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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e64a8568b52a1832a0a886a8d46529eefd7e6004 | 23 | py | Python | MPUAPD_Rip.py | amrosado/BRFSS_Master | 1bb3f0f6b26668cf1014976697a8aba29ffa7760 | [
"MIT"
] | null | null | null | MPUAPD_Rip.py | amrosado/BRFSS_Master | 1bb3f0f6b26668cf1014976697a8aba29ffa7760 | [
"MIT"
] | null | null | null | MPUAPD_Rip.py | amrosado/BRFSS_Master | 1bb3f0f6b26668cf1014976697a8aba29ffa7760 | [
"MIT"
] | null | null | null | __author__ = 'arosado'
| 11.5 | 22 | 0.73913 | 2 | 23 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 23 | 1 | 23 | 23 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e65db3158c371825167d3dce2be535cf55981fc2 | 274 | py | Python | pyplan/pyplan/modelmanager/serializers/NodePropertySerializer.py | jorgedouglas71/pyplan-ide | 5ad0e4a2592b5f2716ff680018f717c65de140f5 | [
"MIT"
] | 17 | 2019-12-04T19:22:19.000Z | 2021-07-28T11:17:05.000Z | pyplan/pyplan/modelmanager/serializers/NodePropertySerializer.py | jorgedouglas71/pyplan-ide | 5ad0e4a2592b5f2716ff680018f717c65de140f5 | [
"MIT"
] | 9 | 2019-12-13T15:34:43.000Z | 2022-02-10T11:43:00.000Z | pyplan/pyplan/modelmanager/serializers/NodePropertySerializer.py | jorgedouglas71/pyplan-ide | 5ad0e4a2592b5f2716ff680018f717c65de140f5 | [
"MIT"
] | 5 | 2019-12-04T15:57:06.000Z | 2021-08-20T19:59:26.000Z | from rest_framework import serializers
class NodePropertySerializer(serializers.Serializer):
name = serializers.CharField(required=True, allow_blank=False, max_length=200)
value = serializers.CharField(required=False, allow_blank=True, allow_null=True, default="")
| 45.666667 | 96 | 0.810219 | 32 | 274 | 6.78125 | 0.65625 | 0.184332 | 0.258065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012097 | 0.094891 | 274 | 5 | 97 | 54.8 | 0.862903 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 1 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
e661f72f9dbb36bbf7ba5105acab698ce68c4bce | 139 | py | Python | homeworks/aleksey_gukov/lesson09/level02.py | tgrx/Z22 | b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff | [
"Apache-2.0"
] | null | null | null | homeworks/aleksey_gukov/lesson09/level02.py | tgrx/Z22 | b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff | [
"Apache-2.0"
] | 8 | 2019-11-15T18:15:56.000Z | 2020-02-03T18:05:05.000Z | homeworks/aleksey_gukov/lesson09/level02.py | tgrx/Z22 | b2539682ff26c8b6d9f63a7670c8a9c6b614a8ff | [
"Apache-2.0"
] | null | null | null | def rotate_left(list_f, step):
for _ in range(step):
list_f.append(list_f.pop(0))
list_s = list_f[:]
return list_s
| 23.166667 | 36 | 0.611511 | 24 | 139 | 3.208333 | 0.583333 | 0.25974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009804 | 0.266187 | 139 | 5 | 37 | 27.8 | 0.745098 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.4 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e665c89fef0429073d891d3130be6ad51c0bca4b | 7,460 | py | Python | scripts/ndvilog.py | omad/dratools | 9c7edac30606f7d8105feb4db62ef1e567d20d3e | [
"Apache-2.0"
] | null | null | null | scripts/ndvilog.py | omad/dratools | 9c7edac30606f7d8105feb4db62ef1e567d20d3e | [
"Apache-2.0"
] | null | null | null | scripts/ndvilog.py | omad/dratools | 9c7edac30606f7d8105feb4db62ef1e567d20d3e | [
"Apache-2.0"
] | null | null | null | times = [{'writing_data': 6.627535581588745, 'ndvi_pc10': 27.36231303215027, 'loading_data': 109.62806057929993, 'ndvi_pc90': 21.421257734298706, 'ndvi_pc50': 27.33169937133789},
{'writing_data': 6.443411588668823, 'ndvi_pc10': 39.16243243217468, 'loading_data': 123.19368815422058, 'ndvi_pc90': 38.72961163520813, 'ndvi_pc50': 36.39958381652832},
{'writing_data': 6.733800649642944, 'ndvi_pc10': 32.248281955718994, 'loading_data': 56.15437984466553, 'ndvi_pc90': 31.813125610351562, 'ndvi_pc50': 35.00871157646179},
{'writing_data': 6.484926462173462, 'ndvi_pc10': 30.538794994354248, 'loading_data': 72.27108573913574, 'ndvi_pc90': 31.11927819252014, 'ndvi_pc50': 30.832648038864136},
{'writing_data': 6.359814405441284, 'ndvi_pc10': 46.55086040496826, 'loading_data': 59.67847752571106, 'ndvi_pc90': 39.096333265304565, 'ndvi_pc50': 42.16282844543457},
{'writing_data': 6.564153432846069, 'ndvi_pc10': 45.175180196762085, 'loading_data': 87.63148283958435, 'ndvi_pc90': 49.379384994506836, 'ndvi_pc50': 45.34032440185547},
{'writing_data': 6.604489326477051, 'ndvi_pc10': 32.93318557739258, 'loading_data': 78.88174366950989, 'ndvi_pc90': 31.08031392097473, 'ndvi_pc50': 29.89056134223938},
{'writing_data': 6.4211084842681885, 'ndvi_pc10': 41.337995767593384, 'loading_data': 82.0915629863739, 'ndvi_pc90': 39.3358314037323, 'ndvi_pc50': 39.409401655197144},
{'writing_data': 6.546594858169556, 'ndvi_pc10': 35.091548681259155, 'loading_data': 47.397238969802856, 'ndvi_pc90': 34.05122685432434, 'ndvi_pc50': 33.63374209403992},
{'writing_data': 6.11034631729126, 'ndvi_pc10': 43.16675114631653, 'loading_data': 63.00188064575195, 'ndvi_pc90': 40.11013221740723, 'ndvi_pc50': 40.178325176239014},
{'writing_data': 6.267251491546631, 'ndvi_pc10': 36.879666328430176, 'loading_data': 59.68582105636597, 'ndvi_pc90': 35.762709617614746, 'ndvi_pc50': 36.186012506484985},
{'writing_data': 6.086328744888306, 'ndvi_pc10': 34.747477531433105, 'loading_data': 51.13255739212036, 'ndvi_pc90': 33.50469946861267, 'ndvi_pc50': 33.493101358413696},
{'writing_data': 6.232825517654419, 'ndvi_pc10': 37.161699056625366, 'loading_data': 72.47414040565491, 'ndvi_pc90': 36.648998975753784, 'ndvi_pc50': 38.17262291908264},
{'writing_data': 6.4867870807647705, 'ndvi_pc10': 22.58499264717102, 'loading_data': 50.658077239990234, 'ndvi_pc90': 23.183380842208862, 'ndvi_pc50': 23.05723762512207},
{'writing_data': 6.315629243850708, 'ndvi_pc10': 24.482516288757324, 'loading_data': 52.54269289970398, 'ndvi_pc90': 23.933518171310425, 'ndvi_pc50': 23.647018909454346},
{'writing_data': 6.466713190078735, 'ndvi_pc10': 33.10160160064697, 'loading_data': 39.69579243659973, 'ndvi_pc90': 35.594271183013916, 'ndvi_pc50': 33.5105459690094},
{'writing_data': 6.146531581878662, 'ndvi_pc10': 41.39342451095581, 'loading_data': 82.68737983703613, 'ndvi_pc90': 40.2240526676178, 'ndvi_pc50': 42.00848603248596},
{'writing_data': 6.4085304737091064, 'ndvi_pc10': 24.061297178268433, 'loading_data': 65.79187154769897, 'ndvi_pc90': 24.270387649536133, 'ndvi_pc50': 23.630946397781372},
{'writing_data': 5.905577898025513, 'ndvi_pc10': 37.23882865905762, 'loading_data': 55.112420082092285, 'ndvi_pc90': 36.291778326034546, 'ndvi_pc50': 36.75375556945801},
{'writing_data': 6.305130481719971, 'ndvi_pc10': 35.108429193496704, 'loading_data': 56.73119306564331, 'ndvi_pc90': 35.175426959991455, 'ndvi_pc50': 35.82203245162964},
{'writing_data': 5.938111066818237, 'ndvi_pc10': 36.650582790374756, 'loading_data': 55.64810013771057, 'ndvi_pc90': 36.924052238464355, 'ndvi_pc50': 36.689247369766235},
{'writing_data': 5.939232587814331, 'ndvi_pc10': 34.53633236885071, 'loading_data': 64.5890371799469, 'ndvi_pc90': 32.73802304267883, 'ndvi_pc50': 35.01725482940674},
{'writing_data': 6.481805801391602, 'ndvi_pc10': 15.486124753952026, 'loading_data': 44.980570793151855, 'ndvi_pc90': 16.636183738708496, 'ndvi_pc50': 19.395575284957886},
{'writing_data': 6.364058494567871, 'ndvi_pc10': 34.192909955978394, 'loading_data': 41.18637776374817, 'ndvi_pc90': 33.94004559516907, 'ndvi_pc50': 32.72668814659119},
{'writing_data': 6.19329047203064, 'ndvi_pc10': 21.083044290542603, 'loading_data': 54.03144335746765, 'ndvi_pc90': 18.876606702804565, 'ndvi_pc50': 20.58382821083069},
{'writing_data': 6.390938997268677, 'ndvi_pc10': 17.885555505752563, 'loading_data': 64.85111451148987, 'ndvi_pc90': 17.912266969680786, 'ndvi_pc50': 16.847716808319092},
{'writing_data': 6.0089945793151855, 'ndvi_pc10': 37.12860655784607, 'loading_data': 80.22634196281433, 'ndvi_pc90': 36.44176435470581, 'ndvi_pc50': 37.66867637634277},
{'writing_data': 5.877416372299194, 'ndvi_pc10': 37.55026960372925, 'loading_data': 67.21783351898193, 'ndvi_pc90': 34.27371907234192, 'ndvi_pc50': 33.92675566673279},
{'writing_data': 6.228186845779419, 'ndvi_pc10': 31.5383403301239, 'loading_data': 61.13664984703064, 'ndvi_pc90': 30.51774287223816, 'ndvi_pc50': 30.585197687149048},
{'writing_data': 6.655982971191406, 'ndvi_pc10': 10.241628408432007, 'loading_data': 41.03610324859619, 'ndvi_pc90': 8.946972131729126, 'ndvi_pc50': 10.193110942840576},
{'writing_data': 6.053949356079102, 'ndvi_pc10': 34.719430446624756, 'loading_data': 69.46687150001526, 'ndvi_pc90': 31.912947416305542, 'ndvi_pc50': 34.160250186920166},
{'writing_data': 5.863107919692993, 'ndvi_pc10': 35.627281665802, 'loading_data': 58.374780893325806, 'ndvi_pc90': 35.16462683677673, 'ndvi_pc50': 35.169331073760986},
{'writing_data': 6.245217323303223, 'ndvi_pc10': 26.947230339050293, 'loading_data': 37.8329381942749, 'ndvi_pc90': 28.4262912273407, 'ndvi_pc50': 26.491452932357788},
{'writing_data': 6.1906843185424805, 'ndvi_pc10': 10.243769407272339, 'loading_data': 47.66607213020325, 'ndvi_pc90': 10.901005268096924, 'ndvi_pc50': 9.574926376342773},
{'writing_data': 6.27140212059021, 'ndvi_pc10': 9.982360601425171, 'loading_data': 52.55823802947998, 'ndvi_pc90': 9.319277286529541, 'ndvi_pc50': 9.227921962738037},
{'writing_data': 6.332434177398682, 'ndvi_pc10': 4.836212396621704, 'loading_data': 32.75589728355408, 'ndvi_pc90': 5.307963848114014, 'ndvi_pc50': 4.731549501419067},
{'writing_data': 6.2034995555877686, 'ndvi_pc10': 36.06976509094238, 'loading_data': 81.16117906570435, 'ndvi_pc90': 35.752469539642334, 'ndvi_pc50': 37.97353792190552},
{'writing_data': 6.317094087600708, 'ndvi_pc10': 6.397157907485962, 'loading_data': 32.58416557312012, 'ndvi_pc90': 7.095927000045776, 'ndvi_pc50': 6.454242944717407},
{'writing_data': 6.197620153427124, 'ndvi_pc10': 11.273391008377075, 'loading_data': 38.74477291107178, 'ndvi_pc90': 10.42611837387085, 'ndvi_pc50': 11.03548288345337},
{'writing_data': 6.481883764266968, 'ndvi_pc10': 3.8671746253967285, 'loading_data': 26.47277569770813, 'ndvi_pc90': 3.9668197631835938, 'ndvi_pc50': 3.716965675354004},
{'writing_data': 6.128786563873291, 'ndvi_pc10': 16.900771617889404, 'loading_data': 45.50841689109802, 'ndvi_pc90': 19.169956922531128, 'ndvi_pc50': 16.847289562225342},
{'writing_data': 6.797720909118652, 'ndvi_pc10': 4.179133892059326, 'loading_data': 24.04671049118042, 'ndvi_pc90': 4.420083284378052, 'ndvi_pc50': 4.485124349594116},
{'writing_data': 6.50871467590332, 'ndvi_pc10': 5.876180410385132, 'loading_data': 35.49396777153015, 'ndvi_pc90': 5.70380973815918, 'ndvi_pc50': 5.584086894989014},
{'writing_data': 6.459113836288452, 'ndvi_pc10': 4.990781784057617, 'loading_data': 42.639532804489136, 'ndvi_pc90': 4.918926239013672, 'ndvi_pc50': 4.503567218780518}]
| 165.777778 | 178 | 0.781233 | 881 | 7,460 | 6.365494 | 0.331442 | 0.086305 | 0.083452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.547592 | 0.059249 | 7,460 | 44 | 179 | 169.545455 | 0.251496 | 0 | 0 | 0 | 0 | 0 | 0.300804 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e66654b8447a56b134aceb85a995affba3faf8dc | 168 | py | Python | shop/products/urls.py | jsulopz/django-tutorial | a37361a9b715bd0d183d0d7bd69ef59aacd230d3 | [
"MIT"
] | null | null | null | shop/products/urls.py | jsulopz/django-tutorial | a37361a9b715bd0d183d0d7bd69ef59aacd230d3 | [
"MIT"
] | null | null | null | shop/products/urls.py | jsulopz/django-tutorial | a37361a9b715bd0d183d0d7bd69ef59aacd230d3 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('', views.view_for_products, name='index'),
path('pepa', views.new_view, name='pepa'),
] | 21 | 52 | 0.678571 | 23 | 168 | 4.826087 | 0.608696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.160714 | 168 | 8 | 53 | 21 | 0.787234 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
050da5298ea848311016c309c2041ee71e6847b8 | 614 | py | Python | users/signals.py | maks-nurgazy/student-attendance-menegement | 6389b02ee8309aacbadfeac135146ee7091a85bb | [
"MIT"
] | null | null | null | users/signals.py | maks-nurgazy/student-attendance-menegement | 6389b02ee8309aacbadfeac135146ee7091a85bb | [
"MIT"
] | null | null | null | users/signals.py | maks-nurgazy/student-attendance-menegement | 6389b02ee8309aacbadfeac135146ee7091a85bb | [
"MIT"
] | null | null | null | from django.core.signals import request_finished
from django.db.models.signals import post_save
from django.dispatch import receiver
from users.models import User
# @receiver(request_finished, sender=User)
# def create_user_profile(sender, instance, created, **kwargs):
# print(kwargs)
# if created:
# print(kwargs)
# @receiver(post_delete, sender=User)
# def delete_user_profile(sender, instance, **kwargs):
# roles = instance.roles.all()
# if Role.STUDENT in roles:
# instance.student_profile.save()
# elif Role.TEACHER in roles:
# instance.teacher_profile.save()
| 29.238095 | 63 | 0.71987 | 78 | 614 | 5.538462 | 0.410256 | 0.069444 | 0.060185 | 0.115741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.172638 | 614 | 20 | 64 | 30.7 | 0.850394 | 0.687296 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
053f51cb4db6fe7eb0deb7288a51515320878c20 | 87 | py | Python | utils/clear_terminal.py | LeandroLFE/capmon | 9d1200301628ea4fec0e8ed09d5e9b67a426d923 | [
"MIT"
] | null | null | null | utils/clear_terminal.py | LeandroLFE/capmon | 9d1200301628ea4fec0e8ed09d5e9b67a426d923 | [
"MIT"
] | null | null | null | utils/clear_terminal.py | LeandroLFE/capmon | 9d1200301628ea4fec0e8ed09d5e9b67a426d923 | [
"MIT"
] | null | null | null | from os import system, name
clear_terminal = system('cls' if name == 'nt' else 'clear') | 43.5 | 59 | 0.712644 | 14 | 87 | 4.357143 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149425 | 87 | 2 | 59 | 43.5 | 0.824324 | 0 | 0 | 0 | 0 | 0 | 0.113636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
0566abdb65db9fbc62bb3dc2a69e7540ff6a2ad1 | 339 | py | Python | pystratis/api/federation/requestmodels/atheightrequest.py | TjadenFroyda/pyStratis | 9cc7620d7506637f8a2b84003d931eceb36ac5f2 | [
"MIT"
] | 8 | 2021-06-30T20:44:22.000Z | 2021-12-07T14:42:22.000Z | pystratis/api/federation/requestmodels/atheightrequest.py | TjadenFroyda/pyStratis | 9cc7620d7506637f8a2b84003d931eceb36ac5f2 | [
"MIT"
] | 2 | 2021-07-01T11:50:18.000Z | 2022-01-25T18:39:49.000Z | pystratis/api/federation/requestmodels/atheightrequest.py | TjadenFroyda/pyStratis | 9cc7620d7506637f8a2b84003d931eceb36ac5f2 | [
"MIT"
] | 4 | 2021-07-01T04:36:42.000Z | 2021-09-17T10:54:19.000Z | from pydantic import Field
from pystratis.api import Model
# noinspection PyUnresolvedReferences
class AtHeightRequest(Model):
"""A request model for the federation/mineratheight and federationatheight endpoints.
Args:
block_height (int): The height to query.
"""
block_height: int = Field(alias='blockHeight')
| 24.214286 | 89 | 0.743363 | 38 | 339 | 6.578947 | 0.736842 | 0.088 | 0.112 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.182891 | 339 | 13 | 90 | 26.076923 | 0.902527 | 0.504425 | 0 | 0 | 0 | 0 | 0.074324 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
05827522d49be07384007825cbee0282c1975d19 | 384 | py | Python | nxbt/__init__.py | zfghterb721/nxbt | f27f9aec539199aad92a0edd2bf875649b31ea5b | [
"MIT"
] | 257 | 2020-09-16T05:29:05.000Z | 2022-03-31T07:38:01.000Z | nxbt/__init__.py | zfghterb721/nxbt | f27f9aec539199aad92a0edd2bf875649b31ea5b | [
"MIT"
] | 48 | 2020-10-18T00:52:13.000Z | 2022-03-27T02:02:21.000Z | nxbt/__init__.py | zfghterb721/nxbt | f27f9aec539199aad92a0edd2bf875649b31ea5b | [
"MIT"
] | 37 | 2020-09-16T05:50:05.000Z | 2022-03-31T21:39:55.000Z | from .controller import ControllerServer
from .controller import ControllerProtocol
from .controller import SwitchReportParser
from .controller import SwitchResponses
from .controller import Controller
from .bluez import *
from .nxbt import Nxbt
from .nxbt import Buttons
from .nxbt import Sticks
from .nxbt import JOYCON_L
from .nxbt import JOYCON_R
from .nxbt import PRO_CONTROLLER
| 29.538462 | 42 | 0.841146 | 50 | 384 | 6.4 | 0.3 | 0.15 | 0.2625 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 384 | 12 | 43 | 32 | 0.952381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
556747fbf93023c2764ce2504210ac942a3a6f29 | 1,027 | py | Python | src/asphalt/serialization/serializers/pickle.py | Asphalt-framework/asphalt-serialization | 07fbf1e2295e6e27c9b396f2b88943166759cf32 | [
"Apache-2.0"
] | null | null | null | src/asphalt/serialization/serializers/pickle.py | Asphalt-framework/asphalt-serialization | 07fbf1e2295e6e27c9b396f2b88943166759cf32 | [
"Apache-2.0"
] | null | null | null | src/asphalt/serialization/serializers/pickle.py | Asphalt-framework/asphalt-serialization | 07fbf1e2295e6e27c9b396f2b88943166759cf32 | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
import pickle
from typing import Any
from ..api import Serializer
class PickleSerializer(Serializer):
"""
Serializes objects using the standard library :mod:`pickle` module.
.. warning:: This serializer is insecure because it allows execution of arbitrary
code when deserializing. Avoid using this if at all possible.
:param protocol: pickle protocol level to use (defaults to the highest possible)
"""
__slots__ = "protocol"
def __init__(self, protocol: int = pickle.HIGHEST_PROTOCOL):
assert (
0 <= protocol <= pickle.HIGHEST_PROTOCOL
), f'"protocol" must be between 0 and {pickle.HIGHEST_PROTOCOL}'
self.protocol: int = protocol
def serialize(self, obj: Any) -> bytes:
return pickle.dumps(obj, protocol=self.protocol)
def deserialize(self, payload: bytes) -> Any:
return pickle.loads(payload)
@property
def mimetype(self) -> str:
return "application/python-pickle"
| 27.756757 | 85 | 0.685492 | 121 | 1,027 | 5.694215 | 0.570248 | 0.047896 | 0.091437 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002528 | 0.229796 | 1,027 | 36 | 86 | 28.527778 | 0.868521 | 0.290166 | 0 | 0 | 0 | 0 | 0.129815 | 0.071327 | 0 | 0 | 0 | 0 | 0.055556 | 1 | 0.222222 | false | 0 | 0.222222 | 0.166667 | 0.722222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
558731a52addd34709dde7921bc67fe971c73ba9 | 99 | py | Python | mywebsite/customercare/apps.py | Zadigo/ecommerce_template | a4572c3faeaeb9cd399351c0fd1f19a4ef94de27 | [
"MIT"
] | 16 | 2020-07-01T03:42:40.000Z | 2022-02-21T21:02:27.000Z | mywebsite/customercare/apps.py | Zadigo/ecommerce_template | a4572c3faeaeb9cd399351c0fd1f19a4ef94de27 | [
"MIT"
] | 14 | 2020-11-19T18:55:28.000Z | 2022-02-01T22:08:23.000Z | mywebsite/customercare/apps.py | Zadigo/ecommerce_template | a4572c3faeaeb9cd399351c0fd1f19a4ef94de27 | [
"MIT"
] | 7 | 2020-06-30T23:55:36.000Z | 2021-11-12T00:06:40.000Z | from django.apps import AppConfig
class CustomercareConfig(AppConfig):
name = 'customercare'
| 16.5 | 36 | 0.777778 | 10 | 99 | 7.7 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151515 | 99 | 5 | 37 | 19.8 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0.121212 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
55873900a38007b737e2e82333a9960afdfbad3b | 434 | py | Python | cgi-bin/nph-sys-reboot.py | kuuen/drive-recorder | 9fac7e629460d5358af417f759573bbbff83519d | [
"MIT"
] | null | null | null | cgi-bin/nph-sys-reboot.py | kuuen/drive-recorder | 9fac7e629460d5358af417f759573bbbff83519d | [
"MIT"
] | null | null | null | cgi-bin/nph-sys-reboot.py | kuuen/drive-recorder | 9fac7e629460d5358af417f759573bbbff83519d | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import os
import subprocess
import multrunchk
import time
# 多重起動チェック
if multrunchk.chekMultipleRun('nph-sys-reboot.py', '') == False:
print('HTTP/1.1 302 Found')
print('Location: ../index.html')
print('')
quit()
# 再起動コマンド発行。事前にvisudoに登録しておく必要がある
subprocess.Popen(['sudo', '/sbin/reboot'])
# 処理結果を返すほうが親切か？
print('HTTP/1.1 302 Found')
print('Location: ../index.html')
print('')
| 17.36 | 64 | 0.679724 | 54 | 434 | 5.462963 | 0.62963 | 0.061017 | 0.067797 | 0.074576 | 0.311864 | 0.311864 | 0.311864 | 0.311864 | 0.311864 | 0.311864 | 0 | 0.031579 | 0.124424 | 434 | 24 | 65 | 18.083333 | 0.744737 | 0.218894 | 0 | 0.461538 | 0 | 0 | 0.345345 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.307692 | 0 | 0.307692 | 0.461538 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 3 |
55ad8013f89b7b4ed6a37bb911cfa22884a597fb | 44,840 | py | Python | pycolo/layers.py | sieben/pycolo | a272db31e33a384e050c0b68513b96ead76d10ae | [
"0BSD"
] | null | null | null | pycolo/layers.py | sieben/pycolo | a272db31e33a384e050c0b68513b96ead76d10ae | [
"0BSD"
] | 1 | 2021-01-05T13:32:43.000Z | 2021-01-05T13:32:43.000Z | pycolo/layers.py | remyleone/pycolo | a272db31e33a384e050c0b68513b96ead76d10ae | [
"0BSD"
] | 1 | 2015-05-13T13:59:52.000Z | 2015-05-13T13:59:52.000Z | # coding=utf-8
import logging
import random
from threading import Thread, Timer
from pycolo import DEFAULT_OVERALL_TIMEOUT
from pycolo.message import Message
class Layer:
"""
An abstract Layer class that enforced a uniform interface for building
a layered communications stack.
"""
receivers = list()
numMessagesSent = 0
numMessagesReceived = 0
# def __init__(self, name):
# self.name = name
# def __str__(self):
# return self.name
def sendMessage(self, msg):
"""
:param msg:
"""
if msg:
self.doSendMessage(msg)
self.numMessagesSent += 1
def receiveMessage(self, msg):
"""
:param msg:
"""
if msg:
self.numMessagesReceived += 1
self.doReceiveMessage(msg)
def doSendMessage(self, msg):
"""
:param msg:
"""
pass
def doReceiveMessage(self, msg):
"""
:param msg:
"""
pass
def deliverMessage(self, msg):
"""
pass message to registered receivers
:param msg:
"""
raise NotImplementedError
# if self.receivers:
# for receiver in self.receivers:
# receiver.receiveMessage(msg)
def registerReceiver(self, receiver):
"""
check for valid receiver
:param receiver:
"""
raise NotImplementedError
# if receiver and receiver != self:
# # lazy creation of receiver list
# if not self.receivers:
# self.receivers = list()
# # add receiver to list
# self.receivers.append(receiver)
def unregisterReceiver(self, receiver):
"""
remove receiver from list
:param receiver:
"""
raise NotImplementedError
# if self.receivers:
# self.receivers.remove(receiver)
class AdverseLayer(Layer):
"""
This class describes the functionality of a layer that drops messages
with a given probability in order to test retransmissions between
MessageLayer and UDPLayer etc.
"""
def __init__(self, txPacketLossProbability=0.0, rxPacketLossProbability=0.0):
self.txPacketLossProbability = txPacketLossProbability
self.rxPacketLossProbability = rxPacketLossProbability
def doSendMessage(self, msg):
"""
Send a message if the randomly picked number tell it so.
:param msg:
"""
raise NotImplementedError
# if random.SystemRandom() >= self.txPacketLossProbability:
# self.sendMessageOverLowerLayer(msg)
# else:
# logging.info("[%s] Outgoing message dropped: %s" % str(self), msg.key())
def doReceiveMessage(self, msg):
"""
Receive a message if the randomly picked number tell it so.
:param msg:
"""
raise NotImplementedError
# if random.SystemRandom() >= self.rxPacketLossProbability:
# self.deliverMessage(msg)
# else:
# logging.info("[%s] Incoming message dropped: %s", str(self), msg.key())
class MatchingLayer(Layer):
"""
This class matches the request/response pairs using the token option. It
must be below the TransferLayer, which requires set buddies for each
message ({@link Response#getRequest()} and {@link Request#getResponse()}).
"""
#pairs = dict()
class RequestResponsePair:
""" Entity class to keep state of transfers """
# key = str()
# request = request()
def __init__(self):
raise NotImplementedError
# super(MatchingLayer, self).__init__()
def doSendMessage(self, msg):
raise NotImplementedError
# if isinstance(msg, (request,)):
# self.addOpenRequest(msg)
# self.sendMessageOverLowerLayer(msg)
def doReceiveMessage(self, msg):
raise NotImplementedError
# if isinstance(msg, (Response,)):
# # check for missing token
# if not self.pair and len(self.length):
# logging.info("Remote endpoint failed to echo token: {:s}".format(msg.key()))
# # TODO try to recover from peerAddress
# # let timeout handle the problem
# return
# if self.pair:
# # attach request and response to each other
# self.response.setRequest(self.pair.request)
# self.pair.request.setResponse(self.response)
# logging.info("Matched open request: {:s}".format(self.response.sequenceKey()))
# # TODO: ObservingManager.getInstance().isObserving(msg.exchangeKey());
# if msg.getFirstOption(OptionNumberRegistry.OBSERVE) is None:
# self.removeOpenRequest(self.response.sequenceKey())
# else:
# logging.info("Dropping unexpected response: {:s}".format(self.response.sequenceKey()))
# return
# self.deliverMessage(msg)
def addOpenRequest(self, request):
raise NotImplementedError
# # create new Transaction
# exchange = self.RequestResponsePair()
# exchange.key = request.sequenceKey()
# exchange.request = request
# logging.info("Storing open request: {:s}".format(exchange.key))
# # associate token with Transaction
# self.pairs.put(exchange.key, exchange)
# return exchange
def getOpenRequest(self, key):
raise NotImplementedError
# return self.pairs.get(key)
def removeOpenRequest(self, key):
raise NotImplementedError
# exchange = self.pairs.remove(key)
# logging.info("Cleared open request: {:s}".format(exchange.key))
def getStats(self):
raise NotImplementedError
# stats = dict()
# stats["Open requests"] = self.pairs
# stats["Messages sent"] = self.numMessagesSent
# stats["Messages received"] = self.numMessagesReceived
# return str(stats)
class UpperLayer(Layer):
""" generated source for class UpperLayer """
def sendMessageOverLowerLayer(self, msg):
# """ generated source for method sendMessageOverLowerLayer """
# # check if lower layer assigned
# if self.lowerLayer is not None:
# self.lowerLayer.sendMessage(msg)
# else:
# logging.critical("[%s] ERROR: No lower layer present", self.getClass().__name__)
raise NotImplementedError
def setLowerLayer(self, layer):
""" generated source for method setLowerLayer """
# # unsubscribe from old lower layer
# if self.lowerLayer is not None:
# self.lowerLayer.unregisterReceiver(self)
# # set new lower layer
# lowerLayer = layer
# # subscribe to new lower layer
# if lowerLayer is not None:
# lowerLayer.registerReceiver(self)
raise NotImplementedError
def getLowerLayer(self):
""" generated source for method getLowerLayer """
#return self.lowerLayer
raise NotImplementedError
#lowerLayer = layers()
class TransactionLayer(Layer):
"""
The class TransactionLayer provides the functionality of the CoAP messaging
layer as a subclass of {@link UpperLayer}. It introduces reliable transport
of confirmable messages over underlying layers by making use of
retransmissions and exponential backoff, matching of confirmables to their
corresponding ACK / RST, detection and cancellation of duplicate messages,
retransmission of ACK / RST messages upon receiving duplicate confirmable
messages.
"""
# The message ID used for newly generated messages.
# currentMID = random.SystemRandom() * 0x10000
def nextMessageID(self):
"""
Returns the next message ID to use out of the consecutive 16 - bit
range.
@return the current message ID
"""
raise NotImplementedError
# self.currentMID += 1
# self.currentMID %= 0x10000
# return self.currentMID
# The timer daemon to schedule retransmissions.
# timer = Timer(true) # run as daemon
# The Table to store the transactions of outgoing messages.
# transactionTable = {}
# The cache for duplicate detection.
# dupCache = MessageCache()
# Cache used to retransmit replies to incoming messages
# replyCache = MessageCache()
class Transaction:
"""
Entity class to keep state of retransmissions.
"""
# msg = Message()
# retransmitTask = RestransmitTask()
# numRetransmit = 0
# timeout = 0 # to satisfy RESPONSE_RANDOM_FACTOR
class MessageCache:
"""
The MessageCache is a utility class used for duplicate detection and
reply retransmissions. It is a ring buffer whose size is configured
through the Californium properties file.
"""
def removeEldestEntry(eldest):
raise NotImplementedError
# return size() > MESSAGE_CACHE_SIZE
# class RetransmitTask(Timer):
# """
# Utility class to handle timeouts.
# """
# transaction = Transaction()
#
# def RetransmitTask(transaction):
# self.transaction = transaction
#
# def run():
# handleResponseTimeout(transaction)
def initialTimeout(self):
"""
Calculates the initial timeout for outgoing confirmable messages.
:return: the timeout in milliseconds
"""
raise NotImplementedError
# min = RESPONSE_TIMEOUT
# f = RESPONSE_RANDOM_FACTOR
# return min + (min * (f - 1) * random.SystemRandom())
def doSendMessage(msg):
raise NotImplementedError
# set message ID
# if msg.getMID() < 0:
# msg.setMID(self.nextMessageID())
#
# # check if message needs confirmation, i.e., a reply is expected
# if msg.isConfirmable():
# # create new transmission context for retransmissions
# self.addTransaction(msg)
#
# elif msg.isReply():
# # put message into ring buffer in case peer retransmits
# self.replyCache.put(msg.transactionKey(), msg)
#
# # send message over unreliable channel
# self.sendMessageOverLowerLayer(msg)
def doReceiveMessage(msg):
raise NotImplementedError
# # check for duplicate
# if msg.key() in dupCache:
# # check for retransmitted Confirmable
# if msg.isConfirmable():
# # retrieve cached reply
# reply = replyCache.get(msg.transactionKey())
# if reply:
# # retransmit reply
# try:
# logging.info("Replied to duplicate confirmable: %s" % msg.key())
# self.sendMessageOverLowerLayer(reply)
# except IOException
# e:
# logging.severe("Replying to duplicate confirmable failed: %s\n%s", msg.key(), e.getMessage())
# else:
# logging.info("Dropped duplicate confirmable without cached reply: %s" % msg.key())
#
# # drop duplicate anyway
# return
#
# else:
# # ignore duplicate
# logging.info(String.format("Dropped duplicate: %s", msg.key()))
# return
#
# else:
# # cache received message
# dupCache.put(msg.key(), msg)
#
#
# # check for reply to CON and remove transaction
# if msg.isReply():
# # retrieve transaction for the incoming message
# Transaction
# transaction = getTransaction(msg)
#
# if transaction:
# # transmission completed
# removeTransaction(transaction)
#
# if msg.isEmptyACK():
# # transaction is complete, no information for higher layers
# return
#
# else
# if (msg.getType() == Message.messageType.RST):
# handleIncomingReset(msg)
# return
#
# elif (msg.getType() == Message.messageType.RST):
# handleIncomingReset(msg)
# return
#
# else:
# # ignore unexpected reply except RST, which could match to a NON sent by the endpoint
# logging.warning("Dropped unexpected reply: %s", msg.key())
# return
#
# # Only accept Responses here, Requests must be handled at application level
# if (msg instanceof Response & & msg.isConfirmable()) {
# try:
# logging.info("Accepted confirmable response: %s" % msg.key())
# sendMessageOverLowerLayer(msg.newAccept())
# except IOException as e:
# logging.severe("Accepting confirmable failed: %s\n%s" % msg.key(), e.getMessage())
# # pass message to registered receivers
# deliverMessage(msg)
def handleIncomingReset(msg):
# remove possible observers
raise NotImplementedError
# ObservingManager.getInstance().removeObserver(msg.getPeerAddress().toString(), msg.getMID())
def handleResponseTimeout(transaction):
raise NotImplementedError
# max = MAX_RETRANSMIT
#
# # check if limit of retransmissions reached
# if transaction.numRetransmit < max:
# # retransmit message
# transaction.msg.setRetransmissioned(transaction.numRetransmit)
#
# logging.info("Retransmitting %s (%d of %d)" % transaction.msg.key(), transaction.numRetransmit, max)
#
# try:
# sendMessageOverLowerLayer(transaction.msg)
# except IOException, e:
#
# logging.severe("Retransmission failed: %s", e.getMessage())
# removeTransaction(transaction)
#
# # schedule next retransmission
# scheduleRetransmission(transaction)
#
# return
#
# else:
# # cancel transmission
# removeTransaction(transaction)
#
# # cancel observations
# ObservingManager.getInstance().removeObserver(transaction.msg.getPeerAddress().toString())
#
# # invoke event handler method
# transaction.msg.handleTimeout()
def addTransaction(msg):
raise NotImplementedError
# initialize new transmission context
# transaction = Transaction()
# transaction.msg = msg
# transaction.numRetransmit = 0
# transaction.retransmitTask = None
#
# transactionTable.put(msg.transactionKey(), transaction)
#
# # schedule first retransmission
# self.scheduleRetransmission(transaction)
#
# logging.info("Stored new transaction for %s" % msg.key())
#
# return transaction
def getTransaction(msg):
raise NotImplementedError
# return transactionTable.get(msg.transactionKey())
def removeTransaction(transaction):
# cancel any pending retransmission schedule
raise NotImplementedError
# transaction.retransmitTask.cancel()
# transaction.retransmitTask = None
#
# # remove transaction from table
# self.transactionTable.remove(transaction.msg.transactionKey())
#
# logging.info("Cleared transaction for %s" % transaction.msg.key())
def scheduleRetransmission(transaction):
raise NotImplementedError
# # cancel existing schedule (if any)
# if transaction.retransmitTask:
# transaction.retransmitTask.cancel()
#
# # create new retransmission task
# transaction.retransmitTask = RetransmitTask(transaction)
#
# # calculate timeout using exponential back - off
#
# if transaction.timeout == 0:
# # use initial timeout
# transaction.timeout = self.initialTimeout()
# else:
# # double timeout
# transaction.timeout *= 2
#
# # schedule retransmission task
# timer.schedule(transaction.retransmitTask, transaction.timeout)
def __str__(self):
raise NotImplementedError
# stats = dict()
# stats["Current message ID"] = self.currentMID
# stats["Open transactions"] = self.transactionTable.size()
# stats["Messages sent"] = self.numMessagesSent
# stats["Messages received"] = self.numMessagesReceived
# return str(stats)
class TransferLayer(Layer):
"""
The class TransferLayer provides support for
<http://tools.ietf.org/html/draft-ietf-core-block">blockwise transfers
{@link #doSendMessage(Message)} and {@link #doReceiveMessage(Message)} do
not distinguish between clients and server directly, but rather between
incoming and outgoing transfers. This saves duplicate code, but introduces
rather confusing Request/Response checks at various places.
TODO: Explore alternative designs.
"""
class TransferContext:
#cache = Message()
#uriPath = ""
# current = BlockOption()
# TODO: timer
#def __init__(self, msg):
# raise NotImplementedError
#
# if isinstance(msg, (request,)):
# self.cache = msg
# self.uriPath = msg.getUriPath()
# self.current = msg.getFirstOption(options.BLOCK1)
# elif isinstance(msg, (Response,)):
# msg.requiresToken(False)
# # FIXME check if still required after new TokenLayer
# self.cache = msg
# self.uriPath = msg.getRequest().getUriPath()
# self.current = msg.getFirstOption(options.BLOCK2)
# logging.info("Created new transfer context for {:s}: {:s}".format(self.uriPath, msg.sequenceKey()))
incoming = dict()
outgoing = dict()
defaultSZX = int()
def __init__(self, defaultBlockSize):
raise NotImplementedError
# super(TransferLayer, self).__init__()
# if defaultBlockSize == 0:
# defaultBlockSize = Properties.std.getInt("DEFAULT_BLOCK_SIZE")
# if defaultBlockSize > 0:
# self.defaultSZX = BlockOption.encodeSZX(defaultBlockSize)
# if not BlockOption.validSZX(self.defaultSZX):
# self.defaultSZX = 6 if defaultBlockSize > 1024 else BlockOption.encodeSZX(defaultBlockSize & 0x07f0)
# logging.warning("Unsupported block size {:d}, using {:d} instead".format(defaultBlockSize, BlockOption.decodeSZX(self.defaultSZX)))
# else:
# self.defaultSZX = -1
def doSendMessage(self, msg):
raise NotImplementedError
# sendSZX = self.defaultSZX
# sendNUM = 0
# if isinstance(msg, (Response,)) and msg.getRequest() is not None:
# if self.buddyBlock:
# if self.buddyBlock.getSZX() < self.defaultSZX:
# sendSZX = self.buddyBlock.getSZX()
# sendNUM = self.buddyBlock.getNUM()
# if msg.payloadSize() > BlockOption.decodeSZX(sendSZX):
# if self.msgBlock is not None:
# if self.block1 is not None and self.block1.getM() or block2 is not None and self.block2.getM():
# msg.setOption(self.block1)
# msg.setOption(self.block2)
# self.outgoing.put(msg.sequenceKey(), self.transfer)
# logging.info("Caching blockwise transfer for NUM {:d}: {:s}".format(sendNUM, msg.sequenceKey()))
# else:
# logging.info("Answering block request without caching: {:s} | {:s}".format(msg.sequenceKey(), block2))
# self.sendMessageOverLowerLayer(self.msgBlock)
# else:
# logging.info("Rejecting initial out-of-scope request: {:s} | NUM: {:d}, SZX: {:d} ({:d} bytes), M: n/a, {:d} bytes available".format(msg.sequenceKey(), sendNUM, sendSZX, BlockOption.decodeSZX(sendSZX), msg.payloadSize()))
# self.handleOutOfScopeError(msg.newReply(True))
# else:
# self.sendMessageOverLowerLayer(msg)
def doReceiveMessage(self, msg):
raise NotImplementedError
# blockIn = None
# blockOut = None
# if isinstance(msg, (request,)):
# blockIn = msg.getFirstOption(options.BLOCK1)
# blockOut = msg.getFirstOption(options.BLOCK2)
# elif isinstance(msg, (Response,)):
# blockIn = msg.getFirstOption(options.BLOCK2)
# blockOut = msg.getFirstOption(options.BLOCK1)
# if blockOut is not None:
# blockOut.setNUM(blockOut.getNUM() + 1)
# else:
# logging.warning("Unknown message type received: {:s}".format(msg.key()))
# return
# if blockIn is None and msg.requiresBlockwise():
# blockIn = BlockOption(options.BLOCK1, 0, self.defaultSZX, True)
# self.handleIncomingPayload(msg, blockIn)
# return
# elif blockIn is not None:
# self.handleIncomingPayload(msg, blockIn)
# return
# elif blockOut is not None:
# logging.info("Received demand for next block: {:s} | {:s}".format(msg.sequenceKey(), blockOut))
# if self.transfer:
# if isinstance(msg, (request,)) and not msg.getUriPath() == transfer.uriPath:
# self.outgoing.remove(msg.sequenceKey())
# logging.info("Freed blockwise transfer by client token reuse: {:s}".format(msg.sequenceKey()))
# else:
# if isinstance(msg, (request,)):
# self.transfer.cache.setMID(msg.getMID())
# if next is not None:
# try:
# logging.info("Sending next block: {:s} | {:s}".format(next.sequenceKey(), blockOut))
# self.sendMessageOverLowerLayer(next)
# except IOException as e:
# logging.critical("Failed to send block response: {:s}".format(e.getMessage()))
# if not self.respBlock.getM() and isinstance(msg, (request,)):
# self.outgoing.remove(msg.sequenceKey())
# logging.info("Freed blockwise download by completion: {:s}".format(next.sequenceKey()))
# return
# elif isinstance(msg, (Response,)) and not blockOut.getM():
# self.outgoing.remove(msg.sequenceKey())
# logging.info("Freed blockwise upload by completion: {:s}".format(msg.sequenceKey()))
# msg.setRequest(self.transfer.cache)
# else:
# logging.warning("Rejecting out-of-scope demand for cached transfer (freed): {:s} | {:s}, {:d} bytes available".format(msg.sequenceKey(), blockOut, transfer.cache.payloadSize()))
# self.outgoing.remove(msg.sequenceKey())
# self.handleOutOfScopeError(msg.newReply(True))
# return
# elif isinstance(msg, (Response,)):
# if self.transfer:
# msg.setRequest(self.transfer.cache)
# self.outgoing.remove(msg.sequenceKey())
# logging.info("Freed outgoing transfer by client abort: {:s}".format(msg.sequenceKey()))
# transfer = self.incoming.get(msg.sequenceKey())
# if transfer is not None:
# msg.setRequest(transfer.cache)
# self.incoming.remove(msg.sequenceKey())
# logging.info("Freed incoming transfer by client abort: {:s}".format(msg.sequenceKey()))
# self.deliverMessage(msg)
raise NotImplementedError
def handleIncomingPayload(self, msg, blockOpt):
raise NotImplementedError
# transfer = self.incoming.get(msg.sequenceKey())
# if blockOpt.getNUM() > 0 and transfer is not None:
# if blockOpt.getNUM() * blockOpt.getSize() == (transfer.current.getNUM() + 1) * transfer.current.getSize():
# transfer.cache.appendPayload(msg.getPayload())
# transfer.cache.setMID(msg.getMID())
# logging.info("Received next block: {:s} | {:s}".format(msg.sequenceKey(), blockOpt))
# else:
# logging.info("Dropping wrong block: {:s} | {:s}".format(msg.sequenceKey(), blockOpt))
# elif blockOpt.getNUM() == 0 and msg.payloadSize() > 0:
# if msg.payloadSize() > blockOpt.getSize():
# blockOpt.setNUM(newNUM - 1)
# msg.setPayload(Arrays.copyOf(msg.getPayload(), newNUM))
# transfer = self.TransferContext(msg)
# self.incoming.put(msg.sequenceKey(), transfer)
# logging.info("Incoming blockwise transfer: {:s} | {:s}".format(msg.sequenceKey(), blockOpt))
# else:
# logging.info("Rejecting out-of-order block: {:s} | {:s}".format(msg.sequenceKey(), blockOpt))
# self.handleIncompleteError(msg.newReply(True))
# return
# if blockOpt.getM():
# if self.demandSZX > self.defaultSZX:
# demandNUM = self.demandSZX / self.defaultSZX * self.demandNUM
# demandSZX = self.defaultSZX
# if isinstance(msg, (Response,)):
# reply = request(codes.METHOD_GET, not msg.isNonConfirmable())
# reply.setURI("coap://" + msg.getPeerAddress().__str__() + transfer.uriPath)
# demandNUM += 1
# elif isinstance(msg, (request,)):
# reply = Response(codes.RESP_VALID)
# reply.setType(self.messageType.ACK if msg.isConfirmable() else self.messageType.NON)
# reply.setPeerAddress(msg.getPeerAddress())
# if msg.isConfirmable():
# reply.setMID(msg.getMID())
# else:
# logging.critical("Unsupported message type: {:s}".format(msg.key()))
# return
# reply.setOption(msg.getFirstOption(options.TOKEN))
# reply.setOption(next)
# try:
# logging.info("Demanding next block: {:s} | {:s}".format(reply.sequenceKey(), next))
# sendMessageOverLowerLayer(reply)
# except IOException as e:
# logging.critical("Failed to request block: {:s}".format(e.getMessage()))
# transfer.current = blockOpt
# else:
# transfer.cache.setOption(blockOpt)
# logging.info("Finished blockwise transfer: {:s}".format(msg.sequenceKey()))
# self.incoming.remove(msg.sequenceKey())
# self.deliverMessage(transfer.cache)
def handleOutOfScopeError(self, resp):
raise NotImplementedError
# """ generated source for method handleOutOfScopeError """
# resp.setCode(codes.RESP_BAD_REQUEST)
# resp.setPayload("BlockOutOfScope")
# try:
# sendMessageOverLowerLayer(resp)
# except IOException as e:
# logging.critical("Failed to send error message: {:s}".format(e.getMessage()))
def handleIncompleteError(self, resp):
raise NotImplementedError
# """ generated source for method handleIncompleteError """
# resp.setCode(codes.RESP_REQUEST_ENTITY_INCOMPLETE)
# resp.setPayload("Start with block num 0")
# try:
# sendMessageOverLowerLayer(resp)
# except IOException as e:
# logging.critical("Failed to send error message: {:s}".format(e.getMessage()))
def getBlock(cls, msg, num, szx):
raise NotImplementedError
# """ generated source for method getBlock """
# blockSize = 1 << (szx + 4)
# payloadOffset = num * blockSize
# payloadLeft = msg.payloadSize() - payloadOffset
# if payloadLeft > 0:
# if isinstance(msg, (request,)):
# block = request(msg.getCode(), msg.isConfirmable())
# else:
# block = Response(msg.getCode())
# if num == 0 and msg.getType() == Message.messageType.CON:
# block.setType(Message.messageType.CON)
# else:
# block.setType(Message.messageType.NON if msg.isNonConfirmable() else Message.messageType.ACK)
# block.setMID(msg.getMID())
# block.setPeerAddress(msg.getPeerAddress())
# for opt in msg.getOptions():
# block.addOption(opt)
# if not m:
# blockSize = payloadLeft
# System.arraycopy(msg.getPayload(), payloadOffset, blockPayload, 0, blockSize)
# block.setPayload(blockPayload)
# if isinstance(msg, (request,)):
# blockOpt = BlockOption(OptionNumberRegistry.BLOCK1, num, szx, m)
# else:
# blockOpt = BlockOption(OptionNumberRegistry.BLOCK2, num, szx, m)
# block.setOption(blockOpt)
# return block
# else:
# return None
def getStats(self):
raise NotImplementedError
# stats = {"Default block size": BlockOption.decodeSZX(self.defaultSZX),
# "Outgoing cache size": len(self.outgoing), "Incoming cache size": len(self.incoming),
# "Messages sent": self.numMessagesSent, "Messages received": self.numMessagesReceived}
# return str(stats)
class TokenLayer(UpperLayer):
"""
This class takes care of unique tokens for each sequence of request/response
exchanges.
Additionally, the TokenLayer takes care of an overall timeout for each
request/response exchange.
"""
#exchanges = dict()
# A timer for scheduling overall request timeouts.
#timer = Timer(True)
# The time to wait for requests to complete, in milliseconds.
#sequenceTimeout = 0
class RequestResponseSequence:
"""
Entity class to keep state of transfers
"""
# public String key public Request request
# public
# TimerTask
# timeoutTask
class TimeoutTask: # from TimerTask
# """
# Utility class to provide transaction timeouts
# """
def run(self, sequence):
raise NotImplementedError
#self.transferTimedOut(sequence)
def __init__(self, sequence, sequenceTimeout=DEFAULT_OVERALL_TIMEOUT):
raise NotImplementedError
# member initialization
# self.sequenceTimeout = sequenceTimeout
# self.sequence = sequence
def doSendMessage(msg):
raise NotImplementedError
# # set token option if required
# if msg.requiresToken():
# msg.setToken(TokenManager.getInstance().acquireToken(true))
#
# # use overall timeout for clients (e.g., server crash after separate response ACK)
# if msg is Request:
# logging.info(String.format("Requesting response for %s: %s", ((Request)
# msg).getUriPath(), msg.sequenceKey()));
# addExchange((Request)
# msg);
# elif (msg.getCode() == codes.EMPTY_MESSAGE):
# logging.info(String.format("Accepting request: %s", msg.key()))
# else:
# logging.info(String.format("Responding request: %s", msg.sequenceKey()))
#
# self.sendMessageOverLowerLayer(msg)
def doReceiveMessage(msg):
raise NotImplementedError
# if (msg
# instanceof
# Response) {
#
# response = (Response)
# msg
#
# RequestResponseSequence
# sequence = getExchange(msg.sequenceKey())
#
# # check for missing token
# if (not sequence and not response.getToken()):
# logging.warning("Remote endpoint failed to echo token: %s" % msg.key())
#
# # TODO try to recover from peerAddress
#
#
# if sequence:
# # cancel timeout
# sequence.timeoutTask.cancel()
#
# # TODO separate observe registry
# if msg.getFirstOption(options.OBSERVE) == null:
# removeExchange(msg.sequenceKey())
#
# logging.info("Incoming response from %s: %s # RTT: %fms", ((Response)
# msg).getRequest().getUriPath(), msg.sequenceKey(), ((Response)
# msg).getRTT()));
# deliverMessage(msg)
#
# else:
# logging.warning("Dropping unexpected response: %s", response.sequenceKey())
#
# elif msg is Request:
# logging.info("Incoming request: %s" % msg.sequenceKey())
#
# self.deliverMessage(msg)
def addExchange(request):
raise NotImplementedError
# be aware when manually setting tokens, as request/response will be replace
# self.removeExchange(request.sequenceKey())
#
# # create new Transaction
# RequestResponseSequence
# sequence = new
# RequestResponseSequence()
# sequence.key = request.sequenceKey()
# sequence.request = request
# sequence.timeoutTask = new
# TimeoutTask(sequence)
#
# # associate token with Transaction
# exchanges.put(sequence.key, sequence)
#
# timer.schedule(sequence.timeoutTask, sequenceTimeout)
#
# logging.fine("Stored new exchange: %s" % sequence.key)
#
# return sequence
def getExchange(key):
raise NotImplementedError
# return exchanges.get(key)
def removeExchange(key):
raise NotImplementedError
# exchange = exchanges.remove(key)
#
# if exchange:
# exchange.timeoutTask.cancel()
# TokenManager.getInstance().releaseToken(exchange.request.getToken())
# logging.finer(String.format("Cleared exchange: %s", exchange.key))
def transferTimedOut(exchange):
raise NotImplementedError
# cancel transaction
# self.removeExchange(exchange.key)
#
# logging.warning("Request/Response exchange timed out: %s" % exchange.request.sequenceKey())
#
# exchange.request.handleTimeout() # call event handler
def getStats(self):
raise NotImplementedError
# stats = dict()
#
# stats["Request-Response exchanges"] = self.exchanges.size()
# stats["Messages sent"] = self.numMessagesSent
# stats["Messages received"] = self.numMessagesReceived
#
# return str(stats)
class UDPLayer(Layer):
"""
The class UDPLayer exchanges CoAP messages with remote endpoints using UDP
datagrams. It is an unreliable channel and thus datagrams may arrive out of
order, appear duplicated, or are lost without any notice, especially on
lossy physical layers.
The UDPLayer is the base layer of the stack, sub-calssing {@link Layer}.
Any {@link UpperLayer} can be stacked on top, using a Communicator as
stack builder.
"""
# The UDP socket used to send and receive datagrams
# TODO Use MulticastSocket
#socket = DatagramSocket()
# The thread that listens on the socket for incoming datagrams
#receiverThread = ReceiverThread()
# Inner Classes //////////////////////////////////////////////////////////
class ReceiverThread(Thread):
""" generated source for class ReceiverThread """
def __init__(self):
raise NotImplementedError
# """ generated source for method __init__ """
# super(ReceiverThread, self).__init__("ReceiverThread")
def run(self):
""" generated source for method run """
# always listen for incoming datagrams
# while True:
# # allocate buffer
# # +1 to check for > RX_BUFFER_SIZE
# # initialize new datagram
# # receive datagram
# try:
# self.socket.receive(datagram)
# except IOException as e:
# logging.critical("Could not receive datagram: %s" % e.getMessage())
# continue
# # TODO: Dispatch to worker thread
# self.datagramReceived(self.datagram)
def __init__(self, port, daemon):
"""
Constructor for a new UDP layer
@param port The local UDP port to listen for incoming messages
@param daemon True if receiver thread should terminate with main thread
"""
raise NotImplementedError
# super(UDPLayer, self).__init__()
# # initialize members
# self.socket = DatagramSocket(port)
# self.receiverThread = self.ReceiverThread()
# # decide if receiver thread terminates with main thread
# self.receiverThread.setDaemon(daemon)
# # start listening right from the beginning
# self.receiverThread.start()
def setDaemon(self, on):
"""
Decides if the listener thread persists after the main thread
terminates
@param on True if the listener thread should stay alive after the main
thread terminates. This is useful for e.g. server applications
"""
raise NotImplementedError
# self.receiverThread.setDaemon(on)
def doSendMessage(self, msg):
raise NotImplementedError
# payload = msg.toByteArray() # retrieve payload
# # create datagram
# datagram = DatagramPacket(payload, msg.getPeerAddress().getAddress(), msg.getPeerAddress().getPort(),)
# # remember when this message was sent for the first time
# # set timestamp only once in order
# # to handle retransmissions correctly
# if msg.getTimestamp() == -1:
# msg.setTimestamp(System.nanoTime())
# # send it over the UDP socket
# self.socket.send(datagram)
def doReceiveMessage(self, msg):
raise NotImplementedError
# pass message to registered receivers
# self.deliverMessage(msg)
def datagramReceived(self, datagram):
raise NotImplementedError
# if datagram.getLength() > 0:
# # get current time
# # extract message data from datagram
# # create new message from the received data
# if self.msg is not None:
# # remember when this message was received
# self.msg.setTimestamp(timestamp)
# self.msg.setPeerAddress(EndpointAddress(datagram.getAddress(), datagram.getPort()))
# if datagram.getLength() > Properties.std.getInt("RX_BUFFER_SIZE"):
# logging.info("Marking large datagram for blockwise transfer: {:s}".format(msg.key()))
# self.msg.requiresBlockwise(True)
# # protect against unknown exceptions
# try:
# # call receive handler
# receiveMessage(msg)
# except Exception as e:
# e.with_traceback()
# logging.critical(self.builder.__str__())
# else:
# logging.critical("Illegal datagram received:\n%s" % data.__str__())
# else:
# logging.info("Dropped empty datagram from: {:s}:{:d}".format(datagram.getAddress().getHostName(), datagram.getPort()))
def isDaemon(self):
"""
Checks whether the listener thread persists after the main thread
terminates
@return True if the listener thread stays alive after the main thread
terminates. This is useful for e.g. server applications
"""
raise NotImplementedError
#return self.receiverThread.isDaemon()
def getPort(self):
raise NotImplementedError
# return self.socket.getLocalPort()
def getStats(self):
raise NotImplementedError
# stats = dict()
# stats["UDP port"] = self.port
# stats["Messages sent"] = self.numMessagesSent
# stats["Messages received"] = self.numMessagesReceived
# return str(stats)
class Communicator(UpperLayer):
"""
The class Communicator provides the message passing system and builds the
communication stack through which messages are sent and received. As a
subclass of {@link UpperLayer} it is actually a composite layer that contains
the subsequent layers in the order defined in {@link #buildStack()}.
Endpoints must register as a receiver using {@link #registerReceiver(MessageReceiver)}.
Prior to that, they should configure the Communicator using @link {@link #setup(int, boolean)}.
A client only using {@link Request}s are not required to do any of that.
Here, {@link Message}s will create the required instance automatically.
The Communicator implements the Singleton pattern, as there should only be
one stack per endpoint and it is required in different contexts to send a
message. It is not using the Enum approach because it still needs to inherit
from {@link UpperLayer}.
"""
# singleton = None
# udpPort = 0
# runAsDaemon = True
#
# transferBlockSize = 0
#
# tokenLayer = TokenLayer()
# transferLayer = TransferLayer()
# matchingLayer = MatchingLayer()
# transactionLayer = TransactionLayer()
# adverseLayer = AdverseLayer()
# udpLayer = UDPLayer()
def __init__(self):
"""
Constructor for a new Communicator
@param port The local UDP port to listen for incoming messages
@param daemon True if receiver thread should terminate with main thread
@param defaultBlockSize The default block size used for block-wise transfers
or -1 to disable outgoing block-wise transfers
"""
raise NotImplementedError
# initialize layers
# self.tokenLayer = TokenLayer()
# self.transferLayer = TransferLayer(self.transferBlockSize)
# self.matchingLayer = MatchingLayer()
# self.transactionLayer = TransactionLayer()
# self.adverseLayer = AdverseLayer()
# self.udpLayer = UDPLayer(self.udpPort, self.runAsDaemon)
# # connect layers
# self.buildStack()
def setupPort(port):
raise NotImplementedError
# if port != self.udpPort and not singleton:
# if not singleton:
# udpPort = port
# logging.config("Custom port: %d", udpPort)
# else:
# logging.severe("Communicator already initialized, setup failed")
def setupTransfer(defaultBlockSize):
raise NotImplementedError
# if (defaultBlockSize!=transferBlockSize && singleton==null):
# if (singleton==null):
# transferBlockSize = defaultBlockSize
# logging.config("Custom block size: %d" % transferBlockSize)
# else:
# logging.severe("Communicator already initialized, setup failed")
def setupDeamon(daemon):
raise NotImplementedError
# if daemon != self.runAsDaemon and not singleton:
# if not singleton:
# self.runAsDaemon = daemon
# logging.config("Custom daemon option: %b" % self.runAsDaemon)
# else:
# logging.critical("Communicator already initialized, setup failed")
def buildStack(self):
"""
This method connects the layers in order to build the communication stack
It can be overridden by subclasses in order to add further layers, e.g.
for introducing a layer that drops or duplicates messages by a
probabilistic model in order to evaluate the implementation.
"""
raise NotImplementedError
# self.setLowerLayer(self.tokenLayer)
# self.tokenLayer.setLowerLayer(self.transferLayer)
# self.transferLayer.setLowerLayer(self.matchingLayer)
# self.matchingLayer.setLowerLayer(self.transactionLayer)
# self.transactionLayer.setLowerLayer(self.udpLayer)
# # transactionLayer.setLowerLayer(adverseLayer);
# # adverseLayer.setLowerLayer(udpLayer);
def doSendMessage(self, msg):
"""
defensive programming before entering the stack, lower layers should assume a correct message.
"""
raise NotImplementedError
# if msg:
# # check message before sending through the stack
# if msg.getPeerAddress().getAddress() is None:
# Exception("Remote address not specified")
# # delegate to first layer
# self.sendMessageOverLowerLayer(msg)
def doReceiveMessage(self, msg):
raise NotImplementedError
# if isinstance(msg, (Response,)):
# # initiate custom response handling
# if response.getRequest() is not None:
# response.getRequest().handleResponse(response)
# # pass message to registered receivers
# self.deliverMessage(msg)
| 38.259386 | 238 | 0.604862 | 4,253 | 44,840 | 6.351987 | 0.167411 | 0.055081 | 0.01799 | 0.008551 | 0.227392 | 0.179197 | 0.139182 | 0.121414 | 0.083065 | 0.05323 | 0 | 0.002562 | 0.295049 | 44,840 | 1,171 | 239 | 38.292058 | 0.852072 | 0.803747 | 0 | 0.536585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00427 | 0 | 1 | 0.402439 | false | 0.012195 | 0.030488 | 0 | 0.54878 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
e951b065304a1d1aaefd84a7567d6fc5594c4297 | 5,243 | py | Python | flask_identity/mixins.py | SolardiaX/flask-identity | 1af5c6b8422abd434f3b534d72c22adb0d435679 | [
"MIT"
] | null | null | null | flask_identity/mixins.py | SolardiaX/flask-identity | 1af5c6b8422abd434f3b534d72c22adb0d435679 | [
"MIT"
] | null | null | null | flask_identity/mixins.py | SolardiaX/flask-identity | 1af5c6b8422abd434f3b534d72c22adb0d435679 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
identity.mixins
~~~~~~~~~~~~~~~~~~~
Mixins of Flask-Identity
:author: solardiax <solardiax@hotmail.com>
:copyright: (c) 2020 by DreamEx Works.
:license: GPL-3.0, see LICENSE for more details.
"""
# noinspection PyUnresolvedReferences
class RoleMixin(object):
"""Mixin for `Role` model definitions"""
__hash__ = object.__hash__
def __eq__(self, other):
return super(object).__eq__(other)
def __ne__(self, other):
return not self.__eq__(other)
# noinspection PyUnresolvedReferences
class UserMixin(object):
"""
This class adds required methods to the User data-model.
Example:
class User(db.Model, UserMixin):
...
"""
__hash__ = object.__hash__
@property
def is_actived(self):
return True if not hasattr(self, 'active') else self.active
@property
def is_authenticated(self):
return True
@property
def is_anonymous(self):
return False
def get_id(self):
try:
return str(self.id)
except AttributeError:
raise NotImplementedError('No `id` attribute - override `get_id`')
def has_roles(self, *requirements):
"""
Return True if the user has all of the specified roles. Return False otherwise.
has_roles() accepts a list of requirements:
has_roles(requirement1, requirement2, requirement3).
Each requirement is either a role_name, or a tuple_of_role_names.
role_name example: 'manager'
tuple_of_role_names: ('funny', 'witty', 'hilarious')
A role_name-requirement is accepted when the user has this role.
A tuple_of_role_names-requirement is accepted when the user has ONE of these roles.
has_roles() returns true if ALL of the requirements have been accepted.
For example:
has_roles('a', ('b', 'c'), d)
Translates to:
User has role 'a' AND (role 'b' OR role 'c') AND role 'd'
"""
roles = getattr(self, 'roles') if hasattr(self, 'roles') else ()
role_names = [(r.name if isinstance(r, RoleMixin) else r) for r in roles]
for requirement in requirements:
if isinstance(requirement, (list, tuple)):
tuple_of_role_names = requirement
authorized = False
for role_name in tuple_of_role_names:
if role_name in role_names:
# tuple_of_role_names requirement was met: break out of loop
authorized = True
break
if not authorized:
return False
else:
# this is a role_name requirement
role_name = requirement
# the user must have this role
if role_name not in role_names:
return False # role_name requirement failed: return False
# All requirements have been met: return True
return True
def get_auth_token(self):
"""
Constructs the user's authentication token.
This data **MUST** be securely signed using the identity token_context
"""
from .utils import current_identity
field = current_identity.config_value('IDENTITY_FIELD')
uniquifier = getattr(self, 'uniquifier') if hasattr(self, 'uniquifier') else None
# noinspection PyProtectedMember
return current_identity._token_context.generate_token({
field: getattr(self, field),
'uniquifier': uniquifier
})
def get_security_payload(self):
"""Serialize user object as response payload."""
from .utils import current_identity
field = current_identity.config_value('IDENTITY_FIELD')
uniquifier = getattr(self, 'uniquifier') if hasattr(self, 'uniquifier') else None
return {"id": str(self.id), field: getattr(self, field), 'uniquifier': uniquifier}
def verify_password(self, passwd):
"""Verify password"""
from .utils import current_identity
# noinspection PyProtectedMember
return current_identity._hash_context.verify_context(passwd, self.password)
def __eq__(self, other):
"""
Checks the equality of two `UserMixin` objects using `get_id`.
"""
if isinstance(other, UserMixin):
return self.get_id() == other.get_id()
return NotImplemented
def __ne__(self, other):
"""
Checks the inequality of two `UserMixin` objects using `get_id`.
"""
equal = self.__eq__(other)
if equal is NotImplemented:
return NotImplemented
return not equal
class AnonymousUserMixin(object):
"""
This is the default object for representing an anonymous user.
"""
@property
def is_authenticated(self):
return False
@property
def is_actived(self):
return False
@property
def is_anonymous(self):
return True
def get_id(self):
return
# noinspection PyUnusedLocal,PyMethodMayBeStatic
def has_roles(self, *role):
return False
| 29.621469 | 91 | 0.611673 | 592 | 5,243 | 5.221284 | 0.277027 | 0.023293 | 0.025235 | 0.031058 | 0.296344 | 0.225817 | 0.159172 | 0.087997 | 0.087997 | 0.087997 | 0 | 0.002737 | 0.303071 | 5,243 | 176 | 92 | 29.789773 | 0.843186 | 0.345031 | 0 | 0.481013 | 0 | 0 | 0.045556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.21519 | false | 0.025316 | 0.037975 | 0.126582 | 0.582278 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
e95c3417ff52f5d1b48338785a71f6559401b18d | 856 | py | Python | hio/server/fo/fo.py | serafim-costa/LDP_Protocols | da4ceb81577d190f88fd57fd2a3224ff0462b30b | [
"MIT"
] | 78 | 2018-12-31T09:06:05.000Z | 2022-03-28T09:02:11.000Z | hio/server/fo/fo.py | serafim-costa/LDP_Protocols | da4ceb81577d190f88fd57fd2a3224ff0462b30b | [
"MIT"
] | 1 | 2018-02-19T17:34:00.000Z | 2018-02-19T19:19:21.000Z | hio/server/fo/fo.py | serafim-costa/LDP_Protocols | da4ceb81577d190f88fd57fd2a3224ff0462b30b | [
"MIT"
] | 27 | 2018-12-03T15:09:22.000Z | 2022-03-22T09:55:44.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created by tianhao.wang at 9/18/18
"""
import abc
import math
import numpy as np
from scipy.stats import norm
class FO(object):
__metaclass__ = abc.ABCMeta
def __init__(self, args):
self.args = args
self.ee = 0.0
self.estimates = []
self.total_count = 0
self.p = 0
self.q = 0
self.g = 0
self.var = 0.0
self.d = 0
self.c = 0
@abc.abstractmethod
def init_e(self, eps, domain):
return
def estimate(self, perturbed_datas):
return
@abc.abstractmethod
def perturb(self, datas, domain):
return
@abc.abstractmethod
def support_sr(self, report, value):
return
@abc.abstractmethod
def aggregate(self, domain, perturbed_datas):
return
| 18.212766 | 49 | 0.575935 | 111 | 856 | 4.324324 | 0.522523 | 0.072917 | 0.166667 | 0.1625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027491 | 0.320093 | 856 | 46 | 50 | 18.608696 | 0.797251 | 0.089953 | 0 | 0.290323 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.193548 | false | 0 | 0.129032 | 0.16129 | 0.548387 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 1 | 0 | 0 | 3 |
e9c9ff18cb418e9b07b8975619e6c01f149273f7 | 17,047 | py | Python | Arlo.py | LenShustek/ArloCamera | c10b481f3ed6cf660846ccac5735ab2f0cd42e90 | [
"MIT"
] | 11 | 2016-05-15T17:01:31.000Z | 2021-08-31T07:51:46.000Z | Arlo.py | LenShustek/ArloCamera | c10b481f3ed6cf660846ccac5735ab2f0cd42e90 | [
"MIT"
] | 1 | 2016-09-04T06:01:51.000Z | 2016-09-21T00:17:58.000Z | Arlo.py | LenShustek/ArloCamera | c10b481f3ed6cf660846ccac5735ab2f0cd42e90 | [
"MIT"
] | 3 | 2016-01-19T22:46:13.000Z | 2020-03-28T01:52:19.000Z | ##
# Copyright 2016 Jeffrey D. Walter
#
# 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.
##
# 14 Sep 2016, Len Shustek: Added Logout()
import json
import requests
class Arlo(object):
def __init__(self, username, password):
self.headers = {}
self.Login(username, password)
def get(self, url, caller, headers={}):
headers.update(self.headers)
r = requests.get(url, headers=headers)
r.raise_for_status()
body = r.json()
if body['success'] == True:
if 'data' in body:
return body['data']
else:
raise Exception(caller+' failed', body)
def post(self, url, body, caller, headers={}):
headers.update(self.headers)
r = requests.post(url, json=body, headers=headers)
r.raise_for_status()
body = r.json()
if body['success'] == True:
if 'data' in body:
return body['data']
else:
raise Exception(caller+' failed', body)
def put(self, url, body, caller, headers={}):
headers.update(self.headers)
r = requests.put(url, json=body, headers=headers)
r.raise_for_status()
body = r.json()
if body['success'] == True:
if 'data' in body:
return body['data']
else:
raise Exception(caller+' failed', body)
##
# This call returns the following:
#{
# "userId":"XXX-XXXXXXX",
# "email":"user@example.com",
# "token":"2_5HicFJMXXXXX-S_7IuK2EqOUHXXXXXXXXXXX1CXKWTThgU18Va_XXXXXX5S00hUafv3PV_if_Bl_rhiFsDHYwhxI3CxlVnR5f3q2XXXXXX-Wnt9F7D82uN1f4cXXXXX-FMUsWF_6tMBqwn6DpzOaIB7ciJrnr2QJyKewbQouGM6",
# "paymentId":"XXXXXXXX",
# "authenticated":1472961381,
# "accountStatus":"registered",
# "serialNumber":"XXXXXXXXXXXXX",
# "countryCode":"US",
# "tocUpdate":false,
# "policyUpdate":false,
# "validEmail":true
#}
##
def Login(self, username, password):
self.username = username
self.password = password
body = self.post('https://arlo.netgear.com/hmsweb/login', {'email': self.username, 'password': self.password}, 'Login')
self.headers = {
'Authorization': body['token']
}
self.user_id = body['userId']
return body
def Logout(self):
return self.put('https://arlo.netgear.com/hmsweb/logout', {}, 'Logout')
##
# The following are examples of the json you would need to pass in the body of the Notify() call to interact with Arlo:
#
# Set System Mode (Armed, Disarmed) - {"from":"XXX-XXXXXXX_web","to":"XXXXXXXXXXXXX","action":"set","resource":"modes","transId":"web!XXXXXXXX.XXXXXXXXXXXXXXXXXXXX","publishResponse":true,"properties":{"active":"mode0"}}
# Set System Mode (Calendar) - {"from":"XXX-XXXXXXX_web","to":"XXXXXXXXXXXXX","action":"set","resource":"schedule","transId":"web!XXXXXXXX.XXXXXXXXXXXXXXXXXXXX","publishResponse":true,"properties":{"active":true}}
# Configure The Schedule (Calendar) - {"from":"XXX-XXXXXXX_web","to":"XXXXXXXXXXXXX","action":"set","resource":"schedule","transId":"web!XXXXXXXX.XXXXXXXXXXXXXXXXXXXX","publishResponse":true,"properties":{"schedule":[{"modeId":"mode0","startTime":0},{"modeId":"mode2","startTime":28800000},{"modeId":"mode0","startTime":64800000},{"modeId":"mode0","startTime":86400000},{"modeId":"mode2","startTime":115200000},{"modeId":"mode0","startTime":151200000},{"modeId":"mode0","startTime":172800000},{"modeId":"mode2","startTime":201600000},{"modeId":"mode0","startTime":237600000},{"modeId":"mode0","startTime":259200000},{"modeId":"mode2","startTime":288000000},{"modeId":"mode0","startTime":324000000},{"modeId":"mode0","startTime":345600000},{"modeId":"mode2","startTime":374400000},{"modeId":"mode0","startTime":410400000},{"modeId":"mode0","startTime":432000000},{"modeId":"mode0","startTime":518400000}]}
# Create Mode -
# {"from":"XXX-XXXXXXX_web","to":"XXXXXXXXXXXXX","action":"add","resource":"rules","transId":"web!XXXXXXXX.XXXXXXXXXXXXXXXXXXXX","publishResponse":true,"properties":{"name":"Record video on Camera 1 if Camera 1 detects motion","id":"ruleNew","triggers":[{"type":"pirMotionActive","deviceId":"XXXXXXXXXXXXX","sensitivity":80}],"actions":[{"deviceId":"XXXXXXXXXXXXX","type":"recordVideo","stopCondition":{"type":"timeout","timeout":15}},{"type":"sendEmailAlert","recipients":["__OWNER_EMAIL__"]},{"type":"pushNotification"}]}}
# {"from":"XXX-XXXXXXX_web","to":"XXXXXXXXXXXXX","action":"add","resource":"modes","transId":"web!XXXXXXXX.XXXXXXXXXXXXXXXXXXXX","publishResponse":true,"properties":{"name":"Test","rules":["rule3"]}}
# Delete Mode - {"from":"XXX-XXXXXXX_web","to":"XXXXXXXXXXXXX","action":"delete","resource":"modes/mode3","transId":"web!XXXXXXXX.XXXXXXXXXXXXXXXXXXXX","publishResponse":true}
# Camera Off - {"from":"XXX-XXXXXXX_web","to":"XXXXXXXXXXXXX","action":"set","resource":"cameras/XXXXXXXXXXXXX","transId":"web!XXXXXXXX.XXXXXXXXXXXXXXXXXXXX","publishResponse":true,"properties":{"privacyActive":false}}
# Night Vision On - {"from":"XXX-XXXXXXX_web","to":"XXXXXXXXXXXXX","action":"set","resource":"cameras/XXXXXXXXXXXXX","transId":"web!XXXXXXXX.XXXXXXXXXXXXXXXXXXXX","publishResponse":true,"properties":{"zoom":{"topleftx":0,"toplefty":0,"bottomrightx":1280,"bottomrighty":720},"mirror":true,"flip":true,"nightVisionMode":1,"powerSaveMode":2}}
# Motion Detection Test - {"from":"XXX-XXXXXXX_web","to":"XXXXXXXXXXXXX","action":"set","resource":"cameras/XXXXXXXXXXXXX","transId":"web!XXXXXXXX.XXXXXXXXXXXXXXXXXXXX","publishResponse":true,"properties":{"motionSetupModeEnabled":true,"motionSetupModeSensitivity":80}}
#
# device_id = locations.data.uniqueIds
#
# System Properties: ("resource":"modes")
# active (string) - Mode Selection (mode2 = All Motion On, mode1 = Armed, mode0 = Disarmed, etc.)
#
# System Properties: ("resource":"schedule")
# active (bool) - Mode Selection (true = Calendar)
#
# Camera Properties: ("resource":"cameras/{id}")
# privacyActive (bool) - Camera On/Off
# zoom (topleftx (int), toplefty (int), bottomrightx (int), bottomrighty (int)) - Camera Zoom Level
# mirror (bool) - Mirror Image (left-to-right or right-to-left)
# flip (bool) - Flip Image Vertically
# nightVisionMode (int) - Night Mode Enabled/Disabled (1, 0)
# powerSaveMode (int) - PowerSaver Mode (3 = Best Video, 2 = Optimized, 1 = Best Battery Life)
# motionSetupModeEnabled (bool) - Motion Detection Setup Enabled/Disabled
# motionSetupModeSensitivity (int 0-100) - Motion Detection Sensitivity
##
def Notify(self, device_id, xcloud_id, body):
return self.post('https://arlo.netgear.com/hmsweb/users/devices/notify/'+device_id, body, 'Notify', headers={"xCloudId":xcloud_id})
def Arm(self, device_id, xcloud_id):
return self.Notify(device_id, xcloud_id, {"from":self.user_id+"_web","to":device_id,"action":"set","resource":"modes","publishResponse":"true","properties":{"active":"mode1"}})
def Disarm(self, device_id, xcloud_id):
return self.Notify(device_id, xcloud_id, {"from":self.user_id+"_web","to":device_id,"action":"set","resource":"modes","publishResponse":"true","properties":{"active":"mode0"}})
def Calendar(self, device_id, xcloud_id):
return self.Notify(device_id, xcloud_id, {"from":self.user_id+"_web","to":device_id,"action":"set","resource":"schedule","publishResponse":"true","properties":{"active":"true"}})
def CustomMode(self, device_id, xcloud_id, mode):
return self.Notify(device_id, xcloud_id, {"from":self.user_id+"_web","to":device_id,"action":"set","resource":"modes","publishResponse":"true","properties":{"active":mode}})
def DeleteMode(self, device_id, xcloud_id, mode):
return self.Notify(device_id, xcloud_id, {"from":self.user_id+"_web","to":device_id,"action":"delete","resource":"modes/"+mode,"publishResponse":"true"})
def ToggleCamera(self, device_id, xcloud_id, active=True):
return self.Notify(device_id, xcloud_id, {"from":self.user_id+"_web","to":device_id,"action":"set","resource":"cameras/"+device_id,"publishResponse":"true","properties":{"privacyActive":active}})
def Reset(self):
return self.get('https://arlo.netgear.com/hmsweb/users/library/reset', 'Reset')
def GetServiceLevel(self):
return self.get('https://arlo.netgear.com/hmsweb/users/serviceLevel', 'GetServiceLevel')
def GetPaymentOffers(self):
return self.get('https://arlo.netgear.com/hmsweb/users/payment/offers', 'GetPaymentOffers')
def GetProfile(self):
return self.get('https://arlo.netgear.com/hmsweb/users/profile', 'GetProfile')
def GetFriends(self):
return self.get('https://arlo.netgear.com/hmsweb/users/friends', 'GetFriends')
##
# This call returns the following:
#{
# "id":"XXX-XXXXXXX_20160823042047",
# "name":"Home",
# "ownerId":"XXX-XXXXXXX",
# "longitude":X.XXXXXXXXXXXXXXXX,
# "latitude":X.XXXXXXXXXXXXXXXX,
# "address":"123 Middle Of Nowhere Bumbfuck, EG, 12345",
# "homeMode":"schedule",
# "awayMode":"mode1",
# "geoEnabled":false,
# "geoRadius":150.0,
# "uniqueIds":[
# "XXX-XXXXXXX_XXXXXXXXXXXXX"
# ],
# "smartDevices":[
# "XXXXXXXXXX",
# "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"
# ],
# "pushNotifyDevices":[
# "XXXXXXXXXX"
# ]
#}
##
def GetLocations(self):
return self.get('https://arlo.netgear.com/hmsweb/users/locations', 'GetLocations')
##
# This method returns an array that contains the basestation, cameras, etc. and their metadata.
#
##
def GetDevices(self, device_type=None):
return self.get('https://arlo.netgear.com/hmsweb/users/devices', 'GetDevices')
def GetLibraryMetaData(self, from_date, to_date):
return self.post('https://arlo.netgear.com/hmsweb/users/library/metadata', {'dateFrom':from_date, 'dateTo':to_date}, 'GetRecordingMetaData')
def UpdateProfile(self, first_name, last_name):
return self.put('https://arlo.netgear.com/hmsweb/users/profile', {'firstName': first_name, 'lastName': last_name}, 'UpdateProfile')
def UpdatePassword(self, password):
r = self.post('https://arlo.netgear.com/hmsweb/users/changePassword', {'currentPassword':self.password,'newPassword':password}, 'ChangePassword')
self.password = password
return r
##
# This is an example of the json you would pass in the body to UpdateFriends():
#{
# "firstName":"Some",
# "lastName":"Body",
# "devices":{
# "XXXXXXXXXXXXX":"Camera 1",
# "XXXXXXXXXXXXX":"Camera 2 ",
# "XXXXXXXXXXXXX":"Camera 3"
# },
# "lastModified":1463977440911,
# "adminUser":true,
# "email":"user@example.com",
# "id":"XXX-XXXXXXX"
#}
##
def UpdateFriends(self, body):
return self.put('https://arlo.netgear.com/hmsweb/users/friends', body, 'UpdateFriends')
def UpdateDeviceName(self, parent_id, device_id, name):
return self.put('https://arlo.netgear.com/hmsweb/users/devices/renameDevice', {'deviceId':device_id, 'deviceName':name, 'parentId':parent_id}, 'UpdateDeviceName')
##
# This is an example of the json you would pass in the body to UpdateDisplayOrder() of your devices in the UI.
#
# XXXXXXXXXXXXX is the device id of each camera. You can get this from GetDevices().
#{
# "devices":{
# "XXXXXXXXXXXXX":1,
# "XXXXXXXXXXXXX":2,
# "XXXXXXXXXXXXX":3
# }
#}
##
def UpdateDisplayOrder(self, body):
return self.post('https://arlo.netgear.com/hmsweb/users/devices/displayOrder', body, 'UpdateDisplayOrder')
##
# This call returns the following:
# presignedContentUrl is a link to the actual video in Amazon AWS.
# presignedThumbnailUrl is a link to the thumbnail .jpg of the actual video in Amazon AWS.
#
#[
# {
# "mediaDurationSecond": 30,
# "contentType": "video/mp4",
# "name": "XXXXXXXXXXXXX",
# "presignedContentUrl": "https://arlos3-prod-z2.s3.amazonaws.com/XXXXXXX_XXXX_XXXX_XXXX_XXXXXXXXXXXXX/XXX-XXXXXXX/XXXXXXXXXXXXX/recordings/XXXXXXXXXXXXX.mp4?AWSAccessKeyId=XXXXXXXXXXXXXXXXXXXX&Expires=1472968703&Signature=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
# "lastModified": 1472881430181,
# "localCreatedDate": XXXXXXXXXXXXX,
# "presignedThumbnailUrl": "https://arlos3-prod-z2.s3.amazonaws.com/XXXXXXX_XXXX_XXXX_XXXX_XXXXXXXXXXXXX/XXX-XXXXXXX/XXXXXXXXXXXXX/recordings/XXXXXXXXXXXXX_thumb.jpg?AWSAccessKeyId=XXXXXXXXXXXXXXXXXXXX&Expires=1472968703&Signature=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
# "reason": "motionRecord",
# "deviceId": "XXXXXXXXXXXXX",
# "createdBy": "XXXXXXXXXXXXX",
# "createdDate": "20160903",
# "timeZone": "America/Chicago",
# "ownerId": "XXX-XXXXXXX",
# "utcCreatedDate": XXXXXXXXXXXXX,
# "currentState": "new",
# "mediaDuration": "00:00:30"
# }
#]
##
def GetLibrary(self, from_date, to_date):
return self.post('https://arlo.netgear.com/hmsweb/users/library', {'dateFrom':from_date, 'dateTo':to_date}, 'GetRecordings')
##
# Delete a single video recording from Arlo.
#
# All of the date info and device id you need to pass into this method are given in the results of the GetLibrary() call.
#
##
def DeleteRecording(self, created_date, utc_created_date, device_id):
return self.post('https://arlo.netgear.com/hmsweb/users/library/recycle', {'data':[{'createdDate':created_date,'utcCreatedDate':utc_created_date,'deviceId':device_id}]}, 'DeleteRecording')
##
# Delete a batch of video recordings from Arlo.
#
# The GetLibrary() call response json can be passed directly to this method if you'd like to delete the same list of videos you queried for.
# If you want to delete some other batch of videos, then you need to send an array of objects representing each video you want to delete.
#
#[
# {
# "createdDate":"20160904",
# "utcCreatedDate":1473010280395,
# "deviceId":"XXXXXXXXXXXXX"
# },
# {
# "createdDate":"20160904",
# "utcCreatedDate":1473010280395,
# "deviceId":"XXXXXXXXXXXXX"
# }
#]
##
def BatchDeleteRecordings(self, recording_metadata):
return self.post('https://arlo.netgear.com/hmsweb/users/library/recycle', {'data':recording_metadata}, 'BatchDeleteRecordings')
##
# Returns the whole video from the presignedContentUrl.
#
# Obviously, this function is generic and could be used to download anything. :)
##
def GetRecording(self, url, chunk_size=4096):
video = ''
r = requests.get(url, stream=True)
r.raise_for_status()
for chunk in r.iter_content(chunk_size):
if chunk: video += chunk
return video
##
# Returns a generator that is the chunked video stream from the presignedContentUrl.
#
# Obviously, this function is generic and could be used to download anything. :)
##
def StreamRecording(self, url, chunk_size=4096):
r = requests.get(url, stream=True)
r.raise_for_status()
for chunk in r.iter_content(chunk_size):
yield chunk
##
# This function returns a generator that is a chunked live video stream.
#
# To initiate a stream pass the following:
#{
# "to":"XXXXXXXXXXXXX",
# "from":"XXX-XXXXXXX_web",
# "resource":"cameras/XXXXXXXXXXXXX",
# "action":"set",
# "publishResponse":true,
# "transId":"web!XXXXXXXX.XXXXXXXXXXXXXXXXXXXX",
# "properties":{
# "activityState":"startPositionStream"
# }
#}
# The request to /users/devices/startStream returns:
#{
# "data":{
# "url":"rtmps://vzwow09-z2-prod.vz.netgear.com:80/vzmodulelive?egressToken=b1b4b675_ac03_4182_9844_043e02a44f71&userAgent=web&cameraId=48B4597VD8FF5_1473010750131"
# },
# "success":true
#}
# which is the url of the video stream, which this function then uses to call StreamRecording().
##
def StartStream(self, body):
body = self.post('https://arlo.netgear.com/hmsweb/users/devices/startStream', body, 'StartStream')
for chunk in self.StreamRecording(body['url']):
yield chunk
| 48.291785 | 908 | 0.659412 | 1,890 | 17,047 | 5.87672 | 0.240212 | 0.020167 | 0.028811 | 0.034213 | 0.429639 | 0.402809 | 0.358603 | 0.354191 | 0.327541 | 0.289547 | 0 | 0.032018 | 0.17921 | 17,047 | 352 | 909 | 48.428977 | 0.761792 | 0.538687 | 0 | 0.306306 | 0 | 0 | 0.249115 | 0.002752 | 0 | 0 | 0 | 0 | 0 | 1 | 0.288288 | false | 0.072072 | 0.018018 | 0.207207 | 0.576577 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 |
e9d5ef34f4f1e3542bf02b5a42e224fd812cc2d5 | 354 | py | Python | catalyst/dl/utils/__init__.py | andrey-avdeev/catalyst | fd17aaba7775c99b7e2b1ce86e60aa8f2379acc3 | [
"Apache-2.0"
] | null | null | null | catalyst/dl/utils/__init__.py | andrey-avdeev/catalyst | fd17aaba7775c99b7e2b1ce86e60aa8f2379acc3 | [
"Apache-2.0"
] | null | null | null | catalyst/dl/utils/__init__.py | andrey-avdeev/catalyst | fd17aaba7775c99b7e2b1ce86e60aa8f2379acc3 | [
"Apache-2.0"
] | null | null | null | # flake8: noqa
from catalyst.utils import *
# from .trace import *
from .callbacks import process_callbacks
from .criterion import (
accuracy, average_accuracy, dice, f1_score, iou, jaccard,
mean_average_accuracy, reduced_focal_loss, sigmoid_focal_loss
)
from .torch import get_loader, process_components
from .visualization import plot_metrics
| 29.5 | 65 | 0.80226 | 46 | 354 | 5.913043 | 0.630435 | 0.073529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006536 | 0.135593 | 354 | 11 | 66 | 32.181818 | 0.882353 | 0.09322 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.625 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
759b7ced84530f54c2df12b863106d9d265111fe | 412 | py | Python | bomber_monkey/features/player/player.py | MonkeyPatchIo/bomber-monkey | 8a351ef1a0ef18e9d98ad72d7274c41f02c0ed1b | [
"MIT"
] | null | null | null | bomber_monkey/features/player/player.py | MonkeyPatchIo/bomber-monkey | 8a351ef1a0ef18e9d98ad72d7274c41f02c0ed1b | [
"MIT"
] | null | null | null | bomber_monkey/features/player/player.py | MonkeyPatchIo/bomber-monkey | 8a351ef1a0ef18e9d98ad72d7274c41f02c0ed1b | [
"MIT"
] | null | null | null | from bomber_monkey.features.player.player_slot import PlayerSlot
from python_ecs.ecs import Component
class Player(Component):
def __init__(self, slot: PlayerSlot, power: int) -> None:
super().__init__()
self.power = power
self.slot = slot
@property
def player_id(self):
return self.slot.player_id
@property
def color(self):
return self.slot.color
| 22.888889 | 64 | 0.669903 | 52 | 412 | 5.057692 | 0.442308 | 0.121673 | 0.106464 | 0.136882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.240291 | 412 | 17 | 65 | 24.235294 | 0.840256 | 0 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.153846 | 0.153846 | 0.615385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
75d7592a83afb095a37efba0a976f07a9d4a320c | 407 | py | Python | changetext/common_state.py | dfint/changetextpy_script | 0481ab9225e070bfb17cfa0d194e1ed6c6c15e4d | [
"MIT"
] | null | null | null | changetext/common_state.py | dfint/changetextpy_script | 0481ab9225e070bfb17cfa0d194e1ed6c6c15e4d | [
"MIT"
] | 1 | 2021-11-03T06:53:22.000Z | 2021-11-03T06:53:22.000Z | changetext/common_state.py | dfint/changetextpy_script | 0481ab9225e070bfb17cfa0d194e1ed6c6c15e4d | [
"MIT"
] | null | null | null | class ChangeTextState:
def __init__(self):
self.prev_tail = ''
self.context = None
_change_text_state = None
def init():
global _change_text_state
_change_text_state = ChangeTextState()
init()
def get_state() -> ChangeTextState:
global _change_text_state
if _change_text_state is None:
_change_text_state = ChangeTextState()
return _change_text_state
| 17.695652 | 46 | 0.70516 | 48 | 407 | 5.416667 | 0.354167 | 0.269231 | 0.403846 | 0.146154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.226044 | 407 | 22 | 47 | 18.5 | 0.825397 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
75f5b186a011063efa4c17887c5384c8551e5511 | 413 | py | Python | util/tree.py | aliaksandr-klimovich/sandbox | adab6b18f3d78a891c38609abc71b5d7a751919c | [
"Unlicense"
] | 1 | 2020-12-25T18:21:18.000Z | 2020-12-25T18:21:18.000Z | util/tree.py | aliaksandr-klimovich/sandbox | adab6b18f3d78a891c38609abc71b5d7a751919c | [
"Unlicense"
] | 1 | 2021-02-11T15:05:59.000Z | 2021-02-11T15:05:59.000Z | util/tree.py | aliaksandr-klimovich/sandbox | adab6b18f3d78a891c38609abc71b5d7a751919c | [
"Unlicense"
] | null | null | null | from collections import defaultdict
class PrettyDefaultDict(defaultdict):
def __str__(self):
return dict.__str__(self)
def __repr__(self):
return dict.__repr__(self)
def tree():
"""
>>> t = tree()
>>> t['a']['b']['c'] = 1
>>> t
{'a': {'b': {'c': 1}}}
"""
return PrettyDefaultDict(tree)
if __name__ == '__main__':
import doctest
doctest.testmod()
| 16.52 | 37 | 0.559322 | 45 | 413 | 4.6 | 0.511111 | 0.067633 | 0.135266 | 0.038647 | 0.048309 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006557 | 0.261501 | 413 | 24 | 38 | 17.208333 | 0.672131 | 0.164649 | 0 | 0 | 0 | 0 | 0.025237 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | false | 0 | 0.181818 | 0.181818 | 0.818182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
f93c35d57bdbb73dc7d2f76e61f5dbd04a57b802 | 96 | py | Python | tests/test_exception.py | raffaelfoidl/noworkflow | aa4ca189df24fec6c7abd32bcca6a097b21fdf31 | [
"MIT"
] | 108 | 2015-02-04T14:16:51.000Z | 2022-03-06T13:52:45.000Z | tests/test_exception.py | raffaelfoidl/noworkflow | aa4ca189df24fec6c7abd32bcca6a097b21fdf31 | [
"MIT"
] | 92 | 2015-01-19T14:58:06.000Z | 2021-04-19T17:28:50.000Z | tests/test_exception.py | raffaelfoidl/noworkflow | aa4ca189df24fec6c7abd32bcca6a097b21fdf31 | [
"MIT"
] | 31 | 2015-03-03T23:53:59.000Z | 2021-11-11T04:23:44.000Z | def y():
raise TypeError
def x():
y()
try:
x()
except TypeError:
print("x")
| 7.384615 | 19 | 0.5 | 13 | 96 | 3.692308 | 0.615385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 96 | 12 | 20 | 8 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.010417 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0 | 0 | 0.25 | 0.125 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f94214986bce56369b90ec0db6184c796c528aae | 300 | py | Python | data/juno_nominal/coordinates_reactors_equal.py | gnafit/gna | c1a58dac11783342c97a2da1b19c97b85bce0394 | [
"MIT"
] | 5 | 2019-10-14T01:06:57.000Z | 2021-02-02T16:33:06.000Z | data/juno_nominal/coordinates_reactors_equal.py | gnafit/gna | c1a58dac11783342c97a2da1b19c97b85bce0394 | [
"MIT"
] | null | null | null | data/juno_nominal/coordinates_reactors_equal.py | gnafit/gna | c1a58dac11783342c97a2da1b19c97b85bce0394 | [
"MIT"
] | null | null | null | # nominal reactor positions
data = dict([
('YJ1', [52.5]),
('YJ2', [52.5]),
('YJ3', [52.5]),
('YJ4', [52.5]),
('YJ5', [52.5]),
('YJ6', [52.5]),
('TS1', [52.5]),
('TS2', [52.5]),
('TS3', [52.5]),
('TS4', [52.5]),
('DYB', [215.0]),
('HZ', [265.0]),
])
| 17.647059 | 27 | 0.346667 | 41 | 300 | 2.536585 | 0.536585 | 0.288462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.220183 | 0.273333 | 300 | 16 | 28 | 18.75 | 0.256881 | 0.083333 | 0 | 0 | 0 | 0 | 0.128205 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 3 |
f955be5cd5c1b23ffcdfcc8c4ea4a60916313772 | 701 | py | Python | taxman/calculator/summary.py | robinmitra/taxman | a7afc0b4a1449cd46e90cd3af05f4a5d65a8acbf | [
"MIT"
] | 3 | 2019-01-07T13:08:59.000Z | 2021-01-11T10:34:52.000Z | taxman/calculator/summary.py | robinmitra/taxman | a7afc0b4a1449cd46e90cd3af05f4a5d65a8acbf | [
"MIT"
] | null | null | null | taxman/calculator/summary.py | robinmitra/taxman | a7afc0b4a1449cd46e90cd3af05f4a5d65a8acbf | [
"MIT"
] | null | null | null | class Summary:
def __init__(self, total_income, net_income, income_tax, employees_ni,
employers_ni):
self._total_income = total_income
self._net_income = net_income
self._income_tax = income_tax
self._employees_ni = employees_ni
self._employers_ni = employers_ni
@property
def total_income(self):
return self._total_income
@property
def net_income(self):
return self._net_income
@property
def income_tax(self):
return self._income_tax
@property
def employees_ni(self):
return self._employees_ni
@property
def employers_ni(self):
return self._employers_ni
| 24.172414 | 74 | 0.659058 | 85 | 701 | 4.976471 | 0.164706 | 0.130024 | 0.165485 | 0.094563 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.278174 | 701 | 28 | 75 | 25.035714 | 0.835968 | 0 | 0 | 0.217391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.26087 | false | 0 | 0 | 0.217391 | 0.521739 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
f95addc59232628a2deac81ce824f616a4317ca3 | 227 | py | Python | tools/polly/bin/detail/ios_dev_root.py | Kondr11/LABA7 | 7c5628192f8bac7ea68df725bc0529f8f94302bc | [
"MIT"
] | 861 | 2015-02-03T10:20:11.000Z | 2022-03-13T20:19:12.000Z | tools/polly/bin/detail/ios_dev_root.py | Kondr11/LABA7 | 7c5628192f8bac7ea68df725bc0529f8f94302bc | [
"MIT"
] | 197 | 2015-04-15T20:13:30.000Z | 2021-03-22T14:18:33.000Z | tools/polly/bin/detail/ios_dev_root.py | Kondr11/LABA7 | 7c5628192f8bac7ea68df725bc0529f8f94302bc | [
"MIT"
] | 236 | 2015-03-05T19:52:07.000Z | 2021-12-24T06:02:07.000Z | # Copyright (c) 2014, Ruslan Baratov
# All rights reserved.
import os
import re
def get(ios_version):
dev_dir = re.sub(r'\.', '_', ios_version)
dev_dir = 'IOS_{}_DEVELOPER_DIR'.format(dev_dir)
return os.getenv(dev_dir)
| 20.636364 | 50 | 0.709251 | 36 | 227 | 4.194444 | 0.638889 | 0.15894 | 0.172185 | 0.211921 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020725 | 0.14978 | 227 | 10 | 51 | 22.7 | 0.761658 | 0.242291 | 0 | 0 | 0 | 0 | 0.136095 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
f9634b3fc173dcbff32d340a448316b1f290665f | 164 | py | Python | instructors/course-2015/functions_gens_and_ducks/examples/gen_lines_of_file.py | mgadagin/PythonClass | 70b370362d75720b3fb0e1d6cc8158f9445e9708 | [
"MIT"
] | 46 | 2017-09-27T20:19:36.000Z | 2020-12-08T10:07:19.000Z | instructors/course-2015/functions_gens_and_ducks/examples/gen_lines_of_file.py | mgadagin/PythonClass | 70b370362d75720b3fb0e1d6cc8158f9445e9708 | [
"MIT"
] | 6 | 2018-01-09T08:07:37.000Z | 2020-09-07T12:25:13.000Z | instructors/course-2015/functions_gens_and_ducks/examples/gen_lines_of_file.py | mgadagin/PythonClass | 70b370362d75720b3fb0e1d6cc8158f9445e9708 | [
"MIT"
] | 18 | 2017-10-10T02:06:51.000Z | 2019-12-01T10:18:13.000Z | """utility functions to read in and parse a file efficiently
"""
def gen_file_line(text):
with open(text) as fp:
for line in fp:
yield line | 23.428571 | 60 | 0.634146 | 26 | 164 | 3.923077 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.286585 | 164 | 7 | 61 | 23.428571 | 0.871795 | 0.347561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.25 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f998d55860cb60330d4722550f0cd3c396cba071 | 527 | py | Python | editor_api/helpers/executable_api.py | jphuart/swatplus-automatic-workflow | dd2eeb7f882eb2d4ab7e1e5265c10b9beb93ddc4 | [
"MIT"
] | 8 | 2020-06-28T07:50:29.000Z | 2022-01-05T16:29:48.000Z | editor_api/helpers/executable_api.py | jphuart/swatplus-automatic-workflow | dd2eeb7f882eb2d4ab7e1e5265c10b9beb93ddc4 | [
"MIT"
] | null | null | null | editor_api/helpers/executable_api.py | jphuart/swatplus-automatic-workflow | dd2eeb7f882eb2d4ab7e1e5265c10b9beb93ddc4 | [
"MIT"
] | 5 | 2020-06-28T07:50:31.000Z | 2021-08-16T07:09:59.000Z | import json, sys
class Unbuffered(object):
def __init__(self, stream):
self.stream = stream
def write(self, data):
self.stream.write(data)
self.stream.flush()
def writelines(self, datas):
self.stream.writelines(datas)
self.stream.flush()
def __getattr__(self, attr):
return getattr(self.stream, attr)
class ExecutableApi:
def emit_progress(self, percent, message):
sys.stdout.write('\r\t-> percent: {0} - {1} '.format(str(percent).rjust(3), message))
sys.stdout.flush()
| 26.35 | 100 | 0.667932 | 69 | 527 | 4.971014 | 0.463768 | 0.204082 | 0.081633 | 0.104956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006993 | 0.185958 | 527 | 19 | 101 | 27.736842 | 0.792541 | 0 | 0 | 0.125 | 0 | 0 | 0.074144 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3125 | false | 0 | 0.0625 | 0.0625 | 0.5625 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 3 |
f99b650e4e26f321485e30cd9938a83f3e79873d | 404 | py | Python | tests/beta_tests/test_grasshopper_if_else_syntax_debug.py | the-zebulan/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 40 | 2016-03-09T12:26:20.000Z | 2022-03-23T08:44:51.000Z | tests/beta_tests/test_grasshopper_if_else_syntax_debug.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | null | null | null | tests/beta_tests/test_grasshopper_if_else_syntax_debug.py | akalynych/CodeWars | 1eafd1247d60955a5dfb63e4882e8ce86019f43a | [
"MIT"
] | 36 | 2016-11-07T19:59:58.000Z | 2022-03-31T11:18:27.000Z | import unittest
from katas.kyu_8.grasshopper_if_else_syntax_debug import checkAlive
class CheckAliveTestCase(unittest.TestCase):
def test_true_1(self):
self.assertTrue(checkAlive(1))
def test_true_2(self):
self.assertTrue(checkAlive(3))
def test_false_1(self):
self.assertFalse(checkAlive(-2))
def test_false_2(self):
self.assertFalse(checkAlive(0))
| 22.444444 | 67 | 0.720297 | 53 | 404 | 5.245283 | 0.490566 | 0.100719 | 0.079137 | 0.201439 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027273 | 0.183168 | 404 | 17 | 68 | 23.764706 | 0.815152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.363636 | 1 | 0.363636 | false | 0 | 0.181818 | 0 | 0.636364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 3 |
f9da27cb6e50b155cae8ccf9b2d900c966758ee9 | 284 | py | Python | coursesessions/api/urls.py | s-wirth/thesis | a093dfb39a644b95509e2f5b25fbf3b2efa72545 | [
"MIT"
] | null | null | null | coursesessions/api/urls.py | s-wirth/thesis | a093dfb39a644b95509e2f5b25fbf3b2efa72545 | [
"MIT"
] | null | null | null | coursesessions/api/urls.py | s-wirth/thesis | a093dfb39a644b95509e2f5b25fbf3b2efa72545 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from coursesessions.api.views import SessionListAPIView, SessionDetailAPIView
urlpatterns = [
url(r'^$', SessionListAPIView.as_view(), name='session-list'),
url(r'^(?P<pk>[0-9]+)/$', SessionDetailAPIView.as_view(), name='session-detail'),
]
| 31.555556 | 85 | 0.721831 | 34 | 284 | 5.970588 | 0.676471 | 0.039409 | 0.098522 | 0.167488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007843 | 0.102113 | 284 | 8 | 86 | 35.5 | 0.788235 | 0 | 0 | 0 | 0 | 0 | 0.158451 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
f9dd4554210e6bbb69453f81622bcccffb72124c | 346 | py | Python | main/controller/demo.py | nguyentranhoan/uit-mobile | 8546312b01373d94cf00c64f7eacb769e0f4ccce | [
"BSD-3-Clause"
] | null | null | null | main/controller/demo.py | nguyentranhoan/uit-mobile | 8546312b01373d94cf00c64f7eacb769e0f4ccce | [
"BSD-3-Clause"
] | null | null | null | main/controller/demo.py | nguyentranhoan/uit-mobile | 8546312b01373d94cf00c64f7eacb769e0f4ccce | [
"BSD-3-Clause"
] | null | null | null | from common.controller import get, router, post
from service.demo import DemoService
@router('/demos', tags=['demo'])
class DemoController:
def __init__(self, demo_service: DemoService) -> None:
super().__init__()
self.demo_service = demo_service
@get("/?")
def list(self):
return self.demo_service.list()
| 23.066667 | 58 | 0.67052 | 41 | 346 | 5.365854 | 0.512195 | 0.2 | 0.204545 | 0.172727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.199422 | 346 | 14 | 59 | 24.714286 | 0.794224 | 0 | 0 | 0 | 0 | 0 | 0.034682 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0.1 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 3 |
f9e49ed02fee4b9a0c608fb1f944e47bee3c6794 | 190 | py | Python | helper/math/modular_exp.py | AlbertoDuarte/criptography | 1778da9027d340c8aa96004258b2da0be5df22cd | [
"MIT"
] | null | null | null | helper/math/modular_exp.py | AlbertoDuarte/criptography | 1778da9027d340c8aa96004258b2da0be5df22cd | [
"MIT"
] | null | null | null | helper/math/modular_exp.py | AlbertoDuarte/criptography | 1778da9027d340c8aa96004258b2da0be5df22cd | [
"MIT"
] | null | null | null | def modular_exp(b, e, mod):
if e == 0:
return 1
res = modular_exp(b, e//2, mod)
res = (res * res ) % mod
if e%2 == 1:
res = (res * b) % mod
return res
| 15.833333 | 35 | 0.452632 | 32 | 190 | 2.625 | 0.375 | 0.214286 | 0.261905 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 0.394737 | 190 | 11 | 36 | 17.272727 | 0.686957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
ddb5a838b7d0b0ef5054b93e5a6e6d6f3dcd2a20 | 214 | py | Python | api/purepage/dbinit.py | guyskk/purepage | 64e2180b751e787f9fe477f9b212b31c84d34cfb | [
"MIT"
] | 13 | 2016-05-03T07:56:43.000Z | 2019-08-03T05:58:58.000Z | api/purepage/dbinit.py | guyskk/purepage | 64e2180b751e787f9fe477f9b212b31c84d34cfb | [
"MIT"
] | null | null | null | api/purepage/dbinit.py | guyskk/purepage | 64e2180b751e787f9fe477f9b212b31c84d34cfb | [
"MIT"
] | 3 | 2016-06-04T12:49:34.000Z | 2019-04-24T08:51:34.000Z | import rethinkdb as r
setups = [
r.db_create("purepage"),
r.table_create("user"),
r.table_create("article"),
r.table("user").index_create("email"),
r.table("article").index_create("author"),
]
| 21.4 | 46 | 0.640187 | 29 | 214 | 4.551724 | 0.482759 | 0.181818 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.158879 | 214 | 9 | 47 | 23.777778 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0.191589 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ddc387e07bc35d9e56baf7a3cf9d5e844877e550 | 43 | py | Python | MovieRecEngine/__init__.py | MrR0b0t-23/MovieRecSys | 09ac6edb15b58973b5affc52c7f566cf26e9df71 | [
"MIT"
] | 1 | 2021-04-03T08:41:23.000Z | 2021-04-03T08:41:23.000Z | MovieRecEngine/__init__.py | MrR0b0t-23/MovieRecSys | 09ac6edb15b58973b5affc52c7f566cf26e9df71 | [
"MIT"
] | null | null | null | MovieRecEngine/__init__.py | MrR0b0t-23/MovieRecSys | 09ac6edb15b58973b5affc52c7f566cf26e9df71 | [
"MIT"
] | 1 | 2021-06-23T04:14:12.000Z | 2021-06-23T04:14:12.000Z | #version of module
__version__ = "0.0.3" | 14.333333 | 21 | 0.674419 | 7 | 43 | 3.571429 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085714 | 0.186047 | 43 | 3 | 21 | 14.333333 | 0.628571 | 0.395349 | 0 | 0 | 0 | 0 | 0.208333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ddefb967dca5431defbe3d5e1aee38f006934e58 | 8,667 | py | Python | demo/main.py | ZiyangTian/tsp | b198a358d95389b34b04b694a6c7883cf21b53f0 | [
"MIT"
] | null | null | null | demo/main.py | ZiyangTian/tsp | b198a358d95389b34b04b694a6c7883cf21b53f0 | [
"MIT"
] | null | null | null | demo/main.py | ZiyangTian/tsp | b198a358d95389b34b04b694a6c7883cf21b53f0 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import problems.tspn as tspn
import solvers.rkga as rkga
import solvers.opt as opt
def tsp_test():
# data_file = os.path.join('demo', 'problems', 'tsp_1.txt')
# parameters = np.array(pd.read_csv(data_file, sep=' '))
# parameters = np.random.uniform(size=(30, 2))
# parameters = np.array([
# 0.607122, 0.664447, 0.953593, 0.021519, 0.757626, 0.921024, 0.586376, 0.433565, 0.786837, 0.052959,
# 0.016088, 0.581436, 0.496714, 0.633571, 0.227777, 0.971433, 0.665490, 0.074331, 0.383556, 0.104392])
# parameters = np.reshape(parameters, (10, 2))# np.transpose(np.reshape(parameters, (2, 10))) # #
# output = [1, 3, 8, 6, 10, 9, 5, 2, 4, 7, 1]
# rank = [0, 2, 7, 5, 9, 8, 4, 1, 3, 6, 0]
parameters = np.array([
0.902421046498, 0.77621271719, 0.722727240262, 0.579024761326, 0.202222502748,
0.629848925738, 0.577683327113, 0.943735341041, 0.387801872815, 0.846231151452,
0.248295276407, 0.526557661494, 0.367962107849, 0.578749472622, 0.555896495344,
0.251653475865, 0.907255613781, 0.245249027563, 0.52544531979, 0.115256640047,
0.892999587695, 0.492378832333, 0.683712610357, 0.622637519591, 0.57168470001,
0.764729790149, 0.455321988383, 0.383651641103, 0.114378142586, 0.0686257141516,
0.880942807367, 0.565920630956, 0.0762609396025, 0.710417785386, 0.222822900992,
0.043125608507, 0.226433818255, 0.568887954037, 0.858631853949, 0.949648342561,
0.390812160258, 0.8303623789, 0.257238816645, 0.558283157573, 0.763412862654,
0.158490634265, 0.624987630978, 0.390107045565, 0.130862344781, 0.510372583137,
0.674928789702, 0.881428356182, 0.964366215304, 0.525331313649, 0.706494712117,
0.449096582924, 0.788732677484, 0.526778478004, 0.318321798568, 0.3545657325,
0.607914569902, 0.670640404295, 0.070789142522, 0.556820580678, 0.809475252633,
0.394581642841, 0.317719793413, 0.870039653289, 0.375853198069, 0.19272404987,
0.342342952722, 0.821914770523, 0.589592002558, 0.210835572805, 0.748900316792,
0.84695495136, 0.516684883833, 0.801904939729, 0.508203739261, 0.432345157039,
0.936113150967, 0.636238987707, 0.39863340474, 0.0702509602592, 0.208057203091,
0.947559363155, 0.0211812129964, 0.352147795879, 0.674019523967, 0.0999767914088,
0.380454813888, 0.440897245531, 0.0485243910601, 0.862506649068, 0.620546948127,
0.545954375688, 0.514113046765, 0.66313845183, 0.350561488721, 0.000114044320017])
parameters = np.reshape(parameters, (50, 2))
rank = np.array([
1, 41, 27, 11, 16, 29, 2, 12, 31, 49, 13, 39, 5, 21, 36, 34, 43, 47, 17, 44, 32, 25, 3, 19, 22,
6, 7, 48, 28, 33, 9, 23, 45, 10, 37, 8, 24, 40, 14, 46, 30, 35, 42, 50, 18, 15, 4, 26, 38, 20, 1]) - 1
neighbors = tspn.EllipsoidTSPN(parameters)
solver = rkga.TSPSolver(population_size=10000)
solver.compile(neighbors, traceback=True, use_cuda=True)
# print(solver.solve(1000, 100))
# exit()
max_num_generations = 300
for g in range(1, max_num_generations + 1):
solver.evolute()
objective = solver.optimal.objective
if np.isnan(objective):
break
print(g, objective)
optimal_rank = solver.optimal.rank
optimal_rank = optimal_rank + [optimal_rank[0]]
plt.clf()
plt.close()
plt.figure()
plt.plot(
neighbors.parameters[:, 0], neighbors.parameters[:, 1], 'ro', color='red')
plt.plot(
neighbors.parameters[:, 0][optimal_rank], neighbors.parameters[:, 1][optimal_rank], 'r-', color='blue')
# plt.plot(
# neighbors.parameters[:, 0][rank], neighbors.parameters[:, 1][rank], 'r-', color='green')
plt.pause(0.001)
print(solver.optimal)
waypoints = neighbors.parameters[rank]
print('using...')
optimal_rank_opt = opt.opt2_search(neighbors.parameters, optimal_rank)
plt.clf()
plt.close()
plt.figure()
plt.plot(
neighbors.parameters[:, 0], neighbors.parameters[:, 1], 'ro', color='red')
plt.plot(
neighbors.parameters[:, 0][optimal_rank_opt], neighbors.parameters[:, 1][optimal_rank_opt], 'r-', color='blue')
plt.ioff()
plt.show()
def opt_test():
parameters = np.array([
0.902421046498, 0.77621271719, 0.722727240262, 0.579024761326, 0.202222502748,
0.629848925738, 0.577683327113, 0.943735341041, 0.387801872815, 0.846231151452,
0.248295276407, 0.526557661494, 0.367962107849, 0.578749472622, 0.555896495344,
0.251653475865, 0.907255613781, 0.245249027563, 0.52544531979, 0.115256640047,
0.892999587695, 0.492378832333, 0.683712610357, 0.622637519591, 0.57168470001,
0.764729790149, 0.455321988383, 0.383651641103, 0.114378142586, 0.0686257141516,
0.880942807367, 0.565920630956, 0.0762609396025, 0.710417785386, 0.222822900992,
0.043125608507, 0.226433818255, 0.568887954037, 0.858631853949, 0.949648342561,
0.390812160258, 0.8303623789, 0.257238816645, 0.558283157573, 0.763412862654,
0.158490634265, 0.624987630978, 0.390107045565, 0.130862344781, 0.510372583137,
0.674928789702, 0.881428356182, 0.964366215304, 0.525331313649, 0.706494712117,
0.449096582924, 0.788732677484, 0.526778478004, 0.318321798568, 0.3545657325,
0.607914569902, 0.670640404295, 0.070789142522, 0.556820580678, 0.809475252633,
0.394581642841, 0.317719793413, 0.870039653289, 0.375853198069, 0.19272404987,
0.342342952722, 0.821914770523, 0.589592002558, 0.210835572805, 0.748900316792,
0.84695495136, 0.516684883833, 0.801904939729, 0.508203739261, 0.432345157039,
0.936113150967, 0.636238987707, 0.39863340474, 0.0702509602592, 0.208057203091,
0.947559363155, 0.0211812129964, 0.352147795879, 0.674019523967, 0.0999767914088,
0.380454813888, 0.440897245531, 0.0485243910601, 0.862506649068, 0.620546948127,
0.545954375688, 0.514113046765, 0.66313845183, 0.350561488721, 0.000114044320017])
parameters = np.reshape(parameters, (50, 2))
problem = tspn.TSP(parameters, traceback=True)
solver = rkga.TSPSolver(population_size=10000)
solver.compile(problem, use_cuda=False)
solution = solver.solve(1000, 100)
print(solution)
optimal_rank = solver.optimal.rank
optimal_rank = optimal_rank + [optimal_rank[0]]
plt.figure()
plt.plot(parameters[:, 0], parameters[:, 1], 'ro', color='red')
plt.plot(parameters[:, 0][optimal_rank + [optimal_rank[0]]],
parameters[:, 1][optimal_rank + [optimal_rank[0]]],
'r-', color='blue')
optimal_rank_opt, optimal_journey_opt = opt.opt2_search(parameters, optimal_rank)
print('optimal_journey_opt=%f' % optimal_journey_opt)
plt.figure()
plt.plot(parameters[:, 0], parameters[:, 1], 'ro', color='red')
plt.plot(
parameters[:, 0][optimal_rank_opt], parameters[:, 1][optimal_rank_opt], 'r-', color='green')
plt.ioff()
plt.show()
def tspn_test():
neighbors = tspn.EllipsoidTSPN.from_randomly_generated(
(20,),
[0.]*6,
[1., 1., 1., 0.1, 0.1, 0.1])
nodes = tspn.TSP(neighbors.parameters[:, :3])
tsp_solver = rkga.TSPSolver(population_size=10000)
tsp_solver.compile(nodes, use_cuda=False)
tspn_solver = rkga.TSPNSolver(population_size=300, opt2_prop=0.1)
tspn_solver.compile(neighbors, use_cuda=False)
print(tsp_solver.solve(1000).objective)
print(tspn_solver.solve(1000).objective)
for _ in range(5):
tspn_solver.initialize()
print(tspn_solver.solve(1000).objective)
def data_test():
parameters_file = '/Users/Tianziyang/Desktop/data/tsp/3.parameters'
rank_file = '/Users/Tianziyang/Desktop/data/tsp/3.rank'
parameters = np.array(pd.read_csv(parameters_file, header=None))
rank = list(np.array(pd.read_csv(rank_file, header=None))[0])
rank = rank + [rank[0]]
neighbors = tspn.EllipsoidTSPN(parameters)
plt.figure()
plt.plot(
neighbors.parameters[:, 0], neighbors.parameters[:, 1], 'ro', color='red')
plt.plot(
neighbors.parameters[:, 0][rank], neighbors.parameters[:, 1][rank], 'r-', color='blue')
print('...')
# plt.plot(
# neighbors.parameters[:, 0][rank], neighbors.parameters[:, 1][rank], 'r-', color='green')
plt.pause(0.1)
waypoints = neighbors.parameters[rank]
print(np.sqrt(np.square((waypoints[1:] - waypoints[:-1])).sum(-1)).sum())
plt.ioff()
plt.show()
if __name__ == '__main__':
import data.generator
data.generator.main()
| 46.596774 | 119 | 0.673705 | 1,109 | 8,667 | 5.191163 | 0.251578 | 0.045857 | 0.025013 | 0.030571 | 0.709571 | 0.672746 | 0.645649 | 0.623068 | 0.60535 | 0.60535 | 0 | 0.418258 | 0.178493 | 8,667 | 185 | 120 | 46.848649 | 0.390309 | 0.09415 | 0 | 0.572414 | 0 | 0 | 0.023621 | 0.014045 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027586 | false | 0 | 0.055172 | 0 | 0.082759 | 0.068966 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 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 | 3 |
fb1a54d1e2d3dfebc90291c5e0d1d169089d4524 | 448 | py | Python | firstapp/migrations/0010_auto_20220112_1420.py | vashuteotia123/SDSGems | 8c0cf0d4fe4458f727a27d64804de3201b6b1c87 | [
"MIT"
] | 1 | 2022-02-06T13:00:05.000Z | 2022-02-06T13:00:05.000Z | firstapp/migrations/0010_auto_20220112_1420.py | vashuteotia123/SDSGems | 8c0cf0d4fe4458f727a27d64804de3201b6b1c87 | [
"MIT"
] | null | null | null | firstapp/migrations/0010_auto_20220112_1420.py | vashuteotia123/SDSGems | 8c0cf0d4fe4458f727a27d64804de3201b6b1c87 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.5 on 2022-01-12 08:50
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('firstapp', '0009_auto_20220109_2022'),
]
operations = [
migrations.RemoveField(
model_name='salesreturn',
name='amount',
),
migrations.RemoveField(
model_name='salesreturn',
name='center_stone',
),
]
| 20.363636 | 48 | 0.575893 | 43 | 448 | 5.860465 | 0.72093 | 0.166667 | 0.206349 | 0.238095 | 0.357143 | 0.357143 | 0 | 0 | 0 | 0 | 0 | 0.100977 | 0.314732 | 448 | 21 | 49 | 21.333333 | 0.71987 | 0.100446 | 0 | 0.4 | 1 | 0 | 0.177057 | 0.057357 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
fb20a790c8fd091da659646d73f97e41353fcc03 | 1,079 | py | Python | riskquant/model/poisson_frequency.py | confusedcrib/riskquant | 27c46f8e6df62ba7faac27ed6d5745b5026fd9a5 | [
"Apache-2.0"
] | 567 | 2020-01-31T18:02:38.000Z | 2022-03-24T14:36:39.000Z | riskquant/model/poisson_frequency.py | aspat20/riskquant | 7321c880f4a3e13adb10c848199b52175d8d6999 | [
"Apache-2.0"
] | 14 | 2020-02-04T15:35:33.000Z | 2020-11-04T20:45:30.000Z | riskquant/model/poisson_frequency.py | aspat20/riskquant | 7321c880f4a3e13adb10c848199b52175d8d6999 | [
"Apache-2.0"
] | 49 | 2020-02-01T02:22:10.000Z | 2022-03-31T21:28:09.000Z | """A Poisson model suitable for frequency. Returns an array of ints.
"""
# Copyright 2019-2020 Netflix, 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.
import numpy as np
class PoissonFrequency(object):
def __init__(self, frequency):
""":param frequency = Mean rate per interval"""
if frequency < 0:
raise AssertionError("Frequency must be non-negative.")
self.frequency = frequency
def draw(self, n=1):
return np.random.poisson(self.frequency, n)
def mean(self):
return self.frequency
| 32.69697 | 76 | 0.696942 | 150 | 1,079 | 4.986667 | 0.646667 | 0.080214 | 0.034759 | 0.042781 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016667 | 0.221501 | 1,079 | 32 | 77 | 33.71875 | 0.87381 | 0.63392 | 0 | 0 | 0 | 0 | 0.083558 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.3 | false | 0 | 0.1 | 0.2 | 0.7 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
fb2af56963c1ad9298c94e031abe591ba698b168 | 64 | py | Python | src/ConfigService/__init__.py | christopher-henderson/Tweeter | 9acf716821b0c799e41acc77a800961343715370 | [
"MIT"
] | null | null | null | src/ConfigService/__init__.py | christopher-henderson/Tweeter | 9acf716821b0c799e41acc77a800961343715370 | [
"MIT"
] | 1 | 2015-04-25T17:54:07.000Z | 2015-04-25T17:54:26.000Z | src/ConfigService/__init__.py | christopher-henderson/Tweeter | 9acf716821b0c799e41acc77a800961343715370 | [
"MIT"
] | null | null | null | from ConfigService import ConfigService
Config = ConfigService() | 32 | 39 | 0.859375 | 6 | 64 | 9.166667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.09375 | 64 | 2 | 40 | 32 | 0.948276 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
fb2b62529199fd8060d49d3d1a33c9e1c4b1288e | 20 | py | Python | smos_tools/__init__.py | ARGANS/smos-tools | 4a0e5bb54fdef52725e30f14a6a971ebeeb71881 | [
"MIT"
] | 2 | 2019-04-10T08:40:12.000Z | 2019-08-15T01:38:31.000Z | smos_tools/__init__.py | ARGANS/smos-tools | 4a0e5bb54fdef52725e30f14a6a971ebeeb71881 | [
"MIT"
] | null | null | null | smos_tools/__init__.py | ARGANS/smos-tools | 4a0e5bb54fdef52725e30f14a6a971ebeeb71881 | [
"MIT"
] | 1 | 2019-08-03T05:29:30.000Z | 2019-08-03T05:29:30.000Z | name = "smos_tools"
| 10 | 19 | 0.7 | 3 | 20 | 4.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 20 | 1 | 20 | 20 | 0.764706 | 0 | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
34bc8cbd46ff35b772ab2afc492bfc0727b94fcb | 63 | py | Python | notebooks/solutions/visualize_00.py | cpaniaguam/pandas-head-to-tail | c809b6ae5834057c51006ecc908266e6d5d05b15 | [
"CC-BY-4.0"
] | 88 | 2016-12-29T06:49:10.000Z | 2022-03-19T20:37:27.000Z | notebooks/solutions/visualize_00.py | paritosh666/pandas-head-to-tail | 891a72ea5a21f8e0c8f6a6d22c03a1de26a6f30b | [
"CC-BY-4.0"
] | 8 | 2018-06-17T21:47:27.000Z | 2018-07-11T22:31:17.000Z | notebooks/solutions/visualize_00.py | paritosh666/pandas-head-to-tail | 891a72ea5a21f8e0c8f6a6d22c03a1de26a6f30b | [
"CC-BY-4.0"
] | 76 | 2016-12-30T08:56:28.000Z | 2022-02-27T08:05:26.000Z | sns.factorplot('embarked', data=t, kind="count", hue="class");
| 31.5 | 62 | 0.68254 | 9 | 63 | 4.777778 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063492 | 63 | 1 | 63 | 63 | 0.728814 | 0 | 0 | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
34bd1a095999687dfdfdef9f3d052398d7dd9fea | 297 | py | Python | api/v0/const.py | xmm/fstore | ad6afe96a455619d5c3db7a2b485d4e3281c18d2 | [
"BSD-3-Clause"
] | 1 | 2015-09-10T04:25:03.000Z | 2015-09-10T04:25:03.000Z | api/v0/const.py | xmm/fstore | ad6afe96a455619d5c3db7a2b485d4e3281c18d2 | [
"BSD-3-Clause"
] | 1 | 2017-12-01T04:53:47.000Z | 2017-12-01T04:53:47.000Z | api/v0/const.py | xmm/fstore | ad6afe96a455619d5c3db7a2b485d4e3281c18d2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Copyright (c) 2014
@author: Marat Khayrullin <xmm.dev@gmail.com>
'''
API_VERSION_V0 = 0
API_VERSION = API_VERSION_V0
bp_name = 'api_v0'
api_v0_prefix = '{prefix}/v{version}'.format(
prefix='/api', # current_app.config['URL_PREFIX'],
version=API_VERSION_V0
)
| 19.8 | 55 | 0.680135 | 44 | 297 | 4.295455 | 0.590909 | 0.21164 | 0.190476 | 0.201058 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043137 | 0.141414 | 297 | 14 | 56 | 21.214286 | 0.698039 | 0.407407 | 0 | 0 | 0 | 0 | 0.173653 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
34d0904ccf466f373b1a0f29b6eeb9412f52ac07 | 190 | py | Python | blackhathacker.py | bob34-byte/pytube | 30d1e1d336b3b896c15f2ef1be5432dd92441f0e | [
"MIT"
] | null | null | null | blackhathacker.py | bob34-byte/pytube | 30d1e1d336b3b896c15f2ef1be5432dd92441f0e | [
"MIT"
] | null | null | null | blackhathacker.py | bob34-byte/pytube | 30d1e1d336b3b896c15f2ef1be5432dd92441f0e | [
"MIT"
] | null | null | null | import pygame
pygame.init()
screen = pygame.display.set_mode(500,500)
running = True
while running:
for event in pygame.event.get():
if event.type = pygame.QUIT:
running = False
| 21.111111 | 41 | 0.710526 | 28 | 190 | 4.785714 | 0.678571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038462 | 0.178947 | 190 | 8 | 42 | 23.75 | 0.820513 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.125 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
34f58139b1263cdf13af270de6bb46d2a11ba19c | 273 | py | Python | test/fixtures.py | pmatiello/assemblage | a508b354e3a90f286e4e79e420e7d83478fc8cef | [
"MIT"
] | 1 | 2017-12-22T21:47:48.000Z | 2017-12-22T21:47:48.000Z | test/fixtures.py | pmatiello/assemblage | a508b354e3a90f286e4e79e420e7d83478fc8cef | [
"MIT"
] | null | null | null | test/fixtures.py | pmatiello/assemblage | a508b354e3a90f286e4e79e420e7d83478fc8cef | [
"MIT"
] | null | null | null | class no_deps(object):
pass
class one_dep(object):
def __init__(self, dependency):
self.dependency = dependency
class two_deps(object):
def __init__(self, first_dep, second_dep):
self.first_dep = first_dep
self.second_dep = second_dep
| 22.75 | 46 | 0.688645 | 37 | 273 | 4.621622 | 0.378378 | 0.140351 | 0.152047 | 0.19883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.223443 | 273 | 11 | 47 | 24.818182 | 0.806604 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0.111111 | 0 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
34f5cba36d6d70e3b0dd6e5a05062754009044dc | 47 | py | Python | pytype/__version__.py | priyansh19/pytype | 44b1f6f7cddccb326abac4c21b4f26688369764e | [
"Apache-2.0"
] | 2 | 2019-07-25T12:53:02.000Z | 2019-08-18T16:26:16.000Z | pytype/__version__.py | priyansh19/pytype | 44b1f6f7cddccb326abac4c21b4f26688369764e | [
"Apache-2.0"
] | null | null | null | pytype/__version__.py | priyansh19/pytype | 44b1f6f7cddccb326abac4c21b4f26688369764e | [
"Apache-2.0"
] | null | null | null | # pylint: skip-file
__version__ = '2019.07.11'
| 15.666667 | 26 | 0.702128 | 7 | 47 | 4.142857 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195122 | 0.12766 | 47 | 2 | 27 | 23.5 | 0.512195 | 0.361702 | 0 | 0 | 0 | 0 | 0.357143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
5519a5af8a94ff074421e2feee72e2140be2a703 | 8,134 | py | Python | scenario_runner/srunner/tools/background_manager.py | neilsambhu/carla-simulator3 | 9838cd12c865950088d33a931f75424da0077fc7 | [
"CNRI-Python",
"RSA-MD"
] | null | null | null | scenario_runner/srunner/tools/background_manager.py | neilsambhu/carla-simulator3 | 9838cd12c865950088d33a931f75424da0077fc7 | [
"CNRI-Python",
"RSA-MD"
] | null | null | null | scenario_runner/srunner/tools/background_manager.py | neilsambhu/carla-simulator3 | 9838cd12c865950088d33a931f75424da0077fc7 | [
"CNRI-Python",
"RSA-MD"
] | null | null | null | #!/usr/bin/env python
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
"""
Several atomic behaviors to help with the communication with the background activity,
removing its interference with other scenarios
"""
import py_trees
from srunner.scenariomanager.scenarioatomics.atomic_behaviors import AtomicBehavior
class RoadBehaviorManager(AtomicBehavior):
"""
Updates the blackboard to change the parameters of the road behavior.
None values imply that these values won't be changed
Args:
num_front_vehicles (int): Amount of vehicles in front of the ego. Can't be negative
num_back_vehicles (int): Amount of vehicles behind it. Can't be negative
vehicle_dist (float): Minimum distance between the road vehicles. Must between 0 and 'spawn_dist'
spawn_dist (float): Minimum distance between spawned vehicles. Must be positive
"""
def __init__(self, num_front_vehicles=None, num_back_vehicles=None,
vehicle_dist=None, spawn_dist=None, name="RoadBehaviorManager"):
self._num_front_vehicles = num_front_vehicles
self._num_back_vehicles = num_back_vehicles
self._vehicle_dist = vehicle_dist
self._spawn_dist = spawn_dist
super(RoadBehaviorManager, self).__init__(name)
def update(self):
py_trees.blackboard.Blackboard().set(
"BA_RoadBehavior",
[self._num_front_vehicles, self._num_back_vehicles, self._vehicle_dist, self._spawn_dist],
overwrite=True
)
return py_trees.common.Status.SUCCESS
class OppositeBehaviorManager(AtomicBehavior):
"""
Updates the blackboard to change the parameters of the opposite road behavior.
None values imply that these values won't be changed
Args:
source_dist (float): Distance between the opposite sources and the ego vehicle. Must be positive
vehicle_dist (float) Minimum distance between the opposite vehicles. Must between 0 and 'spawn_dist'
spawn_dist (float): Minimum distance between spawned vehicles. Must be positive
max_actors (int): Max amount of concurrent alive actors spawned by the same source. Can't be negative
"""
def __init__(self, source_dist=None, vehicle_dist=None, spawn_dist=None,
max_actors=None, name="OppositeBehaviorManager"):
self._source_dist = source_dist
self._vehicle_dist = vehicle_dist
self._spawn_dist = spawn_dist
self._max_actors = max_actors
super(OppositeBehaviorManager, self).__init__(name)
def update(self):
py_trees.blackboard.Blackboard().set(
"BA_OppositeBehavior",
[self._source_dist, self._vehicle_dist, self._spawn_dist, self._max_actors],
overwrite=True
)
return py_trees.common.Status.SUCCESS
class JunctionBehaviorManager(AtomicBehavior):
"""
Updates the blackboard to change the parameters of the junction behavior.
None values imply that these values won't be changed
Args:
source_dist (float): Distance between the junctiob sources and the junction entry. Must be positive
vehicle_dist (float) Minimum distance between the junction vehicles. Must between 0 and 'spawn_dist'
spawn_dist (float): Minimum distance between spawned vehicles. Must be positive
max_actors (int): Max amount of concurrent alive actors spawned by the same source. Can't be negative
"""
def __init__(self, source_dist=None, vehicle_dist=None, spawn_dist=None,
max_actors=None, name="JunctionBehaviorManager"):
self._source_dist = source_dist
self._vehicle_dist = vehicle_dist
self._spawn_dist = spawn_dist
self._max_actors = max_actors
super(JunctionBehaviorManager, self).__init__(name)
def update(self):
py_trees.blackboard.Blackboard().set(
"BA_JunctionBehavior",
[self._source_dist, self._vehicle_dist, self._spawn_dist, self._max_actors],
overwrite=True
)
return py_trees.common.Status.SUCCESS
class Scenario2Manager(AtomicBehavior):
"""
Updates the blackboard to tell the background activity that a Scenario2 has to be triggered.
'stop_duration' is the amount of time, in seconds, the vehicles will be stopped
"""
def __init__(self, stop_duration=10, name="Scenario2Manager"):
self._stop_duration = stop_duration
super(Scenario2Manager, self).__init__(name)
def update(self):
py_trees.blackboard.Blackboard().set("BA_Scenario2", self._stop_duration, overwrite=True)
return py_trees.common.Status.SUCCESS
class Scenario4Manager(AtomicBehavior):
"""
Updates the blackboard to tell the background activity that a Scenario4 has been triggered.
'crossing_dist' is the distance between the crossing actor and the junction
"""
def __init__(self, crossing_dist=10, name="Scenario4Manager"):
self._crossing_dist = crossing_dist
super(Scenario4Manager, self).__init__(name)
def update(self):
"""Updates the blackboard and succeds"""
py_trees.blackboard.Blackboard().set("BA_Scenario4", self._crossing_dist, overwrite=True)
return py_trees.common.Status.SUCCESS
class Scenario7Manager(AtomicBehavior):
"""
Updates the blackboard to tell the background activity that a Scenario7 has been triggered
'entry_direction' is the direction from which the incoming traffic enters the junction. It should be
something like 'left', 'right' or 'opposite'
"""
def __init__(self, entry_direction, name="Scenario7Manager"):
self._entry_direction = entry_direction
super(Scenario7Manager, self).__init__(name)
def update(self):
"""Updates the blackboard and succeds"""
py_trees.blackboard.Blackboard().set("BA_Scenario7", self._entry_direction, overwrite=True)
return py_trees.common.Status.SUCCESS
class Scenario8Manager(AtomicBehavior):
"""
Updates the blackboard to tell the background activity that a Scenario8 has been triggered
'entry_direction' is the direction from which the incoming traffic enters the junction. It should be
something like 'left', 'right' or 'opposite'
"""
def __init__(self, entry_direction, name="Scenario8Manager"):
self._entry_direction = entry_direction
super(Scenario8Manager, self).__init__(name)
def update(self):
"""Updates the blackboard and succeds"""
py_trees.blackboard.Blackboard().set("BA_Scenario8", self._entry_direction, overwrite=True)
return py_trees.common.Status.SUCCESS
class Scenario9Manager(AtomicBehavior):
"""
Updates the blackboard to tell the background activity that a Scenario9 has been triggered
'entry_direction' is the direction from which the incoming traffic enters the junction. It should be
something like 'left', 'right' or 'opposite'
"""
def __init__(self, entry_direction, name="Scenario9Manager"):
self._entry_direction = entry_direction
super(Scenario9Manager, self).__init__(name)
def update(self):
"""Updates the blackboard and succeds"""
py_trees.blackboard.Blackboard().set("BA_Scenario9", self._entry_direction, overwrite=True)
return py_trees.common.Status.SUCCESS
class Scenario10Manager(AtomicBehavior):
"""
Updates the blackboard to tell the background activity that a Scenario10 has been triggered
'entry_direction' is the direction from which the incoming traffic enters the junction. It should be
something like 'left', 'right' or 'opposite'
"""
def __init__(self, entry_direction, name="Scenario10Manager"):
self._entry_direction = entry_direction
super(Scenario10Manager, self).__init__(name)
def update(self):
"""Updates the blackboard and succeds"""
py_trees.blackboard.Blackboard().set("BA_Scenario10", self._entry_direction, overwrite=True)
return py_trees.common.Status.SUCCESS
| 40.467662 | 109 | 0.715884 | 998 | 8,134 | 5.594188 | 0.154309 | 0.050152 | 0.050152 | 0.054809 | 0.73079 | 0.721118 | 0.687623 | 0.66201 | 0.66201 | 0.653054 | 0 | 0.006506 | 0.206295 | 8,134 | 200 | 110 | 40.67 | 0.858271 | 0.403246 | 0 | 0.47191 | 0 | 0 | 0.06302 | 0.010066 | 0 | 0 | 0 | 0 | 0 | 1 | 0.202247 | false | 0 | 0.022472 | 0 | 0.426966 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 3 |
5521e7fb95205e5d9fdd79ded765033334c9c80e | 3,258 | py | Python | huaban/get_boards_url.py | kernel1994/simple_spider | 5333d6ff7c20c805f528d26040c1d78b18c326db | [
"MIT"
] | null | null | null | huaban/get_boards_url.py | kernel1994/simple_spider | 5333d6ff7c20c805f528d26040c1d78b18c326db | [
"MIT"
] | null | null | null | huaban/get_boards_url.py | kernel1994/simple_spider | 5333d6ff7c20c805f528d26040c1d78b18c326db | [
"MIT"
] | 1 | 2019-01-17T02:42:33.000Z | 2019-01-17T02:42:33.000Z | # coding:utf-8
# author: gaozhengjie
# E-mail: gaozhengj@foxmail.com
# Home: https://www.gaozhengjie.cn/
# Desc: Save the urls of id (category directory) of a user in huaban.com to the local urls.txt file.
import requests
import json
# The header is very important and interesting, so be sure to set it up, otherwise you won't get what you want.
headers = {'user-agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36',
'accept': '*/*',
'cookie':'_uab_collina=155757332922427333827892; sid=8rdXlP7boQ0UouNPum0Wrq9YtqB.tuHW4kTKV%2BaD%2B1Xvn82ubiIaSiJMWJWfCcZRJtaQUlY; _f=iVBORw0KGgoAAAANSUhEUgAAADIAAAAUCAYAAADPym6aAAABJElEQVRYR%2B1VOxYCIQwMF7KzsvFGXmW9kY2VnQfxCvgCRmfzCD9lnz53myWQAJOZBEfeeyIi7xz%2FyEXzZRPFhYbPc3hHXO6I6TbFixmfEyByeQQSxu6BcAXSkIGMazMjuBcz8pQcq44o0Iuyyc1p38C62kNsOdeSZDOQlLRQ80uOMalDgWCGMfsW2B5%2FATMUyGh2uhgptV9Ly6l5nNOa1%2F6zmjTqkH2aGEk2jY72%2B5k%2BNd9lBfLMh8GIP11iK95vw8uv7RQr4oNxOfbQ%2F7g5Z4meveyt0uKDEIiMLRC4jrG1%2FjkwKxCRE2e5lF30leyXYvQ628MZKV3q64HUFvnPAMkVuSWlEouLSiuV6dp2WtPBrPZ7uO5I18tbXWvEC27t%2BTcv%2Bx0JuJAoUm2L%2FQAAAABJRU5ErkJggg%3D%3D%2CWin32.1366.768.24; Hm_lvt_d4a0e7c3cd16eb58a65472f40e7ee543=1557573215; UM_distinctid=16aa699246245a-0ae9968fda6da2-5a442916-100200-16aa69924636a9; __auc=661f053016aa699274d8cb53e0a; __asc=1d94eed716aa7143ffd3169df19; CNZZDATA1256903590=1618668537-1557570594-%7C1557581395; _cnzz_CV1256903590=is-logon%7Clogged-out%7C1557582065027; Hm_lpvt_d4a0e7c3cd16eb58a65472f40e7ee543=1557582064',
'accept-encoding':'gzip',
'accept-language':'zh-CN,zh;q=0.9,en;q=0.8',
'referer':'https://huaban.com/qe43fqwuht/',
'Content-Type':'application/json; charset=utf-8',
'X-Request':'JSON',
'X-Requested-With':'XMLHttpRequest'
}
# Unfortunately, I didn't find the rules inside. This is the URL I manually filtered.
# I will improve it if there is a chance.
# qe43fqwuht is the id of the user who I want to crwal.
url_list = [
'https://huaban.com/qe43fqwuht/',
'https://huaban.com/qe43fqwuht/?jvjjofqw&limit=10&wfl=1&max=30595361',
'https://huaban.com/qe43fqwuht/?jvjjofqx&limit=10&wfl=1&max=32147297',
'https://huaban.com/qe43fqwuht/?jvjjofqy&limit=10&wfl=1&max=18879356',
'https://huaban.com/qe43fqwuht/?jvjjofqz&limit=10&wfl=1&max=34344656',
'https://huaban.com/qe43fqwuht/?jvjjofr0&limit=10&wfl=1&max=38524174',
'https://huaban.com/qe43fqwuht/?jvjjofr1&limit=10&wfl=1&max=18177330',
'https://huaban.com/qe43fqwuht/?jvjjofr2&limit=10&wfl=1&max=39828976',
'https://huaban.com/qe43fqwuht/?jvjjofr3&limit=10&wfl=1&max=42824839',
'https://huaban.com/qe43fqwuht/?jvjjofr4&limit=10&wfl=1&max=51987919'
]
board_id_list = []
for each_page in url_list:
res = requests.get(each_page, headers=headers)
for each_id in json.loads(res.text)['user']['boards']:
print(each_id['board_id'], each_id['title'])
board_id_list.append(each_id['board_id'])
with open('urls.txt', 'w', encoding='utf-8') as fp:
for i in board_id_list:
fp.write('https://huaban.com/boards/' + str(i) + '/\n')
with open('urls.txt', 'r', encoding='utf-8') as fp:
urls = fp.readlines() | 66.489796 | 1,022 | 0.745242 | 400 | 3,258 | 5.995 | 0.5125 | 0.048791 | 0.070058 | 0.110092 | 0.065888 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173352 | 0.120012 | 3,258 | 49 | 1,023 | 66.489796 | 0.663062 | 0.148557 | 0 | 0 | 0 | 0.314286 | 0.749724 | 0.373942 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.057143 | 0 | 0.057143 | 0.028571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
552393990bc3283a72724fc1fc2cdb860c675261 | 231 | py | Python | src/visu/__init__.py | JonasFrey96/PLR2 | a0498e6ff283a27c6db11b3d57d3b3100026f069 | [
"MIT"
] | null | null | null | src/visu/__init__.py | JonasFrey96/PLR2 | a0498e6ff283a27c6db11b3d57d3b3100026f069 | [
"MIT"
] | 2 | 2020-06-30T17:33:54.000Z | 2020-07-07T18:12:21.000Z | src/visu/__init__.py | JonasFrey96/PLR2 | a0498e6ff283a27c6db11b3d57d3b3100026f069 | [
"MIT"
] | null | null | null | from .helper_functions import save_image
from .visualizer import Visualizer, plot_pcd, plot_two_pcd, SequenceVisualizer
__all__ = (
'Visualizer',
'save_image',
'plot_pcd',
'plot_two_pcd',
'SequenceVisualizer'
)
| 23.1 | 78 | 0.731602 | 26 | 231 | 6 | 0.461538 | 0.115385 | 0.141026 | 0.179487 | 0.448718 | 0.448718 | 0 | 0 | 0 | 0 | 0 | 0 | 0.17316 | 231 | 9 | 79 | 25.666667 | 0.816754 | 0 | 0 | 0 | 0 | 0 | 0.251082 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9b277ebded23099d56ac5500c9da3f55fe644859 | 808 | py | Python | src/Rumor/models.py | HarleyCody/rumor | 9642f2fcb19c2dd486e7a18258f9d1948fa1f8b2 | [
"bzip2-1.0.6"
] | null | null | null | src/Rumor/models.py | HarleyCody/rumor | 9642f2fcb19c2dd486e7a18258f9d1948fa1f8b2 | [
"bzip2-1.0.6"
] | 6 | 2020-06-05T20:55:19.000Z | 2021-09-22T18:32:17.000Z | src/Rumor/models.py | HarleyCody/rumor | 9642f2fcb19c2dd486e7a18258f9d1948fa1f8b2 | [
"bzip2-1.0.6"
] | null | null | null | from django.db import models
from RumorValidator import settings
# Create your models here.
class RumorManager(models.Manager):
def all(self, *args, **kwargs):
qs = super(RumorManager, self).all(*args, **kwargs).order_by("timestamp")
return qs
class Rumor(models.Model):
rumor = models.CharField(max_length=200, null=True)
isReal = models.BooleanField(default=True)
province = models.CharField(max_length=4, default = 'CN', choices=settings.PROVINCE_CHOICES)
timestamp = models.DateTimeField(auto_now_add=True, null=True)
objects = RumorManager()
def save(self, *args, **kwargs):
super(Rumor, self).save(*args, **kwargs)
def __str__(self):
return str(self.rumor)
def __unicode__(self):
return str(self.rumor)
| 29.925926 | 99 | 0.675743 | 99 | 808 | 5.373737 | 0.474747 | 0.075188 | 0.052632 | 0.090226 | 0.082707 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006202 | 0.201733 | 808 | 26 | 100 | 31.076923 | 0.818605 | 0.029703 | 0 | 0.111111 | 0 | 0 | 0.014085 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0.111111 | 0.888889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
9b2d16d63bb36dfab3fb46ea12bed9e7db395327 | 431 | py | Python | lib/PyAMF-0.6.1/pyamf/adapters/_sqlalchemy_orm_collections.py | MiCHiLU/google_appengine_sdk | 3da9f20d7e65e26c4938d2c4054bc4f39cbc5522 | [
"Apache-2.0"
] | 790 | 2015-01-03T02:13:39.000Z | 2020-05-10T19:53:57.000Z | AppServer/lib/PyAMF-0.6.1/pyamf/adapters/_sqlalchemy_orm_collections.py | nlake44/appscale | 6944af660ca4cb772c9b6c2332ab28e5ef4d849f | [
"Apache-2.0"
] | 1,361 | 2015-01-08T23:09:40.000Z | 2020-04-14T00:03:04.000Z | AppServer/lib/PyAMF-0.6.1/pyamf/adapters/_sqlalchemy_orm_collections.py | nlake44/appscale | 6944af660ca4cb772c9b6c2332ab28e5ef4d849f | [
"Apache-2.0"
] | 155 | 2015-01-08T22:59:31.000Z | 2020-04-08T08:01:53.000Z | # Copyright (c) The PyAMF Project.
# See LICENSE for details.
"""
SQLAlchemy adapter module.
@see: U{SQLAlchemy homepage<http://www.sqlalchemy.org>}
@since: 0.4
"""
from sqlalchemy.orm import collections
import pyamf
from pyamf.adapters import util
pyamf.add_type(collections.InstrumentedList, util.to_list)
pyamf.add_type(collections.InstrumentedDict, util.to_dict)
pyamf.add_type(collections.InstrumentedSet, util.to_set)
| 20.52381 | 58 | 0.788863 | 59 | 431 | 5.661017 | 0.59322 | 0.071856 | 0.107784 | 0.206587 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005168 | 0.102088 | 431 | 20 | 59 | 21.55 | 0.857881 | 0.359629 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
9b4051578dfd2b47680640a4661284413bb9fd25 | 46 | py | Python | src/aws_assume_role/version.py | nirmesika/onelogin-sec | cfc5496b1872926375778cf0df38526503839122 | [
"MIT"
] | null | null | null | src/aws_assume_role/version.py | nirmesika/onelogin-sec | cfc5496b1872926375778cf0df38526503839122 | [
"MIT"
] | null | null | null | src/aws_assume_role/version.py | nirmesika/onelogin-sec | cfc5496b1872926375778cf0df38526503839122 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
__version__ = '1.6.1'
| 11.5 | 22 | 0.630435 | 8 | 46 | 3.125 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0.152174 | 46 | 3 | 23 | 15.333333 | 0.564103 | 0.456522 | 0 | 0 | 0 | 0 | 0.208333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9b63bb833cbad1d58fe8003a42b63d1ef1bf46ef | 75,437 | py | Python | krysztalki/workDir/proba/tabliczka mnozenia/symetrie_generowane.py | woblob/Crystal_Symmetry | be2984b4487d6075986ef60822a347d0b0e6b885 | [
"MIT"
] | null | null | null | krysztalki/workDir/proba/tabliczka mnozenia/symetrie_generowane.py | woblob/Crystal_Symmetry | be2984b4487d6075986ef60822a347d0b0e6b885 | [
"MIT"
] | null | null | null | krysztalki/workDir/proba/tabliczka mnozenia/symetrie_generowane.py | woblob/Crystal_Symmetry | be2984b4487d6075986ef60822a347d0b0e6b885 | [
"MIT"
] | null | null | null | import podstawa as pod
# missing matrices
_matrix_inv_000_h00_miss = pod.matrices_dict["inv_000"] + pod._translation_h00 #0
_matrix_m_0yz_h00_miss = pod.matrices_dict["m_0yz"] + pod._translation_h00 #1
_matrix_m_x0z_h00_miss = pod.matrices_dict["m_x0z"] + pod._translation_h00 #2
_matrix_m_xy0_h00_miss = pod.matrices_dict["m_xy0"] + pod._translation_h00 #3
_matrix_m_xmxz_h00_miss = pod.matrices_dict["m_xmxz"] + pod._translation_h00 #4
_matrix_m_xymy_h00_miss = pod.matrices_dict["m_xymy"] + pod._translation_h00 #5
_matrix_m_xymx_h00_miss = pod.matrices_dict["m_xymx"] + pod._translation_h00 #6
_matrix_m_xyx_h00_miss = pod.matrices_dict["m_xyx"] + pod._translation_h00 #7
_matrix_m_xxz_h00_miss = pod.matrices_dict["m_xxz"] + pod._translation_h00 #8
_matrix_m_xyy_h00_miss = pod.matrices_dict["m_xyy"] + pod._translation_h00 #9
_matrix_2_x00_h00_miss = pod.matrices_dict["2_x00"] + pod._translation_h00 #10
_matrix_2_0y0_h00_miss = pod.matrices_dict["2_0y0"] + pod._translation_h00 #11
_matrix_2_00z_h00_miss = pod.matrices_dict["2_00z"] + pod._translation_h00 #12
_matrix_2_xx0_h00_miss = pod.matrices_dict["2_xx0"] + pod._translation_h00 #13
_matrix_2_x0x_h00_miss = pod.matrices_dict["2_x0x"] + pod._translation_h00 #14
_matrix_2_0yy_h00_miss = pod.matrices_dict["2_0yy"] + pod._translation_h00 #15
_matrix_2_xmx0_h00_miss = pod.matrices_dict["2_xmx0"] + pod._translation_h00 #16
_matrix_2_mx0x_h00_miss = pod.matrices_dict["2_mx0x"] + pod._translation_h00 #17
_matrix_2_0myy_h00_miss = pod.matrices_dict["2_0myy"] + pod._translation_h00 #18
_matrix_3_xxx_h00_miss = pod.matrices_dict["3_xxx"] + pod._translation_h00 #19
_matrix_3_xmxmx_h00_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_h00 #20
_matrix_3_mxxmx_h00_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_h00 #21
_matrix_3_mxmxx_h00_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_h00 #22
_matrix_m3_xxx_h00_miss = pod.matrices_dict["m3_xxx"] + pod._translation_h00 #23
_matrix_m3_xmxmx_h00_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_h00 #24
_matrix_m3_mxxmx_h00_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_h00 #25
_matrix_m3_mxmxx_h00_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_h00 #26
_matrix_4_x00_h00_miss = pod.matrices_dict["4_x00"] + pod._translation_h00 #27
_matrix_4_0y0_h00_miss = pod.matrices_dict["4_0y0"] + pod._translation_h00 #28
_matrix_4_00z_h00_miss = pod.matrices_dict["4_00z"] + pod._translation_h00 #29
_matrix_m4_x00_h00_miss = pod.matrices_dict["-4_x00"] + pod._translation_h00 #30
_matrix_m4_0y0_h00_miss = pod.matrices_dict["-4_0y0"] + pod._translation_h00 #31
_matrix_m4_00z_h00_miss = pod.matrices_dict["-4_00z"] + pod._translation_h00 #32
_matrix_inv_000_0h0_miss = pod.matrices_dict["inv_000"] + pod._translation_0h0 #33
_matrix_m_0yz_0h0_miss = pod.matrices_dict["m_0yz"] + pod._translation_0h0 #34
_matrix_m_x0z_0h0_miss = pod.matrices_dict["m_x0z"] + pod._translation_0h0 #35
_matrix_m_xy0_0h0_miss = pod.matrices_dict["m_xy0"] + pod._translation_0h0 #36
_matrix_m_xmxz_0h0_miss = pod.matrices_dict["m_xmxz"] + pod._translation_0h0 #37
_matrix_m_xymy_0h0_miss = pod.matrices_dict["m_xymy"] + pod._translation_0h0 #38
_matrix_m_xymx_0h0_miss = pod.matrices_dict["m_xymx"] + pod._translation_0h0 #39
_matrix_m_xyx_0h0_miss = pod.matrices_dict["m_xyx"] + pod._translation_0h0 #40
_matrix_m_xxz_0h0_miss = pod.matrices_dict["m_xxz"] + pod._translation_0h0 #41
_matrix_m_xyy_0h0_miss = pod.matrices_dict["m_xyy"] + pod._translation_0h0 #42
_matrix_2_x00_0h0_miss = pod.matrices_dict["2_x00"] + pod._translation_0h0 #43
_matrix_2_0y0_0h0_miss = pod.matrices_dict["2_0y0"] + pod._translation_0h0 #44
_matrix_2_00z_0h0_miss = pod.matrices_dict["2_00z"] + pod._translation_0h0 #45
_matrix_2_xx0_0h0_miss = pod.matrices_dict["2_xx0"] + pod._translation_0h0 #46
_matrix_2_x0x_0h0_miss = pod.matrices_dict["2_x0x"] + pod._translation_0h0 #47
_matrix_2_0yy_0h0_miss = pod.matrices_dict["2_0yy"] + pod._translation_0h0 #48
_matrix_2_xmx0_0h0_miss = pod.matrices_dict["2_xmx0"] + pod._translation_0h0 #49
_matrix_2_mx0x_0h0_miss = pod.matrices_dict["2_mx0x"] + pod._translation_0h0 #50
_matrix_2_0myy_0h0_miss = pod.matrices_dict["2_0myy"] + pod._translation_0h0 #51
_matrix_3_xxx_0h0_miss = pod.matrices_dict["3_xxx"] + pod._translation_0h0 #52
_matrix_3_xmxmx_0h0_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_0h0 #53
_matrix_3_mxxmx_0h0_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_0h0 #54
_matrix_3_mxmxx_0h0_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_0h0 #55
_matrix_m3_xxx_0h0_miss = pod.matrices_dict["m3_xxx"] + pod._translation_0h0 #56
_matrix_m3_xmxmx_0h0_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_0h0 #57
_matrix_m3_mxxmx_0h0_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_0h0 #58
_matrix_m3_mxmxx_0h0_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_0h0 #59
_matrix_4_x00_0h0_miss = pod.matrices_dict["4_x00"] + pod._translation_0h0 #60
_matrix_4_0y0_0h0_miss = pod.matrices_dict["4_0y0"] + pod._translation_0h0 #61
_matrix_4_00z_0h0_miss = pod.matrices_dict["4_00z"] + pod._translation_0h0 #62
_matrix_m4_x00_0h0_miss = pod.matrices_dict["-4_x00"] + pod._translation_0h0 #63
_matrix_m4_0y0_0h0_miss = pod.matrices_dict["-4_0y0"] + pod._translation_0h0 #64
_matrix_m4_00z_0h0_miss = pod.matrices_dict["-4_00z"] + pod._translation_0h0 #65
_matrix_inv_000_00h_miss = pod.matrices_dict["inv_000"] + pod._translation_00h #66
_matrix_m_0yz_00h_miss = pod.matrices_dict["m_0yz"] + pod._translation_00h #67
_matrix_m_x0z_00h_miss = pod.matrices_dict["m_x0z"] + pod._translation_00h #68
_matrix_m_xy0_00h_miss = pod.matrices_dict["m_xy0"] + pod._translation_00h #69
_matrix_m_xmxz_00h_miss = pod.matrices_dict["m_xmxz"] + pod._translation_00h #70
_matrix_m_xymy_00h_miss = pod.matrices_dict["m_xymy"] + pod._translation_00h #71
_matrix_m_xymx_00h_miss = pod.matrices_dict["m_xymx"] + pod._translation_00h #72
_matrix_m_xyx_00h_miss = pod.matrices_dict["m_xyx"] + pod._translation_00h #73
_matrix_m_xxz_00h_miss = pod.matrices_dict["m_xxz"] + pod._translation_00h #74
_matrix_m_xyy_00h_miss = pod.matrices_dict["m_xyy"] + pod._translation_00h #75
_matrix_2_x00_00h_miss = pod.matrices_dict["2_x00"] + pod._translation_00h #76
_matrix_2_0y0_00h_miss = pod.matrices_dict["2_0y0"] + pod._translation_00h #77
_matrix_2_00z_00h_miss = pod.matrices_dict["2_00z"] + pod._translation_00h #78
_matrix_2_xx0_00h_miss = pod.matrices_dict["2_xx0"] + pod._translation_00h #79
_matrix_2_x0x_00h_miss = pod.matrices_dict["2_x0x"] + pod._translation_00h #80
_matrix_2_0yy_00h_miss = pod.matrices_dict["2_0yy"] + pod._translation_00h #81
_matrix_2_xmx0_00h_miss = pod.matrices_dict["2_xmx0"] + pod._translation_00h #82
_matrix_2_mx0x_00h_miss = pod.matrices_dict["2_mx0x"] + pod._translation_00h #83
_matrix_2_0myy_00h_miss = pod.matrices_dict["2_0myy"] + pod._translation_00h #84
_matrix_3_xxx_00h_miss = pod.matrices_dict["3_xxx"] + pod._translation_00h #85
_matrix_3_xmxmx_00h_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_00h #86
_matrix_3_mxxmx_00h_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_00h #87
_matrix_3_mxmxx_00h_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_00h #88
_matrix_m3_xxx_00h_miss = pod.matrices_dict["m3_xxx"] + pod._translation_00h #89
_matrix_m3_xmxmx_00h_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_00h #90
_matrix_m3_mxxmx_00h_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_00h #91
_matrix_m3_mxmxx_00h_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_00h #92
_matrix_4_x00_00h_miss = pod.matrices_dict["4_x00"] + pod._translation_00h #93
_matrix_4_0y0_00h_miss = pod.matrices_dict["4_0y0"] + pod._translation_00h #94
_matrix_4_00z_00h_miss = pod.matrices_dict["4_00z"] + pod._translation_00h #95
_matrix_m4_x00_00h_miss = pod.matrices_dict["-4_x00"] + pod._translation_00h #96
_matrix_m4_0y0_00h_miss = pod.matrices_dict["-4_0y0"] + pod._translation_00h #97
_matrix_m4_00z_00h_miss = pod.matrices_dict["-4_00z"] + pod._translation_00h #98
_matrix_inv_000_0hh_miss = pod.matrices_dict["inv_000"] + pod._translation_0hh #99
_matrix_m_0yz_0hh_miss = pod.matrices_dict["m_0yz"] + pod._translation_0hh #100
_matrix_m_x0z_0hh_miss = pod.matrices_dict["m_x0z"] + pod._translation_0hh #101
_matrix_m_xy0_0hh_miss = pod.matrices_dict["m_xy0"] + pod._translation_0hh #102
_matrix_m_xmxz_0hh_miss = pod.matrices_dict["m_xmxz"] + pod._translation_0hh #103
_matrix_m_xymy_0hh_miss = pod.matrices_dict["m_xymy"] + pod._translation_0hh #104
_matrix_m_xymx_0hh_miss = pod.matrices_dict["m_xymx"] + pod._translation_0hh #105
_matrix_m_xyx_0hh_miss = pod.matrices_dict["m_xyx"] + pod._translation_0hh #106
_matrix_m_xxz_0hh_miss = pod.matrices_dict["m_xxz"] + pod._translation_0hh #107
_matrix_m_xyy_0hh_miss = pod.matrices_dict["m_xyy"] + pod._translation_0hh #108
_matrix_2_x00_0hh_miss = pod.matrices_dict["2_x00"] + pod._translation_0hh #109
_matrix_2_0y0_0hh_miss = pod.matrices_dict["2_0y0"] + pod._translation_0hh #110
_matrix_2_00z_0hh_miss = pod.matrices_dict["2_00z"] + pod._translation_0hh #111
_matrix_2_xx0_0hh_miss = pod.matrices_dict["2_xx0"] + pod._translation_0hh #112
_matrix_2_x0x_0hh_miss = pod.matrices_dict["2_x0x"] + pod._translation_0hh #113
_matrix_2_0yy_0hh_miss = pod.matrices_dict["2_0yy"] + pod._translation_0hh #114
_matrix_2_xmx0_0hh_miss = pod.matrices_dict["2_xmx0"] + pod._translation_0hh #115
_matrix_2_mx0x_0hh_miss = pod.matrices_dict["2_mx0x"] + pod._translation_0hh #116
_matrix_2_0myy_0hh_miss = pod.matrices_dict["2_0myy"] + pod._translation_0hh #117
_matrix_3_xxx_0hh_miss = pod.matrices_dict["3_xxx"] + pod._translation_0hh #118
_matrix_3_xmxmx_0hh_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_0hh #119
_matrix_3_mxxmx_0hh_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_0hh #120
_matrix_3_mxmxx_0hh_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_0hh #121
_matrix_m3_xxx_0hh_miss = pod.matrices_dict["m3_xxx"] + pod._translation_0hh #122
_matrix_m3_xmxmx_0hh_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_0hh #123
_matrix_m3_mxxmx_0hh_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_0hh #124
_matrix_m3_mxmxx_0hh_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_0hh #125
_matrix_4_x00_0hh_miss = pod.matrices_dict["4_x00"] + pod._translation_0hh #126
_matrix_4_0y0_0hh_miss = pod.matrices_dict["4_0y0"] + pod._translation_0hh #127
_matrix_4_00z_0hh_miss = pod.matrices_dict["4_00z"] + pod._translation_0hh #128
_matrix_m4_x00_0hh_miss = pod.matrices_dict["-4_x00"] + pod._translation_0hh #129
_matrix_m4_0y0_0hh_miss = pod.matrices_dict["-4_0y0"] + pod._translation_0hh #130
_matrix_m4_00z_0hh_miss = pod.matrices_dict["-4_00z"] + pod._translation_0hh #131
_matrix_inv_000_h0h_miss = pod.matrices_dict["inv_000"] + pod._translation_h0h #132
_matrix_m_0yz_h0h_miss = pod.matrices_dict["m_0yz"] + pod._translation_h0h #133
_matrix_m_x0z_h0h_miss = pod.matrices_dict["m_x0z"] + pod._translation_h0h #134
_matrix_m_xy0_h0h_miss = pod.matrices_dict["m_xy0"] + pod._translation_h0h #135
_matrix_m_xmxz_h0h_miss = pod.matrices_dict["m_xmxz"] + pod._translation_h0h #136
_matrix_m_xymy_h0h_miss = pod.matrices_dict["m_xymy"] + pod._translation_h0h #137
_matrix_m_xymx_h0h_miss = pod.matrices_dict["m_xymx"] + pod._translation_h0h #138
_matrix_m_xyx_h0h_miss = pod.matrices_dict["m_xyx"] + pod._translation_h0h #139
_matrix_m_xxz_h0h_miss = pod.matrices_dict["m_xxz"] + pod._translation_h0h #140
_matrix_m_xyy_h0h_miss = pod.matrices_dict["m_xyy"] + pod._translation_h0h #141
_matrix_2_x00_h0h_miss = pod.matrices_dict["2_x00"] + pod._translation_h0h #142
_matrix_2_0y0_h0h_miss = pod.matrices_dict["2_0y0"] + pod._translation_h0h #143
_matrix_2_00z_h0h_miss = pod.matrices_dict["2_00z"] + pod._translation_h0h #144
_matrix_2_xx0_h0h_miss = pod.matrices_dict["2_xx0"] + pod._translation_h0h #145
_matrix_2_x0x_h0h_miss = pod.matrices_dict["2_x0x"] + pod._translation_h0h #146
_matrix_2_0yy_h0h_miss = pod.matrices_dict["2_0yy"] + pod._translation_h0h #147
_matrix_2_xmx0_h0h_miss = pod.matrices_dict["2_xmx0"] + pod._translation_h0h #148
_matrix_2_mx0x_h0h_miss = pod.matrices_dict["2_mx0x"] + pod._translation_h0h #149
_matrix_2_0myy_h0h_miss = pod.matrices_dict["2_0myy"] + pod._translation_h0h #150
_matrix_3_xxx_h0h_miss = pod.matrices_dict["3_xxx"] + pod._translation_h0h #151
_matrix_3_xmxmx_h0h_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_h0h #152
_matrix_3_mxxmx_h0h_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_h0h #153
_matrix_3_mxmxx_h0h_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_h0h #154
_matrix_m3_xxx_h0h_miss = pod.matrices_dict["m3_xxx"] + pod._translation_h0h #155
_matrix_m3_xmxmx_h0h_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_h0h #156
_matrix_m3_mxxmx_h0h_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_h0h #157
_matrix_m3_mxmxx_h0h_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_h0h #158
_matrix_4_x00_h0h_miss = pod.matrices_dict["4_x00"] + pod._translation_h0h #159
_matrix_4_0y0_h0h_miss = pod.matrices_dict["4_0y0"] + pod._translation_h0h #160
_matrix_4_00z_h0h_miss = pod.matrices_dict["4_00z"] + pod._translation_h0h #161
_matrix_m4_x00_h0h_miss = pod.matrices_dict["-4_x00"] + pod._translation_h0h #162
_matrix_m4_0y0_h0h_miss = pod.matrices_dict["-4_0y0"] + pod._translation_h0h #163
_matrix_m4_00z_h0h_miss = pod.matrices_dict["-4_00z"] + pod._translation_h0h #164
_matrix_inv_000_hh0_miss = pod.matrices_dict["inv_000"] + pod._translation_hh0 #165
_matrix_m_0yz_hh0_miss = pod.matrices_dict["m_0yz"] + pod._translation_hh0 #166
_matrix_m_x0z_hh0_miss = pod.matrices_dict["m_x0z"] + pod._translation_hh0 #167
_matrix_m_xy0_hh0_miss = pod.matrices_dict["m_xy0"] + pod._translation_hh0 #168
_matrix_m_xmxz_hh0_miss = pod.matrices_dict["m_xmxz"] + pod._translation_hh0 #169
_matrix_m_xymy_hh0_miss = pod.matrices_dict["m_xymy"] + pod._translation_hh0 #170
_matrix_m_xymx_hh0_miss = pod.matrices_dict["m_xymx"] + pod._translation_hh0 #171
_matrix_m_xyx_hh0_miss = pod.matrices_dict["m_xyx"] + pod._translation_hh0 #172
_matrix_m_xxz_hh0_miss = pod.matrices_dict["m_xxz"] + pod._translation_hh0 #173
_matrix_m_xyy_hh0_miss = pod.matrices_dict["m_xyy"] + pod._translation_hh0 #174
_matrix_2_x00_hh0_miss = pod.matrices_dict["2_x00"] + pod._translation_hh0 #175
_matrix_2_0y0_hh0_miss = pod.matrices_dict["2_0y0"] + pod._translation_hh0 #176
_matrix_2_00z_hh0_miss = pod.matrices_dict["2_00z"] + pod._translation_hh0 #177
_matrix_2_xx0_hh0_miss = pod.matrices_dict["2_xx0"] + pod._translation_hh0 #178
_matrix_2_x0x_hh0_miss = pod.matrices_dict["2_x0x"] + pod._translation_hh0 #179
_matrix_2_0yy_hh0_miss = pod.matrices_dict["2_0yy"] + pod._translation_hh0 #180
_matrix_2_xmx0_hh0_miss = pod.matrices_dict["2_xmx0"] + pod._translation_hh0 #181
_matrix_2_mx0x_hh0_miss = pod.matrices_dict["2_mx0x"] + pod._translation_hh0 #182
_matrix_2_0myy_hh0_miss = pod.matrices_dict["2_0myy"] + pod._translation_hh0 #183
_matrix_3_xxx_hh0_miss = pod.matrices_dict["3_xxx"] + pod._translation_hh0 #184
_matrix_3_xmxmx_hh0_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_hh0 #185
_matrix_3_mxxmx_hh0_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_hh0 #186
_matrix_3_mxmxx_hh0_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_hh0 #187
_matrix_m3_xxx_hh0_miss = pod.matrices_dict["m3_xxx"] + pod._translation_hh0 #188
_matrix_m3_xmxmx_hh0_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_hh0 #189
_matrix_m3_mxxmx_hh0_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_hh0 #190
_matrix_m3_mxmxx_hh0_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_hh0 #191
_matrix_4_x00_hh0_miss = pod.matrices_dict["4_x00"] + pod._translation_hh0 #192
_matrix_4_0y0_hh0_miss = pod.matrices_dict["4_0y0"] + pod._translation_hh0 #193
_matrix_4_00z_hh0_miss = pod.matrices_dict["4_00z"] + pod._translation_hh0 #194
_matrix_m4_x00_hh0_miss = pod.matrices_dict["-4_x00"] + pod._translation_hh0 #195
_matrix_m4_0y0_hh0_miss = pod.matrices_dict["-4_0y0"] + pod._translation_hh0 #196
_matrix_m4_00z_hh0_miss = pod.matrices_dict["-4_00z"] + pod._translation_hh0 #197
_matrix_inv_000_hhh_miss = pod.matrices_dict["inv_000"] + pod._translation_hhh #198
_matrix_m_0yz_hhh_miss = pod.matrices_dict["m_0yz"] + pod._translation_hhh #199
_matrix_m_x0z_hhh_miss = pod.matrices_dict["m_x0z"] + pod._translation_hhh #200
_matrix_m_xy0_hhh_miss = pod.matrices_dict["m_xy0"] + pod._translation_hhh #201
_matrix_m_xmxz_hhh_miss = pod.matrices_dict["m_xmxz"] + pod._translation_hhh #202
_matrix_m_xymy_hhh_miss = pod.matrices_dict["m_xymy"] + pod._translation_hhh #203
_matrix_m_xymx_hhh_miss = pod.matrices_dict["m_xymx"] + pod._translation_hhh #204
_matrix_m_xyx_hhh_miss = pod.matrices_dict["m_xyx"] + pod._translation_hhh #205
_matrix_m_xxz_hhh_miss = pod.matrices_dict["m_xxz"] + pod._translation_hhh #206
_matrix_m_xyy_hhh_miss = pod.matrices_dict["m_xyy"] + pod._translation_hhh #207
_matrix_2_x00_hhh_miss = pod.matrices_dict["2_x00"] + pod._translation_hhh #208
_matrix_2_0y0_hhh_miss = pod.matrices_dict["2_0y0"] + pod._translation_hhh #209
_matrix_2_00z_hhh_miss = pod.matrices_dict["2_00z"] + pod._translation_hhh #210
_matrix_2_xx0_hhh_miss = pod.matrices_dict["2_xx0"] + pod._translation_hhh #211
_matrix_2_x0x_hhh_miss = pod.matrices_dict["2_x0x"] + pod._translation_hhh #212
_matrix_2_0yy_hhh_miss = pod.matrices_dict["2_0yy"] + pod._translation_hhh #213
_matrix_2_xmx0_hhh_miss = pod.matrices_dict["2_xmx0"] + pod._translation_hhh #214
_matrix_2_mx0x_hhh_miss = pod.matrices_dict["2_mx0x"] + pod._translation_hhh #215
_matrix_2_0myy_hhh_miss = pod.matrices_dict["2_0myy"] + pod._translation_hhh #216
_matrix_3_xxx_hhh_miss = pod.matrices_dict["3_xxx"] + pod._translation_hhh #217
_matrix_3_xmxmx_hhh_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_hhh #218
_matrix_3_mxxmx_hhh_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_hhh #219
_matrix_3_mxmxx_hhh_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_hhh #220
_matrix_m3_xxx_hhh_miss = pod.matrices_dict["m3_xxx"] + pod._translation_hhh #221
_matrix_m3_xmxmx_hhh_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_hhh #222
_matrix_m3_mxxmx_hhh_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_hhh #223
_matrix_m3_mxmxx_hhh_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_hhh #224
_matrix_4_x00_hhh_miss = pod.matrices_dict["4_x00"] + pod._translation_hhh #225
_matrix_4_0y0_hhh_miss = pod.matrices_dict["4_0y0"] + pod._translation_hhh #226
_matrix_4_00z_hhh_miss = pod.matrices_dict["4_00z"] + pod._translation_hhh #227
_matrix_m4_x00_hhh_miss = pod.matrices_dict["-4_x00"] + pod._translation_hhh #228
_matrix_m4_0y0_hhh_miss = pod.matrices_dict["-4_0y0"] + pod._translation_hhh #229
_matrix_m4_00z_hhh_miss = pod.matrices_dict["-4_00z"] + pod._translation_hhh #230
_matrix_inv_000_qqq_miss = pod.matrices_dict["inv_000"] + pod._translation_qqq #231
_matrix_m_0yz_qqq_miss = pod.matrices_dict["m_0yz"] + pod._translation_qqq #232
_matrix_m_x0z_qqq_miss = pod.matrices_dict["m_x0z"] + pod._translation_qqq #233
_matrix_m_xy0_qqq_miss = pod.matrices_dict["m_xy0"] + pod._translation_qqq #234
_matrix_m_xmxz_qqq_miss = pod.matrices_dict["m_xmxz"] + pod._translation_qqq #235
_matrix_m_xymy_qqq_miss = pod.matrices_dict["m_xymy"] + pod._translation_qqq #236
_matrix_m_xymx_qqq_miss = pod.matrices_dict["m_xymx"] + pod._translation_qqq #237
_matrix_m_xyx_qqq_miss = pod.matrices_dict["m_xyx"] + pod._translation_qqq #238
_matrix_m_xxz_qqq_miss = pod.matrices_dict["m_xxz"] + pod._translation_qqq #239
_matrix_m_xyy_qqq_miss = pod.matrices_dict["m_xyy"] + pod._translation_qqq #240
_matrix_2_x00_qqq_miss = pod.matrices_dict["2_x00"] + pod._translation_qqq #241
_matrix_2_0y0_qqq_miss = pod.matrices_dict["2_0y0"] + pod._translation_qqq #242
_matrix_2_00z_qqq_miss = pod.matrices_dict["2_00z"] + pod._translation_qqq #243
_matrix_2_xx0_qqq_miss = pod.matrices_dict["2_xx0"] + pod._translation_qqq #244
_matrix_2_x0x_qqq_miss = pod.matrices_dict["2_x0x"] + pod._translation_qqq #245
_matrix_2_0yy_qqq_miss = pod.matrices_dict["2_0yy"] + pod._translation_qqq #246
_matrix_2_xmx0_qqq_miss = pod.matrices_dict["2_xmx0"] + pod._translation_qqq #247
_matrix_2_mx0x_qqq_miss = pod.matrices_dict["2_mx0x"] + pod._translation_qqq #248
_matrix_2_0myy_qqq_miss = pod.matrices_dict["2_0myy"] + pod._translation_qqq #249
_matrix_3_xxx_qqq_miss = pod.matrices_dict["3_xxx"] + pod._translation_qqq #250
_matrix_3_xmxmx_qqq_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_qqq #251
_matrix_3_mxxmx_qqq_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_qqq #252
_matrix_3_mxmxx_qqq_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_qqq #253
_matrix_m3_xxx_qqq_miss = pod.matrices_dict["m3_xxx"] + pod._translation_qqq #254
_matrix_m3_xmxmx_qqq_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_qqq #255
_matrix_m3_mxxmx_qqq_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_qqq #256
_matrix_m3_mxmxx_qqq_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_qqq #257
_matrix_4_x00_qqq_miss = pod.matrices_dict["4_x00"] + pod._translation_qqq #258
_matrix_4_0y0_qqq_miss = pod.matrices_dict["4_0y0"] + pod._translation_qqq #259
_matrix_4_00z_qqq_miss = pod.matrices_dict["4_00z"] + pod._translation_qqq #260
_matrix_m4_x00_qqq_miss = pod.matrices_dict["-4_x00"] + pod._translation_qqq #261
_matrix_m4_0y0_qqq_miss = pod.matrices_dict["-4_0y0"] + pod._translation_qqq #262
_matrix_m4_00z_qqq_miss = pod.matrices_dict["-4_00z"] + pod._translation_qqq #263
_matrix_inv_000_3qqq_miss = pod.matrices_dict["inv_000"] + pod._translation_h00 + pod._translation_qqq #264
_matrix_m_0yz_3qqq_miss = pod.matrices_dict["m_0yz"] + pod._translation_h00 + pod._translation_qqq #265
_matrix_m_x0z_3qqq_miss = pod.matrices_dict["m_x0z"] + pod._translation_h00 + pod._translation_qqq #266
_matrix_m_xy0_3qqq_miss = pod.matrices_dict["m_xy0"] + pod._translation_h00 + pod._translation_qqq #267
_matrix_m_xmxz_3qqq_miss = pod.matrices_dict["m_xmxz"] + pod._translation_h00 + pod._translation_qqq #268
_matrix_m_xymy_3qqq_miss = pod.matrices_dict["m_xymy"] + pod._translation_h00 + pod._translation_qqq #269
_matrix_m_xymx_3qqq_miss = pod.matrices_dict["m_xymx"] + pod._translation_h00 + pod._translation_qqq #270
_matrix_m_xyx_3qqq_miss = pod.matrices_dict["m_xyx"] + pod._translation_h00 + pod._translation_qqq #271
_matrix_m_xxz_3qqq_miss = pod.matrices_dict["m_xxz"] + pod._translation_h00 + pod._translation_qqq #272
_matrix_m_xyy_3qqq_miss = pod.matrices_dict["m_xyy"] + pod._translation_h00 + pod._translation_qqq #273
_matrix_2_x00_3qqq_miss = pod.matrices_dict["2_x00"] + pod._translation_h00 + pod._translation_qqq #274
_matrix_2_0y0_3qqq_miss = pod.matrices_dict["2_0y0"] + pod._translation_h00 + pod._translation_qqq #275
_matrix_2_00z_3qqq_miss = pod.matrices_dict["2_00z"] + pod._translation_h00 + pod._translation_qqq #276
_matrix_2_xx0_3qqq_miss = pod.matrices_dict["2_xx0"] + pod._translation_h00 + pod._translation_qqq #277
_matrix_2_x0x_3qqq_miss = pod.matrices_dict["2_x0x"] + pod._translation_h00 + pod._translation_qqq #278
_matrix_2_0yy_3qqq_miss = pod.matrices_dict["2_0yy"] + pod._translation_h00 + pod._translation_qqq #279
_matrix_2_xmx0_3qqq_miss = pod.matrices_dict["2_xmx0"] + pod._translation_h00 + pod._translation_qqq #280
_matrix_2_mx0x_3qqq_miss = pod.matrices_dict["2_mx0x"] + pod._translation_h00 + pod._translation_qqq #281
_matrix_2_0myy_3qqq_miss = pod.matrices_dict["2_0myy"] + pod._translation_h00 + pod._translation_qqq #282
_matrix_3_xxx_3qqq_miss = pod.matrices_dict["3_xxx"] + pod._translation_h00 + pod._translation_qqq #283
_matrix_3_xmxmx_3qqq_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_h00 + pod._translation_qqq #284
_matrix_3_mxxmx_3qqq_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_h00 + pod._translation_qqq #285
_matrix_3_mxmxx_3qqq_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_h00 + pod._translation_qqq #286
_matrix_m3_xxx_3qqq_miss = pod.matrices_dict["m3_xxx"] + pod._translation_h00 + pod._translation_qqq #287
_matrix_m3_xmxmx_3qqq_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_h00 + pod._translation_qqq #288
_matrix_m3_mxxmx_3qqq_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_h00 + pod._translation_qqq #289
_matrix_m3_mxmxx_3qqq_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_h00 + pod._translation_qqq #290
_matrix_4_x00_3qqq_miss = pod.matrices_dict["4_x00"] + pod._translation_h00 + pod._translation_qqq #291
_matrix_4_0y0_3qqq_miss = pod.matrices_dict["4_0y0"] + pod._translation_h00 + pod._translation_qqq #292
_matrix_4_00z_3qqq_miss = pod.matrices_dict["4_00z"] + pod._translation_h00 + pod._translation_qqq #293
_matrix_m4_x00_3qqq_miss = pod.matrices_dict["-4_x00"] + pod._translation_h00 + pod._translation_qqq #294
_matrix_m4_0y0_3qqq_miss = pod.matrices_dict["-4_0y0"] + pod._translation_h00 + pod._translation_qqq #295
_matrix_m4_00z_3qqq_miss = pod.matrices_dict["-4_00z"] + pod._translation_h00 + pod._translation_qqq #296
_matrix_inv_000_q3qq_miss = pod.matrices_dict["inv_000"] + pod._translation_0h0 + pod._translation_qqq #297
_matrix_m_0yz_q3qq_miss = pod.matrices_dict["m_0yz"] + pod._translation_0h0 + pod._translation_qqq #298
_matrix_m_x0z_q3qq_miss = pod.matrices_dict["m_x0z"] + pod._translation_0h0 + pod._translation_qqq #299
_matrix_m_xy0_q3qq_miss = pod.matrices_dict["m_xy0"] + pod._translation_0h0 + pod._translation_qqq #300
_matrix_m_xmxz_q3qq_miss = pod.matrices_dict["m_xmxz"] + pod._translation_0h0 + pod._translation_qqq #301
_matrix_m_xymy_q3qq_miss = pod.matrices_dict["m_xymy"] + pod._translation_0h0 + pod._translation_qqq #302
_matrix_m_xymx_q3qq_miss = pod.matrices_dict["m_xymx"] + pod._translation_0h0 + pod._translation_qqq #303
_matrix_m_xyx_q3qq_miss = pod.matrices_dict["m_xyx"] + pod._translation_0h0 + pod._translation_qqq #304
_matrix_m_xxz_q3qq_miss = pod.matrices_dict["m_xxz"] + pod._translation_0h0 + pod._translation_qqq #305
_matrix_m_xyy_q3qq_miss = pod.matrices_dict["m_xyy"] + pod._translation_0h0 + pod._translation_qqq #306
_matrix_2_x00_q3qq_miss = pod.matrices_dict["2_x00"] + pod._translation_0h0 + pod._translation_qqq #307
_matrix_2_0y0_q3qq_miss = pod.matrices_dict["2_0y0"] + pod._translation_0h0 + pod._translation_qqq #308
_matrix_2_00z_q3qq_miss = pod.matrices_dict["2_00z"] + pod._translation_0h0 + pod._translation_qqq #309
_matrix_2_xx0_q3qq_miss = pod.matrices_dict["2_xx0"] + pod._translation_0h0 + pod._translation_qqq #310
_matrix_2_x0x_q3qq_miss = pod.matrices_dict["2_x0x"] + pod._translation_0h0 + pod._translation_qqq #311
_matrix_2_0yy_q3qq_miss = pod.matrices_dict["2_0yy"] + pod._translation_0h0 + pod._translation_qqq #312
_matrix_2_xmx0_q3qq_miss = pod.matrices_dict["2_xmx0"] + pod._translation_0h0 + pod._translation_qqq #313
_matrix_2_mx0x_q3qq_miss = pod.matrices_dict["2_mx0x"] + pod._translation_0h0 + pod._translation_qqq #314
_matrix_2_0myy_q3qq_miss = pod.matrices_dict["2_0myy"] + pod._translation_0h0 + pod._translation_qqq #315
_matrix_3_xxx_q3qq_miss = pod.matrices_dict["3_xxx"] + pod._translation_0h0 + pod._translation_qqq #316
_matrix_3_xmxmx_q3qq_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_0h0 + pod._translation_qqq #317
_matrix_3_mxxmx_q3qq_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_0h0 + pod._translation_qqq #318
_matrix_3_mxmxx_q3qq_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_0h0 + pod._translation_qqq #319
_matrix_m3_xxx_q3qq_miss = pod.matrices_dict["m3_xxx"] + pod._translation_0h0 + pod._translation_qqq #320
_matrix_m3_xmxmx_q3qq_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_0h0 + pod._translation_qqq #321
_matrix_m3_mxxmx_q3qq_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_0h0 + pod._translation_qqq #322
_matrix_m3_mxmxx_q3qq_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_0h0 + pod._translation_qqq #323
_matrix_4_x00_q3qq_miss = pod.matrices_dict["4_x00"] + pod._translation_0h0 + pod._translation_qqq #324
_matrix_4_0y0_q3qq_miss = pod.matrices_dict["4_0y0"] + pod._translation_0h0 + pod._translation_qqq #325
_matrix_4_00z_q3qq_miss = pod.matrices_dict["4_00z"] + pod._translation_0h0 + pod._translation_qqq #326
_matrix_m4_x00_q3qq_miss = pod.matrices_dict["-4_x00"] + pod._translation_0h0 + pod._translation_qqq #327
_matrix_m4_0y0_q3qq_miss = pod.matrices_dict["-4_0y0"] + pod._translation_0h0 + pod._translation_qqq #328
_matrix_m4_00z_q3qq_miss = pod.matrices_dict["-4_00z"] + pod._translation_0h0 + pod._translation_qqq #329
_matrix_inv_000_qq3q_miss = pod.matrices_dict["inv_000"] + pod._translation_00h + pod._translation_qqq #330
_matrix_m_0yz_qq3q_miss = pod.matrices_dict["m_0yz"] + pod._translation_00h + pod._translation_qqq #331
_matrix_m_x0z_qq3q_miss = pod.matrices_dict["m_x0z"] + pod._translation_00h + pod._translation_qqq #332
_matrix_m_xy0_qq3q_miss = pod.matrices_dict["m_xy0"] + pod._translation_00h + pod._translation_qqq #333
_matrix_m_xmxz_qq3q_miss = pod.matrices_dict["m_xmxz"] + pod._translation_00h + pod._translation_qqq #334
_matrix_m_xymy_qq3q_miss = pod.matrices_dict["m_xymy"] + pod._translation_00h + pod._translation_qqq #335
_matrix_m_xymx_qq3q_miss = pod.matrices_dict["m_xymx"] + pod._translation_00h + pod._translation_qqq #336
_matrix_m_xyx_qq3q_miss = pod.matrices_dict["m_xyx"] + pod._translation_00h + pod._translation_qqq #337
_matrix_m_xxz_qq3q_miss = pod.matrices_dict["m_xxz"] + pod._translation_00h + pod._translation_qqq #338
_matrix_m_xyy_qq3q_miss = pod.matrices_dict["m_xyy"] + pod._translation_00h + pod._translation_qqq #339
_matrix_2_x00_qq3q_miss = pod.matrices_dict["2_x00"] + pod._translation_00h + pod._translation_qqq #340
_matrix_2_0y0_qq3q_miss = pod.matrices_dict["2_0y0"] + pod._translation_00h + pod._translation_qqq #341
_matrix_2_00z_qq3q_miss = pod.matrices_dict["2_00z"] + pod._translation_00h + pod._translation_qqq #342
_matrix_2_xx0_qq3q_miss = pod.matrices_dict["2_xx0"] + pod._translation_00h + pod._translation_qqq #343
_matrix_2_x0x_qq3q_miss = pod.matrices_dict["2_x0x"] + pod._translation_00h + pod._translation_qqq #344
_matrix_2_0yy_qq3q_miss = pod.matrices_dict["2_0yy"] + pod._translation_00h + pod._translation_qqq #345
_matrix_2_xmx0_qq3q_miss = pod.matrices_dict["2_xmx0"] + pod._translation_00h + pod._translation_qqq #346
_matrix_2_mx0x_qq3q_miss = pod.matrices_dict["2_mx0x"] + pod._translation_00h + pod._translation_qqq #347
_matrix_2_0myy_qq3q_miss = pod.matrices_dict["2_0myy"] + pod._translation_00h + pod._translation_qqq #348
_matrix_3_xxx_qq3q_miss = pod.matrices_dict["3_xxx"] + pod._translation_00h + pod._translation_qqq #349
_matrix_3_xmxmx_qq3q_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_00h + pod._translation_qqq #350
_matrix_3_mxxmx_qq3q_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_00h + pod._translation_qqq #351
_matrix_3_mxmxx_qq3q_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_00h + pod._translation_qqq #352
_matrix_m3_xxx_qq3q_miss = pod.matrices_dict["m3_xxx"] + pod._translation_00h + pod._translation_qqq #353
_matrix_m3_xmxmx_qq3q_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_00h + pod._translation_qqq #354
_matrix_m3_mxxmx_qq3q_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_00h + pod._translation_qqq #355
_matrix_m3_mxmxx_qq3q_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_00h + pod._translation_qqq #356
_matrix_4_x00_qq3q_miss = pod.matrices_dict["4_x00"] + pod._translation_00h + pod._translation_qqq #357
_matrix_4_0y0_qq3q_miss = pod.matrices_dict["4_0y0"] + pod._translation_00h + pod._translation_qqq #358
_matrix_4_00z_qq3q_miss = pod.matrices_dict["4_00z"] + pod._translation_00h + pod._translation_qqq #359
_matrix_m4_x00_qq3q_miss = pod.matrices_dict["-4_x00"] + pod._translation_00h + pod._translation_qqq #360
_matrix_m4_0y0_qq3q_miss = pod.matrices_dict["-4_0y0"] + pod._translation_00h + pod._translation_qqq #361
_matrix_m4_00z_qq3q_miss = pod.matrices_dict["-4_00z"] + pod._translation_00h + pod._translation_qqq #362
_matrix_inv_000_q3q3q_miss = pod.matrices_dict["inv_000"] + pod._translation_0hh + pod._translation_qqq #363
_matrix_m_0yz_q3q3q_miss = pod.matrices_dict["m_0yz"] + pod._translation_0hh + pod._translation_qqq #364
_matrix_m_x0z_q3q3q_miss = pod.matrices_dict["m_x0z"] + pod._translation_0hh + pod._translation_qqq #365
_matrix_m_xy0_q3q3q_miss = pod.matrices_dict["m_xy0"] + pod._translation_0hh + pod._translation_qqq #366
_matrix_m_xmxz_q3q3q_miss = pod.matrices_dict["m_xmxz"] + pod._translation_0hh + pod._translation_qqq #367
_matrix_m_xymy_q3q3q_miss = pod.matrices_dict["m_xymy"] + pod._translation_0hh + pod._translation_qqq #368
_matrix_m_xymx_q3q3q_miss = pod.matrices_dict["m_xymx"] + pod._translation_0hh + pod._translation_qqq #369
_matrix_m_xyx_q3q3q_miss = pod.matrices_dict["m_xyx"] + pod._translation_0hh + pod._translation_qqq #370
_matrix_m_xxz_q3q3q_miss = pod.matrices_dict["m_xxz"] + pod._translation_0hh + pod._translation_qqq #371
_matrix_m_xyy_q3q3q_miss = pod.matrices_dict["m_xyy"] + pod._translation_0hh + pod._translation_qqq #372
_matrix_2_x00_q3q3q_miss = pod.matrices_dict["2_x00"] + pod._translation_0hh + pod._translation_qqq #373
_matrix_2_0y0_q3q3q_miss = pod.matrices_dict["2_0y0"] + pod._translation_0hh + pod._translation_qqq #374
_matrix_2_00z_q3q3q_miss = pod.matrices_dict["2_00z"] + pod._translation_0hh + pod._translation_qqq #375
_matrix_2_xx0_q3q3q_miss = pod.matrices_dict["2_xx0"] + pod._translation_0hh + pod._translation_qqq #376
_matrix_2_x0x_q3q3q_miss = pod.matrices_dict["2_x0x"] + pod._translation_0hh + pod._translation_qqq #377
_matrix_2_0yy_q3q3q_miss = pod.matrices_dict["2_0yy"] + pod._translation_0hh + pod._translation_qqq #378
_matrix_2_xmx0_q3q3q_miss = pod.matrices_dict["2_xmx0"] + pod._translation_0hh + pod._translation_qqq #379
_matrix_2_mx0x_q3q3q_miss = pod.matrices_dict["2_mx0x"] + pod._translation_0hh + pod._translation_qqq #380
_matrix_2_0myy_q3q3q_miss = pod.matrices_dict["2_0myy"] + pod._translation_0hh + pod._translation_qqq #381
_matrix_3_xxx_q3q3q_miss = pod.matrices_dict["3_xxx"] + pod._translation_0hh + pod._translation_qqq #382
_matrix_3_xmxmx_q3q3q_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_0hh + pod._translation_qqq #383
_matrix_3_mxxmx_q3q3q_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_0hh + pod._translation_qqq #384
_matrix_3_mxmxx_q3q3q_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_0hh + pod._translation_qqq #385
_matrix_m3_xxx_q3q3q_miss = pod.matrices_dict["m3_xxx"] + pod._translation_0hh + pod._translation_qqq #386
_matrix_m3_xmxmx_q3q3q_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_0hh + pod._translation_qqq #387
_matrix_m3_mxxmx_q3q3q_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_0hh + pod._translation_qqq #388
_matrix_m3_mxmxx_q3q3q_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_0hh + pod._translation_qqq #389
_matrix_4_x00_q3q3q_miss = pod.matrices_dict["4_x00"] + pod._translation_0hh + pod._translation_qqq #390
_matrix_4_0y0_q3q3q_miss = pod.matrices_dict["4_0y0"] + pod._translation_0hh + pod._translation_qqq #391
_matrix_4_00z_q3q3q_miss = pod.matrices_dict["4_00z"] + pod._translation_0hh + pod._translation_qqq #392
_matrix_m4_x00_q3q3q_miss = pod.matrices_dict["-4_x00"] + pod._translation_0hh + pod._translation_qqq #393
_matrix_m4_0y0_q3q3q_miss = pod.matrices_dict["-4_0y0"] + pod._translation_0hh + pod._translation_qqq #394
_matrix_m4_00z_q3q3q_miss = pod.matrices_dict["-4_00z"] + pod._translation_0hh + pod._translation_qqq #395
_matrix_inv_000_3qq3q_miss = pod.matrices_dict["inv_000"] + pod._translation_h0h + pod._translation_qqq #396
_matrix_m_0yz_3qq3q_miss = pod.matrices_dict["m_0yz"] + pod._translation_h0h + pod._translation_qqq #397
_matrix_m_x0z_3qq3q_miss = pod.matrices_dict["m_x0z"] + pod._translation_h0h + pod._translation_qqq #398
_matrix_m_xy0_3qq3q_miss = pod.matrices_dict["m_xy0"] + pod._translation_h0h + pod._translation_qqq #399
_matrix_m_xmxz_3qq3q_miss = pod.matrices_dict["m_xmxz"] + pod._translation_h0h + pod._translation_qqq #400
_matrix_m_xymy_3qq3q_miss = pod.matrices_dict["m_xymy"] + pod._translation_h0h + pod._translation_qqq #401
_matrix_m_xymx_3qq3q_miss = pod.matrices_dict["m_xymx"] + pod._translation_h0h + pod._translation_qqq #402
_matrix_m_xyx_3qq3q_miss = pod.matrices_dict["m_xyx"] + pod._translation_h0h + pod._translation_qqq #403
_matrix_m_xxz_3qq3q_miss = pod.matrices_dict["m_xxz"] + pod._translation_h0h + pod._translation_qqq #404
_matrix_m_xyy_3qq3q_miss = pod.matrices_dict["m_xyy"] + pod._translation_h0h + pod._translation_qqq #405
_matrix_2_x00_3qq3q_miss = pod.matrices_dict["2_x00"] + pod._translation_h0h + pod._translation_qqq #406
_matrix_2_0y0_3qq3q_miss = pod.matrices_dict["2_0y0"] + pod._translation_h0h + pod._translation_qqq #407
_matrix_2_00z_3qq3q_miss = pod.matrices_dict["2_00z"] + pod._translation_h0h + pod._translation_qqq #408
_matrix_2_xx0_3qq3q_miss = pod.matrices_dict["2_xx0"] + pod._translation_h0h + pod._translation_qqq #409
_matrix_2_x0x_3qq3q_miss = pod.matrices_dict["2_x0x"] + pod._translation_h0h + pod._translation_qqq #410
_matrix_2_0yy_3qq3q_miss = pod.matrices_dict["2_0yy"] + pod._translation_h0h + pod._translation_qqq #411
_matrix_2_xmx0_3qq3q_miss = pod.matrices_dict["2_xmx0"] + pod._translation_h0h + pod._translation_qqq #412
_matrix_2_mx0x_3qq3q_miss = pod.matrices_dict["2_mx0x"] + pod._translation_h0h + pod._translation_qqq #413
_matrix_2_0myy_3qq3q_miss = pod.matrices_dict["2_0myy"] + pod._translation_h0h + pod._translation_qqq #414
_matrix_3_xxx_3qq3q_miss = pod.matrices_dict["3_xxx"] + pod._translation_h0h + pod._translation_qqq #415
_matrix_3_xmxmx_3qq3q_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_h0h + pod._translation_qqq #416
_matrix_3_mxxmx_3qq3q_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_h0h + pod._translation_qqq #417
_matrix_3_mxmxx_3qq3q_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_h0h + pod._translation_qqq #418
_matrix_m3_xxx_3qq3q_miss = pod.matrices_dict["m3_xxx"] + pod._translation_h0h + pod._translation_qqq #419
_matrix_m3_xmxmx_3qq3q_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_h0h + pod._translation_qqq #420
_matrix_m3_mxxmx_3qq3q_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_h0h + pod._translation_qqq #421
_matrix_m3_mxmxx_3qq3q_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_h0h + pod._translation_qqq #422
_matrix_4_x00_3qq3q_miss = pod.matrices_dict["4_x00"] + pod._translation_h0h + pod._translation_qqq #423
_matrix_4_0y0_3qq3q_miss = pod.matrices_dict["4_0y0"] + pod._translation_h0h + pod._translation_qqq #424
_matrix_4_00z_3qq3q_miss = pod.matrices_dict["4_00z"] + pod._translation_h0h + pod._translation_qqq #425
_matrix_m4_x00_3qq3q_miss = pod.matrices_dict["-4_x00"] + pod._translation_h0h + pod._translation_qqq #426
_matrix_m4_0y0_3qq3q_miss = pod.matrices_dict["-4_0y0"] + pod._translation_h0h + pod._translation_qqq #427
_matrix_m4_00z_3qq3q_miss = pod.matrices_dict["-4_00z"] + pod._translation_h0h + pod._translation_qqq #428
_matrix_inv_000_3q3qq_miss = pod.matrices_dict["inv_000"] + pod._translation_hh0 + pod._translation_qqq #429
_matrix_m_0yz_3q3qq_miss = pod.matrices_dict["m_0yz"] + pod._translation_hh0 + pod._translation_qqq #430
_matrix_m_x0z_3q3qq_miss = pod.matrices_dict["m_x0z"] + pod._translation_hh0 + pod._translation_qqq #431
_matrix_m_xy0_3q3qq_miss = pod.matrices_dict["m_xy0"] + pod._translation_hh0 + pod._translation_qqq #432
_matrix_m_xmxz_3q3qq_miss = pod.matrices_dict["m_xmxz"] + pod._translation_hh0 + pod._translation_qqq #433
_matrix_m_xymy_3q3qq_miss = pod.matrices_dict["m_xymy"] + pod._translation_hh0 + pod._translation_qqq #434
_matrix_m_xymx_3q3qq_miss = pod.matrices_dict["m_xymx"] + pod._translation_hh0 + pod._translation_qqq #435
_matrix_m_xyx_3q3qq_miss = pod.matrices_dict["m_xyx"] + pod._translation_hh0 + pod._translation_qqq #436
_matrix_m_xxz_3q3qq_miss = pod.matrices_dict["m_xxz"] + pod._translation_hh0 + pod._translation_qqq #437
_matrix_m_xyy_3q3qq_miss = pod.matrices_dict["m_xyy"] + pod._translation_hh0 + pod._translation_qqq #438
_matrix_2_x00_3q3qq_miss = pod.matrices_dict["2_x00"] + pod._translation_hh0 + pod._translation_qqq #439
_matrix_2_0y0_3q3qq_miss = pod.matrices_dict["2_0y0"] + pod._translation_hh0 + pod._translation_qqq #440
_matrix_2_00z_3q3qq_miss = pod.matrices_dict["2_00z"] + pod._translation_hh0 + pod._translation_qqq #441
_matrix_2_xx0_3q3qq_miss = pod.matrices_dict["2_xx0"] + pod._translation_hh0 + pod._translation_qqq #442
_matrix_2_x0x_3q3qq_miss = pod.matrices_dict["2_x0x"] + pod._translation_hh0 + pod._translation_qqq #443
_matrix_2_0yy_3q3qq_miss = pod.matrices_dict["2_0yy"] + pod._translation_hh0 + pod._translation_qqq #444
_matrix_2_xmx0_3q3qq_miss = pod.matrices_dict["2_xmx0"] + pod._translation_hh0 + pod._translation_qqq #445
_matrix_2_mx0x_3q3qq_miss = pod.matrices_dict["2_mx0x"] + pod._translation_hh0 + pod._translation_qqq #446
_matrix_2_0myy_3q3qq_miss = pod.matrices_dict["2_0myy"] + pod._translation_hh0 + pod._translation_qqq #447
_matrix_3_xxx_3q3qq_miss = pod.matrices_dict["3_xxx"] + pod._translation_hh0 + pod._translation_qqq #448
_matrix_3_xmxmx_3q3qq_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_hh0 + pod._translation_qqq #449
_matrix_3_mxxmx_3q3qq_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_hh0 + pod._translation_qqq #450
_matrix_3_mxmxx_3q3qq_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_hh0 + pod._translation_qqq #451
_matrix_m3_xxx_3q3qq_miss = pod.matrices_dict["m3_xxx"] + pod._translation_hh0 + pod._translation_qqq #452
_matrix_m3_xmxmx_3q3qq_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_hh0 + pod._translation_qqq #453
_matrix_m3_mxxmx_3q3qq_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_hh0 + pod._translation_qqq #454
_matrix_m3_mxmxx_3q3qq_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_hh0 + pod._translation_qqq #455
_matrix_4_x00_3q3qq_miss = pod.matrices_dict["4_x00"] + pod._translation_hh0 + pod._translation_qqq #456
_matrix_4_0y0_3q3qq_miss = pod.matrices_dict["4_0y0"] + pod._translation_hh0 + pod._translation_qqq #457
_matrix_4_00z_3q3qq_miss = pod.matrices_dict["4_00z"] + pod._translation_hh0 + pod._translation_qqq #458
_matrix_m4_x00_3q3qq_miss = pod.matrices_dict["-4_x00"] + pod._translation_hh0 + pod._translation_qqq #459
_matrix_m4_0y0_3q3qq_miss = pod.matrices_dict["-4_0y0"] + pod._translation_hh0 + pod._translation_qqq #460
_matrix_m4_00z_3q3qq_miss = pod.matrices_dict["-4_00z"] + pod._translation_hh0 + pod._translation_qqq #461
_matrix_inv_000_3q3q3q_miss = pod.matrices_dict["inv_000"] + pod._translation_hhh + pod._translation_qqq #462
_matrix_m_0yz_3q3q3q_miss = pod.matrices_dict["m_0yz"] + pod._translation_hhh + pod._translation_qqq #463
_matrix_m_x0z_3q3q3q_miss = pod.matrices_dict["m_x0z"] + pod._translation_hhh + pod._translation_qqq #464
_matrix_m_xy0_3q3q3q_miss = pod.matrices_dict["m_xy0"] + pod._translation_hhh + pod._translation_qqq #465
_matrix_m_xmxz_3q3q3q_miss = pod.matrices_dict["m_xmxz"] + pod._translation_hhh + pod._translation_qqq #466
_matrix_m_xymy_3q3q3q_miss = pod.matrices_dict["m_xymy"] + pod._translation_hhh + pod._translation_qqq #467
_matrix_m_xymx_3q3q3q_miss = pod.matrices_dict["m_xymx"] + pod._translation_hhh + pod._translation_qqq #468
_matrix_m_xyx_3q3q3q_miss = pod.matrices_dict["m_xyx"] + pod._translation_hhh + pod._translation_qqq #469
_matrix_m_xxz_3q3q3q_miss = pod.matrices_dict["m_xxz"] + pod._translation_hhh + pod._translation_qqq #470
_matrix_m_xyy_3q3q3q_miss = pod.matrices_dict["m_xyy"] + pod._translation_hhh + pod._translation_qqq #471
_matrix_2_x00_3q3q3q_miss = pod.matrices_dict["2_x00"] + pod._translation_hhh + pod._translation_qqq #472
_matrix_2_0y0_3q3q3q_miss = pod.matrices_dict["2_0y0"] + pod._translation_hhh + pod._translation_qqq #473
_matrix_2_00z_3q3q3q_miss = pod.matrices_dict["2_00z"] + pod._translation_hhh + pod._translation_qqq #474
_matrix_2_xx0_3q3q3q_miss = pod.matrices_dict["2_xx0"] + pod._translation_hhh + pod._translation_qqq #475
_matrix_2_x0x_3q3q3q_miss = pod.matrices_dict["2_x0x"] + pod._translation_hhh + pod._translation_qqq #476
_matrix_2_0yy_3q3q3q_miss = pod.matrices_dict["2_0yy"] + pod._translation_hhh + pod._translation_qqq #477
_matrix_2_xmx0_3q3q3q_miss = pod.matrices_dict["2_xmx0"] + pod._translation_hhh + pod._translation_qqq #478
_matrix_2_mx0x_3q3q3q_miss = pod.matrices_dict["2_mx0x"] + pod._translation_hhh + pod._translation_qqq #479
_matrix_2_0myy_3q3q3q_miss = pod.matrices_dict["2_0myy"] + pod._translation_hhh + pod._translation_qqq #480
_matrix_3_xxx_3q3q3q_miss = pod.matrices_dict["3_xxx"] + pod._translation_hhh + pod._translation_qqq #481
_matrix_3_xmxmx_3q3q3q_miss = pod.matrices_dict["3_xmxmx"] + pod._translation_hhh + pod._translation_qqq #482
_matrix_3_mxxmx_3q3q3q_miss = pod.matrices_dict["3_mxxmx"] + pod._translation_hhh + pod._translation_qqq #483
_matrix_3_mxmxx_3q3q3q_miss = pod.matrices_dict["3_mxmxx"] + pod._translation_hhh + pod._translation_qqq #484
_matrix_m3_xxx_3q3q3q_miss = pod.matrices_dict["m3_xxx"] + pod._translation_hhh + pod._translation_qqq #485
_matrix_m3_xmxmx_3q3q3q_miss = pod.matrices_dict["m3_xmxmx"] + pod._translation_hhh + pod._translation_qqq #486
_matrix_m3_mxxmx_3q3q3q_miss = pod.matrices_dict["m3_mxxmx"] + pod._translation_hhh + pod._translation_qqq #487
_matrix_m3_mxmxx_3q3q3q_miss = pod.matrices_dict["m3_mxmxx"] + pod._translation_hhh + pod._translation_qqq #488
_matrix_4_x00_3q3q3q_miss = pod.matrices_dict["4_x00"] + pod._translation_hhh + pod._translation_qqq #489
_matrix_4_0y0_3q3q3q_miss = pod.matrices_dict["4_0y0"] + pod._translation_hhh + pod._translation_qqq #490
_matrix_4_00z_3q3q3q_miss = pod.matrices_dict["4_00z"] + pod._translation_hhh + pod._translation_qqq #491
_matrix_m4_x00_3q3q3q_miss = pod.matrices_dict["-4_x00"] + pod._translation_hhh + pod._translation_qqq #492
_matrix_m4_0y0_3q3q3q_miss = pod.matrices_dict["-4_0y0"] + pod._translation_hhh + pod._translation_qqq #493
_matrix_m4_00z_3q3q3q_miss = pod.matrices_dict["-4_00z"] + pod._translation_hhh + pod._translation_qqq #494
all_missing_matrices = [
_matrix_inv_000_h00_miss,
_matrix_m_0yz_h00_miss,
_matrix_m_x0z_h00_miss,
_matrix_m_xy0_h00_miss,
_matrix_m_xmxz_h00_miss,
_matrix_m_xymy_h00_miss,
_matrix_m_xymx_h00_miss,
_matrix_m_xyx_h00_miss,
_matrix_m_xxz_h00_miss,
_matrix_m_xyy_h00_miss,
_matrix_2_x00_h00_miss,
_matrix_2_0y0_h00_miss,
_matrix_2_00z_h00_miss,
_matrix_2_xx0_h00_miss,
_matrix_2_x0x_h00_miss,
_matrix_2_0yy_h00_miss,
_matrix_2_xmx0_h00_miss,
_matrix_2_mx0x_h00_miss,
_matrix_2_0myy_h00_miss,
_matrix_3_xxx_h00_miss,
_matrix_3_xmxmx_h00_miss,
_matrix_3_mxxmx_h00_miss,
_matrix_3_mxmxx_h00_miss,
_matrix_m3_xxx_h00_miss,
_matrix_m3_xmxmx_h00_miss,
_matrix_m3_mxxmx_h00_miss,
_matrix_m3_mxmxx_h00_miss,
_matrix_4_x00_h00_miss,
_matrix_4_0y0_h00_miss,
_matrix_4_00z_h00_miss,
_matrix_m4_x00_h00_miss,
_matrix_m4_0y0_h00_miss,
_matrix_m4_00z_h00_miss,
_matrix_inv_000_0h0_miss,
_matrix_m_0yz_0h0_miss,
_matrix_m_x0z_0h0_miss,
_matrix_m_xy0_0h0_miss,
_matrix_m_xmxz_0h0_miss,
_matrix_m_xymy_0h0_miss,
_matrix_m_xymx_0h0_miss,
_matrix_m_xyx_0h0_miss,
_matrix_m_xxz_0h0_miss,
_matrix_m_xyy_0h0_miss,
_matrix_2_x00_0h0_miss,
_matrix_2_0y0_0h0_miss,
_matrix_2_00z_0h0_miss,
_matrix_2_xx0_0h0_miss,
_matrix_2_x0x_0h0_miss,
_matrix_2_0yy_0h0_miss,
_matrix_2_xmx0_0h0_miss,
_matrix_2_mx0x_0h0_miss,
_matrix_2_0myy_0h0_miss,
_matrix_3_xxx_0h0_miss,
_matrix_3_xmxmx_0h0_miss,
_matrix_3_mxxmx_0h0_miss,
_matrix_3_mxmxx_0h0_miss,
_matrix_m3_xxx_0h0_miss,
_matrix_m3_xmxmx_0h0_miss,
_matrix_m3_mxxmx_0h0_miss,
_matrix_m3_mxmxx_0h0_miss,
_matrix_4_x00_0h0_miss,
_matrix_4_0y0_0h0_miss,
_matrix_4_00z_0h0_miss,
_matrix_m4_x00_0h0_miss,
_matrix_m4_0y0_0h0_miss,
_matrix_m4_00z_0h0_miss,
_matrix_inv_000_00h_miss,
_matrix_m_0yz_00h_miss,
_matrix_m_x0z_00h_miss,
_matrix_m_xy0_00h_miss,
_matrix_m_xmxz_00h_miss,
_matrix_m_xymy_00h_miss,
_matrix_m_xymx_00h_miss,
_matrix_m_xyx_00h_miss,
_matrix_m_xxz_00h_miss,
_matrix_m_xyy_00h_miss,
_matrix_2_x00_00h_miss,
_matrix_2_0y0_00h_miss,
_matrix_2_00z_00h_miss,
_matrix_2_xx0_00h_miss,
_matrix_2_x0x_00h_miss,
_matrix_2_0yy_00h_miss,
_matrix_2_xmx0_00h_miss,
_matrix_2_mx0x_00h_miss,
_matrix_2_0myy_00h_miss,
_matrix_3_xxx_00h_miss,
_matrix_3_xmxmx_00h_miss,
_matrix_3_mxxmx_00h_miss,
_matrix_3_mxmxx_00h_miss,
_matrix_m3_xxx_00h_miss,
_matrix_m3_xmxmx_00h_miss,
_matrix_m3_mxxmx_00h_miss,
_matrix_m3_mxmxx_00h_miss,
_matrix_4_x00_00h_miss,
_matrix_4_0y0_00h_miss,
_matrix_4_00z_00h_miss,
_matrix_m4_x00_00h_miss,
_matrix_m4_0y0_00h_miss,
_matrix_m4_00z_00h_miss,
_matrix_inv_000_0hh_miss,
_matrix_m_0yz_0hh_miss,
_matrix_m_x0z_0hh_miss,
_matrix_m_xy0_0hh_miss,
_matrix_m_xmxz_0hh_miss,
_matrix_m_xymy_0hh_miss,
_matrix_m_xymx_0hh_miss,
_matrix_m_xyx_0hh_miss,
_matrix_m_xxz_0hh_miss,
_matrix_m_xyy_0hh_miss,
_matrix_2_x00_0hh_miss,
_matrix_2_0y0_0hh_miss,
_matrix_2_00z_0hh_miss,
_matrix_2_xx0_0hh_miss,
_matrix_2_x0x_0hh_miss,
_matrix_2_0yy_0hh_miss,
_matrix_2_xmx0_0hh_miss,
_matrix_2_mx0x_0hh_miss,
_matrix_2_0myy_0hh_miss,
_matrix_3_xxx_0hh_miss,
_matrix_3_xmxmx_0hh_miss,
_matrix_3_mxxmx_0hh_miss,
_matrix_3_mxmxx_0hh_miss,
_matrix_m3_xxx_0hh_miss,
_matrix_m3_xmxmx_0hh_miss,
_matrix_m3_mxxmx_0hh_miss,
_matrix_m3_mxmxx_0hh_miss,
_matrix_4_x00_0hh_miss,
_matrix_4_0y0_0hh_miss,
_matrix_4_00z_0hh_miss,
_matrix_m4_x00_0hh_miss,
_matrix_m4_0y0_0hh_miss,
_matrix_m4_00z_0hh_miss,
_matrix_inv_000_h0h_miss,
_matrix_m_0yz_h0h_miss,
_matrix_m_x0z_h0h_miss,
_matrix_m_xy0_h0h_miss,
_matrix_m_xmxz_h0h_miss,
_matrix_m_xymy_h0h_miss,
_matrix_m_xymx_h0h_miss,
_matrix_m_xyx_h0h_miss,
_matrix_m_xxz_h0h_miss,
_matrix_m_xyy_h0h_miss,
_matrix_2_x00_h0h_miss,
_matrix_2_0y0_h0h_miss,
_matrix_2_00z_h0h_miss,
_matrix_2_xx0_h0h_miss,
_matrix_2_x0x_h0h_miss,
_matrix_2_0yy_h0h_miss,
_matrix_2_xmx0_h0h_miss,
_matrix_2_mx0x_h0h_miss,
_matrix_2_0myy_h0h_miss,
_matrix_3_xxx_h0h_miss,
_matrix_3_xmxmx_h0h_miss,
_matrix_3_mxxmx_h0h_miss,
_matrix_3_mxmxx_h0h_miss,
_matrix_m3_xxx_h0h_miss,
_matrix_m3_xmxmx_h0h_miss,
_matrix_m3_mxxmx_h0h_miss,
_matrix_m3_mxmxx_h0h_miss,
_matrix_4_x00_h0h_miss,
_matrix_4_0y0_h0h_miss,
_matrix_4_00z_h0h_miss,
_matrix_m4_x00_h0h_miss,
_matrix_m4_0y0_h0h_miss,
_matrix_m4_00z_h0h_miss,
_matrix_inv_000_hh0_miss,
_matrix_m_0yz_hh0_miss,
_matrix_m_x0z_hh0_miss,
_matrix_m_xy0_hh0_miss,
_matrix_m_xmxz_hh0_miss,
_matrix_m_xymy_hh0_miss,
_matrix_m_xymx_hh0_miss,
_matrix_m_xyx_hh0_miss,
_matrix_m_xxz_hh0_miss,
_matrix_m_xyy_hh0_miss,
_matrix_2_x00_hh0_miss,
_matrix_2_0y0_hh0_miss,
_matrix_2_00z_hh0_miss,
_matrix_2_xx0_hh0_miss,
_matrix_2_x0x_hh0_miss,
_matrix_2_0yy_hh0_miss,
_matrix_2_xmx0_hh0_miss,
_matrix_2_mx0x_hh0_miss,
_matrix_2_0myy_hh0_miss,
_matrix_3_xxx_hh0_miss,
_matrix_3_xmxmx_hh0_miss,
_matrix_3_mxxmx_hh0_miss,
_matrix_3_mxmxx_hh0_miss,
_matrix_m3_xxx_hh0_miss,
_matrix_m3_xmxmx_hh0_miss,
_matrix_m3_mxxmx_hh0_miss,
_matrix_m3_mxmxx_hh0_miss,
_matrix_4_x00_hh0_miss,
_matrix_4_0y0_hh0_miss,
_matrix_4_00z_hh0_miss,
_matrix_m4_x00_hh0_miss,
_matrix_m4_0y0_hh0_miss,
_matrix_m4_00z_hh0_miss,
_matrix_inv_000_hhh_miss,
_matrix_m_0yz_hhh_miss,
_matrix_m_x0z_hhh_miss,
_matrix_m_xy0_hhh_miss,
_matrix_m_xmxz_hhh_miss,
_matrix_m_xymy_hhh_miss,
_matrix_m_xymx_hhh_miss,
_matrix_m_xyx_hhh_miss,
_matrix_m_xxz_hhh_miss,
_matrix_m_xyy_hhh_miss,
_matrix_2_x00_hhh_miss,
_matrix_2_0y0_hhh_miss,
_matrix_2_00z_hhh_miss,
_matrix_2_xx0_hhh_miss,
_matrix_2_x0x_hhh_miss,
_matrix_2_0yy_hhh_miss,
_matrix_2_xmx0_hhh_miss,
_matrix_2_mx0x_hhh_miss,
_matrix_2_0myy_hhh_miss,
_matrix_3_xxx_hhh_miss,
_matrix_3_xmxmx_hhh_miss,
_matrix_3_mxxmx_hhh_miss,
_matrix_3_mxmxx_hhh_miss,
_matrix_m3_xxx_hhh_miss,
_matrix_m3_xmxmx_hhh_miss,
_matrix_m3_mxxmx_hhh_miss,
_matrix_m3_mxmxx_hhh_miss,
_matrix_4_x00_hhh_miss,
_matrix_4_0y0_hhh_miss,
_matrix_4_00z_hhh_miss,
_matrix_m4_x00_hhh_miss,
_matrix_m4_0y0_hhh_miss,
_matrix_m4_00z_hhh_miss,
_matrix_inv_000_qqq_miss,
_matrix_m_0yz_qqq_miss,
_matrix_m_x0z_qqq_miss,
_matrix_m_xy0_qqq_miss,
_matrix_m_xmxz_qqq_miss,
_matrix_m_xymy_qqq_miss,
_matrix_m_xymx_qqq_miss,
_matrix_m_xyx_qqq_miss,
_matrix_m_xxz_qqq_miss,
_matrix_m_xyy_qqq_miss,
_matrix_2_x00_qqq_miss,
_matrix_2_0y0_qqq_miss,
_matrix_2_00z_qqq_miss,
_matrix_2_xx0_qqq_miss,
_matrix_2_x0x_qqq_miss,
_matrix_2_0yy_qqq_miss,
_matrix_2_xmx0_qqq_miss,
_matrix_2_mx0x_qqq_miss,
_matrix_2_0myy_qqq_miss,
_matrix_3_xxx_qqq_miss,
_matrix_3_xmxmx_qqq_miss,
_matrix_3_mxxmx_qqq_miss,
_matrix_3_mxmxx_qqq_miss,
_matrix_m3_xxx_qqq_miss,
_matrix_m3_xmxmx_qqq_miss,
_matrix_m3_mxxmx_qqq_miss,
_matrix_m3_mxmxx_qqq_miss,
_matrix_4_x00_qqq_miss,
_matrix_4_0y0_qqq_miss,
_matrix_4_00z_qqq_miss,
_matrix_m4_x00_qqq_miss,
_matrix_m4_0y0_qqq_miss,
_matrix_m4_00z_qqq_miss,
_matrix_inv_000_3qqq_miss,
_matrix_m_0yz_3qqq_miss,
_matrix_m_x0z_3qqq_miss,
_matrix_m_xy0_3qqq_miss,
_matrix_m_xmxz_3qqq_miss,
_matrix_m_xymy_3qqq_miss,
_matrix_m_xymx_3qqq_miss,
_matrix_m_xyx_3qqq_miss,
_matrix_m_xxz_3qqq_miss,
_matrix_m_xyy_3qqq_miss,
_matrix_2_x00_3qqq_miss,
_matrix_2_0y0_3qqq_miss,
_matrix_2_00z_3qqq_miss,
_matrix_2_xx0_3qqq_miss,
_matrix_2_x0x_3qqq_miss,
_matrix_2_0yy_3qqq_miss,
_matrix_2_xmx0_3qqq_miss,
_matrix_2_mx0x_3qqq_miss,
_matrix_2_0myy_3qqq_miss,
_matrix_3_xxx_3qqq_miss,
_matrix_3_xmxmx_3qqq_miss,
_matrix_3_mxxmx_3qqq_miss,
_matrix_3_mxmxx_3qqq_miss,
_matrix_m3_xxx_3qqq_miss,
_matrix_m3_xmxmx_3qqq_miss,
_matrix_m3_mxxmx_3qqq_miss,
_matrix_m3_mxmxx_3qqq_miss,
_matrix_4_x00_3qqq_miss,
_matrix_4_0y0_3qqq_miss,
_matrix_4_00z_3qqq_miss,
_matrix_m4_x00_3qqq_miss,
_matrix_m4_0y0_3qqq_miss,
_matrix_m4_00z_3qqq_miss,
_matrix_inv_000_q3qq_miss,
_matrix_m_0yz_q3qq_miss,
_matrix_m_x0z_q3qq_miss,
_matrix_m_xy0_q3qq_miss,
_matrix_m_xmxz_q3qq_miss,
_matrix_m_xymy_q3qq_miss,
_matrix_m_xymx_q3qq_miss,
_matrix_m_xyx_q3qq_miss,
_matrix_m_xxz_q3qq_miss,
_matrix_m_xyy_q3qq_miss,
_matrix_2_x00_q3qq_miss,
_matrix_2_0y0_q3qq_miss,
_matrix_2_00z_q3qq_miss,
_matrix_2_xx0_q3qq_miss,
_matrix_2_x0x_q3qq_miss,
_matrix_2_0yy_q3qq_miss,
_matrix_2_xmx0_q3qq_miss,
_matrix_2_mx0x_q3qq_miss,
_matrix_2_0myy_q3qq_miss,
_matrix_3_xxx_q3qq_miss,
_matrix_3_xmxmx_q3qq_miss,
_matrix_3_mxxmx_q3qq_miss,
_matrix_3_mxmxx_q3qq_miss,
_matrix_m3_xxx_q3qq_miss,
_matrix_m3_xmxmx_q3qq_miss,
_matrix_m3_mxxmx_q3qq_miss,
_matrix_m3_mxmxx_q3qq_miss,
_matrix_4_x00_q3qq_miss,
_matrix_4_0y0_q3qq_miss,
_matrix_4_00z_q3qq_miss,
_matrix_m4_x00_q3qq_miss,
_matrix_m4_0y0_q3qq_miss,
_matrix_m4_00z_q3qq_miss,
_matrix_inv_000_qq3q_miss,
_matrix_m_0yz_qq3q_miss,
_matrix_m_x0z_qq3q_miss,
_matrix_m_xy0_qq3q_miss,
_matrix_m_xmxz_qq3q_miss,
_matrix_m_xymy_qq3q_miss,
_matrix_m_xymx_qq3q_miss,
_matrix_m_xyx_qq3q_miss,
_matrix_m_xxz_qq3q_miss,
_matrix_m_xyy_qq3q_miss,
_matrix_2_x00_qq3q_miss,
_matrix_2_0y0_qq3q_miss,
_matrix_2_00z_qq3q_miss,
_matrix_2_xx0_qq3q_miss,
_matrix_2_x0x_qq3q_miss,
_matrix_2_0yy_qq3q_miss,
_matrix_2_xmx0_qq3q_miss,
_matrix_2_mx0x_qq3q_miss,
_matrix_2_0myy_qq3q_miss,
_matrix_3_xxx_qq3q_miss,
_matrix_3_xmxmx_qq3q_miss,
_matrix_3_mxxmx_qq3q_miss,
_matrix_3_mxmxx_qq3q_miss,
_matrix_m3_xxx_qq3q_miss,
_matrix_m3_xmxmx_qq3q_miss,
_matrix_m3_mxxmx_qq3q_miss,
_matrix_m3_mxmxx_qq3q_miss,
_matrix_4_x00_qq3q_miss,
_matrix_4_0y0_qq3q_miss,
_matrix_4_00z_qq3q_miss,
_matrix_m4_x00_qq3q_miss,
_matrix_m4_0y0_qq3q_miss,
_matrix_m4_00z_qq3q_miss,
_matrix_inv_000_q3q3q_miss,
_matrix_m_0yz_q3q3q_miss,
_matrix_m_x0z_q3q3q_miss,
_matrix_m_xy0_q3q3q_miss,
_matrix_m_xmxz_q3q3q_miss,
_matrix_m_xymy_q3q3q_miss,
_matrix_m_xymx_q3q3q_miss,
_matrix_m_xyx_q3q3q_miss,
_matrix_m_xxz_q3q3q_miss,
_matrix_m_xyy_q3q3q_miss,
_matrix_2_x00_q3q3q_miss,
_matrix_2_0y0_q3q3q_miss,
_matrix_2_00z_q3q3q_miss,
_matrix_2_xx0_q3q3q_miss,
_matrix_2_x0x_q3q3q_miss,
_matrix_2_0yy_q3q3q_miss,
_matrix_2_xmx0_q3q3q_miss,
_matrix_2_mx0x_q3q3q_miss,
_matrix_2_0myy_q3q3q_miss,
_matrix_3_xxx_q3q3q_miss,
_matrix_3_xmxmx_q3q3q_miss,
_matrix_3_mxxmx_q3q3q_miss,
_matrix_3_mxmxx_q3q3q_miss,
_matrix_m3_xxx_q3q3q_miss,
_matrix_m3_xmxmx_q3q3q_miss,
_matrix_m3_mxxmx_q3q3q_miss,
_matrix_m3_mxmxx_q3q3q_miss,
_matrix_4_x00_q3q3q_miss,
_matrix_4_0y0_q3q3q_miss,
_matrix_4_00z_q3q3q_miss,
_matrix_m4_x00_q3q3q_miss,
_matrix_m4_0y0_q3q3q_miss,
_matrix_m4_00z_q3q3q_miss,
_matrix_inv_000_3qq3q_miss,
_matrix_m_0yz_3qq3q_miss,
_matrix_m_x0z_3qq3q_miss,
_matrix_m_xy0_3qq3q_miss,
_matrix_m_xmxz_3qq3q_miss,
_matrix_m_xymy_3qq3q_miss,
_matrix_m_xymx_3qq3q_miss,
_matrix_m_xyx_3qq3q_miss,
_matrix_m_xxz_3qq3q_miss,
_matrix_m_xyy_3qq3q_miss,
_matrix_2_x00_3qq3q_miss,
_matrix_2_0y0_3qq3q_miss,
_matrix_2_00z_3qq3q_miss,
_matrix_2_xx0_3qq3q_miss,
_matrix_2_x0x_3qq3q_miss,
_matrix_2_0yy_3qq3q_miss,
_matrix_2_xmx0_3qq3q_miss,
_matrix_2_mx0x_3qq3q_miss,
_matrix_2_0myy_3qq3q_miss,
_matrix_3_xxx_3qq3q_miss,
_matrix_3_xmxmx_3qq3q_miss,
_matrix_3_mxxmx_3qq3q_miss,
_matrix_3_mxmxx_3qq3q_miss,
_matrix_m3_xxx_3qq3q_miss,
_matrix_m3_xmxmx_3qq3q_miss,
_matrix_m3_mxxmx_3qq3q_miss,
_matrix_m3_mxmxx_3qq3q_miss,
_matrix_4_x00_3qq3q_miss,
_matrix_4_0y0_3qq3q_miss,
_matrix_4_00z_3qq3q_miss,
_matrix_m4_x00_3qq3q_miss,
_matrix_m4_0y0_3qq3q_miss,
_matrix_m4_00z_3qq3q_miss,
_matrix_inv_000_3q3qq_miss,
_matrix_m_0yz_3q3qq_miss,
_matrix_m_x0z_3q3qq_miss,
_matrix_m_xy0_3q3qq_miss,
_matrix_m_xmxz_3q3qq_miss,
_matrix_m_xymy_3q3qq_miss,
_matrix_m_xymx_3q3qq_miss,
_matrix_m_xyx_3q3qq_miss,
_matrix_m_xxz_3q3qq_miss,
_matrix_m_xyy_3q3qq_miss,
_matrix_2_x00_3q3qq_miss,
_matrix_2_0y0_3q3qq_miss,
_matrix_2_00z_3q3qq_miss,
_matrix_2_xx0_3q3qq_miss,
_matrix_2_x0x_3q3qq_miss,
_matrix_2_0yy_3q3qq_miss,
_matrix_2_xmx0_3q3qq_miss,
_matrix_2_mx0x_3q3qq_miss,
_matrix_2_0myy_3q3qq_miss,
_matrix_3_xxx_3q3qq_miss,
_matrix_3_xmxmx_3q3qq_miss,
_matrix_3_mxxmx_3q3qq_miss,
_matrix_3_mxmxx_3q3qq_miss,
_matrix_m3_xxx_3q3qq_miss,
_matrix_m3_xmxmx_3q3qq_miss,
_matrix_m3_mxxmx_3q3qq_miss,
_matrix_m3_mxmxx_3q3qq_miss,
_matrix_4_x00_3q3qq_miss,
_matrix_4_0y0_3q3qq_miss,
_matrix_4_00z_3q3qq_miss,
_matrix_m4_x00_3q3qq_miss,
_matrix_m4_0y0_3q3qq_miss,
_matrix_m4_00z_3q3qq_miss,
_matrix_inv_000_3q3q3q_miss,
_matrix_m_0yz_3q3q3q_miss,
_matrix_m_x0z_3q3q3q_miss,
_matrix_m_xy0_3q3q3q_miss,
_matrix_m_xmxz_3q3q3q_miss,
_matrix_m_xymy_3q3q3q_miss,
_matrix_m_xymx_3q3q3q_miss,
_matrix_m_xyx_3q3q3q_miss,
_matrix_m_xxz_3q3q3q_miss,
_matrix_m_xyy_3q3q3q_miss,
_matrix_2_x00_3q3q3q_miss,
_matrix_2_0y0_3q3q3q_miss,
_matrix_2_00z_3q3q3q_miss,
_matrix_2_xx0_3q3q3q_miss,
_matrix_2_x0x_3q3q3q_miss,
_matrix_2_0yy_3q3q3q_miss,
_matrix_2_xmx0_3q3q3q_miss,
_matrix_2_mx0x_3q3q3q_miss,
_matrix_2_0myy_3q3q3q_miss,
_matrix_3_xxx_3q3q3q_miss,
_matrix_3_xmxmx_3q3q3q_miss,
_matrix_3_mxxmx_3q3q3q_miss,
_matrix_3_mxmxx_3q3q3q_miss,
_matrix_m3_xxx_3q3q3q_miss,
_matrix_m3_xmxmx_3q3q3q_miss,
_matrix_m3_mxxmx_3q3q3q_miss,
_matrix_m3_mxmxx_3q3q3q_miss,
_matrix_4_x00_3q3q3q_miss,
_matrix_4_0y0_3q3q3q_miss,
_matrix_4_00z_3q3q3q_miss,
_matrix_m4_x00_3q3q3q_miss,
_matrix_m4_0y0_3q3q3q_miss,
_matrix_m4_00z_3q3q3q_miss,
]
all_missing_matrices_labels = [
"miss_inv_000_h00_miss",
"miss_m_0yz_h00_miss",
"miss_m_x0z_h00_miss",
"miss_m_xy0_h00_miss",
"miss_m_xmxz_h00_miss",
"miss_m_xymy_h00_miss",
"miss_m_xymx_h00_miss",
"miss_m_xyx_h00_miss",
"miss_m_xxz_h00_miss",
"miss_m_xyy_h00_miss",
"miss_2_x00_h00_miss",
"miss_2_0y0_h00_miss",
"miss_2_00z_h00_miss",
"miss_2_xx0_h00_miss",
"miss_2_x0x_h00_miss",
"miss_2_0yy_h00_miss",
"miss_2_xmx0_h00_miss",
"miss_2_mx0x_h00_miss",
"miss_2_0myy_h00_miss",
"miss_3_xxx_h00_miss",
"miss_3_xmxmx_h00_miss",
"miss_3_mxxmx_h00_miss",
"miss_3_mxmxx_h00_miss",
"miss_m3_xxx_h00_miss",
"miss_m3_xmxmx_h00_miss",
"miss_m3_mxxmx_h00_miss",
"miss_m3_mxmxx_h00_miss",
"miss_4_x00_h00_miss",
"miss_4_0y0_h00_miss",
"miss_4_00z_h00_miss",
"miss_m4_x00_h00_miss",
"miss_m4_0y0_h00_miss",
"miss_m4_00z_h00_miss",
"miss_inv_000_0h0_miss",
"miss_m_0yz_0h0_miss",
"miss_m_x0z_0h0_miss",
"miss_m_xy0_0h0_miss",
"miss_m_xmxz_0h0_miss",
"miss_m_xymy_0h0_miss",
"miss_m_xymx_0h0_miss",
"miss_m_xyx_0h0_miss",
"miss_m_xxz_0h0_miss",
"miss_m_xyy_0h0_miss",
"miss_2_x00_0h0_miss",
"miss_2_0y0_0h0_miss",
"miss_2_00z_0h0_miss",
"miss_2_xx0_0h0_miss",
"miss_2_x0x_0h0_miss",
"miss_2_0yy_0h0_miss",
"miss_2_xmx0_0h0_miss",
"miss_2_mx0x_0h0_miss",
"miss_2_0myy_0h0_miss",
"miss_3_xxx_0h0_miss",
"miss_3_xmxmx_0h0_miss",
"miss_3_mxxmx_0h0_miss",
"miss_3_mxmxx_0h0_miss",
"miss_m3_xxx_0h0_miss",
"miss_m3_xmxmx_0h0_miss",
"miss_m3_mxxmx_0h0_miss",
"miss_m3_mxmxx_0h0_miss",
"miss_4_x00_0h0_miss",
"miss_4_0y0_0h0_miss",
"miss_4_00z_0h0_miss",
"miss_m4_x00_0h0_miss",
"miss_m4_0y0_0h0_miss",
"miss_m4_00z_0h0_miss",
"miss_inv_000_00h_miss",
"miss_m_0yz_00h_miss",
"miss_m_x0z_00h_miss",
"miss_m_xy0_00h_miss",
"miss_m_xmxz_00h_miss",
"miss_m_xymy_00h_miss",
"miss_m_xymx_00h_miss",
"miss_m_xyx_00h_miss",
"miss_m_xxz_00h_miss",
"miss_m_xyy_00h_miss",
"miss_2_x00_00h_miss",
"miss_2_0y0_00h_miss",
"miss_2_00z_00h_miss",
"miss_2_xx0_00h_miss",
"miss_2_x0x_00h_miss",
"miss_2_0yy_00h_miss",
"miss_2_xmx0_00h_miss",
"miss_2_mx0x_00h_miss",
"miss_2_0myy_00h_miss",
"miss_3_xxx_00h_miss",
"miss_3_xmxmx_00h_miss",
"miss_3_mxxmx_00h_miss",
"miss_3_mxmxx_00h_miss",
"miss_m3_xxx_00h_miss",
"miss_m3_xmxmx_00h_miss",
"miss_m3_mxxmx_00h_miss",
"miss_m3_mxmxx_00h_miss",
"miss_4_x00_00h_miss",
"miss_4_0y0_00h_miss",
"miss_4_00z_00h_miss",
"miss_m4_x00_00h_miss",
"miss_m4_0y0_00h_miss",
"miss_m4_00z_00h_miss",
"miss_inv_000_0hh_miss",
"miss_m_0yz_0hh_miss",
"miss_m_x0z_0hh_miss",
"miss_m_xy0_0hh_miss",
"miss_m_xmxz_0hh_miss",
"miss_m_xymy_0hh_miss",
"miss_m_xymx_0hh_miss",
"miss_m_xyx_0hh_miss",
"miss_m_xxz_0hh_miss",
"miss_m_xyy_0hh_miss",
"miss_2_x00_0hh_miss",
"miss_2_0y0_0hh_miss",
"miss_2_00z_0hh_miss",
"miss_2_xx0_0hh_miss",
"miss_2_x0x_0hh_miss",
"miss_2_0yy_0hh_miss",
"miss_2_xmx0_0hh_miss",
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"miss_2_0myy_0hh_miss",
"miss_3_xxx_0hh_miss",
"miss_3_xmxmx_0hh_miss",
"miss_3_mxxmx_0hh_miss",
"miss_3_mxmxx_0hh_miss",
"miss_m3_xxx_0hh_miss",
"miss_m3_xmxmx_0hh_miss",
"miss_m3_mxxmx_0hh_miss",
"miss_m3_mxmxx_0hh_miss",
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"miss_m_xmxz_h0h_miss",
"miss_m_xymy_h0h_miss",
"miss_m_xymx_h0h_miss",
"miss_m_xyx_h0h_miss",
"miss_m_xxz_h0h_miss",
"miss_m_xyy_h0h_miss",
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"miss_2_0y0_h0h_miss",
"miss_2_00z_h0h_miss",
"miss_2_xx0_h0h_miss",
"miss_2_x0x_h0h_miss",
"miss_2_0yy_h0h_miss",
"miss_2_xmx0_h0h_miss",
"miss_2_mx0x_h0h_miss",
"miss_2_0myy_h0h_miss",
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"miss_3_xmxmx_h0h_miss",
"miss_3_mxxmx_h0h_miss",
"miss_3_mxmxx_h0h_miss",
"miss_m3_xxx_h0h_miss",
"miss_m3_xmxmx_h0h_miss",
"miss_m3_mxxmx_h0h_miss",
"miss_m3_mxmxx_h0h_miss",
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"miss_inv_000_hh0_miss",
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"miss_m_xy0_hh0_miss",
"miss_m_xmxz_hh0_miss",
"miss_m_xymy_hh0_miss",
"miss_m_xymx_hh0_miss",
"miss_m_xyx_hh0_miss",
"miss_m_xxz_hh0_miss",
"miss_m_xyy_hh0_miss",
"miss_2_x00_hh0_miss",
"miss_2_0y0_hh0_miss",
"miss_2_00z_hh0_miss",
"miss_2_xx0_hh0_miss",
"miss_2_x0x_hh0_miss",
"miss_2_0yy_hh0_miss",
"miss_2_xmx0_hh0_miss",
"miss_2_mx0x_hh0_miss",
"miss_2_0myy_hh0_miss",
"miss_3_xxx_hh0_miss",
"miss_3_xmxmx_hh0_miss",
"miss_3_mxxmx_hh0_miss",
"miss_3_mxmxx_hh0_miss",
"miss_m3_xxx_hh0_miss",
"miss_m3_xmxmx_hh0_miss",
"miss_m3_mxxmx_hh0_miss",
"miss_m3_mxmxx_hh0_miss",
"miss_4_x00_hh0_miss",
"miss_4_0y0_hh0_miss",
"miss_4_00z_hh0_miss",
"miss_m4_x00_hh0_miss",
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"miss_m4_00z_hh0_miss",
"miss_inv_000_hhh_miss",
"miss_m_0yz_hhh_miss",
"miss_m_x0z_hhh_miss",
"miss_m_xy0_hhh_miss",
"miss_m_xmxz_hhh_miss",
"miss_m_xymy_hhh_miss",
"miss_m_xymx_hhh_miss",
"miss_m_xyx_hhh_miss",
"miss_m_xxz_hhh_miss",
"miss_m_xyy_hhh_miss",
"miss_2_x00_hhh_miss",
"miss_2_0y0_hhh_miss",
"miss_2_00z_hhh_miss",
"miss_2_xx0_hhh_miss",
"miss_2_x0x_hhh_miss",
"miss_2_0yy_hhh_miss",
"miss_2_xmx0_hhh_miss",
"miss_2_mx0x_hhh_miss",
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"miss_3_xxx_hhh_miss",
"miss_3_xmxmx_hhh_miss",
"miss_3_mxxmx_hhh_miss",
"miss_3_mxmxx_hhh_miss",
"miss_m3_xxx_hhh_miss",
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"miss_m3_mxxmx_hhh_miss",
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"miss_3_xxx_qqq_miss",
"miss_3_xmxmx_qqq_miss",
"miss_3_mxxmx_qqq_miss",
"miss_3_mxmxx_qqq_miss",
"miss_m3_xxx_qqq_miss",
"miss_m3_xmxmx_qqq_miss",
"miss_m3_mxxmx_qqq_miss",
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"miss_4_00z_qqq_miss",
"miss_m4_x00_qqq_miss",
"miss_m4_0y0_qqq_miss",
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"miss_inv_000_3qqq_miss",
"miss_m_0yz_3qqq_miss",
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"miss_m_xmxz_3qqq_miss",
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"miss_m_xyx_3qqq_miss",
"miss_m_xxz_3qqq_miss",
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"miss_3_xxx_3qqq_miss",
"miss_3_xmxmx_3qqq_miss",
"miss_3_mxxmx_3qqq_miss",
"miss_3_mxmxx_3qqq_miss",
"miss_m3_xxx_3qqq_miss",
"miss_m3_xmxmx_3qqq_miss",
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"miss_3_xmxmx_q3qq_miss",
"miss_3_mxxmx_q3qq_miss",
"miss_3_mxmxx_q3qq_miss",
"miss_m3_xxx_q3qq_miss",
"miss_m3_xmxmx_q3qq_miss",
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"miss_m_xymx_qq3q_miss",
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"miss_2_0myy_qq3q_miss",
"miss_3_xxx_qq3q_miss",
"miss_3_xmxmx_qq3q_miss",
"miss_3_mxxmx_qq3q_miss",
"miss_3_mxmxx_qq3q_miss",
"miss_m3_xxx_qq3q_miss",
"miss_m3_xmxmx_qq3q_miss",
"miss_m3_mxxmx_qq3q_miss",
"miss_m3_mxmxx_qq3q_miss",
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"miss_3_mxxmx_3q3q3q_miss",
"miss_3_mxmxx_3q3q3q_miss",
"miss_m3_xxx_3q3q3q_miss",
"miss_m3_xmxmx_3q3q3q_miss",
"miss_m3_mxxmx_3q3q3q_miss",
"miss_m3_mxmxx_3q3q3q_miss",
"miss_4_x00_3q3q3q_miss",
"miss_4_0y0_3q3q3q_miss",
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"miss_m4_00z_3q3q3q_miss",
]
| 50.459532 | 112 | 0.78997 | 12,586 | 75,437 | 3.98983 | 0.04362 | 0.202406 | 0.147861 | 0.187291 | 0.806277 | 0.534471 | 0.4536 | 0.426259 | 0.405887 | 0.098096 | 0 | 0.108623 | 0.117913 | 75,437 | 1,494 | 113 | 50.493307 | 0.646028 | 0.018439 | 0 | 0 | 0 | 0 | 0.177922 | 0.070892 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.000671 | 0 | 0.000671 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
9b6bf7b206d50a8a2c5094e4b7d3be29dfc6bdd4 | 350 | py | Python | stubs.min/System/Windows/__init___parts/DpiChangedEventArgs.py | ricardyn/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | 1 | 2021-02-02T13:39:16.000Z | 2021-02-02T13:39:16.000Z | stubs.min/System/Windows/__init___parts/DpiChangedEventArgs.py | hdm-dt-fb/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | null | null | null | stubs.min/System/Windows/__init___parts/DpiChangedEventArgs.py | hdm-dt-fb/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | null | null | null | class DpiChangedEventArgs(RoutedEventArgs):
# no doc
NewDpi=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: NewDpi(self: DpiChangedEventArgs) -> DpiScale
"""
OldDpi=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: OldDpi(self: DpiChangedEventArgs) -> DpiScale
"""
| 25 | 78 | 0.691429 | 39 | 350 | 6.205128 | 0.384615 | 0.247934 | 0.14876 | 0.198347 | 0.46281 | 0.46281 | 0.46281 | 0.46281 | 0.46281 | 0.46281 | 0 | 0 | 0.165714 | 350 | 13 | 79 | 26.923077 | 0.828767 | 0.017143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 3 |
9b775e0edfe332b3a1377a629abd5be759ad46cd | 159 | py | Python | pygears/rtl/__init__.py | Risto97/pygears | 19393e85101a16762cb3bbbf3010946ef69217f2 | [
"MIT"
] | null | null | null | pygears/rtl/__init__.py | Risto97/pygears | 19393e85101a16762cb3bbbf3010946ef69217f2 | [
"MIT"
] | null | null | null | pygears/rtl/__init__.py | Risto97/pygears | 19393e85101a16762cb3bbbf3010946ef69217f2 | [
"MIT"
] | null | null | null | from .connect import rtl_connect
from .inst import rtl_inst
from .channel import RTLChannelVisitor
__all__ = ['rtl_inst', 'rtl_connect', 'RTLChannelVisitor']
| 26.5 | 58 | 0.798742 | 20 | 159 | 5.95 | 0.4 | 0.151261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.113208 | 159 | 5 | 59 | 31.8 | 0.843972 | 0 | 0 | 0 | 0 | 0 | 0.226415 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
9b7bf08a21231ba8ac67650869a14b89c576e3e5 | 1,056 | py | Python | friendly_states/exceptions.py | alexmojaki/friendly_states | 22fc338e8b56e25635e456f0370cd216022db304 | [
"MIT"
] | 20 | 2019-10-10T22:36:46.000Z | 2021-08-20T17:55:03.000Z | friendly_states/exceptions.py | alexmojaki/friendly_states | 22fc338e8b56e25635e456f0370cd216022db304 | [
"MIT"
] | 1 | 2019-09-24T07:24:10.000Z | 2019-09-24T07:24:10.000Z | friendly_states/exceptions.py | alexmojaki/friendly_states | 22fc338e8b56e25635e456f0370cd216022db304 | [
"MIT"
] | 3 | 2019-09-23T08:58:08.000Z | 2021-04-19T04:18:30.000Z | class StateMachineException(Exception):
def __init__(self, message_format, **kwargs):
if kwargs:
self.message = message_format.format(**kwargs)
else:
self.message = message_format
self.__dict__.update(**kwargs)
def __str__(self):
return self.message
class IncorrectInitialState(StateMachineException):
pass
class StateChangedElsewhere(StateMachineException):
pass
class MultipleMachineAncestors(StateMachineException):
pass
class IncorrectSummary(StateMachineException):
pass
class InheritedFromState(StateMachineException):
pass
class CannotInferOutputState(StateMachineException):
pass
class DuplicateStateNames(StateMachineException):
pass
class DuplicateOutputStates(StateMachineException):
pass
class UnknownOutputState(StateMachineException):
pass
class ReturnedInvalidState(StateMachineException):
pass
class GetStateDidNotReturnState(StateMachineException):
pass
class DjangoStateAttrNameWarning(Warning):
pass
| 17.898305 | 58 | 0.753788 | 80 | 1,056 | 9.7625 | 0.3625 | 0.352113 | 0.422535 | 0.06146 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.182765 | 1,056 | 58 | 59 | 18.206897 | 0.904983 | 0 | 0 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0.363636 | 0 | 0.030303 | 0.484848 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
9b8471539b1108aa28a393210028e0ce8b922ba7 | 312 | py | Python | src/backend/database_migrations/versions/20210218_175604_merge_heads.py | chanzuckerberg/czgenepi | 87bd2b1739acdfe2c7c25663fafb01dc24c5e2fd | [
"MIT"
] | 5 | 2021-02-04T20:18:46.000Z | 2021-09-09T13:42:42.000Z | src/backend/database_migrations/versions/20210218_175604_merge_heads.py | chanzuckerberg/aspen | 9853778a7ef68b0446751657af5a835f98dde3dc | [
"MIT"
] | 422 | 2021-01-30T04:16:00.000Z | 2022-01-31T23:18:44.000Z | src/backend/database_migrations/versions/20210218_175604_merge_heads.py | chanzuckerberg/covidr | afe05d703d30ec18ac83944bfb551c313cb216c4 | [
"MIT"
] | 1 | 2021-05-20T14:54:39.000Z | 2021-05-20T14:54:39.000Z | """merge heads
Create Date: 2021-02-18 17:56:04.778686
"""
import enumtables # noqa: F401
# revision identifiers, used by Alembic.
revision = "20210218_175604"
down_revision = ("20210218_104830", "20210218_110710")
branch_labels = None
depends_on = None
def upgrade():
pass
def downgrade():
pass
| 14.857143 | 54 | 0.714744 | 41 | 312 | 5.292683 | 0.829268 | 0.147465 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.250965 | 0.169872 | 312 | 20 | 55 | 15.6 | 0.586873 | 0.330128 | 0 | 0.222222 | 0 | 0 | 0.225 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0.222222 | 0.111111 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
9b88d6322ff43feb47b4024531b608741579f09d | 204 | py | Python | challenges/urls.py | arijit79/pythonhub | b22ac5d13fcd700a9fad1c1a9976082526e29e7d | [
"MIT"
] | null | null | null | challenges/urls.py | arijit79/pythonhub | b22ac5d13fcd700a9fad1c1a9976082526e29e7d | [
"MIT"
] | null | null | null | challenges/urls.py | arijit79/pythonhub | b22ac5d13fcd700a9fad1c1a9976082526e29e7d | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path("<int:pk>", views.answer, name="challenge-answer"),
path("previous/<int:pk>", views.last_challenge, name="last-challenge")
]
| 25.5 | 74 | 0.696078 | 27 | 204 | 5.222222 | 0.518519 | 0.070922 | 0.141844 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.132353 | 204 | 7 | 75 | 29.142857 | 0.79661 | 0 | 0 | 0 | 0 | 0 | 0.269608 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
9bae5fb2af461b5498aa7f9a23f5106edde74583 | 164 | py | Python | src/currency/api/pagination.py | qmzrjf/currency_exchange_new | 41c9947405e3fdcf60eab6ad7d573a68590c6a9f | [
"MIT"
] | null | null | null | src/currency/api/pagination.py | qmzrjf/currency_exchange_new | 41c9947405e3fdcf60eab6ad7d573a68590c6a9f | [
"MIT"
] | 5 | 2021-03-19T08:50:23.000Z | 2022-02-10T13:49:42.000Z | src/currency/api/pagination.py | qmzrjf/currency_exchange_new | 41c9947405e3fdcf60eab6ad7d573a68590c6a9f | [
"MIT"
] | null | null | null | from rest_framework.pagination import PageNumberPagination
class RateResultsSetPagination(PageNumberPagination):
page_size = 20
page_query_param = 'page'
| 23.428571 | 58 | 0.817073 | 16 | 164 | 8.125 | 0.8125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014085 | 0.134146 | 164 | 6 | 59 | 27.333333 | 0.901408 | 0 | 0 | 0 | 0 | 0 | 0.02439 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
32d1dccb36b2c057008bbd514c3f8ae5a00fef56 | 258 | py | Python | project/apps/schools/admin.py | skoczen/pdxschoolhack | 6780e96d3cd1fe7230e6692531e0a371ddd5bf0c | [
"BSD-2-Clause"
] | null | null | null | project/apps/schools/admin.py | skoczen/pdxschoolhack | 6780e96d3cd1fe7230e6692531e0a371ddd5bf0c | [
"BSD-2-Clause"
] | 2 | 2020-06-05T18:39:06.000Z | 2021-06-10T20:35:03.000Z | project/apps/schools/admin.py | skoczen/pdxschoolhack | 6780e96d3cd1fe7230e6692531e0a371ddd5bf0c | [
"BSD-2-Clause"
] | null | null | null | from django.contrib import admin
from schools.models import SchoolType, School
# class EmailSubscriptionOptions(admin.ModelAdmin):
# list_display = ('email',)
# search_fields = ('email',)
admin.site.register(SchoolType)
admin.site.register(School) | 25.8 | 51 | 0.75969 | 29 | 258 | 6.689655 | 0.655172 | 0.092784 | 0.175258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.124031 | 258 | 10 | 52 | 25.8 | 0.858407 | 0.426357 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
fd2e930bdcd3ce39203553949273e7ea060f8981 | 58 | py | Python | gobbli/model/transformer/__init__.py | awesome-archive/gobbli | 71aacbdc1184871b164185dc0c9f615f07b83173 | [
"Apache-2.0"
] | 276 | 2019-09-13T08:25:51.000Z | 2022-03-05T13:07:55.000Z | gobbli/model/transformer/__init__.py | awesome-archive/gobbli | 71aacbdc1184871b164185dc0c9f615f07b83173 | [
"Apache-2.0"
] | 15 | 2019-09-06T14:05:30.000Z | 2022-01-01T20:15:06.000Z | gobbli/model/transformer/__init__.py | awesome-archive/gobbli | 71aacbdc1184871b164185dc0c9f615f07b83173 | [
"Apache-2.0"
] | 24 | 2019-09-18T15:11:42.000Z | 2021-12-23T18:59:55.000Z | from .model import Transformer
__all__ = ["Transformer"]
| 14.5 | 30 | 0.758621 | 6 | 58 | 6.666667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 58 | 3 | 31 | 19.333333 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0.189655 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
fd41e81488f1dc90a9fdd783f5ecb977294184fa | 58 | py | Python | other/ipypublish/__init__.py | KGerring/metaproj | e957de611f5268978df10184e4cedbd229ef617a | [
"MIT"
] | 2 | 2021-04-11T01:43:09.000Z | 2021-07-08T00:17:57.000Z | other/ipypublish/__init__.py | KGerring/metaproj | e957de611f5268978df10184e4cedbd229ef617a | [
"MIT"
] | 1 | 2021-08-21T23:39:26.000Z | 2021-08-21T23:39:26.000Z | other/ipypublish/__init__.py | KGerring/metaproj | e957de611f5268978df10184e4cedbd229ef617a | [
"MIT"
] | null | null | null | from __future__ import annotations
__version__ = '0.6.5'
| 14.5 | 34 | 0.775862 | 8 | 58 | 4.625 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06 | 0.137931 | 58 | 3 | 35 | 19.333333 | 0.68 | 0 | 0 | 0 | 0 | 0 | 0.086207 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
fd502771b00d719e10ce20be634d28bb9f6498a6 | 272 | py | Python | rental/rents/apps.py | manuelen12/bike_test | 1300cb4ebae7022dd468b46bd1ee64147f658ba6 | [
"MIT"
] | null | null | null | rental/rents/apps.py | manuelen12/bike_test | 1300cb4ebae7022dd468b46bd1ee64147f658ba6 | [
"MIT"
] | null | null | null | rental/rents/apps.py | manuelen12/bike_test | 1300cb4ebae7022dd468b46bd1ee64147f658ba6 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class RentsConfig(AppConfig):
name = 'rental.rents'
verbose_name = "Rents"
def ready(self):
"""Override this to put in:
Users system checks
Users signal registration
"""
pass
| 19.428571 | 37 | 0.591912 | 29 | 272 | 5.517241 | 0.862069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.330882 | 272 | 13 | 38 | 20.923077 | 0.879121 | 0.257353 | 0 | 0 | 0 | 0 | 0.104294 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0.166667 | 0.166667 | 0 | 0.833333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 3 |
fd61f6d0b664ca0d99a5f26cb889ca1a0485b756 | 4,372 | py | Python | tests/i18n_custom_test.py | FelixSchwarz/pycerberus | d38376a52e61516023a3de61d43ef3d225161c7e | [
"MIT"
] | null | null | null | tests/i18n_custom_test.py | FelixSchwarz/pycerberus | d38376a52e61516023a3de61d43ef3d225161c7e | [
"MIT"
] | 4 | 2018-10-21T16:00:59.000Z | 2019-09-14T21:05:32.000Z | tests/i18n_custom_test.py | FelixSchwarz/pycerberus | d38376a52e61516023a3de61d43ef3d225161c7e | [
"MIT"
] | null | null | null | # -*- coding: UTF-8 -*-
# This file is a part of pycerberus.
# The source code contained in this file is licensed under the MIT license.
# See LICENSE.txt in the main project directory, for more information.
# SPDX-License-Identifier: MIT
from __future__ import absolute_import, print_function, unicode_literals
from pythonic_testcase import *
from pycerberus.test_util import ValidationTest
from pycerberus.validators import IntegerValidator
class FrameworkValidator(IntegerValidator):
def translation_parameters(self, context):
return {'domain': 'framework'}
class ValidatorWithAdditionalKeys(FrameworkValidator):
def messages(self):
return {'foo': 'bar'}
def translation_parameters(self, context):
return {'domain': 'fnord'}
def translate_message(self, key, native_message, translation_parameters, context):
assert key == 'foo'
return 'A message from an application validator.'
class SimpleDerivedValidator(ValidatorWithAdditionalKeys):
pass
class ValidatorRedefiningKeys(FrameworkValidator):
def messages(self):
return {'empty': 'fnord'}
def translation_parameters(self, context):
# We need to change back the domain as this validator is used to get
# a real message - if the .mo file for the gettext domain does not
# exist, gettext will raise an error.
return {'domain': 'pycerberus'}
class ValidatorWithNonGettextTranslation(FrameworkValidator):
def translation_parameters(self, context):
# we change the domain here on purpose - if gettext would check for
# locale files for this domain, it would raise an exception because the
# file is not there...
return {'domain': 'application'}
def translate_message(self, key, native_message, translation_parameters, context):
assert key == 'inactive'
if context['locale'] == 'de':
return u'db Übersetzung'
return 'db translation'
def messages(self):
return {'inactive': 'Untranslated message'}
class CustomizedI18NBehaviorTest(ValidationTest):
validator_class = ValidatorWithAdditionalKeys
def domain_for_key(self, key):
gettext_args = self.validator()._implementation(key, 'translation_parameters', {})()
return gettext_args.get('domain')
def test_validator_can_define_more_translations_while_keeping_existing_ones(self):
assert_equals('Bitte geben Sie einen Wert ein.', self.message_for_key('empty'))
assert_equals('A message from an application validator.', self.message_for_key('foo'))
def test_validator_can_define_custom_parameters_for_translation_mechanism(self):
assert_equals('pycerberus', self.domain_for_key('empty'))
assert_equals('fnord', self.domain_for_key('foo'))
def test_parameters_for_translation_are_inherited_from_super_class(self):
assert_equals('fnord', self.domain_for_key('foo'))
self.init_validator(SimpleDerivedValidator())
assert_equals('fnord', self.domain_for_key('foo'))
def test_use_parameters_for_translation_from_class_where_key_is_defined(self):
self.init_validator(SimpleDerivedValidator())
assert_equals('framework', self.domain_for_key('invalid_type'))
assert_equals('fnord', self.domain_for_key('foo'))
def test_validators_can_use_their_own_translations_for_existing_keys(self):
assert_equals(u'Bitte geben Sie einen Wert ein.', self.message_for_key('empty'))
self.init_validator(ValidatorRedefiningKeys())
assert_equals('fnord', self.message_for_key('empty'))
def test_validators_can_use_other_translation_systems_than_gettext(self):
self.init_validator(ValidatorWithNonGettextTranslation())
assert_equals('db translation', self.message_for_key('inactive', locale='en'))
assert_equals(u'db Übersetzung', self.message_for_key('inactive', locale='de'))
def test_different_translation_system_is_only_applied_to_messages_declared_in_that_class(self):
self.init_validator(ValidatorWithNonGettextTranslation())
# This translation is present in the included mo files but not returned
# by the custom translation method.
assert_equals(u'Bitte geben Sie einen Wert ein.', self.message_for_key('empty'))
| 39.387387 | 99 | 0.72667 | 515 | 4,372 | 5.906796 | 0.299029 | 0.027613 | 0.027613 | 0.039119 | 0.395464 | 0.286654 | 0.190007 | 0.159106 | 0.147272 | 0.147272 | 0 | 0.000842 | 0.184812 | 4,372 | 110 | 100 | 39.745455 | 0.852694 | 0.150732 | 0 | 0.306452 | 0 | 0 | 0.133892 | 0.005951 | 0 | 0 | 0 | 0 | 0.241935 | 1 | 0.274194 | false | 0.016129 | 0.064516 | 0.112903 | 0.629032 | 0.016129 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
b5e9f2d6adf39e9daa2bb87050d1fb88a82ea568 | 954 | py | Python | members_only/migrations/0002_auto_20190324_0319.py | TamasPalfi/FixedDB | be3e4e830b05099d33031759f4a7fc8a42f1e733 | [
"BSD-2-Clause"
] | null | null | null | members_only/migrations/0002_auto_20190324_0319.py | TamasPalfi/FixedDB | be3e4e830b05099d33031759f4a7fc8a42f1e733 | [
"BSD-2-Clause"
] | null | null | null | members_only/migrations/0002_auto_20190324_0319.py | TamasPalfi/FixedDB | be3e4e830b05099d33031759f4a7fc8a42f1e733 | [
"BSD-2-Clause"
] | null | null | null | # Generated by Django 2.1.7 on 2019-03-24 03:19
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('members_only', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='post',
name='photo',
field=models.ForeignKey(blank=True, on_delete=django.db.models.deletion.CASCADE, to='members_only.Photo'),
),
migrations.AlterField(
model_name='user',
name='address',
field=models.TextField(default=''),
),
migrations.AlterField(
model_name='user',
name='points_balance',
field=models.IntegerField(default=0),
),
migrations.AlterField(
model_name='user',
name='stripe_card',
field=models.CharField(default='', max_length=100),
),
]
| 27.257143 | 118 | 0.575472 | 95 | 954 | 5.663158 | 0.536842 | 0.148699 | 0.185874 | 0.215613 | 0.20632 | 0.20632 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 0.300839 | 954 | 34 | 119 | 28.058824 | 0.772114 | 0.04717 | 0 | 0.392857 | 1 | 0 | 0.104741 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
b5ed686d58c97de92ced1d373cb6320c70ea2fb4 | 68,420 | py | Python | autolens/pipeline/phase.py | AshKelly/PyAutoLens | 043795966338a655339e61782253ad67cc3c14e6 | [
"MIT"
] | null | null | null | autolens/pipeline/phase.py | AshKelly/PyAutoLens | 043795966338a655339e61782253ad67cc3c14e6 | [
"MIT"
] | null | null | null | autolens/pipeline/phase.py | AshKelly/PyAutoLens | 043795966338a655339e61782253ad67cc3c14e6 | [
"MIT"
] | null | null | null | import logging
import os
import warnings
import numpy as np
from astropy import cosmology as cosmo
from autofit import conf
from autofit.tools import phase
from autofit.tools.phase_property import PhasePropertyCollection
from autofit.optimize import non_linear
from autolens import exc
from autolens.data.array import mask as msk
from autolens.data.plotters import ccd_plotters
from autolens.lens import lens_data as li, lens_fit
from autolens.lens import ray_tracing
from autolens.lens import sensitivity_fit
from autolens.lens.plotters import sensitivity_fit_plotters, ray_tracing_plotters, lens_fit_plotters
from autolens.model.galaxy import galaxy as g, galaxy_model as gm, galaxy_fit, galaxy_data as gd
from autolens.model.galaxy.plotters import galaxy_fit_plotters
logger = logging.getLogger(__name__)
logger.level = logging.DEBUG
def default_mask_function(image):
return msk.Mask.circular(shape=image.shape, pixel_scale=image.pixel_scale, radius_arcsec=3.0)
def setup_phase_mask(data, mask, mask_function, inner_circular_mask_radii):
if mask_function is not None:
mask = mask_function(image=data.image)
elif mask is None and mask_function is None:
mask = default_mask_function(image=data.image)
if inner_circular_mask_radii is not None:
inner_mask = msk.Mask.circular(shape=mask.shape, pixel_scale=mask.pixel_scale,
radius_arcsec=inner_circular_mask_radii, invert=True)
mask = mask + inner_mask
return mask
class ResultsCollection(list):
def __init__(self, results):
super().__init__(results)
@property
def last(self):
if len(self) > 0:
return self[-1]
return None
@property
def first(self):
if len(self) > 0:
return self[0]
return None
class AbstractPhase(phase.AbstractPhase):
def __init__(self, phase_name, optimizer_class=non_linear.MultiNest, cosmology=cosmo.Planck15,
auto_link_priors=False):
"""
A phase in an lens pipeline. Uses the set non_linear optimizer to try to fit models and hyper
passed to it.
Parameters
----------
optimizer_class: class
The class of a non_linear optimizer
phase_name: str
The name of this phase
"""
self.optimizer = optimizer_class(name=phase_name)
self.cosmology = cosmology
self.phase_name = phase_name
self.auto_link_priors = auto_link_priors
@property
def constant(self):
"""
Convenience method
Returns
-------
ModelInstance
A model instance comprising all the constant objects in this lens
"""
return self.optimizer.constant
@property
def variable(self):
"""
Convenience method
Returns
-------
ModelMapper
A model mapper comprising all the variable (prior) objects in this lens
"""
return self.optimizer.variable
@property
def galaxy_model_tuples(self):
"""
Returns
-------
galaxy_model_tuples: [(String, GalaxyModel)]
A list of tuples containing galaxy model names and instances.
"""
return [tup for tup in self.optimizer.variable.prior_model_tuples if
isinstance(tup.prior_model, gm.GalaxyModel)]
def match_instance_to_models(self, instance):
"""
Matches named galaxies associated with the instance to named galaxies associated with this phase.
Parameters
----------
instance: ModelInstance
An instance with named galaxy attributes.
Returns
-------
tuples: [(String, Galaxy, GalaxyModel)]
A list of tuples associating galaxy instances from the model instance object with galaxy models in this
phase.
"""
galaxy_dict = dict(instance.name_instance_tuples_for_class(g.Galaxy))
return [(key, galaxy_dict[key], value) for key, value in self.galaxy_model_tuples if key in galaxy_dict]
def fit_priors(self, instance, fitting_function):
"""
Update the priors in this phase by fitting each galaxy model to a galaxy with the same name from a previous
phase if such a galaxy exists.
Parameters
----------
instance: ModelInstance
An object with named galaxy attributes
fitting_function: (Galaxy, GalaxyModel) -> GalaxyModel
A function that takes a galaxy and a galaxy model and returns a GalaxyModel produced by combining a best fit
between the original galaxy and galaxy model with prior widths given by the configuration.
"""
tuples = self.match_instance_to_models(instance)
for t in tuples:
name = t[0]
galaxy = t[1]
galaxy_model = t[2]
new_galaxy_model = fitting_function(galaxy, galaxy_model)
for phase_property_collection in self.phase_property_collections:
if hasattr(phase_property_collection, name):
setattr(phase_property_collection, name, new_galaxy_model)
def fit_priors_with_results(self, results, fitting_function):
"""
Update the priors in this phase by fitting each galaxy model to a galaxy with the same name from a previous
phase if such a galaxy exists.
Results later in the list take precedence, with the last instance of any galaxies that share a name being kept.
Parameters
----------
results: [Results]
A list of results from previous phases.
fitting_function: (Galaxy, GalaxyModel) -> GalaxyModel
A function that takes a galaxy and a galaxy model and returns a GalaxyModel produced by combining a best fit
between the original galaxy and galaxy model with prior widths given by the configuration.
"""
if results is not None and len(results) > 0:
instances = [r.constant for r in results]
instance = instances[0]
for next_instance in instances[1:]:
instance += next_instance
self.fit_priors(instance, fitting_function)
@property
def phase_property_collections(self):
"""
Returns
-------
phase_property_collections: [PhasePropertyCollection]
A list of phase property collections associated with this phase. This is used in automated prior passing and
should be overridden for any phase that contains its own PhasePropertyCollections.
"""
return []
@property
def path(self):
return self.optimizer.path
@property
def doc(self):
if self.__doc__ is not None:
return self.__doc__.replace(" ", "").replace("\n", " ")
def pass_priors(self, previous_results):
"""
Perform any prior or constant passing. This could involve setting model attributes equal to priors or constants
from a previous phase.
Parameters
----------
previous_results: ResultsCollection
The result of the previous phase
"""
pass
# noinspection PyAbstractClass
class Analysis(non_linear.Analysis):
def __init__(self, cosmology, phase_name, previous_results=None):
"""
An lens object
Parameters
----------
phase_name: str
The name of the phase to which this analysis belongs
previous_results: ResultsCollection
The results of all previous phases
"""
self.previous_results = previous_results
self.cosmology = cosmology
self.phase_name = phase_name
self.phase_output_path = "{}/{}".format(conf.instance.output_path, self.phase_name)
log_file = conf.instance.general.get('output', 'log_file', str)
if not len(log_file.replace(" ", "")) == 0:
log_path = "{}/{}".format(self.phase_output_path, log_file)
logger.handlers = [logging.FileHandler(log_path)]
logger.propagate = False
self.position_threshold = conf.instance.general.get('positions', 'position_threshold', float)
self.plot_count = 0
self.output_image_path = "{}/image/".format(self.phase_output_path)
make_path_if_does_not_exist(path=self.output_image_path)
self.output_fits_path = "{}/image/fits/".format(self.phase_output_path)
make_path_if_does_not_exist(path=self.output_fits_path)
@property
def last_results(self):
if self.previous_results is not None:
return self.previous_results.last
def tracer_for_instance(self, instance):
raise NotImplementedError()
def padded_tracer_for_instance(self, instance):
raise NotImplementedError()
def fit_for_tracers(self, tracer, padded_tracer):
raise NotImplementedError()
def figure_of_merit_for_fit(self, tracer):
raise NotImplementedError()
def make_result(self, result, analysis):
return self.__class__.Result(constant=result.constant, figure_of_merit=result.figure_of_merit,
variable=result.variable, analysis=analysis, optimizer=self.optimizer)
class Result(non_linear.Result):
def __init__(self, constant, figure_of_merit, variable, analysis, optimizer):
"""
The result of a phase
"""
super(Phase.Result, self).__init__(constant=constant, figure_of_merit=figure_of_merit, variable=variable)
self.analysis = analysis
self.optimizer = optimizer
@property
def most_likely_tracer(self):
return self.analysis.tracer_for_instance(instance=self.constant)
@property
def most_likely_padded_tracer(self):
return self.analysis.padded_tracer_for_instance(instance=self.constant)
@property
def most_likely_fit(self):
return self.analysis.fit_for_tracers(tracer=self.most_likely_tracer,
padded_tracer=self.most_likely_padded_tracer)
@property
def unmasked_model_image(self):
return self.most_likely_fit.unmasked_model_image
@property
def unmasked_model_image_of_planes(self):
return self.most_likely_fit.unmasked_model_image_of_planes
@property
def unmasked_model_image_of_planes_and_galaxies(self):
return self.most_likely_fit.unmasked_model_image_of_planes_and_galaxies
class Phase(AbstractPhase):
def run(self, image, previous_results=None, mask=None):
raise NotImplementedError()
# noinspection PyAbstractClass
class Analysis(AbstractPhase.Analysis):
def __init__(self, cosmology, phase_name, previous_results=None):
super(Phase.Analysis, self).__init__(cosmology=cosmology, phase_name=phase_name,
previous_results=previous_results)
self.should_plot_mask = \
conf.instance.general.get('output', 'plot_mask_on_images', bool)
self.extract_array_from_mask = \
conf.instance.general.get('output', 'extract_images_from_mask', bool)
self.zoom_around_mask = \
conf.instance.general.get('output', 'zoom_around_mask_of_images', bool)
self.should_plot_positions = \
conf.instance.general.get('output', 'plot_positions_on_images', bool)
self.plot_units = \
conf.instance.general.get('output', 'plot_units', str).strip()
self.plot_ray_tracing_all_at_end_png = \
conf.instance.general.get('output', 'plot_ray_tracing_all_at_end_png', bool)
self.plot_ray_tracing_all_at_end_fits = \
conf.instance.general.get('output', 'plot_ray_tracing_all_at_end_fits', bool)
self.plot_ray_tracing_as_subplot = \
conf.instance.general.get('output', 'plot_ray_tracing_as_subplot', bool)
self.plot_ray_tracing_image_plane_image = \
conf.instance.general.get('output', 'plot_ray_tracing_image_plane_image', bool)
self.plot_ray_tracing_source_plane = \
conf.instance.general.get('output', 'plot_ray_tracing_source_plane_image', bool)
self.plot_ray_tracing_surface_density = \
conf.instance.general.get('output', 'plot_ray_tracing_surface_density', bool)
self.plot_ray_tracing_potential = \
conf.instance.general.get('output', 'plot_ray_tracing_potential', bool)
self.plot_ray_tracing_deflections = \
conf.instance.general.get('output', 'plot_ray_tracing_deflections', bool)
class PhasePositions(AbstractPhase):
lens_galaxies = PhasePropertyCollection("lens_galaxies")
@property
def phase_property_collections(self):
return [self.lens_galaxies]
def __init__(self, phase_name, lens_galaxies=None, optimizer_class=non_linear.MultiNest, cosmology=cosmo.Planck15,
auto_link_priors=False):
super().__init__(optimizer_class=optimizer_class, cosmology=cosmology,
phase_name=phase_name, auto_link_priors=auto_link_priors)
self.lens_galaxies = lens_galaxies
def run(self, positions, pixel_scale, previous_results=None):
"""
Run this phase.
Parameters
----------
pixel_scale
positions
previous_results: ResultsCollection
An object describing the results of the last phase or None if no phase has been executed
Returns
-------
result: AbstractPhase.Result
A result object comprising the best fit model and other hyper.
"""
analysis = self.make_analysis(positions=positions, pixel_scale=pixel_scale, previous_results=previous_results)
result = self.run_analysis(analysis)
return self.make_result(result, analysis)
def make_analysis(self, positions, pixel_scale, previous_results=None):
"""
Create an lens object. Also calls the prior passing and lens_data modifying functions to allow child
classes to change the behaviour of the phase.
Parameters
----------
pixel_scale
positions
previous_results: ResultsCollection
The result from the previous phase
Returns
-------
lens: Analysis
An lens object that the non-linear optimizer calls to determine the fit of a set of values
"""
self.pass_priors(previous_results)
analysis = self.__class__.Analysis(positions=positions, pixel_scale=pixel_scale, cosmology=self.cosmology,
phase_name=self.phase_name, previous_results=previous_results)
return analysis
# noinspection PyAbstractClass
class Analysis(Phase.Analysis):
def __init__(self, positions, pixel_scale, cosmology, phase_name, previous_results=None):
super().__init__(cosmology=cosmology, phase_name=phase_name, previous_results=previous_results)
self.positions = list(map(lambda position_set: np.asarray(position_set), positions))
self.pixel_scale = pixel_scale
def visualize(self, instance, suffix, during_analysis):
pass
def fit(self, instance):
"""
Determine the fit of a lens galaxy and source galaxy to the lens_data in this lens.
Parameters
----------
instance
A model instance with attributes
Returns
-------
fit: Fit
A fractional value indicating how well this model fit and the model lens_data itself
"""
tracer = self.tracer_for_instance(instance)
fit = self.fit_for_tracer(tracer)
return fit.figure_of_merit
def tracer_for_instance(self, instance):
return ray_tracing.TracerImageSourcePlanesPositions(lens_galaxies=instance.lens_galaxies,
image_plane_positions=self.positions,
cosmology=self.cosmology)
def fit_for_tracer(self, tracer):
return lens_fit.LensPositionFit(positions=tracer.source_plane.positions, noise_map=self.pixel_scale)
@classmethod
def log(cls, instance):
logger.debug(
"\nRunning lens lens for... \n\nLens Galaxy::\n{}\n\n".format(instance.lens_galaxies))
class PhaseImaging(Phase):
def __init__(self, phase_name, optimizer_class=non_linear.MultiNest, sub_grid_size=2, image_psf_shape=None,
pixelization_psf_shape=None, use_positions=False, mask_function=None, inner_circular_mask_radii=None,
cosmology=cosmo.Planck15, auto_link_priors=False):
"""
A phase in an lens pipeline. Uses the set non_linear optimizer to try to fit models and hyper
passed to it.
Parameters
----------
optimizer_class: class
The class of a non_linear optimizer
sub_grid_size: int
The side length of the subgrid
"""
super(PhaseImaging, self).__init__(optimizer_class=optimizer_class, cosmology=cosmology,
phase_name=phase_name, auto_link_priors=auto_link_priors)
self.sub_grid_size = sub_grid_size
self.image_psf_shape = image_psf_shape
self.pixelization_psf_shape = pixelization_psf_shape
self.use_positions = use_positions
self.mask_function = mask_function
self.inner_circular_mask_radii = inner_circular_mask_radii
# noinspection PyMethodMayBeStatic,PyUnusedLocal
def modify_image(self, image, previous_results):
"""
Customize an lens_data. e.g. removing lens light.
Parameters
----------
image: scaled_array.ScaledSquarePixelArray
An lens_data that has been masked
previous_results: ResultsCollection
The result of the previous lens
Returns
-------
lens_data: scaled_array.ScaledSquarePixelArray
The modified image (not changed by default)
"""
return image
def run(self, data, previous_results=None, mask=None, positions=None):
"""
Run this phase.
Parameters
----------
mask: Mask
The default masks passed in by the pipeline
previous_results: ResultsCollection
An object describing the results of the last phase or None if no phase has been executed
data: scaled_array.ScaledSquarePixelArray
An lens_data that has been masked
Returns
-------
result: AbstractPhase.Result
A result object comprising the best fit model and other hyper.
"""
analysis = self.make_analysis(data=data, previous_results=previous_results, mask=mask, positions=positions)
result = self.run_analysis(analysis)
return self.make_result(result, analysis)
def make_analysis(self, data, previous_results=None, mask=None, positions=None):
"""
Create an lens object. Also calls the prior passing and lens_data modifying functions to allow child
classes to change the behaviour of the phase.
Parameters
----------
mask: Mask
The default masks passed in by the pipeline
data: im.CCD
An lens_data that has been masked
previous_results: ResultsCollection
The result from the previous phase
Returns
-------
lens : Analysis
An lens object that the non-linear optimizer calls to determine the fit of a set of values
"""
mask = setup_phase_mask(data=data, mask=mask, mask_function=self.mask_function,
inner_circular_mask_radii=self.inner_circular_mask_radii)
if self.use_positions and positions is not None:
positions = list(map(lambda position_set: np.asarray(position_set), positions))
elif not self.use_positions:
positions = None
elif self.use_positions and positions is None:
raise exc.PhaseException('You have specified for a phase to use positions, but not input positions to the '
'pipeline when you ran it.')
lens_data = li.LensData(ccd_data=data, mask=mask, sub_grid_size=self.sub_grid_size,
image_psf_shape=self.image_psf_shape, positions=positions)
modified_image = self.modify_image(image=lens_data.image, previous_results=previous_results)
lens_data = lens_data.new_lens_data_with_modified_image(modified_image=modified_image)
self.pass_priors(previous_results)
self.output_phase_info()
analysis = self.__class__.Analysis(lens_data=lens_data, cosmology=self.cosmology,
phase_name=self.phase_name, previous_results=previous_results)
return analysis
def output_phase_info(self):
file_phase_info = "{}/{}/{}".format(conf.instance.output_path, self.phase_name, 'phase.info')
with open(file_phase_info, 'w') as phase_info:
phase_info.write('Optimizer = {} \n'.format(type(self.optimizer).__name__))
phase_info.write('Sub-grid size = {} \n'.format(self.sub_grid_size))
phase_info.write('Image PSF shape = {} \n'.format(self.image_psf_shape))
phase_info.write('Pixelization PSF shape = {} \n'.format(self.pixelization_psf_shape))
phase_info.write('Use positions = {} \n'.format(self.use_positions))
position_threshold = conf.instance.general.get('positions', 'position_threshold', float)
phase_info.write('Positions Threshold = {} \n'.format(position_threshold))
phase_info.write('Cosmology = {} \n'.format(self.cosmology))
phase_info.write('Auto Link Priors = {} \n'.format(self.auto_link_priors))
phase_info.close()
# noinspection PyAbstractClass
class Analysis(Phase.Analysis):
def __init__(self, lens_data, cosmology, phase_name, previous_results=None):
super(PhaseImaging.Analysis, self).__init__(cosmology=cosmology, phase_name=phase_name,
previous_results=previous_results)
self.lens_data = lens_data
self.should_plot_image_plane_pix = \
conf.instance.general.get('output', 'plot_image_plane_adaptive_pixelization_grid', bool)
self.plot_data_as_subplot =\
conf.instance.general.get('output', 'plot_data_as_subplot', bool)
self.plot_data_image = \
conf.instance.general.get('output', 'plot_data_image', bool)
self.plot_data_noise_map = \
conf.instance.general.get('output', 'plot_data_noise_map', bool)
self.plot_data_psf = \
conf.instance.general.get('output', 'plot_data_psf', bool)
self.plot_data_signal_to_noise_map = \
conf.instance.general.get('output', 'plot_data_signal_to_noise_map', bool)
self.plot_lens_fit_all_at_end_png = \
conf.instance.general.get('output', 'plot_lens_fit_all_at_end_png', bool)
self.plot_lens_fit_all_at_end_fits = \
conf.instance.general.get('output', 'plot_lens_fit_all_at_end_fits', bool)
self.plot_lens_fit_as_subplot = \
conf.instance.general.get('output', 'plot_lens_fit_as_subplot', bool)
self.plot_lens_fit_image = \
conf.instance.general.get('output', 'plot_lens_fit_image', bool)
self.plot_lens_fit_noise_map = \
conf.instance.general.get('output', 'plot_lens_fit_noise_map', bool)
self.plot_lens_fit_signal_to_noise_map = \
conf.instance.general.get('output', 'plot_lens_fit_signal_to_noise_map', bool)
self.plot_lens_fit_lens_subtracted_image = \
conf.instance.general.get('output', 'plot_lens_fit_lens_subtracted_image', bool)
self.plot_lens_fit_model_image = \
conf.instance.general.get('output', 'plot_lens_fit_model_image', bool)
self.plot_lens_fit_lens_model_image = \
conf.instance.general.get('output', 'plot_lens_fit_lens_model_image', bool)
self.plot_lens_fit_source_model_image = \
conf.instance.general.get('output', 'plot_lens_fit_source_model_image', bool)
self.plot_lens_fit_source_plane_image = \
conf.instance.general.get('output', 'plot_lens_fit_source_plane_image', bool)
self.plot_lens_fit_residual_map = \
conf.instance.general.get('output', 'plot_lens_fit_residual_map', bool)
self.plot_lens_fit_chi_squared_map = \
conf.instance.general.get('output', 'plot_lens_fit_chi_squared_map', bool)
self.plot_lens_fit_contribution_map = \
conf.instance.general.get('output', 'plot_lens_fit_contribution_map', bool)
def fit(self, instance):
"""
Determine the fit of a lens galaxy and source galaxy to the lens_data in this lens.
Parameters
----------
instance
A model instance with attributes
Returns
-------
fit : Fit
A fractional value indicating how well this model fit and the model lens_data itself
"""
self.check_positions_trace_within_threshold(instance)
tracer = self.tracer_for_instance(instance)
fit = self.fit_for_tracers(tracer=tracer, padded_tracer=None)
return fit.figure_of_merit
def visualize(self, instance, suffix, during_analysis):
self.plot_count += 1
if self.should_plot_mask:
mask = self.lens_data.mask
else:
mask = None
if self.should_plot_positions:
positions = self.lens_data.positions
else:
positions = None
if self.plot_data_as_subplot:
ccd_plotters.plot_ccd_subplot(
ccd_data=self.lens_data.ccd_data, mask=mask, extract_array_from_mask=self.extract_array_from_mask,
zoom_around_mask=self.zoom_around_mask, positions=positions,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
ccd_plotters.plot_ccd_individual(
ccd_data=self.lens_data.ccd_data, mask=mask, extract_array_from_mask=self.extract_array_from_mask,
zoom_around_mask=self.zoom_around_mask, positions=positions,
should_plot_image=self.plot_data_image,
should_plot_noise_map=self.plot_data_noise_map,
should_plot_psf=self.plot_data_psf,
should_plot_signal_to_noise_map=self.plot_data_signal_to_noise_map,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
tracer = self.tracer_for_instance(instance)
padded_tracer = self.padded_tracer_for_instance(instance)
if self.plot_ray_tracing_as_subplot:
ray_tracing_plotters.plot_ray_tracing_subplot(
tracer=tracer, mask=mask, extract_array_from_mask=self.extract_array_from_mask,
zoom_around_mask=self.zoom_around_mask, positions=positions,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
fit = self.fit_for_tracers(tracer=tracer, padded_tracer=padded_tracer)
if self.plot_lens_fit_as_subplot:
lens_fit_plotters.plot_fit_subplot(
fit=fit, should_plot_mask=self.should_plot_mask,
extract_array_from_mask=self.extract_array_from_mask, zoom_around_mask=self.zoom_around_mask,
positions=positions, should_plot_image_plane_pix=self.should_plot_image_plane_pix,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
if during_analysis:
ray_tracing_plotters.plot_ray_tracing_individual(
tracer=tracer, mask=mask, extract_array_from_mask=self.extract_array_from_mask,
zoom_around_mask=self.zoom_around_mask, positions=positions,
should_plot_image_plane_image=self.plot_ray_tracing_image_plane_image,
should_plot_source_plane=self.plot_ray_tracing_source_plane,
should_plot_surface_density=self.plot_ray_tracing_surface_density,
should_plot_potential=self.plot_ray_tracing_potential,
should_plot_deflections=self.plot_ray_tracing_deflections,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
lens_fit_plotters.plot_fit_individuals(
fit=fit, should_plot_mask=self.should_plot_mask,
extract_array_from_mask=self.extract_array_from_mask,zoom_around_mask=self.zoom_around_mask,
positions=positions, should_plot_image_plane_pix=self.should_plot_image_plane_pix,
should_plot_image=self.plot_lens_fit_image,
should_plot_noise_map=self.plot_lens_fit_noise_map,
should_plot_signal_to_noise_map=self.plot_lens_fit_signal_to_noise_map,
should_plot_lens_subtracted_image=self.plot_lens_fit_lens_subtracted_image,
should_plot_model_image=self.plot_lens_fit_model_image,
should_plot_lens_model_image=self.plot_lens_fit_lens_model_image,
should_plot_source_model_image=self.plot_lens_fit_source_model_image,
should_plot_source_plane_image=self.plot_lens_fit_source_plane_image,
should_plot_residual_map=self.plot_lens_fit_residual_map,
should_plot_chi_squared_map=self.plot_lens_fit_chi_squared_map,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
elif not during_analysis:
if self.plot_ray_tracing_all_at_end_png:
ray_tracing_plotters.plot_ray_tracing_individual(
tracer=tracer, mask=mask, extract_array_from_mask=self.extract_array_from_mask,
zoom_around_mask=self.zoom_around_mask, positions=positions,
should_plot_image_plane_image=True,
should_plot_source_plane=True,
should_plot_surface_density=True,
should_plot_potential=True,
should_plot_deflections=True,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
if self.plot_ray_tracing_all_at_end_fits:
ray_tracing_plotters.plot_ray_tracing_individual(
tracer=tracer, mask=mask, extract_array_from_mask=self.extract_array_from_mask,
zoom_around_mask=self.zoom_around_mask, positions=positions,
should_plot_image_plane_image=True,
should_plot_source_plane=True,
should_plot_surface_density=True,
should_plot_potential=True,
should_plot_deflections=True,
output_path=self.output_fits_path, output_format='fits')
if self.plot_lens_fit_all_at_end_png:
lens_fit_plotters.plot_fit_individuals(
fit=fit, should_plot_mask=self.should_plot_mask,
extract_array_from_mask=self.extract_array_from_mask, zoom_around_mask=self.zoom_around_mask,
positions=positions, should_plot_image_plane_pix=self.should_plot_image_plane_pix,
should_plot_image=True,
should_plot_noise_map=True,
should_plot_signal_to_noise_map=True,
should_plot_lens_subtracted_image=True,
should_plot_model_image=True,
should_plot_lens_model_image=True,
should_plot_source_model_image=True,
should_plot_source_plane_image=True,
should_plot_residual_map=True,
should_plot_chi_squared_map=True,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
if self.plot_lens_fit_all_at_end_fits:
lens_fit_plotters.plot_fit_individuals(
fit=fit, should_plot_mask=self.should_plot_mask,
extract_array_from_mask=self.extract_array_from_mask, zoom_around_mask=self.zoom_around_mask,
positions=positions, should_plot_image_plane_pix=self.should_plot_image_plane_pix,
should_plot_image=True,
should_plot_noise_map=True,
should_plot_signal_to_noise_map=True,
should_plot_lens_subtracted_image=True,
should_plot_model_image=True,
should_plot_lens_model_image=True,
should_plot_source_model_image=True,
should_plot_source_plane_image=True,
should_plot_residual_map=True,
should_plot_chi_squared_map=True,
output_path=self.output_fits_path, output_format='fits')
return fit
def fit_for_tracers(self, tracer, padded_tracer):
return lens_fit.fit_lens_data_with_tracer(lens_data=self.lens_data, tracer=tracer,
padded_tracer=padded_tracer)
def check_positions_trace_within_threshold(self, instance):
if self.lens_data.positions is not None:
tracer = ray_tracing.TracerImageSourcePlanesPositions(lens_galaxies=instance.lens_galaxies,
image_plane_positions=self.lens_data.positions)
fit = lens_fit.LensPositionFit(positions=tracer.source_plane.positions,
noise_map=self.lens_data.pixel_scale)
if not fit.maximum_separation_within_threshold(self.position_threshold):
return exc.RayTracingException
def map_to_1d(self, data):
"""Convenience method"""
return self.lens_data.mask.map_2d_array_to_masked_1d_array(data)
class Result(Phase.Result):
def __init__(self, constant, figure_of_merit, variable, analysis, optimizer):
"""
The result of a phase
"""
super(PhaseImaging.Result, self).__init__(constant=constant, figure_of_merit=figure_of_merit,
variable=variable, analysis=analysis, optimizer=optimizer)
class LensPlanePhase(PhaseImaging):
"""
Fit only the lens galaxy light.
"""
lens_galaxies = PhasePropertyCollection("lens_galaxies")
@property
def phase_property_collections(self):
return [self.lens_galaxies]
def __init__(self, phase_name, lens_galaxies=None, optimizer_class=non_linear.MultiNest, sub_grid_size=2,
image_psf_shape=None, mask_function=None, inner_circular_mask_radii=None, cosmology=cosmo.Planck15,
auto_link_priors=False):
super(LensPlanePhase, self).__init__(optimizer_class=optimizer_class,
sub_grid_size=sub_grid_size,
image_psf_shape=image_psf_shape,
mask_function=mask_function,
inner_circular_mask_radii=inner_circular_mask_radii,
cosmology=cosmology,
phase_name=phase_name,
auto_link_priors=auto_link_priors)
self.lens_galaxies = lens_galaxies
class Analysis(PhaseImaging.Analysis):
def __init__(self, lens_data, cosmology, phase_name, previous_results=None):
super(LensPlanePhase.Analysis, self).__init__(lens_data=lens_data, cosmology=cosmology,
phase_name=phase_name, previous_results=previous_results)
def tracer_for_instance(self, instance):
return ray_tracing.TracerImagePlane(lens_galaxies=instance.lens_galaxies,
image_plane_grid_stack=self.lens_data.grid_stack,
cosmology=self.cosmology)
def padded_tracer_for_instance(self, instance):
return ray_tracing.TracerImagePlane(lens_galaxies=instance.lens_galaxies,
image_plane_grid_stack=self.lens_data.padded_grid_stack,
cosmology=self.cosmology)
@classmethod
def log(cls, instance):
logger.debug(
"\nRunning lens lens for... \n\nLens Galaxy::\n{}\n\n".format(instance.lens_galaxies))
class Result(PhaseImaging.Result):
def __init__(self, constant, figure_of_merit, variable, analysis, optimizer):
"""
The result of a phase
"""
super(LensPlanePhase.Result, self).__init__(constant=constant, figure_of_merit=figure_of_merit,
variable=variable, analysis=analysis, optimizer=optimizer)
@property
def unmasked_lens_plane_model_image(self):
return self.most_likely_fit.unmasked_model_image_of_planes[0]
class LensSourcePlanePhase(PhaseImaging):
"""
Fit a simple source and lens system.
"""
lens_galaxies = PhasePropertyCollection("lens_galaxies")
source_galaxies = PhasePropertyCollection("source_galaxies")
@property
def phase_property_collections(self):
return [self.lens_galaxies, self.source_galaxies]
def __init__(self, phase_name, lens_galaxies=None, source_galaxies=None, optimizer_class=non_linear.MultiNest,
sub_grid_size=2, image_psf_shape=None, use_positions=False, mask_function=None,
inner_circular_mask_radii=None, cosmology=cosmo.Planck15, auto_link_priors=False):
"""
A phase with a simple source/lens model
Parameters
----------
lens_galaxies : [g.Galaxy] | [gm.GalaxyModel]
A galaxy that acts as a gravitational lens
source_galaxies: [g.Galaxy] | [gm.GalaxyModel]
A galaxy that is being lensed
optimizer_class: class
The class of a non-linear optimizer
sub_grid_size: int
The side length of the subgrid
"""
super(LensSourcePlanePhase, self).__init__(optimizer_class=optimizer_class,
sub_grid_size=sub_grid_size,
image_psf_shape=image_psf_shape,
use_positions=use_positions,
mask_function=mask_function,
inner_circular_mask_radii=inner_circular_mask_radii,
cosmology=cosmology,
phase_name=phase_name,
auto_link_priors=auto_link_priors)
self.lens_galaxies = lens_galaxies or []
self.source_galaxies = source_galaxies or []
class Analysis(PhaseImaging.Analysis):
def __init__(self, lens_data, cosmology, phase_name, previous_results=None):
super(LensSourcePlanePhase.Analysis, self).__init__(lens_data=lens_data, cosmology=cosmology,
phase_name=phase_name,
previous_results=previous_results)
def tracer_for_instance(self, instance):
return ray_tracing.TracerImageSourcePlanes(lens_galaxies=instance.lens_galaxies,
source_galaxies=instance.source_galaxies,
image_plane_grid_stack=self.lens_data.grid_stack,
border=self.lens_data.border, cosmology=self.cosmology)
def padded_tracer_for_instance(self, instance):
return ray_tracing.TracerImageSourcePlanes(lens_galaxies=instance.lens_galaxies,
source_galaxies=instance.source_galaxies,
image_plane_grid_stack=self.lens_data.padded_grid_stack,
cosmology=self.cosmology)
@classmethod
def log(cls, instance):
logger.debug(
"\nRunning lens/source lens for... \n\nLens Galaxy:\n{}\n\nSource Galaxy:\n{}\n\n".format(
instance.lens_galaxies, instance.source_galaxies))
class Result(PhaseImaging.Result):
def __init__(self, constant, figure_of_merit, variable, analysis, optimizer):
"""
The result of a phase
"""
super(LensSourcePlanePhase.Result, self).__init__(constant=constant, figure_of_merit=figure_of_merit,
variable=variable, analysis=analysis, optimizer=optimizer)
@property
def unmasked_lens_plane_model_image(self):
return self.most_likely_fit.unmasked_model_image_of_planes[0]
@property
def unmasked_source_plane_model_image(self):
return self.most_likely_fit.unmasked_model_image_of_planes[1]
class MultiPlanePhase(PhaseImaging):
"""
Fit a simple source and lens system.
"""
galaxies = PhasePropertyCollection("galaxies")
@property
def phase_property_collections(self):
return [self.galaxies]
def __init__(self, phase_name, galaxies=None, optimizer_class=non_linear.MultiNest,
sub_grid_size=2, image_psf_shape=None, use_positions=False, mask_function=None,
inner_circular_mask_radii=None, cosmology=cosmo.Planck15, auto_link_priors=False):
"""
A phase with a simple source/lens model
Parameters
----------
lens_galaxies : [g.Galaxy] | [gm.GalaxyModel]
A galaxy that acts as a gravitational lens
source_galaxies: [g.Galaxy] | [gm.GalaxyModel]
A galaxy that is being lensed
optimizer_class: class
The class of a non-linear optimizer
sub_grid_size: int
The side length of the subgrid
"""
super(MultiPlanePhase, self).__init__(optimizer_class=optimizer_class,
sub_grid_size=sub_grid_size,
image_psf_shape=image_psf_shape,
use_positions=use_positions,
mask_function=mask_function,
inner_circular_mask_radii=inner_circular_mask_radii,
cosmology=cosmology,
phase_name=phase_name,
auto_link_priors=auto_link_priors)
self.galaxies = galaxies
class Analysis(PhaseImaging.Analysis):
def __init__(self, lens_data, cosmology, phase_name, previous_results=None):
self.lens_data = lens_data
super(MultiPlanePhase.Analysis, self).__init__(lens_data=lens_data, cosmology=cosmology,
phase_name=phase_name, previous_results=previous_results)
def tracer_for_instance(self, instance):
return ray_tracing.TracerMultiPlanes(galaxies=instance.galaxies,
image_plane_grid_stack=self.lens_data.grid_stack,
border=self.lens_data.border, cosmology=self.cosmology)
def padded_tracer_for_instance(self, instance):
return ray_tracing.TracerMultiPlanes(galaxies=instance.galaxies,
image_plane_grid_stack=self.lens_data.padded_grid_stack,
cosmology=self.cosmology)
@classmethod
def log(cls, instance):
logger.debug("\nRunning multi-plane for... \n\nGalaxies:\n{}\n\n".format(instance.galaxies))
class GalaxyFitPhase(AbstractPhase):
galaxies = PhasePropertyCollection("galaxies")
def __init__(self, phase_name, galaxies=None, use_intensities=False, use_surface_density=False, use_potential=False,
use_deflections=False, optimizer_class=non_linear.MultiNest, sub_grid_size=2,
mask_function=None, cosmology=cosmo.Planck15):
"""
A phase in an lens pipeline. Uses the set non_linear optimizer to try to fit models and hyper
passed to it.
Parameters
----------
galaxy_data_class: class<gd.GalaxyData>
optimizer_class: class
The class of a non_linear optimizer
sub_grid_size: int
The side length of the subgrid
"""
super(GalaxyFitPhase, self).__init__(optimizer_class=optimizer_class, cosmology=cosmology,
phase_name=phase_name)
self.use_intensities = use_intensities
self.use_surface_density = use_surface_density
self.use_potential = use_potential
self.use_deflections = use_deflections
self.galaxies = galaxies
self.sub_grid_size = sub_grid_size
self.mask_function = mask_function
def run(self, galaxy_data, previous_results=None, mask=None):
"""
Run this phase.
Parameters
----------
mask: Mask
The default masks passed in by the pipeline
noise_map
array
previous_results: ResultsCollection
An object describing the results of the last phase or None if no phase has been executed
Returns
-------
result: AbstractPhase.Result
A result object comprising the best fit model and other hyper.
"""
analysis = self.make_analysis(galaxy_data=galaxy_data, previous_results=previous_results, mask=mask)
result = self.run_analysis(analysis)
return self.make_result(result, analysis)
def make_analysis(self, galaxy_data, previous_results=None, mask=None):
"""
Create an lens object. Also calls the prior passing and lens_data modifying functions to allow child
classes to change the behaviour of the phase.
Parameters
----------
mask: Mask
The default masks passed in by the pipeline
array
noise_map
previous_results: ResultsCollection
The result from the previous phase
Returns
-------
lens: Analysis
An lens object that the non-linear optimizer calls to determine the fit of a set of values
"""
mask = setup_phase_mask(data=galaxy_data[0], mask=mask, mask_function=self.mask_function,
inner_circular_mask_radii=None)
self.pass_priors(previous_results)
if self.use_intensities or self.use_surface_density or self.use_potential:
galaxy_data = gd.GalaxyFitData(galaxy_data=galaxy_data[0], mask=mask, sub_grid_size=self.sub_grid_size,
use_intensities=self.use_intensities,
use_surface_density=self.use_surface_density,
use_potential=self.use_potential,
use_deflections_y=self.use_deflections,
use_deflections_x=self.use_deflections)
return self.__class__.AnalysisSingle(galaxy_data=galaxy_data, phase_name=self.phase_name,
cosmology=self.cosmology, previous_results=previous_results)
elif self.use_deflections:
galaxy_data_y = gd.GalaxyFitData(galaxy_data=galaxy_data[0], mask=mask, sub_grid_size=self.sub_grid_size,
use_intensities=self.use_intensities,
use_surface_density=self.use_surface_density,
use_potential=self.use_potential,
use_deflections_y=self.use_deflections, use_deflections_x=False)
galaxy_data_x = gd.GalaxyFitData(galaxy_data=galaxy_data[1], mask=mask, sub_grid_size=self.sub_grid_size,
use_intensities=self.use_intensities,
use_surface_density=self.use_surface_density,
use_potential=self.use_potential,
use_deflections_y=False, use_deflections_x=self.use_deflections)
return self.__class__.AnalysisDeflections(galaxy_data_y=galaxy_data_y, galaxy_data_x=galaxy_data_x,
cosmology=self.cosmology, phase_name=self.phase_name,
previous_results=previous_results)
class Analysis(Phase.Analysis):
def __init__(self, cosmology, phase_name, previous_results):
super(GalaxyFitPhase.Analysis, self).__init__(cosmology=cosmology, phase_name=phase_name,
previous_results=previous_results)
self.plot_galaxy_fit_all_at_end_png = \
conf.instance.general.get('output', 'plot_galaxy_fit_all_at_end_png', bool)
self.plot_galaxy_fit_all_at_end_fits = \
conf.instance.general.get('output', 'plot_galaxy_fit_all_at_end_fits', bool)
self.plot_galaxy_fit_as_subplot = \
conf.instance.general.get('output', 'plot_galaxy_fit_as_subplot', bool)
self.plot_galaxy_fit_image = \
conf.instance.general.get('output', 'plot_galaxy_fit_image', bool)
self.plot_galaxy_fit_noise_map = \
conf.instance.general.get('output', 'plot_galaxy_fit_noise_map', bool)
self.plot_galaxy_fit_model_image = \
conf.instance.general.get('output', 'plot_galaxy_fit_model_image', bool)
self.plot_galaxy_fit_residual_map = \
conf.instance.general.get('output', 'plot_galaxy_fit_residual_map', bool)
self.plot_galaxy_fit_chi_squared_map = \
conf.instance.general.get('output', 'plot_galaxy_fit_chi_squared_map', bool)
@classmethod
def log(cls, instance):
logger.debug(
"\nRunning galaxy fit for... \n\nGalaxies::\n{}\n\n".format(instance.galaxies))
# noinspection PyAbstractClass
class AnalysisSingle(Analysis):
def __init__(self, galaxy_data, cosmology, phase_name, previous_results=None):
super(GalaxyFitPhase.AnalysisSingle, self).__init__(cosmology=cosmology, phase_name=phase_name,
previous_results=previous_results)
self.galaxy_data = galaxy_data
def fit(self, instance):
fit = self.fit_for_instance(instance=instance)
return fit.figure_of_merit
def visualize(self, instance, suffix, during_analysis):
self.plot_count += 1
fit = self.fit_for_instance(instance=instance)
if self.plot_galaxy_fit_as_subplot:
galaxy_fit_plotters.plot_fit_subplot(
fit=fit, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
if during_analysis:
galaxy_fit_plotters.plot_fit_individuals(
fit=fit, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
should_plot_image=self.plot_galaxy_fit_image,
should_plot_noise_map=self.plot_galaxy_fit_noise_map,
should_plot_model_image=self.plot_galaxy_fit_model_image,
should_plot_residual_map=self.plot_galaxy_fit_residual_map,
should_plot_chi_squared_map=self.plot_galaxy_fit_chi_squared_map,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
elif not during_analysis:
if self.plot_ray_tracing_all_at_end_png:
galaxy_fit_plotters.plot_fit_individuals(
fit=fit, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
should_plot_image=True,
should_plot_noise_map=True,
should_plot_model_image=True,
should_plot_residual_map=True,
should_plot_chi_squared_map=True,
units=self.plot_units,
output_path=self.output_image_path, output_format='png')
if self.plot_ray_tracing_all_at_end_fits:
galaxy_fit_plotters.plot_fit_individuals(
fit=fit, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
should_plot_image=True,
should_plot_noise_map=True,
should_plot_model_image=True,
should_plot_residual_map=True,
should_plot_chi_squared_map=True,
units=self.plot_units,
output_path=self.output_fits_path, output_format='fits')
return fit
def fit_for_instance(self, instance):
"""
Determine the fit of a lens galaxy and source galaxy to the lens_data in this lens.
Parameters
----------
instance
A model instance with attributes
Returns
-------
fit: Fit
A fractional value indicating how well this model fit and the model lens_data itself
"""
return galaxy_fit.GalaxyFit(galaxy_data=self.galaxy_data, model_galaxies=instance.galaxies)
# noinspection PyAbstractClass
class AnalysisDeflections(Analysis):
def __init__(self, galaxy_data_y, galaxy_data_x, cosmology, phase_name, previous_results=None):
super(GalaxyFitPhase.AnalysisDeflections, self).__init__(cosmology=cosmology, phase_name=phase_name,
previous_results=previous_results)
self.galaxy_data_y = galaxy_data_y
self.galaxy_data_x = galaxy_data_x
self.output_image_y_path = "{}/image/fit_y_".format(self.phase_output_path)
self.output_fits_y_path = "{}/image/fits/fit_y".format(self.phase_output_path)
self.output_image_x_path = "{}/image/fit_x_".format(self.phase_output_path)
self.output_fits_x_path = "{}/image/fits/fit_x".format(self.phase_output_path)
def fit(self, instance):
fit_y, fit_x = self.fit_for_instance(instance=instance)
return fit_y.figure_of_merit + fit_x.figure_of_merit
def visualize(self, instance, suffix, during_analysis):
self.plot_count += 1
fit_y, fit_x = self.fit_for_instance(instance=instance)
if self.plot_galaxy_fit_as_subplot:
galaxy_fit_plotters.plot_fit_subplot(
fit=fit_y, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
units=self.plot_units,
output_path=self.output_image_y_path, output_format='png')
galaxy_fit_plotters.plot_fit_subplot(
fit=fit_x, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
units=self.plot_units,
output_path=self.output_image_x_path, output_format='png')
if during_analysis:
galaxy_fit_plotters.plot_fit_individuals(
fit=fit_y, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
should_plot_image=self.plot_galaxy_fit_image,
should_plot_noise_map=self.plot_galaxy_fit_noise_map,
should_plot_model_image=self.plot_galaxy_fit_model_image,
should_plot_residual_map=self.plot_galaxy_fit_residual_map,
should_plot_chi_squared_map=self.plot_galaxy_fit_chi_squared_map,
units=self.plot_units,
output_path=self.output_image_y_path, output_format='png')
galaxy_fit_plotters.plot_fit_individuals(
fit=fit_x, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
should_plot_image=self.plot_galaxy_fit_image,
should_plot_noise_map=self.plot_galaxy_fit_noise_map,
should_plot_model_image=self.plot_galaxy_fit_model_image,
should_plot_residual_map=self.plot_galaxy_fit_residual_map,
should_plot_chi_squared_map=self.plot_galaxy_fit_chi_squared_map,
units=self.plot_units,
output_path=self.output_image_x_path, output_format='png')
elif not during_analysis:
if self.plot_ray_tracing_all_at_end_png:
galaxy_fit_plotters.plot_fit_individuals(
fit=fit_y, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
should_plot_image=True,
should_plot_noise_map=True,
should_plot_model_image=True,
should_plot_residual_map=True,
should_plot_chi_squared_map=True,
units=self.plot_units,
output_path=self.output_image_y_path, output_format='png')
galaxy_fit_plotters.plot_fit_individuals(
fit=fit_x, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
should_plot_image=True,
should_plot_noise_map=True,
should_plot_model_image=True,
should_plot_residual_map=True,
should_plot_chi_squared_map=True,
units=self.plot_units,
output_path=self.output_image_x_path, output_format='png')
if self.plot_ray_tracing_all_at_end_fits:
galaxy_fit_plotters.plot_fit_individuals(
fit=fit_y, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
should_plot_image=True,
should_plot_noise_map=True,
should_plot_model_image=True,
should_plot_residual_map=True,
should_plot_chi_squared_map=True,
units=self.plot_units,
output_path=self.output_fits_y_path, output_format='fits')
galaxy_fit_plotters.plot_fit_individuals(
fit=fit_x, should_plot_mask=self.should_plot_mask, zoom_around_mask=self.zoom_around_mask,
should_plot_image=True,
should_plot_noise_map=True,
should_plot_model_image=True,
should_plot_residual_map=True,
should_plot_chi_squared_map=True,
units=self.plot_units,
output_path=self.output_fits_x_path, output_format='fits')
return fit_y, fit_x
def fit_for_instance(self, instance):
fit_y = galaxy_fit.GalaxyFit(galaxy_data=self.galaxy_data_y, model_galaxies=instance.galaxies)
fit_x = galaxy_fit.GalaxyFit(galaxy_data=self.galaxy_data_x, model_galaxies=instance.galaxies)
return fit_y, fit_x
class Result(Phase.Result):
def __init__(self, constant, figure_of_merit, variable, analysis, optimizer):
"""
The result of a phase
"""
super(GalaxyFitPhase.Result, self).__init__(constant=constant, figure_of_merit=figure_of_merit,
variable=variable, analysis=analysis, optimizer=optimizer)
class SensitivityPhase(PhaseImaging):
lens_galaxies = PhasePropertyCollection("lens_galaxies")
source_galaxies = PhasePropertyCollection("source_galaxies")
sensitive_galaxies = PhasePropertyCollection("sensitive_galaxies")
def __init__(self, phase_name, lens_galaxies=None, source_galaxies=None, sensitive_galaxies=None,
optimizer_class=non_linear.MultiNest, sub_grid_size=2, mask_function=None,
cosmology=cosmo.Planck15):
"""
A phase in an lens pipeline. Uses the set non_linear optimizer to try to fit models and hyper
passed to it.
Parameters
----------
optimizer_class: class
The class of a non_linear optimizer
sub_grid_size: int
The side length of the subgrid
"""
super(SensitivityPhase, self).__init__(optimizer_class=optimizer_class, sub_grid_size=sub_grid_size,
mask_function=mask_function, cosmology=cosmology,
phase_name=phase_name)
self.lens_galaxies = lens_galaxies or []
self.source_galaxies = source_galaxies or []
self.sensitive_galaxies = sensitive_galaxies or []
# noinspection PyAbstractClass
class Analysis(PhaseImaging.Analysis):
def __init__(self, lens_data, cosmology, phase_name, previous_results=None):
self.lens_data = lens_data
super(PhaseImaging.Analysis, self).__init__(cosmology=cosmology, phase_name=phase_name,
previous_results=previous_results)
def fit(self, instance):
"""
Determine the fit of a lens galaxy and source galaxy to the lens_data in this lens.
Parameters
----------
instance
A model instance with attributes
Returns
-------
fit: Fit
A fractional value indicating how well this model fit and the model lens_data itself
"""
tracer_normal = self.tracer_normal_for_instance(instance)
tracer_sensitive = self.tracer_sensitive_for_instance(instance)
fit = self.fit_for_tracers(tracer_normal=tracer_normal, tracer_sensitive=tracer_sensitive)
return fit.figure_of_merit
def visualize(self, instance, suffix, during_analysis):
self.plot_count += 1
tracer_normal = self.tracer_normal_for_instance(instance)
tracer_sensitive = self.tracer_sensitive_for_instance(instance)
fit = self.fit_for_tracers(tracer_normal=tracer_normal, tracer_sensitive=tracer_sensitive)
ccd_plotters.plot_ccd_subplot(ccd_data=self.lens_data.ccd_data, mask=self.lens_data.mask,
positions=self.lens_data.positions,
output_path=self.output_image_path, output_format='png')
ccd_plotters.plot_ccd_individual(ccd_data=self.lens_data.ccd_data, mask=self.lens_data.mask,
positions=self.lens_data.positions,
output_path=self.output_image_path,
output_format='png')
ray_tracing_plotters.plot_ray_tracing_subplot(tracer=tracer_normal, output_path=self.output_image_path,
output_format='png', output_filename='tracer_normal')
ray_tracing_plotters.plot_ray_tracing_subplot(tracer=tracer_sensitive, output_path=self.output_image_path,
output_format='png', output_filename='tracer_sensitive')
sensitivity_fit_plotters.plot_fit_subplot(fit=fit, output_path=self.output_image_path, output_format='png')
return fit
def tracer_normal_for_instance(self, instance):
return ray_tracing.TracerImageSourcePlanes(lens_galaxies=instance.lens_galaxies,
source_galaxies=instance.source_galaxies,
image_plane_grid_stack=self.lens_data.grid_stack,
border=self.lens_data.border)
def tracer_sensitive_for_instance(self, instance):
return ray_tracing.TracerImageSourcePlanes(
lens_galaxies=instance.lens_galaxies + instance.sensitive_galaxies,
source_galaxies=instance.source_galaxies,
image_plane_grid_stack=self.lens_data.grid_stack,
border=self.lens_data.border)
def fit_for_tracers(self, tracer_normal, tracer_sensitive):
return sensitivity_fit.fit_lens_data_with_sensitivity_tracers(lens_data=self.lens_data,
tracer_normal=tracer_normal,
tracer_sensitive=tracer_sensitive)
@classmethod
def log(cls, instance):
logger.debug(
"\nRunning lens/source lens for... \n\nLens Galaxy:\n{}\n\nSource Galaxy:\n{}\n\n Sensitive "
"Galaxy\n{}\n\n "
"".format(instance.lens_galaxies, instance.source_galaxies, instance.sensitive_galaxies))
class HyperAnalysis(object):
def __init__(self):
pass
def make_path_if_does_not_exist(path):
if not os.path.exists(path):
os.makedirs(path)
| 45.552597 | 120 | 0.617027 | 7,632 | 68,420 | 5.157495 | 0.049528 | 0.035313 | 0.017784 | 0.024592 | 0.797393 | 0.758066 | 0.72194 | 0.689396 | 0.642676 | 0.603552 | 0 | 0.001065 | 0.313899 | 68,420 | 1,501 | 121 | 45.582945 | 0.837441 | 0.124905 | 0 | 0.523645 | 0 | 0.002307 | 0.042811 | 0.018738 | 0 | 0 | 0 | 0 | 0 | 1 | 0.116494 | false | 0.008074 | 0.020761 | 0.032295 | 0.249135 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 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 | 3 |
b5efcf9589973cda7ad5bade65c671818f195949 | 237 | py | Python | robot_control/robot_control/ignition/vehicle.py | blakermchale/robot-control | b2d0109950d5abb4b12055ce7a3645ca9cc07b20 | [
"MIT"
] | null | null | null | robot_control/robot_control/ignition/vehicle.py | blakermchale/robot-control | b2d0109950d5abb4b12055ce7a3645ca9cc07b20 | [
"MIT"
] | 4 | 2021-06-29T05:14:13.000Z | 2021-08-11T05:00:44.000Z | robot_control/robot_control/ignition/vehicle.py | blakermchale/robot-control | b2d0109950d5abb4b12055ce7a3645ca9cc07b20 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from robot_control.abstract_vehicle import AVehicle
class Vehicle(AVehicle):
def __init__(self, instance=0):
super().__init__(instance=instance)
self.get_logger().debug("Vehicle initialized")
| 23.7 | 54 | 0.725738 | 29 | 237 | 5.551724 | 0.758621 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005 | 0.156118 | 237 | 9 | 55 | 26.333333 | 0.8 | 0.084388 | 0 | 0 | 0 | 0 | 0.087963 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
b5f6ccd17210b5d97832f68468ea2ab28de09ecd | 23 | py | Python | logic/__init__.py | tingxin/DevIoT_IndoorLocation_Starter_Kit | df03b664f87eba77bb7ad6ed7ed53a97b6365e48 | [
"Apache-2.0"
] | null | null | null | logic/__init__.py | tingxin/DevIoT_IndoorLocation_Starter_Kit | df03b664f87eba77bb7ad6ed7ed53a97b6365e48 | [
"Apache-2.0"
] | 1 | 2016-11-05T20:18:36.000Z | 2016-11-08T10:40:17.000Z | sensors/__init__.py | tingxin/DevIoT_RaspberryPi_Starter_Kit | 2ee0b4027e366fc9715e35c08eaac7a9bcc49bc7 | [
"Apache-2.0"
] | null | null | null | __author__ = 'tingxxu'
| 11.5 | 22 | 0.73913 | 2 | 23 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 23 | 1 | 23 | 23 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
bd0435cf428dd88d2e05b070bb8e822e50ab28f2 | 412 | py | Python | django_c/frm_b/mdl_frm/admin.py | mohammad716e/python_training | 0654623c603c775ed2cbdc3919dc815891c8fdeb | [
"MIT"
] | null | null | null | django_c/frm_b/mdl_frm/admin.py | mohammad716e/python_training | 0654623c603c775ed2cbdc3919dc815891c8fdeb | [
"MIT"
] | null | null | null | django_c/frm_b/mdl_frm/admin.py | mohammad716e/python_training | 0654623c603c775ed2cbdc3919dc815891c8fdeb | [
"MIT"
] | null | null | null | from django.contrib import admin
from mdl_frm.models import subscriber
# Register your models here.
admin.site.register(subscriber)
'''(django_env_1) A:\ARC\PRJ\PY\python_training\django_c\frm_b>python manage.py createsuperuser
Username (leave blank to use 'adminone'): developer
Email address: mmohammadianxdev@gmail.com
Password: 147741147zxc
Password (again): 147741147zxc
Superuser created successfully. ''' | 37.454545 | 95 | 0.817961 | 56 | 412 | 5.910714 | 0.767857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050667 | 0.089806 | 412 | 11 | 96 | 37.454545 | 0.832 | 0.063107 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.666667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
bd2f5dd244936acac81364d868b7393ac3abebae | 186 | py | Python | log_errors/models.py | erickdom/restAndroid | 87ae8cfb5a4ddc207ab7b2d4e9548d316db14ad0 | [
"Apache-2.0"
] | null | null | null | log_errors/models.py | erickdom/restAndroid | 87ae8cfb5a4ddc207ab7b2d4e9548d316db14ad0 | [
"Apache-2.0"
] | null | null | null | log_errors/models.py | erickdom/restAndroid | 87ae8cfb5a4ddc207ab7b2d4e9548d316db14ad0 | [
"Apache-2.0"
] | null | null | null | from django.db import models
class Log_Errors(models.Model):
error = models.TextField()
error_human = models.TextField()
date_time = models.DateTimeField(auto_now_add=True) | 26.571429 | 55 | 0.752688 | 25 | 186 | 5.4 | 0.76 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.150538 | 186 | 7 | 55 | 26.571429 | 0.85443 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
bd4e50eafccd9f7e3f57039e69696249447a460d | 570 | py | Python | perftest/read_large_file.py | alinabi/pyhecdss | fb94a0cd1bbc0add873eeb1c91b016d5006424de | [
"MIT"
] | 18 | 2019-09-04T17:42:15.000Z | 2021-11-15T12:16:24.000Z | perftest/read_large_file.py | alinabi/pyhecdss | fb94a0cd1bbc0add873eeb1c91b016d5006424de | [
"MIT"
] | 27 | 2019-09-04T14:55:36.000Z | 2021-12-08T01:36:08.000Z | perftest/read_large_file.py | alinabi/pyhecdss | fb94a0cd1bbc0add873eeb1c91b016d5006424de | [
"MIT"
] | 5 | 2019-09-04T21:49:22.000Z | 2022-03-24T13:41:16.000Z | import pyhecdss
import datetime
if __name__=='__main__':
pyhecdss.set_message_level(0)
d=pyhecdss.DSSFile('./ITP_PP_out_ec.dss')
s=datetime.datetime.now()
catdf=d.read_catalog()
print('catalog read in :', datetime.datetime.now()-s )
plist=d.get_pathnames()
print('Reading ',len(plist),'...')
s=datetime.datetime.now()
for path in plist:
si=datetime.datetime.now()
df,u,p=d.read_rts(path)
print('read ',path,' in ',datetime.datetime.now()-si)
print('read all in ',datetime.datetime.now()-s)
| 33.529412 | 62 | 0.633333 | 79 | 570 | 4.367089 | 0.468354 | 0.278261 | 0.330435 | 0.182609 | 0.127536 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002193 | 0.2 | 570 | 16 | 63 | 35.625 | 0.754386 | 0 | 0 | 0.125 | 0 | 0 | 0.137184 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.25 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
bd550a4735583e2c6691187540b8e40f2fc9135f | 13,794 | py | Python | tests/test_user_pays_for_booking_endpoint.py | chidioguejiofor/airtech-api | 45d77da0cc4230dd3cb7ab4cbb5168a9239850f5 | [
"MIT"
] | 1 | 2019-04-04T12:27:55.000Z | 2019-04-04T12:27:55.000Z | tests/test_user_pays_for_booking_endpoint.py | chidioguejiofor/airtech-api | 45d77da0cc4230dd3cb7ab4cbb5168a9239850f5 | [
"MIT"
] | 34 | 2019-03-26T11:18:17.000Z | 2022-02-10T08:12:36.000Z | tests/test_user_pays_for_booking_endpoint.py | chidioguejiofor/airtech-api | 45d77da0cc4230dd3cb7ab4cbb5168a9239850f5 | [
"MIT"
] | null | null | null | import pytest
import requests
from airtech_api.utils import success_messages
from mock import Mock
from airtech_api.utils.constants import PAYSTACK_INITIALIZE_URL
from airtech_api.utils.error_messages import serialization_errors
from airtech_api.booking.models import Booking
from django.utils import timezone
from tests.helpers.assertion_helpers import assert_missing_header, assert_invalid_token_format
from datetime import datetime
from dateutil.parser import parse
USER_BOOKING_URL = '/api/v1/user/bookings/{}/payment'
class RequestsResponseMock:
def __init__(self,
status_code,
raise_exception=False,
exception_msg='An error occured',
**kwargs):
if raise_exception:
raise Exception(exception_msg)
self._json = kwargs
self.status_code = status_code
def json(self):
return self._json
@pytest.mark.django_db
class TestPayForFlightTicketRoute:
def test_user_pays_for_booking_ticket_succeeds(
self, client, valid_user_one_token, saved_valid_user_one,
saved_bulk_inserted_bookings_for_user_one):
booking = saved_bulk_inserted_bookings_for_user_one[0]
booking.paid_at = None
booking.save()
paystack_res_mock = {
'status': True,
'data': {
'status': 'success',
'gateway_response': 'Payment was made to account',
'metadata': {
'callbackURL': 'https://test.com',
'bookingId': 'booking-UUID'
},
}
}
paystack_res_mock = {
'status': True,
'data': {
'authorization_url': 'http://payment-link.com',
}
}
paystack_response = RequestsResponseMock(200, False,
**paystack_res_mock)
requests.post = Mock(return_value=paystack_response)
client_callback = 'https://test.com'
response = client.post(
USER_BOOKING_URL.format(booking.id),
content_type='application/json',
HTTP_AUTHORIZATION='Bearer {}'.format(valid_user_one_token),
data={
'callbackURL': client_callback,
})
response_body = response.data
response_data = response_body['data']
(url, ), res = requests.post.call_args
data = res['data']
# Reqeust Assetions
assert response.status_code == 200
assert response_body['status'] == 'success'
assert response_body['message'] == success_messages[
'payment_url_created']
assert response_data['paymentLink'] == paystack_res_mock['data'][
'authorization_url']
metadata = eval(data['metadata'])
# Post call assertions
assert url == PAYSTACK_INITIALIZE_URL
assert data['amount'] == booking.ticket_price
assert data['email'] == booking.created_by.email
assert metadata['callbackURL'] == client_callback
assert metadata['bookingId'] == str(booking.id)
assert metadata['username'] == saved_valid_user_one.username
assert metadata['email'] == saved_valid_user_one.email
def test_user_pays_for_ticket_that_has_already_been_bought_fails(
self, client, valid_user_one_token,
saved_bulk_inserted_bookings_for_user_one):
booking = saved_bulk_inserted_bookings_for_user_one[0]
booking.paid_at = timezone.now()
booking.save()
paystack_res_mock = {
'status': True,
'data': {
'authorization_url': 'http://payment-link.com',
}
}
paystack_response = RequestsResponseMock(200, False,
**paystack_res_mock)
requests.post = Mock(return_value=paystack_response)
client_callback = 'https://test.com'
response = client.post(
USER_BOOKING_URL.format(booking.id),
content_type='application/json',
HTTP_AUTHORIZATION='Bearer {}'.format(valid_user_one_token),
data={
'callbackURL': client_callback,
})
response_body = response.data
# Reqeust Assetions
assert response.status_code == 400
assert response_body['status'] == 'error'
assert response_body['message'] == serialization_errors[
'booking_already_paid']
assert requests.post.called is False
def test_user_pays_for_ticket_that_is_expired_fails(
self, client, valid_user_one_token, expired_booking):
paystack_res_mock = {
'status': True,
'data': {
'authorization_url': 'http://payment-link.com',
}
}
paystack_response = RequestsResponseMock(200, False,
**paystack_res_mock)
requests.post = Mock(return_value=paystack_response)
client_callback = 'https://test.com'
response = client.post(
USER_BOOKING_URL.format(expired_booking.id),
content_type='application/json',
HTTP_AUTHORIZATION='Bearer {}'.format(valid_user_one_token),
data={
'callbackURL': client_callback,
})
response_body = response.data
# Reqeust Assetions
assert response.status_code == 400
assert response_body['status'] == 'error'
assert response_body['message'] == serialization_errors[
'booking_expired']
assert requests.post.called is False
def test_make_payment_with_invalid_callback_url_fails(
self, client, valid_user_one_token,
saved_bulk_inserted_bookings_for_user_one):
booking = saved_bulk_inserted_bookings_for_user_one[0]
paystack_res_mock = {
'status': True,
'data': {
'authorization_url': 'http://payment-link.com',
}
}
paystack_response = RequestsResponseMock(200, False,
**paystack_res_mock)
requests.post = Mock(return_value=paystack_response)
client_callback = 'utc://test.com'
response = client.post(
USER_BOOKING_URL.format(booking.id),
content_type='application/json',
HTTP_AUTHORIZATION='Bearer {}'.format(valid_user_one_token),
data={
'callbackURL': client_callback,
})
response_body = response.data
# Reqeust Assetions
assert response.status_code == 400
assert response_body['status'] == 'error'
assert response_body['message'] == serialization_errors[
'invalid_url'].format('callbackURL')
assert requests.post.called is False
def test_payment_fails_when_paystack_throws_an_error(
self, client, valid_user_one_token,
saved_bulk_inserted_bookings_for_user_one):
booking = saved_bulk_inserted_bookings_for_user_one[0]
requests.post = Mock(return_value=Exception())
client_callback = 'https://test.com'
response = client.post(
USER_BOOKING_URL.format(booking.id),
content_type='application/json',
HTTP_AUTHORIZATION='Bearer {}'.format(valid_user_one_token),
data={
'callbackURL': client_callback,
})
response_body = response.data
# Reqeust Assetions
assert response.status_code == 400
assert response_body['status'] == 'error'
assert response_body['message'] == serialization_errors[
'payment_link_error']
assert requests.post.called
def test_make_payment_without_invalid_token_fails(
self, client, saved_bulk_inserted_bookings_for_user_one):
booking = saved_bulk_inserted_bookings_for_user_one[0]
response = client.post(
USER_BOOKING_URL.format(booking.id),
content_type='application/json',
HTTP_AUTHORIZATION='{}'.format('invalid-token'),
)
assert_invalid_token_format(response)
def test_make_payment_with_missing_token_fails(
self, client, saved_bulk_inserted_bookings_for_user_one):
booking = saved_bulk_inserted_bookings_for_user_one[0]
response = client.post(
USER_BOOKING_URL.format(booking.id),
content_type='application/json',
)
assert_missing_header(response)
@pytest.mark.django_db
class TestPaymentRedirectRoute:
def test_get_call_raises_an_exception(
self, client, saved_bulk_inserted_bookings_for_user_one):
booking = saved_bulk_inserted_bookings_for_user_one[0]
requests.get = Mock(side_effect=Exception())
response = client.get(
USER_BOOKING_URL.format(booking.id) + '?reference=blah')
assert response.status_code == 400
assert response.data['status'] == 'error'
assert response.data['message'] == \
serialization_errors['paystack_threw_error']
def test_paystack_returns_failure_when_verifying_user(
self, client, saved_bulk_inserted_bookings_for_user_one):
booking = saved_bulk_inserted_bookings_for_user_one[0]
booking.paid_at = None
booking.save()
payment_time = datetime.now()
client_callback = 'https://test.com'
paystack_res_mock = {
'status': False,
'data': {
'status': 'failure',
'gateway_response': 'Payment was made to account',
'paid_at': payment_time,
'metadata': {
'callbackURL': client_callback,
'bookingId': str(booking.id)
},
}
}
paystack_response = RequestsResponseMock(200, False,
**paystack_res_mock)
requests.get = Mock(return_value=paystack_response)
reference_mock = 'reference-101'
response = client.get(
USER_BOOKING_URL.format(booking.id) +
f'?reference={reference_mock}', )
query_params = {
query.split('=')[0]: query.split('=')[1]
for query in response.url.split('?')[1].split('&')
}
assert response.status_code == 303
assert response.url.startswith(client_callback)
assert query_params['success'] == 'false'
assert query_params['bookingId'] == str(booking.id)
def test_paystack_returns_insufficient_funds_error(
self, client, saved_bulk_inserted_bookings_for_user_one):
booking = saved_bulk_inserted_bookings_for_user_one[0]
booking.paid_at = None
booking.save()
payment_time = datetime.now()
client_callback = 'https://test.com'
paystack_res_mock = {
'status': True,
'data': {
'status': 'failure',
'gateway_response': 'Insufficient funds',
'paid_at': payment_time,
'metadata': {
'callbackURL': client_callback,
'bookingId': str(booking.id)
},
}
}
paystack_response = RequestsResponseMock(200, False,
**paystack_res_mock)
requests.get = Mock(return_value=paystack_response)
reference_mock = 'reference-101'
response = client.get(
USER_BOOKING_URL.format(booking.id) +
f'?reference={reference_mock}', )
query_params = {
query.split('=')[0]: query.split('=')[1]
for query in response.url.split('?')[1].split('&')
}
assert response.status_code == 303
assert response.url.startswith(client_callback)
assert query_params['success'] == 'false'
assert query_params['bookingId'] == str(booking.id)
def test_successful_payment_redirects_user_succeeds(
self, client, valid_user_one_token, saved_valid_user_one,
saved_bulk_inserted_bookings_for_user_one):
booking = saved_bulk_inserted_bookings_for_user_one[0]
booking.paid_at = None
booking.save()
payment_time = timezone.now()
client_callback = 'https://test.com'
paystack_res_mock = {
'status': True,
'data': {
'status': 'success',
'gateway_response': 'Payment was made to account',
'paid_at': payment_time,
'metadata': {
'callbackURL': client_callback,
'bookingId': str(booking.id)
},
}
}
paystack_response = RequestsResponseMock(200, False,
**paystack_res_mock)
requests.get = Mock(return_value=paystack_response)
reference_mock = 'sample-reference'
response = client.get(
USER_BOOKING_URL.format(booking.id) +
f'?reference={reference_mock}',
# content_type='application/json',
)
query_params = {
query.split('=')[0]: query.split('=')[1]
for query in response.url.split('?')[1].split('&')
}
booking = Booking.objects.get(pk=booking.id)
# Reqeust Assetions
assert response.status_code == 303
assert query_params['success'] == 'true'
assert query_params['bookingId'] == str(booking.id)
assert response.url.startswith(client_callback)
assert booking.paid_at == payment_time
| 37.281081 | 94 | 0.597941 | 1,388 | 13,794 | 5.600865 | 0.116715 | 0.031515 | 0.043736 | 0.064317 | 0.744019 | 0.720093 | 0.71379 | 0.681502 | 0.665423 | 0.659506 | 0 | 0.007737 | 0.306655 | 13,794 | 369 | 95 | 37.382114 | 0.805102 | 0.011672 | 0 | 0.654952 | 0 | 0 | 0.113403 | 0.008294 | 0 | 0 | 0 | 0 | 0.146965 | 1 | 0.041534 | false | 0 | 0.035144 | 0.003195 | 0.089457 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 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 | 3 |
1fd0fb4dd2db013d543f097f1f61e2ce2b6b1812 | 2,117 | py | Python | simulation/models/diet_models.py | BenLatham/Agricultural-Simulation | 23ae2c6ae2ae6d0b1ca318c6e4543ccbe40a0039 | [
"MIT"
] | null | null | null | simulation/models/diet_models.py | BenLatham/Agricultural-Simulation | 23ae2c6ae2ae6d0b1ca318c6e4543ccbe40a0039 | [
"MIT"
] | 5 | 2016-07-08T12:05:31.000Z | 2016-07-08T17:31:23.000Z | simulation/models/diet_models.py | BenLatham/FLOSS-Agricultural-Simulation | 23ae2c6ae2ae6d0b1ca318c6e4543ccbe40a0039 | [
"MIT"
] | null | null | null | from django.db import models
from .general_models import ScenarioSpecificBase
from django.forms.models import model_to_dict
class Feed(ScenarioSpecificBase):
me = models.FloatField()
fme = models.FloatField()
erdp = models.FloatField()
dup = models.FloatField()
adf = models.FloatField()
price = models.FloatField(null=True)
avaliable = models.FloatField(null=True)
feed_type = models.ForeignKey('FeedType')
maxInclusion = models.FloatField(null=True)
@property
def qm_ruminant(self):
"""
Yan+agnew 2004
:return: ratio of metabolisable energy to gross energy
"""
return (-0.000796 * self.adf) + 0.827
aggregable = ["me", "fme", "erdp", "dup", "adf", "price", "qm_ruminant"] # fields which can be meaningfully aggregated
def to_dict(self):
dict = model_to_dict(self)
dict["feed_type"]=self.feed_type.id
dict["qm_ruminant"]=self.qm_ruminant()
return dict
class FeedType(ScenarioSpecificBase):
minInclusion = models.FloatField(null=True)
maxInclusion = models.FloatField(null=True)
def to_dict(self):
dict ={}
dict["id"]=self.id
dict["minInclusion"]=self.minInclusion
dict["maxInclusion"]=self.maxInclusion
return dict
# class BreedDetails(models.Model):
# breed = models.CharField(max_length=20, unique=True)
#
# # Fox et. al. 1998
# MM = models.FloatField(null=True) # maintenance multiplier non-lactating
# MML = models.FloatField(null=True) # maintenance multiplier lactating
# BW = models.FloatField(null=True) # Calf Birth Weight kg
# peak_yield = models.FloatField(null=True) # Average peak milk yield kg
# BW_adjustment_Q1 = models.FloatField(null=True) # Q1 Birth weight adjustment/age of dam yr
# BW_adjustment_Q2 = models.FloatField(null=True) # Q2 Birth weight adjustment/age of dam yr
# BW_adjustment_Q3 = models.FloatField(null=True) # Q3 Birth weight adjustment/age of dam yr
# BW_adjustment_Q4 = models.FloatField(null=True) # Q4 Birth weight adjustment/age of dam yr
| 35.881356 | 123 | 0.684459 | 263 | 2,117 | 5.418251 | 0.330798 | 0.202105 | 0.182456 | 0.218947 | 0.249825 | 0.175439 | 0.112281 | 0.090526 | 0.090526 | 0 | 0 | 0.017272 | 0.206897 | 2,117 | 58 | 124 | 36.5 | 0.831447 | 0.422296 | 0 | 0.193548 | 0 | 0 | 0.07265 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0.096774 | 0 | 0.741935 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
1ff4ac19544bf86a8a7056f1e4301ad5c7792ec3 | 5,579 | py | Python | src/utils/print_code.py | BeginnerCompilers/cool-compiler-2021 | fe8c4dbbbaff9dc855322c2df2892dcfc5d449f9 | [
"MIT"
] | null | null | null | src/utils/print_code.py | BeginnerCompilers/cool-compiler-2021 | fe8c4dbbbaff9dc855322c2df2892dcfc5d449f9 | [
"MIT"
] | null | null | null | src/utils/print_code.py | BeginnerCompilers/cool-compiler-2021 | fe8c4dbbbaff9dc855322c2df2892dcfc5d449f9 | [
"MIT"
] | null | null | null | import cmp.visitor as visitor
from utils.ast.AST_Nodes import ast_nodes as nodes
class PrintCode:
@visitor.on('node')
def visit(self, node, tabs = 0):
pass
@visitor.when(nodes.ProgramNode)
def visit(self, node, tabs = 0):
return '\n'.join(self.visit(dec, tabs) for dec in node.declarations)
@visitor.when(nodes.ClassDeclarationNode)
def visit(self, node, tabs = 0):
parent = '' if node.parent is None else f'inherits {node.parent}'
ans = '\t' * tabs + f'class {node.id} {parent}'
features = '\n'.join(self.visit(feat, tabs + 1) for feat in node.features)
return f'{ans} {{\n{features}\n}};'
@visitor.when(nodes.AttrDeclarationNode)
def visit(self, node, tabs = 0):
expr = '' if node.expr is None else f'<- {self.visit(node.expr)}'
return '\t' * tabs + f'{node.id}: {node.type} {expr};'
@visitor.when(nodes.MethDeclarationNode)
def visit(self, node, tabs = 0):
params = ', '.join(': '.join(param) for param in node.params)
ans = '\t' * tabs + f'{node.id} ({params}): {node.type}'
body = self.visit(node.body, tabs + 1)
return f'{ans} {{\n{body}\n' + '\t' * tabs + '};'
@visitor.when(nodes.AssignNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{node.id} <- {self.visit(node.expr)}'
@visitor.when(nodes.CallNode)
def visit(self, node, tabs = 0):
obj = '' if node.obj is None else f'{self.visit(node.obj)}' if node.type else f'{self.visit(node.obj)}.'
args = ', '.join(self.visit(arg) for arg in node.args)
typex = '' if node.type is None else f'@ {node.type}'
return '\t' * tabs + f'{obj}{typex}{node.id} ({args})'
@visitor.when(nodes.IfThenElseNode)
def visit(self, node, tabs = 0):
ifx = self.visit(node.if_expr)
then = self.visit(node.then_expr, tabs + 1)
elsex = self.visit(node.else_expr, tabs + 1)
return '\t' * tabs + f'if {ifx}\n' + '\t' * tabs + f'then\n{then}\n' + '\t' * tabs + f'else\n{elsex}\n' + '\t' * tabs + 'fi'
@visitor.when(nodes.WhileNode)
def visit(self, node, tabs = 0):
ans = f'while {self.visit(node.conditional_expr)} loop'
body = self.visit(node.loop_expr, tabs + 1)
return '\t' * tabs + f'{ans}\n{body}\n' + '\t' * tabs + 'pool'
@visitor.when(nodes.BlockNode)
def visit(self, node, tabs = 0):
expr_list = ';\n'.join(self.visit(expr, tabs + 1) for expr in node.expr_list)
return '\t' * tabs + f'{{\n{expr_list};\n' + '\t' * tabs + '}'
@visitor.when(nodes.LetNode)
def visit(self, node, tabs = 0):
identifiers = []
for idx, typex, id_expr in node.identifiers:
if id_expr:
identifiers.append(f'{idx}: {typex} <- {self.visit(id_expr)}')
else:
identifiers.append(f'{idx}: {typex}')
identifiers = (',\n' + '\t' * (tabs + 1)).join(identifiers)
return '\t' * tabs + f'let {identifiers} in\n{self.visit(node.in_expr, tabs + 1)}'
@visitor.when(nodes.CaseNode)
def visit(self, node, tabs = 0):
predicate = self.visit(node.predicate)
branches = '\n'.join(f'\t' * (tabs + 1) + f'{idx}: {typex} =>\n{self.visit(expr, tabs + 2)};' for idx, typex, expr in node.branches)
return '\t' * tabs + f'case {predicate} of \n{branches}\n' + '\t' * tabs + 'esac'
@visitor.when(nodes.NotNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'not {self.visit(node.expr)}'
@visitor.when(nodes.ConstantNumNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{node.lex}'
@visitor.when(nodes.ConstantBoolNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{node.lex}'
@visitor.when(nodes.ConstantStringNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{node.lex}'
@visitor.when(nodes.VariableNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{node.lex}'
@visitor.when(nodes.InstantiateNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'(new {node.lex})'
@visitor.when(nodes.IsVoidNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'isvoid {self.visit(node.lex)}'
@visitor.when(nodes.ComplementNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'~ {self.visit(node.lex)}'
@visitor.when(nodes.PlusNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{self.visit(node.left)} + {self.visit(node.right)}'
@visitor.when(nodes.MinusNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{self.visit(node.left)} - {self.visit(node.right)}'
@visitor.when(nodes.StarNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{self.visit(node.left)} * {self.visit(node.right)}'
@visitor.when(nodes.DivNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{self.visit(node.left)} / {self.visit(node.right)}'
@visitor.when(nodes.LessThanNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{self.visit(node.left)} < {self.visit(node.right)}'
@visitor.when(nodes.LessEqualNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{self.visit(node.left)} <= {self.visit(node.right)}'
@visitor.when(nodes.EqualNode)
def visit(self, node, tabs = 0):
return '\t' * tabs + f'{self.visit(node.left)} = {self.visit(node.right)}' | 36.464052 | 140 | 0.572683 | 781 | 5,579 | 4.072983 | 0.126761 | 0.099025 | 0.118516 | 0.135806 | 0.511789 | 0.484439 | 0.405847 | 0.30745 | 0.30745 | 0.30745 | 0 | 0.008751 | 0.242158 | 5,579 | 153 | 141 | 36.464052 | 0.743614 | 0 | 0 | 0.284404 | 0 | 0 | 0.215591 | 0.110036 | 0 | 0 | 0 | 0 | 0 | 1 | 0.247706 | false | 0.009174 | 0.018349 | 0.155963 | 0.513761 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
953077357cfd8f9828b7b4e30f3f1ede02ab6ba1 | 19 | py | Python | main/smpeg/update.py | RoastVeg/cports | 803c7f07af341eb32f791b6ec1f237edb2764bd5 | [
"BSD-2-Clause"
] | 46 | 2021-06-10T02:27:32.000Z | 2022-03-27T11:33:24.000Z | main/smpeg/update.py | RoastVeg/cports | 803c7f07af341eb32f791b6ec1f237edb2764bd5 | [
"BSD-2-Clause"
] | 58 | 2021-07-03T13:58:20.000Z | 2022-03-13T16:45:35.000Z | main/smpeg/update.py | RoastVeg/cports | 803c7f07af341eb32f791b6ec1f237edb2764bd5 | [
"BSD-2-Clause"
] | 6 | 2021-07-04T10:46:40.000Z | 2022-01-09T00:03:59.000Z | pkgname = "smpeg2"
| 9.5 | 18 | 0.684211 | 2 | 19 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 0.157895 | 19 | 1 | 19 | 19 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.315789 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1f6d175628efd29dfa07f8931ef6ef6857546d51 | 183 | py | Python | core/fixtures/user.py | eduardomarco/django-auth-react-tutorial | 47460a9575d4a82bcb07f7703d189620bddd19b0 | [
"Apache-2.0"
] | 8 | 2021-06-28T17:59:10.000Z | 2022-03-12T12:24:17.000Z | core/fixtures/user.py | eduardomarco/django-auth-react-tutorial | 47460a9575d4a82bcb07f7703d189620bddd19b0 | [
"Apache-2.0"
] | 1 | 2021-08-11T17:07:37.000Z | 2021-08-13T08:40:35.000Z | core/fixtures/user.py | eduardomarco/django-auth-react-tutorial | 47460a9575d4a82bcb07f7703d189620bddd19b0 | [
"Apache-2.0"
] | 5 | 2021-06-29T11:53:28.000Z | 2022-02-07T20:39:45.000Z | from core.user.models import User
data_user = {
"email": "testuser@yopmail.com",
"password": "12345678",
"username": "testuser"
}
User.objects.create_user(**data_user)
| 16.636364 | 37 | 0.672131 | 22 | 183 | 5.454545 | 0.681818 | 0.133333 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052288 | 0.163934 | 183 | 10 | 38 | 18.3 | 0.732026 | 0 | 0 | 0 | 0 | 0 | 0.311475 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.142857 | 0.142857 | 0 | 0.142857 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
1f6ee516584929e148b400ee4e2c8ac02f2cdb98 | 1,397 | py | Python | lung_cancer_prediction_app/views.py | MohanaRuban619/LUNG-CANCER-PREDICTION | 0f70770bf7819cda38de8cabfdc9561f3b703f27 | [
"MIT"
] | null | null | null | lung_cancer_prediction_app/views.py | MohanaRuban619/LUNG-CANCER-PREDICTION | 0f70770bf7819cda38de8cabfdc9561f3b703f27 | [
"MIT"
] | null | null | null | lung_cancer_prediction_app/views.py | MohanaRuban619/LUNG-CANCER-PREDICTION | 0f70770bf7819cda38de8cabfdc9561f3b703f27 | [
"MIT"
] | null | null | null | from django.shortcuts import render
import joblib
def frontview(request):
return render(request,"fors.html",{})
def backview(request):
file = joblib.load(open("data.xlsx.svc","rb"))
cls = file
lis = []
lis.append(request.GET["Age"])
lis.append(request.GET["Gender"])
lis.append(request.GET["Air Pollution"])
lis.append(request.GET["Alcohol use"])
lis.append(request.GET["Dust Allergy"])
lis.append(request.GET["OccuPational Hazards"])
lis.append(request.GET["Genetic Risk"])
lis.append(request.GET["chronic Lung Disease"])
lis.append(request.GET["Balanced Diet"])
lis.append(request.GET["Obesity"])
lis.append(request.GET["Smoking"])
lis.append(request.GET["Passive Smoker"])
lis.append(request.GET["Chest Pain"])
lis.append(request.GET["Coughing of Blood"])
lis.append(request.GET["Fatigue"])
lis.append(request.GET["Weight Loss"])
lis.append(request.GET["Shortness of Breath"])
lis.append(request.GET["Wheezing"])
lis.append(request.GET["Swallowing Difficulty"])
lis.append(request.GET["Clubbing of Finger Nails"])
lis.append(request.GET["Frequent Cold"])
lis.append(request.GET["Dry Cough"])
lis.append(request.GET["Snoring"])
Result = cls.predict([lis])
return render(request,"backes.html",{"Result":Result})
# Create your views here.
| 37.756757 | 59 | 0.663565 | 180 | 1,397 | 5.15 | 0.405556 | 0.223301 | 0.39698 | 0.471413 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166786 | 1,397 | 36 | 60 | 38.805556 | 0.796392 | 0.016464 | 0 | 0 | 0 | 0 | 0.243263 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0.030303 | 0.060606 | 0.030303 | 0.181818 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
1f73846a61ec527a885d52773ba7a90cefb7ecf1 | 249 | py | Python | setup.py | cybojenix/django-hybrid-properties | ee52f3132a60b9443cd9c3d9145163c235afac80 | [
"Apache-2.0"
] | 9 | 2018-05-01T09:02:54.000Z | 2020-07-15T08:58:04.000Z | setup.py | antdking/django-hybrid | ee52f3132a60b9443cd9c3d9145163c235afac80 | [
"Apache-2.0"
] | 1 | 2018-05-08T18:45:29.000Z | 2018-05-08T18:45:29.000Z | setup.py | antdking/django-hybrid | ee52f3132a60b9443cd9c3d9145163c235afac80 | [
"Apache-2.0"
] | 1 | 2018-05-08T18:39:45.000Z | 2018-05-08T18:39:45.000Z | from setuptools import setup
tests_require = [
"pytest",
"pytest-cov",
"pytest-django",
"pytest-factoryboy",
"pytest-mock",
]
setup(
tests_require=tests_require,
extras_require={
'test': tests_require,
}
)
| 13.833333 | 32 | 0.614458 | 25 | 249 | 5.92 | 0.52 | 0.324324 | 0.22973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.253012 | 249 | 17 | 33 | 14.647059 | 0.795699 | 0 | 0 | 0 | 0 | 0 | 0.24498 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
1f759bb47f98ee5e8df11eed02ac5e5f1840f167 | 226 | py | Python | setup.py | bergundy/android-market-api-py | 55a3b0e838a37e52928b4802bea355c47a44c326 | [
"MIT"
] | 1 | 2017-04-11T15:26:01.000Z | 2017-04-11T15:26:01.000Z | setup.py | bergundy/android-market-api-py | 55a3b0e838a37e52928b4802bea355c47a44c326 | [
"MIT"
] | null | null | null | setup.py | bergundy/android-market-api-py | 55a3b0e838a37e52928b4802bea355c47a44c326 | [
"MIT"
] | null | null | null | try:
from setuptools import setup
except ImportError:
from distutils.core import setup
setup(name='googleplay-api',
version='0.1',
packages=['googleplay_api'],
install_requires=['protobuf'],
)
| 20.545455 | 36 | 0.663717 | 25 | 226 | 5.92 | 0.76 | 0.148649 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011299 | 0.216814 | 226 | 10 | 37 | 22.6 | 0.824859 | 0 | 0 | 0 | 0 | 0 | 0.172566 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
1f75d21ad15e62a6417f815378fe0f2ebc26bfd8 | 319 | py | Python | app/tests/test_main.py | arthur0410/fastapi-serverless | 449cdd3e807745b38cc2272f78f4236f350c9425 | [
"MIT"
] | null | null | null | app/tests/test_main.py | arthur0410/fastapi-serverless | 449cdd3e807745b38cc2272f78f4236f350c9425 | [
"MIT"
] | null | null | null | app/tests/test_main.py | arthur0410/fastapi-serverless | 449cdd3e807745b38cc2272f78f4236f350c9425 | [
"MIT"
] | null | null | null | from fastapi.testclient import TestClient
from main import app
client = TestClient(app)
def test_main_resource():
response_auth = client.get(f"/")
assert response_auth.status_code == 200
def test_child_resource():
response_auth = client.get(f"/api/v1/test")
assert response_auth.status_code == 200
| 21.266667 | 47 | 0.742947 | 45 | 319 | 5.044444 | 0.466667 | 0.211454 | 0.176211 | 0.229075 | 0.537445 | 0.537445 | 0 | 0 | 0 | 0 | 0 | 0.026022 | 0.15674 | 319 | 14 | 48 | 22.785714 | 0.817844 | 0 | 0 | 0.222222 | 0 | 0 | 0.040752 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 1 | 0.222222 | false | 0 | 0.222222 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
2f0b8cbca57b85c135feb65d89ccb04de5a9ed1c | 316 | py | Python | utils/mixins/base.py | TCC-CIMATEC/TCC-BACK | 103dcdc9dba995221d0606f1fdd162aa9c43aa86 | [
"MIT"
] | null | null | null | utils/mixins/base.py | TCC-CIMATEC/TCC-BACK | 103dcdc9dba995221d0606f1fdd162aa9c43aa86 | [
"MIT"
] | null | null | null | utils/mixins/base.py | TCC-CIMATEC/TCC-BACK | 103dcdc9dba995221d0606f1fdd162aa9c43aa86 | [
"MIT"
] | null | null | null | from django.db import models
class BaseMixin(models.Model):
class Meta:
abstract = True
active = models.BooleanField(default=True)
created_at = models.DateTimeField(auto_now_add=True, verbose_name='Data de criação')
updated_at = models.DateTimeField(auto_now=True, verbose_name='Data de atualização') | 35.111111 | 86 | 0.775316 | 43 | 316 | 5.534884 | 0.627907 | 0.067227 | 0.176471 | 0.210084 | 0.411765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129747 | 316 | 9 | 87 | 35.111111 | 0.865455 | 0 | 0 | 0 | 0 | 0 | 0.107256 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.857143 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
2f13ddd04e81af444a5d0064372f5ba82be74268 | 1,587 | py | Python | Utils/Packetizer.py | alexweav/ADAF | e46e48d4183ae024dded48feb2fba6bef59cce9f | [
"MIT"
] | 2 | 2017-10-09T21:13:56.000Z | 2017-10-16T05:55:09.000Z | Utils/Packetizer.py | alexweav/ADAF | e46e48d4183ae024dded48feb2fba6bef59cce9f | [
"MIT"
] | 16 | 2017-10-06T20:04:41.000Z | 2017-11-29T22:34:02.000Z | Utils/Packetizer.py | alexweav/ADAF | e46e48d4183ae024dded48feb2fba6bef59cce9f | [
"MIT"
] | null | null | null | import math
"""
Helps convert bytes into network packets
"""
class Packetizer(object):
def __init__(self, data, packet_size=1024):
self.data = data
self.packet_size = packet_size
self.final_packet_size = len(self.data) % self.packet_size
"""
Size of each packet
"""
def PacketSize(self):
return self.packet_size
"""
Number of packets remaining
"""
def PacketsRemaining(self):
return math.ceil(len(self.data) / self.packet_size)
"""
Length of the final offset packet
"""
def FinalPacketSize(self):
return self.final_packet_size
"""
Whether or not the packetizer is ready to send the final packet
"""
def OnFinalPacket(self):
return len(self.data) != 0 and len(self.data) < self.packet_size
"""
Whether or not the packetizer is done with the data stream
"""
def Done(self):
return self.data is None or len(self.data) == 0
"""
Gets the next packet from the data
"""
def Next(self):
if self.Done():
raise ValueError('Packets have all already been consumed')
if self.OnFinalPacket():
packet = self.data
self.data = b""
return self.ZeroPadData(packet, self.packet_size - len(packet))
packet = self.data[:self.packet_size]
self.data = self.data[self.packet_size:]
return packet
"""
Pads a piece of data with null bytes
"""
def ZeroPadData(self, data, pad_amount):
return data + (b"\x00" * pad_amount)
| 25.596774 | 75 | 0.606175 | 202 | 1,587 | 4.663366 | 0.326733 | 0.118896 | 0.118896 | 0.11465 | 0.194268 | 0.147558 | 0.078556 | 0.078556 | 0 | 0 | 0 | 0.007111 | 0.291115 | 1,587 | 61 | 76 | 26.016393 | 0.830222 | 0 | 0 | 0 | 0 | 0 | 0.036301 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.035714 | 0.214286 | 0.642857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
2f322cf0d196249e072966488a9b7d388b988ee7 | 142 | py | Python | Python/2_math_header.py | RealFilllykung/Sample-Programming-Code-Collection | 3a1f5085867b82adc4c1216054dbd2dbc7adfee1 | [
"MIT"
] | null | null | null | Python/2_math_header.py | RealFilllykung/Sample-Programming-Code-Collection | 3a1f5085867b82adc4c1216054dbd2dbc7adfee1 | [
"MIT"
] | null | null | null | Python/2_math_header.py | RealFilllykung/Sample-Programming-Code-Collection | 3a1f5085867b82adc4c1216054dbd2dbc7adfee1 | [
"MIT"
] | null | null | null | import sys
from math import *
#อันนี้คือตัวอย่างเกี่ยวกับ module math ของ python
x = 3.7
print(floor(x))
print(ceil(x))
print(int(sqrt(36))) | 15.777778 | 50 | 0.683099 | 37 | 142 | 2.864865 | 0.783784 | 0.113208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.032258 | 0.126761 | 142 | 9 | 51 | 15.777778 | 0.75 | 0.34507 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.5 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 3 |
2f5fb3538e3435d5ced84291ead369c7fbc818ed | 1,767 | py | Python | compass/tasks/tasks.py | huawei-cloud/compass | 1f09b2d270917ffcc3829e533dd90c04ef664ff6 | [
"Apache-2.0"
] | 2 | 2015-12-07T06:47:16.000Z | 2016-01-18T05:27:52.000Z | compass/tasks/tasks.py | SysCompass/compass-core | b04d02ae97d6fbeea9a6c42c6d368778c371ccde | [
"Apache-2.0"
] | 1 | 2016-03-17T17:36:56.000Z | 2016-03-17T17:36:56.000Z | compass/tasks/tasks.py | SysCompass/compass-core | b04d02ae97d6fbeea9a6c42c6d368778c371ccde | [
"Apache-2.0"
] | 4 | 2016-06-13T17:19:14.000Z | 2018-09-10T03:11:51.000Z | """Module to define celery tasks.
.. moduleauthor:: Xiaodong Wang <xiaodongwang@huawei.com>
"""
from celery.signals import setup_logging
from compass.actions import poll_switch
from compass.actions import trigger_install
from compass.actions import progress_update
from compass.db import database
from compass.tasks.client import celery
from compass.utils import flags
from compass.utils import logsetting
from compass.utils import setting_wrapper as setting
def tasks_setup_logging(**_):
"""Setup logging options from compass setting."""
flags.init()
flags.OPTIONS.logfile = setting.CELERY_LOGFILE
logsetting.init()
setup_logging.connect(tasks_setup_logging)
@celery.task(name="compass.tasks.pollswitch")
def pollswitch(ip_addr, req_obj='mac', oper="SCAN"):
"""Query switch and return expected result.
:param ip_addr: switch ip address.
:type ip_addr: str
:param reqObj: the object requested to query from switch.
:type reqObj: str
:param oper: the operation to query the switch (SCAN, GET, SET).
:type oper: str
"""
with database.session():
poll_switch.poll_switch(ip_addr, req_obj='mac', oper="SCAN")
@celery.task(name="compass.tasks.trigger_install")
def triggerinstall(clusterid):
"""Deploy the given cluster.
:param clusterid: the id of the cluster to deploy.
:type clusterid: int
"""
with database.session():
trigger_install.trigger_install(clusterid)
@celery.task(name="compass.tasks.progress_update")
def progressupdate(clusterid):
"""Calculate the installing progress of the given cluster.
:param clusterid: the id of the cluster to get the intstalling progress.
:type clusterid: int
"""
progress_update.update_progress(clusterid)
| 28.967213 | 76 | 0.739672 | 233 | 1,767 | 5.497854 | 0.334764 | 0.077283 | 0.042155 | 0.056206 | 0.171741 | 0.110851 | 0.110851 | 0.074941 | 0.074941 | 0.074941 | 0 | 0 | 0.164686 | 1,767 | 60 | 77 | 29.45 | 0.867886 | 0.359932 | 0 | 0.08 | 0 | 0 | 0.091778 | 0.078394 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0.44 | 0.36 | 0 | 0.52 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
2f6948b0645143c3cf093b2750b66a6352a3945b | 407 | py | Python | tools/generate_method_table.py | meghanto/tiny_vm | da19e9f4bff3b48349bf13f8dc725d387d01e1f5 | [
"CC-BY-3.0"
] | 2 | 2022-01-12T03:16:07.000Z | 2022-01-15T07:52:48.000Z | tools/generate_method_table.py | meghanto/tiny_vm | da19e9f4bff3b48349bf13f8dc725d387d01e1f5 | [
"CC-BY-3.0"
] | 2 | 2022-01-25T20:52:54.000Z | 2022-01-31T02:46:45.000Z | tools/generate_method_table.py | meghanto/tiny_vm | da19e9f4bff3b48349bf13f8dc725d387d01e1f5 | [
"CC-BY-3.0"
] | 10 | 2022-01-04T04:36:07.000Z | 2022-01-15T00:55:27.000Z | """Generate a method table file,
initializing with the built-in methods.
The method table is used in class loading
to load method addresses into vtables. It is
not used during vm program execution.
"""
import datetime
PROLOG = f"""/* GENERATED ON {datetime.datetime.now()} by {__name__}
DO NOT EDIT BY HAND. REGENERATE INSTEAD.
*/
struct method_address_table_struct {
char *method_name;
}
""" | 21.421053 | 68 | 0.734644 | 59 | 407 | 4.932203 | 0.728814 | 0.075601 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.176904 | 407 | 19 | 69 | 21.421053 | 0.868657 | 0 | 0 | 0 | 1 | 0 | 0.825243 | 0.252427 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.125 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
2f7c7940e8c42e31b4e593427ecb7a7095d301ef | 266 | py | Python | lf3py/wsgi/types.py | rog-works/lf3py | e89937f7aa133ed54d85764f06101ab9abf6b960 | [
"CNRI-Python"
] | null | null | null | lf3py/wsgi/types.py | rog-works/lf3py | e89937f7aa133ed54d85764f06101ab9abf6b960 | [
"CNRI-Python"
] | 48 | 2020-12-19T13:47:26.000Z | 2021-01-07T22:27:56.000Z | lf3py/wsgi/types.py | rog-works/lf3py | e89937f7aa133ed54d85764f06101ab9abf6b960 | [
"CNRI-Python"
] | null | null | null | from typing_extensions import Protocol
from typing import Any, Callable, List, Optional, Tuple
class StartResponse(Protocol):
def __call__(self, status: str, headers: List[Tuple[str, str]], exc_info: Optional[Any] = ...) -> Callable[[bytes], Any]:
...
| 33.25 | 125 | 0.699248 | 33 | 266 | 5.454545 | 0.636364 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.161654 | 266 | 7 | 126 | 38 | 0.807175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.8 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
2f807b03df0634b6e77718f34fe1faea99c1b6b7 | 2,358 | py | Python | linalgebra/vector2.py | matthewflegg/LinearAlgebra | 9de606f16d0730b8cbaa38b64fb9707c09bb1066 | [
"MIT"
] | 1 | 2022-01-03T22:36:01.000Z | 2022-01-03T22:36:01.000Z | linalgebra/vector2.py | matthewflegg/linearalgebra | 9de606f16d0730b8cbaa38b64fb9707c09bb1066 | [
"MIT"
] | null | null | null | linalgebra/vector2.py | matthewflegg/linearalgebra | 9de606f16d0730b8cbaa38b64fb9707c09bb1066 | [
"MIT"
] | null | null | null | # Import math
import math
class Vector2D:
"""The Vector2D object we construct in the
__init__ method has cartesian co-ordinates"""
# Vector2D constructor
def __init__(self, x, y):
self.x, self.y = x, y
def __str__(self): # Human readable string repr
return '{:g}i + {:g}j'.format(self.x, self.y)
def __repr__(self): # Unambiguous string repr
return repr((self.x, self.y))
def dot(self, other): # The dot product of two vectors
if not isinstance(other, Vector2D): # Raises error if not instance
raise TypeError('Can only take dot product of two vectors')
# Returns x and y vals multiplied respectively
return self.x * other.x + self.y * other.y
"""Alias the __matmul__ method to dot so
we can use a @ b as well as a.dot(b)."""
__matmul__ = dot
def __sub__(self, other): # Subtraction of two vectors
return Vector2D(self.x - other.x, self.y - other.y)
def __add__(self, other): # Addition of two vectors
return Vector2D(self.x + other.x, self.y + other.y)
def __mul__(self, scalar): # Multiplies vector by scalar
# If 'scalar' passed in is a scalar calculate product
if isinstance(scalar, int) or isinstance(scalar, float):
# Returns both components multiplied by scalar
return Vector2D(self.x * scalar, self.y * scalar)
# If 'scalar' passed in isn't actually a scalar throw an error
raise NotImplementedError('Can only multiply Vector2D by a scalar')
# Reflected multiplication
def __rmul__(self, scalar):
# Returns scalar * vector
return self.__mul__(scalar)
def __neg__(self): # Invert through origin
return Vector2D(-self.x, -self.y)
def __truediv__(self, scalar): # True division
return Vector2D(self.x / scalar, self.y / scalar)
def __mod__(self, scalar): # Modulus by component
return Vector2D(self.x % scalar, self.y % scalar)
def __abs__(self): # Magnitude of vector
return math.sqrt(self.x**2 + self.y**2)
# Distance between vectors
def distance_to(self, other):
# Subtract magnitudes
return abs(self - other)
def to_polar(self): # Convert co-ordinates to polar
return self.__abs__(), math.atan2(self.y, self.x)
| 31.026316 | 75 | 0.638253 | 324 | 2,358 | 4.441358 | 0.339506 | 0.04517 | 0.029187 | 0.079222 | 0.249479 | 0.165393 | 0.165393 | 0.165393 | 0.125087 | 0.070883 | 0 | 0.008088 | 0.265903 | 2,358 | 75 | 76 | 31.44 | 0.823224 | 0.301527 | 0 | 0 | 0 | 0 | 0.059711 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0.028571 | 0.314286 | 0.857143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
2f9e315f82db404eb4417e941ea743f79f9d2022 | 216 | py | Python | scripts/npc/roro_Check3.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 54 | 2019-04-16T23:24:48.000Z | 2021-12-18T11:41:50.000Z | scripts/npc/roro_Check3.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 3 | 2019-05-19T15:19:41.000Z | 2020-04-27T16:29:16.000Z | scripts/npc/roro_Check3.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 49 | 2020-11-25T23:29:16.000Z | 2022-03-26T16:20:24.000Z | # Created by MechAviv
# [Magic Library Checker] | [1032220]
# Ellinia : Magic Library
if "1" not in sm.getQuestEx(25566, "c3"):
sm.setQuestEx(25566, "c3", "1")
sm.chatScript("You search the Magic Library.") | 36 | 50 | 0.671296 | 30 | 216 | 4.833333 | 0.7 | 0.248276 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117978 | 0.175926 | 216 | 6 | 50 | 36 | 0.696629 | 0.375 | 0 | 0 | 0 | 0 | 0.265152 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 3 |
85cf7c417e149027d7493e02a9c70323e5a207b6 | 572 | py | Python | kiacopy/__init__.py | ganyariya/kiacopy | 2379119a7360fec32211d31c12e37fd9daefd002 | [
"MIT"
] | null | null | null | kiacopy/__init__.py | ganyariya/kiacopy | 2379119a7360fec32211d31c12e37fd9daefd002 | [
"MIT"
] | 69 | 2021-06-23T05:15:49.000Z | 2022-03-31T18:07:22.000Z | kiacopy/__init__.py | ganyariya/kiacopy | 2379119a7360fec32211d31c12e37fd9daefd002 | [
"MIT"
] | null | null | null | from logging import getLogger, NullHandler
from kiacopy.colony import Colony
from kiacopy.colony import Colony
from kiacopy.solver import Solver
from kiacopy.solverplugin import SolverPlugin
from kiacopy.solution import Solution
from kiacopy.ants.ant import Ant
from kiacopy.ants.randomant import RandomAnt
from kiacopy.ants.sensitiveant import SensitiveAnt
from kiacopy import plugins
from kiacopy import utils
from kiacopy import ants
__author__ = """ganariya"""
__email__ = 'ganariya2525@gmail.com'
__version__ = '0.1.0'
getLogger(__name__).addHandler(NullHandler())
| 30.105263 | 50 | 0.83042 | 74 | 572 | 6.202703 | 0.364865 | 0.263617 | 0.098039 | 0.100218 | 0.150327 | 0.150327 | 0.150327 | 0 | 0 | 0 | 0 | 0.013699 | 0.106643 | 572 | 18 | 51 | 31.777778 | 0.88454 | 0 | 0 | 0.125 | 0 | 0 | 0.061189 | 0.038462 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
c823dbe85d23b5116847536714a915899c74862f | 324 | py | Python | Nivek maths/kanu/__init__.py | ThiccTT/nivek-maths | 37f222b3ddc72455313eb619a79bc6045b89b506 | [
"MIT"
] | 6 | 2020-10-18T08:15:44.000Z | 2022-01-19T16:14:40.000Z | Nivek maths/kanu/__init__.py | ThiccTT/nivek-maths | 37f222b3ddc72455313eb619a79bc6045b89b506 | [
"MIT"
] | null | null | null | Nivek maths/kanu/__init__.py | ThiccTT/nivek-maths | 37f222b3ddc72455313eb619a79bc6045b89b506 | [
"MIT"
] | 3 | 2019-06-17T15:44:58.000Z | 2021-08-04T01:37:25.000Z | from .element import get_matching_paren, InvalidVariableError, Element, Variable, InvalidElementError
from .expression import OperatorList, format_parens, parse_expression, to_op_list, to_rpn, all_together_now
from .equation import find_variables, solve_single_linear_equation, NonLinearEquationError
__version__ = '0.1.3'
| 54 | 107 | 0.858025 | 40 | 324 | 6.525 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010101 | 0.083333 | 324 | 5 | 108 | 64.8 | 0.868687 | 0 | 0 | 0 | 0 | 0 | 0.015432 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
c83157f749d7fe31683e613d0d7cb0bab865f887 | 247 | py | Python | possum/exc.py | brysontyrrell/Possum | 0ae7c90d7890f16d8405e346b0778bf878e29d5f | [
"MIT"
] | 24 | 2018-03-14T15:25:52.000Z | 2019-03-13T18:36:46.000Z | possum/exc.py | brysontyrrell/Possum | 0ae7c90d7890f16d8405e346b0778bf878e29d5f | [
"MIT"
] | 20 | 2018-04-11T04:36:40.000Z | 2019-01-17T11:44:30.000Z | possum/exc.py | brysontyrrell/Possum | 0ae7c90d7890f16d8405e346b0778bf878e29d5f | [
"MIT"
] | 5 | 2018-01-04T21:10:15.000Z | 2019-01-16T20:10:12.000Z | class PossumException(Exception):
"""Base Possum Exception"""
class PipenvPathNotFound(PossumException):
"""Pipenv could not be located"""
class SAMTemplateError(PossumException):
"""There was an error reading the template file"""
| 22.454545 | 54 | 0.736842 | 25 | 247 | 7.28 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 247 | 10 | 55 | 24.7 | 0.870813 | 0.380567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
c845b405dfb89bfc6afeaccf4fa73dab1dee293a | 262 | py | Python | scieio/disposition/views.py | arnelimperial/scieio | 279a25766f20d074a3df824c0fbc8b2d8e35f272 | [
"MIT"
] | null | null | null | scieio/disposition/views.py | arnelimperial/scieio | 279a25766f20d074a3df824c0fbc8b2d8e35f272 | [
"MIT"
] | 8 | 2021-03-19T01:56:44.000Z | 2022-03-12T00:24:21.000Z | scieio/disposition/views.py | arnelimperial/scieio | 279a25766f20d074a3df824c0fbc8b2d8e35f272 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from rest_framework import viewsets
from . import models, serializers
class DispositionViewSet(viewsets.ModelViewSet):
queryset = models.Disposition.objects.all()
serializer_class = serializers.DispositionSerializer
| 29.111111 | 56 | 0.824427 | 27 | 262 | 7.925926 | 0.703704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.118321 | 262 | 8 | 57 | 32.75 | 0.926407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
c847ba632fcc836780c365bf6e3ce89816b9948d | 262 | py | Python | Labs/Lab04/QuestionEuler01Solution.py | tariqueameer7/course-python | f1252e82471f7e34d66beb30d9236850df1bd8d4 | [
"Apache-2.0"
] | 1 | 2021-02-04T16:59:11.000Z | 2021-02-04T16:59:11.000Z | Labs/Lab04/QuestionEuler01Solution.py | tariqueameer7/course-python | f1252e82471f7e34d66beb30d9236850df1bd8d4 | [
"Apache-2.0"
] | null | null | null | Labs/Lab04/QuestionEuler01Solution.py | tariqueameer7/course-python | f1252e82471f7e34d66beb30d9236850df1bd8d4 | [
"Apache-2.0"
] | 1 | 2019-10-30T14:37:48.000Z | 2019-10-30T14:37:48.000Z |
end = 1000
total = 0
for x in range(1,end):
if x % 15 == 0:
total = total + x
print(x)
elif x % 5 == 0:
total = total + x
print(x)
elif x % 3 == 0:
total = total + x
print(x)
print(f"total = {total}") | 17.466667 | 25 | 0.438931 | 41 | 262 | 2.804878 | 0.390244 | 0.347826 | 0.286957 | 0.313043 | 0.556522 | 0.556522 | 0.4 | 0.4 | 0 | 0 | 0 | 0.085526 | 0.419847 | 262 | 15 | 26 | 17.466667 | 0.671053 | 0 | 0 | 0.461538 | 0 | 0 | 0.057252 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.307692 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
c85497d6792fe4c6a6dc394dfbf2b80f0877b324 | 234 | py | Python | output/models/nist_data/atomic/long/schema_instance/nistschema_sv_iv_atomic_long_pattern_4_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/atomic/long/schema_instance/nistschema_sv_iv_atomic_long_pattern_4_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/atomic/long/schema_instance/nistschema_sv_iv_atomic_long_pattern_4_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.nist_data.atomic.long.schema_instance.nistschema_sv_iv_atomic_long_pattern_4_xsd.nistschema_sv_iv_atomic_long_pattern_4 import NistschemaSvIvAtomicLongPattern4
__all__ = [
"NistschemaSvIvAtomicLongPattern4",
]
| 39 | 178 | 0.884615 | 28 | 234 | 6.714286 | 0.642857 | 0.159574 | 0.148936 | 0.212766 | 0.340426 | 0.340426 | 0.340426 | 0 | 0 | 0 | 0 | 0.018182 | 0.059829 | 234 | 5 | 179 | 46.8 | 0.836364 | 0 | 0 | 0 | 0 | 0 | 0.136752 | 0.136752 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c07b9919a990aa591ba51626c9f048e22c056d38 | 550 | py | Python | tests/test_routes.py | jonaskaz/Noodle-API | bcfb20c58a92ddea1aa870b6f717cbf4b9aa2488 | [
"MIT"
] | 1 | 2021-11-04T16:33:34.000Z | 2021-11-04T16:33:34.000Z | tests/test_routes.py | jonaskaz/Noodle-API | bcfb20c58a92ddea1aa870b6f717cbf4b9aa2488 | [
"MIT"
] | null | null | null | tests/test_routes.py | jonaskaz/Noodle-API | bcfb20c58a92ddea1aa870b6f717cbf4b9aa2488 | [
"MIT"
] | null | null | null |
def test_post_order(client, order_payload):
res = client.post("/order", json = order_payload)
assert res.status_code == 200
def test_post_game(client, game_payload):
res = client.post("/order", json = game_payload)
assert res.status_code == 200
def test_get_order(client):
res1 = client.get("/order")
assert res1.json()["mode"] == 0
assert res1.json()["toppings"] == ["onions", "spice"]
res2 = client.get("/order")
assert res2.json()["mode"] == 1
res3 = client.get("/order")
assert res3.json() == {}
| 26.190476 | 57 | 0.634545 | 74 | 550 | 4.554054 | 0.310811 | 0.094955 | 0.124629 | 0.178042 | 0.385757 | 0.385757 | 0.21365 | 0.21365 | 0 | 0 | 0 | 0.033632 | 0.189091 | 550 | 20 | 58 | 27.5 | 0.721973 | 0 | 0 | 0.142857 | 0 | 0 | 0.104015 | 0 | 0 | 0 | 0 | 0 | 0.428571 | 1 | 0.214286 | false | 0 | 0 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 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 | 0 | 0 | 0 | 3 |
c0962c0011012f40b124a247ae3c0cc696c96587 | 477 | py | Python | census_similarity/metrics.py | 18F/census-similarity | 1af03a7fc9fc865b037abcb460386fb9b73bc103 | [
"CC0-1.0"
] | 1 | 2016-09-28T16:02:58.000Z | 2016-09-28T16:02:58.000Z | census_similarity/metrics.py | 18F/census-similarity | 1af03a7fc9fc865b037abcb460386fb9b73bc103 | [
"CC0-1.0"
] | 11 | 2016-09-26T18:44:18.000Z | 2016-10-15T23:30:41.000Z | census_similarity/metrics.py | 18F/census-similarity | 1af03a7fc9fc865b037abcb460386fb9b73bc103 | [
"CC0-1.0"
] | 3 | 2016-09-28T10:02:17.000Z | 2021-02-15T09:58:33.000Z | """Distance metrics"""
import distance
from scipy import spatial
def cosine(left, right):
elements = set(left) | set(right)
elements = list(sorted(elements))
left = [int(el in left) for el in elements]
right = [int(el in right) for el in elements]
return spatial.distance.cosine(left, right)
def levenshtein(left, right):
return distance.levenshtein(left, right, normalized=True)
def jaccard(left, right):
return distance.jaccard(left, right)
| 23.85 | 61 | 0.704403 | 65 | 477 | 5.169231 | 0.353846 | 0.160714 | 0.089286 | 0.089286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.18239 | 477 | 19 | 62 | 25.105263 | 0.861538 | 0.033543 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.166667 | 0.166667 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
c09718359923b744f7ba947170a3adc6e69f2cb7 | 162 | py | Python | lib/pylsdj/bread/__init__.py | iLambda/lsdj-wave-cruncher | b49f2f3943d396ee01263f25c8d7a38a65f63ff4 | [
"MIT"
] | 15 | 2016-10-11T16:48:58.000Z | 2022-02-19T01:39:00.000Z | lib/pylsdj/bread/__init__.py | urbster1/lsdj-wave-cruncher | 8da1f384f83c79a87cbd311c5dbbf3fe93fb5054 | [
"MIT"
] | 2 | 2016-10-11T11:55:30.000Z | 2021-01-31T12:11:16.000Z | lib/pylsdj/bread/__init__.py | iLambda/lsdj-wave-cruncher | b49f2f3943d396ee01263f25c8d7a38a65f63ff4 | [
"MIT"
] | 5 | 2016-10-11T11:42:47.000Z | 2021-07-10T12:23:25.000Z | __title__ = 'bread'
__version__ = '2.2.0'
__author__ = 'Alex Rasmussen'
__license__ = 'MIT'
__copyright__ = 'Copyright 2015 Alex Rasmussen'
from .bread import *
| 20.25 | 47 | 0.734568 | 19 | 162 | 5.210526 | 0.736842 | 0.262626 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050725 | 0.148148 | 162 | 7 | 48 | 23.142857 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0.345679 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
c0be744cb13aff37e64849df94dc5c6c0e8f9cfc | 89 | py | Python | okex/v5/cttype.py | quantmew/okex-py | 3e96413cd4e6dd5779ff2c47b8c76be53448783d | [
"MIT"
] | 32 | 2021-05-06T01:46:17.000Z | 2022-03-09T03:34:24.000Z | okex/v5/cttype.py | PattonChen/okex-py | cced7f1419da0940a2200ce66d62b4f9539949f2 | [
"MIT"
] | 3 | 2021-05-09T14:40:54.000Z | 2021-11-24T13:29:30.000Z | okex/v5/cttype.py | PattonChen/okex-py | cced7f1419da0940a2200ce66d62b4f9539949f2 | [
"MIT"
] | 14 | 2021-05-11T23:36:18.000Z | 2021-12-28T09:47:35.000Z |
from enum import Enum
class CtType(Enum):
LINEAR = "linear"
INVERSE = "inverse" | 14.833333 | 23 | 0.662921 | 11 | 89 | 5.363636 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.235955 | 89 | 6 | 23 | 14.833333 | 0.867647 | 0 | 0 | 0 | 0 | 0 | 0.146067 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
c0c5910e021a0d83ff30289ae62e1159af2f9c6d | 7,315 | py | Python | backend/externalise/tests.py | StichtingIAPC/swipe | d1ea35a40813d2d5e9cf9edde33148c0a825efc4 | [
"BSD-3-Clause-Clear"
] | null | null | null | backend/externalise/tests.py | StichtingIAPC/swipe | d1ea35a40813d2d5e9cf9edde33148c0a825efc4 | [
"BSD-3-Clause-Clear"
] | null | null | null | backend/externalise/tests.py | StichtingIAPC/swipe | d1ea35a40813d2d5e9cf9edde33148c0a825efc4 | [
"BSD-3-Clause-Clear"
] | null | null | null | from django.test import TestCase
from tools.testing import TestData
from decimal import Decimal
from money.models import Cost
from externalise.models import ExternaliseDocument, IncorrectPriceError, IncorrectCountError, ExternaliseLine
from stock.models import Stock
class ExternaliseTests(TestCase, TestData):
def setUp(self):
self.setup_base_data()
def test_illegal_cost(self):
local_cost = Cost(amount=Decimal(-2), currency=self.currency_eur)
count = 2
with self.assertRaises(IncorrectPriceError):
ExternaliseDocument.create_external_products_document(user=self.user_1,
article_information_list=[
(self.articletype_1, count, local_cost)],
memo="Foo")
def test_zero_count(self):
local_cost = Cost(amount=Decimal(2), currency=self.currency_eur)
count = 0
with self.assertRaises(IncorrectCountError):
ExternaliseDocument.create_external_products_document(user=self.user_1,
article_information_list=[
(self.articletype_1, count, local_cost)],
memo="Foo")
def test_single_article(self):
local_cost = Cost(amount=Decimal(2), currency=self.currency_eur)
count = 2
ExternaliseDocument.create_external_products_document(user=self.user_1,
article_information_list=[
[self.articletype_1, count, local_cost]],
memo="Foo")
st = Stock.objects.get()
self.assertEqual(st.book_value, local_cost)
self.assertEqual(st.count, count)
self.assertEqual(st.article, self.articletype_1)
self.assertEqual(st.labeltype, None)
els = ExternaliseLine.objects.all()
self.assertEqual(len(els), 1)
el = els[0]
self.assertEqual(el.count, count)
self.assertEqual(el.article_type, self.articletype_1)
self.assertEqual(el.cost, local_cost)
def test_article_combination_merging(self):
local_cost = Cost(amount=Decimal(2), currency=self.currency_eur)
count = 2
ExternaliseDocument.create_external_products_document(user=self.user_1,
article_information_list=[
[self.articletype_1, count, local_cost],
[self.articletype_1, count, local_cost]],
memo="Foo")
st = Stock.objects.get()
self.assertEqual(st.book_value, local_cost)
self.assertEqual(st.count, 2*count)
self.assertEqual(st.article, self.articletype_1)
self.assertEqual(st.labeltype, None)
els = ExternaliseLine.objects.all()
self.assertEqual(len(els), 1)
def test_separate_addition_of_article(self):
local_cost = Cost(amount=Decimal(2), currency=self.currency_eur)
count = 2
ExternaliseDocument.create_external_products_document(user=self.user_1,
article_information_list=[
[self.articletype_1, count, local_cost],
],
memo="Foo")
ExternaliseDocument.create_external_products_document(user=self.user_1,
article_information_list=[
[self.articletype_1, count, local_cost],
],
memo="Foo")
st = Stock.objects.get()
self.assertEqual(st.book_value, local_cost)
self.assertEqual(st.count, 2 * count)
self.assertEqual(st.article, self.articletype_1)
self.assertEqual(st.labeltype, None)
els = ExternaliseLine.objects.all()
self.assertEqual(len(els), 2)
def test_two_articles(self):
local_cost_1 = Cost(amount=Decimal(4), currency=self.currency_eur)
local_cost_2 = Cost(amount=Decimal(5), currency=self.currency_eur)
count_1 = 2
count_2 = 3
ExternaliseDocument.create_external_products_document(user=self.user_1,
article_information_list=[
[self.articletype_1, count_1, local_cost_1],
[self.articletype_2, count_2, local_cost_2]],
memo="Foo")
self.assertEqual(len(Stock.objects.all()), 2)
st_1 = Stock.objects.get(article=self.articletype_1)
st_2 = Stock.objects.get(article=self.articletype_2)
self.assertEqual(st_1.book_value, local_cost_1)
self.assertEqual(st_1.count, count_1)
self.assertEqual(st_1.article, self.articletype_1)
self.assertEqual(st_1.labeltype, None)
self.assertEqual(st_2.book_value, local_cost_2)
self.assertEqual(st_2.count, count_2)
self.assertEqual(st_2.article, self.articletype_2)
self.assertEqual(st_2.labeltype, None)
els = ExternaliseLine.objects.all()
self.assertEqual(len(els), 2)
def test_price_merging(self):
local_cost_1 = Cost(amount=Decimal(2), currency=self.currency_eur)
local_cost_2 = Cost(amount=Decimal(5), currency=self.currency_eur)
count_1 = 2
count_2 = 1
ExternaliseDocument.create_external_products_document(user=self.user_1,
article_information_list=[
[self.articletype_1, count_1, local_cost_1]],
memo="Foo")
ExternaliseDocument.create_external_products_document(user=self.user_1,
article_information_list=[
[self.articletype_1, count_2, local_cost_2]],
memo="Foo2")
desired_cost = Cost(amount=Decimal(3), currency=self.currency_eur)
st = Stock.objects.get()
self.assertEqual(st.book_value, desired_cost)
self.assertEqual(st.count, count_1+count_2)
self.assertEqual(st.article, self.articletype_1)
self.assertEqual(st.labeltype, None)
els = ExternaliseLine.objects.all()
self.assertEqual(len(els), 2)
| 54.185185 | 111 | 0.520437 | 684 | 7,315 | 5.317251 | 0.109649 | 0.136101 | 0.11218 | 0.063239 | 0.786637 | 0.753643 | 0.721199 | 0.675832 | 0.670883 | 0.65906 | 0 | 0.020562 | 0.40164 | 7,315 | 134 | 112 | 54.589552 | 0.810372 | 0 | 0 | 0.606557 | 0 | 0 | 0.003828 | 0 | 0 | 0 | 0 | 0 | 0.286885 | 1 | 0.065574 | false | 0 | 0.04918 | 0 | 0.122951 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 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 | 3 |
c0c82419820fc2654d3313e9ba40f79e72c45b38 | 403 | py | Python | wcraas_discovery/cli.py | panagiks/wcraas_discovery | 77f9a9ec8a2b00555e8176fc84294da953b3b1fa | [
"MIT"
] | null | null | null | wcraas_discovery/cli.py | panagiks/wcraas_discovery | 77f9a9ec8a2b00555e8176fc84294da953b3b1fa | [
"MIT"
] | 1 | 2021-11-15T17:49:49.000Z | 2021-11-15T17:49:49.000Z | wcraas_discovery/cli.py | panagiks/wcraas_discovery | 77f9a9ec8a2b00555e8176fc84294da953b3b1fa | [
"MIT"
] | 1 | 2019-10-04T05:07:28.000Z | 2019-10-04T05:07:28.000Z | # -*- coding: utf-8 -*-
"""Console script for wcraas_discovery."""
import sys
import click
from wcraas_discovery import DiscoveryWorker
from wcraas_discovery.config import Config
@click.command()
def main(args=None):
"""Console script for wcraas_discovery."""
worker = DiscoveryWorker(*Config.fromenv())
worker.run()
if __name__ == "__main__":
sys.exit(main()) # pragma: no cover
| 20.15 | 47 | 0.707196 | 49 | 403 | 5.571429 | 0.571429 | 0.21978 | 0.117216 | 0.161172 | 0.227106 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00295 | 0.158809 | 403 | 19 | 48 | 21.210526 | 0.80236 | 0.280397 | 0 | 0 | 0 | 0 | 0.028777 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.4 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
c0e8f92a75016fbbf76bf2a6fb6b6f279be5b5e1 | 1,092 | py | Python | source/detection/OCRDetector.py | FrancescoSaverioZuppichini/Smash-Bros-Melee | 4ca6f67240bfe60e86a82409c4056aaa25a5a860 | [
"MIT"
] | null | null | null | source/detection/OCRDetector.py | FrancescoSaverioZuppichini/Smash-Bros-Melee | 4ca6f67240bfe60e86a82409c4056aaa25a5a860 | [
"MIT"
] | null | null | null | source/detection/OCRDetector.py | FrancescoSaverioZuppichini/Smash-Bros-Melee | 4ca6f67240bfe60e86a82409c4056aaa25a5a860 | [
"MIT"
] | null | null | null | import pytesseract
import cv2
from detection import Detector
from PIL import Image
from dataclasses import dataclass
from utils import imshow
import numpy as np
from detection import Detector
@dataclass
class OCRDetector(Detector):
"""
Easy peasy ocr with tesseract, to improve the prediction you can pass
`text_color` to cutoff all values that are not text.
TODO: probably there is a cv2 function in which we can define a color and a range.
"""
text_color: int = 165
smooth: bool = True # if True apply Gaussian Blur to remove noise
show_img: bool = False
transform: callable = None
config: str = ''
def detect(self, img):
if self.smooth:
img = cv2.GaussianBlur(img, (3, 3), 0)
if self.text_color:
img = img < self.text_color
if self.transform is not None: img = self.transform(img)
img = img.astype('uint8')
if self.show_img: imshow(img)
x = Image.fromarray(img * 255)
text = pytesseract.image_to_string(x, lang='eng', config=self.config)
return text | 30.333333 | 86 | 0.666667 | 156 | 1,092 | 4.615385 | 0.532051 | 0.05 | 0.052778 | 0.075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016069 | 0.259158 | 1,092 | 36 | 87 | 30.333333 | 0.873918 | 0.231685 | 0 | 0.076923 | 0 | 0 | 0.009804 | 0 | 0 | 0 | 0 | 0.027778 | 0 | 1 | 0.038462 | false | 0 | 0.307692 | 0 | 0.615385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
23a0a03a2bb614c031ced5ebee63ba58401296d4 | 268 | py | Python | Application.py | l0athe/lecture2 | 8505f1dc6edb9e04aeb4f6f6f9dc5a7e64b87b69 | [
"MIT"
] | 1 | 2018-07-29T18:40:47.000Z | 2018-07-29T18:40:47.000Z | Application.py | l0athe/lecture2 | 8505f1dc6edb9e04aeb4f6f6f9dc5a7e64b87b69 | [
"MIT"
] | null | null | null | Application.py | l0athe/lecture2 | 8505f1dc6edb9e04aeb4f6f6f9dc5a7e64b87b69 | [
"MIT"
] | null | null | null | from flask import Flask
app = Flask(__name__)
@app.route("/")
def index():
return "MAKE IT RAINGURL, MAKE IT RAIN!"
@app.route("/<string:name>")
def hello(name):
name = name.capitalize()
return f"<h1>Oh yeah hey {name} hey wassup?</h1>"
| 17.866667 | 54 | 0.608209 | 38 | 268 | 4.184211 | 0.578947 | 0.100629 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009662 | 0.227612 | 268 | 14 | 55 | 19.142857 | 0.758454 | 0 | 0 | 0 | 0 | 0 | 0.334646 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.111111 | 0.111111 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 3 |
23a0eb8783bdb2147bd53bedb25189d718eab953 | 835 | py | Python | mnelab/dialogs/__init__.py | dmedine/mnelab | d1942da5fd274de6aa97fd9ba050a9c12a8da058 | [
"BSD-3-Clause"
] | null | null | null | mnelab/dialogs/__init__.py | dmedine/mnelab | d1942da5fd274de6aa97fd9ba050a9c12a8da058 | [
"BSD-3-Clause"
] | null | null | null | mnelab/dialogs/__init__.py | dmedine/mnelab | d1942da5fd274de6aa97fd9ba050a9c12a8da058 | [
"BSD-3-Clause"
] | null | null | null | # Authors: Clemens Brunner <clemens.brunner@gmail.com>
#
# License: BSD (3-clause)
from .annotationsdialog import AnnotationsDialog
from .calcdialog import CalcDialog
from .channelpropertiesdialog import ChannelPropertiesDialog
from .cropdialog import CropDialog
from .epochdialog import EpochDialog
from .errormessagebox import ErrorMessageBox
from .eventsdialog import EventsDialog
from .filterdialog import FilterDialog
from .findeventsdialog import FindEventsDialog
from .historydialog import HistoryDialog
from .interpolatebadsdialog import InterpolateBadsDialog
from .metainfodialog import MetaInfoDialog
from .montagedialog import MontageDialog
from .pickchannelsdialog import PickChannelsDialog
from .referencedialog import ReferenceDialog
from .runicadialog import RunICADialog
from .xdfstreamsdialog import XDFStreamsDialog
| 37.954545 | 60 | 0.869461 | 79 | 835 | 9.189873 | 0.35443 | 0.038567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001323 | 0.094611 | 835 | 21 | 61 | 39.761905 | 0.958995 | 0.091018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
23c42b3616a337da92d375cf92a907b1db17fc19 | 123 | py | Python | data/studio21_generated/interview/1954/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | data/studio21_generated/interview/1954/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | data/studio21_generated/interview/1954/starter_code.py | vijaykumawat256/Prompt-Summarization | 614f5911e2acd2933440d909de2b4f86653dc214 | [
"Apache-2.0"
] | null | null | null | class Solution:
def smallestSufficientTeam(self, req_skills: List[str], people: List[List[str]]) -> List[int]:
| 41 | 98 | 0.674797 | 15 | 123 | 5.466667 | 0.733333 | 0.170732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178862 | 123 | 3 | 99 | 41 | 0.811881 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
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