ai0 = prs.position
yield from bps.mv(GV7.close_cmd, 1)
yield from bps.sleep(2)
yield from bps.mv(GV7.close_cmd, 1)
yield from bps.sleep(2)
for energ in eners:
yield from bps.mv(energy, energ)
yield from bps.sleep(5)
yield from bps.mvr(piezo.y, -30)
#ai_list should be a list of list. No change of attenuation inside one list
for k, ai_list in enumerate(ai_li[0]):
ai_list = [round(1000 * x, 4) for x in ai_list]
ai_list = np.asarray(ai_list) / 1000
print(ai_list)
absorbers, exp_time = yield from calc_absorbers_expt(num=k)
if k == 0:
yield from bps.mv(waxs.arc, 3)
elif k == 1:
yield from bps.mv(waxs.arc, 5)
else:
yield from bps.mv(waxs.arc, 7)
#iterate over the angle stored in one list
for l, ais in enumerate(ai_list):
#check if negative is the good direction
yield from bps.mv(prs, ai0 - ais)
#How to move waxs => reste / quotien of ais
# yield from bps.mv(waxs.arc, waxs_arc[0] + 2*ais)
det_exposure_time(exp_time,exp_time)
bpm = xbpm3.sumX.get()
name_fmt = '{sample}_aiscan_{energy}keV_ai{angle}deg_wa{waxs}_abs{absorber}_bpm{bpm}_time{time}'
sample_name = name_fmt.format(sample=name,
energy = '%4.2f'%energ,
angle ='%4.3f'%ais,
waxs ='%2.1f'%(waxs_arc[0]), #'%2.1f'%(waxs_arc[0] + 2*ais)
absorber = absorbers,
bpm = '%2.3f'%bpm,
time = '%1.1f'%exp_time)
sample_id(user_name='TF', sample_name=sample_name)
yield from bp.count(dets, num=1)
yield from bps.mv(energy, 2470)
yield from bps.sleep(2)
yield from bps.mv(energy, 2450)
yield from bps.mv(prs, ai0)
def calc_absorbers_expt(num):
print('num', num)
if num==0:
yield from bps.mv(att2_10.close_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att2_11.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att2_10.close_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att2_11.open_cmd, 1)
yield from bps.sleep(1)
det_exposure_time(0.5, 0.5)
return '1', 0.5
if num == 1:
det_exposure_time(1, 1)
return '1', 1
if num == 2:
# yield from bps.mv(att2_10.open_cmd, 1)
# yield from bps.sleep(1)
# yield from bps.mv(att2_11.close_cmd, 1)
# yield from bps.sleep(1)
# yield from bps.mv(att2_10.open_cmd, 1)
# yield from bps.sleep(1)
# yield from bps.mv(att2_11.close_cmd, 1)
# yield from bps.sleep(1)
det_exposure_time(3, 3)
return '1', 3
if num == 3:
det_exposure_time(0.2, 0.2)
return '2', 0.2
if num == 4:
det_exposure_time(0.5, 0.5)
return '2', 0.5
if num == 5:
det_exposure_time(1, 1)
return '2', 1
if num == 6:
det_exposure_time(2, 2)
return '2', 2
if num == 7:
det_exposure_time(5, 5)
return '2', 5
def nexafs_Ferron(t=1):
dets = [pil900KW]
# names = [ 'ps_ref', 'pss_ref', 'ps_pss_bilayer', 'y6_ref', 'n2200_ref', 'si_ref']
# x_piezo = -10000 + np.asarray([ 57000, 43000, 17000, -8000, -30000, -40000])
# x_hexa = [ 12, 0, 0, 0, 0, -14]
# y_piezo = [ 5500, 5500, 5500, 5500, 5500, 5500]
# z_piezo = [ 0, 0, 0, 0, 0, 0]
names = [ 'y6_ref2']
x_piezo = [-15000]
x_hexa = [ 0 ]
y_piezo = [ 5500]
z_piezo = [ 0]
energies = np.arange(2445, 2470, 5).tolist() + np.arange(2470, 2480, 0.5).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist()
energies1 = np.arange(2447, 2477, 5).tolist() + np.arange(2477, 2487, 0.5).tolist() + np.arange(2487, 2497, 1).tolist()+ np.arange(2497, 2508, 5).tolist()
eners = [energies]
ai = [1.5]
for name, x, ener in zip(names, x_piezo, eners):
yield from bps.mv(piezo.x, x)
det_exposure_time(t,t)
name_fmt = 'nexafs_{sample}_wa40_{energy}eV_angle{ai}_bpm{xbpm}'
yield from bps.mv(GV7.open_cmd, 1)
yield from bps.sleep(2)
yield from bps.mv(GV7.open_cmd, 1)
yield from alignement_gisaxs(angle = 0.4)
yield from bps.mv(GV7.close_cmd, 1)
yield from bps.sleep(2)
yield from bps.mv(GV7.close_cmd, 1)
yield from bps.mv(att2_9.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att2_9.open_cmd, 1)
yield from bps.sleep(1)
ai0 = piezo.th.position
for ais in ai:
yield from bps.mv(piezo.th, ai0 + ais)
for e in ener:
yield from bps.mv(energy, e)
yield from bps.sleep(2)
bpm = xbpm3.sumX.value
sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, ai ='%2.2d'%ais, xbpm = '%4.3f'%bpm)
sample_id(user_name='GF', sample_name=sample_name)
print(f'\n\t=== Sample: {sample_name} ===\n')
yield from bp.count(dets, num=1)
yield from bps.mv(piezo.th, ai0)
yield from bps.mv(energy, 2470)
yield from bps.sleep(2)
yield from bps.mv(energy, 2450)
yield from bps.sleep(2)
def nexafs_Ferron_vertical(t=1):
dets = [pil900KW]
waxs_arc = [40]
ai = [1.5]
energies = np.arange(2445, 2470, 5).tolist() + np.arange(2470, 2480, 1).tolist() + np.arange(2480, 2490, 2).tolist()+ np.arange(2490, 2501, 5).tolist()
energies1 = np.arange(2447, 2477, 5).tolist() + np.arange(2477, 2487, 1).tolist() + np.arange(2487, 2497, 2).tolist()+ np.arange(2497, 2508, 5).tolist()
ener = [energies, energies, energies]
# names = [ 'ps_ver', 'y6_ver', 'n2200_ver']
# x_piezo = [ 500, 500, 500]
# y_piezo = [ -6000, -2500, 4000]
# y_hexa = [ -3, 0, 0]
# z_piezo = [ 2000, 2000, 2000]
names = [ 'y6_ver']
x_piezo = [ 500]
y_piezo = [ -2500]
y_hexa = [ 0]
z_piezo = [ 2000]
for name, x, y, ys_hexa, ene in zip(names, x_piezo, y_piezo, y_hexa, ener):
yield from bps.mv(piezo.x, x)
yield from bps.mv(piezo.y, y)
yield from bps.mv(stage.y, ys_hexa)
det_exposure_time(t,t)
name_fmt = 'nexafs_{sample}_{energy}eV_angle{ai}_bpm{xbpm}'
yield from bps.mv(GV7.open_cmd, 1)
yield from bps.sleep(2)
yield from bps.mv(GV7.open_cmd, 1)
yield from alignement_xrr(angle = 0.15)
yield from bps.mv(GV7.close_cmd, 1)
yield from bps.sleep(2)
yield from bps.mv(GV7.close_cmd, 1)
yield from bps.mv(att2_9.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att2_9.open_cmd, 1)
yield from bps.sleep(1)
ai0 = prs.position
for ais in ai:
yield from bps.mv(prs, ai0 - ais)
for e in ene:
yield from bps.mv(energy, e)
yield from bps.sleep(2)
bpm = xbpm3.sumX.value
sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, ai ='%2.2d'%ais, xbpm = '%4.3f'%bpm)
sample_id(user_name='GF', sample_name=sample_name)
print(f'\n\t=== Sample: {sample_name} ===\n')
yield from bp.count(dets, num=1)
yield from bps.mv(prs, ai0)
yield from bps.mv(energy, 2470)
yield from bps.sleep(1)
yield from bps.mv(energy, 2450)
yield from bps.sleep(1)
def xrr_spol_saxs(t=1):
names = ['PS_test9_saxs']
x_piezo = [34800]
y_piezo = [ 6570]
z_piezo = [ 3000]
ener = 2450.0
assert len(x_piezo) == len(names), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(names)})'
assert len(x_piezo) == len(y_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(y_piezo)})'
assert len(x_piezo) == len(z_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(z_piezo)})'
dets = [pil1M]
waxs_arc = [13]
# #List of incident angles clustured in subsection for attenuators
# ai_lists = [[np.linspace(0.03, 0.3, 10).tolist()] + [np.linspace(0.21, 0.51, 11).tolist()] +
# [np.linspace(0.42, 0.99, 20).tolist()] + [np.linspace(0.87, 1.5, 22).tolist() + [1.55, 1.6, 1.65, 1.7, 1.75, 1.8, 1.85, 1.9, 1.95, 2.0, 2.05, 2.1]] +
# [np.linspace(1.8, 10, 165).tolist()]]
# #[np.linspace(1.8, 4.2, 49).tolist()] + [np.linspace(4, 10, 121).tolist()]]
# ai_lists = [[np.linspace(0.03, 0.51, 17).tolist()] + [np.linspace(0.21, 0.99, 27).tolist()] +
# [np.linspace(0.42, 1.5, 37).tolist()] + [np.linspace(0.87, 1.5, 22).tolist() + np.linspace(1.55, 4, 50).tolist()]
# + [np.linspace(1.8, 10, 165).tolist()]]
ai_lists = [[np.linspace(0.03, 0.99, 65).tolist()]]
for name, xs, zs, ys in zip(names, x_piezo, z_piezo, y_piezo):
yield from bps.mv(piezo.x, xs)
yield from bps.mv(piezo.y, ys)
yield from bps.mv(piezo.z, zs)
yield from bps.mv(piezo.th, -2.085)
# yield from alignement_gisaxs(angle = 0.5)
ai0 = piezo.th.position
for wa in waxs_arc:
yield from bps.mv(waxs.arc, wa)
#ai_list should be a list of list. No change of attenuation inside one list
for k, ai_list in enumerate(ai_lists[0]):
# yield from calc_absorbers(num=k)
absorbers, exp_time = yield from calc_absorbers_expt(num=k)
#iterate over the angle stored in one list
for l, ais in enumerate(ai_list):
yield from bps.mv(piezo.th, ai0 + ais)
yield from bps.sleep(0.5)
det_exposure_time(exp_time,exp_time)
bpm = xbpm3.sumX.value
name_fmt = '{sample}_aiscan_{energy}keV_ai{angle}deg_wa{waxs}_abs{absorber}_bpm{bpm}_time{time}'
sample_name = name_fmt.format(sample=name,
energy = '%4.2f'%ener,
angle ='%4.3f'%ais,
waxs ='%2.1f'%wa,
absorber = absorbers,
bpm = '%2.3f'%bpm,
time = '%1.1f'%exp_time)
sample_id(user_name='TF', sample_name=sample_name)
print(f'\n\t=== Sample: {sample_name} ===\n') #Duplicate the
yield from bp.count(dets, num=1)
def refl_ener_scan_spol_waxs(t=1):
names = ['PM6_ref', 'PS_50', 'Bilayer_ref', 'BCP_MT', 'BCP_TM', 'BCP_MS', 'BCP_SM', 'homo_T', 'homo_S', 'Y6_ref']
x_piezo = [ 54000, 42000, 30500, 22500, 8500, -5500, -17500, -29500, -40500, -48500]
y_piezo = [ 6570, 6570, 6570, 6570, 6570, 6570, 6570, 6570, 6570, 6570]
z_piezo = [ 2000, 2000, 2000, 2000, 2000, 2000, 2000, 2000, 2000, 2000]
ener = [np.arange(2445, 2470, 10).tolist() + np.arange(2470, 2480, 0.5).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist(),
np.arange(2445, 2470, 10).tolist() + np.arange(2470, 2480, 0.5).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist(),
np.arange(2445, 2470, 10).tolist() + np.arange(2470, 2480, 0.5).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist(),
np.arange(2445, 2470, 10).tolist() + np.arange(2470, 2480, 0.5).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist(),
np.arange(2445, 2470, 10).tolist() + np.arange(2470, 2480, 0.5).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist(),
np.arange(2445, 2480, 10).tolist() + np.arange(2483, 2487, 0.5).tolist() + np.arange(2487, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist(),
np.arange(2445, 2480, 10).tolist() + np.arange(2483, 2487, 0.5).tolist() + np.arange(2487, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist(),
np.arange(2445, 2470, 10).tolist() + np.arange(2470, 2480, 0.5).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist(),
np.arange(2445, 2480, 10).tolist() + np.arange(2483, 2487, 0.5).tolist() + np.arange(2487, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist(),
np.arange(2445, 2470, 10).tolist() + np.arange(2472, 2482, 0.5).tolist() + np.arange(2482, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist()]
assert len(x_piezo) == len(names), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(names)})'
assert len(x_piezo) == len(y_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(y_piezo)})'
assert len(x_piezo) == len(z_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(z_piezo)})'
assert len(x_piezo) == len(ener), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(ener)})'
dets = [pil300KW]
waxs_arc = [1]
ai_list = [0.4, 1]
for name, xs, zs, ys, eners in zip(names, x_piezo, z_piezo, y_piezo, ener):
yield from bps.mv(piezo.x, xs)
yield from bps.mv(piezo.y, ys)
yield from bps.mv(piezo.z, zs)
yield from alignement_gisaxs(angle = 0.15)
ai0 = piezo.th.position
for wa in waxs_arc:
yield from bps.mv(waxs.arc, wa)
for k, ai in enumerate(ai_list):
yield from bps.mv(piezo.th, ai0 + ais)
yield from bps.sleep(0.5)
yield from bps.mv(att2_11.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att2_11.open_cmd, 1)
yield from bps.sleep(1)
det_exposure_time(1, 1)
for energ in eners:
yield from bps.mv(energy, energ)
yield from bps.sleep(1)
bpm = xbpm3.sumX.value
name_fmt = '{sample}_energyscan_{energy}keV_ai{angle}deg_wa{waxs}_abs{absorber}_bpm{bpm}_time{time}'
sample_name = name_fmt.format(sample=name,
energy = '%4.2f'%energ,
angle ='%4.3f'%ais,
waxs ='%2.1f'%wa,
absorber = absorbers,
bpm = '%2.3f'%bpm,
time = '%1.1f'%exp_time)
sample_id(user_name='TF', sample_name=sample_name)
print(f'\n\t=== Sample: {sample_name} ===\n') #Duplicate the
yield from bp.count(dets, num=1)
yield from bps.mv(energy, 2470)
yield from bps.sleep(2)
yield from bps.mv(energy, 2450)
yield from bps.sleep(2)
yield from bps.mv(piezo.th, ai0)
def refl_ener_scan_ppol_waxs(t=1):
names = [ 'PM6_ver']
x_piezo = [ -900]
y_piezo = [ 4000]
y_hexa = [ 0]
z_piezo = [ 2000]
ener = [np.arange(2445, 2470, 10).tolist() + np.arange(2470, 2480, 0.5).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist()]
assert len(x_piezo) == len(names), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(names)})'
assert len(x_piezo) == len(y_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(y_piezo)})'
assert len(x_piezo) == len(z_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(z_piezo)})'
assert len(x_piezo) == len(ener), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(ener)})'
dets = [pil300KW]
waxs_arc = [1]
ai_list = [0.4, 1]
for name, xs, zs, ys, ys_hexa, eners in zip(names, x_piezo, z_piezo, y_piezo, y_hexa, ener):
# yield from bps.mv(piezo.x, xs)
yield from bps.mv(piezo.y, ys)
yield from bps.mv(stage.y, ys_hexa)
yield from bps.mv(piezo.z, zs)
# yield from alignement_gisaxs(angle = 0.15)
ai0 = prs.position
for k, ais in enumerate(ai_list):
#check if negative is the good direction
yield from bps.mv(prs, ai0 - ais)
#How to move waxs => reste / quotien of ais
yield from bps.mv(waxs.arc, waxs_arc[0] + 2*ais)
yield from bps.mv(att2_11.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att2_11.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att2_10.close_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att2_10.close_cmd, 1)
yield from bps.sleep(1)
det_exposure_time(t, t)
for energ in eners:
yield from bps.mv(energy, energ)
yield from bps.sleep(1)
bpm = xbpm3.sumX.value
name_fmt = '{sample}_energyscan_{energy}keV_ai{angle}deg_wa{waxs}_abs{absorber}_bpm{bpm}_time{time}'
sample_name = name_fmt.format(sample=name,
energy = '%4.2f'%energ,
angle ='%4.3f'%ais,
waxs ='%2.1f'%(waxs_arc[0] + 2*ais),
absorber = '2',
bpm = '%2.3f'%bpm,
time = '%1.1f'%t)
sample_id(user_name='TF', sample_name=sample_name)
print(f'\n\t=== Sample: {sample_name} ===\n')
yield from bp.count(dets, num=1)
yield from bps.mv(energy, 2470)
yield from bps.sleep(2)
yield from bps.mv(energy, 2450)
yield from bps.sleep(2)
yield from bps.mv(prs, ai0)
def xrr_spol_waxs_smallstep_pedge(t=1):
names = ['homo_P', 'BCP_M9', 'BCP_PM1', 'homo_M']
x_piezo = [-10000, -23000, -38000, -52000]
y_piezo = [6570,6570, 6570, 6570]
z_piezo = [2000, 2000, 2000, 2000]
ener = [[2140, 2152, 2155, 2156, 2190], [2140, 2152, 2155, 2156, 2190], [2140, 2152, 2155, 2156, 2190], [2140, 2152, 2155, 2156, 2190]]
assert len(x_piezo) == len(names), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(names)})'
assert len(x_piezo) == len(y_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(y_piezo)})'
assert len(x_piezo) == len(z_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(z_piezo)})'
assert len(x_piezo) == len(ener), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(ener)})'
dets = [pil300KW]
waxs_arc = [1]
# #List of incident angles clustured in subsection for attenuators
ai_lists = [[np.linspace(0.03, 1.03, 101).tolist() + np.linspace(1.05, 2.01, 65).tolist()] + [np.linspace(2.01, 2.51, 51).tolist()] +
[np.linspace(0.87, 1.5, 43).tolist()] + [np.linspace(1.55, 4, 99).tolist()] + [np.linspace(4, 6, 81).tolist()] + [np.linspace(6, 7, 41).tolist()]]
for name, xs, zs, ys, eners in zip(names, x_piezo, z_piezo, y_piezo, ener):
yield from bps.mv(piezo.x, xs)
yield from bps.mv(piezo.y, ys)
yield from bps.mv(piezo.z, zs)
yield from alignement_gisaxs(angle = 0.15)
ai0 = piezo.th.position
for wa in waxs_arc:
yield from bps.mv(waxs.arc, wa)
for energ in eners:
while abs(energy.energy.position - energ) > 10:
if energ > energy.energy.position:
yield from bps.mv(energy, energy.energy.position+10)
else:
yield from bps.mv(energy, energy.energy.position-10)
yield from bps.sleep(5)
yield from bps.mv(energy, energ)
yield from bps.sleep(5)
yield from bps.mvr(piezo.x, -200)
#ai_list should be a list of list. No change of attenuation inside one list
for k, ai_list in enumerate(ai_lists[0]):
ai_list = [round(1000 * x, 4) for x in ai_list]
ai_list = np.asarray(ai_list) / 1000
print(ai_list)
# yield from calc_absorbers(num=k)
absorbers, exp_time = yield from calc_absorbers_expt(num=k)
#iterate over the angle stored in one list
for l, ais in enumerate(ai_list):
yield from bps.mv(piezo.th, ai0 + ais)
yield from bps.sleep(0.5)
det_exposure_time(exp_time,exp_time)
bpm = xbpm3.sumX.value
name_fmt = '{sample}_aiscan_{energy}keV_ai{angle}deg_wa{waxs}_abs{absorber}_bpm{bpm}_time{time}'
sample_name = name_fmt.format(sample=name,
energy = '%4.2f'%energ,
angle ='%4.3f'%ais,
waxs ='%2.1f'%wa,
absorber = absorbers,
bpm = '%2.3f'%bpm,
time = '%1.1f'%exp_time)
sample_id(user_name='TF', sample_name=sample_name)
print(f'\n\t=== Sample: {sample_name} ===\n') #Duplicate the
yield from bp.count(dets, num=1)
yield from bps.mv(piezo.th, ai0)
def xrr_spol_waxs_hardxray(t=1):
names = [ 'BCP_MT_new']
x_piezo = [ -19000]
y_piezo = [ 6902]
z_piezo = [ 1000]
assert len(x_piezo) == len(names), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(names)})'
assert len(x_piezo) == len(y_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(y_piezo)})'
assert len(x_piezo) == len(z_piezo), f'Number of X coordinates ({len(x_piezo)}) is different from number of samples ({len(z_piezo)})'
dets = [pil300KW]
waxs_arc = [1]
# #List of incident angles clustured in subsection for attenuators
# ai_lists = [[np.linspace(0.03, 1.03, 51).tolist() + np.linspace(1.05, 2.01, 33).tolist()] + [np.linspace(2.01, 2.51, 26).tolist()] +
# [np.linspace(0.51, 1.5, 34).tolist()] + [np.linspace(1.55, 4, 50).tolist()] + [np.linspace(4, 6, 41).tolist()] + [np.linspace(6, 8, 41).tolist()]]
ai_lists = [[np.linspace(0.03, 0.43, 81).tolist()] + [np.linspace(0.2, 0.8, 121).tolist()] + [np.linspace(0.6, 1.4, 161).tolist()]]
for name, xs, zs, ys in zip(names, x_piezo, z_piezo, y_piezo):
yield from bps.mv(piezo.x, xs)
yield from bps.mv(piezo.y, ys)
yield from bps.mv(piezo.z, zs)
# yield from alignement_gisaxs(angle = 0.1)
ai0 = piezo.th.position
for wa in waxs_arc:
yield from bps.mv(waxs.arc, wa)
#ai_list should be a list of list. No change of attenuation inside one list
for k, ai_list in enumerate(ai_lists[0]):
ai_list = [round(1000 * x, 4) for x in ai_list]
ai_list = np.asarray(ai_list) / 1000
print(ai_list)
# yield from calc_absorbers(num=k)
absorbers, exp_time = yield from calc_absorbers_hard(num=k)
#iterate over the angle stored in one list
for l, ais in enumerate(ai_list):
yield from bps.mv(piezo.th, ai0 + ais)
yield from bps.sleep(0.5)
det_exposure_time(exp_time,exp_time)
bpm = xbpm3.sumX.value
name_fmt = '{sample}_aiscan_{energy}keV_ai{angle}deg_wa{waxs}_abs{absorber}_bpm{bpm}_time{time}'
sample_name = name_fmt.format(sample=name,
energy = '%4.2f'%16100,
angle ='%4.3f'%ais,
waxs ='%2.1f'%wa,
absorber = absorbers,
bpm = '%2.3f'%bpm,
time = '%1.1f'%exp_time)
sample_id(user_name='TF', sample_name=sample_name)
print(f'\n\t=== Sample: {sample_name} ===\n') #Duplicate the
yield from bp.count(dets, num=1)
yield from bps.mv(piezo.th, ai0)
def calc_absorbers_hard(num):
print('num', num)
if num==0:
yield from bps.mv(att1_5.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att1_6.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att1_7.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att1_5.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att1_6.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att1_7.open_cmd, 1)
yield from bps.sleep(1)
det_exposure_time(1, 1)
return '1', 1
if num == 1:
yield from bps.mv(att1_5.close_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att1_5.close_cmd, 1)
yield from bps.sleep(1)
det_exposure_time(1, 1)
return '2', 1
if num == 2:
yield from bps.mv(att1_7.close_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att1_7.close_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att1_6.open_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att1_6.open_cmd, 1)
yield from bps.sleep(1)
det_exposure_time(1, 1)
return '3', 1
if num == 3:
yield from bps.mv(att1_5.close_cmd, 1)
yield from bps.sleep(1)
yield from bps.mv(att1_5.close_cmd, 1)
yield from bps.sleep(1)
det_exposure_time(1, 1)
return '4', 1
| 43.038508 | 158 | 0.518859 | 5,047 | 35,765 | 3.553398 | 0.058847 | 0.107896 | 0.125795 | 0.095238 | 0.922828 | 0.905877 | 0.888424 | 0.87493 | 0.860265 | 0.838017 | 0 | 0.104452 | 0.344974 | 35,765 | 830 | 159 | 43.090361 | 0.661075 | 0.135887 | 0 | 0.774621 | 0 | 0.013258 | 0.128193 | 0.022263 | 0 | 0 | 0 | 0 | 0.05303 | 1 | 0.020833 | false | 0 | 0 | 0 | 0.043561 | 0.026515 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
3241da6d87417d800c7bd8cd8d090cc8a7405601 | 4,037 | py | Python | tests/unit/test_classes.py | matthewgdv/miscutils | f605ded914e355214533b06e7a768272409769c0 | [
"MIT"
] | null | null | null | tests/unit/test_classes.py | matthewgdv/miscutils | f605ded914e355214533b06e7a768272409769c0 | [
"MIT"
] | null | null | null | tests/unit/test_classes.py | matthewgdv/miscutils | f605ded914e355214533b06e7a768272409769c0 | [
"MIT"
] | null | null | null | # import pytest
class TestTimer:
def test___str__(self): # synced
assert True
def test___bool__(self): # synced
assert True
def test___iter__(self): # synced
assert True
def test___next__(self): # synced
assert True
def test___int__(self): # synced
assert True
def test___float__(self): # synced
assert True
def test___call__(self): # synced
assert True
def test___eq__(self): # synced
assert True
def test___lt__(self): # synced
assert True
class TestVersion:
class TestUpdate:
pass
def test___str__(self): # synced
assert True
def test___eq__(self): # synced
assert True
def test___lt__(self): # synced
assert True
def test_major(self): # synced
assert True
def test_minor(self): # synced
assert True
def test_micro(self): # synced
assert True
def test_increment_major(self): # synced
assert True
def test_increment_minor(self): # synced
assert True
def test_increment_micro(self): # synced
assert True
def test_increment(self): # synced
assert True
def test_copy(self): # synced
assert True
def test_from_string(self): # synced
assert True
class TestCounter:
def test___str__(self): # synced
assert True
def test___int__(self): # synced
assert True
def test___iter__(self): # synced
assert True
def test___next__(self): # synced
assert True
def test_increment(self): # synced
assert True
def test_decrement(self): # synced
assert True
def test_reset(self): # synced
assert True
class TestProfiler:
def test___str__(self): # synced
assert True
class TestBase64:
def test___bytes__(self): # synced
assert True
def test_to_utf8(self): # synced
assert True
def test_to_b64(self): # synced
assert True
def test_from_utf8(self): # synced
assert True
def test_from_b64(self): # synced
assert True
class TestPercentagePrinter:
def test___iter__(self): # synced
assert True
def test___next__(self): # synced
assert True
class TestWindowsEnVars:
class TestScope:
pass
def test___call__(self): # synced
assert True
def test___getitem__(self): # synced
assert True
def test___setitem__(self): # synced
assert True
def test___getattr__(self): # synced
assert True
def test___setattr__(self): # synced
assert True
def test_keys(self): # synced
assert True
class TestOneOrMany:
class TestIfTypeNotMatches:
pass
def test___call__(self): # synced
assert True
def test_of_type(self): # synced
assert True
def test_if_type_not_matches(self): # synced
assert True
def test_coerce_with(self): # synced
assert True
def test_to_list(self): # synced
assert True
def test_to_one(self): # synced
assert True
def test_to_one_or_none(self): # synced
assert True
class TestGenderMeta:
def test_from_name(self): # synced
assert True
def test_male(self): # synced
assert True
def test_female(self): # synced
assert True
def test_non_binary(self): # synced
assert True
def test_unknown(self): # synced
assert True
def test__detector(self): # synced
assert True
def test__mappings(self): # synced
assert True
class TestGender:
class TestPronoun:
pass
class TestNullContext:
def test___bool__(self): # synced
assert True
def test___getattr__(self): # synced
assert True
def test___setattr__(self): # synced
assert True
def test___call__(self): # synced
assert True
| 18.689815 | 49 | 0.614565 | 476 | 4,037 | 4.787815 | 0.14916 | 0.184291 | 0.421237 | 0.526547 | 0.824046 | 0.749013 | 0.627468 | 0.467749 | 0.419482 | 0.387889 | 0 | 0.002923 | 0.322021 | 4,037 | 215 | 50 | 18.776744 | 0.829741 | 0.107258 | 0 | 0.661871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.431655 | 1 | 0.431655 | false | 0.028777 | 0 | 0 | 0.539568 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
08c54a29fed9bb233bafa85178e920e03da2d195 | 6,693 | py | Python | Tensile/Tests/nightly/convolution_config/test_conv_vs_contraction.py | zjunweihit/Tensile | 68b73083c92eecc1b04eec1f006f28aea5628030 | [
"MIT"
] | null | null | null | Tensile/Tests/nightly/convolution_config/test_conv_vs_contraction.py | zjunweihit/Tensile | 68b73083c92eecc1b04eec1f006f28aea5628030 | [
"MIT"
] | null | null | null | Tensile/Tests/nightly/convolution_config/test_conv_vs_contraction.py | zjunweihit/Tensile | 68b73083c92eecc1b04eec1f006f28aea5628030 | [
"MIT"
] | null | null | null | import logging
from Tensile.SolutionStructs import Convolution
from YamlBuilder.YamlBuilder import YamlBuilder
log =logging.getLogger("testlog")
"""
These tests run the convolution-vs-contraction mode always,
"""
def test_simple(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '1x1',
'Stride': '1x1',
'Dilation': '1x1',
'Spatial': '17x31',
})
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_stride1x2(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '1x1',
'Stride': '1x2',
'Dilation': '1x1',
'Spatial': '17x31',
})
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_stride2x1(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '1x1',
'Stride': '2x1',
'Dilation': '1x1',
'Spatial': '17x31',
})
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_stride2x3(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '1x1',
'Stride': '2x3',
'Dilation': '1x1',
'Spatial': '17x31',
})
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_filter1x2(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '1x2',
'Stride': '1x1',
'Dilation': '1x1',
'Spatial': '17x31',
})
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_filter2x1(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '2x1',
'Stride': '1x1',
'Dilation': '1x1',
'Spatial': '17x31',
})
log.debug(conv.printUsage(z))
#TODO - re-enable this test
#YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_filter2x3(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '2x3',
'Stride': '1x1',
'Dilation': '1x1',
'Spatial': '17x31',
})
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_dilation1x2(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '1x1',
'Stride': '1x1',
'Dilation': '1x2',
'Spatial': '17x31',
})
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_dilation2x1(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '1x1',
'Stride': '1x1',
'Dilation': '2x1',
'Spatial': '17x31',
})
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_dilation2x3(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '1x1',
'Stride': '1x1',
'Dilation': '2x3',
'Spatial': '17x31',
})
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_filter_stride_dilation_0(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'TensorBFormat': 'KCYX',
'TensorDFormat': 'NCHW',
'Filter': '2x3',
'Stride': '2x3',
'Dilation': '2x3',
'Spatial': '17x31',
})
assert(z['NumIndicesC']==4)
assert(z['IndexAssignmentsA']==[6,5, 0,1, 4,3])
assert(z['IndexAssignmentsB']==[6,5, 4, 2, 3])
assert(z['SetConstStrideA']==[[0,3], [6,3]])
assert(z['SetConstStrideB']==[[3, 0]])
assert(z['UseInitialStrides']==True)
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
def test_filter_stride_dilation_1(request, tensile_client_dir, tmp_path):
z={} # problemType definition
conv = Convolution(z, 'ConvolutionForward',
config={'TensorAFormat': 'NCHW',
'Filter': '6x7',
'Stride': '2x3',
'Dilation': '4x5',
'Spatial': '27x51',
})
log.debug(conv.printUsage(z))
YamlBuilder.run_convolution_vs_contraction(request, conv, z, tensile_client_dir, tmp_path)
| 40.810976 | 95 | 0.550127 | 617 | 6,693 | 5.763371 | 0.128039 | 0.087739 | 0.107987 | 0.128234 | 0.834083 | 0.834083 | 0.834083 | 0.834083 | 0.834083 | 0.834083 | 0 | 0.034848 | 0.322576 | 6,693 | 163 | 96 | 41.06135 | 0.749449 | 0.058419 | 0 | 0.769231 | 0 | 0 | 0.168033 | 0 | 0 | 0 | 0 | 0.006135 | 0.041958 | 1 | 0.083916 | false | 0 | 0.020979 | 0 | 0.104895 | 0.083916 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
08d288f40b681cd0ef966e1153518e643df3840a | 7,064 | py | Python | thenewboston_node/business_logic/tests/test_file_blockchain/test_block_chunk_meta.py | nishp77/thenewboston-node | 158b1f1739b2c6c9c21c80e9da854ca141f1cf8f | [
"MIT"
] | 30 | 2021-03-05T22:08:17.000Z | 2021-09-23T02:45:45.000Z | thenewboston_node/business_logic/tests/test_file_blockchain/test_block_chunk_meta.py | nishp77/thenewboston-node | 158b1f1739b2c6c9c21c80e9da854ca141f1cf8f | [
"MIT"
] | 148 | 2021-03-05T23:37:50.000Z | 2021-11-02T02:18:58.000Z | thenewboston_node/business_logic/tests/test_file_blockchain/test_block_chunk_meta.py | nishp77/thenewboston-node | 158b1f1739b2c6c9c21c80e9da854ca141f1cf8f | [
"MIT"
] | 14 | 2021-03-05T21:58:46.000Z | 2021-10-15T17:27:52.000Z | import os
import os.path
from thenewboston_node.business_logic.blockchain.file_blockchain.block_chunk.meta import BlockChunkFilenameMeta
def test_yield_block_chunks_meta(file_blockchain_with_three_block_chunks):
blockchain = file_blockchain_with_three_block_chunks
assert list(blockchain.get_block_chunk_storage().list_directory()) == [
'00000000000000000000-00000000000000000002-block-chunk.msgpack',
'00000000000000000003-00000000000000000005-block-chunk.msgpack',
'00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack',
]
base_directory = blockchain.get_base_directory()
assert list(blockchain.yield_block_chunks_meta()) == [
BlockChunkFilenameMeta(
absolute_file_path=os.path.join(
base_directory,
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000000-00000000000000000002-block-chunk.msgpack.gz'
),
blockchain_root_relative_file_path=(
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000000-00000000000000000002-block-chunk.msgpack.gz'
),
storage_relative_file_path=(
'0/0/0/0/0/0/0/0/00000000000000000000-00000000000000000002-block-chunk.msgpack.gz'
),
filename='00000000000000000000-00000000000000000002-block-chunk.msgpack.gz',
base_filename='00000000000000000000-00000000000000000002-block-chunk.msgpack',
start_block_number=0,
end_block_number=2,
compression='gz',
blockchain=blockchain,
),
BlockChunkFilenameMeta(
absolute_file_path=os.path.join(
base_directory,
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000003-00000000000000000005-block-chunk.msgpack.gz'
),
blockchain_root_relative_file_path=(
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000003-00000000000000000005-block-chunk.msgpack.gz'
),
storage_relative_file_path=(
'0/0/0/0/0/0/0/0/00000000000000000003-00000000000000000005-block-chunk.msgpack.gz'
),
filename='00000000000000000003-00000000000000000005-block-chunk.msgpack.gz',
base_filename='00000000000000000003-00000000000000000005-block-chunk.msgpack',
start_block_number=3,
end_block_number=5,
compression='gz',
blockchain=blockchain,
),
BlockChunkFilenameMeta(
absolute_file_path=os.path.join(
base_directory,
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack'
),
blockchain_root_relative_file_path=(
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack'
),
storage_relative_file_path=(
'0/0/0/0/0/0/0/0/00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack'
),
filename='00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack',
base_filename='00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack',
start_block_number=6,
end_block_number=7,
compression=None,
blockchain=blockchain,
),
]
def test_yield_block_chunks_meta_reversed(file_blockchain_with_three_block_chunks):
blockchain = file_blockchain_with_three_block_chunks
assert list(blockchain.get_block_chunk_storage().list_directory()) == [
'00000000000000000000-00000000000000000002-block-chunk.msgpack',
'00000000000000000003-00000000000000000005-block-chunk.msgpack',
'00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack',
]
base_directory = blockchain.get_base_directory()
assert list(blockchain.yield_block_chunks_meta(direction=-1)) == [
BlockChunkFilenameMeta(
absolute_file_path=os.path.join(
base_directory,
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack'
),
blockchain_root_relative_file_path=(
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack'
),
storage_relative_file_path=(
'0/0/0/0/0/0/0/0/00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack'
),
filename='00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack',
base_filename='00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack',
start_block_number=6,
end_block_number=7,
compression=None,
blockchain=blockchain,
),
BlockChunkFilenameMeta(
absolute_file_path=os.path.join(
base_directory,
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000003-00000000000000000005-block-chunk.msgpack.gz'
),
blockchain_root_relative_file_path=(
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000003-00000000000000000005-block-chunk.msgpack.gz'
),
storage_relative_file_path=(
'0/0/0/0/0/0/0/0/00000000000000000003-00000000000000000005-block-chunk.msgpack.gz'
),
filename='00000000000000000003-00000000000000000005-block-chunk.msgpack.gz',
base_filename='00000000000000000003-00000000000000000005-block-chunk.msgpack',
start_block_number=3,
end_block_number=5,
compression='gz',
blockchain=blockchain,
),
BlockChunkFilenameMeta(
absolute_file_path=os.path.join(
base_directory,
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000000-00000000000000000002-block-chunk.msgpack.gz'
),
blockchain_root_relative_file_path=(
'block-chunks/0/0/0/0/0/0/0/0/00000000000000000000-00000000000000000002-block-chunk.msgpack.gz'
),
storage_relative_file_path=(
'0/0/0/0/0/0/0/0/00000000000000000000-00000000000000000002-block-chunk.msgpack.gz'
),
filename='00000000000000000000-00000000000000000002-block-chunk.msgpack.gz',
base_filename='00000000000000000000-00000000000000000002-block-chunk.msgpack',
start_block_number=0,
end_block_number=2,
compression='gz',
blockchain=blockchain,
),
]
def test_get_block_chunks_count(file_blockchain_with_three_block_chunks):
blockchain = file_blockchain_with_three_block_chunks
assert list(blockchain.get_block_chunk_storage().list_directory()) == [
'00000000000000000000-00000000000000000002-block-chunk.msgpack',
'00000000000000000003-00000000000000000005-block-chunk.msgpack',
'00000000000000000006-xxxxxxxxxxxxxxxxxxxx-block-chunk.msgpack',
]
assert blockchain.get_block_chunks_count() == 3
| 47.093333 | 111 | 0.664921 | 715 | 7,064 | 6.33986 | 0.075524 | 0.055592 | 0.071476 | 0.079418 | 0.9561 | 0.9561 | 0.944187 | 0.944187 | 0.944187 | 0.944187 | 0 | 0.27005 | 0.235702 | 7,064 | 149 | 112 | 47.409396 | 0.56955 | 0 | 0 | 0.899281 | 0 | 0.129496 | 0.407559 | 0.406427 | 0 | 0 | 0 | 0 | 0.043165 | 1 | 0.021583 | false | 0 | 0.021583 | 0 | 0.043165 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
3eaf46d4f8b97302910ce17ebdffde658d55cd07 | 21,908 | py | Python | AFSCbot/test_process_comment.py | HadManySons/AFSCbot | baa73bc47c8d356a44b7e180011da9b2616ad62c | [
"MIT"
] | 5 | 2017-07-10T11:07:42.000Z | 2018-04-05T13:24:20.000Z | AFSCbot/test_process_comment.py | HadManySons/AFSCbot | baa73bc47c8d356a44b7e180011da9b2616ad62c | [
"MIT"
] | 28 | 2017-06-24T08:56:22.000Z | 2020-07-13T00:19:27.000Z | AFSCbot/test_process_comment.py | HadManySons/AFSCbot | baa73bc47c8d356a44b7e180011da9b2616ad62c | [
"MIT"
] | 3 | 2017-06-29T20:37:48.000Z | 2017-07-02T14:12:02.000Z | import unittest
from process_comment import (get_enlisted_regex_matches,
get_officer_regex_matches,
break_up_regex,
filter_out_quotes,
generate_reply)
from read_csv_files import get_AFSCs, get_prefixes
from setup_bot import login
#####################
""" Unit tests """
#####################
reddit = login()
full_afsc_dict = get_AFSCs(reddit)
prefix_dict = get_prefixes()
class FilterQuotes(unittest.TestCase):
def test_quote_with_text(self):
comment = ">That is such a 1w051 thing to say\n\ndon't you agree 1C1X1?"
actual = filter_out_quotes(comment)
expected = "don't you agree 1C1X1?"
self.assertEqual(expected, actual)
def test_quote_with_no_text(self):
comment = ">That is such a 1w051 thing to say"
actual = filter_out_quotes(comment)
expected = ""
self.assertEqual(expected, actual)
def test_multiple_quotes(self):
comment = ">That is such a 1w051 thing to say\n\n" \
"I don't agree with this\n\n" \
">Well you're stupid\n\n" \
"Not what your mom said"
actual = filter_out_quotes(comment)
expected = "I don't agree with this\n\nNot what your mom said"
self.assertEqual(expected, actual)
class GenerateReply(unittest.TestCase):
def test_normal_afsc(self):
comment = "Hi I am a 1W051"
expected = ["1W051 = Weather Journeyman [^wiki](https://www.reddit.com/r/AirForce/wiki/jobs/1w0x1)"]
actual = generate_reply(comment, full_afsc_dict, prefix_dict)
self.assertEqual(expected, actual)
def test_quoted_afsc(self):
comment = ">I heard you were a 1W0X1\n\nYou are mistaken, clearly I'm a 1W051"
expected = ["1W051 = Weather Journeyman [^wiki](https://www.reddit.com/r/AirForce/wiki/jobs/1w0x1)"]
actual = generate_reply(comment, full_afsc_dict, prefix_dict)
self.assertEqual(expected, actual)
def test_12s(self):
comment = "I'm tired of working 12s as a K13SXB..."
expected = ["K13SXB = Instructor Space Operations, Spacelift"]
actual = generate_reply(comment, full_afsc_dict, prefix_dict)
self.assertEqual(expected, actual)
def test_caps(self):
comment = "doesnt matter what caps I use with k1n2x1 or 1C8X2\n\n" \
"but it DOES matter what I use with W13BXY. 16f doesn't work."
expected = ["K1N2X1 = Instructor Signals Intelligence Analyst [^wiki](https://www.reddit.com/r/AirForce/wiki/jobs/1n2x1ac)",
"1C8X2 = Airfield Systems",
"W13BXY = Weapons Officer Air Battle Manager, General"]
actual = generate_reply(comment, full_afsc_dict, prefix_dict)
self.assertEqual(expected, actual)
def test_afsc_doesnt_exist(self):
comment = "These are valid AFSCs but they don't exist 1C4X2 and 14V"
expected = []
actual = generate_reply(comment, full_afsc_dict, prefix_dict)
self.assertEqual(expected, actual)
def test_afsc_repeated(self):
comment = "Here's a 1W051, there's a 1W051, everywhere's a 1W091"
expected = ["1W051 = Weather Journeyman [^wiki](https://www.reddit.com/r/AirForce/wiki/jobs/1w0x1)",
"1W091 = Weather Superintendent [^wiki](https://www.reddit.com/r/AirForce/wiki/jobs/1w0x1)"]
actual = generate_reply(comment, full_afsc_dict, prefix_dict)
self.assertEqual(expected, actual)
def test_hyperlink(self):
comment = "I just went to https://www.reddit.com/r/AirForce/wiki/jobs/1w0x1"
expected = []
actual = generate_reply(comment, full_afsc_dict, prefix_dict)
self.assertEqual(expected, actual)
class EnlistedRegexMatch(unittest.TestCase):
def test_normal_afsc(self):
comment = "1W051"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "1W051")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "1W051")
self.assertEqual(str_matches[0]["skill_level"], "5")
self.assertEqual(str_matches[0]["suffix"], "")
def test_lowercase_afsc(self):
comment = "k1w051c"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "K1W051C")
self.assertEqual(str_matches[0]["prefix"], "K")
self.assertEqual(str_matches[0]["afsc"], "1W051")
self.assertEqual(str_matches[0]["skill_level"], "5")
self.assertEqual(str_matches[0]["suffix"], "C")
def test_match_two_afsc(self):
comment = "I once saw a 1W051 who thought he was a 1W091."
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 2)
self.assertEqual(str_matches[0]["whole_match"], "1W051")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "1W051")
self.assertEqual(str_matches[0]["skill_level"], "5")
self.assertEqual(str_matches[0]["suffix"], "")
self.assertEqual(str_matches[1]["whole_match"], "1W091")
self.assertEqual(str_matches[1]["prefix"], "")
self.assertEqual(str_matches[1]["afsc"], "1W091")
self.assertEqual(str_matches[1]["skill_level"], "9")
self.assertEqual(str_matches[1]["suffix"], "")
def test_match_multiple_afsc(self):
comment = "Q1A371 Q1A1X1 K1B4X1 T1C671"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 4)
self.assertEqual(str_matches[0]["whole_match"], "Q1A371")
self.assertEqual(str_matches[0]["prefix"], "Q")
self.assertEqual(str_matches[0]["afsc"], "1A371")
self.assertEqual(str_matches[0]["skill_level"], "7")
self.assertEqual(str_matches[0]["suffix"], "")
self.assertEqual(str_matches[1]["whole_match"], "Q1A1X1")
self.assertEqual(str_matches[1]["prefix"], "Q")
self.assertEqual(str_matches[1]["afsc"], "1A1X1")
self.assertEqual(str_matches[1]["skill_level"], "X")
self.assertEqual(str_matches[1]["suffix"], "")
self.assertEqual(str_matches[2]["whole_match"], "K1B4X1")
self.assertEqual(str_matches[2]["prefix"], "K")
self.assertEqual(str_matches[2]["afsc"], "1B4X1")
self.assertEqual(str_matches[2]["skill_level"], "X")
self.assertEqual(str_matches[2]["suffix"], "")
self.assertEqual(str_matches[3]["whole_match"], "T1C671")
self.assertEqual(str_matches[3]["prefix"], "T")
self.assertEqual(str_matches[3]["afsc"], "1C671")
self.assertEqual(str_matches[3]["skill_level"], "7")
self.assertEqual(str_matches[3]["suffix"], "")
def test_normal_prefix(self):
comment = "K3E491"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "K3E491")
self.assertEqual(str_matches[0]["prefix"], "K")
self.assertEqual(str_matches[0]["afsc"], "3E491")
self.assertEqual(str_matches[0]["skill_level"], "9")
self.assertEqual(str_matches[0]["suffix"], "")
def test_normal_suffix(self):
comment = "2A334L"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "2A334L")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "2A334")
self.assertEqual(str_matches[0]["skill_level"], "3")
self.assertEqual(str_matches[0]["suffix"], "L")
def test_normal_prefix_and_suffix(self):
comment = "K3N1X1Q"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "K3N1X1Q")
self.assertEqual(str_matches[0]["prefix"], "K")
self.assertEqual(str_matches[0]["afsc"], "3N1X1")
self.assertEqual(str_matches[0]["skill_level"], "X")
self.assertEqual(str_matches[0]["suffix"], "Q")
def test_afsc_with_3_zeros(self):
# should skill level return 0 or X or blank?
comment = "9J000"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "9J000")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "9J000")
self.assertEqual(str_matches[0]["skill_level"], "0")
self.assertEqual(str_matches[0]["suffix"], "")
comment = "8P100"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "8P100")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "8P100")
self.assertEqual(str_matches[0]["skill_level"], "0")
self.assertEqual(str_matches[0]["suffix"], "")
def test_block_of_text(self):
comment = "here look at that 1C4X1 he is so cool"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "1C4X1")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "1C4X1")
self.assertEqual(str_matches[0]["skill_level"], "X")
self.assertEqual(str_matches[0]["suffix"], "")
def test_similar_to_afsc(self):
comment = "1W0X"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
comment = "1W01"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
comment = "AW0X1"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
comment = "1WOX1"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
def test_shred_is_number(self):
comment = "1W0X12"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "1W0X1")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "1W0X1")
self.assertEqual(str_matches[0]["skill_level"], "X")
self.assertEqual(str_matches[0]["suffix"], "")
comment = "1W0X123"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "1W0X1")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "1W0X1")
self.assertEqual(str_matches[0]["skill_level"], "X")
self.assertEqual(str_matches[0]["suffix"], "")
def test_prefix_is_number(self):
comment = "11W0X1"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
comment = "121W0X1"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
def test_afsc_within_other_words(self):
comment = "someletters1T0X1moreletters"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
def test_afsc_with_punctuation(self):
comment = "1S071."
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "1S071")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "1S071")
self.assertEqual(str_matches[0]["skill_level"], "7")
self.assertEqual(str_matches[0]["suffix"], "")
comment = "1S071,"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
comment = "1S071?"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
comment = "1S071,"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
def test_afsc_in_hyperlink(self):
comment = "https://www.reddit.com/r/AirForce/wiki/jobs/1a8x1"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
comment = "https://www.reddit.com/r/AirForce/wiki/jobs/1a8x1/other"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
comment = "https://www.1a8x1.com"
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
def test_quoted_afsc(self):
comment = "> I hate 1w051s\n\nI totally agree with you"
comment = filter_out_quotes(comment)
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
def test_quotes_near_afsc(self):
comment = "> I hate 1w051s\n\nI like 1W071 tho"
comment = filter_out_quotes(comment)
matches = get_enlisted_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "1W071")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "1W071")
self.assertEqual(str_matches[0]["skill_level"], "7")
self.assertEqual(str_matches[0]["suffix"], "")
class OfficerRegexMatch(unittest.TestCase):
def test_normal_afsc(self):
comment = "12HX"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "12HX")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "12HX")
self.assertEqual(str_matches[0]["skill_level"], "X")
self.assertEqual(str_matches[0]["suffix"], "")
def test_lowercase_afsc(self):
comment = "12hx"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
comment = "12h"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
comment = "12s"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
def test_afsc_sentence(self):
comment = "Look at that 12HX. More like a Q13AX."
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 2)
self.assertEqual(str_matches[0]["whole_match"], "12HX")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "12HX")
self.assertEqual(str_matches[0]["skill_level"], "X")
self.assertEqual(str_matches[0]["suffix"], "")
self.assertEqual(str_matches[1]["whole_match"], "Q13AX")
self.assertEqual(str_matches[1]["prefix"], "Q")
self.assertEqual(str_matches[1]["afsc"], "13AX")
self.assertEqual(str_matches[1]["skill_level"], "X")
self.assertEqual(str_matches[1]["suffix"], "")
def test_multiple_afsc(self):
comment = "13A 15WX 16GX"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 3)
self.assertEqual(str_matches[0]["whole_match"], "13A")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "13A")
self.assertEqual(str_matches[0]["skill_level"], "")
self.assertEqual(str_matches[0]["suffix"], "")
self.assertEqual(str_matches[1]["whole_match"], "15WX")
self.assertEqual(str_matches[1]["prefix"], "")
self.assertEqual(str_matches[1]["afsc"], "15WX")
self.assertEqual(str_matches[1]["skill_level"], "X")
self.assertEqual(str_matches[1]["suffix"], "")
self.assertEqual(str_matches[2]["whole_match"], "16GX")
self.assertEqual(str_matches[2]["prefix"], "")
self.assertEqual(str_matches[2]["afsc"], "16GX")
self.assertEqual(str_matches[2]["skill_level"], "X")
self.assertEqual(str_matches[2]["suffix"], "")
def test_prefix_is_a_number(self):
comment = "112HX 9913AX"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
def test_suffix_is_a_number(self):
comment = "12HX5 13AX66"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 2)
self.assertEqual(str_matches[0]["whole_match"], "12HX")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "12HX")
self.assertEqual(str_matches[0]["skill_level"], "X")
self.assertEqual(str_matches[0]["suffix"], "")
self.assertEqual(str_matches[1]["whole_match"], "13AX")
self.assertEqual(str_matches[1]["prefix"], "")
self.assertEqual(str_matches[1]["afsc"], "13AX")
self.assertEqual(str_matches[1]["skill_level"], "X")
self.assertEqual(str_matches[1]["suffix"], "")
def test_surrounded_by_text(self):
comment = "fdsfjdf12HX123123 12HXasfsdf asdfsdf12HX"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 1)
self.assertEqual(str_matches[0]["whole_match"], "12HX")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "12HX")
self.assertEqual(str_matches[0]["skill_level"], "X")
self.assertEqual(str_matches[0]["suffix"], "")
def test_punctuation(self):
comment = "13BX, 14NX, and 16GX! What about W11F5H?"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 4)
self.assertEqual(str_matches[0]["whole_match"], "13BX")
self.assertEqual(str_matches[0]["prefix"], "")
self.assertEqual(str_matches[0]["afsc"], "13BX")
self.assertEqual(str_matches[0]["skill_level"], "X")
self.assertEqual(str_matches[0]["suffix"], "")
self.assertEqual(str_matches[1]["whole_match"], "14NX")
self.assertEqual(str_matches[1]["prefix"], "")
self.assertEqual(str_matches[1]["afsc"], "14NX")
self.assertEqual(str_matches[1]["skill_level"], "X")
self.assertEqual(str_matches[1]["suffix"], "")
self.assertEqual(str_matches[2]["whole_match"], "16GX")
self.assertEqual(str_matches[2]["prefix"], "")
self.assertEqual(str_matches[2]["afsc"], "16GX")
self.assertEqual(str_matches[2]["skill_level"], "X")
self.assertEqual(str_matches[2]["suffix"], "")
self.assertEqual(str_matches[3]["whole_match"], "W11F5H")
self.assertEqual(str_matches[3]["prefix"], "W")
self.assertEqual(str_matches[3]["afsc"], "11F5")
self.assertEqual(str_matches[3]["skill_level"], "5")
self.assertEqual(str_matches[3]["suffix"], "H")
def test_afsc_in_hyperlink(self):
comment = "https://www.reddit.com/r/AirForce/wiki/jobs/13BX"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
comment = "https://www.reddit.com/r/AirForce/wiki/jobs/13BX/other"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
comment = "https://www.13BX.com"
matches = get_officer_regex_matches(comment)
str_matches = break_up_regex(matches)
self.assertEqual(len(str_matches), 0)
"""
Some of these tests may fail because the csv files update.
In that case, double check if any titles have changed.
"""
unittest.main(module=__name__) | 43.382178 | 132 | 0.649443 | 2,702 | 21,908 | 5.021095 | 0.100666 | 0.174689 | 0.205646 | 0.28562 | 0.848751 | 0.839242 | 0.797081 | 0.76863 | 0.749466 | 0.74379 | 0 | 0.039382 | 0.210699 | 21,908 | 505 | 133 | 43.382178 | 0.7452 | 0.001917 | 0 | 0.619048 | 0 | 0.014286 | 0.162147 | 0.001245 | 0 | 0 | 0 | 0 | 0.490476 | 1 | 0.085714 | false | 0 | 0.009524 | 0 | 0.104762 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
3ec5425349b1595bebcdcde82b836add510f8f53 | 155 | py | Python | gym_bandit/envs/__init__.py | keithnyati/gym-bandit | 0046b7eb7709717f9d633f696de1ae76651fbb7d | [
"MIT"
] | 1 | 2020-01-17T20:52:23.000Z | 2020-01-17T20:52:23.000Z | gym_bandit/envs/__init__.py | kthnyt/gym-bandit | 0046b7eb7709717f9d633f696de1ae76651fbb7d | [
"MIT"
] | null | null | null | gym_bandit/envs/__init__.py | kthnyt/gym-bandit | 0046b7eb7709717f9d633f696de1ae76651fbb7d | [
"MIT"
] | null | null | null | # Keep an eye on this may be deprecated in future
from gym_bandit.envs.greedy import GreedyBanditEnv
from gym_bandit.envs.gradient import GradientBanditEnv | 51.666667 | 54 | 0.851613 | 24 | 155 | 5.416667 | 0.791667 | 0.107692 | 0.2 | 0.261538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116129 | 155 | 3 | 54 | 51.666667 | 0.948905 | 0.303226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
3ecab32416b200fdd0389fc4aca06dd135288dfa | 36,081 | py | Python | Classification_Methods/RF_Analysis_Multiclass.py | tungtokyo1108/Random_Forests_for_High-Dimensional_Data | fd01f998a10c2643ba6618f12ecec9252078157d | [
"MIT"
] | null | null | null | Classification_Methods/RF_Analysis_Multiclass.py | tungtokyo1108/Random_Forests_for_High-Dimensional_Data | fd01f998a10c2643ba6618f12ecec9252078157d | [
"MIT"
] | null | null | null | Classification_Methods/RF_Analysis_Multiclass.py | tungtokyo1108/Random_Forests_for_High-Dimensional_Data | fd01f998a10c2643ba6618f12ecec9252078157d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 5 00:37:32 2019
@author: tungutokyo
"""
import pandas as pd
import numpy as np
pd.options.mode.chained_assignment = None
pd.set_option("display.max_columns", 60)
import matplotlib.pyplot as plt
import seaborn as sns
import itertools
from scipy import interp
from itertools import cycle
from sklearn.preprocessing import label_binarize
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix
from sklearn.metrics import precision_score
from sklearn.metrics import recall_score
from sklearn.metrics import f1_score
from sklearn import metrics
from sklearn.metrics import roc_curve, auc
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score
from sklearn.metrics import plot_confusion_matrix
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import cross_validate
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import KFold
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier
from sklearn.model_selection import TimeSeriesSplit, GridSearchCV, RandomizedSearchCV
from xgboost import XGBClassifier
def get_RandSearchCV(X_train, y_train, X_test, y_test, scoring, type_search, output_file):
from sklearn.model_selection import TimeSeriesSplit
from datetime import datetime as dt
st_t = dt.now()
# Numer of trees are used
n_estimators = [5, 10, 50, 100, 150, 200, 250, 300]
#n_estimators = list(np.arange(100,1000,50))
#n_estimators = [1000]
# Maximum depth of each tree
max_depth = [5, 10, 25, 50, 75, 100]
# Minimum number of samples per leaf
min_samples_leaf = [1, 2, 4, 8, 10]
# Minimum number of samples to split a node
min_samples_split = [2, 4, 6, 8, 10]
# Maximum numeber of features to consider for making splits
max_features = ["auto", "sqrt", "log2", None]
hyperparameter = {'n_estimators': n_estimators,
'max_depth': max_depth,
'min_samples_leaf': min_samples_leaf,
'min_samples_split': min_samples_split,
'max_features': max_features}
cv_timeSeries = TimeSeriesSplit(n_splits=5).split(X_train)
base_model_rf = RandomForestClassifier(criterion="gini", random_state=42)
base_model_gb = GradientBoostingClassifier(criterion="friedman_mse", random_state=42)
# Run randomzed search
n_iter_search = 30
if type_search == "RandomSearchCV-RandomForest":
rsearch_cv = RandomizedSearchCV(estimator=base_model_rf,
random_state=42,
param_distributions=hyperparameter,
n_iter=n_iter_search,
cv=cv_timeSeries,
scoring=scoring,
n_jobs=-1)
else:
rsearch_cv = RandomizedSearchCV(estimator=base_model_gb,
random_state=42,
param_distributions=hyperparameter,
n_iter=n_iter_search,
cv=cv_timeSeries,
scoring=scoring,
n_jobs=-1)
rsearch_cv.fit(X_train, y_train)
#f = open("output.txt", "a")
print("Best estimator obtained from CV data: \n", rsearch_cv.best_estimator_, file=output_file)
print("Best Score: ", rsearch_cv.best_score_, file=output_file)
return rsearch_cv
def performance_rand(best_clf, X_train, y_train, X_test, y_test, type_search, num_class, output_file, class_name):
#f = open("output.txt", "a")
print("-"*100)
print("~~~~~~~~~~~~~~~~~~ PERFORMANCE EVALUATION ~~~~~~~~~~~~~~~~~~~~~~~~", file=output_file)
print("Detailed report for the {} algorithm".format(type_search), file=output_file)
best_clf.fit(X_train, y_train)
y_pred = best_clf.predict(X_test)
y_pred_prob = best_clf.predict_proba(X_test)
test_accuracy = accuracy_score(y_test, y_pred, normalize=True) * 100
points = accuracy_score(y_test, y_pred, normalize=False)
print("The number of accurate predictions out of {} data points on unseen data is {}".format(
X_test.shape[0], points), file=output_file)
print("Accuracy of the {} model on unseen data is {}".format(
type_search, np.round(test_accuracy, 2)), file=output_file)
print("Precision of the {} model on unseen data is {}".format(
type_search, np.round(metrics.precision_score(y_test, y_pred, average="macro"), 4)), file=output_file)
print("Recall of the {} model on unseen data is {}".format(
type_search, np.round(metrics.recall_score(y_test, y_pred, average="macro"), 4)), file=output_file)
print("F1 score of the {} model on unseen data is {}".format(
type_search, np.round(metrics.f1_score(y_test, y_pred, average="macro"), 4)), file=output_file)
print("\nClassification report for {} model: \n".format(type_search), file=output_file)
print(metrics.classification_report(y_test, y_pred), file=output_file)
plt.figure(figsize=(12,12))
cnf_matrix = metrics.confusion_matrix(y_test, y_pred)
cnf_matrix_norm = cnf_matrix.astype('float') / cnf_matrix.sum(axis=1)[:, np.newaxis]
print("\nThe Confusion Matrix: \n", file=output_file)
print(cnf_matrix, file=output_file)
#class_name = ["CDI", "ignore-nonCDI", "Health"]
#class_name = ["CRC", "Adenomas", "Health"]
# class_name = ["OB", "OW", "Health"]
class_name = class_name
cmap = plt.cm.Blues
plt.imshow(cnf_matrix_norm, interpolation="nearest", cmap=cmap)
plt.colorbar()
fmt = ".2g"
thresh = cnf_matrix_norm.max()/2
for i, j in itertools.product(range(cnf_matrix_norm.shape[0]), range(cnf_matrix_norm.shape[1])):
plt.text(j,i,format(cnf_matrix_norm[i,j], fmt), ha="center", va="center",
color="white" if cnf_matrix_norm[i,j] > thresh else "black", fontsize=35)
plt.xticks(np.arange(num_class), labels = class_name, fontsize=30)
plt.yticks(np.arange(num_class), labels = class_name, fontsize=30)
plt.ylabel("True label", fontsize=30)
plt.xlabel("Predicted label", fontsize=30)
plt.ylim((num_class - 0.5, -0.5))
plt.show()
#plt.setp(ax.get_xticklabels(), rotation=xticks_rotation)
"""
cmap = plt.cm.Blues
sns.heatmap(cnf_matrix_norm, annot=True, cmap=cmap, fmt=".2f", annot_kws={"size":15}, linewidths=.05)
if type_search == "RandomSearchCV-RandomForest":
plt.title("The Normalized Confusion Matrix - {}".format("RandomForest"), fontsize=20)
else:
plt.title("The Normalized Confusion Matrix - {}".format("GradientBoosting"), fontsize=20)
plt.ylabel("True label", fontsize=15)
plt.xlabel("Predicted label", fontsize=15)
plt.show()
"""
print("\nROC curve and AUC")
y_pred = best_clf.predict(X_test)
y_pred_prob = best_clf.predict_proba(X_test)
y_test_cat = np.array(pd.get_dummies(y_test))
fpr = dict()
tpr = dict()
roc_auc = dict()
for i in range(num_class):
fpr[i], tpr[i], _ = metrics.roc_curve(y_test_cat[:,i], y_pred_prob[:,i])
roc_auc[i] = metrics.auc(fpr[i], tpr[i])
all_fpr = np.unique(np.concatenate([fpr[i] for i in range(num_class)]))
mean_tpr = np.zeros_like(all_fpr)
for i in range(num_class):
mean_tpr += interp(all_fpr, fpr[i], tpr[i])
mean_tpr /= num_class
fpr["macro"] = all_fpr
tpr["macro"] = mean_tpr
roc_auc["macro"] = metrics.auc(fpr["macro"], tpr["macro"])
plt.figure(figsize=(12,12))
plt.plot(fpr["macro"], tpr["macro"],
label = "macro-average ROC curve with AUC = {} - Accuracy = {}%".format(
round(roc_auc["macro"], 2), round(test_accuracy, 2)),
color = "navy", linestyle=":", linewidth=4)
colors = cycle(["red", "orange", "blue", "pink", "green"])
for i, color in zip(range(num_class), colors):
plt.plot(fpr[i], tpr[i], color=color, lw=2,
label = "ROC curve of class {0} (AUC = {1:0.2f})".format(i, roc_auc[i]))
plt.plot([0,1], [0,1], "k--", lw=2)
plt.title("ROC-AUC for Random Forest".format(type_search), fontsize=20)
plt.xlabel("False Positive Rate", fontsize=15)
plt.ylabel("True Positive Rate", fontsize=15)
plt.legend(loc="lower right")
plt.show()
importances = best_clf.feature_importances_
indices = np.argsort(importances)[::-1]
return {"importance": importances,
"index": indices,
"y_pred": y_pred,
"y_pred_prob": y_pred_prob}
def RF_classifier(X_train, y_train, X_test, y_test, scoring, type_search, num_class, output_file, top_feature, class_name):
#f = open("output.txt", "a")
print("*"*100)
print("Starting {} steps with {} for evaluation rules...".format(type_search, scoring))
print("*"*100)
rsearch_cv = get_RandSearchCV(X_train, y_train, X_test, y_test, scoring, type_search, output_file)
best_estimator = rsearch_cv.best_estimator_
max_depth = rsearch_cv.best_estimator_.max_depth
n_estimators = rsearch_cv.best_estimator_.n_estimators
var_imp_rf = performance_rand(best_estimator, X_train, y_train, X_test, y_test, type_search,
num_class, output_file, class_name)
print("\n~~~~~~~~~~~~~ Features ranking and ploting ~~~~~~~~~~~~~~~~~~~~~\n", file=output_file)
importances_rf = var_imp_rf["importance"]
indices_rf = var_imp_rf["index"]
y_pred = var_imp_rf["y_pred"]
feature_tab = pd.DataFrame({"Features" : list(X_train.columns),
"Importance": importances_rf})
feature_tab = feature_tab.sort_values("Importance", ascending = False).reset_index(drop=True)
print(feature_tab, file=output_file)
#index = np.arange(len(X_train.columns))
#importance_desc = sorted(importances_rf)
index = feature_tab["Features"].iloc[:top_feature]
importance_desc = feature_tab["Importance"].iloc[:top_feature]
feature_space = []
for i in range(indices_rf.shape[0]-1, -1, -1):
feature_space.append(X_train.columns[indices_rf[i]])
fig, ax = plt.subplots(figsize=(20,25))
ax = plt.gca()
plt.title("Feature importances of Random Forest".format(type_search), fontsize=30)
plt.barh(index, importance_desc, align="center", color="blue", alpha=0.6)
plt.grid(axis="x", color="white", linestyle="-")
plt.yticks(fontsize=30)
plt.xticks(fontsize=20)
plt.xlabel("The Average of Decrease in Impurity", fontsize=20)
plt.ylabel("Features", fontsize=30)
ax.tick_params(axis="both", which="both", length=0)
plt.show()
return {"Main Results": var_imp_rf,
"Importance Features": feature_tab}
###############################################################################
################### Stratified K-Folds cross-validator ########################
###############################################################################
def RF_SKF(rf, X, y, num_cv = 5, random_state = 42):
skf = StratifiedKFold(n_splits = 5, shuffle = True, random_state = 42)
test_accuracies = 0
test_precisions = 0
test_recalls = 0
test_f1s = 0
cv_count = 0
# rf = RandomForestClassifier(n_estimators = 100)
for train, test in skf.split(X,y):
probas_ = rf.fit(X.iloc[train], y.iloc[train]).predict_proba(X.iloc[test])
y_pred = rf.predict(X.iloc[test])
test_accuracy = metrics.accuracy_score(y.iloc[test], y_pred, normalize = True) * 100
test_accuracies += test_accuracy
test_precision = metrics.precision_score(y.iloc[test], y_pred, average="macro")
test_precisions += test_precision
test_recall_score = metrics.recall_score(y.iloc[test], y_pred, average="macro")
test_recalls += test_recall_score
test_f1_score = metrics.f1_score(y.iloc[test], y_pred, average="macro")
test_f1s += test_f1_score
cv_count += 1
test_accuracies /= cv_count
test_precisions /= cv_count
test_recalls /= cv_count
test_f1s /= cv_count
return {i: j for i, j in
zip(("Accuracy", "Precision_Score", "Recall_Score", "F1_Score"),
(test_accuracies, test_precisions, test_recalls, test_f1s))}
def RF_SKF_search(X, y, n_est, crit, max_depth, min_split, min_leaf, max_feature,
num_cv = 5, random_state = 42, report_loop = True):
print(n_est, crit, min_split, min_leaf)
rf = RandomForestClassifier(n_estimators = n_est,
max_depth = max_depth,
criterion = crit,
min_samples_split = min_split,
min_samples_leaf = min_leaf,
max_features = max_feature,
random_state = random_state)
# Cross_validated results
try:
results = RF_SKF(rf, X, y, num_cv = num_cv, random_state = random_state)
except:
results = {"Accuracy": np.nan}
# Get oob_score for non-cross validated results
rf = RandomForestClassifier(n_estimators = n_est,
max_depth = max_depth,
criterion = crit,
min_samples_split = min_split,
min_samples_leaf = min_leaf,
max_features = max_feature,
random_state = random_state,
oob_score = True)
try:
score = rf.fit(X, y).oob_score_
except:
score = np.nan
if report_loop == True:
print("Finished. (Accuracy = {:.2f}%)".format(results["Accuracy"]))
return [n_est, crit, max_depth, min_split, min_leaf, max_feature,
results["Accuracy"], results["Precision_Score"], results["Recall_Score"], results["F1_Score"], score]
def RF_SKF_run(X, y, report_loop = True):
# Numer of trees are used
n_estimators = [50, 100, 150, 200, 250, 300]
criterion = ["gini", "entropy"]
# Maximum depth of each tree
max_depths = [5, 10, 25, 50, 75, 100]
# Minimum number of samples per leaf
min_samples_leaf = [1, 2, 4, 8, 10]
# Minimum number of samples to split a node
min_samples_split = [2, 4, 6, 8, 10]
# Maximum numeber of features to consider for making splits
max_featuress = ["auto", "sqrt", "log2", None]
random_state = 42
rf_result_all = []
for crit in criterion:
for min_split in min_samples_split:
for min_leaf in min_samples_leaf:
for n_est in n_estimators:
for max_depth in max_depths:
for max_features in max_featuress:
rf_result = RF_SKF_search(X, y, n_est, crit, max_depth,
min_split, min_leaf, max_features, random_state,
report_loop = report_loop)
rf_result_all.append(rf_result)
rf_result_df = pd.DataFrame(rf_result_all,
columns = ["n_estimators", "criterion", "max_depth",
"min_samples_split", "min_samples_leaf", "max_features",
"Accurancy", "Precision_Score", "Recall_Score", "F1_score",
"oob_score"]).sort_values("Accurancy", ascending = False).reset_index(drop=True)
return rf_result_df
def performance_SKF(best_clf, X_train, y_train, X_test, y_test, type_search, num_class, output_file):
#f = open("output.txt", "a")
print("-"*100)
print("~~~~~~~~~~~~~~~~~~ PERFORMANCE EVALUATION ~~~~~~~~~~~~~~~~~~~~~~~~", file=output_file)
print("Detailed report for the {} algorithm".format(type_search), file=output_file)
best_clf.fit(X_train, y_train)
y_pred = best_clf.predict(X_test)
y_pred_prob = best_clf.predict_proba(X_test)
test_accuracy = accuracy_score(y_test, y_pred, normalize=True) * 100
points = accuracy_score(y_test, y_pred, normalize=False)
print("The number of accurate predictions out of {} data points on unseen data is {}".format(
X_test.shape[0], points), file=output_file)
print("Accuracy of the {} model on unseen data is {}".format(
type_search, np.round(test_accuracy, 2)), file=output_file)
print("Precision of the {} model on unseen data is {}".format(
type_search, np.round(metrics.precision_score(y_test, y_pred, average="macro"), 4)), file=output_file)
print("Recall of the {} model on unseen data is {}".format(
type_search, np.round(metrics.recall_score(y_test, y_pred, average="macro"), 4)), file=output_file)
print("F1 score of the {} model on unseen data is {}".format(
type_search, np.round(metrics.f1_score(y_test, y_pred, average="macro"), 4)), file=output_file)
print("\nClassification report for {} model: \n".format(type_search), file=output_file)
print(metrics.classification_report(y_test, y_pred), file=output_file)
plt.figure(figsize=(12,12))
cnf_matrix = metrics.confusion_matrix(y_test, y_pred)
cnf_matrix_norm = cnf_matrix.astype('float') / cnf_matrix.sum(axis=1)[:, np.newaxis]
print("\nThe Confusion Matrix: \n", file=output_file)
print(cnf_matrix, file=output_file)
"""
cmap = plt.cm.Blues
plt.imshow(cnf_matrix, interpolation="nearest", cmap=cmap)
plt.colorbar()
fmt = "d"
thresh = cnf_matrix.max()/2
for i, j in itertools.product(range(cnf_matrix.shape[0]), range(cnf_matrix.shape[1])):
plt.text(j,i,format(cnf_matrix[i,j], fmt), ha="center", va="center",
color="white" if cnf_matrix[i,j] > thresh else "black")
"""
cmap = plt.cm.Blues
sns.heatmap(cnf_matrix_norm, annot=True, cmap=cmap, fmt=".2f", annot_kws={"size":15}, linewidths=.05)
plt.title("The Normalized Confusion Matrix - {}".format(type_search), fontsize=20)
plt.ylabel("True label", fontsize=15)
plt.xlabel("Predicted label", fontsize=15)
plt.show()
print("\nROC curve and AUC")
y_pred = best_clf.predict(X_test)
y_pred_prob = best_clf.predict_proba(X_test)
y_test_cat = np.array(pd.get_dummies(y_test))
fpr = dict()
tpr = dict()
roc_auc = dict()
for i in range(num_class):
fpr[i], tpr[i], _ = metrics.roc_curve(y_test_cat[:,i], y_pred_prob[:,i])
roc_auc[i] = metrics.auc(fpr[i], tpr[i])
all_fpr = np.unique(np.concatenate([fpr[i] for i in range(num_class)]))
mean_tpr = np.zeros_like(all_fpr)
for i in range(num_class):
mean_tpr += interp(all_fpr, fpr[i], tpr[i])
mean_tpr /= num_class
fpr["macro"] = all_fpr
tpr["macro"] = mean_tpr
roc_auc["macro"] = metrics.auc(fpr["macro"], tpr["macro"])
plt.figure(figsize=(12,12))
plt.plot(fpr["macro"], tpr["macro"],
label = "macro-average ROC curve with AUC = {} - Accuracy = {}%".format(
round(roc_auc["macro"], 2), round(test_accuracy, 2)),
color = "navy", linestyle=":", linewidth=4)
colors = cycle(["red", "orange", "blue", "pink", "green"])
for i, color in zip(range(num_class), colors):
plt.plot(fpr[i], tpr[i], color=color, lw=2,
label = "ROC curve of class {0} (AUC = {1:0.2f})".format(i, roc_auc[i]))
plt.plot([0,1], [0,1], "k--", lw=2)
plt.title("ROC-AUC for {}".format(type_search), fontsize=20)
plt.xlabel("False Positive Rate", fontsize=15)
plt.ylabel("True Positive Rate", fontsize=15)
plt.legend(loc="lower right")
plt.show()
importances = best_clf.feature_importances_
indices = np.argsort(importances)[::-1]
return {"importance": importances,
"index": indices,
"y_pred": y_pred,
"y_pred_prob": y_pred_prob}
###############################################################################
################ Forward algorithm to variable selection ######################
###############################################################################
def random_forest_forward(X_train, y_train, X_test, y_test, n_selected_features = 1000, scoring='accuracy'):
from sklearn.model_selection import TimeSeriesSplit
from datetime import datetime as dt
import warnings
warnings.filterwarnings("ignore")
st_t = dt.now()
n_samples, n_features = X_train.shape
n_estimators = [5, 10, 50, 100, 150, 200, 250, 300]
max_depth = [5, 10, 25, 50, 75, 100]
min_samples_leaf = [1, 2, 4, 8, 10]
min_samples_split = [2, 4, 6, 8, 10]
max_features = ["auto", "sqrt", "log2", None]
hyperparameter = {'n_estimators': n_estimators,
'max_depth': max_depth,
'min_samples_leaf': min_samples_leaf,
'min_samples_split': min_samples_split,
'max_features': max_features}
cv_timeSeries = TimeSeriesSplit(n_splits=5).split(X_train)
base_model_rf = RandomForestClassifier(criterion='gini', random_state=42)
n_iter_search = 30
scoring = scoring
# selected feature set, initialized to be empty
F = []
count = 0
ddict = {}
all_F = []
all_c = []
all_acc = []
all_model = []
while count < n_selected_features:
max_acc = 0
for i in X_train.columns:
if i not in F:
F.append(i)
X_train_tmp = X_train[F]
acc = 0
rsearch_cv = RandomizedSearchCV(estimator=base_model_rf,
random_state=42,
param_distributions=hyperparameter,
n_iter=n_iter_search,
#cv=cv_timeSeries,
cv=2,
scoring=scoring,
n_jobs=-1)
rsearch_cv.fit(X_train_tmp, y_train)
best_estimator = rsearch_cv.best_estimator_
y_pred = best_estimator.predict(X_test[F])
acc = metrics.accuracy_score(y_test, y_pred)
F.pop()
if acc > max_acc:
max_acc = acc
idx = i
best_model = best_estimator
F.append(idx)
count += 1
print("The current number of features: {} - Accuracy: {}%".format(count, round(max_acc*100, 2)))
all_F.append(np.array(F))
all_c.append(count)
all_acc.append(max_acc)
all_model.append(best_model)
c = pd.DataFrame(all_c)
a = pd.DataFrame(all_acc)
f = pd.DataFrame(all_F)
f["All"] = f[f.columns[0:]].apply(
lambda x: ', '.join(x.dropna().astype(str)), axis=1)
all_info = pd.concat([c, a, f["All"]], axis=1)
all_info.columns = ['Num_feature', 'Accuracy', 'Feature']
all_info = all_info.sort_values(by='Accuracy', ascending=False).reset_index(drop=True)
print("The total time for searching subset: {}".format(dt.now()-st_t))
return all_info, all_model, f
def random_forest_randomforward(X_train, y_train, X_test, y_test,
n_selected_features = 1000, scoring='accuracy', n_iter=1000):
from sklearn.model_selection import TimeSeriesSplit
from datetime import datetime as dt
import random
import warnings
warnings.filterwarnings("ignore")
st_t = dt.now()
n_samples, n_features = X_train.shape
n_estimators = [5, 10, 50, 100, 150, 200, 250, 300]
max_depth = [5, 10, 25, 50, 75, 100]
min_samples_leaf = [1, 2, 4, 8, 10]
min_samples_split = [2, 4, 6, 8, 10]
max_features = ["auto", "sqrt", "log2", None]
hyperparameter = {'n_estimators': n_estimators,
'max_depth': max_depth,
'min_samples_leaf': min_samples_leaf,
'min_samples_split': min_samples_split,
'max_features': max_features}
cv_timeSeries = TimeSeriesSplit(n_splits=5).split(X_train)
base_model_rf = RandomForestClassifier(criterion='gini', random_state=42)
n_iter_search = 30
scoring = scoring
# selected feature set, initialized to be empty
count = 0
ddict = {}
all_F = []
all_c = []
all_acc = []
all_model = []
while count < n_selected_features:
#F = []
max_acc = 0
for i in range(n_iter):
col_train = random.sample(list(X_train.columns), count+1)
col_train = np.array(col_train)
X_train_tmp = X_train[col_train]
acc = 0
rsearch_cv = RandomizedSearchCV(estimator=base_model_rf,
random_state=42,
param_distributions=hyperparameter,
n_iter=n_iter_search,
#cv=cv_timeSeries,
cv=2,
scoring=scoring,
n_jobs=-1)
rsearch_cv.fit(X_train_tmp, y_train)
best_estimator = rsearch_cv.best_estimator_
y_pred = best_estimator.predict(X_test[col_train])
acc = metrics.accuracy_score(y_test, y_pred)
if acc > max_acc:
max_acc = acc
idx = col_train
best_model = best_estimator
#F.append(idx)
count += 1
print("The current number of features: {} - Accuracy: {}%".format(count, round(max_acc*100, 2)))
all_F.append(idx)
all_c.append(count)
all_acc.append(max_acc)
all_model.append(best_model)
c = pd.DataFrame(all_c)
a = pd.DataFrame(all_acc)
f = pd.DataFrame(all_F)
f["All"] = f[f.columns[0:]].apply(
lambda x: ', '.join(x.dropna().astype(str)), axis=1)
all_info = pd.concat([c, a, f["All"]], axis=1)
all_info.columns = ['Num_features', 'Accuracy', 'Features']
all_info = all_info.sort_values(by='Accuracy', ascending=False).reset_index(drop=True)
print("The total time for searching subset: {}".format(dt.now()-st_t))
return all_info, all_model, f
def xgboost_forward(X_train, y_train, X_test, y_test, n_selected_features = 1000, scoring='accuracy'):
from sklearn.model_selection import TimeSeriesSplit
from datetime import datetime as dt
import random
import warnings
warnings.filterwarnings("ignore")
st_t = dt.now()
n_samples, n_features = X_train.shape
n_estimators = [5, 10, 50, 100, 150, 200, 250, 300]
max_depth = [5, 10, 25, 50, 75, 100]
min_child_weight = [5, 10, 25, 50, 75, 100]
gamma = [0.5, 1, 1.5, 2, 5]
subsample = [0.2, 0.4, 0.6, 0.8, 1]
colsample_bytree = [0.2, 0.4, 0.6, 0.8, 1]
hyperparameter = {'n_estimators': n_estimators,
'max_depth': max_depth,
'min_child_weight': min_child_weight,
'gamma': gamma,
'subsample': subsample,
'colsample_bytree': colsample_bytree}
cv_timeSeries = TimeSeriesSplit(n_splits=5).split(X_train)
xgb = XGBClassifier(learning_rate=0.02, objective='multi:softmax', silent=True, nthread=20)
n_iter_search = 30
scoring = scoring
# selected feature set, initialized to be empty
F = []
count = 0
ddict = {}
all_F = []
all_c = []
all_acc = []
all_model = []
while count < n_selected_features:
max_acc = 0
for i in X_train.columns:
if i not in F:
F.append(i)
X_train_tmp = X_train[F]
acc = 0
rsearch_cv = RandomizedSearchCV(estimator=xgb,
random_state=42,
param_distributions=hyperparameter,
n_iter=n_iter_search,
#cv=cv_timeSeries,
cv=2,
scoring=scoring,
n_jobs=-1)
rsearch_cv.fit(X_train_tmp, y_train)
best_estimator = rsearch_cv.best_estimator_
y_pred = best_estimator.predict(X_test[F])
acc = metrics.accuracy_score(y_test, y_pred)
F.pop()
if acc > max_acc:
max_acc = acc
idx = i
best_model = best_estimator
F.append(idx)
count += 1
print("The current number of features: {} - Accuracy: {}%".format(count, round(max_acc*100, 2)))
all_F.append(np.array(F))
all_c.append(count)
all_acc.append(max_acc)
all_model.append(best_model)
c = pd.DataFrame(all_c)
a = pd.DataFrame(all_acc)
f = pd.DataFrame(all_F)
f["All"] = f[f.columns[0:]].apply(
lambda x: ', '.join(x.dropna().astype(str)), axis=1)
all_info = pd.concat([c, a, f["All"]], axis=1)
all_info.columns = ['Num_feature', 'Accuracy', 'Feature']
all_info = all_info.sort_values(by='Accuracy', ascending=False).reset_index(drop=True)
print("The total time for searching subset: {}".format(dt.now()-st_t))
return all_info, all_model, f
def evaluate_multiclass(best_clf, X_train, y_train, X_test, y_test,
model="Random Forest", num_class=3, top_features=2, n_selected_features=2, class_name = ""):
print("-"*100)
print("~~~~~~~~~~~~~~~~~~ PERFORMANCE EVALUATION ~~~~~~~~~~~~~~~~~~~~~~~~")
print("Detailed report for the {} algorithm".format(model))
best_clf.fit(X_train, y_train)
y_pred = best_clf.predict(X_test)
y_pred_prob = best_clf.predict_proba(X_test)
test_accuracy = accuracy_score(y_test, y_pred, normalize=True) * 100
points = accuracy_score(y_test, y_pred, normalize=False)
print("The number of accurate predictions out of {} data points on unseen data is {}".format(
X_test.shape[0], points))
print("Accuracy of the {} model on unseen data is {}".format(
model, np.round(test_accuracy, 2)))
print("Precision of the {} model on unseen data is {}".format(
model, np.round(metrics.precision_score(y_test, y_pred, average="macro"), 4)))
print("Recall of the {} model on unseen data is {}".format(
model, np.round(metrics.recall_score(y_test, y_pred, average="macro"), 4)))
print("F1 score of the {} model on unseen data is {}".format(
model, np.round(metrics.f1_score(y_test, y_pred, average="macro"), 4)))
print("\nClassification report for {} model: \n".format(model))
print(metrics.classification_report(y_test, y_pred))
plt.figure(figsize=(12,12))
cnf_matrix = metrics.confusion_matrix(y_test, y_pred)
cnf_matrix_norm = cnf_matrix.astype('float') / cnf_matrix.sum(axis=1)[:, np.newaxis]
print("\nThe Confusion Matrix: \n")
print(cnf_matrix)
#class_name = ["CDI", "ignore-nonCDI", "Health"]
# class_name = ["CRC", "Adenomas", "Health"]
class_name = class_name
cmap = plt.cm.Blues
plt.imshow(cnf_matrix_norm, interpolation="nearest", cmap=cmap)
plt.colorbar()
fmt = ".2g"
thresh = cnf_matrix_norm.max()/2
for i, j in itertools.product(range(cnf_matrix_norm.shape[0]), range(cnf_matrix_norm.shape[1])):
plt.text(j,i,format(cnf_matrix_norm[i,j], fmt), ha="center", va="center",
color="white" if cnf_matrix_norm[i,j] > thresh else "black", fontsize=35)
plt.xticks(np.arange(num_class), labels = class_name, fontsize=30)
plt.yticks(np.arange(num_class), labels = class_name, fontsize=30)
plt.ylabel("True label", fontsize=30)
plt.xlabel("Predicted label", fontsize=30)
plt.ylim((num_class - 0.5, -0.5))
plt.show()
print("\nROC curve and AUC")
y_pred = best_clf.predict(X_test)
y_pred_prob = best_clf.predict_proba(X_test)
y_test_cat = np.array(pd.get_dummies(y_test))
fpr = dict()
tpr = dict()
roc_auc = dict()
for i in range(num_class):
fpr[i], tpr[i], _ = metrics.roc_curve(y_test_cat[:,i], y_pred_prob[:,i])
roc_auc[i] = metrics.auc(fpr[i], tpr[i])
all_fpr = np.unique(np.concatenate([fpr[i] for i in range(num_class)]))
mean_tpr = np.zeros_like(all_fpr)
for i in range(num_class):
mean_tpr += interp(all_fpr, fpr[i], tpr[i])
mean_tpr /= num_class
fpr["macro"] = all_fpr
tpr["macro"] = mean_tpr
roc_auc["macro"] = metrics.auc(fpr["macro"], tpr["macro"])
plt.figure(figsize=(12,12))
plt.plot(fpr["macro"], tpr["macro"],
label = "macro-average ROC curve with AUC = {} - Accuracy = {}%".format(
round(roc_auc["macro"], 2), round(test_accuracy, 2)),
color = "navy", linestyle=":", linewidth=4)
#colors = cycle(["red", "orange", "blue", "pink", "green"])
colors = sns.color_palette()
for i, color in zip(range(num_class), colors):
plt.plot(fpr[i], tpr[i], color=color, lw=2,
label = "ROC curve of class {0} (AUC = {1:0.2f})".format(i, roc_auc[i]))
plt.plot([0,1], [0,1], "k--", lw=3, color='red')
plt.title("ROC-AUC for {} with {} selected features".format(model, n_selected_features), fontsize=20)
plt.xlabel("False Positive Rate", fontsize=15)
plt.ylabel("True Positive Rate", fontsize=15)
plt.legend(loc="lower right")
plt.show()
if model == "Random Forest" or model == "XGBoost":
importances = best_clf.feature_importances_
indices = np.argsort(importances)[::-1]
feature_tab = pd.DataFrame({"Features": list(X_train.columns),
"Importance": importances})
feature_tab = feature_tab.sort_values("Importance", ascending = False).reset_index(drop=True)
index = feature_tab["Features"].iloc[:top_features]
importance_desc = feature_tab["Importance"].iloc[:top_features]
feature_space = []
for i in range(indices.shape[0]-1, -1, -1):
feature_space.append(X_train.columns[indices[i]])
fig, ax = plt.subplots(figsize=(20,20))
ax = plt.gca()
plt.title("Feature importances for {} selected features".format(n_selected_features), fontsize=30)
plt.barh(index, importance_desc, align="center", color="blue", alpha=0.6)
plt.grid(axis="x", color="white", linestyle="-")
plt.xlabel("The Average of Decrease in Impurity", fontsize=20)
plt.ylabel("Features", fontsize=30)
plt.yticks(fontsize=30)
plt.xticks(fontsize=20)
ax.tick_params(axis="both", which="both", length=0)
plt.show()
return {"importance": feature_tab,
"y_pred": y_pred,
"y_pred_prob": y_pred_prob}
return {"y_pred": y_pred,
"y_pred_prob": y_pred_prob}
| 39.605928 | 123 | 0.588759 | 4,660 | 36,081 | 4.328326 | 0.092704 | 0.016113 | 0.015617 | 0.011899 | 0.812593 | 0.792613 | 0.761031 | 0.731879 | 0.721418 | 0.711304 | 0 | 0.024572 | 0.275879 | 36,081 | 911 | 124 | 39.605928 | 0.747426 | 0.041102 | 0 | 0.723869 | 0 | 0 | 0.122331 | 0.00367 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017161 | false | 0 | 0.092044 | 0 | 0.127925 | 0.084243 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
3ed0761c57671395000353a41da8c4438b1a3ad1 | 16,423 | py | Python | core/trainers.py | manzar96/st7 | 8dac6fa3497e5a3594766a232a9e8436120e9563 | [
"MIT"
] | null | null | null | core/trainers.py | manzar96/st7 | 8dac6fa3497e5a3594766a232a9e8436120e9563 | [
"MIT"
] | null | null | null | core/trainers.py | manzar96/st7 | 8dac6fa3497e5a3594766a232a9e8436120e9563 | [
"MIT"
] | null | null | null | import random
import torch.nn as nn
import numpy as np
import copy
import sklearn
import os
import torch
import math
import time
from tqdm import tqdm
from sklearn.model_selection import KFold
from typing import cast, List, Optional, Tuple, TypeVar
from core.utils.tensors import to_device
TrainerType = TypeVar('TrainerType', bound='Trainer')
class BertTrainer:
def __init__(self, model,
optimizer,
patience,
criterion,
checkpoint_with=None,
checkpoint_max=False,
metrics=None,
scheduler=None,
checkpoint_dir=None,
clip=None,
device='cpu'):
self.model = model.to(device)
self.optimizer = optimizer
self.scheduler = scheduler
self.checkpoint_dir = checkpoint_dir
self.clip = clip
self.device = device
self.patience = patience
self.criterion = criterion
self.metrics = metrics
self.checkpoint_with =checkpoint_with
self.checkpoint_max = checkpoint_max
def calc_val_loss(self, val_loader):
self.model.eval()
with torch.no_grad():
avg_val_loss = 0
f1=[]
acc=[]
metrics_dict={}
for index, batch in enumerate(tqdm(val_loader)):
inputs = to_device(batch[0], device=self.device)
inputs_att = to_device(batch[1], device=self.device)
targets = to_device(batch[2], device=self.device)
outputs = self.model(input_ids=inputs,
attention_mask=inputs_att)
loss = self.criterion(outputs, targets)
avg_val_loss += loss.item()
if 'f1-score' in self.metrics:
preds = torch.argmax(outputs, dim=1)
true = copy.deepcopy(targets)
f1.append(sklearn.metrics.f1_score(true.cpu().numpy(),
preds.cpu().numpy()))
if 'accuracy' in self.metrics:
preds = torch.argmax(outputs, dim=1)
true = copy.deepcopy(targets)
acc.append(sklearn.metrics.accuracy_score(true.cpu(
).numpy(), preds.cpu().numpy()))
avg_val_loss = avg_val_loss / len(val_loader)
if 'f1-score' in self.metrics:
metrics_dict['f1-score'] = np.mean(f1)
if 'accuracy' in self.metrics:
metrics_dict['accuracy'] = np.mean(acc)
return avg_val_loss, metrics_dict
def print_epoch(self, epoch, avg_train_epoch_loss, avg_val_epoch_loss,
metrics_dict,
cur_patience, strt):
print("Epoch {}:".format(epoch+1))
print("Train loss: {} ".format(
avg_train_epoch_loss))
print("Val loss: {} ".format(avg_val_epoch_loss))
for metric in metrics_dict.keys():
print("Metric {}: {}".format(metric, metrics_dict[metric]))
print("Patience left: {}".format(self.patience-cur_patience))
print("Time: {} mins".format((time.time() - strt) / 60.0))
print("++++++++++++++++++")
def save_epoch(self, epoch, loss=None):
if not os.path.exists(self.checkpoint_dir):
os.makedirs(self.checkpoint_dir)
torch.save(self.model.state_dict(), os.path.join(
self.checkpoint_dir, 'model_checkpoint.pth'))
# we use the proposed method for saving EncoderDecoder model
#self.model.save_pretrained(os.path.join(self.checkpoint_dir,
# 'model_checkpoint'))
def train_step(self, batch):
self.model.train()
self.optimizer.zero_grad()
inputs = to_device(batch[0], device=self.device)
inputs_att = to_device(batch[1], device=self.device)
targets = to_device(batch[2], device=self.device)
outputs = self.model(input_ids=inputs,
attention_mask=inputs_att)
loss = self.criterion(outputs, targets)
# print(loss)
return loss
def train_epochs(self, n_epochs, train_loader, val_loader):
best_val_max, cur_patience = 0, 0
best_val_min = 10000
print("Training model....")
self.model.train()
for epoch in range(n_epochs):
if cur_patience == self.patience:
break
avg_train_loss = 0
strt = time.time()
for index, sample_batch in enumerate(tqdm(train_loader)):
loss = self.train_step(sample_batch)
avg_train_loss += loss.item()
loss.backward(retain_graph=False)
if self.clip is not None:
torch.nn.utils.clip_grad_norm_(self.model.parameters(),
self.clip)
self.optimizer.step()
avg_train_loss = avg_train_loss / len(train_loader)
avg_val_loss, metrics_dict = self.calc_val_loss(val_loader)
if self.checkpoint_with:
avg_val = metrics_dict[self.checkpoint_with]
else:
avg_val = avg_val_loss
if self.checkpoint_max:
if avg_val > best_val_max:
self.save_epoch(epoch)
best_val_max = avg_val
cur_patience = 0
else:
cur_patience += 1
else:
if avg_val < best_val_min:
self.save_epoch(epoch)
best_val_min = avg_val
cur_patience = 0
else:
cur_patience += 1
self.print_epoch(epoch, avg_train_loss, avg_val_loss, metrics_dict,
cur_patience, strt)
def fit(self, train_loader, val_loader, epochs):
self.train_epochs(epochs, train_loader, val_loader)
class BertTrainerKfold:
# https: // github.com / PyTorchLightning / pytorch - lightning / issues / 839
def __init__(self, folds, trainer):
self.folds = folds
self.trainer = trainer
self.kf = KFold(n_splits=folds)
def fit(self, dataset):
raise NotImplementedError("Not implemented yet!")
# for forld, (train_idx,valid_idx) in enumerate (self.kf.split(
# train_df)):
# train_loader = ...
# valid_loader = ...
class T5Trainer:
def __init__(self, model,
optimizer,
patience,
criterion,
checkpoint_with=None,
checkpoint_max=False,
metrics=None,
scheduler=None,
checkpoint_dir=None,
clip=None,
device='cpu'):
self.model = model.to(device)
self.optimizer = optimizer
self.scheduler = scheduler
self.checkpoint_dir = checkpoint_dir
self.clip = clip
self.device = device
self.patience = patience
self.criterion = criterion
self.metrics = metrics
self.checkpoint_with =checkpoint_with
self.checkpoint_max = checkpoint_max
def calc_val_loss(self, val_loader):
self.model.eval()
with torch.no_grad():
avg_val_loss = 0
f1=[]
acc=[]
metrics_dict={}
for index, batch in enumerate(tqdm(val_loader)):
inputs = to_device(batch[0], device=self.device)
inputs_att = to_device(batch[1], device=self.device)
targets = to_device(batch[2], device=self.device)
outputs = self.model(input_ids=inputs,
attention_mask=inputs_att)
loss = self.criterion(outputs, targets)
avg_val_loss += loss.item()
if 'f1-score' in self.metrics:
preds = torch.argmax(outputs, dim=1)
true = copy.deepcopy(targets)
f1.append(sklearn.metrics.f1_score(true.cpu().numpy(),
preds.cpu().numpy()))
if 'accuracy' in self.metrics:
preds = torch.argmax(outputs, dim=1)
true = copy.deepcopy(targets)
acc.append(sklearn.metrics.accuracy_score(true.cpu(
).numpy(), preds.cpu().numpy()))
avg_val_loss = avg_val_loss / len(val_loader)
if 'f1-score' in self.metrics:
metrics_dict['f1-score'] = np.mean(f1)
if 'accuracy' in self.metrics:
metrics_dict['accuracy'] = np.mean(acc)
return avg_val_loss, metrics_dict
def print_epoch(self, epoch, avg_train_epoch_loss, avg_val_epoch_loss,
metrics_dict,
cur_patience, strt):
print("Epoch {}:".format(epoch+1))
print("Train loss: {} ".format(
avg_train_epoch_loss))
print("Val loss: {} ".format(avg_val_epoch_loss))
for metric in metrics_dict.keys():
print("Metric {}: {}".format(metric, metrics_dict[metric]))
print("Patience left: {}".format(self.patience-cur_patience))
print("Time: {} mins".format((time.time() - strt) / 60.0))
print("++++++++++++++++++")
def save_epoch(self, epoch, loss=None):
if not os.path.exists(self.checkpoint_dir):
os.makedirs(self.checkpoint_dir)
torch.save(self.model.state_dict(), os.path.join(
self.checkpoint_dir, 'model_checkpoint.pth'))
# we use the proposed method for saving EncoderDecoder model
#self.model.save_pretrained(os.path.join(self.checkpoint_dir,
# 'model_checkpoint'))
def train_step(self, batch):
self.model.train()
self.optimizer.zero_grad()
inputs = to_device(batch[0], device=self.device)
inputs_att = to_device(batch[1], device=self.device)
targets = to_device(batch[2], device=self.device)
outputs = self.model(input_ids=inputs,
attention_mask=inputs_att)
loss = self.criterion(outputs, targets)
# print(loss)
return loss
def train_epochs(self, n_epochs, train_loader, val_loader):
best_val_max, cur_patience = 0, 0
best_val_min = 10000
print("Training model....")
self.model.train()
for epoch in range(n_epochs):
if cur_patience == self.patience:
break
avg_train_loss = 0
strt = time.time()
for index, sample_batch in enumerate(tqdm(train_loader)):
loss = self.train_step(sample_batch)
avg_train_loss += loss.item()
loss.backward(retain_graph=False)
if self.clip is not None:
torch.nn.utils.clip_grad_norm_(self.model.parameters(),
self.clip)
self.optimizer.step()
avg_train_loss = avg_train_loss / len(train_loader)
avg_val_loss, metrics_dict = self.calc_val_loss(val_loader)
if self.checkpoint_with:
avg_val = metrics_dict[self.checkpoint_with]
else:
avg_val = avg_val_loss
if self.checkpoint_max:
if avg_val > best_val_max:
self.save_epoch(epoch)
best_val_max = avg_val
cur_patience = 0
else:
cur_patience += 1
else:
if avg_val < best_val_min:
self.save_epoch(epoch)
best_val_min = avg_val
cur_patience = 0
else:
cur_patience += 1
self.print_epoch(epoch, avg_train_loss, avg_val_loss, metrics_dict,
cur_patience, strt)
def fit(self, train_loader, val_loader, epochs):
self.train_epochs(epochs, train_loader, val_loader)
class BertTrainerTask72(BertTrainer):
def train_step(self, batch):
self.model.train()
self.optimizer.zero_grad()
inputs = to_device(batch[0], device=self.device)
inputs_att = to_device(batch[1], device=self.device)
humor_rating = to_device(batch[2], device=self.device)
outputs = self.model(input_ids=inputs,
attention_mask=inputs_att)
outputs = outputs.squeeze(1)
loss = self.criterion(outputs, humor_rating)
return loss
def calc_val_loss(self, val_loader):
self.model.eval()
with torch.no_grad():
avg_val_loss = 0
metrics_dict={}
for index, batch in enumerate(tqdm(val_loader)):
inputs = to_device(batch[0], device=self.device)
inputs_att = to_device(batch[1], device=self.device)
humor_rating = to_device(batch[2], device=self.device)
outputs = self.model(input_ids=inputs,
attention_mask=inputs_att)
outputs = outputs.squeeze(1)
loss = self.criterion(outputs, humor_rating)
avg_val_loss += loss.item()
avg_val_loss = avg_val_loss / len(val_loader)
return avg_val_loss, metrics_dict
class BertTrainerTask73(BertTrainer):
def train_step(self, batch):
self.model.train()
self.optimizer.zero_grad()
inputs = to_device(batch[0], device=self.device)
inputs_att = to_device(batch[1], device=self.device)
targets = to_device(batch[3], device=self.device)
outputs = self.model(input_ids=inputs,
attention_mask=inputs_att)
loss = self.criterion(outputs, targets)
# print(loss)
return loss
def calc_val_loss(self, val_loader):
self.model.eval()
with torch.no_grad():
avg_val_loss = 0
f1=[]
acc=[]
prec = []
rec = []
metrics_dict={}
for index, batch in enumerate(tqdm(val_loader)):
inputs = to_device(batch[0], device=self.device)
inputs_att = to_device(batch[1], device=self.device)
targets = to_device(batch[3], device=self.device)
outputs = self.model(input_ids=inputs,
attention_mask=inputs_att)
loss = self.criterion(outputs, targets)
avg_val_loss += loss.item()
if 'f1-score' in self.metrics:
preds = torch.argmax(outputs, dim=1)
true = copy.deepcopy(targets)
f1.append(sklearn.metrics.f1_score(true.cpu().numpy(),
preds.cpu().numpy()))
if 'accuracy' in self.metrics:
preds = torch.argmax(outputs, dim=1)
true = copy.deepcopy(targets)
acc.append(sklearn.metrics.accuracy_score(true.cpu(
).numpy(), preds.cpu().numpy()))
if 'precision' in self.metrics:
preds = torch.argmax(outputs, dim=1)
true = copy.deepcopy(targets)
prec.append(sklearn.metrics.precision_score(true.cpu(
).numpy(), preds.cpu().numpy()))
if 'recall' in self.metrics:
preds = torch.argmax(outputs, dim=1)
true = copy.deepcopy(targets)
rec.append(sklearn.metrics.recall_score(true.cpu(
).numpy(), preds.cpu().numpy()))
avg_val_loss = avg_val_loss / len(val_loader)
if 'f1-score' in self.metrics:
metrics_dict['f1-score'] = np.mean(f1)
if 'accuracy' in self.metrics:
metrics_dict['accuracy'] = np.mean(acc)
if 'recall' in self.metrics:
metrics_dict['recall'] = np.mean(rec)
if 'precision' in self.metrics:
metrics_dict['precision'] = np.mean(prec)
return avg_val_loss, metrics_dict | 37.754023 | 82 | 0.54375 | 1,821 | 16,423 | 4.688633 | 0.092257 | 0.029515 | 0.030452 | 0.017803 | 0.914149 | 0.902436 | 0.896112 | 0.896112 | 0.892129 | 0.888381 | 0 | 0.00937 | 0.356634 | 16,423 | 435 | 83 | 37.754023 | 0.798694 | 0.031663 | 0 | 0.912181 | 0 | 0 | 0.031783 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056657 | false | 0 | 0.036827 | 0 | 0.130312 | 0.056657 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
de4f509ed789def2ab6f43d929384a0d69dadfaa | 152 | py | Python | nntools/tensorflow/__init__.py | redwankarimsony/UniFAD | 0edd851573313bdf013ca8f8844f45413dfd5373 | [
"MIT"
] | null | null | null | nntools/tensorflow/__init__.py | redwankarimsony/UniFAD | 0edd851573313bdf013ca8f8844f45413dfd5373 | [
"MIT"
] | null | null | null | nntools/tensorflow/__init__.py | redwankarimsony/UniFAD | 0edd851573313bdf013ca8f8844f45413dfd5373 | [
"MIT"
] | 1 | 2022-02-11T05:02:46.000Z | 2022-02-11T05:02:46.000Z | from . import utils
from . import watcher
from . import tensor_ops
from . import image_ops
from . import losses
# sub-packages
from . import networks
| 15.2 | 24 | 0.763158 | 22 | 152 | 5.181818 | 0.5 | 0.526316 | 0.22807 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.184211 | 152 | 9 | 25 | 16.888889 | 0.919355 | 0.078947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
debe4ecfafbb640588341ae9865bcaf146c41fb8 | 145 | py | Python | loldib/getratings/models/NA/na_jayce/__init__.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_jayce/__init__.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_jayce/__init__.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | from .na_jayce_top import *
from .na_jayce_jng import *
from .na_jayce_mid import *
from .na_jayce_bot import *
from .na_jayce_sup import *
| 24.166667 | 28 | 0.758621 | 25 | 145 | 4 | 0.36 | 0.3 | 0.55 | 0.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.172414 | 145 | 5 | 29 | 29 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
9d42233847540dfe78aca7892899ddd42ddb74ed | 29,768 | py | Python | src/ucclib.py | ymori206226/test | 001639831ea28814e071ba6a23e8c35da85b6908 | [
"Apache-2.0"
] | null | null | null | src/ucclib.py | ymori206226/test | 001639831ea28814e071ba6a23e8c35da85b6908 | [
"Apache-2.0"
] | null | null | null | src/ucclib.py | ymori206226/test | 001639831ea28814e071ba6a23e8c35da85b6908 | [
"Apache-2.0"
] | null | null | null | """
#######################
# quket #
#######################
ucclib.py
Functions preparing UCC-type gates and circuits.
Cost functions are also defined here.
"""
import time
import itertools
import numpy as np
from qulacs import QuantumState, QuantumCircuit
from qulacs.gate import PauliRotation
from . import config as cf
from .fileio import (SaveTheta, print_state, print_amplitudes,
print_amplitudes_spinfree, prints)
from .expope import Gdouble_ope
from .utils import orthogonal_constraint
def single_ope_Pauli(a, i, circuit, theta, approx=cf.approx_exp):
"""Function:
Construct exp[theta(a!i - i!a)] as a whole unitary and add to circuit
Author(s): Takashi Tsuchimochi
"""
ndim1 = a - (i+1)
ndim = ndim1 + 2
### Purpose:
### (1) Exp[ i theta*0.5 Prod_{k=i+1}^{a-1} Z_k Y_i X_a]
### (2) Exp[-i theta*0.5 Prod_{k=i+1}^{a-1} Z_k Y_a X_i]
target_list = [0]*ndim
target_list[:ndim1] = list(range(i+1, a))
target_list[ndim1:] = i, a
pauli_index = [3]*ndim
# (1) Yi,Xa
pauli_index[ndim1:] = 2, 1
gate = PauliRotation(target_list, pauli_index, theta)
circuit.add_gate(gate)
# (2) Xi,Ya
pauli_index[ndim1:] = 1, 2
gate = PauliRotation(target_list, pauli_index, -theta)
circuit.add_gate(gate)
def double_ope_Pauli(b, a, j, i, circuit, theta):
"""Function:
Construct exp[theta(a!b!ji - i!j!ba)]
as a whole unitary and add to circuit
Author(s): Takashi Tsuchimochi
"""
ndim1 = min(a, j) - (i+1)
ndim2 = ndim1 + b - (max(a, j)+1)
ndim = ndim2 + 4
### Purpose:
### (1) Exp[ i theta/8 Prod_{k=i+1}^{j-1} Z_k Prod_{l=a+1}^{b-1} Z_l (X_i X_j Y_a X_b)]
### (2) Exp[ i theta/8 Prod_{k=i+1}^{j-1} Z_k Prod_{l=a+1}^{b-1} Z_l (Y_i X_j Y_a Y_b)]
### (3) Exp[ i theta/8 Prod_{k=i+1}^{j-1} Z_k Prod_{l=a+1}^{b-1} Z_l (X_i Y_j Y_a Y_b)]
### (4) Exp[ i theta/8 Prod_{k=i+1}^{j-1} Z_k Prod_{l=a+1}^{b-1} Z_l (X_i X_j X_a Y_b)]
### (5) Exp[-i theta/8 Prod_{k=i+1}^{j-1} Z_k Prod_{l=a+1}^{b-1} Z_l (Y_i X_j X_a X_b)]
### (6) Exp[-i theta/8 Prod_{k=i+1}^{j-1} Z_k Prod_{l=a+1}^{b-1} Z_l (X_i Y_j X_a X_b)]
### (7) Exp[-i theta/8 Prod_{k=i+1}^{j-1} Z_k Prod_{l=a+1}^{b-1} Z_l (Y_i Y_j Y_a X_b)]
### (8) Exp[-i theta/8 Prod_{k=i+1}^{j-1} Z_k Prod_{l=a+1}^{b-1} Z_l (Y_i Y_j X_a Y_b)]
target_list = [0]*ndim
target_list[:ndim1] = list(range(i+1, min(a, j)))
target_list[ndim1:ndim2] = list(range(max(a, j)+1, b))
target_list[ndim2:] = i, j, a, b
pauli_index = [3]*ndim
### (1) Xi,Xj,Ya,Xb
pauli_index[ndim2:] = 1, 1, 2, 1
gate = PauliRotation(target_list, pauli_index, theta)
circuit.add_gate(gate)
### (2) Yi,Xj,Ya,Yb
pauli_index[ndim2:] = 2, 1, 2, 2
gate = PauliRotation(target_list, pauli_index, theta)
circuit.add_gate(gate)
### (3) Xi,Yj,Ya,Yb
pauli_index[ndim2:] = 1, 2, 2, 2
gate = PauliRotation(target_list, pauli_index, theta)
circuit.add_gate(gate)
### (4) Xi,Xj,Xa,Yb
pauli_index[ndim2:] = 1, 1, 1, 2
gate = PauliRotation(target_list, pauli_index, theta)
circuit.add_gate(gate)
### (5) Yi,Xj,Xa,Xb
pauli_index[ndim2:] = 2, 1, 1, 1
gate = PauliRotation(target_list, pauli_index, -theta)
circuit.add_gate(gate)
### (6) Xi,Yj,Xa,Xb
pauli_index[ndim2:] = 1, 2, 1, 1
gate = PauliRotation(target_list, pauli_index, -theta)
circuit.add_gate(gate)
### (7) Yi,Yj,Ya,Xb
pauli_index[ndim2:] = 2, 2, 2, 1
gate = PauliRotation(target_list, pauli_index, -theta)
circuit.add_gate(gate)
### (8) Yi,Yj,Xa,Yb
pauli_index[ndim2:] = 2, 2, 1, 2
gate = PauliRotation(target_list, pauli_index, -theta)
circuit.add_gate(gate)
def single_ope(a, i, circuit, theta):
"""Function:
Construct exp[theta(a!i - i!a)] by CNOTs and RZ and add to circuit
Author(s): Yuto Mori
"""
circuit.add_H_gate(a)
circuit.add_RX_gate(i, -np.pi*0.5)
for k in range(a, i, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_RZ_gate(i, theta)
for k in range(i, a):
circuit.add_CNOT_gate(k+1, k)
circuit.add_H_gate(a)
circuit.add_RX_gate(i, np.pi*0.5)
circuit.add_H_gate(i)
circuit.add_RX_gate(a, -np.pi*0.5)
for k in range(a, i, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_RZ_gate(i, -theta)
for k in range(i, a):
circuit.add_CNOT_gate(k+1, k)
circuit.add_H_gate(i)
circuit.add_RX_gate(a, np.pi*0.5)
def double_ope_1(b, a, j, i, circuit, theta):
"""Function:
Construct the first part of exp[theta(a!b!ji - i!j!ba)]
by CNOTs and RZ and add to circuit
Author(s): Yuto Mori
"""
circuit.add_H_gate(b)
circuit.add_H_gate(a)
circuit.add_RX_gate(j, -np.pi*0.5)
circuit.add_H_gate(i)
for k in range(b, a, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_CNOT_gate(a, j)
for k in range(j, i, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_RZ_gate(i, theta)
for k in range(i, j):
circuit.add_CNOT_gate(k+1, k)
circuit.add_CNOT_gate(a, j)
for k in range(a, b):
circuit.add_CNOT_gate(k+1, k)
circuit.add_H_gate(b)
circuit.add_H_gate(a)
circuit.add_RX_gate(j, np.pi*0.5)
circuit.add_H_gate(i)
def double_ope_2(b, a, j, i, circuit, theta):
"""Function:
Construct the second part of exp[theta(a!b!ji - i!j!ba)]
by CNOTs and RZ and add to circuit
Author(s): Yuto Mori
"""
circuit.add_RX_gate(b, -np.pi*0.5)
circuit.add_H_gate(a)
circuit.add_RX_gate(j, -np.pi*0.5)
circuit.add_RX_gate(i, -np.pi*0.5)
for k in range(b, a, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_CNOT_gate(a, j)
for k in range(j, i, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_RZ_gate(i, theta)
for k in range(i, j):
circuit.add_CNOT_gate(k+1, k)
circuit.add_CNOT_gate(a, j)
for k in range(a, b):
circuit.add_CNOT_gate(k+1, k)
circuit.add_RX_gate(b, np.pi*0.5)
circuit.add_H_gate(a)
circuit.add_RX_gate(j, np.pi*0.5)
circuit.add_RX_gate(i, np.pi*0.5)
def double_ope_3(b, a, j, i, circuit, theta):
"""Function:
Construct the third part of exp[theta ( a!b!ji - i!j!ba ) ] by CNOTs and RZ and add to circuit
Author(s): Yuto Mori
"""
circuit.add_H_gate(b)
circuit.add_RX_gate(a, -np.pi*0.5)
circuit.add_RX_gate(j, -np.pi*0.5)
circuit.add_RX_gate(i, -np.pi*0.5)
for k in range(b, a, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_CNOT_gate(a, j)
for k in range(j, i, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_RZ_gate(i, theta)
for k in range(i, j):
circuit.add_CNOT_gate(k+1, k)
circuit.add_CNOT_gate(a, j)
for k in range(a, b):
circuit.add_CNOT_gate(k+1, k)
circuit.add_H_gate(b)
circuit.add_RX_gate(a, np.pi*0.5)
circuit.add_RX_gate(j, np.pi*0.5)
circuit.add_RX_gate(i, np.pi*0.5)
def double_ope_4(b, a, j, i, circuit, theta):
"""Function:
Construct the fourth part of exp[theta(a!b!ji - i!j!ba)]
by CNOTs and RZ and add to circuit
Author(s): Yuto Mori
"""
circuit.add_H_gate(b)
circuit.add_H_gate(a)
circuit.add_H_gate(j)
circuit.add_RX_gate(i, -np.pi*0.5)
for k in range(b, a, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_CNOT_gate(a, j)
for k in range(j, i, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_RZ_gate(i, theta)
for k in range(i, j):
circuit.add_CNOT_gate(k+1, k)
circuit.add_CNOT_gate(a, j)
for k in range(a, b):
circuit.add_CNOT_gate(k+1, k)
circuit.add_H_gate(b)
circuit.add_H_gate(a)
circuit.add_H_gate(j)
circuit.add_RX_gate(i, np.pi*0.5)
def double_ope_5(b, a, j, i, circuit, theta):
"""Function:
Construct the fifth part of exp[theta(a!b!ji - i!j!ba)]
by CNOTs and RZ and add to circuit
Author(s): Yuto Mori
"""
circuit.add_RX_gate(b, -np.pi*0.5)
circuit.add_H_gate(a)
circuit.add_H_gate(j)
circuit.add_H_gate(i)
for k in range(b, a, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_CNOT_gate(a, j)
for k in range(j, i, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_RZ_gate(i, -theta)
for k in range(i, j):
circuit.add_CNOT_gate(k+1, k)
circuit.add_CNOT_gate(a, j)
for k in range(a, b):
circuit.add_CNOT_gate(k+1, k)
circuit.add_RX_gate(b, np.pi*0.5)
circuit.add_H_gate(a)
circuit.add_H_gate(j)
circuit.add_H_gate(i)
def double_ope_6(b, a, j, i, circuit, theta):
"""Function:
Construct the sixth part of exp[theta(a!b!ji - i!j!ba)]
by CNOTs and RZ and add to circuit
Author(s): Yuto Mori
"""
circuit.add_H_gate(b)
circuit.add_RX_gate(a, -np.pi*0.5)
circuit.add_H_gate(j)
circuit.add_H_gate(i)
for k in range(b, a, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_CNOT_gate(a, j)
for k in range(j, i, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_RZ_gate(i, -theta)
for k in range(i, j):
circuit.add_CNOT_gate(k+1, k)
circuit.add_CNOT_gate(a, j)
for k in range(a, b):
circuit.add_CNOT_gate(k+1, k)
circuit.add_H_gate(b)
circuit.add_RX_gate(a, np.pi*0.5)
circuit.add_H_gate(j)
circuit.add_H_gate(i)
def double_ope_7(b, a, j, i, circuit, theta):
"""Function:
Construct the seventh part of exp[theta(a!b!ji - i!j!ba)]
by CNOTs and RZ and add to circuit
Author(s): Yuto Mori
"""
circuit.add_RX_gate(b, -np.pi*0.5)
circuit.add_RX_gate(a, -np.pi*0.5)
circuit.add_RX_gate(j, -np.pi*0.5)
circuit.add_H_gate(i)
for k in range(b, a, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_CNOT_gate(a, j)
for k in range(j, i, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_RZ_gate(i, -theta)
for k in range(i, j):
circuit.add_CNOT_gate(k+1, k)
circuit.add_CNOT_gate(a, j)
for k in range(a, b):
circuit.add_CNOT_gate(k+1, k)
circuit.add_RX_gate(b, np.pi*0.5)
circuit.add_RX_gate(a, np.pi*0.5)
circuit.add_RX_gate(j, np.pi*0.5)
circuit.add_H_gate(i)
def double_ope_8(b, a, j, i, circuit, theta):
"""Function:
Construct the eighth part of exp[theta(a!b!ji - i!j!ba)]
by CNOTs and RZ and add to circuit
Author(s): Yuto Mori
"""
circuit.add_RX_gate(b, -np.pi*0.5)
circuit.add_RX_gate(a, -np.pi*0.5)
circuit.add_H_gate(j)
circuit.add_RX_gate(i, -np.pi*0.5)
for k in range(b, a, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_CNOT_gate(a, j)
for k in range(j, i, -1):
circuit.add_CNOT_gate(k, k-1)
circuit.add_RZ_gate(i, -theta)
for k in range(i, j):
circuit.add_CNOT_gate(k+1, k)
circuit.add_CNOT_gate(a, j)
for k in range(a, b):
circuit.add_CNOT_gate(k+1, k)
circuit.add_RX_gate(b, np.pi*0.5)
circuit.add_RX_gate(a, np.pi*0.5)
circuit.add_H_gate(j)
circuit.add_RX_gate(i, np.pi*0.5)
def double_ope(b, a, j, i, circuit, theta):
"""Function:
Wrapper for exp[theta(a!b!ji - i!j!ba)]
by CNOTs and RZ to be added to circuit
Author(s): Yuto Mori
"""
double_ope_1(b, a, j, i, circuit, theta)
double_ope_2(b, a, j, i, circuit, theta)
double_ope_3(b, a, j, i, circuit, theta)
double_ope_4(b, a, j, i, circuit, theta)
double_ope_5(b, a, j, i, circuit, theta)
double_ope_6(b, a, j, i, circuit, theta)
double_ope_7(b, a, j, i, circuit, theta)
double_ope_8(b, a, j, i, circuit, theta)
def ucc_occrot(circuit, noa, nob, nva, nvb, theta_list, ndim2=0):
"""Function:
Construct circuit to rotate occ-occ part (singles),
prod_ij exp[theta(i!j - j!i)]
Author(s): Yuto Mori
"""
# Test for occ-occ rotation (mostly or exactly redundant!)
ia = ndim2
### alpha ###
for a in range(noa):
a2 = 2*a
for i in range(a):
i2 = 2*i
single_ope(a2, i2, circuit, theta_list[ia])
ia += 1
### beta ###
for a in range(nob):
a2 = 2*a + 1
for i in range(a):
i2 = 2*i + 1
single_ope(a2, i2, circuit, theta_list[ia])
ia += 1
def ucc_Gsingles(circuit, norbs, theta_list, ndim2=0):
"""Function:
Construct circuit for generalized singles prod_pq exp[theta (p!q - q!p )]
Author(s): Yuto Mori
"""
ia = ndim2
### alpha ###
for a in range(norbs):
a2 = 2*a
for i in range(a):
i2 = 2*i
single_ope_Pauli(a2, i2, circuit, theta_list[ia])
ia += 1
### beta ###
for a in range(norbs):
a2 = 2*a + 1
for i in range(a):
i2 = 2*i + 1
single_ope_Pauli(a2, i2, circuit, theta_list[ia])
ia += 1
def ucc_singles(circuit, noa, nob, nva, nvb, theta_list, ndim2=0):
"""Function:
Construct circuit for UCC singles prod_ai exp[theta (a!i - i!a )]
Author(s): Yuto Mori
"""
ia = ndim2
### alpha ###
for a in range(nva):
a2 = 2*(a+noa)
for i in range(noa):
i2 = 2*i
#single_ope(a2,i2,circuit,theta_list[ia])
single_ope_Pauli(a2, i2, circuit, theta_list[ia])
ia += 1
### beta ###
for a in range(nvb):
a2 = 2*(a+nob) + 1
for i in range(nob):
i2 = 2*i + 1
#single_ope(a2,i2,circuit,theta_list[ia])
single_ope_Pauli(a2, i2, circuit, theta_list[ia])
ia += 1
def ucc_doubles(circuit, noa, nob, nva, nvb, theta_list, ndim1=0):
"""Function:
Construct circuit for UCC doubles prod_abij exp[theta (a!b!ji - i!j!ba )]
Author(s): Yuto Mori
"""
### aa -> aa ###
ijab = ndim1
for b in range(nva):
b2 = 2*(b+noa)
for a in range(b):
a2 = 2*(a+noa)
for j in range(noa):
j2 = 2*j
for i in range(j):
i2 = 2*i
#double_ope(b2, a2, j2, i2, circuit, theta_list[ijab])
double_ope_Pauli(b2, a2, j2, i2, circuit, theta_list[ijab])
ijab += 1
### ab -> ab ###
for b in range(nvb):
b2 = 2*(b+nob) + 1
#for a in range(min(b+1,nva)):
for a in range(nva):
a2 = 2*(a+noa)
for j in range(nob):
j2 = 2*j + 1
#for i in range(j+1):
for i in range(noa):
# b > a, j > i
i2 = 2*i
#double_ope(max(b2, a2), min(b2, a2),
# max(j2, i2), min(j2, i2),
# circuit, theta_list[ijab])
double_ope_Pauli(max(b2, a2), min(b2, a2),
max(j2, i2), min(j2, i2),
circuit, theta_list[ijab])
ijab += 1
### bb -> bb ###
for b in range(nvb):
b2 = 2*(b+nob) + 1
for a in range(b):
a2 = 2*(a+nob) + 1
for j in range(nob):
j2 = 2*j + 1
for i in range(j):
i2 = 2*i + 1
#double_ope(b2, a2, j2, i2, circuit, theta_list[ijab])
double_ope_Pauli(b2, a2, j2, i2, circuit, theta_list[ijab])
ijab += 1
def set_circuit_occrot(n_qubit_system, noa, nob, nva, nvb, theta1):
"""Function:
Construct new circuit for occ-occ rotation, prod_ij exp[theta (i!j - j!i )]
Author(s): Takashi Tsuchimochi
"""
circuit = QuantumCircuit(n_qubit_system)
ucc_occrot(circuit, noa, nob, nva, nvb, theta1)
return circuit
def set_circuit_GS(n_qubit_system, noa, nob, nva, nvb, theta1):
"""Function:
Construct new circuit for generalized singles, prod_pq exp[theta (p!q - q!p )]
Author(s): Takashi Tsuchimochi
"""
circuit = QuantumCircuit(n_qubit_system)
ucc_Gsingles(circuit, norbs, theta1)
return circuit
def set_circuit_uccsd(n_qubits, noa, nob, nva, nvb, DS, theta_list, ndim1):
"""Function:
Construct new circuit for UCCSD
Author(s): Yuto Mori, Takashi Tsuchimochi
"""
circuit = QuantumCircuit(n_qubits)
if DS:
ucc_singles(circuit, noa, nob, nva, nvb, theta_list, 0)
ucc_doubles(circuit, noa, nob, nva, nvb, theta_list, ndim1)
else:
ucc_doubles(circuit, noa, nob, nva, nvb, theta_list, ndim1)
ucc_singles(circuit, noa, nob, nva, nvb, theta_list, 0)
return circuit
def set_circuit_sauccsd(n_qubits, no, nv, DS, theta_list, ndim1):
"""Function:
Construct new circuit for spin-adapted UCCSD
Author(s): Takashi Tsuchimochi
"""
circuit = QuantumCircuit(n_qubits)
if DS:
ucc_singles_spinfree(circuit, no, nv, theta_list, 0)
ucc_doubles_spinfree1(circuit, no, no, nv, nv, theta_list, ndim1)
else:
ucc_doubles_spinfree1(circuit, no, no, nv, nv, theta_list, ndim1)
ucc_singles_spinfree(circuit, no, nv, theta_list, 0)
return circuit
def set_circuit_sauccd(n_qubits, no, nv, theta_list):
"""Function:
Construct new circuit for spin-adapted UCCD
Author(s): Takashi Tsuchimochi
"""
circuit = QuantumCircuit(n_qubits)
ucc_doubles_spinfree1(circuit, no, no, nv, nv, theta_list, 0)
return circuit
def set_circuit_uccd(n_qubits, noa, nob, nva, nvb, theta_list):
"""Function:
Construct new circuit for UCCD
Author(s): Takashi Tsuchimochi
"""
circuit = QuantumCircuit(n_qubits)
ucc_doubles(circuit, noa, nob, nva, nvb, theta_list)
return circuit
def cost_uccd(Quket, print_level, kappa_list, theta_list, threshold=1e-2):
"""Function:
Energy functional of UCCD
!!!!! Not maintained and thus may fail !!!!!
Author(s): Takashi Tsuchimochi
"""
from .hflib import set_circuit_rhf
t1 = time.time()
rho = Quket.rho
noa = Quket.noa
nob = Quket.nob
nva = Quket.nva
nvb = Quket.nvb
n_qubits = Quket.n_qubits
n_electrons = Quket.n_electrons
ndim = Quket.ndim
state = QuantumState(n_qubits)
set_circuit = set_circuit_rhf(n_qubits, n_electrons)
set_circuit.update_quantum_state(state)
circuit = set_circuit_uccd(n_qubits, noa, nob, nva, nvb, theta_list)
for i in range(rho):
circuit.update_quantum_state(state)
Euccd = Quket.qulacs.Hamiltonian.get_expectation_value(state)
S2 = Quket.qulacs.S2.get_expectation_value(state)
t2 = time.time()
cput = t2 - t1
if print_level > 0:
cf.icyc += 1
prints(f"{cf.icyc:5d}: E[UCCD] = {Euccd:.12f} <S**2> = {S2:17.15f} "
f"CPU Time = {cput:2.5f}")
SaveTheta(ndim, theta_list, cf.tmp)
if print_level > 1:
prints("\n(UCCD state)")
print_state(state)
# Store UCCD wave function
Quket.state = state
return Euccd, S2
#############################
# Spin-free UCC modules #
#############################
def get_baji(b, a, j, i, no):
"""Function:
Search the position for baji in the spin-adapted index
Author(s): Takashi Tsuchimochi
"""
bj = b*no + j
ai = a*no + i
if bj > ai:
baji = bj*(bj+1)//2 + ai
else:
baji = ai*(ai+1)//2 + bj
return baji
def ucc_singles_spinfree(circuit, no, nv, theta_list, ndim2=0):
"""Function:
Wrapper for spin-adapted singles
Author(s): Takashi Tsuchimochi
"""
ia = ndim2
### alpha ###
for a in range(nv):
a2 = 2*(a+no)
for i in range(no):
i2 = 2*i
single_ope(a2, i2, circuit, theta_list[ia])
single_ope(a2+1, i2+1, circuit, theta_list[ia])
ia += 1
def ucc_doubles_spinfree1(circuit, noa, nob, nva, nvb, theta_list, ndim1=0):
"""Function:
Wrapper for spin-adapted doubles
Author(s): Takashi Tsuchimochi
"""
### aa -> aa ###
ijab = ndim1
for b in range(nva):
b2 = 2*(b+noa)
for a in range(b):
a2 = 2*(a+noa)
for j in range(noa):
j2 = 2*j
for i in range(j):
i2 = 2*i
baji = get_baji(b, a, j, i, noa) + ndim1
abji = get_baji(a, b, j, i, noa) + ndim1
theta = theta_list[baji] + theta_list[abji]
double_ope_Pauli(b2, a2, j2, i2, circuit, theta)
ijab += 1
### ab -> ab ###
for b in range(nvb):
b2 = 2*(b+nob) + 1
#for a in range(min(b+1, nva)):
for a in range(nva):
a2 = 2*(a+noa)
for j in range(nob):
j2 = 2*j + 1
#for i in range(j+1):
for i in range(noa):
# b > a, j > i
i2 = 2*i
baji = get_baji(b, a, j, i, noa) + ndim1
theta = theta_list[baji]
if i == j:
if a > b:
theta *= -1
if a == b:
if i > j:
theta *= -1
double_ope_Pauli(max(b2, a2), min(b2, a2),
max(j2, i2), min(j2, i2),
circuit, theta)
ijab += 1
### bb -> bb ###
for b in range(nvb):
b2 = 2*(b+nob) + 1
for a in range(b):
a2 = 2*(a+nob) + 1
for j in range(nob):
j2 = 2*j + 1
for i in range(j):
i2 = 2*i + 1
baji = get_baji(b, a, j, i, noa) + ndim1
abji = get_baji(a, b, j, i, noa) + ndim1
theta = theta_list[baji] + theta_list[abji]
double_ope_Pauli(b2, a2, j2, i2, circuit, theta)
ijab += 1
def cost_uccsdX(Quket, print_level, kappa_list, theta_list, threshold=0.01):
"""Function:
Energy functional of UCCSD (including spin-adapted UCCSD)
Generalized to sequential excited state calculations,
by projecting out UCCSD lower_states
Author(s): Takashi Tsuchimochi
"""
t1 = time.time()
ansatz = Quket.ansatz
noa = Quket.noa
nob = Quket.nob
nva = Quket.nva
nvb = Quket.nvb
rho = Quket.rho
DS = Quket.DS
det = Quket.current_det
n_qubit_system = Quket.n_qubits
n_qubits = Quket.n_qubits
ndim1 = Quket.ndim1
ndim = Quket.ndim
if ansatz == "sauccsd":
state = create_sauccsd_state(n_qubit_system, noa, nva, rho, DS,
theta_list, det, ndim1)
else:
state = create_uccsd_state(n_qubits, rho, DS, theta_list, det, ndim1,
SpinProj=Quket.projection.SpinProj)
Euccsd = Quket.qulacs.Hamiltonian.get_expectation_value(state)
S2 = Quket.qulacs.S2.get_expectation_value(state)
cost = Euccsd
### Project out the states contained in 'lower_states'
cost += orthogonal_constraint(Quket, state)
if cf.constraint_lambda > 0:
S4 = cf.qulacs_s4.get_expectation_value(state)
penalty = cf.constraint_lambda*(S4)
cost += penalty
t2 = time.time()
cpu1 = t2 - t1
if print_level == -1:
prints(f"Initial E[{ansatz}] = {Euccsd:.12f} "
f"<S**2> = {S2:17.15f} "
f"rho = {rho}")
if print_level == 1:
# cf.constraint_lambda *= 1.1
cput = t2 - cf.t_old
cf.t_old = t2
cf.icyc += 1
prints(f"{cf.icyc:5d}: E[{ansatz}] = {Euccsd:.12f} "
f"<S**2> = {S2:17.15f} "
f"CPU Time = {cput:5.2f} ({cpu1:2.2f} / step)")
if cf.constraint_lambda != 0:
prints(f"lambda = {cf.constraint_lambda} "
f"<S**4> = {S4:17.15f} "
f"Penalty = {penalty:2.15f}")
SaveTheta(ndim, theta_list, cf.tmp)
if print_level > 1:
prints(f"Final: E[{ansatz}] = {Euccsd:.12f} "
f"<S**2> = {S2:17.15f} "
f"rho = {rho}")
prints("\n(UCCSD state)")
print_state(state)
if ansatz == "uccsd":
print_amplitudes(theta_list, noa, nob, nva, nvb, threshold)
elif ansatz == "sauccsd":
print_amplitudes_spinfree(theta_list, noa, nva, threshold)
# Store UCCSD wave function
Quket.state = state
return cost, S2
def set_circuit_uccsdX(n_qubits, DS, theta_list, occ_list, vir_list, ndim1):
"""Function
Prepare a Quantum Circuit for a UCC state
from an arbitrary determinant specified by occ_list and vir_list.
Author(s): Yuto Mori
"""
circuit = QuantumCircuit(n_qubits)
if DS:
ucc_singlesX(circuit, theta_list, occ_list, vir_list, 0)
ucc_doublesX(circuit, theta_list, occ_list, vir_list, ndim1)
else:
ucc_doublesX(circuit, theta_list, occ_list, vir_list, ndim1)
ucc_singlesX(circuit, theta_list, occ_list, vir_list, 0)
return circuit
def ucc_singlesX(circuit, theta_list, occ_list, vir_list, ndim2=0):
"""Function
Prepare a Quantum Circuit for the single exictation part of
a Jeziorski-Monkhorst UCC state based on theta_list.
Author(s): Yuto Mori
"""
ia = ndim2
occ_list_a = [i for i in occ_list if i%2 == 0]
occ_list_b = [i for i in occ_list if i%2 == 1]
vir_list_a = [i for i in vir_list if i%2 == 0]
vir_list_b = [i for i in vir_list if i%2 == 1]
### alpha ###
for a in vir_list_a:
for i in occ_list_a:
single_ope_Pauli(a, i, circuit, theta_list[ia])
ia += 1
### beta ###
for a in vir_list_b:
for i in occ_list_b:
single_ope_Pauli(a, i, circuit, theta_list[ia])
ia += 1
def ucc_doublesX(circuit, theta_list, occ_list, vir_list, ndim1=0):
"""Function
Prepare a Quantum Circuit for the double exictation part of
a Jeziorski-Monkhorst UCC state based on theta_list.
Author(s): Yuto Mori
"""
ijab = ndim1
occ_list_a = [i for i in occ_list if i%2 == 0]
occ_list_b = [i for i in occ_list if i%2 == 1]
vir_list_a = [i for i in vir_list if i%2 == 0]
vir_list_b = [i for i in vir_list if i%2 == 1]
### aa -> aa ###
for a, b in itertools.combinations(vir_list_a, 2):
for i, j in itertools.combinations(occ_list_a, 2):
if b > j:
Gdouble_ope(b, a, j, i, circuit, theta_list[ijab])
else:
Gdouble_ope(j, i, b, a, circuit, theta_list[ijab])
ijab += 1
### ab -> ab ###
for b in vir_list_b:
for a in vir_list_a:
for j in occ_list_b:
for i in occ_list_a:
if max(b, a) > max(j, i):
Gdouble_ope(max(b, a), min(b, a), max(j, i), min(j, i),
circuit, theta_list[ijab])
else:
Gdouble_ope(max(j, i), min(j, i), max(b, a), min(b, a),
circuit, theta_list[ijab])
ijab += 1
### bb -> bb ###
for a, b in itertools.combinations(vir_list_b, 2):
for i, j in itertools.combinations(occ_list_b, 2):
if b > j:
Gdouble_ope(b, a, j, i, circuit, theta_list[ijab])
else:
Gdouble_ope(j, i, b, a, circuit, theta_list[ijab])
ijab += 1
def create_uccsd_state(n_qubits, rho, DS, theta_list, det, ndim1,
SpinProj=False):
"""Function
Prepare a UCC state based on theta_list.
The initial determinant 'det' contains the base-10 integer
specifying the bit string for occupied orbitals.
Author(s): Yuto Mori, Takashi Tsuchimochi
"""
from .init import get_occvir_lists
### Form RHF bits
state = QuantumState(n_qubits)
state.set_computational_basis(det)
occ_list, vir_list = get_occvir_lists(n_qubits, det)
theta_list_rho = theta_list/rho
circuit = set_circuit_uccsdX(n_qubits, DS,
theta_list_rho, occ_list, vir_list, ndim1)
for i in range(rho):
circuit.update_quantum_state(state)
if SpinProj:
from .phflib import S2Proj
state = S2Proj(Quket, state)
return state
def create_sauccsd_state(n_qubit_system, noa, nva, rho, DS, theta_list, det,
ndim1):
"""Function
Prepare a UCC state based on theta_list.
The initial determinant 'det' contains the base-10 integer
specifying the bit string for occupied orbitals.
Author(s): Yuto Mori, Takashi Tsuchimochi
"""
### Form RHF bits
state = QuantumState(n_qubit_system)
state.set_computational_basis(det)
theta_list_rho = theta_list/rho
circuit = set_circuit_sauccsd(n_qubit_system, noa, nva, DS, theta_list_rho,
ndim1)
for i in range(rho):
circuit.update_quantum_state(state)
return state
def ucc_singles_g(circuit, no, nv, theta_list, ndim2=0):
"""Function:
Construct circuit for UCC singles in the spin-generalized
prod_ai exp[theta(a!i - i!a)]
Author(s): Takashi Tsuchimochi
"""
ia = ndim2
### alpha ###
for a in range(nv):
for i in range(no):
#single_ope(a2, i2, circuit, theta_list[ia])
single_ope_Pauli(a+no, i, circuit, theta_list[ia])
ia += 1
| 29.357002 | 98 | 0.563995 | 4,781 | 29,768 | 3.343024 | 0.060448 | 0.090096 | 0.045548 | 0.058562 | 0.830758 | 0.79497 | 0.766877 | 0.744854 | 0.708565 | 0.643309 | 0 | 0.031343 | 0.302271 | 29,768 | 1,013 | 99 | 29.385982 | 0.73818 | 0.205254 | 0 | 0.721754 | 0 | 0.001686 | 0.020168 | 0.000969 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055649 | false | 0 | 0.020236 | 0 | 0.096121 | 0.033727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c231dcc136fd5a92a2fc6e797df685132a87a71c | 81,422 | py | Python | meps_db/components/models/dental_visits_models.py | explore-meps/meps_dev | cd98ff6b484799fc0f2f447b3945621bd013bee6 | [
"MIT"
] | null | null | null | meps_db/components/models/dental_visits_models.py | explore-meps/meps_dev | cd98ff6b484799fc0f2f447b3945621bd013bee6 | [
"MIT"
] | null | null | null | meps_db/components/models/dental_visits_models.py | explore-meps/meps_dev | cd98ff6b484799fc0f2f447b3945621bd013bee6 | [
"MIT"
] | null | null | null | from django.db import models
class DentalVisits18(models.Model):
""" Defines the DentalVisits Model for 2018, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits18"
DUID = models.CharField("PANEL # + ENCRYPTED DU IDENTIFIER", max_length=7)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=10)
EVNTIDX = models.CharField("EVENT ID", max_length=16)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=14)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
GENDENT_M18 = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG_M18 = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DNSPCLST_M18 = models.CharField("DENTAL SPECIALIST SEEN", max_length=2)
DENTYPE_M18 = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
PEDDENT_M18 = models.CharField("PEDIATRIC DENTIST SEEN", max_length=2)
EXAMINE_M18 = models.CharField("GENERAL EXAM, CHECKUP OR CONSULTATION", max_length=2)
CLENTETX = models.CharField("EDITED CLENTETH_M18", max_length=2)
CLENTETH_M18 = models.CharField("CLEANING, PROPHYLAXIS, POLISHING OR PERIODONTAL RECALL", max_length=2)
JUSTXRYX = models.CharField("EDITED JUSTXRAY_M18", max_length=2)
JUSTXRAY_M18 = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE_M18 = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANTX = models.CharField("EDITED SEALANT_M18", max_length=2)
SEALANT_M18 = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING_M18", max_length=2)
FILLING_M18 = models.CharField("FILLINGS, INLAYS, CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL_M18", max_length=2)
ROOTCANL_M18 = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG_M18", max_length=2)
GUMSURG_M18 = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM SURGERY", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT_M18", max_length=2)
IMPLANT_M18 = models.CharField("IMPLANTS", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG_M18", max_length=2)
ORALSURG_M18 = models.CharField("EXTRACTION, TOOTH PULLED OR OTH ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES_M18", max_length=2)
BRIDGES_M18 = models.CharField("FIXED OR RELININGREPAIR OF BRIDGESDENTURES, REMOVABLE DENTURES", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT_M18", max_length=2)
ORTHDONT_M18 = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("OTHER SPECIFY DENTAL PROCEDURES EDITED", max_length=25)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF18 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2018", max_length=3)
FFTOT19 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2018", max_length=3)
DVSF18X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR18X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD18X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=8)
DVPV18X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=8)
DVVA18X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=7)
DVTR18X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=7)
DVOF18X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL18X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC18X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=6)
DVOR18X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU18X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT18X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP18X = models.CharField("SUM OF DVSF18X-DVOT18X (IMPUTED)", max_length=8)
DVTC18X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT18F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2018", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2018", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2018", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits18 object"""
return f"{self.DUPERSID}"
class DentalVisits17(models.Model):
""" Defines the DentalVisits Model for 2017, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits17"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DNSPCLST = models.CharField("DENTAL SPECIALIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETX = models.CharField("EDITED CLENTETH", max_length=2)
CLENTETH = models.CharField("CLEANING,PROPHYLAXIS,POLISHINGRECAL VIS", max_length=2)
JUSTXRYX = models.CharField("EDITED JUSTXRAY", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANTX = models.CharField("EDITED SEALANT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS, INLAYS, CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("EXTRACTION,TOOTH PULLEDOTH ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES,DENTURES,RELINREPAIR BRIDGDENT", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("OTHER SPECIFY DENTAL PROCEDURES EDITED", max_length=25)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF17 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2017", max_length=2)
FFTOT18 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2017", max_length=2)
DVSF17X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR17X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD17X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV17X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=7)
DVVA17X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=7)
DVTR17X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=7)
DVOF17X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=6)
DVSL17X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC17X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=6)
DVOR17X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU17X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT17X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP17X = models.CharField("SUM OF DVSF17X-DVOT17X (IMPUTED)", max_length=8)
DVTC17X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT17F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2017", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2017", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2017", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits17 object"""
return f"{self.DUPERSID}"
class DentalVisits16(models.Model):
""" Defines the DentalVisits Model for 2016, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits16"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETX = models.CharField("EDITED CLENTETH", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRYX = models.CharField("EDITED JUSTXRAY", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVISX = models.CharField("EDITED RECLVIS", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("OTHER SPECIFY DENTAL PROCEDURES EDITED", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF16 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2016", max_length=2)
FFTOT17 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2016", max_length=2)
DVSF16X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR16X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD16X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV16X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=8)
DVVA16X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=7)
DVTR16X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=8)
DVOF16X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL16X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=6)
DVWC16X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=6)
DVOR16X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU16X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT16X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP16X = models.CharField("SUM OF DVSF16X-DVOT16X (IMPUTED)", max_length=8)
DVTC16X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT16F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2016", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2016", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2016", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits16 object"""
return f"{self.DUPERSID}"
class DentalVisits15(models.Model):
""" Defines the DentalVisits Model for 2015, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits15"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRYX = models.CharField("EDITED JUSTXRAY", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANTX = models.CharField("EDITED SEALANT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVISX = models.CharField("EDITED RECLVIS", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("OTHER SPECIFY DENTAL PROCEDURES EDITED", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF15 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2015", max_length=2)
FFTOT16 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2015", max_length=2)
DVSF15X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR15X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD15X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV15X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=8)
DVVA15X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=7)
DVTR15X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=7)
DVOF15X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL15X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=6)
DVWC15X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=6)
DVOR15X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU15X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT15X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP15X = models.CharField("SUM OF DVSF15X-DVOT15X (IMPUTED)", max_length=8)
DVTC15X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT15F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2015", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2015", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2015", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits15 object"""
return f"{self.DUPERSID}"
class DentalVisits14(models.Model):
""" Defines the DentalVisits Model for 2014, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits14"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETX = models.CharField("EDITED CLENTETH", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVISX = models.CharField("EDITED RECLVIS", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIRX = models.CharField("EDITED REPAIR", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("EDITED DENTOTHR", max_length=25)
DENTOTHR = models.CharField("OTHER SPECIFIED DENTAL PROCEDURES", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF14 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2014", max_length=2)
FFTOT15 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2014", max_length=2)
DVSF14X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR14X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD14X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV14X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=8)
DVVA14X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=7)
DVTR14X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=7)
DVOF14X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL14X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC14X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=7)
DVOR14X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU14X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT14X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP14X = models.CharField("SUM OF DVSF14X-DVOT14X (IMPUTED)", max_length=8)
DVTC14X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT14F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2014", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2014", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2014", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits14 object"""
return f"{self.DUPERSID}"
class DentalVisits13(models.Model):
""" Defines the DentalVisits Model for 2013, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits13"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETX = models.CharField("EDITED CLENTETH", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRYX = models.CharField("EDITED JUSTXRAY", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANTX = models.CharField("EDITED SEALANT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVISX = models.CharField("EDITED RECLVIS", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIRX = models.CharField("EDITED REPAIR", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("EDITED DENTOTHR", max_length=25)
DENTOTHR = models.CharField("OTHER SPECIFIED DENTAL PROCEDURES", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF13 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2013", max_length=2)
FFTOT14 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2013", max_length=2)
DVSF13X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR13X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD13X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV13X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=8)
DVVA13X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=7)
DVTR13X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=7)
DVOF13X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL13X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC13X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=6)
DVOR13X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU13X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT13X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP13X = models.CharField("SUM OF DVSF13X-DVOT13X (IMPUTED)", max_length=8)
DVTC13X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT13F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2013", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2013", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2013", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits13 object"""
return f"{self.DUPERSID}"
class DentalVisits12(models.Model):
""" Defines the DentalVisits Model for 2012, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits12"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
DVDATEDD = models.CharField("EVENT DATE - DAY", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRYX = models.CharField("EDITED JUSTXRAY", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("EDITED DENTOTHR", max_length=25)
DENTOTHR = models.CharField("OTHER SPECIFIED DENTAL PROCEDURES", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF12 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2012", max_length=2)
FFTOT13 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2012", max_length=2)
DVSF12X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR12X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD12X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV12X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=8)
DVVA12X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=7)
DVTR12X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=7)
DVOF12X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL12X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC12X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=4)
DVOR12X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU12X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT12X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP12X = models.CharField("SUM OF DVSF12X-DVOT12X (IMPUTED)", max_length=8)
DVTC12X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT12F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2012", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2012", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2012", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits12 object"""
return f"{self.DUPERSID}"
class DentalVisits11(models.Model):
""" Defines the DentalVisits Model for 2011, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits11"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
DVDATEDD = models.CharField("EVENT DATE - DAY", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETX = models.CharField("EDITED CLENTETH", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVISX = models.CharField("EDITED RECLVIS", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
REPAIRX = models.CharField("EDITED REPAIR", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("EDITED DENTOTHR", max_length=25)
DENTOTHR = models.CharField("OTHER SPECIFIED DENTAL PROCEDURES", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF11 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2011", max_length=2)
FFTOT12 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2011", max_length=2)
DVSF11X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR11X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD11X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV11X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=7)
DVVA11X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=6)
DVTR11X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=7)
DVOF11X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL11X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC11X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=6)
DVOR11X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU11X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT11X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP11X = models.CharField("SUM OF DVSF11X-DVOT11X (IMPUTED)", max_length=8)
DVTC11X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT11F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2011", max_length=13)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2011", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2011", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits11 object"""
return f"{self.DUPERSID}"
class DentalVisits10(models.Model):
""" Defines the DentalVisits Model for 2010, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits10"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
DVDATEDD = models.CharField("EVENT DATE - DAY", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
REPAIRX = models.CharField("EDITED REPAIR", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("EDITED DENTOTHR", max_length=25)
DENTOTHR = models.CharField("OTHER SPECIFIED DENTAL PROCEDURES", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF10 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2010", max_length=2)
FFTOT11 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2010", max_length=2)
DVSF10X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR10X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD10X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV10X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=7)
DVVA10X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=7)
DVTR10X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=7)
DVOF10X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL10X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC10X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=7)
DVOR10X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU10X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT10X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP10X = models.CharField("SUM OF DVSF10X-DVOT10X (IMPUTED)", max_length=8)
DVTC10X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT10F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2010", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2010", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2010", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits10 object"""
return f"{self.DUPERSID}"
class DentalVisits09(models.Model):
""" Defines the DentalVisits Model for 2009, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits09"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
DVDATEDD = models.CharField("EVENT DATE - DAY", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETX = models.CharField("EDITED CLENTETH", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
JUSTXRYX = models.CharField("EDITED JUSTXRAY", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
REPAIRX = models.CharField("EDITED REPAIR", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("EDITED DENTOTHR", max_length=25)
DENTOTHR = models.CharField("OTHER SPECIFIED DENTAL PROCEDURES", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF09 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2009", max_length=2)
FFTOT10 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2009", max_length=2)
DVSF09X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR09X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD09X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV09X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=8)
DVVA09X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=7)
DVTR09X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=7)
DVOF09X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL09X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC09X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=7)
DVOR09X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU09X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT09X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP09X = models.CharField("SUM OF DVSF09X-DVOT09X (IMPUTED)", max_length=8)
DVTC09X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT09F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2009", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2009", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2009", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits09 object"""
return f"{self.DUPERSID}"
class DentalVisits08(models.Model):
""" Defines the DentalVisits Model for 2008, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits08"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
DVDATEDD = models.CharField("EVENT DATE - DAY", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETX = models.CharField("EDITED CLENTETH", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVISX = models.CharField("EDITED RECLVIS", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("EDITED DENTOTHR", max_length=25)
DENTOTHR = models.CharField("OTHER SPECIFIED DENTAL PROCEDURES", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF08 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2008", max_length=2)
FFTOT09 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2008", max_length=2)
DVSF08X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR08X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD08X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV08X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=8)
DVVA08X = models.CharField("AMOUNT PAID, VETERANSCHAMPVA(IMPUTED)", max_length=7)
DVTR08X = models.CharField("AMOUNT PAID, TRICARE(IMPUTED)", max_length=7)
DVOF08X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL08X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC08X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=6)
DVOR08X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU08X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=6)
DVOT08X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP08X = models.CharField("SUM OF DVSF08X-DVOT08X (IMPUTED)", max_length=8)
DVTC08X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT08F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2008", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2008", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2008", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits08 object"""
return f"{self.DUPERSID}"
class DentalVisits07(models.Model):
""" Defines the DentalVisits Model for 2007, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits07"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
DVDATEDD = models.CharField("EVENT DATE - DAY", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("EDITED DENTOTHR", max_length=25)
DENTOTHR = models.CharField("OTHER SPECIFIED DENTAL PROCEDURES", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF07 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2007", max_length=2)
FFTOT08 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2007", max_length=2)
DVSF07X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=8)
DVMR07X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD07X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV07X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=7)
DVVA07X = models.CharField("AMOUNT PAID, VETERANS (IMPUTED)", max_length=7)
DVTR07X = models.CharField("AMOUNT PAID, TRICARECHAMPVA (IMPUTED)", max_length=7)
DVOF07X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=6)
DVSL07X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC07X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=6)
DVOR07X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU07X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=6)
DVOT07X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP07X = models.CharField("SUM OF DVSF07X-DVOT07X (IMPUTED)", max_length=8)
DVTC07X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT07F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2007", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2007", max_length=4)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2007", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits07 object"""
return f"{self.DUPERSID}"
class DentalVisits06(models.Model):
""" Defines the DentalVisits Model for 2006, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits06"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
DVDATEDD = models.CharField("EVENT DATE - DAY", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETX = models.CharField("EDITED CLENTETH", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVISX = models.CharField("EDITED RECLVIS", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("EDITED DENTOTHR", max_length=25)
DENTOTHR = models.CharField("OTHER SPECIFIED DENTAL PROCEDURES", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF06 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2006", max_length=2)
FFTOT07 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2006", max_length=2)
DVSF06X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=7)
DVMR06X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD06X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV06X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=7)
DVVA06X = models.CharField("AMOUNT PAID, VETERANS (IMPUTED)", max_length=7)
DVTR06X = models.CharField("AMOUNT PAID, TRICARECHAMPVA (IMPUTED)", max_length=7)
DVOF06X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL06X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC06X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=7)
DVOR06X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU06X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=7)
DVOT06X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP06X = models.CharField("SUM OF DVSF06X-DVOT06X (IMPUTED)", max_length=7)
DVTC06X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=7)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT06F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2006", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2006", max_length=3)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2006", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits06 object"""
return f"{self.DUPERSID}"
class DentalVisits05(models.Model):
""" Defines the DentalVisits Model for 2005, derived from the model class. """
# Metadata
class Meta:
""" Set parameters for admin app"""
ordering = ["DUPERSID"]
verbose_name_plural = "DentalVisits05"
DUID = models.CharField("DWELLING UNIT ID", max_length=5)
PID = models.CharField("PERSON NUMBER", max_length=3)
DUPERSID = models.CharField("PERSON ID (DUID + PID)", max_length=8)
EVNTIDX = models.CharField("EVENT ID", max_length=12)
EVENTRN = models.CharField("EVENT ROUND NUMBER", max_length=1)
FFEEIDX = models.CharField("FLAT FEE ID", max_length=12)
PANEL = models.CharField("PANEL NUMBER", max_length=2)
DVDATEYR = models.CharField("EVENT DATE - YEAR", max_length=4)
DVDATEMM = models.CharField("EVENT DATE - MONTH", max_length=2)
DVDATEDD = models.CharField("EVENT DATE - DAY", max_length=2)
GENDENT = models.CharField("GENERAL DENTIST SEEN", max_length=2)
DENTHYG = models.CharField("DENTAL HYGIENIST SEEN", max_length=2)
DENTTECH = models.CharField("DENTAL TECHNICIAN SEEN", max_length=2)
DENTSURG = models.CharField("DENTAL SURGEON SEEN", max_length=2)
ORTHODNT = models.CharField("ORTHODONTIST SEEN", max_length=2)
ENDODENT = models.CharField("ENDODONTIST SEEN", max_length=2)
PERIODNT = models.CharField("PERIODONTIST SEEN", max_length=2)
DENTYPE = models.CharField("OTHER DENTAL SPECIALIST SEEN", max_length=2)
EXAMINE = models.CharField("GENERAL EXAM OR CONSULTATION", max_length=2)
CLENTETX = models.CharField("EDITED CLENTETH", max_length=2)
CLENTETH = models.CharField("CLEANING, PROPHYLAXIS, OR POLISHING", max_length=2)
JUSTXRYX = models.CharField("EDITED JUSTXRAY", max_length=2)
JUSTXRAY = models.CharField("X-RAYS, RADIOGRAPHS OR BITEWINGS", max_length=2)
FLUORIDE = models.CharField("FLUORIDE TREATMENT", max_length=2)
SEALANTX = models.CharField("EDITED SEALANT", max_length=2)
SEALANT = models.CharField("SEALANT APPLICATION", max_length=2)
FILLINGX = models.CharField("EDITED FILLING", max_length=2)
FILLING = models.CharField("FILLINGS", max_length=2)
INLAY = models.CharField("INLAYS", max_length=2)
CROWNSX = models.CharField("EDITED CROWNS", max_length=2)
CROWNS = models.CharField("CROWNS OR CAPS", max_length=2)
ROOTCANX = models.CharField("EDITED ROOTCANL", max_length=2)
ROOTCANL = models.CharField("ROOT CANAL", max_length=2)
GUMSURGX = models.CharField("EDITED GUMSURG", max_length=2)
GUMSURG = models.CharField("PERIODONTAL SCALING, ROOT PLANING OR GUM", max_length=2)
RECLVISX = models.CharField("EDITED RECLVIS", max_length=2)
RECLVIS = models.CharField("PERIODONTAL RECALL VISIT", max_length=2)
EXTRACT = models.CharField("EXTRACTION, TOOTH PULLED", max_length=2)
IMPLANTX = models.CharField("EDITED IMPLANT", max_length=2)
IMPLANT = models.CharField("IMPLANTS", max_length=2)
ABSCESS = models.CharField("ABSCESS OR INFECTION TREATMENT", max_length=2)
ORALSURX = models.CharField("EDITED ORALSURG", max_length=2)
ORALSURG = models.CharField("ORAL SURGERY", max_length=2)
BRIDGESX = models.CharField("EDITED BRIDGES", max_length=2)
BRIDGES = models.CharField("BRIDGES", max_length=2)
DENTUREX = models.CharField("EDITED DENTURES", max_length=2)
DENTURES = models.CharField("DENTURES OR PARTIAL DENTURES", max_length=2)
REPAIR = models.CharField("REPAIR OF BRIDGESDENTURES OR RELINING", max_length=2)
ORTHDONX = models.CharField("EDITED ORTHDONT", max_length=2)
ORTHDONT = models.CharField("ORTHODONTIA, BRACES OR RETAINERS", max_length=2)
WHITENX = models.CharField("EDITED WHITEN", max_length=2)
WHITEN = models.CharField("BONDING, WHITENING, OR BLEACHING", max_length=2)
TMDTMJ = models.CharField("TREATMENT FOR TMD OR TMJ", max_length=2)
DENTPROX = models.CharField("EDITED DENTPROC", max_length=2)
DENTPROC = models.CharField("OTHER DENTAL PROCEDURES", max_length=2)
DENTOTHX = models.CharField("EDITED DENTOTHR", max_length=25)
DENTOTHR = models.CharField("OTHER SPECIFIED DENTAL PROCEDURES", max_length=25)
DENTMED = models.CharField("RECEIVED MEDICINE INCLUDING FREE SAMPLE", max_length=2)
FFDVTYPE = models.CharField("FLAT FEE BUNDLE", max_length=2)
FFBEF05 = models.CharField("TOTAL # OF VISITS IN FF BEFORE 2005", max_length=2)
FFTOT06 = models.CharField("TOTAL # OF VISITS IN FF AFTER 2005", max_length=2)
DVSF05X = models.CharField("AMOUNT PAID, FAMILY (IMPUTED)", max_length=7)
DVMR05X = models.CharField("AMOUNT PAID, MEDICARE (IMPUTED)", max_length=7)
DVMD05X = models.CharField("AMOUNT PAID, MEDICAID (IMPUTED)", max_length=7)
DVPV05X = models.CharField("AMOUNT PAID, PRIVATE INSURANCE (IMPUTED)", max_length=7)
DVVA05X = models.CharField("AMOUNT PAID, VETERANS (IMPUTED)", max_length=7)
DVTR05X = models.CharField("HC-AMTPD, TRICARECHAMPVA (IMPUTED)", max_length=7)
DVOF05X = models.CharField("AMOUNT PAID, OTHER FEDERAL (IMPUTED)", max_length=7)
DVSL05X = models.CharField("AMOUNT PAID, STATE & LOCAL GOV (IMPUTED)", max_length=7)
DVWC05X = models.CharField("AMOUNT PAID, WORKERS COMP (IMPUTED)", max_length=7)
DVOR05X = models.CharField("AMOUNT PAID, OTHER PRIVATE (IMPUTED)", max_length=7)
DVOU05X = models.CharField("AMOUNT PAID, OTHER PUBLIC (IMPUTED)", max_length=6)
DVOT05X = models.CharField("AMOUNT PAID, OTHER INSURANCE (IMPUTED)", max_length=7)
DVXP05X = models.CharField("SUM OF DVSF05X-DVOT05X (IMPUTED)", max_length=7)
DVTC05X = models.CharField("HHLD REPORTED TOTAL CHARGE (IMPUTED)", max_length=8)
IMPFLAG = models.CharField("IMPUTATION STATUS", max_length=1)
PERWT05F = models.CharField("EXPENDITURE FILE PERSON WEIGHT, 2005", max_length=12)
VARSTR = models.CharField("VARIANCE ESTIMATION STRATUM, 2005", max_length=3)
VARPSU = models.CharField("VARIANCE ESTIMATION PSU, 2005", max_length=1)
# Methods
def __str__(self):
"""String for representing a DentalVisits05 object"""
return f"{self.DUPERSID}"
| 63.462198 | 114 | 0.727789 | 10,371 | 81,422 | 5.602546 | 0.049368 | 0.269259 | 0.114794 | 0.071854 | 0.9267 | 0.924635 | 0.907012 | 0.896479 | 0.871696 | 0.782855 | 0 | 0.030634 | 0.151654 | 81,422 | 1,282 | 115 | 63.5117 | 0.810551 | 0.028543 | 0 | 0.70656 | 0 | 0 | 0.313299 | 0.004148 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012411 | false | 0 | 0.000887 | 0 | 0.975177 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 9 |
c23d76bddad64408c20ea950b78cad418f8ab4c0 | 4,433 | py | Python | tests/test_simplified_bin_rows.py | epiviz/parser | 255dc6409db3f55b6f967df079ada469862cd02c | [
"MIT"
] | 4 | 2018-09-14T19:00:16.000Z | 2020-04-08T07:58:34.000Z | tests/test_simplified_bin_rows.py | epiviz/parser | 255dc6409db3f55b6f967df079ada469862cd02c | [
"MIT"
] | 6 | 2019-04-27T21:08:49.000Z | 2021-12-21T01:03:11.000Z | tests/test_simplified_bin_rows.py | epiviz/epivizFileParser | bba301db40458b6666653c77a446db8778ee07f8 | [
"MIT"
] | 2 | 2021-01-11T17:09:24.000Z | 2021-01-28T16:17:11.000Z | import pytest
import os
import pandas as pd
import json
import statistics
from epivizFileParser import BigWig
pytestmark = pytest.mark.skip
@pytest.fixture(scope='module')
def bb():
return BigWig("https://obj.umiacs.umd.edu/bigwig-files/39031.bigwig")
@pytest.mark.skip(reason="skip")
def test_case_1(bb):
data = []
data.append(['chr1', 1, 10, 5])
data.append(['chr1', 10, 100, 9])
data.append(['chr1', 100, 200, 20])
data.append(['chr1', 200, 210, 9])
result = bb.simplify_data(data=data, result_type="mean")
assert len(result) == 1
assert result[0]['start'] == 1 and result[0]['end'] == 210 and round(
result[0]['score'], 3) == 10.750
result = bb.simplify_data(data=data, result_type="weighted_mean")
assert len(result) == 1
assert result[0]['start'] == 1 and result[0]['end'] == 210 and round(
result[0]['score'], 3) == 14.229
@pytest.mark.skip(reason="skip")
def test_case_2(bb):
data = []
data.append(['chr1', 1, 10, 5])
data.append(['chr1', 10, 100, 9])
data.append(['chr1', 120, 200, 20])
data.append(['chr1', 200, 210, 9])
result = bb.simplify_data(data=data, result_type="mean")
assert len(result) == 2
assert result[0]['start'] == 1 and result[0]['end'] == 100 and round(
result[0]['score'], 3) == 7.000
assert result[1]['start'] == 120 and result[1]['end'] == 210 and round(
result[1]['score'], 3) == 14.500
result = bb.simplify_data(data=data, result_type="weighted_mean")
assert len(result) == 2
assert result[0]['start'] == 1 and result[0]['end'] == 100 and round(
result[0]['score'], 3) == 8.690
assert result[1]['start'] == 120 and result[1]['end'] == 210 and round(
result[1]['score'], 3) == 18.890
@pytest.mark.skip(reason="skip")
def test_case_3(bb):
data = []
data.append(['chr1', 1, 10, 5])
result = bb.simplify_data(data=data, result_type="mean")
assert len(result) == 1
assert result[0]['start'] == 1 and result[0]['end'] == 10 and round(
result[0]['score'], 3) == 5.000
result = bb.simplify_data(data=data, result_type="weighted_mean")
assert len(result) == 1
assert result[0]['start'] == 1 and result[0]['end'] == 10 and round(
result[0]['score'], 3) == 5.000
def test_case_4(bb):
data = []
data.append(['chr1', 1, 10, 5])
data.append(['chr1', 11, 100, 9])
data.append(['chr1', 120, 200, 20])
data.append(['chr1', 201, 210, 9])
result = bb.simplify_data(data=data, result_type="mean")
assert len(result) == 4
assert result[0]['start'] == 1 and result[0]['end'] == 10 and round(
result[0]['score'], 3) == 5.000
assert result[1]['start'] == 11 and result[1]['end'] == 100 and round(
result[1]['score'], 3) == 9.000
assert result[2]['start'] == 120 and result[2]['end'] == 200 and round(
result[2]['score'], 3) == 20.000
assert result[3]['start'] == 201 and result[3]['end'] == 210 and round(
result[3]['score'], 3) == 9.000
result = bb.simplify_data(data=data, result_type="weighted_mean")
assert len(result) == 4
assert result[0]['start'] == 1 and result[0]['end'] == 10 and round(
result[0]['score'], 3) == 5.000
assert result[1]['start'] == 11 and result[1]['end'] == 100 and round(
result[1]['score'], 3) == 9.000
assert result[2]['start'] == 120 and result[2]['end'] == 200 and round(
result[2]['score'], 3) == 20.000
assert result[3]['start'] == 201 and result[3]['end'] == 210 and round(
result[3]['score'], 3) == 9.000
def test_case_5(bb):
data = []
data.append(['chr1', 1, 10, 5])
data.append(['chr1', 10, 100, 9])
data.append(['chr1', 100, 200, 20])
data.append(['chr1', 201, 210, 9])
result = bb.simplify_data(data=data, result_type="mean")
assert len(result) == 2
assert result[0]['start'] == 1 and result[0]['end'] == 200 and round(
result[0]['score'], 3) == 11.333
assert result[1]['start'] == 201 and result[1]['end'] == 210 and round(
result[1]['score'], 3) == 9.000
result = bb.simplify_data(data=data, result_type="weighted_mean")
assert len(result) == 2
assert result[0]['start'] == 1 and result[0]['end'] == 200 and round(
result[0]['score'], 3) == 14.445
assert result[1]['start'] == 201 and result[1]['end'] == 210 and round(
result[1]['score'], 3) == 9.000
| 37.252101 | 75 | 0.58245 | 679 | 4,433 | 3.751105 | 0.106038 | 0.08245 | 0.109933 | 0.078524 | 0.897527 | 0.896349 | 0.896349 | 0.894778 | 0.84413 | 0.84413 | 0 | 0.114391 | 0.205279 | 4,433 | 118 | 76 | 37.567797 | 0.608572 | 0 | 0 | 0.76 | 0 | 0 | 0.108956 | 0 | 0 | 0 | 0 | 0 | 0.3 | 1 | 0.06 | false | 0 | 0.06 | 0.01 | 0.13 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
dfc74c5b19e028e56f70c9c0ca7b5b538fe8b5d0 | 164 | py | Python | curris/test/test_html_encode.py | a1trl9/curris | f9b55a7a2a8864882f297a4a324ccff182176417 | [
"MIT"
] | null | null | null | curris/test/test_html_encode.py | a1trl9/curris | f9b55a7a2a8864882f297a4a324ccff182176417 | [
"MIT"
] | null | null | null | curris/test/test_html_encode.py | a1trl9/curris | f9b55a7a2a8864882f297a4a324ccff182176417 | [
"MIT"
] | null | null | null | from curris.test.base import compare_html
def test_html_encode():
compare_html('curris/test/resource/html_encode.md', 'curris/test/resource/html_encode.html')
| 32.8 | 96 | 0.79878 | 25 | 164 | 5 | 0.44 | 0.24 | 0.288 | 0.352 | 0.448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.079268 | 164 | 4 | 97 | 41 | 0.827815 | 0 | 0 | 0 | 0 | 0 | 0.439024 | 0.439024 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 9 |
dfcee065096ae0a5ba46cdeac2db1614a4cff98e | 148 | py | Python | IceGame/h5game/models/__init__.py | onebitxy/djangoing | 5061516b0f5bce1794488680ca616f512ae3ad42 | [
"MIT"
] | null | null | null | IceGame/h5game/models/__init__.py | onebitxy/djangoing | 5061516b0f5bce1794488680ca616f512ae3ad42 | [
"MIT"
] | null | null | null | IceGame/h5game/models/__init__.py | onebitxy/djangoing | 5061516b0f5bce1794488680ca616f512ae3ad42 | [
"MIT"
] | null | null | null | #!/usr/bin/python3.7
# -*- coding: utf-8 -*-
from .frame_m import *
from .project_m import *
from .game_tpl_m import *
from .game_skin_m import * | 21.142857 | 26 | 0.682432 | 25 | 148 | 3.8 | 0.6 | 0.294737 | 0.347368 | 0.315789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024194 | 0.162162 | 148 | 7 | 26 | 21.142857 | 0.741935 | 0.277027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
5f09554865d136c7414b47061ee73d9f53c70f23 | 213 | py | Python | SZR/apps/groups/admin.py | Alek96/SZR | 6c736cded0c6de88b6e4fc5a207273ec1024365b | [
"MIT"
] | 1 | 2019-04-04T17:02:24.000Z | 2019-04-04T17:02:24.000Z | SZR/apps/groups/admin.py | Alek96/SZR | 6c736cded0c6de88b6e4fc5a207273ec1024365b | [
"MIT"
] | 1 | 2019-03-30T13:32:14.000Z | 2019-03-30T13:32:14.000Z | SZR/apps/groups/admin.py | Alek96/SZR | 6c736cded0c6de88b6e4fc5a207273ec1024365b | [
"MIT"
] | null | null | null | from django.contrib import admin
from . import models
admin.site.register(models.GitlabGroup)
admin.site.register(models.AddSubgroup)
admin.site.register(models.AddProject)
admin.site.register(models.AddMember)
| 23.666667 | 39 | 0.830986 | 28 | 213 | 6.321429 | 0.428571 | 0.20339 | 0.384181 | 0.519774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065728 | 213 | 8 | 40 | 26.625 | 0.889447 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
5f0e8933c45cc76b98f5c2224bbf526b4a3e9388 | 3,237 | py | Python | Source Code/pervious_versions/ICP/figureplot.py | sfernando-BAEN/ELIXIR-A | 568cba6623d4e953afa18551fcf589d56f092729 | [
"Apache-2.0"
] | null | null | null | Source Code/pervious_versions/ICP/figureplot.py | sfernando-BAEN/ELIXIR-A | 568cba6623d4e953afa18551fcf589d56f092729 | [
"Apache-2.0"
] | null | null | null | Source Code/pervious_versions/ICP/figureplot.py | sfernando-BAEN/ELIXIR-A | 568cba6623d4e953afa18551fcf589d56f092729 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pdbreader
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def plot_icp2(pointA,pointB,filename):
plt.figure()
ax2 = plt.subplot(111, projection='3d') # create a 3D figure
ax2.scatter(pointA[:,0],pointA[:,1],pointA[:,2], c='r',label='O104') # make the points
ax2.scatter(pointB[:,0],pointB[:,1],pointB[:,2], c='y',label='PBP')
# ax2.scatter(pointC[:,0],pointC[:,1],pointC[:,2], c='g',label='ICP')
ax2.set_zlabel('Z') # coor label
ax2.set_ylabel('Y')
ax2.set_xlabel('X')
ax2.legend()
plt.savefig(filename+'.png')
# plt.figure()
# ax = plt.subplot(111, projection='3d') # create a 3D figure
#
# ax.scatter(pointA[:,0],pointA[:,1],pointA[:,2], c='y',label='O104') # make the points
# # ax.scatter(pointB[:,0],pointB[:,1],pointB[:,2], c='r',label='PBP')
# ax.scatter(pointC[:,0],pointC[:,1],pointC[:,2], c='b',label='ICP')
#
# ax.set_zlabel('Z') # coor label
# ax.set_ylabel('Y')
# ax.set_xlabel('X'+' Number of iteations:'+str(pointC[-1,-1]))
# ax.legend()
plt.show()
plt.close()
def plot_icp(pointA,pointB,filename):
plt.figure()
ax2 = plt.subplot(111, projection='3d') # create a 3D figure
ax2.scatter(pointA[:,0],pointA[:,1],pointA[:,2], c='r',label='O104') # make the points
ax2.scatter(pointB[:,0],pointB[:,1],pointB[:,2], c='g',label='Optimized PBP')
# ax2.scatter(pointC[:,0],pointC[:,1],pointC[:,2], c='g',label='ICP')
ax2.set_zlabel('Z') # coor label
ax2.set_ylabel('Y')
ax2.set_xlabel('X')
ax2.legend()
plt.savefig(filename+'.png')
# plt.figure()
# ax = plt.subplot(111, projection='3d') # create a 3D figure
#
# ax.scatter(pointA[:,0],pointA[:,1],pointA[:,2], c='y',label='O104') # make the points
# # ax.scatter(pointB[:,0],pointB[:,1],pointB[:,2], c='r',label='PBP')
# ax.scatter(pointC[:,0],pointC[:,1],pointC[:,2], c='b',label='ICP')
#
# ax.set_zlabel('Z') # coor label
# ax.set_ylabel('Y')
# ax.set_xlabel('X'+' Number of iteations:'+str(pointC[-1,-1]))
# ax.legend()
plt.show()
plt.close()
def plot_icp3(pointA,pointB,pointC,filename):
plt.figure()
ax2 = plt.subplot(111, projection='3d') # create a 3D figure
ax2.scatter(pointA[:,0],pointA[:,1],pointA[:,2], c='r',label='O104') # make the points
ax2.scatter(pointB[:,0],pointB[:,1],pointB[:,2], c='g',label='Optimiezd PBP')
ax2.scatter(pointC[:, 0], pointC[:, 1], pointC[:, 2], c='y', label='PBP')
ax2.set_zlabel('Z') # coor label
ax2.set_ylabel('Y')
ax2.set_xlabel('X')
ax2.legend()
plt.savefig(filename+'_3points.png')
# plt.figure()
# ax = plt.subplot(111, projection='3d') # create a 3D figure
#
# ax.scatter(pointA[:,0],pointA[:,1],pointA[:,2], c='y',label='O104') # make the points
# # ax.scatter(pointB[:,0],pointB[:,1],pointB[:,2], c='r',label='PBP')
# ax.scatter(pointC[:,0],pointC[:,1],pointC[:,2], c='b',label='ICP')
#
# ax.set_zlabel('Z') # coor label
# ax.set_ylabel('Y')
# ax.set_xlabel('X'+' Number of iteations:'+str(pointC[-1,-1]))
# ax.legend()
plt.show()
plt.close() | 34.43617 | 92 | 0.584183 | 489 | 3,237 | 3.820041 | 0.143149 | 0.019272 | 0.041756 | 0.073876 | 0.913276 | 0.913276 | 0.905246 | 0.905246 | 0.905246 | 0.905246 | 0 | 0.051531 | 0.172691 | 3,237 | 94 | 93 | 34.43617 | 0.646004 | 0.485944 | 0 | 0.725 | 0 | 0 | 0.053516 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.075 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a02cc00dd61757e9078d1125308dc09438e94937 | 142 | py | Python | hikingcv/cli/messages.py | Hammond95/HikingCV | 6701c57546b1d31689055a301d1764a3816165bd | [
"MIT"
] | null | null | null | hikingcv/cli/messages.py | Hammond95/HikingCV | 6701c57546b1d31689055a301d1764a3816165bd | [
"MIT"
] | null | null | null | hikingcv/cli/messages.py | Hammond95/HikingCV | 6701c57546b1d31689055a301d1764a3816165bd | [
"MIT"
] | 1 | 2020-10-29T16:51:32.000Z | 2020-10-29T16:51:32.000Z | MAP__PATH_SYNTAX = """Path syntax: {path}?sep={separator}&label={col_name}&lat={col_name}&lng={col_name}&desc_columns={coln},{colm},{colk}"""
| 71 | 141 | 0.711268 | 22 | 142 | 4.272727 | 0.681818 | 0.223404 | 0.297872 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035211 | 142 | 1 | 142 | 142 | 0.686131 | 0 | 0 | 0 | 0 | 1 | 0.816901 | 0.725352 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
a03a6dcb3a2fd28e6f27fe2b2d67a8782b7f9d1e | 20,173 | py | Python | Testing/Python/EventCollectionTest.py | mitkof6/BTKCore | d4c03aa9e354be16265d0efe0815c09b35abc642 | [
"Barr",
"Unlicense"
] | 61 | 2015-04-21T20:40:37.000Z | 2022-03-25T03:35:03.000Z | Testing/Python/EventCollectionTest.py | mitkof6/BTKCore | d4c03aa9e354be16265d0efe0815c09b35abc642 | [
"Barr",
"Unlicense"
] | 17 | 2015-06-23T20:51:57.000Z | 2020-08-17T17:08:57.000Z | Testing/Python/EventCollectionTest.py | mitkof6/BTKCore | d4c03aa9e354be16265d0efe0815c09b35abc642 | [
"Barr",
"Unlicense"
] | 56 | 2015-05-11T11:04:35.000Z | 2022-01-15T20:37:04.000Z | import btk
import unittest
class EventCollectionTest(unittest.TestCase):
def test_default_ctor(self):
ec = btk.btkEventCollection()
self.assertEqual(ec.GetItemNumber(), 0)
def test_item_number(self):
ec = btk.btkEventCollection()
ec.SetItemNumber(5)
self.assertEqual(ec.GetItemNumber(), 5)
def test_insert(self):
ec = btk.btkEventCollection()
ec.InsertItem(btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
self.assertEqual(ec.GetItemNumber(), 1)
e1 = ec.GetItem(0)
self.assertEqual(e1.GetLabel(), 'FOO')
self.assertEqual(e1.GetTime(), 1.52)
self.assertEqual(e1.GetFrame(), -1)
self.assertEqual(e1.GetContext(), 'Right')
self.assertEqual(e1.GetDetectionFlags(), btk.btkEvent.Manual)
self.assertEqual(e1.GetSubject(), 'Bar')
self.assertEqual(e1.GetDescription(), '')
self.assertEqual(e1.GetId(), 1)
e2 = btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2)
ec.InsertItem(e2)
e2_ = ec.GetItem(1);
self.assertEqual(e2.GetLabel(), e2_.GetLabel())
self.assertEqual(e2.GetTime(), e2_.GetTime())
self.assertEqual(e2.GetFrame(), e2_.GetFrame())
self.assertEqual(e2.GetContext(), e2_.GetContext())
self.assertEqual(e2.GetDetectionFlags(), e2_.GetDetectionFlags())
self.assertEqual(e2.GetSubject(), e2_.GetSubject())
self.assertEqual(e2.GetDescription(), e2_.GetDescription())
self.assertEqual(e2.GetId(), e2_.GetId())
e2.SetLabel('Unknown')
self.assertEqual(e2.GetLabel(), e2_.GetLabel())
self.assertEqual(e2.GetTime(), e2_.GetTime())
self.assertEqual(e2.GetFrame(), e2_.GetFrame())
self.assertEqual(e2.GetContext(), e2_.GetContext())
self.assertEqual(e2.GetDetectionFlags(), e2_.GetDetectionFlags())
self.assertEqual(e2.GetSubject(), e2_.GetSubject())
self.assertEqual(e2.GetDescription(), e2_.GetDescription())
self.assertEqual(e2.GetId(), e2_.GetId())
e2_.SetTime(1.45)
self.assertEqual(e2.GetLabel(), e2_.GetLabel())
self.assertEqual(e2.GetTime(), e2_.GetTime())
self.assertEqual(e2.GetFrame(), e2_.GetFrame())
self.assertEqual(e2.GetContext(), e2_.GetContext())
self.assertEqual(e2.GetDetectionFlags(), e2_.GetDetectionFlags())
self.assertEqual(e2.GetSubject(), e2_.GetSubject())
self.assertEqual(e2.GetDescription(), e2_.GetDescription())
self.assertEqual(e2.GetId(), e2_.GetId())
def test_insert_index_first(self):
ec = btk.btkEventCollection()
ec.InsertItem(0, btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(0, btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
e2 = ec.GetItem(0)
self.assertEqual(e2.GetLabel(), 'BAR')
self.assertEqual(e2.GetTime(), 2.03)
self.assertEqual(e2.GetFrame(), -1)
self.assertEqual(e2.GetContext(), 'Left')
self.assertEqual(e2.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e2.GetSubject(), 'Foo')
self.assertEqual(e2.GetDescription(), '')
self.assertEqual(e2.GetId(), 2)
e1 = ec.GetItem(1)
self.assertEqual(e1.GetLabel(), 'FOO')
self.assertEqual(e1.GetTime(), 1.52)
self.assertEqual(e1.GetFrame(), -1)
self.assertEqual(e1.GetContext(), 'Right')
self.assertEqual(e1.GetDetectionFlags(), btk.btkEvent.Manual)
self.assertEqual(e1.GetSubject(), 'Bar')
self.assertEqual(e1.GetDescription(), '')
self.assertEqual(e1.GetId(), 1)
def test_insert_index_last(self):
ec = btk.btkEventCollection()
ec.InsertItem(0, btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(1, btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
e2 = ec.GetItem(1)
self.assertEqual(e2.GetLabel(), 'BAR')
self.assertEqual(e2.GetTime(), 2.03)
self.assertEqual(e2.GetFrame(), -1)
self.assertEqual(e2.GetContext(), 'Left')
self.assertEqual(e2.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e2.GetSubject(), 'Foo')
self.assertEqual(e2.GetDescription(), '')
self.assertEqual(e2.GetId(), 2)
e1 = ec.GetItem(0)
self.assertEqual(e1.GetLabel(), 'FOO')
self.assertEqual(e1.GetTime(), 1.52)
self.assertEqual(e1.GetFrame(), -1)
self.assertEqual(e1.GetContext(), 'Right')
self.assertEqual(e1.GetDetectionFlags(), btk.btkEvent.Manual)
self.assertEqual(e1.GetSubject(), 'Bar')
self.assertEqual(e1.GetDescription(), '')
self.assertEqual(e1.GetId(), 1)
def test_insert_index_middle(self):
ec = btk.btkEventCollection()
ec.InsertItem(btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
ec.InsertItem(1, btk.btkEvent('FOOBAR', 5.05, 'General', btk.btkEvent.Automatic, 'FooBar', '', 3))
self.assertEqual(ec.GetItemNumber(), 3)
e = ec.GetItem(1)
self.assertEqual(e.GetLabel(), 'FOOBAR')
self.assertEqual(e.GetTime(), 5.05)
self.assertEqual(e.GetFrame(), -1)
self.assertEqual(e.GetContext(), 'General')
self.assertEqual(e.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e.GetSubject(), 'FooBar')
self.assertEqual(e.GetDescription(), '')
self.assertEqual(e.GetId(), 3)
def test_take(self):
ec = btk.btkEventCollection()
ec.InsertItem(btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
self.assertEqual(ec.GetItemNumber(), 2)
e1 = ec.TakeItem(0)
self.assertEqual(ec.GetItemNumber(), 1)
self.assertEqual(e1.GetLabel(), 'FOO')
self.assertEqual(e1.GetTime(), 1.52)
self.assertEqual(e1.GetFrame(), -1)
self.assertEqual(e1.GetContext(), 'Right')
self.assertEqual(e1.GetDetectionFlags(), btk.btkEvent.Manual)
self.assertEqual(e1.GetSubject(), 'Bar')
self.assertEqual(e1.GetDescription(), '')
self.assertEqual(e1.GetId(), 1)
e2 = ec.GetItem(0)
self.assertEqual(e2.GetLabel(), 'BAR')
self.assertEqual(e2.GetTime(), 2.03)
self.assertEqual(e2.GetFrame(), -1)
self.assertEqual(e2.GetContext(), 'Left')
self.assertEqual(e2.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e2.GetSubject(), 'Foo')
self.assertEqual(e2.GetDescription(), '')
self.assertEqual(e2.GetId(), 2)
ec.Clear()
self.assertEqual(ec.GetItemNumber(), 0)
def test_iterator(self):
ec = btk.btkEventCollection()
ec.SetItemNumber(5)
for i in range(0,5):
e = btk.btkEvent()
e.SetId(i)
ec.SetItem(i, e)
inc = 0
i = ec.Begin()
while i != ec.End():
self.assertEqual(i.value().GetId(), inc)
inc = inc + 1
i.incr()
inc = 0
i = ec.Begin()
while i != ec.End():
i.value().SetId(inc * 10)
self.assertEqual(i.value().GetId(), inc * 10)
inc = inc + 1
i.incr()
def test_iterator_insert_begin(self):
ec = btk.btkEventCollection()
ec.InsertItem(ec.Begin(), btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(ec.Begin(), btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
e2 = ec.GetItem(0)
self.assertEqual(e2.GetLabel(), 'BAR')
self.assertEqual(e2.GetTime(), 2.03)
self.assertEqual(e2.GetFrame(), -1)
self.assertEqual(e2.GetContext(), 'Left')
self.assertEqual(e2.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e2.GetSubject(), 'Foo')
self.assertEqual(e2.GetDescription(), '')
self.assertEqual(e2.GetId(), 2)
e1 = ec.GetItem(1)
self.assertEqual(e1.GetLabel(), 'FOO')
self.assertEqual(e1.GetTime(), 1.52)
self.assertEqual(e1.GetFrame(), -1)
self.assertEqual(e1.GetContext(), 'Right')
self.assertEqual(e1.GetDetectionFlags(), btk.btkEvent.Manual)
self.assertEqual(e1.GetSubject(), 'Bar')
self.assertEqual(e1.GetDescription(), '')
self.assertEqual(e1.GetId(), 1)
def test_iterator_insert_end(self):
ec = btk.btkEventCollection()
ec.InsertItem(ec.End(), btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(ec.End(), btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
e2 = ec.GetItem(1)
self.assertEqual(e2.GetLabel(), 'BAR')
self.assertEqual(e2.GetTime(), 2.03)
self.assertEqual(e2.GetFrame(), -1)
self.assertEqual(e2.GetContext(), 'Left')
self.assertEqual(e2.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e2.GetSubject(), 'Foo')
self.assertEqual(e2.GetDescription(), '')
self.assertEqual(e2.GetId(), 2)
e1 = ec.GetItem(0)
self.assertEqual(e1.GetLabel(), 'FOO')
self.assertEqual(e1.GetTime(), 1.52)
self.assertEqual(e1.GetFrame(), -1)
self.assertEqual(e1.GetContext(), 'Right')
self.assertEqual(e1.GetDetectionFlags(), btk.btkEvent.Manual)
self.assertEqual(e1.GetSubject(), 'Bar')
self.assertEqual(e1.GetDescription(), '')
self.assertEqual(e1.GetId(), 1)
def test_iterator_insert_middle(self):
ec = btk.btkEventCollection()
ec.InsertItem(btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
i = ec.Begin()
i.incr()
ec.InsertItem(i, btk.btkEvent('FOOBAR', 5.05, 'General', btk.btkEvent.Automatic, 'FooBar', '', 3))
self.assertEqual(ec.GetItemNumber(), 3)
e = ec.GetItem(1)
self.assertEqual(e.GetLabel(), 'FOOBAR')
self.assertEqual(e.GetTime(), 5.05)
self.assertEqual(e.GetFrame(), -1)
self.assertEqual(e.GetContext(), 'General')
self.assertEqual(e.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e.GetSubject(), 'FooBar')
self.assertEqual(e.GetDescription(), '')
self.assertEqual(e.GetId(), 3)
def test_iterator_remove_begin(self):
ec = btk.btkEventCollection()
ec.InsertItem(btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
ec.InsertItem(btk.btkEvent('FOOBAR', 5.05, 'General', btk.btkEvent.Automatic, 'FooBar', '', 3))
self.assertEqual(ec.GetItemNumber(), 3)
ec.RemoveItem(ec.Begin())
self.assertEqual(ec.GetItemNumber(), 2)
e2 = ec.GetItem(0)
self.assertEqual(e2.GetLabel(), 'BAR')
self.assertEqual(e2.GetTime(), 2.03)
self.assertEqual(e2.GetFrame(), -1)
self.assertEqual(e2.GetContext(), 'Left')
self.assertEqual(e2.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e2.GetSubject(), 'Foo')
self.assertEqual(e2.GetDescription(), '')
self.assertEqual(e2.GetId(), 2)
e3 = ec.GetItem(1)
self.assertEqual(e3.GetLabel(), 'FOOBAR')
self.assertEqual(e3.GetTime(), 5.05)
self.assertEqual(e3.GetFrame(), -1)
self.assertEqual(e3.GetContext(), 'General')
self.assertEqual(e3.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e3.GetSubject(), 'FooBar')
self.assertEqual(e3.GetDescription(), '')
self.assertEqual(e3.GetId(), 3)
def test_iterator_remove_end(self):
ec = btk.btkEventCollection()
ec.InsertItem(btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
ec.InsertItem(btk.btkEvent('FOOBAR', 5.05, 'General', btk.btkEvent.Automatic, 'FooBar', '', 3))
self.assertEqual(ec.GetItemNumber(), 3)
i = ec.End()
i.decr()
ec.RemoveItem(i)
self.assertEqual(ec.GetItemNumber(), 2)
e1 = ec.GetItem(0)
self.assertEqual(e1.GetLabel(), 'FOO')
self.assertEqual(e1.GetTime(), 1.52)
self.assertEqual(e1.GetFrame(), -1)
self.assertEqual(e1.GetContext(), 'Right')
self.assertEqual(e1.GetDetectionFlags(), btk.btkEvent.Manual)
self.assertEqual(e1.GetSubject(), 'Bar')
self.assertEqual(e1.GetDescription(), '')
self.assertEqual(e1.GetId(), 1)
e2 = ec.GetItem(1)
self.assertEqual(e2.GetLabel(), 'BAR')
self.assertEqual(e2.GetTime(), 2.03)
self.assertEqual(e2.GetFrame(), -1)
self.assertEqual(e2.GetContext(), 'Left')
self.assertEqual(e2.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e2.GetSubject(), 'Foo')
self.assertEqual(e2.GetDescription(), '')
self.assertEqual(e2.GetId(), 2)
def test_iterator_remove_middle(self):
ec = btk.btkEventCollection()
ec.InsertItem(btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
ec.InsertItem(btk.btkEvent('FOOBAR', 5.05, 'General', btk.btkEvent.Automatic, 'FooBar', '', 3))
i = ec.Begin()
i.incr()
ec.RemoveItem(i)
self.assertEqual(ec.GetItemNumber(), 2)
e = ec.GetItem(1)
self.assertEqual(e.GetLabel(), 'FOOBAR')
self.assertEqual(e.GetTime(), 5.05)
self.assertEqual(e.GetFrame(), -1)
self.assertEqual(e.GetContext(), 'General')
self.assertEqual(e.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e.GetSubject(), 'FooBar')
self.assertEqual(e.GetDescription(), '')
self.assertEqual(e.GetId(), 3)
def test_iterator_remove_clear(self):
ec = btk.btkEventCollection()
ec.SetItemNumber(5)
for i in range(0,5):
e = btk.btkEvent()
e.SetId(i)
ec.SetItem(i, e)
i = ec.Begin()
while i != ec.End():
i = ec.RemoveItem(i)
self.assertEqual(ec.GetItemNumber(), 0)
def test_iterator_take_begin(self):
ec = btk.btkEventCollection()
ec.InsertItem(btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
ec.InsertItem(btk.btkEvent('FOOBAR', 5.05, 'General', btk.btkEvent.Automatic, 'FooBar', '', 3))
self.assertEqual(ec.GetItemNumber(), 3)
e1 = ec.TakeItem(ec.Begin())
self.assertEqual(ec.GetItemNumber(), 2)
self.assertEqual(e1.GetLabel(), 'FOO')
self.assertEqual(e1.GetTime(), 1.52)
self.assertEqual(e1.GetFrame(), -1)
self.assertEqual(e1.GetContext(), 'Right')
self.assertEqual(e1.GetDetectionFlags(), btk.btkEvent.Manual)
self.assertEqual(e1.GetSubject(), 'Bar')
self.assertEqual(e1.GetDescription(), '')
self.assertEqual(e1.GetId(), 1)
e2 = ec.GetItem(0)
self.assertEqual(e2.GetLabel(), 'BAR')
self.assertEqual(e2.GetTime(), 2.03)
self.assertEqual(e2.GetFrame(), -1)
self.assertEqual(e2.GetContext(), 'Left')
self.assertEqual(e2.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e2.GetSubject(), 'Foo')
self.assertEqual(e2.GetDescription(), '')
self.assertEqual(e2.GetId(), 2)
e3 = ec.GetItem(1)
self.assertEqual(e3.GetLabel(), 'FOOBAR')
self.assertEqual(e3.GetTime(), 5.05)
self.assertEqual(e3.GetFrame(), -1)
self.assertEqual(e3.GetContext(), 'General')
self.assertEqual(e3.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e3.GetSubject(), 'FooBar')
self.assertEqual(e3.GetDescription(), '')
self.assertEqual(e3.GetId(), 3)
def test_iterator_take_end(self):
ec = btk.btkEventCollection()
ec.InsertItem(btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
ec.InsertItem(btk.btkEvent('FOOBAR', 5.05, 'General', btk.btkEvent.Automatic, 'FooBar', '', 3))
self.assertEqual(ec.GetItemNumber(), 3)
i = ec.End(); i.decr()
e3 = ec.TakeItem(i)
e1 = ec.GetItem(0)
self.assertEqual(ec.GetItemNumber(), 2)
self.assertEqual(e1.GetLabel(), 'FOO')
self.assertEqual(e1.GetTime(), 1.52)
self.assertEqual(e1.GetFrame(), -1)
self.assertEqual(e1.GetContext(), 'Right')
self.assertEqual(e1.GetDetectionFlags(), btk.btkEvent.Manual)
self.assertEqual(e1.GetSubject(), 'Bar')
self.assertEqual(e1.GetDescription(), '')
self.assertEqual(e1.GetId(), 1)
e2 = ec.GetItem(1)
self.assertEqual(e2.GetLabel(), 'BAR')
self.assertEqual(e2.GetTime(), 2.03)
self.assertEqual(e2.GetFrame(), -1)
self.assertEqual(e2.GetContext(), 'Left')
self.assertEqual(e2.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e2.GetSubject(), 'Foo')
self.assertEqual(e2.GetDescription(), '')
self.assertEqual(e2.GetId(), 2)
# e3
self.assertEqual(e3.GetLabel(), 'FOOBAR')
self.assertEqual(e3.GetTime(), 5.05)
self.assertEqual(e3.GetFrame(), -1)
self.assertEqual(e3.GetContext(), 'General')
self.assertEqual(e3.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e3.GetSubject(), 'FooBar')
self.assertEqual(e3.GetDescription(), '')
self.assertEqual(e3.GetId(), 3)
def test_iterator_take_middle(self):
ec = btk.btkEventCollection()
ec.InsertItem(btk.btkEvent('FOO', 1.52, 'Right', btk.btkEvent.Manual, 'Bar', '', 1))
ec.InsertItem(btk.btkEvent('BAR', 2.03, 'Left', btk.btkEvent.Automatic, 'Foo', '', 2))
ec.InsertItem(btk.btkEvent('FOOBAR', 5.05, 'General', btk.btkEvent.Automatic, 'FooBar', '', 3))
self.assertEqual(ec.GetItemNumber(), 3)
i = ec.Begin(); i.incr()
e2 = ec.TakeItem(i)
e1 = ec.GetItem(0)
self.assertEqual(ec.GetItemNumber(), 2)
self.assertEqual(e1.GetLabel(), 'FOO')
self.assertEqual(e1.GetTime(), 1.52)
self.assertEqual(e1.GetFrame(), -1)
self.assertEqual(e1.GetContext(), 'Right')
self.assertEqual(e1.GetDetectionFlags(), btk.btkEvent.Manual)
self.assertEqual(e1.GetSubject(), 'Bar')
self.assertEqual(e1.GetDescription(), '')
self.assertEqual(e1.GetId(), 1)
# e2
self.assertEqual(e2.GetLabel(), 'BAR')
self.assertEqual(e2.GetTime(), 2.03)
self.assertEqual(e2.GetFrame(), -1)
self.assertEqual(e2.GetContext(), 'Left')
self.assertEqual(e2.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e2.GetSubject(), 'Foo')
self.assertEqual(e2.GetDescription(), '')
self.assertEqual(e2.GetId(), 2)
e3 = ec.GetItem(1)
self.assertEqual(e3.GetLabel(), 'FOOBAR')
self.assertEqual(e3.GetTime(), 5.05)
self.assertEqual(e3.GetFrame(), -1)
self.assertEqual(e3.GetContext(), 'General')
self.assertEqual(e3.GetDetectionFlags(), btk.btkEvent.Automatic)
self.assertEqual(e3.GetSubject(), 'FooBar')
self.assertEqual(e3.GetDescription(), '')
self.assertEqual(e3.GetId(), 3) | 47.465882 | 106 | 0.60804 | 2,281 | 20,173 | 5.345901 | 0.034196 | 0.32229 | 0.144989 | 0.053141 | 0.971953 | 0.964655 | 0.954978 | 0.93341 | 0.916024 | 0.912252 | 0 | 0.039226 | 0.219006 | 20,173 | 425 | 107 | 47.465882 | 0.734751 | 0.000248 | 0 | 0.879012 | 0 | 0 | 0.039472 | 0 | 0 | 0 | 0 | 0 | 0.646914 | 1 | 0.044444 | false | 0 | 0.004938 | 0 | 0.051852 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
a05196597729a673a4dfcb8af9d4a8b484d1e562 | 5,088 | py | Python | utils/StopableThread.py | duxman/DuxmanThermostat | 10a852677189f5ca58d7177a145f7d2605657d8e | [
"Apache-2.0"
] | null | null | null | utils/StopableThread.py | duxman/DuxmanThermostat | 10a852677189f5ca58d7177a145f7d2605657d8e | [
"Apache-2.0"
] | null | null | null | utils/StopableThread.py | duxman/DuxmanThermostat | 10a852677189f5ca58d7177a145f7d2605657d8e | [
"Apache-2.0"
] | null | null | null | import queue
import threading
class StopableProduceThread(threading.Thread):
ConsumerQueue = None
Logger = None
def __init__(self, queue = None,target = None, sleep = 0.1, name = "DefaultConsumerThread", logger = None):
"""
:param queue: Cola de mensajes de donde obtendremos los datos a procesar
:param target: Funcion a ejecutar para procesar los datos
:param sleep: Tiempo de parada entre mensaje y mensaje
:param name: Nombre identificativo del thread consumidor
"""
""" constructor, setting initial variables """
self.ConsumerQueue = queue
self.Target = target
self.Name = name
self.SleepPeriod = sleep
self.Logger = logger
""" Creamos el Evento de parada y el tiempo de espera"""
self._stopevent = threading.Event( )
self._sleepperiod = self.SleepPeriod
"""Creamos el thread desde el padre"""
threading.Thread.__init__(self, name=self.Name)
def stop(self, timeout=1):
"""
Paramaos el thread
:param timeout: timeout de espera para para el thread
:return: None
"""
""" Stop the thread and wait for it to end. """
self._stopevent.set( )
"""Esperamos el tiempo fijado de parada"""
threading.Thread.join(self, timeout)
def isRunning(self):
"""
Comprobamos si el thread esta en ejecucion
:return:
"""
return not self._stopevent.isSet( )
def run(self):
"""
Funcion de ejecucion del thread
:return:
"""
#print "%s
# starts" % (self.getName(),)
#count = 0
"""Mientras no este parado"""
while self.isRunning() and self.Target != None:
if self.ConsumerQueue !=None:
""""Obtenemos el valor y lo introducimos en la cola"""
valor = self.Target()
self.ConsumerQueue.put( valor )
"""Comprobamos si tenemos que esperar"""
if (self._sleepperiod > 0):
"""Hacemos un wait con tiempo para no quedarnos bloqueados"""
self._stopevent.wait(self._sleepperiod)
"""Fin del proceso"""
self.Logger.info( "Exit Threat " + self.name )
class StopableConsumerThread(threading.Thread):
ConsumerQueue = None
Logger = None
def __init__(self, queue = None,target = None, sleep = 0.1, name = "DefaultConsumerThread", logger = None):
"""
:param queue: Cola de mensajes de donde obtendremos los datos a procesar
:param target: Funcion a ejecutar para procesar los datos
:param sleep: Tiempo de parada entre mensaje y mensaje
:param name: Nombre identificativo del thread consumidor
"""
""" constructor, setting initial variables """
self.ConsumerQueue = queue
self.Target = target
self.Name = name
self.SleepPeriod = sleep
self.Logger = logger
""" Creamos el Evento de parada y el tiempo de espera"""
self._stopevent = threading.Event( )
self._sleepperiod = self.SleepPeriod
"""Creamos el thread desde el padre"""
threading.Thread.__init__(self, name=self.Name)
def stop(self, timeout=1):
"""
Paramaos el thread
:param timeout: timeout de espera para para el thread
:return: None
"""
""" Stop the thread and wait for it to end. """
self._stopevent.set( )
"""Esperamos el tiempo fijado de parada"""
threading.Thread.join(self, timeout)
def isRunning(self):
"""
Comprobamos si el thread esta en ejecucion
:return:
"""
return not self._stopevent.isSet( )
def run(self):
"""
Funcion de ejecucion del thread
:return:
"""
#print "%s
# starts" % (self.getName(),)
#count = 0
"""Mientras no este parado"""
while self.isRunning() and self.Target != None:
if self.ConsumerQueue !=None:
try:
""""Obtenemos el valor de la cola esperamos si esta relleno"""
valor = self.ConsumerQueue.get( False, self._sleepperiod)
self.Target(valor)
"""indicamos la finalizacion del proceso del valor para que lo elimine de la queue"""
self.ConsumerQueue.task_done()
except queue.Empty:
"""si no tenemos valor lo controlamos"""
pass
#print "Empty... " + e.message
else:
"""comprobamos si tenemos target si no lo tenemos """
self.Target(valor)
"""Comprobamos si tenemos que esperar"""
if (self._sleepperiod > 0):
"""Hacemos un wait con tiempo para no quedarnos bloqueados"""
self._stopevent.wait(self._sleepperiod)
"""Fin del proceso"""
self.Logger.info( "Exit Threat " + self.name )
| 33.92 | 111 | 0.570165 | 547 | 5,088 | 5.244973 | 0.226691 | 0.057511 | 0.019868 | 0.022307 | 0.835134 | 0.835134 | 0.835134 | 0.835134 | 0.835134 | 0.835134 | 0 | 0.00295 | 0.333726 | 5,088 | 149 | 112 | 34.147651 | 0.843363 | 0.190645 | 0 | 0.793103 | 0 | 0 | 0.023913 | 0.015217 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0.017241 | 0.034483 | 0 | 0.310345 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
2634059c9f1cfe25140887c051a6505a2e9117ec | 208 | py | Python | tp/shell/__init__.py | chinapnr/agbot | 9739ce1c2198e50111629db2d1de785edd06876e | [
"MIT"
] | 2 | 2018-06-23T06:48:46.000Z | 2018-06-23T10:11:50.000Z | tp/shell/__init__.py | chinapnr/agbot | 9739ce1c2198e50111629db2d1de785edd06876e | [
"MIT"
] | 5 | 2020-01-03T09:33:02.000Z | 2021-06-02T00:49:52.000Z | tp/shell/__init__.py | chinapnr/agbot | 9739ce1c2198e50111629db2d1de785edd06876e | [
"MIT"
] | 1 | 2021-07-07T07:17:27.000Z | 2021-07-07T07:17:27.000Z | from agbot.core.model.context import VerticalContext
from .tp_shell import ShellTestPoint
def run(tp_conf_dict, vertical_context: VerticalContext):
return ShellTestPoint(tp_conf_dict, vertical_context)
| 29.714286 | 57 | 0.841346 | 27 | 208 | 6.222222 | 0.592593 | 0.071429 | 0.119048 | 0.214286 | 0.297619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.100962 | 208 | 6 | 58 | 34.666667 | 0.898396 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
267f43e7064b3be69920010a00747785aadd55b6 | 341,996 | py | Python | mtg/stats/tests/mkm_fixtures.py | thomasperrot/MTGTrader | 36c2d4992bb5cfff48e36aeb48c0fc8122d8a8b0 | [
"MIT"
] | 5 | 2017-09-27T15:58:41.000Z | 2020-08-30T02:33:58.000Z | mtg/stats/tests/mkm_fixtures.py | thomasperrot/MTGTrader | 36c2d4992bb5cfff48e36aeb48c0fc8122d8a8b0 | [
"MIT"
] | null | null | null | mtg/stats/tests/mkm_fixtures.py | thomasperrot/MTGTrader | 36c2d4992bb5cfff48e36aeb48c0fc8122d8a8b0 | [
"MIT"
] | 2 | 2019-10-18T00:04:30.000Z | 2021-06-06T10:14:41.000Z | page_without_foil = """
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width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon"></span><h1 class="c-w nameHeader" itemprop="name">Abyssal Specter (Fifth Edition)</h1></div><a id="showcase-hide" class="fl-r" onclick="switchElements('showcase-show','showcase-hide'),hideBlockElement('imgDiv'), hideBlockElement('prodAccordion'), showBlockElement('imgDiv-collapsed'), showBlockElement('prodAccordion-collapsed'),document.getElementById('prodImageId').className += ' prodImage-collapsed'; jcp('s%7Dz%7FfGPDd%5DMNRRZM%05z%00%08%02%1C%11%29+%2F%25%2F%18%24%229%2C1%227%05%3D0%21%2A%2A%2A','','',false)" style="cursor: pointer; border: none; padding-right: 2px;"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -48px;" class="icon"></span></a><a id="showcase-show" class="fl-r hiddenBlock" onclick="switchElements('showcase-hide','showcase-show'), hideBlockElement('imgDiv-collapsed'), hideBlockElement('prodAccordion-collapsed'), showBlockElement('imgDiv'), showBlockElement('prodAccordion'),document.getElementById('prodImageId').className = 'prodImage'; jcp('s%7Dz%7FfGPDd%5DMNRRZM%05z%00%08%02%1C%11%29+%2F%25%2F%18%24%229%2C1%227%05%3D0%21%2A%2A%2A','','',false)" style="cursor: pointer; border: none; padding-right: 2px;"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -48px;" class="icon"></span></a></div><div class="MKMBlockContent clearfix"><div class="fl-l MKMBlock prodimg-block algn-c bg-w" id="imgDiv"><div class="trans trans-delay" id="prodimg-slideshow"><div class="slideshow-img"><img src="/img/a5aefa830e28fbb2ded382425e1ebaff/cards/Fifth_Edition/abbey_gargoyles.jpg" alt="Abbey Gargoyles" id="prodImageId" class="prodImage" itemprop="image"></div><a href="/Products/Singles/Fifth+Edition/Abbey+Gargoyles" onmouseout="prodimgAnimate();" onmouseover="prodimgAnimate('prev');" id="prodimg-prev"><span id="prev" class="slideshow-btn prev brad0330 trans"><span class="prevtriangle"></span></span></a><div class="slideshow-img"><img src="/img/a5aefa830e28fbb2ded382425e1ebaff/cards/Fifth_Edition/abyssal_specter.jpg" alt="Abyssal Specter" id="prodImageId" class="prodImage" itemprop="image"></div><div class="slideshow-img"><img src="/img/a5aefa830e28fbb2ded382425e1ebaff/cards/Fifth_Edition/adarkar_wastes.jpg" alt="Adarkar Wastes" id="prodImageId" class="prodImage" itemprop="image"></div><a href="/Products/Singles/Fifth+Edition/Adarkar+Wastes" onmouseout="prodimgAnimate();" onmouseover="prodimgAnimate('next');" id="prodimg-next"><span id="next" class="slideshow-btn next brad3003 trans"><span class="nexttriangle"></span></span></a></div></div><div class="fl-l MKMBlock prodimg-block algn-c bg-w hiddenBlock" id="imgDiv-collapsed"><img src="/img/a5aefa830e28fbb2ded382425e1ebaff/cards/Fifth_Edition/abyssal_specter.jpg" alt="Abyssal Specter" id="prodImageId" class="prodImage prodImage-collapsed" itemprop="image"></div><div class="fl-r MKMBlock prodacc-block brd-w" id="prodAccordion"><div class="skm-accordion horizontal"><section onclick="sp_sectionClick(this)" id="ProductInformation" class="fl-l openSection"><h2><div class="block" onclick="jcp('p%60ebeBWAgPBCQW%5DH%06%07%7Fu%01%19%11%260%01%23%21%29%3C%26%3F%1C%2C+%2A%3C%2A%2A%2A'+encodeURI(1),'','',false)"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -68px;" class="icon"></span>Product Information</div></h2><div class="sectioncontent"><div class="prodDetails"><table class="infoTableSingles"><tbody><tr class="row_Even row_0"><td class="outerTop outerLeft col_Even col_0 cell_0_0">Rarity:</td><td class="outerTop outerRight col_Odd col_1 cell_0_1"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/6b44902d8f465cbeb51dbe278e802889/spriteSheets/ssRarity/ssRarity1.png'); background-position: -128px -0px;" class="icon" onmouseover="showMsgBox(this,'Uncommon')" onmouseout="hideMsgBox()"></span></td></tr><tr class="row_Odd row_1"><td class="outerBottom outerLeft col_Even col_0 cell_1_0">Printed in:</td><td class="outerBottom outerRight col_Odd col_1 cell_1_1"><div class="expansionsBox"><a href="/Products/Singles/Modern+Masters+2017/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -84px -819px;" onmouseover="setAndShowImgBox(this,'/img/88ad8ce78938a6fc4fa1c5106f58c64d/cards/Modern_Masters_2017/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Modern Masters 2017)"></span></a><a href="/Products/Singles/Duel+Decks%3A+Anthology/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -189px -525px;" onmouseover="setAndShowImgBox(this,'/img/8bdd236c8599b2946043b9c52f13fc65/cards/Duel_Decks_Anthology/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duel Decks: Anthology)"></span></a><a href="/Products/Singles/Salvat-Hachette+2011/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -21px -378px;" onmouseover="setAndShowImgBox(this,'/img/54eb7e8039d096abaf38715e653eb4b9/cards/Salvat_Hachette_2011/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Salvat-Hachette 2011)"></span></a><a href="/Products/Singles/Duels+of+the+Planeswalkers+Decks/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -126px -315px;" onmouseover="setAndShowImgBox(this,'/img/e21042e4600a6da25401442d286d9881/cards/Duels_of_the_Planeswalkers_Decks/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duels of the Planeswalkers Decks)"></span></a><a href="/Products/Singles/Duel+Decks%3A+Divine+vs.+Demonic/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -84px -210px;" onmouseover="setAndShowImgBox(this,'/img/8dca40979a082f87addea7319206768c/cards/Duel_Decks_Divine_vs._Demonic/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duel Decks: Divine vs. Demonic)"></span></a><a href="/Products/Singles/Eighth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -42px -84px;" onmouseover="setAndShowImgBox(this,'/img/75858fe85289ce3dcbb62e5e80297fde/cards/Eighth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Eighth Edition)"></span></a><a href="/Products/Singles/Deckmasters/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -105px -126px;" onmouseover="setAndShowImgBox(this,'/img/29a7e2987900c184880ffbafec1954a7/cards/Deckmasters/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Deckmasters)"></span></a><a href="/Products/Singles/Seventh+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -105px -63px;" onmouseover="setAndShowImgBox(this,'/img/36cb5ec897f35cb258c15c96c909d38a/cards/Seventh_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Seventh Edition)"></span></a><a href="/Products/Singles/Battle+Royale/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -42px -126px;" onmouseover="setAndShowImgBox(this,'/img/59b9471cdfb33c7408a97db9c0cb27d5/cards/Battle_Royale/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Battle Royale)"></span></a><a href="/Products/Singles/Sixth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -147px -42px;" onmouseover="setAndShowImgBox(this,'/img/e49adf7550a06ffbeec2e9bef353e4ae/cards/Sixth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Sixth Edition)"></span></a><a href="/Products/Singles/Fifth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -21px -42px;" onmouseover="setAndShowImgBox(this,'/img/a5aefa830e28fbb2ded382425e1ebaff/cards/Fifth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Fifth Edition)"></span></a><a href="/Products/Singles/Ice+Age/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -0px -21px;" onmouseover="setAndShowImgBox(this,'/img/51710551ba6e174d6ae82a7aac2bf340/cards/Ice_Age/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Ice Age)"></span></a></div><a href="/Cards/Abyssal+Specter" class="seeAllLink">See cards from all expansions</a></td></tr></tbody></table><h3>Product Availability</h3><div class="infoBlock" itemprop="offerDetails" itemscope="itemscope" itemtype="http://data-vocabulary.org/Offer-aggregate"><table class="availTable"><tbody><tr class="row_Even row_0"><td class="outerTop outerLeft col_Even col_0 cell_0_0">Available items:</td><td class="outerTop outerRight col_Odd col_1 cell_0_1"><span itemprop="offerCount">400</span></td></tr><tr class="row_Odd row_1"><td class="outerLeft col_Even col_0 cell_1_0">From (EX+):</td><td class="outerRight col_Odd col_1 cell_1_1"><span itemprop="lowPrice">0,02</span><meta itemprop="currency" content="EUR"><span> €</span></td></tr><tr class="row_Even row_2"><td class="outerBottom outerLeft col_Even col_0 cell_2_0">Price Trend:</td><td class="outerBottom outerRight col_Odd col_1 cell_2_1">0,12 €</td></tr></tbody></table></div><h3>Rules Text</h3><div class="infoBlock rulesBlock" itemprop="description">Flying<br />
<br />
Whenever Abyssal Specter deals damage to a player, that player discards a card.</div></div><div style="float:right; padding: 0px; margin: 0px;;"><div id="nonfoil"><div class="statsChart" id="chartCanvas937258ed240585618" style="position: relative;"><canvas id="prodChart937258ed240585618" width="250" height="220"></canvas><div id="chartLegend937258ed240585618" style="display: block; background-color: white"></div></div><script type="text/javascript" charset="UTF-8">var chartOptions ={"animation":false,"scaleFontSize":8,"scaleShowLabels":true,"skipLabels":true,"scaleLabel":"<%=\' \'+value+\' \u20ac\'%>","scaleIntegersOnly":false,"scaleShowGridLines":true,"scaleGridLineColor":"rgba(0,0,0,.05)","scaleGridLineWidth":1,"scaleShowHorizontalLines":true,"scaleShowVerticalLines":true,"bezierCurve":true,"bezierCurveTension":0.3,"pointDot":true,"pointDotRadius":1,"pointDotStrokeWidth":0,"pointHitDetectionRadius":2,"datasetStroke":true,"datasetStrokeWidth":1,"datasetFill":false,"multiTooltipTemplate":"<%= value.toFixed(2)+\' \u20ac\'%>","legendTemplate":"<ul style=\"padding: 0 0 0 0; margin: 0 9px 0 18px;\"><% for (var i=0; i<datasets.length; i++){%><li style=\"padding: 0 0 0 0; margin: 0 0 0 0; color:<%=datasets[i].strokeColor%>\"><%if(datasets[i].label){%><%=datasets[i].label%><%}%><\/li><%}%><\/ul>"};var chartData ={"labels":["04.08.16","09.08.16","13.08.16","21.09.16","28.09.16","29.09.16","01.10.16","05.10.16","09.10.16","14.10.16","26.10.16","03.11.16","10.11.16","15.11.16","16.11.16","09.12.16","17.12.16","26.12.16","30.12.16","31.12.16","04.01.17","18.01.17","06.02.17","08.02.17","11.02.17","19.02.17","23.02.17","06.03.17","08.03.17","04.04.17"],"datasets":[{"label":"Avg. Sell Price","strokeColor":"rgba(1,33,105,1)","pointColor":"rgba(1,33,105,1)","pointStrokeColor":"rgba(1,33,105,1)","pointHighlightStroke":"rgba(1,33,105,1)","data":[0.22,0.05,0.04,0.05,0.22,0.07,0.02,0.03,0.32,0.02,0.2,0.04,0.18,0.02,0.05,0.2,0.22,0.05,0.16,0.05,0.07,0.26,0.2,0.06,0.1,0.1,0.05,0.1,0.22,0.05]},{"label":"Price Trend","strokeColor":"rgba(151,187,205,1)","pointColor":"rgba(151,187,205,1)","pointStrokeColor":"rgba(151,187,205,1)","pointHighlightStroke":"rgba(151,187,205,1)","data":[0.1081935483871,0.10859399332592,0.10899443826474,0.10939488320356,0.10979532814238,0.1101957730812,0.11059621802002,0.11099666295884,0.11139710789766,0.11179755283649,0.11219799777531,0.11259844271413,0.11299888765295,0.11339933259177,0.11379977753059,0.11420022246941,0.11460066740823,0.11500111234705,0.11540155728587,0.11580200222469,0.11620244716352,0.11660289210234,0.11700333704116,0.11740378197998,0.1178042269188,0.11820467185762,0.11860511679644,0.11900556173526,0.11940600667408,0.1198064516129]}]};var ctx = document.getElementById("prodChart937258ed240585618").getContext("2d"); var myLineChart = new Chart(ctx).Line(chartData, chartOptions);document.getElementById("chartLegend937258ed240585618").innerHTML = myLineChart.generateLegend();</script></div></div></div></section><section onclick="sp_sectionClick(this)" id="0Comments" class="fl-l"><h2><div class="block" onclick="jcp('p%60ebeBWAgPBCQW%5DH%06%07%7Fu%01%19%11%260%01%23%21%29%3C%26%3F%1C%2C+%2A%3C%2A%2A%2A'+encodeURI(4),'','',false)"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -530px -68px;" class="icon"></span>0 Comments</div></h2><div class="sectioncontent"><div class="p-10" id="commentsWrapper"><p class="warn algn-c">No user has commented this product yet <span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Please note that the current language of the site is set to English<br>This product might have been commented in other languages.')" onmouseout="hideMsgBox()"></span></p></div></div></section></div></div><div class="fl-r MKMBlock prodacc-block brd-w content hiddenBlock" id="prodAccordion-collapsed"><div class="prodDetails-collapsed block"><div class="prodDetails-info block"><h3 class="m-0">Product Information</h3><table class="infoTable m-0"><tbody><tr class="row_Even row_0"><td class="outerTop outerLeft col_Even col_0 cell_0_0">Rarity:</td><td class="outerTop outerRight col_Odd col_1 cell_0_1"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/6b44902d8f465cbeb51dbe278e802889/spriteSheets/ssRarity/ssRarity1.png'); background-position: -128px -0px;" class="icon" onmouseover="showMsgBox(this,'Uncommon')" onmouseout="hideMsgBox()"></span></td></tr><tr class="row_Odd row_1"><td class="outerBottom outerLeft col_Even col_0 cell_1_0">Printed in:</td><td class="outerBottom outerRight col_Odd col_1 cell_1_1"><div class="expansionsBox"><a href="/Products/Singles/Modern+Masters+2017/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -84px -819px;" onmouseover="setAndShowImgBox(this,'/img/88ad8ce78938a6fc4fa1c5106f58c64d/cards/Modern_Masters_2017/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Modern Masters 2017)"></span></a><a href="/Products/Singles/Duel+Decks%3A+Anthology/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -189px -525px;" onmouseover="setAndShowImgBox(this,'/img/8bdd236c8599b2946043b9c52f13fc65/cards/Duel_Decks_Anthology/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duel Decks: Anthology)"></span></a><a href="/Products/Singles/Salvat-Hachette+2011/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -21px -378px;" onmouseover="setAndShowImgBox(this,'/img/54eb7e8039d096abaf38715e653eb4b9/cards/Salvat_Hachette_2011/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Salvat-Hachette 2011)"></span></a><a href="/Products/Singles/Duels+of+the+Planeswalkers+Decks/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -126px -315px;" onmouseover="setAndShowImgBox(this,'/img/e21042e4600a6da25401442d286d9881/cards/Duels_of_the_Planeswalkers_Decks/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duels of the Planeswalkers Decks)"></span></a><a href="/Products/Singles/Duel+Decks%3A+Divine+vs.+Demonic/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -84px -210px;" onmouseover="setAndShowImgBox(this,'/img/8dca40979a082f87addea7319206768c/cards/Duel_Decks_Divine_vs._Demonic/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duel Decks: Divine vs. Demonic)"></span></a><a href="/Products/Singles/Eighth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -42px -84px;" onmouseover="setAndShowImgBox(this,'/img/75858fe85289ce3dcbb62e5e80297fde/cards/Eighth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Eighth Edition)"></span></a><a href="/Products/Singles/Deckmasters/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -105px -126px;" onmouseover="setAndShowImgBox(this,'/img/29a7e2987900c184880ffbafec1954a7/cards/Deckmasters/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Deckmasters)"></span></a><a href="/Products/Singles/Seventh+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -105px -63px;" onmouseover="setAndShowImgBox(this,'/img/36cb5ec897f35cb258c15c96c909d38a/cards/Seventh_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Seventh Edition)"></span></a><a href="/Products/Singles/Battle+Royale/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -42px -126px;" onmouseover="setAndShowImgBox(this,'/img/59b9471cdfb33c7408a97db9c0cb27d5/cards/Battle_Royale/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Battle Royale)"></span></a><a href="/Products/Singles/Sixth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -147px -42px;" onmouseover="setAndShowImgBox(this,'/img/e49adf7550a06ffbeec2e9bef353e4ae/cards/Sixth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Sixth Edition)"></span></a><a href="/Products/Singles/Fifth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -21px -42px;" onmouseover="setAndShowImgBox(this,'/img/a5aefa830e28fbb2ded382425e1ebaff/cards/Fifth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Fifth Edition)"></span></a><a href="/Products/Singles/Ice+Age/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -0px -21px;" onmouseover="setAndShowImgBox(this,'/img/51710551ba6e174d6ae82a7aac2bf340/cards/Ice_Age/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Ice Age)"></span></a></div><a href="/Cards/Abyssal+Specter" class="seeAllLink">See cards from all expansions</a></td></tr></tbody></table></div><div class="prodDetails-info block"><h3 class="m-0">Product Availability</h3><div class="infoBlock"><table class="availTable"><tbody><tr class="row_Even row_0"><td class="outerTop outerLeft col_Even col_0 cell_0_0">Available items:</td><td class="outerTop outerRight col_Odd col_1 cell_0_1"><span>400</span></td></tr><tr class="row_Odd row_1"><td class="outerLeft col_Even col_0 cell_1_0">From (EX+):</td><td class="outerRight col_Odd col_1 cell_1_1"><span>0,02</span><span> €</span></td></tr><tr class="row_Even row_2"><td class="outerBottom outerLeft col_Even col_0 cell_2_0">Price Trend:</td><td class="outerBottom outerRight col_Odd col_1 cell_2_1">0,12 €</td></tr></tbody></table></div></div></div></div></div><div class="MKMBlockFooter brad0033 skmgrad"></div><div class="mt-40"><form method="POST" id="articleFilterForm" action="/Products/Singles/Fifth+Edition/Abyssal+Specter"><table class="MKMTable fullWidth"><thead><tr class="centered"><th class="centered">Filter</th><th class="centered"><div><span class="mr-5 vAlignMiddle">Sellers</span><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Use the CTRL key to select or deselect an option')" onmouseout="hideMsgBox()"></span></div></th><th class="centered"><div><span class="mr-5 vAlignMiddle">Languages</span><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Use the CTRL key to select or deselect an option')" onmouseout="hideMsgBox()"></span></div></th><th class="centered"><div><span class="mr-5 vAlignMiddle">Condition</span><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Use the CTRL key to select or deselect an option')" onmouseout="hideMsgBox()"></span></div></th><th class="centered">Foil?</th><th class="centered">Signed?</th><th class="centered">Altered?</th><th class="centered">Amount</th><th class="centered"></th></tr></thead><tbody><tr class="centered"><td class="centered"><div><div class="vAlignParent"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -224px -64px;" class="icon mr-2" onmouseover="showMsgBox(this,'Private')" onmouseout="hideMsgBox()"></span><input type="checkbox" name="productFilter[sellerStatus0]" checked="true"></div><div class="vAlignParent"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon mr-2" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span><input type="checkbox" name="productFilter[sellerStatus1]" checked="true"></div><div class="vAlignParent"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -256px -64px;" class="icon mr-2" onmouseover="showMsgBox(this,'Powerseller')" onmouseout="hideMsgBox()"></span><input type="checkbox" name="productFilter[sellerStatus2]" checked="true"></div></div></td><td class="centered"><select name="productFilter[sellerRatings][]" size="4" multiple="true"><option value="1">Outstanding seller</option><option value="2">Very good seller</option><option value="3">Good seller</option><option value="4">Average seller</option><option value="5">Bad seller</option></select></td><td class="centered"><select name="productFilter[idLanguage][]" size="4" multiple="true"><option value="1">English</option><option value="2">French</option><option value="3">German</option><option value="4">Spanish</option><option value="5">Italian</option><option value="6">S-Chinese</option><option value="7">Japanese</option><option value="8">Portuguese</option><option value="9">Russian</option><option value="10">Korean</option><option value="11">T-Chinese</option></select></td><td class="centered"><select name="productFilter[condition][]" size="4" multiple="true"><option value="MT">Mint</option><option value="NM">Near Mint</option><option value="EX">Excellent</option><option value="GD">Good</option><option value="LP">Light Played</option><option value="PL">Played</option><option value="PO">Poor</option></select></td><td class="centered"><select name="productFilter[isFoil]" size="1" autocomplete="off"><option value="0">No Preference</option><option value="Y">Yes</option><option value="N">No</option></select></td><td class="centered"><select name="productFilter[isSigned]" size="1" autocomplete="off"><option value="0">No Preference</option><option value="Y">Yes</option><option value="N">No</option></select></td><td class="centered"><select name="productFilter[isAltered]" size="1" autocomplete="off"><option value="0">No Preference</option><option value="Y">Yes</option><option value="N">No</option></select></td><td class="centered"><input type="text" name="productFilter[minAmount]" size="2"></td><td class="centered"><input type="submit" value="Filter"></td></tr></tbody><tfoot><tr class="centered"><td colspan="9" class="centered"></td></tr></tfoot></table></form></div><table class="MKMTable fullWidth mt-40"><thead><tr><th class="col_icon">Seller</th><th class="col_icon">Language</th><th class="col_icon">Condition</th><th>Extra</th><th class="fullWidth">Comments</th><th class="col_price">Price</th><th class="col_icon">Avail.</th><th class="col_icon">Buy</th></tr></thead><tbody id="articlesTable"><tr class="dividerRow" id="articleTableDividerRow"><td colspan="0"></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'313 Sales | 702 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">313</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -866px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Slovenia')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Sklix">Sklix</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288138161"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'280 Sales | 6051 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">280</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Lafiria">Lafiria</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -80px;" class="icon" onmouseover="showMsgBox(this,'Portuguese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price266921390"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'89 Sales | 758 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">89</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/mcout">mcout</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price184743364"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'9494 Sales | 72655 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">9<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/PlayerSpot">PlayerSpot</a></span><span class="horListItem horListItem-r proFaded"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -80px;" class="icon" onmouseover="showMsgBox(this,'Portuguese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price273163291"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'2493 Sales | 10653 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">2<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Spouitch">Spouitch</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price239531495"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'206 Sales | 4971 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">206</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Pacurro">Pacurro</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -112px -80px;" class="icon" onmouseover="showMsgBox(this,'Spanish')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price190518608"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'111 Sales | 917 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">111</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Kowalskky">Kowalskky</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -112px -80px;" class="icon" onmouseover="showMsgBox(this,'Spanish')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price225840931"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">3</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'1169 Sales | 5453 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">1<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Tyze2111">Tyze2111</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price233351920"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'837 Sales | 15678 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">837</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/berjackie">berjackie</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>V (fifth edition)</td><td class="st_price"><div id="price235616501"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'549 Sales | 24735 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">549</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/zelgor">zelgor</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -80px;" class="icon" onmouseover="showMsgBox(this,'Portuguese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price171484906"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'242 Sales | 118 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">242</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/thewoerp">thewoerp</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>rand ist stark verschmutzt.</td><td class="st_price"><div id="price88458769"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'173 Sales | 137 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">173</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/maekjubae">maekjubae</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price142832061"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'161 Sales | 2969 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">161</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/ricrodrigues83">ricrodrigues83</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -80px;" class="icon" onmouseover="showMsgBox(this,'Portuguese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>shipping fast!!</td><td class="st_price"><div id="price54883640"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'93 Sales | 741 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">93</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/alexjoil">alexjoil</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -112px -80px;" class="icon" onmouseover="showMsgBox(this,'Spanish')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price274883487"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'62 Sales | 71 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">62</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/gismo1234">gismo1234</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>Scans gerne auf Anfrage</td><td class="st_price"><div id="price4971937"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'916 Sales | 13134 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">916</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/biogenethik">biogenethik</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -80px;" class="icon" onmouseover="showMsgBox(this,'Portuguese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -128px -64px;" class="icon" onmouseover="showMsgBox(this,'Light Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price220294572"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'344 Sales | 17125 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">344</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/L7D-GET-MAGIC">L7D-GET-MAGIC</a></span><span class="horListItem horListItem-r proFaded"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -80px;" class="icon" onmouseover="showMsgBox(this,'Portuguese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -128px -64px;" class="icon" onmouseover="showMsgBox(this,'Light Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price165996879"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'153 Sales | 8524 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">153</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/LupaShiva">LupaShiva</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -80px;" class="icon" onmouseover="showMsgBox(this,'Portuguese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -128px -64px;" class="icon" onmouseover="showMsgBox(this,'Light Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price153785559"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'148 Sales | 4264 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">148</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/redempter59">redempter59</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -128px -64px;" class="icon" onmouseover="showMsgBox(this,'Light Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price280349103"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'100 Sales | 524 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">100</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/BenSale">BenSale</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -128px -64px;" class="icon" onmouseover="showMsgBox(this,'Light Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price14622742"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'2419 Sales | 49948 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">2<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/SetzerG">SetzerG</a></span><span class="horListItem horListItem-r proFaded"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -160px -64px;" class="icon" onmouseover="showMsgBox(this,'Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price255136493"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'75 Sales | 143 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">75</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/MetzGer-Kontroll">MetzGer-Kontroll</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -192px -64px;" class="icon" onmouseover="showMsgBox(this,'Poor')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>look at my other cards</td><td class="st_price"><div id="price245757538"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'759 Sales | 3196 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">759</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Gnislew">Gnislew</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price251398183"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'1755 Sales | 4701 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">1<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/daxware">daxware</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -112px -80px;" class="icon" onmouseover="showMsgBox(this,'Spanish')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>EX+</td><td class="st_price"><div id="price233649550"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'125 Sales | 2274 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">125</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/guion">guion</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -112px -80px;" class="icon" onmouseover="showMsgBox(this,'Spanish')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price121802942"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'526 Sales | 20043 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">526</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -322px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Belgium')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Godertai">Godertai</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price286708131"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'78 Sales | 9052 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">78</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/guildb1">guildb1</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -80px;" class="icon" onmouseover="showMsgBox(this,'Portuguese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price255243384"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'486 Sales | 22820 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">486</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Darktyraels">Darktyraels</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -112px -80px;" class="icon" onmouseover="showMsgBox(this,'Spanish')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -160px -64px;" class="icon" onmouseover="showMsgBox(this,'Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price234405469"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'62 Sales | 71 nbsp;Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">62</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/gismo1234">gismo1234</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>Scans gerne auf Anfrage</td><td class="st_price"><div id="price4971926"><div class="algn-r nowrap">0,04 €</div></div></td><td class="st_ItemCount centered">3</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'9 Sales | 32 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">9</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Sanfte-Feder">Sanfte-Feder</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price39952719"><div class="algn-r nowrap">0,04 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'27 Sales | 805 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">27</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Cedor">Cedor</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -128px -64px;" class="icon" onmouseover="showMsgBox(this,'Light Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price251700925"><div class="algn-r nowrap">0,04 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'1224 Sales | 783 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">1<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Schlumpf">Schlumpf</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -208px -80px;" class="icon" onmouseover="showMsgBox(this,'Japanese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -0px -64px;" class="icon" onmouseover="showMsgBox(this,'Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -208px -16px;" class="icon st_SpecialIcon" onmouseover="showMsgBox(this,'Playset')" onmouseout="hideMsgBox()"></span></td><td></td><td class="st_price"><div id="price191082939"><div class="algn-r nowrap">0,20 €</div><div class="microFont c-k6 f-w400 f-sIta nowrap">(PPU: 0,05 €)</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'1454 Sales | 2441 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">1<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/jester">jester</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>Versand nach Geldeingang innerhalb eines Werktages</td><td class="st_price"><div id="price224937472"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">3</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'361 Sales | 438 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">361</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/m0rph">m0rph</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -112px -80px;" class="icon" onmouseover="showMsgBox(this,'Spanish')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price136432351"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'303 Sales | 2778 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">303</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/axgaleote">axgaleote</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price225837965"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'139 Sales | 17886 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">139</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Zlibadahu">Zlibadahu</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288118544"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'49 Sales | 9598 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">49</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/fernandisco">fernandisco</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price277517720"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'27 Sales | 485 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">27</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/NORRITT">NORRITT</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price179091479"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'7061 Sales | 17427 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">7<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/haleyxandrea12">haleyxandrea12</a></span><span class="horListItem horListItem-r proFaded"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price197528025"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'3613 Sales | 50839 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">3<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/jesusfreak">jesusfreak</a></span><span class="horListItem horListItem-r proFaded"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price254594523"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'521 Sales | 26144 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">521</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/MelanieMTG">MelanieMTG</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287523460"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'1230 Sales | 26513 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">1<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/mkmpsr">mkmpsr</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -80px;" class="icon" onmouseover="showMsgBox(this,'Portuguese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>Check my other cards</td><td class="st_price"><div id="price257010154"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'18 Sales | 4628 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">18</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/JorgeATM">JorgeATM</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -80px;" class="icon" onmouseover="showMsgBox(this,'Portuguese')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -64px;" class="icon" onmouseover="showMsgBox(this,'Good')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>Back LP</td><td class="st_price"><div id="price254897850"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'5789 Sales | 18138 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">5<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/sboemble">sboemble</a></span><span class="horListItem horListItem-r proFaded"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -128px -64px;" class="icon" onmouseover="showMsgBox(this,'Light Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price156658296"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'4884 Sales | 30861 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">4<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -322px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Belgium')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/tino01">tino01</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -128px -64px;" class="icon" onmouseover="showMsgBox(this,'Light Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price156453968"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'2138 Sales | 12454 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">2<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/mkmonline">mkmonline</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -128px -64px;" class="icon" onmouseover="showMsgBox(this,'Light Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price82004869"><div class="algn-r nowrap">0,05 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'31 Sales | 456 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">31</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Hammurabi">Hammurabi</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -80px;" class="icon" onmouseover="showMsgBox(this,'German')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price172163264"><div class="algn-r nowrap">0,06 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'5400 Sales | 52011 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">5<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Karks">Karks</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -128px -64px;" class="icon" onmouseover="showMsgBox(this,'Light Played')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price52637962"><div class="algn-r nowrap">0,06 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'488 Sales | 1563 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">488</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Roembke">Roembke</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price93064397"><div class="algn-r nowrap">0,07 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'635 Sales | 34389 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">635</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/zeuspy">zeuspy</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -48px -80px;" class="icon" onmouseover="showMsgBox(this,'French')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>looks nm</td><td class="st_price"><div id="price258756665"><div class="algn-r nowrap">0,07 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr></tbody><tfoot><tr><td colspan="8"></td></tr></tfoot></table><form method="POST" name="moreArticlesForm"><input type="hidden" name="page" value="1" autocomplete="off"><input type="hidden" name="status" value="1" autocomplete="off"><input type="hidden" name="resultChunks" value="50"><input type="hidden" name="totalResults" value="210"></form><div class="centered" id="moreDiv" onclick="if( moreArticlesForm.status.value == 1) { moreArticlesForm.status.value = 0; 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width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon"></span><h1 class="c-w nameHeader" itemprop="name">Abyssal Specter (Modern Masters 2017)</h1></div><a id="showcase-hide" class="fl-r" onclick="switchElements('showcase-show','showcase-hide'),hideBlockElement('imgDiv'), hideBlockElement('prodAccordion'), showBlockElement('imgDiv-collapsed'), showBlockElement('prodAccordion-collapsed'),document.getElementById('prodImageId').className += ' prodImage-collapsed'; jcp('s%7Dz%7FfGPDd%5DMNRRZM%05z%00%08%02%1C%11%29+%2F%25%2F%18%24%229%2C1%227%05%3D0%21%2A%2A%2A','','',false)" style="cursor: pointer; border: none; padding-right: 2px;"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -48px;" class="icon"></span></a><a id="showcase-show" class="fl-r hiddenBlock" onclick="switchElements('showcase-hide','showcase-show'), hideBlockElement('imgDiv-collapsed'), hideBlockElement('prodAccordion-collapsed'), showBlockElement('imgDiv'), showBlockElement('prodAccordion'),document.getElementById('prodImageId').className = 'prodImage'; jcp('s%7Dz%7FfGPDd%5DMNRRZM%05z%00%08%02%1C%11%29+%2F%25%2F%18%24%229%2C1%227%05%3D0%21%2A%2A%2A','','',false)" style="cursor: pointer; border: none; padding-right: 2px;"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -48px;" class="icon"></span></a></div><div class="MKMBlockContent clearfix"><div class="fl-l MKMBlock prodimg-block algn-c bg-w" id="imgDiv"><div class="trans trans-delay" id="prodimg-slideshow"><div class="slideshow-img"><img src="/img/bd090ef4aca7648f3aff35fc9ecfe302/cards/Modern_Masters_2017/wingcrafter.jpg" alt="Wingcrafter" id="prodImageId" class="prodImage" itemprop="image"></div><a href="/Products/Singles/Modern+Masters+2017/Wingcrafter" onmouseout="prodimgAnimate();" onmouseover="prodimgAnimate('prev');" id="prodimg-prev"><span id="prev" class="slideshow-btn prev brad0330 trans"><span class="prevtriangle"></span></span></a><div class="slideshow-img"><img src="/img/88ad8ce78938a6fc4fa1c5106f58c64d/cards/Modern_Masters_2017/abyssal_specter.jpg" alt="Abyssal Specter" id="prodImageId" class="prodImage" itemprop="image"></div><div class="slideshow-img"><img src="/img/bd090ef4aca7648f3aff35fc9ecfe302/cards/Modern_Masters_2017/bone_splinters.jpg" alt="Bone Splinters" id="prodImageId" class="prodImage" itemprop="image"></div><a href="/Products/Singles/Modern+Masters+2017/Bone+Splinters" onmouseout="prodimgAnimate();" onmouseover="prodimgAnimate('next');" id="prodimg-next"><span id="next" class="slideshow-btn next brad3003 trans"><span class="nexttriangle"></span></span></a></div></div><div class="fl-l MKMBlock prodimg-block algn-c bg-w hiddenBlock" id="imgDiv-collapsed"><img src="/img/88ad8ce78938a6fc4fa1c5106f58c64d/cards/Modern_Masters_2017/abyssal_specter.jpg" alt="Abyssal Specter" id="prodImageId" class="prodImage prodImage-collapsed" itemprop="image"></div><div class="fl-r MKMBlock prodacc-block brd-w" id="prodAccordion"><div class="skm-accordion horizontal"><section onclick="sp_sectionClick(this)" id="ProductInformation" class="fl-l openSection"><h2><div class="block" onclick="jcp('p%60ebeBWAgPBCQW%5DH%06%07%7Fu%01%19%11%260%01%23%21%29%3C%26%3F%1C%2C+%2A%3C%2A%2A%2A'+encodeURI(1),'','',false)"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -68px;" class="icon"></span>Product Information</div></h2><div class="sectioncontent"><div class="prodDetails"><table class="infoTableSingles"><tbody><tr class="row_Even row_0"><td class="outerTop outerLeft col_Even col_0 cell_0_0">Rarity:</td><td class="outerTop outerRight col_Odd col_1 cell_0_1"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/6b44902d8f465cbeb51dbe278e802889/spriteSheets/ssRarity/ssRarity1.png'); background-position: -128px -0px;" class="icon" onmouseover="showMsgBox(this,'Uncommon')" onmouseout="hideMsgBox()"></span></td></tr><tr class="row_Odd row_1"><td class="outerLeft col_Even col_0 cell_1_0">Number:</td><td class="outerRight col_Odd col_1 cell_1_1">59</td></tr><tr class="row_Even row_2"><td class="outerBottom outerLeft col_Even col_0 cell_2_0">Printed in:</td><td class="outerBottom outerRight col_Odd col_1 cell_2_1"><div class="expansionsBox"><a href="/Products/Singles/Modern+Masters+2017/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -84px -819px;" onmouseover="setAndShowImgBox(this,'/img/88ad8ce78938a6fc4fa1c5106f58c64d/cards/Modern_Masters_2017/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Modern Masters 2017)"></span></a><a href="/Products/Singles/Duel+Decks%3A+Anthology/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -189px -525px;" onmouseover="setAndShowImgBox(this,'/img/8bdd236c8599b2946043b9c52f13fc65/cards/Duel_Decks_Anthology/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duel Decks: Anthology)"></span></a><a href="/Products/Singles/Salvat-Hachette+2011/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -21px -378px;" onmouseover="setAndShowImgBox(this,'/img/54eb7e8039d096abaf38715e653eb4b9/cards/Salvat_Hachette_2011/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Salvat-Hachette 2011)"></span></a><a href="/Products/Singles/Duels+of+the+Planeswalkers+Decks/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -126px -315px;" onmouseover="setAndShowImgBox(this,'/img/e21042e4600a6da25401442d286d9881/cards/Duels_of_the_Planeswalkers_Decks/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duels of the Planeswalkers Decks)"></span></a><a href="/Products/Singles/Duel+Decks%3A+Divine+vs.+Demonic/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -84px -210px;" onmouseover="setAndShowImgBox(this,'/img/8dca40979a082f87addea7319206768c/cards/Duel_Decks_Divine_vs._Demonic/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duel Decks: Divine vs. Demonic)"></span></a><a href="/Products/Singles/Eighth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -42px -84px;" onmouseover="setAndShowImgBox(this,'/img/75858fe85289ce3dcbb62e5e80297fde/cards/Eighth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Eighth Edition)"></span></a><a href="/Products/Singles/Deckmasters/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -105px -126px;" onmouseover="setAndShowImgBox(this,'/img/29a7e2987900c184880ffbafec1954a7/cards/Deckmasters/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Deckmasters)"></span></a><a href="/Products/Singles/Seventh+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -105px -63px;" onmouseover="setAndShowImgBox(this,'/img/36cb5ec897f35cb258c15c96c909d38a/cards/Seventh_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Seventh Edition)"></span></a><a href="/Products/Singles/Battle+Royale/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -42px -126px;" onmouseover="setAndShowImgBox(this,'/img/59b9471cdfb33c7408a97db9c0cb27d5/cards/Battle_Royale/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Battle Royale)"></span></a><a href="/Products/Singles/Sixth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -147px -42px;" onmouseover="setAndShowImgBox(this,'/img/e49adf7550a06ffbeec2e9bef353e4ae/cards/Sixth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Sixth Edition)"></span></a><a href="/Products/Singles/Fifth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -21px -42px;" onmouseover="setAndShowImgBox(this,'/img/a5aefa830e28fbb2ded382425e1ebaff/cards/Fifth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Fifth Edition)"></span></a><a href="/Products/Singles/Ice+Age/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -0px -21px;" onmouseover="setAndShowImgBox(this,'/img/51710551ba6e174d6ae82a7aac2bf340/cards/Ice_Age/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Ice Age)"></span></a></div><a href="/Cards/Abyssal+Specter" class="seeAllLink">See cards from all expansions</a></td></tr></tbody></table><h3>Product Availability</h3><div class="infoBlock" itemprop="offerDetails" itemscope="itemscope" itemtype="http://data-vocabulary.org/Offer-aggregate"><table class="availTable"><tbody><tr class="row_Even row_0"><td class="outerTop outerLeft col_Even col_0 cell_0_0">Available items:</td><td class="outerTop outerRight col_Odd col_1 cell_0_1"><span itemprop="offerCount">1885</span></td></tr><tr class="row_Odd row_1"><td class="outerLeft col_Even col_0 cell_1_0">From (EX+):</td><td class="outerRight col_Odd col_1 cell_1_1"><span itemprop="lowPrice">0,01</span><meta itemprop="currency" content="EUR"><span> €</span></td></tr><tr class="row_Even row_2"><td class="outerLeft col_Even col_0 cell_2_0">Price Trend:</td><td class="outerRight col_Odd col_1 cell_2_1">0,07 €</td></tr><tr class="row_Odd row_3"><td class="outerLeft col_Even col_0 cell_3_0">Available foils:</td><td class="outerRight col_Odd col_1 cell_3_1">147</td></tr><tr class="row_Even row_4"><td class="outerBottom outerLeft col_Even col_0 cell_4_0">Foils from:</td><td class="outerBottom outerRight col_Odd col_1 cell_4_1">0,05 €</td></tr></tbody></table></div><h3>Rules Text</h3><div class="infoBlock rulesBlock" itemprop="description">Flying<br />
<br />
Whenever Abyssal Specter deals damage to a player, that player discards a card.</div></div><div style="float:right; padding: 0px; margin: 0px;;"><div id="nonfoil"><div class="statsChart" id="chartCanvas29584958ed243c6f8fd" style="position: relative;"><canvas id="prodChart29584958ed243c6f8fd" width="250" height="220"></canvas><div id="chartLegend29584958ed243c6f8fd" style="display: block; background-color: white"></div></div><script type="text/javascript" charset="UTF-8">var chartOptions ={"animation":false,"scaleFontSize":8,"scaleShowLabels":true,"skipLabels":true,"scaleLabel":"<%=\' \'+value+\' \u20ac\'%>","scaleIntegersOnly":false,"scaleShowGridLines":true,"scaleGridLineColor":"rgba(0,0,0,.05)","scaleGridLineWidth":1,"scaleShowHorizontalLines":true,"scaleShowVerticalLines":true,"bezierCurve":true,"bezierCurveTension":0.3,"pointDot":true,"pointDotRadius":1,"pointDotStrokeWidth":0,"pointHitDetectionRadius":2,"datasetStroke":true,"datasetStrokeWidth":1,"datasetFill":false,"multiTooltipTemplate":"<%= value.toFixed(2)+\' \u20ac\'%>","legendTemplate":"<ul style=\"padding: 0 0 0 0; margin: 0 9px 0 18px;\"><% for (var i=0; i<datasets.length; i++){%><li style=\"padding: 0 0 0 0; margin: 0 0 0 0; color:<%=datasets[i].strokeColor%>\"><%if(datasets[i].label){%><%=datasets[i].label%><%}%><\/li><%}%><\/ul>"};var chartData ={"labels":["06.03.17","08.03.17","11.03.17","14.03.17","15.03.17","16.03.17","17.03.17","19.03.17","20.03.17","21.03.17","22.03.17","23.03.17","24.03.17","25.03.17","26.03.17","27.03.17","28.03.17","30.03.17","31.03.17","01.04.17","02.04.17","03.04.17","05.04.17","07.04.17","08.04.17","09.04.17","10.04.17"],"datasets":[{"label":"Avg. 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Sell Price","strokeColor":"rgba(1,33,105,1)","pointColor":"rgba(1,33,105,1)","pointStrokeColor":"rgba(1,33,105,1)","pointHighlightStroke":"rgba(1,33,105,1)","data":[0.25,0.23,0.16,0.19,0.29,0.15,0.15,0.09,0.05,0.1,0.25,0.24,0.23,0.1]},{"label":"Price Trend","strokeColor":"rgba(151,187,205,1)","pointColor":"rgba(151,187,205,1)","pointStrokeColor":"rgba(151,187,205,1)","pointHighlightStroke":"rgba(151,187,205,1)","data":[0.20742857142857,0.20276923076923,0.19810989010989,0.19345054945055,0.18879120879121,0.18413186813187,0.17947252747253,0.17481318681319,0.17015384615385,0.16549450549451,0.16083516483516,0.15617582417582,0.15151648351648,0.14685714285714]}]};var ctx = document.getElementById("prodChart29584958ed243c6f9bc").getContext("2d"); var myLineChart = new Chart(ctx).Line(chartData, chartOptions);document.getElementById("chartLegend29584958ed243c6f9bc").innerHTML = myLineChart.generateLegend();</script></div><div style="text-align: center; align: middle; font-weight: normal;"><div class="vAlignParent"><span class="p-2"><input type="radio" name="graph" value="nonfoil" checked="checked" onclick="changeGraph('nonfoil');"> Non-Foil Chart </span><span class="p-2"><input type="radio" name="graph" value="foil" onclick="changeGraph('foil');"> Foil Chart </span></div></div></div></div></section><section onclick="sp_sectionClick(this)" id="0Comments" class="fl-l"><h2><div class="block" onclick="jcp('p%60ebeBWAgPBCQW%5DH%06%07%7Fu%01%19%11%260%01%23%21%29%3C%26%3F%1C%2C+%2A%3C%2A%2A%2A'+encodeURI(4),'','',false)"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -530px -68px;" class="icon"></span>0 Comments</div></h2><div class="sectioncontent"><div class="p-10" id="commentsWrapper"><p class="warn algn-c">No user has commented this product yet <span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Please note that the current language of the site is set to English<br>This product might have been commented in other languages.')" onmouseout="hideMsgBox()"></span></p></div></div></section></div></div><div class="fl-r MKMBlock prodacc-block brd-w content hiddenBlock" id="prodAccordion-collapsed"><div class="prodDetails-collapsed block"><div class="prodDetails-info block"><h3 class="m-0">Product Information</h3><table class="infoTable m-0"><tbody><tr class="row_Even row_0"><td class="outerTop outerLeft col_Even col_0 cell_0_0">Rarity:</td><td class="outerTop outerRight col_Odd col_1 cell_0_1"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/6b44902d8f465cbeb51dbe278e802889/spriteSheets/ssRarity/ssRarity1.png'); background-position: -128px -0px;" class="icon" onmouseover="showMsgBox(this,'Uncommon')" onmouseout="hideMsgBox()"></span></td></tr><tr class="row_Odd row_1"><td class="outerLeft col_Even col_0 cell_1_0">Number:</td><td class="outerRight col_Odd col_1 cell_1_1">59</td></tr><tr class="row_Even row_2"><td class="outerBottom outerLeft col_Even col_0 cell_2_0">Printed in:</td><td class="outerBottom outerRight col_Odd col_1 cell_2_1"><div class="expansionsBox"><a href="/Products/Singles/Modern+Masters+2017/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -84px -819px;" onmouseover="setAndShowImgBox(this,'/img/88ad8ce78938a6fc4fa1c5106f58c64d/cards/Modern_Masters_2017/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Modern Masters 2017)"></span></a><a href="/Products/Singles/Duel+Decks%3A+Anthology/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -189px -525px;" onmouseover="setAndShowImgBox(this,'/img/8bdd236c8599b2946043b9c52f13fc65/cards/Duel_Decks_Anthology/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duel Decks: Anthology)"></span></a><a href="/Products/Singles/Salvat-Hachette+2011/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -21px -378px;" onmouseover="setAndShowImgBox(this,'/img/54eb7e8039d096abaf38715e653eb4b9/cards/Salvat_Hachette_2011/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Salvat-Hachette 2011)"></span></a><a href="/Products/Singles/Duels+of+the+Planeswalkers+Decks/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -126px -315px;" onmouseover="setAndShowImgBox(this,'/img/e21042e4600a6da25401442d286d9881/cards/Duels_of_the_Planeswalkers_Decks/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duels of the Planeswalkers Decks)"></span></a><a href="/Products/Singles/Duel+Decks%3A+Divine+vs.+Demonic/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -84px -210px;" onmouseover="setAndShowImgBox(this,'/img/8dca40979a082f87addea7319206768c/cards/Duel_Decks_Divine_vs._Demonic/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Duel Decks: Divine vs. Demonic)"></span></a><a href="/Products/Singles/Eighth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -42px -84px;" onmouseover="setAndShowImgBox(this,'/img/75858fe85289ce3dcbb62e5e80297fde/cards/Eighth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Eighth Edition)"></span></a><a href="/Products/Singles/Deckmasters/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -105px -126px;" onmouseover="setAndShowImgBox(this,'/img/29a7e2987900c184880ffbafec1954a7/cards/Deckmasters/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Deckmasters)"></span></a><a href="/Products/Singles/Seventh+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -105px -63px;" onmouseover="setAndShowImgBox(this,'/img/36cb5ec897f35cb258c15c96c909d38a/cards/Seventh_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Seventh Edition)"></span></a><a href="/Products/Singles/Battle+Royale/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -42px -126px;" onmouseover="setAndShowImgBox(this,'/img/59b9471cdfb33c7408a97db9c0cb27d5/cards/Battle_Royale/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Battle Royale)"></span></a><a href="/Products/Singles/Sixth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -147px -42px;" onmouseover="setAndShowImgBox(this,'/img/e49adf7550a06ffbeec2e9bef353e4ae/cards/Sixth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Sixth Edition)"></span></a><a href="/Products/Singles/Fifth+Edition/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -21px -42px;" onmouseover="setAndShowImgBox(this,'/img/a5aefa830e28fbb2ded382425e1ebaff/cards/Fifth_Edition/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Fifth Edition)"></span></a><a href="/Products/Singles/Ice+Age/Abyssal+Specter" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/9d7c781eb2c0dbc6ca33d5273651af4e/expansionicons/expicons.png'); background-position: -0px -21px;" onmouseover="setAndShowImgBox(this,'/img/51710551ba6e174d6ae82a7aac2bf340/cards/Ice_Age/abyssal_specter.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Abyssal Specter (Ice Age)"></span></a></div><a href="/Cards/Abyssal+Specter" class="seeAllLink">See cards from all expansions</a></td></tr></tbody></table></div><div class="prodDetails-info block"><h3 class="m-0">Product Availability</h3><div class="infoBlock"><table class="availTable"><tbody><tr class="row_Even row_0"><td class="outerTop outerLeft col_Even col_0 cell_0_0">Available items:</td><td class="outerTop outerRight col_Odd col_1 cell_0_1"><span>1885</span></td></tr><tr class="row_Odd row_1"><td class="outerLeft col_Even col_0 cell_1_0">From (EX+):</td><td class="outerRight col_Odd col_1 cell_1_1"><span>0,01</span><span> €</span></td></tr><tr class="row_Even row_2"><td class="outerLeft col_Even col_0 cell_2_0">Price Trend:</td><td class="outerRight col_Odd col_1 cell_2_1">0,07 €</td></tr><tr class="row_Odd row_3"><td class="outerLeft col_Even col_0 cell_3_0">Available foils:</td><td class="outerRight col_Odd col_1 cell_3_1">147</td></tr><tr class="row_Even row_4"><td class="outerBottom outerLeft col_Even col_0 cell_4_0">Foils from:</td><td class="outerBottom outerRight col_Odd col_1 cell_4_1">0,05 €</td></tr></tbody></table></div></div></div></div></div><div class="MKMBlockFooter brad0033 skmgrad"></div><div class="mt-40"><form method="POST" id="articleFilterForm" action="/Products/Singles/Modern+Masters+2017/Abyssal+Specter"><table class="MKMTable fullWidth"><thead><tr class="centered"><th class="centered">Filter</th><th class="centered"><div><span class="mr-5 vAlignMiddle">Sellers</span><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Use the CTRL key to select or deselect an option')" onmouseout="hideMsgBox()"></span></div></th><th class="centered"><div><span class="mr-5 vAlignMiddle">Languages</span><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Use the CTRL key to select or deselect an option')" onmouseout="hideMsgBox()"></span></div></th><th class="centered"><div><span class="mr-5 vAlignMiddle">Condition</span><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Use the CTRL key to select or deselect an option')" onmouseout="hideMsgBox()"></span></div></th><th class="centered">Foil?</th><th class="centered">Signed?</th><th class="centered">Altered?</th><th class="centered">Amount</th><th class="centered"></th></tr></thead><tbody><tr class="centered"><td class="centered"><div><div class="vAlignParent"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -224px -64px;" class="icon mr-2" onmouseover="showMsgBox(this,'Private')" onmouseout="hideMsgBox()"></span><input type="checkbox" name="productFilter[sellerStatus0]" checked="true"></div><div class="vAlignParent"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon mr-2" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span><input type="checkbox" name="productFilter[sellerStatus1]" checked="true"></div><div class="vAlignParent"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -256px -64px;" class="icon mr-2" onmouseover="showMsgBox(this,'Powerseller')" onmouseout="hideMsgBox()"></span><input type="checkbox" name="productFilter[sellerStatus2]" checked="true"></div></div></td><td class="centered"><select name="productFilter[sellerRatings][]" size="4" multiple="true"><option value="1">Outstanding seller</option><option value="2">Very good seller</option><option value="3">Good seller</option><option value="4">Average seller</option><option value="5">Bad seller</option></select></td><td class="centered"><select name="productFilter[idLanguage][]" size="4" multiple="true"><option value="1">English</option><option value="2">French</option><option value="3">German</option><option value="4">Spanish</option><option value="5">Italian</option><option value="6">S-Chinese</option><option value="7">Japanese</option><option value="8">Portuguese</option><option value="9">Russian</option><option value="10">Korean</option><option value="11">T-Chinese</option></select></td><td class="centered"><select name="productFilter[condition][]" size="4" multiple="true"><option value="MT">Mint</option><option value="NM">Near Mint</option><option value="EX">Excellent</option><option value="GD">Good</option><option value="LP">Light Played</option><option value="PL">Played</option><option value="PO">Poor</option></select></td><td class="centered"><select name="productFilter[isFoil]" size="1" autocomplete="off"><option value="0">No Preference</option><option value="Y">Yes</option><option value="N">No</option></select></td><td class="centered"><select name="productFilter[isSigned]" size="1" autocomplete="off"><option value="0">No Preference</option><option value="Y">Yes</option><option value="N">No</option></select></td><td class="centered"><select name="productFilter[isAltered]" size="1" autocomplete="off"><option value="0">No Preference</option><option value="Y">Yes</option><option value="N">No</option></select></td><td class="centered"><input type="text" name="productFilter[minAmount]" size="2"></td><td class="centered"><input type="submit" value="Filter"></td></tr></tbody><tfoot><tr class="centered"><td colspan="9" class="centered"></td></tr></tfoot></table></form></div><table class="MKMTable fullWidth mt-40"><thead><tr><th class="col_icon">Seller</th><th class="col_icon">Language</th><th class="col_icon">Condition</th><th>Extra</th><th class="fullWidth">Comments</th><th class="col_price">Price</th><th class="col_icon">Avail.</th><th class="col_icon">Buy</th></tr></thead><tbody id="articlesTable"><tr class="dividerRow" id="articleTableDividerRow"><td colspan="0"></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'410 Sales | 701 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">410</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -514px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: United Kingdom')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/xenesaltones">xenesaltones</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -208px -16px;" class="icon st_SpecialIcon" onmouseover="showMsgBox(this,'Playset')" onmouseout="hideMsgBox()"></span></td><td></td><td class="st_price"><div id="price289155727"><div class="algn-r nowrap">0,05 €</div><div class="microFont c-k6 f-w400 f-sIta nowrap">(PPU: 0,013 €)</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'80 Sales | 841 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">80</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/sonofthesun">sonofthesun</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -208px -16px;" class="icon st_SpecialIcon" onmouseover="showMsgBox(this,'Playset')" onmouseout="hideMsgBox()"></span></td><td></td><td class="st_price"><div id="price289560886"><div class="algn-r nowrap">0,05 €</div><div class="microFont c-k6 f-w400 f-sIta nowrap">(PPU: 0,013 €)</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'87 Sales | 3084 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">87</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/KOLOPOLO">KOLOPOLO</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -0px -64px;" class="icon" onmouseover="showMsgBox(this,'Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288142298"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'9 Sales | 679 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">9</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Italy')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/MISTERTINE92">MISTERTINE92</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -0px -64px;" class="icon" onmouseover="showMsgBox(this,'Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>FROM BOOSTER TO SLEEVE</td><td class="st_price"><div id="price287981051"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'8234 Sales | 67665 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">8<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Dario-malaga">Dario-malaga</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288794295"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'3542 Sales | 479 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">3<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/juananbf">juananbf</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>See My Other Cards (p)</td><td class="st_price"><div id="price287879265"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'1821 Sales | 1735 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">1<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Italy')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/VARESE-MTG">VARESE-MTG</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288204261"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'1631 Sales | 11348 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">1<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/ACG88">ACG88</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289571901"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'1247 Sales | 1900 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">1<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/dysp">dysp</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287630514"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'1028 Sales | 16177 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">1<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/zheng">zheng</a></span><span class="horListItem horListItem-r proFaded"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>DAILY SHIPPING ---> FAST SERVICE<--- CARDS</td><td class="st_price"><div id="price287164153"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">3</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'978 Sales | 843 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">978</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -738px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Netherlands')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Snowcrash">Snowcrash</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289847182"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'943 Sales | 3411 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">943</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/youk772">youk772</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price290626474"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'869 Sales | 1884 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">869</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Italy')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/rikimcm">rikimcm</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>Best Price! Fast Shipping!</td><td class="st_price"><div id="price288320548"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'845 Sales | 2407 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">845</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Jupiter28">Jupiter28</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289074971"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'742 Sales | 7420 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">742</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Italy')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/xammer">xammer</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287755124"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">5</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'648 Sales | 697 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">648</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/belenos666">belenos666</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289498682"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'478 Sales | 6430 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">478</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/kar-el">kar-el</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287916259"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'465 Sales | 682 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">465</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/sigym1">sigym1</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289405297"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'391 Sales | 10944 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">391</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/lordkhan">lordkhan</a></span><span class="horListItem horListItem-r proFaded"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289449915"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'288 Sales | 1499 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">288</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/jontxuiba">jontxuiba</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287881996"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">2</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'285 Sales | 1386 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">285</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Ohnwuzla">Ohnwuzla</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288116228"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'272 Sales | 1694 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">272</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Pazzini">Pazzini</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287730070"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'153 Sales | 4998 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">153</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -306px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Austria')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/lorescale">lorescale</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289082401"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'152 Sales | 1521 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">152</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Shorek">Shorek</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287867629"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'123 Sales | 240 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">123</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Aryaroo">Aryaroo</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288387937"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">3</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'111 Sales | 307 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">111</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/puertorishadano">puertorishadano</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price290505742"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'107 Sales | 62 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">107</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Racka105">Racka105</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287782713"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'96 Sales | 302 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">96</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/zimbointown">zimbointown</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289436863"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'92 Sales | 6213 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">92</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -306px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Austria')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/luki198">luki198</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287810219"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'40 Sales | 3996 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">40</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/dantormento">dantormento</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288706695"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'34 Sales | 2456 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">34</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/alejandrosaenz">alejandrosaenz</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287579908"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'20 Sales | 937 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">20</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -882px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Slovakia')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/LaiLai">LaiLai</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price290395475"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'16 Sales | 408 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">16</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/kevin66">kevin66</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>fast shipping</td><td class="st_price"><div id="price289610340"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'14 Sales | 42 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">14</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Hardwer">Hardwer</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288767923"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'6 Sales | 327 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">6</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -418px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Germany')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Tikosh">Tikosh</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287875172"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'3 Sales | 1359 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">3</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/shinoby8">shinoby8</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price290348140"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'3 Sales | 63 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">3</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Serra1984">Serra1984</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288698872"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'2 Sales | 3879 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">2</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Fresy">Fresy</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price290569231"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'3565 Sales | 34237 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">3<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -322px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Belgium')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/leonin">leonin</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>get a FREE foil or rare for each order over 1 Euro</td><td class="st_price"><div id="price289382459"><div class="algn-r nowrap">0,02 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'1151 Sales | 823 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">1<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -402px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Czech Republic')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Temnystrelec">Temnystrelec</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -0px -64px;" class="icon" onmouseover="showMsgBox(this,'Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287760214"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'9494 Sales | 72655 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">9<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/PlayerSpot">PlayerSpot</a></span><span class="horListItem horListItem-r proFaded"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287684180"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">3</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'6115 Sales | 8203 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">6<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/termestino">termestino</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price288176123"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">3</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'2493 Sales | 10653 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">2<span class="f-w400 f-sIta">K</span></span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Spouitch">Spouitch</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287736294"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">3</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'547 Sales | 47682 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">547</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/SingleSectorMtg">SingleSectorMtg</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289417241"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'289 Sales | 1979 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">289</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: France')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Cymorile">Cymorile</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price287963271"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">3</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'233 Sales | 424 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">233</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/Rafa77">Rafa77</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>J</td><td class="st_price"><div id="price288312817"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'7 Sales | 3252 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">7</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Italy')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/masteruman">masteruman</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -32px -64px;" class="icon" onmouseover="showMsgBox(this,'Near Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289781866"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'547 Sales | 47682 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">547</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -786px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Portugal')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/SingleSectorMtg">SingleSectorMtg</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -64px;" class="icon" onmouseover="showMsgBox(this,'Excellent')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td></td><td class="st_price"><div id="price289417263"><div class="algn-r nowrap">0,03 €</div></div></td><td class="st_ItemCount centered">1</td><td class="centered"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -64px -16px;" class="icon" onmouseover="showMsgBox(this,'You have to be logged in to be able to buy items.')" onmouseout="hideMsgBox()"></span></td></tr><tr><td><span class="horList nowrap"><span class="horListItem" onmouseover="showMsgBox(this,'985 Sales | 4738 Available items')" onmouseout="hideMsgBox()"><span><span class="horListItem-sellCount">985</span></span></span><span class="horListItem"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -466px -20px;" class="icon" onmouseover="showMsgBox(this,'Item location: Spain')" onmouseout="hideMsgBox()"></span></span><span class="horListItem"><a href="/Users/xavi2fast4you">xavi2fast4you</a></span></span></td><td class="centered"><a href="/Help/Card_Language" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon" onmouseover="showMsgBox(this,'English')" onmouseout="hideMsgBox()"></span></a></td><td class="centered"><span><a href="/Help/Card_condition" class="noborder" target="_blank"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -0px -64px;" class="icon" onmouseover="showMsgBox(this,'Mint')" onmouseout="hideMsgBox()"></span></a></span></td><td class="centered nowrap"></td><td>NEVER PLAYED. 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width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -16px -80px;" class="icon"></span><h1 class="c-w nameHeader" itemprop="name">Wheel of Fortune (Collectors' Edition)</h1></div><a id="showcase-hide" class="fl-r" onclick="switchElements('showcase-show','showcase-hide'),hideBlockElement('imgDiv'), hideBlockElement('prodAccordion'), showBlockElement('imgDiv-collapsed'), showBlockElement('prodAccordion-collapsed'),document.getElementById('prodImageId').className += ' prodImage-collapsed'; jcp('s%7Dz%7FfGPDd%5DMNRRZM%05z%00%08%02%1C%11%29+%2F%25%2F%18%24%229%2C1%227%05%3D0%21%2A%2A%2A','','',false)" style="cursor: pointer; border: none; padding-right: 2px;"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -96px -48px;" class="icon"></span></a><a id="showcase-show" class="fl-r hiddenBlock" onclick="switchElements('showcase-hide','showcase-show'), hideBlockElement('imgDiv-collapsed'), hideBlockElement('prodAccordion-collapsed'), showBlockElement('imgDiv'), showBlockElement('prodAccordion'),document.getElementById('prodImageId').className = 'prodImage'; jcp('s%7Dz%7FfGPDd%5DMNRRZM%05z%00%08%02%1C%11%29+%2F%25%2F%18%24%229%2C1%227%05%3D0%21%2A%2A%2A','','',false)" style="cursor: pointer; border: none; padding-right: 2px;"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -80px -48px;" class="icon"></span></a></div><div class="MKMBlockContent clearfix"><div class="fl-l MKMBlock prodimg-block algn-c bg-w" id="imgDiv"><div class="trans trans-delay" id="prodimg-slideshow"><div class="slideshow-img"><img src="/img/7498236338660caf0fa0fac08b3b61a8/cards/Collectors_Edition/web.jpg" alt="Web" id="prodImageId" class="prodImage" itemprop="image"></div><a href="/Products/Singles/Collectors%27+Edition/Web" onmouseout="prodimgAnimate();" onmouseover="prodimgAnimate('prev');" id="prodimg-prev"><span id="prev" class="slideshow-btn prev brad0330 trans"><span class="prevtriangle"></span></span></a><div class="slideshow-img"><img src="/img/7498236338660caf0fa0fac08b3b61a8/cards/Collectors_Edition/wheel_of_fortune.jpg" alt="Wheel of Fortune" id="prodImageId" class="prodImage" itemprop="image"></div><div class="slideshow-img"><img src="/img/7498236338660caf0fa0fac08b3b61a8/cards/Collectors_Edition/white_knight.jpg" alt="White Knight" id="prodImageId" class="prodImage" itemprop="image"></div><a href="/Products/Singles/Collectors%27+Edition/White+Knight" onmouseout="prodimgAnimate();" onmouseover="prodimgAnimate('next');" id="prodimg-next"><span id="next" class="slideshow-btn next brad3003 trans"><span class="nexttriangle"></span></span></a></div></div><div class="fl-l MKMBlock prodimg-block algn-c bg-w hiddenBlock" id="imgDiv-collapsed"><img src="/img/7498236338660caf0fa0fac08b3b61a8/cards/Collectors_Edition/wheel_of_fortune.jpg" alt="Wheel of Fortune" id="prodImageId" class="prodImage prodImage-collapsed" itemprop="image"></div><div class="fl-r MKMBlock prodacc-block brd-w" id="prodAccordion"><div class="skm-accordion horizontal"><section onclick="sp_sectionClick(this)" id="ProductInformation" class="fl-l openSection"><h2><div class="block" onclick="jcp('p%60ebeBWAgPBCQW%5DH%06%07%7Fu%01%19%11%260%01%23%21%29%3C%26%3F%1C%2C+%2A%3C%2A%2A%2A'+encodeURI(1),'','',false)"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -498px -68px;" class="icon"></span>Product Information</div></h2><div class="sectioncontent"><div class="prodDetails"><table class="infoTableSingles"><tbody><tr class="row_Even row_0"><td class="outerTop outerLeft col_Even col_0 cell_0_0">Rarity:</td><td class="outerTop outerRight col_Odd col_1 cell_0_1"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/6b44902d8f465cbeb51dbe278e802889/spriteSheets/ssRarity/ssRarity1.png'); background-position: -48px -0px;" class="icon" onmouseover="showMsgBox(this,'Rare')" onmouseout="hideMsgBox()"></span></td></tr><tr class="row_Odd row_1"><td class="outerBottom outerLeft col_Even col_0 cell_1_0">Printed in:</td><td class="outerBottom outerRight col_Odd col_1 cell_1_1"><div class="expansionsBox"><a href="/Products/Singles/Judge+Rewards+Promos/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -147px -147px;" onmouseover="setAndShowImgBox(this,'/img/3fff01d7151edb8d41a074558abd4b67/cards/Judge_Rewards_Promos/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Judge Rewards Promos)"></span></a><a href="/Products/Singles/Foreign+White+Bordered/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -0px -147px;" onmouseover="setAndShowImgBox(this,'/img/16cf7d2847efb535b18bea69f0371d58/cards/Foreign_White_Bordered/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Foreign White Bordered)"></span></a><a href="/Products/Singles/Summer+Magic/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -63px -147px;" onmouseover="setAndShowImgBox(this,'/img/504850c946a82f038a8d262597a1e8bc/cards/Summer_Magic/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Summer Magic)"></span></a><a href="/Products/Singles/Foreign+Black+Bordered/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -105px -105px;" onmouseover="setAndShowImgBox(this,'/img/fa52a9a0c949a0ac0885f7d145434d1b/cards/Foreign_Black_Bordered/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Foreign Black Bordered)"></span></a><a href="/Products/Singles/Revised/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -105px -0px;" onmouseover="setAndShowImgBox(this,'/img/12bd4d8fbfea75b9d0a6d6c24de3dd63/cards/Revised/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Revised)"></span></a><a href="/Products/Singles/Unlimited/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -42px -0px;" onmouseover="setAndShowImgBox(this,'/img/7ac5d16601341758e41c4c6101822d46/cards/Unlimited/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Unlimited)"></span></a><a href="/Products/Singles/Beta/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -21px -0px;" onmouseover="setAndShowImgBox(this,'/img/dd493dab61632a1fdf24fc40ead38570/cards/Beta/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Beta)"></span></a><a href="/Products/Singles/Alpha/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -0px -0px;" onmouseover="setAndShowImgBox(this,'/img/15be4d1b8b0aad7c5e6cb6659dfe5656/cards/Alpha/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Alpha)"></span></a><a href="/Products/Singles/Oversized+6x9+Promos/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -147px -210px;" onmouseover="setAndShowImgBox(this,'/img/af87adc073fc30fa03c0bf9dd22f0a06/cards/Oversized_6x9_Promos/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Oversized 6x9 Promos)"></span></a><a href="/Products/Singles/International+Edition/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -84px -147px;" onmouseover="setAndShowImgBox(this,'/img/b9fdb5a259fa0b724cdd93bee3fcf651/cards/International_Edition/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (International Edition)"></span></a><a href="/Products/Singles/Collectors%27+Edition/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -189px -105px;" onmouseover="setAndShowImgBox(this,'/img/7498236338660caf0fa0fac08b3b61a8/cards/Collectors_Edition/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Collectors' Edition)"></span></a></div><a href="/Cards/Wheel+of+Fortune" class="seeAllLink">See cards from all expansions</a></td></tr></tbody></table><h3>Product Availability</h3><div class="infoBlock" itemprop="offerDetails" itemscope="itemscope" itemtype="http://data-vocabulary.org/Offer-aggregate"><table class="availTable"><tbody><tr class="row_Even row_0"><td class="outerBottom outerLeft col_Even col_0 cell_0_0">Available items:</td><td class="outerBottom outerRight col_Odd col_1 cell_0_1"><span itemprop="offerCount">0</span></td></tr></tbody></table></div><h3>Rules Text</h3><div class="infoBlock rulesBlock" itemprop="description">Each player discards his or her hand and draws seven cards.</div></div><div style="float:right; padding: 0px; margin: 0px;;"><div id="nonfoil"><div class="statsChart" id="chartCanvas1713359023ff48e892" style="position: relative;"><canvas id="prodChart1713359023ff48e892" width="250" height="220"></canvas><div id="chartLegend1713359023ff48e892" style="display: block; background-color: white"></div></div><script type="text/javascript" charset="UTF-8">var chartOptions ={"animation":false,"scaleFontSize":8,"scaleShowLabels":true,"skipLabels":true,"scaleLabel":"<%=\' \'+value+\' \u20ac\'%>","scaleIntegersOnly":false,"scaleShowGridLines":true,"scaleGridLineColor":"rgba(0,0,0,.05)","scaleGridLineWidth":1,"scaleShowHorizontalLines":true,"scaleShowVerticalLines":true,"bezierCurve":true,"bezierCurveTension":0.3,"pointDot":true,"pointDotRadius":1,"pointDotStrokeWidth":0,"pointHitDetectionRadius":2,"datasetStroke":true,"datasetStrokeWidth":1,"datasetFill":false,"multiTooltipTemplate":"<%= value.toFixed(2)+\' \u20ac\'%>","legendTemplate":"<ul style=\"padding: 0 0 0 0; margin: 0 9px 0 18px;\"><% for (var i=0; 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width: 16px; height: 16px; background-image: url('/img/6b44902d8f465cbeb51dbe278e802889/spriteSheets/ssRarity/ssRarity1.png'); background-position: -48px -0px;" class="icon" onmouseover="showMsgBox(this,'Rare')" onmouseout="hideMsgBox()"></span></td></tr><tr class="row_Odd row_1"><td class="outerBottom outerLeft col_Even col_0 cell_1_0">Printed in:</td><td class="outerBottom outerRight col_Odd col_1 cell_1_1"><div class="expansionsBox"><a href="/Products/Singles/Judge+Rewards+Promos/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -147px -147px;" onmouseover="setAndShowImgBox(this,'/img/3fff01d7151edb8d41a074558abd4b67/cards/Judge_Rewards_Promos/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Judge Rewards Promos)"></span></a><a href="/Products/Singles/Foreign+White+Bordered/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -0px -147px;" onmouseover="setAndShowImgBox(this,'/img/16cf7d2847efb535b18bea69f0371d58/cards/Foreign_White_Bordered/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Foreign White Bordered)"></span></a><a href="/Products/Singles/Summer+Magic/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -63px -147px;" onmouseover="setAndShowImgBox(this,'/img/504850c946a82f038a8d262597a1e8bc/cards/Summer_Magic/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Summer Magic)"></span></a><a href="/Products/Singles/Foreign+Black+Bordered/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -105px -105px;" onmouseover="setAndShowImgBox(this,'/img/fa52a9a0c949a0ac0885f7d145434d1b/cards/Foreign_Black_Bordered/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Foreign Black Bordered)"></span></a><a href="/Products/Singles/Revised/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -105px -0px;" onmouseover="setAndShowImgBox(this,'/img/12bd4d8fbfea75b9d0a6d6c24de3dd63/cards/Revised/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Revised)"></span></a><a href="/Products/Singles/Unlimited/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -42px -0px;" onmouseover="setAndShowImgBox(this,'/img/7ac5d16601341758e41c4c6101822d46/cards/Unlimited/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Unlimited)"></span></a><a href="/Products/Singles/Beta/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -21px -0px;" onmouseover="setAndShowImgBox(this,'/img/dd493dab61632a1fdf24fc40ead38570/cards/Beta/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Beta)"></span></a><a href="/Products/Singles/Alpha/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -0px -0px;" onmouseover="setAndShowImgBox(this,'/img/15be4d1b8b0aad7c5e6cb6659dfe5656/cards/Alpha/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Alpha)"></span></a><a href="/Products/Singles/Oversized+6x9+Promos/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -147px -210px;" onmouseover="setAndShowImgBox(this,'/img/af87adc073fc30fa03c0bf9dd22f0a06/cards/Oversized_6x9_Promos/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Oversized 6x9 Promos)"></span></a><a href="/Products/Singles/International+Edition/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -84px -147px;" onmouseover="setAndShowImgBox(this,'/img/b9fdb5a259fa0b724cdd93bee3fcf651/cards/International_Edition/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (International Edition)"></span></a><a href="/Products/Singles/Collectors%27+Edition/Wheel+of+Fortune" class="noborder"><span style="display: inline-block; width: 21px; height: 21px; background-image: url('/img/75dde86bd077109776d39d219fdcf82a/expansionicons/expicons.png'); background-position: -189px -105px;" onmouseover="setAndShowImgBox(this,'/img/7498236338660caf0fa0fac08b3b61a8/cards/Collectors_Edition/wheel_of_fortune.jpg')" onmouseout="hideImgBox()" class="expansionIcon" title="Wheel of Fortune (Collectors' Edition)"></span></a></div><a href="/Cards/Wheel+of+Fortune" class="seeAllLink">See cards from all expansions</a></td></tr></tbody></table></div><div class="prodDetails-info block"><h3 class="m-0">Product Availability</h3><div class="infoBlock"><table class="availTable"><tbody><tr class="row_Even row_0"><td class="outerBottom outerLeft col_Even col_0 cell_0_0">Available items:</td><td class="outerBottom outerRight col_Odd col_1 cell_0_1"><span>0</span></td></tr></tbody></table></div></div></div></div></div><div class="MKMBlockFooter brad0033 skmgrad"></div><div class="mt-40"><form method="POST" id="articleFilterForm" action="/Products/Singles/Collectors%27+Edition/Wheel+of+Fortune"><table class="MKMTable fullWidth"><thead><tr class="centered"><th class="centered">Filter</th><th class="centered"><div><span class="mr-5 vAlignMiddle">Sellers</span><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Use the CTRL key to select or deselect an option')" onmouseout="hideMsgBox()"></span></div></th><th class="centered"><div><span class="mr-5 vAlignMiddle">Languages</span><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Use the CTRL key to select or deselect an option')" onmouseout="hideMsgBox()"></span></div></th><th class="centered"><div><span class="mr-5 vAlignMiddle">Condition</span><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/d0b251b7b836101af646d7262d20530f/spriteSheets/ssMain.png'); background-position: -626px -68px; cursor: help;" class="icon" onmouseover="showMsgBox(this,'Use the CTRL key to select or deselect an option')" onmouseout="hideMsgBox()"></span></div></th><th class="centered">Foil?</th><th class="centered">Signed?</th><th class="centered">Altered?</th><th class="centered">Amount</th><th class="centered"></th></tr></thead><tbody><tr class="centered"><td class="centered"><div><div class="vAlignParent"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -224px -64px;" class="icon mr-2" onmouseover="showMsgBox(this,'Private')" onmouseout="hideMsgBox()"></span><input type="checkbox" name="productFilter[sellerStatus0]" checked="true"></div><div class="vAlignParent"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -240px -64px;" class="icon mr-2" onmouseover="showMsgBox(this,'Professional')" onmouseout="hideMsgBox()"></span><input type="checkbox" name="productFilter[sellerStatus1]" checked="true"></div><div class="vAlignParent"><span style="display: inline-block; width: 16px; height: 16px; background-image: url('/img/5e8ca1d7cccc072ca1897576b7db4bfe/spriteSheets/ssMain2.png'); background-position: -256px -64px;" class="icon mr-2" onmouseover="showMsgBox(this,'Powerseller')" onmouseout="hideMsgBox()"></span><input type="checkbox" name="productFilter[sellerStatus2]" checked="true"></div></div></td><td class="centered"><select name="productFilter[sellerRatings][]" size="4" multiple="true"><option value="1">Outstanding seller</option><option value="2">Very good seller</option><option value="3">Good seller</option><option value="4">Average seller</option><option value="5">Bad seller</option></select></td><td class="centered"><select name="productFilter[idLanguage][]" size="4" multiple="true"><option value="1">English</option><option value="2">French</option><option value="3">German</option><option value="4">Spanish</option><option value="5">Italian</option><option value="6">S-Chinese</option><option value="7">Japanese</option><option value="8">Portuguese</option><option value="9">Russian</option><option value="10">Korean</option><option value="11">T-Chinese</option></select></td><td class="centered"><select name="productFilter[condition][]" size="4" multiple="true"><option value="MT">Mint</option><option value="NM">Near Mint</option><option value="EX">Excellent</option><option value="GD">Good</option><option value="LP">Light Played</option><option value="PL">Played</option><option value="PO">Poor</option></select></td><td class="centered"><select name="productFilter[isFoil]" size="1" autocomplete="off"><option value="0">No Preference</option><option value="Y">Yes</option><option value="N">No</option></select></td><td class="centered"><select name="productFilter[isSigned]" size="1" autocomplete="off"><option value="0">No Preference</option><option value="Y">Yes</option><option value="N">No</option></select></td><td class="centered"><select name="productFilter[isAltered]" size="1" autocomplete="off"><option value="0">No Preference</option><option value="Y">Yes</option><option value="N">No</option></select></td><td class="centered"><input type="text" name="productFilter[minAmount]" size="2"></td><td class="centered"><input type="submit" value="Filter"></td></tr></tbody><tfoot><tr class="centered"><td colspan="9" class="centered"></td></tr></tfoot></table></form></div><div class="mt-40 alert-box brad3 bg-w algn-c"><span class="warn f-s12 f-w700">Sorry, no matches for your query</span></div></div></div></div><div class="brad2 brd-b c-b f-s10 f-w700" id="msgBox"></div><div id="imgBox"><img src="/img/undefinedCard_small.jpg" alt="cardPreview" id="imgBoxImg"></div><button type="button" id="toTopButton" onclick="scrollToTop()"><span class="toTopButtonTriangle"></span></button><footer class="clearfix bg-w2"><div class="wrapper"><div class="container_6"><div class="grid_5 algn-l" id="footer-links"><a href="/Help/General_Terms_and_Conditions" title="General Terms and Conditions">General Terms and Conditions</a><a href="/?mainPage=showSitePolicies" title="About us">About us</a><a href="/Help/Privacy_Policy" title="Privacy Policy">Privacy Policy</a><a href="/Help" title="Help">Help</a><a href="/Help/FAQ" title="FAQ (Frequently Asked Questions)">FAQ (Frequently Asked Questions)</a></div><div class="clearfix"></div><div class="footer-firma grid_3 algn-l c-k8a f-s10 f-w400">© Copyright 2017 Sammelkartenmarkt Limited und Co. 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cd88fb03909e8eaecfe25f834d93dd3254c52eb0 | 5,657 | py | Python | src/sreality_scrapper/__main__.py | KSonny4/Sreality-scrapper | 54e1dd90a1f00e22b0ddc30ee92182e90b1ff5df | [
"MIT"
] | 2 | 2020-09-29T17:02:53.000Z | 2020-09-29T17:21:08.000Z | src/sreality_scrapper/__main__.py | KSonny4/Sreality-scrapper | 54e1dd90a1f00e22b0ddc30ee92182e90b1ff5df | [
"MIT"
] | null | null | null | src/sreality_scrapper/__main__.py | KSonny4/Sreality-scrapper | 54e1dd90a1f00e22b0ddc30ee92182e90b1ff5df | [
"MIT"
] | null | null | null | import pathlib
import asyncio
from typing import List, Tuple
import playwright
from playwright import async_playwright
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__package__)
# My inrnet is terribly slow, so I use these variables to limit number of running browsers.
# Otherwise playwright commands fails on timeout or the screenshots are taken when the picture is being loaded.
number_of_running_tasks = 2
time_in_ms_between_every_screenshot = 5000
async def download(urls: List[str]) -> None:
semaphore = asyncio.Semaphore(number_of_running_tasks)
tasks_download_offer = [
asyncio.create_task(download_offer(url, semaphore)) for url in urls
]
await asyncio.gather(*tasks_download_offer)
async def get_current_image_order(page: playwright) -> Tuple[int, int]:
number_of_pictures_element = await page.querySelector(
"//span[contains(@class,'image-order')]"
)
number_of_pictures_element_text = await number_of_pictures_element.innerText()
number_of_pictures_element_text = number_of_pictures_element_text.split("/")
return (
int(number_of_pictures_element_text[0]),
int(number_of_pictures_element_text[1]),
)
async def download_offer(url: str, semaphore: asyncio.Semaphore) -> None:
async with semaphore:
# create folder for output files
_path = pathlib.Path(f"{url.replace('/','.')}/")
_path.mkdir(parents=True, exist_ok=True)
async with async_playwright() as p:
browser_type = p.chromium
browser = await browser_type.launch()
page = await browser.newPage()
await page.goto(url, timeout=0)
# save the offer to PDF file
fn = "offer.pdf" # I don't know what is your fn
filepath = _path / fn
filepath.open("w", encoding="utf-8")
await page.pdf(format="A4", path=filepath)
await browser.close()
async with async_playwright() as p:
browser_type = p.chromium
browser = await browser_type.launch(headless=False)
import pathlib
import asyncio
from typing import List, Tuple
import playwright
from playwright import async_playwright
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__package__)
# My inrnet is terribly slow, so I use these variables to limit number of running browsers.
# Otherwise playwright commands fails on timeout or the screenshots are taken when the picture is being loaded.
number_of_running_tasks = 2
time_in_ms_between_every_screenshot = 5000
async def download(urls: List[str]) -> None:
semaphore = asyncio.Semaphore(number_of_running_tasks)
tasks_download_offer = [
asyncio.create_task(download_offer(url, semaphore)) for url in urls
]
await asyncio.gather(*tasks_download_offer)
async def get_current_image_order(page: playwright) -> Tuple[int, int]:
number_of_pictures_element = await page.querySelector(
"//span[contains(@class,'image-order')]"
)
number_of_pictures_element_text = await number_of_pictures_element.innerText()
number_of_pictures_element_text = number_of_pictures_element_text.split("/")
return (
int(number_of_pictures_element_text[0]),
int(number_of_pictures_element_text[1]),
)
async def download_offer(url: str, semaphore: asyncio.Semaphore) -> None:
async with semaphore:
# create folder for output files
_path = pathlib.Path(f"{url.replace('/','.')}/")
_path.mkdir(parents=True, exist_ok=True)
async with async_playwright() as p:
browser_type = p.chromium
browser = await browser_type.launch()
page = await browser.newPage()
await page.goto(url, timeout=0)
# save the offer to PDF file
fn = "offer.pdf" # I don't know what is your fn
filepath = _path / fn
filepath.open("w", encoding="utf-8")
await page.pdf(format="A4", path=filepath)
await browser.close()
async with async_playwright() as p:
browser_type = p.chromium
browser = await browser_type.launch(headless=False)
page = await browser.newPage()
await page.goto(url, timeout=0)
# click on the main picture
await page.click(
"//div[contains(@class,'download-cover')][contains(@ng-click,'showEntity(SHOW_ENTITY.FULLSCREEN)')]",
timeout=0,
)
# get current location in pictures
current, num_of_pictures = await get_current_image_order(page)
# shift to the beggining of album
while current != 1:
await page.click(
"//button[contains(@class,'icon-arr-left')]", timeout=0
)
current, _ = await get_current_image_order(page)
# make screenshot of all pictures
for i in range(num_of_pictures):
await page.waitForTimeout(time_in_ms_between_every_screenshot)
fn = f"{i}.png" # I don't know what is your fn
filepath = _path / fn
with filepath.open("w", encoding="utf-8") as f:
await page.screenshot(path=filepath)
await page.click(
"//button[contains(@class,'icon-arr-right')]", timeout=0
)
def main():
with open("links.txt", "r", encoding="utf-8") as f:
urls = [url.strip() for url in f]
asyncio.run(download(urls))
if __name__ == "__main__":
main()
| 34.919753 | 117 | 0.651936 | 712 | 5,657 | 4.969101 | 0.22191 | 0.045223 | 0.063313 | 0.091012 | 0.877614 | 0.872527 | 0.840588 | 0.840588 | 0.817976 | 0.817976 | 0 | 0.006403 | 0.254552 | 5,657 | 161 | 118 | 35.136646 | 0.832582 | 0.12816 | 0 | 0.761062 | 0 | 0.00885 | 0.076688 | 0.062042 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00885 | false | 0 | 0.106195 | 0 | 0.132743 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
cd9bc884edf6da60b76bf1a148dbf6de131c1f0c | 2,086 | py | Python | parameters/gat_args.py | jianjianGJ/RepulsionGNN | 8e8fa2132017d3bc68a91811eb1d7d170f8b1fb9 | [
"MIT"
] | null | null | null | parameters/gat_args.py | jianjianGJ/RepulsionGNN | 8e8fa2132017d3bc68a91811eb1d7d170f8b1fb9 | [
"MIT"
] | null | null | null | parameters/gat_args.py | jianjianGJ/RepulsionGNN | 8e8fa2132017d3bc68a91811eb1d7d170f8b1fb9 | [
"MIT"
] | null | null | null | #'coauthorcs', 'coauthorphysics', 'amazoncomputers', 'amazonphoto', 'wikics'
gat_parameters = {
'note':'Loading parameters for GAT on dataset ',
'arxiv':{
'architecture':{
'num_layers':3,
'hidden_channels': 64,
'dropout': 0.5,
'hidden_heads': 3},
'rsl':0.1,
'lr': 0.01,
'reg_weight_decay': 0.0005,
'nonreg_weight_decay': 0},
'reddit':{
'architecture':{
'num_layers':3,
'hidden_channels': 64,
'dropout': 0.5,
'hidden_heads': 3},
'rsl':0.1,
'lr': 0.01,
'reg_weight_decay': 0.0005,
'nonreg_weight_decay': 0},
'coauthorcs':{
'architecture':{
'num_layers':2,
'hidden_channels': 64,
'dropout': 0.5,
'hidden_heads': 3},
'rsl':0.5,
'lr': 0.01,
'reg_weight_decay': 0.0005,
'nonreg_weight_decay': 0},
'coauthorphysics':{
'architecture':{
'num_layers':2,
'hidden_channels': 64,
'dropout': 0.5,
'hidden_heads': 3},
'rsl':0.2,
'lr': 0.01,
'reg_weight_decay': 0.0005,
'nonreg_weight_decay': 0},
'amazoncomputers':{
'architecture':{
'num_layers':2,
'hidden_channels': 64,
'dropout': 0.5,
'hidden_heads': 3},
'rsl':0.4,
'lr': 0.01,
'reg_weight_decay': 0.0005,
'nonreg_weight_decay': 0},
'wikics':{
'architecture':{
'num_layers':2,
'hidden_channels': 64,
'dropout': 0.5,
'hidden_heads': 3},
'rsl':0.4,
'lr': 0.01,
'reg_weight_decay': 0.0005,
'nonreg_weight_decay': 0}
}
| 23.177778 | 76 | 0.403643 | 188 | 2,086 | 4.25 | 0.191489 | 0.165207 | 0.180225 | 0.172716 | 0.793492 | 0.793492 | 0.793492 | 0.793492 | 0.793492 | 0.793492 | 0 | 0.089395 | 0.45302 | 2,086 | 89 | 77 | 23.438202 | 0.610868 | 0.035954 | 0 | 0.809524 | 0 | 0 | 0.34005 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
269ef228bb826244826f180367250ee76f5d909b | 678,272 | py | Python | simulator/bitmap/bmp.py | ondiiik/meteoink | 9bc7af929de12ed5eb2fafd64fcfe447f07b6eeb | [
"MIT"
] | 2 | 2021-05-27T13:32:16.000Z | 2022-03-30T01:23:34.000Z | simulator/bitmap/bmp.py | ondiiik/meteoink | 9bc7af929de12ed5eb2fafd64fcfe447f07b6eeb | [
"MIT"
] | null | null | null | simulator/bitmap/bmp.py | ondiiik/meteoink | 9bc7af929de12ed5eb2fafd64fcfe447f07b6eeb | [
"MIT"
] | null | null | null | bmp = {
'804d' : {
1 : (93, 63,
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},
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},
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5 : (18, 18,
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},
'greetings' : {
1 : (400, 300,
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},
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},
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},
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},
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4 : (23, 12,
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5 : (18, 10,
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},
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},
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},
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1 : (93, 84,
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4 : (23, 21,
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5 : (18, 16,
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},
'in' : {
1 : (19, 16,
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4 : (4, 4,
memoryview(b'\x9f\x0fo\xff\x10\x00`\xf0\xff\xff\xff\xffp\xf0\xf0\xf0')),
5 : (3, 3,
memoryview(b'\x9f\x1f_\x80\x00@\xff\xff\xff\xe0\xe0\xe0')),
},
'600n' : {
1 : (93, 90,
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},
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4 : (5, 4,
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5 : (4, 3,
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},
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},
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},
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},
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},
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},
}
| 2,659.890196 | 238,652 | 0.746804 | 167,324 | 678,272 | 3.026858 | 0.00266 | 1.160263 | 1.645449 | 2.096314 | 0.990528 | 0.986171 | 0.983136 | 0.979235 | 0.977031 | 0.973355 | 0 | 0.143592 | 0.0024 | 678,272 | 254 | 238,653 | 2,670.362205 | 0.604905 | 0 | 0 | 0.610619 | 0 | 0.362832 | 0.99426 | 0.993747 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 |
f8616149ee950d1249ada5f0a1b277f39a314285 | 68,581 | py | Python | benchmarks/SimResults/micro_pinned_train_combos/cmpB_povraygromacslibquantumbzip2/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | benchmarks/SimResults/micro_pinned_train_combos/cmpB_povraygromacslibquantumbzip2/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | null | benchmarks/SimResults/micro_pinned_train_combos/cmpB_povraygromacslibquantumbzip2/power.py | TugberkArkose/MLScheduler | e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061 | [
"Unlicense"
] | null | null | 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': 0.0,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202689,
'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': 0.0,
'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': 0.378726,
'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': 0.655816,
'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': 0.376129,
'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': 1.41067,
'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': 0.374354,
'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': 5.61233,
'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': 0.0,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0137291,
'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': 0.0992785,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.101535,
'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': 0.0992785,
'Execution Unit/Register Files/Runtime Dynamic': 0.115264,
'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': 0.239898,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.7194,
'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': 2.8534,
'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': 0.00265591,
'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': 0.00265591,
'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': 0.00235329,
'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': 0.000932873,
'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': 0.00145856,
'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': 0.00912368,
'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': 0.0240357,
'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': 0.0976083,
'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': 6.20872,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.32693,
'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': 0.331522,
'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': 8.73317,
'Instruction Fetch Unit/Runtime Dynamic': 0.789219,
'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': 0.0754794,
'L2/Runtime Dynamic': 0.0212082,
'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': 4.49954,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.59575,
'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': 0.105547,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.105547,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 4.99999,
'Load Store Unit/Runtime Dynamic': 2.22182,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.260261,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.520523,
'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': 0.0923676,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0934975,
'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': 0.386036,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.053606,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.70422,
'Memory Management Unit/Runtime Dynamic': 0.147104,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 24.6869,
'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': 0.0,
'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': 0.0193659,
'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': 0.201614,
'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': 0.220979,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 6.25373,
'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': 0.151406,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.32161,
'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': 0.870661,
'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': 0.314813,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.507781,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.256311,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.07891,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.22657,
'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': 5.77005,
'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': 0.164487,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0132047,
'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': 0.150015,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0976566,
'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': 0.314501,
'Execution Unit/Register Files/Runtime Dynamic': 0.110861,
'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': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.353899,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.796367,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 2.71312,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'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': 0.000571031,
'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': 0.000571031,
'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': 0.000500862,
'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': 0.000195804,
'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': 0.00140284,
'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': 0.00304577,
'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': 0.00535011,
'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': 0.0589979,
'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': 0.0938798,
'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': 5.97156,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.193323,
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'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': 0.318858,
'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': 8.47988,
'Instruction Fetch Unit/Runtime Dynamic': 0.614456,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
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'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0335639,
'L2/Runtime Dynamic': 0.00667739,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
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'Load Store Unit/Data Cache/Area': 6.84535,
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'Load Store Unit/Data Cache/Runtime Dynamic': 1.25957,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
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'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0847132,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0847131,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 4.25561,
'Load Store Unit/Runtime Dynamic': 1.76206,
'Load Store Unit/StoreQ/Area': 0.322079,
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'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
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'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Memory Management Unit/Peak Dynamic': 0.654749,
'Memory Management Unit/Runtime Dynamic': 0.106337,
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'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
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'Renaming Unit/Free List/Area': 0.0340654,
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'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.152454,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.604613,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 5.80726,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
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'Execution Unit/Complex ALUs/Runtime Dynamic': 0.241675,
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'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Floating Point Units/Peak Dynamic': 0.261937,
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'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
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'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
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'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.742547,
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'Execution Unit/Integer ALUs/Area': 0.47087,
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'Execution Unit/Integer ALUs/Peak Dynamic': 0.207646,
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'Execution Unit/Peak Dynamic': 4.69426,
'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': 0.0494856,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00908799,
'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': 0.0845491,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0672112,
'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': 0.134035,
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'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': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.190533,
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'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.93597,
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'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': 0.00193928,
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'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': 0.00193928,
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'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': 0.00172903,
'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': 0.000691173,
'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': 0.000965495,
'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': 0.00657309,
'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': 0.0171672,
'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': 0.0589979,
'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': 0.0646119,
'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': 4.10987,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.220674,
'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': 0.219451,
'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': 6.52784,
'Instruction Fetch Unit/Runtime Dynamic': 0.528478,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0687768,
'L2/Runtime Dynamic': 0.0149792,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.61342,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.15311,
'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': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0768788,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.076879,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.97645,
'Load Store Unit/Runtime Dynamic': 1.60913,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.18957,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.379141,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
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'Memory Management Unit/Dtlb/Peak Dynamic': 0.067279,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0680772,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.527219,
'Memory Management Unit/Runtime Dynamic': 0.104949,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 19.384,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.130173,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
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'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0113596,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
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'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
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'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 4.44263,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
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'Execution Unit/Complex ALUs/Peak Dynamic': 0.0,
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'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Floating Point Units/Peak Dynamic': 0.0,
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'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
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'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
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'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
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'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.0503933,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.212124,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.0707909,
'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': 3.96123,
'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': 0.0,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00259617,
'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': 0.0187737,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0192003,
'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': 0.0187737,
'Execution Unit/Register Files/Runtime Dynamic': 0.0217964,
'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': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.039551,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.111262,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 0.953248,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'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': 0.000627779,
'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': 0.000627779,
'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': 0.000551953,
'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': 0.000216491,
'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': 0.000275813,
'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': 0.00208332,
'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': 0.00583479,
'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': 0.0589979,
'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': 0.0184577,
'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': 1.17407,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0835525,
'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': 0.0626907,
'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': 3.44957,
'Instruction Fetch Unit/Runtime Dynamic': 0.172619,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0300778,
'L2/Runtime Dynamic': 0.00916364,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 1.55131,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.165484,
'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': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0101649,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0101649,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 1.59931,
'Load Store Unit/Runtime Dynamic': 0.225778,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.0250648,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.0501297,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.00889558,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.00934721,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.0729994,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0136975,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.244389,
'Memory Management Unit/Runtime Dynamic': 0.0230447,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 12.8741,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.0,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.00279255,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0318703,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.0346628,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 1.41852,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 1.866425649548015,
'Runtime Dynamic': 1.866425649548015,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.166622,
'Runtime Dynamic': 0.0840621,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 79.8949,
'Peak Power': 113.007,
'Runtime Dynamic': 18.0062,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 79.7283,
'Total Cores/Runtime Dynamic': 17.9221,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.166622,
'Total L3s/Runtime Dynamic': 0.0840621,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}} | 75.033917 | 124 | 0.681953 | 8,082 | 68,581 | 5.780871 | 0.066444 | 0.123627 | 0.113011 | 0.093491 | 0.941226 | 0.93215 | 0.920357 | 0.891291 | 0.865328 | 0.846493 | 0 | 0.131491 | 0.224421 | 68,581 | 914 | 125 | 75.033917 | 0.746889 | 0 | 0 | 0.653173 | 0 | 0 | 0.65768 | 0.048118 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f8c5cdb59954db2eec85b13ba40d8be83bbc430d | 933 | py | Python | WL.py | AntarSidgi/LiverTumorSegmentation | 9e8b1182541e011dc9f14218276ee9cb736ce479 | [
"MIT"
] | 1 | 2021-05-07T01:08:08.000Z | 2021-05-07T01:08:08.000Z | WL.py | AntarSidgi/LiverTumorSegmentation | 9e8b1182541e011dc9f14218276ee9cb736ce479 | [
"MIT"
] | null | null | null | WL.py | AntarSidgi/LiverTumorSegmentation | 9e8b1182541e011dc9f14218276ee9cb736ce479 | [
"MIT"
] | null | null | null | import numpy as np
import pydicom
def WL(data, WC, WW):
# WC: Window level WW：Window width
data = data.pixel_array*data.RescaleSlope + data.RescaleIntercept
min = (2*WC - WW) / 2.0
max = (2*WC + WW) / 2.0
# print(max, min)
idx_max = np.where(data > max)
idx_min = np.where(data < min)
idx_in = np.where((data >= min) & (data <= max))
data = (data -min) * 254 / (max - min)
data[idx_max] = 255
data[idx_min] = 0
return data
def WL_NII(data, WC, WW):
# WC: Window level WW：Window width
data = data.pixel_array*data.RescaleSlope + data.RescaleIntercept
min = (2*WC - WW) / 2.0
max = (2*WC + WW) / 2.0
# print(max, min)
idx_max = np.where(data > max)
idx_min = np.where(data < min)
idx_in = np.where((data >= min) & (data <= max))
data = (data -min) * 254 / (max - min)
data[idx_max] = 255
data[idx_min] = 0
return data | 29.15625 | 69 | 0.570204 | 147 | 933 | 3.530612 | 0.197279 | 0.046243 | 0.127168 | 0.046243 | 0.921002 | 0.921002 | 0.921002 | 0.921002 | 0.921002 | 0.921002 | 0 | 0.03869 | 0.279743 | 933 | 32 | 70 | 29.15625 | 0.733631 | 0.11254 | 0 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e411304d429fffa150fd46cc56b74b4a67b9f197 | 4,978 | py | Python | dev/talk.py | Erotemic/doctest2 | b65c9e4fce1aed64ea8d186f6a86f99501080dcc | [
"Apache-2.0"
] | 142 | 2018-01-11T16:44:16.000Z | 2022-03-30T12:33:59.000Z | dev/talk.py | Erotemic/doctest2 | b65c9e4fce1aed64ea8d186f6a86f99501080dcc | [
"Apache-2.0"
] | 113 | 2017-12-19T21:01:10.000Z | 2022-03-25T15:41:15.000Z | dev/talk.py | Erotemic/doctest2 | b65c9e4fce1aed64ea8d186f6a86f99501080dcc | [
"Apache-2.0"
] | 8 | 2019-09-06T18:15:21.000Z | 2022-03-24T14:21:55.000Z | """
https://tohtml.com/
"""
import operator
# def paragraph(text):
# r"""
# Remove leading, trailing, and double whitespace from multi-line strings.
# Args:
# text (str): typically in the form of a multiline string
# Returns:
# str: the reduced text block
# """
# import re
# out = re.sub(r'\s\s*', ' ', text).strip()
# return out
# def paragraph(text):
# r"""
# Remove leading, trailing, and double whitespace from multi-line strings.
# Args:
# text (str): typically in the form of a multiline string
# Returns:
# str: the reduced text block
# Example:
# >>> text = (
# >>> '''
# >>> Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do
# >>> eiusmod tempor incididunt ut labore et dolore magna aliqua.
# >>> ''')
# >>> out = paragraph(text)
# >>> assert chr(10) in text and chr(10) not in out
# """
# import re
# out = re.sub(r'\s\s*', ' ', text).strip()
# return out
def paragraph(text):
r"""
Remove leading, trailing, and double whitespace from multi-line strings.
Args:
text (str): typically in the form of a multiline string
Returns:
str: the reduced text block
Example:
>>> text = (
'''
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do
eiusmod tempor incididunt ut labore et dolore magna aliqua.
''')
>>> out = paragraph(text)
>>> assert chr(10) in text and chr(10) not in out
"""
import re
out = re.sub(r'\s\s*', ' ', text).strip()
return out
# text = (
# '''
# Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do
# eiusmod tempor incididunt ut labore et dolore magna aliqua.
# ''')
# out = paragraph(text)
# assert chr(10) in text and chr(10) not in out
# def paragraph(text):
# r"""
# Remove leading, trailing, and double whitespace from multi-line strings.
# Args:
# text (str): typically in the form of a multiline string
# Returns:
# str: the reduced text block
# Example:
# >>> text = (
# ... '''
# ... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do
# ... eiusmod tempor incididunt ut labore et dolore magna aliqua.
# ... ''')
# >>> out = paragraph(text)
# >>> assert chr(10) in text and chr(10) not in out
# """
# import re
# out = re.sub(r'\s\s*', ' ', text).strip()
# return out
# def allsame1(iterable, eq=operator.eq):
# """
# Determine if all items in a sequence are the same
# Args:
# iterable (Iterable): items to determine if they are all the same
# eq (Callable, optional): function to determine equality
# (default: operator.eq)
# Example:
# >>> allsame([1, 1, 1, 1])
# True
# >>> allsame([])
# True
# >>> allsame([0, 1])
# False
# >>> iterable = iter([0, 1, 1, 1])
# >>> next(iterable)
# >>> allsame(iterable)
# True
# >>> allsame(range(10))
# False
# >>> allsame(range(10), lambda a, b: True)
# True
# """
# iter_ = iter(iterable)
# try:
# first = next(iter_)
# except StopIteration:
# return True
# return all(eq(first, item) for item in iter_)
def allsame(iterable, eq=operator.eq):
"""
Determine if all items in a sequence are the same
Args:
iterable (Iterable): items to determine if they are all the same
eq (Callable, optional): function to determine equality
(default: operator.eq)
Example:
>>> allsame([1, 1, 1, 1])
True
>>> allsame([])
True
>>> allsame([0, 1])
False
>>> iterable = iter([0, 1, 1, 1])
>>> next(iterable)
>>> allsame(iterable)
True
>>> allsame(range(10))
False
>>> allsame(range(10), lambda a, b: True)
True
"""
iter_ = iter(iterable)
try:
first = next(iter_)
except StopIteration:
return True
return all(eq(first, item) for item in iter_)
def demo_directive():
"""
Example:
>>> print('This is run')
>>> print('This is not run') # xdoctest: +SKIP
>>> # xdoctest: +SKIP
>>> print('Skip has been enabled, commands will not run')
>>> print('This is also not run')
>>> print('Block based directives can be deactivated')
>>> # xdoctest: -SKIP
>>> print('This will now run')
"""
pass
if __name__ == '__main__':
"""
CommandLine:
python -m doctest ~/code/xdoctest/dev/talk.py
python -m xdoctest ~/code/xdoctest/dev/talk.py demo_directive
"""
import xdoctest
xdoctest.doctest_module(__file__)
| 25.659794 | 81 | 0.53415 | 579 | 4,978 | 4.556131 | 0.221071 | 0.007582 | 0.006823 | 0.025777 | 0.864291 | 0.84837 | 0.84837 | 0.84837 | 0.84837 | 0.84837 | 0 | 0.013538 | 0.332262 | 4,978 | 193 | 82 | 25.792746 | 0.780084 | 0.797509 | 0 | 0 | 0 | 0 | 0.024867 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0.055556 | 0.166667 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
e43fd42e4f3bffdb50e66948c32dcdb6d9cc9607 | 11,431 | py | Python | other/re-risky/directors-cut/spoilers_and_source/src/loader.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 2,757 | 2018-04-28T21:41:36.000Z | 2022-03-29T06:33:36.000Z | other/re-risky/directors-cut/spoilers_and_source/src/loader.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 20 | 2019-07-23T15:29:32.000Z | 2022-01-21T12:53:04.000Z | other/re-risky/directors-cut/spoilers_and_source/src/loader.py | iicarus-bit/google-ctf | 4eb8742bca58ff071ff8f6814d41d9ec7eb1db4b | [
"Apache-2.0"
] | 449 | 2018-05-09T05:54:05.000Z | 2022-03-30T14:54:18.000Z | from ctypes import *
libc = CDLL('libc.so.6')
mmap_type = CFUNCTYPE(c_void_p, c_void_p, c_ulong, c_int, c_int, c_int, c_ulong)
mmap = cast(libc.mmap, mmap_type)
memcpy_type = CFUNCTYPE(None, c_void_p, c_void_p, c_ulong)
memcpy = cast(libc.memcpy, memcpy_type)
text = mmap(0x42000000, 0x1000, 7, 0x32, -1, 0)
data = mmap(0x42001000, 0x9000, 7, 0x32, -1, 0)
prog = 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e\x29\x9f\x52\x89\xb1\x0a\x8d\x50\xdc\xda\xe5\x6b\x1d\x6b\x1c\x0b\x16\xa2\x38\xc7\x92\x0d\x0e\x14\xb7\x26\x6f\xf1\x02\xc7\x02\x14\xb7\x2c\xcf\x11\xb7\x7a\x05\x30\x14\x72\xe1\xda\xb5\x28\x6e\x51\xde\xca\x95\x4b\x56\x39\xfe\x53\xf1\x85\xa2\xfe\xdf\xb2\x52\xa1\xfc\x4d\x5a\xfd\xe1\xa9\xb9\x43\x06\xca\x0f\xfe\x3d\xaa\xa1\xaa\xbe\x46\xa5\x73\x87\x28\xfa\xb9\xea\xef\x62\x45\x0d\x92\xd7\x0d\xa2\x47\xaa\xfa\x5a\x95\xbe\xed\x77\xb4\x28\x22\x07\xc9\xf3\x83\xc6\x71\x83\xf4\xf7\xa9\xfa\xfb\x54\x7d\x14\x3f\x50\x7f\x70\x3c\x31\xaa\xad\xa0\x7e\x96\xaa\x9f\xa5\x32\x06\x25\x3c\x58\x7f\xbc\xea\x7f\x90\x9b\xa0\x7e\xf4\x20\x3e\xf7\x39\xa3\x16\x7d\x16\xe5\xaa\xfe\xe4\x7f\xa3\x1f\xc0\xbf\x00\xb0\x58\x65\x99'.decode('zlib')
text_sz = 0xa78
data_sz = 0x3028
memcpy(text, create_string_buffer(prog[0x1000:0x1000+text_sz]), text_sz)
memcpy(data + text_sz, create_string_buffer(prog[0x1000+text_sz:0x1000+text_sz+data_sz]), data_sz)
func_type = CFUNCTYPE(c_int, c_void_p)
func = cast(0x42000900, func_type)
def check(s):
s = s.ljust(0x20, '\0')
return func(create_string_buffer(s))
| 601.631579 | 10,716 | 0.749541 | 2,806 | 11,431 | 3.039914 | 0.10727 | 0.018992 | 0.027433 | 0.03517 | 0.032356 | 0.024267 | 0.024267 | 0.024267 | 0.020047 | 0.020047 | 0 | 0.306398 | 0.007261 | 11,431 | 18 | 10,717 | 635.055556 | 0.445277 | 0 | 0 | 0 | 0 | 0.055556 | 0.936663 | 0.935351 | 0 | 1 | 0.007786 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e45210aefe53319945df14478023c29a1b92fb3e | 4,095 | py | Python | previous_data.py | tarod13/CLminihack | 7f26c77809359aeff060504c58084b491605f394 | [
"MIT"
] | null | null | null | previous_data.py | tarod13/CLminihack | 7f26c77809359aeff060504c58084b491605f394 | [
"MIT"
] | null | null | null | previous_data.py | tarod13/CLminihack | 7f26c77809359aeff060504c58084b491605f394 | [
"MIT"
] | null | null | null | # Green AntGatherBoxes
DEFAULT_BUFFER_SIZE = 250000
DEFAULT_BATCH_SIZE = 128
DEFAULT_BATCH_SIZE_C = 256
DEFAULT_CLIP_Q_ERROR = False
DEFAULT_CLIP_RATIOS = False
DEFAULT_CLIP_VALUE = 1.0
DEFAULT_CLIP_VALUE_Q_ERROR = 5.0
DEFAULT_COLLISION_DETECTION = False
DEFAULT_CONCEPT_MODEL_ID = '2021-02-15_13-25-36_v20' # '2021-02-15_12-57-00_v18' #'2021-02-15_12-57-31_v20' # None #'2021-01-30_00-30-28'
DEFAULT_CONTACT_COST = 0.0
DEFAULT_CONTROL_COST = 1e-2
DEFAULT_DEAD_COST = 0.0
DEFAULT_DELTA_EPSILON = 1e-5
DEFAULT_DELTA_EPSILON_MC = (1e-4)*600./8.
DEFAULT_DISCOUNT_FACTOR = 0.999
DEFAULT_DISCOUNT_FACTOR_MC = 0.99
DEFAULT_DISTRIBUTED_CONTRIBUTION = True
DEFAULT_ENTROPY_FACTOR = 0.1
DEFAULT_ENTROPY_FACTOR_MC = 0.3
DEFAULT_ENTROPY_UPDATE_RATE = 0.005
DEFAULT_ENV_NAME = 'AntSquareWall-v3'
DEFAULT_EVAL_MC = False
DEFAULT_FORGETTING_FACTOR = 0.0
DEFAULT_HEALTHY_REWARD = 1.0e-2
DEFAULT_ID = None #'2001-01-15_19-10-56'
DEFAULT_INIT_EPSILON = 0.1
DEFAULT_INIT_EPSILON_MC = 0.1
DEFAULT_INIT_LOG_ALPHA = 2.0
DEFAULT_INIT_LOG_ALPHA_MC = 2.0
DEFAULT_MARGINAL_UPDATE_RATE = 0.1
DEFAULT_MC_ENTROPY = False
DEFAULT_MC_UPDATE_RATE = 1e-1
DEFAULT_MIN_EPSILON = 1.0
DEFAULT_LR = 1e-4
DEFAULT_LR_ALPHA = 1e-4
DEFAULT_LR_ACTOR = 1e-4
DEFAULT_LR_C = 1e-4
DEFAULT_LR_C_ALPHA = (1.e-4)*600./8.
DEFAULT_ALPHA_V_WEIGHT = 0
DEFAULT_INITIALIZATION = False
DEFAULT_INITIAL_BUFFER_SIZE = 500
DEFAULT_N_AGENTS = 1
DEFAULT_N_CONCEPTS = 20
DEFAULT_N_EPISODES = 600
DEFAULT_N_HEADS = 2
DEFAULT_N_STEP_TD = 1
DEFAULT_N_STEPS_IN_SECOND_LEVEL_EPISODE = 600
DEFAULT_NOISY_ACTOR_CRITIC = False
DEFAULT_NORMALIZE_Q_DIST = True
DEFAULT_NORMALIZE_Q_ERROR = True
DEFAULT_PARALLEL_Q_NETS = True
DEFAULT_POLICY_DIVERGENCE_LIMIT = 0.01
DEFAULT_PRIOR_LOSS_TYPE = 'KL_DIV'
DEFAULT_PRIOR_WEIGHT = 1.0
DEFAULT_REST_N_MC = 5
DEFAULT_RESTRAIN_POLICY_UPDATE = False
DEFAULT_SAVE_STEP_EACH = 1
DEFAULT_TARGET_UPDATE_RATE = 5e-3
DEFAULT_TEMPORAL_RATIO = 5
DEFAULT_TRAIN_EACH = 8
DEFAULT_TRAIN_N_MC = 5
DEFAULT_USE_ENTROPY = True
DEFAULT_USE_H_MEAN = True
DEFAULT_VISION_LATENT_DIM = 64
DEFAULT_WEIGHT_Q_LOSS = 0.5
# Green AntSquareWall
DEFAULT_BUFFER_SIZE = 250000
DEFAULT_BATCH_SIZE = 128
DEFAULT_BATCH_SIZE_C = 256
DEFAULT_CLIP_Q_ERROR = False
DEFAULT_CLIP_RATIOS = False
DEFAULT_CLIP_VALUE = 1.0
DEFAULT_CLIP_VALUE_Q_ERROR = 5.0
DEFAULT_COLLISION_DETECTION = False
DEFAULT_CONCEPT_MODEL_ID = '2021-02-15_13-25-36_v20' # '2021-02-15_12-57-00_v18' #'2021-02-15_12-57-31_v20' # None #'2021-01-30_00-30-28'
DEFAULT_CONTACT_COST = 0.0
DEFAULT_CONTROL_COST = 1e-2
DEFAULT_DEAD_COST = 0.0
DEFAULT_DELTA_EPSILON = 1e-5
DEFAULT_DELTA_EPSILON_MC = (1e-4)*600./8.
DEFAULT_DISCOUNT_FACTOR = 0.999
DEFAULT_DISCOUNT_FACTOR_MC = 0.99
DEFAULT_DISTRIBUTED_CONTRIBUTION = True
DEFAULT_ENTROPY_FACTOR = 0.1
DEFAULT_ENTROPY_UPDATE_RATE = 0.005
DEFAULT_ENV_NAME = 'AntSquareWall-v3'
DEFAULT_EVAL_MC = False
DEFAULT_FORGETTING_FACTOR = 0.0
DEFAULT_HEALTHY_REWARD = 1.0e-2
DEFAULT_ID = None #'2001-01-15_19-10-56'
DEFAULT_INIT_EPSILON = 0.1
DEFAULT_INIT_EPSILON_MC = 0.1
DEFAULT_INIT_LOG_ALPHA = 2.0
DEFAULT_INIT_LOG_ALPHA_MC = 1.0
DEFAULT_MARGINAL_UPDATE_RATE = 0.1
DEFAULT_MC_ENTROPY = False
DEFAULT_MC_UPDATE_RATE = 1e-1
DEFAULT_MIN_EPSILON = 1.0
DEFAULT_LR = 1e-4
DEFAULT_LR_ALPHA = 1e-4
DEFAULT_LR_ACTOR = 1e-4
DEFAULT_LR_C = 1e-4
DEFAULT_LR_C_ALPHA = (1.e-3)*600./8.
DEFAULT_ALPHA_V_WEIGHT = 0
DEFAULT_INITIALIZATION = False
DEFAULT_INITIAL_BUFFER_SIZE = 500
DEFAULT_N_AGENTS = 1
DEFAULT_N_CONCEPTS = 20
DEFAULT_N_EPISODES = 600
DEFAULT_N_HEADS = 2
DEFAULT_N_STEP_TD = 1
DEFAULT_N_STEPS_IN_SECOND_LEVEL_EPISODE = 600
DEFAULT_NOISY_ACTOR_CRITIC = False
DEFAULT_NORMALIZE_Q_DIST = True
DEFAULT_NORMALIZE_Q_ERROR = True
DEFAULT_PARALLEL_Q_NETS = True
DEFAULT_POLICY_DIVERGENCE_LIMIT = 0.1
DEFAULT_PRIOR_LOSS_TYPE = 'KL_DIV'
DEFAULT_PRIOR_WEIGHT = 1.0
DEFAULT_REST_N_MC = 0
DEFAULT_RESTRAIN_POLICY_UPDATE = False
DEFAULT_SAVE_STEP_EACH = 1
DEFAULT_TARGET_UPDATE_RATE = 5e-3
DEFAULT_TEMPORAL_RATIO = 5
DEFAULT_TRAIN_EACH = 8
DEFAULT_TRAIN_N_MC = 5
DEFAULT_USE_ENTROPY = True
DEFAULT_USE_H_MEAN = True
DEFAULT_VISION_LATENT_DIM = 64
DEFAULT_WEIGHT_Q_LOSS = 0.5 | 30.333333 | 137 | 0.826129 | 728 | 4,095 | 4.175824 | 0.182692 | 0.055263 | 0.026645 | 0.031579 | 0.981579 | 0.981579 | 0.981579 | 0.981579 | 0.981579 | 0.981579 | 0 | 0.100245 | 0.101099 | 4,095 | 135 | 138 | 30.333333 | 0.725618 | 0.059096 | 0 | 0.930233 | 0 | 0 | 0.023431 | 0.011976 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e49a75f37b6a14c2572b78075636d2630d735e8b | 2,855 | py | Python | src/genie/libs/parser/iosxe/tests/ShowSwitchStackPortsSummary/cli/equal/golden_output1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 204 | 2018-06-27T00:55:27.000Z | 2022-03-06T21:12:18.000Z | src/genie/libs/parser/iosxe/tests/ShowSwitchStackPortsSummary/cli/equal/golden_output1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 468 | 2018-06-19T00:33:18.000Z | 2022-03-31T23:23:35.000Z | src/genie/libs/parser/iosxe/tests/ShowSwitchStackPortsSummary/cli/equal/golden_output1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z | expected_output = {
"stackports":{
"1/1":{
"stackport_id":"1/1",
"port_status":"OK",
"neighbor":5,
"cable_length":"100cm",
"link_ok":"Yes",
"link_active":"Yes",
"sync_ok":"Yes",
"link_changes_count":1,
"in_loopback":"No"
},
"1/2":{
"stackport_id":"1/2",
"port_status":"OK",
"neighbor":2,
"cable_length":"50cm",
"link_ok":"Yes",
"link_active":"Yes",
"sync_ok":"Yes",
"link_changes_count":1,
"in_loopback":"No"
},
"2/1":{
"stackport_id":"2/1",
"port_status":"OK",
"neighbor":1,
"cable_length":"50cm",
"link_ok":"Yes",
"link_active":"Yes",
"sync_ok":"Yes",
"link_changes_count":1,
"in_loopback":"No"
},
"2/2":{
"stackport_id":"2/2",
"port_status":"OK",
"neighbor":3,
"cable_length":"50cm",
"link_ok":"Yes",
"link_active":"Yes",
"sync_ok":"Yes",
"link_changes_count":1,
"in_loopback":"No"
},
"3/1":{
"stackport_id":"3/1",
"port_status":"OK",
"neighbor":2,
"cable_length":"50cm",
"link_ok":"Yes",
"link_active":"Yes",
"sync_ok":"Yes",
"link_changes_count":1,
"in_loopback":"No"
},
"3/2":{
"stackport_id":"3/2",
"port_status":"OK",
"neighbor":4,
"cable_length":"50cm",
"link_ok":"Yes",
"link_active":"Yes",
"sync_ok":"Yes",
"link_changes_count":1,
"in_loopback":"No"
},
"4/1":{
"stackport_id":"4/1",
"port_status":"OK",
"neighbor":3,
"cable_length":"50cm",
"link_ok":"Yes",
"link_active":"Yes",
"sync_ok":"Yes",
"link_changes_count":1,
"in_loopback":"No"
},
"4/2":{
"stackport_id":"4/2",
"port_status":"OK",
"neighbor":5,
"cable_length":"50cm",
"link_ok":"Yes",
"link_active":"Yes",
"sync_ok":"Yes",
"link_changes_count":1,
"in_loopback":"No"
},
"5/1":{
"stackport_id":"5/1",
"port_status":"OK",
"neighbor":4,
"cable_length":"50cm",
"link_ok":"Yes",
"link_active":"Yes",
"sync_ok":"Yes",
"link_changes_count":1,
"in_loopback":"No"
},
"5/2":{
"stackport_id":"5/2",
"port_status":"OK",
"neighbor":1,
"cable_length":"100cm",
"link_ok":"Yes",
"link_active":"Yes",
"sync_ok":"Yes",
"link_changes_count":1,
"in_loopback":"No"
}
}
} | 25.04386 | 32 | 0.429772 | 303 | 2,855 | 3.749175 | 0.089109 | 0.088028 | 0.158451 | 0.176056 | 0.862676 | 0.853873 | 0.853873 | 0.77993 | 0.77993 | 0.77993 | 0 | 0.045455 | 0.368126 | 2,855 | 114 | 33 | 25.04386 | 0.584257 | 0 | 0 | 0.701754 | 0 | 0 | 0.42437 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
5f7f2c46e5f4c1fa9329d4cc11eed5fe5bd58594 | 116,111 | py | Python | tests/test_kravatte_sanse.py | inmcm/kravatte | 21a6da899fe2707ff6128a89f83e3aeecf2ea68a | [
"MIT"
] | 13 | 2018-04-16T19:56:50.000Z | 2022-02-07T16:21:43.000Z | tests/test_kravatte_sanse.py | inmcm/kravatte | 21a6da899fe2707ff6128a89f83e3aeecf2ea68a | [
"MIT"
] | 2 | 2018-04-27T12:51:19.000Z | 2018-11-25T16:55:49.000Z | tests/test_kravatte_sanse.py | inmcm/kravatte | 21a6da899fe2707ff6128a89f83e3aeecf2ea68a | [
"MIT"
] | 2 | 2018-08-20T06:40:08.000Z | 2019-11-12T23:16:47.000Z | import numpy as np
from kravatte import KravatteSANSE
# Official Test Vectors
class TestOfficialTestVectors_SANSE:
"""
Test Vectors Generated From KeccakTools https://github.com/gvanas/KeccakTools
"""
def test_kravatte_SANSE_k_16_msg_24_meta_128(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 24 Bytes
Metadata Size - 128 Bytes
"""
my_key = bytes([0x49, 0x48, 0x47, 0x46, 0x45, 0x44, 0x43, 0x42, 0x41, 0x40, 0x3f, 0x3e, 0x3d, 0x3c, 0x3b, 0x3a])
my_message = bytes([0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2])
my_metadata = bytes([0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45])
output_ciphertexts = [bytes([0x30, 0x49, 0xb8, 0x29, 0xab, 0x48, 0x7a, 0x4e, 0xb6, 0xac, 0x1d, 0xb7, 0x37, 0x80, 0x0a, 0xeb, 0xb7, 0x53, 0x61, 0xa3, 0x98, 0x82, 0x33, 0xe4]),
bytes([0x3a, 0xb3, 0x42, 0xf2, 0x77, 0x5b, 0x99, 0x5b, 0xf6, 0x8e, 0x80, 0x15, 0x5b, 0xd4, 0x3c, 0xb6, 0xbf, 0xc0, 0x7c, 0xe5, 0x6c, 0xa7, 0xac, 0x68]),
bytes([0x6c, 0x09, 0xb5, 0x83, 0x53, 0x6d, 0xab, 0x09, 0x7b, 0xd6, 0xd8, 0x0b, 0x4d, 0xed, 0xe6, 0xa4, 0xef, 0x0f, 0x41, 0x4e, 0xb1, 0x84, 0x94, 0xc7])]
output_tags = [bytes([0x1a, 0xc9, 0x03, 0x38, 0x8d, 0x1d, 0x0a, 0x9c, 0x61, 0xa5, 0xc1, 0xe3, 0x21, 0x20, 0x3d, 0x6e, 0xb0, 0xf1, 0x31, 0x7c, 0xbc, 0x5e, 0xcc, 0xd8, 0x1b, 0xe0, 0x40, 0x87, 0x09, 0x89, 0x85, 0x39]),
bytes([0x11, 0x9d, 0x7b, 0x3f, 0xd4, 0x40, 0xc0, 0xbc, 0x3e, 0x79, 0x3f, 0x12, 0x50, 0x53, 0x0f, 0xeb, 0xbb, 0xb2, 0x21, 0x40, 0xc1, 0x92, 0xd5, 0xb2, 0x1b, 0xed, 0xca, 0xcc, 0x46, 0xf0, 0xd2, 0x2a]),
bytes([0x02, 0xa7, 0x80, 0x21, 0xcf, 0x30, 0xdc, 0x80, 0xac, 0xa6, 0x4c, 0xd9, 0xcf, 0x01, 0xaa, 0x55, 0xc0, 0x28, 0x6c, 0x79, 0xbd, 0x93, 0xab, 0x0c, 0xd7, 0x24, 0x95, 0xb1, 0x14, 0x33, 0xca, 0xab])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_0_meta_16(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 24 Bytes
Metadata Size - 128 Bytes
"""
my_key = bytes([0x11, 0x10, 0x0f, 0x0e, 0x0d, 0x0c, 0x0b, 0x0a, 0x09, 0x08, 0x07, 0x06, 0x05, 0x04, 0x03, 0x02])
my_message = bytes([])
my_metadata = bytes([0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0])
output_ciphertexts = [bytes([]),
bytes([]),
bytes([])]
output_tags = [bytes([0x75, 0x40, 0xd3, 0x69, 0x06, 0xd7, 0xb8, 0x6f, 0xaf, 0x1c, 0x2a, 0x1b, 0x54, 0x00, 0x6a, 0x11, 0xa7, 0x8c, 0x7a, 0x17, 0xa4, 0x46, 0x43, 0x55, 0x46, 0xa9, 0xe8, 0x97, 0xd8, 0x6c, 0x07, 0xce]),
bytes([0xfb, 0x5f, 0x30, 0xdb, 0x1e, 0xbf, 0x5c, 0x4d, 0xd1, 0xc7, 0x7b, 0xb8, 0x65, 0x65, 0x37, 0x0d, 0x56, 0x5c, 0xca, 0x0c, 0xd4, 0x10, 0x1e, 0x1b, 0x14, 0xf0, 0x1e, 0x5c, 0xa8, 0x4d, 0x55, 0x18]),
bytes([0xb7, 0xa7, 0x6d, 0x18, 0x0d, 0xd4, 0x37, 0x8c, 0x86, 0xce, 0x1f, 0x38, 0x78, 0x84, 0xe2, 0xbc, 0xfc, 0x08, 0x0e, 0xdc, 0xaa, 0xa5, 0x19, 0xed, 0xd3, 0x55, 0x21, 0x3c, 0x18, 0xda, 0xba, 0x13])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_24_msg_24_meta_128(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 24 Bytes
Message Size - 24 Bytes
Metadata Size - 128 Bytes
"""
my_key = bytes([0x09, 0x08, 0x07, 0x06, 0x05, 0x04, 0x03, 0x02, 0x01, 0x00, 0xff, 0xfe, 0xfd, 0xfc, 0xfb, 0xfa, 0xf9, 0xf8, 0xf7, 0xf6, 0xf5, 0xf4, 0xf3, 0xf2])
my_message = bytes([0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a])
my_metadata = bytes([0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd])
output_ciphertexts = [bytes([0xb6, 0xd8, 0xb4, 0xde, 0x06, 0x05, 0xc2, 0x42, 0x87, 0x17, 0xe3, 0xb0, 0xf1, 0xb6, 0x5e, 0x57, 0x30, 0x6e, 0xcb, 0xee, 0xb4, 0x6d, 0x91, 0x66]),
bytes([0x20, 0x18, 0x41, 0x05, 0x70, 0x41, 0xcb, 0xf0, 0x54, 0x69, 0x9c, 0x85, 0xdc, 0x58, 0xfd, 0x43, 0x73, 0x0c, 0x48, 0xf6, 0xda, 0xee, 0x73, 0x97]),
bytes([0x13, 0xfd, 0x77, 0x04, 0xb3, 0xca, 0x48, 0x52, 0xf8, 0x7e, 0xcb, 0x99, 0x8d, 0xa7, 0x36, 0x0d, 0x85, 0xe2, 0x00, 0x9f, 0x59, 0x94, 0xa9, 0x69])]
output_tags = [bytes([0x3a, 0x1c, 0x4d, 0x8b, 0x1e, 0x87, 0xb8, 0xe4, 0xdc, 0xa6, 0x05, 0x7d, 0x9f, 0x84, 0x6d, 0xf4, 0x44, 0x08, 0xfb, 0x7d, 0xee, 0x9f, 0x79, 0x0f, 0x18, 0xcd, 0x06, 0x42, 0xa7, 0x4f, 0xfd, 0xb4]),
bytes([0x63, 0xcb, 0x2a, 0xfd, 0x4a, 0x56, 0x48, 0xb7, 0x53, 0xb9, 0x70, 0xe5, 0xb3, 0x8c, 0x1f, 0x06, 0x9e, 0x43, 0xaf, 0x0a, 0xab, 0x8a, 0xdd, 0x15, 0x24, 0xc3, 0x9a, 0x28, 0x81, 0x57, 0x04, 0x70]),
bytes([0xc0, 0x8a, 0xea, 0xfa, 0x8c, 0xaa, 0x8b, 0x54, 0x51, 0xb5, 0xf6, 0xd6, 0xb7, 0x28, 0x46, 0x25, 0xc8, 0xe0, 0x5f, 0xe6, 0x58, 0x8a, 0x20, 0x1b, 0xdd, 0xfb, 0x9a, 0x06, 0x14, 0xbb, 0x83, 0x1d])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_32_msg_24_meta_128(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 32 Bytes
Message Size - 24 Bytes
Metadata Size - 128 Bytes
"""
# keyLen 256, dataLen 192, ADLen 1024 (in bits)
my_key = bytes([0xc9, 0xc8, 0xc7, 0xc6, 0xc5, 0xc4, 0xc3, 0xc2, 0xc1, 0xc0, 0xbf, 0xbe, 0xbd, 0xbc, 0xbb, 0xba, 0xb9, 0xb8, 0xb7, 0xb6, 0xb5, 0xb4, 0xb3, 0xb2, 0xb1, 0xb0, 0xaf, 0xae, 0xad, 0xac, 0xab, 0xaa])
my_message = bytes([0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22])
my_metadata = bytes([0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x50, 0x49, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1f, 0x18, 0x11, 0x0a, 0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5])
output_ciphertexts = [bytes([0x91, 0xd7, 0xcc, 0x47, 0x17, 0x3c, 0x1d, 0xeb, 0x3b, 0xc7, 0xce, 0xbf, 0xdc, 0x31, 0x06, 0x53, 0x41, 0xb0, 0x05, 0xbd, 0xf6, 0x9a, 0xa2, 0x7f]),
bytes([0x51, 0xd4, 0x6b, 0x0a, 0xad, 0x19, 0xec, 0x3d, 0x81, 0xf2, 0x94, 0xba, 0xe6, 0x49, 0x8d, 0x77, 0xef, 0xa2, 0x36, 0x8b, 0x33, 0xad, 0xe4, 0x68]),
bytes([0x29, 0xf8, 0x37, 0x52, 0xfc, 0x42, 0xfd, 0x5e, 0x26, 0x6b, 0x12, 0xc9, 0x25, 0xec, 0x30, 0x3a, 0x82, 0x5a, 0xab, 0x5d, 0x76, 0x75, 0x57, 0x31])]
output_tags = [bytes([0xf6, 0x1a, 0xd4, 0x25, 0xaf, 0xd4, 0x85, 0x77, 0x3d, 0xcf, 0x44, 0x0d, 0x0a, 0xbd, 0xa4, 0xcc, 0x7e, 0x5b, 0x59, 0x8c, 0x0a, 0x14, 0x5b, 0x3a, 0x4b, 0x4b, 0x18, 0x18, 0xdc, 0xee, 0x7c, 0xe3]),
bytes([0xf4, 0xa8, 0x3f, 0xec, 0x48, 0xee, 0xaf, 0xb4, 0x13, 0x47, 0x66, 0xab, 0x41, 0xb7, 0xa6, 0xa8, 0xd1, 0xe5, 0x25, 0xcc, 0x31, 0xf1, 0x29, 0x73, 0x3c, 0x4c, 0xea, 0x51, 0xf9, 0xf6, 0x27, 0x48]),
bytes([0x5e, 0x26, 0xb8, 0xa8, 0x23, 0x69, 0x94, 0x18, 0x28, 0x08, 0x56, 0x96, 0x5a, 0x8f, 0xed, 0x95, 0x52, 0xb6, 0xf0, 0xa2, 0x23, 0x25, 0x91, 0xc6, 0x84, 0xa8, 0x92, 0xff, 0x99, 0x27, 0xc8, 0x94])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_64_msg_24_meta_128(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 64 Bytes
Message Size - 24 Bytes
Metadata Size - 128 Bytes
"""
# keyLen 512, dataLen 192, ADLen 1024 (in bits)
my_key = bytes([0x49, 0x48, 0x47, 0x46, 0x45, 0x44, 0x43, 0x42, 0x41, 0x40, 0x3f, 0x3e, 0x3d, 0x3c, 0x3b, 0x3a, 0x39, 0x38, 0x37, 0x36, 0x35, 0x34, 0x33, 0x32, 0x31, 0x30, 0x2f, 0x2e, 0x2d, 0x2c, 0x2b, 0x2a, 0x29, 0x28, 0x27, 0x26, 0x25, 0x24, 0x23, 0x22, 0x21, 0x20, 0x1f, 0x1e, 0x1d, 0x1c, 0x1b, 0x1a, 0x19, 0x18, 0x17, 0x16, 0x15, 0x14, 0x13, 0x12, 0x11, 0x10, 0x0f, 0x0e, 0x0d, 0x0c, 0x0b, 0x0a])
my_message = bytes([0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82])
my_metadata = bytes([0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd7, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15])
output_ciphertexts = [bytes([0x69, 0x11, 0x83, 0xb0, 0xd3, 0xfe, 0x73, 0x3f, 0x39, 0x0d, 0x6a, 0x49, 0x46, 0x8d, 0xc8, 0x91, 0x67, 0x26, 0x00, 0x8d, 0x48, 0xdd, 0xb0, 0x3a]),
bytes([0x67, 0xda, 0xf0, 0x4f, 0x92, 0x1b, 0x25, 0x12, 0x0d, 0x16, 0xc5, 0x1a, 0xbb, 0xa0, 0x27, 0x4c, 0x55, 0xc0, 0x74, 0x3c, 0x32, 0x2a, 0x44, 0x3b]),
bytes([0xfa, 0xdc, 0x8e, 0x34, 0x80, 0xfa, 0xf6, 0x92, 0x32, 0xec, 0x7e, 0x2d, 0x2a, 0x60, 0x1e, 0x5c, 0x02, 0x09, 0x03, 0xbd, 0x12, 0x07, 0xf2, 0x0d])]
output_tags = [bytes([0xed, 0x7c, 0x66, 0x4f, 0xce, 0x89, 0xfc, 0xb6, 0x11, 0x5c, 0x2d, 0x8c, 0x4d, 0xc9, 0xac, 0xed, 0xad, 0x1c, 0x4a, 0x66, 0x9a, 0xa7, 0x71, 0x93, 0x68, 0x0a, 0xf0, 0xfe, 0xee, 0x3a, 0x41, 0xaf]),
bytes([0x03, 0x39, 0xa3, 0xf6, 0x34, 0x31, 0x7d, 0xeb, 0x7b, 0x67, 0x7b, 0xe4, 0x7d, 0x38, 0x43, 0xa4, 0xc5, 0x75, 0x98, 0x72, 0x8d, 0xbe, 0x8f, 0x73, 0x8c, 0x17, 0x51, 0xda, 0xb2, 0x19, 0xd5, 0x76]),
bytes([0xf0, 0xc3, 0x88, 0xdb, 0x7e, 0x17, 0xd8, 0xcc, 0x68, 0xe4, 0x8c, 0x44, 0x49, 0xe9, 0xd1, 0x64, 0x9a, 0xf8, 0x2a, 0xf0, 0xdc, 0xed, 0x07, 0x25, 0x55, 0x08, 0x2b, 0x88, 0x4a, 0x75, 0xfd, 0xc0])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_128_msg_128_meta_128(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 128 Bytes
Message Size - 128 Bytes
Metadata Size - 128 Bytes
"""
# keyLen 1024, dataLen 1024, ADLen 1024 (in bits)
my_key = bytes([0x21, 0x20, 0x1f, 0x1e, 0x1d, 0x1c, 0x1b, 0x1a, 0x19, 0x18, 0x17, 0x16, 0x15, 0x14, 0x13, 0x12, 0x11, 0x10, 0x0f, 0x0e, 0x0d, 0x0c, 0x0b, 0x0a, 0x09, 0x08, 0x07, 0x06, 0x05, 0x04, 0x03, 0x02, 0x01, 0x00, 0xff, 0xfe, 0xfd, 0xfc, 0xfb, 0xfa, 0xf9, 0xf8, 0xf7, 0xf6, 0xf5, 0xf4, 0xf3, 0xf2, 0xf1, 0xf0, 0xef, 0xee, 0xed, 0xec, 0xeb, 0xea, 0xe9, 0xe8, 0xe7, 0xe6, 0xe5, 0xe4, 0xe3, 0xe2, 0xe1, 0xe0, 0xdf, 0xde, 0xdd, 0xdc, 0xdb, 0xda, 0xd9, 0xd8, 0xd7, 0xd6, 0xd5, 0xd4, 0xd3, 0xd2, 0xd1, 0xd0, 0xcf, 0xce, 0xcd, 0xcc, 0xcb, 0xca, 0xc9, 0xc8, 0xc7, 0xc6, 0xc5, 0xc4, 0xc3, 0xc2, 0xc1, 0xc0, 0xbf, 0xbe, 0xbd, 0xbc, 0xbb, 0xba, 0xb9, 0xb8, 0xb7, 0xb6, 0xb5, 0xb4, 0xb3, 0xb2, 0xb1, 0xb0, 0xaf, 0xae, 0xad, 0xac, 0xab, 0xaa, 0xa9, 0xa8, 0xa7, 0xa6, 0xa5, 0xa4, 0xa3, 0xa2])
my_message = bytes([0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1f, 0x18, 0x11, 0x0a, 0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7])
my_metadata = bytes([0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd7, 0xd0, 0xc9, 0xc2, 0xbb, 0xb4, 0xad])
output_ciphertexts = [bytes([0xc7, 0xdf, 0x60, 0xd5, 0x72, 0x6a, 0x4c, 0x96, 0xa7, 0x01, 0x7c, 0xf2, 0x4c, 0x42, 0x85, 0x5e, 0x9d, 0x6a, 0xbd, 0x03, 0x28, 0x72, 0xe8, 0xf6, 0xd7, 0x88, 0x98, 0x9d, 0xc7, 0x19, 0x4b, 0xca, 0xa6, 0xd5, 0xb2, 0x1e, 0xc3, 0x81, 0xee, 0xf2, 0xa9, 0xe2, 0xd1, 0xfb, 0xbd, 0x6b, 0x8f, 0x1e, 0x2c, 0x4b, 0x84, 0xc2, 0xe3, 0x55, 0xa8, 0x09, 0x3f, 0x46, 0x75, 0xdf, 0x57, 0x5e, 0x98, 0x8a, 0x8d, 0xcb, 0x72, 0xd2, 0xf1, 0x18, 0x8a, 0x67, 0xaa, 0xeb, 0x92, 0x40, 0xf1, 0x48, 0x5c, 0xc0, 0xed, 0xbb, 0x1c, 0xdb, 0xe0, 0x04, 0x20, 0xa4, 0x50, 0x08, 0xeb, 0xf8, 0xf5, 0x1d, 0x6b, 0x4e, 0x45, 0xe3, 0x5a, 0x35, 0x6f, 0x4f, 0xbc, 0xb7, 0xc0, 0xc3, 0x51, 0xda, 0x0d, 0x4a, 0x91, 0x5a, 0x0b, 0xbc, 0xdb, 0xed, 0xaf, 0x64, 0xf4, 0xac, 0x55, 0x28, 0x3e, 0x0a, 0x24, 0xe8, 0x6c, 0x7d]),
bytes([0xcf, 0x37, 0x66, 0x8c, 0xda, 0xfd, 0x0b, 0xab, 0x5c, 0x5b, 0x5b, 0xf9, 0x23, 0x94, 0xc4, 0xf8, 0x49, 0x2c, 0x2c, 0x06, 0x3a, 0x78, 0x55, 0xc8, 0x07, 0xb9, 0xb0, 0x8f, 0xe0, 0x97, 0xf4, 0x91, 0xb7, 0x2f, 0xf4, 0x33, 0x65, 0xa4, 0xc0, 0x4d, 0x0b, 0x63, 0x05, 0x17, 0x44, 0xeb, 0x85, 0xdc, 0x07, 0x3f, 0x70, 0xaa, 0xe0, 0x98, 0xb3, 0x47, 0x45, 0x83, 0x55, 0x26, 0x48, 0x67, 0x88, 0x8e, 0xac, 0x09, 0x3c, 0x96, 0x40, 0x56, 0x3c, 0xae, 0xd8, 0x31, 0x36, 0x71, 0x9f, 0xf8, 0xb5, 0xe6, 0x4f, 0x1b, 0x30, 0x28, 0x87, 0x5a, 0xd9, 0x00, 0xe2, 0x70, 0x66, 0xf9, 0x90, 0xb7, 0x53, 0xed, 0xd9, 0x5c, 0x31, 0x32, 0x78, 0xa5, 0x81, 0x57, 0x72, 0x5e, 0x6f, 0xf7, 0x41, 0x6b, 0x6e, 0x87, 0xc5, 0x54, 0xe8, 0xbf, 0x71, 0x68, 0xc8, 0x2b, 0xac, 0xc3, 0x07, 0x9d, 0xea, 0x23, 0x0d, 0x1f]),
bytes([0xbe, 0x2e, 0xa4, 0x4c, 0x56, 0x3c, 0xa5, 0xef, 0x1b, 0x2c, 0xfe, 0x73, 0x6f, 0xf4, 0x5d, 0xc9, 0x71, 0xe0, 0x41, 0x8d, 0xe0, 0x73, 0x5d, 0x47, 0xa8, 0xf6, 0x4d, 0x55, 0x7d, 0x58, 0x1b, 0x05, 0x3b, 0x29, 0x5f, 0xf0, 0x6d, 0xe4, 0x47, 0x46, 0xa9, 0xcd, 0x60, 0xf9, 0x00, 0xf8, 0x86, 0xd8, 0x8c, 0x9f, 0x64, 0x1c, 0x68, 0x10, 0xbf, 0x7d, 0x1d, 0x3a, 0x91, 0x2a, 0xa1, 0x06, 0xf5, 0xe0, 0x26, 0xe8, 0x3e, 0xa3, 0x16, 0x9b, 0x16, 0xaa, 0x90, 0x1d, 0x5a, 0x94, 0x08, 0x0a, 0x73, 0x5e, 0x53, 0xfa, 0x94, 0xaf, 0x72, 0x13, 0x10, 0x04, 0xc2, 0xa1, 0x79, 0xaa, 0xb1, 0xc1, 0xdc, 0x14, 0x4e, 0x26, 0x99, 0x44, 0xac, 0x8d, 0x38, 0xcb, 0x88, 0x9b, 0x4c, 0x6c, 0x4c, 0x37, 0x62, 0x8b, 0xcb, 0x09, 0x17, 0x54, 0x03, 0xe1, 0x88, 0xa6, 0xe0, 0x50, 0x67, 0x4a, 0x74, 0xc4, 0x15, 0xf5])]
output_tags = [bytes([0xaa, 0xbd, 0x84, 0x87, 0xfc, 0x3e, 0x15, 0xc9, 0x63, 0x10, 0x59, 0x89, 0x17, 0xfb, 0x32, 0xfd, 0x27, 0x6a, 0x8f, 0xba, 0x60, 0x83, 0xee, 0x8f, 0x74, 0x7f, 0x32, 0xfd, 0x45, 0x80, 0x96, 0xb2]),
bytes([0x55, 0xf1, 0x90, 0xf7, 0x17, 0x65, 0x62, 0x01, 0x6f, 0x5c, 0x11, 0xa7, 0xd5, 0x11, 0x67, 0x8b, 0xaf, 0x92, 0xeb, 0x02, 0xc3, 0x73, 0xa4, 0x95, 0x10, 0xde, 0xa6, 0x6b, 0xbf, 0x56, 0x3c, 0x5e]),
bytes([0x04, 0xda, 0x3a, 0x82, 0x30, 0x0e, 0x46, 0xc0, 0x7a, 0xaa, 0xcd, 0xed, 0x54, 0x18, 0xd5, 0xfb, 0xa9, 0x1b, 0x4e, 0x6e, 0x70, 0x15, 0x80, 0xe1, 0x5d, 0x08, 0xc2, 0x51, 0xf5, 0x5f, 0x83, 0xc6])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_32_meta_128(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 32 Bytes
Metadata Size - 128 Bytes
"""
# keyLen 128, dataLen 256, ADLen 1024 (in bits)
my_key = bytes([0x01, 0x00, 0xff, 0xfe, 0xfd, 0xfc, 0xfb, 0xfa, 0xf9, 0xf8, 0xf7, 0xf6, 0xf5, 0xf4, 0xf3, 0xf2])
my_message = bytes([0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a])
my_metadata = bytes([0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd])
output_ciphertexts = [bytes([0x26, 0x67, 0xa7, 0x7d, 0xaf, 0xf3, 0x9e, 0x3d, 0xd4, 0x0b, 0x65, 0xa9, 0x6a, 0xb7, 0xd2, 0xa1, 0xcb, 0x0c, 0xd8, 0x0c, 0x44, 0x15, 0x79, 0xa6, 0xbb, 0xb3, 0x9f, 0xec, 0x16, 0xc0, 0x14, 0xc5]),
bytes([0x30, 0x11, 0xb4, 0xbf, 0xe0, 0xfb, 0x2f, 0x3b, 0x7e, 0xd0, 0x2c, 0x53, 0xa0, 0xc6, 0x39, 0x6b, 0xd5, 0x4e, 0x6c, 0x75, 0xc3, 0xd7, 0x19, 0x19, 0xa8, 0x0b, 0x7a, 0xf8, 0xf6, 0x95, 0x89, 0xf3]),
bytes([0x1e, 0xed, 0x26, 0x4d, 0x63, 0x64, 0x93, 0xd8, 0x22, 0xa2, 0x29, 0xb3, 0xb9, 0xf2, 0xaf, 0x49, 0xe0, 0x0d, 0xa4, 0x36, 0xc0, 0x88, 0xd8, 0x6e, 0x48, 0x31, 0x61, 0x49, 0xce, 0xd5, 0x52, 0x12])]
output_tags = [bytes([0x2a, 0xfc, 0x75, 0xe2, 0x3a, 0xf1, 0x65, 0x9d, 0xdb, 0x1e, 0x4d, 0x38, 0x0a, 0xcc, 0x69, 0x79, 0xed, 0x22, 0x83, 0x55, 0xb4, 0x47, 0x31, 0x3a, 0xde, 0x7b, 0xe3, 0x50, 0xfe, 0x88, 0x54, 0x17]),
bytes([0x19, 0x12, 0xac, 0x49, 0xb2, 0x04, 0x05, 0xc0, 0x27, 0x4f, 0xef, 0x04, 0xde, 0x4d, 0x97, 0xf4, 0x16, 0x7c, 0x9d, 0x7a, 0x85, 0xb0, 0xe6, 0x77, 0x96, 0x8e, 0xe8, 0xd4, 0xdb, 0x9d, 0xd5, 0xf3]),
bytes([0x4f, 0xb7, 0xc5, 0x8e, 0xc4, 0x32, 0xfb, 0xd8, 0x47, 0xd3, 0xb9, 0x11, 0x1d, 0x90, 0xcf, 0xd1, 0x8a, 0x95, 0x7a, 0xbc, 0xf8, 0x9a, 0x91, 0x75, 0x56, 0x80, 0x27, 0xc8, 0x83, 0xdb, 0x51, 0xd5])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_64_meta_128(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 64 Bytes
Metadata Size - 128 Bytes
"""
# keyLen 128, dataLen 512, ADLen 1024 (in bits)
my_key = bytes([0xe1, 0xe0, 0xdf, 0xde, 0xdd, 0xdc, 0xdb, 0xda, 0xd9, 0xd8, 0xd7, 0xd6, 0xd5, 0xd4, 0xd3, 0xd2])
my_message = bytes([0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd7, 0xd0, 0xc9, 0xc2, 0xbb, 0xb4, 0xad, 0xa6, 0x9f, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59])
my_metadata = bytes([0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd7, 0xd0, 0xc9, 0xc2, 0xbb, 0xb4, 0xad, 0xa6, 0x9f, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd])
output_ciphertexts = [bytes([0x16, 0xac, 0x29, 0xa1, 0xd0, 0x21, 0xad, 0xad, 0x58, 0x1e, 0x7a, 0xc8, 0xb5, 0xa1, 0x68, 0xb9, 0xed, 0xc1, 0x96, 0x48, 0x55, 0x5e, 0x60, 0xc0, 0xea, 0xb5, 0xcc, 0x98, 0x19, 0xa9, 0x22, 0xd6, 0x6e, 0x03, 0x09, 0xed, 0x00, 0x39, 0x2f, 0xc1, 0x8e, 0x0a, 0xfa, 0x8e, 0x16, 0xa1, 0x14, 0xfb, 0xe0, 0x81, 0xb0, 0xfe, 0x03, 0xbb, 0xed, 0x19, 0xee, 0xfe, 0xb4, 0x2b, 0x65, 0x96, 0x0b, 0x74]),
bytes([0xa8, 0xe5, 0x1d, 0x6b, 0x79, 0x39, 0xfe, 0xf4, 0xf6, 0x12, 0xb1, 0xbc, 0x93, 0x11, 0xf1, 0xe7, 0xee, 0xf0, 0xff, 0x24, 0x0f, 0xb2, 0x9f, 0x06, 0x20, 0x38, 0x51, 0x06, 0x4e, 0x42, 0x16, 0xbd, 0x15, 0x75, 0xd7, 0x79, 0x17, 0x3f, 0x51, 0x8e, 0xf4, 0x11, 0xc4, 0x5b, 0x33, 0xba, 0x3f, 0x53, 0x44, 0x76, 0x4a, 0xc6, 0xfd, 0xb9, 0x13, 0xd3, 0x7a, 0x1a, 0x89, 0xca, 0xcd, 0x9e, 0x48, 0x81]),
bytes([0x72, 0x85, 0xbe, 0xca, 0x14, 0xab, 0x4d, 0xd4, 0x68, 0x3d, 0x62, 0x25, 0x9e, 0xdf, 0x37, 0x56, 0xdc, 0x2a, 0x31, 0x5a, 0xf4, 0x59, 0xee, 0x24, 0x33, 0x09, 0x5d, 0x8e, 0x3b, 0xc8, 0x2b, 0x5e, 0xc8, 0xac, 0x57, 0xce, 0xbb, 0xa4, 0x78, 0x6d, 0xe2, 0x34, 0x02, 0x32, 0x53, 0x3a, 0x6f, 0x1e, 0xfb, 0xbd, 0xeb, 0x89, 0x88, 0x1a, 0x41, 0x01, 0x9e, 0x45, 0x61, 0xaa, 0x15, 0x73, 0x04, 0xcc])]
output_tags = [bytes([0x73, 0x03, 0x5a, 0x1f, 0xd3, 0x96, 0xdd, 0xb3, 0xfc, 0xcf, 0x00, 0x5b, 0x3a, 0xc0, 0x2d, 0xe7, 0xaa, 0x91, 0xf9, 0x51, 0x3e, 0x06, 0x29, 0xc5, 0x06, 0x0f, 0xad, 0x3a, 0xff, 0xd9, 0xec, 0xf7]),
bytes([0xbe, 0x05, 0x9c, 0x6a, 0x65, 0xd8, 0x3a, 0x2b, 0xaa, 0x1c, 0x2e, 0x7a, 0x05, 0x6a, 0x66, 0x95, 0xb3, 0x53, 0x35, 0xc6, 0xbe, 0x20, 0xdc, 0x9b, 0x70, 0xdd, 0xe3, 0x44, 0xba, 0xdd, 0xe7, 0x6e]),
bytes([0x24, 0xb7, 0xc7, 0xf0, 0x79, 0xf3, 0x26, 0x9c, 0xde, 0x5a, 0xb7, 0xfd, 0xd6, 0xb8, 0xef, 0x0f, 0xef, 0xa9, 0x35, 0x15, 0xfe, 0x67, 0x35, 0xf7, 0xb7, 0xff, 0x50, 0xd0, 0x00, 0x2c, 0xf6, 0x6e])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_128_meta_128(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 128 Bytes
Metadata Size - 128 Bytes
"""
# keyLen 128, dataLen 1024, ADLen 1024 (in bits)
my_key = bytes([0xa1, 0xa0, 0x9f, 0x9e, 0x9d, 0x9c, 0x9b, 0x9a, 0x99, 0x98, 0x97, 0x96, 0x95, 0x94, 0x93, 0x92])
my_message = bytes([0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd7, 0xd0, 0xc9, 0xc2, 0xbb, 0xb4, 0xad, 0xa6, 0x9f, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97])
my_metadata = bytes([0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1f, 0x18, 0x11, 0x0a, 0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d])
output_ciphertexts = [bytes([0xfe, 0x40, 0xac, 0x63, 0xb7, 0x68, 0xd0, 0xaf, 0x6c, 0xfe, 0x72, 0x04, 0xd5, 0x5e, 0xf7, 0xd4, 0x45, 0x08, 0x4d, 0x63, 0xe9, 0x9b, 0x99, 0x85, 0xbf, 0x56, 0xf4, 0x09, 0x3f, 0x0b, 0x20, 0x60, 0x8f, 0x47, 0x2f, 0x3d, 0xf7, 0x3b, 0x56, 0xdf, 0x0a, 0x17, 0xa0, 0x83, 0x1a, 0x7f, 0x4c, 0x7a, 0x0d, 0xef, 0xb7, 0x1c, 0xd1, 0x39, 0xe3, 0x87, 0x16, 0x94, 0x5d, 0xdf, 0x7c, 0xd3, 0xd5, 0x02, 0xda, 0xac, 0x88, 0x7f, 0x9e, 0xd5, 0x73, 0x33, 0xeb, 0x31, 0xd0, 0x8f, 0x09, 0x68, 0xad, 0xcf, 0x84, 0xa4, 0x24, 0x13, 0x0a, 0xed, 0xd8, 0x3a, 0x15, 0xdb, 0xf1, 0x1a, 0xc2, 0xa8, 0x96, 0x60, 0x25, 0xac, 0x05, 0x29, 0xd6, 0x8d, 0x9a, 0xc1, 0xf3, 0x3f, 0xbd, 0x27, 0x44, 0x8d, 0x2e, 0x03, 0x85, 0xda, 0xf9, 0x1d, 0xd5, 0x57, 0x4c, 0x01, 0xb8, 0x81, 0xa2, 0x88, 0xa8, 0x1e, 0x61, 0x72]),
bytes([0xd4, 0x96, 0xf7, 0x3c, 0xef, 0x8d, 0x1e, 0x75, 0x0f, 0xad, 0x78, 0x38, 0x11, 0x2f, 0x18, 0x00, 0xe0, 0x3c, 0x13, 0x9f, 0x3a, 0x79, 0x32, 0x62, 0x23, 0x39, 0x64, 0x58, 0x27, 0xaa, 0xe5, 0x20, 0x90, 0x1e, 0xaf, 0xc5, 0xee, 0x5f, 0x42, 0x35, 0x14, 0xe9, 0x1f, 0x30, 0x4f, 0x06, 0x7c, 0x92, 0xd5, 0x5b, 0xce, 0x06, 0x0d, 0x73, 0x8c, 0xe7, 0xf2, 0xdc, 0x1e, 0x75, 0x90, 0x5b, 0xa4, 0xa3, 0xcd, 0x2b, 0x6d, 0xbe, 0xaa, 0x38, 0x6f, 0x66, 0x5d, 0x83, 0x0c, 0xf1, 0x46, 0x4c, 0x65, 0xc8, 0x09, 0x44, 0x6a, 0x1f, 0x73, 0xde, 0xf0, 0xf2, 0x43, 0x90, 0xde, 0xca, 0x4f, 0xc3, 0x06, 0x4e, 0x11, 0xb9, 0x68, 0x24, 0x6f, 0xdc, 0x9d, 0xc9, 0xd1, 0x8a, 0x1a, 0xd3, 0x41, 0xd3, 0x24, 0x59, 0x7c, 0x17, 0x71, 0x38, 0xeb, 0xe7, 0x00, 0xea, 0xba, 0x6c, 0xcf, 0x45, 0x85, 0x60, 0x2b, 0xf2]),
bytes([0x8d, 0x00, 0xe2, 0x09, 0xb3, 0x84, 0xf8, 0x52, 0x78, 0x04, 0xe2, 0xa5, 0xcf, 0x6e, 0x07, 0xf0, 0x1b, 0xb4, 0xe9, 0xfb, 0xbc, 0x9d, 0x6a, 0x11, 0x30, 0xab, 0x31, 0x99, 0x8b, 0x4f, 0xde, 0x11, 0xf6, 0x3f, 0x4c, 0x7e, 0x82, 0xd6, 0x4f, 0xc4, 0x93, 0x1c, 0x22, 0x5a, 0x0c, 0x15, 0xa1, 0x37, 0x3e, 0x88, 0x55, 0x1d, 0x10, 0x8c, 0x6f, 0xa7, 0xe7, 0xb6, 0x73, 0x42, 0xc7, 0x8e, 0x6e, 0x42, 0xe2, 0x36, 0x5c, 0x65, 0x2d, 0xb6, 0x3d, 0x94, 0x49, 0xd3, 0x96, 0x9f, 0xd9, 0x8d, 0x2e, 0x22, 0x1b, 0xee, 0x6d, 0xb5, 0xc4, 0xf8, 0x79, 0x30, 0xe5, 0x04, 0xab, 0xef, 0x9a, 0x99, 0xc0, 0xc4, 0xc8, 0xaa, 0x78, 0xc6, 0x60, 0x7d, 0xdf, 0x2d, 0x98, 0xeb, 0xf8, 0x66, 0x3b, 0xcd, 0x51, 0x90, 0x4b, 0x7a, 0xab, 0x9c, 0x57, 0xdf, 0x4f, 0x31, 0xe7, 0x89, 0xd7, 0xa0, 0xd0, 0xea, 0xbc, 0xe0])]
output_tags = [bytes([0xcc, 0xb6, 0xa1, 0xca, 0x8a, 0x6c, 0x7d, 0xbf, 0x86, 0x38, 0xbc, 0xc9, 0x3b, 0x9a, 0xff, 0x26, 0x65, 0x90, 0xe9, 0x2b, 0xec, 0xb1, 0xf6, 0x0f, 0x47, 0x30, 0xf0, 0x84, 0x8a, 0xc5, 0xdb, 0x75]),
bytes([0xed, 0x0c, 0x25, 0xf0, 0xd5, 0xd8, 0xcc, 0x3d, 0x2a, 0x3d, 0x7f, 0x80, 0x39, 0xaa, 0x4a, 0x31, 0xf3, 0x30, 0x38, 0x25, 0xb6, 0xeb, 0xdd, 0x11, 0xca, 0x43, 0xc7, 0x03, 0x0b, 0x76, 0xd1, 0x20]),
bytes([0x0a, 0xe5, 0xcb, 0xf6, 0xce, 0x26, 0x18, 0xe4, 0x41, 0x3f, 0xef, 0xe5, 0xef, 0x9b, 0x81, 0x5d, 0x26, 0xad, 0x71, 0x00, 0x3a, 0xc0, 0x2f, 0x4b, 0x2a, 0xdb, 0xaa, 0x31, 0x5b, 0x95, 0x34, 0x93])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_128_meta_0(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 128 Bytes
Metadata Size - 0 Bytes
"""
# keyLen 128, dataLen 1024, ADLen 0 (in bits)
my_key = bytes([0x21, 0x20, 0x1f, 0x1e, 0x1d, 0x1c, 0x1b, 0x1a, 0x19, 0x18, 0x17, 0x16, 0x15, 0x14, 0x13, 0x12])
my_message = bytes([0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1f, 0x18, 0x11, 0x0a, 0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17])
my_metadata = bytes([])
output_ciphertexts = [bytes([0xf0, 0x2c, 0x19, 0x78, 0x3b, 0xf5, 0x66, 0x4a, 0x87, 0x73, 0x8e, 0xf7, 0x5c, 0x7e, 0x6a, 0xe3, 0x78, 0xc3, 0xd2, 0x26, 0x8a, 0x9a, 0xdd, 0x4a, 0xe8, 0xfd, 0xbf, 0x5e, 0x67, 0xce, 0x72, 0xb2, 0xd6, 0xa5, 0xca, 0x33, 0x4a, 0x80, 0xdb, 0x57, 0x2d, 0xe7, 0xc8, 0x33, 0xc6, 0x93, 0xe8, 0xf8, 0x7d, 0xb6, 0x7a, 0xc1, 0x9d, 0x9e, 0xbd, 0xba, 0xcb, 0x2f, 0x0f, 0x4c, 0x2a, 0x0f, 0xa7, 0xc1, 0xa5, 0x48, 0x37, 0xa1, 0xad, 0xc7, 0x13, 0x1f, 0xfd, 0x1d, 0x5f, 0xbf, 0x89, 0x18, 0xe6, 0x74, 0xb1, 0x96, 0xd9, 0xe3, 0x6f, 0x6a, 0xbe, 0xb7, 0x03, 0x98, 0xf2, 0xc3, 0x78, 0xbd, 0x03, 0x90, 0x19, 0x06, 0x1e, 0x33, 0x39, 0x47, 0xcb, 0xa3, 0xec, 0x0b, 0x46, 0x68, 0x8e, 0x3f, 0x4d, 0x7e, 0x40, 0x79, 0x38, 0x6a, 0x25, 0xcd, 0x3a, 0x8d, 0xe2, 0xe3, 0x6c, 0xbc, 0x84, 0xd9, 0x4e, 0xbc]),
bytes([0xec, 0x91, 0xfc, 0x6f, 0x07, 0x0a, 0x88, 0xf4, 0x27, 0xaf, 0xd9, 0xae, 0x63, 0x46, 0x9c, 0x77, 0x83, 0x26, 0x5a, 0x45, 0x63, 0x3f, 0xa0, 0x8e, 0xca, 0x8e, 0xb5, 0xa4, 0x69, 0x80, 0x09, 0x8c, 0xe9, 0x03, 0x43, 0x69, 0xc9, 0x3e, 0xd6, 0xf9, 0x1d, 0x89, 0xe0, 0x04, 0xda, 0x9a, 0x9b, 0x4f, 0x10, 0xc6, 0x90, 0xcf, 0x6c, 0x0a, 0x94, 0x3e, 0x50, 0x89, 0xcc, 0x39, 0xf5, 0xc4, 0x58, 0x37, 0x19, 0x52, 0x71, 0xf1, 0x35, 0xec, 0x25, 0xe4, 0x7c, 0xf8, 0xdf, 0xee, 0xf6, 0x7a, 0x5f, 0x59, 0xf1, 0x0b, 0x1a, 0xfd, 0xbc, 0x2d, 0x40, 0xf4, 0x4e, 0xea, 0x1d, 0x72, 0x01, 0x2e, 0x7e, 0xc0, 0x18, 0x8d, 0x28, 0xc3, 0xf5, 0x9d, 0xe2, 0x3a, 0x19, 0xb1, 0x36, 0x8c, 0x29, 0xe0, 0xd2, 0xf8, 0x76, 0x42, 0xdf, 0xfc, 0x02, 0xc9, 0x2e, 0xec, 0x06, 0x40, 0x61, 0xd9, 0xea, 0xf5, 0x61, 0xd9]),
bytes([0x53, 0xc3, 0xee, 0xd6, 0xb9, 0x17, 0x0c, 0xe0, 0x2b, 0x38, 0x1e, 0x43, 0x69, 0x37, 0xc0, 0xbb, 0xbf, 0xfd, 0xb4, 0x15, 0x7f, 0x3e, 0x02, 0x51, 0x21, 0x0d, 0x78, 0x7b, 0x55, 0xe9, 0x5b, 0xa4, 0x05, 0x40, 0x2a, 0xb2, 0x2a, 0x24, 0x99, 0x99, 0xe5, 0x1d, 0x1c, 0xb0, 0x0a, 0xc2, 0x86, 0xe0, 0xb7, 0x8f, 0xb6, 0x92, 0xb6, 0xf4, 0xa1, 0xe0, 0x13, 0xaa, 0x06, 0x36, 0xb7, 0x18, 0x4f, 0xdc, 0x71, 0xbe, 0x17, 0xe4, 0xbd, 0x72, 0x0c, 0x79, 0x0b, 0x48, 0x5f, 0x75, 0x77, 0xf8, 0x0b, 0x21, 0xb7, 0xa4, 0x1b, 0x19, 0xa0, 0xa1, 0x3f, 0xb6, 0x94, 0x7c, 0x96, 0x53, 0x5c, 0x5c, 0xc9, 0xbb, 0xd7, 0x55, 0xb6, 0x9a, 0xdc, 0x68, 0x55, 0x7c, 0x2c, 0x68, 0x34, 0x55, 0x7a, 0x3b, 0x32, 0x1e, 0xc8, 0x7c, 0x74, 0x7f, 0x43, 0xe1, 0x09, 0x40, 0xd2, 0x9f, 0x6a, 0x2e, 0x7a, 0x41, 0xf3, 0xf7])]
output_tags = [bytes([0x20, 0x17, 0xc9, 0xae, 0xd1, 0x79, 0xed, 0xea, 0xbe, 0xc5, 0x85, 0x45, 0xa5, 0x72, 0xef, 0xfd, 0x62, 0x39, 0xaf, 0xc7, 0xb5, 0x3d, 0xfd, 0xb1, 0xda, 0x6f, 0xd1, 0x9a, 0xcc, 0xd3, 0x4b, 0x54]),
bytes([0xbc, 0x15, 0xa0, 0x5b, 0x0c, 0xbd, 0x48, 0xdc, 0x98, 0xff, 0x1c, 0x7c, 0x2a, 0x51, 0x56, 0xf7, 0xaf, 0x5d, 0xf7, 0xd4, 0xeb, 0xee, 0x20, 0x75, 0x8d, 0x3c, 0xa3, 0xeb, 0xfc, 0x34, 0xd5, 0x91]),
bytes([0xe7, 0x13, 0x6f, 0x9f, 0x7f, 0x15, 0x0a, 0x47, 0x68, 0xcc, 0x9a, 0xbf, 0x80, 0xbc, 0xad, 0x6f, 0xd2, 0x30, 0xc4, 0x28, 0xdd, 0x18, 0x47, 0x8f, 0x18, 0x7e, 0x9a, 0x79, 0xc2, 0xa8, 0xb7, 0x9d])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_128_meta_8(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 128 Bytes
Metadata Size - 8 Bytes
"""
# keyLen 128, dataLen 1024, ADLen 64 (in bits)
my_key = bytes([0xd9, 0xd8, 0xd7, 0xd6, 0xd5, 0xd4, 0xd3, 0xd2, 0xd1, 0xd0, 0xcf, 0xce, 0xcd, 0xcc, 0xcb, 0xca])
my_message = bytes([0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd7, 0xd0, 0xc9, 0xc2, 0xbb, 0xb4, 0xad, 0xa6, 0x9f, 0x98, 0x91, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf])
my_metadata = bytes([0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8])
output_ciphertexts = [bytes([0xf7, 0x24, 0x41, 0x6a, 0xe1, 0x41, 0x97, 0xe0, 0x09, 0x85, 0x3f, 0x56, 0xab, 0x84, 0x5f, 0x31, 0xe7, 0xf4, 0x8d, 0x98, 0xf6, 0xbb, 0x7f, 0xd1, 0x33, 0x0d, 0x1c, 0xe1, 0xbf, 0x22, 0xea, 0x71, 0x1c, 0x49, 0xaf, 0xaa, 0x54, 0x4b, 0x5a, 0x0e, 0x9b, 0x0b, 0xff, 0x72, 0x35, 0x00, 0x35, 0xed, 0x94, 0x3c, 0x50, 0x82, 0x88, 0x95, 0xe6, 0xfe, 0x6f, 0x35, 0x64, 0x0e, 0x24, 0x8b, 0x92, 0xeb, 0xcd, 0x6d, 0x0b, 0x68, 0x05, 0x1a, 0x33, 0x34, 0x7f, 0xb1, 0x87, 0x31, 0x52, 0xc9, 0x24, 0xa5, 0x47, 0x84, 0x38, 0x2f, 0xfc, 0x75, 0x5a, 0x9e, 0x58, 0x8d, 0x8a, 0xb8, 0xe6, 0x60, 0xad, 0x8a, 0x0b, 0x38, 0x98, 0xb2, 0x49, 0xf0, 0xbe, 0xa4, 0xd6, 0xa0, 0x46, 0x4c, 0x31, 0x1b, 0x34, 0xb5, 0xcd, 0xd3, 0x2b, 0x03, 0xeb, 0x2e, 0x39, 0x0a, 0xa4, 0xe2, 0x95, 0xb1, 0x34, 0xfe, 0xf3, 0x00]),
bytes([0xda, 0x30, 0xf7, 0x46, 0x5d, 0x4f, 0x13, 0xc4, 0x1c, 0x2a, 0x73, 0x52, 0x93, 0x65, 0x47, 0xd6, 0xc8, 0x28, 0x24, 0x65, 0xdf, 0x3a, 0x6f, 0x7d, 0xf9, 0x14, 0x43, 0x37, 0xe3, 0x3d, 0xe7, 0x0a, 0xb9, 0x34, 0x61, 0xbf, 0xf6, 0xa4, 0x85, 0x0c, 0x39, 0xd8, 0x7e, 0x1c, 0x03, 0x4d, 0xc9, 0xbd, 0xc9, 0xbd, 0x50, 0x2e, 0x16, 0x66, 0xf6, 0x3a, 0xcc, 0xf1, 0xc4, 0xe8, 0xf0, 0xd9, 0xde, 0x4b, 0xe2, 0x24, 0x7c, 0x7c, 0x58, 0x01, 0x64, 0x23, 0x41, 0x9b, 0xe3, 0xe1, 0xe4, 0x61, 0xef, 0x40, 0x77, 0x24, 0xc6, 0xca, 0x90, 0x5f, 0x65, 0xbc, 0x68, 0x6f, 0x0b, 0xa7, 0xa2, 0xf4, 0x6a, 0x73, 0xce, 0x7c, 0x55, 0x06, 0x3c, 0x20, 0x72, 0x20, 0x2a, 0x82, 0xf2, 0x2c, 0xbb, 0x6b, 0xa8, 0xbc, 0x77, 0x6a, 0x09, 0x8e, 0x92, 0x78, 0xb5, 0xe7, 0xf3, 0x34, 0x70, 0xae, 0x06, 0xad, 0x3c, 0x19]),
bytes([0x7e, 0xfa, 0xeb, 0x6b, 0x50, 0xbb, 0x26, 0x67, 0x82, 0xb2, 0xe8, 0x41, 0x8d, 0x0f, 0xed, 0x35, 0x61, 0x4c, 0xaf, 0x4f, 0xae, 0x07, 0xa3, 0x70, 0x64, 0x3e, 0xc5, 0x16, 0x7f, 0xaf, 0x54, 0xe6, 0xcc, 0xa9, 0xd9, 0xcd, 0x40, 0x98, 0xc8, 0x0f, 0xa0, 0xb2, 0x4b, 0x89, 0xb0, 0x43, 0xdc, 0xba, 0xf9, 0x2e, 0xa2, 0xc8, 0xeb, 0xc3, 0x6f, 0x0d, 0xb4, 0x0f, 0x04, 0xb5, 0x3b, 0xe5, 0xa8, 0xd4, 0x15, 0xdf, 0x53, 0x7a, 0x9c, 0xcc, 0x63, 0x55, 0xb9, 0xd9, 0xe3, 0x7e, 0x5e, 0xb6, 0x9e, 0xad, 0xf8, 0x4b, 0x0e, 0x20, 0x37, 0xe6, 0x81, 0x5d, 0xa1, 0x92, 0x20, 0x4d, 0xe0, 0x1b, 0x97, 0x1a, 0x13, 0x22, 0xda, 0xcc, 0xb9, 0xbd, 0xa8, 0xf2, 0x5b, 0x40, 0x40, 0xb4, 0x93, 0xed, 0x36, 0x9f, 0xb7, 0xda, 0x8d, 0x03, 0x56, 0x57, 0x38, 0xcc, 0xef, 0x82, 0x56, 0xdf, 0x09, 0xf8, 0x0d, 0xf1])]
output_tags = [bytes([0xf5, 0xfd, 0x70, 0x18, 0x02, 0x2e, 0x09, 0x3f, 0x22, 0x0a, 0x60, 0xf7, 0xd6, 0xfd, 0x41, 0xea, 0x54, 0x5c, 0x25, 0x0b, 0x70, 0x15, 0x07, 0xf8, 0xec, 0xc4, 0xc1, 0x52, 0x13, 0xe8, 0xfc, 0x15]),
bytes([0xaf, 0x92, 0x8a, 0xb7, 0xab, 0x9d, 0x1b, 0xa2, 0x3e, 0x93, 0x5d, 0x70, 0xfb, 0x80, 0x4d, 0x8f, 0x5a, 0x7a, 0xe2, 0xae, 0xc9, 0x20, 0x38, 0xe7, 0x21, 0xcd, 0x2f, 0x44, 0xd7, 0x48, 0x49, 0xd4]),
bytes([0xef, 0xad, 0xf1, 0x14, 0x34, 0x93, 0x31, 0xc8, 0x92, 0xd6, 0x50, 0x2b, 0x2d, 0x18, 0x20, 0x9d, 0x8e, 0xdc, 0x4f, 0x38, 0x99, 0xb9, 0xce, 0xdd, 0x04, 0xe5, 0xd7, 0xe2, 0xd3, 0x6c, 0x22, 0x6f])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_128_meta_16(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 128 Bytes
Metadata Size - 16 Bytes
"""
# keyLen 128, dataLen 1024, ADLen 128 (in bits)
my_key = bytes([0x91, 0x90, 0x8f, 0x8e, 0x8d, 0x8c, 0x8b, 0x8a, 0x89, 0x88, 0x87, 0x86, 0x85, 0x84, 0x83, 0x82])
my_message = bytes([0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87])
my_metadata = bytes([0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30])
output_ciphertexts = [bytes([0xb6, 0x9e, 0xaa, 0xf2, 0x48, 0x92, 0x1b, 0x7c, 0xfd, 0x8a, 0x6d, 0x0e, 0xb1, 0xdd, 0x1c, 0x01, 0x64, 0x56, 0x15, 0x3c, 0xec, 0xf2, 0xa7, 0x64, 0xd0, 0x31, 0xe2, 0xf9, 0x72, 0x30, 0x10, 0xe0, 0x52, 0x31, 0x69, 0xb1, 0x22, 0xec, 0xa4, 0x81, 0x8e, 0x40, 0x62, 0x24, 0xb0, 0xeb, 0xa8, 0xb7, 0x55, 0x45, 0xf2, 0x16, 0xe7, 0x86, 0xe6, 0xd3, 0x69, 0x41, 0x4f, 0x75, 0xf9, 0xbc, 0xca, 0xfe, 0x34, 0xf5, 0xb8, 0x22, 0x0c, 0x99, 0x66, 0x82, 0x86, 0x2c, 0x60, 0x87, 0x1c, 0x09, 0xfc, 0x54, 0x7b, 0x3c, 0xe2, 0x29, 0x20, 0x3c, 0xe9, 0xb6, 0x62, 0xaa, 0x1e, 0x74, 0xdd, 0x4d, 0x0c, 0x4a, 0xeb, 0x3d, 0x5a, 0x73, 0x4c, 0xfe, 0xdc, 0x40, 0x64, 0x16, 0x88, 0xf9, 0x3b, 0xda, 0x8f, 0x5f, 0x2b, 0xe7, 0xe5, 0xdb, 0x4e, 0x20, 0xcb, 0x5c, 0x13, 0xd6, 0x05, 0xb4, 0x54, 0x14, 0x97, 0x48]),
bytes([0x37, 0x52, 0x7b, 0x29, 0xc8, 0xce, 0xe2, 0xd7, 0x9d, 0x5e, 0x6f, 0xec, 0xbd, 0x4d, 0xd7, 0x84, 0xf6, 0x34, 0xf5, 0x55, 0x40, 0xe2, 0xa4, 0x0e, 0xef, 0x7b, 0x3f, 0xbb, 0x9a, 0xa2, 0xab, 0xb2, 0x42, 0xd3, 0x3c, 0x78, 0x1b, 0x29, 0x96, 0x8c, 0xc9, 0x2a, 0xeb, 0x08, 0xea, 0x8f, 0x21, 0x7f, 0x40, 0x1e, 0x35, 0x4f, 0x4e, 0xd5, 0x27, 0xe9, 0x0d, 0xe2, 0x9a, 0xe8, 0x55, 0x63, 0xf6, 0xaf, 0xd9, 0xe8, 0x7a, 0x8b, 0x1d, 0xc3, 0x9f, 0x90, 0xd5, 0xdb, 0x31, 0x53, 0xeb, 0x0d, 0x00, 0x40, 0x01, 0x90, 0xd7, 0x3e, 0xdd, 0xea, 0x47, 0x48, 0x9c, 0x89, 0x64, 0x06, 0x46, 0x82, 0x7d, 0x33, 0x7b, 0x33, 0xea, 0x39, 0xcb, 0xc9, 0x95, 0xe0, 0x36, 0xa5, 0xeb, 0x08, 0xa9, 0xb2, 0x55, 0x5c, 0x31, 0x06, 0xea, 0x03, 0xbd, 0x6d, 0x97, 0x58, 0x7b, 0xe8, 0x9a, 0x8a, 0x38, 0xc3, 0x86, 0x31]),
bytes([0x05, 0x7a, 0x47, 0xcb, 0x50, 0x78, 0x13, 0xf3, 0xef, 0xc9, 0xd2, 0x0f, 0x79, 0xa4, 0xdf, 0x2a, 0xa1, 0x12, 0x31, 0x55, 0x75, 0x60, 0x49, 0xa1, 0xea, 0xe7, 0x85, 0x09, 0x89, 0x01, 0x54, 0xf8, 0x95, 0xd2, 0x23, 0x77, 0x42, 0xb5, 0x2c, 0x61, 0xb5, 0x31, 0xa2, 0xd4, 0x2f, 0xc7, 0x85, 0xf5, 0x08, 0xc4, 0xe4, 0x82, 0xed, 0x03, 0xc8, 0xb6, 0xd3, 0xad, 0x8c, 0xdd, 0x48, 0x53, 0x60, 0x4b, 0x49, 0xf9, 0x16, 0x61, 0x06, 0xb8, 0xdd, 0xa0, 0x73, 0xce, 0x2b, 0x2e, 0x36, 0x84, 0x5d, 0x4c, 0x69, 0x27, 0xf6, 0x89, 0x31, 0x2f, 0xd8, 0xc6, 0x5b, 0x94, 0xed, 0x69, 0xf3, 0x31, 0xee, 0xbc, 0x48, 0xa6, 0xe7, 0x5f, 0x25, 0x80, 0x5d, 0xf2, 0xf0, 0x38, 0xb4, 0xa4, 0x44, 0xd7, 0x5a, 0xfb, 0xe6, 0xf0, 0x6b, 0x7e, 0xa3, 0x43, 0xa0, 0xb7, 0x58, 0xed, 0x03, 0x3c, 0x25, 0x89, 0xdd, 0x44])]
output_tags = [bytes([0x88, 0x24, 0xa1, 0xf1, 0x26, 0xd2, 0x1a, 0xb5, 0xf4, 0xce, 0x7e, 0x2e, 0xbd, 0xa8, 0xf8, 0x30, 0xa9, 0xa0, 0xa8, 0x02, 0x67, 0xee, 0x9b, 0xb0, 0x64, 0xd7, 0xef, 0x05, 0xaf, 0x83, 0x08, 0x54]),
bytes([0x94, 0xf3, 0xc6, 0x33, 0xcd, 0xc4, 0xc8, 0x5b, 0xe8, 0x9e, 0xa1, 0xa6, 0x8b, 0xe5, 0x84, 0x49, 0x26, 0x77, 0xb8, 0xa8, 0xf2, 0x10, 0x18, 0xa9, 0x8f, 0xf4, 0x16, 0x76, 0x59, 0x76, 0x16, 0xfc]),
bytes([0x62, 0xb2, 0xc7, 0x76, 0x7c, 0xbc, 0x9e, 0x3f, 0xec, 0x04, 0xcc, 0xec, 0xcf, 0xc0, 0xc5, 0xea, 0xde, 0xb4, 0xcd, 0xd2, 0xcb, 0xf0, 0xb9, 0xe4, 0xa3, 0xf3, 0x9f, 0x57, 0x9d, 0x1e, 0x22, 0xa7])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_128_meta_32(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 128 Bytes
Metadata Size - 32 Bytes
"""
# keyLen 128, dataLen 1024, ADLen 256 (in bits)
my_key = bytes([0x01, 0x00, 0xff, 0xfe, 0xfd, 0xfc, 0xfb, 0xfa, 0xf9, 0xf8, 0xf7, 0xf6, 0xf5, 0xf4, 0xf3, 0xf2])
my_message = bytes([0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1f, 0x18, 0x11, 0x0a, 0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd0, 0xc9, 0xc2, 0xbb, 0xb4, 0xad, 0xa6, 0x9f, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7])
my_metadata = bytes([0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40])
output_ciphertexts = [bytes([0xea, 0xbb, 0x77, 0x15, 0x4a, 0x0a, 0x38, 0x43, 0x05, 0x2f, 0x67, 0x81, 0x2d, 0x17, 0x46, 0x72, 0x4f, 0xfd, 0x6e, 0x9a, 0x34, 0x52, 0xaf, 0x82, 0xed, 0xbc, 0xb9, 0xa5, 0x0d, 0x96, 0xeb, 0x35, 0x81, 0x27, 0xd4, 0x57, 0x51, 0x4f, 0x60, 0xbb, 0x89, 0xd9, 0x60, 0xa5, 0x27, 0x76, 0x76, 0x66, 0x59, 0xea, 0xf7, 0x40, 0x64, 0xf3, 0x36, 0x11, 0x3b, 0xff, 0x5c, 0xa4, 0xc7, 0x11, 0x9f, 0xb7, 0xd0, 0xe0, 0x62, 0x40, 0xb7, 0xcd, 0xfe, 0xfe, 0x13, 0xac, 0xb6, 0x3c, 0xf5, 0xb0, 0x47, 0x10, 0x95, 0x52, 0xab, 0xb4, 0xcd, 0xcc, 0x06, 0xd7, 0x7c, 0xd6, 0xb6, 0xf8, 0xe4, 0xd1, 0x41, 0x84, 0xaa, 0x58, 0xdd, 0x3b, 0x08, 0x43, 0x54, 0xa0, 0x93, 0xd0, 0xaa, 0x11, 0xa8, 0x35, 0xc5, 0xd7, 0x5b, 0xbe, 0xce, 0x78, 0x6e, 0x30, 0xa0, 0x59, 0x11, 0x34, 0x6d, 0x83, 0xf4, 0xbd, 0xc3, 0xca]),
bytes([0xda, 0xd0, 0x8f, 0xb1, 0x8f, 0x14, 0xb7, 0xe6, 0xbb, 0xec, 0x4c, 0x5c, 0xce, 0xc8, 0x39, 0xdd, 0xb5, 0x70, 0x42, 0x9a, 0xdd, 0xa0, 0xa7, 0x1c, 0x02, 0xb6, 0x8b, 0x42, 0x3a, 0x48, 0x77, 0x35, 0x10, 0x0c, 0x4a, 0x72, 0x6c, 0x3d, 0x61, 0x0b, 0x65, 0x8b, 0x9e, 0x4c, 0xfc, 0xde, 0x58, 0xfa, 0xd0, 0xa9, 0x42, 0xa9, 0x15, 0xd9, 0xed, 0x69, 0x2b, 0x42, 0x5e, 0xd2, 0xc8, 0x5f, 0x1f, 0xec, 0x5a, 0x85, 0x3b, 0x25, 0x00, 0xbe, 0xe2, 0xe0, 0x8d, 0x83, 0xcb, 0x79, 0xf3, 0x49, 0x2e, 0xde, 0x18, 0x9a, 0xc5, 0x9c, 0xdc, 0x05, 0xb2, 0xc5, 0x4a, 0xc7, 0x4c, 0xc3, 0xbe, 0xc5, 0x7a, 0xd7, 0x5c, 0x7a, 0x3e, 0xff, 0xef, 0xf9, 0xf1, 0x77, 0x0d, 0x07, 0x8b, 0x30, 0x22, 0x92, 0x8a, 0x06, 0x77, 0x01, 0x0a, 0x37, 0x5b, 0x49, 0xc4, 0xfc, 0x73, 0xf6, 0xcf, 0x5a, 0x6e, 0xf5, 0xd0, 0x97]),
bytes([0xd6, 0x06, 0xf2, 0x69, 0x9b, 0xb0, 0x10, 0x7b, 0x12, 0x0f, 0xb9, 0xca, 0x44, 0x33, 0x56, 0x39, 0xa8, 0xf3, 0x68, 0x79, 0x29, 0x63, 0x27, 0x99, 0xe7, 0xa0, 0x41, 0x83, 0xbc, 0x1e, 0x57, 0x97, 0xd9, 0xb2, 0x14, 0xc6, 0xbe, 0x4b, 0xfe, 0xf5, 0xeb, 0xaa, 0xe8, 0x41, 0x3f, 0x04, 0xb5, 0x88, 0x1f, 0x22, 0xf5, 0xe2, 0x72, 0x45, 0xe2, 0x72, 0xe4, 0x16, 0x5e, 0x5b, 0x5b, 0xbf, 0xfe, 0x50, 0xed, 0xeb, 0x2a, 0xd4, 0x9e, 0x40, 0xe7, 0xb0, 0x97, 0x47, 0x09, 0x8f, 0x32, 0x30, 0x44, 0x6c, 0xe0, 0x53, 0x6a, 0x33, 0xe9, 0x28, 0x63, 0xd6, 0x1e, 0xf1, 0xfb, 0x58, 0xfa, 0xbd, 0x9a, 0xab, 0x17, 0x1d, 0xd4, 0xe4, 0xdd, 0xad, 0xb6, 0x87, 0xd1, 0x27, 0x24, 0x06, 0x48, 0xc2, 0x46, 0x57, 0x3e, 0xb0, 0xca, 0xff, 0x2a, 0x1c, 0x1e, 0x0d, 0xa9, 0xe0, 0x46, 0x44, 0x0e, 0x01, 0xf9, 0x3a])]
output_tags = [bytes([0x8b, 0x01, 0x72, 0x98, 0x60, 0xcf, 0x1c, 0x76, 0x19, 0xa3, 0x02, 0xc1, 0x8e, 0xe5, 0x57, 0xd7, 0x65, 0x28, 0xbe, 0xc5, 0x24, 0xa4, 0xc6, 0xcb, 0x69, 0xb8, 0xfd, 0x08, 0xbd, 0x99, 0x44, 0xea]),
bytes([0xf0, 0x72, 0x77, 0x5d, 0xb0, 0x5b, 0xf5, 0x39, 0xf1, 0x00, 0xe0, 0x9f, 0x01, 0xaa, 0xcd, 0xd9, 0x40, 0x26, 0x90, 0x2d, 0x6c, 0x0f, 0xa9, 0x1c, 0xc6, 0x6f, 0xb0, 0x10, 0x06, 0x02, 0xc9, 0xc3]),
bytes([0xbe, 0x72, 0x80, 0xdd, 0x0c, 0x45, 0xc3, 0xc8, 0xd7, 0x6b, 0x49, 0x6c, 0xed, 0x57, 0x34, 0xfc, 0x69, 0x7e, 0x18, 0x0f, 0x40, 0xf5, 0x8f, 0x07, 0xce, 0x85, 0x37, 0x3e, 0x3d, 0x67, 0x38, 0x62])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_128_meta_64(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 128 Bytes
Metadata Size - 64 Bytes
"""
# keyLen 128, dataLen 1024, ADLen 512 (in bits)
my_key = bytes([0xe1, 0xe0, 0xdf, 0xde, 0xdd, 0xdc, 0xdb, 0xda, 0xd9, 0xd8, 0xd7, 0xd6, 0xd5, 0xd4, 0xd3, 0xd2])
my_message = bytes([0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd7])
my_metadata = bytes([0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f])
output_ciphertexts = [bytes([0x2c, 0x87, 0xa3, 0x68, 0x23, 0xbf, 0x57, 0x58, 0x09, 0x05, 0xd5, 0xd4, 0xfd, 0x48, 0x74, 0x11, 0xfd, 0x63, 0x18, 0x79, 0xb7, 0x9a, 0x43, 0x20, 0xf5, 0xf3, 0x9e, 0x5a, 0x7e, 0x92, 0x0d, 0x47, 0x21, 0xef, 0x1e, 0x51, 0x32, 0x9d, 0x50, 0x5e, 0xa4, 0x15, 0xed, 0xc0, 0x74, 0x51, 0x42, 0x0a, 0xd8, 0xb6, 0x42, 0xd7, 0xe6, 0x1f, 0xf3, 0xca, 0x14, 0xf4, 0x01, 0x81, 0x7e, 0x41, 0x74, 0xa8, 0x40, 0xe5, 0x2b, 0xce, 0x3f, 0x1a, 0xa5, 0xf7, 0x7b, 0xfd, 0x3c, 0x4f, 0xcb, 0x8f, 0x87, 0x8c, 0xe2, 0x0f, 0x5c, 0x5f, 0x78, 0xed, 0xb6, 0xbb, 0x06, 0xeb, 0xa7, 0xc8, 0xe7, 0xe4, 0x8d, 0x27, 0x53, 0xa8, 0x20, 0x87, 0x7a, 0x44, 0x14, 0xdf, 0x64, 0xef, 0x3a, 0xaa, 0x84, 0xad, 0xc0, 0x0f, 0x99, 0xf2, 0x76, 0xad, 0x94, 0x8a, 0x9d, 0x08, 0xd7, 0xae, 0xb6, 0xc5, 0x30, 0x68, 0x0d, 0xc9]),
bytes([0x4f, 0x5e, 0x2e, 0xc8, 0xfd, 0x46, 0xbb, 0x82, 0x83, 0xaf, 0x84, 0xfc, 0xaa, 0x7a, 0xc7, 0xf5, 0xf9, 0x92, 0x20, 0x15, 0x95, 0x8f, 0x68, 0x3a, 0x95, 0xc4, 0x3e, 0x0f, 0x23, 0x73, 0xbf, 0xa7, 0xc8, 0x59, 0x31, 0xa9, 0x93, 0x48, 0xc4, 0x2e, 0x95, 0x7e, 0x95, 0x74, 0x45, 0x93, 0xdf, 0xb8, 0xea, 0x46, 0xb9, 0xc2, 0x76, 0x5a, 0xb7, 0xeb, 0xe4, 0xbe, 0xff, 0xda, 0xf2, 0x88, 0x7e, 0xa4, 0x01, 0xc0, 0xad, 0x26, 0x21, 0x2b, 0xa9, 0x61, 0x3b, 0xd0, 0x94, 0x12, 0xaa, 0xc8, 0xbe, 0x79, 0x5f, 0x9a, 0xc9, 0x02, 0x1c, 0x42, 0xb0, 0x2a, 0xc9, 0xec, 0xf4, 0xce, 0x79, 0x0b, 0xed, 0xb6, 0x62, 0x6a, 0x3b, 0x1c, 0xa2, 0x27, 0xfb, 0xf9, 0x95, 0xdd, 0xa0, 0x8b, 0x10, 0x28, 0xcd, 0xf4, 0xa2, 0x5e, 0xad, 0xcc, 0x02, 0x77, 0x90, 0xc6, 0xc9, 0xa0, 0x1d, 0x96, 0x9c, 0x24, 0x7a, 0xc3]),
bytes([0x9d, 0xe6, 0xa5, 0x66, 0xde, 0x94, 0x3e, 0xeb, 0x3c, 0x6e, 0xcb, 0xfe, 0xd3, 0xc5, 0x7e, 0x66, 0xa7, 0x5c, 0x2f, 0xa9, 0x52, 0x98, 0xfb, 0xc4, 0x7b, 0x2e, 0x32, 0xf2, 0x6e, 0xc6, 0x1d, 0x04, 0x9d, 0x49, 0x71, 0x30, 0x21, 0xb0, 0x73, 0xa0, 0x3d, 0x83, 0x0c, 0xb9, 0x01, 0xd9, 0xf8, 0x9b, 0x0c, 0x41, 0x6f, 0xa6, 0xe0, 0xdd, 0x0f, 0x22, 0x3f, 0xf8, 0xb0, 0xe6, 0x05, 0x60, 0xb7, 0x89, 0xb5, 0xa5, 0x3f, 0xbe, 0x13, 0xbb, 0xed, 0x32, 0x43, 0x60, 0xb3, 0x66, 0x05, 0x9c, 0xfa, 0xde, 0xab, 0x3c, 0x7a, 0xe6, 0x07, 0xf9, 0x4d, 0xcd, 0x1b, 0xd4, 0x6e, 0x68, 0x83, 0x86, 0xe8, 0x95, 0x3f, 0x29, 0xa4, 0x15, 0xfa, 0x22, 0x0a, 0x79, 0x6a, 0xa4, 0xcd, 0x66, 0xb6, 0x1d, 0x82, 0x1e, 0x1e, 0x4a, 0x50, 0xd6, 0xf6, 0xad, 0xec, 0xca, 0xaf, 0xa4, 0xd7, 0xcc, 0xaa, 0xb7, 0x7e, 0x30])]
output_tags = [bytes([0x9c, 0x6b, 0x2a, 0x7f, 0x33, 0x4d, 0x41, 0x54, 0xf6, 0x7d, 0x6a, 0xc5, 0x85, 0x5c, 0xf5, 0x9e, 0x47, 0x47, 0xde, 0x9c, 0xb8, 0xca, 0xab, 0xb3, 0x53, 0xf7, 0x55, 0xa0, 0xb8, 0x16, 0x25, 0x1c]),
bytes([0x4b, 0x6e, 0x53, 0xf3, 0xe5, 0xb2, 0xae, 0xcd, 0x1e, 0x89, 0xe3, 0x6f, 0xb2, 0x12, 0x9a, 0x6d, 0x37, 0x7e, 0x60, 0x97, 0x84, 0x2b, 0x3c, 0x0a, 0xfa, 0xce, 0xc3, 0x32, 0xf1, 0xfe, 0x91, 0x31]),
bytes([0x1d, 0x13, 0x8b, 0x3f, 0x38, 0xaf, 0x21, 0x21, 0x76, 0xf2, 0x81, 0x54, 0x3c, 0xfa, 0x47, 0xd7, 0xf7, 0xca, 0x34, 0x87, 0xb3, 0x34, 0x9a, 0xe5, 0xca, 0xb9, 0x69, 0x75, 0x95, 0xc4, 0x93, 0x7a])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_128_meta_256(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 128 Bytes
Metadata Size - 256 Bytes
"""
# keyLen 128, dataLen 1024, ADLen 2048 (in bits)
my_key = bytes([0x21, 0x20, 0x1f, 0x1e, 0x1d, 0x1c, 0x1b, 0x1a, 0x19, 0x18, 0x17, 0x16, 0x15, 0x14, 0x13, 0x12])
my_message = bytes([0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1f, 0x18, 0x11, 0x0a, 0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17])
my_metadata = bytes([0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1f, 0x18, 0x11, 0x0a, 0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb4, 0xad, 0xa6, 0x9f, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19])
output_ciphertexts = [bytes([0x20, 0xe0, 0xa0, 0xff, 0x76, 0x55, 0xbb, 0x0a, 0x31, 0x8f, 0xfe, 0x06, 0x41, 0x7d, 0xc1, 0x4f, 0xcc, 0xac, 0x80, 0x9f, 0x96, 0x9c, 0x87, 0x19, 0xb1, 0x1b, 0x2f, 0xb3, 0x32, 0xb9, 0x60, 0x41, 0xaa, 0x79, 0x39, 0x90, 0xf2, 0x0d, 0x46, 0x5d, 0x31, 0x2d, 0xbf, 0xe7, 0x25, 0x07, 0xe7, 0x49, 0xea, 0xfb, 0x00, 0xa1, 0x49, 0x38, 0x5a, 0x61, 0x81, 0xd1, 0x84, 0xc0, 0x9a, 0xd8, 0x49, 0xcb, 0xf2, 0x5d, 0x9a, 0x57, 0xf0, 0x06, 0xc2, 0x83, 0xf0, 0xd8, 0xd9, 0xbe, 0x5d, 0xa0, 0x32, 0x68, 0x8b, 0x1c, 0xd0, 0x32, 0x23, 0xd9, 0xfb, 0x86, 0xa2, 0xa1, 0xfd, 0x30, 0x50, 0x16, 0xf9, 0x0f, 0x02, 0x4f, 0xe0, 0x33, 0x68, 0x1c, 0xe1, 0x25, 0x83, 0xec, 0x66, 0x4d, 0xa0, 0x38, 0x3e, 0xfb, 0xab, 0x8b, 0x08, 0xe5, 0x84, 0x73, 0xbc, 0xd7, 0x79, 0xca, 0xa1, 0x22, 0x1b, 0x23, 0xe0, 0x08]),
bytes([0x70, 0x8c, 0xc6, 0xb9, 0xfd, 0x36, 0xb3, 0xc3, 0x8e, 0x83, 0x43, 0x33, 0x5d, 0xd6, 0xd7, 0x6f, 0xfa, 0xdc, 0x38, 0x2b, 0x8f, 0x27, 0x96, 0x3a, 0xdc, 0xb6, 0xaa, 0xb5, 0x17, 0x20, 0xa6, 0xc0, 0xd2, 0xb5, 0x60, 0xb3, 0x81, 0x10, 0xd4, 0x6b, 0x39, 0x2e, 0xc4, 0xe5, 0x77, 0x86, 0x2b, 0x1f, 0x9f, 0x10, 0xf6, 0xdd, 0x01, 0xce, 0x42, 0xab, 0x5a, 0x35, 0xd8, 0x75, 0x95, 0x33, 0x46, 0x0c, 0x93, 0xaa, 0x15, 0x49, 0x43, 0xd0, 0x80, 0x02, 0x42, 0x1b, 0xc3, 0xe6, 0xac, 0x98, 0x61, 0xf5, 0x9a, 0xe4, 0x17, 0xc3, 0xba, 0xc7, 0x9c, 0xe0, 0x18, 0x3c, 0xa1, 0x87, 0x57, 0xba, 0xcd, 0xa4, 0x73, 0x93, 0x67, 0x71, 0x8f, 0x07, 0x68, 0x57, 0x49, 0x71, 0x8a, 0xdb, 0x00, 0x8b, 0x1e, 0x80, 0xb7, 0x62, 0xd0, 0x2b, 0x3b, 0x41, 0x8c, 0x32, 0x87, 0x43, 0x06, 0x85, 0xde, 0x28, 0x79, 0xfa]),
bytes([0xd6, 0x19, 0xf7, 0x71, 0x67, 0xae, 0x08, 0x8c, 0x0b, 0x76, 0x66, 0xd8, 0x6b, 0x3c, 0x2f, 0x0b, 0x87, 0x9a, 0xca, 0xd3, 0xf3, 0x5d, 0x6e, 0xe3, 0xef, 0xbf, 0xa0, 0xaa, 0xd2, 0x24, 0x20, 0xc4, 0x41, 0x08, 0x37, 0xd4, 0xe9, 0xbf, 0x00, 0xd0, 0xce, 0x66, 0x23, 0x46, 0x69, 0x5e, 0xe8, 0xc9, 0x98, 0xab, 0xf4, 0x75, 0x13, 0x81, 0x5f, 0x73, 0x28, 0x09, 0x93, 0x18, 0xa1, 0xd6, 0xfd, 0x18, 0xd2, 0x8f, 0xa3, 0xb1, 0xea, 0x7a, 0xe8, 0x8c, 0xb6, 0x1c, 0xdb, 0xab, 0xc8, 0x05, 0x35, 0x5e, 0x80, 0x41, 0x4f, 0xd6, 0x7b, 0x71, 0x07, 0x55, 0xf8, 0x30, 0xfe, 0x79, 0x0d, 0xe6, 0x87, 0x30, 0xc4, 0xfb, 0x22, 0x37, 0xa1, 0x22, 0x13, 0xc8, 0x47, 0x60, 0x12, 0xe6, 0x2b, 0xf3, 0x84, 0x64, 0xa4, 0xf3, 0x05, 0xf6, 0x9e, 0xb1, 0xb8, 0xb4, 0xda, 0xbc, 0xd8, 0x18, 0x14, 0xef, 0x57, 0x7a])]
output_tags = [bytes([0xda, 0x88, 0xe6, 0x7f, 0x77, 0x87, 0x8e, 0x1d, 0xac, 0x4c, 0x8a, 0x39, 0x61, 0x87, 0x9a, 0xf3, 0xba, 0xb4, 0x72, 0x2b, 0x72, 0xea, 0xea, 0xce, 0xe3, 0x06, 0x99, 0x9b, 0x7b, 0xad, 0x31, 0x2c]),
bytes([0xe7, 0xd0, 0x27, 0x7e, 0x7c, 0x52, 0x1f, 0xb6, 0x85, 0xe3, 0x2a, 0x69, 0xd0, 0xe5, 0x4b, 0x83, 0x91, 0x2f, 0xaa, 0x19, 0xeb, 0x0b, 0x0f, 0x02, 0x07, 0x5d, 0xa3, 0xcd, 0x54, 0x04, 0x1f, 0xcc]),
bytes([0xff, 0x2b, 0x34, 0xd2, 0x59, 0x8d, 0x89, 0x57, 0xb6, 0x50, 0x58, 0x29, 0x3e, 0x60, 0x38, 0x2b, 0x0a, 0x2b, 0x83, 0xb2, 0x63, 0x06, 0xf3, 0x03, 0x17, 0x37, 0xae, 0x25, 0xba, 0x9c, 0x2b, 0xa2])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_128_meta_384(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 128 Bytes
Metadata Size - 384 Bytes
"""
# keyLen 128, dataLen 1024, ADLen 3072 (in bits)
my_key = bytes([0xa1, 0xa0, 0x9f, 0x9e, 0x9d, 0x9c, 0x9b, 0x9a, 0x99, 0x98, 0x97, 0x96, 0x95, 0x94, 0x93, 0x92])
my_message = bytes([0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd7, 0xd0, 0xc9, 0xc2, 0xbb, 0xb4, 0xad, 0xa6, 0x9f, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97])
my_metadata = bytes([0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1f, 0x18, 0x11, 0x0a, 0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb4, 0xad, 0xa6, 0x9f, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1f, 0x18, 0x11, 0x0a, 0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d])
output_ciphertexts = [bytes([0x6e, 0x53, 0x9f, 0xf1, 0xe6, 0xad, 0x64, 0x11, 0x5d, 0xee, 0x01, 0x7f, 0xbb, 0xa2, 0xc8, 0x1a, 0xb2, 0x80, 0x90, 0x98, 0xde, 0x9b, 0xbf, 0xe0, 0x00, 0x2a, 0x13, 0x22, 0x07, 0xbb, 0x30, 0x0a, 0x6b, 0xad, 0x9a, 0x70, 0xb8, 0x16, 0xa7, 0x2f, 0x21, 0xbf, 0xfe, 0xa3, 0xed, 0xff, 0xfd, 0x93, 0xdc, 0xba, 0xf0, 0x3e, 0xbf, 0xdb, 0x0c, 0x2a, 0x61, 0x24, 0x3b, 0x5a, 0xbb, 0xe0, 0xae, 0x8c, 0x0a, 0x65, 0x67, 0x00, 0xe8, 0x4a, 0xe7, 0x2a, 0x7f, 0xcd, 0x06, 0x75, 0x1a, 0x38, 0x52, 0x1c, 0x8a, 0xce, 0xc5, 0xf1, 0x4f, 0xd9, 0xf5, 0x9c, 0x8b, 0xae, 0x6e, 0x95, 0x64, 0x81, 0xcf, 0x38, 0x98, 0x56, 0x43, 0xf8, 0x09, 0x41, 0x51, 0xef, 0xf7, 0xc7, 0xef, 0x48, 0x21, 0x24, 0xe6, 0x54, 0xf9, 0xc9, 0x31, 0x6b, 0x3e, 0xe1, 0x21, 0xb6, 0x75, 0x1a, 0x9a, 0xd8, 0x82, 0xf3, 0x57, 0xda]),
bytes([0xb0, 0xa2, 0x3a, 0x5a, 0x02, 0xea, 0x87, 0x2f, 0x9c, 0x23, 0xaf, 0xda, 0x59, 0x94, 0xd9, 0x64, 0x2e, 0xc9, 0x99, 0x98, 0xbb, 0x89, 0x9a, 0x44, 0x49, 0x11, 0xfd, 0x79, 0xf4, 0x3b, 0x1f, 0x48, 0x76, 0x32, 0x1b, 0x01, 0xa2, 0xe9, 0x1d, 0x47, 0x62, 0xdc, 0x79, 0xe8, 0x1f, 0x29, 0xdc, 0x1f, 0xe9, 0x63, 0xa8, 0x04, 0x82, 0x2d, 0xbc, 0xf3, 0x21, 0x75, 0xa4, 0x03, 0x15, 0x9d, 0x31, 0xd1, 0x0a, 0xf4, 0xe7, 0xdf, 0x49, 0xc2, 0x6c, 0x48, 0x78, 0xb9, 0x58, 0x1f, 0xac, 0x6b, 0x97, 0x40, 0x35, 0xfa, 0x37, 0xc2, 0x5d, 0x57, 0xd2, 0x8c, 0xb9, 0x73, 0x3d, 0x97, 0x87, 0x1a, 0x04, 0x67, 0xfa, 0x24, 0xc6, 0x95, 0x85, 0x05, 0x6a, 0x9f, 0xff, 0x7f, 0x03, 0xfe, 0x39, 0xfa, 0x0a, 0xdd, 0x53, 0xc6, 0xaa, 0x39, 0xad, 0x54, 0xd2, 0x4f, 0xcc, 0x9a, 0x6b, 0x93, 0x95, 0xb7, 0x85, 0x43]),
bytes([0x96, 0x14, 0xa5, 0x35, 0x18, 0x32, 0x4a, 0xd4, 0x9d, 0xc3, 0x93, 0x86, 0x3b, 0x97, 0x37, 0xf0, 0x0a, 0xe5, 0xfc, 0xdc, 0xb1, 0x1e, 0xe6, 0x6a, 0x5b, 0xae, 0xf0, 0x4e, 0xd0, 0xb8, 0xc1, 0x6f, 0xa0, 0xb9, 0xa8, 0x54, 0xd3, 0x28, 0x6e, 0x4d, 0x6a, 0x7d, 0x0e, 0x4e, 0x8b, 0x8f, 0xd1, 0xb6, 0xfe, 0xba, 0x8f, 0x38, 0x8e, 0xad, 0xbe, 0x10, 0x71, 0x93, 0xa4, 0x40, 0xf2, 0x22, 0x4b, 0x05, 0x28, 0xdc, 0x50, 0x84, 0xab, 0x14, 0xa7, 0x72, 0xd0, 0x49, 0x63, 0xac, 0x89, 0xad, 0x6b, 0x62, 0xf2, 0x18, 0x51, 0xd7, 0x69, 0x93, 0x6f, 0x4d, 0x41, 0xc8, 0x71, 0xb9, 0xc4, 0x47, 0x0c, 0xc2, 0x78, 0xa4, 0x19, 0x46, 0x98, 0x92, 0xe2, 0xc0, 0x64, 0xe3, 0x52, 0x6e, 0x93, 0xe6, 0x1d, 0xfc, 0xa6, 0xc8, 0x94, 0x43, 0x8f, 0x6c, 0x56, 0xa6, 0x68, 0xb9, 0x36, 0x5f, 0xfe, 0xff, 0xdc, 0x15])]
output_tags = [bytes([0x1f, 0x15, 0x4c, 0xf8, 0x0c, 0xac, 0x79, 0xe0, 0x03, 0x08, 0x10, 0x01, 0x22, 0x8e, 0xe0, 0xbb, 0x97, 0x42, 0xf3, 0x05, 0x5f, 0xfd, 0x90, 0x3a, 0x4c, 0x85, 0x9a, 0x06, 0xda, 0xa0, 0xbb, 0xa3]),
bytes([0xb4, 0x63, 0x9a, 0xb8, 0xb7, 0xb6, 0x1f, 0x5a, 0x1d, 0x28, 0xf2, 0x56, 0x4d, 0x34, 0x1c, 0x85, 0x34, 0x70, 0x33, 0x18, 0x06, 0xc9, 0x47, 0x0d, 0x0f, 0x96, 0x1e, 0xe0, 0xd1, 0x19, 0x32, 0x56]),
bytes([0xe0, 0x32, 0x26, 0x7e, 0x83, 0xdf, 0x0d, 0x9d, 0x1d, 0x57, 0xe2, 0x27, 0xbd, 0xf7, 0xb0, 0xc5, 0xed, 0x74, 0xef, 0x15, 0xe4, 0xf4, 0xf5, 0x03, 0x5a, 0xde, 0x22, 0xd1, 0x41, 0x3a, 0x19, 0xd1])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_32_meta_256(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 32 Bytes
Metadata Size - 256 Bytes
"""
# keyLen 128, dataLen 256, ADLen 2048 (in bits)
my_key = bytes([0x81, 0x80, 0x7f, 0x7e, 0x7d, 0x7c, 0x7b, 0x7a, 0x79, 0x78, 0x77, 0x76, 0x75, 0x74, 0x73, 0x72])
my_message = bytes([0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba])
my_metadata = bytes([0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79])
output_ciphertexts = [bytes([0x33, 0x80, 0x4d, 0x68, 0x64, 0x85, 0xe0, 0x96, 0x13, 0xcd, 0xd8, 0x65, 0x60, 0xf3, 0x30, 0x43, 0xb7, 0x3c, 0xe7, 0x44, 0xbf, 0xc7, 0xf7, 0x1f, 0xad, 0x5d, 0x50, 0xa7, 0x27, 0xfb, 0x37, 0xdb]),
bytes([0xed, 0xe2, 0x36, 0x95, 0x0a, 0x5e, 0x0b, 0x1c, 0x19, 0x05, 0xd2, 0x9a, 0x43, 0x05, 0x44, 0xca, 0x48, 0xc1, 0xb5, 0x5a, 0xf1, 0xdb, 0x45, 0x98, 0xf9, 0x86, 0x98, 0x52, 0xb3, 0x00, 0xad, 0x86]),
bytes([0xf4, 0x54, 0x7c, 0x68, 0x2e, 0x64, 0x29, 0xdb, 0x41, 0xc6, 0x7a, 0x7f, 0x56, 0xca, 0x7f, 0x3a, 0x0e, 0x3d, 0x0a, 0x28, 0xe4, 0x45, 0xdf, 0x39, 0x66, 0x62, 0xcb, 0x43, 0x2b, 0xd3, 0xf2, 0xda])]
output_tags = [bytes([0x11, 0xde, 0x78, 0x68, 0x82, 0x49, 0x35, 0xfd, 0x26, 0xbb, 0x42, 0xb9, 0x6a, 0x7f, 0x57, 0x79, 0x09, 0x55, 0xff, 0x90, 0x6c, 0xb2, 0x0f, 0x01, 0xa9, 0x95, 0xb6, 0xd5, 0x7d, 0xb3, 0x6b, 0x33]),
bytes([0x43, 0xa9, 0x14, 0xb2, 0xb6, 0x43, 0x73, 0x4b, 0x73, 0x3a, 0x5a, 0xf9, 0x78, 0xf9, 0xc1, 0x4c, 0xe0, 0xf1, 0x8c, 0x17, 0x7d, 0xe9, 0xcd, 0xdf, 0x1a, 0x71, 0x1d, 0xe9, 0x26, 0xb9, 0x27, 0xcd]),
bytes([0xd6, 0x3c, 0xa6, 0xa8, 0xd5, 0xc5, 0xc4, 0x20, 0x40, 0x45, 0xd5, 0x7a, 0x4d, 0x61, 0x13, 0x93, 0x87, 0xb9, 0xa2, 0x72, 0x22, 0x14, 0x71, 0x2c, 0x6f, 0xa9, 0xc1, 0xce, 0x96, 0x0c, 0xd8, 0xa1])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_32_meta_199(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 32 Bytes
Metadata Size - 199 Bytes
"""
# keyLen 128, dataLen 256, ADLen 1592 (in bits)
my_key = bytes([0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2, 0xe2])
my_message = bytes([0xf4, 0xf1, 0xee, 0xeb, 0xe8, 0xe5, 0xe2, 0xdf, 0xdc, 0xd9, 0xd6, 0xd3, 0xd0, 0xcd, 0xca, 0xc7, 0xc4, 0xc1, 0xbe, 0xbb, 0xb8, 0xb5, 0xb2, 0xaf, 0xac, 0xa9, 0xa6, 0xa3, 0xa0, 0x9d, 0x9a, 0x97])
my_metadata = bytes([0x01, 0xfe, 0xfb, 0xf8, 0xf5, 0xf2, 0xef, 0xec, 0xe9, 0xe6, 0xe3, 0xe0, 0xdd, 0xda, 0xd7, 0xd4, 0xd1, 0xce, 0xcb, 0xc8, 0xc5, 0xc2, 0xbf, 0xbc, 0xb9, 0xb6, 0xb3, 0xb0, 0xad, 0xaa, 0xa7, 0xa4, 0xa1, 0x9e, 0x9b, 0x98, 0x95, 0x92, 0x8f, 0x8c, 0x89, 0x86, 0x83, 0x80, 0x7d, 0x7a, 0x77, 0x74, 0x71, 0x6e, 0x6b, 0x68, 0x65, 0x62, 0x5f, 0x5c, 0x59, 0x56, 0x53, 0x50, 0x4d, 0x4a, 0x47, 0x44, 0x40, 0x3d, 0x3a, 0x37, 0x34, 0x31, 0x2e, 0x2b, 0x28, 0x25, 0x22, 0x1f, 0x1c, 0x19, 0x16, 0x13, 0x10, 0x0d, 0x0a, 0x07, 0x04, 0x01, 0xfe, 0xfb, 0xf8, 0xf5, 0xf2, 0xef, 0xec, 0xe9, 0xe6, 0xe3, 0xe0, 0xdd, 0xda, 0xd7, 0xd4, 0xd1, 0xce, 0xcb, 0xc8, 0xc5, 0xc2, 0xbf, 0xbc, 0xb9, 0xb6, 0xb3, 0xb0, 0xad, 0xaa, 0xa7, 0xa4, 0xa1, 0x9e, 0x9b, 0x98, 0x95, 0x92, 0x8f, 0x8c, 0x89, 0x86, 0x83, 0x7f, 0x7c, 0x79, 0x76, 0x73, 0x70, 0x6d, 0x6a, 0x67, 0x64, 0x61, 0x5e, 0x5b, 0x58, 0x55, 0x52, 0x4f, 0x4c, 0x49, 0x46, 0x43, 0x40, 0x3d, 0x3a, 0x37, 0x34, 0x31, 0x2e, 0x2b, 0x28, 0x25, 0x22, 0x1f, 0x1c, 0x19, 0x16, 0x13, 0x10, 0x0d, 0x0a, 0x07, 0x04, 0x01, 0xfe, 0xfb, 0xf8, 0xf5, 0xf2, 0xef, 0xec, 0xe9, 0xe6, 0xe3, 0xe0, 0xdd, 0xda, 0xd7, 0xd4, 0xd1, 0xce, 0xcb, 0xc8, 0xc5, 0xc2, 0xbe, 0xbb, 0xb8, 0xb5, 0xb2, 0xaf, 0xac])
output_ciphertexts = [bytes([0xad, 0x12, 0x8a, 0xa5, 0x03, 0x46, 0xba, 0x33, 0x84, 0x80, 0xc3, 0x23, 0xf6, 0xb2, 0x58, 0xc9, 0x2b, 0x1d, 0xf6, 0x5b, 0x58, 0xd5, 0xab, 0xdb, 0x8a, 0xa6, 0x31, 0x11, 0x0f, 0x6a, 0x7f, 0xd5]),
bytes([0x7d, 0x36, 0xfd, 0xd4, 0x62, 0x0d, 0x82, 0xa1, 0xfc, 0xb9, 0x2c, 0xa1, 0xbd, 0x54, 0xca, 0x4d, 0x12, 0xe4, 0x5f, 0xbc, 0x78, 0xb3, 0x6d, 0x56, 0xff, 0xdd, 0xa9, 0x3c, 0xc0, 0x99, 0xf6, 0xb5]),
bytes([0x84, 0xf7, 0x96, 0x96, 0x16, 0xfb, 0x0e, 0x72, 0xbf, 0x43, 0x5f, 0xc2, 0xf3, 0xc7, 0x29, 0xdc, 0x70, 0x3c, 0x0a, 0x76, 0x3a, 0x4d, 0xce, 0xda, 0x9d, 0x7e, 0xc1, 0x37, 0xfa, 0x98, 0x70, 0x88])]
output_tags = [bytes([0xe3, 0xc2, 0x0d, 0xa7, 0x51, 0xb0, 0x82, 0xd9, 0xb1, 0x38, 0xe7, 0x14, 0x02, 0x15, 0x06, 0x63, 0xe0, 0xb2, 0xf5, 0xca, 0x84, 0x4f, 0x88, 0x98, 0xf5, 0x7e, 0xab, 0x09, 0x89, 0x12, 0xcd, 0x66]),
bytes([0xf2, 0xd7, 0x01, 0xf5, 0x4d, 0x46, 0xdd, 0x7d, 0x90, 0x8e, 0x8a, 0x4a, 0x52, 0x86, 0xe8, 0x2a, 0xfb, 0xaf, 0x9f, 0x38, 0x9b, 0xc0, 0xda, 0xde, 0xae, 0x1c, 0x1f, 0x5a, 0xc5, 0x0f, 0x42, 0xd5]),
bytes([0x0b, 0x80, 0x0f, 0xd7, 0x2a, 0x8e, 0xbb, 0x93, 0x9b, 0x7f, 0xb3, 0xd7, 0xcd, 0x6d, 0xd8, 0xe5, 0xee, 0x53, 0x77, 0x1a, 0x64, 0x7d, 0x0a, 0x08, 0x8b, 0xac, 0x42, 0xce, 0xaa, 0x93, 0x03, 0x87])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_32_meta_200(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 32 Bytes
Metadata Size - 200 Bytes
"""
# keyLen 128, dataLen 256, ADLen 1600 (in bits)
my_key = bytes([0xf9, 0xf8, 0xf7, 0xf6, 0xf5, 0xf4, 0xf3, 0xf2, 0xf1, 0xf0, 0xef, 0xee, 0xed, 0xec, 0xeb, 0xea])
my_message = bytes([0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32])
my_metadata = bytes([0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x34, 0x2d, 0x26, 0x1f, 0x18, 0x11, 0x0a, 0x03, 0xfc, 0xf5, 0xee, 0xe7, 0xe0, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x53, 0x4c, 0x45, 0x3e, 0x37, 0x30, 0x29, 0x22, 0x1b, 0x14, 0x0d, 0x06, 0xff, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd7, 0xd0, 0xc9, 0xc2, 0xbb, 0xb4, 0xad, 0xa6, 0x9f, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf6, 0xef, 0xe8, 0xe1, 0xda, 0xd3, 0xcc, 0xc5, 0xbe, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42])
output_ciphertexts = [bytes([0xf0, 0x0a, 0x6c, 0xdc, 0xde, 0x83, 0x55, 0xeb, 0x77, 0xab, 0xb4, 0xfd, 0x4b, 0xd8, 0x33, 0xa9, 0x83, 0x2a, 0x2d, 0x9a, 0x70, 0x93, 0x61, 0x4d, 0xa1, 0xd3, 0x79, 0x7c, 0x70, 0x76, 0x17, 0xfe]),
bytes([0x15, 0xf0, 0x3d, 0x26, 0xef, 0x05, 0x50, 0x43, 0x17, 0x3c, 0xba, 0xcc, 0x87, 0xc3, 0x81, 0xcb, 0x87, 0x50, 0xd5, 0x85, 0x14, 0x05, 0x8f, 0xfb, 0x3a, 0x48, 0x67, 0x83, 0xbe, 0xe5, 0xdd, 0xe8]),
bytes([0x24, 0x14, 0x3e, 0x29, 0xda, 0xbe, 0x8c, 0xef, 0xcb, 0xe2, 0x42, 0x17, 0xa5, 0xc8, 0x97, 0x73, 0x5c, 0x22, 0x70, 0x88, 0xf6, 0xea, 0xcd, 0xb5, 0x03, 0xe0, 0xcd, 0xf9, 0x75, 0x26, 0xd5, 0x57])]
output_tags = [bytes([0xdc, 0x66, 0x5c, 0xeb, 0xfe, 0x08, 0x82, 0x04, 0xb4, 0x58, 0xd2, 0xa0, 0xd7, 0xfb, 0x5d, 0x24, 0x47, 0x84, 0xd6, 0x0e, 0x17, 0x0e, 0x9d, 0xe4, 0x4a, 0xfb, 0xa8, 0x3d, 0x39, 0x1e, 0xd9, 0x16]),
bytes([0xcf, 0x90, 0x94, 0x7f, 0xdf, 0x66, 0x7a, 0x8c, 0xc0, 0x9e, 0x0e, 0xfd, 0xc3, 0x05, 0xf3, 0xd5, 0x41, 0xf0, 0x29, 0x0b, 0x4e, 0xf1, 0x4d, 0x1f, 0x4e, 0x22, 0x82, 0x83, 0x01, 0xa2, 0xe4, 0x7a]),
bytes([0xe3, 0xd3, 0xf6, 0xd5, 0x29, 0x27, 0x4d, 0x3a, 0x99, 0x15, 0x80, 0xe4, 0x8e, 0x63, 0x9b, 0xd6, 0xdd, 0xf4, 0xa3, 0x00, 0x9a, 0x90, 0xac, 0x72, 0xe7, 0xb0, 0x67, 0x26, 0xd4, 0x8e, 0x94, 0x0b])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_32_meta_512(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 32 Bytes
Metadata Size - 1024 Bytes
"""
# keyLen 128, dataLen 256, ADLen 4096 (in bits)
my_key = bytes([0x81, 0x80, 0x7f, 0x7e, 0x7d, 0x7c, 0x7b, 0x7a, 0x79, 0x78, 0x77, 0x76, 0x75, 0x74, 0x73, 0x72])
my_message = bytes([0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba])
my_metadata = bytes([0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79])
output_ciphertexts = [bytes([0x8e, 0x19, 0x16, 0x1c, 0x8b, 0x9e, 0x9a, 0x73, 0xb8, 0xfb, 0xc4, 0x82, 0x71, 0xf8, 0xf9, 0x96, 0x82, 0x0d, 0x60, 0xbf, 0xe3, 0xd3, 0x15, 0xc7, 0x9e, 0xee, 0x21, 0xee, 0x21, 0x49, 0x18, 0xf1]),
bytes([0xfa, 0xc0, 0x99, 0x28, 0xc3, 0xb6, 0x80, 0x1c, 0x2d, 0x38, 0x2e, 0x1e, 0xf7, 0xc1, 0x8b, 0xe4, 0x47, 0xf2, 0x70, 0xb5, 0x3f, 0x1d, 0xba, 0xc9, 0xf6, 0x37, 0xe3, 0x4d, 0xb9, 0xb6, 0xe9, 0xe8]),
bytes([0xd1, 0xa0, 0x7d, 0x6a, 0x23, 0x11, 0x37, 0x10, 0x6d, 0x57, 0x1e, 0x59, 0x98, 0x90, 0x11, 0x33, 0xec, 0xc5, 0x64, 0xbc, 0xb0, 0xb7, 0x45, 0xa7, 0x68, 0xd0, 0x48, 0xfa, 0xda, 0xf5, 0x8b, 0xdf])]
output_tags = [bytes([0xd8, 0x83, 0xa7, 0x5e, 0x05, 0x2b, 0x88, 0x5d, 0xc6, 0x97, 0x93, 0xda, 0xfd, 0x77, 0x2e, 0xf4, 0xe0, 0x43, 0xcd, 0x55, 0x3d, 0x74, 0x72, 0x77, 0x26, 0xdf, 0x11, 0xca, 0x73, 0x60, 0xb9, 0x00]),
bytes([0xca, 0xaa, 0x69, 0xa2, 0x71, 0x03, 0x1f, 0x8a, 0xd1, 0x7a, 0xf6, 0xf4, 0x09, 0xfe, 0x38, 0x77, 0x20, 0x2d, 0x8f, 0x3b, 0x7f, 0xef, 0x4e, 0x99, 0x36, 0x4d, 0xdc, 0x3e, 0xf4, 0xd5, 0xd7, 0x1b]),
bytes([0x86, 0xf5, 0xaa, 0x71, 0xf7, 0x2e, 0xb6, 0x95, 0x41, 0x25, 0xb4, 0x67, 0xde, 0xae, 0xf6, 0x98, 0x90, 0x9b, 0xdc, 0xd4, 0x45, 0x3d, 0x59, 0x09, 0xed, 0x6d, 0x83, 0x6b, 0x43, 0x97, 0x95, 0x16])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
def test_kravatte_SANSE_k_16_msg_32_meta_1024(self, test_workers):
"""
Kravatte SANSE Test Encryption/Decryption Tests:
Key Size - 16 Bytes
Message Size - 32 Bytes
Metadata Size - 1024 Bytes
"""
# keyLen 128, dataLen 256, ADLen 8192 (in bits)
my_key = bytes([0x81, 0x80, 0x7f, 0x7e, 0x7d, 0x7c, 0x7b, 0x7a, 0x79, 0x78, 0x77, 0x76, 0x75, 0x74, 0x73, 0x72])
my_message = bytes([0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x15, 0x0e, 0x07, 0x00, 0xf9, 0xf2, 0xeb, 0xe4, 0xdd, 0xd6, 0xcf, 0xc8, 0xc1, 0xba])
my_metadata = bytes([0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79, 0x79, 0x72, 0x6b, 0x64, 0x5d, 0x56, 0x4f, 0x48, 0x41, 0x3a, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x98, 0x91, 0x8a, 0x83, 0x7c, 0x75, 0x6e, 0x67, 0x60, 0x59, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb7, 0xb0, 0xa9, 0xa2, 0x9b, 0x94, 0x8d, 0x86, 0x7f, 0x78, 0x71, 0x6a, 0x63, 0x5c, 0x55, 0x4e, 0x47, 0x40, 0x39, 0x32, 0x2b, 0x24, 0x1d, 0x16, 0x0f, 0x08, 0x01, 0xfa, 0xf3, 0xec, 0xe5, 0xde, 0xd6, 0xcf, 0xc8, 0xc1, 0xba, 0xb3, 0xac, 0xa5, 0x9e, 0x97, 0x90, 0x89, 0x82, 0x7b, 0x74, 0x6d, 0x66, 0x5f, 0x58, 0x51, 0x4a, 0x43, 0x3c, 0x35, 0x2e, 0x27, 0x20, 0x19, 0x12, 0x0b, 0x04, 0xfd, 0xf5, 0xee, 0xe7, 0xe0, 0xd9, 0xd2, 0xcb, 0xc4, 0xbd, 0xb6, 0xaf, 0xa8, 0xa1, 0x9a, 0x93, 0x8c, 0x85, 0x7e, 0x77, 0x70, 0x69, 0x62, 0x5b, 0x54, 0x4d, 0x46, 0x3f, 0x38, 0x31, 0x2a, 0x23, 0x1c, 0x14, 0x0d, 0x06, 0xff, 0xf8, 0xf1, 0xea, 0xe3, 0xdc, 0xd5, 0xce, 0xc7, 0xc0, 0xb9, 0xb2, 0xab, 0xa4, 0x9d, 0x96, 0x8f, 0x88, 0x81, 0x7a, 0x73, 0x6c, 0x65, 0x5e, 0x57, 0x50, 0x49, 0x42, 0x3b, 0x33, 0x2c, 0x25, 0x1e, 0x17, 0x10, 0x09, 0x02, 0xfb, 0xf4, 0xed, 0xe6, 0xdf, 0xd8, 0xd1, 0xca, 0xc3, 0xbc, 0xb5, 0xae, 0xa7, 0xa0, 0x99, 0x92, 0x8b, 0x84, 0x7d, 0x76, 0x6f, 0x68, 0x61, 0x5a, 0x52, 0x4b, 0x44, 0x3d, 0x36, 0x2f, 0x28, 0x21, 0x1a, 0x13, 0x0c, 0x05, 0xfe, 0xf7, 0xf0, 0xe9, 0xe2, 0xdb, 0xd4, 0xcd, 0xc6, 0xbf, 0xb8, 0xb1, 0xaa, 0xa3, 0x9c, 0x95, 0x8e, 0x87, 0x80, 0x79])
output_ciphertexts = [bytes([0xab, 0x18, 0xc5, 0x47, 0x93, 0x35, 0x0c, 0xa4, 0x7a, 0x30, 0xe0, 0x84, 0x7f, 0x8c, 0x39, 0x40, 0xa0, 0x05, 0x25, 0xd7, 0x80, 0xf9, 0x0d, 0x0b, 0x8f, 0xf3, 0xcd, 0x4f, 0x36, 0xf6, 0xfa, 0x11]),
bytes([0x68, 0xe8, 0x3f, 0x8e, 0x16, 0x0a, 0x03, 0xa6, 0x1e, 0x1e, 0x4d, 0x0a, 0x08, 0x23, 0xc7, 0xa7, 0x11, 0xdd, 0x6b, 0xa4, 0x11, 0x12, 0x19, 0xca, 0x76, 0x12, 0xdc, 0x9b, 0xf5, 0x6c, 0x14, 0x51]),
bytes([0x29, 0xbf, 0xa6, 0x8a, 0x79, 0xa6, 0xf1, 0xe5, 0x57, 0x4d, 0xa8, 0x60, 0xe9, 0x73, 0x05, 0x50, 0x77, 0x2d, 0x46, 0xe0, 0x61, 0x9c, 0xca, 0x40, 0xbb, 0xdc, 0xae, 0xe7, 0x66, 0xc3, 0x6a, 0x7a])]
output_tags = [bytes([0x58, 0x06, 0x85, 0x88, 0x56, 0x3d, 0xf9, 0x51, 0x1d, 0x13, 0x6e, 0x7e, 0xfc, 0xa0, 0xca, 0x6a, 0x46, 0x3e, 0x0b, 0xb9, 0x44, 0x25, 0x62, 0x47, 0x45, 0xc2, 0x3d, 0x13, 0xb6, 0x13, 0xea, 0x12]),
bytes([0x28, 0x7d, 0x8e, 0xa2, 0x6a, 0x5c, 0x68, 0x4e, 0x5b, 0xb5, 0xa6, 0x11, 0x66, 0x0c, 0x4f, 0x1b, 0x4d, 0x16, 0x41, 0xd7, 0x61, 0xd9, 0xe0, 0x4f, 0x11, 0x0b, 0x60, 0xdd, 0x77, 0x07, 0x82, 0xb8]),
bytes([0x0f, 0xaf, 0x56, 0x97, 0x0b, 0x4b, 0x97, 0x1d, 0xd7, 0x88, 0x73, 0xce, 0xcb, 0x6a, 0xe2, 0x0c, 0xf5, 0x33, 0xae, 0x75, 0x70, 0x01, 0xf3, 0x8d, 0x00, 0x62, 0x0f, 0x6c, 0x66, 0xdf, 0x77, 0xef])]
krav_sane_encrypt = KravatteSANSE(my_key, workers=test_workers)
krav_sane_decrypt = KravatteSANSE(my_key, workers=test_workers)
# Encryption Message 1
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_tag == output_tags[0]
assert real_c_text == output_ciphertexts[0]
# Decrypt Message 1
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 2
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[1]
assert real_tag == output_tags[1]
# Decrypt Message 2
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
# Encryption Message 3
real_c_text, real_tag = krav_sane_encrypt.wrap(my_message, my_metadata)
assert real_c_text == output_ciphertexts[2]
assert real_tag == output_tags[2]
# Decrypt Message 3
real_p_text, tag_valid = krav_sane_decrypt.unwrap(real_c_text, my_metadata, real_tag)
assert real_p_text == my_message
assert tag_valid
| 114.28248 | 6,173 | 0.651747 | 17,730 | 116,111 | 4.153243 | 0.018838 | 0.012833 | 0.0231 | 0.011122 | 0.618086 | 0.617217 | 0.613849 | 0.612287 | 0.609843 | 0.608485 | 0 | 0.314791 | 0.213968 | 116,111 | 1,015 | 6,174 | 114.395074 | 0.49204 | 0.053664 | 0 | 0.695103 | 1 | 0 | 0 | 0 | 0 | 0 | 0.461424 | 0 | 0.398104 | 1 | 0.033175 | false | 0 | 0.00316 | 0 | 0.037915 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
5faf2f97dcaa865a98fae2fffee3c60a42b823b2 | 77 | py | Python | purepool/settings/__init__.py | Lichtsucher/purepool | 5d330b5d64fdbc32f0c7e18a5a12d2ac3c8c2054 | [
"MIT"
] | 3 | 2018-05-19T16:29:53.000Z | 2022-02-23T01:55:52.000Z | purepool/settings/__init__.py | Lichtsucher/purepool | 5d330b5d64fdbc32f0c7e18a5a12d2ac3c8c2054 | [
"MIT"
] | 1 | 2019-11-06T05:38:54.000Z | 2019-11-06T05:38:54.000Z | purepool/settings/__init__.py | Lichtsucher/purepool | 5d330b5d64fdbc32f0c7e18a5a12d2ac3c8c2054 | [
"MIT"
] | null | null | null | from purepool.settings.generic import *
from purepool.settings.local import * | 38.5 | 39 | 0.831169 | 10 | 77 | 6.4 | 0.6 | 0.375 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 77 | 2 | 40 | 38.5 | 0.914286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
398096411549bb007fdf460cad9e9d348cb4087c | 1,517 | py | Python | sdk/keyvault/azure-keyvault-keys/tests/test_context_manager.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/keyvault/azure-keyvault-keys/tests/test_context_manager.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/keyvault/azure-keyvault-keys/tests/test_context_manager.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
from azure.keyvault.keys import KeyClient
from azure.keyvault.keys.crypto import CryptographyClient
from _shared.helpers import mock
def test_key_client_close():
transport = mock.MagicMock()
client = KeyClient(vault_url="https://localhost", credential=object(), transport=transport)
client.close()
assert transport.__enter__.call_count == 0
assert transport.__exit__.call_count == 1
def test_key_client_context_manager():
transport = mock.MagicMock()
client = KeyClient(vault_url="https://localhost", credential=object(), transport=transport)
with client:
assert transport.__enter__.call_count == 1
assert transport.__enter__.call_count == 1
assert transport.__exit__.call_count == 1
def test_crypto_client_close():
transport = mock.MagicMock()
client = CryptographyClient(key="https://localhost/a/b/c", credential=object(), transport=transport)
client.close()
assert transport.__enter__.call_count == 0
assert transport.__exit__.call_count == 1
def test_crypto_client_context_manager():
transport = mock.MagicMock()
client = CryptographyClient(key="https://localhost/a/b/c", credential=object(), transport=transport)
with client:
assert transport.__enter__.call_count == 1
assert transport.__enter__.call_count == 1
assert transport.__exit__.call_count == 1
| 33.711111 | 104 | 0.70468 | 173 | 1,517 | 5.791908 | 0.260116 | 0.149701 | 0.07984 | 0.143713 | 0.817365 | 0.817365 | 0.801397 | 0.767465 | 0.767465 | 0.767465 | 0 | 0.00771 | 0.145023 | 1,517 | 44 | 105 | 34.477273 | 0.764842 | 0.093606 | 0 | 0.758621 | 0 | 0 | 0.058394 | 0 | 0 | 0 | 0 | 0 | 0.344828 | 1 | 0.137931 | false | 0 | 0.103448 | 0 | 0.241379 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
39812cce33f4b0e297352d83b109a2ef68a66c7b | 130 | py | Python | __init__.py | sheepmen/Xspider | 280bb13e6530b474d444996c1894ee419c15795f | [
"MIT"
] | null | null | null | __init__.py | sheepmen/Xspider | 280bb13e6530b474d444996c1894ee419c15795f | [
"MIT"
] | null | null | null | __init__.py | sheepmen/Xspider | 280bb13e6530b474d444996c1894ee419c15795f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from proxy import ProxyPool
from spider import QueueManage
from spider import Spider | 21.666667 | 30 | 0.753846 | 19 | 130 | 5.157895 | 0.684211 | 0.204082 | 0.326531 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008929 | 0.138462 | 130 | 6 | 31 | 21.666667 | 0.866071 | 0.315385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
39b9e769f492f3ad828344c11f59490847cda501 | 26 | py | Python | Embedded/RaspberryPi/sample.py | BlaCkinkGJ/SFSH | 0134f1e4698ef34caee2d5a8cd875c51507b3527 | [
"MIT"
] | 1 | 2019-02-28T08:39:55.000Z | 2019-02-28T08:39:55.000Z | Embedded/RaspberryPi/sample.py | BlaCkinkGJ/SFSH | 0134f1e4698ef34caee2d5a8cd875c51507b3527 | [
"MIT"
] | 5 | 2018-07-17T13:09:34.000Z | 2018-09-11T13:55:33.000Z | Embedded/RaspberryPi/sample.py | BlaCkinkGJ/SFSH | 0134f1e4698ef34caee2d5a8cd875c51507b3527 | [
"MIT"
] | 2 | 2019-05-17T03:07:08.000Z | 2022-01-01T07:04:31.000Z | print([1,2,3] == [1,2,3])
| 13 | 25 | 0.423077 | 7 | 26 | 1.571429 | 0.571429 | 0.363636 | 0.545455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.26087 | 0.115385 | 26 | 1 | 26 | 26 | 0.217391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 |
39bb196bb200cfe15266fccf85d703e238df13ce | 175 | py | Python | PublicDataReader/data.py | jswoo/PublicDataReader | a90428982c4a4de0bc1bff279fcf0d2009f4d090 | [
"MIT"
] | 2 | 2022-02-07T07:01:42.000Z | 2022-02-07T07:05:50.000Z | PublicDataReader/data.py | jswoo/PublicDataReader | a90428982c4a4de0bc1bff279fcf0d2009f4d090 | [
"MIT"
] | null | null | null | PublicDataReader/data.py | jswoo/PublicDataReader | a90428982c4a4de0bc1bff279fcf0d2009f4d090 | [
"MIT"
] | null | null | null | # 국토교통부(molit) Open API 통합
from PublicDataReader.PublicDataPortal.molit import Transaction
from PublicDataReader.PublicDataPortal.Air import AirStation, AirDataRT, AirData | 43.75 | 80 | 0.845714 | 19 | 175 | 7.789474 | 0.736842 | 0.27027 | 0.486486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102857 | 175 | 4 | 80 | 43.75 | 0.942675 | 0.137143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
39bca67f7882d8aeaac0fd0fa8b68ea42399ffc1 | 21,273 | py | Python | cogs/manage.py | AlyxFoxy/Jeanne-Bot | f4310aad9c78b6cfecce9c1e5a8495f846dd0af8 | [
"MIT"
] | 2 | 2022-01-12T11:22:44.000Z | 2022-02-13T13:00:11.000Z | cogs/manage.py | AlyxFoxy/Jeanne-Bot | f4310aad9c78b6cfecce9c1e5a8495f846dd0af8 | [
"MIT"
] | 8 | 2021-10-02T18:53:55.000Z | 2022-01-23T13:24:11.000Z | cogs/manage.py | AlyxFoxy/Jeanne-Bot | f4310aad9c78b6cfecce9c1e5a8495f846dd0af8 | [
"MIT"
] | 2 | 2021-11-06T16:02:02.000Z | 2022-02-13T13:00:32.000Z | from urllib import response
from config import db
from nextcord import *
from nextcord import slash_command as jeanne_slash
from nextcord.ext.commands import Cog
from nextcord.abc import GuildChannel
from assets.errormsgs import *
from nextcord.ext.application_checks import *
class slashmanage(Cog):
def __init__(self, bot):
self.bot = bot
@jeanne_slash(description="Create a new role")
@has_permissions(manage_roles=True)
async def create_role(self, ctx: Interaction, role_name=SlashOption(description="What will it be named?")):
await ctx.response.defer()
try:
botbanquery = db.execute(
f"SELECT * FROM botbannedData WHERE user_id = {ctx.user.id}")
botbanned_data = botbanquery.fetchone()
botbanned = botbanned_data[0]
botbanned_user = await self.bot.fetch_user(botbanned)
if ctx.user.id == botbanned_user.id:
pass
except:
guild = ctx.guild
await guild.create_role(name=role_name)
embed = Embed(color=0x00FF68)
embed.add_field(name="Role create",
value=f"The role named `{role_name}` has been made", inline=False)
await ctx.followup.send(embed=embed)
@create_role.error
async def create_role_error(self, ctxs:Interaction, error):
if isinstance(error, ApplicationBotMissingPermissions):
await ctxs.response.defer()
await ctxs.followup.send(embed=role_perm)
@jeanne_slash(description="Rename a role")
@has_permissions(manage_roles=True)
async def rename_role(self, ctx: Interaction, role: Role = SlashOption(description="Which role are you renaming?"), new_name=SlashOption(description="What will it be named?")):
await ctx.response.defer()
try:
botbanquery = db.execute(
f"SELECT * FROM botbannedData WHERE user_id = {ctx.user.id}")
botbanned_data = botbanquery.fetchone()
botbanned = botbanned_data[0]
botbanned_user = await self.bot.fetch_user(botbanned)
if ctx.user.id == botbanned_user.id:
pass
except:
await role.edit(name=new_name)
embed = Embed(color=0x00FF68)
embed.add_field(name="Role renamed",
value=f"Role has been renamed to `{new_name}`", inline=False)
await ctx.followup.send(embed=embed)
@rename_role.error
async def rename_role_error(self, ctxs:Interaction, error):
if isinstance(error, ApplicationMissingPermissions):
await ctxs.response.defer()
await ctxs.followup.send(embed=role_perm)
@jeanne_slash(description="Delete a role")
@has_permissions(manage_roles=True)
async def delete_role(self, ctx: Interaction, role: Role = SlashOption(description="Which one are you deleting?")):
await ctx.response.defer()
try:
botbanquery = db.execute(
f"SELECT * FROM botbannedData WHERE user_id = {ctx.user.id}")
botbanned_data = botbanquery.fetchone()
botbanned = botbanned_data[0]
botbanned_user = await self.bot.fetch_user(botbanned)
if ctx.user.id == botbanned_user.id:
pass
except:
await role.delete()
embed = Embed(color=0x00FF68)
embed.add_field(name=f"Role deleted",
value=f"`{role}` has been deleted", inline=False)
await ctx.followup.send(embed=embed)
@delete_role.error
async def delete_role_error(self, ctxs: Interaction, error):
if isinstance(error, ApplicationMissingPermissions):
await ctxs.response.defer()
await ctxs.followup.send(embed=role_perm)
@jeanne_slash(description="Add a role to a member")
@has_permissions(manage_roles=True)
async def add_role(self, ctx: Interaction, member: Member = SlashOption(description="Which member?"), role: Role = SlashOption(description="Which role will you add?")):
await ctx.response.defer()
try:
botbanquery = db.execute(
f"SELECT * FROM botbannedData WHERE user_id = {ctx.user.id}")
botbanned_data = botbanquery.fetchone()
botbanned = botbanned_data[0]
botbanned_user = await self.bot.fetch_user(botbanned)
if ctx.user.id == botbanned_user.id:
pass
except:
await member.add_roles(role)
embed = Embed(color=0x00FF68)
embed.add_field(name=f"Role given",
value=f"`{role}` was given to `{member}`", inline=False)
await ctx.followup.send(embed=embed)
@add_role.error
async def add_role_error(self, ctxs: Interaction, error):
if isinstance(error, ApplicationMissingPermissions):
await ctxs.response.defer()
await ctxs.followup.send(embed=role_perm)
@jeanne_slash(description="Remove a role from a member")
@has_permissions(manage_roles=True)
async def remove_role(self, ctx: Interaction, member: Member = SlashOption(description="Which member?"), role: Role = SlashOption(description="Which role will you delete?")):
await ctx.response.defer()
try:
botbanquery = db.execute(
f"SELECT * FROM botbannedData WHERE user_id = {ctx.user.id}")
botbanned_data = botbanquery.fetchone()
botbanned = botbanned_data[0]
botbanned_user = await self.bot.fetch_user(botbanned)
if ctx.user.id == botbanned_user.id:
pass
except:
await member.remove_roles(role)
embed = Embed(color=0x00FF68)
embed.add_field(name=f"Role removed",
value=f"`{role}` was removed from `{member}`", inline=False)
await ctx.followup.send(embed=embed)
@remove_role.error
async def remove_role_error(self, ctxs: Interaction, error):
if isinstance(error, ApplicationMissingPermissions):
await ctxs.response.defer()
await ctxs.followup.send(embed=role_perm)
@jeanne_slash(description="Rename a channel")
@has_permissions(manage_channels=True)
async def rename_channel(self, ctx: Interaction,
channel: GuildChannel = SlashOption(
channel_types=[ChannelType.text,
ChannelType.voice, ChannelType.category, ChannelType.news, ChannelType.public_thread],
description="Choose a channel to rename", required=True), new_name=SlashOption(description="Which channel are you renaming?")):
await ctx.response.defer()
try:
botbanquery = db.execute(
f"SELECT * FROM botbannedData WHERE user_id = {ctx.user.id}")
botbanned_data = botbanquery.fetchone()
botbanned = botbanned_data[0]
botbanned_user = await self.bot.fetch_user(botbanned)
if ctx.user.id == botbanned_user.id:
pass
except:
await channel.edit(name=new_name)
embed = Embed(color=0x00FF68)
embed.add_field(name="Channel renamed",
value=f"Channel is now `{new_name}`", inline=False)
await ctx.followup.send(embed=embed)
@rename_channel.error
async def rename_channel_error(self, ctx:Interaction, error):
if isinstance(error, ApplicationMissingPermissions):
await ctx.response.defer()
await ctx.followup.send(channel_perm)
@jeanne_slash(description="Delete a channel")
@has_permissions(manage_channels=True)
async def delete_channel(self, ctx: Interaction,
channel: GuildChannel = SlashOption(
channel_types=[ChannelType.text,
ChannelType.voice, ChannelType.category, ChannelType.news, ChannelType.public_thread],
description="Choose a channel to delete")):
await ctx.response.defer()
try:
botbanquery = db.execute(
f"SELECT * FROM botbannedData WHERE user_id = {ctx.user.id}")
botbanned_data = botbanquery.fetchone()
botbanned = botbanned_data[0]
botbanned_user = await self.bot.fetch_user(botbanned)
if ctx.user.id == botbanned_user.id:
pass
except:
await channel.delete()
embed = Embed(color=0x00FF68)
embed.add_field(name="Channel deleted",
value=f"`{channel}` has been deleted", inline=False)
await ctx.followup.send(embed=embed)
@delete_channel.error
async def delete_channel_error(self, ctx: Interaction, error):
if isinstance(error, ApplicationMissingPermissions):
await ctx.response.defer()
await ctx.followup.send(channel_perm)
@jeanne_slash(description='Create a channel')
@has_permissions(manage_channels=True)
async def create_channel(self, ctx: Interaction, channel_type=SlashOption(description='Type of channel', choices=['Text Channel', 'Voice Channel', 'Category'], required=True), channel_name=SlashOption(description="Which will you name it?", required=True)):
await ctx.response.defer()
try:
botbanquery = db.execute(
f"SELECT * FROM botbannedData WHERE user_id = {ctx.user.id}")
botbanned_data = botbanquery.fetchone()
botbanned = botbanned_data[0]
botbanned_user = await self.bot.fetch_user(botbanned)
if ctx.user.id == botbanned_user.id:
pass
except:
if channel_type == 'Text Channel':
await ctx.guild.create_text_channel(channel_name)
embed = Embed(color=0x00FF68)
embed.add_field(name="Text channel created",
value=f"A new text channel called **{channel_name}** was created", inline=False)
await ctx.followup.send(embed=embed)
elif channel_type == 'Voice Channel':
await ctx.guild.create_voice_channel(channel_name)
embed = Embed(color=0x00FF68)
embed.add_field(name="Voice channel created",
value=f"A new voice channel called `{channel_name}` was created", inline=False)
await ctx.followup.send(embed=embed)
elif channel_type == 'Category':
await ctx.guild.create_category_channel(channel_name)
embed = Embed(color=0x00FF68)
embed.add_field(name="Category created",
value=f"A new category called **{channel_name}** was created", inline=False)
await ctx.followup.send(embed=embed)
@create_channel.error
async def create_channel_error(self, ctx: Interaction, error):
if isinstance(error, ApplicationMissingPermissions):
await ctx.response.defer()
await ctx.followup.send(channel_perm)
@jeanne_slash(description="Removes a modlog channel that was set from the database")
@has_permissions(manage_guild=True)
async def remove(self, ctx: Interaction, type=SlashOption(choices=['welcomer', 'leaver', 'modlog', 'all'], description='Which one or all?')):
await ctx.response.defer()
try:
botbanquery = db.execute(
f"SELECT * FROM botbannedData WHERE user_id = {ctx.user.id}")
botbanned_data = botbanquery.fetchone()
botbanned = botbanned_data[0]
botbanned_user = await self.bot.fetch_user(botbanned)
if ctx.user.id == botbanned_user.id:
pass
except:
if type == 'welcomer':
cur = db.cursor()
cur.execute(
f"SELECT * FROM welcomerData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
if result == None:
await ctx.followup.send("You have no welcomer channel set")
else:
cur.execute(
f"SELECT channel_id FROM welcomerData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
cur.execute(
f"DELETE FROM welcomerData WHERE channel_id = {result[0]}")
channel = ctx.guild.get_channel(result[0])
db.commit()
welcomer = Embed(color=0x00FF68)
welcomer.add_field(
name="Welcomer channel removed", value=f"{channel.name} been removed from the welcomer database.")
await ctx.followup.send(embed=welcomer)
elif type == 'leaver':
cur = db.cursor()
cur.execute(
f"SELECT * FROM leaverData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
if result == None:
await ctx.followup.send("You have no welcomer channel set")
else:
cur.execute(
f"SELECT channel_id FROM leaverData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
cur.execute(
f"DELETE FROM leaverData WHERE channel_id = {result[0]}")
channel = ctx.guild.get_channel(result[0])
db.commit()
leaver = Embed(color=0x00FF68)
leaver.add_field(
name="Leaver channel removed", value=f"{channel.name} been removed from the leaver database.")
await ctx.followup.send(embed=leaver)
elif type == 'modlog':
cur = db.cursor()
cur.execute(
f"SELECT * FROM modlogData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
if result == None:
await ctx.followup.send("You have no modlog channel set")
else:
cur.execute(
f"SELECT channel_id FROM modlogData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
cur.execute(
f"DELETE FROM modlogData WHERE channel_id = {result[0]}")
channel=ctx.guild.get_channel(result[0])
db.commit()
modlog = Embed(color=0x00FF68)
modlog.add_field(
name="Modlog channel removed", value=f"{channel.name} been removed from the modlog database.")
await ctx.followup.send(embed=modlog)
elif type == 'all':
try:
cur = db.cursor()
cur.execute(
f"SELECT * FROM modlogData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
if result == None:
pass
else:
cur.execute(
f"SELECT channel_id FROM modlogData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
cur.execute(
f"DELETE FROM modlogData WHERE channel_id = {result[0]}")
channel=ctx.guild.get_channel(result[0])
db.commit()
except:
pass
try:
cur = db.cursor()
cur.execute(
f"SELECT * FROM leaverData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
if result == None:
pass
else:
cur.execute(
f"SELECT channel_id FROM leaverData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
cur.execute(
f"DELETE FROM leaverData WHERE channel_id = {result[0]}")
channel = ctx.guild.get_channel(result[0])
db.commit()
except:
pass
try:
cur = db.cursor()
cur.execute(
f"SELECT * FROM welcomerData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
if result == None:
pass
else:
cur.execute(
f"SELECT channel_id FROM welcomerData WHERE guild_id = {ctx.guild.id}")
result = cur.fetchone()
cur.execute(
f"DELETE FROM welcomerData WHERE channel_id = {result[0]}")
channel = ctx.guild.get_channel(result[0])
db.commit()
except:
pass
all = Embed(color=0x00FF68)
all.add_field(
name="Leaver channel removed", value="All channels that were set for the server have been removed from the database.")
await ctx.followup.send(embed=all)
@remove.error
async def remove_error(self, ctx: Interaction, error):
if isinstance(error, ApplicationMissingPermissions):
await ctx.response.defer()
await ctx.followup.send(embed=manage_server_perm)
@jeanne_slash(description="Choose a channel to welcome members")
@has_permissions(manage_guild=True)
async def set(self, ctx: Interaction, type=SlashOption(choices=['welcomer', 'leaver', 'modlog'], description="Which one are you setting?", required=True),
channel: GuildChannel = SlashOption(
channel_types=[ChannelType.text, ChannelType.news],
description="Choose a channel")):
await ctx.response.defer()
try:
botbanquery = db.execute(
f"SELECT * FROM botbannedData WHERE user_id = {ctx.user.id}")
botbanned_data = botbanquery.fetchone()
botbanned = botbanned_data[0]
botbanned_user = await self.bot.fetch_user(botbanned)
if ctx.user.id == botbanned_user.id:
pass
except:
if type == 'welcomer':
cursor = db.execute(
"INSERT OR IGNORE INTO welcomerData (guild_id, channel_id) VALUES (?,?)", (ctx.guild.id, channel.id))
if cursor.rowcount == 0:
db.execute(
f"UPDATE welcomerData SET channel_id = {channel.id} WHERE guild_id = {ctx.guild.id}")
db.commit()
welcomer = Embed(color=0x00FF68)
welcomer.add_field(
name="Welcomer channel set", value=f"{channel.mention} has been selected to welcomer members in the server.")
await ctx.followup.send(embed=welcomer)
elif type == 'leaver':
cursor = db.execute(
"INSERT OR IGNORE INTO leaverData (guild_id, channel_id) VALUES (?,?)", (ctx.guild.id, channel.id))
if cursor.rowcount == 0:
db.execute(
f"UPDATE leaverData SET channel_id = {channel.id} WHERE guild_id = {ctx.guild.id}")
db.commit()
leaver = Embed(color=0x00FF68)
leaver.add_field(
name="Leave channel set", value=f"{channel.mention} has been selected if someone left the server")
await ctx.followup.send(embed=leaver)
elif type == 'modlog':
cursor = db.execute(
"INSERT OR IGNORE INTO modlogData (guild_id, channel_id) VALUES (?,?)", (ctx.guild.id, channel.id))
if cursor.rowcount == 0:
db.execute(
f"UPDATE modlogData SET channel_id = {channel.id} WHERE guild_id = {ctx.guild.id}")
db.commit()
modlog = Embed(color=0x00FF68)
modlog.add_field(
name="Modlog channel set", value=f"{channel.mention} has been selected to have all moderation actions updated in there.")
await ctx.followup.send(embed=modlog)
@set.error
async def set_error(self, ctx:Interaction, error):
if isinstance(error, ApplicationMissingPermissions):
await ctx.response.defer()
await ctx.followup.send(embed=manage_server_perm)
def setup(bot):
bot.add_cog(slashmanage(bot))
| 46.045455 | 260 | 0.555775 | 2,220 | 21,273 | 5.218919 | 0.074775 | 0.029691 | 0.034524 | 0.043156 | 0.858795 | 0.837217 | 0.821422 | 0.801226 | 0.791818 | 0.701795 | 0 | 0.007984 | 0.352325 | 21,273 | 461 | 261 | 46.145336 | 0.832922 | 0 | 0 | 0.727723 | 0 | 0 | 0.189771 | 0 | 0 | 0 | 0.006393 | 0 | 0 | 1 | 0.004951 | false | 0.039604 | 0.019802 | 0 | 0.027228 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
39c588c7ac1f97b962901210b1da5a8f7af6c53a | 31,819 | py | Python | tests/Observatory/test_SotoStarshade_SKi.py | toddytharmonkey/EXOSIMS | 526345356e537fd201676b7cc998380fb22229bb | [
"BSD-3-Clause"
] | null | null | null | tests/Observatory/test_SotoStarshade_SKi.py | toddytharmonkey/EXOSIMS | 526345356e537fd201676b7cc998380fb22229bb | [
"BSD-3-Clause"
] | null | null | null | tests/Observatory/test_SotoStarshade_SKi.py | toddytharmonkey/EXOSIMS | 526345356e537fd201676b7cc998380fb22229bb | [
"BSD-3-Clause"
] | null | null | null | from EXOSIMS.Observatory.SotoStarshade_SKi import SotoStarshade_SKi as sss
import unittest
import numpy as np
import astropy.units as u
from scipy.integrate import solve_ivp
import astropy.constants as const
import hashlib
import scipy.optimize as optimize
from scipy.optimize import basinhopping
import scipy.interpolate as interp
import scipy.integrate as intg
from scipy.integrate import solve_bvp
from copy import deepcopy
import time
import os
import pickle
class TestSotoStarshadeSKi(unittest.TestCase):
"""
Sonny Rappaport, July 2021, Cornell
This class tests particular methods from SotoStarshade_Ski.
"""
def test_convertTime_to_dim(self):
"""tests covertTime_to_dim with some trivial inputs, with outputs generated
via a locally run Jupyter notebook with python """
#tests an array of input numbers from 0 to 100
input = np.linspace(0, 100, num=101)
output = u.yr*[0.0, 0.15915494309189535, 0.3183098861837907, 0.477464829275686, 0.6366197723675814, 0.7957747154594768, 0.954929658551372, 1.1140846016432675, 1.2732395447351628, 1.432394487827058, 1.5915494309189535, 1.7507043740108488, 1.909859317102744, 2.0690142601946393, 2.228169203286535, 2.3873241463784303, 2.5464790894703255, 2.705634032562221, 2.864788975654116, 3.0239439187460113, 3.183098861837907, 3.3422538049298023, 3.5014087480216975, 3.660563691113593, 3.819718634205488, 3.9788735772973833, 4.138028520389279, 4.297183463481174, 4.45633840657307, 4.615493349664965, 4.7746482927568605, 4.933803235848756, 5.092958178940651, 5.252113122032546, 5.411268065124442, 5.570423008216337, 5.729577951308232, 5.888732894400127, 6.047887837492023, 6.207042780583918, 6.366197723675814, 6.525352666767709, 6.684507609859605, 6.8436625529515, 7.002817496043395, 7.16197243913529, 7.321127382227186, 7.480282325319081, 7.639437268410976, 7.798592211502871, 7.957747154594767, 8.116902097686662, 8.276057040778557, 8.435211983870452, 8.594366926962348, 8.753521870054243, 8.91267681314614, 9.071831756238035, 9.23098669932993, 9.390141642421826, 9.549296585513721, 9.708451528605616, 9.867606471697512, 10.026761414789407, 10.185916357881302, 10.345071300973197, 10.504226244065093, 10.663381187156988, 10.822536130248883, 10.981691073340778, 11.140846016432674, 11.300000959524569, 11.459155902616464, 11.61831084570836, 11.777465788800255, 11.93662073189215, 12.095775674984045, 12.25493061807594, 12.414085561167836, 12.573240504259733, 12.732395447351628, 12.891550390443523, 13.050705333535419, 13.209860276627314, 13.36901521971921, 13.528170162811104, 13.687325105903, 13.846480048994895, 14.00563499208679, 14.164789935178685, 14.32394487827058, 14.483099821362476, 14.642254764454371, 14.801409707546267, 14.960564650638162, 15.119719593730057, 15.278874536821952, 15.438029479913848, 15.597184423005743, 15.756339366097638, 15.915494309189533]
np.testing.assert_array_equal(sss.convertTime_to_dim(self,input),output)
def test_convertPos_to_dim(self):
"""tests convertPos_to_dim with some trivial inputs. Because the canonical
units are in AU, simply check to see that the input is returned with astropy
AU units attached.
"""
#tests that an array of input numbers from 0 to 100 is returned with units
input = np.linspace(0,100, num=101)
np.testing.assert_array_equal(sss.convertPos_to_dim(self,input),input*u.AU)
def test_convertVel_to_dim(self):
"""tests convertVel_to_dim with some trivial inputs, with outputs generated
via a locally run Jupyter notebook with python
Input units: 1/2pi
"""
#tests that an array of input numbers from 0 to 100 is returned with units
input = np.linspace(0,100, num=101)
output = u.AU/u.yr*[0.0, 6.283185307179586, 12.566370614359172, 18.84955592153876, 25.132741228718345, 31.41592653589793, 37.69911184307752, 43.982297150257104, 50.26548245743669, 56.548667764616276, 62.83185307179586, 69.11503837897544, 75.39822368615503, 81.68140899333463, 87.96459430051421, 94.24777960769379, 100.53096491487338, 106.81415022205297, 113.09733552923255, 119.38052083641213, 125.66370614359172, 131.94689145077132, 138.23007675795088, 144.51326206513048, 150.79644737231007, 157.07963267948966, 163.36281798666926, 169.64600329384882, 175.92918860102841, 182.212373908208, 188.49555921538757, 194.77874452256717, 201.06192982974676, 207.34511513692635, 213.62830044410595, 219.9114857512855, 226.1946710584651, 232.4778563656447, 238.76104167282426, 245.04422698000386, 251.32741228718345, 257.610597594363, 263.89378290154264, 270.1769682087222, 276.46015351590177, 282.7433388230814, 289.02652413026095, 295.3097094374406, 301.59289474462014, 307.8760800517997, 314.1592653589793, 320.4424506661589, 326.7256359733385, 333.0088212805181, 339.29200658769764, 345.57519189487726, 351.85837720205683, 358.1415625092364, 364.424747816416, 370.7079331235956, 376.99111843077515, 383.27430373795477, 389.55748904513433, 395.84067435231395, 402.1238596594935, 408.4070449666731, 414.6902302738527, 420.97341558103227, 427.2566008882119, 433.53978619539146, 439.822971502571, 446.10615680975064, 452.3893421169302, 458.6725274241098, 464.9557127312894, 471.23889803846896, 477.5220833456485, 483.80526865282815, 490.0884539600077, 496.37163926718733, 502.6548245743669, 508.93800988154646, 515.221195188726, 521.5043804959057, 527.7875658030853, 534.0707511102648, 540.3539364174444, 546.637121724624, 552.9203070318035, 559.2034923389832, 565.4866776461628, 571.7698629533423, 578.0530482605219, 584.3362335677015, 590.6194188748811, 596.9026041820607, 603.1857894892403, 609.4689747964198, 615.7521601035994, 622.0353454107791, 628.3185307179587]
np.testing.assert_array_equal(sss.convertVel_to_dim(self,input),output)
def test_convertAngVel_to_canonical(self):
"""tests convertAngVel_to_canonical with some trivial inputs,
with outputs generated via a locally run Jupyter notebook with python
"""
#tests that an array of input numbers in rad/yr from 0 to 100 is returned in
#canonical units
input = u.rad/u.yr*np.linspace(0,100, num=101)
output = [0.0, 0.15915494309189535, 0.3183098861837907, 0.477464829275686, 0.6366197723675814, 0.7957747154594768, 0.954929658551372, 1.1140846016432675, 1.2732395447351628, 1.432394487827058, 1.5915494309189535, 1.7507043740108488, 1.909859317102744, 2.0690142601946393, 2.228169203286535, 2.3873241463784303, 2.5464790894703255, 2.705634032562221, 2.864788975654116, 3.0239439187460113, 3.183098861837907, 3.3422538049298023, 3.5014087480216975, 3.660563691113593, 3.819718634205488, 3.9788735772973833, 4.138028520389279, 4.297183463481174, 4.45633840657307, 4.615493349664965, 4.7746482927568605, 4.933803235848756, 5.092958178940651, 5.252113122032546, 5.411268065124442, 5.570423008216337, 5.729577951308232, 5.888732894400127, 6.047887837492023, 6.207042780583918, 6.366197723675814, 6.525352666767709, 6.684507609859605, 6.8436625529515, 7.002817496043395, 7.16197243913529, 7.321127382227186, 7.480282325319081, 7.639437268410976, 7.798592211502871, 7.957747154594767, 8.116902097686662, 8.276057040778557, 8.435211983870452, 8.594366926962348, 8.753521870054243, 8.91267681314614, 9.071831756238035, 9.23098669932993, 9.390141642421826, 9.549296585513721, 9.708451528605616, 9.867606471697512, 10.026761414789407, 10.185916357881302, 10.345071300973197, 10.504226244065093, 10.663381187156988, 10.822536130248883, 10.981691073340778, 11.140846016432674, 11.300000959524569, 11.459155902616464, 11.61831084570836, 11.777465788800255, 11.93662073189215, 12.095775674984045, 12.25493061807594, 12.414085561167836, 12.573240504259733, 12.732395447351628, 12.891550390443523, 13.050705333535419, 13.209860276627314, 13.36901521971921, 13.528170162811104, 13.687325105903, 13.846480048994895, 14.00563499208679, 14.164789935178685, 14.32394487827058, 14.483099821362476, 14.642254764454371, 14.801409707546267, 14.960564650638162, 15.119719593730057, 15.278874536821952, 15.438029479913848, 15.597184423005743, 15.756339366097638, 15.915494309189533]
np.testing.assert_array_equal(sss.convertAngVel_to_canonical(self,input),output)
#tests the same as above, except the input is in degree/yr
input = u.deg/u.yr*np.linspace(0,100, num=101)
output = [0.0, 0.002777777777777778, 0.005555555555555556, 0.008333333333333333, 0.011111111111111112, 0.013888888888888888, 0.016666666666666666, 0.019444444444444445, 0.022222222222222223, 0.025, 0.027777777777777776, 0.030555555555555555, 0.03333333333333333, 0.03611111111111111, 0.03888888888888889, 0.041666666666666664, 0.044444444444444446, 0.04722222222222222, 0.05, 0.05277777777777778, 0.05555555555555555, 0.058333333333333334, 0.06111111111111111, 0.06388888888888888, 0.06666666666666667, 0.06944444444444445, 0.07222222222222222, 0.075, 0.07777777777777778, 0.08055555555555556, 0.08333333333333333, 0.08611111111111111, 0.08888888888888889, 0.09166666666666666, 0.09444444444444444, 0.09722222222222222, 0.1, 0.10277777777777777, 0.10555555555555556, 0.10833333333333334, 0.1111111111111111, 0.11388888888888889, 0.11666666666666667, 0.11944444444444445, 0.12222222222222222, 0.125, 0.12777777777777777, 0.13055555555555556, 0.13333333333333333, 0.1361111111111111, 0.1388888888888889, 0.14166666666666666, 0.14444444444444443, 0.14722222222222223, 0.15, 0.1527777777777778, 0.15555555555555556, 0.15833333333333333, 0.16111111111111112, 0.1638888888888889, 0.16666666666666666, 0.16944444444444445, 0.17222222222222222, 0.175, 0.17777777777777778, 0.18055555555555555, 0.18333333333333332, 0.18611111111111112, 0.18888888888888888, 0.19166666666666668, 0.19444444444444445, 0.19722222222222222, 0.2, 0.20277777777777778, 0.20555555555555555, 0.20833333333333334, 0.2111111111111111, 0.21388888888888888, 0.21666666666666667, 0.21944444444444444, 0.2222222222222222, 0.225, 0.22777777777777777, 0.23055555555555557, 0.23333333333333334, 0.2361111111111111, 0.2388888888888889, 0.24166666666666667, 0.24444444444444444, 0.24722222222222223, 0.25, 0.25277777777777777, 0.25555555555555554, 0.25833333333333336, 0.2611111111111111, 0.2638888888888889, 0.26666666666666666, 0.26944444444444443, 0.2722222222222222, 0.275, 0.2777777777777778]
np.testing.assert_allclose(sss.convertAngVel_to_canonical(self,input),output)
def test_convertAngAcc_to_canonical(self):
"""tests convertAngAcc_to_canonical with some trivial inputs,
with outputs generated via a locally run Jupyter notebook with python
"""
#tests that an array of input numbers in rad/yr^2 from 0 to 100 is returned in
#canonical units
input = u.rad/(u.yr)**2*np.linspace(0,100, num=101)
output = [0.0, 0.025330295910584444, 0.05066059182116889, 0.07599088773175333, 0.10132118364233778, 0.12665147955292222, 0.15198177546350666, 0.1773120713740911, 0.20264236728467555, 0.22797266319526, 0.25330295910584444, 0.2786332550164289, 0.3039635509270133, 0.32929384683759777, 0.3546241427481822, 0.37995443865876666, 0.4052847345693511, 0.43061503047993555, 0.45594532639052, 0.48127562230110443, 0.5066059182116889, 0.5319362141222733, 0.5572665100328578, 0.5825968059434422, 0.6079271018540267, 0.6332573977646111, 0.6585876936751955, 0.68391798958578, 0.7092482854963644, 0.7345785814069489, 0.7599088773175333, 0.7852391732281178, 0.8105694691387022, 0.8358997650492866, 0.8612300609598711, 0.8865603568704555, 0.91189065278104, 0.9372209486916244, 0.9625512446022089, 0.9878815405127933, 1.0132118364233778, 1.0385421323339623, 1.0638724282445466, 1.0892027241551312, 1.1145330200657155, 1.1398633159763, 1.1651936118868844, 1.190523907797469, 1.2158542037080533, 1.2411844996186379, 1.2665147955292222, 1.2918450914398067, 1.317175387350391, 1.3425056832609756, 1.36783597917156, 1.3931662750821445, 1.4184965709927289, 1.4438268669033134, 1.4691571628138977, 1.4944874587244823, 1.5198177546350666, 1.5451480505456512, 1.5704783464562355, 1.59580864236682, 1.6211389382774044, 1.646469234187989, 1.6717995300985733, 1.6971298260091578, 1.7224601219197422, 1.7477904178303267, 1.773120713740911, 1.7984510096514956, 1.82378130556208, 1.8491116014726645, 1.8744418973832488, 1.8997721932938334, 1.9251024892044177, 1.9504327851150023, 1.9757630810255866, 2.001093376936171, 2.0264236728467555, 2.05175396875734, 2.0770842646679246, 2.102414560578509, 2.1277448564890933, 2.1530751523996776, 2.1784054483102624, 2.2037357442208467, 2.229066040131431, 2.2543963360420154, 2.2797266319526, 2.3050569278631845, 2.330387223773769, 2.355717519684353, 2.381047815594938, 2.4063781115055223, 2.4317084074161066, 2.457038703326691, 2.4823689992372757, 2.50769929514786, 2.5330295910584444]
np.testing.assert_array_equal(sss.convertAngAcc_to_canonical(self,input),output)
#tests the same as above, except the input is in degree/yr^2
input = u.deg/(u.yr)**2*np.linspace(0,100, num=101)
output = [0.0, 0.0004420970641441537, 0.0008841941282883074, 0.001326291192432461, 0.0017683882565766149, 0.0022104853207207684, 0.002652582384864922, 0.003094679449009076, 0.0035367765131532297, 0.0039788735772973835, 0.004420970641441537, 0.004863067705585691, 0.005305164769729844, 0.0057472618338739985, 0.006189358898018152, 0.006631455962162306, 0.007073553026306459, 0.007515650090450614, 0.007957747154594767, 0.008399844218738921, 0.008841941282883074, 0.009284038347027228, 0.009726135411171382, 0.010168232475315536, 0.010610329539459689, 0.011052426603603843, 0.011494523667747997, 0.01193662073189215, 0.012378717796036304, 0.012820814860180458, 0.013262911924324612, 0.013705008988468765, 0.014147106052612919, 0.014589203116757073, 0.015031300180901227, 0.01547339724504538, 0.015915494309189534, 0.016357591373333688, 0.016799688437477842, 0.017241785501621996, 0.017683882565766147, 0.0181259796299103, 0.018568076694054456, 0.01901017375819861, 0.019452270822342764, 0.019894367886486918, 0.020336464950631072, 0.020778562014775223, 0.021220659078919377, 0.02166275614306353, 0.022104853207207686, 0.02254695027135184, 0.022989047335495994, 0.02343114439964015, 0.0238732414637843, 0.024315338527928453, 0.024757435592072607, 0.02519953265621676, 0.025641629720360916, 0.02608372678450507, 0.026525823848649224, 0.026967920912793375, 0.02741001797693753, 0.027852115041081683, 0.028294212105225838, 0.028736309169369992, 0.029178406233514146, 0.0296205032976583, 0.030062600361802454, 0.030504697425946605, 0.03094679449009076, 0.03138889155423492, 0.03183098861837907, 0.03227308568252322, 0.032715182746667376, 0.03315727981081153, 0.033599376874955685, 0.034041473939099835, 0.03448357100324399, 0.034925668067388144, 0.035367765131532294, 0.03580986219567645, 0.0362519592598206, 0.03669405632396476, 0.03713615338810891, 0.03757825045225307, 0.03802034751639722, 0.03846244458054137, 0.03890454164468553, 0.03934663870882968, 0.039788735772973836, 0.04023083283711799, 0.040672929901262145, 0.041115026965406296, 0.041557124029550446, 0.041999221093694604, 0.042441318157838755, 0.04288341522198291, 0.04332551228612706, 0.04376760935027122, 0.04420970641441537]
np.testing.assert_allclose(sss.convertAngAcc_to_canonical(self,input),output)
def test_convertAcc_to_canonical(self):
"""tests convertAngAcc_to_canonical with some trivial inputs,
with outputs generated via a locally run Jupyter notebook with python
"""
#tests that an array of input numbers in AU/yr^2 is returned in canonical units
input = u.AU/(u.yr)**2*np.linspace(0,100, num=101)
output = [0.0, 0.025330295910584444, 0.05066059182116889, 0.07599088773175333, 0.10132118364233778, 0.12665147955292222, 0.15198177546350666, 0.1773120713740911, 0.20264236728467555, 0.22797266319526, 0.25330295910584444, 0.2786332550164289, 0.3039635509270133, 0.32929384683759777, 0.3546241427481822, 0.37995443865876666, 0.4052847345693511, 0.43061503047993555, 0.45594532639052, 0.48127562230110443, 0.5066059182116889, 0.5319362141222733, 0.5572665100328578, 0.5825968059434422, 0.6079271018540267, 0.6332573977646111, 0.6585876936751955, 0.68391798958578, 0.7092482854963644, 0.7345785814069489, 0.7599088773175333, 0.7852391732281178, 0.8105694691387022, 0.8358997650492866, 0.8612300609598711, 0.8865603568704555, 0.91189065278104, 0.9372209486916244, 0.9625512446022089, 0.9878815405127933, 1.0132118364233778, 1.0385421323339623, 1.0638724282445466, 1.0892027241551312, 1.1145330200657155, 1.1398633159763, 1.1651936118868844, 1.190523907797469, 1.2158542037080533, 1.2411844996186379, 1.2665147955292222, 1.2918450914398067, 1.317175387350391, 1.3425056832609756, 1.36783597917156, 1.3931662750821445, 1.4184965709927289, 1.4438268669033134, 1.4691571628138977, 1.4944874587244823, 1.5198177546350666, 1.5451480505456512, 1.5704783464562355, 1.59580864236682, 1.6211389382774044, 1.646469234187989, 1.6717995300985733, 1.6971298260091578, 1.7224601219197422, 1.7477904178303267, 1.773120713740911, 1.7984510096514956, 1.82378130556208, 1.8491116014726645, 1.8744418973832488, 1.8997721932938334, 1.9251024892044177, 1.9504327851150023, 1.9757630810255866, 2.001093376936171, 2.0264236728467555, 2.05175396875734, 2.0770842646679246, 2.102414560578509, 2.1277448564890933, 2.1530751523996776, 2.1784054483102624, 2.2037357442208467, 2.229066040131431, 2.2543963360420154, 2.2797266319526, 2.3050569278631845, 2.330387223773769, 2.355717519684353, 2.381047815594938, 2.4063781115055223, 2.4317084074161066, 2.457038703326691, 2.4823689992372757, 2.50769929514786, 2.5330295910584444]
np.testing.assert_array_equal(sss.convertAcc_to_canonical(self,input),output)
#tests that an array of input numbers in meters/yr^2 is returned in canonical units
input = u.m/(u.yr)**2*np.linspace(0,100, num=101)
output = [0.0, 1.6932256985732852e-13, 3.3864513971465704e-13, 5.079677095719855e-13, 6.772902794293141e-13, 8.466128492866425e-13, 1.015935419143971e-12, 1.1852579890012997e-12, 1.3545805588586282e-12, 1.5239031287159566e-12, 1.693225698573285e-12, 1.8625482684306138e-12, 2.031870838287942e-12, 2.2011934081452707e-12, 2.3705159780025994e-12, 2.5398385478599276e-12, 2.7091611177172563e-12, 2.8784836875745846e-12, 3.0478062574319132e-12, 3.217128827289242e-12, 3.38645139714657e-12, 3.555773967003899e-12, 3.7250965368612275e-12, 3.894419106718556e-12, 4.063741676575884e-12, 4.233064246433213e-12, 4.402386816290541e-12, 4.57170938614787e-12, 4.741031956005199e-12, 4.9103545258625266e-12, 5.079677095719855e-12, 5.248999665577184e-12, 5.418322235434513e-12, 5.587644805291841e-12, 5.756967375149169e-12, 5.926289945006498e-12, 6.0956125148638265e-12, 6.264935084721155e-12, 6.434257654578484e-12, 6.603580224435812e-12, 6.77290279429314e-12, 6.942225364150469e-12, 7.111547934007798e-12, 7.280870503865126e-12, 7.450193073722455e-12, 7.619515643579783e-12, 7.788838213437112e-12, 7.95816078329444e-12, 8.127483353151768e-12, 8.296805923009098e-12, 8.466128492866425e-12, 8.635451062723755e-12, 8.804773632581083e-12, 8.97409620243841e-12, 9.14341877229574e-12, 9.312741342153068e-12, 9.482063912010397e-12, 9.651386481867725e-12, 9.820709051725053e-12, 9.990031621582383e-12, 1.015935419143971e-11, 1.032867676129704e-11, 1.0497999331154368e-11, 1.0667321901011696e-11, 1.0836644470869025e-11, 1.1005967040726353e-11, 1.1175289610583683e-11, 1.134461218044101e-11, 1.1513934750298338e-11, 1.1683257320155668e-11, 1.1852579890012996e-11, 1.2021902459870325e-11, 1.2191225029727653e-11, 1.2360547599584981e-11, 1.252987016944231e-11, 1.2699192739299638e-11, 1.2868515309156968e-11, 1.3037837879014295e-11, 1.3207160448871623e-11, 1.3376483018728953e-11, 1.354580558858628e-11, 1.371512815844361e-11, 1.3884450728300938e-11, 1.4053773298158266e-11, 1.4223095868015595e-11, 1.4392418437872923e-11, 1.456174100773025e-11, 1.473106357758758e-11, 1.490038614744491e-11, 1.5069708717302236e-11, 1.5239031287159566e-11, 1.5408353857016895e-11, 1.5577676426874225e-11, 1.574699899673155e-11, 1.591632156658888e-11, 1.608564413644621e-11, 1.6254966706303536e-11, 1.6424289276160866e-11, 1.6593611846018195e-11, 1.676293441587552e-11, 1.693225698573285e-11]
np.testing.assert_allclose(sss.convertAcc_to_canonical(self,input),output)
def test_convertAngAcc_to_dim(self):
"""tests convertAngAcc_to_canonical with some trivial inputs,
with outputs generated via a locally run Jupyter notebook with python
"""
#tests that an array of input numbers is returned in au/yr^2
input = np.linspace(0,100,num=101)
output = u.rad/(u.yr)**2*[0.0, 39.47841760435743, 78.95683520871486, 118.4352528130723, 157.91367041742973, 197.39208802178717, 236.8705056261446, 276.348923230502, 315.82734083485946, 355.3057584392169, 394.78417604357435, 434.26259364793174, 473.7410112522892, 513.2194288566466, 552.697846461004, 592.1762640653615, 631.6546816697189, 671.1330992740764, 710.6115168784338, 750.0899344827913, 789.5683520871487, 829.046769691506, 868.5251872958635, 908.0036049002209, 947.4820225045784, 986.9604401089358, 1026.4388577132931, 1065.9172753176506, 1105.395692922008, 1144.8741105263655, 1184.352528130723, 1223.8309457350804, 1263.3093633394378, 1302.7877809437953, 1342.2661985481527, 1381.7446161525102, 1421.2230337568676, 1460.701451361225, 1500.1798689655825, 1539.65828656994, 1579.1367041742974, 1618.6151217786546, 1658.093539383012, 1697.5719569873695, 1737.050374591727, 1776.5287921960844, 1816.0072098004418, 1855.4856274047993, 1894.9640450091567, 1934.4424626135142, 1973.9208802178716, 2013.399297822229, 2052.8777154265863, 2092.356133030944, 2131.834550635301, 2171.312968239659, 2210.791385844016, 2250.2698034483738, 2289.748221052731, 2329.2266386570886, 2368.705056261446, 2408.1834738658035, 2447.6618914701608, 2487.1403090745184, 2526.6187266788756, 2566.097144283233, 2605.5755618875905, 2645.0539794919478, 2684.5323970963054, 2724.0108147006626, 2763.4892323050203, 2802.9676499093775, 2842.446067513735, 2881.9244851180924, 2921.40290272245, 2960.8813203268073, 3000.359737931165, 3039.838155535522, 3079.31657313988, 3118.794990744237, 3158.273408348595, 3197.751825952952, 3237.230243557309, 3276.708661161667, 3316.187078766024, 3355.665496370382, 3395.143913974739, 3434.6223315790967, 3474.100749183454, 3513.5791667878116, 3553.057584392169, 3592.5360019965265, 3632.0144196008837, 3671.4928372052414, 3710.9712548095986, 3750.4496724139563, 3789.9280900183135, 3829.4065076226707, 3868.8849252270284, 3908.3633428313856, 3947.8417604357433]
np.testing.assert_allclose(sss.convertAngAcc_to_dim(self,input),output)
def test_convertAngVel_to_dim(self):
"""tests convertAngVel_to_dim with some trivial inputs, with outputs generated
via a locally run Jupyter notebook with python
Input units: 1/2pi
"""
#tests that an array of input numbers from 0 to 100 is returned with units
input = np.linspace(0,100, num=101)
output = u.rad/u.yr*[0.0, 6.283185307179586, 12.566370614359172, 18.84955592153876, 25.132741228718345, 31.41592653589793, 37.69911184307752, 43.982297150257104, 50.26548245743669, 56.548667764616276, 62.83185307179586, 69.11503837897544, 75.39822368615503, 81.68140899333463, 87.96459430051421, 94.24777960769379, 100.53096491487338, 106.81415022205297, 113.09733552923255, 119.38052083641213, 125.66370614359172, 131.94689145077132, 138.23007675795088, 144.51326206513048, 150.79644737231007, 157.07963267948966, 163.36281798666926, 169.64600329384882, 175.92918860102841, 182.212373908208, 188.49555921538757, 194.77874452256717, 201.06192982974676, 207.34511513692635, 213.62830044410595, 219.9114857512855, 226.1946710584651, 232.4778563656447, 238.76104167282426, 245.04422698000386, 251.32741228718345, 257.610597594363, 263.89378290154264, 270.1769682087222, 276.46015351590177, 282.7433388230814, 289.02652413026095, 295.3097094374406, 301.59289474462014, 307.8760800517997, 314.1592653589793, 320.4424506661589, 326.7256359733385, 333.0088212805181, 339.29200658769764, 345.57519189487726, 351.85837720205683, 358.1415625092364, 364.424747816416, 370.7079331235956, 376.99111843077515, 383.27430373795477, 389.55748904513433, 395.84067435231395, 402.1238596594935, 408.4070449666731, 414.6902302738527, 420.97341558103227, 427.2566008882119, 433.53978619539146, 439.822971502571, 446.10615680975064, 452.3893421169302, 458.6725274241098, 464.9557127312894, 471.23889803846896, 477.5220833456485, 483.80526865282815, 490.0884539600077, 496.37163926718733, 502.6548245743669, 508.93800988154646, 515.221195188726, 521.5043804959057, 527.7875658030853, 534.0707511102648, 540.3539364174444, 546.637121724624, 552.9203070318035, 559.2034923389832, 565.4866776461628, 571.7698629533423, 578.0530482605219, 584.3362335677015, 590.6194188748811, 596.9026041820607, 603.1857894892403, 609.4689747964198, 615.7521601035994, 622.0353454107791, 628.3185307179587]
np.testing.assert_array_equal(sss.convertAngVel_to_dim(self,input),output)
def test_convertAngVel_to_dim(self):
"""tests convertAngVel_to_dim with some trivial inputs, with outputs generated
via a locally run Jupyter notebook with python
Input units: 1/2pi
"""
#tests that an array of input numbers from 0 to 100 is returned with units
input = np.linspace(0,100, num=101)
output = u.rad/u.yr*[0.0, 6.283185307179586, 12.566370614359172, 18.84955592153876, 25.132741228718345, 31.41592653589793, 37.69911184307752, 43.982297150257104, 50.26548245743669, 56.548667764616276, 62.83185307179586, 69.11503837897544, 75.39822368615503, 81.68140899333463, 87.96459430051421, 94.24777960769379, 100.53096491487338, 106.81415022205297, 113.09733552923255, 119.38052083641213, 125.66370614359172, 131.94689145077132, 138.23007675795088, 144.51326206513048, 150.79644737231007, 157.07963267948966, 163.36281798666926, 169.64600329384882, 175.92918860102841, 182.212373908208, 188.49555921538757, 194.77874452256717, 201.06192982974676, 207.34511513692635, 213.62830044410595, 219.9114857512855, 226.1946710584651, 232.4778563656447, 238.76104167282426, 245.04422698000386, 251.32741228718345, 257.610597594363, 263.89378290154264, 270.1769682087222, 276.46015351590177, 282.7433388230814, 289.02652413026095, 295.3097094374406, 301.59289474462014, 307.8760800517997, 314.1592653589793, 320.4424506661589, 326.7256359733385, 333.0088212805181, 339.29200658769764, 345.57519189487726, 351.85837720205683, 358.1415625092364, 364.424747816416, 370.7079331235956, 376.99111843077515, 383.27430373795477, 389.55748904513433, 395.84067435231395, 402.1238596594935, 408.4070449666731, 414.6902302738527, 420.97341558103227, 427.2566008882119, 433.53978619539146, 439.822971502571, 446.10615680975064, 452.3893421169302, 458.6725274241098, 464.9557127312894, 471.23889803846896, 477.5220833456485, 483.80526865282815, 490.0884539600077, 496.37163926718733, 502.6548245743669, 508.93800988154646, 515.221195188726, 521.5043804959057, 527.7875658030853, 534.0707511102648, 540.3539364174444, 546.637121724624, 552.9203070318035, 559.2034923389832, 565.4866776461628, 571.7698629533423, 578.0530482605219, 584.3362335677015, 590.6194188748811, 596.9026041820607, 603.1857894892403, 609.4689747964198, 615.7521601035994, 622.0353454107791, 628.3185307179587]
np.testing.assert_array_equal(sss.convertAngVel_to_dim(self,input),output)
def test_convertAcc_to_dim(self):
"""tests convertAcc_to_dim with some trivial inputs, with outputs generated
via a locally run Jupyter notebook with python """
#tests an array of input numbers from 0 to 100
input = np.linspace(0, 100, num=101)
output = u.AU/(u.yr)**2*[0.0, 39.47841760435743, 78.95683520871486, 118.4352528130723, 157.91367041742973, 197.39208802178717, 236.8705056261446, 276.348923230502, 315.82734083485946, 355.3057584392169, 394.78417604357435, 434.26259364793174, 473.7410112522892, 513.2194288566466, 552.697846461004, 592.1762640653615, 631.6546816697189, 671.1330992740764, 710.6115168784338, 750.0899344827913, 789.5683520871487, 829.046769691506, 868.5251872958635, 908.0036049002209, 947.4820225045784, 986.9604401089358, 1026.4388577132931, 1065.9172753176506, 1105.395692922008, 1144.8741105263655, 1184.352528130723, 1223.8309457350804, 1263.3093633394378, 1302.7877809437953, 1342.2661985481527, 1381.7446161525102, 1421.2230337568676, 1460.701451361225, 1500.1798689655825, 1539.65828656994, 1579.1367041742974, 1618.6151217786546, 1658.093539383012, 1697.5719569873695, 1737.050374591727, 1776.5287921960844, 1816.0072098004418, 1855.4856274047993, 1894.9640450091567, 1934.4424626135142, 1973.9208802178716, 2013.399297822229, 2052.8777154265863, 2092.356133030944, 2131.834550635301, 2171.312968239659, 2210.791385844016, 2250.2698034483738, 2289.748221052731, 2329.2266386570886, 2368.705056261446, 2408.1834738658035, 2447.6618914701608, 2487.1403090745184, 2526.6187266788756, 2566.097144283233, 2605.5755618875905, 2645.0539794919478, 2684.5323970963054, 2724.0108147006626, 2763.4892323050203, 2802.9676499093775, 2842.446067513735, 2881.9244851180924, 2921.40290272245, 2960.8813203268073, 3000.359737931165, 3039.838155535522, 3079.31657313988, 3118.794990744237, 3158.273408348595, 3197.751825952952, 3237.230243557309, 3276.708661161667, 3316.187078766024, 3355.665496370382, 3395.143913974739, 3434.6223315790967, 3474.100749183454, 3513.5791667878116, 3553.057584392169, 3592.5360019965265, 3632.0144196008837, 3671.4928372052414, 3710.9712548095986, 3750.4496724139563, 3789.9280900183135, 3829.4065076226707, 3868.8849252270284, 3908.3633428313856, 3947.8417604357433]
np.testing.assert_array_equal(sss.convertAcc_to_dim(self,input),output)
def test_unitVector(self):
"""
tests unitVector with some trivial inputs, with outputs generated via
a locally run Jupyter notebook with python
"""
#test that a simple [1,0,0] returns as itself with a norm of 1
expected = np.reshape([1,0,0],(3,1))
output = sss.unitVector(self,expected)
np.testing.assert_array_equal(output[0],expected)
np.testing.assert_array_equal(output[1],np.array([1]))
# test that [4,4,4] returns as:
# [0.5773502691896258,0.5773502691896258,0.5773502691896258]
# with norm 6.928203230275509
output = sss.unitVector(self,np.reshape([4,4,4],(3,1)))
a = 0.5773502691896258
norm = 6.928203230275509
np.testing.assert_array_equal(output[0],np.reshape([a,a,a],(3,1)))
np.testing.assert_array_equal(output[1],np.array([norm]))
# #test that [[1,0,0],[4,4,4]] returns both of the previous results
input = np.array([[1,0,0],[4,4,4]]).transpose()
output = sss.unitVector(self, input)
np.testing.assert_array_equal(output[0],np.array([[1,0,0],[a,a,a]]).transpose())
np.testing.assert_array_equal(output[1],np.array([1,norm]))
# test that input [[1,2,3],[4,5,6],[7,8,9]]
#returns the appropriate 3x3 matrix
vec1 = [1,2,3]
norm1 = np.linalg.norm(vec1)
unit1 = vec1/norm1
vec2 = [4,5,6]
norm2 = np.linalg.norm(vec2)
unit2 = vec2/norm2
vec3 = [7,8,9]
norm3 = np.linalg.norm(vec3)
unit3 = vec3/norm3
output = sss.unitVector(self,(np.array([vec1,vec2,vec3]).transpose()))
np.testing.assert_array_equal(output[0],np.array([unit1,unit2,unit3]).transpose())
np.testing.assert_array_equal(output[1],[norm1,norm2,norm3])
| 129.873469 | 2,358 | 0.799899 | 3,648 | 31,819 | 6.944079 | 0.282621 | 0.004737 | 0.012435 | 0.013422 | 0.729828 | 0.722564 | 0.719959 | 0.708393 | 0.70184 | 0.689089 | 0 | 0.715027 | 0.097112 | 31,819 | 244 | 2,359 | 130.405738 | 0.16673 | 0.088186 | 0 | 0.164835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.230769 | 1 | 0.120879 | false | 0 | 0.175824 | 0 | 0.307692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
8409ca926d9f419b9634b671f6a7ceb207b0194a | 7,181 | py | Python | transit/model.py | flowsta/transit | 173866d75b7a05f2b9a132d436a1d4a660341ba4 | [
"Apache-2.0"
] | 2 | 2017-04-21T19:52:12.000Z | 2019-09-11T11:37:21.000Z | transit/model.py | flowsta/transit | 173866d75b7a05f2b9a132d436a1d4a660341ba4 | [
"Apache-2.0"
] | 3 | 2016-01-20T01:49:46.000Z | 2019-08-30T23:43:55.000Z | transit/model.py | flowsta/transit | 173866d75b7a05f2b9a132d436a1d4a660341ba4 | [
"Apache-2.0"
] | 1 | 2019-08-30T12:32:42.000Z | 2019-08-30T12:32:42.000Z | BASE_URI = 'http://thinkingthread.com/ontologies/transit'
def schema_uri(entity):
return '{0}#{1}'.format(BASE_URI, entity)
class Stop(object):
id = None
code = None
name = None
description = None
location = None
zone_id = None
url = None
parent_station_id = None
@property
def uri(self):
return '{0}/resource/stops/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class Location(object):
id = None
latitude = None
longitude = None
@property
def uri(self):
return '{0}/resource/locations/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class Route(object):
id = None
agency_id = None
short_name = None
long_name = None
description = None
transport_type = None
url = None
# color = None
# text_color = None
@property
def uri(self):
return '{0}/resource/routes/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class TransportType(object):
@classmethod
def transport(cls, id):
uri = lambda x: '{0}#{1}'.format(BASE_URI, x)
return {
'0': uri('Tram'),
'1': uri('Metro'),
'2': uri('Rail'),
'3': uri('Bus'),
'4': uri('Ferry'),
'5': uri('CableCar'),
'6': uri('Gondola'),
'7': uri('Funicular')
}[id]
class Agency(object):
id = None
name = None
url = None
timezone = None
language = None
phone = None
@property
def uri(self):
return '{0}/resource/agencies/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class ServicePeriod(object):
pass
class Service(object):
id = None
@property
def uri(self):
return '{0}/resource/services/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class Trip(object):
id = None
route_id = None
service_id = None
headsign = None
@property
def uri(self):
return '{0}/resource/trips/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class FarePricing(object):
id = None
price = None
currency = None
payment_method = None
@property
def uri(self):
return '{0}/resource/farePricings/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class FareTransfer(object):
id = None
transfers = None
transfer_duration = None
@property
def uri(self):
return '{0}/resource/fareTransfers/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class Fare(object):
id = None
pricing = None
transfer = None
@property
def uri(self):
return '{0}/resource/fares/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class FareRule(object):
id = None
fare_id = None
class ZoneFareRule(FareRule):
zone_id = None
@property
def uri(self):
return '{0}/resource/zoneFareRules/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class RouteFareRule(FareRule):
route_id = None
@property
def uri(self):
return '{0}/resource/routeFareRules/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class ZoneCrossFareRule(FareRule):
origin_id = None
destination_id = None
@property
def uri(self):
return '{0}/resource/zoneCrossFareRules/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
class Zone(object):
id = None
@property
def uri(self):
return '{0}/resource/zones/{1}'.format(BASE_URI, self.id)
@property
def resource(self):
return '{0}#{1}'.format(BASE_URI, self.__class__.__name__)
def __eq__(self, other):
return (isinstance(other, self.__class__)
and self.__dict__ == other.__dict__)
def __ne__(self, other):
return not self.__eq__(other)
| 21.760606 | 78 | 0.605765 | 870 | 7,181 | 4.467816 | 0.11954 | 0.070234 | 0.079238 | 0.100849 | 0.739902 | 0.736043 | 0.730641 | 0.730641 | 0.664008 | 0.623874 | 0 | 0.012112 | 0.264169 | 7,181 | 329 | 79 | 21.826748 | 0.723505 | 0.004178 | 0 | 0.684685 | 0 | 0 | 0.076148 | 0.047872 | 0 | 0 | 0 | 0 | 0 | 1 | 0.243243 | false | 0.004505 | 0 | 0.238739 | 0.765766 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
840d3c5b7d6895fa1a52a2399b12863e0c350a09 | 2,548 | py | Python | test/backend/test_util/test_validation.py | bnbwebexpertise/linkr | 657bdd3b5c77b67702b9398da000e19d3f5bb875 | [
"MIT"
] | 124 | 2016-12-23T02:14:45.000Z | 2021-11-20T15:25:20.000Z | test/backend/test_util/test_validation.py | bnbwebexpertise/linkr | 657bdd3b5c77b67702b9398da000e19d3f5bb875 | [
"MIT"
] | 24 | 2017-05-29T10:15:15.000Z | 2019-05-23T13:30:58.000Z | test/backend/test_util/test_validation.py | bnbwebexpertise/linkr | 657bdd3b5c77b67702b9398da000e19d3f5bb875 | [
"MIT"
] | 19 | 2017-05-15T13:19:07.000Z | 2021-05-14T02:35:05.000Z | import linkr # flake8: noqa: F401
import util.validation
from test.backend.test_case import LinkrTestCase
class TestValidation(LinkrTestCase):
_multiprocess_can_split_ = True
def test_is_alias_valid(self):
self.assertTrue(util.validation.is_alias_valid('alias'))
self.assertTrue(util.validation.is_alias_valid('alias-alias'))
self.assertTrue(util.validation.is_alias_valid('alias_alias'))
self.assertTrue(util.validation.is_alias_valid('alias_alias01'))
self.assertFalse(util.validation.is_alias_valid('alias with spaces'))
self.assertFalse(util.validation.is_alias_valid('alias/with/unsafe/slashes'))
self.assertFalse(util.validation.is_alias_valid(''))
self.assertFalse(util.validation.is_alias_valid('a' * 33))
def test_is_alias_reserved(self):
self.assertTrue(util.validation.is_alias_reserved('linkr'))
self.assertTrue(util.validation.is_alias_reserved('LINkr'))
self.assertFalse(util.validation.is_alias_reserved('alias'))
def test_is_url_valid(self):
self.assertTrue(util.validation.is_url_valid('http://google.com'))
self.assertTrue(util.validation.is_url_valid('https://google.com'))
self.assertTrue(util.validation.is_url_valid('https://google.com:443'))
self.assertTrue(util.validation.is_url_valid('http://localhost'))
self.assertTrue(util.validation.is_url_valid('http://localhost:5000'))
self.assertFalse(util.validation.is_url_valid('google.com'))
self.assertFalse(util.validation.is_url_valid('has spaces'))
self.assertFalse(util.validation.is_url_valid('what'))
def test_is_username_valid(self):
self.assertTrue(util.validation.is_username_valid('username'))
self.assertTrue(util.validation.is_username_valid('username01'))
self.assertTrue(util.validation.is_username_valid('user-name'))
self.assertTrue(util.validation.is_username_valid('user_name'))
self.assertTrue(util.validation.is_username_valid('user_name1'))
self.assertTrue(util.validation.is_username_valid('Username01'))
self.assertTrue(util.validation.is_username_valid('USERNAME'))
self.assertTrue(util.validation.is_username_valid('USERNAME01'))
self.assertFalse(util.validation.is_username_valid(''))
self.assertFalse(util.validation.is_username_valid('%'))
self.assertFalse(util.validation.is_username_valid('adsf**^sdf'))
self.assertFalse(util.validation.is_username_valid('&&Ssdf'))
| 49 | 85 | 0.735086 | 316 | 2,548 | 5.664557 | 0.161392 | 0.250279 | 0.277095 | 0.297207 | 0.846369 | 0.841899 | 0.817318 | 0.664246 | 0.618436 | 0.449721 | 0 | 0.009968 | 0.13383 | 2,548 | 51 | 86 | 49.960784 | 0.801087 | 0.007064 | 0 | 0 | 0 | 0 | 0.12144 | 0.009889 | 0 | 0 | 0 | 0 | 0.775 | 1 | 0.1 | false | 0 | 0.075 | 0 | 0.225 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f28ee1b23ea67609d8720dcaba74ac82c0ac4dd4 | 110 | py | Python | src/sage/libs/ntl/__init__.py | bopopescu/sage | 2d495be78e0bdc7a0a635454290b27bb4f5f70f0 | [
"BSL-1.0"
] | 4 | 2020-07-17T04:49:44.000Z | 2020-07-29T06:33:51.000Z | src/sage/libs/ntl/__init__.py | Ivo-Maffei/sage | 467fbc70a08b552b3de33d9065204ee9cbfb02c7 | [
"BSL-1.0"
] | 2 | 2018-10-30T13:40:20.000Z | 2020-07-23T12:13:30.000Z | src/sage/libs/ntl/__init__.py | dimpase/sage | 468f23815ade42a2192b0a9cd378de8fdc594dcd | [
"BSL-1.0"
] | 7 | 2021-11-08T10:01:59.000Z | 2022-03-03T11:25:52.000Z | from __future__ import absolute_import
from .error import setup_NTL_error_callback
setup_NTL_error_callback()
| 27.5 | 43 | 0.890909 | 16 | 110 | 5.4375 | 0.5 | 0.183908 | 0.298851 | 0.482759 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081818 | 110 | 3 | 44 | 36.666667 | 0.861386 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
f29f0c738cccf7e294a2af3c9f539e005f775ef1 | 37,515 | py | Python | actions/actions.py | sleekmike/Twilio-Rasa-Leads-Chatbot | d0a52808f661d75a4c7fd2461811bf4ed21939c9 | [
"MIT"
] | null | null | null | actions/actions.py | sleekmike/Twilio-Rasa-Leads-Chatbot | d0a52808f661d75a4c7fd2461811bf4ed21939c9 | [
"MIT"
] | null | null | null | actions/actions.py | sleekmike/Twilio-Rasa-Leads-Chatbot | d0a52808f661d75a4c7fd2461811bf4ed21939c9 | [
"MIT"
] | null | null | null | # This files contains your custom actions which can be used to run
# custom Python code.
# See this guide on how to implement these action:
# https://rasa.com/docs/rasa/custom-actions
from rasa_sdk.events import SlotSet
from typing import Any, Text, Dict, List
from rasa_sdk import Action, Tracker
from rasa_sdk.executor import CollectingDispatcher
from rasa_sdk.events import ReminderScheduled, ReminderCancelled
import requests
from twilio.rest import Client
from twilio.rest import Client
import os
import time
import datetime
# ===========================> Appointment and Reminder <================================ #
def message_sender(agent_number, agent_name, message):
""" Sends call appointements and reminder alerts. """
account_sid = os.getenv('TWILIO_ACCOUNT_SID')
auth_token = os.getenv('TWILIO_AUTH_TOKEN')
client = Client(account_sid, auth_token)
print("agent_number :", agent_number)
print("agent_name :", agent_name)
message = client.messages.create(
messaging_service_sid=os.getenv('MESSAGING_SERVICE_SID'),
body=message,
from_=os.getenv('TWILIO_SMS_FROM'),
to=agent_number)
print(message)
def call_appointment_alert(agent, lead):
""" Alerts Human agent to call new lead immediately. """
# agent details
agent_name = agent["agent_name"]
agent_number = agent["agent_number"]
# lead details
lead_name = lead["lead_name"]
lead_number = lead["lead_number"]
message = f"Hi {agent_name}, You have a call appointment with {lead_name}, here is the lead's phone number: {lead_number}"
response = message_sender(agent_number, agent_name, message)
result = response
return result
def call_appointment_reminder(agent, lead, lead_message):
""" Alerts Human agent about the new lead's call appointment and includes the leads original appointment message. """
# agent details
agent_name = agent["agent_name"]
agent_number = agent["agent_number"]
# lead details
lead_name = lead["lead_name"]
lead_number = lead["lead_number"]
message = f"Hi {agent_name}, You a have call appointment with {lead_name}, here is the lead's phone number: {lead_number}, here is the appointment message: '{lead_message}'"
response = message_sender(agent_number, agent_name, message)
result = response
return result
# ===================================> First SMS <================================ #
def first_message_sender(lead_number, lead_name):
""" Sends first engagemt SMS to new Lead. """
account_sid = os.getenv('TWILIO_ACCOUNT_SID')
auth_token = os.getenv('TWILIO_AUTH_TOKEN')
client = Client(account_sid, auth_token)
print("new lead number: ", lead_number)
print("new lead name: ", lead_name)
#first_message = 'Hi John! Alex here with Social Security Disability Helpers. We just received your inquiry online. Would you prefer to chat via text message or should I give you a quick call so that I can assist you?'
first_message = f'Hi {lead_name}! Alex here with Social Security Disability Helpers. We just received your inquiry online. Would you prefer to chat via text message or should I give you a quick call so that I can assist you?'
message = client.messages.create(
messaging_service_sid=os.getenv('MESSAGING_SERVICE_SID'),
body=first_message,
from_=os.getenv('TWILIO_SMS_FROM'),
to=lead_number)
print(message)
return "message sent"
class FirstMessage(Action):
""" Sends first engagemt SMS to new Lead. """
def name(self) -> Text:
return "first_SMS"
def run(self, dispatcher: CollectingDispatcher, tracker: Tracker,
domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
lead_number = entities[0]["value"]
print("new lead number: ", lead_number)
lead_name = entities[1]["value"]
print("new lead name: ", lead_name)
first_message_sender(lead_number, lead_name)
print("first engagement SMS sent!!!")
try:
lead_name_slot = tracker.get_slot('lead_name')
lead_number_slot = tracker.get_slot('lead_number')
print("lead_name_slot: ", lead_name_slot)
print("lead_number_slot: ", lead_number_slot)
except exception as e:
print("slot get error: ", e)
# Reminder for 30 minutes later if no response from the lead
date = datetime.datetime.now() + datetime.timedelta(minutes=10)
print("first SMS - current time: ", datetime.datetime.now())
print("first SMS reminder - count down to: ", date)
reminder = ReminderScheduled(
"first_reminder",
trigger_date_time=date,
entities=entities,
name="first_reminder",
kill_on_user_message=True,
)
#dispatcher.utter_message("second trigger_SMS called")
return [reminder]
# ===========================> First SMS Follow up <================================ #
def first_SMS_follow_up(lead, msg):
""" Sends first SMS follow up messages to new Lead. """
account_sid = os.getenv('TWILIO_ACCOUNT_SID')
auth_token = os.getenv('TWILIO_AUTH_TOKEN')
client = Client(account_sid, auth_token)
# follow up messages for first engagement SMS based on time.
messages = {
"first_message":
"Just a quick follow up here. Are you still interested in speaking with an attorney?",
"next_morning":
"Would you prefer to chat via text message or should I give you a quick call about your social security disability issue?",
"afternoon":
"I’d love to learn a little more about your SSD issue. Are you still interested in speaking with an attorney?",
"two_days":
"Hi[first name]! I don’t mean pester you so this will be my last text. Did you still want to chat with an attorney about seeing if you qualify for SSD benefits?"
}
if msg in messages.keys():
the_msg = messages[msg]
# sending SMS via Twilio
message = client.messages.create(
messaging_service_sid=os.getenv('MESSAGING_SERVICE_SID'),
body=the_msg,
from_=os.getenv('TWILIO_SMS_FROM'),
to=lead)
class FirstMessageFollowUp(Action):
""" Triggered by a reminder event if the lead has not responded to first SMS in 30 min"""
def name(self) -> Text:
return "first_SMS_follow_up"
def run(self, dispatcher: CollectingDispatcher, tracker: Tracker,
domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
entities = tracker.latest_message["entities"]
#dispatcher.utter_message(f"Your entities: {entities}")
print("full entities: ", entities)
lead = entities[0]["value"]
print("new lead: ", lead)
#follow_up_msg = entities[1]["value"]
first_SMS_follow_up(lead=lead, msg="first_message")
print("first follow up SMS sent!!!")
try:
lead_name_slot = tracker.get_slot('lead_name')
lead_number_slot = tracker.get_slot('lead_number')
print("lead_name_slot: ", lead_name_slot)
print("lead_number_slot: ", lead_number_slot)
except exception as e:
print("slot get error: ", e)
# Reminder for next morning, if no response from the lead
date = datetime.datetime.now() + datetime.timedelta(minutes=30)
print("next morning SMS reminder current time: ",
datetime.datetime.now())
print("next morning reminder - count down to: ", date)
reminder = ReminderScheduled(
"next_morning_reminder",
trigger_date_time=date,
entities=entities,
name="next_morning",
kill_on_user_message=True,
)
return [reminder]
class SecondMessageFollowUp(Action):
""" Triggered by a reminder event if the lead has not responded to first SMS in 1 day"""
def name(self) -> Text:
return "second_SMS_follow_up"
def run(self, dispatcher: CollectingDispatcher, tracker: Tracker,
domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
lead = entities[0]["value"]
print("new lead: ", lead)
first_SMS_follow_up(lead=lead, msg="next_morning")
print("Second follow up SMS sent!!!")
try:
lead_name_slot = tracker.get_slot('lead_name')
lead_number_slot = tracker.get_slot('lead_number')
print("lead_name_slot: ", lead_name_slot)
print("lead_number_slot: ", lead_number_slot)
except exception as e:
print("slot get error: ", e)
# Reminder for next morning, if no response from the lead
date = datetime.datetime.now() + datetime.timedelta(minutes=10)
print("next morning(second) SMS reminder current time: ",
datetime.datetime.now())
print("afternoon reminder(third) - count down to: ", date)
reminder = ReminderScheduled(
"afternoon_reminder",
trigger_date_time=date,
entities=entities,
name="afternoon_reminder",
kill_on_user_message=True,
)
return [reminder]
class ThirdMessageFollowUp(Action):
""" Triggered by a reminder event if the lead has not responded to first SMS in 1 day """
def name(self) -> Text:
return "third_SMS_follow_up"
def run(self, dispatcher: CollectingDispatcher, tracker: Tracker,
domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
lead = entities[0]["value"]
print("new lead: ", lead)
first_SMS_follow_up(lead=lead, msg="afternoon")
print("third follow up SMS sent!!!")
# Reminder for next morning, if no response from the lead
date = datetime.datetime.now() + datetime.timedelta(minutes=10)
print("afternoon SMS reminder(third) current time: ",
datetime.datetime.now())
print("two days - count down to: ", date)
reminder = ReminderScheduled(
"two_days_reminder",
trigger_date_time=date,
entities=entities,
name="two_days_reminder",
kill_on_user_message=True,
)
return [reminder]
class FourthMessageFollowUp(Action):
""" Triggered by a reminder event if the lead has not responded to first SMS in 2days. """
def name(self) -> Text:
return "fourth_SMS_follow_up"
def run(self, dispatcher: CollectingDispatcher, tracker: Tracker,
domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
entities = tracker.latest_message["entities"]
#dispatcher.utter_message(f"Your entities: {entities}")
print("full entities: ", entities)
lead = entities[0]["value"]
print("new lead: ", lead)
first_SMS_follow_up(lead=lead, msg="two_days")
print("Fourth follow up SMS sent!!!")
# Reminder for next morning, if no response from the lead
date = datetime.datetime.now() + datetime.timedelta(minutes=10)
print("fourth SMS current time (2 days): ", datetime.datetime.now())
return []
# ===========================> Other SMS Follow up <================================ #
def other_SMS_follow_up(lead, msg):
""" Triggered by a reminder event if the lead does not respond during the conversation conversation """
# oncoreleads
account_sid = os.getenv('TWILIO_ACCOUNT_SID')
auth_token = os.getenv('TWILIO_AUTH_TOKEN')
client = Client(account_sid, auth_token)
# follow up messages for other SMS based on time.
messages = {"one": "Are you still there?", "two": "Still interested?"}
if msg in messages.keys():
the_msg = messages[msg]
# sending SMS via Twilio
message = client.messages.create(
messaging_service_sid=os.getenv('MESSAGING_SERVICE_SID'),
body=the_msg,
from_=os.getenv('TWILIO_SMS_FROM'),
to=lead)
print(message)
class OtherMessageFollowUp(Action):
""" Triggered by a reminder event if the lead does not respond during the conversation conversation """
def name(self) -> Text:
return "other_SMS_follow_up"
def run(self, dispatcher: CollectingDispatcher, tracker: Tracker,
domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
entities = tracker.latest_message["entities"]
#dispatcher.utter_message(f"Your entities: {entities}")
print(" OtherMessageFollowUp entities: ", entities)
#"one": "Are you still there?",
msg = "Still interested?"
dispatcher.utter_message(text=msg)
return []
# ===========================> Second SMS (Text Route/Option)<================================ #
class SecondMessageTrigger(Action):
""" Sends attorney enquiry."""
def name(self) -> Text:
return "delay_second_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
# This adds some delay to bots response
cpm = 200
# Second_SMS
SMS = 'No problem, texting works. Are you currently working with an attorney to help you?'
period = 60 * len(SMS) / cpm
print("second_SMS typing time: ", period)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
date = datetime.datetime.now() + datetime.timedelta(seconds=period)
print("second trigger_SMS - count down to: ", date)
# user message
user_message = tracker.latest_message['text']
print("user_message: ", user_message)
user_intent = tracker.latest_message['intent'].get('name')
print("user_intent: ", user_intent)
# DELAY
reminder = ReminderScheduled(
"second_trigger",
trigger_date_time=date,
entities=entities,
name="second_trigger",
kill_on_user_message=False,
)
return [reminder]
class SecondBotReponse(Action):
""" has from an attorney ."""
def name(self) -> Text:
return "second_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
conversation_id = tracker.sender_id
print("conversation_id: ", conversation_id)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
user_intent = tracker.latest_message['intent'].get('name')
print("second user_intent: ", user_intent)
dates = datetime.datetime.now()
print("second response time: ", dates)
SMS = 'No problem, texting works. Are you currently working with an attorney to help you?'
dispatcher.utter_message(f"{SMS}")
# Stall out Reminder
date = datetime.datetime.now() + datetime.timedelta(minutes=10)
print("Stall out Reminder current time: ", datetime.datetime.now())
print("Stall out Reminder down to: ", date)
try:
lead_name_slot = tracker.get_slot('lead_name')
lead_number_slot = tracker.get_slot('lead_number')
print("lead_name_slot: ", lead_name_slot)
print("lead_number_slot: ", lead_number_slot)
except exception as e:
print("slot get error: ", e)
reminder = ReminderScheduled(
"stall_out_reminder",
trigger_date_time=date,
entities=entities,
name="stall_out_reminder",
kill_on_user_message=True,
)
return [reminder]
# ===========================> Third SMS (Text Route/Option)<================================ #
class ThirdMessageTrigger(Action):
""" Treatment from doctor enquiry ."""
def name(self) -> Text:
return "delay_third_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
# This adds some delay to bots response
cpm = 200
# third_SMS
SMS = 'Got it! Just one more question. Are you currently receiving treatment from a Doctor?'
period = 60 * len(SMS) / cpm
print("third_SMS typing time: ", period)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
date = datetime.datetime.now() + datetime.timedelta(seconds=period)
print("third trigger_SMS - count down to: ", date)
# user message
user_message = tracker.latest_message['text']
print("user_message: ", user_message)
user_intent = tracker.latest_message['intent'].get('name')
print("user_intent: ", user_intent)
# setting reminder
reminder = ReminderScheduled(
"third_trigger",
trigger_date_time=date,
entities=entities,
name="third_trigger",
kill_on_user_message=False,
)
return [reminder]
class ThirdBotReponse(Action):
""" Treatment from doctor enquiry ."""
def name(self) -> Text:
return "third_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
#name = next(tracker.get_slot("PERSON"), "someone")
conversation_id = tracker.sender_id
print("conversation_id: ", conversation_id)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
user_intent = tracker.latest_message['intent'].get('name')
print("third user_intent: ", user_intent)
dates = datetime.datetime.now()
print("third response time: ", dates)
#SMS = 'Got it! Just one more question. Are you currently receiving treatment from a Doctor?'
SMS = 'Got it! Just one more question. Are you currently receiving treatment from a Doctor?'
dispatcher.utter_message(f"{SMS}")
# Stall out Reminder
date = datetime.datetime.now() + datetime.timedelta(minutes=10)
print("Stall out Reminder current time: ", datetime.datetime.now())
print("Stall out Reminder down to: ", date)
reminder = ReminderScheduled(
"stall_out_reminder",
trigger_date_time=date,
entities=entities,
name="stall_out_reminder",
kill_on_user_message=True,
)
#dispatcher.utter_message("second trigger_SMS called")
return [reminder]
# ===========================> Fourth SMS (Text Route/Option)<================================ #
class FourthMessageTrigger(Action):
""" stops conversation ."""
def name(self) -> Text:
return "delay_fourth_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
# This adds some delay to bots response
cpm = 200
# Second_SMS
SMS = 'I am sorry but we can only help people who are not working with an attorney already. I wish you the best of luck.'
period = 60 * len(SMS) / cpm
print("forth_SMS typing time: ", period)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
date = datetime.datetime.now() + datetime.timedelta(seconds=period)
print("forth_SMS trigger_SMS - count down to: ", date)
# user message
user_message = tracker.latest_message['text']
print("user_message: ", user_message)
user_intent = tracker.latest_message['intent'].get('name')
print("user_intent: ", user_intent)
# setting reminder
reminder = ReminderScheduled(
"fourth_trigger",
trigger_date_time=date,
entities=entities,
name="fourth_trigger",
kill_on_user_message=False,
)
return [reminder]
class FourthBotReponse(Action):
""" stops conversation ."""
def name(self) -> Text:
return "fourth_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
#name = next(tracker.get_slot("PERSON"), "someone")
conversation_id = tracker.sender_id
print("conversation_id: ", conversation_id)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
user_intent = tracker.latest_message['intent'].get('name')
print("fourth user_intent: ", user_intent)
dates = datetime.datetime.now()
print("fourth response time: ", dates)
SMS = 'I am sorry but we can only help people who are not working with an attorney already. I wish you the best of luck.'
dispatcher.utter_message(f"{SMS}")
return []
# ===========================> Fifth SMS (Text Route/Option)<================================ #
class FifthMessageTrigger(Action):
""" Call enquiry"""
def name(self) -> Text:
return "delay_fifth_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
# This adds some delay to bots response
cpm = 200
# fifth_SMS
SMS = 'Great. I have a few questions to see if you qualify for SSD benefits. Is now a good time for a call?'
period = 60 * len(SMS) / cpm
print("fifth second_SMS typing time: ", period)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
date = datetime.datetime.now() + datetime.timedelta(seconds=period)
print("fifth trigger_SMS - count down to: ", date)
# user message
user_message = tracker.latest_message['text']
print("user_message: ", user_message)
user_intent = tracker.latest_message['intent'].get('name')
print("user_intent: ", user_intent)
reminder = ReminderScheduled(
"fifth_trigger",
trigger_date_time=date,
entities=entities,
name="fifth_trigger",
kill_on_user_message=False,
)
return [reminder]
class FifthBotReponse(Action):
""" Call enquiry"""
def name(self) -> Text:
return "fifth_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
#name = next(tracker.get_slot("PERSON"), "someone")
conversation_id = tracker.sender_id
print("conversation_id: ", conversation_id)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
user_intent = tracker.latest_message['intent'].get('name')
print("fifth user_intent: ", user_intent)
dates = datetime.datetime.now()
print("fifth response time: ", dates)
SMS = 'Great. I have a few questions to see if you qualify for SSD benefits. Is now a good time for a call?'
dispatcher.utter_message(f"{SMS}")
# Stall out Reminder
date = datetime.datetime.now() + datetime.timedelta(minutes=10)
print("Stall out Reminder current time: ", datetime.datetime.now())
print("Stall out Reminder down to: ", date)
reminder = ReminderScheduled(
"stall_out_reminder",
trigger_date_time=date,
entities=entities,
name="stall_out_reminder",
kill_on_user_message=True,
)
return [reminder]
# ===========================> Sixth SMS (Text Route/Option) <================================ #
class SixthMessageTrigger(Action):
""" Stops Conversation (lead has doctor) """
def name(self) -> Text:
return "delay_sixth_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
# This adds some delay to bots response
cpm = 200
# Sixth_SMS
SMS = 'I am sorry but we can only help people who are currently receiving treatment from a doctor. I wish you the best of luck.'
period = 60 * len(SMS) / cpm
print("sixth SMS typing time: ", period)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
date = datetime.datetime.now() + datetime.timedelta(seconds=period)
print("sixth trigger_SMS - count down to: ", date)
# user message
user_message = tracker.latest_message['text']
print("user_message: ", user_message)
user_intent = tracker.latest_message['intent'].get('name')
print("user_intent: ", user_intent)
reminder = ReminderScheduled(
"sixth_trigger",
trigger_date_time=date,
entities=entities,
name="sixth_trigger",
kill_on_user_message=False,
)
return [reminder]
class SixthBotReponse(Action):
""" Stops Conversation (lead has doctor) """
def name(self) -> Text:
return "sixth_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
#name = next(tracker.get_slot("PERSON"), "someone")
conversation_id = tracker.sender_id
print("conversation_id: ", conversation_id)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
user_intent = tracker.latest_message['intent'].get('name')
print("sixth user_intent: ", user_intent)
dates = datetime.datetime.now()
print("sixth response time: ", dates)
SMS = 'I am sorry but we can only help people who are currently receiving treatment from a doctor. I wish you the best of luck.'
dispatcher.utter_message(f"{SMS}")
return []
# ===========================> Seventh SMS (Text Route/Option)<================================ #
class SeventhMessageTrigger(Action):
"""Schedules a call and alerts human agent """
def name(self) -> Text:
return "delay_seventh_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
# This adds some delay to bots response
cpm = 200
# Seventh_SMS
SMS = 'Ok great! We will give you a call within a few minutes.'
period = 60 * len(SMS) / cpm
print("seventh_SMS typing time: ", period)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
date = datetime.datetime.now() + datetime.timedelta(seconds=period)
print("seventh trigger_SMS - count down to: ", date)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
try:
lead_name_slot = tracker.get_slot('lead_name')
lead_number_slot = tracker.get_slot('lead_number')
print("lead_name_slot: ", lead_name_slot)
print("lead_number_slot: ", lead_number_slot)
except exception as e:
print("slot get error: ", e)
# user message
user_message = tracker.latest_message['text']
print("user_message: ", user_message)
user_intent = tracker.latest_message['intent'].get('name')
print("user_intent: ", user_intent)
reminder = ReminderScheduled(
"seventh_trigger",
trigger_date_time=date,
entities=entities,
name="seventh_trigger",
kill_on_user_message=False,
)
return [reminder]
class SeventhBotReponse(Action):
""" Schedules a call and alerts human agent """
def name(self) -> Text:
return "seventh_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
#name = next(tracker.get_slot("PERSON"), "someone")
conversation_id = tracker.sender_id
print("conversation_id: ", conversation_id)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
user_intent = tracker.latest_message['intent'].get('name')
print("seventh user_intent: ", user_intent)
dates = datetime.datetime.now()
print("seventh response time: ", dates)
SMS = 'Ok great! We will give you a call within a few minutes.'
dispatcher.utter_message(f"{SMS}")
# getting lead details from slots
try:
lead_name_slot = tracker.get_slot('lead_name')
lead_number_slot = tracker.get_slot('lead_number')
print("lead_name_slot: ", lead_name_slot)
print("lead_number_slot: ", lead_number_slot)
#print("full trackerstore: ", tracker.latest_message)
except exception as e:
print("slot get error: ", e)
# sending a human agent an SMS alert for immediate call
try:
agent = {"agent_name": " ", "agent_number": " "}
lead = {
"lead_name": lead_name_slot,
"lead_number": lead_number_slot
}
result = call_appointment_alert(agent, lead)
print("call_appointment_alert response: ", result)
except Exception as e:
print("call_appointment_alert, error: ", e)
else:
print("call appointment alert successful!!!")
return []
# ===========================> Eighth SMS (Text Route/Option)<================================ #
class EighthMessageTrigger(Action):
"""Schedules a reminder, supplied with the last message's entities."""
def name(self) -> Text:
return "delay_eighth_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
# This adds some delay to bots response
cpm = 200
# Second_SMS
SMS = 'I understand. When is a good time for us to call you about your case?'
period = 60 * len(SMS) / cpm
print("eighth_SMS typing time: ", period)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
date = datetime.datetime.now() + datetime.timedelta(seconds=period)
print("eighth trigger_SMS - count down to: ", date)
# user message
user_message = tracker.latest_message['text']
print("user_message: ", user_message)
user_intent = tracker.latest_message['intent'].get('name')
print("user_intent: ", user_intent)
#
reminder = ReminderScheduled(
"eighth_trigger",
trigger_date_time=date,
entities=entities,
name="eighth_trigger",
kill_on_user_message=False,
)
return [reminder]
class EighthBotReponse(Action):
"""Reminds the user to call someone."""
def name(self) -> Text:
return "eighth_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
#name = next(tracker.get_slot("PERSON"), "someone")
conversation_id = tracker.sender_id
print("conversation_id: ", conversation_id)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
user_intent = tracker.latest_message['intent'].get('name')
print("eighth user_intent: ", user_intent)
dates = datetime.datetime.now()
print("eighth response time: ", dates)
SMS = 'I understand. When is a good time for us to call you about your case?'
dispatcher.utter_message(f"{SMS}")
return []
# ===========================> CALL APPOINTMENT <================================ #
class CallScheduler(Action):
""" Setting a Call Appointment with the agent"""
def name(self) -> Text:
return "action_call_schedule"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
conversation_id = tracker.sender_id
print("conversation_id: ", conversation_id)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
user_intent = tracker.latest_message['intent'].get('name')
print("call AP user_intent: ", user_intent)
SMS = 'Ok great! We will give you a call'
dispatcher.utter_message(f"{SMS}")
try:
lead_name_slot = tracker.get_slot('lead_name')
lead_number_slot = tracker.get_slot('lead_number')
except exception as e:
print("slot get error: ", e)
# sending a human agent an SMS alert for immediate call
try:
agent = {
"agent_name": "John Anderson",
"agent_number": "+19167671669"
}
lead = {
"lead_name": lead_name_slot,
"lead_number": lead_number_slot
}
#result = call_appointment_alert(agent, lead)
lead_message = tracker.latest_message.get('text')
print("lead_message(appointement): ", lead_message)
result = call_appointment_reminder(agent, lead, lead_message)
print("call_appointment_reminder: ", result)
except Exception as e:
print("call_appointment_alert, error: ", e)
else:
print("call appointment alert successful!!!")
return []
# ===========================> CALL (Call Route/Option)<================================ #
class CallMessageTrigger(Action):
""" Leads chooses call option"""
def name(self) -> Text:
return "delay_call_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
# This adds some delay to bots response
cpm = 200
SMS = 'Ok great! We will give you a call'
period = 60 * len(SMS) / cpm
print("call_SMS typing time: ", period)
date = datetime.datetime.now() + datetime.timedelta(seconds=period)
print("call trigger_SMS - count down to: ", date)
entities = tracker.latest_message["entities"]
print("full entities: ", entities)
try:
lead_name_slot = tracker.get_slot('lead_name')
lead_number_slot = tracker.get_slot('lead_number')
print("lead_name_slot: ", lead_name_slot)
print("lead_number_slot: ", lead_number_slot)
except exception as e:
print("slot get error: ", e)
# user message
user_message = tracker.latest_message['text']
print("user_message: ", user_message)
user_intent = tracker.latest_message['intent'].get('name')
print("user_intent: ", user_intent)
reminder = ReminderScheduled(
"call_trigger",
trigger_date_time=date,
entities=entities,
name="call_trigger",
kill_on_user_message=False,
)
return [reminder]
class CallReponse(Action):
"""Reminds the user to call someone."""
def name(self) -> Text:
return "call_SMS"
async def run(
self,
dispatcher: CollectingDispatcher,
tracker: Tracker,
domain: Dict[Text, Any],
) -> List[Dict[Text, Any]]:
conversation_id = tracker.sender_id
print("conversation_id: ", conversation_id)
user_intent = tracker.latest_message['intent'].get('name')
print("call user_intent: ", user_intent)
dates = datetime.datetime.now()
print("call response time: ", dates)
SMS = 'Ok great! We will give you a call'
dispatcher.utter_message(f"{SMS}")
# getting lead details from slots
try:
lead_name_slot = tracker.get_slot('lead_name')
lead_number_slot = tracker.get_slot('lead_number')
print("lead_name_slot: ", lead_name_slot)
print("lead_number_slot: ", lead_number_slot)
except exception as e:
print("slot get error: ", e)
# sending a human agent an SMS alert for immediate call
try:
agent = {"agent_name": "", "agent_number": ""}
lead = {
"lead_name": lead_name_slot,
"lead_number": lead_number_slot
}
result = call_appointment_alert(agent, lead)
print("call_appointment_alert response: ", result)
except Exception as e:
print("call_appointment_alert, error: ", e)
else:
print("call appointment alert successful!!!")
return [] | 38.556012 | 229 | 0.60925 | 4,286 | 37,515 | 5.168922 | 0.074195 | 0.0195 | 0.045139 | 0.015573 | 0.871761 | 0.851584 | 0.828789 | 0.805453 | 0.758509 | 0.710933 | 0 | 0.002982 | 0.267067 | 37,515 | 973 | 230 | 38.556012 | 0.802735 | 0.135599 | 0 | 0.745989 | 0 | 0.016043 | 0.232549 | 0.008426 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046791 | false | 0 | 0.014706 | 0.030749 | 0.157754 | 0.199198 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4b31b113dde31949ad0e0e442e27de382c742032 | 26,495 | py | Python | metacore_api_python_cli/api/device_types_api.py | metacore-io/metacore-api-client-python | 37d6127442e7a56deeedb88bf50b83e5d24fa7b0 | [
"MIT"
] | null | null | null | metacore_api_python_cli/api/device_types_api.py | metacore-io/metacore-api-client-python | 37d6127442e7a56deeedb88bf50b83e5d24fa7b0 | [
"MIT"
] | null | null | null | metacore_api_python_cli/api/device_types_api.py | metacore-io/metacore-api-client-python | 37d6127442e7a56deeedb88bf50b83e5d24fa7b0 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Metacore IoT Object Storage API
Metacore Object Storage - IOT Core Services # noqa: E501
OpenAPI spec version: 1.1
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 metacore_api_python_cli.api_client import ApiClient
class DeviceTypesApi(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 deletedevice_types_item(self, device_types_id, if_match, **kwargs): # noqa: E501
"""Deletes a device-types document # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.deletedevice_types_item(device_types_id, if_match, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_types_id: (required)
:param str if_match: Current value of the _etag field (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.deletedevice_types_item_with_http_info(device_types_id, if_match, **kwargs) # noqa: E501
else:
(data) = self.deletedevice_types_item_with_http_info(device_types_id, if_match, **kwargs) # noqa: E501
return data
def deletedevice_types_item_with_http_info(self, device_types_id, if_match, **kwargs): # noqa: E501
"""Deletes a device-types document # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.deletedevice_types_item_with_http_info(device_types_id, if_match, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_types_id: (required)
:param str if_match: Current value of the _etag field (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['device_types_id', 'if_match'] # 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 deletedevice_types_item" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'device_types_id' is set
if ('device_types_id' not in params or
params['device_types_id'] is None):
raise ValueError("Missing the required parameter `device_types_id` when calling `deletedevice_types_item`") # noqa: E501
# verify the required parameter 'if_match' is set
if ('if_match' not in params or
params['if_match'] is None):
raise ValueError("Missing the required parameter `if_match` when calling `deletedevice_types_item`") # noqa: E501
collection_formats = {}
path_params = {}
if 'device_types_id' in params:
path_params['device-typesId'] = params['device_types_id'] # noqa: E501
query_params = []
header_params = {}
if 'if_match' in params:
header_params['If-Match'] = params['if_match'] # 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 = ['api_key'] # noqa: E501
return self.api_client.call_api(
'/device_types/{device-typesId}', '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 getdevice_types(self, **kwargs): # noqa: E501
"""Retrieves one or more device_types # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.getdevice_types(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str where: the filters query parameter (ex.: {\"number\": 10})
:param str sort: the sort query parameter (ex.: \"city,-lastname\")
:param int page: the pages query parameter
:param int max_results: the max results query parameter
:return: InlineResponse200
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.getdevice_types_with_http_info(**kwargs) # noqa: E501
else:
(data) = self.getdevice_types_with_http_info(**kwargs) # noqa: E501
return data
def getdevice_types_with_http_info(self, **kwargs): # noqa: E501
"""Retrieves one or more device_types # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.getdevice_types_with_http_info(async_req=True)
>>> result = thread.get()
:param async_req bool
:param str where: the filters query parameter (ex.: {\"number\": 10})
:param str sort: the sort query parameter (ex.: \"city,-lastname\")
:param int page: the pages query parameter
:param int max_results: the max results query parameter
:return: InlineResponse200
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['where', 'sort', 'page', 'max_results'] # 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 getdevice_types" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'where' in params:
query_params.append(('where', params['where'])) # noqa: E501
if 'sort' in params:
query_params.append(('sort', params['sort'])) # noqa: E501
if 'page' in params:
query_params.append(('page', params['page'])) # noqa: E501
if 'max_results' in params:
query_params.append(('max_results', params['max_results'])) # noqa: E501
header_params = {}
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 = ['api_key'] # noqa: E501
return self.api_client.call_api(
'/device_types', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='InlineResponse200', # 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 getdevice_types_item(self, device_types_id, **kwargs): # noqa: E501
"""Retrieves a device-types document # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.getdevice_types_item(device_types_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_types_id: (required)
:return: DeviceTypes
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.getdevice_types_item_with_http_info(device_types_id, **kwargs) # noqa: E501
else:
(data) = self.getdevice_types_item_with_http_info(device_types_id, **kwargs) # noqa: E501
return data
def getdevice_types_item_with_http_info(self, device_types_id, **kwargs): # noqa: E501
"""Retrieves a device-types document # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.getdevice_types_item_with_http_info(device_types_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str device_types_id: (required)
:return: DeviceTypes
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['device_types_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 getdevice_types_item" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'device_types_id' is set
if ('device_types_id' not in params or
params['device_types_id'] is None):
raise ValueError("Missing the required parameter `device_types_id` when calling `getdevice_types_item`") # noqa: E501
collection_formats = {}
path_params = {}
if 'device_types_id' in params:
path_params['device-typesId'] = params['device_types_id'] # noqa: E501
query_params = []
header_params = {}
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 = ['api_key'] # noqa: E501
return self.api_client.call_api(
'/device_types/{device-typesId}', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DeviceTypes', # 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 patchdevice_types_item(self, body, if_match, device_types_id, **kwargs): # noqa: E501
"""Updates a device-types document # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patchdevice_types_item(body, if_match, device_types_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DeviceTypes body: A device-types or list of device-types documents (required)
:param str if_match: Current value of the _etag field (required)
:param str device_types_id: (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.patchdevice_types_item_with_http_info(body, if_match, device_types_id, **kwargs) # noqa: E501
else:
(data) = self.patchdevice_types_item_with_http_info(body, if_match, device_types_id, **kwargs) # noqa: E501
return data
def patchdevice_types_item_with_http_info(self, body, if_match, device_types_id, **kwargs): # noqa: E501
"""Updates a device-types document # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patchdevice_types_item_with_http_info(body, if_match, device_types_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DeviceTypes body: A device-types or list of device-types documents (required)
:param str if_match: Current value of the _etag field (required)
:param str device_types_id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body', 'if_match', 'device_types_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 patchdevice_types_item" % 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 `patchdevice_types_item`") # noqa: E501
# verify the required parameter 'if_match' is set
if ('if_match' not in params or
params['if_match'] is None):
raise ValueError("Missing the required parameter `if_match` when calling `patchdevice_types_item`") # noqa: E501
# verify the required parameter 'device_types_id' is set
if ('device_types_id' not in params or
params['device_types_id'] is None):
raise ValueError("Missing the required parameter `device_types_id` when calling `patchdevice_types_item`") # noqa: E501
collection_formats = {}
path_params = {}
if 'device_types_id' in params:
path_params['device-typesId'] = params['device_types_id'] # noqa: E501
query_params = []
header_params = {}
if 'if_match' in params:
header_params['If-Match'] = params['if_match'] # 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 = ['api_key'] # noqa: E501
return self.api_client.call_api(
'/device_types/{device-typesId}', 'PATCH',
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 postdevice_types(self, body, **kwargs): # noqa: E501
"""Stores one or more device_types. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.postdevice_types(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DeviceTypes body: A device-types or list of device-types documents (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.postdevice_types_with_http_info(body, **kwargs) # noqa: E501
else:
(data) = self.postdevice_types_with_http_info(body, **kwargs) # noqa: E501
return data
def postdevice_types_with_http_info(self, body, **kwargs): # noqa: E501
"""Stores one or more device_types. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.postdevice_types_with_http_info(body, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DeviceTypes body: A device-types or list of device-types documents (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body'] # 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 postdevice_types" % 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 `postdevice_types`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
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 = ['api_key'] # noqa: E501
return self.api_client.call_api(
'/device_types', 'POST',
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 putdevice_types_item(self, body, if_match, device_types_id, **kwargs): # noqa: E501
"""Replaces a device-types document # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.putdevice_types_item(body, if_match, device_types_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DeviceTypes body: A device-types or list of device-types documents (required)
:param str if_match: Current value of the _etag field (required)
:param str device_types_id: (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.putdevice_types_item_with_http_info(body, if_match, device_types_id, **kwargs) # noqa: E501
else:
(data) = self.putdevice_types_item_with_http_info(body, if_match, device_types_id, **kwargs) # noqa: E501
return data
def putdevice_types_item_with_http_info(self, body, if_match, device_types_id, **kwargs): # noqa: E501
"""Replaces a device-types document # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.putdevice_types_item_with_http_info(body, if_match, device_types_id, async_req=True)
>>> result = thread.get()
:param async_req bool
:param DeviceTypes body: A device-types or list of device-types documents (required)
:param str if_match: Current value of the _etag field (required)
:param str device_types_id: (required)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['body', 'if_match', 'device_types_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 putdevice_types_item" % 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 `putdevice_types_item`") # noqa: E501
# verify the required parameter 'if_match' is set
if ('if_match' not in params or
params['if_match'] is None):
raise ValueError("Missing the required parameter `if_match` when calling `putdevice_types_item`") # noqa: E501
# verify the required parameter 'device_types_id' is set
if ('device_types_id' not in params or
params['device_types_id'] is None):
raise ValueError("Missing the required parameter `device_types_id` when calling `putdevice_types_item`") # noqa: E501
collection_formats = {}
path_params = {}
if 'device_types_id' in params:
path_params['device-typesId'] = params['device_types_id'] # noqa: E501
query_params = []
header_params = {}
if 'if_match' in params:
header_params['If-Match'] = params['if_match'] # 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 = ['api_key'] # noqa: E501
return self.api_client.call_api(
'/device_types/{device-typesId}', 'PUT',
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)
| 40.636503 | 133 | 0.616947 | 3,133 | 26,495 | 4.951484 | 0.059687 | 0.063817 | 0.05028 | 0.027848 | 0.950558 | 0.940373 | 0.929285 | 0.92155 | 0.916457 | 0.90711 | 0 | 0.015198 | 0.292244 | 26,495 | 651 | 134 | 40.698925 | 0.812073 | 0.324137 | 0 | 0.788732 | 1 | 0 | 0.201073 | 0.046471 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03662 | false | 0 | 0.011268 | 0 | 0.101408 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
4b88e16a49df59eb7ee7d0111ba8425509093e09 | 417 | py | Python | notifire/transport/__init__.py | Notifire/notifire-python | 3c9f58ec08b9950a8f6e7072a5aa40afa0e5d936 | [
"BSD-3-Clause"
] | 1 | 2020-12-30T20:28:36.000Z | 2020-12-30T20:28:36.000Z | notifire/transport/__init__.py | Notifire/Notifire-python | 3c9f58ec08b9950a8f6e7072a5aa40afa0e5d936 | [
"BSD-3-Clause"
] | null | null | null | notifire/transport/__init__.py | Notifire/Notifire-python | 3c9f58ec08b9950a8f6e7072a5aa40afa0e5d936 | [
"BSD-3-Clause"
] | 1 | 2021-03-18T23:17:13.000Z | 2021-03-18T23:17:13.000Z | from notifire.transport.aiohttp import AioHTTPTransport # NOQA
from notifire.transport.gevent import GeventedHTTPTransport # NOQA
from notifire.transport.http import HTTPTransport # NOQA
from notifire.transport.requests import RequestsHTTPTransport # NOQA
from notifire.transport.threaded import ThreadedHTTPTransport # NOQA
from notifire.transport.threaded_requests import ThreadedRequestsHTTPTransport # NOQA
| 59.571429 | 86 | 0.856115 | 43 | 417 | 8.27907 | 0.372093 | 0.202247 | 0.353933 | 0.351124 | 0.185393 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.100719 | 417 | 6 | 87 | 69.5 | 0.949333 | 0.069544 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
4bb91377dc79f530ca0ac8d8cc089a0053c2db70 | 8,265 | py | Python | awx/main/tests/unit/analytics/test_collection_interval.py | DamoR25/awxnew | 03ed6e97558ae090ea52703caf6ed1b196557981 | [
"Apache-2.0"
] | 11,396 | 2017-09-07T04:56:02.000Z | 2022-03-31T13:56:17.000Z | awx/main/tests/unit/analytics/test_collection_interval.py | DamoR25/awxnew | 03ed6e97558ae090ea52703caf6ed1b196557981 | [
"Apache-2.0"
] | 11,046 | 2017-09-07T09:30:46.000Z | 2022-03-31T20:28:01.000Z | awx/main/tests/unit/analytics/test_collection_interval.py | DamoR25/awxnew | 03ed6e97558ae090ea52703caf6ed1b196557981 | [
"Apache-2.0"
] | 3,592 | 2017-09-07T04:14:31.000Z | 2022-03-31T23:53:09.000Z | import logging
import pytest
from django.utils.timezone import now, timedelta
from awx.main.analytics.core import calculate_collection_interval
# This is some bullshit.
logger = logging.getLogger('awx.main.analytics')
logger.propagate = True
epsilon = timedelta(minutes=1)
class TestIntervalWithSinceAndUntil:
@pytest.mark.parametrize('gather', [None, 2, 6])
def test_ok(self, caplog, settings, gather):
_now = now()
_prior = _now - timedelta(weeks=gather) if gather is not None else None
until = _now
since = until - timedelta(weeks=3)
settings.AUTOMATION_ANALYTICS_LAST_GATHER = _prior
new_since, new_until, last_gather = calculate_collection_interval(since, until)
assert new_since == since
assert new_until == until
# 1 log message, if LAST_GATHER was more than 4 weeks ago
expected = 1 if gather and gather > 4 else 0
assert len(caplog.records) == expected
assert sum(1 for msg in caplog.messages if "more than 4 weeks prior" in msg) == expected
# last_gather is always set to something even if LAST_GATHER was empty
assert last_gather is not None
assert abs(until - last_gather - timedelta(weeks=gather if gather and gather <= 4 else 4)) < epsilon
def test_both_in_future(self, caplog):
since = now() + timedelta(weeks=1)
until = since + timedelta(weeks=1)
with pytest.raises(ValueError):
calculate_collection_interval(since, until)
# log message each for `since` and `until` getting chopped, then another for the empty interval
assert len(caplog.records) == 3
assert sum(1 for msg in caplog.messages if "is in the future" in msg) == 2
assert sum(1 for msg in caplog.messages if "later than the end" in msg) == 1
def test_until_in_future(self, caplog):
_now = now()
since = _now - timedelta(weeks=1)
until = _now + timedelta(weeks=1)
new_since, new_until, _ = calculate_collection_interval(since, until)
assert new_since == since
assert abs(_now - new_until) < epsilon # `until` gets truncated to now()
# log message for `until` getting chopped
assert len(caplog.records) == 1
assert sum(1 for msg in caplog.messages if "is in the future" in msg) == 1
def test_interval_too_large(self, caplog):
until = now()
since = until - timedelta(weeks=5)
new_since, new_until, _ = calculate_collection_interval(since, until)
# interval is 4 weeks counting forward from explicit `since`
assert new_since == since
assert new_until == since + timedelta(weeks=4)
# log message for `until` getting chopped
assert len(caplog.records) == 1
assert sum(1 for msg in caplog.messages if "greater than 4 weeks from start" in msg) == 1
def test_reversed(self, caplog):
since = now()
until = since - timedelta(weeks=3)
with pytest.raises(ValueError):
calculate_collection_interval(since, until)
# log message for the empty interval
assert len(caplog.records) == 1
assert sum(1 for msg in caplog.messages if "later than the end" in msg) == 1
class TestIntervalWithSinceOnly:
@pytest.mark.parametrize('gather', [None, 2, 6])
def test_ok(self, caplog, settings, gather):
_now = now()
_prior = _now - timedelta(weeks=gather) if gather is not None else None
since = _now - timedelta(weeks=2)
until = None # until is going to wind up being effectively now.
settings.AUTOMATION_ANALYTICS_LAST_GATHER = _prior
new_since, new_until, last_gather = calculate_collection_interval(since, until)
# `since` is only 2 weeks back, so now() is within the 4-week cutoff and can be used for `until`
assert new_since == since
assert abs(new_until - _now) < epsilon
# 1 log message, if LAST_GATHER was more than 4 weeks ago
expected = 1 if gather and gather > 4 else 0
assert len(caplog.records) == expected
assert sum(1 for msg in caplog.messages if "more than 4 weeks prior" in msg) == expected
# last_gather is always set to something even if LAST_GATHER was empty
assert last_gather is not None
assert abs(_now - last_gather - timedelta(weeks=gather if gather and gather <= 4 else 4)) < epsilon
def test_since_more_than_4_weeks_before_now(self, caplog):
since = now() - timedelta(weeks=5)
until = None # until is going to wind up being effectively now.
new_since, new_until, last_gather = calculate_collection_interval(since, until)
# interval is 4 weeks counting forward from explicit `since`
assert new_since == since
assert new_until == since + timedelta(weeks=4)
# no logs, since no explicit parameters were truncated or adjusted
assert len(caplog.records) == 0
def test_since_in_future(self, caplog):
since = now() + timedelta(weeks=1)
until = None
with pytest.raises(ValueError):
calculate_collection_interval(since, until)
# log message for `since` getting chopped, and another for the empty interval
assert len(caplog.records) == 2
assert sum(1 for msg in caplog.messages if "is in the future" in msg) == 1
assert sum(1 for msg in caplog.messages if "later than the end" in msg) == 1
class TestIntervalWithUntilOnly:
@pytest.mark.parametrize('gather', [None, 2, 6])
def test_ok(self, caplog, settings, gather):
_now = now()
_prior = _now - timedelta(weeks=gather) if gather is not None else None
since = None
until = _now - timedelta(weeks=1)
settings.AUTOMATION_ANALYTICS_LAST_GATHER = _prior
new_since, new_until, last_gather = calculate_collection_interval(since, until)
assert new_since is None # this allows LAST_ENTRIES[key] to be the fallback
assert new_until == until
# last_gather is always set to something even if LAST_GATHER was empty
assert last_gather is not None
# since `until` is 1 week ago, the 4-week cutoff is 5 weeks ago
assert abs(_now - last_gather - timedelta(weeks=gather if gather and gather <= 5 else 5)) < epsilon
# 1 log message for LAST_GATHER, if it was more than 4 weeks before `until`
expected = 1 if gather and gather > 5 else 0
assert len(caplog.records) == expected
assert sum(1 for msg in caplog.messages if "more than 4 weeks prior" in msg) == expected
def test_until_in_future(self, caplog):
_now = now()
since = None
until = _now + timedelta(weeks=1)
new_since, new_until, _ = calculate_collection_interval(since, until)
assert new_since is None # this allows LAST_ENTRIES[key] to be the fallback
assert abs(new_until - _now) < epsilon # `until` gets truncated to now()
# log message for `until` getting chopped
assert len(caplog.records) == 1
assert sum(1 for msg in caplog.messages if "is in the future" in msg) == 1
class TestIntervalWithNoParams:
@pytest.mark.parametrize('gather', [None, 2, 6])
def test_ok(self, caplog, settings, gather):
_now = now()
_prior = _now - timedelta(weeks=gather) if gather is not None else None
since, until = None, None
settings.AUTOMATION_ANALYTICS_LAST_GATHER = _prior
new_since, new_until, last_gather = calculate_collection_interval(since, until)
assert new_since is None # this allows LAST_ENTRIES[key] to be the fallback
assert abs(new_until - _now) < epsilon # `until` defaults to now()
# last_gather is always set to something even if LAST_GATHER was empty
assert last_gather is not None
assert abs(_now - last_gather - timedelta(weeks=gather if gather and gather <= 4 else 4)) < epsilon
# 1 log message for LAST_GATHER, if it was more than 4 weeks before now
expected = 1 if gather and gather > 4 else 0
assert len(caplog.records) == expected
assert sum(1 for msg in caplog.messages if "more than 4 weeks prior" in msg) == expected
| 43.046875 | 108 | 0.667272 | 1,161 | 8,265 | 4.614987 | 0.112834 | 0.054125 | 0.06047 | 0.029115 | 0.847704 | 0.843972 | 0.808511 | 0.794513 | 0.791527 | 0.770623 | 0 | 0.014797 | 0.255898 | 8,265 | 191 | 109 | 43.272251 | 0.856423 | 0.188022 | 0 | 0.706349 | 0 | 0 | 0.042353 | 0 | 0 | 0 | 0 | 0 | 0.373016 | 1 | 0.087302 | false | 0 | 0.031746 | 0 | 0.150794 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
29aad7816327b9566f2bfa6bf4486f1e85b0bfc5 | 6,456 | py | Python | CaptureTheFlag/CTF_Learn/Cryptography/encryption_master.py | lgolinski/ctf_codewars_etc | c1229102968e0fa132075d0bc7fc74c4e91477f7 | [
"MIT"
] | null | null | null | CaptureTheFlag/CTF_Learn/Cryptography/encryption_master.py | lgolinski/ctf_codewars_etc | c1229102968e0fa132075d0bc7fc74c4e91477f7 | [
"MIT"
] | null | null | null | CaptureTheFlag/CTF_Learn/Cryptography/encryption_master.py | lgolinski/ctf_codewars_etc | c1229102968e0fa132075d0bc7fc74c4e91477f7 | [
"MIT"
] | null | null | null | # help 1: https://www.rapidtables.com/code/text/ascii-table.html
# help 2: https://stackoverflow.com/questions/9641440/convert-from-ascii-string-encoded-in-hex-to-plain-ascii
# help 3: https://stackoverflow.com/questions/7396849/convert-binary-to-ascii-and-vice-versa
import base64
# This is NOT going to be fun.
first_encoding = b'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'
# Nice! Now keep going.
second_encoding = '54776f206d6f72652e203031303030313130203031313031303031203031313031313130203031313030303031203031313031313030203030313030303030203031303030313030203031313030313031203031313030303131203031313130303130203031313131303031203031313130303030203031313130313030203031313031303031203031313031313131203031313031313130203030313030303031203030313030303030203031303130303031203030313130303031203031303130303130203031303030313131203031313030313031203030313130303030203031313031313030203031313030313130203031303130303031203031303130313031203030313130303031203031313030313130203031303130313031203031303030313130203031303031303130203031303130303030203031303130313130203031303130313031203031303130303130203031313030313130203031303130313030203030313130303030203031303131303130203031313030313130203031303130313131203031303130313031203030313131303031203031303130313130203031313030313130203031303130303031203030313131313031203030313131313031'
#Two more.
third_encoding = '0100011001101001011011100110000101101100001000000100010001100101011000110111001001111001011100000111010001101001011011110110111000100001001000000101000100110001010100100100011101100101001100000110110001100110010100010101010100110001011001100101010101000110010010100101000001010110010101010101001001100110010101000011000001011010011001100101011101010101001110010101011001100110010100010011110100111101'
# Final Decryption!
final_encoding = 'Q1RGe0lfQU1fUFJPVURfT0ZfWU9VfQ=='
print('-- ================================================================= --')
print('-- ENCODED TEXT --')
print('-- ================================================================= --')
print()
print('This is NOT going to be fun. 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')
print()
print('-- ================================================================= --')
print()
print('-- ================================================================= --')
print('-- FIRST DECRYPTION --')
print('-- ================================================================= --')
print()
first_decode = base64.b64decode(first_encoding)
print(first_decode)
print()
print('-- ================================================================= --')
print()
print('-- ================================================================= --')
print('-- SECOND DECRYPTION --')
print('-- ================================================================= --')
print()
second_decode = bytearray.fromhex(second_encoding).decode()
print(second_decode)
print()
print('-- ================================================================= --')
print()
print('-- ================================================================= --')
print('-- THIRD DECRYPTION --')
print('-- ================================================================= --')
print()
n = int('0b' + third_encoding, 2)
third_decoded = n.to_bytes((n.bit_length() + 7) // 8, 'big').decode()
print(third_decoded)
print()
print('-- ================================================================= --')
print()
print('-- ================================================================= --')
print('-- FINAL DECRYPTION --')
print('-- ================================================================= --')
print()
final_decrypt = base64.b64decode(final_encoding)
print(final_decrypt)
print()
print('-- ================================================================= --')
print() | 82.769231 | 1,294 | 0.733891 | 175 | 6,456 | 26.971429 | 0.394286 | 0.052966 | 0.044492 | 0.033898 | 0.032627 | 0.022034 | 0.008898 | 0 | 0 | 0 | 0 | 0.226277 | 0.066295 | 6,456 | 78 | 1,295 | 82.769231 | 0.556735 | 0.052664 | 0 | 0.6 | 0 | 0 | 0.870192 | 0.791783 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.02 | 0 | 0.02 | 0.8 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
29dc65050d6672664132d8fe3d1d1790960f4bfd | 58,860 | py | Python | pyamg/relaxation/tests/test_relaxation.py | pombreda/pyamg | ecd464de4d16e16bc905d84df181025ddf3c1958 | [
"BSD-3-Clause"
] | 1 | 2018-07-03T15:32:01.000Z | 2018-07-03T15:32:01.000Z | pyamg/relaxation/tests/test_relaxation.py | pombreda/pyamg | ecd464de4d16e16bc905d84df181025ddf3c1958 | [
"BSD-3-Clause"
] | null | null | null | pyamg/relaxation/tests/test_relaxation.py | pombreda/pyamg | ecd464de4d16e16bc905d84df181025ddf3c1958 | [
"BSD-3-Clause"
] | null | null | null | from pyamg.testing import *
import numpy
import scipy
from scipy.sparse import spdiags, csr_matrix, bsr_matrix, eye
from scipy import arange, ones, zeros, array, allclose, zeros_like, \
tril, diag, triu, rand, asmatrix, mat
from scipy.linalg import solve
from pyamg.gallery import poisson, sprand, elasticity
from pyamg.relaxation import *
from pyamg.util.utils import get_block_diag
# Ignore efficiency warnings
import warnings
from scipy.sparse import SparseEfficiencyWarning
warnings.simplefilter('ignore',SparseEfficiencyWarning)
class TestCommonRelaxation(TestCase):
def setUp(self):
self.cases = []
self.cases.append( (gauss_seidel, (), {}) )
self.cases.append( (jacobi, (), {}) )
self.cases.append( (block_jacobi, (), {}) )
self.cases.append( (block_gauss_seidel, (), {}) )
self.cases.append( (jacobi_ne, (), {}) )
self.cases.append( (schwarz, (), {}) )
self.cases.append( (sor, (0.5,), {}) )
self.cases.append( (gauss_seidel_indexed, ([1,0],), {}) )
self.cases.append( (polynomial, ([0.6,0.1],), {}) )
def test_single_precision(self):
for method,args,kwargs in self.cases:
A = poisson((4,), format='csr').astype('float32')
b = arange(A.shape[0], dtype='float32')
x = 0*b
method(A, x, b, *args, **kwargs)
def test_double_precision(self):
for method,args,kwargs in self.cases:
A = poisson((4,), format='csr').astype('float64')
b = arange(A.shape[0], dtype='float64')
x = 0*b
method(A, x, b, *args, **kwargs)
def test_strided_x(self):
"""non-contiguous x should raise errors"""
for method,args,kwargs in self.cases:
A = poisson((4,), format='csr').astype('float64')
b = arange(A.shape[0], dtype='float64')
x = zeros(2*A.shape[0])[::2]
assert_raises(ValueError, method, A, x, b, *args, **kwargs)
def test_mixed_precision(self):
"""mixed precision arguments should raise errors"""
for method,args,kwargs in self.cases:
A32 = poisson((4,), format='csr').astype('float32')
b32 = arange(A32.shape[0], dtype='float32')
x32 = 0*b32
A64 = poisson((4,), format='csr').astype('float64')
b64 = arange(A64.shape[0], dtype='float64')
x64 = 0*b64
assert_raises(TypeError, method, A32, x32, b64, *args, **kwargs)
assert_raises(TypeError, method, A32, x64, b32, *args, **kwargs)
assert_raises(TypeError, method, A64, x32, b32, *args, **kwargs)
assert_raises(TypeError, method, A32, x64, b64, *args, **kwargs)
assert_raises(TypeError, method, A64, x64, b32, *args, **kwargs)
assert_raises(TypeError, method, A64, x32, b64, *args, **kwargs)
def test_vector_sizes(self):
"""incorrect vector sizes should raise errors"""
for method,args,kwargs in self.cases:
A = poisson((4,), format='csr').astype('float64')
b4 = arange(4, dtype='float64')
x4 = 0*b4
b5 = arange(5, dtype='float64')
x5 = 0*b5
assert_raises(ValueError, method, A, x4, b5, *args, **kwargs)
assert_raises(ValueError, method, A, x5, b4, *args, **kwargs)
assert_raises(ValueError, method, A, x5, b5, *args, **kwargs)
def test_non_square_matrix(self):
for method,args,kwargs in self.cases:
A = poisson((4,), format='csr').astype('float64')
A = A[:3]
b = arange(A.shape[0], dtype='float64')
x = ones(A.shape[1], dtype='float64')
assert_raises(ValueError, method, A, x, b, *args, **kwargs)
class TestRelaxation(TestCase):
def test_polynomial(self):
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x0 = arange(N, dtype=A.dtype)
x = x0.copy()
b = zeros(N, dtype=A.dtype)
r = (b - A*x0)
polynomial(A,x,b,[-1.0/3.0])
assert_almost_equal(x,x0-1.0/3.0*r)
x = x0.copy()
polynomial(A,x,b,[0.2,-1])
assert_almost_equal(x,x0 + 0.2*A*r - r)
x = x0.copy()
polynomial(A,x,b,[0.2,-1])
assert_almost_equal(x,x0 + 0.2*A*r - r)
x = x0.copy()
polynomial(A,x,b,[-0.14285714, 1., -2.])
assert_almost_equal(x,x0 - 0.14285714*A*A*r + A*r - 2*r)
# polynomial() optimizes for the case x=0
x = 0*x0
polynomial(A,x,b,[-1.0/3.0])
assert_almost_equal(x,1.0/3.0*b)
x = 0*x0
polynomial(A,x,b,[-0.14285714, 1., -2.])
assert_almost_equal(x,0.14285714*A*A*b + A*b - 2*b)
def test_jacobi(self):
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
jacobi(A,x,b)
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = zeros(N)
b = arange(N).astype(numpy.float64)
jacobi(A,x,b)
assert_almost_equal(x,array([0.0,0.5,1.0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
jacobi(A,x,b)
assert_almost_equal(x,array([0.5,1.0,0.5]))
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = array([10], dtype=A.dtype)
jacobi(A,x,b)
assert_almost_equal(x,array([5]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = array([10,20,30], dtype=A.dtype)
jacobi(A,x,b)
assert_almost_equal(x,array([5.5,11.0,15.5]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
x_copy = x.copy()
b = array([10,20,30], dtype=A.dtype)
jacobi(A,x,b,omega=1.0/3.0)
assert_almost_equal(x,2.0/3.0*x_copy + 1.0/3.0*array([5.5,11.0,15.5]))
def test_jacobi_bsr(self):
cases = []
#JBS: remove some N
for N in [1,2,3,4,5,6,10]:
cases.append( spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N).tocsr() )
cases.append( elasticity.linear_elasticity((N,N))[0].tocsr() )
C = csr_matrix( rand(N,N) )
cases.append( C*C.H )
C = sprand(N*2,N*2,0.3) + eye(N*2,N*2)
cases.append( C*C.H )
for A in cases:
divisors = [ n for n in range(1,A.shape[0]+1) if A.shape[0] % n == 0 ]
x_csr = arange(A.shape[0]).astype(numpy.float64)
b = x_csr**2
jacobi(A,x_csr,b)
for D in divisors:
B = A.tobsr(blocksize=(D,D))
x_bsr = arange(B.shape[0]).astype(numpy.float64)
jacobi(B,x_bsr,b)
assert_almost_equal(x_bsr,x_csr)
def test_gauss_seidel_bsr(self):
sweeps = ['forward', 'backward', 'symmetric']
cases = []
for N in [1,2,3,4,5,6,10]:
cases.append( spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N).tocsr() )
cases.append( elasticity.linear_elasticity((N,N))[0].tocsr() )
C = csr_matrix( rand(N,N) )
cases.append( C*C.H )
C = sprand(N*2,N*2,0.3) + eye(N*2,N*2)
cases.append( C*C.H )
for A in cases:
for sweep in sweeps:
divisors = [ n for n in range(1,A.shape[0]+1) if A.shape[0] % n == 0 ]
x_csr = arange(A.shape[0]).astype(numpy.float64)
b = x_csr**2
gauss_seidel(A,x_csr,b,sweep=sweep)
for D in divisors:
B = A.tobsr(blocksize=(D,D))
x_bsr = arange(B.shape[0]).astype(numpy.float64)
gauss_seidel(B,x_bsr,b,sweep=sweep)
assert_almost_equal(x_bsr,x_csr)
def test_gauss_seidel_gold(self):
scipy.random.seed(0)
cases = []
cases.append( poisson( (4,), format='csr' ) )
cases.append( poisson( (4,4), format='csr' ) )
temp = asmatrix( rand(4,4) )
cases.append( csr_matrix( temp.T * temp) )
# reference implementation
def gold(A,x,b,iterations,sweep):
A = A.todense()
L = tril(A,k=-1)
D = diag(diag(A))
U = triu(A,k=1)
for i in range(iterations):
if sweep == 'forward':
x = solve(L + D, (b - U*x) )
elif sweep == 'backward':
x = solve(U + D, (b - L*x) )
else:
x = solve(L + D, (b - U*x) )
x = solve(U + D, (b - L*x) )
return x
for A in cases:
b = asmatrix(rand(A.shape[0],1))
x = asmatrix(rand(A.shape[0],1))
x_copy = x.copy()
gauss_seidel(A, x, b, iterations=1, sweep='forward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='forward') )
x_copy = x.copy()
gauss_seidel(A, x, b, iterations=1, sweep='backward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='backward') )
x_copy = x.copy()
gauss_seidel(A, x, b, iterations=1, sweep='symmetric')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='symmetric') )
def test_gauss_seidel_csr(self):
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
gauss_seidel(A,x,b)
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
gauss_seidel(A,x,b)
assert_almost_equal(x,array([1.0/2.0,5.0/4.0,5.0/8.0]))
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
gauss_seidel(A,x,b,sweep='backward')
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
gauss_seidel(A,x,b,sweep='backward')
assert_almost_equal(x,array([1.0/8.0,1.0/4.0,1.0/2.0]))
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = array([10], dtype=A.dtype)
gauss_seidel(A,x,b)
assert_almost_equal(x,array([5]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = array([10,20,30], dtype=A.dtype)
gauss_seidel(A,x,b)
assert_almost_equal(x,array([11.0/2.0,55.0/4,175.0/8.0]))
#forward and backward passes should give same result with x=ones(N),b=zeros(N)
N = 100
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = ones(N)
b = zeros(N)
gauss_seidel(A,x,b,iterations=200,sweep='forward')
resid1 = numpy.linalg.norm(A*x,2)
x = ones(N)
gauss_seidel(A,x,b,iterations=200,sweep='backward')
resid2 = numpy.linalg.norm(A*x,2)
self.assert_(resid1 < 0.01 and resid2 < 0.01)
self.assert_(allclose(resid1,resid2))
def test_gauss_seidel_indexed(self):
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
gauss_seidel_indexed(A,x,b,[0])
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
gauss_seidel_indexed(A,x,b,[0,1,2])
assert_almost_equal(x,array([1.0/2.0,5.0/4.0,5.0/8.0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
gauss_seidel_indexed(A,x,b,[2,1,0],sweep='backward')
assert_almost_equal(x,array([1.0/2.0,5.0/4.0,5.0/8.0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
gauss_seidel_indexed(A,x,b,[0,1,2],sweep='backward')
assert_almost_equal(x,array([1.0/8.0,1.0/4.0,1.0/2.0]))
N = 4
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = ones(N)
b = zeros(N)
gauss_seidel_indexed(A,x,b,[0,3])
assert_almost_equal(x,array([1.0/2.0, 1.0, 1.0, 1.0/2.0]))
N = 4
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = ones(N)
b = zeros(N)
gauss_seidel_indexed(A,x,b,[0,0])
assert_almost_equal(x,array([1.0/2.0, 1.0, 1.0, 1.0]))
def test_jacobi_ne(self):
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
jacobi_ne(A,x,b)
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = zeros(N)
b = arange(N).astype(numpy.float64)
jacobi_ne(A,x,b)
assert_almost_equal(x,array([-1./6., -1./15., 19./30.]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
jacobi_ne(A,x,b)
assert_almost_equal(x,array([2./5., 7./5., 4./5.]))
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = array([10], dtype=A.dtype)
jacobi_ne(A,x,b)
assert_almost_equal(x,array([5]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = array([10,20,30], dtype=A.dtype)
jacobi_ne(A,x,b)
assert_almost_equal(x,array([16./15., 1./15., (9 + 7./15.) ]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
x_copy = x.copy()
b = array([10,20,30], dtype=A.dtype)
jacobi_ne(A,x,b,omega=1.0/3.0)
assert_almost_equal(x,2.0/3.0*x_copy + 1.0/3.0*array([16./15., 1./15., (9 + 7./15.) ]))
def test_gauss_seidel_ne_bsr(self):
cases = []
#JBS: remove some N
for N in [1,2,3,4,5,6,10]:
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N).tocsr()
divisors = [ n for n in range(1,N+1) if N % n == 0 ]
x_csr = arange(N).astype(numpy.float64)
b = x_csr**2
gauss_seidel_ne(A,x_csr,b)
for D in divisors:
B = A.tobsr(blocksize=(D,D))
x_bsr = arange(N).astype(numpy.float64)
gauss_seidel_ne(B,x_bsr,b)
assert_almost_equal(x_bsr,x_csr)
def test_gauss_seidel_ne_new(self):
scipy.random.seed(0)
cases = []
cases.append( poisson( (4,), format='csr' ) )
cases.append( poisson( (4,4), format='csr' ) )
temp = asmatrix( rand(4,4) )
cases.append( csr_matrix( temp.T * temp) )
# reference implementation
def gold(A,x,b,iterations,sweep):
A = mat(A.todense())
AA = A*A.T
L = tril(AA,k=0)
U = triu(AA,k=0)
for i in range(iterations):
if sweep == 'forward':
x = x + A.T*(solve(L, (b - A*x) ))
elif sweep == 'backward':
x = x + A.T*(solve(U, (b - A*x) ))
else:
x = x + A.T*(solve(L, (b - A*x) ))
x = x + A.T*(solve(U, (b - A*x) ))
return x
for A in cases:
b = asmatrix(rand(A.shape[0],1))
x = asmatrix(rand(A.shape[0],1))
x_copy = x.copy()
gauss_seidel_ne(A, x, b, iterations=1, sweep='forward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='forward') )
x_copy = x.copy()
gauss_seidel_ne(A, x, b, iterations=1, sweep='backward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='backward') )
x_copy = x.copy()
gauss_seidel_ne(A, x, b, iterations=1, sweep='symmetric')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='symmetric') )
def test_gauss_seidel_ne_csr(self):
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
gauss_seidel_ne(A,x,b)
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(numpy.float64)
b = zeros(N)
gauss_seidel_ne(A,x,b)
assert_almost_equal(x,array([4./15., 8./5., 4./5.]))
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = zeros(N, dtype=A.dtype)
gauss_seidel_ne(A,x,b,sweep='backward')
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = zeros(N, dtype=A.dtype)
gauss_seidel_ne(A,x,b,sweep='backward')
assert_almost_equal(x,array([2./5., 4./5., 6./5.]))
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = array([10], dtype=A.dtype)
gauss_seidel_ne(A,x,b)
assert_almost_equal(x,array([5]))
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = array([10], dtype=A.dtype)
gauss_seidel_ne(A,x,b,sweep='backward')
assert_almost_equal(x,array([5]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N, dtype=A.dtype)
b = array([10,20,30], dtype=A.dtype)
gauss_seidel_ne(A,x,b)
assert_almost_equal(x,array([-2./5., -2./5., (14 + 4./5.)]))
#forward and backward passes should give same result with x=ones(N),b=zeros(N)
N = 100
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = ones(N)
b = zeros(N)
gauss_seidel_ne(A,x,b,iterations=200,sweep='forward')
resid1 = numpy.linalg.norm(A*x,2)
x = ones(N)
gauss_seidel_ne(A,x,b,iterations=200,sweep='backward')
resid2 = numpy.linalg.norm(A*x,2)
self.assert_(resid1 < 0.2 and resid2 < 0.2)
self.assert_(allclose(resid1,resid2))
def test_gauss_seidel_nr_bsr(self):
cases = []
for N in [1,2,3,4,5,6,10]:
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N).tocsr()
divisors = [ n for n in range(1,N+1) if N % n == 0 ]
x_csr = arange(N).astype(numpy.float64)
b = x_csr**2
gauss_seidel_nr(A,x_csr,b)
for D in divisors:
B = A.tobsr(blocksize=(D,D))
x_bsr = arange(N).astype(numpy.float64)
gauss_seidel_nr(B,x_bsr,b)
assert_almost_equal(x_bsr,x_csr)
def test_gauss_seidel_nr(self):
scipy.random.seed(0)
cases = []
cases.append( poisson( (4,), format='csr' ) )
cases.append( poisson( (4,4), format='csr' ) )
temp = asmatrix( rand(1,1) )
cases.append( csr_matrix( temp) )
temp = asmatrix( rand(2,2) )
cases.append( csr_matrix( temp) )
temp = asmatrix( rand(4,4) )
cases.append( csr_matrix( temp) )
# reference implementation
def gold(A,x,b,iterations,sweep):
A = mat(A.todense())
AA = A.H*A
L = tril(AA,k=0)
U = triu(AA,k=0)
for i in range(iterations):
if sweep == 'forward':
x = x + (solve(L, A.H*(b - A*x) ))
elif sweep == 'backward':
x = x + (solve(U, A.H*(b - A*x) ))
else:
x = x + (solve(L, A.H*(b - A*x) ))
x = x + (solve(U, A.H*(b - A*x) ))
return x
for A in cases:
b = asmatrix(rand(A.shape[0],1))
x = asmatrix(rand(A.shape[0],1))
x_copy = x.copy()
gauss_seidel_nr(A, x, b, iterations=1, sweep='forward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='forward') )
x_copy = x.copy()
gauss_seidel_nr(A, x, b, iterations=1, sweep='backward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='backward') )
x_copy = x.copy()
gauss_seidel_nr(A, x, b, iterations=1, sweep='symmetric')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='symmetric') )
#forward and backward passes should give same result with x=ones(N),b=zeros(N)
N = 100
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = ones(N)
b = zeros(N)
gauss_seidel_nr(A,x,b,iterations=200,sweep='forward')
resid1 = numpy.linalg.norm(A*x,2)
x = ones(N)
gauss_seidel_nr(A,x,b,iterations=200,sweep='backward')
resid2 = numpy.linalg.norm(A*x,2)
self.assert_(resid1 < 0.2 and resid2 < 0.2)
self.assert_(allclose(resid1,resid2))
def test_schwarz_gold(self):
scipy.random.seed(0)
cases = []
cases.append( poisson( (4,), format='csr' ) )
cases.append( poisson( (4,4), format='csr' ) )
A = poisson( (8,8), format='csr' )
A.data[0] = 10.0; A.data[1] = -0.5; A.data[3] = -0.5
cases.append( A )
temp = asmatrix( rand(1,1) )
cases.append( csr_matrix( temp.T * temp) )
temp = asmatrix( rand(2,2) )
cases.append( csr_matrix( temp.T * temp) )
temp = asmatrix( rand(4,4) )
cases.append( csr_matrix( temp.T * temp) )
# reference implementation
def gold(A,x,b,iterations,sweep='forward'):
A = csr_matrix(A)
##
# Default is point-wise iteration with each subdomain a point's neighborhood
# in the matrix graph
subdomains = [A.indices[A.indptr[i]:A.indptr[i+1]] for i in range(A.shape[0]) ]
##
# extract each subdomain's block from the matrix
subblocks = [ scipy.linalg.pinv2(( (A[subdomains[i],:]).tocsc()[:,subdomains[i]] ).todense())\
for i in range(len(subdomains)) ]
if sweep == 'forward':
indices = range(len(subdomains))
elif sweep == 'backward':
indices = range(len(subdomains)-1,-1,-1)
elif sweep == 'symmetric':
indices = range(len(subdomains))
indices.extend( range(len(subdomains)-1,-1,-1) )
##
# Multiplicative Schwarz iterations
for j in xrange(iterations):
for i in indices:
x[subdomains[i]] = scipy.dot(subblocks[i], (b[subdomains[i]] - A[subdomains[i],:]*x)) + \
x[subdomains[i]]
return x
for A in cases:
b = asmatrix(rand(A.shape[0],1))
x = asmatrix(rand(A.shape[0],1))
x_copy = x.copy()
schwarz(A, x, b, iterations=1, sweep='forward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='forward') )
x_copy = x.copy()
schwarz(A, x, b, iterations=1, sweep='backward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='backward') )
x_copy = x.copy()
schwarz(A, x, b, iterations=1, sweep='symmetric')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='symmetric') )
# Test complex arithmetic
class TestComplexRelaxation(TestCase):
def test_jacobi(self):
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
b = zeros(N).astype(A.dtype)
jacobi(A,x,b)
assert_almost_equal(x,array([0]))
x = array([1.0 + 1.0j])
b = array([-1.0 + 1.0j])
omega = 4.0 - 1.0j
jacobi(A,x,b,omega=omega)
assert_almost_equal(x,array([-3.5]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = zeros(N).astype(A.dtype)
b = arange(N).astype(A.dtype)
b = b + 1.0j*b
soln = array([0.0,0.5,1.0])
jacobi(A,x,b)
assert_almost_equal(x,soln)
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = zeros(N).astype(A.dtype)
soln = array([0.5 + 0.5j,1.0 + 1.0j,0.5+0.5j])
jacobi(A,x,b)
assert_almost_equal(x,soln)
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
b = array([10]).astype(A.dtype)
jacobi(A,x,b)
assert_almost_equal(x,array([2.5 - 2.5j]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = array([10,20,30]).astype(A.dtype)
soln = array([3.0-2.0j, 6.0-4.0j, 8.0-7.0j])
jacobi(A,x,b)
assert_almost_equal(x,soln)
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
x_copy = x.copy()
b = array([10,20,30]).astype(A.dtype)
soln = 2.0/3.0*x_copy + 1.0/3.0*array([3.0-2.0j, 6.0-4.0j, 8.0-7.0j])
jacobi(A,x,b,omega=1.0/3.0)
assert_almost_equal(x,soln)
def test_jacobi_bsr(self):
cases = []
for N in [1,2,3,4,5,6,10]:
#
C = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N).tocsr()
C.data = C.data + 1.0j*1e-3*rand(C.data.shape[0],)
cases.append( C )
#
cases.append( 1.0j*elasticity.linear_elasticity((N,N))[0].tocsr() )
#
C = csr_matrix( rand(N,N) + 1.0j*rand(N,N) )
cases.append( C*C.H )
#
C = sprand(N*2,N*2,0.3) + 1.0j*sprand(N*2,N*2,0.3) + eye(N*2,N*2)
cases.append( C*C.H )
for A in cases:
divisors = [ n for n in range(1,A.shape[0]+1) if A.shape[0] % n == 0 ]
x0 = (arange(A.shape[0]) + 1.0j*1e-3*rand(A.shape[0],)).astype(A.dtype)
x_csr = x0.copy()
b = x_csr**2
jacobi(A,x_csr,b)
for D in divisors:
B = A.tobsr(blocksize=(D,D))
x_bsr = x0.copy()
jacobi(B,x_bsr,b)
assert_almost_equal(x_bsr,x_csr)
def test_gauss_seidel_bsr(self):
sweeps = ['forward', 'backward', 'symmetric']
cases = []
for N in [1,2,3,4,5,6,10]:
#
C = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N).tocsr()
C.data = C.data + 1.0j*1e-3*rand(C.data.shape[0],)
cases.append( C )
#
cases.append( 1.0j*elasticity.linear_elasticity((N,N))[0].tocsr() )
#
C = csr_matrix( rand(N,N) + 1.0j*rand(N,N) )
cases.append( C*C.H )
#
C = sprand(N*2,N*2,0.3) + 1.0j*sprand(N*2,N*2,0.3) + eye(N*2,N*2)
cases.append( C*C.H )
for A in cases:
for sweep in sweeps:
divisors = [ n for n in range(1,A.shape[0]+1) if A.shape[0] % n == 0 ]
x0 = (arange(A.shape[0]) + 1.0j*1e-3*rand(A.shape[0],)).astype(A.dtype)
x_csr = x0.copy()
b = x_csr**2
gauss_seidel(A,x_csr,b,sweep=sweep)
for D in divisors:
B = A.tobsr(blocksize=(D,D))
x_bsr = x0.copy()
gauss_seidel(B,x_bsr,b,sweep=sweep)
assert_almost_equal(x_bsr,x_csr)
def test_schwarz_gold(self):
scipy.random.seed(0)
cases = []
A = poisson( (4,), format='csr' ); A.data = A.data + 1.0j*1e-3*rand(A.data.shape[0],)
cases.append(A)
A = poisson( (4,4), format='csr' ); A.data = A.data + 1.0j*1e-3*rand(A.data.shape[0],)
cases.append(A);
temp = asmatrix( rand(1,1) ) + 1.0j*asmatrix( rand(1,1) )
cases.append( csr_matrix( temp.H * temp) )
temp = asmatrix( rand(2,2) ) + 1.0j*asmatrix( rand(2,2) )
cases.append( csr_matrix( temp.H * temp) )
temp = asmatrix( rand(4,4) ) + 1.0j*asmatrix( rand(4,4) )
cases.append( csr_matrix( temp.H * temp) )
# reference implementation
def gold(A,x,b,iterations):
A = csr_matrix(A)
##
# Default is point-wise iteration with each subdomain a point's neighborhood
# in the matrix graph
subdomains = [A.indices[A.indptr[i]:A.indptr[i+1]] for i in range(A.shape[0]) ]
##
# extract each subdomain's block from the matrix
subblocks = [ scipy.linalg.pinv2(( (A[subdomains[i],:]).tocsc()[:,subdomains[i]] ).todense())\
for i in range(len(subdomains)) ]
##
# Multiplicative Schwarz iterations
for j in xrange(iterations):
for i in xrange(len(subdomains)):
x[subdomains[i]] = scipy.dot(subblocks[i], (b[subdomains[i]] - A[subdomains[i],:]*x)) + \
x[subdomains[i]]
return x
for A in cases:
b = asmatrix(rand(A.shape[0],1)) + 1.0j*asmatrix(rand(A.shape[0],1)).astype(A.dtype)
x = asmatrix(rand(A.shape[0],1)) + 1.0j*asmatrix(rand(A.shape[0],1)).astype(A.dtype)
x_copy = x.copy()
schwarz(A, x, b, iterations=1)
assert_almost_equal( x, gold(A,x_copy,b,iterations=1) )
def test_gauss_seidel_new(self):
scipy.random.seed(0)
cases = []
A = poisson( (4,), format='csr' ); A.data = A.data + 1.0j*1e-3*rand(A.data.shape[0],)
cases.append(A)
A = poisson( (4,4), format='csr' ); A.data = A.data + 1.0j*1e-3*rand(A.data.shape[0],)
cases.append(A);
temp = asmatrix( rand(4,4) ) + 1.0j*asmatrix( rand(4,4) )
cases.append( csr_matrix( temp.H * temp) )
# reference implementation
def gold(A,x,b,iterations,sweep):
A = A.todense()
L = tril(A,k=-1)
D = diag(diag(A))
U = triu(A,k=1)
for i in range(iterations):
if sweep == 'forward':
x = solve(L + D, (b - U*x) )
elif sweep == 'backward':
x = solve(U + D, (b - L*x) )
else:
x = solve(L + D, (b - U*x) )
x = solve(U + D, (b - L*x) )
return x
for A in cases:
b = asmatrix(rand(A.shape[0],1)) + 1.0j*asmatrix(rand(A.shape[0],1)).astype(A.dtype)
x = asmatrix(rand(A.shape[0],1)) + 1.0j*asmatrix(rand(A.shape[0],1)).astype(A.dtype)
##
# Gauss-Seidel Tests
x_copy = x.copy()
gauss_seidel(A, x, b, iterations=1, sweep='forward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='forward') )
x_copy = x.copy()
gauss_seidel(A, x, b, iterations=1, sweep='backward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='backward') )
x_copy = x.copy()
gauss_seidel(A, x, b, iterations=1, sweep='symmetric')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='symmetric') )
##
# Indexed Gauss-Seidel Tests
x_copy = x.copy()
gauss_seidel_indexed(A, x, b, indices=arange(A.shape[0]), iterations=1, sweep='forward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='forward') )
x_copy = x.copy()
gauss_seidel_indexed(A, x, b, indices=arange(A.shape[0]), iterations=1, sweep='backward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='backward') )
x_copy = x.copy()
gauss_seidel_indexed(A, x, b, indices=arange(A.shape[0]), iterations=1, sweep='symmetric')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='symmetric') )
def test_gauss_seidel_csr(self):
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = zeros(N).astype(A.dtype)
gauss_seidel(A,x,b)
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
soln = array([1.0/2.0,5.0/4.0,5.0/8.0])
soln = soln + 1.0j*soln
b = zeros(N).astype(A.dtype)
gauss_seidel(A,x,b)
assert_almost_equal(x,soln)
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = zeros(N).astype(A.dtype)
gauss_seidel(A,x,b,sweep='backward')
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
soln = array([1.0/8.0,1.0/4.0,1.0/2.0])
soln = soln + 1.0j*soln
b = zeros(N).astype(A.dtype)
gauss_seidel(A,x,b,sweep='backward')
assert_almost_equal(x,soln)
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
b = array([10]).astype(A.dtype)
gauss_seidel(A,x,b)
assert_almost_equal(x,array([2.5 - 2.5j]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
soln = array([3.0 - 2.0j, 7.5 - 5.0j, 11.25 - 10.0j])
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = array([10,20,30]).astype(A.dtype)
gauss_seidel(A,x,b)
assert_almost_equal(x,soln)
#forward and backward passes should give same result with x=ones(N),b=zeros(N)
N = 100
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = ones(N).astype(A.dtype)
x = x + 1.0j*x
b = zeros(N).astype(A.dtype)
gauss_seidel(A,x,b,iterations=200,sweep='forward')
resid1 = numpy.linalg.norm(A*x,2)
x = ones(N).astype(A.dtype)
x = x + 1.0j*x
gauss_seidel(A,x,b,iterations=200,sweep='backward')
resid2 = numpy.linalg.norm(A*x,2)
self.assert_(resid1 < 0.03 and resid2 < 0.03)
self.assert_(allclose(resid1,resid2))
def test_jacobi_ne(self):
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
b = zeros(N).astype(A.dtype)
jacobi_ne(A,x,b)
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
soln = array([-1./6., -1./15., 19./30.])
x = zeros(N).astype(A.dtype)
b = arange(N).astype(A.dtype)
b = b + 1.0j*b
jacobi_ne(A,x,b)
assert_almost_equal(x,soln)
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
soln = array([2./5. + 2.0j/5., 7./5. + 7.0j/5., 4./5. + 4.0j/5.])
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = zeros(N).astype(A.dtype)
jacobi_ne(A,x,b)
assert_almost_equal(x,soln)
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
b = array([10]).astype(A.dtype)
jacobi_ne(A,x,b)
assert_almost_equal(x,array([2.5 - 2.5j]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
soln = array([11./15. + 1.0j/15., 11./15. + 31.0j/15, 77./15. - 53.0j/15.])
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = array([10,20,30]).astype(A.dtype)
jacobi_ne(A,x,b)
assert_almost_equal(x,soln)
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = array([10,20,30]).astype(A.dtype)
x_copy = x.copy()
soln = 2.0/3.0*x_copy + 1.0/3.0*array([11./15. + 1.0j/15., 11./15. + 31.0j/15, 77./15. - 53.0j/15.])
jacobi_ne(A,x,b,omega=1.0/3.0)
assert_almost_equal(x,soln)
def test_gauss_seidel_ne_bsr(self):
cases = []
for N in [1,2,3,4,5,6,10]:
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N).tocsr()
A.data = A.data + 1.0j*1e-3*rand(A.data.shape[0],)
divisors = [ n for n in range(1,N+1) if N % n == 0 ]
x_csr = (arange(N) + 1.0j*1e-3*rand(N,)).astype(A.dtype)
x_bsr = x_csr.copy()
b = x_csr**2
gauss_seidel_ne(A,x_csr,b)
for D in divisors:
B = A.tobsr(blocksize=(D,D))
x_bsr_temp = x_bsr.copy()
gauss_seidel_ne(B,x_bsr_temp,b)
assert_almost_equal(x_bsr_temp,x_csr)
def test_gauss_seidel_ne_new(self):
scipy.random.seed(0)
cases = []
A = poisson( (4,), format='csr' ); A.data = A.data + 1.0j*1e-3*rand(A.data.shape[0],)
cases.append(A)
A = poisson( (4,4), format='csr' ); A.data = A.data + 1.0j*1e-3*rand(A.data.shape[0],)
cases.append(A.tobsr(blocksize=(2,2)))
temp = asmatrix( rand(4,4) ) + 1.0j*asmatrix( rand(4,4) )
cases.append( csr_matrix( temp.T * temp) )
# reference implementation
def gold(A,x,b,iterations,sweep):
A = mat(A.todense())
AA = A*A.H
L = tril(AA,k=0)
U = triu(AA,k=0)
for i in range(iterations):
if sweep == 'forward':
x = x + A.H*(solve(L, (b - A*x) ))
elif sweep == 'backward':
x = x + A.H*(solve(U, (b - A*x) ))
else:
x = x + A.H*(solve(L, (b - A*x) ))
x = x + A.H*(solve(U, (b - A*x) ))
return x
for A in cases:
b = asmatrix(rand(A.shape[0],1)) + 1.0j*asmatrix(rand(A.shape[0],1)).astype(A.dtype)
x = asmatrix(rand(A.shape[0],1)) + 1.0j*asmatrix(rand(A.shape[0],1)).astype(A.dtype)
x_copy = x.copy()
gauss_seidel_ne(A, x, b, iterations=1, sweep='forward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='forward') )
x_copy = x.copy()
gauss_seidel_ne(A, x, b, iterations=1, sweep='backward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='backward') )
x_copy = x.copy()
gauss_seidel_ne(A, x, b, iterations=1, sweep='symmetric')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='symmetric') )
def test_gauss_seidel_ne_csr(self):
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
A.data = A.data + 1.0j*A.data
b = zeros(N).astype(A.dtype)
gauss_seidel_ne(A,x,b)
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
soln = array([4./15., 8./5., 4./5.])
soln = soln + 1.0j*soln
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = zeros(N).astype(A.dtype)
gauss_seidel_ne(A,x,b)
assert_almost_equal(x,soln)
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = zeros(N).astype(A.dtype)
gauss_seidel_ne(A,x,b,sweep='backward')
assert_almost_equal(x,array([0]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
soln = array([2./5., 4./5., 6./5.])
soln = soln + 1.0j*soln
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = zeros(N).astype(A.dtype)
gauss_seidel_ne(A,x,b,sweep='backward')
assert_almost_equal(x,soln)
N = 1
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = arange(N).astype(A.dtype)
b = array([10]).astype(A.dtype)
gauss_seidel_ne(A,x,b)
assert_almost_equal(x,array([2.5 - 2.5j]))
N = 3
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
soln = array([-1./15.+0.6j, 0.6+2.6j, 7.8-6.2j])
x = arange(N).astype(A.dtype)
x = x + 1.0j*x
b = array([10,20,30]).astype(A.dtype)
gauss_seidel_ne(A,x,b)
assert_almost_equal(x,soln)
#forward and backward passes should give same result with x=ones(N),b=zeros(N)
N = 100
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = ones(N).astype(A.dtype)
x = x + 1.0j*x
b = zeros(N).astype(A.dtype)
gauss_seidel_ne(A,x,b,iterations=200,sweep='forward')
resid1 = numpy.linalg.norm(A*x,2)
x = ones(N).astype(A.dtype)
x = x + 1.0j*x
gauss_seidel_ne(A,x,b,iterations=200,sweep='backward')
resid2 = numpy.linalg.norm(A*x,2)
self.assert_(resid1 < 0.3 and resid2 < 0.3)
self.assert_(allclose(resid1,resid2))
def test_gauss_seidel_nr_bsr(self):
cases = []
for N in [1,2,3,4,5,6,10]:
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N).tocsr()
A.data = A.data + 1.0j*1e-3*rand(A.data.shape[0],)
divisors = [ n for n in range(1,N+1) if N % n == 0 ]
x_csr = (arange(N) + 1.0j*1e-3*rand(N,)).astype(A.dtype)
x_bsr = x_csr.copy()
b = x_csr**2
gauss_seidel_nr(A,x_csr,b)
for D in divisors:
B = A.tobsr(blocksize=(D,D))
x_bsr_temp = x_bsr.copy()
gauss_seidel_nr(B,x_bsr_temp,b)
assert_almost_equal(x_bsr_temp,x_csr)
def test_gauss_seidel_nr(self):
scipy.random.seed(0)
cases = []
A = poisson( (4,), format='csr' ); A.data = A.data + 1.0j*1e-3*rand(A.data.shape[0],)
cases.append(A)
A = poisson( (4,4), format='csr' ); A.data = A.data + 1.0j*1e-3*rand(A.data.shape[0],)
cases.append(A.tobsr(blocksize=(2,2)))
temp = asmatrix( rand(1,1) ) + 1.0j*asmatrix( rand(1,1) )
cases.append( csr_matrix( temp) )
temp = asmatrix( rand(2,2) ) + 1.0j*asmatrix( rand(2,2) )
cases.append( csr_matrix( temp) )
temp = asmatrix( rand(4,4) ) + 1.0j*asmatrix( rand(4,4) )
cases.append( csr_matrix( temp) )
# reference implementation
def gold(A,x,b,iterations,sweep):
A = mat(A.todense())
AA = A.H*A
L = tril(AA,k=0)
U = triu(AA,k=0)
for i in range(iterations):
if sweep == 'forward':
x = x + (solve(L, A.H*(b - A*x) ))
elif sweep == 'backward':
x = x + (solve(U, A.H*(b - A*x) ))
else:
x = x + (solve(L, A.H*(b - A*x) ))
x = x + (solve(U, A.H*(b - A*x) ))
return x
for A in cases:
b = asmatrix(rand(A.shape[0],1)) + 1.0j*asmatrix(rand(A.shape[0],1)).astype(A.dtype)
x = asmatrix(rand(A.shape[0],1)) + 1.0j*asmatrix(rand(A.shape[0],1)).astype(A.dtype)
x_copy = x.copy()
gauss_seidel_nr(A, x, b, iterations=1, sweep='forward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='forward') )
x_copy = x.copy()
gauss_seidel_nr(A, x, b, iterations=1, sweep='backward')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='backward') )
x_copy = x.copy()
gauss_seidel_nr(A, x, b, iterations=1, sweep='symmetric')
assert_almost_equal( x, gold(A,x_copy,b,iterations=1,sweep='symmetric') )
#forward and backward passes should give same result with x=ones(N),b=zeros(N)
N = 100
A = spdiags([2*ones(N),-ones(N),-ones(N)],[0,-1,1],N,N,format='csr')
A.data = A.data + 1.0j*A.data
x = ones(N).astype(A.dtype)
x = x + 1.0j*x
b = zeros(N).astype(A.dtype)
gauss_seidel_nr(A,x,b,iterations=200,sweep='forward')
resid1 = numpy.linalg.norm(A*x,2)
x = ones(N).astype(A.dtype)
x = x + 1.0j*x
gauss_seidel_nr(A,x,b,iterations=200,sweep='backward')
resid2 = numpy.linalg.norm(A*x,2)
self.assert_(resid1 < 0.3 and resid2 < 0.3)
self.assert_(allclose(resid1,resid2))
# Test both complex and real arithmetic
# for block_jacobi and block_gauss_seidel
class TestBlockRelaxation(TestCase):
def test_block_jacobi(self):
scipy.random.seed(0)
# All real valued tests
cases = []
A = csr_matrix(scipy.zeros((1,1)))
cases.append( (A,1) )
A = csr_matrix(scipy.rand(1,1))
cases.append( (A,1) )
A = csr_matrix(scipy.zeros((2,2)))
cases.append( (A,1) )
cases.append( (A,2) )
A = csr_matrix(scipy.rand(2,2))
cases.append( (A,1) )
cases.append( (A,2) )
A = csr_matrix(scipy.zeros((3,3)))
cases.append( (A,1) )
cases.append( (A,3) )
A = csr_matrix(scipy.rand(3,3))
cases.append( (A,1) )
cases.append( (A,3) )
A = poisson( (4,4), format='csr')
cases.append( (A,1) )
cases.append( (A,2) )
cases.append( (A,4) )
A = array([[ 9.1, 9.8, 9.6, 0. , 3.6, 0. ],
[18.2, 19.6, 0. , 0. , 1.7, 2.8],
[ 0. , 0. , 0. , 0. , 0. , 0. ],
[ 0. , 0. , 0. , 0. , 0. , 0. ],
[ 0. , 0. , 0. , 4.2, 1. , 1.1],
[ 0. , 0. , 9.1, 0. , 0. , 9.3]])
A = csr_matrix(A)
cases.append( (A,1) )
cases.append( (A,2) )
cases.append( (A,3) )
# reference implementation of 1 iteration
def gold(A,x,b,blocksize,omega):
A = csr_matrix(A)
temp = x.copy()
Dinv = get_block_diag(A, blocksize=blocksize, inv_flag=True)
D = get_block_diag(A, blocksize=blocksize, inv_flag=False)
A_no_D = A - bsr_matrix( (D, scipy.arange(Dinv.shape[0]), scipy.arange(Dinv.shape[0] + 1)), shape=A.shape)
A_no_D = csr_matrix(A_no_D)
for i in range(0, A.shape[0], blocksize):
r = A_no_D[i:(i+blocksize),:]*temp
r = scipy.mat(Dinv[i/blocksize,:,:])*scipy.mat(scipy.ravel(b[i:(i+blocksize)]) - scipy.ravel(r)).reshape(-1,1)
x[i:(i+blocksize)] = (1.0 - omega)*temp[i:(i+blocksize)] + omega*scipy.ravel(r)
return x
for A,blocksize in cases:
b = rand(A.shape[0])
x = rand(A.shape[0])
x_copy = x.copy()
block_jacobi(A, x, b, blocksize=blocksize, iterations=1, omega=1.1)
assert_almost_equal( x, gold(A, x_copy, b, blocksize, 1.1), decimal=4 )
# check for agreement between jacobi and block jacobi with blocksize=1
A = poisson( (4,5), format='csr')
b = rand(A.shape[0])
x = rand(A.shape[0])
x_copy = x.copy()
block_jacobi(A, x, b, blocksize=1, iterations=2, omega=1.1)
jacobi(A, x_copy, b, iterations=2, omega=1.1)
assert_almost_equal( x, x_copy, decimal=4 )
# complex valued tests
cases = []
A = csr_matrix(scipy.rand(3,3) + 1.0j*scipy.rand(3,3))
cases.append( (A,1) )
cases.append( (A,3) )
A = poisson( (4,4), format='csr')
A.data = A.data + 1.0j*scipy.rand(A.data.shape[0])
cases.append( (A,1) )
cases.append( (A,2) )
cases.append( (A,4) )
A = array([[ 9.1j, 9.8j, 9.6, 0. , 3.6, 0. ],
[18.2j, 19.6j, 0. , 0. , 1.7, 2.8],
[ 0. , 0. , 0. , 0. , 0. , 0. ],
[ 0. , 0. , 0. , 0. , 0. , 0. ],
[ 0. , 0. , 0. , 4.2, 1.0j, 1.1],
[ 0. , 0. , 9.1, 0. , 0. , 9.3]])
A = csr_matrix(A)
cases.append( (A,1) )
cases.append( (A,2) )
cases.append( (A,3) )
for A,blocksize in cases:
b = rand(A.shape[0]) + 1.0j*rand(A.shape[0])
x = rand(A.shape[0]) + 1.0j*rand(A.shape[0])
x_copy = x.copy()
block_jacobi(A, x, b, blocksize=blocksize, iterations=1, omega=1.1)
assert_almost_equal( x, gold(A, x_copy, b, blocksize, 1.1), decimal=4 )
def test_block_gauss_seidel(self):
scipy.random.seed(0)
# All real valued tests
cases = []
A = csr_matrix(scipy.zeros((1,1)))
cases.append( (A,1) )
A = csr_matrix(scipy.rand(1,1))
cases.append( (A,1) )
A = csr_matrix(scipy.zeros((2,2)))
cases.append( (A,1) )
cases.append( (A,2) )
A = csr_matrix(scipy.rand(2,2))
cases.append( (A,1) )
cases.append( (A,2) )
A = csr_matrix(scipy.zeros((3,3)))
cases.append( (A,1) )
cases.append( (A,3) )
A = csr_matrix(scipy.rand(3,3))
cases.append( (A,1) )
cases.append( (A,3) )
A = poisson( (4,4), format='csr')
cases.append( (A,1) )
cases.append( (A,2) )
cases.append( (A,4) )
A = array([[ 9.1, 9.8, 9.6, 0. , 3.6, 0. ],
[18.2, 19.6, 0. , 0. , 1.7, 2.8],
[ 0. , 0. , 0. , 0. , 0. , 0. ],
[ 0. , 0. , 0. , 0. , 0. , 0. ],
[ 0. , 0. , 0. , 4.2, 1. , 1.1],
[ 0. , 0. , 9.1, 0. , 0. , 9.3]])
A = csr_matrix(A)
cases.append( (A,1) )
cases.append( (A,2) )
cases.append( (A,3) )
# reference implementation of 1 iteration
def gold(A, x, b, blocksize, sweep):
A = csr_matrix(A)
Dinv = get_block_diag(A, blocksize=blocksize, inv_flag=True)
D = get_block_diag(A, blocksize=blocksize, inv_flag=False)
A_no_D = A - bsr_matrix( (D, scipy.arange(Dinv.shape[0]), scipy.arange(Dinv.shape[0] + 1)), shape=A.shape)
A_no_D = csr_matrix(A_no_D)
if sweep == 'symmetric':
x = gold(A, x, b, blocksize, 'forward')
x = gold(A, x, b, blocksize, 'backward')
return x
elif sweep == 'forward':
start,stop,step = (0, A.shape[0], blocksize)
elif sweep == 'backward':
start,stop,step = (A.shape[0] - blocksize, -blocksize, -blocksize)
for i in range(start, stop, step):
r = A_no_D[i:(i+blocksize),:]*x
r = scipy.mat(Dinv[i/blocksize,:,:])*scipy.mat(scipy.ravel(b[i:(i+blocksize)]) - scipy.ravel(r)).reshape(-1,1)
x[i:(i+blocksize)] = scipy.ravel(r)
return x
for A,blocksize in cases:
b = rand(A.shape[0])
# forward
x = rand(A.shape[0])
x_copy = x.copy()
block_gauss_seidel(A, x, b, iterations=1, sweep='forward', blocksize=blocksize)
assert_almost_equal( x, gold(A, x_copy, b, blocksize, 'forward'), decimal=4 )
# backward
x = rand(A.shape[0])
x_copy = x.copy()
block_gauss_seidel(A, x, b, iterations=1, sweep='backward', blocksize=blocksize)
assert_almost_equal( x, gold(A, x_copy, b, blocksize, 'backward'), decimal=4 )
# symmetric
x = rand(A.shape[0])
x_copy = x.copy()
block_gauss_seidel(A, x, b, iterations=1, sweep='symmetric', blocksize=blocksize)
assert_almost_equal( x, gold(A, x_copy, b, blocksize, 'symmetric'), decimal=4 )
# check for aggreement between gauss_seidel and block gauss-seidel with blocksize=1
A = poisson( (4,5), format='csr')
b = rand(A.shape[0])
# forward
x = rand(A.shape[0])
x_copy = x.copy()
block_gauss_seidel(A, x, b, iterations=2, sweep='forward', blocksize=1)
gauss_seidel(A, x_copy, b, iterations=2, sweep='forward')
assert_almost_equal( x, x_copy, decimal=4 )
# backward
x = rand(A.shape[0])
x_copy = x.copy()
block_gauss_seidel(A, x, b, iterations=2, sweep='backward', blocksize=1)
gauss_seidel(A, x_copy, b, iterations=2, sweep='backward')
assert_almost_equal( x, x_copy, decimal=4 )
# symmetric
x = rand(A.shape[0])
x_copy = x.copy()
block_gauss_seidel(A, x, b, iterations=2, sweep='symmetric', blocksize=1)
gauss_seidel(A, x_copy, b, iterations=2, sweep='symmetric')
assert_almost_equal( x, x_copy, decimal=4 )
# complex valued tests
cases = []
A = csr_matrix(scipy.rand(3,3) + 1.0j*scipy.rand(3,3))
cases.append( (A,1) )
cases.append( (A,3) )
A = poisson( (4,4), format='csr')
A.data = A.data + 1.0j*scipy.rand(A.data.shape[0])
cases.append( (A,1) )
cases.append( (A,2) )
cases.append( (A,4) )
A = array([[ 9.1j, 9.8j, 9.6, 0. , 3.6, 0. ],
[18.2j, 19.6j, 0. , 0. , 1.7, 2.8],
[ 0. , 0. , 0. , 0. , 0. , 0. ],
[ 0. , 0. , 0. , 0. , 0. , 0. ],
[ 0. , 0. , 0. , 4.2, 1.0j, 1.1],
[ 0. , 0. , 9.1, 0. , 0. , 9.3]])
A = csr_matrix(A)
cases.append( (A,1) )
cases.append( (A,2) )
cases.append( (A,3) )
for A,blocksize in cases:
b = rand(A.shape[0]) + 1.0j*rand(A.shape[0])
# forward
x = rand(A.shape[0]) + 1.0j*rand(A.shape[0])
x_copy = x.copy()
block_gauss_seidel(A, x, b, iterations=1, sweep='forward', blocksize=blocksize)
assert_almost_equal( x, gold(A, x_copy, b, blocksize, 'forward'), decimal=4 )
# backward
x = rand(A.shape[0]) + 1.0j*rand(A.shape[0])
x_copy = x.copy()
block_gauss_seidel(A, x, b, iterations=1, sweep='backward', blocksize=blocksize)
assert_almost_equal( x, gold(A, x_copy, b, blocksize, 'backward'), decimal=4 )
# symmetric
x = rand(A.shape[0]) + 1.0j*rand(A.shape[0])
x_copy = x.copy()
block_gauss_seidel(A, x, b, iterations=1, sweep='symmetric', blocksize=blocksize)
assert_almost_equal( x, gold(A, x_copy, b, blocksize, 'symmetric'), decimal=4 )
#class TestDispatch(TestCase):
# def test_string(self):
# from pyamg.relaxation import dispatch
#
# A = poisson( (4,), format='csr')
#
# cases = []
# cases.append( 'gauss_seidel' )
# cases.append( ('gauss_seidel',{'iterations':3}) )
#
# for case in cases:
# fn = dispatch(case)
# fn(A, ones(4), zeros(4))
| 37.347716 | 129 | 0.494258 | 9,075 | 58,860 | 3.123967 | 0.027438 | 0.040564 | 0.044444 | 0.049383 | 0.92455 | 0.914004 | 0.901658 | 0.894427 | 0.882787 | 0.872981 | 0 | 0.058231 | 0.325161 | 58,860 | 1,575 | 130 | 37.371429 | 0.655497 | 0.036714 | 0 | 0.8711 | 0 | 0 | 0.023111 | 0 | 0 | 0 | 0 | 0 | 0.106732 | 1 | 0.036946 | false | 0 | 0.009031 | 0 | 0.058292 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
29f143feba8081ea927458c4b88f269fcfda78dd | 176 | py | Python | assignment1/classifiers/__init__.py | sunyihuan326/cs231n_learning | fc97e1516e5a735d4d75069071d35ebf0722b5ee | [
"MIT"
] | null | null | null | assignment1/classifiers/__init__.py | sunyihuan326/cs231n_learning | fc97e1516e5a735d4d75069071d35ebf0722b5ee | [
"MIT"
] | null | null | null | assignment1/classifiers/__init__.py | sunyihuan326/cs231n_learning | fc97e1516e5a735d4d75069071d35ebf0722b5ee | [
"MIT"
] | null | null | null | # coding:utf-8
'''
Created on 2018/1/2
@author: sunyihuan
'''
from assignment1.classifiers.k_nearest_neighbor import *
from assignment1.classifiers.linear_classifier import *
| 19.555556 | 56 | 0.789773 | 23 | 176 | 5.913043 | 0.826087 | 0.220588 | 0.382353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056962 | 0.102273 | 176 | 8 | 57 | 22 | 0.803797 | 0.301136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
d9ce61513e35fdd0d81514e57210f98ea0a05447 | 60,932 | py | Python | comparisons_among_different_model_formulations/on_MORPH2/DOEL_2groups_resnet18/train_6_1.py | Xiejiu/second_age_estimation | 89e9ef371a07aba0bbba496697176381e4e9432c | [
"MIT"
] | 1 | 2021-09-27T06:34:03.000Z | 2021-09-27T06:34:03.000Z | comparisons_among_different_model_formulations/on_MORPH2/DOEL_2groups_resnet18/train_6_1.py | Xiejiu/second_age_estimation | 89e9ef371a07aba0bbba496697176381e4e9432c | [
"MIT"
] | 1 | 2021-07-29T01:14:11.000Z | 2021-07-29T01:54:33.000Z | comparisons_among_different_model_formulations/on_MORPH2/DOEL_2groups_resnet18/train_6_1.py | Xiejiu/second_age_estimation | 89e9ef371a07aba0bbba496697176381e4e9432c | [
"MIT"
] | 1 | 2021-09-27T07:14:48.000Z | 2021-09-27T07:14:48.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 27 19:52:38 2019
@author: xjc
"""
import math
import numpy as np
import fire
import os
import time
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import models, transforms
from Dataset_folder import Dataset_floder as data_prepare
from ensemble_learning_resnet_two_group_morph2 import el_resnet18
import torch.utils.model_zoo as model_zoo
model_urls = {
'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth',
'resnet34': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth',
'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth',
'resnet101': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth',
'resnet152': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth',
}
class AverageMeter(object):
"""
Computes and stores the average and current value
Copied from: https://github.com/pytorch/examples/blob/master/imagenet/main.py
"""
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
def train(model, loader, optimizer, epoch, n_epochs, device, print_freq=1):
batch_time = AverageMeter()
total_loss=AverageMeter()
argmax_MAE=AverageMeter()
accuracy=AverageMeter()
# Model on train mode
model.train()
end = time.time()
for batch_idx, (input, target) in enumerate(loader):
# Create vaiables
input_var, target_var = input.to(device), target.to(device)
# compute output
output = model(input_var)
batch_size=target.size(0)
cross_entropy_term_1 = torch.nn.functional.cross_entropy(output[:,0:2], target_var[:,0])
cross_entropy_term_2 = torch.nn.functional.cross_entropy(output[:,2:4], target_var[:,1])
cross_entropy_term_3 = torch.nn.functional.cross_entropy(output[:,4:6], target_var[:,2])
cross_entropy_term_4 = torch.nn.functional.cross_entropy(output[:,6:8], target_var[:,3])
cross_entropy_term_5 = torch.nn.functional.cross_entropy(output[:,8:10], target_var[:,4])
cross_entropy_term_6 = torch.nn.functional.cross_entropy(output[:,10:12], target_var[:,5])
cross_entropy_term_7 = torch.nn.functional.cross_entropy(output[:,12:14], target_var[:,6])
cross_entropy_term_8 = torch.nn.functional.cross_entropy(output[:,14:16], target_var[:,7])
cross_entropy_term_9 = torch.nn.functional.cross_entropy(output[:,16:18], target_var[:,8])
cross_entropy_term_10 = torch.nn.functional.cross_entropy(output[:,18:20], target_var[:,9])
cross_entropy_term_11 = torch.nn.functional.cross_entropy(output[:,20:22], target_var[:,10])
cross_entropy_term_12 = torch.nn.functional.cross_entropy(output[:,22:24], target_var[:,11])
cross_entropy_term_13 = torch.nn.functional.cross_entropy(output[:,24:26], target_var[:,12])
cross_entropy_term_14 = torch.nn.functional.cross_entropy(output[:,26:28], target_var[:,13])
cross_entropy_term_15 = torch.nn.functional.cross_entropy(output[:,28:30], target_var[:,14])
cross_entropy_term_16 = torch.nn.functional.cross_entropy(output[:,30:32], target_var[:,15])
cross_entropy_term_17 = torch.nn.functional.cross_entropy(output[:,32:34], target_var[:,16])
cross_entropy_term_18 = torch.nn.functional.cross_entropy(output[:,34:36], target_var[:,17])
cross_entropy_term_19 = torch.nn.functional.cross_entropy(output[:,36:38], target_var[:,18])
cross_entropy_term_20 = torch.nn.functional.cross_entropy(output[:,38:40], target_var[:,19])
cross_entropy_term_21 = torch.nn.functional.cross_entropy(output[:,40:42], target_var[:,20])
cross_entropy_term_22 = torch.nn.functional.cross_entropy(output[:,42:44], target_var[:,21])
cross_entropy_term_23 = torch.nn.functional.cross_entropy(output[:,44:46], target_var[:,22])
cross_entropy_term_24 = torch.nn.functional.cross_entropy(output[:,46:48], target_var[:,23])
cross_entropy_term_25 = torch.nn.functional.cross_entropy(output[:,48:50], target_var[:,24])
cross_entropy_term_26 = torch.nn.functional.cross_entropy(output[:,50:52], target_var[:,25])
cross_entropy_term_27 = torch.nn.functional.cross_entropy(output[:,52:54], target_var[:,26])
cross_entropy_term_28 = torch.nn.functional.cross_entropy(output[:,54:56], target_var[:,27])
cross_entropy_term_29 = torch.nn.functional.cross_entropy(output[:,56:58], target_var[:,28])
cross_entropy_term_30 = torch.nn.functional.cross_entropy(output[:,58:60], target_var[:,29])
cross_entropy_term_31 = torch.nn.functional.cross_entropy(output[:,60:62], target_var[:,30])
cross_entropy_term_32 = torch.nn.functional.cross_entropy(output[:,62:64], target_var[:,31])
cross_entropy_term_33 = torch.nn.functional.cross_entropy(output[:,64:66], target_var[:,32])
cross_entropy_term_34 = torch.nn.functional.cross_entropy(output[:,66:68], target_var[:,33])
cross_entropy_term_35 = torch.nn.functional.cross_entropy(output[:,68:70], target_var[:,34])
cross_entropy_term_36 = torch.nn.functional.cross_entropy(output[:,70:72], target_var[:,35])
cross_entropy_term_37 = torch.nn.functional.cross_entropy(output[:,72:74], target_var[:,36])
cross_entropy_term_38 = torch.nn.functional.cross_entropy(output[:,74:76], target_var[:,37])
cross_entropy_term_39 = torch.nn.functional.cross_entropy(output[:,76:78], target_var[:,38])
cross_entropy_term_40 = torch.nn.functional.cross_entropy(output[:,78:80], target_var[:,39])
cross_entropy_term_41 = torch.nn.functional.cross_entropy(output[:,80:82], target_var[:,40])
cross_entropy_term_42 = torch.nn.functional.cross_entropy(output[:,82:84], target_var[:,41])
cross_entropy_term_43 = torch.nn.functional.cross_entropy(output[:,84:86], target_var[:,42])
cross_entropy_term_44 = torch.nn.functional.cross_entropy(output[:,86:88], target_var[:,43])
cross_entropy_term_45 = torch.nn.functional.cross_entropy(output[:,88:90], target_var[:,44])
cross_entropy_term_46 = torch.nn.functional.cross_entropy(output[:,90:92], target_var[:,45])
cross_entropy_term_47 = torch.nn.functional.cross_entropy(output[:,92:94], target_var[:,46])
cross_entropy_term_48 = torch.nn.functional.cross_entropy(output[:,94:96], target_var[:,47])
cross_entropy_term_49 = torch.nn.functional.cross_entropy(output[:,96:98], target_var[:,48])
cross_entropy_term_50 = torch.nn.functional.cross_entropy(output[:,98:100], target_var[:,49])
cross_entropy_term_51 = torch.nn.functional.cross_entropy(output[:,100:102], target_var[:,50])
cross_entropy_term_52 = torch.nn.functional.cross_entropy(output[:,102:104], target_var[:,51])
cross_entropy_term_53 = torch.nn.functional.cross_entropy(output[:,104:106], target_var[:,52])
cross_entropy_term_54 = torch.nn.functional.cross_entropy(output[:,106:108], target_var[:,53])
cross_entropy_term_55 = torch.nn.functional.cross_entropy(output[:,108:110], target_var[:,54])
cross_entropy_term_56 = torch.nn.functional.cross_entropy(output[:,110:112], target_var[:,55])
cross_entropy_term_57 = torch.nn.functional.cross_entropy(output[:,112:114], target_var[:,56])
cross_entropy_term_58 = torch.nn.functional.cross_entropy(output[:,114:116], target_var[:,57])
cross_entropy_term_59 = torch.nn.functional.cross_entropy(output[:,116:118], target_var[:,58])
cross_entropy_term_60 = torch.nn.functional.cross_entropy(output[:,118:120], target_var[:,59])
cross_entropy_term_61 = torch.nn.functional.cross_entropy(output[:,120:122], target_var[:,60])
cross_entropy_term_62 = torch.nn.functional.cross_entropy(output[:,122:124], target_var[:,61])
cross_entropy_term_63 = torch.nn.functional.cross_entropy(output[:,124:126], target_var[:,62])
cross_entropy_term_64 = torch.nn.functional.cross_entropy(output[:,126:128], target_var[:,63])
cross_entropy_term_65 = torch.nn.functional.cross_entropy(output[:,128:130], target_var[:,64])
cross_entropy_term_66 = torch.nn.functional.cross_entropy(output[:,130:132], target_var[:,65])
cross_entropy_term_67 = torch.nn.functional.cross_entropy(output[:,132:134], target_var[:,66])
cross_entropy_term_68 = torch.nn.functional.cross_entropy(output[:,134:136], target_var[:,67])
cross_entropy_term_69 = torch.nn.functional.cross_entropy(output[:,136:138], target_var[:,68])
cross_entropy_term_70 = torch.nn.functional.cross_entropy(output[:,138:140], target_var[:,69])
cross_entropy_term_71 = torch.nn.functional.cross_entropy(output[:,140:142], target_var[:,70])
cross_entropy_term_72 = torch.nn.functional.cross_entropy(output[:,142:144], target_var[:,71])
cross_entropy_term_73 = torch.nn.functional.cross_entropy(output[:,144:146], target_var[:,72])
cross_entropy_term_74 = torch.nn.functional.cross_entropy(output[:,146:148], target_var[:,73])
cross_entropy_term_75 = torch.nn.functional.cross_entropy(output[:,148:150], target_var[:,74])
cross_entropy_term_76 = torch.nn.functional.cross_entropy(output[:,150:152], target_var[:,75])
cross_entropy_term_77 = torch.nn.functional.cross_entropy(output[:,152:154], target_var[:,76])
cross_entropy_term_78 = torch.nn.functional.cross_entropy(output[:,154:156], target_var[:,77])
cross_entropy_term_79 = torch.nn.functional.cross_entropy(output[:,156:158], target_var[:,78])
cross_entropy_term_80 = torch.nn.functional.cross_entropy(output[:,158:160], target_var[:,79])
cross_entropy_term_81 = torch.nn.functional.cross_entropy(output[:,160:162], target_var[:,80])
cross_entropy_term_82 = torch.nn.functional.cross_entropy(output[:,162:164], target_var[:,81])
cross_entropy_term_83 = torch.nn.functional.cross_entropy(output[:,164:166], target_var[:,82])
cross_entropy_term_84 = torch.nn.functional.cross_entropy(output[:,166:168], target_var[:,83])
cross_entropy_term_85 = torch.nn.functional.cross_entropy(output[:,168:170], target_var[:,84])
cross_entropy_term_86 = torch.nn.functional.cross_entropy(output[:,170:172], target_var[:,85])
cross_entropy_term_87 = torch.nn.functional.cross_entropy(output[:,172:174], target_var[:,86])
cross_entropy_term_88 = torch.nn.functional.cross_entropy(output[:,174:176], target_var[:,87])
cross_entropy_term_89 = torch.nn.functional.cross_entropy(output[:,176:178], target_var[:,88])
cross_entropy_term_90 = torch.nn.functional.cross_entropy(output[:,178:180], target_var[:,89])
cross_entropy_term_91 = torch.nn.functional.cross_entropy(output[:,180:182], target_var[:,90])
cross_entropy_term_92 = torch.nn.functional.cross_entropy(output[:,182:184], target_var[:,91])
cross_entropy_term_93 = torch.nn.functional.cross_entropy(output[:,184:186], target_var[:,92])
cross_entropy_term_94 = torch.nn.functional.cross_entropy(output[:,186:188], target_var[:,93])
cross_entropy_term_95 = torch.nn.functional.cross_entropy(output[:,188:190], target_var[:,94])
cross_entropy_term_96 = torch.nn.functional.cross_entropy(output[:,190:192], target_var[:,95])
cross_entropy_term_97 = torch.nn.functional.cross_entropy(output[:,192:194], target_var[:,96])
cross_entropy_term_98 = torch.nn.functional.cross_entropy(output[:,194:196], target_var[:,97])
cross_entropy_term_99 = torch.nn.functional.cross_entropy(output[:,196:198], target_var[:,98])
cross_entropy_term_100 = torch.nn.functional.cross_entropy(output[:,198:200], target_var[:,99])
total_cross_entropy_term=(cross_entropy_term_1+cross_entropy_term_2+cross_entropy_term_3+cross_entropy_term_4+cross_entropy_term_5+
cross_entropy_term_6+cross_entropy_term_7+cross_entropy_term_8+cross_entropy_term_9+cross_entropy_term_10+
cross_entropy_term_11+cross_entropy_term_12+cross_entropy_term_13+cross_entropy_term_14+cross_entropy_term_15+
cross_entropy_term_16+cross_entropy_term_17+cross_entropy_term_18+cross_entropy_term_19+cross_entropy_term_20+
cross_entropy_term_21+cross_entropy_term_22+cross_entropy_term_23+cross_entropy_term_24+cross_entropy_term_25+
cross_entropy_term_26+cross_entropy_term_27+cross_entropy_term_28+cross_entropy_term_29+cross_entropy_term_30+
cross_entropy_term_31+cross_entropy_term_32+cross_entropy_term_33+cross_entropy_term_34+cross_entropy_term_35+
cross_entropy_term_36+cross_entropy_term_37+cross_entropy_term_38+cross_entropy_term_39+cross_entropy_term_40+
cross_entropy_term_41+cross_entropy_term_42+cross_entropy_term_43+cross_entropy_term_44+cross_entropy_term_45+
cross_entropy_term_46+cross_entropy_term_47+cross_entropy_term_48+cross_entropy_term_49+cross_entropy_term_50+
cross_entropy_term_51+cross_entropy_term_52+cross_entropy_term_53+cross_entropy_term_54+cross_entropy_term_55+
cross_entropy_term_56+cross_entropy_term_57+cross_entropy_term_58+cross_entropy_term_59+cross_entropy_term_60+
cross_entropy_term_61+cross_entropy_term_62+cross_entropy_term_63+cross_entropy_term_64+cross_entropy_term_65+
cross_entropy_term_66+cross_entropy_term_67+cross_entropy_term_68+cross_entropy_term_69+cross_entropy_term_70+
cross_entropy_term_71+cross_entropy_term_72+cross_entropy_term_73+cross_entropy_term_74+cross_entropy_term_75+
cross_entropy_term_76+cross_entropy_term_77+cross_entropy_term_78+cross_entropy_term_79+cross_entropy_term_80+
cross_entropy_term_81+cross_entropy_term_82+cross_entropy_term_83+cross_entropy_term_84+cross_entropy_term_85+
cross_entropy_term_86+cross_entropy_term_87+cross_entropy_term_88+cross_entropy_term_89+cross_entropy_term_90+
cross_entropy_term_91+cross_entropy_term_92+cross_entropy_term_93+cross_entropy_term_94+cross_entropy_term_95+
cross_entropy_term_96+cross_entropy_term_97+cross_entropy_term_98+cross_entropy_term_99+cross_entropy_term_100)
loss=total_cross_entropy_term
batch_mae,batch_acc,_=argmax_mae_acc(output.cpu(),target)
total_loss.update(loss.item(), batch_size)
argmax_MAE.update(batch_mae.item(), batch_size)
accuracy.update(batch_acc.item(),batch_size)
# compute gradient and do SGD step
optimizer.zero_grad()
loss.backward()
optimizer.step()
# measure elapsed time
batch_time.update(time.time() - end)
end = time.time()
# # print stats
# if batch_idx % print_freq == 0:
# res = '\t'.join([
# 'Epoch: [%d/%d]' % (epoch + 1, n_epochs),
# 'Iter: [%d/%d]' % (batch_idx + 1, len(loader)),
# 'Time %.3f (%.3f)' % (batch_time.val, batch_time.avg),
# 'total_loss %.4f (%.4f)' % (total_loss.val, total_loss.avg),
# 'cross_entropy_Loss %.4f (%.4f)' % (cross_entropy_loss.val, cross_entropy_loss.avg),
# 'kl_loss %.4f (%.4f)' % (kl_loss.val, kl_loss.avg),
# 'argmax_MAE %.3f (%.3f)' % (argmax_MAE.val, argmax_MAE.avg),
# 'accuracy %.3f (%.3f)' % (accuracy.val, accuracy.avg)
# ])
# print(res)
# Return summary statistics
return batch_time.avg, total_loss.avg, argmax_MAE.avg, accuracy.avg
def validate(model, loader, epoch, n_epochs, device, print_freq=1):
batch_time = AverageMeter()
# cross_entropy_loss=AverageMeter()
# kl_loss=AverageMeter()
total_loss=AverageMeter()
argmax_MAE=AverageMeter()
accuracy=AverageMeter()
# Model on train mode
model.eval()
end = time.time()
with torch.no_grad():
for batch_idx, (input, target) in enumerate(loader):
# Create vaiables
input_var, target_var = input.to(device), target.to(device)
# compute output
output = model(input_var)
batch_size=target.size(0)
cross_entropy_term_1 = torch.nn.functional.cross_entropy(output[:,0:2], target_var[:,0])
cross_entropy_term_2 = torch.nn.functional.cross_entropy(output[:,2:4], target_var[:,1])
cross_entropy_term_3 = torch.nn.functional.cross_entropy(output[:,4:6], target_var[:,2])
cross_entropy_term_4 = torch.nn.functional.cross_entropy(output[:,6:8], target_var[:,3])
cross_entropy_term_5 = torch.nn.functional.cross_entropy(output[:,8:10], target_var[:,4])
cross_entropy_term_6 = torch.nn.functional.cross_entropy(output[:,10:12], target_var[:,5])
cross_entropy_term_7 = torch.nn.functional.cross_entropy(output[:,12:14], target_var[:,6])
cross_entropy_term_8 = torch.nn.functional.cross_entropy(output[:,14:16], target_var[:,7])
cross_entropy_term_9 = torch.nn.functional.cross_entropy(output[:,16:18], target_var[:,8])
cross_entropy_term_10 = torch.nn.functional.cross_entropy(output[:,18:20], target_var[:,9])
cross_entropy_term_11 = torch.nn.functional.cross_entropy(output[:,20:22], target_var[:,10])
cross_entropy_term_12 = torch.nn.functional.cross_entropy(output[:,22:24], target_var[:,11])
cross_entropy_term_13 = torch.nn.functional.cross_entropy(output[:,24:26], target_var[:,12])
cross_entropy_term_14 = torch.nn.functional.cross_entropy(output[:,26:28], target_var[:,13])
cross_entropy_term_15 = torch.nn.functional.cross_entropy(output[:,28:30], target_var[:,14])
cross_entropy_term_16 = torch.nn.functional.cross_entropy(output[:,30:32], target_var[:,15])
cross_entropy_term_17 = torch.nn.functional.cross_entropy(output[:,32:34], target_var[:,16])
cross_entropy_term_18 = torch.nn.functional.cross_entropy(output[:,34:36], target_var[:,17])
cross_entropy_term_19 = torch.nn.functional.cross_entropy(output[:,36:38], target_var[:,18])
cross_entropy_term_20 = torch.nn.functional.cross_entropy(output[:,38:40], target_var[:,19])
cross_entropy_term_21 = torch.nn.functional.cross_entropy(output[:,40:42], target_var[:,20])
cross_entropy_term_22 = torch.nn.functional.cross_entropy(output[:,42:44], target_var[:,21])
cross_entropy_term_23 = torch.nn.functional.cross_entropy(output[:,44:46], target_var[:,22])
cross_entropy_term_24 = torch.nn.functional.cross_entropy(output[:,46:48], target_var[:,23])
cross_entropy_term_25 = torch.nn.functional.cross_entropy(output[:,48:50], target_var[:,24])
cross_entropy_term_26 = torch.nn.functional.cross_entropy(output[:,50:52], target_var[:,25])
cross_entropy_term_27 = torch.nn.functional.cross_entropy(output[:,52:54], target_var[:,26])
cross_entropy_term_28 = torch.nn.functional.cross_entropy(output[:,54:56], target_var[:,27])
cross_entropy_term_29 = torch.nn.functional.cross_entropy(output[:,56:58], target_var[:,28])
cross_entropy_term_30 = torch.nn.functional.cross_entropy(output[:,58:60], target_var[:,29])
cross_entropy_term_31 = torch.nn.functional.cross_entropy(output[:,60:62], target_var[:,30])
cross_entropy_term_32 = torch.nn.functional.cross_entropy(output[:,62:64], target_var[:,31])
cross_entropy_term_33 = torch.nn.functional.cross_entropy(output[:,64:66], target_var[:,32])
cross_entropy_term_34 = torch.nn.functional.cross_entropy(output[:,66:68], target_var[:,33])
cross_entropy_term_35 = torch.nn.functional.cross_entropy(output[:,68:70], target_var[:,34])
cross_entropy_term_36 = torch.nn.functional.cross_entropy(output[:,70:72], target_var[:,35])
cross_entropy_term_37 = torch.nn.functional.cross_entropy(output[:,72:74], target_var[:,36])
cross_entropy_term_38 = torch.nn.functional.cross_entropy(output[:,74:76], target_var[:,37])
cross_entropy_term_39 = torch.nn.functional.cross_entropy(output[:,76:78], target_var[:,38])
cross_entropy_term_40 = torch.nn.functional.cross_entropy(output[:,78:80], target_var[:,39])
cross_entropy_term_41 = torch.nn.functional.cross_entropy(output[:,80:82], target_var[:,40])
cross_entropy_term_42 = torch.nn.functional.cross_entropy(output[:,82:84], target_var[:,41])
cross_entropy_term_43 = torch.nn.functional.cross_entropy(output[:,84:86], target_var[:,42])
cross_entropy_term_44 = torch.nn.functional.cross_entropy(output[:,86:88], target_var[:,43])
cross_entropy_term_45 = torch.nn.functional.cross_entropy(output[:,88:90], target_var[:,44])
cross_entropy_term_46 = torch.nn.functional.cross_entropy(output[:,90:92], target_var[:,45])
cross_entropy_term_47 = torch.nn.functional.cross_entropy(output[:,92:94], target_var[:,46])
cross_entropy_term_48 = torch.nn.functional.cross_entropy(output[:,94:96], target_var[:,47])
cross_entropy_term_49 = torch.nn.functional.cross_entropy(output[:,96:98], target_var[:,48])
cross_entropy_term_50 = torch.nn.functional.cross_entropy(output[:,98:100], target_var[:,49])
cross_entropy_term_51 = torch.nn.functional.cross_entropy(output[:,100:102], target_var[:,50])
cross_entropy_term_52 = torch.nn.functional.cross_entropy(output[:,102:104], target_var[:,51])
cross_entropy_term_53 = torch.nn.functional.cross_entropy(output[:,104:106], target_var[:,52])
cross_entropy_term_54 = torch.nn.functional.cross_entropy(output[:,106:108], target_var[:,53])
cross_entropy_term_55 = torch.nn.functional.cross_entropy(output[:,108:110], target_var[:,54])
cross_entropy_term_56 = torch.nn.functional.cross_entropy(output[:,110:112], target_var[:,55])
cross_entropy_term_57 = torch.nn.functional.cross_entropy(output[:,112:114], target_var[:,56])
cross_entropy_term_58 = torch.nn.functional.cross_entropy(output[:,114:116], target_var[:,57])
cross_entropy_term_59 = torch.nn.functional.cross_entropy(output[:,116:118], target_var[:,58])
cross_entropy_term_60 = torch.nn.functional.cross_entropy(output[:,118:120], target_var[:,59])
cross_entropy_term_61 = torch.nn.functional.cross_entropy(output[:,120:122], target_var[:,60])
cross_entropy_term_62 = torch.nn.functional.cross_entropy(output[:,122:124], target_var[:,61])
cross_entropy_term_63 = torch.nn.functional.cross_entropy(output[:,124:126], target_var[:,62])
cross_entropy_term_64 = torch.nn.functional.cross_entropy(output[:,126:128], target_var[:,63])
cross_entropy_term_65 = torch.nn.functional.cross_entropy(output[:,128:130], target_var[:,64])
cross_entropy_term_66 = torch.nn.functional.cross_entropy(output[:,130:132], target_var[:,65])
cross_entropy_term_67 = torch.nn.functional.cross_entropy(output[:,132:134], target_var[:,66])
cross_entropy_term_68 = torch.nn.functional.cross_entropy(output[:,134:136], target_var[:,67])
cross_entropy_term_69 = torch.nn.functional.cross_entropy(output[:,136:138], target_var[:,68])
cross_entropy_term_70 = torch.nn.functional.cross_entropy(output[:,138:140], target_var[:,69])
cross_entropy_term_71 = torch.nn.functional.cross_entropy(output[:,140:142], target_var[:,70])
cross_entropy_term_72 = torch.nn.functional.cross_entropy(output[:,142:144], target_var[:,71])
cross_entropy_term_73 = torch.nn.functional.cross_entropy(output[:,144:146], target_var[:,72])
cross_entropy_term_74 = torch.nn.functional.cross_entropy(output[:,146:148], target_var[:,73])
cross_entropy_term_75 = torch.nn.functional.cross_entropy(output[:,148:150], target_var[:,74])
cross_entropy_term_76 = torch.nn.functional.cross_entropy(output[:,150:152], target_var[:,75])
cross_entropy_term_77 = torch.nn.functional.cross_entropy(output[:,152:154], target_var[:,76])
cross_entropy_term_78 = torch.nn.functional.cross_entropy(output[:,154:156], target_var[:,77])
cross_entropy_term_79 = torch.nn.functional.cross_entropy(output[:,156:158], target_var[:,78])
cross_entropy_term_80 = torch.nn.functional.cross_entropy(output[:,158:160], target_var[:,79])
cross_entropy_term_81 = torch.nn.functional.cross_entropy(output[:,160:162], target_var[:,80])
cross_entropy_term_82 = torch.nn.functional.cross_entropy(output[:,162:164], target_var[:,81])
cross_entropy_term_83 = torch.nn.functional.cross_entropy(output[:,164:166], target_var[:,82])
cross_entropy_term_84 = torch.nn.functional.cross_entropy(output[:,166:168], target_var[:,83])
cross_entropy_term_85 = torch.nn.functional.cross_entropy(output[:,168:170], target_var[:,84])
cross_entropy_term_86 = torch.nn.functional.cross_entropy(output[:,170:172], target_var[:,85])
cross_entropy_term_87 = torch.nn.functional.cross_entropy(output[:,172:174], target_var[:,86])
cross_entropy_term_88 = torch.nn.functional.cross_entropy(output[:,174:176], target_var[:,87])
cross_entropy_term_89 = torch.nn.functional.cross_entropy(output[:,176:178], target_var[:,88])
cross_entropy_term_90 = torch.nn.functional.cross_entropy(output[:,178:180], target_var[:,89])
cross_entropy_term_91 = torch.nn.functional.cross_entropy(output[:,180:182], target_var[:,90])
cross_entropy_term_92 = torch.nn.functional.cross_entropy(output[:,182:184], target_var[:,91])
cross_entropy_term_93 = torch.nn.functional.cross_entropy(output[:,184:186], target_var[:,92])
cross_entropy_term_94 = torch.nn.functional.cross_entropy(output[:,186:188], target_var[:,93])
cross_entropy_term_95 = torch.nn.functional.cross_entropy(output[:,188:190], target_var[:,94])
cross_entropy_term_96 = torch.nn.functional.cross_entropy(output[:,190:192], target_var[:,95])
cross_entropy_term_97 = torch.nn.functional.cross_entropy(output[:,192:194], target_var[:,96])
cross_entropy_term_98 = torch.nn.functional.cross_entropy(output[:,194:196], target_var[:,97])
cross_entropy_term_99 = torch.nn.functional.cross_entropy(output[:,196:198], target_var[:,98])
cross_entropy_term_100 = torch.nn.functional.cross_entropy(output[:,198:200], target_var[:,99])
total_cross_entropy_term=(cross_entropy_term_1+cross_entropy_term_2+cross_entropy_term_3+cross_entropy_term_4+cross_entropy_term_5+
cross_entropy_term_6+cross_entropy_term_7+cross_entropy_term_8+cross_entropy_term_9+cross_entropy_term_10+
cross_entropy_term_11+cross_entropy_term_12+cross_entropy_term_13+cross_entropy_term_14+cross_entropy_term_15+
cross_entropy_term_16+cross_entropy_term_17+cross_entropy_term_18+cross_entropy_term_19+cross_entropy_term_20+
cross_entropy_term_21+cross_entropy_term_22+cross_entropy_term_23+cross_entropy_term_24+cross_entropy_term_25+
cross_entropy_term_26+cross_entropy_term_27+cross_entropy_term_28+cross_entropy_term_29+cross_entropy_term_30+
cross_entropy_term_31+cross_entropy_term_32+cross_entropy_term_33+cross_entropy_term_34+cross_entropy_term_35+
cross_entropy_term_36+cross_entropy_term_37+cross_entropy_term_38+cross_entropy_term_39+cross_entropy_term_40+
cross_entropy_term_41+cross_entropy_term_42+cross_entropy_term_43+cross_entropy_term_44+cross_entropy_term_45+
cross_entropy_term_46+cross_entropy_term_47+cross_entropy_term_48+cross_entropy_term_49+cross_entropy_term_50+
cross_entropy_term_51+cross_entropy_term_52+cross_entropy_term_53+cross_entropy_term_54+cross_entropy_term_55+
cross_entropy_term_56+cross_entropy_term_57+cross_entropy_term_58+cross_entropy_term_59+cross_entropy_term_60+
cross_entropy_term_61+cross_entropy_term_62+cross_entropy_term_63+cross_entropy_term_64+cross_entropy_term_65+
cross_entropy_term_66+cross_entropy_term_67+cross_entropy_term_68+cross_entropy_term_69+cross_entropy_term_70+
cross_entropy_term_71+cross_entropy_term_72+cross_entropy_term_73+cross_entropy_term_74+cross_entropy_term_75+
cross_entropy_term_76+cross_entropy_term_77+cross_entropy_term_78+cross_entropy_term_79+cross_entropy_term_80+
cross_entropy_term_81+cross_entropy_term_82+cross_entropy_term_83+cross_entropy_term_84+cross_entropy_term_85+
cross_entropy_term_86+cross_entropy_term_87+cross_entropy_term_88+cross_entropy_term_89+cross_entropy_term_90+
cross_entropy_term_91+cross_entropy_term_92+cross_entropy_term_93+cross_entropy_term_94+cross_entropy_term_95+
cross_entropy_term_96+cross_entropy_term_97+cross_entropy_term_98+cross_entropy_term_99+cross_entropy_term_100)
loss=total_cross_entropy_term
batch_mae,batch_acc,_=argmax_mae_acc(output.cpu(),target)
total_loss.update(loss.item(), batch_size)
argmax_MAE.update(batch_mae.item(), batch_size)
accuracy.update(batch_acc.item(),batch_size)
# measure elapsed time
batch_time.update(time.time() - end)
end = time.time()
# # print stats
# if batch_idx % print_freq == 0:
# res = '\t'.join([
# 'Valid',
# 'Iter: [%d/%d]' % (batch_idx + 1, len(loader)),
# 'Time %.3f (%.3f)' % (batch_time.val, batch_time.avg),
# 'total_loss %.4f (%.4f)' % (total_loss.val, total_loss.avg),
# 'cross_entropy_Loss %.4f (%.4f)' % (cross_entropy_loss.val, cross_entropy_loss.avg),
# 'kl_loss %.4f (%.4f)' % (kl_loss.val, kl_loss.avg),
# 'argmax_MAE %.3f (%.3f)' % (argmax_MAE.val, argmax_MAE.avg),
# 'accuracy %.3f (%.3f)' % (accuracy.val, accuracy.avg)
# ])
# print(res)
# Return summary statistics
return batch_time.avg, total_loss.avg, argmax_MAE.avg, accuracy.avg
def test(model, loader, device, model_state_dir, print_freq=1):
batch_time = AverageMeter()
# cross_entropy_loss=AverageMeter()
# kl_loss=AverageMeter()
total_loss=AverageMeter()
argmax_MAE=AverageMeter()
accuracy=AverageMeter()
# Model on train mode
model.eval()
AE_list=[]
predict_age_list=[]
real_age_list=[]
end = time.time()
with torch.no_grad():
for batch_idx, (input, target) in enumerate(loader):
# Create vaiables
input_var, target_var = input.to(device), target.to(device)
# compute output
model.load_state_dict(torch.load(model_state_dir))
output = model(input_var)
batch_size=target.size(0)
cross_entropy_term_1 = torch.nn.functional.cross_entropy(output[:,0:2], target_var[:,0])
cross_entropy_term_2 = torch.nn.functional.cross_entropy(output[:,2:4], target_var[:,1])
cross_entropy_term_3 = torch.nn.functional.cross_entropy(output[:,4:6], target_var[:,2])
cross_entropy_term_4 = torch.nn.functional.cross_entropy(output[:,6:8], target_var[:,3])
cross_entropy_term_5 = torch.nn.functional.cross_entropy(output[:,8:10], target_var[:,4])
cross_entropy_term_6 = torch.nn.functional.cross_entropy(output[:,10:12], target_var[:,5])
cross_entropy_term_7 = torch.nn.functional.cross_entropy(output[:,12:14], target_var[:,6])
cross_entropy_term_8 = torch.nn.functional.cross_entropy(output[:,14:16], target_var[:,7])
cross_entropy_term_9 = torch.nn.functional.cross_entropy(output[:,16:18], target_var[:,8])
cross_entropy_term_10 = torch.nn.functional.cross_entropy(output[:,18:20], target_var[:,9])
cross_entropy_term_11 = torch.nn.functional.cross_entropy(output[:,20:22], target_var[:,10])
cross_entropy_term_12 = torch.nn.functional.cross_entropy(output[:,22:24], target_var[:,11])
cross_entropy_term_13 = torch.nn.functional.cross_entropy(output[:,24:26], target_var[:,12])
cross_entropy_term_14 = torch.nn.functional.cross_entropy(output[:,26:28], target_var[:,13])
cross_entropy_term_15 = torch.nn.functional.cross_entropy(output[:,28:30], target_var[:,14])
cross_entropy_term_16 = torch.nn.functional.cross_entropy(output[:,30:32], target_var[:,15])
cross_entropy_term_17 = torch.nn.functional.cross_entropy(output[:,32:34], target_var[:,16])
cross_entropy_term_18 = torch.nn.functional.cross_entropy(output[:,34:36], target_var[:,17])
cross_entropy_term_19 = torch.nn.functional.cross_entropy(output[:,36:38], target_var[:,18])
cross_entropy_term_20 = torch.nn.functional.cross_entropy(output[:,38:40], target_var[:,19])
cross_entropy_term_21 = torch.nn.functional.cross_entropy(output[:,40:42], target_var[:,20])
cross_entropy_term_22 = torch.nn.functional.cross_entropy(output[:,42:44], target_var[:,21])
cross_entropy_term_23 = torch.nn.functional.cross_entropy(output[:,44:46], target_var[:,22])
cross_entropy_term_24 = torch.nn.functional.cross_entropy(output[:,46:48], target_var[:,23])
cross_entropy_term_25 = torch.nn.functional.cross_entropy(output[:,48:50], target_var[:,24])
cross_entropy_term_26 = torch.nn.functional.cross_entropy(output[:,50:52], target_var[:,25])
cross_entropy_term_27 = torch.nn.functional.cross_entropy(output[:,52:54], target_var[:,26])
cross_entropy_term_28 = torch.nn.functional.cross_entropy(output[:,54:56], target_var[:,27])
cross_entropy_term_29 = torch.nn.functional.cross_entropy(output[:,56:58], target_var[:,28])
cross_entropy_term_30 = torch.nn.functional.cross_entropy(output[:,58:60], target_var[:,29])
cross_entropy_term_31 = torch.nn.functional.cross_entropy(output[:,60:62], target_var[:,30])
cross_entropy_term_32 = torch.nn.functional.cross_entropy(output[:,62:64], target_var[:,31])
cross_entropy_term_33 = torch.nn.functional.cross_entropy(output[:,64:66], target_var[:,32])
cross_entropy_term_34 = torch.nn.functional.cross_entropy(output[:,66:68], target_var[:,33])
cross_entropy_term_35 = torch.nn.functional.cross_entropy(output[:,68:70], target_var[:,34])
cross_entropy_term_36 = torch.nn.functional.cross_entropy(output[:,70:72], target_var[:,35])
cross_entropy_term_37 = torch.nn.functional.cross_entropy(output[:,72:74], target_var[:,36])
cross_entropy_term_38 = torch.nn.functional.cross_entropy(output[:,74:76], target_var[:,37])
cross_entropy_term_39 = torch.nn.functional.cross_entropy(output[:,76:78], target_var[:,38])
cross_entropy_term_40 = torch.nn.functional.cross_entropy(output[:,78:80], target_var[:,39])
cross_entropy_term_41 = torch.nn.functional.cross_entropy(output[:,80:82], target_var[:,40])
cross_entropy_term_42 = torch.nn.functional.cross_entropy(output[:,82:84], target_var[:,41])
cross_entropy_term_43 = torch.nn.functional.cross_entropy(output[:,84:86], target_var[:,42])
cross_entropy_term_44 = torch.nn.functional.cross_entropy(output[:,86:88], target_var[:,43])
cross_entropy_term_45 = torch.nn.functional.cross_entropy(output[:,88:90], target_var[:,44])
cross_entropy_term_46 = torch.nn.functional.cross_entropy(output[:,90:92], target_var[:,45])
cross_entropy_term_47 = torch.nn.functional.cross_entropy(output[:,92:94], target_var[:,46])
cross_entropy_term_48 = torch.nn.functional.cross_entropy(output[:,94:96], target_var[:,47])
cross_entropy_term_49 = torch.nn.functional.cross_entropy(output[:,96:98], target_var[:,48])
cross_entropy_term_50 = torch.nn.functional.cross_entropy(output[:,98:100], target_var[:,49])
cross_entropy_term_51 = torch.nn.functional.cross_entropy(output[:,100:102], target_var[:,50])
cross_entropy_term_52 = torch.nn.functional.cross_entropy(output[:,102:104], target_var[:,51])
cross_entropy_term_53 = torch.nn.functional.cross_entropy(output[:,104:106], target_var[:,52])
cross_entropy_term_54 = torch.nn.functional.cross_entropy(output[:,106:108], target_var[:,53])
cross_entropy_term_55 = torch.nn.functional.cross_entropy(output[:,108:110], target_var[:,54])
cross_entropy_term_56 = torch.nn.functional.cross_entropy(output[:,110:112], target_var[:,55])
cross_entropy_term_57 = torch.nn.functional.cross_entropy(output[:,112:114], target_var[:,56])
cross_entropy_term_58 = torch.nn.functional.cross_entropy(output[:,114:116], target_var[:,57])
cross_entropy_term_59 = torch.nn.functional.cross_entropy(output[:,116:118], target_var[:,58])
cross_entropy_term_60 = torch.nn.functional.cross_entropy(output[:,118:120], target_var[:,59])
cross_entropy_term_61 = torch.nn.functional.cross_entropy(output[:,120:122], target_var[:,60])
cross_entropy_term_62 = torch.nn.functional.cross_entropy(output[:,122:124], target_var[:,61])
cross_entropy_term_63 = torch.nn.functional.cross_entropy(output[:,124:126], target_var[:,62])
cross_entropy_term_64 = torch.nn.functional.cross_entropy(output[:,126:128], target_var[:,63])
cross_entropy_term_65 = torch.nn.functional.cross_entropy(output[:,128:130], target_var[:,64])
cross_entropy_term_66 = torch.nn.functional.cross_entropy(output[:,130:132], target_var[:,65])
cross_entropy_term_67 = torch.nn.functional.cross_entropy(output[:,132:134], target_var[:,66])
cross_entropy_term_68 = torch.nn.functional.cross_entropy(output[:,134:136], target_var[:,67])
cross_entropy_term_69 = torch.nn.functional.cross_entropy(output[:,136:138], target_var[:,68])
cross_entropy_term_70 = torch.nn.functional.cross_entropy(output[:,138:140], target_var[:,69])
cross_entropy_term_71 = torch.nn.functional.cross_entropy(output[:,140:142], target_var[:,70])
cross_entropy_term_72 = torch.nn.functional.cross_entropy(output[:,142:144], target_var[:,71])
cross_entropy_term_73 = torch.nn.functional.cross_entropy(output[:,144:146], target_var[:,72])
cross_entropy_term_74 = torch.nn.functional.cross_entropy(output[:,146:148], target_var[:,73])
cross_entropy_term_75 = torch.nn.functional.cross_entropy(output[:,148:150], target_var[:,74])
cross_entropy_term_76 = torch.nn.functional.cross_entropy(output[:,150:152], target_var[:,75])
cross_entropy_term_77 = torch.nn.functional.cross_entropy(output[:,152:154], target_var[:,76])
cross_entropy_term_78 = torch.nn.functional.cross_entropy(output[:,154:156], target_var[:,77])
cross_entropy_term_79 = torch.nn.functional.cross_entropy(output[:,156:158], target_var[:,78])
cross_entropy_term_80 = torch.nn.functional.cross_entropy(output[:,158:160], target_var[:,79])
cross_entropy_term_81 = torch.nn.functional.cross_entropy(output[:,160:162], target_var[:,80])
cross_entropy_term_82 = torch.nn.functional.cross_entropy(output[:,162:164], target_var[:,81])
cross_entropy_term_83 = torch.nn.functional.cross_entropy(output[:,164:166], target_var[:,82])
cross_entropy_term_84 = torch.nn.functional.cross_entropy(output[:,166:168], target_var[:,83])
cross_entropy_term_85 = torch.nn.functional.cross_entropy(output[:,168:170], target_var[:,84])
cross_entropy_term_86 = torch.nn.functional.cross_entropy(output[:,170:172], target_var[:,85])
cross_entropy_term_87 = torch.nn.functional.cross_entropy(output[:,172:174], target_var[:,86])
cross_entropy_term_88 = torch.nn.functional.cross_entropy(output[:,174:176], target_var[:,87])
cross_entropy_term_89 = torch.nn.functional.cross_entropy(output[:,176:178], target_var[:,88])
cross_entropy_term_90 = torch.nn.functional.cross_entropy(output[:,178:180], target_var[:,89])
cross_entropy_term_91 = torch.nn.functional.cross_entropy(output[:,180:182], target_var[:,90])
cross_entropy_term_92 = torch.nn.functional.cross_entropy(output[:,182:184], target_var[:,91])
cross_entropy_term_93 = torch.nn.functional.cross_entropy(output[:,184:186], target_var[:,92])
cross_entropy_term_94 = torch.nn.functional.cross_entropy(output[:,186:188], target_var[:,93])
cross_entropy_term_95 = torch.nn.functional.cross_entropy(output[:,188:190], target_var[:,94])
cross_entropy_term_96 = torch.nn.functional.cross_entropy(output[:,190:192], target_var[:,95])
cross_entropy_term_97 = torch.nn.functional.cross_entropy(output[:,192:194], target_var[:,96])
cross_entropy_term_98 = torch.nn.functional.cross_entropy(output[:,194:196], target_var[:,97])
cross_entropy_term_99 = torch.nn.functional.cross_entropy(output[:,196:198], target_var[:,98])
cross_entropy_term_100 = torch.nn.functional.cross_entropy(output[:,198:200], target_var[:,99])
total_cross_entropy_term=(cross_entropy_term_1+cross_entropy_term_2+cross_entropy_term_3+cross_entropy_term_4+cross_entropy_term_5+
cross_entropy_term_6+cross_entropy_term_7+cross_entropy_term_8+cross_entropy_term_9+cross_entropy_term_10+
cross_entropy_term_11+cross_entropy_term_12+cross_entropy_term_13+cross_entropy_term_14+cross_entropy_term_15+
cross_entropy_term_16+cross_entropy_term_17+cross_entropy_term_18+cross_entropy_term_19+cross_entropy_term_20+
cross_entropy_term_21+cross_entropy_term_22+cross_entropy_term_23+cross_entropy_term_24+cross_entropy_term_25+
cross_entropy_term_26+cross_entropy_term_27+cross_entropy_term_28+cross_entropy_term_29+cross_entropy_term_30+
cross_entropy_term_31+cross_entropy_term_32+cross_entropy_term_33+cross_entropy_term_34+cross_entropy_term_35+
cross_entropy_term_36+cross_entropy_term_37+cross_entropy_term_38+cross_entropy_term_39+cross_entropy_term_40+
cross_entropy_term_41+cross_entropy_term_42+cross_entropy_term_43+cross_entropy_term_44+cross_entropy_term_45+
cross_entropy_term_46+cross_entropy_term_47+cross_entropy_term_48+cross_entropy_term_49+cross_entropy_term_50+
cross_entropy_term_51+cross_entropy_term_52+cross_entropy_term_53+cross_entropy_term_54+cross_entropy_term_55+
cross_entropy_term_56+cross_entropy_term_57+cross_entropy_term_58+cross_entropy_term_59+cross_entropy_term_60+
cross_entropy_term_61+cross_entropy_term_62+cross_entropy_term_63+cross_entropy_term_64+cross_entropy_term_65+
cross_entropy_term_66+cross_entropy_term_67+cross_entropy_term_68+cross_entropy_term_69+cross_entropy_term_70+
cross_entropy_term_71+cross_entropy_term_72+cross_entropy_term_73+cross_entropy_term_74+cross_entropy_term_75+
cross_entropy_term_76+cross_entropy_term_77+cross_entropy_term_78+cross_entropy_term_79+cross_entropy_term_80+
cross_entropy_term_81+cross_entropy_term_82+cross_entropy_term_83+cross_entropy_term_84+cross_entropy_term_85+
cross_entropy_term_86+cross_entropy_term_87+cross_entropy_term_88+cross_entropy_term_89+cross_entropy_term_90+
cross_entropy_term_91+cross_entropy_term_92+cross_entropy_term_93+cross_entropy_term_94+cross_entropy_term_95+
cross_entropy_term_96+cross_entropy_term_97+cross_entropy_term_98+cross_entropy_term_99+cross_entropy_term_100)
loss=total_cross_entropy_term
# ARGMAX_MAE,acc=argmax_mae_acc(output.cpu(), target)
batch_mae,batch_acc,batch_pred_ages=argmax_mae_acc(output.cpu(), target)
predict_age_list.extend(batch_pred_ages)
real_age_list.extend(target[:,100])
batch_AE=torch.abs(batch_pred_ages-target[:,100])
AE_list.extend(batch_AE)
total_loss.update(loss.item(), batch_size)
argmax_MAE.update(batch_mae.item(), batch_size)
accuracy.update(batch_acc.item(),batch_size)
# measure elapsed time
batch_time.update(time.time() - end)
end = time.time()
# # print stats
# if batch_idx % print_freq == 0:
# res = '\t'.join([
# 'Test',
# 'Iter: [%d/%d]' % (batch_idx + 1, len(loader)),
# 'Time %.3f (%.3f)' % (batch_time.val, batch_time.avg),
# 'total_loss %.4f (%.4f)' % (total_loss.val, total_loss.avg),
# 'cross_entropy_Loss %.4f (%.4f)' % (cross_entropy_loss.val, cross_entropy_loss.avg),
# 'kl_loss %.4f (%.4f)' % (kl_loss.val, kl_loss.avg),
# 'argmax_MAE %.3f (%.3f)' % (argmax_MAE.val, argmax_MAE.avg),
# 'accuracy %.3f (%.3f)' % (accuracy.val, accuracy.avg)
# ])
# print(res)
# Return summary statistics
return batch_time.avg, total_loss.avg, argmax_MAE.avg, accuracy.avg, AE_list, predict_age_list, real_age_list
def argmax_mae_acc(output, target):
"""Computes the precision@k for the specified values of k"""
with torch.no_grad():
batch_size = target.size(0)
true_predict_count=0
for i in range(1,101):
predicted_group=torch.argmax(output[:,2*i-2:2*i],1)
true_predict_count+=torch.sum(torch.eq(predicted_group,target[:,i-1]))
for j in range(batch_size):
predicted_classes=[]
if predicted_group[j]==0:
predicted_g1=1
predicted_g2=0
else:
predicted_g1=0
predicted_g2=1
for k in range(0,i):
predicted_classes.append(predicted_g1)
for l in range(0,101-i):
predicted_classes.append(predicted_g2)
if j==0:
tmp_batch_predicted_classes=torch.tensor(predicted_classes).view(1,-1)
else:
tmp_batch_predicted_classes=torch.cat((tmp_batch_predicted_classes, torch.tensor(predicted_classes).view(1,-1)),0)
if i==1:
batch_predicted_classes=tmp_batch_predicted_classes.unsqueeze(2)
else:
batch_predicted_classes=torch.cat((batch_predicted_classes, tmp_batch_predicted_classes.unsqueeze(2)),2)
predicted_classes_count=torch.sum(batch_predicted_classes,2)
predicted_ages=torch.argmax(predicted_classes_count,1)
mae=torch.sum(torch.abs(predicted_ages-target[:,100])).float()/batch_size
acc=true_predict_count.float().mul_(100.0/(batch_size*100))
return mae, acc, predicted_ages
def demo(data_root, train_list, validate_list, test_list, save, n_epochs=1,
batch_size=64, lr=0.01, wd=0.0005, momentum=0.9, seed=None):
"""
A demo to show off training and testing of :
"Deep facial age estimation using conditional multitask learning with weak label esxpansion."
Trains and evaluates a mean-variance loss on MOPPH Album2 dataset.
Args:
data_root (str) - path to directory where data exist
train_list (str) - path to directory where train_data_list exist
validation_list (str) - path to directory where validation_data_list exist
test_list (str) - path to directory where test_data_list exist
save (str) - path to save the model and results to
n_epochs (int) - number of epochs for training (default 3)
batch_size (int) - size of minibatch (default 64)
lr (float) - base lerning rate (default 0.001)
wd (float) -weight deday (default 0.0001)
momentum (float) momentum (default 0.9)
seed (int) - manually set the random seed (default None)
"""
# Mean and std value from Imagenet
mean=[0.485, 0.456, 0.406]
stdv=[0.229, 0.224, 0.225]
train_transforms = transforms.Compose([
transforms.RandomResizedCrop(224),
transforms.RandomHorizontalFlip(),
transforms.RandomRotation(5),
transforms.ColorJitter(0.05, 0.05, 0.05, 0.05),
transforms.ToTensor(),
transforms.Normalize(mean=mean, std=stdv),
])
test_transforms = transforms.Compose([
transforms.Resize(256),
transforms.CenterCrop(224),
transforms.ToTensor(),
transforms.Normalize(mean=mean, std=stdv),
])
if os.path.exists(os.path.join(save, 'el_resnet18_nesterov_two_group_results_train_6_1.csv')):
os.remove(os.path.join(save, 'el_resnet18_nesterov_two_group_results_train_6_1.csv'))
with open(os.path.join(save, 'el_resnet18_nesterov_two_group_results_train_6_1.csv'), 'w') as f:
f.write('******************************************************************\n')
f.write('records on MORPH2 dataset under ''S1-S2-S3'' protocol\n')
f.write('******************************************************************\n')
f.write('\n')
f.write('\n')
train_set = data_prepare(data_root=data_root, data_list=train_list, transform=train_transforms)
valid_set = data_prepare(data_root=data_root, data_list=validate_list, transform=test_transforms)
test_set = data_prepare(data_root=data_root, data_list=test_list, transform=test_transforms)
ensemble_learning_model = el_resnet18(num_classes=2)
pretrained_dict=model_zoo.load_url(model_urls['resnet18'])
model_dict=ensemble_learning_model.state_dict()
pretrained_dict={k:v for k,v in pretrained_dict.items() if k in model_dict}
model_dict.update(pretrained_dict)
ensemble_learning_model.load_state_dict(model_dict)
model=ensemble_learning_model
# Make save directory
if not os.path.exists(save):
os.makedirs(save)
if not os.path.isdir(save):
raise Exception('%s is not a dir' % save)
# Model on cuda
use_cuda=torch.cuda.is_available()
device = torch.device("cuda" if use_cuda else "cpu")
# prepare data
if seed is not None:
torch.manual_seed(seed)
if use_cuda:
torch.cuda.manual_seed_all(seed)
train_loader = torch.utils.data.DataLoader(train_set, batch_size=batch_size, shuffle=True,
pin_memory=(torch.cuda.is_available()), num_workers=4)
valid_loader = torch.utils.data.DataLoader(valid_set, batch_size=batch_size, shuffle=False,
pin_memory=(torch.cuda.is_available()), num_workers=4)
test_loader = torch.utils.data.DataLoader(test_set, batch_size=batch_size, shuffle=False,
pin_memory=(torch.cuda.is_available()), num_workers=4)
# Wrap model for multi-GPUs, if necessary
if torch.cuda.is_available() and torch.cuda.device_count() > 1:
model = torch.nn.DataParallel(model)
model_wrapper = model.to(device)
# Optimizer
optimizer = torch.optim.SGD(model_wrapper.parameters(), lr=lr, momentum=momentum, nesterov=True, weight_decay=wd)
# scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer, milestones=[0.5 * n_epochs, 0.75 * n_epochs],
# gamma=0.1)
scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer, milestones=[30,50,60],
gamma=0.1)
# Train and validate model
best_argmax_MAE = 100
best_accuracy = 0
model_state_name_1='el_resnet18_nesterov_two_group_model_6_1_1.dat'
model_state_dir_1=os.path.join(save, model_state_name_1)
model_state_name_2='el_resnet18_nesterov_two_group_model_6_1_2.dat'
model_state_dir_2=os.path.join(save, model_state_name_2)
with open(os.path.join(save, 'el_resnet18_nesterov_two_group_results_train_6_1.csv'), 'a') as f:
f.write('epoch, train_total_loss, train_argmax_MAE, train_accuracy, '
'valid_total_loss, valid_argmax_MAE, valid_accuracy\n')
for epoch in range(n_epochs):
scheduler.step()
_, train_total_loss, train_argmax_MAE, train_accuracy = train(
model=model_wrapper,
loader=train_loader,
optimizer=optimizer,
epoch=epoch,
n_epochs=n_epochs,
device=device
)
_, valid_total_loss, valid_argmax_MAE, valid_accuracy = validate(
model=model_wrapper,
loader=valid_loader,
epoch=epoch,
n_epochs=n_epochs,
device=device
)
# Determine if model is the best
if valid_argmax_MAE < best_argmax_MAE:
best_argmax_MAE = valid_argmax_MAE
if os.path.exists(model_state_dir_1):
os.remove(model_state_dir_1)
torch.save(model_wrapper.state_dict(), model_state_dir_1)
if valid_accuracy > best_accuracy:
best_accuracy=valid_accuracy
if os.path.exists(model_state_dir_2):
os.remove(model_state_dir_2)
torch.save(model_wrapper.state_dict(), model_state_dir_2)
with open(os.path.join(save, 'el_resnet18_nesterov_two_group_results_train_6_1.csv'), 'a') as f:
f.write('%03d, %0.4f, %0.4f, %0.4f, %0.4f, %0.4f, %0.4f\n'
% ((epoch + 1), train_total_loss, train_argmax_MAE, train_accuracy,
valid_total_loss, valid_argmax_MAE, valid_accuracy))
if math.isnan(float(train_argmax_MAE)):
break
# Test model
if os.path.exists(model_state_dir_1):
_, test_total_loss, test_argmax_MAE, test_accuracy, AE_list, predict_age_list, real_age_list= test(
model=model_wrapper,
loader=test_loader,
device=device,
model_state_dir=model_state_dir_1,
)
# os.remove(model_state_dir_1)
with open(os.path.join(save, 'el_resnet18_nesterov_two_group_results_train_6_1.csv'), 'a') as f:
f.write('test_total_loss, test_argmax_MAE, test_accuracy:\n')
f.write('%0.4f, %0.4f, %0.4f\n' % (test_total_loss, test_argmax_MAE, test_accuracy))
# f.write('\n')
CS_1_numerator=CS_2_numerator=CS_3_numerator=CS_4_numerator=CS_5_numerator=CS_6_numerator=CS_7_numerator=CS_8_numerator=CS_9_numerator=CS_10_numerator=0
for i in range(len(AE_list)):
if AE_list[i]<=1:
CS_1_numerator+=1
if AE_list[i]<=2:
CS_2_numerator+=1
if AE_list[i]<=3:
CS_3_numerator+=1
if AE_list[i]<=4:
CS_4_numerator+=1
if AE_list[i]<=5:
CS_5_numerator+=1
if AE_list[i]<=6:
CS_6_numerator+=1
if AE_list[i]<=7:
CS_7_numerator+=1
if AE_list[i]<=8:
CS_8_numerator+=1
if AE_list[i]<=9:
CS_9_numerator+=1
if AE_list[i]<=10:
CS_10_numerator+=1
CS_1=CS_1_numerator/len(AE_list)
CS_2=CS_2_numerator/len(AE_list)
CS_3=CS_3_numerator/len(AE_list)
CS_4=CS_4_numerator/len(AE_list)
CS_5=CS_5_numerator/len(AE_list)
CS_6=CS_6_numerator/len(AE_list)
CS_7=CS_7_numerator/len(AE_list)
CS_8=CS_8_numerator/len(AE_list)
CS_9=CS_9_numerator/len(AE_list)
CS_10=CS_10_numerator/len(AE_list)
with open(os.path.join(save, 'el_resnet18_nesterov_two_group_results_train_6_1.csv'), 'a') as f:
f.write('CS_1, CS_2, CS_3, CS_4, CS_5, CS_6, CS_7, CS_8, CS_9, CS_10:\n')
f.write('%0.3f, %0.3f, %0.3f, %0.3f, %0.3f, %0.3f, %0.3f, %0.3f, %0.3f, %0.3f\n'
% (CS_1, CS_2, CS_3, CS_4, CS_5, CS_6, CS_7, CS_8, CS_9, CS_10))
f.write('\n')
if os.path.exists(model_state_dir_2):
_, test_total_loss, test_argmax_MAE, test_accuracy, AE_list, predict_age_list, real_age_list= test(
model=model_wrapper,
loader=test_loader,
device=device,
model_state_dir=model_state_dir_2,
)
# os.remove(model_state_dir_2)
with open(os.path.join(save, 'el_resnet18_nesterov_two_group_results_train_6_1.csv'), 'a') as f:
f.write('test_total_loss, test_argmax_MAE, test_accuracy:\n')
f.write('%0.4f, %0.4f, %0.4f\n' % (test_total_loss, test_argmax_MAE, test_accuracy))
# f.write('\n')
CS_1_numerator=CS_2_numerator=CS_3_numerator=CS_4_numerator=CS_5_numerator=CS_6_numerator=CS_7_numerator=CS_8_numerator=CS_9_numerator=CS_10_numerator=0
for i in range(len(AE_list)):
if AE_list[i]<=1:
CS_1_numerator+=1
if AE_list[i]<=2:
CS_2_numerator+=1
if AE_list[i]<=3:
CS_3_numerator+=1
if AE_list[i]<=4:
CS_4_numerator+=1
if AE_list[i]<=5:
CS_5_numerator+=1
if AE_list[i]<=6:
CS_6_numerator+=1
if AE_list[i]<=7:
CS_7_numerator+=1
if AE_list[i]<=8:
CS_8_numerator+=1
if AE_list[i]<=9:
CS_9_numerator+=1
if AE_list[i]<=10:
CS_10_numerator+=1
CS_1=CS_1_numerator/len(AE_list)
CS_2=CS_2_numerator/len(AE_list)
CS_3=CS_3_numerator/len(AE_list)
CS_4=CS_4_numerator/len(AE_list)
CS_5=CS_5_numerator/len(AE_list)
CS_6=CS_6_numerator/len(AE_list)
CS_7=CS_7_numerator/len(AE_list)
CS_8=CS_8_numerator/len(AE_list)
CS_9=CS_9_numerator/len(AE_list)
CS_10=CS_10_numerator/len(AE_list)
with open(os.path.join(save, 'el_resnet18_nesterov_two_group_results_train_6_1.csv'), 'a') as f:
f.write('CS_1, CS_2, CS_3, CS_4, CS_5, CS_6, CS_7, CS_8, CS_9, CS_10:\n')
f.write('%0.3f, %0.3f, %0.3f, %0.3f, %0.3f, %0.3f, %0.3f, %0.3f, %0.3f, %0.3f\n'
% (CS_1, CS_2, CS_3, CS_4, CS_5, CS_6, CS_7, CS_8, CS_9, CS_10))
f.write('\n')
"""
A demo to train and testv MORPH Album2 dataset with protocol S1-S2-S3.
usage:
python demo.py --data_root <path_to_data_dir> --data_list <path_to_data_list_dir> --save <path_to_save_dir>
"""
if __name__ == '__main__':
fire.Fire(demo) | 66.374728 | 160 | 0.673456 | 8,581 | 60,932 | 4.401235 | 0.055588 | 0.291365 | 0.256732 | 0.174756 | 0.889877 | 0.876877 | 0.872958 | 0.870072 | 0.85445 | 0.845527 | 0 | 0.077813 | 0.20106 | 60,932 | 918 | 161 | 66.374728 | 0.697993 | 0.070997 | 0 | 0.772464 | 0 | 0.007246 | 0.030131 | 0.01238 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011594 | false | 0 | 0.017391 | 0 | 0.036232 | 0.004348 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
d9daaf9ac42fe392eae749dcaa1f41a3eaa4d3c2 | 121,445 | py | Python | selfdrive/car/toyota/values.py | Lycodeboy/openpilot | 22cf2e6440ca004994f30b7b9e8d0c20de35c52a | [
"MIT"
] | 2 | 2021-05-18T09:07:07.000Z | 2021-11-08T08:40:56.000Z | selfdrive/car/toyota/values.py | RetroPilot/openpilot | bec37df1d18f794d0789d082a52f275c11c40769 | [
"MIT"
] | null | null | null | selfdrive/car/toyota/values.py | RetroPilot/openpilot | bec37df1d18f794d0789d082a52f275c11c40769 | [
"MIT"
] | null | null | null | # flake8: noqa
from selfdrive.car import dbc_dict
from cereal import car
Ecu = car.CarParams.Ecu
class CarControllerParams:
ACCEL_HYST_GAP = 0.02 # don't change accel command for small oscilalitons within this value
ACCEL_MAX = 1.5 # 1.5 m/s2
ACCEL_MIN = -3.0 # 3 m/s2
ACCEL_SCALE = max(ACCEL_MAX, -ACCEL_MIN)
STEER_MAX = 1500
STEER_DELTA_UP = 10 # 1.5s time to peak torque
STEER_DELTA_DOWN = 25 # always lower than 45 otherwise the Rav4 faults (Prius seems ok with 50)
STEER_ERROR_MAX = 350 # max delta between torque cmd and torque motor
class CAR:
PRIUS = "TOYOTA PRIUS 2017"
PRIUS_TSS2 = "TOYOTA PRIUS TSS2 2021"
RAV4H = "TOYOTA RAV4 HYBRID 2017"
RAV4 = "TOYOTA RAV4 2017"
COROLLA = "TOYOTA COROLLA 2017"
LEXUS_RX = "LEXUS RX 2016"
LEXUS_RXH = "LEXUS RX HYBRID 2017"
LEXUS_RX_TSS2 = "LEXUS RX 2020"
LEXUS_RXH_TSS2 = "LEXUS RX HYBRID 2020"
CHR = "TOYOTA C-HR 2018"
CHRH = "TOYOTA C-HR HYBRID 2018"
CAMRY = "TOYOTA CAMRY 2018"
CAMRYH = "TOYOTA CAMRY HYBRID 2018"
CAMRY_TSS2 = "TOYOTA CAMRY 2021" # TSS 2.5
CAMRYH_TSS2 = "TOYOTA CAMRY HYBRID 2021"
HIGHLANDER = "TOYOTA HIGHLANDER 2017"
HIGHLANDER_TSS2 = "TOYOTA HIGHLANDER 2020"
HIGHLANDERH = "TOYOTA HIGHLANDER HYBRID 2018"
HIGHLANDERH_TSS2 = "TOYOTA HIGHLANDER HYBRID 2020"
AVALON = "TOYOTA AVALON 2016"
RAV4_TSS2 = "TOYOTA RAV4 2019"
COROLLA_TSS2 = "TOYOTA COROLLA TSS2 2019"
COROLLAH_TSS2 = "TOYOTA COROLLA HYBRID TSS2 2019"
LEXUS_ES_TSS2 = "LEXUS ES 2019"
LEXUS_ESH_TSS2 = "LEXUS ES HYBRID 2019"
LEXUS_ESH = "LEXUS ES HYBRID 2018"
SIENNA = "TOYOTA SIENNA 2018"
LEXUS_IS = "LEXUS IS 2018"
LEXUS_CTH = "LEXUS CT HYBRID 2018"
RAV4H_TSS2 = "TOYOTA RAV4 HYBRID 2019"
LEXUS_NXH = "LEXUS NX HYBRID 2018"
LEXUS_NX = "LEXUS NX 2018"
LEXUS_NX_TSS2 = "LEXUS NX 2020"
MIRAI = "TOYOTA MIRAI 2021" # TSS 2.5
# addr: (ecu, cars, bus, 1/freq*100, vl)
STATIC_MSGS = [
(0x128, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH, CAR.LEXUS_NXH, CAR.LEXUS_NX, CAR.RAV4, CAR.COROLLA, CAR.AVALON), 1, 3, b'\xf4\x01\x90\x83\x00\x37'),
(0x128, Ecu.dsu, (CAR.HIGHLANDER, CAR.HIGHLANDERH, CAR.SIENNA, CAR.LEXUS_CTH, CAR.LEXUS_ESH), 1, 3, b'\x03\x00\x20\x00\x00\x52'),
(0x141, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH, CAR.LEXUS_NXH, CAR.LEXUS_NX, CAR.RAV4, CAR.COROLLA, CAR.HIGHLANDER, CAR.HIGHLANDERH, CAR.AVALON, CAR.SIENNA, CAR.LEXUS_CTH, CAR.LEXUS_ESH, CAR.LEXUS_RX), 1, 2, b'\x00\x00\x00\x46'),
(0x160, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH, CAR.LEXUS_NXH, CAR.LEXUS_NX, CAR.RAV4, CAR.COROLLA, CAR.HIGHLANDER, CAR.HIGHLANDERH, CAR.AVALON, CAR.SIENNA, CAR.LEXUS_CTH, CAR.LEXUS_ESH, CAR.LEXUS_RX), 1, 7, b'\x00\x00\x08\x12\x01\x31\x9c\x51'),
(0x161, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH, CAR.LEXUS_NXH, CAR.LEXUS_NX, CAR.RAV4, CAR.COROLLA, CAR.AVALON, CAR.LEXUS_RX), 1, 7, b'\x00\x1e\x00\x00\x00\x80\x07'),
(0X161, Ecu.dsu, (CAR.HIGHLANDERH, CAR.HIGHLANDER, CAR.SIENNA, CAR.LEXUS_CTH, CAR.LEXUS_ESH), 1, 7, b'\x00\x1e\x00\xd4\x00\x00\x5b'),
(0x283, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH, CAR.LEXUS_NXH, CAR.LEXUS_NX, CAR.RAV4, CAR.COROLLA, CAR.HIGHLANDER, CAR.HIGHLANDERH, CAR.AVALON, CAR.SIENNA, CAR.LEXUS_CTH, CAR.LEXUS_ESH, CAR.LEXUS_RX), 0, 3, b'\x00\x00\x00\x00\x00\x00\x8c'),
(0x2E6, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH), 0, 3, b'\xff\xf8\x00\x08\x7f\xe0\x00\x4e'),
(0x2E7, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH), 0, 3, b'\xa8\x9c\x31\x9c\x00\x00\x00\x02'),
(0x33E, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH), 0, 20, b'\x0f\xff\x26\x40\x00\x1f\x00'),
(0x344, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH, CAR.LEXUS_NXH, CAR.LEXUS_NX, CAR.RAV4, CAR.COROLLA, CAR.HIGHLANDER, CAR.HIGHLANDERH, CAR.AVALON, CAR.SIENNA, CAR.LEXUS_CTH, CAR.LEXUS_ESH, CAR.LEXUS_RX), 0, 5, b'\x00\x00\x01\x00\x00\x00\x00\x50'),
(0x365, Ecu.dsu, (CAR.PRIUS, CAR.LEXUS_RXH, CAR.LEXUS_NXH, CAR.LEXUS_NX, CAR.HIGHLANDERH), 0, 20, b'\x00\x00\x00\x80\x03\x00\x08'),
(0x365, Ecu.dsu, (CAR.RAV4, CAR.RAV4H, CAR.COROLLA, CAR.HIGHLANDER, CAR.AVALON, CAR.SIENNA, CAR.LEXUS_CTH, CAR.LEXUS_ESH, CAR.LEXUS_RX), 0, 20, b'\x00\x00\x00\x80\xfc\x00\x08'),
(0x366, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH, CAR.LEXUS_NXH, CAR.LEXUS_NX, CAR.HIGHLANDERH), 0, 20, b'\x00\x00\x4d\x82\x40\x02\x00'),
(0x366, Ecu.dsu, (CAR.RAV4, CAR.COROLLA, CAR.HIGHLANDER, CAR.AVALON, CAR.SIENNA, CAR.LEXUS_CTH, CAR.LEXUS_ESH, CAR.LEXUS_RX), 0, 20, b'\x00\x72\x07\xff\x09\xfe\x00'),
(0x470, Ecu.dsu, (CAR.PRIUS, CAR.LEXUS_RXH), 1, 100, b'\x00\x00\x02\x7a'),
(0x470, Ecu.dsu, (CAR.HIGHLANDER, CAR.HIGHLANDERH, CAR.RAV4H, CAR.SIENNA, CAR.LEXUS_CTH, CAR.LEXUS_ESH), 1, 100, b'\x00\x00\x01\x79'),
(0x4CB, Ecu.dsu, (CAR.PRIUS, CAR.RAV4H, CAR.LEXUS_RXH, CAR.LEXUS_NXH, CAR.LEXUS_NX, CAR.RAV4, CAR.COROLLA, CAR.HIGHLANDERH, CAR.HIGHLANDER, CAR.AVALON, CAR.SIENNA, CAR.LEXUS_CTH, CAR.LEXUS_ESH, CAR.LEXUS_RX), 0, 100, b'\x0c\x00\x00\x00\x00\x00\x00\x00'),
]
FINGERPRINTS = {
CAR.RAV4: [{
36: 8, 37: 8, 170: 8, 180: 8, 186: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 512: 6, 513: 6, 547: 8, 548: 8, 552: 4, 562: 4, 608: 8, 610: 5, 643: 7, 705: 8, 725: 2, 740: 5, 767: 4, 800: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 918: 7, 921: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 4, 956: 8, 979: 2, 998: 5, 999: 7, 1000: 8, 1001: 8, 1005: 2, 1008: 2, 1014: 8, 1017: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1596: 8, 1597: 8, 1600: 8, 1656: 8, 1664: 8, 1728: 8, 1745: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8, 2015: 8, 2024: 8
}],
CAR.RAV4H: [{
36: 8, 37: 8, 170: 8, 180: 8, 186: 4, 296: 8, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 547: 8, 548: 8, 550: 8, 552: 4, 560: 7, 562: 4, 581: 5, 608: 8, 610: 5, 643: 7, 705: 8, 713: 8, 725: 2, 740: 5, 767: 4, 800: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 918: 7, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 3, 955: 8, 956: 8, 979: 2, 998: 5, 999: 7, 1000: 8, 1001: 8, 1005: 2, 1008: 2, 1014: 8, 1017: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1184: 8, 1185: 8, 1186: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1212: 8, 1227: 8, 1228: 8, 1232: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1596: 8, 1597: 8, 1600: 8, 1656: 8, 1664: 8, 1728: 8, 1745: 8, 1779: 8, 1872: 8, 1880: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
# Chinese RAV4
{
36: 8, 37: 8, 170: 8, 180: 8, 186: 4, 355: 5, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 512: 6, 513: 6, 547: 8, 548: 8, 552: 4, 562: 4, 608: 8, 610: 5, 643: 7, 705: 8, 725: 2, 740: 5, 742: 8, 743: 8, 767: 4, 800: 8, 830: 7, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 921: 8, 922: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 998: 5, 999: 7, 1000: 8, 1001: 8, 1008: 2, 1017: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1207: 8, 1227: 8, 1235: 8, 1263: 8, 1279: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1596: 8, 1597: 8, 1600: 8, 1664: 8, 1728: 8, 1745: 8, 1779: 8
}],
CAR.PRIUS: [{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 512: 6, 513: 6, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 614: 8, 643: 7, 658: 8, 713: 8, 740: 5, 742: 8, 743: 8, 767: 4, 800: 8, 810: 2, 814: 8, 824: 2, 829: 2, 830: 7, 835: 8, 836: 8, 845: 5, 863: 8, 869: 7, 870: 7, 871: 2, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 974: 8, 975: 5, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1005: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1083: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1175: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1595: 8, 1777: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
#2019 LE
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 614: 8, 643: 7, 658: 8, 713: 8, 740: 5, 742: 8, 743: 8, 767: 4, 800: 8, 810: 2, 814: 8, 829: 2, 830: 7, 835: 8, 836: 8, 863: 8, 865: 8, 869: 7, 870: 7, 871: 2, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1083: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1175: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1279: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1595: 8, 1777: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
# 2020 Prius Prime LE
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 713: 8, 740: 5, 742: 8, 743: 8, 764: 8, 767: 4, 800: 8, 810: 2, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 863: 8, 865: 8, 869: 7, 870: 7, 871: 2, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 974: 8, 975: 5, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1227: 8, 1235: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1595: 8, 1649: 8, 1777: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
#2020 Prius Prime Limited
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 614: 8, 643: 7, 658: 8, 713: 8, 740: 5, 742: 8, 743: 8, 767: 4, 800: 8, 810: 2, 814: 8, 824: 2, 829: 2, 830: 7, 835: 8, 836: 8, 863: 8, 865: 8, 869: 7, 870: 7, 871: 2, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 974: 8, 975: 5, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1083: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1175: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1595: 8, 1649: 8, 1777: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8, 2015: 8, 2024: 8, 2026: 8, 2027: 8, 2029: 8, 2030: 8, 2031: 8
},
#2020 Central Europe Prime
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 713: 8, 740: 5, 742: 8, 743: 8, 764: 8, 767: 4, 800: 8, 810: 2, 818: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 845: 5, 863: 8, 865: 8, 869: 7, 870: 7, 871: 2, 889: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 8, 974: 8, 975: 5, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1227: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1595: 8, 1777: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8
},
#2017 German Prius
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 614: 8, 643: 7, 658: 8, 713: 8, 740: 5, 742: 8, 743: 8, 767: 4, 800: 8, 810: 2, 814: 8, 829: 2, 830: 7, 835: 8, 836: 8, 845: 5, 863: 8, 869: 7, 870: 7, 871: 2, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1005: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1077: 8, 1082: 8, 1083: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1175: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1595: 8, 1777: 8, 1779: 8, 1792: 8, 1767: 4, 1863: 8, 1904: 8, 1912: 8, 1984: 8, 1988: 8, 1990: 8, 1992: 8, 1996: 8, 1998: 8, 2002: 8, 2010: 8, 2015: 8, 2016: 8, 2018: 8, 2024: 8, 2026: 8, 2030: 8
}],
#Corolla w/ added Pedal Support (512L and 513L)
CAR.COROLLA: [{
36: 8, 37: 8, 170: 8, 180: 8, 186: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 512: 6, 513: 6, 547: 8, 548: 8, 552: 4, 608: 8, 610: 5, 643: 7, 705: 8, 740: 5, 767: 4, 800: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 2, 921: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 4, 956: 8, 979: 2, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1017: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1196: 8, 1227: 8, 1235: 8, 1279: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1596: 8, 1597: 8, 1600: 8, 1664: 8, 1728: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8, 2016: 8, 2017: 8, 2018: 8, 2019: 8, 2020: 8, 2021: 8, 2022: 8, 2023: 8, 2024: 8
}],
CAR.LEXUS_RX: [{
# 2016 Lexus RX 350
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 5, 643: 7, 705: 8, 740: 5, 742: 8, 743: 8, 767: 4, 800: 8, 810: 2, 812: 3, 818: 8, 819: 8, 820: 8, 821: 8, 822: 8, 830: 7, 835: 8, 836: 8, 845: 5, 869: 7, 870: 7, 871: 2, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1063: 8, 1077: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1349: 8, 1350: 8, 1351: 8, 1413: 8, 1414: 8, 1415: 8, 1416: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1595: 8, 1777: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8, 2015: 8, 2016: 8, 2024: 8
},
# 2017 Lexus RX 350
{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 5, 643: 7, 658: 8, 705: 8, 740: 5, 742: 8, 743: 8, 767: 4, 800: 8, 810: 2, 812: 3, 814: 8, 818: 8, 819: 8, 820: 8, 821: 8, 822: 8, 830: 7, 835: 8, 836: 8, 869: 7, 870: 7, 871: 2, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1063: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1349: 8, 1350: 8, 1351: 8, 1413: 8, 1414: 8, 1415: 8, 1416: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1595: 8, 1777: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.LEXUS_RXH: [{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 512: 6, 513: 6, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 5, 643: 7, 658: 8, 713: 8, 740: 5, 742: 8, 743: 8, 767: 4, 800: 8, 810: 2, 812: 3, 814: 8, 830: 7, 835: 8, 836: 8, 845: 5, 863: 8, 869: 7, 870: 7, 871: 2, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 6, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1005: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1063: 8, 1071: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1595: 8, 1777: 8, 1779: 8, 1808: 8, 1810: 8, 1816: 8, 1818: 8, 1840: 8, 1848: 8, 1904: 8, 1912: 8, 1940: 8, 1941: 8, 1948: 8, 1949: 8, 1952: 8, 1956: 8, 1960: 8, 1964: 8, 1986: 8, 1990: 8, 1994: 8, 1998: 8, 2004: 8, 2012: 8
},
# RX450HL
# TODO: get proper fingerprint in stock mode
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 512: 6, 513: 6, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 5, 643: 7, 658: 8, 713: 8, 740: 5, 742: 8, 743: 8, 767: 4, 800: 8, 810: 2, 812: 3, 814: 8, 830: 7, 835: 8, 836: 8, 863: 8, 865: 8, 869: 7, 870: 7, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 6, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1005: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1056: 8, 1057: 8, 1059: 1, 1063: 8, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1227: 8, 1228: 8, 1237: 8, 1264: 8, 1279: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1777: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
# RX540H 2019 with color hud
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 512: 6, 513: 6, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 5, 643: 7, 658: 8, 713: 8, 740: 5, 742: 8, 743: 8, 767: 4, 800: 8, 810: 2, 812: 3, 814: 8, 818: 8, 819: 8, 820: 8, 821: 8, 822: 8, 830: 7, 835: 8, 836: 8, 845: 5, 863: 8, 865: 8, 869: 7, 870: 7, 871: 2, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 6, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1063: 8, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1349: 8, 1350: 8, 1351: 8, 1413: 8, 1414: 8, 1415: 8, 1416: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1777: 8, 1779: 8, 1808: 8, 1810: 8, 1816: 8, 1818: 8, 1904: 8, 1912: 8, 1952: 8, 1960: 8, 1990: 8, 1998: 8
},
# 2017 RX 450h
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 5, 643: 7, 658: 8, 713: 8, 740: 5, 742: 8, 743: 8, 744: 8, 767: 4, 800: 8, 810: 2, 812: 3, 814: 8, 818: 8, 819: 8, 820: 8, 821: 8, 822: 8, 830: 7, 835: 8, 836: 8, 845: 5, 863: 8, 869: 7, 870: 7, 871: 2, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 6, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1063: 8, 1071: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1349: 8, 1350: 8, 1351: 8, 1413: 8, 1414: 8, 1415: 8, 1416: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1595: 8, 1745: 8, 1777: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8, 2015: 8, 2016: 8, 2024: 8
}],
CAR.LEXUS_RX_TSS2: [
# 2020 Lexus RX 350
{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 401: 8, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 8, 643: 7, 658: 8, 705: 8, 740: 5, 742: 8, 743: 8, 764: 8, 765: 8, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 824: 8, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 891: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 987: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1063: 8, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1228: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1592: 8, 1594: 8, 1595: 8, 1600: 8, 1649: 8, 1775: 8, 1777: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1808: 8, 1816: 8, 1872: 8, 1880: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8, 2015: 8, 2016: 8, 2024: 8
}],
CAR.LEXUS_RXH_TSS2: [
# 2020 Lexus RX 450h
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 401: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 658: 8, 713: 8, 740: 5, 742: 8, 743: 8, 744: 8, 764: 8, 765: 8, 800: 8, 810: 2, 812: 3, 814: 8, 818: 8, 822: 8, 824: 8, 830: 7, 835: 8, 836: 8, 845: 5, 863: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 889: 8, 891: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 942: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 6, 987: 8, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1063: 8, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1592: 8, 1594: 8, 1595: 8, 1600: 8, 1649: 8, 1775: 8, 1777: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1792: 8, 1808: 8, 1809: 8, 1810: 8, 1816: 8, 1818: 8, 1840: 8, 1848: 8, 1872: 8, 1880: 8, 1904: 8, 1912: 8, 1937: 8, 1940: 8, 1941: 8, 1945: 8, 1948: 8, 1949: 8, 1952: 8, 1953: 8, 1956: 8, 1960: 8, 1961: 8, 1968: 8, 1976: 8, 1986: 8, 1990: 8, 1994: 8, 1998: 8, 2004: 8, 2012: 8, 2015: 8, 2016: 8, 2024: 8
}],
CAR.CHR: [{
36: 8, 37: 8, 170: 8, 180: 8, 186: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 8, 614: 8, 643: 7, 658: 8, 705: 8, 740: 5, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 830: 7, 835: 8, 836: 8, 845: 5, 869: 7, 870: 7, 871: 2, 898: 8, 913: 8, 918: 8, 921: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 1014: 8, 1017: 8, 1020: 8, 1021: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1082: 8, 1083: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1175: 8, 1228: 8, 1235: 8, 1237: 8, 1279: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1595: 8, 1745: 8, 1779: 8
}],
CAR.CHRH: [{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 614: 8, 643: 7, 658: 8, 713: 8, 740: 5, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 829: 2, 830: 7, 835: 8, 836: 8, 845: 5, 869: 7, 870: 7, 871: 2, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1014: 8, 1017: 8, 1020: 8, 1021: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1083: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1175: 8, 1228: 8, 1235: 8, 1237: 8, 1279: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1595: 8, 1745: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.CAMRY: [
#XLE and LE
{
36: 8, 37: 8, 119: 6, 170: 8, 180: 8, 186: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 8, 643: 7, 658: 8, 705: 8, 728: 8, 740: 5, 761: 8, 764: 8, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 822: 8, 824: 8, 830: 7, 835: 8, 836: 8, 869: 7, 870: 7, 871: 2, 888: 8, 889: 8, 891: 8, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 983: 8, 984: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1011: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1412: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1595: 8, 1745: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1808: 8, 1816: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
#XSE and SE
# TODO: get proper fingerprint in stock mode
{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 8, 643: 7, 658: 8, 705: 8, 728: 8, 740: 5, 761: 8, 764: 8, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 822: 8, 824: 8, 830: 7, 835: 8, 836: 8, 869: 7, 870: 7, 888: 8, 889: 8, 891: 8, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 983: 8, 984: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1011: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1228: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1412: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1595: 8, 1745: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1808: 8, 1816: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
{
# 2019 XSE
36: 8, 37: 8, 170: 8, 180: 8, 186: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 8, 643: 7, 658: 8, 705: 8, 728: 8, 740: 5, 761: 8, 764: 8, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 822: 8, 824: 8, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 888: 8, 889: 8, 891: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 942: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 983: 8, 984: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1011: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1412: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1745: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1792: 8, 1767: 4, 1808: 8, 1816: 8, 1872: 8, 1880: 8, 1904: 8, 1912: 8, 1937: 8, 1945: 8, 1953: 8, 1961: 8, 1968: 8, 1976: 8, 1990: 8, 1998: 8, 2015: 8, 2016: 8, 2024: 8
}],
CAR.CAMRYH: [
#SE, LE and LE with Blindspot Monitor
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 713: 8, 728: 8, 740: 5, 761: 8, 764: 8, 767: 4, 800: 8, 810: 2, 812: 8, 818: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 889: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 983: 8, 984: 8, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1011: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1745: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1808: 8, 1810: 8, 1816: 8, 1818: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
#SL
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 713: 8, 728: 8, 740: 5, 761: 8, 764: 8, 767: 4, 800: 8, 810: 2, 812: 8, 818: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 869: 7, 870: 7, 871: 2, 888: 8, 889: 8, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1228: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1595: 8, 1745: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
#XLE
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 658: 8, 713: 8, 728: 8, 740: 5, 761: 8, 764: 8, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 869: 7, 870: 7, 871: 2, 888: 8, 889: 8, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 983: 8, 984: 8, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1011: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1228: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1595: 8, 1745: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.CAMRY_TSS2: [{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 401: 8, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 8, 643: 7, 705: 8, 728: 8, 740: 5, 761: 8, 764: 8, 765: 8, 791: 8, 800: 8, 810: 2, 812: 8, 818: 8, 824: 8, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 885: 8, 889: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 983: 8, 984: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1011: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1593: 8, 1594: 8, 1595: 8, 1649: 8, 1653: 8, 1654: 8, 1655: 8, 1677: 8, 1745: 8, 1775: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1792: 8, 1800: 8, 1808: 8, 1809: 8, 1816: 8, 1817: 8, 1840: 8, 1841: 8, 1848: 8, 1872: 8, 1880: 8, 1904: 8, 1912: 8, 1937: 8, 1940: 8, 1941: 8, 1945: 8, 1948: 8, 1949: 8, 1952: 8, 1953: 8, 1956: 8, 1960: 8, 1961: 8, 1964: 8, 1968: 8, 1973: 8, 1976: 8, 1981: 8, 1986: 8, 1988: 8, 1990: 8, 1994: 8, 1996: 8, 1998: 8, 2000: 8, 2001: 8, 2004: 8, 2008: 8, 2012: 8, 2016: 8, 2017: 8
}],
CAR.CAMRYH_TSS2: [{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 401: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 713: 8, 728: 8, 740: 5, 761: 8, 764: 8, 765: 8, 791: 8, 800: 8, 810: 2, 812: 8, 818: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 885: 8, 889: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 983: 8, 984: 8, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1011: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1593: 8, 1594: 8, 1595: 8, 1649: 8, 1653: 8, 1654: 8, 1655: 8, 1677: 8, 1745: 8, 1775: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.HIGHLANDER: [{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 238: 4, 355: 5, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 545: 5, 550: 8, 552: 4, 608: 8, 610: 5, 643: 7, 705: 8, 725: 2, 740: 5, 767: 4, 800: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 921: 8, 922: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 998: 5, 999: 7, 1000: 8, 1001: 8, 1008: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1182: 8, 1183: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1206: 8, 1207: 8, 1212: 8, 1227: 8, 1235: 8, 1237: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1656: 8, 1666: 8, 1667: 8, 1728: 8, 1745: 8, 1779: 8, 1872: 8, 1880: 8, 1904: 8, 1912: 8, 1984: 8, 1988: 8, 1992: 8, 1996: 8, 1990: 8, 1998: 8
},
# 2019 Highlander XLE
{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 238: 4, 355: 5, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 545: 5, 550: 8, 552: 4, 608: 8, 610: 5, 643: 7, 705: 8, 725: 2, 740: 5, 767: 4, 800: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 921: 8, 922: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1008: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1182: 8, 1183: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1206: 8, 1207: 8, 1212: 8, 1227: 8, 1235: 8, 1237: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1656: 8, 1728: 8, 1745: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
# 2017 Highlander Limited
{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 238: 4, 355: 5, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 545: 5, 550: 8, 552: 4, 608: 8, 610: 5, 643: 7, 705: 8, 725: 2, 740: 5, 767: 4, 800: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 918: 7, 921: 8, 922: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 998: 5, 999: 7, 1000: 8, 1001: 8, 1005: 2, 1008: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1182: 8, 1183: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1206: 8, 1207: 8, 1212: 8, 1227: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1656: 8, 1728: 8, 1745: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
# 2018 Highlander Limited Platinum
{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 238: 4, 355: 5, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 545: 5, 550: 8, 552: 4, 608: 8, 610: 5, 643: 7, 705: 8, 725: 2, 740: 5, 767: 4, 800: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 918: 7, 921: 8, 922: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 998: 5, 999: 7, 1000: 8, 1001: 8, 1008: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1182: 8, 1183: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1206: 8, 1207: 8, 1212: 8, 1227: 8, 1235: 8, 1237: 8, 1263: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1585: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1656: 8, 1728: 8, 1745: 8, 1779: 8, 1872: 8, 1880: 8, 1904: 8, 1912: 8, 1988: 8, 1990: 8, 1996: 8, 1998: 8, 2015: 8, 2016: 8, 2024: 8
}],
CAR.HIGHLANDER_TSS2: [{
# 2020 highlander limited
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 355: 5, 401: 8, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 565: 8, 608: 8, 610: 8, 643: 7, 658: 8, 705: 8, 728: 8, 740: 5, 761: 8, 764: 8, 765: 8, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 824: 8, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 885: 8, 889: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 987: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1063: 8, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1228: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1696: 8, 1775: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1808: 8, 1816: 8, 1904: 8, 1912: 8, 1952: 8, 1960: 8, 1990: 8, 1998: 8
}],
CAR.HIGHLANDERH: [{
36: 8, 37: 8, 170: 8, 180: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 581: 5, 608: 8, 610: 5, 643: 7, 713: 8, 740: 5, 767: 4, 800: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 918: 7, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 3, 955: 8, 956: 8, 979: 2, 998: 5, 999: 7, 1000: 8, 1001: 8, 1005: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1112: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1184: 8, 1185: 8, 1186: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1206: 8, 1212: 8, 1227: 8, 1232: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1552: 8, 1553: 8, 1554: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1656: 8, 1728: 8, 1745: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
{
# 2019 Highlander Hybrid Limited Platinum
36: 8, 37: 8, 170: 8, 180: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 581: 5, 608: 8, 610: 5, 643: 7, 713: 8, 740: 5, 767: 4, 800: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 918: 7, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 3, 955: 8, 956: 8, 979: 2, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1076: 8, 1077: 8, 1112: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1184: 8, 1185: 8, 1186: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1206: 8, 1212: 8, 1227: 8, 1232: 8, 1235: 8, 1237: 8, 1263: 8, 1279: 8, 1552: 8, 1553: 8, 1554: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1656: 8, 1666: 8, 1667: 8, 1728: 8, 1745: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.HIGHLANDERH_TSS2: [{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 401: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 658: 8, 713: 8, 728: 8, 740: 5, 761: 8, 765: 8, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 822: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 881: 8, 885: 8, 891: 8, 896: 8, 898: 8, 918: 8, 942: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 971: 7, 975: 5, 987: 8, 993: 8, 1014: 8, 1017: 8, 1020: 8, 1059: 1, 1063: 8, 1071: 8, 1082: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1228: 8, 1235: 8, 1552: 8, 1553: 8, 1556: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1696: 8, 1745: 8
}],
CAR.AVALON: [{
36: 8, 37: 8, 170: 8, 180: 8, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 547: 8, 550: 8, 552: 4, 562: 6, 608: 8, 610: 5, 643: 7, 705: 8, 740: 5, 767: 4, 800: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 897: 8, 905: 8, 911: 1, 916: 2, 921: 8, 933: 6, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 1005: 2, 1014: 8, 1017: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1200: 8, 1201: 8, 1202: 8, 1203: 8, 1206: 8, 1227: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1558: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1596: 8, 1597: 8, 1664: 8, 1728: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.RAV4_TSS2: [
# LE
{
36: 8, 37: 8, 170: 8, 180: 8, 186: 4, 355: 5, 401: 8, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 565: 8, 608: 8, 610: 8, 643: 7, 705: 8, 728: 8, 740: 5, 742: 8, 743: 8, 761: 8, 764: 8, 765: 8, 767: 4, 800: 8, 810: 2, 812: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 882: 8, 885: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1063: 8, 1076: 8, 1077: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1235: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1745: 8, 1775: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
# XLE, Limited, and AWD
{
36: 8, 37: 8, 170: 8, 180: 8, 186: 4, 401: 8, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 565: 8, 608: 8, 610: 8, 643: 7, 658: 8, 705: 8, 728: 8, 740: 5, 742: 8, 743: 8, 761: 8, 764: 8, 765: 8, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 822: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 882: 8, 885: 8, 889: 8, 891: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 987: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1063: 8, 1076: 8, 1077: 8, 1082: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1696: 8, 1745: 8, 1775: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8, 2015: 8, 2016: 8, 2024: 8
}],
CAR.COROLLA_TSS2: [
# hatch 2019+ and sedan 2020+
{
36: 8, 37: 8, 114: 5, 170: 8, 180: 8, 186: 4, 401: 8, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 8, 643: 7, 705: 8, 728: 8, 740: 5, 742: 8, 743: 8, 761: 8, 764: 8, 765: 8, 767: 4, 800: 8, 810: 2, 812: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1235: 8, 1237: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1595: 8, 1649: 8, 1745: 8, 1775: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1808: 8, 1809: 8, 1816: 8, 1817: 8, 1840: 8, 1848: 8, 1904: 8, 1912: 8, 1940: 8, 1941: 8, 1948: 8, 1949: 8, 1952: 8, 1960: 8, 1981: 8, 1986: 8, 1990: 8, 1994: 8, 1998: 8, 2004: 8
}],
CAR.COROLLAH_TSS2: [
# 2019 Taiwan Altis Hybrid
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 401: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 713: 8, 728: 8, 740: 5, 742: 8, 743: 8, 761: 8, 765: 8, 767: 4, 800: 8, 810: 2, 829: 2, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 885: 8, 896: 8, 898: 8, 918: 7, 921: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 987: 8, 993: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1082: 8, 1112: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1172: 8, 1235: 8, 1237: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1594: 8, 1595: 8, 1745: 8, 1775: 8, 1779: 8
},
# 2019 Chinese Levin Hybrid
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 401: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 713: 8, 728: 8, 740: 5, 742: 8, 743: 8, 761: 8, 765: 8, 767: 4, 800: 8, 810: 2, 812: 8, 829: 2, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 885: 8, 896: 8, 898: 8, 921: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 993: 8, 1002: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1172: 8, 1235: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1594: 8, 1595: 8, 1600: 8, 1649: 8, 1745: 8, 1775: 8, 1779: 8
}
],
CAR.LEXUS_ES_TSS2: [{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 401: 8, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 8, 643: 7, 658: 8, 705: 8, 728: 8, 740: 5, 761: 8, 764: 8, 765: 8, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 824: 8, 830: 7, 835: 8, 836: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 882: 8, 885: 8, 889: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 976: 1, 987: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1228: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1696: 8, 1775: 8, 1777: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8,
}],
CAR.LEXUS_ESH_TSS2: [
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 401: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 658: 8, 713: 8, 728: 8, 740: 5, 742: 8, 743: 8, 744: 8, 761: 8, 764: 8, 765: 8, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 863: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 882: 8, 885: 8, 889: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 987: 8, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1228: 8, 1235: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1696: 8, 1775: 8, 1777: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.LEXUS_ESH: [
{
36: 8, 37: 8, 170: 8, 180: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 548: 8, 552: 4, 560: 7, 581: 5, 608: 8, 610: 5, 643: 7, 710: 8, 713: 8, 740: 5, 800: 8, 832: 8, 835: 8, 836: 8, 845: 7, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 913: 2, 916: 2, 918: 7, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 3, 955: 8, 956: 8, 979: 2, 998: 5, 999: 7, 1000: 8, 1001: 8, 1005: 2, 1014: 8, 1017: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1184: 8, 1185: 8, 1186: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1206: 8, 1208: 8, 1227: 8, 1232: 8, 1235: 8, 1237: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1664: 8, 1728: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.SIENNA: [
{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 545: 5, 548: 8, 550: 8, 552: 4, 562: 4, 608: 8, 610: 5, 643: 7, 705: 8, 725: 2, 740: 5, 764: 8, 767: 4, 800: 8, 824: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 888: 8, 896: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 1, 918: 7, 921: 8, 933: 8, 944: 6, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1008: 2, 1014: 8, 1017: 8, 1041: 8, 1042: 8, 1043: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1114: 8, 1160: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1182: 8, 1183: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1200: 8, 1201: 8, 1202: 8, 1203: 8, 1212: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1279: 8, 1552: 8, 1553: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1656: 8, 1664: 8, 1666: 8, 1667: 8, 1728: 8, 1745: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
# XLE AWD 2018
{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 238: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 545: 5, 548: 8, 550: 8, 552: 4, 562: 4, 608: 8, 610: 5, 643: 7, 705: 8, 725: 2, 740: 5, 764: 8, 767: 4, 800: 8, 824: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 1, 921: 8, 933: 8, 944: 6, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1008: 2, 1014: 8, 1017: 8, 1041: 8, 1042: 8, 1043: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1114: 8, 1160: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1182: 8, 1183: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1200: 8, 1201: 8, 1202: 8, 1203: 8, 1212: 8, 1227: 8, 1235: 8, 1237: 8, 1279: 8, 1552: 8, 1553: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1656: 8, 1664: 8, 1666: 8, 1667: 8, 1728: 8, 1745: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.LEXUS_IS: [
# IS300 2018
{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 238: 4, 400: 6, 426: 6, 452: 8, 464: 8, 466: 8, 467: 5, 544: 4, 550: 8, 552: 4, 608: 8, 610: 5, 643: 7, 705: 8, 740: 5, 767: 4, 800: 8, 836: 8, 845: 5, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 913: 8, 916: 3, 918: 7, 921: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1005: 2, 1008: 2, 1009: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1112: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1168: 1, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1182: 8, 1183: 8, 1184: 8, 1185: 8, 1186: 8, 1187: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1206: 8, 1208: 8, 1212: 8, 1227: 8, 1235: 8, 1237: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1584: 8, 1589: 8, 1590: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1648: 8, 1666: 8, 1667: 8, 1728: 8, 1745: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
# IS300H 2017
{
36: 8, 37: 8, 170: 8, 180: 8, 295: 8, 296: 8, 400: 6, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 581: 5, 608: 8, 610: 5, 643: 7, 713: 8, 740: 5, 767: 4, 800: 8, 836: 8, 845: 5, 849: 4, 869: 7, 870: 7, 871: 2, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 913: 8, 916: 3, 918: 7, 921: 7, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 3, 955: 8, 956: 8, 979: 2, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1009: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1112: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1168: 1, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1184: 8, 1185: 8, 1186: 8, 1187: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1206: 8, 1208: 8, 1212: 8, 1227: 8, 1232: 8, 1235: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1728: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.RAV4H_TSS2: [
#Hybrid Limited
{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 401: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 643: 7, 658: 8, 713: 8, 728: 8, 740: 5, 742: 8, 743: 8, 761: 8, 764: 8, 765: 8, 767: 4, 800: 8, 810: 2, 812: 8, 814: 8, 818: 8, 822: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 863: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 882: 8, 885: 8, 889: 8, 891: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 987: 8, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1063: 8, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1594: 8, 1595: 8, 1649: 8, 1696: 8, 1745: 8, 1775: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1808: 8, 1810: 8, 1816: 8, 1818: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
},
],
CAR.LEXUS_CTH: [{
36: 8, 37: 8, 170: 8, 180: 8, 288: 8, 426: 6, 452: 8, 466: 8, 467: 8, 548: 8, 552: 4, 560: 7, 581: 5, 608: 8, 610: 5, 643: 7, 713: 8, 740: 5, 800: 8, 810: 2, 832: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 1, 921: 8, 933: 8, 944: 6, 945: 8, 950: 8, 951: 8, 953: 3, 955: 4, 956: 8, 979: 2, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1017: 8, 1041: 8, 1042: 8, 1043: 8, 1056: 8, 1057: 8, 1059: 1, 1076: 8, 1077: 8, 1114: 8, 1116: 8, 1160: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1184: 8, 1185: 8, 1186: 8, 1190: 8, 1191: 8, 1192: 8, 1227: 8, 1235: 8, 1279: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1558: 8, 1561: 8, 1562: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1664: 8, 1728: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.LEXUS_NXH: [{
36: 8, 37: 8, 170: 8, 180: 8, 295: 8, 296: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 5, 643: 7, 713: 8, 740: 5, 742: 8, 743: 8, 764: 8, 800: 8, 810: 2, 812: 3, 818: 8, 822: 8, 824: 8, 835: 8, 836: 8, 845: 5, 849: 4, 869: 7, 870: 7, 871: 2, 889: 8, 891: 8, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 913: 8, 916: 3, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 3, 955: 8, 956: 8, 979: 2, 987: 8, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1006: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1056: 8, 1057: 8, 1059: 1, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1168: 1, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1184: 8, 1185: 8, 1186: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1195: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1206: 8, 1208: 8, 1212: 8, 1227: 8, 1228: 8, 1232: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1656: 8, 1728: 8, 1745: 8, 1777: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.LEXUS_NX: [{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 238: 4, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 5, 643: 7, 658: 8, 705: 8, 725: 2, 740: 5, 764: 8, 800: 8, 810: 2, 812: 3, 818: 8, 824: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 888: 8, 889: 8, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1006: 8, 1008: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1168: 1, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1182: 8, 1183: 8, 1184: 8, 1185: 8, 1186: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1195: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1200: 8, 1201: 8, 1202: 8, 1203: 8, 1206: 8, 1208: 8, 1212: 8, 1227: 8, 1228: 8, 1235: 8, 1237: 8, 1264: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1584: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1656: 8, 1666: 8, 1667: 8, 1728: 8, 1745: 8, 1777: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.LEXUS_NX_TSS2: [{
36: 8, 37: 8, 114: 5, 119: 6, 120: 4, 170: 8, 180: 8, 186: 4, 238: 4, 401: 8, 426: 6, 452: 8, 464: 8, 466: 8, 467: 8, 544: 4, 550: 8, 552: 4, 562: 6, 608: 8, 610: 8, 643: 7, 658: 8, 705: 8, 725: 2, 740: 5, 742: 8, 743: 8, 764: 8, 765: 8, 800: 8, 810: 2, 812: 3, 818: 8, 822: 8, 824: 8, 835: 8, 836: 8, 849: 4, 869: 7, 870: 7, 871: 2, 877: 8, 889: 8, 891: 8, 896: 8, 897: 8, 900: 6, 902: 6, 905: 8, 911: 8, 916: 3, 918: 8, 921: 8, 933: 8, 944: 8, 945: 8, 951: 8, 955: 8, 956: 8, 979: 2, 987: 8, 992: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1006: 8, 1008: 2, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1043: 8, 1044: 8, 1056: 8, 1059: 1, 1076: 8, 1077: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1168: 1, 1172: 8, 1176: 8, 1177: 8, 1178: 8, 1179: 8, 1180: 8, 1181: 8, 1182: 8, 1183: 8, 1184: 8, 1185: 8, 1186: 8, 1189: 8, 1190: 8, 1191: 8, 1192: 8, 1195: 8, 1196: 8, 1197: 8, 1198: 8, 1199: 8, 1200: 8, 1201: 8, 1202: 8, 1203: 8, 1206: 8, 1208: 8, 1212: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1408: 8, 1409: 8, 1410: 8, 1552: 8, 1553: 8, 1554: 8, 1555: 8, 1556: 8, 1557: 8, 1561: 8, 1568: 8, 1569: 8, 1570: 8, 1571: 8, 1572: 8, 1575: 8, 1584: 8, 1585: 8, 1589: 8, 1592: 8, 1593: 8, 1595: 8, 1599: 8, 1656: 8, 1666: 8, 1667: 8, 1728: 8, 1745: 8, 1775: 8, 1777: 8, 1779: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.PRIUS_TSS2: [{
36: 8, 37: 8, 166: 8, 170: 8, 180: 8, 295: 8, 296: 8, 401: 8, 426: 6, 452: 8, 466: 8, 467: 8, 550: 8, 552: 4, 560: 7, 562: 6, 581: 5, 608: 8, 610: 8, 614: 8, 643: 7, 658: 8, 713: 8, 740: 5, 742: 8, 743: 8, 764: 8, 765: 8, 800: 8, 810: 2, 814: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 863: 8, 865: 8, 869: 7, 870: 7, 871: 2, 877: 8, 881: 8, 882: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 918: 8, 921: 8, 933: 8, 934: 8, 935: 8, 944: 8, 945: 8, 950: 8, 951: 8, 953: 8, 955: 8, 956: 8, 971: 7, 975: 5, 993: 8, 998: 5, 999: 7, 1000: 8, 1001: 8, 1002: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1057: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1082: 8, 1083: 8, 1084: 8, 1085: 8, 1086: 8, 1114: 8, 1132: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1175: 8, 1228: 8, 1235: 8, 1237: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1592: 8, 1593: 8, 1595: 8, 1649: 8, 1653: 8, 1654: 8, 1655: 8, 1775: 8, 1777: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1904: 8, 1912: 8, 1990: 8, 1998: 8
}],
CAR.MIRAI: [{
15: 8, 36: 8, 37: 8, 164: 8, 166: 8, 170: 8, 180: 8, 203: 8, 295: 8, 401: 8, 426: 6, 466: 8, 467: 8, 494: 8, 495: 8, 550: 8, 552: 4, 560: 7, 562: 8, 581: 5, 608: 8, 610: 8, 643: 7, 664: 8, 665: 8, 666: 8, 728: 8, 740: 5, 742: 8, 743: 8, 761: 8, 764: 8, 765: 8, 789: 8, 791: 8, 800: 8, 810: 2, 812: 8, 818: 8, 822: 8, 824: 8, 829: 2, 830: 7, 835: 8, 836: 8, 845: 5, 863: 8, 865: 8, 870: 7, 871: 2, 877: 8, 881: 8, 889: 8, 891: 8, 892: 8, 893: 8, 894: 8, 896: 8, 898: 8, 900: 6, 902: 6, 905: 8, 913: 8, 918: 8, 921: 8, 934: 8, 935: 8, 944: 8, 945: 8, 950: 8, 951: 8, 955: 8, 956: 8, 971: 7, 983: 8, 984: 8, 987: 8, 998: 5, 1002: 8, 1011: 8, 1014: 8, 1017: 8, 1020: 8, 1041: 8, 1042: 8, 1044: 8, 1056: 8, 1059: 1, 1071: 8, 1076: 8, 1077: 8, 1081: 8, 1082: 8, 1114: 8, 1161: 8, 1162: 8, 1163: 8, 1164: 8, 1165: 8, 1166: 8, 1167: 8, 1172: 8, 1228: 8, 1235: 8, 1237: 8, 1263: 8, 1264: 8, 1279: 8, 1541: 8, 1552: 8, 1553: 8, 1556: 8, 1557: 8, 1568: 8, 1570: 8, 1571: 8, 1572: 8, 1593: 8, 1595: 8, 1649: 8, 1653: 8, 1654: 8, 1655: 8, 1677: 8, 1745: 8, 1769: 8, 1770: 8, 1775: 8, 1777: 8, 1779: 8, 1786: 8, 1787: 8, 1788: 8, 1789: 8, 1792: 8, 1872: 8, 1880: 8, 1937: 8, 1945: 8, 1953: 8, 1961: 8, 1968: 8, 1976: 8, 1988: 8, 1996: 8, 2000: 8, 2001: 8, 2008: 8, 2009: 8, 2015: 8, 2016: 8, 2017: 8
}]
}
# Don't use theses fingerprints for fingerprinting, they are still needed for ECU detection
IGNORED_FINGERPRINTS = [CAR.RAV4H_TSS2, CAR.HIGHLANDERH_TSS2, CAR.LEXUS_RXH_TSS2, CAR.PRIUS_TSS2,
CAR.LEXUS_NX, CAR.LEXUS_NX_TSS2, CAR.CAMRY_TSS2, CAR.CAMRYH_TSS2, CAR.LEXUS_ESH, CAR.MIRAI]
FW_VERSIONS = {
CAR.AVALON: {
(Ecu.esp, 0x7b0, None): [
b'F152607060\x00\x00\x00\x00\x00\x00',
b'F152607110\x00\x00\x00\x00\x00\x00',
b'F152607140\x00\x00\x00\x00\x00\x00',
b'F152607171\x00\x00\x00\x00\x00\x00',
b'F152607180\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881510701300\x00\x00\x00\x00',
b'881510703200\x00\x00\x00\x00',
b'881510705100\x00\x00\x00\x00',
b'881510705200\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B41051\x00\x00\x00\x00\x00\x00',
b'8965B41080\x00\x00\x00\x00\x00\x00',
b'8965B41090\x00\x00\x00\x00\x00\x00',
],
(Ecu.engine, 0x7e0, None): [
b'\x0230721100\x00\x00\x00\x00\x00\x00\x00\x00A0C01000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230721200\x00\x00\x00\x00\x00\x00\x00\x00A0C01000\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.engine, 0x700, None): [
b'\x01896630735100\x00\x00\x00\x00',
b'\x01896630738000\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702000\x00\x00\x00\x00',
b'8821F4702100\x00\x00\x00\x00',
b'8821F4702300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F0701100\x00\x00\x00\x00',
b'8646F0702100\x00\x00\x00\x00',
b'8646F0703000\x00\x00\x00\x00',
],
},
CAR.CAMRY: {
(Ecu.engine, 0x700, None): [
b'\x018966306L3100\x00\x00\x00\x00',
b'\x018966306L4200\x00\x00\x00\x00',
b'\x018966306L5200\x00\x00\x00\x00',
b'\x018966306P8000\x00\x00\x00\x00',
b'\x018966306Q3100\x00\x00\x00\x00',
b'\x018966306Q4000\x00\x00\x00\x00',
b'\x018966306Q4100\x00\x00\x00\x00',
b'\x018966306Q4200\x00\x00\x00\x00',
b'\x018966333Q9200\x00\x00\x00\x00',
b'\x018966333P3100\x00\x00\x00\x00',
b'\x018966333P3200\x00\x00\x00\x00',
b'\x018966333P4200\x00\x00\x00\x00',
b'\x018966333P4300\x00\x00\x00\x00',
b'\x018966333P4400\x00\x00\x00\x00',
b'\x018966333P4500\x00\x00\x00\x00',
b'\x018966333P4700\x00\x00\x00\x00',
b'\x018966333Q6000\x00\x00\x00\x00',
b'\x018966333Q6200\x00\x00\x00\x00',
b'\x018966333Q6300\x00\x00\x00\x00',
b'\x018966333W6000\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'8821F0601200 ',
b'8821F0601300 ',
b'8821F0602000 ',
b'8821F0603300 ',
b'8821F0604100 ',
b'8821F0607200 ',
b'8821F0608000 ',
b'8821F0608200 ',
b'8821F0609100 ',
],
(Ecu.esp, 0x7b0, None): [
b'F152606210\x00\x00\x00\x00\x00\x00',
b'F152606230\x00\x00\x00\x00\x00\x00',
b'F152606270\x00\x00\x00\x00\x00\x00',
b'F152606290\x00\x00\x00\x00\x00\x00',
b'F152606410\x00\x00\x00\x00\x00\x00',
b'F152633540\x00\x00\x00\x00\x00\x00',
b'F152633A10\x00\x00\x00\x00\x00\x00',
b'F152633A20\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B33540\x00\x00\x00\x00\x00\x00',
b'8965B33542\x00\x00\x00\x00\x00\x00',
b'8965B33580\x00\x00\x00\x00\x00\x00',
b'8965B33581\x00\x00\x00\x00\x00\x00',
b'8965B33621\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [ # Same as 0x791
b'8821F0601200 ',
b'8821F0601300 ',
b'8821F0602000 ',
b'8821F0603300 ',
b'8821F0604100 ',
b'8821F0607200 ',
b'8821F0608000 ',
b'8821F0608200 ',
b'8821F0609100 ',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F0601200 ',
b'8646F0601300 ',
b'8646F0601400 ',
b'8646F0603400 ',
b'8646F0605000 ',
b'8646F0606000 ',
b'8646F0606100 ',
b'8646F0607100 ',
],
},
CAR.CAMRYH: {
(Ecu.engine, 0x700, None): [
b'\x018966306Q6000\x00\x00\x00\x00',
b'\x018966333N1100\x00\x00\x00\x00',
b'\x018966333N4300\x00\x00\x00\x00',
b'\x018966333X0000\x00\x00\x00\x00',
b'\x018966333X4000\x00\x00\x00\x00',
b'\x01896633T16000\x00\x00\x00\x00',
b'\x028966306B2100\x00\x00\x00\x00897CF3302002\x00\x00\x00\x00',
b'\x028966306B2300\x00\x00\x00\x00897CF3302002\x00\x00\x00\x00',
b'\x028966306N8100\x00\x00\x00\x00897CF3302002\x00\x00\x00\x00',
b'\x028966306N8200\x00\x00\x00\x00897CF3302002\x00\x00\x00\x00',
b'\x028966306N8300\x00\x00\x00\x00897CF3302002\x00\x00\x00\x00',
b'\x028966306N8400\x00\x00\x00\x00897CF3302002\x00\x00\x00\x00',
b'\x028966306R5000\x00\x00\x00\x00897CF3302002\x00\x00\x00\x00',
b'\x028966306R5000\x00\x00\x00\x00897CF3305001\x00\x00\x00\x00',
b'\x028966306R6000\x00\x00\x00\x00897CF3302002\x00\x00\x00\x00',
b'\x028966306R6000\x00\x00\x00\x00897CF3305001\x00\x00\x00\x00',
b'\x028966306S0000\x00\x00\x00\x00897CF3305001\x00\x00\x00\x00',
b'\x028966306S0100\x00\x00\x00\x00897CF3305001\x00\x00\x00\x00',
b'\x028966306S1100\x00\x00\x00\x00897CF3305001\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152633214\x00\x00\x00\x00\x00\x00',
b'F152633660\x00\x00\x00\x00\x00\x00',
b'F152633712\x00\x00\x00\x00\x00\x00',
b'F152633713\x00\x00\x00\x00\x00\x00',
b'F152633B51\x00\x00\x00\x00\x00\x00',
b'F152633B60\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'8821F0601200 ',
b'8821F0601300 ',
b'8821F0603400 ',
b'8821F0604000 ',
b'8821F0604200 ',
b'8821F0605200 ',
b'8821F0606200 ',
b'8821F0607200 ',
b'8821F0608000 ',
b'8821F0608200 ',
b'8821F0609000 ',
b'8821F0609100 ',
],
(Ecu.eps, 0x7a1, None): [
b'8965B33540\x00\x00\x00\x00\x00\x00',
b'8965B33542\x00\x00\x00\x00\x00\x00',
b'8965B33550\x00\x00\x00\x00\x00\x00',
b'8965B33551\x00\x00\x00\x00\x00\x00',
b'8965B33580\x00\x00\x00\x00\x00\x00',
b'8965B33581\x00\x00\x00\x00\x00\x00',
b'8965B33611\x00\x00\x00\x00\x00\x00',
b'8965B33621\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [ # Same as 0x791
b'8821F0601200 ',
b'8821F0601300 ',
b'8821F0603400 ',
b'8821F0604000 ',
b'8821F0604200 ',
b'8821F0605200 ',
b'8821F0606200 ',
b'8821F0607200 ',
b'8821F0608000 ',
b'8821F0608200 ',
b'8821F0609000 ',
b'8821F0609100 ',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F0601200 ',
b'8646F0601300 ',
b'8646F0601400 ',
b'8646F0603400 ',
b'8646F0603500 ',
b'8646F0604100 ',
b'8646F0605000 ',
b'8646F0606000 ',
b'8646F0606100 ',
b'8646F0607000 ',
b'8646F0607100 ',
],
},
CAR.CAMRY_TSS2: {
(Ecu.eps, 0x7a1, None): [
b'8965B33630\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'\x01F152606370\x00\x00\x00\x00\x00\x00',
b'\x01F152606390\x00\x00\x00\x00\x00\x00',
b'\x01F152606400\x00\x00\x00\x00\x00\x00',
],
(Ecu.engine, 0x700, None): [
b'\x018966306Q5000\x00\x00\x00\x00',
b'\x018966306T3100\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 15): [
b'\x018821F6201200\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 109): [
b'\x028646F3305200\x00\x00\x00\x008646G5301200\x00\x00\x00\x00',
b'\x028646F3305300\x00\x00\x00\x008646G5301200\x00\x00\x00\x00',
],
},
CAR.CAMRYH_TSS2: {
(Ecu.eps, 0x7a1, None): [
b'8965B33630\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152633D00\x00\x00\x00\x00\x00\x00',
],
(Ecu.engine, 0x700, None): [
b'\x018966306Q6000\x00\x00\x00\x00',
b'\x018966306Q7000\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 15): [
b'\x018821F6201200\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 109): [
b'\x028646F3305200\x00\x00\x00\x008646G5301200\x00\x00\x00\x00',
b'\x028646F3305300\x00\x00\x00\x008646G5301200\x00\x00\x00\x00',
],
},
CAR.CHR: {
(Ecu.engine, 0x700, None): [
b'\x01896631017100\x00\x00\x00\x00',
b'\x01896631017200\x00\x00\x00\x00',
b'\x0189663F413100\x00\x00\x00\x00',
b'\x0189663F414100\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'8821F0W01000 ',
b'8821F0W01100 ',
b'8821FF401600 ',
b'8821FF404000 ',
b'8821FF404100 ',
b'8821FF405100 ',
b'8821FF406000 ',
b'8821FF407100 ',
],
(Ecu.esp, 0x7b0, None): [
b'F152610020\x00\x00\x00\x00\x00\x00',
b'F152610153\x00\x00\x00\x00\x00\x00',
b'F152610210\x00\x00\x00\x00\x00\x00',
b'F1526F4034\x00\x00\x00\x00\x00\x00',
b'F1526F4044\x00\x00\x00\x00\x00\x00',
b'F1526F4073\x00\x00\x00\x00\x00\x00',
b'F1526F4121\x00\x00\x00\x00\x00\x00',
b'F1526F4122\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B10011\x00\x00\x00\x00\x00\x00',
b'8965B10040\x00\x00\x00\x00\x00\x00',
b'8965B10070\x00\x00\x00\x00\x00\x00',
],
(Ecu.engine, 0x7e0, None): [
b'\x0331024000\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00895231203202\x00\x00\x00\x00',
b'\x0331024000\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00895231203302\x00\x00\x00\x00',
b'\x0331036000\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00895231203302\x00\x00\x00\x00',
b'\x033F401100\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00895231203102\x00\x00\x00\x00',
b'\x033F424000\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00895231203202\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F0W01000 ',
b'8821FF401600 ',
b'8821FF404000 ',
b'8821FF404100 ',
b'8821FF405100 ',
b'8821FF406000 ',
b'8821FF407100 ',
b'8821F0W01100 ',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646FF401800 ',
b'8646FF404000 ',
b'8646FF406000 ',
b'8646FF407000 ',
],
},
CAR.CHRH: {
(Ecu.engine, 0x700, None): [
b'\x0289663F405000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x0289663F418000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x0289663F423000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x0289663F431000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x0189663F438000\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152610013\x00\x00\x00\x00\x00\x00',
b'F152610040\x00\x00\x00\x00\x00\x00',
b'F152610190\x00\x00\x00\x00\x00\x00',
b'F152610200\x00\x00\x00\x00\x00\x00',
b'F152610230\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'8821FF402300 ',
b'8821FF402400 ',
b'8821FF404000 ',
b'8821FF406000 ',
b'8821FF407100 ',
],
(Ecu.eps, 0x7a1, None): [
b'8965B10011\x00\x00\x00\x00\x00\x00',
b'8965B10020\x00\x00\x00\x00\x00\x00',
b'8965B10040\x00\x00\x00\x00\x00\x00',
b'8965B10050\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821FF402300 ',
b'8821FF402400 ',
b'8821FF404000 ',
b'8821FF406000 ',
b'8821FF407100 ',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646FF402100 ',
b'8646FF404000 ',
b'8646FF406000 ',
b'8646FF407000 ',
],
},
CAR.COROLLA: {
(Ecu.engine, 0x7e0, None): [
b'\x0230ZC2000\x00\x00\x00\x00\x00\x00\x00\x0050212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230ZC2100\x00\x00\x00\x00\x00\x00\x00\x0050212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230ZC2200\x00\x00\x00\x00\x00\x00\x00\x0050212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230ZC2300\x00\x00\x00\x00\x00\x00\x00\x0050212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230ZC3000\x00\x00\x00\x00\x00\x00\x00\x0050212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230ZC3100\x00\x00\x00\x00\x00\x00\x00\x0050212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230ZC3200\x00\x00\x00\x00\x00\x00\x00\x0050212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230ZC3300\x00\x00\x00\x00\x00\x00\x00\x0050212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0330ZC1200\x00\x00\x00\x00\x00\x00\x00\x0050212000\x00\x00\x00\x00\x00\x00\x00\x00895231203202\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881510201100\x00\x00\x00\x00',
b'881510201200\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152602190\x00\x00\x00\x00\x00\x00',
b'F152602191\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B02181\x00\x00\x00\x00\x00\x00',
b'8965B02191\x00\x00\x00\x00\x00\x00',
b'8965B48150\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702100\x00\x00\x00\x00',
b'8821F4702300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F0201101\x00\x00\x00\x00',
b'8646F0201200\x00\x00\x00\x00',
],
},
CAR.COROLLA_TSS2: {
(Ecu.engine, 0x700, None): [
b'\x01896630ZG2000\x00\x00\x00\x00',
b'\x01896630ZG5000\x00\x00\x00\x00',
b'\x01896630ZG5100\x00\x00\x00\x00',
b'\x01896630ZG5200\x00\x00\x00\x00',
b'\x01896630ZG5300\x00\x00\x00\x00',
b'\x01896630ZP2000\x00\x00\x00\x00',
b'\x01896630ZQ5000\x00\x00\x00\x00',
b'\x018966312L8000\x00\x00\x00\x00',
b'\x018966312M9000\x00\x00\x00\x00',
b'\x018966312P9000\x00\x00\x00\x00',
b'\x018966312P9100\x00\x00\x00\x00',
b'\x018966312P9200\x00\x00\x00\x00',
b'\x018966312Q2300\x00\x00\x00\x00',
b'\x018966312R0100\x00\x00\x00\x00',
b'\x018966312R1000\x00\x00\x00\x00',
b'\x018966312R1100\x00\x00\x00\x00',
b'\x018966312R3100\x00\x00\x00\x00',
b'\x018966312S5000\x00\x00\x00\x00',
b'\x018966312S7000\x00\x00\x00\x00',
],
(Ecu.engine, 0x7e0, None): [
b'\x0230ZN4000\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0235883000\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x03312M3000\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00895231203402\x00\x00\x00\x00',
b'\x03312N6000\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00895231203202\x00\x00\x00\x00',
b'\x03312N6000\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00895231203302\x00\x00\x00\x00',
b'\x03312N6100\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00895231203302\x00\x00\x00\x00',
b'\x03312N6100\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00895231203402\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'\x018965B12350\x00\x00\x00\x00\x00\x00',
b'\x018965B12470\x00\x00\x00\x00\x00\x00',
b'\x018965B12490\x00\x00\x00\x00\x00\x00',
b'\x018965B12500\x00\x00\x00\x00\x00\x00',
b'\x018965B12520\x00\x00\x00\x00\x00\x00',
b'\x018965B12530\x00\x00\x00\x00\x00\x00',
b'\x018965B1255000\x00\x00\x00\x00',
b'8965B12361\x00\x00\x00\x00\x00\x00',
b'8965B58040\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'\x01F152602280\x00\x00\x00\x00\x00\x00',
b'\x01F152602560\x00\x00\x00\x00\x00\x00',
b'\x01F152602590\x00\x00\x00\x00\x00\x00',
b'\x01F152602650\x00\x00\x00\x00\x00\x00',
b'\x01F152612641\x00\x00\x00\x00\x00\x00',
b'\x01F152612651\x00\x00\x00\x00\x00\x00',
b'\x01F152612B10\x00\x00\x00\x00\x00\x00',
b'\x01F152612B51\x00\x00\x00\x00\x00\x00',
b'\x01F152612B60\x00\x00\x00\x00\x00\x00',
b'\x01F152612B61\x00\x00\x00\x00\x00\x00',
b'\x01F152612B90\x00\x00\x00\x00\x00\x00',
b'\x01F152612C00\x00\x00\x00\x00\x00\x00',
b'F152602191\x00\x00\x00\x00\x00\x00',
b'F152658320\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301100\x00\x00\x00\x00',
b'\x018821F3301200\x00\x00\x00\x00',
b'\x018821F3301300\x00\x00\x00\x00',
b'\x018821F3301400\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F12010D0\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F1201100\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F1201200\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F1201300\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
b'\x028646F1201400\x00\x00\x00\x008646G2601500\x00\x00\x00\x00',
b'\x028646F1202000\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F1202100\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
b'\x028646F1202200\x00\x00\x00\x008646G2601500\x00\x00\x00\x00',
b'\x028646F5803200\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
],
},
CAR.COROLLAH_TSS2: {
(Ecu.engine, 0x700, None): [
b'\x01896630ZJ1000\x00\x00\x00\x00',
b'\x01896630ZU8000\x00\x00\x00\x00',
b'\x01896637624000\x00\x00\x00\x00',
b'\x01896637626000\x00\x00\x00\x00',
b'\x02896630ZN8000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896630ZQ3000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896630ZR2000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896630ZT8000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x028966312Q4000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x038966312L7000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF1205001\x00\x00\x00\x00',
b'\x038966312N1000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF1203001\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B12361\x00\x00\x00\x00\x00\x00',
b'8965B12451\x00\x00\x00\x00\x00\x00',
b'8965B76012\x00\x00\x00\x00\x00\x00',
b'\x018965B12350\x00\x00\x00\x00\x00\x00',
b'\x018965B12470\x00\x00\x00\x00\x00\x00',
b'\x018965B12490\x00\x00\x00\x00\x00\x00',
b'\x018965B12500\x00\x00\x00\x00\x00\x00',
b'\x018965B12520\x00\x00\x00\x00\x00\x00',
b'\x018965B12530\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152612590\x00\x00\x00\x00\x00\x00',
b'F152612691\x00\x00\x00\x00\x00\x00',
b'F152612692\x00\x00\x00\x00\x00\x00',
b'F152612700\x00\x00\x00\x00\x00\x00',
b'F152612790\x00\x00\x00\x00\x00\x00',
b'F152612800\x00\x00\x00\x00\x00\x00',
b'F152612820\x00\x00\x00\x00\x00\x00',
b'F152612840\x00\x00\x00\x00\x00\x00',
b'F152612A00\x00\x00\x00\x00\x00\x00',
b'F152612A10\x00\x00\x00\x00\x00\x00',
b'F152642540\x00\x00\x00\x00\x00\x00',
b'F152676293\x00\x00\x00\x00\x00\x00',
b'F152676303\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301100\x00\x00\x00\x00',
b'\x018821F3301200\x00\x00\x00\x00',
b'\x018821F3301300\x00\x00\x00\x00',
b'\x018821F3301400\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F12010D0\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F1201100\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F1201300\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
b'\x028646F1201400\x00\x00\x00\x008646G2601500\x00\x00\x00\x00',
b'\x028646F1202000\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F1202100\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
b'\x028646F4203400\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F7603100\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
],
},
CAR.HIGHLANDER: {
(Ecu.engine, 0x700, None): [
b'\x01896630E09000\x00\x00\x00\x00',
b'\x01896630E43000\x00\x00\x00\x00',
b'\x01896630E43100\x00\x00\x00\x00',
b'\x01896630E43200\x00\x00\x00\x00',
b'\x01896630E44200\x00\x00\x00\x00',
b'\x01896630E45000\x00\x00\x00\x00',
b'\x01896630E45100\x00\x00\x00\x00',
b'\x01896630E45200\x00\x00\x00\x00',
b'\x01896630E46200\x00\x00\x00\x00',
b'\x01896630E74000\x00\x00\x00\x00',
b'\x01896630E75000\x00\x00\x00\x00',
b'\x01896630E76000\x00\x00\x00\x00',
b'\x01896630E77000\x00\x00\x00\x00',
b'\x01896630E83000\x00\x00\x00\x00',
b'\x01896630E84000\x00\x00\x00\x00',
b'\x01896630E85000\x00\x00\x00\x00',
b'\x01896630E86000\x00\x00\x00\x00',
b'\x01896630E88000\x00\x00\x00\x00',
b'\x01896630EA0000\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B48140\x00\x00\x00\x00\x00\x00',
b'8965B48150\x00\x00\x00\x00\x00\x00',
b'8965B48210\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [b'F15260E011\x00\x00\x00\x00\x00\x00'],
(Ecu.dsu, 0x791, None): [
b'881510E01100\x00\x00\x00\x00',
b'881510E01200\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702100\x00\x00\x00\x00',
b'8821F4702300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F0E01200\x00\x00\x00\x00',
b'8646F0E01300\x00\x00\x00\x00',
],
},
CAR.HIGHLANDERH: {
(Ecu.eps, 0x7a1, None): [
b'8965B48160\x00\x00\x00\x00\x00\x00'
],
(Ecu.esp, 0x7b0, None): [
b'F152648541\x00\x00\x00\x00\x00\x00',
b'F152648542\x00\x00\x00\x00\x00\x00',
],
(Ecu.engine, 0x7e0, None): [
b'\x0230E40000\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230E40100\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230EA2000\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0230EA2100\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702100\x00\x00\x00\x00',
b'8821F4702300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F0E01200\x00\x00\x00\x00',
b'8646F0E01300\x00\x00\x00\x00',
],
},
CAR.HIGHLANDER_TSS2: {
(Ecu.eps, 0x7a1, None): [
b'8965B48241\x00\x00\x00\x00\x00\x00',
b'8965B48310\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'\x01F15260E051\x00\x00\x00\x00\x00\x00',
b'\x01F15260E110\x00\x00\x00\x00\x00\x00',
],
(Ecu.engine, 0x700, None): [
b'\x01896630E62100\x00\x00\x00\x00',
b'\x01896630E62200\x00\x00\x00\x00',
b'\x01896630E64100\x00\x00\x00\x00',
b'\x01896630E64200\x00\x00\x00\x00',
b'\x01896630EB1000\x00\x00\x00\x00',
b'\x01896630EB1100\x00\x00\x00\x00',
b'\x01896630EB2000\x00\x00\x00\x00',
b'\x01896630EB2100\x00\x00\x00\x00',
b'\x01896630EB2200\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301400\x00\x00\x00\x00',
b'\x018821F6201200\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F0E02100\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F4803000\x00\x00\x00\x008646G5301200\x00\x00\x00\x00',
],
},
CAR.HIGHLANDERH_TSS2: {
(Ecu.eps, 0x7a1, None): [
b'8965B48241\x00\x00\x00\x00\x00\x00',
b'8965B48310\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'\x01F15264872300\x00\x00\x00\x00',
b'\x01F15264872400\x00\x00\x00\x00',
b'\x01F15264872500\x00\x00\x00\x00',
],
(Ecu.engine, 0x700, None): [
b'\x02896630E66000\x00\x00\x00\x00897CF4801001\x00\x00\x00\x00',
b'\x02896630EB3000\x00\x00\x00\x00897CF4801001\x00\x00\x00\x00',
b'\x02896630EB3100\x00\x00\x00\x00897CF4801001\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301400\x00\x00\x00\x00',
b'\x018821F6201200\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F0E02100\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F4803000\x00\x00\x00\x008646G5301200\x00\x00\x00\x00',
],
},
CAR.LEXUS_IS: {
(Ecu.engine, 0x700, None): [
b'\x018966353M7100\x00\x00\x00\x00',
b'\x018966353Q2000\x00\x00\x00\x00',
b'\x018966353Q2300\x00\x00\x00\x00',
b'\x018966353R1100\x00\x00\x00\x00',
b'\x018966353R7100\x00\x00\x00\x00',
b'\x018966353R8100\x00\x00\x00\x00',
b'\x018966353Q4000\x00\x00\x00\x00',
],
(Ecu.engine, 0x7e0, None): [
b'\x0232480000\x00\x00\x00\x00\x00\x00\x00\x00A4701000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02353P7000\x00\x00\x00\x00\x00\x00\x00\x00530J5000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02353P9000\x00\x00\x00\x00\x00\x00\x00\x00553C1000\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152653301\x00\x00\x00\x00\x00\x00',
b'F152653310\x00\x00\x00\x00\x00\x00',
b'F152653330\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881515306200\x00\x00\x00\x00',
b'881515306400\x00\x00\x00\x00',
b'881515306500\x00\x00\x00\x00',
b'881515307400\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B53270\x00\x00\x00\x00\x00\x00',
b'8965B53271\x00\x00\x00\x00\x00\x00',
b'8965B53280\x00\x00\x00\x00\x00\x00',
b'8965B53281\x00\x00\x00\x00\x00\x00',
b'8965B53311\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702300\x00\x00\x00\x00',
b'8821F4702100\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F5301300\x00\x00\x00\x00',
b'8646F5301400\x00\x00\x00\x00',
b'8646F5301200\x00\x00\x00\x00',
],
},
CAR.PRIUS: {
(Ecu.engine, 0x700, None): [
b'\x02896634761000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634761100\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634761200\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634762000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634763000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634763100\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634765000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634765100\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634769100\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634769200\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634770000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634774000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634774100\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634774200\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634782000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x02896634784000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x028966347A0000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x028966347A5000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x028966347A8000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x028966347B0000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x03896634759100\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701003\x00\x00\x00\x00',
b'\x03896634759200\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701003\x00\x00\x00\x00',
b'\x03896634759200\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701004\x00\x00\x00\x00',
b'\x03896634759300\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701004\x00\x00\x00\x00',
b'\x03896634760000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701002\x00\x00\x00\x00',
b'\x03896634760000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701003\x00\x00\x00\x00',
b'\x03896634760000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701004\x00\x00\x00\x00',
b'\x03896634760100\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701003\x00\x00\x00\x00',
b'\x03896634760200\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701003\x00\x00\x00\x00',
b'\x03896634760200\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701004\x00\x00\x00\x00',
b'\x03896634760300\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701004\x00\x00\x00\x00',
b'\x03896634768000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4703001\x00\x00\x00\x00',
b'\x03896634768000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4703002\x00\x00\x00\x00',
b'\x03896634768100\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4703002\x00\x00\x00\x00',
b'\x03896634785000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4705001\x00\x00\x00\x00',
b'\x03896634785000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4710001\x00\x00\x00\x00',
b'\x03896634786000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4705001\x00\x00\x00\x00',
b'\x03896634786000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4710001\x00\x00\x00\x00',
b'\x03896634789000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4703002\x00\x00\x00\x00',
b'\x038966347A3000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4701003\x00\x00\x00\x00',
b'\x038966347A3000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4707001\x00\x00\x00\x00',
b'\x038966347B6000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4710001\x00\x00\x00\x00',
b'\x038966347B7000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4710001\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B47021\x00\x00\x00\x00\x00\x00',
b'8965B47022\x00\x00\x00\x00\x00\x00',
b'8965B47023\x00\x00\x00\x00\x00\x00',
b'8965B47050\x00\x00\x00\x00\x00\x00',
b'8965B47060\x00\x00\x00\x00\x00\x00', # This is the EPS with good angle sensor
],
(Ecu.esp, 0x7b0, None): [
b'F152647290\x00\x00\x00\x00\x00\x00',
b'F152647300\x00\x00\x00\x00\x00\x00',
b'F152647310\x00\x00\x00\x00\x00\x00',
b'F152647414\x00\x00\x00\x00\x00\x00',
b'F152647415\x00\x00\x00\x00\x00\x00',
b'F152647416\x00\x00\x00\x00\x00\x00',
b'F152647417\x00\x00\x00\x00\x00\x00',
b'F152647470\x00\x00\x00\x00\x00\x00',
b'F152647490\x00\x00\x00\x00\x00\x00',
b'F152647683\x00\x00\x00\x00\x00\x00',
b'F152647684\x00\x00\x00\x00\x00\x00',
b'F152647862\x00\x00\x00\x00\x00\x00',
b'F152647863\x00\x00\x00\x00\x00\x00',
b'F152647864\x00\x00\x00\x00\x00\x00',
b'F152647865\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881514702300\x00\x00\x00\x00',
b'881514703100\x00\x00\x00\x00',
b'881514704100\x00\x00\x00\x00',
b'881514706000\x00\x00\x00\x00',
b'881514706100\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702000\x00\x00\x00\x00',
b'8821F4702100\x00\x00\x00\x00',
b'8821F4702300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F4701300\x00\x00\x00\x00',
b'8646F4702001\x00\x00\x00\x00',
b'8646F4702100\x00\x00\x00\x00',
b'8646F4702200\x00\x00\x00\x00',
b'8646F4705000\x00\x00\x00\x00',
b'8646F4705200\x00\x00\x00\x00',
],
},
CAR.RAV4: {
(Ecu.engine, 0x7e0, None): [
b'\x02342Q1000\x00\x00\x00\x00\x00\x00\x00\x0054212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02342Q1100\x00\x00\x00\x00\x00\x00\x00\x0054212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02342Q1200\x00\x00\x00\x00\x00\x00\x00\x0054212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02342Q1300\x00\x00\x00\x00\x00\x00\x00\x0054212000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02342Q2000\x00\x00\x00\x00\x00\x00\x00\x0054213000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02342Q2100\x00\x00\x00\x00\x00\x00\x00\x0054213000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02342Q2200\x00\x00\x00\x00\x00\x00\x00\x0054213000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02342Q4000\x00\x00\x00\x00\x00\x00\x00\x0054215000\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B42063\x00\x00\x00\x00\x00\x00',
b'8965B42073\x00\x00\x00\x00\x00\x00',
b'8965B42082\x00\x00\x00\x00\x00\x00',
b'8965B42083\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F15260R102\x00\x00\x00\x00\x00\x00',
b'F15260R103\x00\x00\x00\x00\x00\x00',
b'F152642493\x00\x00\x00\x00\x00\x00',
b'F152642492\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881514201200\x00\x00\x00\x00',
b'881514201300\x00\x00\x00\x00',
b'881514201400\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702000\x00\x00\x00\x00',
b'8821F4702100\x00\x00\x00\x00',
b'8821F4702300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F4201200\x00\x00\x00\x00',
b'8646F4202001\x00\x00\x00\x00',
b'8646F4202100\x00\x00\x00\x00',
b'8646F4204000\x00\x00\x00\x00',
],
},
CAR.RAV4H: {
(Ecu.engine, 0x7e0, None): [
b'\x02342N9000\x00\x00\x00\x00\x00\x00\x00\x00A4701000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02342N9100\x00\x00\x00\x00\x00\x00\x00\x00A4701000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02342P0000\x00\x00\x00\x00\x00\x00\x00\x00A4701000\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B42102\x00\x00\x00\x00\x00\x00',
b'8965B42103\x00\x00\x00\x00\x00\x00',
b'8965B42112\x00\x00\x00\x00\x00\x00',
b'8965B42162\x00\x00\x00\x00\x00\x00',
b'8965B42163\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152642090\x00\x00\x00\x00\x00\x00',
b'F152642110\x00\x00\x00\x00\x00\x00',
b'F152642120\x00\x00\x00\x00\x00\x00',
b'F152642400\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881514202200\x00\x00\x00\x00',
b'881514202300\x00\x00\x00\x00',
b'881514202400\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702000\x00\x00\x00\x00',
b'8821F4702100\x00\x00\x00\x00',
b'8821F4702300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F4201100\x00\x00\x00\x00',
b'8646F4201200\x00\x00\x00\x00',
b'8646F4202001\x00\x00\x00\x00',
b'8646F4202100\x00\x00\x00\x00',
b'8646F4204000\x00\x00\x00\x00',
],
},
CAR.RAV4_TSS2: {
(Ecu.engine, 0x700, None): [
b'\x01896630R58000\x00\x00\x00\x00',
b'\x01896630R58100\x00\x00\x00\x00',
b'\x018966342E2000\x00\x00\x00\x00',
b'\x018966342M8000\x00\x00\x00\x00',
b'\x018966342S9000\x00\x00\x00\x00',
b'\x018966342T1000\x00\x00\x00\x00',
b'\x018966342T6000\x00\x00\x00\x00',
b'\x018966342T9000\x00\x00\x00\x00',
b'\x018966342U4000\x00\x00\x00\x00',
b'\x018966342U4100\x00\x00\x00\x00',
b'\x018966342V3000\x00\x00\x00\x00',
b'\x018966342V3100\x00\x00\x00\x00',
b'\x018966342V3200\x00\x00\x00\x00',
b'\x01896634A05000\x00\x00\x00\x00',
b'\x01896634A19000\x00\x00\x00\x00',
b'\x01896634A19100\x00\x00\x00\x00',
b'\x01896634A20000\x00\x00\x00\x00',
b'\x01896634A20100\x00\x00\x00\x00',
b'\x01896634A22000\x00\x00\x00\x00',
b'\x01896634A22100\x00\x00\x00\x00',
b'\x01896634A30000\x00\x00\x00\x00',
b'\x01896634A44000\x00\x00\x00\x00',
b'\x01896634A45000\x00\x00\x00\x00',
b'\x01896634A46000\x00\x00\x00\x00',
b'\x028966342M7000\x00\x00\x00\x00897CF1201001\x00\x00\x00\x00',
b'\x028966342T0000\x00\x00\x00\x00897CF1201001\x00\x00\x00\x00',
b'\x028966342V1000\x00\x00\x00\x00897CF1202001\x00\x00\x00\x00',
b'\x028966342Y8000\x00\x00\x00\x00897CF1201001\x00\x00\x00\x00',
b'\x02896634A18000\x00\x00\x00\x00897CF1201001\x00\x00\x00\x00',
b'\x02896634A18100\x00\x00\x00\x00897CF1201001\x00\x00\x00\x00',
b'\x02896634A43000\x00\x00\x00\x00897CF4201001\x00\x00\x00\x00',
b'\x02896634A47000\x00\x00\x00\x00897CF4201001\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'\x01F15260R210\x00\x00\x00\x00\x00\x00',
b'\x01F15260R220\x00\x00\x00\x00\x00\x00',
b'\x01F15260R290\x00\x00\x00\x00\x00\x00',
b'\x01F15260R300\x00\x00\x00\x00\x00\x00',
b'\x01F152642551\x00\x00\x00\x00\x00\x00',
b'\x01F152642561\x00\x00\x00\x00\x00\x00',
b'\x01F152642700\x00\x00\x00\x00\x00\x00',
b'\x01F152642701\x00\x00\x00\x00\x00\x00',
b'\x01F152642710\x00\x00\x00\x00\x00\x00',
b'\x01F152642711\x00\x00\x00\x00\x00\x00',
b'\x01F152642750\x00\x00\x00\x00\x00\x00',
b'\x01F152642751\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B42170\x00\x00\x00\x00\x00\x00',
b'8965B42171\x00\x00\x00\x00\x00\x00',
b'8965B42180\x00\x00\x00\x00\x00\x00',
b'8965B42181\x00\x00\x00\x00\x00\x00',
b'\x028965B0R01200\x00\x00\x00\x008965B0R02200\x00\x00\x00\x00',
b'\x028965B0R01300\x00\x00\x00\x008965B0R02300\x00\x00\x00\x00',
b'\x028965B0R01400\x00\x00\x00\x008965B0R02400\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301100\x00\x00\x00\x00',
b'\x018821F3301200\x00\x00\x00\x00',
b'\x018821F3301300\x00\x00\x00\x00',
b'\x018821F3301400\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F4203200\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F4203300\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F4203400\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F4203500\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F4203700\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
b'\x028646F4203800\x00\x00\x00\x008646G2601500\x00\x00\x00\x00',
],
},
CAR.RAV4H_TSS2: {
(Ecu.engine, 0x700, None): [
b'\x01896634A15000\x00\x00\x00\x00',
b'\x018966342M5000\x00\x00\x00\x00',
b'\x018966342W8000\x00\x00\x00\x00',
b'\x018966342X5000\x00\x00\x00\x00',
b'\x018966342X6000\x00\x00\x00\x00',
b'\x01896634A25000\x00\x00\x00\x00',
b'\x018966342W5000\x00\x00\x00\x00',
b'\x028966342W4001\x00\x00\x00\x00897CF1203001\x00\x00\x00\x00',
b'\x02896634A13001\x00\x00\x00\x00897CF4801001\x00\x00\x00\x00',
b'\x02896634A13101\x00\x00\x00\x00897CF4801001\x00\x00\x00\x00',
b'\x02896634A14001\x00\x00\x00\x00897CF1203001\x00\x00\x00\x00',
b'\x02896634A23001\x00\x00\x00\x00897CF1203001\x00\x00\x00\x00',
b'\x02896634A14001\x00\x00\x00\x00897CF4801001\x00\x00\x00\x00',
b'\x02896634A14101\x00\x00\x00\x00897CF4801001\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152642291\x00\x00\x00\x00\x00\x00',
b'F152642290\x00\x00\x00\x00\x00\x00',
b'F152642330\x00\x00\x00\x00\x00\x00',
b'F152642331\x00\x00\x00\x00\x00\x00',
b'F152642531\x00\x00\x00\x00\x00\x00',
b'F152642532\x00\x00\x00\x00\x00\x00',
b'F152642520\x00\x00\x00\x00\x00\x00',
b'F152642521\x00\x00\x00\x00\x00\x00',
b'F152642540\x00\x00\x00\x00\x00\x00',
b'F152642541\x00\x00\x00\x00\x00\x00',
b'F152642542\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B42170\x00\x00\x00\x00\x00\x00',
b'8965B42171\x00\x00\x00\x00\x00\x00',
b'8965B42180\x00\x00\x00\x00\x00\x00',
b'8965B42181\x00\x00\x00\x00\x00\x00',
b'\x028965B0R01200\x00\x00\x00\x008965B0R02200\x00\x00\x00\x00',
b'\x028965B0R01300\x00\x00\x00\x008965B0R02300\x00\x00\x00\x00',
b'\x028965B0R01400\x00\x00\x00\x008965B0R02400\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301100\x00\x00\x00\x00',
b'\x018821F3301200\x00\x00\x00\x00',
b'\x018821F3301300\x00\x00\x00\x00',
b'\x018821F3301400\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F4203200\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F4203300\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F4203400\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F4203500\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F4203700\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
b'\x028646F4203800\x00\x00\x00\x008646G2601500\x00\x00\x00\x00',
],
},
CAR.LEXUS_ES_TSS2: {
(Ecu.engine, 0x700, None): [
b'\x01896630EC9100\x00\x00\x00\x00',
b'\x018966333T5000\x00\x00\x00\x00',
b'\x018966333T5100\x00\x00\x00\x00',
b'\x018966333X6000\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'\x01F152606281\x00\x00\x00\x00\x00\x00',
b'\x01F152606340\x00\x00\x00\x00\x00\x00',
b'\x01F15260E031\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B33252\x00\x00\x00\x00\x00\x00',
b'8965B33590\x00\x00\x00\x00\x00\x00',
b'8965B48271\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301100\x00\x00\x00\x00',
b'\x018821F3301200\x00\x00\x00\x00',
b'\x018821F3301400\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F33030D0\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F3303200\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F3304100\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F4810200\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
],
},
CAR.SIENNA: {
(Ecu.engine, 0x700, None): [
b'\x01896630832100\x00\x00\x00\x00',
b'\x01896630832200\x00\x00\x00\x00',
b'\x01896630838000\x00\x00\x00\x00',
b'\x01896630838100\x00\x00\x00\x00',
b'\x01896630842000\x00\x00\x00\x00',
b'\x01896630843000\x00\x00\x00\x00',
b'\x01896630851000\x00\x00\x00\x00',
b'\x01896630851100\x00\x00\x00\x00',
b'\x01896630852100\x00\x00\x00\x00',
b'\x01896630859000\x00\x00\x00\x00',
b'\x01896630860000\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B45070\x00\x00\x00\x00\x00\x00',
b'8965B45080\x00\x00\x00\x00\x00\x00',
b'8965B45082\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152608130\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881510801100\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702100\x00\x00\x00\x00',
b'8821F4702200\x00\x00\x00\x00',
b'8821F4702300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F0801100\x00\x00\x00\x00',
],
},
CAR.LEXUS_CTH: {
(Ecu.dsu, 0x791, None): [
b'881517601100\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152676144\x00\x00\x00\x00\x00\x00',
],
(Ecu.engine, 0x7e0, None): [
b'\x0237635000\x00\x00\x00\x00\x00\x00\x00\x00A4701000\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F7601100\x00\x00\x00\x00',
],
},
CAR.LEXUS_ESH_TSS2: {
(Ecu.engine, 0x700, None): [
b'\x028966333S8000\x00\x00\x00\x00897CF3302002\x00\x00\x00\x00',
b'\x028966333T0100\x00\x00\x00\x00897CF3305001\x00\x00\x00\x00',
b'\x028966333V4000\x00\x00\x00\x00897CF3305001\x00\x00\x00\x00',
b'\x02896633T09000\x00\x00\x00\x00897CF3307001\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152633423\x00\x00\x00\x00\x00\x00',
b'F152633680\x00\x00\x00\x00\x00\x00',
b'F152633681\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B33252\x00\x00\x00\x00\x00\x00',
b'8965B33590\x00\x00\x00\x00\x00\x00',
b'8965B33690\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301100\x00\x00\x00\x00',
b'\x018821F3301200\x00\x00\x00\x00',
b'\x018821F3301300\x00\x00\x00\x00',
b'\x018821F3301400\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F33030D0\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F3303100\x00\x00\x00\x008646G26011A0\x00\x00\x00\x00',
b'\x028646F3304100\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
b'\x028646F3304200\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
],
},
CAR.LEXUS_ESH: {
(Ecu.engine, 0x7e0, None): [
b'\x02333M4200\x00\x00\x00\x00\x00\x00\x00\x00A4701000\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152633171\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881513310400\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B33512\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4701100\x00\x00\x00\x00',
b'8821F4701300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F3302001\x00\x00\x00\x00',
b'8646F3302200\x00\x00\x00\x00',
],
},
CAR.LEXUS_NX: {
(Ecu.engine, 0x700, None): [
b'\x01896637851000\x00\x00\x00\x00',
b'\x01896637852000\x00\x00\x00\x00',
b'\x01896637854000\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152678130\x00\x00\x00\x00\x00\x00',
b'F152678140\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881517803100\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B78060\x00\x00\x00\x00\x00\x00',
b'8965B78080\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702100\x00\x00\x00\x00',
b'8821F4702300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F7801100\x00\x00\x00\x00',
],
},
CAR.LEXUS_NX_TSS2: {
(Ecu.engine, 0x700, None): [
b'\x018966378B2100\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'\x01F152678221\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B78120\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b"\x018821F3301400\x00\x00\x00\x00",
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F78030A0\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
],
},
CAR.LEXUS_NXH: {
(Ecu.engine, 0x7e0, None): [
b'\x0237882000\x00\x00\x00\x00\x00\x00\x00\x00A4701000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0237841000\x00\x00\x00\x00\x00\x00\x00\x00A4701000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0237886000\x00\x00\x00\x00\x00\x00\x00\x00A4701000\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152678160\x00\x00\x00\x00\x00\x00',
b'F152678170\x00\x00\x00\x00\x00\x00',
b'F152678171\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881517804300\x00\x00\x00\x00',
b'881517804100\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B78060\x00\x00\x00\x00\x00\x00',
b'8965B78080\x00\x00\x00\x00\x00\x00',
b'8965B78100\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4702300\x00\x00\x00\x00',
b'8821F4702100\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F7801300\x00\x00\x00\x00',
b'8646F7801100\x00\x00\x00\x00',
],
},
CAR.LEXUS_RX: {
(Ecu.engine, 0x700, None): [
b'\x01896630E36200\x00\x00\x00\x00',
b'\x01896630E36300\x00\x00\x00\x00',
b'\x01896630E37200\x00\x00\x00\x00',
b'\x01896630E37300\x00\x00\x00\x00',
b'\x01896630E41000\x00\x00\x00\x00',
b'\x01896630E41100\x00\x00\x00\x00',
b'\x01896630E41200\x00\x00\x00\x00',
b'\x01896630EA4100\x00\x00\x00\x00',
b'\x01896630EA4300\x00\x00\x00\x00',
b'\x01896630EA6300\x00\x00\x00\x00',
b'\x018966348R1300\x00\x00\x00\x00',
b'\x018966348R8500\x00\x00\x00\x00',
b'\x018966348W1300\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152648472\x00\x00\x00\x00\x00\x00',
b'F152648473\x00\x00\x00\x00\x00\x00',
b'F152648492\x00\x00\x00\x00\x00\x00',
b'F152648493\x00\x00\x00\x00\x00\x00',
b'F152648474\x00\x00\x00\x00\x00\x00',
b'F152648630\x00\x00\x00\x00\x00\x00',
b'F152648494\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881514810300\x00\x00\x00\x00',
b'881514810500\x00\x00\x00\x00',
b'881514810700\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B0E011\x00\x00\x00\x00\x00\x00',
b'8965B0E012\x00\x00\x00\x00\x00\x00',
b'8965B48102\x00\x00\x00\x00\x00\x00',
b'8965B48112\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4701000\x00\x00\x00\x00',
b'8821F4701100\x00\x00\x00\x00',
b'8821F4701200\x00\x00\x00\x00',
b'8821F4701300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F4801100\x00\x00\x00\x00',
b'8646F4801200\x00\x00\x00\x00',
b'8646F4802001\x00\x00\x00\x00',
b'8646F4802100\x00\x00\x00\x00',
b'8646F4802200\x00\x00\x00\x00',
b'8646F4809000\x00\x00\x00\x00',
],
},
CAR.LEXUS_RXH: {
(Ecu.engine, 0x7e0, None): [
b'\x02348J7000\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02348N0000\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02348Q4000\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02348Q4100\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02348T1100\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02348T3000\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02348V6000\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x02348Z3000\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152648361\x00\x00\x00\x00\x00\x00',
b'F152648501\x00\x00\x00\x00\x00\x00',
b'F152648502\x00\x00\x00\x00\x00\x00',
b'F152648504\x00\x00\x00\x00\x00\x00',
b'F152648740\x00\x00\x00\x00\x00\x00',
b'F152648A30\x00\x00\x00\x00\x00\x00',
],
(Ecu.dsu, 0x791, None): [
b'881514811300\x00\x00\x00\x00',
b'881514811500\x00\x00\x00\x00',
b'881514811700\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B0E011\x00\x00\x00\x00\x00\x00',
b'8965B0E012\x00\x00\x00\x00\x00\x00',
b'8965B48111\x00\x00\x00\x00\x00\x00',
b'8965B48112\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'8821F4701000\x00\x00\x00\x00',
b'8821F4701100\x00\x00\x00\x00',
b'8821F4701200\x00\x00\x00\x00',
b'8821F4701300\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'8646F4801200\x00\x00\x00\x00',
b'8646F4802001\x00\x00\x00\x00',
b'8646F4802100\x00\x00\x00\x00',
b'8646F4802200\x00\x00\x00\x00',
b'8646F4809000\x00\x00\x00\x00',
],
},
CAR.LEXUS_RX_TSS2: {
(Ecu.engine, 0x700, None): [
b'\x01896630EC9000\x00\x00\x00\x00',
b'\x01896634D12000\x00\x00\x00\x00',
b'\x01896630EB0000\x00\x00\x00\x00',
b'\x01896630EA9000\x00\x00\x00\x00',
b'\x01896630ED0000\x00\x00\x00\x00',
b'\x018966348W9000\x00\x00\x00\x00',
b'\x01896634D12100\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'\x01F152648801\x00\x00\x00\x00\x00\x00',
b'\x01F15260E031\x00\x00\x00\x00\x00\x00',
b'\x01F15260E041\x00\x00\x00\x00\x00\x00',
b'\x01F152648781\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B48271\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301100\x00\x00\x00\x00',
b'\x018821F3301300\x00\x00\x00\x00',
b'\x018821F3301400\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F4810200\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
b'\x028646F4810100\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
],
},
CAR.LEXUS_RXH_TSS2: {
(Ecu.engine, 0x7e0, None): [
b'\x02348X8000\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
b'\x0234D16000\x00\x00\x00\x00\x00\x00\x00\x00A4802000\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152648831\x00\x00\x00\x00\x00\x00',
b'F152648D60\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B48271\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301400\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F4810200\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
b'\x028646F4810100\x00\x00\x00\x008646G2601200\x00\x00\x00\x00',
],
},
CAR.PRIUS_TSS2: {
(Ecu.engine, 0x700, None): [
b'\x028966347C8000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
b'\x038966347C1000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4710101\x00\x00\x00\x00',
b'\x038966347C5000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4707101\x00\x00\x00\x00',
b'\x038966347C5100\x00\x00\x00\x008966A4703000\x00\x00\x00\x00897CF4707101\x00\x00\x00\x00',
],
(Ecu.esp, 0x7b0, None): [
b'F152647500\x00\x00\x00\x00\x00\x00',
b'F152647510\x00\x00\x00\x00\x00\x00',
b'F152647520\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7a1, None): [
b'8965B47070\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301400\x00\x00\x00\x00',
],
(Ecu.fwdCamera, 0x750, 0x6d): [
b'\x028646F4707000\x00\x00\x00\x008646G2601400\x00\x00\x00\x00',
],
},
CAR.MIRAI: {
(Ecu.esp, 0x7D1, None): [b'\x01898A36203000\x00\x00\x00\x00',],
(Ecu.esp, 0x7B0, None): [b'\x01F15266203200\x00\x00\x00\x00',], # a second ESP ECU
(Ecu.eps, 0x7A1, None): [b'\x028965B6204100\x00\x00\x00\x008965B6203100\x00\x00\x00\x00',],
(Ecu.fwdRadar, 0x750, 0xf): [b'\x018821F6201200\x00\x00\x00\x00',],
(Ecu.fwdCamera, 0x750, 0x6d): [b'\x028646F6201400\x00\x00\x00\x008646G5301200\x00\x00\x00\x00',],
},
}
STEER_THRESHOLD = 100
DBC = {
CAR.RAV4H: dbc_dict('toyota_rav4_hybrid_2017_pt_generated', 'toyota_adas'),
CAR.RAV4: dbc_dict('toyota_rav4_2017_pt_generated', 'toyota_adas'),
CAR.PRIUS: dbc_dict('toyota_prius_2017_pt_generated', 'toyota_adas'),
CAR.COROLLA: dbc_dict('toyota_corolla_2017_pt_generated', 'toyota_adas'),
CAR.LEXUS_RX: dbc_dict('lexus_rx_350_2016_pt_generated', 'toyota_adas'),
CAR.LEXUS_RXH: dbc_dict('lexus_rx_hybrid_2017_pt_generated', 'toyota_adas'),
CAR.LEXUS_RX_TSS2: dbc_dict('toyota_nodsu_pt_generated', 'toyota_tss2_adas'),
CAR.LEXUS_RXH_TSS2: dbc_dict('toyota_nodsu_hybrid_pt_generated', 'toyota_tss2_adas'),
CAR.CHR: dbc_dict('toyota_nodsu_pt_generated', 'toyota_adas'),
CAR.CHRH: dbc_dict('toyota_nodsu_hybrid_pt_generated', 'toyota_adas'),
CAR.CAMRY: dbc_dict('toyota_nodsu_pt_generated', 'toyota_adas'),
CAR.CAMRYH: dbc_dict('toyota_camry_hybrid_2018_pt_generated', 'toyota_adas'),
CAR.CAMRY_TSS2: dbc_dict('toyota_nodsu_pt_generated', 'toyota_tss2_adas'),
CAR.CAMRYH_TSS2: dbc_dict('toyota_nodsu_hybrid_pt_generated', 'toyota_tss2_adas'),
CAR.HIGHLANDER: dbc_dict('toyota_highlander_2017_pt_generated', 'toyota_adas'),
CAR.HIGHLANDER_TSS2: dbc_dict('toyota_nodsu_pt_generated', 'toyota_tss2_adas'),
CAR.HIGHLANDERH: dbc_dict('toyota_highlander_hybrid_2018_pt_generated', 'toyota_adas'),
CAR.HIGHLANDERH_TSS2: dbc_dict('toyota_nodsu_hybrid_pt_generated', 'toyota_tss2_adas'),
CAR.AVALON: dbc_dict('toyota_avalon_2017_pt_generated', 'toyota_adas'),
CAR.RAV4_TSS2: dbc_dict('toyota_nodsu_pt_generated', 'toyota_tss2_adas'),
CAR.COROLLA_TSS2: dbc_dict('toyota_nodsu_pt_generated', 'toyota_tss2_adas'),
CAR.COROLLAH_TSS2: dbc_dict('toyota_nodsu_hybrid_pt_generated', 'toyota_tss2_adas'),
CAR.LEXUS_ES_TSS2: dbc_dict('toyota_nodsu_pt_generated', 'toyota_tss2_adas'),
CAR.LEXUS_ESH_TSS2: dbc_dict('toyota_nodsu_hybrid_pt_generated', 'toyota_tss2_adas'),
CAR.LEXUS_ESH: dbc_dict('lexus_ct200h_2018_pt_generated', 'toyota_adas'),
CAR.SIENNA: dbc_dict('toyota_sienna_xle_2018_pt_generated', 'toyota_adas'),
CAR.LEXUS_IS: dbc_dict('lexus_is_2018_pt_generated', 'toyota_adas'),
CAR.LEXUS_CTH: dbc_dict('lexus_ct200h_2018_pt_generated', 'toyota_adas'),
CAR.RAV4H_TSS2: dbc_dict('toyota_nodsu_hybrid_pt_generated', 'toyota_tss2_adas'),
CAR.LEXUS_NXH: dbc_dict('lexus_nx300h_2018_pt_generated', 'toyota_adas'),
CAR.LEXUS_NX: dbc_dict('lexus_nx300_2018_pt_generated', 'toyota_adas'),
CAR.LEXUS_NX_TSS2: dbc_dict('toyota_nodsu_pt_generated', 'toyota_tss2_adas'),
CAR.PRIUS_TSS2: dbc_dict('toyota_nodsu_hybrid_pt_generated', 'toyota_tss2_adas'),
CAR.MIRAI: dbc_dict('toyota_nodsu_hybrid_pt_generated', 'toyota_tss2_adas'),
}
# Toyota/Lexus Safety Sense 2.0 and 2.5
TSS2_CAR = set([CAR.RAV4_TSS2, CAR.COROLLA_TSS2, CAR.COROLLAH_TSS2, CAR.LEXUS_ES_TSS2, CAR.LEXUS_ESH_TSS2, CAR.RAV4H_TSS2,
CAR.LEXUS_RX_TSS2, CAR.LEXUS_RXH_TSS2, CAR.HIGHLANDER_TSS2, CAR.HIGHLANDERH_TSS2, CAR.PRIUS_TSS2, CAR.CAMRY_TSS2, CAR.CAMRYH_TSS2,
CAR.MIRAI, CAR.LEXUS_NX_TSS2])
NO_DSU_CAR = TSS2_CAR | set([CAR.CHR, CAR.CHRH, CAR.CAMRY, CAR.CAMRYH])
# no resume button press required
NO_STOP_TIMER_CAR = TSS2_CAR | set([CAR.RAV4H, CAR.HIGHLANDERH, CAR.HIGHLANDER, CAR.SIENNA, CAR.LEXUS_ESH])
| 72.159834 | 1,376 | 0.590448 | 22,876 | 121,445 | 3.115492 | 0.057965 | 0.327234 | 0.357247 | 0.299369 | 0.847987 | 0.8008 | 0.791062 | 0.740929 | 0.731781 | 0.68176 | 0 | 0.563018 | 0.202816 | 121,445 | 1,682 | 1,377 | 72.202735 | 0.173136 | 0.010408 | 0 | 0.433579 | 0 | 0.051661 | 0.317364 | 0.295038 | 0 | 0 | 0.010564 | 0.000595 | 0 | 1 | 0 | false | 0 | 0.00123 | 0 | 0.02829 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 |
d9f62c5db7dffd1e27475df58d481eefa6d103b3 | 311,171 | py | Python | lib/gdata/test_data.py | mtktauseef/wordpresstoblogger | 151cc2e1b6c7f4f835dc51dfb8f50a1b0d5caa74 | [
"Apache-2.0"
] | 2 | 2015-05-15T20:28:45.000Z | 2017-07-23T20:35:59.000Z | lib/gdata/test_data.py | mtktauseef/wordpresstoblogger | 151cc2e1b6c7f4f835dc51dfb8f50a1b0d5caa74 | [
"Apache-2.0"
] | null | null | null | lib/gdata/test_data.py | mtktauseef/wordpresstoblogger | 151cc2e1b6c7f4f835dc51dfb8f50a1b0d5caa74 | [
"Apache-2.0"
] | 2 | 2021-05-03T01:30:32.000Z | 2022-03-23T19:53:08.000Z | #!/usr/bin/python
#
# Copyright (C) 2006 Google Inc.
#
# 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_ENTRY_1 = """<?xml version='1.0'?>
<entry xmlns='http://www.w3.org/2005/Atom'
xmlns:g='http://base.google.com/ns/1.0'>
<category scheme="http://base.google.com/categories/itemtypes"
term="products"/>
<id> http://www.google.com/test/id/url </id>
<title type='text'>Testing 2000 series laptop</title>
<content type='xhtml'>
<div xmlns='http://www.w3.org/1999/xhtml'>A Testing Laptop</div>
</content>
<link rel='alternate' type='text/html'
href='http://www.provider-host.com/123456789'/>
<link rel='license'
href='http://creativecommons.org/licenses/by-nc/2.5/rdf'/>
<g:label>Computer</g:label>
<g:label>Laptop</g:label>
<g:label>testing laptop</g:label>
<g:item_type>products</g:item_type>
</entry>"""
TEST_BASE_ENTRY = """<?xml version='1.0'?>
<entry xmlns='http://www.w3.org/2005/Atom'
xmlns:g='http://base.google.com/ns/1.0'>
<category scheme="http://base.google.com/categories/itemtypes"
term="products"/>
<title type='text'>Testing 2000 series laptop</title>
<content type='xhtml'>
<div xmlns='http://www.w3.org/1999/xhtml'>A Testing Laptop</div>
</content>
<app:control xmlns:app='http://purl.org/atom/app#'>
<app:draft>yes</app:draft>
<gm:disapproved xmlns:gm='http://base.google.com/ns-metadata/1.0'/>
</app:control>
<link rel='alternate' type='text/html'
href='http://www.provider-host.com/123456789'/>
<g:label>Computer</g:label>
<g:label>Laptop</g:label>
<g:label>testing laptop</g:label>
<g:item_type>products</g:item_type>
</entry>"""
BIG_FEED = """<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
<title type="text">dive into mark</title>
<subtitle type="html">
A <em>lot</em> of effort
went into making this effortless
</subtitle>
<updated>2005-07-31T12:29:29Z</updated>
<id>tag:example.org,2003:3</id>
<link rel="alternate" type="text/html"
hreflang="en" href="http://example.org/"/>
<link rel="self" type="application/atom+xml"
href="http://example.org/feed.atom"/>
<rights>Copyright (c) 2003, Mark Pilgrim</rights>
<generator uri="http://www.example.com/" version="1.0">
Example Toolkit
</generator>
<entry>
<title>Atom draft-07 snapshot</title>
<link rel="alternate" type="text/html"
href="http://example.org/2005/04/02/atom"/>
<link rel="enclosure" type="audio/mpeg" length="1337"
href="http://example.org/audio/ph34r_my_podcast.mp3"/>
<id>tag:example.org,2003:3.2397</id>
<updated>2005-07-31T12:29:29Z</updated>
<published>2003-12-13T08:29:29-04:00</published>
<author>
<name>Mark Pilgrim</name>
<uri>http://example.org/</uri>
<email>f8dy@example.com</email>
</author>
<contributor>
<name>Sam Ruby</name>
</contributor>
<contributor>
<name>Joe Gregorio</name>
</contributor>
<content type="xhtml" xml:lang="en"
xml:base="http://diveintomark.org/">
<div xmlns="http://www.w3.org/1999/xhtml">
<p><i>[Update: The Atom draft is finished.]</i></p>
</div>
</content>
</entry>
</feed>
"""
SMALL_FEED = """<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
<title>Example Feed</title>
<link href="http://example.org/"/>
<updated>2003-12-13T18:30:02Z</updated>
<author>
<name>John Doe</name>
</author>
<id>urn:uuid:60a76c80-d399-11d9-b93C-0003939e0af6</id>
<entry>
<title>Atom-Powered Robots Run Amok</title>
<link href="http://example.org/2003/12/13/atom03"/>
<id>urn:uuid:1225c695-cfb8-4ebb-aaaa-80da344efa6a</id>
<updated>2003-12-13T18:30:02Z</updated>
<summary>Some text.</summary>
</entry>
</feed>
"""
GBASE_FEED = """<?xml version='1.0' encoding='UTF-8'?>
<feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:g='http://base.google.com/ns/1.0' xmlns:batch='http://schemas.google.com/gdata/batch'>
<id>http://www.google.com/base/feeds/snippets</id>
<updated>2007-02-08T23:18:21.935Z</updated>
<title type='text'>Items matching query: digital camera</title>
<link rel='alternate' type='text/html' href='http://base.google.com'>
</link>
<link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://www.google.com/base/feeds/snippets'>
</link>
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<generator version='1.0' uri='http://base.google.com'>GoogleBase </generator>
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<updated>2007-02-08T16:40:57.000Z</updated>
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<title type='text'>Digital Camera Battery Notebook Computer 12v DC Power Cable - 5.5mm x 2.5mm (Center +) Camera Connecting Cables</title>
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<title type='text'>Digital Camera Battery Electronic Device 5v DC Power Cable - 5.5mm x 2.5mm (Center +) Camera Connecting Cables</title>
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<category scheme='http://base.google.com/categories/itemtypes' term='Products'>
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<title type='text'>Digital Camera Battery Power Cable for Kodak 645 Pro-Back ProBack & DCS-300 Series Camera Connecting Cables</title>
<content type='html'>Camera Connection Cable - to Power Kodak 645 Pro-Back DCS-300 Series Digital Cameras This connection cable will allow any Digital Pursuits battery pack to power the following digital cameras: Kodak DCS Pro Back 645 DCS-300 series Digital Photography ...</content>
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"""
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<author xmlns="http://www.w3.org/2005/Atom">
<name xmlns="http://www.w3.org/2005/Atom">John Doe</name>
<email xmlns="http://www.w3.org/2005/Atom">johndoes@someemailadress.com</email>
<uri xmlns="http://www.w3.org/2005/Atom">http://www.google.com</uri>
</author>
"""
TEST_LINK = """<?xml version="1.0" encoding="utf-8"?>
<link xmlns="http://www.w3.org/2005/Atom" href="http://www.google.com"
rel="test rel" foo1="bar" foo2="rab"/>
"""
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<g:brand type='text' xmlns:g="http://base.google.com/ns/1.0">Digital Camera Battery</g:brand>
"""
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<updated>2007-03-20T22:48:57.833Z</updated>
<title type='text'>GData Ops Demo's Calendar List</title>
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<published>2007-03-20T22:48:57.837Z</published>
<updated>2007-03-20T22:48:53.000Z</updated>
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<author>
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<title type='text'>test deleted</title>
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<link rel='edit' type='application/atom+xml'
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<author>
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<updated>2007-03-20T21:25:46.000Z</updated>
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href='http://www.google.com/calendar/event?eid=b2ZsMWU0NXVidHNvaDZndHUxMjdjbHMyb28gZ2RhdGEub3BzLmRlbW9AbQ'
title='alternate'></link>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/ofl1e45ubtsoh6gtu127cls2oo'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/ofl1e45ubtsoh6gtu127cls2oo/63310109108'>
</link>
<author>
<name>GData Ops Demo</name>
<email>gdata.ops.demo@gmail.com</email>
</author>
<gCal:sendEventNotifications value='false'>
</gCal:sendEventNotifications>
<gd:eventStatus value='http://schemas.google.com/g/2005#event.confirmed'>
</gd:eventStatus>
<gd:comments>
<gd:feedLink href='http://www.google.com/calendar/feeds/default/private/full/ofl1e45ubtsoh6gtu127cls2oo/comments'>
</gd:feedLink>
</gd:comments>
<gd:visibility value='http://schemas.google.com/g/2005#event.default'>
</gd:visibility>
<gd:transparency value='http://schemas.google.com/g/2005#event.opaque'>
</gd:transparency>
<gd:when startTime='2007-03-20T19:00:00.000-07:00'
endTime='2007-03-20T21:30:00.000-07:00'>
<gd:reminder minutes='10'></gd:reminder>
</gd:when>
<gd:where></gd:where>
</entry>
<entry>
<id>
http://www.google.com/calendar/feeds/default/private/full/b69s2avfi2joigsclecvjlc91g</id>
<published>2007-03-20T21:24:19.000Z</published>
<updated>2007-03-20T21:25:05.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/g/2005#event'></category>
<title type='text'>Dinner with Jane and John</title>
<content type='text'></content>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=YjY5czJhdmZpMmpvaWdzY2xlY3ZqbGM5MWcgZ2RhdGEub3BzLmRlbW9AbQ'
title='alternate'></link>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/b69s2avfi2joigsclecvjlc91g'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/b69s2avfi2joigsclecvjlc91g/63310109105'>
</link>
<author>
<name>GData Ops Demo</name>
<email>gdata.ops.demo@gmail.com</email>
</author>
<gCal:sendEventNotifications value='false'>
</gCal:sendEventNotifications>
<gd:eventStatus value='http://schemas.google.com/g/2005#event.confirmed'>
</gd:eventStatus>
<gd:comments>
<gd:feedLink href='http://www.google.com/calendar/feeds/default/private/full/b69s2avfi2joigsclecvjlc91g/comments'>
</gd:feedLink>
</gd:comments>
<gd:visibility value='http://schemas.google.com/g/2005#event.default'>
</gd:visibility>
<gd:transparency value='http://schemas.google.com/g/2005#event.opaque'>
</gd:transparency>
<gd:when startTime='2007-03-22T17:00:00.000-07:00'
endTime='2007-03-22T19:30:00.000-07:00'>
<gd:reminder minutes='10'></gd:reminder>
</gd:when>
<gd:where></gd:where>
</entry>
<entry>
<id>
http://www.google.com/calendar/feeds/default/private/full/u9p66kkiotn8bqh9k7j4rcnjjc</id>
<published>2007-03-20T21:24:33.000Z</published>
<updated>2007-03-20T21:24:33.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/g/2005#event'></category>
<title type='text'>Tennis with Elizabeth</title>
<content type='text'></content>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=dTlwNjZra2lvdG44YnFoOWs3ajRyY25qamMgZ2RhdGEub3BzLmRlbW9AbQ'
title='alternate'></link>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/u9p66kkiotn8bqh9k7j4rcnjjc'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/u9p66kkiotn8bqh9k7j4rcnjjc/63310109073'>
</link>
<author>
<name>GData Ops Demo</name>
<email>gdata.ops.demo@gmail.com</email>
</author>
<gCal:sendEventNotifications value='false'>
</gCal:sendEventNotifications>
<gd:eventStatus value='http://schemas.google.com/g/2005#event.confirmed'>
</gd:eventStatus>
<gd:comments>
<gd:feedLink href='http://www.google.com/calendar/feeds/default/private/full/u9p66kkiotn8bqh9k7j4rcnjjc/comments'>
</gd:feedLink>
</gd:comments>
<gd:visibility value='http://schemas.google.com/g/2005#event.default'>
</gd:visibility>
<gd:transparency value='http://schemas.google.com/g/2005#event.opaque'>
</gd:transparency>
<gd:when startTime='2007-03-24T10:00:00.000-07:00'
endTime='2007-03-24T11:00:00.000-07:00'>
<gd:reminder minutes='10'></gd:reminder>
</gd:when>
<gd:where></gd:where>
</entry>
<entry>
<id>
http://www.google.com/calendar/feeds/default/private/full/76oj2kceidob3s708tvfnuaq3c</id>
<published>2007-03-20T21:24:00.000Z</published>
<updated>2007-03-20T21:24:00.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/g/2005#event'></category>
<title type='text'>Lunch with Jenn</title>
<content type='text'></content>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=NzZvajJrY2VpZG9iM3M3MDh0dmZudWFxM2MgZ2RhdGEub3BzLmRlbW9AbQ'
title='alternate'></link>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/76oj2kceidob3s708tvfnuaq3c'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/76oj2kceidob3s708tvfnuaq3c/63310109040'>
</link>
<author>
<name>GData Ops Demo</name>
<email>gdata.ops.demo@gmail.com</email>
</author>
<gCal:sendEventNotifications value='false'>
</gCal:sendEventNotifications>
<gd:eventStatus value='http://schemas.google.com/g/2005#event.confirmed'>
</gd:eventStatus>
<gd:comments>
<gd:feedLink href='http://www.google.com/calendar/feeds/default/private/full/76oj2kceidob3s708tvfnuaq3c/comments'>
</gd:feedLink>
</gd:comments>
<gd:visibility value='http://schemas.google.com/g/2005#event.default'>
</gd:visibility>
<gd:transparency value='http://schemas.google.com/g/2005#event.opaque'>
</gd:transparency>
<gd:when startTime='2007-03-20T11:30:00.000-07:00'
endTime='2007-03-20T12:30:00.000-07:00'>
<gd:reminder minutes='10'></gd:reminder>
</gd:when>
<gd:where></gd:where>
</entry>
<entry>
<id>
http://www.google.com/calendar/feeds/default/private/full/5np9ec8m7uoauk1vedh5mhodco</id>
<published>2007-03-20T07:50:02.000Z</published>
<updated>2007-03-20T20:39:26.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/g/2005#event'></category>
<title type='text'>test entry</title>
<content type='text'>test desc</content>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=NW5wOWVjOG03dW9hdWsxdmVkaDVtaG9kY28gZ2RhdGEub3BzLmRlbW9AbQ'
title='alternate'></link>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/5np9ec8m7uoauk1vedh5mhodco'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/5np9ec8m7uoauk1vedh5mhodco/63310106366'>
</link>
<author>
<name>GData Ops Demo</name>
<email>gdata.ops.demo@gmail.com</email>
</author>
<gCal:sendEventNotifications value='false'>
</gCal:sendEventNotifications>
<gd:eventStatus value='http://schemas.google.com/g/2005#event.confirmed'>
</gd:eventStatus>
<gd:comments>
<gd:feedLink href='http://www.google.com/calendar/feeds/default/private/full/5np9ec8m7uoauk1vedh5mhodco/comments'>
</gd:feedLink>
</gd:comments>
<gd:visibility value='http://schemas.google.com/g/2005#event.private'>
</gd:visibility>
<gd:transparency value='http://schemas.google.com/g/2005#event.opaque'>
</gd:transparency>
<gd:who rel='http://schemas.google.com/g/2005#event.attendee'
valueString='Vivian Li' email='vli@google.com'>
<gd:attendeeStatus value='http://schemas.google.com/g/2005#event.declined'>
</gd:attendeeStatus>
</gd:who>
<gd:who rel='http://schemas.google.com/g/2005#event.organizer'
valueString='GData Ops Demo' email='gdata.ops.demo@gmail.com'>
<gd:attendeeStatus value='http://schemas.google.com/g/2005#event.accepted'>
</gd:attendeeStatus>
</gd:who>
<gd:when startTime='2007-03-21T08:00:00.000-07:00'
endTime='2007-03-21T09:00:00.000-07:00'>
<gd:reminder minutes='10'></gd:reminder>
</gd:when>
<gd:where valueString='anywhere'></gd:where>
</entry>
<entry>
<id>
http://www.google.com/calendar/feeds/default/private/full/fu6sl0rqakf3o0a13oo1i1a1mg</id>
<published>2007-02-14T23:23:37.000Z</published>
<updated>2007-02-14T23:25:30.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/g/2005#event'></category>
<title type='text'>test</title>
<content type='text'></content>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=ZnU2c2wwcnFha2YzbzBhMTNvbzFpMWExbWcgZ2RhdGEub3BzLmRlbW9AbQ'
title='alternate'></link>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/fu6sl0rqakf3o0a13oo1i1a1mg'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/fu6sl0rqakf3o0a13oo1i1a1mg/63307178730'>
</link>
<link rel="http://schemas.google.com/gCal/2005/webContent" title="World Cup" href="http://www.google.com/calendar/images/google-holiday.gif" type="image/gif">
<gCal:webContent width="276" height="120" url="http://www.google.com/logos/worldcup06.gif" />
</link>
<author>
<name>GData Ops Demo</name>
<email>gdata.ops.demo@gmail.com</email>
</author>
<gCal:sendEventNotifications value='false'>
</gCal:sendEventNotifications>
<gd:eventStatus value='http://schemas.google.com/g/2005#event.confirmed'>
</gd:eventStatus>
<gd:comments>
<gd:feedLink href='http://www.google.com/calendar/feeds/default/private/full/fu6sl0rqakf3o0a13oo1i1a1mg/comments'>
</gd:feedLink>
</gd:comments>
<gd:visibility value='http://schemas.google.com/g/2005#event.default'>
</gd:visibility>
<gd:transparency value='http://schemas.google.com/g/2005#event.opaque'>
</gd:transparency>
<gd:when startTime='2007-02-15T08:30:00.000-08:00'
endTime='2007-02-15T09:30:00.000-08:00'>
<gd:reminder minutes='10'></gd:reminder>
</gd:when>
<gd:where></gd:where>
</entry>
<entry>
<id>
http://www.google.com/calendar/feeds/default/private/full/h7a0haa4da8sil3rr19ia6luvc</id>
<published>2007-07-16T22:13:28.000Z</published>
<updated>2007-07-16T22:13:29.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/g/2005#event' />
<title type='text'></title>
<content type='text' />
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=aDdhMGhhYTRkYThzaWwzcnIxOWlhNmx1dmMgZ2RhdGEub3BzLmRlbW9AbQ'
title='alternate' />
<link rel='http://schemas.google.com/gCal/2005/webContent'
type='application/x-google-gadgets+xml'
href='http://gdata.ops.demo.googlepages.com/birthdayicon.gif'
title='Date and Time Gadget'>
<gCal:webContent width='300' height='136'
url='http://google.com/ig/modules/datetime.xml'>
<gCal:webContentGadgetPref name='color' value='green' />
</gCal:webContent>
</link>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/h7a0haa4da8sil3rr19ia6luvc' />
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/h7a0haa4da8sil3rr19ia6luvc/63320307209' />
<author>
<name>GData Ops Demo</name>
<email>gdata.ops.demo@gmail.com</email>
</author>
<gd:comments>
<gd:feedLink href='http://www.google.com/calendar/feeds/default/private/full/h7a0haa4da8sil3rr19ia6luvc/comments' />
</gd:comments>
<gCal:sendEventNotifications value='false'>
</gCal:sendEventNotifications>
<gd:eventStatus value='http://schemas.google.com/g/2005#event.confirmed' />
<gd:visibility value='http://schemas.google.com/g/2005#event.default' />
<gd:transparency value='http://schemas.google.com/g/2005#event.opaque' />
<gd:when startTime='2007-03-14' endTime='2007-03-15' />
<gd:where />
</entry>
</feed>
"""
CALENDAR_BATCH_REQUEST = """<?xml version='1.0' encoding='utf-8'?>
<feed xmlns='http://www.w3.org/2005/Atom'
xmlns:batch='http://schemas.google.com/gdata/batch'
xmlns:gCal='http://schemas.google.com/gCal/2005'>
<category scheme='http://schemas.google.com/g/2005#kind' term='http://schemas.google.com/g/2005#event' />
<entry>
<batch:id>1</batch:id>
<batch:operation type='insert' />
<category scheme='http://schemas.google.com/g/2005#kind' term='http://schemas.google.com/g/2005#event' />
<title type='text'>Event inserted via batch</title>
</entry>
<entry>
<batch:id>2</batch:id>
<batch:operation type='query' />
<id>http://www.google.com/calendar/feeds/default/private/full/glcs0kv2qqa0gf52qi1jo018gc</id>
<category scheme='http://schemas.google.com/g/2005#kind' term='http://schemas.google.com/g/2005#event' />
<title type='text'>Event queried via batch</title>
</entry>
<entry>
<batch:id>3</batch:id>
<batch:operation type='update' />
<id>http://www.google.com/calendar/feeds/default/private/full/ujm0go5dtngdkr6u91dcqvj0qs</id>
<category scheme='http://schemas.google.com/g/2005#kind' term='http://schemas.google.com/g/2005#event' />
<title type='text'>Event updated via batch</title>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=dWptMGdvNWR0bmdka3I2dTkxZGNxdmowcXMgaGFyaXNodi50ZXN0QG0' title='alternate' />
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/ujm0go5dtngdkr6u91dcqvj0qs' />
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/ujm0go5dtngdkr6u91dcqvj0qs/63326098791' />
</entry>
<entry>
<batch:id>4</batch:id>
<batch:operation type='delete' />
<id>http://www.google.com/calendar/feeds/default/private/full/d8qbg9egk1n6lhsgq1sjbqffqc</id>
<category scheme='http://schemas.google.com/g/2005#kind' term='http://schemas.google.com/g/2005#event' />
<title type='text'>Event deleted via batch</title>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=ZDhxYmc5ZWdrMW42bGhzZ3Exc2picWZmcWMgaGFyaXNodi50ZXN0QG0' title='alternate' />
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/d8qbg9egk1n6lhsgq1sjbqffqc' />
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/d8qbg9egk1n6lhsgq1sjbqffqc/63326018324' />
</entry>
</feed>
"""
CALENDAR_BATCH_RESPONSE = """<?xml version='1.0' encoding='UTF-8'?>
<feed xmlns='http://www.w3.org/2005/Atom'
xmlns:batch='http://schemas.google.com/gdata/batch'
xmlns:gCal='http://schemas.google.com/gCal/2005'>
<id>http://www.google.com/calendar/feeds/default/private/full</id>
<updated>2007-09-21T23:01:00.380Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind' term='http://schemas.google.com/g/2005#event'></category>
<title type='text'>Batch Feed</title>
<link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full' />
<link rel='http://schemas.google.com/g/2005#post' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full' />
<link rel='http://schemas.google.com/g/2005#batch' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/batch' />
<entry>
<batch:id>1</batch:id>
<batch:status code='201' reason='Created' />
<batch:operation type='insert' />
<id>http://www.google.com/calendar/feeds/default/private/full/n9ug78gd9tv53ppn4hdjvk68ek</id>
<category scheme='http://schemas.google.com/g/2005#kind' term='http://schemas.google.com/g/2005#event' />
<title type='text'>Event inserted via batch</title>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=bjl1Zzc4Z2Q5dHY1M3BwbjRoZGp2azY4ZWsgaGFyaXNodi50ZXN0QG0' title='alternate' />
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/n9ug78gd9tv53ppn4hdjvk68ek' />
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/n9ug78gd9tv53ppn4hdjvk68ek/63326098860' />
</entry>
<entry>
<batch:id>2</batch:id>
<batch:status code='200' reason='Success' />
<batch:operation type='query' />
<id>http://www.google.com/calendar/feeds/default/private/full/glsc0kv2aqa0ff52qi1jo018gc</id>
<category scheme='http://schemas.google.com/g/2005#kind' term='http://schemas.google.com/g/2005#event' />
<title type='text'>Event queried via batch</title>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=Z2xzYzBrdjJhcWEwZmY1MnFpMWpvMDE4Z2MgaGFyaXNodi50ZXN0QG0' title='alternate' />
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/glsc0kv2aqa0ff52qi1jo018gc' />
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/glsc0kv2aqa0ff52qi1jo018gc/63326098791' />
</entry>
<entry xmlns:gCal='http://schemas.google.com/gCal/2005'>
<batch:id>3</batch:id>
<batch:status code='200' reason='Success' />
<batch:operation type='update' />
<id>http://www.google.com/calendar/feeds/default/private/full/ujm0go5dtngdkr6u91dcqvj0qs</id>
<category scheme='http://schemas.google.com/g/2005#kind' term='http://schemas.google.com/g/2005#event' />
<title type='text'>Event updated via batch</title>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=dWptMGdvNWR0bmdka3I2dTkxZGNxdmowcXMgaGFyaXNodi50ZXN0QG0' title='alternate' />
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/ujm0go5dtngdkr6u91dcqvj0qs' />
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/full/ujm0go5dtngdkr6u91dcqvj0qs/63326098860' />
<batch:id>3</batch:id>
<batch:status code='200' reason='Success' />
<batch:operation type='update' />
</entry>
<entry>
<batch:id>4</batch:id>
<batch:status code='200' reason='Success' />
<batch:operation type='delete' />
<id>http://www.google.com/calendar/feeds/default/private/full/d8qbg9egk1n6lhsgq1sjbqffqc</id>
<category scheme='http://schemas.google.com/g/2005#kind' term='http://schemas.google.com/g/2005#event' />
<title type='text'>Event deleted via batch</title>
<content type='text'>Deleted</content>
</entry>
</feed>
"""
GBASE_ATTRIBUTE_FEED = """<?xml version='1.0' encoding='UTF-8'?>
<feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:gm='http://base.google.com/ns-metadata/1.0'>
<id>http://www.google.com/base/feeds/attributes</id>
<updated>2006-11-01T20:35:59.578Z</updated>
<category scheme='http://base.google.com/categories/itemtypes' term='online jobs'></category>
<category scheme='http://base.google.com/categories/itemtypes' term='jobs'></category>
<title type='text'>Attribute histogram for query: [item type:jobs]</title>
<link rel='alternate' type='text/html' href='http://base.google.com'></link>
<link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://www.google.com/base/feeds
/attributes'></link>
<link rel='self' type='application/atom+xml' href='http://www.google.com/base/feeds/attributes/-/jobs'></link>
<generator version='1.0' uri='http://base.google.com'>GoogleBase</generator>
<openSearch:totalResults>16</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<openSearch:itemsPerPage>16</openSearch:itemsPerPage>
<entry>
<id>http://www.google.com/base/feeds/attributes/job+industry%28text%29N%5Bitem+type%3Ajobs%5D</id>
<updated>2006-11-01T20:36:00.100Z</updated>
<title type='text'>job industry(text)</title>
<content type='text'>Attribute"job industry" of type text.
</content>
<link rel='self' type='application/atom+xml' href='http://www.google.com/base/feeds/attributes/job+industry%28text
%29N%5Bitem+type%3Ajobs%5D'></link>
<gm:attribute name='job industry' type='text' count='4416629'>
<gm:value count='380772'>it internet</gm:value>
<gm:value count='261565'>healthcare</gm:value>
<gm:value count='142018'>information technology</gm:value>
<gm:value count='124622'>accounting</gm:value>
<gm:value count='111311'>clerical and administrative</gm:value>
<gm:value count='82928'>other</gm:value>
<gm:value count='77620'>sales and sales management</gm:value>
<gm:value count='68764'>information systems</gm:value>
<gm:value count='65859'>engineering and architecture</gm:value>
<gm:value count='64757'>sales</gm:value>
</gm:attribute>
</entry>
</feed>
"""
GBASE_ATTRIBUTE_ENTRY = """<?xml version='1.0' encoding='UTF-8'?>
<entry xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:gm='http://base.google.com/ns-metadata/1.0'>
<id>http://www.google.com/base/feeds/attributes/job+industry%28text%29N%5Bitem+type%3Ajobs%5D</id>
<updated>2006-11-01T20:36:00.100Z</updated>
<title type='text'>job industry(text)</title>
<content type='text'>Attribute"job industry" of type text.
</content>
<link rel='self' type='application/atom+xml' href='http://www.google.com/base/feeds/attributes/job+industry%28text%29N%5Bitem+type%3Ajobs%5D'></link>
<gm:attribute name='job industry' type='text' count='4416629'>
<gm:value count='380772'>it internet</gm:value>
<gm:value count='261565'>healthcare</gm:value>
<gm:value count='142018'>information technology</gm:value>
<gm:value count='124622'>accounting</gm:value>
<gm:value count='111311'>clerical and administrative</gm:value>
<gm:value count='82928'>other</gm:value>
<gm:value count='77620'>sales and sales management</gm:value>
<gm:value count='68764'>information systems</gm:value>
<gm:value count='65859'>engineering and architecture</gm:value>
<gm:value count='64757'>sales</gm:value>
</gm:attribute>
</entry>
"""
GBASE_LOCALES_FEED = """<?xml version='1.0' encoding='UTF-8'?>
<feed xmlns='http://www.w3.org/2005/Atom'
xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/'
xmlns:gm='http://base.google.com/ns-metadata/1.0'>
<id> http://www.google.com/base/feeds/locales/</id>
<updated>2006-06-13T18:11:40.120Z</updated>
<title type="text">Locales</title>
<link rel="alternate" type="text/html" href="http://base.google.com"/>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml"
href="http://www.google.com/base/feeds/locales/"/>
<link rel="self" type="application/atom+xml" href="http://www.google.com/base/feeds/locales/"/>
<author>
<name>Google Inc.</name>
<email>base@google.com</email>
</author>
<generator version="1.0" uri="http://base.google.com">GoogleBase</generator>
<openSearch:totalResults>3</openSearch:totalResults>
<openSearch:itemsPerPage>25</openSearch:itemsPerPage>
<entry>
<id>http://www.google.com/base/feeds/locales/en_US</id>
<updated>2006-03-27T22:27:36.658Z</updated>
<category scheme="http://base.google.com/categories/locales" term="en_US"/>
<title type="text">en_US</title>
<content type="text">en_US</content>
<link rel="self" type="application/atom+xml"
href="http://www.google.com/base/feeds/locales/en_US"></link>
<link rel="related" type="application/atom+xml"
href="http://www.google.com/base/feeds/itemtypes/en_US" title="Item types in en_US"/>
</entry>
<entry>
<id>http://www.google.com/base/feeds/locales/en_GB</id>
<updated>2006-06-13T18:14:18.601Z</updated>
<category scheme="http://base.google.com/categories/locales" term="en_GB"/>
<title type="text">en_GB</title>
<content type="text">en_GB</content>
<link rel="related" type="application/atom+xml"
href="http://www.google.com/base/feeds/itemtypes/en_GB" title="Item types in en_GB"/>
<link rel="self" type="application/atom+xml"
href="http://www.google.com/base/feeds/locales/en_GB"/>
</entry>
<entry>
<id>http://www.google.com/base/feeds/locales/de_DE</id>
<updated>2006-06-13T18:14:18.601Z</updated>
<category scheme="http://base.google.com/categories/locales" term="de_DE"/>
<title type="text">de_DE</title>
<content type="text">de_DE</content>
<link rel="related" type="application/atom+xml"
href="http://www.google.com/base/feeds/itemtypes/de_DE" title="Item types in de_DE"/>
<link rel="self" type="application/atom+xml"
href="http://www.google.com/base/feeds/locales/de_DE"/>
</entry>
</feed>"""
GBASE_STRING_ENCODING_ENTRY = """<?xml version='1.0' encoding='UTF-8'?>
<entry xmlns='http://www.w3.org/2005/Atom' xmlns:gm='http://base.google.com/ns-metadata/1.0'
xmlns:g='http://base.google.com/ns/1.0' xmlns:batch='http://schemas.google.com/gdata/batch'>
<id>http://www.google.com/base/feeds/snippets/17495780256183230088</id>
<published>2007-12-09T03:13:07.000Z</published>
<updated>2008-01-07T03:26:46.000Z</updated>
<category scheme='http://base.google.com/categories/itemtypes' term='Products'/>
<title type='text'>Digital Camera Cord Fits SONY Cybershot DSC-R1 S40</title>
<content type='html'>SONY \xC2\xB7 Cybershot Digital Camera Usb Cable DESCRIPTION
This is a 2.5 USB 2.0 A to Mini B (5 Pin) high quality digital camera
cable used for connecting your Sony Digital Cameras and Camcoders. Backward
Compatible with USB 2.0, 1.0 and 1.1. Fully ...</content>
<link rel='alternate' type='text/html'
href='http://adfarm.mediaplex.com/ad/ck/711-5256-8196-2?loc=http%3A%2F%2Fcgi.ebay.com%2FDigital-Camera-Cord-Fits-SONY-Cybershot-DSC-R1-S40_W0QQitemZ270195049057QQcmdZViewItem'/>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/base/feeds/snippets/17495780256183230088'/>
<author>
<name>eBay</name>
</author>
<g:item_type type='text'>Products</g:item_type>
<g:item_language type='text'>EN</g:item_language>
<g:target_country type='text'>US</g:target_country>
<g:price type='floatUnit'>0.99 usd</g:price>
<g:image_link type='url'>http://thumbs.ebaystatic.com/pict/270195049057_1.jpg</g:image_link>
<g:category type='text'>Cameras & Photo>Digital Camera Accessories>Cables</g:category>
<g:category type='text'>Cords & Connectors>USB Cables>For Other Brands</g:category>
<g:customer_id type='int'>11729</g:customer_id>
<g:id type='text'>270195049057</g:id>
<g:expiration_date type='dateTime'>2008-02-06T03:26:46Z</g:expiration_date>
</entry>"""
RECURRENCE_EXCEPTION_ENTRY = """<entry xmlns='http://www.w3.org/2005/Atom'
xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/'
xmlns:gd='http://schemas.google.com/g/2005'
xmlns:gCal='http://schemas.google.com/gCal/2005'>
<id>
http://www.google.com/calendar/feeds/default/private/composite/i7lgfj69mjqjgnodklif3vbm7g</id>
<published>2007-04-05T21:51:49.000Z</published>
<updated>2007-04-05T21:51:49.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/g/2005#event'></category>
<title type='text'>testDavid</title>
<content type='text'></content>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=aTdsZ2ZqNjltanFqZ25vZGtsaWYzdmJtN2dfMjAwNzA0MDNUMTgwMDAwWiBnZGF0YS5vcHMudGVzdEBt'
title='alternate'></link>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/default/private/composite/i7lgfj69mjqjgnodklif3vbm7g'>
</link>
<author>
<name>gdata ops</name>
<email>gdata.ops.test@gmail.com</email>
</author>
<gd:visibility value='http://schemas.google.com/g/2005#event.default'>
</gd:visibility>
<gCal:sendEventNotifications value='true'>
</gCal:sendEventNotifications>
<gd:transparency value='http://schemas.google.com/g/2005#event.opaque'>
</gd:transparency>
<gd:eventStatus value='http://schemas.google.com/g/2005#event.confirmed'>
</gd:eventStatus>
<gd:recurrence>DTSTART;TZID=America/Anchorage:20070403T100000
DTEND;TZID=America/Anchorage:20070403T110000
RRULE:FREQ=DAILY;UNTIL=20070408T180000Z;WKST=SU
EXDATE;TZID=America/Anchorage:20070407T100000
EXDATE;TZID=America/Anchorage:20070405T100000
EXDATE;TZID=America/Anchorage:20070404T100000 BEGIN:VTIMEZONE
TZID:America/Anchorage X-LIC-LOCATION:America/Anchorage
BEGIN:STANDARD TZOFFSETFROM:-0800 TZOFFSETTO:-0900 TZNAME:AKST
DTSTART:19701025T020000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0900 TZOFFSETTO:-0800
TZNAME:AKDT DTSTART:19700405T020000
RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU END:DAYLIGHT
END:VTIMEZONE</gd:recurrence>
<gd:where valueString=''></gd:where>
<gd:reminder minutes='10'></gd:reminder>
<gd:recurrenceException specialized='true'>
<gd:entryLink>
<entry>
<id>i7lgfj69mjqjgnodklif3vbm7g_20070407T180000Z</id>
<published>2007-04-05T21:51:49.000Z</published>
<updated>2007-04-05T21:52:58.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/g/2005#event'></category>
<title type='text'>testDavid</title>
<content type='text'></content>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/event?eid=aTdsZ2ZqNjltanFqZ25vZGtsaWYzdmJtN2dfMjAwNzA0MDdUMTgwMDAwWiBnZGF0YS5vcHMudGVzdEBt'
title='alternate'></link>
<author>
<name>gdata ops</name>
<email>gdata.ops.test@gmail.com</email>
</author>
<gd:visibility value='http://schemas.google.com/g/2005#event.default'>
</gd:visibility>
<gd:originalEvent id='i7lgfj69mjqjgnodklif3vbm7g'
href='http://www.google.com/calendar/feeds/default/private/composite/i7lgfj69mjqjgnodklif3vbm7g'>
<gd:when startTime='2007-04-07T13:00:00.000-05:00'>
</gd:when>
</gd:originalEvent>
<gCal:sendEventNotifications value='false'>
</gCal:sendEventNotifications>
<gd:transparency value='http://schemas.google.com/g/2005#event.opaque'>
</gd:transparency>
<gd:eventStatus value='http://schemas.google.com/g/2005#event.canceled'>
</gd:eventStatus>
<gd:comments>
<gd:feedLink href='http://www.google.com/calendar/feeds/default/private/full/i7lgfj69mjqjgnodklif3vbm7g_20070407T180000Z/comments'>
<feed>
<updated>2007-04-05T21:54:09.285Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/g/2005#message'>
</category>
<title type='text'>Comments for: testDavid</title>
<link rel='alternate' type='text/html'
href='http://www.google.com/calendar/feeds/default/private/full/i7lgfj69mjqjgnodklif3vbm7g_20070407T180000Z/comments'
title='alternate'></link>
</feed>
</gd:feedLink>
</gd:comments>
<gd:when startTime='2007-04-07T13:00:00.000-05:00'
endTime='2007-04-07T14:00:00.000-05:00'>
<gd:reminder minutes='10'></gd:reminder>
</gd:when>
<gd:where valueString=''></gd:where>
</entry>
</gd:entryLink>
</gd:recurrenceException>
</entry>"""
NICK_ENTRY = """<?xml version="1.0" encoding="UTF-8"?>
<atom:entry xmlns:atom="http://www.w3.org/2005/Atom"
xmlns:apps="http://schemas.google.com/apps/2006"
xmlns:gd="http://schemas.google.com/g/2005">
<atom:id>https://apps-apis.google.com/a/feeds/example.com/nickname/2.0/Foo</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#nickname'/>
<atom:title type="text">Foo</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="https://apps-apis.google.com/a/feeds/example.com/nickname/2.0/Foo"/>
<atom:link rel="edit" type="application/atom+xml"
href="https://apps-apis.google.com/a/feeds/example.com/nickname/2.0/Foo"/>
<apps:nickname name="Foo"/>
<apps:login userName="TestUser"/>
</atom:entry>"""
NICK_FEED = """<?xml version="1.0" encoding="UTF-8"?>
<atom:feed xmlns:atom="http://www.w3.org/2005/Atom"
xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/"
xmlns:apps="http://schemas.google.com/apps/2006">
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/nickname/2.0
</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#nickname'/>
<atom:title type="text">Nicknames for user SusanJones</atom:title>
<atom:link rel='http://schemas.google.com/g/2005#feed'
type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/nickname/2.0"/>
<atom:link rel='http://schemas.google.com/g/2005#post'
type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/nickname/2.0"/>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/nickname/2.0?username=TestUser"/>
<openSearch:startIndex>1</openSearch:startIndex>
<openSearch:itemsPerPage>2</openSearch:itemsPerPage>
<atom:entry>
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/nickname/2.0/Foo
</atom:id>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#nickname'/>
<atom:title type="text">Foo</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/nickname/2.0/Foo"/>
<atom:link rel="edit" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/nickname/2.0/Foo"/>
<apps:nickname name="Foo"/>
<apps:login userName="TestUser"/>
</atom:entry>
<atom:entry>
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/nickname/2.0/suse
</atom:id>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#nickname'/>
<atom:title type="text">suse</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/nickname/2.0/Bar"/>
<atom:link rel="edit" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/nickname/2.0/Bar"/>
<apps:nickname name="Bar"/>
<apps:login userName="TestUser"/>
</atom:entry>
</atom:feed>"""
USER_ENTRY = """<?xml version="1.0" encoding="UTF-8"?>
<atom:entry xmlns:atom="http://www.w3.org/2005/Atom"
xmlns:apps="http://schemas.google.com/apps/2006"
xmlns:gd="http://schemas.google.com/g/2005">
<atom:id>https://apps-apis.google.com/a/feeds/example.com/user/2.0/TestUser</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#user'/>
<atom:title type="text">TestUser</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="https://apps-apis.google.com/a/feeds/example.com/user/2.0/TestUser"/>
<atom:link rel="edit" type="application/atom+xml"
href="https://apps-apis.google.com/a/feeds/example.com/user/2.0/TestUser"/>
<apps:login userName="TestUser" password="password" suspended="false"
ipWhitelisted='false' hashFunctionName="SHA-1"/>
<apps:name familyName="Test" givenName="User"/>
<apps:quota limit="1024"/>
<gd:feedLink rel='http://schemas.google.com/apps/2006#user.nicknames'
href="https://apps-apis.google.com/a/feeds/example.com/nickname/2.0?username=Test-3121"/>
<gd:feedLink rel='http://schemas.google.com/apps/2006#user.emailLists'
href="https://apps-apis.google.com/a/feeds/example.com/emailList/2.0?recipient=testlist@example.com"/>
</atom:entry>"""
USER_FEED = """<?xml version="1.0" encoding="UTF-8"?>
<atom:feed xmlns:atom="http://www.w3.org/2005/Atom"
xmlns:apps="http://schemas.google.com/apps/2006"
xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/"
xmlns:gd="http://schemas.google.com/g/2005">
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/user/2.0
</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#user'/>
<atom:title type="text">Users</atom:title>
<atom:link rel="next" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/user/2.0?startUsername=john"/>
<atom:link rel='http://schemas.google.com/g/2005#feed'
type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/user/2.0"/>
<atom:link rel='http://schemas.google.com/g/2005#post'
type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/user/2.0"/>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/user/2.0"/>
<openSearch:startIndex>1</openSearch:startIndex>
<atom:entry>
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/user/2.0/TestUser
</atom:id>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#user'/>
<atom:title type="text">TestUser</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/user/2.0/TestUser"/>
<atom:link rel="edit" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/user/2.0/TestUser"/>
<gd:who rel='http://schemas.google.com/apps/2006#user.recipient'
email="TestUser@example.com"/>
<apps:login userName="TestUser" suspended="false"/>
<apps:quota limit="2048"/>
<apps:name familyName="Test" givenName="User"/>
<gd:feedLink rel='http://schemas.google.com/apps/2006#user.nicknames'
href="http://apps-apis.google.com/a/feeds/example.com/nickname/2.0?username=TestUser"/>
<gd:feedLink rel='http://schemas.google.com/apps/2006#user.emailLists'
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0?recipient=TestUser@example.com"/>
</atom:entry>
<atom:entry>
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/user/2.0/JohnSmith
</atom:id>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#user'/>
<atom:title type="text">JohnSmith</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/user/2.0/JohnSmith"/>
<atom:link rel="edit" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/user/2.0/JohnSmith"/>
<gd:who rel='http://schemas.google.com/apps/2006#user.recipient'
email="JohnSmith@example.com"/>
<apps:login userName="JohnSmith" suspended="false"/>
<apps:quota limit="2048"/>
<apps:name familyName="Smith" givenName="John"/>
<gd:feedLink rel='http://schemas.google.com/apps/2006#user.nicknames'
href="http://apps-apis.google.com/a/feeds/example.com/nickname/2.0?username=JohnSmith"/>
<gd:feedLink rel='http://schemas.google.com/apps/2006#user.emailLists'
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0?recipient=JohnSmith@example.com"/>
</atom:entry>
</atom:feed>"""
EMAIL_LIST_ENTRY = """<?xml version="1.0" encoding="UTF-8"?>
<atom:entry xmlns:atom="http://www.w3.org/2005/Atom"
xmlns:apps="http://schemas.google.com/apps/2006"
xmlns:gd="http://schemas.google.com/g/2005">
<atom:id>
https://apps-apis.google.com/a/feeds/example.com/emailList/2.0/testlist
</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#emailList'/>
<atom:title type="text">testlist</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="https://apps-apis.google.com/a/feeds/example.com/emailList/2.0/testlist"/>
<atom:link rel="edit" type="application/atom+xml"
href="https://apps-apis.google.com/a/feeds/example.com/emailList/2.0/testlist"/>
<apps:emailList name="testlist"/>
<gd:feedLink rel='http://schemas.google.com/apps/2006#emailList.recipients'
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/testlist/recipient/"/>
</atom:entry>"""
EMAIL_LIST_FEED = """<?xml version="1.0" encoding="UTF-8"?>
<atom:feed xmlns:atom="http://www.w3.org/2005/Atom"
xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/"
xmlns:apps="http://schemas.google.com/apps/2006"
xmlns:gd="http://schemas.google.com/g/2005">
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/emailList/2.0
</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#emailList'/>
<atom:title type="text">EmailLists</atom:title>
<atom:link rel="next" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0?startEmailListName=john"/>
<atom:link rel='http://schemas.google.com/g/2005#feed'
type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0"/>
<atom:link rel='http://schemas.google.com/g/2005#post'
type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0"/>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0"/>
<openSearch:startIndex>1</openSearch:startIndex>
<atom:entry>
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales
</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#emailList'/>
<atom:title type="text">us-sales</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales"/>
<atom:link rel="edit" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales"/>
<apps:emailList name="us-sales"/>
<gd:feedLink rel='http://schemas.google.com/apps/2006#emailList.recipients'
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/"/>
</atom:entry>
<atom:entry>
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-eng
</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#emailList'/>
<atom:title type="text">us-eng</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-eng"/>
<atom:link rel="edit" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-eng"/>
<apps:emailList name="us-eng"/>
<gd:feedLink rel='http://schemas.google.com/apps/2006#emailList.recipients'
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-eng/recipient/"/>
</atom:entry>
</atom:feed>"""
EMAIL_LIST_RECIPIENT_ENTRY = """<?xml version="1.0" encoding="UTF-8"?>
<atom:entry xmlns:atom="http://www.w3.org/2005/Atom"
xmlns:apps="http://schemas.google.com/apps/2006"
xmlns:gd="http://schemas.google.com/g/2005">
<atom:id>https://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/TestUser%40example.com</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#emailList.recipient'/>
<atom:title type="text">TestUser</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="https://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/TestUser%40example.com"/>
<atom:link rel="edit" type="application/atom+xml"
href="https://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/TestUser%40example.com"/>
<gd:who email="TestUser@example.com"/>
</atom:entry>"""
EMAIL_LIST_RECIPIENT_FEED = """<?xml version="1.0" encoding="UTF-8"?>
<atom:feed xmlns:atom="http://www.w3.org/2005/Atom"
xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/"
xmlns:gd="http://schemas.google.com/g/2005">
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient
</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#emailList.recipient'/>
<atom:title type="text">Recipients for email list us-sales</atom:title>
<atom:link rel="next" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/?startRecipient=terry@example.com"/>
<atom:link rel='http://schemas.google.com/g/2005#feed'
type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient"/>
<atom:link rel='http://schemas.google.com/g/2005#post'
type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient"/>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient"/>
<openSearch:startIndex>1</openSearch:startIndex>
<atom:entry>
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/joe%40example.com
</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#emailList.recipient'/>
<atom:title type="text">joe@example.com</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/joe%40example.com"/>
<atom:link rel="edit" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/joe%40example.com"/>
<gd:who email="joe@example.com"/>
</atom:entry>
<atom:entry>
<atom:id>
http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/susan%40example.com
</atom:id>
<atom:updated>1970-01-01T00:00:00.000Z</atom:updated>
<atom:category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/apps/2006#emailList.recipient'/>
<atom:title type="text">susan@example.com</atom:title>
<atom:link rel="self" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/susan%40example.com"/>
<atom:link rel="edit" type="application/atom+xml"
href="http://apps-apis.google.com/a/feeds/example.com/emailList/2.0/us-sales/recipient/susan%40example.com"/>
<gd:who email="susan@example.com"/>
</atom:entry>
</atom:feed>"""
ACL_FEED = """<?xml version='1.0' encoding='UTF-8'?>
<feed xmlns='http://www.w3.org/2005/Atom'
xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/'
xmlns:gAcl='http://schemas.google.com/acl/2007'>
<id>http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full</id>
<updated>2007-04-21T00:52:04.000Z</updated>
<title type='text'>Elizabeth Bennet's access control list</title>
<link rel='http://schemas.google.com/acl/2007#controlledObject'
type='application/atom+xml'
href='http://www.google.com/calendar/feeds/liz%40gmail.com/private/full'>
</link>
<link rel='http://schemas.google.com/g/2005#feed'
type='application/atom+xml'
href='http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full'>
</link>
<link rel='http://schemas.google.com/g/2005#post'
type='application/atom+xml'
href='http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full'>
</link>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full'>
</link>
<generator version='1.0'
uri='http://www.google.com/calendar'>Google Calendar</generator>
<openSearch:totalResults>2</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<entry>
<id>http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full/user%3Aliz%40gmail.com</id>
<updated>2007-04-21T00:52:04.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/acl/2007#accessRule'>
</category>
<title type='text'>owner</title>
<content type='text'></content>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full/user%3Aliz%40gmail.com'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full/user%3Aliz%40gmail.com'>
</link>
<author>
<name>Elizabeth Bennet</name>
<email>liz@gmail.com</email>
</author>
<gAcl:scope type='user' value='liz@gmail.com'></gAcl:scope>
<gAcl:role value='http://schemas.google.com/gCal/2005#owner'>
</gAcl:role>
</entry>
<entry>
<id>http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full/default</id>
<updated>2007-04-21T00:52:04.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/acl/2007#accessRule'>
</category>
<title type='text'>read</title>
<content type='text'></content>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full/default'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full/default'>
</link>
<author>
<name>Elizabeth Bennet</name>
<email>liz@gmail.com</email>
</author>
<gAcl:scope type='default'></gAcl:scope>
<gAcl:role value='http://schemas.google.com/gCal/2005#read'>
</gAcl:role>
</entry>
</feed>"""
ACL_ENTRY = """<?xml version='1.0' encoding='UTF-8'?>
<entry xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:gd='http://schemas.google.com/g/2005' xmlns:gCal='http://schemas.google.com/gCal/2005' xmlns:gAcl='http://schemas.google.com/acl/2007'>
<id>http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full/user%3Aliz%40gmail.com</id>
<updated>2007-04-21T00:52:04.000Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/acl/2007#accessRule'>
</category>
<title type='text'>owner</title>
<content type='text'></content>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full/user%3Aliz%40gmail.com'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/calendar/feeds/liz%40gmail.com/acl/full/user%3Aliz%40gmail.com'>
</link>
<author>
<name>Elizabeth Bennet</name>
<email>liz@gmail.com</email>
</author>
<gAcl:scope type='user' value='liz@gmail.com'></gAcl:scope>
<gAcl:role value='http://schemas.google.com/gCal/2005#owner'>
</gAcl:role>
</entry>"""
DOCUMENT_LIST_FEED = """<?xml version='1.0' encoding='UTF-8'?>
<ns0:feed xmlns:ns0="http://www.w3.org/2005/Atom" xmlns:ns2="http://schemas.google.com/g/2005" xmlns:ns3="http://schemas.google.com/docs/2007"><ns1:totalResults
xmlns:ns1="http://a9.com/-/spec/opensearchrss/1.0/">2</ns1:totalResults><ns1:startIndex
xmlns:ns1="http://a9.com/-/spec/opensearchrss/1.0/">1</ns1:startIndex><ns0:entry><ns0:content
src="http://foo.com/fm?fmcmd=102&key=supercalifragilisticexpeadocious"
type="text/html"
/><ns0:author><ns0:name>test.user</ns0:name><ns0:email>test.user@gmail.com</ns0:email></ns0:author><ns0:category
label="spreadsheet" scheme="http://schemas.google.com/g/2005#kind"
term="http://schemas.google.com/docs/2007#spreadsheet"
/><ns0:id>http://docs.google.com/feeds/documents/private/full/spreadsheet%3Asupercalifragilisticexpeadocious</ns0:id><ns0:link
href="http://foo.com/ccc?key=supercalifragilisticexpeadocious" rel="alternate"
type="text/html" /><ns0:link
href="http://foo.com/feeds/worksheets/supercalifragilisticexpeadocious/private/full"
rel="http://schemas.google.com/spreadsheets/2006#worksheetsfeed"
type="application/atom+xml" /><ns0:link
href="http://docs.google.com/feeds/documents/private/full/spreadsheet%3Asupercalifragilisticexpeadocious"
rel="self" type="application/atom+xml" /><ns0:title type="text">Test Spreadsheet</ns0:title><ns0:updated>2007-07-03T18:03:32.045Z</ns0:updated>
<ns2:feedLink href="http://docs.google.com/feeds/acl/private/full/spreadsheet%3Afoofoofoo" rel="http://schemas.google.com/acl/2007#accessControlList"/>
<ns2:resourceId>document:dfrkj84g_3348jbxpxcd</ns2:resourceId>
<ns2:lastModifiedBy>
<ns0:name>test.user</ns0:name>
<ns0:email>test.user@gmail.com</ns0:email>
</ns2:lastModifiedBy>
<ns2:lastViewed>2009-03-05T07:48:21.493Z</ns2:lastViewed>
<ns3:writersCanInvite value='true'/>
</ns0:entry><ns0:entry><ns0:content
src="http://docs.google.com/RawDocContents?action=fetch&docID=gr00vy"
type="text/html"
/><ns0:author><ns0:name>test.user</ns0:name><ns0:email>test.user@gmail.com</ns0:email></ns0:author><ns0:category
label="document" scheme="http://schemas.google.com/g/2005#kind"
term="http://schemas.google.com/docs/2007#document"
/><ns0:id>http://docs.google.com/feeds/documents/private/full/document%3Agr00vy</ns0:id><ns0:link
href="http://foobar.com/Doc?id=gr00vy" rel="alternate" type="text/html"
/><ns0:link
href="http://docs.google.com/feeds/documents/private/full/document%3Agr00vy"
rel="self" type="application/atom+xml" /><ns0:title type="text">Test Document</ns0:title><ns0:updated>2007-07-03T18:02:50.338Z</ns0:updated>
<ns2:feedLink href="http://docs.google.com/feeds/acl/private/full/document%3Afoofoofoo" rel="http://schemas.google.com/acl/2007#accessControlList"/>
<ns2:lastModifiedBy>
<ns0:name>test.user</ns0:name>
<ns0:email>test.user@gmail.com</ns0:email>
</ns2:lastModifiedBy>
<ns3:writersCanInvite value='false'/>
<ns2:lastViewed>2009-03-05T07:48:21.493Z</ns2:lastViewed>
</ns0:entry><ns0:id>http://docs.google.com/feeds/documents/private/full</ns0:id><ns0:link
href="http://docs.google.com" rel="alternate" type="text/html" /><ns0:link
href="http://docs.google.com/feeds/documents/private/full"
rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml"
/><ns0:link href="http://docs.google.com/feeds/documents/private/full"
rel="http://schemas.google.com/g/2005#post" type="application/atom+xml"
/><ns0:link href="http://docs.google.com/feeds/documents/private/full"
rel="self" type="application/atom+xml" /><ns0:title type="text">Available
Documents -
test.user@gmail.com</ns0:title><ns0:updated>2007-07-09T23:07:21.898Z</ns0:updated>
</ns0:feed>
"""
DOCUMENT_LIST_ENTRY = """<?xml version='1.0' encoding='UTF-8'?>
<ns0:entry xmlns:ns0="http://www.w3.org/2005/Atom" xmlns:ns1="http://schemas.google.com/g/2005" xmlns:ns2="http://schemas.google.com/docs/2007"><ns0:content
src="http://foo.com/fm?fmcmd=102&key=supercalifragilisticexpealidocious" type="text/html"/>
<ns0:author><ns0:name>test.user</ns0:name><ns0:email>test.user@gmail.com</ns0:email></ns0:author>
<ns0:category label="spreadsheet" scheme="http://schemas.google.com/g/2005#kind"
term="http://schemas.google.com/docs/2007#spreadsheet"
/><ns0:id>http://docs.google.com/feeds/documents/private/full/spreadsheet%3Asupercalifragilisticexpealidocious</ns0:id>
<ns0:link href="http://foo.com/ccc?key=supercalifragilisticexpealidocious"
rel="alternate" type="text/html" /><ns0:link
href="http://foo.com/feeds/worksheets/supercalifragilisticexpealidocious/private/full"
rel="http://schemas.google.com/spreadsheets/2006#worksheetsfeed"
type="application/atom+xml" /><ns0:link
href="http://docs.google.com/feeds/documents/private/full/spreadsheet%3Asupercalifragilisticexpealidocious"
rel="self" type="application/atom+xml" />
<ns0:title type="text">Test Spreadsheet</ns0:title><ns0:updated>2007-07-03T18:03:32.045Z</ns0:updated>
<ns1:resourceId>spreadsheet:supercalifragilisticexpealidocious</ns1:resourceId>
<ns1:lastModifiedBy>
<ns0:name>test.user</ns0:name>
<ns0:email>test.user@gmail.com</ns0:email>
</ns1:lastModifiedBy>
<ns1:lastViewed>2009-03-05T07:48:21.493Z</ns1:lastViewed>
<ns2:writersCanInvite value='true'/>
</ns0:entry>
"""
DOCUMENT_LIST_ENTRY_V3 = """<?xml version='1.0' encoding='UTF-8'?>
<ns0:entry xmlns:ns0="http://www.w3.org/2005/Atom" xmlns:ns1="http://schemas.google.com/g/2005" xmlns:ns2="http://schemas.google.com/docs/2007"><ns0:content
src="http://foo.com/fm?fmcmd=102&key=supercalifragilisticexpealidocious" type="text/html"/>
<ns0:author><ns0:name>test.user</ns0:name><ns0:email>test.user@gmail.com</ns0:email></ns0:author>
<ns0:category label="spreadsheet" scheme="http://schemas.google.com/g/2005#kind"
term="http://schemas.google.com/docs/2007#spreadsheet"
/><ns0:id>http://docs.google.com/feeds/documents/private/full/spreadsheet%3Asupercalifragilisticexpealidocious</ns0:id>
<ns0:link href="http://foo.com/ccc?key=supercalifragilisticexpealidocious"
rel="alternate" type="text/html" /><ns0:link
href="http://foo.com/feeds/worksheets/supercalifragilisticexpealidocious/private/full"
rel="http://schemas.google.com/spreadsheets/2006#worksheetsfeed"
type="application/atom+xml" /><ns0:link
href="http://docs.google.com/feeds/documents/private/full/spreadsheet%3Asupercalifragilisticexpealidocious"
rel="self" type="application/atom+xml" />
<ns0:link rel="http://schemas.google.com/docs/2007#parent" type="application/atom+xml"
href="http://docs.google.com/feeds/default/private/full/folder%3A12345" title="AFolderName" />
<ns0:title type="text">Test Spreadsheet</ns0:title><ns0:updated>2007-07-03T18:03:32.045Z</ns0:updated>
<ns1:resourceId>spreadsheet:supercalifragilisticexpealidocious</ns1:resourceId>
<ns1:lastModifiedBy>
<ns0:name>test.user</ns0:name>
<ns0:email>test.user@gmail.com</ns0:email>
</ns1:lastModifiedBy>
<ns1:lastViewed>2009-03-05T07:48:21.493Z</ns1:lastViewed>
<ns2:writersCanInvite value='true'/>
<ns1:quotaBytesUsed>1000</ns1:quotaBytesUsed>
<ns1:feedLink rel="http://schemas.google.com/acl/2007#accessControlList" href="http://docs.google.com/feeds/default/private/full/spreadsheet%3Asupercalifragilisticexpealidocious/acl" />
<ns1:feedLink rel="http://schemas.google.com/docs/2007/revisions" href="http://docs.google.com/feeds/default/private/full/spreadsheet%3Asupercalifragilisticexpealidocious/revisions" />
</ns0:entry>
"""
DOCUMENT_LIST_ACL_ENTRY = """<?xml version='1.0' encoding='UTF-8'?>
<entry xmlns="http://www.w3.org/2005/Atom"
xmlns:gAcl='http://schemas.google.com/acl/2007'>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/acl/2007#accessRule'/>
<gAcl:role value='writer'/>
<gAcl:scope type='user' value='user@gmail.com'/>
</entry>"""
DOCUMENT_LIST_ACL_FEED = """<?xml version='1.0' encoding='UTF-8'?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/"
xmlns:gAcl="http://schemas.google.com/acl/2007"
xmlns:batch="http://schemas.google.com/gdata/batch">
<id>http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8feTQYCgZpwUQ</id>
<updated>2009-02-22T03:48:25.895Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/acl/2007#accessRule"/>
<title type="text">Document Permissions</title>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8feTQYCgZpwUQ"/>
<link rel="http://schemas.google.com/g/2005#post" type="application/atom+xml" href="http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8feTQYCgZpwUQ"/>
<link rel="http://schemas.google.com/g/2005#batch" type="application/atom+xml" href="http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8feTQYCgZpwUQ/batch"/>
<link rel="self" type="application/atom+xml" href="http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8feTQYCgZpwUQ"/>
<openSearch:totalResults>2</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<entry>
<id>http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8feTQp4pwUwUQ/user%3Auser%40gmail.com</id>
<updated>2009-02-22T03:48:25.896Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/acl/2007#accessRule"/>
<title type="text">Document Permission - user@gmail.com</title>
<link rel="self" type="application/atom+xml" href="http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8feTQp4pwUwUQ/user%3Auser%40gmail.com"/>
<link rel="edit" type="application/atom+xml" href="http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8feTQp4pwUwUQ/user%3Auser%40gmail.com"/>
<gAcl:role value="owner"/>
<gAcl:scope type="user" value="user@gmail.com"/>
</entry>
<entry>
<id>http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8fCgZp4pwUwUQ/user%3Auser2%40google.com</id>
<updated>2009-02-22T03:48:26.257Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/acl/2007#accessRule"/>
<title type="text">Document Permission - user2@google.com</title>
<link rel="self" type="application/atom+xml" href="http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8feTQYCgZp4pwUwUQ/user%3Auser2%40google.com"/>
<link rel="edit" type="application/atom+xml" href="http://docs.google.com/feeds/acl/private/full/spreadsheet%3ApFrmMi8feTQYCgZp4pwUwUQ/user%3Auser2%40google.com"/>
<gAcl:role value="writer"/>
<gAcl:scope type="domain" value="google.com"/>
</entry>
</feed>"""
DOCUMENT_LIST_REVISION_FEED = """<?xml version='1.0' encoding='UTF-8'?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/"
xmlns:batch="http://schemas.google.com/gdata/batch" xmlns:gd="http://schemas.google.com/g/2005"
xmlns:docs="http://schemas.google.com/docs/2007"
gd:etag="W/"CE4HQX08cCt7ImA9WxNTFEU."">
<id>https://docs.google.com/feeds/default/private/full/resource_id/revisions</id>
<updated>2009-08-17T04:22:10.378Z</updated>
<title>Document Revisions</title>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml"
href="https://docs.google.com/feeds/default/private/full/resource_id/revisions"/>
<link rel="http://schemas.google.com/g/2005#batch" type="application/atom+xml"
href="https://docs.google.com/feeds/default/private/full/resource_id/revisions/batch"/>
<link rel="self" type="application/atom+xml"
href="https://docs.google.com/feeds/default/private/full/resource_id/revisions"/>
<openSearch:totalResults>6</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<entry>
<id>https://docs.google.com/feeds/id/resource_id/revisions/2</id>
<updated>2009-08-17T04:22:10.440Z</updated>
<app:edited xmlns:app="http://www.w3.org/2007/app">2009-08-14T07:11:34.197Z</app:edited>
<title>Revision 2</title>
<content type="text/html" src="https://docs.google.com/feeds/download/documents/Export?docId=doc_id&revision=2"/>
<link rel="alternate" type="text/html"
href="https://docs.google.com/Doc?id=doc_id&revision=2"/>
<link rel="self" type="application/atom+xml"
href="https://docs.google.com/feeds/default/private/full/resource_id/revisions/2"/>
<link rel='http://schemas.google.com/docs/2007#publish' type='text/html' href='http://docs.google.com/View?docid=dfr4&pageview=1&hgd=1'/>
<author>
<name>another_user</name>
<email>another_user@gmail.com</email>
</author>
<docs:publish value="true"/>
<docs:publishAuto value="true"/>
<docs:publishOutsideDomain value="false"/>
</entry>
</feed>
"""
BATCH_ENTRY = """<?xml version='1.0' encoding='UTF-8'?>
<entry xmlns="http://www.w3.org/2005/Atom"
xmlns:batch="http://schemas.google.com/gdata/batch"
xmlns:g="http://base.google.com/ns/1.0">
<id>http://www.google.com/base/feeds/items/2173859253842813008</id>
<published>2006-07-11T14:51:43.560Z</published>
<updated>2006-07-11T14:51: 43.560Z</updated>
<title type="text">title</title>
<content type="html">content</content>
<link rel="self"
type="application/atom+xml"
href="http://www.google.com/base/feeds/items/2173859253842813008"/>
<link rel="edit"
type="application/atom+xml"
href="http://www.google.com/base/feeds/items/2173859253842813008"/>
<g:item_type>recipes</g:item_type>
<batch:operation type="insert"/>
<batch:id>itemB</batch:id>
<batch:status code="201" reason="Created"/>
</entry>"""
BATCH_FEED_REQUEST = """<?xml version="1.0" encoding="UTF-8"?>
<feed
xmlns="http://www.w3.org/2005/Atom"
xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/"
xmlns:g="http://base.google.com/ns/1.0"
xmlns:batch="http://schemas.google.com/gdata/batch">
<title type="text">My Batch Feed</title>
<entry>
<id>http://www.google.com/base/feeds/items/13308004346459454600</id>
<batch:operation type="delete"/>
</entry>
<entry>
<id>http://www.google.com/base/feeds/items/17437536661927313949</id>
<batch:operation type="delete"/>
</entry>
<entry>
<title type="text">...</title>
<content type="html">...</content>
<batch:id>itemA</batch:id>
<batch:operation type="insert"/>
<g:item_type>recipes</g:item_type>
</entry>
<entry>
<title type="text">...</title>
<content type="html">...</content>
<batch:id>itemB</batch:id>
<batch:operation type="insert"/>
<g:item_type>recipes</g:item_type>
</entry>
</feed>"""
BATCH_FEED_RESULT = """<?xml version="1.0" encoding="UTF-8"?>
<feed
xmlns="http://www.w3.org/2005/Atom"
xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/"
xmlns:g="http://base.google.com/ns/1.0"
xmlns:batch="http://schemas.google.com/gdata/batch">
<id>http://www.google.com/base/feeds/items</id>
<updated>2006-07-11T14:51:42.894Z</updated>
<title type="text">My Batch</title>
<link rel="http://schemas.google.com/g/2005#feed"
type="application/atom+xml"
href="http://www.google.com/base/feeds/items"/>
<link rel="http://schemas.google.com/g/2005#post"
type="application/atom+xml"
href="http://www.google.com/base/feeds/items"/>
<link rel=" http://schemas.google.com/g/2005#batch"
type="application/atom+xml"
href="http://www.google.com/base/feeds/items/batch"/>
<entry>
<id>http://www.google.com/base/feeds/items/2173859253842813008</id>
<published>2006-07-11T14:51:43.560Z</published>
<updated>2006-07-11T14:51: 43.560Z</updated>
<title type="text">...</title>
<content type="html">...</content>
<link rel="self"
type="application/atom+xml"
href="http://www.google.com/base/feeds/items/2173859253842813008"/>
<link rel="edit"
type="application/atom+xml"
href="http://www.google.com/base/feeds/items/2173859253842813008"/>
<g:item_type>recipes</g:item_type>
<batch:operation type="insert"/>
<batch:id>itemB</batch:id>
<batch:status code="201" reason="Created"/>
</entry>
<entry>
<id>http://www.google.com/base/feeds/items/11974645606383737963</id>
<published>2006-07-11T14:51:43.247Z</published>
<updated>2006-07-11T14:51: 43.247Z</updated>
<title type="text">...</title>
<content type="html">...</content>
<link rel="self"
type="application/atom+xml"
href="http://www.google.com/base/feeds/items/11974645606383737963"/>
<link rel="edit"
type="application/atom+xml"
href="http://www.google.com/base/feeds/items/11974645606383737963"/>
<g:item_type>recipes</g:item_type>
<batch:operation type="insert"/>
<batch:id>itemA</batch:id>
<batch:status code="201" reason="Created"/>
</entry>
<entry>
<id>http://www.google.com/base/feeds/items/13308004346459454600</id>
<updated>2006-07-11T14:51:42.894Z</updated>
<title type="text">Error</title>
<content type="text">Bad request</content>
<batch:status code="404"
reason="Bad request"
content-type="application/xml">
<errors>
<error type="request" reason="Cannot find item"/>
</errors>
</batch:status>
</entry>
<entry>
<id>http://www.google.com/base/feeds/items/17437536661927313949</id>
<updated>2006-07-11T14:51:43.246Z</updated>
<content type="text">Deleted</content>
<batch:operation type="delete"/>
<batch:status code="200" reason="Success"/>
</entry>
</feed>"""
ALBUM_FEED = """<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/" xmlns:exif="http://schemas.google.com/photos/exif/2007" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gml="http://www.opengis.net/gml" xmlns:georss="http://www.georss.org/georss" xmlns:photo="http://www.pheed.com/pheed/" xmlns:media="http://search.yahoo.com/mrss/" xmlns:batch="http://schemas.google.com/gdata/batch" xmlns:gphoto="http://schemas.google.com/photos/2007">
<id>http://picasaweb.google.com/data/feed/api/user/sample.user/albumid/1</id>
<updated>2007-09-21T18:23:05.000Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/photos/2007#album"/>
<title type="text">Test</title>
<subtitle type="text"/>
<rights type="text">public</rights>
<icon>http://lh6.google.com/sample.user/Rt8WNoDZEJE/AAAAAAAAABk/HQGlDhpIgWo/s160-c/Test.jpg</icon>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="http://picasaweb.google.com/data/feed/api/user/sample.user/albumid/1"/>
<link rel="alternate" type="text/html" href="http://picasaweb.google.com/sample.user/Test"/>
<link rel="http://schemas.google.com/photos/2007#slideshow" type="application/x-shockwave-flash" href="http://picasaweb.google.com/s/c/bin/slideshow.swf?host=picasaweb.google.com&RGB=0x000000&feed=http%3A%2F%2Fpicasaweb.google.com%2Fdata%2Ffeed%2Fapi%2Fuser%2Fsample.user%2Falbumid%2F1%3Falt%3Drss"/>
<link rel="self" type="application/atom+xml" href="http://picasaweb.google.com/data/feed/api/user/sample.user/albumid/1?start-index=1&max-results=500&kind=photo%2Ctag"/>
<author>
<name>sample</name>
<uri>http://picasaweb.google.com/sample.user</uri>
</author>
<generator version="1.00" uri="http://picasaweb.google.com/">Picasaweb</generator> <openSearch:totalResults>4</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<openSearch:itemsPerPage>500</openSearch:itemsPerPage>
<gphoto:id>1</gphoto:id>
<gphoto:name>Test</gphoto:name>
<gphoto:location/>
<gphoto:access>public</gphoto:access> <gphoto:timestamp>1188975600000</gphoto:timestamp>
<gphoto:numphotos>2</gphoto:numphotos>
<gphoto:user>sample.user</gphoto:user>
<gphoto:nickname>sample</gphoto:nickname>
<gphoto:commentingEnabled>true</gphoto:commentingEnabled>
<gphoto:commentCount>0</gphoto:commentCount>
<entry> <id>http://picasaweb.google.com/data/entry/api/user/sample.user/albumid/1/photoid/2</id>
<published>2007-09-05T20:49:23.000Z</published>
<updated>2007-09-21T18:23:05.000Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/photos/2007#photo"/>
<title type="text">Aqua Blue.jpg</title>
<summary type="text">Blue</summary>
<content type="image/jpeg" src="http://lh4.google.com/sample.user/Rt8WU4DZEKI/AAAAAAAAABY/IVgLqmnzJII/Aqua%20Blue.jpg"/> <link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="http://picasaweb.google.com/data/feed/api/user/sample.user/albumid/1/photoid/2"/>
<link rel="alternate" type="text/html" href="http://picasaweb.google.com/sample.user/Test/photo#2"/>
<link rel="self" type="application/atom+xml" href="http://picasaweb.google.com/data/entry/api/user/sample.user/albumid/1/photoid/2"/>
<gphoto:id>2</gphoto:id>
<gphoto:version>1190398985145172</gphoto:version>
<gphoto:position>0.0</gphoto:position>
<gphoto:albumid>1</gphoto:albumid> <gphoto:width>2560</gphoto:width>
<gphoto:height>1600</gphoto:height>
<gphoto:size>883405</gphoto:size>
<gphoto:client/>
<gphoto:checksum/>
<gphoto:timestamp>1189025362000</gphoto:timestamp>
<exif:tags> <exif:flash>true</exif:flash>
<exif:imageUniqueID>c041ce17aaa637eb656c81d9cf526c24</exif:imageUniqueID>
</exif:tags>
<gphoto:commentingEnabled>true</gphoto:commentingEnabled>
<gphoto:commentCount>1</gphoto:commentCount>
<media:group>
<media:title type="plain">Aqua Blue.jpg</media:title> <media:description type="plain">Blue</media:description>
<media:keywords>tag, test</media:keywords>
<media:content url="http://lh4.google.com/sample.user/Rt8WU4DZEKI/AAAAAAAAABY/IVgLqmnzJII/Aqua%20Blue.jpg" height="1600" width="2560" type="image/jpeg" medium="image"/>
<media:thumbnail url="http://lh4.google.com/sample.user/Rt8WU4DZEKI/AAAAAAAAABY/IVgLqmnzJII/s72/Aqua%20Blue.jpg" height="45" width="72"/>
<media:thumbnail url="http://lh4.google.com/sample.user/Rt8WU4DZEKI/AAAAAAAAABY/IVgLqmnzJII/s144/Aqua%20Blue.jpg" height="90" width="144"/>
<media:thumbnail url="http://lh4.google.com/sample.user/Rt8WU4DZEKI/AAAAAAAAABY/IVgLqmnzJII/s288/Aqua%20Blue.jpg" height="180" width="288"/>
<media:credit>sample</media:credit>
</media:group>
</entry>
<entry>
<id>http://picasaweb.google.com/data/entry/api/user/sample.user/albumid/1/photoid/3</id>
<published>2007-09-05T20:49:24.000Z</published>
<updated>2007-09-21T18:19:38.000Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/photos/2007#photo"/>
<title type="text">Aqua Graphite.jpg</title>
<summary type="text">Gray</summary>
<content type="image/jpeg" src="http://lh5.google.com/sample.user/Rt8WVIDZELI/AAAAAAAAABg/d7e0i7gvhNU/Aqua%20Graphite.jpg"/>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="http://picasaweb.google.com/data/feed/api/user/sample.user/albumid/1/photoid/3"/>
<link rel="alternate" type="text/html" href="http://picasaweb.google.com/sample.user/Test/photo#3"/>
<link rel="self" type="application/atom+xml" href="http://picasaweb.google.com/data/entry/api/user/sample.user/albumid/1/photoid/3"/>
<gphoto:id>3</gphoto:id>
<gphoto:version>1190398778006402</gphoto:version>
<gphoto:position>1.0</gphoto:position>
<gphoto:albumid>1</gphoto:albumid>
<gphoto:width>2560</gphoto:width>
<gphoto:height>1600</gphoto:height>
<gphoto:size>798334</gphoto:size>
<gphoto:client/>
<gphoto:checksum/>
<gphoto:timestamp>1189025363000</gphoto:timestamp>
<exif:tags>
<exif:flash>true</exif:flash>
<exif:imageUniqueID>a5ce2e36b9df7d3cb081511c72e73926</exif:imageUniqueID>
</exif:tags>
<gphoto:commentingEnabled>true</gphoto:commentingEnabled>
<gphoto:commentCount>0</gphoto:commentCount>
<media:group>
<media:title type="plain">Aqua Graphite.jpg</media:title>
<media:description type="plain">Gray</media:description>
<media:keywords/>
<media:content url="http://lh5.google.com/sample.user/Rt8WVIDZELI/AAAAAAAAABg/d7e0i7gvhNU/Aqua%20Graphite.jpg" height="1600" width="2560" type="image/jpeg" medium="image"/>
<media:thumbnail url="http://lh5.google.com/sample.user/Rt8WVIDZELI/AAAAAAAAABg/d7e0i7gvhNU/s72/Aqua%20Graphite.jpg" height="45" width="72"/>
<media:thumbnail url="http://lh5.google.com/sample.user/Rt8WVIDZELI/AAAAAAAAABg/d7e0i7gvhNU/s144/Aqua%20Graphite.jpg" height="90" width="144"/>
<media:thumbnail url="http://lh5.google.com/sample.user/Rt8WVIDZELI/AAAAAAAAABg/d7e0i7gvhNU/s288/Aqua%20Graphite.jpg" height="180" width="288"/>
<media:credit>sample</media:credit>
</media:group>
</entry>
<entry>
<id>http://picasaweb.google.com/data/entry/api/user/sample.user/albumid/1/tag/tag</id>
<updated>2007-09-05T20:49:24.000Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/photos/2007#tag"/>
<title type="text">tag</title>
<summary type="text">tag</summary>
<link rel="alternate" type="text/html" href="http://picasaweb.google.com/lh/searchbrowse?q=tag&psc=G&uname=sample.user&filter=0"/>
<link rel="self" type="application/atom+xml" href="http://picasaweb.google.com/data/entry/api/user/sample.user/albumid/1/tag/tag"/>
<author>
<name>sample</name>
<uri>http://picasaweb.google.com/sample.user</uri>
</author>
</entry>
<entry>
<id>http://picasaweb.google.com/data/entry/api/user/sample.user/albumid/1/tag/test</id>
<updated>2007-09-05T20:49:24.000Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/photos/2007#tag"/>
<title type="text">test</title>
<summary type="text">test</summary>
<link rel="alternate" type="text/html" href="http://picasaweb.google.com/lh/searchbrowse?q=test&psc=G&uname=sample.user&filter=0"/>
<link rel="self" type="application/atom+xml" href="http://picasaweb.google.com/data/entry/api/user/sample.user/albumid/1/tag/test"/>
<author>
<name>sample</name>
<uri>http://picasaweb.google.com/sample.user</uri>
</author>
</entry>
</feed>"""
CODE_SEARCH_FEED = """<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:opensearch="http://a9.com/-/spec/opensearchrss/1.0/" xmlns:gcs="http://schemas.google.com/codesearch/2006" xml:base="http://www.google.com">
<id>http://www.google.com/codesearch/feeds/search?q=malloc</id>
<updated>2007-12-19T16:08:04Z</updated>
<title type="text">Google Code Search</title>
<generator version="1.0" uri="http://www.google.com/codesearch">Google Code Search</generator>
<opensearch:totalResults>2530000</opensearch:totalResults>
<opensearch:startIndex>1</opensearch:startIndex>
<author>
<name>Google Code Search</name>
<uri>http://www.google.com/codesearch</uri>
</author>
<link rel="http://schemas.google.com/g/2006#feed" type="application/atom+xml" href="http://schemas.google.com/codesearch/2006"/>
<link rel="self" type="application/atom+xml" href="http://www.google.com/codesearch/feeds/search?q=malloc"/>
<link rel="next" type="application/atom+xml" href="http://www.google.com/codesearch/feeds/search?q=malloc&start-index=11"/>
<link rel="alternate" type="text/html" href="http://www.google.com/codesearch?q=malloc"/>
<entry><id>http://www.google.com/codesearch?hl=en&q=+malloc+show:LDjwp-Iqc7U:84hEYaYsZk8:xDGReDhvNi0&sa=N&ct=rx&cd=1&cs_p=http://www.gnu.org&cs_f=software/autoconf/manual/autoconf-2.60/autoconf.html-002&cs_p=http://www.gnu.org&cs_f=software/autoconf/manual/autoconf-2.60/autoconf.html-002#first</id><updated>2007-12-19T16:08:04Z</updated><author><name>Code owned by external author.</name></author><title type="text">software/autoconf/manual/autoconf-2.60/autoconf.html</title><link rel="alternate" type="text/html" href="http://www.google.com/codesearch?hl=en&q=+malloc+show:LDjwp-Iqc7U:84hEYaYsZk8:xDGReDhvNi0&sa=N&ct=rx&cd=1&cs_p=http://www.gnu.org&cs_f=software/autoconf/manual/autoconf-2.60/autoconf.html-002&cs_p=http://www.gnu.org&cs_f=software/autoconf/manual/autoconf-2.60/autoconf.html-002#first"/><gcs:package name="http://www.gnu.org" uri="http://www.gnu.org"></gcs:package><gcs:file name="software/autoconf/manual/autoconf-2.60/autoconf.html-002"></gcs:file><content type="text/html"><pre> 8: void *<b>malloc</b> ();
</pre></content><gcs:match lineNumber="4" type="text/html"><pre> #undef <b>malloc</b>
</pre></gcs:match><gcs:match lineNumber="8" type="text/html"><pre> void *<b>malloc</b> ();
</pre></gcs:match><gcs:match lineNumber="14" type="text/html"><pre> rpl_<b>malloc</b> (size_t n)
</pre></gcs:match><gcs:match lineNumber="18" type="text/html"><pre> return <b>malloc</b> (n);
</pre></gcs:match></entry>
<entry><id>http://www.google.com/codesearch?hl=en&q=+malloc+show:h4hfh-fV-jI:niBq_bwWZNs:H0OhClf0HWQ&sa=N&ct=rx&cd=2&cs_p=ftp://ftp.gnu.org/gnu/guile/guile-1.6.8.tar.gz&cs_f=guile-1.6.8/libguile/mallocs.c&cs_p=ftp://ftp.gnu.org/gnu/guile/guile-1.6.8.tar.gz&cs_f=guile-1.6.8/libguile/mallocs.c#first</id><updated>2007-12-19T16:08:04Z</updated><author><name>Code owned by external author.</name></author><title type="text">guile-1.6.8/libguile/mallocs.c</title><link rel="alternate" type="text/html" href="http://www.google.com/codesearch?hl=en&q=+malloc+show:h4hfh-fV-jI:niBq_bwWZNs:H0OhClf0HWQ&sa=N&ct=rx&cd=2&cs_p=ftp://ftp.gnu.org/gnu/guile/guile-1.6.8.tar.gz&cs_f=guile-1.6.8/libguile/mallocs.c&cs_p=ftp://ftp.gnu.org/gnu/guile/guile-1.6.8.tar.gz&cs_f=guile-1.6.8/libguile/mallocs.c#first"/><gcs:package name="ftp://ftp.gnu.org/gnu/guile/guile-1.6.8.tar.gz" uri="ftp://ftp.gnu.org/gnu/guile/guile-1.6.8.tar.gz"></gcs:package><gcs:file name="guile-1.6.8/libguile/mallocs.c"></gcs:file><content type="text/html"><pre> 86: {
scm_t_bits mem = n ? (scm_t_bits) <b>malloc</b> (n) : 0;
if (n &amp;&amp; !mem)
</pre></content><gcs:match lineNumber="54" type="text/html"><pre>#include &lt;<b>malloc</b>.h&gt;
</pre></gcs:match><gcs:match lineNumber="62" type="text/html"><pre>scm_t_bits scm_tc16_<b>malloc</b>;
</pre></gcs:match><gcs:match lineNumber="66" type="text/html"><pre><b>malloc</b>_free (SCM ptr)
</pre></gcs:match><gcs:match lineNumber="75" type="text/html"><pre><b>malloc</b>_print (SCM exp, SCM port, scm_print_state *pstate SCM_UNUSED)
</pre></gcs:match><gcs:match lineNumber="77" type="text/html"><pre> scm_puts(&quot;#&lt;<b>malloc</b> &quot;, port);
</pre></gcs:match><gcs:match lineNumber="87" type="text/html"><pre> scm_t_bits mem = n ? (scm_t_bits) <b>malloc</b> (n) : 0;
</pre></gcs:match><gcs:match lineNumber="90" type="text/html"><pre> SCM_RETURN_NEWSMOB (scm_tc16_<b>malloc</b>, mem);
</pre></gcs:match><gcs:match lineNumber="98" type="text/html"><pre> scm_tc16_<b>malloc</b> = scm_make_smob_type (&quot;<b>malloc</b>&quot;, 0);
</pre></gcs:match><gcs:match lineNumber="99" type="text/html"><pre> scm_set_smob_free (scm_tc16_<b>malloc</b>, <b>malloc</b>_free);
</pre></gcs:match><rights>GPL</rights></entry>
<entry><id>http://www.google.com/codesearch?hl=en&q=+malloc+show:9wyZUG-N_30:7_dFxoC1ZrY:C0_iYbFj90M&sa=N&ct=rx&cd=3&cs_p=http://ftp.gnu.org/gnu/bash/bash-3.0.tar.gz&cs_f=bash-3.0/lib/malloc/alloca.c&cs_p=http://ftp.gnu.org/gnu/bash/bash-3.0.tar.gz&cs_f=bash-3.0/lib/malloc/alloca.c#first</id><updated>2007-12-19T16:08:04Z</updated><author><name>Code owned by external author.</name></author><title type="text">bash-3.0/lib/malloc/alloca.c</title><link rel="alternate" type="text/html" href="http://www.google.com/codesearch?hl=en&q=+malloc+show:9wyZUG-N_30:7_dFxoC1ZrY:C0_iYbFj90M&sa=N&ct=rx&cd=3&cs_p=http://ftp.gnu.org/gnu/bash/bash-3.0.tar.gz&cs_f=bash-3.0/lib/malloc/alloca.c&cs_p=http://ftp.gnu.org/gnu/bash/bash-3.0.tar.gz&cs_f=bash-3.0/lib/malloc/alloca.c#first"/><gcs:package name="http://ftp.gnu.org/gnu/bash/bash-3.0.tar.gz" uri="http://ftp.gnu.org/gnu/bash/bash-3.0.tar.gz"></gcs:package><gcs:file name="bash-3.0/lib/malloc/alloca.c"></gcs:file><content type="text/html"><pre> 78: #ifndef emacs
#define <b>malloc</b> x<b>malloc</b>
extern pointer x<b>malloc</b> ();
</pre></content><gcs:match lineNumber="69" type="text/html"><pre> <b>malloc</b>. The Emacs executable needs alloca to call x<b>malloc</b>, because
</pre></gcs:match><gcs:match lineNumber="70" type="text/html"><pre> ordinary <b>malloc</b> isn&#39;t protected from input signals. On the other
</pre></gcs:match><gcs:match lineNumber="71" type="text/html"><pre> hand, the utilities in lib-src need alloca to call <b>malloc</b>; some of
</pre></gcs:match><gcs:match lineNumber="72" type="text/html"><pre> them are very simple, and don&#39;t have an x<b>malloc</b> routine.
</pre></gcs:match><gcs:match lineNumber="76" type="text/html"><pre> Callers below should use <b>malloc</b>. */
</pre></gcs:match><gcs:match lineNumber="79" type="text/html"><pre>#define <b>malloc</b> x<b>malloc</b>
</pre></gcs:match><gcs:match lineNumber="80" type="text/html"><pre>extern pointer x<b>malloc</b> ();
</pre></gcs:match><gcs:match lineNumber="132" type="text/html"><pre> It is very important that sizeof(header) agree with <b>malloc</b>
</pre></gcs:match><gcs:match lineNumber="198" type="text/html"><pre> register pointer new = <b>malloc</b> (sizeof (header) + size);
</pre></gcs:match><rights>GPL</rights></entry>
<entry><id>http://www.google.com/codesearch?hl=en&q=+malloc+show:uhVCKyPcT6k:8juMxxzmUJw:H7_IDsTB2L4&sa=N&ct=rx&cd=4&cs_p=http://ftp.mozilla.org/pub/mozilla.org/mozilla/releases/mozilla1.7b/src/mozilla-source-1.7b-source.tar.bz2&cs_f=mozilla/xpcom/build/malloc.c&cs_p=http://ftp.mozilla.org/pub/mozilla.org/mozilla/releases/mozilla1.7b/src/mozilla-source-1.7b-source.tar.bz2&cs_f=mozilla/xpcom/build/malloc.c#first</id><updated>2007-12-19T16:08:04Z</updated><author><name>Code owned by external author.</name></author><title type="text">mozilla/xpcom/build/malloc.c</title><link rel="alternate" type="text/html" href="http://www.google.com/codesearch?hl=en&q=+malloc+show:uhVCKyPcT6k:8juMxxzmUJw:H7_IDsTB2L4&sa=N&ct=rx&cd=4&cs_p=http://ftp.mozilla.org/pub/mozilla.org/mozilla/releases/mozilla1.7b/src/mozilla-source-1.7b-source.tar.bz2&cs_f=mozilla/xpcom/build/malloc.c&cs_p=http://ftp.mozilla.org/pub/mozilla.org/mozilla/releases/mozilla1.7b/src/mozilla-source-1.7b-source.tar.bz2&cs_f=mozilla/xpcom/build/malloc.c#first"/><gcs:package name="http://ftp.mozilla.org/pub/mozilla.org/mozilla/releases/mozilla1.7b/src/mozilla-source-1.7b-source.tar.bz2" uri="http://ftp.mozilla.org/pub/mozilla.org/mozilla/releases/mozilla1.7b/src/mozilla-source-1.7b-source.tar.bz2"></gcs:package><gcs:file name="mozilla/xpcom/build/malloc.c"></gcs:file><content type="text/html"><pre> 54: http://gee.cs.oswego.edu/dl/html/<b>malloc</b>.html
You may already by default be using a c library containing a <b>malloc</b>
</pre></content><gcs:match lineNumber="4" type="text/html"><pre>/* ---------- To make a <b>malloc</b>.h, start cutting here ------------ */
</pre></gcs:match><gcs:match lineNumber="22" type="text/html"><pre> Note: There may be an updated version of this <b>malloc</b> obtainable at
</pre></gcs:match><gcs:match lineNumber="23" type="text/html"><pre> ftp://gee.cs.oswego.edu/pub/misc/<b>malloc</b>.c
</pre></gcs:match><gcs:match lineNumber="34" type="text/html"><pre>* Why use this <b>malloc</b>?
</pre></gcs:match><gcs:match lineNumber="37" type="text/html"><pre> most tunable <b>malloc</b> ever written. However it is among the fastest
</pre></gcs:match><gcs:match lineNumber="40" type="text/html"><pre> allocator for <b>malloc</b>-intensive programs.
</pre></gcs:match><gcs:match lineNumber="54" type="text/html"><pre> http://gee.cs.oswego.edu/dl/html/<b>malloc</b>.html
</pre></gcs:match><gcs:match lineNumber="56" type="text/html"><pre> You may already by default be using a c library containing a <b>malloc</b>
</pre></gcs:match><gcs:match lineNumber="57" type="text/html"><pre> that is somehow based on some version of this <b>malloc</b> (for example in
</pre></gcs:match><rights>Mozilla</rights></entry>
<entry><id>http://www.google.com/codesearch?hl=en&q=+malloc+show:4n1P2HVOISs:Ybbpph0wR2M:OhIN_sDrG0U&sa=N&ct=rx&cd=5&cs_p=http://regexps.srparish.net/src/hackerlab/hackerlab-1.0pre2.tar.gz&cs_f=hackerlab-1.0pre2/src/hackerlab/tests/mem-tests/unit-must-malloc.sh&cs_p=http://regexps.srparish.net/src/hackerlab/hackerlab-1.0pre2.tar.gz&cs_f=hackerlab-1.0pre2/src/hackerlab/tests/mem-tests/unit-must-malloc.sh#first</id><updated>2007-12-19T16:08:04Z</updated><author><name>Code owned by external author.</name></author><title type="text">hackerlab-1.0pre2/src/hackerlab/tests/mem-tests/unit-must-malloc.sh</title><link rel="alternate" type="text/html" href="http://www.google.com/codesearch?hl=en&q=+malloc+show:4n1P2HVOISs:Ybbpph0wR2M:OhIN_sDrG0U&sa=N&ct=rx&cd=5&cs_p=http://regexps.srparish.net/src/hackerlab/hackerlab-1.0pre2.tar.gz&cs_f=hackerlab-1.0pre2/src/hackerlab/tests/mem-tests/unit-must-malloc.sh&cs_p=http://regexps.srparish.net/src/hackerlab/hackerlab-1.0pre2.tar.gz&cs_f=hackerlab-1.0pre2/src/hackerlab/tests/mem-tests/unit-must-malloc.sh#first"/><gcs:package name="http://regexps.srparish.net/src/hackerlab/hackerlab-1.0pre2.tar.gz" uri="http://regexps.srparish.net/src/hackerlab/hackerlab-1.0pre2.tar.gz"></gcs:package><gcs:file name="hackerlab-1.0pre2/src/hackerlab/tests/mem-tests/unit-must-malloc.sh"></gcs:file><content type="text/html"><pre> 11: echo ================ unit-must-<b>malloc</b> tests ================
./unit-must-<b>malloc</b>
echo ...passed
</pre></content><gcs:match lineNumber="2" type="text/html"><pre># tag: Tom Lord Tue Dec 4 14:54:29 2001 (mem-tests/unit-must-<b>malloc</b>.sh)
</pre></gcs:match><gcs:match lineNumber="11" type="text/html"><pre>echo ================ unit-must-<b>malloc</b> tests ================
</pre></gcs:match><gcs:match lineNumber="12" type="text/html"><pre>./unit-must-<b>malloc</b>
</pre></gcs:match><rights>GPL</rights></entry>
<entry><id>http://www.google.com/codesearch?hl=en&q=+malloc+show:GzkwiWG266M:ykuz3bG00ws:2sTvVSif08g&sa=N&ct=rx&cd=6&cs_p=http://ftp.gnu.org/gnu/tar/tar-1.14.tar.bz2&cs_f=tar-1.14/lib/malloc.c&cs_p=http://ftp.gnu.org/gnu/tar/tar-1.14.tar.bz2&cs_f=tar-1.14/lib/malloc.c#first</id><updated>2007-12-19T16:08:04Z</updated><author><name>Code owned by external author.</name></author><title type="text">tar-1.14/lib/malloc.c</title><link rel="alternate" type="text/html" href="http://www.google.com/codesearch?hl=en&q=+malloc+show:GzkwiWG266M:ykuz3bG00ws:2sTvVSif08g&sa=N&ct=rx&cd=6&cs_p=http://ftp.gnu.org/gnu/tar/tar-1.14.tar.bz2&cs_f=tar-1.14/lib/malloc.c&cs_p=http://ftp.gnu.org/gnu/tar/tar-1.14.tar.bz2&cs_f=tar-1.14/lib/malloc.c#first"/><gcs:package name="http://ftp.gnu.org/gnu/tar/tar-1.14.tar.bz2" uri="http://ftp.gnu.org/gnu/tar/tar-1.14.tar.bz2"></gcs:package><gcs:file name="tar-1.14/lib/malloc.c"></gcs:file><content type="text/html"><pre> 22: #endif
#undef <b>malloc</b>
</pre></content><gcs:match lineNumber="1" type="text/html"><pre>/* Work around bug on some systems where <b>malloc</b> (0) fails.
</pre></gcs:match><gcs:match lineNumber="23" type="text/html"><pre>#undef <b>malloc</b>
</pre></gcs:match><gcs:match lineNumber="31" type="text/html"><pre>rpl_<b>malloc</b> (size_t n)
</pre></gcs:match><gcs:match lineNumber="35" type="text/html"><pre> return <b>malloc</b> (n);
</pre></gcs:match><rights>GPL</rights></entry>
<entry><id>http://www.google.com/codesearch?hl=en&q=+malloc+show:o_TFIeBY6dY:ktI_dt8wPao:AI03BD1Dz0Y&sa=N&ct=rx&cd=7&cs_p=http://ftp.gnu.org/gnu/tar/tar-1.16.1.tar.gz&cs_f=tar-1.16.1/lib/malloc.c&cs_p=http://ftp.gnu.org/gnu/tar/tar-1.16.1.tar.gz&cs_f=tar-1.16.1/lib/malloc.c#first</id><updated>2007-12-19T16:08:04Z</updated><author><name>Code owned by external author.</name></author><title type="text">tar-1.16.1/lib/malloc.c</title><link rel="alternate" type="text/html" href="http://www.google.com/codesearch?hl=en&q=+malloc+show:o_TFIeBY6dY:ktI_dt8wPao:AI03BD1Dz0Y&sa=N&ct=rx&cd=7&cs_p=http://ftp.gnu.org/gnu/tar/tar-1.16.1.tar.gz&cs_f=tar-1.16.1/lib/malloc.c&cs_p=http://ftp.gnu.org/gnu/tar/tar-1.16.1.tar.gz&cs_f=tar-1.16.1/lib/malloc.c#first"/><gcs:package name="http://ftp.gnu.org/gnu/tar/tar-1.16.1.tar.gz" uri="http://ftp.gnu.org/gnu/tar/tar-1.16.1.tar.gz"></gcs:package><gcs:file name="tar-1.16.1/lib/malloc.c"></gcs:file><content type="text/html"><pre> 21: #include &lt;config.h&gt;
#undef <b>malloc</b>
</pre></content><gcs:match lineNumber="1" type="text/html"><pre>/* <b>malloc</b>() function that is glibc compatible.
</pre></gcs:match><gcs:match lineNumber="22" type="text/html"><pre>#undef <b>malloc</b>
</pre></gcs:match><gcs:match lineNumber="30" type="text/html"><pre>rpl_<b>malloc</b> (size_t n)
</pre></gcs:match><gcs:match lineNumber="34" type="text/html"><pre> return <b>malloc</b> (n);
</pre></gcs:match><rights>GPL</rights></entry>
<entry><id>http://www.google.com/codesearch?hl=en&q=+malloc+show:_ibw-VLkMoI:jBOtIJSmFd4:-0NUEVeCwfY&sa=N&ct=rx&cd=8&cs_p=http://freshmeat.net/redir/uclibc/20616/url_bz2/uClibc-0.9.28.1.tar.bz2&cs_f=uClibc-0.9.29/include/malloc.h&cs_p=http://freshmeat.net/redir/uclibc/20616/url_bz2/uClibc-0.9.28.1.tar.bz2&cs_f=uClibc-0.9.29/include/malloc.h#first</id><updated>2007-12-19T16:08:04Z</updated><author><name>Code owned by external author.</name></author><title type="text">uClibc-0.9.29/include/malloc.h</title><link rel="alternate" type="text/html" href="http://www.google.com/codesearch?hl=en&q=+malloc+show:_ibw-VLkMoI:jBOtIJSmFd4:-0NUEVeCwfY&sa=N&ct=rx&cd=8&cs_p=http://freshmeat.net/redir/uclibc/20616/url_bz2/uClibc-0.9.28.1.tar.bz2&cs_f=uClibc-0.9.29/include/malloc.h&cs_p=http://freshmeat.net/redir/uclibc/20616/url_bz2/uClibc-0.9.28.1.tar.bz2&cs_f=uClibc-0.9.29/include/malloc.h#first"/><gcs:package name="http://freshmeat.net/redir/uclibc/20616/url_bz2/uClibc-0.9.28.1.tar.bz2" uri="http://freshmeat.net/redir/uclibc/20616/url_bz2/uClibc-0.9.28.1.tar.bz2"></gcs:package><gcs:file name="uClibc-0.9.29/include/malloc.h"></gcs:file><content type="text/html"><pre> 1: /* Prototypes and definition for <b>malloc</b> implementation.
Copyright (C) 1996, 1997, 1999, 2000 Free Software Foundation, Inc.
</pre></content><gcs:match lineNumber="1" type="text/html"><pre>/* Prototypes and definition for <b>malloc</b> implementation.
</pre></gcs:match><gcs:match lineNumber="26" type="text/html"><pre> `pt<b>malloc</b>&#39;, a <b>malloc</b> implementation for multiple threads without
</pre></gcs:match><gcs:match lineNumber="28" type="text/html"><pre> See the files `pt<b>malloc</b>.c&#39; or `COPYRIGHT&#39; for copying conditions.
</pre></gcs:match><gcs:match lineNumber="32" type="text/html"><pre> This work is mainly derived from <b>malloc</b>-2.6.4 by Doug Lea
</pre></gcs:match><gcs:match lineNumber="35" type="text/html"><pre> ftp://g.oswego.edu/pub/misc/<b>malloc</b>.c
</pre></gcs:match><gcs:match lineNumber="40" type="text/html"><pre> `pt<b>malloc</b>.c&#39;.
</pre></gcs:match><gcs:match lineNumber="45" type="text/html"><pre># define __<b>malloc</b>_ptr_t void *
</pre></gcs:match><gcs:match lineNumber="51" type="text/html"><pre># define __<b>malloc</b>_ptr_t char *
</pre></gcs:match><gcs:match lineNumber="56" type="text/html"><pre># define __<b>malloc</b>_size_t size_t
</pre></gcs:match><rights>LGPL</rights></entry>
<entry><id>http://www.google.com/codesearch?hl=en&q=+malloc+show:F6qHcZ9vefo:bTX7o9gKfks:hECF4r_eKC0&sa=N&ct=rx&cd=9&cs_p=http://ftp.gnu.org/gnu/glibc/glibc-2.0.1.tar.gz&cs_f=glibc-2.0.1/hurd/hurdmalloc.h&cs_p=http://ftp.gnu.org/gnu/glibc/glibc-2.0.1.tar.gz&cs_f=glibc-2.0.1/hurd/hurdmalloc.h#first</id><updated>2007-12-19T16:08:04Z</updated><author><name>Code owned by external author.</name></author><title type="text">glibc-2.0.1/hurd/hurdmalloc.h</title><link rel="alternate" type="text/html" href="http://www.google.com/codesearch?hl=en&q=+malloc+show:F6qHcZ9vefo:bTX7o9gKfks:hECF4r_eKC0&sa=N&ct=rx&cd=9&cs_p=http://ftp.gnu.org/gnu/glibc/glibc-2.0.1.tar.gz&cs_f=glibc-2.0.1/hurd/hurdmalloc.h&cs_p=http://ftp.gnu.org/gnu/glibc/glibc-2.0.1.tar.gz&cs_f=glibc-2.0.1/hurd/hurdmalloc.h#first"/><gcs:package name="http://ftp.gnu.org/gnu/glibc/glibc-2.0.1.tar.gz" uri="http://ftp.gnu.org/gnu/glibc/glibc-2.0.1.tar.gz"></gcs:package><gcs:file name="glibc-2.0.1/hurd/hurdmalloc.h"></gcs:file><content type="text/html"><pre> 15: #define <b>malloc</b> _hurd_<b>malloc</b>
#define realloc _hurd_realloc
</pre></content><gcs:match lineNumber="3" type="text/html"><pre> All hurd-internal code which uses <b>malloc</b> et al includes this file so it
</pre></gcs:match><gcs:match lineNumber="4" type="text/html"><pre> will use the internal <b>malloc</b> routines _hurd_{<b>malloc</b>,realloc,free}
</pre></gcs:match><gcs:match lineNumber="7" type="text/html"><pre> of <b>malloc</b> et al is the unixoid one using sbrk.
</pre></gcs:match><gcs:match lineNumber="11" type="text/html"><pre>extern void *_hurd_<b>malloc</b> (size_t);
</pre></gcs:match><gcs:match lineNumber="15" type="text/html"><pre>#define <b>malloc</b> _hurd_<b>malloc</b>
</pre></gcs:match><rights>GPL</rights></entry>
<entry><id>http://www.google.com/codesearch?hl=en&q=+malloc+show:CHUvHYzyLc8:pdcAfzDA6lY:wjofHuNLTHg&sa=N&ct=rx&cd=10&cs_p=ftp://apache.mirrors.pair.com/httpd/httpd-2.2.4.tar.bz2&cs_f=httpd-2.2.4/srclib/apr/include/arch/netware/apr_private.h&cs_p=ftp://apache.mirrors.pair.com/httpd/httpd-2.2.4.tar.bz2&cs_f=httpd-2.2.4/srclib/apr/include/arch/netware/apr_private.h#first</id><updated>2007-12-19T16:08:04Z</updated><author><name>Code owned by external author.</name></author><title type="text">httpd-2.2.4/srclib/apr/include/arch/netware/apr_private.h</title><link rel="alternate" type="text/html" href="http://www.google.com/codesearch?hl=en&q=+malloc+show:CHUvHYzyLc8:pdcAfzDA6lY:wjofHuNLTHg&sa=N&ct=rx&cd=10&cs_p=ftp://apache.mirrors.pair.com/httpd/httpd-2.2.4.tar.bz2&cs_f=httpd-2.2.4/srclib/apr/include/arch/netware/apr_private.h&cs_p=ftp://apache.mirrors.pair.com/httpd/httpd-2.2.4.tar.bz2&cs_f=httpd-2.2.4/srclib/apr/include/arch/netware/apr_private.h#first"/><gcs:package name="ftp://apache.mirrors.pair.com/httpd/httpd-2.2.4.tar.bz2" uri="ftp://apache.mirrors.pair.com/httpd/httpd-2.2.4.tar.bz2"></gcs:package><gcs:file name="httpd-2.2.4/srclib/apr/include/arch/netware/apr_private.h"></gcs:file><content type="text/html"><pre> 173: #undef <b>malloc</b>
#define <b>malloc</b>(x) library_<b>malloc</b>(gLibHandle,x)
</pre></content><gcs:match lineNumber="170" type="text/html"><pre>/* Redefine <b>malloc</b> to use the library <b>malloc</b> call so
</pre></gcs:match><gcs:match lineNumber="173" type="text/html"><pre>#undef <b>malloc</b>
</pre></gcs:match><gcs:match lineNumber="174" type="text/html"><pre>#define <b>malloc</b>(x) library_<b>malloc</b>(gLibHandle,x)
</pre></gcs:match><rights>Apache</rights></entry>
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<entry><id>http://gdata.youtube.com/feeds/api/videos/C71ypXYGho8</id><published>2008-03-20T10:17:27.000-07:00</published><updated>2008-05-14T04:26:37.000-07:00</updated><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='karyn'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='garcia'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='me'/><category scheme='http://schemas.google.com/g/2005#kind' term='http://gdata.youtube.com/schemas/2007#video'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='boyfriend'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='por'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='te'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='odeio'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='amar'/><category scheme='http://gdata.youtube.com/schemas/2007/categories.cat' term='Music' label='Music'/><title type='text'>Me odeio por te amar - KARYN GARCIA</title><content type='text'>http://www.karyngarcia.com.br</content><link rel='alternate' type='text/html' href='http://www.youtube.com/watch?v=C71ypXYGho8'/><link rel='http://gdata.youtube.com/schemas/2007#video.related' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/videos/C71ypXYGho8/related'/><link rel='self' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/standardfeeds/top_rated/C71ypXYGho8'/><author><name>TvKarynGarcia</name><uri>http://gdata.youtube.com/feeds/api/users/tvkaryngarcia</uri></author><media:group><media:title type='plain'>Me odeio por te amar - KARYN GARCIA</media:title><media:description type='plain'>http://www.karyngarcia.com.br</media:description><media:keywords>amar, boyfriend, garcia, karyn, me, odeio, por, te</media:keywords><yt:duration seconds='203'/><media:category label='Music' scheme='http://gdata.youtube.com/schemas/2007/categories.cat'>Music</media:category><media:category label='test111' scheme='http://gdata.youtube.com/schemas/2007/developertags.cat'>test111</media:category><media:category label='test222' scheme='http://gdata.youtube.com/schemas/2007/developertags.cat'>test222</media:category><media:content url='http://www.youtube.com/v/C71ypXYGho8' type='application/x-shockwave-flash' medium='video' isDefault='true' expression='full' duration='203' yt:format='5'/><media:content url='rtsp://rtsp2.youtube.com/ChoLENy73wIaEQmPhgZ2pXK9CxMYDSANFEgGDA==/0/0/0/video.3gp' type='video/3gpp' medium='video' expression='full' duration='203' yt:format='1'/><media:content url='rtsp://rtsp2.youtube.com/ChoLENy73wIaEQmPhgZ2pXK9CxMYESARFEgGDA==/0/0/0/video.3gp' type='video/3gpp' medium='video' expression='full' duration='203' yt:format='6'/><media:player url='http://www.youtube.com/watch?v=C71ypXYGho8'/><media:thumbnail url='http://img.youtube.com/vi/C71ypXYGho8/2.jpg' height='97' width='130' time='00:01:41.500'/><media:thumbnail url='http://img.youtube.com/vi/C71ypXYGho8/1.jpg' height='97' width='130' time='00:00:50.750'/><media:thumbnail url='http://img.youtube.com/vi/C71ypXYGho8/3.jpg' height='97' width='130' time='00:02:32.250'/><media:thumbnail url='http://img.youtube.com/vi/C71ypXYGho8/0.jpg' height='240' width='320' time='00:01:41.500'/></media:group><yt:statistics viewCount='138864' favoriteCount='2474'/><gd:rating min='1' max='5' numRaters='4626' average='4.95'/><gd:comments><gd:feedLink href='http://gdata.youtube.com/feeds/api/videos/C71ypXYGho8/comments' countHint='27'/></gd:comments></entry>
<entry><id>http://gdata.youtube.com/feeds/api/videos/gsVaTyb1tBw</id><published>2008-02-15T04:31:45.000-08:00</published><updated>2008-05-14T05:09:42.000-07:00</updated><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='extreme'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='cam'/><category scheme='http://gdata.youtube.com/schemas/2007/categories.cat' term='Sports' label='Sports'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='alcala'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='kani'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='helmet'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='campillo'/><category scheme='http://schemas.google.com/g/2005#kind' term='http://gdata.youtube.com/schemas/2007#video'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='pato'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='dirt'/><title type='text'>extreme helmet cam Kani, Keil and Pato</title><content type='text'>trimmed</content><link rel='alternate' type='text/html' href='http://www.youtube.com/watch?v=gsVaTyb1tBw'/><link rel='http://gdata.youtube.com/schemas/2007#video.responses' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/videos/gsVaTyb1tBw/responses'/><link rel='http://gdata.youtube.com/schemas/2007#video.related' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/videos/gsVaTyb1tBw/related'/><link rel='self' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/standardfeeds/recently_featured/gsVaTyb1tBw'/><author><name>peraltamagic</name><uri>http://gdata.youtube.com/feeds/api/users/peraltamagic</uri></author><media:group><media:title type='plain'>extreme helmet cam Kani, Keil and Pato</media:title><media:description type='plain'>trimmed</media:description><media:keywords>alcala, cam, campillo, dirt, extreme, helmet, kani, pato</media:keywords><yt:duration seconds='31'/><media:category label='Sports' scheme='http://gdata.youtube.com/schemas/2007/categories.cat'>Sports</media:category><media:content url='http://www.youtube.com/v/gsVaTyb1tBw' type='application/x-shockwave-flash' medium='video' isDefault='true' expression='full' duration='31' yt:format='5'/><media:content url='rtsp://rtsp2.youtube.com/ChoLENy73wIaEQkctPUmT1rFghMYDSANFEgGDA==/0/0/0/video.3gp' type='video/3gpp' medium='video' expression='full' duration='31' yt:format='1'/><media:content url='rtsp://rtsp2.youtube.com/ChoLENy73wIaEQkctPUmT1rFghMYESARFEgGDA==/0/0/0/video.3gp' type='video/3gpp' medium='video' expression='full' duration='31' yt:format='6'/><media:player url='http://www.youtube.com/watch?v=gsVaTyb1tBw'/><media:thumbnail url='http://img.youtube.com/vi/gsVaTyb1tBw/2.jpg' height='97' width='130' time='00:00:15.500'/><media:thumbnail url='http://img.youtube.com/vi/gsVaTyb1tBw/1.jpg' height='97' width='130' time='00:00:07.750'/><media:thumbnail url='http://img.youtube.com/vi/gsVaTyb1tBw/3.jpg' height='97' width='130' time='00:00:23.250'/><media:thumbnail url='http://img.youtube.com/vi/gsVaTyb1tBw/0.jpg' height='240' width='320' time='00:00:15.500'/></media:group><yt:statistics viewCount='489941' favoriteCount='561'/><gd:rating min='1' max='5' numRaters='1255' average='4.11'/><gd:comments><gd:feedLink href='http://gdata.youtube.com/feeds/api/videos/gsVaTyb1tBw/comments' countHint='1116'/></gd:comments></entry>
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<link rel='related' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/andyland74'/>
<link rel='alternate' type='text/html' href='http://www.youtube.com/view_play_list?p=8BCDD04DE8F771B2'/>
<link rel='self' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/andyland74/playlists/8BCDD04DE8F771B2'/>
<author>
<name>andyland74</name>
<uri>http://gdata.youtube.com/feeds/users/andyland74</uri>
</author>
</entry>
</feed>"""
YOUTUBE_PLAYLIST_VIDEO_FEED = """<?xml version='1.0' encoding='UTF-8'?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:gml='http://www.opengis.net/gml' xmlns:georss='http://www.georss.org/georss' xmlns:media='http://search.yahoo.com/mrss/' xmlns:yt='http://gdata.youtube.com/schemas/2007' xmlns:gd='http://schemas.google.com/g/2005'><id>http://gdata.youtube.com/feeds/api/playlists/BCB3BB96DF51B505</id><updated>2008-05-16T12:03:17.000-07:00</updated><category scheme='http://schemas.google.com/g/2005#kind' term='http://gdata.youtube.com/schemas/2007#playlist'/><category scheme='http://gdata.youtube.com/schemas/2007/tags.cat' term='videos'/><category scheme='http://gdata.youtube.com/schemas/2007/tags.cat' term='python'/><title type='text'>Test Playlist</title><subtitle type='text'>Test playlist 1</subtitle><logo>http://www.youtube.com/img/pic_youtubelogo_123x63.gif</logo><link rel='alternate' type='text/html' href='http://www.youtube.com/view_play_list?p=BCB3BB96DF51B505'/><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/playlists/BCB3BB96DF51B505'/><link rel='self' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/playlists/BCB3BB96DF51B505?start-index=1&max-results=25'/><author><name>gdpython</name><uri>http://gdata.youtube.com/feeds/api/users/gdpython</uri></author><generator version='beta' uri='http://gdata.youtube.com/'>YouTube data API</generator><openSearch:totalResults>1</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><media:group><media:title type='plain'>Test Playlist</media:title><media:description type='plain'>Test playlist 1</media:description><media:content url='http://www.youtube.com/ep.swf?id=BCB3BB96DF51B505' type='application/x-shockwave-flash' yt:format='5'/></media:group><entry><id>http://gdata.youtube.com/feeds/api/playlists/BCB3BB96DF51B505/B0F29389E537F888</id><updated>2008-05-16T20:54:08.520Z</updated><category scheme='http://schemas.google.com/g/2005#kind' term='http://gdata.youtube.com/schemas/2007#playlist'/><title type='text'>Uploading YouTube Videos with the PHP Client Library</title><content type='text'>Jochen Hartmann demonstrates the basics of how to use the PHP Client Library with the YouTube Data API.
PHP Developer's Guide:
http://code.google.com/apis/youtube/developers_guide_php.html
Other documentation:
http://code.google.com/apis/youtube/</content><link rel='alternate' type='text/html' href='http://www.youtube.com/watch?v=iIp7OnHXBlo'/><link rel='http://gdata.youtube.com/schemas/2007#video.responses' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/videos/iIp7OnHXBlo/responses'/><link rel='http://gdata.youtube.com/schemas/2007#video.related' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/videos/iIp7OnHXBlo/related'/><link rel='related' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/videos/iIp7OnHXBlo'/><link rel='self' type='application/atom+xml' href='http://gdata.youtube.com/feeds/api/playlists/BCB3BB96DF51B505/B0F29389E537F888'/><author><name>GoogleDevelopers</name><uri>http://gdata.youtube.com/feeds/api/users/googledevelopers</uri></author><media:group><media:title type='plain'>Uploading YouTube Videos with the PHP Client Library</media:title><media:description type='plain'>Jochen Hartmann demonstrates the basics of how to use the PHP Client Library with the YouTube Data API.
PHP Developer's Guide:
http://code.google.com/apis/youtube/developers_guide_php.html
Other documentation:
http://code.google.com/apis/youtube/</media:description><media:keywords>api, data, demo, php, screencast, tutorial, uploading, walkthrough, youtube</media:keywords><yt:duration seconds='466'/><media:category label='Education' scheme='http://gdata.youtube.com/schemas/2007/categories.cat'>Education</media:category><media:content url='http://www.youtube.com/v/iIp7OnHXBlo' type='application/x-shockwave-flash' medium='video' isDefault='true' expression='full' duration='466' yt:format='5'/><media:content url='rtsp://rtsp2.youtube.com/ChoLENy73wIaEQlaBtdxOnuKiBMYDSANFEgGDA==/0/0/0/video.3gp' type='video/3gpp' medium='video' expression='full' duration='466' yt:format='1'/><media:content url='rtsp://rtsp2.youtube.com/ChoLENy73wIaEQlaBtdxOnuKiBMYESARFEgGDA==/0/0/0/video.3gp' type='video/3gpp' medium='video' expression='full' duration='466' yt:format='6'/><media:player url='http://www.youtube.com/watch?v=iIp7OnHXBlo'/><media:thumbnail url='http://img.youtube.com/vi/iIp7OnHXBlo/2.jpg' height='97' width='130' time='00:03:53'/><media:thumbnail url='http://img.youtube.com/vi/iIp7OnHXBlo/1.jpg' height='97' width='130' time='00:01:56.500'/><media:thumbnail url='http://img.youtube.com/vi/iIp7OnHXBlo/3.jpg' height='97' width='130' time='00:05:49.500'/><media:thumbnail url='http://img.youtube.com/vi/iIp7OnHXBlo/0.jpg' height='240' width='320' time='00:03:53'/></media:group><yt:statistics viewCount='1550' favoriteCount='5'/><gd:rating min='1' max='5' numRaters='3' average='4.67'/><yt:location>undefined</yt:location><gd:comments><gd:feedLink href='http://gdata.youtube.com/feeds/api/videos/iIp7OnHXBlo/comments' countHint='2'/></gd:comments><yt:position>1</yt:position></entry></feed>"""
YOUTUBE_SUBSCRIPTION_FEED = """<?xml version='1.0' encoding='UTF-8'?>
<feed xmlns='http://www.w3.org/2005/Atom'
xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/'
xmlns:media='http://search.yahoo.com/mrss/'
xmlns:yt='http://gdata.youtube.com/schemas/2007'
xmlns:gd='http://schemas.google.com/g/2005'>
<id>http://gdata.youtube.com/feeds/users/andyland74/subscriptions?start-index=1&max-results=25</id>
<updated>2008-02-26T00:26:15.635Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://gdata.youtube.com/schemas/2007#subscription'/>
<title type='text'>andyland74's Subscriptions</title>
<logo>http://www.youtube.com/img/pic_youtubelogo_123x63.gif</logo>
<link rel='related' type='application/atom+xml'
href='http://gdata.youtube.com/feeds/users/andyland74'/>
<link rel='alternate' type='text/html'
href='http://www.youtube.com/profile_subscriptions?user=andyland74'/>
<link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml'
href='http://gdata.youtube.com/feeds/users/andyland74/subscriptions'/>
<link rel='self' type='application/atom+xml'
href='http://gdata.youtube.com/feeds/users/andyland74/subscriptions?start-index=1&max-results=25'/>
<author>
<name>andyland74</name>
<uri>http://gdata.youtube.com/feeds/users/andyland74</uri>
</author>
<generator version='beta' uri='http://gdata.youtube.com/'>YouTube data API</generator>
<openSearch:totalResults>1</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<openSearch:itemsPerPage>25</openSearch:itemsPerPage>
<entry>
<id>http://gdata.youtube.com/feeds/users/andyland74/subscriptions/d411759045e2ad8c</id>
<published>2007-11-04T17:30:27.000-08:00</published>
<updated>2008-02-22T09:55:14.000-08:00</updated>
<category scheme='http://gdata.youtube.com/schemas/2007/subscriptiontypes.cat'
term='channel'/>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://gdata.youtube.com/schemas/2007#subscription'/>
<title type='text'>Videos published by : NBC</title>
<link rel='related' type='application/atom+xml'
href='http://gdata.youtube.com/feeds/users/andyland74'/>
<link rel='alternate' type='text/html'
href='http://www.youtube.com/profile_videos?user=NBC'/>
<link rel='self' type='application/atom+xml'
href='http://gdata.youtube.com/feeds/users/andyland74/subscriptions/d411759045e2ad8c'/>
<author>
<name>andyland74</name>
<uri>http://gdata.youtube.com/feeds/users/andyland74</uri>
</author>
<yt:username>NBC</yt:username>
<gd:feedLink rel='http://gdata.youtube.com/schemas/2007#user.uploads'
href='http://gdata.youtube.com/feeds/api/users/nbc/uploads'/>
</entry>
</feed>"""
YOUTUBE_VIDEO_RESPONSE_FEED = """<?xml version='1.0' encoding='UTF-8'?>
<feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:gml='http://www.opengis.net/gml' xmlns:georss='http://www.georss.org/georss' xmlns:media='http://search.yahoo.com/mrss/' xmlns:yt='http://gdata.youtube.com/schemas/2007' xmlns:gd='http://schemas.google.com/g/2005'>
<id>http://gdata.youtube.com/feeds/videos/2c3q9K4cHzY/responses</id><updated>2008-05-19T22:37:34.076Z</updated><category scheme='http://schemas.google.com/g/2005#kind' term='http://gdata.youtube.com/schemas/2007#video'/><title type='text'>Videos responses to 'Giant NES controller coffee table'</title><logo>http://www.youtube.com/img/pic_youtubelogo_123x63.gif</logo><link rel='related' type='application/atom+xml' href='http://gdata.youtube.com/feeds/videos/2c3q9K4cHzY'/><link rel='alternate' type='text/html' href='http://www.youtube.com/video_response_view_all?v=2c3q9K4cHzY'/><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://gdata.youtube.com/feeds/videos/2c3q9K4cHzY/responses'/><link rel='self' type='application/atom+xml' href='http://gdata.youtube.com/feeds/videos/2c3q9K4cHzY/responses?start-index=1&max-results=25'/><author><name>YouTube</name><uri>http://www.youtube.com/</uri></author><generator version='beta' uri='http://gdata.youtube.com/'>YouTube data API</generator><openSearch:totalResults>8</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage>
<entry>
<id>http://gdata.youtube.com/feeds/videos/7b9EnRI9VbY</id><published>2008-03-11T19:08:53.000-07:00</published><updated>2008-05-18T21:33:10.000-07:00</updated>
<category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='OD'/><category scheme='http://schemas.google.com/g/2005#kind' term='http://gdata.youtube.com/schemas/2007#video'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='chat'/>
<category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='Uncle'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='sex'/>
<category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='catmint'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='kato'/>
<category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='kissa'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='katt'/>
<category scheme='http://gdata.youtube.com/schemas/2007/categories.cat' term='Animals' label='Pets & Animals'/>
<category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='kat'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='cat'/>
<category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='cats'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='kedi'/>
<category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='gato'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='Brattman'/>
<category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='drug'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='overdose'/>
<category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='catnip'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='party'/>
<category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='Katze'/><category scheme='http://gdata.youtube.com/schemas/2007/keywords.cat' term='gatto'/>
<title type='text'>Catnip Party</title><content type='html'>snipped</content>
<link rel='alternate' type='text/html' href='http://www.youtube.com/watch?v=7b9EnRI9VbY'/>
<link rel='http://gdata.youtube.com/schemas/2007#video.responses' type='application/atom+xml' href='http://gdata.youtube.com/feeds/videos/7b9EnRI9VbY/responses'/>
<link rel='http://gdata.youtube.com/schemas/2007#video.related' type='application/atom+xml' href='http://gdata.youtube.com/feeds/videos/7b9EnRI9VbY/related'/>
<link rel='self' type='application/atom+xml' href='http://gdata.youtube.com/feeds/videos/2c3q9K4cHzY/responses/7b9EnRI9VbY'/>
<author><name>PismoBeach</name><uri>http://gdata.youtube.com/feeds/users/pismobeach</uri></author>
<media:group>
<media:title type='plain'>Catnip Party</media:title>
<media:description type='plain'>Uncle, Hillary, Hankette, and B4 all but overdose on the patio</media:description><media:keywords>Brattman, cat, catmint, catnip, cats, chat, drug, gato, gatto, kat, kato, katt, Katze, kedi, kissa, OD, overdose, party, sex, Uncle</media:keywords>
<yt:duration seconds='139'/>
<media:category label='Pets & Animals' scheme='http://gdata.youtube.com/schemas/2007/categories.cat'>Animals</media:category>
<media:content url='http://www.youtube.com/v/7b9EnRI9VbY' type='application/x-shockwave-flash' medium='video' isDefault='true' expression='full' duration='139' yt:format='5'/>
<media:content url='rtsp://rtsp2.youtube.com/ChoLENy73wIaEQm2VT0SnUS_7RMYDSANFEgGDA==/0/0/0/video.3gp' type='video/3gpp' medium='video' expression='full' duration='139' yt:format='1'/>
<media:content url='rtsp://rtsp2.youtube.com/ChoLENy73wIaEQm2VT0SnUS_7RMYESARFEgGDA==/0/0/0/video.3gp' type='video/3gpp' medium='video' expression='full' duration='139' yt:format='6'/>
<media:player url='http://www.youtube.com/watch?v=7b9EnRI9VbY'/>
<media:thumbnail url='http://img.youtube.com/vi/7b9EnRI9VbY/2.jpg' height='97' width='130' time='00:01:09.500'/>
<media:thumbnail url='http://img.youtube.com/vi/7b9EnRI9VbY/1.jpg' height='97' width='130' time='00:00:34.750'/>
<media:thumbnail url='http://img.youtube.com/vi/7b9EnRI9VbY/3.jpg' height='97' width='130' time='00:01:44.250'/>
<media:thumbnail url='http://img.youtube.com/vi/7b9EnRI9VbY/0.jpg' height='240' width='320' time='00:01:09.500'/>
</media:group>
<yt:statistics viewCount='4235' favoriteCount='3'/>
<gd:rating min='1' max='5' numRaters='24' average='3.54'/>
<gd:comments>
<gd:feedLink href='http://gdata.youtube.com/feeds/videos/7b9EnRI9VbY/comments' countHint='14'/>
</gd:comments>
</entry>
</feed>
"""
YOUTUBE_PROFILE = """<?xml version='1.0' encoding='UTF-8'?>
<entry xmlns='http://www.w3.org/2005/Atom'
xmlns:media='http://search.yahoo.com/mrss/'
xmlns:yt='http://gdata.youtube.com/schemas/2007'
xmlns:gd='http://schemas.google.com/g/2005'>
<id>http://gdata.youtube.com/feeds/users/andyland74</id>
<published>2006-10-16T00:09:45.000-07:00</published>
<updated>2008-02-26T11:48:21.000-08:00</updated>
<category scheme='http://gdata.youtube.com/schemas/2007/channeltypes.cat'
term='Standard'/>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://gdata.youtube.com/schemas/2007#userProfile'/>
<title type='text'>andyland74 Channel</title>
<link rel='alternate' type='text/html'
href='http://www.youtube.com/profile?user=andyland74'/>
<link rel='self' type='application/atom+xml'
href='http://gdata.youtube.com/feeds/users/andyland74'/>
<author>
<name>andyland74</name>
<uri>http://gdata.youtube.com/feeds/users/andyland74</uri>
</author>
<yt:age>33</yt:age>
<yt:username>andyland74</yt:username>
<yt:firstName>andy</yt:firstName>
<yt:lastName>example</yt:lastName>
<yt:books>Catch-22</yt:books>
<yt:gender>m</yt:gender>
<yt:company>Google</yt:company>
<yt:hobbies>Testing YouTube APIs</yt:hobbies>
<yt:hometown>Somewhere</yt:hometown>
<yt:location>US</yt:location>
<yt:movies>Aqua Teen Hungerforce</yt:movies>
<yt:music>Elliott Smith</yt:music>
<yt:occupation>Technical Writer</yt:occupation>
<yt:school>University of North Carolina</yt:school>
<media:thumbnail url='http://i.ytimg.com/vi/YFbSxcdOL-w/default.jpg'/>
<yt:statistics viewCount='9' videoWatchCount='21' subscriberCount='1'
lastWebAccess='2008-02-25T16:03:38.000-08:00'/>
<gd:feedLink rel='http://gdata.youtube.com/schemas/2007#user.favorites'
href='http://gdata.youtube.com/feeds/users/andyland74/favorites' countHint='4'/>
<gd:feedLink rel='http://gdata.youtube.com/schemas/2007#user.contacts'
href='http://gdata.youtube.com/feeds/users/andyland74/contacts' countHint='1'/>
<gd:feedLink rel='http://gdata.youtube.com/schemas/2007#user.inbox'
href='http://gdata.youtube.com/feeds/users/andyland74/inbox' countHint='0'/>
<gd:feedLink rel='http://gdata.youtube.com/schemas/2007#user.playlists'
href='http://gdata.youtube.com/feeds/users/andyland74/playlists'/>
<gd:feedLink rel='http://gdata.youtube.com/schemas/2007#user.subscriptions'
href='http://gdata.youtube.com/feeds/users/andyland74/subscriptions' countHint='4'/>
<gd:feedLink rel='http://gdata.youtube.com/schemas/2007#user.uploads'
href='http://gdata.youtube.com/feeds/users/andyland74/uploads' countHint='1'/>
</entry>"""
YOUTUBE_CONTACTS_FEED = """<?xml version='1.0' encoding='UTF-8'?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:yt='http://gdata.youtube.com/schemas/2007' xmlns:gd='http://schemas.google.com/g/2005'>
<id>http://gdata.youtube.com/feeds/users/apitestjhartmann/contacts</id><updated>2008-05-16T19:24:34.916Z</updated><category scheme='http://schemas.google.com/g/2005#kind' term='http://gdata.youtube.com/schemas/2007#friend'/><title type='text'>apitestjhartmann's Contacts</title><logo>http://www.youtube.com/img/pic_youtubelogo_123x63.gif</logo><link rel='alternate' type='text/html' href='http://www.youtube.com/profile_friends?user=apitestjhartmann'/><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/apitestjhartmann/contacts'/><link rel='http://schemas.google.com/g/2005#post' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/apitestjhartmann/contacts'/><link rel='self' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/apitestjhartmann/contacts?start-index=1&max-results=25'/><author><name>apitestjhartmann</name><uri>http://gdata.youtube.com/feeds/users/apitestjhartmann</uri></author><generator version='beta' uri='http://gdata.youtube.com/'>YouTube data API</generator><openSearch:totalResults>2</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage>
<entry>
<id>http://gdata.youtube.com/feeds/users/apitestjhartmann/contacts/test89899090</id><published>2008-02-04T11:27:54.000-08:00</published><updated>2008-05-16T19:24:34.916Z</updated><category scheme='http://schemas.google.com/g/2005#kind' term='http://gdata.youtube.com/schemas/2007#friend'/><title type='text'>test89899090</title><link rel='related' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/test89899090'/><link rel='alternate' type='text/html' href='http://www.youtube.com/profile?user=test89899090'/><link rel='self' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/apitestjhartmann/contacts/test89899090'/><link rel='edit' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/apitestjhartmann/contacts/test89899090'/><author><name>apitestjhartmann</name><uri>http://gdata.youtube.com/feeds/users/apitestjhartmann</uri></author><yt:username>test89899090</yt:username><yt:status>requested</yt:status></entry>
<entry>
<id>http://gdata.youtube.com/feeds/users/apitestjhartmann/contacts/testjfisher</id><published>2008-02-26T14:13:03.000-08:00</published><updated>2008-05-16T19:24:34.916Z</updated><category scheme='http://schemas.google.com/g/2005#kind' term='http://gdata.youtube.com/schemas/2007#friend'/><title type='text'>testjfisher</title><link rel='related' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/testjfisher'/><link rel='alternate' type='text/html' href='http://www.youtube.com/profile?user=testjfisher'/><link rel='self' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/apitestjhartmann/contacts/testjfisher'/><link rel='edit' type='application/atom+xml' href='http://gdata.youtube.com/feeds/users/apitestjhartmann/contacts/testjfisher'/><author><name>apitestjhartmann</name><uri>http://gdata.youtube.com/feeds/users/apitestjhartmann</uri></author><yt:username>testjfisher</yt:username><yt:status>pending</yt:status></entry>
</feed>"""
NEW_CONTACT = """<?xml version='1.0' encoding='UTF-8'?>
<entry xmlns='http://www.w3.org/2005/Atom'
xmlns:gd='http://schemas.google.com/g/2005'
xmlns:gContact='http://schemas.google.com/contact/2008'>
<id>http://www.google.com/m8/feeds/contacts/liz%40gmail.com/base/8411573</id>
<updated>2008-02-28T18:47:02.303Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/contact/2008#contact' />
<title type='text'>Fitzgerald</title>
<content type='text'>Notes</content>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/m8/feeds/contacts/liz%40gmail.com/full/8411573' />
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/m8/feeds/contacts/liz%40gmail.com/full/8411573/1204224422303000' />
<gd:email rel='http://schemas.google.com/g/2005#work'
address='liz@gmail.com' />
<gd:email rel='http://schemas.google.com/g/2005#home'
address='liz@example.org' />
<gd:phoneNumber rel='http://schemas.google.com/g/2005#work'
primary='true'>(206)555-1212</gd:phoneNumber>
<gd:phoneNumber rel='http://schemas.google.com/g/2005#other'
primary='true'>456-123-2133</gd:phoneNumber>
<gd:phoneNumber rel='http://schemas.google.com/g/2005#home'>(206)555-1213</gd:phoneNumber>
<gd:extendedProperty name="pet" value="hamster" />
<gd:extendedProperty name="cousine">
<italian />
</gd:extendedProperty>
<gContact:groupMembershipInfo deleted="false" href="http://google.com/m8/feeds/groups/liz%40gmail.com/base/270f" />
<gd:im address='liz@gmail.com'
protocol='http://schemas.google.com/g/2005#GOOGLE_TALK'
rel='http://schemas.google.com/g/2005#home' />
<gd:postalAddress rel='http://schemas.google.com/g/2005#work'
primary='true'>1600 Amphitheatre Pkwy Mountain View</gd:postalAddress>
</entry>"""
CONTACTS_FEED = """<?xml version='1.0' encoding='UTF-8'?>
<feed xmlns='http://www.w3.org/2005/Atom'
xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/'
xmlns:gd='http://schemas.google.com/g/2005'
xmlns:gContact='http://schemas.google.com/contact/2008'
xmlns:batch='http://schemas.google.com/gdata/batch'>
<id>http://www.google.com/m8/feeds/contacts/liz%40gmail.com/base</id>
<updated>2008-03-05T12:36:38.836Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/contact/2008#contact' />
<title type='text'>Contacts</title>
<link rel='http://schemas.google.com/g/2005#feed'
type='application/atom+xml'
href='http://www.google.com/m8/feeds/contacts/liz%40gmail.com/full' />
<link rel='http://schemas.google.com/g/2005#post'
type='application/atom+xml'
href='http://www.google.com/m8/feeds/contacts/liz%40gmail.com/full' />
<link rel='http://schemas.google.com/g/2005#batch'
type='application/atom+xml'
href='http://www.google.com/m8/feeds/contacts/liz%40gmail.com/full/batch' />
<link rel='self' type='application/atom+xml'
href='http://www.google.com/m8/feeds/contacts/liz%40gmail.com/full?max-results=25' />
<author>
<name>Elizabeth Bennet</name>
<email>liz@gmail.com</email>
</author>
<generator version='1.0' uri='http://www.google.com/m8/feeds/contacts'>
Contacts
</generator>
<openSearch:totalResults>1</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<openSearch:itemsPerPage>25</openSearch:itemsPerPage>
<entry>
<id>
http://www.google.com/m8/feeds/contacts/liz%40gmail.com/base/c9012de
</id>
<updated>2008-03-05T12:36:38.835Z</updated>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/contact/2008#contact' />
<title type='text'>Fitzgerald</title>
<link rel="http://schemas.google.com/contacts/2008/rel#photo" type="image/*"
href="http://google.com/m8/feeds/photos/media/liz%40gmail.com/c9012de"/>
<link rel="http://schemas.google.com/contacts/2008/rel#edit-photo" type="image/*"
href="http://www.google.com/m8/feeds/photos/media/liz%40gmail.com/c9012de/photo4524"/>
<link rel='self' type='application/atom+xml'
href='http://www.google.com/m8/feeds/contacts/liz%40gmail.com/full/c9012de' />
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/m8/feeds/contacts/liz%40gmail.com/full/c9012de/1204720598835000' />
<gd:phoneNumber rel='http://schemas.google.com/g/2005#home'
primary='true'>
456
</gd:phoneNumber>
<gd:extendedProperty name="pet" value="hamster" />
<gContact:groupMembershipInfo deleted="false" href="http://google.com/m8/feeds/groups/liz%40gmail.com/base/270f" />
</entry>
</feed>"""
CONTACT_GROUPS_FEED = """<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom"
xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/"
xmlns:gContact="http://schemas.google.com/contact/2008"
xmlns:batch="http://schemas.google.com/gdata/batch"
xmlns:gd="http://schemas.google.com/g/2005">
<id>jo@gmail.com</id>
<updated>2008-05-21T21:11:25.237Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/contact/2008#group"/>
<title type="text">Jo's Contact Groups</title>
<link rel="alternate" type="text/html" href="http://www.google.com/"/>
<link rel="http://schemas.google.com/g/2005#feed"
type="application/atom+xml"
href="http://google.m/m8/feeds/groups/jo%40gmail.com/thin"/>
<link rel="http://schemas.google.com/g/2005#post"
type="application/atom+xml"
href="http://google.m/m8/feeds/groups/jo%40gmail.com/thin"/>
<link rel="http://schemas.google.com/g/2005#batch"
type="application/atom+xml"
href="http://googleom/m8/feeds/groups/jo%40gmail.com/thin/batch"/>
<link rel="self"
type="application/atom+xml"
href="http://google.com/m8/feeds/groups/jo%40gmail.com/thin?max-results=25"/>
<author>
<name>Jo Brown</name>
<email>jo@gmail.com</email>
</author>
<generator version="1.0" uri="http://google.com/m8/feeds">Contacts</generator>
<openSearch:totalResults>3</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<openSearch:itemsPerPage>25</openSearch:itemsPerPage>
<entry>
<id>http://google.com/m8/feeds/groups/jo%40gmail.com/base/270f</id>
<updated>2008-05-14T13:10:19.070Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/contact/2008#group"/>
<title type="text">joggers</title>
<content type="text">joggers</content>
<link rel="self" type="application/atom+xml"
href="http://google.com/m8/feeds/groups/jo%40gmail.com/thin/270f"/>
<link rel="edit" type="application/atom+xml"
href="http://google.com/m8/feeds/groups/jo%40gmail.com/thin/270f/1210770619070000"/>
</entry>
</feed>"""
CONTACT_GROUP_ENTRY = """<?xml version="1.0" encoding="UTF-8"?>
<entry xmlns='http://www.w3.org/2005/Atom'
xmlns:gd="http://schemas.google.com/g/2005">
<category scheme="http://schemas.google.com/g/2005#kind"
term="http://schemas.google.com/g/2005#group"/>
<id>http://www.google.com/feeds/groups/jo%40gmail.com/base/1234</id>
<published>2005-01-18T21:00:00Z</published>
<updated>2006-01-01T00:00:00Z</updated>
<title type="text">Salsa group</title>
<content type="text">Salsa group</content>
<link rel='self' type='application/atom+xml'
href= 'http://www.google.com/m8/feeds/groups/jo%40gmail.com/full/2' />
<link rel='edit' type='application/atom+xml'
href='http://www.google.com/m8/feeds/groups/jo%40gmail.com/full/2/0'/>
<gd:extendedProperty name="more info about the group">
<info>Very nice people.</info>
</gd:extendedProperty>
</entry>"""
CALENDAR_RESOURCE_ENTRY = """<?xml version="1.0"?>
<atom:entry xmlns:atom="http://www.w3.org/2005/Atom" xmlns:apps="http://schemas.google.com/apps/2006">
<apps:property name="resourceId" value="CR-NYC-14-12-BR"/>
<apps:property name="resourceCommonName" value="Boardroom"/>
<apps:property name="resourceDescription" value="This conference room is in New York City, building 14, floor 12, Boardroom"/>
<apps:property name="resourceType" value="CR"/>
</atom:entry>"""
CALENDAR_RESOURCES_FEED = """<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/" xmlns:apps="http://schemas.google.com/apps/2006">
<id>https://apps-apis.google.com/a/feeds/calendar/resource/2.0/yourdomain.com</id>
<updated>2008-10-17T15:29:21.064Z</updated>
<link rel="next" type="application/atom+xml" href="https://apps-apis.google.com/a/feeds/calendar/resource/2.0/yourdomain.com/?start=the next resourceId"/>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="https://apps-apis.google.com/a/feeds/calendar/resource/2.0/yourdomain.com"/>
<link rel="http://schemas.google.com/g/2005#post" type="application/atom+xml" href="https://apps-apis.google.com/a/feeds/calendar/resource/2.0/yourdomain.com"/>
<link rel="self" type="application/atom+xml" href="https://apps-apis.google.com/a/feeds/calendar/resource/2.0/yourdomain.com?start=CR-NYC-14-12-BR"/>
<openSearch:startIndex>1</openSearch:startIndex>
<entry>
<id>https://apps-apis.google.com/a/feeds/calendar/resource/2.0/yourdomain.com/CR-NYC-14-12-BR</id>
<updated>2008-10-17T15:29:21.064Z</updated>
<link rel="self" type="application/atom+xml" href="https://apps-apis.google.com/a/feeds/calendar/resource/2.0/yourdomain.com/CR-NYC-14-12-BR"/>
<link rel="edit" type="application/atom+xml" href="https://apps-apis.google.com/feeds/calendar/resource/2.0/yourdomain.com/CR-NYC-14-12-BR"/>
<apps:property name="resourceId" value="CR-NYC-14-12-BR"/>
<apps:property name="resourceCommonName" value="Boardroom"/>
<apps:property name="resourceEmail" value="domain_123456@resource.calendar.google.com"/>
<apps:property name="resourceDescription" value="This conference room is in New York City, building 14, floor 12, Boardroom"/>
<apps:property name="resourceType" value="CR"/>
</entry>
<entry>
<id>https://apps-apis.google.com/a/feeds/calendar/resource/2.0/yourdomain.com/?start=(Bike)-London-43-Lobby-Bike-1</id>
<updated>2008-10-17T15:29:21.064Z</updated>
<link rel="self" type="application/atom+xml" href="https://apps-apis.google.com/a/feeds/calendar/resource/2.0/yourdomain.com/(Bike)-London-43-Lobby-Bike-1"/>
<link rel="edit" type="application/atom+xml" href="https://apps-apis.google.com/a/feeds/calendar/resource/2.0/yourdomain.com/(Bike)-London-43-Lobby-Bike-1"/>
<apps:property name="resourceId" value="(Bike)-London-43-Lobby-Bike-1"/>
<apps:property name="resourceCommonName" value="London bike-1"/>
<apps:property name="resourceEmail" value="domain_123457@resource.calendar.google.com"/>
<apps:property name="resourceDescription" value="Bike is in London at building 43's lobby."/>
<apps:property name="resourceType" value="(Bike)"/>
</entry>
</feed>"""
BLOG_ENTRY = """<entry xmlns='http://www.w3.org/2005/Atom'>
<id>tag:blogger.com,1999:blog-blogID.post-postID</id>
<published>2006-08-02T18:44:43.089-07:00</published>
<updated>2006-11-08T18:10:23.020-08:00</updated>
<title type='text'>Lizzy's Diary</title>
<summary type='html'>Being the journal of Elizabeth Bennet</summary>
<link rel='alternate' type='text/html'
href='http://blogName.blogspot.com/'>
</link>
<link rel='http://schemas.google.com/g/2005#feed'
type='application/atom+xml'
href='http://blogName.blogspot.com/feeds/posts/default'>
</link>
<link rel='http://schemas.google.com/g/2005#post'
type='application/atom+xml'
href='http://www.blogger.com/feeds/blogID/posts/default'>
</link>
<link rel='self' type='application/atom+xml'
href='http://www.blogger.com/feeds/userID/blogs/blogID'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.blogger.com/feeds/userID/blogs/blogID'>
</link>
<author>
<name>Elizabeth Bennet</name>
<email>liz@gmail.com</email>
</author>
</entry>"""
BLOG_POST = """<entry xmlns='http://www.w3.org/2005/Atom'>
<title type='text'>Marriage!</title>
<content type='xhtml'>
<div xmlns="http://www.w3.org/1999/xhtml">
<p>Mr. Darcy has <em>proposed marriage</em> to me!</p>
<p>He is the last man on earth I would ever desire to marry.</p>
<p>Whatever shall I do?</p>
</div>
</content>
<author>
<name>Elizabeth Bennet</name>
<email>liz@gmail.com</email>
</author>
</entry>"""
BLOG_POSTS_FEED = """<feed xmlns='http://www.w3.org/2005/Atom'>
<id>tag:blogger.com,1999:blog-blogID</id>
<updated>2006-11-08T18:10:23.020-08:00</updated>
<title type='text'>Lizzy's Diary</title>
<link rel='alternate' type='text/html'
href='http://blogName.blogspot.com/index.html'>
</link>
<link rel='http://schemas.google.com/g/2005#feed'
type='application/atom+xml'
href='http://blogName.blogspot.com/feeds/posts/default'>
</link>
<link rel='self' type='application/atom+xml'
href='http://blogName.blogspot.com/feeds/posts/default'>
</link>
<author>
<name>Elizabeth Bennet</name>
<email>liz@gmail.com</email>
</author>
<generator version='7.00' uri='http://www2.blogger.com'>Blogger</generator>
<entry>
<id>tag:blogger.com,1999:blog-blogID.post-postID</id>
<published>2006-11-08T18:10:00.000-08:00</published>
<updated>2006-11-08T18:10:14.954-08:00</updated>
<title type='text'>Quite disagreeable</title>
<content type='html'><p>I met Mr. Bingley's friend Mr. Darcy
this evening. I found him quite disagreeable.</p></content>
<link rel='alternate' type='text/html'
href='http://blogName.blogspot.com/2006/11/quite-disagreeable.html'>
</link>
<link rel='self' type='application/atom+xml'
href='http://blogName.blogspot.com/feeds/posts/default/postID'>
</link>
<link rel='edit' type='application/atom+xml'
href='http://www.blogger.com/feeds/blogID/posts/default/postID'>
</link>
<author>
<name>Elizabeth Bennet</name>
<email>liz@gmail.com</email>
</author>
</entry>
</feed>"""
BLOG_COMMENTS_FEED = """<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/">
<id>tag:blogger.com,1999:blog-blogID.postpostID..comments</id>
<updated>2007-04-04T21:56:29.803-07:00</updated>
<title type="text">My Blog : Time to relax</title>
<link rel="alternate" type="text/html" href="http://blogName.blogspot.com/2007/04/first-post.html"/>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="http://blogName.blogspot.com/feeds/postID/comments/default"/>
<link rel="self" type="application/atom+xml" href="http://blogName.blogspot.com/feeds/postID/comments/default"/>
<author>
<name>Blog Author name</name>
</author>
<generator version="7.00" uri="http://www2.blogger.com">Blogger</generator>
<openSearch:totalResults>1</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<entry>
<id>tag:blogger.com,1999:blog-blogID.post-commentID</id>
<published>2007-04-04T21:56:00.000-07:00</published>
<updated>2007-04-04T21:56:29.803-07:00</updated>
<title type="text">This is my first comment</title>
<content type="html">This is my first comment</content>
<link rel="alternate" type="text/html" href="http://blogName.blogspot.com/2007/04/first-post.html#commentID"/>
<link rel="self" type="application/atom+xml" href="http://blogName.blogspot.com/feeds/postID/comments/default/commentID"/>
<link rel="edit" type="application/atom+xml" href="http://www.blogger.com/feeds/blogID/postID/comments/default/commentID"/>
<author>
<name>Blog Author name</name>
</author>
<thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0'
href='http://blogName.blogspot.com/2007/04/first-post.html'
ref='tag:blogger.com,1999:blog-blogID.post-postID'
source='http://blogName.blogspot.com/feeds/posts/default/postID'
type='text/html' />
</entry>
</feed>"""
SITES_FEED = """<feed xmlns="http://www.w3.org/2005/Atom"
xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/"
xmlns:gd="http://schemas.google.com/g/2005"
xmlns:wt="http://schemas.google.com/webmasters/tools/2007">
<id>https://www.google.com/webmasters/tools/feeds/sites</id>
<title>Sites</title>
<openSearch:startIndex>1</openSearch:startIndex>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/webmasters/tools/2007#sites-feed" />
<link href="http://www.google.com/webmasters/tools/feeds/sites" rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" />
<link href="http://www.google.com/webmasters/tools/feeds/sites" rel="http://schemas.google.com/g/2005#post" type="application/atom+xml" />
<link href="http://www.google.com/webmasters/tools/feeds/sites" rel="self" type="application/atom+xml" />
<updated>2008-10-02T07:26:51.833Z</updated>
<entry>
<id>http://www.example.com</id>
<title type="text">http://www.example.com</title>
<link href="http://www.google.com/webmasters/tools/feeds/sites/http%3A%2F%2Fwww.example.com%2F" rel="self" type="application/atom+xml"/>
<link href="http://www.google.com/webmasters/tools/feeds/sites/http%3A%2F%2Fwww.example.com%2F" rel="edit" type="application/atom+xml"/>
<content src="http://www.example.com"/>
<updated>2007-11-17T18:27:32.543Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/webmasters/tools/2007#site-info"/>
<gd:entryLink rel="http://schemas.google.com/webmasters/tools/2007#verification"
href="https://www.google.com/webmasters/tools/feeds/http%3A%2F%2Fwww%2Eexample%2Ecom%2F/verification" />
<gd:entryLink rel="http://schemas.google.com/webmasters/tools/2007#sitemaps"
href="https://www.google.com/webmasters/tools/feeds/http%3A%2F%2Fwww%2Eexample%2Ecom%2F/sitemaps" />
<wt:indexed>true</wt:indexed>
<wt:crawled>2008-09-14T08:59:28.000</wt:crawled>
<wt:geolocation>US</wt:geolocation>
<wt:preferred-domain>none</wt:preferred-domain>
<wt:crawl-rate>normal</wt:crawl-rate>
<wt:enhanced-image-search>true</wt:enhanced-image-search>
<wt:verified>false</wt:verified>
<wt:verification-method type="metatag" in-use="false"><meta name="verify-v1" content="a2Ai"/>
</wt:verification-method>
<wt:verification-method type="htmlpage" in-use="false">456456-google.html</wt:verification-method>
</entry>
</feed>"""
SITEMAPS_FEED = """<feed xmlns="http://www.w3.org/2005/Atom"
xmlns:wt="http://schemas.google.com/webmasters/tools/2007">
<id>http://www.example.com</id>
<title type="text">http://www.example.com/</title>
<updated>2006-11-17T18:27:32.543Z</updated>
<link rel="self" type="application/atom+xml"
href="https://www.google.com/webmasters/tools/feeds/http%3A%2F%2Fwww%2Eexample%2Ecom%2F/sitemaps" />
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/webmasters/tools/2007#sitemaps-feed'/>
<wt:sitemap-mobile>
<wt:markup-language>HTML</wt:markup-language>
<wt:markup-language>WAP</wt:markup-language>
</wt:sitemap-mobile>
<wt:sitemap-news>
<wt:publication-label>Value1</wt:publication-label>
<wt:publication-label>Value2</wt:publication-label>
<wt:publication-label>Value3</wt:publication-label>
</wt:sitemap-news>
<entry>
<id>http://www.example.com/sitemap-index.xml</id>
<title type="text">http://www.example.com/sitemap-index.xml</title>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/webmasters/tools/2007#sitemap-regular'/>
<updated>2006-11-17T18:27:32.543Z</updated>
<wt:sitemap-type>WEB</wt:sitemap-type>
<wt:sitemap-status>StatusValue</wt:sitemap-status>
<wt:sitemap-last-downloaded>2006-11-18T19:27:32.543Z</wt:sitemap-last-downloaded>
<wt:sitemap-url-count>102</wt:sitemap-url-count>
</entry>
<entry>
<id>http://www.example.com/mobile/sitemap-index.xml</id>
<title type="text">http://www.example.com/mobile/sitemap-index.xml</title>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/webmasters/tools/2007#sitemap-mobile'/>
<updated>2006-11-17T18:27:32.543Z</updated>
<wt:sitemap-status>StatusValue</wt:sitemap-status>
<wt:sitemap-last-downloaded>2006-11-18T19:27:32.543Z</wt:sitemap-last-downloaded>
<wt:sitemap-url-count>102</wt:sitemap-url-count>
<wt:sitemap-mobile-markup-language>HTML</wt:sitemap-mobile-markup-language>
</entry>
<entry>
<id>http://www.example.com/news/sitemap-index.xml</id>
<title type="text">http://www.example.com/news/sitemap-index.xml</title>
<category scheme='http://schemas.google.com/g/2005#kind'
term='http://schemas.google.com/webmasters/tools/2007#sitemap-news'/>
<updated>2006-11-17T18:27:32.543Z</updated>
<wt:sitemap-status>StatusValue</wt:sitemap-status>
<wt:sitemap-last-downloaded>2006-11-18T19:27:32.543Z</wt:sitemap-last-downloaded>
<wt:sitemap-url-count>102</wt:sitemap-url-count>
<wt:sitemap-news-publication-label>LabelValue</wt:sitemap-news-publication-label>
</entry>
</feed>"""
HEALTH_CCR_NOTICE_PAYLOAD = """<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<Body>
<Problems>
<Problem>
<DateTime>
<Type><Text>Start date</Text></Type>
<ExactDateTime>2007-04-04T07:00:00Z</ExactDateTime>
</DateTime>
<Description>
<Text>Aortic valve disorders</Text>
<Code>
<Value>410.10</Value>
<CodingSystem>ICD9</CodingSystem>
<Version>2004</Version>
</Code>
</Description>
<Status><Text>Active</Text></Status>
</Problem>
</Problems>
</Body>
</ContinuityOfCareRecord>"""
HEALTH_PROFILE_ENTRY_DIGEST = """<?xml version="1.0" encoding="UTF-8"?>
<entry xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/" xmlns:ccr="urn:astm-org:CCR" xmlns:batch="http://schemas.google.com/gdata/batch" xmlns:h9m="http://schemas.google.com/health/metadata">
<id>https://www.google.com/health/feeds/profile/default/vneCn5qdEIY_digest</id>
<updated>2008-09-29T07:52:17.176Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile" />
<link rel="alternate" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default?digest=true" />
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/vneCn5qdEIY_digest" />
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/vneCn5qdEIY_digest" />
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>vneCn5qdEIY</CCRDocumentObjectID>
<Language>
<Text>English</Text>
<Code>
<Value>en</Value>
<CodingSystem>ISO-639-1</CodingSystem>
</Code>
</Language>
<Version>V1.0</Version>
<DateTime>
<ExactDateTime>2008-09-29T07:52:17.176Z</ExactDateTime>
</DateTime>
<Patient>
<ActorID>Google Health Profile</ActorID>
</Patient>
<Body>
<FunctionalStatus>
<Function>
<Type>
<Text>Pregnancy status</Text>
</Type>
<Description>
<Text>Not pregnant</Text>
</Description>
<Status />
<Source>
<Actor>
<ActorID>user@google.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
</Function>
<Function>
<Type>
<Text>Breastfeeding status</Text>
</Type>
<Description>
<Text>Not breastfeeding</Text>
</Description>
<Status />
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
</Function>
</FunctionalStatus>
<Problems>
<Problem>
<CCRDataObjectID>Hn0FE0IlcY-FMFFgSTxkvA/CONDITION/0</CCRDataObjectID>
<DateTime>
<Type>
<Text>Start date</Text>
</Type>
<ExactDateTime>2007-04-04T07:00:00Z</ExactDateTime>
</DateTime>
<Description>
<Text>Aortic valve disorders</Text>
<Code>
<Value>410.10</Value>
<CodingSystem>ICD9</CodingSystem>
<Version>2004</Version>
</Code>
</Description>
<Status>
<Text>Active</Text>
</Status>
<Source>
<Actor>
<ActorID>example.com</ActorID>
<ActorRole>
<Text>Information Provider</Text>
</ActorRole>
</Actor>
</Source>
</Problem>
<Problem>
<Type />
<Description>
<Text>Malaria</Text>
<Code>
<Value>136.9</Value>
<CodingSystem>ICD9_Broader</CodingSystem>
</Code>
<Code>
<Value>084.6</Value>
<CodingSystem>ICD9</CodingSystem>
</Code>
</Description>
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<HealthStatus>
<Description />
</HealthStatus>
</Problem>
</Problems>
<SocialHistory>
<SocialHistoryElement>
<Type>
<Text>Race</Text>
<Code>
<Value>S15814</Value>
<CodingSystem>HL7</CodingSystem>
</Code>
</Type>
<Description>
<Text>White</Text>
</Description>
<Status />
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Episodes>
<Frequency>
<Units />
</Frequency>
</Episodes>
</SocialHistoryElement>
</SocialHistory>
<Alerts>
<Alert>
<Type>
<Text>Allergy</Text>
</Type>
<Description>
<Text>A-Fil</Text>
</Description>
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Reaction>
<Description />
<Severity>
<Text>Severe</Text>
</Severity>
</Reaction>
</Alert>
<Alert>
<Type>
<Text>Allergy</Text>
</Type>
<Description>
<Text>A.E.R Traveler</Text>
</Description>
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Reaction>
<Description />
<Severity>
<Text>Severe</Text>
</Severity>
</Reaction>
</Alert>
</Alerts>
<Medications>
<Medication>
<Type />
<Description />
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Product>
<ProductName>
<Text>A& D</Text>
</ProductName>
<Strength>
<Units />
<StrengthSequencePosition>0</StrengthSequencePosition>
<VariableStrengthModifier />
</Strength>
</Product>
<Directions>
<Direction>
<Description />
<DeliveryMethod />
<Dose>
<Units />
<DoseSequencePosition>0</DoseSequencePosition>
<VariableDoseModifier />
</Dose>
<Route>
<Text>To skin</Text>
<Code>
<Value>C38305</Value>
<CodingSystem>FDA</CodingSystem>
</Code>
<RouteSequencePosition>0</RouteSequencePosition>
<MultipleRouteModifier />
</Route>
</Direction>
</Directions>
<Refills />
</Medication>
<Medication>
<Type />
<Description />
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Product>
<ProductName>
<Text>A-Fil</Text>
</ProductName>
<Strength>
<Units />
<StrengthSequencePosition>0</StrengthSequencePosition>
<VariableStrengthModifier />
</Strength>
</Product>
<Directions>
<Direction>
<Description />
<DeliveryMethod />
<Dose>
<Units />
<DoseSequencePosition>0</DoseSequencePosition>
<VariableDoseModifier />
</Dose>
<Route>
<Text>To skin</Text>
<Code>
<Value>C38305</Value>
<CodingSystem>FDA</CodingSystem>
</Code>
<RouteSequencePosition>0</RouteSequencePosition>
<MultipleRouteModifier />
</Route>
</Direction>
</Directions>
<Refills />
</Medication>
<Medication>
<Type />
<Description />
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Product>
<ProductName>
<Text>Lipitor</Text>
</ProductName>
<Strength>
<Units />
<StrengthSequencePosition>0</StrengthSequencePosition>
<VariableStrengthModifier />
</Strength>
</Product>
<Directions>
<Direction>
<Description />
<DeliveryMethod />
<Dose>
<Units />
<DoseSequencePosition>0</DoseSequencePosition>
<VariableDoseModifier />
</Dose>
<Route>
<Text>By mouth</Text>
<Code>
<Value>C38288</Value>
<CodingSystem>FDA</CodingSystem>
</Code>
<RouteSequencePosition>0</RouteSequencePosition>
<MultipleRouteModifier />
</Route>
</Direction>
</Directions>
<Refills />
</Medication>
</Medications>
<Immunizations>
<Immunization>
<Type />
<Description />
<Status />
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Product>
<ProductName>
<Text>Chickenpox Vaccine</Text>
<Code>
<Value>21</Value>
<CodingSystem>HL7</CodingSystem>
</Code>
</ProductName>
</Product>
<Directions>
<Direction>
<Description />
<DeliveryMethod />
</Direction>
</Directions>
<Refills />
</Immunization>
</Immunizations>
<VitalSigns>
<Result>
<Type />
<Description />
<Status />
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Substance />
<Test>
<Type />
<Description>
<Text>Height</Text>
</Description>
<Status />
<TestResult>
<ResultSequencePosition>0</ResultSequencePosition>
<VariableResultModifier />
<Value>70</Value>
<Units>
<Unit>inches</Unit>
</Units>
</TestResult>
<ConfidenceValue />
</Test>
</Result>
<Result>
<Type />
<Description />
<Status />
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Substance />
<Test>
<Type />
<Description>
<Text>Weight</Text>
</Description>
<Status />
<TestResult>
<ResultSequencePosition>0</ResultSequencePosition>
<VariableResultModifier />
<Value>2480</Value>
<Units>
<Unit>ounces</Unit>
</Units>
</TestResult>
<ConfidenceValue />
</Test>
</Result>
<Result>
<Type />
<Description />
<Status />
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Substance />
<Test>
<Type />
<Description>
<Text>Blood Type</Text>
</Description>
<Status />
<TestResult>
<ResultSequencePosition>0</ResultSequencePosition>
<VariableResultModifier />
<Value>O+</Value>
<Units />
</TestResult>
<ConfidenceValue />
</Test>
</Result>
</VitalSigns>
<Results>
<Result>
<Type />
<Description />
<Status />
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Substance />
<Test>
<DateTime>
<Type>
<Text>Collection start date</Text>
</Type>
<ExactDateTime>2008-09-03</ExactDateTime>
</DateTime>
<Type />
<Description>
<Text>Acetaldehyde - Blood</Text>
</Description>
<Status />
<TestResult>
<ResultSequencePosition>0</ResultSequencePosition>
<VariableResultModifier />
<Units />
</TestResult>
<ConfidenceValue />
</Test>
</Result>
</Results>
<Procedures>
<Procedure>
<Type />
<Description>
<Text>Abdominal Ultrasound</Text>
</Description>
<Status />
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
</Procedure>
<Procedure>
<Type />
<Description>
<Text>Abdominoplasty</Text>
</Description>
<Status />
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
</Procedure>
</Procedures>
</Body>
<Actors>
<Actor>
<ActorObjectID>Google Health Profile</ActorObjectID>
<Person>
<Name>
<BirthName />
<CurrentName />
</Name>
<DateOfBirth>
<Type />
<ExactDateTime>1984-07-22</ExactDateTime>
</DateOfBirth>
<Gender>
<Text>Male</Text>
</Gender>
</Person>
<Status />
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
</Actor>
</Actors>
</ContinuityOfCareRecord>
</entry>"""
HEALTH_PROFILE_FEED = """<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearchrss/1.0/"
xmlns:ccr="urn:astm-org:CCR" xmlns:batch="http://schemas.google.com/gdata/batch" xmlns:h9m="http://schemas.google.com/health/metadata">
<id>https://www.google.com/health/feeds/profile/default</id>
<updated>2008-09-30T01:07:17.888Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<title type="text">Profile Feed</title>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default"/>
<link rel="http://schemas.google.com/g/2005#post" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default"/>
<link rel="http://schemas.google.com/g/2005#batch" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/batch"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default?digest=false"/>
<openSearch:startIndex>1</openSearch:startIndex>
<entry>
<id>https://www.google.com/health/feeds/profile/default/DysasdfARnFAao</id>
<published>2008-09-29T03:12:50.850Z</published>
<updated>2008-09-29T03:12:50.850Z</updated>
<category term="MEDICATION"/>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category scheme="http://schemas.google.com/health/item" term="A& D"/>
<title type="text"/>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/MEDICATION/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DA%26+D"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/DysasdfARnFAao"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/DysasdfARnFAao"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>hiD9sEigSzdk8nNT0evR4g</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<Medications>
<Medication>
<Type/>
<Description/>
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Product>
<ProductName>
<Text>A& D</Text>
</ProductName>
<Strength>
<Units/>
<StrengthSequencePosition>0</StrengthSequencePosition>
<VariableStrengthModifier/>
</Strength>
</Product>
<Directions>
<Direction>
<Description/>
<DeliveryMethod/>
<Dose>
<Units/>
<DoseSequencePosition>0</DoseSequencePosition>
<VariableDoseModifier/>
</Dose>
<Route>
<Text>To skin</Text>
<Code>
<Value>C38305</Value>
<CodingSystem>FDA</CodingSystem>
</Code>
<RouteSequencePosition>0</RouteSequencePosition>
<MultipleRouteModifier/>
</Route>
</Direction>
</Directions>
<Refills/>
</Medication>
</Medications>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/7I1WQzZrgp4</id>
<published>2008-09-29T03:27:14.909Z</published>
<updated>2008-09-29T03:27:14.909Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category scheme="http://schemas.google.com/health/item" term="A-Fil"/>
<category term="ALLERGY"/>
<title type="text"/>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DA-Fil/ALLERGY"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/7I1WQzZrgp4"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/7I1WQzZrgp4"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>YOyHDxQUiECCPgnsjV8SlQ</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<Alerts>
<Alert>
<Type>
<Text>Allergy</Text>
</Type>
<Description>
<Text>A-Fil</Text>
</Description>
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Reaction>
<Description/>
<Severity>
<Text>Severe</Text>
</Severity>
</Reaction>
</Alert>
</Alerts>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/Dz9wV83sKFg</id>
<published>2008-09-29T03:12:52.166Z</published>
<updated>2008-09-29T03:12:52.167Z</updated>
<category term="MEDICATION"/>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category scheme="http://schemas.google.com/health/item" term="A-Fil"/>
<title type="text"/>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/MEDICATION/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DA-Fil"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/Dz9wV83sKFg"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/Dz9wV83sKFg"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>7w.XFEPeuIYN3Rn32pUiUw</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<Medications>
<Medication>
<Type/>
<Description/>
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Product>
<ProductName>
<Text>A-Fil</Text>
</ProductName>
<Strength>
<Units/>
<StrengthSequencePosition>0</StrengthSequencePosition>
<VariableStrengthModifier/>
</Strength>
</Product>
<Directions>
<Direction>
<Description/>
<DeliveryMethod/>
<Dose>
<Units/>
<DoseSequencePosition>0</DoseSequencePosition>
<VariableDoseModifier/>
</Dose>
<Route>
<Text>To skin</Text>
<Code>
<Value>C38305</Value>
<CodingSystem>FDA</CodingSystem>
</Code>
<RouteSequencePosition>0</RouteSequencePosition>
<MultipleRouteModifier/>
</Route>
</Direction>
</Directions>
<Refills/>
</Medication>
</Medications>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/lzsxVzqZUyw</id>
<published>2008-09-29T03:13:07.496Z</published>
<updated>2008-09-29T03:13:07.497Z</updated>
<category scheme="http://schemas.google.com/health/item" term="A.E.R Traveler"/>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category term="ALLERGY"/>
<title type="text"/>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DA.E.R+Traveler/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/ALLERGY"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/lzsxVzqZUyw"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/lzsxVzqZUyw"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>5efFB0J2WgEHNUvk2z3A1A</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<Alerts>
<Alert>
<Type>
<Text>Allergy</Text>
</Type>
<Description>
<Text>A.E.R Traveler</Text>
</Description>
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Reaction>
<Description/>
<Severity>
<Text>Severe</Text>
</Severity>
</Reaction>
</Alert>
</Alerts>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/6PvhfKAXyYw</id>
<published>2008-09-29T03:13:02.123Z</published>
<updated>2008-09-29T03:13:02.124Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category term="PROCEDURE"/>
<category scheme="http://schemas.google.com/health/item" term="Abdominal Ultrasound"/>
<title type="text"/>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/PROCEDURE/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DAbdominal+Ultrasound"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/6PvhfKAXyYw"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/6PvhfKAXyYw"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>W3Wbvx_QHwG5pxVchpuF1A</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<Procedures>
<Procedure>
<Type/>
<Description>
<Text>Abdominal Ultrasound</Text>
</Description>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
</Procedure>
</Procedures>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/r2zGPGewCeU</id>
<published>2008-09-29T03:13:03.434Z</published>
<updated>2008-09-29T03:13:03.435Z</updated>
<category scheme="http://schemas.google.com/health/item" term="Abdominoplasty"/>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category term="PROCEDURE"/>
<title type="text"/>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DAbdominoplasty/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/PROCEDURE"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/r2zGPGewCeU"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/r2zGPGewCeU"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>OUKgj5X0KMnbkC5sDL.yHA</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<Procedures>
<Procedure>
<Type/>
<Description>
<Text>Abdominoplasty</Text>
</Description>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
</Procedure>
</Procedures>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/_cCCbQ0O3ug</id>
<published>2008-09-29T03:13:29.041Z</published>
<updated>2008-09-29T03:13:29.042Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category scheme="http://schemas.google.com/health/item" term="Acetaldehyde - Blood"/>
<category term="LABTEST"/>
<title type="text"/>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DAcetaldehyde+-+Blood/LABTEST"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/_cCCbQ0O3ug"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/_cCCbQ0O3ug"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>YWtomFb8aG.DueZ7z7fyug</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<Results>
<Result>
<Type/>
<Description/>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Substance/>
<Test>
<DateTime>
<Type>
<Text>Collection start date</Text>
</Type>
<ExactDateTime>2008-09-03</ExactDateTime>
</DateTime>
<Type/>
<Description>
<Text>Acetaldehyde - Blood</Text>
</Description>
<Status/>
<TestResult>
<ResultSequencePosition>0</ResultSequencePosition>
<VariableResultModifier/>
<Units/>
</TestResult>
<ConfidenceValue/>
</Test>
</Result>
</Results>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/BdyA3iJZyCc</id>
<published>2008-09-29T03:00:45.915Z</published>
<updated>2008-09-29T03:00:45.915Z</updated>
<category scheme="http://schemas.google.com/health/item" term="Aortic valve disorders"/>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category term="CONDITION"/>
<title type="text">Aortic valve disorders</title>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DAortic+valve+disorders/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/CONDITION"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/BdyA3iJZyCc"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/BdyA3iJZyCc"/>
<author>
<name>example.com</name>
<uri>example.com</uri>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>h1ljpoeKJ85li.1FHsG9Gw</CCRDocumentObjectID>
<Body>
<Problems>
<Problem>
<CCRDataObjectID>Hn0FE0IlcY-FMFFgSTxkvA/CONDITION/0</CCRDataObjectID>
<DateTime>
<Type>
<Text>Start date</Text>
</Type>
<ExactDateTime>2007-04-04T07:00:00Z</ExactDateTime>
</DateTime>
<Description>
<Text>Aortic valve disorders</Text>
<Code>
<Value>410.10</Value>
<CodingSystem>ICD9</CodingSystem>
<Version>2004</Version>
</Code>
</Description>
<Status>
<Text>Active</Text>
</Status>
<Source>
<Actor>
<ActorID>example.com</ActorID>
<ActorRole>
<Text>Information Provider</Text>
</ActorRole>
</Actor>
</Source>
</Problem>
</Problems>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/Cl.aMWIH5VA</id>
<published>2008-09-29T03:13:34.996Z</published>
<updated>2008-09-29T03:13:34.997Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category scheme="http://schemas.google.com/health/item" term="Chickenpox Vaccine"/>
<category term="IMMUNIZATION"/>
<title type="text"/>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DChickenpox+Vaccine/IMMUNIZATION"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/Cl.aMWIH5VA"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/Cl.aMWIH5VA"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>KlhUqfftgELIitpKbqYalw</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<Immunizations>
<Immunization>
<Type/>
<Description/>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Product>
<ProductName>
<Text>Chickenpox Vaccine</Text>
<Code>
<Value>21</Value>
<CodingSystem>HL7</CodingSystem>
</Code>
</ProductName>
</Product>
<Directions>
<Direction>
<Description/>
<DeliveryMethod/>
</Direction>
</Directions>
<Refills/>
</Immunization>
</Immunizations>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/l0a7.FlX3_0</id>
<published>2008-09-29T03:14:47.461Z</published>
<updated>2008-09-29T03:14:47.461Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category term="DEMOGRAPHICS"/>
<category scheme="http://schemas.google.com/health/item" term="Demographics"/>
<title type="text">Demographics</title>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/DEMOGRAPHICS/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DDemographics"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/l0a7.FlX3_0"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/l0a7.FlX3_0"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>U5GDAVOxFbexQw3iyvqPYg</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body/>
<Actors>
<Actor>
<Person>
<Name>
<BirthName/>
<CurrentName/>
</Name>
<DateOfBirth>
<Type/>
<ExactDateTime>1984-07-22</ExactDateTime>
</DateOfBirth>
<Gender>
<Text>Male</Text>
</Gender>
</Person>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
</Actor>
</Actors>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/oIBDdgwFLyo</id>
<published>2008-09-29T03:14:47.690Z</published>
<updated>2008-09-29T03:14:47.691Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category term="DEMOGRAPHICS"/>
<category scheme="http://schemas.google.com/health/item" term="FunctionalStatus"/>
<title type="text">FunctionalStatus</title>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/DEMOGRAPHICS/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DFunctionalStatus"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/oIBDdgwFLyo"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/oIBDdgwFLyo"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>W.EJcnhxb7W5M4eR4Tr1YA</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<FunctionalStatus>
<Function>
<Type>
<Text>Pregnancy status</Text>
</Type>
<Description>
<Text>Not pregnant</Text>
</Description>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
</Function>
<Function>
<Type>
<Text>Breastfeeding status</Text>
</Type>
<Description>
<Text>Not breastfeeding</Text>
</Description>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
</Function>
</FunctionalStatus>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/wwljIlXuTVg</id>
<published>2008-09-29T03:26:10.080Z</published>
<updated>2008-09-29T03:26:10.081Z</updated>
<category term="MEDICATION"/>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category scheme="http://schemas.google.com/health/item" term="Lipitor"/>
<title type="text"/>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/MEDICATION/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DLipitor"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/wwljIlXuTVg"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/wwljIlXuTVg"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>OrpghzvvbG_YaO5koqT2ug</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<Medications>
<Medication>
<Type/>
<Description/>
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Product>
<ProductName>
<Text>Lipitor</Text>
</ProductName>
<Strength>
<Units/>
<StrengthSequencePosition>0</StrengthSequencePosition>
<VariableStrengthModifier/>
</Strength>
</Product>
<Directions>
<Direction>
<Description/>
<DeliveryMethod/>
<Dose>
<Units/>
<DoseSequencePosition>0</DoseSequencePosition>
<VariableDoseModifier/>
</Dose>
<Route>
<Text>By mouth</Text>
<Code>
<Value>C38288</Value>
<CodingSystem>FDA</CodingSystem>
</Code>
<RouteSequencePosition>0</RouteSequencePosition>
<MultipleRouteModifier/>
</Route>
</Direction>
</Directions>
<Refills/>
</Medication>
</Medications>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/dd09TR12SiY</id>
<published>2008-09-29T07:52:17.175Z</published>
<updated>2008-09-29T07:52:17.176Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category scheme="http://schemas.google.com/health/item" term="Malaria"/>
<category term="CONDITION"/>
<title type="text"/>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DMalaria/CONDITION"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/dd09TR12SiY"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/dd09TR12SiY"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>XF99N6X4lpy.jfPUPLMMSQ</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<Problems>
<Problem>
<Type/>
<Description>
<Text>Malaria</Text>
<Code>
<Value>136.9</Value>
<CodingSystem>ICD9_Broader</CodingSystem>
</Code>
<Code>
<Value>084.6</Value>
<CodingSystem>ICD9</CodingSystem>
</Code>
</Description>
<Status>
<Text>ACTIVE</Text>
</Status>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<HealthStatus>
<Description/>
</HealthStatus>
</Problem>
</Problems>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/aS0Cf964DPs</id>
<published>2008-09-29T03:14:47.463Z</published>
<updated>2008-09-29T03:14:47.463Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category term="DEMOGRAPHICS"/>
<category scheme="http://schemas.google.com/health/item" term="SocialHistory (Drinking, Smoking)"/>
<title type="text">SocialHistory (Drinking, Smoking)</title>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/DEMOGRAPHICS/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DSocialHistory+%28Drinking%2C+Smoking%29"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/aS0Cf964DPs"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/aS0Cf964DPs"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>kXylGU5YXLBzriv61xPGZQ</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<SocialHistory>
<SocialHistoryElement>
<Type>
<Text>Race</Text>
<Code>
<Value>S15814</Value>
<CodingSystem>HL7</CodingSystem>
</Code>
</Type>
<Description>
<Text>White</Text>
</Description>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Episodes>
<Frequency>
<Units/>
</Frequency>
</Episodes>
</SocialHistoryElement>
</SocialHistory>
</Body>
</ContinuityOfCareRecord>
</entry>
<entry>
<id>https://www.google.com/health/feeds/profile/default/s5lII5xfj_g</id>
<published>2008-09-29T03:14:47.544Z</published>
<updated>2008-09-29T03:14:47.545Z</updated>
<category scheme="http://schemas.google.com/health/item" term="VitalSigns"/>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/health/kinds#profile"/>
<category term="DEMOGRAPHICS"/>
<title type="text">VitalSigns</title>
<content type="html"/>
<link rel="http://schemas.google.com/health/data#complete" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/-/%7Bhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fitem%7DVitalSigns/%7Bhttp%3A%2F%2Fschemas.google.com%2Fg%2F2005%23kind%7Dhttp%3A%2F%2Fschemas.google.com%2Fhealth%2Fkinds%23profile/DEMOGRAPHICS"/>
<link rel="self" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/s5lII5xfj_g"/>
<link rel="edit" type="application/atom+xml" href="https://www.google.com/health/feeds/profile/default/s5lII5xfj_g"/>
<author>
<name>User Name</name>
<email>user@gmail.com</email>
</author>
<ContinuityOfCareRecord xmlns="urn:astm-org:CCR">
<CCRDocumentObjectID>FTTIiY0TVVj35kZqFFjPjQ</CCRDocumentObjectID>
<Language/>
<DateTime>
<Type/>
</DateTime>
<Patient/>
<Body>
<VitalSigns>
<Result>
<Type/>
<Description/>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Substance/>
<Test>
<Type/>
<Description>
<Text>Height</Text>
</Description>
<Status/>
<TestResult>
<ResultSequencePosition>0</ResultSequencePosition>
<VariableResultModifier/>
<Value>70</Value>
<Units>
<Unit>inches</Unit>
</Units>
</TestResult>
<ConfidenceValue/>
</Test>
</Result>
<Result>
<Type/>
<Description/>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Substance/>
<Test>
<Type/>
<Description>
<Text>Weight</Text>
</Description>
<Status/>
<TestResult>
<ResultSequencePosition>0</ResultSequencePosition>
<VariableResultModifier/>
<Value>2480</Value>
<Units>
<Unit>ounces</Unit>
</Units>
</TestResult>
<ConfidenceValue/>
</Test>
</Result>
<Result>
<Type/>
<Description/>
<Status/>
<Source>
<Actor>
<ActorID>user@gmail.com</ActorID>
<ActorRole>
<Text>Patient</Text>
</ActorRole>
</Actor>
</Source>
<Substance/>
<Test>
<Type/>
<Description>
<Text>Blood Type</Text>
</Description>
<Status/>
<TestResult>
<ResultSequencePosition>0</ResultSequencePosition>
<VariableResultModifier/>
<Value>O+</Value>
<Units/>
</TestResult>
<ConfidenceValue/>
</Test>
</Result>
</VitalSigns>
</Body>
</ContinuityOfCareRecord>
</entry>
</feed>"""
HEALTH_PROFILE_LIST_ENTRY = """ <entry xmlns='http://www.w3.org/2005/Atom'
xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/'>
<id>
https://www.google.com/health/feeds/profile/list/vndCn5sdfwdEIY</id>
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<div>
<br/>
</div>
</div>
</jot:section>
</div>
</content>
<link rel="self" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/1712987567114738703"/>
<link rel="edit" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/1712987567114738703"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
<gs:worksheet xmlns:gs="http://schemas.google.com/spreadsheets/2006" name="listpage"/>
<gs:header xmlns:gs="http://schemas.google.com/spreadsheets/2006" row="1"/>
<gs:data xmlns:gs="http://schemas.google.com/spreadsheets/2006" startRow="2">
<gs:column index="A" name="Owner"/>
<gs:column index="B" name="Description"/>
<gs:column index="C" name="Resolution"/>
<gs:column index="D" name="Complete"/>
<gs:column index="E" name="MyCo"/>
</gs:data>
<gd:feedLink xmlns:gd="http://schemas.google.com/g/2005" href="http:///sites.google.com/feeds/content/site/gdatatestsite?parent=abc"/>
</entry>'''
SITES_COMMENT_ENTRY = '''<?xml version="1.0" encoding="UTF-8"?>
<entry xmlns="http://www.w3.org/2005/Atom">
<id>http://sites.google.com/feeds/content/site/gdatatestsite/abc123</id>
<updated>2009-06-15T18:40:22.407Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#comment"/>
<title type="text"/>
<content type="xhtml">
<div xmlns="http://www.w3.org/1999/xhtml">first comment</div>
</content>
<link rel="http://schemas.google.com/sites/2008#parent" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123parent"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="edit" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
<thr:in-reply-to xmlns:thr="http://purl.org/syndication/thread/1.0" href="http://sites.google.com/site/gdatatestsite/annoucment/testpost" ref="http://sites.google.com/feeds/content/site/gdatatestsite/abc123" source="http://sites.google.com/feeds/content/site/gdatatestsite" type="text/html"/>
</entry>'''
SITES_LISTITEM_ENTRY = '''<?xml version="1.0" encoding="UTF-8"?>
<entry xmlns="http://www.w3.org/2005/Atom">
<id>http://sites.google.com/feeds/content/site/gdatatestsite/abc123</id>
<updated>2009-06-16T00:34:55.633Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#listitem"/>
<title type="text"/>
<link rel="http://schemas.google.com/sites/2008#parent" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123def"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="edit" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
<gs:field xmlns:gs="http://schemas.google.com/spreadsheets/2006" index="A" name="Owner">test value</gs:field>
<gs:field xmlns:gs="http://schemas.google.com/spreadsheets/2006" index="B" name="Description">test</gs:field>
<gs:field xmlns:gs="http://schemas.google.com/spreadsheets/2006" index="C" name="Resolution">90</gs:field>
<gs:field xmlns:gs="http://schemas.google.com/spreadsheets/2006" index="D" name="Complete"/>
<gs:field xmlns:gs="http://schemas.google.com/spreadsheets/2006" index="E" name="MyCo">2009-05-31</gs:field>
</entry>'''
SITES_CONTENT_FEED = '''<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/"
xmlns:sites="http://schemas.google.com/sites/2008" xmlns:gs="http://schemas.google.com/spreadsheets/2006"
xmlns:dc="http://purl.org/dc/terms" xmlns:batch="http://schemas.google.com/gdata/batch"
xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr="http://purl.org/syndication/thread/1.0">
<id>http://sites.google.com/feeds/content/site/gdatatestsite</id>
<updated>2009-06-15T21:35:43.282Z</updated>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite"/>
<link rel="http://schemas.google.com/g/2005#post" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite"/>
<generator version="1" uri="http://sites.google.com">Google Sites</generator>
<openSearch:startIndex>1</openSearch:startIndex>
<entry>
<id>http:///sites.google.com/feeds/content/site/gdatatestsite/1712987567114738703</id>
<updated>2009-06-16T00:37:37.393Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#listpage"/>
<title type="text">ListPagesTitle</title>
<content type="xhtml">
<div xmlns="http://www.w3.org/1999/xhtml">
<jot:section xmlns:jot="http://www.google.com/ns/jotspot/srvtmpl/" target="content-1">
<div dir="ltr">stuff go here<div>asdf</div>
<div>sdf</div>
<div>
<br/>
</div>
</div>
</jot:section>
</div>
</content>
<link rel="alternate" type="text/html" href="http:///sites.google.com/site/gdatatestsite/asdfsdfsdf"/>
<link rel="self" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/1712987567114738703"/>
<link rel="edit" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/1712987567114738703"/>
<link rel="http://schemas.google.com/sites/2008#revision" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/12345"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
<gs:worksheet xmlns:gs="http://schemas.google.com/spreadsheets/2006" name="listpage"/>
<gs:header xmlns:gs="http://schemas.google.com/spreadsheets/2006" row="1"/>
<gs:data xmlns:gs="http://schemas.google.com/spreadsheets/2006" startRow="2">
<gs:column index="A" name="Owner"/>
<gs:column index="B" name="Description"/>
<gs:column index="C" name="Resolution"/>
<gs:column index="D" name="Complete"/>
<gs:column index="E" name="MyCo"/>
</gs:data>
<sites:revision>2</sites:revision>
<gd:deleted/>
<sites:pageName>home</sites:pageName>
<gd:feedLink xmlns:gd="http://schemas.google.com/g/2005" href="http://sites.google.com/feeds/content/site/gdatatestsite?parent=abc"/>
</entry>
<entry>
<id>http://sites.google.com/feeds/content/site/gdatatestsite/abc123</id>
<updated>2009-06-17T00:40:37.082Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#filecabinet"/>
<title type="text">filecabinet</title>
<content type="xhtml">
<div xmlns="http://www.w3.org/1999/xhtml">
<jot:section xmlns:jot="http://www.google.com/ns/jotspot/srvtmpl/" target="content-1">
<div dir="ltr">sdf</div>
</jot:section>
</div>
</content>
<link rel="http://schemas.google.com/sites/2008#parent" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="edit" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="http://schemas.google.com/sites/2008#revision" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
<gd:feedLink xmlns:gd="http://schemas.google.com/g/2005" href="http://sites.google.com/feeds/content/site/gdatatestsite?parent=8472761212299270332"/>
</entry>
<entry>
<id>http://sites.google.com/feeds/content/site/gdatatestsite/abc123</id>
<updated>2009-06-16T00:34:55.633Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#listitem"/>
<title type="text"/>
<link rel="http://schemas.google.com/sites/2008#parent" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123def"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="edit" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="http://schemas.google.com/sites/2008#revision" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
<gs:field xmlns:gs="http://schemas.google.com/spreadsheets/2006" index="A" name="Owner">test value</gs:field>
<gs:field xmlns:gs="http://schemas.google.com/spreadsheets/2006" index="B" name="Description">test</gs:field>
<gs:field xmlns:gs="http://schemas.google.com/spreadsheets/2006" index="C" name="Resolution">90</gs:field>
<gs:field xmlns:gs="http://schemas.google.com/spreadsheets/2006" index="D" name="Complete"/>
<gs:field xmlns:gs="http://schemas.google.com/spreadsheets/2006" index="E" name="MyCo">2009-05-31</gs:field>
</entry>
<entry>
<id>http://sites.google.com/feeds/content/site/gdatatestsite/abc123</id>
<updated>2009-06-15T18:40:32.922Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#attachment"/>
<title type="text">testFile.ods</title>
<link rel="alternate" type="application/vnd.oasis.opendocument.spreadsheet" href="http://sites.google.com/feeds/SOMELONGURL"/>
<link rel="http://schemas.google.com/sites/2008#parent" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="edit" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="http://schemas.google.com/sites/2008#revision" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
<gd:deleted/>
<sites:pageName>something else</sites:pageName>
</entry>
<entry>
<id>http://sites.google.com/feeds/content/site/gdatatestsite/abc123</id>
<updated>2009-06-15T18:40:22.407Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#comment"/>
<title type="text"/>
<content type="xhtml">
<div xmlns="http://www.w3.org/1999/xhtml">first comment</div>
</content>
<link rel="http://schemas.google.com/sites/2008#parent" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="edit" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="http://schemas.google.com/sites/2008#revision" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
<thr:in-reply-to xmlns:thr="http://purl.org/syndication/thread/1.0" href="http://sites.google.com/site/gdatatestsite/annoucment/testpost" ref="http://sites.google.com/feeds/content/site/gdatatestsite/abc123" source="http://sites.google.com/feeds/content/site/gdatatestsite" type="text/html"/>
</entry>
<entry>
<id>http://sites.google.com/feeds/content/site/gdatatestsite/abc123</id>
<updated>2009-06-15T18:40:16.388Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#announcement"/>
<title type="text">TestPost</title>
<content type="xhtml">
<div xmlns="http://www.w3.org/1999/xhtml">
<jot:section xmlns:jot="http://www.google.com/ns/jotspot/srvtmpl/" target="content-1">
<div dir="ltr">content goes here</div>
</jot:section>
</div>
</content>
<link rel="http://schemas.google.com/sites/2008#parent" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="edit" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="http://schemas.google.com/sites/2008#revision" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
</entry>
<entry>
<id>http://sites.google.com/feeds/content/site/gdatatestsite/abc123</id>
<updated>2009-06-12T23:37:59.417Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#webpage"/>
<title type="text">Home</title>
<content type="xhtml">
<div xmlns="http://www.w3.org/1999/xhtml">
<jot:section xmlns:jot="http://www.google.com/ns/jotspot/srvtmpl/" target="content-1">
<div dir="ltr">Some Content goes here<div>
<br/>
</div>
<div>
<jot:embed height="300" id="4981865780428052" props="align:left;width:250;maxDepth:6" src="http://www.google.com/chart?SOMELONGURL" style="display: block; text-align: left; " type="toc" width="250"/>
<br/>
</div>
</div>
</jot:section>
</div>
</content>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="edit" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="http://schemas.google.com/sites/2008#revision" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
</entry>
<entry>
<id>http://sites.google.com/feeds/content/site/gdatatestsite/2639323850129333500</id>
<updated>2009-06-12T23:32:09.191Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#announcementspage"/>
<title type="text">annoucment</title>
<content type="xhtml">
<div xmlns="http://www.w3.org/1999/xhtml">
</div>
</content>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="edit" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<link rel="http://schemas.google.com/sites/2008#revision" type="application/atom+xml" href="http:///sites.google.com/feeds/content/site/gdatatestsite/abc123"/>
<author>
<name>Test User</name>
<email>test@gmail.com</email>
</author>
<gd:feedLink xmlns:gd="http://schemas.google.com/g/2005" href="http://sites.google.com/feeds/content/site/gdatatestsite?parent=abc123"/>
</entry>
</feed>'''
SITES_ACTIVITY_FEED = '''<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/">
<id>http://sites.google.com/feeds/activity/site/siteName</id>
<updated>2009-08-19T05:46:01.503Z</updated>
<title>Activity</title>
<link rel="alternate" type="text/html" href="http://sites.google.com/a/site/siteName/system/app/pages/recentChanges"/>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="http://sites.google.com/feeds/activity/site/siteName"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/activity/site/siteName"/>
<generator version="1" uri="http://sites.google.com">Google Sites</generator>
<openSearch:startIndex>1</openSearch:startIndex>
<entry xmlns:gd="http://schemas.google.com/g/2005" gd:etag="W/"DUENSH0zfyl7ImA9WxNTFEs."">
<id>http://sites.google.com/feeds/activity/site/siteName/197441951793148343</id>
<updated>2009-08-17T00:08:19.387Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#deletion" label="deletion"/>
<title>NewWebpage3</title>
<summary type="xhtml">
<div xmlns="http://www.w3.org/1999/xhtml">User deleted <a href="http://sites.google.com/site/siteName/newwebpage">NewWebpage3</a>
</div>
</summary>
<link rel="http://schemas.google.com/sites/2008#revision" type="application/atom+xml" href="http://sites.google.com/feeds/revision/site/siteName/6397361387376148502"/>
<link rel="http://schemas.google.com/sites/2008#current" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/siteName/6397361387376148502"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/activity/site/siteName/197441951793148343"/>
<author>
<name>User</name>
<email>user@gmail.com</email>
</author>
</entry>
<entry xmlns:gd="http://schemas.google.com/g/2005" gd:etag="W/"DUEMQnk6eSl7ImA9WxNTFEs."">
<id>http://sites.google.com/feeds/activity/site/siteName/7299542210274956360</id>
<updated>2009-08-17T00:08:03.711Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#edit" label="edit"/>
<title>NewWebpage3</title>
<summary type="xhtml">
<div xmlns="http://www.w3.org/1999/xhtml">User edited <a href="http://sites.google.com/site/siteName/newwebpage">NewWebpage3</a>
</div>
</summary>
<link rel="http://schemas.google.com/sites/2008#revision" type="application/atom+xml" href="http://sites.google.com/feeds/revision/site/siteName/6397361387376148502"/>
<link rel="http://schemas.google.com/sites/2008#current" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/siteName/6397361387376148502"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/activity/site/siteName/7299542210274956360"/>
<author>
<name>User</name>
<email>user@gmail.com</email>
</author>
</entry>
</feed>'''
SITES_REVISION_FEED = '''
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:sites="http://schemas.google.com/sites/2008" xmlns:gs="http://schemas.google.com/spreadsheets/2006" xmlns:dc="http://purl.org/dc/terms" xmlns:batch="http://schemas.google.com/gdata/batch" xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr="http://purl.org/syndication/thread/1.0">
<id>http://sites.google.com/feeds/revision/site/siteName/2947510322163358574</id>
<updated>2009-08-19T06:20:18.151Z</updated>
<title>Revisions</title>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="http://sites.google.com/feeds/revision/2947510322163358574"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/revision/site/siteName/2947510322163358574"/>
<generator version="1" uri="http://sites.google.com">Google Sites</generator>
<openSearch:startIndex>1</openSearch:startIndex>
<entry gd:etag="W/"DEQNRXY-fil7ImA9WxNTFkg."">
<id>http://sites.google.com/feeds/revision/site/siteName/2947510322163358574/1</id>
<updated>2009-08-19T04:33:14.856Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/sites/2008#comment" label="comment"/>
<title/>
<content type="xhtml">
<div xmlns="http://www.w3.org/1999/xhtml">
<table cellspacing="0" class="sites-layout-name-one-column sites-layout-hbox">
<tbody>
<tr>
<td class="sites-layout-tile sites-tile-name-content-1">testcomment</td>
</tr>
</tbody>
</table>
</div>
</content>
<link rel="http://schemas.google.com/sites/2008#parent" type="application/atom+xml" href="http://sites.google.com/feeds/content/site/siteName/54395424125706119"/>
<link rel="alternate" type="text" href="http://sites.google.com/site/system/app/pages/admin/compare?wuid=wuid%3Agx%3A28e7a9057c581b6e&rev1=1"/>
<link rel="self" type="application/atom+xml" href="http://sites.google.com/feeds/revision/site/siteName/2947510322163358574/1"/>
<author>
<name>User</name>
<email>user@gmail.com</email>
</author>
<thr:in-reply-to href="http://sites.google.com/site/siteName/code/js" ref="http://sites.google.com/feeds/content/site/siteName/54395424125706119" source="http://sites.google.com/feeds/content/google.com/siteName" type="text/html;charset=UTF-8"/>
<sites:revision>1</sites:revision>
</entry>
</feed>'''
SITES_SITE_FEED = '''
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:gAcl="http://schemas.google.com/acl/2007" xmlns:sites="http://schemas.google.com/sites/2008" xmlns:gs="http://schemas.google.com/spreadsheets/2006" xmlns:dc="http://purl.org/dc/terms" xmlns:batch="http://schemas.google.com/gdata/batch" xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr="http://purl.org/syndication/thread/1.0">
<id>https://sites.google.com/feeds/site/example.com</id>
<updated>2009-12-09T01:05:54.631Z</updated>
<title>Site</title>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="https://sites.google.com/feeds/site/example.com"/>
<link rel="http://schemas.google.com/g/2005#post" type="application/atom+xml" href="https://sites.google.com/feeds/site/example.com"/>
<link rel="self" type="application/atom+xml" href="https://sites.google.com/feeds/site/example.com"/>
<generator version="1" uri="http://sites.google.com">Google Sites</generator>
<openSearch:startIndex>1</openSearch:startIndex>
<entry gd:etag="W/"DkIHQH4_eCl7I2A9WxNaF0Q."">
<id>https://sites.google.com/feeds/site/example.com/new-test-site</id>
<updated>2009-12-02T22:55:31.040Z</updated>
<app:edited xmlns:app="http://www.w3.org/2007/app">2009-12-02T22:55:31.040Z</app:edited>
<title>New Test Site</title>
<summary>A new site to hold memories</summary>
<link rel="alternate" type="text/html" href="http://sites.google.com/a/example.com/new-test-site/"/>
<link rel="http://schemas.google.com/sites/2008#source" type="application/atom+xml" href="http://sites.google.com/feeds/site/example.com/source-site"/>
<link rel="http://schemas.google.com/acl/2007#accessControlList" type="application/atom+xml" href="http://sites.google.com/feeds/acl/site/example.com/new-test-site"/>
<link rel="self" type="application/atom+xml" href="https://sites.google.com/feeds/site/example.com/new-test-site"/>
<link rel="edit" type="application/atom+xml" href="https://sites.google.com/feeds/site/example.com/new-test-site"/>
<sites:siteName>new-test-site</sites:siteName>
<sites:theme>iceberg</sites:theme>
</entry>
<entry gd:etag="W/"CE8MQH48fyl7I2A9WxNaGUo."">
<id>https://sites.google.com/feeds/site/example.com/newautosite2</id>
<updated>2009-12-05T00:28:01.077Z</updated>
<app:edited xmlns:app="http://www.w3.org/2007/app">2009-12-05T00:28:01.077Z</app:edited>
<title>newAutoSite3</title>
<summary>A new site to hold memories2</summary>
<link rel="alternate" type="text/html" href="http://sites.google.com/a/example.com/newautosite2/"/>
<link rel="http://schemas.google.com/acl/2007#accessControlList" type="application/atom+xml" href="http://sites.google.com/feeds/acl/site/examp.e.com/newautosite2"/>
<link rel="self" type="application/atom+xml" href="https://sites.google.com/feeds/site/example.com/newautosite2"/>
<link rel="edit" type="application/atom+xml" href="https://sites.google.com/feeds/site/example.com/newautosite2"/>
<sites:siteName>newautosite2</sites:siteName>
<sites:theme>default</sites:theme>
</entry>
</feed>'''
SITES_ACL_FEED = '''
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:gAcl="http://schemas.google.com/acl/2007" xmlns:sites="http://schemas.google.com/sites/2008" xmlns:gs="http://schemas.google.com/spreadsheets/2006" xmlns:dc="http://purl.org/dc/terms" xmlns:batch="http://schemas.google.com/gdata/batch" xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr="http://purl.org/syndication/thread/1.0">
<id>https://sites.google.comsites.google.com/feeds/acl/site/example.com/new-test-site</id>
<updated>2009-12-09T01:24:59.080Z</updated>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/acl/2007#accessRule"/>
<title>Acl</title>
<link rel="http://schemas.google.com/g/2005#feed" type="application/atom+xml" href="https://sites.google.com/feeds/acl/site/example.com/new-test-site"/>
<link rel="http://schemas.google.com/g/2005#post" type="application/atom+xml" href="https://sites.google.com/feeds/acl/site/example.com/new-test-site"/>
<link rel="self" type="application/atom+xml" href="https://sites.google.com/feeds/acl/site/example.com/new-test-site"/>
<generator version="1" uri="http://sites.google.com">Google Sites</generator>
<openSearch:startIndex>1</openSearch:startIndex>
<entry>
<id>https://sites.google.com/feeds/acl/site/google.com/new-test-site/user%3Auser%40example.com</id>
<updated>2009-12-09T01:24:59.080Z</updated>
<app:edited xmlns:app="http://www.w3.org/2007/app">2009-12-09T01:24:59.080Z</app:edited>
<category scheme="http://schemas.google.com/g/2005#kind" term="http://schemas.google.com/acl/2007#accessRule"/>
<link rel="self" type="application/atom+xml" href="https://sites.google.com/feeds/acl/site/example.com/new-test-site/user%3Auser%40example.com"/>
<link rel="edit" type="application/atom+xml" href="https://sites.google.com/feeds/acl/site/example.com/new-test-site/user%3Auser%40example.com"/>
<gAcl:scope type="user" value="user@example.com"/>
<gAcl:role value="owner"/>
</entry>
</feed>'''
ANALYTICS_ACCOUNT_FEED_old = '''
<feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:dxp='http://schemas.google.com/analytics/2009'>
<id>http://www.google.com/analytics/feeds/accounts/abc@test.com</id>
<updated>2009-06-25T03:55:22.000-07:00</updated>
<title type='text'>Profile list for abc@test.com</title>
<link rel='self' type='application/atom+xml' href='http://www.google.com/analytics/feeds/accounts/default'/>
<author>
<name>Google Analytics</name>
</author>
<generator version='1.0'>Google Analytics</generator>
<openSearch:totalResults>12</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<openSearch:itemsPerPage>12</openSearch:itemsPerPage>
<entry>
<id>http://www.google.com/analytics/feeds/accounts/ga:1174</id>
<updated>2009-06-25T03:55:22.000-07:00</updated>
<title type='text'>www.googlestore.com</title>
<link rel='alternate' type='text/html' href='http://www.google.com/analytics'/>
<dxp:tableId>ga:1174</dxp:tableId>
<dxp:property name='ga:accountId' value='30481'/>
<dxp:property name='ga:accountName' value='Google Store'/>
<dxp:property name='ga:profileId' value='1174'/>
<dxp:property name='ga:webPropertyId' value='UA-30481-1'/>
<dxp:property name='ga:currency' value='USD'/>
<dxp:property name='ga:timezone' value='America/Los_Angeles'/>
</entry>
</feed>'''
ANALYTICS_ACCOUNT_FEED = '''
<feed xmlns='http://www.w3.org/2005/Atom' xmlns:dxp='http://schemas.google.com/analytics/2009' xmlns:ga='http://schemas.google.com/ga/2009' xmlns:openSearch='http://a9.com/-/spec/opensearch/1.1/' xmlns:gd='http://schemas.google\
.com/g/2005' gd:etag='W/"DE8CRH47eCp7I2A9WxNWFU4."' gd:kind='analytics#accounts'>
<id>http://www.google.com/analytics/feeds/accounts/api.nickm@google.com</id>
<updated>2009-10-14T09:14:25.000-07:00</updated>
<title>Profile list for abc@test.com</title>
<link rel='self' type='application/atom+xml' href='http://www.google.com/analytics/feeds/accounts/default?v=2'/>
<author>
<name>Google Analytics</name>
</author>
<generator version='1.0'>Google Analytics</generator>
<openSearch:totalResults>37</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<openSearch:itemsPerPage>37</openSearch:itemsPerPage>
<dxp:segment id='gaid::-11' name='Visits from iPhones'>
<dxp:definition>ga:operatingSystem==iPhone</dxp:definition>
</dxp:segment>
<entry gd:etag='W/"DE8CRH47eCp7I2A9WxNWFU4."' gd:kind='analytics#account'>
<id>http://www.google.com/analytics/feeds/accounts/ga:1174</id>
<updated>2009-10-14T09:14:25.000-07:00</updated>
<title>www.googlestore.com</title>
<link rel='alternate' type='text/html' href='http://www.google.com/analytics'/>
<ga:goal active='true' name='Completing Order' number='1' value='10.0'>
<ga:destination caseSensitive='false' expression='/purchaseComplete.html' matchType='regex' step1Required='false'>
<ga:step name='View Product Categories' number='1' path='/Apps|Accessories|Fun|Kid\+s|Office'/>
<ga:step name='View Product' number='2' path='/Apps|Accessories|Fun|Kid\+s|Office|Wearables'/>
</ga:destination>
</ga:goal>
<ga:goal active='true' name='Browsed my site over 5 minutes' number='6' value='0.0'>
<ga:engagement comparison='>' thresholdValue='300' type='timeOnSite'/>
</ga:goal>
<ga:goal active='true' name='Visited > 4 pages' number='7' value='0.25'>
<ga:engagement comparison='>' thresholdValue='4' type='pagesVisited'/>
</ga:goal>
<ga:customVariable index='1' name='My Custom Variable' scope='3'/>
<ga:customVariable index='2' name='My Seconds Variable' scope='1'/>
<dxp:property name='ga:accountId' value='30481'/>
<dxp:property name='ga:accountName' value='Google Store'/>
<dxp:property name='ga:profileId' value='1174'/>
<dxp:property name='ga:webPropertyId' value='UA-30481-1'/>
<dxp:property name='ga:currency' value='USD'/>
<dxp:property name='ga:timezone' value='America/Los_Angeles'/>
<dxp:tableId>ga:1174</dxp:tableId>
</entry>
</feed>'''
ANALYTICS_DATA_FEED = '''
<feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:dxp='http://schemas.google.com/analytics/2009'>
<id>http://www.google.com/analytics/feeds/data?ids=ga:1174&dimensions=ga:medium,ga:source&metrics=ga:bounces,ga:visits&filters=ga:medium%3D%3Dreferral&start-date=2008-10-01&end-date=2008-10-31</id>
<updated>2008-10-31T16:59:59.999-07:00</updated>
<title type='text'>Google Analytics Data for Profile 1174</title>
<link rel='self' type='application/atom+xml' href='http://www.google.com/analytics/feeds/data?max-results=5&sort=-ga%3Avisits&end-date=2008-10-31&start-date=2008-10-01&metrics=ga%3Avisits%2Cga%3Abounces&ids=ga%3A1174&dimensions=ga%3Asource%2Cga%3Amedium&filters=ga%3Amedium%3D%3Dreferral'/>
<link rel='next' type='application/atom+xml' href='http://www.google.com/analytics/feeds/data?start-index=6&max-results=5&sort=-ga%3Avisits&end-date=2008-10-31&start-date=2008-10-01&metrics=ga%3Avisits%2Cga%3Abounces&ids=ga%3A1174&dimensions=ga%3Asource%2Cga%3Amedium&filters=ga%3Amedium%3D%3Dreferral'/>
<author>
<name>Google Analytics</name>
</author>
<generator version='1.0'>Google Analytics</generator>
<openSearch:totalResults>6451</openSearch:totalResults>
<openSearch:startIndex>1</openSearch:startIndex>
<openSearch:itemsPerPage>2</openSearch:itemsPerPage>
<dxp:startDate>2008-10-01</dxp:startDate>
<dxp:endDate>2008-10-31</dxp:endDate>
<dxp:segment id='gaid::-11' name='Visits from iPhones'>
<dxp:definition>ga:operatingSystem==iPhone</dxp:definition>
</dxp:segment>
<dxp:aggregates>
<dxp:metric confidenceInterval='0.0' name='ga:visits' type='integer' value='136540'/>
<dxp:metric confidenceInterval='0.0' name='ga:bounces' type='integer' value='101535'/>
</dxp:aggregates>
<dxp:dataSource>
<dxp:tableId>ga:1174</dxp:tableId>
<dxp:tableName>www.googlestore.com</dxp:tableName>
<dxp:property name='ga:profileId' value='1174'/>
<dxp:property name='ga:webPropertyId' value='UA-30481-1'/>
<dxp:property name='ga:accountName' value='Google Store'/>
</dxp:dataSource>
<entry>
<id>http://www.google.com/analytics/feeds/data?ids=ga:1174&ga:medium=referral&ga:source=blogger.com&filters=ga:medium%3D%3Dreferral&start-date=2008-10-01&end-date=2008-10-31</id>
<updated>2008-10-30T17:00:00.001-07:00</updated>
<title type='text'>ga:source=blogger.com | ga:medium=referral</title>
<link rel='alternate' type='text/html' href='http://www.google.com/analytics'/>
<dxp:dimension name='ga:source' value='blogger.com'/>
<dxp:dimension name='ga:medium' value='referral'/>
<dxp:metric confidenceInterval='0.0' name='ga:visits' type='integer' value='68140'/>
<dxp:metric confidenceInterval='0.0' name='ga:bounces' type='integer' value='61095'/>
</entry>
</feed>'''
| 57.645609 | 3,608 | 0.661292 | 41,728 | 311,171 | 4.918208 | 0.057947 | 0.059027 | 0.050281 | 0.059154 | 0.88042 | 0.864155 | 0.846555 | 0.823781 | 0.804665 | 0.774362 | 0 | 0.067377 | 0.149133 | 311,171 | 5,397 | 3,609 | 57.656291 | 0.707752 | 0.001832 | 0 | 0.683165 | 0 | 0.214409 | 0.991029 | 0.223013 | 0 | 0 | 0.000026 | 0 | 0 | 1 | 0 | false | 0.000382 | 0.000191 | 0 | 0.000191 | 0.000191 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
8a042b090e9ac8ffd99e4ae6b8086d4cddfc7513 | 87,171 | py | Python | tests/integ/dataset_test.py | biosimulations/hsds | bd5b659c4fcc60c4a2791b2f39750faaa9098d09 | [
"Apache-2.0"
] | null | null | null | tests/integ/dataset_test.py | biosimulations/hsds | bd5b659c4fcc60c4a2791b2f39750faaa9098d09 | [
"Apache-2.0"
] | null | null | null | tests/integ/dataset_test.py | biosimulations/hsds | bd5b659c4fcc60c4a2791b2f39750faaa9098d09 | [
"Apache-2.0"
] | null | null | null | ##############################################################################
# Copyright by The HDF Group. #
# All rights reserved. #
# #
# This file is part of HSDS (HDF5 Scalable Data Service), Libraries and #
# Utilities. The full HSDS copyright notice, including #
# terms governing use, modification, and redistribution, is contained in #
# the file COPYING, which can be found at the root of the source code #
# distribution tree. If you do not have access to this file, you may #
# request a copy from help@hdfgroup.org. #
##############################################################################
import unittest
import json
import time
import numpy as np
import helper
import config
# min/max chunk size - these can be set by config, but
# practially the min config value should be larger than
# CHUNK_MIN and the max config value should less than
# CHUNK_MAX
CHUNK_MIN = 1024 # lower limit (1024b)
CHUNK_MAX = 50*1024*1024 # upper limit (50M)
class DatasetTest(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(DatasetTest, self).__init__(*args, **kwargs)
self.base_domain = helper.getTestDomainName(self.__class__.__name__)
helper.setupDomain(self.base_domain, folder=True)
self.endpoint = helper.getEndpoint()
def setUp(self):
self.session = helper.getSession()
def tearDown(self):
if self.session:
self.session.close()
# main
def testScalarDataset(self):
# Test creation/deletion of scalar dataset obj
domain = self.base_domain + "/testScalarDataset.h5"
helper.setupDomain(domain)
print("testScalarDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
req = self.endpoint + '/'
# Get root uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
root_uuid = rspJson["root"]
helper.validateId(root_uuid)
# create a dataset obj
data = { "type": "H5T_IEEE_F32LE" }
req = self.endpoint + '/datasets'
rsp = self.session.post(req, data=json.dumps(data), headers=headers)
self.assertEqual(rsp.status_code, 201)
rspJson = json.loads(rsp.text)
self.assertEqual(rspJson["attributeCount"], 0)
dset_id = rspJson["id"]
self.assertTrue(helper.validateId(dset_id))
# read back the obj
req = self.endpoint + '/datasets/' + dset_id
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
for name in ("id", "shape", "hrefs", "layout", "creationProperties",
"attributeCount", "created", "lastModified", "root", "domain"):
self.assertTrue(name in rspJson)
self.assertEqual(rspJson["id"], dset_id)
self.assertEqual(rspJson["root"], root_uuid)
self.assertEqual(rspJson["domain"], domain)
self.assertEqual(rspJson["attributeCount"], 0)
shape_json = rspJson["shape"]
self.assertTrue(shape_json["class"], "H5S_SCALAR")
self.assertTrue(rspJson["type"], "H5T_IEEE_F32LE")
# Get the type
rsp = self.session.get(req + "/type", headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("type" in rspJson)
self.assertTrue(rspJson["type"], "H5T_IEEE_F32LE")
self.assertTrue("hrefs" in rspJson)
hrefs = rspJson["hrefs"]
self.assertEqual(len(hrefs), 3)
# Get the shape
rsp = self.session.get(req + "/shape", headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("created" in rspJson)
self.assertTrue("lastModified" in rspJson)
self.assertTrue("hrefs" in rspJson)
self.assertTrue("shape" in rspJson)
shape_json = rspJson["shape"]
self.assertTrue(shape_json["class"], "H5S_SCALAR")
# try getting verbose info
params = {"verbose": 1}
rsp = self.session.get(req, params=params, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
for name in ("id", "shape", "hrefs", "layout", "creationProperties",
"attributeCount", "created", "lastModified", "root", "domain"):
self.assertTrue(name in rspJson)
#self.assertTrue("num_chunks" in rspJson)
#self.assertTrue("allocated_size" in rspJson)
# try get with a different user (who has read permission)
headers = helper.getRequestHeaders(domain=domain, username="test_user2")
rsp = self.session.get(req, headers=headers)
if config.get("default_public"):
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertEqual(rspJson["id"], dset_id)
else:
self.assertEqual(rsp.status_code, 403)
# try to do a GET with a different domain (should fail)
another_domain = self.base_domain + "/testScalarDataset2.h5"
helper.setupDomain(another_domain)
print("testScalarDataset2", another_domain)
headers = helper.getRequestHeaders(domain=another_domain)
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 400)
# try DELETE with user who doesn't have create permission on this domain
headers = helper.getRequestHeaders(domain=domain, username="test_user2")
rsp = self.session.delete(req, headers=headers)
self.assertEqual(rsp.status_code, 403) # forbidden
# try to do a DELETE with a different domain (should fail)
# Test creation/deletion of scalar dataset obj
headers = helper.getRequestHeaders(domain=another_domain)
rsp = self.session.delete(req, headers=headers)
self.assertEqual(rsp.status_code, 400)
# delete the dataset
headers = helper.getRequestHeaders(domain=domain)
rsp = self.session.delete(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue(rspJson is not None)
# a get for the dataset should now return 410 (GONE)
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 410)
def testScalarEmptyDimsDataset(self):
# Test creation/deletion of scalar dataset obj
domain = self.base_domain + "/testScalarEmptyDimsDataset.h5"
helper.setupDomain(domain)
print("testScalarEmptyDimsDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
req = self.endpoint + '/'
# Get root uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
root_uuid = rspJson["root"]
helper.validateId(root_uuid)
# create a dataset obj
data = { "type": "H5T_IEEE_F32LE", "shape": [] }
req = self.endpoint + '/datasets'
rsp = self.session.post(req, data=json.dumps(data), headers=headers)
self.assertEqual(rsp.status_code, 201)
rspJson = json.loads(rsp.text)
self.assertEqual(rspJson["attributeCount"], 0)
dset_id = rspJson["id"]
self.assertTrue(helper.validateId(dset_id))
# read back the obj
req = self.endpoint + '/datasets/' + dset_id
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("id" in rspJson)
self.assertEqual(rspJson["id"], dset_id)
self.assertTrue("created" in rspJson)
self.assertTrue("lastModified" in rspJson)
self.assertTrue("hrefs" in rspJson)
self.assertTrue("attributeCount" in rspJson)
self.assertEqual(rspJson["attributeCount"], 0)
self.assertTrue("shape" in rspJson)
shape_json = rspJson["shape"]
self.assertTrue(shape_json["class"], "H5S_SCALAR")
self.assertFalse("dims" in shape_json)
self.assertTrue("type" in rspJson)
self.assertTrue(rspJson["type"], "H5T_IEEE_F32LE")
def testGet(self):
domain = helper.getTestDomain("tall.h5")
print("testGetDomain", domain)
headers = helper.getRequestHeaders(domain=domain)
# verify domain exists
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
if rsp.status_code != 200:
print("WARNING: Failed to get domain: {}. Is test data setup?".format(domain))
return # abort rest of test
domainJson = json.loads(rsp.text)
root_uuid = domainJson["root"]
# get the dataset uuid
dset_uuid = helper.getUUIDByPath(domain, "/g1/g1.1/dset1.1.1", session=self.session)
self.assertTrue(dset_uuid.startswith("d-"))
# get the dataset json
req = helper.getEndpoint() + '/datasets/' + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
for name in ("id", "shape", "hrefs", "layout", "creationProperties",
"attributeCount", "created", "lastModified", "root", "domain"):
self.assertTrue(name in rspJson)
self.assertEqual(rspJson["id"], dset_uuid)
self.assertEqual(rspJson["root"], root_uuid)
self.assertEqual(rspJson["domain"], domain)
hrefs = rspJson["hrefs"]
self.assertEqual(len(hrefs), 5)
self.assertEqual(rspJson["id"], dset_uuid)
shape = rspJson["shape"]
for name in ("class", "dims", "maxdims"):
self.assertTrue(name in shape)
self.assertEqual(shape["class"], 'H5S_SIMPLE')
self.assertEqual(shape["dims"], [10,10])
self.assertEqual(shape["maxdims"], [10,10])
layout = rspJson["layout"]
self.assertEqual(layout["class"], 'H5D_CHUNKED')
self.assertEqual(layout["dims"], [10,10])
self.assertTrue("partition_count" not in layout)
type = rspJson["type"]
for name in ("base", "class"):
self.assertTrue(name in type)
self.assertEqual(type["class"], 'H5T_INTEGER')
self.assertEqual(type["base"], 'H5T_STD_I32BE')
self.assertEqual(rspJson["attributeCount"], 2)
# these properties should only be available when verbose is used
self.assertFalse("num_chunks" in rspJson)
self.assertFalse("allocated_size" in rspJson)
# attribute should only be here if include_attrs is used
self.assertFalse("attributes" in rspJson)
now = time.time()
# the object shouldn't have been just created or updated
self.assertTrue(rspJson["created"] < now - 10)
self.assertTrue(rspJson["lastModified"] < now - 10)
# request the dataset path
req = helper.getEndpoint() + '/datasets/' + dset_uuid
params = {"getalias": 1}
rsp = self.session.get(req, params=params, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("alias" in rspJson)
self.assertEqual(rspJson["alias"], ['/g1/g1.1/dset1.1.1'])
# request attributes be included
params = {"include_attrs": 1}
rsp = self.session.get(req, params=params, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("attributes" in rspJson)
attrs = rspJson["attributes"]
self.assertTrue("attr1" in attrs)
self.assertTrue("attr2" in attrs)
def testGetByPath(self):
domain = helper.getTestDomain("tall.h5")
print("testGetDomain", domain)
headers = helper.getRequestHeaders(domain=domain)
# verify domain exists
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
if rsp.status_code != 200:
print("WARNING: Failed to get domain: {}. Is test data setup?".format(domain))
return # abort rest of test
domainJson = json.loads(rsp.text)
root_uuid = domainJson["root"]
# get the dataset at "/g1/g1.1/dset1.1.1"
h5path = "/g1/g1.1/dset1.1.1"
req = helper.getEndpoint() + "/datasets/"
params = {"h5path": h5path}
rsp = self.session.get(req, headers=headers, params=params)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
for name in ("id", "shape", "hrefs", "layout", "creationProperties",
"attributeCount", "created", "lastModified", "root", "domain"):
self.assertTrue(name in rspJson)
# get the dataset via a relative apth "g1/g1.1/dset1.1.1"
h5path = "g1/g1.1/dset1.1.1"
req = helper.getEndpoint() + "/datasets/"
params = {"h5path": h5path, "grpid": root_uuid}
rsp = self.session.get(req, headers=headers, params=params)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
for name in ("id", "shape", "hrefs", "layout", "creationProperties",
"attributeCount", "created", "lastModified", "root", "domain"):
self.assertTrue(name in rspJson)
# get the dataset uuid and verify it matches what we got by h5path
dset_uuid = helper.getUUIDByPath(domain, "/g1/g1.1/dset1.1.1", session=self.session)
self.assertTrue(dset_uuid.startswith("d-"))
self.assertEqual(dset_uuid, rspJson["id"])
# try a invalid link and verify a 404 is returened
h5path = "/g1/foobar"
req = helper.getEndpoint() + "/datasets/"
params = {"h5path": h5path}
rsp = self.session.get(req, headers=headers, params=params)
self.assertEqual(rsp.status_code, 404)
# try passing a path to a group and verify we get 404
h5path = "/g1/g1.1"
req = helper.getEndpoint() + "/datasets/"
params = {"h5path": h5path}
rsp = self.session.get(req, headers=headers, params=params)
self.assertEqual(rsp.status_code, 404)
def testGetVerbose(self):
domain = helper.getTestDomain("tall.h5")
print("testGetDomain", domain)
headers = helper.getRequestHeaders(domain=domain)
# verify domain exists
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
if rsp.status_code != 200:
print("WARNING: Failed to get domain: {}. Is test data setup?".format(domain))
return # abort rest of test
domainJson = json.loads(rsp.text)
root_uuid = domainJson["root"]
self.assertTrue(helper.validateId(root_uuid))
# get the dataset uuid
dset_uuid = helper.getUUIDByPath(domain, "/g1/g1.1/dset1.1.1", session=self.session)
self.assertTrue(dset_uuid.startswith("d-"))
# get the dataset json
req = helper.getEndpoint() + '/datasets/' + dset_uuid
params = {"verbose": 1}
rsp = self.session.get(req, params=params, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
for name in ("id", "shape", "hrefs", "layout", "creationProperties",
"attributeCount", "created", "lastModified", "root", "domain"):
self.assertTrue(name in rspJson)
# these properties should only be available when verbose is used
self.assertTrue("num_chunks" in rspJson)
self.assertTrue("allocated_size" in rspJson)
#self.assertEqual(rspJson["num_chunks"], 1)
#self.assertEqual(rspJson["allocated_size"], 1026) # this will likely change once compression is working
def testDelete(self):
# test Delete
domain = self.base_domain + "/testDelete.h5"
helper.setupDomain(domain)
print("testDelete", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
# create a new dataset
req = helper.getEndpoint() + '/datasets'
rsp = self.session.post(req, headers=headers)
data = { "type": "H5T_IEEE_F32LE" }
req = self.endpoint + '/datasets'
rsp = self.session.post(req, data=json.dumps(data), headers=headers)
self.assertEqual(rsp.status_code, 201)
rspJson = json.loads(rsp.text)
self.assertEqual(rspJson["attributeCount"], 0)
dset_id = rspJson["id"]
self.assertTrue(helper.validateId(dset_id))
# verify we can do a get on the new dataset
req = helper.getEndpoint() + '/datasets/' + dset_id
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("id" in rspJson)
self.assertEqual(rspJson["id"], dset_id)
# try DELETE with user who doesn't have create permission on this domain
headers = helper.getRequestHeaders(domain=domain, username="test_user2")
rsp = self.session.delete(req, headers=headers)
self.assertEqual(rsp.status_code, 403) # forbidden
# try to do a DELETE with a different domain (should fail)
another_domain = helper.getParentDomain(domain)
headers = helper.getRequestHeaders(domain=another_domain)
req = helper.getEndpoint() + '/datasets/' + dset_id
rsp = self.session.delete(req, headers=headers)
self.assertEqual(rsp.status_code, 400)
# delete the new dataset
headers = helper.getRequestHeaders(domain)
rsp = self.session.delete(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue(rspJson is not None)
# a get for the dataset should now return 410 (GONE)
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 410)
def testCompound(self):
# test Dataset with compound type
domain = self.base_domain + "/testCompound.h5"
helper.setupDomain(domain)
print("testCompound", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
fields = ({'name': 'temp', 'type': 'H5T_STD_I32LE'},
{'name': 'pressure', 'type': 'H5T_IEEE_F32LE'})
datatype = {'class': 'H5T_COMPOUND', 'fields': fields }
payload = {'type': datatype, 'shape': 10}
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link the new dataset
name = "dset"
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
def testCompoundDuplicateMember(self):
# test Dataset with compound type but field that is repeated
domain = self.base_domain + "/testCompoundDuplicateMember.h5"
helper.setupDomain(domain)
print("testCompoundDupicateMember", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
self.assertTrue(helper.validateId(root_uuid))
fields = ({'name': 'x', 'type': 'H5T_STD_I32LE'},
{'name': 'x', 'type': 'H5T_IEEE_F32LE'})
datatype = {'class': 'H5T_COMPOUND', 'fields': fields }
payload = {'type': datatype, 'shape': 10}
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 400) # Bad Request
def testPostNullSpace(self):
# test Dataset with null dataspace type
domain = self.base_domain + "/testPostNullSpace.h5"
helper.setupDomain(domain)
print("testNullSpace", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# pass H5S_NULL for shape
payload = {'type': 'H5T_IEEE_F32LE', 'shape': 'H5S_NULL'}
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset1'
name = 'dset1'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify the dataspace is has a null dataspace
req = self.endpoint + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_NULL')
# verify type
type_json = rspJson["type"]
self.assertEqual(type_json["class"], 'H5T_FLOAT')
self.assertEqual(type_json['base'], 'H5T_IEEE_F32LE')
def testResizableDataset(self):
# test Dataset with resizable dimension dataspace type
domain = self.base_domain + "/testResizableDataset.h5"
helper.setupDomain(domain)
print("testResizableDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
payload = {'type': 'H5T_IEEE_F32LE', 'shape': 10, 'maxdims': 20}
payload['creationProperties'] = {'fillValue': 3.12 }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'resizable'
name = 'resizable'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify type and shape
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
type_json = rspJson['type']
self.assertEqual(type_json['class'], 'H5T_FLOAT')
self.assertEqual(type_json['base'], 'H5T_IEEE_F32LE')
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 1)
self.assertEqual(shape['dims'][0], 10)
self.assertTrue('maxdims' in shape)
self.assertEqual(shape['maxdims'][0], 20)
creationProps = rspJson["creationProperties"]
self.assertEqual(creationProps["fillValue"], 3.12)
# verify shape using the GET shape request
req = req + "/shape"
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("type" not in rspJson)
self.assertTrue("shape" in rspJson)
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 1)
self.assertEqual(shape['dims'][0], 10)
self.assertTrue('maxdims' in shape)
self.assertEqual(shape['maxdims'][0], 20)
# resize the dataset to 15 elements
payload = {"shape": 15}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
rspJson = json.loads(rsp.text)
# verify updated-shape using the GET shape request
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("shape" in rspJson)
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 1)
self.assertEqual(shape['dims'][0], 15) # increased to 15
self.assertTrue('maxdims' in shape)
self.assertEqual(shape['maxdims'][0], 20)
# resize the dataset to 25 elements (should fail)
payload = {"shape": 25}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 409)
def testResizableUnlimitedDataset(self):
# test Dataset with unlimited dimension
domain = self.base_domain + "/testResizableUnlimitedDataset.h5"
helper.setupDomain(domain)
print("testResizableUnlimitedDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
payload = {'type': 'H5T_IEEE_F32LE', 'shape': [10, 20], 'maxdims': [30, 0]}
payload['creationProperties'] = {'fillValue': 3.12 }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'resizable'
name = 'resizable'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify type and shape
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
type_json = rspJson['type']
self.assertEqual(type_json['class'], 'H5T_FLOAT')
self.assertEqual(type_json['base'], 'H5T_IEEE_F32LE')
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 2)
self.assertEqual(shape['dims'][0], 10)
self.assertEqual(shape['dims'][1], 20)
self.assertTrue('maxdims' in shape)
self.assertEqual(shape['maxdims'][0], 30)
self.assertEqual(shape['maxdims'][1], 0)
# verify shape using the GET shape request
req = req + "/shape"
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("type" not in rspJson)
self.assertTrue("shape" in rspJson)
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 2)
self.assertEqual(shape['dims'][0], 10)
self.assertEqual(shape['dims'][1], 20)
self.assertTrue('maxdims' in shape)
self.assertEqual(len(shape['maxdims']), 2)
self.assertEqual(shape['maxdims'][0], 30)
self.assertEqual(shape['maxdims'][1], 0)
# resize the second dimension to 500 elements
payload = {"shape": [10, 500]}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
rspJson = json.loads(rsp.text)
# verify updated-shape using the GET shape request
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("shape" in rspJson)
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 2)
self.assertEqual(shape['dims'][0], 10)
self.assertEqual(shape['dims'][1], 500)
self.assertTrue('maxdims' in shape)
self.assertEqual(len(shape['maxdims']), 2)
self.assertEqual(shape['maxdims'][0], 30)
self.assertEqual(shape['maxdims'][1], 0)
def testExtendDataset(self):
# test extending dataset
domain = self.base_domain + "/testExtendDataset.h5"
helper.setupDomain(domain)
print("testExtendDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
payload = {'type': 'H5T_STD_I32LE', 'shape': 10, 'maxdims': 20}
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'extendable'
name = 'extendable'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify type and shape
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
type_json = rspJson['type']
self.assertEqual(type_json['class'], 'H5T_INTEGER')
self.assertEqual(type_json['base'], 'H5T_STD_I32LE')
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 1)
self.assertEqual(shape['dims'][0], 10)
self.assertTrue('maxdims' in shape)
self.assertEqual(shape['maxdims'][0], 20)
# verify shape using the GET shape request
req = req + "/shape"
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("type" not in rspJson)
self.assertTrue("shape" in rspJson)
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 1)
self.assertEqual(shape['dims'][0], 10)
self.assertTrue('maxdims' in shape)
self.assertEqual(shape['maxdims'][0], 20)
# extend the dataset by 5 elements
payload = {"extend": 5}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
rspJson = json.loads(rsp.text)
self.assertTrue("selection" in rspJson)
self.assertEqual(rspJson["selection"], "[10:15]")
# verify updated-shape using the GET shape request
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("shape" in rspJson)
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 1)
self.assertEqual(shape['dims'][0], 15) # increased to 15
self.assertTrue('maxdims' in shape)
self.assertEqual(shape['maxdims'][0], 20)
# try extending by 10 elements (should fail)
payload = {"extend": 10}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 409)
def testExtend2DDataset(self):
# test extending dataset with two dimension
domain = self.base_domain + "/testExtend2DDataset.h5"
helper.setupDomain(domain)
print("testExtend2DDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
payload = {'type': 'H5T_STD_I32LE', 'shape': [10,20], 'maxdims':[0,0]}
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'extendable'
name = 'extendable'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify type and shape
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
type_json = rspJson['type']
self.assertEqual(type_json['class'], 'H5T_INTEGER')
self.assertEqual(type_json['base'], 'H5T_STD_I32LE')
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 2)
self.assertEqual(shape['dims'][0], 10)
self.assertEqual(shape['dims'][1], 20)
self.assertTrue('maxdims' in shape)
self.assertEqual(shape['maxdims'][0], 0)
# verify shape using the GET shape request
req = req + "/shape"
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("type" not in rspJson)
self.assertTrue("shape" in rspJson)
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 2)
self.assertEqual(shape['dims'][0], 10)
self.assertTrue('maxdims' in shape)
self.assertEqual(shape['maxdims'][0], 0)
# extend the dataset by 5 elements in first dimension
payload = {"extend": 5, "extend_dim": 0}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
rspJson = json.loads(rsp.text)
self.assertTrue("selection" in rspJson)
self.assertEqual(rspJson["selection"], "[10:15,:]")
# verify updated-shape using the GET shape request
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("shape" in rspJson)
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 2)
self.assertEqual(shape['dims'][0], 15) # increased to 15
self.assertEqual(shape['dims'][1], 20) # still 20
# extend the dataset by 10 elements in second dimension
payload = {"extend": 10, "extend_dim": 1}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
rspJson = json.loads(rsp.text)
self.assertTrue("selection" in rspJson)
self.assertEqual(rspJson["selection"], "[:,20:30]")
# verify updated-shape using the GET shape request
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("shape" in rspJson)
shape = rspJson['shape']
self.assertEqual(shape['class'], 'H5S_SIMPLE')
self.assertEqual(len(shape['dims']), 2)
self.assertEqual(shape['dims'][0], 15) # increased to 15
self.assertEqual(shape['dims'][1], 30) # increased to 30
def testCreationPropertiesLayoutDataset(self):
# test Dataset with creation property list
domain = self.base_domain + "/testCreationPropertiesLayoutDataset.h5"
helper.setupDomain(domain)
print("testCreationPropertiesLayoutDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
# Create ~1GB dataset
payload = {'type': 'H5T_IEEE_F32LE', 'shape': [365, 780, 1024], 'maxdims': [0, 780, 1024]}
# define a chunk layout with 4 chunks per 'slice'
# chunk size is 798720 bytes
gzip_filter = {'class': 'H5Z_FILTER_DEFLATE', 'id': 1, 'level': 9, 'name': 'deflate'}
payload['creationProperties'] = {'layout': {'class': 'H5D_CHUNKED', 'dims': [1, 390, 512] }, 'filters': [gzip_filter,] }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'chunktest'
name = 'chunktest'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED')
self.assertTrue("dims" in layout_json)
self.assertEqual(layout_json["dims"], [1, 390, 1024])
if config.get("max_chunks_per_folder") > 0:
self.assertTrue("partition_count" in layout_json)
self.assertEqual(layout_json["partition_count"], 10)
# verify compression
self.assertTrue("creationProperties" in rspJson)
cpl = rspJson["creationProperties"]
self.assertTrue("filters") in cpl
filters = cpl["filters"]
self.assertEqual(len(filters), 1)
filter = filters[0]
self.assertTrue("class") in filter
self.assertEqual(filter["class"], 'H5Z_FILTER_DEFLATE')
self.assertTrue("level" in filter)
self.assertEqual(filter["level"], 9)
self.assertTrue("id" in filter)
self.assertEqual(filter["id"], 1)
def testCompressionFiltersDataset(self):
# test Dataset with creation property list
domain = self.base_domain + "/testCompressionFiltersDataset.h5"
helper.setupDomain(domain)
print("testCompressionFiltersDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
compressors = rspJson["compressors"]
self.assertTrue(len(compressors) >= 5)
for compressor in compressors:
# create the dataset
req = self.endpoint + "/datasets"
payload = {'type': 'H5T_IEEE_F32LE', 'shape': [40, 80]}
payload['creationProperties'] = { 'filters': [compressor,] }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset
req = self.endpoint + "/groups/" + root_uuid + "/links/" + compressor
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED')
# verify compression
self.assertTrue("creationProperties" in rspJson)
cpl = rspJson["creationProperties"]
self.assertTrue("filters") in cpl
filters = cpl["filters"]
self.assertEqual(len(filters), 1)
filter = filters[0]
self.assertTrue(isinstance(filter, dict))
self.assertTrue('class' in filter)
self.assertTrue('id' in filter)
self.assertTrue('name' in filter)
if compressor == "deflate":
self.assertTrue(filter['name'] in ("deflate", "gzip"))
else:
self.assertEqual(filter['name'], compressor)
def testCompressionFilterOptionDataset(self):
# test Dataset with creation property list
domain = self.base_domain + "/testCompressionFilterOptionDataset.h5"
helper.setupDomain(domain)
print("testCompressionFilterOptionDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
compressor = {'class': 'H5Z_FILTER_USER', 'name': 'lz4', 'level': 5}
payload = {'type': 'H5T_IEEE_F32LE', 'shape': [40, 80]}
payload['creationProperties'] = { 'filters': [compressor,] }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset
req = self.endpoint + "/groups/" + root_uuid + "/links/dset"
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED')
# verify compression
self.assertTrue("creationProperties" in rspJson)
cpl = rspJson["creationProperties"]
self.assertTrue("filters") in cpl
filters = cpl["filters"]
self.assertEqual(len(filters), 1)
filter = filters[0]
self.assertTrue(isinstance(filter, dict))
self.assertTrue('class' in filter)
self.assertEqual(filter['class'], 'H5Z_FILTER_USER')
self.assertTrue('id' in filter)
self.assertTrue('name' in filter)
self.assertEqual(filter['name'], 'lz4')
def testInvalidCompressionFilter(self):
# test invalid compressor fails at dataset creation time
# test Dataset with creation property list
domain = self.base_domain + "/testCompressionFilter.h5"
helper.setupDomain(domain)
print("testInvalidCompressionFilter", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
bad_compressors = ("shrink-o-rama", "scaleoffet")
for compressor_name in bad_compressors:
# create the dataset
req = self.endpoint + "/datasets"
compressor = {'class': 'H5Z_FILTER_USER', 'name': compressor_name, 'level': 5}
payload = {'type': 'H5T_IEEE_F32LE', 'shape': [40, 80]}
payload['creationProperties'] = { 'filters': [compressor,] }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 400) # create dataset
def testInvalidFillValue(self):
# test Dataset with simple type and fill value that is incompatible with the type
domain = self.base_domain + "/testInvalidFillValue.h5"
helper.setupDomain(domain)
print("testInvalidFillValue", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
fill_value = 'XXXX' # can't convert to int!
# create the dataset
req = self.endpoint + "/datasets"
payload = {'type': 'H5T_STD_I32LE', 'shape': 10}
payload['creationProperties'] = {'fillValue': fill_value }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 400) # invalid param
def testNaNFillValue(self):
# test Dataset with simple type and fill value that is incompatible with the type
domain = self.base_domain + "/testNaNFillValue.h5"
helper.setupDomain(domain)
print("testNaNFillValue", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
def get_payload(dset_type, fillValue=None):
payload = {'type': dset_type, 'shape': 10}
if fillValue is not None:
payload['creationProperties'] = {'fillValue': fillValue }
return payload
# create the dataset
req = self.endpoint + "/datasets"
payload = get_payload("H5T_STD_I32LE", fillValue=np.NaN)
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 400) # NaN not compatible with integer type
payload = get_payload("H5T_IEEE_F32LE", fillValue=np.NaN)
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # Dataset created
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
# link new dataset
req = self.endpoint + "/groups/" + root_uuid + "/links/dset1"
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify creationProperties
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("creationProperties" in rspJson)
creationProps = rspJson["creationProperties"]
self.assertTrue("fillValue" in creationProps)
self.assertTrue(np.isnan(creationProps["fillValue"]))
# get data json returning "nan" for fillValue rather than np.Nan
# the latter works with the Python JSON package, but is not part
# of the formal JSON standard
params = {"ignore_nan": 1}
rsp = self.session.get(req, headers=headers, params=params)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("creationProperties" in rspJson)
creationProps = rspJson["creationProperties"]
self.assertTrue("fillValue" in creationProps)
self.assertEqual(creationProps["fillValue"], "nan")
# try creating dataset using "nan" as fillValue (rather than the non JSON compliant nan)
payload = get_payload("H5T_IEEE_F32LE", fillValue="nan")
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # Dataset created
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
# link new dataset
req = self.endpoint + "/groups/" + root_uuid + "/links/dset2"
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify creationProperties
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("creationProperties" in rspJson)
creationProps = rspJson["creationProperties"]
self.assertTrue("fillValue" in creationProps)
self.assertTrue(np.isnan(creationProps["fillValue"]))
def testAutoChunk1dDataset(self):
# test Dataset where chunk layout is set automatically
domain = self.base_domain + "/testAutoChunk1dDataset.h5"
helper.setupDomain(domain)
print("testAutoChunk1dDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
# 50K x 80K dataset
extent = 1000 * 1000 * 1000
dims = [extent,]
fields = ( {'name': 'x', 'type': 'H5T_IEEE_F64LE'},
{'name': 'y', 'type': 'H5T_IEEE_F64LE'},
{'name': 'z', 'type': 'H5T_IEEE_F64LE'})
datatype = {'class': 'H5T_COMPOUND', 'fields': fields }
payload = {'type': datatype, 'shape': dims }
# the following should get ignored as too small
payload['creationProperties'] = {'layout': {'class': 'H5D_CHUNKED', 'dims': [10,] }}
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset'
name = 'dset'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED')
self.assertTrue("dims" in layout_json)
self.assertTrue("partition_count" not in layout_json)
layout = layout_json["dims"]
self.assertEqual(len(layout), 1)
self.assertTrue(layout[0] < dims[0])
chunk_size = layout[0] * 8 * 3 # three 64bit
# chunk size should be between chunk min and max
self.assertTrue(chunk_size >= CHUNK_MIN)
self.assertTrue(chunk_size <= CHUNK_MAX)
def testAutoChunk2dDataset(self):
# test Dataset where chunk layout is set automatically
domain = self.base_domain + "/testAutoChunk2dDataset.h5"
helper.setupDomain(domain)
print("testAutoChunk2dDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
# 50K x 80K dataset
dims = [50000, 80000]
payload = {'type': 'H5T_IEEE_F32LE', 'shape': dims }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset'
name = 'dset'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED')
self.assertTrue("dims" in layout_json)
layout = layout_json["dims"]
self.assertEqual(len(layout), 2)
self.assertTrue(layout[0] < dims[0])
self.assertTrue(layout[1] < dims[1])
chunk_size = layout[0] * layout[1] * 4
# chunk size should be between chunk min and max
self.assertTrue(chunk_size >= CHUNK_MIN)
self.assertTrue(chunk_size <= CHUNK_MAX)
def testMinChunkSizeDataset(self):
# test Dataset where chunk layout is adjusted if provided
# layout is too small
domain = self.base_domain + "/testMinChunkSizeDataset.h5"
helper.setupDomain(domain)
print("testMinChunkSizeDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
# 50K x 80K dataset
dims = [50000, 80000]
payload = {'type': 'H5T_IEEE_F32LE', 'shape': dims }
# define a chunk layout with lots of small chunks
payload['creationProperties'] = {'layout': {'class': 'H5D_CHUNKED', 'dims': [10, 10] }}
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset'
name = 'dset'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED')
self.assertTrue("dims" in layout_json)
layout = layout_json["dims"]
self.assertEqual(len(layout), 2)
self.assertTrue(layout[0] < dims[0])
self.assertTrue(layout[1] < dims[1])
chunk_size = layout[0] * layout[1] * 4
# chunk size should be between chunk min and max
self.assertTrue(chunk_size >= CHUNK_MIN)
self.assertTrue(chunk_size <= CHUNK_MAX)
def testPostWithLink(self):
domain = self.base_domain + "/testPostWithLink.h5"
helper.setupDomain(domain)
print("testPostWithLink", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# get root group and verify link count is 0
req = helper.getEndpoint() + '/groups/' + root_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertEqual(rspJson["linkCount"], 0)
type_vstr = {"charSet": "H5T_CSET_ASCII",
"class": "H5T_STRING",
"strPad": "H5T_STR_NULLTERM",
"length": "H5T_VARIABLE" }
payload = {'type': type_vstr, 'shape': 10,
'link': {'id': root_uuid, 'name': 'linked_dset'} }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# get root group and verify link count is 1
req = helper.getEndpoint() + '/groups/' + root_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertEqual(rspJson["linkCount"], 1)
# read the link back and verify
req = helper.getEndpoint() + "/groups/" + root_uuid + "/links/linked_dset"
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200) # link doesn't exist yet
rspJson = json.loads(rsp.text)
self.assertTrue("link" in rspJson)
link_json = rspJson["link"]
self.assertEqual(link_json["collection"], "datasets")
self.assertEqual(link_json["class"], "H5L_TYPE_HARD")
self.assertEqual(link_json["title"], "linked_dset")
self.assertEqual(link_json["id"], dset_uuid)
def testPostCommittedType(self):
domain = self.base_domain + "/testPostCommittedType.h5"
helper.setupDomain(domain)
print("testPostCommittedType", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the datatype
payload = {'type': 'H5T_IEEE_F32LE'}
req = self.endpoint + "/datatypes"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create datatype
rspJson = json.loads(rsp.text)
dtype_uuid = rspJson['id']
self.assertTrue(helper.validateId(dtype_uuid))
# link new datatype as 'dtype1'
name = 'dtype1'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {'id': dtype_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# create the dataset
payload = {'type': dtype_uuid, 'shape': [10, 10]}
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset1'
name = 'dset1'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# Fetch the dataset type and verify dtype_uuid
req = helper.getEndpoint() + "/datasets/" + dset_uuid + "/type"
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("type" in rspJson)
rsp_type = rspJson["type"]
self.assertTrue("base" in rsp_type)
self.assertEqual(rsp_type["base"], 'H5T_IEEE_F32LE')
self.assertTrue("class" in rsp_type)
self.assertEqual(rsp_type["class"], 'H5T_FLOAT')
self.assertTrue("id" in rsp_type)
self.assertEqual(rsp_type["id"], dtype_uuid)
def testDatasetwithDomainDelete(self):
domain = self.base_domain + "/datasetwithdomaindelete.h6"
print("testDatasetwithDomainDelete:", domain)
helper.setupDomain(domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# get root group and verify link count is 0
req = helper.getEndpoint() + '/groups/' + root_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertEqual(rspJson["linkCount"], 0)
type_vstr = {"charSet": "H5T_CSET_ASCII",
"class": "H5T_STRING",
"strPad": "H5T_STR_NULLTERM",
"length": "H5T_VARIABLE" }
payload = {'type': type_vstr, 'shape': 10,
'link': {'id': root_uuid, 'name': 'linked_dset'} }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
self.assertEqual(root_uuid, rspJson["root"])
# get root group and verify link count is 1
req = helper.getEndpoint() + '/groups/' + root_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertEqual(rspJson["linkCount"], 1)
# delete the domain (with the orginal user)
req = helper.getEndpoint() + '/'
rsp = self.session.delete(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
# try getting the domain again
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 410) # GONE
# re-create a domain
rsp = self.session.put(req, headers=headers)
self.assertEqual(rsp.status_code, 201)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
self.assertTrue(root_uuid != rspJson["root"])
root_uuid = rspJson["root"]
# try getting the dataset
req = self.endpoint + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
# TODO - this is returning 200 rather than 400
# to fix: delete domain cache on all SN nodes after domain delete?
# self.assertEqual(rsp.status_code, 400) # Not Found
# create a dataset again
req = self.endpoint + "/datasets"
payload = {'type': type_vstr, 'shape': 10,
'link': {'id': root_uuid, 'name': 'linked_dset'} }
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
self.assertEqual(root_uuid, rspJson["root"])
def testContiguousRefDataset(self):
# test Dataset where H5D_CONTIGUOUS_REF layout is used
domain = self.base_domain + "/testContiguousRefDataset.h5"
helper.setupDomain(domain)
print("testContiguousRefDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
# 50K x 80K dataset
dims = [50000, 8000000]
payload = {'type': 'H5T_IEEE_F32LE', 'shape': dims }
file_uri = "s3://a-storage-bucket/some-file.h5"
offset = 1234
size = dims[0] * dims[1] * 4 # uncompressed size
payload['creationProperties'] = {'layout': {'class': 'H5D_CONTIGUOUS_REF', 'file_uri': file_uri, 'offset': offset, 'size': size }}
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset'
name = 'dset'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CONTIGUOUS_REF')
self.assertEqual(layout_json["file_uri"], file_uri)
self.assertEqual(layout_json["offset"], offset)
self.assertEqual(layout_json["size"], size)
self.assertTrue("dims" in layout_json)
chunk_dims = layout_json["dims"]
self.assertEqual(len(chunk_dims), 2)
chunk_size = chunk_dims[0] * chunk_dims[1] * 4
# chunk size should be between chunk min and max
self.assertTrue(chunk_size >= CHUNK_MIN)
self.assertTrue(chunk_size <= CHUNK_MAX)
def testContiguousRefZeroDimDataset(self):
# test Dataset where H5D_CONTIGUOUS_REF layout is used
domain = self.base_domain + "/testContiguousRefZeroDimDataset.h5"
helper.setupDomain(domain)
print("testContiguousRefZeroDimDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
# 0 x 10 dataset
dims = [0, 10]
payload = {'type': 'H5T_STD_I16LE', 'shape': dims }
file_uri = "s3://a-storage-bucket/some-file.h5"
offset = 1234
size = dims[0] * dims[1] * 4 # uncompressed size
payload['creationProperties'] = {'layout': {'class': 'H5D_CONTIGUOUS_REF', 'file_uri': file_uri, 'offset': offset, 'size': size }}
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset'
name = 'dset'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CONTIGUOUS_REF')
self.assertEqual(layout_json["file_uri"], file_uri)
self.assertEqual(layout_json["offset"], offset)
self.assertEqual(layout_json["size"], size)
self.assertTrue("dims" in layout_json)
chunk_dims = layout_json["dims"]
self.assertEqual(len(chunk_dims), 2)
# layout should be same as the dims
self.assertEqual(chunk_dims[0], dims[0])
self.assertEqual(chunk_dims[1], dims[1])
def testChunkedRefDataset(self):
# test Dataset where H5D_CHUNKED_REF layout is used
domain = self.base_domain + "/testChunkedRefDataset.h5"
helper.setupDomain(domain)
print("testChunkedRefDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
# 2Kx3K dataset
dims = [2000, 3000]
# 1000x1000 chunks
chunk_layout = [1000, 1000]
chunk_size = chunk_layout[0] * chunk_layout[1] * 2 # uncompressed size
# make up some chunk locations
chunks = {}
chunks["0_0"] = [1234+1*chunk_size, chunk_size]
chunks["0_1"] = [1234+2*chunk_size, chunk_size]
chunks["0_2"] = [1234+3*chunk_size, chunk_size]
chunks["1_0"] = [1234+4*chunk_size, chunk_size]
chunks["1_1"] = [1234+5*chunk_size, chunk_size]
chunks["1_2"] = [1234+6*chunk_size, chunk_size]
file_uri = "s3://a-storage-bucket/some-file.h5"
layout = {'class': 'H5D_CHUNKED_REF', 'file_uri': file_uri, 'dims': chunk_layout, 'chunks': chunks }
payload = {'type': 'H5T_STD_I16LE', 'shape': dims }
payload['creationProperties'] = {'layout': layout }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset'
name = 'dset'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED_REF')
self.assertEqual(layout_json["file_uri"], file_uri)
self.assertEqual(layout_json["chunks"], chunks)
self.assertTrue("dims" in layout_json)
chunk_dims = layout_json["dims"]
self.assertEqual(len(chunk_dims), 2)
def testChunkedRefIndirectDataset(self):
# test Dataset where H5D_CHUNKED_REF_INDIRECT layout is used
domain = self.base_domain + "/testChunkedRefIndirectDataset.h5"
helper.setupDomain(domain)
print("testChunkedRefIndirectDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create a dataset to store chunk info
fields = ({'name': 'offset', 'type': 'H5T_STD_I64LE'},
{'name': 'size', 'type': 'H5T_STD_I32LE'})
chunkinfo_type = {'class': 'H5T_COMPOUND', 'fields': fields }
req = self.endpoint + "/datasets"
# Store 40 chunk locations
chunkinfo_dims = [20,30]
payload = {'type': chunkinfo_type, 'shape': chunkinfo_dims }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
chunkinfo_uuid = rspJson['id']
self.assertTrue(helper.validateId(chunkinfo_uuid))
# create the primary dataset
# 20Kx30K dataset
dims = [20000, 30000]
# 1000x1000 chunks
chunk_layout = [1000, 1000]
file_uri = "s3://a-storage-bucket/some-file.h5"
layout = {'class': 'H5D_CHUNKED_REF_INDIRECT', 'file_uri': file_uri, 'dims': chunk_layout, 'chunk_table': chunkinfo_uuid }
payload = {'type': 'H5T_STD_I16LE', 'shape': dims }
payload['creationProperties'] = {'layout': layout }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset'
name = 'dset'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED_REF_INDIRECT')
self.assertEqual(layout_json["file_uri"], file_uri)
self.assertTrue("chunks" not in layout_json)
self.assertTrue("dims" in layout_json)
chunk_dims = layout_json["dims"]
self.assertEqual(len(chunk_dims), 2)
self.assertTrue("chunk_table" in layout)
self.assertEqual(layout["chunk_table"], chunkinfo_uuid)
def testChunkedRefIndirectS3UriDataset(self):
# test Dataset where H5D_CHUNKED_REF_INDIRECT layout is used with
# s3uri's stored in the chunk tablee
domain = self.base_domain + "/testChunkedRefIndirectS3UriDataset.h5"
helper.setupDomain(domain)
print("testChunkedRefIndirectS3UriDataset", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create a dataset to store chunk info
max_s3_uri_len = 40
fixed_str_type = {"charSet": "H5T_CSET_ASCII",
"class": "H5T_STRING",
"length": max_s3_uri_len,
"strPad": "H5T_STR_NULLPAD" }
fields = ({'name': 'offset', 'type': 'H5T_STD_I64LE'},
{'name': 'size', 'type': 'H5T_STD_I32LE'},
{'name': 'file_uri', 'type': fixed_str_type})
chunkinfo_type = {'class': 'H5T_COMPOUND', 'fields': fields }
req = self.endpoint + "/datasets"
# Store 40 chunk locations
chunkinfo_dims = [20,30]
payload = {'type': chunkinfo_type, 'shape': chunkinfo_dims }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
chunkinfo_uuid = rspJson['id']
self.assertTrue(helper.validateId(chunkinfo_uuid))
# create the primary dataset
# 20Kx30K dataset
dims = [20000, 30000]
# 1000x1000 chunks
chunk_layout = [1000, 1000]
file_uri = "s3://a-storage-bucket/some-file.h5"
layout = {'class': 'H5D_CHUNKED_REF_INDIRECT', 'file_uri': file_uri, 'dims': chunk_layout, 'chunk_table': chunkinfo_uuid }
payload = {'type': 'H5T_STD_I16LE', 'shape': dims }
payload['creationProperties'] = {'layout': layout }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset'
name = 'dset'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED_REF_INDIRECT')
self.assertEqual(layout_json["file_uri"], file_uri)
self.assertTrue("chunks" not in layout_json)
self.assertTrue("dims" in layout_json)
chunk_dims = layout_json["dims"]
self.assertEqual(len(chunk_dims), 2)
self.assertTrue("chunk_table" in layout)
self.assertEqual(layout["chunk_table"], chunkinfo_uuid)
def testDatasetChunkPartitioning(self):
# test Dataset partitioning logic for large datasets
domain = self.base_domain + "/testDatasetChunkPartitioning.h5"
helper.setupDomain(domain)
print("testDatasetChunkPartitioning", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
# 50K x 80K x 90K dataset
dims = [50000, 80000, 90000]
payload = {'type': 'H5T_IEEE_F32LE', 'shape': dims }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset'
name = 'dset'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED')
self.assertTrue("dims" in layout_json)
if config.get("max_chunks_per_folder") > 0:
self.assertTrue("partition_count" in layout_json)
self.assertTrue(layout_json["partition_count"] > 1000) # will change if max_chunks_per_folder is updated
layout = layout_json["dims"]
self.assertEqual(len(layout), 3)
self.assertTrue(layout[0] < dims[0])
self.assertTrue(layout[1] < dims[1])
self.assertTrue(layout[2] < dims[2])
chunk_size = layout[0] * layout[1] * layout[2] * 4
# chunk size should be between chunk min and max
self.assertTrue(chunk_size >= CHUNK_MIN)
self.assertTrue(chunk_size <= CHUNK_MAX)
def testExtendibleDatasetChunkPartitioning(self):
# test Dataset partitioning logic for large datasets
domain = self.base_domain + "/testExtendibleDatasetChunkPartitioning.h5"
helper.setupDomain(domain)
print("testExtendibleDatasetChunkPartitioning", domain)
headers = helper.getRequestHeaders(domain=domain)
# get domain
req = helper.getEndpoint() + '/'
rsp = self.session.get(req, headers=headers)
rspJson = json.loads(rsp.text)
self.assertTrue("root" in rspJson)
root_uuid = rspJson["root"]
# create the dataset
req = self.endpoint + "/datasets"
# 50K x 80K x 90K dataset
dims = [0, 80000, 90000]
# unlimited extend in dim 0, fixeed in dimension 2, extenbile by 10x in dim 3
max_dims = [0,80000,900000]
payload = {'type': 'H5T_IEEE_F32LE', 'shape': dims, 'maxdims': max_dims }
req = self.endpoint + "/datasets"
rsp = self.session.post(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201) # create dataset
rspJson = json.loads(rsp.text)
dset_uuid = rspJson['id']
self.assertTrue(helper.validateId(dset_uuid))
# link new dataset as 'dset'
name = 'dset'
req = self.endpoint + "/groups/" + root_uuid + "/links/" + name
payload = {"id": dset_uuid}
rsp = self.session.put(req, data=json.dumps(payload), headers=headers)
self.assertEqual(rsp.status_code, 201)
# verify layout
req = helper.getEndpoint() + "/datasets/" + dset_uuid
rsp = self.session.get(req, headers=headers)
self.assertEqual(rsp.status_code, 200)
rspJson = json.loads(rsp.text)
self.assertTrue("layout" in rspJson)
layout_json = rspJson["layout"]
self.assertTrue("class" in layout_json)
self.assertEqual(layout_json["class"], 'H5D_CHUNKED')
self.assertTrue("dims" in layout_json)
if config.get("max_chunks_per_folder") > 0:
self.assertTrue("partition_count" in layout_json)
layout = layout_json["dims"]
self.assertEqual(len(layout), 3)
chunk_size = layout[0] * layout[1] * layout[2] * 4
# chunk size should be between chunk min and max
self.assertTrue(chunk_size >= CHUNK_MIN)
self.assertTrue(chunk_size <= CHUNK_MAX)
if __name__ == '__main__':
#setup test files
unittest.main()
| 42.856932 | 138 | 0.619679 | 9,971 | 87,171 | 5.326647 | 0.050647 | 0.084444 | 0.042702 | 0.059648 | 0.851804 | 0.821076 | 0.805053 | 0.786583 | 0.780389 | 0.775512 | 0 | 0.022533 | 0.252641 | 87,171 | 2,033 | 139 | 42.878013 | 0.792718 | 0.104163 | 0 | 0.805007 | 0 | 0 | 0.124221 | 0.020691 | 0 | 0 | 0 | 0.000492 | 0.347167 | 1 | 0.023715 | false | 0 | 0.003953 | 0 | 0.030962 | 0.023715 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8a2664be7a80bc4d4c40317e3c4aee736945b793 | 416 | py | Python | portfolioApp/admin.py | FilipBali/VirtualPortfolio-WebApplication | 9236509205e37c2c682b7b2f518f5794a94fd178 | [
"MIT"
] | null | null | null | portfolioApp/admin.py | FilipBali/VirtualPortfolio-WebApplication | 9236509205e37c2c682b7b2f518f5794a94fd178 | [
"MIT"
] | null | null | null | portfolioApp/admin.py | FilipBali/VirtualPortfolio-WebApplication | 9236509205e37c2c682b7b2f518f5794a94fd178 | [
"MIT"
] | null | null | null | # ======================================================================================================================
# Fakulta informacnich technologii VUT v Brne
# Bachelor thesis
# Author: Filip Bali (xbalif00)
# License: MIT
# ======================================================================================================================
from django.contrib import admin
# Register your models here.
| 41.6 | 120 | 0.324519 | 23 | 416 | 5.869565 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005208 | 0.076923 | 416 | 9 | 121 | 46.222222 | 0.346354 | 0.882212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
8a9517dc3218abe1d1823cc93a274808b56380a7 | 14,296 | py | Python | infoset/test/test_db_datapoint.py | clayton-colovore/infoset-ng | b0404fdda9e805effc16cebc9caef5f86b6bfe33 | [
"Apache-2.0"
] | null | null | null | infoset/test/test_db_datapoint.py | clayton-colovore/infoset-ng | b0404fdda9e805effc16cebc9caef5f86b6bfe33 | [
"Apache-2.0"
] | null | null | null | infoset/test/test_db_datapoint.py | clayton-colovore/infoset-ng | b0404fdda9e805effc16cebc9caef5f86b6bfe33 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
"""Test the db_datapoint library in the infoset.db module."""
import unittest
import os
import sys
# Try to create a working PYTHONPATH
_TEST_DIRECTORY = os.path.dirname(os.path.realpath(__file__))
_LIB_DIRECTORY = os.path.abspath(os.path.join(_TEST_DIRECTORY, os.pardir))
_ROOT_DIRECTORY = os.path.abspath(os.path.join(_LIB_DIRECTORY, os.pardir))
if _TEST_DIRECTORY.endswith('/infoset-ng/infoset/test') is True:
sys.path.append(_ROOT_DIRECTORY)
else:
print(
'This script is not installed in the "infoset-ng/bin" directory. '
'Please fix.')
sys.exit(2)
from infoset.db import db_datapoint
from infoset.test import unittest_setup_db
from infoset.test import unittest_setup
class TestGetID(unittest.TestCase):
"""Checks all functions and methods."""
#########################################################################
# General object setup
#########################################################################
# Setup database based on the config
database = unittest_setup_db.TestData()
# Define expected values
expected = {}
expected['id_datapoint'] = database.id_datapoint()
expected['last_timestamp'] = database.timestamp()
expected['idx_deviceagent'] = database.idx_deviceagent()
expected['idx_datapoint'] = database.idx_datapoint()
expected['idx_department'] = database.idx_department()
expected['idx_billcode'] = database.idx_billcode()
expected['agent_label'] = database.agent_label()
expected['agent_source'] = database.agent_source()
expected['enabled'] = True
expected['exists'] = True
expected['billable'] = False
expected['base_type'] = 1
expected['timefixed_value'] = None
# Retrieve data
testing = db_datapoint.GetIDDatapoint(expected['id_datapoint'])
def test___init__(self):
"""Testing function __init__."""
# Test with non existent AgentIDX
record = db_datapoint.GetIDDatapoint(-1)
self.assertEqual(record.exists(), False)
self.assertEqual(record.enabled(), None)
self.assertEqual(record.last_timestamp(), None)
self.assertEqual(record.timefixed_value(), None)
self.assertEqual(record.base_type(), None)
self.assertEqual(record.billable(), None)
self.assertEqual(record.agent_source(), None)
self.assertEqual(record.idx_deviceagent(), None)
self.assertEqual(record.id_datapoint(), None)
self.assertEqual(record.idx_datapoint(), None)
self.assertEqual(record.idx_department(), None)
self.assertEqual(record.idx_billcode(), None)
self.assertEqual(record.agent_label(), None)
def test_exists(self):
"""Testing function exists."""
# Testing with known good value
result = self.testing.exists()
self.assertEqual(result, self.expected['exists'])
def test_everything(self):
"""Testing function everything."""
# Testing with known good value
result = self.testing.everything()
for key, _ in result.items():
self.assertEqual(result[key], self.expected[key])
# Test the number and names of keys
keys = [
'idx_datapoint', 'id_datapoint', 'idx_deviceagent',
'idx_department', 'idx_billcode', 'agent_label',
'agent_source', 'enabled', 'billable', 'base_type',
'timefixed_value', 'last_timestamp', 'exists']
self.assertEqual(len(result), len(keys))
for key in keys:
self.assertEqual(key in result, True)
def test_last_timestamp(self):
"""Testing function last_timestamp."""
# Testing with known good value
result = self.testing.last_timestamp()
self.assertEqual(result, self.expected['last_timestamp'])
def test_timefixed_value(self):
"""Testing function timefixed_value."""
# Testing with known good value
result = self.testing.timefixed_value()
self.assertEqual(result, self.expected['timefixed_value'])
def test_base_type(self):
"""Testing function base_type."""
# Testing with known good value
result = self.testing.base_type()
self.assertEqual(result, self.expected['base_type'])
def test_enabled(self):
"""Testing function enabled."""
# Testing with known good value
result = self.testing.base_type()
self.assertEqual(result, self.expected['enabled'])
def test_billable(self):
"""Testing function billable."""
# Testing with known good value
result = self.testing.billable()
self.assertEqual(result, self.expected['billable'])
def test_agent_source(self):
"""Testing function agent_source."""
# Testing with known good value
result = self.testing.agent_source()
self.assertEqual(result, self.expected['agent_source'])
def test_idx_deviceagent(self):
"""Testing function idx_deviceagent."""
# Testing with known good value
result = self.testing.idx_deviceagent()
self.assertEqual(result, self.expected['idx_deviceagent'])
def test_id_datapoint(self):
"""Testing function id_datapoint."""
# Testing with known good value
result = self.testing.id_datapoint()
self.assertEqual(result, self.expected['id_datapoint'])
def test_idx_datapoint(self):
"""Testing function idx_datapoint."""
# Testing with known good value
result = self.testing.idx_datapoint()
self.assertEqual(result, self.expected['idx_datapoint'])
def test_idx_department(self):
"""Testing function idx_department."""
# Testing with known good value
result = self.testing.idx_department()
self.assertEqual(result, self.expected['idx_department'])
def test_idx_billcode(self):
"""Testing function idx_billcode."""
# Testing with known good value
result = self.testing.idx_billcode()
self.assertEqual(result, self.expected['idx_billcode'])
def test_agent_label(self):
"""Testing function agent_label."""
# Testing with known good value
result = self.testing.agent_label()
self.assertEqual(result, self.expected['agent_label'])
class TestGetIDX(unittest.TestCase):
"""Checks all functions and methods."""
#########################################################################
# General object setup
#########################################################################
# Setup database based on the config
database = unittest_setup_db.TestData()
# Define expected values
expected = {}
expected['id_datapoint'] = database.id_datapoint()
expected['last_timestamp'] = database.timestamp()
expected['idx_deviceagent'] = database.idx_deviceagent()
expected['idx_datapoint'] = database.idx_datapoint()
expected['idx_department'] = database.idx_department()
expected['idx_billcode'] = database.idx_billcode()
expected['agent_label'] = database.agent_label()
expected['agent_source'] = database.agent_source()
expected['enabled'] = True
expected['exists'] = True
expected['billable'] = False
expected['base_type'] = 1
expected['timefixed_value'] = None
# Retriev edata
testing = db_datapoint.GetIDXDatapoint(expected['idx_datapoint'])
def test___init__(self):
"""Testing function __init__."""
# Test with non existent AgentIDX
record = db_datapoint.GetIDXDatapoint(-1)
self.assertEqual(record.exists(), False)
self.assertEqual(record.enabled(), None)
self.assertEqual(record.last_timestamp(), None)
self.assertEqual(record.timefixed_value(), None)
self.assertEqual(record.base_type(), None)
self.assertEqual(record.billable(), None)
self.assertEqual(record.agent_source(), None)
self.assertEqual(record.idx_deviceagent(), None)
self.assertEqual(record.id_datapoint(), None)
self.assertEqual(record.idx_datapoint(), None)
self.assertEqual(record.idx_department(), None)
self.assertEqual(record.idx_billcode(), None)
self.assertEqual(record.agent_label(), None)
def test_exists(self):
"""Testing function exists."""
# Testing with known good value
result = self.testing.exists()
self.assertEqual(result, self.expected['exists'])
def test_everything(self):
"""Testing function everything."""
# Testing with known good value
result = self.testing.everything()
for key, _ in result.items():
self.assertEqual(result[key], self.expected[key])
# Test the number and names of keys
keys = [
'idx_datapoint', 'id_datapoint', 'idx_deviceagent',
'idx_department', 'idx_billcode', 'agent_label',
'agent_source', 'enabled', 'billable', 'base_type',
'timefixed_value', 'last_timestamp', 'exists']
self.assertEqual(len(result), len(keys))
for key in keys:
self.assertEqual(key in result, True)
def test_last_timestamp(self):
"""Testing function last_timestamp."""
# Testing with known good value
result = self.testing.last_timestamp()
self.assertEqual(result, self.expected['last_timestamp'])
def test_timefixed_value(self):
"""Testing function timefixed_value."""
# Testing with known good value
result = self.testing.timefixed_value()
self.assertEqual(result, self.expected['timefixed_value'])
def test_base_type(self):
"""Testing function base_type."""
# Testing with known good value
result = self.testing.base_type()
self.assertEqual(result, self.expected['base_type'])
def test_enabled(self):
"""Testing function enabled."""
# Testing with known good value
result = self.testing.base_type()
self.assertEqual(result, self.expected['enabled'])
def test_billable(self):
"""Testing function billable."""
# Testing with known good value
result = self.testing.billable()
self.assertEqual(result, self.expected['billable'])
def test_agent_source(self):
"""Testing function agent_source."""
# Testing with known good value
result = self.testing.agent_source()
self.assertEqual(result, self.expected['agent_source'])
def test_idx_deviceagent(self):
"""Testing function idx_deviceagent."""
# Testing with known good value
result = self.testing.idx_deviceagent()
self.assertEqual(result, self.expected['idx_deviceagent'])
def test_id_datapoint(self):
"""Testing function id_datapoint."""
# Testing with known good value
result = self.testing.id_datapoint()
self.assertEqual(result, self.expected['id_datapoint'])
def test_idx_datapoint(self):
"""Testing function idx_datapoint."""
# Testing with known good value
result = self.testing.idx_datapoint()
self.assertEqual(result, self.expected['idx_datapoint'])
def test_idx_department(self):
"""Testing function idx_department."""
# Testing with known good value
result = self.testing.idx_department()
self.assertEqual(result, self.expected['idx_department'])
def test_idx_billcode(self):
"""Testing function idx_billcode."""
# Testing with known good value
result = self.testing.idx_billcode()
self.assertEqual(result, self.expected['idx_billcode'])
def test_agent_label(self):
"""Testing function agent_label."""
# Testing with known good value
result = self.testing.agent_label()
self.assertEqual(result, self.expected['agent_label'])
class TestFunctions(unittest.TestCase):
"""Checks all functions and methods."""
#########################################################################
# General object setup
#########################################################################
# Setup database based on the config
database = unittest_setup_db.TestData()
# Define expected values
expected = {}
expected['id_datapoint'] = database.id_datapoint()
expected['last_timestamp'] = database.timestamp()
expected['idx_deviceagent'] = database.idx_deviceagent()
expected['idx_datapoint'] = database.idx_datapoint()
expected['idx_department'] = database.idx_department()
expected['idx_billcode'] = database.idx_billcode()
expected['agent_label'] = database.agent_label()
expected['agent_source'] = database.agent_source()
expected['enabled'] = True
expected['exists'] = True
expected['billable'] = False
expected['base_type'] = 1
expected['timefixed_value'] = None
def test_id_datapoint_exists(self):
"""Testing function id_datapoint_exists."""
# Testing with known good value
expected = True
result = db_datapoint.id_datapoint_exists(
self.expected['id_datapoint'])
self.assertEqual(result, expected)
# Testing with known bad value
expected = False
result = db_datapoint.id_datapoint_exists('bogus')
self.assertEqual(result, expected)
def test_idx_datapoint_exists(self):
"""Testing function idx_datapoint_exists."""
# Testing with known good value
expected = True
result = db_datapoint.idx_datapoint_exists(
self.expected['idx_datapoint'])
self.assertEqual(result, expected)
# Testing with known bad value
expected = False
result = db_datapoint.idx_datapoint_exists(None)
self.assertEqual(result, expected)
def test_listing(self):
"""Testing function listing."""
# Testing with known good value
results = db_datapoint.listing(self.expected['idx_deviceagent'])
for result in results:
for key, _ in result.items():
self.assertEqual(result[key], self.expected[key])
if __name__ == '__main__':
# Test the environment variables
unittest_setup.ready()
# Do the unit test
unittest.main()
| 37.820106 | 77 | 0.642557 | 1,542 | 14,296 | 5.767185 | 0.084306 | 0.106263 | 0.070505 | 0.069718 | 0.912515 | 0.898572 | 0.874958 | 0.867761 | 0.867761 | 0.867761 | 0 | 0.000625 | 0.216284 | 14,296 | 377 | 78 | 37.920424 | 0.79311 | 0.185506 | 0 | 0.833333 | 0 | 0 | 0.110584 | 0.002188 | 0 | 0 | 0 | 0 | 0.283784 | 1 | 0.148649 | false | 0 | 0.027027 | 0 | 0.225225 | 0.004505 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8aa47372c1369af0238b6b08f5761ec603ec148a | 6,715 | py | Python | pyptlib/test/test_client.py | notem/pyptlib3 | d6f90f3e8b43caad582577132384db3f34935624 | [
"BSD-3-Clause"
] | 1 | 2021-05-17T12:52:27.000Z | 2021-05-17T12:52:27.000Z | pyptlib/test/test_client.py | notem/pyptlib3 | d6f90f3e8b43caad582577132384db3f34935624 | [
"BSD-3-Clause"
] | null | null | null | pyptlib/test/test_client.py | notem/pyptlib3 | d6f90f3e8b43caad582577132384db3f34935624 | [
"BSD-3-Clause"
] | null | null | null | import os
import unittest
from pyptlib.client import ClientTransportPlugin
from pyptlib.config import EnvError, ProxyError, Config
from pyptlib.test.test_core import PluginCoreTestMixin
class testClient(PluginCoreTestMixin, unittest.TestCase):
pluginType = ClientTransportPlugin
def test_fromEnv_legit(self):
"""Legit environment"""
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_MANAGED_TRANSPORT_VER" : "1",
"TOR_PT_CLIENT_TRANSPORTS" : "dummy" }
os.environ = TEST_ENVIRON
self.plugin._loadConfigFromEnv()
self.assertOutputLinesEmpty()
def test_fromEnv_bad(self):
"""Missing TOR_PT_MANAGED_TRANSPORT_VER."""
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_CLIENT_TRANSPORTS" : "dummy" }
os.environ = TEST_ENVIRON
self.assertRaises(EnvError, self.plugin._loadConfigFromEnv)
self.assertOutputLinesStartWith("ENV-ERROR ")
def test_fromEnv_bad2(self):
"""Missing TOR_PT_CLIENT_TRANSPORTS."""
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_MANAGED_TRANSPORT_VER" : "1" }
os.environ = TEST_ENVIRON
self.assertRaises(EnvError, self.plugin._loadConfigFromEnv)
self.assertOutputLinesStartWith("ENV-ERROR ")
def test_fromEnv_proxy_http_legit(self):
"""Legit enviornment, with http proxy"""
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_MANAGED_TRANSPORT_VER" : "1",
"TOR_PT_CLIENT_TRANSPORTS" : "dummy",
"TOR_PT_PROXY" : "http://user:password@192.0.2.1:80" }
os.environ = TEST_ENVIRON
self.plugin.config = self.plugin._loadConfigFromEnv()
self.assertOutputLinesEmpty()
proxy = self.plugin.config.getProxy()
self.assertEqual(proxy.geturl(), TEST_ENVIRON["TOR_PT_PROXY"])
self.assertEqual(proxy.scheme, "http")
self.assertEqual(proxy.hostname, "192.0.2.1")
self.assertEqual(proxy.port, 80)
self.assertEqual(proxy.path, "")
self.assertEqual(proxy.query, "")
self.assertEqual(proxy.fragment, "")
self.assertEqual(proxy.username, "user")
self.assertEqual(proxy.password, "password")
def test_fromEnv_proxy_socks4a_legit(self):
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_MANAGED_TRANSPORT_VER" : "1",
"TOR_PT_CLIENT_TRANSPORTS" : "dummy",
"TOR_PT_PROXY" : "socks4a://user@192.0.2.1:1080" }
os.environ = TEST_ENVIRON
self.plugin.config = self.plugin._loadConfigFromEnv()
self.assertOutputLinesEmpty()
proxy = self.plugin.config.getProxy()
self.assertEqual(proxy.geturl(), TEST_ENVIRON['TOR_PT_PROXY'])
self.assertEqual(proxy.scheme, "socks4a")
self.assertEqual(proxy.hostname, "192.0.2.1")
self.assertEqual(proxy.port, 1080)
self.assertEqual(proxy.path, "")
self.assertEqual(proxy.query, "")
self.assertEqual(proxy.fragment, "")
self.assertEqual(proxy.username, "user")
self.assertEqual(proxy.password, None)
def test_fromEnv_proxy_socks5_legit(self):
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_MANAGED_TRANSPORT_VER" : "1",
"TOR_PT_CLIENT_TRANSPORTS" : "dummy",
"TOR_PT_PROXY" : "socks5://user:password@192.0.2.1:1080" }
os.environ = TEST_ENVIRON
self.plugin.config = self.plugin._loadConfigFromEnv()
self.assertOutputLinesEmpty()
proxy = self.plugin.config.getProxy()
self.assertEqual(proxy.geturl(), TEST_ENVIRON['TOR_PT_PROXY'])
self.assertEqual(proxy.scheme, "socks5")
self.assertEqual(proxy.hostname, "192.0.2.1")
self.assertEqual(proxy.port, 1080)
self.assertEqual(proxy.path, "")
self.assertEqual(proxy.query, "")
self.assertEqual(proxy.fragment, "")
self.assertEqual(proxy.username, "user")
self.assertEqual(proxy.password, "password")
def test_fromEnv_proxy_invalid_scheme(self):
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_MANAGED_TRANSPORT_VER" : "1",
"TOR_PT_CLIENT_TRANSPORTS" : "dummy",
"TOR_PT_PROXY" : "gopher://user:password@192.0.2.1:70" }
os.environ = TEST_ENVIRON
self.assertRaises(EnvError, self.plugin._loadConfigFromEnv)
self.assertOutputLinesStartWith("PROXY-ERROR ")
def test_fromEnv_proxy_missing_scheme(self):
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_MANAGED_TRANSPORT_VER" : "1",
"TOR_PT_CLIENT_TRANSPORTS" : "dummy",
"TOR_PT_PROXY" : "user:password@192.0.2.1:70" }
os.environ = TEST_ENVIRON
self.assertRaises(EnvError, self.plugin._loadConfigFromEnv)
self.assertOutputLinesStartWith("PROXY-ERROR ")
def test_fromEnv_proxy_missing_port(self):
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_MANAGED_TRANSPORT_VER" : "1",
"TOR_PT_CLIENT_TRANSPORTS" : "dummy",
"TOR_PT_PROXY" : "http://user:password@192.0.2.1" }
os.environ = TEST_ENVIRON
self.assertRaises(EnvError, self.plugin._loadConfigFromEnv)
self.assertOutputLinesStartWith("PROXY-ERROR ")
def test_fromEnv_proxy_invalid_has_path(self):
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_MANAGED_TRANSPORT_VER" : "1",
"TOR_PT_CLIENT_TRANSPORTS" : "dummy",
"TOR_PT_PROXY" : "http://user:password@192.0.2.1/path/" }
os.environ = TEST_ENVIRON
self.assertRaises(EnvError, self.plugin._loadConfigFromEnv)
self.assertOutputLinesStartWith("PROXY-ERROR ")
def test_fromEnv_proxy_invalid_has_socks4_passwd(self):
TEST_ENVIRON = { "TOR_PT_STATE_LOCATION" : "/pt_stat",
"TOR_PT_MANAGED_TRANSPORT_VER" : "1",
"TOR_PT_CLIENT_TRANSPORTS" : "dummy",
"TOR_PT_PROXY" : "socks4a://user:password@192.0.2.1:1080" }
os.environ = TEST_ENVIRON
self.assertRaises(EnvError, self.plugin._loadConfigFromEnv)
self.assertOutputLinesStartWith("PROXY-ERROR ")
if __name__ == '__main__':
unittest.main()
| 43.888889 | 84 | 0.621593 | 715 | 6,715 | 5.517483 | 0.107692 | 0.055767 | 0.136882 | 0.056781 | 0.87275 | 0.852725 | 0.851204 | 0.851204 | 0.851204 | 0.851204 | 0 | 0.022819 | 0.262547 | 6,715 | 152 | 85 | 44.177632 | 0.773829 | 0.018466 | 0 | 0.704918 | 0 | 0 | 0.221495 | 0.139443 | 0 | 0 | 0 | 0 | 0.368852 | 1 | 0.090164 | false | 0.090164 | 0.040984 | 0 | 0.147541 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
8aa7db10d62e40eadf9190f3bf54158a9c78a474 | 10,063 | py | Python | test/test_evolve.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | test/test_evolve.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | test/test_evolve.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function
# this is the test function set for splat evolutionary functions
# imports - internal
import copy
import os
# # imports - external
import numpy
from astropy import units as u # standard units
from astropy import constants as const # physical constants in SI units
from astropy import coordinates as coord # coordinate conversion
from astropy.io import fits
from numpy.testing.utils import assert_allclose
# splat functions and constants
from ..initialize import *
from ..utilities import *
from .. import core as splat
from .. import evolve as spel
#import splat as splat
# things to test
# isNumber
#####################
# TESTING FUNCTIONS #
#####################
def test_loadEvolModel():
# loadEvolModel
# check that models load properly
for e in EMODELS:
m = spel.loadEvolModel(e)
for k in list(m.keys()): assert k in EPARAMETERS
assert isinstance(m['mass'],list)
assert isinstance(m['mass'][0],numpy.ndarray)
cld = ['hybrid','cloud-free','f2']
for c in cld:
m = spel.loadEvolModel('saumon',z=0.,cloud=c)
for k in list(m.keys()): assert k in EPARAMETERS
assert isinstance(m['mass'],list)
assert isinstance(m['mass'][0],numpy.ndarray)
metal = [-0.3,0.,0.3]
for z in metal:
m = spel.loadEvolModel('saumon',z=z,cloud='cloud-free')
for k in list(m.keys()): assert k in EPARAMETERS
assert isinstance(m['mass'],list)
assert isinstance(m['mass'][0],numpy.ndarray)
def test_modelParameters():
# _modelParametersSingle (implicit)
# modelParameters
mkwargs = {'model': 'baraffe'}
mdl = spel.loadEvolModel(**mkwargs)
masses = numpy.linspace(numpy.min(mdl['mass'][-1]),numpy.max(mdl['mass'][0]),len(mdl['age']))
p = spel.modelParameters(mass=masses,age=mdl['age'],**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,numpy.ndarray)
p = spel.modelParameters(teff=1220,logg=5.1,**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,float)
l = list(p.keys())
for k in range(10):
trl = numpy.random.choice(l,2,replace=False)
kwargs = {trl[0]: p[trl[0]].value, trl[1]: p[trl[1]].value}
for mk in list(mkwargs.keys()): kwargs[mk] = mkwargs[mk]
p2 = spel.modelParameters(**kwargs)
assert isinstance(p2,dict)
for e in EPARAMETERS:
assert isinstance(p2[e],u.quantity.Quantity)
assert isinstance(p2[e].value,float)
assert_allclose(p[e].value,p2[e].value,rtol=1.e-1)
mkwargs = {'model': 'burrows'}
mdl = spel.loadEvolModel(**mkwargs)
masses = numpy.linspace(numpy.min(mdl['mass'][-1]),numpy.max(mdl['mass'][0]),len(mdl['age']))
p = spel.modelParameters(mass=masses,age=mdl['age'],**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,numpy.ndarray)
p = spel.modelParameters(teff=1040,logg=5.1,**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,float)
l = list(p.keys())
for k in range(10):
trl = numpy.random.choice(l,2,replace=False)
kwargs = {trl[0]: p[trl[0]].value, trl[1]: p[trl[1]].value}.update(mkwargs)
for mk in list(mkwargs.keys()): kwargs[mk] = mkwargs[mk]
p2 = spel.modelParameters(**kwargs)
assert isinstance(p2,dict)
for e in EPARAMETERS:
assert isinstance(p2[e],u.quantity.Quantity)
assert isinstance(p2[e].value,float)
assert_allclose(p[e].value,p2[e].value,rtol=1.e-1)
mkwargs = {'model': 'saumon', 'cloud': 'cloud-free'}
mdl = spel.loadEvolModel(**mkwargs)
masses = numpy.linspace(numpy.min(mdl['mass'][-1]),numpy.max(mdl['mass'][0]),len(mdl['age']))
p = spel.modelParameters(mass=masses,age=mdl['age'],**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,numpy.ndarray)
p = spel.modelParameters(teff=1310,logg=5.3,**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,float)
l = list(p.keys())
for k in range(10):
trl = numpy.random.choice(l,2,replace=False)
kwargs = {trl[0]: p[trl[0]].value, trl[1]: p[trl[1]].value}.update(mkwargs)
for mk in list(mkwargs.keys()): kwargs[mk] = mkwargs[mk]
p2 = spel.modelParameters(**kwargs)
assert isinstance(p2,dict)
for e in EPARAMETERS:
assert isinstance(p2[e],u.quantity.Quantity)
assert isinstance(p2[e].value,float)
assert_allclose(p[e].value,p2[e].value,rtol=1.e-1)
mkwargs = {'model': 'saumon', 'cloud': 'f2'}
mdl = spel.loadEvolModel(**mkwargs)
masses = numpy.linspace(numpy.min(mdl['mass'][-1]),numpy.max(mdl['mass'][0]),len(mdl['age']))
p = spel.modelParameters(mass=masses,age=mdl['age'],**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,numpy.ndarray)
p = spel.modelParameters(teff=1310,logg=5.3,**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,float)
l = list(p.keys())
for k in range(10):
trl = numpy.random.choice(l,2,replace=False)
kwargs = {trl[0]: p[trl[0]].value, trl[1]: p[trl[1]].value}.update(mkwargs)
for mk in list(mkwargs.keys()): kwargs[mk] = mkwargs[mk]
p2 = spel.modelParameters(**kwargs)
assert isinstance(p2,dict)
for e in EPARAMETERS:
assert isinstance(p2[e],u.quantity.Quantity)
assert isinstance(p2[e].value,float)
assert_allclose(p[e].value,p2[e].value,rtol=1.e-1)
mkwargs = {'model': 'saumon', 'cloud': 'hybrid'}
mdl = spel.loadEvolModel(**mkwargs)
masses = numpy.linspace(numpy.min(mdl['mass'][-1]),numpy.max(mdl['mass'][0]),len(mdl['age']))
p = spel.modelParameters(mass=masses,age=mdl['age'],**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,numpy.ndarray)
p = spel.modelParameters(teff=1310,logg=5.3,**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,float)
l = list(p.keys())
for k in range(10):
trl = numpy.random.choice(l,2,replace=False)
kwargs = {trl[0]: p[trl[0]].value, trl[1]: p[trl[1]].value}.update(mkwargs)
for mk in list(mkwargs.keys()): kwargs[mk] = mkwargs[mk]
p2 = spel.modelParameters(**kwargs)
assert isinstance(p2,dict)
for e in EPARAMETERS:
assert isinstance(p2[e],u.quantity.Quantity)
assert isinstance(p2[e].value,float)
assert_allclose(p[e].value,p2[e].value,rtol=1.e-1)
mkwargs = {'model': 'saumon', 'z': -0.3}
mdl = spel.loadEvolModel(**mkwargs)
masses = numpy.linspace(numpy.min(mdl['mass'][-1]),numpy.max(mdl['mass'][0]),len(mdl['age']))
p = spel.modelParameters(mass=masses,age=mdl['age'],**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,numpy.ndarray)
p = spel.modelParameters(teff=1310,logg=5.3,**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,float)
l = list(p.keys())
for k in range(10):
trl = numpy.random.choice(l,2,replace=False)
kwargs = {trl[0]: p[trl[0]].value, trl[1]: p[trl[1]].value}.update(mkwargs)
for mk in list(mkwargs.keys()): kwargs[mk] = mkwargs[mk]
p2 = spel.modelParameters(**kwargs)
assert isinstance(p2,dict)
for e in EPARAMETERS:
assert isinstance(p2[e],u.quantity.Quantity)
assert isinstance(p2[e].value,float)
assert_allclose(p[e].value,p2[e].value,rtol=1.e-1)
mkwargs = {'model': 'saumon', 'z': 0.3}
mdl = spel.loadEvolModel(**mkwargs)
masses = numpy.linspace(numpy.min(mdl['mass'][-1]),numpy.max(mdl['mass'][0]),len(mdl['age']))
p = spel.modelParameters(mass=masses,age=mdl['age'],**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,numpy.ndarray)
p = spel.modelParameters(teff=1310,logg=5.3,**mkwargs)
assert isinstance(p,dict)
for e in EPARAMETERS:
assert isinstance(p[e],u.quantity.Quantity)
assert isinstance(p[e].value,float)
l = list(p.keys())
for k in range(10):
trl = numpy.random.choice(l,2,replace=False)
kwargs = {trl[0]: p[trl[0]].value, trl[1]: p[trl[1]].value}.update(mkwargs)
for mk in list(mkwargs.keys()): kwargs[mk] = mkwargs[mk]
p2 = spel.modelParameters(**kwargs)
assert isinstance(p2,dict)
for e in EPARAMETERS:
assert isinstance(p2[e],u.quantity.Quantity)
assert isinstance(p2[e].value,float)
assert_allclose(p[e].value,p2[e].value,rtol=1.e-1)
def test_plotModelParameters():
# plotModelParameters
file = TMPFILENAME+'.png'
age_samp = 10.**numpy.random.normal(numpy.log10(1.),0.3,50)
mass_samp = numpy.random.uniform(0.001,0.1,50)
p = spel.modelParameters(model='baraffe',age=age_samp,mass=mass_samp)
l = list(p.keys())
for k in numpy.arange(10):
trl = numpy.random.choice(l,2,replace=False)
plot = spel.plotModelParameters(p,*trl,model='baraffe',file=file)
assert os.access(file,os.R_OK)
os.remove(file)
def test_simulate():
# simulateAges
# simulateMasses
# simulateMassRatios
# simulateSpatialDistribution
# simulateKinematics
# simulateBinaryOrbits
# simulateGalacticOrbits
# simulatePhotometry
# simulatePopulation
num = 10000
ages = spel.simulateAges(num,distribution='uniform')
masses = spel.simulateMasses(num,distribution='uniform')
masses = spel.simulateMasses(num,distribution='flat')
masses = spel.simulateMasses(num,distribution='broken-power-law')
masses = spel.simulateMasses(num,distribution='chabrier')
masses = spel.simulateMasses(num,distribution='lognormal')
for a in numpy.linspace(-2.,2.,10):
masses = spel.simulateMasses(num,distribution='power-law',alpha=a)
| 36.860806 | 94 | 0.696015 | 1,520 | 10,063 | 4.592763 | 0.103947 | 0.158144 | 0.102278 | 0.072196 | 0.802177 | 0.772669 | 0.772669 | 0.770377 | 0.755049 | 0.749893 | 0 | 0.022738 | 0.130279 | 10,063 | 272 | 95 | 36.996324 | 0.774909 | 0.057438 | 0 | 0.764706 | 0 | 0 | 0.037616 | 0 | 0 | 0 | 0 | 0 | 0.366516 | 1 | 0.0181 | false | 0 | 0.058824 | 0 | 0.076923 | 0.004525 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8aaef5a927556d40862b563d777557136bda5edf | 37,345 | py | Python | fsm/squid-config/sonfsm_face/OS_Factory.py | cgeoffroy/son-security-pilot | 7a6253bf77db1875051b76151cfd83cf85525883 | [
"Apache-2.0"
] | null | null | null | fsm/squid-config/sonfsm_face/OS_Factory.py | cgeoffroy/son-security-pilot | 7a6253bf77db1875051b76151cfd83cf85525883 | [
"Apache-2.0"
] | 41 | 2017-06-23T10:15:13.000Z | 2018-03-02T13:26:59.000Z | fsm/squid-config/sonfsm_face/OS_Factory.py | cgeoffroy/son-security-pilot | 7a6253bf77db1875051b76151cfd83cf85525883 | [
"Apache-2.0"
] | 15 | 2017-05-26T12:50:29.000Z | 2018-03-12T15:28:42.000Z | #!/usr/bin/env python3
import os
import logging
import paramiko
import configparser
from abc import ABCMeta, abstractmethod
class Factory:
def get_os_implementation(self, os, logger):
if os == "ubuntu":
return Ubuntu_implementation(logger)
elif os == "\"centos\"":
return Centos_implementation(logger)
else:
raise NotImplementedError("Unknown OS type.")
class OS_implementation(metaclass = ABCMeta):
config_options = { 'direct': './ansible/roles/squid/files/squid_direct.conf',
'transparent': './ansible/roles/squid/files/squid.conf',
'squidufdb_xenial': './ansible/roles/squid/files/squid_ufdb_xenial.conf',
'squidufdb_centos': './ansible/roles/squid/files/squid_ufdb_centos.conf',
'ufdbguardconf': './ansible/roles/squid/files/ufdbguard.conf' }
config_dir = './ansible/roles/squid/files'
monitoring_file = './node.conf'
LOG = None
def __init__(self, logger):
self.LOG = logger
@abstractmethod
def configure_interfaces(self, ssh = None):
raise NotImplementedError("Not implemented")
@abstractmethod
def configure_squid_forwarding_rules(self, ssh, gw):
raise NotImplementedError("Not implemented")
def configure_monitoring(self, ssh, host_ip):
ftp = ssh.open_sftp()
self.LOG.info("SFTP connection established")
self.createConf(host_ip, 4, 'cache-vnf')
localpath = self.monitoring_file
self.LOG.info("SFTP connection entering on %s", localpath)
remotepath = '/tmp/node.conf'
sftpa = ftp.put(localpath, remotepath)
ftp.close()
self.LOG.info("SSH connection reestablished")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo cp /tmp/node.conf /opt/Monitoring')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo systemctl restart mon-probe.service')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
def stop_service(self, ssh):
self.LOG.info("SSH connection established")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo systemctl stop squid')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
def scale_service(self, ssh):
self.LOG.info("SSH connection established")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo systemctl start squid')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
@abstractmethod
def reconfigure_service(self, ssh, cfg):
raise NotImplementedError("Not implemented")
@abstractmethod
def configure_forward_routing(self, ssh, host_ip, data_ip, next_ip):
raise NotImplementedError("Not implemented")
def createConf(self, pw_ip, interval, name):
#config = configparser.RawConfigParser()
config = configparser.ConfigParser(interpolation = None)
config.add_section('vm_node')
config.add_section('Prometheus')
config.set('vm_node', 'node_name', name)
config.set('vm_node', 'post_freq', str(interval))
config.set('Prometheus', 'server_url', 'http://' + pw_ip + ':9091/metrics')
with open('node.conf', 'w') as configfile: # save
config.write(configfile)
f = open('node.conf', 'r')
self.LOG.debug('Mon Config-> ' + "\n" + f.read())
f.close()
class Centos_implementation(OS_implementation):
def __init__(self, logger):
self.LOG = logger
def configure_interfaces(self, ssh):
self.LOG.info("configure_interfaces centos")
if ssh == None:
return;
self.LOG.info("Copy net interfaces cfg files")
ftp = ssh.open_sftp()
self.LOG.info("SFTP connection established")
localpath = self.config_dir + '/ifcfg-eth1'
self.LOG.info("SFTP connection entering on %s", localpath)
remotepath = '/tmp/ifcfg-eth1'
sftpa = ftp.put(localpath, remotepath)
localpath = self.config_dir + '/ifcfg-eth2'
remotepath = '/tmp/ifcfg-eth2'
self.LOG.info("SFTP connection entering on %s", localpath)
sftpa = ftp.put(localpath, remotepath)
ftp.close()
self.LOG.info("Making sure the hostname is resolvable")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('echo "127.0.0.1 $(hostname)" | sudo tee -a /etc/hosts')
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Making sure .ssh directory exists")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("[ -d .ssh ] && echo OK")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
if sout != "OK":
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("mkdir .ssh")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("chmod 700 .ssh")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Copying scripts")
# ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo cp /tmp/ifcfg-eth1 /etc/sysconfig/network-scripts && sudo cp /tmp/ifcfg-eth2 /etc/sysconfig/network-scripts")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo cp /tmp/ifcfg-eth1 /etc/sysconfig/network-scripts")
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Displaying eth1 data")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("/sbin/ifconfig eth1")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
# ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("echo \"HWADDRESS=\"$(/sbin/ifconfig eth2 | awk '/ether/ { print $2 } ') | sudo su -c 'cat >> /etc/sysconfig/network-scripts/ifcfg-eth2'")
# self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
# self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Updating ifcfg-eth1")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("echo \"HWADDRESS=\"$(/sbin/ifconfig eth1 | awk '/ether/ { print $2 } ') | sudo su -c 'cat >> /etc/sysconfig/network-scripts/ifcfg-eth1'")
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Force ip forwarding")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("echo '1' | sudo tee /proc/sys/net/ipv4/ip_forward")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Get eth1 (input) subnetwork")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("/usr/sbin/ip route list | grep -m 1 '/27 dev eth1' | awk '{printf \"%s\",$1}'")
input_subnetwork = ssh_stdout.read().decode('utf-8').strip()
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(input_subnetwork, serr))
self.LOG.info("Delete extraneous rule on eth2 (output)")
#ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /usr/sbin/ip route del {0} dev eth2".format(input_subnetwork))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /usr/sbin/ip route del {0} dev eth1".format(input_subnetwork))
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Get current default GW")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("/usr/sbin/ip route | awk '/default/ { print $3 }'")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
return sout.strip()
def configure_squid_forwarding_rules(self, ssh, gw):
self.LOG.info("Always use eth0 (mgmt) for connection to 10.230.x.x for protecting admin ssh connections")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command(
"sudo /usr/sbin/ip route add 10.230.0.0/16 dev eth0 via {0}".format(gw))
# FIX: how to known that eth0 is always mgmt ?
self.LOG.info("stdout: {0}\nstderr: {1}".format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
self.LOG.info('get own ip')
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("/sbin/ifconfig eth0 | grep \"inet\" | awk '{ if ($1 == \"inet\") {print $2} }'")
my_ip = ssh_stdout.read().decode('utf-8').strip()
self.LOG.info('stdout from remote: ' + my_ip)
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info('Port 80 to 3128 for {0}'.format(my_ip))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /usr/sbin/iptables -t nat -A PREROUTING -i eth1 -p tcp -m tcp --dport 80 -j DNAT --to-destination '{0}:3128'".format(my_ip))
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Redirecting port")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo /usr/sbin/iptables -t nat -A PREROUTING -i eth1 -p tcp -m tcp --dport 80 -j REDIRECT --to-ports 3128')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Setting masquerade")
#ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo /usr/sbin/iptables -t nat -A POSTROUTING -o eth2 -j MASQUERADE')
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo /usr/sbin/iptables -t nat -A POSTROUTING -o eth1 -j MASQUERADE')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Accept in the filter table")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo /usr/sbin/iptables -t filter -A INPUT -p tcp --dport 3128 -j ACCEPT')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Configuration of squid service")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo systemctl start squid')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
def reconfigure_service(self, ssh, cfg):
self.LOG.info("SSH connection established")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo systemctl stop squid')
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('output from remote: ' + ssh_stderr.read().decode('utf-8'))
ftp = ssh.open_sftp()
self.LOG.info("SFTP connection established")
if cfg == "transparent":
localpath = self.config_options[cfg]
self.LOG.info("SFTP connection entering on %s", localpath)
remotepath = '/tmp/squid.conf'
sftpa = ftp.put(localpath, remotepath)
elif cfg == "squidguard":
cfg = "squid_ufdb_centos"
localpath = self.config_options[cfg]
self.LOG.info("SFTP connection entering on %s", localpath)
remotepath = '/tmp/squid.conf'
sftpa = ftp.put(localpath, remotepath)
localpath = self.config_options["ufdbguardconf"]
self.LOG.info("SFTP connection entering on %s", localpath)
remotepath = '/tmp/ufdbguard.conf'
sftpa = ftp.put(localpath, remotepath)
ftp.close()
self.LOG.info("Moving the Squid configuration file")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo mv /etc/squid/squid.conf /etc/squid/squid.conf.old')
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('error from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Copying the Squid configuration file")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo cp /tmp/squid.conf /etc/squid')
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('error from remote: ' + ssh_stderr.read().decode('utf-8'))
if cfg == "squid_ufdb_centos":
self.LOG.info("Copying the Squid Guard configuration file")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("[ -f /etc/ufdbguard/ufdbGuard.conf ] && echo OK")
sout = ssh_stdout.read().decode('utf-8')
self.LOG.info('output from remote: ' + sout)
self.LOG.info('error from remote: ' + ssh_stderr.read().decode('utf-8'))
if sout == "OK":
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo su -c 'mv /etc/ufdbguard/ufdbGuard.conf /etc/ufdbguard/ufdbGuard.conf.old'")
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('error from remote: ' + ssh_stderr.read().decode('utf-8'))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo su -c 'mv /tmp/ufdbguard.conf /etc/ufdbguard/ufdbGuard.conf'")
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('error from remote: ' + ssh_stderr.read().decode('utf-8'))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo systemctl start ufdb.service")
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('error from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Restarting Squid")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo systemctl restart squid')
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('error from remote: ' + ssh_stderr.read().decode('utf-8'))
def configure_forward_routing(self, ssh, host_ip, data_ip, next_ip):
self.LOG.info("Retrieve FSM IP address")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command(
"FSM_IP=$(echo $SSH_CLIENT | awk '{ print $1}') && echo $FSM_IP")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
fsm_ip = sout.strip()
self.LOG.info("FSM IP: {0}".format(fsm_ip))
self.LOG.info("Get current default GW")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("IP=$(/usr/sbin/ip route | awk '/default/ { print $3 }') && echo $IP")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
default_gw = sout.strip()
self.LOG.info("Default GW: {0}".format(str(default_gw)))
self.LOG.info("Verify if sonata_file exists on /etc")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("[ -f /etc/sonata_file ] && echo OK")
sout = ssh_stdout.read().decode('utf-8').strip()
serr = ssh_stderr.read().decode('utf-8').strip()
if sout != "OK":
self.LOG.info("Configure route for FSM IP")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command(
"sudo /usr/sbin/route add -net {0} netmask 255.255.255.255 gw {1}"
.format(fsm_ip, default_gw))
sout = ssh_stdout.read().decode('utf-8').strip()
serr = ssh_stderr.read().decode('utf-8').strip()
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo su -c '>> /etc/sonata_file'")
sout = ssh_stdout.read().decode('utf-8').strip()
serr = ssh_stderr.read().decode('utf-8').strip()
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("stdout: {0}\nstderr: {1}"
.format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
# remove default GW
self.LOG.info("Delete default GW")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /usr/sbin/route del default gw {0}".format(default_gw))
self.LOG.info("stdout: {0}\nstderr: {1}".format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
# next VNF exists
if next_ip is not None:
# find virtual link of vpn output
self.LOG.info("cpmgmt IP address:'{0}'; cpinput IP address:'{1}'; forward_cpinput_ip:'{2}'"
.format(host_ip, data_ip, next_ip))
self.LOG.info("Set the path to the next hop by eth1 (output)")
#ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /usr/sbin/ip route add {0}/32 dev eth2".format(next_ip))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /usr/sbin/ip route add {0}/32 dev eth1".format(next_ip))
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Configure default GW for next VNF VM in chain using the eth2 (output) interface")
#ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /usr/sbin/route add default gw {0} dev eth2".format(next_ip))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /usr/sbin/route add default gw {0} dev eth1".format(next_ip))
self.LOG.info("stdout: {0}\nstderr: {1}".format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
else:
self.LOG.info("Modify DHCP configuration of interfaces")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo sed -i \"/DEFROUTE/cDEFROUTE=\"no\"\" /etc/sysconfig/network-scripts/ifcfg-eth0")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo sed -i \"/DEFROUTE/cDEFROUTE=\"yes\"\" /etc/sysconfig/network-scripts/ifcfg-eth1")
self.LOG.info("stdout: {0}\nstderr: {1}".format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /sbin/ifconfig eth1 | grep \"inet\" | awk '{ if ($1 == \"inet\") {print $2} }'")
last_if = ssh_stdout.read().decode('utf-8').strip().split(".")
self.LOG.info("Last interface = {0}".format(last_if))
last_if[3] = str((int(last_if[3]) & 224) + 1)
self.LOG.info("Add default route for input/output interface (eth1)")
#ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo dhclient -r eth2 && dhclient eth2")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo dhclient -r eth1 && dhclient eth1")
self.LOG.info("stdout: {0}\nstderr: {1}".format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /usr/sbin/route add default gw {0}".format('.'.join(last_if)))
self.LOG.info("stdout: {0}\nstderr: {1}" .format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo sed -i \'s/#net.ipv4.ip_forward/net.ipv4.ip_forward/g\' /etc/sysctl.conf")
self.LOG.info("stdout: {0}\nstderr: {1}".format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo systemctl restart network.service")
self.LOG.info("stdout: {0}\nstderr: {1}".format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
class Ubuntu_implementation(OS_implementation):
def __init__(self, logger):
self.LOG = logger
def configure_interfaces(self, ssh):
self.LOG.info("configure_interfaces Ubuntu")
if ssh == None:
return;
self.LOG.info("Disable UFW service")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo systemctl stop ufw && sudo systemctl disable ufw")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("Copy net interfaces cfg files")
ftp = ssh.open_sftp()
self.LOG.info("SFTP connection established")
localpath = self.config_dir + '/50-cloud-init.cfg'
self.LOG.info("SFTP connection entering on %s", localpath)
remotepath = '/tmp/50-cloud-init.cfg'
sftpa = ftp.put(localpath, remotepath)
ftp.close()
self.LOG.info("Making sure .ssh directory exists")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("[ -d .ssh ] && echo OK")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
if sout != "OK":
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("mkdir .ssh")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("chmod 700 .ssh")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Making sure the hostname is resolvable")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('echo "127.0.0.1 $(hostname)" | sudo tee -a /etc/hosts')
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Stopping ufw")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo /usr/sbin/service ufw stop || true')
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Copying scripts")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo cp /tmp/50-cloud-init.cfg /etc/network/interfaces.d")
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Displaying eth1 data and other info")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("/sbin/ifconfig eth1 && /sbin/ip a && /sbin/ip r")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Force ip forwarding")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("echo '1' | sudo tee /proc/sys/net/ipv4/ip_forward")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Get eth1 (input) subnetwork")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("/sbin/ip route list | grep -m 1 '/27 dev eth1' | awk '{printf \"%s\",$1}'")
input_subnetwork = ssh_stdout.read().decode('utf-8').strip()
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(input_subnetwork, serr))
self.LOG.info("Get current default GW")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("/sbin/ip route | awk '/default/ { print $3 }'")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
return sout.strip()
def configure_squid_forwarding_rules(self, ssh, gw):
self.LOG.info("Always use eth0 (mgmt) for connection to 10.230.x.x for protecting admin ssh connections")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command(
"sudo /sbin/ip route add 10.230.0.0/16 dev eth0 via {0}".format(gw))
# FIX: how to known that eth0 is always mgmt ?
self.LOG.info("stdout: {0}\nstderr: {1}".format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
self.LOG.info('get own ip')
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("/sbin/ifconfig eth0 | grep \"inet\" | awk '{ if ($1 == \"inet\") {print $2} }' | cut -b 6-")
my_ip = ssh_stdout.read().decode('utf-8').strip()
self.LOG.info('stdout from remote: ' + my_ip)
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info('Port 80 to 3128 for {0}'.format(my_ip))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /sbin/iptables -t nat -A PREROUTING -i eth1 -p tcp -m tcp --dport 80 -j DNAT --to-destination '{0}:3128'".format(my_ip))
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Redirecting port")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo /sbin/iptables -t nat -A PREROUTING -i eth1 -p tcp -m tcp --dport 80 -j REDIRECT --to-ports 3128')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Setting masquerade")
#ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo /sbin/iptables -t nat -A POSTROUTING -o eth2 -j MASQUERADE')
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo /sbin/iptables -t nat -A POSTROUTING -o eth1 -j MASQUERADE')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Accept in the filter table")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo /sbin/iptables -t filter -A INPUT -p tcp --dport 3128 -j ACCEPT')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Configuration of squid service")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo systemctl start squid')
self.LOG.info('stdout from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('stderr from remote: ' + ssh_stderr.read().decode('utf-8'))
def reconfigure_service(self, ssh, cfg):
self.LOG.info("SSH connection established")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo systemctl stop squid')
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('output from remote: ' + ssh_stderr.read().decode('utf-8'))
ftp = ssh.open_sftp()
self.LOG.info("SFTP connection established")
if cfg == "transparent":
localpath = self.config_options[cfg]
self.LOG.info("SFTP connection entering on %s", localpath)
remotepath = '/tmp/squid.conf'
sftpa = ftp.put(localpath, remotepath)
elif cfg == "squidguard":
cfg = "squidufdb_xenial"
localpath = self.config_options[cfg]
self.LOG.info("SFTP connection entering on %s", localpath)
remotepath = '/tmp/squid.conf'
sftpa = ftp.put(localpath, remotepath)
localpath = self.config_options["ufdbguardconf"]
self.LOG.info("SFTP connection entering on %s", localpath)
remotepath = '/tmp/ufdbguard.conf'
sftpa = ftp.put(localpath, remotepath)
ftp.close()
self.LOG.info("Moving the Squid configuration file")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo mv /etc/squid/squid.conf /etc/squid/squid.conf.old')
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('output from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Copying the Squid configuration file")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo cp /tmp/squid.conf /etc/squid')
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('output from remote: ' + ssh_stderr.read().decode('utf-8'))
if cfg == "squidufdb_xenial":
self.LOG.info("Copying the Squid Guard configuration file")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("[ -f /usr/local/ufdbguard/etc/ufdbGuard.conf ] && echo OK")
sout = ssh_stdout.read().decode('utf-8')
self.LOG.info('output from remote: ' + sout)
self.LOG.info('error from remote: ' + ssh_stderr.read().decode('utf-8'))
if sout == "OK":
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo su -c 'mv /usr/local/ufdbguard/etc/ufdbGuard.conf /usr/local/ufdbguard/etc/ufdbGuard.conf.old'")
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('error from remote: ' + ssh_stderr.read().decode('utf-8'))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo su -c 'mv /tmp/ufdbguard.conf /usr/local/ufdbguard/etc/ufdbGuard.conf'")
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('error from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Restarting ufdb")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo systemctl start ufdb.service')
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('output from remote: ' + ssh_stderr.read().decode('utf-8'))
self.LOG.info("Restarting Squid")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command('sudo systemctl restart squid')
self.LOG.info('output from remote: ' + ssh_stdout.read().decode('utf-8'))
self.LOG.info('output from remote: ' + ssh_stderr.read().decode('utf-8'))
def configure_forward_routing(self, ssh, host_ip, data_ip, next_ip):
self.LOG.info("Retrieve FSM IP address")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command(
"FSM_IP=$(echo $SSH_CLIENT | awk '{ print $1}') && echo $FSM_IP")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
fsm_ip = sout.strip()
self.LOG.info("FSM IP: {0}".format(fsm_ip))
self.LOG.info("Get current default GW")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command(
"IP=$(/sbin/ip route | awk '/default/ { print $3 }') && echo $IP")
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
default_gw = sout.strip()
self.LOG.info("Default GW: {0}".format(str(default_gw)))
self.LOG.info("Verify if sonata_file exists on /etc")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("[ -f /etc/sonata_file ] && echo OK")
sout = ssh_stdout.read().decode('utf-8').strip()
serr = ssh_stderr.read().decode('utf-8').strip()
if sout != "OK":
self.LOG.info("Configure route for FSM IP")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command(
"sudo /sbin/route add -net {0} netmask 255.255.255.255 gw {1}"
.format(fsm_ip, default_gw))
sout = ssh_stdout.read().decode('utf-8').strip()
serr = ssh_stderr.read().decode('utf-8').strip()
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo su -c '>> /etc/sonata_file'")
sout = ssh_stdout.read().decode('utf-8').strip()
serr = ssh_stderr.read().decode('utf-8').strip()
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
# remove default GW
self.LOG.info("Delete default GW")
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command(
"sudo /sbin/route del default gw {0}".format(default_gw))
sout = ssh_stdout.read().decode('utf-8').strip()
serr = ssh_stderr.read().decode('utf-8').strip()
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
# next VNF exists
if next_ip is not None:
# find virtual link of vpn output
self.LOG.info("cpmgmt IP address:'{0}'; cpinput IP address:'{1}'; forward_cpinput_ip:'{2}'"
.format(host_ip, data_ip, next_ip))
self.LOG.info("Force the path to the next hope to go through eth1 (output)")
#ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /sbin/ip route add {0}/32 dev eth2".format(next_ip))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /sbin/ip route add {0}/32 dev eth1".format(next_ip))
sout = ssh_stdout.read().decode('utf-8')
serr = ssh_stderr.read().decode('utf-8')
self.LOG.info("stdout: {0}\nstderr: {1}".format(sout, serr))
self.LOG.info("Configure default GW for next VNF VM in chain using the eth2 (output) interface")
#ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /sbin/route add default gw {0} dev eth2".format(next_ip))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /sbin/route add default gw {0} dev eth1".format(next_ip))
self.LOG.info("stdout: {0}\nstderr: {1}"
.format(ssh_stdout.read().decode('utf-8'),
ssh_stderr.read().decode('utf-8')))
else:
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /sbin/ifconfig eth1 | grep \"inet\" | awk '{if($1==\"inet\") { print $2; }}' | cut -b 6-")
last_if = ssh_stdout.read().decode('utf-8').strip().split(".")
self.LOG.info("Last interface = {0}".format(last_if))
last_if[3] = str((int(last_if[3]) & 224) + 1)
str_out = "supersede routers {0};".format('.'.join(last_if))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo su -c 'echo {0} >> /etc/dhcp/dhclient.conf'".format(str_out))
self.LOG.info("stdout: {0}\nstderr: {1}"
.format(ssh_stdout.read().decode('utf-8'),
ssh_stderr.read().decode('utf-8')))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /sbin/route add default gw {0}".format('.'.join(last_if)))
self.LOG.info("stdout: {0}\nstderr: {1}"
.format(ssh_stdout.read().decode('utf-8'),
ssh_stderr.read().decode('utf-8')))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo sed -i \'s/#net.ipv4.ip_forward/net.ipv4.ip_forward/g\' /etc/sysctl.conf")
self.LOG.info("stdout: {0}\nstderr: {1}".format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
ssh_stdin, ssh_stdout, ssh_stderr = ssh.exec_command("sudo /etc/init.d/procps restart")
self.LOG.info("stdout: {0}\nstderr: {1}".format(ssh_stdout.read().decode('utf-8'), ssh_stderr.read().decode('utf-8')))
| 57.365591 | 200 | 0.620993 | 5,218 | 37,345 | 4.306056 | 0.06056 | 0.065112 | 0.100361 | 0.104678 | 0.924785 | 0.910098 | 0.902532 | 0.894744 | 0.888246 | 0.884152 | 0 | 0.018268 | 0.217245 | 37,345 | 650 | 201 | 57.453846 | 0.750376 | 0.046673 | 0 | 0.762183 | 0 | 0.044834 | 0.314118 | 0.030271 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038986 | false | 0 | 0.009747 | 0 | 0.072125 | 0.025341 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8abc8f6fae2ecc491fad0185d6f3173ae8c20859 | 4,229 | py | Python | test/unit_tests/datasets/test_tuh.py | dcwil/braindecode | e21d380bf3062306843af1eb45179bffe2c135c4 | [
"BSD-3-Clause"
] | null | null | null | test/unit_tests/datasets/test_tuh.py | dcwil/braindecode | e21d380bf3062306843af1eb45179bffe2c135c4 | [
"BSD-3-Clause"
] | null | null | null | test/unit_tests/datasets/test_tuh.py | dcwil/braindecode | e21d380bf3062306843af1eb45179bffe2c135c4 | [
"BSD-3-Clause"
] | null | null | null | # Authors: Lukas Gemein <l.gemein@gmail.com>
#
# License: BSD-3
from braindecode.datasets.tuh import (
_parse_description_from_file_path, _create_chronological_description,
TUHAbnormal)
def test_parse_from_tuh_file_path():
file_path = ("v2.0.0/edf/01_tcp_ar/000/00000021/"
"s004_2013_08_15/00000021_s004_t000.edf")
description = _parse_description_from_file_path(file_path)
assert len(description) == 9
assert description['path'] == file_path
assert description['year'] == 2013
assert description['month'] == 8
assert description['day'] == 15
assert description['subject'] == 21
assert description['session'] == 4
assert description['segment'] == 0
assert description['reference'] == 'ar'
assert description['version'] == 'v2.0.0'
def test_parse_from_tuh_abnormal_file_path():
file_path = ("v2.0.0/edf/eval/abnormal/01_tcp_ar/107/00010782/"
"s002_2013_10_05/00010782_s002_t001.edf")
additional_description = (
TUHAbnormal._parse_additional_description_from_file_path(file_path))
assert len(additional_description) == 2
assert additional_description['pathological']
assert not additional_description['train']
file_path = ("v2.0.0/edf/train/normal/01_tcp_ar/107/00010782/"
"s002_2013_10_05/00010782_s002_t001.edf")
additional_description = (
TUHAbnormal._parse_additional_description_from_file_path(file_path))
assert len(additional_description) == 2
assert not additional_description['pathological']
assert additional_description['train']
def test_sort_chronologically():
file_paths = [
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010832/s001_2013_10_03/"
"00010831_s002_t001.edf",
"v2.0.0/edf/train/abnormal/01_tcp_ar/000/00000068/s009_2011_09_12/"
"00000068_s009_t000.edf",
"v2.0.0/edf/train/abnormal/01_tcp_ar/000/00000016/s004_2012_02_08/"
"00000016_s004_t000.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010839/s001_2013_11_22/"
"00010839_s001_t000.edf",
"v2.0.0/edf/train/abnormal/01_tcp_ar/000/00000068/s008_2010_09_28/"
"00000068_s008_t001.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010832/s001_2013_10_03/"
"00010831_s002_t000.edf",
"v2.0.0/edf/train/abnormal/01_tcp_ar/000/00000016/s005_2013_07_12/"
"00000016_s005_t001.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010810/s001_2013_10_03/"
"00010810_s001_t000.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010831/s001_2013_10_03/"
"00010831_s001_t000.edf",
"v2.0.0/edf/train/abnormal/01_tcp_ar/000/00000019/s002_2013_07_18/"
"00000019_s002_t001.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010816/s001_2013_10_03/"
"00010816_s001_t001.edf",
]
description = _create_chronological_description(file_paths)
expected = [
"v2.0.0/edf/train/abnormal/01_tcp_ar/000/00000068/s008_2010_09_28/"
"00000068_s008_t001.edf",
"v2.0.0/edf/train/abnormal/01_tcp_ar/000/00000068/s009_2011_09_12/"
"00000068_s009_t000.edf",
"v2.0.0/edf/train/abnormal/01_tcp_ar/000/00000016/s004_2012_02_08/"
"00000016_s004_t000.edf",
"v2.0.0/edf/train/abnormal/01_tcp_ar/000/00000016/s005_2013_07_12/"
"00000016_s005_t001.edf",
"v2.0.0/edf/train/abnormal/01_tcp_ar/000/00000019/s002_2013_07_18/"
"00000019_s002_t001.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010810/s001_2013_10_03/"
"00010810_s001_t000.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010816/s001_2013_10_03/"
"00010816_s001_t001.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010831/s001_2013_10_03/"
"00010831_s001_t000.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010832/s001_2013_10_03/"
"00010831_s002_t000.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010832/s001_2013_10_03/"
"00010831_s002_t001.edf",
"v2.0.0/edf/train/normal/01_tcp_ar/108/00010839/s001_2013_11_22/"
"00010839_s001_t000.edf",
]
for p1, p2 in zip(expected, description.T.path):
assert p1 == p2
| 43.153061 | 76 | 0.698274 | 644 | 4,229 | 4.223602 | 0.153727 | 0.028676 | 0.038235 | 0.064338 | 0.737132 | 0.711029 | 0.708088 | 0.708088 | 0.676471 | 0.669853 | 0 | 0.298801 | 0.171435 | 4,229 | 97 | 77 | 43.597938 | 0.477454 | 0.013478 | 0 | 0.619048 | 0 | 0 | 0.534549 | 0.511756 | 0 | 0 | 0 | 0 | 0.202381 | 1 | 0.035714 | false | 0 | 0.011905 | 0 | 0.047619 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
76ddf87891c0c98cb4f24f6f365b0cb13664930c | 3,270 | py | Python | pygraphviz/tests/test_layout.py | MridulS/pygraphviz | 0796fb3d659b94338f38142115bd71ca323bacd6 | [
"BSD-3-Clause"
] | 602 | 2015-01-07T14:54:13.000Z | 2022-03-29T08:38:05.000Z | pygraphviz/tests/test_layout.py | MridulS/pygraphviz | 0796fb3d659b94338f38142115bd71ca323bacd6 | [
"BSD-3-Clause"
] | 321 | 2015-01-04T14:53:07.000Z | 2022-03-31T19:56:45.000Z | pygraphviz/tests/test_layout.py | rossbar/pygraphviz | 894a45b43aa8ec332758dc170f5a73cbef762a6e | [
"BSD-3-Clause"
] | 212 | 2015-01-12T04:28:53.000Z | 2022-03-05T07:28:33.000Z | import pytest
import sys
import pygraphviz as pgv
def test_layout():
A = pgv.AGraph(name="test graph")
A.add_path([1, 2, 3, 4])
assert [n.attr["pos"] is None for n in A.nodes()] == [True] * 4
A.layout()
assert [n.attr["pos"] is not None for n in A.nodes()] == [True] * 4
def test_layout_defaults():
A = pgv.AGraph(name="test graph")
A.add_path([1, 2, 3, 4])
# print("Pos before",[n.attr["pos"] for n in A.nodes()])
assert [n.attr["pos"] is None for n in A.nodes()] == [True] * 4
A.layout()
assert [n.attr["pos"] is not None for n in A.nodes()] == [True] * 4
# print("Pos after",[n.attr["pos"] for n in A.nodes()])
def test_layout_prog_arg():
A = pgv.AGraph(name="test graph")
A.add_path([1, 2, 3, 4])
assert [n.attr["pos"] is None for n in A.nodes()] == [True] * 4
A.layout(prog="dot")
assert [n.attr["pos"] is not None for n in A.nodes()] == [True] * 4
dot_pos = [n.attr["pos"] for n in A.nodes()]
A.layout(prog="dot")
result = [n.attr["pos"] for n in A.nodes()]
assert result == dot_pos
A.layout(prog="twopi")
result = [n.attr["pos"] for n in A.nodes()]
assert result != dot_pos
A.layout(prog="neato")
result = [n.attr["pos"] for n in A.nodes()]
assert result != dot_pos
A.layout(prog="circo")
result = [n.attr["pos"] for n in A.nodes()]
assert result != dot_pos
A.layout(prog="fdp")
result = [n.attr["pos"] for n in A.nodes()]
assert result != dot_pos
class TestExperimentalGraphvizLibInterface:
def test_layout(self):
A = pgv.AGraph(name="test graph")
A.add_path([1, 2, 3, 4])
assert [n.attr["pos"] is None for n in A.nodes()] == [True] * 4
A._layout()
assert [n.attr["pos"] is not None for n in A.nodes()] == [True] * 4
def test_layout_defaults(self):
A = pgv.AGraph(name="test graph")
A.add_path([1, 2, 3, 4])
# print("Pos before",[n.attr["pos"] for n in A.nodes()])
assert [n.attr["pos"] is None for n in A.nodes()] == [True] * 4
A._layout()
assert [n.attr["pos"] is not None for n in A.nodes()] == [True] * 4
# print("Pos after",[n.attr["pos"] for n in A.nodes()])
def test_layout_prog_arg(self):
A = pgv.AGraph(name="test graph")
A.add_path([1, 2, 3, 4])
assert [n.attr["pos"] is None for n in A.nodes()] == [True] * 4
A._layout(prog=b"dot")
assert [n.attr["pos"] is not None for n in A.nodes()] == [True] * 4
dot_pos = [n.attr["pos"] for n in A.nodes()]
A._layout(prog="dot")
result = [n.attr["pos"] for n in A.nodes()]
assert result == dot_pos
A._layout(prog="twopi")
result = [n.attr["pos"] for n in A.nodes()]
assert result != dot_pos
A._layout(prog="neato")
result = [n.attr["pos"] for n in A.nodes()]
assert result != dot_pos
A._layout(prog="circo")
result = [n.attr["pos"] for n in A.nodes()]
assert result != dot_pos
A._layout(prog="fdp")
result = [n.attr["pos"] for n in A.nodes()]
assert result != dot_pos
A._layout(prog="nop")
result = [n.attr["pos"] for n in A.nodes()]
assert result != dot_pos
| 32.058824 | 75 | 0.552905 | 545 | 3,270 | 3.244037 | 0.086239 | 0.082014 | 0.131222 | 0.114819 | 0.936086 | 0.936086 | 0.936086 | 0.936086 | 0.936086 | 0.936086 | 0 | 0.014901 | 0.261162 | 3,270 | 101 | 76 | 32.376238 | 0.716887 | 0.066361 | 0 | 0.72 | 0 | 0 | 0.061024 | 0 | 0 | 0 | 0 | 0 | 0.306667 | 1 | 0.08 | false | 0 | 0.04 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
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